bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing the Social Communication of People with Traumatic Brain Injury: The Benefits of Hindsight, Technology Advances, and Professor Audrey Holland's Wisdom
Authors: Togher Leanne , Bogart Elise 
Published: October 2024

AbstractProfessor Audrey Holland is best known for her extraordinary contributions to the field of aphasia rehabilitation; however, for those working in the field of cognitive-communication disorders (CCDs) following traumatic brain injury (TBI), Audrey made seminal contributions to the conceptualization of language disturbances following TBI, setting the scene for a new era of investigation and discovery. This article describes Audrey's contributions which redefined communication disorders following TBI as being different from aphasia, leading to discourse and everyday communication being the gold standard for CCD assessment. Incorporating Professor Holland's influences, this article describes the advances made during the past two decades including the theoretical development of frameworks to inform clinical assessment; expert consensus guidelines that support the assessment of the individual in activities relating to their family life, their friends, their work, and their relationships; the policy from an International Classification of Functioning, Disability and Health (ICF) perspective; advances in technology including the use of automated discourse measures; TBIBank; and main concept analysis. Professor Holland's profound impacts include the recognition that communication skills play a central role in maximizing all aspects of one's life.
The role of consumer-based brand equity on the prolongation of trademarks
Authors: Pfeifer Louisa M. , Schreiner Thomas F. , Sattler Henrik 
Published: October 2024

Abstract
Trademarks are an integral part of a firm’s brand equity. While extant research looked at the outcomes of trademarks, e.g., a firm’s financial valuation, profitability, and productivity, limited knowledge exists regarding the factors influencing a company’s decision to prolong or terminate trademarks. For the first time, the presented research investigates the effects of consumer-based brand equity (CBBE) dimensions on the decision to prolong or terminate trademarks and how trademark characteristics and the level of regulation in a product category moderate these effects. Utilizing a unique dataset covering 25 countries and 56 product categories from 2001 to 2019, tracking 1,446 trademarks, this research establishes empirical evidence for CBBE’s critical role in trademark prolongations. The CBBE dimension relevant stature (reflecting brand knowledge, esteem, and relevance) positively affects trademark prolongation, whereas the CBBE dimension energized differentiation (reflecting brand uniqueness) negatively impacts trademark prolongation. Specifically, brand-association trademarks and trademark age attenuate the negative effect of energized differentiation on trademark prolongation. Moreover, low levels of regulation reduce the probability of trademark prolongation for brands scoring high on knowledge, esteem, and relevance. Vice versa, low levels of regulation increase the probability of trademark prolongation for highly differentiated brands. These results translate into important managerial implications.
The carbon footprint of total knee replacements
Authors: McGain Forbes , Wickramarachchi Kasun , Aye Lu , Chan Brandon G. , Sheridan Nicole , Tran Phong , McAlister Scott 
Published: October 2024

Objective Detailed quantifications of the environmental footprint of operations that include surgery, anaesthesia, and engineering are rare. We examined all such aspects to find the greenhouse gas emissions of an operation. Methods We undertook a life cycle assessment of 10 patients undergoing total knee replacements, collecting data for all surgical equipment, energy requirements for cleaning, and operating room energy use. Data for anaesthesia were sourced from our prior study. We used life cycle assessment software to convert inputs of energy and material use into outputs in kg CO2e emissions, using Monte Carlo analyses with 95% confidence intervals. Results The average carbon footprint was 131.7 kg CO2e, (95% confidence interval: 117.7–148.5 kg CO2e); surgery was foremost (104/131.7 kg CO2e, 80%), with lesser contributions from anaesthesia (15.0/131.7 kg CO2e, 11%), and engineering (11.9/131.7 kg CO2e, 9%). The main surgical sources of greenhouse gas emissions were: energy used to disinfect and steam sterilise reusable equipment (43.4/131.7 kg CO2e, 33%), single-use equipment (34.2/131.7 kg CO2e, 26%), with polypropylene alone 13.7/131.7 kg CO2e (11%), and the knee prosthesis 19.6 kg CO2e (15%). For energy use, the main contributors were: gas heating (6.7 kg CO2e) and heating, cooling, and fans (4 kg CO2e). Conclusions The carbon footprint of a total knee replacement was equivalent to driving 914 km in a standard 2022 Australian car, with surgery contributing 80%. Such data provide guidance in reducing an operation’s carbon footprint through prudent equipment use, more efficient steam sterilisation with renewable electricity, and reduced single-use waste.
Strong coupling from inclusive semileptonic decay of charmed mesons*
Authors: Wu 吴 Jinfei 金飞 , Lou 娄 Xinchou 辛丑 , Che 车 Yuzhi 逾之 , Li 李 Gang 刚 , Huang 黄 Yanping 燕萍 , Ruan 阮 Manqi 曼奇 , Ye 叶 Jingbo 竞波 
Published: October 2024

