bluuebunny/crossref_metadata_2025_split huggingface dataset:
Monitoring of the flow velocities and directions of fissure water in bedrock： based on colloidal particle motion, south-central China
Authors: Huang Chang-Sheng , Hu Fei , Han Ji-Hong , Huang Wei , Hou Bao-Quan , Akram Waseem , Li Long , Liu Xue-Hao , Li Xuan , Li Xiao-Zhe , Han Wen-Jing , Yin Zhi-Bin , Chen Wei , Xu Lian-Shan , Shan Hua , Zhao Zi-Liang 
Published: August 2023

Abstract
The colloidal borescope, using colloidal particle motion, is used to monitor the flow velocities and directions of groundwater. It integrates advanced techniques such as microscopy, high-speed photography, and big data computing and enjoys high sensitivity at the micron level. Data analyses have revealed that colloidal borescope monitoring results are significantly higher than conventional hydrogeological monitoring results and calculations. This study analyzed the monitoring data of the flow velocities and directions of bedrock fissure groundwater from five wells in the mountains, hills, inland plains and coastal plains of south-central China and plotted the motion trajectories of colloidal particles in the groundwater. Based on these results, it proposed a concept of cumulative flow velocity, before summarizing four types of cumulative flow velocity vs. monitoring time curves. Using curve-fitting equations, the limits of cumulative flow velocities as the monitoring time tends to infinity were then calculated as the actual flow velocities of the groundwater. This procedure is referred to as the limit equation method. The results of this study were as follows: (1) the fissure water in bedrock in south-central China has an instantaneous velocity of 415.42‒635.17 µm/s, a mean 10 min velocity of 339.25‒432.16 µm/s, a cumulative flow velocity of 188.30‒412.92 µm/s, and an actual flow velocity of 186.82‒412.95 µm/s; (2) the flow velocity of the bedrock fissure groundwater is related to factors such as aquifer lithology, fracturing degree, the filling conditions of fractures, and the homogeneity of structural surfaces; and (3) overall, the actual and cumulative flow velocities of the groundwater in aquifers of different lithologies can be sequenced as: fissure water in vesicular basalts > fissure water in the solution-enlarged fractures in limestones > fissure water in schists > fissure water in granites.
Accumulation of F-actin drives brain aging and limits healthspan in Drosophila
Authors: Walker David , Schmid Edward , Schinaman Joseph , Williams Kylie 
Published: August 2023

Abstract

The actin cytoskeleton is a key determinant of cell and tissue homeostasis. However, tissue-specific roles for actin dynamics in aging, notably brain aging, are not understood. Here, we show that there is an age-related increase in filamentous actin (F-actin) in Drosophila brains, which is counteracted by prolongevity interventions. Critically, modulating F-actin levels in aging neurons prevents age-onset cognitive decline and extends organismal healthspan. Mechanistically, we show that autophagy, a recycling process required for neuronal homeostasis, is disabled upon actin dysregulation in the aged brain. Remarkably, disrupting actin polymerization in aged animals with cytoskeletal drugs restores brain autophagy to youthful levels and reverses cellular hallmarks of brain aging. Finally, reducing F-actin levels in aging neurons slows brain aging and promotes healthspan in an autophagy-dependent manner. Our data identify excess actin polymerization as a hallmark of brain aging, which can be targeted to reverse brain aging phenotypes and prolong healthspan.
Lithospheric velocity structure from the southern North China Craton to the Qinling orogen: Constraints from Puyang-Nanyang wide-angle reflection/refraction sounding profiles
Authors: Yang Zhang , Tao Li , Honglin He , Liang Wang , Jiayi Gao , Shuaijun Wang , chengguang He 
Published: August 2023

