bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of altitudes on secondary metabolite contents of Origanum majorana L.
Authors: Öner Emel Karaca , Yeşil Meryem 
Published: April 2023

Abstract
Altitude is an important ecological factor that significantly affects essential oil content, yield and composition. The Origanum majorana, belonging to Origanum genus of Lamiaceae family, is a species with antibacterial and antiviral effects, widely used as a spice and also used in folk medicine for treatment of diseases such as asthma, indigestion, headache and rheumatism. In this study, conducted to examine the effects of altitude on essential oil content and composition of origanum majorana, plant samples were collected from the southern region of Turkey at the beginning of flowering period from seven different altitudes (766 m, 890 m, 968 m, 1079 m, 1180 m, 1261 m and 1387 m) at 100 m intervals. The highest percentage of essential oil (6.50%) obtained by hydro-distillation was determined at 766 m altitudes. The GC-MS analyses revealed that low altitude affected some essential oil components positively. The linalool ratio, which is the major component of the essential oil of Origanum majorana species, was the highest at 766 m (79.84%) altitudes. Borneol (0.97%), linalool oxide (1.28%), trans-linalool oxide (1.47%), caryophyllene (2.78%), a- humulene (0.21%), germacrene-D (0.31%) and bicyclogermacrene (2.64%) components yielded high values at 890 m altitudes. Thymol (6.28%) and a-terpineol (1.04%), which have an important place in the essential oil composition, increased at 1180 m altitudes; a- terpinene (0.17%), cis-sabinene hydrate (0.82%), terpinene-4-ol (0.55%) and carvacrol (21.50%) increased at 1387 m altitudes.
KMT2D preferentially binds mRNAs of the genes it regulates, suggesting a role in RNA processing
Authors: Amin Harem Muhamad , Abukhairan Rawan , Szabo Beata , Schad Eva , Tantos Agnes 
Published: April 2023

Abstract
Histone lysine methyltransferases (HKMTs) perform vital roles in cellular life by controlling gene expression programs through the posttranslational modification of histone tails. Many of them are intimately involved in the development of different diseases, including several cancers, understanding the molecular mechanisms that control their target recognition and activity is therefore vital for the treatment and prevention of such conditions. RNA binding has been shown to be an important regulatory factor in the function of several HKMTs, such as the yeast Set1 and the human Ezh2. Moreover, many HKMTs are capable of RNA binding in the absence of a canonical RNA binding domain. Here, we explored the RNA binding capacity of KMT2D, one of the major H3K4 monomethyl transferases in enhancers, using RNA immunoprecipitation sequencing. We identified a broad range of coding and non-coding RNAs associated with KMT2D and confirmed their binding through RNA immunoprecipitation and quantitative PCR. We also showed that a separated RNA binding region within KMT2D is capable of binding a similar RNA pool, but differences in the binding specificity indicate the existence of other regulatory elements in the sequence of KMT2D. Analysis of the bound mRNAs revealed that KMT2D preferentially binds contranscriptionally to the mRNAs of the genes under its control, while also interacting with super enhancer- and splicing-related non-coding RNAs. These observations, together with the nuclear colocalization of KMT2D with differentially phosphorylated forms of RNA Polymerase II suggest a so far unexplored role of KMT2D in the RNA processing of the nascent transcripts. Overexpression of the RNA binding region with the polyQ region known to drive phase separation of KMT2D revealed that while RNA binding and phase separation are both necessary and sufficient to target KMT2D to super enhancer condensates, a fully functional protein is indispensable for the proper assembly and functioning of the transcription factory.
Expressed emotion and associated factors among care givers of schizophrenia patient attending mental health service in Dilla University Refferal Hospital, Dilla, Southern Ethiopia, 2022
Authors: Sime Yohanes , Mohammed Mubarak , Kebede Daniel , Kidane Mahder , Negash Misrak , Adamu Yayeh , Gashaw Anteneh 
Published: April 2023

