bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of HIIT Interventions on Cardiorespiratory Fitness and Glycemic Parameters in Adults with Type 1 Diabetes: A Systematic Review and Meta-Analysis
Authors: Lazić Anja , Stanković Dušan , Trajković Nebojša , Cadenas-Sanchez Cristina 
Published: June 2024

Abstract
Background
Individuals with type 1 diabetes mellitus (T1DM) face impaired cardiorespiratory fitness and glycemic control, increasing the risk of cardiovascular complications. High-intensity interval training (HIIT) has emerged as a promising exercise modality with potential benefits for both aspects in this population.

Objectives
The primary aim was to investigate the effects of HIIT on cardiorespiratory fitness and glycemic parameters in patients with T1DM. The secondary aim was to examine the most effective HIIT protocol for cardiorespiratory fitness and glycemic parameters in patients with T1DM.

Design
Systematic review and meta-analysis.

Data Sources
Two major electronic databases (Web of Science and PubMed) were searched up to February 2024.

Eligibility Criteria for Selecting Studies
Randomized and non-randomized trials involving adult patients with T1DM, free of complications and other diseases examining the effects of HIIT (HIIT pre vs. post; HIIT vs. control group or HIIT vs. moderate-intensity continuous training (MICT)) on cardiorespiratory fitness and glycemic parameters were included.

Results
A total of ten studies met the inclusion criteria. The meta-analysis revealed a significant improvement in cardiorespiratory fitness following HIIT interventions (pre vs. post) in patients with T1DM (standardized mean difference (SMD) = 0.59, 95% confidence interval (CI) = 0.16 to 1, p = 0.01). Furthermore, HIIT (pre vs. post) was associated with significant improvements in 24-h mean glucose control (SMD = − 0.44, 95% CI = − 0.81 to − 0.06, p = 0.02), but the results (pre vs. post) failed to identify significant improvements in fasting glucose (SMD = − 0.26, 95% CI = − 0.78 to 0.24, p = 0.3) and glycated hemoglobin (HbA1C) values (SMD = − 0.28, 95% CI = − 0.61 to 0.05, p = 0.1). However, in comparison with a control group, HIIT showed significantly favorable effects on HbA1C (SMD = − 0.74, 95% CI = − 1.35 to − 0.14, p = 0.02). Finally, the meta-regression analysis did not find any moderating effect of any HIIT characteristics (i.e., intervention duration, session duration, work time, rest time, number of bouts, and intensity) on cardiorespiratory fitness and glycemic parameters.

Conclusion
Our systematic review and meta-analysis show that T1DM patients who performed a HIIT intervention significantly improved cardiorespiratory fitness and reduced their 24-h mean glucose levels, but not their HbA1C and fasting glucose. These findings support the application of HIIT interventions in T1DM patients. However, the guidelines for the most effective protocol remain unclear; hence, future studies are needed.
Why transfer fee systems improve market competition, and why the Bosman ruling was flawed
Authors: van der Burg Tsjalle 
Published: June 2024

AbstractOver the years competitive balance has decreased in many football competitions in Europe. This means that the number of clubs with a realistic chance of winning important prizes has declined. Consequently, there is less choice for the many consumers who want to watch, or become fan of, a club from their own country that can win important prices. Put differently, in many national consumer markets competition has decreased. Unfortunately, the legal profession has paid insufficient attention to the effect of decreasing competitive balance on competition in consumer markets. This is also relevant for the Bosman ruling. The ruling prohibited transfer fees for out-of-contract players. This has led to a decrease in competitive balance. Therefore, the ruling has decreased the competition in national consumer markets. However, in making the ruling the European Court of Justice fully neglected the possibility of such a decrease. While it did apply the hard law concerning the free movement of workers, and it did take account of the specific features of the sport and the need for competitive balance more specifically (even though this was not decisive in the end), it neglected hard competition law as regards the competition in consumer markets. If it had not done so the ruling might have been different, and better for the football fans.
Mediation role of interpersonal problems between insecure attachment and eating disorder psychopathology
Authors: Carfagno Marco , Barone Eugenia , Arsenio Eleonora , Bello Rosaria , Marone Luigi , Volpicelli Antonio , Cascino Giammarco , Monteleone Alessio Maria 
Published: June 2024

Abstract
Purpose
Although insecure attachment and interpersonal problems have been acknowledged as risk and maintaining factors of eating disorders (EDs), the mediating role of interpersonal problems between attachment style and ED psychopathology has been poorly explored. The purpose of this study was to investigate the mediating role of interpersonal problems between insecure attachment and ED psychopathology.

