bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 pandemic impact on adolescent mental health: a reassessment accounting for development
Authors: Wright N. , Hill J. , Sharp H. , Refberg-Brown M. , Crook D. , Kehl S. , Pickles A. 
Published: January 2024

AbstractCurrent prospective reports suggest a pandemic-related increase in adolescent mental health problems. We examine whether age-related change over 11–14 years accounts for this increase. Mothers and adolescents in a UK-based birth cohort (Wirral Child Health and Development Study; WCHADS; N = 737) reported on adolescent depression and behavioural problems pre-pandemic (December 2019–March 2020), mid-pandemic (June 2020–March 2021) and late pandemic (July 2021–March 2022). Analysis used repeated measures models for over-dispersed Poisson counts with an adolescent-specific intercept with age as a time-varying covariate. Maturational curves for girls, but not for boys, showed a significant increase in self-reported depression symptoms over ages 11–14 years. Behavioural problems decreased for both. After adjusting for age-related change, girls’ depression increased by only 13% at mid-pandemic and returned to near pre-pandemic level at late pandemic (mid versus late – 12%), whereas boys’ depression increased by 31% and remained elevated (mid versus late 1%). Age-adjusted behavioural problems increased for both (girls 40%, boys 41%) and worsened from mid- to late pandemic (girls 33%, boys 18%). Initial reports of a pandemic-related increase in depression in young adolescent girls could be explained by a natural maturational rise. In contrast, maturational decreases in boys’ depression and both boys’ and girls’ behavioural problems may mask an effect of the pandemic.
A conceptual framework for context-driven self-adaptive intelligent user interface based on Android
Authors: Ali Mughees , Khan Saif Ur Rehman , Mashkoor Atif , Taskeen Anam 
Published: January 2024

AbstractAdaptive User Interface (AUI) can change its layout, appearance, and/or elements based on the needs of its user requirements and current usage context. The AUIs are used in state-of-the-art software products, applications for mobile devices, and websites. Moreover, AUI is an emerging research field in a mobile context, as it can enhance usability, performance, and user satisfaction. This study aims to propose a conceptual framework for developing a real-time self-adaptive user interface based on the Android Operating System (OS). Furthermore, the focus is on developing the core algorithms for the modules of the proposed framework. To evaluate the performance of the proposed framework, three case studies have been designed based on the daily and weekly activities of the user. Moreover, an expert-based validation approach is employed to obtain the expert’s feedback regarding the proposed framework. The result indicates that the proposed framework helps improve user satisfaction and experience by making an intelligent mobile device interface. The results of the framework’s evaluation and validation show the proposed framework’s feasibility and effectiveness. We conclude that the current work is beneficial in filling the identified research gap. Moreover, this research shows the significance of an adaptive interface in an Android OS-based context. In addition, it not only helps in improving the user interest and satisfaction but also enhances the overall performance of the mobile device.
Euglena mutabilis exists in a FAB consortium with microbes that enhance cadmium tolerance
Authors: Kaszecki Emma , Palberg Daniel , Grant Mikaella , Griffin Sarah , Dhanjal Chetan , Capperauld Michael , Emery R. J. Neil , Saville Barry J. 
Published: January 2024

Abstract
Background
Synthetic algal–fungal and algal–bacterial cultures have been investigated as a means to enhance the technological applications of the algae. This inclusion of other microbes has enhanced growth and improved stress tolerance of the algal culture. The goal of the current study was to investigate natural microbial consortia to gain an understanding of the occurrence and benefits of these associations in nature. The photosynthetic protist Euglena mutabilis is often found in association with other microbes in acidic environments with high heavy metal (HM) concentrations. This may suggest that microbial interactions are essential for the protist’s ability to tolerate these extreme environments. Our study assessed the Cd tolerance of a natural fungal–algal–bacterial (FAB) association whereby the algae is E. mutabilis.

Results
This study provides the first assessment of antibiotic and antimycotic agents on an E. mutabilis culture. The results indicate that antibiotic and antimycotic applications significantly decreased the viability of E. mutabilis cells when they were also exposed to Cd. Similar antibiotic treatments of E. gracilis cultures had variable or non-significant impacts on Cd tolerance. E. gracilis also recovered better after pre-treatment with antibiotics and Cd than did E. mutabilis. The recoveries were assessed by heterotrophic growth without antibiotics or Cd. In contrast, both Euglena species displayed increased chlorophyll production upon Cd exposure. PacBio full-length amplicon sequencing and targeted Sanger sequencing identified the microbial species present in the E. mutabilis culture to be the fungus Talaromyces sp. and the bacterium Acidiphilium acidophilum.

