bluuebunny/crossref_metadata_2025_split huggingface dataset:
An implementation of a channelizer based on a Goertzel Filter Bank for the read-out of cryogenic sensors
Authors: Ferreyro L.P. , García Redondo M. , Hampel M.R. , Almela A. , Fuster A. , Salum J. , Geria J.M. , Bonaparte J. , Bonilla-Neira J. , Müller N. , Karcher N. , Sander O. , Platino M. , Weber M. , Etchegoyen A. 
Published: June 2023

Abstract
In this work we present an application of the Goertzel
Filter for the channelization of multi-tonal signals, typically used
for the read-out of cryogenic sensors which are multiplexed in the
frequency domain (FDM), by means of Microwave Superconducting
Quantum Interference Device (SQUID) Multiplexer (μMUX). We
demonstrate how implementing a bank of many of these filters, can be
used to perform a channelization of the multi-tonal input signal to
retrieve the data added by the sensors. We show how this approach
can be implemented in a resource-efficient manner in a Field
Programmable Gate Array (FPGA) within the state-of-the-art, which
allows great scalability for reading thousands of sensors; as is
required by Radio Telescopes in Cosmic Microwave Background
Radiation (CMB) surveys using cryogenic bolometers, particles
detection like Neutrino mass estimation using cryogenic calorimeters
or Quantum Computing.
Calibration strategy of the PROSPECT-II detector with external and intrinsic sources
Authors: Andriamirado M. , Balantekin A.B. , Bass C.D. , Bergeron D.E. , Bernard E.P. , Bowden N.S. , Bryan C.D. , Carr R. , Classen T. , Conant A.J. , Delgado A. , Diwan M.V. , Dolinski M.J. , Erickson A. , Foust B.T. , Gaison J.K. , Galindo-Uribarri A. , Gilbert C.E. , Gokhale S. , Grant C. , Hans S. , Hansell A.B. , Heeger K.M. , Heffron B. , Jaffe D.E. , Jayakumar S. , Ji X. , Jones D.C. , Koblanski J. , Kunkle P. , Lane C.E. , Langford T.J. , LaRosa J. , Littlejohn B.R. , Lu X. , Maricic J. , Mendenhall M.P. , Meyer A.M. , Milincic R. , Mueller P.E. , Mumm H.P. , Napolitano J. , Neilson R. , Nikkel J.A. , Nour S. , Palomino J.L. , Pushin D.A. , Qian X. , Roca C. , Rosero R. , Searles M. , Surukuchi P.T. , Sutanto F. , Tyra M.A. , Venegas-Vargas D. , Weatherly P.B. , Wilhelmi J. , Woolverton A. , Yeh M. , Zhang C. , Zhang X. 
Published: June 2023

Abstract
This paper presents an energy calibration scheme for an upgraded reactor antineutrino detector for the Precision Reactor Oscillation and Spectrum Experiment (PROSPECT). The PROSPECT collaboration is preparing an upgraded detector, PROSPECT-II (P-II), to advance capabilities for the investigation of fundamental neutrino physics, fission processes and associated reactor neutrino flux, and nuclear security applications. P-II will expand the statistical power of the original PROSPECT (P-I) dataset by at least an order of magnitude. The new design builds upon
previous P-I design and focuses on improving the detector robustness and long-term stability to enable multi-year operation at one or more sites. The new design optimizes the fiducial volume by elimination of dead space previously occupied by internal calibration channels, which in turn necessitates the external deployment. In this paper, we describe a calibration strategy for P-II. The expected performance of externally deployed calibration sources is evaluated using P-I data and a well-benchmarked simulation package by varying detector segmentation configurations in the analysis. The proposed external calibration scheme delivers a compatible energy scale model and achieves comparable performance with the inclusion of an additional AmBe neutron source, in comparison to the previous internal arrangement. Most importantly, the estimated uncertainty contribution from the external energy scale calibration model meets the precision requirements of the P-II experiment.
Local fishery, global commodity: the role of institutions in mediating intersectoral conflict, cooperation, and competition in a globalized fishery
Authors: Seto Katherine L , Aheto Denis Worlanyo , Kwadjosse Theodore , O’Neill Kate 
Published: June 2023

