Miracle-dz/UniFAR-FTUs huggingface dataset:
Parental Phubbing and Children’s Social Withdrawal and Aggression: A Moderated Mediation Model of Parenting Behaviors and Parents’ Gender

The present study sought to examine whether parental phubbing was significantly related to children’s social withdrawal and aggression, and determine whether positive and negative parenting behaviors mediated this association. We further examined whether parents’ gender moderated the direct and indirect relationships between parental phubbing and children’s social withdrawal and aggression. The participants included 465 Chinese fathers and mothers from different families, and each father or mother had one child from preschool and early school aged 4–10 years. They completed the measures regarding their experience with parental phubbing, positive and negative parenting behaviors, and children’s social withdrawal and aggression. Results showed that parental phubbing was positively related to children’s social withdrawal and aggression. Positive and negative parenting behaviors significantly mediated the associations between parental phubbing and children’s social withdrawal and aggression. Furthermore, parents’ gender moderated the relationships between parental phubbing and children’s social withdrawal and aggression. Specifically, in the mediating model of positive parenting behavior, the pathways from parental phubbing to children’s social withdrawal and parental phubbing to children’s aggression were significantly different. In the mediating model of negative behavior, the pathway from negative parenting behavior to children’s social withdrawal was significantly different.
Association of Serum Urotensin-II Levels with Insulin Resistance and Endothelin-I in Type-II Diabetes Mellitus Patients

Urotensin-II (UII), a pluripotent vasoactive cyclic peptide, exhibits the progression of cardiovascular diseases and the glucose metabolic disorder of insulin resistance. Type 2 Diabetes Mellitus (T2DM) is entirely associated with insulin resistance. This study aimed to demonstrate the association of UII with insulin resistance in diabetic and non-diabetic subjects. A total of 73 male and female subjects aged 40-60 years were recruited in this case-control study. They included 35 non- diabetic subjects with a body mass index of (BMI) ≤ 25 and 38 patients with Diabetes Mellitus and BMI ≥ 25. UII levels were assessed beside other vasoactive and clinical parameters. The results revealed that patients with T2DM had elevated UII and Endothelin-I (ET-I) levels, along with positive correlations with the insulin-resistance marker of Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), blood pressure (BP), fasting blood glucose (FBG), hemoglobin A1c (HbA1C), and asymmetric dimethylarginine (ADMA). Results from stepwise multiple regressions indicated that UII correlated positively with the increases in the levels of serum cholesterol, ET-I, urea, ADMA, and FBG. This study concludes that the increase in UII level has a positive relation with insulin-resistance and the increase in ET-I level. However, UII could inhibit glucose-induced insulin secretion and, hence, can be utilized as a marker for T2DM and its complications through inflammatory microangiopathy.
Identification of Bearing Dynamic Parameters and Unbalanced Forces in a Flexible Rotor System Supported by Oil-Film Bearings and Active Magnetic Devices

As the rotational speed of conventional rotor systems supported by oil-film bearings has increased, vibration problems such as oil whip and oil whirl have become apparent. Our group proposed the use of active magnetic bearings (AMBs)/bearingless motors (BELMs) to stabilize these systems. In such a system, measuring the variable stiffness and damping of the oil-film bearings, the current-force and displacement-force parameters of the AMBs/BELMs, and the residual unbalanced force is necessary to satisfy the stability of the rotor system. These parameters are the foundation for the rotor dynamics analysis and optimization of the control strategy. In this paper, we propose a method to simultaneously identify the parameters of the oil-film bearings and AMBs/BELMs along with the residual unbalanced forces during the unbalanced vibration of the rotor. The proposed method requires independent rotor responses and control currents to form a regression equation to estimate all the unknown parameters. Independent rotor responses are realized by changing the PID control parameters of the AMBs/BELMs. Numerical simulation results show that the proposed method is highly accurate and has good robustness to measurement noise. The experimental results show that the unknown parameters identified by the responses generated by different controller parameters are similar. To confirm that the identification results are correct, verification experiments were carried out. The vibration amplitude of the rotor was successfully suppressed by applying a force to the rotor in the opposite direction to the residual unbalanced force. The frequency response characteristics and unbalanced responses of the rotor estimated by the values of the parameters identified show good consistency with the measured results.
Diagnosis of Faults Induced by Radiation and Circuit-Level Design Mitigation Techniques: Experience from VCO and High-Speed Driver CMOS ICs Case Studies

