bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Construction of a Physical Literacy Assessment Index System for Junior High School Students: A Chinese Study
Authors: Gao Mingze , Che Wen , Qi Shenghua 
Published: March 2024

Abstract

In recent years, in the context of the internalisation of education in China, overcompetitive "points-only" education has adversely affected the physical health of Chinese children and adolescents, resulting in a severe lack of physical literacy among junior high school students. Therefore, this study aimed to construct a physical literacy assessment index system for junior high school students with Chinese characteristics and quantify the weights of each domain to provide a way for students to inquire about and self-assess the sustainable development of their physical literacy. The indicator system was modelled on the CAPL-2, and valid indicators were extracted from the retrieved literature and constructed through several expert questionnaire surveys to construct a preselected indicator system for the physical literacy of junior high school students. Sixteen experts participated in three rounds of Delphi surveys until a consensus was reached on the indicators, and the experts’ opinions were used to establish a theoretical model based on hierarchical analysis of hierarchical systems (AHP) to determine the subdomains and weights of the items. The AHP was used to determine the weights of the subdomains and items of the assessment system. The weight scores of the indicators of the physical literacy assessment index system for junior high school students in China were adapted to the core idea of the physical literacy concept, which consists of four first-level indicators, eight second-level indicators and 26 third-level indicators. Through the use of the AHP to establish a progressive hierarchical model and after the consistency test, the weights of the indicators of physical literacy assessment for junior high school students in China were calculated, in which the importance of the first-level indicators decreased in the order of physical ability (29.82%) > motivation and confidence (29.64%) > knowledge and understanding (20.27%) = daily behaviour (20.27%). The system met the needs of comprehensive assessment of the effectiveness of junior high school students in terms of physical activity and health promotion and provided a good solution for the needs of junior high school students in terms of physical activity and health promotion. This system meets the demand for a comprehensive assessment of the effectiveness of physical activity and health promotion for junior high school students and provides a scientific basis for the development of precise and personalised physical activity and health promotion programmes.
An analysis of the dynamic relationship between cryptocurrency uncertainty and white precious metals
Authors: imen omri 
Published: March 2024

Abstract
This study focuses on analyzing the behavior of the white precious metals market in response to changes in cryptocurrency uncertainty. It provides new insights into the dynamic relationships between these two asset classes. The study uses a quantile regression approach, impulse response functions analysis, and forecast error variance decomposition estimation. The main findings of this paper suggest that the two novel uncertainty measures, namely UCRY policy and UCRY price uncertainty indexes, do not have a significant effect on silver, platinum, and palladium returns. This implies that they do not lead to destabilizing effects in the precious metal market. Therefore, white precious metals are not viewed as a substitute for cryptocurrencies and do not respond to changes in cryptocurrency markets.
Hence, the study suggests that white precious metals may be a useful diversification tool for investors looking to hedge against risks in the cryptocurrency market.
JEL classification G11, G15, G17, G32
Unveiling the Potential of Chitosan Nanoparticles and Jojoba Oil for Optimizing Poly(lactic acid) Characteristics: Insights into Physico-chemical Attributes and Crystallization Mechanisms
Authors: Elsawy Moataz A. , Ali E. S. , Chritiansen Jesper Claville , Saad Gamal. R. 
Published: March 2024

Abstract
Poly(lactic acid), PLA, loaded with chitosan nanoparticles, CsNP, (3.0%, w/w) and jojoba oil, JO, (3.0%, w/w), as a plasticizer, were prepared by twin screw extrusion. The manufactured PLA/CsNP, PLA/JO and PLA/CsNP/JO compounds were characterized by differential scanning calorimetry (DSC), thermogravemetric analysis (TG), tensile testing, Izod impact test and wide angle X-ray diffraction (WAXD). The PLA/CsNP, PLA/JO and PLA/CsNP/JO compounds exhibited improved elongation and impact strength compared with neat PLA. The presence of JO slightly improved the thermal stability of PLA, while CsNP decreased the thermal stability of the PLA. The incorporation of CNPs and JO accelerated the cold crystallization rate of PLA, which is related to a nucleation effect of the CsNP and increase of the chain mobility as a plasticization effect of the JO. No modification in crystalline structure of PLA was observed as a result of the presence of the CsNP and the JO. Avrami equation was employed to describe the cold and melt isothermal crystallization process of neat PLA and PLA/CNP composite with and without JO. The combination additives of CsNP and JO accelerated the crystallization rate in a less extent than CsNP or JO alone.
Comparison of the performance of SWAT and hybrid M5P tree models in rainfall–runoff simulation
Authors: Kumar Shailesh , Pandey K. K. , Ahirwar Ajay 
Published: March 2024

