bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of corrosion life of nitrogen blanket casing in salt cavern gas storage
Authors: Wan Liping , Wang Bohui , Xie Meng , Hu Cheng , Wen Yunfei 
Published: May 2022

AbstractIn this paper, to analyze the oxygen corrosion of the casing string under the nitrogen blanket condition of the salt cavern underground gas storage and to predict the casing's service life, an indoor corrosion weight‐loss experiment was used to study the effects of oxygen concentration, temperature, and pressure on the gas and liquid phase of N80 steel pipe corrosion laws. The corrosion products were examined using scanning electron microscopy, X‐ray fluorescence spectroscopy, and X‐ray diffraction analyses. Finally, the corrosion life of the casing was predicted based on the uniform corrosion rate and casing strength check. The results indicated the following: (1) under the experimental conditions, the gas–liquid two‐phase corrosion rate gradually decreased with the increase in nitrogen concentration, while when the concentration was 78%–95%, the liquid‐phase corrosion was serious, and in the liquid nitrogen environment (nitrogen concentration is 99.9%), the liquid‐phase corrosion rate was lower than the oilfield corrosion control index (0.076 mm/a); (2) the temperature and pressure had no significant effect on the casing corrosion; (3) with the increase in nitrogen concentration, the service life of the inner and outer pipes under different working conditions gradually increased, with the minimum service life equaling 28 years when the concentration was 99.99%; (4) nitrogen concentrations of 99.99%, 95%, 90%, and 78% can meet the column strength of the 3‐year cavity‐building cycle, while under the 5‐year cavity‐building cycle, it is recommended that the lower limit of the purity is 90%. Overall, the research results will provide a strong information basis for the construction of salt cavern gas storage cavities.
Multi‐objective economic/emission optimal energy management system for scheduling micro‐grid integrated virtual power plant
Authors: Lamari Mohamed , Amrane Youssouf , Boudour Mohamed , Boussahoua Bouziane 
Published: May 2022

AbstractDue to rapid socioeconomic growth and current environmental concerns, reducing global greenhouse gas emissions is a key step toward sustainable development. In recent years, some researchers have begun to adopt new grid management technologies such as virtual power plants (VPP) that allow them to improve energy management and cost and reduce gas emissions. The integration of distributed energy resources (DER), such as solar photovoltaic and wind power, combined with micro‐turbines and energy storage systems and with the support of VPP intelligence, will contribute immensely to improving micro‐grids (MGs) energy performance and reducing gas emissions. In this paper, an expert multi‐objective feasibility enhanced particle swarm optimization algorithm is adopted for the optimal scheduling of energy management system to reduce the total operating cost and net emission simultaneously. The proposed algorithm is tested on an Algerian reel building‐MG integrated VPP with DERs and combined cooling, heat, and power generation. Finally, different cases are simulated for a 24‐h time and discussed to demonstrate the validity of the proposed VPP energy system and the effectiveness of the adopted algorithm to reduce gas emissions and the total operating cost.
Impact of electric vehicles and realistic dish‐Stirling solar thermal system on combined voltage and frequency regulation of multiarea hydrothermal system
Authors: Dekaraja Biswanath , Saikia Lalit Chandra 
Published: May 2022

AbstractThe effective and reliable operation of an interconnected power system (PS) is a major concern, because of the large amount of power contribution from the intermittent renewable energy sources to the power grid. Energy storage (ES) devices are employed to enhance the reliability of the PS operation. Electric vehicles (EVs) are a novel type of distributed ES device that may be utilized to compensate for power imbalances. This paper discusses the participation of EVs for combined frequency and voltage control under conventional PS along with a thermal, hydro, realistic dish‐Stirling solar thermal system (RDSTS). Appropriate physical constraints such as governor dead band and generation rate constraints are equipped with thermal and hydro plants, and communication delay between the generating unit and load dispatch center is considered. An aggregate EVs model, RDSTS, and a new cascade controller named fractional‐order proportional‐derivative with filter coefficient cascaded with tilt‐integral‐derivative (CFOPDN‐TID) controller are provided in all areas for various studies. An artificial flora algorithm is employed to determine the optimal value of the various controller parameters under several scenarios. The system dynamics of the CFOPDN‐TID controller outperform the proportional‐integral‐derivative (PID) and TID controllers under various conditions. The incorporation of EVs improves the system performance in terms of less settling time, and peak deviation, and reduce oscillations. The system performance degrades with increases in the communication time delay of the EVs. The integration of RDSTS into the system provides better dynamics than the dish‐Stirling solar thermal system. Numerous studies have been conducted to validate the robustness of the proposed CFOPDN‐TID controller.
A ferry mobility based direction and time‐aware greedy delay‐tolerant routing (FM‐DT‐GDR) protocol for sparse flying ad‐hoc network
Authors: Agrawal Juhi , Kapoor Monit , Tomar Ravi 
Published: May 2022

