nils-herrmann/clean_scirepeval huggingface dataset:
Security Analysis of a Lightweight Identity Based Two Party Authenticated Key Agreement Protocol for IIoT Environments
Venue: Secur. Commun. Networks
Year: 2021

Internet of )ings brings convenience to the social life, at the same time, putting forward higher requirements for the security of data transmission and storage. Security incidents based on industrial Internet of )ings have occurred frequently recently, which should be given full consideration. )e identity based authenticated key agreement protocol can solve these security threats to a certain extent. Recently, a lightweight identity based authenticated key agreement protocol for Industrial Internet of)ings, called ID 2PAKA protocol, was claimed to achieve secure authentication and meet security properties. In this paper, we show that the ID 2PAKA protocol is insecure in identity authentication and cannot resisting ephemeral key compromise impersonation attack.
Uji Aktivitas Antelmintik Ekstrak Etanol Kulit Buah Petai (Parkia speciosa Hassk. Terhadap Cacing Gelang Babi (Ascaris suum Goeze. Secara In Vitro
Year: 2019

Worm infection is one of the infections that are generally spread in the world, especially in developing countries, one of which is Indonesia. As an agricultural country rich in natural resources, Indonesia has a variety of plants that have great potential to be utilized, including petai plants Parkia speciosa Hassk. which are widely grown and spread. This study aims to determine the content of secondary metabolites and determine the effective concentration of petai bark extract so that it has activity as an anthelmintic against adult pork roundworms and eggs in vitro. Tests were divided into 3 major groups, the test group (concentration of test extract 3% 5% and 7% the comparison group (pirantel pamoat and piperazin citrate for test towards adult worms and albendazole for test towards worm eggs) and the control group (NaCl 0.9% and CMC Na) The parameters seen were the form of paralysis and death of adult worms, and the percentage of inhibition of worm eggs. The results of the study were anthelmintic activity which was shown by petai peel extract against pork roundworms and their eggs at a concentration of 7% compared to the test concentrations of 3% and 5% pirantel pamoat, piperazin citrate and albendazole. The conclusion of this study is that the petai fruit extract has anthelmintic activity against pork roundworms and their eggs.  Anthelmintics Ascaris suum Parkia speciosa Abstrak. Infeksi cacing merupakan salah satu infeksi yang umumnya tersebar di dunia, terutama di negara berkembang salah satunya Indonesia. Sebagai salah satu negara agraris yang kaya akan sumber daya alam, Indonesia memiliki beragam tumbuhan yang berpotensi besar untuk dimanfaatkan, termasuk tanaman petai Parkia speciosa Hassk. yang banyak tumbuh dan tersebar. Penelitian ini bertujuan untuk mengetahui kandungan metabolit sekunder dan menetapkan konsentrasi efektif dari ekstrak kulit buah petai sehingga memiliki aktivitas sebagai antelmintik terhadap cacing gelang babi dewasa dan telur secara in vitro. Pengujian dibagi dalam 3 kelompok besar, yaitu kelompok uji (konsentrasi ekstrak uji 3% 5% dan 7% kelompok pembanding (pirantel pamoat dan piperazin sitrat untuk pengujian terhadap cacing dewasa dan albendazol untuk pengujian telur cacing) dan kelompok control (NaCl 0,9% dan CMC Na) Parameter yang dilihat berupa bentuk paralisis dan kematian cacing dewasa, serta persen inhibisi terhadap telur cacing. Hasil penelitian berupa aktivitas antelmintik yang ditunjukan ekstrak kulit buah petai terhadap cacing gelang babi dan telurnya terdapat pada konsentrasi 7% yang dibandingkan dengan konsentrasi uji 3% dan 5% pirantel pamoat, piperazin sitrat dan albendazol. Kesimpulan dari penelitian ini adalah ekstrak kulit buah petai memiliki aktivitas antelmintik terhadap cacing gelang babi dan telurnya.  Antelmintik, Ascaris suum Parkia speciosa
Convolutional neural networks for small footprint keyword spotting
Venue: INTERSPEECH
Year: 2015

