bluuebunny/crossref_metadata_2025_split huggingface dataset:
Active Control and Measurement of Oil Vapor Pressure to Reduce Emissions and Increase Oil Volumes
Authors: Malone Ryan , Sarcletti Anthony , Baaren Sander 
Published: September 2022

Abstract
Facility optimization and control using continuous measurement of oil vapor pressure allows the oil and gas producer to reduce facility flaring and emissions while increasing oil production. By preventing over processing of oil, through vapor pressure process control of the facilty oil heaters, the producer sells more stabilized oil in the liquid phase instead of compressing or flaring in the vapor phase.
The novel vapor pressure monitoring and emission control system is installed on new or existing facilities and utilizes existing pressure and temperature instrumentation with added supplemental wireless instrumentation as necessary. The pressure and temperature process data arer outed to a proprietary process simulation algorithm which continuously calculates the oil vapor pressure and compares the result to the operator's allowable facility output oil vapor pressure. The system additionally provides the required facility output oil temperature and sends a process control signal to the facility conditioning equipment, such as heater treaters or oil coolers, and maintains a consistent, full-time traceable facility output oil vapor pressure.
The benefits of this oil vapor pressure control system include higher profitability and return on investment from higher oil sales volume, substantial reduction in greenhouse gas emissions, substantial reduction in tank venting and facility flaring, elimination of capital cost for vapor recovery towers, reduction in capital cost and operating cost for vapor recovery compression, reduction in fuel gas cost from heater treater burner optimization and control, and vapor pressure alarms provide immediate notification of operational upsets.
A six-month North Dakota Bakken case study is presented showing field data and performance across summer and winter operation at a 5,000 - 6,000 barrel of oil per day facility. The oil vapor pressure monitoring and control system provided a 55% reduction in low pressure flaring, increased the oil sales volume approximately 1%, and avoided 2,240 metric tons of green house gas emissions over a 6-month period.
Impact of Tailored Plunger Lift Solution on Unconventional Well – Middle East Case
Authors: Morillo Moraima D. , Machado Humberto J. 
Published: September 2022

Abstract
Plunger Lift systems (PLS) have been proven to be successful for decades in North America and extended into traditionally lower productivity well areas. As well production declines and the flowing bottomhole production increases, the velocity required to remove the accumulated liquids from the wellbore falls below critical velocity, therefore requiring the application of a deliquification method. This project aimed to study an unconventional well for plunger lift solution with challenging mechanical conditions and harsh downhole environment.
In unconventional areas, selecting the proper Artificial Lift System (ALS) needed to produce huge gas reserves comes with technical challenges. A field case study is provided to review the selected horizontal well for a plunger lift solution with mechanical ID restriction in a currently ongoing full field development for an unconventional reservoir in Middle East. For the operating company, the original plan was to operate it with rod lift system. However, when the liquid production is not too large (&lt;200 Bbl/d) and there is sufficient gas volume and pressure, plunger lift should be evaluated first, therefore postponing the rod lift installation.
This paper will describe the process and results of installing a Tapered Progressive Plunger Lift (TPPL) solution in a horizontal with 5,000-ft lateral and downhole temperatures around 300°F. The existing completion design included a casing size reduced from 5-1/2″ to 4-1/2″ and subsequently designed with a reduced tubing string size as well, from 2-7/8″ to 2-3/8″, representing a mechanical restriction of the Internal Diameter (ID) profile. The tailored plunger lift solution was implemented allowing the packered well with a tapered tubing string design to unload liquids in the wellbore without having to pull the tubing. This was accomplished by adapting the PL installation with a tapered Intermediate landing assembly seating at the tubing crossover. This arrangement not only help counteracted the liquid accumulation of each tubing section but also extended the life of the well by minimizing the condensate to oil ratio and water to oil ratio. A secondary benefit was to fine tune the material selection of the downhole equipment for the harsh reservoir environment. The approach used to enable the adequate selection of the ALS will be described by detailing benefits and results of the TPPL application that have efficiently and economically added value to the unconventional well.
In a long-term perspective, the implementation of the Tailored Plunger Lift Solutions can adapt successfully to other wells within the area where these types of completions are commonly use thus helping the full development of green unconventional fields.
A non-entropy based optimal multilevel threshold selection technique forCOVID-19 X-ray images using chance based birds’ intelligence
Authors: Das Gyanesh , Swain Monorama , Panda Rutuparna , Naik Manoj K , Agrawal Sanjay 
Published: September 2022

