bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Land Use Change on Avian Diversity in the Semi-Arid Area of Longxi Loess Plateau
Authors: Mao Ruirui , Zhang Dexi , Zhou Qian , Wang Yizhu , Zhang Lixun
Published: April 2024

Biodiversity is under threat due to human-induced changes in land use. While various aspects of biodiversity are increasingly studied in response to these changes, there is limited understanding of their effects on the structure and composition of bird communities in dryland regions. We examined the impacts of land use change on birds in the semi-arid area of the Longxi Loess Plateau by considering taxonomic diversity, functional diversity, and phylogenetic diversity. We analyzed both the α- and β-diversity of avian communities across different dimensions of diversity and calculated functional and phylogenetic structures using the net relatedness index. Our findings revealed that species richness was highest in farmland and abandoned farmland, while artificial mixed forests exhibited the highest number of unique species. Functional and phylogenetic α-diversity was greater in farmland and abandoned farmland when compared to the other four land use types. Moreover, the taxonomic diversity in artificial mixed forests, artificial Caragana korshinskii forests, and artificial Platycladus orientalis forests surpassed that in typical grasslands, but no differences were observed in functional and phylogenetic diversity. Regarding β-diversity, turnover patterns dominated multidimensional dissimilarity, with taxonomic turnover and total dissimilarity lower than their functional counterparts but higher than phylogenetic counterparts. Based on the present findings, we emphasize the long-term cessation of ongoing silvicultural initiatives to safeguard bird diversity in the semi-arid region of the Longxi Loess Plateau. This is crucial for narrowly distributed species such as Alectoris magna, as they face heightened vulnerability to losses.
The Role of MRI in Groin Pain Syndrome in Athletes
Authors: Bisciotti Gian Nicola , Di Pietto Francesco , Rusconi Giovanni , Bisciotti Andrea , Auci Alessio , Zappia Marcello , Romano Stefania
Published: April 2024

Groin pain syndrome (GPS) is one of the most frequent injuries in competitive sports. Stresses generated in the lower limbs by quick turns and accelerations, such as in soccer, basketball or hockey, can produce localized regions of increased forces, resulting in anatomical lesions. The differential diagnoses are numerous and comprise articular, extra-articular, muscular, tendinous and visceral clinical conditions and a correct diagnosis is crucial if treatment is to be efficient. MRI is the gold standard of diagnostic techniques, especially when an alternative pathology needs to be excluded and/or other imaging techniques such as ultrasound or radiography do not lead to a diagnosis. This paper, based on the current literature, gives a comprehensive review of the anatomy of the pubic region and of the typical MRI findings in those affected by GPS. Many clinical conditions causing GPS can be investigated by MRI within appropriate protocols. However, MRI shows limits in reliability in the investigation of inguinal and femoral hernias and therefore is not the imaging technique of choice for studying these clinical conditions.
Advancing Drone Operations through Lightweight Blockchain and Fog Computing Integration: A Systematic Review
Authors: Aldossri Rawabi , Aljughaiman Ahmed , Albuali Abdullah
Published: April 2024

This paper presents a systematic literature review investigating the integration of lightweight blockchain and fog computing technologies to enhance the security and operational efficiency of drones. With a focus on critical applications such as military surveillance and emergency response, this review examines how the combination of blockchain’s secure, decentralized ledger and fog computing’s low-latency, localized data processing can address the unique challenges of drone operations. By compiling and analyzing current research, this study highlights innovative approaches and solutions that leverage these technologies to improve data integrity, reduce communication latency, and facilitate real-time decision-making in drone missions. Our findings underscore the significant potential of this technological integration to advance the capabilities and reliability of drones in high-stakes scenarios.
Soil Bacterial and Archaeal Communities of the Periodic Flooding Zone of Three Main Reservoirs in the South Ural Region (Russia)
Authors: Minnegaliev Aleksandr , Abakumov Evgeny , Suleymanov Ruslan , Zaitsev Gleb , Davydychev Alexandr , Dorogaya Ekaterina , Zverev Aleksei , Andronov Evgeny , Asylbaev Ilgiz
Published: April 2024

Studying the soils in the periodical flood zone of three reservoirs is of promising importance for their subsequent return to economic activities. Research on the bacterial and archaeal communities of soils that are periodically or continuously flooded by reservoirs is still insufficient. To evaluate the chemical status of soils and their microbiota, the study was conducted in the Yumaguzino, Nugush, and Slak reservoir sites in the South Ural area (Russian Federation). The bacterial and archaeal communities of periodically flooded and non-flooded soils were investigated after a comparative investigation of chemical, hydrological, and climatic factors. It was discovered that flooded soils had anoxic conditions during the whole of the year, with brief drying intervals of limited length and low levels of effective temperatures. In terms of chemistry, flooded soils are distinguished by increased acidity, a fall in organic matter, and an increase in alkali-hydrolysable nitrogen. Compared to their counterparts in non-flooded soils, bacterial and archaeal communities in flooded soils are significantly different. Generally speaking, the biodiversity of flooded soils rises with the duration and depth of floods. Significant variations at the phylum level are mostly caused by a decline in the relative presence of Thaumarchaeota and an increase in Proteobacteria and Chloroflexi representation. It was discovered that the Euryarchaeota phylum was either absent or had a significantly decreased relative prevalence at the sites of intermittently flooding soils.
A Pretest Estimator for the Two-Way Error Component Model
Authors: Baltagi Badi H. , Bresson Georges , Etienne Jean-Michel
Published: April 2024

