Parallel Testing Research Articles

Digital Transformation and ESG Performance: A Quasinatural Experiment Based on China’s Environmental Protection Law

The bioeconomy model provides an alternative view of global economic systems by putting sustainable practices combined with digital approaches at the forefront to tackle issues such as climate change. To address this new business trends, financial institutions began to set up the environmental, social, and governance (ESG) business units to evaluate their business strategies. This paper is aimed at examining the nonfinancial effect created by the digital transformation (DT) activities, highlighting the role of enterprise heterogeneity after the implementation of Environmental Protection Law (EPL) in China. We employ the panel data of A-share listed companies from 2010 to 2020, selecting DT and ESG indicators as the important representations of “Industry 5.0.” Our empirical results demonstrate a positive impact of EPL on the ESG performance in sight of resource enterprises (REs), environmental enterprises (EEs), and polluting enterprises (PEs), but a negative impact of EPL on the DT indicators among those environmental related industries. Additional causal relationship regression reveals that enterprise DT has an intrinsic promoting effect on the ESG performance, emphasizing on the high risk of digitization process being the shock transmitters to enterprise nonfinancial indices. Notably, the connectedness of environmental policy illustrates dynamic patterns by parallel trend test and propensity score matching (PSM) DID regression. This paper is prone to benefit lawmakers, regulators, and firm executives responsible for analyzing and assessing enterprise digitization behavior by exploring the influence of macrolevel environmental policy.

Parallel biochemical and genetic testing informs a timely and accurate diagnosis of MPS VII: Findings from 5 years of sponsored testing programs

Parallel biochemical and genetic testing informs a timely and accurate diagnosis of MPS VII: Findings from 5 years of sponsored testing programs

Ant colony optimization for parallel test assembly.

Ant colony optimization (ACO) algorithms have previously been used to compile single short scales of psychological constructs. In the present article, we showcase the versatility of the ACO to construct multiple parallel short scales that adhere to several competing and interacting criteria simultaneously. Based on an initial pool of 120 knowledge items, we assembled three 12-item tests that (a) adequately cover the construct at the domain level, (b) follow a unidimensional measurement model, (c) allow reliable and (d) precise measurement of factual knowledge, and (e) are gender-fair. Moreover, we aligned the test characteristic and test information functions of the three tests to establish the equivalence of the tests. We cross-validated the assembled short scales and investigated their association with the full scale and covariates that were not included in the optimization procedure. Finally, we discuss potential extensions to metaheuristic test assembly and the equivalence of parallel knowledge tests in general.

The Role of Industrial Structure in the Impact of Environmental Regulation on Carbon Productivity

In the context of global climate change, China has proposed the "Carbon peaking and Carbon neutrality goals" goal of carbon emissions will reach carbon peak by 2030 and carbon neutral by 2060. As a market-based environmental regulation policy to promote greenhouse gas emission reduction, carbon emission trading policy is expected to reduce carbon emissions and improve carbon productivity, among which industrial structure plays a regulatory role in the impact of carbon emission trading policy on carbon productivity. Using the provincial data of China from 2006 to 2019, this paper evaluated the influence of carbon emission trading policy on carbon emission, taking the industrial structure as the regulating variable, studied the industrial structure in the influence of environmental regulation on carbon emission, and tested the regression results of DID model through parallel trend test, placebo test and PSM-DID model regression. After the above research process, the following conclusions are drawn: the carbon emission trading policy has a significant positive promotion effect on carbon emission reduction, and it is further concluded that the industrial structure has a significant negative regulatory effect on carbon productivity under the carbon emission trading policy.

Study on the impact of central environmental protection inspection on the health of the older adult population-A quasi-natural experiment in China.

