nils-herrmann/clean_scirepeval huggingface dataset:
Learning to reconstruct shape and spatially varying reflectance from a single image
Venue: ACM Trans. Graph.
Year: 2018

Reconstructing shape and reflectance properties from images is a highly under constrained problem, and has previously been addressed by using specialized hardware to capture calibrated data or by assuming known (or highly constrained) shape or reflectance. In contrast, we demonstrate that we can recover non Lambertian, spatially varying BRDFs and complex geometry belonging to any arbitrary shape class, from a single RGB image captured under a combination of unknown environment illumination and flash lighting. We achieve this by training a deep neural network to regress shape and reflectance from the image. Our network is able to address this problem because of three novel contributions: first, we build a large scale dataset of procedurally generated shapes and real world complex SVBRDFs that approximate real world appearance well. Second, single image inverse rendering requires reasoning at multiple scales, and we propose a cascade network structure that allows this in a tractable manner. Finally, we incorporate an in network rendering layer that aids the reconstruction task by handling global illumination effects that are important for real world scenes. Together, these contributions allow us to tackle the entire inverse rendering problem in a holistic manner and produce state of the art results on both synthetic and real data.
APLIKASI KONTROL PID PADA PROSES PENGOLAHAN AIR LAUT MENGGUNAKAN METODE REVERSE OSMOSIS BERBASIS DCS
Venue: JURNAL ELTEK
Year: 2019

Metode pemurnian air laut menggunakan pengaturan kecepatan motor dalam proses reverse osmosis sangat dibutuhkan, dikarenakan proses penyaringan dalam membran reverse osmosis membutuhkan tekanan yang sesuai dengan kemampuan membran. Selain itu juga dibutuhkan kontrol ketinggian air untuk mengotomatisasi tangki yang telah penuh dan mempertahankan ketinggian air. Solusi untuk mengurangi permasalahan ini digunakan DCS yang berfungsi untuk memonitor dan mengontrol plant dari jarak jauh, Metode kontrol yang digunakan pada DCS untuk menstabilkan set point menggunakan metode kontrol PID Ziegler Nichols. Dalam penelitian ini dirancang mini plant kontrol ketinggian air dan tekanan menggunakan metode PID Ziegler Nichols yang diimplementasikan pada DCS PCS7. Sensor yang digunakan untuk ketinggian air adalah HC SR04, dan untuk sensor tekanan menggunakan pressure transmitter. Dengan aplikasi kontrol PID diperoleh kestabilan set point dengan parameter kontrol ketinggian air Kp=134.4, Ti=0 dan Td=1. Waktu untuk mencapai set point 120 detik dan error steady state sebesar 0.94% tanpa gangguan. Untuk parameter Kontrol tekanan air sebesar: Kp=3, Ti=0 dan Td=1.375 dan Delay time 4s, Rise time 7s, Settling time 25s, Osilasi output PID rendah, Error steady state 1.03% tanpa gangguan.
ANALISIS PENGARUH LATAR BELAKANG PENDIDIKAN, PELATIHAN SETELAH MENJABAT DAN PENGALAMAN KERJA TERHADAP TINGKAT PEMAHAMAN STANDAR AKUNTANSI PEMERINTAHAN (SAP) BERBASIS AKRUAL(Studi Kasus Pada Kejaksaan RI)
Year: 2017

Penelitian ini bertujuan untuk mengetahui dan menganalisis permasalahan permasalahan dalam praktek penyusunan laporan keuangan dengan Standar Akuntansi Pemerintahan (SAP) berbasis akrual berdasarkan penyebab dan daerah serta untuk menguji dan menganalisis pengaruh latar belakang pendidikan, pelatihan setelah menjabat dan pengalaman kerja secara individual terhadap tingkat pemahaman Standar Akuntansi Pemerintahan (SAP) berbasis akrual. Populasi dalam penelitian adalah seluruh aparatur SAI Kejaksaan RI pada 523 satuan kerja di seluruh Indonesia dan pemilihan sampel menggunakan metode puposive sampling dengan judgement sampling, dimana dengan metode ini jumlah sampel berjumlah 192 responden yang tersebar di 96 satker pada beberapa daerah di Indoensia. Metode pengumpulan data menggunakan metode field research dengan penyebaran kuisoner dan wawancara singkat, sementara itu metode analisis yang digunakan dalam penelitian ini menggunakan analisis deskriptif kuantitatif dengan regresi linier berganda. Hasil penelitian ini menunjukkan bahwa: (1) pemahaman SAP berbasis akrual terlihat masih lemah dalam hal praktek, akan tetapi pemahaman dalam bentuk teori relatif cukup baik, kondisi tersebut terjadi hampir pada seluruh aparatur SAI Kejaksaan RI pada beberapa daerah di Indoesia, (2) latar belakang pendidikan, pelatihan setelah menjabat dan pengalaman kerja berpengaruh posistif dan signifikan secara individual terhadap tingkat pemahaman Standar Akuntansi Pemerintahan (SAP) berbasis akrual pada Kejaksaan RI.
Natural Language Processing Using Natural Language Toolkit
Year: 2016