For a panel data linear regression model with both individual and time effects, empirical studies select the two-way random-effects (TWRE) estimator if the Hausman test based on the contrast between the two-way fixed-effects (TWFE) estimator and the TWRE estimator is not rejected. Alternatively, they select the TWFE estimator in cases where this Hausman test rejects the null hypothesis. Not all the regressors may be correlated with these individual and time effects. The one-way Hausman-Taylor model has been generalized to the two-way error component model and allow some but not all regressors to be correlated with these individual and time effects. This paper proposes a pretest estimator for this two-way error component panel data regression model based on two Hausman tests. The first Hausman test is based upon the contrast between the TWFE and the TWRE estimators. The second Hausman test is based on the contrast between the two-way Hausman and Taylor (TWHT) estimator and the TWFE estimator. The Monte Carlo results show that this pretest estimator is always second best in MSE performance compared to the efficient estimator, whether the model is random-effects, fixed-effects or Hausman and Taylor. This paper generalizes the one-way pretest estimator to the two-way error component model.
Identifying Determinants of Food Security Using Panel Data Analysis: Evidence from Maghreb Countries
Authors: Mohamed Guerrache , Chiad Fayçal , Abdesslam Menacer , Omar Belkacem , AL-Absy Mujeeb Saif Mohsen
Published: April 2024

Countries and international bodies are focusing on agriculture as a route to achieving sustainable food security. Hence, the aim of this study is to examine the determinants of food security. It investigates the effects of gross domestic product deflator (GDPD), rural population, arable area, agricultural workers, farmers, agricultural exports, and agricultural imports on agricultural performance, which is a metric of food security. This study uses time lapse data models of a sample from the group of Maghreb states, namely Libya, Tunisia, Algeria, Morocco, and Mauritania, for the 2003–2018 period. All these data were collected from the statistical reports of the Arab Organization for Agricultural Development. The results provide evidence of the significant positive impacts of gross domestic product, arable areas, and agricultural exports on the agricultural sector’s performance, which results in achieving food security. However, the results indicate that the rural population and the number of workers in the agricultural sector have a significantly negative relationship with agricultural sector performance. In terms of agricultural imports, the results do not show a relationship between agricultural imports and agricultural sector performance. To the best of the researchers’ knowledge, this is the first study conducted in the Maghreb states, including five countries. This study alerts policymakers to issues regarding the importance of having effective policies that could enhance the performance of agricultural production to achieve food security in the Maghreb states. Policymakers must improve the investment climate in North African countries to encourage investors to enter the agricultural sector.
What Factors Are Limiting Financial Inclusion and Development in Peru? Empirical Evidence
Authors: Náñez Alonso Sergio , Jorge-Vazquez Javier , Arias Lieslie , del Nogal Noelia
Published: April 2024

Despite recent efforts in Peru to boost financial inclusion, significant issues of exclusion persist, especially among vulnerable groups. This article aims to identify and analyze areas at risk of financial exclusion using a multifaceted methodology: the Financial Access Survey (FAS) for comparative analysis (Peru versus other countries and regions), geographical-distribution analysis, and the Access to Cash Index (ACI) methodology. Findings reveal that remote rural areas of Peru, particularly those inland, as well as mountainous or jungle regions, face higher risks of financial exclusion due to low digital literacy, limited digital banking usage, sparse branch and ATM networks, and inadequate transportation infrastructure. These insights can inform targeted public policies to enhance financial inclusion in Peru, as well as the development.
Solution-Processable and Eco-Friendly Functionalization of Conductive Silver Nanoparticles Inks for Printable Electronics
Authors: Ceron Sonia , Barba David , Dominguez Miguel A.
Published: April 2024

The functionalization of conductive inks has been carried out through the decomposition of hydrogen peroxide (H2O2) onto the surface of silver nanoparticles (AgNPs). The ink prepared using this eco-friendly chemical reagent has been characterized structurally, chemically, and morphologically, showing the presence of stable AgNPs with suitable properties as well as the absence of residual contamination. The electrical conductivity of such a solution-processable ink is evidenced for patterns designed on flexible photographic paper substrates, using a refillable fountain pen that is implemented as a printing mechanism for the fabrication of simple printed circuit boards (PCBs). The functionality and durability of the tested systems are demonstrated under various mechanical constraints, aiming to basically reproduce the normal operation conditions of flexible electronic devices. The obtained results indicate that the implementation of these AgNP-based inks is relevant for direct applications in inkjet printing technology, thus paving the way for the use of greener chemicals in ink preparation.
Applying Swin Architecture to Diverse Sign Language Datasets
Authors: Kumar Yulia , Huang Kuan , Lin Chin-Chien , Watson Annaliese , Li J. Jenny , Morreale Patricia , Delgado Justin
Published: April 2024

