bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complete numerical description of the laser-induced thermal profile in a liquid, to explain complex self-induced diffraction patterns
Authors: Domínguez-Juárez J L , Quiroz-Juárez M A , Aragón J L , Quintero-Bermúdez R , Quintero-Torres R 
Published: February 2023

Abstract
In the past, laser propagation in a fluid with heat transfer has been modeled using simplistic conduction and convection conditions yielding inaccurate predictions. Here we present a detailed numerical study describing the thermal profile of the fluid and its interaction with the laser. Furthermore, we evaluate the diffraction field in the far field produced by a pump beam impinging in the fluid and the interferometric pattern obtained normal to the propagation direction to test our model. Direct comparison between experimental results and numerical simulation allows for a complete understanding of the energy transfer from the laser to the liquid and the subsequent effect on the laser propagation. Spatial self-phase modulation and propagation control from small-phase diffraction to aberration-controlled diffraction and up to diffraction oscillation are observed and explained with our modeling.
Charge sharing simulations and measurements for digital algorithms aiming at subpixel resolution in photon counting pixel detectors
Authors: Krzyżanowska A. , Szczygieł R. , Gryboś P. , Koczwara J. , Cisło K. , Stasiak A. 
Published: February 2023

Abstract
Hybrid pixel detectors are segmented devices used for X-ray detection that consist of a sensor attached to the readout electronics. Detectors working in single-photon counting mode process each incoming photon individually, have essentially infinite dynamic range, and by applying energy discrimination they provide noiseless imaging. To improve the resolution of the detector and allow operation with high-intensity photon fluxes, the pixel size is reduced. However, with decreasing pixel size, a charge sharing effect is more prominent. This leads to false event registration or omitting the event, and degradation of the energy resolution of the detector. Algorithms aiming at reducing the influence of charge sharing have already been implemented on-chip. However, the spatial resolution of the detector can be increased beyond the physical size of the pixel if the charge proportions collected by neighboring pixels are analyzed.The simulations show that charge cloud size referred to pixel size and noise are the key parameters that determine the accuracy of the subpixel algorithm. The article shows the concept of subpixel algorithm and the simulations for different detector parameters and approximation algorithms. The slanted-edge method was implemented to quantify the resolution of detectors consisting standard readout architecture. The chips were simulated and tested to verify the influence of different bias voltages, sensor materials, and thicknesses on charge sharing and as a consequence on the detector resolution. The simulated and measured edge spread functions were compared. The results show that the simulator can be used to describe the spatial resolution of the detectors, and can be used for further studies of the resolution of detectors with subpixel algorithm implemented.
Stimulus classification with electrical potential and impedance of living plants: comparing discriminant analysis and deep-learning methods
Authors: Buss Eduard , Aust Till , Wahby Mostafa , Rabbel Tim-Lucas , Kernbach Serge , Hamann Heiko 
Published: February 2023

Abstract
The physiology of living organisms, such as living plants, is complex and particularly difficult to understand on a macroscopic, organism-holistic level. Among the many options for studying plant physiology, electrical potential and tissue impedance are arguably simple measurement techniques that can be used to gather plant-level information. Despite the many possible uses, our research is exclusively driven by the idea of phytosensing, that is, interpreting living plants’ signals to gather information about surrounding environmental conditions. As ready-to-use plant-level physiological models are not available, we consider the plant as a blackbox and apply statistics and machine learning to automatically interpret measured signals. In simple plant experiments, we expose Zamioculcas zamiifolia and Solanum lycopersicum (tomato) to four different stimuli: wind, heat, red light and blue light. We measure electrical potential and tissue impedance signals. Given these signals, we evaluate a large variety of methods from statistical discriminant analysis and from deep learning, for the classification problem of determining the stimulus to which the plant was exposed. We identify a set of methods that successfully classify stimuli with good accuracy, without a clear winner. The statistical approach is competitive, partially depending on data availability for the machine learning approach. Our extensive results show the feasibility of the blackbox approach and can be used in future research to select appropriate classifier techniques for a given use case. In our own future research, we will exploit these methods to derive a phytosensing approach to monitoring air pollution in urban areas.
Metal-organic framework derived porous hollow ZnCo2S4 improving electrocatalytic oxidation of glucose
Authors: Wang Yanan , Yan Jun , Zhu Weiwei , Zhang Yuheng , Cao Keru , Zhang Biao , Yu Xiaohua , Shen Qingfeng , Liu Chunxia , Wang Qi 
Published: February 2023

