bluuebunny/crossref_metadata_2025 huggingface dataset:
Traffic Flow Prediction Based on Multi-Spatiotemporal Attention Gated Graph Convolution Network
Authors: Ge Yun , Zhai Jian F. , Su Pei C.
Published: September 2022

Accurate prediction of traffic flow plays an important role in ensuring public traffic safety and solving traffic congestion. Because graph convolutional neural network (GCN) can perform effective feature calculation for unstructured data, doing research based on GCN model has become the main way for traffic flow prediction research. However, most of the existing research methods solving this problem are based on combining the graph convolutional neural network and recurrent neural network for traffic prediction. Such research routines have high computational cost and few attentions on impaction of different time and nodes. In order to improve the accuracy of traffic flow prediction, a gated attention graph convolution model based on multiple spatiotemporal channels was proposed in this paper. This model takes multiple time period data as input and extracts the features of each channel by superimposing multiple gated temporal and spatial attention modules. The final feature vector is obtained by means of weighted linear superposition. Experimental results on two sets of data show that the proposed method has good performance in precision and interpretability.
Early Fetal Growth Restriction of Both Twins in a Transgender Man
Authors: Martínez-Varea Alicia , Martínez-Sáez Clara , Tarrazó-Millet María Patrocinio , Diago-Almela Vicente
Published: September 2022

Gender dysphoria affects 0.5% of people worldwide. Transgender men display a divergence between the female genetic sex and the gender male identity. To the best of our knowledge, we describe the first case report with regard to a transgender man with a dichorionic diamniotic twin pregnancy obtained by artificial insemination using donor sperm as a monoparental family, presenting early fetal growth restriction of both twins. The patient is a 35-year-old transgender man who had previously received gender-affirming hormone therapy based on testosterone for five years and had a prior bilateral mastectomy as gender-affirming surgery. Whether assisted reproductive techniques have any influence on obstetrical outcomes among these patients and whether prior long-term intake of gender-affirming hormone therapy has an impact on pregnancy and obstetrical outcomes remain to be elucidated.
Research on Detection of Sterol Doping in Sports by Electrochemical Sensors: A Review
Authors: Sun Yunyan
Published: September 2022

The use of doping by athletes to improve performance is prohibited. Therefore, doping testing is an important step to ensure fairness in sports. Doping is gradually metabolized in the body and is therefore difficult to detect immediately by a common method. At the same time, the emergence of new doping agents poses a challenge for highly sensitive detection. Electrochemical sensors are a fast, highly sensitive, and inexpensive analytical detection technology. It provides qualitative and quantitative determination of analytes by altering the electrochemical signal of the analyte or probe at the electrode. In this min-review, we summarized the different electrochemical sensing strategies for sterol doping detection. Some of the representative papers were interpreted in detail. In addition, we compare different sensing strategies.
Synthesis and Characterization of Fe3O4-Bentonite Nanocomposite Adsorbent for Cr(VI) Removal from Water Solution
Authors: Adisu Ngusey , Balakrishnan Subramanian , Tibebe Haimanot
Published: September 2022

Bentonite-magnetite nanocomposite adsorbent (BMNC) was made and investigated for its adsorption removal of Cr(VI) from an aqueous solution. This adsorbent was prepared by the coprecipitation method from sodium bentonite (BNa) with iron chloride solution at controlled pH and under an inert atmosphere. These adsorbents were characterized by atomic absorption spectrophotometer (AAS), Brunauer–Emmett–Teller (BET), dynamic light scattering (DLS), scanning electron microscope (SEM), Fourier transform infrared (FTIR) spectroscopy, and X-ray diffraction (XRD) analyses. Particle size of BMNC was in the range of 15 to 95 nm as per DLS. The intercalation of magnetite nanoparticles onto the bentonite clay increased its specific surface area from 142 to 177 m2/g as per BET analysis. Experimental design optimization results in 96.5% of Cr(VI) removal from the water solution at optimized adsorption parameters viz., adsorption time of 101 min, pH of 1.95, adsorbent dose of 1.12 g/L, and initial Cr(VI) concentration of 36.2 mg/L. The results of these studies demonstrate that the BMNC performs well. Moreover, the adsorption of Cr(VI) onto the BMNC was found to be the best fit with Langmuir isotherm (R2 = 0.9984) and a maximum adsorption capacity of 98 mg/g. The kinetics of the adsorption process was found to be a pseudo-second-order model (R2 = 0.9912). The BMNC also showed favourable reusability for adsorbate Cr(VI) ions removal from the water solution.
Very Short‐Term Blackout Prediction for Grid‐Tied PV Systems Operating in Low Reliability Weak Electric Grids of Developing Countries
Authors: Mbuya Benson H. , Dimovski Aleksandar , Merlo Marco , Kivevele Thomas
Published: September 2022

