bluuebunny/crossref_metadata_2025 huggingface dataset:
Abstract P069: Semi-automated validation and quantification of CTLA-4 in 90 different Tumor entities using multiple antibodies and artificial intelligence
Authors: Dum David , Henke Tjark L. C. , Mandelkow Tim , Bady Elena , Raedler Jonas B. , Simon Ronald , Sauter Guido , Lennartz Maximilian , Wilczak Waldemar , Burandt Eike , Steurer Stefan , Blessin Niclas C.
Published: January 2022

Introduction: CTLA-4 is an inhibitory immune checkpoint receptor and a negative regulator of anti-tumor T-cell function. This study aimed at a comparative analysis of CTLA-4+ cells between different tumor entities.

Methods: To quantify CTLA-4+ cells, 4,582 tumor samples from 90 different tumor entities as well as 608 samples of 76 different normal tissue types were analyzed by immunohistochemistry in a tissue microarray format. Two different antibody clones (MSVA-152R and CAL49) were validated and quantified using a deep learning framework for automated exclusion of unspecific immunostaining.

Results: Comparing both CTLA-4 antibodies revealed a clone dependent cytoplasmic cross-reactivity in adrenal cortical adenoma (63%) for MSVA-152R and in pheochromocytoma (67%) as well as hepatocellular carcinoma (36%) for CAL49. After automated exclusion of non-specific staining reaction (3.6%), a strong correlation was observed for the densities of CTLA-4+ lymphocytes obtained by both antibodies (r=0.87; p<0.0001). The mean density of CTLA-4+ cells was 674±1482 cells/mm2 and ranged from 71±175 cells/mm2 in leiomyoma to 5916±3826 cells/mm2 in Hodgkin's lymphoma. Within epithelial tumors, the density of CTLA-4+ lymphocytes were higher in squamous cell (421±467 cells/mm2) and urothelial carcinomas (419±347 cells/mm2) than in adenocarcinomas (269±375 cells/mm2) and renal cell neoplasms (256±269 cells/mm2). A high CTLA-4+ cell density was linked to low pT category (p<0.0001), absent lymph node metastases (p=0.0354), and PD-L1 expression in tumor cells or inflammatory cells (p<0.0001 each). A high CTLA-4/CD3-ratio was linked to absent lymph node metastases (p=0.0295) and to PD-L1 positivity on immune cells (p<0.0026).

Conclusion: Marked differences exist in the number of CTLA-4+ lymphocytes between tumors. Analyzing two independent antibodies by a deep learning framework identifies clone-specific cross-reactivity and facilitates automated quantification of target proteins such as CTLA-4.

Citation Format: David Dum, Tjark L. C. Henke, Tim Mandelkow, Elena Bady, Jonas B. Raedler, Ronald Simon, Guido Sauter, Maximilian Lennartz, Waldemar Wilczak, Eike Burandt, Stefan Steurer, Niclas C. Blessin. Semi-automated validation and quantification of CTLA-4 in 90 different Tumor entities using multiple antibodies and artificial intelligence [abstract]. In: Abstracts: AACR Virtual Special Conference: Tumor Immunology and Immunotherapy; 2021 Oct 5-6. Philadelphia (PA): AACR; Cancer Immunol Res 2022;10(1 Suppl):Abstract nr P069.
Abstract PR06: Reprogramming of naïve B cells in pancreatic cancer subverts humoral immunity
Authors: Pylayeva-Gupta Yuliya , Mirlekar Bhalchandra
Published: January 2022

B cells frequently infiltrate human tumors, and the intra-tumoral abundance of plasma cells can correlate with improved patient prognosis. While substantial evidence documents the presence of both regulatory B cells (Breg) and effector B cells, there is a significant knowledge gap in our understanding of how pro- versus anti-tumor B cell responses are generated and whether such responses are interconnected and/or amenable to re-programming. We report the existence of a negative regulatory signaling network that reprograms naïve B cells in pancreatic cancer to antagonize anti-tumor plasma B cells. This network is driven by IL-35-mediated STAT3 activation, which directly stimulates upregulation of the pioneer transcription factors Pax5 and Bcl6 in naïve B cells and impedes plasma cell differentiation while simultaneously activating regulatory B cell phenotypes. Significantly, inhibition of Bcl6 reversed this tumor-associated reprogramming of naïve B cells, enabling intratumoral accumulation of plasma cells, and reduced tumor growth. Our data provide evidence that the balance between Breg and plasma cell is the key to tumor immunity. B cell dysfunction in cancer involves a potentially targetable suppression program that alters the differentiation potential of naïve B cells.

Citation Format: Yuliya Pylayeva-Gupta, Bhalchandra Mirlekar. Reprogramming of naïve B cells in pancreatic cancer subverts humoral immunity [abstract]. In: Abstracts: AACR Virtual Special Conference: Tumor Immunology and Immunotherapy; 2021 Oct 5-6. Philadelphia (PA): AACR; Cancer Immunol Res 2022;10(1 Suppl):Abstract nr PR06.
Abstract PR07: Quiescent cancer cells form immunotherapy resistant reservoirs by forming an immune suppressive niche
Authors: Agudo Judith
Published: January 2022

