bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new two-decade (2001–2019) high-resolution agricultural primary productivity dataset for India
Authors: Gangopadhyay Prasun K. , Shirsath Paresh B. , Dadhwal Vinay K. , Aggarwal Pramod K. 
Published: November 2022

AbstractThe present study describes a new dataset that estimates seasonally integrated agricultural gross primary productivity (GPP). Several models are being used to estimate GPP using remote sensing (RS) for regional and global studies. Using biophysical and climatic variables (MODIS, SBSS, ECWMF reanalysis etc.) and validated by crop statistics, the present study provides a new dataset of agricultural GPP for monsoon and winter seasons in India for two decades (2001–2019). This dataset (GPPCY-IN) is based on the light use efficiency (LUE) principle and applied a dynamic LUE for each year and season to capture the seasonal variations more efficiently. An additional dataset (NGPPCY-IN) is also derived from crop production statistics and RS GPP to translate district-level statistics at the pixel level. Along with validation with crop statistics, the derived dataset was also compared with in situ GPP estimations. This dataset will be useful for many applications and has been created for estimating integrated yield loss by taking GPP as a proxy compared to resource and time-consuming field-based methods for crop insurance.
SURE 2.0 – New release of the worldwide database of surface ruptures for fault displacement hazard analyses
Authors: Nurminen Fiia , Baize Stéphane , Boncio Paolo , Blumetti Anna Maria , Cinti Francesca R. , Civico Riccardo , Guerrieri Luca 
Published: November 2022

AbstractSurface rupturing data from the historical earthquakes is used for obtaining empirical regression parameters for fault displacement hazard assessment. This paper represents an additional compilation and analysis effort, extending the first version of the SUrface Ruptures due to Earthquake (SURE) database. This new release contains slip measurements and mapped surface rupture traces of 50 surface rupturing earthquakes of reverse, normal, and strike-slip kinematics occurred all over the world between 1872 and 2019. As a novelty, a ranking scheme of the rupture features is applied to all the traces and slip measurements in the database. Fault ranking introduces geology as a primary analysis tool and allows the end user to obtain regression parameters suitable for the specific geological conditions at the site of interest. SURE 2.0 dataset consists of a table containing the background information about each earthquake, a table containing the slip measurement data of each event, and a joint shapefile containing all the surface rupture traces of the events in the database.
Thirty years of volcano geodesy from space at Campi Flegrei caldera (Italy)
Authors: Polcari Marco , Borgstrom Sven , Del Gaudio Carlo , De Martino Prospero , Ricco Ciro , Siniscalchi Valeria , Trasatti Elisa 
Published: November 2022

AbstractThis work provides the mean ground deformation rates and ground displacement time series of the Campi Flegrei caldera (Italy) retrieved by satellite remote sensing data analysis from 1992 to 2021. Synthetic Aperture Radar (SAR) images acquired by ERS 1–2 (1992–2002), Envisat (2003–2011) and Cosmo-SkyMed (2011–2021) are processed by multi-temporal SAR Interferometry (InSAR) approach using the same technique, parameters and reference system, to obtain for the first time a homogeneous and time-continuous dataset. The validation of the InSAR products is carried out by comparison with the measurements provided by precise levelling lines and cGNSS stations. The produced outcomes offer an overview on the temporal behaviour of ground deformation at Campi Flegrei along an unprecedented time window of about 30 years and can be exploited by the scientific community for supporting and improving the knowledge of the dynamics of the caldera.
Observing flow of He II with unsupervised machine learning
Authors: Wen X. , McDonald L. , Pierce J. , Guo W. , Fitzsimmons M. R. 
Published: November 2022

AbstractTime dependent observations of point-to-point correlations of the velocity vector field (structure functions) are necessary to model and understand fluid flow around complex objects. Using thermal gradients, we observed fluid flow by recording fluorescence of$${\text{He}}_{2}^{*}$$He2∗excimers produced by neutron capture throughout a ~ cm3volume. Because the photon emitted by an excited excimer is unlikely to be recorded by the camera, the techniques of particle tracking (PTV) and particle imaging (PIV) velocimetry cannot be applied to extract information from the fluorescence of individual excimers. Therefore, we applied an unsupervised machine learning algorithm to identify light from ensembles of excimers (clusters) and then tracked the centroids of the clusters using a particle displacement determination algorithm developed for PTV.
Cow dung extract mediated green synthesis of zinc oxide nanoparticles for agricultural applications
Authors: Javed Zoya , Tripathi Gyan Datta , Mishra Mansi , Gattupalli Meghana , Dashora Kavya 
Published: November 2022

