bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of lactic acid bacteria on the structure and potential function of the microbial community of Nongxiangxing Daqu
Authors: Yang lei , Chen Jie , Li Zijian , gong Lijuan , Huang Dan , Luo Huibo 
Published: March 2023

Abstract
OBJECTIVES: The microbial community structure of the saccharifying starter, Nongxiangxing Daqu（Daqu）, is a crucial factor that determines the quality of Baijiu. lactic acid bacteria (LAB), the dominant microorganisms in the Daqu. The present study investigated the effects of LAB on the microbial community structure and its contribution to microbial community function during the fermentation of Daqu.
RESULTS: Box-line variance analysis shows that LAB showed a significant stage-specific succession pattern during Daqu fermentation. The LEfSe analysis and the random forest learning algorithm identified LAB as vital differential microorganisms during Daqu fermentation. The correlation co-occurrence network constructed based on Spearman's rank correlation coefficients showed aggregation of LAB and Daqumicroorganisms, indicating LAB’s significant position in influencing the microbial community structure. LAB showed negative correlations with Bacillus, Saccharopolyspora, and Thermoactinomycesbut positive correlations with Issatchenkia, Candida, Acetobacter, and Gluconobacter. The predicted genes of LAB enriched 20 functional pathways during Daqu fermentation, including Biosynthesis of amino acids, Alanine, aspartate and glutamate metabolism, Valine, leucine and isoleucine biosynthesis and Starch and sucrose metabolism, which suggested that LAB had the functions of polysaccharide metabolism and amino acid biosynthesis.
CONCLUSION: Thus, the study indicates that LAB is important in determining the composition and function of Daqu microorganisms，and also suggests that LAB are closely related to the production of nitrogenous flavor substances in Daqu. The study provides a foundation for further exploring the function of LAB and the regulation of Daqu quality.
Optimization of Manets Using Aomdv With Novel Aging Multi Population Strategy for Effectual Energy Utilization
Authors: R.S. Janani 
Published: March 2023

Abstract
In today’s world wireless technologies plays vital role for many real world applications particularly the Mobile Ad-hoc Network (MANET) with bidirectional transmission capacity through numerous intermediary nodes is having dynamic scope in near future. Whereas, packet collision is regarded as the most important restrictions in MANETs since nodes move randomly through the network at unpredictable speeds, increasing the likelihood of collision and degrading throughput, routing overhead, and end-to-end delay. Additionally, a topological shift and link instability caused by frequent node mobility lower the rate of data delivery. The probability of traffic crowding increases at the intermediary nodes due to limited possible routes to the destination network, which affects the successful delivery of packets, especially with real-world applications on MANETs. In the proposed work, a novel strategy of age to evaluate each particle's local area search capacity is anticipated with Aging Multi Population Optimization (AMPO). The particles are divided into distinct age groups according to their ages so that population variety can be maintained when searching. Particles within every group of age can only choose those in younger or from their own clusters / groups as preferred neighbors. To choose the optimum route to the destination, we optimise the many pathways that the Adhoc On-demand Multipath Distance Vector (AOMDV) mechanism returned. The most ideal route is thought to be the one with the highest value for fitness. In order to speed up convergence, we also create a parameter setting mechanism based on age groups, where particles in various age groups have distinct parameters. Finally, we evaluate our suggested approach in comparison to AOMDV-TA and EHO-AOMDV. For the performance assessment of the suggested model, network overhead, throughput, delay, energy usage, and delivery of packets range as vital aspects.
Field &amp; Road-CENet: Semantic Segmentation for Agricultural Machinery Trajectory Segmentation
Authors: Huang Jiahua , Wan Chuanfeng , Wu Caicong 
Published: March 2023

