bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tolerance to aryloxy-phenoxy-propionate (APP) as a model for Lazarroz FL rice in vitro gamma irradiation variability selection
Authors: Hernández-Soto Alejandro , Méndez-Navarro Daniela , Perez Jason , Gatica-Arias Andrés , Vargas-Segura Walter , Echeverria-Beirute Fabián , Abdelnour-Esqu Ana 
Published: September 2022

Abstract

In vitro gamma ray (60Co) mutagenesis is a powerful tool to achieve variability in commercial rice lines used by farmers, such as Lazarroz FL. We previously reported the optimized in vitro gamma mutagenesis system for Lazarroz FL Indica callus. As a continuation, in the present study, we targeted the ACC2 gene mutagenesis that provides tolerance to aryloxy-phenoxy-propionate (APP) fluazifop-P-butyl as a model to show the system's potential to create variability while providing a solution for weed management. The DL50 of fluazifop-P-butyl was calculated in calli as DL50= 6,93 mg/L (0,425 mg/L - 15,743 mg/L, R2 = 0,402, 1000n) and regenerated vitroplants at an LD50 of 3.771 mg/L (R2 = 1, 290n). We used 5 mg/L fluazifop-P-butyl as a selection agent and the second round of selection of 10 mg/L (3000 vitroplants) resulted in one survivor plant when using calli as a starting material. The putative tolerant plant also tolerated 150 mg/L in the greenhouse. The ACC2gene was sequenced, and a heteroecious mutation, T2222I/T2222M, was discovered that may be linked to tolerance. We improved the in vitro system by using seeds as a gamma irradiation starting point instead of embryogenic calli, followed by calli induction, regeneration, and exposure to the selection agent. The modification allowed higher gamma doses with an LD50 of 350 Gy and one to thirty-one putative tolerant plants. The in vitro model showed that gamma-ray mutants from recalcitrant indica rice materials are possible, and the use of selection agents such APP can help create variability useful for breeding a more resilient rice.
Effective Matrix Designs for COVID-19 Group Testing
Authors: Brust David , Brust Johannes J 
Published: September 2022

Abstract
Background: Grouping samples with low prevalence of positives into pools and testing these pools can achieve considerable savings in testing resources compared with individual testing in the context of COVID-19. We review published pooling matrices, which encode the assignment of samples into pools and describe decoding algorithms, which decode individual samples from pools. Based on the findings we propose new one-round pooling designs with high compression that can efficiently be decoded by combinatorial algorithms. This expands the admissible parameter space for the construction of pooling matrices compared to current methods.
Results: By arranging samples in a grid and using polynomials to construct pools, we develop direct formulas for an Algorithm (Polynomial Pools (PP)) to generate assignments of samples into pools. Designs from PP guarantee to correctly decode all samples with up to a specified number of positive samples. PP includes recent combinatorial methods for COVID-19, and enables new constructions that can result in more effective designs.
Conclusion: For low prevalences of COVID-19, group tests can save resources when compared to individual testing. Constructions from the recent literature on combinatorial methods have gaps with respect to the designs that are available. We develop a method (PP), which generalizes previous constructions and enables new designs that can be advantageous in various situations.
A pipeline defect estimation method based on supervised learning fusion model
Authors: Lv Bingze , Li Ce , Wang Guotao , Wu Qianyu , Wang Jiaqi , Wang Guoqiang 
Published: September 2022

Abstract
Pipeline health assessment is an important work in industry, and information on the type and size of defects is an essential basis for assessing the health of a pipeline. Therefore, a pipeline defect estimation method based on supervised learning ensemble model is proposed in this paper. Firstly, several typical feature factors are calculated using feature formulas in the field of acoustics, capable of distinguishing the defect signal variability. Thereafter, Pearson correlation coefficient analysis and Random Forest importance ranking feature analysis methods are utilized to filter out the more valuable features. To improve the performance of defect estimation, a fusion model combining qualitative and quantitative analysis based on Random Forest and XGBoost is constructed to preferentially identify the type of defect signal qualitatively and then predict the size quantitatively. Finally, experimental results and comprehensive analysis with other mainstream supervised learning methods indicate that the prediction error of this method is basically below 1.5%, which addresses the issue of the low estimation accuracy of traditional methods.
Acupuncture improving mental health of patients with migraine: a systematic review and meta-analysis
Authors: Li Zhao , Feng Jie , Yin Shao , LI Liuying , Chen Xin , Yang Qicheng , Gao Xu , Che Deya , Zhou Li , Yan Hui , Zhong Yue , Zhu Fengya 
Published: September 2022

