bluuebunny/crossref_metadata_2025_split huggingface dataset:
Behavioral Responses of a Generalist Pest, Spilosoma Obliqua Walker, Towards the Leaf Surface Wax Chemicals of Three Types of Jute Crop and Implications in Pest Management
Authors: Roy Nayan , Mobarak Syed Husne 
Published: December 2021

Abstract
Behavioral responses of a generalist pest, Spilosoma obliqua Walker (Lepidoptera: Arctiidae), towards the leaf surface wax chemicals of three types of jute crops (white jute, Corchorus capsularis, tossa jute, C. olitorious,, and mesta jute or kenaf, Hibiscus cannabinus [Malvaceae]) and their implications in pest management was studied under laboratory conditions. The GC-MS and GC-FID analyses of the jute leaf epicuticular waxes indicated the presence of 27 n-alkanes, having chain lengths from n-C14 to n-C36 and 14 free fatty acids (FFAs) having chain lengths from C12:0 to C22:0. Among the identified n-alkanes and FFAs of selected jute cultivars n-C34 (144.397±6.971 µg leaf−1) and C16:1 (37.034±0.848 µg leaf−1) of tossa jute leaves were most abundant. The host preference (white jute> tossa jute > mesta jute) of S. obliqua was evaluated simultaneously by olfactory, visual, and tactile recognition, as valid for other lepidopteran species. For olfaction [females], oviposition [gravid females], and feeding [larvae]) in S. obliqua, the most stimulating combined-synthetic-mixture of epicuticular wax components was represented by 4 n-alkanes (n-C16, n-C18, n-C20, n-C22) and 5 FFAs (C16:1, C16:0, C18:0, C20:0, C22:0) in mixture at leaf equivalent (µg leaf−1) amounts (195.209±2.950 µg, 119.777±1.857 µg, and 50.567±3.508 µg, respectively) in white jute, tossa jute, and mesta jute, respectively. Thus, the present study suggests that the synthetic blends of 4 n-alkanes and 5 FFAs of respective jute crops can be used as lures to develop baited trap as a part of integrated pest management (IPM) of S. obliqua for sustainable jute cultivation.
Factors Associated With Minimum Dietary Diversity Among Children Aged 6 to 23 Months in Debre Berhan Town, Central Ethiopia: Community-based Cross-sectional Study
Authors: Demie Takele Gezahegn , Gesese Getachew Tilahun , Derseh Behailu Tariku , Mruts Kalayu Birhane , Gebremariam Tesfaye Birhane 
Published: December 2021

Abstract
Background: Minimum dietary diversity (MDD) is the consumption of four or more food groups from the seven food groups. Poor infant and young child feeding (IYCF) practices in the first 2 years of age are among major causes of childhood undernutrition, illness, and mortality. Therefore, this study aimed at investigating MDD and its associated factors among IYC aged 6–23 months in Debre Berhan town, central Ethiopia.Methods: A community-based cross-sectional study was undertaken from January 1 to 30, 2017. A simple random sampling technique was used to sample 377 IYC aged 6-23 months with mothers/caregivers. An interviewer-administered structured and pretested questionnaire was used to collect data through a face-to-face interview. Data were cleaned and entered into Epidata 3.1, exported to SPSS software version 20. Logistic regression was fitted and an odds ratio with a 95% confidence interval (CI) and p-value less than 0.05 was used to identify factors associated with MDD. Results: A total of 377 IYC aged 6-23 months with mothers/caregivers were participated in the study. The proportion of children who met the MDD practice was 58.4%. Mother’s education [(AOR = 0.15; 95% CI = 0.02-0.88), (AOR = 0.21; 95% CI = 0.05-0.97)], mother’s occupation (AOR = 0.28; 95% CI = 0.15-0.54), father’s occupation (AOR = 3.45; 95% CI = 1.40-8.54), and number of antenatal care visit by mothers (AOR = 0.54; 95% CI = 0.30-0.97) were factors associated with MDD among IYC.Conclusion: Even though the study showed better progress as compared to the national prevalence of the consumption of MDD, it is substandard in the study area. Thus, more efforts need to be done to achieve the recommended MDD intake for all children aged between 6 and 23 months. Increasing mothers’ level of education, creating employment opportunities for both mothers and fathers’, and increasing the frequency of ANC service use are vital interventions to improve IYCF practices in Debre Berhan town.
Sonochemically Prepared GdWNFs/CNFs Nanocomposite As An Electrode Material For The Electrochemical Detection of Antibiotic Drug in Water Bodies
Authors: P Manikanta , R Hari Prasad B , P Sanjay B , S Sandeep , S Santhosh A , S Karthik C , P Mallu , Rajabathar Jothi Ramalingam , Karnan Muthusamy 
Published: December 2021

