ACG

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兵法舞雪（彭卓鋒）：《在二次元世界呼喚愛：日本ACG萌文化入門》，香港：天地圖書，2020。

一部深入而全面探討動漫、萌文化的作品，學術而不枯燥，萌爆了！
作者兵法舞雪作為一位愛好動漫、萌文化和二次元的大眾文化學者，將學術的十分嚴謹與對愛好的強烈熱忱混合為一，用最簡單易懂的言詞，以及從最基本的知識點?手，即使對動漫、萌文化和二次元沒有很長資歷和知識的讀者，也可從這本書學會大量「常識」。本書深淺有度，相信不會讓讀者感到枯燥難明，反而會有點「意猶未盡」。

兵法舞雪，本名彭卓鋒，廈門大學文學博士，香港浸會大學新聞系哲學碩士，曾任研究員、大學講師、兒童刊物編輯，對美學、哲學、歷史、宗教、工運、文藝學、語言學、民族誌、符號學、新媒體、日本文化、批判理論、性別研究、雙語教育、兒童文學、企業傳訊、公共政策、楊家太極拳等，皆略有涉獵。《在二次元世界呼喚愛——日本ACG 萌文化入門》所載內容為作者的研究心得。

With 6-man Chess essentially solved, the available 6-man Endgame Tables (EGTs) have been scanned for zugzwang positions where, unusually, having the move is a disadvantage. Review statistics together with some highlights and positions are provided here: the complete information is available on the ICGA website. An outcome of the review is the observation that the definition of zugzwang should be revisited, if only because the presence of en passant capture moves gives rise to three new, asymmetric types of zugzwang.

Abstract
Objectives: This exploratory study uses outpatient laboratory test results from electronic health records (EHRs) for patient risk assessment, and evaluates whether risk markers based on laboratory results improve the performance of diagnosis and pharmacy based predictive models for healthcare outcomes.

Study Design: Observational study of a patient cohort over 2 years.

Methods: We used administrative claims and EHR data over a 2-year period for a population of continuously insured patients in an integrated health system who had at least one ambulatory visit during the first year. We performed regression tree analyses to develop risk markers from frequently ordered outpatient laboratory tests. We added these risk markers to demographic and Charlson models, and three models from the Johns Hopkins ACG® System to predict individual cost, inpatient admission and high-cost patients. We evaluated the predictive and discriminatory performance of five lab-enhanced models.

Results: Our study population included 120,844 patients. Adding laboratory markers to base models improved R2 predictions of costs by 0.1% to 3.7%, identification of high cost patients by 3.4% to 121%, and identification of patients with inpatient admissions by 1.0% to 187% for the demographic model. The addition of laboratory risk markers to comprehensive risk models, as compared to simpler models, resulted in smaller improvements in predictive power.

Conclusion: The addition of laboratory risk markers can significantly improve the identification of high risk patients using models that include age, gender, and a limited number of morbidities; however, models that use comprehensive risk measures may only be marginally improved.

Key Words: prediction, laboratory results, electronic health records, administrative claims data

Recently, Monte-Carlo Tree Search (MCTS) has advanced the field of computer Go substantially. In the game of Lines of Action (LOA), which has been dominated in the past by αβ, MCTS is making an inroad. In this paper we investigate how to use a positional evaluation function in a Monte-Carlo simulation-based LOA program (MC-LOA). Four different simulation strategies are designed, called Evaluation Cut-Off, Corrective, Greedy, and Mixed, which use an evaluation function in several ways. Experimental results reveal that the Mixed strategy is the best among them. This strategy draws the moves randomly based on their transition probabilities in the first part of a simulation, but selects them based on their evaluation score in the second part of a simulation. Using this simulation strategy the MC-LOA program plays at the same level as the αβ program MIA, the best LOA playing entity in the world.

OBJECTIVES This exploratory study used outpatient laboratory test results from electronic health records (EHRs) for patient risk assessment and evaluated whether risk markers based on laboratory results improve the performance of diagnosis- and pharmacy-based predictive models for healthcare outcomes. STUDY DESIGN Observational study of a patient cohort over 2 years. METHODS We used administrative claims and EHR data over a 2-year period for a population of continuously insured patients in an integrated health system who had at least 1 ambulatory visit during the first year. We performed regression tree analyses to develop risk markers from frequently ordered outpatient laboratory tests. We added these risk markers to demographic and Charlson Comorbidity Index models and 3 models from the Johns Hopkins Adjusted Clinical Groups system to predict individual cost, inpatient admission, and high-cost patients. We evaluated the predictive and discriminatory performance of 5 lab-enhanced m...

