bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing EFL speaking in rural settings:
Authors: Ramos-Holguín Bertha , Aguirre Morales Jahir , Torres Cepeda Nancy María
Published: November 2023

There are several reasons why english language teachers may embark on the endeavor to develop teaching and learning materials for the EFL population in rural schools.  This book presents some of those reasons by means of illustrating the fluctuating challenges and opooortunities while developing contextualized materials to enhance the speaking skill in rural settings.  In the same way, it displays some theotetical constructs and results which emerged from an action research study that sought to analyze what the design and implementation of workshops, based on rural students' needs, revealed abut their speaking skill development.  Consequently, the authors suggest that using contextualized material increases students' possibilities to overcome personal weaknesses which may prevent them from communicating in the target language and manage some factors affecting second language learning.  Then, they conclude that developing contextualized material becomes meaningful and useful for the teaching and learning processes when it integrates humanizing perspectives.
Education in crises times: Lessons from an online practicum from the experiences of preservice early childhood teachers
Authors: AlWadaani Nada Zal
Published: November 2023

The world is witnessing increased crises affecting education worldwide, such as health and natural crises. Recently, the world was challenged by the appearance of the COVID-19 pandemic, which caused national and international closure. Thus, learning and teaching shifted quickly to online teaching and assessment. The impact of this sudden shift on preservice Early Childhood (EC) teachers' practicums still needs to be discovered, especially with the insufficient preparation for online learning. This study aimed to explore the experiences and listen to the voices of preservice EC teachers about online practicum. There is little known about how preservice teachers experienced online practicums. How did they feel about them? What are the advantages and disadvantages? Were there any challenges faced? Thus, the study objectives focused mainly on shedding light on preservice EC teachers' experiences and bringing their voices to the forefront. This qualitative research study focuses on three preservice EC teachers who were suddenly forced into online practicum. The results showed that, despite the advantages of online practicums, participants experienced a mix of negative feelings. A primary recommendation was made to draw the attention of education policymakers that teaching is a social practice and emphasized the importance of providing an interactive and engaging online learning environment.
Programa educativo para conocimiento y participación de padres de niños con autismo en una clínica de Piura, Perú
Authors: Alor Garcia Fresia Solange , Sánchez Casas Mirtha Felicia
Published: November 2023

Objetivo: Determinar la efectividad de un programa educativo para conocimiento y participación de padres de niños con autismo en una clínica de Piura durante el año 2022. Material y métodos: Enfoque cuantitativo, diseño cuasiexperimental de tipo pre y posprueba de un solo grupo, de corte longitudinal y prospectivo. Se utilizó una ficha sociodemográfica, un cuestionario para conocer el nivel de conocimientos que tienen los padres de niños con autismo sobre esta afección y una lista de observación para describir la participación de los padres en el tratamiento. Se utilizó la prueba signo-rango de Wilcoxon (1-cola), la prueba de McNemar y la g de Hedges. Resultados: La edad de los padres de familia osciló entre 20 y 38 años, dentro de los cuales el 80 % (n = 16) eran madres y el 20 % (n = 4) eran padres. Respecto al nivel de conocimiento, se encontró que los datos antes y después del programa no eran homogéneos (antes: Me = 13 vs. después: Me = 15), evidenciándose una diferencia estadística (p < 0,001); asimismo, se obtuvo un efecto muy significativo (g > 1,2). Respecto al nivel de participación, se observó diferencia positiva en el nivel adecuado de participación, encontrando significancia estadística (p < 0,05). Conclusiones: Los participantes obtuvieron mejores puntajes en la posprueba. En general, el programa educativo incrementó de manera significativa el nivel de conocimiento y la participación de los padres de niños con autismo. Con respecto a cada dimensión de las variables, se obtuvieron variaciones en los puntajes; sin embargo, solo se encontró diferencia estadística significativa en la dimensión de actividades de rehabilitación.
El uso del kinesiotaping en el enfoque de neurorrehabilitación para mejorar el desempeño ocupacional en un paciente postaccidente cerebrovascular
Authors: Jaramillo Rojas Cinthya Pamela , Calderón Gual Marco Antonio
Published: November 2023

Con el presente caso se busca incrementar la funcionalidad del miembro superior izquierdo durante el desempeño de actividades básicas de la vida diaria. El proceso de intervención en terapia ocupacional se basó en marcos y modelos propios de la profesión para el proceso de rehabilitación: marco del neurodesarrollo, método Brunnstrom y método Bobath. Adicionalmente, se incluyó el uso del kinesiotaping durante la realización de actividades funcionales para mejorar el desempeño en las actividades básicas de la vida diaria del paciente. Asimismo, se utilizaron evaluaciones para medir el progreso en el desempeño ocupacional del paciente: el índice de Barthel, escala de Lawton y Brody, Mini Mental State Examination de Folstein. Los estímulos propioceptivos y el uso del kinesiotaping contribuyeron en el proceso de rehabilitación, que evidenciaron un mejor desempeño ocupacional del paciente. El tratamiento de terapia ocupacional, usando los marcos y modelos con base en neurorrehabilitación, ofrece resultados favorables en la recuperación del movimiento voluntario en el paciente postaccidente cerebrovascular.
Rare diseases with temporomandibular joint manifestations: a systematic review
Authors: Shrivastava Mayank , Tian Gabriel , Ye Liang
Published: November 2023

