bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainable greenhouse production with transparent radiative cooling film
Authors: Wang Ruzhu , Zou Hao , Wang Chenxi , Yu Jiaqi , Huang Danfeng , Yang Ronggui 
Published: June 2022

Abstract
Temperature needs to be regulated properly for greenhouse production. Herein a cost-effective and easy-to-use transparent radiative cooling (T-RC) film is used as the covering material for greenhouse to reduce heat stress without sacrificing the photosynthesis. With high emissivity in atmospheric window, high transmittance in photosynthetically active radiation (PAR) and high reflectivity in near infrared spectrum (NIR), the film eliminates heat stress of greenhouses to sustain the crop production with reduced energy consumption. Compared with polyolefin (PO) film, the indoor temperature of greenhouse with the T-RC film is demonstrated to be lowered by 18.6°C without ventilation. In the field greenhouse, the productivity of three main varieties (Chinese cabbage, Pakchoi and Cherry radish) can be accelerated by 23.4%,17.3% and 21.7%, respectively, within 19 days after seeding, along with increase in the soluble sugar and proline (PRO) content of these crops. In addition, modeling study shows that the T-RC film can save cooling water by 64.8% in Venlo-type greenhouse. This study paves a pathway for highly productive greenhouse in summer with high productivity and high crop quality, with both energy saving and water saving.
The effect of kisspeptin on the maturation of human ovarian follicles in culture following vitrification -thawing processes
Authors: Tavakoli Anahita , Azar Ali Tayyebi , Taghizabet Neda , Tazangi Fatemeh Rezaei , Ardebili Shahla Noori , Mofarahe Zahra Shams , Aliakbari Fereshteh , Mehranjani Malek Soleimani 
Published: June 2022

Abstract
Ovarian cryopreservation is one of the effective methods to preserve fertility for cancer patients. Still, some problems have been expressed with this approach, namely ROS, resulting in adverse effects on oocytes and ovarian follicles. Kisspeptin as an antioxidant control ovarian function, directly or indirectly. In this study, the effect of kisspeptin on follicle maturation was evaluated in culture following ovarian cryopreservation. Ovarian tissue samples of women between 20 and 35 years old (n = 12) were collected laparoscopically. Samples were randomly divided into four groups: 1) control, 2) vitrification, 3) vitrified + 1µM kisspeptin, and 4) vitrified + 10µM kisspeptin. After vitrification and thawing processes, the tissues were cultured in DMEM medium for 7 days. H&E staining for histological evaluation, Real-Time PCR for GDF9 and BMP15 gene expression, and immunohistochemical staining for GDF9 and BMP15 protein expression were performed. In the vitrification group, ovarian tissue morphology was incoherent, and more primordial follicles than other follicle types were found. The expression of GDF9 and BMP15 genes and proteins were significantly decreased in this group compared with other groups (p < 0.05). In the vitrification groups with kisspeptin (1 and 10 µM), the number of primary and secondary follicles was more than in the vitrification group. Besides, the expression of these genes and proteins was dramatically elevated in the vitrification groups with kisspeptin compared to the vitrification group (p < 0.05). It seems that kisspeptin is an effective substance to improve the quality of the human ovarian cryopreservation medium by improving the maturity of follicles.
Disinhibition of Rab10 gates AMPAR insertion and spine enlargement during long-term potentiation
Authors: Wang Jie , Nishiyama Jun , Parra-Bueno Paula , Okaz Elwy , Oz Goksu , Liu Xiaodan , Suponitsky-Kroyter Irena , McGraw Timothy , Szatmari Erzsebet , Yasuda Ryohei 
Published: June 2022

Abstract

Rab-dependent membrane trafficking is critical for changing the structure and function of dendritic spines during synaptic plasticity. Here, we developed highly sensitive sensors to monitor Rab protein activity in single dendritic spines undergoing structural long-term potentiation (sLTP) in rodent organotypic hippocampal slices. During sLTP, Rab10 was persistently inactivated (>30 min) in the stimulated spines, whereas Rab4 was transiently activated over ~5 min. Inhibiting or deleting Rab10 enhanced sLTP, electrophysiological LTP and AMPA receptor (AMPAR) insertion during sLTP. In contrast, disrupting Rab4 impaired sLTP only in the first few minutes, and decreased AMPAR insertion during sLTP. Thus, our results suggest that Rab10 and Rab4 oppositely regulate AMPAR trafficking during sLTP, and disinhibition of Rab10 signaling gates the induction of LTP and associated spine structural plasticity.
Targeted delivery of 5-Fluorouracil, miR-532-3p and si-KRAS to colorectal tumor using Layer-by-Layer liposomes
Authors: Shahidi Maryamsadat , Abazari Omid , Dayati Parisa , Haghiralsadat Bibi Fatemeh , Oroojalian Fatemeh , Tofighi Davood 
Published: June 2022