We explore using Convolutional Neural Networks (CNNs) for a small footprint keyword spotting (KWS) task. CNNs are attractive for KWS since they have been shown to outperform DNNs with far fewer parameters. We consider two different applications in our work, one where we limit the number of multiplications of the KWS system, and another where we limit the number of parameters. We present new CNN architectures to address the constraints of each applications. We find that the CNN architectures offer between a 27 44% relative improvement in false reject rate compared to a DNN, while fitting into the constraints of each application.
Klientenzentrierte Angebote ins Leben rufen Ergotherapie in der psychiatrischen Tagesstatte
Venue: ergopraxis
Year: 2019

Inhalte wie Hirnleistungstrainings am Computer sind in der Ergotherapie noch sehr verbreitet. Auch in der psychiatrischen Tagesstatte, in der Christina Mullenmeister arbeitete, war dies gang und gabe. Sie erzahlt, wie sie es geschafft hat, ein Therapieangebot in Form einer Medienwerkstatt zu etablieren, das sich an den Interessen der Klienten orientiert.
Impact of electrode configurations on retention time and domestic wastewater treatment efficiency using microbial fuel cells.
Venue: Water research
Year: 2015

Efficient treatment of domestic wastewater under continuous flow conditions using microbial fuel cells (MFCs) requires hydraulic retention times (HRTs) that are similar to or less than those of conventional methods such as activated sludge. Two MFCs in series were compared at theoretical HRTs of 8.8, 4.4 and 2.2 h using two different brush electrode MFC configurations: a full brush evenly spaced between two cathodes (S2C) and trimmed brush anodes near a single cathode (N1C) The MFCs with two cathodes produced more power than the MFCs with a single cathode, with 1.72 mW for the S2C, compared to and 1.12 mW for the N1C at a set HRT 4.4 h. The single cathode MFCs with less cathode area removed slightly more COD (54.2 2.3% N1C) than the two cathode MFCs (48.3 1.0% S2C) However, the higher COD removal was due to the longer HRTs measured for the MFCs with the N1C configuration (10.7, 5.3 and 3.1 h) than with the S2C configuration (7.2, 3.7 and 2.2 h) despite the same theoretical HRT. The longer HRTs of the N1C MFCs also resulted in slightly higher coulombic efficiencies =37% than those of the S2C MFCs =29% While the S2C MFC configuration would be more advantageous based on electrical power production, the N1C MFC might be more useful on the basis of capital costs relative to COD removal efficiency due to the use of less cathode surface area per volume of reactor.
Recent advances in semiconductor nanowires infrared photodetectors (Invited)
Year: 2021

In recent years, infrared photodetectors have attracted increasing interest due to their promising applications in both military and civil areas. To further realize room temperature, wide spectrum, high sensitivity, fast response and low power consumption infrared photodetectors, low dimension semiconductors are considered as potential channel materials and have been studied widely. Among them, nanowires have special electrical and photoelectrical characteristics, showing enormous advantages in the applications of infrared photodetectors such as small size, low power consumption, high light absorption efficiency, abundant surface states, outstanding ability to separate and collect photoelectrons, good compatibility with Si complementary metal oxide semiconductor (CMOS) technology and so on. At present, nanowires infrared photodetectors are going through continuous progress and breakthrough. In this review, recent advances in semiconductor nanowires infrared photodetectors were outlined in details. At the beginning, the basic characteristics, material choice and preparation methods of nanowires were introduced. Subsequently, many nanowires including binary and ternary compound semiconductors for the use of infrared detection were presented and their current detectable levels were illustrated precisely. Many methods of further improving their detecting performances were also classified and summarized, including constructing heterostructures, applying external field and integrating with other functional devices. On the basis of the above mentioned advances, a comparison of advantages and disadvantages among different nanowires infrared detectors was given. In the end, the future development trend was indicated based on the challenges in this area and preliminary suggestions for the technical development route were presented.
Biodiversity status of Tulipa (Liliaceae) in Iran inferred from molecular characterization
Venue: Horticulture, Environment, and Biotechnology
Year: 2020

