bluuebunny/crossref_metadata_2025 huggingface dataset:
Data from Rates of Intervention and Cancer Detection on Initial versus Subsequent Whole-body MRI Screening in Li-Fraumeni Syndrome
Authors: Kagami Laura A.T. , Du Yun K. , Fernandes Conrad J. , Le Anh N. , Good Madeline , Duvall Melani M. , Baldino Sarah E. , Powers Jacquelyn , Zelley Kristin , States Lisa J. , Mathew Manoj C. , Katona Bryson W. , MacFarland Suzanne P. , Maxwell Kara N.
Published: August 2023

Abstract
Li-Fraumeni Syndrome (LFS) is a hereditary cancer predisposition syndrome with up to 90% lifetime cancer risk. Cancer screening, including annual whole-body MRI (WB-MRI), is recommended due to known survival advantage, with cancer detection rate of 7% on initial screening. Intervention and cancer detection rates on subsequent screenings are unknown. Clinical data for pediatric and adult patients with LFS (n = 182) were reviewed, including instances of WB-MRI screening and interventions based on screening results. For each WB-MRI screening, interventions including biopsy and secondary imaging, as well as rate of cancer diagnosis, were analyzed comparing initial versus subsequent WB-MRI. Of the total cohort (n = 182), we identified 68 adult patients and 50 pediatric patients who had undergone at least two WB-MRI screenings, with a mean of 3.8 ± 1.9 (adults) and 4.0 ± 2.1 (pediatric) screenings. Findings on initial screening led to an imaging or invasive intervention in 38% of adults and 20% of children. On follow up, overall intervention rates were lower for adults (19%, P = 0.0026) and stable for children (19%, P = NS). Thirteen cancers were detected overall (7% of adult and 14% of pediatric scans), on both initial (pediatric: 4%, adult: 3%) and subsequent (pediatric: 10%, adult: 6%) screenings. Rates of intervention after WB-MRI screening decreased significantly in adults between first and subsequent exams and remained stable in pediatric patients. Cancer detection rates were similar on screening (3%–4% initial, 6%–10% subsequent) for both children and adults. These findings provide important data for counseling patients with LFS about screening outcomes.
Prevention Relevance:
The cancer detection rate, burden of recommended interventions, and rate of false-positive findings found on subsequent WB-MRI screenings in patients with LFS are not well understood. Our findings suggest that annual WB-MRI screening has clinical utility and likely does not result in an unnecessary invasive intervention burden for patients.
Supplementary Table 4 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Authors: Hill Holly A. , Jain Preetesh , Ok Chi Young , Sasaki Koji , Chen Han , Wang Michael L. , Chen Ken
Published: August 2023

Hyperparameters for XGBoost Models
Supplementary Data Description from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Authors: Hill Holly A. , Jain Preetesh , Ok Chi Young , Sasaki Koji , Chen Han , Wang Michael L. , Chen Ken
Published: August 2023

Supplementary Data Description
Automatic brain tumor detection using adaptive region growing with thresholding methods
Authors: Ezzat Kadry Ali , Omran Lamia Nabil , Ismail Ahmed Adel , Seddawy Ahmed Ibrahim Bahgat El
Published: August 2023

Brain cancer affects many people around the world. It's not just limited to the elderly; it is also recognized in children. With the development of image processing, early detection of mental development is possible. Some designers suggest deformable models, histogram averaging, or manual division. Due to constant manual intervention, these cycles can be uncomfortable and tiring. This research introduces a high-level system for the removal of malignant tumors from attractive reverberation images, based on a programmed and rapid distribution strategy for surface extraction and recreation for clinicians. To test the proposed system, acquired tomography images from the Cancer Imaging Archive were used. The results of the study strongly demonstrate that the intended structure is viable in brain tumor detection.
Transmission line impulse response modelling using machine learning techniques
Authors: Lim Wei Min , How Khin Leong , Goay Chan Hong , Ahmad Nur Syazreen , Goh Patrick
Published: August 2023

Conventional methods of circuit simulation such as full-wave electromagnetic ﬁeldsolvers can be very slow. Machine learning is an emerging technology in modelling, simulation, optimization, and design that present attractive alternatives to the conventional methodologies because they can be trained with a small amount of data, and then used to perform fast circuit predictions within the same design space. In this paper, we present applications of machine learning techniques for the modelling of transmission lines from their impulse reponses. The standard multilayer perceptron (MLP) neural network and the gaussian process (GP) regression techniques are demonstrated, and
both models are successfully implemented to model the impulse responses of transmission lines with great accuracies. We show that the GP outperforms the MLP in terms of prediction accuracies and that the GP is more data efﬁcient than the MLP. This is beneﬁcial considering that each training sample is expensive, making the GP a good candidate for the task, compared to the more popular MLP.
Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5
Authors: Al-Haimi Hamzah Abdulmalek , Sani Zamani Md , Izzudin Tarmizi Ahmad , Ghani Hadhrami Abdul , Azizan Azizul , Abdul Karim Samsul Ariffin
Published: August 2023

