bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expression and functional characterization of oryzacystatin II protein from Oryza sativa L. Indica rice and its potential role as a bioinsecticide against rice pests
Authors: Premachandran Krishnamanikumar , Alphonse Carlton Ranjith Wilson , Shyu Douglas J.H. , Vattikuti Jhansi Lakshmi , Sriniva Thanga Suja 
Published: September 2023

Abstract
Rice (Oryza sativa L.) is a crucial staple food crop globally, facing significant challenges from various pests that affect crop productivity and quality. Conventional pesticide usage has limitations, necessitating the development of sustainable pest management strategies. This study focuses on the expression, purification, and functional characterization of Oryzacystatin II (OC II), a protein derived from Oryza sativa L. Indica rice, intending to evaluate its potential as a bioinsecticide against rice pests. The OC II gene was cloned into the pET28a (+) vector and transformed into BL21 DE3 bacterial system for protein expression. The expressed protein was purified and confirmed its molecular weight (~ 12 kDa) and protein sequence through LC-MS/MS analysis, and western blotting. IC50 value of OC II and E-64 was calculated as 0.06 µM and 0.14 µM for inhibiting 0.02 ng/µL cathepsin B enzyme respectively. The inhibition was identified as a competitive inhibition with increasing Km values regarding increasing OC-II concentrations while the Vmax remains 254.5 ΔRFU/minute. The Ki value of OC-II was determined as 5x10^-8 M (0.05 µM). In vivo, studies were conducted to assess the efficacy of OC-II protein against major rice pests, BPH and WBPH. The protein exhibited efficient control of both pests at the nymph and adult stages, with lower probing marks observed on treated plants. The inhibition of cathepsin B enzyme activity further confirmed the bioactivity of OC-II protein. Molecular docking and molecular dynamics simulations provided insights into the interaction between OC-II protein and cathepsin enzymes reported in BPH and WBPH. The successful expression, purification, and characterization of OC-II, along with its promising bio-insecticidal activity, provide valuable insights into its potential application as an eco-friendly alternative to conventional pesticides. Further investigations can focus on optimizing production methods and exploring the specificity and efficacy of OC-II protein against other pests to enhance its practical application.
Identification of a Family with van der Hoeve's syndrome Harboring a Novel COL1A1 Mutation and Generation of Patient-Derived iPSC Lines and CRISPR/Cas9-Corrected Isogenic iPSCs
Authors: Li Sijun , Mei Lingyun , He Chufeng , Cai Xinzhang , Wu Hong , Feng Yong , Song Jian 
Published: September 2023

Abstract
Van der Hoeve's syndrome, also known as osteogenesis imperfecta (OI), is a genetic connective tissue disorder characterized by fragile, fracture-prone bone and hearing loss. The disease is caused by a gene mutation in one of the two type I collagen genes COL1A1 or COL1A2. In this study, we identified a novel frameshift mutation of the COL1A1 gene (c.1607delG) in a family with OI using whole-exome sequencing, bioinformatics analysis and Sanger sequencing. This mutation may lead to the deletion of a portion of exon 23 and the generation of a premature stop codon in the COL1A1 gene. To further investigate the impact of this mutation, we established two induced pluripotent stem cell (iPSC) lines from peripheral blood mononuclear cells (PBMC) of OI patients carrying a novel mutation in the COL1A1 gene. Using a CRISPR-based homology-directed repair strategy, we corrected the OI disease-causing COL1A1 novel mutations in iPSCs generated from an affected individual. Two OI patients' iPSCs and corrected OI-iPSC lines displayed a normal karyotype, morphology, pluripotency, and potential to differentiate into three germ layers. These findings demonstrate the potential of iPSCs derived from affected OI patients and corrected OI-iPSCs as a tool to study the pathophysiologic mechanisms of specific mutations. Overall, our results provide new insights into the genetic basis of Van der Hoeve's syndrome and highlight the potential of iPSC technology for disease modeling and therapeutic development.
The evaluation of the anti-cancer effects of Anoectochilus roxburghii on hematological cancers in vitro
Authors: Gunes Buket Altinok , Ozkan Tulin , GONULKIRMAZ Nurbanu , Sunguroglu Asuman 
Published: September 2023

