Multiple Sections Research Articles

A frost ice formation method of horizontal axis wind turbine blade based on polynomial fitting

In this paper, a new direct calculation method of frost ice shape on the blade surface of horizontal axis wind turbine is proposed. Using linear interpolation algorithm, the airfoil ice shape obtained by LEWICE 2D software or ice wind tunnel experiment was fitted with equidistant step length in the first and fourth quadrants and equidistant step length in the second and third quadrants. The key point coordinates of ice shapes on cross-sections along the span-wise were mapped into lagging and flapping surfaces through the mathematical dimension reduction, respectively. The polynomial fitting was used to deal with ice projection points of multiple sections in lagging and flapping surfaces, and then the blade’s frost ice shape was obtained. By calculating the sum of squared residuals of the polar diameter at the same polar angle, the errors between experimental and airfoil frost shape fitting methods, experimental and FENSAP, and blade frost shape formation methods and FENSAP were analyzed. The results show that the new method is in good agreement with the ice shape of FENSAP simulation results and experimental results. The residual sum of squares is small. This method makes the analysis of frost ice morphology of wind turbine blades do not need to consider interdisciplinary. The calculation process is simple and reliable.

Using thermal response factors with time dependent thermal properties

This paper presents a simple and fast methodology to consider changing thermal properties in, for example, the design of shallow geothermal systems, by using thermal response factors. The simulation period is split into multiple sections according to the changes in thermal properties. By transforming the temperature response from one section to the next and subsequent superposition, any changes in the thermal conductivity properties of the media through which heat travels can be taken into account. The method is verified by numerical simulation and its efficiency is demonstrated in an application example. Results show that even though the computational effort increases exponentially with the variation of thermal parameters in time, the computational time is significantly shorter than comparable numerical simulations.

Exact closed-form dynamic stiffness matrix of damaged frames comprising Timoshenko–Ehrenfest beams

The present work proposes the extension of an exact distributional model for cracked beams to include the local influence on axial deformation on shear deformable beams. Axial, shear and flexural concentrated flexibilities are taken into account to model the damaged sections. Shear deformability is accounted for by adopting the Timoshenko–Ehrenfest model and exact closed-form solution of the mode shapes for multiple cracked beams are derived. On this ground, the final achievement of the work consists in the original formulation of the Dynamic Stiffness Matrix (DSM) with multiple cracked sections in exact closed form. The closed-form expression of the DSM allows the assemblage of the global DSM of a structure to conduct the free vibration analysis of damaged framed structures as well as for the study of frames with semi-rigid joints. This approach has the advantage to avoid any numerical procedure for the construction of the DSM as well as the introduction of further degrees of freedom (dofs) in correspondence of the damaged sections, keeping the size of the problem the same as in the intact configuration. Natural frequencies of the frames are determined by means of the Wittrick–Williams algorithm (W–W), then the mode shapes and modal forces are subsequently obtained in closed form. The proposed approach is validated with results available in literature for two portal frames characterized by the presence of cracks and semi-rigid joints, respectively. Finally, the potentiality of the approach, also in view of practical applications, is demonstrated analysing a multi-storey frame with semi-rigid connections.

Modeling and improving the scrubbing efficiency of an intensified ammonia process for coke oven gas purification

Coke oven gas (COG) is a valuable byproduct of coke production in the steel industry. Conventionally, undesired H2S and NH3 in COG are removed in separate columns in an ammonia process. In this work, an intensified ammonia process which removes both H2S and NH3 in a single column with multiple sections is studied. The intensified process occupies less space and is less expensive. A process model is built and validated using plant operating data. The underlying principal of scrubber operation is explained through the simulated concentration profile. The influences of important operating variables such as inlet COG flowrate, strong ammonia liquid flowrate, low ammonia liquid flowrate and concentrated NaOH solution flowrate are studied. It is shown that the H2S removal efficiency is sensitive to inlet COG flowrate, and that the flowrate of low ammonia liquid should be used as manipulate variable to control the outlet COG composition. Furthermore, it is found that to improve the H2S removal efficiency, the flowrate of concentrated NaOH solution should exceed a certain threshold. Otherwise the scrubbing liquid will be neutralized by CO2 in the COG, which will decrease the pH and alkalinity of the scrubbing liquid significantly.

