bluuebunny/crossref_metadata_2025 huggingface dataset:
Formulation and Characterization of Niacinamide and Collagen Emulsion and Its Investigation as a Potential Cosmeceutical Product
Authors: Dănilă Elena , Kaya Durmuș Alpaslan , Anuța Valentina , Popa Lăcrămioara , Coman Alina Elena , Chelaru Ciprian , Constantinescu Rodica Roxana , Dinu-Pîrvu Cristina , Albu Kaya Mădălina Georgiana , Ghica Mihaela Violeta
Published: March 2024

Cosmeceuticals are one of the fast-growing areas of the natural personal care industry. Cosmeceuticals are cosmetic products with medicinal or drug-like benefits that can affect the biological functioning of the skin depending on the ingredients in the composition. The development of one formulation acting on the dermis and stimulating the collagen production is very important for the hydration of the skin. The association of collagen with other ingredients can have a positive effect on increasing the natural production of collagen in the skin. An example of such an ingredient is niacinamide, which, having a recognized nutritional value, has been quite recently studied. Considering these aspects, this study focused on developing oil-in-water (O/W) emulsions, based on natural ingredients (vegetable oils, floral waters, and essential oils) and hydrolyzed collagen and niacinamide as active ingredients, and on evaluating the stability, pH, optical, superficial, rheological and textural properties, as well as microbiological tests of the emulsions, in order to investigate their potential as a cosmeceutical product. All the obtained emulsions proved to be stable at variable temperatures and had a pH value compatible with natural pH of the skin, allowing their safe application. Over goniometric analysis, a partial wetting and a hydrophilic character of the emulsions were emphasized. Following the rheological analyses, all dermatocosmetic emulsions exhibited non-Newtonian pseudoplastic behavior and a thixotropic character, these properties being very important for their production process and their application on the skin surface to generate an optimal therapeutic effect. The textural characteristics recorded for all emulsions indicated adequate spreadability at the application site. All tested samples respected the Pharmacopoeia limits of microbiological contamination. All prepared emulsions have good stability, are safe for the skin and have appropriate physicochemical and microbiological characteristics; therefore, they can be used as a cosmeceutical product.
What Was It like to Learn or Teach in the Health Professions during the COVID-19 Pandemic? Sombre and Tough: A Duoethnography
Authors: Ruiz Cosignani Daniela , Jowsey Tanisha
Published: March 2024

The 2020 COVID-19 pandemic proved challenging for people working and teaching in the health professions. What was it like to learn or teach in the health professions during the pandemic? What challenges were experienced, and how were these navigated? We undertook duoethnography to provide answers to these questions. The authors are an endodontist from Chile who undertook her Master of Clinical Education in New Zealand during the COVID-19 pandemic and one of her postgraduate supervisors. A dataset of 40 photo-reflection dyads and duoethnographic text are presented. We experienced this pandemic as isolating, sombre and tough, albeit for different reasons. Managing relationships and family needs from a distance or in the same space in which work was to occur proved difficult. Postgraduate research was slowed. The educator workload was significantly increased, especially for the first six months of the pandemic, whereby she was tasked with rapidly creating a lot of online virtual learning material. We draw on Emotional Labour theory to make sense of these experiences. Support for clinical educators during pandemics should cater to situational contexts. We recommend Communities of Practice, psychological supports, acts of care (including self-care), wellbeing initiatives, and arts-based practice as potential mechanisms to support educators and learners.
Structure from Motion Photogrammetry as an Effective Nondestructive Technique to Monitor Morphological Plasticity in Benthic Organisms: The Case Study of Sarcotragus foetidus Schmidt, 1862 (Porifera, Demospongiae) in the Portofino MPA
Authors: Pulido Mantas Torcuato , Roveta Camilla , Calcinai Barbara , Benelli Fabio , Coppari Martina , Di Camillo Cristina Gioia , Pantaleo Ubaldo , Puce Stefania , Cerrano Carlo
Published: March 2024

Porifera are essential components of marine ecosystems, providing valuable ecological functions. Traditional approaches to estimating sponge growth and biomass are destructive and often not suitable for certain morphologies. The implementation of new innovative techniques and nondestructive methodologies have allowed for a more sustainable approach. In this study, a population of Sarcotragus foetidus Schmidt, 1982 (Demospongiae, Dictyoceratida, Irciinidae), thriving inside the Portofino Marine Protected Area, was monitored using Structure from Motion photogrammetry over a period of 6 years, from September 2017 to October 2023. Of the 20 initial individuals, only 12 were still in place during the last monitoring, indicating 40% mortality. Through photogrammetry, the overall volume change and biomass production were estimated to be 9.24 ± 5.47% year−1 and 29.52 ± 27.93 g DW year−1, respectively, indicating a general decreasing trend between 2021 and 2023. Signs of necrosis were observed in some individuals, potentially related to the high temperature occurring during summer 2022 and 2023. Considering the current climate crisis, long-term monitoring efforts must be made to better understand the dynamics of this species, and photogrammetry has the potential to be a versatile monitoring tool that will contribute to the standardization of methodologies for sponge growth studies.
DFT Calculations, Pro-Apoptotic Effects, and Anti-Infective Investigations of Alkaloids Isolated from the Stem Bark Extract of Enantia chlorantha
Authors: Imieje Vincent O. , Zaki Ahmed A. , Bashar Mansour A. E. , Rady Islam , El-Tabakh Mohamed A. M. , Abd El-Aziz Mohamed A. E. , Abou-Amra Eman. S. , Yasser Shahd , Gobaara Ibraheem M. M. , Abourehab Mohammed A. S. , Samra Reham M. , El-Naggar Hussein A. , Falodun Abiodun
Published: March 2024

