bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular characterization and drug susceptibility of Acinetobacter baumannii infection in children from a third-level hospital in Mexico
Authors: Bejarano José Iván Castillo , Díaz Jorge Llaca , Cavazos Manuel Enrique de la O , Santos Abiel Homero Mascareñas de los , Samaniego Rebeca Aguayo , Aparicio Denisse Vaquera , Vega Nestor Casillas 
Published: April 2023

Abstract
Objectives
Acinetobacter spp. has become a threat public health threat due to the high prevalence of multidrug-resistant strains. There is limited information on the clinical and molecular features of carbapenem-resistant A. baumannii (CRAB) infections in children. Our study aimed to describe the clinical and molecular characteristics of CRAB infections among pediatric patients at a tertiary center in Mexico.
Methods
Consecutive cases of CRAB infections were recorded between 2017–2022. Clinical and demographic data were collected from clinical records. Identification of the strains was carried out through mass spectrometry. Confirmation of A. baumannii strains was done using a PCR method based on gyrB sequence. Additionally, PCR was used to detect the presence of carbapenemase-encoding resistance genes.
Results
49 CRAB infections were reported, 69.3% (n = 34) female. 44.8% (n = 22) were neonates. The median hospital length of stay was 32 days (interquartile range [IQR], 19–60). 48.9% of the isolates were recovered from bronchial secretions. Most of the antibiotic groups exhibited a co-resistance rate exceeding 40%. All carbapenem-resistant strains carried blaOXA−51, and blaOXA−24 genes. BlaIMP genes were detected in half of the cases, with all strains co-harboring blaOXA−24 genes.
Conclusion
The study showed a high prevalence of CRAB infections in neonates, along with a high prevalence of co-resistance to antibiotics, and a high rate of isolates carrying blaOXA-24, and blaIMP genes. CRAB poses a major threat due to the mortality rate and limited therapeutic options, it is imperative to urgently halt the propagation of carbapenem-resistant Acinetobacter baumannii.
Whether child nutrition is prioritized in Kerala? An exploration of the Integrated Child Development Services Programme
Authors: Jayalakshmi Rajeev , Kannan Srinivasan 
Published: April 2023

Abstract
Background
Kerala, a southern state of India well-known for its human development, is lagging to tackle undernutrition among children below five years in the last decade even though one in five children experience at least one form of nutritional deficiency. The present paper examines the prioritization of child nutrition in the political agenda of Kerala and the implementation of the Integrated Child Development Services (ICDS) programme.
Methods
Thirty in-depth interviews with ICDS service providers and policymakers, and document analyses (ICDS Manual for District-level Functionaries − 2017, Legislative Assembly questions, and field diaries) were done. The interviews were conducted and transcribed in Malayalam and later translated into English. A thematic analysis of the interviews and content analysis documents were done.
Results
Major themes that emerged from the analysis were inadequate facilities; undue importance of perfect documentation rather than the operationalization of ICDS services; parents’ expectations about their children’s education; the helplessness of AWWs to persuade parents to give their children supplementary nutrition or send them to AWCs; job burden of AWWS and ICDS supervisors and the lack of earnestness with regard to the importance of adequate nutrition; cutting the budget for implementing ICDS; timely disbursal of allocated budget and stopping the training for AWWs; and poor cross-sectoral convergence were found to affect the achievement of nutrition goals of ICDS.
Conclusion
The study revealed that child nutrition is not a prioritised political agenda, which is reflected in the implementation of ICDS and services rendered through the programme. Parents’ perspectives on the need and functions of ICDS matter in terms of service utilization. Reforms without considering them will not help to achieve the objectives.
Can the performance of pyrethroid-chlorfenapyr nets be reduced when combined with pyrethroid-piperonyl butoxide (PBO) nets?
Authors: Syme Thomas , Nounagnon Judicaël , N’dombidjé Boris , Gbegbo Martial , Agbevo Abel , Ahoga Juniace , Ngufor Corine 
Published: April 2023

