Enhancing Deep Learning Semantics:The Diffusion Sampling and Label-Driven Co-Attention Approach

The advent of self-attention mechanisms within Transformer models has significantly propelled the advancement of deep learning algorithms,yielding outstanding achievements across diverse domains.Nonetheless,self-attention mechanisms falter when applied to datasets with intricate semantic content and extensive dependency structures.In response,this paper introduces a Diffusion Sampling and Label-Driven Co-attention Neural Network(DSLD),which adopts a diffusion sampling method to capture more comprehensive semantic information of the data.Additionally,themodel leverages the joint correlation information of labels and data to introduce the computation of text representation,correcting semantic representationbiases in thedata,andincreasing the accuracyof semantic representation.Ultimately,the model computes the corresponding classification results by synthesizing these rich data semantic representations.Experiments on seven benchmark datasets show that our proposed model achieves competitive results compared to state-of-the-art methods.

A privacy-preserving method for publishing data with multiple sensitive attributes

The overgeneralisation may happen because most studies on data publishing for multiple sensitive attributes(SAs)have not considered the personalised privacy requirement.Furthermore,sensitive information disclosure may also be caused by these personalised requirements.To address the matter,this article develops a personalised data publishing method for multiple SAs.According to the requirements of individuals,the new method partitions SAs values into two categories:private values and public values,and breaks the association between them for privacy guarantees.For the private values,this paper takes the process of anonymisation,while the public values are released without this process.An algorithm is designed to achieve the privacy mode,where the selectivity is determined by the sensitive value frequency and undesirable objects.The experimental results show that the proposed method can provide more information utility when compared with previous methods.The theoretic analyses and experiments also indicate that the privacy can be guaranteed even though the public values are known to an adversary.The overgeneralisation and privacy breach caused by the personalised requirement can be avoided by the new method.

A multiple sensitive attributes data publishing method with guaranteed information utility

Data publishing methods can provide available information for analysis while preserving privacy.The multiple sensitive attributes data publishing,which preserves the relationship between sensitive attributes,may keep many records from being grouped and bring in a high record suppression ratio.Another category of multiple sensitive attributes data publishing,which reduces the possibility of record suppression by breaking the relationship between sensitive attributes,cannot provide the sensitive attributes association for analysis.Hence,the existing multiple sensitive attributes data publishing fails to fully account for the comprehensive information utility.To acquire a guaranteed information utility,this article defines comprehensive information loss that considers both the suppression of records and the relationship between sensitive attributes.A heuristic method is leveraged to discover the optimal anonymity scheme that has the lowest comprehensive information loss.The experimental results verify the practice of the proposed data publishing method with multiple sensitive attributes.The proposed method can guarantee information utility when compared with previous ones.

运动干预对化疗期急性白血病患儿癌因性疲乏的影响

目的探讨运动干预对化疗期急性白血病患儿癌因性疲乏及生活质量的改善效果。方法将60例急性白血病患儿按照住院时间段分为两组各30例。对照组接受常规护理;观察组在常规护理基础上实施运动干预,包括运动前评估、根据不同运动负荷进行运动及运动监测。采用多维疲乏量表、儿童普适性生活质量量表评价效果。结果干预12周后,干预组疲乏总分、生活质量总分显著高于对照组(均P<0.05)。结论运动干预可有效改善化疗期急性白血病患儿癌因性疲乏,提高患儿生活质量。

Group Multi-Role Assignment With Conflicting Roles and Agents

Group role assignment(GRA)is originally a complex problem in role-based collaboration(RBC).The solution to GRA provides modelling techniques for more complex problems.GRA with constraints(GRA+)is categorized as a class of complex assignment problems.At present,there are few generally efficient solutions to this category of problems.Each special problem case requires a specific solution.Group multi-role assignment(GMRA)and GRA with conflicting agents on roles(GRACAR)are two problem cases in GRA+.The contributions of this paper include:1)The formalization of a new problem of GRA+,called group multi-role assignment with conflicting roles and agents(GMAC),which is an extension to the combination of GMRA and GRACAR;2)A practical solution based on an optimization platform;3)A sufficient condition,used in planning,for solving GMAC problems;and 4)A clear presentation of the benefits in avoiding conflicts when dealing with GMAC.The proposed methods are verified by experiments,simulations,proofs and analysis.

