bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-mechanical steering of the optical beam in spectral-domain Optical Coherence Tomography
Authors: Urrego Daniel F. , Machado Gerard J. , Torres Juan P. 
Published: December 2023

Abstract
We demonstrate in a proof-of-concept experiment spectral-domain optical coherence tomography where steering of the optical beam that probes the sample in a transverse scan does not make use of any mechanical element. Steering is done with the help of a spatial light modulator, that introduces a spatially-dependent phase between the two orthogonal polarization components of an optical beam, and some optical elements that control the polarization of light. We demonstrate that making use of the non-mechanical steering system considered here, we can reproduce the main traits of imaging with standard OCT that makes use of mechanical-assisted optical beam steering.
Study for Coumarin Synthesis by Magnetically Recoverable Metal Deposited Ferromagnetic Nano-Green Catalyst
Authors: Shaikh Azaharuddin , Jagdale Amarnath , Dateer Ramesh , Manjul Rajesh , Bolij Yogesh , Shelke Sharad 
Published: December 2023

Abstract
In the present work, magnetic nanoparticles (MNPs) supported by Tin and Magnesium nanomagnetic catalysts were synthesized by a facile synthetic method under aerobic conditions using inexpensive chemicals. This nanomagnetic catalyst was characterized by various characterization techniques such as FE-SEM, XPS, and XRD. The catalytic activity of nanoparticles was tested for the synthesis of various substituted coumarins in good to excellent yields (70-95%). The new method demonstrated is more efficient in terms of the time required and yield obtained compared to methods reported in the literature. The catalyst was found to be reusable for up to five cycles.
Characterization of Waters Rejection of Drinking Water Treatment Station for Proposal Treatment Method for a Recirculation in the Production System: Case of the Me Station (South-east Ivory Coast)
Authors: BENOIT KOUAME KOUAKOU , SERAPHIN KONAN KOUAKOU , SOUMAHORO GUEU , HENRI BRITON BI GOUESSE 
Published: December 2023

Abstract
This study was carried out with the aim of reusing waste water from the Me factory by proposing an innovative and sustainable solution, with a view to reducing the environmental impact of discharges and maximizing the reuse of this precious water resource. This involves proposing a recirculation system which will make it possible to use all of the water discharged while maintaining water quality at levels consistent with environmental standards. To do this, physicochemical and bacteriological analyzes were carried out on the waste water in order to assess their quality. Then, the Drawio software was used to propose a waste water recirculation system. Analyzes revealed that discharge water has the potential to negatively influence the environment due to parameters slightly exceeding established standards, such as turbidity, TSS, total coliforms and lead, generally in the month of May. In addition, the quantity of water discharged represents approximately 15% of the total volume pumped daily. The results of this study therefore highlight the possibilities and advantages of a wastewater recirculation system at the Me plant. The implementation of the proposed recirculation system will make it possible to minimize this impact on the environment and optimize the use of water resources, promoting the saving of these resources at the Me factory.
Enhancing Cloud Gaming QoE Estimation by Stacking Learning
Authors: Soares Daniel Henriques Cézar Miranda , Carvalho Marcos , Macedo Daniel F. 
Published: December 2023

Abstract

The Cloud Gaming sector is burgeoning with an estimated annual growth of morethan 50%, poised to reach a market value of $22 billion by 2030, and notably, GeForce Now, launched in 2020, reached 20 million users by August 2022. Cloud gaming presents cost-effective advantages for users and developers by eliminating hardware investments and game purchases, reducing development costs, and optimizing distribution efforts. However, it introduces challenges for network operators and providers, demanding low latency and substantial computational power. User satisfaction in cloud gaming depends on various factors, including game content, network type, and context, all shaping Quality of Experience. This study extends prior research, merging datasets from wired and mobile cloud gaming services to create an Expanded stacking model. All data gathering involves actual users engaging in gameplay within a realistic test environment, employing protocols akin to those utilized by the Geforce Now cloud gaming platform. Results indicate significant improvements in QoE estimation across different gaming contexts, highlighting the feasibility of a versatile predictive model for cloud gaming experiences, building upon previous stacking learning approaches.
Effects of Microwave Assisted Extraction of Synthetic Compounds (Basil and Epazote) from Jasmine (Jasmine Azoricum L.) Essential Oil to Modifiy Aromatic Properties
Authors: Hirbo Hirbo Geremu , Kuse Kenenisa Abdisa 
Published: December 2023

