bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting current and future high-risk areas for vectors and reservoirs of cutaneous leishmaniasis in Iran
Authors: Bozorg-Omid Faramarz , Kafash Anooshe , Jafari Reza , Akhavan Amir Ahmad , Rahimi Mohammad , Rahimi Foroushani Abbas , Youssefi Fahimeh , Shirzadi Mohammad Reza , Ostadtaghizadeh Abbas , Hanafi-Bojd Ahmad Ali
Published: July 2023

Climate change will affect the distribution of species in the future. To determine the vulnerable areas relating to CL in Iran, we applied two models, MaxEnt and RF, for the projection of the future distribution of the main vectors and reservoirs of CL. The results of the models were compared in terms of performance, species distribution maps, and the gain, loss, and stable areas. The models provided a reasonable estimate of species distribution. The results showed that the Northern and Southern counties of Iran, which currently do not have a high incidence of CL may witness new foci in the future. The Western, and Southwestern regions of the Country, which currently have high habitat suitability for the presence of some vectors and reservoirs, will probably significantly decrease in the future. Furthermore, the most stable areas are for T. indica and M. hurrianae in the future. So that, this species may remain a major reservoir in areas that are present under current conditions. With more local studies in the field of identifying vulnerable areas to CL, it can be suggested that the national CL control guidelines should be revised to include a section as a climate change adaptation plan.
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification
Authors: Vasques Xavier , Paik Hanhee , Cif Laura
Published: July 2023

The functional characterization of different neuronal types has been a longstanding and crucial challenge. With the advent of physical quantum computers, it has become possible to apply quantum machine learning algorithms to translate theoretical research into practical solutions. Previous studies have shown the advantages of quantum algorithms on artificially generated datasets, and initial experiments with small binary classification problems have yielded comparable outcomes to classical algorithms. However, it is essential to investigate the potential quantum advantage using real-world data. To the best of our knowledge, this study is the first to propose the utilization of quantum systems to classify neuron morphologies, thereby enhancing our understanding of the performance of automatic multiclass neuron classification using quantum kernel methods. We examined the influence of feature engineering on classification accuracy and found that quantum kernel methods achieved similar performance to classical methods, with certain advantages observed in various configurations.
Clinical outcomes of acute myocardial infarction arising from non-lipid-rich plaque determined by NIRS-IVUS
Authors: Terada Kosei , Wakana Noriyuki , Kubo Takashi , Ino Yasushi , Khalifa Amir Kh. M. , Fujita Suwako , Takahata Masahiro , Shiono Yasutsugu , Madder Ryan D. , Kameyama Takeyoshi
Published: July 2023

Acute myocardial infarction (AMI) can rarely arise from non-lipid-rich coronary plaques. This study sought to compare the clinical outcomes after percutaneous coronary intervention (PCI) between AMI showing maximum lipid-core burden index in 4 mm (maxLCBI4mm) < 400 and ≥ 400 in the infarct-related lesions assessed by near-infrared spectroscopy-intravascular ultrasound (NIRS-IVUS). We investigated 426 AMI patients who underwent NIRS-IVUS in the infarct-related lesions before PCI. Major adverse cardiovascular events (MACE) were defined as the composite of cardiac death, non-fatal MI, clinically driven target lesion revascularization (TLR), clinically driven non-TLR, and congestive heart failure requiring hospitalization. 107 (25%) patients had infarct-related lesions of maxLCBI4mm < 400, and 319 (75%) patients had those of maxLCBI4mm ≥ 400. The maxLCBI4mm < 400 group had a younger median age at onset (68 years [IQR: 57–78 years] vs. 73 years [IQR: 64–80 years], P = 0.007), less frequent multivessel disease (39% vs. 51%, P = 0.029), less frequent TIMI flow grade 0 or 1 before PCI (62% vs. 75%, P = 0.007), and less frequent no-reflow immediately after PCI (5% vs. 11%, P = 0.039). During a median follow-up period of 31 months [IQR: 19–48 months], the frequency of MACE was significantly lower in the maxLCBI4mm < 400 group compared with the maxLCBI4mm ≥ 400 group (4.7% vs. 17.2%, P = 0.001). MaxLCBI4mm < 400 was an independent predictor of MACE-free survival at multivariable analysis (hazard ratio: 0.36 [confidence interval: 0.13–0.98], P = 0.046). MaxLCBI4mm < 400 measured by NIRS in the infract-related lesions before PCI was associated with better long-term clinical outcomes in AMI patients.
Conservation laws, solitary wave solutions, and lie analysis for the nonlinear chains of atoms
Authors: Junaid-U-Rehman Muhammad , Kudra Grzegorz , Awrejcewicz Jan
Published: July 2023

Nonlinear chains of atoms (NCA) are complex systems with rich dynamics, that influence various scientific disciplines. The lie symmetry approach is considered to analyze the NCA. The Lie symmetry method is a powerful mathematical tool for analyzing and solving differential equations with symmetries, facilitating the reduction of complexity and obtaining solutions. After getting the entire vector field by using the Lie scheme, we find the optimal system of symmetries. We have converted assumed PDE into nonlinear ODE by using the optimal system. The new auxiliary scheme is used to find the Travelling wave solutions, while graphical behaviour visually represents relationships and patterns in data or mathematical models. The multiplier method enables the identification of conservation laws, and fundamental principles in physics that assert certain quantities remain constant over time.
Canonical correlation analysis of depression and anxiety symptoms among college students and their relationship with physical activity
Authors: Li Lili , Wang Peng , Li Shufan , Liu Qing , Yu Fen , Guo Zhaohui , Jia Shuqi , Wang Xing
Published: July 2023

