bluuebunny/crossref_metadata_2025_split huggingface dataset:
Additive Manufacturing of Components for a Ball Machine Prototype
Authors: Tunsoiu Nicolae , Doicin Cristian‐Vasile , Murzac Ion , Oncescu Teofil‐Alin , Tunsoiu Daniela , Murzac Roman , Ulmeanu Mihaela‐Elena 
Published: August 2022

AbstractSports have become an important part of most people's lives. Every performance athlete goes through a series of workouts with different sports equipment meant to help their physical condition. Thus, the development of automated sports equipment that can throw a ball with a specific preset speed and trajectory is necessary to facilitate the work of the coach. The paper presents the additive manufacturing process of components for a ball machine prototype used for training athletes. Most of the components in the product's power system are made by additive manufacturing, this choice being conditioned by the appearance of innovative, customized component elements, used in the drive system. Material extrusion is used due to the custom shapes and sizes, specific to the developed product, which innovatively influence the principle of hitting the ball. Fusion 360 is used to design all components, taking into consideration material extrusion technological requirements and design principles. A basic static finite element analysis is performed on the main paddle component to ensure that it can withstand the stress scenario and the results showed that when using HIPS filament, the limit conditions are fully met. CAD files are saved as *.STL files and introduced in Z‐Suite software for parameter optimization according to the functional role of each component. The optimized *.ZCODEX files are sent to Zortrax M300+ machines for material extrusion 3D printing of the components. The final result is a functional prototype of a device that is obtained using mainly additive manufacturing.
Device for Measurement Concentration of Toxic Gas in an Enclosure
Authors: Druga Corneliu‐Nicolae , Braun Barbu , Serban Ionel , Tulica Alexandru 
Published: August 2022

AbstractThis article presents the design and practical realization of a device for measuring the concentration of gases in an enclosure (rooms, production halls, and laboratory). In addition to measuring the concentrations of gases in the room (carbon dioxide, carbon monoxide, ozone, etc.), the main objective is to simulate the integration of the prototype itself in a ventilation system, resulting in a quality index of the air as suitable as possible depending on the occupancy level of the room. A ventilation control system according to the needs of the occupants of the enclosure is a system, which monitors a sequence of parameters such as: ambient temperature, toxic gas concentrations, and air humidity, and thus, according to the measured values, will introduce a quantity corresponding air quality ensuring an optimal air quality factor. This system offers a good compromise between minimizing energy consumption and ensuring good air quality, especially given that the occupancy rate of the monitored rooms is variable and unpredictable. The built‐in system is designed to constantly monitor air quality by adjusting the amount of clean air introduced, so that it will keep the level of CO, CO2, and O3 below a maximum allowable limit, thus adjusting the ventilation as needed.
Simulations Interoperable Transport Using Intelligent Algorithms for Polymeric Products Manufacturing
Authors: Jugravu Bogdan Alexandru , Savu Tom , Opran Constantin Gheorghe 
Published: August 2022

AbstractWhen an autonomous industrial vehicle moves to a certain point to take over or leave an order, intermediate commands may appear on its route that can be taken together with the first order. Orders will be allocated through an algorithm that analyzes delivery times and priorities. This paper presents results of researches regarding the development and use of a simulator to determine the efficiency of the algorithm for allocating transport orders in an intelligent manufacturing line for polymeric products. It is presented for comparison the variant in which the vehicle deals only with the first order and after its finish can take a new order. The paper comes from the development of previously made articles in which an algorithm is used to allocate the transport loads of autonomous industrial vehicles and a neural network that analyzes the capacity of batteries, thus estimating the distances that the vehicle can travel with certain percentages of battery.
Researches Regarding Modeling, Simulation, and Tensile Testing for Polymeric Composites Products
Authors: Ion Sorin Mihai , Nițoi Dan , Peța Luigi Madalin , Opran Constantin Gheorghe 
Published: August 2022

AbstractComposite materials are obtained by combining two or more materials with different physical properties, which maintain their properties at the macromolecular level, thus retaining their identity, to obtain a resulting material with characteristics clearly superior to the constituent elements, comparable to conventional materials in terms of performance. The specimens are made either by injection molding, machined from the center sections of a standard test sample (see ISO 20735: 2018), processed from semifinished, finished, rolled, or extruded products. In this sense, the article briefly presents the activity of creating a modeling, simulation. and tensile testing software program that can acquire control and process data, taken from an experimental stand or from a software simulation. Thus, the following elements are realized: software for retrieving data from the software equipment of the Zwick/Roell Z020 traction test machine; taking data from an experimental stand; simulation of tensile testing; creating reports, management of the production logistics chain of the benchmark. The experimental and theoretical results are further input in the design of the presented software.
Identification and genetic analysis of rare variants in myosin family genes in 412 Han Chinese congenital heart disease patients
Authors: Zhang Yunqian , Peng Rui , Wang Hongyan 
Published: August 2022

