bluuebunny/crossref_metadata_2025_split huggingface dataset:
In Silico Docking, ADMET and QSAR Study of few Antimalarial Phytoconstituents as Inhibitors of Plasmepsin II of P. falciparum Against Malaria
Authors: Salam Syeda Sabiha , Chetia Pankaj , Kardong Devid 
Published: September 2019

Background:
Malaria is endemic in various parts of India particularly in the North-
Eastern states with Plasmodium falciparum-the most prevalent human malaria parasite. Plantderived
compounds have always received tremendous importance in the area of drug discovery and
development and scientific study of traditional medicinal plants are of great importance to mankind.

Objective:
The present work deals with the computational study of some antimalarial compounds
obtained from a few medicinal plants used by the tribal inhabitants of the North-Eastern region of
India for treating malaria.

Methods:
In silico methodologies were performed to study the ligand-receptor interactions. Target
was identified based on the pharmacophore mapping approach. A total of 18 plant-derived compounds
were investigated in order to estimate the binding energies of the compounds with their drug
target through molecular docking using Autodock 4.2. ADMET filtering for determining the pharmacokinetic
properties of the compounds was done using Mobyle@RPBS server. Subsequent
Quantitative-Structure Activity Relationship analysis for bioactivity prediction (IC50) of the compounds
was done using Easy QSAR 1.0.

Results:
The docking result identified Salannin to be the most potent Plasmepsin II inhibitor while
the QSAR analysis identified Lupeol to have the least IC50 value. Most of the compounds have
passed the ADME/Tox filtration.

Conclusion:
Salannin and Lupeol were found to be the most potent antimalarial compounds that
can act as successful inhibitors against Plasmepsin II of P. falciparum. The compounds Salannin
and Lupeol are found in Azadirachta indica and Swertia chirata plants respectively, abundantly
available in the North-Eastern region of India and used by many inhabiting tribes for the treatment
of malaria and its symptoms.
Nano-emulgel: Emerging as a Smarter Topical Lipidic Emulsion-based Nanocarrier for Skin Healthcare Applications
Authors: Anand Kumar , Ray Subhabrata , Rahman Mahfoozur , Shaharyar Adil , Bhowmik Rudranil , Bera Rammohan , Karmakar Sanmoy 
Published: September 2019

Background:
In recent decades, enormous efforts for different drug discovery
processes have led to a number of drug molecules available today to overcome different
challenges of the health care system. Unfortunately, more than half of these drugs are listed
in either BCS (biopharmaceutical classification system) class II/ IV or both are eliminated
from the development pipeline due to their limited clinical use. A nanotechnological approach
bears much hope and lipoidal fabrication is found to be suitable for the delivery of
such drugs. Nanoemulsion based gel i.e. nanoemulgel out of different nanolipoidal formulations
has been found to be a suitable approach to successful drug delivery through topical
routes. In past few years many herbal and synthetic active pharmaceutical ingredients (APIs)
has been patented as nano sized emulsified gel for various therapeutic activities.

Methods:
Nanoemulgel is basically an emulsion-based topical gel formulation, where nanosized
emulsion globules can be prepared with the help of high energy or low energy methods
and further converted into nanoemulgel by adding a suitable gelling agent. Nanoemulgel
fabrication enlists various kinds of polymeric materials, surfactants and fatty substances of
natural, synthetic and semi-synthetic nature with a globule size range from 5 to 500 nm.

Results:
Nanoemulgel can be applicable to various acute and chronic diseases through topical
routes.

Conclusion:
Nanoemulgel preparations of many recently approved drugs are being used
successfully in different areas of health care and have re-defined the significance of topical
route of delivery as compared to other routes. However, along with various improvements in
the current state of the delivery system, the safety factor needs to be taken into account by
toxicological studies of the materials used in such formulations.
Integrated In-silico Analysis to Study the Role of microRNAs in the Detection of Chronic Kidney Diseases
Authors: Khan Amina , Zahra Andleeb , Mumtaz Sana , Fatmi M. Qaiser , Khan Muhammad J. 
Published: September 2019

Background:
MicroRNAs (miRNAs) play an important role in the pathogenesis of
various renal diseases, including Chronic Kidney Diseases (CKD). CKD refers to the gradual loss
of kidney function with the declining Glomerular Functional Rate (GFR).

