bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bandwidth tunable vibration energy harvester based on hybrid triboelectric-piezoelectric array
Authors: Naval Sourav , Beigh Nadeem Tariq , Jain Ankesh , Mallick Dhiman 
Published: November 2022

Abstract
In this work, we present a highly effective and scalable design strategy of a triboelectric-piezoelectric hybrid array of three cantilever beams stacked over each other (wideband operation regime), which can also be rotated around their mean position to vibrate freely without impacting any other layer (narrowband operation regime). Contrary to a unique frequency response exhibited by conventional devices, the proposed device can switch between narrowband and wideband frequency responses around different central frequencies. This work elaborately discusses the frequency response of mechanical stopper-based PEG and TEGs at varying gap lengths, excitations, and resonant frequencies, and the design of the hybrid array is optimized based on it. The performance of this device is characterized using simulation analysis and experimental validation. Experimentally, the device generates net power greater than 0.3 μW (Piezoelectric) and 0.4 μW (Triboelectric) continually between the frequencies of 30 to 60 Hz in the wideband operation regime and output power of 0.81 μW, 0.65 μW, and 0.62 μW at 27,36 and 45 Hz in the narrowband operation regime under mechanical excitation of 0.75g. The remarkable performance of the device at different frequency ranges demonstrates its potential in various harvesting and sensing applications.
On the other LIL for variables without finite variance
Authors: Pakshirajan R. , Sreehari M. 
Published: November 2022

In this paper we give a simpler proof of Jain’s [Z. Wahrsch. Verw. Gebiete 59 (1982), no. 1, 117–138] result concerning the Other Law of the Iterated Logarithm for partial sums of a class of independent and identically distributed random variables with infinite variance but in the domain of attraction of a normal law. Jain’s result is less restrictive than ours but depends heavily on the techniques of Donsker and Varadhan in the theory of Large deviations. Our proof involves elementary properties of slowly varying functions. We assume that the distribution of random variables

X
n

X_n

satisfies the condition that

lim

x
→
∞

log
⁡
H
(
x
)

(
log
⁡
x

)
δ

=
0

\lim _{ x\rightarrow \infty } \frac {\log H(x)}{(\log x)^\delta } = 0

for some

0
>
δ
>
1

/

2

0 >\delta > 1/2

, where

H
(
x
)
=

E

(

X
1
2

I
(

|

X
1

|

≤
x
)
)

H(x)=\mathsf E\left (X_1^2 I(|X_1|\le x)\right )

is a slowly varying function. The condition above is not very restrictive.
Peripheral Neuropathy and Vision and Hearing Impairment in US Adults With and Without Diabetes
Authors: Hicks Caitlin W , Wang Dan , Lin Frank R , Reed Nicholas , Windham B Gwen , Selvin Elizabeth 
Published: November 2022

Abstract
We aimed to assess the associations of peripheral neuropathy (PN) with vision and hearing impairment among adults aged ≥40 years who attended the lower-extremity disease exam for the National Health and Nutrition Examination Survey (United States, 1999–2004). Overall, 11.8% (standard error (SE), 0.5) of adults had diabetes, 13.2% (SE, 0.5) had PN (26.6% (SE, 1.4) with diabetes, 11.4% (SE, 0.5) without diabetes), 1.6% (SE, 0.1) had vision impairment, and 15.4% (SE, 1.1) had hearing impairment. The prevalence of vision impairment was 3.89% (95% CI: 2.99, 5.05) among adults with PN and 1.29% (95% CI: 1.04, 1.60) among adults without PN (P &lt; 0.001). After adjustment, PN was associated with vision impairment overall (odds ratio (OR) = 1.48, 95% confidence interval (CI): 1.03, 2.13) and among adults without diabetes (OR = 1.80, 95% CI: 1.17, 2.77) but not among adults with diabetes (P for interaction = 0.018). The prevalence of hearing impairment was 26.5% (95% CI: 20.4, 33.7) among adults with PN and 14.2% (95% CI: 12.4, 16.3) among adults without PN (P &lt; 0.001). The association of PN with moderate/severe hearing impairment was significant overall (OR = 2.55, 95% CI: 1.40, 4.64) and among adults without diabetes (OR = 3.26, 95% CI: 1.80, 5.91). Overall, these findings suggest an association between peripheral and audiovisual sensory impairment that is unrelated to diabetes.
Brain region-specific synaptic function of FUS underlies the FTLD-linked behavioural disinhibition
Authors: Wang Jun-Ying , Ma Guo-Ming , Tang Xiao-Qiang , Shi Qi-Li , Yu Ming-Can , Lou Min-Min , He Kai-Wen , Wang Wen-Yuan 
Published: November 2022

