bluuebunny/crossref_metadata_2025_split huggingface dataset:
Computing Isogenies of Power-Smooth Degrees Between PPAVs
Authors: Riquelme Edgardo , Pizarro-Madariaga Amalia , Chi-Domínguez Jesús-Javier 
Published: December 2023

Abstract
The wave of attacks by Castryck and Decru (Eurocrypt, 2023), Maino, Martindale, Panny, Pope and Wesolowski (Eurocrypt, 2023) and Robert (Eurocrypt, 2023), highlight the destructive facet of calculating power-smooth degree isogenies between higher-dimensional abelian varieties in isogeny-based cryptography. Despite those recent attacks, there is still interest in using isogenies but for building protocols on top of higher-dimensional abelian varieties. Examples of such protocols are Public-Key Encryption, Key Encapsulation Mechanism, Verifiable Delay Function, Verifiable RandomFunction, and Digital Signatures. This work abstracts and proposes an extension of the strategy technique by Jao, De Feo and Plˆut(Journal of Mathematical Cryptology, 2014) to give an efficient generic algorithm for computing isogenies between higher-dimensional abelian varieties with kernels being maximal isotropic of power-smooth degree. To illustrate the impact of using such strategy technique, we draft our experiments on the computation of isogenies over two-dimensional abelian varieties determined by a maximal isotropic subgroup of torsion with a power of two or three. Our experiments illustrate a speed-up of 1.25x faster than the state-of-the-art (about 20% of savings)
Effect of Coal Pick Excavation on Tunnel Stability Constituent Rock Parameters
Authors: Nata Refky Adi , Ren Gaofeng , Tanjung Ardhymanto Am , Fadhilah Fadhilah , Syahmer Verra 
Published: December 2023

Abstract

Underground mining is a mining method in which all mining activities or activities are carried out below the surface of the earth. The purpose of this study is to analyze the quality of rock mass in the tunnel, in terms of the physical, mechanical, and dynamic properties of the rock, as well as observe the influence of coal pick hammer vibration on the stability of the tunnel. and determine supporting recommendations in tunnel 9. The Pundit Test for coal sample with R2 = 0.9023 is obtained. The correlation P-wave with index strength got R2 = 0.8977. For correlation between P-wave and Schmidt Hammer Rebound Number got R2 = 0.9699. Tunnel support recommendation for the AICJ-09 Tunnel with “Q” value of 1.8 and 1.6, it belongs to the poor rock class. Microtremor measurement got the highest vibration value occurred at station 11, where 2 high vibration values ​​were found, namely 0.159 m/s2 and 0.261 m/s2. This happens because the vibration of the coal pick increases because it is influenced by coal transportation activities and there are also additional vibrations originating from the compressor machine working around station 11. Vibration causes a decrease in the value of the tunnel safety factor. The analysis's findings showed that the safety factor's value had decreased. However, the safety factor is still considered safe against tunnels. Where the standard tunnel safety factor of 1 is said to be a stable tunnel.
The Expansion of Spodoptera frugiperda (Lepidoptera: Noctuidae) Under Climatic Change and Challenges to Global Food Security
Authors: Ragab Sanad H. , Tyshenko Michael G. 
Published: December 2023

Abstract

Spodoptera frugiperda (J.E.Smith) (Lepidoptera: Noctuidae) commonly known as the fall armyworm (FAW), is a serious maize and sorghum pest endemic to North and South America. Recently, the insect has invaded most of Africa, China and the Tropics where it is now considered a serious threat to small farm holder productivity and to local food security. The work presented details an assessment of the global invasion risk of S. frugiperda using 19 bioclimatic variables, altitude and land cover. We calculate Gain, Unsuitable, Stable and Loss of habitat for S. frugiperda comparing four future scenarios against the current baseline scenario. The results show that under various habitat suitability scenarios S. frugiperda will continue to be invasive and endemic. It emphasizes the ongoing need for adaptive and integrated pest management in recently invaded regions as a way to manage this insect, minimize annual crop loss and to maintain global food security into the future.
BMSCs-derived exosome miR-29a-3p improved the stability of rat myasthenia gravis by regulating Treg/Th17 cells
Authors: Tang Zhongben , Chen Meiqiu , Chen Chen , Fan Chao , Huang Jiaxian 
Published: December 2023