Natural Language Processing (NLP) is an application field of Artificial Intelligence (AI) It refers to all processes that applied to text such as: tokenization, stemming, lemmatizing, and other operations. In this paper, NLP applied to English text in order to find Part Of Speech POS tagging that corresponding to the English sentence by using NLTK. The first part of any machine translation system is NLP. The source language text must be processed by applying NLP tools to produce good translation. In order to simplify the most widely used NLP operations, the built _ in toolkits has been produced. They provide modules and libraries that are easy to use and apply NLP operations. Using NLTK as an NLP tool recorded accuracy ratio of 70% with the test cases have been selected randomly. The system has been implemented on PC with WINDOWS8.1 using Python programming language.
RNA interference targeting adrenomedullin induces apoptosis and reduces the growth of human bladder urothelial cell carcinoma
Venue: Medical Oncology
Year: 2013

Adrenomedullin (ADM) is a potent, long lasting angiogenic peptide that was originally isolated from human pheochromocytoma. ADM signaling is of particular significance in endothelial cell biology because the peptide protects cells from apoptosis, and ADM has been shown to be pro tumorigenic in that it stimulates tumor cell growth and angiogenesis. ADM may be involved in micro vessel proliferation and partially in the release of hypoxia in solid tumors, contributing to the proliferation of tumor cells as well as local tumor invasion and metastasis. However, the effect of hypoxia induced ADM expression in bladder cancer remains unclear. Here, we found that the levels of ADM protein in tumor tissue from patients with bladder urothelial cell carcinoma were significantly increased compared to the adjacent non tumor bladder tissues (p 0.01) Under hypoxic conditions, the expression of ADM was significantly elevated in a time dependent manner in human bladder cancer cell lines. Furthermore, the knockdown of ADM by shRNA in T24 cells showed obvious apoptosis compared to untransfected controls (p 0.0001) In addition, the combination of cisplatin and ADM shRNA significantly reduces the tumor growth in vivo compared to treatment with cisplatin (p 0.0046) or ADM shRNA alone (p 0.0001) These data suggest that ADM plays an important role in promoting bladder cancer cell growth under hypoxia and that the inhibition of ADM may provide a target for bladder cancer therapy.
Space time Early warning of Power Grid Fault Probability by Lightning
Year: 2013

The impact of time varying lightning on electrical equipment fault probability is analyzed.Based on the information to be acquired for preventing lightning disaster,a spatial temporal variation forecast algorithm for power grid fault probability is presented.First,according to the lightning information of the current time interval,the lightning subareas are duly divided,which should be associated with the subareas in the preceding time interval.Then,according to the results,the trend of lightning fault probability in the next time interval is forecasted.The spatial temporal distributed prediction probability is used to replace the traditional average annual lightning fault probability in the method which updates the envisioned fault table of the security stability analysis software online,enables the faults with greater probability to get detailed analysis in time and realizes the integration with power system security stability analysis function.The self adaptive ability to deal with lightning disaster is added to actual projects of the blackout prevention system to improve the early warning ability.
Wearable Sensor Based Exercise Biofeedback for Orthopaedic Rehabilitation: A Mixed Methods User Evaluation of a Prototype System
Venue: Sensors
Year: 2019