In an era where artificial intelligence (AI) bridges crucial communication gaps, this study extends AI’s utility to American and Taiwan Sign Language (ASL and TSL) communities through advanced models like the hierarchical vision transformer with shifted windows (Swin). This research evaluates Swin’s adaptability across sign languages, aiming for a universal platform for the unvoiced. Utilizing deep learning and transformer technologies, it has developed prototypes for ASL-to-English translation, supported by an educational framework to facilitate learning and comprehension, with the intention to include more languages in the future. This study highlights the efficacy of the Swin model, along with other models such as the vision transformer with deformable attention (DAT), ResNet-50, and VGG-16, in ASL recognition. The Swin model’s accuracy across various datasets underscore its potential. Additionally, this research explores the challenges of balancing accuracy with the need for real-time, portable language recognition capabilities and introduces the use of cutting-edge transformer models like Swin, DAT, and video Swin transformers for diverse datasets in sign language recognition. This study explores the integration of multimodality and large language models (LLMs) to promote global inclusivity. Future efforts will focus on enhancing these models and expanding their linguistic reach, with an emphasis on real-time translation applications and educational frameworks. These achievements not only advance the technology of sign language recognition but also provide more effective communication tools for the deaf and hard-of-hearing community.
Deep Reinforcement Learning-Based Task Offloading and Load Balancing for Vehicular Edge Computing
Authors: Wu Zhoupeng , Jia Zongpu , Pang Xiaoyan , Zhao Shan
Published: April 2024

Vehicular edge computing (VEC) effectively reduces the computational burden on vehicles by offloading tasks from resource-constrained vehicles to edge nodes. However, non-uniformly distributed vehicles offloading a large number of tasks cause load imbalance problems among edge nodes, resulting in performance degradation. In this paper, we propose a deep reinforcement learning-based decision scheme for task offloading and load balancing with the optimization objective of minimizing the system cost considering the split offloading of tasks and the load dynamics of edge nodes. First, we model the mutual interaction between mobile vehicles and Mobile Edge Computing (MEC) servers using a Markov decision process. Second, the optimal task-offloading and resource allocation decision is obtained by utilizing the twin delayed deep deterministic policy gradient algorithm (TD3), and server load balancing is achieved through edge collaboration using a server selection algorithm based on the technique for order preference by similarity to the ideal solution (TOPSIS). Finally, we have conducted extensive simulation experiments and compared the results with several other baseline schemes. The proposed scheme can more effectively reduce the system cost and increase the system resource utilization.
Neural Network-Based Approach for Failure and Life Prediction of Electronic Components under Accelerated Life Stress
Authors: Qiu Yunfeng , Li Zehong
Published: April 2024

Researchers worldwide have been focusing on accurately predicting the remaining useful life of electronic devices to ensure reliability in various industries. This has been made possible by advancements in artificial intelligence (AI), machine learning, and Internet of Things (IoT) technologies. However, accurately forecasting device life with minimal data sets, especially in industrial applications, remains a challenge. This paper aims to address this challenge by utilizing machine learning algorithms, specifically BP, XGBOOST, and KNN, to predict device reliability with limited data. The remaining life dataset of electronic components is obtained through simulation for training and testing the algorithms, and the experimental results show that the algorithms achieve a certain level of accuracy, with the error rates being as follows: BP algorithm, 0.01–0.02%; XGBOOST algorithm, 0.01–0.02%; and KNN algorithm, 0–0.07%. By benchmarking these algorithms, the study demonstrates the feasibility of deploying machine learning models for device life prediction with acceptable accuracy loss, and highlights the potential of AI algorithms in predicting the reliability of electronic devices.
Pandemic Equation and COVID-19 Evolution
Authors: Shur Michael
Published: April 2024

The Pandemic Equation describes multiple pandemic waves and has been applied to describe the COVID-19 pandemic. Using the generalized approaches of solid-state physics, we derive the Pandemic Equation, which accounts for the effects of pandemic mitigation measures and multiple pandemic waves. The Pandemic Equation uses slow and fast time scales for “curve flattening” and describing vaccination and mitigation measures and the Scaled Fermi–Dirac distribution functions for describing transitions between pandemic waves. The Pandemic Equation parameters extracted from the pandemic curves can be used for comparing different scenarios of the pandemic evolution and for extrapolating the pandemic evolution curves for the periods of time on the order of the instantaneous Pandemic Equation characteristic time constant. The parameter extraction for multiple locations could also allow for uncertainty quantification for such pandemic evolution predictions.
Water Reuse: A Comprehensive Review
Authors: Florides Fivos , Giannakoudi Maria , Ioannou Giorgos , Lazaridou Despoina , Lamprinidou Elissavet , Loukoutos Nikolaos , Spyridou Maria , Tosounidis Eleftherios , Xanthopoulou Maria , Katsoyiannis Ioannis A.
Published: April 2024

