Reflective backward analysis to assess the operational performance and eco-efficiency of two industrial districts

PurposeThe best strategy to apply for the future cannot disregard a careful analysis of the past and is the one capable of seizing opportunities from outside. Manufacturing sectors are characterized by sudden changes, and in this work, we analyze the ceramic tiles sector characterized by a mature technology in which innovation has played a key role.Design/methodology/approachThis study aims to provide a sectorial analysis based on a historical data set (2004–2019) to highlight how an industry is performing both operationally and in terms of eco-efficiency. For this purpose, from a methodological point of view, the data envelopment analysis (DEA) was used.FindingsThe results of the analysis show that the Spanish ceramics industry shows a growing economic trend by taking advantage of lower industrial costs, while the Italian industry is characterized by a modest decline partially mitigated by exports. The industrial districts are an aggregation of companies that in the ceramic sector has allowed to combine innovation, sustainability and digitalization and is a model toward the maximization of sustainable efficiency because it is a place of aggregation of resources and ideas.Originality/valueThis study experiments with an innovative way of addressing traditional industry analysis, namely, integrating the reflective management approach with DEA-based backward analysis. This provides decision makers with the basis for new interpretations of variable trends.

Human Capital and Two Factor Theories on Job Satisfaction

Human capital is part of driving business. Knowledge and skill are needed in organization to achieve goals. Research's aim is to study human capital theory combine with two-factor theories on job satisfaction. Because in 2020, there are many employees had resigned from company. The simplified methodology is to analyses on human capital theory as in quantitative for corporate training structure; budget, manpower and training program. Moreover, two-factor theories are qualitative applied for corporate structure; organization policies, salary structure, and achievement. This is survey research using questionnaires with a sample of 109 cases calculating from Taro Yamane's formula. Data analyses are multicollinearity, heteroskedasticity, and autocorrelation. Findings express that the support in higher education and soft skills training are affecting on job satisfaction. Furthermore, in term of two factors show that all key elements are acted as the "Career Life Factors Chain". Business strategy implication expresses as knowledge management via business training rewards. It will be set under terms and conditions on supporting in higher education to employee who works for five years. Besides, upskill and reskill training will provide to employee who works for three years. Meanwhile, two-factor theories business strategy implication as job evaluation and promotion. Criteria for considering are related to position, age, year of service, and salary. Therefore, top managers can apply as its backward analysis with restructuring of human capital management. Keywords: Human Capital, Job Satisfaction, Upskill – Reskill Management

Left atrial function is impaired in cardiac amyloidosis and other cardiomyopathies with hypertrophic phenotype: haemodynamic correlations, pathophysiological consequences and prognostic implications

