bluuebunny/crossref_metadata_2025_split huggingface dataset:
Therapeutic potential of stem cells and acitretin on inflammatory signaling pathway-associated genes regulated by miRNAs 146a and 155 in AD-like rats
Authors: Elzayat Emad M. , Shahien Sherif A. , El-Sherif Ahmed A. , Hosney Mohamed 
Published: June 2023

AbstractAlzheimer’s disease (AD) is one of the most common causes of dementia. Several drugs are used to improve the symptoms, but do not stop AD progression. There are more promising treatments that may have a significant role in AD diagnosis and treatment such as miRNAs and stem cells. The present study aims to develop a new approach for AD treatment by mesenchymal stem cells (MSCs) and/or acitretin with special reference to inflammatory signaling pathway as NF-kB and its regulator miRNAs in AD-like rat model. Fourty-five male albino rats were allotted for the present study. The experimental periods were divided into induction, withdrawal, and therapeutic phases. Expression levels of miR-146a, miR-155, necrotic, growth and inflammatory genes were assessed using RT-qPCR. Histopathological examination of brain tissues was performed in different rat groups. The normal physiological, molecular, and histopathological levels were restored after treatment with MSCs and/or acitretin. The present study demonstrates that the miR-146a and miR-155 might be used as promising biomarkers for AD. MSCs and/or acitretin proved their therapeutic potential in restoring the expression levels of targeted miRNAs and their related genes concerning NF-kB signaling pathway.
Seawater sulphate heritage governed early Late Miocene methane consumption in the long-lived Lake Pannon
Authors: Lin Zhiyong , Strauss Harald , Peckmann Jörn , Roberts Andrew P. , Lu Yang , Sun Xiaoming , Chen Tingting , Harzhauser Mathias 
Published: June 2023

AbstractSulphate deficiency makes lake environments a key source of atmospheric methane because sulphate-driven anaerobic oxidation of methane (SD-AOM) is hindered. Miocene to Pliocene Lake Pannon was the largest European lake, although the extent of its methane production remains unclear. When sulphate is available, SD-AOM occurs commonly in anoxic sediments and is recorded by authigenic iron sulphides. Here we identify abundant tubular pyrite and greigite aggregates from Lake Pannon sediments, which record brackish early lake conditions at ~11.3 Ma. The iron sulphides are morphologically similar to those reported elsewhere from methane seep and gas hydrate environments. Microscale sulphur isotope analysis and multiple sulphur isotope patterns of iron sulphides, and elevated sedimentary Ba/Al and Mo/Al ratios, are consistent with their derivation from SD-AOM under marine conditions. These results indicate substantial methane consumption in early Lake Pannon, and that sulphate was the dominant oxidant for AOM, which reduced the release of sedimentary methane to the atmosphere. SD-AOM signals archived by iron sulphides are valuable for evaluating methane consumption in lacustrine sediments.
Enhancement method of series hybrid ship energy efficiency for speed and energy collaborative optimization
Authors: Yuan Yupeng , Wang Xiaoyu , Tong Liang , Yuan Chengqing , Shen Boyang , Long Teng 
Published: June 2023

AbstractHybrid ships have recently garnered increasing attention as a promising solution for energy shortages and environmental pollution. However, changes in the navigation environment can greatly affect the energy efficiency of these vessels. Therefore, improving the energy efficiency of hybrid ships continues to be a key issue. Our study examined the energy efficiency of a diesel‐electric series hybrid ship operating on an inland river, and a method to optimise series hybrid ship energy efficiency was proposed. The energy consumption model, power demand model, and decision function with minimum fuel consumption as the evaluation criteria were established according to the ship's characteristics and hybrid system. By analysing the data collected from an actual ship, the operating conditions of the navigation environment were identified using the k‐means algorithm, and the total distance travelled by the ship was divided into several sub‐trajectories. Afterwards, the optimised speed of the ship and the optimised output power of each power source were determined using the grasshopper optimization algorithm. The ship's energy efficiency levels before and after using the energy efficiency enhancement method were compared and analysed, and the effects of this optimization method on the ship's energy efficiency in several typical voyages were analysed. Our findings demonstrated that this optimization method can distribute the output of the power source in a better way, thereby optimising the speed of the vessel and maintaining stable sailing. More importantly, the proposed method can reduce fuel consumption by 17.04%.
An iterative algorithm for the joint estimation of multiple targets and observation stations using direction of arrival and time difference of arrival measurements despite station position errors
Authors: Jiang Linqiang , Tang Tao , Wu Zhidong , Zhao Paihang , Zhang Ziqiang 
Published: June 2023

