bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Metaheuristics in Solving a Optimal Location of Photovoltaic Generators in a Distribution Network Problem
Authors: Lucena Matheus , Pereira Ramayana , Junqueira Caio , Meira Rafaella , Brito Núbia 
Published: June 2023

Abstract
This work addresses the optimal location of Renewable Energy Sources (RES), specifically Photovoltaic Generators (PVG), in Energy Distribution Systems (EDS) aiming at minimizing energy losses, treated as a combinatorial optimization problem. The optimal locations are modified by the metaheuristics selected for this work: Generic Algorithm (GA), Differential Evolutionary Algorithm (DEA), Tabu Search (TS) and Particle Swarm Optimization (PSO). The objective was to verify the aptitude of the methods to solve the proposed problem and to compare them with each other. The performances were verified in the IEEE 123 bus test system. OpenDSS was used to calculate the power flow and Matlab to program the optimization methods. The 4 methods were efficient, presenting solutions that indicated reduction of energy losses, with emphasis on the GA and the TS, which presented the best reduction averages and the lowest standard deviations.
Investigating the Sensing Efficiency of C6O6Li6 for Detecting Lung Cancer-Related Volatile Organic Compounds: A Computational Density Functional Theory Approach
Authors: Aetizaz Muhammad , Ullah Faizan , Mahmood Tariq , Ayub Khurshid 
Published: June 2023

Abstract
Major cause of lung cancer is inhaling of volatile organic compounds (VOCs), primarily acetone (AC), isoprene (IS), 1-hexene (HX), and benzene (BN). Human breath gases contain useful information, which makes them an effective way to diagnose these by detecting them via effective sensors. In this research, potential of C6O6Li6 is evaluated as a sensor for volatile organic compounds (VOCs) such as acetone, isoprene, 1-hexene and benzene. Different orientations have been evaluated to get the most stable orientation for the adsorption of each analyte over the surface. Interaction energies of most stable complexes are − 18.08 kcal/mol (AC@C6O6Li6), -14.06 kcal/mol (HX@C6O6Li6), -9.12 kcal/mol (IS@C6O6Li6) and − 8.31 kcal/mol (BN@C6O6Li6). Interaction energy analyses reveal that these gases are physiosorbed on the surface of C6O6Li6. Noncovalent interactions of analytes and C6O6Li6 are studied through quantum theory of atom in molecule (QTAIM), and non-covalent interaction (NCI) analyses. While the electronic properties are evaluated through frontier molecular orbital (FMO), natural bond orbital (NBO), electron density difference (EDD), and density of states (DOS) analyses. FMO analyses show that there is an increase in the band gap upon interaction of analytes (AC, IS, HX, BN) with surface (C6O6Li6). NBO analyses show that charges are being transferred from surface to analytes. We strongly believe that this study offers a thorough understanding of developing a potential sensor against harmful volatile organic compounds (VOCs).
Short-term and long-term outcomes of induction chemoimmunotherapy before radical thoracic radiotherapy or chemoradiotherapy for unresectable stage III non-small cell lung cancer
Authors: Ji Wenhao , Li Yuetong , Wang Zhun , Mao Weimin 
Published: June 2023

Abstract
Background Consolidation therapy of durvalumab after concurrent chemoradiotherapy (cCRT) has been the standard of care for unresectable stage III non-small cell lung cancer (NSCLC). In this retrospective study, we assessed the safety and efficacy of induction chemoimmunotherapy in unresectable stage III NSCLC.Materials and method unresectable stage III NSCLC who received at least one cycle of induction chemoimmunotherapy and underwent radical thoracic radiotherapy (RT) were retrospectively collected. The impact of induction chemoimmunotherapy on unresectable stage III NSCLC was assessed.Results 72 patients were included, after induction chemoimmunotherapy, 51 (70.8%) patients received partial response (PR) and 21 (29.2%) received stable disease (SD). Grade 3 and 4 adverse events (AEs) related to induction chemoimmunotherapy were reported in 13 (18.1%) and four (5.6%) patients. Grade 3, 4 and 5 AEs related to cCRT or RT were reported in 18 (25.0%), 4 (5.6%) and 2 (2.8%) patients. 18 (25%) had radiation pneumonia, of which, seven (9.7%) were Grade 3, two (2.8%) were Grade 5. The median progression-free survival (PFS) and overall survival (OS) was 18 months (95%CI: 12.3–23.7) and 29 months (95%CI: 25.7–32.3). The efficacy of induction therapy achieved PR was an independent factor for better PFS and OS, ≥ 3 cycles of induction chemoimmunotherapy was an independent factor for better OS.Conclusion Induction chemoimmunotherapy was efficacy for unresectable stage III NSCLC. Radiation pneumonia should take into consideration. ≥ 3 cycles of induction chemoimmunotherapy and the efficacy of induction therapy achieved PR was associated with better survival.
Neuroprotective Activity of Eriodictyol Against Streptozotocin-Induced Diabetic Peripheral Neuropathy in Wistar Rats by Targeting Wnt/β-Catenin Pathway
Authors: Malik Renu , Singh Balvinder , Kumar Manish 
Published: June 2023

