bluuebunny/crossref_metadata_2025_split huggingface dataset:
Foliar applied silicon nanoparticles improved fruit yield, biochemical attributes, and leaf minerals of different cucumber (Cucumis sativus L.) cultivars
Authors: Khademi Hossein Tajik , khodadadi mohsen , Hassanpanah Davoud , Hajainfar Ramin 
Published: August 2023

Abstract
Silicon (Si) nanoparticles has an eminent role in improving plant yield through improving yield. The present study was conducted to find the effect of Si NPs on plant yield, biochemical attributes and minerals of different cucumber cultivars. The greenhouse experiment with foliar application of Si NPs (100, 200, and 300 mg L− 1) was carried out on cucumber cultivars (Emilie, Mirsoltan, Mitio, and Viola). The application of Si NPs at 300 mg L− 1 led to the highest fruit yield, with a 17% increase in fruit production compared to the control. Emilie and Si NPs at 100 mg L− 1 and Mito at 300 mg L− 1 produced different fruit firmnesses by 31%. Plants experiencing Si NPs at a 300 mg L− 1 had the greatest Chl a + b. Compared to the other cultivars, Mito had a greater fruit yield and Chl content. Si NPs increased TSS by 11% while lowering TA by 24% when compared to the control at 300 mg L− 1. Foliar application of Si NPs reduced the value of TSS/TA. By advancing Si NPs, leaf Si increased. The largest value of K was reached in the Mito cultivar with Si NPs at 200 mg L− 1, with a 22% increase in comparison to the control, indicating that Si NPs considerably boosted the K content. Si NPs at 200 mg L− 1 significantly increased leaf N and P in the Mito cultivar by 16 and 50%, respectively. Principal component analysis (PCA) revealed that TA had a strong negative connection with all cucumber plant characteristics when Si NPs were present. By using agglomerative hierarchy clustering (AHC), Emilie and Mito were located in two separate clusters, whilst Viola and Mirsoltan were grouped together in one. In conclusion, Si NPs at 200–300 mg L− 1 enhanced fruit yield, and Mito showed the highest yield when compared to other cultivars.
Landscape changes of alpine grasslands in the Zhari Namco basin of the central-southern Qiangtang Plateau
Authors: Chen Lu , Zhang Wei , Li Wenjie , Li Rui , Chen Wenxi , Ran Qinghong , Qin Jianxiong 
Published: August 2023

Abstract
Context. The Qiangtang Plateau, with its high elevations and cold, dry climate, poses challenges for fieldwork, particularly for ecological research of alpine grassland landscapes at the plant community scale.
Objectives. This study aimed to establishand map the distribution patterns of dominant communities in the alpine basin of Zhari Namco. It also investigated the evolution over the past two decades in terms of the number of grasslands, their structural changes, and the fragmentation of habitats.
Methods. We quantified the habitat characteristics of dominant plant communities considering topography, hydrology, and fractional vegetation cover. Fifteen landscape indices were selected to examine the characteristics of the grassland changes.
Results. The results indicated: (1) the patches of S. purpurea steppe and K. pygmaea meadow were more fragmented compared with the other types. These two types had a decisive impact on the entire grassland landscape; (2) the patch structure of both Carex swamp meadow and C. moorcroftii meadow remained stable, but displayed a different degree of habitat fragmentation as a result of grazing management; and (3) S. purpurea + C. moorcroftii steppe, located in areas with the best hydrothermal conditions, maintained a relatively stable grassland structure with a lighter degree of habitat fragmentation. It is the most suitable grassland resource for grazing in the study region.
Conclusions. The present findings provide a reference for exploring the changes in the type and scale of alpine grassland plant communities. It also serves for the rational utilization of alpine grassland resources in the Qiangtang Plateau.
Dual-Modality Imaging for Monitoring Thrombosis via Platelet GPIIb/IIIa Receptor Targeted cyclic RGDfK Microbubbles
Authors: wang yabin , Zhang Yang , Yang Ning , Zhang Xiaoting , Ma Sai , Xu Mengqi , Xu Yunxue , Gao Shan , Fang Yan , Li Na , Li Sulei , Liang Ping , Zhang Xu , Fan Li , cao feng 
Published: August 2023

