bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of pH on the Emulsification Properties of Heated Whey Protein–Pectin Complexes
Authors: Wang Yeyang , Vardhanabhuti Bongkosh
Published: July 2024

Interactions between proteins and polysaccharides could improve protein functional properties. Most studies focus on the formation of complex coacervates at pHs < pI. Much less attention has been given to the interactions at pHs > pI, especially when the mixtures are heated. The objective of this study was to investigate the emulsification properties of heated whey protein isolate (WPI) and pectin complexes formed at near neutral pHs. Heated soluble complexes (Cpxs) were formed by heating mixed WPI (3 wt% protein) and pectin (0 to 0.60 wt%) at pH 6.0, 6.5, or 7.0 at 85 °C for 30 min. Emulsions (5 wt% oil, 0.5 wt% protein, and pH 5.5) were characterized by measuring droplet size, zeta potential, rheological properties, and creaming stability. The results showed that, regardless of heating pH, Cpxs formed more stable emulsions with significantly smaller droplet sizes, higher negative charges, and less shear-thinning behavior in comparison to emulsions stabilized by heated WPI (p < 0.05). At fixed pectin concentrations, the emulsions stabilized by Cpx formed at pH 7.0 were the most stable. Increasing pectin concentrations led to a decrease in mean droplet sizes and an increase in negative charge. Maximum stability was achieved with the emulsion stabilized by Cpx formed with 0.60 wt% pectin at pH 7.0. The formation of Cpxs under proper conditions will allow for the utilization of WPI in a wider range of applications and fulfill the consumer need for clean label food products.
Evaluation of Pre-Harvest Nutrient Composition and Functional Active Substances in Various Lotus Roots
Authors: Dong Wanyu , Liu Xueting , Yi Yang , Wang Limei , Hou Wenfu , Ai Youwei , Wang Hongxun , Min Ting
Published: July 2024

This study investigated the impact of variety and harvest time on the visual appearance, nutritional quality, and functional active substances of six lotus root cultivars: “Xinsanwu”, “Wuzhi No. 2”, “Baiyuzhan”, “Huaqilian”, “Elian No. 6”, and “Elian No. 5”. Samples were collected monthly from December 2023 to April 2024. A nutrient analysis revealed a decrease in the water content with a delayed harvest. The total soluble solids and soluble sugar content peaked towards the end and middle-to-late harvest periods, respectively. Starch levels initially increased before declining, while the soluble protein exhibited a triphasic trend with an initial rise, a dip, and a final increase. The vitamin C (Vc) content varied across cultivars. Functional active substances displayed dynamic changes. The total phenolics initially decreased, then increased, before ultimately declining again. The total flavonoid content varied by both cultivar and harvest time. The phenolic acid and flavonoid content mirrored the trends observed for total phenolics and total flavonoids. Gastrodin was the most abundant non-flavonoid compound across all varieties. “Wuzhi No. 2” and “Baiyuzhan” displayed higher levels of functional active substances and starch, while the Elian series and “Xinsanwu” cultivar exhibited a greater content of Vc, soluble sugar, and soluble protein. Specific harvest periods yielded optimal results: “Wuzhi No. 2” (H1 and H5), “Huaqilian” (H2), and “Baiyuzhan” (H3 and H4) demonstrated a high nutrient and functional active substance content. Overall, the lotus roots harvested in period H4 achieved the highest score. Overall, this study provides the foothold for the rapid identification of superior lotus root cultivars and the valorization of lotus root by-products via advanced processing methods. Additionally, it offers valuable insights for market participants and consumers to select optimal varieties and harvest times based on their specific needs.
In Vitro Evaluation of Probiotic Properties and Anti-Pathogenic Effects of Lactobacillus and Bifidobacterium Strains as Potential Probiotics
Authors: Lee Jaekoo , Jo Jaehyun , Wan Jungho , Seo Hanseul , Han Seung-Won , Shin Yoon-Jung , Kim Dong-Hyun
Published: July 2024

Probiotics restore gut microbial balance, thereby providing health-promoting effects to the host. They have long been suggested for managing intestinal disorders caused by pathogens and for improving gut health. This study evaluated the probiotic properties and anti-pathogenic effects of specific probiotic strains against the intestinal pathogens Staphylococcus aureus and Escherichia coli. The tested strains—Lactiplantibacillus plantarum LC27, Limosilactobacillus reuteri NK33, Lacticaseibacillus rhamnosus NK210, Bifidobacterium longum NK46, and Bifidobacterium bifidum NK175—were able to survive harsh conditions simulating gastric and intestinal fluids. These strains exhibited good auto-aggregation abilities (41.8–92.3%) and ideal hydrophobicity (30.9–85.6% and 38.3–96.1% for xylene and chloroform, respectively), along with the ability to co-aggregate with S. aureus (40.6–68.2%) and E. coli (38.6–75.2%), indicating significant adhesion levels to Caco-2 cells. Furthermore, these strains’ cell-free supernatants (CFSs) demonstrated antimicrobial and antibiofilm activity against S. aureus and E. coli. Additionally, these strains inhibited gas production by E. coli through fermentative activity. These findings suggest that the strains tested in this study have potential as novel probiotics to enhance gut health.
Plant-Based Alternatives to Mold-Ripened Cheeses as an Innovation among Dairy Analogues
Authors: Fabiszewska Agata , Wierzchowska Katarzyna , Dębkowska Ilona , Śliczniak Weronika , Ziółkowska Magdalena , Jasińska Karina , Kobus Joanna , Nowak Dorota , Zieniuk Bartłomiej
Published: July 2024