Abstract
Commons scholarship has improved our understanding of how to govern resources for sustainability. However, it has also been critiqued for its focus on traits (e.g. well-defined system boundaries) that are increasingly threatened by social and environmental trends. Fisheries are a key example of this challenge. While small-scale fisheries are critically important to the diets and livelihoods of millions, industrial fisheries from developed countries now dominate fishing around the world. While these two systems are governed separately, there is substantial overlap between them, conceptualized as the growing influence of globalization on local common pool resource (CPR) systems. One of the most impactful, but least understood consequences of this convergence are the emerging conflicts and competition between small-scale and industrial fisheries. In these systems, the interaction between small-scale CPRs and globalized commodity chains has meant the creation of a new, hybrid resource system, addressed by neither conventional industrial nor traditional small-scale governance approaches. We use empirical data from 396 cases of interactions at sea between globalized industrial and local small-scale fishers in Ghana from 1984 to 2013 to examine the conditions under which resource users conflict or cooperate, linking them to broader political and economic dynamics across scales. We consider the institutional factors that mediate these interactions, identifying policies to promote cooperative, and avert conflictual incidents. We further consider the long-term effects of these patterns of conflict and cooperation for the resilience or vulnerability of the resource base, the fishers, and the institutions governing the system. We suggest that specific governance arrangements that reduce disparities between groups, promote bridging social capital, and enhance hybrid and cross-scale institutions offer the best potential to govern resource systems where traditional CPRs and market-oriented industries converge.
Disproportionate exposure to surface-urban heat islands across vulnerable populations in Lima city, Peru
Authors: Ascencio Edson J , Barja Antony , Benmarhnia Tarik , Carrasco-Escobar Gabriel 
Published: June 2023

Abstract
Climate change constitutes an unprecedented challenge for public health and one of its main direct effects are extreme temperatures. It varies between intra-urban areas and this difference is called surface urban heat island (SUHI) effect. We aimed to assess SUHI distribution among socioeconomic levels in Lima, Peru by conducting a cross-sectional study at the block-level. The mean land surface temperature (LST) from 2017 to 2021 were estimated using the TIRS sensor (Landsat-8 satellite [0.5 km scale]) and extracted to block level. SUHI was calculated based on the difference on mean LST values (2017–2021) per block and the lowest LST registered in a block. Socioeconomic data were obtained from the 2017 Peruvian census. A principal component analysis was performed to construct a socioeconomic index and a mixture analysis based on quantile g-computation was conducted to estimate the joint and specific effects of socioeconomic variables on SUHI. A total of 69 618 blocks were included in the analysis. In the Metropolitan Lima area, the mean SUHI estimation per block was 6.44 (SD = 1.44) Celsius degrees. We found that blocks with high socioeconomic status (SES) showed a decreased exposure to SUHI, compared to those blocks where the low SES were predominant (p-value < 0.001) and that there is a significant SUHI exposure variation (p-value < 0.001) between predominant ethnicities per block (Non-White, Afro-American, and White ethnicities). The mixture analysis showed that the overall mixture effect estimates on SUHI was −1.01 (effect on SUHI of increasing simultaneously every socioeconomic variable by one quantile). Our study highlighted that populations with low SES are more likely to be exposed to higher levels of SUHI compared to those who have a higher SES and illustrates the importance to consider SES inequalities when designing urban adaptation strategies aiming at reducing exposure to SUHI.
Patterns of regional site index across a North American boreal forest gradient
Authors: Montesano Paul M , Neigh Christopher S R , Macander Matthew J , Wagner William , Duncanson Laura I , Wang Panshi , Sexton Joseph O , Miller Charles E , Armstrong Amanda H 
Published: June 2023