To explore the association between depression and anxiety symptoms among college students and the relationship between the two and physical activity. A cross-sectional study design was used to survey 1790 enrolled university students using the Depression Self-Rating Scale, Anxiety Self-Rating Scale and Physical Activity Rating Scale. 37.75% of male students and 39.73% of female students detected depressive symptoms, 17.65% of male students and 17.86% of female students detected anxiety symptoms, 11.89% of male students and 11.75% of female students detected both depressive and anxiety symptoms. Canonical correlation between depression and anxiety symptoms of college students were significant. The depression and anxiety score of college students in the high level group was significantly lower than that in the low and medium level groups, and no significant difference was found between the low and medium level groups. Affective disorder and anxious mood of male students correlated most closely with intensity, while somatic disorder, psychomotor disorder and depressive psychological disorder correlated most closely with duration. Affective disorder of female students correlated most closely with frequency, depressive psychological disorder and anxious mood correlated most closely with intensity, while premonition of misfortune and frequent urination correlated most closely with duration. Depression and anxiety symptoms of college students were closely related and co-occurrence was common. Students with high level of physical activity had milder symptoms. Different exercise interventions are recommended for different symptoms.
Integrated analysis of copy number variation-associated lncRNAs identifies candidates contributing to the etiologies of congenital kidney anomalies
Authors: Lu Yibo , Zhou Yiyang , Guo Jing , Qi Ming , Lin Yuwan , Zhang Xingyu , Xiang Ying , Fu Qihua , Wang Bo
Published: July 2023

Congenital anomalies of the kidney and urinary tract (CAKUT) are disorders resulting from defects in the development of the kidneys and their outflow tract. Copy number variations (CNVs) have been identified as important genetic variations leading to CAKUT, whereas most CAKUT-associated CNVs cannot be attributed to a specific pathogenic gene. Here we construct coexpression networks involving long noncoding RNAs (lncRNAs) within these CNVs (CNV-lncRNAs) using human kidney developmental transcriptomic data. The results show that CNV-lncRNAs encompassed in recurrent CAKUT associated CNVs have highly correlated expression with CAKUT genes in the developing kidneys. The regulatory effects of two hub CNV-lncRNAs (HSALNG0134318 in 22q11.2 and HSALNG0115943 in 17q12) in the module most significantly enriched in known CAKUT genes (CAKUT_sig1, P1.150 × 10−6) are validated experimentally. Our results indicate that the reduction of CNV-lncRNAs can downregulate CAKUT genes as predicted by our computational analyses. Furthermore, knockdown of HSALNG0134318 would downregulate HSALNG0115943 and affect kidney development related pathways. The results also indicate that the CAKUT_sig1 module has function significance involving multi-organ development. Overall, our findings suggest that CNV-lncRNAs play roles in regulating CAKUT genes, and the etiologies of CAKUT-associated CNVs should take account of effects on the noncoding genome.
Molecular mechanisms governing antifungal drug resistance
Authors: Lee Yunjin , Robbins Nicole , Cowen Leah E.
Published: July 2023

Fungal pathogens are a severe public health problem. The leading causative agents of systemic fungal infections include species from the Candida, Cryptococcus, and Aspergillus genera. As opportunistic pathogens, these fungi are generally harmless in healthy hosts; however, they can cause significant morbidity and mortality in immunocompromised patients. Despite the profound impact of pathogenic fungi on global human health, the current antifungal armamentarium is limited to only three major classes of drugs, all of which face complications, including host toxicity, unfavourable pharmacokinetics, or limited spectrum of activity. Further exacerbating this issue is the growing prevalence of antifungal-resistant infections and the emergence of multidrug-resistant pathogens. In this review, we discuss the diverse strategies employed by leading fungal pathogens to evolve antifungal resistance, including drug target alterations, enhanced drug efflux, and induction of cellular stress response pathways. Such mechanisms of resistance occur through diverse genetic alterations, including point mutations, aneuploidy formation, and epigenetic changes given the significant plasticity observed in many fungal genomes. Additionally, we highlight recent literature surrounding the mechanisms governing resistance in emerging multidrug-resistant pathogens including Candida auris and Candida glabrata. Advancing our knowledge of the molecular mechanisms by which fungi adapt to the challenge of antifungal exposure is imperative for designing therapeutic strategies to tackle the emerging threat of antifungal resistance.
Promotion of S-nitrosation of cysteine by a {Co(NO)2}10 complex
Authors: Chiang Chien-Wei , Jhang Kai-Wun , Chen Jeng-Lung , Hsu Liang-Ching , Huang Wei-Hsiang , Chen Hung-Chi , Lin Ting-Jun , Sun Ci-Yang , Li Yu-Ning
Published: July 2023

We addressed the limitation of artificial iron-containing DNICs’ inability to undergo S-nitrosation by developing Co(ArLFc)(NO)2. By fine-tuning the electron environment, the complex can perform S-nitrosation on Cys residues.
Role of mechanochemical synthesis in the crystal chemistry of leflunomide
Authors: Lohar Vishal A. , Menon Anila M. , Suresh Ajay , Chopra Deepak
Published: July 2023

The mechanochemical experiments on leflunomide result in the formation of solvate with DMSO and salt with piperazine via conversion to the Z-form of teriflunomide. These solid-state forms were characterized by diffraction and thermal techniques.
Multiphoton characterization and live cell imaging using fluorescent adenine analogue 2CNqA
Authors: Nilsson Jesper R. , Benitez-Martin Carlos , Sansom Henry G. , Pfeiffer Pauline , Baladi Tom , Le Hoang-Ngoan , Dahlén Anders , Magennis Steven W. , Wilhelmsson L. Marcus
Published: July 2023