Abstract
The present study explored the bioactivity of eriodictyol (Ed) in streptozotocin (STZ) induced diabetic neuropathy (DPN) and the probable role of the Wnt/β-catenin pathway. STZ (55 mg/kg, i.p.) was given to Wistar rats to induce diabetes. Ed (1 or 10 mg/kg, oral) or gabapentin (Gpn) (50 mg/kg, i.p.) or methyl vanillate (MV) (100 mg/kg, p.o.) was administered for 4 weeks starting 6 weeks after STZ administration. Feed/water intake, body weight (b.w.), blood glucose, insulin, glycosylated hemoglobin (HbA1c), and neuropathic pain parameters were measured at different intervals. Biomarkers of oxidative stress and inflammation were determined in the sciatic nerve after 10 weeks. The data indicated that Ed or Gpn attenuated STZ-induced increase in b.w., polydipsia, polyphagia, glucose, insulin, and HbA1c levels. Ed or Gpn ameliorated oxidative stress and inflammatory biomarkers in the sciatic nerve of STZ-injected rats. The neuropathic pain parameters were significantly amended in Ed or Gpn-treated rats against DPN. MV (Wnt/β-catenin activator) significantly potentiated the neuropathic effects of STZ. However, Ed (10 mg/kg) ameliorated these indices and improved the pain parameters in STZ and MV-treated rats. It can be concluded that Ed ameliorated the pathogenic course of DPN and pain parameters possibly by antagonizing the Wnt/β-catenin pathway.
Risk Assessment of Green Logistics in Renewable Energy Transition under Spherical Fuzzy Environment
Authors: Bonab Shabnam Rahnamay , Ghiaci Ali Memarpour , Ghoushchi Saeid Jafarzadeh 
Published: June 2023

Abstract
Ensuring the sustainability of renewable energy transition logistics relies on the successful management of various risk factors. In this study, the evaluation of risk factors related to the implementation of green logistics (GL) in renewable energy transition is carried out. To address the limitations of conventional risk priority number (RPN), a modified Failure Mode and Effects Analysis (FMEA) approach that incorporates decision-makers' (DMs) perspectives DMs using a Spherical Fuzzy Set (SFs) is proposed. The use of SFs helps to mitigate the vagueness and imprecision inherent in DMs' opinions. The proposed framework leverages the Spherical Fuzzy Best-Worst Method (SF-BWM) to determine criteria weights and combines SFs with the Combinative Distance-Based Assessment (SF-CODAS) method to rank the recognized risk factors. The resulting critical risk factors provide valuable insights for effective risk management in GL implementation. The effectiveness of the proposed approach was validated through a comparison of its results with those obtained from other MCDM methods, as well as through conducting sensitivity analysis. The outcomes of this evaluation provide strong evidence of the efficacy of our proposed method.
Characteristics and Seasonal Variations of Soil Bacterial Diversity and Life Strategies in Natural Vegetation and Different Ecological Restoration Sites on a Sea Island
Authors: Wang Zhikang , Li Chunlin , Geng Zengchao , Zhang Liangzhen , Sun Linting , Zhu Jianjun 
Published: June 2023

