bluuebunny/crossref_metadata_2025 huggingface dataset:
Epidemiological and Clinical Features of SARS-CoV-2 Variants Circulating between April-December 2021 in Italy
Authors: Lai Alessia , Bergna Annalisa , Della Ventura Carla , Menzo Stefano , Bruzzone Bianca , Sagradi Fabio , Ceccherini-Silberstein Francesca , Weisz Alessandro , Clementi Nicola , Brindicci Gaetano , Vicenti Ilaria , Sasset Lolita , Caucci Sara , Corvaro Benedetta , Ippoliti Silvia , Acciarri Carla , De Pace Vanessa , Lanfranchi Leonardo , Bellocchi Maria Concetta , Giurato Giorgio , Ferrarese Roberto , Lagioia Antonella , Francisci Daniela , Colombo Martina Laura , Lazzarin Samuel , Ogliastro Matilde , Cappelletti Maria Rosa , Iannetta Marco , Rizzo Francesca , Santoro Carmen Rita , Fraccalvieri Chiara , Testa Sophie , Carioti Luca , Rocco Teresa , Saracino Annalisa , Cattelan Annamaria , Clementi Massimo , Sarmati Loredana , Riva Agostino , Antinori Spinello , Zehender Gianguglielmo
Published: September 2022

SARS-CoV-2 is constantly evolving leading to new variants. We analysed data from 4,400 SARS-CoV-2-positive samples in order to continue variant surveillance in Italy to evaluate their epidemiological and relative impact on public health in the period April-December 2021. The main circulating strain (76.2%) was Delta followed by Alpha (13.3%), Omicron (5.3%) and Gamma variants (2.9%). B.1.1 lineages, Eta, Beta, Iota, Mu and Kappa variants represented around 1% of cases. Overall, 48.2% of subjects were not vaccinated with a lower median age compared to vaccinated subjects (47 vs. 61 years). An increasing number of infections in vaccinated subjects was observed overtime, with the highest proportion in November (85.2%). Variants correlated with clinical status; the largest proportion of symptomatic patients (59.6%) was observed among Delta variant, while subjects harboring Gamma variant showed the highest proportion of asymptomatics (21.6%), albeit also of deaths (5.4%). The Omicron variant was only found in vac-cinated subjects, of which 47% were hospitalized. Diffusivity and pathogenicity associated with the different SARS-CoV-2 variants are likely to have relevant public health implications, both at national and international level. Our study pro-vides data on the rapid changes in the epidemiological landscape of SARS-CoV-2 variants in Italy.
Carboniferous-Early Permian Heterogeneous Porous Carbonate Reservoirs Prediction and Sedimentary Analysis in the Central Uplift of the South Yellow Sea Basin
Authors: Wu Shuyu , Sun Qiliang , Liu Jun , Chen Jianwen
Published: September 2022

Mesozoic-Palaeozoic marine carbonate rocks are important hydrocarbon reservoirs in the Central Uplift area of the South Yellow Sea Basin (SYSB). Due to the lack of boreholes and the great heterogeneity of carbonate reservoirs, the distribution of porous carbonate reservoirs and their related key controlling factors remain unclear. Based on seismic inversion and isotope analysis, this study explores the factors affecting the distribution of porous Carboniferous-Early Permian carbonate reservoirs in the SYSB. In this study, the log-seismic characteristics of porous carbonate reservoirs, sensitive lithology parameters, and physical property parameters are extracted and analyzed. The pre-stack simultaneous inversion technique is applied to predict the lithology properties and physical properties of the porous carbonate reservoirs. Moreover, the sedimentary of carbonate is analyzed using isotopes of carbon, oxygen, and strontium. The results indicate that porous carbonate reservoirs with porosities of 3%~5% mainly occur at the paleo-highland (Huanglong Formation and Chuanshan Formation) and the slope of paleo-highland (Hezhou Formation). The porous carbonate reservoirs of the Qixia Formation are only locally developed. In addition, the study area was dominated by a warm and humid tropical climate from the Carboniferous to Early Permian, with four sea-level eustatic fluctuation indicated by the negative and positive δ13C excursions. When the sea level fell, the study area was exposed and denuded, and the supply of terrigenous detrital was dominated, which significantly influenced the carbonate deposit and diagenesis. This study highlights that sedimentation was a key factor in controlling the quality of Carboniferous-Early Permian carbonate reservoirs. The methods proposed in this study can be used in other carbonate-dominated strata worldwide.
Development of a Technique for Estimating the Moniliophthora Roreri Spore Loads of Cacao Fields
Authors: Jiménez-Zapata Diana L. , Quiroga-Peréz Manuela , Quiroz-Yepes Manuela , Marulanda-Tobón Alejandro , Alvarez Javier C. , Mosquera-López Sandra
Published: September 2022

Frosty pod rot, caused by Moniliophthora roreri, is the most damaging disease of cacao in Latin America. However, to better comprehend its epidemiology, we must understand its dissemination and proliferation. Still, we ignore how loads of M. roreri spores fluctuate across growing seasons since we lack a reliable technique to quantify M. roreri spores in the fields. Therefore, we developed a method that uses a spore trap to capture M. roreri spores and qPCR to quantify them. This study demonstrated that this technique could quantify 3.9 x104 M. roreri spores with a 95 % confidence level. However, it could not differentiate between M. roreri and its close relative, M. perniciosa. Despite this limitation, we could detect and quantify Moniliophthora spores from environmental samples taken from a cacao field. This technique can help the phytopathologist address studies more accurately in disseminating cacao pathogens.
Pelatihan Pembuatan Cairan Serbaguna Eco-Enzyme dari Sampah Organik dan Cara Pemanfaatannya di Desa Gondangmanis, Bae, Kudus
Authors: Yuliani Farida , Kristiowati Diana , Hermyantono Chris
Published: September 2022