Abstract
The work demonstrates the development of an electrochemical sensor for quantification of Chloramphenicol (CA) using pencil graphite electrode (PGE) modified with Gadolinium tungstate nano flakes and carbon nano fibers composite (PGE/GWNfs/CNFs). The composite was further characterized and confirmed by X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy (EDS), Transmission electron microscopy (TEM) analysis. The prepared GWNfs/CNFs nano composite was fabricated by drop casting method to get PGE/GWNfs/CNFs working electrode. The modified electrode is then analyzed by cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS) and differential pulse voltammetry (DPV) methods for its electrochemical and electrocatalytic property. The electrochemical investigation of developed sensor shows enhanced activity towards electro-oxidation of CA. The DPV studies revealed high efficacy characteristics such as sensitivity in the range 0.03984 µA µM-1cm-2, selectivity, good linear range (5-50 μM), and low detection limit (0.4 μM). The study benchmarks the use of GWNfs/CNFs as an excellent transducer material in electrochemical sensing of CA in standard samples thus, it finds an efficient potential application in the analysis of CA in environment sample analysis.
Differential Response of Human Amniotic Membrane Proteins in Hepatocellular Carcinoma: Analysis of the Glycolytic Metabolism
Authors: Alves Andreia P , Rocha Sandra M , Mamede Ana C , Alves Marco G , Oliveira Pedro F , Botelho Filomena M , Maia Cláudio 
Published: December 2021

Abstract
Background: The human Amniotic Membrane (hAM) has been studied as a potential therapeutic option in cancer, namely in hepatocellular carcinoma. Previously, our research group evaluated the effect of human Amniotic Membrane Protein Extracts (hAMPE) in cancer therapy, demonstrating that hAMPE inhibit the metabolic activity of human hepatocellular carcinoma cell lines: Hep3B2.1-7, HepG2 and Huh7. Therefore, the aim of this study was to evaluate the effect of hAMPE treatment in glucose metabolism of hepatocellular carcinoma. Methods and Results: Glucose uptake and lactate production was assessed by 1H-NMR, and the expression of several mediators of the glycolytic pathway was evaluated by Western blot or fluorescence. Our results showed that hAMPE treatment increased glucose consumption on Hep3B2.1-7, HepG2, and Huh7 through the increase of GLUT1 in Hep3B2.1-7 and Huh7, and GLUT3 in HepG2 cells. It was observed increased expression of 6-phosphofrutokinase (PFK-1L) in all cell lines, indicating that glucose can be converted to pyruvate. Also, it was verified that glucose seems not to be converted to lactate on HepG2 and Huh7 cells, suggesting that hAMPE treatment may contradict the Warburg effect observed in carcinogenesis. In Hep3B2.1-7, the hAMPE treatment induced an increase in expression of lactate dehydrogenase (LDH) and monocarboxylate transporter isoform 4 (MCT4). Conclusions: Overall, this work highlighted the potential usefulness of hAMPE as anticancer therapy through the modulation of the glycolytic metabolism in human hepatocellular carcinoma.
Layer-Specific Intracortical Amplification Shortens the Lifetime of Thalamocortical Repetition Suppression in Auditory Cortex
Authors: Ma Jing , Brunk Michael , Matysiak Artur , Härtwich Nina , Ohl Frank , May Patrick , Happel Max , König Reinhard , Deliano Matthias 
Published: December 2021

