bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mutagenesis combined with fermentation optimization to enhance gibberellic acid GA3 yield in Fusarium fujikuroi
Authors: Li Ya-Wen , Yang Cai-Ling , Peng Hui , Nie Zhi-Kui , Shi Tianqiong , Huang He 
Published: August 2022

Abstract
Gibberellic acid (GA3) is a plant growth hormone that plays an important role in the production of crops, fruits and vegetables with a wide market share. Due to intrinsic advantages, liquid fermentation of Fusarium fujikuroi has become the sole method for industrial GA3 production, but the broader application of GA3 is hindered by the high production costs. In this study, we combined atmospheric and room-temperature plasma (ARTP) with ketoconazole-based screening to obtain the mutant strain 3-6-1 with high yield of GA3. Subsequently, the medium composition and fermentation parameters were systematically optimized to increase the titer of GA3, resulting in a 2.5-fold increase compared with the titer obtained under the initial conditions. Finally, considering that the strain is prone to substrate inhibition and glucose repression, a new strategy of fed-batch fermentation was adopted to increase the titer of GA3 to 575.13 mg/L, which was 13.86% higher than the control. The strategy of random mutagenesis combined with selection and fermentation optimization developed in this study provides a basis for subsequent research on the industrial production of GA3.
Integrative Multiomic Analyses of Diabetic Neuropathic Pain in Dorsal Root Ganglia: Proteomics, Phospho-proteomics, and Metabolomics
Authors: Doty Megan , Yun Sijung , Wang Yan , Hu Minghan , Cassidy Margaret , Hall Bradford , Kulkarni Ashok B. 
Published: August 2022

Abstract
Diabetic peripheral neuropathy (DPN) is characterized by spontaneous pain in the extremities. Incidence of DPN continues to rise with the global diabetes epidemic. However, there remains a lack of safe, effective analgesics to control this chronic painful condition. Dorsal root ganglia (DRG) contain soma of sensory neurons and modulate sensory signal transduction into the central nervous system. In this study, we aimed to gain a deeper understanding of changes in molecular pathways in the DRG of DPN patients with chronic pain. We recently reported transcriptomic changes in the DRG with DPN. Here, we expand upon those results with integrated metabolomic, proteomic, and phospho-proteomic analyses to compare the molecular profiles of DRG from DPN donors and DRG from control donors without diabetes or chronic pain. Our analyses identified decreases of select amino acids and phospholipid metabolites in the DRG from DPN donors, which are important for cellular maintenance. Additionally, our analyses revealed changes suggestive of extracellular matrix (ECM) remodeling and altered mRNA processing. These results reveal new insights into changes in the molecular profiles associated with DPN.
Patients and Family Caregivers’ Perceptions on Two Stress Reduction Interventions with Patients with Chronic Diabetic Foot Ulcers: A Qualitative Study
Authors: Pereira M.Graça , Pedras Susana , Louro André , Lopes Alberto , Vilaça Margarida 
Published: August 2022

Abstract
Background
The present study aimed to assess the perceptions of patients with chronic diabetic foot ulcers (DFUs) and their informal caregivers regarding the impact of two stress reduction interventions, such as a progressive muscle relaxation and hypnosis, on patients’ DFU and psychological wellbeing.
Methods
This multicenter study used a qualitative exploratory design and included individual interviews with eight patients with chronic DFUs and six family caregivers, using a semi-structured interview guide. Transcripts analysis employed thematic content analysis.
Results
Four key themes common to patients and their caregivers were found: 1) perspectives regarding the intervention; 2) intervention effectiveness; 3) the role of psychology on the DFU treatment; and 4) emotions and consequences associated with the DFU. Although themes were common to both treatment groups, sub-themes from the last two themes differed for patients that received muscle relaxation versus those who received hypnosis. One additional theme emerged from the caregiver’s interviews: 5) promotion of self care behaviors.
Conclusion
According to patients and caregivers, overall the two stress reduction interventions were beneficial for the DFU healing progression and emotional wellbeing. The hypnosis group also reported lasting effects. Participants suggested that psychological interventions such as stress reduction interventions could be included in the DFU standard treatment as an adjuvant to the clinical protocol for DFU treatment, preferably offered early on, when the patient begins treatment at the diabetic foot consultation.
Experimental Testing of Primary User Detection Using Decision Tree Algorithm With Software Defined Radio Testbed
Authors: Reddy B Siva Kumar , Deevi Nagesh 
Published: August 2022