Fractionation of the stem bark of Enantia chlorantha Oliv yields three alkaloids, palmatine (1), jatrorrhizine (2), columbamine (3), and β-Sitosterol (4). In this investigation, density functional theory (DFT) calculations were carried out to evaluate the electronic structure and properties of 1–4 by DFT-B3LYP/6-31G level of theory using Gaussian 09 software. The highest occupied molecular orbital (HOMO), lowest unoccupied molecular orbital (LUMO), HOMO-LUMO energy difference (band gap), hardness (η), softness (S), dipole moment (μ), electronegativity (χ), hydrophobicity (logP), topological surface area (TPSA), and energy gap (Eg) were calculated. The in vitro cytotoxicity of the compounds was investigated against MCF-7 and HCT116 cancer cell lines using Wi-38 cells as a control. The compounds inhibited the proliferation of the MCF-7 and HCT116 cell lines and induced apoptosis via upregulation of caspase-3, Bax, PARP cleavage, and downregulation of Bcl-2. DFT analyses revealed that compounds 1 and 3 have smaller energy gaps, 0.072 and 0.071eV, respectively, with the highest dipole moments; hence, these compounds are more chemically reactive and exhibit better modulation of caspase-3 enzyme and inhibitory activities of the MCF-3 and HCT116 cell lines. The antimicrobial and antiparasitic evaluation of 1–4 showed moderate efficacy against the bacterial strains and moderate antiparasitic activity against Cichlidogyrus tilapia.
Implementation of Simulation Modeling of Single and High-Volume Machine-Building Productions
Authors: Savelyeva Nadezhda , Nikonova Tatyana , Zhetessova Gulnara , Irina Khrustaleva , Yurchenko Vassiliy , Černašėjus Olegas , Zharkevich Olga , Dandybaev Essim , Berg Andrey , Vassenkin Sergey , Baimuldin Murat
Published: March 2024

The authors of this article analyze the existing methods and models of technological preparation of machine-building industries. The structure of a three-level simulation model with network-centric control, the structures of individual elements of the simulation model, and the process of simulation modeling are described. The criteria for choosing a rational option for the processing technological route have been determined. During this research, a simulation program was implemented in C++. It allows you to select the optimal scenario for the operation of a production site based on two criteria: time and cost. The volume of implementation is about 2 × 103 lines of code. A diagram of the modeling algorithm for the implemented program and a description of the classes and their interactions are given in the article. The developed simulation model was tested at a machine-building enterprise using the example of the “Pusher” part, manufactured under single-unit production conditions. The technological equipment used for the manufacture of this part was formed in the form of input data of the simulation model. The results of simulation modeling for the selected part are described. For each variant of the technological processing route, the values of variable costs and the duration of the production cycle were determined.
Feasibility of a Peer-Led Leisure Time Physical Activity Program for Manual Wheelchair Users Delivered Using a Smartphone
Authors: Best Krista L. , Sweet Shane N. , Borisoff Jaimie F. , Arbour-Nicitopoulos Kelly P. , Routhier François
Published: March 2024

Active living lifestyles for wheelchair users (ALLWheel) was developed to improve leisure time physical activity (LTPA). The purpose of this study was to assess the feasibility of the ALLWheel program. In a pilot pre-post design, 12 manual wheelchair users in three Canadian cities completed the ALLWheel program (containing 14 sessions over 10 weeks delivered by a peer using a smartphone). Feasibility indicators were collected for process, resources, management, and intervention—before, during, and after ALLWheel. Exploratory outcomes were collected for LTPA (primary outcome), motivation, self-efficacy, and satisfaction with autonomy support and goal attainment—at baseline, immediately following ALLWheel, and three months later. Feasibility was evaluated using a priori criteria for success (yes/no), and within-subjects comparisons were made to explore the change in exploratory outcomes. The participants were 48.9 ± 15.1 years of age and women (66.7%), and had spinal cord injury (41.7%) or multiple sclerosis (16.7%). Feasibility was achieved in 11 of 14 indicators, with suggestions to consider subjective reports of LTPA as the primary outcome in a future randomized controlled trial to overcome limitations with device-based measures and to use strategies to enhance recruitment. Mild-intensity LTPA and satisfaction with goal attainment improved after the completion of ALLWheel. With minor modifications, it is feasible that ALLWheel can be administered to wheelchair users by a peer using a smartphone.
A Novel Scalable Quantum Protocol for the Dining Cryptographers Problem
Authors: Karananou Peristera , Andronikos Theodore
Published: March 2024

