bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mesozoic Tectonic Evolution in the Kurgovat‐Vanch Complex, NW Pamir
Authors: Li Yipeng , Robinson Alexander C. , Zucali Michele , Gadoev Mustafo , Oimuhammadzoda Ilhomjon , Lapen Thomas J. , Carrapa Barbara 
Published: October 2022

AbstractDifferent crustal deformation histories between Tibet and the Pamir reflect along‐strike variations in geodynamics of the Tethys orogen. To investigate the less well‐documented deformation history of the Pamir, which has been a barrier in understanding the nature of these differences, we conducted an integrated study in the Kurgovat‐Vanch region, NW Pamir. The lithologies are primarily Ediacaran‐to‐Carboniferous metasedimentary rocks intruded by Carboniferous plutons, which then experienced Late Triassic to Early Jurassic regional metamorphism. Structural mapping and analyses document a low‐angle NW‐directed thrust fault, the Poshkharv thrust, separating the overlying upper‐greenschist facies Poshkharv complex from the underlying amphibolite facies Kurgovat complex. Regional geologic maps indicate the Poshkharv thrust continues for ∼300 km across the NW Pamir. Our study also documents another regional thrust fault, the top‐to‐the‐SE Vanch thrust that juxtaposes the Southern Kurgovat complex above the lower‐grade Vanch complex in the south. Biotite 40Ar/39Ar thermochronology indicates Early Cretaceous movement on all structures with ∼135–125 Ma exhumation along the NW‐directed Poshkharv thrust and ∼125–115 Ma exhumation along the SE‐directed Vanch thrust. Regional crustal deformation in the Northern Pamir was formed in a Cretaceous retro‐arc setting, unrelated to the Cenozoic India‐Asia collision. Cretaceous deformation in the NW Pamir was broadly coeval with the NE Pamir, but preceded Cretaceous shortening and coeval arc magmatism in the Southern Pamir. We interpret Early Cretaceous thrusting and crustal thickening followed by southward migration of shortening and magmatic flare‐up in the Pamir to have resulted from a transition of Neotethys subduction from northward flat‐slab advancing to southward retreating.
Dominant Coupling Mode of SST in Maritime Continental Region and East Asian Summer Monsoon Circulation
Authors: Zhu Jing , Yu Yueyue , Guan Zhaoyong , Wang Xudong 
Published: October 2022

AbstractUsing a series of data from the National Oceanic and Atmospheric Administration (NOAA) and singular value decomposition (SVD) method, the dominant coupled mode between sea surface temperature (SST) anomaly in Maritime Continent (MC) and circulation anomaly in East Asia in summertime and its underlying mechanism are revealed. Results show that the first SVD mode is characterized by the in‐phase variations of SST anomaly in the entire MC and sea level pressure (SLP) anomaly in East Asia, and their co‐variation is measured by an SVD joint index, . Based on composite difference fields, the ocean mixed layer heat budget reveals that the maintenance of the MC regional SST anomaly is jointly determined by ocean dynamics and heat flux. The anomalous SST warming near Java Island is dominated by the meridional advection of ocean current, while the SST warming in the Bay of Bengal, the South China Sea and the Northwest Pacific are mainly contributed by the increased downward latent heat flux and shortwave radiation flux. The SLP anomaly pattern in East Asia coupled with SST anomaly in the MC region is represented by the anomalous anticyclone in the Northwest Pacific, which can be maintained by the ‐related atmospheric vertical cell. The ‐related circulation anomalies tend to favor the summer precipitation in the middle and lower reaches of the Yangtze River and the south of Yunnan‐Guizhou Plateau, but lead to negative precipitation anomaly in central and Northeast China.
Land tenure drives Brazil’s deforestation rates across socio-environmental contexts
Authors: Pacheco Andrea , Meyer Carsten 
Published: October 2022