Abstract
Background

Migraine is a neurological disease characterized by moderate to severe headache and various neurological symptoms. It is often cause mood and anxiety disorders that can seriously affect quality of life. Acupuncture has been claimed to have a role in treating neuropsychiatric disorders and is becoming increasingly popular. However, it remains unclear whether current evidence is sufficient to support acupuncture in improving mental health in migraine patients.

Objectives

This systematic review and meta-analysis aimed to investigate the effect of acupuncture on the management of pain and mood disorders in patients with migraine.

Methods

We searched PubMed, Cochrane Library, Embase, Web of Science and other databases for reports, conferences and academic papers published before January 1, 2022. Randomized controlled trials (RCTs) including acupuncture, sham acupuncture and medication for migraine were included. Cochrane collaboration software RevMan 5.4 was used for data processing and migration risk analysis.

Result

Eleven randomized controlled trials containing 1734 migraine patients were included in the present study, from which we can conclude that the effect of acupuncture is better than that of sham acupuncture or drugs in terms of reducing the frequency of migraine attacks FM (WMD: -0.55; 95% CI: [-0.85, -0.25]; P < 0.001), VAS score (WMD = -0.66, 95% CI: [-1.10, -0.22], P = 0.003) and the average number of suffering days per month (WMD = -1.13, 95% CI [-1.57, -0.69], P < 0.001)). While acupuncture intervention was effective only in the short-term (<3 months) in respect to improving people’s life quality and related mental health, MSQ (WMD = 2.53; 95% CI: [1.09, 3.96]; P = 0.001) and SF (WMD = 6.08, 95% CI: [1.31, 10.84], P = 0.012) long-term follow-up showed that there was no significant difference between the acupuncture and control groups.

Conclusion

In comparison with the control group, acupuncture featured more prominently in reducing migraine pain severity, attack frequency and the average number of painful days per month. In addition, better short-term effects are witnessed in improving the quality of life and mental health of migraine patients. From the perspective of long-term outcome analysis, the present study does not seem to make a difference between the acupuncture group and the control group in improving patients’ mental health. Moreover, the acupuncture group had a lower incidence of adverse events than the control group. This study shows that acupuncture may improve quality of life and mental health in migraine sufferers in the short term.
Contralateral knee-flexion prone split-leg percutaneous nephrolithotomy: A versatile technique
Authors: Zeng Qinsong , Luo Shuhang , Jiang Shuangjian , Mo Chengqiang , Bai Baohua , Wu Rongpei 
Published: September 2022

