Systematic Pattern Research Articles

Direitos, elo social e reconhecimento

Neste texto, pretendo demonstrar que a dimensão interpessoal do direito, que frequentemente se traduz em demandas por reconhecimento, é imprescindível para a compreensão da forma como violações a direitos formais são vividos e percebidos por atores sociais. No contexto etnográfico aqui analisado, as unidades de privação de liberdade do Distrito Federal, a recorrência das narrativas e situações em campo que se reportavam à qualidade do elo social apontam para padrões sistemáticos de desconsideração e exclusão discursiva no espaço das cadeias locais que não podem ser adequadamente apreendidas por meio do idioma jurídico-legal, na medida em que representam, para além da violação a direitos positivados, um ataque a dimensões fundamentais da integridade pessoal dos interlocutores. As normatividades que permeiam as relações sociais, e que são pautadas por expectativas de tratamento digno e respeito mútuo, são, portanto, um aspecto central do processo concretização dos direitos que se vinculam aos componentes civis da cidadania.

Identifying safety archetypes of construction workers using system dynamics and content analysis

Construction accidents have unique features on the surface, while further investigation often reveals common underlying systemic patterns that lead to accidents. By identifying these patterns, organizations can better understand past accidents, monitor risk, and reduce the likelihood of future accidents. Further, construction project management is such a complex effort due to the unique, dynamic, and temporary nature of the construction industry. Furthermore, there is lack of research on exploring the systematic patterns responsible for occurrence of accidents. To address this gap in knowledge, this paper aims to better understand the dynamic complexity of construction safety by identifying behavioral patterns of workers that recur in construction projects continuously. Content analysis and ground theory method (GTM) were adopted for this research. In total, 100 papers were reviewed to explore the influential factors affecting the safety in construction projects. Furthermore, 20 interviews were conducted with experts in the field of construction health and safety. The results showed that there are four archetypes of construction workers: (1) blame on workers, (2) construction delay, (3) incentive programs, and (4) subcontractors’ financial status. The identified archetypes have been illustrated at different steps including the dynamic theory, behavior over time, and the leverage point to show how to manage the archetype. The developed archetypes could be useful for decision-makers and help them be aware of the long-term effects of their decisions in the projects. They also provide systemic vision for project managers helping them understand the dynamic complexity of construction safety management.

Mapping coercive institutions: The State Security Forces dataset, 1960–2010

How rulers organize and use their security forces is thought to have important implications for regime survival, repression, and military effectiveness. While a number of studies provide insight into the coercive institutions of individual states, efforts to understand systematic patterns have been hampered by a lack of reliable data on state security forces that can be compared across states and within them over time. This article presents the State Security Forces (SSF) dataset, which includes 375 security forces in 110 countries, 1960–2010. It tracks how each force is commanded, staffed, equipped, and deployed, as well as the number of security forces and potential counterweights in each state’s security sector as a whole. After illustrating how the SSF dataset differs from related ones and presenting descriptive trends, the article shows how it can be used to deepen our understanding of coup-proofing and strategic substitution, and identifies additional research uses of the dataset.

Music sentiment and stock returns

We develop a novel measure of investor sentiment based on the valence of songs that individuals listen to. Our measure of music sentiment captures seasonal and weather-induced mood swings and is associated with a systematic pattern of mispricing correction.

Database Recognition/Journal Indexing Services for Physical Therapist

A “database” is a platform of information recruited in a planned and systematic pattern, configured to a program called as “Database Management System” which interacts with end users, applications and database itself. In other words, database captures and analyzes data, making it accessible electronically via desktop, laptop, tablet or mobile phone etc for serving transformation purpose of past and current acquaintance and advancements along with synthesis of information to develop latest methodologies in advancements. Physical Therapy is a branch of health science which comprise of assessment, rehabilitation through exercise and electrotherapy, manipulation, mobilization, research focused and future advancements through evidence based practice7 and lifestyle modifications to treat conditions related to Orthopedics, Sports, Neurology, Pediatric, Cardio-thoracic, Obstetrics and Gynecology, Community Based and Hand Rehabilitation, Biomechanics and hence improve the overall quality of life. As the author has mentioned in the beginning regarding various database available for healthcare professionally, in the current article the author intends to focus on database for publications from perspective of a Physical therapist/Physiotherapist.