Abstract
Forest structure—the height, cover, vertical complexity, and spatial patterns of trees—is a key indicator of productivity variation across forested extents. During the 2017 and 2019 growing seasons, NASA’s Arctic-Boreal Vulnerability Experiment collected full-waveform airborne LiDAR using the land, vegetation and imaging sensor, sampling boreal and tundra landscapes across a variety of ecological regions from central Canada westward through Alaska. Here, we compile and archive a geo-referenced gridded suite of these data that include vertical structure estimates and novel horizontal cover estimates of vegetation canopy cover derived from vegetation’s vertical LiDAR profile. We validate these gridded estimates with small footprint airborne LiDAR, and link >36 million of them with stand age estimates from a Landsat time-series of tree-canopy cover that we confirm with plot-level disturbance year data. We quantify the regional magnitude and variability in site index, the age-dependent rates of forest growth, across 15 boreal ecoregions in North America. With this open archive suite of forest structure data linked to stand age, we bound current forest productivity estimates across a boreal structure gradient whose response to key bioclimatic drivers may change with stand age. These results, derived from a reduction of a large archive of airborne LiDAR and a Landsat time series, quantify forest productivity bounds for input into forest and ecosystem growth models, to update forecasts of changes in North America’s boreal forests by improving the regional parametrization of forest growth rates.
Impacts of national vs European carbon pricing on agriculture
Authors: Stepanyan Davit , Heidecke Claudia , Osterburg Bernhard , Gocht Alexander 
Published: June 2023

Abstract
The agricultural sector has the potential to contribute to reaching both global and national climate targets. Lately, frequent discussions emerge among academics as well as policymakers regarding whether the agricultural sector should be subject to carbon pricing under different emission trading systems. Germany has set ambitious climate targets envisaging to reach carbon neutrality by 2045, and the EU plans reaching carbon neutrality by 2050. However, the current GHG emission mitigation trends are not in line with this goal. In this study, we quantitatively analyze the environmental and economic effects of the possible inclusion of the agricultural sector into a carbon pricing scheme, once for Germany only, and second for the EU. Moreover, we evaluate the role of already existing and novel technological mitigation options in the GHG emissions mitigation quest. Our findings demonstrate that even the unilateral action by Germany leads to net agricultural emissions reduction, although, the effect obtained by the EU-wide implementation of carbon pricing in agriculture is fivefold larger. The results also highlight the importance of stimulating the use and transferability of the technological options not only in mitigating GHG emissions but also in alleviating the emission leakage to third countries and easing the economic consequences of such a policy.
A multiband and multifunctional metasurface polarization converter using split-ring resonators
Authors: Liu Hai , Lu Xiangyu , Chen Cong , Gao Peng , Dai Yaowei , Zhao Jiaming , Wan Yinhui , Zhao Siyi , Wang Xinyan , Li Lei 
Published: June 2023

Abstract
In this paper, a multiband and multifunctional metasurface polarization converter is proposed based on split-ring resonators, which can effectively convert linearly polarized (LP) wave to cross-polarized and circularly polarized (CP) wave in the part of C to K bands. The simulation results show that when the structure has a metal bottom plate, the cross-polarization conversion can be achieved in three frequency bands, 7.43–10.49, 10.84–14.66, 16.32–18.19 GHz, the polarization conversion ratio >90%, and the conversion from LP-to-CP (LTC) can be achieved in five frequency bands of 7.27–7.4, 14.72–14.9, 15.24–16.05, 18.24–18.79 and 18.97–19.47 GHz, the axial ratio (AR) is less than 3 dB, and the polarization converter can maintain good performances in 45° incidence angle. When there is no bottom metal plate, the LTC function can be achieved in two frequency bands, 8.32–9.72 and 11.24–17.18 GHz, the AR is less than 3 dB, and with the increase of the incident angle, the first frequency band of the LTC conversion is almost unchanged, but the second frequency band is split into two bands and then stabilized. The mechanism of polarization conversion generation was analyzed, and the polarization converter can be widely used in microwave communication and radar stealth fields.
Strength and freeze-thaw cycle resistance of cement stabilized coastal clay mixed with shell powder
Authors: Ying Liangbo , Wang Yuxiang , Wang Wei 
Published: June 2023