Here, we present the non-linear spectroscopic characterization of the fluorescent nucleobase analogue 2CNqA as a monomer and inside an antisense oligonucleotide. Its applicability as a 2P fluorescent reporter is demonstrated using live cell imaging.
Unexpectedly resisting protein adsorption on self-assembled monolayers terminated with two hydrophilic hydroxyl groups
Authors: Mao Dangxin , Wu Yuan-Yan , Tu Yusong
Published: July 2023

Compared with a traditional physical barrier effect formed by substantial hydrogen bonds between the OH-terminated SAM and water, a new resistance mechanism (i.e., the structure of the SAM itself) can significantly enhance the performance of resistance to protein adsorption.
Morphology evolution of the aluminum surface in a fluorine-containing environment
Authors: Hai Pengqi , Wu Chao , Ding Xiangdong , Li Yuanjie
Published: July 2023

The interaction between aluminum (Al) and F and O atoms is essential to understand the etching process of Al and alumina (Al2O3) by fluorine-containing gases.
Two phases of trans-stilbene in a polystyrene matrix
Authors: Karpicz Renata , Kareivaite Gabriele , Macernis Mindaugas , Abramavicius Darius , Valkunas Leonas
Published: July 2023

Spectral properties of solid trans-stilbene reflect diversification of molecular conformations in nanocrystals.
Correction: Limitations of non-polarizable force fields in describing anion binding poses in non-polar synthetic hosts
Authors: Seiferth David , Tucker Stephen J. , Biggin Philip C.
Published: July 2023

Correction for ‘Limitations of non-polarizable force fields in describing anion binding poses in non-polar synthetic hosts’ by David Seiferth et al., Phys. Chem. Chem. Phys., 2023, 25, 17596–17608, https://doi.org/10.1039/D3CP00479A.
Bi nanoparticles confined in N,S co-doped carbon nanoribbons with excellent rate performance for sodium-ion batteries
Authors: Huang Guirong , Huang Qiushi , Cui Zhe , Zhu Jinqi , Gao Mengluan , Wang Wenqing , Weng Fuming , Liu Qian , Zou Rujia
Published: July 2023

N,S-C@Bi/CNT composites were fabricated via a facile solvothermal and carbonization method. When employed as an anode material, they show excellent electrochemical performance due to the fast reaction kinetics and structural stability.
Pd-NHC catalysed regioselective activation of B(3,6)–H ofo-carborane – a synergy between experiment and theory
Authors: Yu Jia-Wei , Zhang Cai-Yan , Chass Gregory A. , Zhang Jing-Xuan , Mu Wei-Hua , Cao Ke
Published: July 2023

This work presents DFT characterisation studies of multiple competitive pathways leading to the regioselective B(3,6)-diarylation ofo-carboranes catalysed by Pd-NHC and achieves excellent agreement between experimental and computational results.
Probing into the conduction band and type of carriers/traps on red/orange persistent phosphors in vacancy & solid-solution induced (Sr/Ba)1−xCaxGe4−yO9:Mn2+
Authors: Peng Feng , Yuhua Wang
Published: July 2023

Ge vacancy induction and Ca solid solution cause the conduction band of the material to drop dramatically, resulting in an afterglow that would not have one. The valence band is unchanged during this process, ruling out a hole migration.
A new dual-ligand DUT-52-type metal–organic framework for ratiometric luminescence detection of aqueous-phase Cu2+ and Cr2O72−
Authors: Wen Xue , Zhang Wenjun , Ding Cong , Li Zhongfa , Xin Chengyue
Published: July 2023

Eu3+/DUT-52-COOH is constructed by dual-ligand strategy, which possesses advantages of DUT-52 structure and blue emission of DUT-52. The free -COOH groups sensitizes Eu3+, introducing a second emission center while providing detection site.
A solvent-responsive terbium-organic framework for photocatalytic CO2reduction
Authors: Lu Xin , Yao Zhilong , Yuan Xiaomin , Wei Yao , Zhu Zhihao , Zheng Hegen , Zhang Chuanlei
Published: July 2023

We have prepared a solvent-responsive MOF, AQNU-4, which shows obvious solvent dependence in the catalytic process, especially in cyclohexanone, the highest CO2-to-CO catalytic activity is 138.65 μmol g−1h−1.
Growth mechanisms of monolayer hexagonal boron nitride (h-BN) on metal surfaces: theoretical perspectives
Authors: Islam Md. Sherajul , Mazumder Abdullah Al Mamun , Sohag Minhaz Uddin , Sarkar Md. Mosarof Hossain , Stampfl Catherine , Park Jeongwon
Published: July 2023

The atomic-scale growth mechanisms, which are prerequisites for rationally optimizing growth circumstances, of recent cutting-edge theoretical research on two dimensional h-BN on different metal substrates have been summarized.
Theoretical insights into the room temperature phosphorescence properties in star-shaped carbazole-based molecules
Authors: Kothoori Naga Pranava Sree , Sivasakthi Pandiyan , Samanta Pralok K.
Published: July 2023

Room temperature phosphorescence properties of a series of a few star-shaped pure organic molecules CzX and CzXBr (Cz = carbazolyl, X = O, S, Se).
The effect of substituents on the aggregation-induced emission of 9,10-phenanthraquinone-hydrazones
Authors: Kumar M Naveen , Lyngkhoi Deikrisha Lyngdoh , Gaikwad Sudhakar , Samanta Debabrata , Khatua Snehadrinarayan , Pramanik Susnata
Published: July 2023

