bluuebunny/crossref_metadata_2025 huggingface dataset:
A Unified Graph Formulation for Spatio-Temporal Wind Forecasting
Authors: Bentsen Lars Ødegaard , Warakagoda Narada Dilp , Stenbro Roy , Engelstad Paal
Published: October 2023

With the rapid adoption of wind energy globally, there is a need for accurate short-term forecasting systems to improve the reliability and integration of such energy resources on a large scale. While most spatio-temporal forecasting systems comprise distinct components to learn spatial and temporal dependencies separately, this paper argues for an approach to learning spatio-temporal information jointly. Many time series forecasting systems also require aligned input information and do not naturally facilitate irregular data. Research is therefore required to investigate methodologies for forecasting in the presence of missing or corrupt measurements. To help combat some of these challenges, this paper studied a unified graph formulation. With the unified formulation, a graph neural network (GNN) was used to extract spatial and temporal dependencies simultaneously, in a single update, while also naturally facilitating missing data. To evaluate the proposed unified approach, the study considered hour-ahead wind speed forecasting in the North Sea under different amounts of missing data. The framework was compared against traditional spatio-temporal architectures that used GNNs together with temporal long short-term memory (LSTM) and Transformer or Autoformer networks, along with the imputation of missing values. The proposed framework outperformed the traditional architectures, with absolute errors of around 0.73–0.90 m per second, when subject to 0–80% of missing input data. The unified graph approach was also better at predicting large changes in wind speed, with an additional 10-percentage-point improvement over the second-best model. Overall, this paper investigated a novel methodology for spatio-temporal wind speed forecasting and showed how the proposed unified graph formulation achieved competitive results compared to more traditional GNN-based architectures.
Leveraging Behavioral Correlation in Distribution System State Estimation for the Recognition of Critical System States
Authors: Buchta Eva , Duckheim Mathias , Metzger Michael , Stursberg Paul , Niessen Stefan
Published: October 2023

State estimation for distribution systems faces the challenge of dealing with limited real-time measurements and historical data. This work describes a Bayesian state estimation approach tailored for practical implementation in different data availability scenarios, especially when both real-time and historical data are scarce. The approach leverages statistical correlations of the state variables from a twofold origin: (1) from the physical coupling through the grid and (2) from similar behavioral patterns of customers. We show how these correlations can be parameterized, especially when no historical time series data are available, and that accounting for these correlations yields substantial accuracy gains for state estimation and for the recognition of critical system states, i.e., states with voltage or current limit violations. In a case study, the approach is tested in a realistic European-type, medium-voltage grid. The method accurately recognizes critical system states with an aggregated true positive rate of 98%. Compared to widely used approaches that do not consider these correlations, the number of undetected true critical cases can be reduced by a factor of up to 9. Particularly in the case where no historical smart meter time series data is available, the recognition accuracy of critical system states is nearly as high as with full smart meter coverage.
Application of a Model Based on Rough Set Theory (RST) for Estimating the Temperature of Brine from Vertical Ground Heat Exchangers (VGHE) Operated with a Heat Pump—A Case Study
Authors: Piotrowska-Woroniak Joanna , Szul Tomasz , Woroniak Grzegorz
Published: October 2023

This work presents the results of a study that used a model based on rough set theory (RST) to assess the brine temperature of vertical ground heat exchangers (VGHEs) to feed heat pumps (HP). The purpose of this research was to replace costly brine temperature measurements with a more efficient approach. The object of this study was a public utility building located in Poland in a temperate continental climate. The building is equipped with a heating system using a brine–water HP installation with a total capacity of 234.4 kW, where the lower heat source consists of 52 vertical ground probes with a total length of 5200 m. The research was conducted during the heating season of 2018/2019. Based on the data, the heat energy production was determined, and the efficiency of the system was assessed. To predict the brine temperature from the lower heat source, a model based on RST was applied, which allows for the analysis of general, uncertain, and imprecise data. Weather data, such as air temperature, solar radiation intensity, degree days of the heating season, and thermal energy consumption in the building, were used for the analysis. The constructed model was tested on a test dataset. This model achieved good results with a Mean Absolute Percentage Error (MAPE) of 12.2%, a Coefficient of Variation Root Mean Square Error (CV RMSE) of 14.76%, a Mean Bias Error (MBE) of −1.3%, and an R-squared (R2) value of 0.98, indicating its usefulness in estimating brine temperature. These studies suggest that the described method can be useful in other buildings with HP systems and may contribute to improving the efficiency and safety of these systems.
Suitable Analysis of Micro-Increased Capacity Model on Cold-End System of Nuclear Power Plant
Authors: Xi Xinming , An Shixiong , Xu Lei , Du Xiaoze , Wei Huimin , Sun Hongchen
Published: October 2023

