bluuebunny/crossref_metadata_2025_split huggingface dataset:
Opinions of Iranian dietitians on virtual nutritional consulting on the Instagram platform: a descriptive, cross-sectional study
Authors: al-hoseini Mojtaba Khadem , Lotfi Mostafa , Mohammadi Farzaneh , Ferns Gordon A , Akbarzadeh Marzieh 
Published: June 2023

Abstract
Background: The use of social media for obtaining health care advice has become more popular. There has been an expansion of the virtual environment by dietitians, the present study aimed to evaluate the opinions of Iranian dietitians on virtual nutritional counseling on the Instagram platform.
Methods: The present descriptive, cross-sectional study recruited Iranian dietitians working in the field of nutrition counseling using Instagram. Participants were found through an extensive search with relevant keywords on Instagram. After identifying dietitians, an online questionnaire was made including questions on their activity in virtual counseling on Instagram and the challenges of virtual counseling. The link to the online questionnaire was sent to the participants. Descriptive statistics were used to analyze and interpret the data.
Results: In this descriptive online survey, out of 163 eligible dietitians, 131 participated in the study. The average age of the participants was 30.8±6.7 years, of which 87.8% were women. Based on the results, 47.3% of the dietitians started virtual nutrition counseling during the COVID-19 pandemic and 35.2% stated that the number of their virtual clients increased during this pandemic. Also, 58.8% of dietitians believed that concepts are better transferred in face-to-face nutrition counseling compared to virtual counseling. Besides, 43.5% of counselors reported that the results in face-to-face counseling had higher efficacy. According to the participants, the most practical method for nutrition counseling on virtual platforms was using text and voice messaging, and the most common topic of virtual nutrition counseling was related to weight loss.
Conclusion: Virtual nutritional counseling has expanded during the COVID-19 pandemic. Compared to face-to-face counseling, virtual counseling has limitations in the concept of transferring and yielding results.
Impact of IoT-Enabled Variable Irrigation and Fertigation Rates on the Growth, Yield, and Economics of Grand Nain Bananas
Authors: Salimath Mahesh , Kaliannan Nirmal , Prabhakar Varun , Iyyakutty Ravi , J Jeyabaskaran K 
Published: June 2023

Abstract
Bananas is the largest global production of all fruit crops and continue to play a key role in the economies of many developing countries. Banana cultivation is resource-intensive, consuming a lot of water and fertilizer. IoT-enabled precision farming has the potential to improve Grand Nain productivity by reducing input usage while still maintaining its economic viability as a cash crop. In this regard, there is a need to develop a banana cultivation package of practice that leverages the efficiencies gained by adopting IoT and sensor technologies to automate irrigation. This study aims to determine the most suitable irrigation and NPK fertigation strategy to minimize input use while maximizing profitability. This study includes three variable irrigation treatments based on soil water potential thresholds (-50, -100, -150 kPa) and three fertigation treatments (50%, 75%, 100% RDF) along with a control strategy that is based on the ICAR-NRCB recommended irrigation and 100% RDF fertigation schedules. The strategy with the − 50 kPa irrigation treatment and the 50% RDF of NPK fertigation treatment (I3F3) consumed 73% less water and 50% less NPK fertilizer, resulting in 12% less yield compared to the control strategy. However, the benefit-to-cost ratio of the I3F3 strategy was 1.61 versus the control strategy at 1.49. In the current agricultural paradigm, where soil degradation, water scarcity, and volatile market prices are impacting farmers' livelihoods, the I3F3 strategy ensures a more consistently profitable approach while significantly reducing water and NPK fertilizer usage, resulting in lower economic risks to farmers.
Circadian vital sign characteristics in postoperative patients with and without subsequent complications
Authors: Mølgaard Jesper , Mayer Leon , Rasmussen Søren Straarup , Haahr-Raunkjaer Camilla , Achiam Michael Patrick , Jørgensen Lars Nannestad , Meyhoff Christian Sylvest , Aasvang Eske Kvanner 
Published: June 2023

