bluuebunny/crossref_metadata_2025 huggingface dataset:
Fates of slurry-nitrogen applied to mountain grasslands: the importance of dinitrogen emissions versus plant N uptake
Authors: Dannenmann Michael , Yankelzon Irina , Wähling Svenja , Ramm Elisabeth , Schreiber Mirella , Ostler Ulrike , Schlingmann Marcus , Stange Claus Florian , Kiese Ralf , Butterbach-Bahl Klaus , Friedl Johannes , Scheer Clemens
Published: May 2024

Intensive fertilization of grasslands with cattle slurry can cause high environmental nitrogen (N) losses in form of ammonia (NH3), nitrous oxide (N2O), and nitrate (NO3−) leaching. Still, knowledge on short-term fertilizer N partitioning between plants and dinitrogen (N2) emissions is lacking. Therefore, we applied highly 15N-enriched cattle slurry (97 kg N ha−1) to pre-alpine grassland field mesocosms. We traced the slurry 15N in the plant-soil system and to denitrification losses (N2, N2O) over 29 days in high temporal resolution. Gaseous ammonia (NH3), N2 as well N2O losses at about 20 kg N ha−1 were observed only within the first 3 days after fertilization and were dominated by NH3. Nitrous oxide emissions (0.1 kg N ha−1) were negligible, while N2 emissions accounted for 3 kg of fertilizer N ha−1. The relatively low denitrification losses can be explained by the rapid plant uptake of fertilizer N, particularly from 0–4 cm depth, with plant N uptake exceeding denitrification N losses by an order of magnitude already after 3 days. After 17 days, total aboveground plant N uptake reached 100 kg N ha−1, with 33% of N derived from the applied N fertilizer. Half of the fertilizer N was found in above and belowground biomass, while at about 25% was recovered in the soil and 25% was lost, mainly in form of gaseous emissions, with minor N leaching. Overall, this study shows that plant N uptake plays a dominant role in controlling denitrification losses at high N application rates in pre-alpine grassland soils.
The added value of simulated near-surface wind speed over the Alps from a km-scale multimodel ensemble
Authors: Molina M. O. , Careto J. M. , Gutiérrez C. , Sánchez E. , Goergen K. , Sobolowski S. , Coppola E. , Pichelli E. , Ban N. , Belus̆ić D. , Short C. , Caillaud C. , Dobler A. , Hodnebrog Ø. , Kartsios S. , Lenderink G. , de Vries H. , Göktürk O. , Milovac J. , Feldmann H. , Truhetz H. , Demory M. E. , Warrach-Sagi K. , Keuler K. , Adinolfi M. , Raffa M. , Tölle M. , Sieck K. , Bastin S. , Soares P. M. M.
Published: May 2024

The advancement of computational resources has allowed researchers to run convection-permitting regional climate model (CPRCM) simulations. A pioneering effort promoting a multimodel ensemble of such simulations is the CORDEX Flagship Pilot Studies (FPS) on “Convective Phenomena over Europe and the Mediterranean” over an extended Alps region. In this study, the Distribution Added Value metric is used to determine the improvement of the representation of all available FPS hindcast simulations for the daily mean near-surface wind speed. The analysis is performed on normalized empirical probability distributions and considers station observation data as the reference. The use of a normalized metric allows for spatial comparison among the different regions (coast and inland), altitudes and seasons. This approach permits a direct assessment of the added value between the CPRCM simulations against their global driving reanalysis (ERA-Interim) and respective coarser resolution regional model counterparts. In general, the results show that CPRCMs add value to their global driving reanalysis or forcing regional model, due to better-resolved topography or through better representation of ocean-land contrasts. However, the nature and magnitude of the improvement in the wind speed representation vary depending on the model, the season, the altitude, or the region. Among seasons, the improvement is usually larger in summer than winter. CPRCMs generally display gains at low and medium-range altitudes. In addition, despite some shortcomings in comparison to ERA-Interim, which can be attributed to the assimilation of wind observations on the coast, the CPRCMs outperform the coarser regional climate models, both along the coast and inland.
Three distinct patterns of mental health response following accidents in mountain sports: a follow-up study of individuals treated at a tertiary trauma center
Authors: Salvotti Hanna Veronika , Tymoszuk Piotr , Ströhle Mathias , Paal Peter , Brugger Hermann , Faulhaber Martin , Kugler Nicola , Beck Thomas , Sperner-Unterweger Barbara , Hüfner Katharina
Published: May 2024