Sub‐Saharan emerging countries experience electrical shortages resulting in power rationing, which ends up hampering economic activities. This paper proposes an approach for very short‐term blackout forecast in grid‐tied PV systems operating in low reliability weak electric grids of emerging countries. A pilot project was implemented in Arusha‐Tanzania; it mainly comprised of a PV‐inverter and a lead‐acid battery bank connected to the local electricity utility company, Tanzania Electric Supply Company Limited (TANESCO). A very short‐term power outage prediction model framework based on a hybrid random forest (RF) algorithm was developed using open‐source Python machine learning libraries and using a dataset generated from the pilot project’s experimental microgrid. Input data sampled at a 15‐minute interval included day of the month, weekday, hour, supply voltage, utility line frequency, and previous days’ blackout profiles. The model was composed of an adaptive similar day (ASD) module that predicts 15 minutes ahead from a sliding window lookup table spanning 2 weeks prior to the prediction target day, after which ASD prediction was fused with RF prediction, giving a final optimised RF‐ASD blackout prediction model. Furthermore, the efficacy analysis of the short‐term blackout prediction of the formulated RF, ASD, and RF‐ASD regression and classification algorithms was compared. Considering the stochastic nature of blackouts, their performance was found to be fair in short‐term blackout predictions of the test site’s weak grid using limited input data from the point of coupling of the user. The models developed were only able to predict blackouts if they occurred frequently and contiguously, but they performed poorly if they were sparse or dispersed.
Neonatal and Maternal Risk Factors for Indirect Hyperbilirubinemia: A Cross-Sectional Study from Bahrain
Authors: Isa Hasan M. , AlBuainain Noor Y. , Bunajem Fatema Y. , Masood Abdulrahman S. , Bucheery Yusuf A.
Published: September 2022

Background and Objectives. Jaundice is a common cause of hospital admission in infants presenting within the first month of life. This study is aimed at determining neonatal and maternal risk factors of indirect hyperbilirubinemia, at comparing neonates with risk factors and those without, and at assessing the type of management according to hyperbilirubinemia severity. Material and Methods. In this retrospective cross-sectional study, medical records of neonates with indirect hyperbilirubinemia who were admitted to the Pediatric Department, Salmaniya Medical Complex, Bahrain, between January 2020 and December 2020 were reviewed. Neonatal demographic data, antenatal history, birth weight, feeding type, maternal and neonatal laboratory evaluations, management, and length of hospital stay were collected and compared. Results. Out of 555 records, 404 neonates were included. Among those, 209 (51%) were males and 275 (68.1%) were Bahraini. The median indirect bilirubin level at presentation was 218 (interquartile range, 174-270) μmol/L. ABO incompatibility was the commonest risk factor for neonatal indirect hyperbilirubinemia (

n
=
152

, 37.6%) followed by glucose-6-phosphate dehydrogenase (G6PD) deficiency (

n
=
130

/400, 32.5%). Age (>25 years) was the commonest maternal risk factor (

n
=
331

, 81.9%) followed by cesarean delivery (

n
=
137

, 33.9%). Neonates with ABO incompatibility had a significantly higher mean indirect bilirubin level compared to those with other risk factors (

234.9
±
68.5

versus

225
±
82.2

 mmol/L, respectively) (

P
=
0.04

). Phototherapy use significantly increased along with the rise of bilirubin level (

P
<
0.0001

). Intravenous immunoglobulins (IVIG) and exchange transfusion were used in 44 (10.9%) and 14 (3.5%) patients, respectively. Neonates who received IVIG had significantly higher bilirubin levels than those who did not (

P
=
0.005

). Male newborns (

P
=
0.008

), Bahrainis (

P
=
0.001

), those with reticulocytosis (

P
=
0.001

), and those who received IVIG (

P
=
0.001

) were more prone to have associated risk factors. Conclusion. ABO incompatibility, G6PD deficiency, and older maternal age were the commonest neonatal and maternal risk factors for developing neonatal indirect hyperbilirubinemia. Bahraini, male newborns, reticulocytosis, and IVIG use were associated with these factors. Early detection of such factors through screening can aid in immediate management to prevent serious complications of this common condition.
Design of Enterprise Financial Information Fusion Sharing System Based on Blockchain Technology
Authors: Xue Xiang
Published: September 2022

In the process of global economic integration, the rapid development of various industries not only brings various opportunities but also presents new challenges to enterprises. With the continuous expansion of enterprise scale, more and more enterprises join the trend of international competition, and the internal system of enterprise group organization is complex, resulting in the weakening of the management and control ability of the enterprise itself and the decline of operating efficiency. In order to improve this situation, the fusion and sharing of financial information has become a necessary development strategy to optimize management, strengthen internal control systems, and improve business performance in the era of big data. Technology promotes the development of productivity, and with the continuous maturity of computer technology, blockchain technology comes into being. Blockchain technology is of great significance in promoting industrial transformation and technological innovation. The development of the new era should strengthen the basic research of blockchain and regard blockchain as an important breakthrough for independent innovation of core technologies. This work first analyzes the necessity and feasibility of applying blockchain technology to the enterprise financial information fusion and sharing system. Then, it specifically describes how the blockchain technology is applied to the enterprise financial information fusion and sharing system, and improves the enterprise financial information fusion and sharing system through the blockchain technology. This forms an enterprise financial information fusion and sharing system between companies, which improves the limitations and disadvantages of the current financial sharing platform. Finally, using the AHP to analyze and compare the indicators of the traditional financial sharing model and the financial information fusion sharing model under the blockchain technology, it is concluded that the blockchain technology brings positive changes to the enterprise financial information fusion sharing model.
The Effect of Oleoylethanolamide (OEA) Add-On Treatment on Inflammatory, Oxidative Stress, Lipid, and Biochemical Parameters in the Acute Ischemic Stroke Patients: Randomized Double-Blind Placebo-Controlled Study
Authors: Sabahi Mohammadmahdi , Ahmadi Sara Ami , Kazemi Azin , Mehrpooya Maryam , Khazaei Mojtaba , Ranjbar Akram , Mowla Ashkan
Published: September 2022

