bluuebunny/crossref_metadata_2025 huggingface dataset:
Genetic Parameter Estimates for Growth of Hāpuku (Groper, Polyprion oxygeneios) in Land-Based Aquaculture Using Random Regression Models
Authors: Camara Mark D. , Symonds Jane E. , Walker Seumas P. , McQueen Dave , Gublin Yann , Irvine Glen , Pether Steve M. , Forsythe Andrew , Setiawan Alvin N.
Published: September 2024

Hāpuku (Polyprion oxygeneios) is a promising candidate for aquaculture production in New Zealand. Methods for spawning, juvenile production, and growout to harvest entirely on land, where water quality, pathogens, environmental impacts, and genetic “pollution” can be tightly controlled, have been developed, and genetic improvement to optimise land-based production is the obvious next step. However, estimates of genetic parameters are required to design a rigorous, disciplined, and effective selective breeding program. By using existing data consisting of irregularly spaced repeated measurements of fork length and live body weight collected on wild-collected founders and two generations of captively reared progeny, we evaluated the species’ genetic potential for improvement in growth. We first tested a range of univariate random regression models to identify the best-fitting models for these data. Subsequently, using a bivariate model, we estimated variance components for growth trajectories of fork length and whole body weight. With one to six records available per fish, the best-fitting univariate models included only a fixed effect for contemporary groups and fixed and random genetic third-order Legendre polynomials. More complex models that included full-sib family and/or permanent environmental effects produced unacceptable constrained and/or non-positive-definite solutions. Both traits are moderately heritable at all stages of the growout phase (~0.4–0.5), and the genetic correlation patterns between daily breeding values estimated via the covariance function are different for length and weight. Genetic correlations for length between all pairs of age-specific breeding values are positive and strong (>0.7) and change gradually and smoothly with increasing temporal separation. For weight, these correlations deteriorate more rapidly with increasing time lags between measurements and become negative for some age pairings. We conclude that random regression analyses are a valuable tool for extracting genetic information from irregularly spaced repeated measurements of fish size, speculate that emerging technologies for high-throughput genotyping and phenotyping will add to the value of this approach in the near future, and reason that a breeding strategy that rigorously takes into account the potentially unfavourable genetic correlations between breeding values for weight at some ages will further adapt hāpuku to land-based systems and enhance the profitability commercial-scale production.
Physicochemical and Morphological Changes in Long-Grain Brown Rice Milling: A Study Using Image Visualization Technologies
Authors: Jia Xiwu , Dong Rong , Chen Xuan , Wang Zhan , Zhang Hongjian , Shen Wangyang
Published: September 2024

This study evaluated the changes in physicochemical properties and appearance quality of long-grain rice during the grinding process using image technologies and aimed to provide reference for future research. The brown rice milling process was divided into three stages, and flatbed scanning, scanning electron microscopy (SEM), X-ray micro-computed tomography (micro-CT), low-field nuclear magic resonance (LF-NMR), and headspace–gas chromatography–ion mobility spectrometry (HS–GC–IMS) were employed to examine the physicochemical and volatile properties of the samples. Results revealed a continuous increase in the degree of milling, with a broken rice rate and a whiteness value increasing by 50.84% and 21.13%, respectively, compared with those during the initial stage; dietary fiber and vitamin B1 contents were reduced by 54.41% and 66.67%, respectively. The image results visualized showed that the cortex of brown rice was gradually peeled off with the increase in milling degree; the cortical thickness was gradually reduced, the endosperm was gradually exposed, and the surface was smoother and shinier. T2 populations exhibited a shift toward longer relaxation times, followed by a decrease in relaxation time during the milling process. Additionally, 31 target compounds impacting rice flavor, mainly ketones, alcohols, and esters, were identified, and the concentration of volatile substances in the B region decreased with the reduction in the bran layer; the concentration of volatile substances in the C region provided rice flavor, which increased with the milling process. This study showed changes in the physicochemical properties and appearance quality of long-grain brown rice during milling. Furthermore, the use of various image processing techniques offers significant insights for optimizing processing parameters and enhancing overall quality and taste.
Molecular Sensomics Combined with Random Forest Model Can Reveal the Evolution of Flavor Type of Baijiu Based on Differential Markers
Authors: Huang He , Chen Yiyuan , Hou Yaxin , Hong Jiaxin , Chen Hao , Zhao Dongrui , Wu Jihong , Li Jinchen , Sun Jinyuan , Sun Xiaotao , Huang Mingquan , Sun Baoguo
Published: September 2024

Baijiu is popular with a long history and balanced flavor. Flavor type is the most widely used classification mode for Baijiu. However, the evolutionary relationships of Baijiu flavor types and the differential markers between flavor types are still unclear, significantly impacting the development of the Baijiu industry. In this study, a total of 319 trace components were identified using gas chromatography–olfactometry–mass spectrometry and gas chromatography–mass spectrometry. Among them, 91 trace components with high odor active values or taste active values were recognized as flavor components. Then random forests were conducted to screen differential markers between the derived and basic flavor types, while a principal component analysis assessed their effectiveness in distinguishing the flavor types of Baijiu. Finally, 19 differential markers (including 3-methylbutyric acid, pentanoic acid, 2-butanol, 2,3-butanediol, ethyl pro-panoate, isobutyl acetate, ethyl butanoate, ethyl hexanoate, ethyl heptanoate, ethyl lactate, ethyl 2-hydroxy butanoate, isopentyl hexanoate, ethyl nonanoate, isopropyl myristate, ethyl tetradecanoate, ethyl benzoate, 2,4-di-t-butylphenol, 2-methylbutanal and 3-octanone) were screened and proven to effectively reveal the evolution of Baijiu flavor types; these were further verified as key differential markers using addition tests and a correlation analysis.
Assessment of the Suitability of Flour Obtained from Mountain Rye Grain Milling and the Method of Dough Fermentation for the Production of Rye Bread
Authors: Kaszuba Joanna , Czyż Magdalena , Cebulak Tomasz , Pycia Karolina
Published: September 2024

