bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structure of the space of GL4 (Z2)-coinvariants Z2 ⊗ GL4 (Z2) P H∗ (Z42,Z2) in some generic degrees and its application
Authors: Võ Phúc Đặng 
Published: March 2023

<p> Let $A$ denote the Steenrod algebra at the prime 2 and let $k = \mathbb Z_2.$ A very difficult problem in algebraic topology is to determine a minimal set of $A$-generators for the polynomial ring $P_q = k[x_1, \ldots, x_q] = H^{*}(k^{q}, k)$ on $q$ generators $x_1, \ldots, x_q$ with $|x_1|= |x_2| = \cdots = |x_q| = 1.$ Equivalently, one can write down explicitly a basis for the cohit space $\pmb{Q}^{q} := k\otimes_{A} P_q$ in each non-negative degree $n.$ This subject, which has now a long history, is the content of the classical "hit problem" proposed in [Abstracts Papers Presented Am. Math. Soc. \textbf{833} (1987), 55-89]. Furthermore, it is closely related to the $q$-th transfer homomorphism $Tr_q^{A}$ constructed by William Singer in [Math. Z. \textbf{202} (1989), 493-523]. This $Tr_q^{A}$ passes from the space of $G(q)$-coinvariant $k\otimes _{G(q)} P_A((P_q)_n^{*})$ of $\pmb{Q}^{q}$ to the $k$-cohomology group of the Steenrod algebra, ${\rm Ext}_{A}^{q, q+n}(k, k),$ where $G(q)$ denotes the general linear group of degree $q$ over the field $k,$ whereas $P_A((P_q)_n^{*})$ is the primitive part of $(P_q)^{*}_n$ under the action of $A.$ Particularly, Singer conjectured that $Tr_q^{A}$ is a monomorphism, but this remains unanswered for all $q\geq 4.$ Accordingly, the aim of the present study is to deal with the Singer conjecture for rank 4 in certain internal degrees. Specifically, by the usage of the techniques of the hit problem in four variables, we explicitly determine the structure of $k\otimes _{G(4)} P_A((P_4)_{n}^{*})$ in some generic degrees $n.$ Then, applying these results and a representation of $Tr_4^{A}$ via the lambda algebra, we state that Singer's conjecture is true for rank $q = 4$ in respective degrees $n.$ This has contributed to the final proof of Singer's conjecture in the rank 4 case.</p>
Targetless Extrinsic Calibration of Camera and Low-resolution 3D LiDAR
Authors: Ou Ni , Cai Yuhang , Yang Jiawen , Wang Junzheng 
Published: March 2023

<p>This article provides a targetless extrinsic calibration method between camera and low-resolution 3D LiDAR. We carried out real-world experiments on a multi-sensor platform containing a Velodyne VLP-16 LiDAR and a camera. Ground-truth extrinsic matrix is generated by a state-of-the-art target-based method. Regarding the calibration error, the rotation and translation RMSE of our method are 0.59° and 3cm respectively. Codes are avaible at https://github.com/gitouni/Targetless-LiDAR-camera-calibration.</p>
<p><br></p>
<p><strong>NB:</strong> This article has been <strong>accepted </strong>for publication in IEEE Sensors Journal. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Citation Information: 10.1109/JSEN.2023.3263833</p>
A modular LoRa sensor network for research and industrial application
Authors: Neitzke Klaus-Peter 
Published: March 2023

<p>The paper describes the structure of a wireless sensor network. This is able to measure, transmit and store field sensor data from a rural environment. The data are stored at a web server and they are available on a web page. LoRa transceivers are responsible for the transfer of the data from the sensor to the gateway. This allows long distances but with a limited data rate. A data acquisition system reads the sensor and transmits the data via LoRa protocol at the 868 MHz frequency. A gateway receives the data and send them to the internet. If there is no direct link between the sensor and the gateway, one or more repeater will forward the data. The gateway between the LoRa and the internet will transfer the data to a web server. All data are available on this server for further analysis. Arduino Uno and Mega Boards and RTF95W LoRa modules are the basis hardware for the sensors, repeater and gateways. An important request to this sensor network was the modular set up of the complete system. Additional no commercial cloud provider is used. All components of this sensor network are self-designed and manufactured. </p>
Beam-Reconfigurable Antenna with Inductive Partially Reflective Surface and Parasitic Elements
Authors: LIANG QIUYAN , Kiong Lau Buon , Zhou Gaonan 
Published: March 2023

