bluuebunny/crossref_metadata_2025_split huggingface dataset:
Backbone chemical shift and secondary structure assignments for mouse siderocalin
Authors: Moeller Johanna , Bozhanova Nina G. , Voehler Markus , Meiler Jens , Schoeder Clara T. 
Published: April 2024

AbstractThe lipocalin protein family is a structurally conserved group of proteins with a variety of biological functions defined by their ability to bind small molecule ligands and interact with partner proteins. One member of this family is siderocalin, a protein found in mammals. Its role is discussed in inflammatory processes, iron trafficking, protection against bacterial infections and oxidative stress, cell migration, induction of apoptosis, and cancer. Though it seems to be involved in numerous essential pathways, the exact mechanisms are often not fully understood. The NMR backbone assignments for the human siderocalin and its rat ortholog have been published before. In this work we describe the backbone NMR assignments of siderocalin for another important model organism, the mouse - data that might become important for structure-based drug discovery. Secondary structure elements were predicted based on the assigned backbone chemical shifts using TALOS-N and CSI 3.0, revealing a high content of beta strands and one prominent alpha helical region. Our findings correlate well with the known crystal structure and the overall conserved fold of the lipocalin family.
Robbed or Released by the Pandemic? The Dynamics of Integrating and Situating Musician Identity Learning
Authors: Malm Tobias , Lundin Anna Nørholm 
Published: April 2024

AbstractThe aim of this paper is to contribute to a better understanding of musician identity learning. Identity is a significant driving-force behind many artistic vocations. However, identity may also pose challenges such as vulnerability, burnout and conflict of commitment. The paper focuses on musician identity, based on interviews with classical and rock musicians during the COVID-19 pandemic. Analyses reveal that the musicians are either in integrating or situating musician identity learning, two different processes discussed as dynamically interrelated and depending on life situation. The paper argues that breaks of normality accentuate challenges stemming from musician identity and that the proposed learning processes are responses to those challenges, which is previously under-explored. The paper concludes that many musicians or other artistic practitioners likely struggle to de-centralize their identity in order to foster a sustainable vocational career and personal growth, and that temporary career breaks may provide necessary relief and learning space.
E-Watcher: insider threat monitoring and detection for enhanced security
Authors: Wei Zhiyuan , Rauf Usman , Mohsen Fadi 
Published: April 2024

AbstractInsider threats refer to harmful actions carried out by authorized users within an organization, posing the most damaging risks. The increasing number of these threats has revealed the inadequacy of traditional methods for detecting and mitigating insider threats. These existing approaches lack the ability to analyze activity-related information in detail, resulting in delayed detection of malicious intent. Additionally, current methods lack advancements in addressing noisy datasets or unknown scenarios, leading to under-fitting or over-fitting of the models. To address these, our paper presents a hybrid insider threat detection framework. We not only enhance prediction accuracy by incorporating a layer of statistical criteria on top of machine learning-based classification but also present optimal parameters to address over/under-fitting of models. We evaluate the performance of our framework using a real-life threat test dataset (CERT r4.2) and compare it to existing methods on the same dataset (Glasser and Lindauer 2013). Our initial evaluation demonstrates that our proposed framework achieves an accuracy of 98.48% in detecting insider threats, surpassing the performance of most of the existing methods. Additionally, our framework effectively handles potential bias and data imbalance issues that can arise in real-life scenarios.
The Neurovascular Unit Dysfunction in the Molecular Mechanisms of Epileptogenesis and Targeted Therapy
Authors: Liu Xiuxiu , Zhang Ying , Zhao Yanming , Zhang Qian , Han Feng 
Published: April 2024

AbstractEpilepsy is a multifaceted neurological syndrome characterized by recurrent, spontaneous, and synchronous seizures. The pathogenesis of epilepsy, known as epileptogenesis, involves intricate changes in neurons, neuroglia, and endothelium, leading to structural and functional disorders within neurovascular units and culminating in the development of spontaneous epilepsy. Although current research on epilepsy treatments primarily centers around anti-seizure drugs, it is imperative to seek effective interventions capable of disrupting epileptogenesis. To this end, a comprehensive exploration of the changes and the molecular mechanisms underlying epileptogenesis holds the promise of identifying vital biomarkers for accurate diagnosis and potential therapeutic targets. Emphasizing early diagnosis and timely intervention is paramount, as it stands to significantly improve patient prognosis and alleviate the socioeconomic burden. In this review, we highlight the changes and molecular mechanisms of the neurovascular unit in epileptogenesis and provide a theoretical basis for identifying biomarkers and drug targets.
CoNoS: synthetische Ko-Kulturen für Grundlagenforschung und Anwendung
Authors: Zuchowski Rico , Schito Simone , Noack Stephan , Baumgart Meike 
Published: April 2024