Abstract
Myasthenia gravis (MG) is an autoimmune disorder mediated by antibodies targeting the acetylcholine receptor. Exosomal-derived miRNAs have been implicated in immune modulation and the pathogenesis of autoimmune diseases. However, the expression and functional role of exosomal miR-29a-3p in MG remains poorly understood. This study aimed to investigate the therapeutic effect and mechanism of miR-29a-3p derived from stem cell exosomes (Exos) on experimental autoimmune myasthenia gravis (EAMG) rats. EAMG was induced in rats by injection of the subunit of the rat nicotinic anti-acetylcholine receptor (AChR) R97-116 peptide. In addition to the control group, EAMG rats were randomly allocated into the following groups: EAMG model group, Exo group, Exo-NC-agomir group, and Exo- miR-29a-3p-agomir group. Our results found that BMSCs-Exo promoted miR-29a-3p expression in gastrocnemius of EAMG rats. Bone marrow mesenchymal stem cells (BMSCs) derived exosome miR-29a-3p improved the hanging ability and swimming time of EMGA rats and weakened the degree of muscle fiber atrophy. Furthermore, exosomes from miR-29a-3p overexpressing BMSCs reduced the content of AchR-Ab in the serum of EAMG rats. BMSC-derived exosome miR-29a-3p further suppressed the expression of IFN-γ and enhanced the expression of IL-4 and IL-10 in the serum of EAMG rats by restoring the Th17/Treg cells balance. Therefore, BMSCs-derived exosome miR-29a-3p improved the stability of rat myasthenia gravis by regulating Treg/Th17 cells. It may be an effective treatment for MG.
Optimizing Medical Care during a Nerve Agent Mass Casualty Incident using Computer Simulation
Authors: De Rouck Ruben , Benhassine Mehdi , Debacker Michel , Utterbeeck Filip Van , Dhondt Erwin , Hubloue Ives 
Published: December 2023

Abstract
Introduction
Chemical mass casualty incidents (MCIs) pose a substantial threat to public health and safety, with the capacity to overwhelm healthcare infrastructure and create societal disorder. Computer simulation systems are becoming an established mechanism to validate these plans due to their versatility, cost-effectiveness and lower susceptibility to ethical problems.
Methods
We created a computer simulation model of an urban subway sarin attack analogous to the 1995 Tokyo sarin incident. We created and combined evacuation, dispersion and victim models with the SIMEDIS computer simulator. We analyzed the effect of several possible approaches such as evacuation policy (‘Scoop and Run’ vs ‘Stay and Play’), three strategies (on-site decontamination and stabilization, off-site decontamination and stabilization, and on-site stabilization with off-site decontamination), preliminary triage, victim distribution methods, transport supervision skill level, and the effect of search and rescue capacity.
Results
Only evacuation policy, strategy and preliminary triage show significant effects on mortality. The total average mortality ranges from 14.7 deaths in the combination of off-site decontamination and Scoop and Run policy with pretriage, to 24 in the combination of onsite decontamination with the Stay and Play and no pretriage.
Conclusion
Our findings suggest that in a simulated urban chemical MCI, a Stay and Play approach with on-site decontamination will lead to worse outcomes than a Scoop and Run approach with hospital-based decontamination. Quick transport of victims in combination with on-site antidote administration has the potential to save the most lives, due to faster hospital arrival for definitive care.
Efficient activation of H2O2 by C60/MIL-101(Fe,Cu) composite for degradation of methylene blue under visible light
Authors: Zhou Zhuyou , Ji Yufeng , Wang Yong , Liu Menghe , Xu Ying , Liu Ruijie , Yang Mingjie , Zou Congyang 
Published: December 2023