Abstract
In this paper, ZnCo2S4 nanomaterial with a unique structure were synthesized by static and hydrothermal method and applied to the field of electrochemical sensing. Based on the advantages of metal-organic frameworks (MOF) materials with large specific surface areas, multiple active centers, and synergistic effect of multi-metals, we choose Zn and Co bimetallic MOF as the precursor material and synthesized ZnCo2S4 nanomaterials with large active area and multiple active centers after vulcanization. In addition, we verified the excellent electrochemical sensing performance of the prepared ZnCo2S4 nanomaterial through the catalytic oxidation experiment of glucose. The results showed that ZnCo2S4 nanomaterials with bimetallic MOF as a precursor had higher electrocatalytic activity for glucose oxidation than ZnCo2S4 nanomaterials without precursor and single metal sulfide. According to the analysis of the electrochemical performance of the material, the detection limit is extremely low (0.007 μM)and two linear range (3 ∼9 μM) and (10 ∼100 μM)for glucose. Therefore, we believe that the method of preparing polymetallic sulfides with MOF as a precursor is of great significance in electrochemical sensing.
Machining of nickel-based super alloy inconel 718 using alumina nanofluid in powder mixed electric discharge machining
Authors: Patel Rakesh Kumar , Pradhan Mohan Kumar 
Published: February 2023

Abstract
Inconel 718 is a nickel-based superalloy with exceptional mechanical qualities, including high tensile and impact strength, as well as good oxidation and corrosion resistance. EDM is widely used to cut hard materials of this type by common parameters affecting spark, current, duty cycle etc, whereas MRR, SR can be greatly improved by using sufficient fluid properties of the dielectric. Incorporation of alumina nanoparticles with deionized water may improve machining performance, with no prior research on machining characteristics of Inconel 718 using alumina nanofluid in EDM. The machinability of Inconel 718 via the electrical discharge machining process, as well as the performance of alumina nanofluid as a dielectric medium, have been evaluated using deionized water with a concentration of 0.5%. In this study, based on the effect of various input parameters such as

I

p

,

P

o
n

and

G

v

on the MRR, TWR and SR, and the RSM has been used to conduct the experiments. A maximum MRR of 0.048 g min−1, a TWR of 0.00632 g min−1 and an SR of 3.271 μm are achieved. Overall, the use of alumina nanofluid can improve machining performance in EDM, due to the reduction of abnormalities such as crack formation and molten metal debris in the machined surface of Inconel 718.
Hadamard product-based in-memory computing design for floating point neural network training
Authors: Fan Anjunyi , Fu Yihan , Tao Yaoyu , Jin Zhonghua , Han Haiyue , Liu Huiyu , Zhang Yaojun , Yan Bonan , Yang Yuchao , Huang Ru 
Published: February 2023

Abstract
Deep neural networks (DNNs) are one of the key fields of machine learning. It requires considerable computational resources for cognitive tasks. As a novel technology to perform computing inside/near memory units, in-memory computing (IMC) significantly improves computing efficiency by reducing the need for repetitive data transfer between the processing and memory units. However, prior IMC designs mainly focus on the acceleration for DNN inference. DNN training with the IMC hardware has rarely been proposed. The challenges lie in the requirement of DNN training for high precision (e.g. floating point (FP)) and various operations of tensors (e.g. inner and outer products). These challenges call for the IMC design with new features. This paper proposes a novel Hadamard product-based IMC design for FP DNN training. Our design consists of multiple compartments, which are the basic units for the matrix element-wise processing. We also develop BFloat16 post-processing circuits and fused adder trees, laying the foundation for IMC FP processing. Based on the proposed circuit scheme, we reformulate the back-propagation training algorithm for the convenience and efficiency of the IMC execution. The proposed design is implemented with commercial 28 nm technology process design kits and benchmarked with widely used neural networks. We model the influence of the circuit structural design parameters and provide an analysis framework for design space exploration. Our simulation validates that MobileNet training with the proposed IMC scheme saves

