Ideal Performance Research Articles

Simultaneous Optimization of Exergy and Economy and Environment (3E) for a Multistage Nested LNG Power Generation System

The study introduces an innovative three-stage nested power generation system that enables the cascading utilization of LNG cold energy. It makes the most of wasted energy by using ship jacket cooling water (JCW) and exhaust gas (EG) as heat sources, a trans-critical carbon dioxide cycle as internal circulation, and utilizing the pressure exergy of LNG. We choose two azeotrope mixing fluids that match the requirements and create four cases for the outer and middle cycle working fluids in the three-stage nested system. To discover the ideal system performance from the perspectives of exergy (E), economy (E), and environment (E), four cases were subjected to multi-objective optimization using the multi-objective particle swarm optimization technique (MOPSO). Finally, the optimal solution was found by applying the TOPSIS decision-making method. Through comparative analysis, the optimal system is selected among the four optimization results. R170 (22.66%) and R1150 (77.34%) are used as the outer circulating working medium, while R170 (90.86%) and R1270 (9.14%) are utilized as the inter-cycle working fluid. The net output work is 575.75 kW, the optimal exergy efficiency is 46.09%, the optimal electricity production cost is $0.04009 per kWh, the carbon dioxide emissions can be reduced by 36,910 tons, and the payback period is 2.548 years. After optimization, a more energy-efficient and environmentally friendly power generation system is obtained.

Professional nurses' perspectives of an ideal performance management process.

A well-managed performance management process can significantly influence professional nurses' job satisfaction and improve patient outcomes. Conversely, ineffective management of the process can lead to demotivation of the nursing staff. This study aimed to understand professional nurses' perspectives on an ideal performance management process. The study was conducted in a designated hospital in South Africa owned by a private healthcare group. The study population consisted of professional nurses involved in a performance management cycle. A descriptive qualitative research design with an appreciative inquiry approach was employed. Participants were selected through purposive sampling. Five focus groups of five professional nurses each were used to conduct interviews. The interviews lasted between 60 min and 80 min. The number of interviews conducted provided sufficient data for data saturation. The data were analysed using thematic analysis and the 5-D model of appreciative inquiry. Trusting relationships between management and professional nurses play an essential role in ensuring a tailored performance management process. Training of both professional nurses and managers, a sound reward system for high-performing employees, and a fair and transparent process that addresses challenges and promotes opportunities can promote a positive work environment. Professional nurses require support from their managers and top management. Involving professional nurses in the planning and implementation can ensure proper relationships exist and that constraints are appropriately addressed. Implementing the findings can improve the competencies of both managers and professional nurses to maintain a positive performance management process.

Homeland social media as a field of negotiation: Creative strategies of China’s Wanghong in Japan

This article investigates how China’s Wanghong (a Chinese term referring to online influencers’) in Japan engage in cultural and economic practices through transnational homeland social media. Particular attention is given to the characteristics of how they utilise Chinese social media and the ways in which pressures emanating from the homeland-media environment have moulded their distinctive approaches to participating in media practices. Combining qualitative and quantitative methodologies, the data on which this research is based consists of China’s statistical data concerning Wanghong, empirical data generated from interviews with nine China’s Wanghong in Japan, and online participant observations of their media practices. The results of this study reveal that Wanghong must contend with the deep-rooted Sino-Japanese hostilities in the patriotic context of homeland media, as they are largely dependent on Chinese advertisers for their financial resources. Consequently, homeland media becomes a field of negotiation where Wanghong cope with environmental pressures and negotiate their identities and actions, with identity performance and placemaking serving as the creative-compromise strategies they adopt.

