bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of the Effect of the Use of Flowback Aids in Brines and Fracturing Gel
Authors: Rodrigues Roberta Kamei , Dallaqua Roger Pezzuol , Menezes Polyana Medeiros de , Fornereto Luis Gustavo , Karpenkopf Vanina Lorena , Magdalena Lucia , Ferrari Jean Vicente , Rabelo Rodrigo Balloni 
Published: March 2023

AbstractThe hydraulic fracturing technique is based on pumping a given fluid at a high pressure greater than the rupture pressure of the reservoir rock, which causes the creation of high permeability channels inside the rock. This process also makes the fluid contained in the formation flow preferentially through the newly cracked channels. After stabilizing the pressure inside the rock formation, the fracturing fluid may settle inside the fracture or even infiltrate into the formation. The next step, known as flowback, consists of removing all fracturing fluid so the well can start producing. Under certain conditions, significant amounts of hydrocarbons can remain inaccessible, and problems such as water blockage, fluid trapping, and flowback efficiency reduction can occur, which can cause loss of fluid in the formation and a low production of hydrocarbons. The present work aims to present the effect of flowback aids, composed of combinations of surfactants, in brines and fracturing gels. Flowback aids act mainly on the surface of fracturing fluids and at their interface with the reservoir hydrocarbons. They reduce the deformation resistance of fluid droplets allowing them to cross narrow formation channels. They also reduce the resistance of the fracturing fluid to return to the surface, helping it avoid blocked channels. Consequently, these additives reduce the formation damage and improve the production of reservoir fluids. Experiments were carried out to measure rheology, stability, surface, and interfacial properties, and a physical simulator of flow in porous media was used. The rheology results showed that the flowback aids did not change the consistency of the fracturing gel. The experiments with the physical simulator showed that the presence of the flowback aids made the brines flow through a porous medium faster compared to the brines without the flowback aids. The results of the surface and interfacial properties measurements showed that a small amount of flowback aids can efficiently change the surface properties of brines and their interfacial properties with the crude oil. These changes improve the malleability of the injected fracturing fluid and reduce the crude oil's resistance to push the fluid back to the surface, allowing a more efficient production of hydrocarbons.
Adapting Digital Environment to Sustain Operations Remotely
Authors: Abbasgholipour Ali , Panwar Nitin , Yosakrai Chulakorn , Wibowo Vera Krissetiawati , Hieu Pham Nam , Amranand Sorawit 
Published: March 2023

Abstract
Oil and gas remote operations (RO) enabled by automation and digital solutions are reducing the number of people required to work in the wellsite; many subject matter experts can now complete their daily tasks from the safety of the office in town. We have been transitioning to these new ways of working for some time, and the progress has been greatly accelerated to help ensure business continuity for customers during COVID-19 restrictions, allowing high numbers of wellsite operatives the freedom to work from home.
For the Oil & Gas companies that have experimented with more technology, the results have been incredible. Digital transformation has finally hit the industry and it’s taking off to meet sustainable goal of upstream companies, this transformation is one such measure by which these goals can be approached. Despite the global availability of technology to handle analytical task from a safe distance, substantial drilling activities have been carried out traditionally across globe.
Such traditional drilling operations were carried out in Thailand where client and SLB work together in fast paced factory drilling environment where an oil well can drill and complete within 7 days for 2 strings (2-sections only) 2400-2600 m in onshore operation which requires experienced people to monitor and execute tasks.
To support such operation from town i.e., remotely with systematic monitoring by skilled people, one requires to adapt digitization. This paper demonstrates the ability of SLB to adapt the digital environment by introducing "Remote Operation Center" setup enabling to help client achieve their sustainable goals within budget and provided an alternate solution to sustain operations in COVID-19 pandemic.
Remote Operations is the ability to operate a system or a machine at a distance; one can handle multiple operations from a safe environment of office in town using technology. It unfolds analytical task & physical task; the former is handed over to Remote Operation Center and physical task is left at rig crew. The Remote Operation Center execute both Directional Drilling (DD) and Measurement & Logging While Drilling (MLWD) services at the well site, from town. Executing Directional Drilling Remote Operation was more challenging.
RO moves industry towards future and pushes all other traditional players to work on sustainable goals while adapting to digital environment. On site presence of crew was reduced by 50% while maintaining same pace of operations with better data analysis.
A BCI System for Physically Challenged Based on Alpha Dynamics of EEG Signals
Authors: khare vijay 
Published: March 2023