AbstractSynthetic bacterial communities are currently under intensive investigation. Using natural communities as models, we established the CoNoS (Communities of Niche-optimized Strains) approach to create synthetic communities composed of different strains of the same species. By combining CoNoS with adaptive laboratory evolution, we identified new amino acid production traits, thereby demonstrating the high potential for their use in basic research, and applied biotechnology.
Evaluation of Frost Tolerance in Sugar Beet Cultivars During Early Growth Stages
Authors: Kulan Engin Gökhan , Kaya Mehmet Demir 
Published: April 2024

AbstractLate spring frost is the most hazardous abiotic stress affecting the survival of sugar beet seedlings. Therefore, it is very important to identify frost-tolerant cultivars during the early seedling development stage. In the study, the physiological and morphological responses of ten sugar beet cultivars (Ernestina, Isabella, Orthega, Serenada, Kuno, Taurus, Tuna, Mohican, Rodeo, and Smılodon) to frost stress at different growth stages (V1.1, V2.1, and V3.1) were evaluated. Seedlings were exposed to − 3 °C for 2 h at all stages. Percent damage (%), leaf chlorophyll content (SPAD), leaf surface temperature (°C), electrolyte leakage (%), leaf relative water content (%), and turgidity loss (%) were examined. The results showed that higher damage percentages were observed in earlier growth stages of sugar beet, with recorded values of 29.7% in V1.1, 15.4% in V2.1, and 3.6% in V3.1. A great genotypic variation was observed among the cultivars; electrolyte leakage increased from 15.6% in control to 52.6% in frost stress, and higher electrolyte leakage was obtained from frost-stressed plants. The relative water content of leaves increased only at stage V2.1, although frost decreased turgor loss. Sugar beet showed sensitivity to frost in earlier seedling growth stages, but their tolerance levels increased in later growth stages. The study revealed that electrolyte leakage is a reliable indicator for identifying sugar beet cultivars that exhibit tolerance to frost stress during early development.
Spray pyrolysis-derived W-doped MoSe2/rGO paper-like microspheres: optimization of microstructure and mesostructure for enhanced lithium storage
Authors: Wang Wei , Chen Jun-Yu , Ouyang Jie , Yin Hong , Li Ao-Jie , Chen Liang , Huang Jun-Lin , Zhu Yu-Can , Li Gang-Yong , Hou Zhao-Hui 
Published: April 2024

AbstractTwo-dimensional MoSe2 is a promising candidate for lithium-ion battery anodes. However, its conductivity and lithium storage volumetric effect still need to be optimized. In this work, W-doped MoSe2/rGO paper-like microspheres are successfully prepared through ultrasonic spray pyrolysis, achieving optimization at both the microstructure and mesostructure to enhance the lithium storage performance of the material. Firstly, by utilizing the similar two-dimensional structure between MoSe2 and rGO, self-assembly is achieved through spray pyrolysis, resulting in a well-defined van der Waals heterostructure at the interface on the microscale, enhancing the electron and ion transfer capability of the composite. Secondly, the mesoscale paper-like microsphere morphology provides additional volume expansion buffering space. Moreover, W-doping not only increases the interlayer spacing of MoSe2 (0.73 nm), thereby reducing the diffusion resistance of Li+, but also allow for the modulation of the energy band structure of the material. Density functional theory (DFT) calculations confirm that W-doped MoSe2/rGO exhibits the narrowest bandgap (0.892 eV). Therefore, the composite demonstrates excellent lithium storage performance, maintaining a specific capacity of 732.9 mAh·g−1 after 300 cycles at a current density of 1 A·g−1.
Graphical abstract
Long-term equilibrium in electricity markets with renewables and energy storage only
Authors: Tarel Guillaume , Korpås Magnus , Botterud Audun 
Published: April 2024