AbstractSynaptic dysfunction is one of the earliest pathological processes that contribute to the development of many neurological disorders, including Alzheimer’s disease and frontotemporal lobar degeneration. However, the synaptic function of many disease-causative genes and their contribution to the pathogenesis of the related diseases remain unclear. In this study, we investigated the synaptic role of fused in sarcoma, an RNA-binding protein linked to frontotemporal lobar degeneration and amyotrophic lateral sclerosis, and its potential pathological role in frontotemporal lobar degeneration using pyramidal neuron-specific conditional knockout mice (FuscKO). We found that FUS regulates the expression of many genes associated with synaptic function in a hippocampal subregion-specific manner, concomitant with the frontotemporal lobar degeneration-linked behavioural disinhibition. Electrophysiological study and molecular pathway analyses further reveal that fused in sarcoma differentially regulates synaptic and neuronal properties in the ventral hippocampus and medial prefrontal cortex, respectively. Moreover, fused in sarcoma selectively modulates the ventral hippocampus–prefrontal cortex projection, which is known to mediate the anxiety-like behaviour. Our findings unveil the brain region- and synapse-specific role of fused in sarcoma, whose impairment might lead to the emotional symptoms associated with frontotemporal lobar degeneration.
Reduced grid-like theta modulation in schizophrenia
Authors: Convertino Laura , Bush Daniel , Zheng Fanfan , Adams Rick A , Burgess Neil 
Published: November 2022

Abstract
The hippocampal formation has been implicated in the pathophysiology of schizophrenia, with patients showing impairments in spatial and relational cognition, structural changes in entorhinal cortex and reduced theta coherence with medial prefrontal cortex. Both the entorhinal cortex and medial prefrontal cortex exhibit a 6-fold (or ‘hexadirectional’) modulation of neural activity during virtual navigation that is indicative of grid cell populations and associated with accurate spatial navigation.
Here, we examined whether these grid-like patterns are disrupted in schizophrenia. We asked 17 participants with diagnoses of schizophrenia and 23 controls (matched for age, sex and IQ) to perform a virtual reality spatial navigation task during magnetoencephalography.
The control group showed stronger 4–10 Hz theta power during movement onset, as well as hexadirectional modulation of theta band oscillatory activity in the right entorhinal cortex whose directional stability across trials correlated with navigational accuracy. This hexadirectional modulation was absent in schizophrenia patients, with a significant difference between groups.
These results suggest that impairments in spatial and relational cognition associated with schizophrenia may arise from disrupted grid firing patterns in entorhinal cortex.
Advertising and the consumer in the age of Big Tech: a new moment in the evolution of monopoly capitalism?
Authors: Bailey David , Coffey Dan , Thornley Carole , Tomlinson Philip R 
Published: November 2022

Abstract
The monopoly capitalism literature has traditionally approached advertising from the vantage point of its role in sustaining the economic order. However, digitalised forms of advertising in contexts dominated by giant digital platform technology companies like Google, Facebook and Amazon are disrupting the existing order through a combination of subsidy and location effects, shored up by the capabilities of the new technology for real-time data collection on users. This poses significant challenges for theory and policy. In both respects the case is made for rehabilitating the earlier approach of Nicholas Kaldor, which emphasises both heterogeneity of advertising forms and questions of subsidy, to complement the dominant approaches of the monopoly capitalism school as exemplified by Paul Baran and Paul Sweezy on one side, and Keith Cowling on the other.
Free Factors and Profinite Completions
Authors: Garrido Alejandra , Jaikin-Zapirain Andrei 
Published: November 2022

AbstractCan one detect free products of groups via their profinite completions? We answer positively among virtually free groups. More precisely, we prove that a subgroup of a finitely generated virtually free group $G$ is a free factor if and only if its closure in the profinite completion of $G$ is a profinite free factor. This generalises results by Parzanchevski and Puder for free groups that were later also proved by Wilton. Our methods are entirely different to theirs, combining homological properties of profinite groups and the decomposition theory of Dicks and Dunwoody.
Epitope mapping of a blood–brain barrier crossing antibody targeting the cysteine-rich region of IGF1R using hydrogen-exchange mass spectrometry enabled by electrochemical reduction
Authors: Sheff Joey , Kelly John , Foss Mary , Brunette Eric , Kemmerich Kristin , van Faassen Henk , Raphael Shalini , Hussack Greg , Comamala Gerard , Rand Kasper , Stanimirovic Danica B 
Published: November 2022

