bluuebunny/crossref_metadata_2025 huggingface dataset:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Authors: Li Qian , Li Jianxin , Wang Lihong , Ji Cheng , Hei Yiming , Sheng Jiawei , Sun Qingyun , Xue Shan , Xie Pengtao
Published: January 2023

Event detection in power systems aims to identify triggers and event types, which helps relevant personnel respond to emergencies promptly and facilitates the optimization of power supply strategies. However, the limited length of short electrical record texts causes severe information sparsity, and numerous domain-specific terminologies of power systems makes it difficult to transfer knowledge from language models pre-trained on general-domain texts. Traditional event detection approaches primarily focus on the general domain and ignore these two problems in the power system domain. To address the above issues, we propose a
Multi-Channel graph neural network utilizing Type information for Event Detection
in power systems, named
MC-TED
, leveraging a semantic channel and a topological channel to enrich information interaction from short texts. Concretely, the semantic channel refines textual representations with semantic similarity, building the semantic information interaction among potential event-related words. The topological channel generates a relation-type-aware graph modeling word dependencies, and a word-type-aware graph integrating part-of-speech tags. To further reduce errors worsened by professional terminologies in type analysis, a type learning mechanism is designed for updating the representations of both the word type and relation type in the topological channel. In this way, the information sparsity and professional term occurrence problems can be alleviated by enabling interaction between topological and semantic information. Furthermore, to address the lack of labeled data in power systems, we built a Chinese event detection dataset based on electrical Power Event texts, named
PoE
. In experiments, our model achieves compelling results not only on the PoE dataset, but on general-domain event detection datasets including ACE 2005 and MAVEN.
Three-way Preference Completion via Preference Graph
Authors: Li Lei , Liu Zhiyuan , Zhang Zan , Chen Huanhuan , Wu Xindong
Published: January 2023

With the personal partial rankings from agents over a subset of alternatives, the goal of preference completion is to infer the agent’s personalized preference over all alternatives including those the agent has not yet handled from uncertain preference of third parties. By combining the partial rankings of the target agent and the partial rankings from third parties to settle some disagreement with three-way preference completion, which includes a general strategy, an optimal strategy, and a pessimistic strategy, it forms the weighted preference graph. Technically, to settle the disagreement and obtain the completed preference of the target agent in the weighted preference graph, maximum likelihood estimation (MLE) under Mallows is proposed and validated theoretically by removing edges with the minimum weight in the weighted preference graph. However, it is not easy to locate the edges with the minimum weight efficiently in a big graph. Hence, an optimal MLE algorithm and three greedy MLE algorithms are proposed to process the MLE. Furthermore, these proposed algorithms are experimentally validated and compared with each other by both the synthetic dataset and the Flixter dataset.
To PiM or Not to PiM
Authors: Falcao Gabriel , Ferreira João Dinis
Published: January 2023

As artificial intelligence becomes a pervasive tool for the billions of IoT (Internet of things) devices at the edge, the data movement bottleneck imposes severe limitations on the performance and autonomy of these systems. PiM (processing-in-memory) is emerging as a way of mitigating the data movement bottleneck while satisfying the stringent performance, energy efficiency, and accuracy requirements of edge imaging applications that rely on CNNs (convolutional neural networks).
Contrastive Graph Similarity Networks
Authors: Wang Luzhi , Zheng Yizhen , Jin Di , Li Fuyi , Qiao Yongliang , Pan Shirui
Published: January 2023

Graph similarity learning is a significant and fundamental issue in the theory and analysis of graphs, which has been applied in a variety of fields, including object tracking, recommender systems, similarity search, and so on. Recent methods for graph similarity learning that utilize deep learning typically share two deficiencies: (1) they leverage graph neural networks as backbones for learning graph representations but have not well captured the complex information inside data, and (2) they employ a cross-graph attention mechanism for graph similarity learning, which is computationally expensive. Taking these limitations into consideration, a method for graph similarity learning is devised in this study, namely, Contrastive Graph Similarity Network (CGSim). To enhance graph similarity learning, CGSim makes use of the complementary information of two input graphs and captures pairwise relations in a contrastive learning framework. By developing a dual contrastive learning module with a
node-graph matching
and a
graph-graph matching
mechanism, our method significantly reduces the quadratic time complexity for cross-graph interaction modeling to linear time complexity. Jointly learning in an end-to-end framework, the graph representation embedding module and the well-designed contrastive learning module can be beneficial to one another. A comprehensive series of experiments indicate that CGSim outperforms state-of-the-art baselines on six datasets and significantly reduces the computational cost, which demonstrates our CGSim model’s superiority over other baselines.
Development and Validation of Rapid Colorimetric Reverse Transcription Loop-Mediated Isothermal Amplification for Detection of Rift Valley Fever Virus
Authors: Wekesa Francis , Wamalwa Mark , Oduor Richard , Binepal Yatinder , Ateya Leonard , Okumu Noah , M’kwenda Angela , Masaba Christopher , Mukhaye Eugine
Published: January 2023

