bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-Stage Fracturing Seepage Model and Productivity Prediction Method for Horizontal Wells in Shale Oil Reservoir-Use Horizontal Wells in Qingcheng Oil Field, China, as an Example
Authors: Ma Shuwei , Li Jian , He Youan , Liu Changchun , Lei Qihong , Huang Tianjing
Published: February 2023

Shale oil in Ordos basin, China, is being developed using horizontal well and volume fracturing. Elastic energy, dissolved gas expansion etc. are the main driving forces for fluid flowing from matrix to horizontal wellbore. However, flow mechanism varies greatly when hydrocarbon flows from matrix to artificial fractures and then to wellbore, due to huge differences in the sizes of flow channel, from nano-scale pore-throat in matrix to meter-scale channel in wellbore. Thus, a reasonable mathematical description of the structural characteristics of complex fracture networks is important for an accurate productivity prediction model of a horizontal well. In this paper, a physical model was first built dividing fluid seepage area into three sections and five small zones, which are horizontal wellbore zone, highly transformed zone, weakly transformed zone, drainage zone in matrix and the non-drainage zone in matrix. Joukowski transformation was then introduced before a mathematical solution was deduced, where law of equivalent seepage resistance and material balance method were applied. Then mathematical model of seepage in five different zones were built based on the solution considering different flow patterns, threshold pressure gradient and stress sensitivity in those zones. Productivity equation of multi-section-coupled seepage flow in three sections was deduced afterwards and came up with a fast calculation method to predict productivity in horizontal well with multi-scale nonlinear characteristics by solving analytical solutions for multistage mathematical models. The method has been applied to simulate dynamic development performance in 67 horizontal wells (have been producing for over 3 years) in Qingcheng oil field, Ordos basin, China, with an 82.01% of accuracy. The developed simulation model is expected to be applicable not only in the prediction of development performance in horizontal wells in shale oil and gas reservoir but also in other unconventional reservoirs such as carbonate reservoirs. The process may shed light on the ways to increase the total productivity of oil and gas recovery in hydrocarbon industry.
Pilot Installation of Ceramic Coated Through Tubing Sand Screen Installation in Gas Producer Offshore Malaysia
Authors: Ibrahim Kamal Sarah Nabilah , B M Zin Zulkifli , Kamarul Zaman Nur Hazrina , A Rahim M Shamir , Rosland Eadie Azahar , Salleh Khiril Shahreza
Published: February 2023

Well X, a gas producer located in offshore Malaysia had to be beaned down and subsequently shut in due to sand issues after 7 years of production through pressure depletion. It was completed in cased and perforated completion without any sand exclusion and has been producing since 2014. The evaluation on the sand control solution for Well X prioritizes remedial downhole sand control that is able to withstand highly erosive environment due to its high fluid velocity. As such, a ceramic coated Through Tubing Sand Screen (TTSS) was installed in 2021 and successfully reactivated the well to produce with minimal sand.

A series of qualification testing was conducted during the technology evaluation to demonstrate the ceramic coated TTSS resistance towards erosion and corrosion i.e. Gas Screen Erosion Test (GSET), Corrosion Test and Mechanical Strength Test. Studies on erosional velocity, Particle Size Distribution (PSD) and production analysis were conducted to determine the wire wrapped screen slot size and ensuring the mixture velocity is within the screen operating envelope.

Upon installation, the well performance was monitored using Acoustic Sand Monitoring (ASM) sensor and Online Sand Sampler (OSS) during the initial flowback and continued using manual spot sampling at the multiphase flowmeter. The screen retrieval was planned after 4 months flowing period for evaluation and the same screen was reinstalled as it was in good condition and met the inspection criteria. The installation of the ceramic coated Through Tubing Sand Screen (TTSS) at Well X has successfully demonstrated its resistance against erosion with good production and sand control performance.

This paper will share on the overview of the ceramic coated TTSS including the analysis on screen design selection, screen retrieval findings and well performance post TTSS installation.
A New Approach for Reservoir Connectivity Assessment and Flow Assurance Prediction Applying Reservoir Fluid Geodynamics
Authors: Ighodalo Endurance , Berkane Mustapha , Mattar Tariq , Abdulmoniem Mohammed
Published: February 2023

Traditional approach relys on reservoir pressures to assess reservoir connectivity in low permeability formations. This paper will present a new approach of applying Reservoir Fluid Geodynamics (RFG) through Flory Huggins-Zuo (FHZ) equation of state (EOS) for asphaltene distributions to determine reservoir connectivity and fluid typing in undrilled locations.

FHZ-EOS asphaltene gradient was constructed with data from downhole fluid samples in different wells covering two zones (A and B). The downhole fluid analysis (DFA) results were validated with laboratory analysis. The structural continuity of both zones across the study area in the field was validated using a wide range of geological data including conventional open-hole logs. The resulting FHZ-EOS model formed the basis for fluid typing, correlation and connectivity across layers. The DFA data was used in real time at different stages of formation fluid sampling cleanup to correlate the samples quality with the existing model.

