bluuebunny/crossref_metadata_2025_split huggingface dataset:
Control of Fusarium wilt disease of tomato and improvement of some growth factors through green synthesized zinc oxide nanoparticles
Authors: Jomeyazdian Aminsajad , Pirnia Mahdi , Alaei Hossein , Taheri Abdolhosein , Sarani Shirahmad 
Published: August 2023

Abstract
Metabolites from biomass of Trichoderma harzianum were used for green synthesis of zinc oxide nanoparticles (ZnONPs) from zinc nitrate (ZnNO3) and GC/MS analysis of metabolite was performed. Then, the antifungal activity of synthesized ZnONPs was evaluated against Fusarium oxysporum under the laboratory and greenhouse conditions. Results were compared to different concentrations of Iprodione + Carbendazim (Rovral-TS®) fungicide. Synthesized ZnONPs were characterized by ultraviolet-visible spectrometry (UV-Vis), X-ray diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM) and fourier transform infrared spectroscopy (FTIR). UV-Vis spectra showed an intense peak at 339 nm. X-ray diffraction pattern showed the crystalline nature and purity of the ZnONPs. FTIR revealed various functional groups including phenols, ketones, aldehydes, aliphatic and primary amines, nitriles, alkanes and alkynes in synthesized ZnONPs. Size of ZnONPs determined in the range from 25–60 nm. Based on atomic absorption spectroscopy, foliar application of synthesized ZnONPs, led to considerable accumulation of zinc in the leaves and suitable for compensate zinc deficiency. Some growth factors including root length, root volume, stem length, stem diameter and number of leaves improved in the treatments containing metabolite of T. harzianum, ZnNO3 and ZnONPs. Complete inhibition of mycelia growth of F. oxysporum was observed in 100 µg/ml concentration of ZnONPs in the laboratory conditions and disease percentage significantly reduced in the greenhouse conditions, indicated that green synthesized ZnONPs gave better results in low concentration than the fungicide. Therefore, application of green synthesized ZnONPs could be recommended as effective alternative and eco-friendly method for crop protection instead chemical fungicides.
A Nomogram for Predicting Cancer-Specific Survival of Hodgkin lymphoma in Children and Young Adulthood: an Observational Study using SEER Population-based Data
Authors: Zhang Luyao , Liu Changpeng , Wang Kaijuan , Raveendran Aravind , Zhang Naifang , Chen Tianhui , Zhang Yaodong 
Published: August 2023

Abstract
Background Hodgkin lymphoma (HL) is the most common neoplasm in children and young adults; GLOBOCAN 2020 shows a total of 83,087 new cases and 23,376 deaths of HL worldwide. This study developed a prognostic nomogram of HL in children and young adulthood for purpose to discuss independent risk factors for HL patients with the Surveillance, Epidemiology and End Results (SEER) database.
Methods We downloaded the clinicopathological data of children and young adulthood with HL from 1975 to 2020 in the SEER database. Univariate and multivariate Cox regression analyses were used to screen children and young adulthood independent risk factors for Cancer-Specific Survival (CSS). These risk factors were used to construct a nomogram to predict the CSS of children and young adulthood with HL. A series of validation methods, including calibration curve, consistency index (C-index), and area under the receiver operating characteristic curve (AUC), were used to validate the accuracy and reliability of the prediction model. Decision curve analysis (DCA) was used to validate the clinical application efficacy of predictive models. All patients were divided into low- and high-risk groups based on the nomogram score. Kaplan-Meier curve and log-rank test were used to compare survival differences between the two groups.
Results A total of 13,529 children and young adulthood with HL were included. Univariate and multivariate analysis suggested that Age, sex, stage, radiation, chemotherapy, histological type were independent risk factors. Nomograms were established based on these factors to predict 3-, 5-, and 10-years CSS of children and young adulthood with HL. The calibration plots showed that the predicted value was highly consistent with the actual value. In the training and validation cohorts, the C-index was 0.682 (0.665–0.700) and 0.694 (0.672–0.716), respectively. The AUC of the training and validation cohorts also showed similar results. The DCA showed that the nomogram had good clinical value.
Conclusion We constructed a new nomogram to predict the CSS of HL in children and young adults. This predictive model is accurate and reliable and can help doctors and patients develop clinical strategies.
Identification of a novel cuproptosis-related pattern and its tumor microenvironment infiltration characteristics in pancreatic cancer
Authors: Huang Guozhen , Ouyang Guoqing , Liu Zhipeng , Dai Luo , Wei Jie , Xu Tingfeng , He Songqing , Yuan Guandou 
Published: August 2023

