bluuebunny/crossref_metadata_2025 huggingface dataset:
Antihypertensive and Antidiabetic Drug Candidates from Milkfish (Chanos chanos)—Identification and Characterization through an Integrated Bioinformatic Approach
Authors: Nugraha Roni , Kurniawan Fahmi , Abdullah Asadatun , Lopata Andreas L. , Ruethers Thimo
Published: August 2024

Integrated bioinformatics tools have created more efficient and robust methods to overcome in vitro challenges and have been widely utilized for the investigation of food proteins and the generation of peptide sequences. This study aimed to analyze the physicochemical properties and bioactivities of novel peptides derived from hydrolyzed milkfish (Chanos chanos) protein sequences and to discover their potential angiotensin-converting enzyme (ACE)- and dipeptidyl peptidase-4 (DPPIV)-inhibitory activities using machine learning-based tools, including BIOPEP-UWM, PeptideRanker, and the molecular docking software HADDOCK 2.4. Nine and three peptides were predicted to have ACE- and DPPIV-inhibitory activities, respectively. The DPPIV-inhibitory peptides were predicted to inhibit the compound with no known specific mode. Meanwhile, two tetrapeptides (MVWH and PPPS) were predicted to possess a competitive mode of ACE inhibition by directly binding to the tetra-coordinated Zn ion. Among all nine discovered ACE-inhibitory peptides, only the PPPS peptide satisfied the drug-likeness analysis requirements with no violations of the Lipinski rule of five and should be further investigated in vitro.
‘I Don’t Want to Look Too Fresh off the Boat, You Know?’ Nationhood and Belonging: The Cruel Optimism of Contemporary Australian Multiculturalism
Authors: Nilsson-Siu Lauren Camilla
Published: August 2024

Taking the debate about cultural appropriation as a starting point, this article explores the relationship different members of the South Asian Australian diaspora have to the Australian multicultural project. Specifically, this article employs an archive of interviews from 2018 with second-generation South Asian Australian women and their (first-generation) mothers and/or grandmothers and explores how they feel about the cultural appropriation of South Asian cultural artefacts (hereafter, ‘Indo chic’). These interviews revealed that first-generation respondents were generally uncritical of Indo chic and perceived non-South Asian Australians consuming South Asian cultural artefacts as a sign of positive cross-cultural exchange that is emblematic of Australian multiculturalism. The second-generation respondents, however, felt threatened by Indo chic and felt appropriation was a racist microaggression that served to reiterate their racial difference (and inferiority) in a white settler society. The generational difference in sentiment reveals a productive fissure within migrant Australian communities to interrogate our feelings about being and feeling ‘Australian’. This article argues that conversations and debates about ‘Indo chic’ within South Asian Australian diasporas reveal the contours of what it is like to be a South Asian woman in contemporary multicultural Australia while also revealing flaws in the Australian multicultural project. In this article, I employ an affective analysis of their responses, drawing on Lauren Berlant’s idea of ‘cruel optimism’ and Sara Ahmed’s conceptions of love and the nation to fully explore the complicated somatics ‘Indo chic’ debates reveal for my respondents.
Exploring Nurses’ Emotional Resilience and Coping Strategies in Palliative and End-of-Life Care Settings in Saudi Arabia: A Qualitative Study
Authors: Alodhialah Abdulaziz M. , Almutairi Ashwaq A. , Almutairi Mohammed
Published: August 2024

Background: Nurses working in palliative and end-of-life care settings face significant emotional challenges due to the demanding nature of their profession. This study aimed to explore the emotional resilience of these nurses, understanding the factors that contribute to their resilience, the impact on their professional well-being and performance, and strategies to enhance resilience. Methods: A qualitative study was conducted involving 15 registered nurses from various healthcare facilities in Riyadh, Saudi Arabia. Data were collected through semi-structured interviews, document analysis, and observational data. Thematic analysis was employed to identify recurring themes. Results: The study identified three key themes: Emotional Challenges and Resilience-Building, Support Systems and Resources for Resilience, and Professional Growth and Fulfillment as Resilience Factors. The findings revealed the emotional toll of patient suffering, highlighting resilience-building strategies, such as peer support, mindfulness, and reflective practices. Support systems, including workplace support, organizational resources, and mentorship, were identified as crucial for fostering resilience. Professional growth, a sense of purpose, and recognition emerged as factors contributing to resilience. Conclusions: This study underscores the importance of emotional resilience for nurses in palliative and end-of-life care settings. Healthcare organizations can enhance resilience by implementing resilience training, providing counseling services, fostering a supportive culture, and offering professional development opportunities. Addressing the emotional needs of nurses is vital for their well-being and the delivery of compassionate care.
The Content and Nature of Rumination in Chinese Young and Middle-Aged Patients with Acute Coronary Syndrome: A Qualitative Study
Authors: Li Anan , Ji Siying , Nie Yangfan , Chi Meixuan , Wang Naijuan , Zhu Zhaoying , Li Shan , Hou Yunying
Published: August 2024

