bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of a novel algicidal bacteria Arenibacter sp. strain 6A1 and its application to eliminate harmful algal blooms
Authors: Wu Sha , Tong Jing , Chen Jiahuan , Chen Minchun , Wang Liyan , Li Shuangfei , Hu Zhangli , Chen Huirong 
Published: January 2024

Hazardous impacts caused by harmful algal blooms (HABs) have facilitated the development of novel effective approaches for controlling the frequent HABs. Recently, bacteria with algicidal effects, as a promising alternative tool for eliminating the HABs-forming species have received wide concerns. In the present study, a marine bacterial strain 6A1 with potent algicidal activity was successfully isolated from a bloom of Akashiwo sanguinea, and the characteristics related to its algicidal action were systematically investigated. Sequencing results of 16S rDNA suggested that this bacterium belongs to the genus Arenibacter in the family Flavobacteriaceae, while the phylogenetic analysis revealed that Arenibacter sp. strain 6A1 was the only algicidal bacterium in Arenibacter to date, according to the best of our knowledge. Arenibacter sp. strain 6A1 had an extraordinarily high algicidal performance when it was added to A. sanguinea culture with a volume fraction of 1.5% for 2 h. The algicidal performance of strain 6A1 was concentration-dependent and time-dependent. The best algicidal efficacy of strain 6A1 was seen during the stationary phase, while the resistance of A. sanguinea to strain 6A1 declined as the growth cycle progressed. Subsequently, the indirect algicidal mode of Arenibacter sp. strain 6A1 was verified and the algicidal compounds produced by strain 6A1 were proved to be heat-resistant. Further research showed that strain 6A1 caused a severe damage in photosynthesis, oxidative stress, and also damage in three HABs-forming algae to varying degrees. The greatest algicidal performance was found on unarmored dinoflagellate A. sanguinea, followed by raphidophyte Chattonella antiqua and armored dinoflagellate Alexandrium tamarense. The Arenibacter sp. strain 6A1 exhibited selective algicidal activity on a wide range of algal species, primarily targeting Pyrrophyta and Ochrophyta. The proposed bacteria (strain 6A1) can be a powerful and eco-friendly tool for emergency treatment of HABs caused by certain algal species in coastal water bodies.
Digital health for remote home monitoring of patients with COVID-19 requiring oxygen: a cohort study and literature review
Authors: Chaytee Johann , Dinh Aurélien , D’Anglejan Emma , Bouchand Frédérique , Jaffal Karim , Duran Clara , Le Gall Catherine 
Published: January 2024

BackgroundThe clinical course and outcome of COVID-19 vary widely, from asymptomatic and mild to critical. Elderly patients and patients with comorbidities are at increased risk of respiratory failure and oxygen requirements. Due to the massive surge, the pandemic has created challenges for overwhelmed hospitals. Thus, the original home management of COVID-19 patients requiring oxygen and remote monitoring by a web app and a nurse at home were implemented in our center. We aimed to evaluate the outcome of patients with COVID-19 requiring oxygen who benefited from home remote monitoring management.MethodsWe performed a retrospective cohort study on all COVID-19 patients requiring oxygen (&lt; 5 L/min) who consulted from October 2020 to April 2021 at our emergency department and were managed with home remote monitoring by a web app and an in-home nurse. We also carried out a literature review of studies on COVID-19 patients requiring oxygen with remote monitoring.ResultsWe included 300 patients [184 (61.3%) male patients, median age 51 years]. The main comorbidities were cardiovascular disease (n = 117; 39.0%), diabetes mellitus (n = 72; 24.0%), and chronic respiratory disease (n = 32; 10.7%). Among the 28 (9.3%) patients readmitted to the hospital, 6 (1.9%) were hospitalized in the intensive care unit, and 3 (0.9%) died. In the multivariable analysis, risk factors for unplanned hospitalization were chronic respiratory failure (odds ratio (OR) =4.476, 95%CI 1.565–12.80), immunosuppression (OR = 3.736, 95%CI 1.208–11.552), and short delay between symptoms onset and start of telemonitoring (OR = 0.744, 95%CI 0.653–0.847). In the literature review, we identified seven other experiences of remote monitoring management. Mortality rate and unplanned hospitalization were low (maximum 1.9 and 12%, respectively).ConclusionOur study confirms the safety of home remote monitoring of patients with COVID-19 who require oxygen, as well as our literature review. However, patients with chronic respiratory failure and immunosuppression should be closely monitored.
Nutritional assessment and dietary intervention among survivors of childhood cancer: current landscape and a look to the future
Authors: Feit Talia , Beals Elizabeth , Dandekar Smita , Kadan-Lottick Nina , Joffe Lenat 
Published: January 2024

