bluuebunny/crossref_metadata_2025 huggingface dataset:
The Research–Practice Dialogue in Second Language Learning and Teaching: Past, Present, and Future
Authors: Sato Masatoshi , Loewen Shawn
Published: October 2022

This article explores ways in which a dialogue between researchers and practitioners can be bidirectional, effective, and beneficial for the two professional communities. We suggest concrete directions for second language (L2) research: (a) a collaborative mindset, (b) the nature of research, (c) venues for dialogue, and (d) institutional support. First, we argue that we, researchers and teachers alike, can develop a collaborative mindset and understand that the dialogue is established by equal contributions and benefits. Second, we discuss that if a researcher's intention is to impact practice, they need to consider the practice relevance of their studies. We propose practice‐based research, in which practitioners and researchers work together for development and implementation of research. Third, we explore venues where reciprocal contributions may be explored, including teacher‐training programs, professional development workshops, and university–school collaborations. Finally, we share our hopes that institutions (universities and schools) will provide support for researchers and practitioners that would help create and facilitate reciprocal relationships, such as time release and promotive incentives. Overall, we argue that researchers shoulder the lion's share of responsibility in paving a path for a productive research–practice dialogue in the future.
Biological abdominal wall expansion in pediatric liver recipients after transplantation with large‐for‐size organs
Authors: Goetz Markus , Jurczyk Maria , Grothues Dirk , Knoppke Birgit , Junger Henrik , Melter Michael , Schlitt Hans J. , Brunner Stefan M. , Brennfleck Frank W.
Published: October 2022

Background

After pediatric split liver transplantation, intra‐abdominal loss of domain due to large‐for‐size left lateral grafts is a frequent problem for fascial closure and potentially leads to reduced liver perfusion and abdominal compartment syndrome. Therefore, delayed fascial closure with the use of temporary silastic meshes and reoperation or alternative fascial bridging procedures are necessary.

Methods

Between March 2019 and October 2021, biologic meshes were used for abdominal wall expansion in 6 cases of pediatric split liver transplantation. These cases were analyzed retrospectively.

Results

One male and 5 female children with median age of 6 months (range: 0–57 months) and weight of 6 kg (range: 3.5–22 kg) received a large‐for‐size left lateral graft. Graft‐to‐recipient weight ratio (GRWR) was 4.8% (range: 1.5%–8.5%) in median. Biologic mesh implantation for abdominal wall expansion was done in median 7 days (range: 3–11 days) after transplantation when signs of abdominal compartment syndrome with portal vein thrombosis in 3 and of the liver artery in 1 case occurred. In 2 cases, bovine acellular collagen matrix and 4 cases ovine reinforced tissue matrix was used. Median follow‐up was 12.5 months (range: 4–28 months) and showed good liver perfusion by sonography and normal corporal development without signs of ventral hernia. One patient died because of fulminant graft rejection and emergency re‐transplantation 11 months after the initial transplantation.

Conclusions

Biologic meshes can be used as safe method for abdominal wall expansion to achieve fascial closure in large‐for‐size liver transplant recipients. Usage for primary fascial closure can be considered in selected patients.
Mixed‐model assembly lines with variable takt and open stations
Authors: Huchzermeier Arnd , Mönch Tobias
Published: October 2022

Industry trends such as product customization, radical innovation, and local production accelerate the adoption of mixed‐model assembly lines (MMALs) that can cope with a widening gap between model processing times and true build to order capabilitiy. The existing high work content deviations on such assembly lines stress production planning, especially the assembly line sequencing. Most manufacturers set the launching rate for all assembly line products to a fixed launching rate resulting in rising utility work and idle time when system load increases. We present an “ideal” variable rate launching (VRL) case resulting in minimal computation and achieving 100% productivity (full elimination of idle time and utility work) for balanced assembly times and homogeneous station lengths. Managers should foster the ideal circumstances where operators need not wait for a preceding task to be completed and product sequence restrictions are eliminated, thus enabling unmatched production flexibility. Furthermore, we present a mixed‐integer model to analyze both closed and open workstations on an MMAL for fixed rate launching and VRL. This model incorporates costs not only for labor inefficiencies but also for extending the line length. We present a heuristic solution method when process times and station lengths are heterogeneous and demonstrate that the variable takt dominates the fixed takt. In a numerical, industrial benchmark study, we illustrate that a VRL strategy with open stations has significantly lower labor costs as well as a substantially reduced total line length and thus lower throughput time.
Anarchism/anachronism: Mobilising archiveology against an urban chronopolitics of dispossession
Authors: Collins Erin
Published: October 2022

