bluuebunny/crossref_metadata_2025_split huggingface dataset:
Domestic sewage as a sustainable freshwater substitute for enhanced anaerobic digestion of lignocellulosic biomass
Authors: Induchoodan TG , Choran Nimitha , Kalamdhad Ajay S. 
Published: December 2024

AbstractBiochemical methane potential tests using water hyacinth (WH), pretreated water hyacinth (PWH), and Hydrilla verticillata (HV) as substrates using sewage media were explored. This study replaced the freshwater required to prepare the slurry for AD of organic solid waste with domestic sewage. Cow dung was used as the inoculum. WH (241.5 mL CH4/g VSadded), PWH (200.5 mL CH4/g VSadded), and HV (212 mL CH4/g VSadded) produced significant amounts of methane in the sewage medium. 16S-rRNA analysis showed that, in sewage, ~ 85% of the microbes were hydrolytic bacteria, and 7% were methanogens. This abundant quantity of hydrolytic microbes from sewage accelerated lignin degradation, achieving 28.32% and 38.34% degradation for WH and HV, respectively, within 14 days. Field emission-scanning electron microscopy images visually confirmed the enhanced substrate degradation in the presence of sewage. The net energy produced from the AD of WH and HV was significant (4664 J/g VSadded and 4109 J/g VSadded), but for PWH, it was negative, indicating that using sewage medium may be better than costly pretreatment techniques. This study demonstrated the potential of using sewage as an alternative to freshwater in AD, offering a sustainable solution for freshwater conservation and the possible utilisation of sewage for improved methane production, especially for substrates with lignin that are difficult to degrade.
Metabolomics of mothers of children with autism, idiopathic developmental delay, and Down syndrome
Authors: Parenti Mariana , Shoff Shannon , Sotelo-Orozco Jennie , Hertz-Picciotto Irva , Slupsky Carolyn M. 
Published: December 2024

AbstractDevelopmental delays have been associated with metabolic disturbances in children. Previous research in the childhood autism risk from genetics and the environment (CHARGE) case–control study identified neurodevelopment-related plasma metabolites in children, suggesting disturbances in the energy-related tricarboxylic acid (TCA) cycle and 1-carbon metabolism (1CM). Here, we investigated associations between children’s neurodevelopmental outcomes and their mothers’ plasma metabolite profiles in a subset of mother–child dyads from CHARGE, including those with autism spectrum disorder (ASD, n = 209), Down syndrome (DS, n = 76), idiopathic developmental delay (iDD, n = 64), and typically developed (TD, n = 185) controls. Multiple linear regression revealed associations between child neurodevelopmental outcomes and maternal plasma metabolites related to the TCA cycle, 1CM, and lipid metabolism. Despite profound metabolic disturbances in children with DS reported previously, few of these differences were observed in the mothers, which might reflect differences in gene dosage between children with DS and their euploid mothers. Notably differences in maternal metabolism related to ASD and iDD followed similar patterns of disturbance in previously reported metabolic signatures in children but were generally smaller in magnitude. Similar patterns of metabolic disturbances observed in mothers and their children with ASD or iDD could reflect shared genetic, mitochondrial, and/or environmental risk factors.
Evolution characteristics and causes of iodine and fluoride in groundwater of Hengshui city in North China
Authors: Tuo Yapeng , Yan Baizhong , Gai Junbai , Yu Yanbo , Zhan Xinkai , Zhang Yuanjing , Qiu Shuwei 
Published: December 2024