Methods
One-hundred-nine women with anorexia nervosa and 157 women with bulimia nervosa filled in the Eating Disorder Inventory-2 (EDI-2) and the Experiences in Close Relationships (ECR) revised scale to assess ED core symptoms and attachment styles, respectively. Interpersonal difficulties were evaluated by the Inventory of Interpersonal Problems (IIP-32). A mediator’s path model was conducted with anxious and avoidant attachment subscores as independent variables, ED core symptoms as dependent variables and interpersonal difficulties as mediators. The diagnosis was entered in the model as a confounding factor.

Results
The socially inhibited/avoidant interpersonal dimension was a mediator between avoidant attachment and the drive to thinness as well as between avoidant attachment and body dissatisfaction. An indirect connection was found between attachment-related anxiety and bulimic symptoms through the mediation of intrusive/needy score.

Conclusions
Social avoidance and intrusiveness mediate the relationships between avoidant and anxious attachment styles and ED psychopathology. These interpersonal problems may represent specific targets for psychotherapeutic treatments in individuals with EDs and insecure attachment.

Level of evidence
Level III: Evidence obtained from well-designed cohort or case–control analytic studies.
Gut microbiota and fecal volatilome profile inspection in metabolically healthy and unhealthy obesity phenotypes
Authors: Calabrese F. M. , Genchi V. A. , Serale N. , Celano G. , Vacca M. , Palma G. , Svelto M. , Gesualdo L. , De Angelis M. , Giorgino F. , Perrini S. 
Published: June 2024

Abstract
Background
People with metabolically healthy (MHO) and metabolically unhealthy obesity (MUO) differ for the presence or absence of cardio-metabolic complications, respectively.

Objective
Based on these differences, we are interested in deepening whether these obesity phenotypes could be linked to changes in microbiota and metabolome profiles. In this respect, the overt role of microbiota taxa composition and relative metabolic profiles is not completely understood. At this aim, biochemical and nutritional parameters, fecal microbiota, metabolome and SCFA compositions were inspected in patients with MHO and MUO under a restrictive diet regimen with a daily intake ranging from 800 to 1200 kcal.

Methods
Blood, fecal samples and food questionnaires were collected from healthy controls (HC), and an obese cohort composed of both MHO and MUO patients. Most impacting biochemical/anthropometric variables from an a priori sample stratification were detected by applying a robust statistics approach useful in lowering the background noise. Bacterial taxa and volatile metabolites were assessed by qPCR and gas chromatography coupled with mass spectrometry, respectively. A targeted GC–MS analyses on SCFAs was also performed.

Results
Instructed to follow a controlled and restricted daily calorie intake, MHO and MUO patients showed differences in metabolic, gut microbial and volatilome signatures. Our data revealed higher quantities of specific pro-inflammatory taxa (i.e., Desulfovibrio and Prevotella genera) and lower quantities of Clostridium coccoides group in MUO subset. Higher abundances in alkane, ketone, aldehyde, and indole VOC classes together with a lower amount of butanoic acid marked the faecal MUO metabolome.

