bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of Molecular Modeling And Molecular Dynamics Simulation In BRCA-1 And BRCA-2 Genes of Amygdalin Ligand
Authors: ÖNER Erkan , demirhan Ilter , GHOSH Arabinda , GUNGOR Meltem , YALIN Ali Erdinc , YALIN Serap 
Published: September 2021

Abstract
Breast cancer is the most common type of cancer and the most fatal type among women. BRCA-1 and BRCA-2 are tumor suppressor genes known to cause breast cancer. Drug studies have become very important to target the production of more accurate drugs by reducing the cost with the previous designs of drugs in this field. Amygdalin is used in the treatment of especially cancer, characterized by the loss of red blood cell production. In this study, which was conducted for the first time, it was aimed to examine the use of amygdalin in breast cancer treatment by coupling to the active regions of BRCA-1 and BRCA-2 genes by molecular docking method. The best attachment scores were selected. Amygdalin was taken from PubChem database in sdf format. According to the molecular insertion results, the free energy of the amygdalin ligand for binding to the BRCA-1 protein was -4.8 kcal/mol and the free energy for binding to the BRCA-2 protein was -7.2 kcal/mol also include Ki values. MD simulation was performed using Desmond. Insertion results show that the amygdalin ligand binds more strongly to the BRCA-2 protein than to the BRCA-1 protein. MD simulation for the highly active inhibitor Amigydalin in complex with protein BRCA-2 revealed that the stabilization of ligand was achieved due to the formation of uninterrupted hydrophobic interactions. Due to the binding power of amygdalin ligand, it reveals a unique structure for breast cancer and it is thought to be a reference for designing new molecules with the same structure against cancer and applying these molecules in vivo and in vitro studies.
Deep Learning Algorithmic Approach for Operational Anomaly Based Intrusion Detection System in Wireless Sensor Networks
Authors: Abhale Ashwini Bhaskar , Manivannan S S 
Published: September 2021

Abstract
Because of the ever increasing number of Internet users, Internet security is becoming more essential. To identify and detect attackers, many researchers utilized data mining methods. Existing data mining techniques are unable to provide a sufficient degree of detection precision. An intrusion detection system for wireless networks is being developed to ensure data transmission security. The Network Intrusion Detection Algorithm (NIDS) uses a deep classification system to classify network connections as good or harmful. Deep Convolution Neural Network (DCNN), Deep Recurrent Neural Network (DRNN), Deep Long Short-Term Memory (DLSTM), Deep Convolution Neural Network Long Short-Term Memory (DCNN LSTM), and Deep Gated Recurrent Unit (DGRU) methods that use NSLKDD data records to train models are proposed. The experiments were carried out for a total of 1000 epochs. During the experiment, we achieved a model accuracy of more than 98 percent. We also discovered that as the number of layers in a model grows, so does the accuracy.
The development of a blended emergent research training program for clinical nurses (Part 1)
Authors: Chen Qirong , Li Zeen , Tang Siyuan , Zhou Chuyi , Castro Aimee R. , Jiang Shan , Huang Chongmei , Xiao Jinnan 
Published: September 2021

Abstract
Background
Nursing research training is important for the improvement of nursing research competence of clinical nurses. High-quality development is crucial for a good nursing research training program. Therefore, the objectives of this study are: (1) To develop a blended emergent research training program for clinical nurses based on a needs assessment and related theoretical framework; (2) To describe and discuss the uses and advantages of the ADDIE model (Analyze, Design, Develop, Implement, Evaluate) in the instructional design and potential benefits of the blended emergent teaching method.
Methods
This intervention development study adopted mixed-methods design. The ADDIE model (Analyze, Design, Develop, Implement, Evaluate) was followed to develop the research training program for clinical nurses based on the limitations of current nursing research training programs, the needs of clinical nurses, and the theoretical foundation of blended emergent teaching.
Results
In this study, a theoretical framework of blended emergent teaching was constructed to provide theoretical guidance for the development of training program. Following the ADDIE model, a blended emergent research training program for clinical nurses to improve nursing research competence was developed based on the needs of clinical nurses and the theoretical framework of blended emergent teaching.
Conclusions
The nominal group technique could effectively identify learners’ common needs and priorities. The ADDIE model is a valuable process model to guide the development of a blended emergent training program. Blended emergent teaching is a promising methodology for improving the learner’s learning initiative and educational outcomes. More empirical studies are needed to further evaluate the blended emergent teaching to promote the development of related theories and practice in nursing education.
Immune responses following the first dose of the Sputnik V (Gam-COVID-Vac)
Authors: Malavige Gathsaurie , Jeewandara Chandima , Fernando Harsha , Pushpakumara Pradeep Darshana , Tanussiya Shyrar , Kamaladasa Achala , Gunasekara Banuri , Aberathna Inoka , Kuruppu Heshan , Ranasinghe Thushali , Dayarathne Shashika , Dissanayaka Osanda , Gamalath Nayanathara , Ekanayaka Dinithi , Jayamali Jeewantha , Wijesinghe Ayesha , Dissanayake Madushika , Somathilaka Gayasha , Harvie Michael , Danasekara Saubhagya , Jayathilaka Deshni , Wijayathilaka Dinesh , Kekulandara Chinthaka , Schimanski Lisa , Rijal Pramila , Tan Tiong Kit , Dong Tao , Townsend Alain , Ogg Graham , Weerasooriya Nihal 
Published: September 2021

