bluuebunny/crossref_metadata_2025 huggingface dataset:
The Potential of Elephantorrhiza goetzei Seed Extract as a Coagulant for Household Drinking Water Treatment
Authors: Diver Denzil , Nhapi Innocent , Ruziwa Walter , Wang Hongtao , Li Fengting
Published: August 2024

Poor access to adequate, clean, and safe water is one of the greatest world problems people encounter. There has been considerable attention in recent times toward the use of natural coagulants for water treatment. This study seeks to promote this by investigating the potential of Elephantorrhiza goetzei (E. goetzei) seed extract as natural coagulants for water treatment. This included the determination of key ingredients responsible for the coagulation process and optimal dosages for the removal of turbidity, fluoride, manganese, and iron. The residual content of organic matter in the treated water and the quality of sludge produced were also investigated. The methodology consisted of a proximate analysis procedure to investigate the active ingredient(s) responsible for coagulation and standard jar tests. Standard methods were used for the analyses. Coagulant dosages ranging from 0 to 300 mg/L at a rapid mixing speed of 120 rpm for 1 min, a slow mixing speed of 30 rpm for 15 min, and a settling time of 15 min were used for the jar test. The analysis of variance (ANOVA) using IBM SPSS Version 20 was conducted, and regression models were developed to determine the effect of coagulant dosage on turbidity, pH, total dissolved solids, fluoride, iron, manganese, chemical oxygen demand (COD), nitrogen, and phosphorus. The results obtained from the proximate analysis of E. goetzei seed extract show that values of 5.25%, 21.40%, 8.23%, 32.99%, 2.20%, and 29.93% were obtained for moisture, crude protein, crude fiber, fat, ash, and carbohydrate content, respectively. Moreover, seed extract of E. goetzei achieved removal efficiencies up to 94.8%, 50.1%, 90.0%, and 53.9% for turbidity, fluoride, iron, and manganese in water, respectively. The coagulant has the potential to achieve the desired World Health Organization (WHO) drinking water standards for turbidity, fluoride, iron, and manganese. The COD increased from 55.3 to 419.3 mg/L as the coagulant dosage increased from 0 to 100 mg/L. This could cause an unwanted rise in microbial activities, affecting the microbiological quality of the treated water. The total nitrogen and phosphorus concentrations obtained in the sludge at 100 mg/L were 0.343 and 0.194 µg/kg, respectively, and this compromises its attractiveness for agricultural reuse purposes.
Dye Removal From Tannery Wastewater Utilizing Footwear Waste: A Sustainable Approach
Authors: Shakil Saidur Rahman , Paul Adhir Chandra , Abdulla‐Al‐Mamun Md. , Thirtho Sainik Roy , Naim Mustafizur Rahman
Published: August 2024

Waste‐to‐3R (reduce, reuse, and recycle) is a promising mass balance approach in the leather sector for addressing the current challenge of overproduction of rubber sole waste in the footwear industry and dye pollution in tanneries. In this study, low‐cost charcoal derived from discarded natural rubber (NR) soles was effectively employed to remove anionic and cationic dyes from a model tannery dye solution, aligning with mass balance approaches in the leather sector. Discarded rubber charcoal (DRC) was prepared at 350°C using a self‐fabricated pyrolytic cell. The resulting charcoal was then dried, ground, and separated through 40‐mesh size lab‐scale sieves, and it was subsequently employed for the removal of dyes from tannery wastewater. The dye removal performance was optimized by adjusting parameters such as dosage, pH, contact time, and concentration. The maximum adsorption capacity and removal efficiency of the anionic acid dye (AD) were found to be 158.22 mg/g and 88.39% at pH 1, respectively, while those of the cationic methylene blue dye were 166.18 mg/g and 85.53% at pH 12, respectively, between 15 and 30 min, depending on the DRC conditions. Fresh charcoal and dye‐loaded charcoal were characterized through Fourier transform infrared spectroscopy, x‐ray diffraction, Brunauer–Emmett–Teller, scanning electron microscope (SEM), and transmission electron microscope with Energy‐Dispersive X‐ray (EDX) Spectroscopy for respective functional groups and morphology studies, and zeta potential measurements were employed to characterize the charcoal surface charge. The SEM image revealed that the shape of the DRC particles resembles a honeycomb structure, with an average size of 573.56 µm. The adsorption kinetic study indicates that the Freundlich isotherm model and pseudo‐second‐order kinetics were well‐fitted for dye removal in this study. The charcoal exhibited robust stability, retaining its capacity of 57.42 mg/g of AD and 44.94 mg/g of MB dye after four reuse cycles. This resilience was observed in treatment with various desorption agents, including HCl, CH3COOH, NaOH, and C2H5OH. The findings of this study suggest that NR‐derived charcoal could be used as a successful substitute for commercial activated carbon in wastewater treatment to get rid of the acid and basic dyes of the leather industry. Based on the observed results, a plausible mechanism was also proposed.
Introduction
Authors: Merian Katharina
Published: August 2024

This study discusses selected memories of Marielle Franco from the perspective of the concept of dangerous memory (Johann Baptist Metz). Franco was a Brazilian human-rights activist and city councilor of Rio de Janeiro who was assassinated on March 14, 2018. Today she is considered an international symbol in the fight for human, women, and LGBTQ+ rights. This work aims to show what meanings people in her surroundings attributed to her life and how they have transformed following her murder. It argues that the memory of Franco transmitted by people who closely interacted with her represents a decolonial dangerous memory of individual and collective self-empowerment of Black women, LGBTQ+ people, and favelados.