Abstract
Background
Pyrethroid-chlorfenapyr (CFP) and pyrethroid-piperonyl butoxide (PBO) nets are being scaled across endemic countries to improve control of malaria transmitted by pyrethroid-resistant mosquitoes. CFP is a pro-insecticide requiring activation by mosquito cytochrome P450 monooxygenase enzymes (P450s) while PBO improves pyrethroid potency by inhibiting the action of these enzymes in pyrethroid-resistant mosquitoes. The inhibitory action of PBO against P450s may thus reduce the efficacy of pyrethroid-CFP nets when applied inside the same household as pyrethroid-PBO nets.
Methods
We performed two experimental hut trials to evaluate the entomological impact of two different types of pyrethroid-CFP ITN (Interceptor® G2, PermaNet®Dual) when applied alone and in combination with pyrethroid-PBO ITNs (DuraNet®Plus, PermaNet®3.0) against a pyrethroid-resistant vector population in southern Benin. In both trials, all net types were tested as single and double net treatments. We also performed bioassays to assess the resistance profile of the vector population at the hut site and investigate interactions between CFP and PBO.
Results
The vector population was susceptible to CFP but exhibited a high intensity of pyrethroid resistance that was overcame by PBO pre-exposure. Vector mortality was significantly lower in huts with combinations of pyrethroid-CFP nets plus pyrethroid-PBO nets compared to huts with two pyrethroid-CFP nets (57–75% vs. 83–85%, p<0.001). PBO pre-exposure reduced the toxicity of CFP in bottle bioassays suggesting this effect may be partly attributable to antagonism between CFP and PBO. We observed higher levels of vector mortality in huts with net combinations that included pyrethroid-CFP nets compared to those that did not and highest mortality was achieved when pyrethroid-CFP nets were applied alone as a single net (68–82%) and as two nets together (83–85%).
Conclusions
This study shows evidence of a reduced performance of pyrethroid-CFP nets when combined with pyrethroid-PBO ITNs compared to when applied alone and higher efficacy with net combinations that included pyrethroid-CFP nets. Our findings therefore suggest that in similar contexts, prioritising distribution of pyrethroid-CFP nets over other net types would maximise vector control impact.
Hydrogeological aspects of the municipal water supply of Albania; experience and problems
Authors: Eftimi Romeo 
Published: April 2023

Abstract
The municipal water supply, mainly related with the cities, in Albanian began to develop in the second half of the 19th century and particularly after 1945. Today, the total capacity of water supply systems mainly for the citiescorresponds to an average rate about 300 l/day per capita. The territory of Albania consists of uneven distribution of very heterogeneous aquifers. In this article are classified and analyzed the water supply sources of the settlements, which are summarized in five groups: a) Wells in alluvial intergranular aquifers; b) karst springs; c) wells in karst aquifers; d) springs in fissured rocks, and e) mixed water sources like: karst springs, drilling wells and surface water. For each group of the water supply sources are analyzed the main concerns regarding the quantity and quality and many examples are given how are solved the problems. Beside this, some recommendations also are given for a sustainable groundwater water supply management, especially related to monitoring and control of the water supply systems and of the aquifers in general, emphasizing the transboundary aquifers as well as consequences of the climate changes. However, the main problems of public water supply of Albania remain the poor management of water supply systems which is reflected in the e high water losses, as well as the low public awareness of request for sustainable use.
Haplotype-resolved genome assembly provides insights into the floral scent of Rosa rugosa
Authors: Cheng Xi , Gao Dan , Wang Hongli , Wang Guoliang , Chen Dongliang , Luo Chang , Liu Hua , Wang Tianyi , Jiao Chengzhi , Zhang Kezhong , Jiang Bei-bei Jiang , Huang Conglin 
Published: April 2023

Abstract

Rose is an important aromatic plant and produces flowers that are used in medicine and food. We herein present a haplotype-resolved genome forRosa rugosacultivar Hanxiang. Analyses of allele-specific expression identified a potential mechanism underlying floral scent biosynthesis. Population genomic analyses involving 133Rosaaccessions elucidated evolutionary histories and a singleR.rugosadomestication event. Pathways mediating the synthesis of scent-related metabolites were enriched according to the analyses of the transcriptomes, haplotype variations, and allelic imbalances during the flower development stages of Hanxiang and Guomeigui (R. rugosaaccessions with diverse fragrances). The enzyme-encoding ASE genesRrHX1G119800andRrHX1G204700(primary amine oxidases) andRrHX2G284700(L-tryptophan decarboxylase) in the phenylethylamine pathway were tentatively designated as core genes useful for improving 2-phenylethanol production in rose flowers. Our results provide molecular insights into the formation ofR. rugosafloral fragrances and genome-level data that are useful for enhancing rose traits via genetic engineering.
Time Series Classification using ResNet Ensemble
Authors: M Monisha , P Blessed Prince 
Published: April 2023

