Preferred Areas Research Articles

Seasonal distribution pattern and habitat selection of the Balkan chamois on Olympus mountain: Summer heat, hikers, roads

The Balkan chamois (Rupicapra rupicapra balcanica) has a bad conservation status in Greece, and a national action plan will be implemented by the Ministry of Environment. We explored the seasonal distribution pattern and ecological preferences of the species on Mt. Olympus by collecting 1,182 observations of chamois occurrences across four seasonal surveys (2022–2023), and we estimated its population size (2022). The annual range of the species reached 103 km2 (Kernel Density Estimator). We recorded the smallest seasonal range during autumn (rutting season), then in summer, and the largest in winter. The species followed the Mediterranean seasonal range use pattern, implying that summer is the stress period due to drought. The population size was c. 430 individuals, showing an increasing trend, but the fecundity rate was low in 2022. The Ecological Niche Factor Analysis (ENFA) showed that chamois preferred areas near hiking trails throughout the year, likely being habituated with visitors, while avoiding motorized roads, as adopted behaviors of poaching risk minimization. It also favored rocky areas and proximity to escape terrains during spring and winter. This work provides new methodological insights for habitat mapping and escape terrain definition (slope steepness and extent) and supports the suggested measures of the national action plan for implementing a roadless and road control policy, securing water availability in arid mountains, implementing a management plan for tourists, abating poaching and enlarging the hunting banning zone.

When Brands Push Us Away: How Brand Rejection Enhances In-Group Brand Preference

Every interaction between a brand and its consumers can shape their brand attitudes and purchase decisions. Brand rejection is the rejection or neglect that consumers experience when trying to connect with a brand, and it may have far-reaching effects on consumer psychology and behavior. Against this backdrop, consumer response to brand rejection has become a concern in interactive marketing. This study investigated how consumers cope with brand rejection by satisfying their need to reduce uncertainty based on the uncertainty–identity theory. This study examined the effect of brand rejection on consumers’ in-group brands (e.g., local brands) preference and the corresponding mediating mechanism and boundary condition through four experiments. The results demonstrated that consumers who experienced brand rejection were less likely to purchase products from that brand and showed a greater preference for other in-group brands than out-group brands (foreign brands). This relationship was mediated by consumers’ sense of control. Moreover, brand familiarity moderated the relationship between brand rejection and sense of control, affecting consumers’ in-group brand preference. These findings expand the research area of brand rejection and in-group brand preference and provide a practical reference for the development of local brands.

Evaluation of orphan maintained biological medicinal products in the European Union between 2018 to 2023: a regulatory perspective

ABSTRACT Objectives Orphan medicinal products (OMPs) authorized by the European Union (EU) benefit from market exclusivity, fee waivers, and national incentives. Maintaining orphan status during a marketing authorization application requires meeting eligibility criteria, especially demonstrating significant benefit (SB), which is challenging. This study identifies key features linked to successful orphan status maintenance for biological OMPs approved in the EU between 2018 and 2023. Methods Data from European public assessment reports and orphan maintenance assessment reports were analyzed. Results Among the 50 biological OMP maintained orphan designations, 68.0% had to demonstrate SB over existing treatments, with 91.2% leveraging the clinically relevant advantage area, utilizing better clinical efficacy (83.9%) and efficacy in subpopulations (38.7%) subdomains. However, 32.0% did not need to demonstrate SB due to a lack of alternative treatments, most of which were ultra-orphan drugs. Advanced therapy medicinal products and monoclonal antibodies were the most numerous OMP categories, whereas oncology and immunomodulation were the preferred therapeutic areas. Conclusion The Orphan Regulation is essential in advancing treatments for rare diseases, fostering innovation while addressing unmet medical needs. Nonetheless, the insufficient return on investment criterion remains underused, whereas refining major contribution to patient care guidelines and incorporating real-world evidence may enhance regulatory evaluations.

Numerical study on aerodynamics of small scale horizontal axis wind turbine with Weibull analysis.

