bluuebunny/crossref_metadata_2025 huggingface dataset:
Do roads affect the abundance of garter (Thamnophis sirtalis) and redbelly snakes (Storeria occipitomaculata)?
Authors: Gigeroff Andrea E.S. , Blouin-Demers Gabriel
Published: February 2023

The greatest driver of the current biodiversity crisis is habitat loss. Roads are a major contributor to habitat loss because they destroy and fragment habitat, in addition to causing direct mortality. Animals may respond to roads either by avoiding them, thus leading to population isolation, or by attempting to cross them, thus potentially leading to increased mortality and, if so, also to population isolation. We studied the impact of road density on abundance of two snake species: redbelly snakes ( Storeria occipitomaculata Storer, 1839) and garter snakes ( Thamnophis sirtalis Linnaeus, 1758) around Ottawa, Canada. We hypothesized that roads are detrimental to snake populations due to road avoidance and mortality. Therefore, we predicted that snakes should be less abundant at sites with higher road density in their surroundings. We deployed cover boards at 28 sites along a gradient of road density in 2020 and 2021. We visited sites weekly, counted the number of individuals of both species, and measured snout–vent length (SVL) of all individuals captured. We captured fewer garter snakes at sites surrounded by more roads and fewer redbelly snakes at sites surrounded by more urban habitat. Snakes at sites surrounded by more roads were not smaller. The effects of roads and urbanization on the number of snakes were modest, but indicate decreasing population sizes that could lead to loss of ecological function.
Knowledge Sharing in Health Community of Practice (CoP) and Online Health Communities (OHCs): A Bibliometric Analysis
Authors: Fauzi Muhammad Ashraf
Published: February 2023

This study aims to provide a scientific mapping based on a bibliographic database of knowledge sharing in the health community of practice (CoP) and online health communities (OHCs). These online platforms have provided an efficient means for members to share best practices, expertise, and information on health-related matters and acquire knowledge in the fast-moving health and medical field. Applying a bibliometric method, this study contributes to the body of knowledge concerning health CoP function, capacity, and contribution. This study tends to uncover past themes (citation analysis), current themes (co-citation analysis), and predict trends (co-word analysis) on health CoP and OHCs perspectives. Findings indicate the imperative role of CoP in the field, mainly due to the rapid development of sophisticated tacit knowledge on complicated health issues and unpredictable diseases affecting public health. Implications on theory and managerial aspect to strengthen the function of CoP in providing optimum health service to the public is discussed.
Short Text Classification of Chinese with Label Information Assisting
Authors: Xu Qianqian , Peng Junjie , Zheng Cangzhi , Tan Shuhua , Yi Fen , Cheng Feng
Published: February 2023

As a common language form in oral communication, short text is hard to be used in the applications such as intent understanding, text classification and so on due to its limited content and information, as well as irregular expression and missing components. To increase the availability of short texts in real applications, we propose a Label Information Assisting-based Model (LIAM) for Chinese short text classification. In the model, we jointly use sentence-level features and word-level features to reduce text information loss. And the sentence-level features are fused with relevant label information by the Label Information Extending and Fusion (LIEF) module while the word-level features are also enhanced with assistance of relevant label information. By utilizing the text-related information from labels as extended information, the model enriches and enhances the features of short text, benefiting classification. To verify the correctness and effectiveness of the proposed method, we conduct extensive experiments on four Chinese datasets and six sub-datasets with different models. The experimental results show that LIAM presented can effectively enrich information for text and much improve the performance of short text classification. It performs much better than other methods do. What is more, the less the training set, the greater the advantages of the model.
Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers’ Spatial-Temporal Behaviors
Authors: Wen Haomin , Lin Youfang , Wu Fan , Wan Huaiyu , Sun Zhongxiang , Cai Tianyue , Liu Hongyu , Guo Shengnan , Zheng Jianbin , Song Chao , Wu Lixia
Published: February 2023

In intelligent logistics systems, predicting the Estimated Time of Pick-up Arrival (ETPA) of packages is a crucial task, which aims to predict the courier’s arrival time to all the unpicked-up packages at any time. Accurate prediction of ETPA can help systems alleviate customers’ waiting anxiety and improve their experience. We identify three main challenges of this problem. First, unlike the travel time estimation problem in other fields like ride-hailing, the ETPA task is distinctively a multi-destination and path-free prediction problem. Second, an intuitive idea for solving ETPA is to predict the pick-up route and then the time in two stages. However, it is difficult to accurately and efficiently predict couriers’ future routes in the route prediction step since their behaviors are affected by multiple complex factors. Third, furthermore, in the time prediction step, the requirement for providing a courier’s all unpicked-up packages’ ETPA at once in real time makes the problem even more challenging. To tackle the preceding challenges, we propose RankETPA, which integrates the route inference into the ETPA prediction. First, a learning-based pick-up route predictor is designed to learn the route-ranking strategies of couriers from their massive spatial-temporal behaviors. Then, a spatial-temporal attention-based arrival time predictor is designed for real-time ETPA inference via capturing the spatial-temporal correlations between the unpicked-up packages. Extensive experiments on two real-world datasets and a synthetic dataset demonstrate that RankETPA achieves significant performance improvement against the baseline models.
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications
Authors: Tian Yongqiang , Zhang Wuqi , Wen Ming , Cheung Shing-Chi , Sun Chengnian , Ma Shiqing , Jiang Yu
Published: February 2023

Model compression can significantly reduce the sizes of deep neural network (DNN) models and thus facilitate the dissemination of sophisticated, sizable DNN models, especially for deployment on mobile or embedded devices. However, the prediction results of compressed models may deviate from those of their original models. To help developers thoroughly understand the impact of model compression, it is essential to test these models to find thosedeviated behaviorsbefore dissemination. However, this is a non-trivial task, because the architectures and gradients of compressed models are usually not available.