This project aims to develop a vision system that can detect traffic light
counter and to recognise the numbers shown on it. The system used you only
look once version 3 (YOLOv3) algorithm because of its robust performance
and reliability and able to be implemented in Nvidia Jetson nano kit. A total
of 2204 images consisting of numbers from 0-9 green and 0-9 red. Another
80% (1764) from the images are used for training and 20% (440) are used for
testing. The results obtained from the training demonstrated Total
precision=89%, Recall=99.2%, F1 score=70%, intersection over union
(IoU)=70.49%, mean average precision (mAp)=87.89%, Accuracy=99.2%
and the estimate total confidence rate for red and green are 98.4% and 99.3%
respectively. The results were compared with the previous YOLOv5
algorithm, and the results are substantially close to each other as the YOLOv5
accuracy and recall at 97.5% and 97.5% respectively.
Valve control system on a venturi to control FiO2 a portable ventilator with fuzzy logic method based on microcontroller
Authors: Pranoto Hadi , Marwanto Arief , Alifah Suryani , Fatah Lukman Abdul
Published: August 2023

The results of several studies for portable ventilators state that it is difficult to
regulate oxygen levels of fraction of inspired oxygen (FiO2) that are in
accordance with what is needed directly during the implementation of oxygen
therapy. Some portable ventilators cannot set the FiO2, so the ventilators work
with a fixed FiO2. To overcome this problem, medical oxygen with a level of
100% is lowered by mixing with free air with an oxygen content of about 40%.
Mixing is carried out using a venturi with a large/wide hole that can be
adjusted using a slated disk rotated by a direct current motor. The rotation
control method uses Mamdani's fuzzy logic. The results of clinically lab-scale
testing show that the fuzzy logic control system is able to control the average
error pressure of 10.3%, better when compared to the on-off control method,
which is 14.5%. The fuzzy logic method is able to increase the accuracy of
FiO2 on a portable ventilator.
Eligibility of village fund direct cash assistance recipients using artificial neural network
Authors: Midyanti Dwi Marisa , Bahri Syamsul , Suhardi Suhardi , Midyanti Hafizhah Insani
Published: August 2023

Bantuan Langsung Tunai Dana Desa (BLT-DD), or known as Village Fund Direct Cash Assistance is assistance from the Indonesian government which causes problems and conflicts in the community when the assistance is not on target. The classification algorithm is proven to use in determining BLT-DD recipients. In this study, the radial basis function (RBF) and elman recurrent neural network (ERNN) models compare to classify the eligibility of BLTDD recipients. In the experiment, the optimal performance of the RBF and ERNN compare in determining the eligibility of BLT-DD recipients. Also, it’s compared with the classification algorithm that implements the same data, namely BLT-DD data for Kubu Raya District. The experimental results show the effectiveness of the RBF model in recognizing test data, while the ERNN model is effective in identifying test data. The RBF and ERNN models can achieve the same total accuracy of 98.10%.
Efficient method for finding nearest neighbors in flocking behaviors using k-dimensional trees
Authors: Al-Tawil Marwan , Al-Zoubi Moh’d Belal , Adwan Omar Y. , Al-Huneiti Ammar , Al Fayez Reem Q.
Published: August 2023

Flocking is a behavior where a group of objects travel, move or collaborate together. By learning more about flocking behavior, we might be able to apply this knowledge in different contexts such as computer graphics, games, and education. A key steppingstone for understanding flocking behavior is to be able to simulate it. However, simulating behaviors of large numbers of objects is highly compute-intensive task because of the n-squared complexity of nearest neighbor for separating n objects. The work in this paper presents an efficient nearest neighbor method based on the k-dimensional trees (KD trees). To evaluate the proposed approach, we apply it using Unity-3D game engine, together with other conventional nearest neighbor methods. The Unity-3D game simulation engine allows users to utilize interaction design tools for programming and animating flocking behaviors. Results showed that the proposed approach outperform other conventional nearest neighbor approaches. The proposed approach can be used to enhance digital games quality and simulations.
Attention gated encoder-decoder for ultrasonic signal denoising
Authors: Mansouri Nabil Jai , Khaissidi Ghizlane , Despaux Gilles , Mrabti Mostafa , Clézio Emmanuel Le
Published: August 2023

Ultrasound imaging is one of the most widely used non-destructive testing
methods. The transducer emits pulses that travel through the imaged samples
and are reflected by echo-forming impedance. The resulting ultrasonic signals
usually contain noise. Most of the traditional noise reduction algorithms
require high skills and prior knowledge of noise distribution, which has a
crucial impact on their performances. As a result, these methods generally
yield a loss of information, significantly influencing the final data and deeply
limiting both sensitivity and resolution of imaging devices in medical and
industrial applications. In the present study, a denoising method based on an
attention-gated convolutional autoencoder is proposed to fill this gap. To
evaluate its performance, the suggested protocol is compared to widely used
methods such as butterworth filtering (BF), discrete wavelet transforms
(DWT), principal component analysis (PCA), and convolutional autoencoder
(CAE) methods. Results proved that better denoising can be achieved
especially when the original signal-to-noise ratio (SNR) is very low and the
sound waves’ traces are distorted by noise. Moreover, the initial SNR was
improved by up to 30 dB and the resulting Pearson correlation coefficient was
maintained over 99% even for ultrasonic signals with poor initial SNR.
User identification based on short text using recurrent deep learning
Authors: Hallawi Huda , Kadhim Huda Ragheb , Abdullah Zahraa Najm , AL-Shakarchy Noor D. , Nasrawi Dhamyaa A.
Published: August 2023