The cold-end system of a nuclear power plant is a key complex node connecting the power generation system with the variable environmental conditions, and its operation, economy, and stability have become the main obstacles to further improving the performance of the first and second circuits. The current research on the interactions between the cold-end system and the thermal cycle of nuclear power mainly adopts the micropower model, while the existing condenser model does not take into account the influence of the turbine exhaust resistance and exhaust flow and other factors on the condenser vacuum change caused by the change in the circulating water flow rate and temperature in determining the optimal vacuum. This ignores the interactions between the equipment and the interconnections between the parameters, which results in the reduction of the model’s accuracy. This paper takes a nuclear power unit as an example, adopts the “constant flow calculation” method to calculate the heat balance of the two-loop thermal system of the nuclear power plant, and constructs an integrated simulation model of the reaction environment variables, the cold-end system, and the thermal cycle. Taking the circulating water temperature and flow rate as variables, the errors of the separate condenser model and the coupled model in circulating water parameter changes were obtained under the condition of satisfying the thermal system operation, and the circulating water temperature and flow rate change ranges applied by the separate condenser model were analyzed in order to reduce the amount of calculations when the unit power error was 1%. The results show that the circulating water temperature is 4 °C, the applicable range of the circulating water flow rate is 42 m3/s to the rated flow rate, the applicable range of the circulating water temperature is 20 °C, the applicable range of the circulating water flow rate is 32.12 m3/s to the rated flow rate, the applicable range of the circulating water temperature is 26 °C, the applicable range of the circulating water flow rate is 38.63 m3/s to the rated flow rate, the applicable range of the circulating water temperature is 30 °C, and the applicable range of the circulating water flow rate is 45 m3/s to the rated flow rate. At a circulating water temperature of 26 °C, the applicable range of the circulating water flow is between 38.63 m3/s and the rated flow; at a circulating water temperature of 30 °C, the applicable range of the circulating water flow is between 45.64 m3/s and the rated flow.
Using the Exact Equivalent π-Circuit Model for Representing Three-Phase Transmission Lines Directly in the Time Domain
Authors: Robles Balestero Juan Paulo , Leon Colqui Jaimis Sajid , Kurokawa Sérgio
Published: October 2023

This paper presents a novel three-phase transmission line model for electromagnetic transient simulations that are executed directly within the time domain. This model relies on distributed and frequency-dependent parameters, as well as employs modal transformation for its implementation. The single-phase model of the exact equivalent π-circuit is utilized for each propagation mode. This model combines discrete components, such as resistors, inductors, and capacitors, to accurately emulate the transmission line behavior via linear circuit elements. This model can be seamlessly integrated into various electrical circuit simulation software, thus allowing easy utilization and incorporating time-varying elements to analyze transmission lines. The JMarti model, which comes by default in the Alternative Transient Program, and the numerical Laplace transform method implemented in MATLAB were utilized to validate the proposed solution across various scenarios. An advantage of this model is its independence from the prior calculation of travel time and its exemption from convolutions, inverse Laplace transforms, and Fourier transforms, thus streamlining the simulation process.
Advanced Robotic System with Keypoint Extraction and YOLOv5 Object Detection Algorithm for Precise Livestock Monitoring
Authors: Natesan Balaji , Liu Chuan-Ming , Ta Van-Dai , Liao Raymond
Published: October 2023

Molting is an essential operation in the life of every lobster, and observing this process will help us to assist lobsters in their recovery. However, traditional observation consumes a significant amount of time and labor. This study aims to develop an autonomous AI-based robot monitoring system to detect molt. In this study, we used an optimized Yolov5s algorithm and DeepLabCut tool to analyze and detect all six molting phases such as S1 (normal), S2 (stress), S3–S5 (molt), and S6 (exoskeleton). We constructed the proposed optimized Yolov5s algorithm to analyze the frequency of posture change between S1 (normal) and S2 (stress). During this stage, if the lobster stays stressed for 80% of the past 6 h, the system will assign the keypoint from the DeepLabCut tool to the lobster hip. The process primarily concentrates on the S3–S5 stage to identify the variation in the hatching spot. At the end of this process, the system will re-import the optimized Yolov5s to detect the presence of an independent shell, S6, inside the tank. The optimized Yolov5s embedded a Convolutional Block Attention Module into the backbone network to improve the feature extraction capability of the model, which has been evaluated by evaluation metrics, comparison studies, and IoU comparisons between Yolo’s to understand the network’s performance. Additionally, we conducted experiments to measure the accuracy of the DeepLabCut Tool’s detections.
Use of Space-Time Cube Model and Spatiotemporal Hot Spot Analyses in Fisheries—A Case Study of Tuna Purse Seine
Authors: Xu Ran , Yang Xiaoming , Tian Siquan
Published: October 2023

Katsuwonus pelamis, or skipjack, is a vital resource in purse seine fishing across the Central and Western Pacific. Identifying skipjack distribution hotspots and coldspots is crucial for effective resource management, but the dynamic nature of fish behavior means these spots are not constant. We used Chinese fishing logbook data from 2010 to 2019 to analyze skipjack resource hotspots and coldspots in a space-time cube. The study revealed 13 spatiotemporal patterns in skipjack Catch per Unit Effort (CPUE). Hotspots (36.53%) were concentrated in the central area, predominantly showing oscillating hotspots (21.25%). The significant effect of the eastern oscillating hotspot continues to be enhanced and extends to the east. Coldspots constituted 63.47% of the distribution, mainly represented by intensifying coldspots (25.07%). The no-pattern-detected type (10.53%) is distributed between coldspots and hotspots. The fishing grounds exhibited longitudinal oscillations of 3°–6° and latitudinal oscillations of 1°–2°. The spatial autocorrelation of cold and hot spot distribution was strong, and the spatiotemporal dynamic changes in skipjack resources were closely related to the El Niño-Southern Oscillation (ENSO) phenomenon. Notably, during 2011–2016, hotspots exhibited an eastward expansion trend, which continued from 2017–2019 due to the influence of fishery management measures, such as the Vessel Day Scheme (VDS) system.
Possible Alternatives: Identifying and Quantifying Adulteration in Buffalo, Goat, and Camel Milk Using Mid-Infrared Spectroscopy Combined with Modern Statistical Machine Learning Methods
Authors: Chu Chu , Wang Haitong , Luo Xuelu , Wen Peipei , Nan Liangkang , Du Chao , Fan Yikai , Gao Dengying , Wang Dongwei , Yang Zhuo , Yang Guochang , Liu Li , Li Yongqing , Hu Bo , Abula Zunongjiang , Zhang Shujun
Published: October 2023