AbstractFlying Ad‐hoc Networks (FANETs) play a major role in various civilian and non‐civilian applications especially in search and rescue operations after natural disasters. Unmanned aerial vehicles (UAVs) collect critical information in the form of images and videos from disaster areas and send it to the ground station (GS) for immediate rescue operations. UAVs capture the information and send it to the GS to carry out the rescue operations without any delay. A small number of UAVs operate over a large geographic area for rescue operations when a sudden natural disaster occurs that creates a sparse or intermittent network. Therefore, routing is the most challenging issue in sparse FANETs due to the low‐node density network and high mobility of UAVs Existing routing protocols for connected or dense FANETs cannot be directly adopted in extremely sparse FANETs. Only a few works exist that focus on sparse networks as most of the work is based on connected networks. Traditional routing algorithms for sparse FANETs are based on a flood‐based strategy that creates unnecessary delays in the network. Some recently developed routing algorithms directly adopt greedy‐based forwarding for routing in sparse networks and consider the non‐realistic assumption without considering delay as a significant constraint of search and rescue operations. This paper presents a novel ferry mobility‐based direction and time‐aware greedy delay‐tolerant routing (FM‐DT‐GDR) protocol for data transfer to GS during disaster relief operations in the sparse FANETs without delay. FM‐DT‐GDR uses a store, carry, and forward (SCF) mechanism to prevent data loss when no neighbors are present. Upon receiving the beacon from the ferry node, the search nodes calculate the nearest destination from their location between the ferry and the GS and send the data accordingly. The ferry collects data from the search UAVs and sends it to the GS. Optimized ferry trajectories significantly improve route availability between GS and search UAVs Furthermore, the proposed routing scheme efficiently selects the forwarder node to send the data to the selected destination without any delay. FM‐DT‐GDR provides significant improvements in packet delivery ratio, routing overhead, and end‐to‐end delay compared to traditional routing protocols.
Direct chemical editing of Gram‐positive bacterial cell walls via an enzyme‐catalyzed oxidative coupling reaction
Authors: Jia Hao‐Ran , Zhu Ya‐Xuan , Liu Yi , Guo Yuxin , Sayed Sayed Mir , Zhu Xiao‐Yu , Cheng Xiaotong , Wu Fu‐Gen 
Published: May 2022

AbstractChemically manipulating bacterial surface structures, a cutting‐edge research direction in the biomedical field, predominantly relies on metabolic labeling by now. However, this method may involve daunting precursor synthesis and only labels nascent surface structures. Here, we report a facile and rapid modification strategy based on a tyrosinase‐catalyzed oxidative coupling reaction (TyOCR) for bacterial surface engineering. This strategy employs phenol‐tagged small molecules and tyrosinase to initiate direct chemical modification of Gram‐positive bacterial cell walls with high labeling efficiency, while Gram‐negative bacteria are inert to this modification due to the hindrance of an outer membrane. By using the biotin‒avidin system, we further present the selective deposition of various materials, including photosensitizer, magnetic nanoparticle, and horseradish peroxidase, on Gram‐positive bacterial surfaces, and realize the purification/isolation/enrichment and naked‐eye detection of bacterial strains. This work demonstrates that TyOCR is a promising strategy for engineering live bacterial cells.
High‐order numerical method for 2D biharmonic interface problem
Authors: Tavakoli Tameh Mahboubeh , Shakeri Fatemeh 
Published: May 2022