Abstract
In this study, we employed the heavy quark expansion model with the kinetic scheme to evaluate

, the strong coupling constant at the charm quark mass

, using data on inclusive semileptonic decays of charmed mesons. Using the experimental values of the semileptonic decay widths of the

and the

, the value of

was determined to be

, where the first uncertainty is experimental and the second is systematic. This value of

is in good agreement with the value of

which calculated by running

at the

boson mass

with the renormalization group evolution equation. In addition, the values of

obtained individually from each of the

,

, and

mesons were consistent, as they were of the same origin.
Design and analysis of pump casing and impeller using reverse engineering technique
Authors: Patil Sushil S , Gawade Sanjaykumar S , Patil Sharad D 
Published: October 2024

Abstract
Advances in three-dimensional (3D) laser measurement technology have resulted in progress in the field of Reverse Engineering. This study introduces a Reverse Engineering technique utilized to restore the initial design of a Pump Casing and its Impeller. This study provides a detailed understanding of the creation of the casing and its impeller 3D model by using the scanned model and its detailed steps, and a 3D deviation report is plotted in order to get a complete deviation idea between the scan data and the design extracted. The Casing and Impeller both have a range of upper and lower is +/− 0.75 mm for the deviation measurement. The Casing is that all points are within its limit, and it’s 100% for most points within its limit and the impeller is 90.9% for most points is in its limit.
Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models
Authors: Kwon Hyuna , Hsu Tim , Sun Wenyu , Jeong Wonseok , Aydin Fikret , Chapman James , Chen Xiao , Lordi Vincenzo , Carbone Matthew R , Lu Deyu , Zhou Fei , Anh Pham Tuan 
Published: October 2024

Abstract
Spectroscopy techniques such as x-ray absorption near edge structure (XANES) provide valuable insights into the atomic structures of materials, yet the inverse prediction of precise structures from spectroscopic data remains a formidable challenge. In this study, we introduce a framework that combines generative artificial intelligence models with XANES spectroscopy to predict three-dimensional atomic structures of disordered systems, using amorphous carbon (a-C) as a model system. In this work, we introduce a new framework based on the diffusion model, a recent generative machine learning method, to predict 3D structures of disordered materials from a target property. For demonstration, we apply the model to identify the atomic structures of a-C as a representative material system from the target XANES spectra. We show that conditional generation guided by XANES spectra reproduces key features of the target structures. Furthermore, we show that our model can steer the generative process to tailor atomic arrangements for a specific XANES spectrum. Finally, our generative model exhibits a remarkable scale-agnostic property, thereby enabling generation of realistic, large-scale structures through learning from a small-scale dataset (i.e. with small unit cells). Our work represents a significant stride in bridging the gap between materials characterization and atomic structure determination; in addition, it can be leveraged for materials discovery in exploring various material properties as targeted.
Federated learning with tensor networks: a quantum AI framework for healthcare
Authors: Singh Bhatia Amandeep , Bernal Neira David E 
Published: October 2024

