bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hybrid Optimization Algorithm for solving Path Planning Problems Based on Grey Wolf Optimization Algorithm
Authors: Cheng Gang , Liu Yadong 
Published: July 2024

Abstract

The grey wolf optimization algorithm is a heuristic optimization algorithm based on the behavior of grey wolf groups in nature. It has the advantages of a simple concept and few adjustment parameters, and it is widely used in a variety of fields. To address the above shortcomings, this study proposes an improved grey wolf optimization algorithm that uses the gold migration formula from the gold mining optimization algorithm and incorporates chaotic mapping, the gold mining optimization algorithm, the vertical and horizontal crossover strategy, and the Gaussian mutation. Chaos mapping is used to initialize the grey wolf population, ensuring that it is more evenly distributed across the search space. The grey wolf algorithm's α-wolf is updated with the gold migration formula from the gold mining optimization algorithm, increasing its diversity. Horizontal crossover is used for searching, which reduces the algorithm's blind zone and improves its global search capability. Vertical crossover prevents the algorithm from converging prematurely. The introduction of the Gaussian mutation effectively prevents the algorithm from falling into the local optimum premature problem. To determine the algorithm's effectiveness, this study compares the improved Grey Wolf optimization algorithm to other Grey Wolf optimization algorithms on 23 benchmark functions. After experimental verification, the proposed algorithm outperforms the other comparative algorithms. Meanwhile, when the algorithm is applied to path planning, the paths generated are shorter, and the running time is shorter than that of other algorithms, demonstrating the algorithm's applicability.
Synthesis and investigation of structural and high temperature conduction mechanism of TiO 2 /N-GQDs nanocomposite thin films as a transparent conducting material
Authors: Kumar Adesh , Azad Seema , Chand Subhash 
Published: July 2024

Abstract

This study includes the synthesis and characterization of N-GQDs, pure TiO2, and TiO2/N-GQDs nanocomposites thin films prepared by spin-coating technique. The gel of TiO2 nanoparticles and N-GQDs was prepared using sol-gel and hydrothermal techniques, respectively. Further, the TiO2/N-GQDs nanocomposites were prepared by sol-gel method in the weight % ratio of 90 TiO2/10 N-GQDs and 80 TiO2/20 N-GQDs. The structural, optical and electrical behaviour of these thin film has been investigated using XRD, AFM, HR-TEM, UV-Visible spectroscopy and two probe methods. The XRD study had confirmed the tetragonal structure of TiO2. The average crystallite size calculated using Debye-Scherrer’s equation has been found to be 13.56 nm for TiO2 which decreases up to 11.31 nm for 80 TiO2/20 N-GQDs. The HR-TEM analysis had confirmed the successful formation of N-GQDs having the average particle size about 8.63 nm. Further, the optical band gap was found to be 4.33 eV, 3.16 eV for N-GQDs, TiO2 which increases up to 3.88 eV for 80 TiO2/20 N-GQDs thin film. Also, it has been observed that the transparency of 80 TiO2/20 N-GQDs thin film was increased up to 84.2% in contrast to 75.6% of pure TiO2. Further, the temperature dependent I–V characteristics of prepared thin films within the temperature range of 293–513 K and voltage range of 0–60 V depicts the decreased resistivity up to 1.85 × 104 Ω-cm at 513 K from 3.35 × 104 Ω-cm at 293 K of 80 TiO2/20 N-GQDs thin film. Moreover, the increase in the transparency of 80 TiO2/20N-GQDs thin film and decreased resistivity up to 1.85 × 104 Ω-cm at 513 K suggests its utilization as a transparent and conducting electrode in optoelectronic devices.
Preparation of coal gangue based geopolymer and electrical conductivity studies
Authors: Zha Wenhua , Lv Wenfang , Li Jielian , Xu Tao , Chen Denghong 
Published: July 2024