This paper presents an innovative entanglement-based protocol to address the Dining Cryptographers problem, utilizing maximally entangled |GHZn⟩ tuples as its core. This protocol aims to provide scalability in terms of both the number of cryptographers n and the amount of anonymous information conveyed, represented by the number of qubits m within each quantum register. The protocol supports an arbitrary number of cryptographers n, enabling scalability in both participant count and the volume of anonymous information transmitted. While the original Dining Cryptographers problem focused on a single bit of information—whether a cryptographer paid for dinner—the proposed protocol allows m, the number of qubits in each register, to be any arbitrarily large positive integer. This flexibility allows the transmission of additional information, such as the cost of the dinner or the timing of the arrangement. Another noteworthy aspect of the introduced protocol is its versatility in accommodating both localized and distributed versions of the Dining Cryptographers problem. The localized scenario involves all cryptographers gathering physically at the same location, such as a local restaurant, simultaneously. In contrast, the distributed scenario accommodates cryptographers situated in different places, engaging in a virtual dinner at the same time. Finally, in terms of implementation, the protocol accomplishes uniformity by requiring that all cryptographers utilize identical private quantum circuits. This design establishes a completely modular quantum system where all modules are identical. Furthermore, each private quantum circuit exclusively employs the widely used Hadamard and CNOT quantum gates, facilitating straightforward implementation on contemporary quantum computers.
Training Teachers for the Career Guidance of High School Students
Authors: Bersan Otilia Sanda , Lustrea Anca , Sava Simona , Bobic Oana
Published: March 2024

The article addresses the decision-making process of career choice among high-school students and emphasizes the importance of supporting their informed decisions by trained teachers acting as career-guidance counselors. While, ideally, school counselors handle career counseling, their limited availability necessitates the involvement of other resources, such as trained teachers. The present study introduces a career-guidance training program for teachers, implemented with 20 Romanian and 20 Serbian teachers. The research conducted simultaneously with the training aimed to assess the effectiveness of this cross-national program in enhancing teachers’ competence in career guidance. Utilizing a longitudinal mixed methodology, the study assessed the teachers’ perceptions of the training’s effectiveness and sustainability over a period of 24 months. Two questionnaires featuring multiple-choice and open-choice questions were employed. The results consistently indicated that teachers rated the training as excellent or very good across various dimensions, including content, trainers, didactic materials, and applications. Challenges were noted in designing and implementing group career activities compared to individual ones, with no significant differences observed between Serbian and Romanian teachers. After 24 months, a deductive content analysis of open-ended questions assessed the sustainability of acquired competencies. Our findings indicated active teacher participation in career-guidance activities, primarily with final-year students serving as class teachers or subject instructors. In the context of a scarcity of career-counseling specialists, training teachers as career-guidance advisors emerges as a viable solution. The study highlights the potential of such training programs to address the critical need for comprehensive career guidance in schools.
Optimizing Confined Nitride Trap Layers for Improved Z-Interference in 3D NAND Flash Memory
Authors: Kim Yeeun , Hong Seul Ki , Park Jong Kyung
Published: March 2024

This paper presents an innovative approach to alleviate Z-interference in 3D NAND flash memory by proposing an optimized confined nitride trap layer structure. Z-interference poses a significant challenge in 3D NAND flash memory, especially with the reduction in cell spacing to accommodate an increased number of vertically stacked 3D NAND flash memories. While the confined nitride trap layer device designed for complete isolation of the trapping layer in three dimensions effectively reduces Z-interference, the results showed substantial variations based on the confined structure. To clarify this issue, we compared three distinct confined nitride trap layer structures and investigated their impact on Z-interference. Our findings indicate that the rectangle structure exhibited the most significant mitigation, implying that differences in the electric field applied to the poly silicon channel, which is influenced by the structure, and the increase in effective channel length are effective strategies for alleviating Z-interference. The proposed structure undergoes a comprehensive examination through technology computer-aided design (TCAD) simulations. Additionally, we introduce a practical process flow designed to minimize Z-interference.
A Trusted Internet of Things Access Scheme for Cloud Edge Collaboration
Authors: Zhu Wenlong , Zhou Changli , Jiang Linmei
Published: March 2024