There is a growing demand for vegan products and plant-based food when dealing with the impact of livestock on the climate crisis. The aim of this study was to develop a formulation for a plant-based analogue of mold-ripened cheese. Were investigated the following plant materials: cashews, pistachios, soy flour, chickpea flour, pea protein, pumpkin protein, hemp protein, and spirulina powder. Plant matrices were fermented with lactic acid bacteria (LAB) starter cultures and cheese starter cultures of mold species Geotrichum candidum and Penicillium camemberti. All microorganisms’ growth were tested in a vegan-type culture medium. Calcium supplementation was applied and followed by an in-depth analysis of the elemental composition of selected analogues with inductively coupled plasma optical emission spectroscopy. The physicochemical and organoleptic analyses of plant-based alternatives of Camembert were conducted. This is the first paper describing novel formulations for plant-based alternatives for Camembert cheese prepared with techniques mimicking the original milk product.
Numerical Performance of the Fractional Direct Spreading Cholera Disease Model: An Artificial Neural Network Approach
Authors: Malik Saadia
Published: July 2024

The current investigation examines the numerical performance of the fractional-order endemic disease model based on the direct spreading of cholera by applying the neuro-computing Bayesian regularization (BR) neural network process. The purpose is to present the numerical solutions of the fractional-order model, which provides more precise solutions as compared to the integer-order one. Real values based on the parameters can be obtained and one can achieve better results by utilizing these values. The mathematical form of the fractional direct spreading cholera disease is categorized as susceptible, infected, treatment, and recovered, which represents a nonlinear model. The construction of the dataset is performed through the implicit Runge–Kutta method, which is used to lessen the mean square error by taking 74% of the data for training, while 8% is used for both validation and testing. Twenty-two neurons and the log-sigmoid fitness function in the hidden layer are used in the stochastic neural network process. The optimization of BR is performed in order to solve the direct spreading cholera disease problem. The accuracy of the stochastic process is authenticated through the valuation of the outputs, whereas the negligible calculated absolute error values demonstrate the approach’s correctness. Furthermore, the statistical operator performance establishes the reliability of the proposed scheme.
FLRNN-FGA: Fractional-Order Lipschitz Recurrent Neural Network with Frequency-Domain Gated Attention Mechanism for Time Series Forecasting
Authors: Zhao Chunna , Ye Junjie , Zhu Zelong , Huang Yaqun
Published: July 2024

Time series forecasting has played an important role in different industries, including economics, energy, weather, and healthcare. RNN-based methods have shown promising potential due to their strong ability to model the interaction of time and variables. However, they are prone to gradient issues like gradient explosion and vanishing gradients. And the prediction accuracy is not high. To address the above issues, this paper proposes a Fractional-order Lipschitz Recurrent Neural Network with a Frequency-domain Gated Attention mechanism (FLRNN-FGA). There are three major components: the Fractional-order Lipschitz Recurrent Neural Network (FLRNN), frequency module, and gated attention mechanism. In the FLRNN, fractional-order integration is employed to describe the dynamic systems accurately. It can capture long-term dependencies and improve prediction accuracy. Lipschitz weight matrices are applied to alleviate the gradient issues. In the frequency module, temporal data are transformed into the frequency domain by Fourier transform. Frequency domain processing can reduce the computational complexity of the model. In the gated attention mechanism, the gated structure can regulate attention information transmission to reduce the number of model parameters. Extensive experimental results on five real-world benchmark datasets demonstrate the effectiveness of FLRNN-FGA compared with the state-of-the-art methods.
A Stable Forward Modeling Approach in Heterogeneous Attenuating Media Using Reapplied Hilbert Transform
Authors: Deng Songmei , Shi Shaolin , Liu Hongwei
Published: July 2024

In the field of geological exploration and wave propagation theory, particularly in heterogeneous attenuating media, the stability of numerical simulations is a significant challenge for implementing effective attenuation compensation strategies. Consequently, the development and optimization of algorithms and techniques that can mitigate these numerical instabilities are critical for ensuring the accuracy and practicality of attenuation compensation methods. This is essential to reveal subsurface structure information accurately and enhance the reliability of geological interpretation. We present a method for stable forward modeling in strongly attenuating media by reapplying the Hilbert transform to eliminate increasing negative frequency components. We derived and validated new constant-Q wave equation (CWE) formulations and a stable solving method. Our study reveals that the original CWE equations, when utilizing the analytic signal, regenerate and amplify negative frequencies, leading to instability. Implementing our method maintains high accuracy between analytical and numerical solutions. The application of our approach to the Chimney Model, compared with results from the acoustic wave equation, confirms the reliability and effectiveness of the proposed equations and method.
Applying a Primary Health Care Approach to Closing the Human Resource for Health Gaps for Immunization
Authors: Olayinka Folake , O’Connell Thomas S. , Morgan Christopher , Monzon Maria Fernanda , Oshin Tokunbo , Tampe Tova , Reed Alexandra , Cometto Giorgio , Clarke Adolphus Trokon , Kazi Muhammad Ahmad , Shearer Jessica C.
Published: July 2024