Abstract
The healthcare industry frequently handles sensitive and proprietary data, and due to strict privacy regulations, it is often reluctant to share it directly. In today’s context, Federated Learning (FL) stands out as a crucial remedy, facilitating the rapid advancement of distributed machine learning while effectively managing critical concerns regarding data privacy and governance. The fusion of federated learning and quantum computing represents a groundbreaking interdisciplinary approach with immense potential to revolutionize various industries, from healthcare to finance. In this work, we propose a federated learning framework based on quantum tensor networks (QTNs) that takes advantage of the principles of many-body quantum physics. Currently, there are no known classical tensor networks (TNs) implemented in federated settings. Furthermore, we investigated the effectiveness and feasibility of the proposed framework by conducting a differential privacy analysis to ensure the security of sensitive data across healthcare institutions. Experiments on popular medical image datasets show that the federated quantum tensor network (FedQTNs) model achieved a mean receiver-operator characteristic area under the curve of 91%–98%, outperforming several state-of-the-art federated learning methods. Moreover, QTN models require fewer parameters in FL settings compared to traditional classical models, which often suffer from over-parameterization. This reduction in parameters not only improves the efficiency of the communication process but also significantly decreases data consumption during training. As a result, QTN models facilitate a more effective and resource-efficient approach to training in decentralized environments with limited communication bandwidth. The FedQTN models demonstrate a smaller performance drop even when using strong differential privacy settings, maintaining higher accuracy compared to classical models under similar privacy constraints. Experimental results demonstrate that the quantum federated global model, consisting of highly entangled TN structures, showed better generalization and robustness and achieved higher testing accuracy, surpassing the performance of locally trained clients under unbalanced data distributions among healthcare institutions.
Quasiparticle spectroscopy in technologically relevant niobium using London penetration depth measurements: experiment and theory
Authors: Ghimire Sunil , Joshi Kamal R , Datta Amlan , Goerdt Aidan , Tanatar Makariy A , Schlagel Deborah , Kramer Matthew J , Marshall Jayss , Kopas Cameron J , Mutus Joshua Y , Romanenko Alexander , Grassellino Anna , Prozorov Ruslan 
Published: October 2024

Abstract
The London penetration depth,

λ
(
T
)

, was measured in various forms of niobium, including foils, thin films, single crystals, and samples from superconducting radio-frequency (SRF) cavities. We observed a significant difference in

λ
(
T
)

at low temperatures,

T
<

T

c

/

3

, due to low-energy quasiparticles. In particular, an unusual downturn of

λ
(
T
)

on cooling in the SRF cavity samples required to take into account deep in-gap bound states. Theoretical modeling using the generalized Dynes density of states shows that such in-gap states lead to a downturn or a peak in

λ
(
T
)

upon cooling. Combined, experimental and theoretical findings provide a method for detecting two-level systems or states related to magnetic impurities in the bulk of niobium. This result is particularly relevant for the quantum informatics sciences technologies used in qubits and circuit quantum electrodynamics architecture based on SRF cavities.
Impact of gradient microstructure on strain hardening via activation of multiple deformation mechanisms in CoCrNi medium entropy alloy
Authors: Meng Jiaqi , Zhao Yonghao , Liu Yi , Li Zongyao , Gao Bo , Xu Mengning , Xia Weiheng , Chen Xuefei , Zhou Hao , Zhu Yuntian 
Published: October 2024

