Realita Kompleks Pemimpin Kristen

The purpose of this study is to describe the context of change faced by today's leaders. Change is a necessary and inevitable thing that must be faced wisely by a leader. In this decade, there have been very rapid changes in the context of people's lives that need to be observed and dealt with appropriately by a leader. This needs to be researched and discussed to be considered by today's leaders. This study uses a qualitative research approach. Data collection techniques are library research and observation. The collected data are presented and analyzed qualitatively. The results show that the contexts faced by today's leaders are postmodernism and globalization which bring challenges to individualism, materialism and hedonism. The rapid progress of information and communication technology has become an agent of fundamental change in world culture, including changes in value orientation. Pluralism and emancipation are also a global culture today. The world is now in rapid change all the time, for that we need leaders who are visionary, spiritual and have high integrity, are ethical, innovative and pluralist. Keywords: Christian distinction, context change, globalization, leadership, postmodernism. Abstrak: Tujuan dari penelitian ini adalah untuk menguraikan konteks perubahan yang dihadapi oleh para pemimpin dewasa ini. Perubahan adalah suatu hal niscaya dan tak terelakkan yang harus dihadapai secara bijaksana oleh seorang pemimpin. Dekade ini terjadi perubahan yang sangat cepat dalam konteks kehidupan masyarakat yang perlu dicermati dan dihadapi secara tepat oleh seorang pemimpin. Hal ini perlu diteliti dan dibahas untuk menjadi bahan pertimbangan bagi para pemimpin saat ini. Penelitian ini menggunakan pendekatan penelitian kualitatif. Teknik pengumpulan data adalah penelitian pustaka dan observasi. Data-data yang terkumpul disajikan dan dianalisis secara kualitatif. Hasil penelitian menunjukkan bahwa konteks yang dihadapi oleh pemimpin masa kini adalah postmodernisme dan globalisasasi yang membawa tantangan individualism, materialism dan hedonism. Kemajuan pesat teknologi informasi dan komunikasi menjadi termasuk perubahan orientasi nilai. Pluralisme dan emansipasi juga menjadi budaya global saat ini. Dunia sekarang berada dalam perubahan pesat setiap saat, untuk itu dibutuhkan pemimpin yang visioner, berspiritualitas dan integritas tinggi, beretika, inovatif dan pluralis. Kata-kata Kunci: Distingsi kristiani, kepemimpinan, globalisasi, perubahan konteks, postmodernisme,

Staying Active under Restrictions: Changes in Type of Physical Exercise during the Initial COVID-19 Lockdown

The COVID-19 pandemic and the associated governmental restrictions suddenly changed everyday life and potentially affected exercise behavior. The aim of this study was to explore whether individuals changed their preference for certain types of physical exercise during the pandemic and to identify risk factors for inactivity. An international online survey with 13,881 adult participants from 18 countries/regions was conducted during the initial COVID-19 related lockdown (between April and May 2020). Data on types of exercise performed during and before the initial COVID-19 lockdown were collected, translated, and categorized (free-text input). Sankey charts were used to investigate these changes, and a mixed-effects logistic regression model was used to analyze risks for inactivity. Many participants managed to continue exercising but switched from playing games (e.g., football, tennis) to running, for example. In our sample, the most popular exercise types during the initial COVID-19 lockdown included endurance, muscular strength, and multimodal exercise. Regarding risk factors, higher education, living in rural areas, and physical activity before the COVID-19 lockdown reduced the risk for inactivity during the lockdown. In this relatively active multinational sample of adults, most participants were able to continue their preferred type of exercise despite restrictions, or changed to endurance type activities. Very few became physically inactive. It seems people can adapt quickly and that the constraints imposed by social distancing may even turn into an opportunity to start exercising for some. These findings may be helpful to identify individuals at risk and optimize interventions following a major context change that can disrupt the exercise routine.

Context, attention, and the switch between habit and goal-direction in behavior

This article reviews recent findings from the author’s laboratory that may provide new insights into how habits are made and broken. Habits are extensively practiced behaviors that are automatically evoked by antecedent cues and performed without their goal (or reinforcer) “in mind.” Goal-directed actions, in contrast, are instrumental behaviors that are performed because their goal is remembered and valued. New results suggest that actions may transition to habit after extended practice when conditions encourage reduced attention to the behavior. Consistent with theories of attention and learning, a behavior may command less attention (and become habitual) as its reinforcer becomes well-predicted by cues in the environment; habit learning is prevented if presentation of the reinforcer is uncertain. Other results suggest that habits are not permanent, and that goal-direction can be restored by several environmental manipulations, including exposure to unexpected reinforcers or context change. Habits are more context-dependent than goal-directed actions are. Habit learning causes retroactive interference in a way that is reminiscent of extinction: It inhibits, but does not erase, goal-direction in a context-dependent way. The findings have implications for the understanding of habitual and goal-directed control of behavior as well as disordered behaviors like addictions.

