bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization in Field Service Operations: Cost and Reprocesses Reduction Through Lean Six Sigma Implementation
Authors: Camelo S. , Jimenez M. , Pinilla J. , Gonzalez C. A. 
Published: June 2023

Abstract
Through the petroleum industry history, it is known that different techniques have been implemented to optimize process which means reduction of operation non-productive time and costs. As an important stage of the continuous improvement and incident management, root cause analysis takes importance and aims to eliminate those causes which significantly impact the efficiency of the operations. Historically, different cause analysis has shown that 30% of the Artificial Lift Field Operations in Colombia involve reprocesses, low standardization, deficient conclusions in incident analysis, improper tooling preparation prior to the service and low tooling availability in terms of reference-functionality, ergonomics, or quality.
A challenging strategy and methods have been designed to solve the problems and reduce reprocesses in operational activities. The strategy implemented was performed based on Lean Six Sigma which aims to reduce the time defect and variability to identify what makes a process slow and how delays could be eliminated and fix further issues along the way. The challenge starts implementing Lean methodology that aims to remove any part of the process and doing more with less while doing better. In order to accomplished, particular strategies such as 6s methodology for process improvement: Safety, Sort, Set in order, Shine, Standardize, and sustain; and DMAIC methodology for incident management: Define-Measure-Analyze-Improve-Control implemented for Well Field Services takes importance and are the column of the strategy, focuses on cultural mind change over people who perform the activities in the field.
This paper will discuss the different stages of the case history strategy which involves, standardization to reduce reprocesses, execution of DMAIC methodology where incidents occur, increase customer perception and expectations due to the audits results improving scores in 15%, tooling preparation in Field Services from 3 hours to 30 mins and also reduction in the number of hand tools in 10%. As consequence, the weight to move them to the field was reduced as an ergonomic improvement. Also, higher order and cleanliness that extends lifespan of tools and toolboxes was obtain reducing additional purchase costs. On the other hand, a cultural changing in field personnel was performed to raise the level of participation and involvement in selected activities for the strategies and exceed the customer expectations.
Adapting strategies that have been widely documented as a case of success in Manufacturing industries and implementing them to Artificial Lift Field Service operations is clearly possible bringing visible improvements and significantly increase efficiencies.
A Study Protocol to Increase Engagement in Evidence Based Hospital and Community Based Care Using a Serious Injection Related Infections (SIRI) Checklist and Enhanced Peer for Hospitalized PWID (ShaPe)
Authors: Baldwin Margaret , Jeziorski Madison , Parman Mariel , Gagnon Kelly , Nichols M Alana , Bradford Davis , Crockett Kaylee , Eaton Ellen 
Published: June 2023

Abstract
Background
With the opioid crisis, surging methamphetamine use, and healthcare disruptions due to SARS-CoV-2, serious injection related infections (SIRIs), like endocarditis, have increased significantly. Hospitalizations for SIRI provide a unique opportunity for persons who inject drugs (PWID) to engage in addiction treatment and infection prevention, yet many providers miss opportunities for evidence-based care due to busy inpatient services and lack of awareness. To improve hospital care, we developed a 5-item SIRI Checklist for providers as a standardized reminder to offer medication for opioid use disorder (MOUD), HIV and HCV screening, harm reduction counseling, and referral to community-based care. We also formalized an Intensive Peer Recovery Coach protocol to support PWID on discharge. We hypothesized that the SIRI Checklist and Intensive Peer Intervention would increase use of hospital-based services (HIV, HCV screening, MOUD) and linkage to community-based care: PrEP prescription, MOUD prescription, and related outpatient visit(s).
Methods
This is a feasibility study and randomized control trial of a checklist and intensive peer intervention for hospitalized PWID with SIRI admitted to UAB Hospital. We will recruit 60 PWID who will be randomized to one of 4 groups (SIRI Checklist, SIRI Checklist + Enhanced Peer, Enhanced Peer, and Standard of Care). Results will be analyzed using a 2x2 factorial design. We will use surveys to collect data on drug use behaviors, stigma, HIV risk, and PrEP interest and awareness. Our primary outcome of feasibility will include the ability to recruit hospitalized PWID and retain them in the study to determine post-discharge clinical outcomes. Additionally, we will explore clinical outcomes using a combination of patient surveys and electronic medical record data (HIV, HCV testing, MOUD and PrEP prescriptions).
This study is approved by UAB IRB #300009134.
Discussion
This feasibility study is a necessary step in designing and testing patient-centered interventions to improve public health for rural and Southern PWID. By testing low barrier interventions that are accessible and reproducible in states without access to Medicaid expansion and robust public health infrastructure, we aim to identify models of care that promote linkage and engagement in community care.
Trial Registration: NCT05480956
Increased nationwide use of green spaces in Norway during the COVID-19 pandemic
Authors: Ulset Vidar , Venter Zander , Kozák Michal , Nordbø Emma Charlott Andersson , von Soest Tilmann 
Published: June 2023