Abstract
Millions of people around the world suffer from paralysis. People having paralysis need new devices with sophisticated technologies to help them for comfortable live. Most existing brain computer interfaces (BCIs) are designed to control a wheelchair using eye movement, joy stick and chin movement have a many limitation and inconvenient to use. In this study, a brain computer interface based on alpha dynamics of EEG has been attempted to provide an alternative channel for severely disabled for communicating with the external world. In the present study, people who are not able to move their body part can also control the wheelchair just by thought process Wheelchair EEG data was mapped in alpha frequency band. Wavelet packet transform was used for feature extraction. Performance of three classifiers was compared for classification of five imagery tasks. Radial basis neural network was observed most suitable for classification EEG signal. EEG based offline system for wheelchair control has been designed and implemented on laboratory developed prototype.
Climate Change Beliefs and their Correlates in Latin America
Authors: Spektor Matias , Fasolin Guilherme , Camargo Juliana 
Published: March 2023

Abstract
The ability of climate skeptics to block climate action depends on the set of beliefs about climate change prevailing among the general public. In the Global North, research has shown that people’s beliefs about the existence, the causes, and the consequences of climate change are primarily associated with political orientation and ideology. However, little is known about climate change beliefs in the wider world and its associated factors. To address this gap, we provide a large-scale, systematic overview of climate change beliefs in Latin America and its correlates. Our study finds no skepticism over the existence of climate change and its anthropogenic origins, but identifies a high minority of skeptics around the severity of its consequences. Furthermore, it also finds that skepticism in this region is correlated with psychological rather than political factors. Specifically, the study reveals that individualistic worldviews are powerfully associated with disbelief in the severe consequences of climate change, a worrying finding in a region featuring relatively low levels of social trust. By contributing to a better understanding of climate change beliefs in Latin America, these findings offer a starting point for a more sophisticated debate on how to tackle the constraining effects of climate skepticism in the Global South.
LCAM: Lightweight Certificate Authority for MANET and Securing DSR Routing Protocol
Authors: Biswas Anindya Kumar , Dasgupta Mou , Ray Sangram , Sadhukhan Dipanwita , Das Ashok Kumar , Park Youngho 
Published: March 2023

Abstract
A Mobile Ad-Hoc Network (MANET), which is useful for infrastructure less quick wireless communication, will play a vital role in future network deployments. Due to ad-hoc and wireless characteristics, MANETs are highly vulnerable and they would not be viable without effective security protection. This paper designs a lightweight certificate authority (LCA) as a common security framework for MANETs and develops safeguard for a well-known reactive routing protocol called DSR (Dynamic Source Routing). Additionally, we propose a minor modification of DSR called modified DSR (mDSR), where a hop-count parameter as used in AODV (Ad hoc On-demand Distance Vector) routing protocol is included. It is incorporated in RREQ/RRER messages of DSR for counting the number of hops in a route, and the same is used in efficient routing and enhanced security protection of MANETs. The security and performance analysis of the proposed methods are provided and compared with other techniques.
An Exploration of Ventricle Regions Segmentation and Multiclass Disease Detection Using Cardiac MRI
Authors: V Subha , G GOMATHI 
Published: March 2023

