Systematic Pattern Research Articles

Characteristics of the IGS receiver clock performance from multi-GNSS PPP solutions

Global navigation satellite system (GNSS) receivers belonging to the International GNSS Service (IGS) are equipped with different types of clocks, such as internal crystal quartz clocks, rubidium and cesium atomic clocks, as well as hydrogen masers. These clocks are characterized by different phase and frequency accuracies and stabilities, resulting in different systematic clock time series patterns. We analyze the clock offsets between different GNSS systems, provide noise characteristics of the undifferenced and differenced clock parameters, and detect systematic patterns of the clocks. The time series of the receiver clocks are dominated by the diurnal, semidiurnal, and sometimes terdiurnal signals with amplitudes up to several meters. Hydrogen masers provide the highest clock stability, and the lowest is by internal clocks. However, there are also groups of very stable internal clocks that perform similarly to low-performing hydrogen masers and rubidium clocks. The interquartile ranges for epoch-differenced clock parameters fall between 3 and 250 mm for the best hydrogen masers and the worst internal clocks, respectively.

Fate of nutrients and trace contaminants in a large shallow soda lake. Spatial gradients and underlying processes from the tributary river to the reed belt.

Shallow lakes provide a multitude of ecosystem functions, but they are particularly vulnerable to natural and anthropogenic disturbances. Understanding the driving factors determining the fate and spatial distribution of nutrients and pollutants in such systems is fundamental to assess the impact of ongoing or future external pressures endangering their ecological integrity. This study investigates the fate of trace contaminants transported into the large shallow Lake Neusiedl, including contaminants representative of different patterns of sources and emission pathways and of environmental behavior, namely metals, pharmaceuticals, an artificial sweetener and perfluoroalkyl substances. Further, it examines the horizontal spatial distribution of nutrients, ions and physico-chemical parameters with an unprecedented detailed focus on the internal variability within the large reed belt. As described in the past e.g. for chloride, evaporation was identified as the process leading to a substantial concentration enrichment of the industrial chemical PFOA and the sweetener acesulfame K from the tributary river into the open lake. This is particularly relevant in view of the predicted future increase of evapotranspiration due to climate change. In contrast, the observed loss of diclofenac, but also of PFOS and carbamazepine suggests that the well-mixed, humic-rich and alkaline Lake Neusiedl offers favorable conditions for the photodegradation of otherwise very persistent chemicals. Another important finding, in the context of possible modifications in lake water levels due to climate change, is the fundamental role played by the connectivity between open lake and reed belt but also by the presence and characteristics of inner water areas within the reed belt region in determining the hydrochemistry of the lake system. By revealing systematic spatial patterns and by focusing on the underlying factors and processes, the understanding offered by this study is of high value for the conservation of shallow lakes.

Vowel adaptation patterns within English loanwords in Iraqi Arabic

This research examines the phonological adaptation of pure vowels in English loanwords in Iraqi Arabic (IA). Unlike previous small-scale studies, the present study collected 346 loanwords through document review and self-observation, and then analyzed them using quantitative content analysis to identify the patterns of pure vowel adaptation involved in incorporating English loanwords into IA. The content analysis findings showed that most pure vowel adaptations in English loanwords in IA follow systematic patterns and may thus be attributed to specific characteristics of both L1 and L2 phonological systems. Specifically, the findings suggest that the IA output forms typically preserve the features of the input pure vowel to the maximum degree feasible by either converting input pure vowels to their direct IA counterparts or replacing them with their closest IA match.