The restorative effect of physical activity in alpine environments on mental and physical health is well recognized. However, a risk of accidents and post-accident mental health problems is inherent to every sport. We aimed to characterize mental health in individuals following mountain sport accidents requiring professional medical management. Adult victims of mountain sport accidents treated at the hospital of the Medical University of Innsbruck (Austria) between 2018 and 2020 completed a cross-sectional survey at least 6 months following the admission (median 44 months, n = 307). Symptoms of post-traumatic stress disorder (PTSD, PCL-5), anxiety, depression, and somatization (PHQ), resilience (RS-13), sense of coherence (SOC-9L), post-traumatic growth (PTGI), and quality of life (EUROHIS-QOL), as well as sociodemographic and clinical information, were obtained from an online survey and extracted from electronic health records. Mental health outcome patterns were investigated by semi-supervised medoid clustering and modeled by machine learning. Symptoms of PTSD were observed in 19% of participants. Three comparably sized subsets of participants were identified: a (1) neutral, (2) post-traumatic growth, and (3) post-traumatic stress cluster. The post-traumatic stress cluster was characterized by high prevalence of symptoms of mental disorders, low resilience, low sense of coherence, and low quality of life as well as by younger age, the highest frequency of pre-existing mental disorders, and persisting physical health consequences of the accident. Individuals in this cluster self-reported a need for psychological or psychiatric support following the accident and more cautious behavior during mountain sports since the accident. Reliability of machine learning-based prediction of the cluster assignment based on 40 variables available during acute medical treatment of accident victims was limited. A subset of individuals show symptoms of mental health disorders including symptoms of PTSD when assessed at least 6 months after mountain sport accident. Since early identification of these vulnerable patients remains challenging, psychoeducational measures for all patients and low-threshold access to mental health support are key for a successful interdisciplinary management of victims of mountain sport accidents.
Meiosis through three centuries
Authors: Jones Gareth , Kleckner Nancy , Zickler Denise
Published: May 2024

Meiosis is the specialized cellular program that underlies gamete formation for sexual reproduction. It is therefore not only interesting but also a fundamentally important subject for investigation. An especially attractive feature of this program is that many of the processes of special interest involve organized chromosomes, thus providing the possibility to see chromosomes "in action". Analysis of meiosis has also proven to be useful in discovering and understanding processes that are universal to all chromosomal programs. Here we provide an overview of the different historical moments when the gap between observation and understanding of mechanisms and/or roles for the new discovered molecules was bridged. This review reflects also the synergy of thinking and discussion among our three laboratories during the past several decades.
Perampanel as monotherapy or first adjunctive therapy in pediatric and adult patients with epilepsy: the first United States-based phase IV open-label ELEVATE study
Authors: Punia Vineet , Klein Pavel , Mihaylova Temenuzhka , Biton Victor , Samad Omar , Ngo Leock Y. , Kumar Dinesh , Malhotra Manoj
Published: May 2024

ELEVATE (Study 410; NCT03288129) is the first prospective, multicenter, open-label, Phase IV study of perampanel as monotherapy or first adjunctive therapy in patients aged ≥ 4 years with focal-onset seizures or generalized tonic–clonic seizures in the United States. The study included Screening, Titration (≤ 13 weeks), Maintenance (39 weeks), and Follow-up (4 weeks) Periods. During Titration, perampanel was initiated at 2 mg/day and up-titrated to 4 mg/day at Week 3. Depending on response and tolerability, optional up-titrations to a maximum of 12 mg/day occurred. The primary endpoint was retention rate; additional endpoints included seizure-freedom rate, 50% responder rate, and incidence of treatment-emergent adverse events (TEAEs). At baseline, 10 (18.5%) patients were assigned to the monotherapy group and 44 (81.5%) patients to the first adjunctive therapy group. However, due to the addition of an anti-seizure medication along with perampanel on the first day of treatment, one patient was excluded from the monotherapy subgroup analyses. The mean perampanel exposure duration was 39.8 weeks and 32 (59.3%) patients completed the study. Retention rate at 12 months (or study completion) was 63.0% (monotherapy, 77.8%; first adjunctive therapy, 59.1%). Seizure-freedom rate during the Maintenance Period was 32.7% (monotherapy, 44.4%; first adjunctive therapy, 29.5%) and the 50% responder rate was 78.7% (monotherapy, 85.7%; first adjunctive therapy, 76.9%). TEAEs and serious TEAEs were reported by 88.9% (n = 48/54) and 7.4% (n = 4/54) of patients, respectively. Overall, the efficacy and safety of perampanel as monotherapy or first adjunctive therapy support the use of perampanel as early-line treatment for epilepsy.
Transient surrogate modeling of modally reduced structures with discontinuous loads and damping
Authors: Franke Markus , Wagner Marcus
Published: May 2024

In this work, a surrogate model for structural, transient and discontinuously excited finite element method simulations is developed. This allows to reduce the computational effort of repeated calculations of identical models under different load cases. The architecture of the surrogate combines fully connected neural network layers with long short-term memory layers. For the reproduction of different damping ratios, a categorical variable is added to the continuous input data. Based on a recursive flow of the predicted data back to the input layer, long-term dependencies do not vanish due to short-input sequences. The system dimension is reduced by applying the model-order reduction technique for modal decomposition. The high accuracy of the surrogate and the reduction of computational costs are shown on an academic example of a cantilever beam and a real-world example of a robot. The advantages of our approach are illustrated in comparison with state-of-the-art surrogates for transient finite element analysis. By using the surrogate proposed in this study, oscillations due to discontinuous excitation of mechanical structures can be reproduced. For this purpose, only short-input sequences are necessary since the excitation of the oscillations does not have to be part of the input sequence during the whole duration of the oscillations. Due to the categorical variable for the damping ratio, the surrogate can account for the influence of different damping in parameter studies.
Implementation of quality indicators for vulvar cancer in gynaecological cancer centres certified by the German Cancer Society (DKG)
Authors: Stuebs Frederik A. , Beckmann Matthias W. , Dannecker Christian , Follmann Markus , Nothacker Monika , Schnürch Hans-Georg , Woelber Linn , Wesselmann Simone
Published: May 2024

Purpose

In 2018, the first guideline-based quality indicators (QI) for vulvar cancer were implemented in the data-sheets of certified gynaecological cancer centres. The certification process includes guideline-based QIs as a fundamental component. These indicators are specifically designed to evaluate the level of care provided within the centres. This article aims to give an overview of the developing process of guideline based-QIs for women with vulvar cancer and presents the QIs results from the certified gynaecological cancer centres.