Abstract
The cause of hematological cancers is the uncontrolled proliferation of hematopoietic and lymphoid tissues, and chemotherapy is used to treat cancer. However, adverse side effects of chemotherapy are common. Therefore, the use of plant extracts as a method for treating cancer is becoming increasingly popular. Anoectochilus roxburghii (wall.) Lindl. (A. roxburghii) is one of the original sources of the valuable medicinal plants known as the king medicine and the golden grass. This study investigated the potential anticancer effect of A. roxburghi (AR) on JURKAT, MM1S, THP1 and U266 cells. To test the cytotoxic and apoptotic effects of AR, hematological cancer cells were exposed to increasing doses of AR (0.1–0.5 µg/µl). The spectrophotometric MTT assay and the flow cytometric Annexin V staining were used to examine the viability and apoptosis of the cells, respectively. qRT-PCR was used to determine the expression levels of the apoptosis-related genes BAD, BAX, BIM and BCL-2. Our results show that AR treatment decreased cell viability and induced apoptosis in each cell line. Our RT-PCR data showed that AR significantly increased the expression levels of the pro-apoptotic BAX gene in JURKAT and MM1S cells, whereas it significantly increased the expression levels of both BAX and BIM in U266 cells. This is the first study to investigate how AR modulates apoptosis in hematological cancer cells. As a result, AR therapy may be a promising treatment modality for the treatment of cancer.
Co-encapsulation of berberine and piperine in coaxial electrosprayed chitosan nanoparticles for sustained release and improved berberine bioavailability
Authors: Cao-Luu Ngoc-Hanh , Luong-Huynh Vu-Thanh , Nguyen-Thi Bich-Thuyen , Nguyen Trong-Tuan , Dang Huynh-Giao , Mac Chi-Tam , Ha Hieu-Tien 
Published: September 2023

Abstract
Berberine (BBR) has many pharmacological activities including anti-inflammatory, antibacterial and against many diseases, especially cancer. However, berberine is a large molecular compound with rapid metabolism by enzymes in the human body and limited bioavailability. To improve, berberine needs to be coated and combined with other active ingredients. In this study, berberine is successfully encapsulated by coaxial electro-sprayed chitosan (CS) without cross-linked agents, and piperine (PPR) is also added via two different approaches to improve absorption and bioavailability. The obtained nanoparticles have a spherical shape with smooth surface and relatively wide particle size distribution observed by SEM. The uniform core/shell structure with clear boundary, non-agglomerated encapsulated spheres, and average diameter of 143.67 ± 56.16 nm (for BBR-PPR@CS), and 152.91 ± 48.50 nm (for BBR@PPR-CS) were analyzed by TEM images. The appearance of some weak peaks and slight shifting of major peaks in FTIR spectra of BBR-PPR@CS and BBR@PPR-CS samples and their high encapsulation efficiencies reflected their successful encapsulation. In drug release experiments, as expected, with the combination of PPR and CS in the outer shell (BBR@PPR-CS), the release of PPR was faster than that of BBR. The amount of drug in all samples was released more strongly at pH 5.0 than at pH 7.4, and the release time extended up to 36 hours. Therefore, coaxial electrosprayed chitosan nanoparticles is a promising functional material for the simultaneous encapsulation of BBR and PPR, as well as increasing bioavailability of BBR, contributing to the development of controlled drugs towards effective anticancer.
Comparative evaluation on the effect of different cavity disinfectant nano gels; Chlorohexidine, Propolis, Liquorice versus Diode Laser in terms of composite microleakage
Authors: Saleh Reham , mansy maryam el , Tadros Silvia , Abdelmonem Rehab , Menoufy Hala El , Shawky Naglaa 
Published: September 2023