<p> A reconfigurable partially reflective surface (PRS) antenna can offer low-cost and low-complexity beam steering, traditionally implemented using a phased array with a bulky feeding network. This paper utilizes ray-tracing to prove analytically that an inductive nonuniform PRS facilitates larger beam deflection and lower sidelobe level (SLL) than a capacitive one, given the same reflection phase difference. With a suitable tradeoff in the beam deflection angle and gain variation between the reconfigurable states, an inductive reconfigurable PRS is designed for a ±13° steering range. To enhance the steering range with minimal complexity, two parasitic elements loaded with PIN diodes are added to the feeding source, resulting in the overall steering range of ±30°. The fabricated prototype verified that the pencil-shape beam can be steered towards 0º and ±30º with SLLs of less than -19dB at 5.5GHz. The antenna achieved peak realized gains of 9.5-10.4dBi for the three states with gain variation of less than 0.9dBi. The measured overlapped impedance band covers 5.41-5.63 GHz for all states. </p>
Optimizing representations of multiple simultaneous attributes for gait generation using deep learning
Authors: Sharma Abhishek , Rombokas Eric 
Published: March 2023

<p>Rich variations in gait are generated according to several attributes of the individual and environment, such as age, athleticism, terrain, speed, personal ”style”, mood, etc. The effects of these attributes can be hard to quantify explicitly, but relatively straightforward to sample. We seek to generate gait that expresses these attributes, creating synthetic gait samples that exemplify a custom mix of attributes. This is difficult to perform manually, and generally restricted to simple, human-interpretable and handcrafted rules. In this manuscript, we present neural network architectures to learn representations of hard to quantify attributes from data, and generate gait trajectories by composing multiple desirable attributes. We demonstrate this method for the two most commonly desired attribute classes: individual style and walking speed. We show that two methods, cost function design and latent space regularization, can be used individually or combined. We also show two uses of machine learning classifiers that recognize individuals and speeds. Firstly, they can be used as quantitative measures of success; if a synthetic gait fools a classifier, then it is considered to be a good example of that class. Secondly, we show that classifiers can be used in the latent space regularizations and cost functions to improve training beyond a typical squared-error cost. </p>
Laplacian salience-gated feature pyramid network for accurate liver vessel segmentation
Authors: Gao Zhan , Zong Qiuhao , Wang Yiqi , Yan Yan , Wang Yuqing , Zhu Ning , Zhang Jin , Wang Yunfu , Zhao Liang 
Published: March 2023

<p>Liver vessels generated from computed tomography are usually pretty small, which poses big challenges for satisfactory vessel segmentation, including 1) the scarcity of high-quality and large-volume vessel masks, 2) the difficulty in capturing vessel-specific features, and 3) the heavily imbalanced distribution of vessels and liver tissues. To advance, a sophisticated model and an elaborated dataset have been built. The model has a newly conceived Laplacian salience filter, highlighting vessel-like regions and suppressing other liver regions, to shape the vessel-specific feature learning and to balance vessels against others. It is further coupled with a pyramid deep learning architecture to capture various levels of features, hence the enhancement of feature formulation. Experiments show that this model markedly outperforms the state-of-the-art approaches, achieving a relative improvement of Dice score by at least 1.63% compared to the existing best model on available datasets. More promisingly, the averaged Dice score produced by existing models on the newly con- structed dataset is as high as 0.728 ± 0.067, which is at least 19.1% higher than that obtained from the existing best dataset under the same settings. These observations suggest that the proposed Laplacian salience, along with the elaborated dataset, can be helpful for liver vessel seg- mentation. </p>
Modeling the Brain as Shannon Information Source Using fMRI Signals
Authors: Gunal Degirmendereli Gonul , Yarman Vural Fatoş T. 
Published: March 2023