This paper describes the design and development of two world-class Lines of Action game-playing programs: YL, a three time Computer Olympiad gold-medal winner, and Mona, which has dominated international e-mail correspondence play. The underlying design philosophy of the two programs is very different: the former emphasizes fast and efficient search, whereas the latter focuses on a sophisticated but relatively slow evaluation of each board position. In addition to providing a technical description of each program, we explore some long-standing questions on the trade-offs between search and knowledge. These experimental results confirm the conclusions made by earlier researchers in the domain of chess, thus showing that the trends are not game-specific. In particular, we see diminishing returns with additional search depth, and observe that the knowledge level of a program has a significant impact on the results of such experiments.

ProbCut is a selective-search enhancement to the standard alpha-beta algorithm for two-person games. ProbCut and its improved variant Multi-ProbCut (MPC) have been shown to be effective in Othello and Shogi, but there had not been any report of success in the game of chess previously. This paper discusses our implementation of ProbCut and MPC in the chess engine Ö ØÝ. Initial test results suggest that the MPC version of Ö ØÝ is stronger than the original version of Ö ØÝ: it searches deeper in promising lines and defeated the original Ö ØÝ +22 ½¼ ¿¾ (59.4%) in a 64-game match. Incorporating MPC into Ö ØÝ also increased its tournament performance against another strong chess program: Ö ØÝ's speed chess tournament score went up from 51% to 56%.

This thesis provides an insight into understanding why women journalists failed to reflect on, and react to, their subordinate status in the content they produce, even as they have already become the majority in the newspaper industry in Taiwan. To answer this question, the
thesis has chosen to examine the women’s page section in Taiwan, both the printed page and the news organisation producing it. This is because, firstly, the women’s page section is dominated by women in terms of the producers of the page and readership, which is very different from the front page sections that are dominated by men; and secondly, in contrast to the front page sections, the women’s page section play a marginal and subordinate role in the overall context of newspapers.
By using in-depth interview, participant-observation and content analysis, this thesis argues that it is not just a matter of how many women in journalism, but gender politics, news values and organisational culture that matter. Through examining gender politics operates on different levels (i.e. extra-organisational level, organisational level, daily routine level, and individual level), the thesis acknowledges that, firstly, Taiwanese society although underwent social change, from traditional patriarchal society to more gender liberal society, women are still regarded as main carers in the families, which created an incompatibilities for women as they enter labour market in general, newspaper journalism in particular.
Secondly, the newspaper industry in Taiwan remains male-domination through manipulating exclusive, inclusive mechanisms, as women have been the majority recently.
Thirdly, because the definition of news genre, hard/soft news, is traditionally in accordance with gender line, that is, hard news is important and for men, soft news is belittling and for women, the labour process in soft-news sections, e.g. the women’s page, thus is embodied gender meaning, which in turn make the sections remain women ghetto. The social relations in the women’s page section have also been found following gender orders. The power structure in the women’s page section has also been built up in accordance with gender orders.
Finally, women journalists, particular ambitious ones, do not reflect their subordination on the news content but submit themselves to masculine values in their professional practices in order to survive in the profession.

Chess endgame databases, while of important theoretical interest, have yet to make a significant impact in tournament chess. In the game of checkers, how-ever, endgame databases have played a pivotal role in the success of our World Championship challenger program Chinook. ...

Complete tablebases, indicating best moves for every position, exist for chess endgames. There is no doubt that tablebases contain a wealth of knowledge, however, mining for this knowledge, manually or automatically, proved as extremely difficult. Recently, we developed an approach that combines specialized minimax search with argumentbased machine learning (ABML) paradigm. In this paper, we put this approach to test in an attempt to elicit human-understandable knowledge from tablebases. Specifically, we semi-automatically synthesize knowledge from the KBNK tablebase for teaching the difficult king, bishop, and knight versus the lone king endgame.