bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient Targeted Transgenesis of Large Donor DNA Into Multiple Mouse Genetic Backgrounds Using Bacteriophage Bxb1 Integrase
Authors: Low Benjamin E. , Hosur Vishnu , Lesbirel Simon , Wiles Michael V. 
Published: November 2021

Abstract
The development of mouse models of human disease and synthetic biology research by targeted transgenesis of large DNA constructs represent a significant genetic engineering hurdle. We developed an efficient, precise, single-copy integration of large transgenes directly into zygotes using multiple mouse genetic backgrounds. We used in vivo Bxb1 mediated recombinase-mediated cassette exchange (RMCE) with a transgene “landing pad” composed of dual heterologous Bxb1 attachment (att) sites in cis, within the Gt(ROSA)26Sor safe harbor locus. RMCE of donor was achieved by microinjection of vector DNA carrying cognate attachment sites flanking the donor transgene with Bxb1-integrase mRNA. This approach achieves perfect vector-free integration of donor constructs at efficiencies >40% with up to ~43kb transgenes. Coupled with a nanopore-based Cas9-targeted sequencing (nCATS), complete verification of precise insertion sequence was achieved. As a proof-of-concept we describe the development of C57BL/6J and NSG Krt18-ACE2 models for SARS-CoV2 research with verified heterozygous N1 animals within ~4 months. Additionally, we created a series of mice with diverse backgrounds carrying a single att site including FVB/NJ, PWK/PhJ, NOD/ShiLtJ, CAST/EiJ and DBA/2J allowing for rapid transgene insertion. Combined, this system enables predictable, rapid development combined with simplified characterization of precisely targeted transgenic animals across multiple genetic backgrounds.
Left Atrial Volume Index Predicts Future Improvement of B-Type Natriuretic Peptide Levels After Transcatheter Aortic Valve Replacement
Authors: Ito Asahiro , Izumiya Yasuhiro , Iwata Shinichi , Ogawa Mana , Kim Andrew T , Yahiro Ryosuke , Kure Yusuke , Yamaguchi Tomohiro , Okai Tsukasa , Takahashi Yosuke , Shibata Toshihiko , Yoshiyama Minoru 
Published: November 2021

Abstract
Background: In patients with symptomatic severe aortic stenosis (AS), those who experienced readmission due to heart failure after transcatheter aortic valve replacement (TAVR) showed poor prognosis. Furthermore, poor BNP improvement is associated with increased morbidity and mortality. However, little is known about the clinical parameters related to the change in BNP levels after TAVR procedure.Methods and Results: This study population consisted of 127 consecutive patients of symptomatic severe AS with preserved ejection fraction (EF) who underwent TF-TAVR. The median BNP level was significantly decreased from 252.5 pg/ml to 146.8 pg/ml in all 127 patients 1 year after TF-TAVR (P<0.01). However, the patients could be divided into 2 groups according to decrease (72%) or increase (28%) in plasma BNP level. Multivariate logistic regression analysis revealed that AV peak velocity, pre-procedural BNP, and larger left atrial volume index (LAVI) were found to be an independent predictor of increased BNP level 1 year after TAVR (OR 0.55, 95% CI 0.38-0.77; p<0.01). LAVI were negatively correlated with the change in BNP level before and 1 year after TAVR (r=0.47, P<0.01). The ROC analysis demonstrated that 52.9ml/m2 was the optimal cut-off value of LAVI for decreasing BNP 1 year after TAVR (area under the curve 0.69) with 64% sensitivity and 70% specificity.Conclusions: In addition to AV peak velocity and pre-procedural BNP, LAVI independently predicts future improvement of BNP levels 1 year after TAVR. Our findings indicate an additive predictive value of assessment of LAVI before TAVR procedure for risk stratification.
Metagenomic Sequencing Characterizes a Wide Diversity of Viruses in Field Mosquito Samples in Nigeria
Authors: Oguzie Judith Uche , Nwangwu Udoka , Oluniyi Paul , Olumade Testimony , George Uwem , Kazeem Akano , Bankole Bolajoko , Brimmo Farida , Asadu Chukwuemeka , Chukwuekezie Okechukwu , Ochu Josephine , Makwe Catherine , Dogunro Festus , Onwude Cosmas , Nwachukwu William , Ezihe Ebuka , Okonkwo Gilkenny , Umazi Ndubuisi , Maikere Jacob , Agashi Nneka , Eloy Emelda , Anokwu Stephen , Okoronkwo Angela , Nwosu Ebuka , Etiki Sandra , Ngwu Ifeoma , Ihekweazu Chikwe , Folarin Onikepe , Komolafe Isaac , Happi Christian 
Published: November 2021