Rift Valley fever virus (RVFV) is a high-priority zoonotic pathogen with the ability to cause massive loss during its outbreak within a very short period of time. Lack of a highly sensitive, instant reading diagnostic method for RVFV, which is more suitable for on-site testing, is a big gap that needs to be addressed. The aim of this study was to develop a novel one-step reverse transcription loop-mediated isothermal amplification (RT-LAMP) method for the rapid detection of RVFV. To achieve this, the selected RVFV M segment nucleotide sequences were aligned using Multiple Sequence Comparison by Log-Expectation (MUSCLE) software in MEGA11 version 11.0.11 program to identify conserved regions. A 211 pb sequence was identified and six different primers to amplify it were designed using NEB LAMP Primer design tool version 1.1.0. The specificity of the designed primers was tested using primer BLAST, and a primer set, specific to RVFV and able to form a loop, was selected. In this study, we developed a single-tube test based on calorimetric RT-LAMP that enabled the visual detection of RVFV within 30 minutes at 65°C. Diagnostic sensitivity and specificity of the newly developed kit were compared with RVFV qRT-PCR, using total RNA samples extracted from 118 blood samples. The colorimetric RT-LAMP assay had a sensitivity of 98.36% and a specificity of 96.49%. The developed RT-LAMP was found to be tenfold more sensitive compared to the RVFV qRT-PCR assay commonly used in the confirmatory diagnosis of RVFV.
A New Approach to Noninvasive‐Prolonged Fatigue Identification Based on Surface EMG Time‐Frequency and Wavelet Features
Authors: Jamaluddin Fauzani N. , Ibrahim Fatimah , Ahmad Siti A.
Published: January 2023

In sports, fatigue management is vital as adequate rest builds strength and enhances performance, whereas inadequate rest exposes the body to prolonged fatigue (PF) or also known as overtraining. This paper presents PF identification and classification based on surface electromyography (EMG) signals. An experiment was performed on twenty participants to investigate the behaviour of surface EMG during the inception of PF. PF symptoms were induced in accord with a five‐day Bruce Protocol treadmill test on four lower extremity muscles: the biceps femoris (BF), rectus femoris (RF), vastus medialis (VM), and vastus lateralis (VL). The results demonstrate that the experiment successfully induces soreness, unexplained lethargy, and performance decrement and also indicate that the progression of PF can be observed based on changes in frequency features (ΔFmedand ΔFmean) and time features (ΔRMS and ΔMAV) of surface EMG. This study also demonstrates the ability of wavelet index features in PF identification. Using a naïve Bayes (NB) classifier exhibits the highest accuracy based on time and frequency features with 98% in distinguishing PF on RF, 94% on BF, 9% on VL, and 97% on VM. Thus, this study has positively indicated that surface EMG can be used in identifying the inception of PF. The implication of the findings is significant in sports to prevent a greater risk of PF.
Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure
Authors: Jing Wenjun , Zhang Juping , Zhang Xiaoqin
Published: January 2023

Population demography can change the network structure, which further plays an important role in the spreading of infectious disease. In this paper, we study the epidemic dynamics in temporal clustered networks where the local-world structure and clustering are incorporated into the attachment mechanism of new nodes. It is found that increasing the local-world size of new nodes has little influence on the clustering coefficient but increases the degree heterogeneity of networks. Besides, when the network evolves faster, increasing the local-world size of new nodes leads to a faster initial growth rate and a larger steady density of infectious nodes, while it has small impacts on the steady density of infectious disease when the network evolves slowly. Furthermore, if the average degree is fixed, increasing the probability of triad formation

p

enlarges the clustering coefficient of a network, which reduces the initial growth rate and steady density of infectious nodes in the network. This work could provide a theoretical foundation for the control of infectious disease.
Molecular Characterization and Epidemiology of Carbapenem-Resistant Enterobacteriaceae Isolated from Pediatric Patients in Guangzhou, Southern China
Authors: Gao Fei , Xiong Zhile , Liang Bingshao , Huang Zhenting , Deng Qiulian , Wang Jielin , Zhong Huamin , Long Yan , Zhu Sufei
Published: January 2023

Background. Carbapenem-resistant Enterobacteriaceae (CRE) are spreading worldwide, posing a serious public health concern. However, the data on CRE strains that cause infections in children in Guangzhou remain limited. Therefore, this study aimed to investigate the epidemiology of CRE, drug resistance, and resistance mechanisms in children in Guangzhou, Southern China. Methods. In total, 54 nonrepetitive CRE strains were collected in pediatric patients at three centers in Guangzhou, Southern China, from January 2016 to August 2018. CRE isolates were used for further studies on antimicrobial susceptibility, the modified Hodge test (MHT), the modified carbapenem inactivation method (mCIM), and drug resistance genes. Multilocus sequence typing (MLST) was used to elucidate the molecular epidemiology of K. pneumoniae. Results. The isolated CRE strains include 34 K. pneumoniae (63.0%), 10 E. coli (18.5%), 4 Enterobacter cloacae (7.4%), and 6 Proteus mirabilis (11.1%) strains. The strains were isolated mainly from the blood (31.5%, n = 17), sputum (31.5%, n = 17), and urine (16.7%, n = 9). All CRE isolates were highly resistant to the third- or fourth-generation cephalosporins, carbapenems, and β-lactam + β-lactamase inhibitors (94.4%–96.3%). In addition, the resistance rates to amikacin, ciprofloxacin, levofloxacin, tigecycline, and colistin were 5.6%, 14.8%, 16.7%, 9.3%, and 0%, respectively. Carbapenemase was detected in 35 (64.8%) of the CRE isolates. The most dominant carbapenemase gene was blaNDM (n = 17, 48.6%), followed by blaIMP (n = 13, 37.1%) and blaOXA-23 (n = 4, 11.4%). Other carbapenemase genes (blaKPC, blasim, blaAim, blaGES, blaGim, blaOXA-2, and blaOXA-48) and the mcr-1 gene were not detected. MLST analysis showed high diversity among the K. pneumoniae, and ST45 (11.7%, 4/34) was the dominant sequence type. Conclusion. This study revealed blaNDM was the most dominant carbapenemase gene in children in Guangzhou. Infection control measures need to be taken for the prevention and treatment of CRE infections.
Signal Processing with Machine Learning for Context Awareness in 5G Communication Technology
Authors: Mohandas R. , Lira James Luis Alberto Nunez , Gonzales Walter Edgar Gomez , Obaidi Riyadh A. L. , Ibraheem Ibraheem Kasim , Cotrina-Aliaga Juan Carlos , Shafi Jana , Pranesh K. A. , Alaric J. Sam
Published: January 2023

