bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypophosphatemia attenuates improvements in vitality after intravenous iron treatment in patients with inflammatory bowel disease
Authors: Bjorner J. B. , Kennedy N. , Lindgren S. , Pollock R. F. 
Published: June 2024

Abstract
Purpose
Iron deficiency anemia is common in people with inflammatory bowel disease (IBD), causing deterioration in quality of life, which can be reversed by treatment that increases iron stores and hemoglobin levels. The present post hoc analyses estimate health state utility values for patients with IBD after treatment with ferric derisomaltose or ferric carboxymaltose and evaluate the health domains driving the changes.

Methods
SF-36v2 responses were recorded at baseline and day 14, 35, 49, and 70 from 97 patients enrolled in the randomized, double-blind, PHOSPHARE-IBD trial (ClinicalTrials.gov ID: NCT03466983), in which patients with IBD across five European countries were randomly allocated to either ferric derisomaltose or ferric carboxymaltose. Changes in SF-36v2 scale scores and SF-6Dv2 health utility values were analyzed by mixed models.

Results
In both treatment arms, SF-6Dv2 utility values and all SF-36v2 scale scores, except Bodily Pain, improved significantly (p =  < 0.0001). The improvement in SF-6Dv2 utility values showed no significant treatment group difference. The improvement in utility values was completely explained by improvement in Vitality scores. Vitality scores showed significantly larger improvement with ferric derisomaltose versus ferric carboxymaltose (p = 0.026). Patients with the smallest decrease in phosphate had significantly larger improvements in Vitality scores at each time point (p =  < 0.05 for all comparisons) and overall (p = 0.0006).

Conclusions
Utility values improved significantly with intravenous iron treatment. Improvement in utility values was primarily driven by Vitality scores, which showed significantly greater improvement in the ferric derisomaltose arm. Smaller decreases in phosphate were associated with significantly higher Vitality scores, suggesting that quality of life improvement is attenuated by hypophosphatemia. The utility values can inform future cost-utility analysis.
Environmental behaviour of iron and steel slags in coastal settings
Authors: Riley Alex L. , Cameron James , Burke Ian T. , Onnis Patrizia , MacDonald John M. , Gandy Catherine J. , Crane Richard A. , Byrne Patrick , Comber Sean , Jarvis Adam P. , Hudson-Edwards Karen A. , Mayes William M. 
Published: June 2024

AbstractIron and steel slags have a long history of both disposal and beneficial use in the coastal zone. Despite the large volumes of slag deposited, comprehensive assessments of potential risks associated with metal(loid) leaching from iron and steel by-products are rare for coastal systems. This study provides a national-scale overview of the 14 known slag deposits in the coastal environment of Great Britain (those within 100 m of the mean high-water mark), comprising geochemical characterisation and leaching test data (using both low and high ionic strength waters) to assess potential leaching risks. The seaward facing length of slag deposits totalled at least 76 km, and are predominantly composed of blast furnace (iron-making) slags from the early to mid-20th Century. Some of these form tidal barriers and formal coastal defence structures, but larger deposits are associated with historical coastal disposal in many former areas of iron and steel production, notably the Cumbrian coast of England. Slag deposits are dominated by melilite phases (e.g. gehlenite), with evidence of secondary mineral formation (e.g. gypsum, calcite) indicative of weathering. Leaching tests typically show lower element (e.g. Ba, V, Cr, Fe) release under seawater leaching scenarios compared to deionised water, largely ascribable to the pH buffering provided by the former. Only Mn and Mo showed elevated leaching concentrations in seawater treatments, though at modest levels (<3 mg/L and 0.01 mg/L, respectively). No significant leaching of potentially ecotoxic elements such as Cr and V (mean leachate concentrations <0.006 mg/L for both) were apparent in seawater, which micro-X-Ray Absorption Near Edge Structure (μXANES) analysis show are both present in slags in low valence (and low toxicity) forms. Although there may be physical hazards posed by extensive erosion of deposits in high-energy coastlines, the data suggest seawater leaching of coastal iron and steel slags in the UK is likely to pose minimal environmental risk.
Universal Basic Income and Autonomous Work Motivation: Influences on Trajectories of Mental Health in Employees
Authors: Malinka Julia , Mitte Kristin , Ziegler Matthias 
Published: June 2024

