bluuebunny/crossref_metadata_2025_split huggingface dataset:
Large area MoS2 thin film growth by direct sulfurization
Authors: Yang Kai-Yao Yang , Nguyen Hong-Thai , Tsao Yu-Ming , Artemkina Sofya B. , Fedorov Vladimir E. , Huang Chien-Wei , Wang Hsiang-Chen 
Published: March 2023

Abstract
In this study, we present the growth of monolayer MoS2 (molybdenum disulfide) film. Mo (molybdenum) film was formed on a sapphire substrate through e-beam evaporation, and triangular MoS2 film was grown by direct sulfurization. First, the growth of MoS2 was observed under an optical microscope. The number of MoS2 layers was analyzed by Raman spectrum, atomic force microscope (AFM), and photoluminescence spectroscopy (PL) measurement. Different sapphire substrate regions have different growth conditions of MoS2. The growth of MoS2 is optimized by controlling the amount and location of precursors, adjusting the appropriate growing temperature and time, and establishing proper ventilation. Experimental results show the successful growth of a large-area single-layer MoS2 on a sapphire substrate through direct sulfurization under a suitable environment. The thickness of the MoS2 film determined by AFM measurement is about 0.73 nm. The peak difference between the Raman measurement shift of 386 and 405 cm-1 is 19.1 cm-1, and the peak of PL measurement is about 677 nm, which is converted into energy of 1.83 eV, which is the size of the direct energy gap of the MoS2 thin film. The results verify the distribution of the number of grown layers. Based on the observation of the optical microscope (OM) images, MoS2 continuously grows from a single layer of discretely distributed triangular single-crystal grains into a single-layer large-area MoS2 film. This work provides a reference for growing MoS2 in a large area. We expect to apply this structure to various heterojunctions, sensors, solar cells, and thin-film transistors.
Klebsiella pneumoniae invasive syndrome with liver abscess and purulent meningitis presenting as acute hemiplegia: a case report
Authors: Chang Yu , Chen Jiann Hwa , Chen Wei Lung , Chung Jui Yuan 
Published: March 2023

Abstract
Background
Klebsiella pneumoniae can infect a variety of sites, with the risk of infection being higher in the immunocompromised state such as diabetes mellitus. A distinct invasive syndrome has been detected mostly in Southeast Asia in the past two decades. A common destructive complication is pyogenic liver abscess that can be complicated by metastatic endophthalmitis as well as the involvement of the central nervous system, causing purulent meningitis or brain abscess.
Case presentation
We report a rare case of an invasive liver abscess caused by K. pneumoniae, with metastatic infections of meninges. A 68-year-old man with a past medical history of type 2 diabetes mellitus presented to our emergency department as sepsis. Sudden disturbed consciousness was noticed with presentation of acute hemiplegia and gaze preference mimicking a cerebrovascular accident.
Conclusions
The above case adds to the scarce literature on K. pneumoniae invasive syndrome with liver abscess and purulent meningitis. K. pneumoniae is a rare cause of meningitis and should raise suspicions about the disease in febrile individuals. In particular, Asian patients with diabetes presenting with sepsis and hemiplegia prompt a more thorough evaluation with aggressive treatment.
The Influence of Pandemic-Related Worries During Pregnancy on Child Development at 12 Months
Authors: White Lauren K. , Himes Megan M. , Waller Rebecca , Njoroge Wanjikũ F.M. , Chaiyachati Barbara H. , Barzilay Ran , Kornfield Sara L. , Burris Heather H. , Seidlitz Jakob , Parish-Morris Julia , Brady Rebecca G. , Gerstein Emily D. , Laney Nina , Gur Raquel E. , Duncan Andrea 
Published: March 2023

