nils-herrmann/clean_scirepeval huggingface dataset:
Simulation. Testing and Implementation of a Phase Locked Loop Used to Control a PV Micro Inverter
Venue: 2017 International Renewable and Sustainable Energy Conference (IRSEC)
Year: 2017

Phase, amplitude and frequency of the utility grid are critical parameters for the operation of the grid connected power conditioning equipments. In such applications, an accurate and fast detection of the phase angle of the utility voltage is essential to insure a correct generation of the reference signals. This paper mainly focuses on the simulation, test and the implementation of a specific Phase Locked Loop "inverse Park transformation PLL" that is used to control a PV Micro Inverter. The improvement consists of better harmonics filtering. Experimental results validate the effectiveness of the proposed method. This work is performed in the framework of Micro Inverter PV Project funded by the Research Institute for Solar Energy and New Energies (IRESEN)
Kronecker Graphs: An Approach to Modeling Networks
Venue: J. Mach. Learn. Res.
Year: 2010

How can we generate realistic networks? In addition, how can we do so with a mathematically tractable model that allows for rigorous analysis of network properties? Real networks exhibit a long list of surprising properties: Heavy tails for the in and out degree distribution, heavy tails for the eigenvalues and eigenvectors, small diameters, and densification and shrinking diameters over time. Current network models and generators either fail to match several of the above properties, are complicated to analyze mathematically, or both. Here we propose a generative model for networks that is both mathematically tractable and can generate networks that have all the above mentioned structural properties. Our main idea here is to use a non standard matrix operation, the Kronecker product, to generate graphs which we refer to as "Kronecker graphs" First, we show that Kronecker graphs naturally obey common network properties. In fact, we rigorously prove that they do so. We also provide empirical evidence showing that Kronecker graphs can effectively model the structure of real networks. We then present KRONFIT, a fast and scalable algorithm for fitting the Kronecker graph generation model to large real networks. A naive approach to fitting would take super exponential time. In contrast, KRONFIT takes linear time, by exploiting the structure of Kronecker matrix multiplication and by using statistical simulation techniques. Experiments on a wide range of large real and synthetic networks show that KRONFIT finds accurate parameters that very well mimic the properties of target networks. In fact, using just four parameters we can accurately model several aspects of global network structure. Once fitted, the model parameters can be used to gain insights about the network structure, and the resulting synthetic graphs can be used for null models, anonymization, extrapolations, and graph summarization.
Which epistemics? Whose conversation analysis?
Year: 2018

In a Special Issue of Discourse Studies (2016) titled 'The Epistemics of Epistemics' contributing authors criticize Heritage's research on participants' orientations to, and management of, the distribution of (rights to) knowledge in conversation. These authors claim (a) that the analytic framework Heritage (and I) developed for analyzing epistemic phenomena privileges the analysts' over the participants' point of view, and (b) rejects standard methods of conversation analysis (CA) (c) that (a) and (b) are adopted in developing and defending the use of abstract analytic schemata that offer little purchase on either the specific actions speakers accomplish or the understanding others display of them; and (d) that, by virtue of these deficiencies, claims about the systematic relevance of epistemic phenomena for talk in interaction breach long standing norms regarding the relationship between data analysis and generalizing claims. Using a collection of excerpts bearing on the import of epistemics for action formation and action sequencing, I demonstrate that these claims are patently false and suggest that they reflect the authors' effort to recast CA as a kind of fundamentalist enterprise. I then consider excerpts from a second collection (of occasions involving the pursuit of one party's 'suspicions' about another's alleged misdeeds) to illustrate how the form of social organization described by Heritage can be used to explicate other phenomena that depend on systematic alterations to its basic features. In conclusion, I suggest that CA's success in enhancing our grasp of the organization of talk in interaction derives from its unique commitment to both generalization and context specificity, collections and single cases, findings plus a continual openness to the 'something more' that each particular case can provide.
Mobile learning and pedagogical opportunities: A configurative systematic review of PreK 12 research using the SAMR framework
Venue: Comput. Educ.
Year: 2020

