bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wells Operations Data Visualization Through GIS Mapping Software
Authors: Aufi Saif Al , Ismail Asif , Mamari Maadh Al , Ruwaishdi Mahra Al , Cruz Rafael , Haddabi Ishaq , Bulushi Khamis Al , Khatri Fahad Al , Manhi Hamed Al , Kalbani Abdallah Al , Yaroubi Saif Al , Hashmi Jawad , Mashrafi Abdullah 
Published: October 2022

Abstract
PDO has grown rapidly over the past few years and is seen as an innovative organisation and a leading company within the Middle East when it comes to applying best practice, adding value to the economical and societal development of the Sultanate of Oman
In the highly volatile oil business market, it is very crucial to having information on fingertip, making informed decisions, visualization of the area where the task is been carried out, to know who owns and operates, liable route network adhering to the HSE policies and safety, availability of assets and resources thus helping the workforce to connect, collaborate and deli ver the business KPIs seamlessly.
Current ways of operating was the field resources have to navigate to different standalone systems, offline data or maps, excels and data sources to sketch out the needed information which was time consuming, indecorous infor mation, non availabilty of SME to validate and authenticate the data, information is especially valuable for PDO business.
As PDO understand the value of data decided to embark the journey through which allows PDO personnel's to connect data of different forms like Products, Assets, Devices, Location, Resources and to use the same in rationalized useful value to reveal the benefit of data value in PDO Business.
Unveiling the Value of Data - An End-to-End Data Analytics System at Scale for Logging Operations
Authors: Torlov Vladislav S , Kanfar Majed F , Saumya Sachit , Gill Oscar 
Published: October 2022

Abstract
This paper presents a summary of a Wireline Logging Operations Analytics System and a patented workflow that has brought a paradigm shift to a logging operations assessment. The aim was to provide a holistic insight into logging operations and enable optimization of time, operational capability, resources, and reduction in carbon footprint. The described digital transformation initiative led to the design and implementation of an end-to-end data analytics system at scale.
The process started in 2020 with the implementation of events tracking software that enabled Logging Engineers to create a comprehensive dataset containing detailed labelled wireline logging activities record with an extensive set of job metadata. The records comprise temporal depth, surface, and downhole tension data, drilling parameters log, detailed job parameters, downhole instrumentation, and time-mapped activities which constitutes a comprehensive hierarchical events tree. The operational events are either tracked during the job or identified based on a stack of raw log signatures and are captured through an interactive graphical process using a dedicated interface.
To leverage the big data, sets of immersive analytics dashboards was designed to address different parties’ inquiries. The system integrates data from multiple sources and includes extensive ETL (extract, transform & load) routines. Multiple queries and further computations were applied to unveil the full value of data within the Well Logging domain including operating efficiency, incidents records, hole conditions tracking, sustainability etc. Domain knowledge paired with statistical and machine learning analyses allowed ranking performance affecting factors and establishing the variable operational performance metrics. Using the established baselines, activities duration is compared to a calculated reference, and is summarized over the attribute of interest, e.g. logging company or a crew, area, rig, conveyance, category or distinct activity, job type, time etc. Periodic summary review allows tracking the performance of Logging company in respect to established metrics by a variety of parameters. Some Logging companies have introduced Engineer's scorecard that provides performance insights and input to a competency assessment. The implemented approach moves away from a rudimentary efficiency assessment (binary productive vs non-productive time). The implemented system is a pioneer in data analytics driven solution at scale for logging operations. According to the Logging companies, it is the first exhaustive recording of logging activities in the world, that can be used to evaluate operational performance, identify, prescribe, and track the improvements.
Computer Vision Based Smart CCTV Solution
Authors: Alam Fahad , Alraeesi Ammar 
Published: October 2022