One-step synthesis of six hydrazone derivatives exhibiting red-shifted absorption is reported. The compounds are red-emissive in their solid state with moderate to high quantum efficiency and show AIE properties, supported by DLS and SEM studies.
Design of a novel Ag-MOF@GO composite with a high specific surface area and structural stability for the efficient removal of malachite green
Authors: Deng Xingguo , Li Jingchao , Zhao Bo , Li Zhihua
Published: July 2023

In this work, Ag-MOF and Ag-MOF@GO are synthesized via sonication and applied for the adsorption of the malachite green dye for the first time, producing a composite that is promising for environmental treatment and the adsorption of pollutants.
Construction of a AgBr–Ag2MoO4 heterojunction and its photocatalytic sterilization activity
Authors: Rao Qin , Xian Xiao , Lin Huaxiang , Yuan Rusheng , Zhang Zizhong , Long Jinlin , Lin Qun
Published: July 2023

A AgBr–Ag2MoO4 heterojunction with high inactivation of E. coli under visible-light illumination was constructed.
Access to 2-pyridinones comprising enaminonitriles via AgOAc promoted cascade reactions of thioesters with aminomethylene malononitriles
Authors: Zhu Chen , Zhou Jubao , Li Tianxing , Yang Jiaxin , Jin Hui , Zhang Lixin
Published: July 2023

This study presents an approach to access biologically and synthetically intriguing 2-pyridinones containing enaminonitriles, which can be further transformed into 2-pyridinone-fused 2-pyrimidones with fascinating fluorescence emission properties.
High diastereo- and enantioselective Michael addition of 3-acetoxy-2-oxindoles with nitroalkenes catalyzed by nickel/PyBisulidine
Authors: Wu Ruoran , Chen Peng , Chai Yu , Zhou Junyu , Ou Jianhua , Min Yan , Wang Haoting , Liang Guojuan , Zhang Dong , Zhou Jing , Zhou Hui
Published: July 2023

A Ni/PyBisulidine catalyzed asymmetric Michael addition of 3-acyloxy-2-oxindoles to nitroalkenes is developed to construct quaternary substituted 3-acyloxy-2-oxindoles with excellent yields and stereoselectivities in low catalyst loading (1 mol%).
Mechanism and kinetic model of microalgal enzymatic hydrolysis for prospective bioethanol conversion
Authors: Padil  , Putra Meilana Dharma , Hidayat Muslikhin , Kasiamdari Rina Sri , Mutamima Anisa , Iwamoto Koji , Darmawan Muhammad Arif , Gozan Misri
Published: July 2023

The kinetic model was developed to confirm the enzymatic mechanisms for the pretreatment and the saccharification processes. The proposed kinetic model fitted well with the experimental data.
Clearly transparent and air-permeable nanopaper with porous structures consisting of TEMPO-oxidized cellulose nanofibers
Authors: Huang Yintong , Kasuga Takaaki , Nogi Masaya , Koga Hirotaka
Published: July 2023

Starting with a TEMPO-oxidized cellulose nanofiber/water dispersion, a clearly transparent and air-permeable nanopaper was prepared by filtration-based solvent exchange from water with ethanol and hexane, followed by drying under vacuum filtration.
The role of Mg dopant concentration in tuning the performance of the SnO2 electron transport layer in perovskite solar cells
Authors: Sannino Gennaro Vincenzo , Pecoraro Adriana , Maddalena Pasqualino , Bruno Annalisa , Veneri Paola Delli , Pavone Michele , Muñoz-García Ana Belén
Published: July 2023

Doping SnO2 with Mg can lead to non-linear effects on the conduction band edge potentials, first-principles calculations allow dissecting the origin of such behavior.
Low cost & quasi solid state Na2Mn0.5Ni0.5Fe(CN)6//NaxFe2O3 hybrid Na-ion batteries for solar energy storage
Authors: Naskar Pappu , Mondal Shubhrajyoti , Biswas Biplab , Laha Sourav , Banerjee Anjan
Published: July 2023

Lowering the band gap is achieved by inclusion of nickel in Na2MnFe(CN)6 and sodium in Fe2O3, which improves the overall electrochemical performances of the respective positive and negative electrodes in an aqueous Na-ion battery.
Formation of glassy skins in drying polymer solutions: approximate analytical solutions
Authors: Talini Laurence , Lequeux François
Published: July 2023

We investigate the formation of glassy skins at the surface of drying solutions. We quantitatively predict both the formation time of the skin and its growth, whatever the concentration dependence of the mutual diffusion coefficient.
Correction: Passive particle transport using a transversely propelling polymer “sweeper”
Authors: Prathyusha K. R.
Published: July 2023

Correction for ‘Passive particle transport using a transversely propelling polymer “sweeper”* by K. R. Prathyusha, Soft Matter, 2023, 19, 4001–4010, https://doi.org/10.1039/d2sm01708c.
Synergizing plasmonic Au nanocages with 2D MoS2 nanosheets for significant enhancement in photocatalytic hydrogen evolution
Authors: Peng Rui , Ma Xiaohan , Hood Zachary D. , Boulesbaa Abdelaziz , Puretzky Alexander A. , Tong Jianhua , Wu Zili
Published: July 2023

A plasmonic Au–MoS2 nanosheet composite provides significant enhancement in photocatalytic hydrogen production.
Hybrid water electrolysis with integrated and cascading reactions using two-dimensional electrocatalysts
Authors: Yao Dazhi , Zhang Yanzhao , Zhang Shilin , Wan Jun , Yu Huimin , Jin Huanyu
Published: July 2023