Background: Rare diseases (RDs) are serious often chronic progressive diseases that affect a smaller number of individuals. RDs can manifest in any region of the body and have systemic effects that are detrimental to individual health. Although RDs are individually rare, there are various debilitating disorders arising from RDs. One of the disorders that have been shown to have a negative impact on the health of RD patients is temporomandibular disorders (TMD). There is a dearth of data on the rare diseases and potential manifestations of TMD. The objective of this systematic review is to provide an overview of rare diseases and temporomandibular joint (TMJ) manifestations.

Method: The criterion for analysis of a rare disease and temporomandibular manifestations was inclusion in the Orphanet Classification of Rare Diseases and/or the National Organization for Rare Disorders (NORD)/The Genetic and Rare Diseases (GARD) databases. Only rare diseases with TMJ manifestations were recorded.

Results: A total of 54 RDs with TMJ manifestations and different TMD diagnoses were recorded. There were thirty-five studies derived from the Pubmed search, and the Orphanet input had 19 results. Overall, 13 different types of TMJ manifestations and TMD diagnoses were recorded in rare diseases.

Conclusion: TMJ manifestations associated with rare diseases are not uncommon. Healthcare professionals can play an important role in diagnosing and managing the complexity of RDs with TMJ manifestations. A multidisciplinary approach to TMD patients with rare diseases is advisable.
Effect of Specific Probiotic Mixture on Coronavirus (FeCoV) Viral Load in 25 Naturally-Infected, Clinically Healthy, Purebred Birmanian Cats
Authors: Mangiaterra Sara , Cerquetella Matteo , Gavazza Alessandra , Turba Maria Elena , Berardi Sara , Biagini Lucia , Rossi Giacomo
Published: November 2023

Feline coronavirus (FeCoV) causes enteric disease in cat worldwide. In general, FeCoV infection is characterized by self- limiting gastroenteritis but not understood changes can give rise to mutants that lead to the development of feline infectious peritonitis (FIP). In cats, FeCoV replicates in the intestines and spreads by fecal-oral transmission and persists in multi-cats households by infec-tion and re-infection by the same or another viral strain. Although current evidence shows that probiotics have promise for enhancing health benefits protecting from viral infection, today there are no studies regarding the use of probiotics in reducing fecal emission of feline coronavirus in naturally infected cats. The aim of the present study was to evaluate the effect of specific mul-ti-strain probiotics on FeCoV viral load in 25 naturally-infected cats. The study population con-sisted of purebred Birmanian cats, of which 14 females and 11 males, aged from1 to 4 years, and positive for FeCov by Real-time PCR on fecal sample. Two microcaps of probiotic formulation containing billion bacteria were administered to all cat once a day for 60 consecutive days. After probiotic administration, clinical conditions and FeCov viral load was assessed by Real-time PCR on fecal samples. All animals did not present alteration in the clinical condition at T1 (after probiotic administration); seventeen out of 25 cats tested negative at the end of the study, while the remaining 8 cats tested positive at the end of the study. The results of the present study suggest that high concentrations of live probiotics supplementation are well-tolerated and may poten-tially reduce the fecal FeCoV viral load.
Enhanced Ransomware Identification via Feature Extraction with Class Feature Weighting
Authors: Wang Fang
Published: November 2023

Ransomware attacks have risen alarmingly, with encryption techniques becoming more complex. This paper introduces a novel detection model tailored for ransomware's distinctive characteristics. The Intel PIN tool extracts Windows API invocation sequences related to file operations. These sequences are used to construct n-grams, forming feature vectors enhanced by a new Class Feature Weighting (CFW) metric to improve malware detection. Preliminary results demonstrate elevated accuracy and precision versus existing methods. The major contributions are: (1) Introducing an innovative deep learning model for few-shot ransomware classification using entropy features and transfer learning. (2) Achieving high weighted F1-score in classifying ransomware variants into families with limited training data. (3) Demonstrating the potential of entropy-based features to capture intricacies lost in image-based approaches, improving detection of new strains.
Acid-Sensing Ion Channels Immunoreactivity in Nerve Profiles and Glomus Cells of the Human Carotid Body
Authors: Martínez-Barbero Graciela , García-Mesa Yolanda , Cobo Ramón , Cuendias Patricia , Martín-Biedma Benjamín , García-Suárez Olivia , Feito Jorge , Cobo Teresa , Vega José A.
Published: November 2023

