bluuebunny/crossref_metadata_2025 huggingface dataset:
A phenomenological study of the experiences of occupational trauma counselors in industrial accident psychological support.
Authors:   The Association of Korea Counseling Psychology Education Welfare, LIM Soo-Yeon
Published: November 2024

Industrial accidents often leave workers psychologically traumatized, and the occupational trauma counselors who assist them are exposed to ongoing stress. This study aims to explore the experiences of occupational trauma counselors who provide psychological support following industrial accidents. In-depth interviews were conducted with five counselors involved in crisis interventions during major industrial accidents, and the data were analyzed using van Manen's hermeneutic phenomenology method. The analysis revealed 24 subthemes and 5 overarching themes that encapsulate the essence of the counselors' experiences: “Facing the scene of suffering,” “Being thrown into an unfamiliar situation,” “Struggling amidst chaos,” “Experiencing anxiety and emptiness after intense immersion,” and “Reflecting on life and suffering, and becoming an advocate.” These findings have implications for enhancing psychological support in occupational trauma cases, and recommendations for future research are provided.
A study on detecting faking response using machine learning in a self-report psychological test
Authors:   The Association of Korea Counseling Psychology Education Welfare, LEE Jinsil , Hong Yujung
Published: November 2024

This study investigated methods for detecting faking responses in self-report psychological tests using machine learning techniques. Data were collected under both honest and deceptive conditions, and three algorithms—random forest, support vector machine, and artificial neural network—were applied for prediction. The results indicated that machine learning techniques, particularly artificial neural networks, were effective, achieving more accurate results compared to traditional methods using specific cutoff thresholds. These findings suggest that the choice of detection method may vary depending on the context of the psychological assessment. Furthermore, the study recommends combining machine learning and traditional approaches to enhance the detection of faking responses in psychological tests.
The Impact of Demographic Characteristics, Relationship Level, and Lifestyle on Victim Blaming of Sexual Violence
Authors:   The Association of Korea Counseling Psychology Education Welfare, WOO Yun-Hee , KIM Tae-Kyoung
Published: November 2024

In this study, a quantitative study of 363 adults and a qualitative case study of 17 adults were conducted to explore the impact of demographic characteristics, relationship level, and lifestyle on blaming victims of sexual violence. Quantitative research results showed that gender differences in victim blaming were not significant. And it was found that the older the participant, the stranger the perpetrator was, and the more open the victim's lifestyle, the more they blamed the victim. As a result of the qualitative case study, the reasons for victim-blaming were summarized as ‘the illusion that the offender can be recognized at a glance’, ‘alcohol is guilty-the offender is innocent’, ‘the crime of not saying no’, ‘a man’s sexual impulse is entirely the woman’s fault’, ‘prevention is self’, ‘the illusion that men's sexual impulses are always right', 'open lifestyle is a sign of wanting to be raped', and 'retribution'. They converged into sexism based on gender role stereotypes. In the discussion, suggestions were made on effective prevention strategies for secondary victimization and directions for follow-up research.
Editions of Works by A.S. Pushkin in the Russian Abroad (1917–1988): To the 225th Anniversary of his Birth
Authors: Bazanov P. N.
Published: November 2024

For the first time, the history of publication of works by A.S. Pushkin is restored in Russian Abroad. The chronology of the periods of publications of the poet in emigration is reconstructed. There, the works of A.S. Pushkin’s works were published in all types of publications – in academic ones, works collections, selected works, publications for adult readers children, for educational purposes. The main attention was paid to the publishing houses that published the books of the great Russian poet in the capitals and in the main centers of the book business of the Russian emigration. In Berlin, the greatest number of the great Russian poet’s works were published by the publishing houses “I.P. Ladyzhnikov”, “Petropolis”, “Slovo”, “Neva”, and “Literatura”. In Paris, it is necessary to highlight the publishing houses of “E. Siyalskaya”, “Illustrated Russia”, “S. Lifar”. In Prague, A.S. Pushkin was published by “Nasha Rech”, “Kremlin”, “Slavyanskoe Publishing House” and “Khutor”. Celebrating the centenary of the tragic death of the great poet resulted in renewal of A.S. Pushkin works publications. The activities of the “Central Pushkin Committee in Paris” are highlighted. The features of A.S. Pushkin publications are explained for emigrants in Estonia and Latvia and the local Russian population. The main centers of the provincial book business of the Russian emigration in Harbin, Shanghai, and Buenos Aires are shown. The emergence of the second wave of Russian emigration contributed to a new period of publication of A.S. Pushkin’s books. The publishing activity of Russian emigrants in camps for displaced persons is studied. A brief outline of the history of DР publishing houses is given.
Alternative Resources for Solving Bibliometric Problems of Researchers and Scientific Organizations
Authors: Prokofieva Yu. D.
Published: November 2024