In this paper, we discuss the diagnosis of particle-induced failures in harsh environments such as space and high-energy physics. To address these effects, simulation-before-test and simulation-after-test can be the key points in choosing which radiation hardening by design (RHBD) techniques can be implemented to mitigate or prevent failures. Despite the fact that total ionising dose (TID) has slow but destructive effects overtime on silicon devices, single-event effect (SEE) impulsively disrupts the typical operation of a circuit with temporary or permanent effects. The recently released SpaceFibre protocol drives the current requirements for space applications, and the future upgrade of the LHC experiment scheduled by CERN will require a redesign of the electronic front-end to sustain a radiation level up to the 1 Grad TID level. The effects that these two environments have on two different architectures for high-radiation and high-frequency data transmission are reported, and the efficiency of the mitigation techniques implemented, based on simulations and measurement tests, in the commercial 65 nm technology, are exploited.
Interference suppression in bilingualism: Stimulus-Stimulus vs. Stimulus-Response conflict

Abstract Studies examining the potential effects of bilingualism on interference suppression show inconsistent results. Our study approaches this topic by distinguishing two potential subcomponents within interference suppression (i.e., Stimulus-Stimulus and Stimulus-Response conflict). We investigated the two subcomponents through their operationalisation in different tasks and examined the role of language proficiency in modulating it. A sample of 111 young adult participants performed four non-linguistic cognitive tasks measuring both visual and auditory domains of cognitive control. Bilinguals outperformed monolinguals in tasks involving Stimulus-Stimulus conflict, but showed comparable performance in tasks involving Stimulus-Response conflict. Specific effects of language proficiency on cognitive control were observed: group differences in auditory inhibition and visual orienting were only observed between high-proficient bilinguals and monolinguals. Taken together, types of conflicts involved in interference tasks and language proficiency could differentially affect performance in monolinguals and bilinguals.
Automated Optical Inspection Method for Light-Emitting Diode Defect Detection Using Unsupervised Generative Adversarial Neural Network

Many automated optical inspection (AOI) companies use supervised object detection networks to inspect items, a technique which expends tremendous time and energy to mark defectives. Therefore, we propose an AOI system which uses an unsupervised learning network as the base algorithm to simultaneously generate anomaly alerts and reduce labeling costs. This AOI system works by deploying the GANomaly neural network and the supervised network to the manufacturing system. To improve the ability to distinguish anomaly items from normal items in industry and enhance the overall performance of the manufacturing process, the system uses the structural similarity index (SSIM) as part of the loss function as well as the scoring parameters. Thus, the proposed system will achieve the requirements of smart factories in the future (Industry 4.0).
Formation of MspA channel on Nanopore-Spanning Lipid Bilayer

Biological nanopores are novel and versatile single-molecule sensor for individual label-free biopolymer detection and characterization. However, their studies and applications require a stable lipid bilayer to maintain protein function. Herein, we provided a method for producing lipid bilayers across nanopore array on a silicon nitride substrate by vesicle technique and MspA was embedded into lipid bilayer membrane formed ion channel. The formation process and stability of lipid bilayer membrane and translocation of samples were monitored real-time by patch clamp. The hybrid nanopore system exhibit excellent electrical properties and enhanced stability, making this system ideal for high-throughput DNA sequencing.
Predictive Delivery Man Assignment Problem using Deep Learning

Dispatching is a critical part in current online shopping. It relates to how the delivery man assignment should minimize cost along with the service from a source to an end customer with an appropriate scheduled time. The problem arises as neither enough products to deliver nor delivery men are available for dispatch, resulting in suboptimal service and a waste of money. The study aimed to formulate the cost of restaurant dispatching for inducing a deep learning-based solution with the gated recurrent unit recurrent neural network to receive hourly order data and to engage the result for near feature delivery man schedule with minimum cost. The result showed that cost formulation minimized the number of delivery men times the wage per hour with the constraints of each delivery man carrying a maximum of five orders in one way and 11 work hours/day. The deep learning input model used 1078 historical data which were filtered using the Savitzky-Golay method. The root mean square errors of training and testing were 2.35 and 2.41, respectively. Moreover, the number of delivery men every hour was found in a range from one to four people. Furthermore, the deep learning approach saved costs of up to 43.8%.
Mannose based polymeric nanoparticles for lectin separation

ABSTRACT The aim of this work is to synthesize the original, new polymeric nanoparticles for concanavalin A (Con A) purification. Nanoparticles were synthesized by surfactant free emulsion polymerization. In the polymerization prosedure, 1-O-(2′-hydroxy-3′-acryloyloxypropyl)-2,3:5,6-di-O-isopropylidene-α-D-mannofuranose (Man-OPA) was used as co-monomer and 2-hydroxyethylmethacrylate (HEMA) was used as a monomer. Man-OPA was characterized by Fourier Transform Infrared Spectroscopy (FTIR), nuclear magnetic resonance and elemental analysis techniques. Poly(HEMA-Man-OPA) nanoparticles were characterized by scanning electron microscopy, FTIR and Zeta Sizer. In adsorption‒desorption experiments, maximum Con A adsorption capacity of poly(HEMA-Man-OPA) nanoparticles was found 630.6 mg/g nanoparticle (pH 7.5, 1.0 mg/mL). Adsorption‒desorption experiments were repeated in four times. According to results, these nanoparticles could be used several times without significant decrease in Con A adsorption capacity.
Influence of Electrolyte Impurities from E-Waste Electrorefining on Copper Extraction Recovery