Water scarcity has emerged as a pressing global concern, driven by population growth, urbanization, and climate change. As freshwater resources dwindle, the imperative for water reuse becomes increasingly apparent. Reusing water presents a sustainable solution to mitigate scarcity, offering a way to maximize the efficiency of available resources. This review delves into the multifaceted landscape of water consumption and reuse, aiming to provide a comprehensive analysis and understanding of this critical issue. It explores the diverse implications of unregulated water consumption, spanning from its impacts on household routines to its profound influence on economic activities. Additionally, it scrutinizes the legislative framework surrounding water usage, shedding light on the policies and regulations in place. Furthermore, the review investigates the current status of water reuse practices in Europe, delving into various methods of water recovery. Finally, it examines public perceptions and attitudes toward recycled water, offering insights into the societal outlook on this increasingly vital aspect of water management.
Evolutionary Characterization of tubulin Gene Family in the Desert Biomass Willow (Salix psammophila) and Expression of the β-tubulin Gene SpsTUB10 during Different Stresses
Authors: He Yujiao , Fan Lijiao , Wang Ruiping , Han Shengli , Sun Guirong , Yu Fengqiang , Yang Qi , Yang Haifeng , Zhang Guosheng
Published: April 2024

Microtubules, polymerized from α-tubulin (TUA) and β-tubulin (TUB) monomers, play a pivotal role in shaping plant morphogenesis according to developmental and environmental cues. Salix psammophila C. Wang & C. Y. Yang is an important shrub plant in sand-fixing afforestation in arid regions, with three significantly distinct plant types shaped under various environments, namely, upright, intermediate, and scattered types. However, how tubulin genes respond to the developmental and environmental signs in S. psammophila has been far less studied. Here, based on RNA-seq, Sanger sequencing, and real-time PCR (RT-PCR) data, we analyzed the phylogeny of tubulins and their expression profiles in S. psammophila among the three plant types. Furthermore, we analyzed the genetic structure and expression pattern of SpsTUB10 in S. psammophila under various abiotic stress treatments. In total, we identified 26 SpsTubulin genes in S. psammophila. The homologous alignment and phylogenetic analysis revealed that these SpsTubulin genes can be classified into two groups, corresponding to the TUA and TUB genes. The expression profiles of these SpsTubulin genes in various organs showed that most SpsTubulin genes were mainly expressed in the root. SpsTUB10 is a member of the TUB IIa group, consisting of two intros and three exons. The SpsTUB10 protein contains a typical GTPase domain and a C-terminal domain, with α-helix and random coil dominant in the secondary and tertiary structures. The RT-PCR results of SpsTUB10 showed an extremely significant difference in expression levels among the root and stem-developing organs between the upright and scattered types, and the transcript level of SpsTUB10 had a significantly negative correlation with the crown-height ratio. Under different treatments, we found that cold, osmotic stress, and short daylight could significantly increase SpsTUB10 expression levels compared to those in the controls, thereby supporting the positive role of SpsTUB10 in stress-induced responses. These results will provide evidence for the SpsTubulin genes’ response to the developmental and environmental cues in S. psammophila.
Genome-Wide Identification and Expression of the AP2/ERF Gene Family in Morus notabilis
Authors: Dou Hao , Wang Tiantian , Zhou Xin , Feng Xi , Tang Wu , Quan Jin’e , Bi Huitao
Published: April 2024

The AP2/ERF gene family, referring to an exclusive class of transcription factors unique to plants, is involved in various biological processes, including plant growth and responses to environmental stresses like high salt and drought. In this study, the AP2/ERF gene in M. notabilis was comprehensively identified and bioinformatically analyzed based on the genomic data of M. notabilis. 106 members in the MnAP2/ERF gene family were identified in the M. notabilis genome and were categorized into five subfamilies: ERF, AP2, DREB, RAV, and Soloist, with the ERF subfamily representing 80.19% of the total. The MnAP2/ERF gene family was observed to be distributed on six chromosomes of M. notabilis. Members in the MnAP2/ERF gene family exhibited obvious differences in amino acid number, molecular weight, isoelectric point, and other properties. Approximately 68.87% of the MnAP2/ERF proteins were acidic, all exhibiting hydrophilic characteristics. Differences in conserved sequences and arrangement of AP2 domains were observed among distinct subfamilies, with genes in the same subfamily sharing similar conserved domain compositions. There were 47 genes without untranslated regions and 44 genes with two untranslated regions. The upstream functions of promoters were concentrated on light reactions and plant hormones. Evolutionarily, significant structural differences were identified, and 28 MnAP2/ERF gene family proteins could interact with each other. Moreover, 35 family genes were involved in 22 fragment repeat events, and 55 MnAP2/ERF and 84 AtAP2/ERF genes showed collinearity. The expression of the MnAP2/ERF gene family was significantly different in different parts, indicating that these gene family members were involved in different physiological activities. These results established a theoretical foundation for investigating the functional and evolutionary aspects of AP2/ERF gene family genes in M. notabilis, as well as exploring the root morphogenesis of M. notabilis. Additionally, this study contributes to a basis for the improvement of cultivar stress resistance of M. notabilis.
Isolation and Characterization of the Sulfate Transporter Gene Family and Its Expression Pattern in Response to Selenium and Abiotic Stress in Walnuts (Juglans regia L.)
Authors: Zhang Simin , Xue Yansheng , Liu Ningfang , Quzhen Danzeng , Qiong De , Liao Yongling , Zhang Weiwei , Ye Jiabao , Wang Qijian , Xu Feng
Published: April 2024

