bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical and Radiographic Outcomes of Total Elbow Arthroplasty Using a Semi‐constrained Prosthesis with a Triceps‐preserving Approach over a Minimum Follow‐up Period of 4 Years
Authors: Zhang Qing , Xiang Ming , Yang Jin‐song , Dai Fei 
Published: April 2023

ObjectiveComplications related to triceps after total elbow arthroplasty (TEA) have become a major surgical concern. The triceps‐preserving approach has the advantage of not disturbing the insertion of triceps but is disadvantaged by the reduced exposure of the elbow joint. The aim of this study was to investigate the clinical and radiological outcomes of TEA with a triceps‐preserving approach and to compare the outcomes of TEA to treat arthropathy with that of TEA to treat acute distal humerus fracture.MethodsFrom January 2010 to December 2018, 23 patients undergoing primary TEAs were retrospectively reviewed with a mean follow‐up time of 92.6 months (range, 52–136 months). Each TEA was performed using the triceps‐preserving approach with a semi‐constrained Coonrad–Morrey prosthesis. Patient demographics, range of motion (ROM), pain visual analogue scale (VAS), and triceps strength (Medical Research Council [MRC] scale) were compared before and after surgery. The Mayo Elbow Performance Score (MEPS), Disabilities of the Arm, Shoulder, and Hand (DASH) score, radiographic outcome, and complications were evaluated at follow‐up.ResultsIn total, seven males and 16 females were included in this study, with a mean age of 66.1 years (range:46–85 years). By the last follow‐up, pain had been significantly relieved in all patients. The average MEPS in the arthropathy group and fracture group were 90.8 ± 10.3 points (range: 68–98 points) and 91.7 ± 0.4 (range: 76–100 points), respectively. The average DASH of the arthropathy group and fracture group was 37.3 ± 18.8 points (range: 18–52 points) and 38.4 ± 20.1 (range: 16–60 points). At the last follow‐up after surgery, the mean flexion arcs in the arthropathy group and fracture group were 100.4° ± 24.1° and 97.8° ± 28.1°, respectively. The mean pro‐supination arcs in the arthropathy group and fracture group were 142.4° ± 15.2° and 139.2° ± 17.5°, respectively. There were no significant differences in clinical outcomes between the two groups (P ≥ 0.05). Triceps strength was normal (MRC grade V) in 15 elbows and good in eight elbows. None of the cases experienced weakness of the triceps strength, infection, periprosthetic fractures, or prosthesis breakage.ConclusionsThe clinical and radiographical outcomes of TEA with the triceps‐preserving approach were satisfactory in patients with distal humerus fracture, osteoarthritis and rheumatoid arthritis.
Identification of drainage patterns using a graph convolutional neural network
Authors: Liu Chengyi , Zhai Renjian , Qian Haizhong , Gong Xianyong , Wang Andong , Wu Fang 
Published: April 2023

AbstractVarious geological factors shape drainage patterns. Identifying drainage patterns is a classic problem in topographical knowledge mining and map generalization. Existing rule‐based methods rely heavily on the parameter settings of cartographers for drainage‐pattern recognition. These methods effectively identify drainage patterns in specific areas but require manual parameter tuning to identify drainage patterns in other areas. Owing to the complexity of topological and geometric characteristics, drainage pattern recognition involves nonlinear problems, and it is difficult to build mapping relationships between characteristics and patterns using rule‐based methods. Therefore, we proposed a data‐driven method based on a graph convolutional neural network to avoid heavy reliance on human experience and automatically mine implicit relationships between characteristics and drainage patterns. First, six typical drainage patterns (dendritic, rectangular, parallel, trellis, reticulate, and fanned) were listed based on map specifications, and the unique characteristics of each drainage pattern were illustrated. Subsequently, the drainage graphs were constructed. The characteristics of the whole, local, and individual units in the drainage networks were quantified based on drainage vector data. Finally, an identification model was developed using graph convolution, self‐attention pooling, and multiple fully connected layers for drainage pattern recognition. After training and testing, the accuracy of our model (0.801 ± 0.014) was better than that of the rule‐based method (0.572 ± 0.000) and the traditional machine learning methods (less than 0.733 ± 0.016). The results demonstrate that the ability of our model to identify drainage patterns surpasses that of other methods.
Experiences and perceptions of military and emergency services personnel identifying as LGBTQIA+ and their families: a qualitative systematic review protocol
Authors: Dobek Philip , Bowen Henry , Callaghan Peta 
Published: April 2023

Objective:
The objective of this review is to explore the perceptions and experiences of military and emergency personnel who identify as lesbian, gay, bisexual, transgender, questioning, intersex, asexual, or other (LGBTQIA+), and the perceptions and experiences of their families.

