nils-herrmann/clean_scirepeval huggingface dataset:
Smart Nanohybrids of RAFT Polymers and Inorganic Particles
Year: 2015

Within the work presented here, the special features of reversible addition fragmentation chain transfer (RAFT) polymerization were exploited to explore pathways for the production of novel nanohybrids composed of polymers and inorganic particles. Surface confined radical polymerizations were carried out employing RAFT agents tethered to silica surfaces via methoxysilyl moieties located at the end of their stabilizing Z groups. The RAFT agents were adaptively designed to meet the special demands imposed by different types of silica substrates. A doubly anchored RAFT agent led to polymer loops on the surface of fumed silica through a polymerization mechanism in which the propagating radicals as well as the mediating groups remain attached to the surface. By the use of a RAFT agent with an anchor group only capable of forming a single covalent bond (rather than three as for the first RAFT agent) the crosslinking of colloidally dispersed carrier particles of silica 50nm) during the immobilization process could successfully be prevented. Poly(N isopropylacrylamide) (pNIPAm) samples with distinct molar masses were prepared in the presence of a trithiocarbonate RAFT agent. By analyzing aqueous solutions of these multiresponsive polymers in an optical autoclave cell up to pressures of 3 000bar and down to temperatures of 20 degC, a completely new aspect of their phase behavior was found. It was demonstrated that the addition of several organic cononsolvents in low concentrations leads to an increasing solubility of the polymer in the low temperature/high pressure region, while, on the contrary, the solvents reduce the solubility of the polymer and therefore its cloud temperature at atmospheric pressure. It was found that the phase separation behavior is gradually and completely inverted, regarding both its pressureand temperature dependence, when the mole fraction of added ethanol is increased over the whole cononsolvency range. As a special case, at a mole fraction of x 0.23, the system clears up independent of temperature at a constant pressure of about 1 000 bar. In terms of solvent solvent or solvent polymer interactions, these findings support the assumption of substantially different cloudingmechanisms for the high temperature and the low temperature regions. The pNIPAm samples were grafted to gold nanoparticles (AuNPs, 14 nm) obtained from the reduction of gold ions with sodium citrate. In a survey of different liquid chemical AuNP synthesis methods, these particles had been found
The Mental Health Literacy Scale (MHLS) A new scale based measure of mental health literacy
Venue: Psychiatry Research
Year: 2015

Although Mental Health Literacy (MHL) has been a topic of substantial interest, measurement of this concept using a scale based measure has been limited, including a lack of psychometric and methodologically robust scale based measures of MHL. This study developed a new scale based measure of MHL, the Mental Health Literacy Scale (MHLS) which assesses all attributes of MHL. Construction of the MHLS was done over three key stages, including measure development, pilot testing and assessment of psychometrics and methodological quality. The resulting measure is a 35 item, univariate scale that is easily administered and scored. Results showed significant differences in scores between mental health professionals and a community sample, as well as individuals with greater experience with mental health, and a significant positive relationship with help seeking intentions. The MHLS also demonstrated good internal and test retest reliability. Evaluation of the methodological quality of the MHLS indicated that it has substantial methodological advantages in comparison to existing scale based measures of MHL. The MHLS can be used in assessing individual and population level differences in MHL and in determining the impact of programmes designed to improve MHL.
Hambatan Komunikasi Interpersonal pada Physical Distancing di Situasi Pandemi Covid 19
Year: 2020

