bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of Drilling Times by Customizing the Trajectory Design in Vaca Muerta
Authors: Maita M. A. , Noguera D. 
Published: November 2024

Abstract
Among the challenges generated by the drilling of wells in the unconventional Neuquén basin, where increasingly extensive horizontal sections are required and with a continuous improvement of operating times, the need to have methodologies for the design of trajectories that, depending on the formations and their level of drillability, ensure an execution that positively impacts the construction progress of the curved sections. These methodologies must face other challenges such as the instability of the Tool Face (TF), the transfer of weight to the drill bit (WOB), optimal design of the Bottomhole Assembly (BHA) that meets the demands of the designed plan overcoming the complexity of Quintuco, Vaca Muerta and transition zones, achieving the objective of reaching total depth (TD) in a single run.
Offset well analysis emerges as a crucial tool to get these challenges. The first step consists of the generation and analysis of the Motor Yield (MY) graph, which when correlated with the unconfined compressive strength (UCS) profiles and Gamma Ray (GR) logs, allows the identification of the areas of better drillability, with which once identified, the design of customized curves is proposed with optimal positioning of the kickoff point (KOP) and segmenting the dogleg severity (DLS) according to the previous analysis, generating trajectories adjusted to the observed performance by area.
This document provides a comprehensive and customized method for the design of trajectories and modeling of BHA for the execution of directional wells in the Neuquén basin, with measurable results that demonstrate its potential to optimize operating times during the construction of curves, better positioning of the well, improvement in weight transmission and achievement of well length objectives. Respecting the limits of the BHA components, ensuring their integrity, and minimizing the risk of operational failures; this collectively increase the productivity of hydrocarbons in this region, adding value to the client's assets.
Wireline Sensor for Hydraulic Fracturing Operations in Oil and Gas
Authors: Rodriguez M. E. 
Published: November 2024

Abstract
The following paper introduces a new wireline sensor designed to detect the entry and exit of the wireline in an oil and gas fracturing stack. This sensor alerts both on-site personnel and the user when a wireline is present in the stack. By doing so, it prevents the closure of the stack valves, avoiding the risk of cutting the cable from which the wireline hangs, which could otherwise result in significant operational costs.
This new sensor is based on a technology that is:
Passive: as it does not generate any signal or magnetic field that could affect the detonations carried by the wireline. Non-invasive: because it is an external sensor, i.e. it is not inside the frac stack. Compact: due to its small size, it can be mounted on almost any spool, such as a 5-1/8″15M × 5-1/8″15M spool, 600mm in length. Easy to mount: as it is attached to the spool with standard API flanges, making it simple to install above the crown valve.
Isolation and characterization of a novel reassortant strain of Orthoreovirus mammalis from diarrheic pig
Authors: Liao Jing-Ying , Shi Yin , Tang Hui , Zhang Yi-Shuai , Zhang Hui-Hui , Xiao Chao-Ting 
Published: November 2024

Abstract

A novel MRV strain (HNU-XXS-2020) from pigs with diarrhea in Hunan Province, China was isolated and identified. Sequence and genetic evolutionary analyses indicated that this isolate falls into the Lineage IV of MRV3 and was a reassortment of segments from human, pig and mink MRVs. Analysis of the amino acid sequence of σ1 protein by S1 gene revealed that this strain had four amino acid substitutions (235R, 292S, 294T, and 308W) different from those of other MRV3 strains, and the amino acid residues (198NLAIRLP204, 249I, 350D and 419E) associated with sialic acid binding and neurotropism were also present in HNU-XXY-2020.
Effect Of Endoscopic Sinus Surgery on Eustachian Tube Function in Adult Patients with Chronic Rhinosinusitis
Authors: youssef Mahmoud Atef Abdelghaffar , Nassim Nassim Talaat , Alkeeb MohamedNourEddin Bashir , Algarf Tareq Muhammad 
Published: November 2024