The majority of wearable sensor based biofeedback systems used in exercise rehabilitation lack end user evaluation as part of the development process. This study sought to evaluate an exemplar sensor based biofeedback system, investigating the feasibility, usability, perceived impact and user experience of using the platform. Fifteen patients participated in the study having recently undergone knee replacement surgery. Participants were provided with the system for two weeks at home, completing a semi structured interview alongside the System Usability Scale (SUS) and user version of the Mobile Application Rating Scale (uMARS) The analysis from the SUS (mean 90.8 [SD 7.8] suggests a high degree of usability, supported by qualitative findings. The mean adherence rate was 79% with participants reporting a largely positive user experience, suggesting it offers additional support with the rehabilitation regime. Overall quality from the mean uMARS score was 4.1 out of 5 (SD 0.39) however a number of bugs and inaccuracies were highlighted along with suggestions for additional features to enhance engagement. This study has shown that patients perceive value in the use of wearable sensor based biofeedback systems and has highlighted the benefit of user evaluation during the design process, illustrated the need for real world accuracy validation, and supports the ongoing development of such systems.
Quels elements d'influence pour l'adoption symbolique de la securite des systemes d'information?
Year: 2018

La securite des systemes d'information s'inscrit dans la dependance croissante des entreprises envers leur SI en perspective du nombre grandissant d'incidents de securite. Dans cette recherche, nous nous interessons a la gestion des risques SI, pour laquelle la litterature souligne le manque d'implication des top managers. Nous abordons cette problematique sous l'angle de la decision des dirigeants, au travers de quatre approches theoriques modeles des perceptions manageriales des risques SI, perception des risques en psychologie, theorie neo institutionnelle et theorie sur l'adoption symbolique des innovations. L'objectif est de rendre intelligible les influences sur l'adoption symbolique de la SSI. Nous employons une methode qualitative organisee autour de 17 etudes de cas dans des entreprises d'activites variees. La SSI y est observee comme un processus de decision de gestion des risques SI. Nos resultats montrent la pertinence d'etudier la SSI selon une perspective individuelle de gestion des risques. D'une part, les caracteristiques de l'evaluation psychologique des risques eclairent les biais pour la gestion du risque SI. D'autre part, l'etude de ces biais apporte une perspective nouvelle sur la comprehension de l'investissement des top managers pour la SSI. Nous montrons l'insensibilite des top managers a l'exposition du risque, une preference a aborder les risques sous l'angle des menaces. Aussi, nous exposons les influences qui contribuent a adopter une SSI technique et non manageriale pourtant suggeree dans la litterature. Enfin, notre analyse fait emerger des perspectives pour prolonger la comprehension d'une SSI reactive, decriee par les auteurs en SSI.
Do users rate or review? boost phrase level sentiment labeling with review level sentiment classification
Venue: SIGIR
Year: 2014

Current approaches for contextual sentiment lexicon construction in phrase level sentiment analysis assume that the numerical star rating of a review represents the overall sentiment orientation of the review text. Although widely adopted, we find through user rating analysis that this is not necessarily true. In this paper, we attempt to bridge the gap between phrase level and review/document level sentiment analysis by leveraging the results given by review level sentiment classification to boost phrase level sentiment polarity labeling in contextual sentiment lexicon construction tasks, using a novel constrained convex optimization framework. Experimental results on both English and Chinese reviews show that our framework improves the precision of sentiment polarity labeling by up to 5.6% which is a significant improvement from current approaches.
Diglosia antara Bahasa Jawa dan Sunda (Study Kasus Masyarakat Bahasa Kecamatan Lemah Abang Kabupaten Cirebon)
Venue: Jurnal Inovasi Pendidikan MH Thamrin
Year: 2019