This paper presents a computational fluid dynamics (CFD) analysis and blade element momentum (BEM) analysis of horizontal small-scale wind turbines under various parameters. Random airfoils such as the NACA 0012, NACA 0018, NACA 4412, S1016, S1210, S1223, and SC20402 are chosen, and the glide ratio is analysed. A Reynolds number of 100,000 is considered because of the small wind turbine design. The foil with the highest glide ratio is selected. Various notations are used to represent the chord and the twist angle of the blade, and the blade with the best chord and twist angle is chosen. The lift, drag, and power coefficients and power curves are analysed via the BEM. The power curves are evaluated for different air densities, and a higher value of power is obtained. Finally, via CFD, the SST model for turbulence is analysed for various angles of attack via Ansys Fluent for different air densities. The results are satisfactory compared with those of the CFD and BEM analyses. The Weibull distribution is analysed to understand the required frequencies for various wind speeds so that the installation of wind turbines can be made convenient in preferred areas with suitable wind properties.

Academic and Employment Preferences of Nursing Students at the University of Las Palmas of Gran Canaria: A Cross-Sectional Study.

It is well known that there are differences in the academic and employment preferences of nursing students once they have completed their undergraduate studies in nursing. These preferences are largely influenced by students' affinity for certain thematic areas over others. Therefore, the objective of this study was to identify the employment and academic preferences of third- and fourth-year Nursing Degree students at the University of Las Palmas de Gran Canaria (ULPGC). A cross-sectional, descriptive observational study was conducted among nursing students across three campuses of the ULPGC (Canary Islands, Spain). An online questionnaire was used to collect various sociodemographic and academic variables, as well as preferences across ten thematic areas. Descriptive and bivariate inferential analyses were performed, along with a correlation analysis among the areas. The areas of highest preference were "Emergency Nursing", "General Nursing", and "Family and Community Nursing". The areas of lowest preference were "Other Areas (teaching, management, research)", "Mental Health and Psychiatric Nursing", and "Geriatric Nursing". Three clusters of closely correlated areas were identified: cluster 1 (Intensive and Critical Care Nursing, Emergency and Emergency Nursing and Operating Theatre and Anaesthesia Nursing), cluster 2 (Obstetric-Gynaecological Nursing-Midwifery, Paediatric Nursing and Mental Health and Psychiatric Nursing) and cluster 3 (remaining areas). A significant proportion of students expressed intentions to pursue postgraduate studies. Strategies should be implemented to enhance students' preferences in the areas of "Mental Health and Psychiatric Nursing" and "Geriatric Nursing", which are areas where there is a high demand for nurses. It is also necessary to increase their interest in research, management, and teaching. This study was not registered.

Variation in habitat selection among individuals differs by maternal status for moose in a region with low calf survival

AbstractForaging behaviors often involve trade‐offs between predation risk and access to forage. Risk‐forage trade‐offs may be particularly acute for maternal female ungulates, whose nutritional needs are high and whose calves are highly vulnerable to predation. In moose, the selection of calving habitat is one way in which females can respond to these trade‐offs. Our objective was to compare among‐individual variation in selected habitat for maternal and nonmaternal female moose during the calving season. We hypothesized that, compared to nonmaternal females, maternal females would exhibit a greater range of variation among individuals, which may signal differential responses to risk‐forage trade‐offs. Meanwhile, we expected nonmaternal females to show comparatively less variation among individuals, consistent with a group primarily maximizing forage intake. To test our hypotheses, we used a path selection framework and a set of continuous remotely sensed map covariates to build predictive models and corresponding spatial predictions for maternal and nonmaternal groups. We then calculated the range of variation among individuals within each group along a relative unitless axis, which we call the “maternal difference index” and define as the divergence of predicted maternal habitat selection from nonmaternal habitat selection. We included 10,080 GPS collar locations for 24 female moose over three consecutive years. Our predictive models had high levels of accuracy (>75%) based both on independent test partitions of a nested cross‐validation and on independent very high frequency (VHF) location data, each including spatial and temporal replication. Both groups of females preferred areas where primary forage species were abundant, diverse, and within foraging height. Habitat selected by the maternal group both overlapped and was broader than habitat selected by the nonmaternal group. Based on the maternal difference index, maternal individuals were less consistent in their habitat selection than nonmaternal individuals. Given that habitat selection behaviors are one way in which animals respond to potential risk‐forage trade‐offs and that maternal individuals in our study differed along a continuum in their selection for primary forage species, we suggest that the concept of maternal trade‐offs, as it relates to habitat selection, is most useful when seen as individually determined and variable, rather than group‐determined and discrete.