Abstract

Geopolymers are both an effective way to achieve solid waste utilization of coal gangue and an environmentally friendly alternative to ordinary Portland cement. At the same time, the rich ionic content of geopolymers gives them superior conductivity, which makes them potentially valuable for applications in a variety of fields such as nondestructive testing, ice and snow melting, and electromagnetic shielding. However, the influence of external factors on its conductivity is still unclear, which limits its wide application in construction. In this study, coal gangue and slag are used to prepare geopolymer under alkaline excitation conditions, and the influence laws of alkali equivalent, slag substitution rate, modulus and water-cement ratio on its consistency, compressive strength and resistivity are investigated, and the changing law of resistivity of specimens with the curing ages and water content are also explored. It is found that the compressive strength is affected by alkali equivalent, slag substitution rate, modulus and water-cement ratio. When the alkali equivalent, slag substitution rate, modulus and water-cement ratio are taken to 12%, 55%, 1.2, 5 or12%, 45%,1.2, 4 respectively, the compressive strength at 28 days could be more than 80 MPa. Resistivity is first decreased and then increased with increasing alkali equivalent, increasing slag substitution rate, or increasing modulus, and is decreased with increasing water-cement ratio, and all of them are increased with increasing curing ages. At the age of 7 days, it is most significantly affected by alkali equivalent, while after the age of 14 days, it is more significantly affected by modulus and slag substitution rate than alkali equivalent; the effect of water-cement ratio is smaller at different ages. In addition, the resistivity is shown to increase significantly with decreasing water content, and the resistivity is increased by nearly 5–6 orders of magnitude when the specimens are transformed from the surface-dry state to the dry state.
Energy Transfer and Localization in a Forced Cyclic Chain of Oscillators with Vibro-Impact Nonlinear Energy Sinks
Authors: Weidemann Tobias , Bergman Lawrence A. , Vakakis Alexander F. , Krack Malte 
Published: July 2024

Abstract

We theoretically investigate the strongly nonlinear dynamics, inter-modal targeted energy transfer (IMTET) and energy localization in an elastically coupled cyclic chain of oscillators with vibro-impact nonlinear energy sinks (VI-NESs) under symmetric harmonic standing or traveling wave forcing. Each identical sector of the chain consists of a single linear oscillator hosting a VI-NES, which is a small mass that is freely placed inside a cavity of the oscillator. We show that the VI-NESs are able to synchronize to the global response of the structure in the form of 1:1 resonance captures with the oscillators in each sector. In addition, localized states at higher amplitudes can be found where the VI-NESs synchronize to the motion of their host-oscillators in only a subset of all sectors. We derive an analytical model to predict the frequency-amplitude branches of these synchronized solutions and study their (practical) stability numerically. We show that high and practically stable localized amplitudes only arise for sufficiently low excitation wavenumbers and weak inter-sector coupling strengths. However, even the largest practically stable amplitudes show a significant reduction of the vibration level compared to the corresponding linear resonant responses. Hence, a robust high performance of the VI-NESs is observed for all excitation wavenumbers and inter-sector coupling strengths.
Development of a whole-cell SELEX process to select species-specific aptamers against Aspergillus niger
Authors: Ellena Valeria , Ioannou Alexandra , Kolm Claudia , Farnleiter Andreas H. , Steiger Matthias G. 
Published: July 2024

Abstract

Background
Spores produced by the filamentous fungus Aspergillus niger are abundant in a variety of environments. The proliferation of this fungus in indoor environments has been associated to health risks and its conidia can cause allergic reaction and severe invasive disease in animals and humans. Therefore, the detection and monitoring of Aspergillus conidia is of utmost importance to prevent serious fungal infections and contaminations. Among others, aptamers could serve as biosensors for the specific detection of fungal spores.
Results
In this study, a whole-cell SELEX approach was optimized for conidia of A. niger. Three whole-cells SELEX experiments were performed in parallel with similar conditions. Quantification of recovered ssDNA and melting curve analyses were applied to monitor the ongoing SELEX process. Next-generation sequencing was performed on selected recovered ssDNA pools, allowing the identification of DNA aptamers which bind with high affinity to the target cells. The developed aptamers were shown to be species-specific, being able to bind to A. niger but not to A. tubingensis or to A. nidulans. The binding affinity of two aptamers (AN01-R9-006 and AN02-R9-185) was measured to be 58.97 nM and 138.71 nM, respectively, which is in the range of previously developed aptamers.
Conclusions
This study demonstrates that species-specific aptamers can be successfully developed via whole-cell SELEX to distinguish different Aspergillus species and opens up new opportunities in the field of diagnostics of fungal infections.
Age-related dysregulation of B cells in acute respiratory distress syndrome
Authors: Chen Huaiyong , Song Licheng , Li Kuan , Huang Liuming , Yao Chen , Liu Yaru , Lian Di , Xu Hao , Zhao Zhe , Feng Qiushuang , Wang Jing , Hao Yun , Hong Xiaoyang , Su Ruofan , Xie Lixin 
Published: July 2024