With the rapid popularization of current Internet of Things (IoT) technology and 5G networks, as well as the continuous updating of new service lifestyles and businesses, the era of big data processing for the IoT has arrived. However, centralizing all data for processing in the cloud can lead to issues such as communication latency and privacy breaches. To solve these problems, edge computing, as a new network architecture close to terminal data sources and supporting low latency services, has gradually emerged. In this context, cloud edge collaborative computing has become an important network architecture. With the changing security requirements and communication methods of cloud edge collaborative network architecture, traditional authentication key agreement protocols are no longer applicable. Therefore, a new IoT authentication and key agreement protocol needs to be designed to solve this problem. This study proposes an IoT accessible solution for cloud edge collaboration. This scheme adopts a chaotic mapping algorithm to achieve efficient authentication. It ensures the anonymity and untraceability of users. Following this, we conducted strict security verification using BAN logic and Scyther tools. Through experimental comparative analysis, the research results show that the protocol performs better than other schemes while ensuring security. This indicates that the protocol can achieve efficient authentication and key negotiation in cloud edge collaborative network architecture, providing a secure and reliable solution for the accessibility of the IoT.
Research on Image Processing Resource Reconstruction Based on Load Balancing Strategy
Authors: Deng Yuxiao , Liu Jingyu , Zhou Yang
Published: March 2024

With the development of intelligent vehicles, the vehicle image processing system has put forward increasing demand for computing resource utilization efficiency and real-time processing. However, the traditional information processing method that binds software and hardware severely restricts the efficient use of image processing resources. In order to solve this problem, this paper proposes a resource reconstruction scheme based on a load balancing strategy, which can realize unified management and dynamic allocation of image processing resources by establishing a system resource view. Then, this paper builds a physical verification platform and constructs a comparative verification experiment to verify the effectiveness of the resource reconstruction scheme. Experimental results prove that this resource reconstruction scheme can effectively improve the resource utilization efficiency of multi-core digital signal processing (DSP), realize software-defined hardware functions, and optimize the real-time performance of parallel processing.
The Balancing Act of Repurposing Feature Films and TV Series for University Teaching
Authors: Nguyen Ngoc Nhu
Published: March 2024

Contemporary educators have increasingly recognised the diversity of their student population and, hence, have attempted to use multimodal teaching methods for additional student learning benefits. One popular example is repurposing film and TV content for higher education pedagogies. However, integrating these materials into teaching effectively often proves more complex than lecturers might anticipate. This entry investigates the merits and challenges of using FF/TV in teaching to determine the factors that impact development of an effective FF/TV pedagogy for student learning, through an interdisciplinary review of the existing literature, followed by a qualitative survey and semi-structured interviews with lecturers across disciplines at Australian universities. Using visual literacy theory, cognitive load theory, and dual coding theory, data analysis reveals that the pros and cons of integrating film and TV in teaching are in fact interconnected, and the main role of the teacher is to pedagogically balance them. Evidence-based and theory-grounded suggestions for application are detailed throughout the discussions.
Proto-Neurons from Abiotic Polypeptides
Authors: Mougkogiannis Panagiotis , Adamatzky Andrew
Published: March 2024

To understand the origins of life, we must first gain a grasp of the unresolved emergence of the first informational polymers and cell-like assemblies that developed into living systems. Heating amino acid mixtures to their boiling point produces thermal proteins that self-assemble into membrane-bound protocells, offering a compelling abiogenic route for forming polypeptides. Recent research has revealed the presence of electrical excitability and signal processing capacities in proteinoids, indicating the possibility of primitive cognitive functions and problem-solving capabilities. This review examines the characteristics exhibited by proteinoids, including electrical activity and self-assembly properties, exploring the possible roles of such polypeptides under prebiotic conditions in the emergence of early biomolecular complexity. Experiments showcasing the possibility of unconventional computing with proteinoids as well as modelling proteinoid assemblies into synthetic proto-brains are given. Proteinoids’ robust abiogenic production, biomimetic features, and computational capability shed light on potential phases in the evolution of polypeptides and primitive life from the primordial environment.
The Case for Carbon Capture and Storage Technologies
Authors: Hochman Gal , Appasamy Vijay
Published: March 2024

In this paper, we use the literature to help us better understand carbon capture costs and how these estimates fare against those of avoided costs, focusing on bioenergy carbon capture and storage (BECCS), carbon capture and storage (CCS), as well as direct air capture technologies. We approach these questions from a meta-analysis perspective. The analysis uses meta-analysis tools while applying them to numerical rather than statistical studies. Our analysis shows that avoided costs are, on average, 17.4% higher than capture costs and that the carbon intensity of the feedstock matters: the estimates for coal-based electricity generation capture costs are statistically smaller than those for natural gas or air. From a policy perspective, the literature suggests that the costs of CCS are like the 45Q subsidy of USD 50 per metric ton of carbon captured.
Advancing Maritime Safety: Early Detection of Ship Fires through Computer Vision, Deep Learning Approaches, and Histogram Equalization Techniques
Authors: Ergasheva Aziza , Akhmedov Farkhod , Abdusalomov Akmalbek , Kim Wooseong
Published: March 2024