The DFA data used in real time in conjunction with the pre-built FHZ-EOS model, improved the sampling quality check process and confidence in the sample quality, especially in the presence of low gas oil ratio (GOR) fluids. This improvement in real time data quality helped to optimize the pumping time and reduce the number of samples in each reservoir since the confidence in the sample quality was high. The constructed asphaltene gradient from the FHZ-EOS model also confirm the hydrocarbon continuity both vertically and laterally in undrilled locations with the study area of the field. For each of the zones, the data analysis shows a clear and distinct asphaltene gradient with different asphaltene molecule sizes. This supports the presence of heavy oil / tar towards the deeper sections of the area of interest within the field. It also predicted the depths / location of the heavy oil / tar, which will assist in the field development plan and flow assurance.
Integrated Measurement and Control Technology for Intelligent Artificial Lift Based on Multiphase Flowmeter
Authors: Chen Guanhong , Deng Feng , Chen Shiwen , Shi Junfeng , Jiang Weidong , Ma Gaoqiang , Wang Cai
Published: February 2023

Intermittent oil recovery is a direct and effective way to reduce energy consumption and improve recovery efficiency. However, the existing open and shut-in well procedure relies on manual control, which has problems such as increased labor costs, changeless intermittent parameters, poor energy saving, and also brings hidden dangers to wells. As multiphase flowmeter can detect fluid supply status of oil wells in real time, it could be a significant tool for intermittent production design.

This paper proposes a multiphase flow online measurement technology based on magnetic resonance, which can measure the production and composition of a single well in real time, with high frequency and accuracy. A set of oil well intelligent control system is developed to realize remote well open and shut in, and automatic and controllable intermittent oil production. A relationship model of well production data, open time and intermittent time is described by the machine learning-based algorithm. While the model is installed on wells, it can automatically learn and constantly refine the model to intelligently design an intermittent process.

The proposal of this technology integrates a single well from parameter measurement, data analysis to intelligent control, forming an intelligent closed-loop control of the artificial lift system. While reducing the accident rate, it has achieved maximum energy saving and efficiency improvement. This technology has achieved good results in field applications, with a power saving rate of more than 20%.

This technology is an important part of oilfield intelligence and automation and is an important step to improve the level of delicacy management of single wells and enhance the digital construction of oilfields. At the same time, the technology does not involve any information such as electrical parameters, indicator diagrams, etc. Thus, it can be extended to other forms of oil production wells other than pumping wells to improve production efficiency, save energy and reduce consumption, and realize the safe and sustainable development of oil fields.
Data Driven Modelling to Predict Poisson's Ratio and Maximum Horizontal Stress
Authors: Shreif Mariam , Kalam Shams , Khan Mohammad Rasheed
Published: February 2023

During the design phase of oil and gas well drilling plans, predicting geomechanical parameters is an indispensable job. Accurate estimation of the Poisson's ratio and the maximum horizontal stress is essential where inaccurate estimation may result in wellbore instability and casing collapse increasing the drilling cost. Obtaining mechanical rock properties using mechanical tests on cores is expensive and time-consuming. Machine learning algorithms may be utilized to get a reliable estimate for Poisson's ratio and the maximum horizontal stress. This research aims to estimate the static Poisson's ratio and the maximum horizontal stress based on influencing factors from well-log input data through an Extreme gradient boosting algorithm (XGBoost). In addition, the XGBoost model was also compared with Random Forest.

A real data set comprised of 22,325 data points was collected from the literature representing influencing variables which are compressional wave velocity, share wave velocity, bulk density, and pore pressure. The data set was split into 70% for training, and 30% for testing the model. XGBoost and random forest were used for training and testing the model. Mean absolute percentage error (MAPE), root mean squared error (RMSE), and coefficient of determination (R2) were assessed in the error metrics to obtain the optimum model. XGBoost and random forest were implemented using the k-fold cross-validation method integrated with grid search.

The proposed XGBoost model shows an effective correlation between the geomechanical parameters (static Poisson's ratio and the maximum horizontal stress) with the input variables. The performance of the XGBoost model was found better than that of the random forest. The evaluation estimates more than 90% of R2 and approximately 4% of MAPE for the training and testing data.

The key contribution of this work is the proposal of an intelligent model that estimates the geomechanical parameters without the need for destructive mechanical core testing. A reliable XGBoost model to predict the static Poisson's ratio and the maximum horizontal stress will allow improved wellbore stability analysis which significantly introduces efficiency gains.
Seismic Driven Machine Learning to Improve Precision and Accelerate Screening Shallow Gas Potentials in Tunu Shallow Gas Zone, Mahakam Delta, Indonesia
Authors: Herbet Ronald , Hibatullah Muhammad Irsyad , Restiadi Depi , M.Adam Cepi , Satria Andrean , Rusady Taufan , Mordekhai Mordekhai , Ummah Khairul
Published: February 2023

Tunu Shallow Zone (TSZ) is one of producing zone in Tunu Field. Tunu Field is a giant gas field located in the present-day Mahakam Delta, East Kalimantan, Indonesia. The gas reservoirs are scattered along the Tunu Shallow Zone and correspond with fluvio-deltaic series and main lithologies are shale, sand and coal layes. The development of TSZ heavily relies on seismic to access and identify gas sand reservoirs as drilling targets.

Anomaly seismic is correspond with the gas sand reservoirs, however with the conventional use of seismic that is difficult for differentiating the gas sands from the coal layers. We established Tunu reliable technology which is comprised four different analyses on stacks, CDP Gathers, AVA/AVO, and litho-seismic cube. We are hit high success rate in identifying gas but requires a lot of time to assess the prospect. But the challenge is to access more than 20, 000 shallow geobodies in time manner, faster and more efficient to fulfill our drilling sequences target and speed-up the development phase.

