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"Jones, Michael J"
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Influence of moderate dehydration on soccer performance: physiological responses to 45 min of outdoor match-play and the immediate subsequent performance of sport-specific and mental concentration tests
Objective: To determine whether moderate water loss (∼1.5–2% of body mass (BM)) represents a significant impairment to soccer match-play and the related fitness variables. Methods: 11 moderately active male soccer players (mean (SD) age 24.4 (3) years, BM 74.03 (10.5) kg, peak oxygen consumption 50.91 (4.0) ml/kg/min) volunteered to participate. The experimental procedure comprised: (1) a 45 min pre-match period of cycle ergometry exercise (90% of individual ventilatory threshold); (2) the completion of a 45 min soccer match; and (3) the immediate post-match performance of sport-specific and mental concentration tests. The subjects completed the procedure on three occasions each in a different experimental condition (fluid intake (FL), no fluid (NF) and mouth rinse (MR)) in an individually randomised order. Core temperature (Tc), heart rates, plasma and urine osmolalities, BM, sweat rates and heat storage were all measured. Results: The only condition-dependent difference during the match-play element of the protocol was a significantly increased Tc in the NF condition compared with the FL condition (39.28°C (0.35°C) and 38.8°C (0.47°C), respectively; p<0.05). The immediate post-match performance of a sport-specific fitness test was significantly impaired where FL had been denied (p<0.01). The post-test evaluation of rating of perceived exertion and thirst indicated that the NF condition was perceived to be the most challenging (p<0.05). Conclusions: The condition-dependent differences in match-play and post-match tests demonstrate that moderate dehydration is detrimental to soccer performance. However, it remains unclear whether this could be attributable to water loss in itself or the negative psychological associations derived from a greater perception of effort in that condition.
Journal Article
The Cambridge companion to the American short story
\"This Companion offers students and scholars a comprehensive introduction to the development and the diversity of the American short story as a literary form from its origins in the eighteenth century to the present day. Rather than define what the short story is as a genre, or defend its importance in comparison with the novel, this Companion seeks to understand what the short story does -- how it moves through national space, how it is always related to other genres and media, and how its inherent mobility responds to the literary marketplace and resonates with key critical themes in contemporary literary studies. Essays offer authoritative introductions and reinterpretations of a literary form that has reemerged as a major force in the twenty-first century public sphere dominated by the internet\"-- Provided by publisher.
Book
Robust Real-Time Face Detection
This paper describes a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates. There are three key contributions. The first is the introduction of a new image representation called the \"Integral Image\" which allows the features used by our detector to be computed very quickly. The second is a simple and efficient classifier which is built using the AdaBoost learning algorithm (Freund and Schapire, 1995) to select a small number of critical visual features from a very large set of potential features. The third contribution is a method for combining classifiers in a \"cascade\" which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions. A set of experiments in the domain of face detection is presented. The system yields face detection performance comparable to the best previous systems (Sung and Poggio, 1998; Rowley et al., 1998; Schneiderman and Kanade, 2000; Roth et al., 2000). Implemented on a conventional desktop, face detection proceeds at 15 frames per second.[PUBLICATION ABSTRACT]
Journal Article
الاقتصاد السياسي للتعليم في العالم العربي
يتلمس مؤلفو کتاب \"الاقتصاد السياسي للتعليم في العالم العربي\" إجابات في الاقتصادات السياسية ... التي تشكل بنية الحكم الوطني في المنطقة، وقد أظهروا بوضوح، من خلال ما قدموه من دراسات عن شمال إفريقيا ومنطقة الخليج، إضافة إلى وجهات نظر مقارنة تجارب دول شرق آسيا وأمريكا اللاتينية، أن الجهود المبذولة لتحسين التعليم، وتعزيز التنمية الاقتصادية تبعا لذلك وتوسيع قاعدة المواطنة التي تشكل عمدة استقرار وفعالية أنظمة حكم، ستفشل إلى الحد الذي تصبح معه النخب الحاكمة غير قادرة على زيادة قوتها السياسية والاقتصادية على حساب الصالح العام، يتكون الكتاب من أحد عشر بحثا توزعتها أقسام ثلاثة، بالإضافة إلى قسم تمهيدي مكون من دراستين هما بمثابة المدخلين للإشكاليات التي تناولها الكتاب، فالأولى تتمثل في البحث الأول المشترك بين هشام العلوي وروبرت سبرينغبورغ حيث عرضا بشكل عام لإشكاليات التعليم في العالم العربي من وجهة نظر الاقتصاد السياسي، واضعين القارئ في سياق الكتاب وهويته البحثية، وتتمثل الثانية في بحث إسحاق ديوان الذي تناول بدراسة رصدية إحصائية وتحليلية العلاقة بين إشكاليتي التعليم والديمقراطية في العالم العربي.