The sulfate transporter (SULTR) is responsible for the transport and uptake of sulfate, which plays an indispensable role in the growth cycle of plants and adaptation to plant stress. However, there are few reports on the response and regulation of SULTR gene family members in walnuts (Juglans regia L.) to sodium selenate, low temperatures, high temperatures, and simulated drought stress. In this study, the whole genome of the SULTR genes family in walnuts was identified and analyzed by the bioinformatics method. The results show that the walnut genome contains seventeen JrSULTR genes, which are unevenly distributed on eight chromosomes and can be divided into four subfamilies. Cis-acting elements that respond to stress and participate in the regulation of plant hormones were found in the promoter sequence of the JrSULTR genes. The analysis of transcriptome data showed that the expression of JrSULTR1.2b was significantly upregulated under sodium selenate treatment, and the results of qRT-PCR analysis were basically consistent with the transcriptome data. The expression of JrSULTR3.1a and JrSULTR3.4b increased with the prolongation of simulated drought stress time. The transcription levels of JrSULTR1.2b and JrSULTR3.1a were significantly increased after low-temperature treatment. After 9 h of high-temperature treatment, the expression levels of JrSULTR3.1a and JrSULTR3.3 were significantly increased. JrSULTR1.2b and JrSULTR3.1a showed significant expression specificity under stress treatment. At the same time, we also performed subcellular localization of these two genes, which was consistent with the predicted results and was in the cell membrane, and their regulatory functions need to be further studied. These studies laid the foundation for us to explore the specific function of the JrSULTR genes in alleviating abiotic stress in walnuts.
Biohydrogen, Volatile Fatty Acids, and Biomethane from Mezcal Vinasses—A Dark Fermentation Process Evaluation
Authors: Díaz-Barajas Sergio A. , Moreno-Andrade Iván , Estrada-Arriaga Edson B. , García-Sánchez Liliana , Garzón-Zúñiga Marco A.
Published: April 2024

Mezcal is a drink made in Mexico, the production of which generates vinasses with a high content of organic matter (OM) that is not utilized. However, these residues have the potential to be drawn upon in dark fermentation (DF) processes to obtain biogas rich in biohydrogen, biomethane, and volatile fatty acids (VFAs) with the potential to become biofuels. In the present work, the effect of reaction time (RT) and organic load (OL) was assessed based on the efficiency of removing OM, the production of VFAs, and the generation and composition of biogas in a process of DF fed with mezcal vinasses. The results show that increasing the RT and decreasing the OL increases COD removal but decreases biohydrogen production. The maximum production of H2 (64 ± 21 NmL H2/Lreactor) was obtained with the lowest RT (1 d) and the highest OL (13.5 gCODm3d−1), while the highest accumulation of VFAs (2007 ± 327 mg VFA/L) was obtained with an RT of 3 d. It was determined that RT and OL are key parameters in DF processes for biohydrogen and VFA production.
Comparing Accuracy of Wildfire Spread Prediction Models under Different Data Deficiency Conditions
Authors: Zhou Jiahao , Jiang Wenyu , Wang Fei , Qiao Yuming , Meng Qingxiang
Published: April 2024

Wildfire is one of the most severe natural disasters globally, profoundly affecting natural ecology, economy, and health and safety. Precisely predicting the spread of wildfires has become an important research topic. Current fire spread prediction models depend on inputs from a variety of geographical and environmental variables. However, unlike the ideal conditions simulated in the laboratory, data gaps often occur in real wildfire scenarios, posing challenges to the accuracy and robustness of predictions. It is necessary to explore the extent to which different missing items affect prediction accuracy, thereby providing rational suggestions for emergency decision-making. In this paper, we tested how different conditions of missing data affect the prediction accuracy of existing wildfire spread models and quantified the corresponding errors. The final experimental results suggest that it is necessary to judge the potential impact of data gaps based on the geographical conditions of the study area appropriately, as there is no significant pattern of behavior yet identified. This study aims to simulate the impact of data scarcity on the accuracy of wildfire spread prediction models in real scenarios, thereby enabling researchers to better understand the priority of different environmental variables for the model and identify the acceptable degree of missing data and the indispensable data attributes. It offers new insights for developing spread prediction models applicable to real-world scenarios and rational assessment of the effectiveness of model outcomes.
Applicability of an Ionising Radiation Measuring System for Real-Time Effective-Dose-Optimised Route Finding Solution during Nuclear Accidents
Authors: Zsitnyányi Attila , Petrányi János , Jónás Jácint , Garai Zoltán , Kátai-Urbán Lajos , Zádori Iván , Kobolka István
Published: April 2024