Currently, there is an increase in consumer interest in food produced from raw materials from organic farming, which has an impact on the greater attention paid to the possibility of increasing the cultivation of old cereal species. One of the cereals that is suitable for these trends is mountain rye, which is a premise for undertaking research on the usefulness of this cereal grain in food production. Therefore, the aim of the study was to compare the baking value of flour with different milling yields obtained from milling mountain rye grain. The research material consisted of rye grain (Secale montanum Guss.), which was milled, and 6 different rye flours were obtained. The flour was tested for selected quality parameters such as moisture, crude protein content, total ash content, and acidity. Doughs were prepared and fermented using a single-phase method carried out in two different variants, with or without the addition of lactic acid. The obtained rye breads were quality assessed and subjected to organoleptic and consumer evaluations. The use of the fermentation method with dough acidification with lactic acid allowed us to obtain breads with a better specific volume and acidity compared to those obtained from dough without acidification. Breads baked from dough prepared using the method of non-acidification with lactic acid had better porosity of the crumb. In the quality classification, breads made from low-extract flour turned out to be the best, and breads baked from dough made using the non-lactic acid acidification method were more generally accepted by panelists. As confirmed by research, mountain rye grain is a raw material for the production of flour with good baking value, which depends on the preparation of the grain and milling method. The quality of rye bread made from mountain rye flour depends on the flour yield, the baking value of the flour, and the method used for dough fermentation for bread baking
The Development of New Functional Foods and Ingredients
Authors: Lee Jeung Hee , Kim Mi Jeong , Kim Choon Young
Published: September 2024

Functional foods have emerged as a crucial area of research and innovation in the realm of food science, offering promising solutions for the prevention and management of chronic diseases such as cardiovascular disease, cancer, osteoporosis, diabetes, and hypertension [...]
Lipidomic Profiling and Storage-Induced Changes in Cassava Flour Using LC-MS/MS
Authors: Du Peixu , Wang Qinfei , He Yi , Yu Houmei , Lin Liming , Zhang Zhenwen
Published: September 2024

Cassava serves as a primary staple food for over one billion people worldwide. The quality of cassava flour is markedly affected by the oxidation and deterioration of lipids during storage. Despite its significance, the lipid composition of cassava flour and its alterations throughout storage periods have not been extensively studied. This study offers a comprehensive lipidomic analysis of cassava flour over storage periods using liquid chromatography–mass spectrometry/mass spectrometry (LC-MS/MS). The results showed that 545 lipids from five classes and 27 subclasses were identified in cassava flour, including key substances such as free fatty acids (36 species), diglycerides (DGs) (31 species), and triglycerides (TGs) (259 species). Using Metware Cloud for statistical analysis, significant variations were observed in 50 lipid species over long-term storage, reflecting changes in lipid profiles due to storage. These lipids correlate with seven metabolic pathways, among which glycerolipid metabolism is the most affected. The metabolites associated with these pathways can differentiate cassava flour based on the length of storage. This study provides a theoretical basis and storage technology parameters for lipid changes during cassava flour storage.
Enhanced Surveillance of >1100 Pesticides and Natural Toxins in Food: Harnessing the Capabilities of LC-HRMS for Reliable Identification and Quantification
Authors: Bessaire Thomas , Savoy Marie-Claude , Ernest Marion , Christinat Nicolas , Badoud Flavia , Desmarchelier Aurélien , Carrères Benoit , Chan Wai-Chinn , Wang Xiaoyu , Delatour Thierry
Published: September 2024

The consequences of climate change along with diverse food regulations and agricultural practices worldwide are complexifying the occurrence and management of chemical contaminants in food. In this context, we present an ultra-high-performance liquid chromatography high-resolution mass spectrometry (LC-HRMS) approach for the simultaneous identification and quantitation of over 1100 pesticide residues, mycotoxins, and plant toxins in cereals and fruits and vegetables. Analytical conditions were optimized to maximize the scope of the targeted molecules, the reliability of compound identification, and quantification performance within a single method. The method was further transferred and validated in another laboratory to assess its ruggedness. Validation according to the SANTE 11312/2021v2 guidelines showed that 92% and 98% of the molecules fulfill the quantification criteria at the lowest validated level in the cereals and fruits and vegetables groups, respectively. Analysis of fifteen certified reference materials led to a 96% satisfactory rate of z-scores confirming method’s competitiveness. Furthermore, the occurrence of these contaminants was studied in 205 cereals and grains samples collected worldwide. The low µg/kg quantification limits make this LC-HRMS method a valuable tool to ensure compliance toward regulations and to screen for non-regulated substances for which occurrence data are crucial for an appropriate risk evaluation.
Comment on Vicente, F.; Pereira, P.C. Pork Meat Composition and Health: A Review of the Evidence. Foods 2024, 13, 1905
Authors: Grant William B.
Published: September 2024

