nils-herrmann/clean_scirepeval huggingface dataset:
RESOLUSI KONFLIK UMAT AGAMA BAHA'I DENGAN MUSLIM: STUDI KASUS DI PATI JAWA TENGAH
Venue: Harmoni
Year: 2019

This research was conducted in 2018 among Baha'i community in Cebolek Kidul, Margoyoso, Pati, Central Java. The purpose of this study is to describe conflict resolution between Baha'i community and their Muslim neighbors. Data were gathered through interview, documentation, observation and focus group discussion. There are 9 (nine) families of Baha'i consisting of 27 people. In their village, some Muslims were accused Baha'i people as deviants. Thus Baha'i people were not allowed to be buried in the same cemetery as Muslims, in some cases Baha'i people also do not receive the same service in administrative matters from the village officers as their Muslims fellows such as do not receive religious education at formal school, do not have marriage certificate since their marriage is not acknowledged by the government. After the Reformation, Baha'i people struggle to gain public attentions in several ways: 1) distributing information on Baha'i through public meetings; 2) initiating non formal religious class for Baha'i people and people of other religions; 3) inviting neighbors and friends during Baha'i religious celebration.
Comparing the effects of goal types in a walking session with healthy adults: Preliminary evidence for open goals in physical activity
Year: 2020

Goal setting is one of the most common strategies used to increase physical activity. Current practice is often based on specific, measurable, achievable, realistic, and time bound (SMART) goals. However, theory and research suggests that this approach may be problematic. Open goals (e.g. "see how well you can do" have emerged as a possible alternative, but are yet to be tested experimentally in physically active tasks. In a walking based session, this study aimed to experimentally compare the effects of open, SMART and do your best goals with a control condition on distance walked and psychological variables related to engagement.  Repeated measures design (mixed model) Method Participants (N 78; Mage 55.88) were randomly assigned to one of four goal conditions: an open, SMART, or do your best goal, or a control condition "walk at your normal pace" before completing a baseline and two manipulated attempts of a 6 min walking test.  Open, SMART, and do your best goals achieved greater distance walked, and higher ratings of perceived exertion, than the control across both experimental attempts. Open and SMART goals led to greater enjoyment of the session. However, SMART goals led to higher pressure/tension, while open goals led to higher perceptions of performance and higher interest in repeating the session.  These findings provide preliminary evidence for the efficacy of setting open goals in physical activity, and suggest that they may be more psychologically adaptive to pursue than SMART or do your best goals. Implications are discussed, and recommendations are made for future goal setting research in physical activity.
Influence of MWCNTs/Li doped TiO2 nanoparticles on the structural, thermal, electrical and mechanical properties of poly (ethylene oxide)/poly (methylmethacrylate) composite
Year: 2020

Li doped TiO2 nanoparticles were synthesized via a sol gel process from MWCNTs, titanium isopropoxide (Ti (OPr)4, and LiCl4. The XRD analysis confirmed the formation of MWCNTs/Li doped TiO2 NPs. The EDX spectroscopy spectrum indicated the existence of carbon, oxygen, and titanium signals as the components of the synthetic composite. TEM shows of the MWCNTs/Li doped TiO2 NPs like a cube, tetragonal and hexagonal shapes with an average particle size 5 35 nm. The polymer nanocomposite samples based on PEO and PMMA with MWCNTs/Li doped TiO2 as the dopant at variation contents have been prepared via casting method. The optical, structural, mechanical and electrical properties of the prepared samples were achieved via different techniques. From the XRD results, reveal the amorphous nature of PEO/MMA decrease with MWCNTs/Li doped TiO2 doping. The FT IR confirmed the presence interaction between MWCNTs/Li doped TiO2 and polymer blend. It's observed the optical energy gap values (indirect and direct) for all samples decrease with increase in filler concentration by UV. Vis analysis. The TGA reveals improve in the thermal stability of nanocomposites compared to PMMA/PEO. The conductivity after addition filler to the polymer blend was increased due to the increase in charge carrier mobility according to model of the free volume. The e' and e' increase with increasing of filler content at low frequency only due to polarization effects. The ion hopping mechanism and the conductivity relaxation process have been investigated via utilizing the electrical modulus analysis.
Learning to rank for recommender systems
Venue: RecSys
Year: 2013