In 2015, the central government of China established the Central Environmental Protection Inspection (CEPI) system for oversight of local governments. It enhanced local government enforcement of environmental regulations, which had a considerable influence on the health of the local older adult population. This study quantifies the effects of local government regulation brought about by CEPI on the health of the older adult. It examines the impact mechanism using the DID model and panel data from the China Health and Retirement Longitudinal Study (CHARLS). The results show that (1) local governments' environmental protection regulations implemented by CEPI have a positive impact on the general health of the older adult. The results of the study passed the parallel trend test, PSM test, replacement variable test, and placebo test and remained significant; (2) in terms of the impact mechanism, CEPI has promoted local governments' environmental governance initiatives, which has reduced industrial wastewater emissions, industrial sulfur dioxide emissions, and industrial fumes emissions. This has improved air quality, thereby creating a good living environment for the older adult and improving their overall health; (3) according to heterogeneity research, the health of older adult living in the Yangtze River Basin, urban older adult, and older adult without chronic diseases is more significantly affected by the environmental protection regulations of the local governments brought about by CEPI.

Built-In Self-Test Architecture Enabling Diagnosis for Massive Embedded Memory Banks in Large SoCs

This paper describes a hardware/software strategy for the effective and efficient management of several distributed Memory Built-In Self-Test (MBIST) units orchestrated by a single CPU to enable the parallel testing of several memory banks. Experimental testing of the implementation on an Infineon chip shows up to a 25% test time reduction compared to traditional strategies, especially in cases for which there are a large number of failures affecting several banks. Additionally, it permits balanced failure collection from different banks in cases for which there are limitations to the storage of failure-related information.

Chatter prediction for parallel mirror milling of thin-walled parts by dual-robot collaborative machining system

Thin-walled parts with double-sided features are widely used in the aerospace industry, but the machining of such parts still faces great challenges due to their weak rigid structure and the positioning errors caused by turning/re-clamping of the workpiece. For this purpose, a novel machining approach for parallel mirror robotic milling of thin-walled parts is proposed. Different from conventional single-sided milling, it can simultaneously machine both sides of the workpiece while avoiding the above problems and improving machining efficiency. However, the introduction of multiple cutting excitations makes the vibration behavior of the workpiece more complicated, thus making it difficult for the dynamic modeling of the dual-robot machining system. This paper aims to uncover the dynamic mechanism of chatter phenomenon in parallel mirror robotic milling process in consideration of the interaction of tool-workpiece-tool system. A dual-robot collaborative machining system is first developed for the milling of thin-walled workpiece, and the method of synchronous motion planning for dual robots is described. The slave robot synchronously follows the master robot and the two milling cutters mounted on tool flange of the robot are kept in mirror position. Over a tooth passing period, the engagement state of the cutters and the workpiece is analyzed considering the effect of rotation phase lag (RPL) between the twin cutters. After that, the vibration state and the corresponding instantaneous displacement of the workpiece can be expressed explicitly, then the dynamic resultant cutting force acting on the workpiece is calculated according to the mechanistic force model. Comprehensively considering the dynamic interaction of the tool-workpiece-tool system, multi-mode and position-dependent modal characteristics of thin-walled part, a time-varying delay differential equation is constructed and solved to explore the dynamical behavior of parallel mirror milling process. The predicted stability lobe diagram is validated by a series of parallel mirror milling tests on thin-walled PMMA plates. Comparisons of numerical and experimental results show that the dynamic model successfully predicts the chatter stability for the parallel mirror milling of thin-walled parts.

Two subtle problems with overrepresentation analysis

Abstract Motivation Overrepresentation analysis (ORA) is used widely to assess the enrichment of functional categories in a gene list compared to a background list. ORA is therefore a critical method in the interpretation of ’omics data, relating gene lists to biological functions and themes. Although ORA is hugely popular, we and others have noticed two potentially undesired behaviours of some ORA tools. The first one we call the ‘background problem’, because it involves the software eliminating large numbers of genes from the background list if they are not annotated as belonging to any category. The second one we call the ‘false discovery rate problem’, because some tools underestimate the true number of parallel tests conducted. Results Here, we demonstrate the impact of these issues on several real RNA-seq datasets and use simulated RNA-seq data to quantify the impact of these problems. We show that the severity of these problems depends on the gene set library, the number of genes in the list, and the degree of noise in the dataset. These problems can be mitigated by changing packages/websites for ORA or by changing to another approach such as functional class scoring. Availability and implementation An R/Shiny tool has been provided at https://oratool.ziemann-lab.net/ and the supporting materials are available from Zenodo (https://zenodo.org/records/13823301).

