bluuebunny/crossref_metadata_2025_split huggingface dataset:
A systematic review of cross-patient approaches for EEG epileptic seizure prediction
Authors: Shafiezadeh Sina , Marco Duma Gian , Pozza Marco , Testolin Alberto 
Published: November 2024

Abstract

Objective: Seizure prediction could greatly improve the quality of life of people suffering from epilepsy. Modern prediction systems leverage artificial intelligence (AI) techniques to automatically analyze neurophysiological data, most commonly the electroencephalogram (EEG), in order to anticipate upcoming epileptic events. However, the performance of these systems is normally assessed using randomized splitting methods, which can suffer from data leakage and thus result in an optimistic evaluation. In this review, we systematically surveyed the available scientific literature looking for research approaches that adopted more stringent assessment methods based on patient-independent testing. Approach: We queried three scientific databases (PubMed, Scopus, and Web of Science), focusing on AI techniques based on non-invasive EEG recorded from human subjects. We first summarize a standardized signal processing pipeline that could be deployed for the development and testing of cross-patient seizure prediction systems. We then analyze the research work that meets our selection criteria. Main results: 21 articles adopted patient-independent validation methods, constituting only 4% of the published work in the entire field of epileptic seizure prediction. Among eligible articles, the most common approach to deal with cross-patient scenarios was based on source domain adaptation techniques, which allow to fine-tune the predictive model on a limited set of data recorded from a set of independent target patients. Significance: Overall, our review indicates that epileptic seizure prediction remains an extremely challenging problem and significant research efforts are still needed to develop automated systems that can be deployed in realistic clinical settings. Our review protocol is based on the preferred reporting items for systematic review and meta-analysis protocols 2020 guidelines for conducting systematic reviews, considering NHLBI and ROBIS tools to mitigate the risk of bias, and it was pre-registered in PROSPERO (registration number: CRD4202452317).
Health-related quality of life in living kidney donors participating in kidney exchange programmes
Authors: van de Laar Stijn C , Wiltschut Berwout W , Oudmaijer Chris A J , Muller Kelly , Massey Emma K , Porte Robert J , Dor Frank J M F , Minnee Robert C 
Published: November 2024

ABSTRACT

Background
Kidney exchange programmes (KEPs) have revolutionized living donor kidney transplantation (LDKT) by enabling transplants for patients with HLA- or ABO-incompatible donors. However, the implications for donors participating in KEPs, particularly regarding postoperative health-related quality of life (HRQoL), are not well elucidated. This study compares the HRQoL of donors participating in KEPs with donors donating directly (non-KEPs).

Methods
The study included 724 donors, with 121 in the KEP group and 603 in the non-KEP group. Outcomes were assessed using the mental component summary (MCS), physical component summary (PCS), EQ-5D-3L, MVI-20 score, and self-rated pain level. We used a mixed-effects regression model to assess differences between KEP and non-KEP over time, accounting for repeated measures within subjects.

Results
There was a significant temporary decline in both the MCS and PCS post-donation; however, these outcomes returned to pre-donation levels after an interval of 2 months. Donors participating in the KEP had higher PCS and MCS 1-year post-donation. Comparable results were observed in the self-assessed HRQoL using the EQ-5D-3L instrument, as well as in the fatigue scores measured by the MVI-20.

Conclusions
We found that participation in KEPs does not adversely affect donors' short- or long-term mental and physical HRQoL outcomes and that LDKT donors have HRQoL of pre-donation levels soon after donation. These insights are reassuring, indicating that donors participating in KEPs can expect HRQoL comparable to those who do not. This reinforces the viability of KEPs as a safe option for expanding LDKT and findings can inform patient and donor education.
Association between urinary heavy metal/trace element concentrations and kidney function: a prospective study
Authors: Xie Sisi , Perrais Maïwenn , Golshayan Déla , Wuerzner Gregoire , Vaucher Julien , Thomas Aurélien , Marques-Vidal Pedro 
Published: November 2024

ABSTRACT

Background
Chronic kidney disease (CKD) is an important public health problem. Although cross-sectional studies have identified many heavy metals/trace elements associated with reduced kidney function, prospective studies are needed to determine the pathogenic role of these elements in the development and progression of CKD.

Methods
To explore the association between baseline urinary heavy metal/trace element concentrations and long-term impaired kidney function (IKF)/CKD, as well as the incidence of rapid decline in kidney function in a population-based exploratory prospective study, with mean age 51.9 years at baseline whose urinary trace elements concentrations have been determined by inductively coupled plasma mass spectrometry. IKF was defined by a reduced estimated glomerular filtration rate (eGFR) between 60 and 90 mL/min/1.73 m2, and CKD was defined as an eGFR &lt;60 mL/min/1.73 m2. Rapid eGFR decline was defined as a decrease ≥3 mL/min/1.73 m2/year.