In their recent review, Vicente and Pereira concluded that pork meat can be an option for a healthful and sustainable diet [...]
Reply to Grant, W.B. Comment on “Vicente, F.; Pereira, P.C. Pork Meat Composition and Health: A Review of the Evidence. Foods 2024, 13, 1905”
Authors: Vicente Filipa , Pereira Paula C.
Published: September 2024

Our most recent paper, “Pork Meat Composition and Health: A Review of the Evidence”, is, as stated in title, a review [...]
Sex-Specific Lipid Profiles and Flavor Volatiles in Giant Salamander (Andrias davidianus) Tails Revealed by Lipidomics and GC-IMS
Authors: Zhao Shibo , Yu Jinghong , Xi Linjie , Kong Xiangdong , Pei Jinjin , Jiang Pengfei , Gao Ruichang , Jin Wengang
Published: September 2024

To elucidate the relationships between lipid components and odor traits, this study comparatively characterized the distinct lipid compositions and flavor volatiles in giant salamander tails of different sexes via mass-spectrometry-based lipidomics and GC-IMS. A total of 3145 fat metabolites were detected in male and female giant salamander tails, with the largest contributors being triglycerides (TGs, 840) and phosphatidylcholines (PCs, 383). Notably, the contents of PCs and TGs were greater in female tails than in male tails, and the levels of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) were also greater in the female group. Additionally, a total of 45 volatile components were detected, namely, 14 aldehydes, 14 alcohols, 9 ketones, 3 acids, 3 esters, 1 ether, and 1 amine. Alcohols (29.96% to 34.85%) and aldehydes (21.07% to 22.75%) were the predominant volatiles. Multivariate statistical analysis revealed 22 key differential fats and 26 differential odor substances as distinguishing labels between sexes. Correlation analysis revealed that the concentrations of triethylamine, dimethyl sulfide, ethanol-D, and 3-methyl butanal-D were significantly positively correlated with the concentrations of diglyceride (DG) (26:6e), cardiolipin (CL) (59:4), acylcarnitine (AcCa) (22:4), and triglyceride (TG) (52:10) (p < 0.01). Threefold cross-validation revealed that the prediction accuracies of these differential lipids and volatile compounds for sex recognition via the random forest model were 100%. These findings might not only provide insight into the effects of sexes on the lipid and volatile profiles of giant salamander tails but also provide clues for their gender recognition.
Geosites of Northern Mountainous Adygeya (Southwestern Russia): A Novel Vision
Authors: Mikhailenko Anna V. , Ruban Dmitry A.
Published: September 2024

Territorial inventories of geosites remain on the international agenda, and they can help in acquiring information for solving pure geological research tasks. New field investigations in the northern part of Mountainous Adygeya (geoheritage-rich territory in the western Greater Caucasus) permitted us to extend our knowledge of its geosites. Five geosites were described qualitatively and assessed semi-quantitatively, namely the Polkovnitskaya River Valley (ammonite-bearing concretions of Aptian glauconitic sandstones), the Little Khadzhokh River Valley (Aptian glauconitic sandstones with fossils and trace fossils), the Shakhan and Middle Khadzhokh River Valley (Upper Jurassic variegated siliciclastics, Hauterivian fluvial and deltaic sandstones, mixed ancient and modern clastic material), the Big Khadzhoh Waterfall (splendid waterfall and exposures of locally folded Oxfordian–Kimmeridgian limestones), and the Verblyud Mountain (small, camel-shaped cuesta’s remnant). They were ranked nationally (one geosite), regionally (three geosites), and locally (one geosite). Close examination of the considered geosites permitted to register pure geological peculiarities (changes in the dip direction between sedimentary packages), which indicate the tectonic activity across the Jurassic–Cretaceous transition. Additionally, complex accessibility patterns were established in some geosites, and these patterns should be addressed in further refinements of the semi-quantitative approaches to geosite assessment.
Uncovering Interdecadal Pacific Oscillation’s Dominance in Shaping Low-Frequency Sea Level Variability in the South China Sea
Authors: Thompson Bijoy , Tkalich Pavel , Faller Daiane G. , Zachariah Johnson
Published: September 2024

The low-frequency sea level variability in the South China Sea (SCS) is examined using high-resolution regional ocean model simulations that span the last six decades. The analysis reveals interdecadal oscillations with a periodicity of 12–13 years as the dominant mode of sea level variability in the SCS. The fluctuations in the Luzon Strait transport (LST) are identified as primary drivers of interannual to interdecadal sea level variability, rather than atmospheric forcing within the SCS. Fourier spectrum analysis is employed to investigate the association between SCS sea level variability and the Interdecadal Pacific Oscillation (IPO), using principal components of SCS sea surface height anomalies, wind stress curl, wind stress components, net short wave flux, as well as the LST and various climate indices. The variations in the SCS sea level are driven by the IPO, which modifies the LST and ocean heat content, impacting the steric sea level.
Utopian Science Fiction and Ethnic Future Imagination in Chinese Contemporary Science Fiction
Authors: Jiang Yuqin
Published: September 2024

