Miracle-dz/UniFAR-FTUs huggingface dataset:
Publication Trends for Alzheimer's Disease Worldwide and in China: A 30-Year Bibliometric Analysis

Background: Alzheimer's disease, the most common form of dementia, has tremendous social and economic impact worldwide. This study aimed to analyze global trends in Alzheimer's disease research and to investigate China's contribution to this research. Methods: The quantity and influence of publications related to Alzheimer's disease in China and elsewhere were compared. The Web of Science (WOS) and PubMed databases were searched from 1988 to 2017 using the terms “Alzheimer's disease” or “Alzheimers disease. ” Global Alzheimer's disease publications were classified and analyzed. Keywords, countries, and institutions publishing articles on Alzheimer's disease were analyzed, and citations of these articles were examined. Results: A total of 181,116 articles regarding Alzheimer's disease research were identified and analyzed. Neuroscience and neurology were the main research categories both globally and in China. Basic research dominated Alzheimer's publications, accounting for 30.93% of global publications and 95.31% of publications in China. A total of 8,935 journals published articles related to Alzheimer's disease. The journal Neurobiology of Aging published the most Alzheimer's disease-related articles, numbering 5,206 over the time period examined. The National Institutes of Health, the National Institute on Aging, and the Department of Health and Human Services jointly sponsored 11,809 articles, ranking first in the world. The National Natural Science Foundation of China funded the largest number of studies on Alzheimer's disease in China and recognized the importance of traditional Chinese medicine in Alzheimer's disease research. Conclusions: The present study provides data for global researchers to understand research perspectives and develop future research directions. In recent years, Chinese researchers have contributed significantly to global Alzheimer's research. Still, strengthening international cooperation could improve the quality and number of publications regarding Alzheimer's disease.
Resolving flows around black holes: numerical technique and applications

MC is supported by the Science and Technology Facilities Council (STFC). This work was performed on the following: the COSMOS Shared Memory system at DAMTP, University of Cambridge operated on behalf of the STFC DiRAC HPC Facility – this equipment is funded by BIS National E-infrastructure capital grant ST/J005673/1 and STFC grants ST/H008586/1, ST/K00333X/1; DiRAC Darwin Supercomputer hosted by the University of Cambridge High Performance Computing Service (http://www.hpc.cam.ac.uk/), provided by Dell Inc. using Strategic Research Infrastructure Funding from the Higher Education Funding Council for England and funding from the Science and Technology Facilities Council; DiRAC Complexity system, operated by the University of Leicester IT Services, which forms part of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment is funded by BIS National E-Infrastructure capital grant ST/K000373/1 and STFC DiRAC Operations grant ST/K0003259/1. DiRAC is part of the National E-Infrastructure.
SOCIALLY PRODUCTIVE ACTIVITIES AND SUBJECTIVE WELLBEING AMONG RURAL PERAK ELDERLY

The uncertain knowledge on level of wellbeing among older adults has attracted an increasing number of public, political and scientific attentions. Wellbeing has been described as a state of equilibrium or balance that can be affected by life events or challenges. The purpose of this study is to investigate the relationship between socially productive activities and subjective wellbeing among rural elderly in Perak. A descriptive research methodology was adopted for this research. A broad range of productive factors (such as voluntarism and paid work) and measures of wellbeing (such as self-rated health and life satisfaction) shall be analysing in t-test and Pearson correlation analysis. Information needed are obtained sing a cross-sectional design method across rural districts in Perak. Questionnaires survey was distributed to 480 older adults age from 50 t0 75+. This paper found out that there are no significant different between paid work and self-rated health and life satisfaction, whereas there are significant relationship between voluntarism and self-rated health and life satisfaction. The result from this research shall provide provision for the idea that engaging in voluntarism is advantageous to elderly well-being.
Game Edukasi Berbasis Kinect untuk Siswa Tunagrahita Ringan Tingkat SMA (GEMASKIT)