<p>In this study, we suggest an information-theoretic brain model, assuming that the fMRI recordings of a subject, who performs a cognitive task, are the observable signals, generated by the anatomical regions, each of which can be represented as an information source. Based upon this assumption, we define two versions of Shannon entropy, namely, dynamic and static entropy to analyze the information content of anatomical regions during a cognitive state. We also propose two network models by estimating dynamic and static Kullback-Leibler (K-L) divergences to investigate the interactions across the anatomical regions. </p>
Channel and hardware impairment data augmentation for robust modulation classification
Authors: Perenda Erma , Bovet Gerome , Zheleva Mariya , Pollin Sofie 
Published: March 2023

<p>Deep learning has achieved remarkable results in modulation classification under two assumptions: a large amount of labeled class-balanced data is available, and test data shares the same distribution as data used for training. However, due to dynamic wireless fading channels and hardware imperfections, it is implausible that these assumptions hold in practice. This paper proposes Model-based Data Augmentation for Deep learning-based Modulation Classification (MDA-DMC) to build a high-quality dataset from a small amount of labeled seed data.<br>
We develop two novel augmentation methods to combat channel and hardware impairments, along with two widely<br>
used augmentation methods, adding Gaussian noise and rotation. We are the first to investigate the relationship<br>
between augmentation methods and impairments due to channel and hardware imperfections. We show that MDA-<br>
DMC can successfully combat the hardware imperfections for the same channel model as the channel model of<br>
seed data. Furthermore, with a few AWGN seed data, MDA-DMC achieves an accuracy gain of up to 17.20% in fading channels. By adding a few fading seed data, MDA-DMC improves accuracy by an additional 10.78% in fading channels. </p>
Improper Gaussian Signaling for IRS Assisted Multiuser SWIPT Systems With Hardware Impairments
Authors: Fang Junjie , Zhang Chao , Wu QingQing , Li Ang 
Published: March 2023

<p>In this paper, we focus on intelligent reflecting surface (IRS) assisted multiuser simultaneous wireless information and power transfer (SWIPT) systems with hardware impairments (HWIs), which result from the aggregate effect of in-phase and quadrature-phase imbalance (IQI), power amplifier non-linearity, quantization distortion, phase noise, etc. Improper Gaussian signaling (IGS) is employed to combat the signal distortion incurred by HWIs and the interference from other users. We aim to maximize the minimum achievable information rate among all users by jointly optimizing the active beamforming vectors, passive reflecting coefficients, and power splitting coefficients, subject to the minimum harvested energy requirements of these users and the total power budget at the transmitter. Due to the intricate coupling between the reflecting coefficients and beamforming vectors, we propose a two-level iterative optimization algorithm to solve this non-convex problem. Based on the above, we also study the weighted rate-energy region maximization problem. Numerical results show that the use of IGS significantly outperforms traditional proper Gaussian signaling (PGS) in the considered systems and also affirm the effectiveness of the proposed optimization algorithm.</p>
Intraosseous access: a simulation analysis
Authors: Antov Miki  , Rinaldi Bartolomeo , Bergesio Giorgio  , Vallana Vittoria  , Roasio Agostino  
Published: March 2023

Introduction: The priority in critical patients is to find a vascular access. The most used access is the peripheral venous access, but when its placement goes wrong or is difficult, the literature recommends implementing intraosseous (IO) access as a valid alternative. The IO access is a rapid, reliable and a relatively safe method. Despite the recommendations, IO access is rarely used when indicated. The objective of this study was to evaluate the critical points of the IO procedure, positioning time, percentage of success at first attempt in simulation and, in according to obtained outcomes, checking of the procedure inclusion within university programs.
Material and methods: A sample of 84 people was recruited; among them 44 were students attending the third year of the Degree Course in Nursing of the University of Turin (site of Asti) and 40 nurses from intensive care unit and emergency ward of Cardinal Massaia Hospital of Asti. A short lesson about IO access took place, followed by a practical demonstration. Subsequently, the IO access insertion performance and difficulty perceived were evaluated. Statistical analysis was performed by means of inferential and descriptive bivariate analysis.
Results: The average value of the performance “IO access insertion” was 12.2±1.22 (average of the assigned points by the sample). The average difficulty perceived was 1.65±0.42, and mainly found in “selection of the correct point of insertion” with a value of 2.64±0.87, “needle placement” with a medium value of 2.35±1.02 and “medication” with a value of 2.0±0.94. Average execution time of IO access and needle placement were 73.3 and 36.1 seconds, respectively. Finally, the success rate at the first attempt was 72.6%.
Discussion: The IO access execution time, for the complete procedure and for the needle placement only, was below the 3 minutes. Among nurses and students, data of the success of the procedure show significant results, but the difference between subgroups is still lower than expected considering
the results of the statistical analysis about procedure success, execution time and error percentage. Most critical issues were found in the retrieval of area of insertion, whereas the most difficulty perceived was on reference point selection, correct needle placement and medication. The procedure may become subject of teaching in the University.
Conclusion: The study evaluates the possibility of the IO access use, by underlining how is necessary a training about it. The principal reason of ‘non-use’ of this device is the disinformation of healthcare professionals. The results seem to underline the importance of a possible integration of IO access technique in the programs of Degree Nursing Course and post-base course. This may improve nursing in emergency situations and therefore, patient outcomes. When healthcare staff training is possible, periodical refresh is particularly recommended in order to maintain the acquired skills.
Gestão de riscos como melhoria para a aquisição e distribuição de insulinas pelo SUS
Authors: De Alencar Caldas Bezerra Déa Regina , Beloti Barreto Benilson 
Published: March 2023