Mod Installation as Reclaiming Representational Diversity: The Role of Aesthetic Agency in Stardew Valley

Media (e.g., film) are often designed around cisgender, heternormative logics and are not representative of the multiplicity of identities and identity expressions that exist in the world. Thus, media impedes the identity expression and performance of the communities who use them, as we do not see many parts of our identities represented or find that our identities are misrepresented. Video games, which are a genre of media, are especially problematic in how they perpetuate heteronormative normative logics. Unlike most media, however, video games give people agency over the aesthetics of game worlds--the characters and narratives--through the installation of mods. We conducted a content analysis coupled with a triangulation of mods through personal experience focused on the widely popular farming simulation game Stardew Valley. Drawing on a conceptual lens bringing together theories of identity and aesthetic agency, we highlight how the aesthetic agency afforded by mod installation provides opportunities for reclaiming representational diversity in game worlds along the following dimensions: sex and intimacy, gender and sexuality, race and ethnicity, and body diversity. We discuss the implications of mod installation, exploring its potential relationship with identity work and identity play. We then propose design guidelines for achieving aesthetic alignment.

Insight into the Coordination Environment of Ru Single-Atom for Dry Reforming of Methane.

Dry reforming of methane (DRM), a pivotal process for converting greenhouse gases into syngas is demanding rationally designed catalysts with high stability and ideal catalytic performance for industrial applications due to its stability of reactant molecules and characteristic of carbon deposition. However, the mechanistic understanding of how the coordination environment of the metal in a single-atom catalytic system may influence the catalytic performance remains limited. In this work, high- and low-coordinating Ru-based (RuHC and RuLC) catalysts with distinct Ru-O coordination numbers are prepared using one-pot and two-step methods. The difference in the stability (12.3% and negligible deactivation during 20 h test for RuLC and RuHC catalysts respectively) and selectivity (0.57 and 0.37 of H2/CO ratio) brought by the coordination environment signified the structure-function relationship of single-atom catalysts in DRM. The impact of the structure on the properties is systematically investigated by thorough structural and operando characterization as well as density functional theory (DFT) calculation. The findings contribute to the optimal design of single-atom catalysts for DRM, offering a theoretical basis for industrial catalyst development and the potential to improve the process's environmental impact.

A Mountain Gazelle Optimization (MGO) for Enhancing the Deep Learning Performance in Various Operating Systems

This study introduces a novel optimization framework that assesses and enhances deep learning algorithm performance across autonomous car operating systems. The framework generates synthetic performance measures, including inference time, memory use, CPU/GPU utilization, and accuracy, to evaluate algorithm performance. By employing the Mountain Gazelle Optimizer (MGO), the study identifies the best deep learning algorithm and operating system setup for accuracy and resource efficiency. The proposed methodology normalizes performance indicators, defines a fitness function to assist optimization, and then iterates through numerous configurations to discover the optimum option. Extensive trials and scenario comparisons validate the effectiveness of our approach. Computational efficiency and accuracy improved significantly, revealing the ideal autonomous car system performance combinations. This study not only enhances deep learning optimization but also provides practical instructions for building robust autonomous car systems in varied operating contexts, thereby informing the development of future autonomous vehicles and offering actionable insights for developers and researchers in the field.

This Is the Sacrifice: Language, Ideology and Religious Identity Performance in Erei Personal Names

This paper examines personal names derived from traditional religious beliefs and practices among the Erei people in Biase Local Government Area of Cross River State in South-South, Nigeria while utilising insights from the multidisciplinary inferences of socio-onomastic theory to account for the cultural, social and situational contexts that create the religious content of the names. Data were obtained by means of participant observation and semi-structured interviews during six months of fieldwork involving 40 participants who were the name-givers, name-bearers and name-users. Our findings highlight the socio-onomastic tradition of Erei people in which personal names are bestowed through a conscious application of symbolic linguistic resources to express and perform ideologies and identities that are rooted in the traditional religion’s foundations and sociocultural practices that represent Erei people’s indigenous beliefs system and spiritual worldview. Focused on the ideals of African traditional religion, religious identities are constructed through the use of personal names related to idol worship, the mysteries of death, reincarnation and commemoration, cultural festivals and performances, symbolic objects, familial rankings and other aspects derived from their environment that also bear traditional religious significance. And because this set of personal names is now predominant among the ageing population and is losing contemporaneity due to an increasing subpopulation with a new (Christian) beliefs system, this study serves to preserve a transiting and endangered Erei socio-onomastic practice that represents the people’s traditional cosmology.