Abstract
Background
Traditional prone position (TP) and prone split-leg position are two commonly used operative positions for percutaneous nephrolithotomy (PCNL). However, when confronting with the situation of endoscopic combined intrarenal surgery, the former could not avoid the need of position change while the latter requires flexible retrograde ureteroscopy (fURS) with higher cost. The current study optimized a novel technique for performing percutaneous nephrolithotomy (PCNL) in the knee-flexion prone split-leg position (KF-PSL)and evaluated the safety, advantages, and feasibility compare to the traditional prone position (TP).
Methods
An evolution of technique based on common prone split-leg position (PSL) was presented, and a retrospective analysis was conducted on the data of 105 patients who underwent PCNL in KF-PSL or TP position between January 2021 and June 2021. The demographic and preoperative clinical data of the KF-PSL and TP groups were reviewed, and the preoperative, perioperative, and postoperative parameters were compared.
Results
The perioperative manifestations of 51 patients who underwent PCNL in the KF-PSL position and 54 patients in the TP position were analyzed. The preoperative parameters of the two groups did not differ significantly. The mean stone size was 43.38±29.64 mm in maximum diameter. S.T.O.N.E. scores greater than 11 accounted for 11.4%. The mean operative time (85.4±47.7 mins in KF-PSL vs 109.6±48.9 mins in TP) was a significant index (P<0.001). Both groups had similar stone-free rates after four weeks (P=0.134). Three cases of endoscopic combined intrarenal surgery were performed in the KF-PSL group. The Braden scale scores of the two groups did not differ significantly(P=0.686). No significant difference was observed between the groups in the total complication rate(P=1).
Conclusion
The KF-PSL is a promising novel position that allows a shorter operative time and more simplified surgical procedure for PCNL than TP without compromising the outcome. It is more convenient for combined therapy, which allows access to the entire urinary tract without the need for changing position. KF-PSL is a safe, efficient, and versatile position that enables the complete resolution of large stones in a single procedure.
Trial registration
ChiCTR2200055385, 8th, January, 2021.
Psycho Socioeconomic Concerns of Low Economic Background Families With a Cerebral Palsy Child: A Mixed Design
Authors: Pattnaik Monalisa , Mishra Srijit 
Published: September 2022

Abstract
Introduction: When disability and poverty coincide, the impact is more. Socio economic studies on cerebral palsy children are rarely being done in India. More ever studies on lower socio-economic families having a cerebral palsy child are rare.
Objective of the study: It is to understand the psycho socioeconomic concerns of the families with a cerebral palsy child.
Design: Mixed method. Exploratory sequential design. The quantitative data was obtained by a survey questionnaire, which was prepared on themes obtained from the qualitative data by a semi structured interview. 10 Parents of cerebral palsy children with monthly income Rs 10,000 and below from the paediatric unit of Department of Physiotherapy of SVNIRTAR were selected purposively for qualitative data. A questionnaire was prepared and validated on psycho socio economic issues of families of cerebral palsy children. 124 parents of cerebral palsy children with monthly income Rs 10,000 and below were surveyed.
Results: 88.70% reside in rural areas and 11.3% in urban. 19% belong to SES 3 (Lower middle) an 81% belong to SES4 (upper lower). For 6.5% families the one-time treatment expenditure far crossed their yearly expenditure. In 18.3% families the monthly expenditure was more than income and 20.6% spent more than 50% of their income on treatment of the child. None had insurance. 4.6% had chronic illness of other family members. 2% had another child also affected. In case of financial requirement when they cannot meet the expenditure 7.6% sold their belonging, 38.2% took loan, 33.6% financial support was availed from family friends and relatives and 2.3% got financial assistance from govt. or NGO and 11.5% did could not help themselves anyway. Only 2 people had barrier free home. 73.3 parents did not know about government schemes available for them, 14.5% knew but were not availing and 6.9% were availing. Social life was affected for 70.14%. 71% were not getting any social support.
Three-dimensional nanofibrous sponges with aligned architecture and controlled hierarchy regulating neural stem cell fate for spinal cord regeneration
Authors: Ni Shilei , Li Zhiwei , Qi Ye , Sun Lei , Li Zheng , Chen Shaojun , Zhang Yuqi , Ma Yuan , Han Jinming , Wang Zide , Zhang Yulin , Geng Huimin , Huang Bin , Wang Jian , Li Gang , Li Xingang , Wu Shaohua 
Published: September 2022