Technological development is a revolutionary process by this time, it is
mainly depending on electronic applications in our daily routines like
(business management, banking, financial transfers, health, and other essential
traits of life). Identification or approving identity is one of the complicated
issues within online electronic applications. Person’s writing style can be
employed as an identifying biological characteristic in order to recognize the
identity. This paper presents a new way for identifying a person in a social
media group using comments and based on the Deep Neural Network. The
text samples are short text comments collected from Telegram group in Arabic
language (Iraqi dialect). The proposed model is able to extract the person's
writing style features in group comments based on pre-saved dataset. The
analysis of this information and features forms the identification decision.
This model exhibits a range of prolific and favorable results, the accuracy that
comes with the proposed system reach to 92.88% (+/- 0.16%).
Comparison between autoregressive integrated moving average and long short term memory models for stock price prediction
Authors: Low Pi Rey , Sakk Eric
Published: August 2023

This study compares the forecasting accuracy in stock price prediction of two
widely established models - a more traditional autoregressive integrated
moving average (ARIMA) model and a deep learning network, the long shortterm memory (LSTM) model. They perform exceptionally well in time series data analysis and are applied to ten different stock tickers, comprising exchange-traded funds (ETFs) from different market sectors for the purpose of this study. The parameters in both models were optimised and this process revealed several differences from existing literature with regards to the optimal combination of parameters in both models. Upon comparing their performances, despite being more accurate when making point predictions, the ARIMA was outperformed significantly by LSTMs in terms of long-term predictions. Point predictions made by ARIMA were found to have similar accuracies as the long-run predictions made by LSTMs.
Biologically inspired deep residual networks
Authors: Varghese Prathibha , Saroja Arockia Selva
Published: August 2023

Many difficult computer vision issues have been effectively tackled by deep neural networks. Not only that but it was discovered that traditional residual neural networks (ResNet) captures features with high generalizability, rendering it a cutting-edge convolutional neural network (CNN). The images classified by the authors of this research introduce a deep residual neural network that is biologically inspired introduces hexagonal convolutions along the skip connection. With the competitive training techniques, the effectiveness of several ResNet variations using square and hexagonal convolution is assessed. Using the hex-convolution on skip connection, we designed a family of ResNet architecture,hexagonal residual neural network (HexResNet), which achieves the highest testing accuracy of 94.02%, and 55.71% on Canadian Institute For Advanced Research (CIFAR)-10 and TinyImageNet, respectively. We demonstrate that the suggested method improves vanilla ResNet architectures’ baseline image classification accuracy on the CIFAR-10 dataset, and a similar effect was seen on the TinyImageNet dataset. For Tiny- ImageNet and CIFAR-10, we saw an average increase in accuracy of 1.46% and 0.48% in the baseline Top-1 accuracy, respectively. The generalized performance of advancements was reported for the suggested bioinspired deep residual networks. This represents an area that might be explored more extensively in the future to enhance all the discriminative power of image classification systems.
Performance investigation of two-stage detection techniques using traffic light detection dataset
Authors: Ajagbe Sunday Adeola , Adegun Adekanmi Adeyinka , Olanrewaju Ahmed Babajide , Oladosu John Babalola , Adigun Matthew Olusegun
Published: August 2023

Using a camera to monitor an object or a group of objects over time is the process of object detection. It can be used for a variety of things, including security and surveillance, video communication, traffic light detection (TLD), object detection from compressed video in public places. In recent times, object tracking has become a popular topic in computer science particularly, the data science community, thanks to the usage of deep learning (DL) in artificial intelligence (AI). DL which convolutional neural network (CNN) as one of its techniques usually used two-stage detection methods in TLD. Despite all successes recorded in TLD through the use of two-stage detection methods, there is no study that has analyzed these methods in experimental research, studying the strength and witnesses by the researchers. Based on the needs this study analyses the applications of DL techniques in TLD. We implemented object detection for TLD using 5 two-stage detection methods with the traffic light dataset using a Jupyter notebook and the sklearn libraries. We present the achievements of two-stage detection methods in TLD, going by standard performance metrics used, FASTER-CNN was the best in detection accuracy, F1-score, precision and recall with 0.89, 0.93, 0.83 and 0.90 respectively.
Utilizing deep learning, feature ranking, and selection strategies to classify diverse information technology ticketing data effectively
Authors: Subbarao Mudragada Venkata , Venkatarao Kasukurthi , Chittineni Suresh , Kompella Subhadra
Published: August 2023

In today's internet world, information technology (IT) ticketing services are potentially increasing across many corporations. Therefore, the automatic classification of IT tickets becomes a significant challenge. Feature selection becomes most important, particularly in data sets with several variables and features. However, enhance classification's precision and performance by stopping insignificant variables. Through our earlier research, we have categorized the unsupervised ticket dataset. As a result, we have converted the dataset into a supervised dataset. In this article, the classification of different IT tickets on Machine learning algorithms, Feature ranking, and feature selection techniques are used to improve the efficiency of machine learning algorithms. However, compared to the machine learning (ML) algorithms, the convolutional neural network (CNN) algorithm provides a better classification of the token IDs and provide better accuracy.
First records of Pantophthalmidae (Insecta: Diptera) for the state of Tocantins, Brazil
Authors: Oliveira Lia Pereira , Fachin Diego Aguilar , Krolow Tiago Kütter
Published: August 2023