To this end, we proposeDflare, a novel, search-based, black-box testing technique to automatically find triggering inputs that result in deviated behaviors in image classification tasks.Dflareiteratively applies a series of mutation operations to a given seed image until a triggering input is found. For better efficacy and efficiency,Dflaremodels the search problem as Markov Chains and leverages the Metropolis-Hasting algorithm to guide the selection of mutation operators in each iteration. Further,Dflareutilizes a novel fitness function to prioritize the mutated inputs that either cause large differences between two models’ outputs or trigger previously unobserved models’ probability vectors. We evaluatedDflareon 21 compressed models for image classification tasks with three datasets. The results show thatDflarenot only constantly outperforms the baseline in terms of efficacy but also significantly improves the efficiency:Dflareis 17.84×–446.06× as fast as the baseline in terms of time; the number of queries required byDflareto find one triggering input is only 0.186–1.937% of those issued by the baseline. We also demonstrated that the triggering inputs found byDflarecan be used to repair up to 48.48% deviated behaviors in image classification tasks and further decrease the effectiveness ofDflareon the repaired models.
COMET: Coverage-guided Model Generation For Deep Learning Library Testing
Authors: Li Meiziniu , Cao Jialun , Tian Yongqiang , Li Tsz On , Wen Ming , Cheung Shing-Chi
Published: February 2023

Recent
deep learning (DL)
applications are mostly built on top of DL libraries. The quality assurance of these libraries is critical to the dependable deployment of DL applications. Techniques have been proposed to generate various DL models and apply them to test these libraries. However, their test effectiveness is constrained by the diversity of layer API calls in their generated DL models. Our study reveals that these techniques can cover at most 34.1% layer inputs, 25.9% layer parameter values, and 15.6% layer sequences. As a result, we find that many bugs arising from specific layer API calls (i.e., specific layer inputs, parameter values, or layer sequences) can be missed by existing techniques.

Because of this limitation, we propose COMET to effectively generate DL models with diverse layer API calls for DL library testing. COMET: (1) designs a set of mutation operators and a coverage-based search algorithm to diversify layer inputs, layer parameter values, and layer sequences in DL models. (2) proposes a model synthesis method to boost the test efficiency without compromising the layer API call diversity. Our evaluation result shows that COMET outperforms baselines by covering twice as many layer inputs (69.7% vs. 34.1%), layer parameter values (50.2% vs. 25.9%), and layer sequences (39.0% vs. 15.6%) as those by the state-of-the-art. Moreover, COMET covers 3.4% more library branches than those by existing techniques. Finally, COMET detects 32 new bugs in the latest version of eight popular DL libraries, including TensorFlow and MXNet, with 21 of them confirmed by DL library developers and seven of those confirmed bugs have been fixed by developers.
RiC-O Converter: A Software to Convert EAC-CPF and EAD 2002 XML Files to RDF Datasets Conforming to Records in Contexts Ontology
Authors: Clavaud Florence , Francart Thomas , Charbonnier Pauline
Published: February 2023

RiC-O Converter is an open source command-line tool to convert EAD finding aids and EAC-CPF authority records to RDF files conforming to ICA Records in Contexts ontology (RiC-O) in a robust manner. It was developed for the Archives nationales of France but is aimed to be reused by other archival institutions, and to this aim is fully documented in English. It is based on XSLT stylesheets that consider the variability of EAD content. It enabled the Archives nationales of France to convert 15,400 EAC-CPF files and 31,000 EAD files into a homogeneous knowledge graph, and to start a more specific project aiming to provide end users with an intuitive search interface for a significant subset of this graph, opening new perspectives for navigating and linking from/to archival metadata.
TS-GAN: Time-series GAN for Sensor-based Health Data Augmentation
Authors: Yang Zhenyu , Li Yantao , Zhou Gang
Published: February 2023

Deep learning has achieved significant success on intelligent medical treatments, such as automatic diagnosis and analysis of medical data. To train an automatic diagnosis system with high accuracy and strong robustness in healthcare, sufficient training data are required when using deep learning-based methods. However, given that the data collected by sensors that are embedded in medical or mobile devices are inadequate, it is challenging to train an effective and efficient classification model with state-of-the-art performance. Inspired by generative adversarial networks (GANs), we propose TS-GAN, a Time-series GAN architecture based on long short-term memory (LSTM) networks for sensor-based health data augmentation, thereby improving the performance of deep learning-based classification models. TS-GAN aims to learn a generative model that creates time-series data with the same space and time dependence as the real data. Specifically, we design an LSTM-based generator for creating realistic data and an LSTM-based discriminator for determining how similar the generated data are to real data. In particular, we design a sequential-squeeze-and-excitation module in the LSTM-based discriminator to better understand space dependence of real data, and apply the gradient penalty originated from Wasserstein GANs in the training process to stabilize the optimization. We conduct comparative experiments to evaluate the performance of TS-GAN with TimeGAN, C-RNN-GAN and Conditional Wasserstein GANs through discriminator loss, maximum mean discrepancy, visualization methods and classification accuracy on health datasets of ECG_200, NonInvasiveFatalECG_Thorax1, and mHealth, respectively. The experimental results show that TS-GAN exceeds other state-of-the-art time-series GANs in almost all the evaluation metrics, and the classifier trained on synthetic datasets generated by TS-GAN achieves the highest classification accuracy of 97.50% on ECG_200, 94.12% on NonInvasiveFatalECG_Thorax1, and 98.12% on mHealth, respectively.
3D Super-Resolution Fluorescence Imaging of Microgels
Authors: Nevskyi Oleksii , Wöll Dominik
Published: February 2023