Background Left atrial function (LAF) is emerging as a novel determinant of clinical status and outcome in cardiomyopathies. However, few studies compare LAF between CA subgroups and between CA and other hypertrophic cardiomyopathies. Purpose This study explores the LAF in cardiomyopathies with hypertrophic phenotype and between CA subgroups and its consequences on clinical status, haemodynamic consequences and survival. Methods We enrolled 50 patients with CA (26 with AL and 24 with wild type ATTR form), 75 patients with LV hypertrophy (LVH) [25 with hypertrophic cardiomyopathy (HCM), 25 with hypertensive cardiomyopathy (HypCM), and 25 with aortic stenosis (AS)]. Besides routine echocardiographic measurements, we analysed LAF using the phasic method (LAEI as reservoi, LAPEF as conduit, LAAEF as pump and TLAEF as total emptying LA function). Results The ATTR showed higher atrial dimensions with a significant reduction in the reservoir and total LA emptying function compared to the AL group (see Table 1). Instead, compared to the LVH group, CA patients showed higher atrial dimension with all LAF phasic parameters reduced, higher LV filling pressures and reduced biventricular function. Then, we further divided the CA and LVH group into subgroups based on the presence or absence of LA dysfunction (LADys+) defined as TLAEF values below the median [TLAEF <50,2%; range 9,3–70,9%]. Patients in CA/LADys+ group showed the worst NYHA class, higher sPAP and lower values of TAPSE and TAPSE/sPAP ratio (see Figure 2). After a follow-up of 24 months, 19 patients died from cardiovascular causes [0/8 in CA/LADys-, 15/42 in CA/LADys+, 0/60 in LVH/LADys- and 4/26 in LVH/LADys+ group; (log-rank χ2 29,6; p<0,0001)]. To predict whether LAF could predict cardiovascular deaths sequential multivariate model was employed, and TLAEF was entered together with established clinical and echocardiographic parameters (NYHA class, LAVI, E/Em, sPAP, TAPSE and TAPSE/sPAP ratio). At the final backward analysis, LAVI, TAPSE/sPAP and TLAEF were the independent prognosticators for adverse events. Discussion The LAF is significantly impaired in CA and associated with worst clinical status, higher incidence of RV dysfunction and higher LV filling and pulmonary pressure. Moreover, LADys is significant associated with higher cardiovascular mortality. LADys results from chronic pressure overload due to LA's exposition to the higher LV diastolic pressure due to impaired LV compliance, and from direct infiltration in CA The result is a progressive LA remodelling with an increased LA pressure and consequenT backward transmission to the pulmonary venous system and to RV. Conclusions The TLAEF is a novel parameter of LAF that correlates with increased pulmonary vascular resistance and RV dysfunction. It seems a promising novel prognosticator and amarker of the haemodynamic consequences of LADys. FUNDunding Acknowledgement Type of funding sources: None. Table 1 Figure 1

Analyzing Difficulties in Arithmetic Word Problem Solving: An Epistemological Case Study in Primary School

This paper focuses on difficulties that primary school students have in facing mathematical word problems. In particular, we are interested in exploring how they develop in the transition from grade 2 to grade 5. The research basis of the hypothesis is that some difficulties detected in grade 5 are already predictable in grade 2. Starting from the data collected in grade 5 by the National Standardized Assessment, we carry out a quantitative analysis looking for word problems in which students experience difficulties. Subsequently, we conduct a backward analysis of the grade 2 test of the same cohort of students in order to identify a set of word problems linked with those selected in grade 5 test. The analysis shows the presence of many common difficulties in the two grades. We design and carry out specific educational activities concerning word problem-solving in grade 2. These activities produce positive changes in the experimental class compared to the control class. This could suggest that a previous intervention in grade 2 could allow overcoming future difficulties in word problem text comprehension in grade 5.

Generating Test Inputs from String Constraints with an Automata-Based Solver

Software testing is an integral part of the software development process. To test certain parts of software, developers need to identify inputs that reach those parts. Data and control dependencies make this a non-trivial task, and as the complexity of software increases it becomes more difficult to manually derive such inputs. Due to complex data manipulations, this process is even more challenging for programs with string inputs, such as security applications. Thus, automated reachability test input generation for string data types is an important research area. Symbolic Execution is a path-sensitive static program analysis technique that can automatically generate conditions for inputs that reach a given program location. Commonly, such conditions are encoded as automata that describe a set of strings at that location. Automata result from string operations applied to inputs along that path. However, these automata do not necessarily correspond to string inputs that result in string values at the program location. To find those input values, we need to undo the effects of string operations through backward analysis. The intricate relationships between symbolic string values complicate this process. These relationships are due to non-injective string operations and data-flow dependencies of string values. This thesis presents a novel method for test input generation for automatabased string constraints. It uses single-track automata along with novel computational techniques to perform inverse string operations. Empirical evaluations on a set of benchmarks have shown this method to be effective in solving automatabased string constraints from real-world applications.