Abstract

In this study, the carbon-doped bimetallic organic framework C60/MIL-101(Fe,Cu) catalyst was prepared for the first time via solvothermal synthesis method. The catalysts were characterized using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), and a series of other instruments. At the same time, methylene blue (MB) was used as the target degradation material to investigate the catalytic performance of H2O2 for MB degradation under visible light. The degradation experiment showed that the removal rate of C60/MIL-101(Fe,Cu) to MB reached 99.2% within 80 min. Furthermore, cyclic experiments demonstrated good stability and reusability of the catalyst. Finally, the degradation mechanism of the reaction was deduced by quenching experiment, UV-vis diffuse reflection and mott-Schottky plots. The results show that hydroxyl radical (·OH) and superoxide radical (·O2-) play a major role in the degradation of MB during photo-Fenton process.
The Potential of CD4+ T cells ATP level to indicate the Progression in NSCLC Patients
Authors: Ye Weipeng , Hou Kailian , tao Na , Li Weiyi , Tan Zhiqiong , Huang Qunfeng , yang Dongheng , Lin Haoxin , Deng Zihao , Xia Yuanyuan , Yu Guifang 
Published: December 2023

Abstract
Purpose
A new immune function assessment method (sATPCD4) has been proposed to monitor the immune suppression status in non-small cell lung cancer (NSCLC) patients after chemotherapy. In this study, we attempted to determine the utility of this functional assay in assessing the risk of disease progression in NSCLC patients.
Methods
A retrospective analysis of clinical data from 89 advanced NSCLC patients who received chemotherapy at the Fifth Affiliated Hospital of Guangzhou Medical University from March 15, 2022, to March 30, 2023. These patients were divided into a disease progression group (PD, n = 21) and a disease stability group (Non-PD, n = 68). Clinical data between the two groups were compared. Receiver operating characteristic (ROC) curves were plotted to determine the thresholds of baseline peripheral blood parameters for predicting disease progression occurrence. Multivariate logistic regression analysis was employed to investigate the relationship between peripheral blood markers and the incidence of disease progression.
Results
After chemotherapy, there were significant differences in the mean values of WBC, nATPCD4, and sATP CD4 between patients who experienced disease progression (PD) and those who remained stable (Non-PD) (P < 0.05). In the PD group, sATPCD4 levels significantly decreased post-chemotherapy, while in the Non-PD group, sATPCD4 levels showed an increase. The threshold for predicting disease progression after chemotherapy, as determined by ROC analysis, was 224.5 ng/ml (AUC = 0.887, 95% CI, 0.811–0.963). Patients in the low-immunity group (ATP < 224.5 ng/ml) were more likely to experience disease progression compared to the high-immunity group (ATP > 224.5 ng/ml) (P < 0.0001). Multivariate logistic regression analysis indicated that sATPCD4 levels were an independent predictor of disease progression in NSCLC patients
Conclusions
Immune function testing has the potential to assess the risk of disease progression in NSCLC patients
The Predictive Role of Neutrophil-Percentage-to-Albumin Ratio (NPAR) in Cancer Mortality: Insights from National Health and Nutrition Examination Survey
Authors: Li Xinyang , Wu Meng , Chen Minxin , Liu Rufei , Tao Qingxu , Hu Yun , Yu Jinming , Chen Dawei 
Published: December 2023

Abstract
Background
Neutrophils interact with tumor cells, potentially exacerbating cancer progression, Concurrently, diminished albumin levels are indicative of a poor cancer prognosis. The neutrophil-percentage-to-albumin ratio (NPAR) has been used in prognostic assessments of non-cancerous diseases, yet its relationship with cancer mortality remains unexplored. Therefore, we explored the correlation between NPAR and both cancer incidence and mortality, utilizing data from the National Health and Nutrition Survey (NHANES).
Methods
This study leveraged comprehensive NHANES data spanning 2005–2016. We analyzed the relationship between NPAR and cancer incidence and mortality using weighted Logistic and Cox regression models, alongside trend test. Restricted cubic spline analysis was employed to investigate NPAR’s nonlinear relationship with cancer mortality. Furthermore, Kaplan-Meier survival analysis was utilized on NHANES and institutional clinical data to assess patient prognoses across varying NPAR levels.
Results
Elevated NPAR was significantly correlated with increased cancer mortality risk in the adjusted model (p < 0.05), with higher NPAR values correlating with greater risk (p-trend < 0.05). However, no significant association between NPAR and cancer incidence was observed (p > 0.05). Our analysis further identified a non-linear relationship between NPAR and cancer mortality (p-nonlinear < 0.05). The relationship is characterized by an optimal NPAR value, correlating with the lowest hazard ratio (HR). Deviations from this optimal NPAR result in increased cancer mortality risk (p < 0.05). Kaplan-Meier analysis indicated superior survival rates in patients with lower NPAR values compared to those with higher NPAR values (p < 0.05).
Conclusions
Our findings indicate a positive correlation between NPAR and cancer mortality risk, independent of cancer incidence. NPAR emerges as a promising biomarker for predicting cancer mortality, warranting further validation through prospective studies.
Structural, spectral and dielectric properties of PVDF-HFP/Cobalt ferrite composite films
Authors: Gunti Himanandini , Simhachalam Narendra Babu , Pola Someshwar 
Published: December 2023