Abstract
Neural adaptation in sensory cortex serves important sensory functions, and is altered by various neurophsychiatric diseases. Although adaptation is a widely studied phenomenon, much remains unknown about its underlying mechanisms on a cortical circuit level. Here, we investigated repetition suppression as fundamental aspect of adaptation by layer-specific current source density analyses of synaptic mass activities in primary auditory cortex of anesthetized Mongolian gerbils (Meriones unguiculatus). We disentangled different synaptic contributions to repetition suppression in different cortical layers, and separated thalamocortical from intracortical inputs by cortical silencing with GABAA-agonist muscimol. We systematically varied stimulus onset intervals and employed statistically robust model fitting based on bootstrapping to determine the full suppression kinetics of different synaptic responses in the steady state. Whereas thalamocortical input to granular and infragranular layers was governed by longer lasting repetition suppression, most likely reflecting depression of thalamocortical synapses, intracortical amplification in granular layers shortened the lifetime of suppression by re-enhancing granular responses mainly through synchronization of synaptic events. With increasing latency, the shorter lasting suppression kinetics observed in granular layers at early latencies (<100ms) passed on to deeper layers replacing the longer lasting infragranular suppression kinetics. Granular circuit dynamics can therefore actively shape neural adaptation across cortical layers.
Improving Data Transparency and Accessibility in the Research Community through the Construction of Accurately Simulated Time-to-Event Datasets
Authors: Smith Aiden , Lambert Paul , Rutherford Mark 
Published: December 2021

Abstract
BackgroundA lack of availability of data and statistical code being published alongside journal articles provides a significant barrier to open scientific discourse, and reproducibility of research. Information governance restrictions inhibit the active dissemination of individual level data to accompany published manuscripts. Realistic, accurate time-to-event synthetic data can aid in the acceleration of methodological developments in survival analysis and beyond by enabling researchers to access and test published methods using data similar to that which they were developed on.MethodsThis paper presents methods to accurately replicate the covariate patterns and survival times found in real-world datasets using simulation techniques, without compromising individual patient identifiability. We model the joint covariate distribution of the original data using covariate specific sequential conditional regression models, then fit a complex flexible parametric survival model from which to simulate survival times conditional on individual covariate patterns. We recreate the administrative censoring mechanism using the last observed follow-up date information from the initial dataset. Metrics for evaluating the accuracy of the synthetic data, and the non-identifiability of individuals from the original dataset, are presented.ResultsWe successfully create a synthetic version of an example colon cancer dataset consisting of 9064 patients which aims to show good similarity to both covariate distributions and survival times from the original data, without containing any exact information from the original data, therefore allowing them to be published openly alongside research. ConclusionsWe evaluate the effectiveness of the simulation methods for constructing synthetic data, as well as providing evidence that it is almost impossible that a given patient from the original data could be identified from their individual unique date information. Simulated datasets using this methodology could be made available alongside published research without breaching data privacy protocols, and allow for data and code to be made available alongside methodological or applied manuscripts to greatly improve the transparency and accessibility of medical research.
Transforming the Generative Pretrained Transformer Into Augmented Business Text Writer
Authors: Khalil Faisal , Pipa Prof. Dr. Gordon 
Published: December 2021

Abstract
This study uses transformers architecture of Artificial neural networks to generate artificial business text for a given topic or theme. The implication of the study is to augment the business report writing, and general business writings process with help of Generative pretrained transformers (GPT) networks. Main focus of study is to provide practical use case for GPTs models with help of big data. Our study model has 355 million model parameters and trained for three months on GPU enable devices using 2.3 billion text tokens(is available as open-source data now). Text tokens are collected with help of rigorous preprocessing, which includes; shortlisting of Subreddits of Fortune 500 companies and industries, listed on US-based social news aggregation online portal called "Reddit". After shortlisting, millions of submission of users during the five years, are parsed to collect the URLs out of it. 1.8 million working URLs are scrutinized. Business text is parsed, cleaned, and converted into word embeddings out of URLs. The result shows that both models; conditional interactive and random sampling, generate text paragraphs that are grammatically accurate and stick to the given topic.
Exploration and Identification of Potential Therapeutic Targets and Biomarkers for Docetaxel Resistant Prostate Cancer
Authors: Pan Ke-Hao , Wan Lin-Li , Xu Bin , Chen Ming 
Published: December 2021