Utopian science fiction, as a fusion of science fiction literature and utopian literature, integrates the construction of imagined interactions between people, technology, society, and the environment in future narratives. In doing so, it deepens the aesthetic value and social significance of science fiction literature. Chinese science fiction utopian future narratives use technological imagination to construct three models of expression. First, they re-examine the symbiotic patterns of technology, humanity, and time within the multiple dimensions of human subjectivity. Second, within the transformation of social structures, they reassess the subject and emotions, recognizing that the acceleration of social change has transformed human nostalgia into a series of rehearsals seeking future possibilities in the past. Third, within the dissolution of cultural politics, they reconsider space and the environment, reconstructing planetary existence through a model of deterritorialization. The imagined technological developments constitute the internal logic of Chinese science fiction utopian future narratives, suggesting that the future is an uncertain movement entangled with technology, time, space, and human nature. The confluence of technology, time, and humanity gives rise to people’s expectations and yearnings for eternal life. However, these three modes of narrating the future also lead us to return to Earth as the central theme, highlighting the planetary nature and reflecting on the meaning of existence.
Impact of Mobile Health Literacy, Stroke-Related Health Knowledge, Health Beliefs, and Self-Efficacy on the Self-Care Behavior of Patients with Stroke
Authors: Kim Hana , Han Aro , Lee Hyunjung , Choi Jiwoo , Lee Hyohjung , Cho Mi-Kyoung
Published: September 2024

Background: The recent substantial increase in the incidence of stroke cases has resulted in high medical expenses. Stroke necessitates ongoing care, emphasizing the importance of consistent self-management. The occurrence of stroke impacts healthcare costs and has far-reaching effects on social services, encompassing disability, unemployment, and other related concerns beyond individuals and families. This study aimed to assess the impact of mobile health literacy, stroke-related health knowledge, health beliefs, and self-efficacy on self-care behaviors of patients with stroke to plan tailored self-care interventions for this patient population. Methods: This descriptive survey included 99 stroke patients from three hospitals, which provided treatment equivalent to or better than general hospitals, in City C and was conducted between 7 July 2023 and 30 May 2024. The data collected from hospitalized stroke patients were analyzed using descriptive statistics, independent t-tests, one-way ANOVA, and multiple linear regression. Results: The self-care behavior of patients with stroke who participated in the study was 73.01 ± 12.24 points. Stroke self-efficacy was identified as a significant factor influencing stroke self-care behaviors and eating habits. Mobile health literacy and stroke self-efficacy also influenced medication and self-care behavior, whereas hypertension and stroke self-efficacy affected lifestyle self-care behaviors. Conclusions: Strengthening stroke self-efficacy, improving mobile health literacy, and addressing comorbidities such as hypertension are important for promoting self-care behavior in stroke patients.
Factors Affecting Glycemic Control in Patients with Type 2 Diabetes in Kalasin Province, Thailand: An Analytical Cross-Sectional Study
Authors: Phuwilert Patcharin , Khiewkhern Santisith , Phajan Teerasak , Wongprachum Kasama , Wibuloutai Jindawan , Srichomphoo Chitkamon , Nghiep Le Ke , Tudpor Kukiat
Published: September 2024

Background: Optimal glycemic management is critical since it can predict all associated essential causes of death, even after accounting for other risk factors. Objectives: This study investigated the factors associated with glycemic control in patients with type 2 diabetes mellitus (T2DM), particularly self-care behaviors. Methods: An analytical cross-sectional study examined 385 patients with T2DM in 1 general and 17 community hospitals in Kalasin Province. The samples were collected using mixed-method sampling. Data were collected using a validated questionnaire with six parts and laboratory examination records between September 2021 and December 2022. Descriptive statistics (e.g., percentages and means ± SD) were used to analyze the data. The relationship between relevant factors and lack of glycemic control was analyzed by multivariate logistic regression using SPSS version 25. Results: Results showed that most patients were female (78.18%), and the mean age was 59.84 ± 9.05 years. Additionally, a significant proportion of the patients (79.74%) had poor glycemic control. Several factors are significantly associated with poor glycemic control in patients with T2DM. These factors included subjects under the age of 60 years (OR = 2.95, 95% CI: 1.57 to 5.54; p-value < 0.001), a diabetes duration of over 10 years (OR = 3.95, 95% CI: 1.90 to 8.22; p-value < 0.001), poor knowledge about diabetes (OR = 3.92, 95% CI: 1.59 to 9.67; p-value < 0.003), and inadequate self-care behaviors (OR = 6.12, 95% CI: 3.20 to 11.68; p-value < 0.001). Conclusions: In conclusion, proper interventions for controlling glycemic level behaviors are necessary to improve proper self-care behaviors in patients who have a low knowledge level of T2DM, have had diabetes for over ten years, and are aged < 60 years. This approach can reduce the likelihood of experiencing disabilities and economic hardship.
Health-Related Quality of Life in Long-Term Colorectal Cancer Survivors
Authors: Marcos-Delgado Alba , Martín-Sánchez Vicente , Molina-Barceló Ana , Alonso-Molero Jessica , Pérez-Gómez Beatriz , Pollán Marina , Aragonés Nuria , Ederra-Sanza María , Fernández-Tardón Guillermo , Binefa Gemma , Moreno Victor , Barrios-Rodríguez Rocío , Amiano Pilar , Huerta José María , Teso Enrique Pastor , Alguacil Juan , Castaño-Vinyals Gemma , Kogevinas Manolis , Molina de la Torre Antonio José
Published: September 2024