Nudging and boosting for equity? Towards a behavioural economics of energy justice

With climate mitigation and energy transition impacts on vulnerable individuals becoming increasingly evident, justice considerations take on heightened relevance for energy governance. Yet, energy justice remains underinvestigated in relation to the potential of behavioural economics. Behavioural economics provides evidence that individuals exhibit systematic and predictable patterns of decision-making that depart from the assumptions of rational choice theory, thus giving policy-makers a richer model of human behaviour. Adopting such a model will impact energy justice outcomes, hence understanding potential dynamics is timely. How can policy-makers complement traditional energy poverty alleviation measures with behaviourally informed ones to enhance vulnerable individuals’ cognitive capacity? What implications does this carry for energy justice? Supportive choice architecture for individuals exposed to higher risks related to energy access and use must improve their outcomes, without shifting the responsibility for vulnerability to them, neglecting their intrinsic capabilities, or obscuring structural injustice. This article analytically illustrates whether and how behavioural economics can support individual behaviour and promote collective action, in combination with a policy shift to substantive claim-making processes, to address the unfair distribution of energy use burdens. Using nudging and boosting as tools for energy poverty alleviation, it discusses how behavioural economics can enhance energy justice.

Double-Scaling Limit in the Principal Chiral Model: A New Noncritical String?

We initiate a systematic, non-perturbative study of the large-N expansion in the two-dimensional SU(N)×SU(N) principal Chiral model (PCM). Starting with the known infinite-N solution for the ground state at fixed chemical potential, we devise an iterative procedure to solve the Bethe ansatz equations order by order in 1/N. The first few orders, which we explicitly compute, reveal a systematic enhancement pattern at strong coupling calling for the near-threshold resummation of the large-N expansion. The resulting double-scaling limit bears striking similarities to the c=1 noncritical string theory and suggests that the double-scaled PCM is dual to a noncritical string with a (2+1)-dimensional target space where an additional dimension emerges dynamically from the SU(N) Dynkin diagram.

Origin and evolution of fault-controlled hydrothermal dolomitization fronts: A new insight

Dolomitization is one of the most significant diagenetic reactions in carbonate systems, occurring where limestone (CaCO3) is replaced by dolomite (CaMg (CO3)2) under a wide range of crystallization temperatures and fluids. The processes governing its formation have been well studied, but the controls on the position of dolomitization fronts in ancient natural settings, particularly in a fault-controlled hydrothermal system (HTD), have received remarkably little attention. Hence, the origin and evolution of HTD dolomitization fronts in the stratigraphic record remain enigmatic. Here, a new set of mineralogical and geochemical data collected from different transects in a partially dolomitized Cambrian carbonate platform in western Canada are presented to address this issue. Systematic patterns of sudden decrease in the magnesium content (mol% MgCO3) and increase in porosity were observed towards the margin of the body. Furthermore, fluid temperatures are cooler and δ18Owater values are less positive at the dolomitization front than within the core of the body. These changes coincide with a change from poorly ordered, planar-e dolomite with multiple crystal zonations at the margin, to an unzoned, well-ordered, interlocking mosaic of planar-s to nonplanar dolomite in the core of the body.These phenomena are hypothesized to reflect dynamic, self-limiting processes in the formation and evolution of HTD dolomitization fronts through (i) plummet of dolomitization potential at the head of dolomitizing fluids due to progressive consumption of magnesium and fluid cooling; and (ii) retreat of dolomitization fronts towards the fluid source during subsequent recrystallization of the dolomite body, inboard of the termination, once overdolomitization took place. This new insight illustrates how dolomitization fronts can record the oldest phase of dolomitization, instead of the youngest as is often assumed. Formation of porosity is interpreted to occur as the result of acidification-induced grain leaching during the development of dolomitization fronts. This mechanism, coupled with retrogradation of dolomitization fronts, may help to explain the apparent enhancement of porosity in proximity to dolomitization fronts.

