bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis of female sex pheromone of Red Hairy Caterpillar, Amsacta albistriga Walker (Lepidoptera: Arctiidae) and its evaluation
Authors: MURALIKRISHNA T. , DEVAKI K. , JYOTHI K. N. , BAKTHAVATSALAM N. , VENKATESWARLU U. , KUMAR K. KIRAN 
Published: September 2022

Abstract
The present studies were done for identifying and evaluating the female sex pheromone of red hairy caterpillar; Amsacta albistriga. Four pheromone components were identified from female A. albistriga as Octa decanal, (Z, Z)-9,12-Octa decadienal, (Z, Z, Z)-9,12,15-Octa decatrienal and (Z,Z,Z)-3,6,9-Heneicosatriene and were synthesized at IICT, Hyderabad into 4 blends. These blends were tested in laboratory conditions against mated and unmated male A. albistriga. Studies revealed that slow olfactory receptor potentials could be recorded from an isolated antenna positioned between two glass capillary microelectrodes connected to an amplifier and a recording instrument. The mated and unmated male A. albistriga were responded differently for EAG studies and antennal response was observed at 10 milli volts for mated insects and > 20 milli volts for unmated one. Among all the four blends, blend 3 was effective in capturing the male A. albistriga in preliminary lab and field studies. These studies are useful for developing integrated management strategy with pheromone lures and traps in red hairy caterpillar management.
Prediction of phosphoric acid plus hydrogen peroxide (PHP) pretreatment efficiency using artificial neural network modeling
Authors: Wang Qing , Hu Jinguang , Zhao Li , Huang Mei , Tian Dong , Zeng Yongmei , Deng Shihuai , Shen Fei , Zhang Xinquan 
Published: September 2022

Abstract
Cellulose from lignocellulosic biomass is the most promising renewable feedstock which may become a substitute for petrochemical products. However, it is challenging to extract cellulose from biomass because of the structural resistance of lignocellulose. Phosphoric acid plus hydrogen peroxide (PHP) pretreatment is an efficient approach that might be applied to get the cellulose-enriched fraction (CEF) from biomass. This study employed the artificial neural network (ANN) to predict the PHP pretreatment efficiency. The critical conditions, including pretreatment time (t), temperature (T), H3PO4 concentration (Cp), and H2O2 concentration (Ch), were employed as input variables for the ANN model to predict the output variables: cellulose content (C-C), cellulose recovery (C-Ry), hemicellulose removal (H-Rl), and lignin removal (L-Rl). The key parameters of ANN models are selected depending on the root mean square errors (RMSE). ANN models' final optimal topological structure contains one hidden layer with 9, 10, 10, and 12 neurons for C-C, C-Ry, H-Rl, and L-Rl, respectively. The actual testing data fit the predicted data with an R2 of 0.8070–0.9989. Additionally, we computed the relative importance (RI) of input variables on output variables using the Garson equation with net weight matrixes. And the results revealed that Cp and Ch (RI 12.0–62.6%) impacted the effectiveness of PHP pretreatment primarily. T (RI 78.6%) dominates the removal efficacy of hemicellulose, and t (RI 9.5–24.6%) has less influence compared to the other conditions. The study provides insights into the optimization of biomass pretreatment.
Use of Power Burr X Distribution in the Analysis of Wind Speed for Certain Regions of Pakistan
Authors: Usman Rana Muhammad , Ilyas Maryam 
Published: September 2022

Abstract
A Country’s progress and development are mainly dependent on its indigenous energy supply capacity. For the past few decades, Pakistan is facing a severe energy crisis mainly due to political instability and a lack of renewable energy policies designed by the present as well as previous governments. According to Pakistan economic survey 2019-20, still, there is a shortfall of about 3000MW in the electrical sector for the summer of 2020. Wind speed models can be utilized for developing effective policies for the production of efficient renewable resources. In this study, power Burr X distribution was utilized as an alternative probabilistic model for the better evaluation of wind energy potential. The performance of the model is observed for wind speed data taken from different locations of Sindh province in Pakistan. The findings indicate that the power Burr X distribution is more preferable for the evaluation of wind speed potential as compared to Weibull and other wind speed distributions.
Medial meniscus extrusion is invariably observed and consistent with tibial osteophyte width in elderly populations: The Bunkyo Health Study
Authors: NEGISHI Yoshifumi , KANEKO Haruka , AOKI Takako , LIU Lizu , ADILI Arepati , ARITA Hitoshi , HADA Shinnosuke , MOMOEDA Masahiro , HUANG Hui , TOMURA Jun , WAKANA Suguru , SHIOZAWA Jun , KUBOTA Mitsuaki , SOMEYA Yuki , TAMURA Yoshifumi , AOKI Shigeki , WATADA Hirotaka , KAWAMORI Ryuzo , NEGISHI-KOGA Takako , OKADA Yasunori , ISHIJIMA Muneaki 
Published: September 2022