The introductory chapter serves to familiarize readers with Franco’s story and the ambiguous reactions to her assassination. It shows that Franco was remembered as a martyr of God’s kingdom to assert her legacy and to defend her memory against attempts of criminalization. Building on this framing, the study is designed as a contribution to constructive political theology. It analyzes memories of Franco’s life, her surroundings, and the events in the aftermath of her assassination, all of which made visible the everyday oppression and resistance of those who live on Rio de Janeiro’s margins.
Clarifying main nutritional aspects and resting energy expenditure in children with Smith-Magenis syndrome
Authors: Proli F. , Sforza E. , Faragalli A. , Giorgio V. , Leoni C. , Rigante D. , Kuczynska E. , Veredice C. , Limongelli D. , Zappalà A. , Rosati J. , Pennuto M. , Trevisan V. , Zampino G. , Onesimo R.
Published: August 2024

Our study aims to define resting energy expenditure (REE) and describe the main nutritional patterns in a single-center cohort of children with Smith-Magenis syndrome (SMS). REE was calculated using indirect calorimetry. Patients’ metabolic status was assessed by comparing measured REE (mREE) with predictive REE (pREE). Patients also underwent multidisciplinary evaluation, anthropometric measurements and an assessment of average energy intake, using a 3-day food diary, which was reviewed by a specialized dietitian. Twenty-four patients (13 M) were included, the median age was 9 years (IC 95%, 6–14 years), 84% had 17p11.2 deletion, and 16% had RAI1 variants. REE was not reduced in SMS pediatric patients, and the mREE did not differ from the pREE. In patients with RAI1 variants (16%, n = 3/24), obesity was more prevalent than those with 17p11.2 deletion (100% vs 38%). Lower proteins intake and higher total energy intake were reported in obese and overweight patients, compared to healthy weight children. No significant difference was found between males and females in energy or macronutrient intake. Conclusions: In SMS, the onset of obesity is not explained by REE abnormalities, but dietary factors seem to be crucial. Greater concern should be addressed to patients with RAI1 variants. A better understanding of the molecular mechanisms causing obesity in SMS patients could set the basis for possible future targeted therapies.

What is Known:• More than 90% of SMS patients after the age of 10 are overweight or obese.

What is New:• Onset of overweight and obesity in SMS pediatric patients is not explained by abnormal resting energy expenditure.• The development of syndrome-specific dietary guidelines for SMS patients should be of utmost relevance and are highly needed.
Schauder estimates for parabolic equations with degenerate or singular weights
Authors: Audrito Alessandro , Fioravanti Gabriele , Vita Stefano
Published: August 2024

We establish some $$C^{0,\alpha }$$

C

0
,
α

and $$C^{1,\alpha }$$

C

1
,
α

regularity estimates for a class of weighted parabolic problems in divergence form. The main novelty is that the weights may vanish or explode on a characteristic hyperplane $$\Sigma $$
Σ
as a power $$a > -1$$

a
>
-
1

of the distance to $$\Sigma $$
Σ
. The estimates we obtain are sharp with respect to the assumptions on coefficients and data. Our methods rely on a regularization of the equation and some uniform regularity estimates combined with a Liouville theorem and an approximation argument. As a corollary of our main result, we obtain similar $$C^{1,\alpha }$$

C

1
,
α

estimates when the degeneracy/singularity of the weight occurs on a regular hypersurface of cylindrical type.
Use of groundwater level measurements to support hydrogeological studies in the Maputo aquifer, Mozambique
Authors: Meng Xue , Zhou Yangxiao , Wang Jinguo , Stigter Tibor , Mussa Fatima , Juizo Dinis , Yang Yun , Xu Xiao
Published: August 2024

High-frequency dataloggers for groundwater level monitoring were used in combination with other tools to analyze tidal effects on groundwater levels (GWLs) in the Maputo aquifer, Mozambique. Power spectral analysis was used to ascertain the dominant periodic components in the tide and GWLs, and cross-spectral analysis was used to determine the lag time between them. Wavelet analysis was applied to investigate changes in periodic components over the measured period in the time-frequency domain. The estimated amplitudes and lag times were then used to estimate aquifer diffusivity and the water-table fluctuation (WTF) method was used to compute groundwater recharge. The results identified a 12.42 h dominant periodic component both in the tide and GWLs in the coastal area. However, GWLs lag behind the tide by 2–4 h, depending on the distance of the observation wells to the coastline. The wavelet analysis results showed no changes in the dominant periodic components over time. The estimated specific storage values for four piezometers were estimated to be 3.19 × 10–5, 5.04 × 10–5 and 1.02 × 10–4 1/m, respectively. Annual groundwater recharge for the young sand dune aquifer was estimated for one piezometer with a specific yield of 0.15–0.25 was within the range of 123–205, 185–309, 504–840 and 244–407 mm, for four hydrological years from 2018 to 2021. Estimated specific storage values and recharge rates are essential inputs to support the construction of transient groundwater models for the Maputo aquifer.
Sea state contributions to thermosteric sea-level in high-resolution ocean-wave coupled simulations
Authors: Bonaduce Antonio , Pham Nam Thanh , Staneva Joanna , Grayek Sebastian , Raj Roshin P. , Breivik Øyvind
Published: August 2024