Immunotherapy is a promising treatment for Triple-Negative Breast Cancer (TNBC), but patients recur, arising the need to understand mechanisms of resistance. We discovered that in primary breast cancer, tumor cells that survive T-cell attack while still expressing the targeted antigen are in a quiescent state. Quiescent Cancer Cells (QCCs) are found clustering together forming intra-tumor cold regions with reduced immune infiltration. QCCs display superior tumorigenic capacity and higher expression of stemness genes than their proliferative counterparts. We adapted single-cell-RNA-sequencing with precise spatial resolution to profile infiltrating cells inside and outside the QCC niches. This transcriptomic analysis revealed hypoxia-induced programs and identified more exhausted T-cells, tumor-protective fibroblasts, and suppressive dendritic cells inside clusters of QCCs. This uncovered differential phenotypes in infiltrating cells based on their specific intra-tumor location and their proximity to functionally disntinct sub-populations of tumor cells. Thus, QCCs constitute immunotherapy-resistant reservoirs by orchestrating a local hypoxic immune-suppressive milieu that alters fibroblasts and dendritic cells leading to T cell dysfunction. Eliminating QCCs holds the promise to counteract resistance to immunotherapy and prevent disease recurrence in TNBC.

This abstract is also being presented as Poster P007.

Citation Format: Judith Agudo. Quiescent cancer cells form immunotherapy resistant reservoirs by forming an immune suppressive niche [abstract]. In: Abstracts: AACR Virtual Special Conference: Tumor Immunology and Immunotherapy; 2021 Oct 5-6. Philadelphia (PA): AACR; Cancer Immunol Res 2022;10(1 Suppl):Abstract nr PR07.
Preliminary analysis of eddy current and iron loss in magnetic gear in electric vehicle
Authors: Ab Halim Mohd Firdaus Mohd , Sulaiman Erwan , Jenal Mahyuzie , Othman Raja Nor Firdaus Kashfi Raja , Syed Othman Syed Muhammad Naufal
Published: January 2022

The inclusion of a high energy density permanent magnet into magnetic gear improves the machine's torque density. However, it also contributes to eddy current loss, especially in a high-speed application such in electric vehicle. In this paper, the losses from eddy current and iron loss are investigated on concentric magnetic gear (CMG). Torque multiplier CMG is designed with 8/3 gear ratio for this study. Iron loss and eddy current loss are compared and discussed. Based on this study, eddy current loss contributes to almost 96% of the total loss. This finding is hoped to direct the researcher to focus more on reducing loss associated with eddy current loss.
Identification study of solar cell/module using recent optimization techniques
Authors: El-Dabah Mahmoud Abbas , El-Sehiemy Ragab Abdelaziz , Ebrahim Mohamed Ahmed , Alaas Zuhair , Ramadan Mohamed Mostafa
Published: January 2022

This paper proposes the application of a novel metaphor-free population optimization based on the mathematics of the Runge Kutta method (RUN) for parameter extraction of a double-diode model of the unknown solar cell and photovoltaic (PV) module parameters. The RUN optimizer is employed to determine the seven unknown parameters of the two-diode model. Fitting the experimental data is the main objective of the extracted unknown parameters to develop a generic PV model. Consequently, the root means squared error (RMSE) between the measured and estimated data is considered as the primary objective function. The suggested objective function achieves the closeness degree between the estimated and experimental data. For getting the generic model, applications of the proposed RUN are carried out on two different commercial PV cells. To assess the proposed algorithm, a comprehensive comparison study is employed and compared with several well-matured optimization algorithms reported in the literature. Numerical simulations prove the high precision and fast response of the proposed RUN algorithm for solving multiple PV models. Added to that, the RUN can be considered as a good alternative optimization method for solving power systems optimization problems.
Sliding-mode controller for a step up-down battery charger with a single current sensor
Authors: Villegas Ceballos Juan Pablo , Ramos-Paja Carlos Andres , Henao-Bravo Elkin Edilberto
Published: January 2022

This paper proposes a battery charger solution based on the Zeta DC/DC converter to provide a general interface between batteries and microgrid direct current (DC) buses. This solution enables to interface batteries and DC buses with voltage conversion ratios lower, equal, and higher than one using the same components and without redesigning the control system, thus ensuring global stability. The converter controller is designed to require only the measurement of a single inductor current, instead of both inductors currents, without reducing the system flexibility and stability. The controller stability is demonstrated using the sliding-mode theory, and a design procedure for the parameters is developed to ensure a desired bus performance. Finally, simulations and experiments validate the performance of the proposed solution under realistic operation conditions.
Kalman filter applied to Thevenin’s modeling of a lead-acid battery
Authors: Palacio-Fernádez Jose Alfredo , Quintero Edwin García
Published: January 2022

This article determines the internal parameters of a battery analyzed from its circuit equivalent, reviewing important information that can help to identify the battery’s state of charge (SOC) and its state of health (SOH). Although models that allow the dynamics of different types of batteries to be identified have been developed, few have defined the lead-acid battery model from the analysis of a filtered signal by applying a Kalman filter, particularly taking into account the measurement of noise not just at signal output but also at its input (this is a novelty raised from the experimental). This study proposes a model for lead-acid batteries using tools such as MATLAB® and Simulink®. First, a method of filtering the input and output signal is presented, and then a method for identifying parameters from 29 charge states is used for a lead-acid battery. Different SOCs are related to different values of open circuit voltage (OCV). Ultimately, improvements in model estimation are shown using a filter that considers system and sensor noise since the modeled and filtered signal is closer to the original signal than the unfiltered modeled signal.
Design and implementation of Arduino based robotic arm
Authors: Ali Hussein Mohammed , Hashim Yasir , Al-Sakkal Ghadah Alaadden
Published: January 2022