AbstractDirection of arrival (DOA) and time difference of arrival (TDOA) hybrid localisation is an effective localisation technique. Station position errors affect localisation performance. Owing to the highly non‐linear nature of the problem, there are few methods of DOA/TDOA hybrid localisation in the presence of station position errors. Hence, an iterative constrained weighted least squares (ICWLS) algorithm is proposed to estimate locations of multiple targets and stations for DOA/TDOA hybrid localisation with station position errors. To ensure convergence to the global optimal solution, non‐convex equality constraints are approximated to linear constraints during each iteration. The weighted averaging strategy using the results of the previous iteration is used to reduce the number of iterations. Theoretical analysis and simulation results show that the ICWLS can reach the Cramér–Rao lower bound. Additionally, the performance of multiple targets is better than that of a single target. The simulation results show that the ICWLS algorithm has higher accuracy than other methods and higher localisation accuracy can be maintained when the observation stations are under an ill‐conditioned geometry.
Neuro-Ophthalmic Visual Impairment in the Setting of COVID-19
Authors: Dinkin Marc , Sathi Swetha 
Published: June 2023

AbstractWe set out to describe in detail the afferent neuro-ophthalmological complications that have been reported in association with coronavirus disease 2019 (COVID-19) infection. We describe and elaborate on mechanisms of disease, including para-infectious inflammation, hypercoagulability, endothelial damage, and direct neurotropic viral invasion. Despite global vaccination programs, new variants of COVID-19 continue to pose an international threat, and patients with rare neuro-ophthalmic complications are likely to continue to present for care.Afferent complications from COVID-19 include homonymous visual field loss, with or without higher cortical visual syndromes, resulting from stroke, intracerebral hemorrhage, or posterior reversible leukoencephalopathy. Optic neuritis has frequently been reported, sometimes along with acute disseminated encephalomyelopathy, often in association with either myelin oligodendrocyte glycoprotein antibodies (MOG-IgG) or less commonly aquaporin-4 seropositivity or in newly diagnosed multiple sclerosis. Ischemic optic neuropathy has rarely been reported. Papilledema, resulting either from venous sinus thrombosis or idiopathic intracranial hypertension in the setting of COVID-19, has also been described.Observed afferent neuro-ophthalmic associations need to be confirmed though larger comparative studies. Meanwhile, the range of possible complications should be recognized by neurologists and ophthalmologists alike, to facilitate faster diagnosis and treatment of both COVID-19 and its neuro-ophthalmic manifestations.
Streptococcus constellatus-Induced Blindness in a 10-Year-Old Boy: A Case Report
Authors: Wang Sixuan , Dou Zhenzhen , Feng Wenya , Hu Bing , Cui Yanhui , Yang Xiaojian , Li Li , Ge Wentong , Liu Gang 
Published: June 2023

AbstractIn this article, we report a 10-year-old boy with acute bacteremia and left eye blindness. Culture from abscess drainage was positive for Streptococcus constellatus. Infection caused by S. constellatus is rare among children, and to our knowledge, this is the first report of this pathogen causing blindness. The rapidness of progression in this case is alarming. We also summarize other cases of S. constellatus infection.
In Vitro Susceptibility of Burkholderia pseudomallei Isolates to Cefiderocol and Ceftazidime/Avibactam from Odisha, India
Authors: Jena Jayanti , Behera Bijayini , Nayak Gayatree , Mohanty Srujana , Mahapatra Ashoka , Purushotham Prashanth , Radhakrishnan Anjuna , Tripathy Manaswiny 
Published: June 2023

