bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of correlation between Klebsiella pneumoniae resistance and antibiotic use density in ICU of a hospital in China : A Retrospective Study, 2020-2022
Authors: Huang Jinhua , Ding Ying , Chen Yao , Zhang Qingfang , Teng Zhimei , Li Wenqi , Ma Ying , Zhang Chuanmeng , Huang Danna , Kong Xuhui 
Published: February 2024

Abstract
Objective
To analyze the correlation between antimicrobial resistance of Klebsiella pneumoniae in ICU and the use of antibiotics, to provide evidence and reference for rational use of antibiotics and prevention and control of multi-drug resistant bacteria.
Methods
The composition ratio and the antibiotic resistance rate of Klebsiella pneumoniae isolated in ICU from 2020 to 2022 was analyzed retrospectively, as well as the correlation between the antibiotic use density and antibiotic resistance were analyzed.
Results
971 strains of Klebsiella pneumoniae isolated from ICU for three years were selected. The samples were mainly derived from sputum (72.50%), urine (10.40%), drainage fluid (7.00%), blood (6.80%). The antibiotic resistance rate of Klebsiella pneumoniae was 48.6%, and there was significant difference in the antibiotic resistance rate of all kinds of antibiotics (P < 0.001).The resistance rate of Klebsiae pneumoniae to β-lactam and quinolone antibiotics was higher (> 50%). The resistance rate to Carbapenems, aminoglycosides and sulfonamides was relatively low (< 40%). There was a significant positive correlation between the resistance rate of Klebsiella pneumoniae and the antibiotics use density (P < 0.05).
Conclusion
The antibiotic resistance of Klebsiella pneumoniae is severe, which is significantly related to the antibiotic use density. We should strengthen the management of antibiotic, and strictly implement the prevention and control measures of multi-drug resistant bacteria to reduce the spread of resistant.
Trans-to-cis isomerization of a platinum(II) complex with two triphosphine ligands via coordination with gold(I) ion
Authors: Nagasato Kazuki , Baba Taichi , Soma Hayato , Yoshinari Nobuto 
Published: February 2024

Abstract

The reaction of a square-planar platinum(II) complex having two bis(2-diphenylphosphinoethyl)phenylphosphine (triphos), [Pt(triphos)2](NO3)2 ([1](NO3)2), with [Au(tu)2]Cl (tu = thiourea) gave a new trinuclear AuI2PtII complex, [{Pt(triphos)2}{Au(tu)}2]Cl2(NO3)2 ([2]Cl2(NO3)2), through the Au-P coordination bond formation. While the [Pt(triphos)2]2+ unit in [1](NO3)2 adopted the trans-meso configuration, only the cis-racemic isomer was observed in [2]Cl2(NO3)2. The 31P NMR spectroscopy indicated a rapid equilibrium among the possible isomers of [1]2+, facilitating the unique trans-to-cis transformation at the PtII center in this system. Additionally, we observed that this structural transformation leads to an enhancement of the emission intensity.
Lightweight and Thin with High-Frequency Performance Microwave Absorbing Heterostructure Carbon Derived from Ashoka-leafs Ash
Authors: KUMAR NEETU , KUANR BIJOY KUMAR 
Published: February 2024

Abstract
In today's world, there is a significant focus on addressing acute electromagnetic pollution and developing efficient stealth materials. This involves extensive efforts to create high-performance microwave absorption materials (MAMs), with a strong emphasis on sustainability and eco-friendliness. To contribute to proper waste and agriculture waste management which synthesis by carbonization and hydrothermal route, a recent study introduces a novel approach using carbonized leaves as single-layer microwave absorbers made from Ashoka-leafs Ash (AA). These absorbers are extremely slim and lightweight, with a thickness of just 0.5 mm. They have a weight ratio of 1:1 when combined with paraffin wax, and they are engineered to perform efficiently within the high-frequency range of 27–40 GHz (Ka-band). This frequency range is also pertinent to 5G communication technology. The absorbing characteristics of this substance are affected by the greater surface area resulting from the heterostructure. This, in turn, leads to an increase in its capacity for losses, dielectric constant, and conductivity. Consequently, it improves its efficiency in absorbing microwaves. The outcomes reveal that the material attains an impressive reflection loss value of − 45 dB at 34 GHz, with a thickness of 0.5 mm, corresponding to a high attenuation constant and an absorption rate of 99.99%. This exceptional performance suggests that the proposed microwave-absorbing material could be utilized in the development of military, anechoic chambers and low-cost stealth materials. Notably, these results outperform many other carbonaceous materials derived from biomass that have been previously reported. Before conducting the absorption studies, various microstructural characterizations on the material were to better understand its properties and behaviour.
RNF170 frameshift deletion in Miniature American Shepherd dogs with neuroaxonal dystrophy provides a naturally occurring model for human RNF170 phenotypic spectrum
Authors: Cook Shawna R. , Schwarz Cleo , Guevar Julien , Assenmacher Charles-Antoine , Sheehy Maeve , Fanzone Nathan , Church Molly E. , Murgiano Leonardo , Casal Margret L. , Jagannathan Vidhya , Gutierrez-Quintana Rodrigo , Lowrie Mark , Steffen Frank , Leeb Tosso , Ekenstedt Kari J. 
Published: February 2024