Abstract
The concept of cognitive radio is a technology that uses radio spectrum resources to provide effective and efficient communication. The spectrum sensing function of this technology is very important in the performance of the network. One of the most common issues that the network encounters is the disruption brought on by the activity of secondary users. To avoid the interference caused by the traffic of secondary users, the network should adopt an efficient algorithm that can identify the presence of primary users. A decision tree is a classification method that can be used to determine the presence of these users. It has the advantages of high learning ability and fast processing speed. This paper presents a data collection method that uses a software defined radio to analyze the signal transmission in a real-time environment. The radio uses USRPN210 as hardware and is supported by the GNU Radio software.
Effect of stimulant medication on loss of control eating in youth with attention deficit/hyperactivity disorder: A prospective, observational case series study protocol
Authors: Keshen Aaron R. , Hilbert Anja , Taylor Victoria , Harris Anastasia L. , Trappenberg Nami , Sadek Joseph , Frank Guido K.W. , Murray Stuart B. 
Published: August 2022

Abstract
Background: Loss of control eating (LOC-E) in youth predicts the later development of full-syndrome binge-eating disorder (BED), and therefore, could be a relevant target for prevention treatments. To develop these treatments, it is important to understand the underlying disease processes and mechanisms. Based on the putative role of neurocognitive impairments in the pathogenesis of LOC-E, treatments that modulate these neurocognitive factors warrant further exploration. For instance, stimulants are an effective treatment for impulsivity in youth with attention deficit/hyperactivity disorder (ADHD) and have been shown to improve symptoms of BED in adults. Notably, stimulants have not been examined as a treatment for LOC-E in youth. To explore this gap, we aim to measure change in LOC-E episodes and secondary outcomes in youth with comorbid ADHD and LOC-E who are being started on stimulants. Methods: We will collect prospective observational data on forty 8-to-13-year-old youth diagnosed with comorbid ADHD and LOC-E who are initiating a stimulant for ADHD. Prior to stimulant initiation, participants will complete baseline measures including LOC-E episode frequency in the last 3 months (primary outcome), and secondary outcomes including disordered eating cognitions, emotions and behaviors, ADHD symptom severity, parental LOC-E, impulsivity and reward sensitivity, anxiety/mood severity. Outcome measurements will be gathered again at 3-months after initiating the stimulant. Within-patient standardized effect sizes with 95% confidence intervals will be calculated from baseline to 3-month follow-up for all outcomes. Discussion: Many individuals with LOC-E or binge eating do not fully remit over the course of psychotherapy. Whereas psychotherapy may address psychological and sociocultural domains associated with LOC-E, some individuals with neurocognitive impairments (e.g., ADHD) and neurobiological deficits (e.g., low intrasynaptic dopamine or norepinephrine) may benefit from adjunctive treatment that targets those factors. This will be the first study to provide pilot data for future studies that could examine both the effect of stimulants on LOC-E in youth and underlying mechanisms. Trial registration: Pending
Assessment of Geospatial analysis of soil properties using geostatistics models
Authors: Rao P. Smriti , Thomas Tarence , David Ashish 
Published: August 2022