Training on Making Eco-Enzyme Multipurpose Liquids from OrganicWastes and How to Use in Gondangmanis Village, Bae, Kudus. Eco-Enzyme (EE) is a multifunctional liquid produced from anaerobic fermentation of organic waste, especially from fresh fruit and vegetable wastes. Until now, most Indonesian citizens have not known about this enzyme, including the partner, residents of Gondangmanis Village, Bae District, Kudus Regency. This training aims to enable the partners to produce EE from organic wastes at the household level and its application. The direct benefit of this activity is to add value to household waste. The indirect benefit is to increase the volume of recyclable wastes towards zero waste. The used method consisted of lectures, practices of EE production, storage, and application. The EE production practice used a plastic drum with a capacity of 120 liter filled with 90 liter of water, 27 kg of organic wastes, and 9 kg of molasses. The result showed that total EE produced was 73 liter, smells good with light brown, and at a pH of 3.0. The partner used the EE for household cleaning, air purification, and floodwater purification. There is a percentage increase in participants' understanding of 90% who initially did not know EE to be able to make and apply it. Using organic waste for EE production can reduce as much as 50% of the amount of organic waste.
Proposal of Decision-Making Method Under Multi-Task Based on Q-Value Weighted by Task Priority
Authors: Hanagata Tomomi ,   Muroran Institute of Technology 27-1 Mizumoto-cho, Muroran, Hokkaido 050-8585, Japan, Kurashige Kentarou
Published: September 2022

Robots make decisions in a variety of situations requiring multitasking. Therefore, in this work, a method is studied to address multiple tasks based on reinforcement learning. Our previous method selects an action when the q-values of the action for each task correspond to a priority value in the q-table. However, the decision-making would select an ineffective action in particular situations. In this study, an action value weighted by priority is defined (termed as action priority) to indicate that the selected action is effective in accomplishing the task. Subsequently a method is proposed for selecting actions using action priorities. It is demonstrated that the proposed method can accomplish tasks faster with fewer errors.
Design and Implementation of Environmental Monitoring System Based on Multi-Protocol Fusion Internet of Things
Authors: Zhao Xiaoyan , Li Jianwei , Chen Ruiguang , Li Chunlei , Chen Yan , Zhang Tianyao , Zhang Zhaohui ,   School of Automation and Electrical Engineering, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing 100083, China,   Shunde Innovation School, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing 100083, China,   Beijing Engineering Research Center of Industrial Spectrum Imaging, University of Science and Technology Beijing 30 Xueyuan Road, Haidian District, Beijing 100083, China
Published: September 2022

Internet of Things (IoT) is a highly integrated and comprehensive information technology that is currently a research hotspot. However, it presents many challenges; e.g., the use of multiple products in one IoT can lead to incompatible communication. It is imperative to solve the problem of communication protocol heterogeneity. In this study, a multi-protocol fusion IoT called MPFIoT was designed, implemented, and applied to environmental monitoring in a community. A hierarchical design was adopted in MPFIoT. It was divided into four layers: a data perception layer, a wireless transmission layer, a gateway layer, and an application layer. First, in the data perception layer, various sensors were used in the community to collect diverse environmental information. Second, in the wireless transmission layer, four wireless communication protocols were applied: Wi-Fi, LoRa, ZigBee, and Bluetooth. Third, the gateway layer had two sub-layers: the protocol fusion sub-layer was designed to reduce the degree of heterogeneity between protocols, and the control command sub-layer was used to control nodes via the control command frame. Finally, the application layer communicated with the gateway layer through the TCP/IP protocol. Thus, MPFIoT with four layers was developed, and its functions and performance were tested. The test results indicated that multiple types of environmental data can be collected and transmitted by MPFIoT. The packet loss ratio was less than 2% and the transmission delay was approximately 500 ms, which satisfied the application requirements.
Research on Edge Cloud Load Balancing Strategy Based on Chaotic Hierarchical Gene Replication
Authors: Zhu Leilei , Wu Zhichen , Zhao Ke , Liu Ruixiang , Liu Dan , Su Wei , Li Li ,   College of Computer Science and Technology, Changchun University of Science and Technology  7186 Weixing Road, Changchun, Jilin 130022, China,   College of Medical Information, Changchun University of Chinese Medicine 1035 Boshuo Road, Jingyue National High-tech Industrial Development Zone, Nanguan, Changchun, Jilin 130117, China
Published: September 2022

