bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plasma trimethylamine N-oxide (TMAO): associations with cognition, neuroimaging, and dementia
Authors: Yaqub Amber , Vojinovic Dina , Vernooij Meike W. , Slagboom P. Eline , Ghanbari Mohsen , Beekman Marian , van der Grond Jeroen , Hankemeier Thomas , van Duijn Cornelia M. , Ikram M. Arfan , Ahmad Shahzad 
Published: May 2024

AbstractBackgroundThe gut-derived metabolite Trimethylamine N-oxide (TMAO) and its precursors - betaine, carnitine, choline, and deoxycarnitine – have been associated with an increased risk of cardiovascular disease, but their relation to cognition, neuroimaging markers, and dementia remains uncertain.MethodsIn the population-based Rotterdam Study, we used multivariable regression models to study the associations between plasma TMAO, its precursors, and cognition in 3,143 participants. Subsequently, we examined their link to structural brain MRI markers in 2,047 participants, with a partial validation in the Leiden Longevity Study (n = 318). Among 2,517 participants, we assessed the risk of incident dementia using multivariable Cox proportional hazard models. Following this, we stratified the longitudinal associations by medication use and sex, after which we conducted a sensitivity analysis for individuals with impaired renal function.ResultsOverall, plasma TMAO was not associated with cognition, neuroimaging markers or incident dementia. Instead, higher plasma choline was significantly associated with poor cognition (adjusted mean difference: -0.170 [95% confidence interval (CI) -0.297;-0.043]), brain atrophy and more markers of cerebral small vessel disease, such as white matter hyperintensity volume (0.237 [95% CI: 0.076;0.397]). By contrast, higher carnitine concurred with lower white matter hyperintensity volume (-0.177 [95% CI: -0.343;-0.010]). Only among individuals with impaired renal function, TMAO appeared to increase risk of dementia (hazard ratio (HR): 1.73 [95% CI: 1.16;2.60]). No notable differences were observed in stratified analyses.ConclusionsPlasma choline, as opposed to TMAO, was found to be associated with cognitive decline, brain atrophy, and markers of cerebral small vessel disease. These findings illustrate the complexity of relationships between TMAO and its precursors, and emphasize the need for concurrent study to elucidate gut-brain mechanisms.
Deep learning system for malignancy risk prediction in cystic renal lesions: a multicenter study
Authors: He Quan-Hao , Feng Jia-Jun , Wu Ling-Cheng , Wang Yun , Zhang Xuan , Jiang Qing , Zeng Qi-Yuan , Yin Si-Wen , He Wei-Yang , Lv Fa-Jin , Xiao Ming-Zhao 
Published: May 2024

Abstract
Objectives
To develop an interactive, non-invasive artificial intelligence (AI) system for malignancy risk prediction in cystic renal lesions (CRLs).

Methods
In this retrospective, multicenter diagnostic study, we evaluated 715 patients. An interactive geodesic-based 3D segmentation model was created for CRLs segmentation. A CRLs classification model was developed using spatial encoder temporal decoder (SETD) architecture. The classification model combines a 3D-ResNet50 network for extracting spatial features and a gated recurrent unit (GRU) network for decoding temporal features from multi-phase CT images. We assessed the segmentation model using sensitivity (SEN), specificity (SPE), intersection over union (IOU), and dice similarity (Dice) metrics. The classification model’s performance was evaluated using the area under the receiver operator characteristic curve (AUC), accuracy score (ACC), and decision curve analysis (DCA).

Results
From 2012 to 2023, we included 477 CRLs (median age, 57 [IQR: 48–65]; 173 men) in the training cohort, 226 CRLs (median age, 60 [IQR: 52–69]; 77 men) in the validation cohort, and 239 CRLs (median age, 59 [IQR: 53–69]; 95 men) in the testing cohort (external validation cohort 1, cohort 2, and cohort 3). The segmentation model and SETD classifier exhibited excellent performance in both validation (AUC = 0.973, ACC = 0.916, Dice = 0.847, IOU = 0.743, SEN = 0.840, SPE = 1.000) and testing datasets (AUC = 0.998, ACC = 0.988, Dice = 0.861, IOU = 0.762, SEN = 0.876, SPE = 1.000).

Conclusion
The AI system demonstrated excellent benign-malignant discriminatory ability across both validation and testing datasets and illustrated improved clinical decision-making utility.

Critical relevance statement
In this era when incidental CRLs are prevalent, this interactive, non-invasive AI system will facilitate accurate diagnosis of CRLs, reducing excessive follow-up and overtreatment.

Key Points

The rising prevalence of CRLs necessitates better malignancy prediction strategies.

The AI system demonstrated excellent diagnostic performance in identifying malignant CRL.