Objective:
This study focused on the regulatory mechanism of miRNA to control gene expression
in CKD.

Methods:
In this context, two lists of Differentially Expressed Genes (DEGs) were obtained; one
from the three selected experiments by setting a cutoff p-value of <0.05 (List A), and one from a
list of target genes of miRNAs (List B). Both lists were then compared to get a common dataset of
33 miRNAs, each had a set of DEGs i.e. both up-regulated and down-regulated genes (List C).
These data were subjected to functional enrichment analysis, network illustration, and gene
homology studies.

Results:
This study confirmed the active participation of various miRNAs i.e. hsa -miR-15a-5p,
hsa-miR-195-5p, hsa-miR-365-3p, hsa-miR-30a-5p, hsa-miR-124-3p, hsa-miR-200b-3p, and hsamiR-
429 in the dysregulation of genes involved in kidney development and function. Integrated
analyses depicted that miRNAs modulated renal development, homeostasis, various metabolic
processes, immune responses, and ion transport activities. Furthermore, homology studies of
miRNA-mRNA hybrid highlighted the effect of partial complementary binding pattern on the
regulation of genes by miRNA.

Conclusion:
The study highlighted the great values of miRNAs as biomarkers in kidney diseases.
In addition, the need for further investigations on miRNA-based studies is also commended in the
development of diagnostic, prognostic, and therapeutic tools for renal diseases.
Morphometric Measurements, Meristic Counts, and Molecular Identification of Alestes Dentex, Alestes Baremoze, Brycinus Nurse, and Brycinus macrolepidotus from the River Nile at Kreima
Authors: Mohammed Amna T. M. , Mahmoud Zuheir N. , Abushama Hind M. 
Published: September 2019

Introduction:
Twenty-two morphometric characters and seven meristic counts were recorded from 324 Alestes specimens from Kreima at the River Nile.

Materials and Methods:
Specimens collected were identified to the species level as Alestes baremoze (100 specimens), Brycinus nurse (100 specimens), Brycinus macrolepidotus (24 specimens), and Alestes dentex (100 specimens). The principal component analysis showed that the lateral line scales and the scale above the lateral line contributed to the percentage variance by 97.01% and 2.56%, respectively. Discriminant function analysis was done to discriminate between field-collected samples of Alestes sp. The LLS, AFR, and LDFL (Longest of Dorsal Fin Lings) were found to be the main characters that discriminate between the four populations.

Results and Discussion:
The first function showed that they were significantly different. This discrimination was a complete one since 98.1% of original grouped specimens and 97.8% of the cross-validated ones were correctly classified. The scatter plot of Discriminant scores from the three functions showed some relatedness between Alestes baremoze and Alestes dentex.
16S ribosomal RNA primers have been used to identify the species at the molecular level. All species have shown a characteristic band (680 bp) indicating successful amplification. Five RAPD primers have been used to investigate the Alestes species. Similar and dissimilar DNA bands indicate the evolutionary connections and genetic spacing, respectively. The derived dendrograms based on morphometric measurements and meristic counts were closer to that derived from the RAPD PCR results.

Conclusion:
The study showed co-existence of four Alestes species in the main River Nile.
Sealability of Different Root Canal Nanosealers: Nano Calcium Hydroxide and Nano Bioactive Glass
Authors: Desouky Asmaa A. , Negm Maged M. , Ali Magdy M. 
Published: September 2019

