bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ensemble convolutional neural network modeling based on a cost-sensitive approach
Authors: Wang Bo , Wang Nan 
Published: December 2023

Abstract
Addressing imbalanced data is one of the most significant challenges in machine learning. This research introduces the Cost-sensitive AdaBoost-CNN, a novel machine-learning approach that combines the strengths of cost-sensitive techniques, adaptive boosting, and convolutional neural networks. This method mitigates the misclassification of underrepresented categories in imbalanced data classification. Building on traditional AdaBoost, our approach integrates the principles of cost-sensitive normalization into the AdaBoost algorithm. This study further validated the approach using Fashion-Mnist and CIFAR-10 datasets. The proposed method consistently outperformed the standard AdaBoost-CNN, Integration Tree, AdaBoost-SVM, and other methods, especially for underrepresented class samples. A comparative experiment involving AdaBoost-CNN and classical neural networks, such as Lenet-5 and Alexnet, was also conducted on the PneumoniaMnist medical image dataset. The proposed method exhibited superior accuracy in classifying minority sample data such as specific patient categories. Additionally, on the multi-category retinal disease OCTMnist dataset, the approach demonstrated significant improvements in Recall, F1-Score, G-mean, and P-mean metrics, especially for the 'drusen' sample data when compared to AdaBoost-CNN.
Weed pressure management through tillage and weed control approaches in rice under resource conserving agriculture
Authors: Meher Sunita , Tiwari Nitish , Chitale Shrikant , Saha Sanjoy , Mahapatra Ashirbachan 
Published: December 2023

Abstract
The present investigation was conducted during three seasons i.e. Kharif seasons in 2019 and 2020 at research cum instruction farm, at Indira Gandhi Krishi Vishwavidyalaya, Raipur (C.G.), where adequate facilities for irrigation and drainage exist. The soil of the experimental field was silty clay in texture. The soil was neutral in reaction (6.86) with normal electrical conductivity (0.349). It had low nitrogen, medium phosphorus and high potassium contents.The experiment was laid out in split plot design with five tillage practices (main plot) i.e. two conventional transplanted rice CT (TPR), one conventional direct-seeded rice CT (DSR), one zero tillage (ZT) and one zero tillage with residues (ZT + R), and three weed management practices (sub-plot) treatments replicated thrice. The test varieties taken was “IGKV R1” sown as per the treatments with recommended dose of fertilizers. The outcomes explicated that among tillage practices, transplanted system of establishment i.e. CT (TPR)-CT-CT proved to be most beneficial in terms of significant economic produce, lowest weed pressure but ZT + R-ZT + R-ZT + R proved with about comparable yield i.e. only 8.39% lesser yield and about 19% lesser weed control efficiency (WCE) than transplanted system i.e. CT (TPR)-CT-CT. Moreover, the yield in zero tillage system increased in second year of trial unlike in CT (TPR)-CT-CT. Hence, long term trial of ZT + R-ZT + R-ZT + R is more eco-friendly and sustainable. Among weed management practices, IWM i.e. oxadiargyl 80 g ha− 1 PE fb hand weeding at 25 DAS/T proved to be registered highest value of all the parameters taken for study. Moreover, it registered 47% higher grain yield than weedy check and 12% higher weed control efficiency (WCE) than recommended herbicides treatment i.e. pyrazosulfuron 20 g ha− 1 fb penoxsulam 22.5 g ha− 1 PoE.
Real world experience of Brolucizumab in recurrent macular oedema in Retinal Vein Occlusions : 12 months follow up
Authors: Narnaware Shilpi H. , Bawankule Prashant , Raje Dhananjay , Jagdhane Prerna , Nagdeve Rakesh 
Published: December 2023