AbstractMany tropical forestlands are experiencing changes in land-tenure regimes, but how these changes may affect deforestation rates remains ambiguous. Here, we use Brazil’s land-tenure and deforestation data and quasi-experimental methods to analyze how six land-tenure regimes (undesignated/untitled, private, strictly-protected and sustainable-use protected areas, indigenous, and quilombola lands) affect deforestation across 49 spatiotemporal scales. We find that undesignated/untitled public regimes with poorly defined tenure rights increase deforestation relative to any alternative regime in most contexts. The privatization of these undesignated/untitled lands often reduces this deforestation, particularly when private regimes are subject to strict environmental regulations such as the Forest Code in Amazonia. However, private regimes decrease deforestation less effectively and less reliably than alternative well-defined regimes, and directly privatizing either conservation regimes or indigenous lands would most likely increase deforestation. This study informs the ongoing political debate around land privatization/protection in tropical landscapes and can be used to envisage policy aligned with sustainable development goals.
Cell-specific regulation of gene expression using splicing-dependent frameshifting
Authors: Ling Jonathan P. , Bygrave Alexei M. , Santiago Clayton P. , Carmen-Orozco Rogger P. , Trinh Vickie T. , Yu Minzhong , Li Yini , Liu Ying , Bowden Kyra D. , Duncan Leighton H. , Han Jeong , Taneja Kamil , Dongmo Rochinelle , Babola Travis A. , Parker Patrick , Jiang Lizhi , Leavey Patrick J. , Smith Jennifer J. , Vistein Rachel , Gimmen Megan Y. , Dubner Benjamin , Helmenstine Eric , Teodorescu Patric , Karantanos Theodoros , Ghiaur Gabriel , Kanold Patrick O. , Bergles Dwight , Langmead Ben , Sun Shuying , Nielsen Kristina J. , Peachey Neal , Singh Mandeep S. , Dalton W. Brian , Rajaii Fatemeh , Huganir Richard L. , Blackshaw Seth 
Published: October 2022

AbstractPrecise and reliable cell-specific gene delivery remains technically challenging. Here we report a splicing-based approach for controlling gene expression whereby separate translational reading frames are coupled to the inclusion or exclusion of mutated, frameshifting cell-specific alternative exons. Candidate exons are identified by analyzing thousands of publicly available RNA sequencing datasets and filtering by cell specificity, conservation, and local intron length. This method, which we denote splicing-linked expression design (SLED), can be combined in a Boolean manner with existing techniques such as minipromoters and viral capsids. SLED can use strong constitutive promoters, without sacrificing precision, by decoupling the tradeoff between promoter strength and selectivity. AAV-packaged SLED vectors can selectively deliver fluorescent reporters and calcium indicators to various neuronal subtypes in vivo. We also demonstrate gene therapy utility by creating SLED vectors that can target PRPH2 and SF3B1 mutations. The flexibility of SLED technology enables creative avenues for basic and translational research.
Chip-scale high-peak-power semiconductor/solid-state vertically integrated laser
Authors: Yue Jianglin , Tanaka Kenji , Hirano Go , Yonezawa Gen , Shimizu Misaki , Iwakoshi Yasunobu , Tobita Hiroshi , Koda Rintaro , Higa Yasutaka , Watanabe Hideki , Yanashima Katsunori , Kamata Masanao 
Published: October 2022

AbstractCompact lasers capable of producing kilowatt class peak power are highly desirable for applications in various fields, including laser remote sensing, laser micromachining, and biomedical photonics. In this paper, we propose a high-peak-power chip-scale semiconductor/solid-state vertically integrated laser in which two cavities are optically coupled at the solid-state laser gain medium. The first cavity is for the intra-pumping of ytterbium-doped yttrium aluminum garnet (Yb:YAG) with an electrically driven indium gallium arsenide (InGaAs) quantum well, and the second cavity consists of Yb:YAG and chromium-doped yttrium aluminum garnet (Cr:YAG) for passive Q-switching. The proposed laser produces pulses as short as 450 ps, and an estimated peak power of 57.0 kW with a laser chip dimension of 1 mm3. To the best of our knowledge, this is the first monolithic integration of semiconductor and solid-state laser gain mediums to realize a compact high-peak-power laser.
Attention assessment based on multi‐view classroom behaviour recognition
Authors: Zheng ZhouJie , Liang GuoJun , Luo HuiBin , Yin HaiChang 
Published: October 2022