In order to reflect possible issues in future sole e-waste processing, an electrolyte of complex chemical composition reflecting system of sole e-waste processing was obtained by following a specially designed pyro-electrometallurgical method. The obtained non-standard electrolyte was further used for the purpose of comprehensive metal interference evaluation on the copper solvent extraction (SX) process. Optimization of the process included a variation of several process parameters, allowing determination of the effect of the most abundant and potentially the most influential impurities (Ni, Sn, Fe, and Zn) and 14 other trace elements. Moreover, comparing three commercial extractants of different active chelating groups, it was determined that branched aldoxime reagent is favorable for Cu extraction from the chemically complex system, as can be expected in future e-waste recycling. The results of this study showed that, under optimal conditions of 20 vol.% extractant concentration, feed pH 1.5, O/A ratio 3, and 10-min phase contact time, 88.1% of one stage Cu extraction was achieved. Co-extraction of the Fe, Zn, Ni, and Sn was under 8%, while Pb and trace elements were negligible. Optimal conditions (H2SO4 180 g/L, O/A = 2, and contact time 5 min) enabled 95.3% Cu stripping and under 6% of the most influential impurities. In addition, an impurity monitoring and distribution methodology enabled a better understanding and design of the process for the more efficient valorization of metals from e-waste.
Orthopalladation of GFP-Like Fluorophores Through C-H Bond Activation: Scope and Photophysical Properties

C. H. and E. P. U. thank the European Cooperation in Science and Technology (COST) program under CA15106 grant: CH Activation in Organic Synthesis (CHAOS). A. I. J., C. C. and E. P. U. thank Ministerio de Economia y Competitividad MINECO (Spain, Project CTQ2013‐40855R) and Gobierno de Aragon‐FEDER (Spain, research group E19_17R: Aminoacidos y Peptidos) for financial support. This work has been partially supported by Rouen University, The Institut National des Sciences Appliquees de Rouen (INSA Rouen), the Centre National de la Recherche Scientifique (CNRS), the Laboratory of Excellence (Labex) SynOrg and the region Normandie.
Validation of the Quality of Dying and Death Questionnaire among the Chinese populations

Abstract Objective This study reports the evaluation of the original 31-item Quality of Dying and Death Questionnaire (QODD) using a sample of caregivers of recently deceased older adults in China, and the validation of a shortened version (QODD-C) derived from the original scale. Methods The translation was performed using a forward and back method. The full scale was tested with 212 caregivers of decedents in four regions of China. Confirmatory factor analysis tested the model fit between the full Chinese version and the original conceptual model and generated the QODD-C. The psychometric analysis was performed to evaluate the QODD-C's internal consistency, content validity, construct validity, and discriminant validity. Results A five-domain, 18-item QODD-C was identified with excellent internal consistency reliability (Cronbach's α = 0.933; split-half Pearson's value = 0.855). The QODD-C total score was significantly associated with constructs related to five domains. The caregiver's relationship with the decedent, the decedent's age at death, death reason, and death place was significantly associated with the QODD-C total score. Significance of results The QODD-C is a valid and reliable instrument for assessing the quality of dying and death among the Chinese populations.
“We Can Work across Agencies to Build a Powerful, Statewide Response”: Considering the Public Health Department’s Response to Domestic Minor Sex Trafficking

ABSTRACT This study explored public health department employees’ perceptions of, and experiences with, identifying and serving victims of domestic minor sex trafficking (DMST). A sample of 47 health department employees completed a mixed method web-based survey about victim identification, DMST myths, and assets and barriers to serving DMST victims. Less than one-third of participants reported that their organizations had a screening tool to identify victims, and another third were unsure if their organization did or did not. Few participants were confident that they could identify DMST victims. Several barriers to serving DMST victims exist, including issues in identification, resource shortages, and a failure to acknowledge the systemic issues that contribute to the complex nature of DMST. Participants identified strong collaborations with anti-trafficking organizations and state legislation that supported Safe Harbor policies as assets in their anti-trafficking work. The present study supports several UN Sustainable Development Goals (SDG 5.2 and SDG 8.7). When public health department employees are educated about domestic minor sex trafficking, have the tools to identify victims, and the resources to serve them, they can more effectively limit further victimization and ultimately work toward preventing minors from being exploited in the first place.
Gender Differences and Changes in Social Participation Among the Elderly in Japan During the COVID-19 Pandemic: a Cross-Sectional Survey