Abstract
Recently, image thresholding methods based on various entropy functions have been found popularity. Nonetheless, entropic based methods depend on the spatial distribution of the grey level values in an image. Hence, the accuracy of these methods is limited due to the non-uniform distribution of the grey values. Further, the analysis of the COVID-19 X-ray images is evolved as an important area of research. Therefore, it is needed to develop an efficient method for the segmentation of the COVID-19 X-ray images. To address these issues, an efficient non-entropy based thresholding method is suggested. A novel fitness function in terms of the segmentation score (SS) is introduced, which is used to reduce the segmentation error. A soft computing approach is suggested. An efficient optimizer using the chance based birds’ intelligence is introduced to maximize the fitness values. The new optimizer is validated utilizing the benchmark test functions. The statistical parameters reveal that the suggested optimizer is efficient. It shows a quite significant improvement over its counterparts – optimization based on seagull/cuckoo birds. The paper also proposes a SS maximization-based optimal multilevel threshold selection technique called SS-SGCS. Precisely, the paper includes three novel contributions – i) fitness function, ii) chance based birds’ intelligence for optimization, iii) multiclass segmentation. The COVID-19 X-ray images are taken from the Kaggle Radiography database, to the experiment. Its results are compared with three different state-of-the-art entropy based techniques – Tsallis, Kapur’s, and Masi. For providing a statistical analysis, Friedman’s mean rank test is conducted and our method Ranked one. Its superiority is claimed in terms of PSNR, FSIM and SSIM. On the whole, an improvement of about 11% in PSNR values is achieved using our proposed method. This method would be helpful for medical image analysis.
Analysis on Resource Allocation at Edge using Federated Fuzzy Learning with Artificial Neural Network
Authors: K Praghash , N Yuvaraj , T Karthikeyan , Raja Arshath , Peter Geno , S Karthick , Stonier Albert Alexander 
Published: September 2022

Abstract
In recent times, edge computing offers new solutions to support intelligent decision making for better allocation of the resources. However, most of the distributed computing services fails in overcoming the bottleneck of the network in the form of complex memory computation and communication cost between the edge devices/edge nodes/cloud centers. To mitigate such challenges, it is essential to distribute the workload such that the issues associated with complex memory computations and communication cost can be eliminated further. The main objective of the work is to reduce the cost of storage and computations in cloud associated with neural networks as the computational complexity increases with increased number of hidden layers. Hence, the study designs a distributed modelling to make optimal decision making on resource allocation in unreliable or slow neworks, where edge node plays a major role in reducing the network constraints. In this paper, Federated Fuzzy Learning is modified to operate as a distributed Machine Learning model with distributed resource allocation settings. It ascends the ability to get trained with available data and allocates optimal workload based on the constrained resources available, slow network connection and increased number of edge devices. The optimization of workload prediction w.r.t to the resource allocation is effectively communicated via edge nodes from the cloud centers. The edge devices and edge nodes are allowed independently to update the current network status to the cloud center i.e. local data is updated frequently to compute the global data. The simulation shows that the distributed computing using Federated Fuzzy Learning with Artificial Neural Network algorithm as its base algorithm shows effective resource management and allocation than conventional methods. Extensive computation shows increased scalability, effectiveness and network performance in edge computing platform.
Novel Formulation and Evaluation of Poly Herbal Mosquito Repellent
Authors: Gupta Deepak Kumar , Gupta Revathi , Tiwari Akhilesh 
Published: September 2022