Adulteration of higher priced milks with cheaper ones to obtain extra profit can adversely affect consumer health and the market. In this study, pure buffalo milk (BM), goat milk (GM), camel milk (CM), and their mixtures with 5–50% (vol/vol) cow milk or water were used. Mid-infrared spectroscopy (MIRS) combined with modern statistical machine learning was used for the discrimination and quantification of cow milk or water adulteration in BM, GM, and CM. Compared to partial least squares (PLS), modern statistical machine learning—especially support vector machines (SVM), projection pursuit regression (PPR), and Bayesian regularized neural networks (BRNN)—exhibited superior performance for the detection of adulteration. The best prediction models for the different predictive traits are as follows: The binary classification models developed by SVM resulted in differentiation of CM-cow milk, and GM/CM-water mixtures. PLS resulted in differentiation of BM/GM-cow milk and BM-water mixtures. All of the above models have 100% classification accuracy. SVM was used to develop multi-classification models for identifying the high and low proportions of cow milk in BM, GM, and CM, as well as the high and low proportions of water adulteration in BM and GM, with correct classification rates of 94%, 100%, 100%, 99%, and 100%, respectively. In addition, a PLS-based model was developed for identifying the high and low proportions of water adulteration in CM, with correct classification rates of 100%. A regression model for quantifying cow milk in BM was developed using PCA + BRNN, with RMSEV = 5.42%, and RV2 = 0.88. A regression model for quantifying water adulteration in BM was developed using PCA + PPR, with RMSEV = 1.70%, and RV2 = 0.99. Modern statistical machine learning improved the accuracy of MIRS in predicting BM, GM, and CM adulteration more effectively than PLS.
Ultrasound-Assisted Encapsulation of Phytochemicals for Food Applications: A Review
Authors: Cauduro Vitoria Hagemann , Cui Jiwei , Flores Erico Marlon Moraes , Ashokkumar Muthupandian
Published: October 2023

The use of phytochemicals as natural food additives is a topic of interest for both academic and food industry communities. However, many of these substances are sensitive to environmental conditions. For this reason, encapsulation is usually performed prior to incorporation into food products. In this sense, ultrasound-assisted encapsulation is an emerging technique that has been gaining attention in this field, bringing important advantages for the production of functional food products. This review article covered applications published in the last five years (from 2019 to 2023) on the use of ultrasound to encapsulate phytochemicals for further incorporation into food. The ultrasound mechanisms for encapsulation, its parameters, such as reactor configuration, frequency, and power, and the use of ultrasound technology, along with conventional encapsulation techniques, were all discussed. Additionally, the main challenges of existing methods and future possibilities were discussed. In general, ultrasound-assisted encapsulation has been considered a great tool for the production of smaller capsules with a lower polydispersity index. Encapsulated materials also present a higher bioavailability. However, there is still room for further developments regarding process scale-up for industrial applications. Future studies should also focus on incorporating produced capsules in model food products to further assess their stability and sensory properties.
Incorporation of Yogurt Acid Whey in Low-Lactose Yogurt Ice Cream
Authors: Sakkas Lambros , Karela Marianna , Zoidou Evangelia , Moatsou Golfo , Moschopoulou Ekaterini
Published: October 2023

Yogurt acid whey (YAW), a by-product of strained yogurt production, is a strong environmental pollutant because of its high organic load. Hence, efforts are made for its utilization to minimize its disposal in the environment. This study deals with the incorporation of YAW in yogurt ice cream (YIC) by partial replacement of yogurt with simultaneous lactose hydrolysis (LH) of the formulated YIC mix. Six YIC mix formulations were made, two without YAW (non-LH- and LH-control samples, A and AH), two with 12.5% YAW (samples B and BH), and two with 18.75% YAW (samples C and CH). The results showed that the partial replacement of yogurt with YAW decreased significantly (p < 0.05) the total solids of B, BH, C, and CH products (31.72 ± 0.14%, 31.92 ± 0.21%, 30.94 ± 0.14%, and 31.27 ± 0.10%, respectively) compared to the total solids of control products A and AH (33.30 ± 0.36% and 33.74 ± 0.06%, respectively). In contrast, the overruns increased (51.50 ± 2.36%, 58.26 ± 0.09%, 56.86 ± 1.92%, and 65.52 ± 1.30% for the B, BH, C, and CH products, respectively) compared to control samples (42.02 ± 2.62% and 49.53 ± 2.12% for A and AH, respectively). LH significantly decreased the freezing point and the viscosity of the YIC mixes but increased the overruns of the products as shown previously. YAW significantly decreased the hardness of the B and C products (56.30 ± 2.11 N and 43.43 ± 3.91 N, respectively) compared to control A (81.14 ± 9.34 N), and LH decreased it even more, leading to a rather soft scoop YIC. AH, BH, and CH YICs exhibited better melting properties despite the lack of fat destabilization in all samples. After 60 days of storage, counts of yogurt starter microorganisms were still >107 cfu/g and DPPH radical scavenging activity had increased in all products. In the sensory evaluation test, lactose-hydrolyzed samples AH, BH, and CH had less intense sandiness and, as expected, more intense sweetness. In conclusion, in the framework of the circular economy, it is possible for the YAW to be used as a resource material at a ratio of 12.5% to produce a YIC product without leaving behind any new waste.
Online Reputation for Food Sector Exporters in the B2B Context: The Importance of Sustainability
Authors: Puma Flores Manuel Jesús , Rosa-Díaz Isabel María
Published: October 2023