Abstract
Mosquito vectors are a tremendous public health threat as one in six diseases worldwide is vector-borne transmitted mainly by mosquitoes. In the last couple of years, there have been active Yellow fever virus (YFV) outbreaks in many settings in Nigeria, and nationwide, entomological surveillance has been a significant effort geared towards understanding these outbreaks. In this study, we used a metagenomic sequencing approach to characterize viruses present in vector samples collected during various outbreaks of Yellow fever (YF) in Nigeria between 2017 and 2020. Mosquito samples were grouped into pools of one to fifty mosquitoes, each based on species, sex and location. Twenty-five pools of Aedes spp and one pool of Anopheles spp collected from nine states were sequenced and metagenomic analysis was carried out. We identified a wide diversity of viruses belonging to various families in this sample set. Seven different viruses detected included: Fako virus, Phasi Charoen-like virus, Verdadero virus, Chaq like-virus, Aedes aegypti totivirus, cell fusing agent virus and Tesano Aedes virus. Although there are no reports of these viruses being pathogenic, they are an understudied group in the same families and closely related to known pathogenic arboviruses. Our work shows the revolutionary power of genomics to help detect the presence of viruses in mosquito vectors and unravel their pathogenic potential. This can help develop diagnostics and vaccines to help prevent the diseases caused by these viruses before they cause outbreaks in human populations.
SPAHM: the Spectrum of Approximated Hamiltonian Matrices representations
Authors: Corminboeuf Clémence , Fabrizio Alberto , Briling Ksenia 
Published: November 2021

Abstract
Physics-based molecular representations are the cornerstone of all modern
machine learning techniques applied to solve chemical problems. While several
approaches exist to design ever more accurate fingerprints, the majority resolves in including more physics to construct larger and more complex representations. Here, we present an alternative approach to harness the complexity of chemical information into a lightweight numerical form, naturally invariant under real-space transformations, and seamlessly including the information about the charge state of a molecule. The Spectrum of Approximated Hamiltonian Matrices (SPAHM) leverages the information contained in widely-used and readily-evaluated ``guess'' Hamiltonians to form a robust fingerprint for quantum machine learning. Relying on the origin of the SPAHM fingerprints and a hierarchy
of approximate Hamiltonians, we analyze the relative merits of adding physics into molecular representations and find that alternative strategies, focusing
more on the machine learning task, represent a clear route towards direct improvements.
Geometric Property of Off Resonance Error Robust Composite Pulse
Authors: Kukita Shingo , Kiya Haruki , Kondo Yasushi 
Published: November 2021

Abstract
The precision of quantum operations is affected by unavoidable systematic errors. A composite pulse (CP), which has been well investigated in nuclear magnetic resonance (NMR), is a technique that suppresses the influence of systematic errors by replacing a single operation with a sequence of operations. In NMR, there are two typical systematic errors, Pulse Length Error (PLE) and Off Resonance Error (ORE). Recently, it was found that PLE robust CPs have a clear geometric property. In this study, we show that ORE robust CPs also have a simple geometric property, which is associated with trajectories on the Bloch sphere of the corresponding operations. We discuss the geometric property of ORE robust CPs using two examples.
Continuous cropping of cut chrysanthemum reduces rhizospheric soil microbial populations, diversity and network complexity
Authors: Li Jun , Cheng Xiaoyu , Chen Wei , Zhang Hanjie , Chen Tianlang , Chu Guixin , Tao Rui 
Published: November 2021

