Modeling Analysis Of Data Research Articles

Impacts of GDP, Fossil Fuel Energy Consumption, Energy Consumption Intensity, and Economic Structure on SO2 Emissions: A Multi-Variate Panel Data Model Analysis on Selected Chinese Provinces

Atmospheric pollution gradually become a focus of concern all over the world owing to its detrimental influence on human health as well as long range impact on global ecosystem. This paper investigated the relationship among SO2 emissions, GDP, fossil fuel energy consumption, energy consumption intensity, and economic structure of five provinces in China with the highest SO2 emissions spanning from 2002–2015 based on panel data model. Through comparatively analyzing the coefficients in the established panel data model for Hebei, Henan, Inner Mongolia, Shandong, and Shanxi, we can obtain that: (1) fossil fuel energy consumption made the most devotion to SO2 discharge compared with GDP, energy consumption intensity, and economic structure. And the more the fossil fuel energy consumption, the more the devotion made by it to SO2 discharge. (2) GDP devoted less to SO2 emissions than fossil fuel energy consumption, and the larger the scale of the economy, the greater the contribution made by it to SO2 emissions. (3) The higher the proportion of the secondary industry added value accounted in GDP, the more the devotion made by the economic structure and energy consumption intensity to SO2 emissions. Through analyzing the Granger causality examination results, it can be concluded that: (1) there existed a bi-directional causal relationship between fossil fuel energy consumption and SO2 emissions among five selected provinces. (2) There existed uni-directional causal nexus running from GDP to SO2 emissions, from energy consumption intensity to SO2 emissions, and from economic structure to SO2 emissions among five chosen provinces. Based on the empirical analysis, several policy implications were proposed to provide references for policy makers, which were (1) Giving full play to the guiding role of price signals, and improving the price policy for desulfurization. (2) Formulating a new comprehensive evaluation system to measure the regional development level considering economic development and environmental impacts. (3) Exploring renewable and sustainable energy sources to substitute for fossil fuel energy according to regional resources endowment. (4) Developing high value added and low pollution emissions industries and reducing the proportion of secondary industry.

Factors Influencing Best Practices in Treating IBD: Results From a Predictive Modeling Analysis of Educational Outcomes Data

Factors Influencing Best Practices in Treating IBD: Results From a Predictive Modeling Analysis of Educational Outcomes Data

Analysis of Massive Unstructured Data Model Based on Clustering Algorithm

With the rapid development of the Internet and the Internet of Things, the degree of informatization of various industries has rapidly increased, and modern computers can easily collect large amounts of data. Therefore, various industries have begun to adopt large-scale databases to collect more. The information, and through this information to get more knowledge, resulting in a huge amount of data. In this paper, the clustering algorithm is used to analyze massive unstructured data, and the parameters such as the number of accesses and the duration of use are considered, so that the unstructured data can improve the accuracy when searching, so as to more effectively meet the needs of users.

ANALISIS KESULITAN BELAJAR SISWA MENTAL RETARDATION DI SDN KEDUNGPUTRI 2 (Studi Kasus di SDN Kedungputri 2, Paron Kabupaten Ngawi)

This study entitled Analysis of Reading Difficulties in Mental Retardation Students In Primary School (Case Study In SDN Kedungputri 2). The background of this research is the emergence of learning problems in mentally retarded children attending regular elementary school (not designated as inclusive primary). This study aims to find out the learning process, especially learning to read mental retardation children in SDN Kedungputri 2, Paron, Ngawi and to find out the steps taken in overcoming the difficulties of reading children mental retardation in SDN Kedungputri 2, Paron, Ngawi. This research is descriptive qualitative research. The data collected in this research are facts and information on the implementation of character education of discipline in elementary school. In this study the data source is teachers and students. Data collection techniques used in this study consist of (a) observation, (b) interview, and (c) test. In this study the validity of the data using data triangulation. Data analysis technique is done by using interactive data model analysis technique. Based on the data collected can be seen that students who experience mental retardation initials AS and the students have difficulty reading. Teachers continue to pay attention to the difficulties of learning to read the beginning to the AS.

Application of independent component analysis with semi‐supervised Laplacian regularization kernel density estimation

AbstractIn this study, fault detection and fault reconstruction methods are developed using matrix factorization of component vectors obtained with independent component analysis (ICA). Two monitoring statistics are used for fault detection in a detailed analysis of the ICA data model. A fault reconstruction technique is proposed that can determine the normal value and an estimate of the fault magnitude from the measurements. A semi‐supervised Laplacian regularization (SLR) kernel density estimation approach is introduced to determine the normal operating region, which can significantly reduce the false alarm rate. These methods are applied to a hot galvanizing pickling waste liquor treatment process (HGPWLTP) to evaluate the performance of the proposed approach. The test results show that the proposed approach has satisfactory performance.

