bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scabies affects quality of life in correlation with depression and anxiety
Authors: Yıldırım Sema Koç , Öğüt Neslihan Demirel , Erbağcı Ece , Öğüt Çağrı 
Published: March 2022

Abstract
Introduction: A small number of studies have shown that scabies causes impairment in the quality of life in adult patients. There was no study evaluated the depression and anxiety and their relationships between life quality in patients with scabies. The aims of this study are to assess the impact of scabies on adult patients’ quality of life and evaluate the relationship between depression and anxiety levels and impairment in life quality. Methods: This cross-sectional study included adult patients diagnosed with scabies in our dermatology outpatient clinic. The demographic data and characteristics of patients were recorded. The effect of scabies on quality of life was evaluated by Dermatology Life Quality Index (DLQI), and the levels of depression and anxiety were evaluated by Beck Depression Scale (BDS) and Beck Anxiety Scale (BAS).Results: Totally, 85 patients included to the study. The mean ± SD total DLQI score was 10.54 ± 6.17. The quality of life of 72.2% of the patients was moderate to extremely large affected. The domain with the highest impact on patients that ‘symptoms and feelings’ was impaired in all patients. The other domains that had the most impact on patients were ‘work and school’, ‘personal relationships’ and ‘daily activities’, respectively. There was a positive correlation between the duration of the disease, the total DLQI score and the severity of the disease’s impact on quality of life (rs= 0.287, p= 0.01 and rs=0.280, p= 0.008, respectively). The mean BDS score ± SD was 12.11 ± 9.52 and the mean BAS score ± SD was 8.81 ± 9.45. There was a positive correlation between BDS and BAS, and total DLQI score (rs=0.448 and p=0.000; rs=0.456 and p=0.000, respectively).Conclusion: Scabies has a moderate to severe effect on life quality on patients. There was a positive correlation between impairment quality of life and anxiety and depression scores.
Compact modelling of nanocluster functionality as a higher order neuron.
Authors: Lawrence Celestine 
Published: March 2022

Abstract
Disordered nanoclusters with multi-electrode input-output functionality had recently been experimentally realized with energy-efficient and emergent computational capacity, and thus an interconnected network of several such nanoclusters had been proposed to realize artificial neural networks. To aid that end, here we show that nanocluster functionality can be fit to the simplest dendritic neuron model, where the only form of nonlinearity is due to multiplicative interactions. This work brings in to the spotlight higher order neural networks (known for their efficient encoding of geometric invariances) to serve as an explainable baseline model of nano-networks against which experimentalists can compare more sophisticated models; and provides ground for designing novel approximate hardware and a statistical mechanics analysis of the learning performance of interconnected nanoclusters vs. conventional (i.e. ramp or sigmoidal activation of a weighted sum) neural networks.
Simulation of Runoff Reduction Capacity of Green Roofs and Their Impacts on Urban Flooding: A Case Study of Beichen District, Kunming City
Authors: Yang Shouquan , Xie Zhiqiang , Zhao Fei , Jiang Fengshan , Xu Tong , Zhang Yangbin , Yin Siqiao , Xu Jiarui , Yang Zhibing , Du Qingyun , Chen Shi , Zhao Sidong , Li Yimin , Gao Zhong 
Published: March 2022

Abstract
China is constructing sponge cities, with focus on green roofs to counter increasing incidences of urban flooding. However, very few studies have investigated the performance of green roofs in real urban environments. Here, the Storm Water Management Model was used to simulate changes in surface runoff with green roofs while analyzing the impact of green roofs on urban flooding in Kunming, Beichen District, China. Comprehensive evaluations using the technique for order preference by similarity to an ideal solution (TOPSIS) were performed—from cost and benefit perspectives—to provide a research basis for green roof construction in Kunming. This study revealed the following: (1) higher rainfall intensity led to lesser runoff reduction. For rainfall recurrence intervals of 1, 2, 5, and 10 y, the runoff reduction rate for a green roof coverage of 10 % was 2.7, 2.1, 1.6, and 1.4 %, respectively. (2) The peak flow decreased with increasing coverage rate. However, under heavy rainfall, low coverage rates did not significantly reduce the peak flow. The delay time of the peak flow significantly decreased with increasing rainfall intensity. (3) The number of ponding points and the longest ponding duration exhibited a gradual downward trend with increasing green roof coverage. Green roofs with low coverage played an optimal role in mitigating flooding under heavy rainfall conditions. (4) Entropy weight-TOPSIS revealed that the optimal green roof coverage area in the study area was 60 %, which can be used as the priority construction goal for the popularization of green roofs in Kunming.
Evaluating the effects of alternative model structures on dynamic storage simulation in heterogeneous boreal catchments
Authors: Karimi Shirin , Seibert Jan , Laudon Hjalmar 
Published: March 2022