The carotid body is a major peripheral chemoreceptor that senses changes in arterial blood oxygen, carbon dioxide, and pH, what is important for regulation of breathing and cardiovascular function. The mechanisms by which the carotid body senses O2 and CO2 are well known; conversely, the mechanisms by which it senses pH variations are almost unknown. Here we used immunohistochemistry to investigate how the human carotid body contributes to the detection acidosis analyzing whether it expresses acid-sensing ion channels (ASIC) ion channels, and to know if these channels are in the cells chemosensory glomic cells or in the afferent nerves. ASIC1, ASIC2 and ASIC3, and to a much lesser extent ASIC4, immunoreactivity was detected in subpopulations of type I glomus cells, as well as in the nerves of the carotid body. In addition, immunoreactivity was found for all ASIC subunits in neurons of the petrosal and superior cervical sympathetic ganglia, where afferent and efferent neurons are located, respectively, innervating the carotid body. This study reports for the fist time the occurrence of ASIC proteins in the human carotid body, demonstrating that they are present in glomus chemosensory cells (ASIC1 < ASIC2 > ASIC3 > ASIC4) and nerves, presumably both afferent an efferent supplying the organ. These results suggest that the detection of acidosis by the carotid body can be mediated by ASIC ion channels present in the type I glomus cells or directly by sensory nerve fibers.
Optimization of the Catalytic Activity of Ag@Cu2O Decorated on rGO for Organic Pollutant Degradation
Authors: Chen Lei , Guo Shuang , Park Eungyeong , Jung Young Mee
Published: November 2023

We successfully fabricated Ag@Cu2O core-shell decorated on reduced graphene oxide (rGO) nanocomposites (ACRN) by a simple and convenient in situ substitution method. The properties of these ACRN with heterostructure layers were characterized by scanning and transmission electron microscopies and absorption spectroscopy. We used p-nitrophenol (4-NP) as a probe molecule to determine the chemical catalytic activity of the ACRN. Upon introduction of rGO, a high electron transfer efficiency was achieved; thus, the catalytic activity was improved significantly. Therefore, the ACRN exhibited significantly improved catalytic activity for the reduction of 4-NP and showed the high application value in the removal of toxic and harmful substances from water. In addition, the fabricated ACRN was used for the reduction of organic dyes and explosive pollutants to generate nontoxic products. Furthermore, the high charge redistribution and transfer among Ag, Cu2O and rGO in the ACRN induced the high catalytic reduction of organic pollutants, indicating the excellent potential of these materials for applications in water pollution treatment.
Use of Union Funds in Developing Agricultural Entrepreneurship Between 2014 and 2020 in Poland
Authors: Wojcieszak-Zbierska Monika Małgorzata , Sadowski Arkadiusz
Published: November 2023

The purpose of this paper was to examine the differences in using agricultural entrepreneurship support and in how it relates to characteristics such as the agrarian structure, socioeconomic de-velopment level and land use across the Polish territory. The analyses were carried out at district (poviat) level which is an intermediate administrative unit. The study found that the decisions on co-financing the measures dedicated to non-agricultural economic activity heavily depend on the agrarian structure. The highest levels of activity were witnessed in districts where the agrar-ian structure is particularly fragmented.
A Deep Learning Method for Health State Prediction of Lithium Ion Battery Based on LUT-Memory and Quantization
Authors: Al-Meer Mohamed H.
Published: November 2023

Accurately estimating the State-of-Health (SOH) of lithium-ion batteries is of great importance within the field of battery management systems. Some new technique is now being developed to ensure the secure operation of lithium-ion batteries. The model being suggested in this study employs a deep learning framework that integrates discretized input data. This study utilized two distinct neural network architectures, including a standard fully connected neural network (FCNN) and a bidirectional long short-term memory (LSTM) architecture. The process of converting digitized feature values into binary bits enables the storing of inferred values within a Lookup Table (LUT-Memory). The efficiency and speed of the inference process are expected to improve when inferring a pre-trained deep neural network architecture directly. The primary objective of this study is to accurately build a lookup table that efficiently correlates the state of health (SOH) of lithium-ion batteries, while ensuring a tolerable degree of imprecision. The findings derived from the lithium-ion battery dataset provided by NASA PCoE provide evidence to support the claim that the suggested methodology exhibits similar performance to complete models that require inference during testing. The error assessment metrics, namely Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE), have been employed for quantitative analysis of the accuracy of status of health (SOH) prediction. The aforementioned indicators exhibit a notable level of precision in forecasting the State of Health (SOH).
Predicting the Purchase of Electricity Prices for Renewable Energy Sources Based on Polish Power Grids Data Using Deep Learning Models for Controlling Small Hybrid PV Microinstallations
Authors: Pikus Michał , Wąs Jarosław
Published: November 2023

