bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kidney Stone Composition in Various Country Around the World
Authors: Halinski Adam , Popov Elenko , Bhattikam Kamran Hassan , Boeri Luca , Cloutier Jonathan , Davidoff Kaloyan , Elqady Ayman , Fryad Goran , Gadelmoula Mohamed Gadelmoula Mohamed , Hui Hongyi , Petkova Kremena , Rawa Bapir Rawa Bapir , Saltirov Iliya , Hameed Belthangady Monu Zeeshan , Trinchieri Alberto , Buchholz Noor 
Published: March 2021

Abstract
To compare urinary stone composition patterns in different populations around the world in relation to the structure of their population, dietary habits, and climate. 1204 adult patients with urolithiasis and stone analysis was included . International websites were searched to obtain data. We observed 710(59%) patients with calcium oxalate, 31(1%) calcium phosphate, 161(13%) mixed calcium oxalate/calcium phosphate, 15(1%) carbapatite, 110(9%) uric acid, 7(<1%) urate, 100(9%) mixed uric acid/ calcium oxalate, 56(5%) struvite and 14(1%) cystine stones. Calcium stones were the most common in all countries (up to 91%) with the highest rates in Canada and China. Oxalate stones were more common than phosphate or mixed phosphate/oxalate stones except Egypt and India. The rate of uric acid stones, being higher in Egypt, India, Pakistan, Iraq, Poland, and Bulgaria. Struvite stones occurred in less than 5% except India (23%) and Pakistan (16%). Cystine stones occurred in 1%. The frequency of different types of urinary stones varies from country to country. Calcium stones are prevalent in all countries. Uric acid stones seems to depend mainly on climatic factors, being higher in countries with desert or tropical climates. Dietary patterns can also lead to an increase it. Struvite stones are decreasing in most countries.
In situ lymphoma imaging in a spontaneous mouse model using the Cerenkov Luminescence of F-18 and Ga-67 isotopes
Authors: Ritter Zsombor , Zámbó Katalin , Balogh Péter , Szöllősi Dávid , Jia Xinkai , Balázs Ákos , Taba Gabriella , Horváth Ildikó , Alizadeh Hussain , Tuch David , Vyas Kunal , Hegedűs Nikolett , Kovács Tibor , Szigeti Krisztián , Dezső Dániel , Máthé Domokos , Schmidt Erzsébet 
Published: March 2021

Abstract
We aimed to study lymphoma diagnostics by Cerenkov luminescence imaging (CLI). We monitored the dissemination of a spontaneous high-grade mouse lymphoma (Bc.DLFL1) in early stage; advanced stage; and terminal stage with in vivo 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) positron emission tomography (PET) / magnetic resonance imaging (MRI) and 67Ga-citrate single photon emission computed tomography (SPECT) / MRI. In vivo imaging was combined with ex vivo high resolution CLI. The use of CLI with Fluorine-18 and Gallium-67 to select infiltrated lymph nodes for tumor staging pathology was thus tested. At advanced stage, [18F]FDG PET/MRI plus ex vivo CLI allowed accurate detection of [18F]FDG accumulation in lymphoma-infiltrated tissues. At terminal stage we detected tumorous lymph nodes with SPECT/MRI and we could report the Cerenkov light emission of 67Ga. CLI with 67Ga-citrate revealed lymphoma accumulation in distant lymph node locations, unnoticeable with only MRI. Flow cytometry and immunohistochemistry confirmed these imaging results. Our study promotes the combined use of PET and CLI in preclinical studies and clinical practice. Heterogeneous [18F]FDG distribution in lymph nodes detected at sampling surgery has implications for tissue pathology processing and could direct therapy. The results with 67Ga also point to the opportunities to further apply suitable SPECT radiopharmaceuticals for CLI.
The mechanisms of the impact of high-tech product export trade on regional carbon performance
Authors: Han Miao , Zhou Yan 
Published: March 2021

