bluuebunny/crossref_metadata_2025_split huggingface dataset:
Childhood predictors of inner peace: A cross-national analysis of the Global Flourishing Study
Authors: Lomas Tim , Padgett R. Noah , Ritchie-Dunham James L. , Lee Matthew T. , Pawelski James O. , Shiba Koichiro , Johnson Byron R. , VanderWeele Tyler J. 
Published: August 2024

Abstract

Great efforts have been expended studying how people’s childhood affects outcomes later in life. Although attention has mostly focused on ‘negative’ outcomes, such as mental illness, paradigms like positive psychology have encouraged interest in desirable phenomena too. Yet amidst this ‘positive turn’ some desiderata have still received scant engagement, including inner peace. This lacuna perhaps reflects the Western-centric nature of academia, with low arousal positive emotions being relatively undervalued in the West. But aligning with broader efforts to redress this Western-centricity is an emergent literature on this topic. This report adds to this by presenting the most ambitious study to date of inner peace, namely as an item – “In general, how often do you feel you are at peace with your thoughts and feelings?” – in the Global Flourishing Study, an intended five-year study investigating the predictors of human flourishing involving (in this first year) 202,898 participants from 22 countries. This paper looks at the childhood predictors of peace, using random effects meta-analysis to aggregate all findings, focusing on three research questions. First, how do recalled aspects of a child's upbringing predict peace in adulthood, for which the most impactful factor on average was self-rated health growing up, with Risk Ratios spanning, relative to “good”, 0.93 for “poor” (95% CI [0.88,0.99]) to 1.07 for “excellent” (95% CI [1.04,1.11]). Second, do associations vary by country, with the effect of poor self-rated health spanning 0.37 in Türkiye (95% CI [0.18,0.77]) to 1.19 in Nigeria (95% CI [1.08,1.31]). Third, are relationships robust to potential unmeasured confounding, as assessed by E-values, for which the effect of poor health growing up is robust up to unmeasured confounder association risk ratios of 1.36 with inner peace. These results shed new valuable light on the long-term causal dynamics of this overlooked topic.
Research on Model Predictive Control Strategy of Three-level Dual-Active Bridge DC-DC Converter
Authors: Wang Junrui , Tan Lu , Li Jin , Ji Changjiang 
Published: August 2024

Abstract

A model predictive control strategy for Zero Voltage Switching (ZVS) was proposed for the mid-point clamp three-level dual Active Bridge (DAB) DC-DC converter. Through the switching conduction mode of the three-level DAB converter, the working conditions of the inductor current in each mode are analyzed, and the range of zero-voltage turn-on of all switches of the three-level DAB under single phase shift (SPS) modulation is derived. The spatial equation of state is established according to each mode, the purpose of fast response is achieved through the cost function, and finally the predictive control strategy of the three-level DAB model with zero voltage turn-on is obtained discretically. Simulation results show that the output voltage of the control strategy can be quickly stabilized under the load mutation condition when the converter realizes the zero voltage opening of all open tubes, which not only reduces the loss of the switch tubes, but also makes the system have faster dynamic response ability.
Fast-kinetics and high-compatibility aqueous cadmium-metal battery for next-generation energy storage infrastructures
Authors: Yang Hui Ying , Cui Yang-Feng , Song Haobin , Yao Jingjing , Hao Qi , Li Xue Liang , Li Yifan , Guo Binbin , Zhu Yunhai 
Published: August 2024

