nils-herrmann/clean_scirepeval huggingface dataset:
The Effect of Information Communication Technology Interventions on Reducing Social Isolation in the Elderly: A Systematic Review
Venue: Journal of medical Internet research

The aging of the population is an inexorable change that challenges governments and societies in every developed country. Based on clinical and empirical data, social isolation is found to be prevalent among elderly people, and it has negative consequences on the elderly's psychological and physical health. Targeting social isolation has become a focus area for policy and practice. Evidence indicates that contemporary information and communication technologies (ICT) have the potential to prevent or reduce the social isolation of elderly people via various mechanisms.  This systematic review explored the effects of ICT interventions on reducing social isolation of the elderly.  Relevant electronic databases (PsycINFO, PubMed, MEDLINE, EBSCO, SSCI, Communication Studies: a SAGE Full Text Collection, Communication Mass Media Complete, Association for Computing Machinery (ACM) Digital Library, and IEEE Xplore) were systematically searched using a unified strategy to identify quantitative and qualitative studies on the effectiveness of ICT mediated social isolation interventions for elderly people published in English between 2002 and 2015. Narrative synthesis was performed to interpret the results of the identified studies, and their quality was also appraised.  Twenty five publications were included in the review. Four of them were evaluated as rigorous research. Most studies measured the effectiveness of ICT by measuring specific dimensions rather than social isolation in general. ICT use was consistently found to affect social support, social connectedness, and social isolation in general positively. The results for loneliness were inconclusive. Even though most were positive, some studies found a nonsignificant or negative impact. More importantly, the positive effect of ICT use on social connectedness and social support seemed to be short term and did not last for more than six months after the intervention. The results for self esteem and control over one's life were consistent but generally nonsignificant. ICT was found to alleviate the elderly's social isolation through four mechanisms: connecting to the outside world, gaining social support, engaging in activities of interests, and boosting self confidence.  More well designed studies that contain a minimum risk of research bias are needed to draw conclusions on the effectiveness of ICT interventions for elderly people in reducing their perceived social isolation as a multidimensional concept. The results of this review suggest that ICT could be an effective tool to tackle social isolation among the elderly. However, it is not suitable for every senior alike. Future research should identify who among elderly people can most benefit from ICT use in reducing social isolation. Research on other types of ICT (eg, mobile phone based instant messaging apps) should be conducted to promote understanding and practice of ICT based social isolation interventions for elderly people.
Effects of Lumbar Stability Exercise on the Muscle Thickness and Contraction Time Using Sound Wave Vibrator and Swiss Ball

The purpose of this study was to investigate the effects on the muscle thickness and contraction time using sound wave vibrator and swiss ball.  This study was performed on 20 subjects. 20 subjects were divided into two groups; Lumbar stability exercise using sound wave vibrator exercise(n=10)(Group1) Lumbar stability exercise using Swiss ball exercise(n=10)(Group2) Both of the group performed the exercise 3 times a week for 5 weeks. The data was analyzed by the paired t test to compare before and after difference of factors on each group and the Independent t test to compare the between groups.  Both group were increased muscle contracture time on Straight Leg Rise(SLR) test (p 0.05)  As a result of this study, we suggest that the sound wave vibrator may be effective exercise tool for lumbar stability exercise like a swiss ball.
Detection of Drug Induced Acute Kidney Injury in Humans Using Urinary KIM 1, miR 21, 200c, and 423.
Venue: Toxicological sciences an official journal of the Society of Toxicology

Drug induced acute kidney injury (AKI) is often encountered in hospitalized patients. Although serum creatinine (SCr) is still routinely used for assessing AKI, it is known to be insensitive and nonspecific. Therefore, our objective was to evaluate kidney injury molecule 1 (KIM 1) in conjunction with microRNA (miR) 21, 200c, and 423 as urinary biomarkers for drug induced AKI in humans. In a cross sectional cohort of patients (n 135) with acetaminophen (APAP) overdose, all 4 biomarkers were significantly (P .004) higher not only in APAP overdosed (OD) patients with AKI (based on SCr increase) but also in APAP OD patients without clinical diagnosis of AKI compared with healthy volunteers. In a longitudinal cohort of patients with malignant mesothelioma receiving intraoperative cisplatin (Cp) therapy (n 108) the 4 biomarkers increased significantly (P .0014) over time after Cp administration, but could not be used to distinguish patients with or without AKI. Evidence for human proximal tubular epithelial cells (HPTECs) being the source of miRNAs in urine was obtained first, by in situ hybridization based confirmation of increase in miR 21 expression in the kidney sections of AKI patients and second, by increased levels of miR 21, 200c, and 423 in the medium of cultured HPTECs treated with Cp and 4 aminophenol (APAP degradation product) Target prediction analysis revealed 1102 mRNA targets of miR 21, 200c, and 423 that are associated with pathways perturbed in diverse pathological kidney conditions. In summary, we report noninvasive detection of AKI in humans by combining the sensitivity of KIM 1 along with mechanistic potentials of miR 21, 200c, and 423.
Effects of titanium dioxide nanoparticles derived from consumer products on the marine diatom Thalassiosira pseudonana
Venue: Environmental Science and Pollution Research