Day of the week effect on select scheduled commercial banks in India

The Day of the Week effect is a phenomenon observed in financial markets where the performance of securities or stocks varies based on the day of the week. This study investigates the presence of the Day of the Week effect in the financial performance of selected banks. Specifically, it examines whether certain days of the week exhibit consistent patterns of higher or lower returns for these banks. The study focuses on a sample of prominent banks and analyzes their daily stock returns over a specified time period. Various statistical techniques, such as mean return analysis and regression models, are employed to identify and quantify any systematic patterns associated with different days of the week. The findings from this research contribute to the existing literature on market anomalies and behavioral finance by shedding light on the Day of the Week effect in the banking sector. Understanding the presence of such patterns can be valuable for investors, traders, and financial institutions in formulating trading strategies and managing risk. The results of this research will provide insights into the behavior of selected banks' stock returns and offer implications for portfolio management, market efficiency, and regulatory policies. Additionally, the study may prompt further investigation into the underlying causes of the Day of the Week effect, such as investor sentiment, trading behavior, or market microstructure. Overall, this research aims to contribute to the understanding of the Day of the Week effect in the banking sector and its implications for financial markets. By examining the performance of selected banks across different days of the week, this study offers insights that can be valuable to both academics and practitioners in the field of finance.

Assessing the Role of Market Share Development on Competitive Advantage in Dairy Companies

Objective: This study aims to assess the role of market share development on competitive advantage in dairy companies. Method: The present research employs a mixed-methods approach (quantitative and qualitative). In the qualitative phase, purposeful sampling was conducted until theoretical saturation was achieved, and the statistical population, in accordance with the systematic pattern of Grounded Theory, included 12 experts in the fields of marketing and marketing managers in dairy companies. The Grounded Theory approach was utilized for qualitative data analysis and the presentation of a paradigm model using MAXQDA software, version 20. In the quantitative section, the population consisted of 730 employees of dairy companies, from which a sample size of 252 was selected using Cochran's formula. Quantitative data were analyzed using descriptive statistics, inferential statistics, and structural equation modeling (with a Partial Least Squares approach) through Smart PLS 3.0 software. Findings: Based on the results of the qualitative analysis, 22 categories and 78 indicators were identified in six main groups: causal conditions (internal marketing, product life cycle management, market attractiveness, marketing mix, competitive strategy, planning and goal setting), contextual factors (customer characteristics, competitive environment, and market turbulence), core phenomenon (market share development strategy), strategies and actions (market share management, sales promotion, advertising, competition, brand equity, and market segmentation), intervening factors (risk management and sustainable competitive advantage), and outcomes (brand position consolidation, profitability, bargaining power, and market share increase). Conclusion: The results obtained in the quantitative section indicated that the proposed model of the research has adequate validity.

Factions in Nondemocracies: Theory and Evidence From the Chinese Communist Party

This paper theoretically and empirically investigates factional arrangements within the Chinese Communist Party (CCP), the governing political party of the People's Republic of China. Using detailed biographical information of political elites in the Central Committee and provincial governments, we present a set of new empirical regularities within the CCP, including systematic patterns of cross‐factional balancing at different levels of the political hierarchy and substantial faction premia in promotions. We propose and estimate an organizational economic model to characterize factional politics within single‐party nondemocratic regimes and its economic implications.

Kinerja Pengawasan DPRD terhadap Kebijakan Bupati Sinjai

This papers aims to analyze how the supervisory function of the Sinjai Regency DPRD is carried out regarding the policies of the Sinjai Regent and what obstacles are faced by the Sinjai Regency DPRD in implementing the supervisory function of the Sinjai Regent's policies. The research method used in this study is a qualitative descriptive method. The results of the study show that the implementation of the supervisory function of the Sinjai Regency DPRD has not implemented a systematic oversight mechanism, meaning that even though the supervision carried out by each commission is scheduled by the secretariat of the council, not most of the monitoring results are not followed up according to the mechanism in the DPRD. Hearings or hearings, official work visits or inspections as well as public complaints have not been prepared in a systematic pattern of activities, meaning which steps take precedence when following up on existing

Multifractal spin-glass chaos projection and interrelation of multicultural music and brain signals

A complexity classification scheme is developed from the fractal spectra of spin-glass chaos and demonstrated with multigeographic multicultural music and brain electroencephalogram signals. Systematic patterns are found to emerge. Chaos under scale change is the essence of spin-glass ordering and can be obtained, continuously tailor-made, from the exact renormalization-group solution of Ising models on frustrated hierarchical lattices. The music pieces are from genres of Turkish music, namely Arabesque, Rap, Pop, Classical, and genres of Western music, namely Blues, Jazz, Pop, Classical. A surprising group defection occurs.

