bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Feasibility Study of Non-Invasive Prenatal Testing of Thalassemia by Haplotype Analysis Based on Next Generation Sequencing and Long-Read Sequencing
Authors: Wang Lei , Huang Xinyi , Wu Xiaoli , Wu Bei , Xu Xiangmin , Yang Jingmin , Wu Yiming , Xie Dan , Yang Mingyue , Guo Min , Lu Daru , An Bangquan , Huang Shengwen 
Published: December 2023

Abstract
To investigate the feasibility of constructing parental haplotypes based on short-read next-generation (NGS) and long-read third-generation sequencing (TGS) for non-invasive prenatal testing (NIPT) of thalassemia.Families at risk of having children with moderate to severe thalassemia were recruited for this study. Genomic DNA from both couples and sibling or grandparents of the fetus was first applied to construct haplotypes in couples using targeted NGS. For families where parental haplotypes could not be built using NGS, directly using TGS. NGS was performed on cell-free DNA in maternal peripheral blood to obtain information on fetal allele depth distribution, fetal fraction, etc. Haplotypes and thalassemia genotypes of fetuses were then deduced using the Viterbi decoding algorithm based on a hidden Markov model. Finally, the NIPT results were verified by invasive prenatal diagnosis (IPD). As a result, pedigree-based NGS successfully deduced the thalassemia genotype of the fetus in 93.3%(28/30). However, 2 families had failed because both sibling or grandparents of the fetus and couples were heterozygous for point mutations in the same thalassemia gene. In these 2 families, TGS directly inferred parental haplotypes and deduced fetuses genotypes. This combined strategy resulted in the prediction of fetal genotypes in all 30 families, and its coincidence rate with IPD results reached 100%. In brief, Pedigree-based NGS is enough to construct haplotype and decuce genotypes in most fetuses. TGS is helpful in certain families in which NGS failed. Therefore, comprehensive application of haplotype analysis based on NGS and TGS data is an effective strategy for NIPT in thalassemia.
A highly frequency-selective 3D printed dielectric structure for the terahertz range
Authors: Tobias Kubiczek , Kevin Kolpatzeck , Thorsten Schultze , C. Balzer Jan 
Published: December 2023

Abstract
In this paper, we present a terahertz transmission frequency-selective quasi surface (FSQS) showing strong absorption lines and a periodic band-pass characteristic. The structure is created by the lateral combination of Fabry-Pérot resonators with different thicknesses. The transfer function of the FSQS can be used as a broadband reference for testing the signal integrity of the transmission path for broadband terahertz systems. This is realized by the transfer function which shows a combination of band-pass characteristics and sharp resonances with a theoretical attenuation of more than 80 dB and with quality factors of more than 40,000 for a combination of 36 resonators. One FSQS consisting of a combination of four resonators is 3D printed by fused deposition modeling of a low-loss cyclic olefin copolymer (COC) filament. Finally, we perform a characterization of the 3D printed FSQS with a frequency-domain and a time-domain terahertz spectroscopy system showing an attenuation of more than 42 dB and a quality factor above 100.
A qualitative method for gel strength assessment of phycocolloid-based gels
Authors: Shauli Lilach , Salomon Eitan 
Published: December 2023

Abstract
Seaweeds are the natural, sustainable, source for phycocolloids. Phycocolloids such as agar and agarose, carrageenan and alginate have many usages in a variety of industries including health, science, food, and cosmetics. The commercial application of each phycocolloid, and its commercial value, depend on its chemical/physical properties. One of the unique characteristics of certain phycocolloids is their ability to form gels. Gel properties such as gel strength, gel setting and melting temperatures vary between different seaweed species and among a single species, can vary depending on their growth conditions. Thus, measuring gels properties including gel strength is important for seaweed growers and scientist. State of the art gel strength measurements mainly includes the use of texture analyzers. However, such instruments are not always available for growers and scientists, and alternative methods for obtaining gels strength are desired. In this work we describe a home-made apparatus for assessing gel strength, or gel break point, of phycocolloid gels. The system measures the weight of water in a column required for breakage and penetration of a flat tip, pressed against gels at a concentration range of 0.5–1.5%. We found that the system gave repeatable results, both across different sampling trials, as well as across different users. The variation in the measurement was similar to that reported for other gel strength measuring devices. We propose the use of our system as a simple, flexible, and affordable method for quickly assessing gel quality of phycocolloid samples.
Determination of the lateral pressure of the soil on a retaining wall in quasi-static conditions using limit analysis theory
Authors: Chen Yan-Jia , Zheng Gui-Xin 
Published: December 2023