Increased manufacture of TiO2 nanoproducts has caused concern about the potential toxicity of these products to the environment and in public health. Identification and confirmation of the presence of TiO2 nanoparticles derived from consumer products as opposed to industrial TiO2 NPs warrant examination in exploring the significance of their release and resultant impacts on the environment. To this end, we examined the significance of the release of these particles and their toxic effect on the marine diatom algae Thalassiosira pseudonana. Our results indicate that nano TiO2 sunscreen and toothpaste exhibit more toxicity in comparison to industrial TiO2 and inhibited the growth of the marine diatom T. pseudonana. This inhibition was proportional to the exposure time and concentrations of nano TiO2. Our findings indicate a significant effect, and therefore, further research is warranted in evaluation and assessment of the toxicity of modified nano TiO2 derived from consumer products and their physicochemical properties.
An investigation on the effects of phase change material on material components used for high temperature thermal energy storage system

The latent heat thermal energy storage (LHTES) systems for concentrated solar power (CSP) plants with advanced power cycle require high temperature phase change materials (PCMs) Graphite foams with high thermal conductivity to enhance the poor thermal conductivity of PCMs. Brazing of the graphite foams to the structural metals of the LHTES system could be a method to assemble the system and a method to protect the structural metals from the molten salts. In the present study, the LHTES prototype capsules using MgCl2 graphite foam composites were assembled by brazing and welding, and tested to investigate the corrosion attack of the PCM salt on the BNi 4 braze. The microstructural analysis showed that the BNi 4 braze alloy can be used not only for the joining of structure alloy to graphite foams but also for the protecting of structure alloy from the corrosion by PCM.
Digital storytelling promoting twenty first century skills and student engagement

This article presents results on how students became engaged and motivated when using digital storytelling in knowledge creation in Finland, Greece and California. The theoretical framework is based on sociocultural theories. Learning is seen as a result of dialogical interactions between people, substances and artefacts. This approach has been used in the creation of the Global Sharing Pedagogy (GSP) model for the empirical study of student levels of engagement in learning twenty first century skills. This model presents a set of conceptual mediators for student driven knowledge creation, collaboration, networking and digital literacy. Data from 319 students were collected using follow up questionnaires after the digital storytelling project. Descriptive statistical methods, correlations, analysis of variance and regression analysis were used. The mediators of the GSP model strongly predicted student motivation and enthusiasm as well as their learning outcomes. The digital storytelling project, using the technological platform Mobile Video Experience (MoViE) was very successful in teaching twenty first century skills.
The Power of Digital Storytelling to Support Teaching and Learning

Although the term "digital storytelling" may not be familiar to all readers, over the last twenty years, an increasing number of educators and students around the world have incorporated this technology into classroom instruction and educational projects. For more than twelve years, faculty members and graduate students in the Learning, Design and Technology Program at the University of Houston College of Education have been exploring the use of digital storytelling to support both teaching and learning. In 2004, the author established the Educational Uses of Digital Storytelling website http:/digitalstorytelling.coe.uh.edu to serve as a helpful resource for educators and students who were interested in learning how digital storytelling could be integrated into a variety of educational activities. This paper presents an overview of how digital storytelling has and continues to be used in education to support both teaching and learning. In addition, recommendations and guidelines are presented for educators who would like to teach students to use digital storytelling as an educational endeavor.
Engaging preservice primary and preprimary school teachers in digital storytelling for the teaching and learning of mathematics
Venue: Br. J. Educ. Technol.