Conclusion
This study uncovers a possible fungal, algal, and bacterial relationship, what we refer to as a FAB consortium. The members of this consortium interact to enhance the response to Cd exposure. This results in a E. mutabilis culture that has a higher tolerance to Cd than the axenic E. gracilis. The description of this interaction provides a basis for explore the benefits of natural interactions. This will provide knowledge and direction for use when creating or maintaining FAB interactions for biotechnological purposes, including bioremediation.
Comparison of the surgical outcomes of the posterior approach, video-assisted thoracic surgery, and combined approach for thoracic dumbbell tumors based on a new classification: a retrospective study
Authors: Zilong Mao , Jinan Zhang , Weixin Li , Peng Wang , Wei Zuo 
Published: January 2024

AbstractThe appropriate surgical treatment strategy was based on the regions of tumor invasion. There is no classification to aid the surgeon in selection. A retrospective study of the clinical data of patients who underwent resection of thoracic dumbbell tumors at the Neurosurgery and Thoracic Surgery Department of Hospital between January 1, 2016, and December 31, 2021 was conducted. Patient data, images, and surgical outcome data were collected. The thoracic spine was divided into areas A, B, and C with respect to the line through the middle of the intervertebral foramen and the line of the costo-transverse joint lateral margin in the horizontal plane. Type I tumors were located in areas A or A and B, type II tumors were located in areas B or B and C, and type III tumors were located in areas A, B, and C. Fifty-five patients with thoracic dumbbell tumors were surgically treated (mean age, 43.1 years; 22 (40%) female). The patients with type I and III tumors underwent the posterior approach, type III tumors had more bleeding during the operation and longer operation times than type I. Among the patients with type II tumors who underwent video-assisted thoracic surgery and the posterior approach, the posterior group had more bleeding and a longer operation time than the others. The patients with type III tumors underwent the combined approach and the posterior approach; although there was no clear difference in the bleeding volume or operation time, the combined approach group had a lower incidence of complications. The new classification of different types of thoracic dumbbell tumors can simply and effectively guide the selection of surgery.
Far from home: tracing the origin of non-native water frogs (genus Pelophylax) in Malta by molecular markers
Authors: Papežík Petr , Sciberras Arnold , Benovics Michal , Sciberras Jeffrey , Deidun Alain , Mikulíček Peter 
Published: January 2024

AbstractOne of the most frequently translocated species outside their native range in Europe are water frogs of the genus Pelophylax. Recently, water frogs belonging to the same genus have also been recorded on the island of Gozo in Malta. To trace their origin, we genetically examined 17 individuals from three Gozitan localities where water frogs have been recorded recently. We analysed one mitochondrial (NADH dehydrogenase 2, ND2) and one nuclear (serum albumin intron 1, SAI-1) fragment to identify the geographic origin of the frogs and a set of microsatellite markers to determine their population-genetic structure and the predicted number of source populations. Based on the ND2 and SAI-1 markers, the water frogs on the island of Gozo originate from southern Anatolia, Turkey. According to sequence variation in ND2, they were assigned to a caralitanus mtDNA clade, which is endemic to southern Anatolia and taxonomically represents either an evolutionary lineage within P. cf. bedriagae or a separate species P. caralitanus. All Gozo water frogs had only one haplotype in the ND2 and one allele in the SAI-1 fragment, indicating a recent and single introduction event. These results are supported by microsatellite analysis, which revealed low genetic variability and the absence of any population-genetic structure, suggesting that Gozo water frogs originate from only one source population.
CompTrails: comparing hypotheses across behavioral networks
Authors: Koopmann Tobias , Becker Martin , Lemmerich Florian , Hotho Andreas 
Published: January 2024

AbstractThe term Behavioral Networks describes networks that contain relational information on human behavior. This ranges from social networks that contain friendships or cooperations between individuals, to navigational networks that contain geographical or web navigation, and many more. Understanding the forces driving behavior within these networks can be beneficial to improving the underlying network, for example, by generating new hyperlinks on websites, or by proposing new connections and friends on social networks. Previous approaches considered different hypotheses on a single network and evaluated which hypothesis fits best. These hypotheses can represent human intuition and expert opinions or be based on previous insights. In this work, we extend these approaches to enable the comparison of a single hypothesis between multiple networks. We unveil several issues of naive approaches that potentially impact comparisons and lead to undesired results. Based on these findings, we propose a framework with five flexible components that allow addressing specific analysis goals tailored to the application scenario. We show the benefits and limits of our approach by applying it to synthetic data and several real-world datasets, including web navigation, bibliometric navigation, and geographic navigation. Our work supports practitioners and researchers with the aim of understanding similarities and differences in human behavior between environments.
Learning from Paradoxes
Authors: Bettini Alessandro 
Published: January 2024