The maritime sector confronts an escalating challenge with the emergence of onboard fires aboard in ships, evidenced by a pronounced uptick in incidents in recent years. The ramifications of such fires transcend immediate safety apprehensions, precipitating repercussions that resonate on a global scale. This study underscores the paramount importance of ship fire detection as a proactive measure to mitigate risks and fortify maritime safety comprehensively. Initially, we created and labeled a custom ship dataset. The collected images are varied in their size, like having high- and low-resolution images in the dataset. Then, by leveraging the YOLO (You Only Look Once) object detection algorithm we developed an efficacious and accurate ship fire detection model for discerning the presence of fires aboard vessels navigating marine routes. The ship fire detection model was trained on 50 epochs with more than 25,000 images. The histogram equalization (HE) technique was also applied to avoid destruction from water vapor and to increase object detection. After training, images of ships were input into the inference model after HE, to be categorized into two classes. Empirical findings gleaned from the proposed methodology attest to the model’s exceptional efficacy, with the highest detection accuracy attaining a noteworthy 0.99% across both fire-afflicted and non-fire scenarios.
Observing Dusty Star-Forming Galaxies at the Cosmic Noon through Gravitational Lensing: Perspectives from New-Generation Telescopes
Authors: Giulietti Marika , Gandolfi Giovanni , Massardi Marcella , Behiri Meriem , Lapi Andrea
Published: March 2024

Gravitational lensing, a compelling physical phenomenon, offers a unique avenue to investigate the morphology and physical properties of distant and faint celestial objects. This paper seeks to provide a comprehensive overview of the current state of observations concerning strongly lensed Dusty Star-Forming Galaxies. Emphasis is placed on the pivotal role played by cutting-edge facilities like the James Webb Space Telescope and the Square Kilometer Array Observatory. These advanced instruments operating at the two opposite ends of the electromagnetic spectrum, in conjunction with the amplifying effect of gravitational lensing, promise significant steps in our understanding of these sources. The synergy between these observatories is poised to unlock crucial insights into the evolutionary path of high-redshift, dust-obscured systems and unravel the intricate interplay between Active Galactic Nuclei and their host galaxies.
Three-Dimensional Printing of Hydrogels for Flexible Sensors: A Review
Authors: Khan Suhail Ayoub , Ahmad Hamza , Zhu Guoyin , Pang Huan , Zhang Yizhou
Published: March 2024

The remarkable flexibility and heightened sensitivity of flexible sensors have drawn significant attention, setting them apart from traditional sensor technology. Within this domain, hydrogels—3D crosslinked networks of hydrophilic polymers—emerge as a leading material for the new generation of flexible sensors, thanks to their unique material properties. These include structural versatility, which imparts traits like adhesiveness and self-healing capabilities. Traditional templating-based methods fall short of tailor-made applications in crafting flexible sensors. In contrast, 3D printing technology stands out with its superior fabrication precision, cost-effectiveness, and satisfactory production efficiency, making it a more suitable approach than templating-based strategies. This review spotlights the latest hydrogel-based flexible sensors developed through 3D printing. It begins by categorizing hydrogels and outlining various 3D-printing techniques. It then focuses on a range of flexible sensors—including those for strain, pressure, pH, temperature, and biosensors—detailing their fabrication methods and applications. Furthermore, it explores the sensing mechanisms and concludes with an analysis of existing challenges and prospects for future research breakthroughs in this field.
Three-Dimensional Amplitude versus Offset Analysis for Gas Hydrate Identification at Woolsey Mound: Gulf of Mexico
Authors: Alam Saiful , Knapp Camelia , Knapp James
Published: March 2024

The Gulf of Mexico Hydrates Research Consortium selected the Mississippi Canyon Lease Block 118 (MC118) as a multi-sensor, multi-discipline seafloor observatory for gas hydrate research with geochemical, geophysical, and biological methods. Woolsey Mound is a one-kilometer diameter hydrate complex where gas hydrates outcrop at the sea floor. The hydrate mound is connected to an underlying salt diapir through a network of shallow crestal faults. This research aims to identify the base of the hydrate stability zone without regionally extensive bottom simulating reflectors (BSRs). This study analyzes two collocated 3D seismic datasets collected four years apart. To identify the base of the hydrate stability zone in the absence of BSRs, shallow discontinuous bright spots were targeted. These bright spots may mark the base of the hydrate stability field in the study area. These bright spots are hypothesized to produce an amplitude versus offset (AVO) response due to the trapping of free gas beneath the gas hydrate. AVO analyses were conducted on pre-stacked 3D volume and decreasing amplitude values with an increasing offset, i.e., Class 4 AVO anomalies were observed. A comparison of a time-lapse analysis and the AVO analysis was conducted to investigate the changes in the strength of the AVO curve over time. The changes in the strength are correlated with the decrease in hydrate concentrations over time.
Changes in Growth Parameters, C:N:P Stoichiometry and Non-Structural Carbohydrate Contents of Zanthoxylum armatum Seedling in Response to Five Soil Types
Authors: Gu Tao , Ren Hongyu , Wang Mengying , Qian Wenzhang , Hu Yunyi , Yang Yao , Yu Ting , Zhao Kuangji , Gao Shun
Published: March 2024

