bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Ultrasound-guided and Palpation-inserted Peripheral Venous Cannula in Patients Before Primary Hip or Knee Arthroplasty: study protocol for a randomized controlled trial
Authors: Hlasny Jakub , Alberty Roman , Venglarcik Michal , Grey Michael Theodor , Hlavac Marian , Grgac Ivan 
Published: May 2022

Abstract
• Background: More than 2 billion peripheral vascular cannulas are introduced globally each year. It is the most frequently performed invasive procedure in medicine worldwide. There is a group of patients with difficult intravenous access (DIVA). In experts’ hands, ultrasound guided vascular access appears to be a significantly better method. Investigators hypothesize that UGVA is superior also in short term patency of cannula and even for blood draw through cannula. Repeated cannula pricks in the operating room setting not only puts a lot of stress on patient and medical staff, they also waste OR time.• Methods: This investigator-initiated prospective randomized monocentric controlled trial is designed to randomly allocate 400 patients undergoing elective primary total joint arthroplasty of hip or knee to one of two groups as follows: Group C (control group) – peripheral venous cannula insertion by palpation or Group USG (intervention) – cannula insertion by ultrasound guided vascular access. Our primary endpoint is to compare number of attempts for ultrasound guided insertion of peripheral venous cannula with common palpation insertion of peripheral venous cannula in overweight/obese patients (BMI ≥ 25). The secondary endpoint is failure rate of peripheral venous cannula to administer intravenous therapy up to 5 days postoperatively. Tertiary endpoints include portion of long PVCs that are able to ensure blood draw up to 5 days postoperatively, time needed to insert PVC in each group, number of needle tip redirections in both groups, reinsertion of PVC needed in both groups for any reason.• Discussion: This study is pragmatic and is looking for clinically relevant data. After completion it will answer the question whether it is clinically relevant to use ultrasound guided vascular access in the context of not only short-term benefit of insertion, but also up to 5 days after insertion. Also, if this method can ensure blood draw through peripheral vein cannula, it can save resources in perioperative period - valuable especially considering the ongoing shortage of medical staff worldwide. If this hypothesis is confirmed, this finding could contribute to more widespread implementation of ultrasound guided peripheral vascular access in perioperative period.Trial registration: Registered on clinicaltrials.gov 13.12.2021 under CT number: NCT05156008
CircMBOAT2 promotes FASN-mediated lipid metabolism reprogramming and progression in intrahepatic cholangiocarcinoma
Authors: Yu Xiaopeng , Tong Huanjun , Chen Jialu , Tang Chenwei , Wang Shuqing , Si Yu , Wang Shouhua , Tang Zhaohui 
Published: May 2022

Abstract
Background
The carcinogenic role of FASN by regulating lipid metabolism reprogramming has been well established in multiple tumors. However, whether mechanisms during intrahepatic cholangiocarcinoma (ICC) progression such as circRNAs regulate FASN expression remains unknown.
Methods
Five paired ICC and adjacent normal tissues were used to screen the lipid metabolism-associated differentially expressed circRNAs by high-throughput RNA sequencing; the biological role of circMBOAT2 was determined by gain or loss of function experiments. Fluorescence in situ hybridization (FISH), RNA immunoprecipitation (RIP) and RNA pull-down assays were used to analyze the interaction of circMBOAT2 with PTBP1 and PTBP1 with FASN. Coimmunoprecipitation (co-IP) was used to investigate the ubiquitin binding of PTBP1. Non-targeted lipidomics was applied to detect changes in metabolite composition.
Results
CircMBOAT2 (has_circ_0007334 in circBase) was frequently upregulated in ICC tissues and correlated with tumor size. Knockdown circMBOAT2 inhibits proliferation of ICC cells. Mechanistically, circMBOAT2 combines with PTBP1 and protect PTBP1 from ubiquitin/proteasome-dependent degradation, impairing the function of PTBP1 to transfer FASN mRNA from the nucleus to the cytoplasm. Moreover, circMBOAT2 and FASN have the same effect on fatty acid profile, unsaturated fatty acids instead of saturated fatty acids are primarily regulated and associated with malignant behaviors of ICC cells.
Conclusions
Our results identified that circMBOAT2 stabilized PTBP1 and facilitated ICC lipid metabolic reprogramming via the modulation of FASN mRNA cytoplasmic export, suggesting that circMBOAT2 may serve as an available therapeutic target for ICC with active lipid metabolism.
Systematic Literature Review on Indicators Use in Safety Management Practices Among Utility Industries
Authors: ALI MOHAMAD XAZAQUAN MANSOR , Arifin Kadir , Abas Azlan , Ahmad Mohd Akhir , Khairil Muhammad , Cyio Muhammad Basir , Samad Muhammad Ahsan 
Published: May 2022