AbstractIn the present study, zinc oxide nanoparticles (ZnO) were synthesized using cow dung extract to apply sustainable agriculture from rural resources. Studies on their antibacterial potential against E. coli DH 5 alpha indicated lower antimicrobial activities than the bulk Zn and commercial Zn nanoparticles. Compared with control and commercial ZnO nanoparticles, the maximum seed germination, root length, and shoot length were observed after the priming of synthesized ZnO NPs. This study suggests that ZnO may significantly increase seed germination and have lower antimicrobial potential. Further, the lower in-vitro cellular leakage and reactive oxygen species (ROS) production provided new hope for using cow dung extract mediated nanoparticles for agricultural and industrial applications.
Development of a new screening method for faster kinship analyses in mass disasters: a proof of concept study
Authors: Kakkar Sonia , Sarma Phulen , Panigrahi Inusha , Mandal S. P. , Shrivastava Pankaj , Kumawat R. K. 
Published: November 2022

AbstractKinship analysis in forensics is based on the calculation of the respective kinship indices. However, this calculation is only possible when the subject under identification has been associated with a particular population, whose allele frequency data is available for the particular set of STR markers used in the forensic practices. In the case of mass disasters, where a large number of individuals are to be identified, gathering the population frequency data and calculating the kinship indices can be an intricate process which requires a lot of time and huge resources. The new method of allele matching cut off score (AMCOS) developed in this study is based on the allele sharing approach. This approach simply refers to the number of shared alleles (1 or 2) between the two individuals; also known as identical by state (IBS) alleles which might have been inherited from a recent common ancestor in which the alleles are identical by descendent (IBD). In case of mass disasters, this method can be used to narrow down the number of pairs (dead and alive) to be matched for kinship without using the allele frequency data. The results obtained from this method could further be confirmed by LR based method, which uses the allele frequency data of the respective population of the pairs being tested for kinship. AMCOS method has been tested for its sensitivity, specificity and various other statistical parameters and has shown promising values for the same in various types of kinship analyses. This ascertains the authenticity and potential use of this method in forensic practice but only after its validation in a larger sample size. AMCOS method has been tested on siblings and grandparent-grandchildren by using autosomal and X-STR markers both, as the reference samples from the parents cannot always be available for the identification. The present study also compared the results shown by the autosomal and X-STR markers in siblings and grandparent-grandchildren identification, thereby suggesting the use of better set of markers on the basis of obtained values of various statistical parameters.
Phycotoxicity and catalytic reduction activity of green synthesized Oscillatoria gelatin-capped silver nanoparticles
Authors: Abo-Elmagd Rasha A. , Hamouda Ragaa A. , Hussein Mervat H. 
Published: November 2022

AbstractOver the last decade, an extensive range of consumer products containing manufactured silver nanoparticles (AgNPs) have been progressively used. The unfitting usage and discharge of these materials can enable passage of AgNPs into the aquatic ecosystem causing prospective toxicological consequence. The present study shed new lights on the phycotoxicity of small (8.47–17.66 nm) and stable Oscillatoria reduced gelatin-capped silver nanoparticles (OG-AgNPs) fabricated using a completely green synthetic technique. In this work, estimating of the possible toxic effects of OG-AgNPs on two freshwater microalgae Chlorella vulgaris and Chlorella minutissima was carried. This study found that, the growth of cells and photosynthetic pigment inhibitory effects of OG-AgNPs exhibit a significant increase with increasing time and concentration compared to control. Based on the IC50 value C. vulgaris (3.705 μg/mL) was found to be more sensitive to OG-AgNPs than C. minutissima (5.8 μg/mL). This study revealed that OG-AgNPs exhibit potent phycotoxic effect against Chlorella species. Finally, the negative effect of OG-AgNPs on aquatic algae and these modifications might have severe effects on structure and function of aquatic ecosystems. Besides, the biosynthesized OG-AgNPs showed a catalytic activity in the reduction of hydrogen peroxide, one of the reactive oxygen species that represent a major threat to biological systems. This method pretends an auspicious non-skill dependent technique with a good sensitivity for determination of H2O2 concentration, particularly at trace ppm level for applying in numerous domains such as medical and industrial processes.
Additive effects of EEG neurofeedback on medications for ADHD: a systematic review and meta-analysis
Authors: Lin Feng-Li , Sun Cheuk-Kwan , Cheng Yu-Shian , Wang Ming Yu , Chung Weilun , Tzang Ruu‐Fen , Chiu Hsien‐Jane , Cheng Ying-Chih , Tu Kun-Yu 
Published: November 2022