Abstract
As a key study area of inter-plate interactions, continental-continental collision orogeny, and crust-mantle deformation mechanisms, the Central and Southern part of North China spans the North China Craton and the northern margin of the Qinling-Dabie orogen. However, our understanding of the present tectonic framework and deep dynamic process in this region lacks the constraints and support of the deep geophysical fine detection results. The Seismological Bureau of Henan Province set up the Puyang-Nanyng seismic wide-angle reflection/refraction profile with a length of about 550km, and constructed a two-dimensional crust-mantle fine velocity structure spanning the main tectonic units. The detection results show: (1) The study area has a three-layer structure: the upper crust, middle crust and lower crust. The thickness of the crust ranges from 32.0 to 36.0 km. The thickest part is the northern margin of the South Qinling (about 36 km) and the Taikang Uplift-Kaifeng Sag (35.2km); (2) There are three large lithospheric discontinuities in the upper mantle, corresponding to the Shangdan suture, the Luanchuan-Minggang fault, and the Xinxiang-Shangqiu fault, respectively. The crust-mantle velocity structure and tectonic form on both sides of the three faults/ suture have significant heterogeneity in the vertical and lateral directions, and the overall features of lateral fragmentation and vertical decoupling are non-uniform. This feature is related to the tectonic evolution process since the Mesozoic, and the destruction and reconstruction of the North China Craton by tectonic evolution; (3) Low-velocity anomalies are relatively developed in the crust of the Northen North China Basin and the northern part of Southern North China Basin in Henan Province, and the combination of high and low velocity anomaliesis easy to induce earthquakes, which makes the study area have a deep seismogenic background for moderate and strong earthquakes.
A technology-organization-environment (TOE) framework based on the scientific research directions for risk in sustainable water resources management
Authors: Lin ChihHsien , Chen Wei-Hsiang 
Published: August 2023

Abstract
The issue to study how water can be used in a way to meet sustainability through risk management has become increasingly complex given that many keywords in different aspects are involved. This study started with trend analysis, followed by bibliometric analysis, and eventually built a conceptual TOE framework. In the trend analysis, water conservation and water crisis were the top-mentioned words, suggesting the need to address the public concern for these issues. In the bibliometric analysis, 37% of the articles were published in the last three years, and environmental science and technology was the major field of the articles. An approach of a technology-organization-environment (TOE) framework was proposed to link and group the keywords from the articles, referred to as risks, in the categories of technology, organization, and environment. By calculating the score of each keyword in the categories to quantify their degree of impact, the three risks that had the highest scores were statistical analysis (belonged to the category of technology), climate change, and uncertainty (both belonged to the category of environment). In the category of technology, statistical analysis, sustainable development, and water quality represented the most important risks. As water management, governance, and water markets were critical in the category of organization, climate change, uncertainty, and flood represented the keys in the environment category. This study is expected to provide valuable information regarding the research trends important to achieve sustainability of water resource management in both conventional and academic studies in the last decade.
Application of artificial neural network to screen out the dominant meteorological parameters for prediction of air temperature
Authors: Kumar Ankit , Elumalai Suresh Pandian 
Published: August 2023

Abstract

The significant meteorological parameter, air temperature (TP), is often measured with limited spatial resolution, which necessitates the prediction of them at places far from monitoring stations and in the cases of accidentally missing data from the data loggers of monitoring stations. This study supports a non-location-specific model for air temperature prediction by combining a three-layer backpropagation artificial neural network (ANN) and meteorological data. The partial mutual information (PMI) algorithm & cross-correlation method incorporated with the ANN model reveals density altitude (DA), heat index (HI), relative humidity (RH), and wet bulb temperature (WB) as potential input variables for the prediction of TP. DA and HI are strongly correlated to TP for the whole year for all types of land covers whereas the dependency of TP on RH varies seasonally. RH is always a topping variable for air temperature prediction, which undoubtedly enhances the prediction accuracy. In pre-monsoon and monsoon, there are only three dominant input variables for the prediction of air temperature, i.e., DA, HI, and RH. In the post-monsoon, WB comes into role as an additional predictor. Using the predictor set of potential input variables, the prediction shows a good agreement between ANN-estimated air temperature and measured air temperature, i.e. the coefficient of determination of 99.46%, 99.23%, 99.73%, and 99.18% for pre-monsoon, monsoon, post-monsoon, and winter season, respectively. ANN modeling is a reliable method for predicting air temperature.
Coupling between substrate specificity and neutralisation mechanisms in toxic Small Alarmone Synthetases
Authors: Garcia-Pino Abel , Dominguez-Molina Lucia , Kurata Tatsuaki , Cepauskas Albinas , Echemendia-Blanco Dannele , Talavera Ariel , Atkinson Gemma , Hauryliuk Vasili 
Published: August 2023