Learning activities of student with mild mental retardation are restricted by conventional learning method. Not all of materials in curriculum were designed in concrete or functional scheme. One-way intensive learning from teacher to the students could decrease learning motivation eagerness. Moreover they become boring and forget the materials quickly. Furthermore, in motorical aspect, students with mild mental retardation also has limitation in their motoric balance. Kinect-based educational game for student with mental retardation is a desktop game. It’s objective is enhancing students comprehension of learning during in school and also train their moving balance aspect. The game is played using Kinect and Personal Computer. It implements motion-based gestures, augmented reality and voice recognition. It would cover not only cognitive aspect but also affective and psychomotor. Besides, it would appeal students to study the materials and increase their comprehension in learning process.
Mitigation of Insider Attacks for Data Security in Distributed Computing Environments

In big data systems, the infrastructure is such that large amounts of data are hosted away from the users. Information security is a major challenge in such systems. From the customer’s perspective, one of the big risks in adopting big data systems is in trusting the service provider who designs and owns the infrastructure, with data security and privacy. However, big data frameworks typically focus on performance and the opportunity for including enhanced security measures is limited. In this dissertation, the problem of mitigating insider attacks is extensively investigated and several static and dynamic run-time techniques are developed. The proposed techniques are targeted at big data systems but applicable to any data system in general. First, a framework is developed to host the proposed security techniques and integrate with the underlying distributed computing environment. We endorse the idea of deploying this framework on special purpose hardware and a basic model of the software architecture for such security coprocessors is presented. Then, a set of compile-time and run-time techniques are proposed to protect user data from the perpetrators. These techniques target detection of insider attacks that exploit data and infrastructure. The compile-time intrusion detection techniques analyze the control flow by disassembling program binaries while the run-time techniques analyze the memory access patterns of processes running on the system. The proposed techniques have been implemented as prototypes and extensively tested using big data applications. Experiments were conducted on big data frameworks such as Hadoop
Effectiveness of Object Relation Approach on Ego Strength and Communicational Patterns among Married Women with Breast Cancer

Introduction: The purpose of this study was to investigate the effectiveness of object relation approach on ego strength and communicational patterns among married women with breast cancer. Method: The present experimental study included pre-test, post-test with the control group design. The statistical population of this study consisted of all 40-60 years old women with breast cancer in Tabriz. Thirty people were selected by sampling method and were randomly placed in both experimental and control groups. The Instruments used in this study were psychological inventory of ego strength (PIES) and Christensen & Suhhaway communicational patterns questionnaire (CPQ). The experimental group received object relations training for six 90-minutes sessions, one session in a week. Analysis of the data was done using descriptive and inferential tests such as covariance analysis was conducted. Results: The findings showed that difference between two groups of the experimental and control one was significant in terms of ego strength (p<0.001) and mutual constructive patterns (p<0.001) . Conclusion: Based on the results, the object relation approach has a significant impact on the modulation of the ego's strength, by modifying and improving the defense mechanisms of the patients. Also this approach improves the communication patterns of women with breast cancer. They were able to communicate more mature with the spouse and family thus they were able to improve their communication patterns. Object relation approach can be used in similar cases. Declaration of Interest: None.
Adolescents’ perceptions of digital media’s potential to elicit jealousy, conflict and monitoring behaviors within romantic relationships

