bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Challenges with Drilling Real-Time Data and Proposed Data Management Framework
Authors: Alzahrani Majed A. , Contreras Otalvora William B. , Alotaibi Bader M. , Aman Beshir 
Published: October 2022

Abstract
One of the main pillars of the fourth industrial revolution (IR4.0) is the utilization of Internet of Things (IoT) components, which is a broad type of devices that include most types of sensors. These sensors are measuring primary physical states and transmitting their readings to a data acquisition system, which then supplies these data to consuming applications. In modern organizations, these applications are designed to use the sensors’ data to produce information that can be used by systems and users to make critical decisions. The effectiveness of the made decisions relies on the accuracy and quality of the gathered data from the used sensors. For this reason, the management of the streamed sensor data is crucial.
In this paper, a Real-Time Data Management framework is proposed. The framework manages several key components of the data journey, such as data transmission standards, data quality protocol, communication infrastructure monitoring and automated notification process to address any issue in real-time. The first step is to transform all rigs to adopt the latest industrial standards for drilling real-time sensors data transmission. Then establish a data quality measurement using a set of different metrics that can reflect an objective explanation of the state of a given data streamed by a sensor or a system of connected sensors. It also helps in troubleshooting a faulty system and identify the nature of the problem and the root cause of it, especially in large systems with thousands of connected sensors. Finally, real-time monitoring of the full journey of the data and its components and notify relevant teams as issues rises.
Successful employment of the automated drilling real-time data management framework will result in an autonomous process to manage a large fleet of operating rigs with minimal to no human intervention. It will also enable the full utilization of high-quality data for many successful IR4.0 solutions.
In this paper, a wide group of real-time data quality assessment measures are discussed to show their importance and application. These measures will help data managers find issues in field streamed real-time data. This paper can be a reference for any data quality assessment project as the discussed measures can be applicable to all real-time data types.
Switching to Cruise Control with Next Generation Well Design Software
Authors: Mwansa Peter Levison , Bakhti Sara , Hassan Mohamed Ali , Remmen Per Inge 
Published: October 2022

Abstract
Today, engineers do their well planning and design in multiple applications, requiring them to move the inputs and outputs from one place to another manually. The well targets are identified by a different team in a service provider platform tool. The trajectory is then planned using either a different vendor software. The Statement of Requirements for the well is written in a Word document. Offset well analysis means gathering data and information from software, shared drives, spreadsheets, and the people who last drilled on that asset.
The rest of the well planning is completed with another legacy software, in individual modules for each aspect of design that don't integrate. Much of this is outsourced to "well services suppliers" to either do the full design or validate the internal design. The final execution document (Drilling Program) is completed in word and is typically 50-80 pages long. This is inefficient, and also allows for potential mistakes. If anything changes, all of this has to be re-worked. For example, if the pore pressure and fracture gradient (PPFG) analysis changes, there is no way to alert or notify the engineer that they need to update other parts of the well design (e.g. cementing, etc.). This creates communications challenges internally and with our third party providers. It also leads to sub-optimal well design choices due to an inability to see the full picture.
The objective of this work is to more effectively leverage our past experiences to automate well design basics and deliver consistent performance.
A business case was made to conduct a proof of concept (PoC) to test the ability to automate the well design process. The PoC was successfully completed with the following results: Notable time savings (at least 60%) in design process when compared to current manual process using legacy softwareIntuitive workflow & circular workflow between modulesIntegrated blowout & kill simulationsDemonstrated Automated Well DesignCompatible to integrate with existing well delivery workflow
Our next generation well design software has opened up possibilities that were previously thought to be unattainable – a paradigm shift in the way we run our business.
SmartHSE: Comprehensive AI-Based Safety Monitoring Solution for Work-Sites
Authors: Tamaazousti Youssef , Egorov Dmitry , Benzine Abdallah , Asif Umar , Amri Mohamed , Benaichouche Abed 
Published: October 2022