Introduction:
LGBTQIA+ military and emergency first response personnel report disproportionately poorer career and personal outcomes than their cisgender and heterosexual counterparts. Research examining the underlying lived experiences and perceptions of people serving who are LGBTQIA+, particularly those of their family members, is sparse. Hence, the aim of this review is to identify, aggregate, and synthesize relevant qualitative research findings.

Inclusion criteria:
This review will consider studies of LGBTQIA+ military or emergency first response personnel and their families that include qualitative data capturing their experiences and perceptions of navigating industrial institutions and service communities. Military personnel include those employed in any role within any military organization; emergency first response personnel will include ambulance workers, paramedics, police, firefighters, and other public safety roles. Families will be limited to any configuration of immediate family members of active or retired LGBTQIA+ service personnel. No limits will be applied to the age of service personnel or their family members, nor to duration or chronology of service.

Methods:
Databases searched will include PsycINFO, PubMed Central, ProQuest Central, Scopus, MEDLINE, Embase, and PTSDpubs. Domain-specific journals will be manually searched, and gray literature and unpublished studies will be searched via ProQuest Central. Study screening and selection against inclusion criteria will be performed in Covidence. Data extraction and critical appraisal will be performed using the standardized JBI templates and checklists for qualitative research. All stages will be performed by 2 independent reviewers, with conflicts resolved by a third reviewer.

Review registration:
PROSPERO CRD42022323913
Macrophage microvesicle‐derived circ_YTHDF2 in methamphetamine‐induced chronic lung injury
Authors: Chen Lei , Gu Ying‐Jian , Zhang Xiang‐Gui , Cheng Lin , Zhou Ming‐Yuan , Yang Yue , Wang Yun 
Published: April 2023

AbstractLong‐term abuse of methamphetamine (MA) can cause lung toxicity. Intercellular communication between macrophages and alveolar epithelial cells (AECs) is critical for maintaining lung homeostasis. Microvesicles (MVs) are an important medium of intercellular communication. However, the mechanism of macrophage MVs (MMVs) in MA‐induced chronic lung injury remains unclear. This study aimed to investigate if MA can augment the activity of MMVs and if circ_YTHDF2 is a key factor in MMV‐mediated macrophage–AEC communication, and to explore the mechanism of MMV‐derived circ_YTHDF2 in MA‐induced chronic lung injury. MA elevated peak velocity of the pulmonary artery and pulmonary artery accelerate time, reduced the number of alveolar sacs, thickened the alveolar septum, and accelerated the release of MMVs and the uptake of MMVs by AECs. Circ_YTHDF2 was downregulated in lung and MMVs induced by MA. The immune factors in MMVs were increased by si‐circ_YTHDF. Circ_YTHDF2 knockdown in MMVs induced inflammation and remodelling in the internalised AECs by MMVs, which was reversed by circ_YTHDF2 overexpression in MMVs. Circ_YTHDF2 bound specifically to and sponged miRNA‐145‐5p. Runt‐related transcription factor 3 (RUNX3) was identified as potential target of miR‐145‐5p. RUNX3 targeted zinc finger E‐box‐binding homeobox 1 (ZEB1)‐related inflammation and EMT of AECs. In vivo, circ_YTHDF2 overexpression‐MMVs attenuated MA‐induced lung inflammation and remodelling by the circ_YTHDF2–miRNA‐145‐5p–RUNX3 axis. Therefore, MA abuse can induce pulmonary dysfunction and alveolus injury. The immunoactivity of MMVs is regulated by circ_YTHDF2. Circ_YTHDF2 in MMVs is the key to communication between macrophages and AECs. Circ_YTHDF2 sponges miR‐145‐5p targeting RUNX3 to participate in ZEB1‐related inflammation and remodelling of AECs. MMV‐derived circ_YTHDF2 would be an important therapeutic target for MA‐induced chronic lung injury.
imageKey points
Methamphetamine (MA) abuse induces pulmonary dysfunction and alveoli injury.
The immunoactivity of macrophage microvesicles (MMVs) is regulated by circ_YTHDF2.
Circ_YTHDF2 in MMVs is the key to MMV‐mediated intercellular communication between macrophages and alveolar epithelial cells.
Circ_YTHDF2 sponges miR‐145‐5p targeting runt‐related transcription factor 3 (RUNX3) to participate in zinc finger E‐box‐binding homeobox 1 (ZEB1)‐related inflammation and remodelling.
MMV‐derived circ_YTHDF2 would be an important therapeutic target for MA‐induced chronic lung injury.
Designing Topological Acoustic Lattices via Electroacoustic Analogies
Authors: Al Ba’ba’a Hasan B. , Lee Kyung Hoon , Wang Qiming 
Published: April 2023

