bluuebunny/crossref_metadata_2025_split huggingface dataset:
Propagule resistance of an invasive Poaceae as a trait of its invasiveness
Authors: bora leticia siman , Padial André Andrian 
Published: March 2023

Abstract

Biological invasions and consequent mass development of aquatic macrophytes are a major threat to aquatic environments. As a consequence, species invasiveness is becoming of great interest. Urochloa arrecta is a mass-development invasive Poaceae that has caused many impacts in freshwaters in Brazil. Studies have described its remarkable tolerance to stressful conditions, but propagules resistance to desiccation while in dispersion is unknown. Here we analyzed through a microcosm experiment U. arrecta’ small propagules regeneration after desiccation and without any sediment - thus simulating a transportation scenario. As expected, the longer the time of stress, the lower the propagule regeneration performance. Even so, the macrophyte propagules can survive up to six days off of water and any sediment. Even when the propagules seemed unviable, there was some degree of regeneration. As a consequence of results, we state that removal and transportation of U. arrecta should be controlled considering the propagule viability.
Development of introgression lines and mapping of qGW2, a novel QTL that confers grain width, in rice (Oryza sativa L.)
Authors: Zhao Xiangqiang , Xu Zuopeng , Chen YiBo , Du Yuanyue , Li Meng , Huang Benxi , Ge Yongshen , Gu Minghong , Tang Shuzhu , Liu Qiaoquan , Zhang Honggen 
Published: March 2023

Abstract
Rice grain size is a key determinant of both grain yield and quality. Identification of favorable alleles for use in rice breeding may help to meet the demand for increased yield. In this study, we developed a set of 210 introgression lines (ILs) by using indicavariety Huanghuazhan as the donor parent and erect-panicle japonica rice variety Wuyujing3R as the recurrent parent. A total of 133 ILs were selected for high-throughput sequencing. Using specific-locus amplified fragment (SLAF) sequencing technology, 10,103 high-quality SLAF labels evenly distributed on 12 chromosomes were obtained and selected for subsequent analysis. Using a high-density map, quantitative trait locus (QTL) mapping of grain size-related traits was performed, and a total of 38 QTLs were obtained in two environments. Furthermore, qGW2, a novel QTL that controls grain width on chromosome 2, was validated and delimited to a region of 309 kb via substitution mapping. These findings provide new genetic material and a basis for future fine mapping and cloning of favorable QTLs.
Compound drivers behind new record high temperatures and surface melt at the Antarctic Peninsula in February 2022
Authors: Gorodetskaya Irina , Durán-Alarcón Claudio , Gonzalez-Herrero Sergi , Clem Kyle , imazio paola rodriguez , Santos Christophe Leroy-Dos , Campos Diego , zou xun , Dutrievoz Niels , Rowe Penny , Wille Jonathan , Favier Vincent , Blanchet Juliette , Chyhareva Anastasiia , Cordero Raul , Park Sang-Jong , Colwell Steve , Lazzara Matthew , Carrasco Jorge , Gulisano Adriana , Krakovska Svitlana , Ralph F. Martin , Pohl Benjamin 
Published: March 2023

Abstract
The Antarctic Peninsula (AP) experienced a new extreme warm event and record high surface melt in February 2022, rivaling the recent temperature records from 2015 and 2020, and contributing to an alarming series of extreme warm events there. The northern/northwestern AP was directly impacted by an intense atmospheric river (AR) bringing anomalous heat and rainfall, while AR-enhanced foehn effect further warmed its northeastern side. The event was triggered by multiple large-scale atmospheric circulation patterns linking the AR formation to tropical convection anomalies and stationary Rossby waves, with anomalous Amundsen Sea low and record-breaking blocking high. The cascade of impacts culminated in widespread and intensive surface melt across the AP. The event was statistically attributed to global warming. Increasing frequency of such events can undermine the stability of the AP ice shelves, with multiple local to global impacts, including acceleration of the AP ice mass loss and changes in sensitive ecosystems.
Acupressure for sleep disorders, fatigue, depression and pruritus in hemodialysis patients: A systematic review and meta-analysis
Authors: Liu Cong , Yang Jiju , Li Hongdian , He Pengfei , Deng Yuanyuan , Dong Ao , Ma Yu , Zhang Sai , Chen Shu , Zhang Mianzhi 
Published: March 2023