Leader-member exchange and organizational citizenship behaviors: Contextual effects of leader power distance and group task interdependence

In this paper we explore the context of the relationship between leader-member exchange and organizational citizenship behaviors (OCB). We maintain that workgroup leader's power distance and the extent of task interdependence in the group exert cross-level effects on the LMX-OCB relationship. We assert that leader power distance attenuates the relationship between LMX and OCB, and this effect is stronger in workgroups with high degree of task interdependence. Results of hierarchical linear modeling analysis of data gathered from 245 employees nested in 54 workgroups supported our hypotheses. LMX-OCB relationship was weaker in workgroups led by high power distance leaders. Further, the three-way cross-level interaction between LMX, leader power distance and group task interdependence demonstrated that the tendency for LMX to have a stronger positive effect on OCB when leader power distance was low rather than high was more pronounced in high task interdependence teams.

Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis

Social media data have recently attracted considerable attention as an emerging voice of the customer as it has rapidly become a channel for exchanging and storing customer-generated, large-scale, and unregulated voices about products. Although product planning studies using social media data have used systematic methods for product planning, their methods have limitations, such as the difficulty of identifying latent product features due to the use of only term-level analysis and insufficient consideration of opportunity potential analysis of the identified features. Therefore, an opportunity mining approach is proposed in this study to identify product opportunities based on topic modeling and sentiment analysis of social media data. For a multifunctional product, this approach can identify latent product topics discussed by product customers in social media using topic modeling, thereby quantifying the importance of each product topic. Next, the satisfaction level of each product topic is evaluated using sentiment analysis. Finally, the opportunity value and improvement direction of each product topic from a customer-centered view are identified by an opportunity algorithm based on product topics’ importance and satisfaction. We expect that our approach for product planning will contribute to the systematic identification of product opportunities from large-scale customer-generated social media data and will be used as a real-time monitoring tool for changing customer needs analysis in rapidly evolving product environments.

Factors Influencing Best Practices in Treating Ulcerative Colitis: Results From a Predictive Modeling Analysis of Educational Outcomes Data

Factors Influencing Best Practices in Treating Ulcerative Colitis: Results From a Predictive Modeling Analysis of Educational Outcomes Data

Carbon nanotubes exhibit fibrillar pharmacology in primates.

Nanomedicine rests at the nexus of medicine, bioengineering, and biology with great potential for improving health through innovation and development of new drugs and devices. Carbon nanotubes are an example of a fibrillar nanomaterial poised to translate into medical practice. The leading candidate material in this class is ammonium-functionalized carbon nanotubes (fCNT) that exhibits unexpected pharmacological behavior in vivo with important biotechnology applications. Here, we provide a multi-organ evaluation of the distribution, uptake and processing of fCNT in nonhuman primates using quantitative whole body positron emission tomography (PET), compartmental modeling of pharmacokinetic data, serum biomarkers and ex vivo pathology investigation. Kidney and liver are the two major organ systems that accumulate and excrete [86Y]fCNT in nonhuman primates and accumulation is cell specific as described by compartmental modeling analyses of the quantitative PET data. A serial two-compartment model explains renal processing of tracer-labeled fCNT; hepatic data fits a parallel two-compartment model. These modeling data also reveal significant elimination of the injected activity (>99.8%) from the primate within 3 days (t1/2 = 11.9 hours). These favorable results in nonhuman primates provide important insight to the fate of fCNT in vivo and pave the way to further engineering design considerations for sophisticated nanomedicines to aid late stage development and clinical use in man.

The impact of local government investment on the carbon emissions reduction effect: An empirical analysis of panel data from 30 provinces and municipalities in China.

