nils-herrmann/clean_scirepeval huggingface dataset:
Accelerated sampling methods for high dimensional molecular systems
Year: 2019

Simulating molecular systems is a significant use of high performance computing. However, molecular dynamics simulations are limited by the time scales of events that can be reliably accessed. Such events are often precisely those that are of interest, such as chemical reactions or substantial conformational changes. Accelerated simulation methods can bias a simulation towards these so called 'rare events' more quickly, but they are typically computationally expensive or require the identification of lowdimensional representations that describe the event. In this thesis, improvements to simulation methods for accessing these rare events are presented. The first is the automation and generalisation of the boxed molecular dynamics (BXD) method, making it more efficient and usable with events that require higher dimensional representation. Additionally, a virtual reality framework for interactive molecular dynamics (iMD VR) is presented as a strategy for the rapid identification of pathways and collective variables that can be used with existing accelerated molecular dynamics methods. The framework is evaluated in a user study, in which it was found that VR enables a statistically significant advantage over traditional interfaces for performing tasks in molecular systems. Furthermore, the framework is evaluated for generating initial pathways on a benchmark system, alanine dipeptide, and found to produce reasonable pathways. These pathways were then optimised for use with metadynamics, an accelerated sampling method, to produce converged free energy surfaces. The framework is further tested in larger systems including knotting pathways in the hypothetical protein MJ0366 and loop motions in the enzyme cyclophilin A. In these cases, it was possible to produce the desired pathways and initial conditions with the iMD VR framework. The use of adaptive sampling with Markov models to perform follow up sampling on these systems is critically evaluated.
Diz Revizyon Cerrahisi Sonrsi Patellar Tendon Rupturunun Asil Tendon Allogrefti ile Rekonstruksiyonu
Year: 2017

Total diz artroplastisinde ekstansor mekanizma rupturu korkulan bir komplikasyondur.Diz artroplastisinde tibial tuberkul avulsiyonu, patellar tendon rupturu, patella kirigi veya kuadriseps tendon rupturune bagli ekstansor mekanizma yetmezligi gelisebilir. Cerrahi secenekler primer tamirden tum ekstansor mekanizmanin allogreft rekonstruksiyonuna kadar degismektedir. Kemik bloklu asil tendon allogrefti diz ekstansor mekanizmasi tamiri icin yaygin olarak kullanilmaktadir.Bu yazida revizyon diz artroplastisi sirasinda olusan patellar tendon rupturu olan bir hastayi sunmak amaclanmistir.
Design models for shear strengthening of reinforced concrete beams with externally bonded FRP composites a statistical vs reliability approach
Year: 2007

Experimental studies conducted worldwide on reinforced concrete (RC) beams strengthened in shear with externally bonded (EBR) fiber reinforced polymers (FRP) over the last years evince the reliability and efficacy of such technique for structural retrofitting. For elements with shear resistance deficiencies, an higher load carrying capacity may be achieved by bonding FRP reinforcement systems with the fibers as orthogonal as practically possible to the critical shear crack plane for an optimal configuration, or with the fibers normal to the beam axis for a more practical setting. Common configurations of strengthening (Fig.1) include the full wrapping of the cross section (O) U jacketing along 3 sides (U) and side bonding in the beam web (S) Additional mechanical anchorage systems can be provided to enhance the behavior of U or S configurations where the available bond length is short (U+ and S+
Multimodal Machine Learning: A Survey and Taxonomy
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2019

Our experience of the world is multimodal we see objects, hear sounds, feel texture, smell odors, and taste flavors. Modality refers to the way in which something happens or is experienced and a research problem is characterized as multimodal when it includes multiple such modalities. In order for Artificial Intelligence to make progress in understanding the world around us, it needs to be able to interpret such multimodal signals together. Multimodal machine learning aims to build models that can process and relate information from multiple modalities. It is a vibrant multi disciplinary field of increasing importance and with extraordinary potential. Instead of focusing on specific multimodal applications, this paper surveys the recent advances in multimodal machine learning itself and presents them in a common taxonomy. We go beyond the typical early and late fusion categorization and identify broader challenges that are faced by multimodal machine learning, namely: representation, translation, alignment, fusion, and co learning. This new taxonomy will enable researchers to better understand the state of the field and identify directions for future research.
OpenDaylight: Towards a Model Driven SDN Controller architecture
Venue: Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014
Year: 2014

This paper describes a novel Software Defined Networking (SDN) Controller architecture that is built on Model Driven Software Engineering (MDSE) principles. It supports both the "classic" OpenFlow based approach to SDN and emerging model driven network management/programmability technologies, such as NETCONF/YANG. The architecture was first implemented in the OpenDaylight Project Hydrogen release, and it is being further evolved in subsequent OpenDaylight releases.
POLA ASUH ORANGTUA TERHADAP PERKEMBANGAN SOSIAL ANAK USIADINI DI KELOMPOK B TK ARTHAKENCANA
Year: 2017

