bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low cost, environmentally friendly and high-performance cellulose-based triboelectric nanogenerator for self-powered human motion monitoring
Authors: Zhu Qiuxiao , Wang Tingting , Wei Yuhe , Sun Xiaoping , Zhang Sheng , Wang Xuchong , Luo Lianxin 
Published: May 2022

Abstract
Cellulose-based triboelectric nanogenerators (TENGs) can provide power for various monitoring devices and are environmentally friendly and sustainable. Chemical functional modification is a common method to improve the electrical output performance of cellulose-based TENGs. In this work, an environmentally friendly high-performance triboelectric nanogenerator based on polydopamine/cellulose nanofibrils (PDA/CNF) composite membrane and fluorinated ethylene propylene (FEP) was developed. Dopamine generates polydopamine nanoparticles through oxidative self-polymerization and adheres to the surface of nanofibers. The synergistic effect of amino group introduction and membrane surface microstructure has effectively enhanced the output performance of TENG to a certain extent.The effects of contentration of PDA, thickness of CNF composite film and different working conditions on the electrical output were systematically investigated.The optimized PDA/CNF-TENG exhibited an enhanced electrical output performance with the voltage, current, and power density values of ≈ 205 V, ≈ 20 µA, and ≈ 56.25 µW·cm− 2, respectively. The PDA/CNF-TENG exhibited stable and identifiable signals when used as a self-powered sensor for human motion monitoring, showing the potential prospects of cellulose materials for TENG and other electronic applications.
Clinical, Radiological and Genetic Variation In Pontocerebellar Hypoplasia Disorder &amp; Our Clinical Experience
Authors: bilge serap , Mert Gülen Gül , Hergüner Özlem , Özcanyüz Duygu , Bozdoğan Sevcan Tuğ , Kaya Ömer , Havalı Cengiz 
Published: May 2022

Abstract
Background Pontocerebellar hypoplasia (PCH) constitutes a heterogeneous neurodegenerative/neurodevelopmental disorder of the pons and cerebellum with onset in the prenatal period. Our study aimed to present different clinical and radiological manifestations of our genetically diagnosed PCH patientsMaterial & Methods Six patients were enrolled in this study from September 2018 to March 2021. All the clinical radiological and genetic investigations were done at Cukurova University Medical School.Results Five children were diagnosed genetically and categorized under one of the types of PCH (type 10,7,11). Homozygous mutaion in CLP1In PCH type 10, TOE1 in PCH type 7 and TBC1D23 in PCH type 11 were respectively detected. At the same time, one patient was genetically diagnosed with cerebellofaciodental syndrome (BRF1) gene but was not categorized under one of the types of PCH. Conclusion According to our study, PCH is a rare neurodegenerative disease, although some types are static as PCH11 male gender and PCH7 female gender. Some clinical features are specific to a definite type. PCH7 express disorders of sex development most apparent in 46 XY. Some ethnic groups could express distinct subtypes. PCH10 is seen in the Turkish population. Radiological imaging is beneficial in pre-diagnosis; all the patients had different pons and cerebellar hypoplasia degrees. Genetic testing as like whole exome sequencing via next-generation sequencing is essential in setting the definite diagnosis and determining the type/subtype of PCH. Phenobarbital is effective as a symptomatic treatment of seizures in PCH.
Effects of the ketogenic diet in mice with hind limb ischemia
Authors: Shalamu Adilan , Dong Zhen , Liu Bowen , Pan Lihong , Cai Yun , Ma Xiurui , Hu Kai , Sun Aijun , Ge Junbo 
Published: May 2022