Individuals have different rumination patterns after experiencing traumatic events in different cultural backgrounds and situations. This study aimed to explore the experience of Chinese young and middle-aged patients with acute coronary syndrome (ACS) to understand the content and nature of their rumination. Sixteen participants were selected using the purposive sampling method in the First Affiliated Hospital of Soochow University from May 2023 to December 2023. Data were collected using semi-structured interviews and analyzed using Colaizzi’s seven-step phenomenological method. The participants went through two successive stages: non-adaptive rumination and adaptive rumination. During the initial admission phase, all the participants experienced varying degrees of non-adaptive rumination. Non-adaptive rumination included four sub-themes: worry or anxiety of daily activities and medical therapy (37.50%), fear of unpredictable outcomes and death (37.50%), sadness of maladjustment (25.00%), and remorse of carelessness (12.50%). During the period of stable condition and pre-discharge, the participants received health education and gradually all transitioned to adaptive rumination. Adaptive rumination included four sub-themes: tracing of disease processes (100%), enhancement of disease cognition (81.25%), improvement of health awareness (62.50%), and adjustment of lifestyle cognition (100%). In conclusion, although the Chinese young and middle-aged patients with ACS experienced negative emotions after a traumatic cardiac event, they gradually made positive changes, and optimism and information support played important roles in this transition. The results of this study provide a fundamental understanding of rumination experiences in Chinese young and middle-aged patients with ACS and provide new data for healthcare providers when designing intervention programs to enhance post-traumatic growth in these patients.
The Application of Carbon-Based Fertilizer Changed the Microbial Composition and Co-Occurrence Network Topological Properties of Vineyard Soil
Authors: Sun Ping , Wu Jiaqi , Lin Xianrui , Chen Chenfei , Zhu Jianxi , Wang Yi , Zhou Jian , Wang Huaxin , Shen Jiansheng , Jia Huijuan
Published: August 2024

Charcoal-based fertilizer could be used extensively and is environmentally friendly. An experiment was designed to investigate the effects of different charcoal-based fertilizer application methods on soil microbiology and grape quality in a vineyard to guide the cultivation of ‘Shine-Muscat’. A control treatment without fertilization and six other treatments were set up. Four treatments applied carbon-based fertilizer as a base fertilizer with or without potassium fulvic acid, a complex microbial agent, or Bacillus subtilis, and two treatments were only applied with two applications of carbon-based fertilizer or compound fertilizer during the expansion period. The results showed that the bacterial phyla were mainly Proteobacteria and Bacteroidetes. Ascomycota, Basidiomycota, and Mortierellomycota dominated the fungal community. At the genus level, the composition of fungi, compared to bacteria, varied significantly, while the dominant flora differed among fertilization practices. Application of charcoal-based fertilizer enriched beneficial microorganisms, while chemical fertilizers enriched pathogenic microorganisms. The addition of microbial fungicides and biostimulants for a period reduced the size of the microbial network, lowered positive correlations, and enhanced resistance to adverse conditions and diseases and there was no significant correlation between agronomic traits and microbial network topology. A combination of soil microbial and grape agronomic traits suggests that a charcoal-based fertilizer base, with microbial fungicides applied, is the optimal fertilization regimen for grape.
The Functional Significance of Cardiac Looping: Comparative Embryology, Anatomy, and Physiology of the Looped Design of Vertebrate Hearts
Authors: Männer Jörg
Published: August 2024

The flow path of vertebrate hearts has a looped configuration characterized by curved (sigmoid) and twisted (chiral) components. The looped heart design is phylogenetically conserved among vertebrates and is thought to represent a significant determinant of cardiac pumping function. It evolves during the embryonic period of development by a process called “cardiac looping”. During the past decades, remarkable progress has been made in the uncovering of genetic, molecular, and biophysical factors contributing to cardiac looping. Our present knowledge of the functional consequences of cardiac looping lags behind this impressive progress. This article provides an overview and discussion of the currently available information on looped heart design and its implications for the pumping function. It is emphasized that: (1) looping seems to improve the pumping efficiency of the valveless embryonic heart. (2) bilaterally asymmetric (chiral) looping plays a central role in determining the alignment and separation of the pulmonary and systemic flow paths in the multi-chambered heart of tetrapods. (3) chiral looping is not needed for efficient pumping of the two-chambered hearts of fish. (4) it is the sigmoid curving of the flow path that may improve the pumping efficiency of lower as well as higher vertebrate hearts.
Optimization of Sailing Speed for Inland Electric Ships Based on an Improved Multi-Objective Particle Swarm Optimization (MOPSO) Algorithm
Authors: Zhang  Kang , Liu  Chenguang , He  Zhibo , Chen  Huimin , Xiang  Qian , Chu  Xiumin
Published: August 2024