Methods

The QIs were derived in a standardized multiple step process during the update of the 2015 S2k guideline “Diagnosis, Therapy, and Follow-Up Care of Vulvar Cancer and its Precursors” (registry-number: no. 015/059) and are based on strong recommendations.

Results

In total, there are eight guideline-based QIs for vulvar cancer. Four QIs are part of the certification process. In the treatment year 2021, 2.466 cases of vulvar cancer were treated in 177 centres. The target values in the centres for pathology reports on tumour resection and lymphadenectomy as well as sentinel lymph nodes have increased since the beginning of the certification process and have been above 90% over the past three treatment years (2019–2021).

Discussion

QIs based on strong guideline recommendations, play a crucial role in measuring and allowing to quantify essential aspects of patient care. By utilizing QIs, centres are able to identify areas for process optimization and draw informed conclusions. Over the years the quality of treatment of vulvar cancer patients measured by the QIs was improved. The certification system is continuously reviewed to enhance patient care even further by using the outcomes from QIs revaluation.
Frequency curves of high and low flows in intermittent river basins for hydrological analysis and hydraulic design
Authors: Sarigil Gokhan , Cavus Yonca , Aksoy Hafzullah , Eris Ebru
Published: May 2024

Upper and lower percentiles of Flow Duration Curves (FDCs) of daily streamflow data were investigated to develop frequency curves. Upper percentiles with exceedance probability of 1, 5 and 10% (Q1, Q5, Q10) were used for high flows, and lower percentiles with non-exceedance probability of 10, 5 and 1% (Q90, Q95, Q99) for low flows. Median value (Q50) was covered to represent the average conditions of streamflow. A mixed frequency analysis based on the total probability theorem taking zero values into account was applied for the lower percentiles of FDC. Case studies were performed for three intermittent Streamflow Gauging Stations (SGSs) from Kucuk Menderes River Basin in western Turkey. An overall assessment of results shows that the best-fit probability distribution function does not change from one SGS to another considerably for low flows while each SGS has its own probability distribution function for high flows. Upper and lower percentiles, and median value were calculated at various return periods by using the identified probability distribution functions. The calculated values were plotted in the form of frequency curves of high flow percentiles and low flow percentiles. The frequency curves have a practically significant potential use in hydrological analysis, water resources management and hydraulic design under high and low flow conditions. They are yet open to further development for regionalization and their applicability can be extended to ungauged sites in river basins.
Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction
Authors: Jovanovic Luka , Zivkovic Miodrag , Bacanin Nebojsa , Dobrojevic Milos , Simic Vladimir , Sadasivuni Kishor Kumar , Tirkolaee Erfan Babaee
Published: May 2024

This study explores crop yield forecasting through weight agnostic neural networks (WANN) optimized by a modified metaheuristic. WANNs offer the potential for lighter networks with shared weights, utilizing a two-layer cooperative framework to optimize network architecture and shared weights. The proposed metaheuristic is tested on real-world crop datasets and benchmarked against state-of-the-art algorithms using standard regression metrics. While not claiming WANN as the definitive solution, the model demonstrates significant potential in crop forecasting with lightweight architectures. The optimized WANN models achieve a mean absolute error (MAE) of 0.017698 and an R-squared ($$R^2$$

R
2

) score of 0.886555, indicating promising forecasting performance. Statistical analysis and Simulator for Autonomy and Generality Evaluation (SAGE) validate the improvement significance and feature importance of the proposed approach.
Design of a fully integrated sensor system of a plain bearing
Authors: Paeßens Janek , Kratz Karl-Heinz , Gemmeke Tobias , Kauth Kevin , Baszenski Thao , Lehmann Benjamin , Jacobs Georg
Published: May 2024

Recent years revealed a notable trend for rolling bearings to be increasingly replaced by plain bearings for particular applications. A prominent example is the planetary stage in wind turbine gearboxes. The advantages of plain bearings are higher realizable power density due to smaller installation space compared to rolling bearings as well as the possibility of wear-free operation under ideal operational conditions. In real applications, however, plain bearings are subject to wear, for example due to start-stop processes, which lead to mixed friction conditions. Since the wear of plain bearings strongly depends on the operational conditions, monitoring is essential to detect inadmissible operating conditions. To avoid extra installation space and to achieve a minimal influence on the surrounding system, this work aims to integrate an energy-autarkic sensor system into the bearing volume to monitor the operational status of the plain bearing. To achieve autarky, the resulting data must be transmitted wirelessly and the external power supply must be eliminated. In this work, the software and hardware architecture of a sensor-integrating plain bearing prototype for monitoring the minimum oil gap height and the displacement angle of the shaft based on in-situ temperature measurements is presented. Furthermore, energy harvesting and energy saving measures are implemented and evaluated which intend to enable completely autarkic operation of the sensor integrating machine element in the future. A prototype of the sensor system is in turn used in-the-field to investigate required sampling rates and the spatial resolution of the temperature measurements.
A linear time algorithm for linearizing quadratic and higher-order shortest path problems
Authors: Çela Eranda , Klinz Bettina , Lendl Stefan , Woeginger Gerhard J. , Wulf Lasse
Published: May 2024