Food exporting companies play a fundamental role in the development of international trade. However, the conceptualization and measurement of their online corporate reputation has not been extensively studied in Business to Business markets, unlike in Business to Consumer contexts. The aim of this research is to identify the variables that determine the online reputation of food companies operating in B2B markets, and to analyze their relationship with the volume of food exports. For this purpose, a three-stage quantitative and qualitative study has been developed, based on in-depth interviews with experts from export organizations and managers of Peruvian food exporting companies, the estimation of an Advanced Sentiment Analysis, the construction of a Total Online Reputation Index (TOR), and the development of regression analysis. The study has identified 13 variables that affect the online reputation of food exporting companies and indicates that the presence of sustainability content on their website and the number of pages visited positively affect the volume of food exports. Moreover, the TOR could have a significant explanatory capacity with respect to company exports. These results constitute a reference guide for both companies in the sector and official export agencies, highlighting the critical aspects to promote their exports.
Characterizing a Cost-Effective Hydrogel-Based Transparent Soil
Authors: Li Kanghu , Ma Lin , Gao Yang , Zhang Jiyang , Li Sen
Published: October 2023

Transparent soil (TS) was specifically designed to support root growth in the presence of air, water, and nutrients and allowed the time-resolved phenotyping of roots in vivo. Nevertheless, it is imperative to further optimize the reagent cost of TS to enable its wider utilization. We substituted the costly Phytagel obtained from Sigma with two more economical alternatives, namely Biodee and Coolaber. TS beads from each brand were prepared using 12 different polymer concentrations and seven distinct crosslinker concentrations. A comprehensive assessment encompassing transparency, mechanical characteristics, particle size, porosity, and stability of TS was undertaken. Compared to the Sigma Phytagel brand, both Biodee and Coolaber significantly reduced the transparency and collapse stress of the TS they produced. Consequently, this led to a significant reduction in the allowable width and height of the growth box, although they could still simultaneously exceed 20 cm and 19 cm. There was no notable difference in porosity and stability among the TS samples prepared using the three Phytagel brands. Therefore, it is feasible to consider replacing the Phytagel brand to reduce TS production costs. This study quantified the differences in TS produced using three Phytagel brands at different prices that will better promote the application of TS to root phenotypes.
Forward Light Scattering of First to Third Generation Vitreous Body Replacement Hydrogels after Surgical Application Compared to Conventional Silicone Oils and Vitreous Body
Authors: Hammer Maximilian , Herth Jonathan , Muuss Marcel , Schickhardt Sonja , Scheuerle Alexander , Khoramnia Ramin , Łabuz Grzegorz , Uhl Philipp , Auffarth Gerd Uwe
Published: October 2023

To treat certain vitreoretinal diseases, the vitreous body, a hydrogel composed of mostly collagen and hyaluronic acid, must be removed. After vitrectomy surgery, the vitreous cavity is filled with an endotamponade. Previously, pre-clinical hydrogel-based vitreous body substitutes either made from uncrosslinked monomers (1st generation), preformed crosslinked polymers (2nd generation), or in situ gelating polymers (3rd generation) have been developed. Forward light scattering is a measure of Stray light induced by optical media, when increased, causing visual disturbance and glare. During pinhole surgery, the hydrogels are injected into the vitreous cavity through a small 23G-cannula. The aim of this study was to assess if and to what extent forward light scattering is induced by vitreous body replacement hydrogels and if Stray light differs between different generations of vitreous body hydrogel replacements due to the different gelation mechanisms and fragmentation during injection. A modified C-Quant setup was used to objectively determine forward light scattering. In this study, we found that the 1st and 3rd generation vitreous body replacements show very low stray light levels even after injection (2.8 +/− 0.4 deg2/sr and 0.2 +/− 0.2 deg2/sr, respectively) as gel fragmentation and generation of interfaces is circumvented. The 2nd generation preformed hydrogels showed a permanent increase in stray light after injection that will most likely lead to symptoms such as glare when used in patients (11.9 +/− 0.9 deg2/sr). Stray light of the 2nd generation hydrogels was 3- and 2-fold increased compared to juvenile and aged vitreous bodies, respectively. In conclusion, this significant downside in the forward light scattering of the 2nd generation hydrogels should be kept in mind when developing vitreous body replacement strategies, as any source of stray light should be minimized in patients with retinal comorbidities.
Association Analysis of Tiller-Related Traits with EST-SSR Markers in Psathyrostachys juncea
Authors: Li Zhen , Wang Tian , Yun Lan , Ren Xiaomin , Wang Yong , Shi Fengling
Published: October 2023