This study examines the impact of wave-induced processes (WIPs) in modulating thermosteric sea-level changes, highlighting the need to include these processes in future sea-level rise assessments and climate projections. The impact of wave-induced processes on thermosteric sea-level changes is investigated using coupled ocean-wave simulations. These simulations include the effects of Stokes-Coriolis forcing, sea-state dependent surface stress and energy fluxes, and wave-induced mixing. The experiments use a high-resolution configuration of the Geesthacht COAstal Model SysTem (GCOAST), covering the Northeast Atlantic, the North Sea and the Baltic Sea. The GCOAST system uses the Nucleus for European Modelling of the Ocean (NEMO) ocean model to account for wave-ocean interactions and ocean circulation. It is fully coupled with the WAM spectral wind wave model. The aim is to accurately quantify the sea state contribution to thermosteric sea level variability and trends over a 26-year period (1992–2017). The ability of wave-ocean coupled simulations to reveal the contribution of sea state to sea level variability and surge is demonstrated. It is clear that wave-induced processes (WIPs) play a significant role in sea surface dynamics, ocean mixing (mixed layer thickness) and modulation of air-sea fluxes (e.g. heat flux) in both winter (10–20%) and summer (10%), which in turn affect thermosteric sea level variability. The North Atlantic (in summer) and the Norwegian Trench (in winter) show significant contributions (40%) to the thermosteric sea-level variability due to wave-induced processes. The influence of WIPs on thermosteric sea level trends in the North Atlantic is up to the order of 1 mm yr-1 in both winter and summer, in the open ocean and at the shelf break. Smaller contributions are observed over the shelf areas of the North Sea. This study underscores the crucial role of WIPs in modulating sea-level changes and highlights the importance of including these processes in future sea-level rise assessments and climate projections.
Truthful interval covering
Authors: Deligkas Argyrios , Filos-Ratsikas Aris , Voudouris Alexandros A.
Published: August 2024

We initiate the study of a novel problem in mechanism design without money, which we term Truthful Interval Covering (TIC). An instance of TIC consists of a set of agents each associated with an individual interval on a line, and the objective is to decide where to place a covering interval to minimize the total social or egalitarian cost of the agents, which is determined by the intersection of this interval with their individual ones. This fundamental problem can model situations of provisioning a public good, such as the use of power generators to prevent or mitigate load shedding in developing countries. In the strategic version of the problem, the agents wish to minimize their individual costs, and might misreport the position and/or length of their intervals to achieve that. Our goal is to design truthful mechanisms to prevent such strategic misreports and achieve good approximations to the best possible social or egalitarian cost. We consider the fundamental setting of known intervals with equal lengths and provide tight bounds on the approximation ratios achieved by truthful deterministic mechanisms. For the social cost, we also design a randomized truthful mechanism that outperforms all possible deterministic ones. Finally, we highlight a plethora of natural extensions of our model for future work, as well as some natural limitations of those settings.
Performance metrics for multi-step forecasting measuring win-loss, seasonal variance and forecast stability: an empirical study
Authors: Strøm Eivind , Gundersen Odd Erik
Published: August 2024

This paper addresses the evaluation of multi-step point forecasting models. Currently, deep learning models for multi-step forecasting are evaluated on datasets by selecting one error metric that is aggregated across the time series and the forecast horizon. This approach hides insights that would otherwise be useful for practitioners when evaluating and selecting forecasting models. We propose four novel metrics to provide additional insights when evaluating models: 1) a win-loss metric that shows how models perform across time series in the dataset , allowing the practitioner to check whether the model is superior for all series or just a subset of series. 2) a variance weighted metric that accounts for differences in variance across the seasonal period. It can be used to evaluate models for seasonal datasets such as rush hour traffic prediction, where it is desirable to select the model that performs best during the periods of high uncertainty. 3) a delta horizon metric measuring how much models update their forecast for a period in the future over the forecast horizon. Less change to the forecast means more stability over time and is desirable for most forecasting applications. 4) decomposed errors that relate the forecasting error to trend, seasonality, and noise. Decomposing the errors allows the practitioners to identify for which components the model is making more errors and adjust the model accordingly. To show the applicability of the proposed metrics, we implement four deep learning architectures and conduct experiments on five benchmark datasets. We highlight several use cases for the proposed metrics and discuss the applicability in light of the empirical results.
Russian pseudo-conservatism in an international context
Authors: Zhavoronkov Alexey
Published: August 2024

