bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pinostrobin mitigates neurodegeneration through an up-regulation of antioxidants and GDNF in a rat model of Parkinson’s disease
Authors: Kongsui Ratchaniporn , Promsrisuk Tichanon , Klimaschewski Lars , Sriraksa Napatr , Jittiwat Jinatta , Thongrong Sitthisak 
Published: July 2023

Background: One of the most common neurodegenerative diseases is Parkinson’s disease (PD); PD is characterized by a reduction of neurons containing dopamine in the substantia nigra (SN), which leads to a lack of dopamine (DA) in nigrostriatal pathways, resulting in motor function disorders. Oxidative stress is considered as one of the etiologies involved in dopaminergic neuronal loss. Thus, we aimed to investigate the neuroprotective effects of pinostrobin (PB), a bioflavonoid extracted from Boesenbergia rotunda with antioxidative activity in PD. Methods: Rats were treated with 40 mg/kg of PB for seven consecutive days before and after 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced PD. After completing the experiment, the brains including SN and striatum were used for histological studies and biochemical assays. Results: PB treatment demonstrated a reduction of free radicals in the SN as indicated by significantly decreased MDA levels, whereas the antioxidative enzymes (SOD and GSH) were significantly increased. Furthermore, PB treatment significantly increased glial cell line-derived neurotrophic factor (GDNF) immunolabelling which has neurotrophic and neuroprotective effects on the survival of dopaminergic neurons. Furthermore, PB treatment was shown to protect CA1 and CA3 neurons in the hippocampus and dopaminergic neurons in the SN. DA levels in the SN were increased after PB treatment, leading to the improvement of motor function of PD rats. Conclusions: These results imply that PB prevents MPTP-induced neurotoxicity via its antioxidant activities and increases GDNF levels, which may contribute to the therapeutic strategy for PD.
Misunderstanding in intercultural electronic written communication in Chinese business field
Authors: Guo Xiaoxi , Stapa Mahani Binti 
Published: July 2023

Abstract
The prevalence of intercultural communication in the business domain has led to an increase in the occurrence of misunderstandings. The advancement of telecommunication technology and the implementation of epidemic prevention policies in various countries have resulted in electronic written communication becoming the most widely utilized method for business interactions, thereby giving rise to a significant number of misunderstandings. Hence, it is imperative to investigate the specific reasons for misunderstandings within a particular country. Given China’s prominent global position, it is crucial to conduct a thorough examination of Chinese companies and workers. Thus, this article aims to identify the sources and strategies employed to address misunderstandings in intercultural electronic written communication in China by analyzing naturally occurring electronic written communication documents and conducting interviews with Chinese businesspersons. The findings reveal that language-related and culture-related factors are the primary causes of misunderstandings. Chinese businesspersons have employed strategies such as seeking advice from familiar Chinese coworkers, engaging in further communication with the interlocutors, and modifying their own expression habits to resolve and prevent misunderstandings. Researching the distinctive forms and causes of misunderstandings in electronic written communication is essential for individuals engaged in international business to identify solutions and enhance communication efficiency by minimizing misunderstandings.
A dual‐function SNF2 protein drives chromatid resolution and nascent transcript removal in mitosis
Authors: Carmo Catarina , Coelho João , Silva Rui D , Tavares Alexandra , Boavida Ana , Gaetani Paola , Guilgur Leonardo G , Martinho Rui Gonçalo , Oliveira Raquel A 
Published: July 2023

AbstractMitotic chromatin is largely assumed incompatible with transcription due to changes in the transcription machinery and chromosome architecture. However, the mechanisms of mitotic transcriptional inactivation and their interplay with chromosome assembly remain largely unknown. By monitoring ongoing transcription in Drosophila early embryos, we reveal that eviction of nascent mRNAs from mitotic chromatin occurs after substantial chromosome compaction and is not promoted by condensin I. Instead, we show that the timely removal of transcripts from mitotic chromatin is driven by the SNF2 helicase‐like protein Lodestar (Lds), identified here as a modulator of sister chromatid cohesion defects. In addition to the eviction of nascent transcripts, we uncover that Lds cooperates with Topoisomerase 2 to ensure efficient sister chromatid resolution and mitotic fidelity. We conclude that the removal of nascent transcripts upon mitotic entry is not a passive consequence of cell cycle progression and/or chromosome compaction but occurs via dedicated mechanisms with functional parallelisms to sister chromatid resolution.
Poligami Dalam Perspektif Hadis
Authors: Layyinah Lisanatul 
Published: July 2023