Abstract
In this modern era, various cardiac diseases are very crucial as they cause a high mortality rate. Early detection of Cardio Vascular Disease (CVD) is essential to prevent and control it. Diagnosis of cardiac disease is the process of analyzing the Left and Right ventricle cavities (LV, RV) and Myocardium (MYO) from Cardiac Magnetic Resonance (CMR) images. As the deep learning architectures are becoming more mature, segmenting and classifying cardiac MRI images using deep learning is gaining more attention. This work is aimed to identify five different cardiac disease subgroups namely NOR, MINF, DCM, HCM and ARC by employing a new Deep Join Attention Model (DJAM) technique for segmenting LV, MYO, and RV regions separately.This method provides advancement as the joined attention model was combined with the pooling layers and the resultant is added to the convolution layers. The proposed Region Integrated Deep Residual Network (RIDRN) is used to extract the features from the segmented images for classification. In this process, the features of LV, RV and MYO are combined with a different combination. The advantage of doing this process is to get the overall features without leaving any single strip of features from the three regions. Hence it shows a rise in the performance accuracy. The Random Forest classification method is used to classify the underlying features for cardiac disease diagnosis.This proposed work is tested in the Automated Cardiac Diagnosis Challenge (ACDC) dataset and it perfects the state-of-art techniques.
Application of a multivariate water quality index to evaluate the groundwater geochemistry of Jajpur district, Odisha, India and assessment of potential health risks
Authors: Sabinaya Sushree , Mahanty Biswanath , Lhamo Pema , Sahoo Sunil Kumar , Jha Viveka Nand , Sahoo Naresh Kumar 
Published: March 2023

Abstract
There are several water quality issues with groundwater in India, including fluoride and nitrate, which are all harmful to human health. In the current study, 14 distinct hydrochemical parameters were examined in a total of 76 groundwater samples collected from the Jajpur district of Odisha India. Nearly 36.8% and 11.84% of the samples had F- and NO3- values over the WHO permissible limit. The entropy-weighted water quality index (EWQI), the fixed-weight groundwater quality index (GWQI), principal component analysis (PCA) factor (or rotational factor) loading based water quality index (PCWQI) were employed. The four different water quality indices rated about 65.79± 4.68%, 33.55± 3.95%, and 0.66 ±0.76% of the samples as "Excellent," "Good," or "Medium" quality, with a nominal rating discrepancy of 13.15%. Across the WQI ranking, more than 86% of samples were consistently rated as excellent or good. About 38.15% samples surpassed the allowed limit for F- (hazard quotient HQ>1), posing non-carcinogenic health risks for children. Contrarily, 55.26% and 11.84% of NO3-samples, exceeding the permissible limit, and showed non-carcinogenic health risks for both children and adults. Groundwater pollution may increase as a result of some samples having substantial concentrations of NO3- and notably HCO3- ions as well as their positive interdependence. The moderate correlation between Ca2+ and HCO3- (r = 0.410) and the insignificance correlation between Mg2+ and HCO3- (r = 0.234) show that calcite dissolution is far more common than dolomite.
Biomarker analysis of VT1021, a first-in-class therapeutic agent that stimulates Thrombospondin-1 and reprograms the tumor microenvironment
Authors: Chen Jian , Vincent Melanie , Li Wendy , Fyfe Susanne , Wang Suming , Zota Victor , Mahoney James , Watnick Randolph , Cieslewicz Michael , Watnick Jing 
Published: March 2023

