nils-herrmann/clean_scirepeval huggingface dataset:
The Emergence of Contextual Social Psychology
Venue: Personality social psychology bulletin
Year: 2018

Social psychology experiences recurring so called "crises." This article maintains that these episodes actually mark advances in the discipline; these "crises" have enhanced relevance and led to greater methodological and statistical sophistication. New statistical tools have allowed social psychologists to begin to achieve a major goal: placing psychological phenomena in their larger social contexts. This growing trend is illustrated with numerous recent studies; they demonstrate how cultures and social norms moderate basic psychological processes. Contextual social psychology is finally emerging.
Increased iron stores influence glucose metabolism in sickle cell anaemia
Venue: British journal of haematology
Year: 2020

1. Spaulding TP, Stockton SS, Savona MR. The evolving role of next generation sequencing in myelodysplastic syndromes. Br J Haematol. 2020;188:224 39. 2. Thol F, Gabdoulline R, Liebich A, Klement P, Schiller J, Kandziora C, et al. Measurable residual disease monitoring by NGS before allogeneic hematopoietic cell transplantation in AML. Blood. 2018;132:1703 13. 3. Palomo L, Ib a~ nez M, Ab aigar M, V azquez I, Alvarez S, Cabez on T V, et al. Spanish guidelines for the use of targeted deep sequencing in myelodysplastic syndromes and chronic myelomonocytic leukaemia. Br J Haematol. 2020;188:605 22. 4. Nemoto M, Hattori H, Maeda N, Akita N, Muramatsu H, Moritani S, et al. Compound heterozygous TYK2 mutations underlie primary immunodeficiency with T cell lymphopenia. Sci Rep. 2018;8:1 13. 5. Leitner NR, Witalisz Siepracka A, Strobl B, MEUR uller M. Tyrosine kinase 2 surveillant of tumours and bona fide oncogene. Cytokine.  A, Carson N, Rahmeh T. The value of next generation sequencing in the screening and evaluation of hematologic neoplasms in clinical practice.
Dysregulation of type I interferon responses in COVID 19
Venue: Nature Reviews Immunology
Year: 2020

Infection with SARS CoV 2 can lead to excessive production of pro inflammatory cytokines, but the production of type I interferons, which are key antiviral mediators, is reportedly blunted. Here, we discuss how imbalanced interferon responses may contribute to the pathology of COVID 19. In this Comment, Michaela Gack and colleagues discuss how the dysregulation of type I interferon responses may contribute to COVID 19 pathology.
Check Your Orientalism at the Door: Edward Said, Sanjay Seth, and the Adequacy of Western Pedagogy
Year: 2014

Western pedagogy and its preconceived notions of the non Western world can limit scholars from developing accurate understandings of culturally different societies. Western academics teaching at foreign and Western institutions abroad must be mindful of how ingrained and subconscious Orientalist thinking can distort and hinder their interactions with local students.
KUALITAS LAPORAN KEUANGAN DAN IMPLEMENTASI SAK ETAP PADA UMKM DI KOTA JAMBI
Year: 2018

ABSTRAK Penelitian bertujuan untuk mengetahui kualitas laporan keuangan UMKM dan implementasi SAK ETAP. Populasi dalam penelitian ini adalah UMKM Batik/ Sandang yang berada di Kota Jambi tepatnya di Seberang kota Jambi. Populasi dalam penelitian berjumlah 139. Pengambilan sampel dengan tekhik proposif samping dan berjumlah 23 UMKM Batik Analisis data yang digunakan adalah analisis deskriptif untuk mencari gambaran kualitas laporan keuangan dan implementasi SAK ETAP. Hasil penelitian menunjukkan bahwa Kualitas laporan keuangan UMKM di Kota Jambi Seberang kurang baik terdapat 13,045% laporan keuangan yang sudah baik. 13,045% laporan keuangan kurang baik dan lebih dari separo dari pengusaha UMKM belum memahami dengan baik mengenai pembuatan laporan keuangan yang baik atau sebesar 73,91% Semua responden sebanyak 23 responden 100% belum mengimplementasikan SAK ETAP. Sehingga laporan keuangan yang dibuat belum sesuai dengan standar laporan keuangan UMKM yang berlaku penyebabnya adalah ketidaktahuan mereka tentang standar laporan keuangan UMKM yaitu SAK ETAP Kata Kunci: UMKM, SAK ETAP, laporan keuangan
[The avian middle ear (Struthio camelus) Data for the physiology of sound transmission in systems with a single ossicle in the chain]
Venue: Acta otorrinolaringologica espanola
Year: 2007