Abstract
Purpose
Cuproptosis is a novel mechanism of copper-dependent cell death mechanism that can regulate the progression, immune response, and prognosis of tumors. However, the potential roles of cuproptosis-related genes (CRGs) in the clinical outcomes, tumor microenvironment (TME), and immunotherapy of pancreatic cancer (PC) remain unclear.
Methods
We comprehensively evaluated the CRG patterns in PC samples from two GEO datasets and TCGA based on 19 CRGs. LASSO and multivariate Cox regression were used to construct the cuproptosis model, and a nomogram was constructed to predict the sensitivity of anticancer drugs.
Results
Methylation regulated the expression level of eight CRGs in PC. Three distinct cuproptosis-related patterns with different biological processes and prognoses were developed. The immune infiltration features of the three cuproptosis patterns were immune-excluded, immune-inflamed, and immune-desert phenotypes, respectively. Higher expression of CRGs indicated a poor prognosis of PC. Based on the cuproptosis phenotype associated signature genes, we constructed a cuproptosis score to study the cuproptosis modification pattern of the individual sample. Univariate and multivariate Cox regression analyses confirmed the cuproptosis risk score model is an independent prognosis biomarker. The high-risk group was characterized by poor prognosis, high expression of CRGs, high frequency of mutation and immune activation, and immunotherapy advantage. The sensitivity of anticancer drugs was significantly different between the high- and low-risk score groups. CRG pattern associated with the clinical-pathological features, TME, and prognosis of PC.
Conclusions
The newly developed cuproptosis model could guide the design of individualized treatment strategies and facilitate accurate prognosis prediction for PC.
Neurogenesis-independent mechanisms of MRI-detectable hippocampal volume increase following electroconvulsive stimulation
Authors: Takamiya Akihiro , Abe Yoshifumi , Yokoyama Kiichi , Kato Tomonobu , Yagishita Sho , Tanaka Kenji 
Published: August 2023

Abstract
Electroconvulsive therapy (ECT) is the most effective psychiatric treatment but the underlying mechanisms are still unclear. In vivo human magnetic resonance imaging (MRI) studies have consistently reported ECT-induced transient hippocampal volume increases, and an animal model of ECT (electroconvulsive stimulation: ECS) was shown to increase neurogenesis. However, a causal relationship between neurogenesis and MRI-detectable hippocampal volume increases following ECT has not been verified. In this study, we were randomly allocated into four groups, each undergoing a different number of ECS sessions (e.g., 0, 3, 6, 9). T2-weighted image was acquired from those mice using 11.7-tesla MRI. A whole brain voxel-based morphometry analysis was conducted to identify any ECS-induced brain volume changes. Additionally, histological examinations with super-resolution microscopy were conducted to investigate microstructural changes in brain regions which show volume changes following ECS. Furthermore, parallel experiments were performed on X-ray irradiated mice to investigate a causal relationship between neurogenesis and ECS-related volume changes. As a result, we revealed for the first time that ECS induced MRI-detectable dose-dependent hippocampal volume increase in mice. Furthermore, ECS increased hippocampal volumes even in mice lacking neurogenesis, suggesting that neurogenesis is not required for the increase. Comprehensive histological analyses identified an increase in excitatory synaptic density in the ventral CA1 as a major contributor to the observed hippocampal volume increase following ECS. Our findings demonstrate that modification of synaptic structures rather than neurogenesis may be the underlying biological mechanism of ECT/ECS-induced hippocampal volume increase.
Biosensor –Based vital signs data aggregation and analytics for monitoring of patients in Internet of Medical Things (IoMT) enabled e-healthcare platform
Authors: Eteng Idongesit E. , Agana Moses A. , EKORO EKORO 
Published: August 2023

