Depression is a heterogeneous disease, with individual symptoms uniquely associated with negative cognitive processing bias and self-control. However, studies on the relationships among them from a fine-grained level are lacking. The present study employed network analysis to explore the specific connections among the three constructs based on the dual-process model. Recruiting 1168 Chinese university students, the study estimated a regularized partial correlation network. Depression, negative cognitive processing bias, and self-control were assessed with the nine-item Patient Health Questionnaire (PHQ-9), the Negative Cognitive Processing Bias Questionnaire (NCPBQ), and the Brief Self-Control Scale (BSCS), respectively. Depression nodes fatigue, sad mood, and guilt were the most central symptoms. Negative memory bias, negative attention bias, and guilt were the bridge nodes. Network revealed distinct relations between different negative cognitive processing bias dimensions and depression symptoms, self-control and depression symptoms, and direct antagonistic effects between negative cognitive processing bias and self-control. The current study showed specific pathways between the three communities, and highlighted the role of dual-process model variables in depression development. Focusing on the identified critical depression nodes and related pathways could be effective for depression prevention and intervention.
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.
The origin of exceptionally rich fish communities harboured within the freshwater systems of southern Europe is usually explained by allopatric speciation due to a long isolation of water basins. On the other hand, hybridization events have been recorded in several fish species, but they role in the speciation of freshwater fishes in the Southern Europe has not received significant attention. Contrary to most species within the Leuciscidae family, the genus Delminichthys inhabits a geographically restricted area (middle and southern Dinarides) and consists of only four endemic species. This study analysed the population genetic structure and demographic history of each Delminichthys species as a contribution to the understanding of the evolutionary peculiarities in Dinaric water systems. The obtained results revealed pronounced mito-nuclear and nuclear-nuclear discordance, likely the result of incomplete lineage sorting, as well as nuclear introgression observed in the Ombla River population in southernmost Croatia. In addition to allopatric speciation, ancient hybridization might have played an important role in the evolutionary history of this genus. The origin of the genus Delminichthys can be dated back to the Oligocene/Miocene boundary, to a period of significant tectonic activity in the Mediterranean region, and its ancestor likely inhabited the region of the central Dinarides. Intrageneric divergences occurred in the lower Miocene and Pliocene. Similarly, as previously proposed for Delminichthys adspersus, traces of underground migrations were found among Delminichthys ghetaldii populations, implying adaptations to underground life to be characteristic for the genus. All Delminichthys species express high levels of genetic diversity, likely as a consequence of their old origin. Size of D. adspersus is currently decreasing, while the remaining three species appear stable.
Offshore wind turbines (OWTs) in cold climate regions have become increasingly significant due to the abundant wind resources with the development of renewable energy. These areas offer considerable potential for the development of OWTs. Generating energy for communities in cold climate regions involves overcoming significant challenges posed by the remote and harsh environmental conditions. This review presents the state-of-the-art research regarding prediction models for ice accretion on wind turbine components. Furthermore, this review summarizes advanced mitigation solutions, such as cold-weather packages and ice protection systems, designed to address icing issues. The present study identifies critical knowledge gaps in OWT deployment in cold climate regions and proposes future research directions.
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.
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.
Fibrosis is defined as the excessive accumulation and disorganized deposition of extracellular matrix components, affecting any organ in the human body. Fibrotic diseases of the vital organs such as lung, heart, kidney and liver can be chronic, progressive, irreversible and fatal. Although fibrotic diseases account for 45% of the mortality in the Western world, the available treatment options are limited in numbers, efficacy and safety. There is certainly a lack of progress in developing novel anti-fibrotics even though the market size for fibrotic diseases is estimated to be ~$30B and several pharmaceutical companies have active R&D programmes in this field. We reviewed the current efforts in developing novel anti-fibrotic medicines focusing on lung, heart, kidney, liver and skin fibrosis. Our analysis revealed an estimated 83% attrition rate from Phase 2 to Phase 3 trials across the five fibrotic diseases. The possible reasons for the slow pace and high attrition rates in developing new anti-fibrotics are discussed and potential solutions are proposed.
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.