This perspective is focused on the evidence on human resources for health (HRH) solutions for immunization, as a part of a primary health care (PHC) approach.. In the wake of the COVID-19 pandemic and 50 years since the Expanded Program on Immunization (EPI) clocks 50 years since its inception. was initiated, evidence and experience demonstrate the significant HRH gaps in many countries and globally, and how countries are seeking innovative ways of closing them with limited resources. The aim of this perspective article is to highlight the growing gap between the needs and the realities related to health workforce for PHC, including immunization, and to call for increasing the visibility of HRH within global and national immunization agendas. This perspective highlights key guidelines and tools to improve HRH, such as integrating immunization and primary health care, addressing the mental health needs of the health workforce, addressing gender-related issues, rationalizing the roles and composition of PHC workforce teams, and meeting the surge requirements related to health emergencies.
Exploring the Impact of Knowledge about the Human Papillomavirus and Its Vaccine on Perceived Benefits and Barriers to Human Papillomavirus Vaccination among Adults in the Western Region of Saudi Arabia
Authors: Alsulami Fahad T.
Published: July 2024

Objective: To evaluate knowledge about HPV and its vaccine, additionally, to examine the effect of knowledge about HPV and its vaccine on perceived benefits and barriers to HPV vaccination among individuals in the western region of Saudi Arabia. Methods: A cross-sectional design was employed in the western region of Saudi Arabia through a self-administered web-based survey. The survey assessed knowledge, perceived benefits, and perceived barriers to HPV vaccination. Results: A total of 1149 eligible participants completed the survey. Participants exhibited limited knowledge of HPV and its vaccine, with an average total score of 4.76 out of 15. Over 80% of participants were unaware that HPV may not show symptoms, cannot lead to HIV, and is not treatable with antibiotics. Over half were unaware that HPV can cause cervical cancer, oral cancer, or genital warts. Unmarried and graduate-educated participants demonstrated greater knowledge. Perceived benefits were positively associated with knowledge levels, while perceived barriers were negatively associated with knowledge levels after controlling for other variables. Conclusions: This study highlights the need for education and healthcare efforts to raise knowledge about HPV and its vaccine in the western region of Saudi Arabia. Also, this study indicated that enhanced knowledge boosts positive attitudes towards HPV vaccination, while reducing perceived barriers, thereby increasing vaccination rates.
Effect of Online Clinic on Follow-Up Compliance and Survival Outcomes in Nasopharyngeal Carcinoma: Real-World Cohort Study from Endemic Area
Authors: Chen Siqi , Feng Chenyang , Sun Peng , Zhang Jingrong , Liang Hu
Published: July 2024

Nasopharyngeal carcinoma (NPC) requires regular follow-up to detect recurrence as early as possible. However, many patients are unable to regularly follow up due to the inconvenience of the conventional approach. Therefore, this study was designed to investigate the impact of the online clinic on follow-up compliance and prognosis in NPC patients. Patients who were first diagnosed with NPC between April 2019 and November 2019 were enrolled. Good follow-up compliance was defined as having at least one follow-up visit every 6 months within 2 years after treatment completion. Sensitivity analyses were performed using a propensity score matching model. A total of 539 (42%) patients used online follow-up while 731 (58%) used traditional follow-up. The median age of patients in the online cohort was lower than that in the traditional cohort (44 vs. 47, p < 0.001). Compared with the traditional cohort, the online cohort had significantly better follow-up compliance (57.3% vs. 17.1%, p < 0.001) and a higher 2-year PFS rate (98.1% vs. 94.4%, p = 0.003). Survival analysis showed that online follow-up was an independent factor for better survival prognosis (HR 0.39, 95%CI 0.20–0.74, p = 0.004). Sensitivity analysis further confirmed these results. Our study found that the online clinic increased follow-up compliance and improved prognosis in NPC patients.
The Role of Nursing in the Management of Chemotherapy Extravasation: A Systematic Review Regarding Public Health
Authors: Antúnez-Blancat Antonio , Gago-Valiente Francisco-Javier , García-Iglesias Juan-Jesús , Merino-Navarro Dolores
Published: July 2024