Abstract

While bacterial communities in ecologically restored soils have been extensively studied, the diversity and life strategies of those inhabiting soil environments formed by new restoration techniques like aggregate spray-seeding (ASS) remain unclear. To address this research gap, we compared the ASS restoration area (SRA) and AAS forest conversion area (FCA) with the natural vegetation area (NVA) and traditional afforestation area (TAA) on Triangle Island, China. Environmental DNA sequencing was employed to investigate diversity and life strategies of soil bacterial communities during summer and winter seasons. Results showed that (1) SRA and FCA exhibit significantly higher Chao1 index and relative abundance of r-strategy bacteria compared to NVA and TAA, accompanied lower DNA guanine-cytosine (GC) content. (2) The soil bacterial communities of NVA and TAA were similar, while those of SRA and FCA were also similar to each other. (3) Proteobacteria and Acidobacteriota were the dominant phyla in our studied soils, accounting for 67.83–76.54% of the total relative abundance. (4) The relative abundance of Proteobacteria was higher in summer, while that of Acidobacteriota was higher in winter. (5) GC content showed a negative correlation (p < 0.0001) with the relative abundance r-strategy bacteria and a positive correlation (p < 0.01) with the relative abundance K-strategy bacteria. In summary, our study demonstrates the impact of ASS application on soil bacterial community diversity and life strategy, while confirming the correlation between the bacterial GC content and life strategy. These findings provide a foundation for regulating soil microbial communities in ecological restoration projects.
Examining the Effect of Location on the Effect of the Value of Residential Properties in Wa
Authors: Baidoo Jonas , Amoah Richard 
Published: June 2023

Abstract
The real estate market in Ghana has experienced notable changes and fluctuations over time due to factors such as economic conditions, urbanization and policy interventions. This study is to analyze and determine the relative roles of locational characteristics in the determination of housing values/prices of residential properties. In order to achieve this, attempts were made to evaluate the role of locational factors in the determination of house prices; study how house prices / values in WA Municipality of the Upper West Region of Ghana. Data collection techniques such as review of relevant literature, group discussions and questionnaire administration were used and data Was analyzed by the use of the Statistical Package for Social Sciences (SPSS) and qualitatively as well. The significance of each variable involving socio-economic characteristics, landlord experience, building characteristics and locational characteristics Was evaluated through a multiple regression model. The findings are categorized into levels on the basis of the coefficient values. The results indicate that locational characteristics are the most significant variable that determines the value of houses in our study area. By comprehending the driving force behind property value, stakeholders can navigate the market more effectively and contribute to sustainable urban development in Upper West Region of Ghana.
Prediction of drug–drug interactions between roflumilast and CYP3A4/1A2 perpetrators using a physiologically-based pharmacokinetic (PBPK) approach
Authors: Jia Guangwei , Ren Congcong , Wang Hongyan , Fan Caixia 
Published: June 2023

Abstract
This study aimed to develop a physiologically-based pharmacokinetic (PBPK) model to predict changes in the pharmacokinetics (PK) and pharmacodynamics (PD, PDE4 inhibition) of roflumilast (ROF) and ROF N-oxide when co-administered with eight CYP3A4/1A2 perpetrators. The population PBPK model of ROF and ROF N-oxide has been successfully developed and validated based on the four clinical PK studies and five clinical drug-drug interactions (DDIs) studies. In PK simulations, every ratio of prediction to observation for PK parameters fell within the range 0.7 to 1.5. In DDI simulations, except for tow peak concentration ratios (Cmax) of ROF with rifampicin (0.63 vs. 0.19) and with cimetidine (1.07 vs.1.85), the remaining predicted ratios closely matched the observed ratios. Additionally, the PBPK model suggested that co-administration with the four perpetrators (ketoconazole, cimetidine, enoxacin, and fluconazole) may use with caution, while co-administration with CYP3A4 strong or moderate inducer (rifampicin, efavirenz), or with CYP3A4 strong inhibitor (itraconazole), or with dual CYP3A41A2 inhibitor (fluvoxamine) should avoid. Overall, the present PBPK model can provide recommendations for adjusting dosing regimens in the presence of DDIs.
Fast and Effective Deepfake Detection Method Using Frame Comparison Analysis
Authors: Ahmed Sarfraj , Shaun Mohd Akbar 
Published: June 2023

Abstract
Deep fake technology is an emerging technology that creates fake videos by using Generative Adversarial Networks (GANs) an artificial intelligence (AI) based technique to change the face of the person with the facial expression and lips sing effect. The development of tools for creating automatically deepfake is easily available. But the tools available for detecting deepfake are too complicated and not commonly available as compared to the deep fake creation tools available. The proposed method helps to detect deep fake video very fast as compared to the available CNN-based detection method. When the deep fake video has been created the edges of the imposed face are managed by creating or managing the distortion on the edges which creates an exclusive blur and noise on the edges of the face. The proposed model takes the advantage of this and does a comparative analysis of the frames using the Laplacian operator for edge detection and then detecting deepfake.
Correlation between circulating levels of cytokines and the risk of systemic lupus erythematosus: results from a Mendelian randomization study and bioinformatics analysis
Authors: Xue Dan , Qian Yu , Tu Xiao , He Mu , Xing Fengling , Ren Yunqing , Yuan Chengda 
Published: June 2023