Three-dimensional vegetation structure drives patterns of seed dispersal by African hornbills.

Three-dimensional (3D) vegetation structure influences animal movements and, consequently, ecosystem functions. Animals disperse the seeds of 60%-90% of trees in tropical rainforests, which are among the most structurally complex ecosystems on Earth. Here, we investigated how 3D rainforest structure influences the movements of large, frugivorous birds and resulting spatial patterns of seed dispersal. We GPS-tracked white-thighed (Bycanistes albotibialis) and black-casqued hornbills (Ceratogymna atrata) in a study area surveyed by light detection and ranging (LiDAR) in southern Cameroon. We found that both species preferred areas of greater canopy height and white-thighed hornbill preferred areas of greater vertical complexity. In addition, 33% of the hornbills preferred areas close to canopy gaps, while 16.7% and 27.8% avoided large and small gaps, respectively. White-thighed hornbills avoided swamp habitats, while black-casqued increased their preference for swamps during the hottest temperatures. We mapped spatial probabilities of seed dispersal by hornbills, showing that 3D structural attributes shape this ecological process by influencing hornbill behaviour. These results provide evidence of a possible feedback loop between rainforest vegetation structure and seed dispersal by animals. Interactions between seed dispersers and vegetation structure described here are essential for understanding ecosystem functions in tropical rainforests and critical for predicting how rainforests respond to anthropogenic impacts.

Intensity- and time-based strategies for micro/nano-sizing via single-particle ICP-mass spectrometry: A comparative assessment using Au and SiO2 as model particles

BackgroundSingle-particle ICP-mass spectrometry (SP-ICP-MS) is a powerful method for micro/nano-particle (MNP) sizing. Despite the outstanding evolution of the technique in the last decade, most studies still rely on traditional approaches based on (1) the use of integrated intensity as the analytical signal and (2) the calculation of the transport efficiency (TE). However, the increasing availability of MNP standards and advancements in hardware and software have unveiled new venues for MNP sizing, including TE-independent and time-based approaches. This work systematically examines these different methodologies to identify and summarize their strengths and weaknesses, thus helping to determine their preferred application areas. ResultsDifferent SP-ICP-MS methods for MNP sizing were assessed using AuNPs (20–70 nm) and SiO2MNPs (100–1000 nm). Among TE-dependent approaches, the particle frequency method was characterized by larger uncertainties than the particle size method. The results of the latter were dependent on the appropriate selection of the reference MNP, making the use of multiple reference MNPs recommended. TE-independent methods were based on external (linear and polynomial) calibrations and a relative approach. These methods exhibited the lowest uncertainties of all the strategies evaluated. External calibrations benefited from simpler calculations, but their application could be hindered by a lack of reference MNPs within the desired size range or by the need for interpolations outside the calibration range. Finally, transit time signals are directly proportional to the MNP size rather than its mass. The time-based method demonstrated adequate performance for sizing AuNPs but failed when sizing the largest SiO2MNPs (1000 nm). Significance and noveltyThis work provides further insights into the application of different SP-ICP-MS methodologies for MNP sizing. Both TE-independent approaches and the monitoring of the transit time as the analytical signal are underused strategies; in this context, a Python script was developed for accurate transit time measurement. After 20 years of development, a quantitative comparison of the different methodologies, including the most novel approaches, is deemed necessary for further growth on solid theoretical ground.

Understanding the effect of alkyl chain on extraction of Np4+ and Pu4+ with hexaalkyl nitrilotriacetamides into an ionic liquid vis-à-vis a molecular solvent