To meet users’ expectations for speed and reliability, 5th Generation (5G) networks and other forms of mobile communication of the future will need to be highly efficient, flexible, and nimble. Because of the expected density and complexity of 5G networks, sophisticated network control across all layers is essential. In this context, self-organizing network (SON) is among the essential solutions for managing the next generation of mobile communication networks. Self-optimization, self-configuration, and self-healing (SH) are typical SON functions. This research creates a framework for analyzing SH by exploring the impact of recovery measures taken in precarious stages of health. For this reason, our suggested architecture takes into account both detection and compensating operations. The system is broken down into some faulty states and the “fuzzy c-means” (FCM) approach is used to conduct the classifying. In the compensation process, the network is characterized as the Markov decision model (MDM), and the linear programming (LP) technique is implemented to find the most effective strategy for reaching a goal. Numerical findings acquired from a variety of situations with varying objectives show that the suggested method with optimized operations in the compensation stage exceeds the approach with randomly chosen actions.
Whole‐Transcriptome Sequencing Combined with High‐Dimensional Proteomic Technologies Reveals the Potential Value of miR‐135b‐5p as a Biomarker for Hepatocellular Carcinoma
Authors: Zhang Yushan , He Liangyu , Pan Lixin , Feng Chao , Wang Xi , Tao Yuting , Li Tianyu , Wang Qiuyan , Ullah Hanif
Published: January 2023

Purpose. Hepatocellular carcinoma (HCC) is a disease with great heterogeneity and a high mortality rate. It is crucial to identify reliable biomarkers for diagnosis, prognosis, and treatment to improve clinical outcomes in patients with HCC. Alpha‐fetoprotein (AFP) is not only a widely used biomarker in clinical practice but also plays a complicated role in HCC, and it has recently been considered to be related to immunotherapy. MicroRNAs (miRNAs) are regarded as key regulators and promising biomarkers of HCC. We investigated the role of an AFP‐related miRNA, miR‐135b‐5p, in HCC progression. Methods. Identification of miR‐135b‐5p was performed based on a cohort of 65 HCC cases and the liver hepatocellular carcinoma cohort of The Cancer Genome Atlas (Asian people only). A combination of whole‐transcriptome sequencing and high‐dimensional proteomic technologies was used to study the role of miR‐135b‐5p in HCC. Results. Upregulation of miR‐135b‐5p was detected in patients with HCC with high serum AFP levels (AFP > 400 ng/ml). Elevated miR‐135b‐5p expression was associated with adverse prognosis. We also identified the relevance between high miR‐135b‐5p expression and tumor‐related pathological characteristics, such as Edmondson grade and vascular invasion. We revealed tyrosine kinase nonreceptor 1 as a potential target of miR‐135b‐5p. Additionally, the transcriptional start site of miR‐135b‐5p had potential binding sites for SRY‐box transcription factor 9, and the stemness properties of tumor cells were more remarkable in HCC with the upregulation of miR‐135b‐5p. The molecular characterization of the miR‐135b‐5p‐high group was similar to that of the HCC subclasses containing moderately and poorly differentiated tumors. Finally, gene signatures associated with improved clinical outcomes in immune checkpoint inhibitor therapy were upregulated in the miR‐135b‐5p‐high group. Conclusion. miR‐135b‐5p could be a biomarker for predicting the prognosis and antiprogrammed cell death protein 1 monotherapy response in HCC.
Reproducibility of the CROSS Trial Results in the Multimodal Treatment of Esophageal Cancer in Daily Practice: A Single Center Retrospective Observational Study
Authors: Appius H. , Hafer J. , Harms W. , Bolli M. , Buess M.
Published: January 2023