An instance of the NP-hard Quadratic Shortest Path Problem (QSPP) is called linearizable iff it is equivalent to an instance of the classic Shortest Path Problem (SPP) on the same input digraph. The linearization problem for the QSPP (LinQSPP) decides whether a given QSPP instance is linearizable and determines the corresponding SPP instance in the positive case. We provide a novel linear time algorithm for the LinQSPP on acyclic digraphs which runs considerably faster than the previously best algorithm. The algorithm is based on a new insight revealing that the linearizability of the QSPP for acyclic digraphs can be seen as a local property. Our approach extends to the more general higher-order shortest path problem.
The relationship between imaging features, therapeutic response, and overall survival in pediatric diffuse intrinsic pontine glioma
Authors: Yu Xiaojun , Lai Mingyao , Li Juan , Wang Lichao , Ye Kunlin , Zhang Dong , Hu Qingjun , Li Shaoqun , Hu Xinpeng , Wang Qiong , Ma Mengjie , Xiao Zeyu , Zhou Jiangfen , Shi Changzheng , Luo Liangping , Cai Linbo
Published: May 2024

We aimed to evaluate the relationship between imaging features, therapeutic responses (comparative cross-product and volumetric measurements), and overall survival (OS) in pediatric diffuse intrinsic pontine glioma (DIPG). A total of 134 patients (≤ 18 years) diagnosed with DIPG were included. Univariate and multivariate analyses were performed to evaluate correlations of clinical and imaging features and therapeutic responses with OS. The correlation between cross-product (CP) and volume thresholds in partial response (PR) was evaluated by linear regression. The log-rank test was used to compare OS patients with discordant therapeutic response classifications and those with concordant classifications. In univariate analysis, characteristics related to worse OS included lower Karnofsky, larger extrapontine extension, ring-enhancement, necrosis, non-PR, and increased ring enhancement post-radiotherapy. In the multivariate analysis, Karnofsky, necrosis, extrapontine extension, and therapeutic response can predict OS. A 25% CP reduction (PR) correlated with a 32% volume reduction (R2 = 0.888). Eight patients had discordant therapeutic response classifications according to CP (25%) and volume (32%). This eight patients’ median survival time was 13.0 months, significantly higher than that in the non-PR group (8.9 months), in which responses were consistently classified as non-PR based on CP (25%) and volume (32%). We identified correlations between imaging features, therapeutic responses, and OS; this information is crucial for future clinical trials. Tumor volume may represent the DIPG growth pattern more accurately than CP measurement and can be used to evaluate therapeutic response.
Learning search algorithm: framework and comprehensive performance for solving optimization problems
Authors: Qu Chiwen , Peng Xiaoning , Zeng Qilan
Published: May 2024

In this study, the Learning Search Algorithm (LSA) is introduced as an innovative optimization algorithm that draws inspiration from swarm intelligence principles and mimics the social learning behavior observed in humans. The LSA algorithm optimizes the search process by integrating historical experience and real-time social information, enabling it to effectively navigate complex problem spaces. By doing so, it enhances its global development capability and provides efficient solutions to challenging optimization tasks. Additionally, the algorithm improves the collective learning capacity by incorporating teaching and active learning behaviors within the population, leading to improved local development capabilities. Furthermore, a dynamic adaptive control factor is utilized to regulate the algorithm’s global exploration and local development abilities. The proposed algorithm is rigorously evaluated using 40 benchmark test functions from IEEE CEC 2014 and CEC 2020, and compared against nine established evolutionary algorithms as well as 11 recently improved algorithms. The experimental results demonstrate the superiority of the LSA algorithm, as it achieves the top rank in the Friedman rank-sum test, highlighting its power and competitiveness. Moreover, the LSA algorithm is successfully applied to solve six real-world engineering problems and 15 UCI datasets of feature selection problems, showcasing its significant advantages and potential for practical applications in engineering problems and feature selection problems.
Balancing the cardinality of clusters with a distance constraint: a fast algorithm
Authors: Calvete Herminia I. , Galé Carmen , Iranzo José A.
Published: May 2024