Abstract
PVDF-HFP/CFO composite films consisting of a poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) copolymer as the ferroelectric matrix and cobalt ferrite (CoFe2O4, CFO) nanoparticles as the ferromagnetic component were fabricated using a solution casting method. The CFO nanoparticles were synthesized using the coprecipitation approach, followed by calcination at a temperature of 850°C to obtain the pure phase. To fabricate PVDF-HFP/CFO composite films, CFO nanoparticles were loaded into PVDF-HFP with different weight % values ranging from 5, 10, 15, 20, 25, 30 and 40.The fabricated PVDF-HFP/CFO composite films were subjected to analysis in terms of their structural, morphological, spectral and dielectric properties. The CFO phase formation and its loading in composites was characterized using X-ray diffraction (XRD), while the surface morphology of the synthesized compounds was analyzed using scanning electron microscopy (SEM).The XRD analysis suggested the presence of the \(\beta\)-phase in PVDF-HFP as well as in the composites. The SEM micrographs revealed the spherulite morphology of the PVDF-HFP/CFO composites. The Fourier transform-infrared spectroscopy (FT-IR) measurement results displayed the presence of the \(\beta\)-phase, and the peak related to the \(\beta\)-phase showed an increase upto 20% CFO loading, which also reflects the enhancement of the dielectric constant. UV-Visible absorption spectra were employed to find the direct bandgap energy of the polymer composites using Tauc’s relation. The room temperature dielectric constant measurements displayed a dielectric constant value of 9.5 (PVDF-HFP), which increased to 80.82 (20% CFO-loaded composite) and later decreased as the CFO loading increased. The results were discussed in detail.
Impact of Urbanization on Urban Heat Island Intensity-A Case Study of Larkana City, Sindh, Pakistan
Authors: Lanjwani Muhammad Umar , Lanjwani Muhammad Farooque , Hussain Muhammad , Sodhar Khalida 
Published: December 2023

Abstract

The climate change is one of the important problems of the current situation in the world. The urban heat island intensity is a major problem of increasing the climate conditions in developed and underdeveloped countries. In the current situation, the growth of the population in Pakistan causes overpopulation in the cities. The population of Larkana has been increasing rapidly day by day. The purpose of this research was to investigate the impact of Urbanization on the Climate. In this proposed research study, two types of data were collected (i) satellite data which was downloaded from the United States Geological Survey (USGS) from 1990 and 2023. (ii) Second was from secondary sources data was collected from the Pakistan Statistics Bureau. The land surface temperature was found from satellite data from 1990 to 2023 and that comparison to each other. The temperature in 2000 was 4.25 0C more than the 1990 summer season temperature and in 2023 was 4.73 0C above than 2023 summer season temperature. The temperature in 2000 was 3.15 0C greater than 1990 in winter season temperature and in 2022 was 1 0C higher than 2010 in winter season temperature. Recently census reported above 735,210 populations lived in the Tehsil of Larkana. The shape file of the Larkana classification total area showed 41 Square kilometers. The supervised classification showed that settlement increased from 8 Square kilometers in 1990 to 23 Square kilometers in 2023. The correlation was shown between urban expansion and the growth of population strongly positive to each other. Another finding relationship between urban heat islands with urban expansion that correlation showed a positive relationship between each other.
A Novel MCDM method using Gradual similarity degree with tie braking technique for preference ranking in Pythagorean hesitant fuzzy environment
Authors: Arya Priyanshu , Pal A. K. 
Published: December 2023