Optimised GRS coded cooperation: sliding relay selection design and improved joint decoding

ABSTRACT In this paper, the novel optimised generalised Reed-Solomon coded cooperative (OGRSCC) scheme is developed with a flexible selection of the code length and information dimension. In the OGRSCC scheme, two GRS codes with different dimensions are deployed at the source and relay, respectively, where the information symbols of the relay are dependent on those of the source. At the relay, different symbol selections may contribute to distinct joint codes at the destination. As a result, to achieve a maximum free distance (FD) and the optimised weight distribution of the final code, the global search method is first proposed to obtain the optimal selection pattern. However, as the code grows longer, its complexity rises dramatically. To make the selection more practical, the low-complexity sliding search method is then investigated to obtain the local optimal symbol selection pattern. Monte-Carlo simulated results indicate the OGRSCC scheme with two selection methods demonstrates almost identical performance. Furthermore, based on this special selection method and the unique algebraic structure of GRS code, the improved joint decoding algorithm is first proposed to boost the overall system performance. In addition, the theoretical upper bound is analysed, verifying the effectiveness of the proposed OGRSCC scheme. Numerical simulations reveal that the proposed OGRSCC scheme outperforms its corresponding non-cooperative scheme by a gain of over 3.2 dB and its existing comparable schemes by a margin of approximately more than 4 dB at high signal-to-noise ratio (SNR), respectively.

First-Principles Calculations and Machine Learning of Hydrogen Evolution Reaction Activity of Nonmetallic Doped β-Mo2C Support Pt Single-Atom Catalysts.

The most widely used catalyst for the hydrogen evolution reaction (HER) is Pt, but the high cost and low abundance of Pt need to be urgently addressed. Single-atom catalysts (SACs) have been an effective means of improving the utilization of Pt atoms. In this work, we used a nonmetal (NM = B, N, O, F, Si, P, S, Cl, As, Se, Br, Te, and I) doped β-Mo2C (100) C-termination surface as the support, with Pt atoms dispersed on the support surface to construct Pt@NM-Mo2C. Using density functional theory (DFT) calculations, we selected catalysts with excellent HER activity. Among 117 candidate catalysts, 49 catalysts exhibited ideal catalytic performance with Gibbs free energy of hydrogen intermediate (H*) adsorption (ΔGH*) values less than 0.2 eV. The ΔGH* values of 16 catalysts were even lower than that of Pt (ΔGH* ≈ 0.09 eV), with PtI@N2/4-a-Mo2C demonstrating the best performance (ΔGH* = -0.01 eV). Combined with electronic structure analysis, we could understand the impact of charge transfer between Pt and the underlying NM atoms on the strength of the Pt-H bond, thereby promoting HER activity. Using machine learning (ML), we identified that the primary influencing factors of the HER catalytic activity in the Pt@NM-Mo2C system were the Bader charge transfer of Pt (NePt), the d-band center of Pt (εdPt), and the atomic radius of NM (RNM), with NePt having the greatest impact on the HER catalytic activity.

Fluorine-free biomimetic membranes with leaf vein-like and lotus leaf dual structure for high-performance waterproof and breathable textiles

Intelligent microporous membranes with excellent water resistance and moisture permeability have a huge market demand owing to their wide applications in personal protection, outdoor equipment and wearable electronics. However, the construction of such high-performance waterproof and moisture-permeable membranes (WBMs) based on a simple preparation process without post-coating treatment presents significant challenges. Herein, we present a simple strategy for constructing a fluorine-free polyethylene terephthalate (PET)-based WBM with a novel composite structure by combining a leaf vein-like nanofibrous substrate membrane and lotus leaf-inspired biomimetic nanofibrous skin using multi-needle electrospinning and heat treatment techniques. Surface hydrophobicity, along with the stable crosslinked structure of PET-based membranes, was achieved by in-suit doping of fluorine-free two-component reactive silicone rubber (PDMS). In addition, the small pore size and high porosity of the composite membranes were regulated by co-assembling PET/PDMS fibers and microspheres with different morphologies and structures. The resulting composite membranes based on substrate membrane-1:3 (BNFM-1:3) achieved excellent waterproof performance of 90.3 kPa, good moisture permeability of 5116 g m−2 d−1, and air permeability of 1.82 mm s−1. The WBMs based on novel composite structures are expected to be applied in various fields because of their ideal comprehensive performance.