AbstractBackgroundMyosin family genes, including those encoding myosin heavy chain 6, myosin heavy chain 7, myosin light chain 3, and myosin light chain 2 (MYL2), are important genetic factors in congenital heart disease (CHD). However, how these genes contribute to CHD in the Han Chinese population remains unclear.MethodsWe sequenced myosin family genes in a Han Chinese cohort comprising 412 CHD patients and 213 matched controls in the present study. A zebrafish model was used to evaluate the pathogenicity of rare mutations in MYL2.ResultsWe identified 30 known mutations and 12 novel mutations. Furthermore, the contributions of two novel mutations, MYL2 p.Ile158Thr and p.Val146Met, to CHD were analyzed. The p.Ile158Thr mutation increased MYL2 expression. In zebrafish embryos, injection of myl2b‐targeting morpholinos led to aberrant cardiac structures, an effect that was reversed by expression of wild‐type MYL2 but not MYL2 p.Ile158Thr and pVal146Met.ConclusionsOverall, our findings suggest that MYL2 p.Ile158Thr and p.Val146Met contribute to the etiology of CHD. The results also indicate the importance of MYL2 in heart formation.
Technical note—Constructing confidence intervals for nested simulation
Authors: Cheng Hong‐Fa , Liu Xiaoyu , Zhang Kun 
Published: August 2022

AbstractNested simulation is typically used to estimate the functional of a conditional expectation. Considerable research has been performed on point estimation for various functionals. However, the quantification of the statistical uncertainty in the point estimator, for instance, using confidence intervals (CIs), has not been extensively investigated. In this article, we establish central limit theorems with the asymptotically optimal convergence rate of for nested simulation with different forms of functionals, where denotes the total computational effort. Based on these theorems, we develop a unified CI framework that can ensure that both the mean squared error of the point estimator and CI width attain the optimal convergence rate. Numerical examples are presented, and the results are found to be consistent with the theoretical results. Experimental results demonstrate that the proposed framework outperforms the existing methods for CI construction in terms of the CI widths and convergence rates.
Multifunctional PA6 composites using waste glass fiber and green metal organic framework/graphene hybrids
Authors: Unnikrishnan Vishnu , Zabihi Omid , Li Quanxiang , Ahmadi Mojtaba , Ferdowsi Mahmoud Reza Ghandehari , Kannangara Thathsarani , Blanchard Patrick , Kiziltas Alper , Joseph Paul , Naebe Minoo 
Published: August 2022

AbstractGlass fiber‐polyamide 6 (PA6) composites are widely used for various automotive applications, yet the ability to exhibit multifunctional properties and the cost of it remains challenging. Herein this work introduces a cost‐effective approach for utilization of waste glass fiber (GF), green aluminium metal organic framework (Al‐MOF), and industry‐grade graphene nanoplatelets (GNPs) for the fabrication of multifunctional PA6 thermoplastic composites with enhanced mechanical performance and fire retardancy. The results demonstrate that hybrid filler of Al‐MOF and GNPs have a synergistic effect in improving the mechanical properties and fire retardancy of GF reinforced PA6 composites. Compared to the neat PA6, the PA6 composite containing 20 wt% GFs, 5 wt% GNPs, and 5 wt% Al‐MOF exhibited ~97% and ~93% improvements in tensile and flexural strength, respectively. Also, compared to the neat PA6, 27 and 55°C increases were observed in glass transition temperature (Tg) and heat deflection temperature, respectively. Thermal stability and fire retardancy of the GFs/PA6 composites were significantly improved when hybridized with GNPs and Al‐MOF.
Is social spending pro‐poor in developing countries? The role of governance and political freedom
Authors: Ben Mimoun Mohamed , Raies Asma 
Published: August 2022

AbstractThis article extends the existing literature on the social spending‐poverty nexus by testing the proposition that the quality of governance and the political freedom status determine social spending effectiveness in developing countries (DCs). Our analysis helps explain the surprising result documented in prior studies, of no clear evidence that higher social spending, especially on education and health, translates to a significant reduction in poverty in DCs. Using unbalanced panel data of a large sample of DCs covering the period 1980–2019, we demonstrated that the impact of public spending on poverty is significantly reduced in countries that have a poor quality of governance and in those with relatively few political freedoms. This result is robust to a change in the poverty indicator and type, and the estimator used in regression models. This finding implies that improving the efficacy of social spending through improving governance and political freedom is as crucial as increasing the scale of this spending in the poverty alleviation strategy of DCs, especially those with limited public resources. Our empirical analysis also revealed other novel results about the socioeconomic factors most likely to explain poverty in DCs.
Development programs and achieving service efficiency in public sector institutions in Jordan: E‐government as a moderator
Authors: Nawafleh Sahem 
Published: August 2022