Among studies of the factors that influence carbon emissions and related regulations, economic aggregates, industrial structures, energy structures, population levels, and energy prices have been extensively explored, whereas studies from the perspective of fiscal leverage, particularly of local government investment (LGI), are rare. Of the limited number of studies on the effect of LGI on carbon emissions, most focus on its direct effect. Few studies consider regulatory effects, and there is a lack of emphasis on local areas. Using a cointegration test, a panel data model and clustering analysis based on Chinese data between 2000 and 2013, this study measures the direct role of LGI in carbon dioxide (CO2) emissions reduction. First, overall, within the sample time period, a 1% increase in LGI inhibits carbon emissions by 0.8906% and 0.5851% through its influence on the industrial structure and energy efficiency, respectively, with the industrial structure path playing a greater role than the efficiency path. Second, carbon emissions to some extent exhibit inertia. The previous year’s carbon emissions impact the following year’s carbon emissions by 0.5375%. Thus, if a reduction in carbon emissions in the previous year has a positive effect, then the carbon emissions reduction effect generated by LGI in the following year will be magnified. Third, LGI can effectively reduce carbon emissions, but there are significant regional differences in its impact. For example, in some provinces, such as Sichuan and Anhui, economic growth has not been decoupled from carbon emissions. Fourth, the carbon emissions reduction effect in the 30 provinces and municipalities sampled in this study can be classified into five categories—strong, relatively strong, medium, relatively weak and weak—based on the degree of local governments’ regulation of carbon emissions. The carbon emissions reduction effect of LGI is significant in the western and central regions of China but not in the eastern and northeast regions. This study helps overcome the limitations of previous studies on the regulatory effects of LGI on carbon emissions, and the constructed model may more closely reflect actual economic conditions. Moreover, the current study can benefit countries similar to China that aim to objectively identify the impacts of their LGI on carbon emissions, and such countries can use it as a reference in the formulation of investment policies based on their economic and industrial characteristics.

Immigrant integration policy for future generations? A cross-national multilevel analysis of immigrant-background adolescents’ sense of belonging at school

The present study examined whether an immigrant integration policy effort that is geared toward the educational inclusion of all adolescents may actually work toward the reduction of the gap between immigrant-background and non-immigrant students in their sense of social belonging at school. This study posited that a relatively lower sense of belonging at school among immigrant-background adolescents may be a manifestation of systemic social exclusion that permeates the educational system of a given country, thus hypothesizing that a public policy approach may be effective as a systemic intervention. A series of hierarchical generalized linear modeling analyses of data from 52,446 children across 2,248 schools in 25 countries was conducted. The results suggested that government efforts to formulate and enforce educational policies for immigrant integration may have some positive effect on the social inclusion of immigrant-background adolescents in school settings. This study has substantial significance as it provides an evidentiary base on the tangible impact of multicultural policies.

The Effects of Different Levels of Performance Feedback onTOEFL iBT®Reading Practice Test Performance

The purpose of the present study is to examine whether performance on the TOEFL iBT® Reading practice test is affected by 3 different levels of feedback provided to learners upon completion of reading exercises: (a) correctness of learner response (the knowledge of correct results [KCR] feedback), (b) KCR feedback and rationales for correct/incorrect answers, and (c) KCR feedback and the rationales along with on-demand video lectures. Japanese learners of English completed 18 reading exercises and reviewed the results by using the type of feedback provided to the group to which each learner had been assigned. They also completed 2 TOEFL iBT Reading test forms: 1 as a pretest and 1 as a posttest. A multilevel modeling analysis of data from 193 participants who completed the study showed that despite a gain of over 3 scaled score points on the TOEFL iBT Reading test from the pretest to the posttest, the level of feedback was not found to affect the test score. A learner background variable, previous knowledge about the TOEFL iBT test, was identified as a predictor positively related to the test score. Moreover, a series of ANOVAs conducted on learner survey data suggested that the level of feedback affected the degree to which study participants perceived the usefulness of the study materials in understanding different item types that appear on the TOEFL iBT Reading section and in developing strategies for understanding the gist of the text within a short time.

Converging evidence for [coronal] underspecification in English-speaking adults.

The goal of this study was to test the predictions of the Featurally Underspecified Lexicon (FUL) theory by examining event-related potential (ERP) indices of phonological representation. Two English consonants differing in place of articulation were selected: [labial] /b/ and [coronal] /d/. It was assumed that the phonological representation of /d/ contained less distinctive feature information due to its [coronal] place of articulation, as compared to /b/. English-speaking adults were presented with two syllables, /bɑ/ and /dɑ/, in an ERP oddball paradigm where both syllables served as the standard and deviant stimulus in opposite stimulus sets. Three types of analyses were conducted: traditional mean amplitude measurements, cluster-based permutation tests, and single-trial general linear model (GLM) analyses of group-level and single-subject data. The less specified /dɑ/ deviant elicited a large MMN while no MMN was elicited by the more specified deviant /bɑ/. Additionally, the /dɑ/ standard syllable elicited larger responses than did the /bɑ/ standard, while deviant syllables did not differ. This implies that the MMN was driven by responses elicited by the standards rather than the deviants. At the single-subject level, not all participants demonstrated significant MMN responses, though all had measurable differences between the standard syllables. Thus, to continue to propose that [coronal] underspecification is a language universal phenomenon, ERP indices other than the MMN should be examined.