Abstract

Background Systemic lupus erythematosus (SLE) is a complex autoimmune disorder, the etiology of which involves the alterations in circulating cytokine levels. However, the cause-and-effect relationships and in-depth clinical relevance of them remains to be systematically investigated. Methods We conducted a two-sample Mendelian randomization (MR) study using Wald ratio and Delta, inverse-variance weighted (IVW), MR-Egger regression, and the MR pleiotropy residual sum and outlier (MR-PRESSO) methods, to assess the causality of circulating cytokine levels and SLE. Furthermore, we performed an observational study using two datasets, including GSE99967 and GSE121239, to further reveal the association between 27 circulating cytokines and the severity measured by SLEDAI score, as well as lupus nephritis (LN), of SLE. Results In MR analysis, genetically determined elevated CTACK, and IL-18 were associated with an increased risk of SLE, whereas higher level of GRO-a was associated with a 5% decreased risk of SLE. In bioinformatics analysis, we identified 10 cytokines with significant differences between SLE patients and controls. Among them, there were 6 cytokines (MCP1, MIP-1b, CTACK, IP10, HGF, IL-18, IL-13) were identified as associated with clinical severity. Besides, 5 cytokines, including SDF-1a, IL-18, IL-8, IL-4, and TNF, were related with LN and may have good diagnostic value for LN. Moreover, we also predicted 4 compounds might have good binding activities with IL-18, which may have the potential therapeutic effects on SLE. Conclusion The evidence supported a potential causal role of circulating cytokines on the risk of SLE. Targeting IL-18 might be a meaningful strategy for the prevention or treatment of SLE, especially in LN patients.
Promoting climate-smart sustainable agroforestry to tackle social and environmental challenges: The case of Macadamia agroforestry in Malawi
Authors: Araya Yoseph N , Emmott Andrew , Rawes William , Zuza Emmanuel Junior 
Published: June 2023

Abstract

Our current global food system is understood to require a fundamental transformation based on a holistic approach to maintain long-term fertility, healthy biodiverse agroecosystems, and climate-proof/secure livelihoods. Recently, there has been a growing recognition of smallholder farmers' contributions to addressing key global environmental and social development issues (i.e., SDGs), including poverty, food security, climate change, and sustainable development. One specific approach is agroforestry-based agriculture, in which edible food and commercially important trees are grown on cropland, thereby improving the biodiversity of farming systems, enhancing agricultural productivity, and adding benefits such as nutrition and financial stability, not least climate resilience. In this context, we present lessons learned from an agroforestry system in Malawi that involves smallholder farmer cooperatives interplanting macadamia nut trees with annual crops such as groundnuts, maize, and soybeans. We review holistic advantages such as yield improvement, farmer perceptions, and challenges. We provide insights into what works in designing (NMT, linkage with finance plan) and draw lessons that can be applied to other comparable programmes worldwide.
Treatment outcomes of stereotactic radiosurgery for primary and metastatic sarcoma of the spine
Authors: Kim Eunji , Kim Mi-Sook , Chang Ung-Kyu , Kong Chang-Bae 
Published: June 2023

Abstract

Purpose This study evaluated the treatment outcomes of spine stereotactic radiosurgery (SRS) in sarcoma patients. Materials and methods A total of 44 sarcoma patients and 75 spinal lesions (6 primary tumors, 69 metastatic tumors) treated with SRS were retrospectively reviewed between 2006 and 2017. The median radiation dose was 33 Gy (range, 18–45 Gy) in 3 fractions (range, 1–5) prescribed to the 75% isodose line. Results The median follow-up duration was 18.2 months. The 1-year local control was 76.4%, and patients treated with multiple vertebral bodies and large planning target volume (PTV) size were identified as unfavorable prognostic factors on multivariate analyses. Progression-free survival at 1 year was 31.9%, with the interval between initial diagnosis and SRS and extent of disease at the time of treatment being significant prognostic factors. The 1-year overall survival was 80.5%, and PTV > 16 cc and visceral metastases were independently associated with inferior overall survival. Conclusion SRS for spinal sarcoma is effective in achieving local control, particularly when treating a single vertebral level or a small treatment volume, resulting in an excellent control rate. The extent of disease at the time of SRS is significantly correlated with survival outcomes and should be considered when treating spine sarcoma.
Approximation and moduli of continuity of a function with first derivative f' belonging to Ha2[0,1) and solution of Bessel differential equation by ExtendedLegendre wavelet technique
Authors: Lal Shyam , Yadav Swatantra 
Published: June 2023