The AI system illustrated improved clinical decision-making utility.

Graphical Abstract
Sampling the user controls in neural modeling of audio devices
Authors: Mikkonen Otto , Wright Alec , Välimäki Vesa 
Published: May 2024

AbstractThis work studies neural modeling of nonlinear parametric audio circuits, focusing on how the diversity of settings of the target device user controls seen during training affects network generalization. To study the problem, a large corpus of training datasets is synthetically generated using SPICE simulations of two distinct devices, an analog equalizer and an analog distortion pedal. A proven recurrent neural network architecture is trained using each dataset. The difference in the datasets is in the sampling resolution of the device user controls and in their overall size. Based on objective and subjective evaluation of the trained models, a sampling resolution of five for the device parameters is found to be sufficient to capture the behavior of the target systems for the types of devices considered during the study. This result is desirable, since a dense sampling grid can be impractical to realize in the general case when no automated way of setting the device parameters is available, while collecting large amounts of data using a sparse grid only incurs small additional costs. Thus, the result provides guidance for efficient collection of training data for neural modeling of other similar audio devices.
Key forecasts and prospects for green transition in the region of Central Asia beyond 2022
Authors: Filipović Sanja , Orlov Andrei , Panić Andrea Andrejević 
Published: May 2024

Abstract
Background
The transition to energy-sustainable systems is a globally accepted concept, but it is implemented with various degrees of success around the world. The aim of this paper is to determine the status of green transition in five Central Asian countries (Tajikistan, Turkmenistan, Uzbekistan, Kazakhstan, and the Kyrgyz Republic) that are among the highest energy consumers globally and the most vulnerable to climate change. Despite a notable improvement in living conditions across all countries over the past two decades, the region remains underdeveloped. Economic growth is based on the export of natural resources and remittance inflows, but the structure of the economy is monolithic.

Main findings
Upon analysing transition indicators for the period 2000–2020, no evidence of significant changes towards a sustainable energy transition is found. All countries in the region (except Uzbekistan) have recorded an increase in carbon emissions, while the carbon intensity of the energy mix is almost the same. While there has been visible progress in reducing energy intensity, the countries in the region remain among the most energy-intensive economies. Despite the region’s substantial potential for renewable energy production, it remains underutilized.

Conclusions
A multitude of varied problems accompanies the green transition in Central Asian countries. The energy market that has not yet been liberalised, along with significant subsidies and low energy tariffs, discourages investments in renewable energy sources and energy efficiency initiatives. A high level of corruption, rigid legislative and institutional infrastructure, and insufficient capital are additional factors that determine the speed, scope, and effectiveness of the green transition. Thus far, the primary focus in these countries has been on ensuring energy security. However, there has been a discernible surge in investments (particularly from China) in renewable energy projects. Although energy efficiency and climate change issues are formally defined, the energy transition goals are often declarative without an action plan that provides concrete steps in transition process. Strategic planing of economic development that includes all related sectors (not only the energy sector) and paying attention to socio-economic and environmental indicators of sustainable development are prerequisites for successfully implementating the energy transition in these countries.
Seasonal freeze‒thaw processes impact microbial communities of soil aggregates associated with soil pores on the Qinghai–Tibet Plateau
Authors: Wang Rui-Zhe , Hu Xia 
Published: May 2024

Abstract
Background
Seasonal freeze‒thaw (FT) processes alter soil formation and cause changes in soil microbial communities, which regulate the decomposition of organic matter in alpine ecosystems. Soil aggregates are basic structural units and play a critical role in microbial habitation. However, the impact of seasonal FT processes on the distribution of microbial communities associated with soil pores in different aggregate fractions under climate change has been overlooked. In this study, we sampled soil aggregates from two typical alpine ecosystems (alpine meadow and alpine shrubland) during the seasonal FT processes (UFP: unstable freezing period, SFP: stable frozen period, UTP: unstable thawing period and STP: stable thawed period). The phospholipid fatty acid (PLFA) method was used to determine the biomass of living microbes in different aggregate fractions.

Results
The microbial biomass of 0.25–2 mm and 0.053–0.25 mm aggregates did not change significantly during the seasonal FT process while the microbial biomass of > 2 mm aggregates presented a significant difference between the STP and UTP. Bacterial communities dominated the microbes in aggregates, accounting for over 80% of the total PLFAs. The microbial communities of soil aggregates in the surface layer were more sensitive to the seasonal FT process than those in other soil layers. In the thawing period, Gram positive bacteria (GP) was more dominant. In the freezing period, the ratio of Gram-positive to Gram-negative bacterial PLFAs (GP/GN) was low because the enrichment of plant litter facilitated the formation of organic matter. In the freezing process, pores of 30–80 μm (mesopores) favored the habitation of fungal and actinobacterial communities while total PLFAs and bacterial PLFAs were negatively correlated with mesopores in the thawing process.