Abstract
Microwave-assisted extraction (MAE) has been recognized as a technology with many advantages over other extraction methods, such as cost reduction, extraction time, energy consumption, electricity and CO2 emissions. In this study, MAE was used to obtain the essential oils of two types of jasmine (basil and epazote). A factorial design was conducted to determine the effects of weight volume, strength, and heating time on essential oils. The chemical composition, physical properties and results of MAE essential oils were compared with those obtained by steam distillation (SD).
Result: Drug weight and heating time had an effect on the results (p < 0.05). The chemical composition and physical properties of basil and epazote essential oils were not affected by the extraction method (MAE or SD) and similar results were obtained (p<0.05).
"Fight alone" to "win-win cooperation": A quantum stag-hunt game model for analyzing cooperative R&amp;D between enterprises
Authors: Tan Bin-qiang , HUANG Ding-xuan 
Published: December 2023

Abstract

Cooperative R&D has become one of the effective ways for enterprises to improve R&D efficiency and break the bottleneck of R&D resources, but cooperation between enterprises often falls into difficulties due to various factors. Given this, we use the quantum game to study the incentive mechanism of forming cooperative R&D strategic alliances between enterprises, first we establish a stag-hunt game model based on cooperative R&D and independent R&D, then expand the classical strategy to the quantum strategy space, and discuss the strategic characteristics of whether to consider state entanglement, and finally conducts case study to verify the effectiveness of the model. The results show that in the non-entangled scenario or non-quantum scenario, it is difficult to achieve the Pareto optimal result that both sides in full cooperation, because the full-effort one need to bear the risk of betrayal by the on-effort one. However, in the context of maximally entangled quantum game, the risk causing by the defector is borne by himself rather than the cooperator, so both parties will adopt a complete cooperative R&D strategy to achieve a win-win situation. Based on these findings, we establish three incentive mechanisms: information sharing, performance evaluation and responsibility constraint, which provides theoretical guidance for the formation and stability of enterprise cooperative R&D strategic alliance. Furthermore, our research can be extended to other fields, such as the issues of multilateral cooperation between major powers.
GAERS are resistant to migraine-provoking agents: The role of extrasynaptic GABAA receptors
Authors: Alpay Berkay , Cimen Bariscan , Akaydin Elif , Onat Filiz , Bolay Hayrunnisa , Sara Yildirim 
Published: December 2023

Abstract
Background
Migraine headache is a global health concern, and the role of GABA-related mechanisms is ill-defined in migraine pathogenesis. The role of GABAergic system has never been examined in a migraine model with clinically relevant behavioral readouts. We aimed to investigate the susceptibility to valid and depicted migraine-provoking substances in Genetic Absence Epilepsy of Rats Strasbourg (GAERS), in which GABAergic tonus was altered.
Methods
Male Wistar and GAERS rats were administered nitroglycerin (10 mg/kg) or levcromakalim (1 mg/kg). Rats were tested for mechanical allodynia with von Frey monofilaments and light aversion using a dark-light box. Effects of tiagabine (5 mg/kg), baclofen (2 mg/kg), diazepam (1 mg/kg), gaboxadol (4 mg/kg), and muscimol (0.75 mg/kg), ethosuximide (100 mg/kg) or flumazenil (15 mg/kg) on levcromakalim induced migraine phenotype were screened.
Results
In contrast to Wistar rats, mechanical periorbital and hind paw pain thresholds were not reduced in GAERS rats after nitroglycerin or levcromakalim injection. Additionally, GAERS were free of the light aversive effects of these substances as opposed to Wistar rats. Ethosuximide did not reverse the resistant phenotype in GAERS, indicating T-type calcium channel dysfunction did not contribute to this phenomenon. Tiagabine, GABA reuptake inhibitor, prevented levcromakalim-induced mechanical allodynia in Wistar rats, suggesting a key role of enhanced GABA spillover. GABAB receptor agonist baclofen did not alleviate mechanical allodynia. Synaptic GABAA receptor agonist diazepam failed to mitigate levcromakalim-induced migraine phenotype. Additionally, the resistant phenotype by levcromakalim in GAERS was not affected by flumazenil, a synaptic GABAA receptor antagonist. Extrasynaptic GABAA receptor agonists gaboxadol and muscimol successfully inhibited periorbital mechanical allodynia in Wistar rats.
Conclusion
Our study introduces a migraine-resistant rat strain and signifies a critical role of GABAergic system in migraine phenotype. Also, detailed pharmacological evaluation demonstrates extrasynaptic GABAA receptors as a novel drug target with a therapeutic potential in migraine susceptibility.
EFL learners’ attitudes, motivations, and beliefs in Egyptian online learning environments
Authors: Mekheimer Mohamed 
Published: December 2023

