bluuebunny/crossref_metadata_2025 huggingface dataset:
Flight dynamics and control assessment for differential thrust aircraft in engine inoperative conditions including aero-propulsive effects
Authors: Hoogreef Maurice F. M. , Soikkeli Johannes S. E.
Published: June 2022

Differential thrust can be used for directional control on distributed electric propulsion aircraft. This paper presents an assessment of flight dynamics and control under engine inoperative conditions at minimum control speed for a typical distributed propulsion aircraft employing differential thrust. A methodology consisting of an aerodynamic data acquisition module and a non-linear six-degrees-of-freedom flight dynamics model is proposed. Directional control is achieved using a controller to generate a yaw command, which is distributed to the propulsors through a thrust mapping approach. A modified version of the NASA X-57 aircraft is selected for case studies, where the engine inoperative condition is considered to impact the three leftmost propulsors during climb at minimum control speed. The objective also includes the assessment of the impact of the aero-propulsive coupling for such an aircraft during a failure case. Results show that during the recovery manoeuvre, the aircraft experiences a 78% reduction in total thrust and 30% reduction in total lift caused by the aggressive yaw control effort required to control the heading of the aircraft. Consequently, the powered-stall speed is increased, and the aircraft temporarily loses altitude during the recovery manoeuvre. Differential thrust provides sufficient yaw authority during the engine inoperative condition, and is, therefore, seen to potentially replace the functionality of the rudder for the climb condition that was studied. Additionally, reduction of the vertical tail area was explored and seen to be possible if the response time of the system is low enough. For the studied configuration, this required a response within 400 ms for reduced vertical tail areas.
Hair cortisol concentration as a marker of long-term stress: sex and body temperature are major determinants in wild-living Alpine marmots
Authors: Zenth Friederike , Corlatti Luca , Giacomelli Stefano , Saleri Roberta , Cavalli Valeria , Andrani Melania , Donini Valerio
Published: June 2022

Hair cortisol concentration (HCC) has recently gained popularity as an easy-to-measure biomarker of long-term stress in wild and domestic animals. Hair integrates cortisol over long time periods within a single sample and it can be collected non-invasively, which makes its use particularly interesting for wildlife studies. Interpreting HCC values, however, is challenging, because they are determined by the interplay of multiple factors. Here, were explore potential determinants of HCC in the Alpine marmot Marmota marmota. We tested the relationship of sex, age class, physical condition and body temperature with the hair cortisol concentration of free-ranging marmots. We found marked sex difference in HCC, with higher levels in females. This might be related to sex-specific variation in social stress or resulting from physiological difference, e.g., in baseline and stress-induced levels of cortisol secretion. Interestingly, body temperature was also positively related to HCC, possibly hinting at individual short- and long-term stress reactivity as part of coping styles. Although further work is needed to entangle possible mechanisms underlying the neuro-endocrinological modulation on HCC, our results emphasize that determinants such as sex and body temperature in Alpine marmots should be accounted for, when using HCC as marker of chronic stress.
Efficient production of mannosylerythritol lipids by a marine yeast Moesziomyces aphidis XM01 and their application as self-assembly nanomicelles
Authors: Yu Guanshuo , Wang Xiaoxiang , Zhang Chao , Chi Zhe , Chi Zhenming , Liu Guanglei
Published: June 2022

Mannosylerythritol lipids (MELs) are one of the most promising biosurfactants because of their excellent physicochemical properties, high environmental compatibility, and various biological functions. In this study, a mangrove yeast strain Moesziomyces aphidis XM01 was identified and used for efficient extracellular MEL production. The MEL titer reached 64.5 ± 0.7 g/L at flask level within 7 days with the optimized nitrogen and carbon source of 2.0 g/L NaNO3 and 70 g/L soybean oil. Furthermore, during a 10-L two-stage fed-batch fermentation, the final MEL titer reached 113.6 ± 3.1 g/L within 8 days, with prominent productivity and yield of 14.2 g·L−1·day−1 and 94.6 g/g(glucose and soybean oil). Structural analysis indicated that the produced MELs were mainly MEL-A and its fatty acid profile was composed of only medium-chain fatty acids (C8–C12), especially C10 acids (77.81%). Further applications of this compound were evaluated as one-step self-assembly nanomicelles. The obtained MEL nanomicelles showed good physicochemical stability and antibacterial activity. In addition, using clarithromycin as a model hydrophobic drug, the MEL nanomicelles exhibited high loading capacity and could be used for the controlled and sustained drug release in low-pH environments. Therefore, M. aphidis XM01 is an excellent candidate for efficient MEL production, and the prepared MEL nanomicelles have broad application prospects in the pharmaceutical and cosmetic fields.
A Chaotic Antlion Optimization Algorithm for Text Feature Selection
Authors: Chen Hongwei , Zhou Xun , Shi Dewei
Published: June 2022