In the quest for sustainable energy solutions, predicting electricity prices for renewable energy sources plays a pivotal role in efficient resource allocation and decision-making. This article presents a novel approach to forecasting electricity prices for renewable energy sources using deep learning models, leveraging historical data from the Power System Operator (PSE). The proposed methodology encompasses data collection, preprocessing, feature engineering, model selection, training, and evaluation. By harnessing the power of recurrent neural networks (RNNs) and other advanced deep learning architectures, the model captures intricate temporal relationships, weather patterns, and demand fluctuations that impact renewable energy prices. The study demonstrates the applicability of this approach through empirical analysis, showcasing its potential to enhance energy market predictions and aid in the transition to more sustainable energy systems. The outcomes underscore the importance of accurate renewable energy price predictions in fostering informed decision-making and facilitating the integration of renewable sources into the energy landscape. As governments worldwide prioritize renewable energy adoption, this research contributes to the arsenal of tools driving the evolution towards a cleaner and more resilient energy future.
An Explicit Form of Ramp Function
Authors: Venetis John Constantine
Published: November 2023

In this paper, an analytical form of Rump Function is presented. This seminal function
constitutes a fundamental concept of digital signal processing theory and is also involved in many
other areas of applied mathematics.
In particular, Rump Function is performed in a simple manner as the limit of a sequence of real
functions letting ? tend to infinity. This limit is zero for strictly negative values of the real variable ?
whereas it coincides with the independent variable ? for strictly positive values of the variable ?.
The novelty of this work compared to other research studies concerning analytical expressions of
the Ramp Function, is that the proposed formula is not exhibited in terms of miscellaneous special
functions, e.g. Gamma Function, Biexponential Function or any other special functions such as
Error Function, Hyperbolic Function, Orthogonal polynomials etc.
Hence, this formula may be much more practical, flexible and useful in the computational
procedures which are inserted into digital signal processing techniques and other engineering
practices.
‘Misdiagnosed and Misunderstood’: Insights into Rarer Forms of Dementia through a Stepwise Approach to Co-Constructed Research Poetry
Authors: Camic Paul M , Sullivan Mary Pat , Harding Emma , Gould Martha , Wilson Lawrence , Rossi-Harries Sam , Grillio Adetola , McKee-Jackson Roberta , Cox Susan M , Stott Joshua , Brotherhood Emilie V , Windle Gill , Crutch Sebastian J
Published: November 2023

This study investigated co-constructed research poetry as a way to understand the lived experiences of people affected by rarer dementia and as a means to use poetry to convey those experiences to healthcare professionals. Using mixed-methods, 71 people living with rarer dementia and care-partners (stakeholders) contributed to co-constructing 27 poems with professional poets; stakeholders’ verbatim words were analysed with descriptive qualitative analysis. Stakeholders were also surveyed and interviewed about their participation. Healthcare professionals (n = 93) were surveyed to elicit their responses to learning through poetry and its acceptability as a learning tool. Poems conveyed a shared narrative of different aspects of lived experience, often owing to atypical symptoms, misunderstandings by professionals, lack of support pathways, and a continuous struggle to adapt. Stakeholder surveys indicated it was a valuable experience to both co-create and respond to the poems, whilst group interviews revealed people’s experiences of the research poetry were characterised by reflection on lived experience, curiosity and exploration. Healthcare professionals’ responses reinforced the poetry’s capacity to stimulate cognitive and affective learning specific to rare dementia support and prompt both empathy and critical thinking in practice. As the largest poetry-based study that we are aware of, this novel accessible approach of creating group poems yielded substantial information about the experiences and needs of those affected by rarer dementia and how poetry can contribute to healthcare education and training.
Casing Pressure Dashboard: Centralized Casing Pressure Dashboard and Database Management
Authors: Gazizova Elima , Nadirov Maruan , Williams David , Gubashov Rustem , Sadyrbakiyev Renat
Published: November 2023

TCO is committed to safely operate wells that have casing pressure issues in one or more of their annuli. This requires proper casing pressure data management. TCO manages its operations to mitigate risks associated with casing pressure through diligent monitoring and problem diagnosis, appropriate remedial actions and operating within safe limits. This paper discusses the details of building a centralized casing pressure dashboard and database for proper casing pressure management, monitoring and troubleshooting.

Casing pressure control should be carried out throughout the life cycle of a well. It is important to have continuous monitoring, take timely troubleshooting actions, and provide the requested data to stakeholders and government agencies. Since casing pressure information was scattered between different files, databases, and software platforms, it was difficult to collect all the required data when needed. Manually entering and updating data in different sources of information was taking a significant amount of time and effort. The developed centralized database combines all sources of casing pressure information into a single platform to have data readily available for all users.

The development of the digital tool for casing pressure management made it possible to collect and combine all the existing data into one single database that became a single source of information for casing pressure. This tool has automated many processes such as the collection and updating of well casing pressure data, identification of the casing pressure type (sustained or thermal casing pressure), generation of reports, graphs, and diagnostic plots, displaying wells with casing pressure on the field map and storing historical data.

The digital tool enables engineers to visualize all the data in its dashboard, reduce human error and save man hours for data gathering, have reports and casing pressure readily available for stakeholders and government agencies, comply with casing pressure integrity requirements, and ensure the safe and stable production process of wells.

