围绕ICU的几个问题的思考

ICU是现代医学中的新兴事物,发挥着重要作用,但是围绕ICU方方面面问题,无论是业界还是公众还有许多争论及认识上的误区,有待研究探讨,比如ICU是否是一个真正意义上的独立学科?ICU的业态形式?ICU一定是高投入高装备吗?ICU注定是高消费?ICU有人文伦理缺失的特权吗?本文试图对这些问题给予一点作者的观察和己见。     

Big brown dog or brown big dog? An electrophysiological study of semantic constraints on prenominal adjective order

Event-related brain potentials (ERPs) were recorded while participants read and made acceptability judgments about sentences containing three types of adjective sequences: (1) normal sequences--e.g., Jennifer rode a huge gray elephant; (2) reversed sequences that violate grammatical-semantic constraints on linear order--e.g., *Jennifer rode a gray huge elephant; and (3) contradictory sequences that violate lexical-semantic constraints on compositionality--e.g., *Jennifer rode a small huge elephant. Relative to the control condition, the second adjective elicited a reduced N400 and an enhanced P600 in both the reversal condition and the contradiction condition. We present several alternative accounts of these two effects, but favor an interpretation which treats them as reflecting semantic and syntactic aspects of a temporary reanalysis of the adjective order construction. Furthermore, relative to the control condition, the final noun elicited a robust N400 in the contradiction condition but not in the reversal condition. We suggest that this effect indexes the full registration of the lexical-semantic incompatibility of the two adjectives in the contradiction condition. Finally, we discuss how all of these findings fit into the broader context of recent ERP studies that have reported atypical N400s and robust P600s in response to certain types of semantic anomalies.     

美式反恐战略给无辜者带来的道德伤害

恐怖主义是全人类的共同敌人。在美国主导国际社会反恐话语权的宏观背景下,美式反恐战略在美国国内造就了一个放弃“美国价值”的美国;在国际社会,给无数无辜者带来了巨大的道德伤害。其对人类社会伦理秩序破坏所造成的损害尚无法评估。     

中国传统文化中的和谐思想对构建和谐世界的启迪

和谐世界理念有着深厚内蕴和巨大张力的重要原因之一就是它蕴含着中国优秀传统文化的“和而不同”、“天人合一”、“天下为公”、“实现大同”等和谐思想。要构建和谐世界,必须继承民族传统文化的精神、借鉴和吸收人类先进文化。     

SalesLitDB: A Classification System and Index of the Sales-Related Literature

The literature about personal selling and sales management appearing in journals has grown approximately tenfold in the past 20+ years. Despite the growth of huge online literature databases, there has been no single source that catalogs all of this literature, making it difficult to learn about articles of potential interest. This paper describes an ongoing research project devoted to developing a free subject-matter database of all sales-related articles appearing in academic journals, now available at www.saleslitdb.com. Readers are encouraged to make use of this resource and to contribute to it.     

Unlocking the Secrets of the Wounded Psyche: Interview with Donald Kalsched

The last 20 years have seen huge progress in our understanding of the injured psyche. Inner space is opening in a way that is helping us heal the deep psychological wounds that many of us carry. Donald Kalsched has been exploring the archetypal dimensions of the trauma process. His interest arose out of his work as a Jungian analyst: Many of his clients got stuck in their therapeutic journey, or worse, they tried to sabotage it—Kalsched wanted to understand why. He discovered that most of them had suffered childhood trauma. He asked: What is it about trauma that leads people to sabotage the road to healing? What systems come into play to help a child to survive psychological trauma, and how do these systems limit later development? His conclusion was that the psyche's internal response to trauma sets up a “self-care system” designed to ensure the person's survival, but that this defensive system ultimately retraumatizes the person from within, cutting off life-saving attachments to others and eclipsing all possibilities of true-self living in the real world. This theory has had a huge impact because it changes our understanding of what happens in psychological trauma and so opens the door to healing.     

医生专家责任的法理分析

随着医患关系发展的多样化、复杂化,以及法律对医生专家责任规定的疏漏,医生和患者都面临着巨大的经济和精神压力。因此,明确医生专家责任的法律属性,分析专家责任的构成要件,探讨责任实现形式,建立责任转移方式以及责任限制制度,对于明确医生的权利义务,缓和医患关系,稳定医疗秩序,具有一定的现实意义。     

Facilitation by exogenous attention for static and dynamic gestalt groups

Attentional mechanisms allow the brain to selectively allocate its resources to stimuli of interest within the huge amount of information reaching its sensory systems. The voluntary component of attention, endogenous attention, can be allocated in a flexible manner depending on the goals and strategies of the observer. On the other hand, the reflexive component, exogenous attention, is driven by the stimulus. Here, we investigated how exogenous attention is deployed to moving stimuli that form distinct perceptual groups. We showed that exogenous attention is deployed according to a reference frame that moves along with the stimulus. Moreover, in addition to the cued stimulus, exogenous attention is deployed to all elements forming a perceptual group. These properties provide a basis for the efficient deployment of exogenous attention under ecological viewing conditions.     