Background. Treatment of nonmetastatic esophageal cancer with curative intention remains a major challenge. Neoadjuvant radiochemotherapy followed by surgery, as described in the CROSS trial in 2012, has been established as a standard of care. With this retrospective observational study, we aimed to analyze the results of the CROSS regimen in daily practice over the last 10 years at the St. Clara Hospital, a Swiss center for esophageal surgery. Methods. To determine the clinical outcome in our daily practice, the medical records of all patients with potentially curable localized esophageal cancer (T1N1 or T2-3N0-1 M0) treated with radiochemotherapy in neoadjuvant intention according to the CROSS regimen were reviewed. The primary endpoint was overall survival. Furthermore, an overall survival analysis of the subgroups of patients who exactly met the inclusion criteria of the CROSS trial with respect to age and weight loss before therapy was performed. The Kaplan–Meier method was used to estimate survival and compared by the log-rank test. Results. From January 2012 to January 2022, 91 patients with T1N1 or T2-3N0-1M0 esophageal cancer underwent neoadjuvant radiochemotherapy according to the CROSS regimen. The median age was 70 years (range 31–86 years), and 26 (29%) patients were over 75 years of age. Weight loss of more than 10% was observed in 23 (25%) patients. 77 (85%) patients underwent esophagectomy, and complete resection (R0) was obtained in 73 (95%) of them. The median overall survival was 41 months, compared to 49.4 months in the CROSS trial. The overall survival rate at 12 months was 85% and at 24 months, it was 68%, very similar to the CROSS trial results. 51% of the patients fully met the inclusion criteria of the CROSS trial with respect to age and pretherapeutic weight loss. Their overall survival rate at 12 months was 94% at St. Clara Hospital versus 82% in the CROSS trial (

p
=
0.04

), and at 24 months, 81% versus 67% (

p
=
0.05

). Conclusion. Overall, in a center specialized for the multimodal treatment of nonmetastatic esophageal cancer, the results of the CROSS trial seem to be well reproducible in daily practice.
pMATE: A Privacy-Preserving Map Retrieval Task Assignment Scheme in Spatial Crowdsourcing
Authors: He Peicong , Xin Yang , Li Zhengwen , Yang Yixian
Published: January 2023

Spatial crowdsourcing (SC) task assignment is to find the optimal worker for the task from abundant alternative workers based on the information of the task and workers, such as location, time, and ability. This information will undoubtedly reveal the privacy of both the task and workers. The disclosure of private information is a crucial issue constraining the development of SC. To this end, various privacy-preserving task assignments have been proposed to protect privacy by obfuscating or encrypting information. Fuzzy processing will limit matching accuracy, while encrypted information will increase the time cost of data computation. Therefore, this paper proposes a privacy-preserving map retrieval task assignment scheme (pMATE), which can divide the map and accurately retrieve the optimal workers according to this division. In pMATE, relevant information about tasks and workers is encrypted, and neighboring workers are searched based on the task presence partition. The task location can also be hidden in that partition. Partitioned retrieval reduces the amount of encrypted data needed to be matched. Furthermore, to reduce the problem of multiple communications during encrypted data comparison, we propose the Find MinNumber (FMN) algorithm, which can determine the optimal worker or top-k optimal workers need only two communications. Experimental evaluations of real-world data show that pMATE is efficient and accurate.
CEACAM1 Marks Highly Suppressive Intratumoral Regulatory T Cells for Targeted Depletion Therapy
Authors: Jeon Seung Hyuck , Kang Minyong , Jeon Minwoo , Chung Youseung , Kim A Reum , Lee Yong Joon , Kim Eui-Soon , Nam Heejin , Park Junsik , Lee Jung-Yun , Shin Eui-Cheol , Seo Seong Il , Park Su-Hyung
Published: January 2023

Purpose:

Regulatory T cells (Tregs) exert immunosuppressive functions and hamper antitumor immune responses in the tumor microenvironment. Understanding the heterogeneity of intratumoral Tregs, and how it changes with tumor progression, will provide clues regarding novel target molecules of Treg-directed therapies.

Experimental Design:

From 42 patients with renal cell carcinoma and 5 patients with ovarian cancer, immune cells from tumor and peripheral blood were isolated. We performed multicolor flow cytometry and RNA-sequencing to characterize the phenotypes and heterogeneity of intratumoral Tregs. In vitro functional assays were performed to evaluate suppressive capacity of Tregs and effect of carcinoembryonic antigen-related cell adhesion molecule 1 (CEACAM1)-mediated depletion. The CT26 tumor model was used to evaluate the association between intratumoral Tregs and tumor growth, and examine the in vivo role of CEACAM1+ intratumoral Tregs on antitumor immunity.

Results:

We found that CEACAM1 was selectively expressed on intratumoral Tregs, whereas its expression on peripheral Tregs or other immune cells was low. The CEACAM1+ intratumoral Tregs accumulated with tumor progression, whereas the CEACAM1− subset did not. Notably, we found that CEACAM1 marked intratumoral Tregs that exhibited highly suppressive and activated phenotypes with substantial clonal expansion. Depletion of CEACAM1-expressing cells from tumor-infiltrating leukocytes led to increased effector functions of tumor-infiltrating T cells. Moreover, CEACAM1+ cell depletion further enhanced anti-PD-1–mediated reinvigoration of exhausted CD8+ T cells.

