bluuebunny/crossref_metadata_2025_split huggingface dataset:
New Insights into Mechanisms of Berberine in Alleviating Reproductive Disorders of Polycystic Ovary Syndrome: Anti-inflammatory Properties
Authors: Xia Qing , Wang Wenjing , Liu Zijie , Xiao Jiaying , Qiao Cong , Zhao Yu , Li Bowen , Liu Yuanli , Peng Yahui , Yang Xinyu , Shi Jiabin , Gao Xu , Wang Dayong 
Published: June 2022

Abstract
Polycystic ovary syndrome (PCOS) is a complex reproductive disorder which seriously harms female reproductive health and decreases their quality of life. Although spontaneous or assisted ovulation, women with PCOS suffer from poor-quality oocytes and embryos, lower fertilization and final pregnancy rate. Therefore, it is urgent to reveal new pathological mechanisms and discover the underlying therapeutic targets for the reproductive disorders in PCOS. Berberine, one of the famous traditional Chinese medicines, has been shown to improve ovulation and live birth rates in women with PCOS. The effects of berberine on insulin resistance and abnormal glucose and lipid metabolism for restoring reproductive health of PCOS are well recognized and widely studied, but much less attention has been paid to its anti-inflammatory properties. Chronic low-grade inflammation as the unifying feature of PCOS may contribute to reproductive disorders in PCOS. Berberine can tune the inflammatory state of ovaries and uterus in PCOS. The anti-inflammatory properties of berberine may provide new insight into mechanisms of berberine in alleviating reproductive disorders of PCOS. Here, we summarize the most recent insights into anti-inflammatory properties of berberine in reproductive disorders of PCOS, inspiring researchers to go in new study directions of berberine.
Generalized Empirical Depth-based Classification
Authors: Rahman Jafer , Liu Xiaohui , Luo Shihua 
Published: June 2022

Abstract
The empirical likelihood is a fully data-dependent method which inherits many advantages of the parametric likelihood approach and requires comparatively less assumptions. In this paper, we consider empirical likelihood-based depth notion the so-called generalized empirical depths to introduce a nonparametric classification procedure. The existing classifiers based on data depths such as the halfspace and the zonoid depth suffer from the “outsiders”. The proposed method suitably considers those points to include in the convex hull of each class observations and completely gets rid of the “outsider problem”. Moreover, unlike other empirical likelihood-based procedures, it has advantage of having non-degenerate population version. The performance of the proposed approach is examined using simulated as well as real datasets, and the results are compared with those based on the zonoid and halfspace depths. In most of the cases, the proposed classifier performs comparably with aforementioned procedures across a range of settings and outperforms in many cases with encouraging results.
Correlations of palatal surface area with anthropometric dimensions of head and face
Authors: Assy Z. , Jager D. H.J. , Brand H. S. , Bikker F. J. 
Published: June 2022

Abstract
Purpose: Saliva distribution over the palatal surface plays an important role in the perception of dry mouth. It is envisaged that non-invasive estimation of the palatal surface area by anthropometric measurements of head and face, can be useful in the assessment of oral dryness. For this purpose, the relationship between the palatal surface area and anthropometric measurements of the head and face was investigated. Methods: The palatal surface was measured in 51 healthy volunteers using an intra-oral scanner. The distances between anthropometric landmarks of the head and face were determined using an anatomical sliding caliper. Correlations between the palatal surface area and the anthropometric landmarks were investigated.Results: The median palatal surface area for the total study population was found to be 2120.6 mm2. Virtually all anthropometric measurements showed significant differences between females and males. Various head and face measurements had a significant correlation with the palatal surface area. However, these correlations disappeared when the participants were stratified based on their sex, with the exception of mandibular length and palatal width in females. Conclusion: The surface area of the palate correlates with nearly all anthropometric measurements of the head and face included in this study. Yet, the clinical applicability seems limited to females.
Outcomes of recurrent incisional hernia repair with different mesh repair approach: A retrospective cohort study in a single institution
Authors: Chen Fuqiang , Nie Yusheng , Guo Yingfeng , Bittner Reinhard , Yang Huiqi , Chen Jie 
Published: June 2022

