bluuebunny/crossref_metadata_2025_split huggingface dataset:
Frequent flowering but low sexual reproductive success of the dioecious seagrass Enhalus acoroides in Li’an Bay, China
Authors: Yu Shuo , Cui Lijun , Tussenbroek Brigitta I. van , Wu Yuchao , Zhu Fangchao , Gaitan-Espitia Juan Diego , Jiang Kai 
Published: May 2023

Abstract

Seagrasses are rapidly declining worldwide. To safeguard and restore their natural populations, it is fundamental to understand first the biological properties that influence seagrass ecological and demographic trends. Such characteristics are typically linked to the reproductive success of these flowering plants, modulating the genetic diversity and the adaptive potential of seagrass populations. Aiming to inform future restoration efforts, we investigated the reproductive phenology and fruit set of the dioecious tropical seagrass Enhalus acoroides in Li’an lagoon, Hainan Island, China. Although E. acoroides flowered year-round, the flowering intensity varied across seasons (highest in the summer and lowest in the winter), most likely mediated by sea surface temperatures and tides. Mature fruits occurred predominantly in fall and winter, but the frequency was low probably due to the influence of disturbance and algal blooms. Despite the high reproductive investment in terms of flower formation observed throughout the year in E. acoroides, there was limited sexual reproductive success evidenced by the low fruit formation. This study provides insight into the reproductive ecology of E. acoroides, which will be useful for the future conservation and restoration of this threatened seagrass.
Comprehensive analysis of AK4 as a potential biomarker and analysis and validation of lung adenocarcinoma
Authors: Pan Qingyun , Zheng Jiayu , Zeng Qian , Liang Yuxian , Yan Lingxin , Chen Quanfan 
Published: May 2023

Abstract
Adenylate kinase 4 (AK4) is a member of the adenylate kinase family and has been implicated in carcinogenesis in several types of cancer. However, a systematic pan-cancer analysis of AK4 has not yet been conducted. In this study, we examined the expression and prognostic significance of AK4 in human cancers, focusing on its role in lung adenocarcinoma (LUAD). We analyzed AK4 expression levels and prognosis in various cancers using online bioinformatics databases. Furthermore, we confirmed the biological characteristics of AK4 in LUAD through in vitro cell experiments. Our results suggest that AK4 may serve as a potential prognostic biomarker for various cancers, particularly LUAD. Functional enrichment analysis revealed that AK4 is associated with autophagy, cell apoptosis, metastasis, and epithelial-mesenchymal transition (EMT) in LUAD. In cell experiments, we observed that knocking down AK4 in HCC827 cells inhibited growth, proliferation, invasion, migration, apoptosis, and EMT while promoting autophagy. In summary, our study suggests that AK4 may represent a promising prognostic factor and a novel biomarker for LUAD.
Description of three new Clavulina species from Baiyun Mountain, Guangzhou, China
Authors: Huang Xiaoxia , Chen Yi-Xin , Lin Zhi-Jun , Liang Ying-Shan , Qiu Li-Hong 
Published: May 2023

Abstract
Three new Clavulina species, C. baiyunensis, C. minor and C.lilaceorosea were described from specimens collected from Baiyun Mountain, Guangzhou, China based on detain morphological studies and phylogenetic analyses of three gene fragments ITS, LSU and RPB2. C. baiyunensis is characterized by light brown to brown basidiomata with hyaline tramal hyphae. C. minor has diminutive, dull white to pale brown basidiomata with hyaline tramal hyphae. C. lilaceorosea has pale brown to ochre brown basidiomata with palmate branches, tramal hyphae walls light brown. Both three new species have abundant clamp connections, basidia with two cornuted sterigmata, postpartal septa common, and cystidia absent. A key of known Clavulinaspecies original from China is presence.
Nurse-led virtual prostate cancer clinic for survivorship care: Qualitative study of healthcare professional experiences and needs
Authors: Young Karen , Xiong Ting , Ng Denise , Jiao Tina , Lohani Raima , Pfisterer Kaylen , Nunn Caitlin , Bryant-Lukosius Denise , Rendon Ricardo , Berlin Alejandro , Bender Jacqueline , Brown Ian , Feifer Andrew , Gotto Geoffrey , Cafazzo Joseph , Pham Quynh 
Published: May 2023