A predictive study of skill performance in terms of some physical, motor and mental abilities as an indicator To select the table tennis starters

The research aims to determine the proportion of some of the physical characteristics and kinetic contribution to the level of performance skills to Nacia table tennis and build Tenboiah equivalent to the level of performance skills through physical and kinetic qualities and touched the researcher to the theoretical studies which contained multiple sections on the subject of search, a selection, objectives, stages and types, also addressed the physical measurements and physical abilities and motor and the importance of each of them in a game of table tennis. the researcher descriptive method survey manner used for suitability nature of the problem. Where determine the research community Bnacia ping-pong they are the participants in the championship of the Republic, regions and obtaining advanced centers set up by the Iraqi tennis Federation central table and taking the value of experience centers training of school activity southern and central provinces, the most important means used are sources of scientific references and questionnaires, conducted an exploratory experience before going to the main experience has been the treatment of the data statistically, after the completion of the curriculum has been the use of appropriate statistical treatments to reach the Fourth: results analyzed and discussed: included Showing results that enriches the researcher through statistical treatments and analyzed and discussed, and through which the researcher was able to achieve the goals of the results of her research, analysis and discussion has reached the most important researcher to the following conclusions . 1-The set of tests contributed to the selection process Nacia Table Tennis2-Some of the physical and motor abilities correlate with performance skills as well as the variable correlated positively correlated with performance skills variable link (simple, multiple)3-a final predictive equation by which to predict the performance skills in terms of the researched variables.The most important recommendations recommended by the researcher: -. 1-take advantage of all tests worked out a researcher in a test sample of the research because it is a good element in the selection and training of players ping-pong process. 2-Adoption of a predictive equation for the purpose of selecting Nacia table tennis in Iraq.3-finding study on the mental and physiological variables

Layer chicken microbiota: a comprehensive analysis of spatial and temporal dynamics across all major gut sections

BackgroundThe gut microbiota influences chicken health, welfare, and productivity. A diverse and balanced microbiota has been associated with improved growth, efficient feed utilisation, a well-developed immune system, disease resistance, and stress tolerance in chickens. Previous studies on chicken gut microbiota have predominantly focused on broiler chickens and have usually been limited to one or two sections of the digestive system, under controlled research environments, and often sampled at a single time point. To extend these studies, this investigation examined the microbiota of commercially raised layer chickens across all major gut sections of the digestive system and with regular sampling from rearing to the end of production at 80 weeks. The aim was to build a detailed picture of microbiota development across the entire digestive system of layer chickens and study spatial and temporal dynamics.ResultsThe taxonomic composition of gut microbiota differed significantly between birds in the rearing and production stages, indicating a shift after laying onset. Similar microbiota compositions were observed between proventriculus and gizzard, as well as between jejunum and ileum, likely due to their anatomical proximity. Lactobacillus dominated the upper gut in pullets and the lower gut in older birds. The oesophagus had a high proportion of Proteobacteria, including opportunistic pathogens such as Gallibacterium. Relative abundance of Gallibacterium increased after peak production in multiple gut sections. Aeriscardovia was enriched in the late-lay phase compared to younger birds in multiple gut sections. Age influenced microbial richness and diversity in different organs. The upper gut showed decreased diversity over time, possibly influenced by dietary changes, while the lower gut, specifically cecum and colon, displayed increased richness as birds matured. However, age-related changes were inconsistent across all organs, suggesting the influence of organ-specific factors in microbiota maturation.ConclusionAddressing a gap in previous research, this study explored the microbiota across all major gut sections and tracked their dynamics from rearing to the end of the production cycle in commercially raised layer chickens. This study provides a comprehensive understanding of microbiota structure and development which help to develop targeted strategies to optimise gut health and overall productivity in poultry production.

