bluuebunny/crossref_metadata_2025_split huggingface dataset:
Challenges in High Sour Gas Field Development and Non-Metallics Opportunities in Upstream Processes
Authors: Almuhammadi Khaled H. , Parvez Anwar Md. , Buali Mustafa S. , Salazar Vidal Oscar D. , Bukhamseen Ahmed Y. 
Published: December 2023

Abstract
High sour fields beyond 10% H2S concentration are considered one of the severe environments that require suitable tubular components and accessories in upstream environment to ensure sustainable production. Such environments represent a challenging operating envelop where durability and safety are the top concerns due to higher H2S concentration at a higher partial pressure and higher temperature (HPHT). The risk is amplified for the wells with higher than 10% H2S concentration, namely the High H2S wells, and those exceeding 25% H2S concentration which are typically labeled as Ultra-High H2S wells. Corrosion in gas operations can be aggravated in downhole where high H2S at higher temperatures pose additional challenges. Selection of proper material to ensure a sustainable well condition is one of the important elements for the development of these HPHT gas wells. Various challenges were identified, including the selection of cost-effective material which is capable of withstanding short and long term H2S and CO2 partial pressures as well as control generalized CO2 corrosion, sulfide stress cracking (SSC), and stress-oriented hydrogen induced cracking (SOHIC).
With the advancement of Non-Metallics (NM) materials in several applications across the O&G sector, it holds a promise to provide an alternative material solution in lieu of CRA alloy material for the HPHT downhole applications. NM materials are lightweight and they can be designed to withstand higher strength capability in addition to their outstanding corrosion resistance properties in a high H2S environment. Moreover, they can be engineered to fulfill the intended application due to their high design flexibility and durability. In the downhole applications, there is a number of NM products that have been implemented in sour environments, including sealants as well as downhole accessories and tools, where the list of NM technologies is considerably growing.
This paper highlights the concept of using NM products such as coiled tubulars, pressure control equipment and elastomers as well as the challenges on the development and deployment of these key components in high sour fields.
Achieving Reliable and Cost-Effective Wellbore Cleanout in Depleted and Low-Pressure Wells Using CT Conveyed Fluid Oscillation Tool – Case Histories
Authors: Fazal Muhammad Adnan , Saeed Muhammad Salman , Yousuf Saad , Yousuf Arif , Temuri Saqib Jah , Javed Waqar , Rana Muhammad Arif 
Published: December 2023

Abstract
The production revival process through wellbore cleanout is majorly carried out using conventional jetting and rotating tools. The conventional tools effective distance is few times the diameter of nozzle and impact pressure of jet stream in fluid reduces significantly beyond several inches. Effectiveness of these tool is further reduced as they enter larger sized tubing, casing/open hole or due to standoff and are hence not effective for hard scales like barium sulphate. The wellbore cleanout operations become more challenging in depleted fields due to limitation of limited flow rate and lean nitrogen pumping through jetting tools, requiring extra CT trips to change BHA causing NPTs.
Fluid oscillator tools, based on oscillation technology, produces emissions of alternating bursts of fluid that create pulsating pressure waves (300 to 600 Hz) within wellbore and formation fluids. These cyclic pressure waves cause fatigue breaking up wellbore hard scales like barite, paraffin/asphaltene and proppants. Since the FOTs do not have rotating part, it is compatible with high rate and lean nitrogen. The fast cleanout and lean nitrogen compatibility (avoiding extra trips to change BHA) reduces overall intervention time, thus well can be put back on production timely saving upto 50% of overall operations cost.
This paper demonstrates the working principle and three practical applications of FOT at four different wells. The cleanout applications range from packed proppant cleanout to establishing clearance in 7" casing and more than 1,600 ft scale in HT well. The wellbore clearance, in these wells was established in less than 50% time compared to conventional jetting tools, saving more than 20% of overall operations cost.
Development of Novel Delayed Swelling Polymer Gel Particles with Salt Resistance for Enhanced In-Depth Permeability Control
Authors: Wu Yining , Zhang Haiqing , Zhang Liyuan , Huang Yongping , Zhao Mingwei , Dai Caili 
Published: December 2023