Results
Over a mean follow-up of 12.5 years, 123 participants (2.6%) experienced rapid decline in kidney function, and 1455 (31.7%) developed IKF or CKD. After adjusting for covariates including baseline eGFR, we found that urinary vanadium [hazard ratio (HR) = 1.07, 1.03–1.12], cobalt (HR = 1.69, 1.21–2.37), nickel (HR = 1.19, 1.08–1.3), copper (HR = 1.03, 1.01–1.06), selenium (HR = 1.33, 1.02–1.73), molybdenum (HR = 1.48, 1.2–1.82) and iodine (HR = 1.1, 1.02–1.2) were associated with an increased risk of new incident IKF or CKD cases during the follow-up. Also, urinary copper [odds ratio (OR) = 1.12, 1.04–1.21], silver (OR = 1.83, 1–3.35), molybdenum (OR = 1.02, 1.01–1.04) and cadmium (OR = 1.05, 1.01–1.09) were associated with an increased risk of rapid eGFR decline.

Conclusion
In the general population, several urinary heavy metals/trace elements are associated with a rapid decline in kidney function or new cases of IKF/CKD.
Albuminuria after induction treatment and kidney prognosis in ANCA-associated glomerulonephritis
Authors: Chalkia Aglaia , Jones Rachel , Smith Rona , Willcocks Lisa , Jayne David 
Published: November 2024

ABSTRACT

Introduction
It remains unclear whether persisting proteinuria in ANCA-associated glomerulonephritis (AAGN) reflects damage from the initial injury or ongoing inflammation.

Methods
A retrospective, single-centre study of biopsy-proven AAGN was performed. The study defined the ‘albuminuria’ group as urine albumin-to-creatinine ratio (ACR) &gt;300 mg/g and the ‘no albuminuria’ group as ACR ≤300 mg/g at 6 months. We sought the clinical and histopathological characteristics of both the initial and subsequent biopsies and long-term kidney outcomes stratified by albuminuria levels.

Results
Two hundred and eighteen patients were included. Within the first 6 months, 28 (13%) died or progressed to end-stage kidney disease (ESKD). Among the remaining 190 patients, 37% had an ACR &gt;300 mg/g at 6 months. The albuminuria group more frequently presented with a Berden mixed or crescentic class and had higher glomerular activity on the initial biopsy. They were more often male (OR 2.75; 95% CI 1.15–6.54), younger age (OR 0.96; 95% CI 0.93–0.99), and had fewer normal glomeruli in the biopsy (OR 0.96; 95% CI 0.93–0.99) compared with the group without albuminuria. Over the initial 5-year period, the recovery in eGFR was lower in the albuminuria group (adjusted mean difference in ΔeGFR −12.5 mL/min per 1.73 m2; 95% CI −15.8 to −9.1). In multivariable analysis, ACR &gt;300 mg/g was associated with a higher risk of ESKD, even after adjusting for Berden classification and eGFR at diagnosis (hazard ratio 6.53; 95% CI 1.49–28.50).

Conclusions
In a well-defined cohort of AAGN, one-third of the patients, primarily younger males with a lower percentage of normal glomeruli, had persisting albuminuria after induction treatment which was associated with worse kidney outcomes independent of Berden class and eGFR at diagnosis.
Structure connectivity of folded cross cubes
Authors: Ba Lina , Zhang Heping 
Published: November 2024