Abstract

Stream flow forecasting is a crucial aspect of hydrology and water resource management. This study explores stream flow forecasting using two distinct models: the Soil and Water Assessment Tool (SWAT) and a hybrid M5P model tree. The research specifically targets the daily stream flow predictions at the MH Halli gauge stations, located along the Hemvati River in Karnataka, India. A 14-year dataset spanning from 2003 to 2017 is divided into two subsets for model calibration and validation. The SWAT model's performance is evaluated by comparing its predictions to observed stream flow data. Residual time series values resulting from this comparison are then resolved using the M5P model tree. The findings reveal that the hybrid M5P tree model surpasses the SWAT model in terms of various evaluation metrics, including root-mean-square error, coefficient of determination (R2), Nash–Sutcliffe efficiency, and degree of agreement (d) for the MH Halli stations. In conclusion, this study shows the effectiveness of the hybrid M5P tree model in stream flow forecasting. The research contributes valuable insights into improved water resource management and underscores the importance of selecting appropriate models based on their performance and suitability for specific hydrological forecasting tasks.
Molecular characterization and prevalence of β-lactamase-producing Enterobacterales in livestock and poultry slaughterhouses wastewater in Iran
Authors: Sardari Mehran , Manouchehrifar Meysam , Hasani Kamal , Habibzadeh Nasrin , Doghaheh Hadi Peeri , Azimi Taher , Arzanlou Mohsen 
Published: March 2024

Abstract
Beta-lactamase-producing Enterobacterales bacteria cause severe hard-to-treat infections. Currently, they are spreading beyond hospitals and becoming a serious global health concern. This study investigated the prevalence and molecular characterization of extended-spectrum β-lactamase and AmpC-type β-lactamase-producing Enterobacterales (ESBL-PE, AmpC-PE) in wastewater from livestock and poultry slaughterhouses in Ardabil, Iran. A total of 80 Enterobacterales bacteria belonging to 9 species were identified. Among the isolates, Escherichia coli (n = 21/80; 26.2%) and Citrobacter spp. (n = 18/80; 22.5%) exhibited the highest frequency. Overall, 18.7% (n = 15/80) and 2.5% (n = 2/80) of Enterobacterales were found to be ESBL and AmpC producers, respectively. The most common ESBL producer isolates were E. coli (n = 9/21; 42.8%) and Klebsiella pneumoniae (n = 6/7; 85.7%). All AmpC-PE isolates belonged to E. coli strains (n = 2/21; 9.5%). In this study, 80% of ESBL-PE and 100% of AmpC-PE isolates were recovered from poultry slaughterhouse wastewater. All ESBL-PE and AmpC-PE isolates were multidrug-resistant. In total, 93.3% of ESBL-PE isolates harbored the blaCTX-M gene, with the blaCTX-M-15 being the most common subgroup. The emergence of ESBL-PE and AmpC-PE in wastewater of food-producing animals allows for zoonotic transmission to humans through contaminated food products and contaminations of the environment.
Rejection of malathion by nanofiltration and reverse osmosis membranes exposed to foulant and two clean-in-place procedures
Authors: Mikelonis Anne M. , Orme Christopher J. , Nilkar Amit S. , Szabo Jeffrey G. , Reese Stephen J. 
Published: March 2024

ABSTRACT

This research tested the treatment efficacy of an Energy Savings Nanofiltration 1 Low Fouling (ESNA 1-LF) nanofiltration (NF) and an Energy Saving Polyamide 2 (ESPA2) reverse osmosis (RO) membrane for removing malathion from water. Both membranes are of composite polyamide construction. The study included measuring malathion rejection using both pristine membranes and membranes exposed to a simulated secondary wastewater effluent foulant before and after two types of clean-in-place procedures. Across all conditions studied, malathion rejection ranged from 84 to 95% for the ESNA1-LF NF membrane and 77 to 94% for the ESPA2 RO membrane. Contact angle measurements were also collected for each membrane exposure condition. While the contact angle measurements indicated changes to the hydrophobicity of the selective layer of the membranes, they did not correlate to changes in the performance of malathion rejection. As expected, it was observed that malathion rejection improved with the introduction of foulant. Also, the clean-in-place procedures helped restore flux while maintaining malathion rejection.
Arsenic-methylating microbial community in sediment along the water flow is correlated with the distance to a low-temperature hot spring
Authors: Yang Ye , Yu Yanli , Chen Xiaoming 
Published: March 2024