Abstract
The COVID-19 pandemic has been linked to increased risk for perinatal anxiety and depression among parents, as well as negative consequences for child development. Less is known about how worries arising from the pandemic during pregnancy are related to later child development, nor if resilience factors buffer negative consequences. The current study addresses this question in a prospective longitudinal design. Data was collected from a sub-study (n = 184) of a longitudinal study of pregnant individuals (total n = 1,173). During pregnancy (April 17-July 8, 2020) and the early postpartum period (August 11, 2020-March 2, 2021), participants completed online surveys. At 12 months postpartum (June 17, 2021-March 23, 2022), participants completed online surveys and a virtual laboratory visit, which included parent-child interaction tasks. We found more pregnancy-specific pandemic worries were prospectively related to lower levels of child socioemotional development based on parent report (B=-1.13, SE = .43, p = .007) and observer ratings (B=-0.13, SE = .07, p = .045), but not to parent-reported general developmental milestones. Parental emotion regulation in the early postpartum period moderated the association between pregnancy-specific pandemic worries and child socioemotional development such that pregnancy-specific pandemic worries did not related to worse child socioemotional development among parents with high (B=-.02, SE = .10, t=-.14, p = .89) levels of emotion regulation. Findings suggest the negative consequences of parental worry and distress during pregnancy on the early socioemotional development of children in the context of the COVID-19 pandemic. Results highlight that parental emotion regulation may represent a target for intervention to promote parental resilience and support optimized child development.
Quantitative analysis of security metrics on SME cyber network
Authors: Wang Sufen , Yu Haosheng , Yu Xiaochuan 
Published: March 2023

Abstract

To evaluating and measure the security of an enterprise or a public network is an important step for the security of network itself and defence outside threat. So many of the current research in cyber analysis were focusing on it. In the field of network security, others have used CVSS, security metrics and attack graph to evaluate software systems or automation systems. However, no article has used these methods to study the SME(small and medium-sized enterprises) network, and there is no complete set of methods to evaluate the topology of the SME network, as well as which security metrics to use to evaluate the network and which metrics are the most important, there is no conclusion at present. Therefore, this paper will use the research results mentioned above to focus on solving this problem. In this paper, first of all, we tried different network constructing technique, and used attack graph to generate the absorbing Markov chain model, then calculated the security metrics base on CVSS. Finally, we analyzed the meaning of different metrics and the score of each of them and gave the suggestion for improvement for this network. Finally, we found that when faced with the network topology of small and medium-sized enterprises, the various metrics are only relatively important, and there are no completely unimportant metrics. Therefore, security engineers need to model the topology structure of the network and use tools to generate the attack graph, calculate the security metrics and make adjustments when building the network. Security engineers need to comprehensively consider various metrics to adjust and analyse the network to determine the security of the network, instead of adjusting the network after it's built.
Projectability disentanglement for accurate and automated electronic-structure Hamiltonians
Authors: Qiao Junfeng , Pizzi Giovanni , Marzari Nicola 
Published: March 2023

Abstract
Maximally-localized Wannier functions (MLWFs) are a powerful and broadly used tool to characterize the electronic structure of materials, from chemical bonding to dielectric response to topological properties. Most generally, one can construct MLWFs that describe isolated band manifolds, e.g. for the valence bands of insulators, or entangled band manifolds, e.g. in metals or describing both the valence and the conduction manifolds in insulators. Obtaining MLWFs that describe a target manifold accurately and with the most compact representation often requires chemical intuition and trial and error, a challenging step even for experienced researchers and a roadblock for automated high-throughput calculations. Here, we present a very natural and powerful approach that provides automatically MLWFs spanning the occupied bands and their natural complement for the empty states, resulting in Wannier Hamiltonian models that provide a tight-binding picture of optimized atomic orbitals in crystals. Key to the success of the algorithm is the introduction of a projectability measure for each Bloch state onto atomic orbitals (here, chosen from the pseudopotential projectors) that determines if that state should be kept identically, discarded, or mixed into a disentangling algorithm. We showcase the accuracy of our method by comparing a reference test set of 200 materials against the selected-columns-of-the-density-matrix algorithm, and its reliability by constructing Wannier Hamiltonians for 21737 materials from the Materials Cloud.
Dimension-agnostic and granularity-based spatially variable gene identification
Authors: Wang Juexin , Li Jinpu , Kramer Skyler , Su Li , Chang Yuzhou , Xu Chunhui , Ma Qin , Xu Dong 
Published: March 2023