Abstract
Connectivity is an important parameter to measure fault-tolerance of networks. As a generalization, structure connectivity and substructure connectivity of networks were proposed. For connected graphs $G$ and $H$, the $H$-structure connectivity $\kappa (G; H)$ (resp. $H$-substructure connectivity $\kappa ^{s}(G; H)$) of $G$ is the minimum cardinality of a set of subgraphs $\mathcal{F}$ of $G$ that each is isomorphic to $H$ (resp. a connected subgraph of $H$) such that $G-\mathcal{F}$ is disconnected or the singleton. $n$-dimensional folded cross cube, $FCQ_{n}$, is a network obtained by adding edges to $n$-dimensional cross cubes. In this paper, we study star, path, and cycle structure connectivity and substructure connectivity of $FCQ_{n}$, where $n\geq 8$. For star ($K_{1,m}$) structure, we get that $\kappa (FCQ_{n}; K_{1, m})=\kappa ^{s}(FCQ_{n}; K_{1, m})=\lceil \frac{n + 1}{2} \rceil $ for $2 \leq m \leq \frac{n}{2}$. For path ($P_{k}$) structure, we show that for $3\leq k\leq n+1$, if $k$ is odd, then $\kappa (FCQ_{n}; P_{k})=\kappa ^{s}(FCQ_{n}; P_{k})=\lceil \frac{2(n + 1)}{k+1}\rceil $; if $k$ is even, then $\kappa (FCQ_{n}; P_{k})=\kappa ^{s}(FCQ_{n}; P_{k})=\lceil \frac{2(n + 1)} {k}\rceil $. For cycle ($C_{k}$) structure, we prove that $\kappa ^(FCQ_{n}; C_{k})=\kappa ^{s}(FCQ_{n}; P_{k})$. Further, we calculate $\kappa ^(FCQ_{n}; C_{2k-1})=\lceil \frac{n+1}{k-1} \rceil $ for $4 \leq k \leq n+2$ and $C_{2k}$-structure connectivity of $FCQ_{n}$ is $\lfloor \frac{n+1}{k} \rfloor +1$ for $6 \leq k\leq n + 1$ and even $k$.
Efficacy of photoClO2 against two human norovirus surrogates and Clostridioides difficile endospores on stainless steel and nylon carpet
Authors: Huang Jinge , Adams Jacob , Pettigrew Charles , Fraser Angela , Jiang Xiuping 
Published: November 2024

Abstract

Aims
Determine efficacy of an aqueous photocatalytic disinfection system, photoClO2, against two human norovirus surrogates [feline calicivirus (FCV) and Tulane virus (TuV)] and Clostridioides difficile endospores on stainless steel and nylon carpet.

Methods and results
The photoClO2 system was first optimized with 1% sodium chlorite (NaClO2) and 10 ppm Eosin Y to produce 60.64 ppm ClO2/min in a 4.5 × 4.5 cm2 area. It was then tested against FCV, TuV, and C. difficile endospores on stainless steel and nylon carpet with two different backings. On stainless steel, photoClO2 achieved a &gt; 5 log10 plaque-forming unit (PFU) reduction of FCV in 45 min, &gt;3 log10 median tissue culture infectious dose (TCID50) reduction of TuV in 60 min, and 1.3 log10 colony-forming unit (CFU) reduction of C. difficile endospores in 120 min. Under indoor lighting conditions, photoClO2 achieved a 4.3 log10 PFU reduction of FCV and 1.4 log10 TCID50 reduction of TuV on stainless steel after 120 min. Further, photoClO2 achieved a 2.9 log10 PFU reduction of FCV and 2.5 log10 TCID50 reduction of TuV on nylon carpet with waterproof backing in 60 min, which was higher than carpet with water-permeable backing (1.3 log10 PFU and 1.1 log10 TCID50 reduction, respectively).

Conclusion
ClO2 production rate of the photoClO2 system was influenced by light distribution, while disinfection efficacy was affected by light intensity, surface characteristics, and target microorganisms. PhotoClO2 was efficacious in inactivating both human norovirus surrogates on stainless steel and nylon carpet. Efficacy against C. difficile endospores was limited.
Influence of feeding black soldier fly (Hermetia illucens), cricket (Gryllodes sigillatus), and superworm (Zophobas morio) on the gut microbiota of rainbow trout (Oncorhynchus mykiss)
Authors: Drosdowech Sonja , Bezner Samantha , Daisley Brendan , Chiasson Marcia , Easton Anne , Rooney Neil , Huyben David 
Published: November 2024

Abstract

Aim
This study investigates how replacing fishmeal and fish oil with insect meals in feed impacts the gut microbiota in rainbow trout (Oncorhynchus mykiss), a crucial species in aquaculture.

Methods and results
Dietary inclusion of black soldier fly (Hermetia illucens), cricket (Gryllodes sigillatus), and superworm (Zophobas morio) were evaluated for their impact on intestinal microbial diversity and community composition following a 12-week feeding trial. Fish were fed one of four isonitrogenous and isoenergetic diets: a control diet without insect meal, and diets with 15% defatted black soldier fly meal, full-fat adult cricket meal, or full-fat superworm meal. The microbiota of intestinal digesta and fish feed was characterized using 16S rRNA gene sequencing on the Illumina MiSeq platform. Results revealed significantly lower alpha diversity indices in the cricket treatment compared to the control. Beta diversity analysis showed Bacillota as the dominant phylum across all treatments, with the initial stock population richer in Mycoplasmatota. A novel genus within Mycoplasmataceae was prevalent at Day 0 and in all treatments. Black soldier fly meal increased an unidentified Peptostreptococcaceae genus (bsv123) compared to control and superworm diets, while cricket meal elevated Streptococcus levels.