Sailing speed is a critical factor affecting the ship’s energy consumption and operating costs for a voyage. Inland waterways present a complex navigation environment due to their narrow channels, numerous curved segments, and significant variations in water depth and flow speed. This paper constructs a model of a ship’s energy consumption based on an analysis of ship resistance and the energy transfer relationship of ships. The K-means clustering algorithm is introduced to divide the Yangtze River waterway into multiple segments based on the similarity of navigation environments. Considering the constraints of the ship’s main engine and the desired arrival time, a multi-objective particle swarm optimization (MOPSO) algorithm, improved with cosine decreasing inertial weight and Gaussian random mutation, is employed to optimize segmented navigation speeds to achieve different goals. Finally, four cases are studied with a fully electric ship navigating the reaches of the Yangtze River. The results indicate that the optimized speed can reduce ship energy consumption by up to 6.18% and significantly reduce ship energy consumption and operational costs under different conditions.
SICFormer: A 3D-Swin Transformer for Sea Ice Concentration Prediction
Authors: Jiang Zhuoqing , Guo Bing , Zhao Huihui , Jiang Yangming , Sun Yi
Published: August 2024

Sea ice concentration (SIC) is an important dimension for characterising the geographical features of the pan-Arctic region. Trends in SIC bring new opportunities for human activities in the Arctic region. In this paper, we propose a deep learning technology-based sea ice concentration prediction model, SICFormer, which can realise end-to-end daily sea ice concentration prediction. Specifically, the model uses a 3D-Swin Transformer as an encoder and designs a decoder to reconstruct the predicted image based on PixelShuffle. This is a new model architecture that we have proposed. Single-day SIC data from the National Snow and Ice Data Center (NSIDC) for the years 2006 to 2022 are utilised. The results of 8-day short-term prediction experiments show that the average Mean Absolute Error (MAE) of the SICFormer model on the test set over the 5 years is 1.89%, the Root Mean Squared Error (RMSE) is 5.99%, the Mean Absolute Percentage Error (MAPE) is 4.32%, and the Nash–Sutcliffe Efficiency (NSE) is 0.98. Furthermore, the current popular deep learning models for spatio-temporal prediction are employed as a point of comparison given their proven efficacy on numerous public datasets. The comparison experiments show that the SICFormer model achieves the best overall performance.
Underwater Long Baseline Positioning Based on B-Spline Surface for Fitting Effective Sound Speed Table
Authors: Xing Yao , Wang Jiongqi , Hou Bowen , He Zhangming , Zhou Xuanying
Published: August 2024

Due to the influence of the complex underwater environment, the sound speed constantly changes, resulting in the acoustic signal propagation trajectory being curved, which greatly affects the positioning accuracy of the underwater long baseline (LBL) system. In this paper, an improved LBL positioning method based on a B-spline surface for fitting the effective sound speed table (ESST) is proposed. Firstly, according to the underwater sound speed profile, the discrete ESST of each measurement station is constructed before the positioning test, and then, the node position of the B-spline surface is optimized by particle swarm optimization (PSO) to accurately fit the discrete ESST. Based on this, the improved LBL positioning method is constructed. In the underwater positioning test, the effective sound speed can be quickly found by measuring the time of arrival (TOA) of the acoustic signal and the target depth, and moreover, the target position parameters can be quickly and accurately estimated. The numerical simulation results show that the improved positioning method proposed in this paper can effectively improve the LBL positioning accuracy and provide the theoretical basis and the technical support for the underwater navigation and positioning.
Small-Sample Fault Diagnosis of Axial Piston Pumps across Working Conditions, Based on 1D-SENet Model Migration
Authors: Yang Xukang , Jiang Anqi , Jiang Wanlu , Yue Yi , Jing Lei , Zhou Junjie
Published: August 2024

Hydraulic pumps are the core components that provide power for hydraulic transmission systems, which are widely used in aerospace, marine engineering, and mechanical engineering, and their failure affects the normal operation of the entire system. This paper takes a single axial piston pump as the research object and proposes a small-sample fault diagnosis method based on the model migration strategy for the situation in which only a small number of training samples are available for axial piston pump fault diagnosis. To achieve end-to-end fault diagnosis, a 1D Squeeze-and-Excitation Networks (1D-SENets) model was constructed based on a one-dimensional convolutional neural network and combined with the channel domain attention mechanism. The model was first pre-trained with sufficient labeled fault data from the source conditions, and then, based on the model migration strategy, some of the underlying network parameters were fixed, and a small amount of labeled fault data from the target conditions was used to fine-tune the rest of the parameters of the pre-trained model. In this paper, the proposed method was validated using an axial piston pump fault dataset, and the experimental results show that the method can effectively improve the overfitting problem in the small sample fault diagnosis of axial piston pumps and improve the recognition accuracy.
Evaluating the Relationship between Accounting Variables, Value-Based Management Variables, and Shareholder Returns: An Empirical Approach
Authors: Oke Oji Okpusa , Ajeigbe Kola Benson
Published: August 2024