Vision-based measurement method for geometric dimensions of PVC pipe end faces

This study introduces a vision-based expedited methodology for assessing various geometric circular dimensions on the termini of PVC conduits. The process commences with delineating pipe profiles using the EDPF algorithm for edge detection. Successive steps employ a radius-constrained weighted circular approximation algorithm to form provisional circular profiles from closed-edge segments. These profiles are refined using a rapid circle arc fitting algorithm for multiple open-edge sections. Noise circles are sifted out with the Number of False Alarms algorithm, and upon calibration with actual dimensions, these profiles are quantified into physical sizes of the conduit's terminal geometries. Empirical evidence from the methodology demonstrates an ability to measure the circular dimensions with a mean accuracy rate surpassing 99.2%.

Fault activity in the San Gabriel Mountains, southern California, USA: Insights from landscape morphometrics, erosion rates, and fault-slip rates

Many studies use landscape form to determine spatial patterns of tectonic deformation, and these are particularly effective when paired with independent measures of rock uplift and erosion. Here, we use morphometric analyses and 10Be catchment-averaged erosion rates, together with reverse slip rates from the Sierra Madre−Cucamonga fault zone, to reveal patterns in uplift, erosion, and fault activity in the range front of the San Gabriel Mountains in southern California, USA. Our analysis tests two prevailing hypotheses: (1) the range front of the San Gabriel Mountains is at steady state, in which rock uplift balances erosion and topographic elevations are stable throughout time, and (2) that west-to-east increases in elevation, relief, erosion rate, and stream-channel steepness across the interior of the massif reflect a parallel reverse-slip rate gradient on the range-bounding Sierra Madre−Cucamonga fault zone. We show that although deviations from steady state occur, the range-front hillslopes and stream channels are typically both well-connected and adjusted to patterns in Quaternary uplift driven by motion on the range-front fault network. Accordingly, landscape morphometrics, 10Be erosion rates, and model erosion rates effectively image spatial and temporal patterns in uplift. Interpreted jointly, these data reveal comparable peak slip rates on the Sierra Madre−Cucamonga fault zone and show that they do not monotonically increase from west to east. Thus, the eastward-increasing gradients developed within the interior of the massif are not solely related to reverse slip on the range-front faults. Evaluated on shorter length scales (<10 km), morphometric data corroborate earlier descriptions of the Sierra Madre−Cucamonga fault zone as multiple individual faults or fault sections, with slip rates tapering toward fault tips. We infer that these patterns imply the predominance of independent fault or fault section ruptures throughout the Quaternary, though data cannot rule out the possibility of large, connected Sierra Madre−Cucamonga fault zone ruptures. Deeper in the hanging wall of the Sierra Madre−Cucamonga fault zone, secondary faults accommodate range-front uplift. Motion on these faults may contribute to active uplift of the highest topography within the massif, in addition to partly reconciling differences between geologic and geodetic Sierra Madre−Cucamonga fault zone reverse-slip rates. This study provides a new, unified perspective on tectonics and landscape evolution in the San Gabriel Mountains.