Pandemi Covid 19, yang sedang berlangsung sejak akhir tahun 2019 hingga saat ini telah menyebabkan hampir di seluruh bagian negara yang ada di dunia terinfeksi. Pandemi ini mempengaruhi semua sektor kehidupan seperti ekonomi, sosial, budaya, pendidikan, agama dan lain lain. Salah satu pencegahan penyebaran pandemi tersebut dengan menerapkan physical distancing (pembatasan jarak fisik) secara besar besaran yang mengakibatkan anjuran pengurangan interaksi langsung manusia dengan manusia lainnya secara fisik. Hal tersebut membuat proses komunikasi antar individu yang biasa dilakukan langsung dengan bertemu fisik (direct communication) dan tatap muka menjadi tidak langsung dengan tidak bertemu secara fisik (indirect communication) Sehingga, penggunaan media sebagai alat bantu komunikasi menjadikan proses komunikasi memiliki hambatanhambatan terutama dalam komunikasi interpersonal yang terdiri dari dua orang. Penjelasan mengenai hambatan komunikasi interpersonal ini diharapkan dapat memberikan pengetahuan dan manfaat bagi semua orang agar dapat meminimalisir terganggunya hubungan interpersonal individu dalam menghadapi situasi pandemi Covid 19.
FEAR OF INTIMACY DALAM HUBUNGAN ROMANTIS PADA WANITA DEWASA AWAL DARI ORANGTUA YANG BERCERAI
Year: 2019

Penelitian ini bertujuan untuk memberikan gambaran fear of intimacy dalam hubungan romantis pada wanita dewasa awal dari orang tua yang bercerai, dilihat dari persepsinya terhadap perceraian orangtua serta manifestasi fear of intimacy dalam hubungan romantis yang dialami wanita dewasa awal. Pengertian fear of intimacy adalah keterbatasan kemampuan individu untuk bertukar pikiran, perasaan pribadi, dan kebergantungan kepada orang lain yang dihargai karena kecemasan (Sobral Costa, 2015) Fear of intimacy dilihat dari dua dimensi yaitu fear of losing others atau takut akan kehilangan orang lain dan fear of losing self atau takut kehilangan diri (Sobral Costa, 2015) Penelitian ini menggunakan metode penelitian kualitatif dengan teknik studi kasus intrinsik yang melibatkan tiga orang wanita berusia dewasa awal dengan riwayat orangtua bercerai, dan pernah atau sedang menjalin hubungan romantis. Teknik penggalian data menggunakan wawancara kualitatif dengan pedoman umum. Teknik analisis data menggunakan metode analisis tematik theory driven. Pemantapan kredibilitas penelitian dilakukan dengan memberchecking. Hasil penelitian menunjukkan bahwa persepsi perceraian orangtua pada wanita dewasa awal mengarahkan pada perkembangan fear of intimacy dalam hubungan romantisnya dengan pasangan. Hal tersebut ditandai dengan munculnya indikator dimensi fear of losing others dan fear of losing self. Ketiga subjek bersikap tertutup akan informasi personalnya dan tidak ingin bergantung kepada pasangan. Meskipun demikian, bentuk fear of intimacy tersebut berbeda beda pada masing masing subjek.
Reliability and Validity of Abdominal Skeletal Muscle Area Measurement Using Magnetic Resonance Imaging.
Venue: Academic radiology
Year: 2020

Skeletal muscle mass measurement is the most important element for diagnosing sarcopenia. MRI has an excellent soft tissue contrast, which can non invasively assess abdominal skeletal muscle area (SMA) as well as CT. This study aimed to assess the validity and reliability of abdominal SMA measurement by comparing CT and MRI based on the fat image of IDEAL IQ sequence at the lumbar level mid L3.  CT and MRI images of 32 patients diagnosed with various kidney diseases were used to analyze intra observer variability among abdominal SMA measurements. This was done to evaluate the correlation of SMA between CT and fat images of MRI. SMA images were segmented using Materialise Mimics software before quantification. Interobserver reliability and validation of measurements was evaluated by two independent investigators. Abdominal SMA reproducibility and correlation between CT and MRI were then assessed using the intraclass correlation coefficient (ICC) coefficient of variation (CV) Bland Altman plot, and Pearson's correlation coefficient respectively.  The interobserver reliability of MRI was excellent. The CV value was 2.82% while the ICC values ranged between 0.996 and 0.999. Validity was high (CV was 1.7% and ICC ranged between 0.986 and 0.996) for measurements by MRI and CT. Bland Altman analysis revealed an average difference of 2.2% between MRI and CT. The Pearson's correlation coefficient was 0.995 (p 0.0001) This result revealed that there was a strong correlation between the two technologies.  MRI exhibited good interobserver reliability and excellent agreement with CT for quantification of abdominal SMA.
Current Carrying Capacity of Quasi 1D ZrTe3 Van Der Waals Nanoribbons
Venue: IEEE Electron Device Letters
Year: 2018