Text classification is one of the important technologies in the field of text data mining. Feature selection, as a key step in processing text classification tasks, is used to process high-dimensional feature sets, which directly affects the final classification performance. At present, the most widely used text feature selection methods in academia are to calculate the importance of each feature for classification through an evaluation function, and then select the most important feature subsets that meet the quantitative requirements in turn. However, ignoring the correlation between the features and the effect of their mutual combination in this way may not guarantee the best classification effect. Therefore, this paper proposes a chaotic antlion feature selection algorithm (CAFSA) to solve this problem. The main contributions include: (1) Propose a chaotic antlion algorithm (CAA) based on quasi-opposition learning mechanism and chaos strategy, and compare it with the other four algorithms on 11 benchmark functions. The algorithm has achieved a higher convergence speed and the highest optimization accuracy. (2) Study the performance of CAFSA using CAA for feature selection when using different learning models, including decision tree, Naive Bayes, and SVM classifier. (3) The performance of CAFSA is compared with that of eight other feature selection methods on three Chinese datasets. The experimental results show that using CAFSA can reduce the number of features and improve the classification accuracy of the classifier, which has a better classification effect than other feature selection methods.
In Layman’s Terms: The Power and Problem of Science Communication
Authors: Shah Yash B , Glatter Robert , Madad Syra
Published: June 2022

Improved policies for science communication are needed to ensure scientific progress in coming decades. The COVID-19 pandemic illustrated massive gaps in science communication, ranging from masking and social distancing mandates to vaccination requirements. These obstacles compounded the pandemic’s tremendous inherent clinical and public health challenges. Although science made immense progress in understanding the virus and designing infection control solutions, society still remains within the pandemic due to flawed understanding, low responsiveness, and widespread misinformation on behalf of the public. Flawed communication plagues national responses not only to the pandemic, but also other long-standing issues such as climate change or nutrition. This Letter proposes a new protocol and framework for effective science communication, designed to educate experts in evidence-based communication, improve public partnership through relatability and modern relevance, and increase empathy and trustworthiness to increase public cooperation. A defined protocol for science communication can ensure that evolving knowledge can tangibly benefit society.
Effective workspaces of parallel robots
Authors: Erastova Ksenia
Published: June 2022

An approach for calculating the effective workspaces of parallel mechanisms has been considered in this paper. The effective workspace is a set of reachable by the end-effector points, where an important parameter (or parameters) from the point of view of operation is not higher than critical. In this article, the speed and torque in the drive and the stiffness of the mechanism are considered as such parameters. An approach to determining the appropriate effective workspace is presented for each parameter. The optimization process, which is based on presented methods, allows one to choose basic technical solutions of the designed robot: the links (lengths and cross-sections), the drives, and types of hinges, which guarantee its operability at the specified operational characteristics. Case studies of a delta robot with four degrees of freedom and a planar five-bar mechanism are presented for testing these approaches. The presented methods are of great practical importance because it uses movement parameters or operational characteristics that are decisive for this mechanism and have clear physical meaning.
Relational Ecological Model of Identity
Authors: Aggarwal Pankhuri , Wiese Deborah L. , Bhuptani Prachi
Published: June 2022

Abstract. Although some scholars have extended the discussions on privilege and marginalization to include markers of identity that go beyond race/ethnicity, gender, and disability status, these attempts are still in their preliminary stages ( Black & Stone, 2011 ). Commonly accepted models for understanding identity (e.g., Bronfenbrenner's Ecological Systems Theory, Hays' ADDRESSING framework) have been developed by scholars in the West, with limited applicability for the unique aspects of identity development in other cultures. Additionally, these models are limited in their ability to account for complexities that have been brought about as a result of processes, including, but not limited to, globalization, urbanization, and affluence. This paper describes the different types of privileged and marginalized identities that operate in the Indian society and proposes a theoretical model for exploring identity development in India using a relational lens. Borrowing elements from existing models of identity formation and development, we highlight the commonalities as well as the unique aspects of identity in India that do not get completely captured by existing models. Therapists and trainees in the field of mental health could use the proposed model to explore the intersectionality of identities for themselves and their clients in therapy, and for their clients in their unique sociocultural and political contexts. Implications for education, training, and clinical practice are discussed.
Academic Activism in the Wake of a Pandemic
Authors: Oldfield Luke D. , Roy Rituparna , Simpson Aimee B. , Jolliffe Simpson Apriel D. , Salter Leon A.
Published: June 2022

Abstract. The COVID-19 pandemic intensified anxieties among temporary workers in New Zealand tertiary education, particularly those affiliated with universities reliant on the lucrative market for international fee-paying students. As national borders closed and states started looking inward, these same learning institutions began to more visibly express the language of market logics for which they had been remodeled in recent decades, adapting to declining revenue through austerity-like budget cuts. The communication of these cuts to the academic precariat has been mixed, with some institutions resorting to cold, forceful determinations delivered as matter-of-fact restructurings, while others have preferred an oblique recasting of the pandemic's disruption as an opportunity for social responsibility. This paper is a collective self-reflection on the activism undertaken by the newly formed Tertiary Education Action Group Aotearoa during the COVID-19 pandemic. It begins by contextualizing the reforms rolled out in response to the pandemic in relation to the “neoliberal turn” of higher education and examines how career pathways for early career academics have transformed into a continuous cycle of precarious employment. We argue that the idealized “early career” identity has been lost and that through a process of mourning we can regather ourselves and embrace our lived realities as members of the academic precariat. We detail how the pandemic acted as a catalyst for this “productive mourning” and enabled us to begin mobilizing discontent among the academic precariat. Finally, we reflect on the extent to which we were able to challenge existing structures that are responsible for the exploitative nature of precarious academic work.
Transformative Collaborations
Authors:   Motherscholar Collective, Myles-Baltzly Colleen C. , Ho Helen K. , Richardson Ivanna , Greene-Rooks Jennifer , Azim Katharina A. , Frazier Kathryn E. , Campbell-Obaid Maggie , Eilert Meike , Lim Stacey R.
Published: June 2022