Abstract
This study, utilizing a mixed-methods approach, examined the attitudes, motivations, and beliefs of university teachers of EFL college students in online English learning environments. It found that language e-learning practices positively correlated with students' attitudes and motivations. The study also found that learners' beliefs about language learning in e-learning settings significantly influenced teachers' use of technology. The findings emphasize the importance of integrating language e-pedagogy in English education, integrating e-learning and e-teaching technologies, and addressing the motivational component of language e-learning.
Compressive characterization of Ceramic particles filled Metal Matrix Composite
Authors: Kharadkar Rohan , Kulkarni Vedant , Kumar Parshant , Kotecha Karan , Dharmadhikari Saurabh 
Published: December 2023

Abstract
Al/Cu matrix-based composites reinforced with 1 to 10 weight percent of Fe2O3 particles were fabricated using the powder metallurgy method. The specimen was prepared by mixing at 160 rpm for 20 minutes, uniaxially pressed at 60kN and sintered in a furnace at a temperature of 450°C for 1.5 hours with 10°C/min heating rate. The optimum amount of reinforcement was determined by evaluating the compressive strength & Microscopy test is used to characterize the material and microstructure, of the composite. The results and analysis revealed that the compressive strength of Fe2O3 filled composites increases as the percentage of Fe2O3 was increased. Compressive strength also showed variation with the quenching medium. Microscopy test will offer detailed information about the structural characteristics, phase distribution, interface quality, and potential defects within the Alloy Al/Cu with Fe2O3 Metal Matrix Composite. These insights are crucial for optimizing the composite's properties and understanding its behaviour under compressive loads.
Subject classification codes: 140 Composites
Contrastive Active Adaptive Partial Label Learning under Class Distribution Mismatch
Authors: Zhang Aohan , 张 红英 , Dong Kezhen , Sun Qianqian 
Published: December 2023

Abstract

Partial label learning is an important learning framework where each training sample is associated with a candidate label set and its ground-truth label is included in the candidate label set. Semi-supervised partial label learning is defined as a special case of partial label learning problem where the training sample set consists of partially labeled sample subset and unlabeled sample subset. However, there exists the problem of class distribution mismatch, wherein the unlabeled sample set contains many instances out of the target categories. In this paper, we propose a contrastive active adaptive partial label learning method which combines the active partial learning with the contrastive coding. A novel active sample selection strategy is established to use label propagation ability to measure the optimization ability of unlabeled samples to partially labeled samples. Furthermore, to solve the problem of class distribution mismatch, a jointly query score based on contrastive coding is utilized to reduce the queries of unlabeled samples out of target categories. Finally, the above two indicators are combined adaptively to select the most valuable unlabeled samples in target categories for manual labeling and the selected samples will be added to the training sample set to train the new classifier. The performance and effectiveness of our method is evaluated by performing experiments on the actual data set CIFAR10.
Revolutionizing Plant Regeneration: Unleashing Somatic Embryogenesis in Sorghum bicolor (L. Moench) via Immature Embryo and Mature Seed Explants
Authors: Thaddi Bangaru Naidu 
Published: December 2023