Use of community mobile phone big location data to recognize unusual patterns close to a pipeline which may indicate unauthorized activities and possible risk of damage

Damage caused by people and organizations unconnected with the pipeline management is a major risk faced by pipelines, and its consequences can have a huge impact. However, the present measures to monitor this have major problems such as time delays, overlooking threats, and false alarms. To overcome the disadvantages of these methods, analysis of big location data from mobile phone systems was applied to prevent third-party damage to pipelines, and a third-party damage prevention system was developed for pipelines including encryption mobile phone data, data preprocessing, and extraction of characteristic patterns. By applying this to natural gas pipelines, a large amount of location data was collected for data feature recognition and model analysis. Third-party illegal construction and occupation activities were discovered in a timely manner. This is important for preventing third-party damage to pipelines.

Bringing Together Reading and Writing: An Experimental Study of Writing Intensive Reading Comprehension in Low‐Performing Urban Elementary Schools

AbstractThis study examined the hypothesis that assisted writing during reading improves reading comprehension. The hypothesis was derived from sociocognitive and constructivist theory and research and implemented in the form of a curricular intervention called Writing Intensive Reading Comprehension after its main feature of bringing together reading comprehension and writing. The study used instruction with interactive thinksheets to provide sustained, focused, and assisted writing experiences to help students in low‐performing urban schools construct understandings of their reading. The study used a cluster randomized trial design. Results support the hypothesis that bringing together reading and writing through instruction using thinksheets produces levels of reading comprehension superior to traditional instruction. Hierarchical linear modeling analyses of pretest and posttest data from 1,062 fourth‐ and fifth‐grade students in 50 classrooms and 10 schools (four 2‐year experimental, three 1‐year experimental, and three control schools) also revealed greater effects for special education and low‐income students in the experimental group. The study also revealed uneven improvement among experimental classrooms with regard to students’ grade level, length of exposure to the intervention, and teachers’ fidelity of implementation. The results imply that the upper grade students with the longer treatment and higher fidelity of implementation benefited more from the intervention. The study extends theory and research on reading–writing connections and suggests additional research and practical applications using assisted writing to improve reading comprehension.

秦皇岛柳江国家级自然保护区、国家地质公园负离子浓度分布与旅游资源引力分析

本文介绍了秦皇岛柳江盆地的整体状况及旅游资源，并采用城市引力模型，从实际数据角度分析了秦皇岛柳江盆地的潜在游客来源，同时根据实际情况对柳江盆地旅游业的发展提出了一定的建议。在分析模型数据的基础上进一步说明柳江盆地旅游资源的发展潜力，为人居环境提出一定的建设性意见。 The paper introduces the overall situation of Qinhuangdao Liujiang river basin and the tourism resources, and the urban gravity model is adopted. From the point of view of the actual data, it an-alyzed the potential sources of tourists for Qinhuangdao Liujiang river basin, and according to the actual situation, some suggestions are put forward for the development of tourism in the Liujiang river basin. Based on the analysis of data model, it further illustrated the development potential of tourism resources for Liujiang river basin and put forward some constructive suggestions for the living environment.

Sperm Retrieval in Patients with Klinefelter Syndrome: A Skewed Regression Model Analysis.

BackgroundThe most common chromosomal abnormality due to non-obstructive azoospermia (NOA) is Klinefelter syndrome (KS) which occurs in 1-1.72 out of 500-1000 male infants. The probability of retrieving sperm as the outcome could be asymmetrically different between patients with and without KS, therefore logistic regression analysis is not a well-qualified test for this type of data. This study has been designed to evaluate skewed regression model analysis for data collected from microsurgical testicular sperm extraction (micro-TESE) among azoospermic patients with and without non-mosaic KS syndrome.Materials and MethodsThis cohort study compared the micro-TESE outcome between 134 men with classic KS and 537 men with NOA and normal karyotype who were referred to Royan Institute between 2009 and 2011. In addition to our main outcome, which was sperm retrieval, we also used logistic and skewed regression analyses to compare the following demographic and hormonal factors: age, level of follicle stimulating hormone (FSH), luteinizing hormone (LH), and testosterone between the two groups.ResultsA comparison of the micro-TESE between the KS and control groups showed a success rate of 28.4% (38/134) for the KS group and 22.2% (119/537) for the control group. In the KS group, a significantly difference (P<0.001) existed between testosterone levels for the successful sperm retrieval group (3.4 ± 0.48 mg/mL) compared to the unsuccessful sperm retrieval group (2.33 ± 0.23 mg/mL). The index for quasi Akaike information criterion (QAIC) had a goodness of fit of 74 for the skewed model which was lower than logistic regression (QAIC=85).ConclusionAccording to the results, skewed regression is more efficient in estimating sperm retrieval success when the data from patients with KS are analyzed. This finding should be investigated by conducting additional studies with different data structures.

