bluuebunny/crossref_metadata_2025_split huggingface dataset:
Foliage Litter Decomposition of the Three Selected Indigenous Agroforestry Tree Species Jimma Zone Southwest Ethiopia
Authors: Hailu Kasu , Estifanos Solomon , kebede Dargo 
Published: February 2023

Abstract
In agroforestry land use system soil productivity is maintained through the decomposition of tree species biomass input mainly foliage’s litter material. The quality of foliage litter material could be considerably varied among species. Hence, better soil management decision in agroforestry land use system remains on identification and use of the desirable species biomass input based on their decomposition characters. A study was conducted to evaluate the decomposition pattern of foliage litter materials of three selected indigenous agroforestry tree species grown in Jimma town Boye nursery site, southwest Ethiopia. In the study single exponential model was employed to determine the decay rate of decomposing litter materials as the dependency of degradation rate on some litter chemical quality indices examined by using Pearson’s correlation coefficient. Results showed that, C.macrostachyus decomposed significantly faster than both F.vata and E.abyssinica with rate constant (k) of 0.0400 day− 1 (C. macrostachyus) and 0.0233 day− 1 for both F.vata and E.abyssinica with t respective 17.3 and 29.7days taken to loss 50% of original dry matter. The explained variation in rate of decomposition among the tested species was found to be due to the effects of some litter chemical quality parameters. Accordingly Cellulose and C/N ratio were identified as impeding biochemical parameters whereas Phosphorus and Nitrogen were identified as facilitators. Among the species, E.abyssinica reported to be the best species to return higher amount of nitrogen within a short time period followed by C.macrostachyus and F.vasta, respectively. The accelerated decomposition of C.macrostachyus may limit its potential for long-term build-up of soil fertility. Alternatively, E.abyssinica majorly and F.vasta in some cases should be considered for long-term build-up of soil organic carbon.
Lenalidomide overcomes the resistance to third-generation CD19-CAR-T cell therapy in preclinical models of diffuse large B-cell lymphoma
Authors: Jin Zhen , Xiang Rufang , Qing Kai , Li Dan , Liu Zhao , Li Xiaoyang , Zhu Hongming , Zhang Yunxiang , Wang Lining , Xue Kai , Liu Han , Xu Zizhen , Wang Yingxiao , Li Junmin 
Published: February 2023

Abstract
Purpose：Chimeric antigen receptor (CAR)-T cells against CD19 have been proven to be effective in treating B-cell hematological malignancies. However, the efficacy of this promising therapy is limited by many factors.
Methods： In this study, the germinal center B-cell-like diffuse large B-cell lymphoma (GCB-DLBCL) cell line OCI-Ly1, and patient-derived xenografted (PDX) mice (CY-DLBCL) were used as the CAR-T cell-resistant model. Meanwhile, the activated B-cell-like (ABC) DLBCL cell line OCI-Ly3 and PDX mice (ZML-DLBCL) were defined as the CAR-T sensitive model. The enhancement of CAR-T cell function by lenalidomide (LEN) was examined in vitro and in vivo.
Results：Lenalidomide effectively enhanced the function of third-generation CD19-CAR-T cells by polarizing CD8+ CAR-T cells to CD8 early-differentiated stage and Th1 type, reducing CAR-T cell exhaustion and improving cell expansion. It was further demonstrated that CAR-T cells combined with LEN substantially reduce the tumor burden and prolong the survival time in various DLBCL mouse models. LEN was also found to promote the infiltration of CD19-CAR-T cells into the tumor site by modulating the tumor microenvironment.
Conclusion: In summary, the results of the present study suggest that LEN can improve the function of CD19-CAR-T cells, providing a basis for clinical trials using this combination therapy against DLBCL.
Socioeconomic impacts of flooding and its coping strategies in Nigeria: Evidence from Dagiri community, Gwagwalada area council of Abuja
Authors: Badamosi Abiola Peace , Olutumise Adewale Isaac , Olukoya Obafemi Paul , Adegoroye Ademola , Aturamu Oluyede Adeleke 
Published: February 2023