Recommender system aim at providing a personalized list of items ranked according to the preferences of the user, as such ranking methods are at the core of many recommendation algorithms. The topic of this tutorial focuses on the cutting edge algorithmic development in the area of recommender systems. This tutorial will provide an in depth picture of the progress of ranking models in the field, summarizing the strengths and weaknesses of existing methods, and discussing open issues that could be promising for future research in the community. A qualitative and quantitative comparison between different models will be provided while we will also highlight recent developments in the areas of Reinforcement Learning.
Cyantraniliprole seed treatment efficiency against Agrotis ipsilon (Lepidoptera: Noctuidae) and residue concentrations in corn plants and soil.
Venue: Pest management science
Year: 2019

The black cutworm Agrotis ipsilon is the most destructive early season insect pest of corn. In this study, the control efficiency of cyantraniliprole seed treatment against A. ipsilon was evaluated, and the residual concentrations of cyantraniliprole and its metabolite J9Z38 in the stalks of corn seedlings and soil were investigated.  Plant pot experiments showed that A. ipsilon larval mortality was greater than 92% and that the percentage of corn seedlings damaged by A. ipsilon was less than 24% when corn seeds were treated with cyantraniliprole at 2 and 4 g AI kg 1 seed. Cyantraniliprole seed treatment at a dosage of 2 g AI kg 1 seed significantly reduced A. ipsilon infestation compared to chlorantraniliprole and clothianidin seed treatments in corn fields. Cyantraniliprole seed treatment resulted in more persistent control efficiency of A. ipsilon in spring than in summer. Cyantraniliprole and J9Z38 residues in corn stalks and soil degraded more slowly in the spring than in the summer.  Cyantraniliprole used as a seed treatment can protect corn plants from A. ipsilon infestations throughout the seedling stage. The high biological activity of cyantraniliprole was consistent with the residue levels of cyantraniliprole in the corn stalks and soil.
An even "newer" animal phylogeny.
Venue: BioEssays news and reviews in molecular, cellular and developmental biology
Year: 2008

Metazoa are one of the great monophyletic groups of organisms. They comprise several major groups of organisms readily recognizable based on their anatomy. These major groups include the Bilateria (animals with bilateral symmetry) Cnidaria (jellyfish, corals and other closely related animals) Porifera (sponges) Ctenophores (comb jellies) and a phylum currently made up of a single species, the Placozoa. Attempts to systematize the relationships of these major groups as well as to determine relationships within the groups have been made for nearly two centuries. Many of the attempts have led to frustration, because of a lack of resolution between and within groups. Other attempts have led to "a new animal phylogeny" Now, a study by Dunn et al. using the expresssed sequence tag (EST) approach to obtaining high throughput large phylogenetic matrices, presents an "even newer" animal phylogeny. There are two major aspects of this study that should be of interest to the general biological community. First, the methods used by the authors to generate their phylogenetic hypotheses call for close examination. Second, the relationships of animal taxa in their resultant trees also prompt further discussion.
Osseointegration and current interpretations of the bone implant interface.
Venue: Acta biomaterialia
Year: 2019

