nils-herrmann/clean_scirepeval huggingface dataset:
Salvage and Extracapsular Implantation for Penile Prosthesis Infection or Extrusion.
Venue: The journal of sexual medicine
Year: 2019

When a penile prosthesis is implanted, a fibrous tissue capsule gradually forms around it. In case of penile prosthesis infection, salvage and immediate reimplantation into the same capsule that envelops the infected prosthesis is a trial to avoid the difficulty and shortening encountered with explantation and delayed reimplantation.  We propose that, on salvage, the infected prosthesis be explanted, the capsule washed out and then abandoned, and the replacement prosthesis implanted in the extracapsular sinusoidal space, between the capsule and tunica albuginea. This aims at decreasing contact between the replacement implant and the pyogenic membrane in the capsule.  This study was performed in a tertiary implantation center, involving 20 prospective cases referred with either an infected implant or pump erosion. Through a penoscrotal incision, lateral corporotomies were performed by superficial cuts, in a trial to identify the extracapsular sinusoidal space before opening the capsule. The capsule was then opened. All components of the implant were explanted, and the capsules were washed out. The extracapsular space within the corpora cavernosa was developed between the capsule and the tunica albuginea by sharp dissection initially, then bluntly dilated with a Hegar dilator. A malleable penile prosthesis was implanted in the extracapsular space bilaterally.  The reinfection rate was evaluated though 7 38 months after surgery.  We were able to identify and dilate the extracapsular space in 18 of 20 cases. Reinfection occurred in 1 case (1 of 18, 5.6% Development of the extracapsular space added approximately 10 minutes to the operative time.  If salvage of an infected penile implant can be delayed until capsule maturation, extracapsular implantation may decrease the reinfection rate.  The limitations are the lack of a control group of intra capsular classic salvage and the relatively limited sample number.  On penile prosthesis salvage surgery, whether for infection or extrusion, implantation of the replacement prosthesis in the extracapsular sinusoidal tissue is associated with low infection rates, because it bypasses the capsule, which may still harbor bacterial contamination despite the wash out. Shaeer O, Shaeer K, AbdelRahman IFS. Salvage and Extracapsular Implantation for Penile Prosthesis Infection or Extrusion.  2019;16:755 759.
Vitamin D and Fall Prevention: An Update
Year: 2016

This chapter will summarize evidence from clinical trials that tested vitamin D supplementation for the prevention of falls. Next to its established benefits on calcium metabolism, several lines of evidence support a direct benefit of vitamin D on muscle. In fact, it has been proposed that fracture prevention observed with vitamin D supplementation among the senior population may in part be explained by its effects on muscle strength and fall prevention. In this chapter, we also discuss conflicting data proposed from recent comprehensive meta analyses.
Sound strategies: the 65 million year old battle between bats and insects.
Venue: Annual review of entomology
Year: 2012

The intimate details regarding the coevolution of bats and moths have been elucidated over the past 50 years. The bat moth story began with the evolution of bat sonar, an exquisite ultrasonic system for tracking prey through the night sky. Moths countered with ears tuned to the high frequencies of bat echolocation and with evasive action through directed turns, loops, spirals, drops, and power dives. Some bat species responded by moving the frequency and intensity of their echolocation cries away from the peak sensitivity of moth ears, and the arms race was on. Tiger moths countered by producing anti bat sounds. Do the sounds advertise moth toxicity, similar to the bright coloration of butterflies; do they startle the bat, giving the moth a momentary advantage in their aerobatic battle; or do they jam the sonar of the bat? The answer is yes. They do all and more in different situations and in different species. Any insect that flies at night must deal with bat predation. Beetles, mantids, true crickets, mole crickets, katydids, green lacewings, and locusts have anti bat strategies, and we have just scratched the surface. In an exciting new twist, researchers are taking the technologies developed in the laboratory back into the field, where they are poised to appreciate the full richness of this remarkable predator prey interaction.
Designing an e commerce recommender system based on collaborative filtering using a data mining approach
Year: 2019

E commerce recommender systems have been converted to a very important decision making helper for customers, and provide online personalised recommendations using information technology and customers' information. In the meantime, collaborative filtering (CF) recommender systems are one of the key components of successful e commerce systems. Despite the popularity and successes of CF, these systems still face a series of serious limitations, including cold start, sparsity of user item matrix, scalability and change of user interest during the time, that impede exact recommendations to customers. Although much research has been presented to overcome these limitations, no comprehensive model is yet offered to reduce them: 1) customer segmentation based on LRFM variables in the level of product category to evaluate the length of customer relationship with the company, recency, frequency, and monetary of purchasing product categories; 2) extracting association rules based on user category matrixes in the level of each cluster; 3) customer segmentation according to demographic variables; 4) change of user item matrix and reduction of its dimensions; 5) developing a new similarity function by weighted combination of results of segmentation methods and CF. According to the gained results, the proposed system of this research has resulted in the removal of traditional CF constraints and presents more accurate and appropriate recommendations for the preferences of customers.
TGF b1 PML SUMOylation peptidyl prolyl cis trans isomerase NIMA interacting 1 (Pin1) form a positive feedback loop to regulate cardiac fibrosis
Venue: Journal of cellular physiology
Year: 2019

