bluuebunny/crossref_metadata_2025_split huggingface dataset:
Coal Mine Environment Causes Adverse Effects on Workers
Authors: Chen Huihui , Zhang Mengli , Ding Xinping , Wang Tianwei , Ma Zhiyuan , Zhang Wenzhong 
Published: May 2022

Abstract
Purpose: To study the health effects of coal mine environment on workers, to discover early effective biomarkers. Methods: A cross-sectional survey was conducted with 502 in-service workers, and the population was divided into the coal miner and the auxiliary worker. Clinical examinations were carried out by qualified doctors. Peripheral blood was collected to measure blood biochemistry, hemogram and karyotype apoptosis. Results: All workers were healthy and showed no difference in age, height, weight and BMI between groups. The education level and working years of coal miners were significantly lower than that of auxiliary workers (P < 0.05). Compared with auxiliary workers, the concentration and percentage of LYMPH, BASO, EO, RBC and the concentration of HGB of coal miners decreased (P < 0.05). The percentage of NEUT of coal miners increased (P < 0.05). The coal miner presented higher BUN, lower CRE, and higher BUN/CRE (P < 0.05). The proportion of karyotype apoptosis of coal miners was higher (P < 0.05). Conclusions: The coal mine environment impacts immune system, induces adverse effects on renal function and enhances the risk of anemia of coal miners. And karyotype apoptosis, LYMPH, BUN/CRE and HGB can be used as early effective biomarkers for coal miners.
Robotic-assisted sleeve gastrectomy in obese patients using the SenhanceTM surgical system – evaluation of the feasibility and safety of a new system
Authors: Haist Thomas , Pauthner Michael , Scheffel Oliver 
Published: May 2022

Abstract
Robotic-assisted surgery is widely integrated into several surgery standards. However, conventional laparoscopy still represents the gold standard in bariatric surgery and robotic-assisted surgery is relatively novel. This study aims to evaluate the feasibility and safety of the SenhanceTM surgical system for robotic-assisted sleeve gastrectomy in obese patients. Twenty obese patients (BMI: 36-57) underwent elective robotic-assisted sleeve gastrectomy in the Department for bariatric and metabolic surgery at Sana Hospital Offenbach, Germany. Indication for sleeve gastrectomy followed the general German guidelines of obesity surgery. Median docking time was 7.5 min (4–13), mean console time was 33 min (15-75) and median total operating time was 85 min (47–147). Two cases were converted to conventional laparoscopy (10 %) for bleeding or limited working space, none to open surgery. One complication required reoperation (postoperative hematoma). Median hospitalization time was three days (3–5). The study results underline the feasibility and safety of the SenhanceTM surgical system for robotic-assisted sleeve gastrectomy in obese patients.
Minimally invasive versus open transforaminal lumbar interbody fusion: A prospective, controlled observational study of short-term outcome
Authors: Hartmann Sebastian , Lang Anna , Lener Sara , Grassner Lukas , Abramovic Anto , Thomé Claudius 
Published: May 2022

Abstract
Purpose
Instrumented stabilization with intersomatic fusion can be achieved by open (O-TLIF) or minimally invasive (MIS-TLIF) transforaminal surgical access. While less invasive techniques have been associated with reduced postoperative pain and disability, increased manipulation and insufficient decompression may contradict MIS techniques. In order to detect differences between both techniques in the short-term, a prospective, controlled study was conducted.
Methods
38 patients with isthmic or degenerative spondylolisthesis or degenerative disc disease were included in this prospective, controlled study (15 MIS-TLIF group vs. 23 O-TLIF group) after failed conservative treatment. Patients were examined preoperatively, on the first, third and sixth postoperative day as well as after 2, 4 and 12 weeks postoperatively. Outcome parameters included blood loss, duration of surgery, pre- and postoperative pain (numeric rating scale [NRS], visual analogue scale [VAS]), functionality (Timed up and Go test [TUG]), disability (Oswestry Disability index [ODI] and quality of life (EQ-5D).
Results
Intraoperative blood loss (IBL) as well as postoperative blood loss (PBL) was significantly higher in the O-TLIF group ([IBL O-TLIF 528 ml vs. MIS-TLIF 213ml p = 0.001], [PBL O-TLIF 322 ml vs. MIS-TLIF 30 ml p = 0.004]). The O-TLIF cohort showed significantly less leg pain postoperatively compared to the MIS-TLIF group ([NRS-leg 3rd postoperative day p = 0.027], [VAS-leg 12 weeks post-op p = 0.02]).
Conclusion
After 3 months in the short-term follow-up, the MIS procedure tends to have better results. Nevertheless, MIS-TLIF offers perioperative advantages, but seems to carry a risk of increased nerve root manipulation, which may be linked to the procedure’s learning curve.
Effect of frozen-thawed embryo transfer on metabolism of children in early childhood
Authors: Dong Ze-Han , Wu Ting , Feng Tie-Nan , Zhang Chen , Wang Yu , Liu Han , Qin Ning-Xin , Wang Yin-Yu , Xu Jing-Jing , Li Hong , Yu Wen , Jin Li , Ding Yan , Lin Xian-Hua , Chen Lei , Wang Li , Liu Zhi-Wei , Sheng Jian-Zhong , Wu Yan-Ting , Huang He-Feng 
Published: May 2022