AbstractIn recent years, artificial intelligence has been applied in many fields, and education has attracted more and more attention. More and more behaviour detection and recognition algorithms are applied in the field of education. Students' attention in class is the key to improving the quality of teaching, and classroom behavior is a direct manifestation of students' attention. In view of the problem that the accuracy of students' classroom behavior recognition is generally low, we apply deep learning to multi‐view behavior detection, which can detect and recognize behaviors from different perspectives, to evaluate students' classroom attention. First, an improved detection model based on YOLOv5 is proposed, which improves the CBL module throughout the entire network to optimize the model and uses SIoU as the loss function to improve the convergence speed of the prediction box. Second, a quantitative evaluation standard for students' classroom attention is established and then training and verification are conducted by collecting multi‐view classroom datasets. Finally, the environment variation in the training model phase is increased to make the model have better generalization ability. Experiments demonstrate that our method can effectively identify and detect students' behaviours in the classroom from different angles, and it has good robustness and feature extraction capabilities.
Back propagation neural network‐based torque ripple reduction strategy for high frequency square‐wave voltage injection‐based interior permanent magnet synchronous motor sensorless control
Authors: Li Yan , Chen Zhen , Sun Xiaoyong , Gao Congzhe , Liu Xiangdong , Guo Youguang 
Published: October 2022

AbstractIn interior permanent magnet synchronous motor (IPMSM) position‐sensorless drives, the high‐frequency (HF) square‐wave voltage injection method is often used to estimate the rotor position and speed in low‐speed range by tracking the salient polarity of the motor. In order to reduce the torque ripple caused by HF signal injection, a strategy to update the magnitude of the injected signal online by back propagation neural network is proposed in this paper. With the proposed method, the neural network can update the magnitude of the injected signal online according to the d‐axis current and the position error information. It can not only ensure the accuracy of position extraction but also effectively reduce the current harmonics caused by the injected signal, and then the torque ripple can be reduced. In addition, the proposed method is easy to implement, resulting in low computation burden. Finally, the experiments are implemented on a 1‐kW IPMSM drive. The experimental results show that compared with the conventional fixed magnitude injection, the peak‐to‐peak value of the torque ripple is reduced by nearly half along with the decrease of the injected magnitude.
Double spatial scale search algorithm for distributed multi‐area economic dispatch via problem pre‐processing
Authors: Shao Shibiao , Gao Feng , Wu Jiang 
Published: October 2022

AbstractDistributed multi‐area economic dispatch (MAED) can overcome the deficiencies of a large amount of information processing and regional privacy leakage faced by centralized scheduling. However, multiple iterations may increase communication and computing costs, as well as operational risk. Therefore, this paper proposes a double spatial scale search (DSSS) algorithm to accelerate the iterative process. First, each area performs the multi‐parametric quadratic programming (MPQP) with load and phase angles of boundary buses as parameters to pre‐process the MAED problem as a piecewise quadratic programming (PQP) problem. To reduce the complexity of MPQP, a parameter variables reduction method and a fitting‐based imprecise MPQP (i‐MPQP) algorithm are developed. Then, aided by the i‐MPQP results, we design a DSSS algorithm to optimize the PQP problem efficiently. Finally, two interconnected power systems of different sizes are used for numerical testing. The results show that the i‐MPQP can produce a 77.98% and 88.65% reduction in the number of precise MPQP (p‐MPQP) function segments. Compared with the existing algorithm, the iterations of DSSS algorithm are decreased by 75% and 76.35%, and it can converge with one iteration in most cases. Moreover, the performance of the proposed method is insensitive to the system settings and algorithm parameters.
Yarkovsky effect detection from ground-based astrometric data for near-Earth asteroid (469219) Kamo’oalewa
Authors: Liu Lu , Yan Jianguo , Ye Mao , Yu Liangliang , Chen Yihao , Qiu Denggao , Zheng Chong , Barriot Jean-Pierre 
Published: October 2022