This study assessed the accounting-based variables and value-based management (VBM) variables that jointly affect firm value and performance. The study applied the causality test and variance decomposition to determine the variability of the variables, and further empirically employed fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) techniques to justify the results. Data covering 356 industries were purposively sampled to arrive at 61 companies spanning 2011–2020. Overall, the causality test found no relationship between economic value added and market value added but only found unidirectional causality from shareholder returns to MVA, EVA to shareholder returns, ROA to MVA, ROE to MVA, EVA to MVA, MVA to EVA, ROE to ROA, EVA to ROA, and EVA to ROE. A very strong bidirectional causality relationship was found between return on asset and shareholder return as a measure of company performance. Further results from the forecast error of the variance decomposition showed that shareholder returns are explained only by its own shock, contributing 45.38 percent in the long run, while the remaining variables, namely market value added, return on asset, return on equity, and economic value added, contribute about 35.96%, 14.06%, 4.08%, and 0.51%, respectively, to predicting the future values of shareholder return. This confirms the relationships between the variables from the short run to the long run. Additionally, results from the FMOL and DOL revealed that all accounting variables and VBM are good approaches for evaluating company performance as the empirical result from ROA, ROE, and EVA revealed positive and significant relationships. This confirms that a combination of both variables would produce a better evaluation as the accounting variables and VBM variables jointly relate to shareholder returns. This study serves as a guide to companies’ management and boards of directors in having better ways to evaluate company performance. Consequently, it is recommended that managers select combinations of accounting and VBM variables that suit their operations and jointly apply them in the performance evaluation of the company. This will be useful in providing both the relative and incremental performance information needed for diverse decision-making.
Abnormal Driving Area Detection Using Multiple Vehicle Dynamic Model-Based Filter: Design and Experimental Validation
Authors: Kang Changmook , Lee Taehyung , Shin Jongho
Published: August 2024

The main concern of remote control systems for autonomous ground vehicles (AGVs) is to perform the given mission according to the purpose of the operator. Although most remote systems are composed of a screen-based architecture, they are insufficient to transfer sufficient information to the remote operator. Therefore, in this paper, we present and experimentally validate an abnormal driving area detection system using an interacting multiple model (IMM) filter for the remote control system. In the proposed IMM filter, the unknown dynamic behavior of the vehicle, which changes according to changes in the driving environment, was lumped into a parameter change of the system model. As a result, we can obtain the probability of each model representing the reliability of each model, but an index can be used to infer the current status of the AGV and the driving environment. The index can help us detect both unusual behavior of the AGV such as skidding or sliding, and areas with low-friction road conditions that are not confirmed by images from the camera sensor. Thus, the remote operator can directly decide whether to continue operating or not. The proposed method is simple but useful and meaningful for the remote operator compared to the image-only method. The overall procedure of the proposed method was experimentally validated via a multi-purpose AGV on rough unpaved proving ground. Nine abnormal driving areas were discovered on the ground. In five of these areas, vehicles consistently exhibited abnormal driving behavior. The remaining four areas were confirmed to be affected by variables such as weather conditions and vehicle tire wear.
Uncertainty Optimization of Vibration Characteristics of Automotive Micro-Motors Based on Pareto Elliptic Algorithm
Authors: Hu Hao , Wang Deping , Wu Yudong , Deng Jianjiao , Chen Xi , Ding Weiping
Published: August 2024

The NVH (Noise, Vibration, and Harshness) characteristics of micro-motors used in vehicles directly affect the comfort of drivers and passengers. However, various factors influence the motor’s structural parameters, leading to uncertainties in its NVH performance. To improve the motor’s NVH characteristics, we propose a method for optimizing the structural parameters of automotive micro-motors under uncertain conditions. This method uses the motor’s maximum magnetic flux as a constraint and aims to reduce vibration at the commutation frequency. Firstly, we introduce the Pareto ellipsoid parameter method, which converts the uncertainty problem into a deterministic one, enabling the use of traditional optimization methods. To increase efficiency and reduce computational cost, we employed a data-driven method that uses the one-dimensional Inception module as the foundational model, replacing both numerical models and physical experiments. Simultaneously, the module’s underlying architecture was improved, increasing the surrogate model’s accuracy. Additionally, we propose an improved NSGA-III (Non-dominated Sorting Genetic Algorithm III) method that utilizes adaptive reference point updating, dividing the optimization process into exploration and refinement phases based on population matching error. Comparative experiments with traditional models demonstrate that this method enhances the overall quality of the solution set, effectively addresses parameter uncertainties in practical engineering scenarios, and significantly improves the vibration characteristics of the motor.
Assessment of the Uniform Wear Bending Strength of Large Modulus Rack and Pinion Pair: Theoretical vs. Experimental Results
Authors: Gong Zongxing , Chen Baojia , Cheng Xuan
Published: August 2024

Due to long-term operation under low-speed and heavy-load conditions, large module gears and racks are inevitably subject to tooth surface wear. To investigate the changes in gear tooth bending strength, the Three Gorges ship lift was taken as the research object and a simulation test bench was established. An analytical method, a finite element method, and an experimental method were utilized to analyze the bending stress of gears under normal and various uniform wear conditions. The obtained results revealed that with the increase in wear degree and load, the bending stress of single-tooth meshing was significantly higher than that of double-tooth meshing, and the single-tooth meshing time also increased, which indicates that gear wear accelerated the process of performance degradation. Furthermore, the relative errors obtained by the three calculation methods were all at a low level. This investigation aims to provide a solid theoretical and experimental basis for the dynamic analysis of large module gear and rack transmission.
Communication-Efficient Wireless Traffic Prediction with Federated Learning
Authors: Gao Fuwei , Zhang Chuanting , Qiao Jingping , Li Kaiqiang , Cao Yi
Published: August 2024