Understanding the role of digital media in adolescents’ romantic relationships is essential to the prevention of digital dating violence. This study focuses on adolescents’ perceptions of the impact of digital media on jealousy, conflict, and control within their romantic relationships. Twelve focus group interviews were conducted, among 55 secondary school students (ngirls = 28; 51% girls) between the ages of 15 and 18 years (Mage = 16.60 years; SD age = 1.21), in the Dutch-speaking community of Belgium. The respondents identified several sources of jealousy within their romantic relationships, such as online pictures of the romantic partner with others and online messaging with others. Adolescents identified several ways in which romantic partners would react when experiencing feelings of jealousy, such as contacting the person they saw as a threat or looking up the other person’s social media profiles. Along with feelings of jealousy, respondents described several monitoring behaviors, such as reading each other’s e-mails or accessing each other’s social media accounts. Adolescents also articulated several ways that they curated their social media to avoid conflict and jealousy within their romantic relationships. For instance, they adapted their social media behavior by avoiding the posting of certain pictures, or by ceasing to comment on certain content of others. The discussion section includes suggestions for future research and implications for practice, such as the need to incorporate information about e-safety into sexual and relational education and the need to have discussions with adolescents, about healthy boundaries for communication within their friendships and romantic relationships.
An Invitation to Applied Category Theory. Seven Sketches in Compositionality. By Brendan Fong and David I. Spivak. Cambridge University Press, 2019. Paperback, pp. 348. Price GBP 37.99. ISBN 9781108711821.

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Green Performs Better: Energy Efficiency and Financial Return on Buildings

This study investigates the effect of energy consumption on the financial performance of residential buildings in a large panel framework. Based on prior European studies regarding the use of energy performance certificates (EPCs), we analyse whether the responsible use of energy leads to a significant price differentiation between 2008 and 2010. Based on the IPD Databank and the German statistical office, our descriptive portfolio results show that energy efficient buildings have an up to 3.15% higher return and 0.76 €/m² higher rent prices than inefficient assets. Furthermore, (un-) conditional regression results provide evidence that one percent decline in energy consumption affects the total return of buildings positively by 0.015%, all else equal. The hedonic results additionally show that one percent energy conservation boosts rent prices by 0.08% and market value by 0.45%. Overall, our study presents alternative methodologies when describing and estimating hedonic data and offers the first empirical evidence of the energy price premium in German residential markets.
Family Linked Workplace Resources and Contextual Factors as Important Predictors of Job and Individual Well-being for Employees and Families

This Dissertation is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. For more information, please contact pdxscholar@pdx.edu. Recommended Citation Brady, Jacquelyn Marie, "Family Linked Workplace Resources and Contextual Factors as Important Predictors of Job and Individual Well-being for Employees and Families" (2019). Dissertations and Theses. Paper 5010.
Therapeutic Potential of Neurotrophins for Repair After Brain Injury: A Helping Hand From Biomaterials

Stroke remains the leading cause of long-term disability with limited options available to aid in recovery. Significant effort has been made to try and minimize neuronal damage following stroke with use of neuroprotective agents, however, these treatments have yet to show clinical efficacy. Regenerative interventions have since become of huge interest as they provide the potential to restore damaged neural tissue without being limited by a narrow therapeutic window. Neurotrophins, such as brain-derived neurotrophic factor (BDNF), and their high affinity receptors are actively produced throughout the brain and are involved in regulating neuronal activity and normal day-to-day function. Furthermore, neurotrophins are known to play a significant role in both protection and recovery of function following neurodegenerative diseases such as stroke and traumatic brain injury (TBI). Unfortunately, exogenous administration of these neurotrophins is limited by a lack of blood-brain-barrier (BBB) permeability, poor half-life, and rapid degradation. Therefore, we have focused this review on approaches that provide a direct and sustained neurotrophic support using pharmacological therapies and mimetics, physical activity, and potential drug delivery systems, including discussion around advantages and limitations for use of each of these systems. Finally, we discuss future directions of biomaterial drug-delivery systems, including the incorporation of heparan sulfate (HS) in conjunction with neurotrophin-based interventions.
Developing strategic continuous improvement capability

In developing CI capability, organisations need to move to a level of development in which strategic goals are communicated and deployed and where improvement activity is guided by a process of monitoring and measurement against these strategic objectives. Policy deployment of this kind is more prevalent in Japanese examples and in a handful of cases in Western firms. Implementing it poses significant challenges and requires a different and additional toolkit of enabling resources. This paper reports on the experience of policy deployment in Japan and in Western enterprises and explores some of the implementation issues raised.
Co-Teaching: Loss of professional space from the perspective of special education and general education teachers