Conclusions:

CEACAM1 marks highly suppressive subset of intratumoral Tregs, and can be a target for selective depletion of intratumoral Tregs. These results may inform future studies on CEACAM1-mediated depletion in patients with cancer.
Cardiovascular Complications of Down Syndrome: Scoping Review and Expert Consensus
Authors: Dimopoulos Konstantinos , Constantine Andrew , Clift Paul , Condliffe Robin , Moledina Shahin , Jansen Katrijn , Inuzuka Ryo , Veldtman Gruschen R. , Cua Clifford L. , Tay Edgar Lik Wui , Opotowsky Alexander R. , Giannakoulas George , Alonso-Gonzalez Rafael , Cordina Rachael , Capone George , Namuyonga Judith , Scott Charmaine H. , D’Alto Michele , Gamero Francisco J. , Chicoine Brian , Gu Hong , Limsuwan Alisa , Majekodunmi Tosin , Budts Werner , Coghlan Gerry , Broberg Craig S. , Dimopoulos Konstantinos , Constantine Andrew , Clift Paul , Condliffe Robin , Moledina Shahin , Jansen Katrijn
Published: January 2023

Cardiovascular disease is a leading cause of morbidity and mortality in individuals with Down syndrome. Congenital heart disease is the most common cardiovascular condition in this group, present in up to 50% of people with Down syndrome and contributing to poor outcomes. Additional factors contributing to cardiovascular outcomes include pulmonary hypertension; coexistent pulmonary, endocrine, and metabolic diseases; and risk factors for atherosclerotic disease. Moreover, disparities in the cardiovascular care of people with Down syndrome compared with the general population, which vary across different geographies and health care systems, further contribute to cardiovascular mortality; this issue is often overlooked by the wider medical community. This review focuses on the diagnosis, prevalence, and management of cardiovascular disease encountered in people with Down syndrome and summarizes available evidence in 10 key areas relating to Down syndrome and cardiac disease, from prenatal diagnosis to disparities in care in areas of differing resource availability. All specialists and nonspecialist clinicians providing care for people with Down syndrome should be aware of best clinical practice in all aspects of care of this distinct population.
The “Innards” in the Psalms and Job as Metaphors for Illness
Authors: Southwood Katherine
Published: January 2023

This article explores body and illness metaphors in the Psalms and Job. Specifically, it focuses on the various terms pertaining to the “innards” or “internal organs” of the human body. Although myriad terms for internal organs exist, the terms קֶרֶב and מֵעֶה are the particular focus of this article. Interestingly, a link between discourse and digestion emerges in the metaphors from both Job and the Psalms. However, in Job a language for pain emerges which is disturbing and anthropomorphic, regularly depicting an attacking deity. In contrast, in the examples from the Psalms, tend to make a clearer distinction between the righteous and the wicked. In both cases, however, the body and metaphors connected to it are tightly bound up with what is social. The body is portrayed as an ever-interpreted entity and the actions and reactions of the community are all-important.
Tillandsia bernalensis (Tillandsioideae; Bromeliaceae), a new species from the state of Querétaro, Mexico
Authors: HERNÁNDEZ-CÁRDENAS RODRIGO ALEJANDRO , ESPEJO-SERNA ADOLFO , LÓPEZ-FERRARI ANA ROSA , HERNÁNDEZ-SANDOVAL LUIS
Published: January 2023

Tillandsia bernalensis, a new species from the state of Querétaro, Mexico, is described and illustrated. The proposed species is compared to T. parryi, T. suesilliae and T. tonalaensis, taxa with some similarities. Images and a distribution map of the four species are included.
Quantifying the Relationship between Embedded Rotation and Extreme Rainfall Rates in Observations of Tropical Storm Imelda (2019)
Authors: Mazurek Alexandra C. , Schumacher Russ S.
Published: January 2023

Previous work on continental convective systems has indicated that there is a positive relationship between short-term rainfall rates and storm-scale to mesoscale rotation. However, little has been done to explore this relationship in dense observing networks or in landfalling tropical cyclone (LTC) environments. In an effort to quantify the relationship between rainfall rates and embedded rotation of this scale, we use several sets of observations that were collected during Tropical Storm Imelda (2019). First, a meteorological overview of the event is presented, and the ingredients that led to its flash flood–producing rainfall are discussed. Then, two analyses that investigate the relationship between rainfall rates and storm-scale to mesoscale rotation in the LTC remnants are examined. The first method relies on products from the Multi-Radar Multi-Sensor system, where two spatial averaging approaches are applied to the 0–2-km accumulated rotation track and gauge bias-corrected quantitative precipitation estimate products over hourly time periods. Using these fields as proxies for rotation and rain rates, the results show a positive spatiotemporal relationship between the two products. The second method time matches subjectively identified radar-based rotation and 5-min surface rain gauge observations. There, we show that nearly twice the amount of rain was recorded by the gauges when storm-scale to mesoscale rotation was present nearby, and the differences in 5-min rainfall observations between when rotation was present versus not was statistically significant. Together, these results indicate that more rain tended to fall in locations where there was rotation embedded in the system.