Abstract
Background: Approximately one in eight Canadian males will be diagnosed with prostate cancer. Longer survivorship horizons and resource constraints are leading to increasing strain on current models of specialist-led follow-up care delivery. Nurse-led digital health innovations can reduce demand on specialists if co-designed with health care professionals (HCPs).
Methods: Using human-centred design, the purpose of this exploratory qualitative study with ten HCPs was to characterize their experiences with prostate cancer (PCa) follow-up and virtual care to optimally situate a nurse-led clinic within this ecosystem.
Results: HCPs highlight how current follow-up care can be fragmented, so the scope of a nurse-led clinic should focus on the management of care with referral as needed. Despite an ambivalence for telemedicine arising from its implementation during the COVID-19 pandemic, HCPs see potential for improved care through digital health but note several concerns. Burn-out, weakened patient-provider relationships, and creeping scope of responsibilities were identified as pain points. We provide a health ecosystem readiness checklist to improve odds of acceptability, appropriateness, and feasibility synthesized from six HCP-defined facilitators mapped onto Proctor’s outcomes. Facilitators include: functionality testing (acceptability), technical support and usability (adoption), expectation management (appropriateness), resource allocation (cost), staff readiness (feasibility), and staff training (penetration).
Conclusion: Intentional and empathetic co-design with HCPs during the development of digital health innovations, such as digital therapeutics, is necessary to ensure that HCPs can benefit from, instead of being burdened from, the rising tide of digital health in their clinical responsibilities.
Negative blood culture results are influenced by antibiotic treatment: A retrospective study at Malamulo Adventist Hospital, Thyolo, Malawi
Authors: Kamwendo Chikondi , Kumwenda Pizga 
Published: May 2023

Abstract
Background
Blood culture is a laboratory test designed to detect the presence of bacteria or fungi in the blood of patients suspected of blood stream infection. While speedy initiation of antibiotic treatment is a critical determinant of patient survival, it is recommended that sample for blood culture should be collected before initiation of antibiotic therapy. The present study assessed the effects of antibiotic treatment on blood culture negativity.
Methods
A retrospective observational study was conducted to review blood culture results from June 2021 to December 2022. Blood culture results from patients aged 0 to 60 years were examined. Blood culture results whose samples were obtained prior to antibiotic treatment were analysed in comparison to those obtained during antibiotic treatment. Altogether a total of 165 results from various wards were analysed.
Results
Out of 94 blood cultures tested prior to antibiotic treatment, 54 were negative reflecting a negativity rate of 57%. Furthermore, from 71 blood cultures analysed after initiating antibiotic treatment, 56 were negative, representing a negativity rate of 79% (56/71). Thus, blood samples collected post antibiotic treatment exhibited a higher blood culture negativity rate in comparison to blood samples collected before the onset of antibiotic treatment.
Conclusions
This study revealed that collecting blood culture samples after the start of antibiotic treatment promotes blood culture negativity. While prompt initiation of antibiotic therapy is vital for patient recovery and survival in sepsis or bacteraemia, we encourage the practice of collecting blood culture samples prior to the commencement of treatment.
A Transfer Learning based Intrusion detection system for Internet of Things
Authors: Vishwakarma Monika , Kesswani Nishtha 
Published: May 2023

Abstract
There will be billions of gadgets emerging in the future. A few years ago, experts predicted that the Internet of Things (IoT) might soon be renamed the Internet of Everything (IoE) due to the widespread use of computing technologies in modern days. However, what happens if security issues are not addressed in today's IoT devices? Because of cyber security breaches, consumers and manufacturers of connected devices are at risk. Consequently, the number of cyber-attacks has skyrocketed across the networks. Machine learning-based techniques, particularly deep learning, have shown considerable promise in attack detection techniques. This article proposes a 1D Convolution Neural Network (CNN) based model to address anomaly detection in IoT environment. We looked at the capabilities of CNN to identify and categorize abnormalities in IoT networks. The ability of CNN to identify and categorize abnormalities in IoT networks using multiclass and binary classification via transfer learning was also assessed. The performance of the 1D CNN model is assessed using the Netflow-based NF-ToNIoT, NF-BoTIoT, NF-CSE-CICIDS2018, NF-UNSW-NB15, NF-UQ-NIDS, and CIC flowmeter-based IoT DS2, IoT Network Intrusion, MQTT-IoTIDS2020, CIC-ToNIoT datasets. The reason for selecting transfer learning is to reduce classification and run-time complexity. The training and testing times needed for classification are significantly decreased using the transfer learning approach. The proposed model successfully identifies 20 different attacks with an accuracy of 93.75\% on the NF-UQ NIDS dataset. Additionally, we have verified our proposed model in real-time on an edge device with limited resources.
Success factors of telemedicine startup in Vietnam: the roadmap to transform healthcare customer behavior
Authors: Long Hoang Cuu , Thuan Do Le Duc 
Published: May 2023