AbstractIodine and fluoride are essential trace elements for human health, with both deficiency and excess intake impacting well-being. This study investigates the groundwater funnel area in eastern Hengshui City, utilizing groundwater level and hydrochemical data from 2014 to 2022. Hydrogeochemical methods were employed to comprehensively analyze the evolution characteristics and causes of iodine and fluoride concentrations in the funnel area. The results show: (1) After the implementation of groundwater exploitation reduction (GER) (post-2014), the mean concentration of I⁻ in the study area’s shallow groundwater (SG) decreased from 0.17 mg/L to 0.16 mg/L. Conversely, the mean concentration of F⁻ increased from 1.00 mg/L to 1.12 mg/L. In the deep groundwater (DG), the mean concentration of I⁻ rose from 0.17 mg/L to 0.19 mg/L, and the mean concentration of F⁻ increased from 1.99 mg/L to 2.90 mg/L. (2) In 2014, the concentrations of I⁻ and F⁻ in SG increased progressively from the recharge area to the discharge area along the groundwater flow. By 2018 and 2022, the concentrations of I⁻ and F⁻ in the recharge area had become higher than those in the discharge area. Between 2014 and 2022, the concentrations of I⁻ and F⁻ in DG progressively increased from the recharge area to the discharge area along the groundwater flow. (3) Before and after GER, the primary sources of I⁻ and F⁻ in both SG and DG remained consistent. Nevertheless, prolonged GER and recharge have altered the groundwater hydraulic conditions, pH, redox environment, HCO₃⁻ concentration, Ca2+ concentration, and cation exchange processes. These changes have led to the evolution of I⁻ and F⁻ concentrations.
The brain selectively allocates energy to functional brain networks under cognitive control
Authors: Saberi Majid , Rieck Jenny R. , Golafshan Shamim , Grady Cheryl L. , Misic Bratislav , Dunkley Benjamin T. , Khatibi Ali 
Published: December 2024

Abstract
Network energy has been conceptualized based on structural balance theory in the physics of complex networks. We utilized this framework to assess the energy of functional brain networks under cognitive control and to understand how energy is allocated across canonical functional networks during various cognitive control tasks. We extracted network energy from functional connectivity patterns of subjects who underwent fMRI scans during cognitive tasks involving working memory, inhibitory control, and cognitive flexibility, in addition to task-free scans. We found that the energy of the whole-brain network increases when exposed to cognitive control tasks compared to the task-free resting state, which serves as a reference point. The brain selectively allocates this elevated energy to canonical functional networks; sensory networks receive more energy to support flexibility for processing sensory stimuli, while cognitive networks relevant to the task, functioning efficiently, require less energy. Furthermore, employing network energy, as a global network measure, improves the performance of predictive modeling, particularly in classifying cognitive control tasks and predicting chronological age. Our results highlight the robustness of this framework and the utility of network energy in understanding brain and cognitive mechanisms, including its promising potential as a biomarker for mental conditions and neurological disorders.
Preliminary validation for an online configuration determination method of a thin film buckling under point contact force
Authors: Kim Yeoun-Jae , Wi Daehan 
Published: December 2024

AbstractThe authors previously developed an online thin film buckling configuration determination method for a mini basket type mapping catheter prototype, which incorporates eight thin film sensor strips. In the prior study, no external force was applied to the thin film, and only axial displacement was adjusted to induce buckling in the thin film. Extending this prior work, a preliminary methodological validation is conducted for an online configuration determination method of thin film buckling under a point contact force. The overall thin film configuration determination problem is formulated as a constrained optimization problem, involving five variables and five equality constraint functions. Before developing an actual online optimization solver, preliminary numerical calculations, Ansys simulations, and experiments are performed to verify the proposed problem formulation. The comparison between the numerical precalculations, Ansys simulations, and experimental results demonstrated that the proposed problem formulation is consistent with Ansys simulations and experimental outcomes. This indicates that the proposed formulation is capable of calculating accurate solutions using appropriate optimization methodologies.
Ms44-SPT: unique genetic technology simplifies and improves hybrid maize seed production in sub-Saharan Africa
Authors: Collinson Sarah , Cairns Jill E. , Ndlala Lucia , Deonovic Benjamin , Ligeyo Dickson , Albertsen Marc , Chivasa Walter , Mashingaidze Kingstone , Olsen Michael S. , Ertiro Berhanu T. , Prasanna Boddupalli M. 
Published: December 2024