Abstract
Backgound: Acute thrombotic events play a vital role in cardiovascular diseases. Our study aims to investigate an ultrasound microbubble fordual-modality imaging of thrombi.
Methods:DID-DSPE-PEG-cRGD-Microbubbles wereprepared by mechanical vibration and Chemical chelation methods. In vivofluorecence and ultrasound imaging were performed after by intravenous injection of DID-DSPE-PEG-cRGD-Microbubbles respectively.
Results: This microbubbles exhibitedgood binding affinity to activated platelets with significant fluorescence and ultrasonic signals. Ultrasound and fluorescence imaging revealed that the microbubbles accumulated at the site of the thrombus in the carotid artery, and immunofluorescence showed that microbubbles could be detected in the carotid artery thrombus.
Conclusion: We successfully synthesized novel microbubble cRGD-MBs, which indicateexcellent potential for immediate diagnosis of acute thrombus in vivo.
Fabrication and performance investigation of flexible sensors based on RGO for health-monitoring
Authors: Lv Wenchao , Chen Peihong , Jiang Yuanhe , Ge Zhixiang 
Published: August 2023

Abstract
People all over the world are deeply aware of the importance of good health by the epidemic in recent years, which has caused tremendous attention on health monitoring industry and technology. Sensors are widely used in the health monitoring field. However, traditional sensors are mainly rigid devices, which are not suitable for human health monitoring. Flexible sensors are gradually available, but most of the processes are complex and the cost is high, which seriously restricts their rapid development. In this paper, a simple design of flexible sensors based on reduced graphene oxide (RGO) was proposed, which can be used for real-time health monitoring. The performance investigations of flexible sensors were conducted and the results indicate that the response time of the flexible force sensor is 540 ms and the relaxation time is 330 ms. It is highly sensitive to pressure load, solution concentration and vibration signal. The humidity sensor based on RGO is sensitive to the surrounding humidity by sensing water molecules adsorbed on the sensor surface. The flexible sensors fabricated by the method proposed in this paper require simple process and exhibit high performance. Hereby, they have broad application prospect in the field of health monitoring.
Chemical characterization, in vitro anti HSV-1 activity of the Polyphenol-enriched fractions of Cistus laurifolius L., and development of antiviral herbal lip balm
Authors: Okumuş Nurullah , Erdoğmuş Sevim Feyza , Doğan Hasan Hüseyin , Altintaş Özlem Erdal , Çelik Sefa , Duman Rüstem , Ünlü Ümmühan 
Published: August 2023

Abstract
The cytotoxic activities of the Cistus laurifolius extracts and their ability to inhibit cytopathic effect were evaluated by colorimetric XTT test on Vero cells. In the first experiments, crude extracts did not show antiviral activity due to high toxicity. The solid phase extraction (SPE), purification, and polyphenolic enrichment methods (PEM) were applied for EtOH, MeOH, and dH2O extracts to reduce the toxicity of the extracts and in this way, high antiviral results were obtained. Polyphenol-enriched fractions (PEF) of MeOH (SI: 431.17) and dH2O (SI : >455.37), purified with SPE, showed high antiviral effects against HSV-1. In vitro cytotoxicity for PEF of EtOH, MeOH, and dH2O from C. laurifolius was investigated on HDFa cells to develop herbal lip balm formulations. All fractions had no cytotoxic effect on human dermal fibroblast cells. Herbal lip balm formulations were also developed and evaluation tests were performed on the herbal lip balm in this study. Twenty-one different phenolic contents in the extracts were investigated in the HPLC-DAD system. The hyperoside (49.37 ± 0.53), isoquercitrin (48.05 ± 0.74), rutin (45.84 ± 1.02), epicatechin (14.83 ± 1.00), quercetin-3-O-glucopyranose (13.35 ± 0.16), catechin (12.80 ± 0.1), caffeic acid (3.15 ± 0.18), apigenin (6.30 ± 0.10) were determined as the highest level in CL-PEF/dH2O than the other fraction. The results show that the PEF extracts obtained from C. laurifolius have good anti-HSV-1 activity, and the herbal formulation with antiviral activity has a better option with minimum side effects though detailed clinical trials may be done to access the formulation for better efficacy.
Nursing attitudes and perceptions on restraint practices in Italian mental health settings
Authors: Vitale Elsa , Lupo Roberto , Conte Luana , Farì Martina , Fanton Marta , Lezzi Alessia , Calabrò Antonino , Ercolani Maurizio , Carvello Maicol , De Nunzio Giorgio 
Published: August 2023