Abstract

Background
Chronic rhinosinusitis (CRS) is a frequent chronic heterogeneous inflammatory disease of the upper airways and paranasal sinuses persistent for ≥ 12 weeks causing considerable healthca,re expenses and reduction of patients’ quality of life due to severe tiredness, disappointment, as well as diminished cognitive function. CRS is commonly associated with eustachian tube (ET) dysfunction.
Aim of the study:
To evaluate the effect of endoscopic sinus surgery on ET function in the form of (tympanogram, Valsalva maneuver, and total ET dysfunction questionnaire score), in adult patients with CRS.
Method
This non-randomized clinical trial study was conducted at the Otorhinolaryngology department, the Faculty of Medicine, Cairo University on 40 patients > 18 years old, suffering from CRS with or without Sino-nasal polyposis who are indicated for endoscopic sinus surgery (ESS) and were recruited from Otorhinolaryngology department’s outpatient clinic in the period from November 2022 to June 2023. All selected patients were subjected to a full history taken, a full general examination, and a local otorhinolaryngology examination. Routine preoperative laboratory investigation including complete blood count (CBC), liver and kidney function tests, and coagulation profile. An electrocardiogram (ECG) examination was done routinely for all patients above 40 years old. Radiological examination included; preoperative CT nose & paranasal sinus, axial and coronal cuts soft tissue & bone windows. Assessment of ET function was done using The ET Dysfunction Questionnaire (ETDQ-7), Valsalva maneuver, and Tympanogram. ET function was reevaluated 6 weeks post-operative in the form of an ETDQ-7, Valsalva maneuver, and tympanogram.
Results
The ages of selected patients ranged from 21–45 years old with mean ± SD = 30.98 ± 10.24 years old. 52.5% of patients were males. Our results showed a statistically significant postoperative improvement in the Valsalva maneuver and the tympanogram type of both ears compared to preoperative with a p-value < 0.001. Similar results were found regarding the assessment of ET function using ETDQ-7 items and the total score (15.35 ± 4.92 vs 26.12 ± 7.79 respectively) with p-value: < 0.001.
Conclusion
A significant improvement in ET function in the form of (tympanogram, Valsalva maneuver, and total ET dysfunction questionnaire score), following endoscopic sinus surgery in adult patients with CRS with or without sinonasal polyposis.
Preparation and Properties of Retarded Cellulose-based Polycarboxylic Superplasticizers
Authors: Cheng Yue , Ai Tao , Pang Huang , Liu Ying , Liu Jiekai 
Published: November 2024

Abstract

Cellulose is an important biomass, and the synthesis of chemical products using cellulose is the current hotspot for sustainable economic development. A cellulose-based polycarboxylic acid superplasticizer (CBPCS) was prepared from cellulose hydrolysate, and its properties and mechanism of action were investigated. Through orthogonal experiments, the optimal synthesis process was identified: synthesis temperature of 45 ℃, synthesis time of 3 h, acid-ether ratio of 3:1, cellulose maleate content of 10%, thioglycolic acid (TGA) and hydrogen peroxide (H2O2) content of 0.55% and 0.45%, respectively. The initial fluidity of polycarboxylic acid superplasticizers prepared by this method in cement slurry is 285 mm, 298 mm after 30 minutes, and 305 mm after 60 minutes. The product exhibits excellent retarding and water reduction properties. The test results of different retarding cellulose-based polycarboxylic superplasticizer show that when the amount of cellulose maleate is 10%, the polycarboxylic superplasticizer not only has a good retarding effect on the cement, but also improves the hydration strength of the cement. Specifically, by adding 0.5% of polycarboxylic acid superplasticizer to cement, the water reduction rate reached 28.3% and the setting time was extended to 69 min. The compressive strength of cement mortar at 3, 7 and 28 d increased by 35.4%, 70.0% and 25.2%, respectively. The flexural strength of the cement mortar was increased by 35.4%, 70.0% and 25.2% at 3, 7 and 28 d. The XRD and SEM analyses showed that the retarded cellulose-based polycarboxylic superplasticizers inhibited the hydration of C3S, which confirmed its retarded property.
The updated distribution of clay minerals in the World Ocean
Authors: Lee Taylor R. , Vander Taylor , Hill Trilby , Obelcz Jeffrey , Phrampus Benjamin J. , Graw Jordan 
Published: November 2024