Abstract
Background: Expressed emotion (EE) is an attitude, feeling, or behavior based on the emotional responses of the family caregiver in response to and reaction towards the ill family members. This concept has long been used to investigate the family environment of patients with mental disorders which reflects the extent to which family members close to a patient express critical comments, hostile and emotionally over-involved attitudes or warmth when talking about the patient. Given the paucity of research on this subject in Ethiopia and the area under study, it is important to evaluate caregivers of schizophrenic patients' expressed emotion and the elements that are related to it.
Objective: To assess prevalence of expressed emotion and associated factors among care givers of schizophrenic patient attending mental health service in DURH, Dilla, and southern Ethiopia.
Method and material: An institution-based cross-sectional study design was employed at DURH psychiatry clinic. Data was collected using face to face interview by interviewer administered questionnaire by using a mobile software epi.INFO version 7 and medical chart review was used to take the diagnosis of the patient and any comorbid disorder. Systematic random sampling was used to collect sample. The collected data was exported to SPSS version 22 for analysis, Bivariate and multivariable logistic regression analysis was conducted to identify associated factors of expressed emotion among caregivers of schizophrenic patient attending mental health service in DURH. The statistical significance was set at P-value <0.05.
Result: High expressed emotion was observed in 50.5% (43.1-57.4) of respondents. Caring for schizophrenic patients for about 6-8 years (AOR=3.5; 95%CI: 2.1-6.3), being female caregiver (AOR=1.2; 95%CL: 1.15-4.1), caregiver moderate to severe overload (AOR=2.0; 95%CI: 1.81-5.4) and 6-10 years total duration of illness (AOR=1.6; 95%CI: 1.42-3.9) were significantly associated with high expressed emotion.
Conclusion: Since the present study reported high level of EE in almost half family members, there is need for psychosocial nursing care for every family members of schizophrenia patient which will help them to effectively cope with the stress of managing the mentally ill family member at home.
Origins of Southern Ocean warm SST bias in CMIP6 models
Authors: Ying Jun , Fengyun Luo , Liu Tongya , Chen Dake 
Published: April 2023

Abstract
The robust warm sea surface temperature (SST) bias in the Southern Ocean (SO) has persisted in several generations of Coupled Model Inter-comparison Project (CMIP) models, yet the origins of such bias remain controversial. Here by using the latest released CMIP6 multi-models, we find that the common warm SST bias in the SO features a zonally oriented non-uniform pattern mainly located between the north and south fronts of the Antarctic Circumpolar Current. Such bias is supposed to be not caused by the biases in the surface heat flux and the strength of the Atlantic meridional overturning circulation (AMOC) —the two sources of the SO warm SST bias that have been revealed based on CMIP5 models. Instead, it could be linked to the robust common warm bias in the Northern Atlantic deep ocean through the AMOC transportation in an adiabatic process, even though there is no systematic bias in the strength of AMOC. Our findings highlight that comprehensively considering physically-connected remote biases might help to improve the SO warm SST bias in CMIP models.
Relationship between visceral and subcutaneous fat and bone health in American adults: a cross-sectional study
Authors: Lin Yanze , Zhong Xugang , Yao Wenchao , Wu Ruiji , Feng Fabo , Zhou Jinlei 
Published: April 2023

Abstract
Objective: The relationship between fat accumulation in visceral or subcutaneous tissue and bone mineral density (BMD) remains unclear. In this study, we aim to shed light on this relationship by examining a large, nationally representative population.
Methods: A weighted multiple linear regression model was established to evaluate the relationship between visceral fat, subcutaneous fat and BMD. Additionally, the potential nonlinear relationship was explored using smooth curve fitting method.
Results: A total of 10455 participants between the ages of 20 and 59 were included in this study. Various weighted multiple linear regression models revealed a negative correlation between lumbar BMD T-score and visceral mass index (VMI) and subcutaneous mass index (SMI). However, the association between VMI and lumbar BMD T-score was U-shaped when we did smooth curve fitting, and the inflection point of 0.304kg/m² was determined using a two-stage linear regression model.
Conclusions: Subcutaneous fat and BMD T-score were found to have a negative association, and visceral fat and BMD T-score were discovered to have a U-shaped connection. It is the significance of taking body composition and weight control into account while treating and preventing osteoporosis.
Cellulose nanofiber reinforced starch film with pH- responsive weakening and marine-degradability
Authors: Hamid Izzah Durrati Binti Haji Abdul , Soni Raghav , Hsu Yu-I , Uyama Hiroshi 
Published: April 2023

