bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding Wettability of SiO2-Brine-CO2 System Using Modified DLVO Theory and its Applications in Carbon Geo-Sequestration Processes
Authors: Agrawal Bhautik 
Published: September 2022

Abstract
The reduction of Carbon footprints without hindering the evolution of the fossil fuel industry is the subject of prominent attention and research these days. In multi-phase rock-fluid systems, the wettability characteristics play a substantial role in determining the trustworthiness of underground reservoir formations for holding CO2 in situ for Carbon Geo-sequestration applications. Despite several struggles over the modern years in recognizing the aspects such as the information on the wettability of systems comprising CO2 under supercritical conditions and the zeta potential over the brine- CO2 film interfaces, inferring the wettability of the complete arrangement are crucial uncertainties and voids in our existing knowledge. Again, one needs to deal with the concepts of wettability and capillary pressures to understand the suitability of a formation for carbon sequestration. This study focuses on the sequestration of carbon in deep saline brine reservoirs. Under the intense pressure and temperature situations in these formations, CO2 can exist in a supercritical state and thus have a liquid-like density, enabling efficient utilization of the pore spaces in those formations.
In this research, a mathematical model based on the modified DLVO (Derjaguin, Landau, Verwey, and Overbeek) theory is designed to provide a better insight into the wettability of supercritical CO2 systems by utilizing fundamental principles to evaluate contact angles. The base model has been modified in the course of the study to accommodate for the properties of supercritical CO2. This model can also take up the experimental contact angle measurements as an input to anticipate values of critical properties that are presently unfamiliar, as they are challenging to analyze, such as the zeta potential on brine- CO2 interfaces. This model could also predict the suitability of geological reservoirs for carbon sequestration by evaluating the wettability under known conditions.
Waterflood Optimization on the West Siberia Field with Hydrodynamic Modeling
Authors: Dormenev Vladislav 
Published: September 2022

Abstract
Waterflooding is the main method of developing oil fields both in Western Siberia and in most other oil-producing countries. Most of these fields located in Russia are mature. Creating new technologies or optimizing the existing ones is the key to the effective development of residual hydrocarbon reserves. Optimization of a waterflood pattern is one of the main tasks of the oil industry. It implies planning and implementing a set of measures in the field that will affect the waterflood pattern and either increase the oil recovery factor, production or optimize the complex technical-economic parameter.
The purpose of the work is to increase the efficiency of oil field development by optimizing the waterflood pattern by means of hydrodynamic modeling on the example of the Western Siberian field.
Waterflood optimization can be accomplished by sidetracking or changing the development system. An integral element of a waterflood optimization system is always a field model, based on which the implementing different measures is planned. In this paper, hydrodynamic modeling was used to evaluate the effectiveness of waterflood optimization. It is considered one of the most powerful predictive tools available to reservoir engineers.
RN KIN software was studied, with the help of which the basic data about the field was obtained. The waterflood pattern was selected for the decision to implement a local measure. A hydrodynamic model was used to analyze the effectiveness of the measure. Waterflood pattern model of the field was built and adapted. Four measures, potentially aimed at increasing the efficiency of the waterflood pattern, were proposed. After carrying out calculations, the best of them was selected from a technical and economic point of view. Hydrodynamic modeling and calculation of development parameters were carried out in the Petrel software.
In the course of the study, the possibility of using hydrodynamic modeling to analyze the efficiency of the waterflood pattern was shown. Sidetracking of the longest length proved to be the most effective measure to increase cumulative oil production and reduce cumulative water production. Thus, the paper obtained results that can serve as a good basis for justifying the effectiveness of well intervention on the example of the oil field in Western Siberia.
Optimization of Machine Tractor Outfit: - Case of Disc Plough
Authors: Gebrekidan Biniam Zewdie , Demissie Meron Girma , Kolhe Kishor Purushottam 
Published: September 2022