Abstract

Accurate estimation of the spatial variability of soil properties is a critical component of agriculture ecosystem and environment modeling. The primary goal of this research is to determine soil characteristics and their spatial variability. The data was analysed for geographic variability using a combination of traditional analytical approaches and geostatistical methods. In October 2019, soil samples were taken from field through random sampling in Jagdalpur block of Bastar district, Chhattisgarh (India). Standard analytical procedures were used to assess pH, EC, Organic carbon, Iron, Nickel and Chromium in the soil. For direct envisaging of soil parameters, a conventional ordinary kriging (OK) interpolation was applied. Finally, by overlaying maps in a GIS context, the spatial distribution and correlation between OC and other soil parameters proclaimed.
Spin and Charge Drift-Diffusion in Ultra-Scaled MRAM Cells
Authors: Fiorentini Simone , Bendra Mario , Ender Johannes , de Orio Roberto Lacerda , Goes Wolfgang , Selberherr Siegfried , Sverdlov Viktor 
Published: August 2022

Abstract
Designing advanced single-digit shape-anisotropy MRAM cells requires an accurate evaluation of spin currents and torques in magnetic tunnel junctions (MTJs) with elongated free and reference layers. For this purpose, we extended the analysis approach successfully used in nanoscale metallic spin valves to MTJs by introducing proper boundary conditions for the spin currents at the tunnel barrier interfaces, and by employing a conductivity locally dependent on the angle between the magnetization vectors for the charge current. The experimentally measured voltage and angle dependencies of the torques acting on the free layer are thereby accurately reproduced. The switching behavior of ultra-scaled MRAM cells is in agreement with recent experiments on shape-anisotropy MTJs. Using our extended approach is absolutely essential to accurately capture the interplay of the Slonczewski and Zhang-Li torque contributions acting on a textured magnetization in composite free layers with the inclusion of several MgO barriers.
Identification and Genomic Characterization of a Novel HIV-1 Unique Recombinant Form (CRF01_AE/CRF07_BC) in Zhejiang Province, China
Authors: Fan Qin , Liu Jing , Chai Chengliang , Zhu Shuying , Fang Qionglou , Guo Zhihong , Xia Yan , Ding Xiaobei , Zhang Jiafeng 
Published: August 2022

Abstract
Mutation and recombination are important mechanisms leading to the frequent evolution and genetic diversity of HIV-1. In this study, we identified the near full-length genomic characterization of a novel HIV-1 unique recombinant form (URF) strain (Sample ID: ZJ20202195/ZJ/CHN/2020, hereafter referred to as ZJ20202195) isolated during the HIV-1 molecular surveillance in 2020 in Zhejiang Province, China, through different recombination analysis tools and phylogenetic analysis. Our results amply proved that the near full-length genome (NFLG) sequence of ZJ20202195 was a novel HIV-1 URF consisted CRF01_AE and CRF07_BC subtype, and delimited three recombinant segments, of which the Segment I (HXB2:776–5559 nucleotide (nt)) and Segment III (HXB2:6224–9412 nt) were mainly originated from CRF01_AE cluster g4a strains prevalent in China, and Segment II (HXB2:5560–6223 nt) was from CRF07_BC subtype. Overall, our findings provided insight and scientific basis into the genetic diversity and accurate determination of HIV-1 recombinant strains in China.
Simulation and Modeling of a Solar PV Connected Power System of an Institutional Building to Analyse Load Distribution and Power Quality
Authors: Mukherjee Subhajit , Pal Satadru , Mandal Ratan , Ganguly Arijit , Sarkar Badal 
Published: August 2022

Abstract
To reduce the effects of greenhouse gases and other pollutants, it is needed to look towards other sources of energy that are virtually unlimited or regenerative such as renewable energy sources like solar, wind, hydro, etc. Utilization of these renewable sources to our advantage and meeting our needs, people face some technical problems, especially when using those resources simultaneously with our existing system. In this paper, the authors are going to focus on one of the technical problems with the integration of renewable energy sources in an already existing conventional energy distribution system. For this project, the authors have surveyed a load of a building that has an on- grid solar power system also used the software ETAP (version 12.6.0) for simulating a single line diagram for the whole distributed system and performed load flow analysis. Another objective of this present work is the installation of a virtual solar array that can support a certain percentage of loads for the distributed system under consideration.
Two-model Active Learning Approach for Inappropriate Information Classification in Social Networks
Authors: Levshun Dmitry , Tushkanova Olga , Chechulin Andrey 
Published: August 2022