Abstract
Background:As a routine procedure in assisted reproductive technology (ART), it is crucial to assess the safety of frozen and thawed embryo transfer (FET). We aimed to investigate the metabolic profile of children conceived through FET between the ages of 1.5 and 4.Method:284 children between the ages of 1.5 and 4 years old, conceived through FET or spontaneously conceived, were recruited. A total of 147 children were included in the biochemical and metabolomics analysis (118 were born following FET and 29 were conceived spontaneously).Results:Children in the FET group had higher plasma ApoE and lower fasting insulin than those in the NC group. There were 11 small molecule metabolities that differed between the FET and NC groups: short chain fatty acid and secondary bile acid were higher in the FET group, whereas medium and long chain fatty acids were lower.Conclusion: We found that the fasting insulin level and HOMA-IR index which related to glycometabolism were decreased in FET group. Increased level of ApoE and decreased level of medium and long chain fatty acids in FET group indicated the abnormal lipid metabolism of children born after FET. Meanwhile, the increase of SCFAs (short chain fatty acids) level and secondary bile acids in FET group may suggeste the active metabolism of intestinal flora of children conceived from FET.
Identification and validation of immune-related lncRNA prognostic signature for lung cancer
Authors: Liu Ya , Mrs Xiuli Xia , Mrs Aiping Xu , Mr Yongfeng Chen , Mr Jianjun Tuo , Mrs Ting Xu , Wang Hongquan , Chen Zhiqiang 
Published: May 2022

Abstract
Background: Since lung cancer (LC) has a poor prognosis worldwide, this study focuses on constructing the immune-related lncRNAs (IRlncRNAs) model for improving survivability among lung cancer patients.Methods: This work identified immune-related differentially expressed genes (IRDEGs) in cancer compared with healthy tissues based on The Cancer Genome Atlas (TCGA)-derived expression profiles. Prognostic genes were later screened by univariate Cox regression, thereafter, multivariate Cox regression was performed to establish a prognostic risk model. After evaluating risk scores of all cases, the risk model was used to perform a clinical correlation analysis.Results: This work established a 6 immune-related genes (IRGs)-based signature. It suggested the poor survival of high-risk patients, with the area under the receiver operating characteristic (ROC) curve (AUC) value being 0.776. Besides, high-risk IRGs like IPO5P1 and AC090559.1 were associated with significant malignant clinical manifestations. Further, IRlncRNAs were related to cell cycle and DNA damage repair through KEGG enrichment analysis.Conclusion: Our as-constructed signature might be the model to effectively predict LC survival. Moreover, tumor immunity analysis helped to develop efficient clinical treatments.
Case Report and Literature Review of the Sequential Treatment Involving Percutaneous Transluminal Angioplasty, Tissue-engineered Skin Graft and Negative Pressure Wound Therapy in Dialysis Patients with Diabetic Plantar and Heel Ulcers
Authors: Wang Jinjun , Huang Xianming , Wang Pinyi , Wang Linru , Zhang Juanzi , Liu Qiuxia , Geng Diyu , Li Wenwen , Chen Xiguang 
Published: May 2022