Abstract
Continuous cropping of cut chrysanthemum causes soil degradation and chrysanthemum quality decline, but the biotic and abiotic mechanisms behind it remain unclear. This impedes our ability to assess the true effects of continuous cropping on agricultural soil functions and our ability to repair impaired soils. Here we examined the impact of different replanting years on microbial communities and enzyme activities in rhizosphere soil of cut chrysanthemum (Chrysanthemum morifolium). Our results showed that soil total nitrogen (TN) and organic carbon (SOC) contents were significantly lower in the soil with 12 years of continuous cropping (Y12) than that in the soil with 1 year of cropping (Y1). Compared with Y1, Y12 treatment decreased alkaline phosphatase and β -glucosidase by 12.1 and 24.4%, but increased the activities of soil urease and catalase by 98.2 and 34.8%, respectively. Soil bacterial populations in Y6 (continuous cropping for 6 years) and Y12 treatments decreased by 52.3 and 87.5% compared with that in Y1 treatment. Moreover, the bacterial α-diversity (Shannon index) significantly decreased by 37.3 and 57.6% over 6 and 12 years of continuous cropping, respectively. Long-term monoculture cropping shifted the bacterial community composition, with decreased abundances of dominant phyla such as Proteobacteria and Acidobacteria, but with an increase in the relative abundances of Actinobacteria and Chloroflexi, and Gemmatimonadetes. Moreover, Y6 and Y12 treatments harbored less microbial network complexity, lower bacterial taxa, and fewer linkages among bacterial taxa, relative to Y1. Soil pH, SOC, and TN were the main edaphic factors affecting soil bacterial community compositions and diversity. Overall, our results demonstrate that continuous cropping has a significant negative impact on soil microbial diversity and complexity.
Forming Limit Diagrams of Perforated St12 Steel Sheets
Authors: Sehhat M. Hossein , Mahdianikhotbesara Ali , Hadad Mohammadjafar 
Published: November 2021

Abstract
One of the unique characteristics of sheet metals is their formability, which is determined by the forming limit diagrams. These diagrams specify the maximum deformation limit before part’s failure. For several applications of metal sheets, they have to be in the perforated format. Existence of holes in the perforated sheets may adversely deteriorate the forming limit of metal sheets. In this study, the effect of perforated sheets’ hole size and hole layout on their formability are investigated. Several specimens of St12 steel with 0.6 mm thickness, different widths, two various hole sizes of 2 and 4 mm, and two layouts of triangular and square were prepared. The specimens were tested using Nakajima test (stretch with a hemispherical punch) to generate the forming limit diagrams. It was observed that both the diameter and layout of the punched holes have a significant effect on the formability of the perforated sheets. The perforated sheets with triangular hole layout showed higher forming limits due to their larger ligament ratios.
Mobility Aware Displacement Approximation Technique Based LSS and Privacy Preservation for Effective Data Routing in WSN with IoT Devices
Authors: Rajasekar S S , Palanisamy C. , Saranya K. 
Published: November 2021

Abstract
The Location based Service Selection (LSS) in WSN has been well studied. Towards effective LSS, an efficient Mobility Aware Displacement Approximation (MADA-LSS) based approach is presented in this article. The model monitors the mobility of mobile device and predict the possible location at different future time stamp. According to the future time stamp, the list of service locations are identified at different possible locations. According to the possible locations and service set, the method discover set of routes to reach each of the service points. For each of the route, the method estimates Data Arrival Rate (DAR), Data Claim Rate (DCR) and Data Rate Support Measure (DRSM) for both Access Point as well as route identified. Also, the method ranks the service points according to DRSM value and estimates the Trusted Handover Measure (THM) for the routes according to IoT (Internet of Things) devices of any route. By considering both THM and DSRM values an optimal service point as well as route has been selected to perform data transmission. Also, the privacy preservation is performed by using the same set of displacement approximation scheme which selects optimal encryption based on mobility parameters and time complexity and security of different encryption schemes. The proposed method improves the performance of LSS and secure routing.
A time-saving automobile assembly state monitoring system based on channel-pruned YOLOv4 algorithm
Authors: Daqi Jiang , Wang Hong 
Published: November 2021

Abstract
A time-saving automobile assembly state monitoring system in industrial environment is presented in this paper. The system only needs to input a video which contains the whole detected parts and manually label in the first frame. By finding the best point for tracking and tracking the point, the dataset can be automatically generated which saves time spent on manufacturing the dataset and makes the assembly state monitoring system easy to deploy into a practical industrial environment. The target detection algorithm uses the channel-pruned YOLOv4 neural network. The experimental result shows the algorithm balances speed and accuracy. Compared to original YOLOv4, our proposed method is two times faster and the mAP is nearly equal to it. It shows that the channel pruning process dynamically improves the speed of the forward propagation without sacrifice accuracy.
Investigation of Geometric Deformations of The Lumbar Disc During Axial Body Rotations
Authors: Xu Haoxiang , Wen Wangqiang , Zhang Zepei , Bai Jianqiang , Kou Bowen , Miao Jun 
Published: November 2021

