bluuebunny/crossref_metadata_2025_split huggingface dataset:
SaLSa: A Combinatory Approach of Semi-Automatic Labeling and Long Short-Term Memory to Classify Behavioral Syllables
Authors: Sakata Shuzo 
Published: November 2023

AbstractAccurately and quantitatively describing mouse behavior is an important area. Although advances in machine learning have made it possible to track their behaviors accurately, reliable classification of behavioral sequences or syllables remains a challenge. In this study, we present a novel machine learning approach, called SaLSa (a combination of semi-automatic labeling and long short-term memory-based classification), to classify behavioral syllables of mice exploring an open field. This approach consists of two major steps. First, after tracking multiple body parts, spatial and temporal features of their egocentric coordinates are extracted. A fully automated unsupervised process identifies candidates for behavioral syllables, followed by manual labeling of behavioral syllables using a graphical user interface (GUI). Second, a long short-term memory (LSTM) classifier is trained with the labeled data. We found that the classification performance was marked over 97%. It provides a performance equivalent to a state-of-the-art model while classifying some of the syllables. We applied this approach to examine how hyperactivity in a mouse model of Alzheimer’s disease develops with age. When the proportion of each behavioral syllable was compared between genotypes and sexes, we found that the characteristic hyperlocomotion of female Alzheimer’s disease mice emerges between four and eight months. In contrast, age-related reduction in rearing is common regardless of genotype and sex. Overall, SaLSa enables detailed characterization of mouse behavior.
A Novel Flp Reporter Mouse Shows That TRPA1 Expression Is Largely Limited to Sensory Neuron Subsets
Authors: Patil Mayur J. , Kim Seol-Hee , Bahia Parmvir K. , Nair Sanjay S. , Darcey Teresa S. , Fiallo Jailene , Zhu Xiao Xia , Frisina Robert D. , Hadley Stephen H. , Taylor-Clark Thomas E. 
Published: November 2023

AbstractTransient receptor potential ankyrin 1 (TRPA1) is a polymodal cation channel that is activated by electrophilic irritants, oxidative stress, cold temperature, and GPCR signaling. TRPA1 expression has been primarily identified in subsets of nociceptive sensory afferents and is considered a target for future analgesics. Nevertheless, TRPA1 has been implicated in other cell types including keratinocytes, epithelium, enterochromaffin cells, endothelium, astrocytes, and CNS neurons. Here, we developed a knock-in mouse that expresses the recombinase FlpOin TRPA1-expressing cells. We crossed theTRPA1Flpmouse with theR26ai65fmouse that expresses tdTomato in a Flp-sensitive manner. We found tdTomato expression correlated well with TRPA1 mRNA expression and sensitivity to TRPA1 agonists in subsets of TRPV1 (transient receptor potential vanilloid receptor type 1)-expressing neurons in the vagal ganglia and dorsal root ganglia (DRGs), although tdTomato expression efficiency was limited in DRG. We observed tdTomato-expressing afferent fibers centrally (in the medulla and spinal cord) and peripherally in the esophagus, gut, airways, bladder, and skin. Furthermore, chemogenetic activation of TRPA1-expressing nerves in the paw evoked flinching behavior. tdTomato expression was very limited in other cell types. We found tdTomato in subepithelial cells in the gut mucosa but not in enterochromaffin cells. tdTomato was also observed in supporting cells within the cochlea, but not in hair cells. Lastly, tdTomato was occasionally observed in neurons in the somatomotor cortex and the piriform area, but not in astrocytes or vascular endothelium. Thus, this novel mouse strain may be useful for mapping and manipulating TRPA1-expressing cells and deciphering the role of TRPA1 in physiological and pathophysiological processes.
Recognition of centromere‐specific histone Cse4 by the inner kinetochore Okp1‐Ame1 complex
Authors: Deng Sunbin , Cai Jiaxi , Harrison Stephen C , Zhou Huilin , Hinshaw Stephen M 
Published: November 2023

AbstractSuccessful mitosis depends on the timely establishment of correct chromosomal attachments to microtubules. The kinetochore, a modular multiprotein complex, mediates this connection by recognizing specialized chromatin containing a histone H3 variant called Cse4 in budding yeast and CENP‐A in vertebrates. Structural features of the kinetochore that enable discrimination between Cse4/CENP‐A and H3 have been identified in several species. How and when these contribute to centromere recognition and how they relate to the overall structure of the inner kinetochore are unsettled questions. More generally, this molecular recognition ensures that only one kinetochore is built on each chromatid and that this happens at the right place on the chromatin fiber. We have determined the crystal structure of a Cse4 peptide bound to the essential inner kinetochore Okp1‐Ame1 heterodimer from budding yeast. The structure and related experiments show in detail an essential point of Cse4 contact and provide information about the arrangement of the inner kinetochore.
Catastrophic Sports Injuries
Authors: Boden Barry P. , Anderson Scott A. , Sheehan Frances T. 
Published: November 2023