Abstract
INTRODUCTION: The application of different cavity disinfectants is an essential step that eliminates bacteria after cavity preparation. However, some of these materials may affect restoration sealing ability.
AIM:This study aimed to assess the degree of microleakage at the tooth restoration interface after using different nano prepared cavity disinfectants versus Diode Laser.
MATERIALS AND METHODS: Three disinfectants were prepared on the nanoscale; Propolis, Liquorice and Chlorhexidine. A total of 40 extracted premolars with standard class V cavities were prepared on the facial surface. Teeth were divided into five groups according to the applied cavity disinfection protocol; no treatment, Chloehexidine, Propolis, Liquorice, and Diode Laser. After application of composite resin restoration, all teeth were subjected to thermocycling, afterwords the degree of microleakage was measured in mm. Data were analyzed by one-way analysis of variance (ANOVA) test, followed by Bonferroni’s and Tukey’s post hoc test.
RESULTS: The highest mean microlekage value was recorded in no treatment group, followed by Liquorice, Propolis. While Diode Laser group showed the lowest degree of microleakage.
CONCLUSION: Diode Laser cavity disinfectant has no negative effect on the restoration sealing ability. Nano prepared Propolis showed comparative results to nanoChloehexidine as both had low degree of microleakage.
Deep learning-based earthquake catalog reveals the seismogenic structures of the 2022 Mw6.9 Chihshang earthquake
Authors: Sun Wei-Fang , Pan Sheng-Yan , Huang Chun-Ming , Guan Zhuo-Kang , Yen I-Chin , Ho Chu-Wei , Chi Tsung-Chih , Ku Chin-Shang , Huang Bor-Shouh , Fu Ching-Chou , Kuo-Chen Hao 
Published: September 2023

Abstract
On September 18 2022, the Mw 6.9 Chihshang earthquake struck the south half of the valley and caused severe damage. A precisely and rapidly report for the distribution of aftershock sequence after a devastating earthquake provides a key information for deciphering the seismogenic structure in the source region. The utilization of deep-learning methodologies for earthquake event detection offers a significant acceleration in data analysis. In this study, we use SeisBlue, a deep-learning platform/package, to extract the whole earthquake sequence, from September to October 2022, including the Mw 6.5 Guanshan foreshock, the Mw 6.9 mainshock, over 14,000 aftershocks, and 866 foal mechanisms from two sets of broadband networks. The entire earthquake sequence was well recorded by a dense broadband array install in the adjacent area in Chihsang, the Chihshang seismic network. As a result, after applying hypoDD for these seismic events, the distribution of aftershock sequence clearly depicts not only the Central Range fault and the Longitudinal fault but also several local, shallow tectonic structures that have not been observed along the southern Longitudinal Valley.
Relationship of the roller burnishing process parameters with the surface and subsurface properties of Inconel 718.
Authors: De Godoi Eduardo Luiz , Casarin Samuel José , Sanchez Luiz Eduardo de Angelo , Gonçalves Gilberto de Magalhães Bento 
Published: September 2023

Abstract

This study aims to evaluate how deep the roller burnishing (RB) operating variables (temperature, number of passes and load applied by the bearing) affect the surface properties of an Inconel 718 part, in particular the surface roughness and nanohardness, based on nanoindentation results and image analysis techniques by confocal microscopy. It was evaluated how intensity these same variables of roller burnishing operations cause the phenomenon of strain-softening. Through the results obtained, it can be noted that, with up to two passes of RB, the surface roughness improves significantly. By increasing the number of RB passes, the phenomenon of strain-softening of deformation by stress of the Inconel 718´s sample was verified. For all RB operations (at room temperature and 310oC) the nanohardness levels (HV) were higher than those of the only turned sample, showing that, regardless of the test temperature the nanohardness of the part that underwent the RB operation increased. Metallographic analysis of the samples that underwent RB was performed and the abundant presence of the δ phase was observed. A gap was filled in research involving both the roller burnishing technique and the resulted properties of the Inconel 718.
Berry-Esseen bound and Cramér-type moderate deviations of drift estimation in SPDEs driven by additive noise
Authors: Jiang Hui , Zhou Jingjing 
Published: September 2023

Abstract
In this paper, we study the asymptotic properties for the maximum likelihood estimator (MLE) of the drift estimationin a stochastic fractional heat equation driven by additive noise. Via the change of measure method and asymptotic analysis technique, we establish the exponential nonuniform Berry-Esseen bound and (self-normalized) Cram\'er-type moderate deviation for the MLE in three asymptotic regimes: large timeasymptotics, increasing number of Fourier modes, large time asymptotics and increasing number of Fourier modes.
MSC Classification: 60F10 , 60H15 , 62F12 , 62M05
Multitargeted inhibitory effect of Mitoxantrone 2HCl on cervical cancer cell cycle regulatory proteins: A multitargeted docking-based MM\GBSA and MD Simulation Study
Authors: Alshehri Mohammed Ali , Asiri Saeed Ahmed , Alzahrani Abdulrahman , Alazragi Reem S. , Alqahtani Leena S. , Alqosaibi Amany I. , Alnamshan Mashael M. , Alam Qamre , Rafeeq Misbahuddin M 
Published: September 2023

