nils-herrmann/clean_scirepeval huggingface dataset:
Does developmental prosopagnosia impair identification of other ethnicity faces?
Venue: Cortex
Year: 2019

Current approaches to the diagnosis of developmental prosopagnosia emphasise the perception and identification of same ethnicity faces. This convention ensures that perceptual impairment arising from developmental prosopagnosia can be distinguished from problems arising from a lack of visual experience with particular facial ethnicities the so called 'Other Ethnicity Effect' The present study sought to determine whether the perceptual difficulties seen in developmental prosopagnosia diagnosed using same ethnicity faces extend to other ethnicity faces. First, we sought to determine whether a group of Caucasian developmental prosopagnosics (N 15) and typical Caucasian controls (N 30) had similar experience with same and other ethnicity faces during development. All participants therefore completed a contact questionnaire that enquired about their experience of Caucasian, Black, and East Asian faces, at different developmental stages. Importantly, the two groups described very similar levels of visual experience with other ethnicity faces. Second, we administered a sequential matching task to measure participants' ability to discriminate same (Caucasian) and other ethnicity (Black, East Asian) faces. Relative to the experience matched controls, the prosopagnosics were less accurate at discriminating both same and other ethnicity faces, and we found no evidence of disproportionate impairment for same ethnicity faces. Given that the prosopagnosics and controls had similar opportunity to develop visual expertise for other ethnicity faces, these results indicate that developmental prosopagnosia impairs recognition of both same and other ethnicity faces. The fact that developmental prosopagnosia affects the perception of both same and other ethnicity faces suggests that different facial ethnicities engage similar visual processing mechanisms. Our findings support the view that susceptibility to developmental prosopagnosia, and a lack of contact with other ethnicity faces, contribute independently to the poor recognition of other ethnicity faces.
Assessing and Promoting Cultural Relativism in Students of Counseling
Year: 2012

Multicultural counseling is often promoted as a core element in counselor development. As such, educational efforts aim to increase counselors' cultural relativism, or their ability to recognize their own enculturation and to appreciate the value of other cultural norms. This mixed qualitative quantitative study explored the relationship between counselor and human service professional trainees' moral development levels and their cultural assumptions after they had experienced a course in cultural diversity. Four themes were noted: (i) reflexivity about culture, (ii) orientation toward activism and advocacy, (iii) differences in attitudes toward sexual orientation and religion, and (iv) increased alertness to culture. Implications for culturally alert practice are discussed.
Deep Learning Models for Medical Image Analysis: Challenges and Future Directions
Venue: BDA
Year: 2019

Artificial neural network (ANN) introduced in the 1950s, is a machine learning framework inspired by the functioning of human neurons. However, for a long time the ANN remained inadequate in solving real problems, because of the problems of overfitting and vanishing gradient while training a deep architecture, dearth of computation power, and non availability of enough data for training the framework. This concept has lately re emerged, in the form of Deep Learning (DL) which initially developed for computer vision and became immensely popular in several other domains. It gained traction in late 2012, when a DL approach i.e. convolutional neural network won in the ImageNet Classification an acclaimed worldwide computer vision competition. Thereafter, researchers in practically every domain, including medical imaging, started vigorously contributing in the massively progressing field of DL. The success of DL methods can be owed to the availability of data, boosted computation power provided by the existing graphics processing units (GPUs) and ground breaking training algorithms. In this paper, we have overviewed the area of DL in medical imaging, including (1) machine learning and DL basics, (2) cause of power of DL, (3) common DL models, (4) their applications to medical imaging and (5) challenges and future work in this field.
Lysenko Unemployed: Soviet Genetics after the Aftermath
Venue: Isis
Year: 2018

The history of the so called Lysenko affair the domination of Soviet biology by the agronomist Trofim Denisovich Lysenko and the state sanctioned proscription of genetics from 1948 to 1965 has for decades generated widespread political and historical interest as a textbook example of political distortion of science. Building on archival sources from the United States and Russia, this essay resituates the "ending" of this episode within the context of the Soviet science system, arguing against the prevalent "rise and fall" narrative. This reperiodization of the Lysenko episode allows an inquiry into how history and historiography mutually construct each other, as well as highlighting the significance of disestablishing discarded scientific institutions along with theories.
Saying It with Songs: Popular Music and the Coming of Sound to Hollywood Cinema
Year: 2016