Context. The Yarkovsky effect is a weak non-gravitational force but may significantly affect sub-kilometre-sized near-Earth asteroids. Yarkovsky-related drift may be detected, in principle, from astrometric or radar datasets of sufficient duration. To date, the asteroid Kamo’oalewa, the most stable of Earth’s quasi-satellites, has an ~18 yr-long arc of ground-based optical astrometry. These data provide an opportunity to detect the Yarkovsky effect acting on the asteroid Kamo’oalewa.
Aims. We determined the Yarkovsky-related drift of asteroid Kamo’oalewa from ~18 yr of ground-based optical astrometry. Furthermore, we investigated the influence of the Yarkovsky effect on the orbital evolution of asteroid Kamo’oalewa based on this estimated value, and evaluated the potential improvements in the detection of non-gravitational accelerations (Yarkovsky effect and solar radiation pressure) for the asteroid Kamo’oalewa that could be provided by the future Chinese small-body exploration mission, Tianwen-2.
Methods. The Yarkovsky-related drift of asteroid Kamo’oalewa was detected from the orbital fitting of the astrometry measurements. We checked the Yarkovsky effect detection based on both the orbit fitting results and the physical mechanisms of the Yarkovsky effect.
Results. We report for the first time the detection of the Yarkovsky effect acting on asteroid Kamo’oalewa based on ~18 yr of ground-based optical astrometry data. The estimated semi-major axis drift is (−6.155 ± 1.758) × 10−3 au Myr−1. In addition, our numerical simulation shows that the Yarkovsky effect has almost no influence on the short-term orbital evolution of the asteroid Kamo’oalewa, but does have a long-term influence, by delaying the entry of the object into the Earth co-orbital region and accelerating its exit from this region, with a more significant signature on the exit than on the entry. In the context of spacecraft tracking data, the Tianwen-2 mission will improve both non-gravitational accelerations (Yarkovsky effect and solar radiation pressure) and predictions of its future ephemeris.
Diagnostic Value of the Systemic Immune-Inflammation Index in Newborns with Urinary Tract Infection
Authors: Kocaaslan Ramazan , Dilli Dilek , Çitli Rumeysa 
Published: October 2022

Objective Aim of this study is to investigate the diagnostic role of the systemic immune-inflammation index (SII; neutrophil × platelet [PLT]/lymphocyte) in the prediction of renal involvement in newborns with urinary tract infection (UTI).
Study Design We conducted a retrospective cohort study among 117 newborns with a gestational age greater than 35 weeks and hospitalized in the NICU. Laboratory values obtained from blood samples taken before the initiation of antibiotics were evaluated for renal function tests, complete blood count, and acute phase reactants. The ratios of platelet-to-lymphocyte (PLR), neutrophil-to-lymphocyte (NLR), and SII were calculated. The patients were divided into two main groups according to the presence of urinary tract pathology in ultrasonography (US): group 1, UTI with renal involvement (n = 43) and group 2, UTI without renal involvement (n = 74). Predictive values of different tests were compared.
Results The mean white blood cell, PLT, mean PLT volume, and neutrophile counts were higher, while lymphocyte counts were significantly lower in group 1 than those of group 2. Interleukin 6 (IL-6; pg/mL; IL-6), C-reactive protein (CRP; mg/L), NLR, PLR, and SII values were also higher in group 1. Receiver operating characteristics curve showed that SII, CRP, IL-6, PLR, and NLR have a predictive ability to discriminate renal involvement from normal renal findings in newborns with UTI. The SII produced an area under curve of 0.75 (72% sensitivity and 60.8% specificity). To define renal involvement, the cut-off values of SII, CRP, IL-6, PLR, and NLR were 217, 3.06, 23, 65.5, and 0.60, respectively.
Conclusion Our results showed that SII might be used as an additional parameter in the prediction of renal involvement in newborns with UTIs. Further studies are required.
Key Points
Genomic analysis, immunomodulation and deep phenotyping of patients with nodding syndrome
Authors: Soldatos Ariane , Nutman Thomas B , Johnson Tory , Dowell Scott F , Sejvar James J , Wilson Michael R , DeRisi Joseph L , Inati Sara K , Groden Catherine , Evans Colleen , O’Connell Elise M , Toliva Bernard Opar , Aceng Jane R , Aryek-Kwe Josephine , Toro Camilo , Stratakis Constantine A , Buckler A Gretchen , Cantilena Cathy , Palmore Tara N , Thurm Audrey , Baker Eva H , Chang Richard , Fauni Harper , Adams David , Macnamara Ellen F , Lau C Christopher , Malicdan May Christine V , Pusey-Swerdzewski Barbara , Downing Robert , Bunga Sudhir , Thomas Jerry D , Gahl William A , Nath Avindra 
Published: October 2022

