bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Correlation of P16 Expression with Degree of Differentiation and Tumor Stage in Cervical Squamous Cell Carcinoma (CSCC)
Authors: Sari Nova Fenita , Nizar RZ , Asri Aswiyanti 
Published: November 2023

Background
Cervical squamous cell carcinoma (CSCC) represents 70-80% of all cervical cancer cases. This cancer ranks 4th most common death cause due to malignancy in women. Cervical SCC patients were found at an older age and were detected at an advanced stage. High risk human papillomavirus (HPV) infection is main cause of SCC. Protein cyclin-dependent kinase inhibitor 2A also called p16 is a well-known tumor suppressor protein involved in cell cycle regulation, senescence, apoptosis, cell invasion and angiogenesis. This p16 protein can be used as surrogate marker for HPV infection. From several previous studies, there were differences between p16 expression relationship with differentiation degree and cervical SCC tumor stage results. Relationship research between p16 expression and differentiation degree and tumor stage of cervical SCC patients has never been conducted in West Sumatra.

Methods
This research was retrospective observational cross-sectional study with 35 cervical SCC cases that have been diagnosed at Anatomical Pathology Laboratory, RSUP Dr. M. Djamil Padang period January 2018-December 2019. Samples were obtained by simple random sampling from paraffin blocks derived from tumor tissue. The histopathological slide was reassessed to assess differentiation degree and tumor stage data were obtained from the patient's medical record. p16 expression in tumor cells was seen by immunohistochemical examination. To determine the correlation, bivariate statistical analysis was performed using the chi-square test with significance p<0.05 level.

Results
p16 high expression was found in 22 cases, tended to be higher in degree of well differentiation (40.9%) and moderate differentiation (50.0%) and was higher at an advanced stage (90.9%). Statistically, there is no correlation between p16 expression and differentiation degree with p value=0.138. There was no correlation between p16 expression and tumor stage with p value=0.337.

Conclusions
This study concluded that p16 expression was not associated with differentiation degree and tumor stage in cervical SCC.
The importance of social and environmental responsibility in corporate environments: use of electric energy
Authors: Dias Anita Flaviana , Oliveira Vitória Aparecida de Lima , Santos Vitória Maria da Conceição , Buongermino Ana Carolina Corrêa Baracho dos Santos , Rosa Adriano Carlos Moraes 
Published: November 2023

Socio-environmental responsibility happens in the face of a commitment where companies discuss, agree and become responsible for adopting marketing postures based on ethics and righteousness. These become responsible, taking into account the social and environmental impacts that their decisions result in and the changes that this brings to the environment in which they are in. The purpose of this article is to expose a study on socio-environmental responsibility, presenting a business case as a supporting element. As a methodology, (mainly) exploratory, bibliographical, documentary and field research were adopted, as well as, for the real knowledge of a situation, a case study was used. As a result, we intended to understand the problem faced by a company in order to achieve some improvements with greater assertiveness, that is, to experience correct management situations in practice. This study showed that the search for possible improvements implies understanding both the cultural and structural elements (how the company and the people who make it up really work) and that conscious energy consumption is extremely important for a company considers itself sustainable and responsible.
Otaria Exercise for the Influence of 8-hydroxydeoxyguanosine (8-ohdg) in Postpartum Women
Authors: Januarsih Januarsih , Mallongi Anwar , Kristiana Efi , Rafidah Rafidah , Yuliastuti Erni , Darmayanti Darmayanti 
Published: November 2023

Objectives: If a woman is in a physiological post partum condition, there will be an increase in the production of free radicals in her body. This situation will be worse if the woman is undergoing pathological postpartum, the production of free radicals in her body will be even greater. This condition is known as "oxidative stress". Theoretical Framework: Doing Otaria exercise will affect the muscle's need for oxygen, which will increase, meaning it requires strong blood flow like the uterine muscles. By doing postpartum exercises, it will stimulate uterine contractions, so that uterine contractions will be better, the release of lochia will be smooth, which will affect the uterine involution process. Method: The design used in this research was Post Test Only Control Group Design or post test with experimental and control groups. The sample in this study was 20 respondents in the experimental group and 20 respondents in the control group. Results and conclusion: In postpartum mothers, there is an increase in lipid peroxidation products, especially 8-OhdG. The 8-OHdG is one of the product compounds of the lipid peroxide reaction which is also used as a marker of oxidative stress Implications of the research: Research implications: midwifery services, maternal and child health and the reduction of maternal and infant mortality rates are affected by this study. The potential for quality midwifery care in the postpartum period can benefit the health of mothers and their babies. This study allows for further research and collaboration in the future to further reduce maternal mortality in the post partum period.
Innovation E-Learning Affecting the Efficiency of Employee: A Case Study of Airports of Thailand Public Company Limited
Authors: Kiewkong Phrompatsorn , Saengnoree Amnuay , Deepijarn Samart , Vuthisopon Sujira 
Published: November 2023