Edge cloud is used to handle latency-sensitive services. However, due to the large number of concurrent requests for edge intensive tasks, the resource allocation strategy affects the stability of nodes. In addition to an adaptive resource allocation model based on chaotic hierarchical gene replication (CRPSO model), the concept of chaotic replication ratio is proposed. This study is divided into two parts. The first is to verify the algorithm verification of the simulation platform. By comparison, it is found that CRPSO reduces the CPU and bandwidth utilization by 43.7% and 62.7% on average, respectively, and the memory usage is also lower than other algorithms. Thereafter, we compared the CRPSO algorithm with the Kubernetes clustering algorithm. Experiments showed that the fitness of the CRPSO model is 33.7% higher than that of the comparison algorithm on average. The algorithm is superior to the cluster scheduling algorithm in terms of CPU utilization and memory utilization. Furthermore, the total variance of the two resources involved in this model improved significantly, reaching 69.8% on average. In addition, CRPSO also has great advantages in other aspects of CPU and memory. It is indicated that the model in this study is suitable for the scenario of edge large-scale requests.
Oreochromis niloticus Growth Performance Analysis Using Pixel Transformation and Pattern Recognition
Authors: Rosales Marife A. , Bandala Argel A. , Vicerra Ryan Rhay P. , Sybingco Edwin , Dadios Elmer P. ,   Department of Electronics and Computer Engineering, De La Salle University (DLSU) 2401 Taft Avenue, Malate, Manila 1004, Philippines,   Department of Manufacturing Engineering and Management, De La Salle University (DLSU) 2401 Taft Avenue, Malate, Manila 1004, Philippines
Published: September 2022

To achieve healthy development and optimal growth for harvest in an aquaculture system, correct determination of fish growth stages is very important. The sizes or growth stages of the fish are used by farm managers to regulate stocking densities, optimize daily feeding, and ultimately choose the ideal time for harvesting. This paper presented a vision system-based fish classification using pixel transformation and neural network pattern recognition. Morphometrics parameters are used to facilitate a supervised gathering of datasets. Before feature extraction, the images go through intensity transformation using histogram analysis and Otsu’s thresholding. Using Pearson’s correlation coefficient, the six most important characteristics of the original ten attributes were identified. The developed intelligent model using neural network pattern recognition has an overall training accuracy equal to 90.3%. The validation, test, and overall accuracy are equal to 85.7%, 85.7%, and 88.9%, respectively.
Pengembangan Gagasan pada Tajuk Rencana Surat Kabar Daring
Authors: Talitha Stella , Suhendra  , Rosdiana Rina
Published: September 2022

Permasalahan yang dihadapi adalah belum adanya tajuk rencana dalam surat kabar daring Jabaronline.com. Solusi yang ditawarkan oleh tim pengabdi adalah memberikan pelatihan dan pendampingan kepada mitra. Metode yang dilakukan dalam PkM ini, yaitu pertama menetapkan mitra sasaran dan mengajukan kerja sama. Selanjutnya melakukan koordinasi dengan pimpinan redaksi Jabaronline.com dan menyusun materi yang akan diberikan dalam pelatihan, yaitu berupa materi pengembangan gagasan dan tajuk rencana. Dalam tahap pelaksanaan kegiatan, metode yang tim gunakan, yaitu dengan metode ceramah, demonstrasi, diskusi, dan tugas. Target yang telah dicapai oleh kegiatan pengabdian kepada masyarakat yang bekerja sama dengan Jabaronline.com secara umum adalah mitra memiliki dasar untuk pembuatan tajuk rencana. Target khusus yang telah dicapai dalam kegiatan ini di antaranya: 1) meningkatkan kemampuan pengembangan gagasan dalam penyusunan artikel berita, 2) meningkatkan pengetahuan jenis-jenis tajuk rencana. Simpulan dari kegiatan ini adalah upaya pembuatan tajuk rencana dalam surat kabar daring dapat dilakukan dengan pelatihan dan pendampingan dalam penulisan dan pengembangan gagasan artikel.
Systematic beneficial use of dredged sediments : matching sediment needs with dredging requirements
Authors: Piercy Candice , Boyd Brandon , Russ Emily , Runion Kyle
Published: September 2022

This technical note (TN) will outline a framework to identify beneficial and cost-effective coastal beneficial use of dredged sediment (BUDS) projects. Creation of a BUDS framework that can be applied at scale will promote sustainable BUDS practices, facilitating the delivery of flood risk management, social, and environmental benefits while still fulfilling the US Army Corps of Engineers (USACE) navigation mission. This proactive forecasting approach uses multi-criteria decision analysis (MCDA) and optimization tools to balance tradeoffs between navigation dredging and BUDS goals over project-scale timespans. The proposed framework utilizes available tools to quantify ecological system evolution and current and future dredging needs to develop a systems-level approach to BUDS. Required data include current and future information on (1) existing and planned natural and created aquatic ecological systems, which may include natural and nature-based features (NNBFs), (2) dredging requirements and costs, and (3) aquatic system physical and environmental data.
Upscaling Shear Strength of Heterogeneous Oil Sands with Interbedded Shales Using Artificial Neural Network
Authors: Zhang Bo , Ma Zhiwei , Zheng Dongming , Chalaturnyk Rick J. , Boisvert Jeff
Published: September 2022