Quasi 1D van der Waals materials, such as transition metal trichalcogenides, have strong covalent bonds in one direction and weaker bonds in cross plane directions. They can be prepared as crystalline nanowires or nanoribbons consisting of 1D atomic threads, i.e. chains. We have examined the current carrying capacity of ZrTe<sub>3</sub> nanoribbons using a set of structures fabricated by the shadow mask method. The bulk crystals were synthesized by the chemical vapor transport method and exfoliated onto Si/SiO<sub>2</sub> substrates. It was found that ZrTe<sub>3</sub> nanoribbons reveal an exceptionally high current density, on the order of ~100 MA/cm<sup>2</sup> at the peak of the stressing DC current. The low frequency noise was of 1/<inline formula> <tex math notation="LaTeX"{f} /tex math> /inline formula> type near room temperature <inline formula> <tex math notation="LaTeX"{f} /tex math> /inline formula> is the frequency) The noise amplitude scaled with the resistance, following the trend established for other low dimensional materials. The high current density in ZrTe<sub>3</sub> can be attributed to the single crystal nature of quasi 1D van der Waals materials.
Exploratory Analysis of Urban Climate Using a Gap Filled Landsat 8 Land Surface Temperature Data Set
Venue: Sensors
Year: 2020

The Landsat 8 satellites have retrieved land surface temperature (LST) resampled at a 30 m spatial resolution since 2013, but the urban climate studies frequently use a limited number of images due to the problems related to missing data over the city of interest. This paper endorses a procedure for building a long term gap free LST data set in an urban area using the high resolution Landsat 8 imagery. The study is applied on 94 images available through 2013 2018 over Bucharest (Romania) The raw images containing between 1.1% and 58.4% missing LST data were filled in using the Data INterpolating Empirical Orthogonal Functions (DINEOF) algorithm implemented in the sinkr R packages. The resulting high spatial resolution gap filled land surface temperature data set was used to explore the LST climatology over Bucharest (Romania) an urban area, at a monthly, seasonal, and annual scale. The performance of the gap filling method was checked using a cross validation procedure, and the results pledge for the development of an LST based urban climatology.
Enhancing the Reliability of NFV with Heterogeneous Backup
Venue: 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
Year: 2019

Virtual network function provides tenant with flexible and scalable end to end service chaining in the cloud computing and data center environments. However, comparing with traditional hardware network devices, the uncertainty caused by software and virtualization of Network Function Virtualization expands the attack surface, making the network node vulnerable to a certain types of attacks. The existing approaches for solving the problem of reliability are able to reduce the impact of failure of physical devices, but pay little attention to the attack scenario, which could be persistent and covert. In this paper, a heterogeneous backup strategy is brought up, enhancing the intrusion tolerance of NFV SFC by dynamically switching the VNF executor. The validity of the method is verified by simulation and game theory analysis.
Stock Forecasting Using Natural Language and Recurrent Network
Venue: 2020 3rd International Conference on Emerging Technologies in Computer Engineering: Machine Learning and Internet of Things (ICETCE)
Year: 2020

The factors affecting the stock price of a company include financial aspects, government policies, international policies, emerging news, which affects the investors and hence the market. Critical technical indicators are taken into account while proposing multi level machine learning in this paper. Firstly, the sentiments of news articles analyzed using lexicon based Natural Language Processing (NLP) The lexicon used is exclusively based on financial, social media. Each news article analyzed for aspect extraction and aspect based sentiment analysis. Along with market news sentiments and the company's historical financial data, feature vector also includes critical technical analyses based on trend, momentum, and volatility. The future stock price movements forecast utilizes Long Short Term Memory Recursive Neural Network (LSTM RNN) model. The results indicate that the discussed model performs well without requiring any data preprocessing, cycle analyses, or seasonality testing.
Drum front cutting type continuous mining and loading machine for open pit coal mine
Year: 2013

