bluuebunny/crossref_metadata_2025_split huggingface dataset:
Successful therapy of complex regional pain syndrome after hip arthroscopy for femoroacetabular impingement syndrome: a case report
Authors: Twardy V. , von Eisenhart-Rothe R. , Banke I. J. 
Published: January 2024

Abstract
Background
Complex regional pain syndrome is a neuropathic pain disorder associated with ongoing pain that persists beyond the usual expected tissue healing time and that is disproportionate to the degree of tissue injury present. Complex regional pain syndrome after hip arthroscopy has not been reported before. Hip arthroscopy is a fast-growing domain that could lead to an increasing number of complex regional pain syndrome cases, probably owing to the high traction forces that are necessary.

Case presentation
We report the case of a 30-year-old German female semiprofessional tennis player who presented with complex regional pain syndrome type I in the lower leg 3 weeks after hip arthroscopy for femoroacetabular impingement syndrome with suture anchor labral repair and femoroplasty. After 2 months of immediate multimodal conservative therapy including administration of gabapentin, prompt full weight-bearing, and intensified physiotherapy, complete recovery was achieved.

Conclusion
Complex regional pain syndrome does occur after elective hip arthroscopy. Disproportionate postoperative pain or other symptoms raising suspicion of complex regional pain syndrome should be promptly evaluated and treated through a multimodal approach. Postless hip arthroscopy may be advantageous.
CD317+ MSCs expanded with chemically defined media have enhanced immunological anti-inflammatory activities
Authors: Song Jun , Ma Qi , Li Yumeng , Wang Xianqi , Chen Si , Liang Bowei , Lin Xiaoqi , Chen Jieting , Xu Shiru , Shi Shaoquan , Zhang Jingting , Diao Lianghui , Zeng Yong , Xu Jianyong 
Published: January 2024

Abstract
Background
Although both preclinical and clinical studies have shown the great application potential of MSCs (mesenchymal stem/stromal cells) in treating many kinds of diseases, therapeutic inconsistency resulting from cell heterogeneity is the major stumbling block to their clinical applications. Cell population diversity and batch variation in the cell expansion medium are two major inducers of MSC heterogeneity.

Methods
Cell population diversity was investigated through single-cell RNA sequencing analysis of human MSCs derived from the umbilical cord and expanded with fully chemically defined medium in the current study. Then, the MSC subpopulation with enhanced anti-inflammatory effects was studied in vitro and in vivo.

Results
Our data showed that MSCs contain different populations with different functions, including subpopulations with enhanced functions of exosome secretion, extracellular matrix modification and responses to stimuli (regeneration and immune response). Among them, CD317+ MSCs have improved differentiation capabilities and enhanced immune suppression activities. Underlying mechanism studies showed that higher levels of TSG6 confer enhanced anti-inflammatory functions of CD317+ MSCs.

Conclusions
Thus, CD317+ MSCs might be a promising candidate for treating immunological disorder-related diseases.
RETRACTED ARTICLE: Research on privacy and secure storage protection of personalized medical data based on hybrid encryption
Authors: Lv Jialu 
Published: January 2024

AbstractPersonalized medical data privacy and secure storage protection face serious challenges, especially in terms of data security and storage efficiency. Traditional encryption and storage solutions cannot meet the needs of modern medical data protection, which has led to an urgent need for new data protection strategies. Research personalized medical data privacy and secure storage protection based on hybrid encryption, in order to improve the security and efficiency of data storage. A hybrid encryption mechanism was proposed, which uses user attributes as keys for data encryption. The results show that the storage consumption of user attribute keys increases with the number of user attributes, but the consumption of hybrid encryption privacy storage technology is much smaller than that of traditional schemes. In the test, when the number of users increased to 30, the processing time first reached 1200 ms. During the increase in data volume, both test data and real data showed a brief decrease in attack frequency, but after the data volume reached 730–780, the attack frequency increased. It is worth noting that the performance of test data is better than that of real data. Personalized medical data privacy and secure storage protection based on hybrid encryption can not only effectively improve data security and reduce the risk of attack, but also greatly outperform traditional solutions in storage consumption and processing time. It has important practical significance for modern medical data storage protection.
The secretor status of blood group antigens in the saliva in people with oral cancers: a systematic review
Authors: Walpola T. , Jayawardene K. L. T. D. , Weerasekara I. 
Published: January 2024

Abstract
Background
Human ABO blood group type and the antigenic secretor status are hypothesized to associate with oral diseases including oral cancer. Secretor status is the ability of individuals to secrete blood group antigens into body fluids. This study aimed to evaluate the secretor status of ABO antigens of saliva in patients with oral cancers or oral potentially malignant disorders (OPMDs) relative to healthy adults.