Abstract

Agricultural machinery management is the key to agricultural production, andtrajectory segmentation lays an important foundation for machinerymanagement. For big data platform of agricultural machinery, it is hoped tosimultaneously improve both of segmentation accuracy and segmentationefficiency to satisfy the processing requirements. However, traditional machinelearning algorithms need to manually adjust parameters and do not integratemultiple features when dealing with trajectory segmentation. This paper aims atthe above problems by modifying the CE-Net model to improve the segmentationaccuracy and ensure the processing efficiency. A creative method for constructingtrajectory image from discrete trajectory data was developed in this paper. Thenew trajectory image showed both the temporal and the spatial characteristics ofthe operation. Then, a semantic segmentation algorithm, Field & Road- CENet,was put forward. The proposed algorithm modified the network CE-Net by addingtwo modules, Standard Convolution Residual Block and Global MaxpoolingAttention Mechanism, to fuse original feature information and enhance thesemantic expression of low-level feature maps. Two cotton sowing datasets werebuilt, including the meter level and the centimeter level. Experiment results showthat Field & Road-CENet performed well on both datasets. In the fieldsegmentation that is the most concerned, the identification accuracy reached97.8% and 95.2%, respectively, and the average accuracy of field and road was94.2% and 88.3%, respectively. In conclusion, this work verifies the feasibility ofusing semantic segmentation to realize trajectory segmentation of agriculturalmachinery. Compared with the current researches, the proposed method isapplicable to trajectory data with two precisions, which has stronger domaingeneralization ability. And it performs quite fast with an average inference time of 0.044 s for each image block, demonstrating that the proposed algorithm issuitable for the big data processing of agricultural machinery.
Influencing factors of stock returns based on Fama-French model and intelligent algorithm
Authors: Rui Xunyuan 
Published: March 2023

Abstract
Due to the large number of stock companies, complex stock categories and inconsistent evaluation standards of market value, it is not conducive to the choice of investors. Based on the theory and practice of traditional stock performance evaluation model, this paper integrates the algorithm thought structure of Fama-French five-factor model, and proposes a machine learning algorithm model for stock performance research. In addition, this paper also builds a model that can evaluate the style and timing ability of fund managers to improve the fund performance evaluation system to a greater extent. With the help of the performance evaluation updating function of the model, it provides a new experience material in the empirical research composition of the fund performance field. In the system test module, the former prediction data and the actual experimental data are integrated, and the two are sorted out and compared, which proves the feasibility and effectiveness of the proposed algorithm model. The final experimental results verify the usefulness of the model in stock return prediction and analysis of influencing factors.
HSP90 inhibition attenuated isoflurane-induced neurotoxicity in rat and human neuroglioma cells
Authors: Zhang Chunlu , Chen Xi , Zhang Wenjing , Liu Ruizhu , Zhao Guoqing 
Published: March 2023

Abstract
Background
HSP90 has been shown to play an important role in maintaining neuronal homeostasis under stressful conditions. However, the effect of HSP90 during isoflurane exposure is unknown. This study aimed to investigate the protective effect of HSP 90 inhibition following isoflurane exposure and elucidate the potential regulatory mechanisms in vivo and in vitro.
Methods
Isoflurane-induced hippocampal neuron injury model was established in aged male C57BL/6 mice. After pretreatment with HSP90 inhibitor 17 AAG, the mice were administrated to isoflurane inhalation. Human neuroblastoma SH-SY5Y cells were pretreated with 17AAG and exposed to isoflurane. The hippocampal neuronal injury in mice were examined by HE staining and immunofluorescent staining. Cell viability in SH-SY5Y cells was examined by CCK8 assay and trypan blue staining. Ferroptosis biomarkers were investigated by transmission electron microscopy, flow cytometry, and western blot. We also detected the CMA signaling pathway to test the effect of HSP90 in isoflurane-induced neurotoxicity.
Results
The HSP90 inhibitor, 17 AAG, reduced isoflurane-induced ferroptosis in the mouse hippocampus and cultured neuronal cells. Isoflurane activated the CMA pathway, which then mediated GPX4 degradation. 17 AAG contributed to the preservation of GPX4 activity at physiological levels under isoflurane exposure. In addition, 17 AAG inhibits CMA activity and GPX4 degradation by preventing the formation of complexes between HSP90 and LAMP2A, thereby affecting isoflurane-induced ferroptosis.
Conclusions
HSP90 inhibition protects against isoflurane-induced neurotoxicity in vivo and vitro via inhibition of CMA pathway and GPX4 degradation, which induced ferroptosis and thus neuronal cell death.
Ligand-based adoptive T cell targeting CA125 in ovarian cancer
Authors: Zhao Haihong , Wu Lina , Dai Jiemin , Sun Ke , zi Zhenguo , Guan Junhua , Zhang Liwen 
Published: March 2023