This paper presents a short analysis of the so-called ‘conservative turn’ in contemporary Russia. This ‘turn’ is examined in the context of the previous development of Russian conservatism, particularly its degradation into imitational bureaucratic conservatism in the second half of the nineteenth century. I argue that this ‘new conservatism’ in contemporary Russian politics reflects this degradation and is, in fact, a pseudo-conservatism which has no conservative core but rather an ad hoc (tactical, pseudo-historical, anti-intellectual) character. I also argue that we need to revise our understanding of contemporary autocracies in light of this phenomenon, which is deeply connected to the worldwide crisis of conservatism.
Pre-existing cell subpopulations in primary prostate cancer tumors display surface fingerprints of docetaxel-resistant cells
Authors: Drápela Stanislav , Kvokačková Barbora , Slabáková Eva , Kotrbová Anna , Gömöryová Kristína , Fedr Radek , Kurfürstová Daniela , Eliáš Martin , Študent jr Vladimír , Lenčéšová Frederika , Ranjani Ganji Sri , Pospíchalová Vendula , Bryja Vítězslav , van Weerden Wytske M. , Puhr Martin , Culig Zoran , Bouchal Jan , Souček Karel
Published: August 2024

Purpose

Docetaxel resistance is a significant obstacle in the treatment of prostate cancer (PCa), resulting in unfavorable patient prognoses. Intratumoral heterogeneity, often associated with epithelial-to-mesenchymal transition (EMT), has previously emerged as a phenomenon that facilitates adaptation to various stimuli, thus promoting cancer cell diversity and eventually resistance to chemotherapy, including docetaxel. Hence, understanding intratumoral heterogeneity is essential for better patient prognosis and the development of personalized treatment strategies.

Methods

To address this, we employed a high-throughput single-cell flow cytometry approach to identify a specific surface fingerprint associated with docetaxel-resistance in PCa cells and complemented it with proteomic analysis of extracellular vesicles. We further validated selected antigens using docetaxel-resistant patient-derived xenografts in vivo and probed primary PCa specimens to interrogate of their surface fingerprint.

Results

Our approaches revealed a 6-molecule surface fingerprint linked to docetaxel resistance in primary PCa specimens. We observed consistent overexpression of CD95 (FAS/APO-1), and SSEA-4 surface antigens in both in vitro and in vivo docetaxel-resistant models, which was also observed in a cell subpopulation of primary PCa tumors exhibiting EMT features. Furthermore, CD95, along with the essential enzymes involved in SSEA-4 synthesis, ST3GAL1, and ST3GAL2, displayed a significant increase in patients with PCa undergoing docetaxel-based therapy, correlating with poor survival outcomes.

Conclusion

In summary, we demonstrate that the identified 6-molecule surface fingerprint associated with docetaxel resistance pre-exists in a subpopulation of primary PCa tumors before docetaxel treatment. Thus, this fingerprint warrants further validation as a promising predictive tool for docetaxel resistance in PCa patients prior to therapy initiation.
Regional Rainfall Damage Functions to Estimate Direct Economic Losses in Rainstorms: A Case Study of the 2016 Extreme Rainfall Event in Hebei Province of China
Authors: Chen Xiaojuan , Xu Yifu , Li Ting , Wei Jun , Wu Jidong
Published: August 2024

Developing a regional damage function to quickly estimate direct economic losses (DELs) caused by heavy rain and floods is crucial for providing scientific supports in effective disaster response and risk reduction. This study investigated the factors that influence regional rainfall-induced damage and developed a calibrated regional rainfall damage function (RDF) using data from the 2016 extreme rainfall event in Hebei Province, China. The analysis revealed that total precipitation, asset value exposure, per capita GDP, and historical geological disaster density at both the township and county levels significantly affect regional rainfall-induced damage. The coefficients of the calibrated RDF indicate that doubling the values of these factors leads to varying increases or decreases in rainfall-induced damage. Furthermore, the study demonstrated a spatial scale dependency in the coefficients of the RDF, with increased elasticity values for asset value exposure and per capita GDP at the county level compared to the township level. The findings emphasize the challenges of applying RDFs across multiple scales and highlight the importance of considering socioeconomic factors in assessing rainfall-induced damage. Despite the limitations and uncertainties of the RDF developed, this study contributes to our understanding of the relationship between physical and socioeconomic factors and rainfall-induced damage. Future research should prioritize enhancing exposure estimation and calibrating RDFs for various types of rainfall-induced disasters to improve model accuracy and performance. The study also acknowledges the variation in RDF performance across different physical environments, especially concerning geological disasters and slope stability.
$$(b,\nu )$$-algebras and their twisted modules
Authors: Bautista R. , Pérez E. , Salmerón L.
Published: August 2024

We give an intrinsic characterization of the closure under shifts $$\widehat{{\mathcal {A}}}$$

A
^

of a given strictly unital $$A_\infty $$

A
∞

-category $${{\mathcal {A}}}$$
A
. We study some arithmetical properties of its higher operations and special conflations in the precategory of cocycles $${{\mathcal {Z}}}({{\mathcal {A}}})$$

Z
(
A
)

of its $$A_\infty $$

A
∞

-category of twisted modules. We exhibit a structure for $${{\mathcal {Z}}}(\widehat{{\mathcal {A}}})$$

Z
(

A
^

)

similar to a special Frobenius category. We derive that the cohomology category $$\mathcal{H}(\widehat{{\mathcal {A}}})$$

H
(

A
^

)

appears as the corresponding stable category and then we review how this implies that $${{\mathcal {H}}}(\widehat{\mathcal{A}})$$

H
(

A
^

)

is a triangulated category.
Consumers’ attitudes and intentions toward functional beverages: a lesson for producers and retailers
Authors: Kowalska Aleksandra , Leoniak Krzysztof , Sołowiej Bartosz Grzegorz
Published: August 2024