Dynamic behaviors and contributing factors of volatility spillovers across G7 stock markets

This paper investigates the evolutions and determinants of volatility spillover dynamics in G7 stock markets in a time-frequency framework. We decompose volatility spillovers into short-, medium-, and long-term components, using a spectral representation of variance decompositions. The impacts of hypothesized factors on the decomposed volatility spillovers are also examined, using a linear regression model and fixed effects panel model. We find that the volatility spillovers across G7 stock markets are crisis-sensitive and are, in fact, closer to a memory-less process. The low-frequency components are the main contributors to the volatility spillovers; the high-frequency components are very sensitive to market event shocks. Moreover, our results reveal that the contributing factors have different effects on short-, medium-, and long-term volatility spillovers. There is no systematic pattern of the impacts of the contributing factors on volatility spillovers. However, whether the country is the transmitter or recipient of volatility spillovers could be a potential reason.

Decadal and multidecadal natural variability in European temperature

European monthly temperatures undergo strong fluctuations from one year to the other. The variability is controlled by natural processes such as Atlantic cycles, changes in solar activity, volcanic eruptions, unforced internal atmospheric variability, as well as anthropogenic factors. This contribution investigates the role of key natural drivers for European temperature variability, namely the Atlantic Multidecadal Oscillation (AMO), the North Atlantic Oscillation (NAO) and solar activity changes. We calculated Pearson correlation coefficients r for AMO, NAO and sunspots compared to monthly temperature data of 39 European countries for the period 1901–2015 in order to search for ‘fingerprints’ of the natural drivers. A cross correlation window of 11 months was chosen for AMO, NAO and of 120 months for SILSO to account for possible time lags or phase shifts. The r coefficients were mapped out across Europe on a monthly basis to document regional and seasonal changes of the correlation strength. The NAO dominates European temperature variability during the winter months, with strongest relationship in February. The AMO modulates temperatures in March to November, with best correlations occurring in summer, but also in April. Regions of strongest AMO and NAO impacts shift across the continent from month to month, forming systematic patterns. Direct correlation of the solar 11-year Schwabe cycle with temperatures was identified only in some countries in certain multidecadal intervals during February, March, June and September. Previous studies have suggested a significant solar influence on the AMO and NAO. It is likely that the greatest impact of solar activity on European temperatures is of a non-linear, indirect nature by way of interaction with Atlantic cycles.

Exploring the limits of the Data-Model-Theory synergy: “Hot” MW transitions for rovibrational IR studies

In order to further improve the accuracy of rovibrational IR line lists generated from the “Best Theory + Reliable High-resolution Experiment” (BTRHE) strategy from 0.01 to 0.05 cm−1, or 300–1500 MHz, to ∼10 MHz, we explore the current limits of the Data-Model-Theory synergy by examining the accuracy and consistency of existing data, then propose that “hot” bands in microwave (MW) spectra is the solution we need for future enhancements. The Ames SO2J = 0–20 rovibrational energy levels computed on the semi-empirically refined Ames-2 potential energy surface (PES) are fit to the Effective Hamiltonian (EH) model regularly used in the experimental infrared (IR) analysis for SO2 isotopologues. In the fitted EH(Ames) model, the rotational constants A/B/C and all 5 quartic centrifugal distortion constants display clear, systematic, and consistent patterns along the vibrational state energy or quanta. Such consistent patterns may facilitate the vibrational assignments for MW hot bands and extract more information from high temperature MW spectra. Some EH(Expt) analyses were carried out with the lowest order Coriolis Coupling term, C1. Their constants should not be directly compared with other EH(Expt) and EH(Ames) results. After excluding them, our δ = EH(Ames)- EH(Expt) analyses for 5 isotopologues (626, 636, 646, 628 and 828) indicates some loss of accuracy and consistency starting from vibrational states as low as 2ν2 or 1000 cm−1. Some EH parameters, e.g. δK, may have relative deviations as large as 50–100% and totally lose any recognizable patterns. This simply means that current EH(Expt) models do not have the system-wide consistency we need to further refine the EH(Ames) and Ames rovibrational IR line lists. A large part of such defects are probably inherited from the limited precision of experimental line positions, i.e. 1E-3 ∼ 1E-4 cm−1, or 3–30 MHz. This is confirmed in a series of truncation tests using the Ames data. Although the EH(Ames) consistency may help identify unreliable rovibrational EH(Expt) parameters, and make reliable predictions for minor isotopologues and unobserved vibrational bands, we believe only the highly accurate “hot” MW transitions can provide real enhancements for EH(Expt) accuracy and consistency. “Hot” MW spectra should play a more significant role in the future synergy of Data, Model, and Theory in the field of rovibrational IR studies.