91.2
%

in energy and

13.9
%

in time versus the same task with NVIDIA GTX 3060 GPU. The proposed IMC design has a data density of 769.2 Kb mm−2 with the FP processing circuits included, showing a 3.5 × improvement than the prior FP IMC designs.
On the Koebe quarter theorem for trinomials with fold symmetry
Authors: Dmitrishin Dmitriy , Gray Daniel , Stokolos Alexander 
Published: February 2023

The Koebe problem for univalent polynomials with real coefficients is fully solved only for trinomials, which means that in this case the Koebe radius and the extremal polynomial (extremizer) have been found. The general case remains open, but conjectures have been formulated. The corresponding conjectures have also been hypothesized for univalent polynomials with real coefficients and

T
T

-fold rotational symmetry. This paper provides confirmation of these hypotheses for trinomials

z
+
a

z

T
+
1

+
b

z

2
T
+
1

z + az^{T + 1} + bz^{2T + 1}

. Namely, the Koebe radius is

r
=
4

cos
2

⁡

(

π
(
1
+
T
)

2
+
3
T

)

r=4\cos ^2\left (\frac {\pi (1+T)}{2+3T}\right )

, and the only extremizer of the Koebe problem is the trinomial

B

(
T
)

(
z
)
=
z
+

2

2
+
3
T

(
−
T
+
(
2
+
2
T
)
cos
⁡

(

π
T

2
+
3
T

)

)

z

1
+
T

+

+

1

2
+
3
T

(
2
+
T
−
2
T
cos
⁡

(

π
T

2
+
3
T

)

)

z

1
+
2
T

.

\begin{gather*} B^{(T)}(z)=z+\frac 2{2+3T}\left (-T+(2+2T)\cos \left (\frac {\pi T}{2+3T}\right )\right )z^{1+T}+\\ +\frac 1{2+3T}\left (2+T-2T\cos \left (\frac {\pi T}{2+3T}\right )\right )z^{1+2T}. \end{gather*}
Trophic Ecology Drives Annual Variation in Abundance of Aphidophagous (Coccinellidae, Coleoptera and Chrysopidae, Neuroptera) and Phytophagous (Noctuidae, Lepidoptera) Insects: Evidence From Light Traps
Authors: Honěk Alois , Novák Ivo , Martinková Zdenka , Saska Pavel , Kulfan Ján , Holecová Milada , Jauschová Terézia , Zach Peter 
Published: February 2023

Abstract
Using seventeen-year records of daily light trap catches of predatory Neuroptera (Chrysopidae, 13 species) and Coleoptera (Coccinellidae, 10 species), and of phytophagous Lepidoptera (Noctuidae, 79 species) we tested a hypothesis predicting that the range of annual fluctuations of catch size is greater in aphidophages, whose diet occurs irregularly and locally, than in phytophages, whose diet is available regularly and abundantly. The ranges of fluctuations of annual catches measured as the coefficient of variance (standard deviation expressed as a percentage of the average) of detrended annual catches were significantly greater in Chrysopidae (84 ± 7.1%) and Coccinellidae (121 ± 14.0%) than in Noctuidae (66 ± 2.6%). The difference between aphidophages and phytophages remained when we tested differences between the former and the samples of Noctuidae consisting only of those species whose characteristics (abundance, length and timing of flight period, number of generations per season, overwintering stage) were the same as in aphidophages. Similarly, no differences were found between sets of Noctuidae species that have characteristics (abundance, voltinism, period of flight activity) similar to aphidophages and sets of Noctuidae species that have contrary characteristics. Flight abilities of aphidophages are smaller than those of Noctuidae. As a result of this difference a light trap collects populations of aphidophages from a smaller area than populations of Noctuidae. Thus the extent of fluctuations of catch size of aphidophagous and phytophagous species is influenced both by annual differences in food availability and by differences in size of the area from which the individuals assembling to the light source are recruited.
The Role of Ozone as a Mediator of the Relationship Between Heat Waves and Mortality in 15 French Urban Areas
Authors: Alari Anna , Chen Chen , Schwarz Lara , Hdansen Kristen , Chaix Basile , Benmarhnia Tarik 
Published: February 2023