Abstract
Co-delivery of siRNA or miRNA with chemotherapeutic drugs into tumor sites is an attractive synergetic strategy for treating colorectal cancer (CRC) due to their complementary mechanisms. In the current work, a liposome nanoparticle (NP) coated by cationic chitosan (CS) using a controlled layer-by-layer (LbL) process was designed to deliver simultaneous si-KRAS, miRNA-532-3p, and 5-Fluorouracil (5-FU) into CRC cells. The LbL NPs exhibited a spherical structure with an average size of 165.9 nm and effectively protected si-KRAS and miRNA-532-3p against degradation by serum and nucleases. Interestingly, the LbL NPs were successfully entered into cells and efficiently promoted cytotoxicity and suppressed cancer cell migration and invasion. In vivo, the LbL NPs reduced tumor growth in SW480-tumor-bearing mice models. In conclusion, these results suggested that the LbL NPs co-loaded with 5-FU and miR-532-3p/si-KRAS might provide a promising potential strategy for inhibiting the malignant phenotypes of CRC cells.
Modeling runoff-sediment influx responses to alternative BMP interventions in the Gojeb catchment, Ethiopia, using the SWAT hydrological model
Authors: Tesfaye Yilikal Anteneh , Alamirew Tena , Zeleke Gete , Kassawmar Tibebu 
Published: June 2022

Abstract
A calibrated 33-year evaluation using the Soil & Water Assessment Tool (SWAT) was conducted in Gojeb catchment to evaluate hydrological processes, sediment yield with downstream loading to Gibe III dam, and hotspot areas for erosion. Best management practices (BMPs) were run through the model to simulate the effects of catchment intervention scenarios on sediment yield and runoff. Simulation results of BMP intervention were compared with the reference and worst-case scenarios. The simulation of sediment production indicates a clear growing trend. Temporally, the maximum amount of sediment transported out of the catchment is experiential from June to September, and the minimum is in February. A plainly defined similar orientation is observed between precipitation, surface runoff and sediment load in the landscape. Spatially, the maximum sediment transported out of the catchment is from agricultural landscape units with a slope of over 50%, annual precipitation above 1,592 mm, and surface runoff over 151 mm. This signifies that the catchment is under serious threat from erosion due to vegetation loss, steep slope farming and high surface runoff. Thus, Gibe III could see a loss of storage capacity due to higher-than-expected sedimentation resulting from worsening environmental degradation, which implies that, the beneficial uses that depend on this dam – electricity production, regulated irrigation water supply and flood control – will decline with significant economic losses. Despite that, selected sustainable land management interventions and the application of BMPs to critical erosion-prone hotspot areas can support the overall reduction in total sediment yield and surface runoff.
Spatial distribution and influencing factors of China’s household biogas: Evidence from provincial-level data
Authors: Liang Zhenghao , Lan Chaojie , Jin Xin , Zhai Pengfei , Zhao Yan , Cai Jinwen , Li Shoupeng , Yang Shuyun , Li Changjiang , Li Changzhen 
Published: June 2022

Abstract
Household biogas, a kind of clean energy, has drawn attention from scholars. To deal with the adjustment of the Chinese agricultural industry and to promote the better development of Chinese household biogas, this article summarizes and analyses the spatial distribution characteristics and influencing factors of the type and number of biogas digesters, biogas production, the biogas fermentation material, and the methods of fermentation residue utilization and ecological agriculture with household biogas in the Chinese household biogas industry by compiling dataset covering 31 provinces. The results show that hydraulic biogas digesters are mainly distributed in northwestern and northeastern China; in addition, continuously stirred biogas digesters and bottom-discharging biogas digesters are mainly distributed in southern and northern China, respectively. Biogas slurry and residue are widely used as fertilizers and feed; furthermore, biogas slurry is also used for seed soaking in northeastern and southern China. The “Three-in-one” and “Four-in-one” biogas ecological models are mostly used in southern and northern China, respectively, and both of them are mainly affected by temperature. Our findings are critical for China's government to formulate appropriate policies and adopt effective measures for promoting the development of cleaner energy and layout of the agricultural industry.
Trizma as an Eco-Friendly Efficient Inhibitor For the Acidic corrosion of Steel : Experimental and Computational Studies
Authors: Abd-El-Nabey B. A. , El-Housseiny S. , Abd-El-Fatah M. A. 
Published: June 2022