IntelliCage: the development and perspectives of a mouse- and user-friendly automated behavioral test system.

IntelliCage for mice is a rodent home-cage equipped with four corner structures harboring symmetrical double panels for operant conditioning at each of the two sides, either by reward (access to water) or by aversion (non-painful stimuli: air-puffs, LED lights). Corner visits, nose-pokes and actual licks at bottle-nipples are recorded individually using subcutaneously implanted transponders for RFID identification of up to 16 adult mice housed in the same home-cage. This allows for recording individual in-cage activity of mice and applying reward/punishment operant conditioning schemes in corners using workflows designed on a versatile graphic user interface. IntelliCage development had four roots: (i) dissatisfaction with standard approaches for analyzing mouse behavior, including standardization and reproducibility issues, (ii) response to handling and housing animal welfare issues, (iii) the increasing number of mouse models had produced a high work burden on classic manual behavioral phenotyping of single mice. and (iv), studies of transponder-chipped mice in outdoor settings revealed clear genetic behavioral differences in mouse models corresponding to those observed by classic testing in the laboratory. The latter observations were important for the development of home-cage testing in social groups, because they contradicted the traditional belief that animals must be tested under social isolation to prevent disturbance by other group members. The use of IntelliCages reduced indeed the amount of classic testing remarkably, while its flexibility was proved in a wide range of applications worldwide including transcontinental parallel testing. Essentially, two lines of testing emerged: sophisticated analysis of spontaneous behavior in the IntelliCage for screening of new genetic models, and hypothesis testing in many fields of behavioral neuroscience. Upcoming developments of the IntelliCage aim at improved stimulus presentation in the learning corners and videotracking of social interactions within the IntelliCage. Its main advantages are (i) that mice live in social context and are not stressfully handled for experiments, (ii) that studies are not restricted in time and can run in absence of humans, (iii) that it increases reproducibility of behavioral phenotyping worldwide, and (iv) that the industrial standardization of the cage permits retrospective data analysis with new statistical tools even after many years.

Impact of China’s free trade zones on the innovation performance of firms: evidence from a quasi-natural experiment

AbstractTo analyse the impact of the free trade zone (FTZ) policy on firms’ innovation performance, this study conducted a quasi-natural experiment involving FTZ promotion, matched information on the establishment of China’s FTZs with patent data for listed companies from 2012 to 2020, and applied identification, estimation and inference processes to identify the effects of FTZs using a time-varying difference-in-differences model. The validity of the findings was confirmed using the parallel trend test, the placebo test and a high-dimensional fixed effects estimation, and the mediating roles of financing constraints and industrial agglomeration on firms’ innovation performance were analysed. To address the endogeneity issue and eliminate regression bias resulting from non-random selection, an instrumental variable regression and propensity score matching were employed. In addition, the policy effects were further explored by analysing the moderating effects of contextual factors and firm heterogeneity. The results showed that the FTZ policy has considerably enhanced the innovation performance of enterprises in the pilot areas, increasing the innovation level of enterprises by alleviating financing constraints and enhancing industrial agglomeration. The level of economic development and the degree of government involvement have also influenced the effect of the FTZ policy on enterprises’ innovation performance. Firm heterogeneity, including factors such as size, ownership, industry affiliation and location, influences the policy effects. In an effort to accelerate the implementation of the policy, an in-depth analysis of the underlying mechanism of the FTZ policy and its effects on enterprise innovation performance was provided, thereby providing a realistic basis for the expansion of the FTZ policy.

The National Burden of Colorectal Cancer in the United States from 1990 to 2019.