This study presents the model, design, and construction of the Arduino based robotic arm, which functions across a distance as it is controlled through a mobile application. A six degree of freedom robotic arm has been designed and implemented for the purpose of this research. The design controlled by the Arduino platform receives orders from the user’s mobile application through wireless controlling signals, that is Bluetooth. The arm is made up of five rotary joints and an end effector, where rotary motion is provided by the servomotor. Each link has been first designed using solid works and then printed by 3D printer. The assembly of the parts of the robot and the motor’s mechanical shapes produce the final prototype of the arm. The Arduino has been programmed to provide rotation to each corresponding servo motor to the sliders in the designed mobile application for usage from distance.
An approach for cross-modality guided quality enhancement of liver image
Authors: Elaraby Ahmed , Taha Ayman
Published: January 2022

A novel approach for multimodal liver image contrast enhancement is put forward in this paper. The proposed approach utilizes magnetic resonance imaging (MRI) scan of liver as a guide to enhance the structures of computed tomography (CT) liver. The enhancement process consists of two phases: The first phase is the transformation of MRI and CT modalities to be in the same range. Then the histogram of CT liver is adjusted to match the histogram of MRI. In the second phase, an adaptive histogram equalization technique is presented by splitting the CT histogram into two sub-histograms and replacing their cumulative distribution functions with two smooths sigmoid. The subjective and objective assessments of experimental results indicated that the proposed approach yields better results. In addition, the image contrast is effectively enhanced as well as the mean brightness and details are well preserved.
Poincaré plots to analyze photoplethysmography signal between non-smokers and smokers
Authors: Haryadi Bagus , Chang Po-Hao , Akrom Akrom , Raharjo Arifan Q. , Prakoso Galih
Published: January 2022

An analysis of blood circulation was used to identify variations of heart rate and to create an early warning system of autonomic dysfunction. The Poincaré plot analyzed blood circulation using photoplethysmography (PPG) signals between non-smokers and smokers in three different indices: SD1, SD2, and SD1 SD2 ratio (SSR). There were twenty subjects separated into non-smoker and smoker groups with sample sizes of 10, respectively. An independent sample t-test to compare the continuous variables. Whereas, the comparison between two groups employed Fisher’s exact test for categorical variables. The result showed that SD1 was found to be considerably lower in the group of smokers (0.03±0.01) than that of the non-smokers (0.06±0.03). Similarly, SSR was recorded at 0.0012±0.0005 and 0.0023±0.0012 for smoking and non-smoking subjects, respectively. As a comparison, SD2 for non-smokers (25.7±0.5) was lower than smokers (27.3±0.4). In conclusion, we revealed that the parameters of Poincaré plots (SD1, SD2, and SSR) exert good performances to significantly differentiate the PPG signals of the group of non-smokers from those of smokers. We also supposed that the method promises to be a suitable method to distinguish the cardiovascular disease group. Therefore, this method can be applied as a part of early detection system of cardiovascular diseases.
Optimization of system’s parameters for wavelength conversion of E-band signals
Authors: Alkhlefat Yazan , Sutan Nameh Sevia Mahdaliza Idrus , Iqbal Farabi M.
Published: January 2022

Current and future wireless communication systems are designed to achieve the user’s demands such as high data rate and high speed with low latency and simultaneously to save bandwidth and spectrum. In 5G and 6G networks, a high speed of transmitting and switching is required for internet of things (IoT) applications with higher capacity. To achieve these requirements a semiconductor optical amplifier (SOA) is considered as a wavelength converter to transmit a signal with an orthogonal frequency division multiplexing with subcarrier power modulation (OFDM-SPM). It exploits the subcarrier’s power in conventional OFDM block in order to send additional bits beside the normally transmitted bits. In this paper, we optimized the SOA’s parameters to have efficient wavelength conversion process. These parameters are included the injection current (IC) of SOA, power of pump and probe signals. A 7 Gbps OFDM-SPM signal with a millimeter waves (MMW) carrier of 80 GHz is considered for signal switching. The simulation results investigated and analyzed the performance of the designed system in terms of error vector magnitude (EVM), bit error rate (BER) and optical signal-to-noise ratio (OSNR). The optimum value of IC is 0.6 A while probe power is 9.45 and 8.9 dBm for pump power. The simulation is executed by virtual photonic integrated (VPI) software.
On the applicability of numerical tools for simulating wave-ports close to the cutoff frequency
Authors: Eldesouki Eman Mohamed , Ibrahim Khalid Mustafa , Attiya Ahmed Mohmed
Published: January 2022

This paper focuses on a common drawback in electromagnetic numerical computer aided design computer aided design (CAD) tools: high frequency structure simulator (HFSS), computer simulation technology (CST) and FEKO, where the excitation by using a wave-port below and close to the cutoff frequency has unreliable values for the reflection coefficient. An example for such problem is presented in the design of a dual horn antenna fed by two different waveguide sections. To overcome this numerical error in the results of these CAD tools, a tapered waveguide section is used in the simulation as an excitation mechanism to the feeding waveguide. The cross section of the input port at this tapered waveguide section is designed to have a cutoff frequency smaller than the lowest frequency under investigation for the original problem. Then, by extracting the effect of the tapered section from the obtained reflection coefficient, it would be possible to obtain the reflection coefficient of the original problem.
Design and development of learning model for compression and processing of deoxyribonucleic acid genome sequence
Authors: Gudodagi Raveendra , Siva Reddy Rayapur Venkata , Ahmed Mohammed Riyaz
Published: January 2022