Understanding the shear strength of caprock shale and oil sands is important in risk assessment of slope stability in open-pit mining, caprock integrity of in-situ thermal recovery, and optimization of bitumen production from oil sands. A robust and efficient upscaling technique is essential to model the impact of heterogeneity on the deformation and failure of oil sands and caprock shale. Although conventional analytical and numerical upscaling techniques are available, many of these methods consider oversimplified assumptions and have high computational costs, especially when considering the impact of spatially correlated interbedded shales on the shear strength. A machine learning enhanced upscaling (MLEU) technique that leverages the accuracy of local numerical upscaling and the efficiency of artificial neural network (ANN) is proposed here. MLEU uses a fast and accurate ANN proxy model to predict the anisotropic shear strength of heterogeneous oil sands with interbedded shales. The R2 values of the trained ANN models exceed 0.94 for estimating shear strengths in horizontal and vertical directions. The deviation of upscaled shear strength from numerical upscaled results is improved by 12–76% compared with multivariate regression methods like response surface methodology (RSM) and polynomial chaos expansion (PCE). In terms of computational efficiency, the proposed MLEU method can save computational effort by two orders of magnitude compared with numerical upscaling. MLEU provides a reasonable estimate of anisotropic shear strength while considering uncertainties caused by different distributions of shale beddings. With the increasing demand for regional scale modeling of geomechanical problems, the proposed MLEU technique can be extended to other geological settings, where weak beddings play a significant role and the impact of heterogeneity on shear strength is important.
Can weed composition and diversity support chickpea yield? A case study on dryland fields from western Iran
Authors: Sohrabi Naser , Bagheri Alireza , Nosratti Iraj , Mondani Farzad
Published: September 2022

To evaluate the impacts of weed communities on chickpea yield (Cicer arietinum L.), an on-farm survey was conducted with a sampling from 85 dryland chickpea fields in a rural district, western Iran. The results showed that chickpea yield tended to decrease with increasing weed density and canopy cover as indicated by a polynomial response. Increasing weed density from 0 to 50 plant m-2 reduced the chickpea yield by 36.73% at the four to seven-leaf stage of chickpea. In addition, increases canopy cover from 0 to 55% caused chickpea yield loses by 41.70 g m-2 at the early podding stage of chickpea. Weed diversity and evenness had a positive effect on chickpea yield. Wild safflower (Carthamus oxyacantha M. Bieb.) and chicory (Cichorium intybus L.) were the most predominant weeds with a significant negative correlation with chickpea yield, weed evenness and diversity. Some weeds, such as licorice (Glycyrrhiza glabra L.) had a negative correlation with chicory and wild safflower and a positive correlation with weed diversity and evenness. In addition, there was a positive relationship between density and canopy cover of licorice and chickpea yield, weed diversity and evenness.
Establishment of in vitro shoot tips regeneration system of foxtail millet and obtainment of transgenic plants of SiSERK1
Authors: Guofan Wu , Nongfu Tian , Wenbo Li , Wangze Wu , Sheng Zheng , Ning Yang
Published: September 2022

Foxtail millet (Setaria italica) would be suitable as a model plant of C4 plants given its small genome (about 470 MB) and diploid self-pollination. However, the study of foxtail millet faces the problem of low efficiency of explant regeneration and genetic transformation. In this study, a new genetic transformation system of Yugu1 foxtail millet is established with in vitro shoot tips as the explant, and, the concentrations of 6-BA and kanamycin are optimized. It is found 0.5 mg L-1 6-BA and 25 mg L-1 kanamycin are the most suitable in terms of the differentiation rate of shoot tips and survival rate of differentiated seedlings. In addition, 12 transgenic foxtail millets of SiSERK1 are identified by resistance screening and PCR. The insertion site of one line of the transgenic plants chosen at random is further identified. The results of qRT-PCR show that the expression of SiSERK1 gene in transgenic plants is significantly higher than that in wild-type plants. A new method of generation of material for further study of SiSERKs is provided for foxtail millet genetics and breeding.
DeDoc2 identifies and characterizes the hierarchy and dynamics of chromatin TAD-like domains in the single cells
Authors: zhang Zhihua , Li Angsheng , Zeng Guangjie , Wang Haoyu , Li Xiao
Published: September 2022

Topologically associating domains (TAD) are functional chromatin units with hierarchical structure. However, the existence, prevalence and dynamics of such hierarchy in single cells remain unexplored. Here, we report a new generation TAD-like domain (TLD) detection algorithm, named deDoc2, to decode the hierarchy of TLDs in single cells. With dynamic programming, deDoc2 seeks genome partitions with global minimal structure entropy for both whole and local contact matrix. Compared to state-of-the-art tools, deDoc2 can uniquely identify the hierarchy of TLDs in single cells, in addition to outperforming its competitors. By applying deDoc2, we showed that the hierarchy of TLDs in single cells is highly dynamic during cell cycle, as well as among human brain cortex cells, and that it is associated with cellular identity and functions. Thus, our results demonstrated the abundance of information potentially encoded by TLD hierarchy for functional regulation. The deDoc2 can be freely accessed at https://github.com/zengguangjie/deDoc2.
Exploration of the role of Mesencephalic astrocyte-derived neurotrophic factor in septic acute kidney injury
Authors: chen Saifeng , Guo Dongfeng , Hao Xuewei , Yuan Xiaoyan , Chen Guo , Liu Guorong , Xu Lei , Chen Yajing
Published: September 2022