A significant criticism made of preservice teacher education is that it fails to prepare teachers in such a way that they would feel confident in the use of information and communication technology ICT) in teaching, despite the assumed digital literacy of student teachers and the children they will eventually teach. New technologies have enabled multimodal design and digital storytelling in meaning making and communication and are now often instrumental and influential in shaping students' social practices and identities. The purpose of this study was to explore an integrative approach in applying ICT in learning with specific reference to the formation of mathematics teaching capability in preservice teachers. It takes into consideration student teachers' lived experiences when introducing ICT supported learning into their classrooms as well as their exposure to related university courses such as educational technology, special didactics of mathematics and mathematics. This paper describes the instructional design framework and assessment criteria for mathematical problem solving and digital storytelling introduced to an ICT course for student teachers. Based on the analysis of pre and posttesting of the subjects' capabilities and reports of their perceptions, it is suggested that preservice teachers can efficiently develop their content knowledge in mathematics problem solving and that an integrative approach such as that described here may facilitate both mathematical problem solving competences and pedagogical competences for applying digital storytelling in solving mathematical problems. The cohort of preservice teachers had no prior experiences of digital storytelling or multimodal design and perceived them as new practices. Their conceptions changed during the course from the passive recipients to active producers of media content. They demonstrated reflection relative to learning by design and representation modelling. They perceived digital storytelling as a strategy and means for empowering the 'student voice' and the active construction of knowledge. The findings of the study contribute to preservice teacher education indicating that an integrated approach of instruction that deploys digital storytelling and multimodal design can help facilitate preservice teachers' pedagogical competencies and mathematical content knowledge.
How digital storytelling is used in mental health: A scoping review.
Venue: International journal of mental health nursing

The creative arts can be used to support stakeholders of mental health services to communicate and share their lived experience. Digital storytelling is one method that has been used to capture people's lived experience. In this scoping review, we were interested in mapping how digital storytelling has been used in mental health, and to identify gaps in the literature. Nine databases were searched to identify peer reviewed literature published between January 2000 and August 2015; 15 articles were included in the review. The articles were categorized across four broad areas: educational interventions, learning skills, learning about other people's lived experience, and learning about personal lived experience. We identify that while digital storytelling has potential as a participatory process to promote mutual understanding of and empathy towards lived experiences in mental health, there is a dearth of research in this area. More research is needed on the use of digital storytelling in mental health to determine its effectiveness in progressing a recovery orientation in service provision that is built on solidarity and a social justice agenda.
The effect of digital storytelling on visual memory and writing skills
Venue: Comput. Educ.

The aim of this study is to determine the effect of digital storytelling on the visual memory capacity and writing skills of students. A total of 59?s grade primary school students participated in the current study. The randomized pretest posttest control group design was used in the study. Students in the experimental groups completed the process through digital storytelling. The research was conducted over 13 weeks. The "Benton Visual Retention Test" and "Composition (Written Narrative) Evaluation Scale" were applied as pretest and posttest. In order to test whether there was an improvement within groups and to see if there were differences between groups, the hypotheses were tested using the t test and obtaining gain scores. As a result, the findings showed a significant improvement in terms of the visual memory capacity and writing skills of students in both experimental and control groups, and the average gain scores were higher in the experimental group. Findings further demonstrated that digital storytelling created a significant difference in the writing skills of students. However, no statistically significant difference was observed between groups although the gain score averages of the experimental group students were higher in terms of visual memory capacity. An examination was conducted on DST's effect on visual memory capacity and writing skills.DST improved students' visual memory capacity and writing skills.DST has the potential to succeed in education.This study can be viewed as a positive example of Community Service Practices.
Exploring How Video Digital Storytelling Builds Relationship Experiences

The purpose of the paper is to explore how digital storytelling enables a consumer relationship experience in online peer to peer communities. Within the value cocreation framework, digital storytelling is interpreted as an encounter communication practice where consumers adopt the role of storytellers and story receivers. This study adopts a qualitative multimethod approach to investigate the meanings contained in video stories and the linkage to relationship experience. A case study based on the Airbnb's social platforms was analyzed through the degrees of freedom analysis instrument (DFA) and through a systematic dimensional qualitative research called BASIC IDS (an acronym for behavior, affect, sensation, imagery, cognition, interpersonal relations, drugs, and sociocultural factors) to yield psychological valuable insights into the multidimensional construct of consumer relationship experience. The analysis unveils that, within the social media realm, storytelling enables rational, emotional, and relationship experiences. A relationship experience occurs when members of peer to peer communities, not only are rationally and emotionally engaged by the story, but are also moved to action going beyond a vicarious role taking process. Specifically, relatability, a shared sociocultural background, and the drug dimension conceptualize the consumer relationship experience. Implications build on the need for companies to enhance the power of stories through favoring consumers' video making and integrating consumers' flow of stories between multiple social media platforms.
Digital Storytelling as Racial Justice