Abstract
Background: Prostate cancer has become the third most common cancer, and the death rate of advanced patients due to metastasis and invasion is high. Approximately 40% to 50% of castration resistant prostate cancer responding to docetaxel did not show a substantial and sustained prostate specific antigen decline, and the median response duration was limited to 6 to 9 months.Objective: To understand the pathogenesis of docetaxel-resistant prostate cancer (DRPC), and to search for prognostic markers and new therapeutic targets.Methods: RNA sequencing data of GSE36135 and GSE33455 from the Gene Expression Synthesis Database were used to search for co-expressed genes. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors, which were validated by expression and survival analyses. Subsequently, their ability to jointly predict patient prognosis was evaluated. Then, the lasso Cox regression model was established to evaluate the correlation of DEGs with immune score, ferroptosis, methylation, and OCLR score. And predicted for targeted small molecule drugs and validated the effect of small molecule drugs.Results: EZH2 and SRC were identified as potential therapeutic targets and effective prognostic markers for docetaxel-resistant prostate cancer, and were found to be significantly associated with the immune score, ferroptosis, methylation, and OCLR score. Targeted small molecule drugs were predicted and validated for EZH2 and SRC.Conclusions: This study helps to fully explain the mechanism of docetaxel-resistant prostate cancer formation and provides new immune-related therapeutic targets and biomarkers for it. Preliminary exploration of the effects of docetaxel in combination with urapidil or roxithromycin in prostate cancer cells
The Temporal Relationship Between Sleep Duration and Blood Lipids in Chinese Middle-aged and Elderly Individuals: Evidence From CHARLS
Authors: Ma Yilei , Chen Ziwei , Duan Yanran , Mo Tingting , Liu Wenli , Zhang Xia , Yin Ping 
Published: December 2021

Abstract
Background: To explore the temporal relationship between blood lipids and sleep duration and clarify their potential causality in Chinese middle-aged and elderly individuals.Methods: We used medical examinations and questionnaire data of 5016 Chinese middle-aged and elderly individuals in 2011 and 2015. Cross-lagged path analysis was performed to examine the potential bidirectional relationships between blood lipids and sleep duration.Results: In total population, significant bidirectional relationship was observed between sleep duration and high-density lipoprotein cholesterol level and the path coefficients were -0.171 (P = 0.005) and -0.006 (P = 0.002). In contrast, there was a positive correlation between and sleep duration, and the path coefficient from triglycerides to sleep duration 4 year later (O = 0.001, P = 0.018) was greater than that from sleep duration to triglycerides 4 year later (b = 0.109, P = 0.847), with P = 0.030 for the difference between j and e. Longer sleep duration was associated lower levels of low-density lipoprotein cholesterol (c = -0.275, P = 0.097) and total cholesterol (t = -0.329, P = 0.096) 4 year later. In stratified analysis, effects of sleep duration on blood lipids were only observed among individuals aged < 60 years, while the effect in the opposite direction was observed in elderly individuals, and the cross-lagged path coefficients were more significant in adults with BMI > 25.Conclusions: Temporal relationships between sleep duration and high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, total cholesterol, and triglycerides were different. The strength and direction of the relationships may be related to age and BMI.
Six Biomarkers Expressed Stably in Urinary Exosomes During All Life Stages - As the Reference Markers in Urinary Quantification
Authors: Zhang Man , Wang Yizhao , Zhao Man , Liu Na , Lu Cuixiu , Jiang Jun , Li Tao , Hu Mei 
Published: December 2021

Abstract
BackgroundUrinary extracellular exosomes (uEVs) have been identified as a novel, stable and no-invasive source of biomarkers. However, the potential clinical value of uEVs is limited by the lack of standard quantitative proteomics data. It is necessary to uncover ubiquitous and stable proteins of uEVs as the reference markers in urinary quantification.Samples and methodsThe samples from 210 healthy individuals (3~90 years old), were divided into seven different stages of life. The uEVs samples were identified by LC-MS/MS and data-independent acquisition (DIA) methods. Eight stably expressed uEVs proteins were obtained by bioinformatics analysis. Moreover, 42 samples were used to validate by Western blot, ELISA, and immunofluorescence.ResultsA total of 3,002 proteins and 1,393 co-expression uEVs proteins were identified by LC-MS/MS. The bioinformatics analysis showed 1,393 co-expression proteins mostly enriched in endocytosis. Eight proteins were stably expressed throughout the seven age stages (p<0.05). Furthermore, RAB8A, RAB8B, Semaphorin-5A, Plexin-B2, JAMA, and STUB1 were validated by Western blot. Above all, RAB8A and RAB8B are the most stably expressed proteins in different age stages.ConclusionRAB8A, RAB8B, Semaphorin-5A, Plexin-B2, JAMA, and STUB1 were expressed stably proteins throughout the age stages. These six proteins might be the standard reference markers in the analysis of urine exosomal proteomics. RAB8A and RAB8B have been validated are the putative reference markers.
Justification for the use of Markovian Langevin statistics in the modelling of activated surface diffusion.
Authors: Wilkinson Jeremy , Ellis John 
Published: December 2021