Abstract

In this paper, extended Legendre wavelet is considered. The solution of Bessel's differential equation has been obtained by extended Legendre wavelet technique and the convergence analysis of its solution has been studied. Two new extended Legendre wavelet estimators $E_{\mu^k,0}(f)$, $E_{\mu^k,M}(f)$ and two new moduli of continuity $ W\big(\big(f-(S_{\mu^{k},0}f)\big),\frac{1}{\mu^{k}}\big) , W\big( \big(f-(S_{\mu^{k},M}f)\big),\frac{1}{\mu^{k}}\big) $ of solution function with first derivative $ f^{'} $ belong to $H_{2}^{\alpha} [0,1)$ of order $0<\alpha \leq 1$, has been developed. These estimators and moduli of continuity are new and best possible in wavelet analysis. Extended Legendre wavelet collocation method has been developed to solve Bessel differential equations with unknown extended Legendre wavelet coefficients. In this process, Bessel differential equations are reduced into a system of algebraic equations and these equations are solved by collocation method. To show the utility and validity of the suggested approach, three Bessel type differential equations are solved. The solution obtained by proposed method are compared to their exact solutions. The absolute errors are negligible. This demonstrates the applicability and accuracy of the methodology presented in this paper.
Mathematics Subject Classification:42C40, 65T60, 45G10, 45B05.
Identifying the Origin of Yemeni Green Coffee Beans Using Near Infrared Spectroscopy: A Promising Tool for Traceability and Sustainability
Authors: Santos-Rivera Mariana , Montagnon Christophe , Sheibani Faris 
Published: June 2023

Abstract

Yemeni smallholder coffee farmers face several challenges, including the ongoing civil conflict, limited rainfall levels for irrigation, and a lack of post-harvest processing infrastructure. Decades of political instability have also affected the quality, accessibility, and reputation of Yemeni coffee beans. Despite these challenges, Yemeni coffee is highly valued for its unique flavor profile and is considered one of the most valuable coffees in the world. Due to its exclusive nature and perceived value, it is also a prime target for food fraud and adulteration. This is the first study to identify the potential of Near Infrared Spectroscopy (NIRS) and chemometrics – more specifically, the discriminant analysis (PCA-LDA) – as a promising, fast, and cost-effective tool for the traceability of Yemeni coffee and sustainability of the Yemeni coffee sector. The NIR spectral signatures of whole green coffee beans from Yemeni regions (Al Mahwit, Dhamar, Ibb, Saada, and Sana'a), and other origins (n = 221) were discriminated and predicted with accuracy, sensitivity, and specificity ≥ 98% using PCA-LDA models. These results show that the chemical composition of green coffee and other factors captured on the spectral signatures can influence the discrimination of the geographical origin, a crucial component of coffee valuation in the international markets.
Proposal of names for 328 higher rank taxa defined in the Genome Taxonomy Database under two prokaryotic codes
Authors: Chuvochina Maria , Mussig Aaron J. , Chaumeil Pierre-Alain , Skarshewski Adam , Rinke Christian , Parks Donovan H. , Hugenholtz Philip 
Published: June 2023

Abstract

The Genome Taxonomy Database (GTDB) is a taxonomic framework that defines prokaryotic taxa as monophyletic groups in concatenated protein reference trees according to systematic criteria. This has resulted in a substantial number of changes to existing classifications (https://gtdb.ecogenomic.org). In the case of union of taxa, names were applied based on the priority of publication. The division of taxa or change in rank led to the formation of new Latin names above the rank of genus that were only made publicly available via the GTDB website without associated published taxonomic proposals. This sometimes led to confusion in the literature and databases. A number of the provisional GTDB names were later published in other studies, while many still lack authorships. To reduce further confusion, here we propose names and descriptions for 328 GTDB-defined prokaryotic taxa, 223 of which are suitable for validation under the International Code of Nomenclature of Prokaryotes (ICNP) and 48 under the Code of Nomenclature of Prokaryotes Described from Sequence Data (SeqCode). For the latter we designated 21 genomes as type material. An additional 57 taxa that do not currently satisfy the validation criteria of either code are proposed as Candidatus.