AbstractThe study contributes to research on Universal Basic Income (UBI) by examining mental health trajectories in working individuals who received a monthly UBI payment of €1,000 for the duration of one year. We assessed data from 357 recipients of additional income provided by a crowdfunding association in Germany. Participants reported their life satisfaction, well-being, work motivation, and needs satisfaction at up to three semi-annual measurement occasions, the first of which was scheduled at the onset of UBI payments. Specifically, we focused on the effects of autonomous work motivation as (a) a predictor of change in life satisfaction and well-being and (b) a mediator between needs satisfaction at work and mental health. We conducted Latent Growth Curve Models (LGCM) and Random Intercept Cross-Lagged Panel Models (RI-CLPM). Results of the LGCM indicated growth in life satisfaction and well-being during UBI payment. Autonomous motivation was a robust, positive predictor of initial levels of life satisfaction and well-being, both as time-invariant covariate (TIC) and time-varying covariate (TVC). Moreover, low initial autonomous motivation was associated with greater increase of life satisfaction and well-being. Using a RI-CLPM, we found strong support for the mediating effect of autonomous motivation. Furthermore, gender and income were significant predictors of initial life satisfaction and well-being in most of our models. Women and low-income earners tended to report lower levels of life satisfaction and well-being. The results are discussed focusing on the role of autonomous motivation for psychological health in the context of UBI and occupational health promotion more generally.
Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
Authors: Kazemi Farzin , Asgarkhani Neda , Shafighfard Torkan , Jankowski Robert , Yoo Doo-Yeol 
Published: June 2024

Abstract
In recent years, fiber-reinforced polymers (FRP) in reinforced concrete (RC) members have gained significant attention due to their exceptional properties, including lightweight construction, high specific strength, and stiffness. These attributes have found application in structures, infrastructures, wind power equipment, and various advanced civil products. However, the production process and the extensive testing required for assessing their suitability incur significant time and cost. The emergence of Industry 4.0 has presented opportunities to address these drawbacks by leveraging machine learning (ML) methods. ML techniques have recently been used to forecast the properties and assess the importance of process parameters for efficient structural design and their broad applications. Given their wide range of applications, this work aims to perform a comprehensive analysis of ML algorithms used for predicting the mechanical properties of FRPs. The performance evaluation of various models was discussed, and a detailed analysis of their pros and cons was provided. Finally, the limitations that currently exist in these techniques were pinpointed, and suggestions were given to improve their prediction precision suitable for evaluating the mechanical properties of FRP components.
Explainable Histopathology Image Classification with Self-organizing Maps: A Granular Computing Perspective
Authors: Amato Domenico , Calderaro Salvatore , Lo Bosco Giosué , Rizzo Riccardo , Vella Filippo 
Published: June 2024

AbstractThe automatic analysis of histology images is an open research field where machine learning techniques and neural networks, especially deep architectures, are considered successful tools due to their abilities in image classification. This paper proposes a granular computing methodology for histopathological image classification. It is based on embedding tiles of histopathology images using deep metric learning, where a self-organizing map is adopted to generate the granular structure in this learned embedding space. The SOM enables the implementation of an explainable mechanism by visualizing a knowledge space that the experts can use to analyze and classify the new images. Additionally, it provides confidence in the classification results while highlighting each important image fragment, with the benefit of reducing the number of false negatives. An exemplary case is when an image detail is indicated, with small confidence, as malignant in an image globally classified as benign. Another implemented feature is the proposal of additional labelled image tiles sharing the same characteristics to specify the context of the output decision. The proposed system was tested using three histopathology image datasets, obtaining the accuracy of the state-of-the-art black-box methods based on deep learning neural networks. Differently from the methodologies proposed so far for the same purpose, this paper introduces a novel explainable method for medical image analysis where the advantages of the deep learning neural networks used to build the embedding space for the image tiles are combined with the intrinsic explainability of the granular process obtained using the clustering property of a self-organizing map.
Leveraging Extremal Dependence to Better Characterize the 2021 Pacific Northwest Heatwave
Authors: Zhang Likun , Risser Mark D. , Wehner Michael F. , O’Brien Travis A. 
Published: June 2024

