bluuebunny/crossref_metadata_2025_split huggingface dataset:
Síndrome clínico aislado en esclerosis múltiple: informe de caso
Authors: Pisquiy-Quemé Ana , García-Bautista Victor 
Published: December 2022

La esclerosis múltiple (EM) es la enfermedad desmielinizante inflamatoria, mediada por el sistema inmunitario, más común del sistema nervioso central. Se presenta un caso de esclerosis múltiple en paciente de 25 años de edad, que consultó por pérdida de la visión del ojo izquierdo acompañada de hemiparesia derecha, que se desarrolló de forma aguda, con una duración de más de 24 horas, en ausencia de fiebre o infección. En resonancia magnética cerebral se evidenciaron lesiones hiperintensas que sugirieron evento desmielinizante inflamatorio multifocal. Bandas oligoclonales en suero y líquido cefalorraquídeo positivas. Luego del tratamiento con corticoesteroides, la paciente presentó mejoría clínica.
Asociación entre cesárea y la frecuencia de asma, rinitis alérgica y dermatitis atópica
Authors: Barrón-Balderas Alejandro , González-Mendoza Tania , Pérez-Molina Jesús , Cruz-Revilla Rubén , Del-Río-Hidalgo Rodrigo , Pérez-Robles Mariana , Pérez-Robles Diana , Godínez-Aguiar María , González- Mendoza Diana , Pérez-Robles Armando , Solano-González Karla 
Published: December 2022

Antecedentes: la prevalencia de asma, rinitis alérgica (RA) y dermatitis atópica (DA), han incrementado notoriamente y llevado a considerar asociaciones como la vía de nacimiento. Objetivo: determinar la asociación de la frecuencia de asma, RA y DA en niños de 6 a 12 años que asistieron a consulta del Hospital Civil de Guadalajara “Dr. Juan I. Menchaca”. Material y métodos: estudio de casos y controles, con carácter censal no probabilístico. Se utilizó el cuestionario estandarizado y validado del grupo The Internacional Study of Asthma and Allergies in Childhood. Resultados: fueron incluidos 414 sujetos, 52.8% nacidos vía cesárea y 47.2% vía parto. No se encontró asociación entre la vía de nacimiento y la frecuencia de asma, RA y DA. El nacimiento por cesárea estuvo asociado significativamente con RA en hombres (OR: 2.81, IC 95%: 1.189-1.280, p=0.043). La ausencia de lactancia y el humo de tabaco fueron asociados a asma (OR:1.549, IC 95%: 1.086-1.255, p=0.042 y OR: 2.339, IC 95%: 1.243-4.401, p=0.007). Conclusiones: no existe asociación entre la vía de nacimiento y la frecuencia de asma, RA o DA. Hubo asociación con la cesárea y la frecuencia de RA en hombres a su vez, la lactancia y el tabaco fueron asociados a asma
Miocardiopatía restrictiva por amiloidosis cardiaca: informe de caso
Authors: Gómez José , Tereta Romeo , Herrera Lubeck , Gutiérrez Rodolfo 
Published: December 2022

La amiloidosis cardíaca es un trastorno causado por el depósito de fibrillas de amiloide en el espacio extracelular de miocardio, se presenta con insuficiencia cardíaca con función sistólica conservada y progresa a una fisiología restrictiva típica, síncopes, fibrilación auricular o muerte súbita. La ecocardiografía es la prueba de imagen cardíaca de primera línea. La infiltración de las paredes ventriculares produce una apariencia de hipertrofia con ventrículos no dilatados o pequeños. Para el diagnóstico se emplean la identificación de proteína monoclonal y biopsia de tejido con infiltración de amiloide. La mayoría de pacientes progresa a insuficiencia cardíaca terminal
Paciente femenina de 12 años con fiebre luego de viaje a Petén, Guatemala
Authors: Galdámez-Díaz Sergio , Gebhardt-Quan Christian 
Published: December 2022