Abstract

Aromatic plants produce chemicals that they use to resist phytophagous attacks Mosquito with various pathways, such as repellents, protective eating, metabolites and development Controllers etc. Now, present-day conditions result in the burgeoning need for natural mosquito repellents that would have cheap, reliable, non-toxic, environmentally safe, and biodegradable attributes. Driven by the global need to move forward, mosquito repellent candle and Mosquito repellent gel formulation based on carbopol 934 was prepared from the Origanum Majorana, Tanacetum Cinerarifolium, Juniperus Communis, Scented Geranium, Thuja Occidentalis L., Tecoma Stans (L.), Artenmisia Arborescent, And Calamintha Acinos and They are further tested for their size, pH, viscosity, spread ability, extrudability, swelling index and accelerated tests. The prepared candle was tested for flammability and was burnt Performance with respect to burning time and consequently its efficacy Spotting operation. Candle in flammability check was performed to Checks its consistent laboratory combustibility. Basic Therefore, on performance, the time taken to light the candle and its Causal symptoms such as pain, coughing has been reported and recorded in identified mosquitoes vulnerable at night and in the field above. Throughout many developed countries, where most residents have little exposure to mosquito net, high-cost mosquito repellent creams, and miscellaneous physical approaches, this formulation of gel may be an efficient, affordable, and easily accessible way to deter mosquito-borne diseases such as malaria, dengue, etc. in the lower parts of society.
Effects of a one-week vacation with various activity programs on well-being, heart rate variability, and sleep quality in healthy vacationers - an open comparative study
Authors: Hübner Markus , Lechleitner Peter , Neumayr Günther 
Published: September 2022

Abstract
Objectives: This open comparative study aimed to analyze the effects of a one-week vacation with various activity programs on well-being, heart rate variability (HRV) and sleep quality in healthy vacationers.
Methods: 52 healthy untrained vacationers spent a one-week vacation with regular exercise in East Tyrol. Exercise was performed on six of seven days. The study participants were divided into a) Group 1, playing golf (G), and b) Group 2 performing Nordic walking or e-biking (NW&EB). Well-being was measured with the WHO-5 well-being-index; stress and recovery status was obtained with the EBF-24-questionnaire (recovery-stress questionnaire). HRV-parameters were measured with a 24-hour-ECG (electrocardiogram). Sleep quality was derived from the EBF-24 questionnaire and sleep architecture from HRV-analysis. Examinations were performed one day before and after the vacation.
Results:Well-being significantly improved in the G group (+40%, p < 0.001) and NW&EB group (+19%, p = 0.019). The stress and recovery profile also improved significantly in both groups (stress-decrease: -43.7% G group; -44.7% NW&EB group; recovery-increase: +23.6% G group; +21.5% NW&EB group). Except for the SDNN (standard deviation of the NN interval), no significant change was noted in HRV-parameters. SDNN improved significantly only in the NW&EB group (+9%, p < 0.05). Sleep quality (+21% G group, p = 0.029; +19% NW&EB group, p = 0.007) and architecture (-10% G group, p = 0.034; -23% NW&EB group, p = 0.012) significantly improved in both groups.
Conclusion: A short-term vacation with regular exercise was well tolerated by the study participants and improved well-being, sleep quality, HRV and autonomic regulation.
Trial registration: Registry and the registration no. of the study/trial: Approval was received from the ethics committee of the Leopold Franzens University of Innsbruck (AN2013-0059 332/4.8)
First insight into microplastic groundwater pollution in Latin America: the case of a coastal aquifer in Northwest Mexico
Authors: Alvarado-Zambrano Daniela , Rivera-Hernández José R. , Green-Ruiz Carlos 
Published: September 2022