Therefore, we are developing seismic driven supervised machine learning to fit learn geological Tunu characteristic to be gas reservoirs. Several machine learning algorithm has been tested and selected based on several criteria such as AVA/AVO, and amplitude of seismic. The algorithm used to learn behavior of seismic correspond with gas reservoir from data training then applied it to validation and blind dataset for evaluating final models. The final machine learning output is gas probability cube with precision of 70-80% precision from well drilled result in term of gas occurence. Furthermore, unsupervised machine learning has been used to extract potential prospecting targets as geobody targets. Initial test showed encouraging result to extract geobody targets in the shorter time compare with the conventional geomodeling. The final goals are optimizing our current workflow for screening shallow gas potentials, accelerate screening in the future well targets with more efficient, effective way and independent of subjectivity, allowing 2G (geologist and geophysicists) explore deeper and confident way when targeting next future shallow gas target.

Usage of seismic driven machine learning for targeting shallow gas reservoir is one big step in the current oil and gas industry and in the same time opening more opportunity to maximize powerful machine learning in 4.0 industry era which is need accuracy, more precise, robust, faster and efficient.
Tight Oil Field Development Challenges, Lessons Learnt and Successful Implementation of Selected Artificial Lift (SRP) Along with Operational & Digital Solutions: ABH Field, Rajasthan, India
Authors: Varma Nakul , Negi Avdesh , Kumar Manish , Chauhan Shailesh , Bohra Avinash , Kothiyal Manish
Published: February 2023

Aishwariya Barmer Hill (ABH) field area consists of a laminated high porosity (25-35%), low permeability (~1 mD) unit of 50-250 meters thick hydrocarbon bearing payzone. With the success of the first 6 pilot wells, it was decided to extend to the whole field with more than 44 horizontal wells. The horizontal wells are ~2300-2600 mMD long, lateral average length of 1000m and multistage hydraulic fracturing (10-17). These wells face numerous complications due to high gas-oil ratio, sand production, and corrosion tendencies because of high CO2 mole percent concentration (40-60%) in fluid. Further complications include downhole pumps setting at very high deviation (60-65 deg), rod failures-wear in high deviation wells, rod rotation due to deviation and gradual productivity declines due to sand deposition at lower side of downhole completion.

Due to low permeability and low mobility fluid nature, it was necessary to find efficient ways to enhance the overall hydrocarbon recovery factor of the field. Several sensitivities were performed, on the number of wells, number of hydraulic fractures, well design, artificial lift options, water, and gas injection. According to the sensitivities results, the best developed scenario envisages high number of multiple frac wells to increase the recovery factor. Based on the detailed evaluation of available artificial lift options, SRP was selected over Jet pumps as the most suitable artificial lift considering the requirement of large drawdowns & operating costs of lifts. The risk of gas issues was mitigated by keeping the tubing-production casing annulus vented and further alleviated by running suitable downhole gas separators. Other problems were analyzed, and multiple attempts of solution implementation were done.

This paper addresses an inhouse ways to tackle sand, high gas rate issues, along with rectifications &learning of other problems faced during the last 3 years of field operations, including digitalization projects for visualization of well behavior. This paper also addresses a few remarkable calculated parameters which are - actual production loss calculations whenever well is shut-in (considering wellbore column storage effects), calculated gas free liquid level pump submergence and pump intake pressure from pump load live data. The purpose of this paper is to describe technical & operational challenges along with lessons learnt/solutions implemented in last 3 years.
Sustainable Hydrocarbon Production Through ESP System Optimization in the Digital Era
Authors: Kalu-Ulu Torty C. , Khamees Saud A. , Flippin Cleavant J.
Published: February 2023

Sustaining hydrocarbon production using artificial lifting technology could be daunting to say the least. Over time, both surface and subsurface challenges associated to artificial lift applications and electric submersible pumping systems in particular, that impact hydrocarbon production make the system unappealing and uneconomical for field development. This paper attempts to review the challenges impacting ESP system optimization for sustainable hydrocarbon production in both brown and green fields during the current big data era.

The producing environment as well as the ESP components used in field development and production require continuous optimization across the ESP system spectrum. Analysis and diagnosis of the producing well completion is essential to achieving a better optimization and sustainability of the desired production target. A two-approach system optimization is preferred to address the challenges impacting sustainable hydrocarbon production in an ESP completed well. The approach enumerated in the paper relies on the innovative technological advancement of data capturing, segmentation, and integration brought about by the fourth industrial revolution.

The approach involves a top-to-bottom optimization in addition to real-time data integration. The increasing sophistication in ESP system platforms’, mobility, surveillance, connectivity, and storage technologies, joined with the ability to process and rapidly analyze data, improve agility, and support real-time on the spot automated decision making. These enhancements allow action execution to overcome the numerous challenges impacting production sustainability in ESP completed wells. This brings about increased and timely engagement between the equipment manufacturer, operator and the well. In addition, there is reduction in well downtime, increased uptime with overall resultant of sustained hydrocarbon production.