Diglosia merupakan fenomena masyarakat yang menggunakan dua bahasa dalam kehidupan seharihari. Diglosia hampir mirip dengan bilingual akan tetapi diglosia berdasarkan teori Fishman memiliki tarap bahasa tinggi dan bahasa rendah. Penelitian yang dilakukan di kecamatan Lemah Abang Kabupaten Cirebon Jawa Barat merupakan penelitian deskriptif terhadap diglosia bahasaJawa dan Sunda di masyarakat pengguna bahasa Lemah Abang. Penelitian ini menggunakan metode Kualitatif dengan pendekatan Fenomologi. Penelitian inimenjabarkan keadaan bahasa Jawa dan Sunda yang terdapat pada masyarakat kecamatan Lemah Abang dalam kehidupan sehari hari. Analisa diglosia yang digunakan oleh penulis menggunakan teori Ferguson, yakni Fungsi, Prestise, Pemerolehan, Standardisasi, Stabilitas, Gramatika, Leksikon, dan Fonologi.Hasil penelitian ini menunjukan bahwa pertama bahasa jawa digunakan oleh masyarakat kecamatan Lembah Aban lebih banyak digunakan pada saat transaksi perdagangan dan bisnis lainya. Kedua, ada garis teritorial bahasa pada kecamatan Lembah Abang, desa lemah abang mayoritas bahasa yang digunakan adalah jawa sedangkan desa Sindang Laut dan Asem adalah bahasa Sunda. Ketiga, masyarkat yang bahasa ibunya dalah bahasa sunda hampir masyarakatnya mampu menggunakan bahasa jawa dengan aksen dan itonasi mirip dengan pengguna bahasa jawa sebagai bahasa ibu. Sedangkan masyarakat bahasa jawa ketika menggunakan bahasa sunda terkendala dengan aksen danintonasinya.
Mary Shelley's Frankenstein: scientific breakthrough precipitates post traumatic stress disorder the literary first psychiatry in literature
Venue: The British Journal of Psychiatry
Year: 2020

19 Vallieres F, Ceannt R, Daccache F, Daher A, Sleiman J, Gilmore B, et al. ICD 11 PTSD and complex PTSD amongst Syrian refugees in Lebanon: the factor structure and the clinical utility of the International Trauma Questionnaire. Acta Psychiatr Scand 2018; 138(6) 547 57. 20 Gray MJ, Litz DT, Hsu JL, Lombardo TW. Psychometric properties of the life events checklist. Assessment 2004; 11(4) 330 41.
Deep Metric Learning for Person Re identification
Venue: 2014 22nd International Conference on Pattern Recognition
Year: 2014

Various hand crafted features and metric learning methods prevail in the field of person re identification. Compared to these methods, this paper proposes a more general way that can learn a similarity metric from image pixels directly. By using a "siamese" deep neural network, the proposed method can jointly learn the color feature, texture feature and metric in a unified framework. The network has a symmetry structure with two sub networks which are connected by a cosine layer. Each sub network includes two convolutional layers and a full connected layer. To deal with the big variations of person images, binomial deviance is used to evaluate the cost between similarities and labels, which is proved to be robust to outliers. Experiments on VIPeR illustrate the superior performance of our method and a cross database experiment also shows its good generalization.
What Twin Studies Tell Us About the Heritability of Brain Development, Morphology, and Function: A Review
Venue: Neuropsychology Review
Year: 2015

The development of brain structure and function shows large inter individual variation. The extent to which this variation is due to genetic or environmental influences has been investigated in twin studies using structural and functional Magnetic Resonance Imaging (MRI) The current review presents an overview of twin studies using MRI in children, adults and elderly, and focuses on cross sectional and longitudinal designs. The majority of the investigated brain measures are heritable to a large extent (60 80 although spatial differences in heritability are observed as well. Cross sectional studies suggest that heritability estimates slightly increase from childhood to adulthood. Long term longitudinal studies are better suited to study developmental changes in heritability, but these studies are limited. Results so far suggest that the heritability of change over time is relatively low or absent, but more studies are needed to confirm these findings. Compared to brain structure, twin studies of brain function are scarce, and show much lower heritability estimates ~40 The insights from heritability studies aid our understanding of individual differences in brain structure and function. With the recent start of large genetic MRI consortia, the chance of finding genes that explain the heritability of brain morphology increases. Gene identification may provide insight in biological mechanisms involved in brain processes, which in turn will learn us more about healthy and disturbed brain functioning.
Earth Image Classification Design Using Unmanned Aerial Vehicle
Year: 2015

