bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ridgecrest Aftershock Stress Drops from P- and S-Wave Spectral Decomposition
Authors: Vandevert Ian C. , Shearer Peter M. , Fan Wenyuan 
Published: November 2024

ABSTRACT
Seismic moment and stress drop are crucial for understanding earthquake rupture processes, but their estimates often have large uncertainties for small earthquakes. Stress drop is typically inferred from an earthquake’s source spectrum based on theoretical models, but poorly constrained path corrections and other modeling assumptions limit the accuracy of stress-drop estimates. Here, we compute stress drops using both P and S waves for the 2019 Ridgecrest earthquake sequence, compare their estimates, and evaluate the associated uncertainties. We use spectral decomposition and apply the analysis to both types of waves for the same set of earthquakes, adjusting some S-wave parameter choices to obtain overall consistency with our P-wave results. Our approach fixes the corner frequency of small calibration earthquakes to reduce scatter in the estimated source parameters of the larger earthquakes. We find that assuming a lower high-frequency fall-off rate for S waves yields more consistent absolute stress-drop estimates between P and S waves. Our stress-drop estimates appear to increase slightly with magnitude for earthquakes with magnitudes &gt;∼3.4. Furthermore, we find that the stress-drop estimates using both types of data exhibit coherent spatial variations. Earthquakes near the Coso geothermal field tend to have lower stress drops, and earthquakes near the M 7.1 hypocenter have higher stress-drop estimates. This spatial pattern is consistently observed in both the P- and S-wave results. We find no strong correlation between our stress-drop estimates and the M 7.1 Ridgecrest earthquake slip distribution, suggesting a heterogeneous stress environment for the Ridgecrest fault system.
Psychologia żałoby
Authors: Gross Richard , Piszczek Katarzyna 
Published: November 2024

Co dzieje się w naszej sferze emocjonalnej, kiedy opłakujemy bliską osobę? Czy istnieje „właściwy” sposób przeżywania żałoby? Jak wpływa ona na to, jak postrzegamy samych siebie?
Psychologia żałoby zawiera humanistyczne wyjaśnienie tego zjawiska, podkreślające szeroką gamę naszych reakcji na śmierć bliskiej osoby. W książce opisano również, w jaki sposób badacze poszukiwali odpowiedzi na pytania dotyczące tego doświadczenia. Począwszy od pionierskiej psychoanalizy Freuda, a skończywszy na dyskredytowanych twierdzeniach, że powinniśmy przejść przez poszczególne „etapy” żałoby, odkryjemy społeczne i kulturowe normy tworzące lub ograniczające nasze rozumienie procesu żałoby oraz przyjrzymy się językowi, jakiego używamy do jej opisywania.
Każdy w którymś momencie życia doświadcza bolesnej straty. Psychologia żałoby pomoże Czytelnikom zrozumieć zarówno swoje uczucia, jak i uczucia innych osób związane z żałobą.
Unraveling The Impact of Feed Protein Content on Catfish (Clarias sp.) Growth, Survival, Meat Quality and Gastrointestinal Histology
Authors: Septriani Nur Indah , Nizma Nata Dwi Annisa , Paramita Pradnya 
Published: November 2024

Catfish is a highly favored source of protein in Indonesia. Catfish farming can be carried out using various types of feed and methods. This research aims to determine the effect of two types of fish feed with high (24%) and low (4%) protein content on several aspects of catfish cultivated using the pond/bucket culture method. The methods include catfish maintenance, physicochemical measurement, morphometric measurements, survival rate measurements, proximate testing, and histological preparations of catfish intestines and stomach. The results show that the TDS and pH values in the high-protein feed are higher than in the low-protein feed, while the temperature fluctuates. At the end of the observation, there is a significant difference in the morphometry of catfish fed with high-protein feed, where the body weight, head width, and body length are higher. The difference in body weight of catfish fed with high-protein feed is significantly higher (119.58±16.72 g) compared to those fed with low-protein feed (52.20±4.80 g). The average number of surviving catfish fed with high-protein feed is lower (27.60±8.23 fish) compared to the other group (44.00±2.55 fish). Proximate testing indicates that catfish meat with high-protein feed also has higher protein, fat, and carbohydrate content. Histological analysis shows that catfish with high-protein feed have longer villi and higher number of goblet cells, while the length of the gastric pits is lower. This research demonstrates that high-protein feed has an impact on fish quality, while ensuring water quality to reduce catfish mortality rates in catfish pond culture.
Vízirovarok polarizációérzékelése, poláros ökológiai csapdák
Authors: Kriska György 
Published: November 2024

