bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discovery Potential Therapeutic Drugs for Oral Tongue Squamous Cell Carcinoma Based on Text Mining and Data Analysis
Authors: Yang Liuqing , Wang Jue , Yu Jinling , Huang Handan , Gao Ying , Tao Lu , Yao Jingjing , Liu Zhihui 
Published: October 2021

Abstract
Background: Oral tongue squamous cell carcinoma (OTSCC) is the most common malignant tumor of the oral cavity. The aim of this study was to use text mining and data analysis to discover some existing drugs that target genes and to explore potential therapeutic drugs for OTSCC. Methods: We used the text mining tool pubmed2ensembl to extract genes associated with OTSCC, and two datasets (GSE30784, GSE23558) from Gene Expression Omnibus (GEO) were used for the data analysis. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed for the intersection of the three gene sets. Protein-protein interaction (PPI) network was constructed by STRING, gene module analysis was performed using the Molecular Complex Detection (MCODE), a plug-in in Cytoscape. Lastly, a database of drug-gene interactions was used to identify significant genes to explore potential drugs for the treatment of OTSCC.Results: We produced 403 unique genes associated with oral tongue squamous cell carcinoma through text mining. GSE23558 and GSE 30784 obtained 1637 and 1159 differentially expressed genes (DEGs) through data analysis, respectively. A total of 28 genes were obtained from the intersection gene sets, including 20 up-regulated genes and 8 down-regulated genes. We screened the most significant modules by using MCODE, among which 8 genes were associated with oral tongue squamous cell carcinoma as core genes. Eventually, nine drugs were found to target eight genes.Conclusions: In this study, PLAU, SERPINE1, MMP1, MMP3, MMP10, CXCL10, CXCL12, and SPP1 were potentially key genes involved in the treatment of OTSCC. Furthermore, 12 drugs were identified as potential therapeutic agents for oral tongue squamous cell carcinoma treatment and management
A Multi-Modal Intervention To Improve Hand Hygiene in The Health Care Facility and Home Environment During The Peri-Natal Period in Kampong Chhnang, Cambodia: A Controlled Before-And-After Feasibility Study
Authors: Nalule Yolisa , Pors Ponnary , Samol Channa , Ret Senghort , Leang Supheap , Ir Por , Macintyre Alison , Dreibelbis Robert 
Published: October 2021

Abstract
Background

Adequate hand hygiene practices throughout the continuum of care of maternal and newborn health are essential for infection prevention. However, the hand hygiene compliance of facility-based birth attendants, parents and other caregivers along this continuum is low and behavioural-science informed interventions targeting the range of caregivers in both the healthcare facility and home environments are scarce. We assessed the limited efficacy of a novel multimodal behaviour change intervention, delivered at the facility, to improve the hand hygiene practices among midwives and caregivers during childbirth through the return to the home environment.
Methods

The 6-month intervention was implemented in 4 of 8 purposively selected facilities and included environmental restructuring, hand hygiene infrastructure provision, cues and reminders, and participatory training. In this controlled before-and-after study, the hand hygiene practices of all caregivers present along the care continuum of 99 women and newborns were directly observed. Direct observations took place during three time periods; labour, delivery and immediate aftercare in the facility delivery room, postnatal care in the facility ward and in the home environment within the first 48hrs following discharge. Multilevel logistic regression models, adjusted for baseline measures, assessed differences in hand hygiene practices between intervention and control facilities.
Results

The intervention was associated with increased odds of improved practice of birth attendants during birth and newborn care in the delivery room (Adjusted odds ratio [AOR] = 4.7; 95% confidence interval [CI] = 2.7, 7.7), and that of parental and non-parental caregivers prior to newborn care in the post-natal care ward (AOR = 9.2; CI = 1.3, 66.2); however, the absolute magnitude of improvements was limited. Intervention effects were not presented for the home environment due COVID-19 related restrictions on observation duration at endline which resulted in too low observation numbers to warrant testing.
Conclusion

Our results suggest the potential of a facility-based multimodal behaviour change intervention to improve hand hygiene practices that are critical to maternal and neonatal infection along the continuum of care.
Simple and Fast Detection of Homocysteine by cucurbit[7]uril Fluorescent Probe based on Competitive Strategy
Authors: Jiang Chenrui , Xiao Deli , Yang Ping , Tao Wenyao , Song Zhaorui , He Hua 
Published: October 2021