Abstract
An observational, cross sectional, on-line study was carried out on nurses employed in mental health facilities in order to analyze psychiatric nursing attitudes and believes on restraint nursing approaches. 268 psychiatric nurses were enrolled in this study. The data reported that most of the participants had over six years of work experience in mental health and 80% received training on physical restraint during their nursing degree, mostly in the post-base update. Conflicting opinions with respect to physical constraints as safe tools to prevent skin lesions, and to the risks associated with this practice, were revealed. Implementing educational programs for healthcare personnel seemed imperative, focusing on equipping them with strategies to minimize the use of restraint and to effectively adapt to the anticipated transformations in contemporary psychiatry.
Psychometric development and validation of the Hospital Resilience Index
Authors: Lirk Philipp , Janjua Haroon , Rogers Michael , Flynn Stephen , Kuo Paul , Pietrobon Ricardo 
Published: August 2023

Abstract
Background
Throughout the past decades, the United States healthcare system has seen increased efforts to promote resilience to external or internal stressors. However, measuring outcomes remains a challenge, mainly because most indices rely on markers that need to be gathered from different data sources. An alternative would be to use readily available large-scale data. The American Hospital Association (AHA) annual survey gathers over 1,000 data points from more than 6,000 hospitals. The RAND corporation provides information on the financial health and viability of hospitals and health care systems. Our study aimed to establish and psychometrically validate a new Hospital Resilience Index.
Methods
We took the two databases as primary data sources, and defined hospital closure as the main negative outcome. We performed descriptive statistics, and regression analysis of the databases, with he main outcome of hospital closure.
Results
Our findings show that a combination of eleven variables is strongly associated with the likelihood of hospital closure. These factors mirror smaller hospital size, lack of ancillary functions, staffing structure of the hospital, size of facilities, number of surgeries performed, Medicare discharges, operating expenses, and medical school affiliation as a teaching hospital. We further classified hospitals with a low HRI (< 25) or high HRI (> 25). In this setup, we found that both hospitals with a low HRI and hospitals that would subsequently close were characterized by smaller patient census, smaller numbers of surgeries, fewer beds, a smaller staff, and a lower operating margin.
Conclusions
Together, these factors would point to a higher resilience to external stressors in larger, more expanded hospitals and healthcare systems, offering a broad range of services, and having a higher operating margin. The higher tiers of the healthcare system therefore seem to have more resilience, but the recent Covid-19 pandemic exhibited how much all tiers in the system are needed to respond to extraordinary crises such as pandemics or large natural disasters. Future research should seek to determine whether tracking the HRI over time may be a tool to identify hospitals at risk of closure.
Impact of weight loss for psychiatric symptoms in mid-stage patients with Parkinson's disease: A 4-year follow-up study
Authors: Kurihara Kanako , Fujioka Shinsuke , Mishima Takayasu , Tsuboi Yoshio 
Published: August 2023