My Facebook Community

This article offers an autoethnographic account of the ways in which users of local Facebook groups in a U.S. suburb use the spaces to form community and personal identities. Through a reflection on my experiences of using local suburban Facebook groups, the article makes the argument that Facebook fails to offer a needed space for public discourse. However, it does provide a lens through which the negotiation and performance of a middle-class identity can be affirmed and contested. Through a reflection on the author’s experiences using local Facebook groups over a period of three years, the article aims to better understand how this platform fulfills this role in a suburban New Jersey community.

Diagnostic value of impulse oscillometry in chronic obstructive pulmonary disease: a multicentre, retrospective, observational study

ObjectivesDiagnosis and assessment of chronic obstructive pulmonary disease (COPD) rely extensively on spirometry, which necessitates patient cooperation. The clinical value of impulse oscillometry (IOS) as a non-volitional method in patients...

Machine Learning Differentiates between Benign and Malignant Parotid Tumors with Contrast-enhanced Ultrasound Features

BackgroundContrast-enhanced ultrasound (CEUS) is frequently used to distinguish benign parotid tumors (BPT) from malignant parotid tumors (MPT). Introducing machine learning (ML) may enable clinicians to preoperatively diagnose parotid tumors precisely. PurposeWe aimed to estimate the diagnostic capability of ML in differentiating BPT from MPT.Study Design, Setting, and Sample: A retrospective cohort study was conducted at the Third Affiliated Hospital of Soochow University. Patients who underwent parotidectomy and CEUS for untreated parotid tumors were included. Patients with recurrent tumors, inadequate specimens, or chemoradiotherapy were excluded. Predictor VariablePredictor variable was preoperative diagnosis coded as BPT and MPT based on the Support Vector Machine (SVM) algorithms, laboratory and CEUS variables. Outcome VariableOutcome variable was pathological diagnosis coded as BPT and MPT. CovariateCovariate was demographics. AnalysesA senior surgeon labeled patients’ tumors as BPT or MPT, creating a clinical diagnosis. Patients were randomly divided into training (70%) and testing (30%) sets. After developing the SVM models using training set, we evaluated their diagnostic performance on testing set with the area under the receiver operating characteristic curve (AUC), accuracy, positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity. Delong’s test was used to compare the AUC of SVM models, laboratory and CEUS variables. ResultsThe sample included 48 patients, and the testing set comprised 12 (25%) BPTs and 3 (6.25%) MPTs. Three CEUS variables (width, arrival time (AT) and time to peak (TTP)) and three laboratory variables (lymphocyte count (LC), D-dimer, prognostic nutritional index (PNI)) were identified through recursive feature elimination. Tested on the testing set, the SVM models with linear, polynomial, and radial kernels showed identical performance (AUC = 0.972, accuracy = 93.3%, PPV = 75%, NPV = 100%, sensitivity = 100%, specificity = 91.7%). They had larger AUC than SVM with sigmoid kernel (P = 0.18), width (P = 0.03), LC (P = 0.02), D-dimer (P < 0.01), PNI (P = 0.03), AT (P = 0.02), TTP (P = 0.04), CEUS diagnosis (P < 0.01), and clinical diagnosis (P < 0.01). ConclusionThe SVM algorithm differentiated BPT from MPT better than laboratory and CEUS variables.

DNA Identities: Narrative and Authority in Genetic Ancestry Performance on YouTube

Abstract The rise of direct-to-consumer genetic ancestry testing and social media technologies have converged to create a particular genre of vernacular identity performance: the genetic ancestry “reveal” on YouTube. This article seeks to understand these performances in relation to the authority that performers grant test results to inform racial and/or ethnic identities, how performers establish hierarchies of knowledge when family folklore and genetic test results collide, and what these performances reveal about conceptions of genetic determinism today.