Introduction: Human resource development from Innovation E-Learning is one of the important steps in Human Resource Management that affects the efficiency and success of modern organizations that are prone to high technological changes starting from the moment those employees come to work by orientation and must continue training and development continuously throughout the time. The current administration cannot therefore use the traditional methods that were used in the past but must be ready to accept changes from various factors and adjust to keep up with the situation at all times. Therefore, “Electronics Learning Innovation” is therefore a necessity of organizational management in the current era (Covid-19) and in the future in order for the organization to continue to be successful and produce effective personnel.

Objective: This dissertation aims 1) to examine the components of online learning efficiency 2) to explore the variables influencing the online learning efficiency of Airports of Thailand (AOT) employees.

Method: This is quantitative research. The sample is employees of Airports of Thailand Public Company Limited for 340 people through quota and simple random methods. The research tool is questionnaire and data are analyzed by descriptive and inferential statistics, confirmatory component analysis and SEM.

Results: E-learning Innovation and Human Resource management have direct influence on job satisfaction. Moreover, Innovative Electronic Learning and Personal Learning have direct influence on Performance Efficiency through the intermediate variable of Performance Satisfaction. According to the results of SEM, overall Innovative Electronic Learning has the highest influence on Performance Efficiency, followed by Performance Satisfaction, Human Resource Management and Personal Learning, respectively.

Conclusion: This research is a guideline for AOT to develop personnel's operational potential through learning with e-learning innovation. This research adds the value to the concept of E-learning, Innovative Electronic Learning, Human Resource Management, Personal Learning for airport companies.
Reinforce Human Resource Performance Through the Implementation of E-Government and Leadership in the Government Organization
Authors: Umiyati Sri 
Published: November 2023

Objective: This research aims to analyze the relationship between e-government variables and human resource performance and analyze the relationship between leadership and human resource performance in government organizations.
Method: This research method is quantitative research using surveys, research data was obtained by distributing online questionnaires via social media. The questionnaire was designed using a Likert scale of 1 to 7. The respondents for this research were 458 senior government office staff who were selected using a simple random sampling method. Research data was analyzed using structural equation modeling (SEM) partial least squares (PLS) with the SmartPLS 3.0 software tool. The research stages are the outer model test, namely the validity, reliability test and the inner model test, namely the significance test or hypothetical test. The hypothesis of this research is that there is a positive and significant influence between e-government on performance and there is a positive and significant influence between leadership and performance.
Results: Based on the results of analysis tests using structural equation modeling (SEM) partial least squares (PLS) with the SmartPLS 3.0 software tool, it was found that the relationship between e-government and performance resulted in a p value of less than 0.050 and a T value of greater than 1.96. The relationship between leadership and performance results in a p value of less than 0.050 and a T value of greater than 1.96.
Conclusion: The conclusion of this research is that there is a positive and significant influence between e-government on performance and there is a positive and significant influence between leadership and performance. E-government and leadership are important factors for improving the performance of human resources in government organizations.
The Role of The Actuary in Assessing Financial Risks: a Case Study of Iraqi Insurance Companies
Authors: Jarallah Seenaa Ahmed , Bougatef Khemaies 
Published: November 2023

Objective: This study aims to examine the role of actuaries in assessing financial risks in insurance companies, their roles in applying financial risk assessment methods, and the authority granted to them for comprehensive risk assessment. Indeed, some companies may impede actuaries from performing their duties effectively by limiting their authority, causing obstacles and inability to perform their duties. Thus, the main objective of this paper is to assess to what extent actuaries could manage financial risk in insurance companies in spite of all the challenges and difficulties that they face.

Methods: The study objectives are achieved by using data collected from a questionnaire distributed to employees of Iraqi insurance companies. A total of 165 forms were distributed, and 150 of them were retrieved and validated for statistical analysis.

Results: The findings reveal a strong positive association between actuary’s dimensions and the dimensions of the financial risk assessment. This relationship reduces investment risks and enhances pricing and estimation processes.