Abstract
BackgroundQuantitative data on in vivo vertebral disc deformations are critical for enhancing our understanding of spinal pathology and improving the design of surgical materials. This study investigated in vivo lumbar intervertebral disc deformations during axial rotations under different load-bearing conditions.MethodsTwelve healthy subjects (7 males and 5 females) between the ages of 25 and 39 were recruited. Using a combination of a dual fluoroscopic imaging system (DFIS) and CT, the images of L3-5 segments scanned by CT were transformed into three-dimensional models, which matched the instantaneous images of the lumbar spine taken by a double fluorescent X-ray system during axial rotations to reproduce motions. Then, the kinematic data of the compression and shear deformations of the lumbar disc and the coupled bending of the vertebral body were obtained.ResultsRelative to the supine position, the average compression deformation caused by rotation is between +10% and -40%, and the shear deformation is between 17% and 50%. Under physiological weightbearing loads, different levels of lumbar discs exhibit similar deformation patterns, and the deformation patterns of left and right rotations are approximately symmetrical. The deformation patterns change significantly under a 10 kg load, with the exception of the L3-4 disc during the right rotation.ConclusionThe deformation of the lumbar disc was direction-specific and level-specific during axial rotations and was affected by extra weight. These data can provide new insights into the biomechanics of the lumbar spine and optimize the parameters of artificial lumbar spine devices.
Mps1 contributes to tamoxifen resistance in Breast Cancer through phosphorylation of ERα
Authors: Zhang Xuemiao , Gao Qi , Zong Yulong , Ma Xueping , Duan Cuijuan , liu Jialong , Huang Linfei , Feng Jiangyue , Wan Luming , Yang Xiaopan , Zhang Yanhong , Li Jingfei , Liu Muyi , Liu Jing , Zhong Hui , Tai Yanhong , Wei Congwen , Yang Xiaoli 
Published: November 2021

Abstract
Overexpression of mitotic kinase monopolar spindle 1 (Mps1) has been identified in many tumor types and targeting Mps1 for tumor therapy has been shown great promise in multiple preclinical cancer models. However, the role of Mps1 in tamoxifen resistance in breast cancer has never been reported. Here in this study, we report that Mps1 determined the sensitivity of breast cancer cells to tamoxifen treatment. Mps1 overexpression rendered breast cancer cells more resistant to tamoxifen, while Mps1 inhibitor or siMps1 oligos could overcome tamoxifen resistance. Mechanistically, Mps1 interacted with ERα and stimulated its transcriptional activity in kinase activity-dependent manner. Mps1 was responsible for ERα phosphorylation at S559 and T224 sites. Importantly, Mps1 failed to enhance the transcriptional activity of ERα in the presence of ERα S559A or T224A mutant. Collectively, our findings suggest that Mps1 contributes to tamoxifen resistance in breast cancer and is a potential therapeutic to overcome tamoxifen resistance in breast cancer.
Iron Hydride in the Earth's Inner Core
Authors: Yang Hua , Muir Joshua M.R. , Zhang Feiwu 
Published: November 2021

Abstract
Hydrogen is potentially a key light element in the Earth’s core. Determining the stability of iron hydride is essential for Earth's core mineralogy applications. We investigated the thermal stabilities and seismic properties of a range of Fe-H binary at core P-T conditions. It is concluded that H induces a phase change in the Fe lattice, converting it from hcp to fcc. With 1 wt.% H incorporation, the density of Fe decreases by 7.6%, both the compressional and shear wave velocities increase by 2.3% and 1.5%, respectively. The maximum H concentration is estimated to be ~0.57 wt.% to explain the density deficit of the inner core, which corresponds to 3 times as much as seawater, indicating that a large amount of water has been brought to the Earth's interior during its formation and a relatively low inner core temperature thus induced. H alongside other light elements are required to account for the geophysical observations of the Earth's inner core.
Time series assessment of biocompatibility of decellularized bovine tendon in rat anterior cruciate ligament reconstruction model up to 52 weeks
Authors: Itoh Masafumi , Imasu Hiroki , Takano Kazuya , Umezu Mitsuo , Okazaki Ken , Iwasaki Kiyotaka 
Published: November 2021