Abstract

Aqueous metal batteries have the potential to revolutionize the next-generation energy storage infrastructures due to their high energy density, high safety and low cost. However, two major issues of dendrite growth and corrosion reactions in metal anodes have hindered the deployment of this technology. To address these issues, we report an ideal candidate: aqueous cadmium-metal battery (ACB). The metal cadmium (Cd) anode not only shows a high specific capacity (476.5 mAh g-1) but also offers suitable redox potential (-0.4 V versus standard hydrogen electrode). Additionally, we introduce this ACB operating with a low-cost chloride electrolyte composed of CdCl2 and NH4Cl in water. The inclusion of NH4Cl reconstructs the hydrogen bond network of aqueous electrolyte and forms tetrachlorocomplex ([CdCl4]2-), which facilitate ultrafast reaction kinetics in ACBs and endow dendrite-free/corrosion-resistant capabilities in Cd anodes. Consequently, the tailored electrolyte achieves a convincing Coulombic efficiency (99.93%) for Cd plating/stripping behavior at a high anode utilization of 55.5%, making it suitable for practical applications. More importantly, the ACBs demonstrate outstanding compatibility paired with coordination-type, intercalation-type and capacitance-type cathodes, exhibiting excellent high-/low-rate and long-term rechargeable capabilities. On a practical note, the high-load ACB with a low negative-to-positive capacity ratio of 1.91 delivers an impressive lifespan of 800 cycles. In summary, our work suggests a practical aqueous battery capable of supporting robust energy storage infrastructures.
Expression Analysis of OsGBSSI and OsGS3 Genes, and Investigation of Morphological and Biochemical Characteristics across Diverse Rice (Oryza sativa L.) Genotypes
Authors: JAYHOON ALISINA , Kumar Pushpendra , Yadav Manoj Kumar , Kumar Mukesh , Singh Shiv Kumar 
Published: August 2024

Abstract

Background
Quality in the rice value chain encompasses a wide range of features and attributes that are defined by consumers based on their food preferences and habits.
Scope and approach:
we grown two aromatic basmati, one aromatic non-basmati and one non-aromatic rice genotypes during Kharif season 2021–2022 at SVP university research field for grain quality studies. Then we analyzed grain quality based on (i) morphological and physical parameters, (ii) biochemical traits, and (iii) grain quality related gene expression analysis.
Key findings and conclusion:
aromatic basmati genotypes and non-aromatic genotype shared similarities, whereas aromatic non-basmati genotype exhibited dissimilarities in terms of morphological traits. Aromatic basmati genotypes exhibited superior grain quality and yield traits, including elevated panicle length, high 1000-grain weight, extra-long slender grain, high grain elongation ratio (> 1.6), strong aroma, soft gel consistency, high alkali spreading value and intermediate amylose content as compared to both aromatic non-basmati and non-aromatic genotypes. Gene expression analysis revealed that that aromatic basmati genotype (PB-1121) had higher expression level and genotype (NVB-1) exhibited same expression level of GBSSI gene while aromatic basmati genotype showed less expression level of GS3 gene, it was 256 fold lower expression in comparison to control. Aromatic non-basmati genotype had 32 fold lower expression level of GBSSI gene and same expression level of GS3 gene as compared to control.
Identification of drought stress-responsive genes in Korean fir (Abies koreana) through comparative RNA-seq analysis
Authors: Park Hyeong Cheol , Hwang Jung Eun 
Published: August 2024

Abstract

Background
Abies koreana, an endangered species sensitive to drought, faces severe decline due to climate change-induced water deficit.
Results
In this study, we performed a comprehensive transcriptomic analysis of A. koreana under drought stress. RNA-seq data analysis revealed 85,403 contigs of extended lengths, indicative of a high-quality assembly. Gene Ontology classification revealed strong drought stress-responsive regulation of unigenes associated with various biological processes, cellular components, and molecular functions. Gene expression levels showed variation at different time points, indicating a nuanced plant response. Numerous transcription factors, notably those belonging to ERF, MYB, LBD, and NAC families, were identified, underscoring their critical roles in drought tolerance. Finally, qRT-PCR validation confirmed the reliability of RNA-seq data.
Conclusion
Overall, this study reveals candidate genes required for drought tolerance in A. koreana, thus supporting future tree breeding programs for effective forest management.
NOTCH1 collaborated with innate immune to regulate genomic instability caused by epigenetic enzyme deletion in cold tumor
Authors: Duan xiaojun , Zhang Mingyang , Li Kexin , Wu Rihan , Yu Lei , Bai Jing , Liu Pengxia , Wang Changshan 
Published: August 2024