Super-resolution fluorescence microscopy techniques are powerful tools to investigate polymer systems. In this review, we address how these techniques have been applied to hydrogel nano- and microparticles, so-called nano- or microgels. We outline which research questions on microgels could be addressed and what new insights could be achieved. Studies of the morphology, shape, and deformation of microgels; their internal compartmentalization; the cross-linker distribution and polarity inside them; and their dynamics and diffusion are summarized. In particular, the abilities to super-resolve structures in three dimensions have boosted the research field and have also allowed researchers to obtain impressive 3D images of deformed microgels. Accessing information beyond 3D localization, such as spectral and lifetime properties and correlative imaging or the combination of data with other methods, shines new light onto polymer systems and helps us understand their complexity in detail. Such future trends and developments are also addressed.
Automatic Segmentation and Classification for Antinuclear Antibody Images Based on Deep Learning
Authors: Xie Qinghua , Chen Pengyu , Li Zhaohuan , Xie Renfeng
Published: February 2023

Antinuclear antibodies (ANAs) testing is the main serological diagnosis screening test for autoimmune diseases. ANAs testing is conducted principally by the indirect immunofluorescence (IIF) on human epithelial cell‐substrate (HEp‐2) protocol. However, due to its high variability and human subjectivity, there is an insistent need to develop an efficient method for automatic image segmentation and classification. This article develops an automatic segmentation and classification framework based on artificial intelligence (AI) on the ANA images. The Otsu thresholding method and watershed segmentation algorithm are adopted to segment IIF images of cells. Moreover, multiple texture features such as scale‐invariant feature transform (SIFT), local binary pattern (LBP), cooccurrence among adjacent LBPs (CoALBP), and rotation invariant cooccurrence among adjacent LBPs (RIC‐LBP) are utilized. Firstly, this article adopts traditional machine learning methods such as support vector machine (SVM), k‐nearest neighbor algorithm (KNN), and random forest (RF) and then uses ensemble classifier (ECLF) combined with soft voting rules to merge these machine learning methods for classification. The deep learning method InceptionResNetV2 is also utilized to train on the classification of cell images. Eventually, the best accuracy of 0.9269 on the Changsha dataset and 0.9635 on the ICPR 2016 dataset for the traditional methods is obtained by a combination of SIFT and RIC‐LBP with the ECLF classifier, and the best accuracy obtained by the InceptionResNetV2 is 0.9465 and 0.9836 separately, which outperforms other schemes.
Scanning Electrochemical Microscope Studies of Charge Transfer Kinetics at the Interface of the Perovskite/Hole Transport Layer
Authors: Anshebo Getachew Alemu , Gebreyohanes Ataklti Abraha , Difer Bizuneh Gebremichael , Anshebo Teketel Alemu
Published: February 2023

Interfacial carrier transfer kinetics is critical to the efficiency and stability of perovskite solar cells. Herein, we measure the regeneration rate constant, absorption cross-section, reduction rate constant, and conductivity of hole transport layered perovskites using scanning electrochemical microscopy (SECM). The SECM feedback revealed that the regeneration rate constant, absorption cross-section, and reduction rate constant of the nickel oxide (NiO) layer perovskite layer are higher than those of the poly (3,4-ethyenedioxythiophene)-poly (styrenesulfonate) layered perovskite. Also, at a specific flux density (

J

h
v

), the value of the regeneration rate constant (keff) in both blue and red illuminations for the NiO/CH3NH3PbI3 film is significantly higher than in both PEDOT: PSS/CH3NH3PbI3 and FTO/CH3NH3PbI3 films. The difference in keff between layered and nonlayered perovskite conforms to the impact of the hole conducting layer on the charge transfer kinetics. According to the findings, SECM is a powerful approach for screening an appropriate hole transport layer for stable perovskite solar cells.
Phytoremediation of Engineered Nanoparticles Using Typha latifolia and Carex rostrata
Authors: Ebrahimbabaie Parisa , Smith Anthony , Zahran Elsayed M. , Pichtel John
Published: February 2023