Teacher education is replete with an overwhelming presence of Whiteness, a presence that if not explicitly interrogated indefinitely recycles hegemonic Whiteness. Needed are pedagogical strategies that expose the hegemonic invisibility of Whiteness. This critical reflection examines the utilization of digital storytelling by teacher educators of color to pedagogically deconstruct Whiteness in a predominately White, urban focused teacher education course a necessary deconstruction if these teacher candidates are to effectively teach urban students of color. Particularly, this article deconstructs four academic years of digital stories produced in a mandatory diversity course in an urban teacher education program and illustrates how digital storytelling itself promotes a critical self revelation that confront Whiteness in White teacher candidates. The preliminary analyses suggest that digital storytelling is a racially just way of having White teacher candidates self reflect on their own Whiteness in a multitude of ways, by (a) ending emotional distancing, (b) debunking colorblindness, (c) engaging emotions, and (d) sharing the burden of race.
Frequent Pattern Outlier Detection Without Exhaustive Mining
Venue: PAKDD

Outlier detection consists in detecting anomalous observations from data. During the past decade, pattern based outlier detection methods have proposed to mine all frequent patterns in order to compute the outlier factor of each transaction. This approach remains too expensive despite recent progress in pattern mining field. In this paper, we provide exact and approximate methods for calculating the frequent pattern outlier factor FPOF without extracting any pattern or by extracting a small sample. We propose an algorithm that returns the exact FPOF without mining any pattern. Surprisingly, it works in polynomial time on the size of the dataset. We also present an approximate method where the end user controls the maximum error on the estimated FPOF. Experiments show the interest of both methods for very large datasets where exhaustive mining fails to provide the exact solution. The accuracy of our approximate method outperforms the baseline approach for a same budget in time or number of patterns.
Anytime algorithm for frequent pattern outlier detection
Venue: International Journal of Data Science and Analytics

Outlier detection consists in detecting anomalous observations from data. During the past decade, outlier detection methods were proposed using the concept of frequent patterns. Basically such methods require to mine all frequent patterns for computing the outlier factor of each transaction. This approach remains too expensive despite recent progress in pattern mining field to provide results within a short response time of only a few seconds. In this paper, we provide the first anytime method for calculating the frequent pattern outlier factor (FPOF) This method which can be interrupted at anytime by the end user accurately approximates FPOF by mining a sample of patterns. It also computes the maximum error on the estimated FPOF for helping the user to stop the process at the right time. Experiments show the interest of this method for very large datasets where exhaustive mining fails to provide good approximate solutions. The accuracy of our anytime approximate method outperforms the baseline approach for a same budget in number of patterns.
Sustainable urban electricity supply chain Indicators of material recovery and energy savings from crystalline silicon photovoltaic panels end of life

Solar photovoltaic (PV) electricity has the potential to be a major energy solution, sustainably suitable for urban areas of the future. However, although PV technology has been projected as one of the most promising candidates to replace conventional fossil based power plants, the potential disadvantages of the PV panels end of life (EoL) have not been thoroughly evaluated. The current challenge concerning PV technology resides in making it more efficient and competitive in comparison with traditional fossil powered plants, without neglecting the appraisal of EoL impacts. Indeed, considering the fast growth of the photovoltaic market, started 30 years ago, the amount of PV waste to be handled and disposed of is expected to grow drastically. Therefore, there is a real need to develop effective and sustainable processes to address the needed recycle of the growing number of decommissioned PV panels. Many laboratory scale or pilot industrial processes have been developed globally during the years by private companies and public research institutes to demonstrate the real potential offered by the recycling of PV panels. One of the tested up lab scale recycling processes for the crystalline silicon technology is the thermal treatment, aiming at separating PV cells from the glass, through the removal of the EVA (Ethylene Vinyl Acetate) layer. Of course, this treatment may entail that some hazardous components, such as Cd, Pb, and Cr, are released to the environment, therefore calling for very accurate handling. To this aim, the sustainability of a recovery process for EoL crystalline silicon PV panels was investigated by means of Life Cycle Assessment (LCA) indicators. The overall goal of this paper was to compare two different EoL scenarios, by evaluating the environmental advantages of replacing virgin materials with recovered materials with a special focus on the steps and/or components that can be further improved. The results demonstrate that the recovery process has a positive effect in all the analyzed impact categories, in particular in freshwater eutrophication, human toxicity, terrestrial acidification and fossil depletion indicators. The main environmental benefits arise from the recovery of aluminum and silicon. In particular, the recovered silicon from PV waste panels would decrease the need for raw silicon extraction and refining in so lowering the manufacturing costs, and end of life management of PV panels. Moreover, the amount of the recovered materials (silicon, aluminum and copper, among others) suggests a potential benefit also under an economic point of view, based on present market prices.