bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the 14‐h together relationship and financial education program for couples
Authors: Falconier Mariana K. , Foss Rebecca , Lachowicz Mark J. , Kim Jinhee 
Published: December 2022

AbstractA 14‐h version of TOGETHER, a relationship and financial education program for couples (Author, 2015), was evaluated by comparing pre‐ and post‐intervention changes in psychological distress, relationship functioning, and financial management in couples that participated in this shorter 14‐h workshop (14HW) version, in the original 20‐h workshop (20HW) version, or in a control group that received no intervention. The total sample included 649 community couples (14HW group: 320; 20HW group:182; control group: 147) recruited from the Washington, DC, metropolitan area. Self‐report data were analyzed through dyadic multilevel models to test mean differences within each group (control, 14HW, and 20HW) and across groups from pre‐intervention to post‐intervention controlling for demographic differences and baseline measurement of variables. Compared to the 20HW version, the 14HW format had lower attrition and greater participation. In addition, improvements in positive conflict management, relationship quality and satisfaction, and commitment, and reductions in negative conflict management and difficulties paying bills were not significantly different from the 20HW group, but they were significantly different from the control group. Participants reported high levels of program satisfaction. Limitations and programmatic implications, as well as the need for further evaluations of the 14HW version, are discussed.
Languages, Latin, and the Jacobean Secretariat: William Fowler's Letters in Florence and Venice
Authors: Steenson Allison L. 
Published: December 2022

AbstractThis article presents several letters by Queen Anna of Denmark that are currently preserved in the State Archives of Florence and Venice, and that were written by her foreign secretary, Master William Fowler (Edinburgh 1560–London 1612). Fowler is a well‐known presence in Scottish literary history, as a member of James' VI so‐called ‘Castalian band of poets’ in the 1580 s and a translator of Petrarch and Machiavelli into Scots. The letters penned by him and preserved in Italy, mostly postdating the move of the Scottish court to London, offer a new perspective on Fowler's career as Anna's secretary, and provide additional information on the internal workings of the Queen's secretarial establishment in London, prompting us to re‐evaluate both Fowler's professional trajectory and the nature and functioning of the Jacobean secretariat.
Golgi screen identifies the RhoGEF Solo as a novel regulator of RhoB and endocytic transport
Authors: Lungu Cristiana , Meyer Florian , Hörning Marcel , Steudle Jasmin , Braun Anja , Noll Bettina , Benz David , Fränkle Felix , Schmid Simone , Eisler Stephan A. , Olayioye Monilola A. 
Published: December 2022

AbstractThe control of intracellular membrane trafficking by Rho GTPases is central to cellular homeostasis. How specific guanine nucleotide exchange factors and GTPase‐activating proteins locally balance GTPase activation in this process is nevertheless largely unclear. By performing a microscopy‐based RNAi screen, we here identify the RhoGEF protein Solo as a functional counterplayer of DLC3, a RhoGAP protein with established roles in membrane trafficking. Biochemical, imaging and optogenetics assays further uncover Solo as a novel regulator of endosomal RhoB. Remarkably, we find that Solo and DLC3 control not only the activity, but also total protein levels of RhoB in an antagonistic manner. Together, the results of our study uncover the first functionally connected RhoGAP‐RhoGEF pair at endomembranes, placing Solo and DLC3 at the core of endocytic trafficking.
Firms persistence under sanctions:Micro‐levelevidence from Iran
Authors: Cheratian Iman , Goltabar Saleh , Farzanegan Mohammad Reza 
Published: December 2022

AbstractGiven the importance of firm strategic management in the time of crisis, this study investigates Micro, Small and Medium Enterprises (MSMEs) approaches to persistence during the international sanctions against Iran. Using data from a questionnaire of 486 firms between December 2019 and September 2020, we found that reducing research and development (R&D) expenditures, marketing costs and fixed/overhead costs and investing in information technology (IT) are positively related to firm persistence. Conversely, managerial decisions to reduce production and cut or freeze staff pay have negative and significant impacts on a firm's ability to persist during sanctions. Moreover, micro‐firms are more resilient than their small and medium counterparts. The findings also confirm that age has a significant and positive impact on firm persistence. Finally, the results show that having a business plan, access to finance and technology, owner education, export orientation, business networking and consulting services are the key drivers of withstanding pressure from sanctions.
Reduced-size Biocompatible Implantable Planar Inverted F- Antenna
Authors: Dewan Raimi , Yusri Nuradilah , Mohamad Salim Maheza Irna 
Published: December 2022