Abstract
Microplastics have been studied on biota and other environmental domains, such as soils. Despite the importance of groundwater as a resource for millions of people worldwide as drinking water and personal hygiene, domestic, agricultural, mining, and industrial purposes, there are very few studies concerning MPs in this domain around the world. We present the first study in Latin America addressing this topic. Six capped boreholes were analyzed in terms of abundance, concentration, and chemical characterization, at three different depths, from a coastal aquifer in Northwest Mexico. This aquifer is highly permeable and affected by anthropogenic activities. A total of 221 MPs were found in the eighteen samples. In terms of concentration, the interval ranged from 4 to 29 particles/L, with an average of 12.3 particles/L. Four synthetic polymers were identified: isotactic polypropylene (iPP), hydroxyethylcellulose (HEC), carboxylated polyvinyl chloride (PVC), and low-density polyethylene (LDPE); with iPP being the most abundant (64.3%) in each borehole. Agriculture activities and septic outflows are considered the potential regional sources of these contaminants into the aquifer. Three possible transport pathways to the aquifer are suggested: (1) marine intrusion, (2) marsh intrusion, and (3) infiltration through the soil. More research about the occurrence, concentration, and distribution of the different kinds of MPs in groundwater is needed to have a better understanding of the behavior and health risks to organisms, including human beings.
Trans-ancestral genome-wide association studies of brain imaging phenotypes
Authors: Yu Chunshui , Fu Jilian , Zhang Quan , Wang Jianhua , Wang Meiyun , Zhang Bing , Zhu Wenzhen , Qiu Shijun , Geng Zuojun , Cui Guangbin , Yu Yongqiang , Liao Weihua , Zhang Hui , Gao Bo , Xu Xiaojun , Han Tong , Yao Zhengwei , Qin Wen , Liu Feng , Liang Meng , Wang Sijia , Xu Qiang , Xu Jiayuan , Zhang Peng , Li Wei , Shi Dapeng , Wang Caihong , Lui Su , Yan Zhihan , Chen Feng , Zhang Jing , Li Jiance , Shen Wen , Miao Yanwei , Wang Dawei , Xian Junfang , Gao Jia-Hong , Zhang Xiaochu , Xu Kai , Zuo Xi-Nian , Zhang Long Jiang , Ye Zhaoxiang , Chen Jingliang , Li Mulin Jun 
Published: September 2022

Abstract

Genome-wide association studies of brain imaging phenotypes are mainly performed in European populations, but other populations are severely under-represented. Here, we conducted Chinese-alone and trans-ancestral genome-wide association studies of 3,414 brain imaging phenotypes in 7,058 Chinese and 33,224 European individuals. We identified 37 novel variant-phenotype associations in Chinese-alone analyses and 459 additional novel associations in trans-ancestral meta-analyses under the thresholds of P < 1.46 × 10− 11 for discovery and P < 0.05 for replication. We pooled genome-wide significant associations for brain imaging phenotypes identified in either single-ancestral or trans-ancestral analyses into 6,361 independent significant associations. These associations were unevenly distributed in the genome and across the brain phenotypic subgroups and demonstrated significant enrichment for nervous system development and signal transduction. We further categorized the 4,890 pooled genome-wide significant associations whose index variants were included in both Chinese and European analyses into 43 ancestry-specific and 3,524 ancestry-shared associations. Loci of the 6,361 pooled genome-wide significant associations for brain imaging phenotypes were shared by 16 brain-related non-imaging traits including cognition, personality, risk behavior, addiction, and neuropsychiatric disorders. Our results provide a valuable catalog of genetic associations for brain imaging phenotypes in diverse populations.
Revised calculation of the coefficient of parentage in plant breeding
Authors: Hernandez-Suarez Carlos , Montesinos-López Osval 
Published: September 2022

Abstract
The knowledge of the genetic similarity between two individuals has been useful for animal breeders for a long time, and one of the most common measures of similarity is the Coefficient of Parentage (COP). For two individuals X and Y, it is defined as the probability that an allele taken from a particular locus in individual X is equal by descent to another allele taken from the same locus in individual Y, thus, the COP between two individuals is the same as the expected inbreeding of their offspring, and it is now a routine calculation among plant breeders as part of crop improvement programs. Nevertheless, plant breeders deal with the genealogy between strains or groups of individuals, and here we provide a mathematical proof that in this case the application of standard formulae replicated from animal breeding may result in overestimation of the true amount of inbreeding between two strains.
Enhancing the Protection of Influenza Virus Vaccines with BECC TLR4 Adjuvant in Aged Mice
Authors: Frieman Matthew , Haupt Robert , Baracco Lauren , Harberts Erin , Loganathan Madhumathi , Kerstetter Lucas , Krammer Florian , Coughlan Lynda , Ernst Robert 
Published: September 2022