Extraction of actinides using exotic ligands in room temperature ionic liquids is one of the most preferred areas of research these days. Though the amides are well studied for the extraction of actinides from nitric acid feeds, multiple amides (such as tripodal amides) are of recent origin, and reports on solvent extraction with these ligands in room temperature ionic liquids are very rare. In this work, the extraction of Np4+ and Pu4+ was studied with a series of N,N,N′,N′,N″,N″-hexaalkyl nitrilotriacetamides (NTAamides) in an ionic liquid with an objective to understand the effect of the alkyl chains length on their extraction ability. Bumim⋅Tf2N was chosen as ionic liquid due to its favourable viscosity for distribution studies. The extraction of tetravalent actinides Np4+ and Pu4+ increased linearly with increasing the alkyl chain of the NTAamides from n-butyl via n-hexyl to n-octyl. The extraction pattern was surprisingly opposite to the most observed extraction patterns in an ionic liquid, where the extraction generally decreases sharply upon increasing the feed acidity. The extracted species were ascertained as M(NO3)5⋅L (LH), where M = Np4+ or Pu4+, for each ligand. Consequent to the formation of an entirely divergent extracted complex, the extraction pattern is completely different than that expected in an ionic liquid.

Requirement Analysis of Different Variants of a Measurement and Training Station for Older Adults at Risk of Malnutrition and Reduced Mobility: Focus Group Study.

Demographic change is leading to an increasing proportion of older people in the German population and requires new approaches for prevention and rehabilitation to promote the independence and health of older people. Technical assistance systems can offer a promising solution for the early detection of nutritional and physical deficits and the initiation of appropriate interventions. Such a system should combine different components, such as devices for assessing physical and nutritional status, educational elements on these topics, and training and feedback options. The concept is that the whole system can be used independently by older adults (aged ≥70 years) for monitoring and early detection of problems in nutrition or physical function, as well as providing opportunities for intervention. This study aims to develop technical and digital elements for a measurement and training station (MuTs) with an associated app. Through focus group discussions, target group requirements, barriers, and favorable components for such a system were identified. Older adults (aged ≥70 years) were recruited from a community-based setting as well as from a geriatric rehabilitation center. Focus group interviews were conducted between August and November 2022. Following a semistructured interview guideline, attitudes, requirements, preferences, and barriers for the MuTs were discussed. Discussions were stimulated by videos, demonstrations of measuring devices, and participants' ratings of the content presented using rankings. After conducting 1 focus group in the rehabilitation center and 2 in the community, the interview guide was refined, making a more detailed discussion of identified elements and aspects possible. The interviews were recorded, transcribed verbatim, and analyzed using content analysis. A total of 21 older adults (female participants: n=11, 52%; mean age 78.5, SD 4.6 years) participated in 5 focus group discussions. There was a strong interest in the independent measurement of health parameters, such as pulse and hand grip strength, especially among people with health problems who would welcome feedback on their health development. Participants emphasized the importance of personal guidance and interaction before using the device, as well as the need for feedback mechanisms and personalized training for everyday use. Balance and coordination were mentioned as preferred training areas in a MuTs. New training options that motivate and invite people to participate could increase willingness to use the MuTs. The target group is generally open and interested in tracking and optimizing diet and physical activity. A general willingness to use a MuTs independently was identified, as well as a compelling need for guidance and feedback on measurement and training to be part of the station.

Government spending efficiency, fiscal decentralization and regional innovation capability: Evidence from China

Improving regional innovation is the key to achieving high-quality development, and regional innovation requires government support. However, a notable research gap exists in studies examining the relationship between government spending efficiency and regional innovation. Based on the panel data of 30 provinces in China from 2000 to 2021, this study verifies the positive impact of government spending efficiency on regional innovation capacity and its mechanism. Notably, the Consumer Price Index has been selected as an instrumental variable through a rigorous theoretical analysis to address the potential endogeneity and ensure the robustness of the findings. The findings also suggest that government spending efficiency can do better in promoting regional innovation capability in higher-investment preference areas, less financial development level regions. Further analysis reveals that human capital and advanced industrial structure play a great channel effect, while fiscal decentralization positively moderates the relationship between government spending efficiency and regional innovation capability. This study deepens our understanding of the impact of fiscal policy on local innovation development from different perspectives. Furthermore, it provides a reference to developing countries on the importance of local government in optimizing regional innovation.