Abstract
Neuroaxonal dystrophy (NAD) is a group of inherited neurodegenerative disorders characterized primarily by the presence of spheroids (swollen axons) throughout the central nervous system. In humans, NAD is heterogeneous, both clinically and genetically. NAD has also been described to naturally occur in large animal models, such as dogs. A newly recognized disorder in Miniature American Shepherd dogs (MAS), consisting of a slowly progressive neurodegenerative syndrome, was diagnosed as NAD via histopathology. Affected dogs were typically young adults and displayed an abnormal gait characterized by pelvic limb weakness and ataxia. A combined GWAS and autozygosity mapping approach, together with whole-genome sequencing, identified the underlying genetic cause as a 1-bp deletion in RNF170 (ring finger protein 170), which perfectly segregates in an autosomal recessive pattern. This deletion is predicted to create a frameshift (XM_038559916.1:c.367delG) and early truncation of the RNF170 protein (XP_038415844.1:(p.Ala123Glnfs*11). A significant LOD score of 9.70 in an extended pedigree confirms the linkage of the deletion variant with the canine phenotype. Several RNF170 variants have been identified in human patients with analogous clinical syndromes, indicating that this novel MAS NAD serves as an excellent large animal model for equivalent human diseases, particularly since affected dogs demonstrate a relatively long lifespan, which represents an opportunity for therapeutic trials. The age of this canine RNF170 variant is estimated at approximately 30 years, before the reproductive isolation of the MAS breed. This carries implications for the standard Australian Shepherd, the breed from which MAS were developed.
Exploring the Potential of Crowdsourced Traffic Data for Improved Traffic Predictions: A Big Data Approach
Authors: Azizi Farid , Zhang Wei , Malik Ayesha , Shen Zhou 
Published: February 2024

Abstract
This paper presents a groundbreaking approach to traffic prediction through the integration of crowdsourced data within a big data analytics framework. The proposed methodology addresses the limitations of traditional traffic prediction models and machine learning approaches by leveraging the collective intelligence from diverse sources, including navigation apps, social media, and connected vehicles. A dynamic algorithm continuously updates the model parameters in real-time, adapting to evolving traffic patterns in urban environments. Comprehensive experiments, conducted on the UrbanTrafficFlow (UTF) and CityMobilityPatterns (CMP) datasets, demonstrate the superior predictive accuracy and adaptability of the proposed model compared to existing methods, including LSTM-based models, spatiotemporal graph convolutional networks (ST-GCN), and traditional statistical models. The integration of diverse data sources showcases the model's ability to enhance accuracy, and the impact of crowdsourced data integration is highlighted. This research contributes to the advancement of intelligent transportation systems and big data analytics, paving the way for more resilient and efficient urban mobility solutions in the era of smart cities.
Hydrological effects of open ditch damming and controlled subsurface drainage in a Nordic agricultural field
Authors: Isomäki Kielo , Salla Aleksi , Salo Heidi , Koivusalo Harri 
Published: February 2024

Abstract
Controlled drainage (CRD) is an agricultural water management practice designed to adjust the capacity of a drainage system under varying hydrological conditions. This simulation study aimed to quantify the potential of combining a controlled subsurface drainage (CS) with open ditch damming (CD) to manage the water table depth (WTD) and field water balance in Nordic conditions. Simulations with and without controlled drainage were run using a hydrological model that had been set up for a flat loamy field in Northern Ostrobothnia, Finland, for the period 2010–2021. All CRD scenarios reduced the probability of deep WTDs during growing seasons (May–Sep). The impact of CS on WTDs was greater and more uniform than CD. The CRD effects on water balance were seen in water outflow pathways, as CS reduced drain discharge while CD had the opposite effect. When both methods were applied simultaneously, annual evapotranspiration increased 5–12% compared with the free drainage scenario. The effects of CRD on evapotranspiration were greatest during the dry years indicating that CRD has potential to reduce drought in food production areas. None of the CRD scenarios could maintain optimal WTDs during the entire growing season, highlighting the complexity of optimizing field water management using CRD alone.
Effect of mountainous rainfall on uncertainty in flood model parameter estimation
Authors: Lee Jeonghoon , Choi Jeonghyeon , Jang Suhyung , Kim Sangdan 
Published: February 2024