Plasmodium vivax es el parásito causante de malaria con la mayor distribución mundial, se calcula que 2.5 billones de personas se encuentran en riesgo de contraer la infección, y se estima que hay de 80 a 300 millones de casos al año. Guatemala no es la excepción, hasta la 33 semana del 2020 se reportaron 504 casos de malaria, siendo Escuintla, Alta Verapaz y Petén los 3 departamentos con mayor prevalencia. Presentamos un caso de Paludismo en paciente que viajó a Petén, en el norte de Guatemala, dos semanas antes del inicio de los síntomas.
Crup en dos pacientes pediátricos con COVID-19
Authors: Salguero-Lobos Dulce , Orozco-Vizquerra Ana 
Published: December 2022

La patogenia de la coexistencia de Croup y Covid-19 es aún desconocida. No existen datos ni suficientes casos para correlacionar dichas patologías. En el Hospital Roosevelt, Guatemala, de Enero a Marzo 2022, se atendieron 2 pacientes pediátricos Covid-19 positivos que presentaron signos clínicos y radiológicos de Crup. Presentamos estos casos con el fin de agregar información al tema.
Graph Based Deep Learning for Spatial Reuse Optimization in Dense WLAN Deployments
Authors: Azeez Stephen , Henna Shagufta 
Published: December 2022

<p>The IEEE 802.11ax standard is designed to provide high-efficiency WLAN operating in dense deployment, with a focus on increasing robustness and uplink transmission. IEEE 802.11ax aims to deliver self-configuration and self-adaptation capabilities for interference management techniques in dense deployments, to improve overall network conditions. The IEEE 802.11ax medium strives to intelligently use network allocation vectors (NAV), which block simultaneous transmission of neighboring co-existing access points from transmitting for a set period of time. Given an acceptable collision probability, this collision avoidance strategy tends to degrade network throughput and increase transmission delays since the medium is never completely exploited. In this paper, we propose affinityGNN, a graph neural network approach to actively optimize network co-existence transmission in a dense scenario. We introduce direct-affinityGNN which considers direct communications between IEEE802.11ax-compliant wireless systems and in contrast, skip-affinityGNN, which considers communication between IEEE802.11ax and Legacy devises by aggregating neural messages from direct and skip (two-hop) communicating neighbors in the dense wireless network deployment. Extensive experimental results not only show the superior performance of our proposed model over the state-of-the-art, but also demonstrate its potentially good interpretability and robustness for wireless network structure.</p>
Computational Processes for General Intelligence
Authors: Balakrishnan Prabhakar 
Published: December 2022

<p>The ‘brain-mind-intelligence’ structure may be considered analogous to a ‘computer-operating system (OS)-application’ construct. Software development would be far more difficult without the benefit of abstractions like file and memory handles, and graphical user interfaces, implemented in operating systems. The easy access to application-level semantics, provided by the infrastructure of the OS, simplifies application development. Abstractions can play a similar role in producing intelligent systems. The power of abstractions may be determined by their ability to unify the treatment of several types of higher concepts. Unifying various concepts in the domain of intelligence, such as problems, solutions, objects, and emotions, through abstractions will be of immense value. This paper shows how ‘higher-level perceptions’ could be used to serve this objective and construct an OS-like infrastructure. With the infrastructure in place, ordinary software objects developed and deployed using standard methods, become accessible using the semantics provided by the infrastructure. Now, after brief training exercises, the objects would be available for intelligent use. The focus, therefore, is on the design of the infrastructure that could play a mind-like role in humans.</p>
<p>The design results in a new, non-symbolic, non-connectionist, transmutable method of representation, essential for intelligence. The infrastructure enables the conversion of sensory inputs to transmutable representations amenable to semantic modifications, to flexibly determine actions to perform on software objects developed externally. Therefore, the OS-like infrastructure serves to bridge the rudimentary semantics of connectionist outputs to the semantics at the symbolic level. Thus, the new model plays a critical role in building intelligent systems that overcome major problems in learning and action selection, including brittleness, associated with the narrow semantics of purely symbolic and connectionist designs. </p>
<p>The new model is then evaluated in terms of features, against criteria set forth independently by Newell, Sun, Vernon, and others. In addition, a new measure of intelligence introduced in this paper is used to quantitatively compare the proposed model with some others developed over the years. </p>
Secure Ultra Fast Authentication Protocol for Electric Vehicle Charging
Authors: Mookherji Srijanee , Odelu Vanga , Prasath Rajendra 
Published: December 2022