Abstract
Purpose : To evaluate real world outcome in recurrent macular oedema secondary to retinal vein occlusion in relation to anatomical success , visual outcomes and safety of intravitreal brolucizumab injection at 1 year.
Methods : Prospective, randomized study between July 2022 to June 2023 on 17 eyes of 32 patients. Patients were divided into Group 1 : BRVO with ME , Group 2 : CRVO with ME. BCVA, CMT, and number of injections at 1 year were evaluated. From beginning patients were treated on PRN basis.
Results: Study included 17 eyes with a mean age of 63.65 (SD: 10.68) years, and among these, 7 (41.2% ) were diagnosed with BRVO and 10 (58.8%) with CRVO. There was statistically significant improvement BCVA at 12 months in both the categories (P < 0.0001). Mean CMT also reduced significantly in both categories at 12 months (P < 0.0001). Median number of injections required was 2.0, while mean interval between two injections was 4.06 (SD: 1.91) months.
Conclusion: In real-world scenario, with 1 year follow up , brolucizumab is found to be efficacious and safe with less need injections and more interval free period in management of recurrent ME due to RVO’s
Box Behnken Desing for the Optimization of the Antimicrobial Substance Production by Lactic Acid Bacteria
Authors: Altuntas Evrim Gunes , Sevim Busra , Celik Asena Aslihan , Kaymaz Ozlem 
Published: December 2023

Abstract
In this research, we employed a 3-factor Box-Behnken experimental design (BBD), which falls within the category of response surface methods. The objective was to ascertain the optimal conditions for the production of antimicrobial substances by lactic acid bacteria (LAB). We utilized the MINITAB 19 trial version software package (MINITAB Statistical Software, State College, Pennsylvania, USA) for our data analysis. Throughout our analyses, a significance level of α=0.05 was maintained. The experimental parameters encompassed three variables: temperature, incubation time, and substrate concentration. Three levels of temperature were applied in the experiments: 30°C, 35°C, and 37°C. Incubation times were set at 24 hours, 48 hours, and 72 hours, while substrate (glucose) concentrations were established at 1%, 2%, and 3%. In addition to these variables, LAB isolates included in the trials were isolates coded as F2, 40, 50, O2 and Pediococcus pentosaceus ATCC 43201, which was the reference bacteria. Optimal conditions for bacteria coded as O2 and 40 could not be determined using the BBD method. We observed that the production of antimicrobial substances by F2 bacteria was influenced by the incubation period, with the most effective production occurring after an incubation period exceeding 70 hours. Similarly, P. pentosaceus ATCC 43201 exhibited optimal antimicrobial substance production after an incubation period exceeding 70 hours. Bacteria coded as 50 displayed varying antimicrobial activity in response to all three model parameters. The highest antimicrobial substance production was achieved at a temperature of 37°C, an incubation period of 72 hours, and a substrate concentration of 2% in the environment. These results from our trial suggest that the antimicrobial effectiveness of LAB generally increases beyond the logarithmic phase in the growth curve. This observation aligns with the notion that bacteria tend to exhibit a more competitive nature as environmental factors become more limiting, which is often associated with the production of secondary metabolites.
Artificial intelligence classifies and predicts the outcome of primary CNS and nodal large B-cell lymphomas
Authors: Alentorn Agusti , Barillot Noemie , Verdin Isaias Hernández , Rosa Lucas Rincón de la , Velasco Roser , Drieux Fanny , Veresezan Elena-Liana , Mathon Bertrand , Kirasic Eva , Vidal Noemí , González-Barca Eva , Esteller Fina Climent , López Patricia , Abada Yah-se , Heming Michael , zu Hörste Gerd Meyer , Grauer Olivier , Garff-Tavernier Magali Le , Davi Frédéric , Pons-Escoda Albert , Nichelli Lucia , Choquet Sylvain , Jardin Fabrice , Houillier Caroline , MOKHTARI Karima , Hoang-Xuan Khe 
Published: December 2023

Abstract
Primary Central Nervous System Lymphoma (PCNSL) is a particular extra-nodal subtype of large B-cell lymphoma (LBCL) with dismal prognosis. We propose a novel approach using digital pathology to classify PCNSL, assessing the presence of MYD88 L265P mutation and predicting the outcome of PCNSL and LBCL using hematoxylin-eosin (H&E) immunohistochemistry (IHC) samples. We have used different datasets with LBCL and PCNSL for training and validation of our findings with more than 400 patients. The classification with deep learning using H&E to categorize the four molecular clusters in PCNSL showed a median Area Under the Receiver Operating Characteristic Curve (AUROC) of 0.9 [interquartile range, IQR 0.85-0.93]. The spatial transcriptomics and single cell RNAseq analysis showed a high degree of intra-tumoral heterogeneity. In addition, all the partial least squares (PLS) Cox models with cell radiomics or combining cell radiomics with clinical features achieved a C-index higher than 0.9 in all datasets. We were able to correctly classify the four molecular groups obtained with multi-omics approaches only with deep learning applied to H&E samples. These results may facilitate the routine clinical use of this artificial intelligence approach to progressively ease the implementation of precision medicine in LBCL and PCNSL.
A Shoreline Extraction Method Based on Double-Loop Network Framework
Authors: Li Xuanpeng , Cao Hengshuo , Li Jinming , Li Guangyu , Zhao Lin 
Published: December 2023