Hybrid water electrolysis using 2D electrocatalysts is a promising way to reduce the cost of green hydrogen production. This review systematically assesses the status quo and future challenges of various 2D materials for different reactions.
Uncovering the influence of the modifier redox potential on CO2 reduction through combined data-driven machine learning and hypothesis-driven experimentation
Authors: He Xinru , Su Yuming , Zhu Jieyu , Fang Nan , Chen YangTao , Liu Huichong , Zhou Da , Wang Cheng
Published: July 2023

By examining the literature on organic-modified Cu in CO2 electroreduction and conducting tailored experiments, we discovered a link between the reduction potential of the modifier and the selectivity of the resulting products.
Metal–metalloid alloys: mesoporous Rh–Te films for electrocatalytic nitrogen fixation
Authors: Wang Ziqiang , Li Duanyang , Zhang Xian , Yu Hongjie , Deng Kai , Xu You , Wang Hongjing , Wang Liang
Published: July 2023

Mesoporous Rh–Te alloy films on carbon paper are synthesized via a micelle-assisted electrodeposition method, exhibiting improved performance for nitrogen reduction to ammonia.
Optimal size selection of combined diesel generator/fuel cell/photovoltaic system components using a multi‐objective strategy and sea lion optimization algorithm
Authors: Wang Hongbin , Mansor Nurulafiqah Nadzirah Binti , Mokhlis Hazlie Bin , Mashhadi Arsam
Published: July 2023

One of the challenges of the production sector of the electricity industry at present is how to meet the needs of electricity consumption in the country by using and localizing new power plant units. The main purpose of the presented paper is to offer an optimum arrangement for a combined diesel generator/FC/PV system for an off‐grid supply of electricity in a community in Shache, China. A multi‐objective scheme of the combined system is suggested with consideration of the unpredictability in solar radiation, load, and operating reserve (OR). The multi‐objective optimization has been established to make the TNPC (total net present cost) and LPSP (probability of power supply loss) minimum. In this study, the decision variables are the number of diesel generators (DG), photovoltaic (PV) panels, fuel cells (FC), electrolyzers, and hydrogen tanks. To get more authentication, the impact of several criteria on the size issue has been analyzed. The incorporation of a hydrogen production system lowers the overall expense of the combined systems, according to the modeling results. Plus, the operational reserve has a greater effect on the Pareto front in comparison with solar energy and load uncertainty.
Clumping and X-rays in cooler B supergiant stars
Authors: Bernini-Peron M. , Marcolino W. L. F. , Sander A. A. C. , Bouret J.-C. , Ramachandran V. , Saling J. , Schneider F. R. N. , Oskinova L. M. , Najarro F.
Published: July 2023

Context. B supergiants (BSGs) are evolved stars with effective temperatures between ~10 to ~30 kK. Knowing the properties of these objects is important to understand massive star evolution. Located on the cool end of the line-driven wind regime, the study of their atmospheres can help us to understand the physics of their winds and phenomena such as the bi-stability jump.

Aims. Despite being well-studied stars, key UV features of their spectra have so far not been reproduced by atmosphere models for spectral types later than B1. In this study, we aim to remedy this situation by performing quantitative spectral analyzes that account for the effects of X-rays and clumping in the wind. In addition, we also briefly investigate the evolutionary status of our sample stars based on the stellar parameters we obtained.

Methods. We determined photospheric and wind parameters via quantitative spectroscopy using atmosphere models computed with CMFGEN and PoWR. These models were compared to high-resolution UV and optical spectra of four BSGs: HD206165, HD198478, HD53138, and HD164353. We further employed GENEC and MESA tracks to study the evolutionary status of our sample.

Results. When including both clumping and X-rays, we obtained a good agreement between synthetic and observed spectra for our sample stars. For the first time, we reproduced key wind lines in the UV, where previous studies were unsuccessful. To model the UV spectra, we require a moderately clumped wind (fV∞ ≳ 0.5). We also infer a relative X-ray luminosity of about 10−7.5 to 10−8, which is lower than the typical ratio of 10−7. Moreover, we find a possible mismatch between evolutionary mass predictions and the derived spectroscopic masses, which deserves deeper investigation as this might relate to the mass-discrepancy problem present in other types of OB stars.

Conclusions. Our results provide direct spectroscopic evidence that both X-rays and clumping need to be taken into account to describe the winds of cool BSGs. However, their winds seem to be much less structured than in earlier OB-type stars. Our findings are in line with observational X-rays and clumping constraints as well as recent hydrodynamical simulations. The evolutionary status of BSGs seems to be diverse with some objects potentially being post-red supergiants or merger products. The obtained wind parameters provide evidence for a moderate increase of the mass-loss rate around the bi-stability jump.
K2 and TESS observations of symbiotic X-ray binaries: GX 1+4 and IGR J16194−2810
Authors: Luna G. J. M.
Published: July 2023

I analyze the K2 and TESS data taken in 2016, 2019, and 2021 of the symbiotic X-ray binaries GX 1+4 and IGR J16194−2810. GX 1+4 consists of a pulsar accreting from a red giant companion in a 1160-day orbit. Since 1984, the pulsar has shown a continuous spin-down rate ofṖ= −0.1177(3) mHZ yr−1. I report the detection of the spin period at an average value of 180.426(1) seconds as observed with the K2 mission and confirm that the spin period continues to increase at a rate of ∼1.61×10−7s s−1. The K2 and hard X-rays, as observed withSwift/BAT, varied in tandem, in agreement with proposals from other authors that the optical light arises from reprocessed X-ray emission. In the case of IGR J16194−2810, the X-ray and optical spectroscopy have been interpreted as arising from a neutron star accreting from an M2 III red giant companion. Its orbital period is unknown, though I report here the detection of a modulation with a period of 242.837 min and interpret it as the neutron star spin period. IGR J16194−2810 is thus the second symbiotic X-ray binary whose spin period has been detected in optical wavelengths. This period, however, was only detected during the TESS observations of Sector 12 in 2019. The non-detection of this modulation during the observations of Sector 39 in 2021 is perhaps related to a low inclination of the orbit.
Text Summarization and Translation of Summarized Outcome in French
Authors: Vetriselvi T. , Mathur Mihir
Published: July 2023