Abstract
The provided text discusses the calculation of lateral soil pressure in active and passive states, one of the classical stability problems in soil mechanics. Given the importance of earthquake effects on the behavior of retaining walls, calculating lateral pressure in this scenario is of particular significance. The limit analysis method is an efficient approach for calculating soil lateral pressure, divided into lower and upper bound analyses.
A Novel 1200V SJ-RFC-MPS with Fast Recovery and Snap-off-free
Authors: Rao Qiansheng , Li Zehong , Li Luping , Yang Yuanzhen , Chen Peng , Ren Min 
Published: December 2023

Abstract
In this work, a novel Super-junction Relaxed Field of Cathode Merged PiN Schot-tky (SJ-RFC-MPS) realizing low reverse recovery time, snap-off-free and superior VF-Qrr trade-off is proposed. With the introduction of RFC on cathode of SJ-MPS, the N-sub injection window during on-state is reduced, and holes injected into N-buffer during the reverse recovery process suppress the cathode electric field, thus snap-off in conventional SJ-MPS is eliminated. In addition, under the effect of reduced drift region thickness from snap-off-free Semi-SJ-MPS, trr and Qrr are reduced by 40.7% and 40.6% though TCAD simulation, respectively. It proves that the RFC just provides a solution of suppressing snap-off in SJ-MPS, and which is necessary for SJ-MPS to exert its intrinsic advantage of fast recovery.
Suggestions for Food Self-management by Athletes - Investigation of the Effectiveness of Food Frequency Questionnaire by Soccer Players -
Authors: Takahashi Ryunoshuke , Fujii Takako 
Published: December 2023

Abstract
A proper diet is essential for athletes. However, in a few cases, athletes have the opportunity to receive dietary management and advice from a dietitian concerning an appropriate diet. If athletes could manage their own diets, they would be able to check their diets regularly, which would alleviate dietary concerns and improve their performance. The study was conducted on 28 students who were members of a university soccer team. The subjects completed a self-administered Food Frequency Questionnaire (FFQ) using the FFQ NEXT software program. The survey forms were distributed to the participants by their coaches, and the participants completed the forms on their own. For comparison purposes, the nutritional value of each meal was calculated by a dietitian and compared using a recording method. The results showed that protein, fat, phosphorus, zinc, and fiber levels were significantly lower in the FFQ than in the recording method. However, phosphorus, zinc, and fiber levels were within the target ranges. The FFQ NEXT can be used as a means for athletes to assess their diet at their own pace. It is also suggested that it could be used to screen athletes in need of dietary guidance.
Traffic volume prediction on highway network with mix-of-expert Transformer
Authors: Shen Zhou (Eric) 
Published: December 2023

Abstract
Accurate traffic volume prediction is essential for effective traffic management and urban planning. This paper introduces a novel approach, the Mix-of-Expert Transformer model, for traffic volume prediction on highway networks. Integrating the Mix-of-Expert concept within the Transformer architecture, our model leverages expert specialization and adaptive attention mechanisms to capture complex spatiotemporal dependencies in traffic data. Through comprehensive experiments, including comparisons with traditional time-series models, machine learning approaches, and state-of-the-art Transformer-based methods, we demonstrate the superior performance and computational efficiency of the proposed model. The Mix-of-Expert Transformer consistently outperforms baseline models, showcasing its potential as a valuable tool for optimizing traffic flow and urban transportation systems. The model's versatility and efficiency make it a promising solution for real-world applications in traffic prediction, paving the way for further advancements in intelligent transportation systems.
Impact of the active job openings-to-applicants ratio on the number of ambulance dispatches: a longitudinal ecological study
Authors: Kamikawa Yohei 
Published: December 2023