AbstractWe present a robust and effective method for the numerical solution of the biharmonic interface problem with discontinuities in both the solution and its derivatives. We use a mixed scheme, in which the biharmonic equation is decoupled to two Poisson equations. The proposed approach is based on the method of difference potentials combined with finite difference schemes on regular structured grid to solve this problem with high‐order accuracy on nonconforming domains. Representative numerical experiments confirm the accuracy and effectiveness of the proposed method and its ability to handle problems with coupled equations.
Stellate ganglion intervention for chronic pain: A review
Authors: Luo Qingyang , Wen Song , Tan Xinran , Yi Xi , Cao Song 
Published: May 2022

AbstractStellate ganglion (SG) intervention is currently widely being studied in many kinds of chronic pain. As one of the convenient ways to treat the sympathetic nervous system, the indications for stellate ganglion intervention (SGI) include complex regional pain syndrome, postherpetic neuralgia, cancer pain of different origins, orofacial pain, and so forth. SGI refers to the reversible or irreversible blocking of the cervical sympathetic trunk, cervical sympathetic ganglion, and their innervation range through noninvasive or minimally invasive treatment. Current treatment options include stellate ganglion block (SGB), SG pulsed radiofrequency, continuous radiofrequency treatment, and noninvasive SGB. In particular, SGB continues to be one of the most studied methods in chronic pain management. However, a single SGB usually provides only short‐term effects; repeated SGB may result in complications such as hoarseness, light‐headedness, and vessel or nerve injury. Meanwhile, the mechanism of SGI is still unclear. This review discusses the research progress of SGI methods, effectiveness, complications, and possible mechanisms in the management of chronic pain.
Distinguishing the pros and cons of metabolic reprogramming in oncolytic virus immunotherapy
Authors: Wang Shiqun , Wei Jiwu 
Published: May 2022

AbstractOncolytic viruses (OVs) represent a class of cancer immunotherapies that rely on hijacking the host cell factory for replicative oncolysis and eliciting immune responses for tumor clearance. An increasing evidence suggests that the metabolic state of tumor cells and immune cells is a putative determinant of the efficacy of cancer immunotherapy. However, how therapeutic intervention with OVs affects metabolic fluxes within the tumor microenvironment (TME) remains poorly understood. Herein, we review the complexities of metabolic reprogramming involving the effects of viruses and their consequences on tumor cells and immune cells. We highlight the inherent drawback of oncolytic virotherapy, namely that treatment with OVs inevitably further exacerbates the depletion of nutrients and the accumulation of metabolic wastes in the TME, leading to a metabolic barrier to antitumor immune responses. We also describe targeted metabolic strategies that can be used to unlock the therapeutic potential of OVs.
Immune‐related conditions and cancer‐specific mortality among older adults with cancer in the United States
Authors: Wang Jeanny H. , Derkach Andriy , Pfeiffer Ruth M. , Engels Eric A. 
Published: May 2022

AbstractImmunity may play a role in preventing cancer progression. We studied associations of immune‐related conditions with cancer‐specific mortality among older adults in the United States. We evaluated 1 229 443 patients diagnosed with 20 common cancer types (age 67‐99, years 1993‐2013) using Surveillance Epidemiology and End Results‐Medicare data. With Medicare claims, we ascertained immune‐related medical conditions diagnosed before cancer diagnosis (4 immunosuppressive conditions [n = 3380 affected cases], 32 autoimmune conditions [n = 155 766], 3 allergic conditions [n = 101 366]). For each cancer site, we estimated adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for cancer‐specific mortality associated with each condition, applying a Bonferroni cutoff for significance (P < 5.1 × 10−5). Bayesian metaanalysis methods were used to detect patterns across groups of conditions and cancers. We observed 21 associations with cancer‐specific mortality at the Bonferroni threshold. Increased cancer‐specific mortality was observed with rheumatoid arthritis for patients with melanoma (aHR 1.51, 95% CI 1.31‐1.75) and breast cancer (1.24, 1.15‐1.33)), and with hemolytic anemia for bladder cancer (2.54, 1.68‐3.82). Significant inverse associations with cancer‐specific mortality were observed for allergic rhinitis (range of aHRs: 0.84‐0.94) and asthma (0.83‐0.95) for cancers of the lung, breast, and prostate. Cancer‐specific mortality was nominally elevated in patients with immunosuppressive conditions for eight cancer types (aHR range: 1.27‐2.36; P‐value range: 7.5 × 10−5 to 3.1 × 10−2) and was strongly associated with grouped immunosuppressive conditions using Bayesian metaanalyses methods. For older patients with several cancer types, certain immunosuppressive and autoimmune conditions were associated with increased cancer‐specific mortality. In contrast, inverse associations with allergic conditions may reflect enhanced immune control of cancer.
Racial disparities in epithelial ovarian cancer survival: An examination of contributing factors in the Ovarian Cancer in Women of African Ancestry consortium
Authors: Harris Holly R. , Guertin Kristin A. , Camacho Tareq F. , Johnson Courtney E. , Wu Anna H. , Moorman Patricia G. , Myers Evan , Bethea Traci N. , Bandera Elisa V. , Joslin Charlotte E. , Ochs‐Balcom Heather M. , Peres Lauren C. , Rosenow Will T. , Setiawan Veronica W. , Beeghly‐Fadiel Alicia , Dempsey Lauren F. , Rosenberg Lynn , Schildkraut Joellen M. 
Published: May 2022