Abstract

Due to inadequate safety management systems, workers in utility industries are exposed to occupational accidents. Accordingly, it is necessary to characterise and compares the available literature on indicators used in safety management practices in the utility industries. The systematic literature review was based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis statement. This study considered 25 related studies from Web of Science and Scopus databases. Further review of these articles resulted in three main themes of performance indicators, namely driven leading indicators, observant leading indicators, and lagging indicators consisting of 15 sub-themes. Future studies should consider researching a more comprehensive range of utility industries, measuring subjective and objective indicators, integrating risk management into safety management practices, and validating the influence of leading indicators on safety outcomes. Also, researchers recommend including accidents, fatalities, lost time injuries, and near misses in safety outcomes.
High Surface Area Functionalized Nanolaminated Membranes For Energy Efficient Nanofiltration And Desalination In Forward Osmosis
Authors: Wang Wensen , Onofrio Nicolas , Petit Eddy , Karamoko Bonito , Wu Huali , Liu Jiefeng , Li Ji , Qi Kun , Zhang Yang , Gervais Christel , Lajaunie Luc , Salameh Chrystelle , Miele Philippe , Zeng Zhiyuan , Voiry Damien 
Published: May 2022

Abstract
Stacking two-dimensional (2D) nanosheets into laminar membranes to create nanochannels has attracted widespread attention at fundamental and practical levels for separation technology. Constructing space-tunable and long-term stable sub-nanometer channels provide original systems for nanofluidic investigations and accurate molecular sieving. Although proof-of-concept for nanolaminate membranes has recently been demonstrated, uncontrollable swelling and the presence of pinholes prevent the scaling up of these membranes. Here, we report a scalable strategy for the preparation of non-swelling covalently functionalized molybdenum disulfide (MoS2) membranes with tunable interlayer space. The capillary height of nanochannels was precisely tuned from 3.5 to 7.7 Å, controlled by the nature of the functional groups attached on the MoS2 nanosheets, which exhibit minimal swelling in water. We evaluated the relationship between the capillary height, the surface chemistry, the stacking disorder and the sieving behaviors of the membranes in forwards osmosis (FO). We found that water permeation is strictly controlled by the capillary height of the nanochannels and the stacking disorder of the nanosheets. By combining experimental investigations and numerical simulations, we identified that the functionalization with aryl groups induces the formation of an interlayer space of 7.1 Å and interlayer stiffness as low as 5.6 eV Å-2, leading to controlled stacking defects. We report the fabrication of membranes up to 45 cm2, which demonstrate a salt rejection as high as 94.2% for a continuous operating time of 7 days. Our work presents a desalination strategy in FO with a specific energy consumption (SEC) of 4 × 10-3 kWh m-3, which compares favorably with commercial FO membranes. We anticipate that this opens avenues for the development of FO membranes for desalination based on nanolaminated structure.
Natural Language Processing as a Predictor of Mortality in Intensive Care Unit Patients
Authors: Fusaro Mario V. , Becker Christian , Miller Daniel , Finkel Evan , Hassan Ibrahim F. , Scurlock Corey 
Published: May 2022