Penelitian ini bertujuan untuk mengetahui pola asuh orang tua, perkembangan sosial anak dan pola asuh yang tepat untuk anak usia dini di kelompok b 1 TK Artha Kencana. Metode penelitian yang digunakan deskriptif kualitatif yang menggunakan langkah penelitian dari mulyasa. Data deskriptif yang diperoleh dengan menggunakan berbagai cara untuk mengumpulkan data penelitian tersebut. Pertama observasi, kedua wawancara, ketiga dokumentasi. Dan dilakukan dalam tiga tahap yaitu: tahap persiapan dilakukan dengan melakukan kajian teori, tahap pelaksanaan dilakukan selama satu bulan Setelah peneliti melakukan persiapan instrumen dan bekal pengetahuan teoritis, dan tahap ketiga pelaporan hasil analisi di lapangan dituangkan dalam bentuk laporan penelitian sebagai laporan utuh hasil penelitian secara rinci dan sistematis. informan pada penelitian ini berjumlah 15 orang. Pola asuh merupakan cara orang tua dalam mendidik anaknya, dalam hal ini tentu orang tua memiliki cara yang berbeda untuk pelaksanaannya. Kemungkinan ada yang menuruti teori mungkin ada juga yang tidak. Pola asuh terbagai menjadi beberapa macam diantaranya pola asuh otoriter, permisif dan demokratis. Temuan dari hasil penelitian yang dilakukan di kelompok B TK Artha Kencana bahwa pola asuh yang diterapkan lebih cenderung pada pola asuh demokratis, yang berpengaruh terhadap perkembangan sosial anak usia dini.
Internet and international food industry trade
Venue: Ind. Manag. Data Syst.
Year: 2010

The purpose of this paper is to provide an adaptedz gravity model to measure the impact of the number of the internet users on food industry trade between developed Organisation for Economic Cooperation and Development countries using both panel and cross sectional data. The impact of the internet users on food industry export growth and levels, and on food industry trade reorientation, and whether the internet has altered the effect of distance on food industry trade, are analyzed using adapted gravity model. The positive, significant and over time increasing effect of the internet on food industry exports confirm that the internet reduces market specific entry costs for food industry exports. The significant positive effect pertained to the internet is found in the importing countries. The significant positive effects on food industry exports are found for the country's economic size and bilateral common features and proximities. The internet mitigates th.
IoT and Cloud Enabled Evidence Based Smart Decision Making Platform for Precision Livestock Farming
Venue: BICS
Year: 2019

Precision livestock farming (PLF) refers to utilize sensors and IT management system in cyber physical farm to introduce more intelligence in farming activities. PLF hardware including sensors as data capturing device and computer as data processing unit. PLF software is for connecting sensors, processing data and visualizing result in real time. This technology can reduce human error, minimize the number of labours and providing evidence based decision making. The software which connected to sensors should be flexible and easy to use, able to extend by allowing new type of sensors to be effectively integrated. Although many works have been done for PLF such as object recognition, tracking, weight measuring etc. [4, 5] however, there still lacks a generic platform which could integrate various algorithms and providing instant information for shareholders. This paper will present the technology stack involved in developing the platform.
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations
Venue: ArXiv
Year: 2020

Counterfactual explanations are a prominent example of post hoc interpretability methods in the explainable Artificial Intelligence research domain. They provide individuals with alternative scenarios and a set of recommendations to achieve a sought after machine learning model outcome. Recently, the literature has identified desiderata of counterfactual explanations, such as feasibility, actionability and sparsity that should support their applicability in real world contexts. However, we show that the literature has neglected the problem of the time dependency of counterfactual explanations. We argue that, due to their time dependency and because of the provision of recommendations, even feasible, actionable and sparse counterfactual explanations may not be appropriate in real world applications. This is due to the possible emergence of what we call "unfortunate counterfactual events." These events may occur due to the retraining of machine learning models whose outcomes have to be explained via counterfactual explanation. Series of unfortunate counterfactual events frustrate the efforts of those individuals who successfully implemented the recommendations of counterfactual explanations. This negatively affects people's trust in the ability of institutions to provide machine learning supported decisions consistently. We introduce an approach to address the problem of the emergence of unfortunate counterfactual events that makes use of histories of counterfactual explanations. In the final part of the paper we propose an ethical analysis of two distinct strategies to cope with the challenge of unfortunate counterfactual events. We show that they respond to an ethically responsible imperative to preserve the trustworthiness of credit lending organizations, the decision models they employ, and the social economic function of credit lending.
Dynamic and distributed channel congestion control strategy in VANET
Venue: 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Year: 2014