The scientific literature was reviewed with the aim of analysing the state of the art on the role of nursing in the management of chemotherapy extravasation, recognising the possible risk factors and identifying effective training programmes for nurses. WOS, Scopus, and PubMed databases were used to perform the searches. Papers that met the inclusion criteria and that had been published in the last 9 years were selected. The Effective Public Health Practice Project (EPHPP) instrument was applied to the selected studies. In addition, this research was registered in the International Prospective Register of Systematic Reviews (PROSPERO) (ID: 512480). Out of the 23 initially selected articles, a total of 9 articles were eventually included, since they met the eligibility criteria that were established after a more exhaustive analysis, which included reading their abstracts and full texts. The results show that the management of chemotherapy extravasation is closely related to factors that largely depend on the nursing staff. Among the most relevant findings are factors including the identification of the nursing role in the management of extravasation due to chemotherapy; risk factors; and effective training programmes for nursing. Nurses play a crucial role throughout the entire process of treatment, prevention, and health education in chemotherapy treatment. Training programmes for nurses are fundamental, as they increase their professional competence and improve the safety of the patient. Adequate knowledge of chemotherapy treatment and the risk factors of extravasation are basic elements for the prevention of this type of injury, as well as for the improvement of the quality of life of patients under this kind of intravenous therapy.
How Do CMIP6 HighResMIP Models Perform in Simulating Precipitation Extremes over East Africa?
Authors: Babaousmail Hassen , Ayugi Brian Odhiambo , Lim Kam Sian Kenny Thiam Choy , Randriatsara Herijaona Hani-Roge Hundilida , Mumo Richard
Published: July 2024

This work assesses the ability of nine Coupled Model Intercomparison Project phase 6 (CMIP6) High-Resolution Model Intercomparison Project (HighResMIP) models and their ensemble mean to reproduce precipitation extremes over East Africa for the period 1995–2014. The model datasets are assessed against two observation datasets: CHIRPS and GPCC. The precipitation indices considered are CDD, CWD, R1mm, R10mm, R20mm, SDII, R95p, PRCPTOT, and Rx1day. The overall results show that HighResMIP models reproduce annual variability fairly well; however, certain consistent biases are found across HighResMIP models, which tend to overestimate CWD and R1mm and underestimate CDD and SDII. The HighResMIP models are ranked using the Taylor diagram and Taylor Skill Score. The results show that the models reasonably simulate indices, such as PRCPTOT, R1mm, R10mm, R95p, and CDD; however, the simulation of SDII CWD, SDII, and R20mm is generally poor. They are CMCC-CM2-VHR4, HadGEM31-MM, HadGEM3-GC31-HM, and GFDL-CM4. Conversely, MPI-ESM1-2-XR and MPI-ESM1-2-HR show remarkable performance in simulating the OND season while underestimating the MAM season. A comparative analysis demonstrates that the MME has better accuracy than the individual models in the simulation of the various indices. The findings of the present study are important to establish the ability of HighResMIP data to reproduce extreme precipitation events over East Africa and, thus, help in decision making. However, caution should be exercised in the interpretation of the findings based on individual CMIP6 models over East Africa given the overall weakness observed in reproducing mean precipitation.
A GIS-Based Framework for Synthesizing City-Scale Long-Term Individual-Level Spatial–Temporal Mobility
Authors: Yao Yao , Jiang Yinghong , Yu Qing , Yuan Jian , Li Jiaxing , Xu Jian , Liu Siyuan , Zhang Haoran
Published: July 2024

Human mobility data are crucial for transportation planning and congestion management. However, challenges persist in accessing and using raw mobility data due to privacy concerns and data quality issues such as redundancy, missing values, and noise. This research introduces an innovative GIS-based framework for creating individual-level long-term spatio-temporal mobility data at a city scale. The methodology decomposes and represents individual mobility by identifying key locations where activities take place and life patterns that describe transitions between these locations. Then, we present methods for extracting, representing, and generating key locations and life patterns from large-scale human mobility data. Using long-term mobility data from Shanghai, we extract life patterns and key locations and successfully generate the mobility of 30,000 virtual users over seven days in Shanghai. The high correlation (R² = 0.905) indicates a strong similarity between the generated data and ground-truth data. By testing the combination of key locations and life patterns from different areas, the model demonstrates strong transferability within and across cities, with relatively low RMSE values across all scenarios, the highest being around 0.04. By testing the representativeness of the generated mobility data, we find that using only about 0.25% of the generated individuals’ mobility is sufficient to represent the dynamic changes of the entire urban population on a daily and hourly resolution. The proposed methodology offers a novel tool for generating long-term spatiotemporal mobility patterns at the individual level, thereby avoiding the privacy concerns associated with releasing real data. This approach supports the broad application of individual mobility data in urban planning, traffic management, and other related fields.
The Influence of Perceptions of the Park Environment on the Health of the Elderly: The Mediating Role of Social Interaction
Authors: Xiong Xiuhai , Wang Jingjing , Wu Hao , Peng Zhenghong
Published: July 2024

The aging population has brought increased attention to the urgent need to address social isolation and health risks among the elderly. While previous research has established the positive effects of parks in promoting social interaction and health among older adults, further investigation is required to understand the complex relationships between perceptions of the park environment, social interaction, and elderly health. In this study, structural equation modeling (SEM) was employed to examine these relationships, using nine parks in Wuhan as a case study. The findings indicate that social interaction serves as a complete mediator between perceptions of the park environment and elderly health (path coefficients: park environment on social interaction = 0.45, social interaction on health = 0.46, and indirect effect = 0.182). Furthermore, the results of the multi-group SEM analysis revealed that the mediating effect was moderated by the pattern of social interaction (the difference test: the friend companionship group vs. the family companionship group (Z = 1.965 > 1.96)). Notably, family companionship had a significantly stronger positive impact on the health of older adults compared to friend companionship. These findings contribute to our understanding of the mechanisms through which urban parks support the physical and mental well-being of the elderly and provide a scientific foundation for optimizing urban park environments.
Semi-Supervised Learning for Multi-View Data Classification and Visualization
Authors: Ziraki Najmeh , Bosaghzadeh Alireza , Dornaika Fadi
Published: July 2024