The aim of the article is to analyze functional possibilities of accessible information sources to solve bibliometric tasks of researchers and scientific organizations based on criteria of “Methodology for accessing the development of interdisciplinary research and the activities of research organizations”, used in the Central Scientific Library of the Ural Branch of the Russian Academy of Sciences (UB RAS). The article considers scientific information search systems as alternative sources of scientometric data in the absence of access to the Web of Science and Scopus. The analysis of the systems is carried out in accordance with the criteria of the above mentioned “Methodology”. The functional capabilities of the systems, available bibliometric indicators, analytical tools and information visualization capabilities for evaluating the activities of research organizations and researchers have been studied. For information systems with the function of a scientific profile, a comparative analysis of quantitative characteristics is carried out on the example of a specific scientific organization and the author (IMASH Ural Branch of the Russian Academy of Sciences and Maidanik Yu. F.). Conclusions were drawn about the prospects for using the analyzed resources, in particular the CoLab system to assess the publication activity of scientific organizations of the UB RAS.
Case study: world’s largest renal myopericytoma—management and literature review
Authors: Nagaraju Supreeth , Goel Hemant Kumar , Paliwal Purnima , Narasimharaj Chandan M
Published: November 2024

Renal myopericytoma is a rare renal mesenchymal neoplasm. It is primarily benign with limited clinical research, which makes its diagnosis a challenge. Till date, only 13 cases have been reported in literature. In this study, we report one of the largest renal myopericytomas. A young male with a large palpable renal mass diagnosed by contrast-enhanced computed tomography (CECT) of the abdomen and positron emission tomography (PET)-CT underwent right radical nephrectomy. The resected mass was in the size of 40 × 30 × 25 cm and weighed 12.6 kg. A diagnosis of renal myopericytoma was made on histopathologic examination after ruling out histopathologic mimics using a wide panel of immunohistochemical markers. The patient is free of recurrence at 21 months of follow-up. The rare location, unusually large size, and prominent myxoid change make it a rare entity. Its large size does not correlate with its malignant potential. Surgical excision is curative.
Dynamical behavior and control strategy of a dengue epidemic model
Authors: Bocanegra Villegas Laura Valentina , Sánchez Ramírez Cuauhtémoc , Usaquén Perilla Sandra
Published: November 2024

Mosquitoes of the species Aedes (Ae. aegypti or Ae. albopictus) can transmit Dengue, Chikungunya, Zika, and Yellow Fever. Of the people's mobility and increasing population density, diseases such as Dengue have been an epidemic in recent years, becoming a globally important health problem. Those responsible for creating vector control campaigns and medical staff are interested in identifying tools to predict the seasonal peak of the dengue outbreak and identify related climate factors that contribute to the increase in the number of mosquitoes. The purpose of this research is to simulate the behavior of the mosquito population with system dynamics. For simulation, the main variables entered are precipitation, temperature, and epidemiological week. The model is the first phase of a project that aims to provide a tool for simulating outbreaks of dengue with system dynamics, a basis for predicting the spread of the dengue.
Diseño de un controlador en tiempo discreto para sistemas no lineales
Authors: Hernández González Miguel
Published: November 2024

En este trabajo se propone diseñar un controlador en tiempo discreto que estabiliza una ecuación discreta escalar, donde en ausencia de perturbaciones es posible elegir el tiempo de convergencia al origen como un parámetro en la ley de control. Se realiza un análisis con este controlador, en ausencia de perturbaciones, para verificar que en un número de pasos finito se logre la convergencia al origen. Con presencia de perturbaciones acotadas se agrega al controlador propuesto un término integral discreto que rechaza dichas perturbaciones y al mismo tiempo se logren los objetivos de control. Finalmente, se aplican los resultados obtenidos a un sistema de ecuaciones en tiempo discreto para comprobar la factibilidad de dicho estudio.
Análisis de conductas de seguridad en diferentes contextos laborales de Ciudad Juárez
Authors: Gómez Bull Karla Gabriela , Máynez Guaderrama Aurora Irma , Vargas Salgado María Marisela , Hernández Gómez Jesús Andrés
Published: November 2024

Este estudio tiene como objetivo analizar el comportamiento de seguridad mostrado por trabajadores en diferentes contextos ocupacionales en el norte de México. El comportamiento de seguridad se midió con dos dimensiones: participación en seguridad y cumplimiento de seguridad, a través de un instrumento de 7 ítems previamente validado. Se recolectaron datos de una muestra de 201 trabajadores que laboran en diferentes sectores, incluyendo automotriz, médico, servicios y educación, entre otros. No se identificaron diferencias significativas en los comportamientos de seguridad exhibidos entre los distintos sectores laborales, sin embargo, cabe destacar que los trabajadores de los sectores educativo y de servicios son más propensos a exhibir mejores comportamientos de seguridad. Los contextos laborales con más comportamientos de riesgo son los de los sectores de la electrónica y el médico. Además, se constató que solo un bajo porcentaje de trabajadores es conciente de trabajar de forma insegura. Se recomienda seguir analizando los accidentes laborales y sus respectivos factores asociados, para utilizar dicha información en el diseño de medidas preventivas de seguridad.
Optimización de la configuración de materiales compuestos laminados mediante redes neuronales y templado simulado
Authors: Galvis Chacón Julio César , Rodríguez-Sánchez Alejandro E. , Ledesma Orozco Elías Rigoberto
Published: November 2024