Abstract
Pathologies of the central nervous system impact a significant portion of our population, and the delivery of therapeutics for effective treatment is challenging. The insulin-like growth factor-1 receptor (IGF1R) has emerged as a target for receptor-mediated transcytosis, a process by which antibodies are shuttled across the blood–brain barrier (BBB). Here, we describe the biophysical characterization of VHH-IR4, a BBB-crossing single-domain antibody (sdAb). Binding was confirmed by isothermal titration calorimetry and an epitope was highlighted by surface plasmon resonance that does not overlap with the IGF-1 binding site or other known BBB-crossing sdAbs. The epitope was mapped with a combination of linear peptide scanning and hydrogen–deuterium exchange mass spectrometry (HDX-MS). IGF1R is large and heavily disulphide bonded, and comprehensive HDX analysis was achieved only through the use of online electrochemical reduction coupled with a multiprotease approach, which identified an epitope for VHH-IR4 within the cysteine-rich region (CRR) of IGF1R spanning residues W244-G265. This is the first report of an sdAb binding the CRR. We show that VHH-IR4 inhibits ligand induced auto-phosphorylation of IGF1R and that this effect is mediated by downstream conformational effects. Our results will guide the selection of antibodies with improved trafficking and optimized IGF1R binding characteristics.
The spectra of quasi-Boolean algebras
Authors: Lv Yajie , Chen Wenjuan 
Published: November 2022

Abstract
In the present paper, we introduce the notions of quasi-Boolean algebras as the generalization of Boolean algebras. First we discuss the related properties of quasi-Boolean algebras. Second we define filters of quasi-Boolean algebras and investigate some properties of filters in quasi-Boolean algebras. We also show that there is a one-to-one correspondence between the set of filters and the set of filter congruences on a quasi-Boolean algebra. Then we investigate the prime filters and maximal filters of quasi-Boolean algebras, showing that the prime filters of a quasi-Boolean algebra are precisely the maximal filters and the prime spectrum of a quasi-Boolean algebra is a compact Hausdorff topological space. Finally, we define and study the reticulation of a quasi-Boolean algebra.
Jasmonate-regulated root growth inhibition and root hair elongation
Authors: Han Xiao , Kui Mengyi , He Kunrong , Yang Milian , Du Jiancan , Jiang Yanjuan , Hu Yanru 
Published: November 2022

AbstractThe phytohormone jasmonate is an essential endogenous signal in the regulation of multiple plant processes for environmental adaptation, such as primary root growth inhibition and root hair elongation. Perception of environmental stresses promotes the accumulation of jasmonate, which is sensed by the CORONATINE INSENSITIVE1 (COI1)–JASMONATE ZIM-DOMAIN (JAZ) co-receptor, triggering the degradation of JAZ repressors and induction of transcriptional reprogramming. The basic helix–loop–helix (bHLH) subgroup IIIe transcription factors MYC2, MYC3, and MYC4 are the most extensively characterized JAZ-binding factors and together stimulate jasmonate-signaled primary root growth inhibition. Conversely, the bHLH subgroup IIId transcription factors (i.e. bHLH3 and bHLH17) physically associate with JAZ proteins and suppress jasmonate-induced root growth inhibition. For root hair development, JAZ proteins interact with and inhibit ROOT HAIR DEFECTIVE 6 (RHD6) and RHD6 LIKE1 (RSL1) transcription factors to modulate jasmonate-enhanced root hair elongation. Moreover, jasmonate also interacts with other signaling pathways (such as ethylene and auxin) to regulate primary root growth and/or root hair elongation. Here, we review recent progress into jasmonate-mediated primary root growth and root hair development.
IRS 31 14 in Vela C: Observations of wind driven turbulence
Authors: Saul M 
Published: November 2022