AbstractThe current study is guided by two questions: First, do development programs positively promote service efficiency? and second, does the catalyst of electronic government (e‐government) positively impact development programs for the promotion of service efficiency provided by public institutions in Jordan? Descriptive, causal, quantitative, and cross‐sectional approaches were used, and data were collected from self‐administered questionnaires targeting service recipients in Jordan. Using nonprobability purposive sampling, 4,492 citizens were included in the sample group. Structural equation modeling was used, and the reported development programs explained 52% of the variance in service efficiency; e‐government directly accounted for only 1% of the variance. The interaction effect confirmed that e‐government was seen to strengthen the positive effect of the development programs on service efficiency. The results and their implications are presented, along with recommendations for future research.
Seedling performance, phenotypic traits and growing media for domestication of Lilium polyphyllum
Authors: Dhyani Anurag , Nautiyal Bhagwati Prasad , Nautiyal Mohan Chandra 
Published: August 2022

Societal Impact StatementMedicinal plants are a key component of primary health care for much of the world's population. However, overharvesting and indiscriminate collection from the wild threatens medicinal plant populations with extinction. One conservation solution to preserve biodiversity is to domesticate and cultivate threatened medicinal plants, in order to provide a sustainable source close to the local populations who use the species. Here, we present work to cultivate the critically endangered (CR) medicinal herb, Lilium polyphyllum. To reduce unsustainable wild harvesting, we identify different climatic zones, habitats and growing media, which will aid domestication of this endangered species and help local populations to cultivate the plant near its natural habitat.Summary

Lilium polyphyllum (Liliaceae) is a perennial, bulbous medicinal herb, used in more than 30 Ayurvedic medicinal formulations as an aphrodisiac, galactagogue and anti‐ageing agent. The species is categorized as critically endangered on the IUCN (International Union for Conservation of Nature) Red List due to habitat degradation and unregulated collection. To alleviate the pressure on wild populations and increase conservation, the IUCN Red List recommends its domestication in suitable habitats. The present study was carried out over three consecutive years to evaluate the performance and survival of the species in two agro‐climatic zones in Garhwal Himalaya, Uttarakhand, India.
L. polyphyllum seedlings were raised and transplanted into different growing mediums and treatments (control, manure, litter and polyhouse) in both temperate (Pothivasa, 2200 m a.s.l.) and alpine (Tungnath, 3600 m a.s.l.) regions to identify a suitable site and or habitat for future mass production.
Experiments revealed yield and performance in polyhouse beds were greatest in the temperate region. Plant survival was also high in polyhouse beds in both the temperate (81%) and alpine (40%) sites. Phenotypic and growth traits of plants grown from bulbs collected from the wild population of the temperate site performed better in both morphology and in yield than those in the alpine site after one growing season. Cocopeat and sand may be responsible for the improved growth of plants.
In conclusion, plant survival rate, growth performance and yield under polyhouse conditions were higher in lower altitudes (temperate regions), which may provide a production centre for seedlings to interested farmers in other regions.
Research on modeling in operator mental workload based on VACP method
Authors: Zhang Yuxin , Wen Hanguan , Dai Xinyu , Liang Jieheng , Xu Zhihui , Xue Ke , Yang Ming 
Published: August 2022

AbstractIn the context of the applications of higher automation and complex system configuration in nuclear power plants (NPPs), ensuring nuclear safety by maintaining the reliability of the operators in main control room is become more crucial than ever before. As an essential dimension of physiological indicator, human mental workload is widely used in evaluating human performance and reliability. This paper presents an approach to evaluate the mental workload of operators using multiple resources in Visual, Auditory, Cognitive, and Psychomotor (VACP) model, and takes time pressure (TP) as a critical index. We have performed the approach by a real case study and analyzed the relationship between the operator mental workload and TP, task type and the error probability during the Loss of Coolant Accident (LOCA) under full power operation. There are two operating phases in the workload has been analyzed. Moreover, the relationship between human‐error probability (HEP) and TP had been studied via volatility gain analysis for distinguishing which step of a task is of most important. The results shows that the fault remind (“informing LOCA”) is the first important fluctuation in the phase ignoring TP and HEP. On the other hand, the information validity (“ensuring control rods has been inserted to the bottom”) in the case considering TP is the most important. Because the high task load is positively correlated with human error, the research provides an important basis for preventing human errors in the phase of NPP designs, which will be especially useful in safety‐critical tasks.
Quantum computational quantification of protein–ligand interactions
Authors: Kirsopp Josh J. M. , Di Paola Cono , Manrique David Zsolt , Krompiec Michal , Greene‐Diniz Gabriel , Guba Wolfgang , Meyder Agnes , Wolf Detlef , Strahm Martin , Muñoz Ramo David 
Published: August 2022