Abstract. The COVID-19 global pandemic has highlighted and exacerbated existing gender-based inequities in the workforce. A research collective developed by academic mothers with young children (“motherscholars”) emerged as a solution to address some of the constraints particularly faced by mothers in academia. The Motherscholar Collective was formed to research the effects of the pandemic on the work and personal lives of academic mothers with young children. Focus group interviews of participants explored how the Motherscholar Collective has provided relief from the sources of threat generated and amplified by the pandemic. Findings showed that participation in the Collective was transformative. Key themes, including flexibility, collaboration, validation, and empowerment, reflect how the Collective contributed to motherscholars' sense of authenticity as scholars by facilitating a harmonious integration of their professional and personal identities. The resulting implications for academic workplaces suggest opportunities for institutional improvement toward the end of transformational empowerment for motherscholars in academia.
Vanadium for Green Energy: Increasing Demand but With Health Implications in Volcanic Terrains
Authors: Parnell John
Published: June 2022

The transition to a clean energy future may require a very substantial increase in resources of vanadium. This trend brings into focus the potential health issues related to vanadium in the environment. Most vanadium enters the Earth's crust through volcanic rocks; hence, vanadium levels in groundwaters in volcanic aquifers are higher than in other aquifers and can exceed local guidance limits. The biggest accumulation of volcanogenic sediment on the planet is downwind of the Andes and makes up much of Argentina. Consequently, groundwaters in Argentina have the highest vanadium contents and constitute a global vanadium anomaly. The high vanadium contents have given rise to health concerns. Vanadium could be extracted during remediation of domestic and other groundwater, and although the resultant resource is limited, it would be gained using low‐energy technology.
Sub‐Seasonal Forcing Drives Year‐To‐Year Variations of Southern Ocean Primary Productivity
Authors: Prend Channing J. , Keerthi M. G. , Lévy Marina , Aumont Olivier , Gille Sarah T. , Talley Lynne D.
Published: June 2022

Primary productivity in the Southern Ocean plays a key role in global biogeochemical cycles. While much focus has been placed on phytoplankton production seasonality, non‐seasonal fluctuations exceed the amplitude of the seasonal cycle across large swaths of the Antarctic Circumpolar Current. This non‐seasonal variability comprises a broad range of timescales from sub‐seasonal (<3 months) to multi‐annual (>1 year), all of which can project onto the annual mean value. However, year‐to‐year variations of surface chlorophyll (SChl), a proxy for phytoplankton biomass, are typically attributed to ocean circulation changes associated with the Southern Annular Mode (SAM), which implicitly assumes that sub‐seasonal variability averages to near‐zero over long timescales. Here, we test this assumption by applying a timeseries decomposition method to satellite‐derived SChl in order to separate the low‐frequency and high‐frequency contributions to the non‐seasonal variability. We find that throughout most of the Southern Ocean, year‐to‐year SChl variations are dominated by the sub‐seasonal component, which is not strongly correlated with the SAM. The multi‐annual component, while correlated with the SAM, only accounts for about 10% of the total SChl variance. This suggests that changes in annual mean SChl are related to intermittent forcing at small scales, rather than low‐frequency climate variability, and thus do not remain correlated over large regions.
Solar Wind Speed Prediction via Graph Attention Network
Authors: Sun Yanru , Xie Zongxia , Wang Haocheng , Huang Xin , Hu Qinghua
Published: June 2022

The solar wind is a plasma flow formed by the expansion of the high‐temperature corona and propagates in the interplanetary space with speeds between 200 km/s and 900 km/s. Accurate solar wind speed prediction and longer lead time will help mitigate the impact of solar storms on aerospace equipment and the Earth's magnetic field. Recently, most approaches do not explicitly capture the relationships between different solar wind features, and the prediction accuracy of 96‐hr is still not good enough. This paper elaborately designs an end‐to‐end model: Graph‐Temporal‐AR model (GTA) for solar wind speed prediction. First, our framework considers each feature as the node to construct the graph structure and adopts the graph attention module to learn the complex dependencies among features. Second, our approach employs the dilated causal convolution to extend the receptive field and prolong the prediction time. Furthermore, we leverage the autoregressive model to solve the scale insensitive problem of the neural network, making our model more robust. Specifically, we combine the OMNI data measured at Lagrangian Point 1 (L1) with the extreme ultraviolet images observed by the Solar Dynamics Observatory satellite to predict the solar wind speed at L1. Compared with the baseline models, GTA obtains significant performance improvements. Through visualization, we find GTA excavates the relationships between multiply variables without domain prior knowledge, which may help us find other unknown associations in heliophysics data sets. The data and code are available from https://github.com/syrGitHub/GTA.
Efficient transdermal delivery of functional protein cargoes by a hydrophobic peptide MTD 1067
Authors: Shin Hee Je , Bak Sun Uk , La Ha Na , Kang Jin Sun , Lee Hwa Hyun , Eom Hyo Jung , Lee Byung Kyu , Kang Hyun Ah
Published: June 2022