The aim of our study is to evaluate the relationship between sociodemographic and clinical characteristics of individuals with Colorectal Cancer (CRC), tumour-intrinsic characteristics and treatment received with health-related quality of life (HRQoL). Methods: Cross-sectional analysis of data from 805 survivors from the MCC study was conducted. HRQoL was assessed through a general and specific questionnaire, SF-12 and FCSI (Colorectal Symptom Index). Statistical analyses were performed with linear regression with adjustment for sociodemographic variables, stage at diagnosis and histological grade. Results: Participants had survived a median of 7.9 years from diagnosis (IQR 7.1–8.5 years). Age at diagnosis, sex and area showed a clear association with HRQoL in both physical and mental dimensions of the SF-12 questionnaire. A direct association between CRC recurrence was also found in the PCS-12 and MCS-12 dimensions and radical surgery in the PCS-12. Regarding the scores in FCSI questionnaire, statistically significant differences were observed by sex, age and area, with older women being the most impaired (p < 0.001). Conclusions: Age, sex and area was associated with lower scores of HRQoL among CRC survivors. Knowing the determinants related to HRQoL would allow us to lay the groundwork to develop strategies that help reduce morbidity and mortality, relapses and increase HRQoL.
Predictors of Poor Mental Health Outcomes in Healthcare Workers during COVID-19: A Two Waves Study
Authors: Gritti Emanuela Saveria , Bassi Giulia , Lomoriello Arianna Schiano , Simonelli Alessandra , Salcuni Silvia , Boldrini Tommaso , Girardi Paolo
Published: September 2024

Objective: This cross-sectional study aimed to identify potential predictors of poor mental health outcomes among healthcare workers in two different waves of the COVID-19 emergency in Italy. Methods: An online survey collected data from N = 557 healthcare workers (21–77 years). The study predictors were sociodemographic characteristics, occupational status, factors related to the work environment, COVID-19-related adverse events, and lifetime traumatic events. The poor mental health outcomes that were considered were depersonalization/derealization, anxiety, depression, and somatization symptoms. Results: The main predictors of poor mental health outcomes were sleeping less than six hours per night, inadequate protective equipment measures, female gender, personal and familiar infection, living alone, working as a nurse, and working in a COVID-19 ward. Healthcare workers in 2021 reported experiencing more serious accidents and stressful events than those of the first wave. Depressive symptoms and COVID-19-related adverse events were higher in the second pandemic outbreak than in the first. Conclusions: Preventive strategies against poor mental health outcomes should be particularly focused on female nurses who live alone, work in areas with high infection rates, and have experienced the COVID-19 infection personally or who are close to people that have experienced the infection.
Bioinformatics Analysis and Expression Features of Terpene Synthase Family in Cymbidium ensifolium
Authors: Wang Mengyao , Liu Baojun , Li Jinjin , Huang Ningzhen , Tian Yang , Guo Liting , Feng Caiyun , Ai Ye , Fu Chuanming
Published: September 2024

Terpene synthases (TPSs) are crucial for the diversification of terpenes, catalyzing the formation of a wide variety of terpenoid compounds. However, genome-wide systematic characterization of TPS genes in Cymbidium ensifolium has not been reported. Within the genomic database of C. ensifolium, we found 30 CeTPS genes for this investigation. CeTPS genes were irregularly distributed throughout the seven chromosomes and primarily expanded through tandem duplications. The CeTPS proteins were classified into three TPS subfamilies, including 17 TPS-b members, 8 TPS-a members, and 5 TPS-c members. Conserved motif analysis showed that most CeTPSs contained DDxxD and RRX8W motifs. Cis-element analysis of CeTPS gene promoters indicated regulation primarily by plant hormones and stress. Transcriptome analysis revealed that CeTPS1 and CeTPS18 had high expression in C. ensifolium flowers. qRT-PCR results showed that CeTPS1 and CeTPS18 were predominantly expressed during the flowering stage. Furthermore, CeTPS1 and CeTPS18 proteins were localized in the chloroplasts. These results lay the theoretical groundwork for future research on the functions of CeTPSs in terpenoid biosynthesis.
Host–Pest Interactions: Investigating Grapholita molesta (Busck) Larval Development and Survival in Apple Cultivars under Laboratory and Field Conditions
Authors: Amat Carles , Bosch-Serra Dolors , Avilla Jesús , Escudero-Colomar Lucía-Adriana
Published: September 2024

Phenology models are widely used in Decision Support Systems to predict the phenology of pests. Grapholita molesta (Busck) (Lepidoptera: Tortricidae), a polyphagous pest, has a high prevalence in apple trees (Malus domestica Borkh.) (Rosales: Rosaceae) in certain areas, despite the fact that apple trees are considered secondary hosts. Its natural behavior of feeding inside plant tissue at the larval stage makes monitoring and planning methods of control critical for Integrated Pest Management. The development times and survival rates of two field populations of G. molesta larvae on apple cultivars ‘Gala’, ‘Golden’, and ‘Fuji’ were determined under different temperature (constant versus field fluctuation) and feeding conditions (diet versus apples attached to the tree and detached from the tree). The results showed that G. molesta fitness in apples is affected by fluctuating temperature regimes in the field, the condition of the fruit, whether or not the fruit is attached to the tree, and the cultivar. The temperature was the main cause of the differences in the studied parameters. Larvae developme–nt time was delayed due to fluctuating field temperatures. Larvae had a shorter development time in fruits detached from the tree compared to attached fruits, and apple cultivars influenced development time in both laboratory and field conditions, with the ‘Golden’ cultivar having better fitness and a higher rate of larvae survival in the fruits attached to the tree. These factors need to be considered to properly adjust the phenology models and improve the Integrated Pest Management system of apples.
The Effect of Rainfall and Temperature Patterns on Childhood Linear Growth in the Tropics: Systematic Review and Meta-Analysis
Authors: Desta Derese Tamiru , Teferra Tadesse Fikre , Gebremedhin Samson
Published: September 2024