A comprehensive approach to artificial lift hydrocarbon production optimization in an ESP completed well using data interwoven connectivity is preferred as the best approach to reactivate, boost, and sustain hydrocarbon production in this era of digitalization.
O que as representações do cansaço materno podem informar sobre as crianças?
Authors: Lopes Ricardo Cortez
Published: February 2023

A interação com crianças sempre gera algum tipo de representação social sobre esse grupo. Um tópico de interesse seria a questão do cansaço causado em seus cuidadores, em especial às mães, de modo que estudamos qualitativamente comentários em redes sociais e blogs a respeito desse cansaço, apresentando algumas interpretações (lidas por meio da teoria das representações sociais) sobre a justeza desse cansaço diante das representações sociais sobre criança. Essa diversidade de ideias foi captada através de comentários em páginas da internet referentes ao cansaço materno, e os resultados apontaram para 4 representações: Resiliente, Sisífica, Narcisista e Libertista.
Olhares sobre os direitos das infâncias e juventudes a partir da cidade de Novo Hamburgo, Rio Grande do Sul
Authors: Mello Bárbara Birk de , Kuhn Junior Norberto , Nunes Margarete Fagundes
Published: February 2023

Este artigo tem como tema os direitos das infâncias e juventudes brasileiras no contexto da redemocratização e promulgação do Estatuto da Criança e do Adolescente (ECA) em 1990, o qual, dentre outras questões, aponta para a criação de um conselho tutelar em cada cidade do Brasil. Partimos das seguintes perguntas: como se deu o processo de criação do Conselho Tutelar de Novo Hamburgo no início dos anos 1990? E como este influenciou na busca pelos direitos infantojuvenis do município? Os objetivos são, abordar, brevemente, o ECA, analisar o processo de implementação do Conselho Tutelar de Novo Hamburgo e atentar para como esta instituição atuou para a garantia dos direitos infantojuvenis durante sua primeira gestão (1992-1995). Partimos de uma revisão narrativa da bibliografia acerca das temáticas aqui tratadas, da análise de entrevistas não-diretivas com conselheiras tutelares do período e da análise de ofícios e livros de atas do Conselho. Ao final do texto, apontamos para a importância da criação dos conselhos tutelares, espaços que se tornaram referência na proteção dos direitos infantojuvenis e que são a “ponta do atendimento” a estes sujeitos. Porém, o processo de instauração do Conselho de Novo Hamburgo foi cercado de tensões envolvendo prefeitura, entidades de atendimento infantojuvenil e comunidade. Até hoje são latentes as disputas em torno dos direitos das infâncias e juventudes.
Famílias confinadas, infâncias desprotegidas
Authors: Lima Mirella Cavalcante Vilar , Uchôa Raquel de Aragão Fernandes
Published: February 2023

Diante do cenário de pandemia fica evidenciado a importância de sistemas de proteção social em todo o mundo. No Brasil a pandemia da Covid19, associada a um processo em curso de desmonte das políticas públicas, intensifica muitos dos desafios a serem enfrentados, principalmente, no que se refere às proteções das infâncias e adolescências e suas famílias, com destaque para aquelas pobres, pretas e periféricas. Este artigo se volta para a análise sobre os efeitos do confinamento social vivenciado e de ainda difícil mensuração, sobre a capacidade protetiva das famílias brasileiras em relação as suas crianças e adolescentes, bem como sobre os aspectos conjunturais da ascensão e acirramento das pautas conservadoras e neoliberais sob a égide do Governo Bolsonaro. Os apontamentos derivam de reflexões estabelecidas no contexto do Curso de Especialização em Direitos da Criança e do Adolescente, ofertado pela Universidade Federal Rural de Pernambuco, através da Escola de Conselhos de Pernambuco. A reflexão aqui proposta se volta para os desafios do tempo presente, os contornos de uma relação familista entre o Estado e sociedade ao longo da história e perspectivas para o futuro em relação ao trabalho de proteção das infâncias em um país sob efeitos de diversas crises, sejam as da história do tempo presente, sejam as delineadas e cristalizadas ao longo da formação social do Brasil, com recorte mais específico para os efeitos da pandemia, ainda em curso, da Covid19.
Corn Starch in Pharmaceuticals Isolation, Characterization, and Applications
Authors: Kurniawansyah Insan S. . , Sopyan Iyan . , Budiman Arif .
Published: February 2023

>MOvergrowth of Candida tends to produce high levels of secondary metabolites affecting the immersion of infectious and degenerative diseases. Biofilm’s existence as a virulence factor of Candida makes it challenging to overcome causing multidrugresistant issues. Studies on the effectiveness of Candida antibiofilm drug candidates should be supported by data related to model structure and molecular interaction within the eradication process of biofilm through homology modeling and in-silico docking. This study aims to determine molecular interactions between 1,3-β-glucanase Achatina fulica in which the substrate is, through homology modeling and docking studies within the biofilm matrix eradication process. The alignment results show that mkafGlu1 is a new representative of the Glycoside Hydrolase 16 family (GH16) with EC 3.2.1.39. MKAFGlu1 enzymes are 1,3-1,6-β-glucanase able to cleave 1,3-β- dan 1,6-β-glycosidic bonds. This in-silico docking study also shows that mkafGlu1 has high specificity towards laminarin (substrate 1,3-1,6-β-glucanase) and that the enzyme of MKAFGlu1 works based on a retention mechanism in its reaction to the substrate. The result of the recombinant enzyme of 1,3-β-glucanase novel genes can hydrolyze the substrate of 1,3-β-glucan as one of the biofilm matrix components, opening up an opportunity for new medicine as an antibiofilm candidate.
Development and Validation of UV-spectroscopic Technique for Simultaneous Estimation of Canagliflozin and Metformin Hydrochloride in Synthetic Mixture
Authors: Pathak Shilpi .
Published: February 2023