Abstract
Background
An increase in the number of ambulance dispatches has been a common issue in developed countries. Although many previous studies have investigated the factors that contribute to this increase, none have examined the macroeconomic indicators. This study examined the contribution of the active job openings-to-applicants ratio, a macroeconomic indicator, to the number of ambulance dispatches.
Methods
This study was a longitudinal ecological study. All ambulance dispatches in Japan between January 2003 and December 2021 were included. The contribution of the active job openings-to-applicants ratio in a month, adjusted by the number of older people, mean temperature, and total population, to the number of ambulance dispatches in that specific month was examined and the new model was compared to the conventional model considering only the older population, mean temperature, and total population.
Results
There were 108,724,969 ambulance dispatches during this period. The active job openings-to-applicants ratio was significantly associated with the number of ambulance dispatches (incidence rate ratio per month, 1.00081; 95% confidence interval, 1.00052–1.00112). Additionally, the primary model effectively demonstrated better fitness to the actual trend than the conventional model (the quasi-likelihood under the independence model criteria were − 2,626,817,722 and − 2,626,775,188, respectively).
Conclusions
The number of ambulance dispatches was correlated with the active job openings-to-applicants ratio. Macroeconomic perspectives may be needed to address the issue of increasing ambulance dispatches.
Differential responses to aging amongst the transcriptome and proteome of mesenchymal progenitor populations
Authors: Duque Gustavo , Feehan Jack , Tripodi Nicholas , Kondrikov Dmitry , Wijeratne Tissa , Gimble Jeffrey , Hill William , Apostolopoulos Vasso 
Published: December 2023

Abstract
The biological aging of mesenchymal stem cells is proposed to contribute to the development of a range of musculoskeletal and systemic diseases associated with older adults, such as osteoporosis, sarcopenia, and frailty. Despite this, little is understood about the specific mechanisms which drive this stem cell exhaustion, with most studies evaluating indirect effects of other aging changes, such as DNA damage, senescence, and inflammaging. In this study, we assess the transcriptomic and proteomic changes in three different populations of mesenchymal progenitor cells from older (50–70 years) and younger (20–40 years) individuals to uncover potential mechanisms driving stem cell exhaustion in mesenchymal tissues. To do this, we harvested primary bone marrow mesenchymal stem and progenitor cells (MPCs), circulating osteoprogenitors (COP), and adipose-derived stem cells (ADSCs) from younger and older donors, with an equal number of samples from males and females. These samples underwent RNA sequencing and label-free proteomic analysis, comparing the younger samples to the older ones. There was a distinct transcriptomic phenotype associated with the pooled older stem cells, indicative of suppressed proliferation and differentiation; however, there was no consistent change in the proteome of the cells. Older MPCs had a distinct phenotype in both the transcriptome and proteome, again consistent with altered differentiation and proliferation, but also a pro-inflammatory immune shift in older adults. COP cells showed a strong transcriptomic shift to pro-inflammatory signaling but no consistent proteomic phenotype. Similarly, ADSCs displayed transcriptomic shift in physiologies associated with cell migration, adherence, and immune activation, but no consistent proteomic change with age. These results show that there are underlying transcriptomic changes with stem cell aging that likely contribute to a decline in tissue regeneration; however, contextual factors such as the microenvironment and general health status also have a strong role in this.
Understanding and mitigating water resource decline in the Deli watershed: a comprehensive analysis
Authors: Marselina Mariana , Hanie Meidina Zulfa , Nurhayati Siti Ai 
Published: December 2023

Abstract
In Indonesia, the common method for determining water resources' carrying capacity in an area has been the comparison of water availability and water demand. However, water resources' carrying capacity constitutes a complex system with interrelated variables that interact and influence one another. This study employs both the System Dynamics and the Analytic Hierarchy Process (AHP) approaches, which are subsequently integrated to develop an index that effectively represents the status of the water resources' carrying capacity, to investigate the water resources' carrying capacity in the Deli Watershed, one of the National Strategic River Regions and a raw water supplier for three cities/regencies in North Sumatera Province. The focus is on the quantity of water resources and designing scenarios to address challenges posed by economic and population growth that cause changes in land use. The results indicate that without intervention, the water resources' carrying capacity index declines, reaching a concerning status by 2038; however, integrated programs targeting birth and in-migration rates, domestic water use reduction, and land restoration can lead to a positive trajectory, emphasizing the unique integration of System Dynamics and AHP hold promise for sustainable water resources management practices.
Emodin is a Potential Drug Targeting CD44-positive Hepatocellular
Cancer
Authors: Gao Yuan , Li Youling , Zhu Yunhe , Luo Qiao , Lu Yifeng , Wen Ke , Du Boyu , Xi Xueyan , Li Gang 
Published: December 2023