Abstract
Background: Ovarian cancer (OC) is a globally malignant gynecological disease with aggressive nature, most OC cases are diagnosed at late stages and the 5-year overall survival was less than 35% after conventional treatment. Furthermore, OC patients are rarely responsive to immune-check-point inhibitor therapy, and the efficacy of CAR-T therapy was also modest due to inefficient T cell infiltration. Hence, additional approaches to improve T cell traffic in OC tumor sites need to be developed.
Methods: In this report, based on the structure of the chimeric antigen receptor, we developed a novel adoptive T cell therapy with a ligand-receptor as the binding motif to improve CA125 targeting therapeutic effect against ovarian cancer. As mesothelin can naturally bind to CA125 with high affinity, the core-binding fragment of mesothelin was concatenated with 4-1BB and CD3ζ signal fragments to assemble a novel CA125-targeting chimeric receptor (CR). Meanwhile, the CAR structure targeting CA125 derived from the 4H11 antibody was also analogously constructed. CR and CAR coding RNA were electroporated into T cells to test their antitumor activity both in vitro and in vivo.
Results: While CR-T or CAR-T has shown moderate activity targeting two ovarian cancer cell lines, CR and CAR co-expressed T cells had a superior killing effect than T cells expressing CR or CAR alone. Upon interaction with ovarian tumors, the activation markers and functional cytokine release abilities were also significantly increased in CR and CAR co-expressed T cells. Similarly, CR and CAR co-expressed T cells could persistently control transplanted ovarian cancer tumor growth in NOD/SCID mice and prolong the overall survival of tumor-challenged mice. Transcriptome sequencing showed that survival and cytotoxicity properties of CR and CAR co-expressed T cells were significantly altered compared with T cells expressing CR or CAR alone.
Conclusion: Our work demonstrates that CA125 targeting CR and CAR can synergistically kill ovarian cancer, suggesting these two binding motifs simultaneously targeting CA125 on tumors may yield improved responses in ovarian cancer treatment.
Electron transport and scattering mechanisms in ferromagnetic monolayer Fe3GeTe2
Authors: Badrtdinov Danis , Pushkarev Georgy , Katsnelson Mikhail , Rudenko Alexander 
Published: March 2023

Abstract
We study intrinsic charge-carrier scattering mechanisms and determine their contribution to the transport properties of the two-dimensional ferromagnet Fe3GeTe2. We use state-of-the-art first-principles calculations combined with the model approaches to elucidate the role of the electron-phonon and electron-magnon interactions in the electronic transport. Our findings show that the charge carrier scattering in Fe3GeTe2 is dominated by the electron-phonon interaction, while the role of magnetic excitations is marginal. At the same time, the magnetic ordering is shown to effect essentially on the electron-phonon coupling and its temperature dependence. This leads to a sublinear temperature dependence of the electrical resistivity near the Curie temperature, which is in line with experimental observations. The room temperature resistivity is estimated to be ~$35 μΩ· cm which may be considered as an intrinsic limit for monolayer Fe3GeTe2.
Prediction of Crop Disease Using Rank Regressive Learning and Proaftn Fuzzy Classification Models
Authors: jayabrabhu saritha , Thangaraja Abel 
Published: March 2023