>Metformin and Canagliflozin are both anti-diabetic solid drugs. They reported harmonious action when delivered in combination. This research article established a cheap correct, rugged, and sensitive method to simultaneously estimate Canagliflozin and Metformin. The drug Canagliflozin and Metformin have absorption maxima at 290 nm and 232 nm, respectively. Canagliflozin and metformin in the developed method indicated calibration curve plot in the range of 8 to 12 μg/mL and 40 to 60 μg/mL having regression values of 0.997 and 0.988, respectively. The accuracy reading results data presented recovery of the standard drug in the range of 98–102% with a standard deviation of less than 2. Intra-day and inter-day reading effects were also obtained in the standard limits, presenting the precision of the procedure. Therefore, it could be concluded that the established technique was correct, precise, and exact with sufficient sensitivity and effectively understood for the simultaneous estimation of Canagliflozin and Metformin in their combined dosage during the routine study work.
Removal of Pollutants from Aqueous Solutions by using Zinc oxide Nanoparticles
Authors: Bedano Noor Q. . , Alkaim Ayad F. .
Published: February 2023

>This work presents a low-cost method to produce Zinc oxide (ZnO) nanostructured materials for the treatment of water polluted with model organic pollutants (e.g., brilliant green dye). Zinc oxide was prepared using the thermal solvent technique at a temperature of 37°C, at pH 6, and the samples were incinerated for one hour at a temperature of (500°C). Also, silver doped ZnO (Ag-ZnO) was prepared by photo deposition using ultraviolet rays. The photodissociation of Brilliant green dye was studied using ultraviolet rays under different conditions in the presence of Ag-ZnO, studying the effect of some factors, such as the effect of dye concentration and intensity of incident light. The results showed that the smashing efficiency of the zinc oxide surface increased by 92.8% after adding silver. It also showed that the photocatalytic breakdown rate increases with decreasing concentration of Brilliant green dye. Increasing the intensity of the light led to an increase in the rate of photocatalytic breakdown.
Simultaneous Estimation of Netarsudil and Latanoprost by Stability Indicating RP-HPLC-Pda in Pure Binary Blend and their Ophthalmic Solution
Authors: Kunala Anusha . , Gummadi Sowjanya .
Published: February 2023

>A trouble-free, easy, specific, and extremely sensitive HPLC method was established for concurrent estimation of netarsudil and latanoprost in pure bulk and their combined ophthalmic solution. A good separation was achieved by using kromosil C18 (250 x 4.6 mm, 5μ,100 Ao) column, a mobile portion of Acetonitrile: buffer (0.1N KH2PO4) (50:50 v/v) with isocratic elution, a flow rate of 1-mL/min and detection wavelength of 220 nm. The drug substance was exposed to an intense stress environment like hydrolysis with acid and base, peroxide oxidation, and thermal degradation as per ICH provisions to evaluate the stability of the analytes. The netarsudil and latanoprost were eluted at 2.53 and 3.51 mintues, respectively. The anticipated method shows the linear response from 2.5 to 15 ppm and 0.625 to 3.75 ppm for netarsudil and latanoprost, respectively. The limit of detection (LoD), limit of quantitation (LoQ) were calculated as 0.023 and 0.07 ppm for netarsudil, 0.007 ppm, and 0.022 ppm latanoprost, respectively. The degradants formed by forced degradation studies were well resolved from netarsudil and latanoprost peaks. The method was extremely sensitive, accurate, economical, and stability indicating. Hence, the method has a high capacity to be used in the pharmaceutical industry for analysis of netarsudil and latanoprost in the quality control department.
A Validated Reversed-phase High-performance Liquid Chromatography Analytical Method for the Analysis of Methylcobalamin in Bulk Drugs and T-Dosage Formulation
Authors: AD Pimpale . , AM Pethe . , RB Kakde . , IR Kakde .
Published: February 2023

>The aim of the existing work is to develop and validate a reversed-phase high-performance liquid chromatography (RP-HPLC) technique for the quantitative determination of methylcobalamin in bulk and t formulations that is easy, rapid, precise, accurate, affordable, and sensitive. Proceeding a princeton (C18) column with dimensions (250 x 4.6 mm, 5 μ), the isocratic elution technique was used. The mobile buffer phase comprised water (pH 6.5, adjusted with sodium chloride) and methanol in the relation (55:45) v/v. It was shown that the methylcobalamin retention time was 2.022 minutes under ideal circumstances. The correlation coefficient (r2) for the 900–2400 mcg/mL methylcobalamin concentration range, which was used to verify the method’s linearity, was 0.9994. Methylcobalamin had a recovery rate of 99.98–100.01% and RSD of 2%. The marketed t formulation test was successfully completed with 99.86%. The proposed and validated approach underwent the accuracy, precision, specificity, linearity, and system suitability testing advised by the ICH. RP-HPLC was used in the market formulation.
Peran Religiositas dalam Meningkatkan Resiliensi Penyintas Covid-19
Authors: Chasanah Uswatun , Wijaya Hariz Enggar
Published: February 2023

Resiliensi sangat penting dalam mengatasi beragam kesulitan hidup, termasuk dalam hal ini adalah pandemi Covid-19. Bagi individu yang terinfeksi virus ini, resiliensi akan memudahkan perjuangan untuk bertahan hidup. Individu yang selamat dari infeksi Covid-19 juga berusaha untuk tetap aman dan sehat di era pasca-COVID. Studi ini mengkaji hubungan antara religiositas dan resiliensi pada penyintas Covid-19. Sebanyak 208 peserta dewasa muda mengikuti penelitian ini dengan mengisi survei daring tentang religiositas dan resiliensi. Partisipan terdiri atas 59 laki-laki dan 149 perempuan dengan rentang usia 18-25 tahun. Hasil analisis data menunjukkan bahwa religiositas dan resiliensi berkorelasi secara signifikan dan positif pada penyintas Covid-19. Hasil ini menguatkan peran religiositas sebagai faktor promotif dalam meningkatkan resiliensi individu.
Peranan Regulasi Emosi Terhadap Subjective Well Being pada Santri di Sidoarjo
Authors: Mariyati Lely Ika , Partontari Ramon Ananda , Kusuma Mahestining Kaluni Indah
Published: February 2023