The skin has a protective barrier against the external environment, making the transdermal delivery of active macromolecules very difficult. Cell-penetrating peptides (CPPs) have been accepted as useful delivery tools owing to their high transduction efficiency and low cytotoxicity. In this study, we evaluated the hydrophobic peptide, macromolecule transduction domain 1067 (MTD 1067) as a CPP for the transdermal delivery of protein cargoes of various sizes, including growth hormone-releasing hexapeptide-6 (GHRP-6), a truncated form of insulin-like growth factor-I (des(1-3)IGF-I), and platelet-derived growth factor BB (PDGF-BB). The MTD 1067-conjugated GHRP-6 (MTD-GHRP-6) was chemically synthesized, whereas the MTD 1067-conjugated des(1-3)IGF-I and PDGF-BB proteins (MTD-des(1-3)IGF-I and MTD-PDGF-BB) were generated as recombinant proteins. All the MTD 1067-conjugated cargoes exhibited biological activities identical or improved when compared to those of the original cargoes. The analysis of confocal microscopy images showed that MTD-GHRP-6, MTD-des(1-3)IGF-I, and MTD-PDGF-BB were detected at 4.4-, 18.8-, and 32.9-times higher levels in the dermis, respectively, compared to the control group without MTD. Furthermore, the MTD 1067-conjugated cargoes did not show cytotoxicity. Altogether, our data demonstrate the potential of MTD 1067 conjugation in developing functional macromolecules for cosmetics and drugs with enhanced transdermal permeability.
Development and characterization of novelly grown fire-resistant fungal fibers
Authors: Zhang Xijin , Li Yanjun , Fan Xudong , Wnek Gary , Liao Ya-Ting T. , Yu Xiong
Published: June 2022

This study conducted a comprehensive characterization and analyses on the fire-resistant behaviors of novel fungal fibers grown with substrate containing Silica (Si) source at multiple scales. At micro-scale, the results of SEM showed that silica affected the physiological activities of fungi, with the extent of effects depending upon its concentration. Fourier-transform infrared (FTIR) spectra displayed the existence of Si–O–C chemical bonds in fungal fibers grown with Si source, indicating that Si source becomes a part of the structure of fungal fibers. Thermogravimetric analysis (TGA) and Microscale combustion calorimetry (MCC) of fungal fibers exhibit an early thermal decomposition of non-combustible components, which will potentially help release the thermal stress and mitigation of spalling when used in concrete. Compared with polypropylene (PP) fibers, fungal fibers have a lower thermal degradation rate, a higher residual weight, a lower heat release peak temperature, and less total heat of combustion; all of these indicate improved thermal stability and fire resistance, and a lower rate of function loss in case of a fire. Additionally, the thermal stability and fire resistance of fungal fibers were improved with the increase of Si source concentration in the nutrition medium. For example, addition of 2% Si source in the feeding substrate leads to a 23.21% increase in residual weight in TGA, and a 23.66 W/g decrease in peak heat release rate as well as a 2.44 kJ/g reduction in total heat of combustion in MCC. At laboratory scale, compared with PP fibers, fungal fibers grown with 2% Si source have a higher residual weight of 40.40%, a higher ignition temperature of 200.50 °C, and a declined flame height of 11.64 mm in real fire scenarios. Furthermore, only in the fungal fibers grown with Si source, partial burning occurred. In post-fire conditions, the microstructure of residual char from fungal fibers grown with higher content of Si source became denser, which would lead to a reduction of the fuel vapor release and heat transfer. FTIR spectra of residual char demonstrated that fungal fibers grown with Si source formed more stable chemical bonds with higher heat of chemical bond formation, contributing to improved thermal stability and fire resistance. Therefore, compared with traditional fibers used for fiber reinforced concrete, incorporating the new natural grown fibers will potentially further improve the fire resistance of concrete and mitigate the concrete spalling.
Near-infrared light reduces glia activation and modulates neuroinflammation in the brains of diet-induced obese mice
Authors: Saieva Salvatore , Taglialatela Giulio
Published: June 2022

