nils-herrmann/clean_scirepeval huggingface dataset:
Training an Agent for FPS Doom Game using Visual Reinforcement Learning and VizDoom
Year: 2017

Because of the recent success and advancements in deep mind technologies, it is now used to train agents using deep learning for first person shooter games that are often outperforming human players by means of only screen raw pixels to create their decisions. A visual Doom AI Competition is organized each year on two different tracks: limited death match on a known map and a full death match on an unknown map for evaluating AI agents, because computer games are the best test beds for testing and evaluating different AI techniques and approaches. The competition is ranked based on the number of frags each agent achieves. In this paper, training a competitive agent for playing Doom's (FPS Game) basic scenario(s) in a semi realistic 3D world 'VizDoom' using the combination of convolutional Deep learning and Q learning by considering only the screen raw pixels in order to exhibit agent's usefulness in Doom is proposed. Experimental results show that the trained agent outperforms average human player and inbuilt game agents in basic scenario(s) where only move left, right and shoot actions are allowed.
A QoS solution for three dimensional Full HD H.264/MVC video transmission over IP networks
Venue: 7th Iberian Conference on Information Systems and Technologies (CISTI 2012)
Year: 2012

Tridimensional video streaming has recently drawn significant attention from users and content providers. This has led to an implementation of 3D transmission over IP networks that extend the legacy 2D solution to support multiple views within each image. More recently, a Multiview Video Coding amendment of the H.264 standard has been approved which, among other applications, is being used on the encoding of 3D content in Blu ray discs. This latter solution has shown to be capable of improving the compression ratio when compared with the Side by Side encoding, by exploring inter view redundancies. In this paper, we evaluate the challenges of encoding and transmitting 3D content in MVC, for Full HD content distribution over IP networks. We also design and evaluate a Weighted RED queuing mechanism for QoS capable networks based on the MVC structure is capable of improving the quality of the received video.
Potential Worldview and Behavioral Transformation within the Ugandan LGBT and Evangelical Context
Year: 2015

To fulfill the mission entrusted to believers by God and shown through the incarnation of Jesus Christ, the same principle of loving others unconditionally is the Church's mandate. Unfortunately, Ugandan traditional worldviews, compounded by outside influences, have contributed to bringing this self proclaimed, Christian nation to a point of worldwide recognition and reprimand because of its destructive anti gay legislation and oppression of the LGBT community. Focusing on the struggle between Ugandan evangelical leaders and their response to those with same sex orientation, this dissertation seeks to investigate the use of Cultural Intelligence (CQ) as a tool for 1 "Global Views on Morality," Pew Research Centers Global Attitudes Project RSS, April 15, 2014, Summary, accessed December 13, 2014, http:/www.pewglobal.org/2014/04/15/globalmorality/table/homosexuality/
Emerging Properties in Self Supervised Vision Transformers
Venue: ArXiv
Year: 2021

In this paper, we question if self supervised learning provides new properties to Vision Transformer (ViT)  that stand out compared to convolutional networks (convnets) Beyond the fact that adapting self supervised methods to this architecture works particularly well, we make the following observations: first, self supervised ViT features contain explicit information about the semantic segmentation of an image, which does not emerge as clearly with supervised ViTs, nor with convnets. Second, these features are also excellent k NN classifiers, reaching 78.3% top 1 on ImageNet with a small ViT. Our study also underlines the importance of momentum encoder [26] multi crop training [9] and the use of small patches with ViTs. We implement our findings into a simple self supervised method, called DINO, which we interpret as a form of self distillation with no labels. We show the synergy between DINO and ViTs by achieving 80.1% top 1 on ImageNet in linear evaluation with ViT Base.  mathilde@fb.com Code: https:/github.com/facebookresearch/dino
Correlation between sagittal plane changes and adjacent segment degeneration following lumbar spine fusion
Venue: European Spine Journal
Year: 2014