Abstract
Low temperature surface diffusion is driven by the thermally activated hopping of adatoms between adsorption sites. Helium spin-echo techniques, capable of measuring the sub-picosecond motion of individual adatoms, have enabled the bench-marking of many important adsorbate-substrate properties. The well-known Markovian Langevin equation has emerged as the standard tool for the interpretation of such experimental data, replacing adatom-substrate interactions with stochastic white noise and linear friction. However, the consequences of ignoring the colored noise spectrum and non-linearities inherent to surface systems are not known. Through the computational study of three alternative models of adatom motion, we show that the hopping rate and jump distributions of an adatom are fixed to within a few percent by the potential energy surface and a new generalized energy exchange rate parameter alone, independent of the model used. This result justifies the use of the Markovian Langevin equation, regardless of the true statistical nature of adatom forces, provided results are quoted in terms of the new energy exchange rate parameter. Moreover, numerous mechanisms for the effect of noise correlations and non-linear friction on the energy exchange rate are proposed which likely contribute to activated surface diffusion and activated processes more generally.
Internalising and Externalising Symptoms Before and During the Initial COVID-19 Lockdown in the UK and Turkey: A Cross-cultural Examination
Authors: Morgul Evren , Kallitsoglou Angeliki , Essau Cecilia A. 
Published: December 2021

Abstract
Background: The COVID-19 pandemic has had a profound effect on the mental health and wellbeing of children and young people. Culture can influence emotional and behavioural responses to the pandemic and its consequences, but research is primarily focused on single country experiences. The study examined differences in caregiver worry of infection and experience with the confinement during the initial lockdown and their impact on children’s internalising and externalising symptoms across two culturally different countries which were severely affected by the pandemic: UK and Turkey.Method: Participants were 1849 caregivers with children between 5 and 12 years old in the UK (n= 995) and Turkey (n = 854) who completed a 20 -min electronic survey on child and family wellbeing distributed via social networks during the initial phase of the COVID-19 lockdown (July and August 2020).Findings: Worry of infection was higher amongst caregivers in the Turkish sample and it independently predicted change in children’s internalising symptoms in the Turkish sample only. Caregivers in the Turkish sample reported more difficulty with family coexistence during the lockdown, but regressions analysis showed that difficulty with coexistence independently predicted change in children’s externalising and internalising symptoms before and during the lockdown in both samples. The study revealed cross-cultural differences in the predictors of change in children’s internalising and externalising symptoms before and during the initial national COVID-19 lockdown.
Indonesian Genomic Landscape of Pathogenic Mutation of APC, KRAS, TP53, PIK3CA, and MLH1 in Colorectal Cancer
Authors: Marbun Vania Myralda Giamour , Lalisang Toar Jean Maurice , Erlina Linda 
Published: December 2021

Abstract
Background : Knowing colorectal cancer’s heterogeneity and dynamic features, recognizing its biological behaviour requires detailed identification of mutated genes involved. Colorectal cancer (CRC) requires several mutated genes to occur and those are dissimilar in each person hence essential to be discovered in specific population. Until recently, there is no known study describing genomic landscape of CRC in Indonesian population. This study aims to describe profile of pathogenic mutation of APC, TP53, PIK3CA, KRAS, and MLH1 in CRC patients treated at 3 different hospitals in Jakarta. Methods : This is a descriptive study conducted on CRC patients who underwent neoadjuvant, surgical, and adjuvant therapy at RSCM, RSKJ, and MRCCC in 2017-2018. DNA analysis was performed using next-generation sequencing and aligned against GRCh38. Pathogenic variant was identified using ACMG classification and FATHMM score. Data related to behaviour and survival were collected from medical records. Results : There were total 22 subjects in which APC, TP53, and PIKCA were mutated. KRAS mutation occurred in 64%, while MLH1 in 45%. Five types of mutation were identified, including nonsense, missense, frameshift, splice-site, and silent mutation. There are 4 groups of co-occurring mutations, which are APC, TP53, PIK3CA (triple mutation/TM) alone; TM+KRAS; TM+MLH1; and TM+KRAS+MLH1, presenting different nature and survival. Conclusion : Indonesia having various ethnicities with diverse diet and lifestyle has distinct profile of pathogenic mutation presenting mostly with locally-advanced stage with various outcome and survival rate.