Book
Detecting Pedestrians Using Patterns of Motion and Appearance
This paper describes a pedestrian detection system that integrates image intensity information with motion information. We use a detection style algorithm that scans a detector over two consecutive frames of a video sequence. The detector is trained (using AdaBoost) to take advantage of both motion and appearance information to detect a walking person. Past approaches have built detectors based on motion information or detectors based on appearance information, but ours is the first to combine both sources of information in a single detector. The implementation described runs at about 4 frames/second, detects pedestrians at very small scales (as small as 20 × 15 pixels), and has a very low false positive rate. Our approach builds on the detection work of Viola and Jones. Novel contributions of this paper include: (i) development of a representation of image motion which is extremely efficient, and (ii) implementation of a state of the art pedestrian detection system which operates on low resolution images under difficult conditions (such as rain and snow).[PUBLICATION ABSTRACT]
Journal Article
Straight outta Deadwood
\"Once again, we return to the Old West with a new posse of top authors spin tales of horror, fantasy, and science fiction. We take no prisoners as they explore what really was, and mix in what might have been. Charlaine Harris [The Sookie Stackhouse Series, Midnight, Texas] shows us a glimpse inside her new series as a tormented gunfighter faces a true demon of her past. Mike Resnick [The Buntline Special] reveals what Doc Holiday thought was so funny on his last day. Jeffrey Mariotte [Desperados, Graveslingers] introduces us to a man who specializes in pictures of the dead who won't stay dead. Jane Lindskold [The Firekeeper Saga, The Star Kingdom Series (with David Weber)] teaches us not to underestimate a schoolmarm when her students are in jeopardy. And Shane Hensley [Deadlands] cooks up a stew that threatens to send every famous lawman in history to their graves! Plus, a dozen more stories of how the west was wilder than any history book could contain, such as a new Native American legend by Stephen Graham Jones and a Mormon troubleshooter straddling the line between his faith and the supernatural by D.J. Butler. The west that was rides again with west that could have been in this follow-up to Straight Outta Tombstone! Contributors: Mike Resnick D.J. Butler Jane Lindskold Shane Hensely Jeffrey J. Mariotte Steve Ransic Tem Stephen Graham Jones Derrick Ferguson Frog and Esther Jones Cliff Winnig Jennifer Campbell-Hicks Alex Acks Marsheilla Rockwell Mario Acevedo Betsy Dornbusch Travis Heerman\"-- Provided by publisher.
BOOK
Statistical Color Models with Application to Skin Detection
The existence of large image datasets such as the set of photos on the World Wide Web make it possible to build powerful generic models for low-level image attributes like color using simple histogram learning techniques. We describe the construction of color models for skin and non-skin classes from a dataset of nearly 1 billion labelled pixels. These classes exhibit a surprising degree of separability which we exploit by building a skin pixel detector achieving a detection rate of 80% with 8.5% false positives. We compare the performance of histogram and mixture models in skin detection and find histogram models to be superior in accuracy and computational cost. Using aggregate features computed from the skin pixel detector we build a surprisingly effective detector for naked people. Our results suggest that color can be a more powerful cue for detecting people in unconstrained imagery than was previously suspected. We believe this work is the most comprehensive and detailed exploration of skin color models to date.[PUBLICATION ABSTRACT]
Journal Article
The further adventures of Red Sonja
\"She lived in a savage world in an uncivilized age - a world ruled by men and governed by the sword. The[y] called her... Red Sonja - for her flame red hair, and for the smoldering fire of her pride, which gave her sword-arm a strength that few men could match, and none had ever defeated. This collection contains a variety of issues from the original Marvel Comics series 'The Savage Sword of Conan,' as well as Sonja Tales from 'Kull and the Barbarians,' with each page re-mastered for this volume. Also included is a gallery of pin-ups by Frank Thorne, Howard Chaykin, and more. These tales are where it all began, and set the stage for the current Red Sonja series from Dynamite Entertainment\"--back cover.
Book
Prognostic performance of inflammation-based prognostic indices in patients with resectable colorectal liver metastases
A range of prognostic cellular indices of the systemic inflammatory response, namely the neutrophil–lymphocyte ratio (NLR), derived NLR (dNLR), platelet–lymphocyte ratio (PLR), lymphocyte–monocyte ratio (LMR), combination of platelet count and neutrophil–lymphocyte ratio (COP–NLR) and prognostic nutritional index (PNI), have been developed and found to have prognostic utility across varied malignancies. The current study is the first to examine the prognostic value of these six inflammatory scores in patients with resectable colorectal liver metastases (CRLM). Data from 302 consecutive patients undergoing surgery for resectable CRLM were evaluated. The prognostic influence of clinicopathological variables and the inflammatory scores NLR, dNLR, PLR, LMR, COP–NLR and PNI upon overall survival (OS) and cancer-specific survival (CSS) were determined by log-rank analysis and univariate and multivariate Cox regression analyses. High preoperative NLR was the only inflammatory variable independently associated with shortened OS (HR 1.769, 95 % CI 1.302–2.403,
P
< 0.001) or CSS (HR 1.927, 95 % CI 1.398–2.655,
P
< 0.001) following metastasectomy. When NLR was replaced by dNLR in analyses, high dNLR was independently associated with shortened OS (HR 1.932, 95 % CI 1.356–2.754,
P
< 0.001) and CSS (HR 1.807, 95 % CI 1.209–2.702,
P
= 0.004). The inflammatory scores PLR, LMR, COP–NLR and PNI demonstrated no independent association with either overall or cancer-specific survival in the study population. Our findings support high preoperative NLR and dNLR as independent prognostic factors for poor outcome in patients undergoing CRLM resection, with prognostic value superior to other cellular-based systemic inflammatory scores.
Journal Article