bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk factors and prediction model for inadvertent intraoperative hypothermia in patients undergoing robotic surgery: a retrospective analysis
Authors: Hu Zhouting , Li Wangyu , Liang Chen , Li Kai 
Published: March 2023

AbstractThis study explored the risk factors and established a prediction model for intraoperative hypothermia (IOH) in patients undergoing robotic surgery. We conducted a retrospective survey of patients undergoing elective robotic surgery at the China-Japan Union Hospital of Jilin University during June 2020–October 2021 using institutional medical records. Intraoperative core temperatures and potential influencing factors were collected, and regression analyses were used to assess the risk factors for IOH and establish a prediction model for the incidence of IOH. Overall, 833 patients who underwent robotic surgery were included in the final analysis; IOH was observed in 344 patients (incidence, 0.41; 95% confidence interval [CI] 0.38–0.45). A higher body mass index (BMI) and baseline core temperature were protective factors for IOH. A final prediction model for IOH was developed based on the determining factors with an area under the receiver operating characteristic curve of 0.85 under fivefold cross validation (95% CI 0.83–0.88). Accordingly, a lower BMI and baseline core temperature, thoracic surgeries, morning surgeries, and surgeries with longer durations were risk factors for IOH during robotic surgeries. Our prediction model has an excellent discrimination ability for predicting IOH in robotic surgeries.
Long-term outcomes and quantitative radiologic analysis of extracranial–intracranial bypass for hemodynamically compromised chronic large artery occlusive disease
Authors: Jo Hyunjun , Lee Si Un , Jeong Han-Gil , Kim Young-Deok , Kim Tackeun , Sunwoo Leonard , Ban Seung Pil , Bang Jae Seung , Kwon Oki , Oh Chang Wan 
Published: March 2023

AbstractThis study aimed to demonstrate the effectiveness of nonemergent extracranial-to-intracranial bypass (EIB) in symptomatic chronic large artery atherosclerotic stenosis or occlusive disease (LAA) through quantitative analysis of computed tomography perfusion (CTP) parameters using RAPID software. We retrospectively analyzed 86 patients who underwent nonemergent EIB due to symptomatic chronic LAA. CTP data obtained preoperatively, immediately postoperatively (PostOp0), and 6 months postoperatively (PostOp6M) after EIB were quantitatively analyzed through RAPID software, and their association with intraoperative bypass flow (BF) was assessed. The clinical outcomes, including neurologic state, incidence of recurrent infarction and complications, were also analyzed. The time-to-maximum (Tmax) > 8 s, > 6 s and > 4 s volumes decreased significantly at PostOp0 and up through PostOp6M (preoperative, 5, 51, and 223 ml (median), respectively; PostOp0, 0, 20.25, and 143 ml, respectively; PostOp6M, 0, 7.5, and 148.5 ml, respectively; p < 0.001, p < 0.001, and p < 0.001, respectively). The postoperative improvement in the Tmax > 6 s and > 4 s volumes was significantly correlated with the BF at PostOp0 and PostOp6M (PostOp0, r = 0.367 (p = 0.001) and r = 0.275 (p = 0.015), respectively; PostOp6M r = 0.511 (p < 0.001) and r = 0.391 (p = 0.001), respectively). The incidence of recurrent cerebral infarction was 4.7%, and there were no major complications that produced permanent neurological impairment. Nonemergent EIB under strict operation indications can be a feasible treatment for symptomatic, hemodynamically compromised LAA patients.
Single-cell and bulk RNA sequencing identifies T cell marker genes score to predict the prognosis of pancreatic ductal adenocarcinoma
Authors: Zheng Haoran , Li Yimeng , Zhao Yujia , Jiang Aimin 
Published: March 2023