Polygamy is a problem that has not been discussed until now. With people’s understanding and knowledge, this resulth in a narrow understanding of several arguments (The Qur’an and Hadith) regarding polygamy. At Least, there are two views regarding polygamy, namely; first, allowing polygamy under certain conditions; secondly, its prohibits polygamy, because of a fatal disadvantag. This study aims to discuss the hadith about polygamy it is prohibition. This reseach method is qualitative, using the qualitative analysis approach , namelu the author explains from the aspect of polygamy in general in islam and the examines specifically polygamy in thr view of polygamous scholars, polygamy in the perspective of hadith and analysis hadith with takhrijul hadith methoud. The resulth of this reseach include the views general opinion on polygamy, the arguments of the al-Qur’an and Hadith on polygamy, Takhrij Hadith , and the views of the ulama’ on the verses of the al-Qur’an and hadith on polygamy. The conclusion of this study is that vplygamy is something that was present before islam was present. And since Islam came into existence, polygamy has begun to be regulated and a very noble and humane way from the point of view of different scholars’ as well as state laws. And the Takhrijul Hadith method is very importhant in reviewing the various hadith arguments about polygamy in order to strengthen the oblique issue of polygamy’s basic priciples. The prohibition of polygamy is expressly intented to maintain the status of women.
Determination of Individual Magnetic Particle Sources in Sediments from the Wae Tomu River Estuary, Ambon City, Indonesia: Scanning Electron Microscope (SEM) and Energy-Dispersive X-Ray Spectroscope (EDX) Analysis
Authors: Huliselan Estevanus Kristian , Talakua Melvie , Tehubijuluw Hellna , Wattimury Latuhorte 
Published: July 2023

Abstract
This paper describes the determination of individual magnetic particle sources found in the sediment of the Wae Tomu river estuary in Ambon City, Indonesia. The sample used was a magnetic particle extracted from the sediment. As comparative data, magnetic particles were also extracted from the soil in the river upstream. These particles were characterized using a scanning electron microscope (SEM), energy-dispersive X-ray spectroscope (EDX), and X-ray diffraction (XRD). SEM analysis results showed that the magnetic particles found in the sediment have a spherule-shaped and framboid-like surface morphology measuring ≈43–97 mm, while magnetic particles found in the soil were octahedral and angular-shaped with a maximum length of ≈40–60 mm. The majority of the elemental composition of the magnetic particles from the sediment were Fe and O, followed by minor elements of Zn, Cu, S, Al, Si, and Cr. In contrast, the majority of elements from the soil were Fe and O, followed by minor elements of Ti, Al, and Mg. The X-ray Diffraction (XRD) analysis results show that the magnetic particles of the sediment are chromite and magnesite, while the soil is magnetite. Based on the morphological characteristics and elemental composition, the magnetic particles from the sediment originated from anthropogenic sources, i.e., motor vehicle emissions. In addition, SEM and EDX can be used to distinguish individual magnetic particles from anthropogenic and natural sources.
Electrochemical DNA-Based Sensor for the Detection of Klebsiella pneumoniae: A Prominent Causal Agent of Urinary Tract Infections
Authors: Florien Nkurunziza , . Usha , Sharma Surbhi , Kala Deepak , Gupta Shagun , Kaushal Ankur 
Published: July 2023