AbstractBlack women diagnosed with epithelial ovarian cancer have poorer survival compared to white women. Factors that contribute to this disparity, aside from socioeconomic status and guideline‐adherent treatment, have not yet been clearly identified. We examined data from the Ovarian Cancer in Women of African Ancestry (OCWAA) consortium which harmonized data on 1074 Black women and 3263 white women with ovarian cancer from seven US studies. We selected potential mediators and confounders by examining associations between each variable with race and survival. We then conducted a sequential mediation analysis using an imputation method to estimate total, direct, and indirect effects of race on ovarian cancer survival. Black women had worse survival than white women (HR = 1.30; 95% CI 1.16‐1.47) during study follow‐up; 67.9% of Black women and 69.8% of white women died. In our final model, mediators of this disparity include college education, nulliparity, smoking status, body mass index, diabetes, diabetes/race interaction, postmenopausal hormone (PMH) therapy duration, PMH duration/race interaction, PMH duration/age interaction, histotype, and stage. These mediators explained 48.8% (SE = 12.1%) of the overall disparity; histotype/stage and PMH duration accounted for the largest fraction. In summary, nearly half of the disparity in ovarian cancer survival between Black and white women in the OCWAA consortium is explained by education, lifestyle factors, diabetes, PMH use, and tumor characteristics. Our findings suggest that several potentially modifiable factors play a role. Further research to uncover additional mediators, incorporate data on social determinants of health, and identify potential avenues of intervention to reduce this disparity is urgently needed.
Review and update of a Nutrient Transfer model used for estimating nitrous oxide emissions from complex grazed landscapes, and implications for nationwide accounting
Authors: Vibart Ronaldo , Giltrap Donna , Saggar Surinder , Mackay Alec , Betteridge Keith , Costall Des , Rollo Mike , Draganova Ina 
Published: May 2022

AbstractIn New Zealand, nitrous oxide emissions from grazed hill pastures are estimated using different emission factors for urine and dung deposited on different slope classes. Allocation of urine and dung to each slope class needs to consider the distribution of slope classes within a landscape and animal behavior. The Nutrient Transfer (NT) model has recently been incorporated into the New Zealand Agricultural GHG Inventory Model to account for the allocation of excretal nitrogen (N) to each slope class. In this study, the predictive ability of the transfer function within the NT model was explored using urine deposition datasets collected with urine sensor and GPS tracker technology. Data were collected from three paddocks that had areas in low (<12°), medium (12–24°), and high slopes (>24°). The NT model showed a good overall predictive ability for two of the three datasets. However, if the urine emission factors (% of urine N emitted as N2O–N) were to be further disaggregated to assess emissions from all three slope classes or slope gradients, more precise data would be required to accurately represent the range of landscapes found on farms. We have identified the need for more geospatial data on urine deposition and animal location for farms that are topographically out of the range used to develop the model. These new datasets would provide livestock urine deposition on a more continuous basis across slopes (as opposed to broad ranges), a unique opportunity to improve the performance of the NT model.
Design and fabrication of electrochemical sensor based on molecularly imprinted polymer loaded onto silver nanoparticles for the detection of 17‐β‐estradiol
Authors: Regasa Melkamu Biyana , Nyokong Tebello 
Published: May 2022