Owing to the substantial volume of human genome sequence data files (from 30-200 GB exposed) Genomic data compression has received considerable traction and storage costs are one of the major problems faced by genomics laboratories. This involves a modern technology of data compression that reduces not only the storage but also the reliability of the operation. There were few attempts to solve this problem independently of both hardware and software. A systematic analysis of associations between genes provides techniques for the recognition of operative connections among genes and their respective yields, as well as understandings into essential biological events that are most important for knowing health and disease phenotypes. This research proposes a reliable and efficient deep learning system for learning embedded projections to combine gene interactions and gene expression in prediction comparison of deep embeddings to strong baselines. In this paper we preform data processing operations and predict gene function, along with gene ontology reconstruction and predict the gene interaction. The three major steps of genomic data compression are extraction of data, storage of data, and retrieval of the data. Hence, we propose a deep learning based on computational optimization techniques which will be efficient in all the three stages of data compression.
Root cause analysis of COVID-19 cases by enhanced text mining process
Authors: Kokatnoor Sujatha Arun , Krishnan Balachandran
Published: January 2022

The main focus of this research is to find the reasons behind the fresh cases of COVID-19 from the public’s perception for data specific to India. The analysis is done using machine learning approaches and validating the inferences with medical professionals. The data processing and analysis is accomplished in three steps. First, the dimensionality of the vector space model (VSM) is reduced with improvised feature engineering (FE) process by using a weighted term frequency-inverse document frequency (TF-IDF) and forward scan trigrams (FST) followed by removal of weak features using feature hashing technique. In the second step, an enhanced K-means clustering algorithm is used for grouping, based on the public posts from Twitter®. In the last step, latent dirichlet allocation (LDA) is applied for discovering the trigram topics relevant to the reasons behind the increase of fresh COVID-19 cases. The enhanced K-means clustering improved Dunn index value by 18.11% when compared with the traditional K-means method. By incorporating improvised two-step FE process, LDA model improved by 14% in terms of coherence score and by 19% and 15% when compared with latent semantic analysis (LSA) and hierarchical dirichlet process (HDP) respectively thereby resulting in 14 root causes for spike in the disease.
Determining customer limits by data mining methods in credit allocation process
Authors: Ayhan Tuğçe , Uçar Tamer
Published: January 2022

The demand for credit is increasing constantly. Banks are looking for various methods of credit evaluation that provide the most accurate results in a shorter period in order to minimize their rising risks. This study focuses on various methods that enable the banks to increase their asset quality without market loss regarding the credit allocation process. These methods enable the automatic evaluation of loan applications in line with the sector practices, and enable determination of credit policies/strategies based on actual needs. Within the scope of this study, the relationship between the predetermined attributes and the credit limit outputs are analyzed by using a sample data set of consumer loans. Random forest (RF), sequential minimal optimization (SMO), PART, decision table (DT), J48, multilayer perceptron(MP), JRip, naïve Bayes (NB), one rule (OneR) and zero rule (ZeroR) algorithms were used in this process. As a result of this analysis, SMO, PART and random forest algorithms are the top three approaches for determining customer credit limits.
Efficient approximate analytical methods for nonlinear fuzzy boundary value problem
Authors: Jameel Ali Fareed , Saleh Hafed H , Azmi Amirah , Alomari Abedel-Karrem , Anakira Nidal Ratib , Man Noraziah Haji
Published: January 2022

This paper aims to solve the nonlinear two-point fuzzy boundary value problem (TPFBVP) using approximate analytical methods. Most fuzzy boundary value problems cannot be solved exactly or analytically. Even if the analytical solutions exist, they may be challenging to evaluate. Therefore, approximate analytical methods may be necessary to consider the solution. Hence, there is a need to formulate new, efficient, more accurate techniques. This is the focus of this study: two approximate analytical methods-homotopy perturbation method (HPM) and the variational iteration method (VIM) is proposed. Fuzzy set theory properties are presented to formulate these methods from crisp domain to fuzzy domain to find approximate solutions of nonlinear TPFBVP. The presented algorithms can express the solution as a convergent series form. A numerical comparison of the mean errors is made between the HPM and VIM. The results show that these methods are reliable and robust. However, the comparison reveals that VIM convergence is quicker and offers a swifter approach over HPM. Hence, VIM is considered a more efficient approach for nonlinear TPFBVPs.
Development and testing of braking and acceleration features for vehicle advanced driver assistance system
Authors: Marasigan Johann Carlo , Mayuga Gian Paolo , Magsino Elmer
Published: January 2022

Traffic congestion is a constant problem for cities worldwide. The human driving inefficiency and poor urban planning and development contribute to traffic buildup and travel discomfort. An example of human inefficiency is the phantom traffic jam, which is caused by unnecessary braking, causing traffic to slow down, and eventually coming to a stop. In this study, a brake and acceleration feature (BAF) for the advanced driver assistance system (ADAS) is proposed to mitigate the effects of the phantom traffic phenomenon. In its initial stage, the BAF provides a heads-up display that gives information on how much braking and acceleration input is needed to maintain smooth driving conditions, i.e., without sudden acceleration or deceleration, while observing a safe distance from the vehicle in front. BAF employs a fuzzy logic controller that takes distance information from a light detection and ranging (LIDAR) sensor and the vehicle’s instantaneous speed from the engine control unit (ECU). It then calculates the corresponding percentage value of needed acceleration and braking in order to maintain travel objectives of smooth and safe-distance travel. Empirical results show that the system suggests acceleration and braking values slightly higher than the driver’s actual inputs and can achieve 90% accuracy overall.
An Efficent Coverage and Maximization of Network Lifetime in WSN Through Metaheuristics
Authors: Rao A. Nageswar , Naik B. Rajendra , Devi L. Nirmala
Published: January 2022