Functional foods and drinks benefit human health beyond adequate nutritional effects. The rising popularity of functional beverages (FBs) is associated, among others, with their convenience and capacity to meet consumer needs. This research study aimed to explore the predictors of consumers’ intentions toward functional beverages FBs and develop guidelines for how producers and retailers could develop adequate strategies regarding the products. The online questionnaire survey examined consumers’ willingness to purchase (WTP) FBs in three categories: (i) yogurts, kefirs; (ii) isotonic, hypertonic, and hypotonic drinks; (iii) smoothie drinks, and fruit/vegetable cocktails. The questionnaire considered consumers’ values, attitudes, and intentions toward FBs. A four-stage hierarchical multiple regression was undertaken. Predictors of WTP products from the selected groups differed. Women were more willing to buy fruit and vegetable-based FBs than men. Reward from using functional foods was the strongest predictor of consumers’ WTP dairy FBs and sports drinks. We suggest conducting an experimental study in the future, which should allow us to best determine cause-and-effect relationships between values and attitudes and WTP FBs. Food habits are essential determinants of consumer intentions toward FBs; hence, we suggest promoting healthy nutrition habits within public–private partnerships. Retailers that offer health foods and employ societal retailing may disclose this information in sustainability reporting. The originality of this study resides in designing a model for assessing consumers’ attitudes and intentions toward FBs belonging to three selected categories. Previous studies were usually focused on the functional food market in Asian countries. We examined consumers’ WTP FBs in a European country.
Multi-scale morphological analysis of brake lining surface and load-bearing arrangement in the contact
Authors: Baklouti Mouna , Cristol Anne-Lise , Desplanques Yannick , Elleuch Riadh
Published: August 2024

In the case of braking, a diversity of friction mechanisms occurs at the interface, caused by the heterogeneity of the composition, properties, and thermal phenomena. After friction, the obtained surfaces of the brake lining materials are highly heterogeneous. Load-bearing plates which are also called contact plateaus are formed with a compacted third body and constitute the sites of energy dissipation and sliding velocity accommodation. Their arrangement and preferential localizations in the contact constitute a key factor for the understanding of friction-induced phenomena and braking performance. Within this framework, a morphological characterization method has been set up based on several measurement techniques to explore the macroscopic and microscopic contact situation of the pad-disc system. The results show that exploiting Abbott curve parameters combined with roughness parameters is an effective way to give a detailed and comprehensive morphological description of the brake pad friction surface. It can be seen that the contact plateaus have preferential locations which give a particular load-bearing arrangement in the pad-disc interface which can be explained by friction and wear mechanisms. Results reveal also the main encountered difficulties, especially regarding the significance of scales and parameters describing the morphology of the friction material surface and the load-bearing plates disposition.
Effect of pitch on nonlinear dynamics of helical vortex disturbed by long-wave instability
Authors: Hattori Yuji , Hirano Akihiro
Published: August 2024

The nonlinear dynamics of a helical vortex disturbed by a long-wave-instability mode is studied by direct numerical simulation. Vortex reconnection or self-reconnection of the helical vortex is shown to play a crucial role depending on the pitch of the helical vortex. For the larger pitch, a vortex ring is created after the vortex reconnection; it detaches from the remaining helical vortex, whose pitch is doubled. A vortex ring is also created for the smaller pitch; however, it forms a linked system with the remaining vortex. The topological constraint due to this linkage forces strong interaction between the different parts of the helical vortex, leading to turbulent transition.
Analyzing Ballot Order Effects When Voters Rank Candidates
Authors: Atsusaka Yuki
Published: August 2024

How does candidate order on the ballot affect voting behavior when voters rank candidates? I extend the analysis of ballot order effects to electoral systems with ordinal ballots, where voters rank candidates, including ranked-choice voting (RCV). First, I discuss two types of ballot order effects, including “position effects”—voters vote for specific candidates because of their ballot positions—and “pattern ranking”—voters rank candidates geometrically given their grid-style ballots. Next, I discuss experimental designs for identifying and estimating these effects based on ballot order randomization. Moreover, I illustrate the proposed methods by using survey and natural experiments based on mayoral and congressional RCV elections in 2022. I find that while voters seem less susceptible to specific ballot positions, ballot design can still impact voters’ ranking behavior via pattern ranking. This work has several implications for ballot design, survey research, and ranking data analysis. First, it shows that pattern ranking may affect electoral outcomes in RCV and other systems even when ballot order is fully randomized. Consequently, it may be worth considering an alternative solution to ballot order effects, which does not solely depend on randomization or rotation. Second, similar effects may impact any survey research using ranking questions. Future research must investigate the statistical consequences of pattern ranking for survey research. Finally, ranking data allow researchers to study diverse quantities of interest while targeting many different substantive questions. However, this flexibility also implies that analyzing ranking data can be prone to arbitrary analysis.
Embracing the Status Hierarchy: How Immigration Attitudes, Prejudice, and Sexism Shaped Non-White Support for Trump
Authors: Geiger Jessica R. , Reny Tyler T.
Published: August 2024