AbstractIn this paper, we study the optimal generation mix in power systems where only two technologies are available: variable renewable energy (VRE) and electric energy storage (EES). By using a net load duration curve approach, we formulate a least-cost optimization model in which EES is only limited by its power capacity. We solve this problem analytically and find least-cost and market equilibrium conditions that lead to the optimal capacities of VRE and EES. We show that, mathematically, an electricity price structure that depends on the period of the year (i.e. EES charging or discharging, VRE curtailment, load shedding) and on investments costs leads to cost recovery for VRE and EES. We show that when EES is the marginal technology (either charging or discharging) the price must be non-zero. More specifically, the equilibrium prices during EES charge or discharge are functions of the EES and VRE fixed costs. We confirm our analytical findings using a numerical model. We argue that, although the system we study is hypothetical and simplified, our findings provide insights and research directions for how to recover fixed costs in a future electricity market based on VRE and EES only.
Cyclovirobuxine D inhibits hepatocellular carcinoma growth by inducing ferroptosis of hepatocellular carcinoma cells
Authors: Jiang Xinru , Li Hongdan , Liu Yang 
Published: April 2024

Abstract
Objective
Hepatocellular carcinoma (HCC) is one cancer with high death rates. Nowadays, there are no effective drugs to treat it. Cyclovirobuxine D (CVB-D) is the primary ingredient of the traditional Chinese medicine (TCM) Buxus microphylla. Here, we try to explore the impacts of CVB-D on human HCC cells and explain the potential mechanisms.

Methods
HepG2 and Huh-7 cells were used for our experiments. The cell viability and half inhibitory concentration (IC50) were detected by MTT assays. The apoptosis ratio was examined by Annexin V-FITC/7AAD staining and flow cytometry (FCM). The Fe2+ content was examined by ferrous ion content assays. The malondialdehyde (MDA) content was evaluated by lipid peroxidation MDA assays. The reactive oxygen species (ROS) level was examined by the DCFH-DA probe. The expression of apoptotic markers (Bax and Bcl-2) and ferroptosis-related proteins (GPX4 and FSP1) was detected by western blotting. The in vivo curative effect of CVB was explored using xenograft models established in C-NKG mice.

Results
The cell viability could be inhibited by CVB-D in HepG2 and Huh-7 cells. The IC50 value of CVB-D on HepG2 and Huh-7 cells are 91.19 and 96.29 µM at 48 h, and 65.60 and 72.80 µM at 72 h. FCM showed that the apoptosis rate was increased by CVB-D in HepG2 and Huh-7 cells. Next, ferrous ion content assays showed that the level of Fe2+ was increased by CVB-D in HepG2 and Huh-7 cells. Then, we found the level of MDA and ROS was increased by CVB-D. And the Fe2+ promotion by CVB-D could be reversed by Fer-1. Additionally, western blotting assays showed that the expression of GPX4 and FSP1 was inhibited by CVB-D in HepG2 and Huh-7 cells. Moreover, in vivo, CVB-D displayed excellent anticancer effects in HCC tumor-bearing C-NKG mice.

Conclusion
CVB-D suppresses the growth in HCC cells through ferroptosis.
The combined effect of MTHFR C677T and A1298C polymorphisms on the risk of digestive system cancer among a hypertensive population
Authors: He Qiangqiang , Wei Yaping , Zhu Hehao , Liang Qiongyue , Chen Ping , Li Shuqun , Song Yun , Liu Lishun , Wang Binyan , Xu Xiping , Dong Yuhan 
Published: April 2024

Abstract
Background and purpose
The enzyme methylenetetrahydrofolate reductase (MTHFR) plays a crucial role in directing folate species towards nucleotide synthesis or DNA methylation. The MTHFR polymorphisms C677T and A1298C have been linked to cancer susceptibility, but the evidence supporting this association has been equivocal. To investigate the individual and joint associations between MTHFR C677T, A1298C, and digestive system cancer in a Chinese hypertensive population, we conducted a population-based case–control study involving 751 digestive system cancer cases and one-to-one matched controls from the China H-type Hypertension Registry Study (CHHRS).

Methods
We utilized the conditional logistic regression model to evaluate multivariate odds ratios (ORs) and 95% confidence intervals (CIs) of digestive system cancer.

Results
The analysis revealed a significantly lower risk of digestive system cancer in individuals with the CT genotype (adjusted OR: 0.71; 95% CI 0.52, 0.97; P = 0.034) and TT genotype (adjusted OR: 0.57; 95% CI 0.40, 0.82; P = 0.003; P for trend = 0.003) compared to those with the 677CC genotype. Although A1298C did not show a measurable association with digestive system cancer risk, further stratification of 677CT genotype carriers by A1298C homozygotes (AA) and heterozygotes (AC) revealed a distinct trend within these subgroups.