While moments of historic rupture do usher in radically new conditions for claiming urban space and power, the eras they cleave do not align neatly in the lives of the urban precariat. Rather, they overspill and interdigitate, saturating the present. This paper vivifies heterotemporality as an analytic, rather than descriptive, category for urban politics and scholarship. Drawing together Walter Benjamin's radical mode of historical and image‐centric inquiry with Mimi Nguyen's and Dai Jinhua's critiques of recombinant imperial formations, I seek to unsettle the uncritical chronopolitics of rupture that has practically and discursively undergirded dispossession in Phnom Penh, Cambodia. Arguing against strategic representations of urban rupture as only a break from the past, I offer instead a dialectical conception of rupture as interacting movements of break and amplification of the past in the present. Advancing ‘archiveology’ as an urban research praxis that activates a heterotemporal, collective urban archive – composed of the built landscape, oral accounts, historical records and filmic representations – shocks the potential of what has been, constellating alternative politics of the present. I suggest that this theoretical‐methodological framework offers critical insights beyond Phnom Penh, especially for other historic‐geographies that have been strategically attenuated via categorical post‐s (e.g., post‐colonial, post‐socialist, post‐conflict).
Tick‐borne encephalitis epidemic in Hungary 1951–2021: The story and lessons learned
Authors: Egyed László , Nagy Anna , Lakos András , Zöldi Viktor , Lang Zsolt
Published: October 2022

The authors analysed epidemiological data of the Hungarian tick‐borne encephalitis epidemic from the past seven decades. A total of 911 meningitis serosa cases were described from 1930‐1950 s by local hospital physicians, indicating that the virus had been present in the country decades before its official identification in 1952. The virus spread freely in the 1950s–1960s, occupying almost all habitats where ticks occurred in large numbers. The increasing number of cases drove authorities to classify this illness as a notifiable disease in 1977 and to organize the first measures to stop the epidemic. Statistical analysis revealed that the large‐scale vaccination launched from the 1990s was responsible for the sharp decrease in the number of human cases from 1997. A significant negative correlation was found between the number of vaccine doses sold and human cases 6 years later. The TBEV endemic area covers 16.57% of the territory and 16.65% of the population of the country. In the last 10 years, 186,000 vaccine doses/year in average were enough to keep the incidence of human TBEV infections between 0.45 and 0.06/100,000 persons. A 20‐year‐long study found evidence for easing clinical signs in TBEV‐infected hospitalized patients. Statistics found a sharp decrease in the number of samples sent for TBEV diagnosis after 1989. Male dominance of patients was characteristic of the epidemics since the 1940s, but now analysis of detailed data from the 1981–2021 period (60.5%–87.5%) proved the statistical significance of this dominance. Obviously, the voluntary vaccination programme was the tool which broke the spread of the epidemic. Widespread public awareness of the disease and the tick vector, probable evolutionary spread of less pathogenic virus strains supplemented with the vaccination campaign led to a negligible level of human TBE cases in Hungary in the last years.
Adaptive Process Planning for Additive/Subtractive Hybrid Manufacturing of Overhang Features
Authors: Bai Qian , Gao Yingming , Qiao Guowen , Kang Renke , Zhang Yingwei
Published: October 2022

Additive/subtractive hybrid manufacturing (ASHM) combines the selective laser melting (SLM) with precision milling for a better surface finish as well as geometric and dimensional accuracies of a part. In the SLM-based ASHM, the inherent characteristic of the powder bed determines that the AM and milling process are both three-axis. To produce a complex part with overhang features, alternations between SLM and milling are needed. The alternating sequence is of significance in the overall process: a large slab height of continuous SLM may cause tool/part collision; while a small slab height could reduce the fabrication efficiency. In addition, the remelting of the material during SLM causes the distortion of substantial machined surface, and thus deteriorates the surface finish of a part. However, there have little published reports on process planning for three-axis SLM-based ASHM with the consideration of alternation planning and surface finish improvement. This paper proposed a new adaptive process planning method, in which maximum slab heights of continuous SLM were calculated adaptively, and the shielding height was also employed to protect the machined surface. The overhang angles at different locations of a typical complex part were calculated by a triangular facet method. A collision detection method to justify the interference of the tool and as-built part was proposed, and the maximum slab heights were then determined. ASHM experiment was conducted to fabricate small samples with different overhang angles, and the shielding height was determined based on the surface quality. A propeller with overhang features was manufactured using this new planning method. The result shows that the proposed method improved the fabrication efficiency, reduced the number of process alternations as well as improved the surface finish.
Hierarchical Porous Structure Fabrication Via Hybrid Stereolithography and Inkjet Printing With Sacrificial Liquid
Authors: Yoon Yeowon , Xu Yang , Chen Yong
Published: October 2022