Saying It with Songs: Popular Music and the Coming of Sound to Hollywood Cinema is a detailed history of the integration of music within film during the 1920s and early 1930s. Dr. Katherine Spring takes a unique approach, examining both the economic implications of including music in film and the impact of the use of songs on the narrative in 'non musical' films. Saying It with Songs details the pursuits and changes of the film industry from 1927 to 1931, which Spring notes is rarely studied. Citing the lack of research that combines the economic drive for including music in film and the use of songs as storytelling tools, Spring takes a scholarly approach to focus on an admittedly narrow time period to explore the intersection between economic and narrative pressures. Spring's well written work is accessible and enlightening to audiences from film buffs to neophytes alike and is strengthened by the thoroughness of her research. The text is separated into two parts; each section follows a logical process by focusing on a specific aspect of film, commerce or storytelling, and describing the history chronologically. Part 1 discusses the economic functions and convergence of film and music, while Part 2 highlights changes in the use of song within film as a function of storytelling. The first portion of the book details shifts in the operation of both the film and music industries. In the 1920s, to reduce the costs of including music in film, film companies began purchasing music production companies and employing songwriters directly. In addition, filmmakers increased their profits by focusing on crosspromotion of both the songs produced for films and the films themselves. Advertising specific songs on the radio as part of a film, as records, and as purchasable sheet music, allowed companies to make more money because consumers purchased both the music and tickets to see the film. The cyclic nature of movie ticket and music sales increased the popularity of a song through radio promotion and led to increases in movie ticket sales, which in turn increased the popularity of the song, and so on. Moreover, costs for theatre owners decreased as they no longer had to pay for live accompaniment. This shift also made music in film more accessible to the masses who could see films with prerecorded sound, thereby eliminating the need to travel to large theatres that could incorporate orchestral accompaniment. Songs were also promoted by emphasizing the connections between celebrities and the songs they sang in movies. Consumers liked the stars and then purchased the records and/or sheet music, which increased the profits for movie studios. Following her explanation of the general trends and changes to the economic drive behind music in film, Spring includes numerous detailed accounts of specific films and examples that support her argument regarding the impact of the pursuit of capitalism in the integration of recorded sound in film. Reviews Canadian Journal of Communication, Vol 41 (4)
Learning to Count Objects in Natural Images for Visual Question Answering
Venue: ICLR
Year: 2018

Visual Question Answering (VQA) models have struggled with counting objects in natural images so far. We identify a fundamental problem due to soft attention in these models as a cause. To circumvent this problem, we propose a neural network component that allows robust counting from object proposals. Experiments on a toy task show the effectiveness of this component and we obtain state of the art accuracy on the number category of the VQA v2 dataset without negatively affecting other categories, even outperforming ensemble models with our single model. On a difficult balanced pair metric, the component gives a substantial improvement in counting over a strong baseline by 6.6%
KARANG TARUNA, AGEN PERUBAHAN DAN PENGEMBANGAN MASYARAKAT DI PANDEGLANG
Venue: Sosio Konsepsia
Year: 2019

Peran pemuda sangat penting sebagai agen perubahan dalam pengembangan masyarakat. Karang Taruna yang tumbuh di desa/kelurahan, merupakan wahana bagi pemuda untuk memperlihatkan berbagai peran mereka. Karang Taruna hadir dalam upaya memenuhi harapan masyarakat untuk menanggulangi permasalahan sosial, khususnya permasalahan yang terjadi pada pemuda. Karena peran strategisnya itu, maka Kementerian Sosial RI menempatkan Karang Taruna sebagai salah satu pilar sosial dalam penyelenggaraan kesejahteraan sosial. Penelitian ini dilakukan untuk mendeskripsikan peran Karang Taruna Sukajadi sebagai agen perubahan dalam pengembangan masyarakat. Data dan informasi dikumpulkan melalui studi dokmentasi dan wawancara dengan pengurus Karang Taruna, tokoh masyarakat, aparat desa, instansi pemerintah dan penerima layanan. Hasi menelitian, bahwa Karang Taruna Sukajadi telah melaksanakan berbagai peran sebagai agen perubahan dalam pengembangan masyarakat, dengan melaksanakan kegiatan di bidang sosial, seperti: bantuan pendidikan anak yatim, bantuan kebutuhan pokok bagi orang miskin, dan perbaikan rumah bagi keluarga miskin, pencegahan penyalahgunaan narkoba dan pembinaan preman jalanan, pelestarian budaya melalui peletarian kesenian lokal. Kemudian di bidang ekonomi, bekerja sama dengan sebuah cafe untuk pemasaran kopi bakar. Meskipun demikian, berbagai peran tersebut masih perlu dioptimalkan melalui peningkatan kapasitas anggota Karang Taruna.  Karang Taruna, agen perubahan, pengembangan masyarakat.
Horse chestnut (Aesculus hippocastanum L. seed fatty acids, flavonoids and heavy metals plasticity to different urban environments
Year: 2020