AbstractHybrid maize seed production in Africa is dependent upon manual detasseling of the female parental lines, often resulting in plant damage that can lead to reduced seed yields on those detasseled lines. Additionally, incomplete detasseling can result in hybrid purity issues that can lead to production fields being rejected. A unique nuclear genetic male sterility seed production technology, referred to as Ms44-SPT, was developed to avoid hybrid seed loss and to improve the purity and quality of hybrid maize production. Hybrid seed yield reduction following detasseling can be attributed to leaf loss. Our analyses showed an average 2.9 leaves are lost during the detasseling process, resulting in a seed yield reduction of 14.0%. These findings suggest that deploying the Ms44-SPT technology would avoid this seed yield loss. By simplifying hybrid production and increasing seed yields, Ms44-SPT could help drive hybrid replacement, providing smallholder farmers with better access to improved hybrids.
Phenotypic screening in zebrafish larvae identifies promising cyanobacterial strains and pheophorbide a as insulin mimetics
Authors: Ribeiro Tiago , Reis Mariana , Vasconcelos Vitor , Urbatzka Ralph 
Published: December 2024

AbstractDiabetes is a pandemic disease that causes the loss of control of glucose regulation in the organism, in consequence of dysfunction of insulin production or functionality. In this work, the antidiabetic bioactivity of 182 fractions from 19 cyanobacteria strains derived from the LEGE Culture Collection were analysed using the 2-NBDG assay in zebrafish larvae. From this initial screening, two fractions (57 (06104_D) and 107 (03283_B)) were identified as promising insulin mimetics. These were further characterized by measuring glucose levels in whole larvae, the expression of glucose transporters (GLUT 1–3) using western blot, and the mRNA expression levels of the glut2, pepck, and insa genes using real-time qPCR. Both fractions showed a decrease in free glucose levels. Furthermore, exposure to fraction 06104_D decreased GLUT1 and increased insa mRNA levels. The chemical composition of these fractions was determined using LC-HRESIMS/MS and compared to inactive fractions of the same polarity in order to identify the unique bioactive molecules. The molecular networks constructed using the GNPS platform revealed that fraction 06104_D contained mass clusters primarily composed of chlorins, lipids, and terpenoids, while fraction 03283_B contained xanthophylls, peptides, and terpenoids. To correlate the observed activity with the chemical composition of fraction 06104_D, pheophorbide a was chosen as a representative of chlorophyll derivatives. Exposure to zebrafish larvae at 10 and 20 µM confirmed the increased glucose uptake on the 2-NBDG assay. These findings highlight the bioactivity of chlorophyll derivatives as insulin mimetic compounds, as well as cyanobacteria as a source of potential therapeutic diabetes applications.
Personalized modeling of gut microbiome metabolism throughout the first year of life
Authors: Shaaban Rola , Busi Susheel Bhanu , Wilmes Paul , Guéant Jean-Louis , Heinken Almut 
Published: December 2024

Abstract
Background
Early-life exposures including diet, and the gut microbiome have been proposed to predispose infants towards multifactorial diseases later in life. Delivery via Cesarian section disrupts the establishment of the gut microbiome and has been associated with negative long-term outcomes. Here, we hypothesize that Cesarian section delivery alters not only the composition of the developing infant gut microbiome but also its metabolic capabilities. To test this, we developed a metabolic modeling workflow targeting the infant gut microbiome.

Methods
The AGORA2 resource of human microbial genome-scale reconstructions was expanded with a human milk oligosaccharide degradation module. Personalized metabolic modeling of the gut microbiome was performed for a cohort of 20 infants at four time points during the first year of life as well as for 13 maternal gut microbiome samples.

Results
Here we show that at the earliest stages, the gut microbiomes of infants delivered through Cesarian section are depleted in their metabolic capabilities compared with vaginal delivery. Various metabolites such as fermentation products, human milk oligosaccharide degradation products, and amino acids are depleted in Cesarian section delivery gut microbiomes. Compared with maternal gut microbiomes, infant gut microbiomes produce less butyrate but more L-lactate and are enriched in the potential to synthesize B-vitamins.