Objective
The Mesencephalic astrocyte-derived neurotrophic factor whether it has a protective effect on sepsis renal injury.
Methods
Mice were randomly divided into Control group, Control + MANF group, SAKI group, and SAKI + MANF group (n = 24). SAKI model mice were constructed by intraperitoneal injection of 10 mg/kg LPS to SAKI group and SAKI + MANF group mice. The WESTERN BLOT method and ELISA method were used to determine the change of MANF content in mice with septic kidney injury. Then the renal function and inflammatory factors of SAKI model mice were measured, and the relationship between MANF content and renal function and inflammatory factors were observed. Subsequently, we injected 200µg/Kg MANF into the abdominal cavity of mice in the Control + MANF group and SAKI + MANF group. Measure the change of MANF content in mice and its relationship with renal function and inflammatory factors. Finally, the kidneys of the four groups of mice were observed by preparing pathological sections of kidney tissues.
Results
In the early stage of sepsis renal injury, the content of MANF increased rapidly, but with the progress of the disease, the content of MANF decreased, the renal function of mice decreased, An obvious abnormality was found in all indexes. After recombinant human Mesencephalic astrocyte-derived neurotrophic factor was given to septic renal injury mice, the renal function was restored. Pathological sections showed that the renal tissue of normal + MANF mice was similar to that of normal mice, and there was no significant change. The renal tissue of septic renal injury mice was significantly damaged.
Conclusion
Mesencephalic astrocyte-derived neurotrophic factor has a certain protective effect on septic renal injury. Exogenous supplement of MANF can effectively alleviate the degree of renal injury after septic renal injury.
Spatiotemporal microplastic occurrence study of Harike wetland, A Ramsar wetland of India
Authors: Manzoor Shaista , Singh Rahul
Published: September 2022

Ramsar wetlands are one of the least investigated areas for microplastic contamination. Harike wetland is located downstream of the confluence of the Beas and Sutlej rivers. Rivers are nature's drainage systems, which collect waste from everywhere and move ahead. On the same note, the Harike wetland, which is the largest wetland in North India and is a great home for migratory birds and aquatic animals, and the water of its canal that supplies water to the semiarid part of India's largest state, microplastics in the water were analyzed. Apart from seasonal variation, the fish gut of C. carpio caught from the fishing site of the canal has also been analysed. Between sites 1 and 2, no significant difference was found in the quantity of microplastics, but in season variation, winter showed a higher significant level than summer and the rainy season. The wetland and canal were dominated by two types of plastics: HDPE and nylon. The conformational test, along with FTIR and GC-MS, was also performed. From the gut of C. carpio, microplastics of less than 5mm in size were also recovered. The percentage of recovery was 7% of the total fish analysed. This percentage may be less, but it is not ignorable. Indeed, the amount of poorly managed plastic garbage generated by people living around or illegal outskirts garbage dumping near rivers and tributaries is a potential source of aquatic debris.
Covid-19 vaccination hesitancy in Mexico City among healthy adults and adults with chronic diseases
Authors: Gonzalez-Block Miguel , Calderón Emilio Gutiérrez , Sarti Elsa
Published: September 2022

Background. Monitoring of SARS-COV-2 vaccine hesitancy is important for epidemic control. We measured vaccine hesitancy among healthy adults and adults with chronic diseases after they had been offered the first dose of the vaccine in Mexico City.
Methods. An observational cross-sectional study was undertaken among 185 healthy adults and 175 adults living with chronic diseases. Differences in means of variables for confidence, complacency, and convenience were analyzed. Aggregate indicators were constructed and their association to socioeconomic and demographic conditions and to vaccination acceptance were analyzed using multivariate analysis of variance and multivariate logistic analysis.
Results. Up to 16.8% of healthy adults and 10.3% of sick adults report not having received the SARS-COV-2 vaccine. Healthy adults are more complacent about COVID-19 risks than adults with chronic diseases, while no differences were reported across the two groups regarding other hesitancy aggregate indicators. Among adults with chronic diseases, those with more education and enrolled with a social insurance institution are less complacent of COVID-19, while education is positively associated to convenience across both groups. Less complacency with COVID-19 and more confidence on the vaccine are associated to higher vaccine acceptance across both groups. Among adults living with chronic diseases the odds ratios of vaccine acceptance are higher for less complacency (OR=2.4, p=0.007) than for confidence (OR=2.0, p=0.001). Odds ratios of vaccine acceptance in these two hesitancy indicators are similar among healthy adults (OR=3.3, p=<0.005), and higher than for adults with comorbidities.
Conclusions. Confidence in the vaccine and complacency regarding COVID-19 risks play an important role for vaccine acceptance in Mexico City, particularly among healthy adults. The perception of risk regarding COVID-19 is more important than confidence in vaccine safety and effectiveness. Promotion of COVID-19 vaccines needs to focus on decreasing complacency with COVID-19 and increasing vaccine confidence, particularly among healthy adults.
Knowledge domain and hotspot trends in coal and gas outburst: a scientometric review based on CiteSpace analysis
Authors: Xu Chao , Yang Tong , Wang Kai , Guo Lin , Li Xiaomin
Published: September 2022