This paper provides an overview of the developed centralized tool that contains all the casing pressure related information. It also aims to share the best practices to keep the casing pressure issues under control and maintain safe and reliable operation of wells with casing pressure to avoid any integrity related issues.
Korolev Large Scale Pilot Project Overview
Authors: Suieshova Alina , Seitmaganbetov Nurzhan , Temirkhan Dauren , Kurbanbayev Nurbolat , Shugayev Nurbol , Sadyrbakiyev Renat , Dagistanova Kymbat , Darmentayev Sabyrzhan , Nurmukhanbetov Arman , Bekishev Assylzhan
Published: November 2023

Korolev Large Scale Pilot (KLSP) Project is a part of the Improved Oil Recovery (IOR) project intended to gather operational and subsurface learnings to improve understanding of Korolev reservoir response to water injection and incremental waterflood recovery potential. The main objective of this paper is to share facilities design, waterflooding monitoring techniques and operational lessons learned and best practices.

The process for the waterflooding evaluation includes nested pilot projects which provide key information to make the decision whether to stop or proceed with the project using the data as input for well completions and facility designs. The large-scale pilot equipment set consists of 3 water source wells, a pumping station and 2 water injection wells.

One of the main goals of KLSP is to allow surveillance data gathering to evaluate the pilot efficiency, to improve potential full field waterflood design, and to decrease the uncertainty of existing hydrodynamic models for the optimization of asset development strategies in the future.

The existing surveillance plan includes fall-off tests at the injection wells, water source well sampling for water compositional analysis, injection logging tests for the estimation of zonal injection allocation, pulse test program between production and injection wells for the reservoir connectivity assessment, step-rate tests for injectivity evaluation and continuous reservoir pressure trend monitoring via permanent/temporary pressure gauges installed at Korolev production wells.

A comprehensive water breakthrough monitoring strategy has been put in place, which includes tracer injection, water wash index analysis, robust wellhead sampling plan and daily offset production well water-cut measurements through the multiphase flowmeter.

An early water breakthrough response plan has been developed for the cases of a sudden increase in water-cuts at the offset wells. The plan accounts for both KLSP's needs for data collection and the plant water production constraints.

This paper gives an overview of the KLSP IOR project's operations challenges, reservoir uncertainties and surveillance operations, while also sharing facilities design, waterflooding monitoring techniques and overall design approach of the pilot waterflooding in Korolev field.
About Control the Operation of Gas Lift Wells - Analysis and Processing of the Initial Information Data Set
Authors: Mammadov R. M. , Mammadov A. V. , Sultanova A. V.
Published: November 2023

The main issue in improving the efficiency of oil production is the rational regulation of well operation modes. At the same time, a distinctive feature of the gas-lift method of operation is the maximum possible energy saving, which is achieved primarily by reducing the specific consumption of the compressed working agent (Mirzajanzade A.Kh., Shakhverdiev A.Kh., 1997).

A lot of work has been devoted to the development of measures aimed at reducing energy intensity indicators. Most of these studies are based on the construction of characteristic curves individually for each well. However, the operating modes of gas-lift wells are constantly dependent on the hydrodynamic state of the reservoirs, the mutual influence of wells along the reservoir and external communication lines, on the state of the bottomhole zone and tubing, etc (Bakhtizin R.N., Khasanov M.M., Efendieva N.N, 1993).

The noted factors lead to the fact that the assigned operating modes according to the characteristic are unstable and can be valid only for a short period of time, which makes such an approach to assigning modes unprofitable.
The Entropy Analysis of Changes in the Distribution of the Formation Fluid Filtration Characteristics for Oilfield Development Management
Authors: Suleimanov B. A. , Huseynova N. I.
Published: November 2023

Nowadays it is difficult to imagine control over the development of oilfields and increase of reservoir stimulation measures efficiency without the use of digital technologies. Availability of regularly updated database, digitalization of oil production facilities localization, developed data processing information technologies make it possible to create an online monitoring system under consideration objects work. Using digital algorithms makes it possible to monitor in real time all the information about the research object and the activities carried out current state, to assess their effectiveness, timeliness and compliance with standards, and to find reserves for improvement. Timely information about the need to carry out some actions is one of the most important elements of such a system, because it allows to carry out the process of oil production regulation in accordance with the set goals.

The approach proposed in this article allows to promptly assess, using standard measured current well productivity data, the current distribution of hydrodynamic indicators along the strike in the pilot zone at any time. Comparative analysis of the distribution of indicators before and after the impact on the reservoir using the proposed method allows to increase the reliability of information about the current state of the reservoir system in the interwell space and to assess the effectiveness of the measures taken.
A Unique Methodology and Successful Implementation While Testing Exploratory Well in Bahrah Field with Several Challenges: A Case Study in North Kuwait
Authors: Alotaibi F. Z. , Al-Ibrahim A. , Ibrahim A. , Binsafar A. , Alkhulaifi O.
Published: November 2023

Objectives/Scope

This paper presents a unique successful application and implementation of testing procedures in an exploratory cretaceous well in Bahrah field (North Kuwait). Used to evaluate productivity and characteristics of a reservoir and clearly understand the reservoir's potential, which helps in reducing the risks related to developing the field for a long-term with sustainable production, and selecting the optimum completion and artificial lift method.