AbstractIn late June, 2021, a devastating heatwave affected the US Pacific Northwest and western Canada, breaking numerous all-time temperature records by large margins and directly causing hundreds of fatalities. The observed 2021 daily maximum temperature across much of the U.S. Pacific Northwest exceeded upper bound estimates obtained from single-station temperature records even after accounting for anthropogenic climate change, meaning that the event could not have been predicted under standard univariate extreme value analysis assumptions. In this work, we utilize a flexible spatial extremes model that considers all stations across the Pacific Northwest domain and accounts for the fact that many stations simultaneously experience extreme temperatures. Our analysis incorporates the effects of anthropogenic forcing and natural climate variability in order to better characterize time-varying changes in the distribution of daily temperature extremes. We show that greenhouse gas forcing, drought conditions and large-scale atmospheric modes of variability all have significant impact on summertime maximum temperatures in this region. Our model represents a significant improvement over corresponding single-station analysis, and our posterior medians of the upper bounds are able to anticipate more than 96% of the observed 2021 high station temperatures after properly accounting for extremal dependence. Supplementary materials accompanying this paper appear online.
M4X3 MXenes: Application in Energy Storage Devices
Authors: Hussain Iftikhar , Arifeen Waqas Ul , Khan Shahid Ali , Aftab Sikandar , Javed Muhammad Sufyan , Hussain Sajjad , Ahmad Muhammad , Chen Xi , Zhao Jiyun , Rosaiah P. , Fawy Khaled Fahmi , Younis Adnan , Sahoo Sumanta , Zhang Kaili 
Published: June 2024

AbstractMXene has garnered widespread recognition in the scientific community due to its remarkable properties, including excellent thermal stability, high conductivity, good hydrophilicity and dispersibility, easy processability, tunable surface properties, and admirable flexibility. MXenes have been categorized into different families based on the number of M and X layers in Mn+1Xn, such as M2X, M3X2, M4X3, and, recently, M5X4. Among these families, M2X and M3X2, particularly Ti3C2, have been greatly explored while limited studies have been given to M5X4 MXene synthesis. Meanwhile, studies on the M4X3 MXene family have developed recently, hence, demanding a compilation of evaluated studies. Herein, this review provides a systematic overview of the latest advancements in M4X3 MXenes, focusing on their properties and applications in energy storage devices. The objective of this review is to provide guidance to researchers on fostering M4X3 MXene-based nanomaterials, not only for energy storage devices but also for broader applications.
Multifunctional MXene/Carbon Nanotube Janus Film for Electromagnetic Shielding and Infrared Shielding/Detection in Harsh Environments
Authors: Hassan Tufail , Iqbal Aamir , Yoo Byungkwon , Jo Jun Young , Cakmakci Nilufer , Naqvi Shabbir Madad , Kim Hyerim , Jung Sungmin , Hussain Noushad , Zafar Ujala , Cho Soo Yeong , Jeong Seunghwan , Kim Jaewoo , Oh Jung Min , Park Sangwoon , Jeong Youngjin , Koo Chong Min 
Published: June 2024

AbstractMultifunctional, flexible, and robust thin films capable of operating in demanding harsh temperature environments are crucial for various cutting-edge applications. This study presents a multifunctional Janus film integrating highly-crystalline Ti3C2Tx MXene and mechanically-robust carbon nanotube (CNT) film through strong hydrogen bonding. The hybrid film not only exhibits high electrical conductivity (4250 S cm−1), but also demonstrates robust mechanical strength and durability in both extremely low and high temperature environments, showing exceptional resistance to thermal shock. This hybrid Janus film of 15 μm thickness reveals remarkable multifunctionality, including efficient electromagnetic shielding effectiveness of 72 dB in X band frequency range, excellent infrared (IR) shielding capability with an average emissivity of 0.09 (a minimal value of 0.02), superior thermal camouflage performance over a wide temperature range (− 1 to 300 °C) achieving a notable reduction in the radiated temperature by 243 °C against a background temperature of 300 °C, and outstanding IR detection capability characterized by a 44% increase in resistance when exposed to 250 W IR radiation. This multifunctional MXene/CNT Janus film offers a feasible solution for electromagnetic shielding and IR shielding/detection under challenging conditions.
The Development of a New Model of Educational Leadership: Leadership for Teacher Flourishing
Authors: Granville-Chapman Katy , Lee Matthew T. , Ritchie-Dunham James 
Published: June 2024