In wireless sensor networks (WSNs), energy, connectivity, and coverage are the three most important constraints for guaranteed data forwarding from every sensor node to the base station. Due to continuous sensing and transmission tasks, the sensor nodes deplete more quickly and hence they seek the help of data forwarding nodes, called relay nodes. However, for a given set of sensor nodes, finding optimal locations to place relay nodes is a very challenging problem. Moreover, from the earlier studies, the relay node placement is defined as a non-deterministic polynomial tree hard (NP-Hard) problem. To solve this problem, we propose a multi-objective firefly algorithm-based relay node placement (MOFF-RNP) to deploy an optimal number of relay nodes while considering connectivity, coverage, and energy constraints. To achieve network lifetime, this work adopted energy harvesting capabilities to the sensor nodes and backup relay strategy such that every sensor node is always connected to at least one relay to forward the data. The optimal relay placement is formulated as an objective function and MOFF is applied to achieve a better solution. Extensive Simulations are carried out over the proposed model to validate the performance and the obtained results are compared with state-of-art methods)
Knowledge and Utilization of Health Informatics among Medical Doctors in Ahmadu Bello University Teaching Hospital, Shika-Zaria
Authors: Dahiru Jamila Mohammed
Published: January 2022

The strategic visions in the health care system now underpin application of Information Communication Technology for effective care delivery. Recognising the potentials of ICT for Health, the Nigerian government as part of its policy derive towards achieving effective health care delivery by the year 2020, adopted use of ICT for effective healthcare delivery. Part of the target was establishment of ICT/Health informatics units in teaching hospitals in the country. This study assessed level of knowledge and utilization of health informatics among medical doctors in Ahmadu Bello University, Shika-Zaria. Premised on the Unified Theory of Acceptance and Use of Technology, this study adopted descriptive survey method and structured questionnaire as its instrument of data collection. Findings revealed that 91.4% (n=201) of the 220 sampled medical doctors in ABUTH are aware of health informatics and that 68.2% (n=150) have knowledge of how to use it. The most prominent areas of health informatics among the medical doctors are ‘Management Information System’, ‘Electronic Health Record System’ and ‘Electronic Medical Record’. However, only 58.6% (n=129) of the medical doctors in BUTH Shika- Zaria are actually utilizing health informatics. Internet (n=133, 60.5%) and interpersonal sources (n= 71, 32.3%) were found to be the major sources of information of knowledge and utilization of health informatics among the medical doctors. The study therefore recommends that ABUTH, Shika-Zaria should put in place more mechanism for creating awareness on use of health informatics varieties and a strong need for time-series research to examine future development in respect to knowledge and utilization of health informatics in Nigerian health institutions.
Electronic health record to predict a heart attack used data mining with Naïve Bayes method
Authors: Andry Johanes Fernandes , Silaen Fabio Mangatas , Tannady Hendy , Saputra Kevin Hadi
Published: January 2022

A heart attack is a medical emergency. A heart attack usually occurs when a blood clot blocks the flow of blood to the heart. Cardiovascular disease is a variety of diseases that attack the body's cardiovascular system including the heart and blood vessels. Cardiovascular diseases (CVD) include angina, arrhythmia, heart attack, heart failure, atherosclerosis, stroke, and so on. To resolving (CVD) is to evaluate large scores of datasets, to compare for any information that can be used to forecast, to take care of organize. The method used Naïve Bayes classification because that method can determine target which can be used to answer some questions like whether the patient has the potential for heart disease. After data analyst, authors can use data to electronic health records (EHR).
De Maurice Halbwachs à Filosofia da Mente: repensando a memória a partir de abordagens externalistas
Authors: Cordeiro Veridiana Domingos
Published: January 2022

O artigo reconstrói as principais contribuições de Maurice Halbwachs como uma abordagem externalista da memória, explorando também suas vertentes interpretativas derivadas de suas imprecisões conceituais. Isso para, paralelamente, reconstituir as principais ideias e vertentes que evoluíram a partir da “hipótese da mente estendida”, uma abordagem externalista que surgiu contemporaneamente na Filosofia da Mente. Essas duas  reconstruções visam a colocar em diálogo explicações externalistas sobre a memória,  reconhecendo suas similitudes e potenciais mútuas contribuições. Ao reconstruir as vertentes das abordagens externalistas da mente, demonstraremos como se preocuparam com muitos aspectos que já estavam postos na obra de Halbwachs e como esse autor  clássico pode e deve ser revisitado para os novos desenvolvimentos dessa abordagem. Ao  final, comentamos sobre rumos empíricos e sobre questões ausentes (como a questão do  sentido) tanto na obra de Halbwachs, quanto nas abordagens externalistas da mente.
Revisitando a noção de autoritarismo socialmente implantado: entrevista com Paulo Sérgio Pinheiro
Authors: Alvarez Marcos César , Benetti Pedro Rolo , Higa Gustavo Lucas , Novello Roberta Heleno , Funari Gabriel
Published: January 2022

Entrevista com Paulo Sérgio Pinheiro
A busca por legitimação na cultura homeopática
Authors: Bicudo Lenin
Published: January 2022