Abstract

NOTCH1 was unfavorable to tumor immunoinfiltration in cold tumors. Targeting NOTCH1 for effective immunotherapy has been a challenge. Single cell data analysis found NOTCH1 signaling was gradually activated as lung inflammatory disease progressed. We found that NOTCH1 was highly expressed in proliferating airway epithelial cells of Lung squamous cell carcinoma (LUSC) tumor tissues. Database data analysis found NOTCH1 had adverse effects on tumor innate immunity and immune cell infiltration in LUSC.
The function of NOTCH1 was related to protein alkylation, which may caused by KDM4A and SETD2. By constructing KDM4A and SETD2 gene knockout cell lines to simulate different genomic instability cell lines. The knockdown therapy of NOTCH1 was further studied in the above cell lines. IRF3-p and IFNB1 was significantly elevated in KDM4A and NOTCH1 double-knocked down cell lines, which also with the higher DNA damage and the cell apoptosis. However, the opposite trend was seen in SETD2 and NOTCH1 double-knocked down cells, which proliferated was more faster.
Metabolomics tests showed NOTCH1 affected folate metabolism and nucleotide synthesis.
Nucleotide synthesis rate-limiting enzyme was significantly increased in KDM4A and NOTCH1 double-knocked down cell lines. Mechanically, NOTCH1 knockdown caused significant up-regulation of TBK1-p protein. NOTCH1 acted synergistically with TBK1 which depended cGAS/STING signal and ATM-p to regulate nucleotide synthesis rate-limiting enzymes. The overactived cGAS/STING signal and nucleotide synthesis rate-limiting enzymes leaded cells to apoptosis.
Oxidation Behavior of Additively Manufactured Ti-added FeCrAl Alloys
Authors: Fedorova Irina , Kjellen Mikael , Saleem Saud , Karlsson Dennis , Meurling Fredrik , Berglund Roger 
Published: August 2024

Abstract

Additions of titanium nitrides (TiN) can reduce cracking sensitivity of FeCrAl alloys manufactured by laser powder bed fusion through grain refinement. However, the oxidation behavior of TiN-added FeCrAl alloys is not reported up to date. In the present work, high-temperature oxidation of additively manufactured (AM) FeCrAl alloys with Ti additions from 0.5 to 1.1 w.%. has been studied in air at 1250°C during 1000 h. The AM Ti-added FeCrAl alloys have shown a higher oxidation rate than their cast reference alloy. The degradation kinetics during high-temperature exposure of the model AM alloy are described and discussed with respect to the microstructural examination. The Ti addition is shown to affect the spallation kinetics. The formation of TiN precipitates at the metal/oxide interface and their growth within the alumina scale during the exposure at 1250°C was revealed for the first time in FeCrAl material.
Use of In Situ SEM Multiple Cracking Test to Correlate Crack Propagation Mode with Acoustic Emission Signals in Thermal Oxide Scales: Application to Ni/NiO System
Authors: Houde S. , Marteau J. , Favergeon J. 
Published: August 2024

Abstract

Multicracking tests are carried out in an SEM on nickel specimens pre-oxidized at high temperature. These tests are monitored by acoustic emission. By combining the analysis of the acoustic emission signals with SEM observations of the specimens, it is possible to find the signatures of the two active crack propagation modes. In mode I (propagation perpendicular to the metal-oxide interface), the acoustic emission signals have high amplitudes and short durations, whereas for propagation in mode II (along the metal-oxide interface), the AE signals have low amplitudes and long durations.
Health Assessment of a 15-Minute Life Circle Around Rail Transit Based on the EWR-TOPSIS Method
Authors: Gui Wangyang , Guo Yifei , Cheng Mengnan , Xu Bin 
Published: August 2024

Abstract

Integrating the construction of 15-minute living circles with the TOD (Transit-Oriented Development) concept to optimize residents' travel patterns, improve healthy development levels, and form a collaborative governance and sharing structure has become a crucial issue in contemporary urban development.This paper uses the 15-minute living circles around the Hefei Metro Line 1 stations as the research object, employing the Entropy Weight Method (EWM) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Indicators were sorted from aspects of healthy travel, healthy environment, and healthy living to establish an evaluation system and quantify the health assessment of the 15-minute living circle. The findings include:1) In the spatial dimension, optimizing spatial layout enhances the competitiveness of public transportation, reduces residents' dependence on private cars, and promotes the formation of healthy travel patterns.2) In the temporal dimension, the improvement of the metro network and the increase in health facilities within the living circle diversify and facilitate residents' travel modes. Additionally, long-term construction of a healthy environment and changes in living habits help enhance overall urban health levels, creating a positive cycle.3) Optimizing the integration of the 15-minute living circle and the TOD concept requires strengthening planning and design, enhancing public transportation services, advancing healthy environment construction, promoting community participation, and implementing health education to further improve the health construction level of the 15-minute living circle.The construction of the 15-minute living circle around metro stations has driven the integrated development of metropolitan areas, enhanced the competitiveness of public transportation, and responded to the global health agenda.
Smart Irrigation for Sustainable Farming: Low- Cost IoT Solution
Authors: Akhtar Md. Amir Khusru , Sinha Prashant Kumar , Kumar Mohit , Verma Sahil , Khurma Ruba Abu , Shah Mohd Asif , Mallik Saurav 
Published: August 2024