Abstract

Dagiri, a community in the Gwagwalada area council, has been ravaged by floods. The most recent which took place on 25th July 2020 was devastating and had severe impacts on the community. This study focuses on the socioeconomic implication of the 2020 flood in the Dagari community. To achieve the specific objectives, a number of methodologies were employed such as map analysis, questionnaire survey, oral interviews, and site observations. Presentation of results was done using percentages, tables, bar graphs, pie charts, and photos. The land cover is mostly residential with urban infrastructures. A flood hazard map was created from which analysis revealed that about 87% of the area is at risk of flooding, though the severity of vulnerability varies from low vulnerable areas to highly vulnerable risk zones. The socioeconomic impacts were duly measured using some sustainable development indicators, and the result revealed that flooding had numerous socio-economic impacts on the community, ranging from income, education, agriculture, sanitation, infrastructures and properties. The coping strategies adopted by some community members were also very inadequate, while a high number of them are not employing any coping strategies at all. Therefore, we recommend a regulated and scientifically coordinated aggregate mining from the river and also relocation of households living in high-risk flood zones. The government should invest more in flood (disaster) management with the recent challenge of climate change.
Leptin reduces autophagy and improves the survival of human chondrocytes induced by inflammation through the mTOR signaling pathway
Authors: Li Ping , Li Junnan , Yang Qiming , Lu Yang , Zhang Jian 
Published: February 2023

Abstract
Objective: This study aims to investigate the effects of leptin on human chondrocytes in vitro from the autophagy regulated by the mammalian target of rapamycin(mTOR)signaling pathway.
Methods: Human articular chondrocyteswere isolated and cultured. Chondrocytes were identified by Toluidine blue staining and Col II immunocytochemistry staining. Chondrocytes were assigned into the blank group, Interleukin-1β (IL-1β) group, leptin group, leptin+IL-1β group, leptin+leptin antagonistgroup, and leptin+leptin antagonist+IL-1β group. Cell proliferation and apoptosis were detected byCell Counting Kit-8 (CCK8) and flow cytometry respectively. Cell autophagy was detected by Monodansylcadaverine(MDC) staining and mRFP-GFP-LC3fluorescence microscopy was utilized to evaluate autophagy rates.
Results: The result of CCK8 assay presented the cell proliferation rate of had no difference between the leptin group and the blank group, and IL-1β group was lower, leptin+IL-1β group was in the middle. In flow cytometry, the apoptosis rate of the leptin+IL-1β group was the lower than IL-1β group. MDC-positive staining cells and the level of autophagy showed despite the autophagy rate was increased in IL-1β group, but in leptin+IL-1β group, the autophagy rate was decreased. Quantitative real-time PCR(QRT-PCR) and Western blotting showed the mRNA expressions of Atg5 and Atg7 and the protein expressions of LC3B were corresponded with the level of autophagy. But the expressions of mTOR protein was opposite changed.
Conclusions: IL-1β could inhibit human chondrocyte proliferation and up-regulation of the level of autophagy. Leptin could attenuate the effect of IL-1β on chondrocytes and down-regulation the autophagy, the mechanism may be related to the mTOR signaling pathway.
Molecular epidemiology and phylodynamic analysis of enterovirus 71 in Beijing, China, 2009-2019
Authors: Li Jie , Liang Zhichao , Huo Da , Yang Yang , Li Renqing , Jia Lei , Wang Xiaoli , Huang Chun , Wang Quanyi 
Published: February 2023

Abstract
Background: Enterovirus 71(EV71)-associated hand foot and mouth disease (HFMD) decreased dramatically in Beijing, during 2009-2019. This study was to investigate the epidemiological characteristics, evolutionary dynamics, geographic diffusion pathway and other features of EV71 in Beijing, China.
Methods: We carried out a retrospective study of EV71-associated HFMD and its causative agent in Beijing, China during 2009-2019. Phylogenetic and phylogeographic methods based on the EV71 genome were used to determine the evolution features, origin, spatiotemporal dynamics. Positive selection sites in the VP1 gene were identified and exhibited in the tertiary structure. Bayesian birth-death skyline model was used to estimate effective reproductive number (Re).
Results: EV71-associated HFMD decreased greatly in Beijing. From 2009 to 2019, EV71 strains prevalent in Beijing shared high homology in each gene segment and evolved with a rate of 4.99*10-3 substitutions per site per year. Genetic diversity of EV71 first increased and peaked in 2012 and then decreased with fluctuations. The time to the most recent common ancestor (TMRCA) of EV71 in Beijing was estimated around 2003, when the EV71 strains were transmitted to Beijing from the east China. Beijing played a crucial role in seeding EV71 to central China as well. Two residues (E145Q/G, A293S) under positive selection were detected from both VP1 dataset and P1 dataset. They were embedded within the loop of the VP1 capsid and were exposed externally. Mean Re estimate of EV71 in Beijing was about 1.007.
Conclusion: With a decreased genetic diversity, EV71 was no longer the primary causative agent of HFMD in Beijing in recent years. Beijing and the east China played a crucial role in seeding EV71 to other regions in China. Low Re estimate of EV71 in Beijing implied that strategies of prevention and control of HFMD were performed effectively.
Transcutaneous carbon dioxide measurements in patients undergoing retroperitoneoscopic urologic surgery: A prospective observational study
Authors: Liu Yang , Li Nan , Kong Qiuyue , Huang Shaokang , Wang Xian , Yang Chun , Liu Cunming , Ding Zhengnian , Liu Shijiang 
Published: February 2023