By Dr. Cordelia A Yates This study investigated the perspectives of special and general education teachers on the loss of their professional space because of the co-teaching program. This was accomplished through the qualitative methods of data collection and analysis, by in-depth semi-structured faceto-face interviews that were recorded using an electronic device and note taking. The interviews were conducted individually with six high school teachers from public schools, of which four were special education teachers and two were general education teachers. These interviews revealed that teachers defined professional space as personal identity and felt that the loss of their professional space emotionally affected them. The interviews further revealed the lack of acceptance of the program by the teachers, who felt that administrative support was insufficient. Also, the findings revealed that the special education teachers felt marginalized and disrespected by the students in the co-taught classroom. This was largely because of the visual impact of the small space allocated to them in the co-taught general education classroom; while the general education teachers felt inconvenienced and pressurized into making space for the SPED teachers.
Learning from Imbalanced Data of Diverse Strategies with Investigation

A Learning from imbalanced data has no predictable conclusions from existing studies in regards to the effectiveness of diverse methodologies. In this paper we apply bias-variance analysis to study the utility of different strategies for imbalanced learning. We conduct experiments on 15 real-world imbalanced datasets of applying various re-sampling and induction bias adjustment strategies to the standard nai . ve bayes, k-nearest neighbour (k-NN) and decision tree learning algorithms. Our main findings include: Imbalanced class distribution is primarily a high bias problem, which partly explains why it impedes the performance of many standard learning algorithms. Compared to the re-sampling strategies, adjusting induction bias can more significantly vary the bias and variance components of classification errors. Especially the inverse distance weighting strategy can significantly reduce the variance errors for k-NN. Based on these findings we offer practical advice on applying the re-sampling and induction bias adjustment strategies to improve imbalanced learning.
Dose-Effect Relations in Time-Limited Psychotherapy for Depression

Criteria for reliable and clinically significant improvement were applied to standard and individually tailored outcome measures data from 212 depressed clients who had been randomly assigned to receive either 8 or 16 sessions of time-limited psychotherapy. The data were used to address 2 questions: (a) Is the dose - effect curve for psychological symptoms negatively accelerated? and (b) fs there a differential rate of response for acute, chronic, and characterological/interpersonal components of depression? The results supported the differential rate of response of different components of depression and suggested qualifications to the acute, chronic, and characterological/interpersonal components and evidence that both supported and qualified previous suggestions that the doseeffect curve is negatively accelerated. Howard, Kopta, Krause, and Orlinsky (1986) suggested that the dose-effect curve linking the number of psychotherapy sessions that clients receive to their symptomatic improvement is a negatively accelerated one, similar in its general shape to that of many effective pharmacological treatments. In Howard et al.'s (1986) review of outcome studies, 14% of clients showed an improvement before attending an initial session, 53% after 8 sessions, 63% after 13 sessions, and 83% after 52 sessions. These results are consistent with suggestions from meta-analyses of psychotherapy outcome studies that the largest gains are made during the initial 10 sessions of therapy, followed by positive but diminishing returns from additional sessions (e.g., Smith, Glass, & Miller, 1980). Kopta, Howard, Lowry, and Beutler (1994) extended the dose-effect analysis by considering different symptoms separately in a heterogeneous group of clients seen in five outpatient clinics. All clients had completed the Symptom Checklist- 90Revised (SCL- 90-R; Derogatis, 1983 ) or one of several short forms of the SCL-90 (Derogatis, Lipman, & Covi, 1973). Whereas Howard et al. (1986) accepted the widely varying definitions of measurable improvement used in the studies they reviewed, which spanned 30 years, Kopta et al. (1994) invoked stricter criteria of reliable and clinically significant change pro