AbstractIn this research report, we prepared an electrochemical sensor based on the molecularly imprinted poly(p‐aminophenol) supported by silver nanoparticles capped with 2‐mercaptobenzoxazole for the selective and sensitive detection of endocrine disrupting 17‐β‐estradiol (E2). The electropolymerization of the functional monomer prepared the proposed molecularly imprinted polymer (MIP) composite‐based sensor in the presence of E2 as a template. The recognition materials were characterized using Fourier transform infrared, cyclic voltammetry (CV), square wave voltammetry (SWV), scanning electron microscopy, energy‐dispersive X‐ray spectroscopy and X‐ray powder diffraction techniques. The electrochemical measurements were performed by employing both CV and SWV methods. We did the optimization of critical parameters affecting the sensor performances through the experimental design and verification. The developed sensor showed a linear range from 10 pM to 100 nM with the calculated quantification and detection limits of 1.86 and 6.19 pM, respectively. The incorporation of AgNP with high electrical conductivity into the MIP matrix enhanced the sensor's performance. Furthermore, the sensor was applied to determine E2 in real water samples without any sample preconcentration steps to achieve the percent recovery of 91.87% to 98.36% and acceptable reusability and storage stability performances.
Prevalence of sarcopenia in patients with solid tumors: A meta‐analysis based on 81,814 patients
Authors: Surov Alexey , Wienke Andreas 
Published: May 2022

AbstractBackgroundThe purpose of the present meta‐analysis was to analyze the prevalence of sarcopenia on staging computed tomography (CT) in patients with different malignant solid tumors and in different oncologic settings based on a large sample.MethodsMEDLINE, Cochrane, and SCOPUS literature databases were screened for prevalence of sarcopenia in oncologic patients up to December 2021. Overall, 280 studies met the inclusion criteria. The methodological quality of the involved studies was checked according to the Quality Assessment of Diagnostic Studies instrument. The meta‐analysis was undertaken by using RevMan 5.4 software. DerSimonian and Laird random‐effects models with inverse‐variance weights were used.ResultsThe included 280 studies comprised 81,814 patients with different tumors. The prevalence of sarcopenia over all included studies was 35.3%. A prevalence of sarcopenia >50% was identified in esophageal cancer, urothelial cancer, cholangiocarcinoma, prostate cancer, sarcomas, and thyroid cancer. In head and neck squamous cell carcinoma, pancreatic cancer, lung cancer, renal cell cancer, and ovarian cancer, the prevalence of sarcopenia varied between 35% and 50%. In colorectal cancer, gastric cancer, hepatocellular cancer, and breast cancer, the prevalence of low skeletal muscle mass was <35%. In curative setting, the prevalence of sarcopenia was 39.6% and in palliative setting, it was 49.2% (P< 0.001).ConclusionsSarcopenia is a frequent condition in oncology with a prevalence of 35.3%. The prevalence of sarcopenia is higher in palliative setting vs curative setting. The prevalence of sarcopenia is also different in different tumors.
A novel determination method of quaternary ammonium oxime reactivators and their blood–brain barrier permeability evaluation by surface‐enhanced Raman spectrometry
Authors: Li Nannan , Xie Sizhe , Wu Jianfeng , Yang Jun , Liu Yulong , Wen Mingjie , Zhao Yunli , Xu Yongnan , Xie Jianwei 
Published: May 2022

AbstractThe quaternary ammonium oxime reactivators are a class of important reactivators for nerve agents poisoning, and their sensitive and specific analysis in biomedical samples meets many challenges due to their highly polar properties. In present paper, a novel determination method based on surface‐enhanced Raman spectrometry (SERS) was developed for series of quaternary ammonium oxime reactivators. The self‐cleaning effect of iodine anion on the surface of porous shell‐insulated nanoparticles and the electrostatic adsorption effect were proved to be effective to remove the strong interference of protein and other coexisting substances and significantly improve the response intensity and fingerprint feature of Raman peaks. The analysis of five important quaternary ammonium oxime reactivators (PAM‐Cl, TMB‐4, MMB‐4, HI‐6, LüH6) was achieved in biomedical samples, which had the merit of simple sample pretreatment, rapid speed, high sensitivity, and fingerprint peak characteristics. The detection limits reached values of as low as 0.5 ng·mL−1 for dipyridyl quaternary ammonium oxime reactivators. The method has been successfully used for blood concentration monitoring in vivo and evaluation of the liposomes drug delivery ability to penetrate the blood–brain barrier in mice.