Abstract
To study the effect of marine shell powder (SP) on the mechanical properties of cement solidified coastal clay (CSC), unconfined compressive strength test, freeze-thaw cycle test and Scanning Electron Microscope test were conducted on the stabilized soil. The results show that SP could improve the mechanical properties of CSC to some extent. When the SP content was 15%, the strength of CSC was the highest. Moreover, under the condition of freeze-thaw cycle, SP can enhance the compactness of coastal cement-clay, which shows that the pore area decreases by 7.2% during 7 freeze-thaw cycles. Finally, a mathematical empirical model of the unconfined compressive strength, SP content and freeze-thaw cycles of coastal cement-clay modified by seashell powder (SPCSC) specimens was established. The model has a good relevance with the investigated data, which can give a theoretical foundation for improving the performance of coastal cement-clay using seashell powder under different environments.
Measurement of the thermal properties of materials by the hot plate method considering the convection coefficient around the device
Authors: Dia Mohameth , Faye Mactar , Diallo Mamadou Salif , Sambou Vincent 
Published: June 2023

Abstract
Measurement methods based on the hot plate did not consider the exchange coefficients around the device. These measurements were based on analytical solutions of the unidirectional (1D) heat conduction equation. This paper describes an experimental method to simultaneously estimate the thermal conductivity and thermal diffusivity of materials, taking into account the exchange coefficient around the device. This method is based on the measurement of the temperature at the center of a heating element inserted between two samples, with the unheated surface of the samples being kept constant. As a first step, a two-dimensional (2D) heat transfer model was solved using the finite volume method (FVM) and implemented in MATLAB®. To validate the computational code developed with the 2D model, a comparative study was performed with the full 3D model simulated in COMSOL Multiphysics. This 2D model was then used to perform a sensitivity analysis on the different thermophysical parameters and the convection coefficient. The Levenberg–Marquardt algorithm was used to calculate the estimates. An experimental study was performed on several material samples, leading to an estimation of their thermal properties. In addition, a comparative study based on the asymmetric hot plate (AHP) method was performed, and the results obtained showed a relative error of less than 4%. Therefore, it can be concluded that the proposed model is validated to provide reliable thermophysical properties of materials.
Certifying unknown genuine multipartite entanglement by neural networks
Authors: Chen Zhenyu , Lin Xiaodie , Wei Zhaohui 
Published: June 2023

Abstract
Suppose we have an unknown multipartite quantum state, how can we experimentally find out whether it is genuine multipartite entangled or not? Recall that even for a bipartite quantum state whose density matrix is known, it is already NP-Hard to determine whether it is entangled or not. Therefore, it is hard to efficiently solve the above problem generally. However, since genuine multipartite entanglement (GME) is such a fundamental concept that plays a crucial role in many-body physics and quantum information processing tasks, finding realistic approaches to certify GME is undoubtedly necessary. In this work, we show that neural networks can provide a nice solution to this problem, where measurement statistics data produced by measuring involved quantum states with local measurement devices serve as input features of neural networks. By testing our models on many specific multipartite quantum states, we show that they can certify GME very accurately, even including some new results unknown before. We also exhibit a possible way to improve the efficiency of our models by reducing the size of features. Lastly, we show that our models enjoy remarkable robustness against flaws in measurement devices, implying that they are very experiment-friendly.
A systematic review of the measurement properties of aspects of psychological capacity in older adults
Authors: Oster Candice , Hines Sonia , Rissel Chris , Asante Dennis , Khadka Jyoti , Seeher Katrin M , Amuthavalli Thiyagarajan Jotheeswaran , Mikton Christopher , Diaz Theresa , Isaac Vivian 
Published: June 2023

Abstract

Objective
to examine the measurement properties of instruments that have been used to measure aspects of psychological capacity in adults aged 60 years and over.

Methods
the databases PsycINFO, MEDLINE, EMCARE and Scopus from 2010 were searched using search terms related to psychological capacity, older persons and measurement properties. Both data extraction and risk-of-bias assessment were conducted using the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) criteria using Covidence software.

Results
the full text of 326 articles were reviewed and a total of 30 studies were included, plus two further articles identified from reference lists (n = 32). No single instrument measuring psychological capacity was identified. Twenty (n = 20) instruments were identified that measure seven constructs of psychological capacity: Resilience; Sense of coherence; Hope; Mindfulness; Optimism; Attachment to life; Emotional regulation.