Abstract
As the first dose of Gam-COVID-Vac, is currently used as a single dose vaccine in some countries, we investigated the immunogenicity of this at 4 weeks (327 naïve individuals). 88.7% seroconverted, with significantly lower seroconversion rates in those over 60 years (p = 0.004) and significantly lower than previously seen with AZD1222 (p = 0.018). 82.6% developed ACE2 receptor blocking antibodies, although levels were significantly lower than following natural infection (p = 0.0009) and a single dose of AZD1222 (p < 0.0001). Similar titres of antibodies were observed to the receptor binding domain of WT, B.1.1.7 and B.1.617.2 compared to AZD1222, while the levels for B.1.351 were significantly higher (p = 0.006) for Gam-COVID-Vac. 30% developed ex vivo IFNγ ELISpot responses (significantly lower than AZD1222), and high frequency of CD107a expressing T cells along with memory B cell responses. Although single dose of Gam-COVID-Vac was highly immunogenic, administration of a second dose is likely to be beneficial.
Effect of Integrating LED Lighting With Fiber Membranes On The Restoration of Eutrophic Waterbody And Its Optimal Application
Authors: Hao Aimin , Mi Qi , He Kai , Xia Dong , Liu Bingjun , Lin Yingchao , Zhu Yongsi , Zhao Min , Iseri Yasushi 
Published: September 2021

Abstract
In this study, laboratory experiments were used to compare the effects of two LED light sources (blue and red) combined with fiber membranes on the increase of Dissolved Oxygen (DO) in eutrophic water bodies for improvement of water quality. The results showed that the application of these two LED light sources can increase the DO concentration and oxidation-reduction potential (ORP), and eliminate the NH4+-N in water bodies and the phosphorus release from the sediment, resulting in the improvement of sediment. Specifically, the blue LED light source is more benefitable to the increase of the DO concentration than the red LED light source. After 28 days, the DO concentration increases to 10 mg/L, and the redox potential is higher than 50 mV with the elimination of NH4+-N. This study illustrated that LED light sources can significantly increase the DO and effectively improve the water quality in eutrophic water bodies.
N6-methyladenosine Reader YTHDF1-induced lncRNA DLGAP1-AS2 Promotes the c-Myc Mediated Gastric Cancer Aerobic Glycolysis
Authors: Yang Changshun , Zhang Yu , Cheng Xuefei , Li Weihua 
Published: September 2021

Abstract
Background: Emerging data has demonstrated the essential function of N6-methyladenosine (m6A) modification of long non-coding RNAs (lncRNAs) in human tumorigenesis. Nevertheless, the regulation of m6A-lncRNA approach on gastric cancer (GC) tumorigenesis is unclear. Methods: LncRNA expression profile data was derived from GEO. M6A profile was screened using Methylated RNA immunoprecipitation sequencing (MeRIP-Seq). The metabolism assays were conducted using quantitative analysis of glucose, lactate, ATP and extracellular acidification rate (ECAR). The m6A level of specific RNA was identified using MeRIP-qPCR. The molecular interaction was detected using RIP assay.Results: In the findings, results showed that enhanced DLGAP1-AS2 expression was correlated with advanced pathological stage and poor prognosis. Functionally, DLGAP1-AS2 promoted the aerobic glycolysis and knockdown of DLGAP1-AS2 suppressed the tumor growth of GC cells. Mechanistically, m6A reader YTHDF1 accelerated the enrichment of DLGAP1-AS2 in GC. Moreover, DLGAP1-AS2 interacted with YTHDF1 to integrate c-Myc mRNA, thereby enhancing the stability of c-Myc mRNA through DLGAP1-AS2/m6A/YTHDF1/c-Myc mRNA. Conclusions: In conclusion, our work indicates a novel m6A-maintained lncRNA DLGAP1-AS2 in the GC aerobic glycolysis, disclosing a m6A-reader-dependent modality regulation.
Characteristics of Foreshocks Occurrence of Onshore Earthquakes In Japan For Mj3.0 To 7.2 Mainshocks
Authors: Peng Hong , Mori James Jiro 
Published: September 2021