Inspired by porous morphology in nature, such as bone and lung tissues, synthetic porous materials are widely adopted in engineering applications that require lightweight, thermal resistance, energy absorption, and structural flexibility. One of the main challenges in the current porous material manufacturing techniques is their limited control over individual pore size, connectivity, and distribution. This paper presents a novel additive manufacturing process to fabricate porosity-embedded structures by integrating stereolithography and inkjet printing using a sacrificial liquid–water. A solenoid-based inkjet nozzle dispenses water droplets onto a layer of liquid photopolymer resin. Then the resin layer is photocured by a mask image projection device using a digital light processing device. The photocuring process defines the layer profile and captures the deposited water droplets in the solidified layer. The refilled fresh resin will further embed water droplets and form a new layer for the subsequent water droplet deposition. Three-dimensional (3D) structures with embedded water droplets can be printed layer-by-layer. The captured water will evaporate when heated, leaving an air-filled porous 3D structure. By selectively depositing water droplets and varying inkjet printing parameters, including pressure, nozzle opening time, and jetting frequency, the micropores whose sizes from 100 µm to 500 µm and distributions within the 3D-printed part can be modulated. This hybrid process can fabricate 3D structures with homogenously distributed pores and graded polymer structures with varying porosities. The elastic modulus of 3D-printed foam structures in different pore distributions has been tested and compared.
GAN-DUF: Hierarchical Deep Generative Models for Design Under Free-Form Geometric Uncertainty
Authors: Chen Wei (Wayne) , Lee Doksoo , Balogun Oluwaseyi , Chen Wei
Published: October 2022

Deep generative models have demonstrated effectiveness in learning compact and expressive design representations that significantly improve geometric design optimization. However, these models do not consider the uncertainty introduced by manufacturing or fabrication. The past work that quantifies such uncertainty often makes simplifying assumptions on geometric variations, while the “real-world,” “free-form” uncertainty and its impact on design performance are difficult to quantify due to the high dimensionality. To address this issue, we propose a generative adversarial network-based design under uncertainty framework (GAN-DUF), which contains a deep generative model that simultaneously learns a compact representation of nominal (ideal) designs and the conditional distribution of fabricated designs given any nominal design. This opens up new possibilities of (1) building a universal uncertainty quantification model compatible with both shape and topological designs, (2) modeling free-form geometric uncertainties without the need to make any assumptions on the distribution of geometric variability, and (3) allowing fast prediction of uncertainties for new nominal designs. We can combine the proposed deep generative model with robust design optimization or reliability-based design optimization for design under uncertainty. We demonstrated the framework on two real-world engineering design examples and showed its capability of finding the solution that possesses better performance after fabrication.
Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human–Robot Collaboration
Authors: Liao Hao-yu , Chen Yuhao , Hu Boyi , Behdad Sara
Published: October 2022

Disassembly is an essential step for remanufacturing end-of-life (EOL) products. Optimization of disassembly sequences and the utilization of robotic technology could alleviate the labor-intensive nature of dismantling operations. This study proposes an optimization framework for disassembly sequence planning under uncertainty considering human–robot collaboration. The proposed framework combines three attributes: disassembly cost, safety, and complexity of disassembly, namely disassembleability, to identify the optimal disassembly path and allocate operations between human and robot. A multi-attribute utility function is used to address uncertainty and make a tradeoff among multiple attributes. The disassembly time reflects the cost of disassembly which is assumed to be an uncertain parameter with a Beta distribution; the disassembleability evaluates the feasibility of conducting operations by robot; finally, the safety index ensures the protection of human workers in the work environment. An example of dismantling a desktop computer is used to show the application. The model identifies the optimal disassembly sequence with less disassembly cost, high disassembleability, and increased safety index while allocating disassembly operations among human and robot. A sensitivity analysis is conducted to show the model's performance when changing the disassembly cost for the robot.
Galerkin equivalent sources method for sound field reconstruction around diffracting bodies
Authors: Chambon Joannès , Antoni Jérôme , Bouley Simon
Published: October 2022

The rising interest for three-dimensional acoustic imaging requires the improvement of the numerical models describing the propagation between a radiating body and a microphone array. The commonly used free field transfer functions boil down to assume a full acoustic transparency of the radiating object, which, in some cases, may lead to misleading outcomes for their characterization. Among other approaches, equivalent sources methods (ESM) emerged as a convenient and powerful approach to simulate scattered sound fields. In this paper, an acoustic imaging algorithm, named Galerkin ESM, where equivalent sources are tailored to concomitantly match with microphone pressures and a Neumann boundary condition, is proposed. By means of a projected matrix inversion and backpropagation of the equivalent sources, Galerkin ESM aims at the direct synthesis of the pressure field around a diffracting body by making the most of an array measurement. This method is compared with two other existing imaging algorithms fueled by free field and computed transfer functions. The impact of the chosen transfer model is discussed, and Galerkin ESM performances are evaluated based on numerical and experimental test cases.
In Other Journals
Authors: Hurtley Stella M. , Ray L. Bryan , Grocholski Brent , Stern Peter , Szuromi Phil , Alderton Gemma , Osborne Ian S.
Published: October 2022

Editors’ selections from the current scientific literature
Exploring Cluster-Dependent Antibacterial Activities and Resistance Pathways of NOSO-502 and Colistin against Enterobacter cloacae Complex Species
Authors: Pantel Lucile , Guérin François , Serri Marine , Gravey François , Houard Jessica , Maurent Kelly , Attwood Marie , Noel Alan , MacGowan Alasdair , Racine Emilie , Cattoir Vincent , Gualtieri Maxime
Published: October 2022