AbstractPancreatic ductal adenocarcinoma (PDAC) is one of the lethal malignancies, with limited biomarkers identified to predict its prognosis and treatment response of immune checkpoint blockade (ICB). This study aimed to explore the predictive ability of T cell marker genes score (TMGS) to predict their overall survival (OS) and treatment response to ICB by integrating single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data. Multi-omics data of PDAC were applied in this study. The uniform manifold approximation and projection (UMAP) was utilized for dimensionality reduction and cluster identification. The non-negative matrix factorization (NMF) algorithm was applied to molecular subtypes clustering. The Least Absolute Shrinkage and Selection Operator (LASSO)-Cox regression was adopted for TMGS construction. The prognosis, biological characteristics, mutation profile, and immune function status between different groups were compared. Two molecular subtypes were identified via NMF: proliferative PDAC (C1) and immune PDAC (C2). Distinct prognoses and biological characteristics were observed between them. TMGS was developed based on 10 T cell marker genes (TMGs) through LASSO-Cox regression. TMGS is an independent prognostic factor of OS in PDAC. Enrichment analysis indicated that cell cycle and cell proliferation-related pathways are significantly enriched in the high-TMGS group. Besides, high-TMGS is related to more frequent KRAS, TP53, and CDKN2A germline mutations than the low-TMGS group. Furthermore, high-TMGS is significantly associated with attenuated antitumor immunity and reduced immune cell infiltration compared to the low-TMGS group. However, high TMGS is correlated to higher tumor mutation burden (TMB), a low expression level of inhibitory immune checkpoint molecules, and a low immune dysfunction score, thus having a higher ICB response rate. On the contrary, low TMGS is related to a favorable response rate to chemotherapeutic agents and targeted therapy. By combining scRNA-seq and bulk RNA-seq data, we identified a novel biomarker, TMGS, which has remarkable performance in predicting the prognosis and guiding the treatment pattern for patients with PDAC.
Sex, age, role and geographic differences in traumatic spinal fractures caused by motor vehicle collisions: a multicentre retrospective study
Authors: Yuan Hong , Guo Qin , Zhang Zhixin , Ou Lan , Wang Hongwei , Yu Hailong , Xiang Liangbi 
Published: March 2023

AbstractTo investigate the sex, age, role and geographic differences in traumatic spinal fractures (TSFs) caused by motor vehicle collisions (MVCs) in adults (≥ 18 years old). This was a multicentre retrospective observational study. In total, 798 patients with TSFs caused by MVCs admitted to our hospitals from January 2013 to December 2019 were enrolled. The patterns were summarized with respect to different sexes (male and female), age group (18–60 and ≥ 60), role (driver, passenger and pedestrian) and geographic location (Chongqing and Shenyang). Significant differences in distribution related to district (p = 0.018), role (p < 0.01), motorcycle (p = 0.011), battery electric vehicle (p = 0.045), bicycle (p = 0.027), coma after injury (p = 0.002), pelvic fracture (p = 0.021), craniocerebral injury (p = 0.008) and fracture location (p < 0.01) were observed between the male and female groups. Significant differences in distribution related to district (p < 0.01), role (p < 0.01), car (p = 0.013), coma after injury (p = 0.003), lower limb fracture (p = 0.016), fracture location (p = 0.001) and spinal cord injury (p < 0.01) were observed between the young adult and elderly groups. Significant differences in distribution related to sex ratio (p  <  0.01), age (p  <  0.01), district (p  <  0.01), most vehicles involved (P  <  0.01), lower limb fracture (p  <  0.01), pelvic fracture (p < 0.01), fracture location (p < 0.01), complications (p < 0.01), and spinal cord injury (p < 0.01) were observed between the three different groups of pedestrian, passenger, and driver. Significant differences in distribution related to sex ratio (p = 0.018), age (p < 0.01), role (p < 0.01), most vehicles involved (p < 0.01), coma after injury (p = 0.030), LLF (P = 0.002), pelvic fracture (p < 0.01), craniocerebral injury (p = 0.011), intrathoracic injury (p < 0.01), intra-abdominal injury (p < 0.01), complications (p = 0.033) and spinal cord injury (p < 0.01) were observed between the Chongqing and Shenyang groups. This study demonstrates the age-, gender-, role- and geographic-specific clinical characteristics of TSFs resulting from MVCs and reveals a significant relationship between different ages, sexes, roles, geographic locations and associated injuries, complications and spinal cord injuries.
Universal compilation for quantum state tomography
Authors: Hai Vu Tuan , Ho Le Bin 
Published: March 2023