Background:The success of the endodontic treatment is largely dependent on the sealing achieved by root canal obturation. The application of sealer fills imperfections and increases adaptation of the root filling to the canal walls.Aim:To evaluate the sealability of experimental nanosealers (nano calcium hydroxide and nano bioactive glass) and to compare it with the commercial zinc oxide eugenol sealer using a dye penetration method.Materials and Methods:Sixty single-rooted mandibular premolars were selected. The tooth crowns were removed so as to obtain standardized 15-mm-long root specimens. The root canal was instrumented with Protaper Ni-Ti rotary file and the final file size was up to # F4/.06 (in vitrostudy). They were then randomly allocated into 3 groups of 20 specimens each (n=20) according to the sealer used for obturation, and all samples were filled with single cone gutta-percha (#40/06) and one of the tested sealers. All teeth were coated with nail polish and then suspended in 2% methylene blue dye for 7 days. Stereo-microscope (x10) was used to evaluate the sealability of newly introduced nanosealers. The data were statistically analyzed by ANOVA test followed by post hoc analysis (P< 0.05).Results:Significant improvement shown by the presented study suggests that nano calcium hydroxide sealer showed significantly less dye leakage than nano bioactive glass sealer and zinc oxide eugenol sealer.Conclusion:The results of this study showed that the synthesized nano-powder sealers are suitable for use in root canal therapy to prevent leakage.The root canal can be sealed better by using smaller nano-powder particle sizes. In addition, the two groups exhibited significant differences in leakage in comparison with commonly used ZOE sealer.
Biofilm Formation and Detection of icaD Gene in Staphylococcus aureus Isolated from Clinical Specimens
Authors: Karki Samjhana , Sah Anil K. , Lamichhane Jayram , Maharjan Anjali , Sharma Laxmi , Rajbhandari Rima , Parajuli Shreeya , Acharya Samir , Khanal Santosh 
Published: September 2019

Background:S. aureusis found to be a major source of community as well as hospital acquired infections. The increase in antimicrobial resistance and emergence of multidrug resistance has become a big threat worldwide. The biofilm formation ofS. aureusinfluenced the survival and persistence in both environment and host.Aim:The study was conducted with the aim to evaluatein-vitrobiofilm formation and the presence oficaDgene inS. aureusfrom clinical isolates ofS. aureus.Methods:A total of 570 wound/pus samples were processed by standard microbiological techniques. Colony morphology, Gram’s staining and biochemical tests were used for the identification ofS. aureus. Antimicrobial susceptibility test was performed by Kirby-Bauer disc diffusion technique and methicillin-resistantS. aureuswas detected by using cefoxitin antibiotics. The production of biofilm was screened by Congo Red Agar and finally, the presence oficaDgene was determined by PCR.Results:Out of 570 samples, a total 19.3% (110/570) samples showed the growth ofS. aureus. Among which 59.1% (65/110) were multi-drug resistant. Similarly, 26.4% (29/110) isolates were methicillin-resistantS. aureus. Among MRSA isolates 93.1% (27/29) were MDR with more than 3 classes of antibiotics. Biofilm production was shown by 95.45% (105/110) and 77.3% (85/110) isolates on Congo Red Agar and presence oficaDgene respectively.Conclusion:In this study, the significant association was observed in phenotypic production of biofilm and the presence oficaDgene for the genotypic expression of biofilm. There were also increasing rates of MRSA and multidrug resistanceS. aureus.
Characteristic Movement of the Ribs, Thoracic Vertebrae while Elevating the Upper Limbs - Influences of Age and Gender on Movements
Authors: Tachihara Hisayoshi , Hamada Junichiro 
Published: September 2019

Background:
The rib cage, such as the thoracic spine and ribs, influences glenohumeral mobility and the development of shoulder disorders.

Objective:
To evaluate movements of the ribs, thoracic vertebrae during bilateral arm elevation and to clarify the characteristic influences of age and gender.

Methods:
Subjects comprised 33 healthy individuals divided into a young group (10 males, 7 females; mean age, 25 years) and a middle-aged group (8 males, 8 females; mean age, 52 years). Chest CT was performed with two arm positions: arms hanging downwards; and arms elevated at 160°. Images were three-dimensionally reconstructed to evaluate rib movement, extension angle of thoracic vertebrae.

Results:
Maximal movement was observed at the fifth rib, and rib movement decreased with increasing distance from the fifth rib in both the groups. In males, movement of the second to fourth ribs was smaller in the middle-aged group than in the young group (p < 0.05). Movement of the first to ninth ribs was smaller in females than in males (p < 0.05). No significant difference in the extension angle of the thoracic vertebrae was found.