Over 85% of childhood cancer patients become long-term survivors. Still, cancer and its therapies are associated with a myriad of long-term complications such that childhood cancer survivors (CCS) endure excess disease burden, morbidity, and mortality throughout their lifetimes. Existing literature suggests that CCS maintain poor dietary intake and nutritional status. Thus, as childhood cancer cure rates continue to improve, the role of diet and nutrition in mitigating many of the most common adverse long-term health outcomes among CCS has gained significant interest. Herein we present an in-depth review of existing scientific literature evaluating dietary intake and nutrition status among CCS and its impact on treatment-related health complications; as well as contemporary intervention strategies aimed at overcoming distinctive barriers and improving deleterious lifestyle behaviors in this heterogeneous, at-risk population. Patient-specific, clinical, and systemic factors act as barriers to the timely conduct of comprehensive dietary/nutritional assessments and provision of tailored, risk-based recommendations. This Mini Review discusses the current state of the science, persisting research gaps, and opportunities for advancement of assessment and intervention strategies to address the unique needs of CCS.Search Strategy: We searched PubMed for peer-reviewed articles with the search terms “pediatric cancer,” “pediatric malignancy,” “pediatric oncology,” “childhood cancer,” “survivorship,” “cancer late effects,” “long-term follow-up,” “body mass index,” “nutritional status,” “malnutrition,” “body weight,” “body weight changes,” “body composition,” “obesity,” “overweight “, “Mediterranean diet,” “DASH diet,” “processed foods,” “micronutrients,” “antioxidants,” “vitamin D,” “calcium,” “selenium,” “zinc,” “metabolic syndrome,” “heart disease,” “cardiovascular disease,” “cardiometabolic disease,” “hypertension,” “hyperlipidemia,” “HDL,” “LDL,” and “small dense LDL” from January 1, 1995, to July 21, 2023. We also selected relevant articles from our personal files and from reference lists of identified papers. We prioritized publications after 2013; however, commonly cited and highly regarded (defined by high citation count and journal impact factor) older publications were also included. Randomized controlled trials, observational studies, retrospective studies, meta-analysis, editorials, and review articles were included, whereas conference abstracts and case reports were excluded. We only searched for articles published in English, or those translated into English.
Does perinatal management have the potential to reduce the risk of intraventricular hemorrhage in preterm infants?
Authors: Korček Peter , Širc Jan , Berka Ivan , Kučera Jáchym , Straňák Zbyněk 
Published: January 2024

BackgroundIntraventricular hemorrhage (IVH) is an important cause of neurodevelopmental impairment in preterm infants. A number of risk factors for IVH have already been proposed; however, some controversies regarding optimal perinatal management persist. This study aimed to identify perinatal and neonatal attributes associated with IVH in a representative population of preterm infants.MethodsPerinatal data on 1,279 very preterm infants (&lt;32 weeks of gestation) admitted to a tertiary neonatal intensive care unit were analyzed. The records were assessed using univariate analysis and logistic regression model to evaluate the risk factors for any and high–grade IVH (grade III–IV according to the classification by Papile) within the first week after birth.ResultsThe incidence of any IVH was 14.3% (183/1,279); the rate of low–grade (I–II) and high–grade (III–IV) IVH was 9.0% (115/1,279) and 5.3% (68/1,279), respectively. Univariate analysis revealed multiple factors significantly associated with intraventricular hemorrhage: lower gestational age and birth weight, absence of antenatal steroids, vaginal delivery, low Apgar score at 5 min, delivery room intubation, surfactant administration, high frequency oscillation, pulmonary hypertension, pulmonary hemorrhage, tension pneumothorax, persistent ductus arteriosus, hypotension and early onset sepsis. Logistic regression confirmed lower gestational age, vaginal delivery, ductus arteriosus and early onset sepsis to be independent predictors for any IVH. Pulmonary hemorrhage, tension pneumothorax and early onset sepsis were independent risk factors for high–grade IVH. Complete course of antenatal steroids was associated with a lower risk for any (odds ratio 0.58, 95% confidence interval 0.39–0.85; P = .006) and for high–grade intraventricular hemorrhage (odds ratio 0.36, 95% confidence interval 0.20–0.65; P &lt; .001).ConclusionThe use of antenatal steroids and mode of delivery are crucial in the prevention of IVH; however, our study did not confirm the protective effect of placental transfusion. Severe respiratory insufficiency and circulatory instability remain to be powerful contributors to the development of IVH. Early detection and management of perinatal infection may also help to reduce the rate of brain injury and improve neurodevelopment in high–risk newborns.
Racial disparities in metastatic colorectal cancer outcomes revealed by tumor microbiome and transcriptome analysis with bevacizumab treatment
Authors: Feng Lei , Wang Rui , Zhao Qian , Wang Jun , Luo Gang , Xu Chongwen 
Published: January 2024