<p>In recent years, Electric Vehicles (EVs) are becoming popular due to their positive effects on the environment. The EVs receive charging service from the power grids, and also act as a charge reservoir to provide services to power grids as and when required. In this communication, the users' credentials, like identity and credit/debit card details, may be exchanged while providing and receiving services. Since the users' credentials are very sensitive, we need to protect the communications against any Probabilistic Polynomial Time (PPT) adversary. Therefore, authentication plays a vital role in protecting such sensitive information. In this paper, we analyse the recently proposed authentication protocol by Wang \textit{et} al. (2022) for EV charging. It has been observed that, this protocol is vulnerable to the \emph{Man-In-the-Middle-Attack} against any PPT-adversary under the Dolev-Yao threat model. Thus, Wang \textit{et} al.'s protocol is not suitable for industrial applications. We then propose an enhanced authentication protocol that provide security against all well-known attacks under the widely accepted CK-adversary model. We present a thorough security analysis using the Real-Or-Random (ROR) model to prove the security of the proposed protocol. We also compare our protocol with the existing related protocols to demonstrate the efficiency. The results show that the proposed protocol is efficient and provides high security, and therefore, it is more suitable for industrial applications. </p>
Estimation of the effective irradiance and bifacial gain for PV arrays using the maximum power current
Authors: Abe Caio Felippe , Dias João Batista , Notton Gilles , Faggianelli Ghjuvan Antone , Pigelet Guillaume , Ouvrard David 
Published: December 2022

<p>Manuscript Version 2, including corrections as per IEEE reviewers' comments. </p>
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<p>Abstract: Bifacial photovoltaic modules are able to convert the solar radiation reaching their front and rear-sides, which means that more electricity can be produced using the same array area as monofacial modules with similar ratings. In some locations, the cost per power unit for such a technology has already become cost-competitive with conventional monofacial modules. The so-called effective irradiance and the bifacial gain are useful metrics, respectively, to assess the solar resource and the performance of bifacial arrays. To calculate the effective irradiance, studies previously published employ rear-side irradiance measurements, whereas to compute the bifacial gain, other works make use of monofacial modules with rating similar to those of the bifacial modules under analysis. In this paper, a straightforward method is presented, allowing to calculate the effective irradiance from the maximum power current, and to calculate the bifacial gain using a power scaling relation. The proposed method was experimentally tested using an outdoor platform with a dual-axis tracking system with bifacial modules. The effective irradiance calculated using the novel method presented nRMSE of 2.88 %, relative to the results obtained using the consolidated method. The bifacial gains obtained were 6.24 % and 6.69 %, respectively, using the proposed and traditional calculation methods. The procedure presented in this study might be useful for the quantification of the effective irradiance and the bifacial gain for PV installations which do not have extensive monitoring hardware. </p>
Active Differential Reflection Coefficient of Differentially-Fed Antenna Array
Authors: Xu Guanghui 
Published: December 2022

<p>In this communication, a definition for the active differential reflection coefficient of the differentially-fed antenna array is proposed. The each antenna is fed by two ports which input the equal-amplitude anti-phase signals. According to the active reflection coefficient of the conventional single-ended antenna array, the active differential reflection coefficient definition of the differential antenna array is given and analyzed. To verify the active differential reflection coefficient definition, the differential three-element microstrip patch antenna array is designed, fabricated and measured. The active differential reflection coefficient definition will give a port match design guidance for the differential antenna array. </p>
Multimode Multiline TRL Calibration of Vector Network Analyzers
Authors: Buesa-Zubiria Ana , Esteban Jaime 
Published: December 2022

<p>A novel vector network analyzer multimode multiline thru-reflect-line calibration is presented. </p>
<p>It has the advantage over previous calibrations that it is accurate for all measured modes, and more important, accuracy can be increased by simply adding more transmission medium sections to the calibration standards set. </p>
<p>The calibration is based on considering each of the k measurements of k transmission media lengths as part of a tensor that takes into account N modes.</p>
<p>The measurement of a WR-90 band-pass filter in multimode operation, from 20.5 GHz to 23.5 GHz, has been carried out by implementing a multimode multiline calibration kit. Measurements show excellent agreement with theory.</p>
Plant-Cyber Tradeoffs in Frame-Based Cyber-Physical Systems
Authors: Krishna C. 
Published: December 2022