A tale of three fluids: Fluid-inclusion and carbonate clumped-isotope paleothermometry reveals complex dolomitization and dedolomitization history of the Latemar platform

Abstract This work focuses on an exceptionally complex natural laboratory, the Triassic Latemar isolated platform in the Dolomite Mountains of northern Italy. It explores spatial and temporal gradients in processes and products related to contact metamorphism, dolomitization, and the dedolomitization of marine limestones. Rock samples were studied using dual fluid-inclusion thermometry and clumped-isotope thermometry. Independent of the spatial position at Latemar, Δ47 clumped-isotope and fluid-inclusion data provide contrasting paleotemperature estimates. An apparent lack of systematic patterns in fluid-inclusion data (homogenization temperature, salinity, density) results from analyses of micrometer-sized growth zones within a single crystal. The composition of the individual fluid inclusions represents a “snapshot” of fluid mixing with variable endmember elemental ratios. The bulk crush-leach data and slopes in Caexcessversus Nadeficit diagrams indicate different water–rock interactions and fluid signatures with evaporation sequences and crystalline rocks. The presence of three fluid types (crystalline basement brine, halite-dissolution brine, seawater) in all carbonates suggests that all fluids coexisted during contact metamorphism and dolomitization of Latemar carbonates. Non-equilibrium processes overruled thermodynamic controls on the precipitation of diagenetic phases. Fluid mixing resulted in the precipitation of two complex carbonate successions. The Δ47 data represent bulk temperatures, averaging the mixing ratio of fluids with different temperatures and their respective volume. Fluid-inclusions record patterns of remarkable complexity and shed light on the complexity of a multi-fluid system. Data shown here provide answers to the controversial interpretation of dolomitizing fluid temperature in the Latemar and exemplify the strengths of multi-proxy paleotemperature studies.

Landscape dynamics and human disturbance processes in wetlands in a mining city: a case study in Huaibei, China.

Wetlands are fragile ecosystems that are sensitive to human activities. In mining cities with high groundwater tables, underground mining, urbanization, and land reclamation cause severe disturbance to wetland landscape patterns, which poses a serious threat to the integrity and sustainability of the regional wetland ecosystems. This paper extracted the dynamic patterns of wetlands in Huaibei, China, from the Landsat TM/ETM remote sensing images with a time duration of 30years from 1991 to 2021. The land-use transfer matrix and the landscape metrics were used to analyze the dynamic evolution of the wetland landscape patterns in this typical mining city. Afterwards, the human disturbance changes in the wetlands during the past 30years were analyzed by the human disturbance transformation index (HTI). The correlation between the HTI and the changes in the landscape metrics were analyzed to reflect the influences of different human disturbance mechanisms on the evolution of the wetland landscape patterns. The results indicated that the wetland areas gradually increased with rising human disturbance levels from 1991 to 2021. However, the wetland landscape patterns showed a trend of declining landscape connectivity and fragmentation. The human disturbance levels to the wetlands were found significantly increased from 1991 to 2005 and from 2010 to 2015, and declined from 2005 to 2010 and from 2015 to 2021. The correlation between the HTI and landscape metrics indicates that current ecological restoration planning has limitations in improving the wetland landscape patterns. In the future, it is necessary to formulate systematic wetland landscape patterns restoration planning that covers the overall area according to the evolutionary trend of wetlands.

High-resolution surface electromyographic activities of facial muscles during mimic movements in healthy adults: A prospective observational study.