La optimización de materiales compuestos laminados es uno de los principales desafíos en el diseño de componentes o sistemas estructurales debido a la influencia de múltiples parámetros en su desempeño y respuesta mecánica ante la deformación. Esta investigación utiliza un metamodelo basado en redes neuronales artificiales para predecir índices de desempeño, específicamente el índice de falla de Tsai-Wu, a partir de la configuración del laminado de un material compuesto sujeto a cargas considerando espesores y orientaciones de sus fibras. El metamodelo alimenta una función objetivo diseñada para mejorar la configuración de una pieza mediante la optimización de las orientaciones de las fibras. Se combina un algoritmo de templado simulado adaptado para materiales compuestos laminados con redes neuronales, generando un espacio de soluciones que ofrece al diseñador una amplia gama de opciones para abordar el análisis del problema. El método reportado es una alternativa eficiente al método tradicional de análisis de materiales compuestos laminados, agilizando el proceso y ampliando las posibilidades de configuración disponibles para su selección.
Aplicación de gestores web para la clasificación de documentos en un área de gestión académica
Authors: Télles Peña Ricardo de Jesús , Niccolas Morales Heriberto , Arroyo Barranco César Alfonso
Published: November 2024

Los gestores web, como herramientas tecnológicas, juegan un papel crucial en la optimización de procesos administrativos al ofrecer soluciones eficientes para la gestión de información y documentos. Su impacto en el área administrativa radica en la simplificación de tareas tediosas y la mejora de la organización y accesibilidad de los datos. La implementación de un gestor web tiene como objetivo automatizar procesos de clasificación y búsqueda, los gestores web permiten a las organizaciones ahorrar tiempo y recursos, al tiempo que aumentan la productividad y la precisión en la toma de decisiones. Se aplicó la metodología Scrum para el desarrollo de una aplicación de gestor web una Dependencia de Educación Superior (DES) en México, por su adaptabilidad y flexibilidad, facilitando la entrega continua y la mejora constante a través de iteraciones cortas. Como resultado, se logró desarrollar un gestor web con un buscador en tiempo real el cual cumple con los criterios de la norma ISO/IEC 9126. Sin embargo, las limitaciones incluyen la necesidad de alojar el proyecto en un servidor para un acceso más amplio. Las conclusiones derivadas del estudio son que la implementación de un gestor web con un buscador en tiempo real ofrece una solución novedosa para automatizar la clasificación de archivos en una institución educativa.
Los deepfakes y su incidencia en el derecho probatorio
Authors: Coaquira Flores Ángel Jeancarlo
Published: November 2024

El objetivo de este artículo es determinar el impacto de las tecnologías deepfake en el Derecho Probatorio, debido a que la inteligencia artificial generativa no solo provoca un estado de indefensión para bienes jurídicos como la democracia, sino que también se configura como una problemática disruptiva para la verdad procesal. Asimismo, a lo largo de la presente investigación se empleó el Método de Revisión Integrativa de Literatura mediante el cual se recolectó y filtró información vinculada a la naturaleza e impacto de los ultrafalsos. Finalmente, se llegó a demostrar que en el common law, se debería considerar la posibilidad de erradicar el uso del Principio del Testigo Silencioso frente a las pruebas digitales en consideración de la proliferación de los deepfakes; y, por otro lado, en el civil law, se pudo evidenciar que la necesidad de utilizar inteligencia artificial para la detección de deepfakes atentaría contra dos criterios Daubert, ya que la técnica carece de pruebas frente a errores y le hace falta revisión científica.
The Relevance of the Curriculum Early Childhood Islamic Education Study Program to Employment Needs
Authors: Mulyana Asep , Syifauzakia Syifauzakia , Wahyudi Ayu Vinlandari , Shifwatussolihat Shifwatussolihat
Published: November 2024

The workforce tests the skills students acquire during their studies. This study aims to analyze how the curriculum of the Early Childhood Islamic Education Study Program aligns with the competencies required in the workforce. In addition, this study evaluates the competitiveness of alumni and the level of satisfaction of the institutions that employ them. This study employs a mixed method, also known as a mixed method, along with a sequential explanatory design. Random sampling techniques selected a total of 45 alumni and 16 alumni users as samples. We collected quantitative data through surveys and obtained qualitative data through structured interviews and focus group discussions. We analyze quantitative data using descriptive statistics and interactively analyze qualitative data. The results showed that 97.78% of courses are relevant to work needs, and 98% of alumni competencies are in accordance with the demands of the workforce. However, the curriculum requires adjustments to face the challenges of the 21st century, such as technology integration, cooperative learning, application of differentiated learning, and a holistic learning approach. Additionally, the curriculum needs to adapt to current trends in early childhood Islamic education, including emotional management, smart device use, artificial intelligence, and STEAM-based learning design.
TACTICS FOR MUSICAL ARTS LEARNING FOR 9TH GRADE
Authors: Nyguel Steven , Martiati Lucy , Ichwan Clemy
Published: November 2024