Abstract

The role of B cells in distinguishing the outcomes of acute respiratory distress syndrome (ARDS) in children and adults remains unclear. We studied the transcriptomic characteristics of peripheral blood B cell alterations in children and adults with ARDS using single-cell RNA and B-cell receptor repertoire analysis. During the acute phase, adults exhibited higher neutrophil counts and lower B cell levels than children. The maturation and activation of naïve B cells were impaired in adults with ARDS by T cells and neutrophils via the MIF-CD74-PI3K-AKT pathway. Upregulated interferon-γ and interferon-α contributed to aberrant nuclear factor kappa B and Janus kinase/signal transducers and activators of transcription activation, resulting in apoptosis and pro-inflammation in plasma cells of adults and children with ARDS, respectively. Autoimmune patterns and diminished hyperexpanded clonotypes in plasma cells were similar in fatal cases of ARDS in adults and children. These findings elucidate B cell maturation, activation, and immunoglobulin patterns in ARDS, providing a foundation for prognostic assessment and B cell-targeted therapies.
In situ training of an in-sensor artificial neural network based on ferroelectric photosensors
Authors: Fan Zhen , Lin Haipeng , Jiali Ou , Yan Xiaobing , Hu Wenjie , Cui Boyuan , Xu Jikang , Li Wenjie , Chen Zhiwei , Yang Biao , Kun Liu , Mo Linyuan , Li Meixia , Lu Xubing , Zhou Guofu , Gao Xingsen , Liu Jun-Ming 
Published: July 2024

Abstract

In-sensor computing has emerged as an ultrafast and low-power technique for next-generation machine vision. However, in situ training of in-sensor computing systems remains challenging due to the demands for both high-performance devices and efficient programming schemes. Here, we experimentally demonstrate the in situ training of an in-sensor artificial neural network (ANN) based on ferroelectric photosensors (FE-PSs). Our FE-PS exhibits self-powered, fast (<30 μs), and multilevel (>4 bits) photoresponses, as well as long retention (15 days), high endurance (109), high write speed (100 ns), and small cycle-to-cycle and device-to-device variations (~0.66% and ~2.72%, respectively), all of which are desirable for the in situ training. Additionally, a bi-directional closed-loop programming scheme is developed, achieving a precise and efficient weight update for the FE-PS. Using this programming scheme, an in-sensor ANN based on the FE-PSs is trained in situ to recognize traffic signs for commanding a prototype autonomous vehicle. Moreover, this in-sensor ANN operates 50 times faster than a von Neumann machine vision system. This study paves the way for the development of in-sensor computing systems with in situ training capability, which may find applications in new data-streaming machine vision tasks.
Directional Stock Price Forecasting Based on Quantitative Value Investing Principles for Loss Averted Bogle-Head Investing using Various Machine Learning Algorithms
Authors: Moitra Agnij 
Published: July 2024

Abstract

Boglehead investing, founded on the principles of John C. Bogle is one of the classic time tested long term, low cost, and passive investment strategy. This paper uses various machine learning methods, and fundamental stock data in order to predict whether or not a stock would incur negative returns next year, and suggests a loss averted bogle-head strategy to invest in all stocks which are expected to not give negative returns over the next year. Results reveal that XGBoost, out of the 44 models trained, has the highest classification metrics for this task. Furthermore, this paper shall use various machine learning methods for exploratory data analysis, and SHAP values reveal that Net Income Margin, ROA, Gross Profit Margin and EBIT are some of the most important factors for this. Also, based on the SHAP values it is interesting to note that the current year has negligible contribution to the final prediction. Investors can use this as a heuristic guide for loss averted long term (1-year) stock portfolios.
JEL: C38, C53, G17, G11, C45
Trend analysis of precipitation and drought characteristics over Churu district of northeast Rajasthan, India
Authors: Patel Shahid , Mehta Darshan , Kumar Vijendra , Patel Shakera , Tiwari Deepak Kumar 
Published: July 2024