Abstract
Background: Artificial intelligence, specifically machine learning, has led to a series of medical publications in recent years. Several studies have used physiologic parameters with machine learning algorithms to derive robust clinical prediction tools. The goal of this study was to use natural language processing in conjunction with physiologic parameters to analyze clinical text data and create a clinical prediction tool. Research Question: Can a natural language processing machine learning based clinical prediction tool accurately predict ICU mortality with relatively limited sample size?Study Design and Methods: Three machine learning classifiers including a support vector machine (SVM), XGBoost Tree, and logistic regression were used to determine probability of hospital mortality in patients admitted to the intensive care unit (ICU) using physician notes and patient physiologic parameters. Discrimination for the binary outcome of life or death will be measured using receiver operating characteristic-area under the curve (AUC). Calibration will be assessed using chi-square goodness of fit.Results: 7,555 patients were available for analysis with 5,288 being included in the derivation set and 2,267 in the validation set. Using the SVM algorithm, the AUC for hospital mortality was 0.895 (95% CI, 0.850-0.940). Calibration was also acceptable with chi square of 7.94 and p = 0.54. The XGBoost Tree algorithm resulted in the best discrimination for mortality with an AUC of 0.912 (95% CI, 0.881-0.943), but calibration was poor. Logistic regression resulted in an AUC of 0.868 (95% CI, 0.827-0.909) but calibration was also poor.Conclusions: A support vector machine learning algorithm can use patient chart data, lab values, and physiologic parameters to generate a clinical prediction tool to predict mortality in ICU patients with a relatively limited dataset. For this study, SVM was superior to logistic regression which is used in many traditional ICU risk predictors.
Treated domestic effluents for non-potable reuse: microbial risk assessment and economic viability
Authors: Santos Luciene da Silva , Souza Hugo Henrique de Simone , Amoah Isaac Dennis , Magri Maria Elisa , Ide Carlos Nobuyoshi , Paulo Paula Loureiro 
Published: May 2022

Abstract
Although water quality can be ensured for various pollutant removal processes, concerns regarding microbial pathogens can set very high-quality standards for treated wastewater rendering the practice financially unfeasible. In this study, we applied quantitative microbial risk assessment and net present value methodologies to evaluate the economic viability and safety of wastewater treatment to produce water for reuse. Under the evaluated conditions, even though applying tertiary treatments (such as chlorination, ozonation, or UV radiation) for non-potable reuse purposes presents higher investment costs, it could offer a faster return on investment as a result of the greater income derived from the sale of the treated wastewater, and consequently, reduce the risk of exposure to pathogens. An economic viability analysis revealed payback periods of three to over 15 years for investment in the universalisation of sanitation services in the selected municipalities, wherein the most feasible scenarios were those in which water reuse was carried out at its maximum potential. We evaluated the reuse potential of treated wastewater in terms of reduced concentrations of Escherichia coli and observed that effluents treated by six wastewater treatment plant configurations (involving secondary treatment processes) could be used for restricted crop irrigation, with disability-adjusted life years (DALYs) of 9.20E03 ± 4.59E05 related to the risk of infection to the farmers. The application of additional disinfection procedures indicated that treated wastewater could be reused for unrestricted and restricted urban and agricultural uses, with corresponding DALYs of 1.35E05 ± 6.73E08 for the same group.
Pulmonary pleura metastasis from low-grade appendiceal mucinous neoplasm with appendiceal neuroendocrine tumor: A Case Report
Authors: Gao Jie , Fan Ruirui , Lu Mingzhi 
Published: May 2022

Abstract
According to the recent World Health Organization (WHO) classification, appendiceal mucinous tumours include low-grade mucinous appendiceal neoplasm (LAMN), high-grade mucinous appendiceal neoplasm (HAMN), and mucinous adenocarcinoma. LAMN is almost the rarest appendiceal tumor with an incidence of about 0.7–1.7%. A ruptured appendiceal mucinous neoplasm can lead to progressive accumulation of mucus in the peritoneal cavity, resulting in pseudomyxoma peritoneum (PMP) with the chance of metastasis and recurrence. Appendiceal neuroendocrine tumor (ANET) is the most frequent appendiceal lesion. A collision between LAMN and ANET is an exceedingly rare condition. So far, evaluating the literature, just 10 cases of collision LAMN and ANET have been reported. Here, we report a case of pulmonary pleura metastasis from LAMN with ANET. Our work will help to improve the accuracy of the diagnosis and avoid misdiagnosis.
Effects of combined RNAi targeting human survivin with hypoxia-inducible factor 1α on gastric cancer BGC-823 cells
Authors: Mu Runhong , Li Yupeng , Chang Mingzhu , Zhu Jianyu , Lin Rui , Ye Siping , Guo Xiao 
Published: May 2022