Abstract
Purpose
There is a scarcity of studies on different surgical approaches for recurrent incisional hernia and associated complications. The aim of our study is to describe the management of recurrent incisional hernia repairs at a single institution over 5-year period.
Methods
Consecutive patients who received one of four surgeries of interest for recurrent incisional hernia were identified. Clinical outcomes were evaluated and compared across different approaches. A stratified analysis by defect size was conducted according to the European Hernia Society (EHS) width classification.
Results
A total of 292 patients were analyzed: 74 (25.3%) underwent open sublay repair without the component separation technique (CST; Group I), 50 (17.1%) had open sublay repair with CST (Group II), 131 (44.9%) had laparoscopic mesh repair (Group III), and 37 (12.7%) had a hybrid procedure (Group IV). Patients in Groups II and IV had higher rates of complications (48.0% and 54.1%, respectively) compared to those in Groups I (21.6%) and III (20.6%). Within a median follow-up period of 36 (12–70) months, four patients in Group I (5.4%), one in Group II (2.0%), five (3.8%) in Group III, and two (5.4%) in Group IV developed recurrence, and the between-group difference was not significant. Multivariate analysis identified higher body mass index, smoking, longer operative time, and EHS width class W3 ≥ 10 cm as the risk factors of postoperative complications.
Conclusion
Tailored surgery is recommended for repair of recurrent incisional hernias. Both CST and hybrid techniques are feasible approaches for complex hernias. Larger defects are associated with an increased risk of complications.
Timing matters: Age-dependent impacts of the social environment and host selection on the avian gut microbiota
Authors: Maraci Öncü , Antonatou-Papaioannou Anna , Jünemann Sebastian , Engel Kathrin , Castillo-Gutiérrez Omar , Busche Tobias , Kalinowski Jörn , Caspers Barbara A. 
Published: June 2022

Abstract
Background: The establishment of the gut microbiota in early life is a critical process that influences the development and fitness of vertebrates. However, the relative influence of transmission from the early social environment and host selection throughout host ontogeny remains understudied, particularly in avian species. We conducted conspecific and heterospecific cross-fostering experiments in zebra finches (Taeniopygia guttata) and Bengalese finches (Lonchura striata domestica) under controlled conditions and repeatedly sampled the faecal microbiota of these birds over the first three months of life. We thus documented the development of the gut microbiota and characterised the relative impacts of the early social environment and host selection due to species-specific characteristics and individual genetic backgrounds across ontogeny by using 16S ribosomal RNA gene sequencing.Results: The taxonomic composition and community structure of the gut microbiota changed across ontogenetic stages; juveniles exhibited higher alpha diversity than adults. Furthermore, in early development, the microbial communities of juveniles raised by conspecific and heterospecific foster parents resembled those of their foster family, emphasizing the importance of the social environment. In later stages, the social environment continued to influence the gut microbiota, but host selection increased in importance.Conclusions: We provided a baseline description of the developmental succession of gut microbiota in zebra finches and Bengalese finches, which is a necessary first step for understanding the impact of the early gut microbiota on host fitness. Furthermore, for the first time in avian species, we showed that the relative strengths of the two forces that shape the establishment and maintenance of the gut microbiota (i.e., host selection and dispersal from the social environment) change during development, with host selection increasing in importance. This finding should be considered when experimentally manipulating the early-life gut microbiota. Our findings also provide new insights into the mechanisms of host selection.
A Comprehensive Characterization of Threats Targeting Low-Latency Services: the Case of L4S
Authors: Letourneau Marius , Doyen Guillaume , Cogranne Rémi , Mathieu Bertrand 
Published: June 2022