ABSTRACT
Drought is one of the most destructive natural disasters, becoming more extreme and less predictable due to climate change. Drought directly affects a region's water resources, leading to inadequate water availability and harming crops, animals, and humans. The objective of the present study is to assess the long-term trends of precipitation and drought characteristics for the Churu district of northeast Rajasthan, India. For this purpose, mean monthly precipitation data are collected through the India-WRIS from 1901 to 2022. The trend analysis uses statistical methods (M-K test & amp; SS estimator), and the results are compared with a graphical method (innovative trend analysis). Drought events are found using precipitation-based drought indices, i.e., standardized precipitation index, Z-score index, and percentage of normal precipitation index. Interestingly, the results of the statistical method are well matched with the results of the graphical method. The study concludes that during the annual precipitation a rising trend is observed, which can help to mitigate the severity of drought. Also, it is found that moderately dry droughts occur most frequently compared with other drought events. This study will help policy-makers and local administrators to take necessary action to mitigate the severity of drought.
MicroRNA-605-3p Inhibited the Growth and Chemoresistance of Osteosarcoma Cells via Negatively Modulating RAF1
Authors: Wang Mao , Li Weina , Han Guohui , Bai Xiangdong , Xie Jun 
Published: July 2024

Background:
Osteosarcoma (OS) is the leading cancer-associated mortality in
childhood and adolescence. Increasing evidence has demonstrated the key function of microRNAs
(miRNAs) in OS development and chemoresistance. Among them, miRNA-605-3p acted as an
important tumor suppressor and was frequently down-regulated in multiple cancers. However, the
function of miR-650-3p in OS has not been reported.

Objective:
The aim of this work is to explore the novel role of miR-605-3p in osteosarcoma and its
possible involvement in OS chemotherapy resistance.

Methods:
The expression levels of miR-605-3p in OS tissues and cells were assessed by reverse
transcription quantitative PCR (RT-qPCR). The relevance of miR-605-3p with the prognosis of OS
patients was determined by the Kaplan-Meier analysis. Additionally, the influence of miR-605-3p
on OS cell growth was analyzed using the cell counting kit-8, colony formation assay, and flow
cytometry. The mRNA and protein expression of RAF1 were detected by RT-qPCR and western
blot. The binding of miR-605-3p with the 3’-UTR of RAF1 was confirmed by dual-luciferase
reporter assay.

Results:
Our results showed that miR-605-3p was markedly decreased in OS tissues and cells. A
lower level of miR-605-3p was strongly correlated with lymph node metastasis and poor 5-year
overall survival rate of OS patients. In vitro assay found that miR-605-3p suppressed OS cell
proliferation and promoted cell apoptosis. Mechanistically, the proto-oncogene RAF1 was seen as
a target of miR-605-3p and strongly suppressed by miR-605-3p in OS cells. Restoration of RAF1
markedly eliminated the inhibitory effect of miR-605-3p on OS progression, suggesting RAF1 as a
key mediator of miR-605-3p. Consistent with the decreased level of RAF1, miR-605-3p
suppressed the activation of both MEK and ERK in OS cells, which are the targets of RAF1.
Moreover, lower levels of miR-605-3p were found in chemoresistant OS patients, and downregulated
miR-605-3p increased the resistance of OS cells to therapeutic agents.

Conclusion:
Our data revealed that miR-605-3p serves as a tumor suppressor gene by regulating
RAF1 and increasing the chemosensitivity of OS cells, which provided the novel working
mechanism of miR-605-3p in OS. Engineering stable nanovesicles that could efficiently deliver
miR-605-3p with therapeutic activity into tumors could be a promising therapeutic approach for the
treatment of OS.
Knockdown of Anoikis-Associated Gene OCIAD2 Reduces Proliferation and Migration of Glioblastoma Cell Lines
Authors: Huang Danna , Chen Lu , Liu Yu , Wu Wuwei , Liu Yingying , Pan Yu 
Published: July 2024

Background:
Glioblastoma (GBM) severely disrupts the quality of life of patients.
Anoikis represents a significant mechanism in cancer invasion and metastasis. Our study focused
on the prognostic relationship between the anoikis-associated gene and GBM and its effect on
GBM cell progression.