Mapping Localization Preferences for Residential Buildings

In this study, we tried to gauge the trends of localization preferences for residential buildings among young adults. The pragmatic dimension of these studies is important in the process of real estate investment, where a location can be expressed using indicators and statistical data and then, using maps, indicate preferred areas for living in a small town. The aim of our research was to examine and visualize the preferences of young people for living locations in relation to access to services. We conducted an online survey using a Likert scale to determine which services and amenities are most important for young residents. Using multi-criteria evaluation (MCE) methods and their formulas, we calculated the attractiveness coefficient of the location of residential buildings, which we propose to call the RBLAF (Residential Building’s Localization Attractiveness Factor). The results of this research are maps: qualitative–quantitative with point symbols for the structure of services and quantitative isochromatics showing the preferences of potential future investors in real estate.

Hybrid clinical-radiomics model based on fully automatic segmentation for predicting the early expansion of spontaneous intracerebral hemorrhage: A multi-center study

BackgroundEarly prediction of hematoma expansion (HE) is important for the development of therapeutic strategies for spontaneous intracerebral hemorrhage (sICH). Radiomics can help to predict early hematoma expansion in intracerebral hemorrhage. However, complex image processing procedures, especially hematoma segmentation, are time-consuming and dependent on assessor experience. We provide a fully automated hematoma segmentation method, and construct a hybrid predictive model for risk stratification of hematoma expansion. PurposeTo propose an automatic approach for predicting early hemorrhage expansion after spontaneous intracerebral hemorrhage using deep-learning and radiomics methods. MethodsA total of 258 patients with sICH were retrospectively enrolled for model construction and internal validation, while another two cohorts (n=87, 149) were employed for independent validation. For hemorrhage segmentation, an iterative segmentation procedure was performed to delineate the area using an nnU-Net framework. Radiomics models of intra-hemorrhage and multiscale peri-hemorrhage were established and evaluated, and the best discriminative-scale peri-hemorrhage radiomics model was selected for further analysis. Combining clinical factors and intra- and peri-hemorrhage radiomics signatures, a hybrid nomogram was constructed for the early HE prediction using multivariate logistic regression. For model validation, the receiver operating characteristic (ROC) curve analyses and DeLong test were used to evaluate the performances of the constructed models, and the calibration curve and decision curve analysis were performed for clinical application. ResultsOur iterative auto-segmentation model showed satisfactory results for hematoma segmentation in all four cohorts. The Dice similarity coefficient of this hematoma segmentation model reached 0.90, showing an expert-level accuracy in hematoma segmentation. The consumed time of the efficient delineation was significantly decreased, from 18 min to less than 2 min, with the assistance of the auto-segmentation model. The radiomics model of 2-mm peri-hemorrhage had a preferable area under ROC curve (AUC) of 0.840 (95 % confidence interval [CI]: 0.768, 0.912) compared with the original (0-mm dilatation) model with an AUC of 0.796 (95 % CI: 0.717, 0.875). The clinical–radiomics hybrid model showed better performances for HE prediction, with AUC of 0.853, 0.852, 0.772, and 0.818 in the training, internal validation, and independent validation cohorts 1 and 2, respectively. ConclusionsThe fully automatic clinical–radiomics model based on deep learning and radiomics exhibits a good ability for hematoma segmentation and a favorable performance in stratifying HE risks.

Ecosystem services in mountain pastures: A complex network of site conditions, climate and management