The purpose of this study was to find out the learning process of musical arts used in teaching 9th grader students at Candle Tree Junior High School for the 2022/2023 academic year. Time and place of research starting from November 2022 to January 2023 at Candle Tree Junior High School. The research method used is a qualitative research method. Data collection uses observation, interview, documentation, and triangulation techniques. Data analysis was conducted by making field notes, making interview transcripts, compiling and searching for data from pre-recorded interviews, then transcribing interview transcripts in table form, making field notes and searching for data, as well as documenting.
The results of the research showed that the learning process of musical art used in teaching 9th graders uses the discussion learning method, the demonstration method, and the drill method. The advantage of using this method is that students are activated through discussion, students pay attention to teacher demonstrations, then immediately try to practice. Giving motivation is also conducted, and educators listen to students' input in determining song material.
Analysis Art of Fugue Contrapunctus XIII Rectus Inversus BWV 1080
Authors: Farah Al Fatihah  , Helena Evelin Limbong  , Caecilia Hardiarini
Published: November 2024

This research aims to identify the form, structure, and development of motifs in Johann Sebastian Bach's Art of Fugue Contrapunctus XIII Rectus Inversus BWV 1080, as well as to provide research references or references for compositional analysis research and forms of musical composition analysis. The object of the research is focused on the shape, structure, and development of motifs in the Art of Fugue Contrapunctus XIII Rectus Inversus BWV 1080 by Johann Sebastian Bach with the transcript of Luis Alvarez. The research method used in this research is a qualitative method with descriptive analysis. The data for this research came from document analysis, literature study, and also interviews. The data can be obtained through observation of scores and audio, analyzing form, structure, melody development, identifying theories based on books, journals, and data sources based on interview results. The results of this research found that Johann Sebastian Bach's Art of Fugue Contrapunctus XIII Rectus Inversus BWV 1080 has 3 parts, beginning with Exposition, then Exposition, and ended with Recapitulation. The elements of fugue composition found are subject, answer, countersubject, stretto, episode, pedal point, basso continuo, and orgelpung. The melodic development found are sequence, tonal transpose, tonal investment, real inversion, alteration, and contrary motion.
Optimasi Rute Pendistribusian Produk Pelumas Kendaraan Menggunakan Algoritma Genetika: Studi Kasus
Authors: Iskandar Yelita , Kenzie Dwianugerah Delu
Published: November 2024

Studi ini awalnya muncul karena adanya perubahan Total Permintaan Distributor (TDP) pelumas kendaraan sejak pandemi Covid-19 melanda. Ditambah lagi dengan pemberlakuan Pembatasan Kegiatan Masyarakat (PPKM) yang memaksa orang-orang bekerja dari rumah menyebabkan kendaraan pribadi jarang digunakan kecuali ada keperluan khusus. Perubahan tersebut berdampak pada sistem distribusi pelumas khususnya di wilayah Jabodetabek. Karena perubahan distribusi pelumas terus terjadi selama dan setelah pandemi, maka perlu dilakukan optimasi ulang rute secara berkala untuk meminimalkan biaya transportasi dan memastikan barang sampai di tempat tujuan dengan jumlah yang tepat, menggunakan model Capacitated Vehicle Routing Problem (CVRP). Untuk mempercepat pencarian solusi, digunakan metode metaheuristik yaitu algoritma genetika (GA) sehingga memudahkan pencarian solusi bahkan pada data baru tanpa perlu melakukan pemodelan ulang secara lengkap. GA bertujuan untuk mengurangi biaya transportasi dari Depot Supply Point (DSP) ke distributor. Data yang dibutuhkan terdiri dari jenis dan jumlah kendaraan, profil permintaan, matriks jarak antara depo dan distributor, biaya terkait kegiatan transportasi, dan lain-lain. Metode yang diusulkan memberikan alternatif ilmiah untuk mengatur jalur distribusi produk pelumas kendaraan di perusahaan amatan. Didapatkan solusi terbaik penentuan rute perjalanan kendaraan yang optimal dengan batasan Total Permintaan Distributor yaitu Skenario 4. Kombinasi rute yang dihasilkan Skenario 4 yaitu sebanyak lima rute dengan total jarak tempuh kendaraan 372,1 km.
Analisis Efektivitas Penggunaan Metode EOQ untuk Pengendalian Persediaan Kopi di PT Bogor Kopi Indonesia
Authors: Rabbani Wilsam Akbar , Thoifatul Munawwaroh  , Diana Shinta Rahayu  , Wiwik Wiqoyatun Nisa  , Debora K. P. Parhusip  , Khoirul Aziz Husyairi
Published: November 2024