AbstractThis paper contributes to a broader movement in which the telos of leadership is flourishing, and the primary role of a leader is to promote the flourishing of their team members through creating a loving environment. In support of this, we propose a new perspective on, and associated model, of educational leadership: ‘leadership for teacher flourishing’ (LFTF). This model was developed through a literature review and a mixed methods research project across 78 British schools with collaborative and participatory elements which asked how school leaders could improve the flourishing of teachers. The quantitative and qualitative findings suggested that key factors in enabling teachers to flourish, and therefore incorporated into the model ‘LFTF’, were positive relationships; opportunities for growth; positive impact on subjective wellbeing; and increasing teachers’ sense of meaning at work. The ways leaders could impact these factors were reported as: being supportive and compassionate; being trustworthy; giving teachers autonomy; enabling teachers to grow; being appreciative and focusing on strengths; and enabling teachers to do meaningful work. It was also found that not only leaders could influence flourishing; teachers with no formal leadership role could also positively impact teacher flourishing. It is suggested that virtuous dispositions in leaders are required to ensure they are consistent in acting in ways that promote flourishing. We argue that this integration of virtue and a desire to promote flourishing is properly understood as love. The participatory and collaborative phase of the research showed that teachers wanted autonomy in deciding what would help them to flourish. The conclusion sets out the implications of this research for policy on the training and selection of school leaders, to improve not only the flourishing of teachers, but also pupils and communities.
Extended-spectrum beta-lactamase-producing Klebsiella pneumoniae and risk factors associated with high total bacterial count in bulk tank milk from dairy farms in Colombia
Authors: Campos Ángela-Sofía Ágredo , Akineden Ömer , Fernández-Silva Jorge A. , Ramírez-Vásquez Nicolás F. 
Published: June 2024

AbstractThe objective of the study was to evaluate the frequency and genetic characteristics of ESBL-producing Escherichia coli and Klebsiella spp. and the risk factors associated with a high total bacterial count in bulk tank milk samples of dairy farms in three municipalities of the Antioquia Department, Colombia. Fifteen samples were positive for E. coli and Klebsiella spp. Subsequent analysis of the 16 S rRNA gene sequences confirmed these isolates included E. coli (n = 3), K. oxytoca (n = 11), and K. pneumoniae (n = 1). None of the isolates was positive for ESBL identification by phenotypic methods, but the only the isolate of K. pneumoniae was positive for the blaSHV61 gene by sequence analysis. The antibiotic susceptibility evaluation for all Klebsiella spp. isolates identified resistance to fosfomycin (50%; 6/12) and ampicillin (100%; 12/12). While most of the herds maintain adequate hygienic quality, specific risk factors such as having more than 60 milking cows, frequent changes in milkers, milking in paddocks, and using a chlorinated product for pre-dipping have been identified as associated with a high total bacterial count > 100,000 CFU/mL in bulk tank milk. However, certain variables including the milker being the owner of the animals and the proper washing and disinfection of the milking machine contribute to maintain a high level of hygiene and quality in the raw milk stored in the tanks. In conclusion, the frequency of ESBL producers was relatively low, with only K. pneumoniae testing positive for the blaSHV ESBL type. The presence of these bacteria in milk tanks represents a potential risk to public health for consumers of raw milk and its derivatives.
Biotechnology and biofuels: paving the way towards a sustainable and equitable energy for the future
Authors: Nath Soumitra 
Published: June 2024