Despite existing research on child undernutrition in the tropics, a comprehensive understanding of how weather patterns impact childhood growth remains limited. This study summarizes and estimates the effect of rainfall and temperature patterns on childhood linear growth among under-fives in the tropics. A total of 41 out of 829 studies were considered based on preset inclusion criteria. Standardized regression coefficients (β) were used to estimate effect sizes, which were subsequently pooled, and forest plots were generated to visually represent the effect size estimates along with their 95% confidence intervals. Of the total reports, 28 and 13 research articles were included in the narrative synthesis and meta-analysis, respectively. The studies establish that patterns in rainfall and temperature either increase or decrease childhood linear growth and the risk of stunting. An increase in every one standard deviation of rainfall results in a 0.049 standard deviation increase in linear growth (β = 0.049, 95% CI: 0.024 to 0.073). This positive association is likely mediated by various factors. In countries where agriculture is heavily dependent on rainfall, increased precipitation can lead to higher crop yields which could in turn result in improved food security. The improved food security positively impacts childhood nutrition and growth. However, the extent to which these benefits are realized can vary depending on moderating factors such as location and socio-economic status. Temperature pattern showed a negative correlation with linear growth, where each standard deviation increase resulted in a decrease in linear growth by 0.039 standard deviations, with specific impacts varying by regional climates (β = −0.039, 95% CI: −0.065 to −0.013). Additionally, our meta-analysis shows a small but positive relationship of childhood stunting with temperature pattern in western Africa (β = 0.064, 95% CI: 0.035, 0.093). This association is likely due to temperature patterns’ indirect effects on food security and increased disease burden. Thus, the intricate interaction between weather patterns and childhood linear growth requires further research to distinguish the relationship considering other factors in the global tropics. While our findings provide valuable insights, they are primarily based on observational studies from sub-Saharan Africa and may not be generalizable to other tropical regions.
Examining Drinking Water Preferences among University Students: A Comparative Assessment
Authors: Mahmood Razi , Hassan Norr , Chamseddine Ashraf , Rangarajan Ravi , Yassoub Rami
Published: September 2024

In recent years, there has been a clear increase in bottled water consumption globally, which has led to significant health and environmental concerns. This cross-sectional study aims to understand the attitude and preferences of university students in Qatar towards the use of bottled and tap drinking water using an online survey questionnaire (September and October 2022). The number of students who responded to the online survey was 14% (n = 688) of the student population, with a mean age of 22.23 ± 5.15 years from the different colleges. Overall, a higher fraction of students preferred plastic bottled water as the main drinking source on campus (n = 468; 68.02%), with a majority of them being females (72.08%). Out of the 468 students who preferred plastic bottled water, safety was the most important factor (43.80%), followed by convenience (16.88%) and taste (15.60%). Cost (15.17%), personal/family habits (5.13%), environmental concerns (2.14%), and mineral content (1.28%) were found to be the least important factors. Among the 45 students (6.54%) who preferred tap water over plastic bottled water, cost (46.67%) was the dominant factor, followed by convenience (20.00%), environmental concerns and safety (13.33% each), taste (4.44%), and personal/family habits (2.22%). Around 72% believed that plastic water bottles were more harmful to the environment, yet the greater majority still resorted to this source. The research study underscores safety as the major factor favoring bottled water over tap water. Further, it suggests that knowledge alone does not fully explain student behavior, implying other influential factors. This study recommends campaigns focus on attitude and behavior change and not solely emphasize knowledge. There is an immediate need to further educate students through environmental and health literacy programs on water consumption and quality. Enabling the population to understand the positive and negative aspects of their choices may be an effective remedy for ensuring a healthy population and healthy environment.
Urban Spatiotemporal Event Prediction Using Convolutional Neural Network and Road Feature Fusion Network
Authors: Jiang Yirui , Zhao Shan , Li Hongwei , Wu Huijing , Zhu Wenjie
Published: September 2024

