Anton Korošec in padec vlade Milana Stojadinovića. O zarotah in zarotnikih

The author discusses the role of Anton Korošec in the downfall of the Milan Stojadinović government in February 1939, one of the more exciting moments of the Kingdom of Yugoslavia. He confronts some theoretical issues when explaining the background of the political conspiracy, which he conceives as the contrast between public and politically legitimized action. First, the meaning of structure and event. Can the government's downfall be understood as an event that happened instantaneously and was not inevitable, or can it be seen as necessary, even long-planned? Furthermore, the author wonders whether it is possible to describe the events only utilizing rational analysis and causal sequence or something missing in the process. The discussion structure is based on a chronologically challenging concept: the definition is followed by a temporal, political, and spatial contextualization, then by a cause-and-effect analysis, and finally by a conclusion.

Text Creation in Novel Narrative

Exposition (SASATSGS) is a knowledge-based field used to explain the various elements and functions of story description. Morphology is the basis of exposition. The basis of exposition is the subtle units invisible to the language. The expositioners have developed some basic definitions for the creation of panual. The narrative or the story can be constructed by combining the events with the narrative. Through this, the narrator easily reaches the reader. Story programs can be integrated into time and causality. Novelists often rely on programs to build stories. Some people set up story shows in a linear manner in chronological order. Modern novelists have set up programs through causal communication. In this manner, the programmes have been dissolved. The reader with reading experience learns the causal connection and understands the story. Sundara Ramasamy, Jayamohan and Shobashakti have successfully set up the programmes of the story in a time-based series. The reader who reads their novels easily identifies the operating system of the story. In Nakulan's novel Dogs, a causal sequence has been adopted to coordinate the programmes. The reader who reads this could not immediately understand the flow of the story. They are a slightly difficult series. Charu Nivedita's novel 'Dekam' and MG Suresh's 'Spider' are in a causal sequence. Sundara Ramasamy and Shobashakti are seen in their novels in the same programme. Novels are divided into small elements based on the definition review and innovative results are available.

On local intrinsic dimensionality of deformation in complex materials

We propose a new metric called s-LID based on the concept of Local Intrinsic Dimensionality to identify and quantify hierarchies of kinematic patterns in heterogeneous media. s-LID measures how outlying a grain’s motion is relative to its s nearest neighbors in displacement state space. To demonstrate the merits of s-LID over the conventional measure of strain, we apply it to data on individual grain motions in a set of deforming granular materials. Several new insights into the evolution of failure are uncovered. First,s-LID reveals a hierarchy of concurrent deformation bands that prevails throughout loading history. These structures vary not only in relative dominance but also spatial and kinematic scales. Second, in the nascent stages of the pre-failure regime, s-LID uncovers a set of system-spanning, criss-crossing bands: microbands for small s and embryonic-shearbands at large s, with the former being dominant. At the opposite extreme, in the failure regime, fully formed shearbands at large s dominate over the microbands. The novel patterns uncovered from s-LID contradict the common belief of a causal sequence where a subset of microbands coalesce and/or grow to form shearbands. Instead, s-LID suggests that the deformation of the sample in the lead-up to failure is governed by a complex symbiosis among these different coexisting structures, which amplifies and promotes the progressive dominance of the embryonic-shearbands over microbands. Third, we probed this transition from the microband-dominated regime to the shearband-dominated regime by systematically suppressing grain rotations. We found particle rotation to be an essential enabler of the transition to the shearband-dominated regime. When grain rotations are completely suppressed, this transition is prevented: microbands and shearbands coexist in relative parity.

Learning Temporal Causal Sequence Relationships from Real-Time Time-Series

We aim to mine temporal causal sequences that explain observed events (consequents) in time-series traces. Causal explanations of key events in a time-series have applications in design debugging, anomaly detection, planning, root-cause analysis and many more. We make use of decision trees and interval arithmetic to mine sequences that explain defining events in the time-series. We propose modified decision tree construction metrics to handle the non-determinism introduced by the temporal dimension. The mined sequences are expressed in a readable temporal logic language that is easy to interpret. The application of the proposed methodology is illustrated through various examples.

Equity Contracts and Incentive Design in Start-Up Teams

Entrepreneurial teams assign equity positions in their start-ups using a term sheet that details equity splits and the conditions for being granted those splits. The design of equity split agreements has attracted considerable attention in the entrepreneurial community, with no convergence on a single preferred contract form. This paper experimentally examines the effectiveness of different contractual arrangements, focusing in particular on the effects of contract form and contracting timing on founder effort and on the value of the venture. Our results suggest that performance improves with the incentive strength of the contract, but they question the conventional logic that this effect is causal. Instead, we suggest a novel causal sequence. Rather than the contract form being the primitive and the behavior the derived consequence, our results suggest the reverse. The differences in contract performance are driven primarily by the sorting of high contributors into nonequal contracts and of low contributors into equal contracts; that is, equal contracts are bad for team performance not because of their incentive strength but because of the founder types that adopt them. Taken together, these results suggest that both investors and founders should pay as much (or more) attention to personality type as they do to contract form. This paper was accepted by Serguei Netessine, operations management.