Engineered nanoparticles (ENPs) are in demand for numerous industrial, commercial, and domestic applications. Concern has arisen, however, regarding potential adverse environmental impacts from the inadvertent release of ENPs into water bodies. Certain plants have been identified with the capability to absorb metallic ENPs via roots, thus indicating possible application for phytoremediation. The reported study evaluates the potential for two aquatic plant species, viz. cattail (Typha latifolia) and sedge (Carex rostrata) for uptake of Ag, ZnO, TiO2, Pd/BiVO4/BiOBr, and Pd/Cu2O ENPs, each of which were added weekly for 15 weeks. The research was conducted by comparing media doped with metals as nanoparticles and in ionic form. Sedge accumulated greater quantities of Ag, TiO2, and ZnO ENPs in shoots compared with roots. In contrast, cattail roots accumulated proportionally greater concentrations of all ENPs (in particular ZnO, BiVO4, and Cu2O) and ionic metals compared to shoots. Such differences may be attributed, in part, to the root architectures of the two plant species. The translocation factor of ENPs in some treatments (Cu2O, sedge; TiO2, cattail) was >1.0, indicating a potential for phytoextraction. However, the bioconcentration factor for all ENPs was <1.0. Both species hold promise for the phytoextraction of certain ENPs.
Boredom Proneness on Chinese College Students’ Phubbing during the COVID-19 Outbreak: The Mediating Effects of Self-Control and Bedtime Procrastination
Authors: Meng Fan , Xuan Bin
Published: February 2023

Objective. To analyze the relationship between boredom proneness and phubbing among Chinese college students and examine how self-control and bedtime procrastination mediate this relationship during the COVID-19 outbreak. Methods. A total of 707 Chinese college students were voluntarily surveyed. They completed the Generic Scale of Phubbing (GSP), Short Boredom Proneness Scale (SBPS), Bedtime Procrastination Scale (BPS), and Self-Control Scale (SCS). Results. (1) The results revealed that men scored higher on boredom than women. (2) The analysis revealed significant associations between each of the variables. Boredom proneness was positively correlated with bedtime procrastination (r = 0.318;

P
<
0.001

) and phubbing (r = 0.418;

P
<
0.001

) and negatively correlated with self-control (r = −0.518;

P
<
0.001

). (3) Mediation analysis suggested that self-control and bedtime procrastination mediate the relationship between boredom proneness and phubbing (effect of self-control = 0.094,

P
<
0.001

, 95% CI [0.062∼0.128]; effect of bedtime procrastination = 0.025,

P
<
0.001

, 95% CI [0.011∼0.042]; and effect of self-control and bedtime procrastination = 0.032,

P
<
0.0

01, 95% CI [0.020∼0.046]). Conclusion. Self-control and bedtime procrastination mediate the association between boredom proneness and phubbing among Chinese college students during the COVID-19 pandemic.
Pain‐Related Gene Solute Carrier Family 24 Member 3 Is a Prognostic Biomarker and Correlated with Immune Infiltrates in Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma: A Study via Integrated Bioinformatics Analyses and Experimental Verification
Authors: Zhou Shuguang , Jin Qinqin , Yao Hui , Ying Jie , Tian Lu , Jiang Xiya , Yang Yinting , Jiang Xiaomin , Gao Wei , Zhang Weiyu , Zhu Yuting , Cao Wujun
Published: February 2023

The aim of this study was to explore cervical carcinoma and screen a suitable gene as the biomarker used for prognosis evaluation as well as pain therapy. Low expression levels of solute carrier family 24 member 3 (SLC24A3) was involved in the appearance and development of numerous malignancies. Nevertheless, the prognostic value of SLC24A3 expression with cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) patients remains uncertain. During the present study, SLC24A3 expression in CESC was retrieved from TCGA, GEO, and MSigDB databases. Based on TCGA and GEO profiles, we performed survival and difference analyses about SLC24A3 both in two GEO (GSE44001 and GSE63514) and TCGA‐CESC cohorts (all p < 0.05), indicating that SLC24A3 was low expressed in tumors and associated with higher overall survival in CESC patients. Additionally, we programmed a series of analyses, including genomic profiling, enrichment analysis, immune infiltration analysis, and therapy‐related analysis to identify the mechanism of the SLC24A3 in the process of cancer in CESC. Meanwhile, qRT‐PCR was used to validate that the expression of SLC24A3 mRNA in Hela and SiHa cell lines was significantly lower than in PANC‐1 and HUCEC cell lines. Our finding elucidated that the SLC24A3, a sodium‐calcium regulator of cells, is an indispensable factor which can significantly influence the prognosis of patients with CESC and could provide novel clinical evidence to serve as a potential biological indicator for future diagnosis and pain therapy.
Determination of Optimized Mix Design of Reactive Powder Concrete
Authors: Moslehi Abbas , Dashti Rahmatabadi Mohammad Ali , Arman Hosein
Published: February 2023

There are different types of reactive powder concrete (RPC) and researchers continue to develop better-quality mix designs. This research presents an integrated approach for RPC mix design. For this purpose, 13 RPC mix designs were collected according to expert opinion and laboratory samples and were tested in this study for validation of the characteristics of compressive strength and water absorption. The samples were then ranked using the simple additive weighting (SAW) method, and three highest-quality RPCs were selected for the Taguchi method. These RPCs were used to prepare 27 experimental RPC mix designs applying the Taguchi method. From the experimental results, compressive strength with 0.38–0.76% and water absorption with 0.50–0.99% differences were more appropriate in compliance with the collected data. Also, results from the 27 mix designs investigated by the Taguchi method revealed the optimized mix design for the maximum compressive strength with 146.7 MPa and the optimized mix design for the minimum water absorption with 0.89%. The results showed that our approach was consistent with the results of classic methods that require a large number of samples. This suggests that integrating the SAW and Taguchi methods is an appropriate approach for screening and optimizing RPC mix design.
NAD+-Consuming Enzymes in Stem Cell Homeostasis
Authors: Ji Xiuna , Zheng Mingyue , Yu Tao , Kang Jie , Fan Tingjun , Xu Bin
Published: February 2023