Conclusion:
Fifth rib movement is the largest among all ribs during bilateral arm elevation. Reduction of upper rib movement initially arises as an age-related degradation in males. Women exhibit less rib movement during bilateral arm elevation.
Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis
Authors: Nguyen Manh Duc , Pham Binh Thai , Tuyen Tran Thi , Hai Yen Hoang Phan , Prakash Indra , Vu Thanh Tien , Chapi Kamran , Shirzadi Ataollah , Shahabi Himan , Dou Jie , Quoc Nguyen Kim , Bui Dieu Tien 
Published: September 2019

Background:Consolidation coefficient (Cv) is a key parameter to forecast consolidation settlement of soft soil foundation as well as in treatment design of soft soil foundation, especially when drainage consolidation is used in foundation treatment of soft soil.Objective:In this study, the main objective is to predict accurately the consolidation coefficient (Cv) of soft soil using an artificial intelligence approach named Random Forest (RF) method. In addition, we have analyzed the sensitivity of different combinations of factors for prediction of the Cv.Method:A total of 163 soil samples were collected from the construction site in Vietnam. These samples at various depth (m) were analyzed in the laboratory for the determination of clay content (%), moisture content (%), liquid limit (%), plastic limit (%), plasticity index (%), liquidity index (%), and the Cv for generating datasets for modeling. Performance of the models was validated using Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Correlation Coefficient (R) methods. In the present study, various combinations of soil parameters were applied and eight models were developed using RF algorithm for predicting the Cv of soft soil.Results:Results of model’s study show that performance of the models using different combinations of input factors is much different where R value varies from 0.715 to 0.822.Conclusion:Present study suggested that RF model with appropriate combination of soil properties input factors can help in better and accurate prediction of the Cv of soft soil.
The Effects of a Knowledge Management Skill Development Program (KMSDP) on the Holistic Health Promotion Knowledge Management Behaviors of Muslim Women Leaders
Authors: Kongvattananon Puangpaka , Othaganont Pranom 
Published: September 2019

Background:
Women have high average life spans and live longer than men. In Thai-Muslim society, women have the role of caring and promoting the health of everyone in their family, such as preparing food, raising the children, and taking care sick persons so they are required to be leaders for promoting health in the family.

Objectives:
To develop a KMSDP and to study the effects of using a KMSDP for knowledge management behaviors regarding holistic health promotion by Muslim women leaders

Methods:
This research is of an exploratory sequential mixed-methods design. The researcher analyzed the qualitative data and SECI concept to develop the KMSDP. The quantitative data were applied to test the program using a pre-test and post-test design. The participants were randomly assigned to the experimental group (n=35). Descriptive statistics and independent t-test were used for the data analyses.

Results:
The qualitative findings indicated three themes applied to create the program: 1) To be in accordance with the Muslim way of life; 2) To conform to rubric religious principle; and 3) To agree with family leaders. As for the effects of the KMSDP on the holistic health promotion knowledge management behaviors, it was found that the post-test mean scores for knowledge, management, and skills were higher than those for the pre-test mean scores at a statistical significance level of .001.

Conclusion:
Healthcare providers, proactively promoting health in the Muslim community, can apply this program to develop Muslim women leaders for holistic health promotion.
Efficacy of Dexmedetomidine Infusion Without Loading Dose as a Potent Hypotensive Agent in Lumbar Fixation Surgery
Authors: Moharram Assem Adel , Mostafa Raham Hasan 
Published: September 2019