Este artigo se baseia em uma pesquisa documental sistemática dos principais periódicos de homeopatia em circulação no Brasil entre 2002 a 2015. Embora estejamos em condições de saber que os preparados homeopáticos não passam de placebos, a doutrina homeopática goza de um grau considerável de reconhecimento social e institucional no Brasil. Neste artigo, descrevo e analiso as principais estratégias de legitimação usadas por homeopatas para resguardar a doutrina de críticas da comunidade científica. Identifico e discuto duas estratégias antagônicas, que refletem um conflito interno à cultura homeopática: a abordagem cientificista e a culturalista, esta última de especial interesse, por envolver a instrumentalização dos referenciais teóricos das ciências humanas.
Legitimidades, conhecimento e dominação política
Authors: Almeida Bruna Gisi Martins de , Adorno Sérgio
Published: January 2022

O texto apresenta o dossiê “Legitimação e legitimidades”, que teve como objetivo contribuir para os debates contemporâneos sobre legitimidade e para a reflexão sobre os problemas  teórico-metodológicos e empíricos que permanecem em debate no estudo desse tema. A partir de um panorama das principais formulações sociológicas da questão da legitimidade, discutem-se os textos que compõem o dossiê, organizados a partir de dois temas principais: (i) a legitimidade do conhecimento científico e acadêmico na contemporaneidade; e (ii) as relações entre legitimidade, dominação e obediência.
Dissolução da adoção: (des)encontros entre maternidade e filiação
Authors: Rossato Jussara Glória , Oliveira Eduarda Lima de , Ramires Vera Regina Röhnelt , Falcke Denise
Published: January 2022

A adoção é um processo complexo, que nem sempre terá um desfecho bem sucedido. A partir de um estudo de caso, objetivou-se compreender as experiências de uma mulher, mãe por adoção de cinco filhos, que vivenciou a dissolução da adoção. A filha mais velha solicitou o retorno para a instituição de acolhimento, após sete anos de convivência com a família adotiva. Os dados foram obtidos pela construção do genograma e entrevista semiestruturada com a mãe. Na visão da participante, a dificuldade na constituição de vínculos afetivos entre mãe e filha levou à dissolução da adoção, associada ao não acesso ao acompanhamento profissional no período pós-adoção. Discute-se a questão da irrevogabilidade da adoção, a aplicabilidade dos termos devolução e duplo abandono e a importância da rede de apoio.
A potência da Educação Infantil e do pequeno semelhante para a não fixação de sinais de risco de autismo nas crianças
Authors: Rosa Dorisnei Jornada da , Ferrari Andrea Gabriela , Arrosi Kellen Evaldt
Published: January 2022

O presente artigo faz parte de um projeto de pesquisa-intervenção realizado em Escolas de Educação Infantil, utilizando a Metodologia IRDI. Em uma das escolas participantes da pesquisa foram percebidos sinais de risco de autismo em três bebês acompanhados. Neste escrito objetiva-se refletir sobre a importância do coletivo educacional, da interação entre os colegas e da intermediação das educadoras para identificar e desarmar condições que poderiam estar entravando o processo constitutivo dos bebês com sinais de risco de autismo. No acompanhamento realizado, evidenciou-se a função do pequeno semelhante (colega) como importante e potencializadora da constituição psíquica e do desenvolvimento da aprendizagem dos bebês que se encontravam com sinais de risco de autismo.
Psicose infantil e desejo materno a partir da topologia do nó borromeano
Authors: Belfi Lara Batista , Lucero Ariana
Published: January 2022

Neste artigo, investigaremos o quadro clínico da psicose infantil a partir da proposta de Marie Christine Laznik de abordar as psicopatologias da infância através da topologia do nó borromeano. No caso da psicose infantil, os impasses da formação do sujeito são correspondentes às falhas nos movimentos 2, 3 e 6 da trança, que dariam ao nó borromeano sua consistência em três elos representantes das instâncias Real, Simbólica e Imaginária. Tendo em vista que as movimentações constituintes concernem às interações do Outro primordial – encarnado pelo agente materno – com o sujeito em formação, serão destacadas as questões colocadas à criança que se encaminha para uma possível psicose e a especificidade de sua posição diante do Outro.
A produção do conhecimento e a constituição de sujeitos: diálogos com os diferentes Vygotsky, Bakhtin e Freire
Authors: Neves Joana d'Arc Vasconcelos , Oliveira Gislene da Silva , Bastos Sandra Nazaré Dias
Published: January 2022

Este artigo traça uma discussão sobre a produção do conhecimento e a constituição dos sujeitos, a partir da visão interacionista e das concepções teóricas de Vygotsky, Bakhtin e Freire. Na perspectiva dos autores, a produção do conhecimento ocorre nas relações entre sujeitos em processos dialógicos. Por meio da justaposição e da convergência de ideias, este artigo estabelece um diálogo entre suas reflexões, enfatizando os processos de constituição de sujeitos (sujeito, linguagem, interações) e a produção do conhecimento como processo dialógico (sujeitos cognoscentes). Dentre os resultados, destaca-se o “diálogo-ponte”, que entrelaça a visão dos autores nas categorias de inacabamento do sujeito, dialogismo e diálogos com o diferente, vistas como formas de transformações do sujeito, da sociedade e do conhecimento produzido.
“Lentamente a sombra da divindade ganha substância”: Tradução dos poemas de Tenzin Dickie
Authors: Carbonieri Divanize
Published: January 2022