Abstract
Agricultural mechanization in Ethiopia is found to be at minimum level mainly depending on draft animals and human drudgery. One of the factors affecting on tractor matching to a proper disc ploughs in different climate and soil conditions. The objective of this study was to optimize machine tractor outfit for some selected agricultural tractor with disc plough. Therefore, three models of disc plough with tractors 80 hp and 50hp on the 2nd and 3rd gears forward speeds of 1.18 m/s, 2.01m/s, 0.89 m/s, and 1.18m/s respectively was tested and ploughed in vertisol and sandy clay loam soil type. The results obtained during ploughing operation in vertisol soil type 80 hp with 4 bottom disc plough 66 cm disc diameter the field capacity, average pull force and average fuel consumption was 0.35 ha/hr, 17000N and 28 lit/ha respectively and 80 hp with 3 bottom disc plough 66 cm disc diameter the field capacity, average pull force and average fuel consumption was 0.52 ha/hr, 13500N and 21.8 lit/ha respectively. Sandy clay loam soil 80 hp with 4 bottom disc plough 66 cm disc diameter the field capacity, average pull force and average fuel consumption was 0.62 ha/hr, 11500N and 20 lit/ha respectively and 80 hp with 3 bottom disc plough 66 cm disc diameter the field capacity, average pull force and average fuel consumption was 0.52 ha/hr, 8500N and 23.08 lit/ha respectively. Sandy clay loam soil 50 hp with 3 bottom disc plough 66 cm disc diameter the field capacity, average pull force and average fuel consumption was 0.31 ha/hr 8500N and 19.2 lit/ha respectively and 50 hp with 4 bottom disc plough 50 cm disc diameter the field capacity, average pull force and average fuel consumption was 0.26 ha/hr, 7500N and 15.39 lit/ha respectively. Based on the performance evaluation results in vertisol soil type 80 hp tractor with 3 bottom disc plough 66 cm disc diameter and in sandy clay loam soil type 80 hp tractor with 4 bottom disc plough 66 cm disc diameter, 50 hp tractor with 3 bottom disc plough 66 cm disc diameter was the most appropriate for ploughing as it recorded the highest field capacity, low pull force and fuel consumption.
Integration of FOPID and Mayfly Algorithm for SEPIC with Multi-objective Functions
Authors: SHRUTHI A. , SRINIV A. 
Published: September 2022

Abstract
SEPIC DC/DC with a single stage converter is organized in this work. Still, there is an energy loss of the single-ended primary-inductor converter (SEPIC), there is a need for deriving the new algorithmic model with modern concepts. A novel intelligent optimization algorithm namely mayfly algorithm is approached with unique optimization capabilities i.e. recently proposed. The topology of chosen controller has the conjunction of FOPID and Multi-objective Mayfly Algorithm (M2A), which is named as M2A-FOPID. To succeed this outcome from converter, an optimized FOPID can be utilized. The classic Fractional-Order Proportional-Integral-Derivative (FOPID) controller under single operating conditions with single objective optimization is expanded to a multi-objective configuration. An enhanced mayfly algorithm with FOPID depends upon the position of multi-objective functional group, which is incorporated in the above mentioned converter. The reference voltage of the controller is tuned and the generated PWM is optimized by the M2A-FOPID model, which can be applied to SEPIC. It provides an enthusiastic research value. On the other hand, there are some inadequate explorations, and also it may easily fall into the local optimization problem. The targets of this work can be able for boosting up the performance outcomes of the mayfly algorithm and this optimized value can find out its application in FOPID controller for multi-objective problems. To inaugurate the multi-objective FOPID (MO-FOPID) controller optimization issue under various multiple working situations, the integral of the time multiplied absolute error (ITAE) index at both high and low working condition is further comprised as objective functions. The M2A-FOPID is coupled to the SEPIC model and the mutual effectiveness of this controller with the combined model is experimentally tested. Also, the improvement of exploration is verified using the simulation model that is established in MATLAB /Simulink.
Adaptations of two Psychotherapeutic techniques in the Cultural dynamics of Postnatal Depressive Women attending Post-Antenatal Clinic in a Teaching Hospital in Awka Nigeria
Authors: Abamara Nnaemeka Chukwudum , Obiora Nzube Benjamin , Vivalya Bives Mutume Nzazu 
Published: September 2022