Objetivo: identificar a melhoria por meio da gestão de risco aplicada aos processos de aquisição e distribuição de insulinas humanas NPH. Método: O estudo foi realizado por etapas: em 1º momento foram realizadas reuniões (Brainstorming) e em 2º momento foi elaborado um formulário eletrônico em forma de questionário sendo mostrado os “eventos” de riscos com os pesos inerentes à probabilidade e ao impacto que geraram o risco inerente aos processos de aquisição e distribuição de insulinas humanas NPH e Regular pelo Ministério da Saúde. Resultados: Considerando os processos houve maior incidência de riscos médios. Não foi apontado risco muito baixo, não foi identificado risco extremo e foram apresentados apenas 02 (dois) riscos altos. Conclusão: A gestão de risco do referido estudo é uma ferramenta de melhoria para os processos de aquisição e distribuição de insulinas humanas NPH e Regular pelo Ministério da Saúde.
Diagnóstico diferencial entre COVID-19 e Dengue: Estudo realizado na diretoria de vigilância epidemiológica de itajaí
Authors: Lamim Pereira Karoline Noemia , Negri Reiser Milene 
Published: March 2023

Objective: To present and discuss dengue cases in the city of Itajaí-SC through a study carried out by the Epidemiological Surveillance Board of the Municipal Health Department. Method: This is a cross-sectional observational study with a quantitative analytical approach with data collected in the year 2021, between April and July. Data analysis was performed through investigations of Covid-19 and electronic medical records of patients. Results: The data collected obtained 119 investigations and the research subjects were patients suspected of Covid-19 who had negative results for the disease, with symptoms suggestive of dengue. The sample consisted of 44 participants, where categories related to gender, neighborhood of residence and age group were identified and analyzed. Conclusion: It is believed that these findings may be extremely relevant for managers and health professionals, thus contributing to the differential diagnosis of the disease.
Voces simbólicas y procesos de adaptación de las jóvenes migrantes haitianas en Chile
Authors: Pavez-Soto Iskra , Poblete-Godoy Daniela , Ortíz-López Juan , Voltarelli Monique Ap. , Villegas Pamela , Grandón Nicolás , Ansaldo Manuel , Molina Andrea , Leonelli Giselle , Andrades Karen 
Published: March 2023