AbstractGeorge Francis FitzGerald is well known to have proposed in 1889, three years before Lorentz, the (physical) contraction of bodies moving in the hypothetical ether, as an “explanation” the null result of the Michelson and Morley experiment. Less known is his proposal of an ether-drift experiment based on an electrostatic system. A simple charged condenser suspended by a wire would be subject to a torque due to the earth’s motion. The experiment was done by his pupil Trouton, with Noble, with null result. It was an important independent confirmation of the relativity principle, but it was substantially forgotten. It came back, under the form of a paradox, in the second half of the past century, usefully triggering an in-depth discussion on the electromagnetic energy and momentum flow in stationary systems, in which intuitively one thinks momentum should be zero, but it is not. The solution of the Trouton–Noble paradox, and similar ones, has led to a better understanding of the interplay between electromagnetic field and matter and to develop relevant examples for the university courses.
Functional properties of planktic microalgae determine their habitat selection
Authors: Görgényi Judit , T-Krasznai Enikő , Lukács Áron , Kókai Zsuzsanna , B-Béres Viktória , Várbíró Gábor , Ács Éva , Kiss Keve Tihamér , Tóthmérész Béla , Borics Gábor 
Published: January 2024

AbstractIn this study, we aim to investigate how the functional properties of microalgae help to delineate the major groups of aquatic habitats. Using functional trait-based and Reynolds’ functional group-based approaches similarities of the microalgal flora of all aquatic habitats occurring in Hungary were compared. The habitats covered the whole size spectrum of standing waters (10-2–108 m2) and water currents (watershed: 102–1011 m2), , limnological and chemical properties. Both functional trait-based and functional group-based habitat classifications overrode the hydromorphology-based typology, however, functional group-based clusters showed closer resemblance to limnological-hydromorphological types than clusters created by trait-based approaches both for qualitative and quantitative data. Most of the aquatic habitats that have similar limnological characteristics showed resemblance in the functional properties of their microflora. Rivers and river-related habitats were the most diverse functionally. These were followed by standing waters with extended macrophyte coverage. The small, unique habitats displayed the lowest functional richness. The occurrence of several functional groups in some extreme habitats implies two alternative explanations: first, the habitat template of the groups is wider than defined in the original description; second, detailed information on the autecology of species assigned to a functional group necessitates the creation of new groups specific for the unique habitats.
GIS-based flash flooding susceptibility analysis and water management in arid mountain ranges: Safaga Region, Red Sea Mountains, Egypt
Authors: El-Rayes Ahmed E. , Arnous Mohamed O. , Helmy Ahmed M. 
Published: January 2024

AbstractThe Safaga Region (SR) is part of the Red Sea mountain range in Egypt. Catastrophic flash flooding is now an inescapable event, wreaking havoc and causing massive loss of life and property. The majority of the floodwater, however, has been wasted as runoff to the Red Sea, which, if used wisely, could meet a fraction of the water demands for a variety of applications in this area. The current work aims to use GIS techniques to integrate remote sensing data for evaluating, mitigating, and managing flash floods in SR. The data set comprised Tropical Rainfall Measuring Mission (TRMM) thematic rainfall data, 1:50,000 scale topographical map sheets, geological maps, the ASTER Digital Elevation Model (ASTER GDEM), Landsat 7 Enhanced Thematic Mapper” (ETM7+), and Landsat 8 Operational Land Imager. The flash flood risk model of SR is developed using ArcGIS-10.3 geoprocessing tools integrating all the causal factors thematic maps. The final flood risk model for the SR suggests that 57% of the total basins in the SR are at high risk of flooding. Almost 38% of all basins are at moderate flood risk. The remaining 5% of basins are less prone to flooding. Flood-prone zones were identified, suitable dam-building sites were located, and extremely probable areas for water recharge were recognized. On the basis of reliable scientific data, structural and non-structural mitigation strategies that might reduce the damage susceptibility, alleviate the sensitivity of the flash flood, and best utilize its water supply were recommended.
Atrophy patterns in hippocampus and amygdala subregions of depressed patients with Parkinson's disease
Authors: Qu Mingrui , Gao Bingbing , Jiang Yuhan , Li Yuan , Pei Chenhui , Xie Lizhi , Zhang Yukun , Song Qingwei , Miao Yanwei 
Published: January 2024