Abstract

VT1021 is a first-in-class therapeutic agent which has been tested in a phase I/II clinical study in solid tumors (NCT03364400) and has advanced to a phase II/III clinical study in glioblastoma (NCT03970447). Preclinical studies demonstrated that VT1021 inhibited tumor growth via stimulation of thrombospondin-1 (TSP-1) and reprogramming the tumor microenvironment. We sought to confirm the mechanism of action (MOA) of VT1021 in a clinical setting and identify biomarkers for VT1021 in future clinical studies. Accordingly, we evaluated potential biomarkers from peripheral blood samples and available paired biopsy samples from evaluable subjects enrolled in the phase I/II expansion study. Here, we report the clinical confirmation of TSP-1 induction by VT1021 in peripheral blood and tumor biopsy samples. Moreover, we observed that treatment with VT1021 resulted in the remodeling of the TME from one that was immunosuppressive and tumor-promoting to one that is immune active and tumor-inhibiting. The modifications were characterized by an increased ratio of CD8+ T cells (cytotoxic T lymphocytes, or CTLs) to T Regulatory (Treg) cells, increased Tumor-infiltrating lymphocytes (TIL), decreased T cell exhaustion, increased M1:M2 macrophage ratio and decreased microvascular density. To identify non-invasive biomarkers for VT1021, we analyzed plasmatic cytokines and identified four cytokines as potential predictive biomarkers for VT1021 activity, including matrix metallopeptidase 9 (MMP9), plasminogen activator inhibitor-1 (PAI-1), chitinase 3 like protein 1 (CHI3L1), and C-C Motif Chemokine Ligand 5 (CCL5). In addition, we found that macrophage migration inhibitory factor (MIF), Interleukin-18 binding protein alpha (IL-18 Bpa), CHI3L and CCL5 could be potential pharmacodynamic biomarkers for VT1021.
How Patients with Type 2 Diabetes Experience Acceptance-Based Emotion Regulation Group Therapy: A Qualitative Research
Authors: Hajati Elnaz , Gharraee Banafsheh , Sabbar Shaho , Lavasani Fahimeh Fathali , Farahani Hojjatollah 
Published: March 2023

Abstract
Background
Type 2 diabetes is a severe, chronic illness that necessitates lifelong care. Research suggests that individuals with enhanced emotional and psychological skills, typically experience greater success in managing and mitigating the adverse physical and psychological ramifications of the condition. Among the psychological approaches that have demonstrated efficacy in assisting diabetic patients is acceptance-based emotion regulation. The present study aims to enhance our understanding of the ways in which acceptance-based emotion regulation therapy can benefit individuals with diabetes. The study builds on Gratz and Gunderson's emotion regulation model, expanding upon its concepts and application to the diabetic population.
Method
A series of in-depth interviews were conducted with patients diagnosed with type 2 diabetes who had undergone acceptance-based emotion regulation therapy. The treatment program encompassed 14 two-hour therapy sessions.
Results
The findings of this study provide a comprehensive account of the strategies employed by informed patients to regulate their emotions effectively.
Conclusion
Qualitative research examining the subjective experiences of patients undergoing therapy can equip therapists with valuable insights to enhance the quality of care provided.
Assessing the Occupational and Environmental Health Hazards among Rag-Pickers: A Systematic Review
Authors: Rani Usha , Pandey Bindhy Wasini , Saluja Daman , Anand Subhash , Kumar Harish 
Published: March 2023

Abstract
The vulnerability occupational health hazard of ragpickers has emerged as a serious public health threat and has had a tremendous impact on all spheres of the environment nearby landfill and other side of solid waste locations. Since 1970, large numbers of studies have been carried out on the impact of health conditions on ragpickers around the world, but no studies have been carried out on the scientific/systematic review on the impact of health due to their occupational impact at global level. This study aims to systematically assess the scientific review on the impact of occupation on ragpickers and their environmental conditions. For this study, total 339 studies were identified after rigorous review, and 134 studies met the criteria for the review. The literature was surveyed from Scopus, Google Scholar, Research gate, Web of Science, semantic scholar and the Google search engine. The results reveal that (i) most of the studies were carried out continent wise on: Asia, followed by Europe, Africa, and South America. About 69 (51.5%) of the total studies were surveyed from Asia, followed by Africa 32 (23.88%), South America 30 (22.39%), and Europe is only 3 (2.23%) has found in the open database on related to the topic. (ii) in the case of countries, the highest number of studies was performed on India (30.60%), followed by Brazil (19.40), South Africa (14%), Bangladesh (8%), Ghana (6%), Study results out that chemical, biological work place hazard are more risky environmental hazard in their occupations.
Top Caregiver Concerns in Rett syndrome and related disorders: data from the US Natural History Study
Authors: Neul Jeffrey Lorenz , Benke Timothy A. , Marsh Eric D. , Suter Bernhard , Silveira Lori , Fu Cary , Peters Sarika U. , Percy Alan K. , Group Rett syndrome Natural History Study 
Published: March 2023