Abstract
Telemedicine has become a breakthrough solution in improving access to healthcare services. In Vietnam, telemedicine is the key national program which was motivated to develop by the ministry of health and the government. However, the implementation process encountered many challenges and the number of successful businesses in this field was still limited. This study integrated the technology acceptance model and the extended valance framework to develop an efficient behavioral model for investigating the relationship among trust in provider, perceived ease of use, perceived benefit, perceived risk on usage intention. The proposed framework was verified by in depth interview with three experts in Vietnam health technology market and was tested by 246 participants via web-based survey. Generally, the findings showed that perceived ease of use, perceived benefit positively and significantly affected the usage intention, while perceived risk negatively and significantly influenced the usage intention. Trust in provider positively and significantly influenced the usage intention and perceived benefit, but negatively influenced perceived risk (β = -0.677, p = 0.000). Perceived ease of use significantly and positively affected perceived benefit, while the effect of perceived ease of use on perceived risk was not statistically significant (p = 0.128). The proposed hypothetical model offered empirical insights to healthcare professionals, service providers and authorities. Moreover, it could serve as a theoretical basis for future researches.
The Role of Prevertebral Soft Tissue Swelling in Dysphagia after Anterior Cervical Corpectomy Fusion: Change Trends and Risk Factors
Authors: ma yanyan , Sang Peiming , Chen Binhui , Li Jie , Bei Dikai 
Published: May 2023

Abstract
Objectives
This study aimed to analyze the change trends of prevertebral soft tissue swelling(PSTS) for anterior cervical corpectomy fusion(ACCF) and to evaluate the risk factors of PSTS for postoperative dysphagia.
Methods
There were 309 patients with degenerative cervical diseases who were treated with ACCF from November 2015 and September 2019 in our hospital. According to the symptom of swallowing function after ACCF, those were divided into the dysphagia group and the normal-swallowing function group. Cervical CT was analyzed, and radiological evaluation of the prevertebral soft tissue was measured between the anterior surface of each vertebral body and the air shadow of the airway through CT mid-sagittal slice images before operation and after operation(one week, one month, eight months and twelve months).
Results
The incidence of dysphagia after ACCF was 41.1%. 120 of 127(94.5%) patients had dysphagia disappeared at the 8 months after ACCF, and all disappeared at the 12 months. In both groups, PSTS would be biggest at 1 week postoperatively comparing to the preoperative, and then get smaller from 1 week to 12 months postoperatively (p < 0.05). After 12 months of operation, the PSTS of all cervical spinal levels would get equal to the preoperative size in the normal-swallowing function group, while the PSTS in dysphagia group would get equal only in C5-7. The PSTS of preoperative C6 level and postoperative C2 level were more closely related to the present of postoperative dysphagia (OR: 9.403, 95%CI: 2.344–37.719, OR: 3.187, 95%CI: 1.78–5.705). It was more important in predicting postoperative dysphagia using the value of PSTS at preoperative C6 level and postoperative C2 level, with the cutoff threshold for the PSTS of preoperative C6 level ≦ 1.51cm and postoperative C2 level ≦ 1.3915cm, which could get sensitivity & specificity 66.929% and 61.54%, 77.17% and 64.29%, respectively.
Conclusion
Our study showed that the increasing of the PSTS after ACCF should be considered as a risk factor of dysphagia after surgery. With the recovery of PSTS over time, the incidence of postoperative dysphagia decreases. The PSTS of preoperative C6 level and and postoperative C2 level should play an important part in predicting the risk of postoperative dysphagia.
Research on Efficient Electrical Discharge Machining Trepanning Technology of TC4 Titanium Alloy Hole
Authors: Qiu Mingbo , Wu Entao , Guo Chuangchuang , Yao Zongxiu , Li Jingtao , Zhang Yimiao , Liu Zhidong 
Published: May 2023