Data visualization has several advantages, such as representing vast amounts of data and visually demonstrating patterns within it. Manifold learning methods help us estimate lower-dimensional representations of data, thereby enabling more effective visualizations. In data analysis, relying on a single view can often lead to misleading conclusions due to its limited perspective. Hence, leveraging multiple views simultaneously and interactively can mitigate this risk and enhance performance by exploiting diverse information sources. Additionally, incorporating different views concurrently during the graph construction process using interactive visualization approach has improved overall performance. In this paper, we introduce a novel algorithm for joint consistent graph construction and label estimation. Our method simultaneously constructs a unified graph and predicts the labels of unlabeled samples. Furthermore, the proposed approach estimates a projection matrix that enables the prediction of labels for unseen samples. Moreover, it incorporates the information in the label space to further enhance the accuracy. In addition, it merges the information in different views along with the labels to construct a consensus graph. Experimental results conducted on various image databases demonstrate the superiority of our fusion approach compared to using a single view or other fusion algorithms. This highlights the effectiveness of leveraging multiple views and simultaneously constructing a unified graph for improved performance in data classification and visualization tasks in semi-supervised contexts.
Examining the Roles, Sentiments, and Discourse of European Interest Groups in the Ukrainian War through X (Twitter)
Authors: Gorostiza-Cerviño Aritz , Serna-Ortega Álvaro , Moreno-Cabanillas Andrea , Almansa-Martínez Ana , Castillo-Esparcia Antonio
Published: July 2024

This research focuses on examining the responses of interest groups listed in the European Transparency Register to the ongoing Russia–Ukraine war. Its aim is to investigate the nuanced reactions of 2579 commercial and business associations and 2957 companies and groups to the recent conflict, as expressed through their X (Twitter) activities. Utilizing advanced text mining and NLP and LDA techniques, this study conducts a comprehensive analysis encompassing language dynamics, thematic shifts, sentiment variations, and activity levels exhibited by these entities both before and after the outbreak of the war. The results obtained reflect a gradual decrease in negative emotions regarding the conflict over time. Likewise, multiple forms of outside lobbying are identified in the communication strategies of interest groups. All in all, this empirical inquiry into how interest groups adapt their messaging in response to complex geopolitical events holds the potential to provide invaluable insights into the multifaceted role of lobbying in shapi ng public policies.
Development of an Assessment and Management Framework for Sustainable Construction Projects in Jordan by Incorporating the Sustainable Development Goals
Authors: Alawneh Rami , Jannoud Ismael , Rabayah Hesham , Imam Rana , Almasaeid Hatem
Published: July 2024

Countries worldwide have implemented several strategies to achieve the Sustainable Development Goals (SDGs), to which sustainable construction projects can contribute significantly. However, an integrated assessment and management method for sustainable construction projects is needed to improve the contributions of such projects to achieving the SDGs. Hence, this research aims to develop an innovative framework that integrates contributions to achieving the SDGs within the assessment and management of sustainable construction projects. We reviewed previous research and used the Delphi method to identify assessment indicators and construct a framework. Next, two new indices were constructed: the Sustainable Construction Project Indicator Contributions Index (SCPICI) and the Integrated Sustainable Construction Project Contributions Index (ISCPCI). Lastly, a focus group discussion was conducted. According to the SCPICI, the top five indicators are energy-efficient management (27.58), the use of renewable energy (27.51), measurements of energy savings during the construction and operation phases (26.64), water savings during construction and operation phases (26.18), and water recycling (25.46). The research findings indicate that sustainable construction projects substantially contribute to achieving SDGs 3, 6, 7, 8, 9, 11, 12, 13, and 15. Policymakers and other stakeholders in the construction sector could use the proposed framework to assess and manage sustainable construction projects. Moreover, researchers worldwide could use the proposed methods to develop new frameworks in other countries.
Development Modeling of Phormia regina (Diptera: Calliphoridae)
Authors: Roe Amanda , Wells Jeffrey D. , Higley Leon G.
Published: July 2024