Transforming growth factor b (TGF b) signaling pathway is involved in fibrosis in most, if not all forms of cardiac diseases. Here, we evaluate a positive feedback signaling the loop of TGF b1/promyelocytic leukemia (PML) SUMOylation/Pin1 promoting the cardiac fibrosis. To test this hypothesis, the mice underwent transverse aortic constriction (3 weeks) were developed and the morphological evidence showed obvious interstitial fibrosis with TGF b1, Pin1 upregulation, and increase in PML SUMOylation. In neonatal mouse cardiac fibroblasts (NMCFs) we found that exogenous TGF b1 induced the upregulation of TGF b1 itself in a time and dose dependent manner, and also triggered the PML SUMOylation and the formation of PML nuclear bodies (PML NBs) and consequently recruited Pin1 into nuclear to colocalize with PML. Pharmacological inhibition of TGF b signal or Pin1 with LY364947 (3 mM) or Juglone (3 mM) the TGF b1 induced PML SUMOylation was reduced significantly with downregulation of the messenger RNA and protein for TGF b1 and Pin1. To verify the cellular function of PML by means of gain or loss of function, the positive feedback signaling loop was enhanced or declined, meanwhile, TGF b Smad signaling pathway was activated or weakened, respectively. In summary, we uncovered a novel reciprocal loop of TGF b1/PML SUMOylation/Pin1 leading to myocardial fibrosis.
In situ carbon felt anode modification via codeveloping Saccharomyces cerevisiae living template titanium dioxide nanoclusters in a yeast based microbial fuel cell
Year: 2020

Titanium dioxide (TiO2) nanoclusters grown in situ by Saccharomyces cerevisiae as a living template atop a seeded and polyethylenimine functionalized carbon felt are explored for the first time for the enhanced performance of the anode within a yeast based microbial fuel cell (MFC) Widespread, extensive, and synergistic growth of both the yeast biofilm and TiO2 nanoclusters are observed on the hydrophilic surface of the functionalized carbon felt fibers. The entirely green and inexpensive process required only the use of a nanoparticle seed that also acts as the nanoparticle growth initiator: titanium(IV) oxide anatase. The structure and morphology of the TiO2 nanostructures are examined through optical measurements after full experimentation within a yeast based MFC system. Due to the extensive evocation of the exopolysaccharides matrix of the yeast through the well timed introduction of the nanoparticle growth initiator, the yeast biofilm is beneficially affected by the presence of the TiO2 nanoclusters, thus improving the yeast biofilm maturation and electrochemical behaviour. How the yeast biofilm reacts to the invasion of foreign metallic nanoparticles and how this is beneficial to MFC research are explored. The best power density of the MFC achieved through this method was 25.9 6.2 W m 2, an astounding value that far exceeds similar modification techniques to the MFC anode.
Clinical Characteristics and Treatment of Immune Related Adverse Events of Immune Checkpoint Inhibitors
Venue: Immune network
Year: 2020

Immune checkpoint inhibitors (ICIs) have been changing the paradigm of cancer treatment. However, immune related adverse effects (irAEs) have also increased with the exponential increase in the use of ICIs. ICIs can break up the immunologic homeostasis and reduce T cell tolerance. Therefore, inhibition of immune checkpoint can lead to the activation of autoreactive T cells, resulting in various irAEs similar to autoimmune diseases. Gastrointestinal toxicity, endocrine toxicity, and dermatologic toxicity are common side effects. Neurotoxicity, cardiotoxicity, and pulmonary toxicity are relatively rare but can be fatal. ICI related gastrointestinal toxicity, dermatologic toxicity, and hypophysitis are more common with anti CTLA 4 agents. ICI related pulmonary toxicity, thyroid dysfunction, and myasthenia gravis are more common with PD 1/PD L1 inhibitors. Treatment with systemic steroids is the principal strategy against irAEs. The use of immune modulatory agents should be considered in case of no response to the steroid therapy. Treatment under the supervision of multidisciplinary specialists is also essential, because the symptoms and treatments of irAEs could involve many organs. Thus, this review focuses on the mechanism, clinical presentation, incidence, and treatment of various irAEs.
Remote Patient Monitoring Program for Hospital Discharged COVID 19 Patients
Venue: Appl. Clin. Inform.
Year: 2020