Abstract

Clay mineral content in marine sediments is central to a wide variety of applications in the marine geosciences, including climate and slope stability. Most studies are not applicable to a global scale, focusing on single locations or regional areas. Additionally, abundant clay mineral species data (Kaolinite, Illite, Smectite, Chlorite) are not curated for “big data” applications necessary to produce estimates on a global scale. Geospatial machine learning (GML) techniques have successfully produced global predictions of geological seafloor properties, such as sedimentation rate and total organic carbon. Here, we curate observed data of abundant clay mineral percentages for use in a GML algorithm to predict global estimates of relative clay mineral abundances. Our global seafloor clay mineral species predictions are similar to previous global estimates and results show that GML predictions are the best data-driven estimate (~ 2x decrease in error) of clay mineral percentage where it has not been previously measured.
Opposing Regulation of the K63-linked Polyubiquitination of RIPK3 by SMURF1 and USP5 in Necroptosis
Authors: Song Jaewhan , Hwang Chi Hyun , Lee Minhong , Kim Ju Won Kim , Nam Young Woo , Hwang Gyuho , Ryu Hyun Sung , Seo Jinho , Lee Eun-Woo 
Published: November 2024

Abstract

Receptor-interacting protein kinase 3 (RIPK3), a key regulator of necroptosis, is modulated by ubiquitination through various E3 ligases and deubiquitinases. However, the effects of different polyubiquitination processes on RIPK3 and necroptosis remain unclear. Using a proteomic approach, we identify SMAD Ubiquitination Regulatory Factor 1 (SMURF1) and Ubiquitin-specific peptidase 5 (USP5) as crucial regulators of RIPK3 within the necrosome during necroptosis. SMURF1 facilitates K63 polyubiquitination of RIPK3 at lysines 55 and 363, inhibiting necrosome formation and necroptosis. SMURF1 depletion accelerates necroptosis, while reintroduction of functional SMURF1 reverses this. Conversely, USP5 acts as a deubiquitinase, removing K63 ubiquitin chains and promoting necroptosis. Reducing SMURF1 or using a RIPK3 mutant defective in SMURF1-mediated ubiquitination enhances necroptosis in leukaemia cells, reducing tumour growth in xenograft models treated with birinapant and emricasan. These findings highlight the opposing regulation of RIPK3’s K63 polyubiquitination by SMURF1 and USP5 in necroptosis.
Development and validation of a multiplex qPCR method for identification of high risk genotypes of human papillomavirus
Authors: Mohammadi Ali , Barati Mahmood 
Published: November 2024

Abstract

Cervical cancer is a significant public health concern, disproportionately affecting women in less developed regions due to limited access to screening and vaccination programs. Despite advancements in cervical cancer prevention and treatment, there remains a need for efficient and cost-effective diagnostic tools. This study aimed to develop a multiplex real-time PCR assay to rapidly and accurately identify 15 high-risk human papillomavirus (HPV) genotypes.The primary objective was to design a screening method capable of simultaneously detecting HPV types 16 and 18, which account for over 70% of cervical cancers, as well as other clinically relevant high-risk genotypes. To validate the assay's performance, we compared its results with those obtained using the commercially available INNO-LiPA HPV Genotyping Extra II Assay kit(FujireBio, Tokyo, Japan). The developed assay successfully identified 15 HPV high-risk genotypes in a single reaction. Analysis of 150 positive and 40 negative clinical samples demonstrated excellent concordance between the two assays. The in-house real-time PCR test exhibited a clinical sensitivity of 98% and a clinical specificity of 100%, indicating its reliability and accuracy for HPV genotyping. The multiplex real-time PCR assay is a cost-effective and efficient tool for HPV screening, detecting multiple genotypes simultaneously. It enhances screening efficiency and accuracy, improving early detection and management of HPV-related diseases.
Tracing stream flow in confluent rivers – a journey from chaos to order
Authors: Zehe Erwin , Schroers Samuel , Savenije Hubert 
Published: November 2024

