bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feature Extraction from MRI ADC Images for Brain Tumor Classification Using Machine Learning Techniques
Authors: Vijithananda Sahan M. , Jayatilake Mohan L. , Hewavithana Badra , Gonçalves Teresa , Rato Luis M. , Weerakoon Bimali S. , Kalupahana Tharindu D. , Silva Anil D. , Dissanayake Karuna D. 
Published: January 2022

Abstract
Background: Diffusion-weighted (DW) imaging is a well-recognized magnetic resonance imaging (MRI) technique that is being routinely used in brain examinations in modern clinical radiology practices. This study focuses on extracting demographic and texture features from MRI Apparent Diffusion Coefficient (ADC) images of human brain tumors, identifying the distribution patterns of each feature and applying Machine Learning (ML) techniques to differentiate malignant from benign brain tumors.Methods: This prospective study was carried out using 1599 labeled MRI brain ADC image slices, 995 malignant, 604 benign from 195 patients who were radiologically diagnosed and histopathologically confirmed as brain tumor patients.The demographics, mean pixel values, skewness, kurtosis, features of Grey Level Co-occurrence Matrix (GLCM), mean, variance, energy, entropy, contrast, homogeneity, correlation, prominence and shade, were extracted from MRI ADC images of each patient.At the feature selection phase, the validity of the extracted features were measured using ANOVA f-test. Then, these features were used as input to several Machine Learning classification algorithms and the respective models were assessed.Results: According to the results of ANOVA f-test feature selection process, two attributes: skewness (3.34) and GLCM homogeneity (3.45) scored the lowest ANOVA f-test scores. Therefore both features were excluded in continuation of the experiment. From the different tested ML algorithms, the Random Forest classifier was chosen to build the final ML model since it presented the highest accuracy. The final model was able to predict malignant and benign neoplasms with an 90.41% accuracy after the hyper parameter tuning process.Conclusion: This study concludes that the above mentioned features (except skewness and GLCM homogeneity) are informative to identify and differentiate malignant from benign brain tumors. Moreover, they enable the development of a high-performance ML model that has the ability to assist in the decision-making steps of brain tumor diagnosis process, prior to attempting invasive diagnostic procedures such as brain biopsies.
Identifying Long-range Synaptic Inputs Using Genetically Encoded Labels and Volume Electron Microscopy
Authors: Ayuso-Jimeno Irene P. , Ronchi Paolo , Wang Tianzi , Gallori Catherine , Gross Cornelius T. 
Published: January 2022

Abstract
Enzymes that facilitate the local deposition of electron dense reaction products have been widely used as labels in electron microscopy (EM). Peroxidases, in particular, can efficiently metabolize 3,3′-diaminobenzidine tetrahydrochloride hydrate (DAB) to produce precipitates with high contrast under EM following heavy metal staining, and can be genetically encoded to facilitate the labeling of specific cell-types or organelles. Nevertheless, the peroxidase/DAB method has so far not been reported to work in combination with 3D volume EM techniques (e.g. Serial blockface electron microscopy, SBEM; Focused ion beam electron microscopy, FIBSEM) because the surfactant treatment needed for efficient reagent penetration disrupts tissue ultrastructure and because these methods require the deposition of large amounts of heavy metals that can obscure DAB precipitates. However, a recently described peroxidase with enhanced enzymatic activity (dAPEX2) appears to successfully deposit EM-visible DAB products in thick tissue without surfactant treatment. Here we demonstrate that multiplexed dAPEX2/DAB tagging is compatible with both FIBSEM and SBEM volume EM approaches and use them to map long-range genetically identified synaptic inputs from the anterior cingulate cortex to the periaqueductal gray in the mouse brain.
Tailoring Pullulanase PulAR from Anoxybacillus sp. AR-29 for Enhanced Catalytic Performance by A Structure-Guided Consensus Approach
Authors: Li Shu-Fang , Xu Shen-Yuan , Wang Ya-Jun , Zheng Yu-Guo 
Published: January 2022