Pantophthalmidae (Diptera) are recorded exclusively in the Neotropical Region. Despite the large size of adults, their species are often rare and poorly represented in entomological collections. Only two genera and 20 species are known, of which 12 are recorded in the five regions of Brazil. In the North region, the family is reported from all states, except in Tocantins. The present work provides the first records of the family for Tocantins, expanding the distribution of two species, Pantophthalmus kerteszianus (Enderlein, 1914) and P. tabaninus Thunberg, 1819. Both species are recorded for the first time in the Cerrado biome. In addition, we provide photographs of the species and a distribution map.
The burden of physical inactivity for the public health care system in Brazil
Authors: Prodel Eliza , Mrejen Matías , Mira Pedro Augusto de Carvalho , Britto Jorge , Vargas Marco Antonio , Nobrega Antonio Claudio Lucas
Published: August 2023

OBJECTIVE: To update the estimated cost of physical inactivity for the Brazilian Unified Health System (SUS). METHODS: The hospitalization costs were accessed via a database of the Ministry of Health – Informatics Department of the Brazilian SUS. Physical inactivity for the year 2017 was accessed via the Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico (Vigitel – Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey). Seven chronic non-communicable diseases (NCD) were selected via the international classification of disease (ICD-10). The population fraction attributable to physical inactivity was calculated based on relative risk reported in previous studies and the prevalence of physical inactivity. RESULTS: In 2017, the seven NCD considered in the analysis were responsible for 154,017 hospital admissions in adults older than 40 years old, residing in the state capitals and the Federal District, which corresponded to 6.5% of hospitalizations and 10.6% of SUS costs at an estimated US$ 112,524,914.47. Considering the group of individuals with insufficient physical activity in their leisure time, the percentage cost attributed to physical inactivity reached 17.4% of the estimated costs with NCD. At a national level, NCD were responsible for approximately 740 thousand hospitalizations, costing US$ 482 million, from which 17.4%, US$ 83 million were attributed to physical inactivity. CONCLUSION: This study provides evidence to conclude that physical inactivity exerts an economic impact on the SUS due to NCD hospitalization. Physical inactivity is a modifiable lifestyle and compelling evidence, including that of this article, supports the promotion of a more active community as one of the major targets of public health care policies.
Desigualdades sociais em câncer no sexo masculino em uma metrópole da região Sudeste do Brasil
Authors: Ferreira Maria do Carmo , Arroyave Ivan , Barros Marilisa Berti de Azevedo
Published: August 2023

OBJETIVO: Analisar as desigualdades segundo a vulnerabilidade social na incidência, mortalidade e estimativa de sobrevida de neoplasias no sexo masculino. MÉTODOS: Foram analisados os casos e as mortes do total de neoplasias e das cinco mais incidentes em homens com 30 anos ou mais no município de Campinas (SP), entre 2010 e 2014, utilizando dados do Registro de Câncer de Base Populacional (RCBP) e do Sistema de Informação sobre Mortalidade (SIM). As áreas de residência foram agrupadas em cinco estratos de vulnerabilidade social (EVS) utilizando o Índice Paulista de Vulnerabilidade Social. Para cada EVS, foram calculadas as taxas de incidência e de mortalidade padronizadas por idade. Um proxy de sobrevida em cinco anos foi calculado pelo complemento da razão da taxa de mortalidade pela taxa de incidência. As desigualdades entre os estratos foram mensuradas pelas razões entre taxas, pelo índice relativo de desigualdade (IRD) e pelo índice angular de desigualdade. RESULTADOS: O IRD revelou que a incidência do total de neoplasias (0,66, IC95% 0,62–0,69) e dos cânceres colorretal e de pulmão foram menores entre os socialmente mais vulneráveis, que apresentaram maior incidência dos cânceres de estômago e da cavidade oral. As taxas de mortalidade por câncer de estômago, cavidade oral, próstata e por todas as neoplasias foram superiores nos segmentos mais vulneráveis, sem diferenças na mortalidade por câncer colorretal e de pulmão. A sobrevida foi menor no estrato de maior vulnerabilidade social para todos os cânceres estudados. O índice angular de desigualdade (IAD) mostrou o excesso de casos nos menos vulneráveis e de óbitos nos mais vulneráveis. As desigualdades sociais revelaram-se distintas conforme a localização do tumor e o indicador analisado. CONCLUSÃO: Constata-se uma tendência de inversão das desigualdades entre incidência e mortalidade e sobrevida, sendo esta última desfavorável ao segmento de maior vulnerabilidade social para os tipos de câncer, apontando a existência de inequidade no acesso ao diagnóstico precoce e ao tratamento efetivo e oportuno.
Breastfeeding practices and head circumference in young children: a systematic review
Authors: Giacomini Isabel , Faggiani Lucas Damasio , Mosquera Paola Soledad , Cardoso Marly Augusto
Published: August 2023