Abstract

Explaining the significant variability of rainfall in orographically complex mountainous regions remains a challenging task even for modern raingauge networks. To address this issue, a real-time spatial rainfall field estimation model, called WREPN (WRF Rainfall-Elevation Parameterized Nowcasting), has been developed, incorporating the influence of mountain effect based on ground raingauge networks. In this study, we examined the effect of mountainous rainfall estimates on the uncertainty of flood model parameter estimation. As a comparison, an inverse distance weighting technique was applied to ground raingauge data to estimate the spatial rainfall field. To convert the spatial rainfall fields into flood volumes, we employed the ModClark model, a conceptual rainfall–runoff model with distributed rainfall input. Bayesian theory was applied for parameter estimation to incorporate uncertainty analysis. The ModClark model demonstrated good flood reproducibility regardless of the estimation method for spatial rainfall fields. Parameter estimation results indicated that the WREPN spatial rainfall field, which accounted for the influence of the mountain effect, led to lower curve numbers due to higher estimated rainfall compared to the IDW spatial rainfall field, while the concentration time and storage coefficient showed minimal differences.
Bivariate regional drought frequency analysis using multivariate approaches: a case study in southwestern Iran
Authors: Pashaie Hanie , Nadoushani S. Saeid Mousavi , Moridi Ali , Ahani Ali 
Published: February 2024

Abstract
Bivariate approaches in Regional Frequency Analysis (RFA) address two issues: first, to evaluate the homogeneity of regions, and second, to estimate the joint return periods. This study was conducted to investigate the joint return period of a severe historical drought in southwestern Iran. Fifty-nine rain gauges were first clustered into three, four, and five regions using the fuzzy c-means clustering (FCM) algorithm. Then bivariate discordancy and homogeneity tests were applied to adjust the initial clusters. The results showed that only in the case of three clusters were all the regions homogeneous. Therefore, it can be inferred that combining clustering analysis and discordancy test is insufficient to form homogeneous regions. Finally, the joint return period, by choosing Generalized Logistic and Wakeby as marginal distributions and Clayton as a copula, was estimated for all the sites in the three regions. Since no three-parameter distribution function fitted well to the variable severity, the bivariate homogeneity index does not necessarily attest to region homogeneity regarding the marginal distribution functions. It is also deduced that sites with higher mean annual precipiataion (MAP) and, correspondingly, higher elevation are more likely to experience shorter return periods of same drought events, in contrast to sites with lower MAP or lower elevation.
High-expression of FABP4 in Tubules is a Risk Factor for Poor
Prognosis in DKD Patients
Authors: Huang Yao , Cui Xinyuan , Li Zheng , Yuan Shuguang , Han Yachun , Xu Xiangqing , Fu Xiao , Shi Kewen , Zhang Zurong , Wei Jinying , Xia Shiyu , Xiao Yang , Xue Song , Sun Lin , Liu Hong , Zhu Xuejing 
Published: February 2024

Background::
Lipid metabolism imbalance is involved in the mechanism of renal
tubular injury in diabetic kidney disease (DKD). Fatty acid binding protein 4
(FABP4) has been reported to participate in cellular lipid toxicity. However, the expression
of FABP4 in renal tissues of DKD and its correlation with clinical/ pathological parameters
and prognosis have not been studied.

Method::
A retrospective cohort study was conducted in 108 hospitalized Type 2 diabetes
(T2D) patients with renal injury, including 70 with DKD and 38 with NDKD
(non-DKD). Clinical features, pathological findings, and follow-up parameters were collected.
Serum and urine FABP4 were detected by ELISA. An immunohistochemistry
stain was used to determine FABP4 in renal tubulointerstitium. A double immunofluorescence
stain was employed to assess FABP4- and CD68-positive macrophages. Correlation
analysis, logistic regression models, receiver operating characteristic (ROC), and
Kaplan-Meier survival curve were performed for statistical analysis.