Surface electromyography (sEMG) is a standard tool in clinical routine and clinical or psychosocial experiments also including speech research and orthodontics to measure the activity of selected facial muscles to objectify facial movements during specific facial exercises or experiments with emotional expressions. Such muscle-specific approaches neglect that facial muscles act more as an interconnected network than as single facial muscles for specific movements. What is missing is an optimal sEMG setting allowing a synchronous measurement of the activity of all facial muscles as a whole. A total of 36 healthy adult participants (53% women, 18-67 years) were included. Electromyograms were recorded from both sides of the face using an arrangement of electrodes oriented by the underlying topography of the facial muscles (Fridlund scheme) and simultaneously by a geometric and symmetrical arrangement on the face (Kuramoto scheme). The participants performed a standard set of different facial movement tasks. Linear mixed-effects models and adjustment for multiple comparisons were used to evaluate differences between the facial movement tasks, separately for both applied schemes. Data analysis utilized sEMG amplitudes and also their maximum-normalized values to account for amplitude differences between the different facial movements. Surface electromyography activation characteristics showed systematic regional distribution patterns of facial muscle activation for both schemes with very low interindividual variability. The statistical significance to discriminate between the different sEMG patterns was good for both schemes (significant comparisons for sEMG amplitudes: 87.3%, both schemes, normalized values: 90.9%, Fridlund scheme, 94.5% Kuramoto scheme), but the Kuramoto scheme performed considerably superior. Facial movement tasks evoke specific patterns in the complex network of facial muscles rather than activating single muscles. A geometric and symmetrical sEMG recording from the entire face seems to allow more specific detection of facial muscle activity patterns during facial movement tasks. Such sEMG patterns should be explored in more clinical and psychological experiments in the future.

Phonetic Symbolism in First Names

Interest in the phenomenon of sound symbolism, in which certain phonemes might be inherently associated with certain things, dates back to 400 B.C. While it has been assumed in most modern theories of linguistics that the relation between sound and meanings is arbitrary, an increasing number of studies have shown that there can be systematic sound-meaning associations. Among such systematic patterns is phonetic symbolism due to the iconicity between sound and meaning. Building upon earlier findings concerning the correlation between male and female names and certain sound classes found in English language, this study examines phonetic patterns, voiceless obstruents and sonorant consonants of the top 100 first names in four languages. The purpose of this study is to show that these tendencies may generally hold among existing first names in other languages as well. The results show that voiceless obstruents tend to be used more frequently in male names than in female names, and sonorant consonants tend to be used more frequently in female names than in male names. Indeed, this study offers further indications concerning this phenomenon, in which phonetic symbolism is not restricted to nonwords and can be found in real first names across languages. It sheds light on the phonetic factors, namely acoustics and other phonological characteristics that might trigger this systematic association.

Role of path information in visual perception of joint stiffness.

Humans have an astonishing ability to extract hidden information from the movement of others. In previous work, subjects observed the motion of a simulated stick-figure, two-link planar arm and estimated its stiffness. Fundamentally, stiffness is the relation between force and displacement. Given that subjects were unable to physically interact with the simulated arm, they were forced to make their estimates solely based on observed kinematic information. Remarkably, subjects were able to correctly correlate their stiffness estimates with changes in the simulated stiffness, despite the lack of force information. We hypothesized that subjects were only able to do this because the controller used to produce the simulated arm's movement, composed of oscillatory motions driving mechanical impedances, resembled the controller humans use to produce their own movement. However, it is still unknown what motion features subjects used to estimate stiffness. Human motion exhibits systematic velocity-curvature patterns, and it has previously been shown that these patterns play an important role in perceiving and interpreting motion. Thus, we hypothesized that manipulating the velocity profile should affect subjects' ability to estimate stiffness. To test this, we changed the velocity profile of the simulated two-link planar arm while keeping the simulated joint paths the same. Even with manipulated velocity signals, subjects were still able to estimate changes in simulated joint stiffness. However, when subjects were shown the same simulated path with different velocity profiles, they perceived motions that followed a veridical velocity profile to be less stiff than that of a non-veridical profile. These results suggest that path information (displacement) predominates over temporal information (velocity) when humans use visual observation to estimate stiffness.