Coal and gas outburst is one of the main dynamic disasters in coal mine production. When a coal and gas outburst occurs, a large amount of coal and gas are thrown into the mining space, causing casualties and equipment damage, and even inducing secondary disasters such as gas explosions and coal dust explosions. Therefore, it is essential to carry out relevant research on coal and gas outburst to prevent the occurrence and development of accidents. In order to deeply understand the overall research progress in the field of coal and gas outburst, the Web of Science (WOS) database is used as the sample source, and the bibliometric analysis of the literature in the field of coal and gas outburst from 2000 to 2021 is carried out by CiteSpace software. The knowledge maps of the publication quantity, country, institution, and keyword cluster are drawn. The results show that the time distribution has gone through three stages of germination period, development period, and growth period. Especially during 2010–2021, the publication quantity increased exponentially, which opened the golden age of rapid development in the field of coal and gas outburst. In terms of the cooperation network, China, Australia, and USA are the main core research countries, while China University of Mining and Technology, Chongqing University, and Henan Polytechnic University are the main core research institutions, and the main core journals are IGCG, IGRMM, and Fuel. By drawing the knowledge map of keywords timeline, the evolution law of keywords in the field of coal and gas outburst with time is obtained; Taking keywords as the object, cluster labels with gas outburst, gas extraction, gas control, and pore structure as the core are presented; By extracting and analyzing the top 10 keywords of burst strength, keywords such as stress, disaster, and desorption have gradually become the development trend of hot spots and have been widely concerned by researchers. On this basis, from a new perspective, this paper outlines the "scientific research landscape map" in the field of coal and gas outburst, in order to provide a scientific reference for coal and gas outburst research.
Analysis of CAFs‑related Genes Identifies COL11A1 Associated with Lung Adenocarcinoma Diagnosis and Prognosis
Authors: haosheng zheng , Qin Xianyu , Zheng Yuzhen , Yang Xingping , Tan Jian , Cai Weijie , He Shiyun , Liao Hongying
Published: September 2022

Background
Difficulties in the treatment of lung adenocarcinoma(LUAD) are due to lack of understanding of relevant molecular mechanisms and limited potential therapeutic options. Cancer-related fibroblasts(CAFs) play an important role in the occurrence and development of cancers. Therefore, this study aimed to identify a promising molecular target associated with CAFs for the diagnosis and prognosis of LUAD.
Methods
The Cancer Genome Atlas (TCGA) LUAD dataset was used to screen out the hub genes by EPIC algorithm and Weighted Gene Co-expression Network Analysis (WGCNA). GEPIA database, Kaplan-Meier Plotter database, GSE72094, GSE75037, and GSE32863 were used to verify the differential expression and survival of hub genes. Immunohistochemistry (IHC) was used to assess the expression of COL11A1 in LUAD and adjacent normal tissues. GO/KEGG functional analyses and single-cell TISCH database were used to elucidate the underlying mechanisms of COL11A1.
Results
Based on the TCGA LUAD dataset, 13 hub genes associated with CAFs were screened out by the EPIC algorithm and WGCNA. These were ADAM12, ADAMTS12, COL11A1, COL1A1, COL1A2, COL3A1, COL5A1, COL5A2, ITGA11, LRRC15, POSTN, THBS2, THY1. Using the GEPIA database, Kaplan-Meier Plotter database, GSE72094, GSE75037, and GSE32863, we confirmed that COL11A1 was overexpression in LUAD tumor tissues and high expression of COL11A1 had a poor prognosis. Using IHC experiment data, we confirmed that the expression of COL11A1 was significantly higher in LUAD (P < 0.001). We found that COL11A1 had a mutation frequency of 18% and COL11A1 promoter hypermethylation in LUAD (P < 0.05). Using GO/KEGG analyses, we found that COL11A1 was mainly related to the biological activities of the extracellular matrix in LUAD. Finally, in the TISCH database, we found that the expression of COL11A1 was mainly secreted by CAFs in the TME rather than from LUAD cells.
Conclusion
COL11A1 may be expressed and secreted by CAFs in the TME and affect the biological behavior of proliferation, invasion, and metastasis of LUAD cells. COL11A1 may serve as a potential diagnostic and prognosis biomarker for LUAD.
Parental Corporal Punishment and Nonsuicidal Self-Injury Among Chinese Adolescents: The Mediating Role of Depressive Symptoms and the Moderating Role of the GABRA2 Genotype
Authors: Chen Yanrong , Yu Chengfu , Wang Zhenhai , Tao Zhiyuan , Zhang Wei
Published: September 2022

Nonsuicidal self-injury (NSSI) is a global health concern. Parental corporal punishment is shown to be related to NSSI, with unclear underlying mechanisms. The current study tested a potential mediator (i.e., depressive symptoms) and moderator (i.e., the GABRA2 rs279858 genotype) in the relationship between parental corporal punishment and NSSI. Chinese adolescents (N = 673; 53% girls; aged 11–14 years) completed self-report measures and provided saliva samples for DNA genotyping. A moderated mediation model was tested. The results showed that parental corporal punishment was positively associated with NSSI, and depressive symptoms partially mediated this association. The linkage between depressive symptoms and NSSI was weaker among rs279858 GA or GG genotype carriers than AA genotype carriers. Implications of this study are discussed.
Complete RNA replication cycles in a Hadean microcompartment
Authors: Salditt Annalena , Karr Leonie , Salibi Elia , Vay Kristian Le , Braun Dieter , Mutschler Hannes
Published: September 2022

The replication of nucleic acids is a prerequisite for the survival and evolution of living systems. Before the advent of protein synthesis, genetic information was most likely stored on and replicated by RNA. However, experimental systems for sustained RNA-dependent RNA-replication are difficult to realise due to the high thermodynamic stability of duplex products and the low chemical stability of catalytic polynucleotides. Using a derivative of a group I intron as a model for an RNA replicase, we show that heated air-water interfaces exposed to a plausible CO2-rich atmosphere drive complete cycles of plus and minus strand replication. The reaction is driven by autonomous oscillations in salt concentrations and pH that transiently destabilise RNA duplexes. Newly synthesised strands can dissociate from their templates and adopt catalytically active conformations. Our results suggest that an abundant Hadean microenvironment may have promoted the replication of RNAs while maintaining the activity of the synthesised ribozymes.
Upgrading Traditional Poly(1,3-dioxolane) Electrolytes via Integrated Design of Ultra-Stable Network for Solid-State Lithium Metal Batteries
Authors: Li Hao , Du YunFei , Zhao Long , Xiong Chenyu , Zhao Erqing , Li Changgong , Hao Shumeng , Zhou Weidong
Published: September 2022