OBJECTIVE: To review observational studies on the association between breastfeeding (BF) practices and head circumference (HC) of children < 2 years old. METHODS: A systematic review was conducted using the following electronic databases of ​​health sciences: PubMed, Latin American and Caribbean Literature in Health Sciences (Lilacs), Web of Science and Scopus. We selected observational studies published in any language from January 01, 2010 to November 19, 2021, from different populations that investigated the association between BF practice and HC among healthy children <2 years old. Titles and abstracts were screened independently by two evaluators. RESULTS: From the 4229 articles identified, 24 were included in this review: 6 cross-sectional, 17 longitudinal, and 1 case-control. The studies varied in their definition of the variables for BF and in reporting its practice, frequency, duration, and feeding method. Regarding HC, the authors analyzed the mean differences, abnormal values ​​(z-score above + 2SD or below -2SD according to the World Health Organization (WHO) growth standards, 2007), and longitudinal growth parameters. The findings of this review suggest that BF may have a positive relationship with HC at the beginning of life. CONCLUSIONS: Our findings suggest that BF, especially exclusive BF, may play a protective role against abnormal HC values in young children. However, more robust evidence with standardized BF indicators and WHO growth standards (2007) are required.
High-risk spatial clusters for Zika, dengue, and chikungunya in Rio de Janeiro, Brazil
Authors: Souza-Santos Reinaldo , Sobral Andrea , Périssé Andre Reynaldo Santos
Published: August 2023

OBJECTIVE: To analyze the spatial distribution and identify high-risk spatial clusters of Zika, dengue, and chikungunya (ZDC), in the city of Rio de Janeiro, Brazil, and their socioeconomic status. METHODS: An ecological study based on data from a seroprevalence survey. Using a rapid diagnostic test to detect the arboviruses, 2,114 individuals were tested in 2018. The spatial distribution was analyzed using kernel estimation. To detect high-risk spatial clusters of arboviruses, we used multivariate scan statistics. The Social Development Index (SDI) was considered in the analysis of socioeconomic status. RESULTS: Among the 2,114 individuals, 1,714 (81.1%) were positive for at least one arbovirus investigated. The kernel estimation showed positive individuals for at least one arbovirus in all regions of the city, with hot spots in the North, coincident with regions with very low or low SDI. The scan statistic detected three significant (p<0.05) high-risk spatial clusters for Zika, dengue, and chikungunya viruses. These clusters correspond to 35.7% (n=613) of all positive individuals of the sample. The most likely cluster was in the North (cluster 1) and overlapped regions with very low and low SDI. Clusters 2 and 3 were in the West and overlapping regions with low and very low SDI, respectively. The highest values of relative risks were in cluster 1 for CHIKV (1.97), in cluster 2 for ZIKV (1.58), and in cluster 3 for CHIKV (1.44). Regarding outcomes in the clusters, the Flavivirus had the highest frequency in clusters 1, 2, and 3 (42.83%, 54.46%, and 52.08%, respectively). CONCLUSION: We found an over-risk for arboviruses in areas with the worst socioeconomic conditions in Rio de Janeiro. Moreover, the highest concentration of people negative for arboviruses occurred in areas considered to have better living conditions.
Myocardial Flow Reserve, an Independent Prognostic Marker of All-Cause Mortality Assessed by
82
Rb PET Myocardial Perfusion Imaging: A Danish Multicenter Study
Authors: Højstrup Signe , Hansen Kim W. , Talleruphuus Ulrik , Marner Lisbeth , Bjerking Louise , Jakobsen Lars , Christiansen Evald H. , Bouchelouche Kirsten , Wiinberg Niels , Guldbrandsen Kasper , Galatius Søren , Prescott Eva
Published: August 2023

BACKGROUND:

Rubidium-82 positron emission tomography (
82
Rb PET) myocardial perfusion imaging is used in clinical practice to quantify regional perfusion defects. Additionally,
82
Rb PET provides a measure of absolute myocardial flow reserve (MFR), describing the vasculature state of health. We assessed whether
82
Rb PET-derived MFR is associated with all-cause mortality independently of the extent of perfusion defects.

METHODS:

We conducted a multicenter clinical registry-based study of patients undergoing
82
Rb PET myocardial perfusion imaging on suspicion of chronic coronary syndromes. Patients were followed up in national registries for the primary outcome of all-cause mortality. Global MFR ≤2 was considered reduced.

RESULTS:

Among 7169 patients studied, 38.1% were women, the median age was 69 (IQR, 61–76) years, and 39.0% had MFR ≤2. A total of 667 (9.3%) patients died during a median follow-up of 3.1 (IQR, 2.6–4.0) years, more in patients with MFR ≤2 versus MFR >2 (15.7% versus 5.2%;
P
<0.001). MFR ≤2 was associated with all-cause mortality across subgroups defined by the extent of perfusion defects (all
P
<0.05). In a Cox survival regression model adjusting for sex, age, comorbidities, kidney function, left ventricular ejection fraction, and perfusion defects, MFR ≤2 was a robust predictor of mortality with a hazard ratio of 1.62 (95% CI, 1.31–2.02;
P
<0.001). Among patients with no reversible perfusion defects (n=3101), MFR ≤2 remained strongly associated with mortality (hazard ratio, 1.86 [95% CI, 1.26–2.73];
P
<0.01). The prognostic value of impaired MFR was similar for cardiac and noncardiac death.

CONCLUSIONS:

MFR ≤2 predicts all-cause mortality independently of the extent of perfusion defects. Our results support the inclusion of MFR when assessing the prognosis of patients suspected of chronic coronary syndromes.
Cerebral Small Vessel Disease and Outcomes in Patients With Acute Ischemic Stroke Receiving Endovascular Treatment: A Systematic Review and Meta‐Analysis
Authors: Kong Qianqian , Wang Ziyue , Zhao Jing , Zhang Yi , Zhou Xirui , Wu Lingshan , Yu Zhiyuan , Huang Hao , Luo Xiang
Published: August 2023

Background

It remains unclear whether neuroimaging markers of cerebral small‐vessel disease (CSVD) affect the outcomes of patients with acute ischemic stroke receiving endovascular treatment (EVT). The aim of this systematic review and meta‐analysis was to evaluate the association between CSVD neuroimaging markers and outcomes in patients with acute ischemic stroke undergoing EVT.