AbstractEstimating dynamic storage as a metric can be used to make an overall assessment of catchment resilience to extreme weather events such as droughts and floods. Because of the complexity of direct empirical measurements, bucket-type hydrological models can be a suitable tool to simulate the catchment storage across a broad range of scales as they require minimal input data. However, these models consist of one or more conceptual structures based on several linear or nonlinear reservoirs and connections between these reservoirs. Therefore, choosing the most appropriate model structure to represent storage-discharge functioning in catchments is difficult. To bridge this gap, this study evaluated the performance of three different HBV model structures on 14 heterogeneous boreal catchments classified into four distinct catchment categories. The results showed that the three-bucket structure performed better in larger catchments with deeper sediment soils. In contrast, a single reservoir structure is sufficient to predict the storage-discharge behavior for a lake-influenced catchment with lower elevation above the stream network. Moreover, our results indicate that while the estimates of mean catchment storage varied between the different model structures, the ranking between the catchments largely agreed for the different structures. Hence, our results suggest that instead of a single model structure, using an ensemble averaging approach would not only better address the structural uncertainty but also facilitate further storage comparison between different catchments. Finally, based on Spearman rank correlation results, we found that catchment size and sediment soil were positively correlated with dynamic storage estimation.
Assessing the drinking water quality in the Inner Mongolia Autonomous Region from 2014 to 2018
Authors: Wang X. , Xu X. Q. , Gao C. H. , Li L. H. , Liu Y. , Zhang N. , Xia Y. , Fang X. , Zhang X. G. 
Published: March 2022

Abstract
The objective of this study was to understand the drinking water quality state in the Inner Mongolia Autonomous Region from 2014 to 2018 and to derive information that will provide a basis for improving the drinking water quality in the region. Monitoring data for drinking water from the Inner Mongolia Autonomous Region for 2014 to 2018 were analyzed and the results were compared with GB 5749-2006, the Standard Test Method for Drinking Water, and GB 5749-2006, the Drinking Water Quality Standards. Data for a total of 30,613 water samples were assessed. Of the data for the microbiological index, sensory trait and general chemical index, and toxicological index, 89, 80, and 69% were qualified, respectively. For the toxicological index, the fluoride and nitrate nitrogen data were the least compliant. The water quality in all the cities was generally very suitable for drinking. However, there were marked differences in the qualified rates of drinking water in different areas and the qualified rates of the data for the three indexes were lower in rural areas than in urban areas. Given the varied issues with the drinking water quality, the relevant departments of League cities should implement appropriate and effective treatment measures to improve the drinking water quality and ensure it is safe for residents.
Development of the simple analytical method for determination of arsenate(V) ion using fluorescence-labeled DNA and cerium oxide nanoparticles
Authors: Matsunaga Koji , Satoh Hisashi , Hirano Reiko 
Published: March 2022

Abstract
Arsenic (As) contamination in groundwater presents a major health and environmental concern. As is found in two oxidation states and most chemical tests for inorganic arsenic are focused on As(III), and few have been developed for As(V). We developed the simple analytical method for determining As(V) concentrations in groundwater using CeO2NPs and fluorescein (FAM)-labeled DNA. Prior to sample measurements, we investigated the key operational parameters that affect the sensing performance. The optimal CeO2NPs final concentration, FAM-labeled DNA final concentration, the sequence and length of FAM-labeled DNA, and incubation time were 15 μg/mL, 400 nM, 6-mer poly-cytosine sequence, and 6 min, respectively. After optimizing the parameters, the total analysis time was about 20 min and the limit of detection was 0.61 μM. This method has a high selectivity against the same concentrations of Cu(II), Cd(II), Hg(II) and Pb(II). Pretreatment by cation extraction to remove interfering ions was beneficial for determination of As(V) concentrations in groundwater containing a variety of metal cations at high concentration. We could determine As(V) concentration in groundwater. Modification of the reactions of the method is necessary. This study provides the first step in the development of a simple method for on-site As(V) analysis.
FER1L4: A Long Non-coding RNA with Multiple Roles in the Occurrence and
Development of Tumors
Authors: Mou Jie , Wang Bei , Liu Yuling , Zhao Fengnan , Wu Yinxin , Xu Wen , Zeng Deyuan , Zhang Qi , Yuan Chengfu 
Published: March 2022