Significance Statement

Tornadoes and flash floods frequently occur in unison over the same locations, which can complicate forecasting, warning, and communication efforts within the meteorology community. Previous work has furthered the understanding of the interconnectedness of these hazards by suggesting a relationship between two of their predecessors: storm rotation and rainfall rates. We build on this research by quantifying the relationship of these two processes using observations from Tropical Storm Imelda: a system that brought devastating flooding to southeast Texas in September 2019. Our results show across multiple observational datasets that more rain tended to fall in locations where there was rotation embedded in the tropical storm remnants.
Thermodynamic Contribution to Vortex Alignment and Rapid Intensification of Hurricane Sally (2020)
Authors: Stone Željka , Alvey G. R. , Dunion J. P. , Fischer M. S. , Raymond D. J. , Rogers R. F. , Sentić S. , Zawislak J.
Published: January 2023

As a part of the Tropical Cyclone Rapid Intensification Project (TCRI), observations were made of the rapid intensification of Hurricane Sally (2020) as it passed over the Gulf of Mexico. High-altitude dropsondes and radar observations from NOAA’s Gulfstream IV, radar observations from WP-3D aircraft, the WSR-88D ground radar network, satellite images, and satellite-detected lightning strikes are used to apply recently developed theoretical knowledge about tropical cyclone intensification. As observed in many other tropical cyclones, strong, bottom-heavy vertical mass flux profiles are correlated with low (but positive) values of low- to midlevel moist convective instability along with high column relative humidity. Such mass flux profiles produce rapid spinup at low levels and the environmental conditions giving rise to them are associated with an intense midlevel vortex. This low-level spinup underneath the midlevel vortex results in the vertical alignment of the vortex column, which is a key step in the rapid intensification process. In the case of Sally, the spinup of the low-level vortex resulted from vorticity stretching, while the spinup of the midlevel vortex at 6 km resulted from vorticity tilting produced by the interaction of convective ascent with moderate vertical shear.

Significance Statement

The purpose of this study is to investigate the rapid intensification of Hurricane Sally as it was approaching the Florida Panhandle. We do that by analyzing an unprecedented dataset from the NOAA WP-3D and Gulfstream-IV aircraft, together with ground-based radar and satellite data. We find that both the dynamics (vorticity structure and evolution) and thermodynamics (instability index, saturation fraction, heating/mass flux profiles) need to be considered in diagnosing intensification processes. Further field projects with continuous high-altitude dropsondes and research are needed to see if these are applicable to other reformation events as well as genesis.
Big data, big problems: Why scientists should refrain from using Google Trends
Authors: Franzén Alexandra
Published: January 2023

Google Trends has for over a decade been used by researchers in medicine and the social sciences who want to use information about internet searches to gain new data and insights concerning medical and social issues. A similar tool by the same company, Google Flu Trends, was abolished by Google in 2015 due to serious problems with accuracy; raising larger questions about the quality of the data provided, not only by Google, but by all platforms collecting big data. In this article, I use an unplanned experiment to test the reliability and replicability of Google Trends. The results strongly indicate that scientists in all fields should refrain from using the tool Google Trends when conducting research.
Travelers’ Psychological Ownership: A Systematic Review and Future Research Agenda
Authors: Lyu Cenhua , Jiang Yangyang , Balaji M. S.
Published: January 2023

Scholarly interest in research on travelers’ psychological ownership has recently increased given its relationship with traveler behavior. This study provides a systematic literature review centered on travelers’ psychological ownership, thus organizing extant work and developing guidelines for future research. We employ bibliometric analysis to reveal current research progress in the domain, acknowledge influential contributions, and identify major research streams. Then we use framework-based thematic analysis and develop a Targets-Antecedents-Consequences-Interventions (TACI) framework to explore the theoretical underpinning of travelers’ psychological ownership, yielding structural insights and knowledge gaps. Based on our review, we develop 18 propositions to guide future research. The findings provide academics with a roadmap to advance research on travelers’ psychological ownership.
Anti-packet loss collaborative filtering trajectory prediction of maneuvering target realistic true proportional navigation law interception guidance law
Authors: Li Jiguang , Xie Mingyang , Li Wei , Huang Liang , Dong Yanfei , Zhu Yi
Published: January 2023

In this paper, a realistic true proportional navigation (RTPN) law–guided interception method was designed based on anti-packet loss collaborative filtering track prediction, which solves the problems that traditional RTPN method not considers the interceptor saturation overload limit and the determination of the acquisition area of any maneuvering target. First, a distributed cooperative filtering algorithm is formulated to improve accuracy and robustness of data fusion caused by the measurement error of target trajectory and the packet loss of cooperative detection data in the process of interception. Then, a track prediction algorithm is proposed to improve the data transmission and the dynamic response delay of the interceptor itself. Finally, the simulation results are performed to illustrate the effectiveness of the developed approach.
Surrounding rock activity law and support optimization of double flexible formwork wall gob-side entry retention in stratified mining coal seams
Authors: Cao Xiaofan , Wang Xiaoli , Zhang Zhiqiang , Zhao Haoliang , Wang Song , Cao Xinyun , Liu Mingxing
Published: January 2023