Abstract
Purpose
The ketogenic diet (KD) has anti-tumor and anti-diabetic effects in addition to its anti-epileptic role. It could also improve cardiac function and attenuate neurological insult. However, the effect of the KD on blood flow or tissue recovery after ischemia remains largely unknown. Thus, we observed blood flow and ischemic tissue recovery following hind limb ischemia in mice.
Methods
C57 mice were fed with either a KD or normal diet (ND) for 2 weeks, before inducing hind limb ischemia, blood perfusion of ischemic limb tissue was observed at 0, 7, and 21 days post operation.
Results
KD not only decreased blood perfusion of ischemic limb tissue but also delayed muscle recovery after ischemia, induced muscle atrophy of non-ischemic tissue compared to mice fed with ND. Furthermore, KD delayed wound healing at the surgical site and aggravated inflammation of the ischemic tissue. At the cellular level, KD altered the metabolic status of limb tissue by decreasing glucose and ketone body utilization while increasing fatty acid oxidation. Following ischemia, glycolysis, ketolysis, and fatty acid utilization in limb tissue were all further reduced by KD, while ketogenesis was mildly increased post KD in this mice model.
Conclusion
KD may delay tissue recovery after ischemia and induce more muscle atrophy in non-ischemic tissue. Our results hint that patients with limb ischemia should avoid ketogenic diet.
Changes in China's dryland areas and NPP from 1980 to 2020
Authors: zhang shihang , Chen Yusen , lu yongxing , Guo Hao , Guo Xing , Liu Chaohong , Zhang Yuanming , Zhou Xiaobing 
Published: May 2022

Abstract
The drylands of China account for approximately 10.8% of the global drylands that are intensely affected by human activities and climate change. Dynamic changes in drylands and their subtypes (hyper-arid, arid, semi-arid, and dry subhumid), in addition to the spatiotemporal characteristics in net primary productivity (NPP) of vegetation, are crucial for the evaluation of ecosystem functions and management strategies in China. This paper defined drylands and determined the area based on the aridity index (AI). It was found that the drylands of China have expanded from 5.8 million km2 to 6.6 million km2 from 1980 to 2020, with an average rate of 0.019 × 106 km2 (10 year)−1. These changes were mostly driven by the mean annual temperature (MAT) and solar radiation (Srad). Among the different subtypes, the arid and semi-arid areas expanded the fastest, at the rate of 0.032 × 106 km2 (10 year)−1, with MAT being the main driving factor. However, hyper-arid areas gradually shrank at an average rate of 0.050 × 106 km2 (10 year)−1, with mean annual precipitation (MAP) as the main driving factor. The NPP of the total vegetation and the subtypes demonstrated an increasing trend in the last 20 years. The NPP of the entire drylands increased at the rate of 10.78 g C·m− 2·yr− 1, which was mainly dominated by the rapid growth of NPP (5.15 g C·m− 2·yr− 1) in the dry subhumid areas. The NPP of four vegetation types (desert, grassland, forest, and cropland) demonstrated an increasing trend (19.14 Tg C·yr− 1), where forest and cropland showed an obvious increase, in contrast to the slight increase in grassland and desert. The study showed that the dryland areas in China may further expand in the future with increased global warming considering MAT was found to significantly contribute to the changes in the dryland areas. The contribution of forest and cropland to the total NPP of the vegetation would continue to increase with the development of eco-environmental protection projects (afforestation, construction of desert highway protection forest, etc.), western development, and construction in China.
Targeting Essential Hypothetical Proteins of Pseudomonas aeruginosa PAO1 for Mining of Novel Therapeutics: An in silico Approach
Authors: Rahman Atikur , Sarker Md. Takim , Islam Md Ashiqul , Hossain Mohammad Uzzal , Hasan Mahmudul , Susmi Tasmina Ferdous 
Published: May 2022

Abstract
Pseudomonas aeruginosa PAO1, an omnipresent opportunistic bacterium responsible for acute and chronic infection in immunocompromised individuals, is currently on WHO's lists where new antibiotics are urgently required for those. Finding essential genes and essential hypothetical proteins(EHP) can be crucial in identifying novel druggable targets and therapeutics. This study aims to characterize these EHPs, analyze subcellular and physiochemical properties, PPIs network, non-homologous analysis against humans, virulence factor and novel drug target prediction, and finally structural analysis of the identified target employing around 42 robust bioinformatics tools/databases, the output of which was evaluated using ROC analysis. The study discieverd 18 EHPs from 336 essential genes, with domain and functional annotation revealing that 50% of these proteins belong to the enzyme category. The majority are cytoplasmic and cytoplasmic membrane proteins, with half of them being stable proteins which were subjected to PPIs network analysis. The network contains 261 nodes and 269 edges for 9 proteins of interest, with 11 hubs containing at least three nodes each. Finally, pipeline builder predicts 7 proteins with novel drug targets, 5 non-homologous proteins against human proteome, human anti-targets, human gut flora, and 3 virulent proteins. Among these, homology modeling of NP_249450 and NP_251676 were done and the Ramachandran plot analysis revealed that more than 94% of the residues were in the preferred region. By analyzing functional attributes and virulence characteristics, the findings of this study may facilitate the development of innovative antibacterial drug targets and drugs of Pseudomonas aeruginosa PAO1.
On the randomness and correlation in the trajectories of alpha particle emitted from 241Am: Statistical inference based on information entropy
Authors: Ghazaly M. El , Elmaghraby Elsayed K. , Al-Sayed A. , Mohamed Amal , Dawood Mahmoud S. 
Published: May 2022