Background:Dexmedetomidine on the basis of the previous literature can be considered a safe agent for controlled hypotension through its central and peripheral sympatholytic action. Its easy administration and absence of fatal side effect make it a near-ideal hypotensive agent. This study was intended to evaluate the efficacy of dexmedetomidine infusion “without loading dose” as an effective hypotensive agent in lumbar fixation surgery.Methods:In a double-blind study, a total of 60 patients aged 18-65 years, of both genders, belonging to the American Society of Anesthesiologist (ASA) class I - II scheduled for elective lumbar spine instrumentation were included and divided into: Control group (Group C) who received placebo and Dexmedetomidine group (Group D) who received Intravenous (IV) dexmedetomidine. The patients were compared primarily for intraoperative hemodynamics.Results:The study results showed that dexmedetomidine had successfully maintained target mean blood pressure of 65-70 mmHg and only 2 patients out of 30 required rescue therapy (both of propofol and NG). Also, dexmedetomidine had maintained heart rate stability than the control group from the 15thminute after positioning till the end of surgery (P-value < 0.001). Intraoperative fentanyl consumption was significantly low in Dexmedetomidine group 75 ± 25.43 µgversus169.64 ± 34.26 µg in Control group (P-value < 0.001). Finally, more post-operative sedation was noticed during the 1stpostoperative hour in dexmedetomidine group when compared to the control group (P-value < 0.001).Conclusion:Dexmedetomidine infusion without loading dose could be an effective and safe agent in achieving controlled hypotension in adults undergoing elective lumbar spine instrumentation surgery with limited side effects together with intraoperative opioid-sparing effect.
Dynamic Performance of High-Speed Electric Multiple Unit within Multi-Body System Simulation
Authors: Wang Junguo , Gong Daoping , Sun Rui , Zhao Yongxiang 
Published: September 2019

Background:
With the rapid development of the high-speed railway, the dynamic performance
such as running stability and safety of the high-speed train is increasingly important. This paper
focuses on the dynamic performance of high-speed Electric Multiple Unit (EMU), especially the
dynamic characteristics of the bogie frame and car body. Various patents have been discussed in this
article.

Objective:
To develop the Multi-Body System (MBS) model of EMU, verify whether the dynamic performance
meets the actual operation requirements, and provide some useful information for dynamics
and structural design of the proposed EMU.

Methods:
According to the technical characteristics of a typical EMU, a MBS model is established via
SIMPACK, and the measured data of China high-speed railway is taken as the excitation of track random
irregularity. To test the dynamic performance of the EMU, including the stability and safety, some
evaluation indexes such as wheel-axle lateral forces, wheel-axle lateral vertical forces, derailment coefficients
and wheel unloading rates are also calculated and analyzed in detail.

Results:
The MBS model of EMU has better dynamic performance especially curving performance,
and some evaluation indexes of the stability and safety have also reached China’s high-speed railway
standards.

Conclusion:
The effectiveness of the proposed MBS model is verified, and the dynamic performance of
the MBS model can meet the design requirements of high-speed EMU.
A Trust Based Neighbor Identification Using MCDM Model in Wireless Sensor Networks
Authors: Gautam Amit K. , Kumar Rakesh 
Published: September 2019

Background:
Wireless Sensor Network (WSN) is a major technology for the Internet of
Things (IoT) and is used within an IoT system to facilitate collaboration of heterogeneous information
systems and services. Due to its distributed nature, these networks are highly vulnerable to
various security threats which adversely affect their performance. Trust is one of the influential factors
that applies in the security of WSNs to have its applications in cloud system, e-commerce etc.
The secure and efficient neighbor selection is an issue of Multiple Criteria Decision Making
(MCDM), where many Quality of Service (QoS) parameters play a vital role in the process of best
neighbor selection.

Methods:
A dynamic and efficient trust model is proposed in this paper based on the ranking method
for recommendation of appropriate secure neighbor node. To rank the available neighbors, we
use voting approach and also a hybrid method of Analytical Hierarchy Process (AHP) and Technique
for Order Preference by Similarity to the Ideal Solution (TOPSIS) methods.

Results:
The paper included a case study to demonstrate the effectiveness of proposed method
which maximizes the defense against internal attacks. Complexity analysis has been done to show
the superiority of the proposed method. Time complexity of the proposed algorithm is O (n2) against
the compared algorithm the growth rate of which is O (2n).

Conclusion:
This method evaluates trustworthiness of neighbor node quantitatively as a fraction in
the range 0 and 1. The proposed algorithm when applied, selects the best node among the alternatives.