Az áttekintő tanulmányban bemutatott kutatások egyrészt új adatokat eredményeztek különböző vízirovartaxonok polarizációérzékelésével és ennek biológiai szerepével kapcsolatban, másrészt bemutatták különböző mesterséges poláros fényforrások és polarizációs mintázatok vízirovarokra kifejtett hatásait. Az első részben ismertetett kutatások a kérészek (Ephemeroptera), a szitakötők (Odonata), az árvaszúnyogok (Chironomidae) és a bögölyök (Tabanidae) körében tártak fel olyan fénypolarizáció-érzékelésen alapuló viselkedésformákat, amelyek meghatározó szerepet töltenek be az egyes taxonok túlélésében. A második tematikai egységbe sorolt kutatások nyomán vált egyértelművé, hogy a polarotaktikus vízirovarok tojásrakásra sokszor a vízfelszínnel szemben előnyben részesítenek olyan, élőhelynek teljesen alkalmatlan mesterséges felületeket, melyek erősen és vízszintesen poláros fényt vernek vissza. Az ilyen mesterséges felületek közelében gyakorta megfigyelhető szembeszökő mértékű rovarpusztulás fontos szerepet játszott az ökológiai csapda fogalmának tudományos meghatározásában. Az ökológiai csapdák speciális formája a vízirovarokat fenyegető poláros fényszennyezés, melynek tipikus forrásai a kőolaj- és pakuratavak, az aszfaltutak, a mezőgazdaságban használatos fekete műanyag fóliák, az üvegházak és épületek üvegfelületei, az autók karosszériája, fekete sírkövek, a napelemek és napkollektorok. Ha egy polarotaktikus vízirovar választhat e vízszintesen polarizáló felületek és egy vízfelület között, akkor az előbbiek szupernormális polarizációs jele miatt nem a vizet választja. E jelenségnek a feltárása vezetett el az ökológiai fényszennyezés egy új válfajának, a poláros fényszennyezésnek a felismeréséhez és meghatározásához.
Az ember általi környezet-átalakítás és az ivarváltás evolúciós ökológiája kétéltűeknél
Authors: Bókony Veronika 
Published: November 2024

Napjainkban az ökológia, az evolúcióbiológia és a természetvédelem számára kiemelkedően fontos azoknak a biológiai változásoknak a megértése, amelyek révén az élőlények megbirkóznak az ember általi környezet-átalakítás kihívásaival. Dolgozatom ezt a kérdéskört vizsgálja a változó testhőmérsékletű gerinces állatok, azon belül is elsősorban a kétéltűek szempontjából, melyeknek számos faja veszélyeztetett. A dolgozatban áttekintett kísérletek és terepi megfigyelések sora igazolta, hogy a kémiai környezetszennyezésnek kitett területeken élő barnavarangy-populációk az ember által átalakított környezetre számos élettani változással reagálnak, melyek hatékonyabb védekezést tesznek lehetővé a környezeti stresszhatásokkal szemben. Kiderült továbbá, hogy az erdei béka hazai populációiban, különösen a városi és mezőgazdasági területeken gyakori az ivarváltás, azaz a genetikailag nőstény egyedek egy része hím fenotípusú. Ennek oka részben a hőhullámokban keresendő, és a hőség által indukált ivarváltás a rátermettség csökkenésével jár együtt. Emellett az elméleti modellezéssel végzett vizsgálataink kimutatták, hogy az ivarváltás bekövetkezésének esélye, valamint populációdinamikai és evolúciós következményei függenek az ivari kromoszómák típusától és a párválasztási preferenciáktól. Ezek az eredmények rávilágítanak a kémiai környezetszennyezés, a klímaváltozás és a városi hősziget-effektus potenciális következményeinek sokrétűségére, amelyek különös mértékben fenyegetik a környezeti hatásokra érzékeny ivari fejlődésű állatfajok fennmaradását.
The 2024 American Orthopaedic Association-Japanese Orthopaedic Association Traveling Fellowship
Authors: McDonald Lucas S. , Hynes Kelly K. , Parry Joshua A. , Stephens Byron F. , Schwab Joseph H. 
Published: November 2024