Abstract
Sorghum (Sorghum bicolor) has long posed challenges in In vitro culture due to its recalcitrant nature, leading to limited success with regeneration techniques across various genotypes. This study aimed to assess the influence of hormonal treatments on sorghum callus induction and subsequent regeneration using tissue culture methods. Immature embryos and mature seeds were utilized as explant sources, and varying concentrations (0.5, 1.0, 1.5, 2.0, 2.5, and 3.0 mg/L) of the hormones 2,4-D, IAA, BAP, KN, and ZN were employed to induce callus and regenerate six distinct sorghum varieties, namely IS 3477, IS 33095, IS 7005 (non-pigmented), IS 2898, IS 7115, and IS 1202 (pigmented). Callus induction frequencies were markedly distinct among genotypes, with IS 3477 and IS 33095 exhibiting the highest rates, while IS 7115 and IS 1202 showed the lowest. The most significant embryogenic callus induction was observed in IS 3477 (92%) when treated with 2,4-D at 2.5 mg/L and KN at 0.5 mg/L, whereas IS 1202 displayed the lowest induction (48%). Investigation into various cytokinin concentrations revealed that a regeneration medium containing 2.0 mg/L BAP resulted in high regeneration frequencies, particularly in the non-pigmented IS 3477 genotypes, producing the highest number of shoots (20). Furthermore, mature seed explants displayed varying embryogenic callus induction frequencies, with IS 3477 exhibiting the highest (76%) when treated with 2,4-D at 2.5 mg/L and BAP at 0.5 mg/L, while IS 1202 displayed the lowest induction (36%). Optimal regeneration responses were observed with ZN at 1.5 mg/L, with IS 3477 producing the highest shoot count (11). This study elucidated the genotype-specific responses to In vitro protocols across diverse sorghum pigmented and non-pigmented lines. The findings offer valuable insights into the development of high-frequency response profiles, crucial for advancing impending genetic transformation efforts.
Clustering and interfacial segregation of radiogenic Pb in a mineral host-inclusion system: Tracing two-stage Pb and trace element mobility in monazite inclusions in rutile
Authors: Verberne Rick , Reddy Steven M. , Fougerouse Denis , Seydoux-Guillaume Anne-Magali , Saxey David W. , Rickard William D.A. , Quadir Zakaria , Clark Chris 
Published: December 2023

Abstract
Accessory minerals like zircon, rutile and monazite are routinely studied to inform about the timing and nature of geological processes. These studies are underpinned by our understanding of the transfer processes of trace elements and the assumption that the isotopic systems remain undisturbed. However, the presence of microstructures or Pb-bearing phases in minerals can lead to the alteration of the Pb isotopic composition. To gain insight into the relationship between Pb isotopic alterations from inclusions and microstructures, this study focused on inclusions from an ultra-high-temperature metamorphic rutile. The studied inclusions are submicrometer monazites, a common mineral rich in Pb but normally not present in rutile. The sample is sourced from Mt. Hardy, Napier Complex, East Antarctica, an ultra-high-temperature (UHT) metamorphic terrane. By applying correlative analytical techniques, including electron backscatter diffraction mapping, transmission electron microscopy (TEM), and atom probe tomography, it is shown that monazite inclusions are often in contact with low-angle boundaries and yield no preferred orientation. TEM analysis shows the monazite core has a mottled texture due to the presence of radiation damage and nanoclusters associated with the radiation damage defects that are rich in U, Pb, and Ca. Some monazites exhibit a core-rim structure. The rim yields clusters composed of Ca- and Li-phosphate that enclose Pb nanoclusters that are only present in small amounts compared to the core, with Pb likely diffused into the rutile-monazite interface. These textures are the result of two stages of Pb mobility. Initial Pb segregation was driven by volume diffusion during UHT metamorphism (2500 Ma). The second stage is a stress-induced recrystallization during exhumation, leading to recrystallization of the monazite rim and trace element transport. The isotopic signature of Pb trapped within the rutile-monazite interface constrains the timing of Pb mobility to ca. 550 Ma.
A study on pipe failure analysis in water distribution systems using logistic regression
Authors: Karadirek I. Ethem , Kaya-Basar Ebru , Akdeniz Tugba 
Published: December 2023