Methods
A systematic and comprehensive online search from inception to April 28, 2022, was carried out in MEDLINE, Embase, PsycInfo, and Emcare. The language was limited to English. Yielded records were screened by two independent reviewers at the title and abstract phase and at full-text screening. Studies investigating adults (≥ 18 years) with oral cancers or oral potentially malignant disorders compared to adults free of oral cancer were included in this study. Data were extracted according to the planned objectives. Methodological quality was assessed, and the findings were analyzed narratively. Meta-analyses were conducted to pool the odds of the non-secretor status of oral cancers and OPMDs compared to healthy adults.

Results
The search included a total of 34 studies from three databases. Nine duplicates were removed. During the title and abstract screening, 11 irrelevant studies were excluded. Twelve studies were screened during the full-text screening, and eight articles were eligible to be included in the final analysis. A pooled odds ratio (OR) of 3.80 (95%CI, 1.53–9.44) was estimated when pooled 1254 oral cancers and oral potentially malignant disorders patients compared to 666 healthy adults.

Discussion and conclusion
The odds of being a non-secretor appear to be approximately 3.8 times higher in patients with oral cancers and oral potentially malignant disorders compared to healthy adults. The lack of ABO blood group antigens in body fluids of non-secretors is more exposed to exogenous antigens than secretors. The host-parasite interactions of secretors and non-secretors underlying oral cancer and other diseases may be evidence to support or refuse them. Clinicians may use the secretor status as a detection test during their regular oral check-ups for high-risk populations for oral cancers. Non-secretors can be given more attention considering them as high-risk groups, and in terms of prognosis, differences between these two groups may be expected.
A Transformer-based network intrusion detection approach for cloud security
Authors: Long Zhenyue , Yan Huiru , Shen Guiquan , Zhang Xiaolu , He Haoyang , Cheng Long 
Published: January 2024

AbstractThe distributed architecture of cloud computing necessitates robust defense mechanisms to secure network-accessible resources against a diverse and dynamic threat landscape. A Network Intrusion Detection System (NIDS) is pivotal in this context, with its efficacy in cloud environments hinging on its adaptability to evolving threat vectors while mitigating false positives. In this paper, we present a novel NIDS algorithm, anchored in the Transformer model and finely tailored for cloud environments. Our algorithm melds the fundamental aspects of network intrusion detection with the sophisticated attention mechanism inherent to the Transformer model, facilitating a more insightful examination of the relationships between input features and diverse intrusion types, thereby bolstering detection accuracy. We provide a detailed design of our approach and have conducted a thorough comparative evaluation. Our experimental results demonstrate that the accuracy of our model is over 93%, which is comparable to that of the CNN-LSTM model, underscoring the effectiveness and viability of our Transformer-based intrusion detection algorithm in bolstering cloud security.
Informing social media analysis for public health: a cross-sectional survey of professionals
Authors: White Becky K. , Wilhelm Elisabeth , Ishizumi Atsuyoshi , Abeyesekera Surangani , Pereira Alhassan , Yau Brian , Kuzmanovic Aleksandra , Nguyen Tim , Briand Sylvie , Purnat Tina D. 
Published: January 2024

Abstract
Background
During the COVID-19 pandemic, the field of infodemic management has grown in response to urgent global need. Social listening is the first step in managing the infodemic, and many organizations and health systems have implemented processes. Social media analysis tools have traditionally been developed for commercial purposes, rather than public health, and little is known of the experiences and needs of those professionals using them for infodemic management.

Methods
We developed a cross sectional survey and distributed through global infodemic management networks between December 2022 and February 2023. Questions were structured over four sections related to work-practice and user needs and did not collect any personal details from participants. Descriptive analysis was conducted on the study results. Qualitative analysis was used to categorise and understand answers to open-text questions.