A series of experiments were conducted on Phormia regina, a forensically important blow fly species, that met the requirements needed to create statistically valid development models. Experiments were conducted over 11 temperatures (7.5 to 32.5 °C, at 2.5 °C intervals) with a 16:8 L:D cycle. Experimental units contained 20 eggs, 10 g of beef liver, and 2.5 cm of sand. Each life stage (egg to adult) had five sampling times. Each sampling time was replicated four times for a total of 20 measurements per life stage. For each sampling time, the cups were pulled from the chambers, and the stage of each maggot was documented morphologically through posterior spiracular slits and cephalopharyngeal development. Data were normally distributed with the later larval (L3m) and pupation stages having the most variation within and transitioning between stages, particularly between 12.5 °C and 20.0 °C. The biological minimum was between 10.0 °C and 12.5 °C, with little egg development and no egg emergence at 7.5 °C and no maturation past L1 at 10.0 °C. Phormia regina did not display increased mortality associated with the upper temperature of 32.5 °C. The development data generated illustrate the advantages of large data sets in modeling blow fly development and the need for curvilinear models in describing development at environmental temperatures near the biological minima and maxima.
Cascaded Aggregation Convolution Network for Salient Grain Pests Detection
Authors: Yu Junwei , Chen Shihao , Liu Nan , Zhai Fupin , Pan Quan
Published: July 2024

Pest infestation poses significant threats to grain storage due to pests’ behaviors of feeding, respiration, excretion, and reproduction. Efficient pest detection and control are essential to mitigate these risks. However, accurate detection of small grain pests remains challenging due to their small size, high variability, low contrast, and cluttered background. Salient pest detection focuses on the visual features that stand out, improving the accuracy of pest identification in complex environments. Drawing inspiration from the rapid pest recognition abilities of humans and birds, we propose a novel Cascaded Aggregation Convolution Network (CACNet) for pest detection and control in stored grain. Our approach aims to improve detection accuracy by employing a reverse cascade feature aggregation network that imitates the visual attention mechanism in humans when observing and focusing on objects of interest. The CACNet uses VGG16 as the backbone network and incorporates two key operations, namely feature enhancement and feature aggregation. These operations merge the high-level semantic information and low-level positional information of salient objects, enabling accurate segmentation of small-scale grain pests. We have curated the GrainPest dataset, comprising 500 images showcasing zero to five or more pests in grains. Leveraging this dataset and the MSRA-B dataset, we validated our method’s efficacy, achieving a structure S-measure of 91.9%, and 90.9%, and a weighted F-measure of 76.4%, and 91.0%, respectively. Our approach significantly surpasses the traditional saliency detection methods and other state-of-the-art salient object detection models based on deep learning. This technology shows great potential for pest detection and assessing the severity of pest infestation based on pest density in grain storage facilities. It also holds promise for the prevention and control of pests in agriculture and forestry.
Snus Use in Adolescents: A Threat to Oral Health
Authors: Németh Orsolya , Sipos Levente , Mátrai Péter , Szathmári-Mészáros Noémi , Iványi Dóra , Simon Fanni , Kivovics Márton , Pénzes Dorottya , Mijiritsky Eitan
Published: July 2024

Background: Snus consumption is increasingly popular, mainly among the youth, due to the promotion of the tobacco industry and the lack of knowledge regarding its adverse effects. Even though some of its systemic complications are common knowledge, the oral consequences are rarely known. Aim: Therefore, the objective of this study is to evaluate the oral health effects of snus consumption among a highly exposed group of adolescent athletes. Design: Participants received an interactive presentation, followed by interviews and dental screenings by young doctors to establish trust. They were categorized into groups based on the frequency of snus usage. The oral hygiene habits and status, snus consumption habits, and awareness about its adverse effects were evaluated. Results: Statistically significantly (p < 0.05), more regular snus users experience gum bleeding while tooth brushing than nonusers (60% and 37%, p = 0.004). Snus consumption and poor oral hygiene have a cumulative effect on oral health. Some young athletes experience ulcerous oral mucosal lesions coinciding with snus placement. Nonusers exhibit greater awareness of the adverse effects of snus than regular users (27% and 49%). Conclusions: Regular snus use negatively affects oral health, especially the gums. Early education is of the utmost importance in preventing snus usage by raising awareness.
Translation of Multidimensional Health Locus of Control Scales, Form C in Patients with Headache
Authors: Bartsch Luise , Fiebig Nadja , Strauß Sebastian , Angermaier Anselm , Smith Craig A. , Reuter Uwe , Fleischmann Robert
Published: July 2024

The MHLC-C is a condition-specific instrument measuring the internal and external loci of control beliefs, adaptable to various health conditions. Translated into Swedish and Chinese, this study aims to translate the MHLC-C into German using the FACID-Method. The English version is validated and reliable; the German version requires these validation steps.
Diagnostic Errors in Obstetric Morbidity and Mortality: Methods for and Challenges in Seeking Diagnostic Excellence
Authors: Krenitsky Nicole M. , Perez-Urbano India , Goffman Dena
Published: July 2024