Horse chestnut (Aesculus hippocastanum L. is a deciduous tree which is widely used on urban green spaces in Serbia. Also, the seed of horse chestnut is an important raw material in pharmaceutical industry, owing to its medicinal properties. In this study, the content of fatty acids, flavonoids, aescin and heavy metals in seeds of 11 horse chestnut genotypes growing in urban conditions was investigated. A total of 16 fatty acids were identified. Unsaturated fatty acids in seed samples were the most abundat. Among the saturated fatty acids, palmitic acid was the dominant one, with a total average content of 8.12% Oleic acid, with the total average content of 53.46% was the most abundant unsaturated fatty acid. The results of this study indicated the presence of the following flavonoids: quercetin, kaempferol and rutin. Rutin was the most abundant, averagely contributing with 6.071 mg/g to the total quantified polyphenolics in all samples. The total aescin content ranged from 0.82% to 4.16% Fruits of park and street trees from small and middle sized cities can be used in pharmaceutical industry as raw material. Differences between different urban site categories and localities were detected, which indicates the biochemical plasticity of the seeds to urban morphology.
Systematically controlling Kapitza conductance via chemical etching
Year: 2012

We measure the thermal interface conductance between thin aluminum films and silicon substrates via time domain thermoreflectance from 100 to 300 K. The substrates are chemically etched prior to aluminum deposition, thereby offering a means of controlling interface roughness. We find that conductance can be systematically varied by manipulating roughness. In addition, transmission electron microscopy confirms the presence of a conformal oxide for all roughnesses, which is then taken into account via a thermal resistor network. This etching process provides a robust technique for tuning the efficiency of thermal transport while alleviating the need for laborious materials growth and/or processing.
An ensemble framework based on convolutional bi directional LSTM with multiple time windows for remaining useful life estimation
Venue: Comput. Ind.
Year: 2020

Effectively estimating remaining useful life (RUL) is crucially important for evaluating machine health. In the industry, there exists a high degree of inconsistency among the length of condition monitoring data. Thus, we propose an ensemble framework based on convolutional bi directional long short term memory with multiple time windows (MTW CNN BLSTM Ensemble) for accurately predicting RUL under this circumstance. In the training phase, multiple CNN BLSTM base models with different time window sizes are trained to capture various temporal dependencies between features. This setting expands the time window size and reduces the training error compared to traditional static time window size approaches. In the testing phase, test units are classified and suitable base models are applied according to the length of running time. A weighted average method is exploited to aggregate base models' outcomes. This ensemble strategy can increase the utilization rate of the test data and further enhance prediction accuracy. The effectiveness of this framework is validated and the comparison with state of the art methods available has been provided. The results have shown that this framework can achieve the minimum prediction error and provide stable support for equipment health management.
Supply chain sustainability performance measurement of small and medium sized enterprises using structural equation modeling
Venue: Ann. Oper. Res.
Year: 2020

Sustainability of small and medium sized enterprises (SMEs) is significant as SMEs contribute to GDP substantially in every economy. This research develops an innovative sustainable supply chain performance measurement model for SMEs. Prior researches predominantly use balanced score card (BSC) approach that presume causal relationship of criteria and Data Envelopment Analysis (DEA) which derive efficiency of units from a few input and output criteria. While DEA is effective for policymakers, BSC is more suitable for individual SME. The proposed method that uses structural equation modeling (SEM) approach to derive the relationship of criteria and criteria weights formulates regression type models for a specific region as well as for specific SME. The SEM based supply chain sustainability performance measurement model is beneficial to policymakers as they can determine means for improvement at a regional level. The proposed method could also facilitate managers/owners of individual SMEs with measures for improving their supply chain sustainability performance. The method has been applied to three varied geographical locations in the UK, France and India in order to demonstrate its effectiveness.
Table 1 Summary of Studies Reporting the Co occurrence of Birth Defects of the Liver and Fetal Alcohol Spectrum Disorders
Year: 2009

Review of published studies of birth defects of the renal, liver, and gastrointestinal organ systems in subjects with fetal alcohol spectrum disorders (FASD) METHOD: We searched PubMed ) using the following terms: fetal alcohol syndrome and: gastrointestinal tract, kidney, liver, and congenital abnormalities for all years and English only citations.  We located 12 studies of FASD and defects of or functional impairments for the liver, 12 of renal abnormalities, and only two with gastrointestinal defects. We did not identify specific patterns of malformations or functional deficits for any of the three organ systems. The existing literature suggests a series of nonspecific outcomes in FASD.  Fetal alcohol spectrum disorder includes a diagnostic category of alcohol related birth defects which is clinically difficult to apply. This study adds to the existing literature on birth defects in FASD which is still very limited. The categorical diagnosis of alcohol related birth defects requires additional research to determine if a specific pattern of organ specific abnormalities or functional deficits emerges in subjects with FASD. Birth Defects Research (Part A) 85:179 183, 2009. 2009 Wiley Liss, Inc.
Spherically symmetric solution of the Weyl Dirac theory of Gravitation and its consequences
Year: 2016