Background:
FER-1 family member 4 (FER1L4), a 6.7 kb lncRNA located at 20q11.22, plays an
important biological function in a variety of tumor diseases. The purpose of this review is to clarify the pathophysiological
mechanism and potential biological function of FER1L4 in different tumors.

Methods:
By searching the relevant literature in PubMed, the specific pathophysiological mechanism of
FER1L4 in different tumors was summarized.

Results:
LncRNA FER1L4 is one of the key factors in tumorigenesis and is abnormally down-regulated in
many tumors, including osteosarcoma, lung cancer, laryngeal squamous cell carcinoma, laryngeal cancer, colorectal
cancer, ovarian cancer, prostate cancer, esophageal cancer, gastric cancer, endometrial cancer, osteoarthritis,
rheumatoid arthritis, and so on. However, FER1L4 is downregulated in breast cancer, glioma, oral
squamous cell carcinoma, renal clear cell carcinoma, and periodontitis, and plays a protective role in orthodontic
teeth. In addition, as a tumor suppressor gene or oncogene, FER1L4 affects tumor proliferation, invasion,
migration, and apoptosis.

Conclusion:
LncRNA FER1L4 has a good application prospect in the treatment and diagnosis of various
tumors.
Evaluation of Alterations in DNA Methylation of CYP3A4 Gene Upstream Regulatory
Elements in Gastric Cancer and in Response to Diazinon Treatment
Authors: Golestanian Ramin , Barzegar Ali , Mianji Ghodrat Rahimi , Ebrahimzadeh Mohammad Ali , Fatemi Behnaz 
Published: March 2022

Background:
Little is known about cytochrome P450 3A4 (CYP3A4) DNA methylation and transcription
alterations in gastric cancer.

Objective:
In this paper, we initially aimed to address the effect of diazinon pesticide on DNA methylation and transcription
changes of the CYP3A4 gene in a human gastric cell line. In the next step, we studied the methylation differences
of CpG sites within the upstream regulatory regions of the CYP3A4 gene among human gastric cancerous
and healthy tissues.

Methods:
For the in vitro assay, the methylation changes of the C/EBP response element and transcript level of the
CYP3A4 gene were studied following treatment of the AGS cell line with various concentrations of diazinon pesticide.
In the next phase, the methylation percentages of 24 CpG sites within or around the upstream regulatory elements,
including near promoter, C/EBP binding site, XREM, and CLEM4, in 11 specimens of human gastric cancer
tissue were compared to their adjacent healthy tissues.

Results:
Treatment with 10 μM Diazinon significantly increased the CYP3A4 gene transcription by approximately
27-fold, which was correlated with the hypermethylation of 3 CpGs in C/EBP binding sites, including -5998, -5731
and -5725 (p<0.001 for all comparisons). Results of bisulfite sequencing revealed that the CpG sites which are located
in -1521 (p=0.003), -1569 (p=0.027), -10813 (p=0.003), -10851 (p=0.001) and -10895 (p=0.0) bp from transcription
start site, were significantly hypermethylated in cancerous tissues comparing to their healthy cohort.

Conclusion:
Hypermethylation of CLEM4 and a region near the core promoter may have a significant association
with gastric cancer incidence.
Preparation and Characterization of a Novel Glycine-based Ionic Liquid
and its Application in the Synthesis of Xanthenediones and Dihydropyrimidones
in Water
Authors: Salami Masoumeh , Ezabadi Ali 
Published: March 2022

Aim and Objective:
A novel amino acid ionic liquid was synthesized, characterized, and
approved as an efficient and recyclable catalyst for synthesizing xanthenediones and DHPMs in water
at reflux temperature.

