Examining the distribution patterns of sympatric large carnivores provides critical insights into the roles of prey availability and human disturbances in shaping the landscape use of these key predators. The Thung Yai Naresuan (East) Wildlife sanctuary (TYNE) in western Thailand has been presumed to be a natural stronghold for tigers (Panthera tigris), leopards (Panthera pardus), and large ungulates, but little was known about their habitat relationships there. During April 2010–February 2012, camera trap surveys (n = 106 camera trap locations; n = 1817 trap nights) and sign surveys (n = 493 km of transects) were designed to systematically cover overlapping areas of 925 km2 and 1421 km2, respectively, to characterize and evaluate tiger and leopard distribution in TYNE. Occupancy modeling was used to estimate the potential environmental and anthropogenic factors that best explained habitats used by these large carnivores. The predictive model of tiger and leopard occupancy from surveys at the same sampling scale revealed similar relationships between limiting factors and space use. Camera surveys show that tigers are more likely than leopards to inhabit areas where gaur (Bos gaurus) and sambar (Cervus unicolor) are frequently found.. Sign surveys from across TYNE also indicated tiger distribution was characterized by the presence of large ungulates, as well by areas with high ranger patrol effort; leopard distribution was characterized by a higher occurrence of smaller barking deer (Muntiacus vaginalis) and wild boar (Sus scrofa), and by areas with low human disturbance. Our findings suggest that tigers and leopards have specific habitat preferences within the TYNE, with tigers showing a preference for areas with larger ungulates. In contrast, leopards are more likely to be found in areas with smaller prey. Human settlement areas and disturbance activities were identified as key factors influencing the distribution of both species, limiting their range to the central to the eastern part of the sanctuary.
Recently, onboard sensing and support devices have been used for the well-being of humans, animals, birds, plants and, more generally, biodiversity. The performance of these tools is closely linked to their electromagnetic environment, mainly artificially created by humans. Therefore, the presence of electromagnetic radiation linked to human activities near such tools constitutes a threat. The intelligent and sustainable manufacturing of these tools, which makes it possible to face such a threat, can be achieved through their design and optimization. This commentary aims to highlight the interaction of artificial electromagnetic radiation with onboard health tools involving living tissues in urban biodiversity (One Health concept) and the intelligent and sustainable construction and protection (Responsible Attitude concept) of these tools. The manuscript presents an overview of onboard devices, possible effects of electromagnetic radiation, durable construction and shielding, and analysis of electromagnetic compatibility integrity control. The main outcome of this contribution regarding sustainably designed onboard devices is that numerical analysis tools of electromagnetic fields could efficiently verify their integrity and the behavior of their necessary smart shields. These different themes are associated with examples of literature.
The nucleus of the solitary tract (NTS) is the primary hub for sensing and integrating respiratory information. It integrates input from the vagus and glossopharyngeal nerve. It interacts with other brainstem nuclei, such as the nucleus ambiguus (NA) and the dorsal motor nucleus of the vagus (DMV), to transmit information and initiate a neuroreflex response to respiratory stimuli. In a recent issue of the journal Nature, Su et al. demonstrated that Dbh+ neurons in the NTS can receive signals from vagal Trpv1+ sensory neurons that sense allergen−induced IL−4 production in mast cells and pass the signal to Chat+ neurons in the NA by releasing norepinephrine. Subsequently, NA Chat+ neurons drive allergen−induced airway hyperresponsiveness by projecting onto cholinergic pulmonary ganglia in the lungs. This study not only provides new insights into the regulation of allergen−induced airway hyperresponsiveness by lung−vagus–brainstem interoceptive circuit but also provides us with new strategies to combat asthma.