Abstract
One of the vital tasks in Time Series analysis is classifying time series data. This has attracted considerable interest and huge efforts in the past decades. This is still a challenging problem because of the complexity and nature of time series data. They are huge, complex, and constantly updated. There is an increasing demand to extract knowledge from time-series data. The time series has a natural feature that helps humans to visualize the structure of data. Increased interest in studying this particular data type has been sparked by the growth of recorded data, leading to a wealth of unique techniques for encoding, indexing, grouping, and categorising time series, among other tasks. To enhance the performance of traditional feature-based approaches, deep learning techniques were explored. Deep Neural Networks have revolutionized computer vision with their innovative deeper architec-tures like Residual Neural Networks and Convolutional Neural Networks. In this paper, the proposed deep learning architecture improves the performance of Residual Network for time series classification.
Stub Signature-Based Efficient Public Data Auditing System using Dynamic Procedures in Cloud Computing
Authors: Goswami Paromita , De Sumana , Debnath Somen , Neetu Neetu Faujdar , Tanupriya Tanupriya Choudhury 
Published: April 2023

Abstract
Online cloud data storage is a rapidly growing pillar of the IT industry that offers data owners an array of attractive developments in highly sought-after online scalable storage services. Cloud users can easily access these services and have the flexibility to manage their process data effectively without worrying about the deployment or maintenance of personal storage devices. As a result, the number of cloud users has increased to purchase these convenient and cost-effective services, while CSPs are also rising to meet this demand for appealing cloud solutions. However, there is one major security issue related to outsourced data on shared cloud storage: its privacy and accuracy cannot be guaranteed as it may be vulnerable to unauthorized access by malicious insiders or hackers from outside sources. To address this problem, we suggest implementing partial signature-based data auditing systems so that both privacy and accuracy can be fortified while reducing the computational cost associated with auditing processes significantly. This system would involve using cryptographic techniques such as homomorphic encryption and hash functions, which would enable secure sharing between multiple parties while ensuring integrity checks on stored files at regular intervals for any potential tampering attempts made by external attackers or malicious insiders who may try to gain unauthorized access into confidential user information stored within cloud sites.Another benefit of the plan is that it supports dynamic operation on outsourced data. Our research work may achieve the desired security qualities, according to the security analysis, and it is effective for real-world applications, as demonstrated by simulation outcomes of dynamic operations on various numbers of data blocks and sub-blocks
Prognostic value of tumor-associated regulatory T-cells as a biomarker in non-small cell lung cancer: a systematic review and meta-analysis
Authors: Khambholja Kapil , Gehani Manish , Kothari Rushabh , Marulkar Sachin 
Published: April 2023

Abstract
Background

Despite continuous improvement, tumor, nodes, and metastases (TNM) staging has been deficient in prognosticating in patients suffering from non-small cell lung cancer (NSCLC). To supplement TNM staging, this systematic review and meta-analysis aimed to evaluate the prognostic value of the regulatory T cells (Treg).

Methods

A keyword search was conducted in the MEDLINE database through PubMed for full-text original human studies from any region published in English during the last 10 years. Eligible for inclusion were studies evaluating the prognostic value of the number of Treg cells and pre-specified biomarkers in NSCLC. Case studies, case series, systematic reviews, and meta-analyses were excluded. Two reviewers independently screened the studies and assessed risk-of-bias using the Quality in Prognosis Studies (QUIPS) tool. One reviewer used an automation tool for screening, which was also used to facilitate data extraction. Meta-analysis was done for studies reporting significant multivariate hazards ratio (HR).

Results

Out of 258 retrievals, 19 studies were included in the final review. The low number of Treg cells was found significantly associated with improved overall survival (pooled log OR: 1.626; 95% CI: 1.324, 1.928; p (2-tailed) < .001; SE: 0.1174), improved recurrence-free survival (HR: 1.99; 95% CI: 1.15, 3.46; p = .01), and worse disease-free survival (pooled log OR: 0.992; 95% CI: 0.820, 1.163; p (2-tailed) .009; SE: 0.0135), especially when identified by forkhead box P3 (FOXP3), in any stage or non-metastatic NSCLC.