We deployed a Remote Patient Monitoring (RPM) program to monitor patients with coronavirus disease 2019 (COVID 19) upon hospital discharge. We describe the patient characteristics, program characteristics, and clinical outcomes of patients in our RPM program.  We enrolled COVID 19 patients being discharged home from the hospital. Enrolled patients had an app, and were provided with a pulse oximeter and thermometer. Patients self reported symptoms, O2 saturation, and temperature daily. Abnormal symptoms or vital signs were flagged and assessed by a pool of nurses. Descriptive statistics were used to describe patient and program characteristics. A mixed effects logistic regression model was used to determine the odds of a combined endpoint of emergency department (ED) or hospital readmission.  A total of 295 patients were referred for RPM from five participating hospitals, and 225 patients were enrolled. A majority of enrolled patients (66% completed the monitoring period without triggering an abnormal alert. Enrollment was associated with a decreased odds of ED or hospital readmission (adjusted odds ratio: 0.54; 95% confidence interval: 0.3 0.97; p 0.039) Referral without enrollment was not associated with a reduced odds of ED or hospital readmission.  RPM for COVID 19 provides a mechanism to monitor patients in their home environment and reduce hospital utilization. Our work suggests that RPM reduces readmissions for patients with COVID 19 and provides scalable remote monitoring capabilities upon hospital discharge. RPM for postdischarge patients with COVID 19 was associated with a decreased risk of readmission to the ED or hospital, and provided a scalable mechanism to monitor patients in their home environment.
The Overview of Imam Abu Hanifa Opinion Against Hybrid Contract Practices of Umrah Financing Products in BSM KCP Kopo
Year: 2016

BSM KCP Kopo indicated practice hybrid contract on financing Umrah product. The Umrah financing products using Qardh scheme for granting loans to customers and Ijarah for administrative management services to the customer's departure Umrah travel agencies that will be enjoyed by customers. Use of both the contract causes confusion could trigger polemics related halal Umrah financing the illegitimate product. Accordingly, they were assessed from the perspective of Imam Abu Hanifa since he was one of the great scholars who contributed much to the results of ijtihad in the field of jurisprudence muamalah. Formulation and research objectives are as follows. (1) How does the hybrid contract according to the provisions of Imam Abu Hanifa? (2) How is the practice of the hybrid contract in the contract of Ijarah products in BSM KCP Umrah Financing Kopo? (3) How does a review of the practice of Imam Abu Hanifa hybrid contract on financing products umrah in BSM KCP Kopo? The method used in the preparation of this research is to use descriptive analytical method with a character study approach. Data obtained from primary and secondary sources. Data collected through the study of literature, documentation studies, surveys, and interviews. The conclusion of this study is the implementation of the Ijara contract with the object of services and goods combined with other contract according to Imam Abu Hanifa is basically permissible, as long as the consequences of a transaction that was built with the hybrid contract is not separated according to each contract that builds the transaction. Practice hybrid contract in the contract of Ijarah product of Umrah Financing in BSM KCP Kopo is done concurrently Ijarah and qardh. Moreover, based on the results of the study showed that in general the practice of Hybrid Contract in financing Umrah in BSM KCP Kopo not contrary to the values of Sharia and are in accordance with the provisions of the hybrid contract according to Imam Abu Hanifah.
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI
Venue: Briefings Bioinform.
Year: 2018

Bacterial effector proteins secreted by various protein secretion systems play crucial roles in host pathogen interactions. In this context, computational tools capable of accurately predicting effector proteins of the various types of bacterial secretion systems are highly desirable. Existing computational approaches use different machine learning (ML) techniques and heterogeneous features derived from protein sequences and/or structural information. These predictors differ not only in terms of the used ML methods but also with respect to the used curated data sets, the features selection and their prediction performance. Here, we provide a comprehensive survey and benchmarking of currently available tools for the prediction of effector proteins of bacterial types III, IV and VI secretion systems (T3SS, T4SS and T6SS, respectively) We review core algorithms, feature selection techniques, tool availability and applicability and evaluate the prediction performance based on carefully curated independent test data sets. In an effort to improve predictive performance, we constructed three ensemble models based on ML algorithms by integrating the output of all individual predictors reviewed. Our benchmarks demonstrate that these ensemble models outperform all the reviewed tools for the prediction of effector proteins of T3SS and T4SS. The webserver of the proposed ensemble methods for T3SS and T4SS effector protein prediction is freely available at http:/tbooster.erc.monash.edu/index.jsp. We anticipate that this survey will serve as a useful guide for interested users and that the new ensemble predictors will stimulate research into host pathogen relationships and inspiration for the development of new bioinformatics tools for predicting effector proteins of T3SS, T4SS and T6SS.
Emotion recognition from spatiotemporal EEG representations with hybrid convolutional recurrent neural networks via wearable multi channel headset
Venue: Comput. Commun.
Year: 2020