Abstract
With the assessment of the latest technology safeguarding humanity for their safety and security round the clock is an immense challenge. Deep learning algorithms are being developed to provide greater performance, accurate classification, and the extraction of useful information. Numerous deep learning architecture techniques have been put forth in recent years. Massive security camera deployments have been made, together with additional sensors, to monitor important infrastructure, including Oil & Gas industries, military bases, airports, power plants, banks, etc. As human resources are expensive and have a finite skill set, manual monitoring by human operators is an ineffective solution in modern world. The goal of AI technology used in CCTV system is to automatically monitor infrastructure or the environment with little to no human involvement. These monitoring activities involve automatically locating and tracking objects (such as people or vehicles), followed by additional analysis and action. Techniques for artificial intelligence (machine learning), signal processing, and image processing are key components in the development of such intelligent systems.
The most popular modality (device) for a surveillance system is a visible camera like a CCTV. It has been used for a very long time to keep an eye on people and events. To automatically evaluate data (image or video) from surveillance cameras, extensive research has been done. Numerous specialized review papers on background-foreground segmentation, objects detection and classification, tracking, and behavioral analysis have covered a large portion of these investigations. Other than visible cameras, many sensor modalities have been investigated for surveillance systems, including thermal and infrared cameras, radar, and audio sensor.
This paper will present the case study of a comprehensive overview of computer vision base CCTV surveillance system and to review the current approaches to each of its processing steps.
The potential diagnostic use of clinical characteristics and mitochondrial DNA copy numbers of peripheral blood and ovarian tissue in polycystic ovary syndrome (PCOS) patient
Authors: Song Yi , Deng Yan , Chung Jacqueline , Li Tin Chiu , Wang Chi Chiu , Li Hu , Yang Tao , Sui Yi , Tang Tao 
Published: October 2022

Abstract
Polycystic ovary syndrome (PCOS) is a complex, heterogeneous syndrome of uncertain etiology characterized by hyperandrogenemia, hyperinsulinemia, chronic anovulation, and polycystic ovaries. Recent studies showed that the abnormalities of mitochondrial metabolism are related to PCOS. We hypothesized that mtDNA copy number is an important marker that can reflect mitochondrial function. In this study, 135 PCOS patients and 57 age-matched healthy participants were studied. Mitochondrial DNA copy number in peripheral blood and PCOS ovarian tissues, and some clinical parameters were assessed. From the single factor analysis, we can find some clinical parameters are different between PCOS and healthy women and the mitochondrial DNA copy numbers in peripheral blood in PCOS women were significantly lower than in healthy women. We also found that there was no correlation between mtDNA copy numbers in peripheral blood and in ovarian tissue. After multiple logistic regressions, we identified the occurrence of PCOS was significantly positively correlated with BMI and pulse, and negatively correlated with mitochondrial DNA copy numbers in peripheral blood. We also found the decreased mtDNA copy numbers in PCOS patients are independent of these clinical parameters. We constructed the ROC curve based on these risk factors and found if they have potential to predict the patient’s outcome. In conclusion, the changes in mtDNA copy number and some clinical parameters may provide new ideas for PCOS diagnosis. More studies are necessary for further validation of their use in PCOS diagnosis.
Known risk factors of the developmental dysplasia of the hip predicting more severe clinical presentation and failure of Pavlik harness treatment
Authors: Lankinen Vilma , Bakti Karim , Helminen Mika , Välipakka Jarmo , Laivuori Hannele , Hyvärinen Anna 
Published: October 2022

Abstract
Purpose. Developmental dysplasia of the hip (DDH) varies from mild instability of the hip to subluxation or total dislocation of the joint. Well-known risk factors of DDH include pre-natal breech position, female sex, positive family history, hip side, primiparity and the mode of delivery. Aim of the present study was to further evaluate known risk-factors of DDH, find associations with more severe dysplasia (characterized with Ortolani positivity) and find risk factors of failure of the Pavlik harness treatment.
Material and methods. All children with the diagnosis of DDH treated in Tampere University hospital in the years 1998-2018 were retrospectively identified for the study and the data was collected from the medical records. Total of 948 patients were included.
Results. Breech presentation was strongly associated with Ortolani positivity (p<0.001). Among breech born infants C-section was strongly associated with Ortolani positivity (p<0.001) (OR 1.833, CI95% 1.332-2.524), whereas vaginal delivery was not (p=0.420). Breech presentation was not associated with ending up for spica casting and/or operative treatment (p=0.849) despite the association with Ortolani positivity.
Ortolani positivity (p=0.002), positive family history (p=0.013) and primiparity (p=0.048) were associated with ending up for spica casting and/or operative treatment.
Conclusion. Breech presentation seems to increase the risk of Ortolani positive DDH. However, these infants are likely to recover with initially started Pavlik harness treatment, as it was not associated with elevated risk for undergoing more robust treatments. Positive family history is associated with the most severe cases of developmental dysplasia of the hip, and it may predispose to the failure of the Pavlik harness treatment.
RAFT Polymerization of MMA in the Channels of Different Mesoporous Materials
Authors: Xue Tao , Wei Yan , Yu Caili , Zhou Zhongqun , Zhang Faai 
Published: October 2022