Abstract
Topological acoustics has recently witnessed a spurt in research activity, owing to their unprecedented properties transcending typical wave phenomena. In recent years, the use of coupled arrays of acoustic chambers has gained popularity in designing topological acoustic systems. In their common form, an array of acoustic chambers with relatively large volume is coupled via narrow channels. Such configuration is generally modeled as a full three-dimensional system, requiring extended computational time for simulating its harmonic response. To this end, this article establishes a comprehensive mathematical treatment of the use of electroacoustic analogies for designing topological acoustic lattices. The potential of such analytical approach is demonstrated via two types of topological systems: (i) edge states with quantized winding numbers in an acoustic diatomic lattice and (ii) valley Hall transition in an acoustic honeycomb lattice that leads to robust waveguiding. In both cases, the established analytical approach exhibits an excellent agreement with the full three-dimensional model, whether in dispersion analyses or the response of an acoustic system with a finite number of cells. The established analytical framework is invaluable for designing a variety of acoustic topological insulators with minimal computational cost.
A Machine Learning Approach for Real-Time Wheel-Rail Interface Friction Estimation
Authors: Folorunso Morinoye O. , Watson Michael , Martin Alan , Whittle Jacob W. , Sutherland Graham , Lewis Roger 
Published: April 2023

Abstract
Predicting friction at the wheel-rail interface is a key problem in the rail industry. Current forecasts give regional-level predictions, however, it is well known that friction conditions can change dramatically over a few hundred meters. In this study, we aimed to produce a proof-of-concept friction prediction tool which could be used on trains to give an indication of the limiting friction present at a precise location. To this end, field data including temperature, humidity, friction, and images were collected. These were used to fit a statistical model including effects of local environmental conditions, surroundings, and railhead state. The model predicted the friction well with an R2 of 0.97, falling to 0.96 for naive models in cross validation. With images and environmental data collected on a train, a real-time friction measurement would be possible.
Parametric Analysis and Design of a Power Plant to Recover Low-Grade Heat From Data Center Electronics by Using Liquid Nitrogen
Authors: Corigliano O. , Florio G. , Fragiacomo P. 
Published: April 2023

Abstract
The purpose of this article is to expound recovery of low-grade heat deriving from cooling data center electronics, in order to sustain a thermodynamic cycle of the Rankine type, using cryogenic nitrogen as the working fluid. A novel conception of an energy plant is proposed and considered where these resources are available. The evaporator, built in a closed and thermally insulated vessel, is the key component. Liquid nitrogen is evaporated by means of an immersed serpentine, which provides for thermal power and produces pressurized gas. A supplementary reservoir acts as superheater, as well as buffer. The plant is completed with a turbo-expander that generates power and a pump to recirculate the fluid. A thermodynamic model is developed. A dimensioning procedure for all the subsystems is reported, while a verification analysis is made to detect the maximum pressure that can be exerted. Hence, an in-depth parametric analysis is made for two-plant layout scenarios, based on the presence (1) and absence (2) of the supplementary tank. The simulations are aimed at determining all the operating parameters of the plant, as well as the performance. The results show that pressure is beneficial for performance, presenting scenario 1 as better than scenario 2. The maximum nitrogen pressurization is 12 bar, which corresponds to an electric efficiency of 31.5%, under a thermal supply of 2.79 kW per 1 kW of net electric power produced.
Numerical Analysis of Spray Characteristics With Methane and Nanoparticles Under Various Injection Velocities
Authors: Anderson A. , Karthikeyan L. , Sahoo Dillip K. , Mallika M. , Prakash S. 
Published: April 2023

Abstract
Utilization of numerical simulations has been increased rapidly to test many innovative concepts in the field of advanced fuel technologies. Implementation of chemical compound's interaction is viable option by numerical tools. Hence in this current study, the numerical simulation has been performed to evaluate the effect of spray velocities on the mass fraction of various compounds. The conceptual numerical domain has been constructed with mixture of two inlets such as air and CH4 using ansys-cfd. In addition to the CH4, the nanoparticles were injected in the same inlet using the volume of fluid method. The fuel was injected at different velocities varied from 100 m/s to 175 m/s, under the intervals of 25 m/s. Here two sections of the domains are created, one for the oxidizers and another for the CH4 with nanoparticles. Throughout the entire trial runs, the nanoparticle concentration has been maintained constant. A series of the pictorial contours have been captured to understand the influence of the fuel impinging characteristics and reaction rates in the combustion chamber. The results revealed that CH4 injection enhances the vortices formation inside the combustion chamber. Furthermore, turbulence intensity inside the chamber is high which delays the reaction time and leads to the higher combustion indeed.
Potential of Integrating Solar Energy into Systems of Thermal Power Generation, Cooling-Refrigeration, Hydrogen Production, and Carbon Capture
Authors: Habib Mohamed A. , Haque Md Azazul , Imteyaz Binash , Hussain Muzafar , Abdelnaby Mahmoud M. 
Published: April 2023