Abstract
The work process of specialists in protection from information consists of many time-consuming tasks, including data collection, datasets formation, and data manual labelling. In this paper, we attempted to help such specialists with a two-model approach based on the iterative online training of binary classifiers. This approach is used for inappropriate information detection and applied on text posts from the VKontakte social network. The first model is used to detect text posts that are corresponding to the selected topic and is trained on the data that is labelled positively and negatively by experts as well as random text data. The second model is used to improve the accuracy of the first model and is trained only on the data that is labelled by the experts. The novelty of the approach lies in the constantly growing dataset, while the classifiers training process takes place during the operator's work. The approach works with texts of any size and content and applicable for Russian social networks. The research contribution lies in the original approach for inappropriate information detection. The practical significance of the approach lies in the automation of routine tasks to reduce the burden on specialists in the area of protection from information. Experimental evaluation of the approach is focused on its iterative retraining part. For the experiment, text posts of different topics from the VKontakte social network were collected and labelled. Those topics include: Aggression, Dangerous conspiracy theories, Radicalism, Gambling, Prostitution, and Sects. After that, we have evaluated precision, recall, F-measure and ROC-AUC metrics for classifiers trained on random subsamples of different sizes and different topics. Those metrics were evaluated for both one-model and two-model implementations of the approach, while the following classifiers were used: linear support vector machine, passive-aggressive classifier, multilayer perceptron. Moreover, the advantages and disadvantages of the approach, as well as future work directions, were indicated.
Limited efficacy of temozolomide alone for astrocytoma, IDH-mutant, CNS WHO grades 2 or 3
Authors: Weller Jonathan , Katzendobler Sophie , Blobner Jens , Thiele Frederic , Becker Hannes , Quach Stefanie , Egensperger Rupert , Niyazi Maximilian , Suchorska Bogdana , Thon Niklas , Weller Michael , Tonn Joerg-Christian 
Published: August 2022

Abstract
PURPOSE
The role of temozolomide chemotherapy alone in isocitrate dehydrogenase (IDH)-mutant astrocytomas has not been conclusively determined. Radiotherapy might be superior to temozolomide. Recent studies have linked temozolomide with induction of hypermutation and poor clinical course in some IDH-mutant gliomas.
METHODS
In this retrospective study, 183 patients with astrocytoma, IDH-mutant, CNS WHO grade 2 or 3 and diagnosed between 2001 and 2019 were included. Patients initially monitored by wait-and-scan strategies or treated with radiotherapy or temozolomide alone were studied. Patient data were correlated with outcome. Matched pair and subgroup analyses were conducted.
RESULTS
Radiotherapy was associated with longer progression-free survival than temozolomide (6.2 vs 3.4 years, p = 0.02) and wait-and-scan strategies (6.2 vs 4 years, p = 0.03). Patients treated with radiotherapy lived longer than patients treated with temozolomide (14.4 vs 10.7 years, p = 0.02). Survival was longer in the wait-and-scan cohort than in the temozolomide cohort (not reached vs 10.7 years, p < 0.01). Patients from the wait-and-scan cohort receiving temozolomide at first progression had significantly shorter survival times than patients treated with any other therapy at first progression (p < 0.01). Post-surgical T2 tumor volume, contrast enhancement on MRI and WHO grade were associated with overall survival in univariate analyses (p < 0.01).
CONCLUSION
The results suggest superiority of radiotherapy over temozolomide and wait-and-scan strategies regarding progression-free survival and superiority of radiotherapy over temozolomide regarding overall survival. Our results are consistent with the notion that early temozolomide might compromise outcome in some patients.
Forecasting Extreme Precipitations by Using Polynomial Regression
Authors: Dikbas Fatih 
Published: August 2022

