bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation test study on filling flow law of gangue slurry in goaf
Authors: Liang Bing , Zhao Hanwei , Shi Zhanshan , Sun Weiji , Wang Jian , Fang Shengjie 
Published: August 2023

Abstract
The disposal and utilization of solid waste of coal gangue is one of the main problems in coal mining in China. Injecting coal gangue into goaf in the form of slurry can effectively solve the problems of ground stacking and environmental pollution prevention. In order to obtain the flow law of gangue slurry in the void of the accumulated rock in the goaf, a visualization simulation test device for gangue slurry permeation grouting in the goaf was independently designed. The flow and diffusion characteristics, flow and diffusion velocity changes, void pressure changes, and viscosity changes of three mass concentrations (76%, 78%, 80%) of gangue slurry in the void between caved rock blocks in goaf were studied by visual grouting simulation test. The results show that: (1) The seepage process of gangue slurry in the goaf simulation test is divided into three diffusion forms, namely radial diffusion, axial diffusion, and bidirectional diffusion. The three diffusion forms are interrelated and inseparable. (2) The initial flow velocity of the slurry with different concentrations is different under the same permeation grouting pressure, and the higher the slurry concentration, the smaller the initial flow velocity of the slurry. The velocity of the slurry has a nonlinear relationship with the diffusion distance of the slurry. (3) With the permeation and diffusion of slurry, pressure sensors at different positions are subjected to pressure from bottom to top and enter the pressure boost stage, gradually forming stress peaks. When the slurry exceeds the position of the pressure sensor, the pressure on the pressure sensor is weakened and begins to enter the pressure relief stage, and the stress decline trend gradually becomes gentle with time. (4) The water loss effect occurs during slurry flow interaction with rock mass, resulting in slurry viscosity increasing. The viscosity of the slurry affects the difference in the amount of viscosity change. The research results can provide a certain theoretical basis for the goaf gangue slurry filling project.
Enhancement of Electrocatalysis through Magnetic Field Effects on Mass Transport
Authors: Vensaus Priscila , Liang Yunchang , Ansermet Jean-Philippe , Soler-Illia Galo J. A. A. , Lingenfelder Magalí 
Published: August 2023

Abstract
The catalytic conversion of small molecules into fuels using electrons is essential to achieve a sustainable and carbon-neutral society. However, the performance of current electrocatalytic processes needs significant improvement. Magnetic field effects on electrocatalysis have recently gained attention due to the substantial enhancement of the oxygen evolution reaction on ferromagnetic catalysts. In this context, it is crucial to carefully characterize how magnetic fields affect mass transfer of charged reactants and products at the interfacial level, a phenomenon that occurs even on non-magnetic electrodes and is often overlooked. In this paper, we quantify the primary source of magnetic field effects on mass transport using a specifically designed magneto-electrochemical system. We find that the Lorentz force acting on the electrolyte ions induces a vortex-type motion around the catalyst surface, improving the mass transport. This effect is not limited to reactions involving gas-phase reactants/products. The enhancement caused by the mass transport effect is small in the case of reactions with high reactant availability, such as the oxygen evolution reaction (OER) but it is particularly advantageous where the availability is hindered, such as oxygen reduction reaction (ORR). We report activity boosts of more than 50% in the ORR induced by the magnetic field on non-magnetic interfaces. Our results allow direct visualization and quantification of the motion of OH− ions under a magnetic field, highlighting the relevance of magnetic field effects on electrocatalytic processes, especially the diffusion limited reactions, and offer new opportunities for developing more efficient and sustainable energy conversion technologies.
Targeting multiple SARS-CoV-2 domains by Indian medicinal plants – A Drug repurposing study using molecular docking, ADME-Tox analysis
Authors: Patil Niranjan Nandkumar , Jadhav Rachna Shashikant , Mallari Praveen , Patil Rajesh , Saha Bhaskar 
Published: August 2023