Automatic text summarization is increasingly required with the exponential growth of unstructured text through increasing internet and social media usage across the globe. The various approaches are outcomes of extraction-based and abstraction-based. In Extraction-based summarization, the extracted content from the original data, is typically presented in the same or slightly modified form without significant paraphrasing or restructuring. Abstractive methods involve building an internal representation of the original content and then using that representation to generate a summary that may not be present in the original text verbatim. They employ natural language processing techniques, such as language generation models, to paraphrase and rephrase sections of the source document to create a more human-like summary. Abstraction in abstractive summarization is indeed a challenging task because it requires not only linguistic and syntactic understanding but also a deeper semantic understanding of the original content. The evaluation of automatically summarized text through criteria of precision and recall, and various evaluation methods, datasets used for domain based and generic text summarization. This paper proposes the Sentence Length Impact (SLI) algorithm to summarize English text content, which gives 92% accuracy and translating the same in French.
Deep learning-based image captioning for visually impaired people
Authors: Kavitha R. , Shree Sandhya S. , Betes Praveena , Rajalakshmi P. , Sarubala E.
Published: July 2023

Vision loss can affect people of all ages. Severe or complete vision loss may occur when the eye or brain parts that need to process images are damaged. In this paper, in order to facilitate the blind, deep learning algorithms are used to caption the image for the blind person in which the blind can know about the object, distance and position of object. Whenever an image is captured via the camera, the scenes are recognized and predicted by the machine. After the prediction, it will be sent as an audio output to the user. Thus, with the help of this paper an artificial vision to the blind, can be achieved and help them to gain confidence while travelling alone.
Noise Level Notifier
Authors: P.M Dinesh , B Yogesh Bala , S Manoj Kumar , R.S Sabeenian , M.E Paramasivam , A Manjunathan
Published: July 2023

This paper involves utilizing an Arduino Uno as the primary hardware to measure the sound level in a library. The amount of noise in the region is measured using a sound sensor. The sound sensor signals are amplified using the operational amplifier function of the integrated circuit LM 567. There are two types of output available: audio and visual. The audio output takes the form of a personalized message that is played over speakers. LEDs are employed to offer visual feedback, with white LEDs used in noise-free environments (sound level 45 dB, yellow LEDs used when sound levels are above 65 decibels, and red LEDs used when sound levels are significantly above 80 decibels). A TIP 220 transistor is used to amplify the signals. A TIP 220 transistor amplifies the signals to create an output for the speaker. There is an audio message that corresponds to each sound level.
IOT Based Real Time River Water Quality Monitoring and Control System
Authors: P.M Dinesh , K Shree Sapnaa , A.J Kiranisha , R.S Sabeenian , M.E Paramasivam , A Manjunathan
Published: July 2023

Water quality monitoring systems currently in use are manual and involve tedious processes that are time intensive. This research suggests a system with sensors for water quality monitoring. Access to real-time data may be obtained through remote monitoring and the Internet of Things. A wireless sensor network (WSN) contains a micro-controller for data processing, a mechanism for communicating between and inside nodes and many (IoT). Using Spark flow analysis with Spark MLlib, deep on it. The agent will receive a warning SMS automatically if the detected value exceeds the threshold. Our plan to develop a high- frequency, high-mobility, low-power water monitoring system makes it special. As a result, the Bangladeshi people will find our proposed approach highly useful in raising awareness of and putting an end to water pollution.
Advancements in Natural Language Processing for Text Understanding
Authors: John Basha M. , Vijayakumar S. , Jayashankari J. , Alawadi Ahmed Hussein , Durdona Pulatova
Published: July 2023

Natural language processing (NLP) developments have made it possible for robots to read and analyze human language with astounding precision, revolutionizing the field of text understanding. An overview of current advancements in NLP approaches and their effects on text comprehension are provided in this abstract. It examines significant developments in fields including named entity identification, sentiment analysis, semantic analysis, and question answering, highlighting the difficulties encountered and creative solutions put forth. To sum up, recent developments in natural language processing have raised the bar for text comprehension. Deep learning models and extensive pre-training have changed methods including semantic analysis, sentiment analysis, named entity identification, and question answering. These developments have produced text comprehension systems that are increasingly precise and complex. However, issues with prejudice, coreference resolution, and contextual comprehension still need to be resolved. The future of NLP for text understanding has considerable potential with continuing study and innovation, opening the door for increasingly sophisticated applications in numerous sectors.
Computer Vision: Advances in Image and Video Analysis
Authors: Dhabliya Dharmesh , Ugli Ibrokhimov Sarvar Muydinjon , Murali M. J. , Abbas Ahmed H. R. , Gulbahor Uralova
Published: July 2023