Logistics companies partition the customers they serve into delivery zones as a tactical decision and manage the customers assigned to each zone as a cluster for the purpose of routing, workload allocation, etc. Frequently, this partition is made in accordance with customers’ geographical location, which can result in very unbalanced clusters in terms of the number of customers they include. In addition, in the day-to-day operations, not necessarily all customers need to be served every day so, even if the clusters originally created are balanced, daily needs may lead to unbalanced clusters. Given an a priori assignment of customers to clusters, improving the balance between clusters in advance of workload management is therefore a key issue. This paper addresses the problem of balancing clusters, when there is a distance constraint that prevents reassigning customers to clusters far away from their original pre-assignment. This problem is formulated as a lexicographic biobjective optimization model. The highest priority objective function minimizes the variance of the number of customers in the clusters. The second ranked objective function minimizes the total distance resulting from all reassignments. A fast and effective heuristic algorithm is developed, based on exploring customer reassignments, either by comparing clusters two by two or by extending the search to allow for sequential customer swaps among clusters. Both the quality of the solution and the computational time required encourage the use of this algorithm by logistics companies to balance clusters in real scenarios.
Investigation of Sidewall and Reynolds Number Effects in a Ribbed Square Duct
Authors: Santese Tiziano , Martinez-Sanchis Daniel , Sternin Andrej , Manfletti Chiara
Published: May 2024

This paper presents a comprehensive three-dimensional Direct Numerical Simulation (DNS) investigation of flow characteristics over a roughened wall in a duct, exploring bulk Reynolds number variations from 4400 to 13,200 and considering the influence of side walls. Notably, a significant increase in friction factor highlights heightened resistance to flow due to surface roughness, emphasizing the importance of considering surface conditions in engineering applications. The study reveals three recirculation zones in the streamwise direction, indicating intricate separation phenomena caused by the interaction between the ribbed wall and the flow. Furthermore, the presence of sidewalls creates two major vortices perpendicular to the flow direction, highlighting the complexity of the vortical structures in this configuration, crucial for predicting flow behavior and optimizing system performance. The study demonstrates that the influence of the Reynolds number on these vortices is not well-scalable with respect to outer units, in contrast with respect to smooth ducts. Investigating side-wall effects, increased turbulent production rate, and non-equilibrium turbulence along the side walls highlight the sensitivity of turbulent stresses to Reynolds number and side-wall proximity. In conclusion, the paper provides novel insights into the interplay between Reynolds numbers, roughened surfaces, and boundary conditions in turbulent flows, laying a foundation for a deeper understanding of the flow in duct with high roughness.
Curcumin’s effects on growth indices, histological scores, blood metabolites, redox state, immunity, and antioxidant-related genes of red tilapia (Oreochromis sp.)
Authors: Eissa El-Sayed Hemdan , Awlya Ohaad F. , Abusudah Wafaa F. , Qadhi Alaa H. , Abd El-Aziz Yasmin M. , Rinthong Prasob-orn , Abdelnour Sameh A. , Munir Mohammad Bodrul , Eissa Moaheda E. H. , Sakr Salah El-Sayed
Published: May 2024

Curcumin, a polyphenol, targets multiple signaling molecules and shows activity at the cellular level, supporting its various health benefits. Thereafter, the present study examines the effects of different doses of dietary curcumin on growth indices, feed efficiency, serum metabolites, redox (oxidation) status, immunity, histological assessment, and antioxidant-related genes in red tilapia (Oreochromis sp, Oreochromis aureus x O. mossambicus). A total of 1200 red tilapia with an average weight of 19.1±0.03 g were distributed in 12 cement ponds (3×3.5×1m). Each treatment was assigned three pounds (n=100 replicates). For 60 days, fish were fed baseline diets containing 0, 0.4, 0.6, and 0.8 g of curcumin/kg of diet. The treated fish showed increased body weight and SGR (specific growth rate) compared to the T0 group (P<0.05). Curcumin in the diet significantly improved weight gain, percentages, and FCR (feed conversion ratio), with a dose-dependent effect (P < 0.05). Curcumin supplementation showed no influence on feed intake, fish mortality, or survival rate (P >0.05). The curcumin-treated fish groups improved tissue structure in hepatocytes, pancreatic lumens, hepatic blood sinusoids, and intestine tissue layers, particularly the mucosal layer. The T0.8 group had reduced liver enzymes (AST and ALT) and greater total protein and albumin levels (P<0.05). The T0.6 and T0.8 groups showed significantly lower MDA levels than the other groups (P < 0.05). Curcumin groups demonstrated significantly higher antioxidant indices (CAT, GPx, and SOD) compared to the basal diet (P<0.05). Curcumin administration resulted in significant improvements in IgM and lysosome levels (P<0.05). All supplemented groups had considerably (P<0.05) higher levels of SOD, CAT, and GPx mRNA than the control group. Consequently, administering 0.6–0.8 g/kg of curcumin to red tilapia (Oreochromis sp.) diets may improve the fish’s growth, health, tissue composition, and antioxidant response.
A hybrid model for post-earthquake performance assessments in challenging contexts
Authors: Kijewski-Correa Tracy , Canales Eric , Hamburger Rachel , Lochhead Meredith , Mbabazi Angelique , Presuma Lamarre
Published: May 2024