The existence of implantable antennas presents intrinsic challenges as the performance of the antenna degrades due to the high losses of body tissues. In this study, a reduced-size Planar Inverted F- Antenna (PIFA) operating at Industrial, Scientific Medical (ISM) band (2.4 GHz) is designed and optimized. The design of PIFA is modeled to study and analyze the effect on the implantable antenna by placing it within the human body model, particularly in the arm. Copper is used as the patch material and the ground layer of the proposed antenna with Rogers RO3210 as its substrates. The simulation was carried within the human fat layer which is sandwich between the skin dan muscle layer. The design optimization of the antenna for operation in a human fat layer with optimal performance was achieved by reducing the size of the antenna. The antenna exhibits good stability with the reflection coefficient, S11 ≤ -10 dB at 2.4 GHz suitable for WBAN application in the environment of the human fat layer for near field communication. Analysis performance of the antenna was conducted by the transient movement of the antenna position due to the antenna being prone to movement when it is implanted within the body. The transient movement analysis is done when the implantable antenna is moving toward the skin layer and toward the muscle layer from the initial position within the fat layer. Additionally, 1 mm, 2 mm, interface of the layer and when the antenna within another tissue layer has been set to examine the performance of the implantable antenna. Correspondingly, simulation results indicate the impact of the human body layer due to the electrical properties of the human body in terms of conductivities, permittivity, and thicknesses of the layers. This has shown the design optimization of the antenna satisfies all requirements for an implantable antenna, such as small size of 5.08 × 4.00 × 0.66 (), biocompatible, low reflection coefficient of -42 dB at 2.4 GHz, realized gain of -18 dBi suitable for near field communication, and acceptable performance in fat layer. Future work will expand on conducting Specific Absorption Rate (SAR) to study the high attenuation of the radiated power of the human body on implanted antennas for the safety reason to bring in real life where it is being performed and examined.
A Method for Evaluating Brain Deformation Under Sagittal Blunt Impacts Using a Half-Skull Human-Scale Surrogate
Authors: Hanna Michael , Ali Abdus , Klienberger Michael , Pfister Bryan J. 
Published: December 2022

Abstract
Trauma to the brain is a biomechanical problem where the initiating event is a dynamic loading (blunt, inertial, blast) to the head. To understand the relationship between the mechanical parameters of the injury and the spatial and temporal deformation patterns in the brain, there is a need to develop a reusable and adaptable experimental traumatic brain injury (TBI) model that can measure brain motion under varying parameters. In this effort, we aim to directly measure brain deformation (strain and strain rates) in different brain regions in a human head model using a drop tower. Methods: Physical head models consisting of a half, sagittal plane skull, brain, and neck were constructed and subjected to crown and frontal impacts at two impact speeds. All tests were recorded with a high-speed camera at 1000 frames per second. Motion of visual markers within brain surrogates were used to track deformations and calculate spatial strain histories in 6 brain regions of interest. Principal strains, strain rates and strain impulses were calculated and reported. Results: Higher impact velocities corresponded to higher strain values across all impact scenarios. Crown impacts were characterized by high, long duration strains distributed across the parietal, frontal and hippocampal regions whereas frontal impacts were characterized by sharply rising and falling strains primarily found in the parietal, frontal, hippocampal and occipital regions. High strain rates were associated with short durations and impulses indicating fast but short-lived strains. 2.23 m/s (5 mph) crown impacts resulted in 53% of the brain with shear strains higher than 0.15 verses 32% for frontal impacts. Conclusions: The results reveal large differences in the spatial and temporal strain responses between crown and forehead impacts. Overall, the results suggest that for the same speed, crown impact leads to higher magnitude strain patterns than a frontal impact. The data provided by this model provides unique insight into the spatial and temporal deformation patterns that have not been provided by alternate surrogate models. The model can be used to investigate how anatomical, material and loading features and parameters can affect deformation patterns in specific regions of interest in the brain.
A Phenomenological Combustion Model for Diesel–Methanol Dual-Fuel Engines
Authors: Karystinos Vasileios , Papalambrou George 
Published: December 2022