Abstract
Objective
To investigate the effects of combined RNAi targeting human survivin with hypoxia-inducible factor 1α on gastric cancer BGC-823 cells.
Methods
The hypoxia sensitive gastric cell line BGC-823 was identified firstly. Under hypoxia condition, the survivin targeting siRNA or/and HIF-1α targeting siRNA were transfected into BGC-823 cells. The expression of survivin and HIF-1α were assessed by RT-PCR and Western blotting assay respectively. Cell apoptosis were determined by flow cytometry. Cell proliferation was measured by MTT assay. The abilities of invasion and migration were evaluated by transwell assays and wound healing assays respectively.
Results
The HIF-1α expression of BGC-823 cell increased apparently in the 3 cell lines under hypoxia condition. The survivin targeting siRNA transfection decreased the expression of survivin under hypoxia condition, the combined transfection of survivin targeting siRNA and HIF-1α targeting siRNA down-regulated both the expression of survivin and HIF-1α obviously. Compared with the blank control group, the combined siRNA transfection group displayed obvious features with decreased invasion and migration ability under hypoxia, .the apoptosis rate increased and the cell proliferation decreased obviously.
Conclusion
The down-regulation of survivin and HIF-1α in BGC-823 cell lines may induce an anticancer effect by enhancing cell apoptosis, and decreases the proliferation,migration and invasion ability.
Establishment and identification of patient-derived xenograft model for oral squamous cell carcinoma
Authors: He Fei , Zhou Xiongming , Huang Gan , Jiang Qingkun , Wan Li , Qiu Jiaxuan 
Published: May 2022

Abstract
Objective:The study aim to construct patient-derived xenograft model of oral squamous cell carcinoma and to characterize whether it retained the clinicopathological features of the primary tumor.Materials and methods:The patient-derived xenograft model of oral squamous cell carcinoma was constructed by inoculating the surgically excised oral squamous cell carcinoma tissue under the skin of immunodeficient mice with special treatment, and the P1-P3 generations were used for seeding and identification. The tumor tissues of patient-derived xenograft model were identified by both hematoxylin–eosin staining and immunohistochemistry to to determine the histomorphological consistency and molecular phenotypic similarity between the patient-derived xenograft model and the primary tumor tissues.Results:Hematoxylin–eosin staining and immunohistochemical results showed that the pathological features and molecular phenotypic characteristics of the patient-derived xenograft model of oral squamous cell carcinoma were consistent with the primary tumor tissue.Conclusion:In this study, patient-derived xenograft model of oral squamous cell carcinoma that retains the clinicopathological characteristics of the primary tumor tissue was successfully constructed and can be stably transmitted.Clinical relevance:The patient-derived xenograft model of oral squamous cell carcinoma established in this study has significant implications for the study of oral squamous carcinoma, the personalized treatment of patients and the development of new anti-tumor drugs.Oral squamous cell carcinoma is the most common malignancy of the head and neck with high morbidity and mortality. At present, platinum-based chemotherapy is the conventional chemotherapy regimen for patients with oral squamous cell carcinoma. However, due to the heterogeneity of tumors and individual differences of patients, chemotherapy regimens lacking individualized evaluation of tumor patients are often less effective. Therefore, personalized tumor chemotherapy is one of the effective methods for the treatment of malignant tumors in the future. Patient-derived xenograft model is a relatively new tumor xenograft model, which relies on immunodeficient mice to retain the characteristics of the primary tumor. Therefore, patient-derived xenograft model combined with drug screening technology to explore new tumor chemotherapy is the key research direction of future tumor treatment. In this study, patient-derived xenograft model of oral squamous cell carcinoma was successfully established, and it was verified by hematoxylin–eosin staining and immunohistochemistry that the constructed patient-derived xenograft model retained the pathological and molecular biological characteristics of primary tumors.
Maximum and mean standardized uptake values of medication-related osteonecrosis of the jaw with bone SPECT/CT: comparison of mandibular pathologies, control and temporomandibular joints
Authors: Minami Yoshiyuki , Ogura Ichiro 
Published: May 2022