Scholars postulate that mobile devices can be used to transform learning. However, there is a paucity of evidence to determine if mobile learning is redefining learning or if these devices are being used to replicate past teaching practices. To fill this gap in scholarly understanding, this systematic review was conducted to examine studies from 2014 to 2019 involving mobile devices in PK 12 (2 18 years) learning. Technology use was coded using the Substitution, Augmentation, Modification, and Redefinition (SAMR) framework. This framework was empirically extended and presented in this study. The data revealed unique findings, including the concerning discovery that while mobile technologies can and were used to transform learning in 54% of the studies, 46% of the time devices were used to replicate activities that can be conducted without technology. This has larger implications on school integration of mobile devices and whether these devices are being used to redefine learning to provide the most benefit to PK 12 students.
Influence of Competence and Customer Service Motivation on the Performance of the Bank Syariah Mandiri Remittance Business Unit
Venue: PINISI Discretion Review
Year: 2019

Customer service plays an important role as the frontline in achieving the remittance business unit target. Bank Syariah Mandiri must be able to guarantee that customer service has adequate competence and high motivation in serving customers. This study aims to analyze the effect of competence and motivation of customer service on the performance of the remittance business unit. The object of research is 124 customer service in the region II Bank Syariah Mandiri. The method used in this study is Ordinary Least Square (OLS) on the SPSS 21 program. The results of this study indicate that the variable of competence and customer service motivation has a positive and significant impact on the performance of the remittance business unit.
Electric chain hoist with adjustable clutch
Year: 2013

The utility model relates to the technical field of electric hoists, and discloses an electric chain hoist with an adjustable clutch. The electric chain hoist with the adjustable clutch overcomes the shortcomings in the prior art, and comprises a motor rotor shaft and a driving gear shaft. The rotor is shaft connected with the driving gear shaft through a friction plate and a load limiting coupling sleeve. The electric chain hoist with the adjustable clutch further comprises a disc spring installed between the rotor shaft and the friction plate. The disc spring is controlled and adjusted through an adjusting nut installed on the end portion of the rotor shaft. According to the electric chain hoist with the adjustable clutch, the safety clutch is arranged additionally, and therefore the safety protection function of equipment is provided, the failure rate of the equipment is lowered, cost is lowered and efficiency is improved. The load limiting clutch can be adjusted at any time, and is convenient to use and practical. The electric chain hoist with the adjustable clutch can be bought as a whole, and therefore the cost is lowered.
Gender Trouble in Conan Doyle's "The Adventure of the Solitary Cyclist"
Year: 2016

Although the Victorian period was a time when the sexes were assigned distinct and complementary roles, these rigid gender role divisions between the two sexes were beginning to dissolve as the nineteenth century was drawing to its close. Among the various factors that contributed to bringing the two genders closer was the cycling boom of the 1890s, and the first wave feminists embraced the bicycle as a freedom machine and symbol of emancipation. Despite the fact, though, that cycling functioned at first as a gender equaliser, it eventually segregated the sexes, as social norms promoted the idea of gendered cycling and enforced a model of domesticated or feminised cycling for women. This essay aims to explore how Arthur Conan Doyle's 1895 story "The Adventure of the Solitary Cyclist" reflects this complicated impact that cycling had on gender segregation and the possibilities it offered for gender fusion as well as the alternative expressions of sexuality it enabled.
Active co analysis of a set of shapes
Venue: ACM Trans. Graph.
Year: 2012

Unsupervised co analysis of a set of shapes is a difficult problem since the geometry of the shapes alone cannot always fully describe the semantics of the shape parts. In this paper, we propose a semi supervised learning method where the user actively assists in the co analysis by iteratively providing inputs that progressively constrain the system. We introduce a novel constrained clustering method based on a spring system which embeds elements to better respect their inter distances in feature space together with the user given set of constraints. We also present an active learning method that suggests to the user where his input is likely to be the most effective in refining the results. We show that each single pair of constraints affects many relations across the set. Thus, the method requires only a sparse set of constraints to quickly converge toward a consistent and error free semantic labeling of the set.
Do theatre staff use face masks in accordance with the manufacturers' guidelines of use?
Venue: Journal of infection prevention
Year: 2019