Wireless traffic prediction is essential to developing intelligent communication networks that facilitate efficient resource allocation. Along this line, decentralized wireless traffic prediction under the paradigm of federated learning is becoming increasingly significant. Compared to traditional centralized learning, federated learning satisfies network operators’ requirements for sensitive data protection and reduces the consumption of network resources. In this paper, we propose a novel communication-efficient federated learning framework, named FedCE, by developing a gradient compression scheme and an adaptive aggregation strategy for wireless traffic prediction. FedCE achieves gradient compression through top-K sparsification and can largely relieve the communication burdens between local clients and the central server, making it communication-efficient. An adaptive aggregation strategy is designed by quantifying the different contributions of local models to the global model, making FedCE aware of spatial dependencies among various local clients. We validate the effectiveness of FedCE on two real-world datasets. The results demonstrate that FedCE can improve prediction accuracy by approximately 27% with only 20% of communications in the baseline method.
Generating Stochastic Structural Planes Using Statistical Models and Generative Deep Learning Models: A Comparative Investigation
Authors: Meng Han , Xu Nengxiong , Zhu Yunfu , Mei Gang
Published: August 2024

Structural planes are one of the key factors controlling the stability of rock masses. A comprehensive understanding of the spatial distribution characteristics of structural planes is essential for accurately identifying key blocks, analyzing rock mass stability, and addressing various rock engineering challenges. This study compares the effectiveness of four stochastic structural plane generation methods—the Monte Carlo method, the Copula-based method, generative adversarial networks (GAN), and denoised diffusion models (DDPM)—in generating stochastic structural planes and capturing potential correlations between structural plane parameters. The Monte Carlo method employs the mean and variance of three parameters of the measured factual structural planes to generate data that follow the same distributions. The other three methods take the entire set of measured factual structural planes as the overall input to generate structural planes that exhibit the same probability distributions. Five sets of structural planes on four rock slopes in Norway are examined as an example. The validation and analysis were performed using histogram comparison, data feature comparison, scatter plot comparison, and linear regression analysis. The results show that the Monte Carlo method fails to capture the potential correlation between the dip direction and dip angle despite the best fit to the measured factual structural planes. The Copula-based method performs better with smaller datasets, and GAN and DDPM are better at capturing the correlation of measured factual structural planes in the case of large datasets. Therefore, in the case of a limited number of measured structural planes, it is advisable to employ the Copula-based method. In scenarios where the dataset is extensive, the deep generative model is recommended due to its ability to capture complex data structures. The results of this study can be utilized as a valuable point of reference for the accurate generation of stochastic structural planes within rock masses.
Deciphering Bacterial Chemorepulsion: The Complex Response of Microbes to Environmental Stimuli
Authors: Fu Ruixin , Feng Haichao
Published: August 2024

Bacterial motility relying on flagella is characterized by several modes, including swimming, swarming, twitching, and gliding. This motility allows bacteria to adapt remarkably well to hostile environments. More than 50% of bacteria naturally contain flagella, which are crucial for bacterial chemotaxis motility. Chemotaxis can be either positive, where bacteria move towards a chemical source, or negative, known as chemorepulsion, where bacteria move away from the source. Although much is known about the mechanisms driving chemotaxis towards attractants, the molecular mechanisms underlying chemorepulsion remain elusive. Chemotaxis plays an important role in the colonization of the rhizosphere by rhizobacteria. Recently, researchers have systematically studied the identification and recognition mechanisms of chemoattractants. However, the mechanisms underlying chemorepellents remain unclear. Systematically sorting and analyzing research on chemorepellents could significantly enhance our understanding of how these compounds help probiotics evade harmful environments or drive away pathogens.
Modification of the Mohr–Coulomb Criterion and Its Application in the Cracking of Ring-Stiffened Cylinders Made of Titanium Alloy
Authors: Yu Xiangyu , Xu Kewang , Xu Qiang , Zhang Aifeng , Zhang Hao
Published: August 2024

TC4 ELI alloy is widely used in the marine, medicine, and aviation fields. The failure performance of TC4 ELI alloy is significantly different from that of other metal materials, such as steels. In this paper, a modified Mohr–Coulomb criterion is calibrated based on several kinds of specimens under different stress states and a 3D geometric representation of a modified Mohr–Coulomb fracture locus for TC4 ELI is obtained based on these parameters. The effectiveness of the modified M-C criterion is studied by a ring-stiffened cylinder made of TC4 ELI. The ultimate strength of the cylinder obtained in the simulation with the modified M-C criterion is close to that obtained in an external pressure experiment, which shows that the modified M-C criterion is suitable for predicting failure in pressure hulls made of titanium alloy used in the deep-sea field.
Optimization and Storage Stability of Milk–Date Beverages Fortified with Sukkari Date Powder
Authors: Younis Mahmoud , Ahmed Khaled A. , Ahmed Isam A. Mohamed , Yehia Hany M. , Abdelkarim Diaeldin O. , Alhamdan Abdulla , Elfeky Ahmed
Published: August 2024