Abstract
Export trade is a driving force of economic development, but it is also an important source of increasing carbon dioxide emissions. Against the background of suggestions of conflicts between economic development and environmental health, the proportion of high-tech products in the export trade of various countries has been rising, leading governments and scholars to focus on identifying the appropriate export structure for countries. While there is some knowledge on how high-tech product exports affect carbon dioxide emissions, the mechanisms involved in that link have not been adequately addressed in previous studies. This study is based on China’s inter-provincial panel data from 2006 to 2017, and uses the fixed effects model stepwise regression method and the bootstrap method to systematically investigate the mediating effects of industrial structure supererogation, low-carbon technological innovation and human capital accumulation, operating in the impact of high-tech product export trade on regional carbon performance. The research results show that high-tech product exports can help improve regional carbon performance. The mediating variables, industrial structure supererogation, low-carbon technological innovation and human capital accumulation, separately have positive and partially mediating effects on the link between high-tech products export trade and regional carbon performance. After considering the alternative indicator of regional carbon performance and the replacement of test method, the results of this study are still robust. The research results are instructive for an understanding of the relationship between high-tech product export trade and regional carbon performance. They highlight the important role of high-tech product exports in improving regional carbon performance, and have significance in promoting China’s green and low-carbon transition.
Role of Low-carbon Technology Innovation in Environmental Performance of Manufacturing: Evidence From Oecd Countries
Authors: Shi Rui , Cui Yu , Zhao Minjuan 
Published: March 2021

Abstract
Climate change disrupts the balance of natural ecosystems and threatens the sustainable development of human society. As the leading industry in many countries, manufacturing promotes economic development; unfortunately, it also emits large quantities of greenhouse gases. Thus, it is necessary to transform the production pattern of manufacturing into green production. Although technology innovation is the only way to tackle the issue, different types of technology innovation may lead to different environmental performances. We argue that low-carbon technology innovation (LCTI) is the key to green production. Using data of Economic Co-operation and Development (OECD) countries from 1990 to 2014, we use the patent-stock method to measure LCTI levels and analyze its development trend in OECD countries. Based on the shepherd distance function, we measure carbon efficiency and carbon productivity by the fixed-effect Stochastic Frontier Analysis (SFA) model. Then we investigate the effect of LCTI on carbon emission efficiency in manufacturing by the fixed-effect regression model. After controlling some variables, evidence shows a significant positive influence of LCTI on the environmental performance of manufacturing. The level of LCTI constantly increased in OECD countries during the study period. Among these countries, the level of low-carbon technology in the chemical industry is the highest; and in most of the countries, the low-carbon technology of production process grows fastest. Policy implications are further discussed.
Kinetic Study of Low Temperature Sulfur Dioxide Removal Reaction By Sodium Carbonate Using Random Pore Model
Authors: Omidi Iman , Ebrahim Habib Ale 
Published: March 2021

Abstract
An experimental investigation of low temperature SO2 removal by porous sodium carbonate was carried out by thermogravimetry. As well as, applied mathematical modeling based on the random pore model was employed to kinetic study of this reaction. The experiments were performed at various temperatures (100-250 oC) and different SO2 concentrations (0.13-1.12 vol%). The initial slopes procedure was used to determine dependency of the reaction rate constants versus temperature. First-order kinetic with respect to gaseous reactant was found and value of activation energy was attained as 22.5 kJ mol-1. Product layer diffusion coefficients were evaluated by the best fitting of experimental data with the model predictions. These random pore model predictions indicated good agreement with experimental conversion-time data at various conditions. The resulted kinetic parameters were avail abled for engineering calculations of SO2 abatement from the coal-based power plants by low-temperature flue gas desulfurization.
Baihe, Dihuang and Baihe Dihuang Tang ameliorates PCPA-Induced Insomnia
Authors: Lu Qin , Wang Li-kang , Qi Cairong , Ri Wang , pingping chen , Wang Xi , Chu Liuxi 
Published: March 2021