Conclusion
These findings indicate a potential protective effect against digestive system cancer associated with the T allele of MTHFR C677T. Moreover, we observed that the presence of different combinations of MTHFR polymorphisms may contribute to varying susceptibilities to digestive system cancer.
Emerging trends in federated learning: from model fusion to federated X learning
Authors: Ji Shaoxiong , Tan Yue , Saravirta Teemu , Yang Zhiqin , Liu Yixin , Vasankari Lauri , Pan Shirui , Long Guodong , Walid Anwar 
Published: April 2024

AbstractFederated learning is a new learning paradigm that decouples data collection and model training via multi-party computation and model aggregation. As a flexible learning setting, federated learning has the potential to integrate with other learning frameworks. We conduct a focused survey of federated learning in conjunction with other learning algorithms. Specifically, we explore various learning algorithms to improve the vanilla federated averaging algorithm and review model fusion methods such as adaptive aggregation, regularization, clustered methods, and Bayesian methods. Following the emerging trends, we also discuss federated learning in the intersection with other learning paradigms, termed federated X learning, where X includes multitask learning, meta-learning, transfer learning, unsupervised learning, and reinforcement learning. In addition to reviewing state-of-the-art studies, this paper also identifies key challenges and applications in this field, while also highlighting promising future directions.
Characteristics of the Urban Heat Island in Dhaka, Bangladesh, and Its Interaction with Heat Waves
Authors: Tabassum Abeda , Park Kyeongjoo , Seo Jaemyeong Mango , Han Ji-Young , Baik Jong-Jin 
Published: April 2024

AbstractThis study examines the characteristics of the urban heat island (UHI) in Dhaka, the densely populated capital city of Bangladesh under the influence of the South Asian monsoon, and its interaction with heat waves. For this, meteorological data at Dhaka (urban) and Madaripur (rural) stations and reanalysis data for the period of 1995–2019 are used for analysis. Here, the UHI intensity is defined as the urban-rural difference in 2-m temperature, and a heat wave is defined as the phenomenon which persists for two or more consecutive days with the daily maximum 2-m temperature exceeding its 90th percentile. The UHI intensity in Dhaka is in an increasing trend over the past 25 years (0.21 °C per decade). The average UHI intensity in Dhaka is 0.48 °C. The UHI is strongest in winter (0.95 °C) and weakest in the monsoon season (0.23 °C). In all seasons, the UHI is strongest at 2100 LST. The average daily maximum UHI intensity in Dhaka is 2.15 °C. Through the multiple linear regression analysis, the relative importance of previous-day daily maximum UHI intensity (PER), wind speed, relative humidity (RH), and cloud fraction which affect the daily maximum UHI intensity is examined. In the pre-monsoon season, RH is the most important variable followed by PER. In the monsoon season, RH is the predominantly important variable. In the post-monsoon season and winter, PER is the most important variable followed by RH. The occurrence frequency of heat waves in Dhaka shows a statistically significant increasing trend in the monsoon season (5.8 days per decade). It is found that heat waves in Bangladesh are associated with mid-to-upper tropospheric anticyclonic-flow and high-pressure anomalies in the pre-monsoon season and low-to-mid tropospheric anticyclonic-flow and high-pressure anomalies in the monsoon season. Under heat waves, the UHI intensity is synergistically intensified in both daytime and nighttime (nighttime only) in the pre-monsoon (monsoon) season. The decreases in relative humidity and cloud fraction are favorable for the synergistic UHI-heat wave interaction.
Effect of in-hospital delay on acute appendicitis severity: does time really matter?
Authors: Agnesi Stefano , Mauro Di Lucca Gabriele , Benedetti Fabio , Fattori Luca , Degrate Luca , Roccamatisi Linda , Braga Marco , Ceresoli Marco 
Published: April 2024