Abstract
A strategy combining biomimetic nanomaterial scaffolds with neural stem cell (NSC) transplantation holds promise for spinal cord injury (SCI) treatment. In this study, innovative three-dimensional (3D) nanofibrous sponges (NSs) are designed and developed by a combination of directional electrospinning and subsequent gas-foaming treatment. The as-generated 3D NSs exhibit uniaxially aligned nano-architecture and highly controllable hierarchical structure with high porosity, outstanding hydrophilicity, and reasonable mechanical performance, and they are demonstrated to facilitate cell infiltration, induce cell alignment, promote neuronal differentiation of NSCs, and enhance their maturation by activating the cellular adhesion molecule (CAM) pathways. The in vivo data show that the NSC-seeded 3D NSs efficiently promote axon reinnervation and remyelination in a rat SCI model, with new “neural relays” constructed across the lesion gap. Notably, they significantly increase the neurological motor scores of SCI rats from ~2 to 16 (out of 21) and decrease the sensing time from 140 s to 36 s, accompanied by the restoration of ascending and descending electrophysiological signalling. Overall, the present study indicates that the as-fabricated 3D NSs can effectively regulate the fate of NSCs, and an advanced combination of 3D NS design and transplanted NSCs invites applications as an ideal tissue-engineered scaffold for SCI repair.
Enhanced osmotic transport in individual double-walled carbon nanotube
Authors: Ma Ming , Cui Guandong , Xu Zhi , Li Han , Siria Alessandro 
Published: September 2022

Abstract
The transport of fluid and ions across nanotubes or nanochannels has attracted great attention due to the ultrahigh energy power density and slip length, with applications in water purification, desalination, energy conversion and even ion-based neuromorphic computing. Investigation on individual nanotube or nanochannel is essential in revealing the fundamental mechanism as well as demonstrating the property unambiguously. Surprisingly, while carbon nanotube is the pioneering and one of the most attractive systems for nanofluidics, study on its response and performance under osmotic forcing is lacking. Here, we measure the osmotic energy conversion for individual double-walled carbon nanotube with an inner radius of 2.3 nm. By fabricating a nanofluidic devices using photolithography, we find a giant power density (up to 30 kW/m2) for the transport of KCl, NaCl, and LiCl solutions across the tube. Further experiments show that such an extraordinary performance originates from the ultrahigh slip lengths (up to a few micrometers). Our results suggest that carbon nanotube is a good candidate for not only ultrafast transport, but also osmotic power harvesting under salinity gradients.
Dexmedetomidine regulates autophagy via the AMPK/mTOR pathway to improve SH-SY5Y-APP cell damage induced by high glucose
Authors: Chen Pinzhong , Chen Xiaohui , Zhang Honghong , Chen Jianghu , Lin Mingxue , Qian Haitao , Gao Fei , Chen Yisheng , Gong Cansheng , Zheng Xiaochun , Zheng Ting 
Published: September 2022

Abstract
Neurodegenerative diseases and postoperative cognitive dysfunction (POCD) involve the accumulation of β-amyloid peptide (Aβ). High glucose can inhibit autophagy, which facilitates intracellular Aβ clearance. The α2-adrenoreceptor agonist dexmedetomidine (DEX) can provide neuroprotection against several neurological diseases; however, the mechanism remains unclear. This study investigated whether DEX regulated autophagy via the AMPK/mTOR pathway to improve high glucose-induced neurotoxicity in SH-SY5Y/APP695 cells. SH-SY5Y/APP695 cells were cultured with high glucose with/without DEX. To examine the role of autophagy, the autophagy activator rapamycin (RAPA) and the autophagy inhibitor 3-methyladenine (3-MA) were used. The selective AMPK inhibitor compound C was used to investigate the involvement of the AMPK pathway. Cell viability and apoptosis were examined by CCK-8 and annexin V-FITC/PI flow cytometric assays, respectively. Autophagy was analyzed by monodansylcadaverine (MDC) staining of autophagic vacuoles. Autophagy- and apoptosis-related protein expression and the phosphorylation levels of AMPK/mTOR pathway molecules were quantified by western blotting. DEX pretreatment significantly suppressed high glucose-induced neurotoxicity in SH-SY5Y/APP695 cells, as evidenced by the enhanced viability, restoration of cellular morphology, and reduction in apoptotic cells. Furthermore, RAPA had a protective effect similar to that of DEX, but 3-MA eliminated the protective effect of DEX by promoting mTOR activation. Moreover, the AMPK/mTOR pathway involved DEX-mediated autophagy. Compound C significantly suppressed autophagy and reversed the protective effect of DEX against high glucose in SH-SY5Y/APP695 cells. Our findings demonstrated that DEX protected SH-SY5Y/APP695 cells against high glucose-induced neurotoxicity by upregulating autophagy through the AMPK/mTOR pathway, suggesting a role of DEX in treating POCD in diabetic patients.
Financial development and green technology innovation efficiency
Authors: Yong-chun SUN 
Published: September 2022