Abstract

In recent years, there has been growing concern about the decline in human green space use and nature-based recreation in Western countries. While some evidence suggests that the COVID-19 pandemic led to increased recreational mobility in urban green spaces, it is unclear whether the pandemic led to nationwide changes in green space use in both densely and less densely populated neighborhoods, as well as whether social inequalities in green space use were reinforced or attenuated by the pandemic. To address these questions, we used daily nationwide aggregated mobility data from more than 2 million cell phone subscribers in 14,331 geographical grids across Norway to examine potential changes in mobility in green spaces as measured by the normalized difference vegetation index (NDVI) during the pandemic. Additionally, we controlled for weather conditions, holiday periods, and neighborhood sociodemographic characteristics. The results from linear mixed model analyses showed a 9.4% increase in recreational visits in the greenest spaces during the pandemic. Notably, this increase was most prominent in neighborhoods of low socioeconomic status (SES) and was observed in both high- and low-population density neighborhoods, although the increase was somewhat stronger in neighborhoods with low population density. Our study findings suggest that the COVID-19 pandemic has played a role in increasing nationwide green space use in Norway and potentially narrowing the gap of green inequalities, thus highlighting the importance of preserving and promoting green spaces as a public health resource, particularly in disadvantaged neighborhoods.
Natural Air Filtration: Potted Plants for Management of Sick Building Syndrome
Authors: Marak Cherike K , Das Pori , KALITA GITARTHA 
Published: June 2023

Abstract
Air pollution is a pressing issue that warrants attention. It is crucial to comprehend the impact of air pollution on human health. With the rapid growth of industry and urbanization, the air we breathe has become hazardous to our well-being. Moreover, because people spend most of their time indoors, the risk of exposure to toxic pollutants indoors is higher. Inorganic gases and biological factors also contribute to indoor pollution, and these contaminants can cause Sick Building Syndrome, which can result in symptoms that vanish once individuals leave the building. Sick Building Syndrome has a significant impact on the health and productivity of occupants. In this study, NASA-proven natural air-purifying plant species, such as Sansevieria Laurentii, were used to combat Sick Building Syndrome. The pollutants used for the study were Adhesive, Paint, Kerosene, Egg crate, Ciggarete, Varnish, Wood Shaving and Coconut Husk. It is best to use locally available plants that have a high potential for air purification. The study aimed to determine the most effective phytoremediation methods using Sansevieria Laurentii to purify indoor pollutants, and the results demonstrated a substantial reduction in indoor air pollution on increasing the number of potted plants.
Practical methods for incorporating summary time-to-event data into meta-analysis: updated guidance
Authors: Tierney Jayne F , Burdett Sarah , Fisher David 
Published: June 2023

Abstract
Background Our prior guide to estimating hazard ratios (HRs) and related statistics from published summary (aggregate) data (ref) has been cited widely and utilised extensively by systematic reviewers and meta-analysts worldwide, but some still have difficulties applying the methods and/or utilising the accompanying spreadsheet. Therefore, we provide additional guidance and an updated calculations spreadsheet.Methods This update is driven by queries we have received, responses to a survey of Cochrane editors and the emergence of alternative methodologies. It also and benefits from our considerably increased experience in applying these methods across a range of scenarios.Results We provide clarifications of ambiguities, additional scenarios that researchers might face and further advice on data extraction to facilitate estimating HRs and related statistics from published time-to-event data. Also, we compare these methods with proposed alternatives. This is accompanied up by an updated and enhanced calculations spreadsheet that produces all the summary statistics required for pooling HRs in meta-analysis.Conclusions This updated guidance and spreadsheet will provide valuable additional tools for those producing meta-analyses based on published, summary, time-to-event data.
Nexuses between Carbon Emissions, Trade Openness, Transport Services, Globalization Index and Growth in China: Targeting the Sustainable Development Goals
Authors: Huang Li , Quddoos Muhammad Umer , Akhtar Muhammad Hanif , Haseeb Abdul , Khan Muhammad Bashir , Rafique Amir 
Published: June 2023