Abstract
Global warming due to the accumulation of CO2 in the atmosphere has directed global attention toward the adaptation of renewable energies and the use of renewable energy resources, like solar energy. Solar energy utilization could contribute to clean energy production, which is continuously needed due to increased population and industrialization. Recent increasing anxieties over energy sustainability and the preservation of the falling global ecosystem have renewed the expedition for extra efficient and economical processes for the utilization of renewable energy. Various approaches have been developed for the effective utilization of solar energy in different fields, which are highlighted in this work. In power generation, solar energy is utilized in preheating the air upstream of the combustion chamber in gas turbines and in waste heat recovery for combined-cogeneration cycles. It can also be used in Rankine cycles of thermal power plants utilizing low critical temperature gases such as CO2. In cooling and refrigeration systems, solar energy is utilized in reboilers, absorption, and mechanical cooling systems. Solar energy can also be utilized to produce clean fuels such as H2 production either from water splitting or from light and heavy fuels via fuel reforming and membrane separation. In addition, solar systems can be integrated to carbon capture applications in each of its three technologies of precombustion, oxyfuel combustion, and post-combustion. Integration of solar energy in these processes is reviewed comprehensively in this work. Thus, the solar energy in power generation, cooling-refrigeration, hydrogen production-storage, and carbon capture technologies are analyzed and evaluated.
State-of-Charge Estimation of Ultracapacitor Based on H Infinity Filter Considering Variable Temperature
Authors: Wang Chun , Zhang Qiang , Tang Aihua , Xu Wenna 
Published: April 2023

Abstract
The performance and service life of ultracapacitors are highly dependent on accurate modeling and state-of-charge (SOC) estimating. To overcome the model parameter errors caused by the various temperatures and different SOC intervals, the H infinity filter (HIF) is employed to estimate the ultracapacitor SOC based on a variable temperature model. For the application of the HIF method, the Thevenin model is first developed with a small terminal voltage estimation error. Then, the model parameters are optimally identified using the ant colony optimization (ACO) algorithm. Next, a variable temperature model is established to improve the adaptability of the ultracapacitor model, and the HIF is utilized for the ultracapacitor SOC estimation. Finally, to verify the performance of the variable temperature model and the proposed SOC estimation method, a series of experiments are conducted. The analysis results illustrate that the mean absolute error (MAE) of the SOC estimation values based on the variable temperature model is decreased by 39.62% compared to the one based on the nonvariable temperature model. Meanwhile, the proposed state estimation scheme based on the variable temperature model is accurate with estimation values maximum error (ME) and root-mean-squared error (RMSE) less than 0.80% and 0.60%, respectively. The HIF-based SOC estimation method also shows a good robustness with a short convergence time within 90.00 s when the SOC initial error is set to 0.20.
Role Models and Athlete Expression at the Youth Olympic Games as Impactful Sport Communication Practices
Authors: Stålstrøm Jannicke , Iskhakova Marina , Pedersen Zack P. 
Published: April 2023

This study investigated athlete expressions and the impact that Olympian (OLY) role models have on athletes participating at the Youth Olympic Games (YOG), with a focus on the YOG educational program. The YOG educational program was created in 2010 and has not yet garnered extensive scholarly examination. Therefore, the aim of the current investigation was to develop an understanding of the impact that OLY role models have on YOG athletes and the communicative practices young athletes use to express themselves. This study used a mixed methodology (i.e., survey and interviews) and drew on three theories (i.e., social learning theory, role model theory, and communicative theory of expression) to better understand the aforementioned impact of OLY role models on YOG athletes. An examination of the communicative expression practices of OLY role models, through the mixed methodological approach, produced novel findings pertaining to YOG athlete perceptions of the structure and benefit of the educational program.
“From a Learning Perspective, It’s a Better Way for Them to Learn”: Impact of an Education Program on Two Youth Soccer Coaches’ Perspectives and Practices
Authors: Barnes Colin S. , Curtner-Smith Matthew D. 
Published: April 2023

Purpose: To describe the following: (a) the impact of a progressive coach education program (CEP) on two grassroots youth soccer coaches’ perspectives and practices, and (b) the factors that helped and hindered the CEP’s effectiveness. Methods: Occupational socialization theory framed the study. Andros and Christian were observed during the CEP and pre- and post-CEP while coaching practices and games. Data were collected with four qualitative techniques and two systematic observation instruments. Qualitative data were reduced to themes by employing analytic induction and constant comparison. Descriptive statistics were computed for the categories in the systematic observation instruments. Findings: The CEP had a significant impact on Andros and a negligible one on Christian. The two coaches’ occupational socialization helped explain these differential effects. Conclusions: The study suggests that CEPs should have a greater impact on coaches if they are relatively lengthy, include follow-up support, and coach educators are aware of coaches’ acculturation and organizational socialization.