Background:
Liver cancer is one of the most prevalent forms of cancer of the digestive
system in our country. The most common subtype of this disease is hepatocellular carcinoma (HCC).
Currently, treatment options for HCC patients include surgical resection, liver transplantation,
radiofrequency ablation, chemoembolization, and biologic-targeted therapy. However, the efficacy
of these treatments is suboptimal, as they are prone to drug resistance, metastasis, spread, and
recurrence. These attributes are closely related to cancer stem cells (CSCs). Therefore, the utilization
of drugs targeting CSCs may effectively inhibit the development and recurrence of HCC.

Methods:
HepG2 and Huh7 cells were used to analyze the antitumor activity of emodin by quantifying
cell growth and metastasis, as well as to study its effect on stemness.

Results:
Emodin effectively suppressed the growth and movement of HCC cells. Emodin also significantly
inhibited the proliferation of CD44-positive hepatoma cells.

Conclusion:
Emodin shows promise as a potential therapeutic agent for HCC by targeting CD44--
positive hepatoma cells.
Galectin-3 in Blood Serum and Lymphocytes as a Marker of Myocardial
Damage in Patients with Arterial Hypertension and COVID-19
Authors: Pokrovska Nataliia , Denysenko Nataliia , Fomenko Iryna , Sklyarova Helen , Basylevych Andrii , Sklyarov Eugene , Vari Sandor G. , Kobylinska Lesya 
Published: December 2023

Background::
The constant increase of arterial hypertension and the development of pathology at an earlier age are global healthcare problems that cause damage to vital organs and worsen patient prognosis. In recent years, studies have shown that galectin-3 plays a role in the development and progression of arterial hypertension and coronavirus disease (COVID-19).

Objective::
The explanatory research study aimed to analyze the prognostic value of galectin-3 de-termination in the serum blood and lymphocytes of patients with arterial hypertension and corona-virus disease (COVID-19).

Methods::
The patients were divided into two groups: Group 1 consisted of 36 individuals with AH, Group 2 included 35 patients with arterial hypertension and polysegmental COVID-19 pneumonia, and 16 practically healthy individuals were included in the control group. All patients underwent anthropometry, biochemical blood analysis, determination of galectin-3, level in serum and lym-phocytes, IL-1β, IL-6, and echocardiography.

Results::
The highest level of galectin-3 was found in patients of Group 1, while in patients of Group 2, the concentration of galectin-3 was significantly decreased, mostly due to the treatment of COVID-19, in addition to prolonged antihypertensive therapy.

Conclusion::
The level of galectin-3 in serum and lymphocytes was significantly higher in patients of both groups compared to the control group (p<0.05). Arterial hypertension causes structural changes in the cardiovascular system that are associated with elevated levels of galectin-3 in serum and lymphocytes. It can be used as a marker of myocardial damage in the context of arterial hyper-tension and COVID-19.
In silico Evaluation of ACE2 Inhibition by Prunus armeniaca L. and in vivo
Toxicity Study
Authors: Bouadid Ismail , Moujane Soumia , Akdad Mourad , Benaissa Moualij , Eddouks Mohamed 
Published: December 2023

Background:
SARS-CoV-2 is a virus that uses ACE2 to enter the host cell

Aims and Objectives:
This study aimed to evaluate the in silico inhibitory activity of polyphenols
from Prunus armeniaca (P. armeniaca) on angiotensin-converting enzyme 2 (ACE2).

Methods:
The efficacy of phytocompounds from P. armeniaca in inhibiting ACE2 was tested
through molecular docking and dynamic analyses. The toxicological analysis of P. armeniaca
was also evaluated.

Results:
total of twenty polyphenols were docked against the ACE2 active site, and four compounds
showed interesting profiles. In vivo acute toxicity study demonstrated that the aqueous
extract of Prunus armeniaca was safe.