Abstract
Most particle detectors are based on the hypothesis that particles are emitted randomly upon nuclear decay. In the present work, we tested the hypothesis of the existence of correlation in the random trajectories of alpha particles emitted from 241Am source and the null hypothesis of random trajectories. The trajectories were clued through the registration of track in a solid-state nuclear track detector. The experimental parameters were optimized to identify the possible sources of correlation in the track registration and the detector conditions upon exposure and etching to avoid misleading results. The optimization included authentication of linearity in registration efficiency with exposure time to prevent coalescence of registered tracks. The statistical inference processes were based upon adaptive quadrates analysis of the spatial data, and entropy and divergence analysis of the quadrate data together with the null hypothesis of Poisson distribution of random trajectories. The clustering and dispersion analysis were performed with central deviation tendency, empirical K-function, radial distribution analysis, and proximity Analysis. Results showed a pattern of gained information within the registered tracks that may be attributed to being a consequence of the structure of the source.arXiv link: https://arxiv.org/abs/2204.11124
BmK rAGAP inhibits breast cancer cell proliferation, migration, and invasion by downregulating SCN5A expression and subsequent AKT and MAPK activation.
Authors: ge weiping , OU Xueji , GENG Mei , ZHANG Tingting , DING Xuanwen , LI Xing , XU Zili , ZHANG Jinghai , Yanfeng LIU 
Published: May 2022

Abstract
BACKGROUNDBmK rAGAP is voltage-gated sodium ion channel-like scorpion venom peptides, which have anti-tumor activity. Voltage-gated sodium ion channels subunit SCN5A was highly expressed in MDA-MB-231 and it was associated with breast cancer malignancy. METHODS AND RESULTSIn order to explore the effect of BmK rAGAP on MDA-MB-231 and its possible mechanism, the data were downloaded based on TCGA to analyze gene expression of breast cancer patients. Furthermore, MTT, wound healing assay, transwell assay, western blot, immunocytochemistry, fluorescence dual-wavelength colorimetry also were used. We found that BmK rAGAP could inhibit the proliferation, migration, and invasion of MDA-MB-231. BmK rAGAP could reduce expression of SCN5A, and inhibit intracellular [Na+]i and affect the expression of E-cadherin, Vimentin, P53, p-ERK, p-p38 MAPK, p-AKT and MMP-2 in MDA-MB-231.CONCLUSIONSIn conclusion, BmK rAGAP can inhibit the proliferation, migration, and invasion of MDA-MB-231, which may occur by inhibiting the expression of SCN5A and then affecting AKT, p38 MAPK and EMT. It shows that BmK rAGAP was a potential new drug that could be used in the diagnosis and treatment of breast cancer.
Design of high precision multichannel biological 3D printer
Authors: Li Jintao , Zhang Bin , Luo Yichen , Yang Huayong 
Published: May 2022

Abstract
3D printing technology is expected to solve the problem of organ shortage. However, due to accuracy limitations, current biological 3D printing technology is difficult to achieve accurate control of the spatial position and distribution of single cell or single component droplet. In order to accurately construct transplantable organ tissues and organs to achieve directional deposition of different cells and biological materials in the spatial position during the construction of large tissues and organs, a high precision multichannel biological 3D printer with submicron level motion accuracy is designed as well as the concurrent and synergistic printing methods are proposed in this paper. On the basis of studying the high-precision motion characteristics of the gantry structure and the requirements of concurrent and synergistic printing, a set of 6 channels biological 3D printing system is designed that makes the six in one printing came true. Based on Visual C++ environment, the control system software that integrates PMAC motion control subsystem, pneumatic control subsystem and temperature control subsystem is developed and designed. Finally, based on measurement and experiments, it was verified that the biological 3D printer and its control system can meet the requirements of multichannel printing, concurrent printing and synergistic printing with submicron level motion accuracy, and significantly shorten the printing time as well as improve the printing efficiency. Therefore, this study will provide equipment basis for printing complex structures or heterogeneous tissues or organs containing multiple cells, make the construction of complex multicellular tissues or organs possible, and greatly improve the flexibility and functionality of bioprinting.
The Effect of Well-Known Burn-related Features on Machine Learning Algorithms in Burn Patients' Mortality Prediction
Authors: Yazici Hilmi , Ugurlu Onur , Aygul Yesim , Yildirim Mehmet , Ucar Ahmet Deniz 
Published: May 2022