Psathyrostachys juncea is a long-lived perennial Gramineae grass with dense basal tillers and soft leaves. It is used widely in cold and dry areas of Eurasia and North America to establish grazing pasture and is even used as an ideal plant for revegetation and ecological restoration. Plant architecture, especially tillering traits, is critical for bunch grasses in breeding programs, and these traits in plants are mostly quantitative traits. In this study, the genetic diversity, population structure, and linkage disequilibrium of 480 individual lines were analyzed using 127 pairs of the EST-SSR marker, and a significant association between ten plant-architecture-related traits of P. juncea and molecular markers was found. The results of the genetic diversity analysis showed that the number of observed alleles was 1.957, the number of effective alleles was 1.682, Shannon’s information index was 0.554, observed heterozygosity was 0.353, expected heterozygosity was 0.379, and the polymorphism information content was 0.300. A total of 480 individual lines were clustered into five groups based on population genetic structure, principal coordinate analysis, and unweighted pair group method with arithmetic mean analysis (UPGMA). The linkage disequilibrium coefficient (r2) was between 0.00 and 0.68, with an average of 0.04, which indicated a relatively low level of linkage disequilibrium among loci. The results of the association analysis revealed 55 significant marker–trait associations (MTA). Moreover, nine SSR markers were associated with multiple traits. This study provides tools with promising applications in the molecular selection and breeding of P. juncea germplasm.
Perceptions and Attitudes of Mental Health Professionals toward the Mental Health Care Law in Saudi Arabia
Authors: Almadani Ahmad H. , Altheyab Eylaf S. , Alkheraiji Meshal A. , Alfraiji Abdulaziz F. , Albrekkan Fatimah , Alkhamis AlRabab S. , AlBuqami Fay H. , Aljaffer Mohammed A.
Published: October 2023

The Saudi Mental Health Care Law (SMHL) was established in 2014; however, no prior study has evaluated mental health professionals’ perceptions or attitudes toward it. This cross-sectional study examines these aspects and their associated factors among psychiatrists, psychologists, social workers, and psychiatric nurses in Saudi Arabia (SA). The data were collected from 432 participants using an online electronic survey consisting of four sections, including the Mental Health Legislation Attitudes Scale (MHLAS). Psychiatrists comprised most participants (46.06%), followed by psychologists (36.34%). Most participants were 40 years of age or younger (83.10%). Of the 432 participants, 226 (52.31%) were females. Overall, 28.70% were unaware of the existence of the SMHL. A total of 172 (66.67%) out of 258 participants agreed that the legislation operates well in ensuring treatment for persons who require involuntary admission. There was a statistically significant association between specialty and opinions of treatment efficacy and care benefits of the SMHL (p = 0.031 and p < 0.001, respectively). Official implementation of SMHL in participants’ facilities resulted in high MHLAS scores (p = 0.007). Reading or attending lectures and workshops related to the SMHL resulted in high MHLAS scores (p = 0.044 and p = 0.021, respectively). Negative opinions and uncertainty regarding the effect of SMHL on confidentiality were associated with low total MHLAS scores (p < 0.001). This study highlights the need to increase awareness of the SMHL among Saudi Arabian healthcare workers.
The Emotional Experience of Mexican Women with SARS-CoV-2 during Pregnancy―A Qualitative Study
Authors: Gómez-López María Eugenia , Aldrete-Cortez Vania , González-Carpinteiro Aline , Mendizábal-Espinosa Rosa , Bobadilla Liliana
Published: October 2023

Pregnant women have been considered a high-risk group for SARS-CoV-2 infection; the impact of the disease on the health of a mother and her child is still being studied. The emotional impact of the pandemic on pregnant women has been extensively studied. Emotional distress is proposed as a perspective to explain the emotional manifestations in women during this stage as something common rather than pathological. The objective of this study was to explore the emotional experience of women who tested positive for SARS-CoV-2 towards the end of their pregnancy, during the first and second waves of COVID-19 in Mexico. A qualitative study was carried out: 18 pregnant women with COVID-19 were interviewed. A thematic analysis of the data was performed, resulting in 3 main themes and 14 subthemes. The COVID-19-infected mothers-to-be experienced mild to moderate emotional distress. It was more intense for those with comorbidities. This distress was aggravated during obstetrical complications and comorbidities, as well as during COVID-19 and postpartum. The emotional distress was appeased by both the perception of medical care and social support. The emotional distress of pregnant women with COVID-19 requires emotional support to reduce its impact.
Native American Community Perspectives on Oral Health Access: Understanding the Impact of Rurality
Authors: Llaneza Amanda J. , Holt Alex , Stephens Lancer , Seward Julie
Published: October 2023