Abstract
Background To evaluate the efficacy and safety of acupressure in treating sleep disorders, fatigue, depression and pruritus in hemodialysis patients and to provide evidence for clinical treatment.
Methods The China National Knowledge Infrastructure, Wanfang Database, China Science and Technology Journal Database, Chinese Biomedical Literature Database, PubMed, Web of Science, EMBASE and Cochrane Library databases were searched to screen randomized controlled trials of acupressure for sleep disorders, fatigue, depression and pruritus in hemodialysis patients. The search time frame was all from the establishment of the database to November 2022. RevMan 5.3 software was used for Meta-analysis.
Results A total of 14 papers involving 1150 patients were included. Meta-analysis results showed that acupressure was superior to the control group in improving sleep disorders [MD=-4.06, 95% CI (-4.59, -3.54), Z=15.17 (p<0.00001)], fatigue [MD=-1.39, 95% CI (-1.57, -1.21), Z=14.87 (p<0.00001) 1.57, -1.21), Z=14.87 (p<0.00001)], depression [MD=-7.24, 95% CI (-9.88, -4.59), Z=5.35 (p<0.00001)] and pruritus [MD=-2.94, 95% CI (-5.04, -0.85), Z=2.75 (p=0.006)]. No severe adverse event was reported during the acupressure intervention.
Conclusions Current evidence suggests that acupressure is effective and safe in treating sleep disorders, fatigue, depression, and pruritus in hemodialysis patients. However, the number of included clinical studies is small and the strength of evidence is insufficient, more high-quality, large-sample, multicenter randomized clinical trials are still needed for further validation.
Dental pulp stem cells-derived cannabidiol-pretreated micro-spheroids showed robust osteogenic potential via upregulation of WNT6
Authors: Liu Fangqi , Wu Qingqing , Liu Qianwen , Chen Bo , Liu Xintong , Pathak Janak Lal , Watanabe Nobumoto , Li Jiang 
Published: March 2023

Abstract

Dental pulp stem cells (DPSC)-derived 3D-aggregates/spheroids have shown robust soft/hard tissue regeneration potential. However, difficulties to control the cell number, size, and shape of DPSC-aggregates/spheroids cause cell necrosis and difficulties in homogenous seeding of aggregates/spheroids in the 3D-printed microporous bone grafts. Moreover, inducing the osteogenic potential of these aggregates/spheroids is still a challenge. This study developed cannabidiol (CBD)-pretreated, self-assembled, and injectable DPSC-derived osteogenic micro-spheroids (70 μm) that robustly promoted in situ bone regeneration. We developed micro-spheroids by seeding 250 cells/microwell in agarose gel microwells of 200 µm diameter developed using prefabricated mold and cultured with CBD for 14 days to induce osteogenic potential. In vitro study results showed that CBD did not affect the viability of DPSC but promoted osteogenic differentiation during 2D culture. In micro-spheroids, 3D cytoskeleton visualization showed better integrity and robustly higher expression of osteogenic markers and promoted in situ bone regeneration compared with DPSC. CBD-pretreated micro-spheroids showed robustly higher bone-regenerative capacity via upregulation of WNT6. Taken together, our approach of developing organoid-like injectable osteogenic micro-spheroids can be used as the effective carrier of the effect of in vitro drug treatment during in situ bone tissue engineering which eliminates the direct in vivo drug application-related adverse effects.
Deep origins of eukaryotic multicellularity revealed by the Acrasis kona genome and developmental transcriptomes
Authors: Sheikh Sanea , Fu Chengjie , Brown Matthew , Baldauf Sandra 
Published: March 2023

Abstract

Acrasids are large, fast-moving, omnivorous amoebae. However, under certain conditions, they can also cooperate to form multicellular fruiting bodies in a process known as aggregative multicellularity (AGM). This makes acrasids the only known example of multicellularity among the earliest branches of eukaryotes (formerly superkingdom Excavata) and thus the outgroup to all other known multicellular eukaryotes. We have sequenced the genome of Acrasis kona, along with transcriptomes from cells in pre-, mid- and post-development. We find the A. kona genome to be rich in novelty, genes acquired by horizontal transfer and, especially, multigene families. The latter include nearly half of the amoeba’s protein coding capacity, and many of these families show differential expression among life cycle stages. Development in A. kona appears to be molecularly simple, requiring substantial upregulation of only 449 genes compared to 2762 in the only other AGM model, Dictyostelium discoideum. However, unlike the dictyostelid, developing A. kona also does not appear to be starving, being instead very metabolically active and inducing neither autophagy nor increasing ubiquitin-tagged proteolysis. Thus, contrary to current expectations, starvation does not appear to be essential for AGM development. Moreover, despite the ~ 2 billion years of evolution separating the two amoebae, their development appears to employ remarkably similar pathways for signaling, motility and construction of an extracellular matrix surrounding the developing cell mass. In addition, much of this similarity is shared with the clonal multicellularity of animals. This makes the acrasid something of a “bare bones” developmental model and suggests that much of the basic tool kit for multicellular development arose very early in eukaryotic evolution.
Investigation of structural and microbial properties of samarium-doped nickel-strontium ferrite nanoparticles prepared via the sol-gel route
Authors: Bhore Rajkanya M. , Tigote Radhakrishnan M. , Kazi Subiya K. , Chavan Sanjay R. , Khobragade Rahul M. , Tiwari Girdharilal B. 
Published: March 2023