Abstract
Objective: Recent advances in the understanding of neurodevelopmental disorders such as Rett syndrome (RTT) has enabled development of novel therapeutic approaches that are currently undergoing clinical evaluation or are proposed to move into clinical development. Clinical trial success depends on outcome measures that assess clinical features that are most impactful for affected individuals. To determine the top concerns in RTT and RTT-related disorders we asked caregivers to list the top clinical concerns in order to gain information to guide the development and selection of outcome measures for future clinical trials.
Methods: Caregivers of participants enrolled in the US Natural History Study of RTT and related disorders were asked to identify the top 3 concerning problems impacting the affected participant. We generated a weighted list of top caregiver concerns for each of the diagnostic categories and compared results between the disorders. Further, for Classic RTT, caregiver concerns were analyzed by age, clinical severity, and common RTT-causing mutations in MECP2.
Results: The top caregiver concerns for Classic RTT were effective communication, seizures, walking/balance issues, lack of hand use, and constipation. The rank order of the frequency of the top caregiver concerns for Classic RTT varied by age, clinical severity, and specific mutations, consistent with known variation in the frequency of clinical features across these domains. The frequency of caregiver concern for seizures, hand use, and spoken language increased in relation to clinician assessed severity in these clinical domains, showing consistency between clinician assessments and caregiver concerns. Comparison across disorders found commonalities in the top caregiver concerns between Classic RTT, Atypical RTT, MECP2 Duplication Syndrome, CDKL5 Deficiency Disorder, and FOXG1 Syndrome; however, distinct differences in caregiver concerns between these disorders are consistent with the relative prevalence and impact of specific clinical features.
Conclusion: The top caregiver concerns for individuals with RTT and the RTT-related disorders reflect the impact of the primary clinical symptoms of these disorders. This work is critical in the development of meaningful therapies, as optimal therapy should address these concerns. Further, outcome measures to be utilized in clinical trials should assess these clinical issues identified as most concerning by caregivers.
No fitness cost in Brassica rapa (wild turnip) populations associated with transgenic glyphosate and non-transgenic AHAS-inhibiting herbicides resistance
Authors: Tillería Sofía G. , Pandolfo Claudio , Presotto Alejandro , Ureta Soledad 
Published: March 2023

Abstract
Brassica rapa is an annual species cultivated for centuries for food consumption and oil. Its wild form is a common weed in temperate climates around the world, including Argentina, interfering in more than 20 crops. The adoption of genetically modified (GM) and non-GM Brassica napus herbicide-resistant cultivars and the possibility of introgression with B. rapa gave rise to new weedy biotypes. In Argentina, in 2012, natural populations of transgenic (GM) glyphosate-resistant B. rapa were found and one of these populations also showed (non-GM) AHAS-inhibiting resistance. The study of the pleiotropic effects on fitness cost in this species could determine whether these resistances could persist in agricultural fields. The aim of the present study was to assess the effect of the glyphosate transgene (GT73) and AHAS Trp574Leu mutation on B. rapa vegetative and reproductive traits. Two trials were carried out, one with a homogenous genetic background and another with a different genetic background, both in two growing seasons. We found no differences in either trial between the resistant and susceptible biotypes in any of the fitness traits evaluated. It was also noted that in winter, the biotypes showed a better performance than plants growing in spring. Based on these results, glyphosate resistance and AHAS-inhibiting resistance are likely to persist in Brassica rapa populations even without the herbicide selection. This is in agreement with the area invaded by this weed in Argentina over the last ten years.