Conclusion:
Four compounds from Prunus armeniaca seem to exert an inhibitory potential of
ACE2
Performance Test of a Well-Trained Model for Meningioma Segmentation in Health Care Centers: Secondary Analysis Based on Four Retrospective Multicenter Data Sets
Authors: Chen Chaoyue , Teng Yuen , Tan Shuo , Wang Zizhou , Zhang Lei , Xu Jianguo 
Published: December 2023

Background
Convolutional neural networks (CNNs) have produced state-of-the-art results in meningioma segmentation on magnetic resonance imaging (MRI). However, images obtained from different institutions, protocols, or scanners may show significant domain shift, leading to performance degradation and challenging model deployment in real clinical scenarios.

Objective
This research aims to investigate the realistic performance of a well-trained meningioma segmentation model when deployed across different health care centers and verify the methods to enhance its generalization.

Methods
This study was performed in four centers. A total of 606 patients with 606 MRIs were enrolled between January 2015 and December 2021. Manual segmentations, determined through consensus readings by neuroradiologists, were used as the ground truth mask. The model was previously trained using a standard supervised CNN called Deeplab V3+ and was deployed and tested separately in four health care centers. To determine the appropriate approach to mitigating the observed performance degradation, two methods were used: unsupervised domain adaptation and supervised retraining.

Results
The trained model showed a state-of-the-art performance in tumor segmentation in two health care institutions, with a Dice ratio of 0.887 (SD 0.108, 95% CI 0.903-0.925) in center A and a Dice ratio of 0.874 (SD 0.800, 95% CI 0.854-0.894) in center B. Whereas in the other health care institutions, the performance declined, with Dice ratios of 0.631 (SD 0.157, 95% CI 0.556-0.707) in center C and 0.649 (SD 0.187, 95% CI 0.566-0.732) in center D, as they obtained the MRI using different scanning protocols. The unsupervised domain adaptation showed a significant improvement in performance scores, with Dice ratios of 0.842 (SD 0.073, 95% CI 0.820-0.864) in center C and 0.855 (SD 0.097, 95% CI 0.826-0.886) in center D. Nonetheless, it did not overperform the supervised retraining, which achieved Dice ratios of 0.899 (SD 0.026, 95% CI 0.889-0.906) in center C and 0.886 (SD 0.046, 95% CI 0.870-0.903) in center D.

Conclusions
Deploying the trained CNN model in different health care institutions may show significant performance degradation due to the domain shift of MRIs. Under this circumstance, the use of unsupervised domain adaptation or supervised retraining should be considered, taking into account the balance between clinical requirements, model performance, and the size of the available data.
Producción científica en revistas mexicanas de enfermería: análisis descriptivo y bibliométrico del periodo 2016-2020
Authors: Landeros-Olvera E. , Ramírez-Girón N. , Galicia-Aguilar R.M. , Alba-Alba C. , Lozada-Perezmitre E. , Rodríguez-Hernández M.J. 
Published: December 2023

Introducción: Los análisis bibliométricos de la producción de conocimiento en enfermería han permitido mostrar la evolución de temáticas específicas. Por ello, se requiere de una métrica que facilite la organización y categorización para mostrar áreas de oportunidad y mejorar la calidad de la investigación.
Objetivo: Describir las temáticas y características metodológicas de la investigación en enfermería publicada en revistas mexicanas a través de un análisis bibliométrico.
Metodología: Estudio ex post facto retrospectivo y bibliométrico. Se analizaron 354 artículos originales por medio de los siguientes indicadores: análisis descriptivo y de la productividad, de colaboración, metodológico y temático-conceptual.
Resultados: Se obtuvieron 354 artículos escritos por 1194 autores, con índices de Zakutina y Priyenikova 34.06, Lawani 3.94 y Subramanyam 0.987, tasa de autoría endógena de 29 %. El 43.5 % de las investigaciones se realizaron en áreas hospitalarias, enfocadas preferentemente al cuidado en cronicidad y adultos mayores. En los estudios cuantitativos predominaron los diseños descriptivos y transversales; más del 90 % no indicaron financiamiento. Entre los estudios cualitativos, el diseño fenomenológico tuvo mayor preferencia, la entrevista audiograbada fue la principal herramienta de indagación y en el nivel de análisis destacó la codificación abierta.
Discusión y conclusiones: Se identifica un incremento de producción científica en el primer nivel de atención con relación a estudios anteriores; sin embargo, predomina la investigación sobre temas clínico-hospitalarios. El uso de los indicadores bibliométricos representa una aproximación inédita a las características de las publicaciones de investigación en las revistas de enfermería mexicanas.