Congestion control is an important research issue to ensure safe and reliable vehicle to vehicle communication by using the limited resource available in vehicular ad hoc network. It supports the communication of safe and unsafe messages among vehicles. The present work controls channel congestion dynamically by reducing the rate of transmission of messages among vehicles. The transmission rate of messages is reduced by allowing only the authentic vehicles to utilize the available resources in the network, by revoking the attackers and also by controlling the channel load dynamically. The performance of the proposed channel congestion control strategy is studied with and without the revocation of attackers.
The independent spreaders involved SIR Rumor model in complex networks
Year: 2015

Recent studies of rumor or information diffusion process in complex networks show that in contrast to traditional comprehension, individuals who participate in rumor spreading within one network do not always get the rumor from their neighbors. They can obtain the rumor from different sources like online social networks and then publish it on their personal sites. In our paper, we discuss this phenomenon in complex networks by adopting the concept of independent spreaders. Rather than getting the rumor from neighbors, independent spreaders learn it from other channels. We further develop the classic "ignorant spreaders stiflers" or SIR model of rumor diffusion process in complex networks. A steady state analysis is conducted to investigate the final spectrum of the rumor spreading under various spreading rate, stifling rate, density of independent spreaders and average degree of the network. Results show that independent spreaders effectively enhance the rumor diffusion process, by delivering the rumor to regions far away from the current rumor infected regions. And though the rumor spreading process in SF networks is faster than that in ER networks, the final size of rumor spreading in ER networks is larger than that in SF networks.
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Venue: ArXiv
Year: 2018

We present a new question set, text corpus, and baselines assembled to encourage AI research in advanced question answering. Together, these constitute the AI2 Reasoning Challenge (ARC) which requires far more powerful knowledge and reasoning than previous challenges such as SQuAD or SNLI. The ARC question set is partitioned into a Challenge Set and an Easy Set, where the Challenge Set contains only questions answered incorrectly by both a retrieval based algorithm and a word co occurence algorithm. The dataset contains only natural, grade school science questions (authored for human tests) and is the largest public domain set of this kind (7,787 questions) We test several baselines on the Challenge Set, including leading neural models from the SQuAD and SNLI tasks, and find that none are able to significantly outperform a random baseline, reflecting the difficult nature of this task. We are also releasing the ARC Corpus, a corpus of 14M science sentences relevant to the task, and implementations of the three neural baseline models tested. Can your model perform better? We pose ARC as a challenge to the community.
Practical Applications of Superhydrophobic Materials and Coatings: Problems and Perspectives.
Venue: Langmuir the ACS journal of surfaces and colloids
Year: 2020

Synthetic superhydrophobic (SH) surfaces were developed after 1990s and the number of publications in this field is around 13.500 at present. However, the industrial production of the SH coatings is very unsatisfying after the intensive research activity especially in the last two decades. The main reason is the loss of the water repellence properties when SH surfaces are exposed to outdoor conditions due to their weak mechanical properties and contamination from the medium which remove the initial SH properties. In this Feature Article, we focus on the scientific and technical reasons which prevent the application of the SH surfaces in our daily lives by highlighting some well known, but mostly overlooked problems in this area (the synthesis methods of SH surfaces is not the subject of this article since they were reviewed previously in very good articles) The basic contact angle science and the issue of the cancellation of the Wenzel and Cassie Baxter equations are reviewed in the first part. The issues of the expensive and small scale SH surface preparation problems, the difficulties to obtain a transparent SH surface, the troubles arising from the water vapor condensation on a SH surface, the lack of robustness and abrasion resistance of most of the SH surfaces, the drawbacks of the fabricated self healing SH surfaces, the short useful service life of self cleaning SH surfaces due to the surface contamination and the ineffective anti icing SH coatings are reviewed in the following parts. Some important problems affecting the unsuccessful industrial applications of the SH surfaces are discussed critically in the conclusions and outlook section. Finally, some proposals are presented for the future directions on the synthesis and application of SH surfaces.
Produktentwicklung: KI ready?
Year: 2020

Produkt und Betriebsdaten konnen durch den Einsatz von Kunstlicher Intelligenz (KI) genutzt werden, um die Produktentwicklung zu verbessern. Voraussetzung dafur ist, dass Daten in der richtigen Qualitat und in ausreichender Anzahl verfugbar sind. Um diese Voraussetzung (KI Readiness) besser zu erfullen, benotigt es haufig grosser Anstrengungen im Unternehmen. Prozesse, Methoden und IT Systeme mussen global harmonisiert werden. In diesem Beitrag werden die Evolutionsschritte hin zur ,KI Readiness" in der Produktentwicklung beschrieben.
Mycorrhiza biofertilizer and intercropping with soybean increase anthocyanin contents and yield of upland red rice under aerobic irrigation systems
Year: 2021