Abstract

Nickel and Samarium-doped strontium ferrite nanoparticles were synthesised using the sol-gel auto-combustion method. The micro-structural characteristics of the ferrite were investigated using X-ray diffraction (XRD) and field emission scanning electron microscopy (FE-SEM). The particle size was determined to be between 30 and 60 nm. The vibrating sample magnetometer (VSM) revealed a strong magnetization with paramagnetic behaviour, and the existence of all elements was verified by energy dispersive X-ray spectroscopy (EDS). According to the BET adsorption isotherm, total surface area ranges from 13.77 m2g-1 to 28.49 m2g-1. At P/Po (0.99), the total pore volume ranges from 0.02 cm3g-1 to 0.04 cm3g-1. The average pore width ranged from 3.5 nm to 6.5 nm, and the isotherm demonstrates type III with an H3 hysteresis loop. The material shows 84% thermal stability and these synthesized nanoparticles are showing activity against both Gram Positive and Gram-Negative bacterial pathogens.
Identifying the impact of Chlamydia trachomatis screening and treatment on mother-to child transmission and respiratory neonatal outcomes in Mexico
Authors: Arteaga-Troncoso Gabriel , López-Hurtado Marcela , Yescas-Buendía Gabino , Haro-Cruz María J. , Villagrana-Zesati J Roberto , Guerra-Infante Fernando M. 
Published: March 2023

Abstract

Unfavorable pregnancy outcomes caused by Chlamydia trachomatis (C. trachomatis), such as premature rupture of membranes, preterm birth, and low birth weight, are well known. Mother-to-child transmission can occur at the time of birth and may result in conjunctivitis and pneumonia in the newborn. We therefore evaluated to question whether just one maternal screening for Chlamydia is enough to prevent adverse pregnancy and negative neonatal outcomes. Among the 4,087 first-time gynecological-obstetric consultations granted at the National Institute of Perinatology in 2018, we selected the study population according to a case-cohort design. Antenatal Chlamydia screening and treatment interventions were performed on 628 pregnant women using COBAS® TaqMan CT. Chlamydia DNA was also detected in samples from 157 infants of these mothers. We find that C. trachomatis positivity was detected in 10.5%. The vertical transmission rates were 1.5% for thecohort of mothers with a Chlamydia-positive test and 29.7% for those with a negative test. By evaluating symptomatic neonatal infection, the hazard rate of perinatal pneumonia was 3.6 times higher in Chlamydia-positive babies than in Chlamydia-negative babies. Despite the low rate of mother-to-child transmission in women positive for Chlamydia trachomatisdetected with a nucleic acid amplification test and who received timely treatment, possible maternal reinfectionthat is not detected during pregnancy significantly increases the risk of neonatal infection with consequent perinatal pneumonia.
Mechanistic insight into sex differences in lung cancer induced by cRaf
Authors: Zhong Shen , Borlak Jürgen 
Published: March 2023

Abstract
Women are at greater risk of developing lung cancer (LC); yet the underlying causes are unknown. To gain insight into sex difference in LC, we investigated tumor growth in a cRaf transgenic disease model. Overexpression of the cRaf kinase induced an extraordinary 8-fold increase in tumor growth among females, and nearly 70% of the 112 differentially expressed genes (DEGs) were female specific. We identified oncogenes, oncomirs, tumor suppressors, cell cycle regulators and MAPK/EGFR signaling molecules, which prompted sex-based differences in LC, and we report a regulatory gene-network, which protected males from accelerated tumor growth. Strikingly, 41% of DEGs are targets of hormone receptors, and the majority (85%) are estrogen receptor (ER) dependent. We confirmed the role of ER in a large cohort of LC patients and validated 40% of DEGs induced by cRaf in clinical tumor samples. Together, we report a molecular circuitry that prompted gender disparities in tumor growth, and propose the development of molecular targeted therapies by jointly blocking ER, CDK1 and arginase 2 activity in LC.
Impacts of resection level and baseline deformity features on upper lumbar pedicle subtraction osteotomy closure ratio in ankylosing spondylitis-related thoracolumbar kyphosis
Authors: Chen Xu , Qian Bang-ping , Qiu Yong , Yu Yang , Wang Bin 
Published: March 2023