Abstract
We reported that full-length width of medial tibial osteophyte composed of cartilage and bone parts is directly correlated with medial meniscus extrusion (MME) in early-stage knee osteoarthritis (OA). However, no data are available for MME prevalence and its relationship to osteophyte in elderlies. 1,191 elderlies (females 57%; 72.9 years old on average) in the Bunkyo Health Study underwent standing plain radiograph and proton density-weighted MRI on knee joints. MRI-detected OA changes were evaluated according to the Whole Organ Magnetic Resonance Imaging Score. A new method to assess cartilage and bone parts of osteophyte was developed by pseudo-coloring images of proton density-weighted fat-suppressed MRI. Most of the subjects showed the Kellgren-Lawrence grade 1 or 2 of radiographic medial knee OA (88.1%), MME (98.7%, 3.90 ± 2.01 mm) and medial tibial osteophyte (99.3%, 3.27 ± 1.50 mm). Among the OA changes, MME was most closely associated with full-length width of medial tibial osteophyte (β = 1.114; 95%CI, 1.069–1.159; p < 0.001) and consistent with osteophyte width (intraclass correlation coefficient, 0.804; 95%CI, 0.783–0.823). Our data reveal that MME and medial tibial osteophyte are invariably observed in elderlies, and demonstrate that degree of MME is consistent with the full-length width of medial tibial osteophyte, suggesting that osteophyte might be implicated for MME.
A survey of electroencephalography open datasets and their applications in deep learning
Authors: Nogales Alberto , García-Tejedor Álvaro 
Published: September 2022

Abstract
Artificial intelligence is directly linked to data. Depending on the structure, we can classify data into different categories. The medical field encompasses them by considering various tests from other specialties. Medical data are complex to study and challenging to collect, so open datasets are golden for researchers. This paper aims to identify the primary open datasets of electroencephalography tests and their use with deep learning models. The process consisted of following the PRISMA methodology for systematic reviews. The databases included were Scopus, PubMed, Web Of Science, and Science Direct. In total, 37 datasets have been analyzed. The main conclusions said that convolutional neural networks are widely used alongside the 10-20 electrodes system.
Interaction of Genetics, Amyloid-beta and Inflammation as Mediators of Brain Structure Change in Cognitive Decline
Authors: Jin Yin , Drineas Petros , Rochet Chris , Paschou Peristera 
Published: September 2022

Abstract
In the presence of AD pathologies, the genetic architecture of brain structure changes related to progressive cognitive deterioration is not well examined. Here, we seek to shed light in the interplay of inflammation, amyloid-beta, and genetic background influencing brain structure changes. We studied 12-month changes in neuroimaging, inflammation and Aβ42/Aβ40 in 1322 individuals (ADNI cohort) and ran GWAS as well as SNP effect concordance analysis to test for genetic pleiotropy of identified risk variants. We uncovered genome-wide significant hits for structural change in nine brain regions, as well as change in inflammatory and Aβ42/Aβ40 biomarkers. We also found significant evidence of pleiotropy and concordance for several of the implicated genetic variants. Conditioning on inflammatory and Aβ42/Aβ40 biomarkers, novel variants that underlie brain structure change were identified. Amyloid-beta could interact with inflammatory biomarkers to affect brain structures via SNP-SNP interaction. Our findings point to the Interaction of amyloid-beta and inflammation as mediators of brain structure change and associated cognitive decline in AD and shed light into the underlying genetic background.
Coherent Tunneling in Serially Coupled Double Quantum Dots: A Theoretical Treatment
Authors: Handhal Marwa H. 
Published: September 2022