Complex physical and chemical interactions take place in the interface between the implant surface and bone. Various descriptions of the ultrastructural arrangement to various implant design features, ranging from solid and macroporous geometries to surface modifications on the micron submicron and nano levels, have been put forward. Here, the current knowledge regarding structural organisation of the bone implant interface is reviewed with a focus on solid devices, mainly metal (or alloy) intended for permanent anchorage in bone. Certain biomaterials that undergo surface and bulk degradation are also considered. The bone implant interface is a heterogeneous zone consisting of mineralised, partially mineralised, and unmineralised areas. Within the meso micro nano continuum, mineralised collagen fibrils form the structural basis of the bone implant interface, in addition to accumulation of non collagenous macromolecules such as osteopontin, bone sialoprotein, and osteocalcin. In the published literature, as many as eight distinct arrangements of the bone implant interface ultrastructure have been described. The interpretation is influenced by the in vivo model and species specific characteristics, healing time point(s) physico chemical properties of the implant surface, implant geometry, sample preparation route(s) and associated artefacts, analytical technique(s) and their limitations, and non compromised vs compromised local tissue conditions. The understanding of the ultrastructure of the interface under experimental conditions is rapidly evolving due to the introduction of novel techniques for sample preparation and analysis. Nevertheless, the current understanding of the interface zone in humans in relation to clinical implant performance is still hampered by the shortcomings of clinical methods for resolving the finer details of the bone implant interface.  Being a hierarchical material by design, the overall strength of bone is governed by composition and structure. Understanding the structure of the bone implant interface is essential in the development of novel bone repair materials and strategies, and their long term success. Here, the current knowledge regarding the eventual structural organisation of the bone implant interface is reviewed, with a focus on solid devices intended for permanent anchorage in bone, and certain biomaterials that undergo surface and bulk degradation. The bone implant interface is a heterogeneous zone consisting of mineralised, partially mineralised, and unmineralised areas. Within the meso micro nano continuum, mineralised collagen fibrils form the structural basis of the bone implant interface, in addition to accumulation of non collagenous macromolecules such as osteopontin, bone sialoprotein, and osteocalcin.
IntAct: A 96 Core Processor With Six Chiplets 3D Stacked on an Active Interposer With Distributed Interconnects and Integrated Power Management
Venue: IEEE Journal of Solid State Circuits
Year: 2021

In the context of high performance computing, the integration of more computing capabilities with generic cores or dedicated accelerators for artificial intelligence (AI) application is raising more and more challenges. Due to the increasing costs of advanced nodes and the difficulties of shrinking analog and circuit input output signals (IOs) alternative architecture solutions to single die are becoming mainstream. Chiplet based systems using 3D technologies enable modular and scalable architecture and technology partitioning. Nevertheless, there are still limitations due to chiplet integration on passive interposers silicon or organic. In this article we present the first CMOS active interposer, integrating: 1) power management without any external components; 2) distributed interconnects enabling any chiplet to chiplet communication; and3) system infrastructure, design for test, and circuit IOs. The IntAct circuit prototype integrates six chiplets in FDSOI 28 nm technology, which are 3D stacked onto this active interposer in 65 nm process, offering a total of 96 computing cores. Full scalability of the computing system is achieved using an innovative scalable cache coherent memory hierarchy, enabled by distributed network on chips, with 3 Tbit/s/mm2 high bandwidth 3D plug interfaces using 20 \mu \text{m} pitch micro bumps, 0.6 ns/mm low latency asynchronous interconnects, while the six chiplets are locally power supplied with 156 mW/mm2 at 82% peak efficiency dc dc converters through the active interposer. Thermal dissipation is studied showing the feasibility of such approach.
System probabilistic model of rock slope stability considering correlated failure modes
Year: 2017

In this paper, a system reliability analysis of rock slope stability with considering all input parameters as stochastic parameter is presented. To perform reliability analysis a cut set system has been used. For this purpose, Sequential Compounding Method (SCM) as a powerful method for reducing the computational time and accurate evaluation is employed to determine the reliability indices with considering correlations between failure modes which are calculated by defining equivalent linear safety margin for each failure mode. Furthermore, the 3 D system probability of failure surface is presented and the probabilistic model is developed to evaluate the rock slope probability of failure.
Digital twin for supply chain improvements on the example of Infineon technologies AG
Year: 2019