Abstract
Clinical evidence from the practice of traditional Chinese medicine (TCM) has shown that Baihe (BH), Dihuang (DH), and their compatibility, Baihe Dihuang Tang (BDT) can treat insomnia. However, the sedative and hypnotic mechanisms of these therapies have not been established. This study evaluated the sedative-hypnotic mechanisms of BH, DH and BDT in terms of their effects on neurotransmitters, the neuroendocrine system and cation-chloride co-transporters in a p -chlorophenylalanine (PCPA)-induced insomnia mice model. The insomnia mice model was established by intraperitoneal injection of PCPA. Mice were randomly assigned into four groups that were treated with BH, DH and BDT (2.25 g/kg, 2.25 g/kg, 4.5 g/kg) and saline solution (wt., 0.9%). Behavioral analyses showed that, compared to mice in the control group, motion activities of mice with insomnia were significantly reduced, sleep latency was prolonged while sleep duration was shortened. Compared to control mice, 5-HT and KCC2 levels were decreased, whereas CRH and ACTH levels were elevated in the insomniac mice. Treatment with BH, DH and BDT ameliorated the symptoms of insomnia and significantly reversed the abnormal levels of the aforementioned neurotransmitters. Notably, BDT effects were the most obvious. These results indicate that BH, DH and BDT improves insomniac symptoms by modifying neurotransmitters levels, the neuroendocrine system and cation-chloride co-transporters.
Enhanced rhizodegradation of polycyclic aromatic hydrocarbons in corn straw-amended soil related to changing of bacterial community and functional gene expression
Authors: Bao Huanyu , Wang Jinfeng , Zhang He , Li Jiao , Wu Fuyong 
Published: March 2021

Abstract
Root exudates can stimulate microbial degradation in rhizosphere, but it remains unclear whether the rhizodegradation of polycyclic aromatic hydrocarbons (PAHs) occurs in corn straw-amended soil. Hence, in the present study, either citric acid, a common low molecular weight organic acid in the root exudates, or corn straw was added into aged PAHs-contaminated soil to investigate their effectiveness in the biodegradation of PAHs. The present study showed that either corn straw (Y) or combined application of corn straw and citric acid (YN100) significantly (P < 0.05) enhanced the degradation of total PAHs in soil after 28 days incubation, which increased by 8.43% and 18.62% compared with control (CK), respectively. High-throughput sequencing suggested that both Y and YN100 treatments led to a shift in bacterial community in soil and increased the abundance of PAHs degraders. Interestingly, the copies of PAHs ring-hydroxylating-dioxygenase (PAH-RHD) Gram-negative bacteria (GN) genes under YN100 treatment was significantly (P < 0.05) higher than those under Y treatment in the soil. Network analysis showed that the potential hosts of PAH-RHDα genes were Lysobacter, Rhizobium, Bacillus, Devosia, Ohtaekwangia, Ramlibacter, Massilia, Steroidobacter, Phenylobacterium and Microvirga. Bacillus, Lysobacter, Rhizobium and Ohtaekwangia and all ten genera obviously increased under Y and YN100 treatments. These results indicate that combined application of corn straw and citric acid increased the PAH-degrading bacteria and PAH-RHDα genes, thus improving the biodegradability of PAHs in the soil. As these results verified, a combined corn straw-rhizosphere approach should be a feasible remediation strategy for PAHs-contaminated soil.
Large-scale literature mining to assess the relation between anti-cancer drugs and cancer types.
Authors: Bauer Chris , Herwig Ralf , Lienhard Matthias , Prasse Paul , Scheffer Tobias , Schuchhardt Johannes 
Published: March 2021