Abstract

Background
Although vital signs have a well-described 24-hour cyclic variation (circadian rhythm), this variation is often not considered in clinical vital sign monitoring despite being influenced by physiologic stress from complications. We aimed to analyse if circadian vital signs variations could identify patients at risk for Serious Adverse Events (SAE).
Methods
This was an analysis of prospectively collected, continuously monitored vital sign data (heart rate (HR), respiration rate, oxygen saturation and blood pressure) for up to 5 days after major surgery. The primary outcome was any SAE that occurred up to 24 hours after a circadian value calculation. The primary analysis was the lowest (nadir) HR at night (NN-HR). We also analysed manually collected vital signs according to National Early Warning Score (NEWS) thresholds.
Results
Of 590 patients, 461 (78%) were eligible for analysis. Ninety-nine (21.5%) patients developed SAE. The NN-HR was significantly higher in patients with impending SAE (median 70.8 min− 1 [IQR 65.9–78.1] vs 65.4 [IQR 58-73.5], p < 0.01). Discrimination based on NN-HR of > 65.8 min− 1 had sensitivity / specificity of 75.7% / 51.0%, with a resulting risk ratio of 3.04 (99% confidence interval (CI) 1.51–6.13) for subsequent SAE. Early warning scores of ≥ 6 at night yielded a RR of 4.02 (99% CI 1.87–8.61).
Conclusions
Circadian analyses of vital signs can help to identify patients at risk for SAE after major surgery. The clinical utility of circadian vital sign monitoring in SAE prevention should be explored prospectively.
Statistical impact of the cadmium forms on element content in cocoa bean in Colombia
Authors: Albarracín Heidy Soledad Rodríguez , Darghan Aquiles Enrique , Moreno Carlos Armando Rivera 
Published: June 2023

AbstractCocoa is a staple crop for small farmers, has been promoted as an alternative crop toErythroxylum coca. Some soils in the Colombian cocoa zone seem to accumulate high levels of Cd in the beans. To comprehend the relationship between different Cd forms and their phytoavailability in the beans, cocoa-producing farms were sampled located in Yacopi municipality using sequential extraction methods to estimate the forms of Cd present in the soil, its phytoavailability and leaching potential. The exchangeable fractions, carbonate, manganese oxide, organic matter, amorphous iron oxide, crystalline iron oxide and residual fraction were determined. It was observed that the highest Cd concentrations were found in the organic matter, carbonate, Mn oxides and amorphous Fe phases, and the lowest in the exchangeable, crystalline Fe oxide and residual fractions. It was obtained through spatial regression that the Cd fractions that explain the Cd contents in beans correspond to the exchangeable ones, associated with manganese oxides, organic matter, crystalline iron oxides and residual fraction, which were fitted to a spatial error model. Modeling indicated that direct and positive impacts of the Cd content in the bean with the exchangeable and residual fractions, and negative impacts with the organic matter and manganese oxides fractions, which shows that these forms are retained in the colloidal phase and are not translocated to the bean, so that variations in the content of these fractions could contribute to a reduction in the Cd content in the bean.
Dynamics of microbial community composition on grass surfaces in response to glucose and sucrose spraying for enhanced silage quality
Authors: Chen Xinzhu , Zhang Yao , Zhang Jianguo , Huang Xiusheng , Huang Qinlou , Liu Jing , Yue Wen 
Published: June 2023