ABSTRACT
We report three millimeter line observations of young stellar object (YSO) cluster IRAS 08563−4225 in the Vela C molecular cloud, detecting outflow aligned with an unidentified 2MASS infrared emission maximum. Emission features such as velocity dispersion ridges converging on intermediate mass Class I protostar IRS 31 14 indicate cluster wind driven turbulence, a scenario supported within an evolutionary framework derived from a range of star-forming regions. Prestellar–pre-main-sequence evolution is regulated by internal core turbulence and tracked on a Δ(σ2)–log ma diagram in four stages: disc formation, wind generation, outflow collimation, and birthline emergence, where ma = $\dot{M}_{\text{acc}}\, t_{\mathrm{out}}$ is a mass parameter given by $\dot{M}_{\text{acc}}$, the accretion rate and tout, the outflow dynamical time, and Δ(σ2) = log ($\frac{\sigma ^2_{\mathrm{outer}}}{\sigma ^2_{\mathrm{inner}}}$) with σinner, the inner and σouter, the outer core velocity dispersion. A turnover in Δ(σ2) indicates the generation of supersonic turbulence in star-forming regions with inner core collapse; in sets of low, intermediate, and high mass protostellar regions, a negative turbulent index at = $\frac{\text{d}{\Delta }\sigma ^2}{\text{dlog}m_a}$ corresponds to increasing age. Inner core collapse driven turbulence may apply at kiloparsec scales with turbulence amplification in a series of interacting YSO cluster cores in different evolutionary stages.
relensing: Reconstructing the mass profile of galaxy clusters from gravitational lensing
Authors: Torres-Ballesteros Daniel A , Castañeda Leonardo 
Published: November 2022

ABSTRACT
In this work we present relensing, a package written in python whose goal is to model galaxy clusters from gravitational lensing. With relensing we extend the amount of software available, which provides the scientific community with a wide range of models that help us to compare and therefore validate the physical results that rely on them. We implement a free-form approach which computes the gravitational deflection potential on an adaptive irregular grid, from which one can characterize the cluster and its properties as a gravitational lens. Here, we use two alternative penalty functions to constrain strong lensing. We apply relensing to two toy models, in order to explore under which conditions one can get a better performance in the reconstruction. We find that by applying a smoothing to the deflection potential, we are able to increase the capability of this approach to recover the shape and size of the mass profile of galaxy clusters, as well as its magnification map. This translates into a better estimation of the critical and caustic curves. The power that the smoothing provides is also tested on the simulated clusters Ares and Hera, for which we get an rms on the lens plane of $\sim 0.17\, {\rm arcsec}$ and $\sim 0.16\, {\rm arcsec}$, respectively. Our results represent an improvement with respect to reconstructions that were carried out with methods of the same nature as relensing. In its current state, relensing is available upon request.
PhotoRedshift-MML: A multimodal machine learning method for estimating photometric redshifts of quasars
Authors: Hong Shuxin , Zou Zhiqiang , Luo A-Li , Kong Xiao , Yang Wenyu , Chen Yanli 
Published: November 2022

ABSTRACT
We propose a Multimodal Machine Learning method for estimating the Photometric Redshifts of quasars (PhotoRedshift-MML for short), which has long been the subject of many investigations. Our method includes two main models, i.e. the feature transformation model by multimodal representation learning, and the photometric redshift estimation model by multimodal transfer learning. The prediction accuracy of the photometric redshift was significantly improved owing to the large amount of information offered by the generated spectral features learned from photometric data via the MML. A total of 415 930 quasars from Sloan Digital Sky Survey (SDSS) Data Release 17, with redshifts between 1 and 5, were screened for our experiments. We used |Δz| = |(zphot − zspec)/(1 + zspec)| to evaluate the redshift prediction and demonstrated a $4.04{{\ \rm per\ cent}}$ increase in accuracy. With the help of the generated spectral features, the proportion of data with |Δz| &lt; 0.1 can reach $84.45{{\ \rm per\ cent}}$ of the total test samples, whereas it reaches $80.41{{\ \rm per\ cent}}$ for single-modal photometric data. Moreover, the Root Mean Square (RMS) of |Δz| is shown to decrease from 0.1332 to 0.1235. Our method has the potential to be generalized to other astronomical data analyses such as galaxy classification and redshift prediction.
Effects of the environment on the multiplicity properties of stars in the STARFORGE simulations
Authors: Guszejnov Dávid , Raju Aman N , Offner Stella S R , Grudić Michael Y , Faucher-Giguère Claude-André , Hopkins Philip F , Rosen Anna L 
Published: November 2022