Background: Metastatic colorectal cancer (mCRC) is a heterogeneous disease, often associated with poor outcomes and resistance to therapies. The racial variations in the molecular and microbiological profiles of mCRC patients, however, remain under-explored.Methods: Using RNA-SEQ data, we extracted and analyzed actively transcribing microbiota within the tumor milieu, ensuring that the identified bacteria were not merely transient inhabitants but engaged in the tumor ecosystem. Also, we independently acquired samples from 12 mCRC patients, specifically, 6 White individuals and 6 of Black or African American descent. These samples underwent 16S rRNA sequencing.Results: Our study revealed notable racial disparities in the molecular signatures and microbiota profiles of mCRC patients. The intersection of these data showcased the potential modulating effects of specific bacteria on gene expression. Particularly, the bacteria Helicobacter cinaedi and Sphingobium herbicidovorans emerged as significant influencers, with strong correlations to the genes SELENBP1 and SNORA38, respectively.Discussion: These findings underscore the intricate interplay between host genomics and actively transcribing tumor microbiota in mCRC’s pathogenesis. The identified correlations between specific bacteria and genes highlight potential avenues for targeted therapies and a more personalized therapeutic approach.
A real-world disproportionality analysis of mesalazine data mining of the public version of FDA adverse event reporting system
Authors: Liu Mingdi , Gu Liting , Zhang Yuning , Zhou Honglan , Wang Yishu , Xu Zhi-Xiang 
Published: January 2024

Background: Mesalazine, a preparation of 5-aminosalicylic acid, is a medication widely used in clinical practice as a first-line therapy in the treatment of mild and moderate inflammatory bowel disease. However, the long-term safety of mesalazine in large sample population was unknown. The current study was to assess mesalazine -related adverse events of real-world through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS).Methods: Disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio the Bayesian confidence propagation neural network and the multi-item gamma Poisson shrinker (MGPS) algorithms were employed to quantify the signals of mesalazine -associated AEs.Results: Out of 14,149,980 reports collected from the FDA Adverse Event Reporting System database, 24,284 reports of mesalazine -associated AEs were identified. A total of 170 significant disproportionality preferred terms conforming to the four algorithms simultaneously were retained. The most common AEs included colitis ulcerative, diarrhoea, condition aggravated, crohn’s disease, fatigue, abdominal pain, nausea, haematochezia, which were corresponding to those reported in the specification and clinical trials. Unexpected significant AEs as dizziness, drug ineffective, drug hypersensitivity, infection, off label use, weight decreased, decreased appetite, arthralgia, rash might also occur. The median onset time of mesalazine -related AEs was 1,127 days (interquartile range [IQR] 1,127–1,674 days), and most of the cases occurred 2 years later (n = 610, 70.93%) and within the first 1 month (n = 89, 10.35%) after mesalazine initiation.Conclusion: Results of our study were consistent with clinical observations. We also found potential new and unexpected AEs signals for mesalazine, suggesting prospective clinical studies were needed to confirm these results and illustrate their relationship. Our results could provide valuable evidence for further safety studies of mesalazine.
Deep learning-based predictive model for pathological complete response to neoadjuvant chemotherapy in breast cancer from biopsy pathological images: a multicenter study
Authors: Zeng Huancheng , Qiu Siqi , Zhuang Shuxin , Wei Xiaolong , Wu Jundong , Zhang Ranze , Chen Kai , Wu Zhiyong , Zhuang Zhemin 
Published: January 2024