Poly(1,3-dioxolane) (PDOL)-based solid electrolytes are expected to be exploited in solid-state lithium metal batteries (SLMBs) due to their high ionic conductivity, good lithium metal compatibility, and facile preparation method ofin-situpolymerization in cells. However, inferior structural stability and low Li-ion transference number (tLi+) still impede PDOL from authentic commercialization. Herein we propose a novel ultrathin crosslinked PDOL-based electrolyte (PTADOL), which is preparedviaa multifunctional trimethylolpropane tris[3-(2-methyl-1-aziridine) propionate] additive. Thein-situformed PTADOL not only affords an integrated network configuration with stabilized electrode/electrolyte interface, but also achieves improved oxidative stability, excellent thermal stability, and superior flame retardancy. Moreover, PTADOL has rational O-Li+coordination for fast Li+transport, which enhances both ionic conductivity andtLi+. Based on the ultra-stable PTADOL, the high voltage LiNi0.8Mn0.1Co0.1O2||Li batteries exhibit excellent electrochemical performance without electrolyte degradation. This work provides a practical approach to designing a highly stable solid polymer electrolyte for high-performance SLMBs.
Assessment of the earthquake-triggered landslide susceptibility using machine learning and grey wolf optimizer (GWO): A case study of Jiuzhaigou
Authors: Wei Liangshuai , Gou Jingsong , Wu Lei , Yang Xin , Liu Rui
Published: September 2022

Landslide susceptibility assessment plays a critical role in disaster management and post-disaster planning. Machine learning-based approaches have recently attracted a lot of attention. However, the parameters tuning in this category of methods has not been accurately determined and is even considered as a weak point. The main objective of this study is to develop two machine learning-based landslide susceptibility models that optimized using a metaheuristic optimization algorithm, the grey wolf optimizer (GWO), for assessing the probability of landslide occurrence without artificial tuning. The selected machine learning algorithm were random forests (RF) and support vector machines (SVM). We apply the optimized models to Jiuzhaigou County on the eastern margin of Qinghai-Tibet Plateau. A total of 270 earthquake-triggered landslides were identified by remote sensing interpretation and filed surveys. Sixteen predisposing factors involving geology, human activity, and hydrology were extracted from the available materials. Then thirteen factors suitable for the study area were selected using multicollinearity diagnosis methods. Two meta-optimization models, GWO-RF, GWO-SVM, were con-structed after GWO's automated search for model parameters. Finally, the Receiver Operating Characteristic (ROC) curve and related statistics, including Accuracy, Sensitivity, and Specificity, were chosen to evaluate and compare the performance of the optimized landslide susceptibility models. Both models were constructed with ROCs higher than 0.95 on the training dataset and validation dataset as well as high accuracy. GWO-RF obtained the best both of accuracy and AUC values of 0.9198 and 0.972 on the validation dataset, respectively. Furthermore, we performed a weighting analysis of the factors and speculated on the relationship between the raw data distribution and accuracy. The results of this study show that the construction of the landslide susceptibility model optimized using a metaheuristic optimization algorithm is a feasible approach.
Does the Hinterland Distance Affect the Competitiveness of European ports? Based on the Nighttime Light Data
Authors: Li Kaiyuan , Liu Wei , Yang Yanbin , Wang Liehui , Sun Ling
Published: September 2022

Over 80% of global trade by volume and more than 70% of its value are carried by the seaborne worldwide. As the critical hub between sea and land, ports handle a huge amount of cargo. In the past, hinterland could be split by the distance of port-hinterland. With the development of containerization and multi-model transport, the reduction in transport rates makes the distance between port and hinterland not as important as before. Therefore, we want to know if the competitiveness of every port is not in causality with distance. Nighttime light (NTL) is applied to observe the hinterlands of the European continent. Container throughput (TP) and Liner shipping connectivity (LSC) are selected as characteristics reflecting port competitiveness. The result of the Ganger causality test means that there is no causality between NTL and TP or LSC for most ports. For the contribution, NTL is tried to discover the port-hinterland relationships in space, and the whole European continent is used to test the causality between NTL and TP or LSC. Because parts of the ports are still causality, the results of this paper will help establish the recognition of port supply and demand based on port-hinterland relationships.
Changes of salivary metabolomics in patients with chronic erosive gastritis
Authors: Liu Shaowei , Zhang Shixiong , Chen Haoyu , Zhou Pingping , Yang Tianxiao , Lv Jingjing , Li Huixia , Wang Yangang
Published: September 2022