To ensure gas control in the layered mining of extra-thick coal seams in Baijigou Coal Mine—in addition to reducing the loss of coal resources and amount of roadway driving—this article proposes the gob-side entry retention technology of flexible formwork concrete, and retains the 010202 working face four-layered return air roadway as the 010203 working face gas drainage lane. By combining theory and field practice, a flexible formwork concrete wall + anchor cable joint support scheme is proposed to strengthen small coal pillars. Further, the design scheme for the aforementioned framework at the bottom of the layered mining region of an extra-thick coal seam is proposed. Then, field tests are carried out, and the surrounding rock activity law of the double flexible formwork wall entry retention in a layered mining coal seam is obtained. The results show that (i) 010202 the whole process of overburden collapse to stability at the stratified mining face is completed 60--200 m behind the face and (ii) the roadway deformation of the extra-thick coal seam in the Baijigou Coal mine can be divided into four stages, and the mining pressure of the gas drainage roadway basically presents a dynamic change of “pressurized stage – peak stage – stabilized pressure stage”. Based on this, three mechanical stages of roadway deformation are derived: (1) δz< Nmz<< Nwz; (2) Nmz < δz << Nwz; and (3) Nmz < δz< Nwz. Three repeated mining support optimization schemes are provided, one for each stage. Finally, the deformation and damage of the surrounding rock are effectively controlled, and the requirement that the gas drainage roadway is still intact under the influence of the 010203 working face mining is realized. This study has certain reference significance for gob-side entry retention in the bottom layer of stratified mining in extra-thick coal seams.
Factors Influencing Frontline Screening Nurses’ Depression as a Long-Term Impact of COVID-19
Authors: Song Min-Sun , Park Sung Suk , Park Soohyun
Published: January 2023

Frontline screening nurses experienced exhaustion and depressive symptoms as a long-term impact of COVID-19. This study aimed to explore fatigue, depression, and empowerment among frontline screening nurses and examine the factors influencing depression. This was a descriptive cross-sectional study. The study included 140 frontline screening nurses in South Korea recruited from February to March 2021. The measures included a fatigue scale, the Text of Items Measuring Empowerment (TIME), and the Center for Epidemiological Studies Depression Scale (CES-D). The STROBE checklist was used for reporting aspects of the cross-sectional design. Frontline screening nurses showed high fatigue scores ( M = 3.47, SD = 0.55), and 55.7% ( n = 78) of them were depressed and had low empowerment scores ( M = 3.53, SD = 0.69). Empowerment and fatigue were predictors of depression. Increased empowerment and decreased fatigue were important in decreasing depression. Therefore, efforts to provide sufficient staffing, screening for depression, and listening to nurses’ voices are necessary.
Neoliberal multiculturalism in Dallas: The discursive foundations of diversity-led gentrification in an aspiring U.S. global city
Authors: Kirk Richard
Published: January 2023

This article investigates the relationship between neoliberal multiculturalism and gentrification using a case study of the forthcoming Dallas International District. Informed by a conceptual framework considering neoliberal urbanism, the (aspiring) global city, and racial–ethnic identity, this article attempts to reveal the dominant discourses that lay the foundation for gentrification in the Dallas International District, an urban renewal project planned to be built atop a former freedmen's town. Rather than investigating gentrification after it has taken root in a specific location, this work investigates the discursive foundations of gentrification before it takes hold. This is accomplished through a discourse analysis of interviews with Dallas public officials, developers, and community members, as well as web sources. On the basis of these data, it is concluded that plans to redevelop the area foreshadow the gentrification of an existing Black and Latino population and that this planned gentrification is permeated by neoliberal discourses about multiculturalism that are entrenched in Dallas’ desires to transform itself into a global, world-class city.
The development of a creative work rehabilitation organisation
Authors: Leach Jonathan , Agulnik Peter , Armstrong Neil
Published: January 2023

Work as therapy has a place in mental healthcare, but there is disagreement about how and why it might be helpful, and how best to conceptualise or represent those benefits. Over the last 50 years, occupational and industrial therapy sheltered workshops have been key elements in the provision of work activities in psychiatric settings, and community-based horticultural activities and creative craft work have offered additional approaches. Using archival material, interviews, witness seminars and personal reflections, this article charts the birth and initial growth of Restore, a charity providing creative work-based services in Oxfordshire between 1977 and 1988. Although Restore might be understood as a response to national trends in mental healthcare policy and research, its trajectory reflects local contingencies.
Analysis of the environmental impacts of the agricultural, industrial, and financial sectors in Malaysia
Authors: Ehigiamusoe Kizito Uyi , Lean Hooi Hooi , Somasundram Sotheeswari
Published: January 2023

The mounting level of environmental degradation in Malaysia constitutes a grave issue to analysts and policymakers because it has adverse impact on climate change and human lives. This study is motivated by the dearth of a comprehensive research on the environmental impact of sectoral growth. It focuses on sectoral growth because of the need to strike a balance between the economic and environmental impacts of the agricultural, industrial, and financial sectors in Malaysia. Therefore, this study analyses the environmental impacts of the agricultural, industrial, and financial sectors in Malaysia during 1980–2018. It uses ecological footprint and carbon emissions as indicators of environmental degradation to properly capture various aspects of environmental degradation. It employs the Environmental Kuznets Curve (EKC) model and Autoregressive Distributed Lag (ARDL) procedure. This study contributes to the extant literature by showing that the agricultural, industrial, and market-based financial sectors aggravate carbon emissions while the bank-based financial sector mitigates carbon emissions in Malaysia. However, the impacts of the agricultural, industrial, and financial sectors on ecological footprint are tenuous. Though the EKC hypothesis is verified, energy consumption worsens ecological footprint and carbon emissions. The findings are robust to structural breaks and satisfactory diagnostic tests. This study implies that the agricultural, industrial, and financial sectors are significant determinants of carbon emissions. Since Malaysia cannot afford to sacrifice sectoral development for environmental sustainability, it is necessary for stakeholders to embrace environmental-friendly techniques that can boost sectoral development without compromising environmental quality.
The social policy preferences of EU employers’ organizations: An exploratory analysis
Authors: Guardiancich Igor , Terlizzi Andrea , Natali David
Published: January 2023

