bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applying Active Learning in Undergraduate Research Methods
Authors: Jeram Sanjay 
Published: September 2023

ABSTRACTThis article introduces a bundle of active learning activities for an introductory undergraduate course in research methods. In particular, the activities aim to help students develop core knowledge and skills that provide a foundation for reading and conducting quantitative and qualitative research. Active learning is a pedagogical practice with well-established benefits such as better student attitudes and improved content comprehension and application. I build on this conventional wisdom by applying a student-centred evaluation method, demonstrating that students perceive active learning as an effective complement to traditional lecturing and assignments for learning core methodological topics in political science.
Pension knowledge in Chile and regional development characteristics
Authors: Inzunza Alejandra , Ruiz Jose 
Published: September 2023

AbstractPension systems increasingly require active involvement from their participants for retirement planning. This leads to the need for a proper level of financial literacy to foster decision-making. Based on the Chilean Social Protection Survey and the Regional Development Index data, specific characteristics related to the region of residence, such as the quality of life, access to job opportunities, and available connectivity tools, are seen to have a positive impact on pension knowledge. Hence, these regional level results provide inputs to policymakers for developing appropriate policies regarding pension knowledge.
Genetic variability, heritability and genetic advance for quantitative traits of Arabica coffee (Coffea arabica L.) genotypes
Authors: Gokavi N. , Gangadharappa P. M. , Sathish D. , Nishani S. , Hiremath J. S. , Koulagi S. 
Published: September 2023

AbstractIn coffee breeding, selection of mother plants based on the yield potential, resistance to diseases and pest and bean quality are considered as the important criteria. Hence, utilisation and evaluation of coffee germplasm is the crucial step in the improvement process. With this background, an experiment was conducted to study the genetic diversity of 41 Arabica coffee genotypes in India during 2020–2021 and 2021–2022. Study reveals that, the analysis of variance revealed significant differences among the genotypes for all the characters studied indicating the presence of variability. Relatively higher values for GCV were observed for number of secondaries per primary (29.77 and 24.84%), total nodes per primary (30.07 and 26.62%), bearing nodes per primary (35.72 and 29.03%), number of flower buds per primary (40.79 and 33.68%), number of fruits per primary (49.64 and 36.39%) and per cent ‘A’ grade bean (37.47 and 37.83%) than PCV indicating the influence of environmental variations is less and prevalence of additive gene action. Similarly, high magnitude of heritability (>80%) combined with a strong genetic advance as per cent of mean (>20%) was established for most of the growth and yield attributing traits including caffeine content and per cent ‘A’ grade bean (100%) during both the years of study 2020–2021 and 2021–2022, respectively indicated better scope for genetic improvement in these character through simple selection. The variability observed among the genotypes should be further confirmed by using the molecular markers.
Suicide rates among patients with first and second primary cancer
Authors: Jiang Yanting , Wang Yiqi , Cheng Xiaofei , Zhou Ziyang , Wang Jili , Yu Haogang , Yao Guorong , Lu Zhongjie , Chen Xin , Yan Senxiang , Zhao Feng 
Published: September 2023

Abstract

Aims
With advancements in cancer treatments, the survival rates of patients with their first primary cancer (FPC) have increased, resulting in a rise in the number of patients with second primary cancer (SPC). However, there has been no assessment on the incidence of suicide among patients with SPC. This study assessed the occurrence of suicide among patients with SPC and compared them with that in patients with FPC.

Methods
This was a retrospective, population-based cohort study that followed patients with FPC and SPC diagnosed from the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) 17 registries database between 1 January 2000 and 31 December 2019.

Results
For patients with SPC, an age of 85+ years at diagnosis was associated with a higher incidence of suicide death (HR, 1.727; 95% CI, 1.075–2.774), while the suicide death was not considerably different in the chemotherapy group (P > 0.05). Female genital system cancers (HR, 3.042; 95% CI, 1.819–6.361) accounted for the highest suicide death among patients with SPC. The suicide death distribution of patients with SPC over time indicated that suicide events mainly occurred within 5 to 15 years of diagnosis. Compared with patients with FPC, patients with SPC in general had a lower risk of suicide, but increased year by year.