The
Enterobacter cloacae
complex (ECC) is a group of diverse environmental and clinically relevant bacterial species associated with a variety of infections in humans. ECC have emerged as one of the leading causes of nosocomial infections worldwide.
Draft Genome Sequences of Fungi Isolated from Mars 2020 Spacecraft Assembly Facilities
Authors: Chander Atul M. , Singh Nitin K. , Simpson Anna C. , Seuylemezian Arman , Mason Christopher E. , Venkateswaran Kasthuri
Published: October 2022

During the Mars 2020 mission, several fungal strains were isolated from surfaces where spacecraft components were assembled. Draft genome sequencing and characterization will help identify the genes responsible for radiation resistance, supporting the development of countermeasures to prevent fungal contamination of extraterrestrial environments.
Physiological and Genetic Regulation for High Lipid Accumulation by
Chlorella sorokiniana
Strains from Different Environments of an Arctic Glacier, Desert, and Temperate Lake under Nitrogen Deprivation Conditions
Authors: Zou Shanmei , Huang Zheng , Wu Xuemin , Yu Xinke
Published: October 2022

It is important to reveal the physiological and genetic regulation mechanisms of microalgae for screening potential strains with high lipid production. Our results showed that
Chlorella sorokiniana
strains from arctic glacier, desert, and temperate native lake had different growth, biochemical composition, and genetic expression under N deprivation.
Supplemental Material: Stratigraphy of the Eocene–Oligocene Titus Canyon Formation, Death Valley, California, and Eocene extensional tectonism in the Basin and Range
Authors: Midttun N. , al. et
Published: October 2022

Table S1: Analytical data for Titus Canyon detrital zircon U-Pb analyses. Table S2: Analytical data for Titus Canyon zircon (U-Th)/He analyses. Table S3: Analytical data for 40Ar/39Ar ages of Gutenkunst (2006).  
Outcomes of paediatric patients who are not transported to hospital by Emergency Medical Services: a data linkage study
Authors: Nehme Emily , Nehme Ziad , Cox Shelley , Smith Karen
Published: October 2022

Background

Data on the safety of non-transport decisions for paediatric patients attended by Emergency Medical Services (EMS) are lacking. We describe the characteristics and outcomes of paediatric non-transported patients in Victoria, Australia.

Methods

A retrospective data linkage study of consecutive paediatric (aged <18 years) non-transported patients between January 2015 and June 2019. Patients were linked to ED, hospital admission and death records. Multivariable logistic regression analyses were used to determine factors associated with EMS recontact, ED presentation, hospital admission and an adverse event (death/cardiac arrest, intensive care unit admission or highest ED triage category) within 48 hours of the initial emergency call.

Results

In total, 62 975 non-transported patients were included. The mean age was 7.1 (SD 6.0) years and 48.9% were male. Overall, 2.2% recontacted the EMS within 48 hours, 13.7% self-presented to a public ED, 2.4% were admitted to hospital and 0.1% had an adverse event, including two deaths. Among patients with paramedic-initiated non-transport (excluding transport refusals and transport via other means), 5.6% presented to a public ED, 1.1% were admitted to hospital and 0.05% had an adverse event. In the overall population, an abnormal vital sign on initial assessment increased the odds of hospital admission and an adverse event. Among paramedic-initiated non-transports, cases occurring in the early hours of the morning (04:00–08:00 hours) were associated with increased odds of subsequent hospital admission, while the odds of ED presentation and hospital admission also increased with increasing prior exposure to non-transported cases.

Conclusion

Adverse events were rare among paramedic-initiated non-transport cases. Vital sign derangements and attendance by paramedics with higher prior exposure to non-transports were associated with poorer outcomes and may be used to improve safety.
Towards the prevention of sexually transmitted infections (STIs): Healthcare-seeking behaviour of women with STIs or STI symptoms in sub-Saharan Africa
Authors: Seidu Abdul-Aziz , Aboagye Richard Gyan , Okyere Joshua , Adu Collins , Aboagye-Mensah Richard , Ahinkorah Bright Opoku
Published: October 2022

Objective

Sexually transmitted infections (STIs) constitute major public health problems because of their prevalence and contribution to mortality and morbidity worldwide. Healthcare seeking for STIs plays a significant role in the global prevention of STIs. We examined the prevalence and factors associated with healthcare seeking for STIs or STI symptoms among women in sub-Saharan Africa (SSA).

Methods

Data on 38 394 women of reproductive age from the most recent Demographic and Health Surveys of 28 countries in SSA were analysed. Percentages were used to summarise the prevalence of healthcare seeking for STIs or STIs symptoms. The factors associated with healthcare seeking for STIs or STI symptoms were examined using multilevel binary logistic regression analysis. We presented the results using adjusted odds ratios (aORs) with 95% confidence intervals (CIs).

Results

Overall, the proportion of women with STIs or STI symptoms who sought healthcare was 66.1%, with the highest and lowest proportion found in Liberia (85.6%) and Ethiopia (37.9%) respectively. The likelihood of seeking healthcare for STIs or STI symptoms increased with increasing wealth quintile and level of education. Working women, older women, cohabiting women, women with comprehensive HIV/AIDS knowledge, women exposed to mass media, those who had no barrier to healthcare access, and those covered by health insurance had greater odds of seeking treatment for STIs or STI symptoms. On the contrary, the odds of seeking treatment for STIs or STI symptoms was lower among married women and women who lived in rural areas.