Nicotinamide adenine dinucleotide (NAD+) is a coenzyme used in redox reactions, energy metabolism, and mitochondrial biogenesis. NAD+ is also required as a cofactor by nonredox NAD+-dependent enzymes. Hundreds of enzymes that consume NAD+ have been identified. The NAD+-consuming enzymes are involved in a variety of cellular processes such as signal transduction, DNA repair, cellular senescence, and stem cell (SC) homeostasis. In this review, we discussed how different types of NAD+-consuming enzymes regulate SC functions and summarized current research on the roles of the NAD+ consumers in SC homeostasis. We hope to provide a more global and integrative insight to the mechanism and intervention of SC homeostasis via the regulation of the NAD+-consuming enzymes.
ILD-GAP Combined with the Charlson Comorbidity Index Score (ILD-GAPC) as a Prognostic Prediction Model in Patients with Interstitial Lung Disease
Authors: Fujii Hiroaki , Hara Yu , Saigusa Yusuke , Tagami Yoichi , Murohashi Kota , Nagasawa Ryo , Aoki Ayako , Izawa Ami , Seki Kenichi , Watanabe Keisuke , Horita Nobuyuki , Kobayashi Nobuaki , Kaneko Takeshi
Published: February 2023

Background. The ILD-GAP scoring system has been widely used to predict the prognosis of patients with interstitial lung disease (ILD). The ability of the ILD-GAP scoring system combined with the Charlson Comorbidity Index score (CCIS) (ILD-GAPC) to predict ILD prognosis was investigated. Methods. In ILD patients, including idiopathic pulmonary fibrosis (IPF), idiopathic nonspecific interstitial pneumonia (iNSIP), collagen vascular disease-related interstitial pneumonia (CVD-IP), chronic hypersensitivity pneumonitis (CHP), and unclassifiable ILD (UC-ILD), treated between April 2013 and April 2017, the relationships between baseline clinical parameters, including age, sex, CCIS, ILD diagnosis, pulmonary function test results, and disease outcomes, were retrospectively assessed, and the ability to predict prognosis was compared between the ILD-GAP and ILD-GAPC models, respectively. Results. A total of 185 patients (mean age, 71.9 years), all of whom underwent pulmonary function testing, including percentage predicted diffusion capacity for carbon monoxide, were assessed. ILD diagnosis consisted of IPF in 57 cases, iNSIP and CVD-IP in 117 cases, CHP in 6 cases, and UC-ILD in 5 cases. The ILD-GAPC provided a greater area under the receiver operating characteristic curve (0.758) for predicting 3-year ILD-related events than the ILD-GAP (0.721). In addition, log-rank tests showed that the Kaplan−Meier curves differed significantly among low, middle, and high ILD-GAPC scores (

P
<
0.001

), unlike ILD-GAP scores (

P
=
0.083

). Conclusions. The ILD-GAPC model could provide more accurate information for predicting prognosis in patients with ILD than the ILD-GAP model.
Perspectives and Knowledge about Fertility Preservation Strategies among Female Cancer Patients in Turkey
Authors: Emirdar Volkan , Karataşli Volkan , Acet Ferruh , Okay Gulin , Gode Funda , Karabulut Alaattin , Arslan Çağatay
Published: February 2023

Objectives. To evaluate the knowledge level and perspectives of female cancer patients regarding fertility preservation techniques before gonadotoxic treatment. Material and Methods. This was a prospective observational survey-based study conducted between 2016 and 2020 in Izmir Economy University Medical Park Hospital. A total of 150 female cancer patients aged 18–42 years were included. The participants completed a 17-item questionnaire, developed by the research team to evaluate their knowledge and perspectives on fertility preservation techniques. Results. The mean age of the patients was 39.5 ± 4.9 years. Only 64.7% of the patients were referred to fertility counseling by a gynecologist, while 72.6% of the patients knew of the risk of infertility after cancer treatment. There was a significant correlation between the health status and cancer stage of the patient (

p
=
0.003

). The estimated future chance of becoming pregnant spontaneously or through fertility preservation techniques was significantly higher in patients with a higher education level (

p
=
0.041

or 0.008, respectively). Satisfaction with the counseling process was reported as high or low by 66.7% or 20% of the patients, respectively. Conclusions. The rate of referral of reproductive-age cancer patients to fertility preservation counseling is still not satisfactory. Education level was the only variable significantly associated with a motivation to become pregnant after cancer treatment, either spontaneously or through fertility preservation techniques.
Radiofrequency Coblation-Assisted Transoral Surgery for the Treatment of Oropharyngeal Squamous Cell Carcinoma: A Comparative Study with Open Surgery
Authors: Du Xiaowan , Zhao Xin , Zhang Junbo , Zhang Chi , Xiao Shuifang , Li Tiancheng
Published: February 2023