Abstract
Introduction and Objectives The availability of a limited arsenal of antibacterial agents effective against Burkholderia pseudomallei, the causative agent of melioidosis, together with sporadic reports of emergence of resistance necessitates an evaluation of in vitro activity of new antimicrobials against clinical B. pseudomallei isolates. Cefiderocol (CFDC), a novel siderophore cephalosporin, and ceftazidime-avibactam (CZA), a new β lactam combination agent, have shown promising results for the treatment of difficult-to-treat Gram-negative bacilli infections with limited treatment options. This study was conducted to determine the in vitro activity of CFDC and CZA against a contemporary collection of 60 B. pseudomallei clinical isolates.
Materials and Methods Minimum inhibitory concentrations (MIC) of CFDC and CZA were determined by broth microdilution and E-test, respectively. The performance of disk diffusion was also evaluated for CFDC.
Results All B. pseudomallei isolates were susceptible to CFDC and CZA with MIC range of 0.125 to 2 mg/L and 0.19 to 1 mg/L, respectively. Zone diameters for CFDC ranged from 31 to 40 mm.
Conclusion CFDC and CZA exhibited excellent in vitro activity against 60 B. pseudomallei isolates. Further pharmacokinetic-pharmacodynamics studies and clinical trials are needed to prove the clinical efficacy of CFDC and CZA in the treatment of melioidosis.
Arm Length—Does It Influence Late Response in a Nerve Conduction Study?
Authors: G.R Sathya , Arulneyam Jayanthi , J. Venkatachalam , Manikandan M. 
Published: June 2023

Abstract
Introduction F wave response, a late response obtained from a motor nerve, can be influenced by various external factors like gender, temperature, height, weight, and limb length, and hence it causes variation in the measured parameters. Since very few studies have studied the impact of arm length on the F wave, this study was conducted to analyze the relation between the arm length on various parameters of F wave and hence to consider the importance of it during conduct of a nerve conduction study.
Methods The study was conducted among 40 healthy individuals and 40 diabetics with neuropathy. The arm length was measured in the upper limbs in both the groups and F wave was recorded following a conventional procedure using a standardized instrument.
Results This study showed that in the upper limbs of both the groups, there existed a positive correlation for certain parameters like minimum, maximum and mean latencies, persistence, FM latency and M latency, and a negative correlation for chronodispersion.
Conclusion F wave parameters should be adjusted for arm length to improve the sensitivity and diagnostic ability of neurological testing.
Science teachers’ collaborative innovative activities: the role of professional development and professional experience
Authors: Pečiuliauskienė Palmira , Kaminskienė Lina , Lehtinen Erno 
Published: June 2023

AbstractDespite the significant research interest in teachers’ innovative activities, the role of work experience and professional development (PD) as predictors of science teachers’ innovative work behaviour has rarely been studied. By using the TIMSS 2015 data of three countries with different levels of student achievements in science (Japan, Lithuania and South Africa), this article focuses on revealing how PD content, duration and teaching experience predict science teachers’ two collaborative innovative activities: working together to try out new ideas and sharing new ideas. According to Rogers’ diffusion theory, these two activities correspond to the fourth and fifth stages of innovation: implementation and sharing. The results of an ordinal regression analysis revealed that PD duration could not predict the collaborative innovative activity of science teachers and that teaching experience was a significant predictor of collaborative innovative activity only among Japanese teachers. The study showed that in Lithuanian and South African samples, PD focusing on pedagogical content knowledge, such as science curriculum, students’ critical thinking and enquiry skills and addressing individual students’ needs, positively predicted teachers’ innovative activities. The study invites future research and discussion about the role of PD duration in the collaborative innovative activity of science teachers.
Numerical simulation and investigation of ultra-short pulse laser ablation on Ti6Al4V and stainless steel
Authors: Peng Li , Li Mingqiang , Wang Pei , Li Xiaoguang , Zhang Yangguang , He Minqing , Zhou Cangtao , Zhang Hua , Chen Shi 
Published: June 2023