Substituting sugar confectionery with fruit and healthy snacks at checkout - a win-win strategy for consumers and food stores? a study on consumer attitudes and sales effects of a healthy supermarket intervention.

BackgroundThe widespread use of in-store marketing strategies to induce unhealthy impulsive purchases has implications for shopping experience, food choice and possibly adverse health outcomes. The aim of this study was to examine consumer attitudes and evaluate sales effects of a healthy checkout supermarket intervention. The study was part of Project Sundhed & Lokalsamfund (Project SoL); a Danish participatory community-based health promotion intervention.MethodsConsumer attitudes towards unhealthy snack exposure in supermarkets were examined in a qualitative pre-intervention study (29 short in-store interviews, 11 semi-structured interviews and three focus group interviews). Findings were presented to food retailers and informed the decision to test a healthy checkout intervention. Sugar confectionery at one checkout counter was substituted with fruit and healthy snacking items in four stores for 4 weeks. The intervention was evaluated by 48 short exit interviews on consumer perceptions of the intervention and by linear mixed model analyses of supermarket sales data from the intervention area and a matched control area.ResultsThe qualitative pre-intervention study identified consumer concern and annoyance with placement and promotion of unhealthy snacks in local stores. Store managers were willing to respond to local consumer concern and a healthy checkout intervention was therefore implemented. Exit interviews found positive attitudes towards the intervention, while intervention awareness was modest. Most participants believed that the intervention could help other consumers make healthier choices, while fewer expected to be influenced by the intervention themselves. Statistical analyses suggested an intervention effect on sales of carrot snack packs when compared with sales before the intervention in Bornholm control stores (P < 0.05). No significant intervention effect on sales of other intervention items or sugar confectionery was found.ConclusionsThe present study finds that the healthy checkout intervention was positively evaluated by consumers and provided a ‘responsible’ branding opportunity for supermarkets, thus representing a win-win strategy for store managers and consumers in the short term. However, the intervention was too modest to draw conclusions on long-term sales and health implications of this initiative. More research is needed to assess whether retailer-researcher collaborations on health promotion can be a winning strategy for public health.

Research on Stock Adjustment Model of Chinese Pharmaceutical Industry in the Reforming Process of Mixed Ownership

The aim of Chinese pharmaceutical industry restructuring and upgrading is to achieve the transformation from incremental expansion to the stock adjustment road. As the mail strength of industrial restructuring, pharmaceutical companies of state-owned and state-holding are the main object of pharmaceuticals industry mixed ownership reforms. Basing on the analyzing of mixed ownership reforming process and industry restructuring, the paper discussed the impacting factors of Chinese pharmaceutical restructuring with the empirical analysis of Panel Data model. Result display that the state-owned companies perform the more quantity, extensive mode of production, which need the stock adjustment model. Restructuring road include the incremental and stock adjusting, micro-stock adjusting, social capital participating and state-owned capital exchange building.

Study on Innovation Behavior of State-owned Pharmaceutical Enterprises Based on the Viewpoint of Ownership Structure Reforming

&lt;span lang="EN-US"&gt;It is necessary to play a leading and exemplary role in the implementation of Chinese innovative development strategy, because of the economic, social and political status of state-owned pharmaceutical enterprises. Based on describing pharmaceutical ownership reforming and innovation status, the paper analyzed the dynamic innovation performance of the State-owned pharmaceutical enterprises by the Malmquist index of DEA (Data Envelopment Analysis), and result shows that the biological product field of state-owned enterprises obtained better innovation performance. Then the paper discussed the innovation performance of state-owned pharmaceutical enterprises by the empirical analysis of Panel data model, the results showed that the state-owned enterprise have the serious status of R&amp;amp;D resource concentrating and excessing, but it is still achieve major force of Chinese pharmaceutical economic growth based on innovative activities. At last, the paper offered the upgrading road of state-owned enterprises innovation capability, such as the market radiating and integrating, micro-cooperation, organizational restructuring, and cross-regional integration.&lt;/span&gt;