Abstract
The corrosion inhibition of steel by Trizma in 1.0 M HCl was investigated chemical and electrochemical techniques. The results showed that an eco-friendly Trizma act as mixed type inhibitor and gives efficiently 93.7% percent inhibition. The XRD and SEM results obtained that the surface of the steel contains Trizma molecules. Flory–Huggins isotherm, and the Kinetic–thermodynamic model are applicable and showed that the adsorption process of Trizma on the steel surface is cooperative (Chemical-Physical). The DFT method were investigated to correlate molecular properties of the studied Trizma with the experimental inhibition efficiency.
Coupled engine and refrigerator Driven in Nonlinear Jaynes-Cummings Model
Authors: Mirmasoudi Forouzan , Ahadpour sodeif 
Published: June 2022

Abstract
With the Nonlinear Jaynes-Cummings model, we have studied heat engine and refrigerator, andresearched the effect of photon numbers, field-atom coupling constant, the nonlinear coupling constantof light field and nonlinear medium on the on processes of the Otto cycle. We discuss whether,and under which conditions, it is possible to realize a heat engine in Nonlinear Jaynes-Cummingsmodel. The enhancements in efficiency engine and refrigerator are explored in detail. We showthat in this setup photon numbers of the bath is a necessary condition to obtain a heat engine andrefrigerator. Our results open up new possibilities for the use of field-atom coupling constant forthe construction and optimization of quantum thermal machines.PACS numbers: 03.67.a, 03.65.Ta, 03.65.Ud.
Comparative prevalence of oral pathogenic bacteria and protozoa in patients with periodontitis in Taiwan
Authors: Chen Yu Chun , Huang Jian Ming , Chang Ying-Ying , Yuan Kuo , Lin Wei Chen , Ting Chun Chan 
Published: June 2022

Abstract
Objectives
Periodontitis is an inflammatory disease caused by bacteria present in the dental plaque. However, the role of two oral protozoans, Entamoeba gingivalis and Trichomonas tenax, in patients with the periodontal disease remains largely unknown in Taiwan. Therefore, we investigated the prevalence of oral microbial infections between the sites with mild gingivitis and chronic periodontitis in patients with periodontitis.
Materials and Methods
We collected 60 dental plaque samples from sites with mild gingivitis (probing depth < 5 mm) and chronic periodontitis (probing depth ≥ 5 mm) from 30 patients at the National Cheng Kung University Hospital. The samples were analyzed via polymerase chain reaction and gel electrophoresis.
Results
Among oral protozoans, E. gingivalis and T. tenax were detected in 44 (74.07%) and 14 (23.33%) of all samples, respectively. Among oral bacteria, P. gingivalis, T. denticola, and T. forsythia were detected in 50 (83.33%), 47 (78.33%), and 48 (80.0%) samples, respectively. Furthermore, the infection rates of T. tenax and T. forsythia were significantly different between the sites with mild gingivitis and chronic periodontitis.
Conclusions
This study, which is the first to analyze E. gingivalis and T. tenax presence among patients with periodontitis in Taiwan, revealed an association between periodontitis and oral microbes.
Clinical Relevance:
Compared with the different sites with mild gingivitis and chronic periodontitis, chronic is more likely to also have the infection rates of T. tenax and T. forsythia. These oral protozoans and bacteria may be the reason for chronic periodontitis in Taiwan.
The Study on the Expression Level of PARP-1 in Glioma and Computational Screening of PARP-1 Inhibitors
Authors: Li Hui , Wang Zhenhua , Xi Jianxin , Lu Han , Du Zhishan , Zhong Sheng 
Published: June 2022