Abstract
Purpose: The aim of the current study was to investigate the accuracy of transcutaneous CO2 pressure (PTCCO2) monitoring and the correlation between it and arterial CO2 pressure (PaCO2), so as to determine PaCO2 in patients undergoing retroperitoneoscopic urologic surgery.
Methods: 50 patients undergoing retroperitoneoscopic urologic surgery were enrolled in this study. PaCO2, end-tidal carbon dioxide partial pressure (PETCO2), and PTCCO2 values were measured at 4 time points: before pneumoperitoneum, 30 mins, 60 mins and 90 mins after pneumoperitoneum, respectively. The differences of PaCO2 – PETCO2 and PaCO2 - PTCCO2 were calculated. Paired t test, Bland–Altman method, correlation and regression analysis, as well as Fisher’s exact test were employed for the data analysis.
Results: Totally 157 samples were obtained. The mean (SD) of PaCO2, PETCO2 and PTCCO2 were 55.5 (7.2) mmHg, 42.3 (5.2) mmHg and 51.9 (84) mmHg, respectively. The absolute difference of PaCO2－PETCO2 was 13.20 ± 4.43 mmHg and 4.35 ± 2.56 mmHg for PaCO2－PTCCO2 (P < 0.0001). And the correlation coefficient (r) between PaCO2 and PETCO2 was 0.79 (r2 = 0.62, P < 0.0001) , whereas that value between PaCO2 and PTCCO2 was 0.91 (r2 = 0.83, P < 0.0001). Meanwhile, the linear regression between PaCO2 and PETCO2 was PETCO2 = 0.60×PaCO2＋9.10 (P < 0.0001), whilst the counterpart between PaCO2 and PTCCO2 was PTCCO2 = 1.07×PaCO2－7.30 (P < 0.0001). The 95% limits of agreement (LOA) of PaCO2 versus PETCO2 was 4.53 to 21.88 mmHg and -3.18 to 10.48 mmHg for PaCO2 versus PTCCO2.
Conclusion: PTCCO2 monitoring provided greater accuracy to estimate PaCO2 in patients undergoing retroperitoneoscopic urologic surgery as compared to PETCO2 .
A hybrid approach based on multi-criteria decision making and data-based optimization in solving portfolio selection problem
Authors: Doaei Meysam , Dehnad Kazem , Dehnad Mahdi 
Published: February 2023

AbstractIn this paper, a two-phase approach based on multi-criteria decision making and multi-objective optimization is developed to solve the problem of optimal portfolio selection. In the first phase, the initial selection of suitable companies for investment is done by considering the criteria extracted from the literature review. In the second phase, a multi-objective mathematical optimization model is developed to determine the optimal investment in each company according to risk and return criteria. In order to deal with uncertainty conditions, a data-based approach is used, which is one of the newest applied methods in this field. According to the obtained results, it is observed that cash adequacy ratio with score 0.1604 is the most important criterion and operating profit with score 0.004 is the least important one. In the alternative prioritization section, it is concluded that Shraz, Shavan, Shenft and Vanft companies have a high priority for investment. In solving the mathematical model under certain conditions, it is observed that the Pareto members 152, 154 and 193 have the smallest distance from the ideal solution (0.0121) and therefore each of them can be used as the final solution. In solving the problem under uncertain conditions, numerical scenarios resulting from changes in the prioritization of companies based on the coefficient v is used in the VIKOR model. After solving the model, it is observed that the impact of different scenarios on corporate investment is not negligible and consequently investors need to pay attention to this fact.
Insilico Identification of MHC displayed Tumor Associated Peptides in Ovarian Cancer for Multi-Epitope Vaccine Construct
Authors: Dobhal Shivashish , Chauhan Kanchan , Kumar Sachin , Shikha Sristy , Jogi Mukesh K , Kumar Dinesh , Kumar Anuj , Jaiswal Varun K. , Kumar Pramod 
Published: February 2023