Abstract
Background: Pedicle subtraction osteotomy (PSO) is an unique technique widely applied in the correction of thoracolumbar kyphosis arise from ankylosing spondylitis (AS). During the osteotomy closure procedure, both the upper part of the osteotomized vertebra and the lower part of that contributed to the spinal realignment jointly. However, the relative proportion of truncal and pelvic sagittal correction which occurs with the closure of PSO has not been detailed described in AS. This study aims to investigate whether the upper lumbar osteotomy level and baseline deformity characteristics impact the distribution of global correction.
Methods: 73 AS patients who underwent single-level lumbar PSO were reviewed. Radiographic parameters included sagittal vertical axis (SVA), spino-sacral angle (SSA), global kyphosis (GK), spinal tilt (ST) and T1 pelvic angle (TPA), thoracic kyphosis (TK), lumbar lordosis (LL), pedicle subtraction angle (PSA), osteotomized vertebra angle (OVA), pelvic incidence (PI), pelvic tilt (PT), and sacral slope (SS). The truncal and pelvic closures were calculated by the change of superior or inferior endplate angle of the osteotomized vertebra. Besides, in accordance with Diebo’s project, all patients were divided into three groups based on the ratio of osteotomy closure (ROC). The impact of preoperative radiographic parameters and upper lumbar PSO level on the truncal versus pelvic closures were also investigated.
Results: No significant difference between ROC and osteotomy level was observed (P=0.155>0.05). Furthermore, there were significant differences in SVA (P<0.001), PI (P<0.001), PT (P<0.001) and ST (P<0.001) among three groups. Preoperative SVA (r=0.581, P<0.001) was positively correlated with ROC while the PI (r=-0.510, P<0.001), PT (r=-0.547, P<0.001) and ST (r=-0.517, P<0.001) were negatively correlated with ROC. Significant improvement of all the spinopelvic parameters except TK and PI were noted postoperatively. The correction of SVA (r=0.692, P<0.001) and ST (r=0.629, P<0.001) was positively correlated with ROC, whereas the variation of PT (r=-0.570, P<0.001) and SS (r=-0.461, P<0.001) was negatively correlated with ROC.
Conclusion: The osteotomy level is not the driver in the ratio of osteotomy closure but the baseline deformity features. Specifically, AS patients with preoperative larger PT realized a proportionally greater pelvic closure (improvement of pelvic retroversion) and less correction of SVA. Additionally, it’s important to get more pelvic closure as much as possible when closing the osteotomy gap for AS patients with higher PI.
Fully Data-driven non-ergodic ground-motion prediction models for low to moderate seismicity areas: using RESIF-RAP, ESM, RESORCE and NGA-West 2 data.
Authors: TANI Fayçal CHAIBEDDRA , Derras Boumediene 
Published: March 2023

Abstract
The aim of this work is to develop a fully non-ergodic ground motion prediction model (FNE-GMPM) that provides functional forms (ffs) for each of the world's 13 regions. The ffs are derived from machine learning of a given dataset drawn from four databases: namely RESIF-RAP, ESM, RESORCE and NGA-West2. The machine learning is performed by the neural network approach whose explanatory parameters are the moment magnitude (MW), Joyner-Boore distance RJB, average shear wave velocity in the first 30 m VS30, nature of VS30: (measured or estimated) and the focal Depth. The model thus established estimates the ground motion intensity measures (GMIMs). These GMIMs are represented by the peak ground acceleration and the peak ground velocity PGA and PGV respectively, as well as 5 as well as the 13-period acceleration pseudo-spectra from 0.04 to 4.00 s (PSA) for a damping of 5%. The 13 regions subject of this study are distinguished by their epistemic uncertainties. The aleatory variability is considered as heteroscedastic depending on the MW and the RJB. The consideration of the non-ergodicity of the heteroscedasticity and using the machine learning approach leads to a significant reduction of the aleatory variability. This work makes it possible to have strong motions for regions with low and moderate seismicity, such as metropolitan France.
A Comparative Study in Elective Repair of Large Incisional Hernia using On-lay Mesh Versus Sub-lay Mesh A Meta-Analysis
Authors: Hassan Basma Hussein Abdelaziz , Kamel Kirollos Adel Louiz , Awad Philobater Bahgat Adly , shayeb Bassem Helmy El , Fawzi Fawzi Salah , Maaty Sameh Abdallah 
Published: March 2023