Introduction Chronic erosive gastritis (CEG) is closely related to gastric cancer and needs early diagnosis and intervention. The invasiveness and discomfort of electronic gastroscope make it difficult to apply to the extensive screening of CEG. Therefore, a simple and noninvasive screening method is needed in clinic.
Objectives The aim of this study is to screen potential biomarkers that can identify diseases from saliva samples of CEG patients using metabolomics.
Methods Saliva samples from 64 CEG patients and 30 healthy volunteers were collected, and metabolomic analysis was performed using uhplc-q-tof/ms in the positive and negative ion mode. Statistical analysis was performed using univariate (student's t-test) and multivariate (orthogonal partial least squares discriminant analysis). Receiver operating characteristic (ROC) analysis was used to determine potential predictors in saliva of CEG patients.
Results By comparing saliva samples from CEG patients and healthy volunteers, we found 45 differentially expressed metabolites, of which 37 were up-regulated and 8 were down-regulated. These differential metabolites are related to amino acid, lipid, phenylalanine metabolism, protein digestion and absorption, and mTOR signaling pathway. In the ROC analysis, the AUC values of 7 metabolites were greater than 0.8, among which the AUC values of 1,2-dioleoyl-sn-glycoro-3-phosphodylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phospholine (SOPC) were greater than 0.9.
Conclusions We identified salivary metabolites related to CEG and screened out 45 potential biomarkers, 1,2-dioleoyl-sn-glycoro-3-phosphorylcholine and 1-stearoyl-2-oleoyl-sn-glycoro-3-phosphorine (SOPC), which may have clinical application value.
Growth and Study of Gamma Glycine Mixed With Oxalate, Nitrate and Maleic Acid With Its Structure and Transmission by Sest Method
Authors: Priyadharshini V.J. , BEGUM A.MEHARAJ , SHALINI P.BABY , MEENAKSHI G
Published: September 2022

Comparative study of three different types of γ- glycine compounds doped with oxalate, lithium nitrate and maleic acid were doped in slow evaporation method. Gamma glycine was doped with different ratio and crystals were synthesized. Powder X-Ray diffraction was calculated and recorded as GLN and BGM belong to hexagonal group were BGO changes to monoclinic system. The UV-VIS system shows the lower cutoff transmission in which all the crystals are soft material calculated by the Micro hardness method. These crystals pose good agreements for the Non linear property of second harmonic generation.
Clinical Response and Safety of Bevacizumab-awwb treatment in Patients with Metastatic Colorectal Cancer: A case series and review of the literature
Authors: Hung Chun-Yen , Chen Chou-Pin , Chen Chou-Chen
Published: September 2022

Background:Bevacizumab-awwb (MVASI®) is the first and the only bevacizumab biosimilar made available in Taiwan. However, its extrapolation of indication and the lack of available real-world clinical data has raised some concern. This article is aimed at presenting our real-world experience in the use of MVASI for treating patients with metastatic Colorectal Cancer (mCRC) for purposes of evaluating tumor response and safety.Materials & Methods:Adult patients from a single institution initiating MVASI use following an mCRC diagnosis during the period of May 2020 to August 2021 were included in the study. Each patient's demographics and tumor characteristics were collated retrospectively. We described treatment patterns and evaluated treatment efficacy stratified by initiating MVASI as either first line or later line therapy.Results:A total of 20 patients were identified, with 2 being excluded due to incomplete therapy and lost follow-up. The mean age of the subjects was 58.7 years. Most patients had a left-sided colorectal tumor (83.3%) and underwent a primary tumor resection (94%) prior to systemic antineoplastic therapy. Fourteen out of 18 patients initiated MVASI use as first line therapy, where the Disease-control Rate (DCR) was 85.7%. Alternatively, four out of 18 patients in later line therapy all experienced disease progression, with progression-free survival (PFS) ranging 4 to 10 months. Five patients had prior bevacizumab reference product utilization but switched to MVASI mostly due to economic issues, with three of these patients (60%) showing progression disease (PFS ranging 3-10 months). Only two patients (11%) encountered adverse events during MVASI therapy.Conclusion:Both the efficacy and safety of MVASI in the mCRC population are deemed comparable with the bevacizumab reference product, exclusively at first line therapy. The strategy of switching between the biosimilar and reference product is currently controversial, and therefore further studies are still required.
Prognostic value of adjuvant external beam radiotherapy for papillary thyroid cancer based on competitive risk model and propensity score matching
Authors: Zhou Jiani , Wu Chaoqun , Fan Shihong , Zhao Miaohui
Published: September 2022

Background: This study aimed to assess the impact of adjuvant external beam radiotherapy (EBRT) on the survival of patients with locally invasive papillary thyroid carcinoma.
Methods: This retrospective study used data from the Surveillance, Epidemiology, and End Results database for the diagnosis of papillary thyroid carcinoma, using Cox models to screen for adverse prognostic factors. The prognostic value of using adjuvant external beam radiotherapy in papillary thyroid carcinoma was further evaluated, based on the competing risk model and propensity score matching.
Results: Based on the competitive risk model, the sub-distribution hazard ratio (SHR) of the multivariate analysis of patients receiving EBRT alone versus those receiving radioiodine-131 alone was 9.301 (95% CI, 5.99–14.44) (P<0.001), and the SHR of the univariate analysis was 1.97 (95% CI, 1.03–3.78) (P=0.042). In the propensity score-matched Kaplan–Meier analysis, patients who received EBRT still had worse OS (6-year OS, 59.62% vs 74.6%; P<0.001) and DSS (6-year DSS, 66.6% vs. 78.2%; P<0.001) than patients who did not receive EBRT. Patients who received EBRT had a higher cumulative risk of death due to thyroid cancer after PSM (P<0.001).
Conclusion: Adjuvant EBRT was not associated with survival benefit in the initial management of locally invasive papillary thyroid cancer.