Abstract
Strict emission regulations and energy security concerns have led to various alternative concepts for the engine operation. Diesel–Methanol dual-fuel combustion solution has gained momentum over the past decade due to the fact that the technology required to convert a pure diesel engine to a dual-fuel one is mature, and methanol is a well-known substance in the industry. However, designing, tuning, and optimizing these engines require fast and reliable simulation models. For this purpose in the present study, a phenomenological combustion model, for a four-stroke port-injected methanol diesel engine, is established. The model is tuned with in-cylinder combustion data. The heat release rate is estimated via a triple-Wiebe function. Ignition delay is modeled with an Arrhenius-type expression, utilizing the methanol and diesel equivalence ratio, among other operational parameters. Other model parameters are obtained from data-driven functions, correlating the basic parameters of the combustion. The data used for model calibration and validation were generated with a computational fluid dynamic numerical model, and it was verified with data provided in the literature.
Study of Flow Patterns in a Moving Bed Reactor for Chemical Looping Combustion Based on Machine Learning Methods
Authors: Shao Yali , Agarwal Ramesh K. , Wang Xudong , Jin Baosheng 
Published: December 2022

Abstract
A tower-type moving bed can be used as the air reactor in a chemical looping combustion system because of its low-pressure drop and smooth operation. In our previous simulation, a quasi-two-dimensional numerical model was established using discrete element method (DEM) approach to investigate the velocity and solid residence time distributions in the moving bed. In this work, the flow patterns under different operating and structural parameters are studied and optimized via machine learning methods. The random Forest regression model is applied to evaluate the importance of each variable to the solid flow pattern, while the feed forward neural network is applied to buildup a high-accuracy model to predict the solid axial velocity in the moving bed without the requirement to understand the physical mechanisms. Results show that the solid mass flux has the least impact on the mass flow index, while the axial position has the dominant influence and what comes next is the wedge angle, reactor angle, and ratio of down-comer diameter to reactor diameter. Further, based on the established feed forward neural network model, relation between the effective transition position and structural parameters of the moving bed is built, which provides valuable guidance for optimization of the reactor configuration.
Teeth Mold Point Cloud Completion Via Data Augmentation and Hybrid RL-GAN
Authors: Toscano Juan Diego , Zuniga-Navarrete Christian , Siu Wilson David Jo , Segura Luis Javier , Sun Hongyue 
Published: December 2022

Abstract
Teeth scans are essential for many applications in orthodontics, where the teeth structures are virtualized to facilitate the design and fabrication of the prosthetic piece. Nevertheless, due to the limitations caused by factors such as viewing angles, occlusions, and sensor resolution, the 3D scanned point clouds (PCs) could be noisy or incomplete. Hence, there is a critical need to enhance the quality of the teeth PCs to ensure a suitable dental treatment. Toward this end, we propose a systematic framework including a two-step data augmentation (DA) technique to augment the limited teeth PCs and a hybrid deep learning (DL) method to complete the incomplete PCs. For the two-step DA, we first mirror and combine the PCs based on the bilateral symmetry of the human teeth and then augment the PCs based on an iterative generative adversarial network (GAN). Two filters are designed to avoid the outlier and duplicated PCs during the DA. For the hybrid DL, we first use a deep autoencoder (AE) to represent the PCs. Then, we propose a hybrid approach that selects the best completion to the teeth PCs from AE and a reinforcement learning (RL) agent-controlled GAN. Ablation study is performed to analyze each component’s contribution. We compared our method with other benchmark methods including point cloud network (PCN), cascaded refinement network (CRN), and variational relational point completion network (VRC-Net), and demonstrated that the proposed framework is suitable for completing teeth PCs with good accuracy over different scenarios.
Formation of an Anti-Chinese Consensus among US “Think Tanks”: From D. Trump to J. Biden
Authors: Kochegurov D. A. 
Published: December 2022