Clothing Colour & Pattern Recognition for Visually Defective Persons using Grey Level Discrete Wavelet Transform Technique

collecting materials with different colours, patterns are complicated process for visually defective persons. Systematic materials pattern identification is also a denounce investigation highest different pattern deviations. In the study of living human-computer-interaction (HCI) implementation and apply of methods digitalized systems mainly focusing on the particular persons. This system mainly introduces the automatic study on “Blind & visually defective persons HCI and access to GUI produce a recent scenario imminent solution for visually defective persons and deliver together a new investigation. This Proposed system developed camera-captured on the real cloth identification garments patterns into under 4 diperception (plaid, stripped, pattern less, and 11 garments colours. The camera, a computer, a microphone, and of garments colours. Surrounded upon a pair of images. The garments colours are defined to authorizations. Present, managed by input speech m-phone. To recognize garments patterns, novel RSD and a wavelet sub bands to capture main features of garments patterns. To calculated effectiveness proposed accuracy, for apply various Garments Pattern dataset. Our approaches have 95-98% recognition accuracy which gathered output performs.

Gender quotas and placement mandates in open and closed lists: Similar effects, different mechanisms

In this paper, we argue that placement mandates, that is, regulations for gender ordering in party lists, enhance gender quotas' effectiveness in proportional representation electoral systems, independently of list type. In closed-list systems, placement mandates increase women's representation automatically as a result of the electoral rules, and, for this reason, we call this effect mechanical. In open-list systems, the effect is also strong due to systematic patterns of electoral behavior. We call this effect psychological. In order to demonstrate this, we analyze 140 Latin American legislative elections carried out between 1990 and 2018. Then, we compare the two most similar cases of open-list systems with different rules for placement mandates to illustrate the occurrence of the psychological effect. This is the first article to argue that placement mandates have similar effects in both kinds of lists as a function of distinct mechanisms.

Agricultural drought early warning from geostationary meteorological satellites: concept and demonstration over semi-arid tract in India.

Remote sensing data from Indian geostationary satellites (Kalapana-1, INSAT 3A) were used for the first time for early warning of agricultural drought and forewarning of crop vigour. An Early warning indicator (EWI) was developed from operational product of rainfall and reference evapotranspiration from observations of Kalpana-1 very high resolution radiometer (VHRR). The effectiveness of EWI was evaluated for the two drought years (2009 and 2012). The positive correlation (r = 0.66-0.68 for 2009 and r = 0.64-0.70 for 2012) between the EWI in the month of June-July and standardized precipitation index-1 (SPI-1) averaged over administrative unit (called district) indicates that EWI can be used successfully for drought early warning. Lag-response behaviour between EWI and crop vigour in terms of normalized difference vegetation index (NDVI) and LAI (leaf area index) over cropland was studied. Systematic patterns emerged for 30days lag period between negative EWI and NDVI at both grid-scale (0.25°) and at district level. Linear relations were found between 10-day EWI and NDVI or LAI at 30days lag during June-July period. Linear models were developed to forewarn crop vigour which was validated with realized NDVI from INSAT 3A charge-coupled device (CCD) observations within 95% accuracy. The EWI is recommended as potential indicator for early-season agricultural drought assessment and can be used for sub-district scale with finer scale rainfall and evaporation products from advanced next-generation geostationary meteorological satellites.