Here, we used data generated from amplified fragment length polymorphism (AFLP) analysis to address the biodiversity status and taxonomic relationships among 47 wild accessions representing 9 species of the genus Tulipa in Iran. A high level of genetic diversity within the genus was observed; the most distant taxa were T. humilis and T. schrenkii, while the highest degree of similarity was found between T. montana and T. biflora. Twelve AFLP primer sets amplified 342 fragments, of which 304 were polymorphic (88.1% The average number of polymorphic bands per AFLP primer pair was 28.5. A hierarchical cluster analysis was carried out on the genetic profile of the taxa, and the results mostly reconfirmed the recognized taxonomy of the genus. However, we found evidence for recognition of a new subgenus for T. biebersteiniana.
Investigation on potential utilization of native and modified starches containing resistant starch as a fat replacer in bakery products
Year: 2017

In this study, different commercial starches (Hylon VII, CrystaLean, Hi Flo, and Emjel) containing different levels of resistant starch (RS) were used as fat replacers in cake and cookie production. The solubility, water binding, swelling, and RS content values of starches varied between 1.0 9.2% 133 305% 3.7 23.9 g/g, and 2.6 46.0% respectively. The amount of fat in rgw formulations was reduced to 25 and 50% and replaced by equal amounts of starch/water (S/W) (1/1 or 1/3) suspensions. The hardness of the cookie dough and cake batter increased with the addition of Emjel. Cookies with 25% Hylon VII had a higher spread ratio than the low fat control. The S/W ratio did not affect the spread ratio. The cookie hardness increased by reducing the fat content. Cookies with Hylon VII, Hi Flo, and CrystaLean (50% had a lower hardness compared to the low fat control. Low fat cakes with added starches had higher volume indexes than their low fat controls. The hardness of the 25% Hylon VII supplemented cakes was similar to (1/1) or better (1/3) than that of control. The starches did not have a substantial deteriorative effect on the color of products because of their natural white color. The cookies and cakes with starches had higher taste scores than the low fat control samples. The cookies with Hylon VII and CrystaLean had similar crispness with full fat control.
'Who's actually gonna read this? An evaluation of staff experiences of the value of information contained in written care plans in supporting care in three different dementia care settings.
Venue: Journal of psychiatric and mental health nursing
Year: 2017

A written plan is designed to improve communication and co ordinate care between mental health inpatient wards and community settings. Reports of care plan quality issues and staff and service user dissatisfaction with healthcare bureaucracy have focused on working age mental health or general hospital settings. Little is known about mental health staff perspectives on the value of written care plans in supporting dementia care.  THIS PAPER ADDS TO EXISTING KNOWLEDGE? Competing demands on staff time and resources to meet administrative standards for care plans caused a tension with their own professional priorities for supporting care. Mental health staff face difficulties using electronic records alongside other systems of information sharing. Further exploration is needed of the gap between frontline staff values and those of the local organization and managers when supporting good dementia care.  Frontline staff should be involved in designing new information systems including care plans. Care plan documentation needs to be refocused to ensure it is effective in enabling staff to communicate amongst themselves and with others to support people with dementia. Practice based mentors could be deployed to strengthen good practice in effective information sharing.  Reports of increased healthcare bureaucracy and concerns over care plan quality have emerged from research and surveys into staff and service user experiences. Little is known of mental health staff perspectives on the value of written care plans in supporting dementia care.  To investigate the experiences and views of staff in relation to care planning in dementia services in one National Health Service (NHS) provider Trust in England.  Grounded Theory methodology was used. A purposive sample of 11 multidisciplinary staff were interviewed across three sites in one NHS Trust. Interviews were transcribed, coded and analysed using the constant comparative method.  Five themes were identified and are explored in detail below: (1) Repetition; (2) the impact of electronic records on practice; (3) ambivalence about the value of paperwork; (4) time conflicts; and (5) alternative sources of information to plan care.  Participants perceived that written care plans did not help staff with good practice in planning care or to support dementia care generally. Staff were frustrated by repetitive documentation, inflexible electronic records and conflicting demands on their time. Implications for practice Frontline staff should be involved in designing new information systems including care plans.
PROSES DIFUSI INOVASI DAN KEPUTUSAN INOVASI SISTEM INFORMASI DESA: STUDI KASUS DI KABUPATEN LOMBOK TIMUR
Year: 2019