Adjacent segment degeneration following lumbar spine fusion remains a widely acknowledged problem, but there is insufficient knowledge regarding the factors that contribute to its occurrence. The aim of this study is to analyse the relationship between abnormal sagittal plane configuration of the lumbar spine and the development of adjacent segment degeneration. Eighty three consecutive patients who underwent lumbar fusion for degenerative disc disease were reviewed retrospectively. Patients with spondylolytic spondylolisthesis and degenerative scoliosis were not included in this study. Mean follow up period was 5 years. Results were analysed to determine the association between abnormal sagittal configuration and post operative adjacent segment degeneration. Thirty one out of 83 patients (36.1% showed radiographic evidence of adjacent segment degeneration. Patients with normal C7 plumb line and normal sacral inclination in the immediate post operative radiographs had the lowest incidence of adjacent level change compared with patients who had abnormality in one or both of these parameters. The difference was statistically significant (P<0.02) There was no statistically significant difference in the incidence of adjacent level degeneration between male and female patients; between posterior fusion alone and combined posterolateral and posterior interbody fusions; and between fusions extending down to the sacrum and fusions stopping short of the sacrum. It was concluded was that normality of sacral inclination is an important parameter for minimizing the incidence of adjacent level degeneration. Retrolisthesis was the most common type of adjacent segment change. Patients with post operative sagittal plane abnormalities should preferably be followed up for at least 5 years to detect adjacent level changes.
Estimation of convective and radiative heat losses from an inverted trapezoidal cavity receiver of solar linear Fresnel reflector system
Year: 2014

Solar linear Fresnel reflector (LFR) system is simple in design and cost effective technology for medium temperature (400 degC) applications. In this article, convective and radiative heat losses from the inverted trapezoidal cavity receiver for solar linear Fresnel reflector are estimated using a two dimensional (2 D) numerical model. The 2 D numerical simulation of trapezoidal cavity receiver is carried out by considering the receiver surface as isothermal conditions. The heat loss analysis is carried out for various receiver geometric and operating parameters viz. thickness of the insulation t ins aspect ratio A s cavity depth D c cavity width w operating temperature T r cavity cover emissivities e cc and wind speed V w Based on the numerical simulation of the receiver, an optimum configuration of trapezoidal cavity receiver is obtained with t ins 300 mm, D c 300 mm and A s 2. The total heat losses varies from 663.47 W/m to 1046.3 W/m for w of 300 mm 800 mm at T r 500 degC, e cc 0.5, V w 2.5 m/s. The effect of cavity cover emissivity on total heat losses is found to be less significant when compared to that of other cavity parameters. The optimum receiver configuration of the inverted trapezoidal cavity receiver can be used in solar LFR system with minimum heat losses.
SLEC: A Novel Serverless RFID Authentication Protocol Based on Elliptic Curve Cryptography
Venue: Electronics
Year: 2019

Internet of Things (IoT) is a new paradigm that has been evolving into the wireless sensor networks to expand the scope of networked devices (or things) This evolution drives communication engineers to design secure and reliable communication at a low cost for many network applications such as radio frequency identification (RFID) In the RFID system, servers, readers, and tags communicate wirelessly. Therefore, mutual authentication is necessary to ensure secure communication. Normally, a central server supports the authentication of readers and tags by distributing and managing the credentials. Recent lightweight RFID authentication protocols have been proposed to satisfy the security features of RFID networks. Using a serverless RFID system is an alternative solution to using a central server. In this model, both the reader and the tag perform mutual authentication without the need for the central server. However, many security challenges arise from implementing lightweight authentication protocols in serverless RFID systems. We propose a new secure serverless RFID authentication protocol based on the famous elliptic curve cryptography (ECC) The protocol also maintains the confidentiality and privacy of the messages, tag information, and location. Although most of the current serverless protocols assume secure channels in the setup phase, we assume an insecure environment during the setup phase between the servers, readers, and tags. We ensure that the credentials can be renewed by any checkpoint server in the mobile RFID network. Thus, we implement ECC in the setup phase (renewal phase) to transmit and store the communication credentials of the server to multiple readers so that the tags can perform the mutual authentication successfully while far from the server. The proposed protocol is compared with other serverless frameworks proposed in the literature in terms of computation cost and attacks resistance.
The use of ionic liquid pretreatment of rye straw for bioethanol production
Year: 2017

Rye straw was pretreated with ionic liquid and subjected to enzymatic hydrolysis to produce reducing sugars. The experiment had a Box Behnken design. The aim of the optimization process was to maximize the yield of reducing sugars after enzymatic hydrolysis of rye straw and to determine the optimal conditions for biomass purification with ionic liquid and for enzymatic hydrolysis. The input variables for rye straw pretreatment were temperature, time and quantity of ionic liquid, and the input variables for enzymatic hydrolysis were time, temperature and the quantity of T. reesei and A. niger enzymes. The yield of reducing sugars was highest when rye straw was pretreated under the following conditions: time 2 h, temperature 120 degC, quantity of ionic fluid 10 ml/10g DM rye straw, and subjected to enzymatic hydrolysis under the following conditions: time 72 h, temperature 50 degC, quantity of cellulase from T. reesei 350 ml, quantity of cellobiohydrolase from A. niger 150 ml. Model validation did not reveal significant differences between the approximated and measured values.
Productivity and profitability analysis of sunflower (Helianthus annuus L. through front line demonstrations in Northern transitional Zone on Karnataka
Year: 2020