Active Data Science for Improving Clinical Risk Prediction

Clinical risk prediction models are commonly developed in a post-hoc and passive fashion, capitalizing on convenient data from completed clinical trials or retrospective cohorts. Impacts of the models often end at their publication rather than with the patients. The field of clinical risk prediction is rapidly improving in a progressively more transparent data science era. Based on collective experience over the past decade by the Prostate Biopsy Collaborative Group (PBCG), this paper proposes the following four data science-driven strategies for improving clinical risk prediction to the benefit of clinical practice and research. The first proposed strategy is to actively design prospective data collection, monitoring, analysis and validation of risk tools following the same standards as for clinical trials in order to elevate the quality of training data. The second suggestion is to make risk tools and model formulas available online. User-friendly risk tools will bring quantitative information to patients and their clinicians for improved knowledge-based decision-making. As past experience testifies, online tools expedite independent validation, providing helpful information as to whether the tools are generalizable to new populations. The third proposal is to dynamically update and localize risk tools to adapt to changing demographic and clinical landscapes. The fourth strategy is to accommodate systematic missing data patterns across cohorts in order to maximize the statistical power in model training, as well as to accommodate missing information on the end-user side too, in order to maximize utility for the public.

Improving User Intent Detection in Urdu Web Queries with Capsule Net Architectures

Detecting the communicative intent behind user queries is critically required by search engines to understand a user’s search goal and retrieve the desired results. Due to increased web searching in local languages, there is an emerging need to support the language understanding for languages other than English. This article presents a distinctive, capsule neural network architecture for intent detection from search queries in Urdu, a widely spoken South Asian language. The proposed two-tiered capsule network utilizes LSTM cells and an iterative routing mechanism between the capsules to effectively discriminate diversely expressed search intents. Since no Urdu queries dataset is available, a benchmark intent-annotated dataset of 11,751 queries was developed, incorporating 11 query domains and annotated with Broder’s intent taxonomy (i.e., navigational, transactional and informational intents). Through rigorous experimentation, the proposed model attained the state of the art accuracy of 91.12%, significantly improving upon several alternate classification techniques and strong baselines. An error analysis revealed systematic error patterns owing to a class imbalance and large lexical variability in Urdu web queries.

From Positive to Idealistic: A Methodological Critique of Positive Psychology for Better Research on Idealistic Mentalities in Chinese Spiritual Traditions

Chinese spiritual traditions such as Buddhism, Confucianism, and Taoism all emphasize the cultivation of idealistic mentalities (IMs) which are (1) not yet achieved, (2) clear in value judgment, (3) systematic and stable, and (4) cultivated with systematic training. While IMs are of interest to positive psychology, the methodology of positive psychology limits research on IMs. Fundamentally, positive psychology focuses on widely existing positive concepts and emphasizes being value-free, which conflicts with the features of IMs. Positive psychological studies relevant to IMs also suffer from methodological limitations: (1) recruiting samples without a spiritual background (realistic assumption); (2) ignoring qualitative differences between levels of actualization of IMs (linear assumption); (3) dividing systematic mental patterns into separate elements (reductionism); and (4) lacking value clarification during interventions. In summary, this article illustrates the methodological limitations of positive psychology in research on IMs. It encourages further research on IMs and supports the necessity of developing a new idealistic psychology for better research on IMs.

Accurate gene consensus at low nanopore coverage.

Nanopore technologies allow high-throughput sequencing of long strands of DNA at the cost of a relatively large error rate. This limits its use in the reading of amplicon libraries in which there are only a few mutations per variant and therefore they are easily confused with the sequencing noise. Consensus calling strategies reduce the error but sacrifice part of the throughput on reading typically 30 to 100 times each member of the library. In this work, we introduce SINGLe (SNPs In Nanopore reads of Gene Libraries), an error correction method to reduce the noise in nanopore reads of amplicons containing point variations. SINGLe exploits that in an amplicon library, all reads are very similar to a wild-type sequence from which it is possible to experimentally characterize the position-specific systematic sequencing error pattern. Then, it uses this information to reweight the confidence given to nucleotides that do not match the wild-type in individual variant reads and incorporates it on the consensus calculation. We tested SINGLe in a mutagenic library of the KlenTaq polymerase gene, where the true mutation rate was below the sequencing noise. We observed that contrary to other methods, SINGLe compensates for the systematic errors made by the basecallers. Consequently, SINGLe converges to the true sequence using as little as 5 reads per variant, fewer than the other available methods.