Background and Objective. There is a growing body of evidence for the efficacy of oleoylethanolamide (OEA) in patients with inflammatory disorders. The present randomized double-blind placebo-controlled study is aimed at evaluating the efficacy of OEA add-on treatment in patients with acute ischemic stroke (AIS). Methods. Sixty patients with a mean age of

68.60
±
2.10

comprising 29 females (48.33%), who were admitted to an academic tertiary care facility within the first 12 hours poststroke symptoms onset or last known well (LKW), in case symptom onset time is not clear, were included in this study. AIS was confirmed based on a noncontrast head CT scan and also neurological symptoms. Patients were randomly and blindly assigned to OEA of 300 mg/day (

n
=
20

) or 600 mg/day (

n
=
20

) or placebo (

n
=
20

) in addition to the standard AIS treatment for three days. A blood sample was drawn at 12 hours from symptoms onset or LKW as the baseline followed by the second blood sample at 72 hours post symptoms onset or LKW. Blood samples were assessed for inflammatory and biochemical parameters, oxidative stress (OS) biomarkers, and lipid profile. Results. Compared to the baseline, there is a significant reduction in the urea, creatinine, triglyceride, high-density lipoprotein, cholesterol, alanine transaminase, total antioxidant capacity, malondialdehyde (MDA), total thiol groups (TTG), interleukin-6 (IL-6), and C-reactive protein levels on the follow-up blood testing in the OEA (300 mg/day) group. In patients receiving OEA (600 mg/day) treatment, there was only a significant reduction in the MDA level comparing baseline with follow-up blood testing. Also, the between-group analysis revealed a statistically significant difference between patients receiving OEA (300 mg/day) and placebo in terms of IL-6 and TTG level reduction when comparing them between baseline and follow-up blood testing. Conclusion. OEA in moderate dosage, 300 mg/day, add-on to the standard stroke treatment improves short-term inflammatory, OS, lipid, and biochemical parameters in patients with AIS. This effect might lead to a better long-term neurological prognosis.
Comorbid Neurodegeneration in Primary Progressive Aphasia: Clinicopathological Correlations in a Single-Center Study
Authors: Rusina Robert , Bajtosova Radoslava , Cséfalvay Zsolt , Keller Jiri , Kavkova Anna , Kukal Jaromír , Matej Radoslav
Published: September 2022

Introduction. Primary progressive aphasia (PPA) is a clinically variable syndrome manifesting as slow progressive loss of speech and language with multiple underlying neurodegenerative pathologies. Materials and Methods. We included data from nine PPA patients with available autopsies. We then retrospectively reviewed all available medical records, neuropsychology, and MRI results to confirm the corresponding subtypes of PPA and compared them with postmortem neuropathological results. Results. Clinical presentations corresponded to the nonfluent/agrammatic variant in six cases, the semantic variant in one case, the logopenic variant in one case, and the mixed variant (concomitant nonfluent/agrammatic plus semantic variant) in one case. Patients with a broader clinical presentation, i.e., combining manifestations of one PPA subtype and symptoms of another PPA variant, had autopsy comorbidities showing multiple neurodegenerative disorders. Of the nine subjects enrolled in the study, Alzheimer’s disease (AD) was found in eight cases; however, in only one case, AD was detected as an isolated neuropathological substrate of PPA. In eight brain samples, different comorbid neuropathologies were detected: three cases with comorbid AD and dementia with Lewy bodies, two cases with comorbid AD and TDP-43 pathology, one case with comorbid AD and complex tauopathies, and one case with comorbid AD with both tau and TDP-43 deposits. Finally, one case had comorbid tau and TDP-43 pathology but without comorbid AD pathology. Conclusions. Our observation suggests that PPA cases could be more heterogeneous in their etiology than previously thought and underlying neurodegenerative comorbidities should be considered in routine practice, especially if the clinical presentation of PPA is atypical.
Implementation of Remote-Sensing Data Processing Platform Based on Computable Storage
Authors: Qiu Zeyu , Liu Jiahong , Yang Xu , Zha Renpeng , Li Zhen , Bai Xishan
Published: September 2022

Previous researches on accelerating remote sensing data processing are based on traditional von Neumann architecture, which separates storage and computation. Under the architecture, data must be obtained from the storage device first and then transmitted to Field Programmable Gate Array (FPGA) through the system bus. The power consumption caused by the data handling is huge, even exceeding the energy consumption required for data processing. In order to reduce the migration of remote sensing data and alleviate the problems of storage wall and power wall under von Neumann architecture, we design a remote sensing data processing platform based on the system architecture of computable storage, which uses Solid-State Disk (SSD) with computing capability to process the remote sensing data and realize accelerated remote sensing data processing. Based on this platform, applications related to remote sensing data processing such as compression, target detection, and image classification are deployed in SSD to improve the information acquisition rate in remote sensing data. Experimental results show that after compression being offloaded to SSD computing performance is improved by 2.27 times compared with the host CPU. Compared with the host GPU, the target detection speed is improved by 6.25% and the power consumption is reduced by 66.7%. Compared with the host, the detection speed of remote sensing image classification is improved by 78.8%, the power consumption is reduced by 70%, achieving the expected classification effect. The Remote Sensing data Processing Platform based on Computable Storage (CSRSPP) distributes various computing tasks to the SSD for execution, which not only improves the processing speed of computing tasks, but also greatly reduces the power consumption of the platform.
Optimization of University Archives Management under the Application of Blockchain Technology in the Digital Age
Authors: Li Huiming , Yin Jiesen
Published: September 2022