Abstract
Today, Machine Learning (ML) is driving the big variation covering significant industries. Agriculture is one industry where ML researchers are operating with farmers to assist farmers put together a better and more significant utilization of the dwindling resources owing to the metropolitan and big data concept. Nevertheless, plant disease, specifically crop plants, is an extensive menace as far as global food security is concerned. Diseases prevalent in plants at the first hand influence the fruit or grain quality, therefore resulting in the lessening of agricultural fertility. The conventional method of crop disease identification is performed via visual investigation. However, this type of process is said to be extremely incompetent and hence susceptible to the error with the inception of big data. Over the past few years, several works on ML techniques for crop disease prediction have been proposed. To overcome this proposed work, a novelty method called Rank Regressive Learning and Proaftn Fuzzy Classification - crop disease prediction with big data for soybean is proposed. The RRL-PFC crop disease prediction method is split into two sections. They are feature selection and crop disease prediction. Initially, raw data is obtained from the Soybean dataset (i.e., one of the crops utilized from crop yield), that are produced to input vector matrix. To choose the relevant features that are designed for categorizing crop disease, the Rank Regressive learning-based Feature Selection is applied than vector matrix as input. Finally, with the computationally efficient selected features, categorization of crop disease is made by means of Proaftn Fuzzy Classification-based Crop Disease Prediction in an accurate manner. The experimental evaluation of the proposed RRL-PFC method with respect to improved accuracy and lesser time, overhead, and error rate than the conventional methods.
Does Exploitation Reduce Carbon Storage? A Study on the Liao River Estuary Wetland
Authors: Pan Jingyu , Wang Guanxun , Yu Jing , Yan Wenwen , Gu Dongqi 
Published: March 2023

Abstract
There are many studies on carbon storage estimates, but only a few have shown an increase in carbon storage over time. The reasons for these increases are the positive ecological evolutions. The Liao River Estuary wetland is a unique area with “the more exploited, the higher carbon storage.” Based on remote sensing images and field surveys, we interpret the landscape type of the Liao River Estuary wetland. Furthermore, we estimate carbon storage and density evolution using the InVEST model. The results showed that 356.95 km2 of natural wetlands were transformed into artificial wetlands. The occupied natural wetlands were mainly tidal flats and reeds, which were mostly converted into paddy fields and aquaculture ponds. From 1980 to 2020, the changes in the carbon source and sink areas tended to be stable. The total carbon storage increased by 21.13×104 t. 1980–2010 was in the phase of land use exploitation, and the carbon storage increased by 57.37×104 t; 2010–2020 was in the ecological protection phase, and the carbon storage decreased by 36.25×104 t. It was because the core area with high carbon storage is well protected while exploiting the peripheral low-carbon area increased the carbon storage. It indicates that carbon storage capacity should not be directly related to the development degree and ecological environment value. Instead, it is necessary to calculate the area of natural and artificial wetlands and carbon storage separately, thereby confirming human disturbance and environmental value, etc. This paper demonstrates that development and carbon sequestration can be achieved simultaneously with proper land use planning, providing policy guidance for estuarine economic zones.
The growth and developmental outcomes of Hypoxic Ischemic Encephalopathy; Population-based study from 2010 to 2019
Authors: Park Joonsik , Park Sook Hyun , Kim Chloe , Yoon So Jin , Lim Joo Hee , Han Jung Ho , Shin Jeong Eun , Eun Ho Seon , Park Min Soo , Lee Soon Min 
Published: March 2023