Despite decades of European social dialogue, little is known about the social policy preferences of EU employers’ organizations (EEOs). Building on the literature on industrial relations and the role of business in welfare state development, this article explores the preferences of key EEOs (BusinessEurope, SGI Europe and SMEunited) in vocational education and training (VET), active and passive labour market policies, pensions and work–family reconciliation. Software-based qualitative content analysis of 75 position papers and 19 joint declarations, triangulated with four elite semi-structured interviews, is employed to assess employers’ preferences along four national and two European dimensions. Largely in line with the power resources theory, EEOs favour cost containment and social investment, by strengthening labour market flexicurity and reducing skills mismatches through VET. Conflicting logics of membership and influence guide the actions of EEOs: members are wary of legislation impinging on national social policy traditions; yet, greater European assertiveness makes lobbying efforts unavoidable.
Primary Pure Intrarenal Yolk Sac Tumor in 1.5-Year-Old Boy—A Rare Case Report
Authors: Qayoom Sumaira , Shabbir Nida , Singhai Atin , Verma Nishant , Rawat Shalini
Published: January 2023

Germ cell tumors primarily arise in gonads and extragonadal germ cell tumors, an uncommon entity, originates usually along the midline. Here, we report the fifth example of intrarenal pure yolk sac tumor in a 1.5-year-old boy who presented with abdominal pain and underwent excision of the mass for suspected Wilms tumor. On histopathology and immunohistochemistry, a diagnosis of a yolk sac tumor was rendered. Postoperative serum alpha–fetoprotein levels were 21 000 ng/dl. The purpose of this report is to emphasize the importance of suspecting a germ cell tumor as one of the differential diagnoses of a suspected case of Wilms tumor and the significance of evaluating serum alpha–fetoprotein levels preoperatively.
Understanding Physical Distancing and Face Mask Use Across High-Risk African American Subgroups During the COVID-19 Pandemic: Application of Health Belief Model
Authors: Moss Jamal , Alexander Leah , Barré Iman , Parham Imari , Gillyard Taneisha , Davis Jamaine , Cunningham-Erves Jennifer
Published: January 2023

Physical distancing and face masks remain frontline prevention strategies due to suboptimal vaccine uptake and the highly infectious COVID-19 variants. Communities of color are disproportionately impacted by a chronic disease burden that places them at higher risk of severe COVID-19 disease. Therefore, they can greatly benefit from face mask use and physical distancing, especially if the individual(s) have not received the vaccine. We applied the Health Belief Model to explore barriers and motivators influencing physical distancing and face mask use among high-risk, Black American subgroups during the early COVID-19 pandemic stages. We conducted 62 semi-structured interviews among four Black American subgroups: young adults, individuals with underlying medical conditions, essential workers, and parents. Thematic analysis, guided by the Health Belief Model, yielded six themes: (1) Knowledge on Face Mask Use and Physical Distancing, (2) Perceived Susceptibility and Severity Varies by Subgroup, (3) Experience with and Perceived Self-Efficacy to Engage in Preventive Behavior, (4) Perceived Benefits to engaging in preventive behaviors, (5) Perceived Barriers to engage in preventive behaviors, and (6) Cues to action to increase participation. Each subgroup’s unique experience informed multilevel, tailored approaches that can be used by health promotion practitioners to improve face mask use and physical distancing among uniquely vulnerable Black American subgroups in the current and future pandemic.
The relevance of familiarity in the context of self-related information processing
Authors: Amodeo Letizia , Nijhof Annabel D , Brass Marcel , Wiersema Jan R
Published: January 2023

Humans are inclined to preferentially process self-related content, referred to as the “self-bias.” Different paradigms have been used to study this effect. However, not all paradigms included a familiar other condition (but rather an unfamiliar other condition), needed to differentiate self-specific effects from the impact of familiarity. The primary goal of our study was to test the suitability for studying the self-bias of two paradigms that provide robust measures of salience effects—that is, the Repetition Blindness (RB) effect and the Emotional Stroop (ES) interference—while addressing the familiarity confound. We further explored whether self-bias effects were related to autism symptomatology, as a reduced self-bias in autism has been reported in previous research. In an online procedure, 82 adults performed an RB task and an ES task in a counterbalanced order, while being presented with both self- and familiar other-related stimuli. Results of both frequentist and Bayesian analyses did not provide evidence in favour of a specific self-bias on either task: we found no significant modulation of the RB effect, nor of the ES interference, for the own versus a close other’s name. Moreover, no link with autism symptomatology was found. Tackling a crucial shortcoming from earlier studies, our investigation raises awareness on the importance of accounting for familiarity when investigating self-related processing.