Abstract
One of the most prevalent gynaecologic malignancies with the greatest fatality rate is ovarian cancer. By recognizing the potential of immune system, immunotherapies have brought about a revolution in the treatment of cancer. However, interactions of malignant, non-malignant, and immune cells in the peritoneal cavity form a unique TME which is less explored in terms of immunosuppression. Less tumour mutational burden and strong immunosuppression in peritoneal TME leads to poor outcome of immune checkpoint inhibition (ICI) and CART cell therapy in ovarian cancer. Therefore, alternative immunotherapeutic strategies are of utmost importance to achieve sound clinical success. The development of peptide vaccines based on tumor-associated antigens (TTAs) displayed in ovarian cancer cells can be a potential target to provoke an anti-tumor immune response and subsequent clearance of tumour cells. This insilico study was conducted to find out potential epitopes for a peptide vaccine construct using the immunopeptidomics landscape of ovarian carcinoma. In this investigation, we have selected MUC16, IDO1, FOLR1, and DDX5 for epitope prediction. Potential epitopes for B-cells, Helper T-lymphocytes (HTL) and Cytotoxic T-lymphocytes (CTL) were predicted on the basis of antigenic, allergenic, and toxic properties to design a multiepitope construct. The insilico evaluation of physicochemical properties and higher order structural analyses of the final construct revealed a potential vaccine candidate. The designed vaccine construct may be employed as a therapeutic immunization candidate for ovarian malignancies either alone or in combination with ICI. However, further in vitro and animal experimentation is required to establish the efficacy of the vaccine candidate.
Clinical outcomes and safety analysis for PD-1 inhibitor plus chemotherapy in HER2 negative advanced gastric cancer
Authors: Tang Lin , Wu Qiang , Ma Changsheng 
Published: February 2023

Abstract
Background and purpose: Programmed death-1 (PD-1) inhibitor has been approved as second or later-line treatment in advanced gastric cancer (AGC). The study aimed to compare the clinical outcomes of PD-1 inhibitor plus chemotherapy (combination therapy) with chemotherapy monotherapy as second or later-line treatment in AGC.
Methods: The clinical data of patients with AGC with human epidermal growth factor receptor (her2) negative and receiving combination therapy or chemotherapy monotherapyas second or later-line treatment was retrospectively collected. Objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS) and the occurrence of adverse reactions (AEs) were evaluated between two groups.
Result: A total of 107 patients were enrolled in current study. Fifty-seven patients received combination therapy, and fifty patients received chemotherapy monotherapy. After at least 2 cycles of treated, ORR and DCR in combination therapy group were higher than monotherapy group (37.1% vs 4.3%, P<=0.001; 82.3% vs53.2%, P<=0.001). Median PFS and median OS in combination therapy group were significantlly longer than monotherapy group (9.20 months vs 3.07 months, P<=0.001; 10.47 months vs 7.80 months, P<=0.001). The rate of any grade AEs in combination therapy group was significantlly higher than monotherapy group (98.4% vs 85.1%, P=0.024). There was no treatment-related death in two groups.
Conclusions: Compared with chemotherapy monotherapy, the PD-1 inhibitor combined with chemotherapy as second or later-line treatment in Her2 negative AGC can prolong OS and PFS and improve DCR. However, the incidence of all AEs in combination therapy group was significantly higher than chemotherapy monotherapy group.
Super-hydrophobic silane functional cardanol based sustainable polybenzoxazine-silica hybrids: Thermal, flame resistant and oil-water separation properties
Authors: Subramani Devaraju , Reddy Tenali Gangadhar , G Mukesh 
Published: February 2023

Abstract
In this work, an effort has been made to develop silane functional cardanol based polybenzoxazine-silica hybrid material for high thermal, flame resistant, super hydrophobic and oil-water separation applications. Silane functional cardanol based benzoxazine (C-aptes) monomer is synthesized using cardanol, 3-aminopropyltriethoxysilane (APTES) and paraformaldehyde through Mannich condensation reaction. Later, C-aptes and various weight percentages (0, 25, 50, 75, 100 wt. %) of tetraethylorthosilicate (TEOS) solution is coated on cotton fabric/ or filter paper and polymerized via thermal induced ring opening polymerization. The developed Poly(C-aptes)-silica hybrid materials are utilized to check their molecular structure, thermal, flame resistant, hydrophobic, oil-water separation properties. Data attained from thermal, flame resistant, and hydrophobic studies, conferred that the prepared eco-friendly hybrid poly(C-aptes)-silica revealed higher properties with superior oil-water separation behaviour over the neat PBZ matrices. Consequently the developed sustainable bio-based poly(C-aptes)-silica hybrid materials will be able to useful in hydrophobic coatings and oil-water separations.
Variational Mode Decomposition for Deep Convolutional Neural Networks in Underwater Acoustic Communication
Authors: Jiang Yuanjie , Chen Yuda , Xing Xuefeng 
Published: February 2023