The columella of birds, often cited in the literature, has yet to be adequately described. We aim to give an account of this transmission element, describing its anchoring systems and detailing the muscle associated to it.  We performed microscopic dissection and obtained images of ostrich specimens (Struthio camelus) chosen because it is the bird with the largest head.  We describe the columella: the osseous tripod formed on its external section (extracolumella) the conic shape of its inner section (stapedial) and links to the tympanic membrane and the oval window. We describe its anchoring system: posterior ligament and annular ligament. We conclude by describing the characteristics of the columella muscle, its insertions and the fibrous vein surrounding it.  The avian middle ear is a valid model for understanding the mechanical characteristics of the human ear repaired with total ossicular replacement prosthesis, ie replacement of the ossicular chain by a single element. We highlight an apparent contradiction: the existing muscle is inserted into the columella in an area close to the tympanic membrane rather than adjacent to the oval window.
Learning Approaches of Grade 11 Students in Physics at Antipolo City Senior High School
Year: 2020

Research on student learning at school can be very useful for improving teaching and learning. Not all learning is the same. Sometimes, for a number of reasons, students avoid the hard work of deep learning and instead fall back a surface learning practice. Blaming students due to their poor performance does not encourage them to engage in their lessons because it only prevented us from applying teaching strategies which may have a positive effect on their learning. Being able to identify these practices allows astute and conscientious educators to diagnose problem in the organization of courses or curricula. This study aimed to determine the learning approaches of students in Physics. Eighty senior high school students were used as the respondents. There were sets of questionnaires given to them to determine the different learning approaches of students in Physics. Based on the gathered data, 70% of the populations have shown deep learning though, 30% of them showed surface learning. However, based on the tabulated data, the following skills were seen as weaknesses of students that need mastery. Their approaches to learning on these aspects are surface approach.  Interpretation of plotted graphs  Derivation of formulas  Sketching vector diagrams [4] Solving a variety of Physics problems. Based on the findings of the study, the researcher has come up with the following recommendation:  there must be more time on plotting of graphs (position versus time and velocity versus time) and as much as possible, there will be more practice exercises on plotting of graphs with interpretations.  The teacher needs to show the derivations of general formulas in front of the class. He/she needs to give more sample problems where students could be challenged to derive equations for unknown quantities. This could be done during class discussions.  The teacher needs more patience and dedication to guide her students on how to draw vector diagrams.  The teacher needs to help students review their Algebra and Trigonometry as tools to understand Physics. Selected topics in algebra and Trigonometry should be reviewed during first week of school days. [5]The teacher needs to discuss students' weaknesses in Mathematics collaboratively with the Mathematics Teachers as feedback to prepare students in Physics course.
First Record of the Coffee Berry Borer, Hypothenemus hampei (Ferrari) (Coleoptera: Curculionidae: Scolytinae) on Hainan Island, China
Venue: The Coleopterists Bulletin
Year: 2020