Abstract
Owing to low machining efficiency, poor machining accuracy, and surface quality in traditional electrical discharge machining (EDM) of TC4 titanium alloy holes, an EDM trepanning method was developed using a deionized water medium and a flushing liquid in tube electrodes (denoted by EDM-TFD). Several experiments and research mechanisms were conducted on EDM-TFD. Compared with traditional EDM, ED milling, and EDM trepanning, EDM-TFD featured increased hole machining efficiency by more than 5 times, improved machining taper by more than 57%, and improved surface quality by more than 40%. The optimal processing technology was determined through process experiments using copper tube electrodes, a flushing liquid with a speed of 2 m/s, pulse width (Ton) of 150 μs, pulse interval (Toff) of 150 μs, and peak current (Ip) of 15 A. Under the optimized process, the hole exhibited a feed rate of 1.1 mm/min, machining efficiency of 38 mm3/min, machining taper of 40 μm, and surface roughness of 5.2 μm.
OCT-based deep-learning models for the identification of retinal key signs
Authors: Inferrera Leandro , Borsatti Lorenzo , Miladinović Aleksandar , Marangoni Dario , Giglio Rosa , Accardo Agostino , Tognetto Daniele 
Published: May 2023

Abstract
A new system based on binary Deep Learning (DL) convolutional neural networks (CNNs) has been developed to recognize specific retinal abnormality signs on Optical Coherence Tomography (OCT) images useful for clinical practice. Images from the local hospital database were retrospectively selected from 2017 to 2022. Images were labeled by two retinal specialists and included central fovea cross-section OCTs. Nine models were developed using the Visual Geometry Group 16 (VGG-16) architecture to distinguish healthy versus abnormal retinas and to identify eight different retinal abnormality signs. A total of 21500 OCT images were screened, and 10770 central fovea cross-section OCTs were included in the study. The system achieved high accuracy in identifying healthy retinas and specific pathological signs, ranging from 93–99%. Accurately detecting abnormal retinal signs from OCT images is crucial for patient care. This study aimed to identify specific signs related to retinal pathologies, aiding ophthalmologists in diagnosis. The high-accuracy system identified healthy retinas and pathological signs, making it a useful diagnostic aid. Labelled OCT images remain a challenge, but our approach reduces dataset creation time and shows DL models' potential to improve ocular pathology diagnosis and clinical decision-making.
The role of galectin-3 in patients with permanent and paroxysmal Atrial Fibrillation and echocardiographic parameters of left atrial fibrosis
Authors: Silveira Maria Mariana Barros Melo da , Cabral João Victor Batista , Xavier Amanda Tavares , Ó Kleyton Palmeira do , Junior Julio Francisco de Moura , de Carvalho Osmário Tavares , Filho Edivaldo Bezerra Mendes , Belmont Taciana Furtado de Mendonça , Castillo José Maria Del , Rêgo Moacyr Jesus Barreto de Melo , Vasconcelos Luydson Richardson da Silva , Filho Dário Celestino Sobral , de Oliveira Dinaldo Cavalcanti 
Published: May 2023

Abstract
Background: Atrial fibrillation (AF) is the most common type of sustained arrhythmia in clinical practice. Biochemical markers and imaging tests have been used with the aim of stratifying the risk and detecting atrial fibrosis. Speckle-tracking echocardiography (STE) is used for the detection of atrial fibrosis and Gal-3 provides an important prognostic value. The objective of the study was to assess the association between atrial fibrosis markers and serum levels, genetic polymorphisms and genic expression of galectin-3.
Methods: Two hundred and six patients with permanent AF and 70 patients with paroxysmal AF were included in the study. Real time PCR (TaqMan) system was used to study SNPs rs4652 and 4644 of the gene LGALS3. Serum levels of Gal-3 were determined by ELISA and STE was performed to assess fibrosis.
Results: Mean age of individuals with permanent AF was 66.56±12 years. As for the echocardiography results, those patients showed an increase in the following parameters: left atrial diameter (LAD) (p=0.007), LA volume (p=0.02) and volume indexed to the body surface area (p=0.04). And a decrease in values of peak atrial longitudinal strain (PALS) (p=0.002) when compared to the same parameters from the paroxysmal AF group of patients. There was a correlation between serum levels of Gal-3 and PALS in the group of patients with permanent AF; the lower the levels of gal-3, the lower the LA strain (r=0.24; p=0.01).
Conclusions: Echocardiographic findings showed association with the groups, and with serum levels of Gal-3 in patients with permanent AF. The distribution of allelic and genotypic frequencies, and of the haplotypes of polymorphism LGALS3 rs4652 and rs4644 did not present statistical variation, which suggests that those SNPs are not associated with the AF clinical forms (permanent and paroxysmal).
TFDSUNet: Time-Frequency Dual-Stream Uncertainty Network for Battery SOH/SOC Prediction
Authors: Xiao Wenzhe , Zhu Zeyu , Wang Qizhou , Pang Li , Shu Chengyong , Meng Deyu , Cao Xiangyong 
Published: May 2023