The security challenges faced by smart cities are attracting more attention from more people. Criminal activities and disasters can have a significant impact on the stability of a city, resulting in a loss of safety and property for its residents. Therefore, predicting the occurrence of urban events in advance is of utmost importance. However, current methods fail to consider the impact of road information on the distribution of cases and the fusion of information at different scales. In order to solve the above problems, an urban spatiotemporal event prediction method based on a convolutional neural network (CNN) and road feature fusion network (FFN) named CNN-rFFN is proposed in this paper. The method is divided into two stages: The first stage constructs feature map and structure of CNN then selects the optimal feature map and number of CNN layers. The second stage extracts urban road network information using multiscale convolution and incorporates the extracted road network feature information into the CNN. Some comparison experiments are conducted on the 2018–2019 urban patrol events dataset in Zhengzhou City, China. The CNN-rFFN method has an R2 value of 0.9430, which is higher than the CNN, CNN-LSTM, Dilated-CNN, ResNet, and ST-ResNet algorithms. The experimental results demonstrate that the CNN-rFFN method has better performance than other methods.
Low-Basicity 5-HT6 Receptor Ligands from the Group of Cyclic Arylguanidine Derivatives and Their Antiproliferative Activity Evaluation
Authors: Zaręba Przemysław , Drabczyk Anna K. , Wnorowski Artur , Maj Maciej , Malarz Katarzyna , Rurka Patryk , Latacz Gniewomir , Duszyńska Beata , Ciura Krzesimir , Greber Katarzyna Ewa , Boguszewska-Czubara Anna , Śliwa Paweł , Kuliś Julia
Published: September 2024

The serotonin 5-HT6 receptor (5-HT6R), expressed almost exclusively in the brain, affects the Cdk5 signaling as well as the mTOR pathway. Due to the association of 5-HT6R signaling with pathways involved in cancer progression, we decided to check the usefulness of 5-HT6R ligands in the treatment of CNS tumors. For this purpose, a new group of low-base 5-HT6R ligands was developed, belonging to arylsulfonamide derivatives of cyclic arylguanidines. The selected group of molecules was also tested for their antiproliferative activity on astrocytoma (1321N1) and glioblastoma (U87MG, LN-229, U-251) cell lines. Some of the molecules were subjected to ADMET tests in vitro, including lipophilicity, drug binding to plasma proteins, affinity for phospholipids, drug–drug interaction (DDI), the penetration of the membrane (PAMPA), metabolic stability, and hepatotoxicity as well as in vivo cardiotoxicity in the Danio rerio model. Two antagonists with an affinity constant Ki < 50 nM (PR 68 Ki = 37 nM) were selected. These compounds were characterized by very high selectivity. An analysis of pharmacokinetic parameters for the lead compound PR 68 confirmed favorable properties for administration, including passive diffusion and acceptable metabolic stability (metabolized in 49%, MLMs). The compound did not exhibit the potential for drug–drug interactions.
Chromogranin B Protects Human Umbilical Endothelial Cells against Oxidative Stress
Authors: Grossini Elena , Venkatesan Sakthipriyan , Ola Pour Mohammad Mostafa , Ferrante Daniela , Surico Daniela , Vaschetto Rosanna , Cantaluppi Vincenzo , Pirisi Mario
Published: September 2024

Chromogranin B (CgB) is involved in the control of the cardiovascular system through the regulation of catecholamine release. Whether CgB can exert direct actions on the endothelium has not yet been clarified. Here, we aimed to investigate the effects of CgB on cell viability, mitochondrial membrane potential, reactive oxygen species (ROS), glutathione (GSH), nitric oxide (NO) release, and the cytosolic calcium concentration ([Ca2+]c) in human vascular endothelial cells (HUVECs) cultured under both physiological and peroxidative conditions. In HUVECs, experiments were conducted to establish the proper concentration and timing of CgB stimulation. Thereafter, specific assays were used to evaluate the response of HUVECs cultured in physiologic or oxidative stress conditions to CgB in the presence or absence of β-adrenergic receptor agonists and antagonists and intracellular pathways blockers. Analysis of cell viability, mitochondrial membrane potential, and NO release revealed that CgB was able to cause increased effects in HUVECs cultured in physiological conditions. Additionally, the same analyses performed in HUVECs cultured with H2O2, showed protective effects exerted by CgB, which was also able to counteract ROS release and maintain GSH levels. Furthermore, CgB played a dual role on the [Ca2+]c depending on the physiological or peroxidative cell culturing conditions. In conclusion, our data provide new information about the direct role of CgB in the physiological regulation of endothelial function and highlight its potential as a protective agent against peroxidative conditions, such as those found in cardiovascular diseases.
Transcriptomic Insights into the Atrial Fibrillation Susceptibility Locus near the MYOZ1 and SYNPO2L Genes
Authors: Wass Sojin Y. , Sun Han , Tchou Gregory , Liu Nana , Van Wagoner David R. , Chung Mina K. , Barnard John , Smith Jonathan D.
Published: September 2024

Genome-wide association studies have identified a locus on chromosome 10q22, where many co-inherited single nucleotide polymorphisms (SNPs) are associated with atrial fibrillation (AF). This study seeks to identify the impact of this locus on gene expression at the transcript isoform level in human left atria and to gain insight into potential causal variants. Bulk RNA sequencing was analyzed to identify myozenin 1 (MYOZ1) and synaptopodin 2-like (SYNPO2L) transcript isoforms and the association of common SNPs in this region with transcript isoform expression levels. Chromatin marks were used to suggest candidate regulatory SNPs in this region. Protein amino acid changes were examined for predicted functional consequences. Transfection of MYOZ1 and two SYNPO2L isoforms were performed to localize their encoded proteins in cardiomyocytes derived from stem cells. We identified one MYOZ1 transcript isoform and four SYNPO2L transcript isoforms, two of which encode proteins, while the other two encode long noncoding RNAs (lncRNAs). The risk allele of the strongest AF susceptibility SNP on chromosome 10q22 is associated with decreased MYOZ1 expression and increased expression of the two SNYPO2L lncRNA isoforms. There are many SNPs co-inherited with the top AF-associated SNP due to linkage disequilibrium (LD), including rs11000728, which we propose as the MYOZ1 regulatory SNP, confirmed by reporter gene transfection. In addition, this LD block includes three missense SNPs in the SYNPO2L gene, with the minor protective haplotype predicted to be detrimental to protein function. MYOZ1 and both protein isoforms of SYNPO2L were localized to the sarcomere. This is a complex locus with the potential for several SNPs in a haplotype to alter AF susceptibility by opposing effects on MYOZ1 and SYNPO2L lncRNA expression, along with effects on SYNPO2L protein function.
Combined Analysis of Transcriptome and Metabolome Provides Insights in Response Mechanism under Heat Stress in Avocado (Persea americana Mill.)
Authors: Zheng Xinyi , Zhu Qing , Liu Yi , Chen Junxiang , Wang Lingxia , Xiu Yu , Zheng Haoyue , Lin Shanzhi , Ling Peng , Tang Minqiang
Published: September 2024