Purpose: Oral health disparities related to access persist for American Indian/Alaska Native (AI/AN) communities compared to the general population, especially in rural areas of the United States. The objective of this study was to better understand community perspectives of oral health, how rurality impacts access to care, and attitudes towards the implementation of dental therapists in Oklahoma, particularly among the AI/AN population. Methods: A descriptive, observational study design was utilized. An exploratory survey was conducted online and comprised of qualitative and quantitative data. The total frequencies and percentages were evaluated for the quantitative questions. The qualitative data was analyzed using thematic analysis. Utilizing descriptive and qualitative research methods, the focus was to describe the experiences of the respondents and their characteristics related to oral health in Oklahoma. Results: A total of 201 responses were obtained, where 65% (n = 131) identified as an enrolled member or employee of a tribe represented in Oklahoma. Key qualitative themes included community access to care, community concerns, and community motivated solutions. Conclusions: AI/AN communities are an underserved group in healthcare. Although communities in rural areas face major barriers to oral health services, evidence-based solutions can be implemented.
Development and Validation of a Clinical Practicum Transition Shock Scale (CPT-Shock) for Korean Nursing Students
Authors: Kim Soo-Yeon , Ko Yeong-Ju
Published: October 2023

Clinical practice is an important educational tool for nursing students, and their emotions during clinical practice should be accurately understood. This study aimed to develop and verify the validity and reliability of a clinical practicum transition shock scale (CPT-shock) to measure Korean nursing students’ emotional responses when transitioning from a theoretical learning process to clinical practice. This research design was a methodological study and the content, construct, criterion validity, and reliability of the items were verified. Content validity was evaluated by seven experts. The preliminary survey was conducted on 24 nursing students, and the factor analysis was conducted on 331 nursing students in various regions of Korea. Confirmatory factor analysis confirmed the model fit (χ2/df = 1.741, GFI = 0.930, AGFI = 0.902, NFI = 0.869, TLI = 0.923, CFI = 0.938, RMR = 0.035, RMSEA = 0.047) and established discrimination and convergence validity. Positive and negative correlations were found with existing transition shock (r = 0.779) and clinical practice adaptation (r = −0.505), respectively (p < 0.001), thus establishing criterion validity. The reliability was good, with a Cronbach’s α of 0.85. The clinical practicum transition shock scale reflects nursing students’ practice environment and is expected to accurately measure nursing students’ unique emotional shock.
Assessment of Psychosocial Correlates and Associated Factors of Colorectal Cancer Screening among Southwestern Saudi Population: A Cross-Sectional Study
Authors: Alenezi Anfal Mohammed , Alshariyah Mahadi Mane Hussien , Alanazi Maryam Nazal , Abdel-Salam Doaa Mazen , Al-Hazmi Ahmad Homoud , Thirunavukkarasu Ashokkumar , Alhuwaydi Ahmed M. , Alsabilah Rahaf Hamdan , Mohamed Rehab A.
Published: October 2023

Psychosocial correlates are one of the crucial determinants for the uptake of colorectal cancer (CRC) screening by the pre-eligible population. The present study aimed to identify the psychosocial correlates of colorectal cancer screening and determine their associated factors among the Saudi population in the Najran region, Saudi Arabia. Using a validated questionnaire, we assessed five constructs of psychosocial correlates of CRC screening among 790 participants aged 45 years and above. The five constructs were salience and coherence, cancer worries, perceived susceptibility, response efficacy, and social influence. Of the studied population, less than 50% agreed with most of the five constructs’ statements, and 27.5% preferred to follow their family members’ advice. Significantly higher mean scores (±SD) were identified for the male gender (7.38 ± 2.15, p = 0.027) and participants working in government sectors (7.60 ± 2.03, p = 0.027) in the cancer worries construct, while the mean (±SD) scores of perceived susceptibility were significantly higher among married participants (14.38 ± 4.10, p = 0.023) and smokers (14.95 ± 3.92, p = 0.041). Our survey results could help policymakers to implement focused health education programs for the pre-eligible population on the importance of the uptake of CRC screening. Furthermore, it is recommended to carry out exploratory mixed-method surveys in other regions of Saudi Arabia to understand the region’s specific psychosocial correlates towards CRC screening.
Modern Approaches to In Vitro Clonal Banana Production: Next-Generation Tissue Culture Systems
Authors: Erol Mansur Hakan , Dönmez Dicle , Biçen Belgin , Şimşek Özhan , Kaçar Yıldız Aka
Published: October 2023

In this study, the solid culture method, and Plantform™ and SETIS™ temporary immersion bioreactor systems were used comparatively to propagate, root, and acclimatize ‘Grande Naine’ and ‘Azman’ banana varieties for rapid, cheap, and mass production in in vitro conditions. Micropropagation rate, plant height, number of leaves, and fresh and dry weight parameters were investigated in the micropropagation stage across eight subcultures. Rooting rate, plant height, number of leaves, number of roots/plant, root length, fresh and dry weight parameters were investigated in the rooting stage. Photosynthetic pigment analyses and stoma examinations were performed throughout all stages. In the micropropagation stage, a 20% increase in the Plantform™ system, a 12% increase in the SETIS™ system in ‘Grande Naine’, an 82% increase in the Plantform™ system, and a 98% increase in SETIS™ system in ‘Azman’ were determined compared to the solid culture. At the rooting stage, higher data were obtained from bioreactor systems than solid culture. Plants from bioreactor systems acclimatized faster and developed healthier in the greenhouse stage. It was determined that stomata were more active, and pigment accumulation was higher in bioreactor systems. Genetic variations across subcultures are among the most critical issues in banana clonal propagation. Leaf samples were taken from each system, and plant variation was investigated using SSR (Simple Sequence Repeat) markers. No variation was observed from the initial stage to the greenhouse stage. As a result, it has been determined that bioreactor systems are an essential alternative for the mass production of bananas.
The Impact of the COVID-19 Pandemic on the Assessment of Healthcare and Anxiety Disorders in Patients with Chronic Diseases
Authors: Cichocka Edyta , Maj-Podsiadło Anna , Gumprecht Janusz
Published: October 2023