Abstract
Objective The aim of the study is to develop an electrochemical DNA based sensor for detection of Klebsiella pneumonia a prominent causal agent of UTI by immobilizing a 5’ NH2 labelled ssDNA probe specific to fimH gene of Klebsiella pneumonia on GQDs modified screen printed electrode.
Results Present study involves the synthesis of graphene quantum dots (GQDs) based nanoparticles using hydrothermal method, and characterized using Fourier Transforming Infra-Red spectroscopy FTIR, Particle size analyzer and Fluorescence spectroscopy. The synthesized nanoparticles were dropping cast onto the screen-printed carbon electrode (SPCE) surface and used in electrochemical biosensor for detecting Klebsiella pneumonia, which is among the world’s leading pathogen causing urinary tract infections. In this study, specific NH2 labeled probe was immobilized onto GQDs fabricated electrode surface and the electrochemical response was recorded by cyclic voltammetry (CV), differential pulse voltammetry (DPV), electrochemical impedance spectroscopy (EIS) using methylene blue as a redox indicator. Electrode surface characterizations were performed using FTIR spectroscopy. This nanofabricated chip was found to be very specific, user friendly, less time consuming and affordable to everyone. The developed sensor revealed a fabulous sensitivity of 0.0002 mA/mm2/ng with a limit of detection (LOD) of 3953 ng/µL.
Conclusion The GQDs modified paper electrode based genosensor for detection of Klebsiella pneumonia showed an outstanding sensitivity as well as limit od detection denoted by revealing the smallest concentration of this pathogen from patient sample.
Adaptive Sliding Mode Compensation Control for the Tendon Sheath Based on Inverse Model
Authors: Yang Mingxing , Xia Yulei , Zhang Xing , Wang Liwei 
Published: July 2023

Abstract
Tendon sheath transmission system (TSTS) has been widely adopted in many cases due to its characteristics of simple structure, flexible transmission path, and applicability for long-distance power transmission. However, the characteristics of displacement gap and hysteresis inside the tendon sheath seriously hinder its transmission accuracy. In this paper, the static and dynamic models of TSTS were established and experimentally verified. Then, the sliding mode compensation control (SMCC) based on the inverse model has been proposed. In SMCC, with the displacement of the actuation side as a feedback signal, compensation control was realized and its stability and accuracy was experimentally verified. In addition, the perturbation of system parameters might decrease the optimal working performance of the sliding mode controller. Therefore, an adaptive sliding mode compensation control (ASMCC) based on an inverse model was proposed. The adaptive control algorithm was used to estimate the dynamic parameters of the system online and combined with the sliding mode controller to achieve the adaptive compensation control. Finally, compensation control experiments were separately conducted with/without interference and the performance of PID, SMC, and ASMC algorithms was experimentally compared. Under two experimental conditions with/without interference, compared to PID compensation control (PIDCC), SMC algorithm respectively decreased the system output force (MAE value) by 26.57% and 56.38%. Compared with SMCC, ASMCC respectively reduced the MAE value of the system output force by 22.34% and 11.14%. Comparative experiments confirmed the feasibility and performance of ASMCC in tendon sheath transmission.
Based on YOLOv5 lightweight submarine target detection algorithm
Authors: Likun MEI , Zhili CHEN 
Published: July 2023

Abstract
Submarine recognition is of paramount importance for maritime security and military defense. To address the limitations of traditional submarine recognition algorithms, which are restricted by limited feature representation capability and poor robustness, as well as the deployment bottleneck of deep learning methods on embedded and mobile platforms, an improved YOLOv5-based lightweight submarine automatic recognition detection algorithm is proposed. By employing the Feature Pyramid based on MobileNetV3 and the C3_DS module, the model's computation and parameter complexity are reduced while ensuring high precision in submarine recognition. The problem of missed detections is addressed through the combination with the adaptive neck of the SA-net strategy, thereby enhancing the accuracy of submarine target detection and recognition. Testing the improved model on a submarine dataset demonstrates significant improvements in Precision, Recall, and mAP0.5, with respective increases of 8.54%, 6.02%, and 3.36%. Moreover, a reduction of 34.1% in parameter quantity and 67.9% in computational complexity is achieved, showcasing notable lightweight effects.
A parainfluenza virus 5 (PIV5)-vectored intranasal vaccine for Lyme disease provides long-lasting protection against tick transmitted Borrelia burgdorferi in mice
Authors: Gomes-Solecki Maria , Gingerich Maria Cristina , Nair Nisha , Azevedo Jose , Samanta Kamalika , Kundu Suman , He Biao 
Published: July 2023