The centralized database can store a variety of electronic archives. Electronic archives face a variety of network attack vulnerabilities as information technology and network technology continue to advance. Furthermore, these archives will be readily forged and tampered with by internal management or external attackers. Data security and authenticity problems prevail in China’s management system for archives. First, this exploration elaborates the blockchain technology, distributed database technology, and distributed database system structure. Secondly, blockchain technology is applied to the authenticity protection of electronic archives. Then, an optimization model of university archives based on blockchain technology is constructed. Finally, this exploration investigates the current use of blockchain technology for college archive management systems. The questionnaire is used to understand the current university personnel’s views on the college archive management system under the application of blockchain. The survey results suggest that most people support the digital college archive management system. At present, the operation efficiency of the college archive management system still needs to be improved, and the quality of archives search should be promoted. Therefore, the college archive management system still needs to optimize the archive’s efficiency as well as quality. According to the above survey results, this investigation gives suggestions for optimizing the college archive management system using blockchain technology, as well as some suggestions and references for further management.
Exploring Transit Use during COVID-19 Based on XGB and SHAP Using Smart Card Data
Authors: Lee Eun Hak
Published: September 2022

As the coronavirus (COVID-19) pandemic continues, many protective measures have been taken in Seoul, Korea, and around the world. This situation has drastically changed lifestyle and travel behavior. An important issue concerns understanding the reasons for giving up transit use and the potential impact on travel patterns during the COVID-19 pandemic. To shed light on these issues that are essential for transit policy, this study explores transit use choice, such as whether users have given-up transit use or not, during the COVID-19 pandemic. Two days of smart card data, before and during the COVID-19 pandemic, were used to look at users who gave up transit use during the COVID-19 pandemic. The choice set of the dataset includes two alternatives, for example, transit use and given-up transit use. An extreme gradient boosting (XGB) model was used to estimate the transit use behavior. Shapley additive explanations were performed to interpret the estimation results of the XGB model. The results for the overall specificity, sensitivity, and balanced accuracy of the proposed XGB model were estimated to be 0.909, 0.953, and 0.931, respectively. The feature analysis based on the Shapley value shows that the number of origin-to-destination trip feature substantially impacts transit use. As such, users tend to avoid transit use as travel time increased during the COVID-19 pandemic. The proposed model shows remarkable performance in accuracy and provided an understanding of the estimated results.
An Effective Approach to Promote Air Traveler Repurchasing Using the Random Forest Algorithm: Predictive Model Design and Utility Evaluation
Authors: Zhang Zhenyuan , Chen Yanhong , Liu Luning
Published: September 2022

How to promote air traveler repurchasing has become an important marketing strategy in airlines. However, because of the growing concern over user privacy, effectively and accurately delivering advertising to promote repurchasing has become more difficult. Here, we propose an effective framework based on machine learning to model the air traveler repurchasing and furthermore employ a field experiment to test the utility of a model framework. Specifically, we collected that this model framework is based on the random forest algorithm and compared with the conclusions of the other four algorithms, K-nearest neighbor, decision tree, support vector machine, and ExtraTree algorithms. The results show that the proposed model framework is better than the prediction results of the other algorithms. In addition, the proposed model framework was verified through a real case of an airline in China. This study will serve as a guide to analyze the repurchase behaviors of an air traveler and help airlines build a loyal air traveler base.
Removal of Azo Dye Carmoisine by Adsorption Process on Diatomite
Authors: Labiod Kotbia , Hazourli Sabir , Bendaia Marwa , Tlili Mohamed , AitBara Adel , Graine Radouane , Meradi Hazem
Published: September 2022

This work aims to evaluate the adsorption capacity of an abundant natural diatomite (ND) to remove the azo dye carmoisine, known as a harmful emerging organic pollutant. Indeed, to the best of our knowledge, no results were reported on this subject. The ND was characterized by FTIR, XRD, and SEM/EDX analyses. The experimental study of adsorption was carried out in batch mode. Results showed that ND adsorbent is mainly composed of silica. A fraction of calcite and ankerite was also identified. It is a porous material with a specific surface of about 41 m2.g-1 and with a hydroxyl surface functional group -OH. Adsorption results showed that adsorption process on ND is found to be effective in removing the carmoisine colorant. The adsorption capacity is strongly affected by the adsorbent and adsorbate contents, the solution pH, the work temperature, and the water hardness and mineralization. At room temperature, optimal experimental conditions for the highest adsorption capacity (12 mg.g-1) were colorant concentration 50mg.L-1, pH 2, contact time 30min, and ND content 1 g.L-1. Modeling study has showed that experimental results are well modeled by the Freundlich isotherm in multilayer adsorption. The reaction kinetics are pseudo-second order, and the thermodynamic parameters indicated that the nature of the adsorption process is endothermic and spontaneous.
Applying Activity System-Based Process Model in Augmented Reality-Based Learning for Natural Science Course in Elementary School
Authors: Huang Chun-Yen , Chou Yin-Yu , Chen Chien-Hsu , Tsai Yu-Hsiang
Published: September 2022