Abstract
Conventional marine-degradable plastics can remain in seawater for several years without losing their strength and stability, creating major environmental problems and threatening marine life. In this study, we prepared a cellulose nanofiber-reinforced starch film with pH-responsive weakening in seawater and marine-microbial degradability. The TEMPO-oxidized cellulose nanofiber (TCNF) was blended with hydroxypropyl starch (HPS) and di-aldehyde starch to develop a TCNF/modified starch film. pH-responsive swelling and weakening were performed in freshwater and seawater. Moreover, marine microbial degradability was evaluated in an artificial marine environment. TCNF/modified starch film rapidly loses up to 80 % of its strength in seawater and has higher marine microbial growth and degradability than TCNF film. The TCNF/HPS film demonstrates pH-responsive weakening with adequate microbial degradability. Therefore, it is a potential next-generation packaging material that can help address the problem of floating debris.
Socioeconomic Status, Reserve Capacity, and Depressive Symptoms Predict Pain in Rheumatoid Arthritis: An Examination of the Reserve Capacity Model
Authors: Azizoddin Desiree , Olmstead Richard , Anderson Kris-Ann , Hirz Alanna E. , Irwin Michael R. , Gholizadeh Shadi , Weisman Michael , Ishimori Mariko , Wallace Daniel , Nicassio Perry 
Published: April 2023

Abstract

Background
Guided by the reserve capacity model, we examined the roles of socioeconomic status (SES), reserve capacity, and negative emotions as determinants of pain in patients with Rheumatoid Arthritis (RA).
Methods
The study used cross-sectional baseline data from 106 adults in a clinical trial comparing behavioral treatments for RA. Structural equation modeling evaluated the direct effects of SES, reserve capacity (helplessness, self-efficacy, social support) and negative emotions (stress and depressive symptoms) on pain, and the indirect effects of SES as mediated by reserve capacity and negative emotions.
Results
Results showed that low SES contributed to greater pain, through lower reserve capacity and higher negative emotions. Mediational analyses showed that reserve capacity and negative emotions partially mediated the effect of SES on pain.
Conclusions
The findings indicate that interventions that target negative emotions in patients with low SES may facilitate better pain control with RA.
Trial registration
clinicaltrials.gov NCT00072657; 02/2004
Advanced scheduling algorithm for multi resource scheduling with minimum time consumption
Authors: Shakya Santosh Shakya Santosh , Tripathi Priyanka Tripathi Priyanka 
Published: April 2023

Abstract
The scheduling of appropriate resources for cloud workloads is a difficult task, as it depends on the quality of service needs of cloud applications. Due to their limited data storage and energy capabilities, IoT applications demand high-speed data transfer and low latency. Many IoT devices generate data continuously and want to store it on the cloud quickly and efficiently. Dynamic virtual machine (VM) allocation in cloud data centers (DCs) is taking advantage of the cloud computing paradigm. Each VM request is characterized by four parameters: CPU, RAM, disk, and bandwidth. Allocators are designed to accept as many VM requests as possible, considering the power consumption of the IoT device's network. Resource scheduling and time consumption is the two most significant problems in cloud computing. To overcome this problem, in this paper, the author has extended CloudSim with a multi-resource scheduling and minimum time consumption model that allows a more accurate valuation of time consumption in dynamic multi-resource scheduling. The author proposes a new scheduling algorithm advance scheduling algorithm(ASA), which provides a better solution to other scheduling algorithms like Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Artificial Bee Colony(ABC). also tries to reduce energy consumption and time to give a task to the VM.
Cold storage as part of a Varroa management strategy: Effects on honey bee colony performance, mite levels and stress biomarkers
Authors: Meikle William , Corby-Harris Vanessa , Ricigliano Vincent , Snyder Lucy , Weiss Milagra 
Published: April 2023