The utility model discloses a drum front cutting type continuous mining and loading machine for open pit coal mine, and belongs to the field of coal mine equipment. The machine comprises a front cutting head, wherein one end of a cutting head lifting mechanism is fixedly mounted at the top of the front cutting head, and the other end of the cutting head lifting mechanism is fixedly mounted at the lower part of a chassis frame body of a traveling chassis mechanism through a hinge; a loading conveying mechanism is mounted in front of a transfer conveying mechanism behind the front cutting head; an operation room is mounted at the upper part of the chassis frame body of the traveling chassis mechanism; an electric system, a control room and a hydraulic pump station are mounted in the middle of the chassis frame body of the traveling chassis mechanism. The machine provided by the utility model has the characteristics that the production efficiency is high, the labor intensity is low, the product quality is guaranteed, the environmental pollution is alleviated, the cost is low, the benefit is high, and the repair and maintenance operation is easy; the problems of low production efficiency, high labor intensity, high ton coal cost and incapability of continuously and directly meeting the need of coal for power plants or coal chemical plants in existing mining equipment for open pit coal mine are solved.
Aisa 1st annual conference "Nostra res agitur: open science as a social question" [section 3]
Year: 2015

Video degli interventi della mattina del 23 ottobre 2015, secondo l'ordine seguente: Introduzione (0:00:00 0:02:08) La ricerca fra filosofia, politica e diritto: A. Cerroni (0:02:09 0:28:51) M.C. Pievatolo (0:30:15 0:52:59) P. Galimberti (0:53:54 1:08.24) V. Moscon (1:09:36 1:34:01).Dati aperti, archivi istituzionali: E. Giglia (1:35:02 1:52:30) F. Di Donato (1:54:49 2:12.59) T. Margoni(2.13.46 2.35.19) G. Benedetti (2:36:55 2:54:23) Chiusura (2:54:24 3:00:50) La registrazione e stata curata dal Team Elearning ed Eventi del Centro Serra dell'universita di Pisa.
Development of bio rights incentive scheme for participatory restoration and conservation of mangrove resources
Year: 2017

2017. Development of bio rights incentive scheme for participatory restoration and conservation of mangrove resources. Biodiversitas 18: 121 128. Bio rights incentive scheme is one strategy to accommodate efforts to increase economic benefits with efforts to prevent counterproductive activities to the environment (through restoration and conservation of natural resources) This study aims to assess the implementation of bio rights incentive schemes, its achievements, and challenges in its implementation. The research was done by using survey method in Pesantren Village, Ulu Jami Sub district, Pemalang, Central Java, Indonesia, which is the location of the pilot project established by Wetland International Indonesia (WII) The research was done in August to December 2014. The results showed that bio rights incentives scheme could encourage the community to participate actively in restoration and conservation of mangrove resources. Implementation of bio rights scheme was done through the provision of micro credits to the community groups to develop activities that can generate sustainable income. Loan repayments and its interest was not in cash, but in the form of conservation service activities such as reforestation, habitat protection and the prevention of unsustainable land use. Through the bio rights scheme, besides gaining financial benefits, villagers in Pesantren also received other benefits such as improvement of environmental conditions (widespread mangrove plantation, improvement in land productivity and the intensity of mangrove aquaculture).Keywords: Bio rights, conservation, mangrove, participatory, restoration
Financial Globalization and Economic Growth Literature Review with Comments
Year: 2017