医生与药业的关系：利益冲突重要根源

药业与医生的关系在最近40年日益受到医学界与社会的重视。药业以并不昂贵的馈赠及其他手段,资助学术交流、医学教育和医学研究,深刻地影响着临床医生的行为和诊治决策,从而危及医学的科学性和医学职业精神,加重了病人的负担,且祸及病人健康。药业与医生的这种关系,是道德与金钱关系的赤裸表现,是资本对医学的无情侵略。从道德、法律、行业管理等诸多方面正确规范行业与医生的相互关系,避免当前面临的种种弊端,维护医学的科学性,保护病人与社会公众的利益,刻不容缓。     

Parental support, family conflict, and overprotectiveness: predicting PTSD symptom levels of adolescents 28 months after a natural disaster

The purpose of this study was to evaluate the role of family factors as predictors of posttraumatic stress disorder (PTSD) symptoms among adolescents, a substantial period of time after a natural disaster. It was hypothesized that a lack of parental support, family conflict, and overprotectiveness are all risk factors with regard to levels of PTSD symptoms. A group of 533 schoolchildren and high-school students was investigated 28 months after a huge flood, which was one of the most devastating disasters in Poland. The results of a hierarchical regression analysis indicate that the extent of traumatic exposure, parental support, family conflict, and overprotectiveness, all predicted levels of PTSD symptoms in the group investigated. Furthermore, parental overprotectiveness moderated the effect of trauma, thus augmenting the impact of stress experienced during the disaster on the level of PTSD symptoms. The findings suggest that excessive parental control and infantilization of children for a long time after a disaster are harmful for adolescents' health and could be an obstacle in the recovery process. The results highlight the importance of studying parental ways of coping in order to predict how adolescents cope with a traumatic event.     

Darwin's Doubt Defended: Why Evolution Supports Skepticism

Abstract

Since the time of Charles Darwin, there has been concern that the theory of evolution provides fuel for skepticism. This paper presents new arguments that humanity's evolutionary origins are grounds for accepting that the universe is not as it appears to be to us. Firstly, it is argued that we should expect to have an incomplete capacity to comprehend the universe: both the mental limitations of all non-human life and the narrow interests of most humans provide evidence for this. Secondly, it is argued that we should expect the universe as it appears to us to have nothing more than a relationship of correlation to the universe as it actually is: both simplicity and the huge number of ways in which the universe may be represented provide reason for evolution to produce such a correlative system.     

Detection of subtype blood cells using deep learning

Deep Learning has already shown power in many application fields, and is accepted by more and more people as a better approach than the traditional machine learning models. In particular, the implementation of deep learning algorithms, especially Convolutional Neural Networks (CNN), brings huge benefits to the medical field, where a huge number of images are to be processed and analyzed. This paper aims to develop a deep learning model to address the blood cell classification problem, which is one of the most challenging problems in blood diagnosis. A CNN-based framework is built to automatically classify the blood cell images into subtypes of the cells. Experiments are conducted on a dataset of 13k images of blood cells with their subtypes, and the results show that our proposed model provide better results in terms of evaluation parameters.     

Learning Large Q-Matrix by Restricted Boltzmann Machines

Psychometrika - Estimation of the large Q-matrix in cognitive diagnosis models (CDMs) with many items and latent attributes from observational data has been a huge challenge due to its high...     

Neuronal symphonies: Musical improvisation and the centrencephalic space of functional integration

Musical improvisation is a sophisticated activity in which a performer realizes, real-time, melodic, and rhythmic sequences in harmony with those from other musicians. The study of musical improvisation helps one to understand not only the cognition of creativity, but also the complex neuronal basis of executive functions, the relation between conscious and unconscious action, and even more. So far, the prevailing models, founded on the brain imaging method, have focused on the connection between the cortical areas and their cognitive processes. Little attention, on the other hand, has been given to the huge variety of subcortical activities, especially in the basal ganglia. This fundamental subcortical component, through its implicit procedures and the role it plays in memory, is responsible to produce new information all the time, allowing the prefrontal cortex to transform a huge and disordered amount of data in explicit creative acts. The basal ganglia are strongly related to the activation of chemical signals generated by dissonance or lack of symmetry between perception and expectation, participating even in the responses to environmental demands according to the circumstances. Thus, they interact with the frontal cortex and with the limbic system, playing a key role in planning and selecting appropriate actions and in decision making. In this text, we try to explain in which sense improvisation is connected to the processes of executive functions, to creativity and to the integrated activity of cortical–subcortical areas controlling the free flow of ideas and to expressive spontaneity. Eventually, we purpose a model according to which structure (improvisational field) and process (improvisational time) take part at the centrencephalic space of functional integration, which, through both competing and cooperating dynamics, gives way to spontaneous composition.     