Abstract
Identifying spatially variable genes (SVGs) is critical in linking molecular cell functions with tissue phenotypes. Spatially resolved transcriptomics captures cellular-level gene expression with corresponding spatial coordinates in two or three dimensions and can be used to infer SVGs effectively. However, current computational methods may not achieve reliable results and often cannot handle three-dimensional spatial transcriptomic data. Here we introduce BSP (big-small patch), a spatial granularity-guided and non-parametric model to identify SVGs from two or three-dimensional spatial transcriptomics data in a fast and robust manner. This new method has been extensively tested in simulations, demonstrating superior accuracy, robustness, and high efficiency. BSP is further validated by substantiated biological discoveries in cancer, neural science, rheumatoid arthritis, and kidney studies with various types of spatial transcriptomics technologies.
The effects of water quality parameters, water level changes, and mixing on zooplankton community daynamics in a tropical high-mountain Lake Ardibo, Ethiopia.
Authors: Mohammed Adem , Mengistou Seyoum , Fetahi Tadesse 
Published: March 2023

Abstract
The diversity and abundance of zooplankton community are affected by the change in physicochemical parameters, trophic interactions, water quality, water level changes, and periodic mixing. The influence of water level changes and periodic mixing on zooplankton distribution and abundance was seasonally studied for Lake Ardibo from October 2020 to September 2021 collected from 3 sites. Results on the physicochemical variables indicated that all variables, except turbidity, varied significantly (p < 0.05) in all sampling seasons. A total of 36 zooplankton species were recorded, comprising 18 rotifers, 11 cladocerans, and 7 cyclopoid copepods. Zooplankton abundance significantly varied seasonally with peak abundance (4232.13 ind. L−1) recorded in the dry season and lowest numbers (402.42 ind. L−1) during the long rainy period. Redundancy analysis (RDA) results indicated that dissolved oxygen, NH3-N, NO3-N and conductivity were the most significant driving forces for the seasonal successions in the abundance and distribution of zooplankton communities whereas turbidity has a minor role. Cyclopoid copepod abundance was significantly (p<0.05) higher in the dry season, which could be correlated with the partial mixing (atelomixis) phenomenon that occurred during the dry period.
In-vitro fatigue and fracture testing of temporary materials from different manufacturing processes in implant-supported anterior crowns
Authors: Bein Laila , Rauch Angelika , Schmidt Michael , Rosentritt Martin 
Published: March 2023

Abstract
Objectives

The aim of this study was to investigate the in-vitro fatigue and fracture force of temporary implant-supported anterior crowns with different abutment conicity, with/without a screw-channel, and with different type of fabrication.

Materials and Methods

192 implant supported crowns were manufactured (4° or 8° conicity; with/without screw channel) form 6 materials (n = 8; 2x additive, 3x subtractive, 1x cartridge; reference). Crowns were temporary cemented, screw-channels were closed (Teflon, resin composite) and stored in water (37°C; 10 days) before thermal cycling and mechanical loading. Fracture force was determined, and failures were analyzed. Statistics: Kolmogorov-Smirnov, ANOVA; Bonferroni; Kaplan-Meier; Log-Rank; α = 0.05.

Results

Failure during TCML varied between 0 failures and total failure. Mean survival time was between 1,8 ± 1,6 x105 cycles and 4,8 ± 0 x105 cycles. Highest impact on survival presented type of material (η2 = 0.072, p < .001). Fracture values varied between 265.7 N and 628.6 N. Highest impact on fracture force was found for type of material (η2 = 0.084, p < .001).

Conclusion

Additively and subtractively manufactured crowns had similar or even higher survival rates and fracture forces. The choice of material is decisive for the survival time and fracture force. The fracture force was higher with smaller conicity. Fatigue testing was only affected by manually inserted screw-channels in cartridge-made crowns.