Surgical face masks are worn by theatre staff to protect the surgical site from airborne contamination and the wearer from bodily fluid splash. This observational/audit aimed to assess whether theatre staff wear masks in accordance with manufacturers'/Centers for Disease Control and Prevention (CDC) guidelines of use.  A total of 1034 surgically scrubbed staff were assessed on their technique of applying surgical face masks, compared to the CDC guidelines as manufacturers' guidelines were not available as per Health and Safety Executive guidelines.  Only 18% of surgically scrubbed staff fully complied with the CDC guidelines on the application of a face mask. Compliance was worst in urology, ophthalmology and vascular surgeons, whereas orthopaedic and plastic surgeons were the most compliant.  Compliance with CDC face mask guidelines may have an impact on surgical site infections (SSI) and protection of staff from body fluid splash, but most staff do not comply with these guidelines.  Most operating theatre staff do not apply a face mask using correct technique, outlined in CDC guidance, which may increase SSI rates. Staff are not aware of existing guidelines for donning a mask.
The Bright Side of the Human Personality: Evidence of a Measure of Prosocial Traits
Year: 2021

The present article aimed to elaborate the Prosocial Personality Inventory (PSPI+ gathering evidence of its validity (factorial and criterion) and reliability. Six traits were hypothesized, grouped into three first order factors: altruism (beneficence and egotism) forgiveness (remission and incrimination) and gratitude (recognition and inexpressiveness) Two studies were carried out (n 1033) This factor structure was identified in Study 1 and confirmed in Study 2. Overall, all factors presented Cronbach's alpha of .70 or higher. Systematically, positive and negative aspects of prosocial traits were correlated with agreeableness and dark traits. Moreover, such bright traits were positively correlated with self reported pro social behavior. In conclusion, the PSPI+ is a short, theoretically and psychometrically sounds instrument for measuring prosocial personality (altruism, forgiveness, and gratitude) useful for studies focusing on correlates of bright personality (e.g. well being, voluntarism)
Initial Development and Validation of a Patient Reported Symptom Survey for Small Fiber Polyneuropathy.
Venue: The journal of pain official journal of the American Pain Society
Year: 2017

Small fiber polyneuropathy (SFPN) affects unmyelinated and thinly myelinated peripheral axons. Several questionnaires have been developed to assess polyneuropathy from diabetes or chemotherapy, but none for SFPN from other or unknown causes. A comprehensive survey could help clinicians diagnose and assess treatment responses, define prevalence natural history and cures, and identify research subjects. Thus, we developed the 1 page Small Fiber Symptom Survey, using input from patients and 21 medical/scientific experts. Participants comprised consenting consecutive patients evaluated for SFPN at the Massachusetts General Hospital plus normal control subjects. Participants SFPN status was stratified on the basis of the results of their objective diagnostic tests (distal leg skin biopsy and autonomic function testing) We measured internal consistency, test retest reliability, convergent validity, and performed a receiver operating curve analysis. The 179 participants averaged 46.6 15.6 years old; they were 73.2% female and 92.2% Caucasian. Eighty five had confirmed SFPN, mostly idiopathic. Principal component analysis revealed 5 symptom clusters. The questionnaire had good internal consistency (Cronbach a .893) excellent test retest reliability (r .927, P .001) and good to fair convergent validity. Participants with confirmed SFPN had more severe symptoms than others (P .009) The Small Fiber Symptom Survey has satisfactory psychometric properties, indicating potential future utility for surveying patient reported symptoms of SFPN regardless of its cause.  This article reports the initial development and early psychometric validation of a new patient reported outcome measure intended to capture the wide range of multisystem symptoms of SFPN. When further developed, it could potentially help clinicians diagnose and monitor patients, and help advance research.
Two white sponge nevus in a single family: case report
Year: 2020