Abstract
Cervical cancer remains a significant global health concern that starts in the cervix, the lower part of the uterus that connects to the vagina and is caused by the human papillomavirus (HPV), necessitating the development of effective multitargeted effective and resistance-proof therapies. In early-stage cervical cancer may not show any symptoms, however, as the cancer progresses, some people may experience- abnormal vaginal bleeding, watery or bloody vaginal discharge, pain in the pelvis or lower back, pain during sex, and frequent and painful urination. In this study, we screened the complete FDA-approved drug library using a multitargeted inhibitory approach against four cervical cancer proteins, namely mitotic arrest deficient-2, DNA polymerase epsilon B-subunit, benzimidazole-related-1, and threonine-protein kinase-1 which crucially plays its role for the in its development process. We employed the HTVS, SP and XP algorithms for efficient filtering and screening that helped to identify Mitoxantrone 2HCl against all of them with docking and MM\GBSA scores ranging from -11.63 to -7.802 Kcal/mol and -74.38 to -47.73 Kcal/mol, respectively. We also evaluated the interaction patterns of each complex and the pharmacokinetics properties that helped gain insight into interactions. Subsequently, we performed multiscale MD simulations for 100ns to understand the dynamic behaviour and stability of the Mitoxantrone 2HCl -protein complexes that revealed the formation of stable drug-protein complexes and provided insights into the molecular interactions that contribute to Mitoxantrone’s inhibitory effects on these proteins and can be a better drug for cervical cancer. However, experimental studies of these findings could pave the way for therapies to combat cervical cancer effectively.
Tracing the Ancestral Footprints: Unraveling Thailand's Mitochondrial Heritage through Comprehensive Analysis of Expanded mtDNA Data
Authors: Jaisamut Kitipong , Pitiwararom Rachtipan , Sukawutthiya Poonyapat , Sathirapatya Tikumphorn , Noh Hasnee , Worrapitirungsi Wikanda , Vongpaisarnsin Kornkiat 
Published: September 2023

Abstract
The evolutionary dynamics of mitochondrial DNA (mtDNA) within the Thai population were comprehensively explored with a specific focus on the influence of South Asian admixture. A total of 166 samples were collected through randomized sampling, ensuring a diverse representation. Our findings unveil substantial genetic and haplogroup diversity within the Thai population. We have identified 164 haplotypes categorized into 97 haplogroups, with a notable inclusion of 20 novel haplogroups. The distribution of haplogroups exhibited variations across different populations and countries. The central Thai population displayed a high diversity of haplogroups from both the M and N clades. Maternal lineage affinities were discerned between several Mainland Southeast Asia (MSEA) and South Asian populations, implying ancestral genetic connections and a substantial influence of South Asian women in establishing these relationships. f4-statistics indicates the presence of a Tibeto-Burman genetic component within the Mon population from Thailand. New findings demonstrate two phases of population expansion occurring 22,000–26,000 and 2,500-3,800 years ago, coinciding with the Last Glacial Maximum, and Neolithic demographic transition, respectively. This research significantly enhances our understanding of the genetic history of Thailand and MSEA, emphasizing the influence of South Asian admixture. Moreover, it underscores the critical role of prior information, such as mutation rates, within the Bayesian framework for accurate estimation of coalescence times and inferring demographic history.
Large terahertz birefringence in nanocomposite films made from magnetorheological fluid
Authors: Chen Yanqing , Zhu Guofeng , Huang Feng , Chen Ying , Wang Jiaxun , Wang Xiangfeng 
Published: September 2023

Abstract
In this work, magnetic nanocomposite films were prepared using magnetorheological fluids and were characterized by time-domain terahertz spectroscopy. Applying magnetic field during the curing process of magnetorheological fluids makes Fe nanoparticles align into a chain-like structure. Permanent anisotropy is solidified in the films, resulting in a birefringence coefficient as high as 0.37 in a frequency range from 0.4 to 2.0 THz. The polarization state of terahertz wave can be converted by rotating the film at room temperature without external magnetic field. When the rotation angle is at 50°- 60°, the ellipticity is greater than 0.8 in the frequency range of 1.19–1.6 THz, indicating that the film can be used as a quarter waveplate.
Effect of Lupinus albus conglutin gamma protein on experimentally induced diabetes in rats.
Authors: Bhieldeen Marwa , Moustafa Yasser M. , Tawfik Afaf A. , Elsayed Sami M. , El-shaarawy Fatma F. 
Published: September 2023