Abstract
Reversible addition fragmentation transfer (RAFT) polymerization is of key significance for its suitability for most monomer and well-studied reaction mechanism. Herein, a serial of mesoporous silica (MS) materials, including rod-liked and spherical SBA-15, spherical MCM-41, and MCM-48, were successfully synthesized and modified by silane coupling agent γ-aminopropyltriethoxysilane (KH550). The modified MS was utilized as a microreactor for reversible addition–fragmentation chain transfer (RAFT) polymerization of methyl methacrylate (MMA) using a xanthate as a chain transfer agent and AIBN as an initiator. Note that modified MS had lower specific surface area and pore volume while maintained the original morphological structure. Owing to the confinement effects, poly(methyl methacrylate) (PMMA) prepared from internal mesoporous channels featured with higher molecule weight and initial thermal decomposition temperature than these from conventional RAFT polymerization. More importantly, the PMMA obtained from the spherical SBA-15 and modified MCM-48 exhibited the highest molecule weight. This work provided a novel approach to design of polymer microstructure for a wider application, such as in drug release.
Effect of transferrin-modified liposomal curcumin on proliferation inhibition of oral squamous cell carcinoma
Authors: Wei Xue-Qin 
Published: October 2022

Abstract
Curcumin can inhibit the proliferation and metastasis of a variety of tumor cells, including oral tumor, but its use is severely limited by its low bioavailability and stability. In this study, transferrin-modified liposomal curcumin was constructed to detect its inhibition on oral squamous cell carcinoma cell line HN4 and compared with liposomal curcumin and curcumin solution (curcumin dissolved in PBS (pH7.4, 0.01Mol/L)). Firstly, curcumin solution (Cur), liposomal curcumin (Cur-Lips) and transferrin-modified liposomal curcumin (Tf-Cur-Lips) were prepared. The regulatory effects of Cur, Cur-Lips and Tf-Cur-Lips on the internal and external disposal of curcumin were investigated by curcumin release in vitro and pharmacokinetics in vivo in rats. Then, HN4 cells were treated with Cur, Cur-Lips and Tf-Cur-Lips at different concentrations, respectively, and cck-8 was used to detect the effect of different experimental groups on HN4 cells proliferation. Finally, to investigate the molecular mechanism of curcumin inhibiting the proliferation and apoptosis of HN4 cells, the expression levels of apoptosis-related genes P53 and Fas was detected and compared by real-time fluorescence quantitative PCR in Cur, Cur-Lips and Tf-Cur-Lips groups. We found that compared with Cur, Cur-Lips metabolic time was significantly prolonged, and transferrin modification could further improve the stability of liposomal curcumin and prolongate liposomal curcumin metabolic time. Compared with Cur and Cur-Lips, Tf-Cur-Lips can significantly enhance the proliferation inhibition of HN4 cells, induce their apoptosis, and up-regulate the expression of apoptosis-related genes P53 and Fas. In conclusion, compared with Cur and Cur-Lips, Tf-Cur-Lips have stronger inhibitory effect on oral squamous cell carcinoma cell line HN4. This study will provide a new option for construction a long-term targeted curcumin delivery system against oral squamous cell carcinoma.
Structural Characterization of Protective Non-Neutralizing Antibodies targeting Crimean-Congo Hemorrhagic Fever Virus
Authors: Durie Ian , Tehrani Zahra , Karaaslan Elif , Sorvillo Teresa , McGuire Jack , Golden Joseph , Welch Stephen , Kainulainen Markus , Harmon Jessica , Mousa Jarrod , Gonzalez David , Enos Suzanne , Koksal Iftihar , Yilmaz Gurdal , Karakoc Hanife , Hamidi Sanaz , Albay Cansu , Spengler Jessica , Spiropoulou Christina , Garrison Aura , Sajadi Mohammad , Bergeron Éric , Pegan Scott 
Published: October 2022