➤ Catastrophic injuries in U.S. high school and college athletes are rare but devastating injuries.➤ Catastrophic sports injuries are classified as either traumatic, caused by direct contact during sports participation, or nontraumatic, associated with exertion while participating in a sport.➤ Football is associated with the greatest number of traumatic and nontraumatic catastrophic injuries for male athletes, whereas cheerleading has the highest number of traumatic catastrophic injuries and basketball has the highest number of nontraumatic catastrophic injuries for female athletes.➤ The incidence of traumatic catastrophic injuries for all sports has declined over the past 40 years, due to effective rule changes, especially in football, pole-vaulting, cheerleading, ice hockey, and rugby. Further research is necessary to reduce the incidence of structural brain injury in contact sports such as football.➤ The incidence of nontraumatic catastrophic injuries has increased over the last 40 years and requires additional research and preventive measures. Avoiding overexertion during training, confirming sickle cell trait status in high school athletes during the preparticipation physical examination, and developing cost-effective screening tools for cardiac abnormalities are critical next steps.
Permeability Dependence of a Sand Packed Tube on the Type of Fluid and Grains Sorting
Authors: Sagirov R. N. , Bolotov A. V. , Varfolomeev M. A. , Derevyanko V. K. , Tazeev A. R. , Minkhanov I. F. , Tuktarov R. F. , Demchenkov D. V. 
Published: November 2023

Abstract
Rock permeability depends on the type of a fluid, the type of a reservoir, and many other factors. The object of study was a sand packed tube with sieved sand, which was affected by a hydraulic press with different loads In this article, the authors described the dependence of several parameters on the sorting of grains and a correlation coefficient determined: for absolute gas permeability – 0.964, porosity −0.958, permeability for distilled water −0.935, permeability for highly mineralized water −0.935, phase permeability and displacement efficiency. The results of the research show a direct dependence of all the parameters on the sorting of grains. The distraction of grains under different loads was shown by microscopic and sieve analysis. With increasing of load the content of less-size grains increases from 0 to 14 per cent. During the experiment, an effect was observed that had never been previously described in literature. The effect is that once the maximum destruction of the grains has been reached, the permeability of distilled water becomes higher than the permeability of mineralized water difference in permeability is about 60 per cent.
Binary Mixture Thermo-Chemical (BiMTheCh) Technology for Development of Low-Permeable Formations of Oil Fields in Caspian Sea
Authors: Koochi M. Rezaei , Rojas A. , Varfolomeev M. A. , Khormali A. , Lishcuk A. N. 
Published: November 2023

Abstract
Binary mixture thermo-chemical (BiMTheCh) technology refers to energy-releasing chemicals which can be injected into the reservoir with in-situ generation of heat, nitrogen and carbon dioxide. As laboratory investigations show, BiMTheCh or thermochemical fluid has proved to be a highly effective technology for stimulation of oil wells with heavy oil and low permeability.
In this work, the feasibility of this technology for stimulation of brown fields from laboratory to field scale is investigated. First, on the laboratory scale, thermobaric parameters of the reaction were studied to optimize the composition of injecting chemicals. And finally, the optimized composition is applied to enhance oil recovery from low permeable reservoirs in Russia.
Laboratory results show that BiMTheCh can be used for removing asphaltene and resin from near borehole zone by melting them. Generated gases after the reaction create a network of fractures in the vicinity of the reaction zone and simultaneously, by inducing a thermobaric shock, cracks oil molecules and upgrades oil directly into the reservoir. Oil field data in 5 wells shows that oil production increased 2-3 folds with a duration of 12 months or more.
BiMTheCh can be used for stimulation of green and brown fields with a high efficiency in a safe rig-less mode.
Gel System for Water Shut-Off Operations in Oil Wells
Authors: Suleimanov B. A. , Gurbanov A. Q. , Tapdigov Sh. Z. 
Published: November 2023