It is well established that Donald Trump’s rhetoric and actions during his candidacy and presidency endorsed existing group-based social hierarchies, helping to boost his support among white Americans, especially men and those without a college degree. But how did these endorsements shape support for Trump among non-white Americans? Extant theories suggest that these actions should have pushed racial and ethnic minority voter support for the GOP candidate to its lowest observed levels in contemporary political history. Yet Trump outperformed these expectations in 2016 and in 2020 among Black, Latino, and Asian American voters. We propose the same embrace of social hierarchies that motivated white support for Trump also motivated the political preferences and behaviors of a significant number of non-white Americans. Using several national large-N surveys conducted between 2011 and 2021 with large samples of Black, Latino, and Asian Americans, we explore how support for existing status hierarchies—both gender and racial—engendered support for Trump across racial and ethnic groups and discuss implications for the future of electoral politics in a rapidly diversifying United States.
Landscape‐Scale Modeling to Forecast Fluvial‐Aeolian Sediment Connectivity in River Valleys
Authors: Kasprak Alan , Sankey Joel B. , Caster Joshua
Published: August 2024

Sedimentary landforms on Earth and other planetary bodies are built through scour, transport, and deposition of sediment. Sediment connectivity refers to the hypothesis that pathways of sediment transport do not occur in isolation, but rather are mechanistically linked. In dryland river systems, one such example of sediment connectivity is the transport of fluvially deposited sediment by wind. However, predictive tools that can forecast fluvial‐aeolian sediment connectivity at meaningful scales are rare. Here we develop a suite of models for quantifying the availability of river‐sourced sediment for aeolian transport as a function of river flow, wind regime, and land cover across 168 km of the Colorado River in Grand Canyon, USA. We compare and validate these models using topographic changes observed over 10 years in a coupled river sandbar‐aeolian dunefield setting. The models provide a path forward for directly linking fluvial hydrology with the management and understanding of aeolian landscapes.
Deep Low‐Frequency Earthquake Reveals Unsteady Fluid Flow Beneath Tengchong Volcano Field in Southeast Tibet
Authors: Niu Jieming , Wang Xin , Chen Qi‐Fu , Jiang Jinzhong , Sun Zigang , Wang Yan , Huang Qinghua
Published: August 2024

Deep low‐frequency earthquakes (DLFE) are observed beneath volcanoes worldwide but are limited to island arc volcanoes, hotspot volcanoes, and rift zones. Here we show DLFEs in the Tengchong Volcano Field, southeast Tibet, located ∼300 km from the Indo‐Burma volcanic arc, by analyzing a 12‐year continuous seismic data set. The earthquakes were at a depth of ∼12 km, near the sidewall of the magma body detected by the magnetotelluric survey. The features of isotropic focal mechanism, episodic occurrence, and possible non‐power‐law scaling, with no detectable geodetic deformation, as well as the petrological signatures of the Holocene eruption product, suggest that the earthquakes were likely associated with the weak intermittent magma flows near the magma body. This finding may demonstrate the existence of unsteady magmatic processes in the margin of the Indo‐Eurasia collision zone, which could indicate unneglectable volcanic hazards, underestimated geothermal resources, and mineralization processes in similar regions.
Physics‐Informed Neural Networks Trained With Time‐Lapse Geo‐Electrical Tomograms to Estimate Water Saturation, Permeability and Petrophysical Relations at Heterogeneous Soils
Authors: Sakar C. , Schwartz N. , Moreno Z.
Published: August 2024

Determining soil hydraulic properties is complex, posing ongoing challenges in managing subsurface and agricultural practices. Electrical resistivity tomography (ERT) is an appealing geophysical method to monitor the subsurface due to its non‐invasive, easy‐to‐apply and cost‐effective nature. However, obtaining geoelectrical tomograms from raw measurements requires the inversion of an ill‐posed problem, which causes smoothing of the actual structure. Furthermore, the spatial resolution is determined from the distances in the electrode placement, thus inherently upscaling the obtained structure. This study explores the applicability of physics‐informed neural networks (PINNs) for upscaling permeability and petrophysical relations and monitoring water dynamics at heterogeneous soils using time‐lapse geoelectrical data. High‐resolution numerical simulations mimicking water infiltration were used as benchmarks. Synthetic ERT surveys with electrode spacing 10 times larger than the numerical model resolution were conducted to provide 2D electrical tomograms. The tomograms were fed to a PINNs system to obtain the permeability, petrophysical relations, and water content maps. An additional PINNs system incorporating water content measurements was trained to examine measurement sensitivity. Results have shown that the PINNs system could produce reliable results regarding the upscaled permeability and petrophysical relations fields. Water dynamics at the subsurface was accurately predicted with an average error of ∼3%. Adding water content measurements to PINNs training improved the system outcomes, mainly at the ERT low sensitivity zones. The PINNs system reduced water saturation errors by more than 30% compared to the common practice of directly translating the geoelectrical tomograms to water saturations using known, homogeneous petrophysical relations.
Low cross-talk optical addressing of trapped-ion qubits using a novel integrated photonic chip
Authors: Sotirova Ana S. , Sun Bangshan , Leppard Jamie D. , Wang Andong , Wang Mohan , Vazquez-Brennan Andres , Nadlinger David P. , Moser Simon , Jesacher Alexander , He Chao , Pokorny Fabian , Booth Martin J. , Ballance Christopher J.
Published: August 2024