Pregnancy-related morbidity and mortality remain high across the United States, with the majority of deaths being deemed preventable. Misdiagnosis and delay in diagnosis are thought to be significant contributors to preventable harm. These diagnostic errors in obstetrics are understudied. Presented here are five selected research methods to ascertain the rates of and harm associated with diagnostic errors and the pros and cons of each. These methodologies include clinicopathologic autopsy studies, retrospective chart reviews based on clinical criteria, obstetric simulations, pregnancy-related harm case reviews, and malpractice and administrative claim database research. We then present a framework for a future study of diagnostic errors and the pursuit of diagnostic excellence in obstetrics: (1) defining and capturing diagnostic errors, (2) targeting bias in diagnostic processes, (3) implementing and monitoring safety bundles, (4) leveraging electronic health record triggers for case reviews, (5) improving diagnostic skills via simulation training, and (6) publishing error rates and reduction strategies. Evaluation of the effectiveness of this framework to ascertain diagnostic error rates, as well as its impact on patient outcomes, is required.
Caregivers of Children with Autism Spectrum Disorders: The Role of Guilt Sensitivity and Support
Authors: Rizzo Amelia , Sorrenti Luana , Commendatore Martina , Mautone Aurora , Caparello Concettina , Maggio Maria Grazia , Özaslan Ahmet , Karaman Hakan , Yıldırım Murat , Filippello Pina
Published: July 2024

Background/Objectives: Burden Syndrome, also known as Caregiver Syndrome, particularly affects those who serve in the role of informal caregiver in the presence of family members with conditions. The ABCX dual model examines the impact on the caregiver of the diagnosis of autism spectrum disorder (ASD) on the family. This model considers the severity of the stressor (A), the additional demands of life stress (aA), the family’s internal resources (B), the family’s external resources (bB), the family’s assessment of the situation (C), coping strategies (cC), and outcome (X). The purpose of the present study is to investigate the relationships between resilience, guilt, and burden of care in caregivers of children with ASD. Methods: Various assessment instruments were used, including the “Caregiver Burden Inventory” to measure burden, the “Brief Resilience Scale” to assess resilience, the “Guilt Sensitivity Questionnaire” to examine guilt sensitivity, and the “DA.L.I.A.” to collect information on parent and child characteristics. A total of 80 parents/caregivers participated in the research, including 53 women (Age M = 41.72; SD = 7.8) and 27 men (Age M = 43.35; SD = 6.29). Results: The findings indicate that individuals’ resilience to stressful events correlates negatively with burden, a developmental subtype. However, guilt seems not to play a significant role in the overall perception of burden. In contrast, it was found that the use of informal supports is associated with higher levels of guilt and emotional burden, whereas the use of formal supports is correlated with higher emotional burden, but not higher perceptions of guilt. Conclusions: This study provides important information about the support needed by caregivers and suggests how to address emotional burdens to prevent burnout and support families with children with ASD.
Exome Sequence Analysis to Characterize Undiagnosed Family Segregating Motor Impairment and Dystonia
Authors: Almatrafi Ahmad M. , Alayoubi Abdulfatah M. , Alluqmani Majed , Hashmi Jamil A. , Basit Sulman
Published: July 2024

Background: Hypermanganesemia with dystonia 1 (HMNDYT1) is a rare genetic disorder characterized by elevated blood manganese levels. This condition is associated with polycythemia, motor neurodegeneration with extrapyramidal features, and hepatic dysfunction, which can progress to cirrhosis in some patients. Materials and Methods: In this study, a consanguineous Saudi family with two affected individuals exhibiting symptoms of severe motor impairment, spastic paraparesis, postural instability, and dystonia was studied. Clinical and radiographic evaluations were conducted on the affected individuals. Whole exome sequencing (WES) was performed to diagnose the disease and to determine the causative variant underlying the phenotype. Moreover, Sanger sequencing was used for validation and segregation analysis of the identified variant. Bioinformatics tools were utilized to predict the pathogenicity of candidate variants based on ACMG criteria. Results: Exome sequencing detected a recurrent homozygous missense variant (c.266T>C; p.L89P) in exon 1 of the SLC30A10 gene. Sanger sequencing was employed to validate the segregation of the discovered variant in all available family members. Bioinformatics tools predicted that the variant is potentially pathogenic. Moreover, conservation analysis showed that the variant is highly conserved in vertebrates. Conclusions: This study shows that exome sequencing is instrumental in diagnosing undiagnosed neurodevelopmental disorders. Moreover, this study expands the mutation spectrum of SLC30A10 in distinct populations.
Rehabilitation Oculomotor Screening Evaluation (ROSE)—A Proof-of-Principle Study for Acquired Brain Injuries
Authors: Li Tina Yu-Zhou , Madge Kelsey , Richard Francesca , Sarpal Preeti , Dannenbaum Elizabeth , Fung Joyce
Published: July 2024

Background/Objectives: Acquired brain injury (ABI) is a major cause of global disability. Many ABI patients exhibit oculomotor dysfunctions that impact their daily life and rehabilitation outcomes. Current clinical tools for oculomotor function (OMF) assessment are limited in their usability. In this proof-of-principle study, we aimed to develop an efficient tool for OMF screening and to assess the feasibility, acceptability, and relevance in a small sample of ABI and control participants. Methods: We created the Rehabilitation Oculomotor Screening Evaluation (ROSE) by reviewing existing OMF assessments. ROSE was pilot-tested on ABI patients (n = 10) and age-matched controls (n = 10). Data regarding the characteristics of the assessment, such as the duration, level of participant comprehension, and participant experience were also collected. Results: ROSE takes <20 min (x¯ = 12.5), is easy to complete (agreement x¯ = 4.6/5), and is well-accepted (x¯ = 4.8/5). Patients scored higher in all subtests and total score (x¯ = 34.8 for ABI vs. 8.9 for controls). Most subtests did not provoke any symptoms, especially for controls. There were no significant between-group differences in symptom provocation. This proof-of-principle study shows that ROSE is feasible, acceptable, and relevant for adult ABI patients. Conclusions: ROSE needs further evaluation for reliability testing and validation in larger samples and diverse neurological conditions. Establishing norms for various ages, sexes, and populations should be considered for the deployment of ROSE as an OMF clinical tool.
Microbiological and Salivary Biomarkers Successfully Predict Site-Specific and Whole-Mouth Outcomes of Nonsurgical Periodontal Treatment
Authors: Al-Sharqi Ali JB , Abdulkareem Ali
Published: July 2024