Abstract
Pullulanase is a well-known debranching enzyme that can specially hydrolyze α-1,6-glycosidic linkages in starch and oligosaccharides, however, it suffers from low stability and catalytic efficiency under industrial conditions. In the present study, four sites (A365, V401, H499, and T504) lining the catalytic pocket of Anoxybacillus sp. AR-29 pullulanase PulAR were selected for site-directed mutagenesis (SDM) by using a structure-guided consensus approach. Four beneficial mutants (PulAR-A365V, PulAR-V401C, PulAR-A365/V401C, PulAR-A365V/V401C/T504V, and PulAR-A365V/V401C/T504V/H499A) were created, which showed enhanced thermostability, pH stability, and catalytic efficiency. Among them, the quadruple mutant PulAR-A365V/V401C/T504V/H499A displayed 6.6- and 9.6-fold higher catalytic efficiency toward pullulan at 60 ℃, pH 5.0 and 6.0, respectively. In addition, its thermostabilities at 60 ℃ and 65 ℃ were improved by 2.6- and 3.1-fold, respectively, compared to those of the wild-type (WT). Meanwhile, its pH stabilities at pH 4.5 and 5.0 were 1.6- and 1.8-fold higher than those of WT, respectively. In summary, the catalytic performance of PulAR was significantly enhanced via rational engineering by a structure-guided consensus approach. The resultant quadruple mutant PulAR-A365V/V401C/T504V/H499A demonstrated potential applications in the starch industry.
Young Nursing and Medical Students’ Knowledge and Attitudes Toward Contraceptive Methods
Authors: Juan-Pablo Scarano-Pereira , Alessandro Martinino , Manicone Francesca , Cristina Álvarez-García , Lucía Ortega-Donaire , María-Zoraida Clavijo-Chamorro , M López- Medina Isabel , Carmen Álvarez-Nieto , Sebastián Sanz-Martos 
Published: January 2022

Abstract
Background: Living sexuality fully and without risk to one's health is an international priority. The youth age group has specific characteristics that make it a particularly vulnerable group for adverse consequences such as unwanted pregnancies or sexually transmitted infections. Health professionals are an important group to address this issue; however, to achieve a good result, sufficient knowledge is required to solve all the issues. This study aimed to assess the level of knowledge of young university students studying toward a nursing or medical degree.Methods: A descriptive cross-sectional study of young medical and nursing students was conducted. The Sexuality and Contraceptive Knowledge Instrument scale was used to measure knowledge level. A bivariate analysis was conducted using the Mann–Whitney U test or the Kruskal–Wallis H test, depending on the number of categories of the independent variable. Finally, a multivariate analysis was conducted using a multiple linear regression model, establishing the level of knowledge as the dependent variable and all variables that obtained statistical significance in the bivariate analysis as predictors.Results: Participants had a good level of knowledge, with 77.9% answering 50% of the questions correctly. Before training, 34.15% of the participants did not pass 50% of the questions asked. This percentage decreased to 12.87% after receiving sexuality training during the university degrees. The main training gaps were found for the items on hormonal contraceptive methods. The bivariate analysis showed that female participants had significantly higher knowledge scores, as did those who had used a hormonal contraceptive method during the most recent intercourse or were aware of family planning centers. These variables maintained their significant effect at the multivariate level, obtaining two models with good explanatory power for participants of both university degrees. Conclusion: The general level of knowledge of the healthcare students was high and sufficient after receiving training during the university degree. The main training gap was found for items on hormonal contraceptive methods, which should be emphasized in future training programs.
Molecular Characterization and Transmission Study of the Begomovirus on Hollyhock Plant Causing Leaf Curl Disease for the First Time in Province Punjab, Pakistan
Authors: Azeem Hajra , Perveen Rashida , Tahir Muhammad Nouman , Umar Ummad-ud-din , Ölmez Fatih , Ali Amjad 
Published: January 2022