Abstract
We use the Japan Meteorological Agency (JMA) earthquake catalogue from 2001 to 2021 to investigate the spatiotemporal distribution of foreshocks for shallow mainshocks (Mj3.0–7.2) that are located onshore of Japan. We find clear peaks for the earlier small earthquakes within 10 days and 3 km prior to the mainshocks, which are considered as our definition of foreshocks. After removing the aftershocks, earthquake swarms and possible earthquakes triggered by the 2011 Mw9.0 Tohoku-oki earthquake, we find that for the 2,066 independent earthquakes, 783 (37.9%) have one or more foreshocks. There is a decreasing trend of foreshock occurrence with mainshock depth. Also, normal faulting earthquakes have higher foreshock occurrence than reverse faulting earthquakes. We calculate the rates of foreshock occurrence as a function of the magnitudes of foreshocks and mainshocks, and we have found no clear trend between the magnitudes of foreshocks and mainshocks.
The Influence of Personality Traits On Mental Symptoms in 5, 449 Chinese University Volunteers : A Cross-Sectional Study
Authors: Jiang Zhaoqiang , Lin Guoming , Chen Junqiang , Chen Junfei , Jiang Huiquan , Feng Lingfang , Jiang Xiyi , Jin Mingying , Lou Jianlin , Ni Zhe 
Published: September 2021

Abstract
Background

Mental health of university volunteers is essential for the successful holding of essential meetings and sports games. The impact of personality traits on the mental symptoms of university volunteers is not well studied. The study objective is to assess personality traits as predictors of mental symptoms in university volunteers in China.
Method

We carried out a cross-sectional study. The study sample consisted of volunteers from sixteen main universities in the city of Hangzhou. The OQ-45 scale was used to evaluate mental symptoms and the PHI was used for the measurement of personality traits. Multiple linear regression analysis was used to study relationships between personality factors and mental symptoms.
Results

Estimation of personality traits revealed higher scores on subscales of hypomania, depression, and psychopathic deviance. The OQ-45 scale identified 1.4% of volunteers as having psychological disorders. PHI scores were positively correlated with scores on the OQ-45 scale (P < 0.01). Anxiety was correlated particularly strongly with interpersonal relationship score and total OQ-45 score (r = 0.6, P < 0.05). Furthermore, we found that personality traits could influence the explicit mental symptoms of the volunteers. Volunteers with traits of anxiety and depression reported a significant impact on their mental symptoms.
Conclusions

The OQ-45 and PHI scales can be used to screen volunteers with mental symptoms. Inner personality traits could be used to predict the mental symptoms of volunteers in China. Our results might assist organizers of future conferences and games in selecting appropriate university volunteers.
Alfalfa Hay Supplementary Intake is Advancing Effect To Rumen Fermentation and Microbial Function of Gansu Alpine Fine Wool Sheep During Cold Season
Authors: Jianlei Jia , Liping Zhang , Wujun Guo , Guangtian Hou , Jianping Wu , SHABUER HAERALI , Qian Chen 
Published: September 2021