Background/Objectives: Nonsurgical periodontal treatment (NSPT) is the gold-standard technique for treating periodontitis. However, an individual’s susceptibility or the inadequate removal of subgingival biofilms could lead to unfavorable responses to NSPT. This study aimed to assess the potential of salivary and microbiological biomarkers in predicting the site-specific and whole-mouth outcomes of NSPT. Methods: A total of 68 periodontitis patients exhibiting 1111 periodontal pockets 4 to 6 mm in depth completed the active phase of periodontal treatment. Clinical periodontal parameters, saliva, and subgingival biofilm samples were collected from each patient at baseline and three months after NSPT. A quantitative PCR assay was used to detect the presence of Fusobaterium nucleatum and Porphyromonas gingivalis in the biofilm samples. Salivary biomarkers including matrix metalloproteinase (MMP)-9, glutathione S-transferase (GST), and Annexin-1 were assayed both qualitatively (Western blot analysis) and quantitively (ELISA). Results: NSPT yielded significant improvements in all clinical parameters, including a reduction in bacterial load and decreased levels of MMP-9 together with increased concentrations of GST and Annexin-1. The binary logistic regression suggested that the overall accuracy of P. gingivalis identification, probing pocket depth, and interproximal sites was 71.1% in predicting successful site-specific outcomes. The salivary biomarker model yielded an overall accuracy of 79.4% in predicting whole-mouth outcomes following NSPT. Conclusions: At baseline, the presence of shallow periodontal pockets at interdental locations with a lower abundance of P. gingivalis is predictive of a favorable response to NSPT at the site level. Decreased salivary MMP-9 associated with increased GST and Annexin-1 levels can predict successful whole-mouth outcomes following NSPT.
Outcomes of Acute Kidney Injury among Hospitalized Patients with Infective Endocarditis: A National Inpatient Sample Analysis
Authors: Chandramohan Deepak , Lapsiwala Boney , Simhadri Prathap Kumar , Patel Devansh , Singh Prabhat , Avula Sreekant , Jena Nihar , Chandramohan Divya
Published: July 2024

Background/Objectives: Patients with infective endocarditis (IE) are more susceptible to acute kidney injury (AKI). The presence of AKI increases in-hospital complications in these patients. Methods: The 2016–2020 National Inpatient Sample (NIS) database consisting of adult admissions with IE and AKI was utilized. The primary outcome was all-cause inpatient mortality. Secondary outcomes included fluid and electrolyte disorders, stroke, septic arterial embolism, septic shock, cardiogenic shock, valve surgery, vasopressor support, mechanical ventilation, length of stay (LOS), and total hospital charges. Results: Out of a total of 63,725 adult admissions with IE, 16,295 (25.5%) admissions had AKI. Patients with AKI were more likely to be males (63% vs. 57.6%, p < 0.001) and older (55.8 vs. 50.4, p < 0.001). A higher proportion of these patients were admitted to large hospitals (60.6 vs. 55.3%, p < 0.001) and urban teaching hospitals (81.9 vs. 75%, p < 0.001). Patients with AKI had higher LOS (17 ± 16.1 vs. 11.32 ± 11.7, p < 0.001) and hospital charges (USD 239,046.8 ± 303,977.3 vs. USD 124,857.6 ± 192,883.5, p < 0.001). Multivariable analysis showed higher odds of all-cause inpatient mortality (aOR: 2.22, 95% CI: 1.81–2.73, p < 0.001). They also had higher risk for fluid and electrolyte disorder (aOR: 2.31, 95% CI: 2.10–2.53, p < 0.001), septic arterial embolism (aOR: 1.61, 95% CI: 1.42–1.84, p < 0.001), septic shock (aOR: 3.78, 95% CI: 2.97–4.82, p < 0.001), cardiogenic shock (OR: 3.37, 95% CI: 2.65–4.28, p < 0.001), valve surgery (aOR: 1.52, 95% CI: 1.35–1.71, p < 0.001), vasopressor requirement (aOR: 1.99, 95% CI: 1.52–2.60, p < 0.001), and mechanical ventilation (aOR: 2.75, 95% CI: 2.33–3.24, p < 0.001). The association with stroke was elevated but not statistically significant. Conclusions: This large retrospective analysis demonstrated that patients with AKI and infective endocarditis had increased mortality, adverse hospital outcomes, increased LOS, and hospital costs.