Abstract
In this article, through serially (one level) coupled double quantum dots made of different semiconductor materials, a physical model for studying spin-polarized electrons current under coherent tunneling effect, and Rashba spin-orbit effect, RSO, is presented in this article. A magnetic field influences Zeeman splitting of the two dots for a different Zeeman splitting. The DQD system combines two energy levels with the same spin, resulting in a coherent tunneling effect. As a function of the detuning energy (ϵ), the tunneling spin-polarized current and polarization are calculated. Using coherent tunneling, Rashba spin-orbit effect, and external magnetic field, I see that the polarization can be controlled exhaustively. Lastly, we have calculated that this system can be used as a spin filter to generate a strong spin-polarized current.
Comparative analysis of the mitochondrial genomes of two fish species Channa striata and Channa punctata using codon usage bias and their evolutionary relationship
Authors: Das Joydeep Chandra , Chakraborty Supriyo 
Published: September 2022

Abstract
Codon usage bias (CUB) occurs when certain codons are utilized more repeatedly than the other synonymous codons for the same amino acid in the coding sequences of genes. The investigation of CUB aids in the understanding of optimal codons, gene expression, protein production and trends of evolution. In our study, CUB was explored for the mitochondrial protein coding genes of Channa striata and Channa punctata, estimating their base contents, identifying over-represented and under-represented codons, and determining the factors contributing to the codon usage bias. The base compositions of the two fishes showed the trend C>T>A>G and the GC composition was in the order GC1>GC3>GC2. The average ENC value in both sets of coding sequences was >35, indicating a lower CUB. The mitochondrial genomes of the two fishes are AT-rich. In Channa striata, 8 codons were found to be over-represented, and 14 codons were under-represented. On the other hand, Channa punctata showed 9 over-represented codons and 18 under-represented codons across the coding sequences in mt-genome. Among the over-represented codons, CTA, ACC, AAA and GAA were found in Channa striataand not in Channa punctata. Whereas, the over-represented codons CTC, CAA, GTC, GAC and GGC were found in Channa punctata and not in Channa striata. The results suggested that both the evolutionary processes viz. selective pressure and mutation governed the codon usage arrangement in the mitochondrial genes of the two freshwater fishes.
Analysis of volatile compounds of black bean, mung bean, and soybean extracts prepared with distillation under reduced pressure-continuous liquid–liquid extraction and hot water extraction
Authors: Han Eunji , Ahn Hyunwoo , Lee Seongho , Lee Kwang-Geun 
Published: September 2022

Abstract
Beans are cultivated world-widely and are well-known for being abundant in proteins (20–25%), carbohydrates (50–60%), minerals and vitamins. Several researchers studied the volatile aroma constituents of beans but have not researched the effect of particle size and extraction temperature of beans. Therefore, in our research, volatile compounds of various beans (black bean, mung bean, and soybean) were analyzed on the basis of particle sizes and extraction temperatures by two extraction methods, namely, distillation under reduced pressure-continuous liquid–liquid extraction (DRP-LLE) and hot water extraction. The experimental results confirmed the presence of 10 volatile components. The five major volatile compounds were hexanal, 2-methyl-1-butanol, 1-hexanol, 1-octen-3-ol and benzaldehyde. The highest total volatile compound concentrations in the extracts of black bean, mung bean, and soybean by using DRP-LLE were obtained at 60°C and 355–500 µm, 60°C and 500–710 µm, and 50°C and 355–500 µm, respectively. For the same particle size, the total volatile compound concentrations in the extracts of black bean, mung bean, and soybean obtained by HWE at 70°C were 2–3 times significantly higher than those obtained at 90°C. Moreover, the highest total volatile compound concentration was obtained in the black bean extract by HWE at 500–710 µm, while the lowest total volatile compound concentration in the soybean extract was obtained by HWE at 500–710 µm. The total concentrations of volatiles in the black bean and soybean extracts obtained by DRP-LLE were significantly higher than those obtained by HWE.
A Comparative Role of Competent Microbes for Value-added Composting of Agricultural Waste
Authors: Naeem Urooj , Afzaal Muhammad , Haq Irfan ul , Qazi Akram , Naeem Ammar , Mahfooz Yusra 
Published: September 2022