Summary
Prolonged waterflooding or polymer flooding in oil fields often exacerbates reservoir heterogeneity, leading to premature water breakthrough and high water cut, which significantly hinders efficient oilfield development. To address this issue, polymer gel particles have been prescribed to enhance sweep efficiency and augment waterflooding recovery by plugging preferential pathways within the reservoir. However, inherent weaknesses of polymer gel particles, such as fast water absorption and expansion rates in the initial stage and low post-expansion rates, make it difficult to balance in-depth transportation and plugging performance. Additionally, these gel particles are sensitive to ions in the formation water, resulting in reduced expansion rates under high-salinity conditions. Therefore, there are still challenges in the application of polymer gel particles for in-depth permeability control. In this study, a new type of delayed swelling and salt-resistant polymer gel particle was synthesized through inverse emulsion copolymerization. To achieve delayed swelling, we use a degradable crosslinker and hydrophobic monomer to enhance the crosslinked network density and hydrophobicity of gel particles. Our double crosslinked gel particles keep their original size until Day 2, then gradually swell up to 20 days in NaCl solution with a concentration of 15×104 mg·L−1 at 90°C. In comparison, the traditional single crosslinked gel particles show significant disparities in swelling behaviors and quickly swell when just dispersed in a 15×104 mg·L−1 NaCl solution at 90°C, maintaining roughly the same size over the testing period. Coreflooding experiments demonstrate that the residual resistance before and after aging increases from 2.37 to 6.82. The newly synthesized delayed swelling and salt-resistant polymer gel particles exhibit promising potential for overcoming the challenges associated with reservoir heterogeneity and high salinity.
Multiphase superconductivity at the interface between ultrathin FeTe islands and Bi2Te3
Authors: Tkáč Vladimir , Vorobiov Serhii , Baloh Pavlo , Vondracek Martin , Springholz Gunther , Carva Karel , Szabó Pavol , Hofmann Philip , Honolka Jan 
Published: December 2023

Abstract

FeTe monolayer islands situated on a topological insulator Bi2Te3 (0001) surface were recently reported to exhibit the opening of an energy gap below temperatures T ~ 6 K, which can be due to a superconducting phase transition. In this work, we present a magnetic field dependent transport study proving that this gap is indeed of superconducting origin. Upon cooling, several drops in resistance are observed in the temperature range between 6 K and 2 K, indicating multiple transitions. Using the Ginzburg-Landau theory, we show that the critical magnetic field of the dominant high-temperature transition at ~ 6 K is governed by orbital Cooper pair breaking in larger FeTe islands, large enough to exceed the superconductive coherence length\(\xi\). At smaller island sizes, transitions at lower temperatures < 6 K become more prominent, showing significantly increased critical fields dominated by paramagnetic pair breaking. The multiphase superconducting behavior is in line with an observed wide distribution of FeTe islands width 5 nm − 100 nm and seems to reflect disorder effects at the interface to Bi2Te3. The proof of local superconductivity makes the FeTe interface to the topological insulator Bi2Te3 substrate a potential host of topological superconductivity.
High value-added utilization of desulfurized building gypsum as self-leveling mortar: the comprehensive effect of cement
Authors: Zhao Min , Fan Puyue , Zhang Mingtao , Huang Jing , Leng Pengfei , Peng Jiahui 
Published: December 2023