Medical data publishing based on average distribution and clustering

Most of the data publishing methods have not considered sensitivity protection,and hence the adversary can disclose privacy by sensitivity attack.Faced with this problem,this paper presents a medical data publishing method based on sensitivity determination.To protect the sensitivity,the sensitivity of disease information is determined by semantics.To seek the trade-off between information utility and privacy security,the new method focusses on the protection of sensitive values with high sensitivity and assigns the highly sensitive disease information to groups as evenly as possible.The experiments are conducted on two real-world datasets,of which the records include various attributes of patients.To measure sensitivity protection,the authors define a metric,which can evaluate the degree of sensitivity disclosure.Besides,additional information loss and discernability metrics are used to measure the availability of released tables.The experimental results indicate that the new method can provide better privacy than the traditional one while the information utility is guaranteed.Besides value protection,the proposed method can provide sensitivity protection and available releasing for medical data.

SVM-DT-Based Adaptive and Collaborative Intrusion Detection

As a primary defense technique, intrusion detection becomes more and more significant since the security of the networks is one of the most critical issues in the world. We present an adaptive collaboration intrusion detection method to improve the safety of a network. A self-adaptive and collaborative intrusion detection model is built by applying the Environmentsclasses, agents, roles, groups, and objects(E-CARGO) model. The objects, roles, agents, and groups are designed by using decision trees(DTs) and support vector machines(SVMs), and adaptive scheduling mechanisms are set up. The KDD CUP 1999 data set is used to verify the effectiveness of the method. The experimental results demonstrate the feasibility and efficiency of the proposed collaborative and adaptive intrusion detection method. Also, the proposed method is shown to be more predominant than the methods that use a set of single type support vector machine(SVM) in terms of detection precision rate and recall rate.

Does a shift in shade tolerance as suggested by seedling morphology explain differences in regeneration success of northern red oak in native and introduced ranges?

Across North America, forests dominated by Quercus rubra L. (northern red oak), a moderately shade-tolerant tree species, are undergoing successional replacement by shade-tolerant competitors. Under closed canopies, Q. rubra seedlings are unable to compete with these shade-tolerant species and do not recruit to upper forest strata. In Europe, natural regeneration of introduced Q. rubra is often successful despite the absence of fire, which promotes regeneration in the native range. Considering that understorey light availability is a major factor affecting recruitment of seedlings, we hypothesized that Q. rubra seedlings are more shade tolerant in the introduced range than in the native range. Morphological traits and biomass allocation patterns of seedlings indicative of shade tolerance were compared for Q. rubra and three co-occurring native species in two closed-canopy forests in the native range (Ontario, Canada) and introduced range (Baden-Württemburg, Germany). In the native range, Q. rubra allocated a greater proportion of biomass to roots, while in the introduced range, growth and allocation patterns favored the development of leaves. Q. rubra seedlings had greater annual increases in height, diameter and biomass in the introduced range. Q. rubra seedlings in the introduced range were also younger;however, they had a mean area per leaf and a total leaf area per seedling that were five times greater than seedlings in the native range. Such differences in morphological traits and allocation patterns support the hypothesis that Q. rubra expresses greater shade tolerance in the introduced range, and that natural regeneration of Q. rubra is not as limited by shade as in the native range. The ability of Q. rubra seedlings to grow faster under closed canopies in Europe may explain the discrepancy in regeneration success of this species in native and introduced ranges. Future research should confirm findings of this study over a greater geographical range in native and introduced ecosystems, and examine the genetic and environmental bases of observed differences in plant traits.

Plant communities and reproductive phenology in mountainous regions of northern Libya

Within the semi-desert landscape of northern Libya, two sub-humid escarpments occur: Al-Akhdar in the east and Nafusa (Jabal Al-Gharbi) in the west. This study compares plant communities in the two regions, which are along an elevation gradient, in terms of species composition and diversity, frequency of different Raunkiaer life forms, and reproductive phenology. The two regions differed in species composition and life-form frequency between regions and between elevation zones within each region. Patterns were associated with the lower rainfall and lower moisture-holding capacity of soils at Nafusa, resulting in more xeric conditions. Only 13% of species were shared between the two regional landscapes. Species diversity, life-form frequency, and duration of the flowering-fruiting phenophase were all affected by elevation above sea level. The duration of flowering and fruiting in spring and fall was associated with environmental conditions, although there were different thresholds in the two regions. There was both a spring and fall episode of flowering at Nafusa, but only spring flowering at Al-Akhdar. It is anticipated that there will be a gradual shift of plant communities to higher elevations and loss of certain sensitive species in response to ongoing climate change.