Abstract
This case report is concerned with a female patient aged 62, who was admitted to the hospital due to the “ulceration on her left foot for more than one month and the pain exacerbation for one week”. Three years ago, this patient underwent regular hemodialysis for treating the “renal failure in the stage of uremia”. This time, she was admitted with plantar and heel ulcers on her left foot, which had caused damage to the lower leg. The digital subtraction angiography (DSA) showed extensive stenosis and occlusion in the left superficial femoral artery, left peroneal artery and left posterior tibial artery, based on which this patient was diagnosed with type 2 diabetic foot ulcers (DFU, TEXAS 4D). After her admission to the hospital, the multidisciplinary team (MDT) concluded from discussion that the flap transposition and transfemoral amputation were not applicable to this case. Therefore, the “straight bloodstream” was opened by endovascular operation towards the affected part on the basis of medical supportive treatment + local debridement. Then, the wound was sequentially repaired by split-thickness skin and tissue-engineered skin grafts combined with negative pressure treatment. Four months later, the wound completely healed, and the patient was able to walk with walking aid. It was the first case in which the ischemic diabetic plantar and heel ulcers were successfully cured by the sequential treatment involving percutaneous transluminal angioplasty (PTA), autologous skin and tissue-engineered skin grafts, and negative pressure suction.
Effect of diabetes mellitus on physical activity in patients with moderate-to-severe knee osteoarthritis scheduled for total knee arthroplasty: a cross-sectional study
Authors: Fujita Remi , Ota Susumu , Yamamoto Yuri , Kataoka Akito , Warashina Hideki , Inoue Tomoe , Ozeki Shinya , Sugiura Hideshi 
Published: May 2022

Abstract
Background: Studies are now emphasizing on the involvement of risk factors like diabetes mellitus (DM) in knee osteoarthritis (OA). Patients with knee OA and those with DM have lower physical activity. However, whether patients with knee OA and DM have more decreased physical activity than do patients with only knee OA and whether DM is associated with physical activity in patients with moderate-to-severe knee OA who are scheduled for total knee arthroplasty (TKA) are unclear. The purpose of this study was to investigate differences in physical activity between patients with and without DM and to determine the association between physical activity and the presence of DM in patients with moderate-to-severe knee OA who are scheduled for TKA.Methods: We evaluated 183 patients with moderate-to-severe knee OA who were scheduled for TKA. We evaluated knee function (i.e., knee flexion/extension range-of-motion, knee-extension strength, knee pain) and performance-based physical function (e.g., Timed Up-and-Go [TUG] test), and objectively measured physical activity using an accelerometer. Physical activity by intensity was compared between knee OA patients with DM and those without DM. The association between physical activity and DM, including knee function and performance-based physical function, was evaluated.Results: The average daily step count was significantly fewer (p<0.001), and light-intensity physical activity (LPA) time (p<0.001) and moderate-to-vigorous-intensity physical activity (MVPA) time (p=0.006) were significantly shorter in knee OA patients with DM than in those without DM. After adjusting for age, sex, and body mass index, fewer average daily step count and shorter LPA time were significantly correlated with DM (β = -0.200, p=0.006; β = -0.216, p=0.004) and a longer TUG test time (β = -0.196, p=0.014; β = -0.208, p=0.011). Shorter MVPA time was significantly correlated with lower contralateral knee-extension strength (β = 0.187, p=0.032).Conclusions: Knee OA patients with DM had lower physical activity than did knee OA patients without DM. The presence of DM was correlated with step count and LPA time in patients with moderate-to-severe knee OA scheduled for TKA. Our results suggested that the progression of decreased physical activity should be a concern for patients with both moderate-to-severe knee OA and DM.
Hybrid Focusing Metric for Sound Speed Estimation in Photoacoustic Imaging Involving Layered Media
Authors: Yıldırım Ahmet , Mahmutoğlu Aslı Nur , Karaaslan Berkay , Özdemir Özgür 
Published: May 2022

Abstract
In photoacoustic imaging, the speed of sound distribution (SoS) of background is required for image reconstruction, though, in general, it may not be known exactly before reconstruction. The estimation of SoS in a layered media is a difficult task due to the nonlinearity of the wave propagation. In this work, we proposed a novel hybrid focusing metric for accurate image quality assessment in an autofocusing approach to estimate the speed of sound distribution of layered media. In the proposed metric, contrast resolution and spatial resolution information were combined into a novel hybrid focusing metric by exploiting intensity-based focusing metrics and pixel count metrics, thus, enhancing the accuracy of estimation. We have compared the performance of the proposed metric with state of art focusing metrics Brenner, Tennenbaum, and Normalized Variance through numerical simulations which were conducted through k-Wave toolbox. and proved that the proposed focusing metric improved the performance of autofocusing approach significantly in layered media.
A 20-year Trend of Prevalence and Antimicrobial Susceptibility of Stenotrophomonas Maltophilia in a Single Secondary Care Hospital in Korea
Authors: Song Je Eun , Kim Sollip , Kwak Yee Gyung , Um Tae Hyun , Cho Chong Rae , Chang Jeonghyun 
Published: May 2022