Berdasarkan fenomena yang terjadi pada pondok pesantren yang ada di Sidoarjo terdapat beberapa santri yang memiliki permasalahan dengan subjective well being khususnya pada aspek afeksi yaitu emosi negatif. Hal ini terkait dengan kemampuan adaptasi santri terhadap perubahan tuntutan di lingkungan rumah sendiri dengan pondok pesantren sehingga menimbulkan perasaan tertekan serta sedih dengan keadaan yang dialaminya saat di pondok pesantren. Permasalahan lainya juga terjadi konflik dengan sesama santri yang memunculkan perasaan sedih dan atau marah. Artinya tujuan penelitian ini untuk mengetahui pengaruh regulasi emosi sebagai variabel “X” terhadap subjective well being sebagai variabel “Y” pada santri pondok pesantren di Sidoarjo. Penelitian ini merupakan penelitian kuantitatif dengan Teknik sampling proportional stratified random sampling. Subjek penelitian ini berjumlah 123 santri yang berusia 13 – 15 tahun atau setara dengan siswa Sekolah Menengah Pertama di semua jentang/tingkatan kelas dari jumlah populasi sebanyak 190 santri. Pengambilan data menggunakan model skala Likert pada variabel regulasi emosi memiliki validitas yang bergerak dari 0,301 hingga 0,571 dengan nilai reliabilitas Alpha (a) 0,799 dan variabel subjective well being memiliki nilai validitas bergerak dari 0,307 hingga 0,644 dengan nilai reliabilitas Alpha (a) 0,856. Metode analisis yang digunakan yaitu korelasi product moment dengan nilai kolerasi rxy = 0,471 dengan sig. 0,000 < 0,05. Artinya terdapat hubungan positif antara variabel regulasi emosi dengan subjective well being santri Pondok Pesantren di Sidoarjo. Sedangkan hasil uji regresi R-Square = 0,963 yang artinya pengaruh regulasi emosi terhadap subjective well being sebesar 96%.
Academic Grit di Madrasah Aliyah : Studi Kuantitatif dilakukan di Kota Palembang
Authors: Meyrinda Jesyia , Fakhriya Siti Dini
Published: February 2023

Penelitian ini bertujuan untuk menguji model teoretis pengaruh self compassion, social support berpengaruh terhadap academic  grit dengan academic motivation sebagai mediator. Serta ingin melihat apakah variabel self compassion, social supprot dan academic motivation memberikan pengaruh secara langsung terhadap academic grit.  Sampel penelitian ini berjumlah 250 siswa madrasah aliyah negeri kota Palembang. Analisis data yang dunakan dalam penelitian ini dengan menggunakan metode SEM (Structural Equation Modeling) untuk menguji validitas konstruk menggunakan MPLUS 0.7. Hasil hipotesis menunjukan bahwa model teoretis pengaruh Self-compasion, dan Social Support berpengaruh terhadap Academic Grit , dengan academic motivation “Extrinsic Motivation Support, Extrinsic Motivation Career, Instrinsic Motivation  ” sebagai mediator, diterima. Berdasarkan hasil dari uji hipotesis yang telah dilakukan, kesimpulan yang dapat diperoleh dari hasil penelitian ini ditemukan pengaruh tidak langsung (indirect effect) terhadap Academic Grit. Melalui metode path analysis, terdapat tiga model academic motivation yang fit dengan data. Dari tiga model yang memiliki pengaruh tidak langsung (indirect) yang signifikan terhadap Academic Grit.
Pengaruh Kontrol Sosial dan Konformitas Teman Sebaya Terhadap Perilaku Seksual Pranikah pada Remaja di Kecamatan Pati
Authors: Sari Fitriana Ayu Puspita , Wihartati Wening , Rochmawati Nikmah
Published: February 2023

Penelitian ini bertujuan untuk menguji secara empiris pengaruh kontrol sosial terhadap perilaku seksual pranikah, pengaruh konformitas teman sebaya terhadap perilaku seksual pranikah pada remaja dan pengaruh secara simultan kontrol sosial dan konformitas teman sebaya terhadap perilaku seksual pranikah. Penelitian ini menggunakan metode kuantitatif dengan jumlah sampel sebesar 379 remaja. Teknik pengambilan sampel menggunakan insidental sampling, dan untuk metode analisis menggunakan teknik analisis linear berganda. Hasil penelitian ini menunjukkan bahwa ada pengaruh kontrol sosial terhadap perilaku seksual pranikah pada remaja di kecamatan Pati, dengan nilai signifikansi sebesar 0,000 dan nilai koefisien regresi sebesar -0,371, ada pengaruh konformitas teman sebaya terhadap perilaku seksual pranikah pada remaja di kecamatan Pati dengan nilai signifikansi sebesar 0,000 dan nilai koefisien regresi sebesar 0,739, dan untuk pengaruh secara simultan menunjukkan bahwa ada pengaruh secara simultan kontrol sosial dan konformitas teman sebaya terhadap perilaku seksual pranikah pada remaja di kecamatan Pati, dengan nilai signifikansi sebesar 0,000 dan nilai koefisien regresi sebesar 0,247. Kesimpulan dari penelitian ini yakni semakin rendah tingkat kontrol sosial dan semakin tinggi tingkat konformitas teman sebaya maka semakin tinggi tingkat perilaku seksual pranikah, sebaliknya semakin tinggi tingkat kontrol sosial dan semakin rendah konformitas teman sebaya maka semakin rendah tingkat perilaku seksual pranikah.
Kontribusi Kebersyukuran dan Kebahagiaan Orang yang Bercerai di Kota Pekanbaru
Authors: Vitaloka Lola , Elfida Diana
Published: February 2023