Since learning environments have the support of innovational technology, blended learning environments could integrate the physical learning methods with multimedia learning materials, which combines the use of technology with the traditional teaching methods and offers a potential for teachers and students to meet the requirements of learning flexibility and innovation. This study aims to redesign a user-centered Activity System-Based Process Model (ASPM) and integrate the Augmented Reality (AR) into blended learning to implement the Augmented Reality-Based Blended Learning (ARBL) system. There were 57 participants who learned with the ARBL while the control group was made up of 52 students who learned with the Traditional Blended Learning (TBL) approach. Analytical results indicate that the learning outcomes and learning attitude of the ARBL group were better than those of the TBL group. The activity system-based process model could provide a helpful structure in the ARBL to guide course designers, teachers, and researchers for designing the AR learning activity.
Performance Study and Optimization of 3D-MANET: A New Analytical Perspective Based on Zipf’s Law
Authors: Cheng Zairan , Liu Ying
Published: September 2022

This paper studies the throughput capacity and delay scaling laws in a three-dimensional mobile ad hoc network (3D-MANET) under different routing schemes. Previous work generally assumed that nodes follow a uniform distribution or a power-law distribution to move in the network. From the perspective of the entire network, it is difficult for this network model to reflect communication entities’ distribution in real 3D space. Moreover, the research results of analyzing network performance using different routing schemes are limited, and the research work is insufficient. With formerly related studies different,we propose a cell-gridded network model that considers the actual environment with cells of the node aggregation degree, which follows Zipf’s law with exponent

γ

. And our model can cover a variety of distribution scenarios with changes in the

γ

value. The packet delivery rate, network capacity, and delay performance of 3D-MANET adopting the traditional two-hop nonredundant and redundant relay routing scheme are examined utilizing theoretical tools such as probability theory, random process, and queuing theory. We propose a wireless access point- (WAP-) enabled multihop relay routing scheme. By deploying WAP in cells with a high

γ

, nodes can access WAP and broadcast packets, which accelerates the delivery of packets, and the results obtained by applying this scheme indicate that compared with the two-hop relay scheme, the WAP multihop relay effectively improves the delay performance and the transmission efficiency with less loss of capacity performance. Additionally, a better delay-capacity trade-off performance is achieved. Finally, we discuss the influence of parameters such as the number of network nodes

n

, the number of network cells

m

, the redundancy

r

, and

γ

on the capacity and delay. The analysis results confirm that exploiting the users’ distribution status information and dividing the cells reasonably will save deployment costs and further improve network performance.
Effects of Infection-Induced Fever and the Interaction with IL6 rs1800796 Polymorphism on the Prognosis of Breast Cancer
Authors: Ye Hengming , Tang Lu-Ying , Liang Zhuo-Zhi , Chen Qian-Xin , Li Yun-Qian , Liu Qiang , Xie Xiaoming , Lin Ying , Ren Ze-Fang
Published: September 2022

Background:

Previous studies have found that acute febrile infection may decrease the risk of breast cancer. Meanwhile, it is well known that interleukin-6 (IL6) played dual roles in the tumor microenvironment. Fever may stimulate IL6 production, and IL6 rs1800796 also influences the expression of IL6. However, the impact of fever and its interaction with IL6 rs1800796 on breast cancer survival remains to be explored.

Methods:

This was a prospective cohort study of 4,223 breast cancer patients. Exposures were pre-/postdiagnostic infection-induced fever and rs1800796 polymorphism. The endpoints were overall survival (OS) and progression-free survival (PFS). Adjusted hazard ratios were obtained using multivariate Cox proportional hazards regression models.

Results:

Compared with women without prediagnostic fever, the adjusted hazard ratio (HR) of progression for those with prediagnostic fever was 0.81 (95% CI, 0.66–0.99), particularly for the CC genotype of IL6 rs1800796 (HR, 0.53; 95% CI, 0.36–0.79). OS was also better (HR, 0.59; 95% CI, 0.36–0.99) among women with the CC genotype exposed to prediagnostic fever, accompanied by a significant interaction (P = 0.021). Postdiagnostic fever conferred better PFS for breast cancer (HR, 0.72; 95% CI, 0.52–1.00). Irrespective of the genotype of IL6, lymph node–positive women with postdiagnostic fever (HR, 0.57; 95% CI, 0.37–0.89) had a lower risk of progression than lymph node–negative women (HR, 1.12; 95% CI, 0.70–1.79).

Conclusions:

Infection-induced fever was beneficial to breast cancer survival, particularly for women who were the CC genotype of IL6 rs1800796 or node positive.