Results::
DKD patients had increased expression of FABP4 and ectopic fat deposition in
tubules. As shown by correlation analyses, FABP4 expression in renal tubules was positively
correlated with UNAG (r=0.589, p=0.044) and ESRD (r=0.740, p=0.004). Multivariate
regression analysis revealed that UNAG level was correlated with FABP4 expression
level above median value (odds ratio:1.154, 95% confidence interval:1.009-1.321,
p=0.037). High-expression of FABP4 in renal tubules of DKD was at an increased risk
of ESRD. Increased FABP4 expression in inflammatory cells was also associated with
ESRD in DKD.

Conclusion::
High-expression of FABP4 is involved in the pathogenesis of renal tubular
lipid injury and is a risk factor for poor prognosis in DKD patients
Liver-derived Exosomal miRNA in NAFLD: Mechanisms of Action,
Biomarkers, and Therapeutic Applications
Authors: Yang Jun , Tang Xiaolei , Chen Liang , Hu Junjie , Li Shan , Yuan Ming , Tian Xianxiang , Qiu Zhenpeng 
Published: February 2024

Abstract:
Nonalcoholic fatty liver disease (NAFLD) is of global concern due to its high
prevalence worldwide. NAFLD, as one of the most common causes of liver function abnormalities, is associated with obesity, insulin resistance, and type 2 diabetes mellitus,
and there are no medications available to treat NAFLD. Extracellular vesicles (EVs) are
nanosized, membrane-bound vesicles that deliver biomolecules between cells. Exosomes are a subtype of EVs that mediate intercellular communication by delivering proteins and RNAs. MicroRNAs (miRNAs) are a highly conserved class of small tissue-specific non-coding RNAs that influence the expression of many functionally interacting
genes. Hepatic-derived exosomal miRNAs are tightly associated with NAFLD occurrence and progression through multiple mechanisms. In addition, the characterization of
miRNAs suggests that they may serve as multifunctional biomarkers for NAFLD, be
used as clinical therapeutic targets for NAFLD, and be significant predictors of patient
prognosis. Here, we review recent advances in the regulation and function of exosome-derived miRNAs in NAFLD, focusing on miRNAs specifically expressed or enriched in hepatocytes (HCs), hepatic macrophages, hepatic stellate cells (HSCs), and
other immune cells in the liver. Finally, we discuss future research directions on exosomal miRNAs as biomarkers for NAFLD's diagnosis and clinical therapeutic targets
Recent Updates on the Therapeutics Benefits, Clinical Trials, and Novel
Delivery Systems of Chlorogenic Acid for the Management of Diseases with a
Special Emphasis on Ulcerative Colitis
Authors: Harwansh Ranjit K. , Bhati Hemant , Deshmukh Rohitas 
Published: February 2024

Abstract:
Ulcerative colitis (UC) is a multifactorial disorder of the large intestine, especially the colon, and
has become a challenge globally. Allopathic medicines are primarily available for the treatment and prevention
of UC. However, their uses are limited due to several side effects. Hence, an alternative therapy is of utmost
importance in this regard. Herbal medicines are considered safe and effective for managing human health
problems. Chlorogenic acid (CGA), the herbal-derived bioactive, has been reported for pharmacological effects
like antiinflammatory, immunomodulatory, antimicrobial, hepatoprotective, antioxidant, anticancer, etc.
This review aims to understand the antiinflammatory and chemopreventive potential of CGA against UC.
Apart from its excellent therapeutic potential, it has been associated with low absorption and poor oral bioavailability.
In this context, colon-specific novel drug delivery systems (NDDS)are pioneering to overcome these
problems. The pertinent literature was compiled from a thorough search on various databases such as ScienceDirect,
PubMed, Google Scholar, etc., utilizing numerous keywords, including ulcerative colitis, herbal
drugs, CGA, pharmacological activities, mechanism of actions, nanoformulations, clinical updates, and many
others. Relevant publications accessed till now were chosen, whereas non-relevant papers, unpublished data,
and non-original articles were excluded. The present review comprises recent studies on pharmacological activities
and novel drug delivery systems of CGA for managing UC. In addition, the clinical trials of CGA against
UC have been discussed.
A Narrative Review on Diabetic Ketoacidosis in Children
Authors: Leung Karen K.Y. , Tung Joanna Y.L. , Lee Yan Tung Kelly , Tsang Stephanie , Hon Kam Lun 
Published: February 2024

Background:
Diabetic ketoacidosis (DKA) is a life-threatening complication in children
with diabetes mellitus. There are considerable differences in the management approaches for
DKA between different countries. One of the main areas of differences between guidelines is the
administration of fluid, with most guidelines adopting a restrictive approach. This is based on the
concern over cerebral oedema, a lethal sequela allegedly to be caused by excessive fluid administration.
However, in recent years, new clinical studies suggest that there is no causal relationship
between intravenous fluid therapy and DKA-related cerebral injury. The British Society of Paediatric
Endocrinology updated its guideline in 2020 to adopt a more permissive approach to fluid administration,
which has sparked controversy among some paediatricians.