Abstract
New types of services with low-latency requirements have become a major challenge for the future Internet. Many optimizations, all targeting the latency reduction have been proposed, and among them, jointly re-architecting congestion control and active queue management has been particularly considered. In this effort, the L4S (Low Latency, Low Loss and Scalable Throughput) proposal aims at allowing both classic and low-latency traffic to cohabit within a single node architecture. Although this architecture sounds promising for latency improvement, it can be exploited by an attacker to perform malicious actions whose purposes are to defeat its low-latency feature and consequently make their supported applications unusable. In this paper, we analyze the set of weaknesses of the L4S proposal and we show that application-layer protocols such as QUIC can easily be hacked in order to exploit the over-sensitivity of those new services to network variations. By implementing such undesirable flows in a real testbed and characterizing how they impact the proper delivery of low-latency flows, we demonstrate their reality and give insights for research directions on the detection of flows threatening low latency services.
WITHDRAWN: Computational modeling of transport phenomena in low-dimensional systems using numerical algorithms
Authors: Chen Junjie 
Published: June 2022

Abstract
The study of transport phenomena concerns the exchange of mass, energy, charge, momentum and angular momentum between observed and studied systems. While it draws from fields as diverse as continuum mechanics and thermodynamics, it places a heavy emphasis on the commonalities between the topics covered. Mass, momentum, and heat transport all share a very similar mathematical framework, and the parallels between them are exploited in the study of transport phenomena to draw deep mathematical connections that often provide very useful tools in the analysis of one field that are directly derived from the others. However, the currently available methods for solving unsteady convection-diffusion problems are generally not able to offer excellent accuracy in space and time. The unsteady convection-diffusion equation in low-dimensional systems was solved by using numerical algorithms through combing the Runge-Kutta method with a compact difference scheme. The combined method has fourth-order accuracy in space and time. To check the accuracy of the numerical algorithms, low-dimensional transport modeling processes were performed and comparisons were made with the Crank-Nicolson method. The analysis results indicated that the combined method is numerically stable at low wave numbers and small Courant-Friedrichs-Lewy numbers. The velocity field is a function of time and space. The combined method has higher accuracy than the Crank-Nicolson method. The convection-diffusion equation can be derived in a straightforward way from the continuity equation, which states that the rate of change for a scalar quantity in a differential control volume is given by flow and diffusion into and out of that part of the system along with any generation or consumption inside the control volume.
Scaling optical neuromorphic processing to the PetaOp regime with Kerr soliton crystal microcombs
Authors: moss david 
Published: June 2022

Abstract
Artificial neural networks (ANNs) are able to distill the hierarchical aspects of raw data. They are central to machine learning functions including speech and pattern recognition, medical diagnosis, playing board games, computer vision, and many other areas [1–7]. Optical neural networks (ONNs) in particular can significantly increase the computing speed of ANNs in order to overcome the intrinsic bandwidth bottleneck of electronics. Convolutional neural networks (CNNs), are inspired by biological systems such as the visual cortex, and are a powerful approach to greatly reduce the parametric network complexity in order to enhance the accuracy of the predictions of the system. In this paper, we demonstrate a universal optical convolutional accelerator that can be used in conjunction with both electronic and optical neural networks. It operates beyond 10 Tera-OPS (TOPS - operations per second) and produces convolutions of extremely large scale images of 250,000 pixels in size with a resolution of 8-bits. It generates 10 convolutions simultaneously in parallel, with 10 different kernels. This processing simultaneously — enough for facial image recognition. After demonstrating this, we then use the exact hardware to form a convolutional neural network consisting of a convolutional front-end followed by a deep optical neural network fully connected layer, together forming a CNN with ten neurons at the output. We successfully perform the recognition of all 10 hand written digits, each consisting of 900 pixel handwritten digit images. We achieve an accuracy of 88% which is very close to the theoretical accuracy of 90%. We use an approach that exploits the simultaneous multiplexing, or interleaving, within the time, space and wavelength dimensions, using an optical frequency comb supplied by an integrated Kerr micro-comb source. We compare the performance of different optical neural networks, explicitly showing that our approach is intrinsically scalable in both size and speed, up to the PetaOPs per second (POPs) regime in speed and to well over 24,000 synapses in size. We perform theoretical evaluation of the scaled system performance and show that it is trainable to much more complex networks for real-world demanding applications including real-time video recognition and autonomous unmanned vehicle control.
Genome-wide analysis of the bHLH transcription factor family and the functional identification of bHLH genes related to puerarin biosynthesis in Pueraria lobata var. thomsonii (Benth.)
Authors: Xiao Liang , Huang Ding , Wu Zhengdan , Shang Xiaohong , Cao Sheng , Zeng Wendan , Lu Liuying , Shi Pingli , Yan Huabing 
Published: June 2022