Red rice kernels are known to have high antioxidant properties due to its anthocyanins, and application of mycorrhizal fungi was reported to increase grain anthocyanins. This study aimed to examine the effects of intercropping with soybean and mycorrhiza biofertilizer on grain anthocyanins and yield of upland red rice under aerobic irrigation system. The experiment was conducted in Beleke, West Lombok, Indonesia, under Split Split Plot design with three treatment factors, i.e. upland red rice genotypes as the main plots (G04, G10) intercropping as the sub plots (monocrop or intercropping with soybean) and mycorrhiza as the sub sub plots (without or with mycorrhiza) Results indicated that intercropping and mycorrhiza application significantly increased grain anthocyanin contents and yield, but rice genotypes showed differences only in grain yield per clump. However, there was a three way interaction on percentage of filled grain number, and a two way interaction on grain anthocyanins, in which mycorrhiza application resulted in more significant increases in anthocyanin contents and grain yield of the red rice under intercropping with soybean than under monocrop. Therefore, application of mycorrhiza biofertilizer and intercropping with soybean, besides increasing grain yield, are also capable of increasing health values of the red rice grown on raised beds in aerobic irrigation system.
IMPROVING INVENTORY MANAGEMENT POLICY: CASE STUDY 999 STATIONERY
Year: 2019

Inventory management is important part in an organization or company because it can indirectly affect organization or company profitability. For store such as stationery store that has major activity to sell and buy product, inventory take an important part, because the amount of product that they keep can affect cost that they need to bear. Currently, 999 Stationery face problem in their inventory m anagement, their problem mostly about the high level inventory and product shortage which result in high cost that they need to bear. The cost they need to bear include holding cost and shortage cost. If the store keep many products in their warehouse it can give impact to high holding cost .But, if there is a lack of product stock it will impact to unsatisfied customer that can lead to the loss opportunity to get the profitfrom the customer, since the customer probably will buy the product from different store. Those problem can happen because the responsible person in store did not have an appropriate method to determine when to order and how much to order. The methodhology used are qualitative such as interview, and quantitative to calculate the method/tools chosen and see the impact of the metode/tools, there will be comparison between the current inventory policy and proposed inventory policy. The result of this reseach are probabilistic model is the most suitable method to determine when to order, and economic order quantity is the most suitable method to determine how much to order. With the using of those method 999 Stationery can generate lower cost compared to the current strategy.  Stationery, Inventory Management Policy, Reorder Point, Safety Stock, Economic Order Quantity
What determines forgiveness in close relationships? The role of post transgression trust
Venue: The British journal of social psychology
Year: 2017

Relationship closeness is one of the best predictors of forgiveness. But what is the process by which closeness encourages forgiveness? Across three studies, we employed a mix of experimental and correlational designs with prospective (N 108) scenario (N 71) and recall (N 184) paradigms to test a multiple mediation model. We found consistent evidence that the positive association between relationship closeness and forgiveness may be explained by levels of post transgression trust in the offender. Moreover, trust always played the main mediating role in the forgiveness process, even when taking into account several transgression specific variables associated with both trust and forgiveness (e.g. apology) We discuss the theoretical and practical implications of trust as a key indicator of forgiveness in close relationships.
Conservative management of neuromuscular scoliosis: Personal experience and review of literature
Venue: Disability and rehabilitation
Year: 2008

The principles of conservative management of neuromuscular scoliosis in childhood and adolescence are presented.  Analysis of personal experience and literature review. The topic is discussed separately for patients with flaccid or spastic paresis.  These demonstrate that conservative management might be proposed for patients with neuromuscular scoliosis in many clinical situations. In spastic disorders, it maintains the symmetry around the hip joints. Bracing is technically difficult and often is not tolerated well by cerebral palsy children. In patients with flaccid paresis, the fitting and the use of brace is easier than in spastic patients. The flexibility of the spinal curvature is more important. Functional benefits of conservative management of neuromuscular scoliosis comprise stable sitting, easier use of upper limbs, discharge of the abdomen from the collapsing trunk, increased diaphragm excursion, and, not always, prevention of curve progression.  Specific natural history and multiple medical problems associated with the disease make the treatment of children with neuromuscular scoliosis an extremely complex issue, best addressed when a team approach is applied. Continuously improving techniques of conservative management, comprising bracing and physiotherapy, together with correctly timed surgery incorporated in the process of rehabilitation, provide the optimal care for patients.