Kebahagiaan adalah suatu keadaan ketika individu mampu mewujudkan fungsi psikologis yang dimiliki, yang meliputi lima dimensi yaitu, emosi positif, keterlibatan, relasi positif, pemaknaan, dan pencapaian. Mengalami perceraian merupakan kondisi yang dapat menurunkan kebahagiaan seseorang. Penelitian terdahulu memperlihatkan bahwa kebersyukuran merupakan salah satu faktor yang berperan penting dalam kebahagiaan seseorang. Penelitian ini bertujuan untuk mengetahui kontribusi kebersyukuran pada kebahagiaan pada orang yang bercerai. Subjek penelitian sebanyak 40 orang bercerai yang tinggal di Pekanbaru, yang diperoleh dengan cara accidental sampling. Pengambilan data menggunakan The PERMA-Profiler untuk mengukur kebahagiaan (α = 0,822) dan Islamic Gratitude Scale (IGS-10) untuk mengukur kebersyukuran (α = 0,879). Hasil analisis korelasi Product Moment menunjukkan koefisien korelasi sebesar 0,373 (p = 0,018). Hasil analisis regresi juga memperlihatkan kontribusi positif kebersyukuran pada kebahagiaan (R = 0,382; F = 6,130; p = 0,018). Demikian juga dua dimensi kebersyukuran, yaitu intrinsik dan ekstrinsik, menunjukkan hasil serupa. Dengan demikian hipotesis yang diajukan dalam penelitian ini diterima, yaitu kebersyukuran berkontribusi positif terhadap kebahagiaan pada orang yang bercerai. Artinya semakin tinggi kebersyukuran orang yang bercerai maka semakin tinggi kebahagiaan yang dimiliki oleh orang yang bercerai di kota Pekanbaru. Sumbangan kebersyukuran terhadap kebahagiaan sebesar 14,6%. Hasil penelitian ini menegaskan kembali peran kebersyukuran bagi terciptanya kondisi mental yang positif pada individu.
Adversity Quotient dengan Kecemasan dalam Menyelesaikan Skripsi pada Mahasiswa UIN Ar-Raniry Banda Aceh
Authors: Rasyidin Ulfah , Jasmadi Jasmadi , Yasa Rawdhah Binti
Published: February 2023

Salah satu penentu bagi individu agar dinyatakan berhasil menempuh pendidikan di perguruan tinggi adalah dengan menyelesaikan tugas akhir berupa skripsi. Namun dalam usaha mengerjakan skripsi mahasiswa sering dihadapkan dengan berbagai masalah, antara lain masalah kecemasan. Salah satu penyebab mahasiswa mengalami kecemasan dalam menyelesaikan skripsi adalah karena rendahnya daya juang yang dimiliki. Ukuran daya juang dalam istilah psikologi disebut dengan adversity quotient. Penelitian ini betujuan untuk mengetahui hubungan antara adversity quotient dengan kecemasan dalam menyelesaikan skripsi pada mahasiswa Universitas Islam Negeri Ar-Raniry. Jenis penelitian yang digunakan adalah penelitian korelasional dengan subjek yang diteliti sebanyak 313 mahasiswa. Hasil penelitian menunjukkan terdapat hubungan negatif yang signifikan antara adversity quotient dengan kecemasan dalam menyelesaikan skripsi pada mahasiswa Universitas Islam Negeri Ar-Raniry, dengan koefisien korelasi sebesar -0,629, dengan nilai p = 0,000 (p<0,05). Artinya, semakin tinggi adversity quotient, maka semakin rendah kecemasan dalam menyelesaikan skripsi pada mahasiswa Universitas Islam Negeri Ar-Raniry.
Kebahagiaan di Tempat Kerja pada Masa Pandemi Covid-19 di Indonesia
Authors: Khoerunnisa Elfrida , Fahmie Arief
Published: February 2023

Wabah Covid-19 di Indonesia menyebar begitu cepat sejak tahun 2020 dan menyebabkan adanya masa pandemi. Selama masa pandemi diberlakukan, banyak dari masyarakat yang belum bisa mencapai kebahagiaan di tempat kerjanya. Tujuan dilakukannya penelitian ini yaitu untuk menjelaskan mengenai tingkat kebahagiaan di tempat kerja bagi para pekerja selama masa pandemi Covid-19, faktor yang mempengaruhinya, dan bentuk intervensi yang dapat dilakukan pada masa pasca pandemi Covid-19 untuk mempertahankan dan meningkatkan perasaan bahagia di tempat kerja. Metode yang digunakan pada penelitian ini adalah literatur review. Dari hasil peneltian, ditunjukkan bawah terdapat sejumlah pekerja yang memiliki kebahagiaan di tempat kerja pada taraf rendah selama masa pandemi Covid-19. Mereka yang dapat mencapai perasaan bahagia di tempat kerja, dipengaruhi oleh beberapa hal, seperti lingkungan kerja yang baik, hubungan baik dengan rekan kerja, serta pengelolaan emosi dan suasana hati. Selain itu dapat juga disebabkan karena individu dapat menikmati pekerjaannya, adanya jaminan kesehatan dan keselamatan kerja, serta kebijakan dan protokol kesehatan yang jelas. Untuk bisa meningkatkan dan mempertahankan kebahagiaan di tempat kerja pada para pekerja, diberikan beberapa saran intervensi yang dapat dilakukan di masa pasca pandemi Covid, seperti intervensi, dengan pelatihan kebersyukuran dan problem-focused coping, serta outbound dengan seluruh pekerja.
Autonomous Learning Strategies for Academic Speaking by English Education Department Students
Authors: Wael Ahmad , Akib Muhaiminah , Hasanudin Hasanudin , Akib Rizal
Published: February 2023