This study aims to determine the feasibility of creating a date–milk beverage with nutritional and antioxidant benefits and determine the optimal formulation and storage conditions to preserve its quality. Date powder–milk beverages with 0%, 10%, 15%, 20%, and 25% weight/weight (w/w) dates were refrigerated at 1 °C and 5 °C for 10 days to evaluate their nutritional and antioxidant activities. The investigation showed that response surface methodology models accurately represented experimental data. Date powder concentration, storage period, and storage temperature all negatively affected pH, which ranged from 6.45 to 7.09, close to but surpassing the optimum pH. The beverage’s total dissolved solids (TSS) declined after 10 days, with no notable changes as the storage temperature rose from 1 °C to 5 °C. Increasing date powder concentrations resulted in darker beverages, with a color change (ΔE) ranging from 12.93 to 35.55. All variables showed a considerable increase in dietary fibers in milk–date beverages. Phenolic levels of 9.7 to 10.05 gallic acid equivalent (GAE)/gram dry weight are preserved by colder storage temperatures and greater date concentrations. During storage, antioxidant activity considerably increased (p < 0.001) for all date concentrations, but did not change with temperature. On the tenth day of storage, high-temperature storage and low date powder content increased colony counts (6.22 log10 CFU/mL). This study suggests that adding dates to dairy-based beverages creates nutritional drinks without additives, processed sugars, or preservatives that customers like. Thus, the optimal storage conditions for date–milk drinks were achieved at a date percentage of 25% w/w and a storage temperature of 1 °C for 10 days.
A Narrowing Place: Responsive Spirituality
Authors: Turner Christopher P.
Published: August 2024

Among the many distinct experiences of cancer is the experience of the parent who watches their child become pale and drained of energy in the weeks preceding diagnosis. The journey from there to the oncology ward is one that can be adequately described as increasingly claustrophobic. It is all one-way traffic from flourishing life to the abyss. Perhaps being a parent makes one even more prone to the universal human tendency to find fault with oneself where there is only the blind force of nature at work. Whatever dark alleyway that self-destructive sentiment emerges from to ambush the optimist, it is certainly an effective hiding place from which to cause them to stumble. The child slips inexorably out of the parent’s grasp. The notion of parental protection is no haven. Yet the blindness of nature unwittingly tips the scales. In the narrowest of narrow places, the human organism responds with homeostatic resilience. Whether death is near or far in this place is unknown. In the moment of constriction, however, the child and its parent respond with that most irreducible of passions, the will to live. The human spirit emerges.
Visual Representations of Weddings in the Middle Ages: Reflections of Legal, Religious, and Cultural Aspects
Authors: Wettlaufer Jörg
Published: August 2024

Wedding rituals and ceremonies have been depicted in various forms of literature, art, and illuminated manuscripts in medieval times. These representations offer valuable insights into the cultural, religious, and social aspects of weddings during that period. This article considers the state of research on visual representations of the wedding ceremony in the Middle Ages and how these pictures reflect legal, religious, and cultural/social aspects of medieval life in Europe. Using examples from various religious, literary, and legal texts, several questions will be addressed: In which contexts were the pictures of wedding ceremonies created? What is depicted and what is not? Which legal, religious, and cultural aspects are reflected in the medieval visualizations of the wedding ritual and how do the visualizations correspond to the religious, legal, and cultural setting of the wedding ritual in the Middle Ages? Illuminated legal manuscripts, particularly the Liber Extra, the Decretals of Pope Gregory IX, reveal much about the rituals that signified the essence of the medieval wedding ceremony: the exchange of consent, the joining of the right hands (dextrarum iunctio), and the blessing of the union by a priest. Since the Fourth Lateran Council in 1215, marriage was considered a sacrament by the Church, making the ritual a fulcrum of religious life. However, only the consummation of a marriage was able to bring the property-related effects of marriage into effect, and some pictures from a secular context refer to this part of the wedding ceremony. The primary function of these visual representations of marriage was the illustration of the text, in both canon law manuscripts and medieval literature. Therefore, they are, besides the textual transmission, valuable sources and crucial interpretive keys for understanding the legal and socio-cultural dimensions that shaped the institution of marriage in medieval Europe.
Loop Detection Method Based on Neural Radiance Field BoW Model for Visual Inertial Navigation of UAVs
Authors: Zhang Xiaoyue , Cui Yue , Ren Yanchao , Duan Guodong , Zhang Huanrui
Published: August 2024