Abstract
Background: Ventral abdominal wall incisional hernia is defined as a defect in the musculo-fascial layers of the abdominal wall in the region of postoperative scar. There is a slight increase in the incidence of incisional hernia in the female gender. The higher percentage of incisional hernia in females might be due to laxity of abdominal wall muscles after multiple pregnancies and also increased incidence of obesity in females.
Objective: To assess incisional hernia repair using two different techniques: on-lay mesh and sub-lay mesh, as regards operative time, postoperative recurrence, wound infection, seroma, hematoma and flap necrosis.
Patients and Methods: The Pubmed, web of science and Scopus were searched on 15 March, 2022. The keywords incisional hernia, sub-lay mesh on-lay mesh, retromuscular mesh, polypropylene.
Results and Conclusion: According to our results, there is a statistical difference between onlay and sublay regarding intra-operative time as sublay mesh is more time consuming. Regarding post-operative complications there is no statistical difference in recurrence, seroma, hematoma, flap necrosis and infection but there is a statistical difference regarding in hospital stay as patients with sublay repair stays less than onlay.
Switching of Interfaces and Self-optimization of weights using Backpropagation ANN in WHN Enviornment
Authors: Rani Monika 
Published: March 2023

Abstract
In today’s scenario, mobile communication is facing a healthy competition due to different networks, interfaces, channels, and many more available in wireless heterogeneous environment. The problem arises when customers/users get the availability of many interfaces at the same time. At that time users need an intelligent or smart mechanism to connect them to the best services according to their requirements/preferences. Interface management manages available interfaces and connects the user with the best. In this paper, Interface management with Artificial Neural Network (ANN) allows the smart use of different radio accesses/interfaces. The selection is made with different parameters of different networks. This paper proposed a backpropagation neural network that is used for the switching in between different networks-3G, WLAN, 4G and 5G. The different parameters of a network are used as the selection parameters with assigning proper weights. Weights are initialized with fuzzy AHP and optimized with Back Propagation Neural Network (BPNN). The target value and the actual value is compared and their difference used as the adjusting value for the weights to get the optimum value. The backpropagation is used to train the network. The comparison among the projected algorithm and the existing algorithm shows the valuablity of the new method and the best connectivity of the network.
Therapeutic Target Identification in Pancreatic Ductal Adenocarcinoma: A Comprehensive In-Silico Study employing WGCNA and Trader
Authors: Yavari Parvin , Masoudi-Sobhanzadeh Yosef , Roointan Amir 
Published: March 2023

AbstractPancreatic ductal adenocarcinoma (PDAC) is recognized as a highly aggressive fatal disease accounting for more than 90% of all pancreatic malignancies. Considering the limited effective treatment options and its low survival rate, studying PDAC's underlying mechanisms is of utmost importance. The present study focused on investigating PDAC expression data using WGCNA and Trader algorithms to shed light on the underlying mechanisms and identify the most reliable therapeutic candidates in PDAC. After analyzing a recently generated PDAC dataset (GSE132956), the obtained differentially expressed genes (DEGs) were subjected to different exploration steps. WGCNA was applied to cluster the co-expressed DEGs and found the disease's most correlated module and genes. The trader algorithm was utilized to analyze the constructed network of DEGs in STRING and identified the top 30 DEGs whose removal causes a maximum number of separate sub-networks. Hub genes were selected considering the lists of top identified nodes by the two algorithms. "Signaling by Rho GTPases," "Signaling by receptor tyrosine kinases," and "immune system" were top enriched gene ontology terms for the DEGs in the PDAC most correlated module and nine hub genes, including FYN, MAPK3, CDK2, SNRPG, GNAQ, PAK1, LPCAT4, MAP1LC3B, and FBN1 were identified by considering the top spotted DEGs by two algorithms. The findings provided evidence about the involvement of some pathways in the pathogenesis of PDAC and suggested several hub genes as therapeutic candidates via a comprehensive approach analyzing both the co-expression and PPI networks of DEGs in this cancer.