Abstract
This research put forward a simple and rapid fluorescence probe method based on competition strategy to detect homocysteine. The host-guest interaction behavior between cucurbit[7]uril and homocysteine was further studied via UV-vis spectroscopy, Fourier transform infrared spectroscopy, molecular modeling, and 1H NMR spectroscopy in aqueous solution. The binding constant of cucurbit[7]uril-homocysteine measured by 1H NMR titration is 2.40 ´ 103 L mol-1. Under the optimal detection conditions, the fluorescence intensity of the cucurbit[7]uril-berberine complex declined linearly with increasing concentration of homocysteine in the range from 5 to 200 µM, and the limit of detection was 1.76 µM. This established fluorescent probe method exhibits high selectivity for coexisting interfering substances. Meanwhile, it was also successfully employed to detect homocysteine in serum samples with the recovery rate of 85.1% to 102.0%. This supramolecular fluorescent probe based on competitive strategy provides a simple and fast method for the determination of homocysteine in practical samples.
Transmutation of Long-Lived Fission Products in an Advanced Nuclear Energy System
Authors: Sun X. Y. , Luo W. , Lan H. Y. , Song Y. M. , Gao Q. Y. , Zhu Z. C. , Chen J. G. , Cai X. Z. 
Published: October 2021

Abstract
Disposal of long-lived fission products (LLFPs) produced in reactors has been paid a lot attention for sustainable and clean nuclear energy. Although a few transmutation means have been proposed to address this issue, there are still scientific and/or engineering challenges to achieve efficient transmutation of LLFPs. In this study, we propose a novel concept of advanced nuclear energy system (ANES) for transmuting LLFPs efficiently without isotopic separation. The ANES comprises intense photoneutron source (PNS) and subcritical reactor, which consist of lead-bismuth (Pb-Bi) layer, beryllium (Be) layer, and fuel, LLFPs and shield assemblies. The PNS is produced by bombarding radioactive cesium and iodine target with a laser-Compton scattering (LCS) γ-ray beam. We investigate the effect of the ANES system layout on transmutation efficiency by Monte Carlo simulations. It is found that a proper combination of the Pb-Bi layer and the Be layer can increase the utilization efficiency of the PNS by a factor of ~10, which helps to decrease by almost the same factor the LCS γ-beam intensity required for driving the ANES. Supposing that the ANES operates over 20 years at a normal thermal power of 500 MWt, five LLFPs including 99Tc, 129I, 107Pd, 137Cs and 79Se could be transmuted by more than 30%. Their effective half-lives thus decrease drastically from ~106 to less than 102 years. It is suggested that this successful implementation of the ANES paves the avenue towards practical transmutation of LLFPs without isotopic separation.
Reliable P Wave Detection in Pathological Ecg Signals
Authors: MARSANOVA Lucie , NEMCOVA Andrea , SMISEK Radovan , SMITAL Lukas , VITEK Martin , RONZHINA Marina 
Published: October 2021

Abstract
Accurate automated detection of P waves in ECG allows to provide fast correct diagnosis of various cardiac arrhythmias and select suitable strategy for patients’ treatment. However, P waves detection is a still challenging task, especially in long-term ECGs with manifested cardiac pathologies. Software tools used in medical practice usually fail to detect P waves under pathological conditions. Most of recently published approaches have not been tested on such the signals at all. Here we introduce a novel method for accurate and reliable P wave detection, which is success in both normal and pathological cases. Our method uses phasor transform of ECG and innovative decision rules in order to improve P waves detection in pathological signals. The rules are based on a deep knowledge of heart manifestation during various arrhythmias, such as atrial fibrillation, premature ventricular contraction, etc. By involving the rules into the decision process, we are able to find the P wave in the correct location or, alternatively, not to search for it at all. In contrast to another studies, we use three, highly variable annotated ECG databases, which contain both normal and pathological records, to objectively validate our algorithm. The results for physiological records are Se = 98.56 % and PP = 99.82 % for MIT-BIH Arrhythmia Database (MITDP, with MITDB P-Wave Annotations) and Se = 99.23 % and PP = 99.12 % for QT database. These results are comparable with other published methods. For pathological signals, the proposed method reaches Se = 96.40 % and PP = 91.56 % for MITDB and Se = 93.07 % and PP = 88.60 % for Brno University of Technology ECG Signal Database with Annotations of P wave (BUT PDB). In these signals, the proposed detector greatly outperforms other methods and, thus, represents a huge step towards effective use of fully automated ECG analysis in a real medical practice.
Ectopic Expression of a Combination of 5 Genes Detects High Risk Forms of Adult T-cell Acute Lymphoblastic Leukemia
Authors: Peng Li-Jun , Geng Mei , Bourova-Flin Ekaterina , Chuffart Florent , Zhang Wei-Na , Wang Tao , Gao Meng-Qing , Xi Meng-Ping , Cheng Zhong-Yi , Zhang Jiao-Jiao , Liu Yuan-Fang , Chen Bing , Khochbin Saadi , Wang Jin , Rousseaux Sophie , Mi Jian-Qing 
Published: October 2021