The reduction in the effective dose of evacuated injured persons through contaminated areas of nuclear accidents is an essential emergency services requirement. In this context, there appeared a need to develop a dose-optimised route finding method for firefighting rescue vehicles, which includes the development of a real-time decision support measurement and evaluation system. This determines and visualises the radiation exposure of possible routes in a tested area. The system inside and outside of the vehicle measures the ambient dose equivalent rate, the gamma spectra, and also the airborne radioactive aerosol and iodine levels. The method uses gamma radiation measuring NaI(Tl) scintillation detectors mounted on the outside of the vehicle, to determine the dose rate inside the vehicle using the previously recorded attenuation conversation function, while continuously collecting the air through a filter and using an alpha, beta, and gamma radiation measuring NaI(Tl)+ PVT + ZnS(Ag) scintillator to determine the activity concentration in the air, using these measured values to determine the effective dose for all routes and all kinds of vehicles. The energy-dependent shielding effect of the vehicle, the filtering efficiency of the collective protection equipment, and the vehicle’s speed and travel time were taken into account. The results were validated by using gamma point sources with different activity and energy levels. The measurement results under real conditions and available real accident data used in our simulations for three different vehicles and pedestrians proved the applicability of the system. During a nuclear accident based on our model calculations, the inhalation of radioactive aerosols causes a dose almost an order of magnitude higher than the external gamma radiation caused by the fallout contamination. The selection of the appropriate vehicle and its route is determined by the spectrum that can be measured at the accident site but especially by the radioactive aerosol concentration in the air that can be measured in the area. In the case of radiation measuring detectors, the shielding effect of the carrier vehicle must be taken into account, especially in the case of heavy shielding vehicles. The method provides an excellent opportunity to reduce the damage to the health of accident victims and first responders during rescue operations.
Liquid Vortex Formation in a Swirling Container Considering Fractional Time Derivative of Caputo
Authors: Turkyilmazoglu Mustafa , Alofi A. S.
Published: April 2024

This paper applies fractional calculus to a practical example in fluid mechanics, illustrating its impact beyond traditional integer order calculus. We focus on the classic problem of a rigid body rotating within a uniformly rotating container, which generates a liquid vortex from an undisturbed initial state. Our aim is to compare the time evolutions of the physical system in fractional and integer order models by examining the torque transmission from the rotating body to the surrounding liquid. This is achieved through closed-form, time-developing solutions expressed in terms of Mittag–Leffler and Bessel functions. Analysis reveals that the rotational velocity and, consequently, the vortex structure of the liquid are influenced by three distinct time zones that differ between integer and noninteger models. Anomalous diffusion, favoring noninteger fractions, dominates at early times but gradually gives way to the integer derivative model behavior as time progresses through a transitional regime. Our derived vortex formula clearly demonstrates how the liquid vortex is regulated in time for each considered fractional model.
Analysis of Uncertainty in Internal Erosion Simulations for DLBreach and WinDAM C
Authors: Atkinson Anthony , Neilsen Mitchell
Published: April 2024

The work detailed here is part of an international initiative on the evaluation of dam safety simulation software for internal erosion performance and best practices. The primary experiments involve simulating uncertainty in the failure events of two dams with two different models: DLBreach and WinDAM C. DLBreach is a physically-based dam/levee breach model developed by Wu. WinDAM C is also a physically based dam breach model capable of analyzing both dam overtopping and internal erosion. The dams selected for the analysis include a 1.3 m high dam tested in the lab and a larger 15.56 m high dam, which suffered a failure in the field. The findings from these experiments are extended with a further analysis on variance, sensitivity, and optimization. Finally, a regression model is trained using the results of these simulators as an inquiry into how well such a system can be captured using machine learning techniques. The results of these experiments, together with the results of the other members of the initiative, improve our understanding of the influences that users bring to using these tools.
Geotechnical and Geophysical Assessment of the 2021 Tamban Chimbo Landslide, Northern Andes of Ecuador
Authors: Salinas Isela , Paucar Abelardo , Quiñónez-Macías María , Grau Francisco , Barragán-Taco Marysabel , Toulkeridis Theofilos , Chunga Kervin
Published: April 2024

The recent landslide at the Tamban site, on 21 December 2021 (23:30 local time), provides relevant information on the trigger mechanisms and their relationship with geological factors. Therefore, the predominant aims of the current study were to identify the lithological units in the rocky substrate and subsoil from geophysical surveys, delineating the thickness of the tuff- and lapilli-supported fall layers. Additionally, we evaluated the deformation dynamics from probabilistic and deterministic analysis, where a plane with well-differentiated discontinuities of normal-type geological fault was evidenced. This deformation feature was associated with a planar-type landslide that reached a debris flow up to 330 m distance, with varied thicknesses. Furthermore, we conducted a probabilistic analysis, which started from the characteristics of the post-slide material analyzed through triaxial trials that were conducted to a retro-analysis in order to obtain the parameters of the moment the event occurred. With the base parameters to perform the landslide analysis and determine its safety factors in compliance with current regulations, a reinforced earth configuration was applied using the Maccaferri’s Terramesh method. Hence, it was possible to provide an analysis methodology for further geological scenarios of landslides that occurred in the province of Bolívar, the northern Andes of Ecuador.
AI and Ethics: A Systematic Review of the Ethical Considerations of Large Language Model Use in Surgery Research
Authors: Pressman Sophia M. , Borna Sahar , Gomez-Cabello Cesar A. , Haider Syed A. , Haider Clifton , Forte Antonio J.
Published: April 2024