Results
There were 417 participants, 162/417 who completed all survey questions, and 255/417 who completed some, all responses are included in analysis. Respondents came from all global regions and a variety of workplaces. Participants had an average of 4.4 years’ experience in the analysis of social media for public health. COVID-19 was the most common health issue people had conducted social media analysis for. Results reveal a range of training, technical capacity, and support needs.

Conclusions
This paper is the first we are aware of to seek and describe the needs of those using social media analysis platforms for public health purposes since the start of the COVID-19 pandemic. There are key areas for future work and research, including addressing the training, capacity building and leadership needs of those working in this space, and the need to facilitate easier access to better platforms for performing social media analysis.
Alkali Activation of Common Clay Deposits: Evaluation of the Suitability by an IR Spectroscopic Method
Authors: Dathe Felix , Dehn Frank 
Published: January 2024

AbstractIn the context of a sustainable use of resources with the aim of the reduction of the CO2 footprint, the development of alternative concrete materials has attracted a great deal of attention. In this context, geopolymers, obtained from common clay deposits, are found to be interesting construction materials with very versatile properties. In this paper, a completely novel approach for the evaluation of the suitability of clays for the geopolymer formation is investigated. The method is based on simple and easy-to-handle IR spectroscopic measurements, through which the surface area under the OH stretching band in the IR spectrum of the clay can directly be correlated to the amount of reactive clay components. These reactive components are required for the success of the alkali activation of the clays in order to access geopolymers. Based on the theoretical reaction pathway of the geopolymer formation, the linear relationship between the OH stretching band area and the reactive components can be used for the estimation of the required activator amount for the alkali activation of calcined clays and predict the quality of the casted geopolymer mortar in terms of strength. This new method not only gives an insight into the suitability of a common clay for the geopolymer formation, but also facilitates a straightforward alkali activation procedure without tedious preliminary testing of the required activator amount.
Defense responses and symbiotic functional initiation in trifoliate orange‒arbuscular mycorrhizal fungi interaction
Authors: Liu Xiao-Qing , Liu Zhen , Zou Ying-Ning , Alqahtani Mashael Daghash , Wu Qiang-Sheng 
Published: January 2024

AbstractArbuscular mycorrhizal fungi (AMF) trigger beneficial effects on their hosts, but it is unknown how plants modulate their defense responses during root colonization of AMF and the symbiotic benefits are initiated. The purpose of this study was to analyze the root mycorrhizal colonization process of trifoliate orange and the responsive patterns of plant growth, root peroxide hydrogen (H2O2), antioxidant enzymes and their encoding gene expression, and sugar, lipid and phosphate transporter protein gene expression at 7‒56 days of inoculation (doi) with Funneliformis mosseae (Fm). Fm developed appressoriums on the root surface at 7 doi, followed by abundant arbuscules in root cortical cells at 28 doi, intracellular vesicles at 42 doi, and root mycorrhizal colonization rate of 41.54% at 56 doi. Plant growth improvement by Fm started at 28 doi. The immune defense response of roots was initiated at 7 doi, as evidenced by the increase of H2O2 levels and superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) activity, as well as the up-regulation of PtMn-SOD, PtCu/Zn-SOD, PtPOD, and PtCAT expression, which lasted until 14 doi. Starting at 28 doi, a sugar transporter gene (PtSWEET), a lipid transporter gene (PtSTR), and a phosphate transporter gene (PtPT6) were initiated to be up-regulated, followed by the up-regulation of PtSTR2, PtPT3, and PtPT5 at 42 doi and PtFe-SOD at 56 doi. Arbuscule formation and plant growth improvement together at 28 doi suggested that arbuscules trigger improved growth responses of host plants. This study also reveals the initiation of host immune defense response and function in early root AMF colonization.
Graphical Abstract
$$\textrm{O}^+$$ density distribution in the nightside ionosphere reconstructed from ISS-IMAP/EUVI data
Authors: Nakano Shin’ya , Hozumi Yuta , Saito Akinori , Yoshikawa Ichiro , Yamazaki Atsushi , Yoshioka Kazuo , Murakami Go 
Published: January 2024