Abstract
Placing honey bee colonies in cold storage has been proposed as a way to induce a pause in brood production as part of a Varroa mite treatment plan. Here, we exposed colonies to combinations of with or without a late summer-early fall cold storage period and with or without a subsequent miticide application, and then measured the effects of those treatments on colony-level variables (i.e. colony size, Varroa density, and hive temperature) and pooled individual-level variables that are associated with nutritional and stress responses. Colonies were assessed before and after cold storage, and post winter, and the experiment was conducted twice. The cold storage plus miticide treatment strategy did not have a major impact on colony health. Cold storage did induce a brood pause: little brood was present after cold storage, and hive temperature data indicated that most or all brood had emerged after about two weeks. However, Varroa levels in February after treatments were not significantly affected by treatment, and we found comparatively few effects on either the colony or individual level because of the cold storage or miticide application. The two experiments were very different: rainfall, and bee forage availability, were much higher the second year, and colonies were over 2.5 times larger on average the second year compared to the first, both in terms of adult bee mass and brood area. Expression levels of nutrition and stress response genes were also significantly higher the second year. Colony survivorship from September to February was 42% the first year and 60% the second year. The results indicate that limited cold storage itself would likely have little impact on most colony- and individual measures of health, but for such a strategy to succeed levels of stressors, such as Varroa, may also need to be low.
Phenotypic And Genotypic Characterization of Extended Spectrum Beta- Lactamase-Producing Clinical Isolates of Escherichia coli and Klebsiella pneumoniae in Two Kenyan Facilities: A National Referral and a Level Five Hospital
Authors: Maveke Sylvia M. , Aboge Gabriel O. , Kanja Laetitia W. , Mainga Alfred O. , Mureithi Naftaly G. , Muchira Beatrice W. , Moriasi Gervason A. 
Published: April 2023

Abstract
Background
The emergence of antimicrobial resistance (AMR) and multidrug resistance (MDR) among Escherichia coli and Klebsiella pneumoniae, especially through the production of extended spectrum β-lactamases (ESBLs), limits therapeutic options and poses a significant public health threat.
Objective
The aim of this study was to phenotypically and genotypically characterise the ESBL-associated AMR and MDR of Escherichia coli and Klebsiella pneumoniae isolates from patient samples in two Kenyan Hospitals.
Methods
We collected 138 E. coli and 127 K. pneumoniae isolates from various clinical specimens at the two health facilities from January 2020 to Feb 2021. ESBL production and antibiotic susceptibility of the isolates were phenotypically confirmed using a standard procedure. Molecular analysis was done through conventional Polymerase Chain Reaction (PCR) with appropriate primers for gadA, rpoB, blaTEM, blaSHV, blaOXA, blaCTX-M-group-1, blaCTX-M-group-2, blaCTX-M-group-9, and blaCTX-M-group-8/25 genes, sequencing and BLASTn analysis.
Results
Most E. coli (82.6%) and K. pneumoniae (92.9%) isolates were ESBL producers, with the highest resistance was against Ceftriaxone (69.6% among E. coli and 91.3% among K. pneumoniae) and Amoxicillin/clavulanic acid (70.9% among K. pneumoniae). The frequency of MDR was 39.9% among E. coli and 13.4% among K. pneumoniae isolates. The commonest MDR phenotypes among the E. coli isolates were CRO-FEB-AZM-LVX and CRO-AZM-LVX, while the FOX-CRO-AMC-MI-TGC-FM, FOX-CRO-FEP-AMC-TZP-AZM-LVX-MI, and CRO-AMC-TZP-AZM-MI were the most frequent among K. pneumoniae isolates. Notably, the FOX-CRO-FEP-AMC-TZP-AZM-LVX-MI phenotype was observed in both ESBL-positive and ESBL-negative K. pneumoniae isolates. The most frequent ESBL genes were blaTEM (42%), blaSHV (40.6%), and blaOXA (34.1%) among E. coli, and blaTEM (89%), blaSHV (82.7%), blaOXA (76.4%), and blaCTX−M−group−1 (72.5%) among K. pneumoniae isolates. The blaSHV and blaOXA, and blaTEM genotypes were predominantly associated with FOX-CRO-FEP-MEM and CRO-FEP MDR, and CRO AMR phenotypes, among E. coli isolates from Embu Level V (16.7%) and Kenyatta National Hospital (7.0%) respectively.
Conclusions
The high proportion of ESBL-producing E. coli and K. pneumoniae isolates increases the utilization of last-resort antibiotics, jeopardizing antimicrobial chemotherapy. Furthermore, the antimicrobial resistance patterns exhibited towards extended-spectrum cephalosporins, beta-lactam/beta-lactamase inhibitor combinations, fluoroquinolones, and macrolides show the risk of co-resistance associated with ESBL-producing isolates responsible for MDR.
Prediction of spontaneous circulation recovery in out-of-hospital cardiac arrest cardiopulmonary resuscitation patients using machine learning algorithms.
Authors: Chen Ying , Zhang Jiaqi , Li Wentao , Tian Jiangtao , Nie Yingjie , Li Ruiyue , Hao Meilin , zhang yingqi 
Published: April 2023