Conclusion
The risk of suicide was reduced in patients with SPC compared with patients with FPC, but increased year by year. Therefore, oncologists and related health professionals need to provide continuous psychological support to reduce the incidence of suicide. The highest suicide death was found among patients with female genital system cancer.
Response of dicamba-resistant Palmer amaranth and cotton to malathion applied in conjunction with dicamba
Authors: Foster Delaney C. , Dotray Peter A. , Culpepper Stanley , Steckel Lawrence E. 
Published: September 2023

Abstract
Cotton and soybean growers were offered new technologies in 2016, expanding in-crop herbicide options to include dicamba or 2,4-D. Within 3 yr of commercialization, dicamba use in these crops increased 10-fold, and growers began to report Palmer amaranth escapes in dicamba-tolerant production systems in western Tennessee. In 2020, Palmer amaranth seed was collected from eight Tennessee locations where growers witnessed poor control following dicamba. Greenhouse experiments were conducted to evaluate the response of these Palmer amaranth populations to dicamba. In 2021, field experiments were conducted on two tentative dicamba-susceptible populations in Georgia, on three confirmed dicamba-resistant populations in Tennessee, and on a tentative dicamba-susceptible population in Texas to evaluate cotton response following dicamba and to examine if malathion insecticide (a cytochrome P450 inhibitor) would improve weed control and not reduce cotton yield when applied in conjunction with dicamba. Palmer amaranth populations collected in 2020 survived dicamba in the greenhouse at 1, 2, and 4 times the labeled rate. Five Palmer amaranth populations exhibited 15% to 26% survival to the labeled dicamba rate (560 g ha−1) in the greenhouse. These findings were reinforced in the field when research on three of those populations in 2021 showed 55% control with the labeled dicamba rate and 69% control with 2 times the labeled rate. This demonstrates that the dicamba resistance allele or alleles were passed between generations. This result was not consistent in the Macon County, GA, or Worth County, GA, locations, where malathion improved dicamba control of 15- to 38-cm-tall Palmer amaranth. Cotton injury was observed when malathion was applied in combination with dicamba. These results further document the evolution of dicamba-resistant Palmer amaranth in Tennessee. Moreover, the nonreversal of resistance phenotype by malathion may suggest that the resistance mechanism is something other than metabolism.
Mapping the Structure and Metasomatic Enrichment of the Lithospheric Mantle Beneath the Kimberley Craton, Western Australia
Authors: Sudholz Z. J. , Jaques A. L. , Yaxley G. M. , Taylor W. R. , Czarnota K. , Haynes M. W. , Frewer L. , Ramsay R. R. , Downes P. J. , Cooper S. A. 
Published: September 2023

AbstractThe lithology, geochemistry, and architecture of the continental lithospheric mantle (CLM) underlying the Kimberley Craton of north‐western Australia has been constrained using pressure‐temperature estimates and mineral compositions for >5,000 newly analyzed and published garnet and chrome (Cr) diopside mantle xenocrysts from 25 kimberlites and lamproites of Mesoproterozoic to Miocene age. Single‐grain Cr diopside paleogeotherms define lithospheric thicknesses of 200–250 km and fall along conductive geotherms corresponding to a surface heat flow of 37–40 mW/m2. Similar geotherms derived from Miocene and Mesoproterozoic intrusions indicate that the lithospheric architecture and thermal state of the CLM has remained stable since at least 1,000 Ma. The chemistry of xenocrysts defines a layered lithosphere with lithological and geochemical domains in the shallow (<100 km) and deep (>150 km) CLM, separated by a diopside‐depleted and seismically slow mid‐lithosphere discontinuity (100–150 km). The shallow CLM is comprised of Cr diopsides derived from depleted garnet‐poor and spinel‐bearing lherzolite that has been weakly metasomatized. This layer may represent an early (Meso to Neoarchean?) nucleus of the craton. The deep CLM is comprised of high Cr2O3garnet lherzolite with lesser harzburgite, and eclogite. The peridotite components are inferred to have formed as residues of polybaric partial mantle melting in the Archean, whereas eclogite likely represents former oceanic crust accreted during Paleoproterozoic subduction. This deep CLM was metasomatized by H2O‐rich melts derived from subducted sediments and high‐temperature FeO‐TiO2melts from the asthenosphere.
Reconstruction of Polarization Properties of Whistler Waves From Two Magnetic and Two Electric Field Components: Application to Parker Solar Probe Measurements
Authors: Colomban L. , Agapitov O. V. , Krasnoselskikh V. , Kretzschmar M. , Dudok de Wit T. , Karbashewski S. , Mozer F. S. , Bonnell J. W. , Bale S. , Malaspina D. , Raouafi N. E. 
Published: September 2023