AbstractUniversal compilation is a training process that compiles a trainable unitary into a target unitary. It has vast potential applications from depth-circuit compressing to device benchmarking and quantum error mitigation. Here we propose a universal compilation algorithm for quantum state tomography in low-depth quantum circuits. We apply the Fubini-Study distance as a trainable cost function and employ various gradient-based optimizations. We evaluate the performance of various trainable unitary topologies and the trainability of different optimizers for getting high efficiency and reveal the crucial role of the circuit depth in robust fidelity. The results are comparable with the shadow tomography method, a similar fashion in the field. Our work expresses the adequate capability of the universal compilation algorithm to maximize the efficiency in the quantum state tomography. Further, it promises applications in quantum metrology and sensing and is applicable in the near-term quantum computers for various quantum computing tasks.
Assessing the feasibility of the Inflation Reduction Act’s EV critical mineral targets
Authors: Trost Jenna N. , Dunn Jennifer B. 
Published: March 2023

AbstractElectric vehicle batteries contain many internationally sourced critical minerals. Seeking a stable mineral supply, the US Inflation Reduction Act sets a market-value-based target for battery critical mineral content. In 2027, for an electric vehicle to be tax-credit eligible, 80% of the market value of critical minerals in its battery must be sourced domestically or from US free-trade partners. We determined that the target may be achievable for fully electric vehicles with nickel cobalt aluminium cathode batteries, but achieving the target with lithium iron phosphate and nickel cobalt manganese batteries would be challenging. We also note that a mass-based target could avoid some of the challenges posed by a market-value target, such as volatile market prices. We further conclude that the approach the Act has taken ignores the environmental effects of mining, non-critical minerals supply, support for recycling and definitions that avoid gamesmanship.
A genetic locus complements resistance to Bordetella pertussis-induced histamine sensitization
Authors: Raza Abbas , Diehl Sean A. , Krementsov Dimitry N. , Case Laure K. , Li Dawei , Kost Jason , Ball Robyn L. , Chesler Elissa J. , Philip Vivek M. , Huang Rui , Chen Yan , Ma Runlin , Tyler Anna L. , Mahoney J. Matthew , Blankenhorn Elizabeth P. , Teuscher Cory 
Published: March 2023

AbstractHistamine plays pivotal role in normal physiology and dysregulated production of histamine or signaling through histamine receptors (HRH) can promote pathology. Previously, we showed that Bordetella pertussis or pertussis toxin can induce histamine sensitization in laboratory inbred mice and is genetically controlled by Hrh1/HRH1. HRH1 allotypes differ at three amino acid residues with P263-V313-L331 and L263-M313-S331, imparting sensitization and resistance respectively. Unexpectedly, we found several wild-derived inbred strains that carry the resistant HRH1 allotype (L263-M313-S331) but exhibit histamine sensitization. This suggests the existence of a locus modifying pertussis-dependent histamine sensitization. Congenic mapping identified the location of this modifier locus on mouse chromosome 6 within a functional linkage disequilibrium domain encoding multiple loci controlling sensitization to histamine. We utilized interval-specific single-nucleotide polymorphism (SNP) based association testing across laboratory and wild-derived inbred mouse strains and functional prioritization analyses to identify candidate genes for this modifier locus. Atg7, Plxnd1, Tmcc1, Mkrn2, Il17re, Pparg, Lhfpl4, Vgll4, Rho and Syn2 are candidate genes within this modifier locus, which we named Bphse, enhancer of Bordetella pertussis induced histamine sensitization. Taken together, these results identify, using the evolutionarily significant diversity of wild-derived inbred mice, additional genetic mechanisms controlling histamine sensitization.
Achieving 100 climate neutral cities in Europe: Investigating climate city contracts in Sweden
Authors: Shabb Katherine , McCormick Kes 
Published: March 2023