AbstractThis comprehensive review aims to explore and elucidate the pivotal role of biotechnology in biofuel production, specifically focusing on its contribution to enhancing sustainability, efficiency, and productivity in the energy sector. By examining various biotechnological approaches like genetic engineering, metabolic engineering, and synthetic biology, it seeks to provide insights into effectively harnessing biofuel generation processes, including the integration of machine learning and life cycle assessment for microalgae cultivation and harvesting. Additionally, it sheds light on the multifaceted implications surrounding biofuel production and consumption, addressing technological, ethical, social, and economic considerations. Through critical analysis of the advantages and challenges associated with biotechnology-driven biofuel development, it offers a balanced perspective on the true potential of biofuels as a viable, sustainable, and equitable energy source for the future. This examination provides a holistic analysis of the symbiotic relationship between biotechnology and biofuels, highlighting how advancements in biotechnological techniques can pave the way for a more sustainable and resilient energy future. By addressing both the promises and limitations of biotechnology in this context, it aims to contribute to informed decision-making and policy formulation to drive the transition toward a cleaner and more equitable energy paradigm.
Graphical Abstract
Impact of Spatial Variability in Zooplankton Grazing Rates on Carbon Export Flux
Authors: Meyjes S. A. , Petrik C. M. , Rohr T. , Cael B. B. , Mashayek A. 
Published: June 2024

AbstractThe biological carbon pump is a key controller of how much carbon is stored within the global ocean. This pathway is influenced by food web interactions between zooplankton and their prey. In global biogeochemical models, Holling Type functional responses are frequently used to represent grazing interactions. How these responses are parameterized greatly influences biomass and subsequent carbon export estimates. The half‐saturation constant, or k value, is central to the Holling functional response. Empirical studies show k can vary over three orders of magnitude, however, this variation is poorly represented in global models. This study derives zooplankton grazing dynamics from remote sensing products of phytoplankton biomass, resulting in global distribution maps of the grazing parameter k. The impact of these spatially varying k values on model skill and carbon export flux estimates is then considered. This study finds large spatial variation in k values across the global ocean, with distinct distributions for micro‐ and mesozooplankton. High half‐saturation constants, which drive slower grazing, are generally associated with areas of high productivity. Grazing rate parameterization is found to be critical in reproducing satellite‐derived distributions of small phytoplankton biomass, highlighting the importance of top‐down drivers for this size class. Spatially varying grazing dynamics decrease mean total carbon export by >17% compared to globally homogeneous dynamics, with increases in fecal pellet export and decreases in export from algal aggregates. This study highlights the importance of grazing dynamics to both community structure and carbon export, with implications for modeling marine carbon sequestration under future climate scenarios.
Along‐Track Resolution and Uncertainty of Altimeter‐Derived Wave Height and Sea Level: Re‐Defining the Significant Wave Height in Extreme Storms
Authors: De Carlo Marine , Ardhuin Fabrice 
Published: June 2024

AbstractSatellite altimeters are the most common source of wave measurement in phenomenal sea states, with significant wave heights exceeding 14 m. Unfortunately their data is still considered with skepticism, because there is usually no other data to verify the accuracy of the largest values. Here we investigate the self‐consistency of the measurement, and their small scale variability, in order to define an estimate of satellite altimeter precision. Using numerical simulations of ocean surfaces and the processing involved in satellite retracking, we find that wave groups are responsible for a variance in estimated altimeter wave heights that is proportional to the square of the spectral peakedness parameter and the significant wave height. Additional variance induced by speckle noise is proportional to the wave height. The effect of wave groups generally dominates in the most severe storms. This variability requires a relatively large scale smoothing or filtering to yield accurate wave height estimates. For example, the largest ever reported 1 s average significant wave height from altimeters sampled by Jason‐2 in the North Atlantic in 2011, at m, is now interpreted to correspond to a true wave height Hs = 18.5 ± 0.3 m. The difference between 20.1 and 18.5 m is mostly due to wave group contributions to the raw measurement. We argue that wave group effects should not be included in the definition of the significant wave height, just like the maximum wave height differs from the significant wave height.