Abstract
This article is dedicated to the factor of think tanks in the US foreign policy towards China. A rapid change in attitudes to China within the US political elite is recorded, which indirectly reflects the influence of think tanks on it. Based on the analysis of reports of leading think tanks, the evolution of their views on China is demonstrated. The main conclusion is that the think tanks support an anti-Chinese consensus, strengthened during the presidency of D. Trump, and advocate stricter measures against China. Overall, the American expert community sticks to the same approaches to China and gives approximately similar recommendations to the US government.
The Infrastructure Competition between the United States and China in Developing Countries
Authors: Boreyko A. V. , Vernigora A. A. , Kislitsyn S. V. 
Published: December 2022

Abstract
A brief comparative analysis of US and Chinese infrastructure projects is provided. The world-system approach, which sets the objective possibilities and limitations of the strategies of the United States and China as interconnected parts of the world economy and politics, was chosen as the methodological basis. The first part of this article describes the world-system approach, as well as the position of the People’s Republic of China in the modern system of international relations. The second part is devoted to the Chinese Belt and Road Initiative. The third part provides an analysis of counterinitiatives put forward by the United States.
Modeling of Gold Adsorption by the Surface of Defect Graphene
Authors: Asadov M. M. , Mammadova S. O. , Guseinova S. S. , Mustafaeva S. N. , Lukichev V. F. 
Published: December 2022

Abstract
The results of the theoretical investigation of the local structural changes and adsorption characteristics of the graphene (GP) surface in the presence of a vacancy + Auads adatom complex are presented. Based on the density functional theory (DFT), the adsorption properties of Auads at the surface of GP supercells containing 50 carbon atoms with vacancies $$({\text{GP}}\left\langle {{\text{A}}{{{\text{u}}}_{{{\text{ads}}}}}} \right\rangle ,{\text{ G}}{{{\text{P}}}_{{\text{V}}}}\left\langle {{\text{A}}{{{\text{u}}}_{{{\text{ads}}}}}} \right\rangle $$) are calculated. The most stable configuration of $${\text{G}}{{{\text{P}}}_{{\text{V}}}}\left\langle {{\text{A}}{{{\text{u}}}_{{{\text{ads}}}}}} \right\rangle $$ supercells with a vacancy + Auads adatom complex is determined. The effect that an Auads adatom has on the band structure and local magnetic moment in $${\text{G}}{{{\text{P}}}_{{\text{V}}}}\left\langle {{\text{A}}{{{\text{u}}}_{{{\text{ads}}}}}} \right\rangle $$ is calculated. The data are analyzed based on the equilibrium atomic configuration $${\text{G}}{{{\text{P}}}_{{\text{V}}}}\left\langle {{\text{A}}{{{\text{u}}}_{{{\text{ads}}}}}} \right\rangle $$, local density of electronic states, and spin polarization. The calculations are made using the exchange-correlation functional in a local electron-spin density approximation (LSDA).
Looking for Tumor Specific Promoters In Silico
Authors: Kashkin K. N. 
Published: December 2022

Abstract—Previously we demonstrated the tumor-specific activity of several human native and chimeric promoters. Here we have analyzed the DNA sequences of experimentally tested tumor-specific promoters for the presence of recognition matrices of transcription factors and for de novo motif discovery. CiiiDER and MEME Suite software tools were used for this purpose. A number of transcription factor matrices have been identified, which are present more often in tumor-specific promoters than in the promoters of housekeeping genes. New promoter–TF regulatory relationships have been predicted by pathway analysis. A motif of 44 bp characteristic of tumor-specific promoters but not of housekeeping gene promoters has been discovered. The search through 29 598 human promoters from the EPDnew promoter database has revealed a series of promoters with this motif, their genes being associated with unfavorable prognoses in cancer. We suppose that some of these promoters may possess a tumor specific activity. In addition, a close similarity in nucleotide motifs between the promoters of theBIRC5andMCM2genes has been shown. The results of the study may contribute to understanding the peculiarities of gene transcription in tumors, as well as to searching for native tumor-specific promoters or creating artificial ones for cancer gene therapy, as well as in the development of anticancer vaccines.
Riboflavin as One of Possible Components of Keroplatus (Insecta: Diptera: Keroplatidae) Fungus Gnat Bioluminescence
Authors: Kotlobay A. A. , Dubinnyi M. A. , Polevoi A. V. , Kovalchuk S. I. , Kaskova Z. M. 
Published: December 2022