Abstract

Plant basic helix-loop-helix (bHLH) transcription factors are involved in diverse biological process. Several bHLH transcription factors have been functionally characterized in various crop species. However, no systematic and comprehensively identification of bHLH members has been in Pueraria lobata var. thomsonii (Benth.) (P. thomsonii), a traditional Chinese herb that is an excellent source of puerarin. Phylogenetic analysis showed that 219 bHLH genes were identified in the P. thomsonii and classified into 13 subfamilies. All the PlbHLH genes were distributed on the 11 chromosomes unevenly and the number of PlbHLH genes on each chromosome varied from 12 to 44. Both of tandem and segmental duplications were key factors driving bHLH gene family expansion in P. thomsonii. The gene structure analysis indicated that 20 conserved motifs were found in PlbHLH gene family, 185 PlbHLH members contain more than two introns, and genes within the same subfamily appeared to share similar intron-exon gene structures. The Ka/Ks analysis indicated PlbHLH gene family undergo purifying selection during evolution. The hierarchical clustering analysis indicated that 41 PlbHLHs showed root-specific expression patterns, and seven of them exhibited up-regulated expression pattern after MeJA treatment within 24 h. Using qRT-PCR validation, five puarian synthesis genes had a similar expression pattern with the seven PlbHLH genes in response to MeJA within 24 h. Together, our study provided a good foundation for further research into the regulatory mechanism of the seven candidate PlbHLH proteins for pueraria biosynthesis in P. thomsonii.
Triple Cation perovskites: Exploring the optimal process parameters of slot-die coated n-i-p perovskite solar cells
Authors: Dagar Janardan , Munir Rahim , Li Jinzhao , Flatken Marion , Mathies Florian , Maus Oliver , Többens Daniel M. , Unger Eva 
Published: June 2022

Abstract
Upscaling of hybrid organic-inorganic perovskite solar cells (PSCs) is the most decisive approach towards commercialization of this technology via optimization of scalable manufacturing processes. Here, we report lab-scale slot-die coated “triple cation” Cs0.05FA0.79MA0.16PbBr0.51I2.49 (Cs-MAFA) perovskite solar cells with ~ 16% power conversion efficiency (PCE) measured under 1 sun illumination. This study provides thorough optimization of coating temperature and perovskite ink concentration to obtain favorable morphology and thickness of perovskite thin film. We realized that FACl additive were found to be determining factors to obtain the high performance PSCs. In-situ-GIWAXS measurements were carried out to analyze the perovskite film formation process of perovskite layer with and without FACl additive. This work is important for the development of PSCs modules as well as tandems.
Upregulated lncARAT in Schwann cells promotes axonal regeneration by recruiting and activating proregenerative macrophages
Authors: Yin Gang , Lin Yaofa , Wang Peilin , Zhou Jun , Lin Haodong 
Published: June 2022