Abstract

The beauty of river networks has continuously inspired science to elucidate their self-similarity and the underlying organizing principles. Horton postulated several laws explaining the scaling of stream networks, which are today widely accepted in fluvial geomorphology. Here we reconcile these laws with the theories of river hydraulics and of non-linear, dissipative dynamic systems. Our analysis of 18 of the largest river networks on Earth, using the HydroSHEDS data, revealed that their confluence/bifurcation ratios converge in their upstream ranges towards the first Feigenbaum constant. The latter characterizes the route of non-linear dynamic systems into Chaos and is well known from the logistic model introduced by May. We first show that both the transition of the logistic model from determinism to Chaos as well the downstream confluence of overland flow paths and stream networks correspond to a step-wise transition from a minimum to a maximum entropy state. Combining this insight with energy balance calculations reveals that the downstream development of free energy of stream flow obeys at confluence points a logistic equation as well. Overall, we show that Horton’s law of stream numbers is a manifestation of the gradual downstream transition of the flow path density from total Chaos to perfect Order.
WITHDRAWN: The ribulose-1,5-bisphosphate carboxylase/oxygenase gene (rbcL) sequence reveals the genetic architecture of the African yam bean(Sphenostylis stenocarpa, Hochst
Authors: Edem Uduak Linus , Edu Ndem Enyogor , Osuagwu Aniefiok Ndubuisi , Emeagi Lasbrey Ikenna , EKERETTE Ekerette Emmanuel , Udensi Ugorji Obuagbu , AGBOR Bessong Reagan 
Published: November 2024

Abstract

The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
AppNets: An Efficient Multi-Task Fusion Network for Comprehensive Driving Perception
Authors: Jia Yaohan , Chen Xuemei , Xu Zeyuan , Ren Pengfei , Shan Wenzhe 
Published: November 2024

Abstract

Panoramic driving perception systems are critical for autonomous driving, as they provide essential traffic-related information. This study introduces AppNets, an efficient and effective multi-task learning framework designed for real-time panoptic driving perception. AppNets comprises an encoder for feature extraction and three decoders that concurrently perform traffic object detection, drivable area segmentation, and lane segmentation. We propose the C2fA module to enhance the model's extraction capability. To enhance our dataset, we expanded the SDExpressway dataset by adding 2,000 frames, particularly incorporating nighttime and adverse weather scenarios. Extensive experiments conducted on both the challenging BDD100K dataset and the augmented SDExpressway dataset demonstrate that AppNets achieves state-of-the-art performance, outperforming baseline models by significant margins. Specifically, on the SDExpressway dataset, AppNets attains a mean average precision (mAP) of 85.1% for traffic object detection, a mean intersection over union (mIoU) of 98.7% for drivable area segmentation, and an intersection over union (IoU) of 75.1% for lane segmentation. These results underscore the effectiveness of AppNets in complex driving scenarios, highlighting its potential for practical deployment in autonomous driving systems. the source codes are released at https://github.com/Huniki/Appnet.git
An Eﬀective Artiﬁcial Intelligence Pipeline for Automatic Manatee Count Using Their Tonal Vocalizations
Authors: Quirós-Corella Fabricio , Cubero-Pardo Priscilla , Rycyk Athena , Brady Beth , Castro-Azofeifa César , Mora-Ramı́rez Sebastián , Ureña-Madrigal Juan Pablo 
Published: November 2024

Abstract

Despite their vulnerable status, manatee conservation eﬀorts are hindered because of limited scientiﬁc data due to the data collection challenges. Bio-acoustic studies utilizing advanced computational analy- sis of long-term recordings oﬀer a promising approach for determining the manatee’s presence and abundance. The following manuscript describes an artiﬁcial intelligence pipeline that eﬀectively implements automatic manatee identiﬁcation and counting. The ﬁrst step is ﬁne-tuning a pre- trained deep neuronal network using transfer learning to detect manatee sounds with a binary accuracy of 96%. In the second phase, the pipeline implements an unsupervised learning method to group acoustic fea- tures of the detected sounds with a clustering score of 72%. The article addresses the implications and the outcomes of testing this proof of con- cept under experimental conditions with passive acoustics monitoring data on the Caribbean coast of Costa Rica and Panama.
Agent-Based Travel Scheduler: Decomposing OD Data for Predicting Individual Travel Schedules through Agent-Based Modeling
Authors: Choi Moongi , Seo Jiwoo , Hohl Alexander 
Published: November 2024