Abstract

Microbially mediated arsenic methylation, remains understudied in subgeothermal environments. This study aimed to investigate the activity and diversity of arsM-carrying microorganisms in sediment samples (termed YC1, YC2, and YC5) from a low-temperature hot spring. Microcosm assays revealed that only YC1 and YC2 exhibited limited As-methylating activities, generating a maximum of 2.3–3.5 μg/L methylarsenate (MMA) and 2.2–2.8 μg/L dimethylarsenate (DMA). The addition of lactate and arsenite significantly promoted these activities, increasing the concentrations to 26.1–184.0 μg/L MMA and 38.1–204.0 μg/L DMA. The arsM gene abundance also increased by 46–276%, indicating that lactate can activate arsenite methylation. YC1 and YC2, which were closer to the hot spring hole than YC5 was, had similar patterns, and shared a similar arsM community structure, dominated by Actinobacteriota, Firmicutes, and Proteobacteriota on days 7 and 21. In contrast, at YC5, the sampling site far from the spring hole, representatives of Acidobacteriota were dominant on day 7, whereas those of Actinobacteriota were prevalent on day 21. Acidobacteriota co-occurred with dimethylarsenate production, and Mycobacterium co-occurred with DMA demethylation. These findings suggested that the low-temperature arsenic hot spring possessed diverse arsenic-methylating species, whereas demethylating bacteria preferred to inhabit niches farther from the hot spring.
Identification of PLAC8 as a Potential Biomarker for the Diagnosis of
Interstitial Cystitis
Authors: Li Peng , Xu Mingwei , Zhang Zhilei , Zhang Xiangyan , Xie Fei , Zhang Xiaofei 
Published: March 2024

Background::
Interstitial cystitis is a diagnosis of exclusion due to the complexity of
its etiology and pathology, which is a chronic disease with an unknown etiology. To our
knowledge, few studies were performed to identify predictive biomarkers for interstitial cystitis.

Objective::
This study aimed to identify and validate potential biomarkers for interstitial cystitis
(IC).

Methods::
The interstitial cystitis datasets were retrieved from the Gene Expression Omnibus
(GEO) database. Differentially expressed genes (DEGs) were identified by using the R package
and were subjected to functional and pathway enrichment analysis. Key biomarkers of interstitial
cystitis were identified by using Lasso regression analysis and the SVM-RFE algorithm. The
diagnostic value of key biomarkers was validated in internal and external datasets, and pathways
that relate to biomarkers of interstitial cystitis were screened. The ssGSEA was employed to
identify the immune cells closely related to biomarkers. The expression of PLAC8 in patients
with interstitial cystitis was detected by immune-histochemistry (IHC).

Results::
Sixteen differentially expressed genes associated with interstitial cystitis were identified,
which were primarily linked to the biological process of the chemokine signaling pathway.
PLAC8, identified as a biomarker for interstitial cystitis, was validated to express a significantly
different between IC and normal bladder tissues. PLAC8-related pathways were analyzed, with
a focus on NF-κB, TNF, Toll-like receptor, chemokine, IL-17, and JAK-STAT signaling pathways.
PLAC8 was proved to be closely related to immune activations, which is similar to the
pathogenesis of IC, which is a chronic dysregulated immune disease. Meanwhile, we also observed
a higher level of PLAC8 in IC tissues.