Disasters provide an invaluable opportunity to evaluate contemporary design standards and construction practices; these evaluations have historically relied upon experts, which inherently limited the speed, scope and coverage of post-disaster reconnaissance. However, hybrid assessments that localize data collection and engage remote expertise offer a promising alternative, particularly in challenging contexts. This paper describes a multi-phase hybrid assessment conducting rapid assessments with wide coverage followed by detailed assessments of specific building subclasses following the 2021 M7.2 earthquake in Haiti, where security issues limited international participation. The rapid assessment classified and assigned global damage ratings to over 12,500 buildings using over 40 non-expert local data collectors to feed imagery to dozens of remote engineers. A detailed assessment protocol then conducted component-level evaluations of over 200 homes employing enhanced vernacular construction, identified via machine learning from nearly 40,000 acquired images. A second mobile application guided local data collectors through a systematic forensic documentation of 30 of these homes, providing remote engineers with essential implementation details. In total, this hybrid assessment underscored that performance in the 2021 earthquake fundamentally depended upon the type and consistency of the bracing scheme. The developed assessment tools and mobile apps have been shared as a demonstration of how a hybrid approach can be used for rapid and detailed assessments following major earthquakes in challenging contexts. More importantly, the open datasets generated continue to inform efforts to promote greater use of enhanced vernacular architecture as a multi-hazard resilient typology that can deliver life-safety in low-income countries.
Using biophysical modelling and marine connectivity to assess the risk of natural dispersal of non-indigenous species to comply with the Ballast Water Management Convention
Authors: Hansen Flemming Thorbjørn , Pastor Ane , Christensen Asbjørn , Stuer-Lauridsen Frank
Published: May 2024

The introduction of Marine Non-Indigenous Species (NIS) poses a significant threat to global marine biodiversity and ecosystems. To mitigate this risk, the Ballast Water Management Convention (BWMC) was adopted by the UN International Maritime Organisation (IMO), setting strict criteria for discharges of ballast water. However, the BWMC permits exemptions for shipping routes operating within a geographical area, known as a Same-Risk-Area (SRA). An SRA can be established in areas where a risk assessment (RA) can conclude that the spread of NIS via ballast water is low relative to the predicted natural dispersal. Despite the BWMC's requirement for RAs to be based on modelling of the natural dispersal of NIS, no standard procedures have been established. This paper presents a methodology utilizing biophysical modelling and marine connectivity analyses to conduct SRA RA and delineation. Focusing on the Kattegat and Øresund connecting the North Sea and Baltic Sea, we examine two SRA candidates spanning Danish and Swedish waters. We provide an example on how to conduct an RA including an RA summary, and addressing findings, challenges, and prospects. Our study aims to advance the development and adoption of consistent, transparent, and scientifically robust SRA assessments for effective ballast water management.
Limitations of the international approach to anti-corruption: a systematic review of South Africa’s compelling case of failing anti-corruption
Authors: Labik Amanquandor Thomas Duke
Published: May 2024

In the Global South, anti-corruption initiatives continue to fail despite varying commitments to the international anti-corruption agenda. Concurrently, as this study demonstrates, researchers investigating this paradox appear confined within orthodox explanations for failing anti-corruption efforts. Through a systematic review of 58 studies, this paper demonstrates that South Africa’s anti-corruption corpora from 1995 to 2022 fall to this critique. By employing socio-legal theoretical perspectives, the paper elucidates how and why the orthodoxy dominates the corpora and subsequently suggests a more nuanced understanding of the country’s ongoing failure to combat corruption. For example, the paper argues that the intricacies of South Africa’s corruption challenge the perspective that anti-corruption measures fail simply due to widespread rule-breaking. Through the prism of legal pluralism, this paper demonstrates that adherence to rules is indeed prevalent in South Africa, albeit often not aligned with formal state anti-corruption legislation and regulations. Finally, the paper posits innovative approaches to enhance and broaden our comprehension of why anti-corruption efforts fail, especially in the Global South.
Policy impacts in dynamic relation to food, income, learning and security: COVID-19 lockdowns in a Nigerian Agrarian Community
Authors: Awosanmi Grace Oluwakemi , Afolayan Ayodeji Fisayo , Perry Mia , Ajibade George Olusola , Ajayi Sunday Adesola
Published: May 2024

Whose Crisis? The Global COVID-19 pandemic from the perspective of communities in Africa is an international research project that aims to investigate and represent the diverse experiences of the COVID-19 pandemic from those marginalized by mainstream media and policy influence. This article focuses on the multidimensional effects of the generalized lockdown policy in an agrarian community in Nigeria. The project engaged participatory and culturally responsive adaptations of qualitative methods including participatory engagement and individual and group discussions with purposively selected community members. This relational research practice is supported by a Systems Thinking approach to data analysis. In particular, a Causal Loop Diagram (CLD) is used to analyse and visually present the relationships between various elements (variables) of the research context (the system). This study reveals the interrelated effects of the COVID-19 prompted generalised lockdown policies on livelihoods, education, health, and security in rural Nigeria. Although the lockdown policy was intended to curtail the impact of COVID-19, it had severe unintended consequences, exposing weaknesses in the social support system and threatening the foundations of the agrarian community of this study. This article culminates in recommendations for participatory and culturally responsive approaches to future policy formulation.
Probabilistic Performance-based Fire Design of Structures: A Hazard-Centred and Consequence-Oriented Perspective
Authors: Franchini Andrea , Galasso Carmine , Torero Jose L.
Published: May 2024