PT Bogor Kopi Indonesia merupakan perusahaan dagang yang menjual biji Kopi Robusta dan Arabika dalam bentuk green bean, yang bermitra langsung dengan petani di beberapa daerah di Kabupaten Bogor. Proses persediaan yang terjadi di PT Bogor Kopi Indonesia menggunakan sistem penyimpanan sederhana pada gudang yang terletak di Tanjungsari Kabupaten Bogor. Permasalahan yang timbul akibat sistem persediaan sederhana yaitu kurangnya efisiensi biaya yang dikeluarkan pada saat melakukan penyimpanan dan pengiriman biji kopi tersebut. Salah satu upaya solusi adalah dengan menerapkan metode Economic Order Quantity untuk pengendalian persedian kopi di PT Bogor Kopi Indonesia. Sehingga penelitian ini bertujuan menghitung dan menganalisis jumlah safety stock yang diperlukan pada PT. Bogor Kopi Indonesia serta menghitung dan menganalisis waktu pemesanan kembali persediaan (reorder point) pada PT. Bogor Kopi Indonesia. Dengan penerapan EOQ, perusahaan berhasil menentukan jumlah optimal pembelian sebanyak 14,3 ton, lebih tinggi daripada kebijakan sebelumnya yang hanya 9,5 ton. Menurunkan jumlah pesanan dari 64 menjadi 21 per tahun tidak hanya mengurangi biaya pesanan, tetapi juga mengurangi total biaya persediaan secara signifikan, dari Rp17.958.439 menjadi Rp4.591.778. Selain itu, penentuan safety stock sebesar 10,21 ton dan titik pembelian ulang (reorder point) di angka 3,36 ton berfungsi sebagai perlindungan yang efektif terhadap ketidakpastian dalam permintaan dan pasokan, sehingga memastikan operasional perusahaan berjalan dengan lancar.
Power Modeling Tools : Market Assessment
Authors: Lopez Vanessa D. , Perez Benito F. , Harold R. Harold R. , Johnson Melanie D.
Published: November 2024

This work was performed by the Energy—Power and Mechanical Systems Branch, US Army Construction Engineering Research Laboratory (CERL), Engineer Research and Development Center (ERDC).This technical note provides a survey and market assessment of power modeling tools to assist the Office of the Assistant Secretary of the Army (OASA), Installations, Energy, and Environment (IE&E), with effective decision-making when considering the features, advantages, and disadvantages of the software tools available for power system modeling on a typical small, medium, or large Army installation. This summary information reviews the capabilities and features of commercial power system modeling software tools. Installations may use these tools to model their electrical distribution systems and assess the impacts of facility electrification, electric vehicle deployment, microgrid implementation, and other electrical system projects.
Heterogeneous long-term and seasonal brine evolution, and Artemia fecal pellet controls on Urmia Lake (NW Iran) salt-crust formation and mineralogy
Authors: Mohammadi Ali
Published: November 2024

Urmia Lake resides as a substantial hypersaline lake characterized by notable fluctuations in water salinity, brine composition, and water level over long-term, annual, and seasonal intervals. Extremely rapid water elevation fall (> 7 m) in the last three decades has caused the formation of a salt crust on the lake floor. A manmade stone causeway divided the lake into two relatively deeper northern parts with minimal water inputs and a shallower southern part with maximal river inflows. Restricted water flow through the narrow water passage of the causeway leads to complex salinity processes, brine evolution, and salt-crust formation in Urmia Lake. This research analyzes the ionic composition of lake-sediment and salt-crust pore water, the mineralogy of salt crusts, and the ionic composition of both surface and deep lake waters during both the wet and dry seasons of 2019. The findings indicate that the northern and southern parts of the lake undergo stratification during wet seasons due to significant freshwater input, whereas they become homogenized during dry seasons through progressive evaporative concentration and water mixing. The spatial and temporal variations in the lake brine type (primary Na-Mg-Cl) and ionic composition contribute to the formation of a halite salt crust (NaCl > 97%) with heterogeneous mineralogy and thickness. In Urmia Lake, the variable thickness and mineralogy of the exposed marginal salt crust suggest rapid salt-crust reorganization by annual and seasonal deposition and dissolution processes. Conversely, the submerged central salt crust, with continuous thickening and constant mineralogy, remains unaffected by seasonal variations in brine type and dissolution processes. It is noteworthy to mention that Artemia (a brine shrimp) controls the mineralogy of the lake salt crust through the deposition of calcium and carbonate ions in the form of biochemical fecal pellets.
Fusion of Reservoir Mapping and High-Resolution Imaging Technologies Enhance Horizontal Well Implementation in the Unconventional Najmah Formation
Authors: Al Ajmi Saad , Al-Azmi Mejbel , Al Otaibi Fahad , Joshi Girija , Pattnaik Chinmaya , Issa Dania , Danash Tarek , Vican Kresimir , Abdulkarim Anar
Published: November 2024

The Najmah MFS (marine flooding surface), known for its abundant organic-rich clay (2-30% TOC), presents considerable potential as a reservoir for gas, condensate, and light oil. Nonetheless, geosteering poses challenges due to limited seismic resolution and stratigraphic uncertainties, resulting in lateral fluctuations in petrophysical properties and pay-zone thickness. With porosity levels ranging from 2-6% and permeability from 0.01-1.5 mD, the flow-control mechanism relies heavily on a natural fracture network.

A preliminary well model was constructed using data from existing offset wells to evaluate various well-placement techniques. Utilizing a combination of ultra-deep azimuthal resistivity mapping (UDAR) and gamma-ray imaging tools facilitated precise geosteering of the lateral section. The primary objectives were to maintain the well trajectory within the productive zone, anticipate and detect any anomalies in the formation while navigating sub-seismic faults, and enable swift adjustments to sudden changes in formation dip. Additionally, an ultrasonic high-resolution imaging (UHRI) tool was employed in the lateral section to analyze fractures, faults, and borehole geometry, aiming to optimize completion design and improve production efficiency.