Introduction: Early predictive pathological complete response (pCR) is beneficial for optimizing neoadjuvant chemotherapy (NAC) strategies for breast cancer. The hematoxylin and eosin (HE)-stained slices of biopsy tissues contain a large amount of information on tumor epithelial cells and stromal. The fusion of pathological image features and clinicopathological features is expected to build a model to predict pCR of NAC in breast cancer.Methods: We retrospectively collected a total of 440 breast cancer patients from three hospitals who underwent NAC. HE-stained slices of biopsy tissues were scanned to form whole-slide images (WSIs), and pathological images of representative regions of interest (ROI) of each WSI were selected at different magnifications. Based on several different deep learning models, we propose a novel feature extraction method on pathological images with different magnifications. Further, fused with clinicopathological features, a multimodal breast cancer NAC pCR prediction model based on a support vector machine (SVM) classifier was developed and validated with two additional validation cohorts (VCs).Results: Through experimental validation of several different deep learning models, we found that the breast cancer pCR prediction model based on the SVM classifier, which uses the VGG16 model for feature extraction of pathological images at ×20 magnification, has the best prediction efficacy. The area under the curve (AUC) of deep learning pathological model (DPM) were 0.79, 0.73, and 0.71 for TC, VC1, and VC2, respectively, all of which exceeded 0.70. The AUCs of clinical model (CM), a clinical prediction model established by using clinicopathological features, were 0.79 for TC, 0.73 for VC1, and 0.71 for VC2, respectively. The multimodal deep learning clinicopathological model (DPCM) established by fusing pathological images and clinicopathological features improved the AUC of TC from 0.79 to 0.84. The AUC of VC2 improved from 0.71 to 0.78.Conclusion: Our study reveals that pathological images of HE-stained slices of pre-NAC biopsy tissues can be used to build a pCR prediction model. Combining pathological images and clinicopathological features can further enhance the predictive efficacy of the model.
Phylogenetic and functional analysis of tiller angle control homeologs in allotetraploid cotton
Authors: Kangben Foster , Kumar Sonika , Li Zhigang , Sreedasyam Avinash , Dardick Chris , Jones Don , Saski Christopher A. 
Published: January 2024

IntroductionPlants can adapt their growth to optimize light capture in competitive environments, with branch angle being a crucial factor influencing plant phenotype and physiology. Decreased branch angles in cereal crops have been shown to enhance productivity in high-density plantings. The Tiller Angle Control (TAC1) gene, known for regulating tiller inclination in rice and corn, has been found to control branch angle in eudicots. Manipulating TAC1 in field crops like cotton offers the potential for improving crop productivity.MethodsUsing a homolog-based methodology, we examined the distribution of TAC1-related genes in cotton compared to other angiosperms. Furthermore, tissue-specific qPCR analysis unveiled distinct expression patterns of TAC1 genes in various cotton tissues. To silence highly expressed specific TAC1 homeologs in the stem, we applied CRISPR-Cas9 gene editing and Agrobacterium-mediated transformation, followed by genotyping and subsequent phenotypic validation of the mutants.ResultsGene duplication events of TAC1 specific to the Gossypium lineage were identified, with 3 copies in diploid progenitors and 6 copies in allotetraploid cottons. Sequence analysis of the TAC1 homeologs in Gossypium hirsutum revealed divergence from other angiosperms with 1-2 copies, suggesting possible neo- or sub-functionalization for the duplicated copies. These TAC1 homeologs exhibited distinct gene expression patterns in various tissues over developmental time, with elevated expression of A11G109300 and D11G112200, specifically in flowers and stems, respectively. CRISPR-mediated loss of these TAC1 homeologous genes resulted in a reduction in branch angle and altered petiole angles, and a 5 to 10-fold reduction in TAC1 expression in the mutants, confirming their role in controlling branch and petiole angles. This research provides a promising strategy for genetically engineering branch and petiole angles in commercial cotton varieties, potentially leading to increased productivity.
Unveiling the potential of cellulose nanofibre based nitrogen fertilizer and its transformative effect on Vigna radiata (Mung Bean): nanofibre for sustainable agriculture
Authors: Sharma Neha , Kochar Mandira , Allardyce Benjamin James , Rajkhowa Rangam , Agrawal Ruchi 
Published: January 2024