Conclusion::
PLAC8 has promising application prospects as a biomarker for interstitial cystitis
diagnosis. These findings could aid in the diagnosis and treatment of interstitial cystitis.
Application of Nanotechnology to Develop Carrageenan-based Films and
Coatings as Carriers for Essential Oils
Authors: Nikravan Leila , Zamanpour Setayesh , Hashemi Mohammad , Marashi Sayed Mahdi Hossaeini Marashi , Noori Seyyed Mohammad Ali 
Published: March 2024

Abstract:
This review highlights the effect of combining bioactive agents, especially nanoparticles,
in carrageenan coating to increase the quality and stability of foods. This study is designed
based on a review of previous studies. Biopolymer coatings and films are suitable for food and
non-food packaging due to their degradability, renewable and edible nature. Edible coatings and
films are based on polysaccharides, proteins, and lipids. They confer some beneficial effects on
foods, such as improvement of appearance and texture, reducing the amount of moisture loss
and oxidation, prevention of the release of gases and control of microbial growth, delaying ripening
and adverse changes in color and taste, improvement of nutritional value, and increasing
the shelf life of the product. These improvements lead to the prevention of food spoilage and
increase the shelf life of various foods. In addition, nanomaterials and food additives such as
antimicrobial and antioxidant agents, flavorings, and colors can be incorporated into food coatings
and films to expand their applications. Nanotechnology can be applied in coatings and food
films using nanoparticles. However, more research is still needed to gather information about
coating formulations, especially when new materials are incorporated into them.
Combination of Contrast-enhanced FlAIR and Contrast-enhanced T1WI: A
Quick and Efficient Method in Detecting Brain Metastases of Lung Cancers
Authors: Sun Linlin , Luan Shihai , Ye Xiaodan , Chen Jing , Shi Jueqian , Zhu Huiyuan , Dong Haiyang , Tao Guangyu , Liu Xuemei , Zhu Li , Yu Hong 
Published: March 2024

Background::
Some patients with suspected brain metastases (BM) could not tolerate longer scanning examinations according to the standardized MRI protocol.

Objective::
The purpose of this study was to evaluate the clinical value of contrast-enhanced fast fluid-attenuated inversion recovery (CE FLAIR) imaging in
combination with contrast-enhanced T1 weighted imaging (CE T1WI) in detecting BM of lung cancer and explore a quick and effective MRI
protocol.

Material and Methods::
In 201 patients with lung cancers and suspected BM, T1WI and FLAIR were performed before and after administration of gadopentetate
dimeglumine. Two radiologists reviewed pre- and post-contrast images to determine the presence of abnormal contrast enhancement or signal
intensity and decided whether it was metastatic or not on CE T1WI (Group 1) and CE FLAIR (Group 2). The number, locations and features of
abnormal findings in two groups were recorded. Receiver Operating Characteristic (ROC) analyses were conducted in three groups: Group 1, 2 and
3(combination of CE FLAIR and CE T1WI).

Results::
A total of 714 abnormal findings were revealed, of which 672 were considered as BM and 42 nonmetastatic. Superficial and small
metastases(≤10mm) in parenchyma and ependyma, leptomeningeal and non-expansive skull metastases were typically better seen on CE FLAIR.
The areas under ROC in the three groups were 0.720,0.887 and 0.973, respectively. Group 3 was significantly better in diagnostic efficiency of
BMs than Group 1 (p<0.0001) or Group 2 (p=0.0006).

Conclusion::
The combination of CE T1WI and CE FLAIR promotes diagnostic performance and results in better observation and characterization of BM in
patients with lung cancers. It provides a quick and efficient way of detecting BM.
Optimization of Lipopeptide Biosurfactant Production with Anti-Inflammatory and Antimicrobial Activities
Authors: Djafri-Dib Salima , Yalaoui-Guellal Drifa , Amessis-Ouchemoukh Nadia , Madani Khodir , Ouchemoukh Salim 
Published: March 2024

Background:
Biosurfactants are very important amphiphile compounds due to their
interesting advantages such as low toxicity, biodegradability and also their many biological properties.

Methods:
In the present study, antimicrobial and anti-imflammatory activities were evaluated to
determine the biological proprieties of biosurfactant BLA 2906 produced by Alcaligenes aquatilis
YGD 2906 using different assays. Screening and optimization component concentrations in the
medium were investigated using PBD and SRM to increase surfactant yield in term emulsification
activity value (E24%).

Results:
The halos of antifungal activity presented a mean value of 12.33 mm to 17.67 mm. For
antibacterial activity, the diameter varied from 10.33 to 12.67 mm with a very important antiinflammatory
activity using a protein denaturation method that showed a maximum inhibition of
92.79%.