Abstract
Lyme disease (LD) is the most prevalent vector borne disease in North America and Europe and its geographic range continues to expand. Strategies for disease control are necessary to effectively reduce incidence of LD including development of safe vaccines for human use. Parainfluenza virus 5 (PIV5) vector has an excellent safety record in animals and PIV5- vectored COVID-19 and RSV vaccines are currently under clinical development. We constructed PIV5-vectored LD vaccine candidates expressing OspA from B. burgdorferi sensu stricto (OspAB31) and a chimeric protein containing sequences from B. burgdorferi and B. afzelii (OspABPBPk). Immunogenicity and vaccine efficacy were analyzed in C3H-HeN mice after prime-boost intranasal (IN) vaccination with PIV5-OspAB31 and PIV5-OspABPBPk, subcutaneous (SC) vaccination with rOspAB31+Alum as well as the respective controls. Mice vaccinated with either PIV5-AB31 or PIV5-ABPBPk intranasally had high endpoint titers of serum antibody against OspA antigen beyond 1 year post vaccination, similar to levels detected in mice vaccinated SC with rOspAB31. Flowcytometric analysis of spleen cells at 9-months post-immunization demonstrated that immunization with the intranasal PIV5 vaccine candidates led to an overall increase in the number of memory B cells, cytotoxic T and cytotoxic effector T cells compared to SC groups. Borreliacidal activity measured by neutralization assay was maintained up to 18 months post-immunization, with the response greater in intranasal PIV5-delivered OspA vaccines, than that induced by SC rOspAB31. Challenge with infected ticks (10-19 strains of B. burgdorferi) performed at 4-, 9- or 15-months post-immunization showed increased breakthrough infections in mice vaccinated with SC rOspAB31 compared to IN PIV5-AB31 or IN PIV5-ABPBPk at 9- and 15-months, as determined by qPCR of B. burgdorferi in tissues, culture of B. burgdorferi from tissues, and antibodies against B. burgdorferi protein VIsE. These data demonstrate that intranasal PIV5-based immunization is superior to parenteral immunization with the same recombinant protein and provides long-lasting protection (> 1 year) against Lyme disease.
An Effective Method for Small Objects Detection based on MDFFAM and LKSPP
Authors: Xu Zhoutian , Xu Yadong , Wang Manyi 
Published: July 2023

Abstract

Object detection is one of the research hotspots in the field of computer vision. However, most object detectors are not friendly to identify small targets. Therefore, the paper proposes the MDFFAM (Multi-Directional Feature Fusion Attention Mechanism) and the LKSPP (Large Kernel Spatial Pyramid Pooling) module to help the detector effectively identify subtle faults on the surface of mechanical equipment. LKSPP aims to expand the receptive field to capture high level semantic features through large kernels, and the MDFFAM allows the network to efficiently use spatial location information and adaptively recognize detection priorities. In the detection task, the MDFFAM can capture feature information along the three spatial directions of width, height and channel, making full use of the location information while establishing stable long-range dependencies. Moreover, LKSPP has a larger receptive field and less computational burden than the SPPCSPC used by YOLOv7. Finally, the experiments demonstrate that the proposed module can effectively improve the detection accuracy of the object detector for small targets, even surpassing the state-of-the-art object detector YOLOv7, and MDFFAM can almost ignore the computational overhead.
The Measurement of Subjective Household Poverty: Concepts and Application
Authors: Łuczak Aleksandra , Kalinowski Sławomir 
Published: July 2023

Abstract
Poverty is a multi-dimensional phenomenon that cannot be directly measured correctly by a single indicator. Research on poverty uses objective and subjective indicators. Objective measures do not represent the true nature of poverty, because they are mainly based on income and expenses. Hence, our research focuses on subjective poverty, which shows the diversity of respondents’ perceptions of poverty. The aim is to present and compare methodological approaches to the construction of a synthetic measure of subjective household poverty. The research took account of the aggregation of variables describing the past, present, and future. The approaches use the modified classical and fuzzy Hellwig’s and TOPSIS methods, and were used to assess the level of subjective household poverty in Poland. The study was based on primary data from 2021. The use of fuzzy approaches to the assessment of subjective poverty allows for a more precise assessment of its level than in classical approaches.
Detecting malicious attacks using Cyber-security models using Deep learning approach
Authors: Alamyar Akhtar Mohammad , Li weihao , Wang zhanquan 
Published: July 2023