Abstract
Gliomas are the most common primary intracranial malignancies. Current standard treatments include surgical resection, supplemented by radiotherapy and chemotherapy, but the prognosis is poor. PARP-1 (Poly ADP-ribose polymerase 1) inhibitors have become a hotspot in cancer treatment by affecting DNA damage repair pathways, such as metastatic breast cancer, advanced prostate cancer, ovarian cancer and pancreatic cancer. Recently, a study found that the expression level of PARP-1 in glioma cell lines was significantly increased; and PARP-1 inhibitor significantly suppressed the proliferation of glioma cells and aggravated the DNA damage effect of temozolomide(1). Therefore, PARP-1 is expected to become a therapeutic target of molecular targeted therapy for glioma and a sensitizer for radiotherapy and chemotherapy. Moreover, the expression level of PARP-1 is expected to become an evaluation indicator for the prognosis of patients. Firstly, we downloaded RNA-seq data from 416 glioma samples from the GEO (Gene Expression Omnibus) database and divided them into PARP1_H and PARP1_L, according to the expression level of PARP-1. The overall prognosis of PARP1_L patients was better than that of PARP1_H. The effect of radiotherapy and chemotherapy in PARP1_L was better. Results also showed that the expression level of 278 genes of DNA damage repair in PARP1_H is higher than that in PARP1_L. Next, LASSO (Least Absolute Shrinkage and Selection Operator) Cox analysis was carried out for genes of DNA-repair proteins differentially expressed between PARP1_H and PARP1_L patients. According to the developed four-gene DPS (DNA-repair prognostic signature), glioma patients were divided into high-risk and low-risk groups. Then, we developed a new nomogram to assess overall survival in glioma patients. Furthermore, to search for more effective PARP-1 inhibitors with fewer side effects, we used a series of computer-aided techniques such as Discovery Studio 4.5, Schrodinger and PyMol for screening and evaluation. Finally, ZINC000014951634 and ZINC000053057130 proved to be favorable PARP-1 inhibitors by analyzing pharmacological and toxicological properties, ligand-protein complex affinity, and stability. In conclusion, this study investigated the effect of PARP-1 expression on prognosis and the sensitization effect of radiotherapy and chemotherapy in glioma and further screened PARP-1 targeted inhibitors to improve the prognosis of glioma patients.
Overnight dynamics in scale-free and oscillatory spectral parameters of NREM sleep EEG: can polysomnography provide an insight into sleep regulation?
Authors: Horváth Csenge G. , Szalárdy Orsolya , Ujma Péter P. , Simor Péter , Gombos Ferenc , Kovács Ilona , Dresler Martin , Bódizs Róbert 
Published: June 2022

Abstract
Sleep is an inherent feature of human neurobehavioral functioning. However, clinical and research practices largely rely on consensual criteria of sleep-wake characterization. In turn, quantitative EEG measures were shown to be largely redundant and non-standardizable. We aim to transcend this issue by relying on the parametrization of NREM sleep EEG based on the power law scaling of the Fourier spectra (scale-free and oscillatory measures). We hypothesize that spectral slopes are characterized by sufficient convergent and criterion validity in order to be considered as alternative and more standardizable measures of sleep intensity, whereas spectral peak frequencies reveal a U-shaped overnight distribution indicating putative circadian influences. Findings indicate that spectral slopes flatten over successive sleep cycles, reproduce known age and region-effects, correlating reliably with slow wave activity (SWA). Furthermore, its interindividual variability was proven to be less than of SWA. Frequency of the largest peak was shown to roughly correspond to spindle frequency as the known age, sex, and regional effects were evident. Besides, the peak frequencies in the frontopolar region were compatible with an assumed circadian modulation. In conclusion, the appropriate parameterization of the NREM sleep EEG Fourier spectra reliably reflects processes proposed in the two-process model of sleep regulation.
Effect of Oxalic Acid Concentration and Different Mechanical Pre-treatments on the Production of Cellulose Micro/nanofibers
Authors: Bastida Gabriela Adriana , Schnell Carla Natalí , Mocchiutti Paulina , Solier Yamil Nahún , Inalbon María Cristina , Zanuttini Miguel Ángel , Galván María Verónica 
Published: June 2022