Abstract
Monitoring HSE violations while focusing on Operations is one of the main targets of every industry. Unfortunately, Humans can be prone to put the focus mainly on operations rather than safety. Therefore, assisting them with an HSE co-pilot in the form of an AI solution alarming them when they tend to compromise on safety, is of huge value.
While many attempts have been made in the literature in terms of Personnel Protective Equipment (PPE), there is no available solution that uses modern deep-learning based video analytics to comprehensively detect multiple type of HSE use-cases. In this paper, we describe our SmartHSE AI solution which leverages Computer-Vision and CCTV cameras to monitor different kind of HSE violations comprehensively and continuously, in real-world scenarios. Here we focus on a use-case of vessels. Our solution, called SmartVessel, can (i) watch people - detect their location and estimate their postures; (ii) detect incidents - person falling on the ground, or more dramatically a man-overboard; (iii) detect hazardous situations - person in a restricted area; and (iv) detect PPEs - person wearing helmet, uniform and lifejacket or not. All these events are automatically and simultaneously detected by our AI. The whole system workflow along is extensively described throughout the article. Also, extensive experiments were conducted, and both quantitative and qualitative results are presented.
Mode Of HIV Exposure and Its Role in The Excess Risk of Neurocognitive Impairment in People Living With HIV: a protocol for systematic review and meta-analysis of case-controlled studies
Authors: Ayu Astri Parawita , Rahadi Arie , Kristian Kevin , Sani Tara Puspitarini , Putra Aditya , Halim Glenardi , Mangkuliguna Ghea , Arum Theresia , Turana Yuda 
Published: October 2022

Abstract
Background
People living with HIV (PLHIV) are at a higher risk of neurocognitive impairment (NI), more prominently in those who delay HIV treatment. Combined antiretroviral treatment (cART) though has been known to be effective in reducing morbidity and mortality, is not yet optimal in controlling NI. Studies have proposed theories explaining the risks, aetiology, and pathogenesis associated with neurocognitive problems of PLHIV and there were different cognitive domains impaired in PLHIV than in those without the infection, in which method of HIV exposure (MoHE) may have a role. This proposed meta-analysis aims at evaluating the excess risk of NI in PLHIV concerning the mode of HIV exposure.
Methods
This protocol was developed following The Preferred Reporting Items for Systematic reviews and Meta-analysis (PRISMA) guidelines and registered in PROSPERO 2021 (CRD42021271358). Literature searches will be conducted in the following electronic databases: Medline (OVID), Embase (OVID), PsycInfo (OVID), Web of Science, ProQuest, as well as OpenGrey and clinical trial databases to identify records relevant to our search terms, published from 1 January 2007 up to 31 May 2021, followed by hand-search of the reference of each selected article. We will include observational cross-sectional or cohort studies examining adolescents (12 years or older) and adults (18 years or older) reporting the proportion of NI. The exposure is HIV diagnosis or documented HIV status at study enrolment. The comparator is HIV negatives age 12 years or older, with contemporaneous study enrolment as the exposed group. The Newcastle Ottawa Scale (NOS) will be applied to assess each selected study's possible risk of bias. The primary outcome will be the number of participants diagnosed with NI by the MoHE in seropositive and seronegative groups.
Discussion
The evidence gathered from the selected studies will be discussed to provide insight into the risk of NI by different MoHE. Despite the significant decrease in the number of HIV related dementia, mild NI cases are still numerous. The MoHE may contribute to cognitive problems, considering different HIV exposures can be associated with specific NI risk factors. However, it is currently unknown whether the MoHE can alter the risk of NI.
Systematic review registration:
PROSPERO 2021 (CRD42021271358)
An Online Calculator for the Prediction of 5-year Survival in Patients with Non-Metastatic Chondrosarcoma Using Machine Learning
Authors: Chen Tailong , Tang Zhongxin , Wang Xudong , Wang Wengang , Zhou Nan 
Published: October 2022

Abstract
Background: Most prior studieshave used conventional statistical techniquessuch asthe nomogram to examine patient prognosis and survival based on the distinct subtypes and primary locations of chondrosarcoma. Nevertheless, few studies have examined overall survival in patients with non-metastatic chondrosarcomas. We aim to develop a machine learning algorithm to evaluate 5-year survival in this cohort and transform the most accurate prediction model into an online calculator for clinical use.
Methods: Between 1975 and 2018, we gathered data on patients with non-metastatic chondrosarcoma from the Surveillance, Epidemiological, and End Result databases. From these data, nine features were used to develop four machine learning models, including the boosted decision tree, support vector machine, bayes point machine, and neural network models, which were then evaluated and compared based on discrimination, calibration, and overall performance.
Results: Ultimately, 1202 patients met our inclusion criteria. With a c statistic of 0.88, a calibration slope of 0.997, a calibration intercept of -0.02, and a Brier score of 0.12, the Bayes point machine performed best overall, and it was integrated into a free, publicly available software interface that can be found at https://bayesglm.shinyapps.io/non-metastatic-chondrosarcoma/.
Conclusion: Although this Bayes point machine-based prediction model has not been externally validated, the online calculator can be used as a reference tool for medical staff as well as patients on survival prediction. External validation of this prediction model should be the focus of future research to improve its credibility.
Degradation of ciprofloxacin by persulfate activated by Fe (Ⅲ) doped BiOCl composite photocatalyst
Authors: Liu Gen , Lin Yingzi , Li Siwen , Shi Chunyan , Zhang Dongyan , Chen Lei 
Published: October 2022