Abstract
Lack of proper patient health monitoring and data aggregation scheme in healthcare facilities has become an issue of serious concern the world over. Biosensors have become a handy way for the transmission of data from patients to healthcare providers. The use of Biosensors is also an innovation in healthcare management which involves observing vital physiological signs of patients with the aim of predicting ailments to mitigate them and prevent acute complications. In this study, a system architecture for proper monitoring of patients’ health using Internet of Medical things (IoMT) as an approach is developed. The Design Science research methodology was adopted in this research. The methodology involves the construction and evaluation of the artefacts that address a significantly recognized problem. In the adopted approach, real time data are sent to a local server via communication channels (Wi-Fi technology) and then transmitted to the IoT server via a designated network using a Wi-Fi module. For a robust transmission of physiological parameters to the cloud, a Blynk IoT- server was used as platform. Two main sensors DS18B20 an AD8232 ECG were used in measuring body temperature and heart rate respectively, with XAMPP server as the local server platform. Our results include a developed prototype and a mechanism where real-time numerical data is transmitted to the report platform which is later transformed into ordered numbers. The innovation in this work involves reading real time data from sensors attached to patients in IoMT-enabled environments and using a simple linear regression model to convert these real time data to ordered numbers which indicate severity of the physiological signals. These ordered numbers are transformed to visuals to enable ease of view. To the best of our knowledge, this approach has not been implemented by previous research studies. Based on our findings, we recommend that: the prototype system be deployed in healthcare facilities and the designed web applications be plugged into existing web domains of hospitals to enable timely intervention by the medical experts.
A Novel Feature Selection Approach Based Sampling Theory on Grapevine Images using Convolutional Neural Networks
Authors: Özaltın Öznur , Koyuncu Nursel 
Published: August 2023

Abstract
Feature selection, reducing number of input variables to develop classification model, is an important process to reduce computational and modelling complexity and affects the performance of image process. In this paper, we have proposed new statistical approaches for feature selection based on sample selection. We have applied our new approaches to grapevine leaves data that possesses properties of shape, thickness, featheriness, and slickness are investigated in images. To analyze such kind of data by using image process, thousands of features are created and selection of features plays important role to predict the outcome properly. In our numerical study, Convolutional Neural Networks (CNNs) have been used as feature extractors and then obtained features from the last average pooling layer to detect the type of grapevine leaves from images. These features have been reduced by using our suggested four statistical methods: Simple random sampling (SRS), ranked set sampling (RSS), extreme ranked set sampling (ERSS), Moving extreme ranked set sampling (MERSS). Then selected features have been classified with Artificial Neural Network (ANN) and we have obtained the best accuracy of 97.33% with our proposed approaches. Based on our empirical analysis, it has been determined that the proposed approach exhibits efficacy in the classification of grapevine leaf types. Furthermore, it possesses the potential for integration into various computational devices.
Impact of mutational status on preoperative olfactory function in olfactory groove meningioma: Insights from a Clinical Study
Authors: Podlesek Dino , Beyer Friederike , Alkhatib Majd , Hijazi Max Mido , Menzel Susanne , Eyüpoglu Ilker Yasin , Schackert Gabriele , Juratli Tareq Adnan , Hummel Thomas 
Published: August 2023