Abstract
Heat and tropospheric ozone have acute impacts on rates of premature death. Warm temperatures affect the photochemical processes in ozone formation, suggesting ozone as a mediator of the acute health effect of heat on mortality. We assembled a summertime daily time-series data set of 15 French urban areas during 2000–2015 to decompose the acute total effect of heat waves on mortality into natural direct and indirect effects using a regression-based product method under the potential outcomes framework. For each area, we estimated the effect of heat waves on mortality using a quasi-Poisson model with adjustment for covariates such as lagged nitrogen dioxide concentration, and we modeled ozone with a linear regression of heat waves and the same set of covariates. We pooled estimates across areas using random-effects models. We also provide R software code (R Foundation for Statistical Computing, Vienna, Austria) with which to reproduce or replicate our analysis. Most areas demonstrated evidence of mediation by ozone, with the pooled relative risks for natural indirect effects being 1.03 (95% confidence interval (CI): 1.02, 1.05), 1.03 (95% CI: 1.01, 1.04), and 1.04 (95% CI: 1.00, 1.07) for nonaccidental, cardiovascular, and respiratory mortality, respectively. We found evidence of a mediation effect by ozone in the association between heat waves and mortality in France which varied by geographic location and cause of mortality.
A 3-Year Retrospective Study of the Impact of Integrating an Addiction Liaison Team into an Outpatient Alcoholism Treatment Programme
Authors: Bernal-Sobrino José L , Arias-Horcajadas Francisco , Varela-Rodríguez Carolina , Losada-Pérez Cristina , Blanco-Echevarría Agustín , xsdel Yerro Alvarez María J , Martín-Mayor Marta , Rubio Gabriel 
Published: February 2023

Abstract

Background
The number of inpatients with alcohol and other substance-related problems (ASRP) in the general hospital population at any time is vast. To meet the needs of those patients, most hospitals have an Addiction Liaison Team (ALT) that diagnoses and initiates the treatment of the addictive disorder. In our hospital, this team is part of a more extensive and intensive Outpatient Alcoholism Treatment Programme that facilitates the continuity of care.

Aim
the main goal of this study is to evaluate the performance and effectiveness of our inpatient ALT.

Methodology
we carried out an observational cohort study of patients with ASRP admitted to the hospital from 2015 to 2017. We evaluated the performance and effectiveness of our ALT: referrals to the programme, inpatients mortality, readmissions to hospital, hospital length of stay (LOS) and medical or surgical treatment adherence.

Results
out of 133,181 admissions, 17,387 (13.14%) were positive for ASRP, and 615 (3.54%) were referred to the ALT. Referred patients had less in-hospital mortality, shorter LOS and lower risk of readmissions during the first year of follow-up. Subjects treated in the programme had better therapeutic adherence.

Conclusions
integrating the ALT into an outpatient programme facilitates an earlier detection and initiation of treatment during the hospital stay and the continuity of care. Alcohol misuse conditions affect the patient’s prognosis and health outcomes, so appropriate care is needed. Inclusion in the programme was associated with less risk of hospital mortality, fewer readmissions and a lower LOS.
The habitat connectivity hypothesis of escape in urban woodland birds
Authors: Radvan Max , Rendall Anthony R , Weston Michael A 
Published: February 2023