This project has been developed in the semiconductor manufacturing company Infineon Technologies AG, in Neubiberg (Germany) The project is focused on Digital Twins and Semantic Web. Digital Twins are the ultimate solutions for companies to get a more accurate simulation to perform intensely detailed and risk free experiments. Semantic Web uses knowledge graphs to make data understandable for humans and machines. Simulation models combined with Semantic Web can together increase the reusability of the created models. Infineon Technologies AG is currently starting to work for a Digital Twin of its Supply Chain. This project takes place at the early steps of it, where the focus is set on the knowledge connection of simulations through the Semantic Web. Infineon Technologies is also working in the Digital reference, a Semantic Web based solution applied to the semiconductor domainthat already sets the foundation for the project.The project aims to get an understanding ofhow to build simulation models automatically and enabled by ontologies and, more specifically, by the Digital Reference. The development of the project is divided intotwo parts: the first part looks at an overall solution for all domains and the second one focuses on the company where the project has been developed.Firstly, focusing on a solution for any domain on how to define a solution that creates simulation models based on ontologies. The framework is then applied to the specific use case selected in Infineon Technologies AG. The answeris an intermediate engine that creates a model for the simulation software utilizing the user's input as model requirements and retrieving different bits of information from the Digital Reference the model is built by an engine.The project is closed with some recommendations for future steps to make this engine a reality, an economical and environmental analysis of the project, and conclusions.
Empathy and sport performance Empatia e prestazione sportiva
Year: 2019

Lo scopo del presente studio e di chiarire il legame tra empatia e modelli percettivo motori. Tale legame e proposto come modello per arricchire il modello prestazionale sport specifico e di conseguenza per favorire lo sviluppo e la massimizzazione delle prestazioni sportive. Partendo da questa ipotesi, verra dapprima trattato il legame neurofisiologico tra empatia e azione motoria e in una seconda fase verra proposta una revisione critica della letteratura scientifica sull'argomento. The aim of the present study is to to clarify the link between empathy and perceptual motor models in order to improve the sport specific prestational model, hence, the development and maximization of sport performance. In this way, the neurophysiological link between empathy and motor action will be highlighted first and in a second step a critical review of the scientific literature on the topic will be proposed.
Classes of dendritic information processing
Venue: Current Opinion in Neurobiology
Year: 2019

Dendrites are much more than passive neuronal components. Mounting experimental evidence and decades of computational work have decisively shown that dendrites leverage a host of nonlinear biophysical phenomena and actively participate in sophisticated computations, at the level of the single neuron and at the level of the network. However, a coherent view of their processing power is still lacking and dendrites are largely neglected in neural network models. Here, we describe four classes of dendritic information processing and delineate their implications at the algorithmic level. We propose that beyond the well known spatiotemporal filtering of their inputs, dendrites are capable of selecting, routing and multiplexing information. By separating dendritic processing from axonal outputs, neuron networks gain a degree of freedom with implications for perception and learning.
Psychological Impact of COVID 19 and Lockdown among University Students in Malaysia: Implications and Policy Recommendations
Venue: International journal of environmental research and public health
Year: 2020

The COVID 19 pandemic and the lockdown has taken the world by storm. This study examines its impact on the anxiety level of university students in Malaysia during the peak of the crisis and the pertinent characteristics affecting their anxiety. A cross sectional online survey, using Zung's self rating anxiety questionnaire was conducted during the COVID 19 pandemic and lockdown. Out of the 983 respondents, 20.4% 6.6% and 2.8% experienced minimal to moderate, marked to severe, and most extreme levels of anxiety. Female gender (OR 21.456, 95% CI 1.061, 1.998, p 0.020) age below 18 years (OR 4.147, 95% CI 1.331, 12.918, p 0.014) age 19 to 25 (OR 3.398, 95% CI 1.431, 8.066, p 0.006) pre university level of education (OR 2.882, 95% CI 1.212, 6.854, p 0.017) management studies (OR 2.278, 95% CI 1.526, 3.399, p 0.001) and staying alone (OR 2.208, 95% CI 1.127, 4.325, p 0.021) were significantly associated with higher levels of anxiety. The main stressors include financial constraints, remote online teaching and uncertainty about the future with regard to academics and career. Stressors are predominantly financial constraints, remote online learning, and uncertainty related to their academic performance, and future career prospects.
Newcastle Disease Virus: A Promising Vector for Viral Therapy, Immune Therapy, and Gene Therapy of Cancer
Venue: Methods in molecular biology
Year: 2009