Conclusion

The findings of the study call for strengthening of policies, programmes, and interventions geared towards improving thehealthcare-seeking behaviour of women with STIs, taking into consideration the factors identified in this study.
Exotic molecular meson states of $$B^{(*)} K^{(*)}$$ nature
Authors: Oset E. , Roca L.
Published: October 2022

We evaluate theoretically the interaction of the open bottom and strange systems$${{\bar{B}}}{{\bar{K}}}$$B¯K¯,$${{\bar{B}}^*}{{\bar{K}}}$$B¯∗K¯,$${{\bar{B}}}{{\bar{K}}^*}$$B¯K¯∗and$${{\bar{B}}^*}{{\bar{K}}^*}$$B¯∗K¯∗to look for possible bound states which could correspond to exotic non-quark–antiquark mesons since they would contain at least oneband onesquarks. The s-wave scattering matrix is evaluated implementing unitarity by means of the Bethe–Salpeter equation, with the potential kernels obtained from contact and vector meson exchange mechanisms. The vertices needed are supplied from Lagrangians derived from suitable extensions of the hidden gauge symmetry approach to the bottom sector. We find poles below the respective thresholds for isospin 0 interaction and evaluate the widths of the different obtained states by including the main sources of imaginary part, which are the$$B^*\rightarrow B\gamma $$B∗→Bγdecay in the$${{\bar{B}}^*}{{\bar{K}}}$$B¯∗K¯channels, the$$K^*\rightarrow K \pi $$K∗→Kπin the channels involving a$$K^*$$K∗, plus the box diagrams with$${{\bar{B}}}{{\bar{K}}}$$B¯K¯and$${{\bar{B}}^*}{{\bar{K}}}$$B¯∗K¯intermediate states for the$${{\bar{B}}^*}{{\bar{K}}^*}$$B¯∗K¯∗channels.
3D mirror symmetry and the βγ VOA
Authors: Ballin Andrew , Niu Wenjun
Published: October 2022

We study the simplest example of mirror symmetry for 3d [Formula: see text] SUSY gauge theories: the A-twist of a free hypermultiplet and the B-twist of SQED. We particularly focus on the category of line operators in each theory. Using the work of Costello–Gaiotto, we define these categories as appropriate categories of modules for the boundary vertex operator algebras present in each theory. For the A-twist of a free hyper, this will be a certain category of modules for the [Formula: see text] VOA, properly containing the category previously studied by Allen-Wood. Applying the work of Creutzig–Kanade–McRae and Creutzig–McRae–Yang, we show that the category of line operators on the A side possesses the structure of a braided tensor category, extending the result of Allen-Wood. In addition, we prove that there is a braided tensor equivalence between the categories of line operators on the A side and B side, completing a nontrivial check of the 3d mirror symmetry conjecture. We derive explicit fusion rules as a consequence of this equivalence and obtain interesting relations with associated quantum group representations.
Note on the q-logarithmic Sobolev and p-Talagrand inequalities on Carnot groups
Authors: Bou Dagher Esther
Published: October 2022

In the setting of Carnot groups, we prove the [Formula: see text]-logarithmic Sobolev inequality for probability measures as a function of the Carnot–Carathéodory distance. As an application, we use the Hamilton–Jacobi equation in the setting of Carnot groups to prove the [Formula: see text]-Talagrand inequality and hypercontractivity.
Designing eXtended reality experiences for the future of hybrid meetings
Authors: Grønbæk Jens Emil
Published: October 2022

Hybrid meetings are challenging. They require interface solutions that support communication between both co-located and remote team members. However, recent research on extended reality points to interesting new directions for the future of these meetings.
The future of mixed reality is adaptive
Authors: Lindlbauer David
Published: October 2022

In a future where we replace our smartphones and notebooks with mixed reality headsets, the way we create user interfaces will change drastically. Future interfaces will need to adapt automatically to users' context, guided by optimization-based methods and machine learning, to become beneficial for end-users.
XR needs "mixed feelings"
Authors: Teng Shan-Yuan , Lopes Pedro
Published: October 2022

Haptic devices allow us to feel virtual worlds through touch and forces; yet they are incompatible with haptics present in our everyday life. This urges us to re-think how to engineer a wave of new haptic devices for extended reality.
Early Monitoring of Forest Wood-Boring Pests with Remote Sensing
Authors: Luo Youqing , Huang Huaguo , Roques Alain
Published: October 2022

Wood-boring pests (WBPs) pose an enormous threat to global forest ecosystems because their early stage infestations show no visible symptoms and can result in rapid and widespread infestations at later stages, leading to large-scale tree death. Therefore, early-stage WBP detection is crucial for prompt management response. Early detection of WBPs requires advanced and effective methods like remote sensing. This review summarizes the applications of various remote sensing sensors, platforms, and detection methods for monitoring WBP infestations. The current capabilities, gaps in capabilities, and future potential for the accurate and rapid detection of WBPs are highlighted.
Effects of local anesthetics on compound action potentials generated from the frog sciatic nerve
Authors: Medler Scott
Published: October 2022