Abstract
Recently, the application of deep convolutional neural networks (DCNN) in underwater acoustic communication has become a growing research hotspot. However, it is hindered by the large amounts of training data required to achieve a complex communication system. In this paper, we propose a novel approach of combining variational mode decomposition (VMD) and DCNN networks to address this issue. Considering filter-bank multicarrier (FBMC) technologies offer promising performance in terms of spectral efficiency and robustness to interference, and the Bellhop model is also capable of providing effective and accurate communication data, this study adopts FBMC technologies for signal modulation and Bellhop models for communication data. The results show that the VMD-DCNN equalizer has a lower BER compared with the other seven contrast methods, thus further promoting the application and development of VMD-DCNN technologies in underwater acoustic communications.
Text mining of veterinary forums for epidemiological surveillance supplementation
Authors: Munaf Samuel , Swingler Kevin , Brülisauer Franz , O’Hare Anthony , Gunn George , Reeves Aaron 
Published: February 2023

Abstract
Web scraping and texting mining are popular computer science methods deployed by public health researchers to augment traditional epidemiological surveillance. However, within veterinary disease surveillance, such techniques are still in the early stages of development and have not yet been fully utilised. This study presents an exploration into the utility of incorporating internet-based data to better understand the smallholder farming communities within Scotland, by using online text extraction and the subsequent mining of this data. Web scraping of the livestock fora was conducted, in conjunction with text mining of the data in search of common themes, words and topics found within the text. Results from bi-grams and topic modelling uncover four main topics of interest within the data pertaining to aspects of livestock husbandry: Feeding, breeding, slaughter, and disposal. These topics were found amongst both the poultry and pig sub-forums. Topic modeling appears to be a useful method of unsupervised classification regarding this form of data, as it has produced clusters that relate to biosecurity and animal welfare. Internet data can be a very effective tool in aiding traditional veterinary surveillance methods, but the requirement for human validation of said data is crucial. This opens avenues of research via the incorporation of other dynamic social media data, namely Twitter and Facebook/Meta, in addition to time series analysis to highlight temporal patterns.
3D microprinting of inorganic porous materials by chemical linking-induced solidification of nanocrystals
Authors: Song Minju , Kim Yoonkyum , Baek Du San , Gu Da Hwi , Cunning Benjamin , Yang Seong Eun , Heo Seung Hwae , Lee Seunghyun , Yoo Jung-Woo , Joo Sang Hoon , Ruoff Rodney , Son Jae Sung 
Published: February 2023

Abstract
Three-dimensional (3D) microprinting is considered a next-generation manufacturing process for the production of microscale components; however, the narrow range of suitable materials, which include mainly polymers, is a critical issue that limits the application of this process to functional inorganic materials. Herein, we develop a generalised microscale 3D printing method for the production of purely inorganic nanocrystal-based porous materials. Our process was designed to solidify all-inorganic nanocrystals via immediate dispersibility control and surface linking in the nonsolvent linker bath and thereby created multibranched gel networks. The process works with various inorganic materials, including metals, semiconductors, magnets, oxides, and multi-materials, not requiring organic binders or stereolithographic equipment. Filaments with a diameter of sub-10 µm are printed into designed complex 3D microarchitectures, which exhibit full nanocrystal functionality and high specific surface areas comparable to those of typical aerogels. This approach enables the manufacture of a very broad range of functional inorganic materials.
Numerical investigation of performance of mirrored Bessel beam in turbulence
Authors: Bayraktar Mert , Chib Salma , Belafhal Abdelmajid 
Published: February 2023

Abstract
We study scintillation and bit error rate performance of mirrored Bessel beams through turbulent atmosphere in this article. We benefit from numerical method to model the atmosphere. Since scintillation plays a vital role in optical wireless applications, reduction in this term provides better performance in these systems. Bearing in mind this, our results indicate that it is possible to decrease scintillation by increasing beam order to three when strong turbulent conditions are satisfied. In addition, we observe that argument of Bessel beam has more dominant role than beam order in moderate turbulence. Lastly, mirroring brings us a slight advantage in case of bit error rate. Results of this study can be beneficial for optical link designers.