Objective. Radiofrequency coblation (RFC) is a relatively new method that has opened up new perspectives in treating oropharyngeal squamous cell carcinoma (OPSCC). Our study was designed to explore the feasibility and effectiveness of RFC-assisted transoral surgery (RFC-TOS) for primary OPSCC. Methods. Sixty-nine cases of OPSCC from February 2005 to November 2020 were retrospectively analyzed, including 31 in the RFC-TOS group and 38 in the open surgery group. No difference was observed in demographic and oncological characteristics. Results. The significance between the RFC-TOS group and the open surgery group was proved in intraoperative bleeding volume (34.10 ± 10.10 ml vs. 193.68 ± 21.00 ml,

P
<
0.001

), durations of surgery (79.58 ± 8.45 min vs. 217.87 ± 17.65 min,

P
<
0.001

), time to resume oral feeding (1.64 ± 0.41 d vs. 11.58 ± 1.41 d,

P
<
0.001

), duration of hospitalization (7.84 ± 0.66 d vs. 15.66 ± 1.62 d,

P
<
0.001

), and the total costs (22846.22 ± 1821.55¥ vs. 41792.24 ± 4150.86¥,

P
<
0.001

). The rates of 5-year overall survival (OS), 5-yeardisease-specific survival (DSS), and 5-year local control rate (LC) were 69.1%, 71.7%, and 75.7%, respectively, in the RFC-TOS group and 71.0%, 73.4%, and 73.7% in the open surgery group (

P
>
0.05

). Conclusions. RFC-TOS is a feasible alternative transoral approach for OPSCC. The reported perioperative and oncologic outcomes are satisfactory.
A Wide-Angle Scanning Planar Array Based on Four-Mode Pattern-Reconfigurable Elements
Authors: Ndimubandi Samuel de Jésus , Ding Xiao , Zeng Yu
Published: February 2023

This paper presents a design of a wide-angle scanning planar array based on a reconfigurable antenna with four radiation patterns for 5G applications. The pattern-reconfigurable antennas (PRAs), capable of switching into four radiation patterns with the help of PIN diodes, constitute the basic elements of the planar array. By exciting each port individually and combining the scans of the PRAs operating at four symmetrical modes in four quadrant subspaces, the main beam of the proposed scanning planar array can scan subspaces I, II, III, and IV by directing the main lobe from -65° to 65° with side lobes less than -7 dB, while supporting a 3 dB scanning coverage of up to 83.5° for each quadrant in the elevation plane. Due to its compactness, simpler biasing network, and more significant beam-scanning coverage, the scanning array by using four-mode PRAs has better performance, via simulation and measurement result agreement.
Identification and Analysis of Hub Genes and Immune Cells Associated with the Formation of Acute Aortic Dissection
Authors: Zhong Aifang , Cai Yuzhong , Zhou Yang , Ding Ning , Yang Guifang , Chai Xiangping
Published: February 2023

Background. Acute type A aortic dissection (AAD) is a catastrophic disease with high mortality, but the pathogenesis has not been fully elucidated. This study is aimed at identifying hub genes and immune cells associated with the pathogenesis of AAD. Methods. The datasets were downloaded from Gene Expression Omnibus (GEO). Gene Set Enrichment Analysis (GSEA), gene set variation analysis (GSVA), and differential analysis were performed. The differentially expressed genes (DEGs) were intersected with specific genes collected from MSigDB. The gene function and pathway enrichment analysis were also performed on intersecting genes. The key modules were selected by weighted gene coexpression network analysis (WGCNA). Hub genes were identified by least absolute shrinkage and selection operator (LASSO) analysis and were verified in the metadataset. The immune cell infiltration was analyzed by CIBERSORT, and the relationship between hub genes and immune cells was performed by Pearson’s correlation analysis. The single‐cell RNA sequencing (scRNA‐seq) dataset was used to verify the differences in DNA damage and repair signaling pathways and hub genes in different cell types. Results. The results of GSEA and GSVA indicated that DNA damage and repair processes were activated in the occurrence of AAD. The gene function and pathway enrichment analysis on differentially expressed DNA damage‐ and repair‐related genes showed that these genes were mainly involved in the regulation of the cell cycle process, cellular response to DNA damage stimulus, response to wounding, p53 signaling pathway, and cellular senescence. Three key modules were identified by WGCNA. Five genes were screened as hub genes, including CDK2, EIF4A1, GLRX, NNMT, and SLCO2A1. Naive B cells and Gamma delta T cells (γδ T cells) were decreased in AAD, but monocytes and M0 macrophages were increased. scRNA‐seq analysis included that DNA damage and repair processes were activated in smooth muscle cells (SMCs), tissue stem cells, and monocytes in the aortic wall of patients with AAD. Conclusions. Our results suggested that DNA damage‐ and repair‐related genes may be involved in the occurrence of AAD by regulating many biological processes. The hub genes and immune cells reported in this study also increase the understanding of AAD.
Influence of Samarium on Structural, Morphological, and Electrical Properties of Lithium Manganese Oxide
Authors: Narenthiran B. , Manivannan S. , Sharmila S. , Shanmugavani A. , Janaki Ramulu Perumalla
Published: February 2023