YOLOv5_mamba: unmanned aerial vehicle object detection based on bidirectional dense feedback network and adaptive gate feature fusion

Addressing the problem that the object size in Unmanned Aerial Vehicles (UAVs) aerial images is too small and contains limited feature information, leading to existing detection algorithms having less than ideal performance in small object detection, we propose a UAV aerial object detection system named YOLv5_mamba based on bidirectional dense feedback network and adaptive gate feature fusion. This paper improves the You Only Look Once Version 5 (YOLOv5) algorithm by firstly introducing the Faster Implementation of CSP Bottleneck with 2 convolutions (C2f) module from YOLOv8 into the backbone network to enhance the feature extraction capability of the backbone network. Furthermore, the mamba module and C2f module are introduced to construct a bidirectional dense feedback network to enhance the transfer of contextual information in the neck part. Thirdly, an adaptive gate feature fusion network is proposed to improve the head part of YOLOv5 and enhance its final detection capability. Experimental results on the public UAV aerial dataset VisDrone2019 demonstrate that the proposed algorithm improves the detection accuracy by 9.3% compared to the original YOLOv5 baseline network, showing better detection performance for small objects. For the UCAS_AOD dataset, the proposed algorithm outperforms YOLOv5-s by 9%. In the case of the DIOR dataset, the proposed algorithm exceeds YOLOv5-s by 12%.

#BimboTok: a critical discourse analysis of hyper-feminine bimbo identities on TikTok

This study adopts a multimodal approach to critical discourse analysis to unpack the discourses embedded in the performance of hyper-feminine bimbo identities on TikTok. Guided by a social semiotic approach to language, this study analyses a corpus of 16 short-form videos published by self-proclaimed ‘bimbos’ on TikTok, focusing on the lexical and iconographical choices of these texts and how they function contextually to signal broader discourses. This analysis reveals that TikTok influencers frequently reinforce hegemonic norms of gender by incorporating bodily signifiers of patriarchal Eurocentric ideals of femininity and linking signifiers of overconsumption and hyper-femininity in their performance of a bimbo identity. Simultaneously, they contest these hegemonic norms by juxtaposing hyper-feminine images with critiques of patriarchal, Eurocentric, and capitalist structures of inequality. Ultimately, the subversive potential of these representations is ambivalent; there is a marked tension between their stated aims of inclusion and empowerment and the intersection of hyper-femininity with privilege.

CuBi2O4/CuO photocathode with conformal CQD@Ni(OH)2 coating for stable solar water splitting

CuBi2O4 exhibits a high onset potential and theoretically high photocurrent density due to its well-matched bandgap for solar water splitting. However, factors such as low charge carrier mobility and severe charge recombination prevent CuBi2O4 from reaching its ideal photoelectrochemical performance, while photocorrosion of the Cu element severely compromises its stability. Herein, a convenient and low-cost chemical bath deposition method has been employed to combine carbon quantum dots (CQDs) with Ni(OH)2, resulting in the preparation of a conformal CQD@Ni(OH)2 layer-coated CuBi₂O₄/CuO heterojunction photocathode. Under AM 1.5G illumination, CuBi2O4/CuO/CQD@Ni(OH)2 illustrates a photocurrent density of −1.36 mA cm−2, which is 2.12 times higher than that of CuBi2O4/CuO. More importantly, the conformal coating of CQD@Ni(OH)2 effectively prevents photocorrosion induced by oxidation-reduction reactions of Cu2+/Cu. At 0.3 VRHE, the photocurrent of CuBi2O4/CuO/CQD@Ni(OH)2 remains at 76.4% after 10000 s of chopped light illumination, significantly outperforming the 48.9% retention observed for CuBi2O4/CuO photocathode after 3600 s of chopped light illumination. This work demonstrates that the CQDs and Ni(OH)2 are good candidates for the photoelectrode overlayer with significant synergetic effects.