To realize the vision of the Village Law to make the village strong, independent, prosperous and democratic, the existence of a Village Information System (SID) becomes very important that the SID is specifically regulated in the Village Law. In 2017, the implementation of SID in East Lombok Regency has only been introduced in the Sub Districts of Terara and Aikmel. The objectives of this study are: (1) to analyze the SID diffusion process and innovation decisions, and (2) identify good practices for SID management learning. This research was conducted in 10 villages that carried out the SID program in East Lombok Regency. This study was designed as a qualitative descriptive study. Data collection through observation, FGD and in depth interviews. The data analysis technique used is an interactive analysis model. The results of the study include: (1) Diffusion of innovations and SID innovation decisions takes place relatively quickly. The characteristic of the SID as needed, are more favorable, and support rediscovery. Communication channels use channels of mass communication, group communication, and interpersonal communication, where communication uses social media. The diffusion process occurs relatively quickly because of the existence of SID learning groups as a supportive social system; 2) Good practice for learning from SID management is the growth of initiatives from below to develop SID, the existence of SID forums and SID learning groups, and ongoing efforts to support the improvement of basic services (education, health, and population administration) Keywords: innovation decision, learning, diffusion process, Village Information System
Four faces of cellular senescence
Venue: The Journal of cell biology
Year: 2011

Cellular senescence is an important mechanism for preventing the proliferation of potential cancer cells. Recently, however, it has become apparent that this process entails more than a simple cessation of cell growth. In addition to suppressing tumorigenesis, cellular senescence might also promote tissue repair and fuel inflammation associated with aging and cancer progression. Thus, cellular senescence might participate in four complex biological processes (tumor suppression, tumor promotion, aging, and tissue repair) some of which have apparently opposing effects. The challenge now is to understand the senescence response well enough to harness its benefits while suppressing its drawbacks.
Semi Supervised Attention Guided CycleGAN for Data Augmentation on Medical Images
Venue: 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2019

Recently, deep learning methods, in particular, convolutional neural networks (CNNs) have made a massive breakthrough in computer vision. And a big amount of annotated data is the essential cornerstone to reach this success. However, in the medical domain, it is usually difficult (and sometimes even impossible) to get sufficient data for some specific learning tasks. Consequently, in this work, a novel data augmentation solution, called semi supervised attention guided CycleGAN (SSA CycleGAN) is proposed to resolve this problem. Specifically, a cycle consistency GANs based model is first proposed to generate synthetic tumor (resp. normal) images from normal (resp. tumor) images. Then, a semi supervised attention module is further proposed to enhance the model's capability in learning the important details of the training images, which in turns help the generated synthetic images become more realistic. To verify its effectiveness, experimental studies are conducted on three medical image datasets with limited amounts of MRI images, and the proposed SSA CycleGAN is applied to generate synthetic tumor and normal MRI images for data augmentation. Experimental results show that i) SSA CycleGAN can add (resp. remove) tumor lesions on (resp. from) the original normal (resp. tumor) images and generate very realistic synthetic tumor (resp. normal) images; and ii) in the ResNet18 based MRI image classification tasks based on these datasets, data augmentation using SSA CycleGAN achieves much better classification performances than the classic data augmentation methods.
Diagnosing arrhythmogenic right ventricular cardiomyopathy by 2010 Task Force Criteria: clinical performance and simplified practical implementation
Venue: Europace European pacing, arrhythmias, and cardiac electrophysiology journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
Year: 2020