Abstract
Keywords
: Schwann cells, Macrophages, Exosomes, LncARAT, Peripheral nerve repair.
Background
Axonal regeneration following peripheral nerve injury (PNI) depends on the complex interaction between Schwann cells (SCs) and macrophages, but the mechanisms underlying macrophage recruitment and activation in axonal regeneration remain unclear.
Methods
RNA sequencing (RNA-seq) was conducted to identify differentially expressed long noncoding RNAs (DElncRNAs) between crushed sciatic nerves and intact contralateral nerves. The putative role of lncRNAs in nerve regeneration was analyzed in vitro and in vivo.
Results
An lncRNA, called axon regeneration-associated transcript (lncARAT), was upregulated in SCs and SC-derived exosomes (SCs-Exo) after sciatic nerve injury. LncARAT contributed to axonal regeneration and improved motor function recovery. Mechanistically, lncARAT epigenetically activated C-C motif ligand 2 (CCL2) expression by recruiting KMT2A to CCL2 promoter, resulting in increased histone 3 lysine 4 trimethylation (H3K4me3) and CCL2 transcription in SCs. CCL2 facilitated the infiltration of macrophages into the injured nerves. Meanwhile, lncARAT-enriched exosomes were released from SCs and incorporated into macrophages. LncARAT functioned as an endogenous sponge to adsorb miRNA-329-5p in macrophages, resulting in increased suppressor of cytokine signaling (SOCS) 2 expression, which induced a proregenerative function of macrophages through a signal transducer and activator of transcription (STAT) 1/6-dependent pathway.
Conclusions
LncARAT may represent a promising therapeutic avenue for peripheral nerve repair.
Stress analysis of the lower lumbar spine three-joint complex according to different pelvic incidences
Authors: Lai Qi , Yin Jun , Chen Shaofeng , Zhang Zizhen , Yang Jie , Wan Zongmiao 
Published: June 2022

Abstract
Background: Pelvic incidence is closely related to degeneration of the facet joint and intervertebral disc and is related to the orientation of the facet joints. Currently, very few studies have been conducted on the force analysis of the three-joint complex in patients with different pelvic incidence measurements under different sports postures. We designed this study to better assess the influence of pelvic incidence on the stress of the lumbar three-joint complex. Finite element analysis can provide a biomechanical basis for the relationship between different pelvic incidences and degenerative diseases of the lower lumbar spine.Methods: We developed three nonlinear finite element models of the lumbar spine (L1-S1) with different pelvic incidences (27.44°, 47.05°, and 62.28°) and validated them to study the biomechanical response of facet joints and intervertebral discs with a follower preload of 400 N, under different torques (5 Nm, 10 Nm, and 15 Nm), and compared the stress of the three-joint complex of the lower lumbar spine (L3-S1) in different positions (flexion-extension, left-right bending, and left-right torsion). Results: In the flexion position, the stress of the disc in the low pelvic incidence model was the largest among the three models; the stress of the facet joint in the high pelvic incidence model was the largest among the three groups during the extension position. During torsion, the intradiscal pressure of the high pelvic incidence model was higher than that of the other two models in the L3/4 segment, and the maximum von Mises stress of the annulus fibrosus in the L5/S1 segment with a large pelvic incidence was greater than that of the other two models. In the flexion and extension position, range of movement (ROM) of the high pelvic incidence model was higher than that of the other two models in the L4/5 and L5/S1 segment.Conclusions: The stress and ROM of the lower lumbar facet joints and fibrous annulus of individuals with a high pelvic incidence is greater than that of individuals with a low pelvic incidence or a normal pelvic incidence. Therefore, people with high PI are more likely to develop lumbar degenerative diseases, such as lumbar disc herniation and lumbar spondylolisthesis.
Recent Advances in Nanotechnology-Based Targeted Therapeutics for Breast Cancer
Management
Authors: Alhalmi Abdulsalam , Beg Sarwar , Almalki Waleed H. , Alghamdi Saad , Kohli Kanchan 
Published: June 2022

Abstract:
Despite the great efforts that have been achieved in breast cancer treatment, it remains a significant cause
of death in women and is a serious health problem. Treatment with chemotherapy drugs faces various challenges,
such as toxicity and chemoresistance to chemotherapeutic drugs, which hinder their therapeutic success and clinical
experiments. This review focuses on targeting nanocarrier approaches to target chemotherapy drugs to receptor targets
that are overexpressed on the surface of breast cancer cells. In particular, the most commonly targeted nanocarriers
for the chemotherapeutic agents examined by the different researcher groups, such as liposomes, dendrimers,
polymeric micelles, lipid particulates, polymeric nanoparticles, and carbon nanotubes, have been reviewed. Moreover,
we summarized the molecular receptors or targets that are the most commonly overexpressed in breast cancer
cells and the natural and synthetic ligands studied for use as targeting moieties to functionalize chemotherapeutically
loaded nanocarriers for potential specific breast cancer targeting.