Abstract
The current study aimed to explore non-pathogenic, non-aflatoxigenic and competent microbial isolates accountable for producing hydrolytic enzymes and plant growth-stimulating hormones for proficient and augmented conversion of agricultural waste press mud (PM) into biofertilizer through composting. Four bacterial (B. altitudinis CD2E, P. aeruginosa CD6C, B. velezensis BS2, B. wiedmannii BTA) and one fungal isolate (A. niger PM-4) were selected for microbial inoculum formulation for composting of PM heaps in different treatments. The compatibility studies found that the bacterial isolates were compatible with each other, however, A. niger PM-4 was found non-compatible with P. aeruginosa CD6C and B. velezensis BS2. The heap containing bacterial consortium T3 (PM + consortium) found its maturity on the 21st day by reducing more C/N, total organic carbon (TOC), higher total Kjeldahl nitrogen (TKN) 2.15+0.02%, total phosphorous (TP) (1.42+0.01%), and total potassium (TK) (1.0+0.03%) than any other treatments.
Is prone position [18F]FDG PET/CT useful in reducing respiratory motion artifacts in evaluating hepatic lesions?
Authors: Lee Chung won , Son Hye Joo , Woo Ji Young , Lee Suk Hyun 
Published: September 2022

Abstract
Objectives: The prone position is useful in reducing respiratory motion artifacts in lung nodules on 2-Deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron-emission tomography/computed tomography (PET/CT). However, whether prone position PET/CT (pPET/CT) is useful in evaluating hepatic lesions is unknown.
Methods: Thirty-five hepatic lesions (size, 13.0 ± 5.8 mm) from 20 consecutive patients (age, 67.0 ± 9.7 years) were evaluated. The maximum standardized uptake value (SUVmax) and metabolic tumor volume (MTV) of both pPET/CT and standard supine position PET/CT (sPET/CT) were evaluated.
Results: No significant difference in SUVmax (4.41 ± 2.0 vs. 4.23 ± 1.83; p = 0.240) and MTV (5.83 ± 6.69 vs. 5.95 ± 6.24; p = 0.672) was observed between sPET/CT and pPET/CT. However, SUVmax changes on pPET/CT varied compared with those on sPET/CT (median, −4%; range: −30%–71%). pPET/CT was helpful when the [18F]FDG uptake of the hepatic lesions was located outside the liver on sPET/CT (n = 4, SUVmax change: median 15%; range: 7%–71%) and more severe blurring on sPET/CT (n = 6, SUVmax change: median 11%; range: −3%–32%).
Conclusions:The SUVmax of hepatic lesions varies on pPET/CT compared with that on sPET/CT, and pPET/CT may be helpful in individual cases.
A Model of Competition between Mom-and-Pops and Supermarkets with Heterogeneous Goods
Authors: Kwak Juwon , Mossay Pascal 
Published: September 2022

Abstract
Consumers have access to a larger range of goods when shopping at large-scale supermarkets. One-stop shopping provides supermarkets with a competitive advantage over mom-and-pops as demand-side economies of scope allow consumers to save on traveling costs. The purchase frequency of goods, an often-neglected factor in the literature, affects the competition among stores as more frequently purchased goods involve more trips and, therefore, higher traveling costs. We set up a model of spatial competition between a large supermarket and mom-and-pop selling goods of different purchase frequencies by relaxing the one-stop shopping assumption. Mom-and-pops’ profit function is shown to be supermodular and expresses the complementarity between the purchase frequency of the good and access to consumers. Competition in the land market leads mom-and-pops to locate close to consumers and to sort across locations in descending order of the purchase frequency of the good they are selling, while the supermarket is located further away, where land is cheaper. Furthermore, we also show that mom-and-pops, selling seldomly-purchased goods, are more exposed to competition with the supermarket and are eventually driven out of the market.
Nuclear Magnetic Resonance Spectroscopy (NMR) guided structural characterization of Anti-leukemic secondary metabolite isolation from the sponge derived fungus Penicillium verruculosum (XWSO1F60) and its perspective In-silico docking.
Authors: Kaliaperumal Kumaravel , Subramanian Aravind Kumar , Subramanian Kumaran , Sahu Sunil Kumar , Ju Zhiran , Sivasankar Palaniappan , Bhushan Tyagi Vaibhav , Liu Yonghong 
Published: September 2022