Introduction: As large language models receive greater attention in medical research, the investigation of ethical considerations is warranted. This review aims to explore surgery literature to identify ethical concerns surrounding these artificial intelligence models and evaluate how autonomy, beneficence, nonmaleficence, and justice are represented within these ethical discussions to provide insights in order to guide further research and practice. Methods: A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Five electronic databases were searched in October 2023. Eligible studies included surgery-related articles that focused on large language models and contained adequate ethical discussion. Study details, including specialty and ethical concerns, were collected. Results: The literature search yielded 1179 articles, with 53 meeting the inclusion criteria. Plastic surgery, orthopedic surgery, and neurosurgery were the most represented surgical specialties. Autonomy was the most explicitly cited ethical principle. The most frequently discussed ethical concern was accuracy (n = 45, 84.9%), followed by bias, patient confidentiality, and responsibility. Conclusion: The ethical implications of using large language models in surgery are complex and evolving. The integration of these models into surgery necessitates continuous ethical discourse to ensure responsible and ethical use, balancing technological advancement with human dignity and safety.
Incidence of Perinatal Post-Traumatic Stress Disorder in Catalonia: An Observational Study of Protective and Risk Factors
Authors: Canet-Vélez Olga , Besa Meritxell Escalé , Sanromà-Ortíz Montserrat , Espada-Trespalacios Xavier , Escuriet Ramón , Prats-Viedma Blanca , Cobo Jesús , Ollé-Gonzalez Júlia , Vela-Vallespín Emili , Casañas Rocio
Published: April 2024

Pregnancy and childbirth have a great impact on women’s lives; traumatic perinatal experiences can adversely affect mental health. The present study analyzes the incidence of perinatal post-traumatic stress disorder (PTSD) in Catalonia in 2021 from data obtained from the Registry of Morbidity and Use of Health Resources of Catalonia (MUSSCAT). The incidence of perinatal PTSD (1.87%) was lower than in comparable studies, suggesting underdiagnosis. Poisson regression adjusting for age, income, gestational weeks at delivery, type of delivery, and parity highlighted the influence of sociodemographics, and characteristics of the pregnancy and delivery on the risk of developing perinatal PTSD. These findings underline the need for further research on the risk factors identified and for the early detection and effective management of PTSD in the perinatal setting.
Echoes of Support: A Qualitative Meta-Synthesis of Caregiver Narratives in Lung Cancer Care
Authors: Tragantzopoulou Panagiota , Giannouli Vaitsa
Published: April 2024

Lung cancer stands as one of the prevalent cancers, impacting both men and women globally. Family caregivers, deeply involved in the care of individuals affected by this disease, often endure heightened distress and struggle to navigate the manifold challenges associated with caregiving. Understanding the intricate experiences and challenges of caregivers in the realm of lung cancer care is critical, given its profound impact on their well-being and the quality of patient care. This study aimed to comprehensively examine and synthesize qualitative data concerning caregiver experiences within the context of lung cancer. Six databases were systematically searched for studies with qualitative findings relevant to caregivers and lung cancer. Seventeen studies were included, and findings were reviewed and synthesized. The main challenges identified were: ‘Information accessibility’, ‘Dual roles and family dynamics’, ‘Coping with emotional challenges and uncertainty’, and ‘Need for support networks’. These findings underscore the profound challenges faced by caregivers, shedding light on the substantial impact of cancer on their well-being and functionality. Moreover, the study accentuates the pressing need for tailored support systems that can address the emotional toll and information needs of caregivers. This emphasis on supportive interventions is vital to enhance the quality of care and overall well-being for both patients and caregivers within the lung cancer care continuum.
Development of a Conversion Table Linking Functional Independence Measure Scores to International Classification of Functioning, Disability, and Health Qualifiers: Insights from a Survey of Healthcare Professionals
Authors: Umemori Shu , Ogawa Mao , Yamada Shin , Komatsu Masayo , Oikawa Emiko , Okamoto Yasuyo , Katoh Masaki , Shirasaka Tomohide , Abiko Kagari , Moriizumi Shigehiro , Matsuo Yuichiro , Tohyama Harukazu , Mukaino Masahiko
Published: April 2024

In clinical practice, patient assessments rely on established scales. Integrating data from these scales into the International Classification of Functioning, Disability, and Health (ICF) framework has been suggested; however, a standardized approach is lacking. Herein, we tested a new approach to develop a conversion table translating clinical scale scores into ICF qualifiers based on a clinician survey. The survey queried rehabilitation professionals about which functional independence measure (FIM) item scores (1–7) corresponded to the ICF qualifiers (0–4). A total of 458 rehabilitation professionals participated. The survey findings indicated a general consensus on the equivalence of FIM scores with ICF qualifiers. The median value for each item remained consistent across all item groups. Specifically, FIM 1 had a median value of 4; FIM 2 and 3 both had median values of 3; FIM 4 and 5 both had median values of 2; FIM 6 had a median value of 1; and FIM 7 had a median value of 0. Despite limitations due to the irreconcilable differences between the frameworks of existing scales and the ICF, these results underline the ICF’s potential to serve as a central hub for integrating clinical data from various scales.
The Use of Gamification for Learning SCRUM: Findings from a Case Study with Information Systems Students
Authors: Castro Lopes Filomena , Fernandes Sandra
Published: April 2024