Incremental Learning in Multiple Limb Positions for Electromyography-Based Gesture Recognition using Hyperdimensional Computing

<div>Prosthetic control for rehabilitation, among many other applications, can leverage in-sensor hand gesture recognition in which lightweight machine learning models for classifying electromyogram (EMG) signals are embedded on miniature, low-power devices. While research efforts have demonstrated high accuracy in controlled settings, these methods have yet to make a significant commercial or clinical impact due to the wide variety of scenarios and situational contexts that are faced during everyday use. Typical static models suffer from the effects of EMG signal variation caused by changing contexts in which they are deployed. Here, we propose an incremental learning algorithm using hyperdimensional (HD) computing that can efficiently learn gesture patterns performed in new limb positions, a context-change which normally significantly degrades classification accuracy. A prototype-based learning algorithm, HD computing enables memory- and computation-efficient incorporation of new training examples into the model, while preserving information about already learned contexts. We present various configurations of the incremental HD classifier, allowing system designers to trade classification performance for implementation efficiency as measured through memory footprint. Incremental learning experiments with data from 5 subjects show that HD computing can achieve similar accuracies as incrementally trained SVM and LDA classifiers while requiring a fraction of the memory allocation. </div>

Incremental Learning in Multiple Limb Positions for Electromyography-Based Gesture Recognition using Hyperdimensional Computing

<div>Prosthetic control for rehabilitation, among many other applications, can leverage in-sensor hand gesture recognition in which lightweight machine learning models for classifying electromyogram (EMG) signals are embedded on miniature, low-power devices. While research efforts have demonstrated high accuracy in controlled settings, these methods have yet to make a significant commercial or clinical impact due to the wide variety of scenarios and situational contexts that are faced during everyday use. Typical static models suffer from the effects of EMG signal variation caused by changing contexts in which they are deployed. Here, we propose an incremental learning algorithm using hyperdimensional (HD) computing that can efficiently learn gesture patterns performed in new limb positions, a context-change which normally significantly degrades classification accuracy. A prototype-based learning algorithm, HD computing enables memory- and computation-efficient incorporation of new training examples into the model, while preserving information about already learned contexts. We present various configurations of the incremental HD classifier, allowing system designers to trade classification performance for implementation efficiency as measured through memory footprint. Incremental learning experiments with data from 5 subjects show that HD computing can achieve similar accuracies as incrementally trained SVM and LDA classifiers while requiring a fraction of the memory allocation. </div>

Weaving together the diverse threads of category change

This paper investigates category changes among imperative particles in Ancient Greek. Using diachronic evidence from the category change of the imperative ἀμέλει (amélei ‘don’t worry’ > ‘of course’) and similar imperative particles, ἄγε (áge), ἴθι (íthi), φέρε (fére), εἰπέ μοι (eipé moi) and ἰδού (idoú), this paper investigates the diachronic interdependence of intersubjectification, grammaticalization and language change in general. It does this in four ways. First, I show that intersubjectification can take place without subjectification (pace Traugott 2003: 134). Second, I detail the intersubjectification of ἀμέλει with changes in the cognitive domain (no practical > no epistemic worries), the pragmatic domain (responsively resolving > independently assuming resolved worries) and contextual conditions (creating intersubjective alignment > assuming it). Third, I tease apart the various diachronic origins of changes which have affected ἀμέλει. Finally, using contrastive evidence from parallel category changes of Ancient Greek imperative particles, I argue that whereas the imperative particles can be variously affected by structural grammaticalization changes, they all display signs of context change (as shown by illocutionary extensions to occurrence with declarative and interrogative illocutions). Thus, the diverse threads of category change can be woven together by tracing the contexts of change as well as the diachronic processes shaping them.

A Scale and Rotational Invariant Key-point Detector based on Sparse Coding

Most popular hand-crafted key-point detectors such as Harris corner, SIFT, SURF aim to detect corners, blobs, junctions, or other human-defined structures in images. Though being robust with some geometric transformations, unintended scenarios or non-uniform lighting variations could significantly degrade their performance. Hence, a new detector that is flexible with context change and simultaneously robust with both geometric and non-uniform illumination variations is very desirable. In this article, we propose a solution to this challenging problem by incorporating Scale and Rotation Invariant design (named SRI-SCK) into a recently developed Sparse Coding based Key-point detector (SCK). The SCK detector is flexible in different scenarios and fully invariant to affine intensity change, yet it is not designed to handle images with drastic scale and rotation changes. In SRI-SCK, the scale invariance is implemented with an image pyramid technique, while the rotation invariance is realized by combining multiple rotated versions of the dictionary used in the sparse coding step of SCK. Techniques for calculation of key-points’ characteristic scales and their sub-pixel accuracy positions are also proposed. Experimental results on three public datasets demonstrate that significantly high repeatability and matching score are achieved.

Changing Between Virtual Reality and Real-World Adversely Affects Memory Recall Accuracy

Context-dependency effects on memory exist, whereby people’s context influences their ability to accurately recall items from memory. This effect was not previously studied when considering virtual reality as an environmental context. We show that adverse effects on recall of memorized items exist when changing between virtual and real environments. The effect was not present when memorizing and recall were both done in VR; it appears to be caused by the change of environmental context. This previously unknown effect may impact how we use VR for memorization tasks, particularly when accurate recall of memorized information in a real environment is important. In a memory-recall experiment (n = 51) participants that underwent a context change involving VR after memorizing performed significantly worse on 24-h later item recall than those who did not change context (17% lower accuracy, p &lt; 0.001). In particular memorizing in VR as opposed to a real environment lowers accuracy of recall in a real environment (24% lower, p = 0.001).