In ultra-short pulse laser machining and micro/surface processing, accurate simulation of laser ablation is important for understanding laser-target interaction and improving ablation performance, but it remains challenging. This work aims to develop a numerical model to improve the accuracy of the ablation depth calculation. A grid deformation scheme is proposed based on energy conservation and considering contributions to instant material removal from both the electron and lattice subsystems. By incorporating this scheme with the two-temperature model (TTM), a reasonable prediction of the instant target surface profile during laser ablation has been achieved. In the case of single-pulse femtosecond laser ablation of Ti6Al4V, the calculated ablation depth ranges from 0.06 to 0.56 μm for laser energy from 1.0 to 10.0 μJ. For single-pulse picosecond laser ablation of stainless steel, as laser energy increases from 6.0 to 18.5 μJ, the predicted ablation crater deepens accordingly from 40 to 87 nm. In addition, for multi-pulse picosecond laser ablation of stainless steel, a linear dependence of the ablation depth on the pulse number is observed up to a depth of about 803 nm at 6.0 μJ and 20 pulses. In all the above-mentioned cases, the calculation results are in better agreement with experimental measurements than conventional TTM or other material removal schemes, validating the accuracy of the proposed model.
Microbiological indicators as sensitive indicators in the assessment of areas contaminated by heavy metals
Authors: Melloni Eliane Guimarães Pereira , Melloni Rogério , Pastor-Jáuregui Rocío , Aguilar-Garrido Antonio , Martín-Peinado Francisco José 
Published: June 2023

Context As one of the world’s largest mining spills, the Aznalcóllar pyrite mine accident in Spain in 1998 resulted in ~45 km2 of agricultural soils polluted by arsenic and heavy metals. The Guadiamar Green Corridor (GGC) helped with soil remediation but residual pollution is still detected 20 years later. Aims Several methodologies based on chemical indicators have been used to assess the recovery of these areas. However, simple microbiological indicators (e.g. microbial activity and biomass, and metabolic quotient (qCO2)) are yet to be uesed. The aim of this study was to evaluate areas contaminated by arsenic and heavy metals using microbiological indicators of soil quality. Methods We used a systematic random sampling design to collect soil samples from two soil groups with different recovery trajectories. We analysed the total and water-soluble concentrations of arsenic (As), lead (Pb), copper (Cu), and zinc (Zn), the main soil properties, and bioassays including microbial activity and biomass, and metabolic quotient or microbial stress (qCO2). Key results Twenty years after the accident, soils with As and Pb concentrations that consistently exceeded regulatory levels had altered soil microbial biomass and functioning. Although overall rates of microbial respiration were not significantly different between polluted soils, microbial biomass was lower and qCO2 was higher in the more polluted than in less polluted soils. Conclusions The metabolic quotient and microbial biomass are sensitive indicators in the monitoring over time of soil polluted by arsenic and heavy metals. Implications Microbial indicators must be considered in the assessment of potential ecotoxicity and in the evaluation of soil biological properties influencing soil recovery in the long term.
Global well-posedness for 2D fractional inhomogeneous Navier–Stokes equations with rough density
Authors: Li Yatao , Miao Qianyun , Xue Liutang 
Published: June 2023

Abstract
This paper is concerned with the global well-posedness issue of the two-dimensional (2D) incompressible inhomogeneous Navier–Stokes equations with fractional dissipation and rough density. By establishing the

L
t
q

(

L
x
p

)

-maximal regularity estimate for the generalized Stokes system and using the Lagrangian approach, we prove the global existence and uniqueness of regular solutions for the 2D fractional inhomogeneous Navier–Stokes equations with large velocity field, provided that the initial density is sufficiently close to the constant 1 in

L
2

∩

L
∞

and in the norm of some multiplier spaces. Moreover, we also consider the associated density patch problem, and show the global persistence of

C

1
,
γ

-regularity of the density patch boundary when the piecewise jump of density is small enough.
On global dynamics of type-K competitive Kolmogorov differential systems
Authors: Hou Zhanyuan 
Published: June 2023

Abstract
This paper deals with global asymptotic behaviour of the dynamics for N-dimensional type-K competitive Kolmogorov systems of differential equations defined in the first orthant. It is known that the backward dynamics of such systems is type-K monotone. Assuming the system is dissipative and the origin is a repeller, it is proved that there exists a compact invariant set Σ which separates the basin of repulsion of the origin and the basin of repulsion of infinity and attracts all the non-trivial orbits. There are two closed sets S

H
and S

V
, their restriction to the interior of the first orthant are

(
N
−
1
)

-dimensional hypersurfaces, such that the asymptotic dynamics of the type-K system in the first orthant can be described by a system on either S

H
or S

V
: each trajectory in the interior of the first orthant is asymptotic to one in S

H
and one in S

V
. Geometric and asymptotic features of the global attractor Σ are investigated. It is proved that the partition