Methods, Procedures, Process

The exploratory vertical well BH-X drilled to explore the hydrocarbon potential within the Northern Area of the Bahrah field targeting cretaceous Sandstone formation, with a total drilling depth 10,780 ft. Open-hole logs and collected WL open-hole fluid sample post drilling proved the oil bearing in the sandstone formation. The cement bond evaluation behind slim casing liner showed some doubt in quality in particularly cement image of ultrasonic tool. Decision was taken to proceed with testing without cement remediation, and perform a DST with down-hole real-time pressure gauges. The Formation interval was perforated using dynamic underbalance casing guns post displacing the completion fluid in hole OBM with filtrated brine. The Nitrogen (N2) lifting through Coiled tubing (CT) was used for well activation and to evaluate the well productivity on rig since the well ceased to flow naturally. Since these pressure events and analysis are crucial in making decisions in a low cost environment, It was decided to retrieve the downhole pressure data for preliminary Pressure Transient Analysis (PTA), which indicated that the formation skin was positive. Therefore, acid wash was performed to the sensitive sandstone formation to enhance the production rate.

Results, Observations, Conclusions

However, the results post the acid wash treatment showed increment in water cut. RIH with Water-Flow Log (WFL) to check the water source and identified channels behind pipe was challenging due to unavailability of E-coiled tubing. Thus, a unique solution was used to achieve a drawdown and dynamic condition while recording conventional WFL against the testing zone by using N2 and utilizing the DST tools functions. WFL results indicated the source of water behind casing above the test interval. Therefore, a cement squeeze job was performed and cement bond log was recorded again post the remedial job, which confirmed a good improvement in cement bond. The targeted interval was re-perforated utilizing dynamic underbalance perforation with STIM guns, the well was activated by CT using N2 lifting and showed clear improvement in production with zero water cut.

Novel/Additive Information

Overall, a unique methodology while using real time data has delivered better decision making and operational capabilities during rig and testing operations, which assists in reducing well testing operations cost and time.
Graphical 3D Detailing of the Bottomhole Part of the Well with the Identification of Drainage Zones within of Productive Interval
Authors: Hasanov A. B. , Abbasov E. Y. , Mammadova D. N.
Published: November 2023

Objectives

The article describes a method of detailing the bottom hole part of the well with the identification of drainage zones and subsequent graphical 3D modeling of the pore structure of the productive interval.

Procedures

A geological and geophysical section of the productive horizon of an oil well was chosen as a natural polygon, for which well logging data and microcomputer tomography of the core are available. Thus, according to well logging data, it was proved that the studied productive part of the section is characterized by a high degree of heterogeneity. At the same time, tomography studies of a full-sized core from the same area made it possible to identify four lithology types of rocks with different features of the pore structure.

Conclusions

The forecasting technique wasconducted based on the possibilities of 3D modeling (simulation) with a color display of the porosity values within borehole walls. A distinctive feature of this approach is the use of the method of expanding the array of initial data by adding intermediate calculated values. The visualization of the final geological model of the porosity of the well walls is provided by a color 3D image of an enlarged data array, which makes it possible to judge the presence of areas with good or weak fluid flooding in the well walls.

Novel

According to obtained final model, transverse and longitudinal fluid-conducting "corridors" are determined in the near-wellbore zone, favorable for hydrodynamic movements of natural and artificial fluids.
Application of Ultra-High Speed Rotating Shoes Offshore Indonesia - A Case History
Authors: Nkwocha C. , Hermawan A. , Fauzan A. Z. , Ardhiansyah F. , Mahadhir S.
Published: November 2023

This paper presents two recent cases studies for high-speed rotating shoes in the East Java Sea of Indonesia where extended reach wells have been successfully drilled and completed. Rotating shoes have been used to successfully deploy 5½ inch lower completion strings in Well A, Well B, and Well C, in 2020, 2022, and 2023 respectively.

Well A had the 9⅝ inch casing shoe at 15,492 feet MD with the final depth of 16,480 feet MD. Well B is currently the longest 8½ inch production lateral drilled (6,207 feet) in Indonesia at the time of this paper with a final well depth of 15,685 feet MD. The 9⅝ inch production casing shoe was set at 9,478 feet MD. Well C was eventually completed at a final depth of 14,305 feet MD with 9⅝ inch casing shoe at 10,662 feet MD. All laterals were drilled as 8½ holes and completed as 5½ inch oil producers.