The topic of computer vision has emerged as one that is fast developing, altering how we examine and comprehend pictures and movies. Image and video analysis has significantly advanced in recent years, opening the door for applications in a variety of industries including healthcare, robotics, surveillance, and autonomous systems. An overview of current developments in computer vision methods, algorithms, and techniques used in image and video analysis is given in this abstract. In conclusion, there have been tremendous improvements in image and video analysis in the field of computer vision. Recurrent neural networks (RNNs) and CNNs are two examples of deep learning approaches that have been used to enhance accuracy, resilience, and efficiency in a variety of applications. A richer comprehension of visual material has resulted from the integration of spatial and temporal data with semantic analysis. These developments have enormous potential for use in a variety of fields, influencing the direction of computer vision and its social effects.
Hand Gesture and Voice Assistants
Authors: Latha B. , Sowndarya Sri , K Swethamalya , Raghuwanshi Ashish , Feruza Rakhmatova , Kumar G. Sathish
Published: July 2023

Hand gesture mouse control for systems has received a lot of attention in recent years Because of its many uses and capability to efficiently connect with machines via human- computer interaction, hand gesture mouse control for systems has attracted a lot of attention in recent years. Most visual hand motion detection systems can only be used in specific settings due to the effects of lighting and complicated backgrounds. Together with the quick advancement of computer vision and machine learning, the need for human- machine interaction is also rising. Despite the complicated history, the suggested methodology provides a straightforward but efficient way to perform rapid manual tracking. In addition to hand tracking and gesture detection, this system also eliminates motion blur. The detected gesture is transformed into particular functional inputs, such clicking and mouse movement, to control other programmes. The project's voice assistant feature is one of its additional features. The voice assistants can be instructed verbally or by text. Voice-based intelligent assistants need an activating word, sometimes referred to as a wake word, before the command may be given.
Bronchop Neumonia Detection Using Novel Multilevel Deep Neural Network Schema
Authors: K.R Prasanna , R Vijayakumar , Sevam Joseph Durai , P Parthasarathy
Published: July 2023

Pneumonia is a dangerous disease that can occur in one or both lungs and is usually caused by a virus, fungus or bacteria. Respiratory syncytial virus (RSV) is the most common cause of pneumonia in children. With the development of pneumonia, it can be divided into four stages: congestion, red liver, gray liver and regression. In our work, we employ the most powerful tools and techniques such as VGG16, an object recognition and classification algorithm that can classify 1000 images in 1000 different groups with 92.7% accuracy. It is one of the popular algorithms designed for image classification and simple to use by means of transfer learning. Transfer learning (TL) is a technique in deep learning that spotlight on pre-learning the neural network and storing the knowledge gained while solving a problem and applying it to new and different information. In our work, the information gained by learning about 1000 different groups on Image Net can be used and strive to identify diseases.
Error estimates of a theta-scheme for second-order mean field games
Authors: Bonnans J. Frédéric , Liu Kang , Pfeiffer Laurent
Published: July 2023

We introduce and analyze a new finite-difference scheme, relying on the theta-method, for solving monotone second-order mean field games. These games consist of a coupled system of the Fokker–Planck and the Hamilton–Jacobi–Bellman equation. The theta-method is used for discretizing the diffusion terms: we approximate them with a convex combination of an implicit and an explicit term. On contrast, we use an explicit centered scheme for the first-order terms. Assuming that the running cost is strongly convex and regular, we first prove the monotonicity and the stability of our thetascheme, under a CFL condition. Taking advantage of the regularity of the solution of the continuous problem, we estimate the consistency error of the theta-scheme. Our main result is a convergence rate of orderO(hr) for the theta-scheme, where ℎ is the step length of the space variable andr ∈ (0, 1) is related to the Hölder continuity of the solution of the continuous problem and some of its derivatives.
Optimal pricing strategy for new products considering reference price effect in advance selling
Authors: Zhang Wen , Zhang Yan , Pu Xujin , Wang Zhenzhen
Published: July 2023

Previous research has shown that retailers’ operations and consumers’ purchase choices are significantly influenced by reference prices. This study explores a retailer selling some new products to strategic consumers in advance selling, and addresses the impact of reference price effect on the advance selling strategy and corresponding pricing decisions. Consumers’ choices are determined by their purchasing utilities which are dependent on the selling price in current period and the reference price. We first drive optimal selling prices and corresponding profits of the retailer under the scenarios of no advance selling, advance selling without considering the reference price effect, and advance selling with considering the reference price effect, respectively. We find an advance selling strategy is not always beneficial for the retailer. Besides, results present that the retailer benefits from considering reference price effects only if the positive reference effect is relatively high. Finally, numerical studies show that dynamic pricing is dominated by price commitment, which reaches the maximum when positive and negative reference effects parameters are both the highest.
Network Meta-analysis of Combined Strength and Power Training for
Countermovement Jump Height
Authors: Brandt Maximilian , Beinert Sibylle , Alfuth Martin
Published: July 2023

Combined strength and power training in a training program is considered to
improve the vertical jump, which is frequently quantified using the
countermovement jump height. It is not yet clear whether one of the different
training set structures, such as complex training, contrast training, compound
training and traditional training, is superior to another. The aim of this
review is to describe and assess the comparative effects of the set structures
on countermovement jump height in healthy subjects. A systematic review and
network meta-analysis (NMA) was conducted in accordance with Preferred Reporting
Items for Systematic Reviews and Meta-Analyses for Network Meta-Analyses. Three
databases were systematically searched. Risk of bias was assessed using the Risk
of Bias 2 tool. NMAs were performed using a random-effects model. Twenty-four
studies were included. All interventions were superior to control (no
intervention) with mean differences ranging from 2.87 [95% confidence
interval (CI): 1.99 to 3.74] for complex training to 3.43 (95% CI: 2.61
to 4.26) for traditional training. None of the training interventions were
superior compared to each other in strength and/or power trained
subjects, as well as in non-strength and/or power trained subjects. The
ﬁndings support the combination of strength and power training to
improve countermovement jump height.
1-Methoxyerythrabyssin II Induces Autophagy in Leukemia Cells via PI3K/Akt/mTOR Pathways
Authors: Fang Bo , Kim Soeun , Kim Yebon , Qiu Yinda , Lee Chang-Min , Lai Yinshuang , Liu Zhiguo , Wang Kun , Cho Namki
Published: July 2023