Abstract

The utilization of desulfurized building gypsum as raw material for gypsum-based self-leveling mortar (GSL) is limited by its low strength and poor water resistance. The objective of this study was to improve comprehensive properties of GSL and prepare qualified desulfurized building gypsum-based self-leveling mortar, which had been applied in practical engineering. The influence of cement on water consumption rate of initial fluidity (W/M ratio), fluidity, setting time, mechanical strength, and water resistance of GSL were evaluated. Besides, the rheological parameter, heat of hydration, crystal morphology, and pore structure were also analyzed. Cement greatly improved the fluidity of slurry. Moreover, the compressive strength and softening coefficient of GSL reached 20.6 MPa and 0.56 at 10% cement, respectively. Cement reduced the 30 min-fluidity loss and improved fludity by reducing the yield stress and increasing the plastic viscosity of screed. The transformation of hydration kinetics of GSL could be due to Ca2+ and OH− released by cement, thus resulting in the shortening of initial setting time and the prolongation of the interval between initial and final setting time. Scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) showed that CSH gel and AFt crystal would generate on the surface of CaSO4·2H2O crystal, making the structure more compact. Mercury Intrusion porosimetry (MIP) indicated that cement greatly reduced the porosity through the water reduction effect in the early stage and continuous hydration in the later stage. The continuous hydration of cement also increased the shrinkage rate. This work was expected to provide reference for promoting the application of desulfurized building gypsum as the high value-added screed.
Reparable Threshold Paillier Encryption Scheme for Federated Learning
Authors: Zhang Yi , Tian Kun , Lu Yunfan , Liu Fengxia , Li Cheng , Gong Zixian , Hu Zhe , Li Jia , Xu Qun 
Published: December 2023

Abstract
Threshold Paillier encryption scheme finds extensive application in the context of federated learning. However, the issue of client dropout frequently arises within the context of federated learning, rendering the conventional threshold Paillier encryption scheme ineffective for data decryption. To address this issue, this paper introduces a (n,k,d) repairable threshold Paillier encryption scheme by combining the repairable Shamir secret-sharing scheme with the Paillier encryption scheme. The proposed scheme has demonstrated several valuable capabilities. Specifically, we initially establish the security of the secret-sharing property of this scheme, namely, any group of k participants can collaboratively recover the private key, while k-1 or fewer participants cannot recover the private key. Moreover, we demonstrate the scheme's ability to handle the client dropout problem, namely, any group of d normal participants can collectively repair the private key segments of dropout clients. Ultimately, we substantiate that the (n,k,d) recoverable threshold Paillier encryption scheme consistently upholds the precision of decryption processes.
Groundnut crops in resource-constrained farms in Senegal: an overlooked diversity of perceptions, practices, and performances.
Authors: Djiba Sophie , Clermont-Dauphin Cathy , Tounkara Adama , Koussihouede Hermione , Cournac Laurent , Diarra Karamoko 
Published: December 2023

Abstract
Groundnut is the first cash crop and the main legume crop cultivated in rotation with the staple cereals in family farms of Senegal. Most agricultural research has focused on determining genotypes and management options to improve the yield. Conversely, little research has focused on the drivers of farmers’ management decisions. Here, for the first time, we assessed how the diversity of farmers’ resources endowments and perceptions influenced their practices and socioeconomic performances in groundnut cultivation in a Sub-Saharan region. The study was carried out in one of the driest and poorest area of the centre-west of Senegalese groundnut basin. We surveyed 46 farms selected by local facilitators, as being representative of three wealth levels. Both semi-structured and close questionnaires were used. High resource-endowed farms had the highest groundnut area proportion (28%). They used farm-saved seeds, more manure and synthetic fertilizers at the groundnut/millet rotation level than low resource-endowed farms. Their average groundnut unshelled grain yield (0.6 t.ha− 1) was the highest, although four times lower than achievable yield. Remarkably, most of their groundnut was self-consumed and they were the ones who developed novel cash crops such as watermelon. Their return on investment in groundnut, if all the harvest was sold, was the highest (843%). Regression tree analysis revealed that number of seeders and fattening livestock were priority resources determining the rate of groundnut area at the farms. Low resource-endowed farms perceived lack of tools and capital as priority constraints, while high resource-endowed farms most mentioned lack of capital and quality seeds. All farmers perceived multiple opportunities to maintain groundnut on farm, notably ecological services. Our findings highlighted that farms’ heterogeneity of perceptions and resources may be significant even within a homogeneous pedoclimatic region. They provide strong evidence that more targeted actions are needed to support the sustainability of groundnut in Senegal.
ALYREF facilitates the proliferation of hepatocellular carcinoma via MAZ-mediated p53-dependent cell cycle promotion
Authors: Ma Yuying , Liu Ting , Rong Fan , Naeem Abid , Jiang Bin , Wang Qiong , Yuan Yahong , Ding Yan , Meng Zhongji , Guo Xingrong , Wang Xiaoli 
Published: December 2023