Research and developments on preparing electrode material for lithium-ion batteries are burgeoning nowadays widely. In this study, we used the high energy ball-milling method to prepare pure and samarium-doped lithium manganese oxide (Li4Mn5O12) and investigated its structural, morphological, and electrical properties. The XRD spectrum for the produced materials confirmed the phase purity and crystallinity of the material. The fourier transform infrared spectrum was used to determine the different sorts of vibrations between molecules. The particle size with the presence of polyhedral-shaped morphology was certified by using SEM and TEM analysis. EDS mapping was used to assess the elemental composition and purity of the samples. Complex impedance spectroscopy analysis was used to investigate the temperature dependency of the materials’ electrical properties, and high conductivity (1.15 × 10−7 S cm−1) was reported for samarium-doped lithium manganese oxide at 100°C, and its dielectric relaxation behavior was examined.
Expectations and Participatory Performance of Husbands in Improvement of Anxiety Disorders in Pregnant Women: A Qualitative Study
Authors: Faramarzi Mahbobeh , Shariatpanahi Mojgan , Mahboubeh Mirtabar Seyyedeh , Barat Shahnaz , Nasiri Amiri Fatemeh , Khoozan Mahboobe , Rashid Khosro , hasanvand Fazlollah , Ezoji Khadijeh
Published: February 2023

Purpose. Husbands’ participation is important in the success of maternal health programs. This participation is emphasized in all dimensions including mental health. This study was conducted to examine the husband’s expectations and participatory performance to improve anxiety in pregnant women. Design and Methods. A descriptive qualitative study was conducted via targeted convenience sampling in two public and private maternity care centers. 30 women who were 13–38‐week pregnant were diagnosed with anxiety disorder in a Structured Clinical Interview for the DSM‐5 (SCID‐5), and 16 husbands experienced a semistructured in‐depth qualitative interview. Data were extracted by the conventional content analysis using MAXQDA software (version 18). Findings. Husbands’ expectations and participatory performance to reduce the anxiety of pregnant women were produced in three themes of emotion, behavior, and cognition in terms of the men’s and women’s perspectives. Approximately 70% of subthemes were common among women and men which included emotion (emotional psychological support, strengthening verbal communication, receiving attention and love, and creating a field of entertainment), behavior (following up on mother and fetus’s health, participation in housekeeping, compatibility to mood changes, material and financial provision, and companionship during childbirth), and cognition (increasing the knowledge in the field of pregnancy and the ability to resolve conflict). However, the men’s and women’s themes had some differences. Practice Implications. While men emphasized adjusting communication expectations and making positive changes in lifestyle, anxious women emphasized the themes of receiving attention and love, well‐posedness, companionship in childbirth, and loyalty as important factors influencing the improvement of their disease.
Cognitive Functioning in Adults with Phenylketonuria in a Cohort of Spanish Patients
Authors: Luna P. M. , López-Paz J. F. , García M. , Amayra I. , Martínez O. , Pérez M. , Rodríguez A. A. , Pérez-Núñez P. , Ceberio I. , Mansilla N. , Soria C.
Published: February 2023

The early introduction of a low phenylalanine (Phe) diet has been demonstrated to be the most successful treatment in subjects with phenylketonuria (PKU), especially for preventing severe cognitive and neurological damages. However, it still concerns that even if treated in the first months of life with supplements and following a diet, they can show slight scores below people without PKU in neuropsychological assignments. We investigated 20 adults with classical PKU aged 19–48 years (mean age 29 years) and 20 heathy controls matched by age, gender, and years of education. Patients and controls were assessed with an extended neuropsychological battery, as well as psychological aspects and quality of life, also the last Phe level result was obtained. Results showed that the most affected cognitive domains are processing speed, executive functioning, memory, and also theory of mind, but very well-preserved verbal fluency, language, and visuospatial functioning. In quality of life, some significant results were seen specially in anxiety of Phe levels, anxiety of Phe levels during pregnancy, guilt if poor adherence to supplements, and if dietary protein restriction not followed. No significant results were obtained for the psychological variables. In conclusion, it has been shown that a combination of a low Phe diet, supplement intake, and keeping Phe levels in a low range seems appropriate to have the most normal and alike cognitive performance to persons without PKU.
The Effect of College Students’ Boredom Proneness on Phubbing: The Chain‐Mediating Effects of Fear of Missing Out and Online Vigilance
Authors: Lv Shuai , Wang Hui
Published: February 2023

Purpose. Phubbing not only affects the impression formation and communication quality of both sides of communication but also damages the quality of peer relationships among college students, reduces the happiness of interpersonal objects, and has a negative impact on the physical and mental development of college students. The boredom proneness of college students is an important influencing factor of phubbing, and we aim to investigate the mechanism of its internal influence on phubbing. Design and Methods. A short version of the boredom proneness scale, fear of missing out scale, online vigilance scale, and phubbing scale was used to survey 357 Chinese college students. Bootstrap method using SPSS Process macro developed by Hayes was used to test the chain‐mediating effect of fear of missing out and online vigilance in the relationship between college students’ boredom proneness and phubbing. Results. Boredom proneness, fear of missing out, online vigilance, and phubbing were significantly and positively correlated with each other (p < 0.05). The test of mediated effects showed that college students’ boredom proneness not only predicted phubbing but also there were three indirect paths: the separate mediated effect of fear of missing out; the separate mediated effect of online vigilance; and the chain mediated effect of fear of missing out and online vigilance. The effect of the three mediators accounted for 31.82% of the total effect. Practice Implications. College students’ boredom proneness can directly and positively affect phubbing and also affect phubbing through the chain‐mediating effects of fear of missing out and online vigilance. The prevention of phubbing among college students should not only reduce boredom proneness but also reduce the level of fear of missing out and online vigilance.
Validation of the Climate Change Anxiety Scale for Korean Adults
Authors: Jang Sun Joo , Chung Sophia J. , Lee Haeyoung
Published: February 2023