White Sponge Nevus (WSN) is a leukokeratosis characterized by white lesions of the oral mucosa. These lesions are bilateral, thickened and raised compared to the adjacent mucosa. Their aspect are folded and spongy. It is a benign disorder with asymptomatics lesions which often appear during the childhood or the adolescence. The interest of this case report is that the diagnostic of WSN had been established directly, thanks to the presence of the patient's father.  A twelve years old patient was examined in the unity of the oral mucosa pathology and oro facials pain, of the oral surgery service of Bordeaux hospital (CHU de Bordeaux, France) He presented typical WSN lesions. His father was examined and presented the same lesions.  Diagnostic of WSN is mainly a clinical examination. There are a lot of differential diagnosis, and leukoplakia is the principal. In case of doubt about the diagnostic, a histological examination can be done. Nowadays, there is no consensus about the therapeutic. But the lesions are mainly asymptomatics, so any treatment has to be planed.  An early WSN diagnosis avoids to patients a non adapted treatment and reassures young patients and their parents.
Multi sensor personal navigator supported by adaptive knowledge based system: Performance assessment
Venue: 2008 IEEE/ION Position, Location and Navigation Symposium
Year: 2008

The prototype of a personal navigator, which integrates Global Positioning System (GPS) tactical grade inertial measurement unit (IMU) digital barometer, magnetometer, and human pedometry to support navigation and tracking of military and rescue ground personnel has been developed at The Ohio State University Satellite Positioning and Inertial Navigation (SPIN) Laboratory. This paper discusses the design, implementation and performance assessment of the prototype, with a special emphasis on dead reckoning (DR) navigation supported by a human locomotion model. The primary components of the human locomotion model are step frequency (SF) extracted from GPS timed impact micro switches placed on the shoe soles of the operator, step length (SL) and step direction (SD) both determined by predictive models derived by the adaptive knowledge based system (KBS) SL KBS is based on Artificial Neural Networks (ANN) and Fuzzy Logic (FL) and is trained a priori using sensory data collected by various operators in various environments during GPS signal reception. An additional KBS module, in the form of a Kalman Filter (KF) is used to improve the heading information (SD) available from the magnetometer and gyroscope under GPS denied conditions, as well as to integrate the DR parameters to reconstruct the trajectory based on SL and SD. The current target accuracy of the system is 3 5 m CEP (circular error probable, 50% This paper provides a performance analysis in the indoor and outdoor environments for two different operators. The systempsilas navigation limitation in DR mode is tested in terms of time and trajectory length to determine the upper limit of indoor operation before the need for re calibration.
Kajian Hubungan Curah Hujan Dengan Produktivitas Tanaman Pisang Mas Kirana (Musa Acumunata) di Kabupaten Lumajang
Year: 2020

Pisang di Indonesia memiliki hasil produksi tertinggi dengan produksi sebesar 6.862.558 ton atau sekitar 34,65 persen dari total produksi buah di Indonesia, memberikan kontribusi terbesar terhadap produksi buah nasional. Meningkatnya suhu permukaan bumi yang disebabkan oleh meningkatnya gas emisi rumah kaca merupakan salah satu penyebab terjadinya perubahan iklim. Dampak yang disebabkan oleh perubahan ikilm dapat mengubah segala aspek dari kebutuhan manusia terutama pangan atau dalam bidang pertanian, salah satu dampak negatif adalah dapat menurunan produksi tanaman khususnya tanaman pisang. Penelitian ini bertujuan untuk mengetahui hubungan antara curah hujan dengan produktivitas tanaman pisang Mas Kirana di beberapa sentra produksi di Kabupaten Lumajang. Penelitian dilaksanakan pada bulan Juli hingga September 2019 di sentra produksi pisang di Kecamatan Senduro, Kecamatan Pasrujambe dan Kecamatan Gucialit Kabupaten Lumajang, Jawa Timur. Metode penelitian yang digunakan adalah metode penelitian kuantitatif dengan menerapkan metode observasi dan survei. Data yang digunakan dalam penelitian ini berupa data primer dan data sekunder. Data primer diperoleh dari hasil wawancara dengan petani. Data sekunder yang dibutuhkan adalah produktivitas Pisang Mas Kirana di Kabupaten Lumajang dari Dinas Pertanian Kabupaten Lumajang dan data iklim diperoleh dari BMKG Karangploso. Data primer digunakan untuk mendeskripsikan keadaan umum daerah penelitian. Analisis korelasi digunakan dalam pengolahan data sekunder untuk mengetahui hubungan antara iklim (curah hujan, bulan basah, bulan kering dan har hujan) dengan produktivitas Pisang Mas Kirana. Berdasarkan hasil analisa menjelaskan bahwa produktivitas Pisang Mas Kirana di Kabupaten Lumajang tidak memiliki hubungan yang signifikan dengan unsur iklim curah hujan, hari hujan, bulan basah dan bulan kering
Targeting and Reprograming Cancer Associated Fibroblasts and the Tumor Microenvironment in Pancreatic Cancer
Venue: Cancers
Year: 2021