Conclusions
The freezing process caused a greater variability in microbial biomass of different aggregate fractions. The thawing process increased the differences in microbial biomass among soil horizons. Mesopores of aggregates supported the habitation of actinobacterial and fungal communities while they were not conducive to bacterial growth. These findings provide a further comprehension of biodiversity and accurate estimation of global carbon cycle.
A Rasch-based validation of the University of Tehran English Proficiency Test (UTEPT)
Authors: Noroozi Shadi , Karami Hossein 
Published: May 2024

AbstractRecently, psychometricians and researchers have voiced their concern over the exploration of language test items in light of Messick’s validation framework. Validity has been central to test development and use; however, it has not received due attention in language tests having grave consequences for test takers. The present study sought to examine the validity of the University of Tehran English language proficiency test (UTEPT) using 6 aspects of Messick’s validation framework (i.e., content, structural, external, generalizability, substantive, and consequential). To examine each validity dimension, the Rasch model was considered. To this end, the data of 394 test takers who had taken the test in 2023 were cleaned and analyzed for the assumptions of the Rasch model and then for the 6 aforementioned validity aspects. The results indicated that the structural (i.e., unidimensionality), generalizability (i.e., measurement invariance), and substantive aspects held. However, the evidence for the content, external, and consequential aspects of validity was less definitive. The implications of the findings for the validity of the test, for the realm of language testing, and for item developers and item writers will be discussed.
Image of the five elements and prediction of the geothermal field based on gravity, magnetic and magnetotelluric data in the PanZ area
Authors: Zheng Guolei , Huang Jinshui , Zhai Peng , Wang Gang 
Published: May 2024

AbstractThere are two problems in the prediction of the geothermal field in the PanZ area: (1) the plane scopes have some debates, and (2) the vertical scopes need to be further ascertained. Faced with these two problems, a complete set of methods was developed and summarized, and the details are as follows: a geothermal field can be divided into five elements, i.e., heat source, fault channel, thermal reservoir, cap rock and water; then, they are interpreted and imaged with the help of gravity, magnetic and magnetotelluric (MT) data; and finally, according to the integrity of five elements and the correlation between them, geothermal fields are predicted. In the PanZ area, (1) the normalized vertical derivative of the total horizontal derivative of the Bouguer gravity anomaly was applied to identify the fault channels; (2) the water was recognized using the joint interpretation results from an integrated geophysical profile with gravity and MT data instead of a single MT result; (3) the cap rock was inverted with the Bouguer gravity anomaly, using the Parker–Oldenburg inversion method, and with the help of the MT anomaly in the integrated geophysical profile, the vertical distribution of the geothermal reservoir was further ascertained; and (4) the intermediate acid magmatic rock with radioactivity, i.e., a heat source, was identified with the residual magnetic anomaly, imaged using the magnetic forward formula of the cuboid. Finally, the two geothermal fields were predicted and outlined using the above methods. A comparison of the distributions of the geothermal gradient and the outlet water temperatures of the drill holes indicated that the predicted results are credible. To better understand the effect of the method of predicting the geothermal field, a 3D geological model was constructed from the inverted results using GOCAD software, and the operating mechanism of geothermal system was analyzed based on the migration, storage, heating and insulation of the water element in the other four elements. To determine the reason for the formation of the geothermal field, the geological evolution of four elements was discussed, except the water element.
Effects of variations in po river discharge on physical water characteristics and chlorophyll-a levels in the gulf of manfredonia
Authors: Babagolimatikolaei Javad 
Published: May 2024

AbstractRivers remarkably contribute to the transfer of fresh water and nutrients between land and marine ecosystems, underscoring their essential ecological role. The Po River contributes approximately one-third of the total freshwater discharge into the Adriatic Sea. Despite its importance, there is a lack of information regarding the impact of Po River discharge on the physical and biological characteristics of specific regions within the Adriatic Sea, such as the Gulf of Manfredonia. By using ocean model results and satellite data for 2014, 2015, 2016, and 2017, this study attempts to assess how Po River discharge fluctuations affect the Gulf’s physical properties and chlorophyll-a concentrations. We demonstrate here that river discharge, physical characteristics, and chlorophyll-a interact in complex ways within the Gulf of Manfredonia. The Gulf's temperature (correlation coefficient r = −0.33) and salinity (r = −0.38) are inversely correlated with Po River discharge, whereas sea level (r = 0.59) and vertical velocity (r = 0.54) are directly correlated to the discharge. In the Gulf, a seasonal anticyclonic eddy exhibits varying strength and shape throughout the summer and autumn, influenced by the fluctuation in Po River discharge. In December 2014, chlorophyll-a concentrations increased remarkably (over 10 mg m−3) following a remarkable rise in Po River discharges. However, there is a one-month time lag between the discharge increase and the subsequent rise in chlorophyll-a levels in the gulf.
Network pharmacology and molecular docking: combined computational approaches to explore the antihypertensive potential of Fabaceae species
Authors: Shahzadi Zainab , Yousaf Zubaida , Anjum Irfan , Bilal Muhammad , Yasin Hamna , Aftab Arusa , Booker Anthony , Ullah Riaz , Bari Ahmed 
Published: May 2024