Abstract
Satellite remote sensing-based shoreline extraction can provide great supports for scientific planning and utilization of coastal zones, marine ecological protection, and efficient shoreline management. In this paper, based on the designed double-loop network framework, we propose an adaptive image segmentation algorithm to achieve end-to-end shoreline extraction. Specifically, by considering triple constraints, a label reassignment module is firstly designed to enabling the extraction network with self-supervised learning ability for adaptive segmentation. Secondly, a data stream attention scheme is constructed to guide the network’s learning directionally, which could enhance the robustness and convergence speed of the double-loop network. Finally, a series of experiments are carried out to validate the effectiveness and feasibility of our proposed work.
L-proline.H2SO4 catalyzed synthesis of novel coumarin-based spiroindolino-3,4-dihydropyrimidin-2(1H)-ones: In-vitro cytotoxic assays and molecular docking study
Authors: Mezhubeinuo Mezhubeinuo , Mohanta Rahul , Bordoloi Hemanta , Verma Akalesh Kumar , Bez Ghanashyam 
Published: December 2023

Abstract

Development of environmentally benign catalyst system, especially those derived from readily available nature’s pool, in multicomponent synthesis consolidates multiple facets of green chemistry. Here, an L-proline derived green acid catalyst in the form of L-proline×H2SO4 was developed and employed for multicomponent synthesis of coumarin-based spiroindolino-3,4-dihydropyrimidin-2(1H)-ones from the reaction of 4-hydroxycoumarin, isatin and urea/thiourea. In this process, molecular building blocks having diverse biological activities such as antitumor, anti-inflammatory, and antitubercular activity were converged into a single molecular framework. Preliminary cytotoxicity studies showed that a couple of compounds (M5 and M6) have good cytotoxicity (40-50%) against in Dalton's Lymphoma (DL) cells, while demonstrating minimal cytotoxicity (10-12%) for normal non-cancerous cell line. Molecular docking simulations for the compounds M6 and M3, the compounds with heist and least cytotoxicity respectively, against Eg5 or Kinesin spindle protein (KSP) revealed the nature of interactions, estimated binding energy, and inhibition constants (Ki) of the compounds with KSP to corroborate with the experimental in-vitro cytotoxicity.
Screening of Ligninolytic Fungi and Optimization of Pretreatment Process for Bioethanol Production from Empty Palm Oil Bunches (OPEFB)
Authors: Firsty Ina Monica , Setyaningsih Ratna , Sugiwati Sri , Das Atanu Kumar , Maryana Roni 
Published: December 2023

Abstract

The high fuel demand causes depletion of non-renewable energy. Fuel substitution such as bioethanol need to be discuss as an alternative to gasoline. Second-generation bioethanol utilizes lignocellulosic biomass. Empty Palm Oil Bunches (OPEFB) is one of the abundant sources of lignocellulosic biomass in Indonesia, that can be potentially converted into bioethanol. This study was conducted to determine the most effective fungal pretreatment on lignin and cellulose content, and measuring enzyme activity. Optimization of temperature, pH, and substrate concentration were carried out using RSM. Trametes versicolor, Pycnoporus cinnabarinus (white-rot fungi), and Aspergillus niger, Aspergillus terreus, Trichoderma harzianum, Trichoderma viride (brown rot and soft rot fungi) were examined in this study. Fungal pretreatment was conduted by adding the fungal suspension to OPEFB, then incubated at 28°C for 14 days. This showed that A. niger had the highest ability to degrade lignin (7.58 ± 1,5%) and increase cellulose (33.56%). The highest laccase and MnP activities were produced by P. cinnabarinus (9,26 and 123.81 U/ml). The highest LiP activity was produced by A.niger (3276,8 U/ml). XRD analysis resulting in reducing CCI in pretreated sampel. Optimization of pretreatment using A.niger which produce highest lignin removal obtained at 30 oC, pH 5, and 7 grams OPEFB (14.21 ± 0.50%). At 25 oC, the highest cellulose content was obtained (53.08%). The pretreated sample using A. niger was hydrolyzed with enzymes, resulting in 1.09 g (36.30%) of reducing sugar at 48 hours at 50 oC, by DNS method. Saccharomyces cerevisiae were used for fermentation, resulting in ethanol of 0.56%.
Plant Disease Management: A Fine-Tuned Enhanced CNN Approach with Mobile App Integration for Early Detection and Classification
Authors: Iftikhar Mudassir , Kandhro Irfan Ali , Kausar Neha , Kehar Asadullah , Uddin Mueen , Dandoush Abdulhalim 
Published: December 2023