Abstract
Objectives T cell acute lymphoblastic leukemia (T-ALL) defines a group of hematological malignancies with heterogeneous aggressiveness and highly variable outcome, making therapeutic decisions a challenging task. We tried to discover new predictive model for T-ALL before treatment.Methods A specific pipeline designed to discover aberrantly active genes was applied here on the RNA-sequencing data of 109 T-ALL patients from our multicenter clinical study. A prognostic classifying test, based on the detection of the combined expression of a subset of these genes was designed and further validated in an additional cohort of 32 adult T-ALL patients by using RT-qPCR. Results The expression of 18 genes was significantly associated with shorter survival, including ACTRT2, GOT1L1, SPATA45, TOPAZ1 and ZPBP (5-GEC), which were used as a basis to design a prognostic classifier for T-ALL patients. The molecular characterization of the 5-GEC positive T-ALL unveiled specific characteristics inherent to the most aggressive T leukemic cells, including a drastic shut-down of genes located on the mitochondrial genome and an upregulation of histone genes. These cases fail to respond to the induction treatment, since 5-GEC either predicted positive minimal residual disease (MRD) or a short-term relapse in MRD negative patients.Conclusion Overall, our investigations led to the discovery of a homogenous group of leukemic cells with profound alterations of their biology. It also resulted in an accurate predictive tool that could significantly improve the management of T-ALL patients.
Controllable Atom-Photon Entanglement Via Quantum Interference Near Plasmonic Nanostructure
Authors: Sangshekan Behzad , Sahrai Mostafa , Asadpour Seyyed Hossein , Bonab Jafar Poursamad 
Published: October 2021

Abstract
A five-level atomic system is proposed in vicinity of a two-dimensional (2D) plasmonic nanostructure with application in atom-photon entanglement. The behavior of the atom-photon entanglement is discussed with and without a control laser field. The amount of atom-photon entanglement is controlled by the quantum interference created by the plasmonic nanostructure. Thus, the degree of atom-photon entanglement is affected by the atomic distance from the plasmonic nanostructure. In the presence of a control field, maximum entanglement between the atom and its spontaneous emission field is observed.
Real Time Observation of Chaperone-modulated Talin Mechanics Under Single Molecule Resolution
Authors: Chakraborty Soham , Banerjee Souradeep , Chaudhuri Deep , Bhatt Madhu , Haldar Shubhasis 
Published: October 2021

Abstract
Recent single-molecule studies have recognized talin as a mechanosensitive hub in focal adhesion, where its function is strongly regulated by mechanical force. For instance, at low force (below 5 pN), folded talin binds RIAM for integrin activation; whereas at high force (above 5 pN), it unfolds to activate vinculin binding for focal adhesion stabilization. Being a cytoplasmic protein, talin might interact with several cytosolic chaperones: however, the role of chaperones in talin mechanics is unknown.To address this question, we investigated the force response of a mechanically stable talin domain with a set of well-known holdase (DnaJ, DnaK, Hsp70, and Hsp40) and foldase (DnaKJE, DsbA) chaperones, using single-molecule magnetic tweezers. Our findings demonstrate that chaperone could affect adhesion proteins stability by changing their folding mechanics; while holdase chaperones reduce their unfolding force to ~6 pN, foldase chaperones shift it up to ~15 pN. Since talin is mechanically synced within 2 pN force ranges, these changes are significant in cellular condition. Furthermore, we determined the fundamental mechanism of this altered mechanical stability, where chaperones directly reshape their energy landscape: unfoldase chaperone (DnaK) decreases the unfolding barrier height from 26.8 to 21.7 kBT, while foldase chaperone (DsbA) increases it to 33.5 kBT. We reconciled our observations with eukaryotic Hsp70 and Hsp40 chaperones and observed their similar function of decreasing the talin unfolding barrier to 23.1 kBT. The quantitative mapping of this chaperone-induced talin folding landscape directly illustrates that chaperones perturb the adhesion protein stability under physiological force, thereby influencing their force-dependent interactions and adhesion dynamics.
Preoperative Lymphocyte-to-Monocyte Ratio as a Predictor of Prognosis in Patients who Underwent Resection of Renal Cell Carcinoma with Inferior Vena Cava Tumor Thrombus
Authors: Lv Zheng , Feng Hua-Yi , Wang Tao , Li HongZhao , Ma Xin , Zhang Xu 
Published: October 2021