Autonomous is the individual capacity to take responsibility for their own learning activities. Autonomous learning adapted learning method that learners use to obtain their own learning needs and goals, determine the most current learning method, and assess learning activity. This research aims at identifying students’ autonomous learning strategies in academic speaking class. There were 20 students from the English Education Department were involved to gather the data. This study employed a quantitative approach in order to get the data. The data were taken by using a questionnaire. The result shows that the general description of the students of the English Education Department at Universitas Muhammadiyah Sorong was not included a specific description of how the students employed the autonomous learning strategy for learning particularly in academic speaking. The researcher found two kinds of autonomous learning strategies which were metacognitive strategy and social mediation strategy.
Numerical Assessment of Jackup Spudcan Foundations by varying Angle of Spud in 3d Fem in Geotechnical Engineering
Authors: Parikh Arpit A. , Desai Atul K. , Gandhi Shailesh R. , Shroff Arvind V.
Published: February 2023

A jack-up structure is a bottom-mounted floating unit having an adjustable hull and movable legs. Particular jack-up structures are more susceptible to hazards under environmental loads during their operation and life cycle in the ocean. Authors attempted here to evaluate vertical load carrying capacity of soil and predicting its behaviour. Simulation of loaddeformation behavior under axial compression has been carried out for advancing research. The entire study has been carried out using three-dimensional finite element-based software Plaxis 3D A.E. 2017. The geometrical variation of substructure spud can have an inverted spud at the centre bottom from 1200 to 1800 studied for knowing behaviour under axial compression, axial tension and lateral forces. The simulated numerical model is used to develop empirical expressions for axial capacities estimation. The numerical analysis results indicate that spud can have an inverted angle of cone 1300 which is most beneficial under the static combined vertical, moment and horizontal loading (3D loading) in marine clay. The axial load carrying capacities in compression, tension and lateral loading follow the same sequence in ascending order from 1800,1750, 1500, 1300 and highest in 1200. Stiffness and undrained shear strength of soft clay contribute more than the diameter of the spud and embedment depth in compression and tension.
Geoinformatic approach to potential soil erosion risk assessment in Tulasi watershed
Authors: Pawar-Patil V.S. , Patil P.T. , Chougule V.A. , Panhalkar S.S. , Nikam B.R.
Published: February 2023

The disintegration of soil grains caused by raindrops initiates the erosion process and is the primary source of erosion on small and steep slopes. Soil loss occurs all across the world, but poor countries are more vulnerable to it due to failure to replenish lost soil and minerals. Asian countries have been highlighted as one of the locations on the globe where soil erosion has proven to be a difficult challenge in terms of development and land resource conservation. Because India is the world's second most populous country and agriculture is the backbone of the Indian economy, sustainable land management approaches are urgently needed to protect production potential and provide an adequate supply of healthy food for millions. The Tulasi watershed in Maharashtra, India, is distinguished by heavy rain during the monsoon season, undulating and rocky topography and bare hilltops, all of which increase runoff capacity and make top soil more prone to detachment and loosening. In light of this, the current study employs geo-information technologies and the RUSLE model to derive erosion factors such as rainfall erosivity, soil erodibility, slope length and steepness, land cover and management and to estimate the amount and spatial distribution of soil loss in the study area.
Role of Actinomycetes from different habitats as a potential source for the production of novel bioactive compounds: A Review
Authors: Kumari Aparana , Rao K. V. Bhaskara
Published: February 2023

These days, actinomycetes are a good source of producing bioactive compounds that are used for drug discovery with antibacterial, antifungal, antiviral, enzyme inhibition, anticancer and anti-protozoan potential for industrial or medical purposes. Lots of research have been conducted on marine actinomycetes for their potential activity. Extreme environmental sources are less explored for actinomycetes as a potential organism for bioactive compounds potentially because of the difficulties in laboratory handling conditions. Extreme natural habitats are one of the best sources of bioactive compounds produced from actinomycetes as the hot spring area is the origin of thermophilic bacteria as well as actinomycetes. Actinomycetes are observed as a powerhouse to be the bulk patent origin for the production of novel bioactive compounds. In recent years, bioactive compounds from actinomycetes are becoming very useful for new drug discovery and commercial purposes. Actinomycetes species are laborious to cultivate and the production of their desirable metabolites is insufficient in terms of cost and quantity. However, bioinformatics, nucleotide sequencing and metagenomics next-generation tools are continuously developing. The natural hot spring ecosystem can also allow the useful new origin of bioactive compounds diversity with innovative new actinomycetes species compared to the marine ecosystem. We need to focus on all new possible terrestrial ecosystems for discovering novel actinomycetes species to derive potential bioactive compounds from them.