Impact:

This study provides new insight into the roles of infection-induced fever as a potential prognostic marker and therapy regimen for breast cancer.
A Systematic Review of Health Literacy Measurement Instruments in Portugal
Authors: Barros Ana , Santos Helena , Santos-Silva Filipe
Published: September 2022

Introduction: Health literacy evaluation is considered a priority issue in the health literacy research field. The complexity of the multiple definitions of health literacy and the diversity of instruments to evaluate health literacy has become a challenge to the establishment of comparisons across different studies. This work aimed to provide a systematic literature review of the existing measurement instruments adapted or developed for different groups of the Portuguese population. Methods: A comprehensive search of digital databases was conducted to systematize and understand the available knowledge about health literacy measurement in Portugal and to identify assessment tools and studies developed. The selection process was based on PRISMA guidelines. Results: A total of 17 publications were analysed regarding different aspects, which resulted in the identification of 11 different instruments, that were adapted or developed to measure health literacy in different groups of the Portuguese population, mainly adults, adolescents, and young adults. Seven instruments focusing on general health literacy (including e-health), 2 on mental health literacy, and the other 2 on oral health literacy were identified. Discussion/Conclusion: This study presents the first general overview of health literacy measurement in Portugal and clearly shows that to deepen our knowledge of health literacy in the Portuguese population it is essential to broaden the scope and the target of health literacy assessment to have a comprehensive understanding that will allow transforming our reality regarding health and disease.
Drug-Induced Acute Kidney Injury Risk Prediction Models
Authors: Yousif Zaid , Awdishu Linda
Published: September 2022

Background: Acute kidney injury (AKI) risk prediction models can predict AKI with short lead times and excellent model performance. However, these prediction models have not ascertained the etiology of the AKI. Drugs are an important contributor to AKI, and it is difficult to distinguish drug causes from other etiologies. Summary: Clinical adjudication of AKI etiology can reduce misclassification associated with temporal relationships, since expert adjudicators are trained to assess an outcome in a consistent manner using standardized definitions. Drug-induced acute kidney injury (DI-AKI) varies by drug and is heterogeneous in onset and mechanisms, limiting a universal approach to risk prediction and necessitating expert review. DI-AKI models should be constructed using a high-quality prospective dataset to maximize model performance, internal and external validity. Predictor selection and engineering requires careful attention to unique issues arising from interactions such as drug dose and concentrations. Various statistical methods, such as least absolute shrinkage and selection operator regression or advanced machine learning techniques, may be applied to perform feature selection and capture trends and interactions between predictors. Finally, the model should be carefully evaluated by internal and external validation. Key Messages: The development of DI-AKI risk prediction models is needed to identify high-risk patients, identify new risk factors, formulate, and apply preventative strategies. DI-AKI risk prediction models require a well-defined dataset of clinically adjudicated cases to improve model performance, validity, and reduce the risk of misclassification.
Intravenous Tranexamic Acid in Percutaneous Kidney Biopsy: A Randomized Controlled Trial
Authors: Izawa Junichi , Matsuzaki Keiichi , Raita Yoshihiko , Uehara Genta , Nishioka Norihiro , Yano Hiroyuki , Sudo Ko , Katsuren Masato , Ohigashi Tomohiro , Sozu Takashi , Kawamura Takashi , Miyasato Hitoshi ,   The TRANEPSY Trial Group
Published: September 2022

Background: Tranexamic acid is frequently reported to reduce bleeding-related complications in major surgery and trauma. We aimed to investigate whether tranexamic acid reduced hematoma size after percutaneous kidney biopsy. Methods: We conducted a double-blind, parallel three-group, randomized placebo-controlled trial at a teaching hospital in Japan between January 2016 and July 2018. Adult patients with clinical indication for ultrasound-guided percutaneous biopsy of a native kidney were included. Participants were randomly assigned into three groups: high-dose tranexamic acid (1,000 mg in total), low-dose tranexamic acid (500 mg in total), or placebo (counterpart saline). Intervention drugs were intravenously administered twice, as a bolus just before the biopsy and as a continuous infusion initiated just after the biopsy. Primary outcome was post-biopsy perirenal hematoma size as measured by ultrasound on the morning after the biopsy. Results: We assessed 90 adult patients for study eligibility, of whom 56 were randomly allocated into the three groups: 20 for high-dose tranexamic acid, 19 for low-dose tranexamic acid, and 17 for placebo. The median size of perirenal hematoma was 200 mm2 (interquartile range, 21–650) in the high-dose tranexamic acid group, 52 mm2 (0–139) in the low-dose tranexamic acid group, and 0 mm2 (0–339) in the placebo group (p = 0.048 for high-dose tranexamic acid vs. placebo). Conclusion: In this trial, the median size of post-kidney biopsy hematoma was unexpectedly larger in the high-dose tranexamic acid group than in the placebo group. Although our results do not support the routine use of tranexamic acid in percutaneous kidney biopsy at present, further studies are needed to confirm the results.
Meta-Analysis of the Use of Head Impulse Test and Head Impulse Test with Direction Changing Nystagmus and Test of Skew Deviation in the Diagnosis of Peripheral Vertigo and Stroke
Authors: Ooi Suyi , Phillips Grace , Tang Tanya , Chen Luke , Fok Anthony , Ly John , Ma Henry , Phan Thanh G.
Published: September 2022