AbstractWe have demonstrated a prototypical hybrid classical and quantum computational workflow for the quantification of protein–ligand interactions. The workflow combines the density matrix embedding theory (DMET) embedding procedure with the variational quantum eigensolver (VQE) approach for finding molecular electronic ground states. A series of ‐secretase (BACE1) inhibitors is rank‐ordered using binding energy differences calculated on the latest superconducting transmon (IBM) and trapped‐ion (Quantinuum) noisy intermediate scale quantum (NISQ) devices. This is the first application of real quantum computers to the calculation of protein‐ligand binding energies. The results shed light on hardware and software requirements which would enable the application of NISQ algorithms in drug design.
A Dentin Biomimetic Remineralization Material with an Ability to Stabilize Collagen
Authors: Tao Siying , Yang Jiaojiao , Su Zhifei , Zhou Fangjie , Wang Ziyou , Yang Yingming , Sun Lizhong , Deng Yi , Liang Kunneng , Li Jiyao 
Published: August 2022

AbstractThe integrity of collagen matrix structure is a prerequisite for effectively inducing biomimetic remineralization. Repeated low pH stimulation activates matrix metalloproteinases (MMPs) in dental caries. Activated MMPs cause the breakdown of collagen fibrils. Collagen stabilization is a major obstacle to the clinical application of remineralization templates. Here, galardin‐loaded poly(amido amine) (PAMAM)‐NGV (PAMAM‐NGV@galardin, PNG) is constructed to induce collagen stabilization and dentin biomimetic remineralization simultaneously, in order to combat early caries in dentin. PAMAM acts in the role of nucleation template for dentin remineralization, while galardin acts as the role of MMPs inhibitor. NGV peptides modified on the surface of dendrimer core can form small clusters with synergistic movement in short range, and those short‐range clusters can form domain areas with different properties on the surface of PAMAM core and restrict the movement of collagen, favoring collagen crosslinking, which can be explained through the computational simulation analysis results. NGV peptides and galardin show a dual collagen‐protective effect, laying the foundation for the dentin remineralization effect induced by PAMAM. PNG induces dentin remineralization in an environment with collagenase, meanwhile showsing anti‐dentin caries efficacy in vivo. These findings indicate that PNG has great potential to combat early dentin caries for future clinical application.
An integrated systems thinking approach for achieving sustainability in project‐based organizations
Authors: Singh Avinash Kumar , Pathak Devendra Kumar , Patra Sabyasachi 
Published: August 2022

AbstractThe growing concern for environment and pressing need for societal well‐being require organizations to encompass sustainability in their projects. This study attempts to propose an integrated systems thinking approach to attain sustainability in project‐based organizations (PBOs). An integrated approach consisting of viable system model (VSM), evolutionary game theory (EGT) and system dynamics (SD) is utilized to identify key organizational subsystems for achieving sustainability and analyse interaction patterns among various key personnel in PBOs. The proposed models are developed based on the data collected from two PBOs; thereafter, these models are validated through the data collected from eight PBOs (situated in Singapore and India). The outcomes of this study reveal key organizational subsystems that are required to achieve sustainability and differences in interaction patterns among various key personnel in PBOs, for these two countries. This study facilitates project professionals in identifying the best organizational designs to achieve sustainability in PBOs.
Investigation of the flexural behavior of reinforced concrete beams strengthened with a composite reinforcement layer: Polyvinyl alcohol fiber‐reinforced ferrocement cementitious composite and steel wire mesh
Authors: Du Wenping , Yang Caiqian , De Backer Hans , Wang Chong , Pan Yong 
Published: August 2022

AbstractTo improve the flexural behavior of reinforced concrete (RC) beams, a new ferrocement composite material was proposed. A polyvinyl alcohol fiber‐reinforced ferrocement cementitious composite (PVA‐RFCC) and steel wire mesh (SWM) were attached onto the soffit of the RC beams as a composite reinforcement layer (CRL). One control beam and four strengthened RC beams were investigated. The maximum load carrying capacity, initial stiffness, and displacement ductility parameter of the strengthened beams were up to 99.3%, 48.0%, and 90.9% higher than those of the control beam, respectively. The SWM2 accounted for 91.6% of these improvements. An analytical model was proposed to predict the flexural capacity of strengthened RC beams. The tensile force of the polyvinyl alcohol‐engineered cementitious composite was considered and calculated by rectangular and triangular distributions. The predicted results were in good agreement with the experimental results, which validated the accuracy of the proposed model.