Abstract
Toxic Small Alarmone Synthetase (toxSAS) enzymes constitute a family of bacterial effectors present in toxin-antitoxin (TA) and secretion systems. toxSASs act either through translation inhibition mediated by pyrophosphorylation of tRNA CCA-ends (exemplified by FaRel2) or through synthesis of the toxic alarmone (pp)pApp and ATP depletion (exemplified by FaRel). Both enzymatic reactions use ATP as the pyrophosphate donor. Here we show that the pseudo-Zn2+ finger domain (pZFD, equivalent to Panacea-Associated Domain 1, PAD1) of the ATfaRel2 antitoxin precludes access of ATP to the pyrophosphate donor site of the FaRel2 toxin, without affecting recruitment of the tRNA pyrophosphate acceptor. By contrast, (pp)pApp-producing toxSASs are inhibited by Tis1 antitoxin domains though occlusion of the pyrophosphate acceptor binding site. Consequently, the auxiliary pZFD of AT2faRel is dispensible for FaRel neutralisation. Collectively our study establishes the general principles of toxSAS inhibition by structured antitoxin domains, with the control strategy directly coupled to toxSAS substrate specificity.
Study on gas velocity distribution of gas-liquid stratified flow based on numerical simulation and PIV
Authors: Liu Xu , Zhao Danlei , Han Bangbang , Zhai Ke , Chen Xiao , Fang Lide 
Published: August 2023

Abstract
The velocity is an important parameter for the fluid flow characteristics in the two-phase flow. In the gas-liquid two-phase stratified flow, the most easily obvious force equilibrium point is at the peak point of the gas phase velocity. This study is of great significance for constructing the two-phase stratified flow model. In this paper, the flow field characteristics of the gas-liquid stratified flow are investigated by numerical simulation and a theoretical model of the gas phase peak velocity position is established. The accuracy of numerical simulation is illustrated by comparing classical prediction model and PIV experimental data. The results indicate that the position of gas-liquid interface moves down and the position of gas phase peak velocity moves up with an increase in gas mass flow rate. Conversely, when gas phase mass flow rate is constant, the position of gas-liquid interface moves up and the position of gas phase peak velocity moves down with an increase in liquid mass flow rate. By exploring the relationship between the position of the peak gas velocity point and ratio of the Reynolds number, it is found that the position of the gas peak velocity has a linear relationship with the gas-liquid Reynolds number. The multiple correlation coefficient is 0.85, obtained by linear regression fitting which stated that there is a strong linear relationship between the two variables.
A unified European hydrogen infrastructure planning to support the rapid scale-up of hydrogen production
Authors: Kountouris Ioannis , Bramstoft Rasmus , Madsen Theis , Gea-Bermúdez Juan , Münster Marie , Keles Dogan 
Published: August 2023

Abstract

Hydrogen will become a key player in the transition toward a net-zero energy system. However, a clear pathway toward a unified European hydrogen infrastructure is still under discussion. We explore plausible pathways using a fully sector-coupled energy system model and assess the emergence of hydrogen infrastructure build-outs connecting third-nation hydrogen import and domestic production centers with Western and Central European demands via four distinct hydrogen corridors. We identify a potential lock-in effect of blue hydrogen in the medium term, highlighting the risk of long-term dependence on methane. In contrast, we show that a self-sufficient Europe relying on domestic green hydrogen by 2050 increases yearly expense by around 3 % and requires 500 GW of electrolysis. This study emphasizes the importance of a rapid scale-up of electrolysis capacity, build-out of hydrogen network and storage facilities, deployment of renewable electricity generation, and coherent coordination across European nations.
From Answers to Insights: Unveiling the Strengths and Limitations of ChatGPT and Biomedical Knowledge Graphs
Authors: Hou Yu , Yeung Jeremy , Xu Hua , Su Chang , Wang Fei , Zhang Rui 
Published: August 2023