Methods

We conducted a systematic search of PubMed and EMBASE databases up to July 2022 using keywords or Medical Subject Heading terms (“cerebral small‐vessel diseases,” “leukoaraiosis,” “microbleed,” “enlarged perivascular space,” “recent small subcortical infarct,” “atrophy,” “lacune,” and “thrombectomy”). The assessed clinical outcomes were a good functional outcome, 90‐day mortality, symptomatic intracranial hemorrhage, and early neurologic improvement after EVT.

Results

Overall, 30 studies on patients with acute ischemic stroke undergoing EVT were included. Patients with absent or mild white matter hyperintensities had higher good functional outcomes (odds ratio [OR], 2.94 [95% CI, 2.44–3.53];
P
<0.001) and lower mortality rate (OR, 0.42 [95% CI, 0.11–1.59];
P
<0.001), whereas the presence of cerebral microbleeds increased only the risk of 90‐day mortality (OR, 0.60 [95% CI, 0.44–0.83];
P
=0.002). Moreover, patients with moderate/severe CSVD burden had worse functional outcomes than those with none/mild CSVD burden (OR, 2.94 [95% CI, 2.44–3.53];
P
<0.001), but neither mortality nor symptomatic intracranial hemorrhage was significantly different between the 2 groups.

Conclusions

The existence of CSVD affected the outcomes of patients with acute ischemic stroke receiving EVT. Future multicenter prospective cohort studies with little heterogeneity should be prioritized to confirm our results.
Resilience and Nonideal Justice in Climate Loss and Damage Governance
Authors: Wallimann-Helmer Ivo
Published: August 2023

From a nonideal justice perspective, this article investigates liability and compensation in their wider theoretical context to better understand the governance of climate loss and damage under the United Nations Framework Convention on Climate Change (UNFCCC). The usual rationale for considering compensation takes a backward-looking understanding of responsibility. It links those causing harm directly to its remedy. This article shows that, under current political circumstances, it is more reasonable to understand responsibility as a forward-looking concept and thus to differentiate responsibilities on grounds of capacity and solidarity. The article argues that loss and damage entitlements in UNFCCC governance should be understood as entitlements to a threshold of capabilities for resilience. While compensation merely means redressing the situation ex ante a threat, entitlements to capabilities for resilience can entail more demanding responsibilities of support. This means that Article 8 of the Paris Agreement has much more demanding implications than it might at first appear.
Using a Drift Diffusion Model to Validate the Quantification of Style
Prototypicality as Assessed by the Viewers of Paintings
Authors: Ogata Shigen Fang , Tawatsuji Yoshimasa , Matsui Tatsunori
Published: August 2023

When appreciating a painting, people often classify it into a style. The extent to which the painting is regarded as a typical example of the style is called its style prototypicality. The authors propose a method of quantifying style prototypicalities and conduct an experiment to validate this method using the drift rate parameter of the drift diffusion model. This parameter is calculated using participants’ decision-making response times. The authors find a positive correlation (r = .88, p < .001) between the drift rates and the quantified prototypicalities for the paintings used in this study, confirming the psychological appropriateness of the proposed quantification method.
Touching Variables: Decolonial Approaches and New Tools for Ecological Data Visualization
Authors: Anania Katie , Stiglitz Cooper
Published: August 2023

In this article the authors activate decolonial feminist art history as a transdisciplinary protocol for organizing quantitative data. In foregrounding precolonial calculation tools as the basis for a new data visualization method, they present questions about how scientists might negotiate multiple interrelated variables in their research, opening more possibilities for narrating complex causes and effects of anthropogenic climate change and facilitating discussions about the relationship between climate change and settler-colonialism through visual means. While data science has historically prioritized Cartesian and Euclidean geometry as the most efficient tools for data visualization, the authors draw on Indigenous calculation tools that allow for more visual and semantic flexibility than the x-y axis.
Urban Intonation: Listening to the Rats of New York
City
Authors: House Brian
Published: August 2023

From urbanization to biomedical science, rats can be found in the foundations of modernity. Communicating ultrasonically above the ~20 kHz frequency limit of human hearing, rats are also well adapted for the human-built environment and its anthropogenic noise. For the sound installation Urban Intonation, the author recorded rats on the streets of New York City with an ultrasonic microphone and resampled and remixed the audio for playback over a human public address system. Repositioning rat sounds as something recognizable, if not intelligible, as speech prompts humans to reconsider their relationship to their oftreviled nonhuman cohabitants.
Between Motive and Result: Rethinking the Methods of Kant and Machiavelli in the Resolution of Moral Conflicts
Authors: Oyedola David A.
Published: August 2023