Abstract

This study presents a pipe failure analysis that aims to identify key factors affecting pipe failure in a pilot study area (PSA). For this purpose, pipe failures that occurred in the PSA were recorded for 2 years. Recorded pipe failures were integrated into the existing geographical information systems of the PSA and then visualized. Then, the logistic regression model that calculates failure probability with unbalanced and small- and medium-sized data was performed to analyze pipe failures. Pipe material, age, diameter, burst pressure, and average water pressure are the factors used in the study. The developed model achieved a success rate of 70.1%, suggesting that it can predict a considerable portion of pipe failures with a relatively satisfactory performance. Findings show that the failure probability of pipes with an age greater than 20 years is 1.675 times higher than that of pipes with an age less than 20 years. Moreover, polyvinyl chloride pipes are 5.265 times and high-density polyethylene pipes are 9.027 times more likely to fail than ductile pipes. Further research should delve into the impacts of the number of service connections, pipe lengths, and traffic load on pipe failures.
A method based on improved ant colony algorithm feature selection combined with GWO-SVR model for predicting chlorophyll-a concentration in Wuliangsu Lake
Authors: Wu Chenhao , Fu Xueliang , Li Honghui , Hu Hua , Li Xue , Zhang Liqian 
Published: December 2023

Abstract

Chlorophyll-a (Chl-a) is an important parameter in water bodies. Due to the complexity of optics in water bodies, it is difficult to accurately predict Chl-a concentrations in water bodies by current traditional methods. In this paper, using Sentinel-2 remote sensing images as the data source combined with measured data, taking Wuliangsu Lake as the study area, a new intelligent algorithm is proposed for prediction of Chl-a concentration, which uses the adaptive ant colony exhaustive optimization algorithm (A-ACEO) for feature selection and the gray wolf optimization algorithm (GWO) to optimize support vector regression (SVR) to achieve Chl-a concentration prediction. The ant colony optimization algorithm is improved to select remote sensing feature bands for Chl-a concentration by introducing relevant optimization strategies. The GWO-SVR model is built by optimizing SVR using GWO with the selected feature bands as input and comparing it with the traditional SVR model. The results show that the usage of feature bands selected by the presented A-ACEO algorithm as inputs can effectively reduce complexity and improve the prediction performance of the model, under the condition of the same model, which can provide valuable references for monitoring the Chl-a concentration in Wuliangsu Lake.
VEGF165b Mutant Promotes the Apoptosis of Murine Breast Cancer Cells
Induced by Paclitaxel by Inducing Tumor Vessel Maturation
Authors: Liang Chen , Li Youwei , Guo Enhui , Bai Shuge , Wang Yan , Zhang Huiyong 
Published: December 2023

Introduction:
The anti-angiogenic agent vascular endothelial growth factor 165b
(VEGF165b) mutant (mVEGF165b), which was developed by our laboratory, has superior antitumor
activity to that of native VEGF165b; however, its mechanism of action and druggability need further
exploration.

Methods:
Using the commercial anti-angiogenic drug bevacizumab as a positive control, the
mechanism and developability of mVEGF165b were evaluated and explored. The Cell Counting Kit-8
assay was performed to evaluate the effects of mVEGF165b and bevacizumab alone on the
proliferation of human umbilical vein endothelial cells (HUVECs). Meanwhile, the inhibitory effects
of mVEGF165b and bevacizumab combined with paclitaxel in a mouse model of breast cancer were
assessed. Immunohistochemistry was used to detect their effects on tumor vascular maturation, and
the terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay was used to detect
the apoptosis of tumor cells.

Results:
In vitro cell experiments confirmed that mVEGF165b inhibited the proliferation of HUVECs
with an efficacy equivalent to that of bevacizumab. mVEGF165b and bevacizumab combined with
paclitaxel significantly delayed the growth of breast cancer in mice. Immunohistochemistry and the
TUNEL assay showed that mVEGF165b and bevacizumab combined with paclitaxel-induced higher
vascular maturity and more apoptosis than paclitaxel alone.

Conclusion:
mVEGF165b showed similar efficacy and mechanism of action as bevacizumab,
indicating its potential to be developed into a safe and effective anti-angiogenic drug.