Conclusion

A low number of Treg cells indicated better survival, suggesting its potential use as a prognostic biomarker in NSCLC.

Systematic review registration

The protocol of this review was prospectively registered on PROSPERO on August 28, 2021, and was assigned the registration number CRD42021270598. The protocol can be accessed from PROSPERO website.
Subtypes of High-Grade Breast Ductal Carcinoma In Situ (DCIS) - Incidence and potential clinical impact
Authors: Schandiz Hossein , Park Daehoon , Kaiser Yan Liu , Lyngra Marianne , Talleraas Inger Solvang , Geisler Jürgen , Sauer Torill 
Published: April 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
Hydrological modelling of largest braided river of India using MIKE Hydro River software with rainfall runoff, hydrodynamic and snowmelt modules
Authors: Pareta Kuldeep 
Published: April 2023

Abstract
The Brahmaputra River is one of the world's largest river systems, India's largest braided river, and its springtime runoff and downstream streamflow are mostly due to snowmelt processes. This study analysed and used Tropical Rainfall Measuring Mission (TRMM)/Global Forecast System (GFS) rainfall, PET, and snowmelt data as inputs to a Rainfall–Runoff (RR) model, which is based on the MIKE Hydro River NAM software package. The mathematical model was calibrated against the available observed discharge data for the sub-catchments. The model performed reasonably well and simulated discharge in good agreement with observed discharge in terms of timing, rate, volume, and shape of the hydrograph. During the calibration procedure, the optimum values of the nine RR-NAM parameters are obtained. The performance of each model has been checked against measured discharge using a coefficient of determination (R2). It is observed that the value of R2 varies from 0.6 to 0.86. This is deemed acceptable for the purposes of this study. In addition to R2, the overall Water Balance error is also checked. The WBL error is less than 6%. Despite the inherent uncertainties in hydrological modelling, it is determined that the calibrated RR-NAM model can be utilized for the Brahmaputra basin's Flood Forecasting and Early Warning System design, as well as water resource management and planning.
First Approval of Adagrasib for the Treatment of Non-Small Cell
Lung Cancer Harboring a KRASG12C Mutation
Authors: De Surya K. 
Published: April 2023

Abstract:
Adagrasib is an orally bioavailable, highly selective, small-molecule, irreversible
covalent inhibitor of KRASG12C. It was approved by the US FDA on December 12,
2022, for patients with tumors harboring the KRASG12C mutation in locally advanced or
metastatic non-small cell lung cancer (NSCLC). Herein, synthesis, dosage and administration,
mechanism of action, pharmacokinetics, pharmacodynamics, and adverse events
of adagrasib are described.
Pomegranate and Cognitive Performance: A Systematic Review
Authors: Molani-Gol Roghayeh , Foroumandi Elaheh , Alizadeh Mohammad , Kheirouri Sorayya 
Published: April 2023

Background:
Cognitive dysfunction, such as dementia, is the most common neurological disorder
that affects memory, perception, learning, and problem-solving. Emerging evidence suggests that nutritional
factors may prevent or accelerate the incidence of neurodegenerative diseases.

Objective:
This systematic review was designed to evaluate the association between pomegranate treatment and
cognitive function.

Methods:
PubMed, Embase, Google Scholar, and Scopus databases were searched to extract original animal
and human studies published until July 2021 without date restrictions. Firstly, 215 studies were retrieved via the
search strategy. Irrelevant and duplicated studies were screened out, and critical analysis was used to obtain data.
The articles' quality and bias risks were assessed by OHAT and Cochrane Collaboration’s quality assessment
tools.

Results:
Finally, 24 articles (20 animal and 4 randomized controlled trial studies) were included in this review.
All included animal and human studies indicated that pomegranate treatment was positively associated with
improving specific domains of cognitive function.

Conclusions:
Our findings demonstrated that pomegranate treatment could improve cognitive function. Therefore,
including pomegranate intake during daily life may lower the risk of cognitive impairment at the population
level.
A Comprehensive Review of Structures, Structure-activity Relationships,
Extractions, and Bioactivities of Flavonoids from Citrus medica
Authors: Chen Jie , He Nengxin , Wang Qinyuan , Wu Guang , Wu Wenxia , Xin Qiang , Cheng Guangyu , Sang Zhipei , Zhu Caiqing , Wu Yongzhong , Wei Rongrui , Ma Qinge 
Published: April 2023

Background::
Citrus medica is a kind of medicinal and edible plant. It not only contains rich nutrients but also has a variety of therapeutic functions, including relieving pain, harmonizing the stomach, removing dampness, reducing phlegm, cleaning the liver, and relieving qi in traditional Chinese diagnosis.