Material and Method:
The ionic liquid was synthesized by a two-step method. In the first step, pyridine-
N-sulfonic acid was prepared by the reaction of pyridine with chlorosulfonic acid. In the second
step, the reaction of as-prepared ionic liquid with glycine in water afforded the desired amino acid ionic
liquid. Then, the ionic liquid was fully characterized by FT-IR, 1H NMR, 13C NMR, MS, TG/DTG,
and Hammett acidity function.

Results:
We disclose a new strategy to incorporate glycine as the amino acid-based cation in the ionic
liquid structure. The prepared IL exhibited remarkable catalytic activity in synthesizing xanthendiones
and DHPMs in water at reflux temperature.

Conclusion:
We have developed a green and efficient amino acid ionic liquid to synthesize xanthenediones
in water at reflux temperature. The advantage of this protocol is highlighted by the novelty
of the ionic liquid, using H2O as the solvent, simple work-up, high yields, and short reaction times.
A Tagging SNP Set Method Based on Network Community Partition of Linkage Disequilibrium and Node Centrality
Authors: Zhang Yulin , Wan Qiang , Cheng Xiaochun , Lu Guangyang , Wang Shudong , He Sicheng 
Published: March 2022

Aims:Solving the tagSNP selection problem by network method and reconstructing unknown individual from tagSNPs by a prediction method.Background:As a genetic marker, SNP has been used for linkage analysis of genetic diseases in genome-wide association studies. The genetic information carried by SNPs is redundant in regions of high linkage disequilibrium in the human genome. Therefore, a subset of informative SNPs (tagSNP set) is sufficient to represent the rest of the SNPs, reducing the genotyping cost and computational complexity greatlyMethod:A novel tagSNP set selection method named NCCRT is proposed, which combines the ideas of the network community partition of the SNP network and node centrality ranking to select tagSNPs of genotype data.Methods:A novel tagSNP set selection method named NCCRT is proposed, which combines the ideas of the network community partition of the SNP network and node centrality ranking to select tagSNPs of genotype data.Results:The method is tested on three data sets, including 176 SNPs, 169 SNPs, and 56 SNPs of gene ASAH1, HTR2A, and OLFM4. The experimental results show that our method achieves the best effect in terms of prediction accuracy and stability for ASAH1 and HTR2A.Conclusion:Compared with random sampling, greedy algorithm, and TSMI algorithm, our method does not rely on causal SNP selection, but it can also quickly identify the tagSNP nodes and improve the prediction accuracy.
Zerumbone Sensitizes the Anti-Cancer Efficacy of Cisplatin in Hepatocellular
Carcinoma Cells
Authors: Jegannathan Srimathi Devi , Arul Santhosh , Dayalan Haripriya 
Published: March 2022

Background:
Zerumbone (ZER) exerts potent antiproliferative, apoptotic, and antiangiogenic functions
against variety of cancer cells. Cisplatin (CIS), a standard chemotherapeutic drug, is effective against different types of
cancers. However, the combined effect of ZER and CIS on hepatocellular carcinoma remains unknown.

Objective:
The present study is attempted to examine the effectiveness of the combination of ZER and CIS in liver
cancer in vitro using the hepatocellular carcinoma Huh-7 cell line.

Methods:
Effect of ZER, CIS, and their combination therapy on cell viability and cytotoxicity was assessed by MTT
and LDH leakage assays. Cell cycle and apoptosis analysis were performed by flow cytometry. Quantitative real-time
PCR was used to examine the m-RNA expression of genes involved in apoptosis, angiogenesis, and invasion. Caspase
activity was studied using commercial kit method in the Huh-7 cell line.

Results:
Cells exposed to ZER, CIS individually, and both together significantly inhibited cell proliferation with IC50
values of 10 μM for ZER and 3 μM for CIS. The combination treatment of ZER and CIS revealed a synergistic effect
with a CI value < 1. CIS treatment, either alone or in combination with ZER, caused cell cycle arrest in the S phase.
More importantly, ZER combined with CIS exhibited synergistic effects in up-regulating Bax/Bcl-2 ratio, leading to
caspase cascade activation.

