bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of different printing technologies for metallization of crystalline silicon solar cells
Authors: Bhatnagar Mona , Jha Shivangi , Pattnaik Amruta 
Published: March 2023

Abstract
Crystalline silicon solar cells have been the workhorse of the Solar Photovoltaic industry, contributing to >90% of the total installations. The fabrication of solar cells involves multi-process steps i.e. chemical treatment, diffusion, passivation and metallization. Among these process steps of solar cell manufacturing, metallization is the most critical one since it not only influences cell performance but also the cost of manufacturing to a great extent. A proper metallization process essentially helps in reduction of various electrical and optical losses. A lot of research is being carried out on various metallization technologies to arrive at an efficient, cost-effective solution for contact formation. Screen printing, flexographic printing, laser metal sintering and recently developed 3D printing are some of the technologies of interest in this field. While 3D printing, laser metal sintering, etc. are still at lab level, flexographic and gravure printing are in search of a suitable paste which can make the technology production-worthy. It is the screen-printed technology of solar cells that currently dominates the commercial market because of its low production cost and process simplicity. Amongst the several technologies that have been developed till date for cell metallization, the screen-printing technology promises to be the most reliable, rugged and production-worthy technology. In this paper, different metallization technologies viz. screen printing (conventional, knotless), stencil printing, light induced plating, metal sintering, flexographic printing, aerosol printing etc. used for contact formation in high efficiency silicon solar cells have been reviewed.
Broadband absorber with dispersive metamaterials
Authors: Han WonHeum , Park Q-Han 
Published: March 2023

Abstract
A broadband absorber that utilizes a dispersive metamaterial and covers the entire microwave X-band (8–12 GHz) is proposed in the present study. An ideal absorber attached to the surface of a perfect electric conductor requires the permittivity of the absorbing layer to be anomalously dispersive in the targeted broad frequency band. We show that anomalous dispersion of the permittivity for the X-band can be fitted to a two-pole Lorentz oscillator model and realized with the use of a double-layered, square-loop metamaterial. We explain the connection between the two-pole oscillator model and the double-layered, square-loop metamaterial using an equivalent circuit model and present explicit design rules for the metamaterial. We fabricate a 4-mm-thick metamaterial absorber with flexible silicon rubber, a resistor element, and conductive wire using carbon and silver conductive ink. Our metamaterial absorber achieves a reflectance of less than −20 dB over the entire X-band region.
Online communication studies in Brazil: origins and state of the art
Authors: de Albuquerque Afonso , Recuero Raquel , Alves dos Santos Junior Marcelo 
Published: March 2023

Abstract
This article discusses the origins and development of research on online media and online political communication studies in Brazil. It analyzes the factors influencing the origins and development of the research on online media in the country. One the one hand, Brazil belongs to the semiperiphery of the international research system. On the other hand, when the online media appeared, there was already a solid tradition of Communication research in the country. It presents an overview of how Communication education and research organized in Brazil. Against this backdrop, it presents three stages of online media research development in Brazil: (a) incipient, (b) consolidation, and (c) new frontiers. In particular, it examines the impact that online media had on the Brazilian Political Communication research agenda.
Crystal structures of two phases of Pigment Yellow 110 from X-ray powder diffraction data
Authors: van de Streek Jacco , Ivashevskaya Svetlana N. , Schmidt Martin U. 
Published: March 2023

Abstract
The crystal structure of the β-phase of Pigment Yellow 110 was determined from X-ray Powder Diffraction (XRPD) data. The crystal structure of the α-phase (Erk et al., CrystEngComm 2004, 6, 474) is re-refined against the original XRPD data to modern-day standards. Dispersion-corrected density functional theory calculations are used to complement the powder data. The α- and β-form crystallise in

P

1
‾

$P\overline{1}$

and P21/c, respectively, with the P.Y. 110 molecule occupying a centre of symmetry in both forms. Both polymorphs are layered structures consisting of infinite chains of hydrogen-bonded molecules.
Contraction Velocity of the Elbow Flexors Assessed by Tensiomyography: A Comparison Between Formulas
Authors: Mesquita Ricardo N. O. , Latella Christopher , Ruas Cassio V. , Nosaka Kazunori , Taylor Janet L. 
Published: March 2023