Abstract
In recent years, invaders have been increasing rapidly in the internet world. Gen- erally, to detect anonymous attackers, the algorithm needs more features. Many algorithms fail in the efficiency of detecting malicious activity. The deep learning approach has been used in cyber security use cases, namely, intrusion detection, malware analysis, traffic analysis, spam and phishing detection etc. In this work, to leverage the application of deep learning architectures towards cyber secu- rity, we consider malicious activity detection using Bi-LSTM. In the experiments of intrusion detection using the dataset UGR’16, the deep learning approach performed better when compared to the combination of Bi-LSTM with an autoen- coder neural network model. Moreover, the approach without autoencoder, both precision and recall are 99 Percentage for just the Bi-LSTM model in detecting malicious activities in cyber security. Moreover by using Autoencoder as feature enginerring does not yeild any higher performance when modelling deep learn- ing algorithm using Bi-directional LSTM. However, when using with Bi-LSTM without Autoencoder, the performace are more efficient and better.
Molecular structure, HOMO–LUMO, and First Order Hyperpolarizability studies of some quinoxaline 1,4-dioxide derivatives: hybrid computational (HF and DFT) analysis
Authors: Rezvan Vahideh Hadigheh 
Published: July 2023

Abstract
The theoretical investigation results of quinoxaline-1, 4-dioxide (I), and some of its derivatives (II-VII) were reported in this paper. Quantum chemical calculations were performed on 7 molecules at ab initio/RHF/6-311 + + G (d, p) and DFT/B3LYP/6-311 + + G (d, p) levels of theory. Calculated optimized molecular structures, dipole moments, polarizabilities, and first order hyperpolarizabilities for all molecules were dedicated. Also, the frontier molecular orbitals (FMOs), EHOMO (the highest occupied molecular orbital energy), ELUMO (the lowest unoccupied molecular orbital energy), HOMO-LUMO energy gap (ΔE), and quantum chemical parameters such as chemical potential (Pi), absolute electronegativity (χ), chemical hardness (η), global softness (S), and global electrophilicity (ω) are investigated. 1HNMR spectrum for quinoxaline-1, 4-dioxide (I) was calculated and compared with experimental data. The results of two theoretical methods have been analyzed using the Excel program in the linear regression method.
Association of polymorphisms in FBN1, MYH11, and TGF-β signaling-related genes with susceptibility of sporadic thoracic aortic aneurysm and dissection in the Zhejiang Han population
Authors: Yu Shasha , Huang Lujie , Ren Jianfei , Zhang Xiaoying 
Published: July 2023

Abstract
The genetic basis of sporadic thoracic aortic aneurysm and dissection (sTAAD) has not been fully explored. Thus, we investigated the association between polymorphisms in myosin heavy chain 11 (MYH11), fibrillin-1 (FBN1), and transforming growth factor β (TGF-β) signaling-related genes with sTAAD susceptibility. Herein, 122 sTAAD patients and 98 healthy individuals were recruited, and 10 single nucleotide polymorphisms (SNPs) were selected and analyzed (FBN1 rs10519177, rs1036477, rs2118181, MYH11 rs115364997, rs117593370, TGFβ1 rs1800469, TGFβ2 rs900, TGFβR2 rs764522, rs1036095, and rs6785385). Moreover, multiple logistic regression analysis was used to evaluate gene-environment interactions. TGFβR2 rs1036095, FBN1 rs1036477, and FBN1 rs2118181 were identified as factors of increased risk of sTAAD. TGFβR2 rs1036095 dominant model CC+CG genotype (P=0.004), FBN1 rs1036477 recessive model AA genotype(P=0.009), and FBN1 rs2118181 dominant model CC+CT genotype(P=0.009) were correlated to an increased death rate in sTAAD patients. Furthermore, TGFβR2 rs6785385, FBN1 rs10519177, FBN1 rs1036477, and FBN1 rs2118181 were discovered to be bound up with an increased risk of sTAAD in men, whereas TGFβR2 rs1036095 was correlated to an increased risk of death from women sTAAD. Gene-environment interactions indicated TGFβR2rs1036095 dominant model (CC+CG)/GG to be a higher risk factor for sTAAD (OR=3.255,95%CI 1.324–8.000, P=0.01). Moreover, variations of TGFβR2 rs1036095, FBN1rs1036477, and FBN1 rs2118181 were identified to be associated with sTAAD in the Zhejiang Han population. Furthermore, TGFβR2 rs1036095 might be a prognostic indicator of mortality in sTAAD in women. Gene-environment interactions were associated with the risk of sTAAD.