Abstract
Face centered cubic (FCC) structural medium/high entropy alloys (MEAs), characterized by excellent strength and ductility, have attracted significant attention by the research community. The incorporation of gradient structures (GSs) further can enhance their mechanical properties. In the present research, we employ the rotation acceleration shot peening technique to introduce a GS within the CoCrNi FCC MEA to investigate underlying mechanisms governing the physical deformation processes during the generation of GSs through processing, which the primary goal is mitigating the intrinsic trade-off between strength and ductility. Through the microstructures analysis along the depth direction, both pre and post uniaxial tensile plastic deformation, we unveiled that the low stacking fault (SF) energy characteristic of the CoCrNi MEA triggered the emergence of diverse defects in the core region. The presence of nanoscale deformation twins, SFs, Lomer–Cottrell dislocation locks and phase transformation from FCC to hexagonal close-packed at twin boundaries synergistically enhanced the strain hardening capacity of the material.
An analysis of observed and predicted extreme heat and precipitation trends across four pulse producing regions in North America: North Dakota, Montana, Saskatchewan, and Northeastern United States
Authors: Weiss Sophia , Coughlan de Perez Erin 
Published: October 2024

Abstract
The consumption of plant-based proteins in lieu of animal proteins is the most important dietary shift that would be needed to keep the world under 2 °C of warming, and this shift would require a dramatic increase in the percentage of cropland devoted to nuts and pulses (Peters et al 2016 Elementa
4 000116). As the demand for plant-based proteins, like pulse crops, continues to grow, it is critical to understand the impact of climate change on crop production. In this paper, we study two climate-related stressors for pulse production in North America: extreme heat and excess moisture during harvest. Pulses must be dried on the plant before harvest, requiring a 7 day dry spell before harvest or the use of Roundup (glyphosate) to kill the plants quickly. However, little is known about the changes in frequency of hot extremes or dry spells during harvest in pulse-growing regions. We analyze climate trends using the Unprecedented Simulated Extreme Ensemble method with historical data, and we compare results to the average future change in the ssp370 scenario, which is a medium-high climate change scenario of 40 models of the the Coupled Model Intercomparison Project (CMIP6) in four pulse growing regions across North America: Montana, North Dakota, Saskatchewan, and the Northeast USA. We find that temperature extremes have increased in all regions, with extreme events 3–4 times more likely today than in 1981, increasing the risk of crop loss. August and September rainfall during the harvest months has been decreasing in the Midwestern regions and it is projected to continue to decrease in the future; however, the likelihood of a wet August in the Northeast has nearly doubled. Even with this drying trend, farmers cannot assume that they will have a 7 day consecutive dry spell that would enable natural drying of pulses without synthetic drying agents like glyphosate. Future expansion of pulse production should incorporate adaptation measures to manage extreme heat and the potential for rain events during harvest.
Georgia’s potentials for sustainable intensification, increasing food security and rural incomes
Authors: Gollnow Florian , Cortner Owen , Chen Shijuan , Olofsson Pontus , Garrett Rachael 
Published: October 2024

Abstract
Increasing global demand for agricultural commodities spurs conversions of natural ecosystems. Sustainable intensification in areas of high yield gaps has been proposed as a pathway to achieve food security, support rural livelihoods, and improve resource efficiency while also reducing the impact of commodity production by narrowing yield gaps on existing agricultural lands. Following the dissolution of the Union of Soviet Socialist Republics (USSR), Georgia experienced one of the highest losses of agricultural productivity among all former USSR countries and is now highly dependent on food imports. Closing yield gaps in Georgia through sustainable intensification has the potential to increase food self-sufficiency, support rural livelihoods, and strengthen food security and sovereignty. We estimated Georgia’s potential for sustainable intensification in current agricultural areas to achieve self-sufficiency for wheat, maize, and barley. We found that crop yields can be doubled to tripled under high-input production systems, using high-yielding varieties, optimized inputs, fertilizers, and pest control. Yet, self-sufficiency in wheat can only be reached if at least 80% of the attainable yields are achieved and if land is strategically allocated between crops. To achieve such increases, farmers need access to and training for using different crop varieties, fertilizers, and pest and disease control practices and products. Intensification with very high levels of inputs can increase the ecological and human risks of agriculture and raise equity concerns. Yet, intensifying very low input agricultural production systems is often found to be more sustainable, with high yield increases compared to limited impacts on the environment. The high employment rate in the agricultural sector in Georgia provides opportunities for intensification to help reduce poverty and improve livelihoods by increasing incomes and food security.
Committing Violence
Authors: Rembis Michael 
Published: October 2024