AbstractTo elucidate possible additive effects of electroencephalogram-based neurofeedback (EEG-NF) on medications against the core symptoms of attention-deficit/hyperactivity disorder (ADHD), randomized controlled trials (RCTs) were retrieved from electronic databases including PubMed, EMBASE, ClinicalKey, Cochrane CENTRAL, ScienceDirect, and ClinicalTrials.gov from inception to March 2022. The primary outcomes were changes in ADHD symptoms (i.e., global, inattention, hyperactivity/impulsivity) assessed with validated rating scales, while secondary outcome was all-cause discontinuation rate. Meta-analysis of five RCTs involving 305 participants [Median age = 9.285 years (range 8.6–11.05)] with a median follow-up of 12 weeks showed additive effects of EEG-NF on medications from parents’ observations against ADHD global symptoms (Hedges’ g = 0.2898, 95%CI [0.0238; 0.5557]) and inattention symptoms (Hedges’ g = 0.3274, 95%CI [0.0493; 0.6055]). However, additive effects failed to sustain six months after EEG-NF intervention. Besides, there was no difference in improvement of hyperactivity/impulsivity from parents’ observation, attentional performance, and all-cause discontinuation rate between the two groups. Our results supported additional benefits of combining EEG-NF with medications compared to medication alone in treating global symptoms and symptoms of inattention in ADHD patients. Nevertheless, given a lack of evidence showing a correlation between underlying physiological changes and small effect sizes in our preliminary results, further studies are warranted to support our findings.
Association of dietary and lifestyle inflammation scores with muscle strength and muscle endurance among Tehranian adults
Authors: Asgari Elaheh , Djafarian Kurosh , Shab-Bidar Sakineh 
Published: November 2022

AbstractDiet and lifestyle as modifiable factors play an effective role in muscle strength and muscle endurance. In addition, inflammatory reactions may have an association with the etiology of a a lower muscle strength and muscle endurance. We aimed to investigate the association of dietary and lifestyle inflammation scores (DLIS) with muscle strength and muscle endurance in a sample of Iranian adults. In this cross-sectional study, 270 adults aged 20 to 59 years (55.9% female) were selected. The dietary intakes were collected using a 168-item semi-quantitative food frequency questionnaire. The DLIS was calculated using the dietary inflammatory score (DIS), and lifestyle inflammatory score (LIS). Muscle endurance and muscle strength were measured by a digital-handgrip-dynamometer. Multivariate adjusted means for muscle strength and endurance across quartiles of the DIS, LIS, and DLIS were determined by the ANCOVA test. Multiple linear regression analysis was used to evaluate the association between inflammation scores (i.e., DIS, LIS, and DLIS), and muscle strength, muscle endurance. The DLIS ranged between −2.94 and 3.09. The adjusted P-value of muscle strength of the right hand (MSR) along quartiles of DIS was significantly lower (P = 0.024). MSR (β: −1.19; P-value: 0.020) and mean muscle strength (MMS) (β: −0.95; P-value: 0.047) had significant association with DIS. MSR (β: −0.85; P-value: 0.050) had a marginally significant association with DLIS. Overall, we found that a high adherence to a pro-inflammatory diet might be associated to a lower muscle strength. However, a lifestyle with greater inflammatory potential was not related to any components of muscle endurance. Further studies with prospective designs are needed to confirm the present findings in further details.
Fusarium chlamydosporum, causing wilt disease of chili (Capsicum annum L.) and brinjal (Solanum melongena L.) in Northern Himalayas: a first report
Authors: Parihar Tasmeen J. , Sofi Mohd. Yaseen , Rasool Rovidha S. , Khursheed Sehla , Bhat Zahoor A. , Hussain Khursheed , Dhekale Bhagyashree , Zargar Sajad Majeed , Hakak Asma S. , Shah Mehraj D. , Nehvi F. A. , Bhat M. Ashraf , Khan M. N. , Masoodi Khalid Z. 
Published: November 2022