Individual optical addressing in chains of trapped atomic ions requires the generation of many small, closely spaced beams with low cross-talk. Furthermore, implementing parallel operations necessitates phase, frequency, and amplitude control of each individual beam. Here, we present a scalable method for achieving all of these capabilities using a high-performance integrated photonic chip coupled to a network of optical fibre components. The chip design results in very low cross-talk between neighbouring channels even at the micrometre-scale spacing by implementing a very high refractive index contrast between the channel core and cladding. Furthermore, the photonic chip manufacturing procedure is highly flexible, allowing for the creation of devices with an arbitrary number of channels as well as non-uniform channel spacing at the chip output. We present the system used to integrate the chip within our ion trap apparatus and characterise the performance of the full individual addressing setup using a single trapped ion as a light-field sensor. Our measurements showed intensity cross-talk below ~10–3 across the chip, with minimum observed cross-talk as low as ~10–5.
Non-human primate model of long-COVID identifies immune associates of hyperglycemia
Authors: Palmer Clovis S. , Perdios Chrysostomos , Abdel-Mohsen Mohamed , Mudd Joseph , Datta Prasun K. , Maness Nicholas J. , Lehmicke Gabrielle , Golden Nadia , Hellmers Linh , Coyne Carol , Moore Green Kristyn , Midkiff Cecily , Williams Kelsey , Tiburcio Rafael , Fahlberg Marissa , Boykin Kyndal , Kenway Carys , Russell-Lodrigue Kasi , Birnbaum Angela , Bohm Rudolf , Blair Robert , Dufour Jason P. , Fischer Tracy , Saied Ahmad A. , Rappaport Jay
Published: August 2024

Hyperglycemia, and exacerbation of pre-existing deficits in glucose metabolism, are manifestations of the post-acute sequelae of SARS-CoV-2. Our understanding of metabolic decline after acute COVID-19 remains unclear due to the lack of animal models. Here, we report a non-human primate model of metabolic post-acute sequelae of SARS-CoV-2 using SARS-CoV-2 infected African green monkeys. Using this model, we identify a dysregulated blood chemokine signature during acute COVID-19 that correlates with elevated and persistent hyperglycemia four months post-infection. Hyperglycemia also correlates with liver glycogen levels, but there is no evidence of substantial long-term SARS-CoV-2 replication in the liver and pancreas. Finally, we report a favorable glycemic effect of the SARS-CoV-2 mRNA vaccine, administered on day 4 post-infection. Together, these data suggest that the African green monkey model exhibits important similarities to humans and can be utilized to assess therapeutic candidates to combat COVID-related metabolic defects.
Structural insights into i-motif DNA structures in sequences from the insulin-linked polymorphic region
Authors: Guneri Dilek , Alexandrou Effrosyni , El Omari Kamel , Dvořáková Zuzana , Chikhale Rupesh V. , Pike Daniel T. S. , Waudby Christopher A. , Morris Christopher J. , Haider Shozeb , Parkinson Gary N. , Waller Zoë A. E.
Published: August 2024

The insulin-linked polymorphic region is a variable number of tandem repeats region of DNA in the promoter of the insulin gene that regulates transcription of insulin. This region is known to form the alternative DNA structures, i-motifs and G-quadruplexes. Individuals have different sequence variants of tandem repeats and although previous work investigated the effects of some variants on G-quadruplex formation, there is not a clear picture of the relationship between the sequence diversity, the DNA structures formed, and the functional effects on insulin gene expression. Here we show that different sequence variants of the insulin linked polymorphic region form different DNA structures in vitro. Additionally, reporter genes in cellulo indicate that insulin expression may change depending on which DNA structures form. We report the crystal structure and dynamics of an intramolecular i-motif, which reveal sequences within the loop regions forming additional stabilising interactions that are critical to formation of stable i-motif structures. The outcomes of this work reveal the detail in formation of stable i-motif DNA structures, with potential for rational based drug design for compounds to target i-motif DNA.
H-NS is a bacterial transposon capture protein
Authors: Cooper Charles , Legood Simon , Wheat Rachel L. , Forrest David , Sharma Prateek , Haycocks James R. J. , Grainger David C.
Published: August 2024

The histone-like nucleoid structuring (H-NS) protein is a DNA binding factor, found in gammaproteobacteria, with functional equivalents in diverse microbes. Universally, such proteins are understood to silence transcription of horizontally acquired genes. Here, we identify transposon capture as a major overlooked function of H-NS. Using genome-scale approaches, we show that H-NS bound regions are transposition “hotspots”. Since H-NS often interacts with pathogenicity islands, such targeting creates clinically relevant phenotypic diversity. For example, in Acinetobacter baumannii, we identify altered motility, biofilm formation, and interactions with the human immune system. Transposon capture is mediated by the DNA bridging activity of H-NS and, if absent, more ubiquitous transposition results. Consequently, transcribed and essential genes are disrupted. Hence, H-NS directs transposition to favour evolutionary outcomes useful for the host cell.
Local environmental factors drive distributions of ecologically-contrasting mosquito species (Diptera: Culicidae)
Authors: Wouters Roel M. , Beukema Wouter , Schrama Maarten , Biesmeijer Koos , Braks Marieta A. H. , Helleman Pepijn , Schaffner Francis , van Slobbe Joey , Stroo Arjan , van der Beek Jordy G.
Published: August 2024