Emotion recognition from electroencephalography (EEG) has been an important research direction in affective brain computer interactions (ABCI) An integration of EEG based emotion recognition algorithms in ABCI can make the users experience more complete and engaging. In this paper, we propose a new data representation of electroencephalogram (EEG) which transforms 1D chain like EEG vector sequences into 2D mesh like matrix sequences. The mesh structure of the matrix at each time point corresponds to the electrodes' location of EEG headset, which could better represent the spatial correlation of EEG signals among multiple physically adjacent electrodes. Then, the sliding window is used to divide the 2D matrix sequences into segments containing equal time points, and each segment is seen as an EEG sample integrating the temporal and spatial correlation of raw EEG recordings. We also propose both cascaded and parallel hybrid convolution recurrent neural networks to accurately predict the emotional category of each EEG sample. Extensive binary emotion classification experiments in valence and arousal are carried out on a large scale DEAP dataset (32 subjects, 9,830,400 EEG recordings) The experimental results demonstrate that the classification accuracies of both proposed hybrid networks on our spatial temporal EEG representation achieve over 93% which outperform the most recent baseline methods and other deep learning models in within subject validation scenario. Our proposed methods and hybrid models effectively improve the accuracy and robustness of EEG emotion classification, which can be applied to develop affective BCI applications using consumer multi electrode EEG headset.
Correlating human traits and cyber security behavior intentions
Venue: Comput. Secur.
Year: 2018

In this paper, we correlate human characteristics with cyber security behavior intentions. While previous papers have identified correlations between certain human traits and specific cyber security behavior intentions, we present a comprehensive study that examines how risk taking preferences, decision making styles, demographics, and personality traits influence the security behavior intentions of device securement, password generation, proactive awareness, and updating. To validate and expand the work of Egelman and Peer, we conducted a survey of 369 students, faculty, and staff at a large public university and found that individual differences accounted for 5% 23% of the variance in cyber security behavior intentions. Characteristics such as financial risk taking, rational decision making, extraversion, and gender were found to be significant unique predictors of good security behaviors. Our study revealed both validations and contradictions of related work in addition to finding previously unreported correlations. We motivate the importance of studies such as ours by demonstrating how the influence of individual differences on security behavior intentions can be environment specific. Thus, some security decisions should also depend on the environment.
Teaching Online Physical Education: The Art of Connection in the Digital Classroom
Year: 2020

COVID 19 has changed the face of education. Even before the pandemic, the increasing prevalence of online programs and institutions in higher education has challenged the perception of the traditional model. Before the mandatory shift to virtual rather than face to face instruction, many argued online programs were inadequate compared to their "brick and mortar" counterparts. The current pandemic has forced not only K 12 schools but also those in higher education to take another look at how to deliver quality and equitable education. This article is going to outline and explain seven key online best practice teaching strategies for novice and/or veteran instructors.
A variant with a time varying PID controller of particle swarm optimizers
Venue: Inf. Sci.
Year: 2015

This paper presents a novel variant of particle swarm optimizers (PSOs) that we call the proportional integral derivative (PID) controller inspired particle swarm optimizer (PidSO) which uses a novel evolutionary strategy whereby a specified PID controller is used to improve particles' local and global best positions information. This strategy enables PidSO to improve the diversity of swarm in a bid to discourage premature convergence and to perform a global search over the entire search space more efficiently. Empirical experiments were conducted on both analytically unimodal and multimodal test functions. The experimental results demonstrate that PidSO enhances the diversity of the swarm and features better search effectiveness and efficiency in solving most multimodal optimization problems when compared with other recent variants of PSOs and evolutionary optimization algorithms such as integral controlled PSO (ICPSO) PID controlled PSO (PIDCPSO) comprehensive learning PSO (CLPSO) I population covariance matrix adaptation evolution strategy (IPOP CMA ES) and a multi algorithm genetically adaptive method for single objective optimization (AMALGAM SO) and so on. Additionally, it has been observed that PidSO is able to achieve comparatively better success rates and success performances though it is more complex, and that the performance of PidSO is promoted by selecting proper law based controllers. Consequently, PidSO offers a new solution to real engineering optimization designs of industrial systems.
New online method for removing ocular artefacts from EEG signals
Venue: Medical and Biological Engineering and Computing
Year: 2006

A method for online removal of ocular artefacts from the human electroencephalogram (EEG) is described. It uses numerically stable algorithms based on the efficient recursive least squares algorithm. The method is shown to give similar results to its offline equivalents from which it has been developed. Compared with the present online methods our approach is superior, requiring no subjective manual adjustment and processing all signals digitally. An automatic online microcomputer based ocular artefact remover has been built and successfully tested.