AbstractThe search‐coil magnetometer (SCM) aboard Parker Solar Probe (PSP) measures the 3 Hz to 1 MHz magnetic field fluctuations. During Encounter 1, the SCM operated as expected; however, in March 2019, technical issues limited subsequent encounters to two components for frequencies below 1 kHz. Detrimentally, most whistler waves are observed in the affected frequency band where established techniques cannot extract the wave polarization properties under these conditions. Fortunately, the Electric Field Instrument aboard PSP measures two electric field components and covers the affected bandwidth. We propose a technique using the available electromagnetic fields to reconstruct the missing components by neglecting the electric field parallel to the background magnetic field. This technique is applicable with the assumptions of (a) low‐frequency whistlers in the plasma frame relative to the electron cyclotron frequency; (b) a small propagation angle with respect to the background magnetic field; and (c) a large wave phase speed relative to the cross‐field solar wind velocity. Critically, the method cannot be applied if the background magnetic field is aligned with the affected SCM coil. We have validated our method using burst mode measurements made before March 2019. The reconstruction conditions are satisfied for 80% of the burst mode whistlers detected during Encounter 1. We apply the method to determine the polarization of a whistler event observed after March 2019 during Encounter 2. Our novel method is an encouraging step toward analyzing whistler properties in affected encounters and improving our understanding of wave‐particle interactions in the young solar wind.
Stochastic Analysis of the Drawdown Time of Infiltration Basins in the Presence of Heterogeneous Soils
Authors: Ferrante Marco , Fiori Aldo 
Published: September 2023

AbstractThe drawdown time is important for the design and assessment of infiltration basins. This paper investigates its dependence on soil heterogeneity, and simple analytical solutions for the mean and the variance are given. The solutions are tested through Monte Carlo simulations in various realistic scenarios, using a modified Green Ampt model for layered soils and a model based on the integration of the 1‐D Richards equation. The impact of the employed approximations is assessed, and the leading role of the spatial distribution of the saturated hydraulic conductivity is emphasized. The effects of other relevant design and natural factors, including the initial water level and water content distribution, are also investigated.
Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model
Authors: Wu Junhao , Wang Zhaocai , Dong Jinghan , Cui Xuefei , Tao Sen , Chen Xi 
Published: September 2023

AbstractAccurate runoff forecasting plays a vital role in issuing timely flood warnings. Whereas, previous research has primarily focused on historical runoff and precipitation variability while disregarding other factors' influence. Additionally, the prediction process of most machine learning models is opaque, resulting in low interpretability of model predictions. Hence, this study develops an ensemble deep learning model to forecast runoff from three hydrological stations. Initially, time‐varying filtered based empirical mode decomposition is employed to decompose the runoff series into several internal mode functions (IMFs). Subsequently, the complexity of each IMF component is evaluated by the multi‐scale permutation entropy, and the IMFs are classified into high‐ and low‐frequency portions based on entropy values. Considering the high‐frequency portions still exhibit great volatility, robust local mean decomposition is adopted to perform secondary decomposition of the high‐frequency portions. Then, the meteorological variables processed by the Relief algorithm and variance inflation factor features are employed as inputs, the individual subsequences of secondary and preliminary decomposition as outputs to the bidirectional gated recurrent unit and extreme learning machine models. Random forests (RF) are introduced to nonlinear ensemble the individual predicted sub‐models to obtain the final prediction results. The proposed model outperforms other models in various evaluation metrics. Meanwhile, due to the opaque nature of machine learning models, shapley is employed to assess the contribution of each selected meteorological variable to the long‐term trend of runoff. The proposed model could serve as an essential reference for precise flood prediction and timely warning.
Achromatic diffractive liquid-crystal optics for virtual reality displays
Authors: Luo Zhenyi , Li Yannanqi , Semmen John , Rao Yi , Wu Shin-Tson 
Published: September 2023