The frog sciatic nerve preparation represents a “classical” physiology lab for demonstrating principles of action potentials. Local anesthetics provide an inexpensive tool to manipulate the physiological activity of nerves and other excitable tissues. Isolated nerves retain their physiological activity for up to several days when kept in Ringer solution at 4°C. Quantitative data analysis from this robust nerve preparation should present students with many opportunities for designing their own experiments with anesthetics.
Use of Iatrogenic Lipid Emulsion and Subsequent Plasmapheresis for the Treatment of Amitriptyline Overdose
Authors: Laffin Ryan C. , Cunningham Ashley M. , Fitzgerald Sean A. , Wiebe Donald A. , Wells Jeffrey A. , Linzell Janice Robin , Rose William Nicholas
Published: October 2022

Plasmapheresis for the treatment of hypertriglyceridemia is relatively uncommon and mostly reported either in patients experiencing hypertriglyceridemia-induced acute pancreatitis or patients with therapy-resistant familial hypercholesterolemia. Standard therapies for hypertriglyceridemia include dietary modification and lipid-lowering medication. For severe hypertriglyceridemia, the risk of pancreatitis increases significantly as triglyceride levels increase above 1000 mg/dL, and current therapies are unable to reduce triglyceride levels rapidly enough. Here, we report a case of a 48-year-old male patient who presented to the emergency department due to an amitriptyline overdose. In addition to being started on IV sodium bicarbonate therapy, an intravenous 20% fat emulsion bolus at 1.5 mL/kg was administered followed by 0.25 mL/kg/min infusion for 4 hours as a strategy to absorb lipophilic amitriptyline. Two days posttreatment, he was noted to have substantial hypertriglyceridemia (serum triglycerides: 6,475 mg/dL). His amylase was within the normal range at 37 U/L (reference range: 20-100 U/L), his lipase was low at 40 U/L (reference range: 75-390 U/L), and he was without evidence of any clinical sequelae secondary to hypertriglyceridemia (e.g., pancreatitis). Due to the severity of his hypertriglyceridemia, plasmapheresis was initiated urgently for rapid reduction in serum triglyceride levels to prevent pancreatitis and end-organ damage. He underwent a 1-plasma volume exchange with 5% albumin as the replacement fluid. This reduced his triglyceride levels to 185 mg/dL (reference range: 3-149 mg/dL). His symptoms secondary to his amitriptyline overdose were also resolved. Here, we report a 2-step process of intravenous lipid emulsion followed by plasmapheresis for amitriptyline overdose.
HIT HAR: Human Image Threshing Machine for Human Activity Recognition Using Deep Learning Models
Authors: Poulose Alwin , Kim Jung Hwan , Han Dong Seog
Published: October 2022

In recent days, research in human activity recognition (HAR) has played a significant role in healthcare systems. The accurate activity classification results from the HAR enhance the performance of the healthcare system with broad applications. HAR results are useful in monitoring a person’s health, and the system predicts abnormal activities based on user movements. The HAR system’s abnormal activity predictions provide better healthcare monitoring and reduce users’ health issues. The conventional HAR systems use wearable sensors, such as inertial measurement unit (IMU) and stretch sensors for activity recognition. These approaches show remarkable performances to the user’s basic activities such as sitting, standing, and walking. However, when the user performs complex activities, such as running, jumping, and lying, the sensor-based HAR systems have a higher degree of misclassification results due to the reading errors from sensors. These sensor errors reduce the overall performance of the HAR system with the worst classification results. Similarly, radiofrequency or vision-based HAR systems are not free from classification errors when used in real time. In this paper, we address some of the existing challenges of HAR systems by proposing a human image threshing (HIT) machine-based HAR system that uses an image dataset from a smartphone camera for activity recognition. The HIT machine effectively uses a mask region-based convolutional neural network (R-CNN) for human body detection, a facial image threshing machine (FIT) for image cropping and resizing, and a deep learning model for activity classification. We demonstrated the effectiveness of our proposed HIT machine-based HAR system through extensive experiments and results. The proposed HIT machine achieved 98.53% accuracy when the ResNet architecture was used as its deep learning model.
A Hybrid Catheter Localisation Framework in Echocardiography Based on Electromagnetic Tracking and Deep Learning Segmentation
Authors: Jia Fei , Wang Shu , Pham V. T.
Published: October 2022