<p>A tradeoff between the Quality of Control of a controlled plant and the thermal stress suffered by the controlling cyber platform is modeled under conditions allowing a small fraction of control update overruns. </p>
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<p>This paper has been submitted for possible publication to an IEEE journal.</p>
Public Trace-and-Revoke Proxy Re-encryption
Authors: Luo Fucai 
Published: December 2022

<p>Proxy re-encryption (PRE), as a promising cryptographic primitive for secure data sharing in cloud, has been widely studied for decades. PRE allows the proxies to use the re-encryption keys to convert ciphertexts computed under the delegator’s public key into ones that can be decrypted using the delegatees’ secret keys, without knowing anything about the underlying plaintext. This delegable property of decryption rights gives rise to an important issue: if some proxies reveal their re-encryption keys, or collude with some delegatees to create a pirate decoder, then anyone who gains access to the pirate decoder can decrypt all ciphertexts computed under the delegator’s public key without the delegator’s permission. Several works have provided potential solutions to this issue by designing tracing mechanisms on PRE, where proxies that reveal their re-encryption keys can be identifified by the delegator. However, these solutions perform poorly in terms of the sizes of the public, the secret and the re-encryption keys, and support neither multi-hop nor public traceability. </p>
<p>This paper advances the research of tracing mechanisms on PRE and proposes the fifirst public trace-and-revoke PRE system, where the malicious delegatees involved in the generation of a pirate decoder can be identifified by anyone who gains access to the pirate decoder, and their decryption capabilities can subsequently be revoked by the content distributor. Our construction is multi-hop, supports user revocation and public (black-box) traceability, and achieves signifificant effificiency advantages over previous constructions. Our construction is a generic transformation from inner-product functional PRE (IPFPRE) that we introduce to trace-and-revoke PRE. In addition, we instantiate our generic construction of trace-and-revoke PRE from the Learning with Errors (LWE) assumption, which was widely believed to be quantum-resistant. This is achieved by proposing the fifirst LWE-based IPFPRE scheme, which may be of independent interest.</p>
AI-based Dynamic web server for real-time classification of raw genome sequences of ESKAPEE pathogens
Authors: Mishra Sarthak , Sharma Priyanka , Jabin Suraiya , Ahmad Sumaiya , Srivastava Divanshu , Tiwari Krishna Mohan , Khan Arzoo , Singh Pulkit , Kaur Punit , Singh Harpreet 
Published: December 2022

<p>It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India.</p>
<p>"<strong>Dynamic Web Server for ESKAPEE Pathogen classification</strong>" is the deployment of a robust machine learning model which accepts raw clinical sequences i.e. SRA data in the fast/fq format, and classifies it into 8 classes of <u><em>Enterococcus</em></u> <u><em>faecium</em></u>, <u><em>Staphylococcus</em></u> <u><em>aureus</em></u>, <u><em>Klebsiella</em></u> <u><em>pneumoniae</em></u>, <u><em>Acinetobacter</em></u> <u><em>baumannii</em></u>, <u><em>Pseudomonas</em></u> <u><em>aeruginosa</em></u>, <u><em>Enterobacter</em></u> species, <u><em>E. col</em></u>i (i.e. ESKAPEE) and non-ESKAPEE that consists of Human DNA, Fungi, and bacteria other than ESKAPEE. </p>
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Crash vs Byzantine fault tolerance at scale: the cost of distributing trust in a (trans)national invoicing system
Authors: Eklund Peter 
Published: December 2022

<p>This paper examines the feasibility of blockchain solutions for national and transnational business-to-business and business-to-government (B2B/B2G) compliance frameworks, namely a trust-less, de-centralised, self-regulating distributed ledger. In particular, the paper examines whether blockchain platforms scale to support national and transnational e-business trading. </p>
The Reference Impedance in 2x-thru Calibration, and its Estimation for High Conductor-loss Transmission Lines
Authors: Chou Chiu-Chih 
Published: December 2022