Abstract
The rapid transmission of SARS-CoV-2 and its capability to spread in humans has brought about the development of new approaches for treatment against COVID-19. Drugs and vaccines available currently either target the virus ectodomain or endodomain. Thus, repurposing the use of natural products that target more than one part of the virus is the fastest option available for treatment. Plants are a repository of important constituents with proven significant efficacy against many human viruses. The present study focused on employing computational approaches for screening phytochemicals from 4 Indian medicinal plants, by targeting more than one part of SARS-CoV-2 for the identification of natural antiviral therapeutics to determine their feasibility as potential inhibitors of target viral proteins. Here, we used a multi-target, ligand virtual screening study on 9 target proteins important in SARS-CoV-2 lifecycle, namely Spike glycoprotein, Nucleocapsid phosphatase, Spike protein ACE-2, Non-structural protein 10 and 12, RdRp, Envelope protein, Main protease/3CL protease, and Papain like proteas. Out of the 58 plant phytochemicals screened, Z-5-methyl-6- heneicosen-11- one from Piper nigrum, Arjunetin from Terminalia arjuna, Rutin from Azadirachta indica and Makisterone A from Tinospora cordifolia exhibited highest binding affinity with 9 viral targets. In addition, ADMET analysis indicated Ursodeoxycholic acid, Ellagic Acid, Epicatechin and Isocolumbin, Ecdysterone, Columbin from Piper nigrum, Terminalia arjuna, Azadirachta indica, and Tinospora cordifolia have good binding energetics with the target viral proteins. The research thus enlightens the suitable pharmacological properties and the anti-viral activity of potential medicinal plant molecules for human administration using extensive in-silico techniques.
Elucidation of chaperone ubiquitin code in response to Huntingtin aggregation
Authors: Panda Prajnadipta , Sarohi Vivek , Basak Trayambak , Kasturi Prasad 
Published: August 2023

Abstract
Huntington's disease (HD) is one of the prominent neurodegenerative diseases, characterized by the progressive decline of neuronal function, due to the accumulation and aggregation of misfolded proteins. Pathological progression of HD is hallmarked by the aberrant aggregation of the huntingtin protein (HTT) and subsequent neurotoxicity. Molecular chaperones (heat shock proteins, HSPs) play a pivotal role in maintaining proteostasis by facilitating protein refolding, degradation, or sequestration to limit the accumulation of misfolded proteins during neurotoxicity. However, the role of post-translational modifications such as ubiquitination among HSPs during HD is less known. In this study, we aimed to elucidate HSPs ubiquitin code in the context of HD pathogenesis. In a comprehensive proteomic analysis, we identified site-specific ubiquitination events in HSPs associated with HTT in HD-affected brain regions. To assess the impact of ubiquitination on HSPs during HD, we quantified the abundance of ubiquitinated lysine sites in both the rat cortex/striatum and in the mice primary cortical neurons. Strikingly, we observed highly tissue-specific alterations in the relative ubiquitination levels of HSPs under HD conditions, emphasizing the importance of spatial perturbed post-translational modifications (PTMs) in shaping disease pathology. These ubiquitination events, combined with other PTMs on HSPs, are likely to influence the phase-transitions of HTT. In conclusion, our study uncovered differential site-specific ubiquitination of molecular chaperones and offers a comprehensive view of the intricate relationship between protein aggregation, and PTMs in the context of Huntington's disease.
Density Functional Theory Investigation of MnZn2X2 (X=P/As) Compounds: Promising Candidates for Next-Generation Energy Harvesting Devices
Authors: Iqbal M. Waqas , manzoor mumtaz , Manzoor Mumtaz , Asghar Mazia , Sadique Iqra , Wabaidur Saikh Mohammad , Tawfeek Ahmed M , Behera Debidatta , Ansari Mohd Zahid 
Published: August 2023