Abstract
IntroductionBurns are one of the most common traumas worldwide. Severely injured burn patients have an increased risk for mortality and morbidity. This study aimed to evaluate well-known risk factors for burn mortality and comparison of six Machine Learning (ML) Algorithms' predictive performances.MethodsThe medical records of patients had burn injuries treated at burn treatment center were examined retrospectively. Patients’ demographics such as age and gender, Total Burned Surface Area, Inhalation Injury, Full-Thickness Burns, Burn-Types were recorded and used as input features in ML models. Patients were analyzed under two groups: Survivors and Non-Survivors. Six ML algorithms including k-Nearest Neighbor, Decision Tree, Random Forest, Support Vector Machine, Multi-Layer Perceptron, and AdaBoost, were used for predicting mortality. Several different input feature combinations were evaluated for each algorithm.ResultsThe number of eligible patients was 363. All six parameters that were included in ML algorithms showed a significant difference (p<0.001). The results show that AdaBoost algorithm using all input features had the best prediction performance with an Accuracy of 90% and an AUC of 92%.ConclusionML algorithms showed strong predictive performance in burn mortality. The development of an ML algorithm with right input features could be useful in the clinical practice. Further investigations are needed on this topic.
New PCR primers targeting on a cytochrome b gene reveal diversity of Leucocytozoon lineages in an individual host
Authors: Honjo Yui , Fukumoto Shinya , Sakamoto Hirokazu , Hikosaka Kenji 
Published: May 2022

Abstract
Avian haemosporidian parasites have received considerable attention in ecological and evolutionary as a result of its wide distribution and ease of detection. However, conventional PCR-based detection methods may sometimes underestimate haemosporidian-mixed infections, which are frequent in natural populations. This underestimation is due to differences in PCR sensitivity for detection of lineages within the mixed infections. Therefore, we designed new primers to amplify sequences that were not detected by the conventional primers and examined if our primers were useful for accurate detection of mixed infections. Blood samples were collected from 32 wild birds captured in Hokkaido, and 16 of these were positive for Leucocytozoon using the conventional primers, while 15 were positive using our primers. All positively amplified samples were sequenced, and found that the conventional primers detected 16% (5/32) multiple infections and none of them was novel lineage, whereas our primers detected 44% (14/32) multiple infections and ten of them were novel lineages. A phylogenetic analysis showed that the new primers can detect a wide range of Leucocytozoon lineages compared with that detected by the conventional primers. The results indicate that our primers are particularly suitable in revealing unique strains from multiple infections. Highly variable multiple infections in the same population of birds at the same location were found for the first time. We revealed high diversity of Leucocytozoon lineages in nature than expected, which would provide more information to better understand parasite diversity and host-vector interactions in wildlife.
Variability in Low-flow Oxygen Delivery by Nasal Cannula Evaluated in Neonatal and Infant Airway Replicas
Authors: Sabz M , Tavernini S , Pillay K , Christianson C , Noga M , Finlay W. H , Rouhani H , Martin A.R 
Published: May 2022