Abstract
Background
Weight loss is one of non-motor symptoms frequently seen in patients with Parkinson's disease (PwPD); Weight loss in PwPD is known to be negatively associated with motor and other non-motor symptoms, and has been shown to influence the prognosis of PD. Here, we followed weight change over a 4-year period in PwPD in a single institution and investigated the relationship between weight change and patients’ motor and non-motor symptoms.
Methods
PwPD who visited our hospital from January 2018 to December 2022 were enrolled. Body weight were measured at two points in 2018 (at the start of observation, 'baseline') and 2022 (at the end of observation, 'end date'). In addition, motor symptoms, disease severity, cognitive function, and psychiatric symptoms were evaluated during the same period, and the relationship with weight loss was examined.
Results
Data of 96 PwPD were available for a 4-year period follow-up. At baseline, mean age was 65.7 ± 10.0 years, mean disease duration was 6.8 ± 4.0 years, and mean Hoehn and Yahr stage was 2.4 ± 0.7. Among them, 49 patients (51.0%) had a weight loss of ≥ 5% from baseline (weight loss group; mean loss was 6.4 ± 3.6 kg). The weight loss group was older (P = 0.045), had a lower Mini-Mental State Examination (MMSE) at baseline (P = 0.037), and had a significantly lower body mass index (P = 0.001) and higher Zung Self-Rating Depression Scale (SDS) (P = 0.012) at end date. There was a negative correlation (γ = -0.403, P < 0.001) between weight change and age, a positive correlation (γ = 0.318, P = 0.002) between weight change and MMSE at baseline, and a negative correlation (γ = -0.333, P = 0.001) between weight change and SDS at end date. Age-adjusted correlations showed a final negative correlation (γ = -0.309, P = 0.002) between weight change and SDS.
Conclusions
Weight loss in PwPD in mid-stage was more likely with increasing age, and a ≥ 5% weight loss was associated with worsening depression. Further research is needed regarding the significance of weight loss in PwPD.
Trial registration
The participants were retrospectively registered.
Presepsin is a more useful predictor of septic AKI and ARDS for very-old sepsis patients than for young sepsis patients in ICUs: a pilot study
Authors: Shimoyama Yuichiro , Kadono Noriko , Umegaki Osamu , Minami Toshiaki 
Published: August 2023

Abstract
Objective
Sepsis is a syndrome of life-threatening organ dysfunction. This study aimed to determine whether presepsin is a useful predictor of septic acute kidney injury (AKI), acute respiratory distress syndrome (ARDS), disseminated intravascular coagulation (DIC), and shock in very-old sepsis patients aged 75 years in intensive care units (ICUs).
Results
A total of 83 adult patients diagnosed with sepsis were prospectively examined and divided into two groups: those aged 75 years and older (over 75 group) and those aged younger than 75 years (under 75 group). Presepsin values were measured after ICU admission. Inflammation-based prognostic scores were also examined. For category classification, total scores (“inflammation-presepsin scores [iPS]”) were calculated. Presepsin values, inflammation-based prognostic scores, and iPS were compared between patients with septic AKI, ARDS, DIC, or shock and those without these disorders in the over 75 and under 75 groups. Areas under the curve of presepsin for predicting septic AKI and ARDS in the over 75 group were both > 0.7, which were significantly higher than those in the under 75 group. In conclusion, presepsin is a more useful predictor of septic AKI and ARDS for very-old sepsis patients (over 75 years) than for younger sepsis patients (under 75 years).
Machine Learning Pipeline to analyze Clinical and Proteomics Data: experiences on a prostate cancer case
Authors: Tradigo Giuseppe , Vizza Patrizia , Aracri Federica , Gaspari Marco , Guzzi Pietro Hiram , Veltri Pierangelo 
Published: August 2023

Abstract
Proteomic-based analysis is used to identify biomarkers in blood samples and tissues. Data produced by devices such as mass spectrometry, requires platforms to identify and quantify proteins (or peptides). Clinical information can be related with mass spectrometry data to identify diseases at an early stage. Machine learning techniques can be used to support physicians and biologists for studying and classifying pathologies.
We present the application of machine learning techniques to define a pipeline aimed to study and classify protemics data enriched by means of clinical information. The pipeline allows users to relate established blood biomarkers with clinical parameters and proteomics data. The proposed pipeline entails three main phases: (i) feature selection, (ii) models training and (iii) models ensembling. We report the experience of applying such a pipeline on prostate related diseases. Models have been trained on a datasets which results from the integration of clinical and mass spectrometry based data. The pipeline receives as input data from blood analytes, tissue samples, proteomic analysis and urine biomarkers. It then learns different models for feature selection and classification.The presented pipeline has been applied on two datasets onbtained a 2 years research project which aimed to extract hidden information from mass spectrometry, serum and urine samples from hundreds of patients. We report results on analyzing prostate datasets with 163 samples, including 79 patient, and a urine dataset with 121 patients. As results pipeline allowed to identify interesting peptides in the two datasets, 6 for the first one and 2 for the second one. The best model for both prostate (AUC=0.815, F1=0.8, Specificity=0.75, Sensitivity=0.88) and urine (AUC=0.810, F1=0.824, Specificity=0.805, Sensitivity=0.814) datasets showed good predictive performances.We are confident that the pipeline can be successfully adopted in similar clinical setups.
Genes of Antibiotic Resistance in Gram-Negative Bacilli causing Urinary Tract Infections in Khartoum State: A Cross-sectional study
Authors: Mohammedkheir Manal Ismail , Gaafar Elsheikh Mahgoub , AbdAlla Eltayeb GareebAlla Eltayeb 
Published: August 2023