The Poincar'e and Poincar'e Weyl gauge theories of gravitation with Lagrangians quadratic on curvature and torsion in post Riemannian spaces with the Dirac scalar field is discussed in a historical aspect. The various hypotheses concerning the models of a dark matter with the help of a scalar field are considered. The new conformal Weyl Dirac theory of gravitation is proposed, which is a gravitational theory in Cartan Weyl spacetime with the Dirac scalar field representing the dark matter model. A static spherically symmetric solution of the field equations in vacuum for a central compact mass is obtained as the metrics conformal to the Yilmaz Rosen metrics. On the base of this solution one considers a radial movement of an interplanetary spacecraft starting from the Earth. Using the Newton approximation one obtains that the asymptotic line of sight velocity in this case depends on the parameters of the solution, and therefore one can obtain, on basis of the observable data, the values of these parameters and then the value of a rest mass of the Dirac scalar field.
No More Pesky Learning Rate Guessing Games
Venue: ArXiv
Year: 2015

It is known that the learning rate is the most important hyper parameter to tune for training deep convolutional neural networks (i.e. a "guessing game" This report describes a new method for setting the learning rate, named cyclical learning rates, that eliminates the need to experimentally find the best values and schedule for the learning rates. Instead of setting the learning rate to fixed values, this method lets the learning rate cyclically vary within reasonable boundary values. This report shows that training with cyclical learning rates achieves near optimal classification accuracy without tuning and often in many fewer iterations. This report also describes a simple way to estimate "reasonable bounds" by linearly increasing the learning rate in one training run of the network for only a few epochs. In addition, cyclical learning rates are demonstrated on training with the CIFAR 10 dataset and the AlexNet and GoogLeNet architectures on the ImageNet dataset. These methods are practical tools for everyone who trains convolutional neural networks.
Deep Graph Generators: A Survey
Venue: IEEE Access
Year: 2021

Deep generative models have achieved great success in areas such as image, speech, and natural language processing in the past few years. Thanks to the advances in graph based deep learning, and in particular graph representation learning, deep graph generation methods have recently emerged with new applications ranging from discovering novel molecular structures to modeling social networks. This paper conducts a comprehensive survey on deep learning based graph generation approaches and classifies them into five broad categories, namely, autoregressive, autoencoder based, reinforcement learning based, adversarial, and flow based graph generators, providing the readers a detailed description of the methods in each class. We also present publicly available source codes, commonly used datasets, and the most widely utilized evaluation metrics. Finally, we review current trends and suggest future research directions based on the existing challenges.
Bit Allocation Strategies for Generalised Spatial Modulation
Venue: 2019 53rd Asilomar Conference on Signals, Systems, and Computers
Year: 2019

This paper presents an antenna selection and two bit allocation methods for general spatial modulation, all based on channel state information. The proposed antenna selection method maximizes the Euclidean distance between the possible antenna selections in order to decrease the bit error rate. The bit allocation methods aim at determining the neighboring symbols and minimizing the Hamming distance in between them. In some scenarios, we show, through Monte Carlo simulations, that the presented methods have lower computational complexity and perform better than the existing approaches.
Pomalidomide (CC4047) plus low dose dexamethasone as therapy for relapsed multiple myeloma.
Venue: Journal of clinical oncology official journal of the American Society of Clinical Oncology
Year: 2009

Thalidomide and lenalidomide are immunomodulatory drugs (IMiDs) that produce high remission rates in the treatment of multiple myeloma. Pomalidomide is a new IMiD with high in vitro potency. We report, to our knowledge, the first phase II trial of pomalidomide administered in combination with low dose dexamethasone for the treatment of relapsed or refractory multiple myeloma.  Pomalidomide was administered orally at a dose of 2 mg daily on days 1 through 28 of a 28 day cycle. Dexamethasone 40 mg daily was administered orally on days 1, 8, 15, and 22 of each cycle. Responses were recorded using the criteria of the International Myeloma Working Group.  Sixty patients were enrolled. Thirty eight patients (63% achieved confirmed response including complete response in three patients (5% very good partial response in 17 patients (28% and partial response in 18 patients (30% Responses were seen in 40% of lenalidomide refractory patients, 37% of thalidomide refractory patients, and 60% of bortezomib refractory patients. Responses were seen in 74% of patients with high risk cytogenetic or molecular markers. Toxicity consisted primarily of myelosuppression. Grade 3 or 4 hematologic toxicity consisted of anemia (5% thrombocytopenia (3% and neutropenia (32% One patient (1.6% had a thromboembolic event. The median progression free survival time was 11.6 months and was not significantly different in patients with high risk disease compared with patients with standard risk disease.  The combination of pomalidomide and low dose dexamethasone is extremely active in the treatment of relapsed multiple myeloma, including high response rates in patients refractory to other novel agents.