Abstract

Zinc-based MnZn2X2 (X=P, As) compounds are being researched for thermoelectric uses. Applying the full potential augmentation plane wave system (FP-LAPW) and the first-principles technique, the essential structural, optoelectronic, and transport features of MnZn2X2 (X=P/As) compounds are being identified. Optimization studies have verified structural stability. A 1.26 eV and 0.74 eV essential provide energy bandgap (Eg) are seen in band structure estimated using the modified Becke-Johnson potential (mBJ) for MnZn2X2 (X=P/As) compounds. The DOS spectra show that the Mn state is present in the conduction band while X (P, As) states are represented in the valance band. The optical response of materials was evaluated in terms of dielectric constants, refractive index, absorption, and conductivity versus energy (eV) 12 eV. We demonstrated that the visible region's intriguing solid absorbed the descending radiation, providing a potential candidate for optoelectronics applications. Using the traditional Boltzmann transport theory, we assessed transport characteristics such as the coefficient of Seebeck (S), electrical () as well as thermal conduction (), the power factor (PF) versus temperature, carrier concentration, as well as chemical potential. Compounds of MnZn2X2 (X=P, As) have estimated Seebeck coefficients of 260 VK-1 , 225VK-1 at 300 K and 235 VK-1 at 800K. The maximum power factor values for MnZn2X2 (X=P, As) compounds vs temperature is achieved at 800 K 1.75× 10 11 W/K 2 m.s and 1.43×10 11 W/K 2 m.s, respectively. This group was projected to be advantageous for usage in solar and thermoelectric purposes because of its great optoelectronic characteristics and remarkable PF values.
Enhancing Multi-Contrast MRI Synthesis: A Novel 3D Dual-CycleGAN Approach
Authors: Mahboubisarighieh Ali , Shahverdi Hossein , Nesheli Shabnam Jafarpoor , Niknam Milad , Torkashvand Mohanna , Rezaeijo Seyed Masoud 
Published: August 2023

Abstract
This study introduces an innovative approach to synthesizing 3D Multi-Contrast MRI images utilizing the 3D Dual-CycleGAN model. The model's performance is assessed using MRI data from the Multi-modal Brain Tumour Segmentation Challenge (BraTS) 2021 dataset, encompassing T1W, T1c, T2W, and FLAIR sequences. The 3D Dual-CycleGAN model effectively learns the transformation between T1W images and the desired target modalities, leading to enhanced fine details and overall quality of the synthesized images. Incorporating advanced techniques and a comprehensive objective function, the proposed method encompasses voxel-wise, gradient difference, perceptual, and structural similarity losses. These loss functions, combined with adversarial and dual cycle-consistency losses, play a pivotal role in producing lifelike and visually captivating representations. For performance evaluation, a set of five metrics (MAE, PMAE, RMSE, PCC, PSNR, and SSIM) are employed to compare the synthesized images against their authentic counterparts. Empirical findings demonstrate the prowess of the 3D Dual-CycleGAN model in generating T1c images from T1W inputs, exhibiting minimal average discrepancies (MAE of 2.8±2.61) and strong similarity (SSIM of 0.82±0.28). Moreover, the synthesis of T2W and FLAIR images yields promising results, showcasing acceptable average discrepancies (MAE of 3.87±3.32 for T2W and 3.82±3.32 for FLAIR) and reasonable similarities (SSIM of 0.82±0.28 for T2W and 0.80±0.29 for FLAIR) when compared to the original images. These outcomes underscore the effectiveness of the 3D Dual-CycleGAN model in generating high-quality images. The implications of this achievement are substantial across various applications within the realm of medical imaging.
Decade of mass drug administration reduces Lymphatic filariasis and parasite density in Billiri and Kaltungo districts of Gombe State, Nigeria
Authors: David Yila Lakabra , Abarshi Musa Muawiya , Mada Sanusi Bello , Babayo Christy , Ndams Iliya. Shehu 
Published: August 2023

Abstract
Background: Lymphatic filariasis is a neglected tropical disease caused by mosquito-borne nematodes: Wuchereria bancrofti, Brugia timori, and Brugia malayi, and it affects over 120 million people worldwide. The Global Program for Elimination of Lymphatic Filariasis, in 2000, initiated the mass drug administration (MDA) to interrupt parasite transmission in endemic areas. This study employed anti-filarial antibodies (AFA), circulating microfilariae, and pWb12 DNA repeats to assess the impact of ten years MDA and prevalence of W. bancrofti in Billiri and Kaltungo LGAs of Gombe State, Nigeria.
Methodology: All MDA data were collected from the Gombe State Primary Health Care Board. A total of 394 individuals from Billri and Kaltungo districts were selected for anti-filarial antibody tests from 10 districts between April-August 2022. Blood was collected between 10 pm- 2 am and screened for microfilariae at 100X magnifications using Knott’s microscopy test. Mosquitoes were also collected using CDC light traps and subjected to DNA extraction along with collected blood samples. Nested polymerase chain reaction (PCR) was performed to amplify pWb12 DNA repeats and amplicons were electrophoresed on 1.5% agarose gel.
Findings: The data showed 60-88% ten years MDA coverage in 194 communities studied. Prevalence by AFA was 1.8% (7/394) immunoglobulin G (IgG) but negative for IgM. Microscopy by Knott’s test detected no microfilariae in all blood samples and Nested-PCR showed no amplified pWb12 DNA repeats. Overall, AFA data revealed that the areas were previously infected as evidenced by 1.8% IgG positives, but there were no active infections, as all individual blood samples were amicrofilaremic by microscopic examination, further confirmed by negative PCR results.
Conclusions: Therefore, this study suggests high effectiveness of the ten years MDA of Albendazole against lymphatic filariasis. It also reports the absence of the disease, with antigenemia and fileremia prevalence less than 1% threshold required for the cessation of MDA, and has provided valuable information on the status of Lymphatic filariasis in Billiri and Kaltungo districts of Gombe State, Nigeria.
Primitive-based Learning Model for Intent Detection in Human-AI Agent Negotiation
Authors: Waseem Shahid , Shoaib Muhammad , Arshad Shazia 
Published: August 2023