Methods::
The references of C. medica were mainly collected from the online database, such as PubMed, SciFinder, Web of Science, Google Scholar, Elsevier, Willy, SpringLink, and CNKI. The other related references were sorted by consulting books and documents.

Results::
This review summarized and analyzed the different types of flavonoids of C. medica, including flavone-O-glycosides, flavone-C-glycosides, dihydroflavone-O-glycosides, flavonol aglycones, flavonoid aglycones, dihydroflavonoid aglycones, and bioflavonoids. The extraction methods of flavonoids were summarized in this review. Meanwhile, the multiple bioactivities of these flavonoids, including anti-atherosclerotic, hypolipidemic, anti-oxidant, hypoglycemic, and other activities. Their structure-activity relationships were reviewed and discussed in this paper.

Conclusions::
This review summarized the different extraction methods of diverse flavonoids with multiple bioactivities of C. medica, and their structure-activity relationships were discussed in this paper. This review may provide a valuable reference for researching and exploiting C. medica.
Metabolomics Study of the Hepatoprotective Effects and Mechanism of
Aqueous Extract of Dendrobium nobile Lindl. on Alcoholic Liver Injury in
Rats
Authors: Wang Qiyi , Shan Bingbing , Cheng Weina , He Tianmu , Chen Kuan , Zhang Jianyong , Duan Cancan 
Published: April 2023

Background:
Dendrobium nobile Lindl. (DNL) is effective for the treatment of alcoholic
liver disease (ALD), but the underly mechanism is still unclear.

Objectives:
This research aimed to investigate the effects and mechanism of the aqueous extract of
Dendrobium nobile Lindl (AEDNL) in ALD rats based on a metabolomics approach.

Materials and Methods:
In this study, 18 Sprague-Dawley male rats were randomly divided into
control, model, and AEDNL groups (n=six). Rats in the AEDNL group were given AEDNL (152
mg/kg) intragastric administration from the first day for 30 consecutive days. From day 15 to day
30, model and AEDNL groups were given 30% ethanol (10 ml/kg) after 4 h of daily administration.
Then, serum and liver samples were collected for biochemical analysis, histopathological examination,
and Ultra Performance Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry
(UPLC-Q-TOF/MS) determination for metabolomic analysis.

Results:
Compared with the model group, the liver/body weight index and serum levels of TC,
LDL-C, and TBIL in the AEDNL group were significantly decreased. Hepatocyte cord arrangement,
hepatocyte balloon, and fat vacuolization were significantly improved in the AEDNL group.
Metabolism profiles were changed in the model and AEDNL groups. Seven and two common differential
metabolites (Guanosine3',5'-cyclic monophosphate, and Glutaric acid) were found in serum
and liver, respectively. In addition, the hepatoprotective effect of AEDNL on ALD was related
to steroid hormone biosynthesis, riboflavin metabolism, and glycerophospholipid metabolism.

Conclusion:
The research could provide novel evidence of the protective effects of AEDNL on
ALD.
Post Covid Juvenile Dermatomyositis with Non Hodgkins Lymphoma in a
Child: A Case Report
Authors: Thakur Neha , Malhotra Kiran Preet , Singh Pradyumun 
Published: April 2023

Introduction::
Juvenile dermatomyositis (JDM), a rare multisystemic autoimmune dis-ease of unknown cause, leads to chronic inflammation of both striated and smooth muscles. SARS -Co V2 virus infection in children generally remain asymptomatic. However, in some children it leads to a detailed immunological response named as multisystem inflammatory syndrome in chil-dren (MIS-C). Post recovery, occasionally, children are susceptible to other autoimmune disorders.

Case Presentation::
Our case post MIS-C developed JDM. 8-year-old malnourished child developed proximal myopathy of both upper and lower limbs post recovery from COVID 19. His disease se-verity increased within a short span of time and he went on to develop contractures and deformity of both upper and lower limbs. He developed an uncommon complication of JDM in form of high-grade non-Hodgkin’s lymphoma.

Conclusion::
This case highlights the importance of long-term complications of COVID-19 in chil-dren which would gradually evolve in the next few years.