The 6-in. lateral section remained within the designated target zone, maximizing exposure to the reservoir while traversing various geological formations, including faults, which were delineated in the resistivity inversions. Combining deep and short-range measurements ensured precise placement of the well within the target area. The resistivity inversion highlighted multiple strata on a larger scale, away from the wellbore, while the gamma-ray image contributed to more accurate steering. Additionally, the UHRI facilitated the refinement of completion design and advanced field development by identifying a total of 426 features, including 342 fractures, 22 faults, and 62 bedding planes. Integrating UDAR with UHRI not only enabled successful horizontal well placement but also supported optimization of the completion design, resulting in enhanced production capabilities from the well.

These findings have provided significant insights into improving future field development strategies and optimizing completion designs. The methodology is highly recommended for application in upcoming well profiles with similar characteristics, aiming to enhance field development in the unconventional Najmah Limestone reservoir of North Kuwait.
Characteristics of the CO2 Flooding Front for CO2-EOR in Unconventional Reservoirs: Considering the Different Miscibilities of CO2-Crude Oil
Authors: Liu Xiliang , Chen Hao , Cheng Weiming , Xu Chenghao , Zuo Mingsheng , Gao Shuaiqiang , Yi Wu , Liu Haipeng , Qi Xinyu , Brahim Mahaman Sidi
Published: November 2024

Both laboratory tests and pilot wells have demonstrated the significant potential of CO2 as an enhanced oil recovery (EOR) medium. Due to the weak pressure conduction and mass transfer of the CO2-oil system, multiple zones are generated between the injection well and production well in ultra-low permeability reservoirs. This work aims to explore the characteristics of these multiple zones and the mechanisms of CO2-EOR by combining experimental results, core-scale analysis, and field-scale simulation.

Long-core CO2 displacement experiments were conducted under different miscibility pressures, with production gas assayed using gas chromatography. The core-scale simulation was aligned with the experimental results, defining four CO2 fronts to distinguish different zones based on pressure, interfacial tension, and CO2 concentration along the long core. The distribution of five zones was upscaled to the field-scale model after pilot well history matching. The final step involved evaluating the miscible zone range value, CO2 injection utilization factor, oil recovery, and CO2 storage efficiency during the CO2 injection process.

Results show that the boundary between the original oil zone and the oil transition zone exists at the CO2 component front, where the CO2 concentration is zero. Additionally, the location of the CO2 component front does not overlap with the contact interface of CO2-crude oil, meaning that the dissolution effect of CO2 in the oil transition zone results in the CO2 component front moving farther. Besides, when the formation pressure is higher than the minimum miscibility pressure (MMP), the distance between the CO2-effective phase front and the CO2-effective component front further expands as the pressure increases, enlarging the miscible zone range. The pressure accumulates around the injection well because of slow pressure conduction. When the average formation pressure reaches 1.1 MMP, the miscible zone range is enlarged by 2.7% higher than that of the near miscible flooding (0.92 MMP), leading to a higher rate of oil recovery by 8.6% and a utilization factor of CO2 by 0.14t/t.

It is for the first time that the range of five zones and the characteristics of four CO2 fronts migration is assessed, furnishing an in-depth understanding of the complicated mechanisms and phase behavior in CO2 EOR in the ultra-low permeability oil reservoir. This work contributes to providing significant information for designing an economic and environmental CO2 flooding strategy and is significant in the improvement of oil recovery and the reduction of CO2 emission.
Improving Plugging Performance during Conformance Control in Waterflood using Novel Carbon Nanocomposite-based Pickering Emulsion for Malaysian Formation
Authors: Yousufi Muhammad Mohsin , Dzulkarnain Iskandar bin , Elhaj Mysara Eissa Mohyaldinn
Published: November 2024

Low sweep efficiency during water injection besets the oil production from matured Malaysian fields undergoing waterflood operations. The water conformance issue might cause premature breakthrough in heterogeneous reservoir leading to low oil recovery. In this study, we described comprehensive experimental work to evaluate emulsion stabilized by Pickering particles as conformance control agent considering the reservoir characteristics in offshore Malaysian fields. The Pickering emulsion offers better stability in terms of resistance against mechanical and thermal changes during propagation under reservoir conditions compared to surfactant-based emulsions. In addition, emulsion due to its rheology in comparison to foam and gel have low pumping requirements with minimum chances of formation damage, providing better selective placement and ability to maneuver to deep levels of the reservoir under high temperature, salinity, and pressure conditions. In the case of conformance control applications, the particle-based emulsions provide better pore throat plugging in the high permeability thief zones mostly due to the better adsorption of Pickering particles on to the rock surface.

This study investigated an ecofriendly novel carbon nanocomposite-based Pickering emulsion designed for conformance control in harsh environments of high-temperature and salinity typical of reservoirs in Malaysian fields. The research evaluated the thermal stability, rheological behavior of the emulsion under different temperatures, and salinities. Adsorption behavior of the emulsion on sandstone rock surface was analyzed based on rock-fluid interaction via contact angle measurements. We performed core flooding test to evaluate plugging performance by determining permeability reduction stimulated by the emulsion closely mimicking reservoir conditions.

A permeability reduction of 98.2% was observed showing promising plugging performance with single pill injection and maintaining colloidal stability under dynamic conditions.