Abstract
During the formative years of the asylum system in the United States (1830–1890), asylum commitment was a process of negotiation among mad people, families, friends, neighbors, strangers, and physicians, which often became protracted and always involved varying forms of affect and violence. Centering mad stories and mad writers in a wider account of the role of affect and violence in the history of asylum commitment reveals the multiple historical actors and many layers of interaction that shaped the creation of the asylum system and contributed to the development of a culture of surveillance that depended upon fear and sympathy, and policing and care.
Efficient protocol for isolating human fibroblast from primary skin cell cultures: application to keloid, hypertrophic scar, and normal skin biopsies
Authors: Ningsih Sri Suciati , Jusman Sri Widia A , Syaidah Rahimi , Nauli Raisa , Fadilah Fadilah 
Published: October 2024

Abstract
This protocol introduces a streamlined and efficient method for isolating human fibroblast from skin primary cell culture with a specific focus on its application to keloid, hypertrophic scar, and normal skin biopsies. Additionally, the absence of suitable animal models for keloid and hypertrophic scar has led preclinical research to rely on in vitro studies using primary cell cultures. This approach addresses the challenges of existing protocols in terms of time, cost, equipment, and technical expertise required. The method involves derivation, culture, and characterization analysis including cell proliferation, migration, and fibroblastic marker (Vimentin, CD90, CD73, and CD105) expression. Our study yielded high amounts of fibroblast from tested skin explants while maintaining their in vivo-like characteristics and behaviour. Immunostaining assay confirmed that the cultivated fibroblast was positively expressed Vimentin. Flowcytometry results showed high expression of CD90 and CD73 while relatively showing lower expression of CD105. Fibroblast derived from keloid tissue showed the highest rate of proliferation and migration ability compared to the other samples. These findings suggest an efficient and reproducible technique to cultivate high qualified fibroblast from human skin in normal or pathological condition, particularly for keloid and hypertrophic scar. The application of this protocol provides a foundation for further studies to investigate the progression and potential intervention of aberrant fibrotic dermatological disorder, in vitro.
Toward Sino-American Ideological Clash? The Lasswellian World Revolution Approach
Authors: Jo Sam-Sang 
Published: October 2024

Abstract
The power competition between the USA and China engrosses the profound fascination of scholars, beckoning them to delve into its intricacies, nuances, causes, and implications for world politics. Regardless of their perspectives on whether normative dimensions are seen as factors solely fueling strategic competition, operating autonomously, or existing within a mutually constitutive relationship with institutions and material capabilities, conventional wisdom such as realism, critical theory, and holistic approach affirms the centrality of material elements in power competition. This article adopts a constructivist lens to analyze complex patterns of international relations and power competition, acknowledging the inherent normative dimensions of power, as much more pervasive, as inherent and independent attributes of any complex, persistent pattern of international relations and, particularly, power competition. In particular, this article introduces an underexplored insight from Lasswell’s “world revolution” concept, termed the “Lasswellian world revolution.” According to this approach, no ideologies remain ascendant indefinitely, they change over time, and the ideology of a rising power often challenges that of an established power. The article contends that this framework provides a fresh lens to understand the intricate interactions between American liberal democracy and socialism with Chinese characteristics, shedding light on the dynamics of power transition and the evolving international landscape. In conclusion, the article posits that we are witnessing the “interregnum.” Unfolding in the interstice between the waning yet dominant American liberal democracy and the nascent yet fragile socialism with Chinese characteristics, this phase marks a period of rivalry and uncertainty between the USA and China.