Granger Causality on forward and Reversed Time Series

In this study, the information flow time arrow is investigated for stochastic data defined by vector autoregressive models. The time series are analyzed forward and backward by different Granger causality detection methods. Besides the normal distribution, which is usually required for the validity of Granger causality analysis, several other distributions of predictive errors are considered. A clear effect of a change in the order of cause and effect on the time-reversed series of unidirectionally connected variables was detected with standard Granger causality test (GC), when the product of the connection strength and the ratio of the predictive errors of the driver and the recipient was below a certain level, otherwise bidirectional causal connection was detected. On the other hand, opposite causal link was detected unconditionally by the methods based on the time reversal testing, but they were not able to detect correct bidirectional connection. The usefulness of the backward analysis is manifested in cases where falsely detected unidirectional connections can be rejected by applying the result obtained after the time reversal, and in cases of uncorrelated causally independent variables, where the absence of a causal link detected by GC on the original series should be confirmed on the time-reversed series.

Retrospective study of the first wave of COVID-19 in Spain: analysis of counterfactual scenarios

One of the most important questions on the COVID-19 pandemic is ascertaining the correct timing to introduce non-pharmaceutical interventions (NPIs), based mainly on mobility restrictions, to control the rising of the daily incidence in a specific territory. Here, we make a retrospective analysis of the first wave of the epidemic in Spain and provide a set of useful insights to optimize actions in the near future. We have reconstructed the exposure times, from infection to detectability, to correctly estimate the reproduction number Rt. This enables us to analyze counterfactual scenarios to understand the impact of earlier or later responses, decoupling containment measures from natural immunity. Our results quantify the differences in the number of fatalities for earlier and later responses to the epidemic in Spain.Teaser“We propose a backward analysis of pandemic incidence in a region to determine the correct timing of authorities’ non-pharmaceutical interventions to fight COVID-19”

Orthotropic Behaviour of Magnesium AZ31 Sheet during Strain Localization

It is known that metallic materials are characterized by anisotropy of their mechanical properties, with this being attributed to the conditions during the manufacturing process. For sheet metals, this anisotropy occurs symmetrically to the three orthogonal axes of the rolling, transverse and normal direction. This characteristic is referred to as orthotropic behaviour and manifests itself, for example, in earing during cupping tests. Therefore, orthotropic yield criteria are highly relevant for the numerical simulation of sheet metal forming processes. The Lankford coefficient, also known as the r-value, is a good experimental measure for characterizing orthotropic ductile behaviour of sheets, and can easily aid in parameter identification for yield criteria such as the Hill approaches. In the present investigations, Lankford coefficients were determined as a function of local strain in uniaxial tensile tests through high-resolution digital image correlation. The sample direction was varied between 0°, 45° and 90° to the rolling direction and the test temperature varied from RT to 350 °C at three different strain rates (0.01-1 s-1). By means of a novel backward analysis, the measuring range for the Lankford coefficients was positioned exactly in the necking area. An increase in temperatures showed a decrease in the initial Lankford coefficient. The results showed non-constant Lankford coefficients and commence the course of a natural exponential function depending on the local strain. Regardless of strain rate, the results revealed that the Lankford coefficients (r-values) at 150 °C, 250 °C and 350 °C approaches a steady-state of r = 1.14 with strains greater than 50 %.

Pre-Signal and Influencing Sources of the Extreme Cold Surges at the Beijing 2022 Winter Olympic Competition Zones

The 24th Olympic and Paralympic Winter Games will take place in Beijing in 2022. All three competition zones are vulnerable to extreme cold surges (ECSs), owing to the occurrence of the East Asian winter monsoon. In this paper, a representative competition domain (37.5–42.5° N, 110–120° E) is adopted, with a view to avoiding the differences in both the geographies and the thresholds of ECSs among different zones by considering the probability of simultaneous occurrences. Since 2009, the ECSs in the domain have displayed higher frequency and extremity. Based on all ECS cases in the domain, the dominant circulation is revealed by a quasi “reverse-Ω” pattern, with two strong ridges over the east of the Ural Mountain and the Okhotsk Sea, and a broad, deep trough in East Asia. The influencing sources of the ECSs at the domain could be traced to the Novaya Zemlya by a day-by-day backward analysis. The oblique latitude/longitude–time profiles of both the 500 hPa geopotential height and the 850 hPa air temperature anomalies from the source to the domain clearly indicate that the pre-signal could have a leading influence that exceeds ten days, with a slow accumulation in the first stage and a rapid outburst in the second stage.