This review deals with the avian paramyxovirus Newcastle disease virus (NDV) and describes properties that explain its oncolytic activity, its tumor selective replication behavior, and its immune stimulatory capacity with human cells. The strong interferon response of normal cells upon contact with NDV appears to be the basis for the good tolerability of the virus in cancer patients and for its immune stimulatory properties, whereas the weak interferon response of tumor cells explains the tumor selectivity of replication and oncolysis. Various concepts for the use of this virus for cancer treatment are pointed out and results from clinical studies are summarized. Reverse genetics technology has made it possible recently to clone the genome and to introduce new foreign genes thus generating new recombinant viruses. These can, in the future, be used to transfer new therapeutic genes into tumors and also to immunize against new emerging pathogens. The modular nature of gene transcription, the undetectable rate of recombination, and the lack of a DNA phase in the replication cycle make NDV a suitable candidate for the rational design of a safe and stable vaccine and gene therapy vector.
Developing and implementing a gamification method to improve user engagement: A case study with an m Health application for hypertension monitoring
Venue: Telematics Informatics
Year: 2019

The lack of engagement throughout a patient's treatment is a regular concern among health professionals, who have been adopting technology as a motivational factor. This study presents a gamification proposition that aims to promote engagement in the user's treatment with the use of health related systems. Seven stages compose the method: inspection of system requirements and its functionalities; mapping of the target audience characteristics; identification of interaction flows; gamification analysis applied in similar systems; selection of gamification elements; development; and evaluation. To validate the method, we developed two versions of an m Health application, one with the game elements and one without these elements. In the evaluation stage, 14 patients with hypertension were divided into four groups to verify if the inclusion of game elements would promote greater engagement in health care. Data collection included engagement questionnaire, technology acceptance questionnaire, system logs, and participants' feedback. Results showed gamification favored the engagement, stimulating intrinsic motivation in the participants. Groups assisted by health professionals spent more time with the app and were motivated in maintaining control of their health. In conclusion, gamification proved to be effective for this context, since it did not add complexity to the application and promoted the desired engagement results.
PassBio: Privacy Preserving User Centric Biometric Authentication
Venue: IEEE Transactions on Information Forensics and Security
Year: 2018

The proliferation of online biometric authentication has necessitated security requirements of biometric templates. The existing secure biometric authentication schemes feature a server centric model, where a service provider maintains a biometric database and is fully responsible for the security of the templates. The end users have to fully trust the server in storing, processing, and managing their private templates. As a result, the end users' templates could be compromised by outside attackers or even the service provider itself. In this paper, we propose a user centric biometric authentication scheme (PassBio) that enables end users to encrypt their own templates with our proposed light weighted encryption scheme. During authentication, all the templates remain encrypted such that the server will never see them directly. However, the server is able to determine whether the distance of two encrypted templates is within a pre defined threshold. Our security analysis shows that no critical information of the templates can be revealed under both passive and active attacks. PassBio follows a "compute then compare" computational model over encrypted data. More specifically, our proposed threshold predicate encryption (TPE) scheme can encrypt two vectors x and y in such a manner that the inner product of x and y can be evaluated and compared to a pre defined threshold. TPE guarantees that only the comparison result is revealed and no key information about x and y can be learned. Furthermore, we show that TPE can be utilized as a flexible building block to evaluate different distance metrics, such as Hamming distance and Euclidean distance over encrypted data. Such a compute then compare computational model, enabled by TPE, can be widely applied in many interesting applications, such as searching over encrypted data while ensuring data security and privacy.