En este artículo se presentan los resultados de un estudio cualitativo e interdisciplinario cuyo objetivo general fue comprender las experiencias migratorias de dos jóvenes haitianas desde una perspectiva interseccional. Se analiza críticamente el concepto de ‘voz simbólica’ (Dovetto 2012) en el acto comunicativo a partir de la subjetividad situada que emana de diversos cruces de poder (edad, sexo-género, nacionalidad-‘raza’, idioma, clase). La ‘voz’ se analiza en su dimensión comunicativa y simbólica, como metáfora de la acción de ‘estar expresadas’. El método utilizado fue el estudio de caso múltiple a través de entrevistas semiestructuradas en formato de videoconferencia. Se concluye que las mujeres haitianas participantes en el estudio tenían motivaciones económicas para la migración internacional, producto de un contexto de origen marcado por frecuentes crisis. Además, las jóvenes migrantes tienen una autopercepción del volumen de su voz que podría derivar en eventuales procesos de exclusión, debido a una acústica diferente. En este sentido, se observa una gran capacidad adaptativa en las jóvenes haitianas, ya que deben acomodarse a un nuevo contexto cultural y, además, aprender otro idioma (su lengua materna es el creole). Sin embargo, como en estudios previos, se constató la sensación de temor por no demostrar eficacia lingüística. Tras finalizar la educación media, las jóvenes migrantes ingresaron al mercado de trabajo, tuvieron acceso a dinero y consumo, cuestión interpretada por ellas como una forma de obtener independencia económica y autonomía personal. Aunque su volumen de voz y habla se adapta al contexto chileno, igualmente se percibe riesgo de racialización. Entonces, el concepto de ‘voz simbólica’ articula la dimensión concreta de la voz acústica y simbólica, como la necesidad de expresión. El artículo finaliza con algunas recomendaciones para favorecer procesos de inclusión social.
Multifilter Time-series Observations of Eleven Blue Short-period ATLAS Variable Stars
Authors: Koen C. , Schaffenroth V. , Kniazev A. 
Published: March 2023

Abstract
Eleven periodic variable stars were observed photometrically through two to four filters from the set UBVR

C

I

C
. Phase-folded data for each star cover full cycles of variation. Spectral energy distributions, based on absolute photometry extracted from the literature, are used to inform models of the stars. The stars include four eclipsing systems with hot subdwarfs of spectral type O or B (sdO/B). Periods are in the range 1.8–2.2 hr. Four reflection-effect binaries, with amplitudes as large as 0.5 mag in the R

C
filter were observed; periods range from 1.6 to 2.4 hr. In two of these latter systems, the primary stars are also sdB stars, while two have white-dwarf components. In all eight of these binaries the companion stars are probably M dwarfs. The remaining three stars are pulsators: one large-amplitude δ Scuti star previously misclassified as an eclipsing system; one field SX Phe star near the Galactic plane; and one multiperiodic high-luminosity star of unknown type. The amplitude is usually a strong function of the wavelength in pulsating stars, but this is not the case for the high-luminosity variable. One possible explanation is that the luminous star has a pulsating companion. The SX Phe and high-luminosity star are both heavily reddened (A

V
> 5 mag).
The Mid-infrared Molecular Inventory toward Orion IRc2
Authors: Nickerson Sarah , Rangwala Naseem , Colgan Sean W. J. , DeWitt Curtis , Monzon Jose S. , Huang Xinchuan , Acharyya Kinsuk , Drozdovskaya Maria N. , Fortenberry Ryan C. , Herbst Eric , Lee Timothy J. 
Published: March 2023

Abstract
We present the first high spectral resolution mid-infrared survey in the Orion BN/KL region, covering 7.2–28.3 μm. With SOFIA/EXES, we target the enigmatic source Orion IRc2. While this is in the most prolifically studied massive star-forming region, longer wavelengths and molecular emission lines dominated previous spectral surveys. The mid-infrared observations in this work access different components and molecular species in unprecedented detail. We unambiguously identify two new kinematic components, both chemically rich with multiple molecular absorption lines. The “blue clump” has v
LSR = −7.1 ± 0.7 km s−1, and the “red clump” has 1.4 ± 0.5 km s−1. While the blue and red clumps have similar temperatures and line widths, molecular species in the blue clump have higher column densities. They are both likely linked to pure rotational H2 emission also covered by this survey. This work provides evidence for the scenario that the blue and red clumps are distinct components unrelated to the classic components in the Orion BN/KL region. Comparison to spectroscopic surveys toward other infrared targets in the region show that the blue clump is clearly extended. We analyze, compare, and present in-depth findings on the physical conditions of C2H2, 13CCH2, CH4, CS, H2O, HCN,

H

13

CN

, HNC, NH3, and SO2 absorption lines and an H2 emission line associated with the blue and red clumps. We also provide limited analysis of H2O and SiO molecular emission lines toward Orion IRc2 and the atomic forbidden transitions [Fe ii], [S i], [S iii], and [Ne ii].