Abstract
I. Background: Hollyhock (Alcea rosea) is an ornamental plant belonging to the Malvaceae family and has a remarkable aesthetic and medicinal value. Previously in Pakistan, the hollyhock plant was not found to be infected by begomovirus and the plant first time showed the symptoms of typical leaf curling, puckering as well as thickened veins. II. Methods and Results: During the year 2018, symptomatic samples of the hollyhock plants were collected that exhibited characteristic typical leaf curling, puckering as well as thickened veins. DNA was extracted from the samples and the PCR technique was optimized for the detection of begomovirus followed by sequencing. The samples were detected to be infected with begomovirus by using Av/Ac core, Begomo 01/02, and CLCV 01/02 primer showed positive results with 579bp, 2.8kb, and 1.1kb nucleotide respectively. The betasatellite was amplified by using beta01/02 and CLCuMuBF11/R33 showed positive results with 1400bp and 481bp respectively. Sequencing results showed that diseased hollyhock plants were associated with Cotton leaf curl Multan virus-Rajasthan strain along with Cotton leaf curl Multan betasatellite. III. Conclusion: Hollyhock plants infected by begomovirus has been reported for the first time as a possible source of virus inoculum from Pakistan.
Comparative Study of the Effect of Solvents on the Efficacy of Neonicotinoid Insecticides Against Malaria Vector Populations Across Africa
Authors: Tchouakui Magellan , Assatse Tatiane , Mugenzi Leon M. J. , Menze Benjamin D. , Nguiffo-Nguete Daniel , Tchapga Williams , Kayondo Jonathan , Watsenga Francis , Manzambi Emile Zola , Osae Michael , Wondji Charles S. 
Published: January 2022

Abstract
Background New insecticides with a novel mode of action such as neonicotinoids have recently been recommended for public health by WHO. Resistance monitoring of such novel insecticides requires a robust protocol to monitor the development of resistance in natural populations. In this study, we comparatively used three different solvents to assess the susceptibility of malaria vectors to neonicotinoids across Africa.MethodsMosquitoes were collected from May to July 2021 from three agricultural settings in Cameroon (Njombe-Penja, Nkolondom, and Mangoum), the Democratic Republic of Congo (Ndjili-Brasserie), Ghana (Obuasi), and Uganda (Mayuge). Using the CDC bottle test, we compared the effect of three different solvents (ethanol, acetone, MERO) on the efficacy of neonicotinoids against Anopheles gambiae s.l. In addition, TaqMan assays were used to genotype key pyrethroid-resistant markers in An. gambiae and to evaluate potential cross-resistance between pyrethroids and clothianidin.ResultsLower mortality were observed when using absolute ethanol or acetone alone as solvent (11.4- 51.9% mortality in Nkolondom, 31.7- 48.2% in Mangoum, 34.6- 56.1% in Mayµge, 39.4- 45.6% in Obuasi, 83.7- 89.3% in Congo and 71.05- 95.9% in Njombe pendja) compared to acetone + MERO for which 100% mortality were observed for all the populations. Synergist assays (PBO, DEM and DEF) revealed a significant increase of mortality suggesting that metabolic resistance mechanisms are contributing to the reduced susceptibility. A negative association was observed between the L1014F-kdr mutation and clothianidin resistance with a greater frequency of homozygote resistant mosquitoes among the dead than among survivors (OR=0.5; P=0.02). However, the I114T-GSTe2 was in contrast significantly associated with a greater ability to survive clothianidin with a higher frequency of homozygote resistant among survivors than other genotypes (OR=2.10; P=0.013). ConclusionsThis study revealed a contrasted susceptibility pattern depending on the solvents with ethanol/acetone resulting to lower mortality, thus possibly overestimating resistance, whereas the MERO consistently showed a greater efficacy of neonicotinoids but it could prevent to detect early resistance development. Therefore, we recommend monitoring the susceptibility using both acetone alone and acetone+MERO (8-10µg/ml for clothianidin) to capture the accurate resistance profile of the mosquito populations.
Effects of the Pathological E200K Mutation on Human Prion Protein: A Computational screening and Molecular Dynamic approach
Authors: Gharemirshamloo Fatemeh Rahimi , Majumder Ranabir , Bamdad Kourosh , Frootan Fateme , Un Cemal 
Published: January 2022