Conclusion: The positive association between all the actuary’s dimensions and the dimensions of the financial risk assessment highlights the active and essential role of actuaries in assessing both internal and external risks.
Selecting Hydraulic Fracturing Method for Wells Landed in Deep and Tight Gas Reservoirs
Authors: Xia K. , Mahood T. , Hassani S. 
Published: November 2023

Abstract
Many deep and tight gas reservoirs require hydraulic fracturing treatment to boost production, even though they are naturally fractured to some extent. In the oil and gas industry, different fracturing methods are generally used, which are named cased hole/clustered-perforation fracturing and openhole multistage stimulation methods. In practice, how to select the right fracturing method for a well landed in deep and tight reservoirs has rarely been discussed. Both fracturing methods can fail for deep and tight reservoirs, which leads to poor production performance. To solve this issue, a novel geomechanics workflow and some criteria are presented that can be used to select the right fracturing method for wells landed in deep and tight reservoirs. The key components of the novel geomechanics workflow will be briefly introduced, such as natural fractures prediction, a framework for calculating the breakdown pressure envelope and optimal perforation direction, 3D modeling of hydraulic fracture-natural fracture interaction, and fully coupled poroelastic model for openhole multistage fluid injection. The interactions between discrete natural fractures (NF) and propagating hydraulic fractures (HF) will be investigated through some modeling studies, which can exhibit the possible impact of natural fractures on hydraulic fractures propagation. Both advantages and disadvantages of the natural fractures’ role can be objectively visualized based on the resultant fracture network. Some guidelines for both openhole MSF (multistage fracturing) and cased hole perforation hydraulic fracturing treatment are also given in this paper.
Optimization of Hydraulic Stimulation Treatments of Tight Sandstone Gas Reservoirs in Oman with Geomechanical Sensitivity Analysis Using Analytical Simulation Techniques; A Case Study
Authors: Alyaaribi Aflah , Aamri Mohammed , Azim Mohamed Abdel , Hinai Khalid , Al-Ghaithi Ali 
Published: November 2023

Abstract
The development of Oman's tight gas accumulation is a multifaceted endeavor, characterized by the utilization of fractured vertical wells targeting a multitude of hydrocarbon units. Additionally, highly deviated to horizontal wells have been employed to access the most impermeable zones within these units. The intrinsic geomechanical, petrophysical, and lithological complexities within these tight units profoundly influence not only the distribution of fracture conductivity but also the efficiency of gas drainage from these fractured zones. This is evident through variations in mobility across the reservoir, ultimately impacting the collective gas production from all well architectures. To optimize hydraulic fracturing design and analysis, accurate predictions and calibration of formation breakdown pressure and minimum horizontal stress (Shmin) are imperative. Notably, it was observed that conventional mechanical earth models derived from sonic logs often fall short in realistically capturing the dynamic variations in minimum horizontal stress within these tight formations. Consequently, this study advocates the integration of diagnostic fracture injection tests (DFIT) within the same formation. These tests serve as a pivotal tool for the calibration of both breakdown pressure and minimum horizontal stress, ensuring a more precise and effective approach to tight gas accumulation development.
1D/3D Clustering Techniques of Geomechanical and Reservoir Properties to Overcome Stimulation Challenges
Authors: Hamid Osman , Alamer Sarah 
Published: November 2023

Abstract
Multi-stage hydraulic fracture in vertical and horizontal wells of extremely tight and unconventional reservoirs has become one of the main techniques to effectively create communication between the reservoir and the wellbore to enhance hydrocarbon flow; there is a need to integrate all available parameters to address the stimulation challenges. This study aims to construct fully integrated models to improve completion and stimulation operations using 1D/3D clustering techniques for all available properties.
1D/3D modeling approaches will be used to cluster geomechanical, geological, drilling, and reservoir parameters using Agglomerate Hierarchical clustering techniques that provide an innovative 1D/3D composite product that is used to overcome stimulation operational challenges. This approach provides strong guidelines and effective solutions for the formation fracability and injectivity-related issues facing completion and stimulation operations.
These techniques will increase confidence in stimulation modeling that provides clear guidance to develop strategies for completion and stimulation operations to maximize hydrocarbon production.
The results of 1D clustering techniques provide a composite log highlighted in the color code of the breakdown pressure and identify the best interval for stimulation and perforation operations. In contrast, the 3D clustering provides a stimulation index (SI), that enables users to identify the best sweet-spot interval within the study area, which improves stimulation requirements.
These models have been proven successful in the selection of the frac stages, yet they can be optimized for all other operations. This model opened the doors for long-term studies when coupled with the dynamic model.
Experimental Study on Indoor Multi-Cluster Fracturing Based on Distributed Fibre-Optical Monitoring
Authors: Wang Su , Chen Mian , Chang Zhi , Zhang Qixing , Lv Jiaxin , Cui Zhuang , Hou Bing 
Published: November 2023