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is diagnosed by a complex set of clinical tests as per 2010 Task Force Criteria (TFC) Avoiding misdiagnosis is crucial to prevent sudden cardiac death as well as unnecessary implantable cardioverter defibrillator implantations. This study aims to validate the overall performance of the TFC in a real world cohort of patients referred for ARVC evaluation.  We included patients consecutively referred to our centres for ARVC evaluation. Patients were diagnosed by consensus of three independent clinical experts. Using this as a reference standard, diagnostic performance was measured for each individual criterion as well as the overall TFC classification. Of 407 evaluated patients (age 38 17 years, 51% male) the expert panel diagnosed 66 (16% with ARVC. The clinically observed TFC was false negative in 7/66 (11% patients and false positive in 10/69 (14% patients. Idiopathic outflow tract ventricular tachycardia was the most common alternative diagnosis. While the TFC performed well overall (sensitivity and specificity 92% signal averaged electrocardiogram (SAECG, P 0.43) and several family history criteria (P 0.17) failed to discriminate. Eliminating these criteria reduced false positives without increasing false negatives (net reclassification improvement 4.3% P 0.019) Furthermore, all ARVC patients met at least one electrocardiogram (ECG) or arrhythmia criterion (sensitivity 100%  The TFC perform well but are complex and can lead to misdiagnosis. Simplification by eliminating SAECG and several family history criteria improves diagnostic accuracy. Arrhythmogenic right ventricular cardiomyopathy can be ruled out using ECG and arrhythmia criteria alone, hence these tests may serve as a first line screening strategy among at risk individuals.
Evolution of post mortem coronary imaging: from selective coronary arteriography to post mortem CT angiography and beyond
Venue: La radiologia medica
Year: 2018

Since the 1970s, remarkable efforts have been made in the post mortem coronary study, especially by angiography, as an added tool to diagnose heart related deaths. In more recent times, post mortem CT (PMCT) and post mortem CT angiography (PMCTA) have become an established practice in numerous forensic units, because of the undeniable advantages these diagnostic instruments can offer: data acquisition times are increasingly fast, costs have become lower and, once acquired, data can be re utilized and re evaluated at any given time. This review aims to chart the history of post mortem cardiac imaging, highlighting its evolution both in terms of methodology and technology as well as the contribution that forensic radiology has been able to offer to forensic pathology, not as an alternative to autopsy but as a guide and aid when performing one. Finally, the latest advances in the study of cardiac deaths are explored, namely by cardiac post mortem MRI (PMMR) able to visualize all the various stages of a myocardial infarction, post mortem MRI angiography (PMMRA) useful in investigating coronary artery pathology and post mortem cardiac micro CT, able to provide near histological levels of myocardial, coronary and valvular detail.
Unsupervised Mechanical Fault Feature Learning Based on Consistency Inference Constrained Sparse Filtering
Venue: IEEE Access
Year: 2020

In machinery fault diagnosis, a large amount of monitoring data is often unlabeled, while the number of labeled data is limited. Therefore, learning effective features from massive unlabeled data is a challenging issue for machinery fault diagnosis. In this paper, a simple unsupervised feature learning method, consistency inference constrained sparse filtering (CICSF) is proposed to learn mechanical fault features with enhanced clustering performance for fault diagnosis. Firstly, inspired by the data augmentation strategy, consistency inference of latent representations for time series (CILRTS) is derived, which infers that training data instances segmented from the same time series should possess consistent latent feature representations. Then, CILRTS is integrated into sparse filtering (SF) as an additional constraint in the latent feature space. The developed CICSF method can optimize the inter class sparsity and intra class similarity of the feature distribution simultaneously. Thus, it can learn more effective features from massive unlabeled data. Finally, based on CICSF, a semi supervised machinery fault diagnosis method is developed. After unsupervised feature learning by CICSF, a softmax regression classifier is trained with limited labeled data to realize machinery fault diagnosis. Experimental results on bearing and gearbox datasets verify the effectiveness of the proposed method. Moreover, comparisons with standard SF and several auto encoder (AE) variants validate its superiority in unsupervised feature learning and fault diagnosis using limited labeled data.