Abstract
Intent detection task is one of the core problems in the natural language understanding (NLU) as it enables the conversational agents to comprehend the human language for meaningful interaction. But human-AI agent communication is not fully rational due to the dynamic behaviour of the human. Several research works have been carried out to ascertain intent detection methods for social media (Twitter, Facebook) chat, email conversation, and product reviews etc. However, we cannot deploy existing intent detection methods in a real-time human-AI agent negotiation scenario. In this article, we present the first primitive-based learning model, which analyses human (buyer) dynamic behavioral patterns at content level, and automatically predict their purchase or non-purchase intent during a bilateral business negotiation. Thereby, by evaluating and keeping track of two key human behaviors “affective” & “disappointment”, an AI agent can therefore, better comprehend the human intent and engage them in the negotiation, and achieve more agreements (deals). We employ negotiation primitives by setting them to pertinent (human-human) communication units for enhancing the cognition and decision-making capability of AI-agents and evaluate its performance on various machine learning models including BERT. With 93% accuracy, the proposed model itself has proven to be a more efficient method for classifying e-negotiation behavioral patterns.
Natural radioactivity in Al-Lajjun region Jordan soil by gamma-ray spectroscopy
Authors: Abu_kharma Mahmoud , Rawashdeh Sokainah , El-Hasan Tayel 
Published: August 2023

Abstract
Activity concentrations of primordial radionuclides in soil samples collected from the Al-Lajjun region were measured using a γ-ray spectrometry system using pure germanium (HPGe) detector in a low background configuration. The mean activity concentrations for 40K, 226Ra, 232Th, 238U, 235U, and 241Am at different locations of Al-Lajjun/Karak/Jordan were found to be in the range of 12–560, 234–6037, 4.3–28.4, 459-54147, 43-3656, 43-3332 Bq/Kg, respectively. The obtained values of some samples are much greater than the world average values except for 40K and 232Th. Radium equivalent activity, absorbed dose rate, and annual effective dose equivalent were calculated for assessing the assessment of radiological risk. The external hazard value (Hex) is between 0.638 and 16.316. In the present study. 238U concentration is much higher than the acceptable value reported by UNSCEAR-2000.
Person Re-identification Using Soft Biometrics
Authors: Moussi Fouaze , Ouamane Abdelmalik , Ouafi Abdelkrim 
Published: August 2023

Abstract

Pedestrian characteristics like bags, gender, clothes, or short hair might affect in identifying people in video surveillance. Due to variation in poses, illumination, background, and camera views, the fundamental problem in pedestrian attribute detection is the significant variation in visual manifestation and position of attributes. In this work, we use soft biometrics and appearance features to match people across cameras. The Convolutional Neural Network (CNN), the effective feature representation named Local Maximal Occurrence (LOMO), and the hier-archal Gaussian descriptor algorithm (GOG) are all being utilized to increase the performance of re-identification (re-ID). On the other hand, we applied soft biometric (SB) attributes to improve our system’s performance. The SB attributes are identified, and attribute-based distance scores are calculated between pairs of images (probe, gallery). The results based on soft biometric attributes can be used to define probe and gallery topics at a high level. We applied then the Random Forest (RF) clas-sifier as the primary classifier and a metric learning approach named Cross-view Quadratic Discriminant Analysis (XQDA) to compute the similarity between the probe and the gallery. The experimental results of our approach are evaluated on the VIPeR dataset. The results demonstrate that the SB approach gives promising potential and superior performance to its conventional counterpart methods (without soft).
BGOA-TVG: A binary grasshopper optimization algorithm with time-varying Gaussian transfer functions for feature selection
Authors: Li Mengjun , Luo Qifang , Zhou Yongquan 
Published: August 2023