Unlearned appetite controls: watersnakes (Nerodia) take smaller meals when they have the choice

Studies of appetite in mammals emphasize that meal size is learned, but lactation and parental care constrain testing of naive individuals. Neonatal reptiles, in contrast, are self-sufficient foragers. The authors examined the effect of prey size on meal size in primivorous (at first feeding) northern watersnakes (Nerodia sipedon). When offered an excess of small prey (2%-20% of snake mass), neonates ate significantly smaller meals (M = 23.5% of snake mass) than when offered a single huge item (range = 32%-55%). The authors conclude that (a) the taking of smaller meals is not a learned effect, (b) there may be a satiety threshold for meal size rather than a target, (c) oropharyngeal stimuli may provide satiety cues, and (d) huge meals may have fitness costs.     

A one-boundary drift-diffusion model for time to collision estimation in a simple driving task

ABSTRACT

Driving is a complex everyday task. Every year a huge number of driving accidents around the world causes serious physical and mental injuries and deaths. The correct estimation of the remaining time to reach the other vehicles on the road, known as time to collision (TTC), is an important factor to avoid accidents. In this study, we aimed to use a drift-diffusion model (DDM) to better understand the participants’ estimation of TTC in two driving experiments. Both experiments were the same, except that in one of them participants were asked to finish the experiment as fast as they could, while in the other experiment there was no time constraint. DDM fitted the data from all participants well in both experiments according to the chi-square goodness of fit criterion. Also, results showed that time pressure increases subjects’ estimated TTC, the rate of accumulation of sensory information and the response threshold.     

Review of Book: Technology,Social Change and Human Behavior Influence for Impact. (2021). Walther,C., Cham,Switzerland. Macmillan Editorial. ISBN: 978-3-030-70001-0 / ISBN: 978-3-030-70002-7 (eBook)

The huge impact of technology on people and institutions cannot be denied. More than often, this influence seems to have negative effects on them. However, the proposal of Social Change and Human Behavior Influence for impact brings some new light on this issue: What if society were to enable its members to attain their desired goals by means of the creation and use some technology that made it possible? The central argument of this book is: humankind can take a qualitative leap to nurture people’s quality of life, and thus arrive at a state of Augmented Humanity (AH), if all humans were to understand that individual well-being is the cause and consequence of collective well-being. And technology can contribute to the realization of the AH, if those who design and use it do justice to their own capacity for generosity, compassion, honesty and courage.

     

Application of deep transfer learning for automated brain abnormality classification using MR images

Magnetic resonance imaging (MRI) is the most common imaging technique used to detect abnormal brain tumors. Traditionally, MRI images are analyzed manually by radiologists to detect the abnormal conditions in the brain. Manual interpretation of huge volume of images is time consuming and difficult. Hence, computer-based detection helps in accurate and fast diagnosis. In this study, we proposed an approach that uses deep transfer learning to automatically classify normal and abnormal brain MR images. Convolutional neural network (CNN) based ResNet34 model is used as a deep learning model. We have used current deep learning techniques such as data augmentation, optimal learning rate finder and fine-tuning to train the model. The proposed model achieved 5-fold classification accuracy of 100% on 613 MR images. Our developed system is ready to test on huge database and can assist the radiologists in their daily screening of MR images.     

Valorisation de la recherche en santé humaine et protection des données à l’ère du numérique

Medical research collects a huge number of medical data sheltered in Data Centers. An European regulation rule (GDRP) or General Data Protection Regulation aims to give an ethic frame to protect personal data and delegate responsability to citizens.     

Chinese Research in Medieval Philosophy: Retrospects and Prospects

The Chinese study of medieval philosophy has undergone an extraordinary historical process, and it has made great advances in the last 40 years. This paper provides a retrospective analysis of the pioneering Chinese scholars, both traditional and modern, who have played significant roles in the establishment and development of this historical field of inquiry. It pays particular attention to the important scholars, their works, methodologies, and findings over the course of the last forty years, and it also looks to the challenges currently facing this area of study and addresses the current state of the field and its future prospects. Although Chinese scholarship on medieval philosophy has already achieved great accomplishments, compared with the level of international research in the field abroad, there is still a huge gap to be remedied and therefore, we must recognize that there are great opportunities for Chinese scholars who will undertake the study of medieval philosophy with all due seriousness.