Abstract

Since the end of the 20th century, the world has observed a considerable upsurge in carbon emissions as several countries have surfaced as industrial centers and production monsters worldwide. The present study contributes to the existing literature, which examines the effects of carbon-based emissions, industrial value-added, trade openness, transport services, railway lines, and globalization index on per capita GDP growth in China. The study covers a period of 38 years, from 1982 to 2020. A Vector error correction model (VECM) was applied to achieve the study's envisaged objectives. The findings of this study reveal that carbon emissions are responsible for the reduction of per capita GDP growth in China. On the contrary, industrial value-added, transport services, railway lines, and globalization index positively support the per capita GDP growth dependent variable. The study proposes that pragmatic policies are needed to control pollution resulting from carbon emissions. The eventual effect of maintaining greenhouse gases is expected to assist in achieving sustainable growth of per capita GDP leading to the accomplishment of sustainable development goals in the economy.
Preliminary study on the impact of severe heat waves on dolostone weathering: Implications for deterioration of carbonate rock-hewn heritage
Authors: WANG Yinghong , ZHANG Hui 
Published: June 2023

Abstract
Climate change has led to many catastrophic events. In summer 2022, southern China witnessed a record-breaking heat wave. For example, Hangzhou, the capital city of Zhejiang Province (China), experienced a 2-month period of extreme hot weather. Rock outcrops exposed to strong solar radiation and high temperatures can experience rapid increase in temperature and repeated thermal cycles, which can affect the fabric and physical/mechanical properties of the rock and threaten the preservation of rock-hewn heritage. China has many examples of carbonate rock-hewn heritage with high historical and artistic value. Most are found in subtropical coastal areas with high heat and humidity, and where they might experience extreme high-intensity heat events in the future. Therefore, to study the impact of heat wave events on such examples of cultural heritage, a realistic heat wave aging test was performed in this study using samples of dolostone freshly quarried from near the West Lake Cultural Landscape of Hangzhou world heritage site. The nature of deterioration of the dolostone was evaluated using the capillary water absorption coefficient, surface hardness, and splitting tensile strength. The pore system of the dolostone samples was determined using the nitrogen adsorption method. Experimental results showed that the mechanical properties of the dolostone decreased moderately, while the water absorption capacity and porosity (micropores–mesopores) increased, indicating that high-temperature heating affects the physical and mechanical properties of dolostone to a certain extent. On the basis of the rapid rate of global warming and the increasingly frequent occurrence of extreme high-temperature events in China, the influence of thermal cycling on rock-hewn heritage deserves further attention.
Water Contaminants Monitoring and Prediction using Support Vector Machine and Artificial Neural Network
Authors: Pujar Prasad M , Kenchannavar Harish H , Kulkarni Raviraj M 
Published: June 2023

Abstract
Water is one of the most basic resources for human well-being. The need and availability of clean drinking water is a primary concern throughout the world. The risk to human well-being can arise from the use of water contaminated with various toxic wastes, such as industrial, agricultural, and urban wastes. Therefore, it imposes the need for a real-time forecast of water quality and can be achieved using the machine learning concepts of support vector machine (SVM), and artificial neural network (ANN). The SVM is used to classify water samples as normal or contaminated samples based on the root mean square error (RMSE), that is, the amount of deviation between the predicted value and the estimated true value. To reduce the RMSE found by SVM and to further increase the efficiency ANN was utilized. In this paper, the experimental analysis was carried out to improve the efficiency of the prediction model by first finding the correct kernel function amongst linear, polynomial, sigmoid, and radial basis function (RBF) that applies to the prediction of water quality based on the least RMSE value for SVM Technic. The ANN is then used to improve the efficiency of the prediction by estimating which activation function the sigmoid or the tan-hyperbolic best fits the prediction of water quality. It was found that the RBF / polynomial function for SVM with an efficiency of 97.14% was the most suitable and for ANN, either of the activation functions of both can be used to predict water quality with the prediction of 98.9%.
Muscularis macrophages controlled by NLRP3 maintain the homeostasis of excitatory neurons
Authors: Gao Yunhuan , Shi Yi , Wei Ming , Yang Xiaorong , Hao Yang , Liu Haifeng , Zhang Yuan , Zhou Lu , Hu Gang , Yang Rongcun 
Published: June 2023

Abstract

Peristaltic movements in gut are essential to propel ingested materials through the gastrointestinal tract. Intestinal resident macrophages play an important role in this physiological function through protecting enteric neurons. However, it is incompletely clear how individuals maintain the homeostasis of gut motility. Here we found that NLRP3 is a critical factor in controlling loss of muscularis macrophages (MMs), and demonstrate that MMs are involved in the homeostasis of excitatory neurons such as choline acetyltransferase (ChAT)+ and vesicular glutamate transporter 2 (VGLUT2)+ but not inhibitory neuronal nitric oxide synthase (nNOS)+ neurons. NLRP3 knockout (KO) mice had enhanced gut motility and increased neurons, especially excitatory ChAT+ and VGLUT2+ neurons. Single cell analyses showed that there had increased resident macrophages, especially MMs in NLRP3 KO mice. The MM proportion in the resident macrophages was markedly higher than those in wild-type (WT) or caspase 1/11 KO mice. Deletion of the MMs and transplantation of the NLRP3 KO bone marrow cells showed that survival of the gut excitatory ChAT+ and VGLUT2+ neurons was dependent on the MMs. Gut microbiota metabolites β-hydroxybutyrate (BHB) could promote gut motility through protecting MMs from pyroptosis. Thus, our data suggest that MMs controlled by NLRP3 maintain the homeostasis of excitatory neurons.
Evaluation of water use equity in river basin based on multi-industry Gini coefficient
Authors: Wang Yu , Wu Jian , Ming Guanghui , Wan Fang , Zheng Xiaokang , Zhou Xiangnan , Wang Weihao , Xiao Lingfeng 
Published: June 2023