Abstract
Mesquita, RNO, Latella, C, Ruas, CV, Nosaka, K, and Taylor, JL. Contraction velocity of the elbow flexors assessed by tensiomyography: A comparison between formulas. J Strength Cond Res 37(10): 1969–1977, 2023—Muscle contraction velocity (V
c) assessed by tensiomyography is a promising measure for athlete profiling. Multiple formulas are used to estimate V
c, but the most suitable method is yet to be established. Fifteen adults (2 female subjects) underwent tensiomyography assessment of biceps brachii muscle at 10, 45 and 90° of elbow flexion on 2 separate days. V
c was calculated using 6 formulas. Formulas 1 and 2 are measures of the early phase of the twitch; Formulas 3–5 are measures over a wider time-window, with Formula 5 normalizing V
c to maximal displacement (Dm); and we proposed Formula 6 as a measure of peak V
c. Test-retest reliability, the required minimum number of trials, proportional bias, and effects of joint angle were investigated. Higher reliability (coefficient of variation: 2.8–6.9%) was found for Formula 1 (0–2 mm of displacement) and Formula 5 (normalized 10–90% of Dm). Overall, a minimum of 6–7 trials was required to obtain reliable estimates. For 10° only, significant positive proportional bias (r = 0.563–0.670) was found for all formulas except Formula 5. V
c was faster (p < 0.001) at shorter muscle lengths for all formulas except Formula 5 (p = 0.06). V
c in the early phase of the twitch was more reliable when calculated using absolute displacement (Formula 1) than a relative threshold (Formula 2). Over a larger time-window, Formulas 3 and 4 were similarly reliable. Because they are derived from different components of the twitch and different parameters, the different formulas should not be used interchangeably. Additionally, more precise nomenclature is required to describe the information obtained from each formula.
Contralateral Afferent Input to Lumbar Lamina I Neurons as a Neural Substrate for Mirror-Image Pain
Authors: Luz Liliana L. , Lima Susana , Fernandes Elisabete C. , Kokai Eva , Gomori Lidia , Szucs Peter , Safronov Boris V. 
Published: March 2023

Mirror-image pain arises from pathologic alterations in the nociceptive processing network that controls functional lateralization of the primary afferent input. Although a number of clinical syndromes related to dysfunction of the lumbar afferent system are associated with the mirror-image pain, its morphophysiological substrate and mechanism of induction remain poorly understood. Therefore, we usedex vivospinal cord preparation of young rats of both sexes to study organization and processing of the contralateral afferent input to the neurons in the major spinal nociceptive projection area Lamina I. We show that decussating primary afferent branches reach contralateral Lamina I, where 27% of neurons, including projection neurons, receive monosynaptic and/or polysynaptic excitatory drive from the contralateral Aδ-fibers and C-fibers. All these neurons also received ipsilateral input, implying their involvement in the bilateral information processing. Our data further show that the contralateral Aδ-fiber and C-fiber input is under diverse forms of inhibitory control. Attenuation of the afferent-driven presynaptic inhibition and/or disinhibition of the dorsal horn network increased the contralateral excitatory drive to Lamina I neurons and its ability to evoke action potentials. Furthermore, the contralateral Aβδ-fibers presynaptically control ipsilateral C-fiber input to Lamina I neurons. Thus, these results show that some lumbar Lamina I neurons are wired to the contralateral afferent system whose input, under normal conditions, is subject to inhibitory control. A pathologic disinhibition of the decussating pathways can open a gate controlling contralateral information flow to the nociceptive projection neurons and, thus, contribute to induction of hypersensitivity and mirror-image pain.SIGNIFICANCE STATEMENTWe show that contralateral Aδ-afferents and C-afferents supply lumbar Lamina I neurons. The contralateral input is under diverse forms of inhibitory control and itself controls the ipsilateral input. Disinhibition of decussating pathways increases nociceptive drive to Lamina I neurons and may cause induction of contralateral hypersensitivity and mirror-image pain.
Targeting WDxR motif reprograms immune microenvironment and inhibits hepatocellular carcinoma progression
Authors: Zhang Heng , Chen Gang , Feng Xing , Song Huiwen , Meng Lingbing , Fu Yao , Yang Jun , Fan Zhiwen , Ding Youxiang , Du Zhijie , Wang Jianchao , Yang Li , Zhang Jun , Sun Lixia , Liu Zhigang , Zhang Zhiyong , Li Quanhai , Fan Xiangshan 
Published: March 2023