Conclusions
Insect-based diets, particularly with black soldier fly meal, significantly alter beta diversity within the gut microbiota of rainbow trout, with cricket meal reducing alpha diversity and superworm having minimal impact.
Enhancing the erythritol production of Yarrowia lipolytica by high-throughput screening based on highly sensitive artificial sensor and anchor protein cwp2
Authors: Cui Quan , Liu Hui , Guo Chuanzhuang , Wang Jianbin , Liu Yuehan , Zhao Yaqi , Wang Ruiming , Li Piwu , Wang Ting , Wang Junqing , Li Nan 
Published: November 2024

Abstract

Yarrowia lipolytica is widely used for the industrial production of the natural sweetener erythritol. Despite improvements in fermentation process control and metabolic pathway regulation, bottlenecks still exist in terms of yield and screening technology. Therefore, we constructed an artificial sensor system for effective erythritol detection, established a single-cell droplet-based high-throughput screening system based on fluorescence-activated cell sorting, and obtained Y. lipolytica with improved erythritol production through mutagenesis and high-throughput screening. We used a droplet generator to co-cultivate Y. lipolytica 5-14 with Escherichia coli and used the E. coli fluorescent signal to detect the concentration of erythritol synthesized by Y. lipolytica 5-14 for high-throughput screening. Strains were subjected to UV mutagenesis for 120 s. Under optimized fermentation conditions using Y. lipolytica mutants in 96-well plates, the screening efficiency reached 16.7%. Yarrowia lipolytica 5-14-E6 showed a 21% increase in erythritol to 109.84 g/L. After fermentation at 30°C in a 100-m3 fermenter for 75 hr, the mutant Y. lipolytica 5-14-E6 erythritol yield reached 178 g/L.

One-Sentence Summary
In this study, we constructed an artificial sensor system for effective erythritol detection, established a single-cell droplet-based high-throughput screening system based on fluorescence-activated cell sorting, and induced and screened mutant strains of Yarrowia lipolytica with improved erythritol production through mutagenesis and high-throughput screening.
Different roles played by Types II and Ia supernovae in the gas loss in dwarf spheroidal galaxies: results from 3D hydrodynamic simulations
Authors: Lanfranchi Gustavo A , Caproni Anderson , Soares Jennifer F 
Published: November 2024

ABSTRACT
The absence of neutral gas in Local Group dwarf spheroidal galaxies is a well-known fact. However, the physical mechanism that led to the removal or consumption of their gas remains an unsolved puzzle. It is possible that galactic winds triggered by supernovae or external physical processes such as ram pressure or tidal stripping could have played a significant role in removing a considerable portion of gas from these galaxies. This study utilizes a non-cosmological 3D hydrodynamic simulation code to explore the impact of feedback from Types Ia and II supernovae on the dynamics of the gas of a typical dwarf spheroidal galaxy. The simulation code considers a fixed and cored dark matter potential and a ratio of baryonic to dark matter based on cosmic background radiation, and it takes into account the effects of both Type II and Type Ia supernova feedback. The gas distribution inside the tidal radius of the galaxy is allowed to evolve over 1 billion years considering different prescriptions for the spatial and temporal distribution of the supernovae. Our results suggest that Type Ia supernovae are more effective in expelling the gas out of the galaxy whereas Type II supernovae remove the gas from the central regions of the system. Whereas the spatial distribution of supernovae is more influential on gas loss than their temporal distribution, both factors should be considered in stellar feedback studies. Moreover, both types of supernovae, with their distinct time-scales, should be incorporated into these investigations.
A global binary asteroid system model with irregularly shaped components via iterated surface integral
Authors: Lu Jucheng , Shang Haibin , Zhang Xuefen 
Published: November 2024

ABSTRACT
The dynamics of binary asteroid systems are referred to as the full two-body problem (F2BP), which is one of the principal problems in astrodynamics. The gravitational interactions, including the mutual potential, force, and torque, are necessary quantities to acquire the solution of F2BP. However, it is usually difficult to balance accuracy with efficiency of the evaluations, due to the highly irregular shapes of the asteroids and the close distance between the two components. In this paper, a global model is proposed for evaluating the interactions between two polyhedral asteroids with arbitrary separating distances. First, the interactions are represented as the double surface integrals through the iterated divergence theorem, which is lossless. The integrals over the complex boundaries of bodies are then converted to the sum of subdomain integrals over triangular facets which are compatible with the polyhedron model. Finally, these integrals are conveniently approximated through the numerical quadrature. This work provides a general solution that avoids the divergence problem of most traditional models. The benchmarking tests against the exact solution between two ellipsoids verify its high precision even if the bodies are almost touching. Considering asteroids with irregular shapes, we investigate the evolution of the Moshup–Squannit system and compare the results with the traditional series-based model. The developed model makes a reasonable balance between accuracy and efficiency with different quadrature strategies. The simulations show that the developed model achieves a comparable precision with the 4th-order series solution and a relatively fast computation speed with an appropriate quadrature strategy.
Conformation-specific RNA aptamers for phenotypic distinction between normal von Willebrand factor and type 2B von Willebrand disease
Authors: Machha Venkata R , Tischer Alexander , Moon-Tasson Laurie , Tange Julie , Santiago-Davis Annyoceli , Pruthi Rajiv K , Chen Dong , Maher L James , Auton Matthew 
Published: November 2024