Leukemia, despite currently being one of the most lethal cancers worldwide, still lacks a focused treatment. The purpose of the present investigation was to evaluate the pharmacological effect of 1-methoxyerythrabyssin II, a pterocarpan identified in the roots of Lespedeza bicolor, on leukemic cells and to explore its underlying mechanism using a network pharmacology strategy. 1-Methoxyerythrabyssin II showed an antiproliferative effect in a concentration-dependent manner and exhibited a higher potency in human acute leukemia T cells (Jurkat). The G1 phase arrest induced by 1-methoxyerythrabyssin II was confirmed using a cell cycle assay, and the downregulation of CDK2 and cyclin D1 was observed using an immunoblot assay. Moreover, 1-methoxyerythrabyssin II-treated cells exhibited higher expression levels of LC3B, Atg-7, and Beclin 1 in addition to an enhanced fluorescence intensity in monodansylcadaverine staining, indicating autophagy induction by 1-methoxyerythrabyssin II. Furthermore, network pharmacology and molecular docking analyses revealed that the PI3K/Akt/mTOR pathway is a potential target of 1-methoxyerythrabyssin II in leukemic cells. In vitro assays further demonstrated that 1-methoxyerythrabyssin II promoted autophagy and suppressed cell proliferation by inhibiting the PI3K/Akt/mTOR pathway in leukemic cells. This discovery will contribute to the development of novel therapeutics and prophylactics against leukemia.
Vanilla pompona Leaves and Stems as New Sources of Bioactive Compounds: The Therapeutic Potential for Skin Senescence
Authors: Wang Duanyang , Amen Yhiya , Elsbaey Marwa , Nagata Maki , Matsumoto Masako , Wang Dongmei , Shimizu Kuniyoshi
Published: July 2023

A large variety of natural plants are widely produced and utilised because of their remarkable pharmacological effects. In this study, two phenolic glycosides were isolated for the first
time from Vanilla pompona Schiede (Orchidaceae) from Kyushu, Japan: bis [4-(β-D – O-glucopyranosyloxy)-benzyl] (S)-2-isopropylmalate (1) and bis
4-[β-D-O-glucopyranosyloxy)-benzyl]-(2R,3S)-2-isopropyl tartrate (2). We have discovered that the crude extract of V. pompona leaves and stems and
its two phenolic glycosides (compounds 1 – 2) are highly effective in reversing skin senescence. V. pompona and compounds 1 – 2 were found to promote the
synthesis of collagen, hyaluronic acid, and elastin in skin fibroblasts in a normal skin cell model; in a replicative senescence model, V. pompona and compounds 1 – 2
significantly reduced the ageing phenotype in skin fibroblasts. These compounds also demonstrated a significant protective effect in a UV-induced photo-senescence model; the possible
mechanisms of this effect were investigated in this study. To the best of our knowledge, this study is the first to develop V. pompona leaves and stems as new sources of bioactive
compounds and to examine their therapeutic potential for skin senescence. The development potential of V. pompona leaves and stems for use in the cosmetics, cosmeceutical, and
pharmaceutical industries remains to be investigated.
Anthelmintic Activities of Extract and Ellagitannins from Phyllanthus urinaria against Caenorhabditis elegans and Zoonotic or Animal Parasitic
Nematodes
Authors: Jato Jonathan , Waindok Patrick , Ngnodandi François Ngnodandi Belga François , Orman Emmanuel , Agyare Christian , Bekoe Emelia Oppong , Strube Christina , Hensel Andreas , Liebau Eva , Spiegler Verena
Published: July 2023

The aerial parts of Phyllanthus urinaria are used in traditional medicine in West Africa against helminthiasis, but their anthelmintic potential has not been evaluated until now.
Within the current study, a hydroacetonic extract (AWE) and fractions and isolated ellagitannins from P. urinaria were, therefore, tested in vitro against Caenorhabditis
elegans and the larvae of the animal parasites Toxocara canis, Ascaris suum, Ancylostoma caninum, and Trichuris suis. Compounds 1 – 13, mainly representing
ellagitannins, were isolated using different chromatographic methods, and their structures were elucidated by HR-MS and 1H/13C-NMR. AWE exerted concentration-dependent
lethal effects (LC50 of 2.6 mg/mL) against C. elegans and inhibited larval migration of all animal parasites tested (T. suis L1 IC50 24.3 µg/mL,
A. suum L3 IC50 35.7 µg/mL, A. caninum L3 IC50 112.8 µg/mL, T. canis L3 IC50 1513.2 µg/mL). The anthelmintic activity of AWE was mainly
related to the polar, tannin-containing fractions. Geraniin 1, the major ellagitannin in the extract, showed the strongest anthelmintic activity in general (IC50 between
0.6 and 804 µM, depending on parasite species) and was the only compound active against A. caninum (IC50 of 35.0 µM). Furosin 9 was least active despite structural
similarities to 1. Among the parasites tested, Trichuris suis L1 larvae turned out to be most sensitive with IC50 of 0.6, 6.4, 4.0, 4.8, and 2.6 µM for geraniin
1, repandusinic acid A 3, punicafolin 8, furosin 9, and phyllanthusiin A 10, respectively.