AbstractHabitat destruction and fragmentation increasingly bring humans into close proximity with wildlife, particularly in urban contexts. Animals respond to humans using nuanced anti-predator responses, especially escape, with responses influenced by behavioral and life history traits, the nature of the risk, and aspects of the surrounding environment. Although many studies examine associations between broad-scale habitat characteristics (i.e., habitat type) and escape response, few investigate the influence of fine-scale aspects of the local habitat within which escape occurs. We test the “habitat connectivity hypothesis,” suggesting that given the higher cost of escape within less connected habitats (due to the lack of protective cover), woodland birds should delay escape (tolerate more risk) than when in more connected habitat. We analyze flight-initiation distances (FIDs) of five species of woodland birds in urban Melbourne, south-eastern Australia. A negative effect of habitat connectivity (the proportion of the escape route with shrubs/trees/perchable infrastructure) on distance fled was evident for all study species, suggesting a higher cost of escape associated with lower connectivity. FID did not vary with connectivity at the location at which escape was initiated (four species), apart from a positive effect of habitat connectivity on FID for Noisy Miner Manorina melanocephala. We provide some support for two predictions of the “habitat connectivity hypothesis” in at least some taxa, and conclude it warrants further investigation across a broader range of taxa inhabiting contrasting landscapes. Increasing habitat connectivity within urban landscapes may reduce escape stress experienced by urban birds.
eccDNA Atlas: a comprehensive resource of eccDNA catalog
Authors: Zhong Tengwei , Wang Wenqing , Liu Houyan , Zeng Maolin , Zhao Xinyu , Guo Zhiyun 
Published: February 2023

AbstractExtrachromosomal circular DNA (eccDNA) represents a large category of non-mitochondrial and non-plasmid circular extrachromosomal DNA, playing an indispensable role in various aspects such as tumorigenesis, immune responses. However, the information of characteristics and functions about eccDNA is fragmented, hiding behind abundant literatures and massive whole-genome sequencing (WGS) data, which has not been sufficiently used for the identification of eccDNAs. Therefore, establishing an integrated repository portal is essential for identifying and analyzing eccDNAs. Here, we developed eccDNA Atlas (http://lcbb.swjtu.edu.cn/eccDNAatlas), a user-friendly database of eccDNAs that aims to provide a high-quality and integrated resource for browsing, searching and analyzing eccDNAs from multiple species. eccDNA Atlas currently contains 629 987 eccDNAs and 8221 ecDNAs manually curated from literatures and 1105 ecDNAs predicted by AmpliconArchitect based on WGS data involved in 66 diseases, 57 tissues and 319 cell lines. The content of each eccDNA entry includes multiple aspects such as sequence, disease, function, characteristic, validation strategies. Furthermore, abundant annotations and analyzing utilities were provided to explore existing eccDNAs in eccDNA Atlas or user-defined eccDNAs including oncogenes, typical enhancers, super enhancers, CTCF-binding sites, SNPs, chromatin accessibility, eQTLs, gene expression, survival and genome visualization. Overall, eccDNA Atlas provides an integrated eccDNA data warehouse and serves as an important tool for future research.
Big Tech Oligopolies, Keith Cowling, and Monopoly Capitalism
Authors: Conyon Martin , Ellman Michael , Pitelis Christos N , Shipman Alan , Tomlinson Philip R 
Published: February 2023

Abstract
This Special Issue of the Cambridge Journal of Economics (CJE) marks and celebrates forty years since the publication of Keith Cowling’s (1982) seminal Monopoly Capitalism, which synthesised, updated, and extended the earlier work of scholars such as Steindl (1952), Baran and Sweezy (1966), Hymer (1970, 1972) and Kalecki (1971). Since the publication of Monopoly Capitalism, the critical transformative event has been the latest (fourth) technological revolution and the emergence of Big Tech companies such as Facebook, Apple, Amazon, Netflix and Google (aka FAANGs), alongside Microsoft and so-called ‘gig’ or ‘sharing economy’ firms (such as Uber, Airbnb). While initially regarded as exemplars of the dynamics of contemporary capitalism, in recent years there has been a public backlash against Big Tech, and its impact and influence within the global economy. Indeed, several commentators have raised concerns that beneath the veneer of Big Tech lies potentially insidious business models and practices that have led to a rise in corporate power and the monopolisation of markets. These criticisms, however, largely ignore the contributions of earlier scholars of monopoly capitalism. This Special Issue addresses this oversight with a series of papers re-examining and extending the work of Cowling and others in the monopoly capitalism tradition, in the specific context of Big Tech. The Introduction opens with a portrait of Keith Cowling, as a person and his scholarly contribution to the field. It then provides a critical assessment of the papers in this Special Issue. In the Epilogue, we summarise and conclude.