nils-herrmann/clean_scirepeval huggingface dataset:
The Effectiveness of Group Spiritual Intervention on Self esteem and Happiness Among Men Undergoing Methadone Maintenance Treatment.
Venue: Current drug research reviews
Year: 2019

Drug dependence or substance use disorder not only affects a person's life but also brings a lot of challenges for families and communities and imposes heavy burdens on them. There are various therapies in the domain of addiction whose main purposes are to reduce or to cut down substance abuse.  This study aimed to determine the effectiveness of group spiritual intervention on selfesteem and happiness among male clients undergoing methadone maintenance treatment.  This study was an intervention study in which 60 clients affected with substance abuse and undergoing methadone maintenance treatment were recruited. The study samples were selected through convenience sampling method and then divided randomly into two groups of 30 individuals: intervention and control. The intervention group attended group spiritual interventions for 10 sessions. Self esteem and happiness among the study participants were also measured through Coopersmith Self Esteem Inventory and Oxford Happiness Questionnaire before and after the intervention.  The results showed a significant difference between both intervention and control groups in terms of self esteem and happiness (P 0.05) so that the participants in the intervention group demonstrated a significant improvement in their self esteem and happiness.  It was concluded that group spiritual intervention as a useful method could be effective in enhancing self esteem and happiness among addicted individuals undergoing methadone maintenance treatment. The given treatment could be also used as a complementary therapy beside methadone maintenance treatment to reduce the likelihood of people returning to substance abuse.
Effect of inulin polymerization degree on various properties of synbiotic fermented milk including Lactobacillus acidophilus La 5 and Bifidobacterium animalis Bb 12.
Venue: Journal of dairy science
Year: 2019

The effects of inulin degree of polymerization (DP) on the viabilities of Lactobacillus acidophilus La 5 and Bifidobacterium animalis Bb 12 and on some parameters of fermented milk, such as microbiological, rheological, biochemical, and sensory properties, were investigated during 30 d of storage. Samples were produced using L. acidophilus La 5 and B. animalis Bb 12, along with inulin having different DP as prebiotic, and the effects of high DP (DP 23) and low DP (DP 10) inulin on fermented milk, were determined. The viability of both strains increased when they were used with inulin having any DP. The addition of inulin increased the consistency index of all samples. During storage, we observed an increase in lactic and acetic acid contents of samples in which high DP inulin was used, for both strains of bacteria. Of the combinations we tested, the sample produced with L. acidophilus La 5 and high DP inulin demonstrated the highest rheological and sensory performance as well as the best viability of probiotics.
Chromism of three coordination polymers based on 1 (2 carboxyethyl) 4,4' bipyridinium ligand
Year: 2020

Three novel coordination polymers (CPs) based on 1 (2 carboxyethyl) 4,4' bipyridinium bromide (HCBbpyBr) have been prepared [Cd2(CBbpy)(m BDC)2(H2O)4]*H2O}n (1) [Ni(CBbpy)2(H2O)2](p BDC)*6H2O}n (2) [Co(CBbpy)2(H2O)2](p HBDC)2*3H2O}n (3) (m H2BDC 1,3 benzenedicarboxylic acid; p H2BDC 1,4 benzenedicarboxylic acid) The crystal structures and chromic behaviors of three compounds have been studied. Single crystal X ray analyses reveal that compound 1 features a 2D layered structure, compounds 2 and 3 have similar 1D double chain like structure. Compound 1 displays electron transfer (ET) photochromism, compound 2 exhibits ligand based ET photochromism and metal based hydrochromism owing to ligand field change induced by de /rehydration, while compound 3 exhibits ET thermochromism accompanying ligand field change around the metal. The differences in the central metal ions and auxiliary carboxylate units have a great influence on the final structures, and further result in their different chromic behaviors.
NOVA: A Log structured File System for Hybrid Volatile/Non volatile Main Memories
Venue: FAST
Year: 2016

Fast non volatile memories (NVMs) will soon appear on the processor memory bus alongside DRAM. The resulting hybrid memory systems will provide software with sub microsecond, high bandwidth access to persistent data, but managing, accessing, and maintaining consistency for data stored in NVM raises a host of challenges. Existing file systems built for spinning or solid state disks introduce software overheads that would obscure the performance that NVMs should provide, but proposed file systems for NVMs either incur similar overheads or fail to provide the strong consistency guarantees that applications require. We present NOVA, a file system designed to maximize performance on hybrid memory systems while providing strong consistency guarantees. NOVA adapts conventional log structured file system techniques to exploit the fast random access that NVMs provide. In particular, it maintains separate logs for each inode to improve concurrency, and stores file data outside the log to minimize log size and reduce garbage collection costs. NOVA's logs provide metadata, data, and mmap atomicity and focus on simplicity and reliability, keeping complex metadata structures in DRAM to accelerate lookup operations. Experimental results show that in write intensive workloads, NOVA provides 22% to 216x throughput improvement compared to state of the art file systems, and 3.1x to 13.5x improvement compared to file systems that provide equally strong data consistency guarantees.
Covert speech communication through audio steganography using DWT and SVD
Venue: 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
Year: 2020