(1) Background: We compared the impact of the COVID-19 pandemic on the functioning and mental health of chronically ill patients, namely those with hemodialysis (HD) and diabetes (DM). (2) Methods: We used a questionnaire to collect the medical data and the Generalized Anxiety Questionnaire (GAD-7) to measure the mood status. (3) Results: In both groups, a similar percentage of patients had a past COVID-19 infection and similar opinions about pandemic-related inconveniences. The most significant limitations of the study included mask wearing and the restriction of social contact. Mental disorders were significantly more frequently reported in the DM group. Sleep problems were found in approximately 30% of patients. Approximately 20% of patients in both groups declared that the pandemic had negatively affected the quality of their sleep. The mean score of the GAD-7 scale in the HD group did not differ according to gender. In the group of DM patients, a significant difference was observed between men and women, with women scoring higher compared to men. In both groups, the percentage of patients with GAD-7 scores > 5, > 10 and > 15 did not differ significantly. (4) Conclusions: In both groups, chronically ill patients reported anxiety disorders with similar frequency. In the DM group, more severe anxiety disorders were found in women. Mental disorders were significantly more prevalent in DM patients. It seems that HD patients coped better with the psychological aspects of pandemic-related stress and limitations.
Childbearing with Hypermobile Ehlers–Danlos Syndrome and Hypermobility Spectrum Disorders: A Large International Survey of Outcomes and Complications
Authors: Pearce Gemma , Bell Lauren , Pezaro Sally , Reinhold Emma
Published: October 2023

One in 20 births could be affected by hypermobile Ehlers–Danlos syndrome or Hypermobility Spectrum Disorders (hEDS/HSD); however, these are under-diagnosed and lacking research. This study aimed to examine outcomes and complications in people childbearing with hEDS/HSD. A large online international survey was completed by women with experience in childbearing and a diagnosis of hEDS/HSD (N = 947, total pregnancies = 1338). Data were collected on demographics, pregnancy and birth outcomes and complications. Participants reported pregnancies in the UK (N = 771), USA (N = 364), Australia (N = 106), Canada (N = 60), New Zealand (N = 23) and Ireland (N = 14). Incidences were higher in people with hEDS/HSD than typically found in the general population for pre-eclampsia, eclampsia, pre-term rupture of membranes, pre-term birth, antepartum haemorrhage, postpartum haemorrhage, hyperemesis gravidarum, shoulder dystocia, caesarean wound infection, postpartum psychosis, post-traumatic stress disorder, precipitate labour and being born before arrival at place of birth. This potential for increased risk related to maternal and neonatal outcomes and complications highlights the importance of diagnosis and appropriate care considerations for childbearing people with hEDS/HSD. Recommendations include updating healthcare guidance to include awareness of these possible complications and outcomes and including hEDS/HSD in initial screening questionnaires of perinatal care to ensure appropriate consultation and monitoring can take place from the start.
Involvement of Sirtuin 1 in the Growth Hormone/Insulin-like Growth Factor 1 Signal Transduction and Its Impact on Growth Processes in Children
Authors: Fedorczak Anna , Lewiński Andrzej , Stawerska Renata
Published: October 2023

The regulation of growth processes in children depends on the synthesis of growth hormone (GH) and insulin-like growth factor 1 (IGF-1). Insulin-like growth factor 1, which is mainly secreted in the liver in response to GH, is the main peripheral mediator of GH action. Newly discovered factors regulating GH secretion and its effects are being studied recently. One of them is sirtuin 1 (SIRT1). This NAD+-dependent deacetylase, by modulating the JAK2/STAT pathway, is involved in the transduction of the GH signal in hepatocytes, leading to the synthesis of IGF-1. In addition, it participates in the regulation of the synthesis of GHRH in the hypothalamus and GH in the somatotropic cells. SIRT1 is suggested to be involved in growth plate chondrogenesis and longitudinal bone growth as it has a positive effect on the epiphyseal growth plate. SIRT1 is also implicated in various cellular processes, including metabolism, cell cycle regulation, apoptosis, oxidative stress response, and DNA repair. Thus, its expression varies depending on the different metabolic states. During malnutrition, SIRT1 blocks GH signal transduction in hepatocytes to reduce the IGF-1 secretion and prevent hypoglycemia (i.e., it causes transient GH resistance). In this review, we focused on the influence of SIRT1 on GH signal transduction and the implications that may arise for growth processes in children.
Untargeted Lipidomics Analysis Unravels the Different Metabolites in the Fat Body of Mated Bumblebee (Bombus terrestris) Queens
Authors: Guo Yueqin , Liu Fugang , Guo Yulong , Qu Yingping , Zhang Zhengyi , Yao Jun , Xu Jin , Li Jilian
Published: October 2023