Abstract
Fe-BOC-X photocatalyst was successfully prepared by solvothermal method. The photocatalytic activity of Fe-BOC-X was determined by ciprofloxacin (CIP), a typical fluoroquinolone antibiotic. Under sunlight irradiation, all Fe-BOC-X showed better CIP removal performance than original BiOCl. In comparison, the photocatalyst with iron content of 50 wt% (Fe-BOC-3) has excellent structural stability and the best adsorption photodegradation efficiency. The removal rate of CIP (10 mg/l) by Fe-BOC-3 (0.6 g/L) reached 81.4% within 90 min. At the same time, the effects of photocatalyst dosage, pH, persulfate, persulfate concentration and combinations of different systems (PS, Fe-BOC-3, Vis/PS, Vis/Fe-BOC-3, Fe-BOC-3/PS and Vis/Fe-BOC-3/PS) on the reaction were systematically discussed. Reactive species trapping experiments, electron spin resonance (ESR) signals revealed that the photo-generated holes (\({h^+}\)), hydroxyl radical (\(\bullet OH\)), sulfate radical (\(\bullet S{O_4}^{ - }\)) and superoxide radical (\(\bullet {O_2}^{ - }\)) played an important role in CIP degradation, hydroxyl radicals (\(\bullet OH\)) and sulfate radicals (\(\bullet S{O_4}^{ - }\)) play a major role. Various characterization methods have demonstrated that Fe-BOC-X has larger specific surface area and pore volume than original BiOCl. UV-vis DRS indicate that Fe-BOC-X has wider visible light absorption and faster photocarrier transfer, and provides abundant surface oxygen absorption sites for effective molecular oxygen activation. Accordingly, a large number of active species were produced and participated in the photocatalytic process, thus effectively promoting the degradation of ciprofloxacin. Based on HPLC-MS analysis, two possible decomposition pathways of CIP were finally proposed. The main degradation pathways of CIP are mainly due to the high electron density of piperazine ring in CIP molecule, which is mainly attacked by various free radicals. The main reactions include piperazine ring opening, decarbonylation, decarboxylation and fluorine substitution. This study can better open up a new way for the design of visible light driven photocatalyst and provide more ideas for the removal of CIP in water environment.
Pars Plana Vitrectomy for Tractional Diabetic Macular Edema with or without Internal Limiting Membrane Peeling
Authors: Khattab Abdelrahman Ahmed Ali , Ahmed Mahmoud Mohamed , Hammed Abdallah Hussain 
Published: October 2022