Abstract
Background There is a huge body of scientific literature describing the relation between tumor types and anti-cancer drugs. The vast amount of scientific literature makes it impossible for researchers and physicians to extract all relevant information manually. Methods In order to cope with the large amount of literature we apply an automated text mining approach to assess the relations between 30 most frequent cancer types and 270 anti-cancer drugs. We apply two different approaches, a classical text mining based on named entity recognition and an AI-based approach employing word embeddings. The consistency of literature mining results is validated with 3 independent methods: first, using data from FDA approval, second, using experimentally measured IC-50 cell line data and third, using clinical patient survival data. Results We demonstrate that the automated text mining is able to successfully assess the relation between cancer types and anti-cancer drugs. All validation methods show a good correspondence between the results from literature mining and independent confirmatory approaches. The relation between most frequent cancer types and drugs employed for their treatment are visualization in a large heatmap. All results are made accessible in an interactive web-based knowledge base using the following link: https://knowledgebase.microdiscovery.de/heatmap Conclusions Our approach is well suited to assess the relations between compounds and cancer types in an automated manner. Both, cancer types and compounds can be grouped into different clusters. Researchers can use the interactive knowledge base to inspect the presented results and follow their own research questions.
Biportal endoscopic posterior lumbar decompression and vertebroplasty for extremely elderly patients affected by lower lumbar delayed vertebral collapse with lumbosacral radiculopathy
Authors: Kang Min-Seok , Heo Dong-Hwa , Chung Hoon-Jae , You Ki-Han , Kim Hyong-Nyun , Choi Jun-Young , Park Hyun-Jin 
Published: March 2021

Abstract
Background: Lower lumbar osteoporotic vertebral compression fracture in extremely elderly patients can often lead to lumbosacral radiculopathy (LSR) due to delayed vertebral collapse (DVC). Surgical intervention requires posterior instrumented lumbar fusion as well as vertebral augmentation or anterior column reconstruction depending on the cleft formation and intravertebral instability. However, it is necessary to decide surgery in consideration of the patient’s frail status, surgical invasiveness, and rehabilitation. In the lower lumbar DVC without intravertebral instability, biportal endoscopic posterior lumbar decompression and vertebroplasty (BEPLD+VP) can be simultaneously attempted. In particular, in high-risk elderly patients, BEPLD+VP can be performed under regional anesthesia, can reduce the need for spinal fusion, and can provide good clinical results such as rapid functional recovery. This study aimed to assess clinical outcomes of BEPLD+VP for the treatment of DVC-related LSR. Methods: This retrospective case series enrolled 18 consecutive extremely elderly (aged ≥ 75-year-old) patients (6 men and 12 women) who had lower lumbar (at or below L3) DVC-related LSR. Patients who require anterior column reconstruction, such as cleft formation accompanied by intravertebral instability, and patients who have not been followed for more than 6 months were excluded from this study. All patients underwent BEPLD+VP under epidural anesthesia. Clinical results were evaluated by the visual analog scale (VAS) score and the modified Japanese Orthopedic Association (mJOA) scores. Results: Most of the patients had DVC affecting level L4, with the deformation being flat type or concave type rather than wedge type. The VAS score decreased from 8.1 preoperatively to 3.1 postoperatively (p<0.001). The mJOA score significantly improved from 4.72 ± 1.27 preoperatively to 8.17 ± 1.15 in the final follow-up (p<0.001). The mean RR in the last follow-up was 56.07% ± 9.98. Incidental durotomy was reported in two patients and epidural hematomas in another two patients; however, all patients improved with conservative treatment and no re-operation was required.Conclusions: BELPD+VP was a type of salvage therapy that reduces surgical morbidity, requires major spine surgery under general anesthesia, and provides good clinical outcomes in extremely elderly patients with DVC-related LSR.
Variation in the Inter-Node Length During Plant Growth Influences the Tensile Strength of Maize Stem Fibres.
Authors: Ramasawmy Hareenanden , Chummun Jaykumar , Emrith Piyushaa Devi 
Published: March 2021