Interventional cardiology procedure is an important type of minimally invasive surgery that deals with the catheter-based treatment of cardiovascular diseases, such as coronary artery diseases, strokes, peripheral arterial diseases, and aortic diseases. Ultrasound imaging, also called echocardiography, is a typical imaging tool that monitors catheter puncturing. Localising a medical device accurately during cardiac interventions can help improve the procedure’s safety and reliability under ultrasound imaging. However, external device tracking and image-based tracking methods can only provide a partial solution. Thus, we proposed a hybrid framework, with the combination of both methods to localise the catheter tip target in an automatic way. The external device used was an electromagnetic tracking system from North Digital Inc (NDI), and the ultrasound image analysis was based on UNet, a deep learning network for semantic segmentation. From the external method, the tip’s location was determined precisely, and the deep learning platform segmented the exact catheter tip automatically. This novel hybrid localisation framework combines the advantages of external electromagnetic (EM) tracking and the deep learning-based image method, which offers a new solution to identify the moving medical device in low-resolution ultrasound images.
Antibiotic‐Resistant Bacteria and Resistance Genes in Isolates from Ghanaian Drinking Water Sources
Authors: Odonkor Stephen T. , Simpson Shirley Victoria , Morales Medina William R. , Fahrenfeld N. L.
Published: October 2022

The control of infectious diseases is seriously threatened by the increase in the number of microorganisms resistant to antimicrobial agents. Antibiotic‐resistant bacteria have also been identified in the water environment. A field study was performed sampling drinking water sources in seven districts of southern Ghana targeting boreholes, dams, hand‐dug wells, and streams during baseflow conditions. Bacteria were isolated (N = 110) from a total of 67 water samples to investigate their antimicrobial susceptibility and to determine their carriage of select antibiotic resistance genes. Bacterial identification was performed using conventional selective media methods and the analytical profile index (API) method. Antibiotic susceptibility tests were carried out using the Kirby–Bauer method. Results indicated that all water sources tested were of poor quality based on the presence of fecal indicator organisms. The most commonly occurring bacterium isolated from water was Klebsiella spp. (N = 24, 21.8%), followed by E. coli (N = 23, 20.9%). Gram‐negative bacteria isolates were most commonly resistant to cefuroxime (24.5%), while the Gram‐positives were most commonly resistant to meropenem (21.3%). The highest rates of bacterial resistances to more than one antibiotic were observed in Klebsiella spp. (30.0%) followed by E. coli (27.8%). PCR was used to detect the presence of a select antibiotic resistance genes in the Gram‐negative isolates. The presence of blaNDM-1, sull, tet(O), and tet(W) were observed in isolates from all water sources. In contrast, ermF was not detected in any of the Gram‐negative isolates from any water source. Most (28.7%) of the resistance genes were observed in E. coli isolates. Reducing microbial contamination of the various water sources is needed to protect public health and to ensure the sustainability of this resource. This further calls for education of the citizenry.
Co-operative Research on Financing Ecological and Efficiency of Industrial—Evidence from China’s New Energy Industry
Authors: Wang Hairong , Wu Qiuchi
Published: October 2022

Since the existing research on the direct introduction of ecological principles into the financing field is very weak, there is no systematic and dynamic research on financing efficiency from the perspective of ecology. Through in-depth analysis, this paper finds that the industrial financing ecology affects financing efficiency through financing scale, financing cost, financing structure, financing speed, and capital allocation. At the same time, financing efficiency also affects the industrial financing ecology through industrial policy, financial system, legal culture, ecological displacement, and genetic reorganization, this leads to the interaction and coevolution of the industrial financing ecology and financing efficiency. To measure the degree of synergy between the financing ecology and financing efficiency, we construct a composite system synergy model and take the new energy industry as an example to carry out empirical research, the empirical results show that the synergy between China’s new energy industry financing ecology and efficiency at the current stage still has great room for improvement.
Functionalized Selenium Nanoparticles Enhance Anticancer Efficacy of Doxorubicin for Hepatocellular Carcinoma Therapy
Authors: Guo Min , Tang Ying , Hua Liang , Li Wanling , Gong Guifang , Zhu Yali , Zhu Bing , Xia Yu
Published: October 2022

Hepatocellular carcinoma (HCC) is ranked as the second leading cancer-related death in the world. Chemotherapy is one of the most commonly used strategies for HCC patients, while the clinical application is hampered by its cytotoxicity. To address this dilemma, tumor-targeted nanotechnology has been proposed to balance the toxicity and efficacy of chemotherapy. Tumor-targeted selenium nanoparticles (HA-SeNPs) were prepared to load an anticancer drug doxorubicin (DOX). In this drug delivery system, hyaluronic acid (HA) was used as a tumor-targeted moiety to bind with its receptor highly expressed in hepatocellular carcinoma cells. The transmission electron microscopy (TEM) and dynamic light scattering assays showed that HA-Se@DOX was a small and high stable nanocomposite. The cell viability, scratch migration, and invasion chamber assays indicated that HA-Se@DOX showed stronger ability to suppress HepG2 cells growth and migration/invasion compared to Se@DOX or DOX alone. Moreover, HA-Se@DOX could induce HepG2 cells apoptosis probably through the reactive oxygen species (ROS). In summary, the results indicated that HA-Se@DOX exhibits great potential to be a prodrug against hepatocellular carcinoma.
Exploring Users’ Preferences for Automated Minibuses and Their Service Type: A Stated Choice Experiment in the Netherlands
Authors: Öztürker Maryna , Homem de Almeida Correia Gonçalo , Scheltes Arthur , Olde Kalter Marie-José , van Arem Bart
Published: October 2022