Purpose. This study evaluated the validity and reliability of the Korean Climate Change Anxiety Scale (CCAS) translation. Design and Methods. Data were collected using an online survey from January 17 to January 26, 2022, from 459 adults aged 19–65 years. Exploratory factor analysis and confirmatory factor analysis were performed, and Cronbach’s α and intraclass correlation coefficient were evaluated. Findings. The CCAS’s Korean version can be used as an effective tool because its validity and reliability have been verified. Practice Implications. Studies examining climate change anxiety can help protect human security against climate change‐induced disasters and achieve sustainable development goals.
[Retracted] Monitoring Cardiovascular Problems in Heart Patients Using Machine Learning
Authors: Al Ahdal Ahmed , Rakhra Manik , Rajendran Rahul R. , Arslan Farrukh , Khder Moaiad Ahmad , Patel Binit , Rajagopal Balaji Ramkumar , Jain Rituraj
Published: February 2023

The World Health Organization reports that heart disease is the most common cause of death globally, accounting for 17.9 million fatalities annually. The fundamentals of a cure, it is thought, are important symptoms and recognition of the illness. Traditional techniques are facing many challenges, ranging from delayed or unnecessary treatment to incorrect diagnoses, which can affect treatment progress, increase the bill, and give the disease more time to spread and harm the patient’s body. Such errors could be avoided and minimized by employing ML and AI techniques. Many significant efforts have been made in recent years to increase computer‐aided diagnosis and detection applications, which is a rapidly growing area of research. Machine learning algorithms are especially important in CAD, which is used to detect patterns in medical data sources and make nontrivial predictions to assist doctors and clinicians in making timely decisions. This study aims to develop multiple methods for machine learning using the UCI set of data based on individuals’ medical attributes to aid in the early detection of cardiovascular disease. Various machine learning techniques are used to evaluate and review the results of the UCI machine learning heart disease dataset. The proposed algorithms had the highest accuracy, with the random forest classifier achieving 96.72% and the extreme gradient boost achieving 95.08%. This will assist the doctor in taking appropriate actions. The proposed technology will only be able to determine whether or not a person has a heart issue. The severity of heart disease cannot be determined using this method.
Intertumoral Differences Dictate the Outcome of TGF-β Blockade on the Efficacy of Viro-Immunotherapy
Authors: Groeneveldt Christianne , van Ginkel Jurriaan Q. , Kinderman Priscilla , Sluijter Marjolein , Griffioen Lisa , Labrie Camilla , van den Wollenberg Diana J.M. , Hoeben Rob C. , van der Burg Sjoerd H. , ten Dijke Peter , Hawinkels Lukas J.A.C. , van Hall Thorbald , van Montfoort Nadine
Published: February 2023

The absence of T cells in the tumor microenvironment of solid tumors is a major barrier to cancer immunotherapy efficacy. Oncolytic viruses, including reovirus type 3 Dearing (Reo), can recruit CD8+ T cells to the tumor and thereby enhance the efficacy of immunotherapeutic strategies that depend on high T-cell density, such as CD3-bispecific antibody (bsAb) therapy. TGF-β signaling might represent another barrier to effective Reo&CD3-bsAb therapy due to its immunoinhibitory characteristics. Here, we investigated the effect of TGF-β blockade on the antitumor efficacy of Reo&CD3-bsAb therapy in the preclinical pancreatic KPC3 and colon MC38 tumor models, where TGF-β signaling is active. TGF-β blockade impaired tumor growth in both KPC3 and MC38 tumors. Furthermore, TGF-β blockade did not affect reovirus replication in both models and significantly enhanced the Reo-induced T-cell influx in MC38 colon tumors. Reo administration decreased TGF-β signaling in MC38 tumors but instead increased TGF-β activity in KPC3 tumors, resulting in the accumulation of α-smooth muscle actin (αSMA+) fibroblasts. In KPC3 tumors, TGF-β blockade antagonized the antitumor effect of Reo&CD3-bsAb therapy, even though T-cell influx and activity were not impaired. Moreover, genetic loss of TGF-β signaling in CD8+ T cells had no effect on therapeutic responses. In contrast, TGF-β blockade significantly improved therapeutic efficacy of Reo&CD3-bsAb in mice bearing MC38 colon tumors, resulting in a 100% complete response. Further understanding of the factors that determine this intertumor dichotomy is required before TGF-β inhibition can be exploited as part of viroimmunotherapeutic combination strategies to improve their clinical benefit.

Significance:

Blockade of the pleiotropic molecule TGF-β can both improve and impair the efficacy of viro-immunotherapy, depending on the tumor model. While TGF-β blockade antagonized Reo&CD3-bsAb combination therapy in the KPC3 model for pancreatic cancer, it resulted in 100% complete responses in the MC38 colon model. Understanding factors underlying this contrast is required to guide therapeutic application.