Abstract
Influenza A virus (IAV) is a leading cause of respiratory disease worldwide often resulting in severe morbidity and mortality. We have previously shown that the Bacterial Enzymatic Combinatorial Chemistry (BECC) adjuvants, BECC438 and BECC470, formulated with an influenza virus hemagglutinin (HA) protein vaccine, offer greater protection from influenza virus challenge in mouse respiratory models using adult mice than standard HA:adjuvant combinations. In this study, we determined that immunization with HA+BECC adjuvants also significantly broadened the epitopes targeted on HA as compared with other adjuvants, resulting in increased titers of antibodies directed against the highly conserved HA stalk domain. Importantly, we demonstrate that BECC470 combined with an influenza virus HA protein antigen in a prime-only immunization regimen was able to achieve complete protection from challenge in a ~12-month-old mouse aged model.
Together, this demonstrates the heightened protection provided by the BECC470 adjuvant in an influenza virus vaccine model and shows the enhanced immune response, as compared to other adjuvants elicited by the formulation of HA with BECC470.
Comparison of clinical outcomes of stoma reversal during versus after chemotherapy for rectal cancer patients
Authors: Tsai Kun-Yu , You Jeng-Fu , Huang Shu-Huan , Tsai Tzong-yun , Hsieh Pao-Shiu , Lai Cheng-Chou , Tsai Wen-Sy , Hung Hsin-Yuan 
Published: September 2022

Abstract
Purpose:
The optimal timing of stoma closure during or after adjuvant chemotherapy for rectal cancer patients undergoing sphincter-preserving surgery remains unknown. This study aimed to investigate the influence of clinical and oncological outcomes depending on the timing of stoma closure.
Methods:
Between January 2006 and December 2015, we enrolled 244 consecutive rectal cancer patients who underwent curative-intent sphincter-preserving surgery with diverting colostomy and adjuvant chemotherapy. Patients with stoma closure during (During group) adjuvant chemotherapy were compared to those who had stoma closure after adjuvant chemotherapy (After group).
Results:
Parastomal hernia occurred more frequently in the after group than in the during group. (10% vs. 2.9%, p = 0.028). Overall, no significant difference was observed in overall survival (OS) or disease-free survival (DFS) between the two groups (p = 0.911 for OS, p = 0.505 for DFS). However, an inferior OS occurred if reopen surgery was performed within 30 days of stoma closure in the during group, as compared with the after group (p = 0.004). In addition, a marginally poor DFS was observed in the group of patients who received further operations due to 30-day stoma closure complications compared to the other patients (p = 0.07).
Conclusions:
For rectal cancer patients who underwent sphincter-preserving surgery, attention should be given to avoid 30-day major complications after stoma reversal because patients who require reoperation during adjuvant chemotherapy may have poor long-term survival.
A New and Advanced Method for Cloud Data Security
Authors: Gaur Mayanka , Jailia Manisha 
Published: September 2022

Abstract
We are introducing and implementing a novel method for cloud data security in this paper. In this novel method, five arithmetic operations which are basic (i.e. Addition, Subtraction, Multiplication, Division and Modulo) are performed on ASCII digits of every cover text character and these values which are newly generated are used for encryption of plain text parallelly. These each new generated values and two plain text characters in ASCII code will be encrypted in parallel way from beginning and from end of plain text. One cover text character hides at most ten plain text characters in our proposed approach. Since only one cover text character is used therefore less memory is required for storing cover text on cloud storage. Since we are using basic arithmetic operations therefore execution time is reduced and due to our parallelism approach, performance of overall system is enhanced.