In this paper, we study the deployment potential of automated minibuses (AmBs) on the first-mile part of public transport (PT) trips or short (sub)urban commutes by comparing “regular” (fixed route and fixed schedule) and “flexible” (door-to-door and on-demand) service types. For reaching that goal, we run a stated choice experiment in the Netherlands. The participants have assessed the referred two AmB alternatives compared to their current travel mode (car, PT, or active modes (AM) – bicycle and walking) used as the main mode for unimodal travellers or as access travel mode to transit lines for multimodal travellers. The results of a joint mixed logit model estimation based on data obtained from Dutch travellers show that there are similarities and differences in the preferences for the AmBs service type within and between the segments of travellers (car, PT, and AM) and that these are mostly in instrumental variables (cost and time) and attitudes. Current PT users prefer the flexible service to regular service based on their perception of in-vehicle travel time and waiting time, while current users of car and AM do not show a difference in preference between the two services concerning these variables. Moreover, their perception of in-vehicle travel time and waiting time is not significantly different from PT users’ perception of those variables in the regular service. This may mean that for non-PT users (car and AM), AmB’s flexibility of door-to-door transport is not seen as offering a significant advantage over what they think about public transport. When looking at the preferences of potential users explained by underlying psychological factors, we conclude that a positive attitude towards riding in AmBs is a significant factor in all three segments of travellers. Trust, usefulness, and enjoyment in using AmBs are important prerequisites for car and PT users to choose either service type. The experience with technology positively influences the preferences of current PT users for both AmB services.
Development and Application of Ceramic Cultural and Creative Products Based on Artificial Intelligence
Authors: Ren Hang
Published: October 2022

Ceramic cultural and creative products are creative products with ceramic cultural characteristics that have been concerned and loved by people since they entered the modern society. Various cultural and creative products represent the efforts of the ancients and the infusion of modern souls, and they have become a very memorable product. However, in the development of such products, it has always been a difficult problem to solve, and there are many difficulties in developing a product. It needs to consider the practicality of the product and must also combine cultural characteristics. It also makes innovative changes. It cannot blindly reproduce cultural relics. It must have its own design concept. Finally, it has to cater to the needs and preferences of consumers. Because there are so many factors to consider, designers spend a lot of energy and time in the process of developing new products. Therefore, in order to help designers get relevant and accurate data faster and more efficiently, we propose a method of artificial intelligence technology. It analyzes the development and application of such products and conducts experimental research on the role of artificial intelligence in product development and application. The results show that the technology is very suitable for product development and application, and it improves the effectiveness of product development and application. The pattern is the feature that can best show the uniqueness of the ceramic process. After using the algorithm in this paper, the extraction level can reach 0.73 and only 0.66 if it is not used. Therefore, in order to make the development and application of such products better, the application of artificial intelligence technology should be emphasized.
Resource Sharing Method of Basic Computer Education Based on Mixed Gaussian Model
Authors: Mao Lijun
Published: October 2022

This study developed a computer-based basic educational resource sharing method based on a mixed Gaussian model in order to improve the effect of educational resource sharing. Initially, the challenges of educational resource sharing are examined. Then, the basic sharing platform, consisting of the index layer, the computer basic education resource library, and the data layer, is designed. After collecting information about basic computer education resources to be shared, the education resources are clustered using the Gaussian mixture model and then configured based on the results of the clustering. Depending on the number of configuration factors, computer basic education resources can be shared in accordance with their design. The experimental results indicate that this method has high resource sharing efficiency, the ability to update resources in real time, and a good teacher and student evaluation system. Compared to traditional sharing methods, the proposed method has the benefits of a shorter sharing time and greater resource clustering precision.
Application of Heart Rate Combined with Acceleration Motion Sensor in Sports Dance Teaching
Authors: Li Lin , Liu Yuanyuan , Gu Yue , Zhu Zhe
Published: October 2022

Because of the large amount of exercise, sports dance has the characteristics of good viewing and strong movement, and has gradually entered the campus in recent years. However, sports dance is not only difficult, but also has a wide variety of categories except modern dance and Latin dance. In addition to these two categories, there are 10 kinds of dances in total. Therefore, in teaching, schools have no choice, and students cannot understand which dance styles are most effective for students’ physical exercise. In order to solve the problem that there are many kinds of sports dance and the effect of students’ exercise is unclear, this paper studied sports dance teaching based on heart rate combined with acceleration motion sensor, and obtained the energy consumption in sports dance teaching by using this measurement method. After comparing the effects, four kinds of dance activities, namely quickstep, waltz, rumba, and samba, which are more conducive to physical exercise, were screened out for students in the complex sports dance. In addition, in order to confirm the experimental results of the article, after the teacher improved the physical dance teaching according to the content of the article, it was found that before the experiment, the average scores of the two groups of subjects were 17.5 points and 16.75 points. After the experiment, the scores of the two groups increased by 3.5 points and 2.8 points, respectively. Through the experimental results and data, it can be shown that the research in this paper has played a good role in the improvement of sports dance teaching.