O objetivo deste trabalho é discorrer sobre o processo de tradução dos poemas “Will and Testament for Aarya Tara” e “Yuthok Lane” de Tenzin Dickie, poeta oriunda do Tibete. Alguns pressupostos guiaram a tarefa: o equacionamento de aspectos fonológicos e semânticos, sem deslocamentos expressivos no campo da significância, e a tradução cultural como negociação entre valores culturais.
caminho do meio para loucos: tradução indireta de nove poemas de Gendun Chopel
Authors: Lorenzetti Neto Hugo
Published: January 2022

Esta tradução anotada de uma seleção representativa de poemas de Gendun Chopel, monge-andarilho do Tibete e também seu primeiro exilado social, contextualiza a poesia na trajetória incomum dessa vida no início do século XX. Argumento que Chopel era um tibetano progressista, cuja ars poetica, na fronteira entre tradição e modernidade, superando o treinamento clássico em literatura budista, é um contraponto à imagem utópica e irreal do Tibete no mundo ocidental.
“O sentimento de traição” na poesia de Kalsang Yangzom
Authors: Teixeira Virna
Published: January 2022

Este artigo apresenta a tradução de dois poemas da jovem acadêmica e poeta tibetana Kalsang Yangzom, filha de exilados na Índia. Os poemas expressam um forte sentimento de desesperança pela geração de tibetanos nascidos no exílio, bem como as complexas memórias da pátria ancestral no Tibete.
“Sssuu Sssuu Suut Suut Suutr” e outras meditações poéticas de Chögyam Trungpa Rinpoche
Authors: Flores Guilherme Gontijo
Published: January 2022

O presente artigo apresenta traduções poéticas de três poemas anglófonos do poeta Chögyam Trungpa Rinpoche (1939-1987) em sua confluência entre o experimento sonoro de “Sutra” (“Sutra”) e o lamento religioso afetivo de “Expose” (“Expor”). As traduções são acompanhadas de algumas notas, bem como de uma breve apresentação de Chögyam Trungpa, que nasceu no Tibete independente em 1939 e faleceu no exílio em 1987.
tela de palavras: Tradução dos poemas de Tenzing Rigdol
Authors: Furlanetto Elton Luiz Aliandro
Published: January 2022

O texto a seguir tem por objetivo apresentar a tradução feita por mim de dois poemas do poeta e artista plástico tibetano Tenzing Rigdol. Primeiramente, apresento alguns pressupostos da tradução de poesia, para justificar meu processo de trabalho tradutório. Depois, apresento brevemente o poeta, e cada um de seus poemas, com comentários sobre os elementos poéticos e as principais dificuldades encontradas. Termino com um breve comentário da importância da tradução de poesia tibetana no contexto atual brasileiro.
Oral Antihypertensives for Nonsevere Pregnancy Hypertension: Systematic Review, Network Meta- and Trial Sequential Analyses
Authors: Bone Jeffrey N. , Sandhu Akshdeep , Abalos Edgardo D. , Khalil Asma , Singer Joel , Prasad Sarina , Omar Shazmeen , Vidler Marianne , von Dadelszen Peter , Magee Laura A.
Published: January 2022

Background:

We aimed to address which antihypertensives are superior to placebo/no therapy or another antihypertensive for controlling nonsevere pregnancy hypertension and provide future sample size estimates for definitive evidence.

Methods:

Randomized trials of antihypertensives for nonsevere pregnancy hypertension were identified from online electronic databases, to February 28, 2021 (registration URL:
https://www.crd.york.ac.uk/PROSPERO/
; unique identifier: CRD42020188725). Our outcomes were severe hypertension, proteinuria/preeclampsia, fetal/newborn death, small-for-gestational age infants, preterm birth, and admission to neonatal care. A Bayesian random-effects model generated estimates of direct and indirect treatment comparisons. Trial sequential analysis informed future trials needed.

Results:

Of 1246 publications identified, 72 trials were included; 61 (6923 women) were informative. All commonly prescribed antihypertensives (labetalol, other β-blockers, methyldopa, calcium channel blockers, and mixed/multi-drug therapy) versus placebo/no therapy reduced the risk of severe hypertension by 30% to 70%. Labetalol decreased proteinuria/preeclampsia (odds ratio, 0.73 [95% credible interval, 0.54–0.99]) and fetal/newborn death (odds ratio, 0.54 [0.30–0.98]) compared with placebo/no therapy, and proteinuria/preeclampsia compared with methyldopa (odds ratio, 0.66 [0.44–0.99]) and calcium channel blockers (odds ratio, 0.63 [0.41–0.96]). No other differences were identified, but credible intervals were wide. Trial sequential analysis indicated that 2500 to 10 000 women/arm (severe hypertension or safety outcomes) to >15 000/arm (fetal/newborn death) would be required to provide definitive evidence.

Conclusions:

In summary, all commonly prescribed antihypertensives in pregnancy reduce the risk of severe hypertension, but labetalol may also decrease proteinuria/preeclampsia and fetal/newborn death. Evidence is lacking for many other safety outcomes. Prohibitive sample sizes are required for definitive evidence. Real-world data are needed to individualize care.
Emergence of a Nocturnal Low-Level Jet from a Broad Baroclinic Zone
Authors: Shapiro Alan , Gebauer Joshua G. , Parsons David B.
Published: January 2022