AbstractThe WD‐repeat (WDR) family affects carcinogenesis, but its role in the immune microenvironment is poorly characterized. Although functional loss or gain of WDR6 does not markedly change in vitro proliferative and invasive capacity of HCC cells, its deficiency in hepa1‐6 cells drastically inhibits the growth and lung metastasis of orthotopically implanted tumors in immune‐competent C57BL/6J mice. Mechanistically, WDR6 targets tumor suppressor UVRAG to the CUL4A‐DDB1‐ROC1 E3 ubiquitin ligase complex through a unique WDxR motif and promotes its degradation. This upregulates chromatin accessibility at the TNFα locus by blocking autophagic degradation of p65, elevates intratumoral myeloid‐derived suppressor cell (MDSC) number, and reduces CD8+ T cell infiltration, thereby promoting HCC progression. These immunosuppressive effects are reversed by TNFα blockade. TNFα recruits NF‐κB to activate the transcription of WDR6, establishing a WDR6‐TNFα loop. Clinically, the WDR6/UVRAG/NF‐κB pathway is hyperactivated in HCC, predicting a poor prognosis. Importantly, a WDxR‐like peptide disrupts the WDR6/UVRAG complex and enhances the efficiency of anti‐PD‐L1 against HCC with WDR6 dysregulation.
Altered cerebral activities and functional connectivity in depression: a systematic review of fMRI studies
Authors: Li Xue‐Ying , Chen Xiao , Yan Chao‐Gan 
Published: March 2023

BackgroundAs one of the leading causes of global disability, major depressive disorder (MDD) places a noticeable burden on individuals and society. Despite the great expectation on finding accurate biomarkers and effective treatment targets of MDD, studies in applying functional magnetic resonance imaging (fMRI) are still faced with challenges, including the representational ambiguity, small sample size, low statistical power, relatively high false positive rates, etc. Thus, reviewing studies with solid methodology may help achieve a consensus on the pathology of MDD.MethodsIn this systematic review, we screened fMRI studies on MDD through strict criteria to focus on reliable studies with sufficient sample size, adequate control of head motion, and a proper multiple comparison control strategy.ResultsWe found consistent evidence regarding the dysfunction within and among the default mode network (DMN), the frontoparietal network (FPN), and other brain regions. However, controversy remains, probably due to the heterogeneity of participants and data processing strategies.ConclusionFuture studies are recommended to apply a comprehensive set of neuro‐behavioral measurements, consider the heterogeneity of MDD patients and other potentially confounding factors, apply surface‐based neuroscientific network fMRI approaches, and advance research transparency and open science by applying state‐of‐the‐art pipelines along with open data sharing.
Bioinformatics approaches to analyzing CRISPR screen data: from dropout screens to single‐cell CRISPR screens
Authors: Zhao Yueshan , Zhang Min , Yang Da 
Published: March 2023

BackgroundPooled CRISPR screen is a promising tool in drug targets or essential genes identification with the utilization of three different systems including CRISPR knockout (CRISPRko), CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa). Aside from continuous improvements in technology, more and more bioinformatics methods have been developed to analyze the data obtained by CRISPR screens which facilitate better understanding of physiological effects.ResultsHere, we provide an overview on the application of CRISPR screens and bioinformatics approaches to analyzing different types of CRISPR screen data. We also discuss mechanisms and underlying challenges for the analysis of dropout screens, sorting‐based screens and single‐cell screens.ConclusionDifferent analysis approaches should be chosen based on the design of screens. This review will help community to better design novel algorithms and provide suggestions for wet‐lab researchers to choose from different analysis methods.
DeepDrug: A general graph‐based deep learning framework for drug‐drug interactions and drug‐target interactions prediction
Authors: Yin Qijin , Fan Rui , Cao Xusheng , Liu Qiao , Jiang Rui , Zeng Wanwen 
Published: March 2023