Abstract
The A1 domain in Von Willebrand Factor (VWF) initiates coagulation through binding to platelet glycoprotein GPIbα receptors. Von Willebrand Disease (VWD)-Mutations in A1 that either impair (type 2M) or enhance (type 2B) platelet adhesion to VWF can locally destabilize and even misfold the domain. We leveraged misfolding in the gain-of-function type 2B VWD phenotype as a target, distinct from the normal conformation. Two nuclease-resistant 2′-fluoropyrimidine RNA aptamers were selected to discriminate normal A1 domains from a type 2B V1314D A1 variant in a glycosylated A1A2A3 tri-domain VWF-fragment. Two aptamers, W9 and V1, were isolated that selectively recognize, bind, and inhibit the A1–GPIbα interaction with WT A1A2A3 and V1314D A1A2A3, respectively. These aptamers were tested against their respective recombinant targets, plasma VWF, VWF concentrates, and patient plasma with the heterozygous type 2B VWD R1306W variant using clinical assays, surface plasmon resonance and inhibition assays of platelet adhesion to recombinant A1 and A1A2A3 domains under shear stress. The specificity of W9 and V1 aptamers confirms that pathological conformations of VWD Type 2B proteins are different from normal VWF. The availability of aptamers that distinguish normal plasma-derived VWF from VWD suggests potential applicability in clinical diagnosis of severe gain-of-function phenotypes.
Unlocking new possibilities in ionic thermoelectric materials: a machine learning perspective
Authors: Wu Yidan , Song Dongxing , An Meng , Chi Cheng , Zhao Chunyu , Yao Bing , Ma Weigang , Zhang Xing 
Published: November 2024

ABSTRACT
The high thermopower of ionic thermoelectric (i-TE) materials holds promise for miniaturized waste-heat recovery devices and thermal sensors. However, progress is hampered by laborious trial-and-error experimentations, which lack theoretical underpinning. Herein, by introducing the simplified molecular-input line-entry system, we have addressed the challenge posed by the inconsistency of i-TE material types, and present a machine learning model that evaluates the Seebeck coefficient with an R2 of 0.98 on the test dataset. Using this tool, we experimentally identify a waterborne polyurethane/potassium iodide ionogel with a Seebeck coefficient of 41.39 mV/K. Furthermore, interpretable analysis reveals that the number of rotatable bonds and the octanol-water partition coefficient of ions negatively affect Seebeck coefficients, which is corroborated by molecular dynamics simulations. This machine learning-assisted framework represents a pioneering effort in the i-TE field, offering significant promise for accelerating the discovery and development of high-performance i-TE materials.
Liquid–solid composites with confined interface behaviors
Authors: Yu Shijie , Jiang Yina , Yu Lejian , Wang Huimeng , Pan Liting , Zhang Jian , Zhang Yunmao , Hou Xu 
Published: November 2024

ABSTRACT
In the evolving landscape of materials science, the journey from traditional composite materials to liquid–solid composites has marked a significant shift. Composite materials, typically solid state, have long been the cornerstone of many applications due to their structural stability and mechanical properties. However, the emergence of liquid–solid composites has introduced a new paradigm, leveraging the dynamic composite interfaces and fluidic nature of liquids. Recent years have witnessed the rapid development of liquid–solid composites, distinguishing themselves by their defect-free, molecularly smooth surfaces and adaptive features. In this review, we introduce liquid-based confined interface materials, which represent a cutting-edge advancement, integrating confined liquids within solid frameworks at mesoscopic scales. Characterized by their confined competitive multiphase interfacial interactions, these materials offer practical functionalities like anti-fouling, multiphase flow control and drag reduction. We summarize the development of the materials, and showcase important applications based on the controllable motions of confined liquids and solid frameworks. We also discuss their design and preparation and address future challenges and outlooks, such as artificial intelligence, in advancing functionalities.