Neuroinflammation is a key event in neurodegenerative conditions such as Alzheimer’s disease (AD) and characterizes metabolic pathologies like obesity and type 2 diabetes (T2D). Growing evidence in humans shows that obesity increases the risk of developing AD by threefold. Hippocampal neuroinflammation in rodents correlates with poor memory performance, suggesting that it contributes to cognitive decline. Here we propose that reducing obesity/T2D-driven neuroinflammation may prevent the progression of cognitive decline associated with AD-like neurodegenerative states. Near-infrared light (NIR) has attracted increasing attention as it was shown to improve learning and memory in both humans and animal models. We previously reported that transcranial NIR delivery reduced amyloid beta and Tau pathology and improved memory function in mouse models of AD. Here, we report the effects of NIR in preventing obesity-induced neuroinflammation in a diet-induced obese mouse model. Five-week-old wild-type mice were fed a high-fat diet (HFD) for 13 weeks to induce obesity prior to transcranial delivery of NIR for 4 weeks during 90-s sessions given 5 days a week. After sacrifice, brain slices were subjected to free-floating immunofluorescence for microglia and astrocyte markers to evaluate glial activation and quantitative real-time polymerase chain reaction (PCR) to evaluate expression levels of inflammatory cytokines and brain-derived neurotrophic factor (BDNF). The hippocampal and cortical regions of the HFD group had increased expression of the activated microglial marker CD68 and the astrocytic marker glial fibrillary acidic protein. NIR-treated HFD groups showed decreased levels of these markers. PCR revealed that hippocampal tissue from the HFD group had increased levels of pro-inflammatory interleukin (IL)-1β and tumor necrosis factor-α. Interestingly, the same samples showed increased levels of the anti-inflammatory IL-10. All these changes were attenuated by NIR treatment. Lastly, hippocampal levels of the neurotrophic factor BDNF were increased in NIR-treated HFD mice, compared to untreated HFD mice. The marked reductions in glial activation and pro-inflammatory cytokines along with elevated BDNF provide insights into how NIR could reduce neuroinflammation. These results support the use of NIR as a potential non-invasive and preventive therapeutic approach against chronic obesity-induced deficits that are known to occur with AD neuropathology.
Collective dynamics of capacity-constrained ride-pooling fleets
Authors: Zech Robin M. , Molkenthin Nora , Timme Marc , Schröder Malte
Published: June 2022

Ride-pooling (or ride-sharing) services combine trips of multiple customers along similar routes into a single vehicle. The collective dynamics of the fleet of ride-pooling vehicles fundamentally underlies the efficiency of these services. In simplified models, the common features of these dynamics give rise to scaling laws of the efficiency that are valid across a wide range of street networks and demand settings. However, it is unclear how constraints of the vehicle fleet impact such scaling laws. Here, we map the collective dynamics of capacity-constrained ride-pooling fleets to services with unlimited passenger capacity and identify an effective fleet size of available vehicles as the relevant scaling parameter characterizing the dynamics. Exploiting this mapping, we generalize the scaling laws of ride-pooling efficiency to capacity-constrained fleets. We approximate the scaling function with a queueing theoretical analysis of the dynamics in a minimal model system, thereby enabling mean-field predictions of required fleet sizes in more complex settings. These results may help to transfer insights from existing ride-pooling services to new settings or service locations.
Blocking CD47 with restructured peptide nanoparticles for motivating phagocytosis to inhibit tumor progression
Authors: Xia Yiyi , Wang Tiantian , Wu Linjie , Zhong Haiqing , Zhou Yi , Ke Peng , Bao Xiaoyan , Dai Qi , Yang Qiyao , Lu Yiying , Xu Donghang , Liang Min , Han Min
Published: June 2022

Hypoxia-responsive peptide nanoparticles self-assemble to form nanofiber networks to block CD47 and further enhance anti-tumor immune response in combination with chemotherapy.
Design and structural regulation of AIE photosensitizers for imaging-guided photodynamic anti-tumor application
Authors: Jia Shaochuan , Yuan Huanxiang , Hu Rong
Published: June 2022

Aggregation-induced emission (AIE) photosensitizers (PSs) are promising anti-tumor materials in photodynamic therapy.
Rh(iii)-Catalyzed dienylation and cyclopropylation of indoles at the C4 position with alkylidenecyclopropanes
Authors: Liu Yan-Zhi , Zeng Yao-Fu , Shu Bing , Zheng Yi-Chuan , Xiao Lin , Chen Shao-Yong , Song Jia-Lin , Zhang Xuanxuan , Zhang Shang-Shi
Published: June 2022

Herein, we report a Rh(iii)-catalyzed C–H functionalization of indoles at the C4 position with alkylidenecyclopropanes (ACPs).
An EVOH nanofibrous sterile membrane with a robust and antifouling surface for high-performance sterile filtration via glutaraldehyde crosslinking and a plasma-assisted process
Authors: Cheng Pan , Huang Peng , Ji Cancan , Jia Xiaodan , Guo Qihao , Xia Ming , Cheng Qin , Xu Jia , Liu Ke , Wang Dong
Published: June 2022

A strategy based on in situ crosslinking and surface plasma treatment was developed to fabricate an EVOH nanofibrous sterile membrane with a robust and antifouling surface for high-performance sterile filtration.
Multi-stimuli-responsive actuator based on bilayered thermoplastic film
Authors: Sun Mengdi , Wang Panlong , Zheng Guoqiang , Dai Kun , Liu Chuntai , Shen Changyu
Published: June 2022