Abstract
Despite advances in obstetric care, hypoxic ischemic encephalopathy (HIE) remains a significant disease burden. Using a national dataset, we determined the trends of HIE prevalence, the use of therapeutic hypothermia (TH), mortality, and outcomes from 2012 to 2019. This study included term infants diagnosed with HIE (International Classification of Diseases-10 code: G93.1) between 2012 and 2019 from the National Health Insurance Service database. The prevalence of HIE was 23.7 per 10,000 birth without significant change during the period. The mortality among all term infants with HIE was 4.6% (range: 3.1–6.2%). TH was performed in approximately 6.7% of infants with HIE and the annual variation was large, ranging from 2.4–12.5%. Infants with TH showed significantly higher mortality, nitric oxide usage, and invasive ventilator usage than those without TH. Infants with TH also showed significantly poorer outcomes including delayed development, cerebral palsy (CP), sensorineural hearing loss and seizure compared to infants without TH (p < 0.0001). With increasing application of TH, mortality and developmental outcomes among infants with HIE has been improving in the past eight years in Korea. Further efforts to improve outcomes should be needed.
Leveraging electronic health records to identify risk factors for recurrent pregnancy loss across two medical centers: a case-control study
Authors: Roger Jacquelyn , Xie Feng , Costello Jean , Tang Alice , Liu Jay , Oskotsky Tomiko , Woldemariam Sarah , Kosti Idit , Le Brian , Snyder Michael , Torgerson Dara , Shaw Gary , Stevenson David , Rajkovic Aleksandar , Glymour M. , Aghaeepour Nima , Cakmak Hakan , Lathi Ruth , Sirota Marina 
Published: March 2023

Abstract

Recurrent pregnancy loss (RPL), defined as 2 or more pregnancy losses, affects 5-6% of ever-pregnant individuals. Approximately half of these cases have no identifiable explanation. To generate hypotheses about RPL etiologies, we implemented a case-control study comparing the history of over 1,600 diagnoses between RPL and live-birth patients, leveraging the University of California San Francisco (UCSF) and Stanford University electronic health record databases. In total, our study included 8,496 RPL (UCSF: 3,840, Stanford: 4,656) and 53,278 Control (UCSF: 17,259, Stanford: 36,019) patients. Menstrual abnormalities and infertility-associated diagnoses were significantly positively associated with RPL in both medical centers. Age-stratified analysis revealed that the majority of RPL-associated diagnoses had higher odds ratios for patients <35 compared with 35+ patients. While Stanford results were sensitive to control for healthcare utilization, UCSF results were stable across analyses with and without utilization. Intersecting significant results between medical centers was an effective filter to identify associations that are robust across center-specific utilization patterns.
RETRACTED: Effects of epidural dexmedetomidine on perioperative hemodynamics in patients undergoing varicose vein surgery for the lower extremities: a prospective randomized, controlled, double-blind clinical trial
Authors: Zeng Sisi , Li Xuechao , Wang Na , Li Jiabei , Gao Luyue , Wan Jixiang , Yang Zhen , Wang Fangjun 
Published: March 2023

Abstract

The authors have requested that this preprint be removed from Research Square.
Impact of local delivery of allogenic chondrocytes on the biological response andhealing of the sternum bones after sternotomy
Authors: Krauze Agata , Fus-Kujawa Agnieszka , Bajdak-Rusinek Karolina , Uklejewicz-Żyła Dorota , Fernandez Carlos , Bednarek Ilona , Gałka Sabina , Sieroń Łukasz , Bogunia Edyta , Hermyt Mateusz , Nożyński Jerzy , Milewski Krzysztof , Czekaj Piotr , Wojakowski Wojciech 
Published: March 2023

Abstract
The median sternotomy is the incision of choice for many procedures where one of the major problems is the long post-operative wound healing process leading to sternal dissection and the development of infection. This leads to prolonged hospital stay and increased mortality from post-operative complications. A promising solution appears to be the use of allogeneic chondrocytes for wound treatment, whose properties for the reconstruction of cartilage structures are widely used in medicine, mainly in orthopedics. In the present study, we investigated the effect of local delivery of allogeneic chondrocytes on the biological response and healing of the sternum bone after sternotomy. We optimized the culture conditions for the isolated chondrocytes, which were then applied to the sternal incision wound. Chondrocytes in the culture were evaluated based on the presence of chondrocyte-specific genes: Sox9, aggrecan and collagen II. In turn, the histopathological and immunohistochemical evaluation was used to assess the safety of implantation. In our work, we demonstrated the possibility of obtaining a viable chondrocytes culture, which were successfully introduced into the sternal wound after sternotomy. Importantly, implantation of allogeneic chondrocyte showed no significant side effects. The obtained results open new possibilities for research on the use of allogeneic chondrocytes in the process of accelerating wound healing after central sternotomy.