Karl Barth and Evangelism

All beginnings are hard. Often a beginning is difficult because not enough people perceive its desirability or need. Starting is hard when all things appear new, for the way ahead is unseen. Usually, a vision is necessary. Generally, the foundation of the past is essential. But faith is the sine qua non for an evangelical beginning

Science 101: Speaking in Tongues and Sights Unseen

For me, science isn’t only about hearing and seeing, it’s also about responding; about being in dialogue. Posting about looking for meaning in the physical world from In All Things - an online hub committed to the claim that the life, death, and resurrection of Jesus Christ has implications for the entire world. http://inallthings.org/science-101-speaking-in-tongues-and-sights-unseen

Herald of Holiness Volume 46 Number 02 (1957)

01 Strong, Burning Prayer,” General Superintendent Benner 02 Revival Prayer, Mrs. M Spital 02 Divided LoyaIties, Fletcher Spruce03 Faith to Live By, Vernon L. Wicox 03 Mercies Seen and Unseen, General Superintendent Powers 04 In All These Things...Conquerors, Kathryn Blackburn Peck 05 My New Year Companions, Elizabeth M. Dumann 07 The Sanctifying Trinity, R. A. Kerby08 The Invisible Line, David J. Tarrant08 Heaven\u27s Loveliness, Bertha R. Hudelson 09 News in Picture 09 Smudged Prints, Harry Childers 10 We Must Carry On! Maud V. Meek 11 Afterthought... J. Fred Parkerhttps://digitalcommons.olivet.edu/cotn_hoh/2313/thumbnail.jp

The use of computer-based assessments in a field biology module

Formative computer-based assessments (CBAs) for self-instruction were introduced into a Year-2 field biology module. These CBAs were provided in ‘tutorial’ mode where each question had context-related diagnostic feedback and tutorial pages, and a self-test mode where the same CBA returned only a score. The summative assessments remained unchanged and consisted of an unseen CBA and written reports of field investigations. When compared with the previous three year-cohorts, the mean score for the summative CBA increased after the introduction of formative CBAs, whereas mean scores for written reports did not change. It is suggested that the increase in summative CBA mean score reflects the effectiveness of the formative CBAs in widening the students’ knowledge base. Evaluation of all assessments using an Assessment Experience Questionnaire indicated that they satisfied the ‘11 conditions under which assessment supports student learning’. Additionally, evidence is presented that the formative CBAs enhanced self-regulated student learning

The future of data privacy and security concerns in Internet of things

A global, immersive, invisible, ambient network computing environment built through the continued proliferation of smart sensors, cameras, software, databases,and massive data centers in a world-spanning information fabric known as the Internet of Things. The idea is to live in connected world. Altogether varieties of connected objects from smart home appliances like televisions, laundry machines,thermostats, refrigerators to Industrial Internet of Things (IIoT) and Internet of Medical Things (IoMT) are going to conserve the potential of IoT connectivity in all paces of future smart world. However, it has high importance to preserve adherence of enormous benefits of IoT connectivity, which might lead to unseen security and privacy issues and vulnerabilities that will cause various malicious attacks including waterhole, ransomware, eavesdropping, and others to exploit the potential of smart objects. This paper will present and forecast advanced concepts for end-to end security and privacy issues in a highly distributed, heterogeneous and dynamic network of IoT devices, which may reveal a holistic approach of device identification, authentication, and management, security, and privacy concerns

Religion for Naturalists and the Meaning of Belief

This article relates the philosophical discussion on naturalistic religious practice to Tim Crane’s The Meaning of Belief: Religion from an Atheist’s Point of View, in which he claims that atheists can derive no genuine solace from religion. I argue that Crane’s claim is a little too strong. There is a sense in which atheists can derive solace from religion and that fact is worth acknowledging

Open-world Learning and Application to Product Classification

Classic supervised learning makes the closed-world assumption, meaning that classes seen in testing must have been seen in training. However, in the dynamic world, new or unseen class examples may appear constantly. A model working in such an environment must be able to reject unseen classes (not seen or used in training). If enough data is collected for the unseen classes, the system should incrementally learn to accept/classify them. This learning paradigm is called open-world learning (OWL). Existing OWL methods all need some form of re-training to accept or include the new classes in the overall model. In this paper, we propose a meta-learning approach to the problem. Its key novelty is that it only needs to train a meta-classifier, which can then continually accept new classes when they have enough labeled data for the meta-classifier to use, and also detect/reject future unseen classes. No re-training of the meta-classifier or a new overall classifier covering all old and new classes is needed. In testing, the method only uses the examples of the seen classes (including the newly added classes) on-the-fly for classification and rejection. Experimental results demonstrate the effectiveness of the new approach.Comment: accepted by The Web Conference (WWW 2019) Previous title: Learning to Accept New Classes without Trainin

Learning to Speak and Act in a Fantasy Text Adventure Game

We introduce a large scale crowdsourced text adventure game as a research platform for studying grounded dialogue. In it, agents can perceive, emote, and act whilst conducting dialogue with other agents. Models and humans can both act as characters within the game. We describe the results of training state-of-the-art generative and retrieval models in this setting. We show that in addition to using past dialogue, these models are able to effectively use the state of the underlying world to condition their predictions. In particular, we show that grounding on the details of the local environment, including location descriptions, and the objects (and their affordances) and characters (and their previous actions) present within it allows better predictions of agent behavior and dialogue. We analyze the ingredients necessary for successful grounding in this setting, and how each of these factors relate to agents that can talk and act successfully