Introduction: The head impulse test (HIT) and HIT combined with direction-changing Nystagmus-Test of Skew deviation (HINTS) have been proposed as bedside tests to differentiate between peripheral and central causes of vertigo in the emergency department (ED). We conducted a meta-analysis of the HIT and HINTS tests to diagnose peripheral vertigo (PV) and central vertigo. Methods: Pubmed, Google Scholar, EmBase, and articles references published in English up to July 2021 were searched for keywords “vertigo” or “acute vestibular syndrome” or “dizziness” and “head impulse” and “stroke.” The bivariate method for meta-analysis was used to calculate positive (PLR) and negative likelihood ratios (NLR) and summary receiver operating characteristics area under the curve (AUC). Results: A total of 11 studies were included analysing both HIT (8 studies, N = 417) and HINTS (6 studies, N = 405). HIT and HINTS were performed within 24 h in 4 of 11 studies. PLR and NLR for HIT in PV was 4.85 (95% CI: 2.83–8.08) and 0.19 (95% CI: 0.12–0.29, I2 63.25%), respectively. The AUC for HIT the diagnosis of PV and stroke was 0.90 and 0.92, respectively. PLR and NLR for a negative HIT in stroke was 5.85 (95% CI: 3.07–10.6) and 0.17 (95% CI: 0.08–0.30), respectively. PLR and NLR for peripheral HINTS pattern for PV was 17.3 (95% CI: 8.38–32.1) and 0.15 (95% CI: 0.07–0.26), respectively. PLR and NLR for central HINTS pattern for stroke: 5.61 (95% CI: 4.19–7.7) and 0.06 (95% CI: 0.03–0.12). In all included studies, HIT and HINTS exams were administered by neurology residents or neurology specialists with additional neuro-otology or neuro-ophthalmology subspeciality experience, and two studies included ED physicians. Raters reported high degree of bias and high concern regarding applicability in most domains of the quality assessment of diagnostic accuracy studies (QUADAS-2) tool. Meta-regression did not demonstrate a statistically significant effect of publication year, time to test, and type of assessor on sensitivity or false positive rate. Conclusion: The HIT and HINTS exams appear to be moderately good discriminators of central and PV. However, in most papers, the tests were administered by neurologists and were evaluated beyond 24 h, which may limit utility in the ED setting.
Transitivismo e psicopatologia na infância
Authors: Xavier Hélida Vieira da Silva , Viola Carolina Gubert
Published: September 2022

No presente ensaio teórico, apresenta-se uma leitura da articulação do conceito de transitivismo com a psicopatologia do autismo na infância. Como objeto de pesquisa, utiliza-se um corpus textual composto por escritos de quatro autores que se dedicaram à discussão da psique infantil: Henri Wallon (1879-1962), Jacques Lacan (1901-1981), Jean Bergès e Gabriel Balbo. Trabalha-se, ainda, a partir de recortes clínicos de acompanhamentos terapêuticos (AT) com crianças realizados com uma das autoras. A compilação dos recortes clínicos demarca a especificidade da intervenção no AT e aponta a importância de que o profissional psi considere o transitivismo na prática clínica e interrogue-se sobre os obstáculos que se interpõem na organização do transitivismo mãe-criança.
Compreendendo a violência a partir da teoria winnicottiana
Authors: Oleiro Bianca Lopes , Araújo Gustavo Porfírio de , Freitas Bruna Praxedes Yamamoto de
Published: September 2022

Este trabalho busca compreender, sob a perspectiva de Winnicott, a natureza da violência a partir do desenvolvimento emocional do sujeito. Segundo a Organização Mundial da Saúde (2002), a violência é um grave problema de saúde pública que pode ser prevenido. É fundamental um ambiente facilitador que promova cuidado, confiabilidade, segurança e suporte os impulsos agressivos da criança, assim como a implementação de políticas públicas a partir da criação de projetos que ofereçam um ambiente suficientemente bom para que os jovens possam ressignificar seus comportamentos violentos, tornando-os construtivos. Dessa forma, tanto os pais, quanto a sociedade e o Estado têm responsabilidade no que diz respeito ao tratamento e à prevenção da tendência antissocial para resgatar condições rumo a uma vida saudável.
A psicanálise como possibilidade de escuta do mal-estar na contemporaneidade
Authors: Sadala Maria da Gloria Schwab , Santos Kleber Barbosa dos
Published: September 2022

Este artigo realiza uma investigação acerca das manifestações de mal-estar e das facetas do adoecimento psíquico dos sujeitos no cenário atual. Na contemporaneidade, o processo cultural evidencia o desafio em abordar as formas de subjetivação diante da relação inescapável entre sujeito e discurso civilizatório. Assim, este estudo pretende, primeiramente, localizar possíveis diretrizes psicanalíticas para suspender os impasses clínicos que surgem diante sujeito, uma vez que este está à mercê e atravessado pela linguagem. Por fim, com alicerce dos fundamentos psicanalíticos, constata-se que as ideias de Freud e Lacan ainda  permitem importantes articulações entre a teoria do inconsciente e o fazer clínico.
Pensamento socialista em ruínas. O que podemos esperar?
Authors: Morin Edgar
Published: September 2022

Trata-se de ensaio publicado no Le Monde, em 1993, em que o autor discute o significado do socialismo a partir de uma possibilidade de revisão de seus aspectos constitutivos e de suas aspirações para a construção de uma sociedade melhor. Questionando determinismos definidos por uma racionalidade ávida pelo progresso, Edgar Morin nos convoca a refletir sobre a necessidade de um projeto civilizatório voltado para "transformar a espécie humana em humanidade"; e que seja capaz de responder a um contexto de crescente complexidade, que parece atingir seu ápice nos dias atuais, tornando este texto um importante manifesto sobre esperança para a construção de relações sociais cada vez mais humanas.
Dos meios às mediações (algorítmicas): mediação, recepção e consumo em plataformas digitais
Authors: Winques Kérley , Longhi Raquel Ritter
Published: September 2022