In this paper, a covert speech communication technique through a semi blind audio steganography algorithm using discrete wavelet transform (DWT) and singular value decomposition (SVD) is proposed. This method securely transmits the speech signal by embedding its singular values (SV) in a cover audio. The cover audio is decomposed using fifth level DWT and embedding is performed in SV matrix of approximate coefficients to achieve good imperceptibility and robustness to the attacks. The performance of the proposed algorithm is evaluated by conducting imperceptibility and robustness tests on various speech signals. The experimental results show that the secret speech is reconstructed with high SNR, correlation and Perceptual Evaluation of Speech Quality (PESQ) score even the stego audio is subjected to various attacks. It is observed that under no attack conditions the correlation coefficient (NCC) is 1.0, SNR and PESQ of reconstructed secret audio is 70.58 and 4.49, respectively.
An account of EFL learners' self efficacy and gender in the Flipped Classroom Model
Venue: Education and Information Technologies
Year: 2020

Emerging technologies and mobile devices have enabled improved quality of learning outcomes in the field of language learning. With the opportunities provided by innovative, emerging tools, traditional ways of learning have been enhanced. The flipped classroom is one of the innovative learning models that have appeared in language learning in the last decade. The current study was carried out to investigate the difference that the flipped classroom made on students' self efficacy and gender. 58 participants with an intermediate proficiency level in English were randomly assigned to one of two conditions: experimental (flipped classroom) and control (traditional) group. The participants employed the Self Efficacy Survey before and after the intervention of flipped classroom. The results demonstrated a significant increase in self efficacy scores of the experimental group. When gender was analyzed separately, the females in the experimental group were found to have greater improvements in self efficacy than their male colleagues in the experimental group when utilizing the flipped classroom practice. In the light of the results, students, especially female students can increase their individual confidence in producing specific or requested performance in language learning while engaged in the flipped classroom.
Local quadratic estimation of the curvature in a functional single index model
Year: 2018

The nonlinear effects of environmental variability on species abundance plays an important role in the maintenance of ecological diversity. Nonetheless, many common models use parametric nonlinear terms pre determining ecological conclusions. Motivated by this concern, we study the estimate of the second derivative (curvature) of the link function g in a functional single index model. Since the coefficient function and the link function are both unknown, the estimate is expressed as a nested optimization. For a fixed and unknown coefficient function, the link function and its second derivative are estimated by local quadratic approximation, then the coefficient function is estimated by minimizing the MSE of the model. In this paper, we derive the rate of convergence of the estimation. In addition, we prove that the argument of g, can be estimated root n consistently. However, practical implementation of the method requires solving a nonlinear optimization problem, and our results show that the estimates of the link function and the coefficient function are quite sensitive to the choices of starting values.
Habit Formation in Wearable Activity Tracker Use Among Older Adults: Qualitative Study
Venue: JMIR mHealth and uHealth
Year: 2021

Wearable activity trackers are popular devices used to motivate behavior change. Wearable activity trackers are especially beneficial for encouraging light physical activity such as walking, which is an ideal behavior for older adults or individuals who cannot be physically active at moderate and vigorous levels. A common problem is that people do not continue to use these wearable devices, with initial behavioral change gains eroding as people disengage. Limited research is available regarding the continued use of wearable activity trackers. The habit formation literature may provide insights into the long term use of wearables and other health informatics devices.  This study aims to uncover the mechanism underlying the long term continued use of wearable devices among older adults through the theoretical lens of habit formation.  In depth interviews were conducted with 20 participants who were aged 65 years or older and had used wearable activity trackers for more than 6 months to understand their experiences and the strategies they employed to support continued use.  Thematic analysis of data revealed 8 themes related to habit formation, including aspects in initiation and goal setting, use of contextual cues, action planning, and coping planning. Long term users tended to have meaningful initiation of wearable activity trackers. They usually started with a small behavioral change goal and gradually increased it. They used consistent time and locational cues to make the use of wearable activity trackers routine. Long term users also used creative contextual cues and reminders to facilitate action planning, engaged in coping planning to deal with anticipated problems, and had a positive mindset and inventive strategies for managing unfulfillment and lapses.  The results of this qualitative study of long term users of wearable activity trackers suggest specific ways to enhance long term habit formation among older adults. These best practices by long term users can inform the future design of technology based behavior interventions.
Evaluating Pretrained Transformer based Models for COVID 19 Fake News Detection
Venue: 2021 5th International Conference on Computing Methodologies and Communication (ICCMC)
Year: 2021