Conclusions
Compared to MHO, MUO subset symptom picture is featured by specific differences in gut pro-inflammatory taxa and metabolites that could have a role in the progression to metabolically unhealthy status and developing of obesity-related cardiometabolic diseases. The approach is suitable to better explain the crosstalk existing among dysmetabolism-related inflammation, nutrient intake, lifestyle, and gut dysbiosis.
Time-dependent gas dynamic diffusion process in shale matrix: model development and numerical analysis
Authors: Yang Rui , Ma Depeng , Xie Shuli , Chen Tai , Ma Tianran , Sun Chao , Duan Zhichao 
Published: June 2024

AbstractGas diffusion is a pivotal process during shale gas recovery, which is determined by diffusion coefficient to a large extent. In previous studies, the gas diffusion coefficient is generally assumed as a constant. However, increasing experiments prove that the diffusion coefficient of shale gas is strongly time-dependent. Therefore, to perfect the theory of shale gas diffusion, this paper proposes a time-dependent diffusion model for shale gas, which incorporates time-dependent gas diffusion coefficient, composing of the bulk diffusion coefficient for free gas in organic and inorganic pores, as well as the surface diffusion coefficient for adsorbed gas in organic pores. To validate the accuracy of the new theory, we calibrate the theoretical results against experimental data, and the results show that they have strong correlation, and the time-dependent diffusion model is superior to classical model. Finally, the numerical analysis of gas dynamic diffusion process in shale matrix is conducted. The results show that at the end of diffusion, a large amounts of shale gas remain trapped in the matrix core due to the attenuation of gas diffusion coefficient. In addition, neglecting the time-dependent nature of gas diffusion in shale matrix leads to a significant overestimation of gas production.
Production and modifications of biochar to engineered materials and its application for environmental sustainability: a review
Authors: Ravindiran Gokulan , Rajamanickam Sivarethinamohan , Janardhan Gorti , Hayder Gasim , Alagumalai Avinash , Mahian Omid , Lam Su Shiung , Sonne Christian 
Published: June 2024

AbstractBiochar, a carbon-rich material produced from biomass waste through thermal conversion, holds great environmental promise. This article offers a comprehensive overview of the various feedstocks used in biochar production, the different types of thermal degradation processes, biochar characterization, properties, modifications to engineered materials, and their applications in the environment. The quality of biochar, including surface area, pore size and volume, and functional group formation, is significantly influenced by the specific conditions under which thermal conversion takes place. Each of the diverse processes employed to produce biochar yields a distinct set of properties in the final product. In recent years, biochar has gained widespread recognition and utilization in diverse fields such as wastewater treatment, carbon sequestration, reduction of greenhouse gas emissions, biogas production, catalysis in biofuel industries, construction, and soil enhancement. In summary, biochar is a promising environmental mitigation tool to achieve a sustainable environment. In addition to its benefits, the application of biochar presents several challenges, including the selection of feedstocks, methods of biochar production, modifications to biochar, the properties of biochar, and the specific applications of biochar. The current review summarizes factors that could lead to significant advancements in future applications.
Graphical Abstract
Predicting Deep Moonquake Source Regions Using Their Temporal and Spatial Patterns and Machine Learning
Authors: Majstorović Josipa , Lognonné Philippe , Kawamura Taichi , Panning Mark P. 
Published: June 2024

AbstractIn the near future, lunar exploration should be enhanced by deploying a new seismic station on the farside of the Moon, the Farside Seismic Suite (FSS), a package of two seismometers recently selected by NASA to fly on a commercial lander. The new data should provide us with new insights into Moon's seismic activity, its interior, and composition. To fully benefit from the new data, we need to take advantage of the data acquired during the Apollo missions. The problem of relating new and old data is complex due to the single‐station nature of the future deployment. In this study, we tackle this issue by developing a machine learning model in the context of the deep moonquake (DMQ) classification problem. The DMQs form the largest group of detected events from Apollo data, and their source regions have been located and are known to exhibit temporal and spatial patterns connected with the monthly lunar tidal periods. Therefore, we propose to utilize a machine learning (ML) algorithm named random forest to identify DMQs source regions without using waveform information and only using the lunar orbital parameters related to DMQs time occurrences. We show that ML models perform well (with an accuracy >70%) when they are trained to classify 4 or fewer different source regions. This approach gives us a good first location approximation of the DMQs source regions and opens up a new approach to their location estimate when captured by the future FSS single‐station seismometers.
Simulating Global Terrestrial Carbon and Nitrogen Biogeochemical Cycles With Implicit and Explicit Representations of Soil Microbial Activity
Authors: Wieder William R. , Hartman Melannie D. , Kyker‐Snowman Emily , Eastman Brooke , Georgiou Katerina , Pierson Derek , Rocci Katherine S. , Grandy A. Stuart 
Published: June 2024