Abstract
Background: Stenotrophomonas maltophilia is a Gram-negative opportunistic pathogen that can cause serious infection. We aimed to analyse the prevalence and susceptibility rates to trimethoprim/sulfamethoxazole (TMP/SMX) of S. maltophilia. Methods: We conducted a retrospective study of S. maltophilia isolates from a university hospital from 2001 to 2020. Clinical information, the numbers of isolates and susceptibility rates were analyzed by year. Susceptibility rates and changes in respiratory and non-respiratory samples were compared. Results: 1,805 S. maltophilia isolates were identified, of which 81.4% (1,469/1,805) were from respiratory samples. There was a male predominance and 52% of the isolates were from general wards. The average susceptibility rate was 87.7% and there was no significant annual trend (p = 0.519). The susceptibility rate was 88.7% in respiratory samples and 84.1% in non-respiratory samples (p = 0.018). Conclusions: Susceptibility analyses using clinical data over long periods can guide the choice of antimicrobials especially for pathogen whose treatment options are limited.
A novel cuproptosis-related gene signature can predict prognosis in acute myeloid leukemia
Authors: Zhou Xuan , Xu Zhenzhen , Ma Hehua , Weng Zuyi , Li Juan 
Published: May 2022

Abstract
Acute myeloid leukemia (AML) is the most common and lethal acute leukemia in adults with a dismal prognosis. Infiltrating immune significantly affects the progression of AML. Cuproptosis is a copper-dependent programmed cell death. However, the prognostic significance of cuproptosis-related genes (CRGs) remains unclear. In this study, we evaluated prognostic value of each CRGs and constructed a 3-gene risk model using RNA-sequencing data of AML from The Cancer Genome Atlas (TCGA) cohort. Each AML sample was calculated with a risk score based on the risk model, and then assigned into low- and high-risk groups. Patients with a high risk-score exhibited much worse overall survival. These findings were verified in a Gene Expression Omnibus (GEO) database. Functional analysis indicated that immune status differed between low- and high-risk groups, as well as immune cell infiltration and drug sensitivity. In summary, the risk model based on the expression of CRGs is a promising prognostic biomarker for AML.
Diagnostic value of cell block technique combined with p16/Ki-67 double staining in cervical cancer screening ≥CIN2 with cytological results of ASC-US/LSIL
Authors: Sun Xiaofei , Meng Fanfan , Gu Yiqun 
Published: May 2022

Abstract
Background
Accurate screening for ≥ CIN2 in patients with cytologic results of ASC-US/LSIL is key to cervical cancer screening, which will benefit women by reducing the psychosocial impact of having repeated abnormal smears and undergoing colposcopy.
Methods
To analyze the potential role of the p16/Ki-67 double-stained(DS) on cell block (CB) assay on cytological results of atypical squamous cells of undetermined significance(ASC-US) and low-grade squamous intraepithelial lesion (LSIL) in a final pathological diagnosis of ≥ cervical intraepithelial neoplasia (CIN)2 lesion. We screened ASC-US/LSIL cases with complete results of high-risk human papillomavirus (HR-HPV) and DNA ploidy analysis, and based on the principle of informed consent and voluntariness, the patients' remaining Liquid Based Cytology(LBC) specimens were subjected to CB. A total of 222 patients underwent colposcopic biopsy to compare and analyze the diagnostic efficacy of the three screening methods for ≥ CIN2.
Results
The Area Under the Curve (AUC) of p16/Ki-67 DS was significantly higher than that of HR-HPV and DNA ploidy, P < 0.01. Net reclassification improvement (NRI) index results showed that compared with HR-HPV and DNA ploidy, p16/Ki-67 DS on CB increased the percentage of patients correctly classified by 147.0% and 127.8%, respectively, P < 0.01. The results of the integrated discrimination improvement index (IDI) index showed that p16/Ki-67 increased diagnostic ability by 60.9% and 63.3%, P < 0.01.
Conclusion
The p16/Ki-67 DS on CB significantly improved the correct classification of patients with ≥ CIN2, was a good method to triage ASC-US/LSIL patients, and effectively avoided the occurrence of overdiagnosis and treatment.
3D Multi-Physics Uncertainty Quantification using Physics-Based Machine Learning
Authors: Degen Denise , Cacace Mauro , Wellmann Florian 
Published: May 2022