CRC accounts for approximately a tenth of all cancer cases and deaths in the US. Due to large differences in demographics among the different states, we aim to determine trends in the CRC epidemiology and across different states, age groups, and genders. CRC rates, age-adjusted to the standard US population, were obtained from the GBD 2019 database. Time trends were estimated as annual percentage change (APC). A pairwise comparison was conducted between age- and gender-specific trends using the tests of parallelism and coincidence. Age-specific trends were also assessed in two age subgroups: younger adults aged 15-49 years and older adults aged 50-74 years. We also analyzed the prevalence, incidence, mortality, and DALYs in the US between 1990 and 2019. A total of 5.53 million patients were diagnosed with CRC in the US between 1990 and 2019. Overall, CRC incidence rates have significantly increased in younger adults (11.1 per 100,000 persons) and decreased in older adults (136.8 per 100,000 persons) (AAPC = 1.2 vs. -0.6; AAPC difference = 1.8, p < 0.001). Age-specific trends were neither identical (p < 0.001) nor parallel (p < 0.001), suggesting that CRC incidence rates are different and increasing at a greater rate in younger adults compared to older adults. However, for both men and women (49.4 and 35.2 per 100,000 persons), incidence rates have decreased over the past three decades at the same rate (AAPC = -0.5 vs. -0.5; AAPC difference = 0, p = 0.1). Geographically, the southern states had the highest mortality rates with Mississippi having the highest rate of 20.1 cases per 100,000 population in 2019. Massachusetts, New York, and the District of Colombia had the greatest decreases in mortality over the study period (-42.1%, -41.4%, and -40.9%). Decreased mortality was found in all states except Mississippi, where the mortality of CRC increased over the study period (+1.5%). This research provides crucial insights for policymakers to tailor resource allocation, emphasizing the dynamic nature of CRC burden across states and age groups, ultimately informing targeted strategies for prevention and intervention.

Effects of the BRI on Sustainable Development Evidence from a Panel Difference-In-Differences Method

Abstract The paper calculates the economic system coupling coordination level of the countries along the Belt and Road Initiative (BRI) from 2000 to 2020. On this basis, the paper analyzes the eco-economic effects and mechanisms of the BRI using the difference-in-difference method. The research shows that the “Belt and Road” initiative will significantly improve the eco-economic system coupling coordination level of participating countries. A series of robustness tests, including parallel trend test, placebo test, control of other policy impacts, and replacement of the “Belt and Road” occurrence time, all show that this promoting effect exists. Second, the “Belt and Road” initiative has improved the coupling coordination level of eco-economic systems through trade and investment behavior, but its driving role still needs to be strengthened. The study confirms the global value of the BRI and offers a reference for crafting appropriate policies to enhance the sustainable development level of countries in the BRI.

Green synthesis of MOF-based textile composites for the degradation of a chemical warfare agent simulant.

A green synthesis of UiO-66-NH2 embedded in chitosan and deposited on textiles has been investigated for the degradation of chemical warfare agents. This method requires no heating or use of toxic solvents. The composite synthesized presents an interesting efficiency in detoxifying common simulants of chemical warfare agents, such as DMNP. In parallel, resistance and permeability tests were also realized in order to confirm the suitability of the composites for further applications.

The Impact of Digital Transformation on Manufacturing Enterprises Innovation

&#x0D; &#x0D; &#x0D; &#x0D; With the rapid development of big data, artificial intelligence and other information technologies, the world economy is entering a new economic era driven by digital technology. Under the background of China Manufacturing 2025, the new generation of digital technology has had a fundamental impact on the reform of China's manufacturing productivity. It also provides a strong driving force for China's manufacturing industry to achieve high-quality development. At present, how to give full play to the driving role of digital innovation elements and achieve performance improvement has become a key concern of the country and enterprises. Based on the data of A-share listed manufacturing enterprises from 2007 to 2021, this paper uses multiple perspectives to measure the digital transformation of enterprises, uses the fixed effect model to verify the promotion effect of digital transformation on innovation, and further uses the multi-period DID model to verify the impact of digital transformation on the innovation performance of manufacturing enterprises through the parallel trend test. Through the empirical test, it is found that digital transformation can significantly promote the improvement of enterprise innovation performance. The research conclusions not only further enrich the relevant research on enterprise innovation under the background of digital transformation, but also provide a theoretical basis for the formulation and implementation of enterprise digital transformation strategy, have certain policy implications, and have certain reference value for manufacturing enterprises to better carry out digital transformation practice.&#x0D; &#x0D; &#x0D; &#x0D;

Study on the Promotion of Green Financial Reform and Innovation on Enterprise Sustainable Development Capability in Low-Carbon Economic Development Based on Statistical Modeling