Clinical relevance

The highest stability has been shown for crowns with a low abutment conicity, which are manufactured additively and subtractively. In cartridge-fabricated crowns, manually inserted screw channels have negative effects.
Determination of Natural and Anthropogenic Caused Forest Fire Susceptibilities Threatening the Pine Honey Production and Marchalina Hellenica Population
Authors: SARI Fatih 
Published: March 2023

Abstract

Every year, an average of 250 forest fires occur in Turkey and 10,000 hectares of forest area are destroyed by natural and human-caused forest fires. Moreover, 90% of the world's pine honey production is produced in red pine (Pinus brutia) forests infested withMarchalina Hellenica. However, the limited production sites for pine honey are destroyed by forest fires and most of the sites overlap with the regions where susceptibility to forest fires is highest. In particular, in 2021 and 2022, pine honey production in Muğla province decreased by half due to the large forest fires. In this study, susceptibility to forest fires caused by lightning, cigarette butts, stubble burning and power lines was modeled separately for all pine honey production sites via MaxEnt. Each risk map overlapped with theMarchalina Hellenicadistribution map to determine which fire causes put each region at risk. When the results were examined, 1357.6 km2(56.6%) of the 2396 km2pine honey production site was found to be at risk from lightning-caused forest fires. For human-caused forest fires, 184.7 km2(7.7%) were at risk from power lines and 136 km2(5.7%) from stubble fires. 116.8 km2of pine honey production areas are threatened by forest fires caused by cigarette butts, which is the least threatening cause in the study area. The findings obtained in this study provide important information on the measures that can be taken against forest fires and on the planning of early intervention procedures to protect pine honey production areas.
Non-HDL Cholesterol and Remnant Cholesterol Predict Different Components of the Metabolic Syndrome in Type 2 Diabetes Mellitus Patients in a Regional Hospital
Authors: Nsiah Paul , Acquah Samuel , Bockarie Ansumana Sandy , Adjei George , Aniakwaa-Bonsu Ebenezer , Togbe Eliezer , Ossei Paul Poku Sampene , Debrah Oksana 
Published: March 2023

Abstract
Type 2 diabetes mellitus (T2DM) continues to increase in incidence within the ageing population of the globe. Patients with T2DM have a 2-4 times higher risk of experiencing an adverse cardiovascular event than their non-diabetic counterparts. Total cholesterol, low-density lipoprotein (LDL), triglycerides and high-density lipoprotein (HDL) cholesterol levels have been the routine biomarkers for lipid-based cardiovascular disease diagnostic and prognostic decisions in clinical practice. Recent evidence elsewhere suggests remnant cholesterol (RC) and Non-HDL cholesterol (Non-HDL-c) can serve as biomarkers with a higher predictive power for cardiovascular disease (CVD) than the aforementioned routine ones. In our context, there is limited information on the suitability and superiority of these emerging biomarkers for the assessment of CVD risk in T2DM. The current study therefore sought to examine the relationship between RC and non-HDL-c for predicting CVD in T2DM patients in the context of the obesity paradox. Apart from adiponectin level which was lower (P < 0.05), overweight/obese respondents exhibited higher (P < 0.05) mean levels for all the measured indices. Insulin resistance was independently predicted (R2 = 0.951; adjusted R2 = 0.951; P < 0.001) by RC, duration and fasting plasma glucose. However, Non-HDL-c predicted CVD risk (AOR = 4.31; P <0.001), hypertension (AOR = 2.24; P <0.001), resistin (AOR = 2.14; P <0.001) and adiponectin (AOR = -2.24; P <0.001) levels. Our findings point to different mechanisms by which RC and non-HDL-c contribute to the development of CVD.
Prognostic nomogram for predicting overall survival in patients with medullary carcinoma of the colon
Authors: Zhou Huabin , Chen Jiayi , Liu Yulan , Zheng Chao , Li Min 
Published: March 2023

Abstract
Objective Medullary carcinoma (MC) of the colon is a rare malignancy, and there is no survival prediction for this tumor. This study aimed to construct a nomogram to predict the overall survival (OS) of patients with MC
Methods We included 276 patients with a pathological diagnosis of MC between 2010 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. The random forest method and multivariate Cox proportional risk model were used to identify independent prognostic factors for MC. The consistency index (C-index), the receiver operating characteristic (ROC) curve, and the calibration curve determined the nomogram's predictive accuracy and discriminative ability. Decision curve analysis (DCA) was used to evaluate the net clinical benefit of the nomogram.
Results The Cox regression analysis showed that age, N-stage, M-stage, tumor size, and chemotherapy were associated with OS of MC. Based on the identified independent factors, we constructed a nomogram for predicting OS in MC patients. The C-index value of the nomogram for predicting OS was superior to the TNM staging system (0.705 vs. 0.673). ROC and calibration curves showed the nomogram's good discriminatory and calibration ability. DCA showed that the nomogram had a more significant net clinical benefit than the TNM staging system.
Conclusion We developed a nomogram to accurately predict MC patients’ survival. The nomogram had excellent predictive efficacy and could help clinicians to assess the prognosis of MC patients.
Deep Spatial and Channel Sliding Attention Patches for Pose-invariant Facial Expression Recognition
Authors: Liu Chaoji , Liu Xingqiao , Chen Chong , Zhou Kang 
Published: March 2023