AbstractChili (Capsicum annuum L.) and brinjal (Solanum melongena L.) are the most widely grown solanaceous crops in the world. However, their production has reduced over several years due to the attack of various fungal and bacterial pathogens and various abiotic factors. Still, the major constrain in their production are pathogens with fungal etiology, especially the fungal wilt of solanaceous crops. Fusarium oxysporum and Fusarium solani have been previously identified as the pathogens causing wilt disease in chili and brinjal. Recently, a new fungal pathogen F. equiseti has been reported as the causal agent of wilt disease infecting chili. The current study focused on identifying fungal pathogens associated with the wilted plants of chili and brinjal, collected from different parts of the Himalayan region of Kashmir valley, through morpho-cultural and molecular characterization. DNA extraction, PCR amplification, and sequencing were performed on various isolates. DNA barcoding using the internal transcribed spacer region (ITS) was used to identify the pathogen followed by the pathogenicity test. Further confirmation of the pathogen was done by sequencing of transcription elongation factor (TEF) and Calmodulin (CAL2). In current study Fusarium chlamydosporum has been reported as the wilt causing pathogen of chili and brinjal for the first time in Kashmir Himalayas.
A novel prognostic model for cutaneous melanoma based on an immune-related gene signature and clinical variables
Authors: Tang Yifan , Feng Huicong , Zhang Lupeng , Qu Chiwen , Li Jinlong , Deng Xiangyu , Zhong Suye , Yang Jun , Deng Xiyun , Zeng Xiaomin , Wang Yiren , Peng Xiaoning 
Published: November 2022

AbstractAbundant evidence has indicated that the prognosis of cutaneous melanoma (CM) patients is highly complicated by the tumour immune microenvironment. We retrieved the clinical data and gene expression data of CM patients in The Cancer Genome Atlas (TCGA) database for modelling and validation analysis. Based on single-sample gene set enrichment analysis (ssGSEA) and consensus clustering analysis, CM patients were classified into three immune level groups, and the differences in the tumour immune microenvironment and clinical characteristics were evaluated. Seven immune-related CM prognostic molecules, including three mRNAs (SUCO, BTN3A1 and TBC1D2), three lncRNAs (HLA-DQB1-AS1, C9orf139 and C22orf34) and one miRNA (hsa-miR-17-5p), were screened by differential expression analysis, ceRNA network analysis, LASSO Cox regression analysis and univariate Cox regression analysis. Their biological functions were mainly concentrated in the phospholipid metabolic process, transcription regulator complex, protein serine/threonine kinase activity and MAPK signalling pathway. We established a novel prognostic model for CM integrating clinical variables and immune molecules that showed promising predictive performance demonstrated by receiver operating characteristic curves (AUC ≥ 0.74), providing a scientific basis for predicting the prognosis and improving the clinical outcomes of CM patients.
Epidemiology and outcomes for level 1 and 2 traumas during the first wave of COVID19 in a Canadian centre
Authors: Boutin S. , Elder J. , Sothilingam N. , Davis P. , Oyedokun T. 
Published: November 2022

AbstractTo determine if lockdown measures imposed during the first wave of the COVID19 pandemic affected trauma patterns, volumes, and outcomes in a western Canadian level 1 trauma center, we performed a retrospective cohort study assessing level 1 and 2 trauma patients presenting to our center during the initial COVID19 “lockdown” period (March 15–June 14, 2020) compared to a similar cohort of patients presenting during a “control” period 1 year prior (March 15–June 14, 2019). Overall, we saw a 7.8% reduction in trauma volumes during the lockdown period, and this was associated with a shorter average ED length of stay (6.2 ± 4.7 h vs. 9.7 ± 11.8 h, p = 0.003), reduced time to computed tomography (88.5 ± 68.2 min vs. 105.1 ± 65.5 min, p < 0.001), a reduction in intensive care unit admissions (11.0 ± 4.9% vs. 20.0 ± 15.5%, p = 0.001), and higher injury severity score (6.5 ± 7.6 vs. 6.2 ± 9.5, p = 0.04). Our findings suggest that lockdown measures imposed during the first wave of the COVID19 pandemic had a significant impact on trauma patients.
The anti-obesity effect of mulberry leaf (Mori Folium) extracts was increased by bioconversion with Pectinex
Authors: Han Joo-Hui , Lee Hyung-Won , Jung Sang-Hyuk , Cho Chong Woon , Kim Tae Jeong , Kang Jong Seong , Myung Chang-Seon 
Published: November 2022