Abstract

This article presents a low-cost irrigation system that harnesses the power of IoT technologies to revolutionize water management practices and enhance agricultural productivity. The system uses soil moisture sensors, climate sensors, and temperature sensors that communicate with a central controlling mechanism. The data collected from the sensors is handled with the help of machine learning algorithms to make automated decisions about irrigation. This system is useful for small-scale farmers who lack access to expensive irrigation technology. The system has undergone field trials and has shown encouraging results. The soil moisture sensors have an average error rate of below 5%, saying that the system can precisely recognize soil moisture levels. The crops grown with the smart irrigation system had a 10% greater yield than the control group, and the system was able to limit water usage by up to 30% in comparison to tradition irrigation techniques. The potential effects of the low-cost smart irrigation system on food security and agriculture in developing countries must be taken into consideration. As water resources become more expensive and scarcer, technology can change irrigation practices and enhance the development of sustainable agriculture. To adapt the system to the unique requirements of small farmers in various regions and to examine the practicality of scaling it up for wider application, more research and development are needed. All things could be done with the low-cost smart irrigation system.
Knowledge of pelvic floor muscles in community-dwelling women aged over 60: its relationship with urinary incontinence
Authors: Akkoç Yesim , Yıldız Necmettin , Yılmaz Bilge , Ersöz Murat , Bardak Ayşe Nur , Erhan Belgin , Köklü Kurtuluş , Tunç Hakan , Paker Nurdan , Özlü Aysun , Kanyilmaz Selcen , Koyuncu Engin , Alemdaroğlu Ebru , Alkan Hakan , Yumuşakhuylu Yasemin , Selbes Esra Cansu , Yıldız Ezgi , Korkmaz Nurdan , Özişler Zuhal , Yardımcı Gökhan , Akıncı Meltem Güneş , Öztekin Saadet Nur Sena , Aksungur Tuğçe , Canbulat Ahmet Tarık 
Published: August 2024

Abstract

Purpose: To investigate the awareness of the pelvic floor muscles (PFMs) and PFM exercises (PFME) knowledge, training and experience in community-dwelling women aged 60 and over and its relationship with urinary incontinence (UI).
Methods: This is a questionnaire based study which was carried out in 9 Physical Medicine and Rehabilitation Centers, including a total of 500 women aged 60 and over and living in the community. The questionnaire included questions about awareness of PFMs, UI complaints and PFME knowledge, training and experience. Knowledge and awareness of PFMs and PFME knowledge, training and experience were compared in subgroups with or without urinary incontinence.
Results: Knowledge and awareness of PFMs and PFME knowledge, training and experience were low in the study population. Knowledge and awareness of PFMs were significantly low in the subgroup with urinary incontinence (p<0.05). Kegel exercise training and experience were significantly low in the subgroup without urinary incontinence (p=0.01, p<0.01).
Conclusion: Knowledge and awareness of PFMs and PFME knowledge, training and experience are low in community-dwelling women aged 60 and over and training programs should be organized to teach the function of the PFMs and to perform PFME correctly in this population.
A history of adnexal surgery and tuberculosis are risk factors for ovarian pregnancy following assisted reproductive technology: a retrospective matched case-control study
Authors: Guo Kaixuan , Yao Zhi , Wen Chengcheng , Ding Hongna , Zhou Xiaojing , Zhang Lin 
Published: August 2024