Abstract
This study describes an investigation of the evolution of the mechanical and chemical properties of maize stem fibres with the growth stages of the plant, and how the tensile strength is influenced by the presence of nodes along the fibre length. Furthermore the variation of the tensile strength and chemical functional groups among four common maize varieties were determined. In this context, the fibres were characterised by performing tensile test, density & linear density tests, Fourier Transform infra-red spectroscopy (FTIR), X-ray diffraction (XRD), Thermo-gravimetric analysis (TGA) and surface morphology (SEM image analysis). The fibres were all extracted manually, and in some cases preceded by a water retting process for ten days. The thermal analysis, FTIR and x-ray results showed that in general the fibres from the different maize varieties and from the different growth stages are semi-crystalline in nature. The SEM micrographs revealed the presence of equi-spaced nodes along the fibre length, which are believed to be due to the growth stresses induced in the plant stem. The inter-node distance varied in relation to the growth stage of the plant, and yielded a good correlation (coefficient of 0.91) with the tensile strength of the fibres. Finally a better fibre yield was obtained from the stem at the senescence stage of the maize plant.
Excellent Mechanical Properties of the Silicate Glasses Modified by CeO2 and TiO2: A New Choice for High-Strength and High-Modulus Glass Fibers
Authors: Chen Chao , Zhu Qingong , Wang Huanping , Huang Feifei , Yang Qinghua , Xu Shiqing 
Published: March 2021

Abstract
As is well known, silicate glass has a stable glass-forming region and mature drawing processes into fibers. In this study, to obtain enhanced mechanical properties, glasses with a composition of SiO2-Al2O3-MgO-CaO-B2O3-Fe2O3 were synthesized using TiO2 and CeO2. When the amount of TiO2 and CeO2 is less than 2 wt%, the mechanical properties increase with increases in the TiO2 and CeO2. However, as the amount of TiO2 and CeO2 increases from 2 to 3.5 wt%, the mechanical properties decrease. Co-doping with 1 wt% TiO2 and 1 wt% CeO2 was found to be the optimum approach, with a density, bending strength, compression strength, and compression modulus of 2.626 g/cm3, 108.36 MPa, 240.18 MPa, and 115.03 GPa, respectively. The optical band gap and Raman spectroscopy proved that, as long as the content of oxygen bonds reaches the maximum level, a kind of best structural stability and mechanical properties will be achieved. Hence, this type of high-strength silicate glass can be used in optical fibers for military defense, wind power generation, and transportation.
PDCD4–MAPK–NF-κB Positive Loop Simultaneously Promotes Microglia Activation and Neuron Apoptosis During Neuroinflammation
Authors: Chen Quan , Lu Hongjian , Duan Chengwei , Zhu Xiangyang , Zhang Yi , Li Mengmeng , Zhang Dongmei 
Published: March 2021

Abstract
Neuroinflammation and neuron injury are common features of the central nervous system (CNS) diseases. It is of great significance to identify their shared regulatory mechanisms and explore the potential therapeutic targets. Programmed cell death factor 4 (PDCD4), an apoptosis-related molecule, extensively participates in tumorigenesis and inflammatory diseases, but its expression and biological function during CNS neuroinflammation remain unclear. In the present study, utilizing the lipopolysaccharide (LPS)-induced neuroinflammation model in mice, we reported an elevated expression of PDCD4 both in injured neurons and activated microglia of the inflamed brain. A similar change in PDCD4 expression was observed in vitro in the microglial activation model. Silencing PDCD4 by shRNA significantly inhibited the phosphorylation of MAPKs (p38, ERK, and JNK), prevented the phosphorylation and nuclear translocation of NF-κB p65, and thus attenuated the LPS-induced microglial inflammatory activation. Interestingly, LPS also required the MAPK/NF-κB signaling activation to boost PDCD4 expression in microglia, indicating the presence of a positive loop. Moreover, a persistent elevation of PDCD4 expression was detected in the H2O2-induced neuronal oxidative damage model. Knocking down PDCD4 significantly inhibited the expression of proapoptotic protein BAX, suggesting the proapoptotic activity of PDCD4 in neurons. Taken together, our data indicated that PDCD4 may serve as a hub regulatory molecule that simultaneously promotes the microglial inflammatory activation and the oxidative stress-induced neuronal apoptosis within CNS. The microglial PDCD4–MAPK–NF-κB positive feedback loop may exaggerate the vicious cycle of neuroinflammation and neuronal injury and thus may become a potential therapeutic target for neuroinflammatory diseases.