Objectives:
The purpose of this article is to provide a narrative review on the management of
DKA.

Methods:
A PubMed search was performed with clinical queries using the key term “diabetic ketoacidosis”.
The search strategy included randomized controlled trials, clinical trials, meta-analyses,
observational studies, guidelines, and reviews. The search was restricted to English literature
and the age range of 18 years and younger. Moreover, we reviewed and compared major guidelines.

Conclusion:
The management of DKA involves early recognition, accurate diagnosis, meticulous
fluid and insulin treatment with close monitoring of blood glucose, ketones, electrolytes, renal
function, and neurological status. There is still limited clinical evidence to support either a restrictive
or permissive approach in the fluid management of paediatric DKA patients. Clinicians
should exercise caution when applying different guidelines in their clinical practice, considering
the specific circumstances of individual paediatric patients.
What Do We Know about Neonatal Diabetes caused by PDX1 Mutations?
Authors: de Souza Ritiele Bastos , Cabello Pedro Hernán , Rosado Eliane Lopes , Junior Mário Campos , de Medeiros Abreu Gabriella 
Published: February 2024

Introduction:
Neonatal diabetes mellitus (NDM) is characterized by severe hyperglycemia,
usually diagnosed in the first few months of an individual’s life. It is a genetic disease
and one of the main forms of monogenic diabetes. Changes in different genes have already been
associated with NDM, including changes in the gene PDX1.

Methods:
In this review, we intend to summarize all neonatal diabetes cases caused by PDX1
mutations reported in the literature. For this purpose, we searched keywords in the literature
from PubMed and articles cited by the HGMD database. The search retrieved 84 articles, of
which 41 had their full text accessed. After applying the study exclusion criteria, nine articles
were included.

Results:
Of those articles, we detected thirteen cases of NDM associated with changes in PDX1;
the majority in homozygous or compound heterozygous patients. Until now, variants in the
PDX1 gene have been a rare cause of NDM; however, few studies have included the screening of
this gene in the investigation of neonatal diabetes.

Conclusion:
In this review, we reinforce the importance of the PDX1 gene inclusion in genetic
NGS panels for molecular diagnosis of NDM, and systematic morphological and functional exams
of the pancreas when NDM is present.
EGFR Kinase Inhibiting Amino-enones for Breast Cancer; CADD Approach
Authors: Gladies Raymond Mohanraj Deena , Alagumuthu Manikandan , Chellam Subha , Suresh Kumar Abishek , Nagaraj Poojari Tejaswini , Suresh Kumar Jeevitha , Subramaniam Palaniraja 
Published: February 2024

Background::
The Computer-Aided Drug Discovery (CADD) approach was used to develop a
few Epidermal Growth Factor Receptor (EGFR) kinase inhibitors. EGFR kinase expression is
highly associated with genomic instability, higher proliferation, lower hormone receptor levels,
and HER2 over-expression. It is more common in breast cancer. Thus, EGFR Kinase is one of
the main targets in discovering new cancer medicine.

Objective::
To computationally validate some amides substituted β-amino enones as EGFR inhibitors
and to carry out associated in vitro anticancer agents

Methods::
We used tools such as molecular docking, MD simulations, DFT calculations, and
ADMET predictions in silico to establish a preliminary SAR. In vitro, we used BT474
(ER+HER2+) and MCF-7 (ER-HER2) cell lines along with normal breast cell epithelial cells
(MFC-10a) for anticancer studies and EGFR kinase inhibition assay studies. As the Reactive
Oxygen Species (ROS) plays the main role in cancer development, we also analyzed the antioxidant
potentials of these compounds.

Results::
Among the family of eleven amides substituted (Z)-β-amino enones (5a-k), compounds
5b, 5c, 5g, and 5h showed valuable in silico and in vitro bio-activity. Remarkably, the in-silico
results almost coincided with in vitro study results.

Conclusion::
We recommend compounds 5b, 5c, 5g, and 5h for pre-clinical and clinical evaluation
to establish them as future cancer therapeutics