Abstract
Background: The aim of the study was to evaluate the prognostic value of preoperative lymphocyte to monocyte ratio (LMR) in patients with renal cell carcinoma and inferior vena cava tumor thrombus (RCC-IVCTT) after surgery. Methods: We retrospectively reviewed the medical data of 144 consecutive patients who underwent RCC-IVCTT after surgery. Time-dependent receiver operating characteristic curve analysis was performed to calculate the optimal cutoff value for preoperative LMR. The Kaplan-Meier method was used to assess and compare survival. Univariable and multivariable Cox proportional hazard models were constructed to identify independent prognostic factors for survival. The Harrell concordance index was used to assess the predictive accuracy. Results: Decreased preoperative LMR was significantly correlated with clinicopathological features related to tumor progression. Patients in the high LMR group featured longer postoperative hospital stays and greater blood loss during surgery than those in the low LMR group. Decreased preoperative LMR was an independent risk factor for decreased overall survival (OS) (P < 0.05) and progression free survival (PFS) (P < 0.05). For PFS, integrating LMR into each model led to an increased predictive accuracy of 6.9% for the TNM staging model (P = 0.014), 6.8% for the UISS model (P = 0.006), and 3.4% for the SSIGN model (P = 0.017). Incorporating LMR into the SSIGN model led to an increased predictive accuracy of 6.5% for OS (P < 0.001). Conclusions: Preoperative LMR is an independent prognostic factor for patients with RCC-IVCTT after surgery. Adding preoperative LMR to prognostic models enhances their predictive accuracy.
Frequency of Carriers for Rare Metabolic Diseases in a Brazilian Cohort of 320 Patients
Authors: Quaio Caio Robledo , Moreira Caroline Monaco , Chung Christine Hsiaoyun , Perazzio Sandro Felix , Dutra Aurelio Pimenta , Kim Chong Ae 
Published: October 2021

Abstract
Several metabolic disorders follow an autosomal recessive inheritance pattern. Epidemiological information on these disorders is usually limited in developing countries. Our objective is to assess carrier frequencies of rare autosomal recessive metabolic diseases in a cohort of Brazilian patients that underwent molecular investigation with exome sequencing and estimate the overall frequency of these diseases using the Hardy-Weinberg equation. We reviewed the molecular findings of 320 symptomatic patients who had carrier status for recessive diseases actively searched. A total of 205 rare variants were reported in 138 different genes associated with metabolic diseases from 156 patients, which represents that almost half (48.8%) of the patients were carriers of at least one heterozygous pathogenic/likely pathogenic variant for rare metabolic disorders. Most of these variants are harbored by genes associated with multisystemic involvement. We estimated the overall frequency for rare recessive metabolic diseases to be 10.96/10,000 people, while the frequency of metabolic diseases potentially identified by newborn screening was estimated to be 2.93/10,000. This study shows the potential research utility of exome sequencing to determine carrier status for rare metabolic diseases, which may be a possible strategy to evaluate the clinical and social burden of these conditions at the population level and guide the optimization of health policies and newborn screening programs.
Virtual Screening of PEBP1 Inhibitors By Combining 2D/3D-QSAR Analysis, Hologram QSAR, Homology Modeling, Molecular Docking Analysis and Molecular Dynamic Simulations
Authors: Stitou Mourad , TOUFIK Hamid , Akabli Taoufik , Lamchouri Fatima 
Published: October 2021