Abstract

Purpose:
Large Language Models (LLMs) have shown exceptional performance in various natural language processing tasks, benefiting from their language generation capabilities and ability to acquire knowledge from unstructured text. However, in the biomedical domain, LLMs face limitations that lead to inaccurate and inconsistent answers. Knowledge Graphs (KGs) have emerged as valuable resources for organizing structured information. Biomedical Knowledge Graphs (BKGs) have gained significant attention for managing diverse and large-scale biomedical knowledge. The objective of this study is to assess and compare the capabilities of ChatGPT and existing BKGs in question-answering, biomedical knowledge discovery, and reasoning tasks within the biomedical domain.
Methods:
We conducted a series of experiments to assess the performance of ChatGPT and the BKGs in various aspects of querying existing biomedical knowledge, knowledge discovery, and knowledge reasoning. Firstly, we tasked ChatGPT with answering questions sourced from the "Alternative Medicine" sub-category of Yahoo! Answers and recorded the responses. Additionally, we queried BKG to retrieve the relevant knowledge records corresponding to the questions and assessed them manually. In another experiment, we formulated a prediction scenario to assess ChatGPT's ability to suggest potential drug/dietary supplement repurposing candidates. Simultaneously, we utilized BKG to perform link prediction for the same task. The outcomes of ChatGPT and BKG were compared and analyzed. Furthermore, we evaluated ChatGPT and BKG's capabilities in establishing associations between pairs of proposed entities. This evaluation aimed to assess their reasoning abilities and the extent to which they can infer connections within the knowledge domain.
Results:
The results indicate that ChatGPT with GPT-4.0 outperforms both GPT-3.5 and BKGs in providing existing information. However, BKGs demonstrate higher reliability in terms of information accuracy. ChatGPT exhibits limitations in performing novel discoveries and reasoning, particularly in establishing structured links between entities compared to BKGs.
Conclusions:
To address the limitations observed, future research should focus on integrating LLMs and BKGs to leverage the strengths of both approaches. Such integration would optimize task performance and mitigate potential risks, leading to advancements in knowledge within the biomedical field and contributing to the overall well-being of individuals.
A class of cancellable L-algebras
Authors: Ruan Xianglong , Liu Xiaochuan 
Published: August 2023

Abstract
Given three $L$-algebras $X$, $Y$ and $Z$ such that $X \times Z$ is isomorphic to $Y \times Z$, when are $X$ and $Y$ isomorphic? In this paper we answer positively this question when $Z=Z_n$, where $Z_n$ is an n-elements $L$-algebra.
Influential Factors in Accepting Amputation by Trauma Patients: A qualitative study
Authors: Sousan Valizadeh , Hadi Hassankhani , Eissa Mohammadi , Molavi Zahra , Dadkhah Behrouz , Kheiri Roya 
Published: August 2023

Abstract

Background:Trauma is an influential factor in the occurrence of amputations. The impact of amputation on the spiritual and mental status of the individual and their family relationships is indisputable. Thus, we conducted the present study to determine the factors influencing the acceptance of amputation in trauma patients and assess the impact of these factors on their adaptability to their new circumstances and improvement of their quality of life (QOL).Methods:This qualitative study was grounded theory research. Using theoretical and purposive sampling, 20 individuals who had undergone lower limb amputation due to trauma were chosen as the study participants. The primary data collection method in the present study was an unstructured interview. The participants’ answers were recorded, transcribed verbatim, and statistically analyzed using the constant comparison method and qualitative content analysis.Results: The central theme extracted from the data was Accepting Amputation. The classes include “Positive Self-Hypnosis, “Realism, “Increasing Tolerance with Time, “Self-Esteem and Correcting Body Image, “and " Emergence of Glimmers of Hope, “Conclusion:Amputation affects all aspects of an individual’s life and causes physical, spiritual, mental, and social problems, and thus, the identification and reinforcement of the factors influential on the acceptance of the illness can be effective on the adaptability of these individuals to their new circumstances and improvement of their QOL.
Closed simple geodesics on a polyhedron
Authors: Protasov Vladimir 
Published: August 2023