IntroductionFertilizer management is crucial to maintaining a balance between environmental health, plant health, and total crop yield. Farmers are overutilizing fertilizers with a mind set to enhance the productive capacity of the field, which adversely impacts soil fertility and causes serious environmental hazards. To mitigate the issues of over-utilization of fertilizers, controlled-release fertilizers were developed using nitrogen fertilizer (ammonium chloride) loaded on cellulose nanofibres (named CNF*N).MethodologyIn this study, the effects of CNF*N were compared with commercial nitrogen fertilizer (ammonium chloride) on Vigna radiata (Mung) under greenhouse conditions. The pot experiment was conducted using six treatments: first treatment was control, where the plant was cultivated (T1); second treatment was T2, where the plant was cultivated with CNF to determine the impact of CNF on the plant; third was T3 where commercial ammonium chloride (24 mg/ 2 kg soil) was added to the plant; fourth was T4, where the plant was loaded with CNF, viz. CNF*N contains 4.8 mg of nitrogen; fifth was T5 CNF*N pellet contains 12 mg of nitrogen, and the last sixth treatment (T6) where CNF*N pellet containing 24 mg of nitrogen.ResultsIt indicated that the growth parameters were best achieved in T6 treatment. Plant height was at its maximum in the T6 treatment (44.4 ±0.1cm) after the second harvest, whereas the minimum plant height was observed in T1, which was 39.1 ±0.1 cm. Root-to-shoot weight ratio was also maximum in T6 (0.183± 0.02) and minimum in T1 (0.07± 0.01) after second harvesting. The significant difference among the treatments was determined with Tukey’s honestly significant difference (HSD). The nitrogen content (available and total) was significantly higher in the T4, T5, and T6 treatments (0.22, 0.25, and 0.28%) as compared to the control treatments (T1 (0.12%), T2 (0.13%), and T3 (0.14%) during the second harvesting stage (90 days), as nitrogen plays a crucial role in the development of vegetative growth in Vigna radiata. The rate of controlled-release nitrogen-fertilizer was found to be optimal in terms of plant growth and soil nutrients; hence, it could potentially play a crucial role in improving soil health and the yield of the crop.
A study on Taiwan’s vocational senior high school teachers’ teaching identity and teaching transformation when facing a new competency-based curriculum
Authors: Lin Tzu-Chien , Lee Yi-Sang , Ye Jian-Hong 
Published: January 2024

IntroductionThe competency of education is advocated in the 2023 United Nations Sustainable Development Goals. UNESCO encourages countries to provide inclusive, equitable, competency education and lifelong learning opportunities for all. Starting from 2019, 12-Year-Basic-Education, a new curriculum, was fully implemented in Taiwan to conform to the competency education strategy. For the teachers on site, teachers’ understanding of the new curriculum and teaching practice has a direct impact on the competency of the implementation of this new policy. The main purpose of this study was to explore the relationship between vocational senior high school teachers’ competency-oriented teaching, teaching identity and teaching transformation regarding this new curriculum.MethodsIn order to effectively expand teachers’ understanding of competency-oriented teaching identity, this study put forward 6 hypothetical approaches based on the implicit theory of teaching transformation. The 747 valid questionnaires accounted for 97.1% of the total recovered questionnaires. The reliability and validity analyses, as well as overall model fitting analysis and research model validation were performed on these valid questionnaires.ResultsThe results of the study showed: (1) With the background of Competency-oriented teaching, teachers’ teaching attitude and teaching willingness has a positive impact on teaching identity; (2) teachers’ teaching identity has a positive impact on teaching preparation, teaching practice, further study, three types of teaching transformation. In summary, three conclusions from this study were concluded on the aspects of teaching preparation, teaching practice and further study on practical competency-oriented teaching, teaching identity and teaching transformation in the educational field.ConclusionThree conclusions were derived for the relationships among these six constructs: (1) Teachers with a “good attitude” and “strong willingness” to teach, a “high sense of identification” acceptance and full implement of “teaching preparation” are considered as teachers with a “foresight and a visionary predictive style”; (2) Teachers with a high sense of self-awareness who can fully practice “teaching practice” are teachers with a “pragmatic teaching by example style”; (3) Teachers with a “good attitude,” a “strong willingness” to teach, a “high sense of identification” acceptance and who are able to fully practice “advanced research” are considered as teachers with an “empowerment-enhancing coaching style”.