Abstract
Bodyweight loss and rumen microbial dysfunction of grazing sheep was a challenge for the sheep production industry during cold season, which were considered to correlated with under-roughage-feeding. The objective of our research was to assess the role of Alfalfa hay supplementary intake in roughage in ewes’ rumen fermentation and microbial function. 120 ewes were allocated randomly into 4 groups, and were fed with different level of alfalfa hay, respectively. Individual ewes’ bodyweight, blood biochemical indexes and rumen microbial characteristics were analyzed after the end of feeding trials. The results showed that alfalfa hay supplementary could significantly enhance sheep body weight, nitrogen components (Total-N, Soluble protein-N and Ammonia-N), blood biochemical indices (LDH, BUN and CHO) and ruminal volatile fatty acids (P < 0.05). Meantime, alfalfa hay supplementary increased the richness and diversity of ruminal fluid microbiota, and decreased ruminal fluid microbiota beta-diversity. The ruminal fluid microbiota of alfalfa hay supplementary feeding showed low immune pathway and high carbohydrate metabolism pathway. Overall, the study suggested that there was an increasing tendency of alfalfa-hay-supplementary group in 30% Yellow Maize Silage + 70% Alfalfa Hay roughage in body weight, ruminal fermentation and microbial function, which improved GS performance through developing hay supplementary system during cold season.
Brain Storm Optimization Algorithm for Data Classification
Authors: Zhang Zhifeng , Zhu Shaolin , Li Tianqi , Li Baohuan 
Published: September 2021

Abstract
With the increasing of the number of dimensions or variables in the search space, the inductive learning of fuzzy rule classifier will be influenced by the generation and optimization of rules. Thus, the extensibility and accuracy of fuzzy systems will be affected. In this paper, the brain storm optimization algorithm was used. A new fuzzy system was designed by modifying the rules definition process in traditional fuzzy system. In the derivation of rules, the exponential model was introduced to improve the traditional brain storming algorithm. On the basis, this new fuzzy system was used for the research on data classification. The experimental results show that this new fuzzy system can improve the accuracy of data classification.
­­­­Exposure Assessment of Methyl Mercury from Consumption of Fish and Seafood in Peninsular Malaysia
Authors: Ahmad Nurul Izzah , Mahiyuddin Wan Rozita Wan , Azmi Wan Nurul Farah Wan , Azlee Ruzanaz Syafira Ruzman , Shaharudin Rafiza , Sulaiman Lokman Hakim 
Published: September 2021

Abstract
The concentration of meHg in freshwater fish and seafood was investigated, as well as the consumption patterns of fish and seafood by different demographic groups (age, ethnicity, gender). A potential alarm for human-health hazards was also assessed, and the results were compared to the Provisional Tolerable Weekly Intakes (PTWIs) and the Hazard Quotient parameter (HQ). Results showed that meHg levels of 67 species ranged from 0.013 to 0.252 mg/kg of wet weight (WW) with significant differences between different fish and seafood groups (χ2KW = 49.09; p < 0.001). Median concentrations of meHg in fish and seafood groups in descending orders: demersal fish (0.1006 mg/kg WW) > pelagic fish (0.0686 mg/kg WW) > freshwater fish 0.045 mg/kg WW) > cephalopods (0.0405 mg/kg WW) crustaceans (0.0356 mg/kg WW). Results revealed that older population (> 40 years old) consumed significantly (p = 0.000) more fish compared to younger generations and the elderly consumed the highest amounts of fish (104.0 ± 113.0 g/day). The adolescents (10–17 years old) consumed more than double of amount for both cephalopod and crustacean compared to the older populations (p < 0.05). Malay ethnic (96.1 ± 99.6 g/day) consumed significantly (p = 0.000) higher amounts of fish and seafood compared to other ethnicity, similarly to male subjects (95.2 ± 102 g/day; p = 0.026) when compared to the female (86 ± 96.3 g/day). The estimated weekly intake (EWI) values showed results of below 1.6 µg/kg BW/week, the tolerable levels recommended by the Joint FAO/WHO Expert Committee on Food Additives (JECFA) for all different demographic factors except for higher consumers at 75th percentile and above. Consumption of marine fish contributed to higher value of PTWI to all different demographic groups (the estimated weekly intake (EWI) range: 0.2988–0.6893 µg/kg BW/week) but for the adolescents, where from the consumption of crustaceans (0.3488 µg/kg BW/week or 21.8% of PTWI) and cephalopods (0.504 µg/kg BW/week or 31.5% of PTWI). Results from this study also revealed the HQ value for overall consumption of fish and seafood by the adolescents and elderly exceeded one. This was contributed from the consumption of demersal fish and cephalopods, thus indicating the non-acceptable level of non-carcinogenic adverse health effects.
Strain-Tuned Structural, Mechanical and Electronic Properties of Two-Dimensional Transition Metal Sulfides ZrS2: A First Principles Study1
Authors: Song Qi , Liu Xin , Wang Hui , Wang Xiaoting , Ni Yuxiang , Wang Hongyan 
Published: September 2021