Abstract
The present work analyzes the production and characterization of cellulose micro/nanofibers (CMNFs) obtained from different treatments. A chemical pre-treatment was performed using oxalic acid at 25 wt.% and 50 wt.%. Besides, a rotary homogenizer or a PFI mill refiner were used for mechanical pretreatments. Then, mechanical fibrillation to obtain CMNFs was performed by pressurized homogenization for 5 and 15 passes. The carboxylation of cellulose by the chemical pre-treatment was confirmed by Fourier Transform Infrared Spectroscopy (FTIR) and the increase in the carboxylic acid group content was determined by conductometric titration of CMNFs. The best results of nanofibrillation yield (76.5%), transmittance (72.1%) and surface charges (71.0 µeq/g CMNF) were obtained using the PFI mill refiner, 50 wt.% oxalic acid and 15 passes. The highest aspect ratio (length/diameter) determined by Transmission Electron Microscopy (TEM) was found using the PFI mill refiner and 25 wt.% oxalic acid treatment, and no significant differences were observed by increasing the number of passes. The aspect ratio was related to the sedimentation and the intrinsic viscosity of the CNMF dilute suspension. The aspect ratio values obtained by sedimentation agree with those of TEM. Moreover, a strong relationship between the intrinsic viscosity [η] of the CMNF dispersions and their aspect ratio (p) was found (ρ[η] = 0.014 p2.3, R2 = 0.99). Finally, the tensile strength of films obtained from CMNF suspensions was more influenced by the amount of CMNF fraction than the aspect ratio.
Early evaluation of waist-to-height ratio for the prediction of severity of acute pancreatitis
Authors: Wang Zhiyang , Xu Yao , Huang Deqiang , Yang Kaijie , Zhou Mengting , Peng Jianxiang , Luo Lingyu 
Published: June 2022

Abstract
Background
The purpose of this study was to evaluate the association between the waist-to-height ratio (WHtR) and the severity of disease in patients with acute pancreatitis (AP).
Methods
This prospective study included AP patients treated from May 2019 to December 2019 in the Department of Gastroenterology, the First Affiliated Hospital of Nanchang University. Receiver operating characteristic (ROC) curves were constructed to determine the optimal threshold values for predicting AP severity. Risk factor analysis was performed via logistic regression analysis.
Results
Of 258 patients included in this study 77 (29.8%) were diagnosed with mild AP (MAP), 120 (46.5%) with moderately severe AP (MSAP), and 61 (23.6%) with severe AP (SAP). WHtR, waist circumference, weight, and body mass index were all associated with AP severity, and the highest was under the ROC value was observed for WHtR. The optimal threshold WHtR value for predicting SAP was 0.567. Multivariate logistic regression analysis identified WHtR ≥ 0.567 as independent risk factor for SAP. Moreover, the hospital stay was longer and intensive care unit admission rate was higher among AP patients with a WHtR ≥ 0.567.
Conclusion
The waist-to-height ratio was found to be closely related to the severity of AP and an independent risk factor for severe AP. This simple parameter can be used to effectively predict severe AP in an early stage, thereby facilitating early intervention and improving patient outcomes.
The CT delta-radiomics based machine learning approach in evaluating multiple primary lung carcinoma
Authors: Ma Yanqing , Li Jie , Xu Xiren , Zhang Yang , Lin Yi 
Published: June 2022

Abstract
Object:
To evaluate the difference between multiple primary lung carcinoma (MPLC) and solitary primary lung carcinoma (SPLC) by delta-radiomics based machine learning algorithms in CT images.
Methods
A cohort of 1094 patients containing 268 MPLCs and 826 SPLCs were enrolled for radiomic study. After the segmentation of volume of interest, the radiomic features were automatically calculated. The patients were divided into the training set and validation set with a random proportion of 7:3. After the methods of feature selection, the relevant classifiers were constructed by the machine learning algorithms of Bayes, forest, k-nearest neighbor, logistic regression, support vector machine, and decision tree. The relative standard deviation (RSD) was calculated and the classification model with minimal RSD was chosen for delta-radiomics analysis to explore the variation of tumor during follow-up surveillance in the cohort of 225 MPLCs and 320 SPLCs. According to the different follow-up duration, three groups were divided into group A (3–12 months), group B (13–24 months), and group C (25–48 months). Then the corresponding delta-radiomics classifiers were developed to evaluate MPLCs. The area under the receiver operator characteristic curve (AUC) with 95% confidence interval (CI) was quantified to evaluate the efficiency of the model.
Results
To radiomics analysis, the forest classifier (FC-radio) with the minimal RSD showed the better stability was chosen with AUCs of 0.840 (95%CI, 0.810–0.867) and 0.670 (95%CI, 0.611–0.724) in the training and validation set. The AUCs of the forest classifier based on delta-radiomics (FC-delta) were higher than those of FC-radio. In addition, with the extension of follow-up duration, the performance of FC-delta in Group C were the best with AUCs of 0.998 (95%CI, 0.993-1.000) in the training set and 0.853 (95%CI, 0.752–0.940) in the validation set.
Conclusions
The machine-learning approach based on radiomics and delta-radiomics helped to differentiate SPLCs from MPLCs. The FC-delta with longer follow-up duration better differentiated SPLCs from MPLCs.