Abstract
The study investigated the adaptation of two Psychotherapeutic techniques namely Meseron therapy and cognitive behavioural therapy in the cultural dynamics of postnatal depressive women attending a post-antenatal clinic in a Teaching Hospital in Nigeria. We enrolled two hundred participants randomly selected among Igbo women from South-East Nigeria suffering from postnatal depression. MT and CBT were used as psychotherapeutic interventions to alleviate the mental health condition of the women. The treatment modalities were modified in line with the cultural context of the study, across three domains for MT and eight domains for CBT, ranging from the patients’ cultural factors in the Igbo communities. The study is a survey, adopting a between-subject design and the data was analysed with a one-way analysis of variance. The findings revealed that the cultural adaptations of Meseron therapy were more effective than cognitive behavioural therapy in the treatment of nursing mothers suffering from postnatal depression. It was recommended that psychotherapists and mental healthcare practitioners should adopt these approaches to treatment in relation to the cultural dynamics of their patients.
Artificial Intelligence Model for Parkinson Disease Detection using Machine Learning Algorithms
Authors: Yadav Sunil 
Published: September 2022

Abstract
Background
In order for Parkinson's disease (PD) treatment and examination to be logical, a key requirement is that estimates of disease stage and severity are quantitative, reliable, and repeatable. The PD research in the past 50 years has been overwhelmed by the subjective emotional evaluation of human’s understanding of disease characteristics during clinical visits.
Method
The Parkinson's disease data set contains 23 features and 197 instances, of which 8 patients are sound and 23 patients, are analyzed as PD patients. Relying on chi2 test, extra trees classifier and correlation matrix as feature extraction strategies and relying on Decision Trees, K Nearest Neighbors, Random Forests, Bagging, AdaBoosting and Gradient Boosting as supervised AI calculations for permutation calculations. The calculation is based to obtain higher classifier accuracy, as well as ROC curves accuracy.
Results
Three conspicuous component selection strategies allow each of the 23 features to select 10 best performing features. The DT classifier has a higher accuracy of 94.87% in a dataset with 23 attributions, just like a dataset with 11 features. These results are also checked by ROC curve (AUC = 98.7%).
Conclusions
This calculation significantly separates PD patients from patients at the individual level, thus ensuring the use of computer-based findings in clinical practice.
Changes of alpha-2-macroglobulin activity in tear fluid in experimental retinal pigment epithelium atrophy of rabbits
Authors: Neroeva N. V. , Chesnokova N. B. , Katargina L. A. , Pavlenko T. A. , Beznos O. V. , Ilyukhin P. A. , Utkina O. A. 
Published: September 2022

Purpose. To assess the validity of alpha-2-macroglobulin ( 2-MG) activity and endothelin-1 (ET-1) concentration for the characterization of local metabolic disorders in experimental retinal pigment epithelium atrophy (RPE).Material and methods. To reproduce RPE atrophy, 22 New Zealand Albino rabbits were given a subretinal injection of bevacizumab or saline. Tear fluid was collected before the injection and 3 months after it. In the second series of the experiment, tear fluid was also collected on the 3rd, 7th, 14th, 21st and 28th days after bevacizumab injection. Tear fluid was analyzed for the activity of 2-MG using the fermentation method and for ET-1 concentration by the immunoenzymatic method.Results. 3 months after bevacizumab injection, 2-MG activity in the tear remained normal, while after saline injection it was, on average, twice as high as the initial one. ET-1 concentration showed a significant increase of over 1.5 times on the 3rd day after bevacizumab injection both in the tear of the operated and the contralateral eyes.Conclusion. Subretinal bevacizumab injection had no significant lasting damaging effect on the retina, as opposed to saline injection that led to an increase of 2-MG activity in the tear. A transitory increase of ET-1 concentration in the tears after bevacizumab injection may indicate vascular tone elevation in the eye during this period. The study of 2-MG activity and ET-1 concentration in the tear may be used to monitor local metabolic shifts in experimental RPE atrophy development, as well as to assess the post-transplantation process and therapy adequacy.
Model-based identification and testing of appropriate strategies to minimize N2O emissions from biofilm deammonification
Authors: Freyschmidt A. , Beier M. 
Published: September 2022