Extending sexual scripting theory through critical discursive psychology: An analytical approach to explore the performance of sexual identities

Sexual scripting theory, a widely used tool in sexuality research, was originally developed by Gagnon and Simon to illuminate the social nature of sexual practices and identity construction. Later, they sought to develop the theory further to align with a social constructionist perspective. However, vestiges of individualism and cognitivism haunt sexual scripting theory largely due to the use of the symbolic interactionist concept of performance. To address this, we draw on the performance–performativity approach in critical discursive psychology that develops the notion of performance from a discursive perspective and offers a way of extending sexual scripting theory that offers a truly social explication of sexual identity construction. We provide a practical illustration of this extended theorising, drawing on data from a project about young people’s online engagement with pornography. We demonstrate how developing the notion of sexual scripts as discursive resources that enable the performance of sexual identities allows us to illuminate the social and situated nature of identity construction. This framework enhances understanding of the process of sexual identity construction and provides a valuable tool for studying how broader sexual scripts that are sociohistorically specific provide a scaffolding for the ways an individual can construct sexual identities. Overall, this paper offers a valuable contribution to discursive scholarship in psychology by presenting a nuanced analytical framework that coheres with a constructionist, performative view of identity.

Full-scale experimental study on tribological performance of FPBs for highway bridges with various solid lubricants under fast loading

Friction pendulum bearings (FPBs) have proven to be effective for the seismic isolation of highway bridges. Previous studies often employed scaled model shaking table tests to investigate dynamic responses of the structures or quasi-static tests to assess the hysteretic performance of FPBs. However, it is noteworthy that the stress on the friction surface is reduced due to the size effect in scaled model in shaking table tests, while quasi-static tests of prototype bearings cannot simulate the sliding velocity experienced during seismic events, which is a sensitive parameter for the performance of FPBs with solid lubricant plates. Research on the performance of full-scale FPBs under fast frictional loading is very limited. This paper addresses this knowledge gap by studying the velocity demand for a highway bridge with FPBs and conducting fast sliding performance tests using full-scale FPBs. The results indicate that under a 0.2 g PGA earthquake, the velocity demand for FPBs can reach 0.5 m/s. Through testing full-scale FPBs at various loading speeds, it was found that solid lubricant plates by UHMWPE material exhibit poor thermal stability during wear tests, solid lubricant plates by PTFE material lack sufficient tangential tear strength under fast loading, and solid lubricant plates by PET material show good wear resistance but have a high breakaway force and levered maximum force during the running-in stage. Subsequently, this study developed ultra-high performance friction plate (UHPF) as the solid lubricant for FPBs, achieving ideal hysteretic performance under fast loading. The full-scale FPB specimens in this paper are the ones manufactured for the continuous beam bridges in the Shenzhen-Zhongshan Sea-crossing Link project in China. The dimensions of the bearing, axial load, and loading speed is much more stringent than those in previous FPB tests, providing results that are highly important for engineering applications.

Aging Ni(OH)2 on 3C-SiC Photoanodes to Achieve a High Photovoltage of 1.1 V and Enhanced Stability for Solar Water Splitting in Strongly Alkaline Solutions.

Photoelectrochemical (PEC) water splitting is a promising approach to directly convert solar energy to renewable and storable hydrogen. However, the very low photovoltage and serious corrosion of semiconductor photoelectrodes in strongly acidic or alkaline electrolytes needed for water splitting severely impede the practical application of this technology. In this work, we demonstrate a facile approach to fabricate a high-photovoltage, stable photoanode by depositing Ni(OH)2 cocatalyst on cubic silicon carbide (3C-SiC), followed by aging in 1.0 M NaOH at room temperature for 40 h without applying electrochemical bias. The aged 3C-SiC/Ni(OH)2 photoanode achieves a record-high photovoltage of 1.10 V, an ultralow onset potential of 0.10 V vs the reversible hydrogen electrode, and enhanced stability for PEC water splitting in the strongly alkaline solution (pH = 13.6). This aged photoanode also exhibits excellent in-air stability, demonstrating identical PEC water-splitting performance for more than 400 days. We find that the aged Ni(OH)2 dramatically promotes the hole transport at the photoanode/electrolyte interface, thus significantly enhancing the photovoltage and overall PEC performance. Furthermore, the oxygen evolution reaction (OER) activity and the phase transitions of the Ni(OH)2 electrocatalyst before and after aging are systematically investigated. We find that the aging process is critical for the formation of the relatively stable and highly active Fe-doped β-NiOOH, which accounts for the enhanced OER activity and stability of the PEC water splitting. This work provides a simple and effective approach to fabricate high-photovoltage and stable photoanodes, bringing new premise toward solar fuel development.