Abstract
Hydraulic fracturing is an important stimulation technique for unconventional oil and gas fields, and real-time monitoring of fractures technology is crucial to evaluate the result of reservoir stimulation. This paper combines distributed sensing equipment based on OFDR with large-scale true triaxial fracturing physical simulation equipment. Then, the laboratory single-cluster and multiple-cluster hydraulic fracturing physical simulation experiments were carried out, while conducted real-time fracture monitoring using bare optical fibre. The experimental results indicate that the location and sequence of fractures initiation can be determined based on the strain evolution of the optical fibre. The general law of fracture propagation on fibre strain evolution can be obtained in single-cluster hydraulic fracturing experiments. In addition to determine the sequence and location of fractures initiation, multi-cluster experiments can also observe the mutual influence of different fractures, and the amount of liquid entering each fractures. These laboratory hydraulic fracturing experiments by distributed optical fibre sensing were conducted under true triaxial conditions, which can provide reference and guidance for on-site oilfield fracturing design.
Modeling Horseshoe Wells Performance in Unconventional Plays
Authors: Merzoug A. , Dehdouh A. , Ouadi H. , Alghawi Y. 
Published: November 2023

Abstract
The development of unconventional plays often presents unique challenges, such as drilling through overpressured zones with narrow mud windows. A prime example is the Inyan Kara formation in the Bakken, where operators have had to add additional casing to drill safely, incurring extra costs of approximately half a million dollars per well. In the Permian Basin, a different challenge arises due to lease constraints, which limit drilling to a square mile, resulting in horizontal wells with short laterals of 5,000 ft. To mitigate these issues, novel drilling techniques have been adopted, such as the U-shape well design first implemented by Shell in 2019. This design, featuring one vertical section and two laterals connected by a U-turn, has been increasingly utilized to reduce risks associated with drilling in shallow formations while allowing for extended lateral lengths of up to 12,000 ft. However, a comprehensive evaluation of the performance of these wells has been lacking in the literature. This study presents a numerical modeling analysis of U-shape wells, using a well-calibrated model of the Bakken formation. The model, built on a fully coupled physics-based simulator, incorporates reservoir, fractures, and wellbore data, enabling a nuanced understanding of multiphase flow and pressure losses. The study compares the performance of U-shape wells with conventional wells in unconventional plays over a 30-year period, considering total oil production. The results indicate that U-shape wells, on average, have longer fracture lengths towards unstimulated regions compared to two horizontal wells, due to the dissipation of stress shadow when moving from heel to toe. This effect enhances the performance of U-shape wells. Furthermore, when comparing two U-shape wells with four conventional wells, the performance was found to be similar. This study provides valuable insights into the potential of U-shape wells as a viable solution for drilling in unconventional plays.
Estimation of the Mechanical Parameters of a Mining Rock Mass Based on Resistivity Detection
Authors: Wang Chao , Li Hongze , Zhang Yujie , Feng Jili 
Published: November 2023

Abstract
In this paper, resistivity is employed to estimate the mechanical parameters of disturbed rock masses. The relation between resistivity and mechanical parameters is clarified by the damage variables based on resistivity and the interrelation among logging physical parameters. Such a relation is further mathematically expressed and verified by experiments and numerical simulations. To apply the proposed method for the stability evaluation of coal mine goaf sites, a calculation framework for the mechanical parameters of the mining rock mass is developed. Based on this framework, the in situ overburden mechanical parameters are obtained by resistivity detection, while the stability evaluation of abandoned goaf sites is performed together with FLAC3D. The results show that there is a reasonable relation between the mechanical parameters of the rock mass and resistivity, which is a linear negative relation between the mechanical parameters and the resistivity proportional coefficient. The goaf site is stable through both numerical results and in situ monitoring data. Additionally, it is demonstrated that the proposed method to calculate mechanical parameters by resistivity is of paramount significance to rock mass engineering.
Sensitivity Analysis of the Factors Affecting Formation Breakdown Pressure Using a Computational-Based Approach
Authors: Almani Tameem , Alquhaidan Yousef , Khan Khaqan 
Published: November 2023

Abstract
In hydraulic fracturing operations, formation breakdown pressure is the pressure at which the fracture initiates. This corresponds to the peak pressure at which the fracture opens as a result of injecting a drilling fluid at a very high pressure (Ito and Hayashi, 1991; Ito, 2008). An accurate estimation of this value remains an open problem due to several reasons, one of which is the dependance of this value on different underlying physical parameters. The criticality of this parameter stems from the fact that it drives how much horsepower is needed on site: overestimating it leads to expenditure loss and underestimating it lead to operation failure. In this work, we will perform a sensitivity analysis on the several factors affecting the formation breakdown pressure value. We will utilize the computational framework developed in (Almani et al. 2021 (1,2)) which computes the breakdown pressure as a function of all the underlying physical parameters including in situ stresses, drilling fluid related parameters, and rock mechanics parameters. The ultimate objective is to determine the significance of every input parameter on the corresponding breakdown pressure.