Abstract
Multicriteria decision-making (MCDM) plays a vital role in the process of prioritizing preferences. However, the inherent subjectivity in human decision-making inevitably introduces ambiguity into the MCDM process. To address this uncertainty and vagueness, the concept of hesitant Pythagorean fuzzy sets (PHFS) has been developed, offering a means to incorporate hesitation and presenting various intriguing theoretical and practical properties as a generalization of Pythagorean fuzzy sets. In this study, we propose a novel MCDM method that effectively tackles this problem by calculating the loss value and goodness value of each alternative using similar sets within the PHFS domain. The proposed approach combines the loss value and goodness value using an aggregate operator, wherein the goodness value is determined by the Gradual Similarity degree, and a score function is employed to determine the final ranking. Additionally, we introduce a new tie-breaking method for cases of a tie condition. To demonstrate the viability of our approach, we consider two real-world instance problems and compare the findings with those of the Fuzzy TOPSIS method and other existing methods. The results indicate that our proposed approach outperforms the other methods, clearly demonstrating the effectiveness and practicality of the developed MCDM method. In conclusion, this paper presents a novel MCDM method that incorporates hesitant Pythagorean fuzzy sets, effectively addressing ambiguity and subjectivity in the decision-making process. The application of our approach to real-world problems and its comparison with existing methods confirm its effectiveness and practicality, contributing to the advancement of reliable and accurate decision-making techniques in the presence of uncertainty and subjectivity.
Using chatbots to develop multiple-choice questions. We got evidence, but we ain't there yet!
Authors: Flores-Cohaila Javier A. , Calderón C. Daniel Ramirez , Castro-Blancas C. Iris , Vela-Pandal Ericka , Cruz-Galán Janith Paola de la , Bustamante-Ordoñez Marina A. , Vizcarra-Jiménez Sonia , Copaja-Corzo Cesar , Gutierrez-Arratia Jesus D. 
Published: December 2023

Abstract
Developing accessible assessment tools is crucial for educators. Traditional methods demand significant resources such as time and expertise. Therefore, an accessible, user-friendly approach is needed. Traditional assessment creation faces challenges, however, new solutions like automatic item generation have emerged. Despite their potential, they still require expert knowledge. ChatGPT and similar chatbots offer a novel approach in this field. Our study evaluates the validity of MCQs generated by chatbots under the Kane validity framework. We focused on the top ten topics in Infectious and Tropical diseases, chosen based on epidemiological data and expert evaluations. These topics were transformed into learning objectives for chatbots like GPT-4, BingAI, and Claude to generate MCQs. Each chatbot produced 10 MCQs, which were subsequently refined. We compared 30 chatbot-generated MCQs with 10 from a Peruvian medical examination. The participants included 48 medical students and doctors from Peru. Our analysis revealed that the quality of chatbot-generated MCQs is consistent with those created by humans. This was evident in scoring inferences, with no significant differences in difficulty and discrimination indexes. In conclusion, chatbots appear to be a viable tool for creating MCQs in the field of infectious and tropical diseases in Peru. Although our study confirms their validity, further research is necessary to optimize their use in educational assessments.
Population variation and polymorphism of the Cotton Pink Bollworm Pectinophoragossypiella (Saunders) (Lepidoptera: Gelechiidae) using Inter Simple Sequence Repeats (ISSRs) as molecular marker
Authors: salah hanan 
Published: December 2023

Abstract

The most common pest infesting Egyptian cotton plants is the pink bollworm Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae). Intensive insecticide applications required for effective control in production season, ensuing insecticide resistance problems. Some investigation ideas were floating for sponsored management. Thus, PCR based examination of pest population DNA diversity athrough differentiation using eight Inter-Simple Sequence Repeats (ISSRs) primers screening for genetic diversity and population differentiation between some Egyptian field populations Sharkia, Benisuef and Fayoum, based on similarity in the pattern of SDS-page bands. We detected 117 loci with an average population polymorphism of 97.64%. Genetic distance and similarity between groups were calculated and UPMGA phylogenetic tree were constructed and the primer efficiency were calculated. Principal component, correspondence analysis and AMOVA results revealed great variance between populations. Population features analysis provided moderate level of gene flow. Infinite diversity distinguished by Fixation index Fst across the genotypes in addition to number of identified alleles (Na) the effective number of alleles (Ne). Estimated Shannon’s index (I) procedures of calculations completed as inter-population differences and Nei’s genetic diversity (h) and Eveness plus the estimated diversity and species richness. All results indicates a high level of genetic variation exists among the three geographical sample populations of the same pest.