Abstract
Quantitative predictions of the physical state of the Earth’s subsurface are routinely based on numerical solutions of complex coupled partial differential equations together with estimates of the uncertainties in the material parameters. The resulting
high-dimensional problems are computationally prohibitive even for state-of-the-art solver solutions. In this study, we introduce a hybrid physics-based machine learning technique, the non-intrusive reduced basis method, to construct reliable, scalable, and interpretable surrogate models. Our approach, to combine physical process models with data-driven machine learning techniques, allows us to overcome limitations specific to each individual component, and it enables us to carry out probabilistic analyses, such as global sensitivity studies and uncertainty quantification for real-case non-linearly coupled physical problems. It additionally provides orders of magnitude computational gain, while maintaining an accuracy higher than measurement errors. Although in this study we use a thermo-hydro-mechanical reservoir application to illustrate these features, all the theory described is equally valid and applicable to a wider range of geosciences applications.
Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
Authors: Sarhan Mohanad , Layeghy Siamak , Moustafa Nour , Portmann Marius 
Published: May 2022

Abstract
The uses of Machine Learning (ML) technologies in the detection of network attacks have been proven to be effective when designed and evaluated using data samples originating from the same organisational network. However, it has been very challenging to design an ML-based detection system using heterogeneous network data samples originating from different sources and organisations. This is mainly due to privacy concerns and the lack of a universal format of datasets. In this paper, we propose a collabora-tive cyber threat intelligence sharing scheme to allow multiple organisations to join forces in the design, training, and evaluation of a robust ML-based network intrusion detection system. The threat intelligence sharing scheme utilises two critical aspects for its application; the availability of network data traffic in a common format to allow for the extraction of meaningful patterns across data sources and the adoption of a federated learning mechanism to avoid the necessity of sharing sensitive users’ information between organisations. As a result, each organisation benefits from the intelligence of other organisations while maintaining the privacy of its data internally. In this paper, the framework has been designed and evaluated using two key datasets in a NetFlow format known as NF-UNSW-NB15-v2 and NF-BoT-IoT-v2. In addition, two other common scenarios are considered in the evaluation process; a centralised training method where local data samples are directly shared with other organisations and a localised training method where no threat intelligence is shared. The results demonstrate the efficiency and effectiveness of the proposed framework by designing a universal ML model effectively classifying various benign and intrusive traffic types originating from multiple organisations without the need for inter-organisational data exchange.
Effectiveness of discriminant analysis and varimax rotation as food forensic tools for authentication of skin gelatine sources
Authors: Sani Muhamad Shirwan Abdullah , Ismail Azilawati Mohd , Azid Azman , Samsudin Mohd Saiful 
Published: May 2022

Abstract
This study aims at (1) authenticating sources of skin gelatine via the incorporation of putative amino acid (AA) analysis via Ultra-High-Performance Liquid Chromatography Diode-Array Detector (UHPLC-DAD) with multivariate data analysis and (2) developing the amino acid profiles in skin gelatines. The classification ability of MDA, such as partial least square-discriminant analysis (PLS-DA) and discriminant analysis (DA) was compared to choose the best discriminating model. Principal component analysis (PCA) with Varimax rotation was executed to ensure the correct grouping of the skin gelatine clusters and thus, facilitate assigning significantly contributing AA to the skin gelatine clusters. The DA was superior over the PLS-DA since it had successfully classified 96.7% porcine, bovine and fish skin gelatines using 17 AAs. The backbone of chemical structure may render the correlations among AAs in the skin gelatines. The DA identified 15 significant AAs (p < 0.01) in the skin gelatines via PCA with Varimax rotation. Four Varimax rotations had successfully grouped the porcine, bovine and fish skin gelatines into correct clusters. L-Tyrosine, L-Phenylalanine and L-Valine were dominant in porcine gelatine; L-Methionine, L-Threonine, L-Serine, L-Histidine, L-Arginine and Glycine were dominant in fish gelatine, while L-Proline, L-Leucine and L-Hydroxyproline were in moderate content in bovine. This study anticipated that the authority might adopt this approach to establish an authentication standard for skin gelatine samples.