Abstract
PURPOSE:
The study aimed to analyze the impact of driver mutations and image characteristics of olfactory groove meningioma (OGM) on olfactory function.
METHODS:
Olfactory function was assessed in 22 patients with OGM using odor threshold, odor discrimination, odor identification, and a global olfactory score. Targeted sequencing was performed to define the most frequent OGM driver mutations in 52 patients. Image morphology was obtained from preoperative imaging.
RESULTS:
The cohort of 52 patients exhibited SMO/SUFU mutations in 17 (33%), AKT1 mutations in 13 (25%), and "other" mutations in 15 (29%) patients, while the remaining 7 (13%) tumors were wild-type. Tumor-associated planum hyperostosis was displayed in 75% of OGM, with the lowest frequency in the AKT1-mutated group (42%), the highest in the SMO/SUFU (82%) and WT-groups (100%); (p = .017). Related to OGM volume, there was a difference between AKT1 and wild-type mutated OGM cohort ([Median (Range) cm3]: [13 (3-45) cm3] vs. [44 (19-84) cm3]) (p = .008). The preoperative odor threshold correlated with the perifocal edema (p = .03). Odor identification was associated with tumor volume (p = .014) and hyperostosis of the planum (p = .005).
CONCLUSIONS:
The study provides a reference on the dependencies between imaging, clinical, and OGM mutational characteristics and preoperative olfactory performance. For the first time, it has been shown that PIK3CA, TRAF7-, POLR2A-, and NF1 OGM-mutation status is a tumor-related molecular predictor of the preoperative global olfactory performance. The preoperative olfactory status could contribute to more accurate surgical planning and postoperative patient support.
Dynamics of a fragmented forest landscape and its drivers of forest loss, recovery, and stability
Authors: Cunha Jéssica Stéfane Alves , Santos Jhonathan Gomes , Fonsêca Nathan Castro , Rezende Camila Linhares , Lins-e-Silva Ana Carolina Borges 
Published: August 2023

Abstract
Given the current demands for biodiversity conservation and climate mitigation, understanding the dynamics of fragmented forests in one of the most threatened regions of the Atlantic Forest is essential for supporting small and large-scale forest restoration initiatives. We investigated the patterns of forest loss, recovery, and stability from 1985 to 2020. We classified and quantified forest cover using temporal and spatial descriptors and related them to their causal agents. We hypothesised that there is a spontaneous natural regeneration process in abandoned areas, protected areas, and near the hydrographic network, but anthropogenic land uses negatively affect this process. Consequently, we observed that despite an increase in forest cover over the years, there was a loss of medium and large fragments of old-growth forests due to agriculture and urban infrastructure expansion, especially in flat areas and near watercourses. The increase was mostly comprised of small young forests in abandoned and protected areas, especially near watercourses. Forest stability was explained by proximity to municipality administrative units. This research elucidates the dynamics of forest patches in a severely threatened Atlantic Forest region. It revealed the replacement of large and medium mature forest fragments with small fragments of young forest. Thus, our results reinforce the need for monitoring forest stability, avoiding forest loss, and incentivising forest gain for biodiversity and ecosystem service conservation.
Exploring the Potential of a Meditation-Based Liver Cancer Classification Signature for Adjunctive Therapy
Authors: Zhou Xinyi , Zhang Zhimeng , Lan Fanglin , Bai Weiyu 
Published: August 2023

Abstract
Mindfulness meditation, as a non-therapeutic approach, holds immense significance in alleviating stress and regulating mental well-being. However, its utilization in disease treatment and clinical contexts remains largely unexplored. In light of cutting-edge research involving RNA sequencing data, we have successfully developed a gene signature, derived from differential gene expression during four distinct stages of meditation, to effectively classify patients with liver cancer. Our findings indicate that liver cancer patients can be stratified into two subtypes characterized by varying prognoses, immune microenvironments, tumor mutation burdens, and drug sensitivities. This tailored classification approach not only enables personalized chemotherapy strategies for liver cancer patients but also integrates meditation as a complementary intervention, significantly mitigating the adverse effects associated with chemotherapy.
Inhibition of cisplatin-induced Acsl4-mediated ferroptosis alleviated ovarian injury
Authors: Wang Siyuan , Li Xuqing , Li Jun , Wang Aiping , Li Fangfang , Hu Huiqing , Long Tengfei , Pei Xueting , Li Hongyan , Zhong Fei , Zhu Fengyu 
Published: August 2023