Coffee (Coffea arabica L. and Coffea canephora Pierre ex A. Froehner) is one of the most important global commodities, with over 10 million hectares planted in 80 countries in tropical and subtropical regions (Aristizabal et al. 2016; Escobar Ramirez et al. 2019; FAO 2015) The total value of the coffee industry during 2012 was estimated to be US$173 billion (ICO 2015) One of the major constraints on coffee production throughout the world is the damage caused by the coffee berry borer (CBB) Hypothenemus hampei (Ferrari, 1867) (Vega et al. 2009) The CBB causes enormous economic losses (Jaramillo et al. 2006; Wegbe et al. 2003) This pest poses a threat to coffee production due to its cryptic life habits inside the coffee berry, which makes management difficult (Vega et al. 2015) The beetle is indigenous to Africa (Damon 2000; Le Pelley 1968; Vega et al. 2009, 2019) To date, CBB has been found in every coffee producing region, except China and Nepal, with the most recent introductions to Puerto Rico in 2007, Hawaii in 2010, and Papua New Guinea in 2017 (Burbano et al. 2011; Coffee Industry Corporation Ltd 2017; Duque and Baker 2003; Hamilton et al. 2019; Jaramillo et al. 2011; Vega et al. 2009) In China, the area of coffee plantations was estimated to be about 120,000 ha, mostly distributed in Yunnan and Hainan (Liu 2016) Hainan was one of the earliest areas to grow coffee in China because of its ideal climate, and cultivation began in the early 20th century (Chen 2010) Moreover, the volcanic soil on the island is very suitable for cultivating high quality coffee. Robusta coffee is the main variety in Hainan, distributed mainly in Wanning, Chengmai, Baisha, and Qiongzhong. The only recorded bark beetle (Scolytinae) pest of coffee on Hainan Island is the black twig borer, Xylosandrus compactus (Eichhoff) It was first discovered in Wanning in the 1970s, where it was reported to cause 20 30% reduction in coffee per year (Lin et al. 1994) During June 2019, about 40 representatives of suspected CBB adults were captured in bottle traps (100% ethanol; Vega et al. 2015) in a farm near Xinglong, Wanning (18.7240degN, 110.2437degE) and hand collected from coffee beans. The first few specimens were preserved in 100% ethanol and sent to Jiangxi Agriculture University, China for primary identification, then confirmed in the Forest Entomology Laboratory, School of Forest Resources and Conservation, University of Florida, USA. The specimens were confirmed to be CBB using the morphological diagnosis by Vega et al. (2015)
Socio Economic Characteristics and Extension Intervention of Livestock Farmer in Jalandhar District of Punjab, India
Year: 2020

The livestock sector is one of the fastest growing segments of the agricultural economy, particularly in the developing country like India which provides nutritive food rich in animal protein and it also helps in supplementing family incomes and generating gainful employment for 70.0 million farm families of landless, marginal and small farmers. Animal husbandry is second largest economical activity in rural India next to agriculture. Livestock sector is directly related to a more balanced development of International Journal of Current Microbiology and Applied  (2020)  http:/www.ijcmas.com
Long and short chain AHLs affect AOA and AOB microbial community composition and ammonia oxidation rate in activated sludge.
Venue: Journal of environmental sciences
Year: 2019

Quorum sensing (QS) regulation of the composition of ammonia oxidising archaea (AOA) and ammonia oxidising bacteria (AOB) communities and functions in wastewater treatment was investigated. Specifically, we explored the role of N acyl l homoserine lactones (AHLs) in microbial community dynamics in activated sludge. On average, the specific ammonia oxidising rate increased from 1.6 to 2.8 mg NH4+ N/g MLSS/hr after treatment with long chain AHLs for 16 days, and the addition of AHLs to sludge resulted in an increased number of AOA/AOB amoA genes. Significant differences were observed in the AOA communities of control and AHL treated cultures, but not the AOB community. Furthermore, the dominant functional AOA strains of the Crenarchaeota altered their ecological niche in response to AHL addition. These results provide evidence that AHLs play an important role in mediating AOA/AOB microbial community parameters and demonstrate the potential for application of QS to the regulation of nitrogen compound metabolism in wastewater treatment.
Dysfunctional Text Messaging as Related to Social Anxiety, Self Esteem, Emotional Intelligence, and Attentional Control
Year: 2015

Despite the widespread and increasing use and popularity of text messaging since the mid 1990's, the extent of the psychological literature regarding this technology is scarce. Chief amongst these underexplored areas is the relationship that text messaging, as a mode of Nonverbal Asynchronous Communication, has with Verbal Synchronous Communication abilities. For this study, these abilities have been operationalized as social anxiety, self esteem, emotional intelligence, and attentional control. The available research implies a relationship between these concepts. Despite mostly theoretical links in the literature, no study had attempted to measure many of these relationships empirically. This study examined the relationship between text messaging, social anxiety, self esteem, emotional intelligence, and attentional control, and explored the nature of these relationships. Participants responded to scales measuring self perception of text message dependency, problem use of text messaging, and the variables operationalizing Verbal Synchronous Communication abilities. Results of the study show that many of these factors do correlate with dysfunctional text messaging. Implications of these findings, limitations of the study, and suggestions for future research are discussed. Correlates of dysfunctional text messaging 4
Numerical study and identification of cooling of heated blocks in pulsating channel flow with a rotating cylinder
Year: 2014