Abstract
This study was to investigate the effects of glucose and sucrose spraying on the microbial community on the surface of Italian ryegrass (Lolium multiflorum) and alfalfa (Medicago sativa)，and thereby provide a theoretical foundation for the preparation of high-quality silage. To assess the changes in microbial profile, 16S rRNA amplicon sequencing technology was employed. Results showed that a total of eighty-oneoperational taxonomic units (OTUs), encompassing four phyla, eight classes, fifteen orders, twenty-one families, and thirty-one genera, colonized the surface of Italian ryegrass and alfalfa. At the phylum level, both plant materials were abundant in Proteobacteria(Italian ryegrass 87.73% and alfalfa 95.28%) and Bacteroidetes (Itlian ryegrass 10.22% and alfalfa 2.23%). At the genus level, Italian ryegrass was enriched with Methylobacterium (22.83%), Pseudomonas (16.32%), Rhizobium (13.12%), and Sphingomonas (12.63%), whereas alfalfa mainly included Pseudomonas (23.14%), Brucella (17.24%), and Methylobacterium (15.10%). Sucrose spraying enriched Sphingomonas and Xanthomonas in Italian ryegrass, while glucose spraying increased the abundance of Rhizobium and Pedobacterin Italian ryegrass. In alfalfa, Duganella and Erwinia were enriched by sucrose spraying. Overall, glucose and sucrose spraying led to change microorganism alpha diversity and a significant LefSe difference. Furthermore, statistical variations in microorganisms were observed within seven days after spraying sucrose and glucose, and the changes varied across the grasses.
Significance and Impact of Study: Microorganisms are very important for silage fermentation. This study reported the effects of spraying different sugars on the quantity and distribution of microorganisms on grass surface.
The News Delivery Channel Recommendation Based on Granular Neural Network
Authors: Wu Lin , Li Rui , Liu Jiaxuan 
Published: June 2023

Abstract
With the continuous maturation and expansion of neural network technology, deep neural networks have been widely utilized as the fundamental building blocks of deep learning in a variety of applications, including speech recognition, machine translation, image processing, and the creation of recommendation systems. Therefore, many re-al-world complex problems can be solved by the deep learning techniques. As is known, traditional news recommendation systems mostly employ techniques based on collaborative filtering and deep learning, but the performance of these algorithms is constrained by the sparsity of the data and the scalability of the approaches. In this paper, we propose a recommendation model using granular neural network model to recommend news to appropriate channels by analyzing the properties of news. Specifically, a specified neural network serves as the foundation for the granular neural network that the model is considered to be build. Different information granularities are attributed to various types of news material, and different information granularities are released between networks in various ways. When processing data, granular output is created, which is compared to the interval values pre-set on various plat-forms and used to quantify the analysis's effectiveness. The analysis results could help the media to match the proper news in depth, maximize the public attention of the news and the utilization of media resources.
NamiRNA-mediated high expression of KNSTRN correlates with poor prognosis and tumor immune infiltration of hepatocellular carcinoma
Authors: Jin Liang , Zhang Xiaojing , Fan Ming , Li Weimin , Lai Quanyou , Peng Wei , Zhang Xuan 
Published: June 2023

AbstractBackground Kinetochore localized astrin/SPAG5 binding protein (KNSTRN) plays an important molecular in cell division. Mutations of KNSTRN can interfere with chromatid cohesion, increase aneuploidy in tumors, enhancing tumorigenesis. Additionally, the concept of nuclear activating miRNA (NamiRNA) has been proposed with encouraging results. However, the role of KNSTRN in Hepatocellular Carcinoma (HCC) remains not fully determined, and the underlying molecular mechanisms of this differential regulation of KNSTRN by a NamiRNA are also unclear in HCC. Methods Based on Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, we first investigated the potential oncogenic functions of KNSTRN and a potential NamiRNA Using R and various computational tools in HCC. Results Detailed results revealed that elevated expression of KNSTRN was considerably associated with bad overall survival (HR = 1.48, 95%CI 1.05–2.09, P = 0.027) and progress free interval (HR = 1.41, 95%CI 1.05–1.89, P = 0.021) in HCC. GO/KEGG functional enrichment analysis showed that KNSTRN is closely related to organelle fission, chromosomal region, tubulin binding, and cell cycle signaling pathway. TIMER databases analysis showed the correlations between KNSTRN expression and tumor-infiltrating immune cells, biomarkers of immune cells and immune checkpoint expression. Moreover, KNSTRN level was significantly positively associated with immunosuppressive cell in tumor microenvironment (TME), including regulatory T cells (Tregs), myeloid derived suppressor cells (MDSCs), and cancer-associated fibrocytes (CAFs). Further, hsa-miR-107 is determined as a potential Nuclear activating miRNA (NamiRNA) by correlation analysis. High expression of hsa-miR-107 is negatively correlated with disease specific survival (HR = 0.62, 95%CI 0.4–0.98, P = 0.04) in patients with HCC by targeting the oncogene, KNSTRN. Finally, a possible NamiRNA-enhancer network of hsa-miR-107 activates the KNSTRN expression in LIHC were constructed. Conclusion The hsa-miR-107-mediated upregulation of KNSTRN correlated with poor prognosis and tumor immune infiltration in HCC.
Relationship Between Fear of Falling and Quality of Life in Nursing Home Residents: The Role of Activity Restriction
Authors: Xu Dongjuan , Wang Yaqi , Zhu Shanshan , Zhao Meng , Wang Kefang 
Published: June 2023