Abstract
Keroplatus is a genus of fungus gnats family Keroplatidae (Diptera, Bibionomorpha). Larvae of some species emit a constant blue light from the body. The bioluminescence of Keroplatidae is one of the least studied of all terrestrial insects and very few facts are known to date of its biology and biochemistry. Here we report the high level of riboflavin in Keroplatus testaceus larvae, a fluorescent compound that might be relative to its bioluminescent system. We suppose that riboflavin may play a role in Keroplatus spp. bioluminescence.
Cumulative risk factors contributing to hearing loss in preterm infants
Authors: Chant Kathy , Bitner-Glindzicz Maria , Marlow Neil 
Published: December 2022

ObjectiveTo investigate individual and concomitant risk factors for hearing loss during neonatal care.DesignCase–control study.SettingCommunity.Population237 children born <32 weeks of gestation; 57 with hearing loss and 180 with normal hearing born between 2009 and 2013, matched for sex, gestation and year of birth.Main outcome measuresData were abstracted from clinical records for overall risk factors daily for the first 14 days and then weekly until discharge from neonatal care. All infants were screened for the presence of m.1555A>G mutation.ResultsChildren with hearing loss had lower birth weight for gestational age, more severe neonatal illness, with increased exposure to inotrope, steroid, gentamicin, vancomycin and furosemide, and more frequent physiological risk, elevated bilirubin and creatinine levels and acidosis, but no index child was found to have the m.1555A>G mutation, compared with one among controls. The duration of gentamicin, vancomycin or furosemide administration in the first 14 days was associated with impaired hearing (OR per dose: 1.25; 95% CI 1.14 to 1.38). Multivariate analyses revealed independent risks for hearing loss for each day when there was physiological risk (OR per day 1.15 (1.05 to 1.27)) and each day of medication exposure (OR 1.23 (1.1 to 1.37)).ConclusionAlthough the relative contribution of underlying illness and medication cannot be identified by this study, cumulative use of ototoxic medication and the presence of physiologic risk factors independently increased the likelihood of hearing loss, warranting close monitoring of coincident therapy throughout neonatal critical care.
Longitudinal change of peripapillary vessel density and retinal nerve fibre layer thickness in normal tension and primary angle closure glaucoma
Authors: Chan Poemen PuiMan , Shen Ruyue , Cheung Carol Y , Ling Anni , Yu Marco , Pang Chi-Pui , Tham Clement C 
Published: December 2022

PurposeTo compare the rates of peripapillary vessel density (pVD) loss and retinal nerve fibre layer (RNFL) thinning in normal tension glaucoma (NTG) and primary angle closure glaucoma (PACG).MethodsBaseline age and severity-matched NTG and PACG eyes (75 eyes of 60 patients for each subtype) were observed longitudinally. All participants’ RNFL thickness were measured by optical coherence tomography (OCT); pVD were measured by swept-source OCT-angiography (OCT-A) and quantified by a customised MATLAB program. The rate of pVD loss and RNFL thinning were estimated by linear mixed-effects models.ResultsNTG eyes had significant pVD loss in all sectors (p≤0.05) while PACG eyes’ pVD loss was borderline significant in the global region (p=0.05). Significant RNFL thinning was detected in the inferotemporal and superonasal regions of both groups, and the superotemporal region in the NTG group (all p≤0.02). NTG had faster rate of pVD loss in the global (difference (95% CI) −1.08 (−1.90 to –0.27) %/year), temporal (−1.57 (−2.91 to –0.23) %/year) and superotemporal (−1.46 (−2.65 to –0.26) %/year) regions than PACG (all p≤0.02), without significant difference of the rate of RNFL thinning. A lower baseline mean deviation (MD) was associated with a faster rate of global pVD loss, while a lower baseline pVD was associated with a slower rate of global pVD loss in multivariable analyses (both p≤0.04).ConclusionsNTG had more extensive and faster rate of pVD loss than PACG. Baseline global pVD and MD were independently associated with the rate of pVD loss in NTG.