AbstractMulberry leaf (Mori Folium) extract (MLE) is known to have anti-obesity effects. In this study, the enhanced effects of MLE after bioconversion treatment using Pectinex (BMLE) on obesity were explored, and the underlying mechanisms were investigated using the active components, neochlorogenic acid (5-CQA) and cryptochlorogenic acid (4-CQA), whose amounts were increased by bioconversion of MLE. Both MLE and BMLE inhibited lipid accumulation in 3T3-L1 adipocytes without cytotoxicity and suppressed the expression of CCAAT/enhancer-binding protein alpha (C/EBPα). In addition, MLE and BMLE decreased high-fat diet-induced adipose tissue mass expansion. Notably, BMLE significantly increased antiadipogenic and anti-obesity effects compared to MLE in vitro and in vivo. The active ingredients increased by bioconversion, 5-CQA and 4-CQA, inhibited the protein levels of C/EBPα and the mRNA levels of stearoyl-CoA desaturase 1 (Scd1). These findings provide new insights into the therapeutic possibility of using bioconversion of MLE, by which upregulation of 5-CQA and 4-CQA potently inhibits adipogenesis.
Fexinidazole interferes with the growth and structural organization of Trypanosoma cruzi
Authors: Zuma Aline Araujo , de Souza Wanderley 
Published: November 2022

AbstractFexinidazole (FEX) is a heterocyclic compound and constitutes the first 100% oral treatment drug for African trypanosomiasis. Its effectiveness against Trypanosoma brucei encouraged the investigation of its antiparasitic potential against T. cruzi, the aetiological agent of Chagas disease. Although previous studies addressed the antitrypanosomal effects of FEX, none used electron microscopy to identify the main target structures of T. brucei or T. cruzi. In this work, we used microscopy techniques to analyze the ultrastructural alterations caused by FEX in different developmental stages of T. cruzi. In addition to inhibiting T. cruzi proliferation, with IC50 of 1 µM for intracellular amastigotes, FEX promoted massive disorganization of reservosomes, the detachment of the plasma membrane, unpacking of nuclear heterochromatin, mitochondrial swelling, Golgi disruption and alterations in the kinetoplast-mitochondrion complex. Together, these observations point to FEX as a potential drug leader for further developing of chemotherapy against Chagas disease.
Self-assessment of the health status and leisure activities of individuals on haemodialysis
Authors: Cunha Alexandre Cardoso da , Santos Neto Edson Theodoro dos , Salaroli Luciane Bresciani 
Published: November 2022

AbstractSelf-assessment of health status is an important marker of social and health aspects. Haemodialysis is an option for renal replacement therapy that alters daily life and impacts social participation and the performance of tasks that give the subject a socially accepted role. In this scenario, leisure activities have the potential to generate well-being and are associated with several aspects of daily life, but few studies have analysed their relationship with the self-assessment of health status. This is a cross-sectional, census study with 1024 individuals from haemodialysis units of a Southeast Brazilian region, with the application of a questionnaire in 2019. We calculated the difference between the proportions of self-assessment of health status (positive and negative) and the two logistic regression models. The chances of individuals on haemodialysis negatively evaluating their health increase when they do not perform artistic leisure activities (OR 2.15; 95% CI 1.35–3.43), physical and sports activities (OR 3.20; 95% CI 1.86–5.52), intellectual (OR 2.21; 95% CI 1.44–3.41), manuals (OR 1.82; 95% CI 1.22–2.72), social (OR 2.74; 95% CI 1.74–4.31), tourist (OR 2.08; 95% CI 1.37–3.17) and idleness and contemplative (OR 1.92; 95% CI 1.29–2.85). Negative health self-assessment is associated with not practicing artistic, manual, physical and sporting, social, intellectual, tourist, and contemplative leisure activities, which have the function of providing social participation and giving meaning to life.