A numerical study of pulsating channel flow with heated blocks in the presence of an adiabatic rotating cylinder is performed. The governing equations are solved with a finite volume based commercial solver. The effects of pulsating frequency, Reynolds number and cylinder rotation angle on the fluid flow and heat transfer characteristics from the surface of the heated blocks are numerically studied. It is observed that the flow field and heat transfer rate are influenced by the variations of these parameters. Furthermore, nonlinear models are created to identify the dynamics of the heat transfer for each of the surface of the blocks using system identification.
Joint coded aperture optimization and compressive hyperspectral image classification using 3D coded neural network.
Year: 2020

Hyperspectral image classification (HIC) is an active research topic in remote sensing. However, the huge volume of three dimensional (3D) hyperspectral images poses big challenges in data acquisition, storage, transmission and processing. To overcome these limitations, this paper develops a novel deep learning HIC approach based on the compressive measurements of coded aperture snapshot spectral imaging (CASSI) system, without reconstructing the complete hyperspectral data cube. A new kind of deep learning strategy, namely 3D coded convolutional neural network (3D CCNN) is proposed to efficiently solve for the HIC problem, where the hardware based coded aperture is regarded as a pixel wise connected network layer. An end to end training method is developed to jointly optimize the network parameters and the coded aperture pattern with periodic structure. The accuracy of HIC approach is effectively improved by involving the degrees of optimization freedom from the coded aperture. The superiority of the proposed method is assessed on some public hyperspectral datasets over the state of the art HIC methods.
Synergistic Effect to High Performance Perovskite Solar Cells with Reduced Hysteresis and Improved Stability by the Introduction of Na Treated TiO2 and Spraying Deposited CuI as Transport Layers.
Venue: ACS applied materials interfaces
Year: 2017

For a typical perovskite solar cell (PKSC) both the electron transport layers (ETLs) and hole transport materials (HTMs) play a very important role in improving the device performance and long term stability. In this paper, we firstly improve the electron transport properties by modification of TiO2 ETLs with Na species, and an enhanced power conversion efficiency (PCE) of 16.91% has been obtained with less hysteresis. Subsequently, an inorganic CuI film prepared by a facile spray deposition method has been employed to replace the conventional spiro OMeTAD as the HTM in PKSCs. Because of the improved transport properties at the ETL/perovskite and perovskite/HTM interfaces, a maximum photovoltaic efficiency of 17.6% with reduced hysteresis has been achieved in the PKSC with both the Na modified TiO2 ETL and 60 nm thick CuI layer HTM. To our knowledge, the PCE achieved in this paper is one of the highest values ever reported for the PKSC devices with inorganic HTMs. More significantly, the PKSCs exhibit an outstanding device stability, their PCE remains constant after storage in the dark for 50 days, and they can retain approximately 92% of their initial efficiency after storage even for 90 days.
Random Features for Large Scale Kernel Machines
Venue: NIPS
Year: 2007

To accelerate the training of kernel machines, we propose to map the input data to a randomized low dimensional feature space and then apply existing fast linear methods. The features are designed so that the inner products of the transformed data are approximately equal to those in the feature space of a user specified shift invariant kernel. We explore two sets of random features, provide convergence bounds on their ability to approximate various radial basis kernels, and show that in large scale classification and regression tasks linear machine learning algorithms applied to these features outperform state of the art large scale kernel machines.
Breaking the \mathcal{O}(n|C| Barrier for Unconditionally Secure Asynchronous Multiparty Computation (Extended Abstract)
Venue: INDOCRYPT
Year: 2013