Abstract
Feature selection aims to select crucial features to improve classification accuracy in machine learning and data mining. In this paper, a new binary grasshopper optimization algorithm using time-varying Gaussian transfer functions (BGOA-TVG) is proposed for feature selection. Compared with the traditional S-shaped and V-shaped transfer functions, the proposed Gaussian time-varying transfer functions has the characteristics of fast convergence speed and strong global search capability to convert the continuous search space to the binary one. The BGOA-TVG is tested and compared to S-shaped, V-shaped binary grasshopper optimization algorithm and five state-of-the-art swarm intelligence algorithms in feature selection. The experimental results show that BGOA-TVG has better performance in UCI and DEAP datasets for the feature selection.
A case report of splenic malignant tumor originating from liver
Authors: Shen Lei , Xu Yechuan , Li Jun , Qian Yeben , Yang Zixuan 
Published: August 2023

Abstract
Splenic tumors are infrequently encountered in clinical practice, with a metastatic tumor incidence estimated to be approximately 2%-4% of all splenic tumors. Metastatic tumors originating from the liver are even more uncommon. Given the scarcity of reported cases and limited literature on splenic tumors, particularly in recent years, clinicians face significant challenges in effectively managing this disease. In this report, we present a case of a malignant splenic tumor originating from the liver. The patient, a 58-year-old male, was admitted to our hospital over a week after the identification of a splenic mass. Notably, the patient had previously undergone liver cancer surgery at our institution two years prior. Based on the patient's clinical presentation, physical examination findings, and additional diagnostic tests, we performed a surgical procedure known as "left outer lobe resection of liver + splenectomy + cholecystectomy". The postoperative pathological analysis confirmed the presence of recurrent hepatocellular carcinoma with splenic metastasis. Combining domestic and international literature, we now report a case of splenic malignancy of hepatic origin. In this case report, we aim to present its differential diagnosis and treatment options for clinicians' reference.
Impact of isoform and Cys-thiol modifications of apolipoprotein E on the LRP1-mediated metabolism of triglyceride-rich lipoproteins
Authors: Matsuura Hiroto , Akahane Shogo , Kaido Takahiro , Kamijo Tomu , Sakamoto Kenta , Yamauchi Kazuyoshi 
Published: August 2023

Abstract
Background
The low-density lipoprotein (LDL) receptor-related protein (LRP)1 participates in the metabolism of apolipoprotein (apo) E-containing lipoproteins; however, the details of its function have not been fully elucidated.
Methods
We investigated the effects of the isoform and modifications of the cysteine (Cys)-thiol of apoE on LRP1-mediated metabolism using a cell-based assay for the interaction between apoE-containing fluorescence-labeled emulsion particles (apoE-F-EP) and human fibroblasts expressing the LRP1 and lacking the LDL receptor.
Results
Among the three isoforms, apoE3-F-EP were most effectively bound to LRP1 and were catabolized. ApoE2-F-EP exhibited the lowest affinity to LRP1 but were significantly catabolized, whereas apoE4-F-EP were sufficiently bound to LRP1 but showed the lowest catabolic capability. Redox modifications of Cys112-thiol and Cys158-thiol had an antagonistic effect on the LRP1-mediated interaction of apoE-F-EP. The Tris (2-carboxyethyl) phosphine-reduction enhanced the binding and suppressed the catabolism of apoE3-F-EP, but had no effect on apoE2-F-EP. Interestingly, the formation of disulfide-linked complexes with apoAII suppressed binding, but enhanced the catabolism of apoE2-F-EP.
Conclusions
Redox modifications of apoE-Cys-thiol may modulate the LRP1-mediated metabolism of apoE2 or apoE3 containing lipoproteins, whereas apoE4, which has no Cys, essentially lacks this function. The failure or deficiency of this regulatory function may be a critical trigger for the development of dyslipidemia and related atherosclerosis.