Abstract
Crimean-Congo Hemorrhagic Fever Virus (CCHFV) causes a life-threatening disease with up to a 40% mortality rate. With no approved medical countermeasures, CCHFV is considered a public health priority agent. The non-neutralizing mouse monoclonal antibody (mAb) 13G8 targets CCHFV glycoprotein GP38 and protects mice from lethal CCHFV challenge when administered prophylactically or therapeutically. Here, we reveal the structures of GP38 bound with a human chimeric 13G8 mAb and a newly isolated CC5-17 mAb from a human survivor. These mAbs bind overlapping epitopes with a shifted angle. The broad-spectrum potential of c13G8 and CC5-17 and the practicality of using them against Aigai virus, a closely related nairovirus were examined. Binding studies demonstrate that the presence of non-conserved amino acids in Aigai virus corresponding region prevent CCHFV mAbs from binding Aigai virus GP38. This information, coupled with in vivo efficacy, paves the way for future mAb therapeutics effective against a wide swath of CCHFV strains.
Impact of Attributes of People with Mental Disorders on Barriers to Access to Care: A Web-based Survey
Authors: Tamura Masaki , Oshima Fumiyo , Hongo Minako , Oshita Emiko , Shimizu Eiji 
Published: October 2022

Abstract
Despite the availability of evidence-based treatments and support measures for mental disorders, very few people with mental disorders seek treatment and use mental health services. Studies reveal that barriers to access to care, like treating stigma, practical issues (financial deprivation), and attitude problems toward receiving care, cause delays in using medical services. However, insufficient knowledge exists regarding patient attributes, increasing their likelihood of experiencing substantial barriers to access to care. This study investigated how attributes like gender, age, hospitalisation history for treating mental disorders, and psychiatric diagnosis affect barriers to access to care for people with mental disorders.
We conducted a secondary analysis of a web-based survey by Hongo et al. on standardising the Barriers to Access to Care Evaluation Scale version3-Japanese version (BACEv3-J). Hongo et al. selected 268 adults with mental disorders who had received mental health services within the past 12 months. Participants responded online using the BACEv3-J, which we quantitatively examined for their attributes’ effects on the total and subscale (treatment stigma and non-stigma) scores.
Women experienced more barriers to access to care than men, particularly non-stigma-related barriers. Age and treatment stigma had a significant negative correlation, whereas age and non-stigma-related barriers had no significant correlation. Hospitalisation history for treating mental disorders and the difference in psychiatric diagnosis did not affect barriers to access to care.
This study showed that attributes, like gender and age, affect barriers to access to care. Patient characteristics must be considered during interventions to encourage them to receive care.
Whether the Golgi Protein 73 Could Be A Diagnostic Serological Marker in Hepatocellular Carcinoma: A Meta Analysis
Authors: Zhang Xu , Wu Li-Na , Li Xiao-Qing , Luo Xia , Liu Shui-Wei , Zhang Le , Nawaz Shah , Ma Li-Na , Ding XiangChun 
Published: October 2022

Abstract
Background & Aim: The Value of Golgi protein 73 (GP73) in the diagnosis of Hepatocellular carcinoma (HCC) remains controversial, especially in its differentiation between HCC and cirrhosis. Besides, some papers showed that GP73 levels are correlated with liver fibrosis. This study conducts a meta-analysis to evaluate the Value of GP73 in diagnosing HCC and differential diagnosing HCC from liver cirrhosis.
Methods: 40 studies with a sample size of 8314 cases concerning the accuracy of GP73 in the diagnosis of HCC were selected through a systematic review. Seven of these studies included a total of 438 HCC samples and 426 cirrhosis samples and calculated the sensitivity and specificity of GP73 for differential diagnosing HCC from cirrhosis. QUADAS (quality assessment of diagnostic accuracy studies) was used to evaluate the quality of literature. Statistical Analyses were performed using StataSE16 software.
Results: The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and the area under the curve were 0.79(95%CI 0.74-0.83), 0.85(95%CI 0.80-0.89), 5.4( 95%CI 3.8-7.5), 0.25(95%CI 0.20-0.31), 22(95%CI 13-35), and 0.88 for GP73 diagnosing HCC; 0.74(95%CI 0.64-0.81),0.70(95%CI 0.49-0.85), 2.40(95%CI 1.3-4.7),0.38(95%CI 0.23-0.61), 6(95%CI 2-19), and 0.78 for GP73 differential diagnosing HCC from liver cirrhosis.
Conclusion: The results suggest that GP73 has a high diagnostic value for HCC and a moderate value for differential diagnosis of HCC from liver cirrhosis.
Foliar application of silicon, selenium, and zinc nanoparticles modulate lead and cadmium toxicity in sage (Salvia officinalis L.) plants by optimizing growth and biochemical status and minimizing metal accumulations
Authors: Bakhtiari Mitra , Sadati Fereshteh Raeisi , Sadati Seyede Yalda Raeisi 
Published: October 2022