Abstract
Background: The nasal cannula is considered a trusted and effective means of administering low-flow oxygen and is widely used for neonates and infants requiring oxygen therapy, despite an understanding that oxygen concentrations delivered to patients are variable. Methods: In the present study, realistic nasal airway replicas derived from medical scans of children less than 3 months old were used to measure the fraction of oxygen inhaled (FiO2) through nasal cannulas during low-flow oxygen delivery. Parameters influencing variability in FiO2 were evaluated, as was the hypothesis that measured FiO2 values could be predicted using a simple, flow-weighted calculation that assumes ideal mixing of oxygen with entrained room air. Tidal breathing through neonatal and infant nasal airway replicas was controlled using a lung simulator. Parameters for nasal cannula oxygen flow rate, nasal airway geometry, tidal volume, respiratory rate, inhalation/exhalation, or I:E ratio (ti/te), breath waveform, and cannula prong insertion position were varied to determine their effect on measured FiO2. In total, FiO2 was measured for 384 different parameter combinations, with each combination repeated in triplicate. Analysis of variance (ANOVA) was used to assess the influence of parameters on measured FiO2. Results: Measured FiO2 was not appreciably affected by the breath waveform shape, the replica geometry, or the cannula position but was significantly influenced by the tidal volume, the inhalation time, and the nasal cannula flow rate. Conclusions: The flow-weighted calculation overpredicted FiO2 for measured values above 60%, but an empirical correction to the calculation provided good agreement with measured FiO2 across the full range of experimental data.
Sensory Neuron Dysfunction in Orthotopic Mouse Models of Colon Cancer
Authors: Balogh Mihály , Zhang Jixiang , Gaffney Caitlyn M. , Kalakuntla Neha , Nguyen Nicholas T. , Trinh Ronnie T. , Aguilar Clarissa , Pham Hoang Vu , Milutinovic Bojana , Nichols James M. , Mahalingam Rajasekaran , Shepherd Andrew J. 
Published: May 2022

Abstract
Reports of neurological sequelae related to colon cancer are largely restricted to rare instances of paraneoplastic syndromes, due to autoimmune reactions. Systemic inflammation associated with tumor development influences sensory neuron function in other disease models, though the extent to which this occurs in colorectal cancer is unknown. We induced orthotopic colorectal cancer via orthotopic injection of two colorectal cancer cell lines (MC38 and CT26) in two different mouse strains (C57BL/6 and Balb/c, respectively). Behavioral tests of pain sensitivity and activity did not detect significant alterations in sensory sensitivity or diminished well-being throughout tumor development. However, immunohistochemistry revealed widespread reductions in intra-epidermal nerve fiber density in the skin of tumor-bearing mice. Though loss of nerve fiber density was not associated with increased expression of cell injury markers in dorsal root ganglia, lumbar dorsal root ganglia neurons of tumor-bearing animals showed deficits in mitochondrial function. These neurons also had reduced cytosolic calcium levels in live-cell imaging and reduced spontaneous activity in multi-electrode array analysis. Bulk RNA sequencing of DRGs from tumor-bearing mice detected activation of gene expression pathways associated with elevated cytokine and chemokine signaling, including CXCL10. This is consistent with the detection of CXCL10 (and numerous other cytokines, chemokines and growth factors) in MC38 and CT26 cell-conditioned media, and the serum of tumor-bearing mice. Our study demonstrates in a pre-clinical setting that colon cancer is associated with latent sensory neuron dysfunction and implicates cytokine/chemokine signaling in this process. These findings may have implications for determining risk factors and treatment responsiveness related to neuropathy in colorectal cancer.
Effect of Relative Humidity, Storage Days and Packaging on Pecan Kernel Texture: Analyses and Modeling
Authors: Prabhakar Himanshu , Kerr William , Bock Clive , Kong Fanbin 
Published: May 2022

Abstract
The studies expounding effects of storage conditions on texture changes is limited. The researchers have been proposing methods to measure pecan texture instrumentally. But current protocols and/or attribute fail to address huge variability during experimentation. Additionally, there are no predictive model to estimate changes in pecan texture during storage. This study addresses all the above concerns and investigate effects of different relative humidity (RH, 30 to 90%) and packaging material (PE, PP, LDPE and metallic laminates or ML) on pecan texture, introducing a rift ratio (F/H or fracturability to hardness ratio) to address variability in the data and predictive model to estimate changes in textural attribute of pecans during storage. The textural analysis was conducted on pecans cores and intact pecans to measure area under curve, fracturability, hardness, cohesiveness, chewiness, springiness, and rift ratio. It was observed that values for rift ratio obtained using intact pecan method had high R2 (0.72) as compared to rest of textural attribute. A 3-parameter logistic model was employed to predict pecan texture during strage.. The pecans stored at 75%, 80% and 90% lost half of initial fracturability at approx. 115, 3, and 0.15 days (~ 4 hours), respectively. The pecans stored in LDPE, PP and PE packs at 80% lost half of initial fracturability at approx. 26, 57, and 78 days, respectively. The presence of any kind of package delayed the fracturability loss by at least 8 folds at 80% RH. The pecans stored in ML did not experience significant change in textural attributes.