Abstract
This study presents a new approach to creating a cost-effective thermally active formulation using readily available raw materials, including a gelation initiator and a gel-forming agent solution, designed for water shut-off applications. The innovation lies in the ability to customize the gelation time to match the well's specific conditions by adjusting the molar ratio and temperature. The proposed method involves introducing a thermally active blend of gel-forming initiator and gelling agent solutions to prevent water inflow into wells. Optimal concentrations for the mixture components were identified as 10-12% for the gel initiator and 9-10% for the gel-forming agent. Furthermore, the research revealed that escalating the temperature from 20 °C to 60 °C led to a remarkable 5-6-fold reduction in gelation time. At temperatures surpassing 60 °C, gel formation was achieved within 1-2 hours. Experiments conducted on both carbonate and sandstone reservoir models unveiled that the highest displacement efficiencies (%) were attained with the injection of a freshly prepared mixture (12.2% and 14.3% respectively). Notably, oil sweeping trials highlighted the superior efficiency of the newly devised method for water shut-off, using the thermally active gelling agent, surpassing the performance of established compositions in terms of technological effectiveness.
A Methodology for Assessing and Improving the Capacity of CO2 Injection in Saline Aquifers
Authors: Askoul Y. , Patil T. , Samy A. 
Published: November 2023

Abstract
Carbon capture and storage (CCS) is recognized as one of the key strategies to mitigate greenhouse gas emissions and tackle climate change. In CCS, carbon dioxide (CO2) is captured from industrial processes, compressed, and injected into geological formations, such as saline aquifers, for long-term storage. However, the success of CCS depends on the capacity of geological formations to store CO2 safely and securely. As saline aquifers form one of the potential known geological storage, evaluating the capacity reliably early in time is valuable. This paper presents a methodology for assessing the CO2 capacity using a material balance approach and comparing the results with dynamic simulation in order to define if an early reliable estimation is possible.
The methodology includes four main steps: (1) data collection and analysis, (2) reservoir characterization understanding, (3) modelling and simulation, and (4) sensitivity analysis and optimization.
The first step involves collecting and analysing data on the reservoir and injection operations, such as geological and hydrogeological parameters, reservoir pressure, and injection rate. The second step focuses on characterizing the saline aquifer using geological data. The third step involves developing a material balance model to simulate the injection and storage of CO2 in the aquifer, then compared to the dynamic simulation. The fourth step involves performing sensitivity analysis and optimization to evaluate the impact of different parameters on CO2 storage capacity, including operating condition, injection pressure and rate, then the optimum strategy for improving the injection efficiency can be identified.
The proposed methodology was applied, and the results showed that the material balance model could help to predict the behaviour of CO2 storage capacity at an early stage with reasonable and acceptable accuracy. Sensitivity analysis on reservoir permeability, injection rate, and reservoir pressure has been conducted and the results are discussed in this paper. The optimization analysis identified that increasing the injection rate and maintaining high reservoir pressure could significantly improve CO2 storage capacity.
In conclusion, the proposed methodology provides a comprehensive and systematic approach for assessing the capacity of CO2 in saline aquifers at an early stage as well as the potential solutions to improve the capacity.
Surfactant in Cement Slurry: Solution for the Problem of Incompatibility with Oil Based Mud
Authors: Bakhareva Elizaveta , Sukhachev Vasilii , Kolchanov Petr , Sozonov Alexander , Zinovyeva Anastasia , Olennikova Olesya , Akhmetzianov Ilshat 
Published: November 2023

Summary
The main well cementing objective is to provide complete isolation of the formations behind the casing. To achieve this goal, the drilling fluid (mud) must be completely displaced in the annulus by cement. Effective mud removal is ensured by properly selected densities and fluid rheological hierarchy. However, even with ideal compliance with this rules, the oil based drilling fluid may not be completely replaced in the annulus. In such a case, contact of incompatible liquids occurs: cement and oil based mud. This leads to the formation of a viscous mass, which can cause high friction pressure during cementing job. In this situation, the zonal isolation of the formations is violated, and expensive remedial cementing job may be required. One solution for such cases may be use of surfactants to modify the properties of cementing systems in order to improve the compatibility of the drilling mud and cement slurry system.
This paper presents the results of study describing the possibilities of using various surfactants and their effectiveness when used in cement slurries. The surfactant selection to obtain rheological compatibility of the oil based mud and cement slurry system is theoretically justified.
The main attention was paid to rheological compatibility assessment and influence of surfactants on cement slurry properties, such as compressive strength development and thickening time. In addition to the initial assessment of the cement slurry properties, tests were carried out to determine cleaning and invert emulsion ability. In the process of studying, an express method for assessing the compatibility of cement and drilling mud was proposed and used.
The work has shown that surfactant addition to cement slurry improves rheological compatibility between the cement and drilling fluid. The dependence of the rheological compatibility experiment results and type of surfactant is found. Technical and experimental confirmation of possibility of well cementing without the use of a spacer, was obtained.
The novelty of the work is methodological approach for compatibility assessment of surfactant in cement slurry and slurry with drilling fluid (mud). This approach includes express method to select best surfactants candidates for further evaluation. The results of this study potentially allow to abandon the use of spacer in well cementing process and improve the quality of well cementing.
First Application of LWD High-Resolution Ultrasonic Imaging in an Unconventional Horizontal Well in the Najmah Formation: Case Study from Kuwait
Authors: Al-Naqeeb Mohamed Nizar , Ghneej Ali Faleh Abu , Al-Khabbaz Mohammed , Abdulkarim Anar 
Published: November 2023