In PODC 2012, Dani et al.apresented an unconditionally secure multiparty computation (MPC) protocol, which allows a set of n parties to securely evaluate any arithmetic circuit C of size |C| on their private inputs, even in the presence of a computationally unbounded malicious adversary who can corrupt upto $t parties, for any given non zero e with $0 The total circuit dependent communication complexity of their protocol is \mathcal{O}\ensuremath{\mathsf{PolyLog}(n) \cdot |C| which is a significant improvement over the standard MPC protocols, which has circuit dependent complexity of the form \mathcal{O}\ensuremath{\mathsf{Poly}(n) \cdot |C| The key innovation in their protocol is that instead of following the standard method of having every party communicate with every other party for evaluating each gate of C, it is sufficient to involve only a small subset of parties of size Th(PolyLog(n) to communicate with each other for evaluating each gate of the circuit. The protocol was presented in a synchronous setting and it was left as an open problem to design an asynchronous MPC (AMPC) protocol, with a similar characteristic. In this work, we solve this open problem by presenting the first unconditionally secure AMPC protocol where the circuit dependent complexity is \mathcal{O}\ensuremath{\mathsf{PolyLog}(n) \cdot |C|
Fully automated machine learning based VMAT planning for oropharyngeal cancer
Year: 2019

To demonstrate that fully automated Volumetric Modulated Arc Therapy (VMAT) dose distributions for oropharyngeal cancer patients can be generated, with similar quality as the clinical 'dosimetrists optimized' dose distributions, further indicated as reference plans.  MLO planning involved training of a model, which was used to predict the voxel dose for novel patients. CT scans, structures and dose distributions of 155 consecutive primary Head and Neck Cancer (HNC) patients, previously treated with dual arc VMAT, were retrieved from our clinical database. In the final step, the predicted dose distribution was input to a mimicking optimization to generate a deliverable dose distribution. The main goal of this study, generating clinical acceptable MLO plans, was investigated with a model containing 60 oropharyngeal cancer plans. Validation was performed with 39 oropharyngeal cancer patients to tune prediction and mimicking settings using both target and Organ At Risk (OAR) quality measures on models with 60 oropharyngeal cancer plans. The dose distributions of the validation plans were compared against the reference plans.  The predicted dose was in accordance with reference dose for all plans. Plan quality was highly dependent on prediction and mimicking settings. In the final settings, the mimicked plans of the model with 60 oropharyngeal cancer plans had adequate target coverage, acceptable OARs dose and sum NTCP lower or within 2% increase compared to reference plans in 26/39 (67% plans.  In this study, we have demonstrated that clinical acceptable MLO VMAT plan quality can be reached in the majority of oropharyngeal cancer patients.
Coping with Stress: The Effectiveness of Different Types of Music
Venue: Applied psychophysiology and biofeedback
Year: 2007

Listening to classical and self selected relaxing music after exposure to a stressor should result in significant reductions in anxiety, anger, and sympathetic nervous system arousal, and increased relaxation compared to those who sit in silence or listen to heavy metal music. Fifty six college students, 15 males and 41 females, were exposed to different types of music genres after experiencing a stressful test. Several 4 x 2 mixed design analyses of variance were conducted to determine the effects of music and silence conditions (heavy metal, classical, or self selected music and silence) and time (pre post music) on emotional state and physiological arousal. Results indicate listening to self select or classical music, after exposure to a stressor, significantly reduces negative emotional states and physiological arousal compared to listening to heavy metal music or sitting in silence.
Deep learning model for real time image compression in Internet of Underwater Things (IoUT)
Venue: Journal of Real Time Image Processing
Year: 2019

Recently, the advancements of Internet of Things (IoT) have expanded its application in underwater environment which leads to the development of a new field of Internet of Underwater Things (IoUT) It offers a broader view of applications such as atmosphere observation, habitat monitoring of sea animals, defense and disaster prediction. Data transmission of images captured by the smart underwater objects is very challenging due to the nature of underwater environment and necessitates an efficient image transmission strategy for IoUT. In this paper, we model and implement a discrete wavelet transform (DWT) based deep learning model for image compression in IoUT. For achieving effective compression with better reconstruction image quality, convolution neural network (CNN) is used at the encoding as well as decoding side. We validate DWT CNN model using extensive set of experimentations and depict that the presented deep learning model is superior to existing methods such as super resolution convolutional neural networks (SRCNN) JPEG and JPEG2000 in terms of compression performance as well as reconstructed image quality. The DWT CNN model attains an average peak signal to noise ratio (PSNR) of 53.961 with average space saving (SS) of 79.7038%