Abstract
Objectives The aim of this study was to investigate maximum and mean standardized uptake values (SUVs) of medication-related osteonecrosis of the jaw (MRONJ) with bone SPECT/CT, especially comparison of mandibular pathologies, control and temporomandibular joints. Materials and methods Thirty-nine mandibular patients with MRONJ underwent bone SPECT/CT. The maximum and mean SUVs of the mandibular lesions using a workstation and software (Xeleris 4DR and Q. Volumetrix MI) were compared by Friedman test with Bonferroni method or Mann-Whitney U test. A p value lower than 0.05 was considered as statistically significant. Results The maximum and mean SUVs for opposite side of the lesions (4.4 ± 2.2 and 1.7 ± 0.8) were significantly lower than those for mandibular lesions (17.5 ± 7.7, p ＜ 0.001 and 6.3 ± 3.0, p ＜ 0.001), right side of the lesions (8.1 ± 4.4, p = 0.001 and 2.9 ± 1.5, p = 0.001) and left side of the lesions (8.2 ± 4.2, p = 0.001 and 2.9 ± 1.5, p = 0.001), respectively. Furthermore, the maximum and mean SUVs of the mandibular lesions were a significant difference for age, gender, and underlying disease.Conclusions The maximum and mean SUVs using Xeleris 4DR and Q. Volumetrix MI may be useful in clinical practice for the quantitative management of patients with MRONJ. Clinical relevance SPECT/CT SUVs plays an important role in assessing MRONJ for the quantitative evaluation.
Caves provide early warning of unprecedented decrease in rainfall recharge of groundwater
Authors: Priestley Stacey , Treble Pauline , Griffiths Alan , Baker Andy , Abram Nerilie , Meredith Karina 
Published: May 2022

Abstract
Billions of people worldwide rely on groundwater. As rainfall in many regions in the future is projected to decrease, it is critical to understand the impacts of climate change on groundwater recharge. In this study, five caves record a consistent response to a sustained decrease in rainfall across southwest Australia that began in the late 1960s, characterised by a pronounced increase or ’uptick’ in dripwater and speleothem oxygen isotopic composition (δ18O). It is demonstrated that the uptick is in response to the shallow karst aquifers becoming disconnected from recharge due to regional drying. Our findings imply that rainfall recharge to groundwater across this region is no longer reliably occurring. Examination of the longer speleothem record shows that this is unprecedented over at least the last 800 years. A global network of cave dripwater monitoring would serve as an early warning of reduced groundwater recharge elsewhere, while evidence for upticks in speleothem paleoclimate records would provide a longer-term context to evaluate if current groundwater recharge changes are outside the range of natural variability. This study also validates speleothems as recorders of past hydroclimate via amplification of the δ18O signal by karst hydrology highlighting that speleothem δ18O are records of recharge, rather than a direct proxy for rainfall.
Using short-interval landslide inventories to build short-term and overall spatial prediction models for earthquake-triggered landslides based on machine learning for the 2018 Lombok earthquake sequence
Authors: Xue Changhu , Chen Kejie , Tang Hui 
Published: May 2022

Abstract
During an earthquake sequence, there are often multiple recurring landslides. Understanding the spatial distribution of the landslides triggered by the first earthquake can help us predict the landslide susceptibility for subsequent shakes over a short term. This study used two landslide inventories from the Lombok earthquake sequence in Indonesia in 2018 to construct a short-term secondary disaster prediction model and an overall spatial prediction model using four machine learning algorithms. The average accuracy of the positive samples predicted by the prediction model was 7.1% lower than that of the short-term model. The highest accuracy of the overall prediction model was 14.9% higher, on average, and the area under the ROC curve (AUC) score was 8.1% higher, on average, but the corresponding probability thresholds were lower. The reason for this difference is that, in the short-term prediction model, since most of the landslides in the first landslide inventory were prone to fail two or more times due to the effect of multiple earthquakes, the prediction results have a high positive rate. This feature of the short-term prediction model makes it suitable for landslide rescue guidance in a sequence of earthquakes. In contrast, the overall prediction model can better represent the spatial distribution of the earthquake-triggered landslides in the area.