AbstractThe$$\textrm{O}^+$$O+density distribution in the nightside ionosphere has been reconstructed from extreme ultraviolet (EUV) images taken by the EUVI-B imager of the International Space Station Ionosphere, Mesosphere, upper Atmosphere, and Plasmasphere mapping (ISS-IMAP) cameras. The EUVI-B imager covers the wavelength range from about 70 nm to 110 nm and mainly observes the 91.1 nm emission from the recombination of$$\textrm{O}^+$$O+ions and electrons. Assuming that the electron density is equal to the$$\textrm{O}^+$$O+density in theF-region where the imager observes, the EUV intensity observed by EUVI-B is approximately proportional to the line-of-sight integral of the square of the$$\textrm{O}^+$$O+density. This enables us to estimate the$$\textrm{O}^+$$O+density distribution in theF-region from a sequence of EUVI-B data in each International Space Station (ISS) orbit with a Bayesian method. We demonstrate the reconstruction of the$$\textrm{O}^+$$O+distribution. In particular, the$$\textrm{O}^+$$O+density structure of the equatorial ionization anomaly (EIA) in the vicinity of an ISS orbit is obtained.Graphical Abstract
Enhancing brain metastasis prediction in non-small cell lung cancer: a deep learning-based segmentation and CT radiomics-based ensemble learning model
Authors: Gong Jing , Wang Ting , Wang Zezhou , Chu Xiao , Hu Tingdan , Li Menglei , Peng Weijun , Feng Feng , Tong Tong , Gu Yajia 
Published: January 2024

Abstract
Background
Brain metastasis (BM) is most common in non-small cell lung cancer (NSCLC) patients. This study aims to enhance BM risk prediction within three years for advanced NSCLC patients by using a deep learning-based segmentation and computed tomography (CT) radiomics-based ensemble learning model.

Methods
This retrospective study included 602 stage IIIA-IVB NSCLC patients, 309 BM patients and 293 non-BM patients, from two centers. Patients were divided into a training cohort (N = 376), an internal validation cohort (N = 161) and an external validation cohort (N = 65). Lung tumors were first segmented by using a three-dimensional (3D) deep residual U-Net network. Then, a total of 1106 radiomics features were computed by using pretreatment lung CT images to decode the imaging phenotypes of primary lung cancer. To reduce the dimensionality of the radiomics features, recursive feature elimination configured with the least absolute shrinkage and selection operator (LASSO) regularization method was applied to select the optimal image features after removing the low-variance features. An ensemble learning algorithm of the extreme gradient boosting (XGBoost) classifier was used to train and build a prediction model by fusing radiomics features and clinical features. Finally, Kaplan‒Meier (KM) survival analysis was used to evaluate the prognostic value of the prediction score generated by the radiomics–clinical model.

Results
The fused model achieved area under the receiver operating characteristic curve values of 0.91 ± 0.01, 0.89 ± 0.02 and 0.85 ± 0.05 on the training and two validation cohorts, respectively. Through KM survival analysis, the risk score generated by our model achieved a significant prognostic value for BM-free survival (BMFS) and overall survival (OS) in the two cohorts (P < 0.05).

Conclusions
Our results demonstrated that (1) the fusion of radiomics and clinical features can improve the prediction performance in predicting BM risk, (2) the radiomics model generates higher performance than the clinical model, and (3) the radiomics-clinical fusion model has prognostic value in predicting the BMFS and OS of NSCLC patients.
Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas
Authors: Setyawan Nurhuda Hendra , Choridah Lina , Nugroho Hanung Adi , Malueka Rusdy Ghazali , Dwianingsih Ery Kus 
Published: January 2024

Abstract
Background
Gliomas present a significant economic burden and patient management challenge. The 2021 WHO classification incorporates molecular parameters, which guide treatment decisions. However, acquiring these molecular data involves invasive biopsies, prompting a need for non-invasive diagnostic methods. This study aims to assess the potential of Visually AcceSAble Rembrandt Images (VASARI) MRI features to predict glioma characteristics such as grade, IDH mutation, and MGMT methylation status.