Zanthoxylum armatum (Z. armatum) is an economic crop widely planted for both spice and medicinal purposes in Southwest China. Soil is a key environmental condition that affects seedling growth and development, and screening suitable soil types is of great significance for the large-scale cultivation of crops. This study designed growth experiments of Z. armatum seedlings in red soil (RS), yellow soil (YS), acidic purple soil (ACPS), alkaline purple soil (ALPS), and alluvial soil (AS) to screen for more suitable soil types. The growth traits of Z. armatum seedlings and the carbon (C), nitrogen (N), phosphorus (P), C:N:P stoichiometry, and non-structural carbohydrate (NSC) content of different organs were comparatively analyzed. The results showed that the morphological indexes of Z. armatum seedlings cultured in AS were better than those in the other four soils.AS and RS may be beneficial for the culture of Z. armatum seedlings due to higher nutrient levels in three organs. Two-factor ANOVA and PCA analysis showed that C, N, and P and their proportions would affect the uptake and distribution of NSC in various organs of Z. armatum seedlings. These results showed that soil types and plant organs significantly affected the accumulation and distribution of N, P, and NSC in Z. armatum seedlings. These results are conducive to screening soil types suitable for the growth and development of Z. armatum and provide data support for further large-scale cultivation of Z. armatum in suitable areas.
A Novel and Extensible Remote Sensing Collaboration Platform: Architecture Design and Prototype Implementation
Authors: Gao Wenqi , Chen Ninghua , Chen Jianyu , Gao Bowen , Xu Yaochen , Weng Xuhua , Jiang Xinhao
Published: March 2024

Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other remote sensing applications. However, existing geospatial service platforms are more oriented towards the professional users in the implementation process and final application. Building appropriate geographic applications for non-professionals remains a challenge. In this study, a geospatial data service architecture is designed that links desktop geographic information system (GIS) software and cloud-based platforms to construct an efficient user collaboration platform. Based on the scalability of the platform, four web apps with different themes are developed. Data in the fields of ecology, oceanography, and geology are uploaded to the platform by the users. In this pilot phase, the gap between non-specialized users and experts is successfully bridged, demonstrating the platform’s powerful interactivity and visualization. The paper finally evaluates the capability of building spatial data infrastructures (SDI) based on GeoNode and discusses the current limitations. The support for three-dimensional data, the improvement of metadata creation and management, and the fostering of an open geo-community are the next steps.
Enhancing Maritime Navigational Safety: Ship Trajectory Prediction Using ACoAtt–LSTM and AIS Data
Authors: Li Mingze , Li Bing , Qi Zhigang , Li Jiashuai , Wu Jiawei
Published: March 2024

Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emerging as a new trend in sophisticated geospatial applications. However, the complexity of the marine environment and data quality issues pose significant challenges to accurate ship trajectory forecasting. This study introduces an innovative trajectory prediction method, combining data encoding representation, attribute correlation attention module, and long short-term memory network. Initially, we process AIS data using data encoding conversion technology to improve representation efficiency and reduce complexity. This encoding not only preserves key information from the original data but also provides a more efficient input format for deep learning models. Subsequently, we incorporate the attribute correlation attention module, utilizing a multi-head attention mechanism to capture complex relationships between dynamic ship attributes, such as speed and direction, thereby enhancing the model’s understanding of implicit time series patterns in the data. Finally, leveraging the long short-term memory network’s capability for processing time series data, our approach effectively predicts future ship trajectories. In our experiments, we trained and tested our model using a historical AIS dataset. The results demonstrate that our model surpasses other classic intelligent models and advanced models with attention mechanisms in terms of trajectory prediction accuracy and stability.
Current Methods of Newborn Screening Follow-Up for Sickle Cell Disease Are Highly Variable and without Quality Assurance: Results from the ENHANCE Study
Authors: Galadanci Najibah , Phillips Shannon , Schlenz Alyssa , Ivankova Nataliya , Kanter Julie
Published: March 2024

Newborn screening (NBS) for sickle cell disease (SCD) has significantly improved childhood survival but there are still gaps resulting in delayed care for affected infants. As a state-run program, there are no national quality assurance programs to ensure each state achieves consistent, reliable outcomes. We performed this qualitative study of NBS follow-up practices to better evaluate and understand the multi-level, state-specific processes of how each state’s public health department delivers the NBS results to families, how/if they ensure affected infants are seen quickly by sickle cell specialists, and to determine the close-out processes used in each state. This project used semi-structured interviews conducted with 29 participants across eight states to explore these NBS follow-up processes in each state. Participants included SCD providers, NBS coordinators, or personnel associated with state health departments and community-based SCD organizations (CBO). Our results show significant state-dependent variations in the NBS processes of information delivery and patient management. Specifically, programs differed in how they communicated results to affected families and which other organizations were informed of the diagnosis. There was also state-based (and intrastate) variation in who should assume responsibility for ensuring that infants receive confirmatory testing and are promptly started on penicillin prophylaxis. Case closure was also highly variable and poorly validated. Our results also yielded identifiable challenges and facilitators to NBS which were highly variable by state but potentially addressable in the future. This information suggests opportunities for systematic improvement in NBS follow-up processes.
Partial Implant Rehabilitations in the Posterior Regions of the Jaws Supported by Short Dental Implants (7.0 mm): A 7-Year Clinical and 5-Year Radiographical Prospective Study
Authors: de Araújo Nobre Miguel , Antunes Carolina , Lopes Armando , Ferro Ana , Nunes Mariana , Gouveia Miguel , Azevedo Coutinho Francisco , Salvado Francisco
Published: March 2024