A PVDF/LDPE bilayered film was designed and continuously fabricated by a bilayered film blowing method, which can act as a programmable soft actuator that shows multiple response properties.
A biocompatible open system Na-doped IrOx(OH)y energy storage device with enhanced charge storage properties and long lifetime
Authors: Hsieh Yi-Chieh , Lai Chun-Han (Matt) , Tso Kuang-Chih , Chou Shih-Cheng , Whang Grace J. , Choi Christopher S. , Cheang Wai-Hong , Chu Chao-Yi , Lee Jyh-Fu , Chen Po-Chun , Chen San-Yuan , Dunn Bruce S. , Wu Pu-Wei
Published: June 2022

A Na–IrOx(OH)y cell using body fluid as the electrolyte demonstrates large charge storage capacity and long lifetime.
Application of indacenodiselenophene central core and modulation of terminal group interaction for high-efficient P3HT-based organic solar cells
Authors: Du Mengzhen , Xiao Yuzhang , Geng Yanfang , Chen You , Jiang Hai , Dong Chuanqi , Guo Qiang , Guo Qing , Li Gongqiang , Zhou Erjun
Published: June 2022

Two IDSe-based A2–A1–D–A1–A2 type acceptors BTA46 and BTA47 were synthesized and used in P3HT devices for the first time. The BTA47-based device achieved high PCE of 7.12%, due to excellent exciton dissociation, charge transport and collection.
k‐sparse signal recovery via unrestricted ℓ1−2$\ell _{1-2}$‐minimization
Authors: Xie Shaohua , Liang Kaihao
Published: June 2022

In the field of compressed sensing, ‐minimization model can recover the sparse signal well. In dealing with the ‐minimization problem, most of the existing literature uses the difference of convex algorithm (DCA) to solve the unrestricted ‐minimization model, that is, model (4). Although experiments have proved that the unrestricted ‐minimization model can recover the original sparse signal, the theoretical proof has not been established yet. This paper mainly proves theoretically that the unrestricted ‐minimization model can recover the sparse signal well, and makes an experimental study on the parameter λ in the unrestricted minimization model. The experimental results show that increasing the size of parameter λ in (4) appropriately can improve the recovery success rate. However, when λ is sufficiently large, increasing λ will not increase the recovery success rate.
Vision‐based edge wave detection for cold‐rolled steel plate using 3D camera
Authors: Zhao Lei , Li Xiaolong , Li Xiaobo
Published: June 2022

Edge wave detection is a key technology in steel plate quality inspection, which is beneficial to improve the production quality of steel products and the efficiency of enterprises. In this letter, a novel algorithm based on visual projection and pixel statistics is proposed to detect the edge wave using 3D camera. The proposed algorithm first uses a series of image preprocessing to effectively remove the influence of irrelevant interference, and transforms the colour image into the binary image. Subsequently, three key positions of the edge wave in range image are precisely determined based on visual projection and pixel statistics. Finally, two 3D cameras are used to acquire the range images to evaluate the proposed algorithm's performance. The results show that the proposed algorithm can accurately detect the edge wave instead of human eye detection.
Improved model‐free adaptive predictive control‐based cooperative driving control for connected and automated vehicles subject to time‐varying communication delays and packet losses at signal‐free intersections
Authors: Yu Jie , Jiang Fachao , Luo Yugong , Kong Weiwei
Published: June 2022

In a vehicle‐to‐infrastructure (V2I) communication network at signal‐free intersections, time‐varying delays and random packet losses may occur because of the unreliable nature of wireless communication, which can degrade the performance of cooperative driving for large‐scale connected and automated vehicles (CAVs). Consequently, to solve this problem, this paper proposed a cooperative driving control method based on improved model‐free adaptive predictive control (IMFAPC). I/O data of the target CAVs during driving are adopted to realize the networked predictive control of the time‐varying transmission delays and packet losses in the dynamic linearization prediction scheme and moving horizon prediction control technology. And then the vehicle can be allocated the expected speed to realize accurate vehicle control. In addition, the convergence of the IMFAPC‐based cooperative driving control algorithm is proven by conducting a stability analysis. Extensive numerical experiments verified the effectiveness of the proposed control strategy, and the results demonstrate that the proposed method can alleviate the adverse effects of time‐varying delays and random packet losses on the control effects, thereby improving traffic efficiency under various traffic volumes on the basis of ensuring the safety of multi‐vehicle driving.
Transgressive-regressive cycles in saline lake margin oolites: paleogeographic implications (Priabonian, Vistrenque basin, SE France)
Authors: Semmani Nazim , Fournier François , Léonide Philippe , Feist Monique , Boularand Sarah , Borgomano Jean
Published: June 2022