Methods
This study enrolled 107 glioma patients treated between 2017 and 2022, meeting specific criteria including the absence of prior chemotherapy/radiation therapy, and the presence of molecular and MRI data. Images were assessed using the 27 VASARI MRI features by two blinded radiologists. Pathological and molecular assessments were conducted according to WHO 2021 CNS Tumor classification. Cross-validation Least Absolute Shrinkage and Selection Operator (CV-LASSO) logistic regression was applied for statistical analysis to identify significant VASARI features in determining glioma grade, IDH mutation, and MGMT methylation status.

Results
The study demonstrated substantial observer agreement in VASARI feature evaluation (inter- and intra-observer κ = 0.714 - 0.831 and 0.910, respectively). Patient imaging characteristics varied significantly with glioma grade, IDH mutation, and MGMT methylation. A predictive model was established using VASARI features for glioma grade prediction, exhibiting an AUC of 0.995 (95% CI = 0.986 – 0.998), 100% sensitivity, and 92.86% specificity. IDH mutation status was predicted with AUC 0.930 (95% CI = 0.882 - 0.977), and improved slightly to 0.933 with 'age-at-diagnosis' added. A model predicting MGMT methylation had a satisfactory performance (AUC 0.757, 95% CI = 0.645 - 0.868), improving to 0.791 when 'age-at-diagnosis' was added.

Conclusions
The T1/FLAIR ratio, enhancement quality, hemorrhage, and proportion enhancing predict glioma grade with excellent accuracy. The proportion enhancing, thickness of enhancing margin, and T1/FLAIR ratio are significant predictors for IDH mutation status. Lastly, MGMT methylation is related to the longest diameter of the lesion, edema crossing the midline, and the proportion of the non-enhancing lesion. VASARI MRI features offer non-invasive and accurate predictive models for glioma grade, IDH mutation, and MGMT methylation status, enhancing glioma patient management.
A novel strategy of combining abdominal surgery and endoscopy for the quick hemostasis of acute duodenal ulcer bleeding: a case report
Authors: Luo Bixian , Liu Han , Gong Weihua 
Published: January 2024

Abstract
Background
Uncontrolled ulcer bleeding of duodenal ulcer (DU) after endoscopic therapy often needs surgery. At present, cutting the bottom of the ulcer with ligation and performing its excision-lesion are the common ways to achieve immediate efficacy in stopping bleeding. For the problem of its great trauma, we seek an easy and useful technical method to reach the same therapeutic effect to stop acute bleeding.

Methods
We determined the distribution of the lesion and its innervated blood vessels under the guidance of the endoscopy and then performed suture and hemostasis on the external surface of the stomach and duodenum.

Results
An immediate efficacy in stopping bleeding was shown and the hemoglobin (Hb) level returned to normal after operation with no recurrence of bleeding.

Conclusion
We created a successful and novel strategy for laparotomy-endoscopic assisted suture for DU emergency hemostasis without duodenectomy.
Factors associated with postpartum family planning use in Rwanda
Authors: Sylvain Muzungu Hirwa , Valens Rwema 
Published: January 2024

Abstract
Background
Resumption and initiation of contraceptive methods after delivery are of critical importance in ensuring the well-being of the mother and the newborn. However, evidence related with postpartum family planning in Rwanda is scanty. This study employed survival analysis techniques to study the time to resumption or initiation of contraceptive methods after childbirth in Rwandan women and the associated factors.

Methods
Data were collected from the 2020 Rwanda Demographic and Health Survey (RDHS). Descriptive statistics were obtained after adjusting for study design. Initial analysis was conducted using the Kaplan-Meier method, followed by univariate and multivariable Cox Hazard proportional models to study factors associated with the initiation of contraceptive use after delivery. Cox Model assumptions were tested using scaled Schoenfeld Residuals.

Results
5682 women who delivered in the five years preceding the survey were included in this research. The percentage of women who used modern contraceptives was 32%, 55%, 67%, and 79% at one month, six months, one year and two years respectively. Delivery by cesarean section, access to health insurance, and an increase in the number of children under five years of age were associated with increased chances of utilizing modern contraceptives after delivery. An increase in women’s age and in the ideal number of children and women with a history of terminated pregnancy were associated with reduced chances of using postpartum family planning. The influence of religion was highlighted, with Catholic women associated with high contraceptive use.

Conclusion
There is a need to strengthen postpartum family planning in Rwanda. Policy makers and clinicians should provide additional customized interventions for women with factors associated with low use.