The insights from this study can be beneficial to optimize emulsion design during the development phase, leading to improved performance of the conformance control agent with the reservoir. Moreover, the newly developed, ecofriendly emulsion due to its low volume consumption and superior plugging performance can potentially enhance conformance control performance in Malaysian reservoirs by reduction excess water production and consumption, thereby reducing operational costs and increasing oil production from untapped low permeable zones.
Effects of soil saturation and suction on root reinforcement performance: pull-out experiments on six native Australian plants
Authors: Zhu Jiale , El-Zein Abbas , Hubble Thomas C.T. , Miao Guien
Published: November 2024

Improving shallow slope stability with vegetation requires an understanding of root reinforcement performance, in addition to consideration of local ecological impacts. Existing root reinforcement models have not accounted for the influence of soil water content, due to insufficient experimental evidence and theoretical understanding. In this study, the root reinforcement behaviour of six Australian native plants (A. costata, B. integrifolia, E. reticulatus, P. incisa, C. citrinus, and M. thymifolia) are examined through vertical pull-out tests under various levels of volumetric water content (VWC) and suction. Additionally, this study employed two root reinforcement models to illustrate the impact of VWC on comparing the performance of these models with experimental results. The study also employs an innovative approach by making an analogy to soil nails or piles and normalising pull-out force against the peripheral surface area of root-soil bundles, defining this as pull-out stress. The results show that VWC and suction have a strong influence on reinforcement, with an roughly linear inverse relationship observed between VWC and pull-out force of root bundles recorded for all species. The pull-out stress followed a non-linear inverse relationship with VWC and suction as the pull-out force. Furthermore, discrepancies between established-model predictions and experimental data widen with increasing VWCs. It is also found that inadequate sampling can also lead to substantial errors in estimating the actual water content of the soil. The study demonstrates that VWC and suction significantly impact root reinforcement performance, with pull-out strength decreasing as VWC increases. The study also highlights the importance of accurately recording soil water content in root reinforcement experiments and modelling.
Exogenous addition of methyl jasmonate and salicylic acid in immobilized cell cultures of Thevetia peruviana: Effect on the biomass, phenolic compounds and cardiac glycosides production
Authors: Caliz Olmedo Jesus Cuaspud , Mendoza Dary Luz , Arias Juan Pablo
Published: November 2024

Thevetia peruvianais an ornamental shrub with ethnobotanical uses related to secondary metabolites, including cardiac glycosides (CG), phenolic compounds (PC), and flavonoids (Fv). Known for its cardiac, antioxidant, anticancer, and antimicrobial activities, this study aimed to culture T. peruviana cells immobilized in calcium alginate and evaluate the effects of exogenous methyl jasmonate (MeJA) and salicylic acid (SA) on biomass and metabolite production. Immobilization was performed with 3% (w/v) sodium alginate and 100 mM CaCl₂ in Schenk and Hildebrandt medium. Cultures were maintained for 20 days, reaching a maximum biomass concentration of 7.45 ± 0.49 g/L on day 10, compared to 13.92 ± 0.34 g DW/L in free cell cultures. Immobilization reduced biomass concentration but increased the production of secondary metabolites at 10-11 days. This suggests that the alginate matrix acts as an abiotic stress factor, directing carbon consumption and energy flow toward the biosynthesis of PC, Fv, and CG. Additionally, treatment with SA (300 µM) and MeJA (3 µM) during the exponential phase increased metabolite secretion at 48-72 hours post-elicitation. SA-treated cultures showed PC, Fv, and CG levels 2.24, 1.66, and 1.37 times higher than controls, respectively, while MeJA increased these levels by 1.24, 1.83, and 1.25 times. Exogenous SA and MeJA stimulate the biosynthesis of secondary metabolites in calcium alginate-immobilized T. peruviana cells; and facilitate the diffusion of metabolites into the extracellular medium. However, further studies are needed to validate this hypothesis.
WITHDRAWN: Preparation and Evaluation Gluten Free pasta
Authors: Hussein Ahmed M.S. , Shedeed Naglaa A. , Mostafa Sayed , Kamil Mohie M. , Mostafa Mona Y. , Hegazy Nefisa A.
Published: November 2024

The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Impact of educational intervention dental students’ competence in managing injuries caused by sharp objects: A quasi-experimental study
Authors: Zarabadipour Mahdieh , Gholizadeh Negar , Mirzadeh Monirsadat , Khorasani Erfan
Published: November 2024