An orderly sequence of autonomic and neural events at transient arousal changes

Resting-state functional magnetic resonance imaging (rsfMRI) allows the study of functional brain connectivity based on spatially structured variations in neuronal activity. Proper evaluation of connectivity requires removal of non-neural contributions to the fMRI signal, in particular hemodynamic changes associated with autonomic variability. Regression analysis based on autonomic indicator signals has been used for this purpose, but may be inadequate if neuronal and autonomic activities covary. To investigate this potential co-variation, we performed rsfMRI experiments while concurrently acquiring electroencephalography (EEG) and autonomic indicator signals, including heart rate, respiratory depth, and peripheral vascular tone. We identified a recurrent and systematic spatiotemporal pattern of fMRI (named as fMRI cascade), which features brief signal reductions in salience and default-mode networks and the thalamus, followed by a biphasic global change with a sensory-motor dominance. This fMRI cascade, which was mostly observed during eyes-closed condition, was accompanied by large EEG and autonomic changes indicative of arousal modulations. Importantly, the removal of the fMRI cascade dynamics from rsfMRI diminished its correlations with various signals. These results suggest that the rsfMRI correlations with various physiological and neural signals are not independent but arise, at least partly, from the fMRI cascades and associated neural and physiological changes at arousal modulations.

A Strategy to Prevent Radicalism at Integrated of Islamic Elementary School Students

The purpose of this study was to determine the school's strategy for preventing radicalism in integrated Islamic elementary schools. The type of research used was qualitative with data collection techniques of observation, interviews and documentation, then analyzed the data by reduction. The results of this study indicate, first: The integration of the Integrated Islamic Elementary School learning curriculum in the city of Padang is divided into four types, namely strengthening the curriculum that applies to strengthening character, and strengthening students' personal in order to face global challenges. Second, the strategy in extracurricular activities is carried out in a structured and systematic pattern. The three environmental creation strategies are pursued in an Islamic atmosphere, non-discriminatory, based on genetic characteristics, upholding ethical values, respecting cultural pluralism, and being polite to school members. The four strategies for routine, spontaneous and exemplary activities in an effort to prevent radicalism are carried out by strengthening character, combining learning activities, nurturing and habituation in the form of worship activities, order, neatness and cleanliness, eating and drinking, and social behaviour.

Micro-Encapsulated Microalgae Oil Supplementation Has No Systematic Effect on the Odor of Vanilla Shake-Test of an Electronic Nose.

In this study, we aimed to carry out the efficient fortification of vanilla milkshakes with micro-encapsulated microalgae oil (brand: S17-P100) without distorting the product's odor. A 10-step oil-enrichment protocol was developed using an inclusion rate of 0.2 to 2 w/w%. Fatty acid (FA) profile analysis was performed using methyl esters with the GC-MS technique, and the recovery of docosahexaenoic acid (C22:6 n3, DHA) was robust (r = 0.97, p < 0.001). The enrichment process increased the DHA level to 412 mg/100 g. Based on this finding, a flash-GC-based electronic nose (e-nose) was used to describe the product's odor. Applying principal component (PC) analysis to the acquired sensor data revealed that for the first four PCs, only PC3 (6.5%) showed a difference between the control and the supplemented products. However, no systematic pattern of odor profiles corresponding to the percentages of supplementation was observed within the PC planes. Similarly, when discriminant factor analysis (DFA) was applied, though a classification of the control and supplemented products, we obtained a validation score of 98%, and the classification pattern of the odor profiles did not follow a systematic format. Again, when a more targeted approach such as the partial least square regression (PLSR) was used on the most dominant sensors, a weak relationship (R2 = 0.50) was observed, indicating that there was no linear combination of the qualitative sensors' signals that could accurately describe the supplemented concentration variation. It can therefore be inferred that no detectable off-odor was present as a side effect of the increase in the oil concentration. Some volatile compounds of importance in regard to the odor, such as ethylacetate, ethyl-isobutarate, pentanal and pentyl butanoate, were found in the supplemented product. Although the presence of yeasts and molds was excluded from the product, ethanol was detected in all samples, but with an intensity that was insufficient to cause an off-odor.