Abstract
Two-dimensional semiconductor material zirconium disulfide (ZrS2) monolayer is a new promising material with good prospects for nanoscale applications. Recently, a new zirconium disulfide (ZrS2) monolayer with a space group of 59_Pmmn has been successfully predicted. Using first-principles calculations, this new monolayer ZrS2 structure is obtained with stable indirect band gaps of 0.65 eV and 1.46 eV at the DFT-PBE (HSE06) functional levels, respectively. Strain engineering studies on ZrS2 monolayer show effective band gap modulation. The bandgap shows a linear regularity from narrow to wide under applied stresses (strain ranged from − 6% to + 8%). Young's modulus of elasticity of ZrS2 rectangular cells along the tensile directions (x-axis and y-axis) is 83.63 (N/m) and 63.61 (N/m) with Poisson's ratios of 0.09 and 0.07, respectively. The results of carrier mobility show that the electron mobility along the y-axis can reach 1.32×103 cm2V− 1s− 1. Besides, the order of magnitude of the light absorption coefficient in the ultraviolet spectral region is calculated to reach 2.0×105cm−1 for ZrS2 monolayers. Moreover, by regulating the bandgap under stress, some bandgaps of the stretched energy band exceed the free energy of 1.23 eV and possess a suitable energy band edge position. The results indicates that the new two-dimensional Pmmn-ZrS2 monolayer is a potential material for photovoltaic devices and photocatalytic water decomposition.
Phactr1 Negatively Regulates Bone Mass By Inhibiting Osteogenesis And Promoting Adipogenesis of BMSCs Via RhoA/ROCK2
Authors: Lin Wei , Chen Zhipeng , Mo Xiaoyi , Zhao Shengli , Wen Zhenxing , Cheung Wing Hoi , Fu Dan , Chen Bailing 
Published: September 2021

Abstract
Background: The imbalance between osteogenic and adipogenic differentiation of Bone Marrow-Derived Mesenchymal Stem Cells (BMSCs) is involved in the occurrence and development of Osteoporosis (OP). Previous studies have indicated the potential of phosphatase and actin regulatory factor 1 (Phactr1) in regulating osteogenic and adipogenic differentiation of BMSCs.The present study aims to investigate The Function and Mechanism of Phactr1 in regulating osteogenic and adipogenic Differentiation of BMSCs.Results: Phactr1 increased in both bone and adipose tissue of OP rats. During osteogenic differentiation , Phactr1 decreased and active RhoA, ROCK2 increased, while overexpression Phactr1 inhibits the increase of Runx2. Phactr1 increased and active RhoA decreased, ROCK2 did not changed during adipogenic differentiation, knockdown Phactr1 inhibits the increase of C/EBPα. Phactr1 and ROCK2 were combined in osteogenic differentiation, but not in adipogenic differentiation. By using KD025, the decrease of Phactr1 and the increase of Runx2 were inhibited respectively in osteogenic differentiation. Meanwhile, when ROCK2 was inhibited, Phactr1,C/EBPα were significantly increased in adipogenic differentiation.Conclusions: These findings indicated that Phactr1 negatively regulates bone mass by inhibiting osteogenesis and promoting adipogenesis of BMSCs by activating RhoA/ROCK2.
Plasmonic Refractive Index Sensor Optimized for Color Detection
Authors: Yaseer Ahmad Azuad , Hassan Md. Farhad , Tathfif Infiter , Rashid Kazi Sharmeen , Sagor Rakibul Hasan 
Published: September 2021

Abstract
In this paper, a six cavity-based metal-insulator-metal plasmonic sensor is proposed. The designed sensor can detect six primary colors in the visible wavelength. Moreover, the proposed sensor can also sense the change in the refractive index. An initial sensitivity of 648.41 nm/RIU and figure of merit of (FOM) 141.29 are found based on the transmittance profile extracted through the two-dimensional (2D) finite element method (FEM). The structural parameters are optimized to maximize the performance of the modeled device both as a color filter and a refractive index sensor. The optimized FOM, FOM* and sensitivity are recorded as 218.80, 4.771 × 10⁴, and 865.31 nm/RIU, respectively. Due to high FOM and FOM*, this sensor is expected to be utilized as a color filter in various sectors, such as medical, industrial, and forensic, where the light of a particular wavelength is mandatory.