In Well A, a rotating shoe was used as a contingency due to its high ERD ratio in comparison to previous wells drilled in the field up until that time. In Well B string rotation was not a feasible option due to well profile and the 5½ inch completions string configuration, hence the need for rotating shoes. In Well C well bore stability issues across zones prone to loss circulation resulted in multiple sidetracks from the primary borehole, one of which was carried in the production section, thus predicating the use of a rotating reamer shoe for the 5½ lower completion. Well C was eventually completed with the third sidetrack, at a final depth of 14,305 feet MD with the 9⅝ inch production casing shoe set at 10,662 feet MD. The liner hanger was successfully set with an estimated savings over $700K for successfully deploying the lower completions Well C as estimated cost of an additional clean-out run.

One reason running lower completions in these wells are successful is the use of high-speed rotating shoes. When required the rotating shoe was able to ream through obstructions while guiding the completion string into and through the drilled hole to TD. Rotating shoes are still very new to the industry and adoption is slow. However, from our experience it is evident that deployment requires appreciation of the technology and the underlying principles that make it effective, thus creating an enabling environment for proper application is paramount. This requires collaboration between end-user and supplier with good understanding of well engineering principles because the service provider will be key to a successful operation.

This paper focuses on the completion operations leading to the successful deployment of the 5½ inch lower completion strings in both Wells B and C.
A Sustainable Solution for Preventing Sustained Casing Pressure: A Gas-Tight Metal to Metal Seal
Authors: Al Marhoon Z. A. , Alsharaawi A. O. , Carragher P. , Dearmon J.
Published: November 2023

The engineering of an extremely unique metal alloy can avail solutions for downhole sustained casing pressure which is a common well integrity concern. SCP pressure takes place when pressure communication from the reservoir reaches to surface. This happens due to cement channeling or casing-cement micro-annulus.

The performance of the proposed system, the Thermally Deformable Annulus Packer (TDAP), has been lab-tested under downhole conditions. In particular, a full-scale version of the packer has been set in a full-scale replica of the targeted Casing Casing Annulus (the 9-5/8" × 13-3/8" CCA), in the three potential fluid medias for setting; 1) in clear brine, 2) in typical fluid formula, and 3) in a typical cement slurry. The sealing capacity of each packer has been pressure tested with both a hydro-test and a gas test with the maximum pressure allowed by the casing strength.

Examples of Eutectic alloys are those that contain Bismuth. A Bismuth-based alloy can be molten downhole to a liquid with the viscosity of water and ten times its density. Upon solidification, like the behavior of ice, these alloys expand. In the proposed methodology, this expansion is utilized to provide a metal-to-metal seal in fluid leaking-channels.

During the well construction phase, the packer is run in hole as a sleeve on the 9 5/8’’ casing. It is optimally operated in areas with higher likelihood of observing SCP pressure. The created seal would eliminate the risk fluid migration. This prevents the fluid from reaching surface when a leakage occurs.

The pressure rating of the Bismuth-alloy packer, as well as its ability to seal gas, was shown to strongly depend on the medium in which the packer was set. The best performance was observed when the packer was set in clean brine. Under such condition, the packer was able to hold the maximum pressure allowed by the casing strength with both the hydro and the gas pressure tests.

The bismuth alloy packer was able to withstand pressure that exceeds the casing rated pressure. The sealing of the pressure leakage from formation was achieved successfully and the methodology was availed as a SCP preventative practice. Finding other zonal isolation methods is key to availing more strategies for mitigating SCP issues. This technology is aimed for casing designs that have 9 5/8’’ casing as a production casing and this TDAP method, working on a pro-active prevention of SCP, is new in the industry.
In-vitro anticancer activity and Molecular Docking of Andrographolide analogous.
Authors: Yerragunta Vishwanadham , Waghrey Kavita , Raj shiv , Subhashini NJP , D Appaji
Published: November 2023

Andrographolide is obtained from Andrographis paniculata, it is an important herbal medicine, and it is used for cancer treatment and other various diseases. Andrographolide is the major chemical constituent of the extraction of Andrographis paniculata. It is a series of new andrographolide analogous that were designed based on structural activity relationship properties then minimized ADMET prediction and docked against potential PI3K Inhibitor (PDB ID: 3ML8) using Schrödinger software. Andrographolide analogous shows a good binding affinity towards the active site of the protein. Molecular docking compounds 5a, 5b, 5f, 5i shows the best fit to the receptor and MTT assay (MCF-7) some of the andrographolide analogous show good IC50 values compared to the doxorubicin as a standard. Compounds 5b, 5i, 5f shows the microscopic observations revealed that all test molecules exhibited notable morphological changes against MCF-7 cells compared to untreated cells.
Comparison of two different experimental environments for resistance screenings for leafhopper-transmitted wheat dwarf virus in wheat
Authors: Pfrieme Anne-Kathrin , Stahl Andreas , Pillen Klaus , Will Torsten
Published: November 2023

