bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uropathogenic bacterial profile and antibiotic susceptibility pattern of isolates among gynecological cases admitted to Jimma Medical center, South West Ethiopia
Authors: Teferi Sisay , Sahlemariam Zewdineh , Mekonnen Mekdim , Tamrat Rahel , Adisu Yonas , Darge Tefera 
Published: November 2022

Abstract
Background: Urinary tract infection (UTI) is one of the most common bacterial infections in women; about 50% of women get during their life time. Moreover, it is a common health problem in patients with gynecological pathologies, which increases the chance of acquiring infection. The aim of this study was to determine the bacterial profile that causes UTI and their antibiotic susceptibility pattern among admitted gynecological cases.
Methods: A cross-sectional study was conducted in south west Ethiopia region. A total of 386 patients admitted with gynecological cases were included and structured questionnaire was used to collect socio-demographic and risk factor-related data. About 10ml freshly voided midstream and catheterized urine specimens were collected using sterile containers. Identification of isolate was done using culture characteristics, gram staining, and a series of biochemical tests. The data obtained were entered into EpiData Version 3.1 and analyzed using SPSS Version 25. A P-value of less than 0.05 was used as a level of significance.
Results: In this study, the overall prevalence of UTI was 25.4%. E. coli was the most frequently isolated bacteria, which accounted for 38(37.6%), followed by Klebsiella species 22(21.8%), CONS 14(13.9%), S. aureus 10(9.9%), Enterobacter species 6(5.9%), Citrobacter species 5(4.9%), P. mirabilis 4 (4%), and P. aeroginosa 2(2%). Histories of UTI (AOR = 1.977, 95% CI: 1.06, 3.68, P = 0.032) and catheterization (AOR = 2.38, 95% CI: 1.28, 4.45, P = 0.006) were found to be statistically associated with significant bacteriuria. Gram-negative isolates showed a high level of resistance, 88.3% for ampicillin and 66.2% for tetracycline, and a relatively low level of resistance against ceftazidime, 22.1%, and meropenem, 3.9%. Gram-positive uropathogens showed a high level of resistance to penicillin, 91.6%, whereas all isolates were sensitive 100.0% to nitrofurantoin. Furthermore, 80 (79.2%) of the isolates had multidrug resistance, and 16 (26.7%) of both E. coli and Klebsiella spp. produced Extended Spectrum β-lactamase.
Conclusion: In this study, a high prevalence of uropathogenic bacteria and multidrug resistance for commonly prescribed drugs were observed with a significant number of Extended Spectrum β-lactamase producers.
Preparation of multi-walled carbon nanotubes (MWCNT) and graphene oxide (GO) incorporated Cr-TA@SSZ composite metal-organic frameworks and their use as adsorbents for adsorptive removal of TPA, BA, and p-tol from wastewaters
Authors: Tourani S. 
Published: November 2022

Abstract
In the present work, multi-walled carbon nanotubes (CNT) and graphene oxide (GO) were incorporated with the MIL-101(Cr)/Sulfasalazine (Cr-TA@SSZ) composite. The composite MOFs have been synthesized by adding oxidized multi-walled carbon nanotube and GO with different ratios GO: CNT from (0:1, 10:5, 10:7, and 1:0) in situ during the synthesis of Cr-TA@SSZ by a hydrothermal approach. The resulting samples were characterized by X-ray diffraction (XRD), ASAP, Transmission electron microscopy (TEM), scanning electron microscopy (SEM), and thermal gravimetric analysis (TGA) analysis. The synthesized composite adsorbents were used for the adsorption of terephthalic acid (TPA), para-toluic acid (p-tol), and benzoic acid (BA). The results were compared with other adsorbents such as: GO, CNT, AC, Cu-BTC, Fe-BTC, MIL-101 (Cr), and MIL. -53(Al) and ZIF-8. Adsorption experiments indicated that the amount of TPA adsorption by Cr-TA@SSZ/CNT is higher than other composites but lower than some mother MOFs. The most important reasons include the larger molecule size, having two carboxyl groups, which leads to better interaction with micropores, and non-polarity of TPA. Adsorption experiments of BA and p-tol also demonstrated that Cr-TA@SSZ/CNT composite has the highest adsorption rate. Due to the improvement of the capillarity mechanism by increasing the diameter of pores, on the other hand, the polarity of BA and p-tol molecules, these two molecules were better adsorbed in Cr-TA@SSZ/CNT composite, which has both functional groups and larger pores. Furthermore, adsorption experiments using industrial wastewater from a TPA production plant showed that the highest purification efficiency belongs to Cr-TA@SSZ/CNT and Cr-TA@SSZ. Cr-TA@SSZ/CNT and Cr-TA@SSZ removed 41.6% and 40% COD from the concentrated phase (equivalent to 13670 and 13000 ppm) and removed 79.8% and 77.3% COD from the diluted phase (equal to 4390 and 4250 ppm) wastewater.
How do the femoral anteversion angle and neck-shaft angle influence muscle forces and joint loading during walking?
Authors: Kainz Hans , Mindler Gabriel T. , Kranzl Andreas 
Published: November 2022