Abstract:
In 1992, the American Orthopaedic Association-Japanese Orthopaedic Association (AOA-JOA) Traveling Fellowship was created to develop and enhance collaboration between the Japanese and American orthopaedic communities. The fellowship is geared to early-career surgeons and fosters clinical and cultural exchange between members of the 2 countries. In 2024, the fellows hailed from around the United States: Kelly K. Hynes, Lucas S. McDonald, Joshua A. Parry, Joseph H. Schwab, and Byron F. Stephens all participated in the program. During the 3-week fellowship, the fellows visited 8 academic centers across Japan and attended the JOA Annual Meeting in Fukuoka. This experience was incredibly rewarding, both clinically and professionally, and all the fellows returned home with novel ideas for their clinical practices.
Enhancing Safety Data Analysis Through Machine Learning Models
Authors: Kazbekova K. , Zhakhongir Karimzhanov , Akerke Makhmut 
Published: November 2024

Abstract
Currently, there is a positive trend in the oil and gas industry worldwide, including Kazakhstan, in the directions of digitizing processes and ensuring occupational safety. As a result, we have a large volume of the data, the potential of which is often not fully realized. The second derivative of improvements in occupational safety is the exponential increase in task complexity as we approach the coveted goal of incidents. In other words, achieving each subsequent safety metric requires making increasingly complex decisions.
We observe how two curves—the demand curve and the opportunities curve—intersect at this point, which is now. The main goal of the study is to develop a solution that unlocks the potential of the collected data and applies it to make those very complex decisions. This can be achieved by uncovering non-obvious, complex interdependencies, causal relationships, and behavioral patterns.
The research focuses on centralizing safety related data to ensure its accuracy for predictive, prescriptive, and diagnostic analysis. The main goal is to anticipate and predict incidents by leveraging historical incident data along with regular observations and planned works.
Aggregating information from various sources such as incident reports, work permits, and safeguards field verification is essential for constructing a holistic view of safety outcomes. By combining these datasets, we gain a deeper understanding of the factors influencing safety and risk management.
Advantages of a Staged Approach in Horizontal Well Clean-Up
Authors: Yermekbayeva Z. , Yessaliyeva-Gozukara A. , Williams D. , Bopbekov D. , Yudin K. , Utebaeva D. , Oryngaliyev K. , Tlepbergenov N. , Berdibekov A. , Kussanov I. , Chalak A. 
Published: November 2024

Abstract
This paper outlines the planning and assessment of a multi-staged clean-up strategy in a horizontal well, post-drilling. The strategy strikes a balance between efficient well clean-up from drilling and stimulation fluids and the risk of coiled tubing stress cracking. The staged clean-up approach, conducted from the toe to the heel of the long lateral horizontal well, allowed us to perform uniform and gradual clean-up process along the entire horizontal length.
In the pursuit of optimizing horizontal well clean-ups, the implementation of a staged approach presents significant advantages over a single stage clean-up. The staged clean-up process is particularly beneficial in scenarios where flow dynamics favor the heel portion of the well. This could lead to future issues when the toe portion of the well starts contributing after downhole pressure/flow dynamics balance, potentially causing plant upsets due to the flowback of unrecovered drilling and stimulation fluids. This method involves the sequential opening and clean-up of sleeves, commencing from the toe to the heel, which ensures a thorough and efficient removal of drilling and acid stimulation fluids.
The introduction of the horizontal well clean-up technique, spanning a total length of 2 km with 23 sleeves, marked a first for the organization. It necessitated extensive planning and alignment meetings due to the lack of initial operational implementation experience, the high costs associated with Schlumberger's Management of Residuals Materials (MRM) unit deployment, and the challenges posed by shifting tools such as coiled tubing and tractors in a high H2S environment, where coiled tubing's corrosion resistance could be compromised.
The logic of the three-staged MRM clean-up proposal was driven by reservoir characteristics and the strategic grouping of sleeves to prioritize zones of lower quality. The procedure also incorporated well sweetening and inhibitors pumping to maintain the integrity of the coiled tubing. Continuous well-head samples were collected to monitor the recovery of drilling and stimulation fluids. The well clean-up operations were successful, achieving their objectives by effectively recovering most of the drilling and stimulation fluids. The coiled tubing was used efficiently without encountering any integrity issues.
The data gathered from each clean-up stage offered valuable insights into well productivity and played a crucial role in shaping the design of subsequent stimulation interventions. This demonstrates the effectiveness of the staged clean-up approach in not only ensuring a thorough clean-up but also in providing critical data for future operations.
A Systematic Approach of Bottomhole Pressure History Matching for the Giant Carbonate Kashagan Field
Authors: Madalimov Medet , Dachang Li , Thaddeus Ehighebolo Ivbade , Yerkinbek Dair 
Published: November 2024