Abstract
Different techniques have been used to alleviate metal toxicity in medicinal plants, accordingly, nanoparticles (NPs) have a noticeable interest in modulating oxidative stresses. Therefore, this work aimed to compare the impacts of silicon (Si), selenium (Se), and zinc (Zn) NPs on growth, physiological status, and essential oil (EO) of sage (Salvia officinalis L.) treated with foliar application of Si, Se, and Zn NPs upon lead (Pb) and cadmium (Cd) stresses. The results showed that Se, Si, and Zn NPs decreased Pb accumulation by 35, 43, and 40%, and Cd concentration by 29, 39, and 36% in sage leaves. Shoot plant weight showed a noticeable reduction upon Cd (41%) and Pb (35%) stress; however, NPs, particularly Si and Zn improved plant weight under metal toxicity. Metal toxicity diminished relative water content (RWC) and chlorophyll, whereas NPs significantly enhanced these variables. The noticeable raises in malondialdehyde (MDA) and electrolyte leakage (EL) were observed in plants exposed to metal toxicity, however, they were alleviated with foliar application of NPs. The EO content and EO yield of sage plants decreased by the heavy metals but increased by the NPs. Accordingly, Se, Si, and Zn NPS elevated EO yield by 36, 37, and 43%, respectively, compared with non-NPs. The GC/MS analysis showed that the primary EO constituents were 1,8 Cinoele, α-thujone, β-thujone, and camphor with different amounts of heavy metals and NPs. According to principal component analysis (PCA), α-thujone and camphor were justified by F1, while 1,8 cineole and β-thujone were explained by F2. This study showed that NPs especially Si and Zn increased plant growth by modulating Pb and Cd toxicity.
Chemical composition, antioxidant and antibacterial properties of the essential oils extracted from Citrus sinensis peels by hydrodistilation and microwave methods.
Authors: hacib hinda , Lakache Zineb , Aliboudhar Hamza , Laasami Affaf , Tounssi Hassina , Hamil Somia , Kameli Abdelkrim 
Published: October 2022

Abstract

The present study is devoted to evaluate in vitro the Chemical composition, the antioxidant and antibacterial properties of essential oils extracted by hydrodistilation and microwave from the plant peels of Citrus sinensis. The extraction provided yields of 0,26% and 0,02% respectively. The essential oils were analyzed by GC-MS whose major component is limonene has a remarkable percentage (78,192 %) and (58.6%) respectively for the essential oil extracted by HD and MW.The results of the antioxidant potential of essential oils were noticeable in each of essential oils with a noticeable priority to the essential oil extracted by hydrodistilation. The evaluation of the antioxidant power by the free radical scavenging method (dpph) showed that the essential oils studied have good antioxidant activity, especially for the oil extracted by HD having presented an IC50 of (13,07±0,169) mg / ml, while BHT and Ascorbic acid, showed very potent and effective anti-free radical activity with IC50 of the order of (19,54±0,32) μg / ml and (1,17±0,05) μg / ml respectively. According to the β-carotene / linoleic acid test, the oxidation of β-carotene was effectively inhibited by the two essential oils of Citrus sinensis peels with a percentage of inhibition of (56,46±0,76) % and (31,39±1,49) % respectively for HD and MW. Eo extracted by HD is more active than Ascorbic acid (15,43%). In the antibacterial test, the activity was evaluated by the disc-diffusion method, the two types of sweet orange essential oils inhibited the growth of five bacterial strains out of six: The best activity was obtained against E. coli, Listeria monocytogenes and Agrobacterium with a diameter of the zone of inhibition between 70 and 84 mm, with the exception of the strain of Bacillus subtilis, there is no zone of inhibition has been observed.