AbstractThe European Commission has established a mission to achieve 100 climate neutral cities by 2030. A key element in the process is for municipalities to develop a Climate City Contract (CCC). Simultaneously, Viable Cities, a national strategic innovation program in Sweden, is also focusing on the transition to climate neutral cities where CCCs are being developed. Viable Cities is at the forefront of the process by not only creating the first CCCs at the national level but also in supporting the European Commission in developing the CCCs at the European level. This article investigates thefirstCCCs in Sweden and consequently Europe. To do so, it evaluates the content of the Swedish CCCs against a framework for best practice deep decarbonization plans, developed by Linton et al.1; and also analyses the process of developing them. This article is based on a literature review, document analysis of the Swedish CCCs from nine municipalities, and draws on five interviews with the municipalities of Lund, Umeå and Stockholm and Viable Cities. The objective of this article is to investigate the content and process of Swedish CCCs but also to generate insights for subsequent CCCs that are to be developed across Europe.
Mannuronate C-5 epimerases and their use in alginate modification
Authors: Petersen Agnes Beenfeldt , Tøndervik Anne , Gaardløs Margrethe , Ertesvåg Helga , Sletta Håvard , Aachmann Finn Lillelund 
Published: March 2023

Abstract
Alginate is a polysaccharide consisting of β-D-mannuronate (M) and α-L-guluronate (G) produced by brown algae and some bacterial species. Alginate has a wide range of industrial and pharmaceutical applications, owing mainly to its gelling and viscosifying properties. Alginates with high G content are considered more valuable since the G residues can form hydrogels with divalent cations. Alginates are modified by lyases, acetylases, and epimerases. Alginate lyases are produced by alginate-producing organisms and by organisms that use alginate as a carbon source. Acetylation protects alginate from lyases and epimerases. Following biosynthesis, alginate C-5 epimerases convert M to G residues at the polymer level. Alginate epimerases have been found in brown algae and alginate-producing bacteria, predominantly Azotobacter and Pseudomonas species. The best characterised epimerases are the extracellular family of AlgE1-7 from Azotobacter vinelandii(Av). AlgE1-7 all consist of combinations of one or two catalytic A-modules and one to seven regulatory R-modules, but even though they are sequentially and structurally similar, they create different epimerisation patterns. This makes the AlgE enzymes promising for tailoring of alginates to have the desired properties. The present review describes the current state of knowledge regarding alginate-active enzymes with focus on epimerases, characterisation of the epimerase reaction, and how alginate epimerases can be used in alginate production.
Glycoside hydrolases active on microbial exopolysaccharide α-glucans: structures and function
Authors: Miyazaki Takatsugu 
Published: March 2023

Abstract
Glucose is the most abundant monosaccharide in nature and is an important energy source for living organisms. Glucose exists primarily as oligomers or polymers and organisms break it down and consume it. Starch is an important plant-derived α-glucan in the human diet. The enzymes that degrade this α-glucan have been well studied as they are ubiquitous throughout nature. Some bacteria and fungi produce α-glucans with different glucosidic linkages compared with that of starch, and their structures are quite complex and not fully understood. Compared with enzymes that degrade the α-(1→4) and α-(1→6) linkages in starch, biochemical and structural studies of the enzymes that catabolize α-glucans from these microorganisms are limited. This review focuses on glycoside hydrolases that act on microbial exopolysaccharide α-glucans containing α-(1→6), α-(1→3), and α-(1→2) linkages. Recently acquired information regarding microbial genomes has contributed to the discovery of enzymes with new substrate specificities compared with that of previously studied enzymes. The discovery of new microbial α-glucan-hydrolyzing enzymes suggests previously unknown carbohydrate utilization pathways and reveals strategies for microorganisms to obtain energy from external sources. In addition, structural analysis of α-glucan degrading enzymes has revealed their substrate recognition mechanisms and expanded their potential use as tools for understanding complex carbohydrate structures. In this review, the author summarizes the recent progress in the structural biology of microbial α-glucan degrading enzymes, touching on previous studies of microbial α-glucan degrading enzymes.
Convective blueshift strengths for 242 evolved stars
Authors: Liebing F. , Jeffers S. V. , Zechmeister M. , Reiners A. 
Published: March 2023