The fat body has important functions in energy, fertility, and immunity. In female insects, mating stimulates physiological, behavioral, and gene expression changes. However, it remains unclear whether the metabolites in the fat body are affected after the bumblebee (Bombus terrestris) queen mates. Here, the ultrastructure and lipid metabolites in fat body of mated queens were compared with those of virgins. The fat body weight of mated bumblebee queens was significantly increased, and the adipocytes were filled with lipid droplets. Using LC-MS/MS-based untargeted lipidomics, 949 and 748 differential metabolites were identified in the fat body of virgin and mated bumblebee queens, respectively, in positive and negative ion modes. Most lipid metabolites were decreased, especially some biomembrane components. In order to explore the relationship between the structures of lipid droplets and metabolite accumulation, transmission electron microscopy and fluorescence microscopy were used to observe the fat body ultrastructure. The size/area of lipid droplets was larger, and the fusion of lipid droplets was increased in the mated queen’s fat body. These enlarged lipid droplets may store more energy and nutrients. The observed differences in lipid metabolites in the fat body of queens contribute to understanding the regulatory network of bumblebees post mating.
Physiological Analysis and Genetic Mapping of Short Hypocotyl Trait in Brassica napus L.
Authors: Liu Miaomiao , Hu Fangdi , Liu Lijun , Lu Xiaoming , Li Rong , Wang Jingyu , Wu Junyan , Ma Li , Pu Yuanyuan , Fang Yan , Yang Gang , Wang Wangtian , Sun Wancang
Published: October 2023

Hypocotyl length is a botanical trait that affects the cold tolerance of Brassica napus L. (B. napus). In this study, we constructed an F2 segregating population using the cold-resistant short hypocotyl variety ‘16VHNTS158’ and the cold-sensitive long hypocotyl variety ‘Tianyou 2288’ as the parents, and BSA-seq was employed to identify candidate genes for hypocotyl length in B. napus. The results of parental differences showed that the average hypocotyl lengths of ‘16VHNTS158’ and ‘Tianyou 2288’ were 0.41 cm and 0.77 cm at the 5~6 leaf stage, respectively, after different low-temperature treatments, and ‘16VHNTS158’ exhibited lower relative ion leakage rates compared to ‘Tianyou 2288’. The contents of indole acetic acid (IAA), gibberellin (GA), and brassinosteroid (BR) in hypocotyls of ‘16VHNTS158’ and ‘Tianyou 2288’ increased with decreasing temperatures, but the IAA and GA contents were significantly higher than those of ‘Tianyou 2288’, and the BR content was lower than that of ‘Tianyou 2288’. The genetic analysis results indicate that the genetic model for hypocotyl length follows the 2MG-A model. By using SSR molecular markers, a QTL locus associated with hypocotyl length was identified on chromosome C04. The additive effect value of this locus was 0.025, and it accounted for 2.5% of the phenotypic variation. BSA-Seq further localized the major effect QTL locus on chromosome C04, associating it with 41 genomic regions. The total length of this region was 1.06 Mb. Within this region, a total of 20 non-synonymous mutation genes were identified between the parents, and 26 non-synonymous mutation genes were found within the pooled samples. In the reference genome of B. napus, this region was annotated with 24 candidate genes. These annotated genes are predominantly enriched in four pathways: DNA replication, nucleotide excision repair, plant hormone signal transduction, and mismatch repair. The findings of this study provide a theoretical basis for cloning genes related to hypocotyl length in winter rapeseed and their utilization in breeding.
Ultrasensitive Quantification of Crustacean Tropomyosin by Immuno-PCR
Authors: Radomirović Mirjana , Gligorijević Nikola , Stanić-Vučinić Dragana , Rajković Andreja , Ćirković Veličković Tanja
Published: October 2023

Tropomyosin is the major and predominant allergen among shellfish. This study developed an ultrasensitive immuno-PCR method for the quantification of crustacean tropomyosin in foods. The method couples sandwich ELISA with the real-time PCR (rtPCR) amplification of marker DNAs. Monoclonal anti-TPM antibody was the capture antibody, polyclonal rabbit anti-shrimp tropomyosin antibody was the detection antibody, while natural shrimp tropomyosin served as the standard. A double-stranded amino-DNA was covalently conjugated to a secondary anti-rabbit antibody and subsequently amplified and quantified via rtPCR. The quantification sensitivity of immuno-PCR was 20-fold higher than analogous ELISA, with LOQ 19.8 pg/mL. The developed immuno-PCR method is highly specific for the detection of crustacean tropomyosin and is highly precise in a broad concentration range. Tropomyosin recovery in the spiked vegetable soup was 87.7–115.6%. Crustacean tropomyosin was also quantified in commercial food products. The reported immuno-PCR assay is the most sensitive method for the quantification of crustacean tropomyosin and is the first immuno-PCR-based assay for the quantification of food allergen and food protein in general. The described method could be easily adapted for the specific and ultrasensitive immuno-PCR-based detection of traces of any food allergen that is currently being quantified with ELISA, which is of critical importance for people with food allergies.