Abstract
Pose-invariant facial expression recognition (FER) is an import yet challenging research topics in computer vision, especially with the introduction of pose change and self-occlusion, which makes the recognition results changing from one observational angle to another. In this paper, a newly deep sliding patch combined with spatial-channel attention network is designed for pose-invariant FER. The new network architecture consists of three main components, namely, the sliding patch (SP) model, deep channel squeeze-and-extraction model (SE) and spatial sliding patch attention (SPA) model. The sliding patch (SP) model is devised to find the best patch size and stride for pose-invariant FER. The sliding patch attention (SPA) model can guide the network pay more attention to the current local patches and adaptively estimate the significance of each local sliding patch. The squeeze-and-extraction (SE) operation was implemented prior to SPA model whose aims to shrink the number of feature maps and provide more salient semantic feature maps for SPA model. Extensive experiments were implemented on four pose robust expression datasets, namely, BU3DFEP1, BU3DFEP2, Multi-PIE, Pose-RAFDB, Pose-Affect, and the experimental results indicated the validity and feasibility of SPA-SE network.
CYP2E1 overexpression protects COS-7 cancer cells against ferroptosis
Authors: Caro Andres A. , Barrett Daniel , Garcia Cristobal , Northington Weston , Pinkney Jamya , Shuja Rayan , Stovall Hannah 
Published: March 2023

Abstract
Ferroptosis is a recently described form of regulated cell death initiated by the iron-mediated one-electron reduction of lipid hydroperoxides (LOOH). Cytochrome P450 2E1 (CYP2E1) induction, a consequence of genetic polymorphisms or/and gene induction by xenobiotics, may promote ferroptosis by contributing to the cellular pool of LOOH. However, CYP2E1 induction also increases the transcription of anti-ferroptotic genes that regulate the activity of glutathione peroxidase 4 (GPX4), the main ferroptosis inhibitor. Based on the above, we hypothesize that the impact of CYP2E1 induction on ferroptosis depends on the balance between pro- and anti-ferroptotic pathways triggered by CYP2E1. To test our hypothesis, ferroptosis was induced with class 2 inducers (RSL-3 or ML-162) in mammalian COS-7 cancer cells that don’t express CYP2E1 (Mock cells), and in cells engineered to express human CYP2E1 (WT cells), and the impact on viability, lipid peroxidation and GPX4 was assessed. CYP2E1 overexpression protected COS-7 cancer cells against ferroptosis, evidenced by an increase in the IC50 and a decrease in lipid ROS in WT versus Mock cells after exposure to class 2 inducers. CYP2E1 overexpression produced an 80% increase in the levels of the GPX4 substrate glutathione (GSH). Increasing GSH in Mock cells protected cells against ferroptosis by ML-162. Depleting GSH, or inhibiting Nrf2 in WT cells reverted the protective effect mediated by CYP2E1, causing a decrease in the IC50 and an increase in lipid ROS after exposure to ML-162. These results show that CYP2E1 overexpression protects COS-7 cancer cells against ferroptosis, an effect probably mediated by Nrf2-dependent GSH induction.
Sliding method for equations with uniformly parabolic fractional operators
Authors: Tang Yanjuan 
Published: March 2023

Abstract
In this paper, we obtain the one-dimensional symmetry and monotonicity of entire solutions for equations involving uniformly parabolic fractional operators via a sliding method. We first establish a generalized weighted average inequality and the maximum principle in unbounded domains, then using the sliding method, we derive the symmetry and monotonicity of entire solutions to fractional uniformly parabolic equations in the whole space.
MSC 2020: 35B50, 35R11, 35K60.