Abstract
Femoral deformities, e.g. increased or decreased femoral anteversion (AVA) and neck-shaft angle (NSA), can lead to pathological gait patterns, altered joint loads, and degenerative joint diseases. The mechanism how femoral geometry influences muscle forces and joint load during walking is still not fully understood. Hence, we conducted a comprehensive musculoskeletal modelling study to investigate the influence of femoral AVA and NSA on muscle forces and joint loads during walking. We created 25 musculoskeletal models with a variety of NSA and AVA. For each model we calculated moment arms, muscle forces, muscle moments, and joint loads based on motion capture data of a person with a typical gait pattern. We found a significant increase in co-contraction of hip and knee joint spanning muscles in models with increasing AVA and NSA, which led to a substantial increase in hip and knee joint contact forces. Decreased AVA and NSA had a minor impact on muscle and joint contact forces. Neglecting an individual’s femoral geometry when estimating joint contact forces can lead to errors above five times body weight. Knowing the influence of femoral geometry on muscle forces and joint loads can help clinicians to improve treatment strategies in patients with femoral deformities.
Contextually Aware Intelligent Control Agents for Heterogeneous Swarms
Authors: Hepworth Adam , Hussein Aya , Reid Darryn , Abbass Hussein 
Published: November 2022

Abstract
An emerging challenge in swarm shepherding research is to design effective and efficient artificial intelligence algorithms that maintain a low-computational ceiling while increasing the swarm's abilities to operate in diverse contexts. We propose a methodology to design a context-aware swarm-control intelligent agent. The intelligent control agent (shepherd) first uses swarm metrics to recognise the type of swarm it interacts with to then select a suitable parameterisation from its behavioural library for that particular swarm type. The design principle of our methodology is to increase the situation awareness (i.e. information contents) of the control agent without sacrificing the low-computational cost necessary for efficient swarm control. We demonstrate successful shepherding in both homogeneous and heterogeneous swarms.
A Chain Mediation Model Reveals The Association Between Mindfulness and Depression of College students
Authors: Zhang Junliang , zheng Shuang , Hu Zhongzheng , Ge Hongping 
Published: November 2022

Abstract
The study aims to explore the relationship among mindfulness, depression, meaning in life (MIL) and psychological resilience (PR), and verify whether MIL and PR have a chain mediating effect between mindfulness and depression .1034 college students in a province were investigated by using Adolescent Mindfulness Scale, Depression Scale, Meaning in Life Scale and Psychological Resilience Scale. Hierarchical multiple regression and bootstrap was used to analyze the data and test whether MIL and PR play a chain mediating role between mindfulness and depression among university students.In the present research, the direct effect value of mindfulness on college students' depression was 0.14, and the effect amount was 61%. The effect values of MIL and PR between mindfulness and college students' depression were 0.03 and 0.05, and the effect amount is 13% and 22%.In the meantime, the chain mediating effect of MIL and PR was significant, the effect value is 0.01 and the effect amount is 4%.The effects of mindfulness on depression of university students were mediated by MIL, PR and the chain of MIL and PR.
Patient-derived cell-based pharmacogenomic assessment to unveil underlying resistance mechanisms and novel therapeutics for advanced lung cancer
Authors: Yu Namhee , Hwang Mihwa , Lee Youngjoo , Song Bo Ram , Kang Eun Hye , Sim Hanna , Ahn Beung-Chul , Hwang Kum Hui , Kim Jihyun , Hong Sehwa , Kim Sunshin , Park Charny , Han Ji-Youn 
Published: November 2022