Algoritmos tornaram-se vetores sociais e constituidores de sentidos, pois tensionam e são tensionados pelas dinâmicas sociais da web. O artigo discute consumo e recepção online, e apresenta o Mapa do Sistema de Mediações Algorítmicas, a partir das proposições de Jesús Martín-Barbero, como um instrumento de apoio à reflexão sobre pesquisas em plataformas. O mapa é uma tentativa de alinhar os estudos culturais à contemporaneidade, permeada por fluxos algorítmicos, em que as plataformas digitais ganham importância como categoria de análise das mediações institucionais na recepção. Investiga-se como os conteúdos são consumidos em um cotidiano atravessado pelas práticas sociais originadas de outras mediações do sujeito.
A vacina em dois jornais brasileiros antes e durante a covid-19
Authors: Neves Luiz Felipe Fernandes , Massarani Luisa
Published: September 2022

Neste artigo, analisamos 2.120 matérias sobre vacina publicadas pelos jornais O Estado de S. Paulo e Folha de S.Paulo em 2019 e 2020 – antes e durante a pandemia da covid-19 – com o objetivo de compreender as mudanças na abordagem desse tema pela imprensa. Com uma metodologia de análise de conteúdo assistida por computador, identificamos os principais elementos das matérias nos dois períodos. Os resultados mostram que o aumento na produção de conteúdo sobre vacina foi acompanhado pela passagem de um jornalismo de serviço para uma abordagem mais científica e pela inserção de uma diversidade de atores, organizações e países – características reveladoras dos aspectos políticos, econômicos e ideológicos que permeiam a ciência.
Ele Ezkera: Estes Recordarei
Authors: Hubner Manu Marcus
Published: September 2022

O poema litúrgico Ele Ezkera, que narra o martírio de dez grandes sábios do povo de Israel há mais de dezoito séculos, entre eles o famoso R. Akiva, ainda emociona os corações de milhões de pessoas em todo o mundo, no dia mais importante do calendário judaico.
As vogais e suas transformações no hebraico bíblico
Authors: Araújo Reginaldo Gomes de
Published: September 2022

Neste presente estudo procura-se analisar o processo de transformação das vogais na língua hebraica, no período clássico ou bíblico, partindo do triângulo vocálico tradicional das línguas semíticas, e mostrar que esse sistema vocálico desenvolvido remonta ao protossemítico. Partindo das três vogais /a/, /i/ e /u/ tenta-se mostrar como as vogais do hebraico se desenvolveram, gerando mais 2 vogais, a saber, o /e/ e o /o/. Como no hebraico o ligamento de um sufixo a uma palavra, verbo ou substantivo, leva ao deslocamento da sílaba tônica, provocando assim uma redução vocálica na penúltima ou antepenúltima sílaba. Fenômeno que merece ser estudado, pois como se entenderia o que acontece com a palavra dāvār, que no construto singular se torna dǝvar e no plural dǝvārim e no construto plural divrê. O presente estudo se propõe a explicar e analisar esse fenômeno, mostrando que também é importante para a compreensão de mudanças vocálicas que acontecem hoje no hebraico falado.
Avi (Meu Pai) / por Itamar Ben-Avi em homenagem a Eliezer Ben-Yehuda
Authors: Steinberg Gabriel
Published: September 2022

Este texto apresenta a tradução do manifesto Avi (Meu pai) escrito por Itamar Ben-Avi, primogênito de Eliezer Ben-Yehuda em 1927. O texto teve como objetivo prestar uma homenagem a seu pai, importante ativista e ideólogo sionista, e principal responsável pela renovação e transformação do hebraico em língua vernacular. Itamar Ben-Avi foi o nome adotado por Ben Tsion Ben-Yehuda, que ficou conhecido com o “primeiro menino hebreu” da era moderna. Jornalista e ativista sionista, Itamar seguiu os passos de seu pai e foi responsável pela criação de novos termos e novos vocábulos que acabaram sendo incorporadas à língua renovada. Acompanhou a feroz resistência enfrentada por seu pai, e junto com ele, pode vislumbrar a vitória da transformação do hebraico em língua falada pelas novas gerações nascidas na Terra de Israel, no período que antecedeu a fundação do Estado.
Stone-tool-assisted hunting by a wild monkey (Macaca fascicularis aurea)
Authors: Haslam Michael , Malaivijitnond Suchinda , Gumert Michael D.
Published: September 2022

We report anecdotal evidence for stone-tool-assisted hunting by a non-human primate. Wild Burmese long-tailed macaques (Macaca fascicularis aurea) in Laem Son National Park, Thailand, regularly consume crabs, processing them both with and without stone pounding tools. However, stone-tool-assisted capture of crab prey, prior to the processing for consumption, has yet to be reported. We observed a tool-using episode as part of the hunting process, and provide video evidence confirming Burmese long-tailed macaques as the first known non-human primate to hunt and subdue other animals with the aid of stone tools.