Plants generate a range of physiological and molecular responses to sustain their growth and development when suffering heat stress. Avocado is a type of tropical fruit tree with high economic value. Most avocado cultivars delete, wither, or even die when exposed to heat stress for a long time, which seriously restricts the introduction and cultivation of avocados. In this study, samples of a heat-intolerant variety (‘Hass’) were treated under heat stress, and the transcriptomics and metabolomics were analyzed, with the expectation of providing information on the variety improvement and domestication of avocados. The differentially expressed genes identified using transcriptome analysis mainly involved metabolic pathways such as plant hormone signal transduction, plant–pathogen interaction, and protein processing in the endoplasmic reticulum. Combined transcriptome and metabolome analysis indicated that the down-regulation of Hass.g03.10206 and Hass.g03.10205 in heat shock-like proteins may result in the reduced Trehalose and Sinapoyl aldehyde content. Metabolomics analysis results indicated that the decrease in Trehalose and Sinapoyl aldehyde content may be an important factor for heat intolerance. These results provide important clues for understanding the physiological mechanisms of adaptation to heat stress in avocados.
An Overview of Bioactive Compounds’ Role in Modulating the Nrf2/Keap1/NF-κB Pathway to Alleviate Lipopolysaccharide-Induced Endometritis
Authors: Khan Muhammad Zahoor , Chen Wenting , Liu Xiaotong , Kou Xiyan , Khan Adnan , Khan Rahat Ullah , Zahoor Muhammad , Wang Changfa
Published: September 2024

Endometritis is a common inflammatory condition of the uterine endometrial lining that primarily affects perinatal dairy animals and causes significant economic losses in agriculture. It is usually triggered by pathogenic bacteria and is associated with chronic postpartum reproductive tract infections. Bacterial lipopolysaccharides (LPSs) are known to increase levels of reactive oxygen species (ROS), leading to oxidative stress and inflammation through the activation of the NF-κB signaling pathway and the inhibition of Nrf2 nuclear translocation, which regulates antioxidant response elements (AREs). The effectiveness of the conventional management strategy involving antibiotics is decreasing due to resistance and residual concerns. This review explores the potential therapeutic benefits of targeting the Nrf2/Kelch-like ECH-associated protein 1 (Keap1)/NF-κB signaling pathway to alleviate LPS-induced endometritis. We discuss recent advancements in veterinary medicine that utilize exogenous antioxidants to modulate these pathways, thereby reducing oxidative stress and inflammatory responses in endometrial cells. This review highlights the efficacy of several bioactive compounds that enhance Nrf2 signaling and suppress NF-κB activation, offering protective effects against oxidative damage and inflammation. By examining various in vitro studies, this review emphasizes the emerging role of these signaling pathways in developing new therapeutic strategies that could potentially replace or supplement traditional treatments and mitigate the economic impacts of endometritis in livestock.
Predisposition to Mass Movements on Railway Slopes: Insights from Field Data on Geotechnical and Pluviometric Influences
Authors: Campos Priscila Celebrini de Oliveira , Rosa Diego Leonardo , Marques Maria Esther Soares , Paz Igor
Published: September 2024

Monitoring natural slopes, embankments, and unstable slopes is crucial to reducing predisposition to mass movements, especially in areas with geotechnical instability and high rainfall. This study proposes a methodology to identify geotechnical and pluviometric triggers of mass movements in railway slopes. It involves registering slopes and embankments along the railroad, recording accumulated rainfall indices, and documenting associated accidents. The experimental program included a cadastral survey at a pilot site on the MRS company’s railway network in the Paraopeba branch, Minas Gerais, Brazil. Surface and subsurface drainage conditions, anthropic interventions, and modifications affecting slope stability were also examined. Additionally, the history of accidents involving geotechnical and regional rainfall indices were incorporated to identify potential triggering events for mass movements. The study found a good correlation between landslide records and geotechnical risk mapping but a low correlation between landslide records and rainfall isohyets. The latter result is attributed to the low density and poor distribution of rainfall data and active pluviometers in the region. Overall, understanding the geological–geotechnical characteristics of slopes and the correlation between accidents and rainfall indices provides valuable insights for predicting potential landslide occurrences.
Advances in Steel and Composite Steel—Concrete Bridges and Buildings
Authors: Bonopera Marco
Published: September 2024

Construction steel has widely been used worldwide for developing infrastructure, e [...]