Mountain pastures offer a multitude of ecosystem services (ES) such as fodder for ruminants, habitat for pollinators, climate change mitigation, aesthetic landscape for recreation, and biodiversity conservation. We aimed at analysing to which extend these ES are influenced by small-scale gradients of climate, site conditions and management – and to disentangle relationships among ES and the factors influencing them. Therefore, we quantified ES on six mountain summer farms in two contrasting regions in Switzerland: the Northern Alpine Foothills (lower elevation, higher precipitation, calcareous bedrock) and the Eastern Central Alps (higher elevation, lower precipitation, silicious bedrock). We measured six ES indicators (forage quantity, forage quality, carbon storage, colour abundance, resources for pollinators, plant diversity) and related them to explanatory factors of climate (temperature and precipitation), site conditions (soil fertility, soil acidity, terrain slope) and management (local grazing intensity, remoteness) in 66 study plots, i.e., 11 per farm. A holistic picture of the complex relationships among these factors was drawn by various statistical approaches: allometric line fitting, variance partitioning, and structural equations modelling. We found a huge heterogeneity of ES indicators and explanatory factors on each farm: the variability within farms was even higher than between regions. Variance partitioning and structural equations modelling demonstrated strongest influence of climate and site conditions and revealed trade-offs among ES indicators: High forage quantity and quality were associated with low plant diversity and grassland aesthetics, whereas diversity, aesthetics and pollinator resources were positively correlated with each other. ES indicators were explained by a range of climatic and topographic factors: High precipitation reduced plant diversity, whereas temperature increased forage quantity and quality; slope reduced soil fertility, forage quantity, forage quality and carbon storage; soil fertility in turn increased forage quantity; the farther away a pasture was from the main farm building, the lower was the forage quantity and the higher the plant diversity. Although allometric relations among local grazing intensity and ES indicators were strong, the direct influence of the management factors measured on ES was surprisingly small: Cattle preferred areas of high forage quantity and quality, and carbon storage was higher in these areas. On the other hand, places less visited by cattle offered more pollinator resources, and showed higher aesthetics and plant diversity. Trade-offs among ES prevent the realisation of all ES at the same place, but heterogeneity of mountain pastures allows to realise a broad bundle of contrasting ES on each individual summer farm.

Resource Availability and Use in Restored, Unmanaged, and Aquaculture Mangrove Ecosystems in Indonesia

Mangrove ecosystems are some of the most productive on our planet but have declined globally by 30–50%. Many species rely on mangrove habitats; thus, their conversion to aquaculture farms has led to noticeable losses in commodities such as wild fish stocks. This study aimed to assess the influence of aquaculture and restoration projects on the ecosystem’s ability to provide resources. We collected data on mangrove vegetation (i.e., biomass, richness, and abundance), soil nutrients (i.e., organic carbon, aluminium, and nitrogen), crab abundance, and fishing pressure at six sites. We set up 15 plots at each site and collected data between May and July 2023. Via generalised linear mixed models, we found that the abundance and richness of crabs was significantly higher in aquaculture plots than in non-aquaculture plots. Aquaculture plots had higher topsoil aluminium, higher topsoil and subsoil nitrogen, and lower topsoil carbon than non-aquaculture sites. Restored sites had less nitrogen in the topsoil than unmanaged sites. The biomass did not change between aquaculture, restored, and unmanaged plots. We found a negative correlation between crab abundance and richness and mangrove diameter at breast height (DBH), suggesting that the species of crabs present preferred areas with propagules for feeding (e.g., Grapsidae crabs). The content of nitrogen in the subsoil was positively correlated with mangrove richness, diversity, and height, suggesting the importance of nitrogen availability for mangrove growth. The content of aluminium in the subsoil was negatively correlated with the content of organic carbon in both the topsoil and subsoil, suggesting the detrimental effect of aluminium on the carbon cycle. Fishing practices were observed at all sites during the data collection period. Despite the lack of significant impact on most vegetation parameters and the limited differences between managed and unmanaged sites, key variables such as soil aluminium, carbon, and nitrogen contents and crab assemblages exhibited high variability, highlighting the complex interactions within mangrove ecosystems.

Application of gas sensor technology to locate victims in mass disasters – a review

AbstractThe occurrence of mass disasters are increasing as a result of changing climates and the growing threat of terrorist activities/conflicts. When these tragedies strike, it is critical to locate victims. While search and rescue dogs are trained to locate the living, cadaver detection dogs are trained to locate the deceased. These dogs rely on the volatile organic compounds (VOCs) emitted from the victims to do so. Knowing which dog unit to deploy can be challenging, and the victims’ makeup is likely to change following disasters in densely inhabited places, where commingling is likely to occur. The use of electronic nose technologies in forensic science is a recent breakthrough. Due to their ability to detect differing VOCs, this technology can be used to assist in the recovery of victims in disaster events. The most popular types of accessible gas sensor technologies are briefly introduced and compared in this article for their potential use to locate missing persons, both living and deceased. The current and future market needs are articulated, and the lack of enrichment of these needs is examined in relation to the capabilities of existing gas sensors. This will inform further research areas of preference to increase victim detection capabilities.