Conclusions
Our simulations elucidate the metabolic capabilities of the infant gut microbiome demonstrating they are altered in Cesarian section delivery at the earliest time points. Our workflow can be readily applied to other cohorts to evaluate the effect of feeding type, or maternal factors such as diet on host-gut microbiome inactions in early life.
A brief introduction to the diffusion Monte Carlo method and the fixed-node approximation
Authors: Annarelli Alfonso , Alfè Dario , Zen Andrea 
Published: December 2024

Quantum Monte Carlo (QMC) methods represent a powerful family of computational techniques for tackling complex quantum many-body problems and performing calculations of stationary state properties. QMC is among the most accurate and powerful approaches to the study of electronic structure, but its application is often hindered by a steep learning curve; hence it is rarely addressed in undergraduate and postgraduate classes. This tutorial is a step toward filling this gap. We offer an introduction to the diffusion Monte Carlo (DMC) method, which aims to solve the imaginary time Schrödinger equation through stochastic sampling of the configuration space. Starting from the theoretical foundations, the discussion leads naturally to the formulation of a step-by-step algorithm. To illustrate how the method works in simplified scenarios, examples such as the harmonic oscillator and the hydrogen atom are provided. The discussion extends to the fixed-node approximation, a crucial approach for addressing the fermionic sign problem in multi-electron systems. In particular, we examine the influence of trial wave function nodal surfaces on the accuracy of DMC energy by evaluating results from a non-interacting two-fermion system. Extending the method to excited states is feasible in principle, but some additional considerations are needed, supported by practical insights. By addressing the fundamental concepts from a hands-on perspective, we hope this tutorial will serve as a valuable guide for researchers and students approaching DMC for the first time.
A compact and fast radio-frequency source for efficient Raman sideband cooling
Authors: Pang Liren , Ma Zhiyu , Wang Biao , Gong Rui , Wei Songquan , Liu Hongli , Yuan Wenhao , Deng Ke , Zhang Jie , Lu Zehuang 
Published: December 2024

A compact and fast radio-frequency (RF) source developed for Raman sideband cooling (RSBC) in trapped ion and cold atom experiments is presented. The source is based on direct digital synthesizer, advanced real-time infrastructure for quantum physics, and field programmable gate array. The source has a frequency switching speed of 40 ns and can output continuous μs-level time sequences for RSBC. The maximum output frequency of the source is 1.4 GHz. The RF source is capable of pre-writing data for eight channels. As a demonstration, the RF source is applied to our 25Mg+–27Al+ ion pair optical clock experiment. In order to cool down the ion pair to the vibrational ground state, two-order RSBC is applied to the 25Mg+ ion. As a result, the ion pair motions in the three X, Y, and Z directions are all cooled to the vibrational ground state efficiently, demonstrating the feasibility of this technique. The developed RF source can be widely implemented for other cold atom experiments.
A proposal for skyrmion-based diode-like device in antiferromagnetic nanostripe
Authors: Silva R C , Silva R L 
Published: December 2024

Abstract
Micromagnetic simulations were employed to investigate the dynamics of a single skyrmion within an antiferromagnetic (AFM) nanostripe with spatially engineered magnetic properties. This study investigates skyrmion motion within an AFM nanostripe engineered with trapezoidal regions of enhanced magnetic anisotropy, enabling diode-like functionality by selectively directing skyrmion movement. Our findings demonstrate that skyrmions can cross these barriers in one direction while being obstructed in the reverse direction, mimicking diode behavior. A detailed analysis is presented on how geometric parameters, such as the inclination angle of the trapezoidal barriers, impact skyrmion motion and device efficacy. Additionally, we reveal that an optimal combination of current density and anisotropy is essential to facilitate efficient skyrmion transport through the nanostripe without reverse movement or annihilation. This work advances the development of skyrmion-based devices for spintronic applications. It provides valuable insights into designing structures that harness controlled topological dynamics.
Exploring the correlation between chemical bonding and structural distortions in TbCu0.33Te2
Authors: Weinelt Leander , Steinberg Simon 
Published: December 2024

