Search Results (10)

In this era with an increasing overabundance of information, the ability to distill relevant information, i.e., “information reduction”, is becoming more crucial to daily functioning. However, the fact that information reduction is most prominent in complex situations poses challenges for measuring and quantifying this ability. Existing assessments tend to suffer from either too little complexity, compromising ecological validity, or too much complexity, which makes distinguishing and measuring information-reduction behavior difficult. To address this gap in the literature, our study developed a novel assessment tool, the Little Monster Clinic (LMC), designed to capture the information-reduction process within complex problem-solving scenarios. Following the classic complex problem-solving (CPS) framework, LMC simulates real-world medical situations and provides a sufficiently complex task for assessing information-reduction ability. We recruited 303 students to validate our tool and identified six key indicators for information reduction, which demonstrated a high degree of internal consistency ($\alpha$ = 0.83). Structural validity from the confirmatory factor analysis (CFA) supported a one-factor model of information reduction based on the extracted indicators (${\chi }_2$ = 14.872, $df$ = 5, ${\chi }_2$/$df$ = 2.774, CFI = 0.989, TLI = 0.967, RMSEA = 0.077, SRMR = 0.024). The significant correlation (r = 0.43, p < 0.01) between LMC and Genetics Lab demonstrated its criterion-related validity. Furthermore, exploratory analysis highlighted the importance of identifying key relevant information during the process of information reduction. These findings lend support to both the theoretical foundation and practical applications of information-reduction assessment. Full article

Cyberbullying, which manifests in various forms, is a growing challenge on social media, mainly when it involves threats of violence through images, especially those featuring weapons. This study introduces a computational framework to identify such content using convolutional neural networks of weapon-related images. By integrating artificial intelligence techniques with image analysis, our model detects visual patterns associated with violent threats, creating safer digital environments. The development of this work involved analyzing images depicting scenes with weapons carried by children or adolescents. Images were sourced from social media and spatial repositories. The statistics were processed through a 225-layer convolutional neural network, achieving an 86% accuracy rate in detecting weapons in images featuring children, adolescents, and young adults. The classifier method reached an accuracy of 17.86% with training over only 25 epochs and a recall of 14.2%. Weapon detection is a complex task due to the variability in object exposures and differences in weapon shapes, sizes, orientations, colors, and image capture methods. Segmentation issues and the presence of background objects or people further compound this complexity. Our study demonstrates that convolutional neural networks can effectively detect weapons in images, making them a valuable tool in addressing cyberbullying involving weapon imagery. Detecting such content contributes to creating safer digital environments for young people. Full article

The Greek roots of the word “photodynamic” are as follows: “phos” (φ$\stackrel{\mathrm{~}}{\mathsf{\omega }}$ς) means “light” and “dynamis” (δύναμις) means “force” or “power”. Photodynamic therapy (PDT) is an innovative treatment method based on the ability of photosensitizers to produce reactive oxygen species after the exposure to light that corresponds to an absorbance wavelength of the photosensitizer, either in the visible or near-infrared range. This process results in damage to pathological cancer cells, while minimizing the impact on healthy tissues. PDT is a promising direction in the treatment of many diseases, with particular emphasis on the fight against cancer and other diseases associated with excessive cell growth. The power of light contributed to the creation of phototherapy, whose history dates back to ancient times. It was then noticed that some substances exposed to the sun have a negative effect on the body, while others have a therapeutic effect. This work provides a detailed review of photodynamic therapy, from its origins to the present day. It is surprising how a seemingly simple beam of light can have such a powerful healing effect, which is used not only in dermatology, but also in oncology, surgery, microbiology, virology, and even dentistry. However, despite promising results, photodynamic therapy still faces many challenges. Moreover, photodynamic therapy requires further research and improvement. Full article

The position usually called “process theism” is seldom called this by one of its most important defenders, Charles Hartshorne. The label he typically uses is “neoclassical theism”. It is important to notice that these two designations are not equivalent. To speak of process theism is to accentuate the differences between this metaphysical view and an opposing metaphysical stance, that of traditional or substantialist theism. By way of contrast, to speak of neoclassical theism is not to accentuate differences but rather the inclusion of one metaphysical tradition within another. That is, the neoclassical theism of Hartshorne (along with that of A.N. Whitehead, John Cobb, and David Ray Griffin, et al.) is both “neo” and “classical”. The compatibility between the best insights of classical theism and the best in neoclassical theism is evidenced in Hartshorne’s startling claim that he learned almost as much from St. Thomas Aquinas as he did from Whitehead! Although Hartshorne spent a good deal of his career pointing out that classical theism was shipwrecked on certain rocks of contradiction (neo), Thomas, more than anyone else, has provided us with an admirable chart showing the location of the rocks (classical). Three different topics will be emphasized in my defense of the thesis that “process theism” tends to be a polemical designation, in contrast to the more irenic “neoclassical theism”. The first of these is the contrast between monopolar and dipolar metaphysics. In the divine case, the neoclassical theist emphasizes the claim that, in partial contrast to the classical theistic God who does not in any way change, God always changes, and both of these words are important. The second topic is the commonplace in “process” thought that one of the most important passages in the history of metaphysical writing is in Plato’s Sophist (247e), where it is suggested that being is power or dynamis, specifically the power, however slight, both to affect other beings and to be affected by them. The third topic is Whiteheadian prehension, wherein a metaphysical thinker in the present can literally grasp and include the best insights from previous metaphysical traditions and partially transform them by bringing them into a larger whole. Full article