The loop closure detection (LCD) methods in Unmanned Aerial Vehicle (UAV) Visual Inertial Navigation System (VINS) are often affected by issues such as insufficient image texture information and limited observational perspectives, resulting in constrained UAV positioning accuracy and reduced capability to perform complex tasks. This study proposes a Bag-of-Words (BoW) LCD method based on Neural Radiance Field (NeRF), which estimates camera poses from existing images and achieves rapid scene reconstruction through NeRF. A method is designed to select virtual viewpoints and render images along the flight trajectory using a specific sampling approach to expand the limited observational angles, mitigating the impact of image blur and insufficient texture information at specific viewpoints while enlarging the loop closure candidate frames to improve the accuracy and success rate of LCD. Additionally, a BoW vector construction method that incorporates the importance of similar visual words and an adapted virtual image filtering and comprehensive scoring calculation method are designed to determine loop closures. Applied to VINS-Mono and ORB-SLAM3, and compared with the advanced BoW model LCDs of the two systems, results indicate that the NeRF-based BoW LCD method can detect more than 48% additional accurate loop closures, while the system’s navigation positioning error mean is reduced by over 46%, validating the effectiveness and superiority of the proposed method and demonstrating its significant importance for improving the navigation accuracy of VINS.
Pollution Characteristics of Heavy Metals in PM1 and Source-Specific Health Risks in the Tianjin Airport Community, China
Authors: Zhao Jingbo , Xu Jingcheng , Xu Yanhong , Ji Yaqin
Published: August 2024

The airport and its surrounding areas are home to a variety of pollution sources, and air pollution is a recognized health concern for local populated regions. Submicron particulate matter (PM1 with an aerodynamic diameter of <1 mm) is a typical pollutant at airports, and the enrichment of heavy metals (HMs) in PM1 poses a great threat to human health. To comprehensively assess the source-specific health effects of PM1-bound HMs in an airport community, PM1 filter samples were collected around the Tianjin Binhai International Airport for 12 h during the daytime and nighttime, both in the spring and summer, and 10 selected HMs (V, Cr, Mn, Co, Ni, Cu, Zn, As, Cd, and Pb) were analyzed. The indicatory elements of aircraft emissions were certified as Zn and Pb, which accounted for more than 60% of the sum concentration of detected HMs. The health risks assessment showed that the total non-cancer risks (TNCRs) of PM1-bound HMs were 0.28 in the spring and 0.23 in the summer, which are lower than the safety level determined by the USEPA, and the total cancer risk (TCR) was 2.37 × 10−5 in the spring and 2.42 × 10−5 in the summer, implying that there were non-negligible cancer risks in the Tianjin Airport Community. After source apportionment with EF values and PMF model, four factors have been determined in both seasons. Consequently, the source-specific health risks were also evaluated by combining the PMF model with the health risk assessment model. For non-cancer risk, industrial sources containing high concentrations of Mn were the top contributors in both spring (50.4%) and summer (44.2%), while coal combustion with high loads of As and Cd posed the highest cancer risk in both seasons. From the perspective of health risk management, targeted management and control strategies should be adopted for industrial emissions and coal combustion in the Tianjin Airport Community.
Generation of Insulin-Producing Cells from Canine Bone Marrow-Derived Mesenchymal Stem Cells: A Preliminary Study
Authors: Colella Antonella , Biondi Giuseppina , Marrano Nicola , Francioso Edda , Fracassi Laura , Crovace Alberto M. , Recchia Alessandra , Natalicchio Annalisa , Paradies Paola
Published: August 2024

Cell-based therapy using insulin-producing cells (IPCs) is anticipated as an alternative treatment option to insulin injection or pancreatic islet transplantation for the treatment of diabetes mellitus in both human and veterinary medicine. Several protocols were reported for the differentiation of mesenchymal stem cells (MSCs) into IPCs; to date, glucose-responsive IPCs have only been obtained from canine adipose tissue-derived MSCs (cAD-MSCs), but not from canine bone marrow-derived MSCs (cBM-MSCs). Therefore, this study aims to generate in vitro glucose-responsive IPCs from cBM-MSCs using two differentiation protocols: a two-step protocol using trichostatin (TSA) and a three-step protocol using mercaptoethanol to induce pancreatic and duodenal homeobox gene 1 (PDX-1) expression. A single experiment was carried out for each protocol. BM-MSCs from one dog were successfully cultured and expanded. Cells exposed to the two-step protocol appeared rarely grouped to form small clusters; gene expression analysis showed a slight increase in PDX-1 and insulin expression, but no insulin protein production nor secretion in the culture medium was detected either under basal conditions or following glucose stimulation. Conversely, cells exposed to the three-step protocol under a 3D culture system formed colony-like structures; insulin gene expression was upregulated compared to undifferentiated control and IPCs colonies secreted insulin in the culture medium, although insulin secretion was not enhanced by high-glucose culture conditions. The single experiment results suggest that the three-step differentiation protocol could generate IPCs from cBM-MSCs; however, further experiments are needed to confirm these data. The ability of IPCs from cBM- MSCs to produce insulin, described here for the first time, is a preliminary interesting result. Nevertheless, the IPCs’ unresponsiveness to glucose, if confirmed, would affect its clinical application. Further studies are necessary to establish a differentiation protocol in this perspective.
Utilisation and consequences of CRP point-of-care-testing in primary care practices: a real-world multicentre observational study with 1740 patient cases in Germany
Authors: Markwart Robby , Lehmann Lena-Sophie , Krause Markus , Jung Paul , Rost Liliana , Doepfmer Susanne , Kuempel Lisa , Kuschick Doreen , Toutaoui Kahina J , Heintze Christoph , Bleidorn Jutta , Wolf Florian
Published: August 2024

Background

C-reactive protein point-of-care tests (CRP-POCTs) can support GPs' clinical decision making but they are not widely used in German general practices.