Abstract
(1) Background: Fear of falling is the most common psychological consequence related to falls and is very prevalent among older adults. This study investigates the mediating role of activity restriction in the relationship between the fear of falling and health outcomes;
(2) Methods: This cross-sectional study was conducted from March to June 2018. Generalized structural equation modeling was conducted to test the mediating role of activity restriction;
(3) Results: Residents with fear of falling were more likely to restrict their activities and residents who often or always restricted activities reported lower levels of quality of life and higher levels of depression. Severe activity restriction accounted for 75% of the total effect of fear of falling on quality of life and 69% of the total effect of fear of falling on depression, respectively;
(4) Conclusions: Fall prevention efforts in nursing homes should focus on strategies or interventions to reduce residents’ excessive fear of falling and promote activity engagement. Physical and social activities will not only prevent future falls but also improve residents' quality of life and mental health.
Prevalence of adolescent-reported food insecurity and the determinants including coping strategies living in urban slum communities of Bangladesh: A cross-sectional study
Authors: Yasmin SM Taniya , Yasmin SM Taslima , Sultan Sarah , Hong Seo Ah 
Published: June 2023

Abstract

Background This study aimed to identify the prevalence of adolescent-reported food insecurity and its association with individual and socio-environmental factors as well as coping strategies from low to middle income countries like Bangladesh. Methods A descriptive cross sectional study was conducted amongst 326 adolescents (12–18 years) living in the urban slums of Narayanganj, Dhaka from April to May, 2022. Adolescent-reported food insecurity was assessed using a structured questionnaire adopted from Household Food Insecurity Access Scale (HFIAS). Descriptive statistics, Chi-square tests and ordinal logistic regression were used to draw inference. Results Prevalence of adolescent-reported food insecurity was high (46.6% moderate and 29.8% severe). Individual factors such as younger age (12–14 years) (Adjusted Odds ratio (AOR) = 1.658), lower education (AOR = 1.525), unemployment (AOR = 5.365) and socio-environmental factors such as five or more family members (AOR = 1.734), female household head (AOR = 4.728) and low education of household head (AOR = 4.232), only one earning family member (AOR = 2.693), unemployed father (AOR = 2.988), neither self-owned nor rented household (AOR = 4.973), no household asset owned (AOR = 39.653), food aid received by the family during pandemic (AOR = 2.561) and Coronavirus 19 (COVID-19) infection in family (AOR = 4.697) and coping strategy factors such as higher number of food seeking strategies (AOR = 3.353) and substances used (AOR = 6.186) and stopping school (AOR = 3.300) were strongly associated with food insecurity. Stratified by drop-out of school status, an association between food seeking strategies and food insecurity remained significant among those school-going, while there was no association among those dropping out of school. Conclusion This study showed that adolescents from underprivileged communities are at very high risk of food insecurity and resort to harmful coping strategies, which raises concern about their physical and mental health in the long run. Therefore, our findings support the recommendation that it is crucial to understand adolescent reported food insecurity and coping strategies to assess adolescent wellbeing in low to middle income countries (LMICs).
A cross-cohort computational framework to trace tumor tissue-of-origin based on RNA sequencing
Authors: He Binsheng , Sun Hongmei , Bao Meihua , Li Haigang , He Jianjun , Tian Geng , Wang Bo 
Published: June 2023