Abstract
Accurately estimating the state of health (SOH) and state of charge (SOC) of a battery is crucial for optimizing battery performance, ensuring battery safety, and extending battery life. Existing prediction methods fail to fully exploit the periodic information of battery data in the time domain and the prediction results always lack uncertainty descriptions. To address these issues, this paper proposes a novel time-frequency dual-stream uncertainty network (TFDSUNet). Specifically, TFDSUNet can simultaneously extract the local context information in the time domain and global periodic information in the frequency domain from the battery data. Additionally, TFDSUNet can provide confidence intervals for each prediction by considering both data and model uncertainty. Extensive experiments verify that TFDSUNet can obtain more than 14% performance improvement on the battery benchmark datasets and has better generalization ability than other state-of-the-art methods. Furthermore, TFDSUNet is much lighter, with about 1% parameter number of existing methods, making it more practical for deployment and implementation on battery health management devices.
Effect of external electric field on the electronic structure of MoSe2/Arsenene heterojunction
Authors: Wang JiaXin , Liu GuiLi , Wei Lin , Zhang GuoYing 
Published: May 2023

Abstract
In this paper, the effects of the thermostability, band structure, and the external electric field on the electronic structure of MoSe2/Arsenene heterojunction are calculated based on the density functional theory. The calculation results show that the MoSe2/Arsenene heterojunction is a type-II heterojunction with a band gap of 0.89 eV. When MoSe2 and Arsenene combine by van der Waals force, the electrons are transferred from MoSe2 to Arsenene, the holes are transferred from Arsenene to MoSe2, with the direction of the internal electric field from MoSe2 to Arsenene. The MoSe2/Arsenene heterojunction with valence band top and conduction band bottom contributed by Arsenene and MoSe2, respectively, show excellent thermostability at room temperature. The external electric field can effectively modulate the electronic structure of heterojunction. When the electric field is negative, electrons are transferred from MoSe2 to Arsenene and holes from Arsenene to MoSe2. The Fermi level of Arsenene moves down while that of MoSe2 moves up, with a decreased band gap of the MoSe2/Arsenene heterojunction. When the electric field is positive, the direction of electron and hole transfer are opposite to that when the electric field is negative. The Fermi energy level of Arsenene and MoSe2 also move in the opposite direction, with a first increased then decreased band gap of MoSe2/Arsenene heterojunction. As the electric field increases, the heterojunction eventually transforms from type-II to type-III, achieving the transition from semiconductor to metal.
Detection and Classification of Neuro-degenerative Disease via EfficientNetB7
Authors: SATHISHKUMAR R , DHIVYASRI R , JOTHIKA P , SURYA G 
Published: May 2023

Abstract
Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) are all age-associated neurodegenerative diseases. The evaluation of AD and PD each is the onset of Dementia, which reasons memory impairment irreversibly, orientation, comprehension, gaining knowledge of any new things, and taking the judgment. A unifying feature of Alzheimer’s ailment (AD) and Parkinson’s ailment (PD) is the build-up and processing of mutant or damaged intra and extracellular proteins; this results in neuronal vulnerability and ailment with inside the brain. With high-overall performance computational gear and diverse deep learning (DL) strategies, those modalities have found thrilling opportunities for figuring out and diagnosing neurological disorders. The machine proposes deep learning (DL)-primarily based totally strategies to hit upon neurological disorders that specialize in Alzheimer’s ailment, Parkinson’s ailment from MRI data obtained the usage of exceptional modalities along with practical and structural MRI. The study makes use of predefined deep learning structures and fine tunes them to acquire the purpose of locating the ailment in patients with the accuracy of 99.07%, deep mastering is the subset of gadget mastering in which neural networks and numerous different forms of layers are merged collectively to shape a model to system a photograph and predict. The several DL architectures during distinctive troubles and imaging suggest the Convolution Neural Network (CNN) out performs exceptional techniques in detecting neurological disorders.