Coupling several natural and synthetic lures with aggregation pheromones from the palm weevils Rhynchophorus palmarum and R. ferrugineus reveals a synergy that results in an increase in pest captures. The combined attraction of pure pheromones, ethyl acetate, and decaying sweet and starchy plant tissue increases the net total of mass-trapped weevils. The 2018 entrance of the red palm weevil (RPW) into South America has threatened palm-product income in Brazil and other neighboring countries. The presence of the new A1 quarantine pest necessitates the review of all available options for a sustainable mass-trapping, monitoring, and control strategy to ultimately target both weevils with the same device. The effective lure-blend set for the mass-trapping system will attract weevils in baiting and contaminating stations for entomopathogenic fungi that the same weevils will spread. Full article

Although blockchain is acknowledged as one of the most important technologies to lead the fourth industrial revolution, major technical challenges regarding security breach and privacy issues remain. This issue is particularly sensitive in applied medical fields where personal health information is handled within the network. In addition, contemporary blockchain-converged solutions do not consider restricted medical data regulations that are still obstacles in many countries worldwide. This implies a crucial need for a system or solution that is suitable for the healthcare sector. Therefore, this article proposes the development of a dynamic consent medical blockchain system called DynamiChain, based on a ruleset management algorithm for handling health examination data. Moreover, medical blockchain-related studies were systematically reviewed to prove the novelty of DynamiChain. The proposed system was implemented in a scenario where the exercise management healthcare company provided health management services based on data obtained from the data provider’s hospital. The proposed research is envisioned to provide a widely compatible blockchain medical system that could be applied in future healthcare fields. Full article

This study provides an illustrated synoptic key and comparative morphology to the 38 known larvae of dryophthorine genera representing seven subtribes in four of the five tribes: Cactophagus LeConte, Cosmopolites Chevrolat, Cyrtotrachelus Schoenherr, Diathetes Pascoe, Diocalandra Faust, Dryophthoroides Roelofs, Dryophthorus Germar, Dynamis Chevrolat, Eucalandra Faust, Eugnoristus Schoenherr, Foveolus Vaurie, Mesocordylus Lacordaire, Metamasius Horn, Metamasius (=Paramasius Kuschel), Myocalandra Faust, Nassophasis Waterhouse, Nephius Pascoe, Odoiporus Chevrolat, Phacecorynes Schoenherr, Polytus Faust, Poteriophorus Schoenherr, Rhabdoscelus Marshall, Rhinostomus Rafinesque, Rhodobaenus LeConte, Rhynchophorus Herbst, Scyphophorus Schoenherr, Sipalinus Marshall, Sitophilus Schoenherr, Sparganobasis Marshall, Sphenophorus Schoenherr, Stenommatus Wollaston, Temnoschoita Chevrolat, Trigonotarsus Guerin-Meneville, Trochorhopalus Kirsch, Tryphetus Faust, Xerodermus Lacordaire, and Yuccaborus LeConte. Only Prodioctes Pascoe was not included due to lack of specimens to examine. Seven genera are reported here for the first time. Detailed line drawings of the mouthparts of 37 genera are provided. The synoptic key is a multi-entry key, different from a traditional, single entry dichotomous key, which allows the user to identify dryophthorine larvae using any combination of characters (couplets). A total of 52 characters are included. This study provides support for the retention of Stromboscerini in the subfamily. Full article

Automated source code documentation approaches often describe methods in abstract terms, using the words contained in the static source code or code excerpts from repositories. In this paper, we describe DynamiDoc: a simple automated documentation generator based on dynamic analysis. Our representation-based approach traces the program being executed and records string representations of concrete argument values, a return value and a target object state before and after each method execution. Then, for each method, it generates documentation sentences with examples, such as “When called on [3, 1.2] with element = 3, the object changed to [1.2]”. Advantages and shortcomings of the approach are listed. We also found out that the generated sentences are substantially shorter than the methods they describe. According to our small-scale study, the majority of objects in the generated documentation have their string representations overridden, which further confirms the potential usefulness of our approach. Finally, we propose an alternative, variable-based approach that describes the values of individual member variables, rather than the state of an object as a whole. Full article

In this paper we discuss how the lack of a common framework in Complex Problem Solving (CPS) creates a major hindrance to a productive integration of findings and insights gained in its 40+-year history of research. We propose a framework that anchors complexity within the tri-dimensional variable space of Person, Task and Situation. Complexity is determined by the number of information cues that need to be processed in parallel. What constitutes an information cue is dependent on the kind of task, the system or CPS scenario used and the task environment (i.e., situation) in which the task is performed. Difficulty is conceptualised as a person’s subjective reflection of complexity. Using an existing data set of N = 294 university students’ problem solving performances, we test the assumption derived from this framework that particular system features such as numbers of variables (NoV) or numbers of relationships (NoR) are inappropriate indicators of complexity. We do so by contrasting control performance across four systems that differ in these attributes. Results suggest that for controlling systems (task) with semantically neutral embedment (situation), the maximum number of dependencies any of the output variables has is a promising indicator of this task’s complexity. Full article

Quality web service discovery requires narrowing the search space from an overwhelming set of services down to the most relevant ones, while matching the consumer’s request. Today, the ranking of services only considers static attributes or snapshots of current attribute values, resulting in low-quality search results. To satisfy the user’s need for timely, well-chosen web services, we ought to consider quality of service attributes. The problem is that dynamic attributes can be difficult to measure, frequently fluctuate, are context-sensitive and depend on environmental factors, such as network availability at query time. In this paper, we propose the Dynamis algorithm to address these challenges effectively. Dynamis is based on well-established database techniques, such as skyline and aggregation. We illustrate our approach using observatory telescope web services and experimentally evaluate it using stock market data. In our evaluation, we show significant improvement in service selection over existing techniques. Full article