Computational methods for DDIs and DTIs prediction are essential for accelerating the drug discovery process. We proposed a novel deep learning method DeepDrug, to tackle these two problems within a unified framework. DeepDrug is capable of extracting comprehensive features of both drug and target protein, thus demonstrating a superior prediction performance in a series of experiments. The downstream applications show that DeepDrug is useful in facilitating drug repositioning and discovering the potential drug against specific disease.BackgroundComputational approaches for accurate prediction of drug interactions, such as drug‐drug interactions (DDIs) and drug‐target interactions (DTIs), are highly demanded for biochemical researchers. Despite the fact that many methods have been proposed and developed to predict DDIs and DTIs respectively, their success is still limited due to a lack of systematic evaluation of the intrinsic properties embedded in the corresponding chemical structure.MethodsIn this paper, we develop DeepDrug, a deep learning framework for overcoming the above limitation by using residual graph convolutional networks (Res‐GCNs) and convolutional networks (CNNs) to learn the comprehensive structure‐ and sequence‐based representations of drugs and proteins.ResultsDeepDrug outperforms state‐of‐the‐art methods in a series of systematic experiments, including binary‐class DDIs, multi‐class/multi‐label DDIs, binary‐class DTIs classification and DTIs regression tasks. Furthermore, we visualize the structural features learned by DeepDrug Res‐GCN module, which displays compatible and accordant patterns in chemical properties and drug categories, providing additional evidence to support the strong predictive power of DeepDrug. Ultimately, we apply DeepDrug to perform drug repositioning on the whole DrugBank database to discover the potential drug candidates against SARS‐CoV‐2, where 7 out of 10 top‐ranked drugs are reported to be repurposed to potentially treat coronavirus disease 2019 (COVID‐19).ConclusionsTo sum up, we believe that DeepDrug is an efficient tool in accurate prediction of DDIs and DTIs and provides a promising insight in understanding the underlying mechanism of these biochemical relations.
Exploration on learning molecular docking with deep learning models
Authors: Xie Qin , Ma Wei , Zhang Jianhang , Li Shiliang , Deng Xiaobing , Xu Youjun , Zhang Weilin 
Published: March 2023

A deep learning‐powered VS approach combined with two free docking programs are proposed and evaluated for screening an ultra‐large compound library to obtain diverse potential active compounds rapidly and efficiently. We found that it is a practical and transferable strategy to significantly reduce computational cost.BackgroundMolecular docking‐based virtual screening (VS) aims to choose ligands with potential pharmacological activities from millions or even billions of molecules. This process could significantly cut down the number of compounds that need to be experimentally tested. However, during the docking calculation, many molecules have low affinity for a particular protein target, which waste a lot of computational resources.MethodsWe implemented a fast and practical molecular screening approach called DL‐DockVS (deep learning dock virtual screening) by using deep learning models (regression and classification models) to learn the outcomes of pipelined docking programs step‐by‐step.ResultsIn this study, we showed that this approach could successfully weed out compounds with poor docking scores while keeping compounds with potentially high docking scores against 10 DUD‐E protein targets. A self‐built dataset of about 1.9 million molecules was used to further verify DL‐DockVS, yielding good results in terms of recall rate, active compounds enrichment factor and runtime speed.ConclusionsWe comprehensively evaluate the practicality and effectiveness of DL‐DockVS against 10 protein targets. Due to the improvements of runtime and maintained success rate, it would be a useful and promising approach to screen ultra‐large compound libraries in the age of big data. It is also very convenient for researchers to make a well‐trained model of one specific target for predicting other chemical libraries and high docking‐score molecules without docking computation again.
Evaluation of the radiation shielding properties of ornamental rocks produced in Brazil: A Monte Carlo approach
Authors: Santos W. S. , Santos C. J. , Neves L. P. , Belinato W. , Soares M. R. , Valença J. V. B. , Perini A. P. 
Published: March 2023

In this work, the Monte Carlo MCNPX (2.7.0) code was used to evaluate the radioprotective properties of ten ornamental granitic samples produced in Brazil. For each sample of granite, the mass attenuation coefficient (µ/ρ) and half-value layer (HVL) were evaluated using the photon energy emitted by the following radioisotopes: 241Am (59,5 keV), 133Ba (356 keV), 137Cs (662 keV), 60Co (1250 keV), and 22Na (1274 keV). The MCNPX results showed agreement with the values obtained by using the XCOM database, as well as with theoretical and experimental results, available on the literature. The computational model built in this work can be used by the scientific community interested in parameters involving new materials for gamma radiation shielding, which has been used in different areas of the nuclear sciences.
REPORTE DE CASO: BACTERIEMIA POR EDWARDSIELLA TARDA EN UNA PACIENTE CON NEUROFIBROMATOSIS Y SARCOMA FUSOCELULAR DE ALTO GRADO
Authors: Restrepo Marín Juan David , Fernández Chica Dinno Alberto , Ospino Guzmán Jéssica Liliana , Sánchez Garcés Juan Pablo , Valiente Meléndez Ricardo Jesús 
Published: March 2023