Abstract
The unconventional Jurassic Najmah carbonate-shale formation in northern Kuwait has been tested and found to be a prolific source rock as well as a producer of gas, condensate, and light oil in different wells. The flow-controlling system, given the very low porosity, is highly dependent on the presence of a natural fracture network.
The Najmah kerogen member, formally known as the Najmah shale, is the source reservoir composed of highly organic-rich argillaceous and calcareous clay, represented by very high total gamma ray values associated with high uranium on spectral gamma ray logs. Average matrix porosity ranges from 2 to 6%, low permeability from 0.01 to 1.5 mD, and total organic content (TOC) from 7 to 12%. Identification and interpretation of fractures, bed boundaries, and borehole breakout from high-resolution images plays a crucial role in optimizing completion design. Using wireline has been a challenge in horizontal wells, making logging-while-drilling (LWD) acquisition preferable.
The case study is from a horizontal exploration well drilled with a rotary steerable system combined with gamma ray and resistivity sensors in the Najmah formation of north Kuwait, where a multi-stage fracking completion was planned. The logging program also included density, neutron porosity, sonic, and high-resolution ultrasonic borehole imaging measurements. To minimize the risk of stuck events, it was decided to use LWD acquisition. Wells in the area are typically drilled in the minimum stress direction (SHmin) to cross natural fractures perpendicularly, to optimize fracking. However, surprisingly, most of the natural fractures were almost parallel to SHmin. Overall, high data quality was achieved, and the results exceeded the end data users’ expectations. In total 96 natural fractures, 16 bed boundaries, and a few breakout intervals were interpreted within a measured-depth interval of 1,610 feet. Some of the fractures could be identified with high confidence on a 1:200 scale log.
The new information about fracture orientation will be considered for future well design planning. The results were also used to facilitate the optimization of future field development and completion design. Further field analysis and studies are planned to be performed to confirm the interpreted results.
Injection Optimization for Oil Production Increase by Quantitative Assessment of Crosswell Interference Based on Machine Learning
Authors: Kim V. U. , Gulyaev D. N. , Voron K. A. , Prilutckiy A. A. , Shigapov I. N. 
Published: November 2023

Abstract
Understanding reservoir pressure dynamics and crosswell interference is crucial for optimizing pressure maintenance systems in heterogeneous reservoirs with complex geology. This paper presents a case study from Eastern Siberia, highlighting the positive impact of applying Multi-Well Retrospective Test (MRT) machine learning technology on production enhancement.
MRT technology relies on mathematical algorithms for annualizing long-term records of bottomhole pressure and surface rates from a group of wells through multiwell deconvolution. It requires historical data of bottomhole pressures for the tested well and flow rate history for all wells under study. Multiwell deconvolution involves a fully or semi-automated search for initial pressure and Unit-rate Transient Response (UTR) for tested wells and cross-well intervals, aligning actual pressure records with total sandface flow rate variation history. It also quantifies the accumulated pressure impact of surrounding wells on the tested well.
The study area featured nine wells with declining production rates, including six producers and three injectors. The primary objective was to assess production enhancement potential, primarily through injection optimization. The seven-year dataset encompassed flow rate and pressure variations during production. Before employing machine learning, data were preprocessed to reduce the number of analysis points, synchronize flow rate and pressure change timings, and remove outliers. Mathematical deconvolution procedures were then applied to derive UTRs, with UTR convolution providing crosswell pressure impact. Two injection wells were found to have a significant cumulative pressure impact on production wells. Mathematical well shut-ins yielded reservoir pressure and well productivity index. UTR interpretation via pressure transient analysis algorithms offered insights into reservoir transmissibility, well skin, and interference-free drainage areas. Machine learning algorithms generated pressure/rate forecasts for different well targets, indicating that the optimal production increase could be achieved through a 1.5x increase in injection rate for one well and a 2.7x increase for another well, resulting in a twofold oil production increase with constant water cut.
Field implementation demonstrated that MRT technology is a powerful tool for optimizing injection targets and increasing oil production. Additionally, MRT provides reservoir pressure data without well shut-ins, enabling the operator company to gather information for reservoir pressure mapping without production deferment, resulting in a significant increase in Net Present Value (NPV).