AbstractWe aimed to explore the subregional atrophy patterns of the amygdala and hippocampus in Parkinson's disease (PD) with depression and their correlation with the severity of the depressive symptom. MRI scans were obtained for 34 depressed PD patients (DPD), 22 nondepressed PD patients (NDPD), and 28 healthy controls (HC). Amygdala and hippocampal subregions were automatically segmented, and the intergroup volume difference was compared. The relationships between the volumes of the subregions and depression severity were investigated. Logistic analysis and Receiver operator characteristic curve were used to find independent predictors of DPD. Compared with the HC group, atrophy of the bilateral lateral nucleus, left accessory basal nucleus, right cortical nucleus, right central nucleus, and right medial nucleus subregions of the amygdala were visible in the DPD group, while the right lateral nucleus subregion of the amygdala was smaller in the DPD group than in the NDPD group. The DPD group showed significant atrophy in the left molecular layer, left GC-DG, left CA3, and left CA4 subregions compared with the HC group for hippocampal subregion volumes. Also, the right lateral nuclei volume and disease duration were independent predictors of DPD. To sum up, DPD patients showed atrophy in multiple amygdala subregions and left asymmetric hippocampal subregions. The decreased amygdala and hippocampal subregion volumes were correlated with the severity of depressive symptoms. The volume of right lateral nuclei and disease duration could be used as a biomarker to detect DPD.
Current Percutaneous Approaches to Treat Mitral Valve Regurgitation
Authors: Wunderlich Nina C. , Shechter Alon , Swaans Martin J. , Lehmann Ralf , Siegel Robert J. 
Published: January 2024

Abstract
Purpose of review
In recent years, our understanding of mitral regurgitation and its management has evolved substantially. In particular, as percutaneous mitral valve interventions have proven safe and effective, it has become possible to offer expanded therapeutic options to patients who are deemed inoperable or at high surgical risk. This review provides an overview of currently available transcatheter mitral valve interventions and summarizes recently published findings that may allow for better risk stratification, patient selection, and procedural safety and efficacy.

Recent findings
In the last 1–2 years, numerous studies have provided important insights that help to better characterize patients in clinical practice and to select them more optimally for specific interventional mitral valve procedures.

Summary
The evolution of percutaneous MV therapy has been substantial and extremely beneficial for patient care. Nonetheless, this is an area underdevelopment and newer or enhanced devices are likely to emerge in the future.
Application of a GIS-Based Hydrological Model to Predict Surface Wetness of Blanket Bogs
Authors: Mackin Francis , Flynn Raymond , Fernandez-Valverde Fernando 
Published: January 2024

AbstractUnderstanding hydrological processes operating on relatively intact blanket bogs provides a scientific basis for establishing achievable restoration targets for damaged sites. A GIS-based hydrological model, developed to assess restoration potential of Irish raised bogs, was adapted and applied to four relatively intact blanket bogs in Ireland. The Modified Flow Accumulation Capacity (MFAC) model utilised high-resolution topographic data to predict surface wetness, based on climatic conditions, contributing catchment and local surface slope. Modifications to MFAC parameters aimed to account for differences in hydrological processes between raised bogs and blanket bogs. Application of a climatic correction factor accounted for variations in effective rainfall between the four study sites, while monitoring of water table levels indicated a log-linear relationship between MFAC values and summer water table levels and range of water table fluctuations. Deviations from the observed relationship between MFAC and water table levels were associated with hydrological pressures, such as artificial drainage or the occurrence of subsurface macropores (peat pipes), which further lowered summer water tables. Despite being effective as a predictor of relative surface wetness, the relationship between MFAC and ecological variables such as Sphagnum spp. cover proved poor, pointing to the impact of past activities and damage caused by anthropogenic pressures. Findings demonstrated MFAC as an effective tool in predicting surface wetness within blanket bog-covered landscapes, thus proving useful to peatland practitioners in planning and prioritising areas for restoration.
Reasoning Disaster Chains with Bayesian Network Estimated Under Expert Prior Knowledge
Authors: Huang Lida , Chen Tao , Deng Qing , Zhou Yuli 
Published: January 2024

AbstractWith the acceleration of global climate change and urbanization, disaster chains are always connected to artificial systems like critical infrastructure. The complexity and uncertainty of the disaster chain development process and the severity of the consequences have brought great challenges to emergency decision makers. The Bayesian network (BN) was applied in this study to reason about disaster chain scenarios to support the choice of appropriate response strategies. To capture the interacting relationships among different factors, a scenario representation model of disaster chains was developed, followed by the determination of the BN structure. In deriving the conditional probability tables of the BN model, we found that, due to the lack of data and the significant uncertainty of disaster chains, parameter learning methodologies based on data or expert knowledge alone are insufficient. By integrating both sample data and expert knowledge with the maximum entropy principle, we proposed a parameter estimation algorithm under expert prior knowledge (PEUK). Taking the rainstorm disaster chain as an example, we demonstrated the superiority of the PEUK-built BN model over the traditional maximum a posterior (MAP) algorithm and the direct expert opinion elicitation method. The results also demonstrate the potential of our BN scenario reasoning paradigm to assist real-world disaster decisions.