Causal Inference in Industrial Alarm Data byTimely Clustered Alarms and Transfer Entropy

In large-scale industrial plants, alarm management system (AMS) has a critical role in safety and efficiency of the plant. High degree of connectivity in large-scale plants results in high degree of dependencies between the generated alarms, and thus in any abnormal condition, a huge number of alarms are presented to the operator. This phenomenon is known as alarm flood, which might lead to a hazardous situation if the operator cannot handle them. Therefore, an efficient alarm analysis system is required to assist the operator by detecting the sequence of alarms and the root-cause analysis between them. In this paper, a data-driven method using the alarm log file is proposed to detect the causal sequence of the alarms. In this method, an efficient alarm clustering based on time distance between the alarms is proposed to keep the timely close alarms in one cluster. This clustering approach can help to preserve the neighboring alarms in one cluster. By similarity analysis between the detected clusters, the similar clusters can form a category of alarms. Each category and the clusters inside them are further analyzed for root-cause detection by means of transfer entropy. Finally, the proposed method is evaluated with an industrial alarm data

Causal Inference in Industrial Alarm Data byTimely Clustered Alarms and Transfer Entropy

In large-scale industrial plants, alarm management system (AMS) has a critical role in safety and efficiency of the plant. High degree of connectivity in large-scale plants results in high degree of dependencies between the generated alarms, and thus in any abnormal condition, a huge number of alarms are presented to the operator. This phenomenon is known as alarm flood, which might lead to a hazardous situation if the operator cannot handle them. Therefore, an efficient alarm analysis system is required to assist the operator by detecting the sequence of alarms and the root-cause analysis between them. In this paper, a data-driven method using the alarm log file is proposed to detect the causal sequence of the alarms. In this method, an efficient alarm clustering based on time distance between the alarms is proposed to keep the timely close alarms in one cluster. This clustering approach can help to preserve the neighboring alarms in one cluster. By similarity analysis between the detected clusters, the similar clusters can form a category of alarms. Each category and the clusters inside them are further analyzed for root-cause detection by means of transfer entropy. Finally, the proposed method is evaluated with an industrial alarm data

Quantum Occasionalism

Both transition and transformation link the ideal and material into a whole. Future is what “causes” the present, and the latter in turn is what “causes” the past. That kind of “reverse causality” needs free choice and free will in the present in order to be able to be realized unlike classical causality. A few properties feature the concept of “quantum occasionalism” as follows. Some hypothetical entity generates successively a series of well-ordered states. That hypothetical entity is called “coherent state” in quantum mechanics and defined as a superposition of all possible states of the quantum system. The already generated well-ordered series can be interpreted as a causal sequence. Thus the generating cause remains hidden behind the visible well-ordering of the series and hides itself behind the perfect visible order created by it. That visible order only seems to cause itself by itself.

Quartz crystals in Toba rhyolites show textures symptomatic of rapid crystallization

Textural and chemical heterogeneities in igneous quartz crystals preserve unique records of silicic magma evolution, yet their origins and applications are controversial. To improve our understanding of quartz textures and their formation, we examine those in crystal-laden rhyolites produced by the 74 ka Toba supereruption (>2800 km3) and its post-caldera extrusions. Quartz crystals in these deposits can reach unusually large sizes (10–20 mm) and are rife with imperfections and disequilibrium features, including embayments, melt inclusions, titanomagnetite and apatite inclusions, spongy morphologies, hollow faces, subgrain boundaries, multiple growth centers, and Ti-enriched arborescent zoning. Using a combination of qualitative and quantitative analyses (petrography, CL, EBSD, X-ray CT, LA-ICPMS), we determine that those textures commonly thought to signify crystal resorption, crystal deformation, synneusis, or fluctuating P–T conditions are here a consequence of rapid disequilibrium crystal growth. Most importantly, we discover that an overarching process of disequilibrium crystallization is manifested among these crystal features. We propose a model whereby early skeletal to dendritic quartz growth creates a causal sequence of textures derived from lattice mistakes that then proliferate during subsequent stages of slower polyhedral growth. In a reversed sequence, the same structural instabilities and defects form when slow polyhedral growth transitions late to fast skeletal-dendritic growth. Such morphological transitions result in texture interdependencies that become recorded in the textural-chemical stratigraphy of quartz, which may be unique to each crystal. Similar findings in petrologic experimental studies allow us to trace the textural network back to strong degrees of undercooling and supersaturation in the host melt, conditions likely introduced by dynamic magmatic processes acting on short geologic timescales. Because the textural network can manifest in single crystals, the overall morphology and chemistry of erupted quartz can reflect not only its last but its earliest growth behavior in the melt. Thus, our findings imply that thermodynamic disequilibrium crystallization can account for primary textural and chemical heterogeneities preserved in igneous quartz and may impact the application of quartz as a petrologic tool.

Decoding the causation of a happy ending

This study addresses the question of causation in common human efforts to achieve and maintain happiness by attempting to gain insights into the causation of a happy ending in narratives, doing so through the investigation of an example of the metaphorical pursuit of happiness, as presented in the theme of pursuing immortality. It compares two versions of the same story that ends with the agent’s failure to achieve immortality, but the two stories have different outcome emotions: the Chinese legend “Du Zichun” 杜子春 ends with a tragic tone, while “Toshishun” 杜子春, as retold by Akutagawa, ends with a happy state of mind. A closer look into the information encoded in the three main elements of the narrative structure (the goal, the causal sequence and the agent of both stories) reveals some significant differences. The process of decoding the final causation is carried out first by a comparison of the image schemas underlying the goal; second, the numeric symbolism behind the causal sequences is examined; and third, the use of positive junctural and outcome emotions. The investigation reveals that the new story with a happy ending is a product of a shift in perspective.