Abstract
The fairness of water use is one of the key factors to be considered in the balanced allocation of water resources. Aiming at the problem that the fairness of water use in the basin is not considered enough in the different industries, an evaluation method based on multi-factor Gini coefficient in different industries is proposed. Taking the H Basin as an example, this paper calculates the Gini coefficient and analyzes the variation of the fairness of water use of different industries in nine provinces of the H Basin from 1980 to 2020. The results show that the comprehensive Gini coefficient of economic and social water use in the basin is 0.16–0.25 from 1980 to 2020, which is in a downward trend, indicating that the fairness of economic and social water use in the basin has gradually improved, changing from "relatively fairness" to "highly fairness". In terms of the fairness of water use in different industries, the fairness of public water use in industry and cities decreases, especially in cities.
Mechanically robust room-temperature self-healing waterborne polyurethane with antimicrobial properties constructed through multiple dynamic bonds
Authors: Wang Yuan , Chen Liang , Jiang Pingping , Zhang Pingbo , Bao Yanmin , Gao Xuewen , Xia Jialiang 
Published: June 2023

Abstract
In this study, 2,6-diacetylpyridine dioxime was synthesized from 2,6-diacetylpyridine and hydroxylamine hydrochloride as raw materials and bonded into the molecular chain of waterborne polyurethane as an alcohol chain extender, Subsequent addition of Cu2+ interacted with the Schiff base structure in the WPU molecular chain to generate room-temperature self-healing polymeric materials with multiple dynamic bonds based on ligand bonds, oxime carbamates, and hydrogen bonds. Due to the synergistic effect of multiple dynamic bonds, DWPU-Cu0.25 exhibited excellent mechanical properties (tensile strength of 11.9 MPa and elongation at break of 1620%) and excellent room temperature self-healing ability (healing efficiencies of 89.1% and 95.8% for elongation at break and tensile strength, after 72 h of room temperature healing). Additionally, antibacterial experiments showed that DWPU-Cu films can release copper ions and create antibacterial zones around polyurethane films, demonstrating their use in the field of antibacterial coatings. This work also opened up new possibilities for the synthesis of room-temperature self-healing multifunctional waterborne polyurethanes.
Best proximity point for different types ofnon-self proximal contractions
Authors: Alam Khairul Habib , Rohen Yumnam 
Published: June 2023

Abstract
A new variety of non-self generalised poximal contraction,called Hardy-Rogers α+F-proximal contraction, is shown in this work.Also we have proved that such contractions satisfying some conditionsmust have unique best proximity point. For some particular values of theconstants, that we have used to generalize the proximal contraction, weconclude different α+F-proximal contraction results of the types ´Ciri´c,Chatterjea, Reich, Kannan and Banach with proof, that all such typeof contractions must have unique best proximity point.
Caring for the elderly based on an Integrated Community Care approach: the experience of the Canton of Ticino
Authors: Roncelli Evaristo 
Published: June 2023

Abstract

Background The increase in demand for long-term care is associated with the need for cost containment. A transition towards the Integrated Community Care (ICC) approach should lead to cost containment and greater user satisfaction. The Swiss government has repeatedly raised the issue of the integration of care, but Switzerland seems to lag behind in the implementation of this care models. Methods We conducted a series of case studies on the Italian-speaking area of Switzerland with the aim of exploring the reason of network formation. Data was collected using semi-structured interviews. The case studies include six public home care services and twenty nursing homes. The collected data was analysed using ATLAS.ti through content analysis carried out using the Preparation-Exploration-Specification-Interpretation approach. Results The reasons why ICC models are struggling to develop in Switzerland are: i) the caring system is anchored to a broader municipality-based proximity system; ii) the system is historically based on subsidiarity and public-private co-existence; iii) the system is a resource-intensive that is late in perceiving the need to optimise resources; iv) the system based is on a high reliance on formal services; v) the system based on consensus and stability that struggles with the need for rapid intervention. Conclusions The implementation of innovative models of taking care of the elderly is strongly influenced by the institutional context. Policymakers to increase the effectiveness of their interventions are called to eliminate possible institutional barriers.