La Edwardsiella tarda se ha asociado principalmente a infecciones gastrointestinales, cuando se entra en contacto o se consumen animales acuáticos mal cocidos, incluidos reptiles. Por lo que se ha considerado a E. tarda como un germen que comparte los patrones clínicos de la salmonelosis. Cuando se presenta en huéspedes con algún espectro de susceptibilidad debido a inmunosupresión hasta el 20% del compromiso se ha reportado extraintestinal incluyendo su presentación más severa en forma de bacteriemia. Presentamos un caso de infección por Edwardsiella tarda en una paciente con antecedente de neurofibromatosis y sarcoma fusocelular de alto grado, bajo tratamiento inmunosupresor, la cual debuto con sangrado genital y rápido deterioro del estado general. Se destaca el papel que presenta la rápida identificación bacteriana por parte del laboratorio clínico usando métodos moleculares y cultivos convencionales para disminuir la incertidumbre diagnóstica, lo que representó un papel crucial en el tratamiento antibiótico final de la paciente y la resolución del proceso infeccioso.
Palabras clave: Bacteriemia, Edwardsiella tarda, Choque Hipovolémico, Inmunosupresión. Fuente:DeCS.
The effectiveness parameters analysis for piers scour calculation
Authors: AL-Jubouri Muhanad , Ray Richard P. 
Published: March 2023

AbstractA computational fluid dynamics numerical model addressed the problem of local scouring and deposition calculation for non-cohesive sediment and clear water conditions near single and double cylindrical piers. The numerical results of single cylindrical piers correlate very well with the physical model's results while are higher than the case of the double pier, especially when the large-eddy turbulence model, the van Rijn bed-load transport equation, and fine mesh size are considered. Additionally, the final numerical predictions are compared to experimental data after parameters effectiveness explores the range of results based on projected user inputs like the bed-load equation, mesh cell size, and turbulence model.
CURRICULUM ACTS AND NETWORK EDUCATION IN THE COMMUNITY SERVICE AND STRENGTHENING OF BONDS
Authors: Ferreira Simone de Lucena , Nunes Everton de Almeida , Oliveira Bruna Santana de 
Published: March 2023

The sociocultural scenarios of the interactions of social actors are forged in the acts of curricula amid the experiences and experiences of the subjects causing ruptures that multi-referenize in the midst of pluralities. These performances show learning processes, presuppose transgressions of the elected formative knowledge and go beyond the walls of the school. This paper aims to present glances at the curricular scenes developed from two Social Assistance Reference Centers (CRAS) located in Aracaju-SE that serve children and adolescents from the Coexistence and Strengthening Service of Bonds (SCFV) using educational practices with digital mobile technologies. From a multi-referential perspective, it is perceived that the methodologies used in CRAS break with the logic of formal teaching, thus opening the possibility of charting a new path in the process of elucidating social phenomena in contemporaneity.

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PRESCRIÇÕES MÉDICAS PARA A VIDA SOCIAL DA MULHER: O CASAMENTO COMO MEDIDA HIGIÊNICA (SÉCULO XIX)
Authors: Alves Araújo de Alencar Juselice , Conceição Joaquim Tavares 
Published: March 2023

Este artigo discute prescrições médico-higiênicas para a vida diária de mulheres, tomando como fontes principais teses médicas defendidas na Faculdade de Medicina da Bahia, no século XIX, localizadas na Biblioteca Gonçalo Moniz, da Faculdade de Medicina da Bahia, em Salvador/BA. É recorrente nos assuntos abordados nas teses médicas analisadas o discurso em torno da educação feminina, com diversas temáticas que enfocam regras de higiene para o corpo e prescrições a respeito do comportamento a ser seguido pelas mulheres nos espaços doméstico e público. Dentre essas prescrições, os médicos apontavam o casamento como medida profilática para os males da saúde da mulher e indicavam a idade ideal para as meninas, jovens e mulheres se casarem. A medicina construiu um discurso sobre a educação feminina, considerando o casamento como uma medida preventiva/curativa para as mulheres a fim de evitar determinadas moléstias. Os discursos médico-higiênicos em torno de prescrições higiênicas para o casamento da mulher decorriam da influência da moral católica e do domínio do patriarcalismo e resultou em violência e dominação masculina, com repercussões negativas que podem ser evidenciados no tempo presente.