Abstract

Farmers face a daunting challenge in meeting the escalating demands of a rapidly growing population for agricultural products, while plant diseases continue to exact a devastating toll on food production. Despite investing billions of dollars in disease management, agriculturists often struggle to achieve effective disease control without the support of advanced technology. The article explores a deep learning-based approach for disease detection. Specifically, it employs a Convolutional Neural Network (CNN) architecture for the detection. For the automated detection of plant disease, using plant images. This paper presents a new model for the early detection of plant detection based on processing plant images. And compare the in-depth performance analysis of hyper parameters in the context of plant disease detection by focusing on three distinct crops: (Apple, Corn, and Potato). Moreover, the data augmentation impact is analyzed. To enhance accessibility for farmers, our model is seamlessly integrated with a mobile application. The experimental results show the efficiency of our fine-tuned enhanced CNN model (E-CNN) achieving 98.17% accuracy on fungal classes. This research endeavors to pave the way for more effective plant disease management and ultimately to improve agricultural productivity in the face of mounting global challenges.
Effective electrode preparation to prevent crevice in steel electrodes
Authors: Frontini María Alejandra , Vazquez Marcela , Valcarce María Beatriz 
Published: December 2023

Abstract
Crevice corrosion is hard to avoid when the corrosion resistance of steel electrodes needs to be evaluated, particularly when chloride ions are present in the electrolyte. This problem is recurrent when studying the performance of construction steel in concrete pore simulating solutions that aim to replicate a marine exposure. Other steel applications in aggressive environments face the same problem. This study describes a simple pre-treatment implemented on the steel bars before the electrodes were constructed, which successfully helps to minimize the risk of electrodes showing crevice after an electrochemical evaluation in the anodic potential range. The effectiveness of this acidic pre-treatment can be evaluated electrochemically in alkaline solutions. Polarization curves, electrochemical impedance spectroscopy and voltammograms on electrodes with and without the pre-treatment demonstrate the advantages of implementing the pre-treatment.
Exploring the mutualistic symbiotic mechanism of industrial transfer between China and the countries along the "Belt and Road"
Authors: hu haisheng 
Published: December 2023

Abstract
The construction of a "Community of Shared Future for Mankind" requires a concept of mutual benefit and coexistence. The implementation of the "Belt and Road" initiative cannot be separated from the strategy of industrial transfer. Whether the industrial transfer between China and the countries along the "Belt and Road" can achieve the mutual benefit and coexistence of bilateral industries is related to the quality and stability of the joint construction of the "Belt and Road". It can also provide empirical evidence to respond to some countries' doubts about the motives of the "Belt and Road" initiative. This article analyzes the mutual benefit and coexistence effects and their mechanisms of industrial transfer between China and countries along the "Belt and Road" from three dimensions of the mutual benefit and coexistence relationship: integration, interaction, and coordination. It uses the EORA world input-output data from 2003 to 2021 for empirical verification. The research results show that the overall level of industrial mutual benefit and coexistence between China and the countries along the "Belt and Road" continues to improve, but the differences between different industries and regions are significant; the industrial transfer between China and the countries along the "Belt and Road" can promote the mutual benefit and coexistence of bilateral industries. This promotion is mainly achieved by strengthening regional value chain cooperation and improving the level of industrial agglomeration. The mutual benefit and coexistence effects of industrial transfer between China and the countries along the "Belt and Road" vary in regions, industries, and time periods. The effects are more significant with the industrial transfer from developed countries along the route, the industrial transfer from medium and high-tech industries, and the industrial transfer after the initiative proposed. The research of this article provides important implications for deepening the industrial transfer between China and the countries along the "Belt and Road" and constructing a system of regional value chain cooperation with mutual benefit and coexistence.
In-silico Investigation by Molecular Docking, DFT and Pharmacokinetic Studies of Some Synthesized 1,8-Naphthyridine Derivatives as Prospective Anti-Breast Cancer Agents
Authors: Magit Nangnom Dachung , Umar Abdullahi Bello , Magit Nathaniel Dachung 
Published: December 2023