Exploring women’s interpretations of survey questions on pregnancy and pregnancy outcomes: cognitive interviews in Iganga Mayuge, Uganda

BackgroundIn 2021, Uganda’s neonatal mortality rate was approximately 19 deaths per 1000 live births, with an estimated stillbirth rate of 15.1 per 1000 total births. Data are critical for indicating areas where deaths occur and why, hence driving improvements. Many countries rely on surveys like Demographic and Health Surveys (DHS), which face challenges with respondents’ misinterpretation of questions. However, little is documented about this in Uganda. Cognitive interviews aim to improve questionnaires and assess participants’ comprehension of items. Through cognitive interviews we explored women’s interpretations of questions on pregnancy and pregnancy outcomes.MethodsIn November 2021, we conducted cognitive interviews with 20 women in Iganga Mayuge health and demographic surveillance system site in eastern Uganda. We adapted the reproductive section of the DHS VIII women’s questionnaire, purposively selected questions and used concurrent verbal probing. Participants had secondary school education and were English speaking. Cognition was measured through comparing instructions in the DHS interviewers’ manual to participants’ responses and researcher’s knowledge. A qualitative descriptive approach to analysis was undertaken.ResultsWe report findings under the cognitive aspect of comprehension. Some questions were correctly understood, especially those with less technical terms or without multiple sections. Most participants struggled with questions asking whether the woman has her living biological children residing with her or not. Indeed, some thought it referred to how many living children they had. There were comprehension difficulties with long questions like 210 that asks about miscarriages, newborn deaths, and stillbirths together. Participants had varying meanings for miscarriages, while many misinterpreted stillbirth, not linking it to gestational age. Furthermore, even amongst educated women some survey questions were misunderstood.ConclusionsPopulation surveys may misclassify, over or under report events around pregnancy and pregnancy outcomes. Interviewers should begin with a standard definition of key terms and ensure respondents understand these. Questions can be simplified through breaking up long sentences, while interviewer training should be modified to ensure they thoroughly understand key terms. We recommend cognitive interviews while developing survey tools, beyond basic pre-testing. Improving respondents’ comprehension and thus response accuracy will increase reporting and data quality.

Making the EHR Work for You-Modifications of an Electronic Health Record System to Improve Tracking and Management of Patients Receiving Outpatient Parenteral Antibiotic Therapy.

Managing the complex needs of outpatient parenteral antibiotic therapy (OPAT) patients is challenging and time-consuming. We describe development of multimodal interventions to facilitate patient management within an Epic® (Epic Systems Corporation)-based electronic health record (EHR) platform. During 2016-2018, a multidisciplinary team created several modifications in our local EHR to improve gaps in OPAT care, including shared note templates, shared patient lists, automatically triggered notifications, and comprehensive order sets. A SmartForm was created, allowing collection of discrete, self-contained extractable data about each OPAT episode. We reviewed OPAT episodes from January 2019 through December 2022. The multimodal EHR interventions culminated in the creation of a patient report, the "OPAT Monitoring View" collating OPAT-relevant data from multiple sections of the chart onto 1 screen display. This view is accessible both within the patient chart and from multiple list-based, in-basket, and snapshot-anchored preview functions in the EHR. Implementation of the EHR bundle facilitated management of 3402 OPAT episodes from 2019 to 2022 (850 episodes/year), about 50% higher than anticipated based on 540 OPAT courses in 2016. The OPAT EHR bundle allowed efficient (<3 hours) multidisciplinary rounds for management of 130-145 patients each week, streamlining of care transitions, and increasing staff satisfaction. Bundled multimodal modifications to the local EHR increased patient care efficiency and staff satisfaction and facilitated data collection to support a large OPAT program. These modifications apply commonly available EHR functionalities to OPAT care and could be adapted to other settings with different EHR platforms.

SpatiAlign: an unsupervised contrastive learning model for data integration of spatially resolved transcriptomics.

Integrative analysis of spatially resolved transcriptomics datasets empowers a deeper understanding of complex biological systems. However, integrating multiple tissue sections presents challenges for batch effect removal, particularly when the sections are measured by various technologies or collected at different times. We propose spatiAlign, an unsupervised contrastive learning model that employs the expression of all measured genes and the spatial location of cells, to integrate multiple tissue sections. It enables the joint downstream analysis of multiple datasets not only in low-dimensional embeddings but also in the reconstructed full expression space. In benchmarking analysis, spatiAlign outperforms state-of-the-art methods in learning joint and discriminative representations for tissue sections, each potentially characterized by complex batch effects or distinct biological characteristics. Furthermore, we demonstrate the benefits of spatiAlign for the integrative analysis of time-series brain sections, including spatial clustering, differential expression analysis, and particularly trajectory inference that requires a corrected gene expression matrix.