Front line demonstration (FLD) is an appropriate means for demonstration as well as transfer of improved agricultural innovations to the farming community. Under centrally sponsored scheme on oilseed production technology under NMOOP scheme. The constraints in the production of sunflower crop were identified with a major emphasizes against the pest and diseases in the sunflower. The critical inputs required were identified from the recommended package of practices of Karnataka and their usages were discussed in practicing farmer's trainings at the farmer's field. The average two years data revealed that an average yield of demonstrated plot was obtained 15.81/ha over local check 10.75 q/ha and the average percentage increase in yield over local check was 52.87 per cent. The average extension gap was found to be 6.68. The hybrid DSFH 3 and KBSH 53 performed better at front line demonstrated plot as compared to local check. Further, benefit: cost ratio was recorded to be higher under demonstrated plot against local check during the study. Further, average higher benefit cost ratio (2.45) was recorded under demonstrated plot against check (1.96) The yield levels were considerably low under local practices because of considerable variations in the extent of adoption of recommended package of practices depending upon the amount of risk involved in terms of cost, convenience, skill and knowledge about the concerned practice. The productivity was better over local practice under demonstrations. Hence, sunflower production technology have a broad scope for increasing the area and production at each and every level i.e. Farmers, State and National level.
Analisis Beban Kerja Tenaga Filling Rekam Medis (Studi Kasus Klinik Medika Saintika)
Year: 2020

Hasil observasi awal di bagian rekam medis Klinik Medika Saintika Padang diketaahui jumlah tenaga rekam medis sebanyak 2 orang, 2 oarang tersebut ditempatkan dibagian administrasi atau pendaftaran pasien sedangkan dibagian filling tidak ada tenaga tetap sehingga bisa dilakukan analisis beban kerja tenaga filling rekam medis. Metode penelitian deskriptif dengan pendekatan obsevasional analitik Populasi dalam penelitian ini adalah banyaknya rekam medis yang disiapkan dengan accidental sampling dari rata rata setiap hari sebanyak 32 berkas rekam medis dengan mengguakan analisis data metode workload analysis (analisis beban kerja) Dari hasil hitung jam kerja efektif Klinik Medika Saintika Padang adalah 3,92 jam/hari (14104 detik) dan waktu menyelasaikan semua tugas dibagian filling telah sesuai hanya saja pada bagian filling tidak ada tenaga kerja tetap. Pekerjaan dibagian filling sementara waktu dibantu oleh tenaga administrasi atau pendaftaran, sehingga dari hasil hitungan jumlah kebutuhan tenaga kerja rekam medis dibagian filling Klinik Medika Saintika Padang adalah 1 orang. Pihak klinik harus memperhatikan tenaga kerja dan perlunya struktur organisasi untuk memperjelas memperjelas tanggung jawab, uraian tugas serta kedudukan seorang pegawai, sehingga akan terpenuhi pegawai tetap dibagian filling rekam medis untuk mempertahankan beban kerja dan terbentuknya manajemen waktu yang tepat agar jam kerja efektif dapat dipertahankan
Performance of Phragmites Australis and Cyperus Papyrus in the treatment of municipal wastewater by vertical flow subsurface constructed wetlands
Venue: International Soil and Water Conservation Research
Year: 2019

The use of constructed wetlands to treat municipal wastewater reduces energy consumption and therefore economic costs, as well as reduces environmental pollution. The purpose of this study was to compare the purification capacity of domestic wastewater using two species of plants sown in subsurface constructed wetlands with vertical flow built on a small scale that received municipal wastewater with primary treatment. The species used were Phragmites Australis and Cyperus Papyrus. For this purpose, a constant flow of 0.6 m3 day 1 was fed from the primary lagoon to each of the two wetlands built on a pilot scale with continuous flow. Each unit was filled with granite gravel in the lower part and with silicic sand in the upper part of different granulometry, the porosity of the medium was 0.34, with a retention time of 1.12 days and a hydraulic load rate of 0.2 m day 1. To analyze the purification capacity of wastewater, physical, chemical and biological parameters were monitored during three months. Samples were taken at the entrance and exit in each experimental unit. The results obtained in the experimental tests for the two species of plants, indicated that the Cyperus Papyrus presented a greater capacity of pollutants removal as biochemical oxygen demand (80.69% chemical oxygen demand (69.87% ammoniacal nitrogen (69.69% total phosphorus (50% total coliforms (98.08% and fecal coliforms (95.61% In the case of Phragmites Australis retains more solids. The species with greater efficiency in the treatment of municipal wastewater for this study was Cyperus Papyrus.
A Survey and Comparison of Low Cost Sensing Technologies for Road Traffic Monitoring
Venue: Sensors
Year: 2018