ABSTRACT
Most observed stars are part of a multiple star system, but the formation of such systems and the role of environment and various physical processes is still poorly understood. We present a suite of radiation-magnetohydrodynamic simulations of star-forming molecular clouds from the STARFORGE project that include stellar feedback with varied initial surface density, magnetic fields, level of turbulence, metallicity, interstellar radiation field, simulation geometry and turbulent driving. In our fiducial cloud, the raw simulation data reproduces the observed multiplicity fractions for Solar-type and higher mass stars, similar to previous works. However, after correcting for observational incompleteness the simulation underpredicts these values. The discrepancy is likely due to the lack of disc fragmentation, as the simulation only resolves multiples that form either through capture or core fragmentation. The raw mass distribution of companions is consistent with randomly drawing from the initial mass function for the companions of $\gt 1\, \mathrm{M}_{\rm \odot }$ stars. However, accounting for observational incompleteness produces a flatter distribution similar to observations. We show that stellar multiplicity changes as the cloud evolves and anticorrelates with stellar density. This relationship also explains most multiplicity variations between runs, i.e. variations in the initial conditions that increase stellar density (increased surface density, reduced turbulence) also act to decrease multiplicity. While other parameters, such as metallicity, interstellar radiation, and geometry significantly affect the star formation history or the IMF, varying them produces no clear trend in stellar multiplicity properties.
Comparing the Epidemiology and Health Burden of Lyme Disease and Babesiosis Hospitalizations in the United States
Authors: Bloch Evan M , Zhu Xianming , Krause Peter J , Patel Eshan U , Grabowski M Kate , Goel Ruchika , Auwaerter Paul G , Tobian Aaron A R 
Published: November 2022

Abstract

Background
Lyme disease (LD) and babesiosis are increasing in the United States. We sought to characterize and compare their epidemiology and health burden using a nationally representative sample of hospitalizations.

Methods
Data were extracted from the National Inpatient Sample (NIS) pertaining to LD and babesiosis for 2018 and 2019. The NIS is a comprehensive database of all-payer inpatient hospitalizations, representing a stratified systematic random sample of discharges from US hospitals. Patient demographics, clinical outcomes, and admission costs were evaluated, in addition to hospital-level variables (eg, location/teaching status and census division). Annual incidence of hospitalizations was calculated using US Census Bureau data.

Results
The annual incidence of hospitalizations of LD-related and babesiosis-related hospitalizations were 6.98 and 2.03 per 1 000 000 persons/year. Of the 4585 LD hospitalizations in 2018–2019, 60.9% were among male patients, 85.3% were White, and 39.0% were ≥60 years. Of the 1330 babesiosis hospitalizations in 2018–2019, 72.2% were among male patients, 78.9% were White, and 74.1% were ≥60 years; 70.0% of LD and 91.7% of babesiosis hospitalizations occurred in Middle Atlantic or New England. Lower disease severity was noted in 81.8% of LD hospitalizations compared with 49.3% of babesiosis hospitalizations, whereas those suffering from high severity were 2.3% and 6.0%, respectively. The mean hospital charges for LD and babesiosis hospitalizations were $33 440.8 and $40 689.8, respectively.

Conclusions
Despite overlap between the 2 diseases, LD has a broader geographic range and a greater number of hospital admissions, whereas babesiosis is more severe, incurring longer hospital stays, higher inpatient costs, and deaths.
Long-term Evaluation of Residual Viremia in a Clinical Trial of Dolutegravir Plus Lamivudine as Maintenance Treatment for Participants With and Without Prior Lamivudine Resistance
Authors: De Miguel Buckley Rosa , Rial-Crestelo David , Montejano Rocío , Pinto Adriana , Jimenez-Gonzalez María , Lagarde Maria , Esteban-Cantos Andrés , Aranguren-Rivas Paula , Cadiñanos Julen , Bisbal Otilia , Castro Juan Miguel , Santacreu-Guerrero Mireia , Bermejo-Plaza Laura , Moreno Victoria , Hernando Asunción , Martín-Carbonero Luz , Rubio Rafael , Delgado Rafael , Arribas José Ramón , Pulido Federico ,   for the Antiretroviral Treatment Guided by Proviral Genotype (ART-PRO) Study Group
Published: November 2022

Abstract
In this pilot clinical trial, we evaluated rates of residual replication in persons without lamivudine resistance-associated mutations in proviral DNA population sequencing who switched to dolutegravir plus lamivudine. After 144 weeks, there was no signal of changes in residual viremia based on qualitative detection methods, irrespective of past lamivudine resistance.
Clinical Trials Registration. NCT03539224.
Religious Neutrality at Europe’s Highest Courts: Shifting Strategies
Authors: Hunter-Henin Myriam 
Published: November 2022

Abstract
This article demonstrates that recent manifestations of religious neutrality in the case-law of Europe’s highest courts amount to ‘shifting strategies’, which prompt systematic and excessive judicial restraint from European supranational courts. It argues that these shifting strategies end up (wrongly) framing the visibility of religion as the problem to be solved. It suggests an alternative approach, under which neutrality would only have a derivative and conditional value, to be established and assessed by European courts. The role of European courts would then no longer be to display (allegedly neutral) judicial restraint but to provide a democratic forum in which equality and liberty interests may be constantly confronted and revisited as new contestations emerge.