An Integer Linear Programming Model for the Examination Timetabling Problem: A Case Study of a University in Thailand

This paper considers the examination timetabling problem (ETTP) at the College of Industrial Technology (CIT) of the King Mongkut’s University of Technology North Bangkok in Thailand. A new integer linear programming (ILP) formulation for the ETTP at the CIT is presented. The objectives were to minimize both the number of examination days (the main objective) and the number of rooms used throughout the entire examination period (the secondary objective). In this paper, a course can have multiple sections, and an examination room can accommodate exams for more than one course section. To illustrate the proposed ILP model, real data on courses acquired from the CIT were used to generate two test problems: a small problem and a large problem. The small problem included 32 courses with 69 sections. The large problem included 73 courses with 341 sections, which was the real data required for generating the midterm examination timetable for all first‐year courses in the first semester of 2021. Both problems were solved using the CPLEX solver software. The results show that the proposed model could find an optimal examination timetable for the small problem with a computational time of 2 min and 46 s. It also could find a good feasible midterm examination timetable that satisfied the requirements of the CIT for the large problem within the 2‐h time limit, much less time than that compared to manual scheduling by the CIT’s administrative staff. The obtained midterm examination timetable required five examination days and could reduce 104 examination rooms compared to assigning each course section to a separate examination room. The proposed ILP model can be used in a real‐life situation and can be a good option to generate an optimal schedule or a good feasible schedule for examinations at the CIT or other institutions that have similar requirements.

Analytical formula for multiple ionization cross sections of rare gas atoms by electron and positron impact

Analytical formula for multiple ionization cross sections of rare gas atoms by electron and positron impact

Study of the Histopathological Changes in the Heart in Postmortem/Autopsy Cases in Tertiary Care Center.

There has been a significant increase in global cardiac-related fatalities, particularly over the last five decades. In India, cardiovascular diseases have emerged as a prevalent condition. Moreover, the incidence of sudden cardiac death has shown a steady rise worldwide. The aim of this study was to research how frequently cardiac disease was found during postmortem/autopsy cases and how it affects sudden death. The research was conducted at the Department of Pathology, SRTR, GMC, Ambajogai, India. One hundred and eighty cardiac specimens were examined from October 2019 to October 2021. Formalin-fixed heart specimens had multiple sections cut out of them at 4-5 mm intervals. The tissues underwent preparation, followed by sectioning into 4 μm thickness using paraffin. The standard staining method of hematoxylin and eosin was used to stain the samples. Different cardiac histomorphological alterations were assessed. The study included 180 autopsy cases. The highest numbers of cases were observed in the age group of 31-40 years (20.2%). Triple-vessel involvement was seen in the majority of 61.5% of cases, out of 180 cases, 52.7% of cases were of hypertrophy. The research highlights the prevalence of cardiovascular diseases, particularly atherosclerosis and hypertrophy. Notably, sudden death cases showed a distinct distribution across the study years, with males being predominantly affected. This underscores the urgent need for preventive measures and interventions to prevalent cardiovascular conditions effectively.

Analysis of Critical Current Dependence on Specimen Length and Crack Size Distribution in Cracked Superconductor.