Abstract
Innovation in green technology has emerged as a crucial component in encouraging green, sustainable development. Is the development of the financial sector a factor in the innovation of green technologies? This study investigates the relationship between financial development and the innovation of green technologies from three perspectives: financial structure, financial deepening, and financial efficiency. The DEA-SBM model and GML index were used to measure green technological innovation in order to thoroughly assess its effectiveness. This was done using panel data collected from 30 Chinese provinces between the years of 2002 and 2020 (with the exclusion of Tibet, Hong Kong, Macao, and Macao). The findings indicate that: (1) while financial deepening and financial efficiency have a favorable promoting effect, financial structure has a negative influence on green technology innovation. (2) This paper further confirms the variation in the impact of financial development on green technology innovation, taking into account the heterogeneity of the development of China's provinces (such as the level of economic development, financial development, environmental regulation, location conditions, etc.). (3) This study discovers various ways in which financial development impacts the development of green technologies. The PLFC (Partial Linear Function Coefficient) model's findings show that the relationship between financial development and technological advancement varies with income.
Meta-analysis of cnidarian microbiomes reveals insights into the structure, specificity, and fidelity of marine associations.
Authors: McCauley Mark , Goulet Tamar , Jackson Colin , Loesgen Sandra 
Published: September 2022

Abstract
Microorganisms play essential roles in the health and resilience of cnidarians. Understanding the factors influencing cnidarian microbiomes requires cross study comparisons, yet the plethora of protocols used hampers dataset integration. Our objective was to unify 16S rRNA gene sequences from cnidarian microbiome studies under a single analysis pipeline. We reprocessed 12,010 cnidarian microbiome samples from 186 studies, alongside 4,002 poriferan, cultured Symbiodiniaceae, and environmental samples, unifying ~6.5 billion sequence reads. This meta-analysis uncovered an incredible diversity of 86 archaeal and bacterial phyla. Globally, cnidarian microbial composition, richness, diversity, and structure are primarily influenced by host phylogeny, sampling depth, and ocean body. Host phylogeny and sampling depth also influenced the Cnidaria ‘core microbiome’. We identified host and geographical generalist and specific Endozoicomonas clades within Cnidaria and Porifera. This meta-analysis forms a framework for understanding factors governing cnidarian microbiomes, creating a baseline to help elucidate the impact of stress associated dysbiosis.
Frequency and cyst density of Sarcocystis spp. in the myocardium of alpacas (Vicugna pacos) according to sex and age in a province of the Peruvian Andes
Authors: Rodríguez Alejandro , Quispe-Solano Miguel , Rodríguez José , Lucas J. Raul 
Published: September 2022

Abstract
Sarcocystis is a threat to food security in the Peruvian Andes. The Sarcocystis species that forms microcysts in the myocardium of alpacas is S. masoni n. sp. (known as "S. lamacanis"). There is a lack of current studies estimating the prevalence of this parasite in alpacas, although this information is crucial for the control and prevention of sarcocystosis. The aim of this study was to determine the frequency and cyst density of Sarcocystis masoni n. sp. in the myocardium of alpacas in Huancavelica, a province of the Andean region of Peru. Myocardial samples for histological analysis were taken from 104 alpacas slaughtered in an official abattoir in the area. All alpacas (100%) presented this parasite. About 44% (95% CI: 34.5-53.5%), presented from 31 to 45 microcysts per mm2 of myocardial histological slide (cyst density). Cyst density was significantly higher (p<0.05) as the age of the animals increased. In addition, cyst density was significantly higher (p<0.05) in 4- and 5-years-old males compared to females of the same age. These results confirm that myocardial sarcocystosis is highly endemic in alpacas in Peru.