Abstract
Based on a one-year pilot plant operation of a two-step biofilm nitritation-anammox pilot plant, N2O mitigation strategies were identified by applying a newly developed biofilm modeling approach. Due to adapted plant operation, the N2O emission could be diminished by 75% (8.8% → 2.3% of NH4-Noxidized_AOB). The results (measurement and simulation) confirm the huge importance of denitrification as an N2O source or N2O sink, depending on the boundary conditions. A significant reduction of N2O emissions could only be achieved with a one-step deammonification system, which is related to low nitrite and HNO2 concentrations. Increased oxygen concentrations in the bulk phase are not related to decreased emissions. N2O formation by ammonium-oxidizing bacteria (AOB) just shifts deeper into the biofilm; zones with low oxygen concentrations are not avoidable in biofilm systems. Low oxygen concentrations in the bulk phase, however, result in a reduction of the total net N2O formation due to increased activity of heterotrophic bacteria directly at the source of N2O formation (outer biofilm layer). For the model-based identification of mitigation strategies, the standard modeling approaches for biofilms were expanded by including the factor-based N2O formation and emission approach. The new model ‘Biofilm/N2OISAH’ was successfully validated using data from pilot-scale measurement campaigns. Altogether, the investigation confirms that the employed digital model can strongly support the development of N2O mitigation strategies without the need for specialized measurement inside the biofilm.
Perceptions of a Secure Cloud-Based Solution for Data Sharing During Acute Stroke Care: Qualitative Interview Study
Authors: Tuler de Oliveira Marcela , Amorim Reis Lúcio Henrik , Marquering Henk , Zwinderman Aeilko H , Delgado Olabarriaga Sílvia 
Published: September 2022

Background
Acute stroke care demands fast procedures performed through the collaboration of multiple professionals across multiple organizations. Cloud computing and the wide adoption of electronic medical records (EMRs) enable health care systems to improve data availability and facilitate sharing among professionals. However, designing a secure and privacy-preserving EMR cloud-based application is challenging because it must dynamically control the access to the patient’s EMR according to the needs for data during treatment.

Objective
We developed a prototype of a secure EMR cloud-based application. The application explores the security features offered by the eHealth cloud-based framework created by the Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Health Care Horizon 2020 project. This study aimed to collect impressions, challenges, and improvements for the prototype when applied to the use case of secure data sharing among acute care teams during emergency treatment in the Netherlands.

Methods
We conducted 14 semistructured interviews with medical professionals with 4 prominent roles in acute care: emergency call centers, ambulance services, emergency hospitals, and general practitioner clinics. We used in-depth interviews to capture their perspectives about the application’s design and functions and its use in a simulated acute care event. We used thematic analysis of interview transcripts. Participants were recruited until the collected data reached thematic saturation.

Results
The participants’ perceptions and feedback are presented as 5 themes identified from the interviews: current challenges (theme 1), quality of the shared EMR data (theme 2), integrity and auditability of the EMR data (theme 3), usefulness and functionality of the application (theme 4), and trust and acceptance of the technology (theme 5). The results reinforced the current challenges in patient data sharing during acute stroke care. Moreover, from the user point of view, we expressed the challenges of adopting the Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Health Care Acute Stroke Care application in a real scenario and provided suggestions for improving the proposed technology’s acceptability.

Conclusions
This study has endorsed a system that supports data sharing among acute care professionals with efficiency, but without compromising the security and privacy of the patient. This explorative study identified several significant barriers to and improvement opportunities for the future acceptance and adoption of the proposed system. Moreover, the study results highlight that the desired digital transformation should consider integrating the already existing systems instead of requesting migration to a new centralized system.
Development of a Website for a Living Network Meta-analysis of Atopic Dermatitis Treatments Using a User-Centered Design: Multimethod Study
Authors: Lau Karen P L , Agarwal Payal , Parente Laura , Marcello Olivia , Lovas Mike , Van Jason , Vigod Simone N , Champagne Trevor , Mohan Tanya , Arents Bernd WM , Burton Tim , Flohr Carsten , Drucker Aaron M 
Published: September 2022

Background
A rapid expansion of systemic immunological treatment options for atopic dermatitis (AD) has created a need for clinically relevant and understandable comparative efficacy and safety information for patients and clinicians. Given the scarcity of head-to-head trials, network meta-analysis (NMA) is an alternative way to enable robust comparisons among treatment options; however, NMA results are often complex and difficult to directly implement in shared decision-making.