Abstract
Human Phosphatidylethanolamine Binding Protein 1 (hPEBP1) is a novel target affecting numerous cellular signaling pathways involving in the formation of metastases. It can be used in the treatment of many cases of cancer. For these reasons, the Pharmaceutical Companies use computational approaches, including Multi-QSAR (2D, 3D, and Hologram QSAR) analysis, Homology modeling and molecular docking analysis and molecular dynamic simulations to accelerate the drug discovery process. In this paper, QSAR modeling was conducted using two quantum chemistry optimization methods (AM1 and DFT levels). As per PLS results, we found that DFT (B3LYP(d, p)) method present high predictability according to 2D-QSAR, CoMFA, CoMSIA, and Hologram QSAR studies, with Q2 of 0.81, 0.67, 0.79 and 0.67 respectively, and external power with R2pred of 0.78, 0.58, 0.66 and 0.56, respectively. This results has been validated by CoMFA/CoMSIA graphics, which suggests that electrostatic fields combined with hydrogen bond donor/acceptor fields are beneficial to the antiproliferative activity. While the Hologram QSAR models show the contributions of each fragment in improving the activity. The results from QSAR analyses revealed that Ursolic Acids with heterocyclic ring could improve the activities. However, Ramachandran plot validated the modeled PEBP1 protein. Whereas, molecular docking and MDs simulations revealed that the hydrophobic and hydrogen bond interactions are dominant in the PEBP1's pocket. These results, were used to predict the structures of three new compounds with high anticancer activity In Silico, Similarly, molecular docking stability studies and molecular dynamics simulations were conducted.
Shaking Table Test and Numerical Simulation On Seismic Behavior of a Receiver Tower in Concentrated Solar Power Plant Under Vertical Earthquake
Authors: Li Jiarui , Bai Guoliang , Hao Bin , Peng Shengjie , Lang Yanyu , Xu Yazhou 
Published: October 2021

Abstract
The solar receiver tower is a new type of high-rise power generation structure, which has been constructed and applied in a small amount around the world in recent years. To understand its seismic behavior under vertical earthquakes, a 1/18 reduced scale model structure was designed and investigated by shaking table test. The El-Centro wave, Taft wave and Artificial wave were input as the earthquake excitation. This paper summarized the results of the experimental work, which could provide an important theoretical basis for evaluating the seismic behavior of receiver tower under vertical earthquakes. The damage distribution, dynamic characteristics, acceleration responses, displacement responses and vertical seismic force were analyzed quantitatively. In addition, a numerical simulation model of the receiver tower was established, and nonlinear time-history analysis was then conducted by using the software ABAQUS. The results between the experimental test and the numerical simulation were compared and they were in good agreement. Both of experimental and numerical simulation results showed that the model structure was subjected to huge vertical seismic force in the middle part of concrete cylinder under vertical earthquakes with high PGA, which caused severe damage and should be paid more attention in seismic design. Despite the serious damage and complex earthquake responses, combined with experimental test and simulation results, the seismic behavior of structure under vertical earthquake is good and generally satisfactory.
Efficacy of Pulegone Pre-treatment in Mitigating the Oxidative Damage
by NaCl Applied to Allium cepa L. Seeds
Authors: de Lima Silva Jailson Renato , dos Santos Larisse Bernardino , Silva de Oliveira Elayne Eally , Oliveira Carlos Vinícius Barros , Costa Adrielle Rodrigues , Pereira Pedro Silvino , Barros Luiz Marivando , Pinho Antonio Ivanildo , Kamdem Jean Paul , Duarte Antonia Eliene 
Published: October 2021

Background:
Saline stress is an important environmental factor that limits the productivity
of numerous agricultural crops, such as onion (Allium cepa L.), a vegetable present in gardens
and used in various ways. Pulegone has been identified as a component that has a large number of
biological functions.

Objective:
The aim of this study was to investigate the effect of pulegone (100 and 500 μg/mL) on
the morphological and biochemical changes to onions induced by stressing seeds with NaCl.

Method:
Soil composition, emergence percentage and its inhibition, emergence speed index (ESI),
leaf and root parameters, malondialdehyde (MDA) content, free iron content and chelation/oxidation
capacity (Fe2+) were measured following 120 days of treatment.

Results:
Pulegone was able to significantly improve the changes in ESI caused by saline stress, not restoring other emergence parameters. The leaf size was also improved by the pulegone, which did not affect the morphological changes of the roots.

Conclusion:
Our results suggest that the use of pulegone is a viable treatment to mitigate the effects
of salt stress on A. cepa seeds.