Abstract
Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide, with poor prognosis and high mortality. Increasing evidence suggests that m5C binding protein ALYREF plays an important role in HCC progression. However, further research is required to understand its mechanism.The mechanism of ALYREF in HCC was investigated through combined RNA-seq, m5C-seq, and iCLIP-seq to identify potential target genes. Moreover, RT-qPCR, m5C dot blot assay, RNA immunoprecipitation, methylated RNA immuno-precipitation, dual-luciferase reporter assay, and RNA decay assay were used to confirm the mechanism.We identified 8 candidate genes which are modified by ALYREF-mediated RNA m5C modification. Moreover, we found that the content of MAZ modified by m5C was regulated by the methyltransferase NSUN2, and ALYREF could bind to the m5C site of MAZ mRNA and increase its stability. Additionally, we found that knockdown MAZ could inhibit HCC proliferation and reduce the promoting effect of ALYREF overexpression on HCC cell growth in vitro and in vivo. ALYREF and MAZ have a positive correlation; the higher the expression of ALYREF and MAZ, the lower the overall survival rate. Moreover, MAZ could bind to the p53 promoter and suppress the expression of p53, then mediate cell cycle promotion. Therefore, ALYREF promotes tumor growth by binding to the m5C site of MAZ mRNA, increasing its stability, and suppressing p53 via MAZ to regulate the cycle, which facilitates the proliferation of HCC. Overall, our study revealed that ALYREF contributes to HCC proliferation through the MAZ-mediated p53-dependent cell cycle, and the co-expression of ALYREF and MAZ in clinical samples may serve as an effective prognostic indicator for HCC.
Firefly-inspired Bipolar Information Indication System Actuated by White Light
Authors: Wang Changchun , Huang Hanwen , Yin Jiamiao , Zhou Qianwen , Li Huateng , Yang Junying , Wang Yaoben , Xu Ming 
Published: December 2023

Abstract

The indication of information in materials is widely used in our daily life, and optical encoding materials are ideal for information loading due to their easily readable nature and adjustable optical properties. However, most of them could only indicate one type of information, either changing or unchanging due to the mutual interference. Inspired by firefly, we present a noninterfering bipolar information indication system capable of indicating both changing and unchanging information. A photochemical afterglow material was incorporated into the photonic crystal matrix through high-throughput technique of shear-induced ordering technique, which can efficiently produce large-area photonic crystal films. The indication of changing and unchanging information is enabled by two different utilizations of white light by the afterglow material and photonic crystals, respectively, which overcomes the limitations of mutual interference. The consumption unit within the afterglow material can be tuned to match different degrees of light exposure, i.e., when tripling its concentration, the matching light exposure can increase from 3 to 39 J/cm2. As a proof of concept, this system was used to indicate the changing photodegradation level of mecobalamin (a photosensitive medicine) and unchanging intrinsic drug information with anti-counterfeiting functionality, which is a scalable and improved solution for information indication.
Impaired Arginine Metabolism in Hair Follicles: A Potential Mechanism in Androgenetic Alopecia
Authors: Li Ji , duan xin , cheng fan , li guo , Deng Zhi-Li , yang li , zhang jin , liu fen , li yun , wu zheng , chen ting , wang ben , zhao xiang , shi wei , xie fu , tang yan 
Published: December 2023