The second chapter is a critical review of the main articles, monographs, and books on the topic of financial openness and its impact on economic growth. It starts by looking at seminal works from the early 1970s in which the terms financial repression and financially liberalized systems were introduced. It then moves on to Minsky's financial instability hypothesis and the findings of a range of studies from the Obstfeld Taylor in 2002 to Lane and Milesi Ferretti in 2014. The topics discussed run from the initial hypotheses and assumptions regarding financial openness impact on economic growth, through the major findings and conclusions of studies into the connections between financial openness and economic growth during the final three decades of the twentieth and the first decade of the current century, to ways of measuring de jure and de facto financial liberalization and observations on the adjustment processes before and after the crisis of 2008.
Lambert W function simplified expressions for photovoltaic current voltage modelling
Venue: 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC I&CPS Europe)
Year: 2020

In this paper, the first work carried out at the IDR/UPM Institute within the frame of the educational innovation project PIRAMIDE is presented. This work is related to photovoltaic behavior modeling simplification. The aim is to derive simplified and easy to work with equations for the Lambert W function. This mathematical function represents a quite useful tool when modeling solar cells/panels performance (that is, the current voltage curve) by analytical approaches. However, the Lambert W function has a complex solving process which might represent an unaffordable mathematical challenge for a great number of professionals/technicians from the photovoltaic industrial sector. Simple approximations for the Lambert W function on both of its branches (positive and negative) are proposed in this work. The results of the present work show a simple but accurate way of photovoltaic systems modeling, even when working with the implicit equation of the 1 Diode/2 Resistor equivalent circuit model (whose solution is given in the present work by an explicit equation)
An Actor Critic Attention Mechanism for Deep Reinforcement Learning in Multi view Environments
Venue: IJCAI
Year: 2019

In reinforcement learning algorithms, leveraging multiple views of the environment can improve the learning of complicated policies. In multi view environments, due to the fact that the views may frequently suffer from partial observability, their level of importance are often different. In this paper, we propose a deep reinforcement learning method and an attention mechanism in a multi view environment. Each view can provide various representative information about the environment. Through our attention mechanism, our method generates a single feature representation of environment given its multiple views. It learns a policy to dynamically attend to each view based on its importance in the decision making process. Through experiments, we show that our method outperforms its state of the art baselines on TORCS racing car simulator and three other complex 3D environments with obstacles. We also provide experimental results to evaluate the performance of our method on noisy conditions and partial observation settings.
Text document clustering using Spectral Clustering algorithm with Particle Swarm Optimization
Venue: Expert Syst. Appl.
Year: 2019

Document clustering is a gathering of textual content documents into groups or clusters. The main aim is to cluster the documents, which are internally logical but considerably different from each other. It is a crucial process used in information retrieval, information extraction and document organization. In recent years, the spectral clustering is widely applied in the field of machine learning as an innovative clustering technique. This research work proposes a novel Spectral Clustering algorithm with Particle Swarm Optimization (SCPSO) to improve the text document clustering. By considering global and local optimization function, the randomization is carried out with the initial population. This research work aims at combining the spectral clustering with swarm optimization to deal with the huge volume of text documents. The proposed algorithm SCPSO is examined with the benchmark database against the other existing approaches. The proposed algorithm SCPSO is compared with the Spherical K means, Expectation Maximization Method (EM) and standard PSO Algorithm. The concluding results show that the proposed SCPSO algorithm yields better clustering accuracy than other clustering techniques.
CenterNet: Object Detection with Keypoint Triplets
Year: 2019

In object detection, keypoint based approaches often suffer a large number of incorrect object bounding boxes, arguably due to the lack of an additional look into the cropped regions. This paper presents an efficient solution which explores the visual patterns within each cropped region with minimal costs. We build our framework upon a representative one stage keypoint based detector named CornerNet. Our approach, named CenterNet, detects each object as a triplet, rather than a pair, of keypoints, which improves both precision and recall. Accordingly, we design two customized modules named cascade corner pooling and center pooling, which play the roles of enriching information collected by both top left and bottom right corners and providing more recognizable information at the central regions, respectively. On the MS COCO dataset, CenterNet achieves an AP of 47.0% which outperforms all existing one stage detectors by a large margin. Meanwhile, with a faster inference speed, CenterNet demonstrates quite comparable performance to the top ranked two stage detectors. Code is available at https:/github.com/ Duankaiwen/CenterNet.