Simple Summary The tumor microenvironment plays a major role in the progression and drug resistance of pancreatic cancer. Cancer associated fibroblasts are the major stromal cells and source of extracellular matrix proteins forming the dense stromal tumor microenvironment. Targeting cancer associated fibroblasts has been deemed a promising therapeutic strategy. However, depleting cancer associated fibroblasts may also have tumor promoting effects due to their functional heterogeneity. It is therefore important to target selectively the tumor promoting subtype of cancer associated fibroblasts. Furthermore, deactivating fibroblasts, or reprograming tumor promoting cancer associated fibroblasts to tumor restraining cancer associated fibroblasts are considered as therapy for pancreatic cancer.  Pancreatic cancer is the fourth leading cause of cancer deaths in the United States both in female and male, and is projected to become the second deadliest cancer by 2030. The overall five year survival rate remains at around 10% Pancreatic cancer exhibits a remarkable resistance to established therapeutic options such as chemotherapy and radiotherapy, due to dense stromal tumor microenvironment. Cancer associated fibroblasts are the major stromal cell type and source of extracellular matrix proteins shaping a physical and metabolic barrier thereby reducing therapeutic efficacy. Targeting cancer associated fibroblasts has been considered a promising therapeutic strategy. However, depleting cancer associated fibroblasts may also have tumor promoting effects due to their functional heterogeneity. Several subtypes of cancer associated fibroblasts have been suggested to exhibit tumor restraining function. This review article summarizes recent preclinical and clinical investigations addressing pancreatic cancer therapy through targeting specific subtypes of cancer associated fibroblasts, deprogramming activated fibroblasts, administration of mesenchymal stem cells, as well as reprogramming tumor promoting cancer associated fibroblasts to tumor restraining cancer associated fibroblasts. Further, inter cellular mediators between cancer associated fibroblasts and the surrounding tissue microenvironment are discussed. It is important to increase our understanding of cancer associated fibroblast heterogeneity and the tumor microenvironment for more specific and personalized therapies for pancreatic cancer patients in the future.
Recommending Accurate and Diverse Items Using Bilateral Branch Network
Venue: ArXiv
Year: 2021

Recommender systems have played a vital role in online platforms due to the ability of incorporating users' personal tastes. Beyond accuracy, diversity has been recognized as a key factor in recommendation to broaden user's horizons as well as to promote enterprises' sales. However, the trading off between accuracy and diversity remains to be a big challenge, and the data and user biases have not been explored yet. In this paper, we develop an adaptive learning framework for accurate and diversified recommendation. We generalize recent proposed bi lateral branch network in the computer vision community from image classification to item recommendation. Specifically, we encode domain level diversity by adaptively balancing accurate recommendation in the conventional branch and diversified recommendation in the adaptive branch of a bilateral branch network. We also capture user level diversity using a two way adaptive metric learning backbone network in each branch. We conduct extensive experiments on three real world datasets. Results demonstrate that our proposed approach consistently outperforms the state of theart baselines.