An analytical model is presented for the generation of a Blackadar-like nocturnal low-level jet in a broad baroclinic zone. The flow is forced from below (flat ground) by a surface buoyancy gradient and from above (free atmosphere) by a constant pressure gradient force. Diurnally varying mixing coefficients are specified to increase abruptly at sunrise and decrease abruptly at sunset. With attention restricted to a surface buoyancy that varies linearly with a horizontal coordinate, the Boussinesq-approximated equations of motion, thermal energy, and mass conservation reduce to a system of one-dimensional equations that can be solved analytically. Sensitivity tests with southerly jets suggest that (i) stronger jets are associated with larger decreases of the eddy viscosity at sunset (as in Blackadar theory); (ii) the nighttime surface buoyancy gradient has little impact on jet strength; and (iii) for pure baroclinic forcing (no free-atmosphere geostrophic wind), the nighttime eddy diffusivity has little impact on jet strength, but the daytime eddy diffusivity is very important and has a larger impact than the daytime eddy viscosity. The model was applied to a jet that developed in fair weather conditions over the Great Plains from southern Texas to northern South Dakota on 1 May 2020. The ECMWF Reanalysis v5 (ERA5) for the afternoon prior to jet formation showed that a broad north–south-oriented baroclinic zone covered much of the region. The peak model-predicted winds were in good agreement with ERA5 winds and lidar data from the Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) central facility in north-central Oklahoma.
Large-Eddy Simulations of Convection Initiation over Heterogeneous, Low Terrain
Authors: Kirshbaum Daniel J.
Published: January 2022

Large-eddy simulations are conducted to investigate and physically interpret the impacts of heterogeneous, low terrain on deep-convection initiation (CI). The simulations are based on a case of shallow-to-deep convective transition over the Amazon River basin, and use idealized terrains with varying levels of ruggedness. The terrain is designed by specifying its power-spectral shape in wavenumber space, inverting to physical space assuming random phases for all wave modes, and scaling the terrain to have a peak height of 200 m. For the case in question, these modest terrain fields expedite CI by up to 2–3 h, largely due to the impacts of the terrain on the size of, and subcloud support for, incipient cumuli. Terrain-induced circulations enhance subcloud kinetic energy on the mesoscale, which is realized as wider and longer-lived subcloud circulations. When the updraft branches of these circulations breach the level of free convection, they initiate wider and more persistent cumuli that subsequently undergo less entrainment-induced cloud dilution and detrainment-induced mass loss. As a result, the clouds become more vigorous and penetrate deeper into the troposphere. Larger-scale terrains are more effective than smaller-scale terrains in promoting CI because they induce larger enhancements in both the width and the persistence of subcloud updrafts.
Causes of the Arctic’s Lower-Tropospheric Warming Structure
Authors: Kaufman Zachary S. , Feldl Nicole
Published: January 2022

Arctic amplification has been attributed predominantly to a positive lapse rate feedback in winter, when boundary layer temperature inversions focus warming near the surface. Predicting high-latitude climate change effectively thus requires identifying the local and remote physical processes that set the Arctic’s vertical warming structure. In this study, we analyze output from the CESM Large Ensemble’s twenty-first-century climate change projection to diagnose the relative influence of two Arctic heating sources, local sea ice loss and remote changes in atmospheric heat transport. Causal effects are quantified with a statistical inference method, allowing us to assess the energetic pathways mediating the Arctic temperature response and the role of internal variability across the ensemble. We find that a step-increase in latent heat flux convergence causes Arctic lower-tropospheric warming in all seasons, while additionally reducing net longwave cooling at the surface. However, these effects only lead to small and short-lived changes in boundary layer inversion strength. By contrast, a step-decrease in sea ice extent in the melt season causes, in fall and winter, surface-amplified warming and weakened boundary layer temperature inversions. Sea ice loss also enhances surface turbulent heat fluxes and cloud-driven condensational heating, which mediate the atmospheric temperature response. While the aggregate effect of many moist transport events and seasons of sea ice loss will be different than the response to hypothetical perturbations, our results nonetheless highlight the mechanisms that alter the Arctic temperature inversion in response to CO2forcing. As sea ice declines, the atmosphere’s boundary layer temperature structure is weakened, static stability decreases, and a thermodynamic coupling emerges between the Arctic surface and the overlying troposphere.
Interbasin Interactions between the Pacific and Atlantic Oceans Depending on the Phase of Pacific Decadal Oscillation and Atlantic Multidecadal Oscillation
Authors: Hong Jin-Sil , Yeh Sang-Wook , Yang Young-Min
Published: January 2022

The authors investigated the interbasin interactions between the Pacific and Atlantic Oceans depending on the phase relationship of Pacific decadal oscillation (PDO)/Atlantic multidecadal oscillation (AMO) based on observations and idealized model experiments. When the AMO and the PDO are in phase (i.e., +PDO/+AMO or −PDO/−AMO), the Pacific Ocean regulates the SST anomalies in the equatorial Atlantic Ocean with altering of the Walker circulation. During this period, there is a negative SST–precipitation relationship in the equatorial Atlantic Ocean where the atmosphere forces the ocean. In contrast, when they are out of phase (i.e., either +PDO/−AMO or −PDO/+AMO), the Atlantic Ocean influences the equatorial Pacific Ocean by modifying the Walker circulation, resulting in a westward shift of a center of convective forcing in the equatorial Pacific Ocean compared to that during an in-phase relationship of PDO/AMO. During this period, a positive SST–precipitation relationship is dominant in the equatorial Atlantic Ocean where the ocean forces the atmosphere. To verify this result, we conducted pacemaker experiments using the Nanjing University of Information Science and Technology Earth System Model version 3 (NESM3). Model results supported our findings obtained from the observations. We infer that the characteristics of the Pacific–Atlantic interbasin interactions depend on whether the PDO and AMO phases are either in phase or out of phase.