Abstract
The Human Prion protein gene (PRNP) is mapped to short arm of chromosome 20 (20pter-12). Prion disease is associated with mutations in the Prion Protein encoding gene sequence. The mutations that occur in the prion protein could be divided into two types based on their influence on pathogenic potential: 1. Mutations that cause disease. 2. Disease-resistance mutations. Earlier studies found that the mutation G127V in the PRNP increases protein stability, whereas the mutation E200K, which has the highest mutation rate in the Prion protein, causes Creutzfeldt–Jakob disease (CJD) in humans and induces protein aggregation. We used a variety of bioinformatic algorithms, including SIFT, PolyPhen, I-Mutant, PhD-SNP, and SNP&GO, to predict the association of the E200K mutation with Prion disease. MD simulation is performed and graphs for RMSD, RMSF, Rg, DSSP, PCA, porcupine and FEL are generated to confirm and prove the stability of the wild type and mutant protein structures. The protein is analyzed for aggregation, and the results indicates more fluctuations in the protein structure during the simulation by the E200K mutation, however the G127V mutation makes protein structure stable against aggregation during the simulation.
Integrating crop redistribution and improved managements could meet China’s food demand with lower environmental costs
Authors: Wang Zihan , Yin Yulong , Wang Yingcheng , Tian Xingshuai , Ying Hao , Zhang Qingsong , Xue Yanfang , Zhou Feng , Du Mingxi , Ma Lin , Zhang Fusuo , Cui Zhenling 
Published: January 2022

Abstract
Sustainably feeding the growing population in China attracts attention globally. Despite practices success, producing enough food to simultaneously address resource and pollution problems has been infeasible. To assess how to achieve this goal in 2035, we created a pathway that synergistic combining improved managements and cropland redistribution based on 11.1 million farmer surveys and 4,272 georeferenced field observations. Here, we firstly selected the practices of top 10% performers in crop yield and nitrogen (N) efficiency as crop-specific attainable improved managements at the county level. The optimized crop distribution within improved managements was then performed to minimize inputs (N and phosphorus fertilizer, irrigation water) or environmental impacts (reactive N [Nr] loss and greenhouse gas [GHG] emissions). We identified that combing improved managements and cropland redistribution could produce enough food demands in 2035, with 24% more production compared to 2012. It also reduced the inputs and environmental impacts in a range of 19%-35%, mainly sourced from the central and eastern coastal areas by improved productivity and diminished cropland of fruit and vegetables. These findings highlight the necessity for a synergistic combination of measures to sustainably feed the growing population and establish a more realistic and effective policy.
Advanced Glycation End-products Are Associated With Limited Range of Motion of the Shoulder Joint Following Rotator Cuff Tears
Authors: Shinohara Issei , Mifune Yutaka , Inui Atsuyuki , Nishimoto Hanako , Yamaura Kohei , Mukohara Shintaro , Yoshikawa Tomoya , Kato Tatsuo , Furukawa Takahiro , Hoshino Yuichi , Matsushita Takehiko , Kuroda Ryosuke 
Published: January 2022

Abstract
Background: Most degenerative rotator cuff tears (RCTs) are associated with a limited range of motion (ROM) of the shoulder joint. Additionally, patients with diabetes mellitus (DM) show a higher frequency of limited ROM. Recently, advanced glycation end products (AGEs) of proteins have been observed to cause tissue fibrosis, primarily through abnormal collagen cross-linking and oxidative stress. In this study, we investigated the effect of AGEs on ROM limitation in the shoulder capsule and its relationship with DM.Methods: 16 patients (8 each in the DM and non-DM groups) who underwent arthroscopic surgery for RCT with limited shoulder ROM were included in this study. AGE-related pathologies in both groups were compared, and the relationship between AGE accumulation and shoulder joint ROM was evaluated. Shoulder capsule tissue was harvested and subjected to histological and in vitro evaluation. Results: The DM group displayed high levels of AGEs and reactive oxygen species (ROS), and reduced cell viability. There was a significant positive correlation between ROS expression, apoptosis, and preoperative hemoglobin A1c. ROS expression, apoptosis, and ROM of the shoulder joint showed a negative correlation. The NADPH oxidase (NOX) expression and collagen III/I ratio were significantly higher in the DM group than in the non-DM group.Conclusions: The DM group showed significant AGE deposition in the shoulder capsule. Additionally, there was a significant association between AGEs and ROM limitation. The oxidative stress induced by AGE deposition, which leads to fibrosis and local inflammation, might contribute to the limited ROM of the shoulder joint.
Impact of Wetland Development and Degradation on the Livelihoods of Wetland-Dependent Communities: A Case Study from the Lower Gangetic Floodplains
Authors: Adhya Tiasa , Banerjee Sayan 
Published: January 2022