The integrative analysis of a lacustrine carbonate succession from Butte Iouton hill (Vistrenque basin, SE France) brings new insights into depositional models and stacking patterns of oolitic saline lake margins and provides new details regarding the late Eocene paleogeography of southeast France. Depositional facies analysis and paleoenvironmental reconstructions allow reconstructing an oolitic lacustrine ramp model, displaying from the proximal to the distal areas: (1) shallow marginal saline lake domain with deposition of planar microbial laminites, and molluscan-ostracodal wackestone, (2) a more distal and open lacustrine environments with low to moderate energy characterized by the deposition of peloidal grainstones and (3) a domain of higher energy with accumulation of ooids mixed with peloids in the vicinity of the area of ooid production. Lake margin carbonate sedimentation dominantly occurred during stages of lake transgression while subaerial exposure surfaces developed during periods of negative inflow-evaporation balance (forced regression). Carbon and oxygen isotopes together with vertical trends in salinity inferred from molluscan associations show that lake transgression does not result from increasingly positive freshwater-evaporation balance volume but from the combination of subsidence and outflow from neighbouring saline waterbodies. The Butte Iouton carbonate margin is part of a set of interconnected saline lakes, occupying continental basins from Languedoc and Rhodanian region during the Priabonian, with a siliciclastic-dominated sedimentation in the southern margin, sourced by erosion of Pyrenean reliefs, and a carbonate-dominated northern margin with significant oolitic sedimentation in high-energy nearshore area.
Petroleum potential analyses for the completed but not producing wells in reservoir P, S sag
Authors: He Hongying
Published: June 2022

At the end of 2020, the P oil layer in area B had proved geological reserves * million tons, developable geological reserves * million tons, and proved developable reserves * million tons. It is estimated that by the end of 2022, the developable reserves will be * million tons, the remaining developable reserves * million tons, of which * million tons are to be written off, and the undeveloped reserves after written off will be * million tons, and the developable rate of P oil reservoir reserves will reach 96.7%. In the absence of large-scale development in the Fuyu oil layer, it is a problem that must be solved to find the potential of infrastructure in the P oil layer. Completed-nonproducing wells mainly refer to those have not been put into production after completion of drilling. The potential of not constructed after completion of drilling mainly starts from the nature of the oil and water developed in a single well and the thickness of the reservoir, combined with the position relationship of the well and the relationship between injection and production, to analysis the development potential as oil- water wells or lifting wells.
Discussion and application of thin-layer sand connectivity of outer front facies
Authors: Zhang Lingzhi
Published: June 2022

In this paper, the microfacies of thin-layer sand of outer front facies are described by homogeneous unit thickness classification in the past, the plane distribution of single sand body and the connection relationship between different sand body types are roughly understood; From the two aspects of vertical single-stage thin-layer sand body identification and fine description of sedimentary facies belt map applying energy facies in plane microfacies, the outer front belt is divided into 6 types and 9 kinds of thin-layer sand combinations, the connectivity of sand bodies is clearer and the directionality is clearer. The application of research results not only deepens the geological understanding, but also guides the adjustment of water-driven scheme.
Analysis on Dynamic Characteristics of Polymer Flooding and Influencing Factors of Oil Flooding Effect
Authors: Yang Zhixin
Published: June 2022

At the present stage of scientific research, the chemical industry is an important part, and its influence is very high. Oil industry is the key project of national development at present, especially in the aspect of polymer flooding, whether it is the mastery of dynamic characteristics or the analysis of effect influencing factors, we must insist on starting from a long-term perspective. Only in this way can the practical process of specific work be handled and solved according to the rational mode, reduce the shortage of old work and improve the analytical connotation of polymer flooding. This paper discusses the dynamic characteristics and influencing factors of polymer flooding effect, and puts forward reasonable suggestions.
Study on reservoir classification and influencing factors of sandstone reservoirs
Authors: Xu Yunliang
Published: June 2022

An oil field reservoir belongs to a large river-delta sedimentary system in the northern part of the Songliao Basin. The depositional environment of the reservoir has changed significantly in different periods, and the nature of the reservoir is segmented in the vertical direction, so that different types of oil layers are developed in different areas and sections. There are many sandstone layers, and the oil-bearing well section is more than 500 meters long, consisting of mutual layers of sandstone and mudstone, in which the thickness of single sand layer is only a few meters to less than 1 meter, with obvious multi-rotation nature. With the continuous development of the oil field, the oil field has entered the late stage of high water content development, and the comprehensive water content of the oil field has reached over 90%, making it more difficult to stabilize the production of the oil field. In order to further extend the stable production period of the field and achieve the goal of “oil stabilization and water control”, while doing a good job of efficient development of the main oil reservoir, the development of non-main oil reservoirs with poor pore permeability, fragmented distribution, complex reservoir properties and serious non-homogeneity is increased, and various development methods such as water drive, poly drive and ternary composite drive are used comprehensively. As the difference of reservoir properties determines the difference of oil recovery methods and oil recovery costs, for the convenience of oilfield decision making and management, oil reservoirs are divided into main and non-main reservoirs, usually the reservoir with good physical properties, high oil saturation, low oil recovery costs and high development benefits are called main reservoirs, also known as class I oil reservoirs, and other reservoirs are called non-main reservoirs.
Application of combined test string of RD bypass pressure test valve and RD safety circulation valve
Authors: Li Tianfu
Published: June 2022