Abstract Green financial reform and innovation attempts to combine the two core principles of green development and innovation-driven to promote the sustainable development of enterprises. This paper adopts the synthetic control method to establish the experimental and reference groups according to whether the study area is a pilot area for green finance reform. According to the research theory, the indicators affecting the sustainable development of enterprises are selected, and the changes in the indicators of the experimental group before and after the green financial reform and innovation are compared and analyzed. Based on the Mean Difference value and Median Difference value, determine the role of green finance in influencing the sustainable development of enterprises. The parallel trend hypothesis test is carried out to verify the feasibility of the double difference model setting. Construct the mediation model for green lending and enterprise R&amp;D investment to promote sustainable development within enterprises in the context of green finance reform and innovation. The regression results show that the coefficient of the double difference interaction term Treati * Aftert is 0.2653, which passes the significance test at the 1% level. The mediation model, after adding all control variables and three fixed effects, has a double difference term coefficient of 0.0876. After removing irrelevant factors, it further indicates that the implementation of the green financial pilot zone policy can promote the green technological innovation of enterprises to a certain extent and that the green financial pilot zone policy plays a significant role in the promotion of sustainable transformation of enterprises.

Camouflaging endovascular stents with an endothelial coat using CD31 domain 1 and 2 mimetic peptides

ObjectiveImplantation of an endovascular device disrupts the homeostatic CD31:CD31 interactions among quiescent endothelial cells (ECs), platelets, and circulating leukocytes. The aim of this study was to design an endothelial-mimetic coating of nitinol and cobalt-chromium (CoCr) surfaces and stents using synthetic CD31 peptides, to promote device endothelialization and pacific integration within the arterial wall. MethodsPeptides mimicking the domains 1 (D1) and 2 (D2) of CD31 were synthetized and immobilized onto experimental nitinol and CoCr surfaces using a three-step, dip-coating, mussel-inspired protocol using copper-free click chemistry. Human aortic EC phenotype and endothelialization assessment using parallel scratch tests were carried out using five synthetic CD31 peptides coated on 4.8-mm nitinol and CoCr flat disks and were compared with control disks. The CD31 peptide exhibiting the best results in vitro was then immobilized on clinical-grade 3 × 40-mm self-expanding nitinol and 2.5 × 20.0-mm balloon-expandable CoCr stents. Such devices were implanted in native arteries of White New Zealand rabbits, and compared with control uncoated bare metal stents (BMS) and drug-eluting stents 7 and 30 days after implantation using resin cross-sections and scanning electron microscopy (n = 2-3 per group at each time point). ResultsMembrane-distal CD31 D1 and D2 peptides exhibited a distinct capability to foster a healthy endothelial phenotype and to promote endothelialization in vitro. By day 7 after implantation, CD31 nitinol and CoCr stents were evenly covered by wholesome ECs, devoid of thromboinflammatory signs, in contrast with both BMS and drug-eluting stents. Such results were consistent until day 30. ConclusionsMembrane-distal CD31 biomimetic peptides seem to camouflage the device surface effectively, preventing local reactions and promoting rapid and seamless endovascular integration.

Examining Item Position Effect on Reliability Coefficients of Multiple Choice Physics Achievement Test

This study explored the effect of changes in item sequence on test reliability coefficients (test-retest and Kuder Richardson 20) and student’s achievement in multiple-choice physics tests in Senior Secondary School II in Taraba State. The study adopted repeated measures two-group within-subject experimental research design. The research collected data in order to answer three research questions and test one hypothesis. The sample comprised 450 senior secondary II Physics students (male = 303 and female = 147 ) drawn from population of Physics students in Taraba State. Multi stage sampling technique was employed to randomly select twelve schools from three Local Government Areas of the three Senatorial Districts of Taraba State, and an intact arm of SS II from each of the sampled schools was used. Two parallel 40-items Physics Achievement Test developed by the researcher were used for data collection. The resulting data were collated and analysed using descriptive statistics and t-test. Results showed that reliability coefficients obtained from the two formats were quite comparable. However, the finding revealed that there is significant difference between the students mean achievement score in the format A and Format B of the physics achievement test (t = 4.409 , df = 898, p &lt; 0.05, two-tailed). Sequels to the findings, it is concluded that changes in item sequence has no effect on the reliability coefficients, but students will perform better in physics achievement test if the test items are arranged randomly than in descending order of difficulty.