Actividad repelente e insecticida de cuatro aceites esenciales de plantas recolectadas en Chocó-Colombia contra Tribolium castaneum

This study aimed to determine the repellent and insecticidal activity of four essential oils (EOs) from plants collected in the Chocó rain forest, Colombia, against T. castaneum. Conventional hydrodistillation was used to obtain the EOs. The repellent and insecticidal activities were evaluated by the preference area and gas dispersion methods, respectively. Statistical differences (p<0.05) were determined by applying a student’s t-test. EOs of Siparuna guianensis, S. conica, Piper marginatum, and Nectandra acutifoliashowed excellent repellent properties as the main findings, highlighting S. conicaEO with 84% repellency (1μL/cm2), while P. marginatumshowed to be bioactive to the dose of 500 μL/mL (72 h), inducing mortality of 100% of the exposed population. In conclusion, the results evidenced the repellent properties of the EOs evaluated against T. castaneum, which allows us to conclude that these plant species are potential natural sources producing bio-repellents that contribute to the integrated control of T. castaneum.

Method for selecting emergency material reserve bases in chemical industry parks under typhoon scenarios

Rationally selecting emergency material reserve bases (EMSBs) for chemical industry parks is crucial to ensure timely emergency responses during major accidents. To identify practical site selection schemes for EMSBs under typhoon scenarios, a prioritization/sorting site selection model considering typhoon disasters for EMSBs is developed. Firstly, an improved k-means clustering algorithm is employed to cluster typhoon paths and classify them into several critical typhoon scenarios, which are used to assess the risk of typhoon disasters affecting chemical industrial parks in specific areas. Then, according to the region's functional characteristics of EMSBs, candidate areas with emergency capabilities are identified through kernel density analysis, and safe candidate areas are further determined based on the identified typhoon scenarios. Finally, the safe candidate areas are ranked based on emergency path distances, and the preferred site selection areas are ultimately obtained through administrative planning analysis of the top-ranked areas. Furthermore, a case study is conducted based on data from Zhejiang Province, verifying the effectiveness of the decision-making method.

The spatial mismatch between foreign direct investment and street networks: Evidence from Hanoi, Vietnam

This research investigates the spatial mismatch between the distribution of Foreign Direct Investment (FDI) and the configurational characteristics of street networks in Hanoi's urban districts. Two indicators are employed to represent the connectivity of street networks generated by space syntax methodology, global integration for vehicular movements and local integration for pedestrian traffic. Findings reveal that FDI clusters have preferred areas highly connected by arterial roads, including traditional commercial centres and new suburban locations, confirming that FDI is spatially matched with vehicle-oriented street networks. However, the major FDI clusters have been established without tight connections to street networks for pedestrians. The findings shed light on the new spatiality of global capital accumulation that expedites an unsustainable, vehicle-oriented urban structure.

Light-averse behaviour of attic-dwelling bats when commuting through urban areas

Light pollution is spreading around the world, causing a variety of problems, particularly for nocturnal animals such as bats. As urban areas expand, attic-dwelling bats face the problem of being exposed to more and more artificial light as they move to their dark foraging areas. Avoiding street lights could force bats to make energetically costly detours, which could eventually lead to the collapse of urban colonies. We therefore investigated the response of attic-dwelling bats to street lighting, using the brown long-eared bat (Plecotus auritus) as an example. Using radio-tracking, we followed 17 bats during their commutes through two urban areas: a small town and a village in rural Germany. After a conservative filtering process to ensure a high spatial accuracy of the tracking data, we analysed the data of nine bats in detail, using a use-versus-availability approach for the small town and a descriptive approach for the smaller dataset obtained from the village. The best-fitting model confirmed that the bats responded to artificial light at night. Close to the roost (∼10 m), bats preferred areas with low light intensities, but seemed to tolerate some light levels. We speculate that this pattern was caused by bats being forced to leave the roost into an illuminated area. At medium distances from roosts (∼400 m), most bats avoided street lights. In fact, all bats avoided being in close proximity to street lights, even when the lanterns produced only low levels of light. We conclude that brown long-eared bats avoid street lights when moving through urban areas. We recommend the establishment of dark corridors in urban areas to support high bat diversity, including all species along the continuum of light-opportunistic and light-sensitive species.