Mosquitoes are important vectors of disease pathogens and multiple species are undergoing geographical shifts due to global changes. As such, there is a growing need for accurate distribution predictions. Ecological niche modelling (ENM) is an effective tool to assess mosquito distribution patterns and link these to underlying environmental preferences. Typically, macroclimatic variables are used as primary predictors of mosquito distributions. However, they likely undervalue local conditions and intraspecific variation in environmental preferences. This is problematic, as mosquito control takes place at the local scale. Utilising high-resolution (10 × 10 m) Maxent ENMs on the island of Bonaire as model system, we explore the influence of local environmental variables on mosquito distributions. Our results show a distinct set of environmental variables shape distribution patterns across ecologically-distinct species, with urban variables strongly associated with introduced species like Aedesaegypti and Culexquinquefasciatus, while native species show habitat preferences for either mangroves, forests, or ephemeral water habitats. These findings underscore the importance of distinct local environmental factors in shaping distributions of different mosquitoes, even on a small island. As such, these findings warrant further studies aimed at predicting high-resolution mosquito distributions, opening avenues for preventative management of vector-borne disease risks amidst ongoing global change and ecosystem degradation.
Research on the diffusion plugging mechanism of flowing water grouting slurry in karst pipelines
Authors: Liu Shuai , Peng Bo , Liu Jie , Wang Ming yuan , Li Gang
Published: August 2024

Among the many adverse geological disasters, the surge water disaster in karst areas causes the greatest loss to underground engineering construction, so it is necessary to carry out relevant research on the management of surge water disaster in karst pipelines. This study presents the creation of an oily epoxy resin magnetic convergence grouting material (OEMS) specifically developed to prevent water infiltration in pipelines. A self-designed visual karst pipeline grouting simulation system was used to conduct an experimental study on the diffusion and plugging behavior of magnetic slurry grouting. A model was constructed to simulate the migration of a magnetic slurry in water inrush circumstances. The model is based on the theory of slurry diffusion and the concept of magnetic adsorption. The results suggest that:(i) The best performance in grouting sealing is achieved when the ratio of new OEMS epoxy resin A liquid to B liquid is 2:1, and the blending ratio of flyash and Fe3O4 powder falls between 25 and 55%. (ii) The primary and secondary correlations among the parameters that affect the rate of change in flow rate, plugging pressure, and slurry retention rate are as follows: Hydrodynamic velocity has the greatest correlation, followed by plugging length, Fe3O4 power ratio, and flyash mixture ratio. (iii) The validity of the model is verified by comparing empirical observations with calculated theoretical values.
Investigation of antibacterial and anticancer activities of copper, aluminum and nickel doped zinc sulfide nanoparticles
Authors: Munir Tariq , Mahmood Arslan , Ali Irfan , Abbas Numan , Sohail Amjad , Arshia  , Khan Yasin
Published: August 2024

First time compared the different metals doped ZnS nanoparticles for antibacterial and liver cancer cell line. In this study, copper, aluminum and nickel doped ZnS NPs were synthesized via co-precipitation method. The XRD analysis was confirmed the presence of cubic crystal structure and crystallite size decreased from 6 to 3 nm with doping elements. While as SEM micro-grains were revealed slightly irregular and agglomerated morphology with the presence of dopant elements. The presence of different dopant elements such as Cu, Al and Ni in ZnS NPs was identified via EDX analysis. The FTIR results demonstrate various vibrational stretching and bending modes attached to the surface of ZnS nanomaterials. After that the well diffusion method was used to conduct in-vitro bioassays for evaluation of antibacterial and anticancer activities against E.coli and B.cereus, as well as HepG2 liver cancer cell line. Our findings unveil exceptional results with maximum inhibition zone of approximately 9 to 23 mm observed against E.coli and 12 to 27 mm against B.cereus, respectively. In addition, the significant reduction in cell viability was achieved against the HepG2 liver cancer cell line. These favorable results highlight the potential of Ni doped ZnS NPs for various biomedical applications. In future, the doped ZnS nanomaterials will be suitable for hyperthermia therapy and wound healing process.
Rapid morphological change in UK populations of Impatiens glandulifera
Authors: Wyatt A. L. , Pardoe H. S. , Cleal C. J. , Sánchez Vilas J.
Published: August 2024

The highly invasive Impatiens glandulifera (Himalayan balsam) is one of the most prolific and widespread invasive plants in the British Isles. Introduced in the early nineteenth century, it has now been reported in almost every vice county across the UK and is a fierce competitor that has adverse effects on the local community structure. Despite the negative impacts that invaders like I. glandulifera have on local communities, there have been very few studies which address the morphological changes that invasive plant populations have undergone since their initial introduction. This is the first study of its kind to investigate the morphological changes that have occurred in I. glandulifera. 315 herbarium specimens dating from 1865 to 2017 were used to measure changes in morphological traits such as leaf size, flower length and stomatal characteristics. We found that since 1865, there has been a significant reduction in overall leaf size, a significant reduction in stomatal density and a significant increase in the overall flower length. These results highlight the importance of monitoring the evolutionary change in prolific alien species over the course of their invasion, providing useful insights into changes in competitive ability which may prove useful in managing dispersal and providing options for potential management.