Abstract
Kashagan field contains complex geologic features with complex flow phenomena near bottomholes, e.g., well productivity index (PI) and injectivity index (II) are time-dependent (well scaling, workover, and stimulations etc.) and/or rate-dependent (RD geomechanics/turbulence). Using the built-in functions of commercial simulators cannot give satisfactory solutions for the field. This paper proposes a systematic approach for bottomhole pressure history matching that is automated and capable to handle rate-dependent PI(RDPI) for producers and rate-dependent II(RDII) for injectors.
After achieved acceptable history match qualities on static pressure/GOR/Water-cut for the Kashagan field, the next step of the history match process was to do bottomhole pressure (BHP) match. There were two major challenges during BHP history match. The first one was time-dependent skin caused by bottomhole environment changes, e.g., well scaling, workovers, and stimulations. Traditionally, a time-consuming, trial-and-error process was used to match BHPs. The second challenge was well RDPI and RDII that may cause significant BHP mismatches in trend. RDPI for producers can decrease as production rate increases while RDII for injectors can increase or decrease as injection rate increases depending on in a geomechanic flow regime or turbulent flow regime. In the most commercial simulators, non-Darcy’s flow function for RDPI is only available for gas producers rather than oil producers while RDII cannot be handled satisfactorily for gas injectors. In this situation, the team created an automated skin adjustment Python script to help BHP HM time reduction. Meanwhile, the team also created new RDPI/RDII non-Darcy’s equations and Python scripts implemented as an additional build-in function. Using the Python scripts for the automated skin adjustment, RDPI, and RDII has significantly improved BHP match efficiency (minutes vs days/weeks) and accuracy (satisfactory trends).
A Comprehensive Study of the Various Stimulation Fluids Deployed in HPHT Reservoirs
Authors: Nurlybayev N. , Yudin A. , Bulekbay A. , Jalil R. , Ghazwi M. , Farouk M. , Al-Jalal Z. , Hadyani F. Al 
Published: November 2024

Abstract
This paper presents a comprehensive study of the various stimulation fluids implemented worldwide in terms of their effectiveness, the advantages and disadvantages of the fluids in comparative analyses. Furthermore, the study highlighted the challenges related to the utilization of these fluids and their further development.
The research employed a multi-faceted approach of collecting, analyzing, and interpreting data from multiple sources. This included an extensive review of available literature and records, lab testing and a close examination of stimulation fluid samples. To further gain an understanding of the fluids’ efficacy, field testing was conducted in the laboratory setting and onsite in the field. Various data were gathered and analyzed for a comprehensive assessment of the different stimulation fluids in more than thousands of treatments, using artificial intelligence tools. Finally, these results were analyzed to come up with the optimal stimulation fluids for use in particular geological conditions.
The most common fluid systems are gelled HCl acid, emulsified acid systems, different variations of viscoelastic surfactant-based systems, nitrogen and carbon dioxide-based foamed fluids, crosslinked fluid systems, relative permeability modifiers, and others. Additionally, the study found that there were both advantages and disadvantages associated with each fluid in terms of efficiency, application features, and performance. The study categorizes different fluid systems based on formation type, temperature, depth, treatment type, and other factors. As an example, the carbon dioxide-foamed acid-based fluid system is found to be an effective fluid system to stimulate tight HPHT-depleted formations improving stimulation fluid recovery by up to 40% and increasing initial productivity by 17%. Furthermore, proper water management strategies and environmental considerations must be taken into consideration to ensure further successful utilization.
The effectiveness of the various stimulation fluids varies greatly and therefore careful consideration must be taken before selecting the optimal fluid using artificial intelligence tools. The research outcome provides a comprehensive decision tree and categorization workflow for fluid selection, addressing various well and geological challenges. Petroleum engineers would find this article valuable when selecting the appropriate fluid for treatment.
Tengizchevroil Well Unloading Challenges and Best Practices at Higher Gathering System Pressure
Authors: Bekov S. , Kuatov A. , Oryngaliev K. , Nurmukhanbetov A. , Kamispayev A. 
Published: November 2024