Methods:
We downloaded 656 and 979 GBM sample data from TCGA and CGGA cohort datasets,
respectively. Fifteen anoikis-associated genes were obtained from the GeneCards database
and were subsequently clustered to identify differential genes associated with them. After
LAASO screening, the expression values of the 5 differential genes were the sum of LASSO regression
coefficients. Survival analysis and ROC curve analysis of anoikis scores were performed
using the TCGA training and CGGA validation sets. The prognostic factors were analyzed
using Cox regression analysis in GBM. Moreover, CCK-8, colony formation, wound healing,
and transwell assay were used to evaluate GBM cell proliferation and migration.

Results:
Significant differences were observed in the 5-year survival of GBM patients between
the two subgroups. Then, our analysis demonstrated that high OCIAD2, FTLP3, IGFBP2, and
H19 levels were associated with lower 5-year GBM survival rates, whereas high SFRP2 levels
were associated with higher survival rates. Univariate Cox analysis indicated that GBM risk was
linked to both anoikis score and grade, while multivariate Cox analysis indicated that GBM risk
was associated with both anoikis score and age. Additionally, OCIAD2 was highly expressed in
U251MG and T98G cells. Moreover, OCIAD2 silencing inhibited GBM cell proliferation and
migration.

Conclusion:
This study demonstrated the potential of the anoikis-associated gene OCIAD2 as a
prognostic biomarker for GBM. Furthermore, we validated in vitro that OCIAD2 promoted
GBM cell progression.
Synthesis, Characterization, Molecular Docking, and Molecular Dynamics Studies of Schiff Bases of 2-Phenoxy-1-Phenyl-Ethanone as Antibacterial Agents
Authors: Agrawal Akarsh , Sati Nitin , Kumar Arvind , Kumar Sushil 
Published: July 2024

Background:
The development of antimicrobial resistance and reduced discovery and commercialization of newer antibiotics point to the need for the discovery of novel anti-bacterial agents. Schiff bases are reported to possess a broad range of pharmacological activi-ties, which also include antibacterial activity. With this background, novel Schiff bases were synthesized.

Aim:
The present study aimed to synthesize novel Schiff bases of 2-phenoxy-1-phenyl-etha-none with aryl amines and evaluate their antibacterial activity.

Methods:
The desired Schiff bases were synthesized by condensing various aryl amines with 2-bromo-1-phenylethanone and characterized by physicochemical and spectral methods. The antibacterial activity of the synthesized Schiff bases was determined by the cup diffusion method. Molecular docking with Staphylococcus aureus tyrosyl-t-RNA synthetase (Protein Data Bank ID: 1JIJ) was performed using Autodock. Molecular dynamics simulation studies were performed using GROMACS. ADME analysis and drug-likeliness of the synthesized compounds were predicted using SwissADME. Protein-ligand interactions were studied using BIOVIA Discovery Studio Visualizer.

Results:
Out of the synthesized compounds, two compounds, sb_04 and sb_05, exhibited fair antibacterial activity. The compounds sb_04 and sb_05 exhibited better binding energy values than the original ligand of the target enzyme and comparable binding energy with ampicillin. The Autodock program estimated the binding free energy and inhibition constant values of compound sb_05 as -9.18 kcal/mol and 187.33 nM and for the compound sb_04 as -8.82 kcal/mol and 341.59 nM, respectively. The RMSD values of the compound sb_04 were stable throughout the duration of the simulation; however, the compound sb_05 showed lesser sta-bility in the docked complex. Interestingly, the compound sb_05 (-182.754 kJ/mol) exhibited stable interaction with a lower value of total interaction energy than sb_04 (-136.304 kJ/mol). The synthesized Schiff bases showed no violation of Lipinski’s rule of five and a bioavailabil-ity score in the range of 55% to 85%.

Conclusion:
The synthesized Schiff bases present a scaffold for the development of novel antibacterial agents, in particular the compounds sb_04 and sb_05.