Abstract
Background
A pharmacogenomic platform using patient-derived cells (PDCs) was established to identify the underlying resistance mechanisms and tailored treatment for patients with advanced or refractory lung cancer.
Methods
Drug sensitivity screening and multi-omics datasets were acquired from lung cancer PDCs (n = 102). Integrative analysis was performed to explore drug candidates according to genetic variants, gene expression, and clinical profiles.
Results
PDCs had genomic characteristics similar to those of solid lung cancer tissues. PDC molecular subtyping classified patients into four groups: (1) inflammatory, (2) epithelial-to-mesenchymal transition (EMT)-like, (3) stemness, and (4) epithelial growth factor receptor (EGFR)-dominant. EGFR mutations of the EMT-like subtype were associated with a reduced response to EGFR-tyrosine kinase inhibitor therapy. Moreover, although RB1/TP53 mutations were significantly enriched in small-cell lung cancer (SCLC) PDCs, they were also present in non-SCLC PDCs. In contrast to its effect in the cell lines, alpelisib (a PI3K-AKT inhibitor) significantly inhibited both RB1/TP53 expression and SCLC cell growth in our PDC model. Furthermore, cell cycle inhibitors could effectively target SCLC cells. Finally, the upregulation of transforming growth factor-β expression and the YAP/TAZ pathway was observed in osimertinib-resistant PDCs, predisposing them to the EMT-like subtype. Our platform selected XAV939 (a WNT-TNKS-β-catenin inhibitor) for the treatment of osimertinib-resistant PDCs. Using an in vitro model, we further demonstrated that acquisition of osimertinib resistance enhances invasive characteristics and EMT, upregulates the YAP/TAZ-AXL axis, and increases the sensitivity of cancer cells to XAV939.
Conclusions
Our PDC models recapitulated the molecular characteristics of lung cancer, and pharmacogenomics analysis provided plausible therapeutic candidates.
Designed mixed model approach for efficient antioxidant extraction from pomace
Authors: Wiedemair Verena , Zlöbl Dominik , Bach Katrin 
Published: November 2022

Abstract
Pomace is a waste product of juice production, but still holds many valuable compounds, such as e.g. antioxidants. However, efficient extraction proves to be challenging as extractability is highly dependent on experimental conditions. Furthermore, antioxidants are also often retained by structural polysaccharides. Consequently, this study investigates the extractability of antioxidants in five different types of pomace in a 2 x 2 x 2 x 3 full factorial fully replicated design to determine the most efficient way of extraction. Therefore, extracting agent, temperature, extraction method as well as the use of enzyme were alternated to investigate the effects of these parameters on the extractability. Main effects as well as interaction effects were estimated with linear mixed models. To study the effects of polysaccharides on the retention of antioxidants, the number of soluble polysaccharides was measured as well and correlated with the increase in antioxidants after enzyme application. The experiments showed that acetone was most suitable as an extracting agent and that the use of pectinase significantly increased the amount of extracted antioxidants. Additionally, ultrasound-assisted extraction is advantageous compared to extraction in water baths. Temperature showed the smallest effect in this experimental design. Lastly, the results also highlight that the amount of soluble polysaccharides do not correlate with the extractability of antioxidants.
Climate change and anthropological impacts on a karst aquifer: a multi- statistical assessment
Authors: Mahdavi Leila , Samani Nozar 
Published: November 2022