AbstractDiffractive liquid-crystal optics is a promising optical element for virtual reality (VR) and mixed reality as it provides an ultrathin formfactor and lightweight for human factors and ergonomics. However, its severe chromatic aberrations impose a big challenge for full-color display applications. In this study, we demonstrate an achromatic diffractive liquid-crystal device to overcome this longstanding chromatic aberration issue. The proposed device consists of three stacked diffractive liquid crystal optical elements with specifically designed spectral response and polarization selectivity. The concept is validated by both simulations and experiments. Our experimental results show a significant improvement in imaging performance with two types of light engines: a laser projector and an organic light-emitting diode display panel. In addition, our simulation results indicate that the lateral color shift is reduced by ~100 times in comparison with conventional broadband diffractive liquid-crystal lens. Potential applications for VR-enabled metaverse, spatial computing, and digital twins that have found widespread applications in smart tourism, smart education, smart healthcare, smart manufacturing, and smart construction are foreseeable.
High-throughput terahertz imaging: progress and challenges
Authors: Li Xurong , Li Jingxi , Li Yuhang , Ozcan Aydogan , Jarrahi Mona 
Published: September 2023

AbstractMany exciting terahertz imaging applications, such as non-destructive evaluation, biomedical diagnosis, and security screening, have been historically limited in practical usage due to the raster-scanning requirement of imaging systems, which impose very low imaging speeds. However, recent advancements in terahertz imaging systems have greatly increased the imaging throughput and brought the promising potential of terahertz radiation from research laboratories closer to real-world applications. Here, we review the development of terahertz imaging technologies from both hardware and computational imaging perspectives. We introduce and compare different types of hardware enabling frequency-domain and time-domain imaging using various thermal, photon, and field image sensor arrays. We discuss how different imaging hardware and computational imaging algorithms provide opportunities for capturing time-of-flight, spectroscopic, phase, and intensity image data at high throughputs. Furthermore, the new prospects and challenges for the development of future high-throughput terahertz imaging systems are briefly introduced.
Scattering exceptional point in the visible
Authors: He Tao , Zhang Zhanyi , Zhu Jingyuan , Shi Yuzhi , Li Zhipeng , Wei Heng , Wei Zeyong , Li Yong , Wang Zhanshan , Qiu Cheng-Wei , Cheng Xinbin 
Published: September 2023

AbstractExceptional point (EP) is a special degeneracy of non-Hermitian systems. One-dimensional transmission systems operating at EPs are widely studied and applied to chiral conversion and sensing. Lately, two-dimensional systems at EPs have been exploited for their exotic scattering features, yet so far been limited to only the non-visible waveband. Here, we report a universal paradigm for achieving a high-efficiency EP in the visible by leveraging interlayer loss to accurately control the interplay between the lossy structure and scattering lightwaves. A bilayer framework is demonstrated to reflect back the incident light from the left side ( | r−1 | >0.999) and absorb the incident light from the right side ( | r+1 | < 10–4). As a proof of concept, a bilayer metasurface is demonstrated to reflect and absorb the incident light with experimental efficiencies of 88% and 85%, respectively, at 532 nm. Our results open the way for a new class of nanoscale devices and power up new opportunities for EP physics.
A 96-wells fluidic system for high-throughput screenings under laminar high wall shear stress conditions
Authors: Fonseca Catarina Gonçalves , Silvério Vânia , Barata David , Giese Wolfgang , Gerhardt Holger , Cardoso Susana , Franco Claudio Areias 
Published: September 2023