The study analyzes the importance which we attach to how moral conflicts are generated and resolved. It contrasts Machiavelli’s allusion to the attainment of a good result by using the method which could make the good result attainable, with Kant’s allusion to the motive behind human actions, where the motive dictates how moral conflicts are resolved. It posits that the methods adopted by Machiavelli and Kant in resolving moral conflicts differ. And that just as it may be difficult to accept the method adopted by Machiavelli because it could use a wrong method to resolve moral conflicts and possibly justify the rightness of the wrong method, the allusion of Kant to motive in the attempt to resolve moral conflicts cannot, also, be accepted because no moral agent has the moral capacity to predict or futurize the reason behind the motive of the action of others. It concedes that given these failings, Machiavelli’s method is more pragmatic or socially realistic than Kant’s allusion to the motive. This is because the Kantian motive is not as socially viable with many socio-political options to be made or opened to humans to accept as social agents. Thus, Machiavelli’s allusion to result is as a result of the philosophical import of his political or social orientation. The study adopts the methods of conceptual analysis and philosophical argumentation.
A new genus, Duffelsa gen. n., with descriptions of three new species and one new combination (Hemiptera: Cicadidae)
Authors: WANG JIALI , JIANG JINYUAN , WEI CONG
Published: August 2023

One new cicada genus, Duffelsa gen. n., is erected in the tribe Leptopsaltriini Moulton, 1923, with the designation of Pomponia orientalis (Distant, 1912) as the type species. Three new species, D. parvula sp. n., D. grandia sp. n. and D. rubida sp. n., are described from China. A key to species of Duffelsa gen. n. is provided. The relationship of this new genus to related taxa is discussed.
The Pacific Meridional Mode Influences ENSO by Inducing Springtime Near-Equatorial TCs in the Western North Pacific
Authors: Chu Qucheng , Lian Tao , Hu Ruikun , Feng Guolin , Chen Dake
Published: August 2023

Previous research has shown that tropical cyclones in the near-equatorial western North Pacific (NE-WNP TCs) in boreal spring are associated with the onset of El Niño–Southern Oscillation (ENSO). However, the cause of these TCs is unclear. Here, we find that the interannual activity of the springtime NE-WNP TCs is insensitive to the simultaneous ENSO intensity but is closely related to the springtime Pacific meridional mode (PMM). The lead–lag correlation between PMM and NE-WNP TCs is high from January to April, and the evolution of the SST anomaly associated with the NE-WNP TCs strongly manifests the seasonal footprint of the PMM. Analysis using AGCM experiments confirms that the positive PMM tends to reduce the vertical shear of zonal wind and sea level pressure and to increase vertical velocity in the middle atmosphere and surface humidity in the WNP. All of these conditions are favorable for NE-WNP TC genesis. We conducted CGCM experiments to validate that the NE-WNP TCs significantly influence ENSO development. A statistical regression model with respect to the impact of PMM on NE-WNP TCs and further on ENSO intensity was also conducted. The results imply that modulating the springtime NE-WNP TCs is another effective way in which the PMM influences ENSO.

Significance Statement

Some studies have found that springtime near-equatorial western North Pacific (NE-WNP) tropical cyclones (TCs) heavily impact ENSO development. Using observations and AGCM experiments, we showed that the genesis of these TCs is closely associated with the Pacific meridional mode (PMM), presumably because the PMM provides favorable conditions for TC genesis. We further showed that including the PMM-induced NE-WNP TCs in a CGCM leads to an El Niño–like response. The linkage between the PMM and NE-WNP TCs not only supplements the existing theories about tropical–subtropical interactions but also provides a new way to improve ENSO simulation and prediction.
Building a Workplace-Based Learning Culture: The “Receiver's” Perspective on Speaking Up
Authors: Barlow Melanie , Watson Bernadette , Jones Elizabeth , Morse Kate J. , Maccallum Fiona , Rudolph Jenny
Published: August 2023

Nurturing psychological safety has become a vital antidote to the psychological depletion driving clinicians from healthcare. How to support the clinician's voice, the question at the heart of this study, has never been more important. Here, we explore a hidden aspect of speaking up conversations, how “receivers” experience the dialog. If, when, and how clinicians take in clinically relevant concerns from others is crucial to patient safety. Yet we know little about how different forms of speaking up impact the receiver of the message. We found that receivers of the same message may respond quite differently depending on their professional identity, context, attributions they made, and how the message was phrased. Our findings suggest several actionable practices: (1) Shift the focus of speaking up to training the receiver; (2) frame speaking up as a shared accomplishment; (3) co-create contexts of shared accountability between the speaker and the receiver.
Does green credit really increase green technology innovation?
Authors: Lin Tao , Wu Wanwan , Du Mingyue , Ren Siyu , Huang Yangping , Cifuentes-Faura Javier
Published: August 2023

Considering China's green credit policy (GCP) as a quasi-natural experiment, this study discusses the effect of GCP on enterprise green innovation (GI) using a difference-in-difference method based on data from Chinese listed companies from 2009 to 2020. The results indicate that green credit enhances the strategic GI of heavy polluters while significantly inhibiting essential GI, thus suggesting the nonexistence of the Porter effect. In addition, the inhibition effect is attributed to an increase in financing constraints and a reduction in government subsidies, firm research and development investment, and employment scale. This disincentive effect is particularly pronounced in privately owned firms, small cities, and capital-intensive low-profitability firms. Resource misallocation caused by the GCP fails to stimulate the green transformation of heavily polluting industries through the Porter effect. Hence, governments should establish a diversified green financial system, integrate green venture capital and GI elements, and guide the flow of social capital toward green industries.
Measures Opposing Violence against Women during the COVID-19 Pandemic: Press Coverage in Argentina and Chile
Authors: Rein-Venegas Tatiana , Raquel Page-Poma Fernanda , Elizalde Roa María José , Sabrina Magnético Natalia
Published: August 2023

Analysis of the media coverage of the measures opposing violence against women adopted by the governments of Argentina and Chile during the COVID-19 pandemic reveals that it sensationalized the violence without providing any in-depth analysis of the situation or adopting an intersectional perspective.