AbstractNutrient limitation is widespread in terrestrial ecosystems. Accordingly, representations of nitrogen (N) limitation in land models typically dampen rates of terrestrial carbon (C) accrual, compared with C‐only simulations. These previous findings, however, rely on soil biogeochemical models that implicitly represent microbial activity and physiology. Here we present results from a biogeochemical model testbed that allows us to investigate how an explicit versus implicit representation of soil microbial activity, as represented in the MIcrobial‐MIneral Carbon Stabilization (MIMICS) and Carnegie‐Ames‐Stanford Approach (CASA) soil biogeochemical models, respectively, influence plant productivity, and terrestrial C and N fluxes at initialization and over the historical period. When forced with common boundary conditions, larger soil C pools simulated by the MIMICS model reflect longer inferred soil organic matter (SOM) turnover times than those simulated by CASA. At steady state, terrestrial ecosystems experience greater N limitation when using the MIMICS‐CN model, which also increases the inferred SOM turnover time. Over the historical period, however, warming‐induced acceleration of SOM decomposition over high latitude ecosystems increases rates of N mineralization in MIMICS‐CN. This reduces N limitation and results in faster rates of vegetation C accrual. Moreover, as SOM stoichiometry is an emergent property of MIMICS‐CN, we highlight opportunities to deepen understanding of sources of persistent SOM and explore its potential sensitivity to environmental change. Our findings underscore the need to improve understanding and representation of plant and microbial resource allocation and competition in land models that represent coupled biogeochemical cycles under global change scenarios.
Multiple omics levels of chronic lymphocytic leukemia
Authors: Turk Aleksander , Čeh Eva , Calin George A. , Kunej Tanja 
Published: June 2024

AbstractChronic lymphocytic leukemia (CLL) is a lymphoproliferative malignancy characterized by the proliferation of functionally mature but incompetent B cells. It is the most prevalent type of leukemia in Western populations, accounting for approximately 25% of new leukemia cases. While recent advances, such as ibrutinib and venetoclax treatment have improved patient outlook, aggressive forms of CLL such as Richter transformation still pose a significant challenge. This discrepancy may be due to the heterogeneity of factors contributing to CLL development at multiple -omics levels. However, information on the omics of CLL is fragmented, hindering multi-omics-based research into potential treatment options. To address this, we aggregated and presented a selection of important aspects of various omics levels of the disease in this review. The purpose of the present literature analysis is to portray examples of CLL studies from different omics levels, including genomics, epigenomics, transcriptomics, epitranscriptomics, proteomics, epiproteomics, metabolomics, glycomics and lipidomics, as well as those identified by multi-omics approaches. The review includes the list of 102 CLL-associated genes with relevant genomics information. While single-omics studies yield substantial and useful data, they omit a significant level of complex biological interplay present in the disease. As multi-omics studies integrate several different layers of data, they may be better suited for complex diseases such as CLL and have thus far yielded promising results. Future multi-omics studies may assist clinicians in improved treatment choices based on CLL subtypes as well as allow the identification of novel biomarkers and targets for treatments.
Enhancing mitochondrial proteolysis alleviates alpha-synuclein-mediated cellular toxicity
Authors: Zhang Xi , Ruan Linhao , Wang Hu , Zhu Jin , Li Taibo , Sun Gordon , Dong Yi , Wang Yuhao , Berreby Gil , Shay Ashley , Chen Rong , Ramachandran Sreekumar , Dawson Valina L. , Dawson Ted M. , Li Rong 
Published: June 2024