Abstract
Many karst aquifers are the sole source of municipal (drinking) water in Iran. The purpose of this study is to detect trends in rainfall and temperature series as climate variables and the groundwater level time series as a hydrologic variable to assess the anthropogenic and climate change impact on the strategic Sarbalesh aquifer in Fars province, Iran, employing the Mann-Kendall (MK) and modified MK tests, the combination of discrete wavelet transform (DWT), MK, and Sequential MK analyses, and the Pettitt-Mann-Whitney (PMW) and Cumulative sum methods. The MK and MMK tests analyses showed a significant declining trend in the groundwater level and a negative/positive trend in the rainfall/temperature series, particularly in the annual series at the 5% level of significance. The time series were decomposed into the approximation (A) and details (Ds) sub-signals by the DWT. The dominant periodicities contributing to the production of trend in the original series were found by comparing the approximate equality of the MK Z-values, the correlation coefficient, and the likeness of the Sequential MK curves of the original data and their respective A + Ds components. The monthly rainfall, temperature, and groundwater series showed 8-month, 8-month, and 64-month prominent periodicities, respectively. The annual rainfall, temperature, and groundwater series exhibited the prominent periodicities of 4-year, 2-year, and 8-year, respectively. By PMW and Cumulative sum approaches, we detected abrupt shifts (change points) in the studied time series. The same change year point in the rainfall series and the Southern Oscillation Index (SOI) series and the negative correlation between rainfall and El Niño-Southern Oscillation (ENSO) cycles indicated that the climate change and hence the La Niño phenomenon increased SOI after the change year led to a decrease in precipitation from November to April in the study area. Our multi-statistical approach proved that the drastic decline in groundwater level is due to the continuous over-exploitation of water storage from the aquifer in the last 32 years and reduced rainfall and increased temperature (particularly in the annual series) have triggered the declining trend. Our analysis provides an elaborate view of future hydro-climatic conditions, it can be used as a foundation for designing and planning water resources within the study area and elsewhere.
Development of screening patients with obstructive sleep apnea with deep learning in the lateral cephalogram: Overcoming modality differences with knowledge distillation
Authors: Kim Min-Jung , Jeong Jiheon , Lee Jung-Wook , Roh Jae-Yon , Kim Namkug , Kim Su-Jung 
Published: November 2022

Abstract
Undetected obstructive sleep apnea (OSA) can lead to consequences of severe systematic disease. The lateral cephalogram in orthodontics is a valuable screening tool. We hypothesized that a deep learning-based classifier might be able to differentiate sleep apnea as anatomical features that humans do not recognize in lateral cephalogram. Moreover, since the imaging devices used by each hospital could be different, various modalities in radiography need to be overcome in real clinical practice. Therefore, we proposed a knowledge distillation deep learning model to classify patients into OSA and non-OSA groups using the lateral cephalogram and to overcome modality differences simultaneously. Lateral cephalograms of 500 OSA patients and 500 non-OSA patients from two different devices were included. ResNet-50 and ResNet-50 with a feature-based knowledge distillation model were trained and their suitability for classification and modality normalization were compared. Through knowledge distillation, it was confirmed through ROC analysis and Grad-CAM that our model exhibits high performance without being deceived by features caused by modality differences. By checking the probability values predicting OSA, an improvement in overcoming the modality differences in lateral cephalogram was observed, which could be applied in the actual clinical situation.
Thermal Modelling of the Cylindrical Electromagnets in Transient and Steady-State Modes
Authors: Hashemi Ali , Qaraei Parsa Yazdanpanah , Shabanian Mostafa 
Published: November 2022

Abstract
The heterogeneous and complex structure of the electromagnet makes it difficult to study the heat transfer equations. Therefore, numerical methods and simulation software are used for its analysis. In this paper, an accurate thermal equivalent circuit (TEC) for modeling and studying heat in a cylindrical electromagnet is presented. The proposed TEC can be used in both transient and steady-state modes. Due to the symmetrical structure of the electromagnet, heat transfer is considered in radial and axial directions. Also, the use of winding homogenization techniques has helped to simplify the proposed TEC. To achieve experimental results for approving the accuracy and validity of the proposed TEC, a cylindrical electromagnet was made and installed on a laboratory platform. Two orthogonal and orthocyclic winding coil technologies are used and tested. Comparison of the results of the proposed TEC analysis in MATLAB with the results of electromagnet simulation in COMSOL software and experimental results, shows the high accuracy of the proposed TEC in predicting the thermal behavior of the electromagnet. Simplicity and the high accuracy results are the most important advantages of the proposed thermal equivalent circuit.
Comparison of adsorptive properties of adenine, cytosine, guanine and thymine in acetate buffer with pH 4.
Authors: Gugała-Fekner Dorota 
Published: November 2022

Abstract
Adsorptive properties of adenine, cytosine, guanine and thymine in the acetate buffer at pH = 4 were determined using experimental data obtained from measurements of the differential volume of the double layer interface, the zero charge potential and the surface tension at this potential. The possibility of determining parameters Emax and qmax and the bell-shaped relative excess amounts indicate the physical nature of adsorptions of the nitrogen bases in question on the mercury electrode, which must be associated with the fact that the adsorbed particles exhibit vertical or diagonal orientation.
Advanced Stage, High-Grade Primary Tumor Ovarian Cancer: A Multi-Omics Dissection and Biomarker Prediction Process
Authors: Saeedi-Honar Yousof , Javaher Saleh , Soleimani Marziye , Zarebkohan Amir , Farhadihosseinabadi Behrouz , Tohidfar Masoud , Abdollahpour-Alitappeh Meghdad 
Published: November 2022