AbstractHypertension is a major global public health issue, affecting quarter of adults worldwide. Numerous synthetic drugs are available for treating hypertension; however, they often come with a higher risk of side effects and long-term therapy. Modern formulations with active phytoconstituents are gaining popularity, addressing some of these issues. This study aims to discover novel antihypertensive compounds in Cassia fistula, Senna alexandrina, and Cassia occidentalis from family Fabaceae and understand their interaction mechanism with hypertension targeted genes, using network pharmacology and molecular docking. Total 414 compounds were identified; initial screening was conducted based on their pharmacokinetic and ADMET properties, with a particular emphasis on adherence to Lipinski's rules. 6 compounds, namely Germichrysone, Benzeneacetic acid, Flavan-3-ol, 5,7,3',4'-Tetrahydroxy-6, 8-dimethoxyflavon, Dihydrokaempferol, and Epiafzelechin, were identified as effective agents. Most of the compounds found non-toxic against various indicators with greater bioactivity score. 161 common targets were obtained against these compounds and hypertension followed by compound-target network construction and protein–protein interaction, which showed their role in diverse biological system. Top hub genes identified were TLR4, MMP9, MAPK14, AKT1, VEGFA and HSP90AA1 with their respective associates. Higher binding affinities was found with three compounds Dihydrokaempferol, Flavan-3-ol and Germichrysone, −7.1, −9.0 and −8.0 kcal/mol, respectively. The MD simulation results validate the structural flexibility of two complexes Flavan-MMP9 and Germich-TLR4 based on no. of hydrogen bonds, root mean square deviations and interaction energies. This study concluded that C. fistula (Dihydrokaempferol, Flavan-3-ol) and C. occidentalis (Germichrysone) have potential therapeutic active constituents to treat hypertension and in future novel drug formulation.
Graphical Abstract
Parents’ knowledge, perceptions and support around appropriate physical activity, screen time and sleep time levels for children
Authors: Howard Maree , Akhund Shahid A. 
Published: May 2024

Abstract
Background
Many governments worldwide have established guidelines regarding children’s physical activity and sedentary behaviors linked to positive health outcomes. While research has established low adherence to these guideline levels, it is unclear whether parents’ knowledge, perceptions, and support around these behaviors might be barriers to adherence.

Aims
This study examines parents’ knowledge and agreement with guideline levels of physical activity, screen time, and sleep time, as well as their support for these behaviors.

Methods
Parents of 5–12-year-old children who presented to a regional general practitioner (GP) office in New South Wales (NSW) responded to a survey regarding their child’s physical activity, screen, and sleep time, as well as what they believed to be guideline levels, their perceived ideal levels, and the levels of support they provide for each of these behaviors.

Results
Parents’ perceived ideal levels for their child’s physical activity and screen time were more ambitious than government levels and were consistent with sleep time guidelines. There were, however, few associations between parent support levels and children’s actual or perceived ideal levels of these behaviors.

Discussion
The findings suggest that parents’ perceptions of ideal levels of physical activity and sedentary behavior may not hinder adherence to government guidelines. However, inconsistent, or ineffective support strategies can constrain adherence and thus be a viable intervention target.
A Behavioral Perspective for Improving Exercise Adherence
Authors: André Nathalie , Grousset Marine , Audiffren Michel 
Published: May 2024

AbstractAdherence to exercise is a crucial aspect of behavioral changes related to exercise. However, current models fail to predict behavioral change, and exercise programs struggle to foster adherence. In this Current Opinion article, we defined adherence as a process linking behavior and attitude. More specifically, exercise adherence is the process by which people’s behaviors conform to their attitudes and vice versa. Behavioral change theories should be able to predict changes, transformations, and modifications of behaviors; however, this is not currently the case. Prediction models of behavior are mainly focused on how to predict behavioral changes by affecting attitudes; however, these models have not considered the target behavior as a facilitator of adherence. Herein, a behavioral perspective is considered in three directions: first, exercise is a therapeutic modality that has the potential to improve motivation; second, chronic exercise helps sustain effort over time and increase executive functions and willpower; and third, exercise is an active behavior that has the potential to facilitate attitude change.