At present, in the test construction of high temperature, high pressure and high hydrogen sulfide wells, in order to simplify the pipe string structure and improve the process success rate, the combination of RD safety circulation valve and OMNI multiple circulation valve is often used to carry out the triple operation of perforation+acid fracturing+test, which can realize the operation of one opening and one closing. However, due to the complex structure, high failure rate and high construction cost of the OMNI multi-cycle valve, most operators are unwilling to use it, but without the pipe string of the OMNI multi-cycle valve, the slurry replacement operation cannot be completed. This paper introduces an RD bypass pressure test valve which can replace OMNI multi-cycle valve. It can not only realize the function of slurry replacement, but also increase the success rate of operation because of its simple structure, so it is more and more favored by users.
Follow-up water drive inefficient and ineffective cycle comprehensive management countermeasures
Authors: Gao Yang
Published: June 2022

When an oilfield is developed with a polymer drive, the injected polymer will play a role in improving the already formed dominant channel between oil and water wells, but after the polymer drive block is transferred to the subsequent water drive development, an inefficient circulation field of injected water will be formed between oil and water wells again. This paper mainly applies dynamic and static data, combined with dynamic analysis and adjustment and optimization software of high water-bearing oilfield, to identifying the dominant channel of subsequent water drive, actively take comprehensive management countermeasures, reasonably control the injection and recovery rate, control inefficient and ineffective injection and recovery, so as to improve the effect of subsequent water drive development.
Experimental study on constant pressure of polymer flooding in second-class reservoirs
Authors: Ji Hongmei
Published: June 2022

At present, the second-class oil layer has become the main polymer flooding replacement layer in the Lamadian Oilfield. The second-class oil layer has low permeability, low connectivity and serious heterogeneity. The results of the polymer flooding laboratory experiments are quite different from the field flooding effect. Polysystem design provides better guidance. Based on theoretical and field data analysis, this paper adopts constant pressure injection method. After the experimental injection fluid is seepage through a 1.5m long core, the core flooding experiment is carried out, that is, the problem of excessive pressure rise in polymer flooding is controlled, so that the injection fluid is closer to the oil layer. state of the injected system. The constant pressure polymer flooding experiment was used to establish the matching relationship between the polymer system and oil layers with different permeability, which effectively guided the design of the on-site polymer injection system. At present, indoor polymer flooding core experiments generally adopt the constant speed mode, without controlling the injection pressure. However, due to the influence of permeability, connectivity and other factors, the injection pressure increases greatly, and the reservoir water absorption is difficult, which leads to a great difference between the experimental results and the field effect. In order to make the indoor core experiment closer to the actual field injection state and better guide the design of polymer flooding scheme, it is urgent to optimize and improve the experimental method.
Preliminary analysis of sedimentary characteristics and facies model of M-II layer in Kazakhstan Oilfield A
Authors: Pan Xuemei
Published: June 2022

The lithologic melange accumulation of areskum formation in akshabluk area is one of the key strata in exploration. Its basement inheritance controls the whole process of Jurassic sedimentation, and the filling and leveling gradually reduces the terrain elevation difference; After the late Jurassic deformation, the flat paleogeomorphology was changed and the deposition of Early Cretaceous strata was controlled. Under the control of marker beds, sedimentary cycles are divided according to the cycle characteristics of logging curves. Under the control of cycle interface (standard layer), according to the cyclicity of logging curve (GR), combined with core and seismic data, it is divided step by step according to the cycle level, from large to small, that is, it is divided step by step according to “oil bearing series → oil reservoir group → small layer → sedimentary unit”, and a layered system is established. Vertically, M-I and M-II groups are developed from bottom to top. M-II group is divided into m-ii-1 and m-ii-2. M - II - 1 is subdivided into four sub layers: m - Ⅱ - 1A, M - II - 1B, M - II - 1c and M - II - 1D. Based on the comprehensive analysis of sedimentary background and paleostructural characteristics, according to the sedimentary location and sedimentary environment of oilfield a, and referring to core data and seismic data, it is determined that oilfield a develops three sedimentary facies: alluvial fan facies, fluvial facies and lacustrine facies. According to the seismic attribute slice and logging data, predict the sandstone thickness contour map of each sedimentary unit, divide the single well logging facies, study and divide the sedimentary subfacies and sedimentary microfacies according to the sedimentary model.
Study on wellbore annular sealing technology based on the influence of fracturing operation in low permeability oilfield
Authors: Li Na
Published: June 2022

At present, the fracturing technology has been very mature and is widely used in oil and gas field production operation. However, the fracturing operation will cause periodic changes in wellbore internal pressure and generate alternating stress. Due to the material factors of casing and cement sheath, the deformation of the two is inconsistent after stress, and then the damage of cement sheath and the failure of wellbore annulus seal occur. After water injection development, it is easy to produce channeling risk, so the performance of cement sheath is crucial. In view of this problem, through the theoretical analysis, experimental analysis and organic combination analysis of wellbore annulus cement ring sealing, the critical failure threshold of wellbore annulus cement ring under fracturing operation is given, which provides certain guidance for improving wellbore annulus sealing and reducing the risk of channeling after fracturing operation in the future.