Abstract
Background: To assess the efficacy of pars plana vitrectomy (PPV) in management of tractional diabetic macular edema (DME) and highlight the benefits of additional internal limiting membrane (ILM) peeling.
Methods: This an open-label, prospective, comparative and interventional study that enrolled 50 eyes with tractional DME that underwent PPV were split into two groups: group (A) consisted of 25 eyes that did not have ILM peeling, and group (B) consisted of 25 eyes that did. One, three, and six months after surgery, a postoperative assessment was completed.
Results: Mean best corrected visual acuity (BCVA) in group (A) has improved from (0.89 the logarithm of minimal angle of resolution [LogMAR]) preoperatively to (0.64 LogMAR, p <0.001), and mean central macular thickness (CMT) declined from (471.28μm) to (228.20μm, p <0.001) after six months of PPV. In group (B), mean BCVA has improved from (0.83 LogMAR) preoperatively to (0.58 LogMAR, p <0.001), and mean CMT decreased from (496.84μm) to (226.20μm, p <0.001) after six months of PPV. There were no significant differences between the two groups after 1, 3, and 6 months according to the delta change % of BCVA and CMT. A significant negative correlation was detected between preoperative glycosylated hemoglobin (HbA1c) and BCVA improvement.
Conclusions: PPV surgery is an effective treatment of tractional DME. Additional ILM peeling is not accompanied by extra benefits in a short period. Long-term glycemic control plays a role in vision gain after vitrectomy in diabetic patients.
An IgM-like Inhalable ACE2 fusion protein broadly neutralizes SARS-CoV-2
Authors: Li Wenhui , Liu Juan , Mao Fengfeng , Chen Jianhe , Lu Shuaiyao , Qi Yonghe , Sun Yinyan , Fang Linqiang , Yeung Man Lung , Liu Chunmei , Yu Guimei , Li Guangyu , Liu Ximing , Yao Yuansheng , Huang Panpan , Hao Dongxia , Liu Zibing , Ding Yu , Liu Haimo , Yang Fang , Chen Pan , Sa Rigai , Sheng Yao , Tian Xinxin , Peng Ran , Li Xue , Luo Junmian , Cheng Yurui , Zheng Yule , Lin Yongqing , Song Rui , Jin Ronghua , Huang Baoying , Choe Hyeryun , Farzan Michael , Yuen Kwok-Yung , Tan Wenjie , Peng Xiaozhong , Sui Jianhua 
Published: October 2022

Abstract
Many of the currently available COVID-19 vaccines and therapeutics are not effective against newly emerged SARS-CoV-2 variants. Here, we developed the metallo-enzyme domain of angiotensin converting enzyme 2 (ACE2)—the cellular receptor of SARS-CoV-2—into an IgM-like inhalable molecule (HH-120). HH-120 binds to the SARS-CoV-2 Spike (S) protein with exceptionally high avidity and confers potent and broad-spectrum neutralization activity against all known SARS-CoV-2 variants of concern. HH-120 was successfully developed as an inhaled formulation that achieves appropriate aerodynamic properties for respiratory system delivery, and we found that aerosol inhalation of HH-120 significantly reduced viral loads and lung pathology scores in golden Syrian hamsters infected by the SARS-CoV-2 wild-type strain and the Delta variant. Our study presents a breakthrough for the inhalation delivery of large biologics like HH-120 (molecular weight ~ 1000kDa) and demonstrates that HH-120 can serve as a highly efficacious, safe, and convenient agent against all SARS-CoV-2 variants. Finally, given the known role of ACE2 in viral reception, it is conceivable that HH-120 will be efficacious against additional emergent coronaviruses.
Using percutaneous computed tomography-guided core needle biopsy of liver metastases from gastroenteropancreatic neuroendocrine tumors to identify inter-tumor grading classification heterogeneity
Authors: Chen Chao , Wang Ying , He Xinhong , Li Wentao 
Published: October 2022

Abstract
Background
We used percutaneous computed tomography-guided core needle biopsy (PCT-CNB) of liver metastases from (gastroenteropancreatic neuroendocrine tumors) GEP NETs to identify inter-tumor grading classification heterogeneity.
Methods
We retrospectively investigated 92 patients with liver metastases in GEP NETs using PCT-CNB; 76 patients had tissue from liver and primary sites while 16 had tissue from liver and secondary liver sites. For tissue sampling, Ki-67 immunohistochemistry was performed and grading classifications was determined. Inter-tumor grading classification heterogeneity and associated changes on patient survival were also evaluated.
Results
No procedure-related mortality was recorded during and after biopsy. In 37/92 patients (40.2%), grading classifications changed: 13 patients increased from G1 to G2, 2 increased from G1 to G3, 5 decreased from G2 to G1, 14 increased from G2 to G3, 1 decreased from G3 to G1, and 2 decreased from G3 to G2. Patients with NET G1 or NET G2 grades had better progression-free survival (PFS) and overall survival (OS) when compared with NET G3 grade patients (P=0.001 and P < 0.001, respectively). OS rates at 5 and 10 years were 67.5% and 26.0% for stable G2 patients, but decreased to 46.4% and 23.2% for increased G2 patients (P=0.016).
Conclusion
The PCT-CNB of liver metastases from GEP NETs showed grade differences between the liver tumor and primary site/secondary liver metastases. Also, when G2 increased, OS significantly decreased.
Even Symmetric Chaotic and Skewed Maps as a Technique in Video Encryption
Authors: El-den B. M. , Abdullah Ahmed ِِA. 
Published: October 2022