This paper reviews low cost vehicle and pedestrian detection methods and compares their accuracy. The main goal of this survey is to summarize the progress achieved to date and to help identify the sensing technologies that provide high detection accuracy and meet requirements related to cost and ease of installation. Special attention is paid to wireless battery powered detectors of small dimensions that can be quickly and effortlessly installed alongside traffic lanes (on the side of a road or on a curb) without any additional supporting structures. The comparison of detection methods presented in this paper is based on results of experiments that were conducted with a variety of sensors in a wide range of configurations. During experiments various sensor sets were analyzed. It was shown that the detection accuracy can be significantly improved by fusing data from appropriately selected set of sensors. The experimental results reveal that accurate vehicle detection can be achieved by using sets of passive sensors. Application of active sensors was necessary to obtain satisfactory results in case of pedestrian detection.
LifeSteps: An Evidence based Health Promotion Program for Underserved Populations A Community Service Learning Approach
Year: 2015

Chronic diseases are the most common, costly, and preventable of all health problems in the United States. Chronic diseases represent the leading causes of death and are experienced at higher rates by minority populations (CDC, 2012) Innovative community based health promotion programs are recommended that meet the diverse needs of underserved populations (Yeary, et al. 2011) LifeSteps is being developed as an evidence based health promotion program focusing on health and wellness, a domain area defined within the Occupational Therapy Practice Framework (OTPF, 2008) LifeSteps will utilize a client centered approach to coach individuals in making health behavior changes. Fieldwork and service learning components are incorporated integrating clinical practice, academic study, and collaboration with community providers. Program evaluation measures based on the Transtheoretical Model (TTM) have been identified to address all phases of program planning. The LifeSteps health promotion program aligns with local, national, and international objectives and addresses the need for programs that meet the diverse needs of underserved populations. Occupational therapists are in a unique position for implementing community based interventions that promote health and contribute to a healthier society.
Religious Identity Status and Readiness for Interreligious Dialogue in Youth. Developmental Analysis
Year: 2017

The aim of the article is to show statuses of religious identity in Polish Catholic adolescents. The distinguished statuses result from intensive consolidation processes which are characteristic of this age. Integration of religious identity has an effect on potential openness versus reluctance to interreligious dialogue. The study was conducted on 60 participants at the ages of 18 to 29 using the Scale of Religious Identity by Wieradzka Pilarczyk (2015) and Centrality of Religiosity Scale Z 15 by S. Huber (2004) Three statuses of religious identity with different developmental possibilities of entering into interreligious dialogue were distinguished.
Hindsight Generative Adversarial Imitation Learning
Venue: ArXiv
Year: 2019

Compared to reinforcement learning, imitation learning (IL) is a powerful paradigm for training agents to learn control policies efficiently from expert demonstrations. However, in most cases, obtaining demonstration data is costly and laborious, which poses a significant challenge in some scenarios. A promising alternative is to train agent learning skills via imitation learning without expert demonstrations, which, to some extent, would extremely expand imitation learning areas. To achieve such expectation, in this paper, we propose Hindsight Generative Adversarial Imitation Learning (HGAIL) algorithm, with the aim of achieving imitation learning satisfying no need of demonstrations. Combining hindsight idea with the generative adversarial imitation learning (GAIL) framework, we realize implementing imitation learning successfully in cases of expert demonstration data are not available. Experiments show that the proposed method can train policies showing comparable performance to current imitation learning methods. Further more, HGAIL essentially endows curriculum learning mechanism which is critical for learning policies.
Develop leadership style model for indonesian SMEs leaders during Covid 19 pandemic
Year: 2020

The purpose of this research is to analyze and blindly model the influence of democratic leadership, Autocratic leadership, bureaucratic leadership style, Charismatic leadership style on SMEs performance during Covid 19 Pandemic This type of research is quantitative causality The sample of this study were 200 employees work in the food sector SMEs at least 4 employees Sampling in This study uses purposive nonprobability technique sampling Primary data in this study were obtained from researchers from filling out a questionnaire conducted by working employees at SMEs in Banten The data collection method in this study uses questionnaire method and data analysis technique Hypothesis testing in this study was carried out with using an approach based on Partial Least Square (PLS) The conclusion of this study is democratic leadership style, autocratic leadership style, charismatic leadership style, and bureaucratic leadership style have significant effects on SMEs performance