Background: It has been recognized that keeping relationships with society and other people, such as through social participation, is important to maintaining health in the elderly. We aimed to determine changes in the social participation of the elderly from before and during the COVID-19 pandemic, and to compare differences in this status by gender.Methods: We conducted a cross-sectional questionnaire survey in a single city in Ibaraki Prefecture, Japan. The questionnaires were sent by mail to 3,000 people aged 65 to 85 years randomly selected by the administrative staff of the city. Responses were obtained on the basic attributes of the participants (age, gender, working status, residential status), as well as their economic status, daily physical activity, and social participation status at three time points: (1) before the COVID-19 pandemic in January 2020; (2) immediately prior to the declaration of a state of emergency in April 2020; and (3) one year after (1), namely January 2021.Results: A total of 1,301 people responded to the survey. Mean age was 73.3 (SD 5.5) years, and 690 (53.0%) were female. Significant gender differences were seen in living alone, currently working, and amount of physical activity. The number of people reporting social participation gradually decreased, from 543 respondents (41.7%) at (1), 319 (24.5%) at (2) and 251 (19.3%) at (3). On comparison by gender, a significant difference in social participation status was seen at (1), but not at (2) or (3). Conclusions: The percentage of social participation among elderly decreased during the pandemic. The rate of decrease was particularly large among women.
An early proinflammatory transcriptional response to tau pathology is age‐specific and foreshadows reduced tau burden

Age is one of the strongest risk factors for the development of neurodegenerative diseases, the majority of which involve misfolded protein aggregates in the brain. These protein aggregates are thought to drive pathology and are attractive targets for the development of new therapies. However, it is unclear how age influences the onset of pathology and the accompanying molecular response. To address this knowledge gap, we used a model of seeded tau pathology to profile the transcriptomic changes in 3 and 12 month old mice in response to developing tau hyperphosphorylation and aggregation. First, we found the burden of hyperphosphorylated tau pathology in mice injected at 12 months of age was moderately reduced compared to animals injected at 3 months. On a molecular level, we found an inflammation‐related subset of genes, including C3 and the disease‐associated microglia genes Ctsd, Cst7, and Clec7a, were more expressed early in disease in 12 but not 3 month old mice. These findings provide evidence of an early, age‐specific response to tau pathology, which could serve as a marker for the severity of downstream pathology.
Operation strategies guideline for packed bed thermal energy storage systems

Packed bed thermal energy storage (TES) systems have been identified in the last years as one of the most promising TES alternatives in terms of thermal efficiency and economic viability. The relative simplicity of this storage concept opens an important opportunity to its implementation in many environments, from the renewable solar‐thermal frame to the industrial waste heat recovery. In addition, its implicit flexibility allows the use of a wide variety of solid materials and heat transfer fluids, which leads to its deployment in very different applications. Its potential to overcome current heat storage system limitations regarding suitable temperature ranges or storage capacities has also been pointed out. However, the full implementation of the packed bed storage concept is still incomplete since no industrial scale units are under operation. The main underlying reasons are associated to the lack of a complete extraction of the full potential of this storage technology, derived from a successful system optimization in terms of material selection, design, and thermal management. These points have been evidenced as critical in order to attain high thermal efficiency values, comparable to the state‐of‐the‐art storage technologies, with improved technoeconomic performance. In order to bring this storage technology to a more mature status, closer to a successful industrial deployment, this paper proposes a double approach. First, a low‐cost by‐product material with high thermal performance is used as heat storage material in the packed bed. Second, a complete energetic and efficiency analysis of the storage system is introduced as a function of the thermal operation. Overall, the impact of both the selected storage material and the different thermal operation strategies is discussed by means of a thermal model which permits a careful discussion about the implications of each TES deployment strategy and the underlying governing mechanisms. The results show the paramount importance of the selected operation method, able to increase the resulting cycle and material usage efficiency up to values comparable to standard currently used TES solutions.
Probabilistic Fault Displacement Hazard Assessment (PFDHA) for Nuclear Installations According to IAEA Safety Standards

In the last 10 yr, the International Atomic Energy Agency (IAEA) revised its safety standards for site evaluations of nuclear installations in response to emerging fault displacement hazard evaluation practices developed in Member States. New amendments in the revised safety guidance (DS507) explicitly recommend fault displacement hazard assessment, including separate approaches for candidate new sites versus existing sites. If there is insufficient basis to conclusively determine that a fault is not capable of surface displacement at an existing site, then a probabilistic fault displacement hazard analysis (PFDHA) is recommended to better characterize the hazard. This new recommendation has generated the need for the IAEA to provide its Member States with guidance on performing PFDHA, including its formulation and implementation. This article provides an overview of current PFDHA state-of-practice for nuclear installations that is consistent with the new IAEA safety standards. We also summarize progress in an ongoing international PFDHA benchmark project that will ultimately provide technical guidance to Member States for conducting site-specific fault displacement hazard assessments.