Abstract
Background: Marine sponges are sedentary invertebrates that are found in temperate, arctic, and tropical climates. They are well known for contributing significant bioactive substances with pharmacological values which are recovered from the marine environment. Sponge-associated symbiotic microbes like bacteria and fungi tend to produce secondary metabolites which act as a defensive compound to protect the sponges from their predators. Sponge-associated fungal secondary metabolites are a diverse group of natural chemical products with biomedical relevance. Henceforth this study is aimed to evaluate the bioactive secondary metabolites produced by a sponge (Spongia officinalis) derived fungus Penicillium verruculosum (XWSO1F60).
Results: An organic ethyl acetate extract of Penicillium verruculosum sponge-derived endophytic fungi from Spongia officinalis yielded ten different secondary metabolites as averufin (1), aspergilol-A (2), rac-butyrolactone (3), methyl emodin (4), tajixanthone hydrate (5), pseudaboydin A (6), rugluxanthone-B (7), cordyol-C (8), diorcinol (9), 2’-deoxythymidine (10), which are characterized by NMR spectral studies. All ten compounds were subjected were bioactivity screening of anticancer, antimicrobial, antituberculosis, and antiviral. Among those, averufin (1), shows strong anticancer activity towards human HL60 cell lines with the IC50 concentration of 1.005 (µm), as plausible to that of standard drug taxol. Consecutive molecular docking approach of averufin with HL60 antigens revealed that ligand target bindings of averufin with the HL60 antigens are very strong enough with good pharmacokinetic properties.
Conclusion: As a concluding remark of this present investigation, sponge-derived fungus Penicillium verruculosum leads to the isolation of an anticancer metabolite named Averufin against the HL60-lung cancer cell line. Aspergilol-A is the first time reported from the fungus Penicillium verruculosum.
SRSF9 overexpression inhibits HIV-1 production by upregulating the HIV-1 mRNA splicing
Authors: Kim GaNa , Yu KyungLee , Kim HaeIn , You JiChang 
Published: September 2022

Abstract
Serine-arginine-rich splicing factors (SRSFs) are members of RNA processing proteins in the serine-arginine-rich (SR) family that could regulate the alternative splicing of the human immunodeficiency virus-1 (HIV-1). Whether SRSF9 has any effect on HIV-1 regulation requires elucidation. Here, we report for the first time the effects and mechanisms of SRSF9 on HIV-1 regulation. The overexpression of SRSF9 inhibits viral production and infectivity in both HEK293T and MT-4 cells. Deletion analysis of SRSF9 determined that the RNA regulation motif domain of SRSF9 is important for anti-HIV-1 effects. Furthermore, overexpression of SRSF9 increases multiple spliced forms of viral mRNA, such as Vpr mRNA. These data suggest that SRSF9 is another gene expression regulator of HIV-1 that could be exploited further for a novel HIV-1 therapeutic molecule.
WITHDRAWN: Development of a quantitative screening method for 100 pesticides in plant- derived foods using comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry
Authors: Wang Kuan , Jiao Bin , Almvik Marit , Dong Fengshou , Pan Xinglu , Wu Xiaohu , Xu Jun , Liu Xingang , Zheng Yongquan 
Published: September 2022

Abstract
This study applied comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GC×GC-TOF-MS) for the analysis of 100 pesticides (77 organophosphorus and 23 organochlorines) in six typical plant matrices with high protein, starch, acid, or oil content. Different sorbents were evaluated in the clean-up step of the QuEChERS method, and the optimized sorbent combinations were obtained for each individual matrix. Good linearity of the calibration curves of matrix-matched was obtained (R2 ≥ 0.9853). The mean recoveries and relative standard deviations at fortification levels of 10 and 50 μg/kg ranged from 72.6 to 117.5% and 0.1 to 19.9%, respectively. Phenolic antioxidants, glycosides, phosphorus esters, linoleic acid, unsaturated fatty acids, and other interferences in individual plant matrix were identified. The results demonstrated that GC×GC-TOF-MS is helpful in separation of the co-eluted pesticides and the identification of interferences in complex plant matrices.
A Note on Exponential Length Substrings in Pattern Matching
Authors: Ulmeanu Vlad-Adrian 
Published: September 2022

Abstract
This note describes a hash-based mass-searching algorithm, finding (count, location of first match) entries from a dictionary against a string \(s\) of length \(n\) . The presented implementation makes use of all substrings of $s$ whose lengths are powers of \(2\) to construct an offline algorithm that can, in some cases, reach a complexity of \(O(n \log^2n)\) even if there are \(O(n^2)\) possible matches. If there is a limit on the dictionary size \(m\) , then the precalculation complexity is \(O(m + n \log^2n)\) , and the search complexity is bounded by \(O(\min (n \sqrt m \log n, \, n^2 \log n))\) , even if it performs better in practice.