Un análisis de la cobertura mediática en torno a las medidas para combatir la violencia contra las mujeres adoptadas por los gobiernos de Argentina y Chile durante la pandemia del COVID-19 revela que, si bien se sensacionalizó la violencia, esto se hizo sin profundizar en la situación o tomar una perspectiva interseccional.
New immigrant destinations and the role of the migration industry: Moving Filipino domestic workers to Mainland China
Authors: Chen Hui , Liu Yungang , Yeoh Brenda SA
Published: August 2023

In recent years, while scholarly work on new immigrant destinations (NIDs) within the United States and Europe has increased, little attention has been given the role and significance of the migration industry in promoting the emergence of NIDs. This is a particularly significant lacuna as some Asian nations are undergoing dramatic migration transition despite the lack of immigration regulatory infrastructure. In this context, focusing on the role of commercial intermediaries play in the formation of NIDs is an important perspective in understanding migration transition in Asia. Drawing on qualitative interviews with Filipino domestic workers and intermediaries, this paper analyzes how intermediaries promote Mainland China as a new destination for the Filipino domestic workers by creating a new promising market, border-crossing tactics, as well as managing migrant workers using training and control strategies at ground level.
Toward a Comprehensive, Data-Driven Model of American Political Goals: Recognizing the “Values” and “Vices” Within Both Liberalism and Conservativism
Authors: Wilkowski Benjamin M. , Rivera Emilio , Williamson Laverl Z. , DiMariano Erika , Meier Brian P. , Fetterman Adam
Published: August 2023

When a person indicates they are “liberal” or “conservative,” an important part of what they are communicating is their goals for how they would like society to be structured. However, past theories have described these goals in dramatically different fashions, suggesting that either conservativism or liberalism reflects a divisive or unifying goal. To help overcome this impasse, we systematically compared a broad, representative sample of all possible higher-order goals (drawn a previous lexical investigation of more than 1,000 goals) to the political ideology of American adults (total n = 1,588). The results of five studies suggested that proposals from competing theories are all partially correct. Conservativism simultaneously reflects the unifying “value” of Tradition, as well as the divisive “vice” of Elitism; while Liberalism simultaneously reflects the unifying “value” of Inclusiveness, and the divisive “vice” of Rebellion. These results help to integrate proposals from previous competing theories into a single framework.
Phase Structure and Resistance to Progressivity in Complaints Calls to the NHS
Authors: Benwell Bethan , Rhys Catrin
Published: August 2023

This paper examines how callers to an NHS complaints helpline get to “tell their story.” As project-based institutional calls, the closure of a complaints call is observably organized around “mutually ratified project completion.” Our analysis reveals the practices that callers deploy to resist call handlers' (CH) progress through the institutional phase structure of the call, thus also resisting ratification of their project as complete. We show how these practices are varyingly oriented to (re-)telling elements of the complaint or pursuing legitimation of their complaint and/or identity as “reasonable.” Callers’ resistance to institutional progressivity is oriented to misalignment in the prior uptake of their complaint narrative, revealing the relationship between projects and “identities” in the context of helpline interactions and the tension between the separate projects of caller and CH.
Perioperative intravenous Iloprost therapy in addition to percutaneous transluminal angioplasty improves patency for peripheral arterial occlusive disease
Authors: Deser Serkan Burc
Published: August 2023

Introduction: In this study, we aimed to evaluate and compare whether perioperative additional intravenous (IV) Iloprost therapy to percutaneous balloon angioplasty for peripheral arterial occlusive disease improves patency and reintervention.

Methods: Between January 2018 and August 2020, 183 patients underwent Percutaneous transluminal angioplasty (PTA) with Drug-Eluting Balloons (DEB) for femoropopliteal lesions (TASC 2 A-C) due to claudication, and 161 patients (133 male, 28 female, mean age 63.65 ± 11.16 years, range 30-86 years) were included in this study. The patients were divided into two groups as DEB+ Intravenous Iloprost administration and DEB alone. Primary patency, reintervention, bailout stenting, and survival rates were analyzed in this retrospective study.

Results: Primary patency rate at 12 months (79 vs 57 patients, 89.7 vs 78%, p = 0.041) and assisted primary patency rate (81 vs 59 patients, 92 vs 80.8%, p = 0.035) were found to be higher and Bailout stent deployment was lower in DEB + Iloprost group (3 vs 9 patients, 3.4 vs 12.3% p = 0.031). The reinterventions rate at 12 months was also lower among the DEB + Iloprost group (9 vs 16 patients, 10.2 vs 21.9%, p = 0.041).

Conclusion: The present study demonstrated that primary patency at 12 months and assisted primary patency rates, freedom from reintervention was significantly higher and bailout stenting was found to be significantly lower. We believe that perioperative Intravenous Iloprost therapy is beneficial for PTA and improves outcomes.