Abstract

Background
Ovarian pregnancy (OP) is a rare form of ectopic pregnancy that poses significant medical challenges. With the advancement of assisted reproductive technology (ART) in recent decades, the clinical pregnancy rate among infertile women has risen. ART has been linked to the occurrence of OP.
Methods
A retrospective matched case-control study in a single-center setting involved a total of 16,398 infertility patients who underwent IVF/ICSI-ET between January 2007 and June 2018, including 10 women with OP, 16,076 women with intrauterine pregnancy (IUP), and 312 women withtubal pregnancy (TP).These groups were matched according to age (± 1 year) and gestational age (± 7 days) in a ratio of 1:4:4 and were divided into OP group (n = 7), TP group (n = 28), and IUP group (n = 28).The personal and clinical characteristics of patients in different groups were evaluated. Univariate and multivariate logistic regressions were conducted to identify the independent risk factors of OP.
Results
In our study, multivariate logistic regression analysis revealed that a history of adnexal surgery (crude odds ratio [OR] = 5.81, 95% confidence interval [CI]: 1.30–25.97, P = 0.02; adjusted OR = 10.22, 95% CI: 1.57–66.37, P = 0.01) and tuberculosis (TB) history (crude OR = 6.60, 95% CI: 1.28–34.02, P = 0.03; adjusted OR = 12.85, 95% CI: 1.40–117.73, P = 0.02) are risk factors for OP compared to the IUP group. Although the dosage of gonadotropin did not differ among the three groups, a significant disparity was observed in serum β-hCG levels on the 14th day of embryo transfer (P < 0.001). Additionally, OP patients exhibited higher β-hCG levels compared to TP patients (918.35 ± 805.38 vs. 254.29 ± 215.82, P = 0.0005).
Conclusions
Among infertile women undergoing ART, risk factors for OP include a history of adnexal surgery and TB. Furthermore, OP patients tend to have higher β-hCG levels than TP patients on the 14th day of embryo transfer.
Three-dimensional fiber orientation mapping of the human brain at micrometer resolution
Authors: Wang Hui , Ammon William , Jones Robert , Nolan Jackson , Gong Dayang , Maffei Chiara , Edlow Brian , Augustinack Jean , Magnain Caroline , Yendiki Anastasia , Villiger Martin , Fischl Bruce , Liu Chao 
Published: August 2024

Abstract

The accurate measurement of three-dimensional (3D) fiber orientation in the brain is crucial for reconstructing fiber pathways and studying their involvement in neurological diseases. Comprehensive reconstruction of axonal tracts and small fascicles requires high-resolution technology beyond the ability of current in vivo imaging (e.g. diffusion magnetic resonance imaging). Optical imaging methods such as polarization-sensitive optical coherence tomography (PS-OCT) and polarization microscopy can quantify fiber orientation at micrometer resolution but have been limited to two-dimensional in-plane orientation or thin slices, preventing the comprehensive study of connectivity in 3D. In this work we present a novel method to quantify volumetric 3D orientation in full angular space with PS-OCT. We measure the polarization contrasts of the brain sample from two illumination angles of 0 and 15 degrees and apply a computational method that yields the 3D optic axis orientation and true birefringence. We further present 3D fiber orientation maps of entire coronal cerebrum sections and brainstem with 10 μm in-plane resolution, revealing unprecedented details of fiber configurations. We envision that our method will open a promising avenue towards large-scale 3D fiber axis mapping in the human brain as well as other complex fibrous tissues at microscopic level.
Scaling A Blockchain-Based System Via Optimized Load Balancing Among Shards
Authors: Rahman Fahad , Titouna Chafiq , Naït-Abdesselam Farid 
Published: August 2024

Abstract

Blockchain technology, despite its transformative potential, often encounters scalabil-ity challenges that hinder its widespread adoption. This research proposes an innovative approach to improve Blockchain scalability through optimized load balancing by distributing nodes within shards, leveraging different distribution of M/M/k model. To ensure balanced processing, incoming and outgoing queries are handled with distinct distribution methods, reducing idle time and enhancing network traffic management. To validate our approach, we conducted comprehensive performance comparisons with traditional top load balancing techniques, including Round-Robin (RR), Least Connection (LC) and their variants. The results demonstrate that the proposed method significantly outperformed these conventional techniques in terms of load distribution efficiency, response time, and overall system scalability. This study provides a compelling case to adopt our optimized load balancing strategy in Blockchain systems, paving the way for more scalable and robust Blockchain applications.