Demography of the threatened endemic shrub, Arbutus pavarii,in the Al-Akhdar mountainous landscape of Libya

We sampled twenty populations of the vulnera- ble endemic shrub or tree, Arbutus pavarii Pampan., at different elevations and aspects within the A1-Akhdar mountainous region of Libya. Our sampling sites were at elevations ranging from 285 to 738 m above sea level, and several different habitats： vallies （locally known as wadis）, north- and south-facing slopes, and mountaintops. All individuals within each quadrat were studied. Population size and structure, and plant functional traits were assessed. None of the populations had a stable distribution of size classes. Some consisted mostly of small plants, with little or no fruit production; others consisted only of mid-sized and large plants, with high fruit production, but no juvenile recruitment. There was a significant increase in percent cover with increasing elevation; reproductive output （the number of fruits per branch and total number of fruits per individual） also generally increased with elevation. In some of these populations the lack of recruitment, and in others the failure to produce fruit, together constituted serious demographic threats. In light of these results, recommen- dations are made for conservation of this vulnerable endemic species.

Desire, Discipline, and Happiness

This paper develops an Augustinian response to political problems diagnosed by Michel Foucault＇s analysis of modem power. Foucault argues that power in the modem age is not repressive but creative. Instead of prohibiting acts, political power disciplines and normalizes subjects. Foucault＇s alternative consists in practices of aesthetic self-creation not linked to transcendent or natural order. Within Augustine＇s account of the purposive nature of love and desire, however, lies an implicit critique of Foucault＇s ethic of aesthetic self-creation. Augustine＇s eudaimonism allows him to resist the process of normalization. Augustine provides an alternative to both modem political practice and a Foucauldian practice of aesthetic self-creation.

Reliability and Validity of a French Version of the Posttraumatic Growth Inventory

In the context of traumatic stress, the dominant discourse has mainly focused on distress, thus undermining the role that eustress has in traumatic experiences. One of the few exceptions to this has been the research on posttraumatic growth, which has generated much interest since its beginning. There is an increasing interest in posttraumatic growth in various cultures and hence an expansion of the measure, the Post Traumatic Growth Inventory (PTGI), into various languages. This article is the first to perform a rigorous investigation of the psychometric properties of the PTGI, including the scale and subscale reliability, inter-item and subscale correlations, and using a CFA approach. The properties are established with a French translation using two populations of caregivers: those bereaved by HIV/AIDS and parents who are caring for a child with a life-limiting illness. These properties were determined for both the original 21 item scale as well as the shortened version.

Risk of permanent medical impairment after road traffic crashes: A systematic review

Purpose:To systematically review the risk of permanent disability related to road traffic injuries(RTIs)and to determine the implications for future research regarding permanent impairment following road traffic crashes.Methods:We conducted this systematic review according to the preferred reporting items for systematic reviews and meta-analysis statement.An extended search of the literature was carried out in 4 major electronic databases for scientific research papers published from January 1980 to February 2020.Two teams include 2 reviewers each,screened independently the titles/abstracts,and after that,reviewed the full text of the included studies.The quality of the studies was assessed using the strengthening the reporting of observational studies in epidemiology(STROBE)checklist.A third reviewer was assessed any discrepancy and all data of included studies were extracted.Finally,the data were systematically analyzed,and the related data were interpreted.Results:Five out of 16 studies were evaluated as high-quality according to the STROBE checklist.Fifteen studies ranked the initial injuries according to the abbreviated injury scale 2005.Five studies reported the total risk of permanent medical impairment following RTIs which varied from 2%to 23%for car occupants and 2.8%to 46%for cyclists.Seven studies reported the risk of permanent medical impairment of the different body regions.Eleven studies stated the most common body region to develop permanent impairment,of which 6 studies demonstrated that injuries of the cervical spine and neck were at the highest risk of becoming permanent injured.Conclusion:The finding of this review revealed the necessity of providing a globally validated method to evaluate permanent medical impairment following RTIs across the world.This would facilitate decisionmaking about traffic injuries and efficient management to reduce the financial and psychological burdens for individuals and communities.

Is tax evasion macho?Testosterone,personality traits and evasion

This paper examines the potential effects of testosterone and personality traits on the decision to evade taxes.In a series of experiments,subjects completed behavioural tasks and made a one-shot tax evasion decision.We estimate a negative weakly significant treatment effect,which suggests that an exogenous increase in the testosterone level may inhibit the decision to evade taxes.Our results also suggest that higher dominance and independent self-construal,as well as lower self-control,are associated with a greater likelihood of tax evasion.We discuss the mechanisms potentially linking testosterone to tax evasion.These findings support the inclusion of biological factors in the analysis of tax evasion behaviour.