In order to describe the dependence of critical current on specimen length and crack size distribution in the superconducting tape with cracks of different sizes, a Monte Carlo simulation and a model analysis were carried out, employing the model specimens of various lengths constituted of multiple short sections with a crack per each. The model analysis was carried out to evaluate the effects of the two factors on the critical current of a specimen. Factor 1 is the size of the largest crack in a specimen, and Factor 2 is the difference in crack size among all sections at the critical voltage of critical current. Factors 1 and 2 were monitored by the smallest ligament parameter among all sections constituting the specimen and by the number of sections equivalent to the section containing the largest crack at the critical voltage of the critical current of the specimen, respectively. The research using the monitoring method revealed quantitatively that the critical current-reducing effect with increasing specimen length is caused by the increase in the size of the largest crack (Factor 1), and also, the critical current-raising effect is caused by the increase in the difference of crack size (Factor 2). As the effect of Factor 1 is larger than that of Factor 2, the critical current decreases with increasing specimen length. With the present approach, the critical current reducing and raising effects under various crack size distributions were evaluated quantitatively as a function of specimen length, and the specimen length-dependence of critical current obtained by the Monte Carlo simulation was described well.

Maintaining Course Quality and Integrity Across Multiple Modalities

To effectively educate the future public health workforce, it is essential for public health faculty to engage in purposeful and thoughtful pedagogical practices in their teaching. In the post-COVID higher education environment, instructors teaching course sections offered both in-person and online concurrently must ensure that curricular continuity is maintained, while respecting modality-driven differences. Developing multiple course sections, parallel in outcomes and rigor, but bespoke in instructional approach requires both additional development time and faculty support structures. While time is always in short supply, it is troubling to note that there is a paucity of information directed toward faculty that provides guidance on how faculty engage in course design work that requires them to plan in two modalities simultaneously. In the absence of available best practices for course design in multiple modalities, this paper provides a description of a pedagogical curriculum reflection exercise created to ensure that course sections delivered across different modalities are comparable and meet course competencies, such as those of the Council on Education for Public Health, in equitable ways.

Promoting Cross-Cultural Psychology Research in the Caribbean: Best Practices in Intersectionality

Given the Caribbean region’s post-colonial history with entrenched and daunting challenges of: structural racism, patriarchy, and colorism as epiphenomenal outcomes, it is imperative that cross-cultural investigators using 21st century research paradigms honed and crafted from strengths-based approaches interrogate issues surrounding national, cultural identity, and cultural hybridity. Additionally, push-pull factors in migration, acculturative influences, psychological resilience, and coping strategies within non-pathologizing frameworks of inclusivity and intersectionality are fodder for empirical research. These holistic perspectives borrow from multiple perspectives in Black Psychology paradigm shifting as they reject and deconstruct Eurocentric models in explaining Black psyche and behaviors. The discursive frame around subaltern voices, is that, it deracinates “grand” theories, splinters and challenges hegemonic assumptions. Moving from the mechanistic, binary constructions placing a premium on only quantitative models with a concomitant devaluation of qualitative approaches, this author argues that the kinds of cross-cultural research that offers the most qualitatively-rich analysis is ethnography, as this approach embraces concepts of lived epistemological realities of participants. As a cross-cultural tool, it triangulates participant observations, interviews, and case studies. The ethnographic report generated from this data-gathering methodology and comprised of multiple sections, illuminates the following: the uniqueness of indigenous psychologies; provides important historical contexts; addresses issues of language, cultural rituals, and norms; and grounds the work within multidisciplinary perspectives offering more integrative, cogent analyses of cultural phenomena. Further, even research ensconced in knowledge-production for academic consumption should hue to the penultimate, translational goals of nation building, community flourishings, and human capital development. Keywords: cross-cultural research, Caribbean psychology, intersectional research