Conclusion:
In conclusion, the current study indicates that the treatment of 4.62 μM of ZER combined with 1.93 μM
of CIS in human liver cancer cells exerts synergistic effects on cell growth inhibition, apoptosis induction, angiogenesis,
and invasion by modulating gene expression.
Effects of Berberine on Leukemia with a Focus on Its Molecular Targets
Authors: Mazandaranian Mohammad Reza , Dana Parisa Maleki , Asemi Zatollah , Hallajzadeh Jamal , Mansournia Mohammad Ali , Yousefi Bahman 
Published: March 2022

Abstract:
Leukemia is common among both women and men worldwide. Besides the fact that finding new treatment
methods may enhance the life quality of patients, there are several problems that we face today in treating leukemia
patients, such as drugs’ side effects and acquired resistance to chemotherapeutic drugs. Berberine is a bioactive alkaloid
found in herbal plants (e.g., Rhizoma coptidis and Cortex phellodendri) and exerts several beneficial functions,
including anti-tumor activities. Furthermore, berberine exerts antiproliferative and anti-inflammatory effects. Up to
now, some studies have investigated the roles of berberine in different types of leukemia, including acute myeloid
leukemia and chronic lymphocytic leukemia. In this review, a detailed description of the roles of berberine in leukemia
is provided. We discuss how berberine involves different molecular targets (e.g., interleukins and cyclins) and signaling
pathways (e.g., mTOR and PI3K) to exert its anti-tumor functions and how berberine is effective in leukemia
treatment when combined with other therapeutic drugs.
Eugenol Inhibits the Biological Activities of an Oral Squamous Cell Carcinoma Cell
Line SCC9 via Targeting MIF
Authors: Duan Yao , Huang Xiaojin , Qiao Bo , Ma Rui , Li Jialin 
Published: March 2022

Background.:
Oral squamous cell carcinoma (OSCC) is a rampant cancer type in head and neck cancers
with a poor prognosis and a high recurrence rate. Eugenol shows an anticancer effect in a variety of cancers, but it has
been rarely studied in oral squamous cell carcinoma (OSCC).

Objective:
The purpose of this study was to explore the role of Eugenol in OSCC and the underlying mechanism.

Methods:
After different concentrations of Eugenol (0, 200, 400, and 800 μM) treatment, the viability, proliferation,
migration, and invasion of OSCC cell line SCC9 were measured by CCK-8, colony formation, wound-healing, and
transwell assays, respectively. TUNEL staining was employed to detect apoptosis. Western blotting was used to evaluate
gene expression at the protein level. Molecular docking was used to identify the target of Eugenol.

Results:
Eugenol decreased the proliferation and reduced the abilities of invasion and migration along with the expression
of matrix metalloproteinases (MMP) 2 and MMP9 in SCC9 cells. On the contrary, the ratio of apoptotic cells was
increased by Eugenol. In addition, Eugenol down-regulated B cell lymphoma-2 (Bcl-2) expression, but up-regulated
BCL-2 associated X (Bax), cleaved caspase 3, and cleaved poly-ADP ribose polymerase (PARP) expression. Meanwhile,
Eugenol exerted its effect on SCC9 cells in a concentration-dependent manner. Eugenol could bind to macrophage
migration inhibitory factor (MIF), the expression of which was down-regulated after Eugenol treatment. Besides,
overexpression of MIF reversed all the effects of Eugenol on OSCC cells.

Conclusion:
In summary, Eugenol suppressed the malignant processes of OSCC cells by targeting MIF, which could
guide the clinical application of Eugenol in OSCC.
Review of Control Algorithms of Vehicle Anti-lock Braking System
Authors: Zhu Shuaiwei , Fan Xiaobin , Qi Gengxin , Wang Pan 
Published: March 2022

Background:
Automobile anti-lock braking system (ABS) is an important part of the
vehicle active safety control system, which is widely used in all kinds of vehicles. At present, the
research of ABS mainly focuses on the study of the control algorithm, which is intended to improve
the stability, robustness, and adaptability of the control algorithm.

Objective:
In the future, it is necessary to explore adaptive robust control algorithms that adapt
to extreme conditions such as high nonlinearity and sudden road changes, such as active disturbance
rejection control technology, deep learning neural network control technology, etc.

Method:
According to the research status of domestic and foreign researchers in the field of ABS
control algorithms, ABS control algorithms are mainly divided into two categories: control methods
based on logic thresholds and control methods based on slip ratio.

Results:
The comparative study of ABS control methods shows that the logic threshold control
method has strong maneuverability and simple implementation, but its adaptability is poor. Sliding
mode control has strong robustness and good transient response, but chattering needs to be
suppressed. Although the PID control algorithm is simple and easy to implement, it needs to improve
the transient response of the system.