Abstract
Carcinoma of unknown primary (CUP) is a type of metastatic cancer with tissue-of-origin (TOO) unidentifiable by traditional methods. CUP patients typically have poor prognosis but therapy targeting the original cancer tissue can significantly improve patients’ prognosis. Thus, it’s critical to develop accurate computational methods to infer cancer TOO. While qPCR or microarray-based methods are effective in inferring TOO for most cancer types, the overall prediction accuracy is yet to be improved. In this study, we propose a cross-cohort computational framework to trace TOO of 32 cancer types based on RNA sequencing (RNA-seq). Specifically, we employed logistic regression models to select 80 genes for each cancer type to create a combined 1356-gene set, based on transcriptomic data from 9911 tissue samples covering the 32 cancer types with known TOO from the Cancer Genome Atlas (TCGA). The selected genes are enriched in both tissue-specific and tissue-general functions. The cross-validation accuracy of our framework reaches 97.50% across all cancer types. Furthermore, we tested the performance of our model on the TCGA metastatic dataset and International Cancer Genome Consortium (ICGC) dataset, achieving an accuracy of 91.09% and 82.67%, respectively, despite the differences in experiment procedures and pipelines. In conclusion, we developed an accurate yet robust computational framework for identifying TOO, which holds promise for clinical applications.
Adaptive traits of cysts of the snow alga Sanguina nivaloides unveiled by 3D subcellular imaging
Authors: Marechal Eric , Ezzedine Jade , Uwizeye Clarisse , Larbi Gregory Si , Villain Gaelle , Louwagie Mathilde , Schilling Marion , Hagenmuller Pascal , Gallet Benoit , Stewart Adeline , Petroutsos Dimitris , Devime Fabienne , Salze Pascal , Liger Lucie , Jouhet Juliette , Dumont Marie , Ravanel Stéphane , Amato Alberto , Valay Jean-Gabriel , Jouneau Pierre-Henri , Falconet Denis 
Published: June 2023

Abstract
Sanguina nivaloides is the main alga forming red snowfields in high mountains and Polar Regions. It is non-cultivable. Analysis of environmental samples by X-ray tomography, focused-ion-beam scanning-electron-microscopy, physicochemical and physiological characterization reveal adaptive traits accounting for algal capacity to reside in snow. Cysts populate liquid water at the periphery of ice, are photosynthetically active, can survive for months, and are sensitive to freezing. They harbour a wrinkled plasma membrane expanding the interface with environment. Ionomic analysis supports a cell efflux of K+, and assimilation of phosphorus. Glycerolipidomic analysis confirms a phosphate limitation. The chloroplast contains thylakoids oriented in all directions, fixes carbon in a central pyrenoid and produces starch in peripheral protuberances. Analysis of cells stored in the dark show that starch is a short-term carbon storage. The biogenesis of cytosolic droplets shows that they are loaded with triacylglycerol and carotenoids for long-term carbon storage and protection against oxidative stress.
Chromosomal Aberration Analysis: Novel Noninvasive Techniques for Early Stage Cancer Screening A hypothesis for cancer screening
Authors: Liu Gang 
Published: June 2023

Abstract
Objective:
Chromosome breakage is a catastrophic event that leads to the progressive development and progression of cancer. To analyze the changes of the peripheral blood microenvironment of tumor patients and explore the indicators of non-specific non-invasive tumor early screening and proposed a new idea to explore whether the gene sequence near the break point of DNA damage is the gene sequence that controls the unrestricted growth of normal cells.
Methods:
The chromosomal aberrations of peripheral blood lymphocytes were analyzed in 60 normal subjects and 49 patients with tumor before radiotherapy.
Results:
The detection rate of chromosome aberration was high in tumor patients, and "Dicentric + Translocations” of Chromosomes were detected in 36 patients (73.47%). Chi-square test showed statistically significant differences (P <0.01), and chromosome adhesion and dissolution were observed.
Conclusions:
"Dicentric + Translocation” of chromosome can be used as non-specific early screening indicator for cancer. It is worthy of further study.
A new idea to a new concept that FISH (fluorescence in situ hybridization) technique was applied to explore whether the gene sequence near the breakpoint of dicentric chromosome is the gene sequence that controls the unrestricted growth of normal cells, whether this gene controls the unrestricted growth of normal cells to form tumors, using this index to determine the genetic basis of various cancers, at the gene level to modify the base sequence, prevent the occurrence of cancer. It is worthy of further study, and it can provides a new way for gene therapy of tumor.