AbstractParkinson’s disease (PD) is a progressive neurodegenerative disease characterized by mitochondrial dysfunction and accumulation of alpha-synuclein (α-Syn)-containing protein aggregates known as Lewy bodies (LB). Here, we investigated the entry of α-Syn into mitochondria to cause mitochondrial dysfunction and loss of cellular fitness in vivo. We show that α-Syn expressed in yeast and human cells is constitutively imported into mitochondria. In a transgenic mouse model, the level of endogenous α-Syn accumulation in mitochondria of dopaminergic neurons and microglia increases with age. The imported α-Syn is degraded by conserved mitochondrial proteases, most notably NLN and PITRM1 (Prd1 and Cym1 in yeast, respectively). α-Syn in the mitochondrial matrix that is not degraded interacts with respiratory chain complexes, leading to loss of mitochondrial DNA (mtDNA), mitochondrial membrane potential and cellular fitness decline. Importantly, enhancing mitochondrial proteolysis by increasing levels of specific proteases alleviated these defects in yeast, human cells, and a PD model of mouse primary neurons. Together, our results provide a direct link between α-synuclein-mediated cellular toxicity and its import into mitochondria and reveal potential therapeutic targets for the treatment of α-synucleinopathies.
Smartphone-based study reminders can be a double-edged sword
Authors: Nobbe Lea , Breitwieser Jasmin , Biedermann Daniel , Brod Garvin 
Published: June 2024

AbstractReminders are a popular feature in smartphone apps designed to promote desirable behaviors that are best performed regularly. But can they also promote students’ regular studying? In the present study with 85 lower secondary school students aged 10–12, we combined a smartphone-based between- and within-person experimental manipulation with logfile data of a vocabulary learning app. Students were scheduled to receive reminders on 16 days during the 36-day intervention period. Findings suggest that reminders can be a double-edged sword. The within-person experimental manipulation allowed a comparison of study probability on days with and without reminders. Students were more likely to study on days they received a reminder compared to days when they did not receive a reminder. However, when compared to a control group that never received reminders, the effect was not due to students studying more frequently on days with reminders. Instead, they studied less frequently on days without reminders than students in the control group. This effect increased over the study period, with students becoming increasingly less likely to study on days without reminders. Taken together, these results suggest a detrimental side effect of reminders: students become overly reliant on them.
Holocene solar activity inferred from global and hemispherical cosmic-ray proxy records
Authors: Nilsson Andreas , Nguyen Long , Panovska Sanja , Herbst Konstantin , Zheng Minjie , Suttie Neil , Muscheler Raimund 
Published: June 2024

AbstractVariations in solar activity have been proposed to play an important role in recent and past climate change. To study this link on longer timescales, it is essential to know how the Sun has varied over the past millennia. Direct observations of solar variability based on sunspot numbers are limited to the past 400 years, and beyond this we rely on records of cosmogenic radionuclides, such as14C and10Be in tree rings and ice cores. Their atmospheric production rates depend on the flux of incoming galactic cosmic rays, which is modulated by Earth’s and the Sun’s magnetic fields, the latter being linked to solar variability. Here we show that accounting for differences in hemispherical production rates, related to geomagnetic field asymmetries, helps resolve so far unexplained differences in Holocene solar activity reconstructions. We find no compelling evidence for long-term variations in solar activity and show that variations in cosmogenic radionuclide production rates on millennial timescales and longer, including the 2,400-year Hallstatt cycle, are explained by variations in the geomagnetic field. Our results also suggest an on-average stronger dipole moment during the Holocene, associated with higher field intensities in the Southern Hemisphere.
The Lifespan Disparity Dataset: An open repository on inequality and polarization in length of life (1950–2021)
Authors: Jorda Vanesa , Niño-Zarazúa Miguel , Tejería-Martínez Mercedes 
Published: June 2024

AbstractMonitoring health is key for identifying priorities in public health planning and improving healthcare services. Life expectancy has conventionally been regarded as a valuable indicator to compare the health status of different populations. However, this measure is simply the mean of the distribution of the length of life and, as such, neglects individual disparities in health outcomes. In this paper, we use life tables from the UN World Population Prospects to develop the most comprehensive dataset of lifespan inequality and polarization for 258 countries and areas for the period 1950–2021. These extensive series on lifespan distributions provide access to crucial information for researchers, practitioners, and the general public, thus contributing to a better understanding of health differences within and between nations.