Abstract

This study introduces the Agent-Based Travel Scheduler (ABTS) model, designed to predict individual travel schedules by decomposing GPS-based aggregated Origin-Destination data according to demographic features and trip purposes. ABTS improves upon traditional models by generating detailed individual travel schedules based on agent-based modeling within an activity-based framework. The model's accuracy is refined through robust validation by calibrating key parameters that influence individual travel patterns in both spatial and temporal dimensions. Applied to Milwaukee, Wisconsin, USA, the model demonstrated 83% accuracy in estimating travel patterns, although it showed reduced performance in densely populated downtown areas and locations where special events that attract large crowds occurred. ABTS offers advantages in computational efficiency, flexibility in parameter adjustment, and adaptability to various urban scenarios, making it a valuable tool for policy analysis and urban planning.
Optimization of Condensation Heat Transfer Coefficients Using Taguchi Method: Influence of Temperature, Surface Type, and Coolant Flow Rate
Authors: N Lohith , B Bhaskar H , S Yogendrakumar 
Published: November 2024

Abstract

This study investigates the optimization of heat transfer coefficients (HTC) during condensation processes by analyzing the effects of surface type, coolant flow rate and temperature with the goal of enhancing the efficiency of thermal management systems used in applications such as power generation, HVAC, and industrial cooling. Sixty experimental data sets were used to evaluate five coolant flow rates (0.5–2.5 L/min), four surface configurations and three temperature levels (100°C, 105°C, 110°C). An L9 orthogonal array based on Taguchi’s method was employed to minimize experimental trials. Signal-to-Noise (S/N) ratio analysis and Analysis of Variance (ANOVA) were used to determine the significance of each factor on HTC. The results showed that temperature had the most substantial effect on HTC variation, contributing 53.42%, followed by surface type (26.76%) and coolant flow rate (19.19%). Superhydrophobic surfaces with fins (SABWF) exhibited the highest HTC, particularly at higher temperatures and coolant flow rates. A regression model with an R-squared value of 99.37% was developed, indicating high predictive accuracy. These findings provide critical insights for optimizing condensation heat transfer in thermal systems, improving overall energy efficiency and system performance.
Effect of Process Parameters on Porosity of Parts printed with Selective LaserMelting/Selective Laser Sintering for use as Medical Implants
Authors: Kumar Yashwanth Nanda 
Published: November 2024

Abstract

Additive Manufacturing has increasingly gained traction in the last couple of decades. From a mere prototyping tool (Rapid Prototyping RP), it has now extended to being utilized in main scale manufacturing (Rapid Manufacturing RM) and in its specific application in Medical implant production. Selective Laser Melting (Complete Melting)/Selective Laser Sintering (Partial Melting) which are interchangeably used throughout multiple literature articles along with the terminology Direct Laser Melting (DLM), employs the principle of fusing metal powders layer by layer (Fig. 1) using a laser source to produce highly dense functional parts that are of near net shape. Recent developments have also shown its capability to produce parts that are porous and hollow for certain orthopedic applications. There are several alloys that have been developed and applied as an implant in the past decade, ranging from Cobalt-Chromium for dental implants, Titanium base alloys, Implant Steel and Bioresorbable alloys. This review paper was written to focus on the Titanium based alloys, specifically, the Titanium Aluminum Vanadium (Ti6Al4V) alloy that is used more prominently. While porosity is seen as a defect in regular manufacturing, as evident by most of the literature that aim at reducing porosity in order to make parts with higher density and better mechanical properties. We look to exploit this information to produce parts that would support the need to make osseointegration more feasible as certain applications do require porous implants to avoid bone resorption (Wolff’s law) caused due to the stress shielding from dense implants[1]. We highlight briefly the different parameters that directly affect the porosity in a part and narrow down on the desired parameters from different research studies and their implications. It is shown in most of the research papers the following parameters were explored: Laser Power, Hatch Spacing, Scan Speed and Energy Density (which is a function of the previous 3). Among these, Laser power, Scan Speed and Energy Density is shown to have a profound effect on the porosity of the manufactured part compared to the other parameters.