The expeditious growth of technology with social media as a platform for communication has led to a proliferous increase in the spread of misinformation and fake news. The ongoing COVID 19 widespread has pushed us to review posts on various social media platforms to stop people from being subjected to false and perilous posts. Detecting fake news in social media has been the need of an hour. The proposed research work has approached it with various Transformer and recurrent models with several contextual word embedding models. Furthermore, the effectiveness of the proposed model is evaluated by using a different loss function instead of the conventional loss function, Binary cross Entropy. The fake news detection is considered as a sequence classification task, one of the downstream tasks of natural language processing. It has been observed that using domain specific language models along with custom loss function has achieved the highest weighted average F1 score.
Discretionary and transactional human resource practices and employee outcomes: The role of perceived organizational support
Year: 2012

Utilizing perceived organizational support (POS) as the mechanism linking HR practices to employee behaviors in the workplace, we examine a broad set of HR practices in order to understand the relative importance of each HR practice (i.e. those that explain incremental variance over other practices) in influencing employee behaviors. We differentiate between discretionary and transactional HR practices to test the discretionary investment requisite of POS theory. The results show that of the eight discretionary practices, only participation and decision making directly influenced the extra role behaviors that employees exhibit, and only training and development directly impacted the customer oriented behaviors. Furthermore, one of the transactional HR practices was found to have a direct effect on organizational citizenship behavior. Our findings indicate that the performance management process, promotional opportunities, participation, and involvement in decision making affect how employees behave toward the customer and the extra role behaviors they exhibit. Furthermore, this occurs through the view employees develop of the organization as a place to work. That is, these four HR practices demonstrate to employees that they are valued, and, in turn, this feeling of being appreciated impacts their commitment to delivering high quality service to the customer and going beyond their job responsibilities. Implications for research and practice are discussed.
American Dream in Jay Gatsby as the Main Character of The Great Gatsby Novel
Year: 2018

Most Americans have dreams for making their life better in the future. The dream can be called American Dream. It exists in all aspects of Americans" life, for example a novel. One of the novels that discusses American Dream is The Great Gatsby novel. I write this paper themed American Dream is because I want to analyze the concept of American Dream, the characteristics of it at each character, and the way the main character gets his dream. The method of collecting data that is used in making this paper is the method of descriptive qualitative. Then, the method of approach is sociohistorical method. The theory that is used in making this paper is psychoanalysis theory. In analyzing the American Dream in The Great Gatsby, I found the concept of American Dream that has been existed since 1931 by Adams in his book entitled The Epic of America. Then, the characteristics of American Dream at each character are different from others. The final result is the way the main character trying to get his dream that is not easy to do.  American dream, The Great Gatsby, Jay Gatsby, descriptive qualitative method, sociohistorical, psychoanalysis theory
Acetate differentially regulates IgA reactivity to commensal bacteria.
Venue: Nature
Year: 2021

The balance between bacterial colonization and its containment in the intestine is indispensable for the symbiotic relationship between humans and their bacteria. One component to maintain homeostasis at the mucosal surfaces is immunoglobulin A (IgA) the most abundant immunoglobulin in mammals1,2. Several studies have revealed important characteristics of poly reactive IgA3,4, which is produced naturally without commensal bacteria. Considering the dynamic changes within the gut environment, however, it remains uncertain how the commensal reactive IgA pool is shaped and how such IgA affects the microbial community. Here we show that acetate one of the major gut microbial metabolites not only increases the production of IgA in the colon, but also alters the capacity of the IgA pool to bind to specific microorganisms including Enterobacterales. Induction of commensal reactive IgA and changes in the IgA repertoire by acetate were observed in mice monocolonized with Escherichia coli, which belongs to Enterobacterales, but not with the major commensal Bacteroides thetaiotaomicron, which suggests that acetate directs selective IgA binding to certain microorganisms. Mechanistically, acetate orchestrated the interactions between epithelial and immune cells, induced microbially stimulated CD4 T cells to support T cell dependent IgA production and, as a consequence, altered the localization of these bacteria within the colon. Collectively, we identified a role for gut microbial metabolites in the regulation of differential IgA production to maintain mucosal homeostasis.
Heavy Metal Stress and Its Consequences on Exopolysaccharide (EPS) Producing Pantoea agglomerans
Venue: Applied Biochemistry and Biotechnology
Year: 2018