Wheat dwarf virus (WDV) causes high yield losses in wheat and other cereals and is therefore an important pathogen transmitted by the leafhopper Psammotettix alienus. Symptoms of WDV infection in wheat include dwarfing and high yield losses. Climate change will increase infestations by insect-transmitted viruses due to the increasing spread of vectors. In the context of integrated pest management, the cultivation of WDV-resistant/tolerant varieties is an effective way of controlling WDV. Evaluation of tolerant/resistant genotypes is based on inoculation with virus-bearing leafhoppers and subsequent phenotyping in gauze houses under semi-field conditions. For successful screening, it is important to ensure a uniform and reproducible inoculation of plants. Abiotic conditions, particularly temperature, have a critical influence on inoculation success, and thus variations in infection rates were observed within and between previous replicates in the field. Furthermore, the leafhopper population reared in the greenhouse had to be reestablished after each infection, which delayed the screening process. We addressed these issues by developing an improved inoculation assay in which plants are inoculated in small infection hoods in the greenhouse before being planted out in gauze houses. This procedure allows optimal environmental conditions for WDV infection of test plants and allows the plants with WDV infection to develop under natural environmental conditions, such as for symptom scoring. In addition, the virus-bearing leafhoppers were re-collected from the test plants after infection, allowing economically sustainable use of the animals. The method thus enables more reliable phenotyping by increasing infection success and testing a greater number of genotypes in a shorter time.
Evaluation of neonatal and maternal outcomes in pregnant women with Covid 19 in southern Iran: An academic tertiary referral center's experience
Authors: Davoodi Marzieh , Bahrami Reza , Najib Khadijehsadat
Published: November 2023

Introduction
: In the pandemic infectious disease, pregnant women and their fetuses are considered as a high-risk population. considering that pregnant mothers and babies are vulnerable groups during the covid-19 pandemic, the purpose of the present study is to determine the maternal-neonatal outcome among Covid-19 pregnant mothers.
Methods
The present study is a descriptive, analytical, retrospective study, which was conducted as a case-control study in pregnant covid-19 mothers referred to hospitals covered by Shiraz University of Medical Sciences-– the main referral center in southern Iran from march2021 to march2022. The necessary data was collected by a pre-designed checklist that includes questions on demographic information, maternal and neonatal outcomes, and the study results were analyzed by SPSS ver. 25. P-value < 0.05 was considered as the significance level in this study.
Results
The present study showed significant differences in variables related to maternal and neonatal outcomes in terms of vaginal bleeding and fetal distress, premature birth, intrauterine death, ICU admission, low birth weight and NICU admission(P-value < 0.05). Although the incidence rate of neonatal transient tachypnea and pneumonia in infants of covid-19 mothers was more than twice that of the control group, there was no significant relationship between the two groups in this respect((P-value > 0.0)). Also, although abnormal findings such as abnormal lung X-ray, thrombocytopenia and positive CRP were slightly more common in infants of mothers infected with Covid-19, there was no significant relationship between the two groups(P-value > 0.05).
Conclusion
Current data increase the risk of short-term and long-term maternal and fetal outcomes of covid-19 during pregnancy.
WITHDRAWN: Estimating The Carbon Footprint Of Dairy Cattle In Karapınar District
Authors: ERZURUM Onur
Published: November 2023

The increasing human population brings with it an increasing need for animal food. Animal products offered for consumption must also increase in keeping with this situation. This increase is tried to be met both by increasing productivity and by increasing the number of animals. For this purpose, intensive farming systems are becoming widespread. Carbon dioxide (CO2) and methane (CH4) gases, which trigger global warming that comes to the fore with climate changes, are released as a result of the vital activities of dairy cattle. The term carbon footprint is used to track the outputs of production and consumption stages. In this study, it was aimed to estimate the carbon footprint of milking dairy cattle in Karapınar district of Konya province in 2018–2019. For this purpose, tables and equations in the Intergovernmental Panel on Climate Change (2006) guide were used. Tier 1 method was chosen as the calculation method. The number of milked animals in 2019 is 825 heads more than in 2018. The total emission factor value from enteric fermentation in 2019 increased by 81675 kg CH4/yr compared to 2018.
Assessing the Utility of Cortisol Levels in Predicting Iatrogenic Adrenal Insufficiency in Neonates Exposed to Prolonged Steroid Courses
Authors: Rosano Kristen , Bery Saya , Marasch Jaime , Farrell Ryan , Mastrandrea Lucy D. , Ryan Rita
Published: November 2023

Objective
To determine whether random cortisol levels obtained in neonates to assess for secondary adrenal insufficiency (AI) after prolonged steroid exposure are predictive of central AI.
Study Design:
Data were collected on neonates born 2017–2022 who received ≥ 10 consecutive days of systemic steroids and had a cortisol level measured thereafter. Data were then collected on whether those neonates developed signs of AI or had a failed adrenocorticotropic hormone (ACTH) stimulation test.
Results
Of the 71 cortisol levels (in 67 neonates) that were analyzed, there was no difference in cortisol levels between neonates who developed AI (median cortisol level of 6.5 mcg/dl) and those who did not (median of 9.2 mcg/dl), or between those who failed their ACTH stimulation test or passed it, using Wilcoxon ranked sum tests.
Conclusion
These findings demonstrate that cortisol levels may not be helpful in identifying AI in neonates exposed to prolonged steroids.