Serial Lift-Out: sampling the molecular anatomy of whole organisms

Cryo-focused ion beam milling of frozen-hydrated cells and subsequent cryo-electron tomography (cryo-ET) has enabled the structural elucidation of macromolecular complexes directly inside cells. Application of the technique to multicellular organisms and tissues, however, is still limited by sample preparation. While high-pressure freezing enables the vitrification of thicker samples, it prolongs subsequent preparation due to increased thinning times and the need for extraction procedures. Additionally, thinning removes large portions of the specimen, restricting the imageable volume to the thickness of the final lamella, typically <300 nm. Here we introduce Serial Lift-Out, an enhanced lift-out technique that increases throughput and obtainable contextual information by preparing multiple sections from single transfers. We apply Serial Lift-Out to Caenorhabditis elegans L1 larvae, yielding a cryo-ET dataset sampling the worm’s anterior–posterior axis, and resolve its ribosome structure to 7 Å and a subregion of the 11-protofilament microtubule to 13 Å, illustrating how Serial Lift-Out enables the study of multicellular molecular anatomy.

Student-Created Dublin Core Metadata Representing Arabic Language eBooks: Comparison of Individual and Group Work Outcomes

In the Arabian Gulf countries, including but not limited to Kuwait, digital library metadata education is currently in its early stages. Empirical data assessing student learning outcomes of metadata instruction would allow for data-driven curriculum development as the courses and academic programs that are intended to provide such education evolve in the region. The study presented in this article provides these much-needed data from an undergraduate library and information science program in Kuwait. In this project, we examined the metadata records created to represent Arabic-language eBooks as part of individual and group assignments. A total of 187 student-created Dublin Core metadata records were collected from multiple sections of the metadata course (including female-only and male-only sections) over four semesters in 2021 and 2022. The dataset included 177 individually created records, and 10 records created by student teams. Accuracy and completeness of these metadata records were evaluated and compared across sections and between individual and team projects. The study's findings are presented and discussed in the context of metadata teaching practices in this Kuwaiti undergraduate program, and specifically with regard to activities and assessments intended to develop the Dublin Core record-creation skills. The study results demonstrate that students overall experience the most problems with representing copyright and intellectual rights and source information, describing what times and locations the information resource is about, and representing those who made non-major contributions to the information resource. Substantial differences were also observed in the patterns of metadata accuracy and completeness between individual work and teamwork, and between the metadata created by students in female-only and male-only course sections. Ideas for future research projects that would collectively allow forming a robust understanding of current metadata education and its outcomes in the Arabian Gulf region, as well as suggested curriculum enhancements, are discussed.

An ensemble-based machine learning solution for imbalanced multiclass dataset during lithology log generation

The lithology log, an integral component of the master log, graphically portrays the encountered lithological sequence during drilling operations. In addition to offering real-time cross-sectional insights, lithology logs greatly aid in correlating and evaluating multiple sections efficiently. This paper introduces a novel workflow reliant on an enhanced weighted average ensemble approach for producing high-resolution lithology logs. The research contends with a challenging multiclass imbalanced lithofacies distribution emerging from substantial heterogeneities within subsurface geological structures. Typically, methods to handle imbalanced data, e.g., cost-sensitive learning (CSL), are tailored for issues encountered in binary classification. Error correcting output code (ECOC) originates from decomposition strategies, effectively breaking down multiclass problems into numerous binary subproblems. The database comprises conventional well logs and lithology logs obtained from five proximate wells within a Middle Eastern oilfield. Utilizing well-known machine learning (ML) algorithms, such as support vector machine (SVM), random forest (RF), decision tree (DT), logistic regression (LR), and extreme gradient boosting (XGBoost), as baseline classifiers, this study aims to enhance the accurate prediction of underground lithofacies. Upon recognizing a blind well, the data from the remaining four wells are utilized to train the ML algorithms. After integrating ECOC and CSL techniques with the baseline classifiers, they undergo evaluation. In the initial assessment, both RF and SVM demonstrated superior performance, prompting the development of an enhanced weighted average ensemble based on them. The comprehensive numerical and visual analysis corroborates the outstanding performance of the developed ensemble. The average Kappa statistic of 84.50%, signifying almost-perfect agreement, and mean F-measures of 91.04% emphasize the robustness of the designed ensemble-based workflow during the evaluation of blind well data.