AbstractCurrently, the heavy metal pollution is of grave concern, and the part of microorganism for metal bioremediation should take into account as an efficient and economic strategy. On this framework, the heavy metal stress consequences on exopolysaccharide (EPS) producing agricultural isolate, Pantoea agglomerans, were studied. The EPS production is a protective response to stress to survive and grow in the metal contaminated environment. P. agglomerans show tolerance and mucoid growth in the presence of heavy metals, i.e. mercury, copper, silver, arsenic, lead, chromium, and cadmium. EDX first confirmed the metal accumulation and further, FTIR determined the functional groups involved in metal binding. The ICP AES identified the location of cell bound and intracellular metal accumulation. Metal deposition on cell surface has released more Ca2+ The effect on bacterial morphology investigated with SEM and TEM revealed the sites of metal accumulation, as well as possible structural changes. Each heavy metal caused distinct change and accumulated on cell bound EPS with some intracellular deposits. The metal stress caused a decrease in total protein content and increased in total carbohydrate with a boost in EPS. Thus, the performance of P. agglomerans under metal stress indicated a potential candidate for metal bioremediation.
UV luminosity functions at redshifts z 4 to z 10: 10,000 galaxies from HST legacy fields
Year: 2014

The remarkable Hubble Space Telescope?(HST) data sets from the CANDELS, HUDF09, HUDF12, ERS, and BoRG/HIPPIES programs have allowed us to map the evolution of the rest frame UV luminosity function (LF) from to We develop new color criteria that more optimally utilize the full wavelength coverage from the optical, near IR, and mid IR observations over our search fields, while simultaneously minimizing the incompleteness and eliminating redshift gaps. We have identified 5859, 3001, 857, 481, 217, and 6 galaxy candidates at and respectively, from the ?1000 arcmin2 area covered by these data sets. This sample of >10,000 galaxy candidates at is by far the largest assembled to date with HST. The selection of 4?8 candidates over the five CANDELS fields allows us to assess the cosmic variance; the largest variations are at Our new LF determinations at and span a 6 mag baseline and reach to ?16 AB mag. These determinations agree well with previous estimates, but the larger samples and volumes probed here result in a more reliable sampling of galaxies and allow us to reassess the form of the UV LFs. Our new LF results strengthen our earlier findings to significance for a steeper faint end slope of the UV LF at with evolving from at to at (and at consistent with that expected from the evolution of the halo mass function. We find less evolution in the characteristic magnitude M* from to the observed evolution in the LF is now largely represented by changes in No evidence for a non Schechter like form to the z 4?8 LFs is found. A simple conditional LF model based on halo growth and evolution in the M/L ratio of halos provides a good representation of the observed evolution.
The integrated applications of WIFI and APP used in the shopping mall environment for menber card E marketing
Venue: 2016 International Conference on Machine Learning and Cybernetics (ICMLC)
Year: 2016

In the Information Age, the problem of information overload as a form of explicitly good news or pollution has become more popular, the consumer's attention also becomes the scarce resource to be allocated. Member card can provide personal identification, authentication, data storage, and relevant application. It may provide strong marketing media for customer relationship within business organizations. However, many customers have received annoyed messages in the inappropriate time and place on their mobile devices when they were not expecting it. In this paper, the integrated applications of mall's Wi Fi and App are proposed. The mobile devices of member card holder's media access control address (MAC address) collected by way of the mall's App via local Wi Fi APs(access point) which connected the central administration server and received or interchanged information and configuration settings with the card account. By the integrated system, the mall and card members always keep in communication upon the system infrastructure; meanwhile, they are in visiting mall domain area. This is an important opportunity moment for the mall managers to grasp the categorized customers in real time. As the above mentioned moment, the mall manager could create extensive value and precisely aim to their products or services to their targeted customers by delivering marketing information. The typical deployment zone for the proposed approach is multiple computing applications. Our expected goal is to build a smart mall applications and location based services (LBS)
Automated severity assessment of software defect reports
Venue: 2008 IEEE International Conference on Software Maintenance
Year: 2008

In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testing. Proper severity assessment is essential for appropriate resource allocation and planning for fixing activities and additional testing. Severity assessment is strongly influenced by the experience of the test engineers and by the time they spend on each issue. The paper presents a new and automated method named SEVERIS (severity issue assessment) which assists the test engineer in assigning severity levels to defect reports. SEVERIS is based on standard text mining and machine learning techniques applied to existing sets of defect reports. A case study on using SEVERIS with data from NASApsilas Project and Issue Tracking System (PITS) is presented in the paper. The case study results indicate that SEVERIS is a good predictor for issue severity levels, while it is easy to use and efficient.