<p>The 2x-thru calibration has emerged as an attractive alternative to the classical TRL for S parameter measurement of printed circuit board and packaging devices, due to its simplicity that only one THRU standard suffices to fully characterize the test fixtures, thus eliminating the LINE measurement in TRL and also overcoming the bandwidth limit. Although various 2x-thru calibration tools are available nowadays, there are still some issues that have not been studied in detail. This paper addresses the following two fundamental questions: (i) what is the reference impedance (Zref) of the S parameters after 2x-thru calibration? (ii) what is the time-domain reflectometry (TDR) response of the THRU for high conductor-loss transmission lines, and how to estimate Zref given such TDR? For problem (i), we rigorously show that the Zref is equal to the characteristic impedance of the center transmission line in the THRU standard, and provide the important interpretation for the S parameters in terms of the traveling-wave and pseudowave concepts. For problem (ii), we show that the TDR impedance is a monotonically increasing function instead of constant, and we propose a new method to estimate the characteristic impedance by fitting the TDR with a causal impedance model. Simulation and measurement examples are provided to validate the proposed theory and techniques. In the last example, we also compare five commercial/open-source 2x-thru calibration tools; the results reveal that with the proposed method of impedance estimation, better accuracy can be achieved. </p>
On the Fourier Representations and Schwartz Distributions
Authors: Singh Pushpendra , Singhal Amit , Fatimah Binish , Gupta Anubha , Joshi Shiv Dutt 
Published: December 2022

<p>Fourier theory is one of the most important tools used ubiquitously for understanding the spectral content of a signal, extracting and interpreting information from signals, and transmitting, processing, and analyzing the signals and systems. Undergraduate engineering students are exposed to these concepts, usually in their second year, to build their foundation in the areas of signal processing and communication engineering. However, the popular signal processing literature \cite{book1,book2,book3,book4} does not offer a clear explanation regarding the convergence or the existence of Fourier representations for certain well-known signals. Because of this subtle gap, it becomes hard for young students to assimilate the Fourier theory with clarity, and they are forced to be familiar with some of these concepts without understanding them. To bring clarity to the existence and the convergence of Fourier representation, including Fourier series and transform, lecture notes were published recently in IEEE Signal Processing Magazine's September 2022 issue \cite{PSDCs}. This lecture note is in the continuation with technical details added from yet another mathematical topic of distribution theory that connects delta Dirac functions with the Fourier theory. </p>
<p>The distribution theory by Schwartz in 1945 is one of the great revolutions in mathematical function analysis. It is considered as a completion of differential calculus, similar to how the revolutionary measure theory or Lebesgue integration theory proposed in 1903, is considered as a completion of integral calculus. Both these theories unlocked new paradigms of mathematical development. </p>
<p>Although distribution theory is a powerful tool for understanding Fourier theory, it is ignored in engineering textbooks. In this lecture note, we utilize the concepts of this theory to show how some signals that fail to exhibit FT in the conventional sense can have FT in the distributional sense.</p>
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Generative Adversarial Networks as an Accommodative Memory for Cognitive Waveform Synthesis
Authors: Esmaeili Najafabadi Hamid , Leung Henry , Moo Peter W. 
Published: December 2022

<p>	This paper presents a practical example where generative adversarial networks (GANs) can be employed as an accommodative memory unit (AMU). An array of such units can memorize/learn any algorithm's results. This kind of memory can accommodate their response to new unseen scenarios by traversing the GAN's latent space and finding the best answer. Accordingly, accommodative memory (AM) can be viewed as a generalization of look-up tables (LUT), in which writing and reading operations are equivalent to training and inference of an AMU or traversing its latent space.</p>
<p>	We explore cognitive radar waveform synthesis to showcase a practical application of the proposed AM concept. In this regard, a Wasserstein GAN (WGAN) is trained as an AMU for a particular ambiguity function (AF) shaping scenario. </p>
<p>	Here, retrieving information for the most frequent scenarios, called input basis scenarios (IBSs), involves only the inference of the generator. For more complicated input scenarios, the memory accommodates the input by traversing the latent space using ADAM optimization. Compared to redesigning the AF, the AM can remember or accommodate new scenarios several orders of magnitude faster at the expense of more memory hardware.</p>
<p>	As an auxiliary result, we also demonstrate that traditional algorithms can be defeated in terms of suppression level by penalizing the loss function according to desired AF.</p>