Abstract

The massive growth and use of digital multimedia through computer networks, including video and images, has increased the demand for protecting this digital data. In order to secure digital video, video encryption is frequently utilized. In this paper, a brand-new video scrambling technique based on two chaotic linearly symmetric maps and one chaotic tent map that has been twisted is suggested. The permutation procedure moves every frame pixel's position using a P-box created by permuting a linearly symmetric chaotic sequence. The diffusion technique employs both linearly symmetric chaos maps and distorted tent maps to create key streams. The keystream closely resembles simple frames because the pixels in the permuted frame indicate which of the two even symmetric chaos maps is replicated each time for the following byte. The information entropy, histogram, neighboring pixel correlation and sensitivity analysis, number of pixel changing regions (NPCR), and unified mean change intensity are used to thoroughly evaluate the recommended method's capacity to improve performance and security (UACI). Comparatively to other methods, the suggested algorithm is resistant to clipping, salt and pepper noise, speckle noise rotation assaults, and clipping. This positive outcome indicates that the plan can be successfully implemented for secure video communication applications.
Active Alleviation of Fatigue Stress on Blades by Adaptively Maneuvered Deformable Trailing Edge Flaps (Dtef)
Authors: Govindan Srinivasa Sudharsan , Natarajan Karthikeyan , Saini Gaurav 
Published: October 2022

Abstract
The concept of ‘Smart Rotor’ is an evolving advancement in wind turbine which enables an intelligent Active flow control in rotor. The Deformable trailing edge flap (DTEF) is a part of smart rotor concept which implements a customized active load control. The trailing edge flap actuator effectively replaces the tedious blade pitch actuation and conserves the actuation energy required for pitching the entire blade. The DTEFs require a fast computing, anticipatory controller for optimally tuning the flap angle with minimal power compromise. This work analyses the performance of advanced control strategies like Model predictive control (MPC), Adaptive MRAC control and DQ controllers. The MRAC controller is found to reduce the fatigue stress by 40% and the MPC controller damps up to 70% more efficiently than the typical feedback controller. The Control strategies are aided by the LiDAR based preview wind data for the active manipulation of trailing edge flap angle \(\left({\theta }_{flap}\right)\) control. The validation of proposed controller is done using power analysis curve and the components fatigue lifetime analysis using MLIFE software. The above analyses are done in NREL Onshore 5 MW FAST wind turbine model which could be interfaced with MATLAB with modified AeroDyn code for active flap deflection.
Effect of Mangrove Complexity and Environmental Variables on Fish Assemblages across a Tropical Estuarine Channel of the Mexican Pacific
Authors: Santamaría-Damián Salvador , Tovilla-Hernández Cristian , Romero-Berny Emilio I. , Damon Anne , Navarro-Martínez Angélica , Ortega-Argueta Alejandro 
Published: October 2022

Abstract
It is assumed that the structural complexity of mangroves plays a determining role on fish assemblages in that ecosystem. However, there is limited evidence for how the interaction between the mangroves and environmental variables affects the assemblage structure and composition, abundance and biomass of fish. The main goal of this study was to test whether fish assemblages vary between sectors of mangroves located at different distances from the mouth of the estuary and between root microhabitats and seasons, and to analyze the role of environmental characteristics in these variations. In the Boca del Cielo-San José estuarine channel (Chiapas, Mexico), fish assemblages were sampled during high tide during 2019–2020, within mangroves in three sectors of the channel (lower, middle and upper), while mangrove complexity index, dominance of stilt roots or pneumatophores, litterfall production and six physicochemical parameters of the water were measured. Our results showed that fish assemblages varied significantly between sectors, microhabitats and seasons. Lower sector sites dominated by stilt root microhabitats presented the highest species richness, abundance and biomass of fish, while more than 90% of the juvenile fish in the samples were associated with pneumatophores. We found that the interaction of salinity, depth, distance from the estuary mouth, litter production, and dominance of aerial roots or pneumatophores explained patterns of fish abundance and biomass in mangroves. Our observations coincide with other studies in emphasizing the importance of mangroves as nursery and feeding sites for fish, but whose structure is defined by local variables and factors, which must be taken into account in research and management programs.