Abstract
Ovarian cancer (OC) incidence and mortality rates are estimated to increase globally in the years to come. Early diagnosis of OC is still one of the most significant challenges facing researchers due to extensive metastases and the lack of recognition of biomarkers in advanced stages of high-grade primary tumors (HGPTs). In this study, OC cell lines were analyzed using bioinformatics study and gene expression screening, utilizing Gene Expression Omnibus (GEO) the microarray dataset with 53 HGPTs and 10 normal samples were analyzed by using GEO2r to figure out differently-expressed genes (DEGs). Subsequently, Gene set enrichment analysis (GSEA), ChIP enrichment analysis (ChEA), eXpression2Kinases (X2K), and Human Protein Atlas (HPA) were used to analyze signaling pathways, transcription factors (TFs), kinases, and proteome analysis, respectively. Protein-protein interaction (PPI) networks were made by using STRING and Cytoscape Software. Co-expression and hub genes were determined via STRING database and cytoHubba plug-in, and DEGs were confirmed by using gene expression profiling interactive analysis (GEPIA). KIAA0101, RAD51AP1, FAM83D, CEP55, PRC1, CKS2, CDCA5, NUSAP1, ECT2 and TRIP13 were found to be the top 10 hub genes. At the same time, SIN3A, VDR, TCF7L2, NFYA, and FOXM1 were identified as the top 5 TFs in HGPT. Ultimately, the clustering of hub genes was carried out using the available tools in the protein atlas server, based on which 5 out of 10 candidate genes, including CEP55, PRC1, CKS2, CDCA5 and NUSAP1, were chosen as markers. miRNAs analysis showed that hsa-miR-215-5p, hsa-miR-193b-3p, hsa-miR-192-5p and could target the largest number of HGPT genes. Collectively, HGPT-related genes, especially hub genes, TFs, miRNAs and pathways seem to have a great potential as novel biomarkers for HGPT as well as diagnosis and treatment strategies in OC.
Comparative RNA-sequencing analysis of the prostate in a mouse model of benign prostatic hyperplasia with bladder outlet obstruction
Authors: Tang Xiaohu , Liu Zhiyan , Ren Jingwen , Cao Ying , Xia Shujie , Sun Zhaolin , Luo Guangheng 
Published: November 2022

Abstract
In aging men, BPH is a chronic disease that leads to progressive lower urinary tract symptoms (LUTS) caused by obstruction of the bladder outlet (BOO). Patients with LUTS (such as frequency and urgency) and complications of BOO (such as hydronephrosis and bladder stones) are at risk of serious health problems. Nevertheless, clinical treatment is complicated and uncertain. BPH is caused by hormonal imbalances related to androgen and estrogen, but the exact mechanism is still unknown, even the animal model is not fully understood. However, there are no large-scale data to explain this mechanism. A BPH mouse model was established using mixed slow-release pellets of testosterone (T) and estradiol (E2), and we detected gene expression in mouse prostate tissue using RNA-seq, and verified the results using qRT-PCR, and used bioinformatics methods to analyze the differentially expressed genes (DEGs).
The degeneration of solitary wave solutions and interaction between lump and soliton solutions for the (2+1)-dimensional KdV equation
Authors: Cui Jingyi , Guo Yanfeng , Zhang Jingjun , Dai Zhengde 
Published: November 2022

Abstract
The degeneration of solitary wave solutions and interaction solutions between lumps and solitons are primarily explored for the (2+1)-dimensional KdV equation. Firstly, in accordance with the Hirota bilinear form, solitary wave solutions and periodic solitary wave solutions are derived through some new test functions. Then through the parameter limit approach, the lump solutions are gained by degeneration of solitary solutons. Secondly, the interaction solutions between lumps and solitons are given by using of the partial degeneracy of the $N$-soliton solutions. Finally, according to a different test function, some new singular periodic solitary waves solutions are derived via the extended homoclinic test method.