AbstractAppendicitis is one of the most common abdominal emergencies. Evidence is controversial in determining if the in-hospital time delay to surgery can worsen the clinical presentation of appendicitis. This study aimed to clarify if in-hospital surgical delay significantly affected the proportion of complicated appendicitis in a large prospective cohort of patients treated with appendectomy for acute appendicitis. Patients were grouped into low, medium, and high preoperative risk for acute appendicitis based on the Alvarado scoring system. Appendicitis was defined as complicated in cases of perforation, abscess, or diffuse peritonitis. The primary outcome was correlation of in-hospital delay with the proportion of complicated appendicitis. The study includes 804 patients: 278 (30.4%) had complicated appendicitis and median time delay to surgery in low-, medium-, and high-risk group was 23.15 h (13.51–31.48), 18.47 h (10.44–29.42), and 13.04 (8.13–24.10) h, respectively. In-hospital delay was not associated with the severity of appendicitis or with the presence of postoperative complications. It appears reasonably safe to delay appendicectomy for acute appendicitis up to 24 h from hospital admission. Duration of symptoms was a predictor of complicated appendicitis and morbidity. Timing for appendicectomy in acute appendicitis should be calculated from symptoms onset rather than hospital presentation.
On Ulam stabilities of iterative Fredholm and Volterra integral equations with multiple time-varying delays
Authors: Tunç Osman , Tunç Cemil 
Published: April 2024

AbstractIn present study, we deal with nonlinear iterative Fredholm and Volterra integral equations (Fredholm and Volterra IEs) including variable time delays. We are interested here in the investigations of the uniqueness of solutions and Ulam type stabilities of that the iterative Fredholm and the Volterra IEs. The proofs of the new outcomes of the study with regard to these concepts are done in the light of the Banach fixed point theorem (Banach FPT) and the Bielecki metric. As for new contributions of the present study, here, first time we develop the relative outcomes that can be found in the literature to certain nonlinear iterative Fredholm and Volterra IEs including several variable time delays. Finally, a concrete example is introduced at the end of the study.
Financial intermediation and efficient risk sharing in two-period lived OLG models
Authors: Ritschel Paul , Wenzelburger Jan 
Published: April 2024

AbstractThis article investigates a two-period lived overlapping-generations (OLG) model that incorporates financial intermediation. A risk-neutral bank offers loan and deposit contracts that insure risk-averse agents against idiosyncratic income shocks. Agents prefer financial intermediation to capital markets if it provides efficient risk sharing. The analysis demonstrates that in any two-period lived OLG model in which productive capital is increasing in investment levels, financial intermediation, when implemented for the purpose of efficient risk sharing, cannot instigate business cycles or complex dynamics. The resulting dynamics is monotonic and qualitatively indistinguishable from the dynamics of the classical OLG model by Diamond (Am Econ Rev 55(5):1126–1150, 1965). Business cycles may only occur if banks offer inefficient contracts. Efficient contracts will, in general, not induce dynamically efficient growth paths.
A new 3D plastoelastohydrodynamic lubrication model for rough surfaces
Authors: You Shengyu , Tang Jinyuan , Wang Qiang 
Published: April 2024

AbstractPlastoelastohydrodynamic lubrication of rough surfaces (R-PEHL) is a cutting-edge area of research in interface fluid-structure coupling analysis. The existing R-PEHL model calculates the elastic-plastic deformation of rough surface by the Love equation in a semi-infinite space smooth surface, which deviates from the actual surface. Therefore, it is an innovative work to study the exact solution of elastic-plastic deformation of rough surface and its influence on the solution results of R-PEHL model. In this paper, a new contact calculation model of plastoelastohydrodynamic lubrication (PEHL) with three-dimensional (3D) rough surface is proposed by integrating numerical method of EHL and finite element method. The new model eliminates an original error introduced by the assumption of semi-infinite space in contact calculation, providing wide applicability and high accuracy. Under the given rough surfaces and working conditions, the study reveals that: (1) the oil film pressure calculated by the new model is lower than that of the smooth surface in semi-infinite space by 200–800 MPa; (2) the Mises stress of the new model is 2.5%–26.6% higher than that of the smooth surface in semi-infinite space; (3) compared with the semi-infinite space assumption, the rough surface plastic deformation of the new model is increased by 71%–173%, and the local plastic deformation singularity may appear under the semi-infinite space assumption; (4) the plastic deformation caused by the first contact cycle on the rough surface of the new model accounts for 66.7%–92.9% of the total plastic deformation, and the plastic deformation of the semi-infinite space accounts for 50%–83.3%. This study resolves the contradiction between the smooth surface assumption and the rough surface in the existing R-PEHL model, establishing a solid logic foundation for the accurate solution of R-PEHL model.