Gamification has emerged in higher education as an innovative approach that engages and stimulates student participation and active learning, through the integration of game elements in the learning experience. This study presents a case study in the field of Information Systems, based on the use of gamification, through the use of Lego bricks, to learn SCRUM. The participants in the study include 12 first-year students, enrolled in the curricular unit of Information Systems, in the academic year of 2022/2023, at a Portuguese Higher Education Institution. The objective of the study is to analyze student’s understanding of the SCRUM approach, in regard to: (1) how students understand the different roles of SCRUM and the objective of each ceremony; and (2) how students understand the structure of the SCRUM framework. Findings from the study show that students who engaged in the gamified learning environment demonstrated higher comprehension of SCRUM roles, scoring significantly better on assessments compared to their non-participating peers. In general, students felt that the gamification experience achieved its objectives. Future work aims to bring the game closer to the reality of the software development process, making it more aligned with the lego4scrum methodology approach.
Adaptive Complexity: Examining Texas Public Postsecondary Institutions’ Provision of Student Basic Needs Programs
Authors: Zottarelli Lisa K. , Xu Xiaohe , Hatcher Jayla M. , Thiruppathiraj Raji , Ellis Natasha , Chowdhury Shamatanni , Sunil Thankam
Published: April 2024

This study reveals that the likelihood and diversity of postsecondary institutions providing basic needs programs are significantly influenced by institutional factors such as the institutions’ organization and size. This study also indicates that Hispanic-Serving Institutions tend to provide emergency housing, which highlights a targeted response to specific community needs. In addition, the analysis indicates that the presence of students with financial needs is linked to the availability of food pantry services, suggesting a strategic approach to address student welfare. The findings from this study provide critical insights into how institutional characteristics influence the provision and variety of basic needs services. These conclusions not only underscore the pivotal role of such services in supporting the overall well-being and academic success of students but also indicate institutional factors that support the formal implementation of a variety of basic needs programs to meet diverse student needs.
Fine Mapping and Candidate Gene Validation of Tomato Gene Carpelloid Stamen and Parthenocarpy (CSP)
Authors: Li Shanshan , Wei Kai , Zhang Li , Ning Yu , Lu Feifei , Wang Xiaoxuan , Guo Yanmei , Liu Lei , Li Xin , Zhu Can , Du Yongchen , Li Junming , Huang Zejun
Published: April 2024

Parthenocarpy and male sterility are highly desirable traits in tomato breeding and molecular study. The stamen carpelloid mutant generally displays male sterility. A natural mutant displaying carpelloid stamen and parthenocarpy (csp) was identified in our research group. In this study, the csp locus was finely mapped to a 65 kb interval, which contained six putative genes. One of them, Solyc04g081000, encodes the tomato class B MADS box gene TAP3 (syn. SlDEF). Sequencing data revealed that a copia long terminal repeat retrotransposon was inserted in the first intron of the TAP3 gene of the csp mutant. qRT-PCR showed that the expression of TAP3 was significantly down-regulated in the petals and stamens of the csp mutant. A phenotypic analysis of the TAP3 gene-edited mutants and allelism tests indicated that TAP3 was the gene underlying csp, and csp was a novel allelic mutation of TAP3. The results of this study will lay the foundation for a further analysis of the function of TAP3 and provide materials and a basis for a further study of the functional differentiation of tomato B-class genes.
Development of Master Chef: A Curriculum to Promote Nutrition and Mindful Eating among College Students
Authors: Parsons Kayla , Strout Kelley , Winn Caitlyn , Therrien-Genest Mona , Yerxa Kate , McNamara Jade
Published: April 2024

Research suggests that success in improving undergraduates’ diet quality can benefit from a multifaceted approach, incorporating nutrition education, mindful eating, and culinary skill-building. The current study aimed (1) to review the development of Master Chef, a mindful eating curriculum, and (2) assess its feasibility through an online expert review. Expert reviewers were recruited through an online mindful eating course. Survey questions included both Likert-style and open-ended questions. Quantitative survey data were analyzed using descriptive statistics. Two independent researchers coded qualitative data, which then underwent inductive thematic analysis. Reviewers (N = 7) were experts in the fields of nutrition, psychology, and mindful eating. Master Chef’s overall feasibility was rated highly. The overall curriculum was perceived positively. However, it was recommended that the program include more mindfulness. Master Chef was identified as a feasible program for improving the health behaviors of college students. Pilot dissemination and analysis will be necessary to assess the program’s effectiveness in supporting disease prevention among undergraduates.