Abstract
Early insulin resistance and a progressive loss of pancreatic β cell function combine to cause type 2 diabetes (T2D), which leads to insufficient insulin production followed by hyperglycemia. Purified from Lupinus albus seed, conglutin gamma (Cγ) is a protein that lowers blood sugar. The primary function of adipocytokines, hormones released by adipose tissue, is to alert important organs to maintain metabolic balance. This study aimed to identify and compare the role of Cγ and glimepiride in controlling hyperglycemia, insulin secretion, insulin resistance and hyperlipidemia in high-fat diet and low- dose streptozotocin (STZ) induced diabetes in experimental rats. Male Spargue Dawely rat groups were divided into seven groups; normal, Cγ control, T2D control, and four T2D groups which received Cγ (30, 60, and 120 mg/Kg) and Glimepiride (0.1 mg/kg) treatments. Administration of Cγ successfully eliminated hyperglycemia and increased insulin secretion and sensitivity. Additionally, when compared to (STZ+HFD) control rats, treatment with Cγ improved the expression of leptin, adiponectin, and their blood concentrations, as well as the activity of the enzyme chitotriosidase. It also significantly decreased the expression of apelin, NAMPT and RBP4. The present data suggests that Cγ has an effective role in controlling hyperglycemia induced by diabetes through amelioration of leptin, adiponectin, lipid profile and metabolic syndrome.
Leveraging Multi-Task Transfer Learning for Enhanced Breast Mass Classification in Digital Mammography
Authors: Wu Shuyu , Zhou Lu , Zhang Guoqian , Wang Lingjing , Liao Yuliang , Wang Wei , Zhou Cheng , Zhang Shuxu , Mei Yingjie 
Published: September 2023

Abstract
Purpose
Accurate breast mass classification is crucial for early breast cancer diagnosis. Deep learning shows promise in computer-aided diagnosis but faces challenges due to limited annotated data and lesion complexity. We propose a novel multi-task transfer learning framework to improve mass classification performance and provide a well-performed framework for medical image analysis.
Methods
The proposed framework comprises a transfer learning backbone and multi-task-specific branches. Pretraining weights from natural image datasets are leveraged to finetune the backbone network, enhancing the ability to extract breast mass characteristics. The classification branches include the primary task for breast mass classification and auxiliary tasks for BI-RADS evaluation, guiding the model to focus on relevant diagnostic features.
Result
Three models were compared using ResNet50/InceptionV3 as backbones. The Multi-Task Transfer Learning Framework (MTL + TL) achieved the highest AUC values of 0.852 ± 0.019 / 0.824 ± 0.021, outperforming other models in accuracy (0.7654 ± 0.0218 / 0.7667 ± 0.0224), precision (0.6842 ± 0.0379 / 0.7179 ± 0.0379), and F1-score (0.6842 ± 0.0379 / 0.7179 ± 0.0379). Grad-CAM heatmaps confirmed its effectiveness and ability to capture breast mass characteristics.
Conclusion
Our proposed framework significantly improved breast mass classification, addressing limited annotated data and providing an effective solution to address the limited availability of annotated data. The proposed framework enhanced feature recognition and overall performance by simulating a clinician's observation and decision-making of imaging features through the auxiliary task. This approach can be extended to other breast lesion classifications and provide valuable guidance for medical imaging analysis.
Frequency chimera state induced by time delays in neural networks
Authors: Huang ShouFang , Li ZhiHang , Cai ZhengGang , Yu ChengYu , Zhang JiQian , Wang MaoSheng , Xu Fei 
Published: September 2023

Abstract
The delay of information transmission is an inherent factor of the nervous systems, which has great influences on their collective dynamic behaviors. In this paper, we constructed a ring neural network using FHN neuron model as the network node and memristive synapses as the connection mode. Our primary focus was on investigating the effects of time delay and coupling strength on the firing frequency of neurons. Simulation results revealed that the frequency chimera state could be induced in the neural network with appropriate time delay, which is a new type of chimera state characterized by firing frequency rather than membrane potential. By adjusting the time delay properly, the neural network can also display multi-cluster frequency chimera states that coexisted with various incoherent regions and coherent regions. Meanwhile, we exhibit that initial value and coupling strength could have great influences on the effects of time delay on inducing frequency chimera state of the nervous systems.