Conclusion:
These results suggest that BLA 2906 may be used as a new therapeutic and antiinflammatory
agent. The PBD selected 7 significant components out of the 14 screened. The
RSM resulted in the production in terms of emulsification activity of 68.37% in the optimized
medium.
Probing Anticancer Molecules from Onion Peels Waste; First Synthesis and Biological Studies of a Rare Quercetin Derivative-pachypodol
Authors: Nanjan Pandurangan , Nambiar Jyotsna , Bose Chinchu , Banerji Asoke , Nair Bipin G. 
Published: March 2024

Background:
The constant increase in global onion production escalates the generation
of onion peel waste. For instance, globally, >50 lakh tons of onion waste are generated annually.

Methods:
Its objectionable odor precludes its use in agriculture or disposal as landfilling presents
environmental issues. Previous studies show that two major flavonoids, quercetin and its glycosides
(spiraeoside), have been identified in abundance in onion waste. By utilizing the spiraeoside
(quercetin-4ʹ-glucoside), a rapid synthesis of pachypodol (quercetin-3,3′,7-trimethyl ether, and a
rare flavonol), an essential Ayurvedic product, has been developed and achieved. Pachypodol and
analogs were studied for their ability to inhibit matrix metalloproteinase-2 and -9 (MMP-2 & 9)
activity. Amongst the compounds tested, pachypodol significantly inhibited MMP-2 activity.

Results:
In-silico docking studies suggest that, unlike most known MMP inhibitors, pachypodol
interacts selectively with MMP-2 through the residues Ile222, Tyr223, and Thr227 in a zincindependent
manner.

Conclusion:
The experimental studies also prove that pachypodol inhibits the MMP-2 enzyme in
a zinc-independent way.
Screening and Identification Quality Markers for Antioxidant Activity ofTetrastigma hemsleyanumfrom Different Origins using Spectrum-effect Correlation Analysis
Authors: Fang Jiahao , Li Shuyao , Yin Feng , Peng Lingxia , Li Hongju , Yang Lijun , Miu Qiang , Liang Zongsuo , Zhang Xiaodan 
Published: March 2024

Background::Tetrastigma hemsleyanum (THL) is a traditional medicinal plant with various biological activities, it has been validated that several THL extracts have strong pharmacological activities. Until now, there is no complete and systematic germplasm identification and quality evaluation standard.Objective::Establishing fingerprint spectra of THL from different sources, evaluating their antioxidant activity and identifying quality markers.Methods::In this paper, establishing fingerprints and identifying quality markers through UPLC-QTOF- MS/MS. The antioxidant capacity of forty-one batches of THL from multiple regions was determined by 1,1-Diphenyl-2-picrylhydrazyl radical (DPPH), 2,2'-Azinobis-(3-ethylbenzthiazoline-6- sulphonate) (ABTS), and Ferric reducing antioxidant power (FRAP) assays.Results::The results indicated that THL methanol extracts showed good antioxidative activity and eight THL samples, including THL aerial parts, showed high antioxidative activity. Besides, Ultra Performance Liquid Chromatography (UPLC) fingerprints of THL from different places were established and chromatographic peaks probably correlated with antioxidant capacity were screened by principal component analysis (PCA) and partial least square regression (PLS) analysis.Conclusion::The chemical constituents of these peaks were identified as possible quality markers for THL quality evaluation. In this study, twelve effective substances were preliminarily determined, such as isovitexin, L-epicatechin, procyanidin B, sitosterol, etc.
A Security Analysis Model for IoT-ecosystem Using Machine Learning-(ML)
Approach
Authors: N.S Pradeep Kumar , Kantipudi MVV Prasad , N Praveen , S Suresh , Aluvalu Rajanikanth , Jagtap Jayant 
Published: March 2024

Introduction:
The attacks on IoT systems are increasing as the devices and communication
networks are progressively integrated. If no attacks are found in IoT for a long time, it
will affect the availability of services that can result in data leaks and can create a significant
impact on the associated costs and quality of services. Therefore, the attacks and security vulnerability
in the IoT ecosystem must be detected to provide robust security and defensive
mechanisms for real-time applications.

Method:
This paper proposes an analytical design of an intelligent attack detection framework
using multiple machine learning techniques to provide cost-effective and efficient security
analysis services in the IoT ecosystem.

Result:
The performance validation of the proposed framework is carried out by multiple performance
indicators.

Conclusion:
The simulation outcome exhibits the effectiveness of the proposed system in
terms of accuracy and F1-score for the detection of various types of attacking scenarios.