Abstract
There is an essential demand for the development of biocompatible graft substitute for knee anterior cruciate ligament reconstruction (ACLR). We aimed to investigate biocompatibility of decellularized bovine-derived tendon using rat knee ACLR model. The Sprague–Dawley rats with 12 weeks old were used. At weeks 1, 2, 4, 8, 16, 26, and 52 (each period, n = 6) after ACLR, rats using decellularized bovine tendon (group D, n = 42) and rats using autologous flexor digitorum longus tendon as a graft (group A, n = 42) were assessed for bone mineral density (BMD) of the peritibial bone tunnel, histology, and immunohistology. BMD increased over time in both groups until week 16 and then maintained without significant group differences. Initially, cellularity in group D was lower than in group A, but by weeks 4–8, both groups were comparable to native anterior cruciate ligament and were maintained until week 52. Initially, group A had more M1 macrophages, which represent inflammation, while group D had more M2 macrophages, which represent tissue regeneration. However, at most periods, the counts of M1 and M2 macrophages were comparable in both groups. This study revealed excellent biocompatibility of the decellularized tendon in the cross-species model.
Novel Global Interconnect structure with improved Elmore Delay Estimation for Low-Power Applications
Authors: Bhardwaj Himani , Jain Shruti , Sohal Harsh 
Published: November 2021

Abstract
With advancements in technology, size and speed have been the important facet in VLSI interconnects. Interconnects are known as the basic building block that provide a connection between two or more blocks and have scaling problems that an IC designer faces while designing. As scaling increases, the impact of interconnect in the VLSI circuits became even more important. It controls all the important electrical characteristics on the chip. With scale-down technology, interconnects not only become closer with each other but their dimensions also change which can directly impact the circuit parameters. Certain RC structures have already been defined to control these parameters but in this paper, authors have proposed a new interconnect structure with improved Elmore delay estimation to reduce delay and power consumption in lumped and distributed interconnect circuits using Pulse and Ramp inputs. Further, the proposed model is estimated and verified theoretically. The linear relationship of power consumption and delay for the RC structure has been observed. The proposed structure with improved Elmore delay estimation shows improvement in delay by 64.25% in lumped circuits and 68.75% in distributed circuits in comparison to existing Elmore delay calculations which help in increasing the overall speed of the interconnect circuit.
Numerical Modeling of Changes In Groundwater Storage And Nitrate Load in The Unconfined Aquifer Near a River Receiving Reclaimed Water
Authors: Jiang Ruixue , Han Dongmei , Song Xianfang , Zheng Fandong 
Published: November 2021

Abstract
Reclaimed water (RW) has been widely used as an alternative water resource to recharge rivers in mega-city Beijing. At the same time, the RW also recharges the ambient aquifers through riverbank filtration, and modifies the subsurface hydrodynamic system and hydrochemical characteristics. To assess the impact of RW recharge on the unconfined groundwater system, we conducted a 3D groundwater flow and solute transport model based on 10 years of sequenced groundwater monitoring data to analyze the changes of the groundwater table, Cl- loads, and NO3-N loads in the shallow aquifer after RW recharge to the river channel. The results show that the groundwater table around the river channel elevated by about 3~4 m quickly after RW recharge from Dec. 2007 to Dec. 2009, and then remained stable due to the continuous RW infiltration. However, the unconfined groundwater storage still declined overall from 2007 to 2014 due to groundwater exploitation. The storage began to recover after groundwater extraction reduction, rising from 3.76×108 m3 at the end of 2014 to 3.85×108 m3 at the end of 2017. Cl- concentrations varied from 5~75 mg/L before RW recharge to 50~130 mg/L in two years (2007–2009), and then remained stable. The zones of the unconfined groundwater quality-affected by RW infiltration increased from 11.7 km2 in 2008 to 26.7 km2 in 2017. Cl- loads of the unconfined groundwater increased from 1.66×104 t in 2008 to 3.8×103 t in 2017, while NO3-N loads decreased from 29.8 t in 2008 to 11.9 t in 2017 annually in the zones. We determined the maximum area of the unconfined groundwater quality affected by RW, and groundwater outside this area not affected by RW recharge keeps its original state. The RW recharge to the river channel in the study area is beneficial to increase the groundwater table and unconfined groundwater storage with lesser environmental impacts.