Abstract
Cancer, which has been identified as the second leading causes of health-related mortalities worldwide, is a disease in which some cells of the human body grow uncontrollably and spread to other parts of the body. The resistance of cancer (especially breast cancer) cells to known treatments as well as the adverse side effects associated with current anti-breast cancer drugs necessitates the discovery of novel and potent drug candidates. In this study, in-silico approaches such as DFT studies, Molecular Docking simulation and pharmacokinetic property predictions were used to examine the potency of seventeen (17) previously synthesized novel derivatives of 1,8-naphthyridine as potent anti-breast cancer agents using the Tamoxifen Standard drug (an FDA approved drug for the treatment of breast cancer) as reference. From the molecular docking studies, most of the compounds were found to have better binding energy to the human estrogen receptor (PDB ID: 1ERR) than the control drug (Tamoxifen, Mol. Dock score = −137.807, Re-rank score = −106.527 Kcalmol-1). Compounds C3 and C13 (with Mol. Dock scores -147.054 and -147.819 Kcalmol-1 respectively), which had superior docking scores than the standard drug, were found to be stable based of DFT studies. The predicted drug-likeness and pharmacokinetics properties of these two compounds were also found to be within the acceptable optimal requirements for drug development. Based on the results therefore, compounds C3 and C13 are proposed as potent anti-breast cancer drug candidates with better anti-breast Cancer capacity than the tamoxifen standard drug.
Cy-1, a major QTL for tomato leaf curl New Delhi virus resistance, harbors a gene encoding a DFDGD-Class RNA-dependent RNA polymerase in cucumber (Cucumis sativus)
Authors: Koeda Sota , Yamamoto Chihiro , Yamamoto Hiroto , Fujishiro Kohei , Mori Ryoma , Okamoto Momoka , Nagano Atsushi J. , Mashiko Takaaki 
Published: December 2023

Abstract

Background
Tomato leaf curl New Delhi virus (ToLCNDV) (family Geminiviridae, genus Begomovirus) is a significant threat to cucumber (Cucumis sativus) production in many regions. Previous studies have reported the genetic mapping of loci related to ToLCNDV resistance, but no resistance genes have been identified.
Results
We conducted map-based cloning of the ToLCNDV resistance gene in cucumber accession No.44. Agroinfiltration and graft-inoculation analyses confirmed the resistance of No.44 to ToLCNDV isolates from the Mediterranean and Asian countries. Initial mapping involving two rounds of phenotyping with two independent F2 populations generated by crossing the begomovirus-susceptible cultivar SHF and No.44 consistently detected major quantitative trait loci (QTLs) on chromosomes 1 and 2 that confer resistance to ToLCNDV. Fine-mapping of Cy-1, the dominant QTL on chromosome 1, using F3 populations narrowed the candidate region to a 209-kb genomic segment harboring 24 predicted genes. Among these genes, DFDGD-class RNA-dependent RNA polymerase (CsRDR3), an ortholog of Ty-1/Ty-3 of tomato and Pepy-2 of capsicum, was found to be a strong candidate conferring ToLCNDV resistance. The CsRDR3 sequence of No.44 contained multiple amino acid substitutions; the promoter region of CsRDR3 in No.44 had a large deletion; and the CsRDR3 transcript levels were greater in No.44 than in SHF. Virus-induced gene silencing (VIGS) of CsRDR3 using two chromosome segment substitution lines harboring chromosome 1 segments derived from No.44 compromised resistance to ToLCNDV.
Conclusions
Forward and reverse genetic approaches identified CsRDR3, which encodes a DFDGD-class RNA-dependent RNA polymerase, as the gene responsible for ToLCNDV resistance at the major QTL Cy-1 on chromosome 1 in cucumber. Marker-assisted breeding of ToLCNDV resistance in cucumber will be expedited by using No.44 and the DNA markers developed in this study.