Risk-based design and assessment methods are gaining popularity in performance-based structural fire engineering. These methods usually start by defining a set of hazard scenarios to use as analysis inputs. This approach, proven highly effective for other hazard types such as earthquakes, may not be optimal for fire safety design. Indeed, the strong coupling between the fire phenomenon and structural features enables an ad-hoc design variable selection (and/or optimisation) to reduce fire intensity, making fire scenarios additional design outputs. In addition, such a coupling effect implies that fire scenarios maximising consequences are structure specific. Building on these considerations, this paper discusses the limitations that arise at different analysis steps (i.e., fire-scenario and intensity treatment, identifying fire intensity measures, probabilistic fire hazard analysis, developing fire fragility models, and risk calculation) when using conventional risk-based approaches for design purposes. Furthermore, it compares such approaches with a fire safety design methodology (the Consequence-oriented Fire intensity Optimisation, CFO, approach) that addresses the identified limitations. The potential benefits of integrating the two approaches are also discussed. Finally, the fire design of a simplified steel-girder bridge is introduced as an illustrative example, comparing the consequence metrics and design updating strategies resulting from the two approaches.
The cyclic flats of a q-matroid
Authors: Alfarano Gianira N. , Byrne Eimear
Published: May 2024

In this paper we develop the theory of cyclic flats of q-matroids. We show that the cyclic flats, together with their ranks, uniquely determine a q-matroid and hence derive a new q-cryptomorphism. We introduce the notion of $$\mathbb {F}_{q^m}$$

F

q
m

-independence of an $$\mathbb {F}_q$$

F
q

-subspace of $$\mathbb {F}_q^n$$

F
q
n

and we show that q-matroids generalize this concept, in the same way that matroids generalize the notion of linear independence of vectors over a given field.
Unveiling nature’s beat: analyzing the acoustics of an aquatic bug in relation to urban sounds
Authors: Farfán-Beltrán Manuel Edday , Cano-Santana Zenón , Córdoba-Aguilar Alex
Published: May 2024

Anthropophony is a prominent component of soundscapes worldwide and is known to impact biota. While responses to anthropophony in terrestrial and marine animals have been relatively well-studied, there is still a lack of knowledge regarding freshwater animals. In fact, freshwater taxa are among the possibly most threatened groups, and unveiling the reasons for their threat is crucial. We investigated the effect of low-frequency sounds -usually associated with anthropophony- on the stridulation of Krizousacorixa femorata, a common water bug in Mexico City. Using aerial recordings, we estimated the Normalized Difference Soundscape Index (NDSI), which is the most commonly used index to measure anthropophony, to characterize soundscapes in six city sites throughout the year. Additionally, from underwater recordings in the same sites, we obtained the peak frequency (Pf) of the stridulations, as it is the frequency with the highest energy and, therefore, the one that can travel the farthest and can be identified even in the presence of overlapping sounds. Finally, we evaluated the relationships between soundscapes and Pf through a mixed linear model. There was a negative correlation between NDSI and Pf, indicating higher-pitched stridulations at sites with dominant anthropophony. While we cannot rule out other factors contributing to stridulation variation, we remain uncertain about how low-frequency sounds impact freshwater ecosystems and the intricate relationship between soundscapes and aquatic life in urban settings.
Effects of Modifiable Activity-Related Health Behaviors on the Sleep-Pain Relationship in Adolescents
Authors: Morales Nuria , Van Dyk Tori R.
Published: May 2024

Poor sleep and chronic pain are commonly related in adolescents. Only 5% of adolescents meet recommendations for physical activity and screen time, both of which impact the experience of sleep and pain disturbances. Research is needed to better understand the sleep-pain relationship in adolescents and to identify potential protective factors, such as activity-related health behaviors. This study examined sleep, behaviors that influence activity (i.e., physical activity, screen time), and their interaction as predictors of pain in a sleep-disordered sample of 105 adolescents aged 12–18 presenting for polysomnography. A hierarchical multiple linear regression was conducted to examine these relationships. Consistent with hypotheses, worse insomnia predicted worse pain. However, other activity-related health behaviors did not influence this relationship, ps > .05. Findings suggest that sleep should be the focus of treatment for adolescents with primary sleep disorders to prevent the onset or exacerbation of pain.
Facing up to Problem Gambling: Tracing the Emergence of Facial Recognition Technology as a means of Enforcing Voluntary Self-Exclusion
Authors: Selwyn Neil , Smith Gavin , Andrejevic Mark , Gu Xin , O’Neill Chris
Published: May 2024