Research on the Evaluation and Enhancement Strategies of College Students’ Health Human Capital in “Healthy Hunan” under the Background of Big Data

Abstract This paper precisely explores the structure and characteristics of college students’ healthy human capital and its influencing factors. It aims to enhance students’ positive and healthy mindset and promote optimism in life and learning. A solid analytical framework is constructed by sorting out the ordered multicategorical logistic regression model and parameter estimation methods and the application steps of the propensity score matching model. College students from ten colleges and universities in Hunan Province were selected as research subjects, and a questionnaire was designed to assess their healthy human capital. The specific factors affecting college students’ healthy human capital accumulation were analyzed in depth through the probability density analysis of propensity score matching, standard support hypothesis testing, and the parallel line test and regression results of the ordered multicategorical regression model. The findings show that the curves of the experimental and control groups after propensity score matching almost overlap in the [0.2,0.4] interval, indicating the method’s validity. A more important finding is that the number of college students with poor self-assessed physical health is 8.063 times higher than that of college students with self-assessed mental health as good, which emphasizes the significant impact of mental health on healthy human capital. Therefore, to effectively improve the health human capital of college students, students, families and universities must form a linkage mechanism and work together to cultivate college students’ health awareness.

High-throughput parallel testing of ten photoelectrochemical cells for water splitting: case study on the effects of temperature in hematite photoanodes.

High-throughput testing of photoelectrochemical cells and materials under well-defined operating conditions can accelerate the discovery of new semiconducting materials, the characterization of the phenomena occurring at the semiconductor-electrolyte interface, or the understanding of the coupled multi-physics transport phenomena of a complete working cell. However, there have been few high-throughput systems capable of dealing with complete cells and applying variations in real-life operating conditions, like temperature or irradiance. Understanding the effects of the variations of these real-life operating conditions on the performance of photoelectrode materials requires reliable and reproducible measurements. In this work, we report on a setup that simultaneously tests ten individual, identical photoelectrochemical cells whilst controlling temperature. The effects of temperature from 26 to 65 °C were studied in tin-doped hematite photoanodes for water splitting - as a reference case - through cyclic voltammetry and electrochemical impedance spectroscopy. The increase of surface-state-mediated charge recombination with temperature mainly penalized the energy conversion efficiency due to the reduction of the photovoltage produced. For parallel measurements in the ten individual cells, standard deviations from 20 to 60 mV for the onset potentials and less than 0.2 mA cm-2 for saturation current densities quantified the reproducibility of the results.

ИССЛЕДОВАНИЕ ПОЛЗУЧЕСТИ СТАЛЕЖЕЛЕЗОБЕТОННЫХ ОБРАЗЦОВ

The paper presents the results of investigation of creep and shrinkage of steel-reinforced concrete specimens. For this purpose, parallel tests of specimens made of the same class of concrete but with different reinforcement were carried out. Concrete specimens, specimens reinforced with bar reinforcement frames and steel reinforced concrete specimens with external sheet reinforcement were investigated. The tests were carried out in climatic rooms using spring setups to maintain a constant load acting on the specimens over time. The load on the specimens was selected based on the equality of stresses in the concrete in all series of specimens. The specimens were tested both waterproofed and non-waterproofed, and the effect of waterproofing coating on shrinkage and creep strains was evaluated for different series of specimens. A system was developed to capture information. which allows, in addition to longitudinal shrinkage and creep deformations, to determine transverse deformations, longitudinal deformations along the faces of the specimen to determine the influence of reinforcement and steel of the outer plate, to evaluate the change in longitudinal deformations from the center of the specimen to its edges, to evaluate separately the deformations of concrete and steel plate in steel-reinforced concrete specimens. The analysis of the results allowed a comparative assessment of the influence of conventional bar reinforcement as well as steel sheet of steel-reinforced concrete specimens on creep and shrinkage deformations; the influence of waterproofing coating on the test results in different series was also assessed. Based on the results of this work, extended requirements for experimental and theoretical studies of steel-reinforced concrete specimens with external sheet reinforcement to determine their design stiffnesses were formulated.