Conclusions
this systematic review identified potential measures of psychological capacity in older adults. The review will inform further work to develop a single comprehensive measure of psychological capacity in older adults.
Construction and characterization of ribonuclease H2 C subunit-knockout NIH3T3 cells
Authors: Hara Haruka , Yano Haruna , Akazawa Kaho , Kamoda Kana , Kandabashi Mako , Baba Misato , Takita Teisuke , Yasukawa Kiyoshi 
Published: June 2023

ABSTRACT
Mammalian ribonuclease (RNase) H2 is a trimer consisting of catalytic A and accessory B and C subunits. RNase H2 is involved in the removal of misincorporated ribonucleotides from genomic DNA. In humans, mutations in RNase H2 gene cause a severe neuroinflammatory disorder, Aicardi–Goutières syndrome (AGS). Here, we constructed RNase H2 C subunit (RH2C)-knockout mouse fibroblast NIH3T3 cells. Compared with the wild-type NIH3T3 cells, the knockout cells exhibited a decreased single ribonucleotide-hydrolyzing activity and an increased accumulation of ribonucleotides in genomic DNA. Transient expression of wild-type RH2C in the knockout cells increased this activity and decreased this ribonucleotide accumulation. Same events were observed when RH2C variants with an AGS-causing mutation, R69W or K145I, were expressed. These results corresponded with our previous results on the RNase H2 A subunit (RH2A)-knockout NIH3T3 cells and the expression of wild-type RH2A or RH2A variants with an AGS-causing mutation, N213I and R293H, in the RH2A-knockout cells.
Dihydroisocoumarins of Hydrangea macrophylla var. thunbergii inhibit binding of the SARS-CoV-2 spike protein to ACE2
Authors: Yano Akira , Yuki Sayaka , Kanno Yuko , Shiraishi Akiko , Onuma Hiroki , Uesugi Shota 
Published: June 2023

ABSTRACT
Binding of the spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to the cognate angiotensin-converting enzyme 2 (ACE2) receptor is the initial step in the viral infection process. In this study, we screened an in-house extract library to identify food materials with inhibitory activity against this binding using enzyme-linked immunosorbent assays and attempted to ascertain their active constituents. Hydrangea macrophylla var. thunbergii leaves were identified as candidate materials. Its active compounds were purified using conventional chromatographic methods and identified as naringenin and dihydroisocoumarins (hydrangenol and phyllodulcin), which have affinities for the ACE2 receptor and inhibit ACE2 receptor–spike S1 binding. Given that boiled water extracts of H. macrophylla leaves are commonly consumed as sweet tea in Japan, we speculated that this tea could be used as a potential natural resource to reduce the risk of SARS-CoV-2 infection.
Improving comparative analyses of Hi-C data via contrastive self-supervised learning
Authors: Li Han , He Xuan , Kurowski Lawrence , Zhang Ruotian , Zhao Dan , Zeng Jianyang 
Published: June 2023

AbstractHi-C is a widely applied chromosome conformation capture (3C)-based technique, which has produced a large number of genomic contact maps with high sequencing depths for a wide range of cell types, enabling comprehensive analyses of the relationships between biological functionalities (e.g. gene regulation and expression) and the three-dimensional genome structure. Comparative analyses play significant roles in Hi-C data studies, which are designed to make comparisons between Hi-C contact maps, thus evaluating the consistency of replicate Hi-C experiments (i.e. reproducibility measurement) and detecting statistically differential interacting regions with biological significance (i.e. differential chromatin interaction detection). However, due to the complex and hierarchical nature of Hi-C contact maps, it remains challenging to conduct systematic and reliable comparative analyses of Hi-C data. Here, we proposed sslHiC, a contrastive self-supervised representation learning framework, for precisely modeling the multi-level features of chromosome conformation and automatically producing informative feature embeddings for genomic loci and their interactions to facilitate comparative analyses of Hi-C contact maps. Comprehensive computational experiments on both simulated and real datasets demonstrated that our method consistently outperformed the state-of-the-art baseline methods in providing reliable measurements of reproducibility and detecting differential interactions with biological meanings.