Abstract
Background: In this study, we develop a machine learning algorithm for the prediction of spontaneous circulation recovery in out-of-hospital cardiac arrest (OHCA) and cardiopulmonary resuscitation (CPR) patients. This will provide data support for the improvement of CPR success rates in OHCA patients.
Methods and Results: We identified 463 patients who had undergone CPR following OHCA between September 2018 and April 2022 from the emergency digital intelligence platform(EDIP).The study endpoint was ROSC,defined as the restoration of a palpable pulse and an autonomous cardiac rhythm lasting for at least 20 minutes after the completion or cessation of CPR.The data were preprocessed with Pandas in python,and the 14 variables with the highest accuracy were determined in combination with clinical characteristics. 75% of the samples were divided into training sets to build the model,and the data were trained and tested using four machine learning algorithms:Logistic regression, XGBClassifier, Gradient Boosting Trees, and Random forest. 25% of the samples were divided into test sets for verification, and the performance of the model was evaluated according to the accuracy,precision,recall,relative operating characteristic curve (ROC curve) of the subjects,and the appropriate model was selected for impact factor analysis. The area under the curve (AUC) values of the four learning models of Logical regression, Random forest, XGBClassifier and Gradient Boosting Trees are 0.73,0.87,0.90 and 0.86 respectively.Select the Random forest(accuracy 0.89, precision 0.90,recall 0.89,AUC 0.87) to calculate the importance of each characteristic value,we concluded that the main predictors of autonomic circulation recovery in OHCA patients are age,speed of CPR initiation,history of cardiopulmonary conditions,another person is present when cardiac arrest occurs,chest compressions and defibrillation.
Conclusions: Machine learning has the potential to predict the recovery of spontaneous circulation in OHCA patients treated with CPR. A Random Forest model was found to provide the most accurate predictions for this purpose. This can be used to provide data support and as a reference source to improve the success rate of CPR.
Predictive Value of monocyte to HCL-C ratio for Coronary Artery Lesion and Intravenous Immunoglobulin Resistance in Kawasaki Disease
Authors: Wang Jia-Ran , Zhao Hai-Zhao , Chang Lu-Jie , Xu Xue , Gao Yuan , Li Meng , Kong Qing-Yu , Wang Min-Min , Zhao Cui-Fen 
Published: April 2023

Abstract
Purpose
We aimed to investigate the predictive validity of monocyte to high-density lipoprotein cholesterol ratio (MHR) for coronary artery lesions (CALs) and intravenous immunoglobulin (IVIG) resistance in Kawasaki disease (KD).
Methods
MHR values of a total of 207 KD patients were calculated and analyzed with regard to their clinical characteristics and outcomes. We compared the differences in clinical data and laboratory parameters between CAL + group and CAL- group as well as between IVIG-resistant group and IVIG-responsive group. Spearman correlation analysis was applied to evaluate the correlation between C-reactive protein (CRP) and MHR. Multivariate logistic regression was used to identify risk factors of CALs and IVIG resistance. Receiver operating characteristic (ROC) curve analysis was chosen to determine the optimal cutoff value of MHR and its validity in predicting CALs and IVIG resistance.
Results
The MHR level was significantly higher in CAL + group, with cut-off value of 1.30 g/L, yielding sensitivity of 0.753 and specificity of 0.805, as well as in IVIG-resistant group, with cut-off value of 1.03 g/L, yielding sensitivity of 0.97 and specificity of 0.485. Multivariate logistic regression showed that MHR was an independent risk factor for CALs but not for IVIG resistance. According to the Spearman correlation analysis, CRP was positively correlated with the MHR.
Conclusions
As a practical, cost-effective inflammatory biomarker, MHR has a significantly predictive value in KD children complicated with CALs and IVIG-resistance. Paying more attention to the changes of MHR in KD children may contribute to better understanding of KD development and prognosis in clinical practice.