Introduction and aims: Sharp body injuries commonly occur during dental procedures. Diseases transmitted in this way are among the most common infectious and dangerous diseases. Since training related to this issue is provided at the university, in this study, we examined the level of knowledge, attitudes, and practice habits of Qazvin dental students while such injuries are encountered and their changes after an educational intervention.
Methods: In this before-after study that included all dental students in clinical courses (DDS 22’–DDS 25’), their knowledge, attitudes, and practice habits regarding sharp object injuries were assessed using a questionnaire designed by the authors. It contained 34 questions: 10 on knowledge, 7 on attitudes, and 17 on practice habits. The educational video was shown immediately after completing the questionnaire, and then after a 2-week interval, it was answered again. Data were analyzed using SPSS 26, with chi-square and one-way analyses of variance.
Results: Eighty-seven students completed the questionnaires before and after the educational intervention. This study revealed significant differences in immediate post-injury performance knowledge (P = 0.001), PEP (P = 0.025), and capping (P = 0.001). However, there was no statistically significant difference in the extent of the injury with a sharp object based on sex or age. There was a significant relationship between the students’ year of university entry and their extent of injury with a sharp object (P = 0.025). Most of students (67.8%) did not know how to function properly after a sharp object injury, and the highest percentage of sharp object injuries occurred during the 7th semester. Additionally, 60.7% of the students did not report their injuries.
Conclusions: Dental students are among the most vulnerable groups of healthcare workers. Educational content, particularly visual aids, can enhance dental students' knowledge of reporting sharp object injuries, accident management, and post-exposure prophylaxis.
Fe/N/C Catalysts with Hierarchical Porous Structure Derived from Fe-doped ZIF-8 for Accelerated ORR Activity
Authors: Li Kaixiang , Zhao Jinyu , Yuan Ruipeng , Chen Jiajun , Li Huijun , Wang Xiaomin
Published: November 2024

Fe-N-C is considered to be the most promising candidate for catalyzing oxygen reduction reaction (ORR), and its large-scale development is crucial to reducing the cost of proton exchange membrane fuel cells (PEMFCs). However, its simple and efficient synthesis still faces great challenges, and the microstructure changes in the pyrolysis process are not clear. Herein, we report a high-performance Fe-N-C catalyst, which is produced from the high temperature pyrolysis of Fe-doped ZIF-8 precursor. The effect of pyrolysis temperature on the specific surface area, porous structure and graphitization level of Fe-N-C catalyst is systematically studied. Eminently, Fe-N-C 1000, which was obtained via pyrolysis of Fe-ZIF-8 at 1000 °C, possesses highly dispersed Fe-N4 active sites on the high surface area polyhedral, ensuring the high intrinsic activity. The simultaneous hierarchically ordered porous architecture provides a wealth of mass transfer channels to improve dynamic performance. It exhibits an outstanding ORR activity in acidic solution (E1/2 of 0.791 V). High graphitization also enhances its corrosion resistance, showing superior stability (only change 20 mV after 5000 cycles in 0.5M H2SO4). This work well demonstrates the importance of establishing the structural equilibrium of the catalyst under pyrolysis conditions for efficient ORR.
predict bipolar disorder by using graph theory, cortical volume, and machine learning
Authors: Ruhi Miysam , Hassani-Abharian Peyman
Published: November 2024

Bipolar disorder diagnosis(BPD) is associated with great imprecision and uncertainty and requires a reliable diagnostic measure. Recently, machine learning techniques, named support vector machine (SVM), random forest, and K-nearest neighbor (KNN), have been combined with neuroimaging methods to help diagnose BPD. This study aimed to predict BPD using SVM, RF, and KNN classifier models based on graph theory values ​​of the whole brain's global function and gray matter volume using the data integration method.
Methodology: In this study, we used data from 49 patients with bipolar disorder and 49 healthy. In this method, we used the global efficiency scale and brain gray matter volume for integration into the concatenation method.
Results: For the combined dataset, the SVM model had an accuracy of 0.85, a sensitivity of 0.92, and a specificity of 0.78, The random forest model had an accuracy of 0.89, a sensitivity of 0.88, and a specificity of 0.91; the KNN model had an accuracy of 0.82, a sensitivity of 0.84, and a specificity of 0.80. In the global-efficiency dataset, the SVM model had an accuracy of 0.85, a sensitivity of 0.82, and a specificity of 0.87; The random forest model had an accuracy of 0.82 a sensitivity of 0.78, and a specificity of 0.86; The KNN model has an achieved of 0.78, a sensitivity of 0.79, and a specificity of 0.81. In the gray matter volume dataset, all three models (SVM, Random Forest, and KNN) performed similarly, with accuracies, sensitivities, and specificities ranging from 0.51 to 0.52.
The results show that the combined gray matter and global-efficiency data group yielded the highest accuracy for all three models. The random forest model consistently performed well on all datasets and demonstrated robustness when handling brain imaging data. However, note that the performance of the models varies depending on the data type used. Therefore, model selection should be tailored to the specific characteristics of the given dataset.
The Effect of Enterprise Digital Transformation on Supply Chain Efficiency and Its Transmission Mechanism
Authors: Shang Luhui , Zhen Yongqi
Published: November 2024

With the wide application of digital construction in numerous fields, digital transformation has gradually brought advantages to enterprises, such as sharing data, optimizing processes, improving efficiency and reducing operating costs. Based on the data of A-share listed enterprises in China from 2019 to 2022, this paper explores the impact of digital transformation on supply chain efficiency and its transmission mechanism. It is found that the digitalization for enterprises can effectively improve their supply chain efficiency. To be more specific, the transmission mechanism indicates that the digital progress improves the efficiency of supply chain by enhancing enterprises’ management level. Moreover, Customer concentration plays a negative during this process, and heterogeneity analysis demonstrates that the impact of digital progress on supply chain efficiency is more significant in supply chain sensitive industries and large enterprises. This paper not only enriches the research on digital transformation and supply chain efficiency, but also provides empirical evidence for enterprises to promote digital transformation, improve supply chain efficiency and further achieve sustainable development.