Abstract
It is well known that the recent global warming intensifies the magnitude of rainfalls due to the increase in water content in the atmosphere. Therefore, the probability of exceeding the previously observed extreme precipitation values also increases with the experienced climate change and forecasting extreme weather events is becoming more important. This paper presents a new polynomial regression approach and a software (PolReg) where future extreme precipitations exceeding all previous observations are estimated for each month of year by using prediction bounds with a level of certainty at 95%. The presented method determines the degrees and coefficients of best fitting polynomials for each precipitation station and forecasts the expected extreme value for each month of year by using the determined polynomials. The performance of the method is tested by removing and estimating a total of 792 highest observed monthly total precipitation values of 66 precipitation stations in Turkey (highest observation for each month of year for each station). The results show that the proposed method and the provided software has a high performance and accuracy in estimating future precipitation extremes and might be applied in many disciplines dealing with forecasting of probable extreme values.
The early postnatal activation of A2ARs protects BTBR mice against autism related behavior
Authors: He Xie , Zhou Mi , Yang Teng , Ren Jia-Kui , Sun Li , Liu Tian-Yao , Sun Jian-Bin , Ma Peng-Jiao , Liu He-Ting , Fang Jing-Qin , Dai Shuang-Shuang 
Published: August 2022

Abstract
Background: Studies mainly focused on the immediate effect of drugs on Autism spectrum disorders (ASD), the complex heterogeneous neurodevelopmental disorders, which been proved involved with the chronic inflammation of the central nervous system. Our studies have explored the positive role of activation of adenosine 2A receptors (A2ARs) in protect adult BTBR mice against autism related behavior from the early postnatal period. However, the exact mechanism underlying the protection of A2ARs has not been comprehensively investigated. Methods: The persistent protection of early postnatal activation of A2ARs in the adult BTBR mice were detected utilizing behavior tests. Pathological variation in the peripheral blood of autism patients were analyzed by transcriptomic analysis, including mroast and protein–protein interactions (PPIs). The clues were further explored and validated by real-time RT PCR, western blotting, immunohistochemistry and transcriptomic analysis in the mouse cortex. The blood brain barrier of mouse were spotted by dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). Results: Abnormal activation of myeloid cells, especially the neutrophil were detected in the peripheral blood of autism patients and BTBR mouse cortex. The BBB permeability of BTBR mouse were significantly increased, which might facilitated the abnormal infiltration of neutrophils spotted in the BTBR mouse cortex. Further, the early postnatal activation of A2ARs effectively revers the abnormal activation and invading of neutrophils in the mouse cortex, might result in the significantly moderation of the autism related behavior of adult BTBR mice, following decrease of the chronic inflammation in the mouse cortex during the early postnatal period. Conclusions: We found the abnormal condition of myeloid cells in the autism patients and BTBR mice, and the adding infiltration of neutrohpils in the mouse cortex. We concluded that the early activation of A2ARs could effectively decreased the autism related behavior of adult BTBR mice via reversing the abnormal activation of myeloid cells and the pathological invading of neutrophils in the mouse cortex.
High-performance photodetector of Au-MgO/PS nanostructure manufactured via Pulsed laser ablation Technique
Authors: Sulaiman Eman M. , Mutlak Falah , Nayef Uday 
Published: August 2022

AbstractThis work focuses on photodetector Au:MgO nano-particles (NPs) have been prepared by laser ablation at various laser energies then deposited on porous-Si (PS). PS are produced with the use of the photo-electrochemical etching (PECE) approach for n-type crystalline Si (c-Si) wafers of (100) orientation. XRD, scanning electron Microscope (SEM), UV-visible Spector-photometer and electrical characteristics that have been utilized for characterizations of products. The photo-detector measurements, the spectral responsivity curves inclusive three regions; the first peak was due to absorption of the ultraviolet light by Au:MgO NPs. The second peak corresponding to the absorption of the visible light with porous silicon layer and the third peak to absorption edge of the Si substrate. The higher responsivity of Au:MgO NPs/PS photo-detector were found to be 3.29 A/W for specimen prepared at laser energy 800 mJ/pulse.