Background: Short implants have been used in the restoration of edentulous jaws in the past several years. However, some studies have suggested that short implants are less successful than standard implants. The aim of this study is to investigate the outcome of short implants placed in the posterior maxilla or mandible following one-stage or immediate-function protocols with a follow-up of 7 years (clinically) and 5 years (radiographically). Methods: This study included 127 patients rehabilitated with 217 implants measuring 7 mm and supporting 157 fixed prostheses in the posterior segments of both jaws. Final abutments were delivered at the surgery stage and were loaded after 4 months in 116 patients (199 implants). The primary outcome measure was implant survival measured through life tables. Secondary outcome measures were marginal bone loss and the incidence of biological and mechanical complications at the patient level and implant level (evaluated through descriptive statistics). Results: Twenty-four patients (18.9%) with 45 implants (20.7%) were lost to the follow-up. In total, 32 implants failed (14.8%) in 22 patients (17.3%), resulting in a cumulative survival rate at 7 years of 81.2% for 7 mm implants in the rehabilitation of the posterior regions of the maxilla and mandible. The average (standard deviation) marginal bone loss was 1.47 mm (0.99 mm) at 5 years. The incidence rate of biological complications was 12.6% and 10.6% at the patient and implant levels, respectively. The incidence rate of mechanical complications was 21.3% for patients and 16.1% for implants. A higher failure rate was registered in smokers and in implant arrangements with a sequence of three fixtures in proximity. Conclusions: Within the limitations of this study, it can be concluded that the placement of 7 mm long implants for the partial implant-supported rehabilitation of atrophic posterior jaws is possible in the long term, judging by the survival rate and stable average marginal bone loss. Nevertheless, strict case selection should be performed, especially in smokers and with implant arrangements that provide a minimum of one unit in inter-implant distance.
Acellular Dermal Matrices as an New Alternative for Treatment in Reproductive Organ Static Disorders: A Pilot Study
Authors: Sadłocha Marcin , Skowronek Kaja , Łabuś Wojciech , Staniczek Jakub , Mansar-Dyrbuś Maisa , Stojko Rafał
Published: March 2024

Background: The study aimed to evaluate the clinical effects of utilizing acellular dermal matrix (ADM) for treating pelvic organ prolapse. The motivation behind exploring a new treatment method stems from the limited efficacy of current surgical options, which are often associated with side effects. Methods: Ten patients with reproductive organ prolapse underwent surgery at the Chair and Department of Gynecology, Obstetrics, and Gynecological Oncology in Katowice. ADM was used as a support material, with eight patients receiving double TOT and two undergoing a six-point fixation mesh procedure. Pelvic organ prolapse was evaluated pre-operatively and one month post-surgery using the Pelvic Organ Prolapse Quantification (POP-Q) System. General medical history and complaints were assessed using the short form (PFDIQ-SF20). The study included ten patients aged 39 to 71 (mean: 63.6 years), all with a history of at least one vaginal delivery (mean of two). None had undergone a cesarean section. Four patients exhibited POP-Q 3, and five had POP-Q 2. Results: The mean PFDIQ-SF20 score before surgery was 70.6 points. No major complications occurred during or after surgery. One patient experienced a vaginal fungal infection and an allergic reaction to sutures. Post-operation, ailments reduced by an average of 60.76 points, with five patients reporting no complaints. Conclusions: ADM emerges as a material of interest for gynecological surgery, with initial reports highlighting its effectiveness and optimistic safety profile. Further research is warranted to explore its potential as a promising option in pelvic organ prolapse treatment.
The Benefit of an Umbrella Protocol: Reducing Challenges in Orthopedic Oncology Research
Authors: Simister Samuel K. , Tse Shannon , Saade Aziz , Sweeney Chancey A. , Wise Barton L. , Thorpe Steven W. , Randall R. Lor
Published: March 2024