Aim

To investigate the utilisation of semi-quantitative CRP-POCTs in routine primary care.

Design & setting

Prospective observational study in 49 general practices in Germany (from November 2022–April 2023).

Method

GPs were provided with CRP-POCTs and collected data for each CRP-POCT use, with standardised data-collection sheets.

Results

Data from 1740 CRP-POCT uses were recorded. GPs employed CRP-POCTs mainly for patients with respiratory tract infections (RTIs; 71.2% of all cases) and to a lesser extent for gastrointestinal infections (GIs; 10.4%). In RTIs, CRP-POCTs were frequently used to distinguish between bacterial and viral aetiology (60.8%) and to guide decisions on antibiotic prescribing (62.8%). In GIs, CRP-POCTs were mainly used to rule out severe disease progressions (53.2%) and for decisions on further diagnostic procedures (45.6%). In RTIs, CRP-POCTs influenced antibiotic prescribing in 77.5% of the cases (32.3% in favour versus 45.2% waiver). In GIs, CRP levels mainly affected decisions on further diagnostic procedures. GPs reported that CRP-POCTs were helpful in 88.6% of all cases.

Conclusion

When available, German GPs predominantly use semi-quantitative CRP-POCTs to guide decisions on antibiotic prescribing in patients with RTIs. CRP-POCT use improves clinical decision making and increases the GP’s clinical confidence.
Pertanggungjawaban Pidana Terhadap Terapis Gigi dan Mulut Atas Dugaan Malpraktik Medik di Praktik Mandiri
Authors: Dewi Witari , Sastrini Ayu Manik
Published: August 2024

Dental and oral health service can be provided by Dental Therapists who have practice license in independent practice. The professional attitude of dental and oral therapists is applied to avoid medical malpractice which is an action or practice that is wrong or deviates from the correct provision or procedures. The formulation of the problem in this research is what criminal liability is for dental and oral therapists who commit medical malpractice in independent practice. The aim of this research is to determine criminal liability is for Dental Therapists who commit medical malpractice in independent practice. The research method used is problem approach used is the applicable law approach and the conceptual approach. The result of the research found that in carrying out independent practice, Dental Therapists found of violation of obligation which lead to criminal act, so Dental Therapists must be held criminal responsible and criminal sanctions are regulated in article 359 and 360 of the Criminal Code explains that the dental and oral therapist made a mistake (negligence) causing patients to be seriously injured or die, is threatened with a maximum prison sentence of five years or a maximum prison sentence of one year. The criminal liability of dental and oral therapists for violating obligations or committing negligence in independent practice must of course be proven in accordance with criminal law theory.The conclusion of this research, that in conduting personal practice, Dental Therapists must meet the applicable requirements, and if there ia a violation that causes harm to the patients, they must be held and face criminal sanctions.
Estratificação de risco com participação popular e acolhimento humanizado à demanda espontânea em saúde bucal
Authors: Carvalho Thaissa Faria , Savassi Leonardo Cançado Monteiro , Bezerra Olívia Maria de Paula Alves , Figueiredo Adriana Maria de
Published: August 2024

O acolhimento humanizado propicia resolutividade e integralidade no cuidado com a população.  O acesso aos serviços pela população é um grande desafio na Estratégia da Saúde da Família, especialmente em razão das medidas restritivas aos processos de trabalho em Saúde Bucal, necessárias devido à pandemia de COVID-19. A estratificação de risco pode garantir o atendimento resolutivo aos usuários. O objetivo deste artigo é relatar a experiência da estratificação de risco da demanda espontânea com acolhimento humanizado na Atenção Primária à Saúde em uma Unidade Básica de Saúde em Contagem, Minas Gerais. Para o acolhimento e organização da demanda espontânea foram propostas a escuta qualificada e humanizada e a estratificação do risco, utilizando uma planilha para organização da demanda e um quadro simplificado com os principais agravos cotidianos de saúde bucal. A equipe de Saúde Bucal organiza diariamente a demanda espontânea e a estratificação aplicada é discutida e pactuada com os usuários, trazendo horizontalidade, autonomia, coletividade, valorização dos usuários e comprometimento com o cuidado. A estratificação de risco, associada ao acolhimento humanizado da demanda espontânea, valoriza o cuidado por meio desta porta de entrada no serviço. Esta estratégia empodera o usuário, tornando-o parte efetiva na ação desenvolvida. Essa iniciativa favorece a integração da equipe de Saúde Bucal com a comunidade e com os demais membros da equipe de saúde.