Abstract
The objectives of the paper are to present well start-up (SU) challenges that Tengizchevroil (TCO) experienced operating at high pressure gathering system in the last 3-5 years and to discuss the established strategies that were used to overcome these challenges to optimize production on daily basis. Additionally, the paper reviews the production strategies that were used to efficiently manage relatively low-rate wells that were produced in a cycling fashion due to loading tendencies.
Well SU recommendations are generally prepared by carefully considering several key factors, such as static reservoir pressure, flowline (FL) volume, gathering system back pressure, and wellbore fluid gradient. By analyzing historical SU attempts of differently conditioned wells, specific thresholds or minimum requirements were established in connection with abovementioned factors. Each of these factors can be improved to maximize a well’s SU chance; for example, a smaller FL volume can be artificially increased at meter station (MS) side, or its FL pressure (back pressure) might be lowered. Furthermore, if there is still a low confidence on a particular well SU, a nitrogen injection can be performed to decrease fluid gradient in wellbore and subsequently maximize a well’s SU chance. Finally, other key nuances impacting well unloading were also considered, such as choke opening strategy to prevent choke plugging and reduction of MS pressure for a short time to ensure a full well SU.
TCO managed to efficient SU more than 300 wells on annual basis in last 3-5 years without any safety incidents. Each SU attempt was carefully reviewed and did not proceed until potential wellsite risks had not been mitigated to an acceptable level. With the established strategies, more than 85-90% of all SU attempts had been successful, and wells were returned into production after scheduled shutdown (SD) activities. Poorly planned SD activities might easily cause unnecessary and repetitive SU attempts and subsequently unplanned well downtimes. Such situations might cause up to $100,000-$500,000 production impact due to unavailability of surplus production from field at certain times in addition to unnecessary potential safety risks and extra greenhouse gas emissions emitted from repetitive SU attempts.
This paper summaries challenges, best practices, lessons learnt, some established planning strategies and well loading prediction strategies that are used to optimize and efficiently manage more than 150 producing well stock before TCO will fully switch to low pressure gathering system. The described well SU strategies can be used in other fields and prevent potential LPOs (Loss of Production) at certain situations.
Artificial intelligence-enhanced diagnosis of temporomandibular joint osteoarthritis using temporomandibular joint panoramic radiography and joint noise data
Authors: Choi Eunhye , Shin Seokwon , Lee Kijin , An Taejin , Lee Richard K. , Kim Sunmin , Son Youngdoo , Kim Seong Teak 
Published: November 2024

Abstract

This study aimed to develop an artificial intelligence (AI) model for the screening of temporomandibular joint osteoarthritis (TMJ OA) using temporomandibular joint (TMJ) panoramic radiography and joint noise data. A total of 2,631 TMJ panoramic images were collected, resulting in a final dataset of 3,908 images (2,127 normal (N) and 1,781 TMJ OA (D)) after excluding indeterminate cases and errors. AI models using GoogleNet were evaluated with six different combinations of image data, clinician-detected crepitus, and patient-reported joint noise. The model that integrated all joint noise data with imaging, demonstrated the highest performance, achieving an F1-score of 0.72. Another model, which incorporated both imaging and crepitus, also achieved the same F1-score but had lower D recall (0.55 vs. 0.67) and N precision (0.71 vs. 0.74). The AI models outperformed orofacial pain specialists when provided with imaging alone or in combination with all joint noise data. These findings suggest that AI-enhanced TMJ OA diagnosis using TMJ panoramic radiography and joint noise data offers a promising approach for early detection and improved patient care. The results underscore AI's capability to integrate diverse diagnostic factors, providing a comprehensive and accurate assessment that surpasses traditional methods.