Computer technology has long been touted as a means of increasing the effectiveness of voluntary self-exclusion schemes – especially in terms of relieving gaming venue staff of the task of manually identifying and verifying the status of new customers. This paper reports on the government-led implementation of facial recognition technology as part of an automated self-exclusion program in the city of Adelaide in South Australia—one of the first jurisdiction-wide enforcements of this controversial technology in small venue gambling. Drawing on stakeholder interviews, site visits and documentary analysis over a two year period, the paper contrasts initial claims that facial recognition offered a straightforward and benign improvement to the efficiency of the city’s long-running self-excluded gambler program, with subsequent concerns that the new technology was associated with heightened inconsistencies, inefficiencies and uncertainties. As such, the paper contends that regardless of the enthusiasms of government, tech industry and gaming lobby, facial recognition does not offer a ready ‘technical fix’ to problem gambling. The South Australian case illustrates how this technology does not appear to better address the core issues underpinning problem gambling, and/or substantially improve conditions for problem gamblers to refrain from gambling. As such, it is concluded that the gambling sector needs to pay close attention to the practical outcomes arising from initial cases such as this, and resist industry pressures for the wider replication of this technology in other jurisdictions.
Phytochemical Profiling of Phragmites australis Leaf Extract and Its Nano-Structural Antioxidant, Antimicrobial, and Anticancer Activities
Authors: Unuofin Jeremiah O. , Oladipo Adewale O. , More Garland K. , Adeeyo Adeyemi O. , Mustapha Hassan T. , Msagati Titus A. M. , Lebelo Sogolo L.
Published: May 2024

Freshwater macrophytes have attracted interest as an alternative source of natural extracts and minerals for a variety of therapeutic uses. However, few studies have rigorously investigated the phytochemical components, properties, and potential biological benefits of Phragmites australis as an emergent macrophyte. This study investigates the phytochemical profile of aqueous Phragmites australis (PAE) leaves extract using chromatographic-mass spectrometry and free radical scavenging analysis. LC-QToF-MS/MS analysis in both positive and negative ionization revealed the existence of thirty and eleven bioactive compounds, respectively tentatively identified as alkaloids, flavonoids, indoles, glycosides, and quinolines from the extract. The polyphenolic content of the PAE was found to be 39.17 ± 0.65 mg GAE/g total phenol, while the flavonoids content was 19.85 ± 2.64 mg QE/g, and proanthocyanins content was 119.65 ± 1.70 CE/g. The PAE was utilized to synthesize silver nanoparticles (AgNPs) to evaluate its nano-structural formation efficiency, with the PAE displaying a greater ability to scavenge free radicals against ABTS, DPPH, and FRAP when compared with PA-AgNPs. Both PAE and PA-AgNPs were tested for their antimicrobial and anticancer activities and the results indicated that PA-AgNPs (MIC value range of 7.8–62.5 µg/mL) had excellent antimicrobial activity, compared to PAE. Moreover, the antiproliferative effect of PA-AgNPs on human cancer cells showed a higher cell-specific dose response and two-fold apoptotic induction with increased phosphorylation in the DNA ss-strand break post-treatment in MCF-7 than in A549 cells. These findings reveal the potential of the leaf extract of PA as a potent antioxidant source for many biological applications.
An $$\alpha $$-Robust and Second-Order Accurate Scheme for a Subdiffusion Equation
Authors: Mustapha Kassem , McLean William , Dick Josef
Published: May 2024

We investigate a second-order accurate time-stepping scheme for solving a time-fractional diffusion equation with a Caputo derivative of order $$\alpha \in (0,1)$$

α
∈
(
0
,
1
)

. The basic idea of our scheme is based on local integration followed by linear interpolation. It reduces to the standard Crank–Nicolson scheme in the classical diffusion case, that is, as $$\alpha \rightarrow 1$$

α
→
1

. Using a novel approach, we show that the proposed scheme is $$\alpha $$
α
-robust and second-order accurate in the $$L^2(L^2)$$

L
2

(

L
2

)

-norm, assuming a suitable time-graded mesh. For completeness, we use the Galerkin finite element method for the spatial discretization and discuss the error analysis under reasonable regularity assumptions on the given data. Some numerical results are presented at the end.
Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems
Authors: Kozcuer Cem , Mollen Anne , Bießmann Felix
Published: May 2024

Research on fairness in machine learning (ML) has been largely focusing on individual and group fairness. With the adoption of ML-based technologies as assistive technology in complex societal transformations or crisis situations on a global scale these existing definitions fail to account for algorithmic fairness transnationally. We propose to complement existing perspectives on algorithmic fairness with a notion of transnational algorithmic fairness and take first steps towards an analytical framework. We exemplify the relevance of a transnational fairness assessment in a case study on a disaster response system using images from online social media. In the presented case, ML systems are used as a support tool in categorizing and classifying images from social media after a disaster event as an almost instantly available source of information for coordinating disaster response. We present an empirical analysis assessing the transnational fairness of the application’s outputs-based on national socio-demographic development indicators as potentially discriminatory attributes. In doing so, the paper combines interdisciplinary perspectives from data analytics, ML, digital media studies and media sociology in order to address fairness beyond the technical system. The case study investigated reflects an embedded perspective of peoples’ everyday media use and social media platforms as the producers of sociality and processing data-with relevance far beyond the case of algorithmic fairness in disaster scenarios. Especially in light of the concentration of artificial intelligence (AI) development in the Global North and a perceived hegemonic constellation, we argue that transnational fairness offers a perspective on global injustices in relation to AI development and application that has the potential to substantiate discussions by identifying gaps in data and technology. These analyses ultimately will enable researchers and policy makers to derive actionable insights that could alleviate existing problems with fair use of AI technology and mitigate risks associated with future developments.