Belief reversals as phase transitions and economic fragility: a complexity theory of financial cycles with reflexive agents.

This paper aims to contribute to the analysis of expectations and belief reversals in a evolutionary and complexity economics framework. It formulates its analysis in terms of the concept of reflexivity, drawing on the ideas regarding reflexivity in financial markets of George Soros, and lays out a model of how a financial cycle expresses a systematic pattern of interacting feedback effects. The paper develops this analysis as a complex interaction between sets of heterogeneous expectations derived from the behavior of reflexive economic agents. Positive and negative feedback phases in a cycle are distinguished and associated with boom and bust stages of that cycle. A central role is played by agents’ beliefs and judgments underlying their expectations, and how those beliefs and judgments in uncertain circumstances are changeable and subject to abrupt reversals which can manifest themselves in “Minsky moments.” The paper argues that agents’ belief reversals result from their misconceptions about causal processes in booms and upswings, a misconception that reflects their tendency to think causally in terms of negative feedback patterns rather than positive ones.

PENINGKATAN LEARNING ORGANIZATION MELALUI KEPEMIMPINAN TRANSFORMASIONAL DAN EFIKASI DIRI GURU SMP SWASTA BUDDHIS SE-PROVINSI BANTEN

IMPROVEMENT OF LEARNING ORGANIZATION THROUGH TRANSFORMATIONAL LEADERSHIP AND EFICATION OF TEACHER OF BUDDHIS PRIVATE SCHOOL BANTEN PROVINCEThe purpose of this study was to find that learning organization can be improved by examining the relationship of learning organization, transformational leadership and self-efficacy. This research was conducted with a quantitative approach by using correlational statistical methods to determine whether transformational leadership and self-efficacy have a positive relationship with learning organization. Sampling in this study was using proportional random sampling technique with the taro yamane formula. The data collection to measuring instruments was a questionnaire. The results were continually analyzed by using the SITOREM methods in order to derive recommendations and determine the order of priority improvements that need to be made. This research was conducted on Buddhist Private Middle School teachers in Banten Province with a study population of 145 and a sample of 107 teachers. The results showed that there was a positive relationship between transformational leadership and learning organization with a relationship strength of ry1 = 0,530 and there was a positive relationship between self-efficacy and learning organization with a strength of ry2 = 0,477. This shows that learning organizations can be improved through the development of transformational leadership and self-efficacy. Sitorem’s analysis results showed that in the components of transformational leadership, self-efficacy and learning organization were found 10 indicators that need to be improved, namely: 1) Individualized consideration, 2) Confidence in understanding his / her abilities, 3) commitment and determination of everyone in the organization, 4) Systematic thinking patterns, 5) Individual Skills, 6) Organizational team attitude, 7) Make generalizations, 8) A conception of an ideal future, 9) A vision which agreed upon by all members of the organization and 10) Maturity.

Assessment of Sustainability Development in Urban Areas of Morocco

In Morocco, the last census counted 70% of houses in cities, with seven cities accounting for 25% of the total population and 41% of the urban population. This paper questioned the sustainability indicator in Moroccan cities using a novel methodology based on Earth observations and census data. We estimated the indicator for the 25 largest urban areas between 2003 and 2013. A stratification based on urbanization fractions allowed for the definition and comparison of hierarchically ordered zones consistent across urban areas and scales. We found no systematic pattern of growth between cities. However, three categories of development were identified: a group of large cities with an indicator less than unity and land consumption commensurate to population growth, a group of medium-sized cities trending moderately towards unsustainability with an indicator between one and two, and a group including small cities with significant departure from sustainability. The disparate sustainability levels between urban areas appear to be related to the rapid economic growth, typical of an emerging economy. Our results indicate a continuous population growth pushing outwards the perimeters of existing urban areas. Unless regulated, land consumption is increasing faster than the population in most parts of Morocco, in line with global trends.