Forensic DNA analysis has fundamentally transformed criminal investigations, providing an unprecedented level of accuracy in identifying suspects, exonerating the innocent, and solving cold cases. This manuscript reviews the emerging technologies that are reshaping the field of forensic DNA analysis, including next-generation sequencing (NGS), rapid DNA analysis, AI-driven forensic workflows, 3D genomics, and mobile DNA platforms. These innovations enhance the speed, precision, and scope of DNA analysis, allowing forensic scientists to process evidence more efficiently, analyze more complex samples, and conduct real-time field-based investigations. While these advancements hold great promise, they also introduce significant challenges, such as ensuring data security, maintaining the integrity of evidence, and navigating the ethical and legal implications of new forensic technologies. Issues related to privacy, consent, and potential bias in DNA databases are becoming increasingly complex as these systems expand. Furthermore, the legal admissibility of cutting-edge technologies like AI-driven DNA analysis and phenotypic prediction must be carefully evaluated to ensure the rigorous standards of forensic evidence in court are met.This review explores the opportunities and challenges associated with these emerging technologies, emphasizing the importance of responsible and ethical use. By examining advances in DNA extraction, spatial DNA analysis, and the integration of AI in forensic workflows, this manuscript provides forensic professionals with a roadmap for navigating the evolving landscape of forensic DNA analysis. The future of forensic DNA analysis lies in balancing technological innovation with the commitment to justice, ensuring that DNA evidence remains a reliable and indispensable tool in pursuing a more equitable legal system.
Understanding community preferences and perceptions of ecosystem services is needed to generate local-level financing through Payment for Ecosystem Services. Local-level financing is crucial for both ecosystem management and also helpful in climate change adaptation actions. This research focuses on community perceptions of payment for ecosystem schemes and their preferences to generate local-level financing. The study was carried out in Dhankuta and Dasarath Chand municipalities, representing Koshi and Sudur Paschim provinces of Nepal. We applied social science research methods using focus group discussions, key informant interviews, and community surveys. The study indicates that community-perceived payment for ecosystem service schemes can be instrumental in generating local financing, and their preference is more towards in-kind or project-based payment mechanisms. While climate change is largely impacting ecosystems and community livelihoods, project-based payment mechanisms could be more effective than cash payments. However, this needs a strong institutional mechanism within the municipal government where such in-kind or project-based support could be mobilized through a multisectoral approach.
Good projects and solutions aiming at sustainable development must repair the damage done in past decades by being explicitly designed and monitored to achieve synergetic benefits for the environment and society. We identify environmental, social and economic aspects of sustainability in which enlightened forest management can increase the fulfillment of human and ecological needs and hence the quality of life of present and future generations. Projects aiming at energy production and profits at the cost of biodiversity, nature protection, and human health and well-being are therefore questionable and increasingly socially and politically unacceptable—especially where the viability of alternative options with better social and ecological footprints can be easily demonstrated. This is also true for renewable energy projects. The perspective presented here demonstrates how ostensibly renewable energy projects in natural areas, such as large-scale wind and solar power plants in traditional forests, which are planned, for example, in Germany, may be detrimental to ecological and social sustainability. Forests cut down for such projects are “non-renewable” within reasonable time-scales left to stabilize our climate and ecosystems. Such projects also impair the credibility of the proclaimed role model character and sustainability leadership of Global North countries, which can lead to negative implications for the protection of forests in tropical countries.
Human identification is the core component of Forensic Odontology. The process of identification of unknown remains generally starts with the reconstruction of the skeletal biological profile, which provides a general description of the individual that is used to narrow down the candidates for the identity. Once one or more candidates are given for the identity, forensic odontologists conduct the comparison between the antemortem and postmortem records. The postmortem vs. the antemortem data comparison implies the evaluation of the consistencies and inconsistencies found in the data sets. This comparison is highly affected by the quality and completeness of the antemortem records, as well as the condition of the remains. The principles of the odontological comparison are based on the differences in the dental and maxillofacial structures due to human variation, development and pathology, and the alteration caused by dental treatment, which can be visually and radiographically observed. Restorative treatment, osseointegrated dental implants, fixed orthodontic and prosthetic appliances, along with dental and maxillofacial anatomy are the most informative features for the postmortem vs. antemortem comparison. The process of comparison consists of an objective identification of the consistencies and discrepancies. However, their interpretation and the final conclusion relies on the forensic odontologist knowledge and proficiency. Computer software packages such as WinID, DVI System International and UVIS can assist in the comparisons, connecting the postmortem and antemortem information and creating a ranking of possible matches. Moreover, deep machine learning models are being explored automate the comparison process. However, all comparison procedures still require the expert’s final assessment.