Abstract
The aetiology of nodding syndrome remains unclear, and comprehensive genotyping and phenotyping data from patients remain sparse. Our objectives were to characterize the phenotype of patients with nodding syndrome, investigate potential contributors to disease aetiology, and evaluate response to immunotherapy.
This cohort study investigated members of a single-family unit from Lamwo District, Uganda. The participants for this study were selected by the Ugandan Ministry of Health as representative for nodding syndrome and with a conducive family structure for genomic analyses. Of the eight family members who participated in the study at the National Institutes of Health (NIH) Clinical Center, three had nodding syndrome.
The three affected patients were extensively evaluated with metagenomic sequencing for infectious pathogens, exome sequencing, spinal fluid immune analyses, neurometabolic and toxicology testing, continuous electroencephalography and neuroimaging. Five unaffected family members underwent a subset of testing for comparison. A distinctive interictal pattern of sleep-activated bursts of generalized and multifocal epileptiform discharges and slowing was observed in two patients. Brain imaging showed two patients had mild generalized cerebral atrophy, and both patients and unaffected family members had excessive metal deposition in the basal ganglia. Trace metal biochemical evaluation was normal. CSF was non-inflammatory and one patient had CSF-restricted oligoclonal bands. Onchocerca volvulus-specific antibodies were present in all patients and skin snips were negative for active onchocerciasis. Metagenomic sequencing of serum and CSF revealed hepatitis B virus in the serum of one patient. Vitamin B6 metabolites were borderline low in all family members and CSF pyridoxine metabolites were normal. Mitochondrial DNA testing was normal. Exome sequencing did not identify potentially causal candidate gene variants.
Nodding syndrome is characterized by a distinctive pattern of sleep-activated epileptiform activity. The associated growth stunting may be due to hypothalamic dysfunction. Extensive testing years after disease onset did not clarify a causal aetiology. A trial of immunomodulation (plasmapheresis in two patients and intravenous immunoglobulin in one patient) was given without short-term effect, but longer-term follow-up was not possible to fully assess any benefit of this intervention.
An introduction to machine learning for classification and prediction
Authors: Black Jason E , Kueper Jacqueline K , Williamson Tyler S 
Published: October 2022

AbstractClassification and prediction tasks are common in health research. With the increasing availability of vast health data repositories (e.g. electronic medical record databases) and advances in computing power, traditional statistical approaches are being augmented or replaced with machine learning (ML) approaches to classify and predict health outcomes. ML describes the automated process of identifying (“learning”) patterns in data to perform tasks. Developing an ML model includes selecting between many ML models (e.g. decision trees, support vector machines, neural networks); model specifications such as hyperparameter tuning; and evaluation of model performance. This process is conducted repeatedly to find the model and corresponding specifications that optimize some measure of model performance. ML models can make more accurate classifications and predictions than their statistical counterparts and confer greater flexibility when modelling unstructured data or interactions between covariates; however, many ML models require larger sample sizes to achieve good classification or predictive performance and have been criticized as “black box” for their poor transparency and interpretability. ML holds potential in family medicine for risk profiling of patients’ disease risk and clinical decision support to present additional information at times of uncertainty or high demand. In the future, ML approaches are positioned to become commonplace in family medicine. As such, it is important to understand the objectives that can be addressed using ML approaches and the associated techniques and limitations. This article provides a brief introduction into the use of ML approaches for classification and prediction tasks in family medicine.
Vinegar-baked Radix Bupleuri enhances the liver-targeting effect of rhein on liver injury rats by regulating transporters
Authors: Zhao Ya , Wang Jinqiu , Liu Lijuan , Wu Yayun , Hu Qiaohong , Zhao Ruizhi 
Published: October 2022

Abstract

Objective
This study aimed to explore whether the liver-targeting enhancing effect of vinegar-baked Radix Bupleuri (VBRB) on rhein was achieved by affecting transporters, metabolism enzymes as well as hepatocyte nuclear factor 1α/4α (HNF1α/HNF4α) in liver injury.

Methods
The effect of VBRB on the efficacy of rhein was performed with the LPS-induced acute liver injury rat model. Aspartate aminotransferase (AST), alanine transaminase (ALT) and superoxide dismutase (SOD) levels were determined and histopathological examination was taken. Drug concentrations in tissues were determined by high performance liquid chromatography (HPLC). The protein expressions of drug transporters, metabolic enzymes and hepatic nuclear factors were determined by Western blotting and ELISA assays.

Key finding
VBRB improved the liver protecting effect of rhein, which was consistent with its promoting effect on targeted enrichment of rhein in the liver. VBRB or in combination with rhein inhibited P-glycoprotein (Pgp) and multi-resistance related protein 2 (MRP2), while increased organic anion transporting polypeptide 2 (OATP2), which might be the reason why VBRB promoted liver-targeting effect of rhein.

Conclusion
VBRB enhances the liver-protecting effect of rhein by down-regulating Pgp, MRP2, and up-regulating OATP2.