AbstractThe ability of endothelial cells to respond to blood flow is fundamental for the correct formation and maintenance of a functional and hierarchically organized vascular network. Defective flow responses, in particular related to high flow conditions, have been associated with atherosclerosis, stroke, arteriovenous malformations, and neurodegenerative diseases. Yet, the molecular mechanisms involved in high flow response are still poorly understood. Here, we described the development and validation of a 96-wells fluidic system, with interchangeable cell culture and fluidics, to perform high-throughput screenings under laminar high-flow conditions. We demonstrated that endothelial cells in our newly developed 96-wells fluidic system respond to fluid flow-induced shear stress by aligning along the flow direction and increasing the levels of KLF2 and KLF4. We further demonstrate that our 96-wells fluidic system allows for efficient gene knock-down compatible with automated liquid handling for high-throughput screening platforms. Overall, we propose that this modular 96-well fluidic system is an excellent platform to perform genome-wide and/or drug screenings to identify the molecular mechanisms involved in the responses of endothelial cells to high wall shear stress.
Mechanism of outer membrane destabilization by global reduction of protein content
Authors: Mikheyeva Irina V. , Sun Jiawei , Huang Kerwyn Casey , Silhavy Thomas J. 
Published: September 2023

AbstractThe outer membrane (OM) of Gram-negative bacteria such asEscherichia coliis an asymmetric bilayer with the glycolipid lipopolysaccharide (LPS) in the outer leaflet and glycerophospholipids in the inner. Nearly all integral OM proteins (OMPs) have a characteristic β-barrel fold and are assembled in the OM by the BAM complex, which contains one essential β-barrel protein (BamA), one essential lipoprotein (BamD), and three non-essential lipoproteins (BamBCE). A gain-of-function mutation inbamAenables survival in the absence of BamD, showing that the essential function of this protein is regulatory. Here, we demonstrate that the global reduction in OMPs caused by BamD loss weakens the OM, altering cell shape and causing OM rupture in spent medium. To fill the void created by OMP loss, phospholipids (PLs) flip into the outer leaflet. Under these conditions, mechanisms that remove PLs from the outer leaflet create tension between the OM leaflets, which contributes to membrane rupture. Rupture is prevented by suppressor mutations that release the tension by halting PL removal from the outer leaflet. However, these suppressors do not restore OM stiffness or normal cell shape, revealing a possible connection between OM stiffness and cell shape.
Inducing multiple nicks promotes interhomolog homologous recombination to correct heterozygous mutations in somatic cells
Authors: Tomita Akiko , Sasanuma Hiroyuki , Owa Tomoo , Nakazawa Yuka , Shimada Mayuko , Fukuoka Takahiro , Ogi Tomoo , Nakada Shinichiro 
Published: September 2023

AbstractCRISPR/Cas9-mediated gene editing has great potential utility for treating genetic diseases. However, its therapeutic applications are limited by unintended genomic alterations arising from DNA double-strand breaks and random integration of exogenous DNA. In this study, we propose NICER, a method for correcting heterozygous mutations that employs multiple nicks (MNs) induced by Cas9 nickase and a homologous chromosome as an endogenous repair template. Although a single nick near the mutation site rarely leads to successful gene correction, additional nicks on homologous chromosomes strongly enhance gene correction efficiency via interhomolog homologous recombination (IH-HR). This process partially depends on BRCA1 and BRCA2, suggesting the existence of several distinct pathways for MN-induced IH-HR. According to a genomic analysis, NICER rarely induces unintended genomic alterations. Furthermore, NICER restores the expression of disease-causing genes in cells derived from genetic diseases with compound heterozygous mutations. Overall, NICER provides a precise strategy for gene correction.