Abstract
Background
The resistance of Gram-negative bacilli against antibiotics is rapidly rising worldwide, limiting the treatment options. Gram-negative bacilli are the main cause of urinary tract infections, this study aims to determine the frequent causative organisms of UTI and the pattern of their resistance to antibiotics.
Materials and Methods
This was a cross-sectional hospital-based study conducted at El-Amal Hospital, Bahri teaching hospital, and Al-Baraha Hospital, Khartoum state from March to October 2022. Urine samples from patients suspected to have UTI were collected and patients with confirmed UTI by laboratory investigations and yielded culture growth were enrolled. Antibiotic sensitivity testing and PCR testing of for blaTEM, blaSHV, and blaCTX-M genes was done.
Results
This study included 50 patients with UTI out of 229 suspected patients (21.8%). The prominent group of patients was older than 60 years 40%, the majority were females 70%. Escherichia coli was the commonest isolated organism 50%, followed by Klebsiella oxytoca 24%, Klebsiella pneumoniae 20%, Pseudomonas aeruginosa (4%), and Citrobacter feurndii (2%). organisms showed good susceptibility to colistin (17% resistance), while resistance to the rest of the antibiotics was 77% to amikacin 97.6% to cefotaxime, 96.8% to Ceftazidime, 97.6% to Ceftriaxone, 96.8 to Cefixime, 87.6 to ciprofloxacin, 88.4% to gentamycin, 62% to imipenem, 67.6% to meropenem, 87.6% to Norfloxacin, and 95.6% to Trimethoprim. Regarding genes responsible for the resistance blaTEM was the commonest 100%, followed by blaCTX-M 94% and blaSHV 84%.
Conclusion
Escherichia coli and Klebsiella species were the commonest isolated uro-pathogens in this study and the majority were highly resistant to most of the antimicrobial agents tested. Resistance genes blaTEM, blaCTX-M and blaSHV are very common in uro-pathogens.
Establishment of in vitro pollen germination system in C4 model plant Foxtail Millet
Authors: Su Min , Wang Dan , Li Zi-Dong , Hao Jian-Hong , Dong Shuqi , Yuan Xiangyang , Li Xiaorui , Gao Lulu , Yang Guanghui , Chu Xiaoqian , Wang Jia-Gang 
Published: August 2023

Abstract
The pollen development and germination are critical stages for sexual reproduction in plants, this process has great potential application for improve grain yield in crops. In this study, the germination system of foxtail millet pollen was established, and it was found that culture temperature and time were the key factors for pollen germination, among which 22℃ and 30 min may be the best conditions for pollen germination, and the top of the pollen tube would expand if the culture temperature was too high. We also found that the time required for pollen germination of foxtail millet was much shorter than that of other cereals, which provided a new way for us to study the stress resistance of foxtail millet from the perspective of reproductive development. This system may provide significant guidance for the application of male sterility or cross breeding.
2017A alloy surface layer after flow burnishing with glass microspheres
Authors: Korzyńska Katarzyna , Zarski Tomasz , Zeglicki Wojciech , Zwolak Jan 
Published: August 2023

Abstract
This study presents a novel flow processing technique that uses glass microspheres instead of abrasives. The fundamentals of flow machining with glass microspheres, including microsphere flow burnishing (MFB) and the conditions necessary for cutting or plastic deformation of a surface to occur during MFB, are determined. Details on such conditions are lacking, and therefore, this study attempts to define these conditions. To this end, MFB was experimentally confirmed to be a burnishing process, and the effects of MFB and abrasive flow machining (AFM) on 2017A aluminum alloy were compared. Both processes achieved a surface roughness (Sa) of < 0.5 µm, while MFB yielded higher values of surface microhardness and compressive stress. The effects of basic process parameters on the MFB and AFM results (workpiece weight loss and Sa) were compared experimentally and the corresponding mathematical models were established. Utilizing these relationships, MFB parameters can be selected so as to obtain the most favorable surface layer for the expected operating conditions.