Σ
=

Σ
H

∪

Σ
0

∪

Σ
V

holds such that

Σ
H

∪

Σ
0

⊂

S
H

and

Σ
V

∪

Σ
0

⊂

S
V

. Thus, Σ0 contains all the ω-limit sets for all interior trajectories of any type-K subsystems and the closure

Σ
H

∪

Σ
V

‾

as a subset of Σ is invariant and the upper boundary of the basin of repulsion of the origin. This Σ has the same asymptotic feature as the modified carrying simplex for a competitive system: every nontrivial trajectory below Σ is asymptotic to one in Σ and the ω-limit set is in Σ for every other nontrivial trajectory.
Two non-perturbative α' or loop corrected string cosmological solutions*
Authors: Song Li , Chen Deyou 
Published: June 2023

Abstract
In this paper, we present two non-perturbative string cosmological solutions without curvature singularities for the bosonic gravi-dilaton system. These solutions are general in that they can straightforwardly match the perturbative solution to arbitrarily high orders in the perturbative region. The first solution includes non-perturbative

corrections based on Hohm-Zwiebach action. We then use the simple phenomenological map between the

and loop corrected theories in string cosmology to construct a non-perturbative loop corrected non-singular solution. Both solutions are non-singular everywhere. Therefore, the pre- and post-big-bangs are smoothly connected by these solutions.
Ensemble deep learning of embeddings for clustering multimodal single-cell omics data
Authors: Yu Lijia , Liu Chunlei , Yang Jean Yee Hwa , Yang Pengyi 
Published: June 2023

Abstract

Motivation
Recent advances in multimodal single-cell omics technologies enable multiple modalities of molecular attributes, such as gene expression, chromatin accessibility, and protein abundance, to be profiled simultaneously at a global level in individual cells. While the increasing availability of multiple data modalities is expected to provide a more accurate clustering and characterization of cells, the development of computational methods that are capable of extracting information embedded across data modalities is still in its infancy.

Results
We propose SnapCCESS for clustering cells by integrating data modalities in multimodal single-cell omics data using an unsupervised ensemble deep learning framework. By creating snapshots of embeddings of multimodality using variational autoencoders, SnapCCESS can be coupled with various clustering algorithms for generating consensus clustering of cells. We applied SnapCCESS with several clustering algorithms to various datasets generated from popular multimodal single-cell omics technologies. Our results demonstrate that SnapCCESS is effective and more efficient than conventional ensemble deep learning-based clustering methods and outperforms other state-of-the-art multimodal embedding generation methods in integrating data modalities for clustering cells. The improved clustering of cells from SnapCCESS will pave the way for more accurate characterization of cell identity and types, an essential step for various downstream analyses of multimodal single-cell omics data.

Availability and implementation
SnapCCESS is implemented as a Python package and is freely available from https://github.com/PYangLab/SnapCCESS under the open-source license of GPL-3. The data used in this study are publicly available (see section ‘Data availability’).
Effects of magnet shapes on total harmonic distortion and cogging torque in a permanent magnet synchronous generator for wind turbines
Authors: Kurt Erol , Dalcalı Adem 
Published: June 2023

Abstract
This paper explores and theoretically reports the effects of different magnet structures on the cogging torque and the total harmonic distortion of the output waveforms from a permanent magnet generator. The generator is a radial flux machine and four different structures are considered for the magnet arrangement in the rotor component and modelled in the Ansys/Maxwell electromagnetic simulation program. This three-phase machine exhibits different behaviours towards various magnet structures, i.e. rectangular, inclined slotted rectangular, skewed double rectangular and inclined slotted skewed double rectangular, respectively. It has been proven by finite element analysis and Fourier analysis that both the cogging and total harmonic distortion values vary significantly for all models. The cogging torque values change in the range of 89.95 to 436.75 mNm and the lowest cogging torque is measured for the inclined slotted skewed double rectangular magnet geometry, while the conventional rectangular magnet geometry yields the worst value with 436.75 mNm. Furthermore, the total harmonic distortion values varies between 1.63 and 3.55 for different magnetic orientations. While the worst total harmonic distortion value is obtained from the inclined slotted rectangular magnet, the best total harmonic distortion is acquired from the skewed double rectangular magnet. All these results will provide scientists and engineers with important information in order to obtain more efficient machines.