Background: Orthopedic oncology research is hindered by the scarcity of musculoskeletal tumors and research administrative inefficiencies. This paper introduces observational research through an innovative institution-specific methodology—termed an umbrella protocol. This protocol outlines a comprehensive standard procedure to expedite ethical approval for future aligned studies, reducing administrative barriers to research. Methods: We developed an umbrella protocol at an academic center, involving meticulous methodological identification and coordination with the institutional review board (IRB) to adhere to local guidelines. The protocol encompasses identifying investigators, research objectives, study goals, and data and safety monitoring frameworks necessary for typical standards. Results: Implementation of the umbrella protocol took 110 days to achieve exemption status, following multiple discussions with the IRB and extensive revisions. At the authors institution, this protocol significantly reduces protocol review times from an average of six-to-eight weeks to nearly instantaneous, facilitating a streamlined research process. Additionally, we established a dedicated orthopedic oncology patient registry to enhance future research endeavors. Conclusions: The adoption of umbrella protocols represents a pioneering strategy in orthopedic oncology. This approach mitigates research administrative burdens and broadens research scope in the field. It underscores the necessity of IRB collaboration, methodological precision, and stringent data management. The article also reflects on the ethical implications and potential biases introduced by emerging technologies like artificial intelligence, advocating for diligent ethical oversight. The establishment of an umbrella protocol marks a significant step towards more efficient research methodologies, ultimately aiming to improve patient care and outcomes for individuals with rare musculoskeletal conditions.
Impact of the Timing of Mechanical Circulatory Support on the Outcomes in Myocardial Infarction-Related Cardiogenic Shock: Subanalysis of the PREPARE CS Registry
Authors: Prunea Dan M. , Bachl Eva , Herold Lukas , Kanoun Schnur Sadeek S. , Pätzold Sascha , Altmanninger-Sock Siegfried , Sommer Gudrun A. , Glantschnig Theresa , Kolesnik Ewald , Wallner Markus , Ablasser Klemens , Bugger Heiko , Buschmann Eva , Praschk Andreas , Fruhwald Friedrich M. , Schmidt Albrecht , von Lewinski Dirk , Toth Gabor G.
Published: March 2024

(1) Background: Mechanical circulatory support (MCS) in myocardial infarction-associated cardiogenic shock is subject to debate. This analysis aims to elucidate the impact of MCS’s timing on patient outcomes, based on data from the PREPARE CS registry. (2) Methods: The PREPARE CS prospective registry includes patients who experienced cardiogenic shock (SCAI classes C–E) and were subsequently referred for cardiac catheterization. Our present analysis included a subset of this registry, in whom MCS was used and who underwent coronary intervention due to myocardial infarction. Patients were categorized into an Upfront group and a Procedural group, depending on the timing of MCS’s introduction in relation to their PCI. The endpoint was in-hospital mortality. (3) Results: In total, 71 patients were included. MCS was begun prior to PCI in 33 (46%) patients (Upfront), whereas 38 (54%) received MCS during or after the initiation of PCI (Procedural). The groups’ baseline characteristics and hemodynamic parameters were comparable. The Upfront group had a higher utilization of the Impella® device compared to extracorporeal membrane oxygenation (67% vs. 33%), while the Procedural group exhibited a balanced use of both (50% vs. 50%). Most patients suffered from multi-vessel disease in both groups (82% vs. 84%, respectively; p = 0.99), and most patients required a complex PCI procedure; the latter was more prevalent in the Upfront group (94% vs. 71%, respectively; p = 0.02). Their rates of complete revascularization were comparable (52% vs. 34%, respectively; p = 0.16). Procedural CPR was significantly more frequent in the Procedural group (45% vs. 79%, p < 0.05); however, in-hospital mortality was similar (61% vs. 79%, respectively; p = 0.12). (4) Conclusions: The upfront implantation of MCS in myocardial infarction-associated CS did not provide an in-hospital survival benefit.
Hearing Recovery Prediction for Patients with Chronic Otitis Media Who Underwent Canal-Wall-Down Mastoidectomy
Authors: Chae Minsu , Yoon Heesoo , Lee Hwamin , Choi June
Published: March 2024

Background: Chronic otitis media affects approximately 2% of the global population, causing significant hearing loss and diminishing the quality of life. However, there is a lack of studies focusing on outcome prediction for otitis media patients undergoing canal-wall-down mastoidectomy. Methods: This study proposes a recovery prediction model for chronic otitis media patients undergoing canal-wall-down mastoidectomy, utilizing data from 298 patients treated at Korea University Ansan Hospital between March 2007 and August 2020. Various machine learning techniques, including logistic regression, decision tree, random forest, support vector machine (SVM), extreme gradient boosting (XGBoost), and light gradient boosting machine (light GBM), were employed. Results: The light GBM model achieved a predictive value (PPV) of 0.6945, the decision tree algorithm showed a sensitivity of 0.7574 and an F1 score of 0.6751, and the light GBM algorithm demonstrated the highest AUC-ROC values of 0.7749 for each model. XGBoost had the most efficient PR-AUC curve, with a value of 0.7196. Conclusions: This study presents the first predictive model for chronic otitis media patients undergoing canal-wall-down mastoidectomy. The findings underscore the potential of machine learning techniques in predicting hearing recovery outcomes in this population, offering valuable insights for personalized treatment strategies and improving patient care.