High-speed rail (HSR) has revolutionized global transportation by providing fast, reliable, and efficient city-to-city travel. While its urban benefits are well-documented, the potential advantages for rural development are often overlooked. The high-speed rail project on the Naples-Bari route in Southern Italy aims to connect the urban centers of Naples in Campania and Bari in Apulia, traversing inland and rural areas. Initiated in 2016 and planned for completion in 2028, this project is anticipated to deliver numerous benefits. The purpose of this research is to examine the largely overlooked high-speed rail (HSR) in Southern Italy from an economic and territorial perspective and to determine whether it can sustainably promote rural development in the areas along the railway line. This study examines whether the HSR line will enhance economic activities, strengthen industries, and improve spatial accessibility in rural areas. Using a 2020 dataset covering 25 municipalities along the railway line, including those with stations and construction sites projected to open by 2024, three regression models were employed to estimate potential improvements in income and employment. The findings indicate mixed results: access time to airports improves, decreasing by 7%, while access to ports does not see similar benefits. Income shows a positive correlation with HSR, increasing with population growth around stations, suggesting a trend towards urban agglomeration. However, the study underscores that HSR is not universally beneficial for rural economies and that supportive development networks are crucial. Policies should adopt short-term strategies to strengthen future HSR projects and prepare for the anticipated surge in mass tourism to rural areas.
To meet the high-quality requirements for clean steel production and fully exploit the performance advantages of carbon-containing refractories, nanomaterial has been introduced into the matrix to develop advanced carbon-containing refractories. Nanomaterials, as critical additives, play a crucial role in developing novel refractories. The service performances of carbon-containing refractories are affected not only by their physical and chemical properties but also by their microstructure. This review provides a comprehensive overview of the latest research on oxide-carbon composite refractories containing nanomaterials, categorized by their composition: nanocarbons, nano oxides, and nano non-oxides. Incorporating nanomaterials can enhance the service performances of the refractories, optimizing phase composition and microstructure. Furthermore, future research directions in nanomaterial technology for carbon-containing refractories are discussed.
Lithium batteries pave way for rapidly reducing greenhouse gas emissions. Still there are concerns associated with battery sustainability, such as the supply of key battery materials like cobalt, nickel and carbon emissions related to their manufacture. While LiMn2O4 spinel is a common cathode material for Li-ion batteries that remove Co and Ni, studies on over-stoichiometric variants and their behavior across a broad potential range may be limited. Research in this area could provide valuable insights into the performance, stability and electrochemical characteristics of such cathodes, offering potential benefits for the development and optimization of Li-ion battery technologies. This study investigates the electrochemical behavior of Li-rich Li1+yMn2−yO4−δ (LMO, y ≈ 0.03, δ ≈ 0.01) spinel as a cathode in Li-ion batteries, focusing on the phenomenon of extra capacity under the extended operating voltage 1.5–4.8 V vs. Li+/Li. The nanostructured LMO sample synthesized by sol-gel method and calcined at 900 °C is characterized by X-ray diffraction, scanning and transmission electron microscopy and surface area measurements. The Li-rich spinel electrode delivers a specific discharge capacity of 172 mAh g−1 at 1st cycle. It retains 123 mAh g−1 at the 100th cycle (71.5% capacity retention) at current density of 100 mA g−1 current density (i.e., ~0.7 C rate). An excellent stability is obtained in the 1.5–4.8 V potential window, with a discharge capacity of 77 mAh g−1 after 500 cycles at the same current density, owing to the reduction of the Jahn-Teller effect by Li doping. These results contrast with the specific capacity of 85 mAh g−1 (1st cycle) and the capacity retention of 54.3% after 100 cycles, obtained when the cell operates in the narrow potential range of 3.0–4.5 V.