Abstract

Given that the severity of the chemotherapy-induced ovarian damage, effective fertility preservation is a necessary part of the treatment process. Ferroptosis is a regulated cell death triggered by excessive phospholipid peroxidation caused by iron and the role of ferroptosis in chemotherapy-induced ovarian damage remains unclear. In this study, we demonstrated that cisplatin treatment caused the accumulation of iron ions which induced ferroptosis in ovarian tissue. And our results show that ferrostatin-1 was able to suppress the ovarian injury and granulosa cell death caused by cisplatin (Cis) in vivoand in vitro. At the same time, we observed significant changes in the expression levels of Acyl-CoA synthetase long-chain family member 4 (Acsl4) and glutathione peroxidase 4 (GPX4). Similarly, Rosiglitazone, an inhibitor of Acsl4, administration alleviated the ovary damage of the mice undergoing chemotherapy. Further mechanistic investigation showed that cisplatin increased the expression level of specificity protein 1 (SP1), and SP1 could bind to the promoter of Acsl4 to increased Acsl4 transcription. Overall, ferroptosis plays an important role in Cis induced ovarian injury, and inhibition of ferroptosis protects ovarian tissues from damage caused by cisplatin, and for the first time, we have identified the potential of Fer-1 and Rosi to protect ovarian function in female mice undergoing chemotherapy.
Photo-induced anomalous Hall effect in ferromagnetic (Co)/transition metal dichalcogenide (WS 2 ) heterostructure
Authors: Jannati Saeid , Aftabi Ali , Rafiei Ali , Tehranchi Mohammad Mehdi 
Published: August 2023

Abstract
The photo-induced Hall effect is shown in the Co/WS2 heterostructure. This heterostructure consists of a ferromagnetic metal layer that forms a Schottky junction to a transition metal dichalcogenide semiconductor layer. In this effect, under the magnetic field and light irradiation, the excited charge carriers from the WS2 layer diffuse into the Co layer and are driven by Lorentz forces, then creates a transverse voltage in the open circuit. This open circuit voltage is a function of light and magnetic field intensity. The photo-induced voltage is nonlinear and hysteretic with the applied magnetic field and is in good agreement with magneto-optical Kerr's hysteresis loops. The observed results can provide a new technique for optical and magnetic sensing applications. In addition, it proposed a new technique to reconstruct the in-plane magnetic hysteresis loop for metallic thin films.
Research on the targeted improvement of the yield of a new VB12-producing strain, Ensifer adhaerens S305, based on genome and transcriptome analysis
Authors: Yongheng Yongheng Liu , Wei Wei Huang , Qi Qi Wang , Cilang Cilang Ma , Yongyong Yongyong Chang , Jianyu Jianyu Su 
Published: August 2023

Abstract
Background
Vitamin B12 (VB12) has wide application and high economic value. In this study, a new strain with high VB12 production potential, Ensifer adhaerens S305, was identified in sewage. Because E. adhaerens strains have become the main strains for VB12 production via fermentation in recent years, the directional modification of the S305 strain towards a strain suitable for the industrial production of VB12 has great potential and commercial value.
Results
16S rRNA and genome-wide phylogenetic tree analysis combined with average nucleotide identity (ANI) value analysis showed that the high-yielding VB12 strain belongs to E. adhaerens and that its VB12 synthesis pathway genes are highly similar to related genes of strains of this species, including E. adhaerens Casida A, Pseudomonas denitrificans SC 510, and E. adhaerens Corn53. High-pressure liquid chromatography (HPLC) results indicated that the VB12 yields of the S305 strain were more than double those of the Casida A strain under different medium components. Multiple genes with significantly upregulated and downregulated transcription were identified by comparing the transcription intensity of different genes through transcriptome sequencing. KEGG enrichment analysis of the porphyrin metabolism pathway identified 9 significantly upregulated and downregulated differentially expressed genes (DEGs) in the VB12 synthesis pathway, including 7 transcriptionally upregulated genes (cobA, cobT, hemA, cobJ, cobN, cobR, and cobP) that were episomally overexpressed in the Casida A strain. The results showed that the VB12 yield of the overexpressed strain was higher than that of the wild strain. Notably, the strains overexpressing the cobA and cobT genes had the most significant increases in VB12 yield, i.e., 31.4% and 24.8%, respectively. The VB12 yield of the S305 strain in shake-flask culture improved from 176.6 ± 8.21 mg/L to 245.6 ± 4.36 mg/L by integrating the cobA and cobT genes into the S305 strain.
Conclusion
Phylogenetic tree and ANI analysis showed that the Ensifer and Sinorhizobium strains are quite different at the genome level; the overexpression and integrated expression of significantly upregulated genes in the VB12 synthesis pathway can increase the yield of VB12, further improving the VB12 yield of the E. adhaerens S305 strain.