Abstract
Wetland ecosystem services exceed those provided by terrestrial ecosystems and their ‘wise use’ has implications for achieving sustainable development goals. Yet we have lost almost 87% of wetlands since pre-industrial times with losses projected to be much higher by 2050 in developing economies, particularly in Asia. Little is known about how this loss impacts people’s dependency at local scales in human-dominated landscapes. We identified 18 ecosystem services of Dankuni wetlands located in the Lower Gangetic Floodplains by analysing oral testimonies of wetland-dependent villagers. The ecosystem services include 12 provisioning services and two each of regulatory, cultural and supporting services. Farming and use of wetland products including molluscs, fuelwood, fodder, fibre and fish was found to subsidize living costs and provide diverse livelihood options to local residents. Encroachment of wetlands by factories and blockage of its riverine connection was reportedly degrading the wetland’s quality and eroding its ecosystem services since the last 20 years and especially since the last three years. In years of excessive and unseasonal rainfall such as during the study year, post-monsoon farming was severely impacted. We portray the human costs of wetland development which will affect vulnerable sections the most, especially landless widows and older residents. Respondents believed that it was possible to rejuvenate the wetland by restoring its riverine connections but stressed that local politicians had vested interests in supporting its degradation. We strongly assert the need to increase government accountability for protection of wetlands amidst a determined pursuit of development at the cost of sustainability.
Probabilistic Cooperative Coded Forwarding for Broadcast Transmissions in Industrial Mobile Edge Communications
Authors: Huang Wenjun , Li Xu , Liang Yanan 
Published: January 2022

Abstract
Mobile edge computing (MEC) has been considered as a key enabler for the industrial internet of things (IIoT) to cope with the ever-increasing communication and computing demands of nodes. In consideration of the limited power and resource of the IIoT nodes, it is necessary to design cost-effective data sharing mechanisms for MEC-enabled wireless industrial communication networks. In this article, we propose the probabilistic cooperative coded forwarding (PCCF) scheme based on network coding (NC) to minimize the required transmission number in both the data source and relay nodes. The data packets are encoded sparsely in a systematic coding framework so that the decoding process at the receivers can be more efficient. The relationship between the forwarding and coding parameters of the proposed scheme and the successful decoding probability are comprehensively analyzed and the approximations are numerically verified. Throughout the analysis, we find the optimal sparsity of network coding vectors and also the existence of minimum transmission numbers.
Attenuated fusogenicity and pathogenicity of SARS-CoV-2 Omicron variant
Authors: Sato Kei , Suzuki Rigel , Yamasoba Daichi , Kimura Izumi , Wang Lei , Kishimoto Mai , Ito Jumpei , Morioka Yuhei , Nao Naganori , Nasser Hesham , Uriu Keiya , Kosugi Yusuke , Tsuda Masumi , Orba Yasuko , Sasaki Michihito , Shimizu Ryo , Kawabata Ryoko , Yoshimatsu Kumiko , Asakura Hiroyuki , Nagashima Mami , Sadamasu Kenji , Yoshimura Kazuhisa , Sawa Hirofumi , Ikeda Terumasa , Irie Takashi , Matsuno Keita , Tanaka Shinya , Fukuhara Takasuke 
Published: January 2022

Abstract
The emergence of a new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant, Omicron, is the most urgent concern in the global health in December 2021. Our statistical modelling estimates that Omicron is >3.0-fold and >5.6-fold more transmissible than Delta in South Africa and the UK, respectively. Intriguingly, cell culture experiments show that Omicron is less fusogenic than Delta and ancestral SARS-CoV-2. Although the spike (S) protein of Delta is efficiently cleaved into the two subunits, which facilitates cell-cell fusion, Omicron S is faintly cleaved. Further, in hamster model, Omicron shows decreased lung infectivity and is less pathogenic compared to Delta and ancestral SARS-CoV-2. Our data suggest that the efficacy of SARS-CoV-2 S cleavage and viral fusogenicity are closely associated with viral pathogenicity, and Omicron evolved to exhibit increased transmissibility and attenuated pathogenicity.