Abstract
It is well-known that every isosceles tetrahedron (disphenoid) admits infinitely many simple closed geodesics on its surface. They can be naturally enumerated by pairs of coprime integers n > m > 1 with two additional cases (1, 0) and (1, 1). The (n, m)- geodesic is a broken line with 4(n+ m) vertices, its length tends to infinity as m → ∞. Are there other polyhedra possessing this property? The answer depends on convexity. We give an elementary proof that among convex polyhedra only disphenoids admit arbitrarily long closed simple geodesics. For non-convex polyhedra, this is not true. We present a counterexample with the corresponding polyhedron being a union of seven equal cubes. Several open problems are formulated.
Coverage for evidence-based cancer survivorship care services
Authors: Blaes Anne H. , Abu-Khalaf Maysa M. , Bender Catherine M. , Dent Susan F. , Fung Chunkit , Smith Sophia K. , Watson Samantha , Katta Sweatha , Merrill Janette K. , Hudson Shawna V. 
Published: August 2023

Abstract
Purpose
The American Society of Clinical Oncology Cancer Survivorship Committee established a task force to determine which survivorship care services were being denied by public and private payers for coverage and reimbursement.
Methods
A quantitative survey instrument was developed to determine the clinical practice-reported rates of coverage denials for evidence-based cancer survivorship care services. Additionally, qualitative interviews were conducted to understand whether coverage denials were based on payer policies, cost-sharing, or prior authorization.
Results
Of 122 respondents from 50 states, respondents reported that coverage denials were common (“always”, “most of the time,” or “some of the time”) for maintenance therapies, screening for new primary cancers or cancer recurrence. Respondents reported that denials in coverage for maintenance therapies were highest for immunotherapy (41.74%) and maintenance chemotherapy (40.17%). Coverage denials for new primary cancer screenings were highest for Hodgkin lymphoma survivors needing a PET/CT scan (49.04%) and breast cancer survivors at a high-risk of recurrence who needed an MRI (63.46%), respectively. More than half of survey respondents reported denials for symptom management and supportive care services. Fertility services, dental services when indicated, and mental health services were denied “always” or “most of the time” 23.1%, 22.5%, and 12.8%, respectively. Respondents reported they often had a process in place to automatically appeal denials for evidence-based services. The denial process, however, resulted in greater stress for the patient and provider.
Conclusion
Our study demonstrates that additional advocacy with payers is needed to ensure that reimbursement policies are consistent with evidence-based survivorship care services.
Proteome profiling of Enriched Membrane-associated Proteins Unraveled a Novel Sophorose and cello-oligosaccharide Transporter in Trichoderma reesei
Authors: Nogueira Karoline Maria Vieira , Kamath Karthik Shantharam , Cheruku Anusha , Oshiquiri Letícia Harumi , de Paula Renato Graciano , Carraro Claudia , Pedersoli Wellington Ramos , Vieira Luiz Carlos , Steindorff Andrei Stecca , Amirkhani Ardeshir , McKay Matthew J. , Nevalainen Helena , Molloy Mark P. , Silva Roberto N. , Mendes Vanessa 
Published: August 2023

Abstract

Background
Trichoderma reesei is an organism extensively used in the bioethanol industry, owing to its capability to produce enzymes capable of breakdown holocellulose into simple sugars. The uptake of carbohydrates generated from cellulose breakdown is crucial to induce the signaling cascade that triggers cellulase production. However, the sugar transporters involved in this process in T. reesei remain poorly identified and characterized.
Results
To address this gap, this study used temporal membrane proteomics analysis to identify five known and nine putative sugar transporters that may be involved in cellulose degradation by T. reesei. Docking analysis pointed out potential ligands for the putative sugar transporter Tr44175. Further functional validation of this transporter was carried out in Saccharomyces cerevisiae. The results showed that Tr44175 transports a variety of sugar molecules, including cellobiose, cellotriose, cellotetraose, and sophorose.
Conclusion
This study has unveiled a transporter Tr44175 capable of transporting cellobiose, cellotriose, cellotetraose, and sophorose. Our study represents the first inventory of T. reesei sugar transportome once exposed to cellulose. This work will contribute to bioethanol production from cellulosic biomass.