Abstract
The design of solid-state materials requests a thorough understanding of the structural preferences among plausible structure models. Since the bond energy contributes to the formation energy of a given structure model, it also is decisive to determine the nature of chemical bonding for a given material. In this context, we were motivated to explore the correlation between chemical bonding and structural distortions within the low-dimensional tellurium fragments in TbCu0.33Te2. The ternary telluride was obtained from high-temperature solid-state reactions, while structure determinations based on x-ray diffraction experiments did not point to the presence of any structural distortion above 100 K. However, the results of first-principles-based computations indicate that a potential structural distortion within the low-dimensional tellurium fragments also correlates to an optimization of overall bonding.
The properties of solids: ‘If you want to understand function, study structure’
Authors: Jones R O 
Published: December 2024

Abstract
The importance of the structure-function relationship in molecular biology was confirmed dramatically by the recent award of the 2024 Nobel Prize in Chemistry ‘for computational protein design’ and ‘for protein structure prediction’. The relationship is also important in chemistry and condensed matter physics, and we survey here structural concepts that have been developed over the past century, particularly in chemistry. As an example we take structural phase transitions in phase-change materials (PCM), which can be switched rapidly and reversibly between amorphous and crystalline states. Alloys of Ge, Sb, and Te are the materials of choice for PCM optical memory; they satisfy practical demands of stability and rapid crystallization, which results in metastable, rock salt structures, not the most stable (layered) crystalline forms.
Josephson diode effect in one-dimensional quantum wires connected to superconductors with mixed singlet-triplet pairing
Authors: Soori Abhiram 
Published: December 2024

Abstract
The Josephson diode effect (JDE), characterized by asymmetric critical currents in a Josephson junction, has drawn considerable attention in the field of condensed matter physics. We investigate the conditions under which JDE can manifest in a one-dimensional Josephson junction composed of a spin–orbit-coupled quantum wire with an applied Zeeman field, connected between two superconductors (SCs). Our study reveals that while spin–orbit coupling (SOC) and a Zeeman field in the quantum wire are not sufficient to induce JDE when the SCs are purely singlet, introduction of triplet pairing in the SCs leads to the emergence of JDE. This finding highlights the potential of JDE as a probe for triplet superconductivity. We further demonstrate that even in absence of SOC in the quantum wire, JDE can arise when the directions of the triplet pairing and the Zeeman field are non-collinear, provided the SCs exhibit mixed singlet–triplet pairing. Additionally, we identify specific conditions under which JDE is absent, namely, when the pairing is purely triplet and the directions of the SOC and the triplet pairing are perpendicular. Our findings indicate that JDE is always accompanied by anomalous Josephson effect. The diode effect coefficient is found to oscillate with variations in the chemical potential of the quantum wire, driven by Fabry–Pérot interference effects. Our results suggest that quantum wires connected across SCs can serve as effective platforms for probing triplet superconductivity through the observation of JDE.
Synchronous detection of multiple micro-substances with a single output channel using a weakly coupled resonator array
Authors: Liu Xiaohe , Wang Jiansong , Zhao Zhujie , Zhang Lijia , Song Jie , Xia Yuanlin , He Liang , Wang Dong F , Wang Zhuqing , Xia Cao 
Published: December 2024

Abstract
In this paper, a multiple micro-substances sensing scheme with a single output channel using a weakly coupled resonator array is proposed. An analytical model of the resonator using the Euler–Bernoulli beam theory has been developed, as well as the dynamic behavior has been further explored using the Galerkin method. We have discovered numerically that, in the weakly coupled cantilever array, the A-f (amplitude-frequency) curve of any cantilever physically reflects the vibration features of other cantilevers. Hence, by measuring the output signal of a single cantilever, multiple substances applied on each cantilever respectively can be identified and detected synchronously. A single output channel via a weakly coupled micro-resonator array is constructed and validated numerically for picogram level mass detection. Equivalent experiments with a macro coupled five-cantilever array have been further conducted for verification. Under a common sweep-driven signal, the five analytes applied on each cantilever with masses at microgram level can be detected synchronously and independently by measuring the frequency shifts of the five resonant peaks of the center cantilever. Multiple substances sensing with a single output channel and a single driving signal is thus realized with low relative errors and high linearities. By enhancing the driving voltage, the mass resolution can also be improved via Duffing bifurcation. This work not only reveals a new coupled vibration behavior but also provides a new avenue for multiple analytes detection.