Context. With the advent of extreme precision radial velocity (RV) surveys, seeking to detect planets at RV semi-amplitudes of 10 cm s−1, intrinsic stellar variability is the biggest challenge to detecting small exoplanets. To overcome the challenge we must first thoroughly understand all facets of stellar variability. Among those, convective blueshift caused by stellar granulation and its suppression through magnetic activity plays a significant role in covering planetary signals in stellar jitter.
Aims. Previously we found that for main sequence stars, convective blueshift as an observational proxy for the strength of convection near the stellar surface strongly depends on effective temperature. In this work we investigate 242 post main sequence stars, covering the subgiant, red giant, and asymptotic giant phases and empirically determine the changes in convective blueshift with advancing stellar evolution.
Methods. We used the third signature scaling approach to fit a solar model for the convective blueshift to absorption-line shift measurements from a sample of coadded HARPS spectra, ranging in temperature from 3750 K to 6150 K. We compare the results to main sequence stars of comparable temperatures but with a higher surface gravity.
Results. We show that convective blueshift becomes significantly stronger for evolved stars compared to main sequence stars of a similar temperature. The difference increases as the star becomes more evolved, reaching a 5× increase below 4300 K for the most evolved stars. The large number of stars in the sample, for the first time, allowed for us to empirically show that convective blueshift remains almost constant among the entire evolved star sample at roughly solar convection strength with a slight increase from the red giant phase onward. We discover that the convective blueshift shows a local minimum for subgiant stars, presenting a sweet spot for exoplanet searches around higher mass stars, by taking advantage of their spin-down during the subgiant transition.
Five methods for determining pattern speeds in galaxies
Authors: Pfenniger Daniel , Saha Kanak , Wu Yu-Ting 
Published: March 2023

Context.After matter distribution and kinematics, the bar or spiral pattern speeds are the next fundamental parameters determining the dynamics of a galaxy.Aims.New or refined methods for determining instantaneous scalar and vector pattern speeds from a restricted domain are developed for applications inN-body simulations or in galaxies such as the Milky Way, for which the stellar coordinates become increasingly better known.Methods.The general feature used throughout follows from the fact that the time derivative of a function of the coordinates is linearly proportional to its rotation rate and its particle velocities. Knowing these therefore allows retrieving the instantaneous pattern speed vector by linear optimization. Similarly, if an invariant function depends on the position and velocities, then its instantaneous rotation vectors in space can be retrieved. Knowing the accelerations also allows determining the pattern rotation of velocity space.Results.The first three methods are based on the assumed rotational invariance of functions at each point in space or velocity space: (1) the 6D invariant function method, measuring the pattern speed vectors in space and velocity space, (2) the differential/regional 3D Tremaine-Weinberg method, evaluated over regions with a high signal-to-noise ratio, (3) the 3D Jacobi integral method, yielding the potential pattern speed. Extensions to derive the rotation center position, speed, and acceleration are introduced in the first and third methods. The last two methods are based on the assumed invariance of average functions of the particle coordinates: (4) the 2D and 3D moment of inertia methods by using the derivative of the singular value decomposition, (5) the 2D Fourier method (3D form = 2 mode), giving the mode rotation speeds. Pattern speed accelerations are also derived in the fourth and fifth methods.Conclusions.Depending on the available data in specific problems, the different methods provide a choice of approaches.
Urban Protection and Renewal Based on Context Heritage--Renewal design of Yantai old town
Authors: Liu Qiming , Yang Liwei 
Published: March 2023

With the acceleration of urbanization and the improvement of people’s pursuit of spiritual home construction, the standards required for the protection and renewal of historical and cultural sites are rising, and not only the tourist attractions and commercial blocks in ancient historical and cultural sites need to be protected, repaired and infused with the vitality and charm of the new era. The external natural landscape belt connecting the ancient city wall and supporting leisure facilities also need to complement the scenery in the city.
The research background of this paper is Yantai City of Shandong Province tourist attractions as an example, the use of field research and literature research, to analyze the history of the city, using the method of local conditions to match planting, using the charm of ancient poetry to create scenery, to show the outside world the charm of Yantai, to show the world “ to show the world the ancient city called Suocheng, it covers half of the history of Yantai. Standing at the root of the ancient city wall to enjoy the scenery, as if to appreciate the charm of all kinds of beautiful historical city in the world” The charm of the historic old town.