Spatiotemporal variability and trends in rainfall extremes in Enebsie Sar Midir district, northwest Ethiopia

The main purpose of this study was to investigate the spatiotemporal variability and trends in rainfall extremes in Enebsie Sar Midir district, northwest Ethiopia, based on the data obtained from National Meteorological Agency of Ethiopia. Mann–Kendall’s test and Sen’s slope estimator were used to analyze the trend and magnitude of change, respectively. The results revealed that the annual rainfall showed increasing trend at all stations except at Mertu Lemariam, but the trends were not statistically significant. Trends of extreme rainfall events did not show systematic pattern. The maximum 1 day (Rx1 day) precipitation value decreased at Gundowoin, while the values increased at Mertu Lemariam and Motta. The trends for the mean annual consecutive 5 days (Rx5 day) precipitation, mean annual heavy (R10 mm) precipitation and mean annual very heavy (R20 mm) precipitation for annual time series were decreasing at Mertu Lemariam, while the trends were increasing at Gundowoin. The mean annual wet day rainfall intensity (SDII) for both the annual and main rainy seasons’ time series showed increasing trends but not statistically significant. The mean annual number of wet days, the mean annual consecutive wet days and the mean annual consecutive dry days at Gundowoin for both the annual and the main rainy seasons’ time series showed increasing trends, but the trend was only statistically significant for during the annual time series. The study has paramount significance for small-holder farmers to design appropriate adaptive strategies to climate-induced risks.

A Complexity Theory of Financial Cycles With Reflexive Agents

This paper aims to contribute to the analysis of expectations and belief reversals in an evolutionary and complexity economics framework. It formulates its analysis in terms of the concept of reflexivity, drawing on the ideas regarding reflexivity in financial markets of George Soros, and lays out a model of how a financial cycle expresses a systematic pattern of interacting feedback effects. The paper develops this analysis as a complex interaction between sets of heterogeneous expectations derived from the behavior of reflexive economic agents. Positive and negative feedback phases in a cycle are distinguished and associated with boom and bust stages of that cycle. A central role is played by agents’ beliefs and judgments underlying their expectations, and how those beliefs and judgments in uncertain circumstances are changeable and subject to abrupt reversals which can manifest themselves in ‘Minsky moments.’ The paper argues that agents’ belief reversals result follow their misconception about causal processes in booms and upswings, a misconception that reflects their tendency to think causally in terms of negative feedback patterns rather than positive ones.

Residential Location Econometric Choice Modeling with Irregular Zoning: Common Border Spatial Correlation Metric

Residential location choice (RLC) predicts where and how people choose their residential location in the framework of land use–transport interaction models (LUTI). This paper seeks an efficient RLC model in the context of irregular zoning of location alternatives. The main current proposals in the field are discrete choice models. In RLC modeling, the alternatives are spatial units, and spatially correlated logit (SCL) is an efficient approach when the analyst cannot pre-define groups of alternatives that efficiently reflect the systematic substitution patterns among the alternatives. The SCL uses the spatial information on the contiguity of the zones to determine spatial correlation among the alternatives. Urban residential location choice usually uses administrative zoning, which is very irregular in many cities (mainly historic cities); however, SCL is not efficient in this context owing to the limitations of the binary contiguity spatial variable employed as a spatial correlation metric (SCM). This paper proposes an extension of the mixed SCL model, with an SCM based on the proportion of common border length in contiguous zones, which is more efficient in the irregular urban zoning context. The proposed model is applied to an urban case study of LUTI RLC modeling with irregular zoning, based on the administrative divisions of the city of Santander (Spain) and is shown to be empirically more efficient than the previous approaches.