Objective
The aim of this study is to develop a website that effectively presents the results of a living systematic review and NMA on AD treatments to patient and clinician users.

Methods
We conducted a multimethod study using iterative feedback from adults with AD, adult caregivers of children with AD, dermatologists, and allergists within a user-centered design framework. We used questionnaires followed by workshops among patients and clinicians to develop and improve the website interface. Usability testing was done with a caregiver of a patient with eczema.

Results
Questionnaires were completed by 31 adults with AD or caregivers and 94 clinicians. Patients and caregivers felt it was very important to know about new treatments (20/31, 65%). Clinicians felt the lack of evidence-based comparisons between treatments was a barrier to care (55/93, 59%). “Avoiding dangerous side effects” was ranked as the most important priority for patients (weighted ranking 5.2/7, with higher ranking being more important), and “improving patients’ overall symptoms” was the most important priority for clinicians (weighted ranking 5.0/6). A total of 4 patients and 7 clinicians participated in workshops; they appreciated visualizations of the NMA results and found the website valuable for comparing different treatments. The patients suggested changes to simplify the interface and clarify terminology related to comparative efficacy. The user in the usability testing found the website intuitive to navigate.

Conclusions
We developed a website, “eczematherapies.com,” with a user-centered design approach. Visualizations of NMA results enable users to compare treatments as part of their shared decision-making process.
KERAGAMAN, HERITABILITAS, KORELASI, DAN ANALISIS LINTAS KARAKTER DAUN DAN BUAH PADA CABAI MERAH KERITING (Capsicum Annuum L.) GENERASI M5
Authors: Sa'diyah Nyimas , Pramudya Agi , Rugayah Rugayah , Karyanto Agus , Ramadiana Sri , Ramadhan Muhammad Elfajri 
Published: September 2022

Hasil produksi cabai di Indonesia dapat ditingkatkan dengan penerapan program pemuliaan tanaman. Beberapa parameter genetik meliputi keragaman, heritabilitas, korelasi, dan analisis lintas diperlukan agar seleksi dapat menjadi lebih efektif dan efisien. Penelitian ini bertujuan untuk mengetahui (1) keragaman karakter daun dan buah pada cabai merah keriting generasi M5. (2) heritabilitas karakter daun dan buah pada cabai merah keriting generasi M5. (3) korelasi antara karakter daun dan buah dengan produksi cabai merah keriting generasi M5. (4) pengaruh langsung dan tidak langsung karakter daun dan buah terhadap hasil cabai merah keriting generasi M5. Penelitian ini dilaksanakan pada bulan November 2020 sampai dengan Juni 2021 di Laboratorium Lapang Terpadu, Universitas Lampung. Penelitian ini menggunakan metode rancangan acak lengkap (RAL) dengan 3 ulangan. Hasil penelitian menunjukkan bahwa (1) Seluruh karakter daun dan buah memiliki keragaman genotipe yang sempit dengan keragaman fenotipe yang luas, (2) Heritabilitas yang sedang terdapat pada karakter panjang stomata generatif, bobot buah sampel, panjang buah, jumlah biji sampel dan bobot buah total, sedangkan karakter kehijauan daun vegetatif, kerapatan stomata vegetatif, panjang stomata vegetatif, kehijauan daun generatif, kerapatan stomata generatif, dan diameter buah menunjukkan heritabilitas yang rendah, (3) Korelasi positif sangat nyata terdapat pada karakter bobot buah sampel dengan panjang buah sampel. Panjang buah sampel dengan jumlah biji sampel, bobot buah sampel dengan jumlah biji sampel, bobot buah sampel dengan bobot buah total, panjang buah dengan jumlah biji sampel, panjang buah dengan bobot buah total, jumlah biji sampel dengan bobot buah total, dan kerapatan stomata vegetatif dengan kehijauan daun generatif (4) Terdapat nilai korelasi dan pengaruh langsung yang sama-sama positif antara karakter kerapatan stomata vegetatif, panjang stomata generatif, bobot buah sampel, panjang buah sampel, diameter buah sampel, dan jumlah biji sampel terhadap bobot total buah.