Abstract
Androgenetic alopecia (AGA) is a prevalent hair loss disorder characterized by an unclear pathogenesis mechanism and limited therapeutic efficacy. Despite a growing body of evidence indicating a link between AGA and metabolic disorders, the precise role of metabolism in AGA development remains elusive. In this study, we employed targeted metabolome profiling to identify distinct metabolic signatures in AGA patients, with a particular focus on amino acid-related metabolic pathways. Notably, our findings highlight a significant decrease in serum abundance of arginine in AGA patients.Locally, impaired arginine metabolism in hair follicles (HFs) experiencing balding was assumed, as evidenced by the heightened expression of ARG1, the pivotal enzyme regulating the arginine-ornithine transition, and the diminished expression of the arginine transporter SLC7A1. Our study further demonstrated that arginine deficiency hinders human hair growth by antagonizing the mTOR signaling pathway. Moreover, the administration of arginine effectively safeguards against the inhibition of hair growth induced by DHT in an AGA-like mouse model and in balding HFs obtained from AGA patients.Collectively, these findings reveal that obstruction of anagen maintenance cause by arginine deficiency occurs in AGA patients and raise the possibility of supplementation with arginine as a promising clinical treatment strategy.
Evolutionary game analysis on behavioral strategies of multi-stakeholder in construction and demolition waste (C&amp;DW) recycling product industry
Authors: Wang Yanyan , Qi Lijun , Cui Wenjing 
Published: December 2023

Abstract
Construction and demolition waste(C&DW) recycling products have drawn worldwide attention over the past few decades. There is a general agreement among researchers that C&DW recycling product is an important means for curbing the deterioration of the environment in China. Previous studies mainly focused on the decision-making behavior of dual stakeholders or tripartite stakeholders, as well as lack of consideration of cooperation among multi-stakeholder. This study explored a dynamic evolutionary game model with three different parameter conditions to research decision-making behaviors and stable strategies of the multi-stakeholder involved in the C&DW recycling product industry, including government departments and some enterprises. This research also investigates how government’s supervision cost, penalty to the enterprises and the resource taxes affect the dynamic evolution process of the C&DW recycling. This research conducted numerical simulations by Python to analyze stakeholders’ behavioral evolutionarily stable strategy (ESS) and the sensitivity to main factors in each stage of the C&DW recycling product industry. Based on the results of the evolutionary game, this paper proposed that the roles of multi-stakeholder are different at different stages of industry development, and that supervision cost, penalty and resource tax have their own impacts on the C&DW recycling product industry. A series of discussions and simulation studies were proposed to accelerate the achievement of sustainable development of C&DW recycling products in China's building sectors.
Using Large Language Models to generate socio-economic datasets
Authors: Devetak Mitja , Mandel Antoine 
Published: December 2023

Abstract
We report the results of an experiment in which we use a Large Language Model (LLM) to generate a socio-economic dataset from unstructured online data. Specifically, we design a query to obtain the geolocation of the production facilities of a firm and loop this query over the set of top 2000 global firms. Such a dataset is not publicly available and is required to perform economic assessment of climate impacts. The LLM provided meaningful results for 75% of the firms, recovering a total of 35809 production sites. The rate of correct answers among those is of the order of 70%.
MEMS reservoir computing system with stiffness modulation for multi-scene data processing at the edge
Authors: Zou Xudong , Guo Xiaowei , Yang Wuhao , Xiong Xingyin , Wang Zheng 
Published: December 2023

Abstract

Reservoir computing (RC) is a bio-inspired neural network structure which can be implemented in hardware with ease. It has been applied across various fields such as memristors, and electrochemical reactions, among which the micro-electro-mechanical systems (MEMS) is supposed to be the closest to integrate sensing and computing. This paper introduces a novel MEMS reservoir computing system based on stiffness modulation, where natural signals directly influence the system stiffness as input. Under this innovative concept, information can be processed locally without the need for advanced data collection and pre-processing. We present an integrated RC system characterized by small volume and low power consumption, eliminating complicated setups in traditional MEMS RC for data discretization and transduction. We performed nonlinearity tuning for the resonator and optimized the post-processing algorithm by introducing a digital mask operator. Consequently, our MEMS RC is capable of both classification and forecasting, surpassing the capabilities of our previous non-delay-based architecture. The system successfully processed word classification and chaos forecasting with high accuracy, demonstrating its adaptability for multi-scene data processing. Our approach has initiated edge computing, enabling emergent applications in MEMS for local computations.