The research aims to build software that can perform the classification of earth image from UAV (Unmanned Aerial Vehicle) monitoring. The Image converted into YUV format then classified using Fuzzy Support Vector Machine (FSVM) UAVs will be used for monitoring as follows: (1) the control station, which used to send or receive data, and display the data in graphical form, (2) payload, camera captured images and send to the control station, (3) communication system using TCP/IP protocol, and (4) UAV, using X650 quad copter products. The image of the monitoring carried out on the UAV sized 256 x 256 pixels with 450 training data. It is 16x16 pixel image data. Tests performed to classify the image into 3 classes, namely agricultural area, residential area, and water area. The highest accuracy value of 77.69% obtained by the number of training data as much as 375.
The Sound and Smell of Suffering
Venue: Banned Emotions
Year: 2019

Despite cultural pressures to "suck up" one's pain, some rebellious literary characters make their suffering known. In E. M. Forster's A Room with a View, the aging spinster Charlotte Bartlett makes her unhappiness audible through well timed sighs. Forster represents his characters' emotions through metaphors of frozen or flowing water, darkness and sunlight, and rushing electric trams. In Virginia Woolf's Mrs. Dalloway, history tutor Doris Kilman resents her unjust dismissal from school due to her Germanic background. Woolf describes Doris's emotions through metaphors of awkward movements, sensations of bursting, and bad smells. Doris and Charlotte make sure that the more prosperous, conventional characters in these novels can see, hear, and smell their unhappiness. By making their misery known, they remind readers of the injustice in societies where the main characters are enjoying privileges that others do not.
UAV Data Processing for Large Scale Topographical Mapping
Year: 2014

Large scale topographical mapping in the third world countries is really a prominent challenge in geospatial industries nowadays. On one side the demand is significantly increasing while on the other hand it is constrained by limited budgets available for mapping projects. Since the advent of Act Nr.4/yr.2011 about Geospatial Information in Indonesia, large scale topographical mapping has been on high priority for supporting the nationwide development e.g. detail spatial planning. Usually large scale topographical mapping relies on conventional aerial survey campaigns in order to provide high resolution 3D geospatial data sources. Widely growing on a leisure hobby, aero models in form of the so called Unmanned Aerial Vehicle (UAV) bring up alternative semi photogrammetric aerial data acquisition possibilities suitable for relatively small Area of Interest (AOI) i.e. <5,000 hectares. For detail spatial planning purposes in Indonesia this area size can be used as a mapping unit since it usually concentrates on the basis of sub district area (kecamatan) level. In this paper different camera and processing software systems will be further analyzed for identifying the best optimum UAV data acquisition campaign components in combination with the data processing scheme. The selected AOI is covering the cultural heritage of Borobudur Temple as one of the Seven Wonders of the World. A detailed accuracy assessment will be concentrated within the object feature of the temple at the first place. Feature compilation involving planimetric objects (2D) and digital terrain models (3D) will be integrated in order to provide Digital Elevation Models (DEM) as the main interest of the topographic mapping activity. By doing this research, incorporating the optimum amount of GCPs in the UAV photo data processing will increase the accuracy along with its high resolution in 5 cm Ground Sampling Distance (GSD) Finally this result will be used as the benchmark for alternative geospatial data acquisition in the future in which it can support national large scale topographical mapping program up to the 1:1.000 map scale.
Une approche BPM (Business Process Managment) par composition d'applications dans le cloud computing
Year: 2015

Le Cloud Computing est apparu comme un nouveau terme informatique qui concerne a fournir des environnements informatiques fiables, particularises et dynamiques base sur une meilleure qualite de service et disponibilite de l'infrastructure sans charge financier beaucoup Le cloud computing est devenu un domaine de recherche tres actif, avec l'emergence de la gestion des processus metier (BPM) dans le cloud, plusieurs enjeux et difficultes sont apparus notamment ce que concerne la composition d'applications, l'application composite resultante a voir acces et de piloter et synchroniser les tache d'un processus metier d'acceder localement a des donnees ou a des ressources initialement distantes pour effectuer le traitement necessaire pour le deroulement des processus metier L'idee de faire integrer des applications ou des services reste une alternative prometteuse pour le developpement de processus industriel tres performant Cette memoire explore le cloud computing sous differents aspects Ainsi, il est tres utile de penser a exploiter des approches pour le BPM (Business Process Managment) par composition d'applications dans le cloud computing. Il s'agit principalement de permettre l'acces a une infrastructure de Cloud pour creer et partager simplement les differents algorithmes d'applications