nils-herrmann/clean_scirepeval huggingface dataset:
Study of Awareness, Enrollment, and Utilization of Rashtriya Swasthya Bima Yojana (National Health Insurance Scheme) in Maharashtra, India
Venue: Front. Public Health

Government of India launched a social health protection program called Rashtriya Swasthya Bima Yojana (RSBY) in the year 2008 to provide financial protection from catastrophic health expenses to below poverty line households (HHs) The objectives of the current paper are to assess the current status of RSBY in Maharashtra at each step of awareness, enrollment, and utilization. In addition, urban and rural areas were compared, and social, political, economic, and cultural (SPEC) factors responsible for the better or poor proportions, especially for the awareness of the scheme, were identified.  The study followed mixed methods approach. For quantitative data, a systematic multistage sampling design was adopted in both rural and urban areas covering 6000 HHs across 22 districts. For qualitative data, five districts were selected to conduct Stakeholder Analysis, Focused Group Discussions, and In Depth Interviews with key informants to supplement the findings. The data were analyzed using innovative SPEC by steps tool developed by Health Inc.  It is seen that that the RSBY had a very limited success in Maharashtra. Out of 6000 HHs, only 29.7% were aware about the scheme and 21.6% were enrolled during the period of 2010 2012. Only 11.3% HHs reported that they were currently enrolled for RSBY. Although 1886 (33.1% HHs reported at least one case of hospitalization in the last 1 year, only 16 (0.3% HHs could actually utilize the benefits during hospitalization. It is seen that at each step, there is an increase in the exclusion of eligible HHs from the scheme. The participants felt that such schemes did not reach their intended beneficiaries due to various SPEC factors.  The results of this study were quite similar to other studies done in the recent past. RSBY might still be continued in Maharashtra with modified focus along with good and improved strategy. Various other similar schemes in India can definitely learn few important lessons such as the need to improve awareness, issuing prompt enrollment cards with proper details, achieving universal enrollment, ongoing and prompt renewal, and ensuring proper utilization by proactively educating the vulnerable sections.
Going beyond your Personal Learning Network, Using Recommendations and Trust through a Multimedia Question Answering Service for Decision support: a Case Study in the Healthcare
Venue: J. Univers. Comput. Sci.

Social learning networks enable the sharing, transfer and enhancement of knowledge in the workplace that builds the ground to exchange informal learning practices. In this work, three healthcare networks are studied in order to understand how to enable the building, maintaining and activation of new contacts at work and the exchange of knowledge between them. By paying close attention to the needs of the practitioners, we aimed to understand how personal and social learning could be supported by technological services exploiting social networks and the respective traces reflected in the semantics. This paper presents a case study reporting on the results of two co design sessions and elicits requirements showing the importance of scaffolding strategies in personal and shared learning networks. Besides, the significance of these strategies to aggregate trust among peers when sharing resources and decision support when exchanging questions and answers. The outcome is a set of design criteria to be used for further technical development for a social semantic question and answer tool. We conclude with the lessons learned and future work.
A Reevaluation of Brachyprosopus broomi and Chelydontops altidentalis, Dicynodonts (Therapsida, Anomodontia) from the Middle Permian Tapinocephalus Assemblage Zone of the Karoo Basin, South Africa
Venue: Journal of Vertebrate Paleontology

Brachyprosopus broomi was described in 1937 based on a specimen from the Tapinocephalus Assemblage Zone (Karoo Basin, South Africa) but it was largely overlooked by subsequent workers. We have identified several new specimens that show that Brachyprosopus is a valid taxon. An autapomorphy for the taxon is a curled lateral edge of the squamosal that forms a lateral wall of the external adductor fossa. Other important characters are absence of anterior median palatal ridges; maxillary tooth rows bounded laterally by a shelf; unfused vomers; raised margins of the interpterygoid vacuity; broad intertemporal region; pineal boss; dentary tables; and a long, wide posterior dentary sulcus that extends posterior to the dentary teeth. Chelydontops altidentalis is a junior synonym of B. broomi. A phylogenetic analysis places Brachyprosopus among basal dicynodonts, not as a close relative of Endothiodon. It is noteworthy that some characters, such as well developed medial maxillary tooth rows and the shape of the palatines, are shared by Brachyprosopus, Pristerodon, Endothiodon, and Niassodon, hinting that a final resolution of relationships among toothed dicynodonts remains to be achieved. Most Brachyprosopus specimens are from the upper Abrahamskraal Formation (Moordenaars and Karelskraal members) One specimen is from low in the Koonap Formation, just above the lowermost maroon mudrocks of the Beaufort Group, and an exact correlation between this level and the strata of the Abrahamskraal Formation is uncertain. Therefore, it is likely that the stratigraphic range of Brachyprosopus extends throughout the Tapinocephalus zone and possibly down into the Eodicynodon Assemblage Zone.
Highly Photoluminescent Molybdenum Oxide Quantum Dots: One Pot Synthesis and Application in 2,4,6 Trinitrotoluene Determination.
Venue: ACS applied materials interfaces

As a well studied transition metal semiconductor material, MoOx has a wider band gap than molybdenum disulfide (MoS2) and its property varies dramatically for the existence of several different allotropes and suboxide phases of molybdenum oxides (MoOx, x 3) In this manuscript, a one pot method possessing the advantages of one pot, easily prepared, rapid, and environmentally friendly, has been developed for facile synthesis of highly photoluminescent MoOx quantum dots (MoOx QDs) in which commercial molybdenum disulfide (MoS2) powder and hydrogen peroxide (H2O2) are employed as the precursor and oxidant, respectively. The obtained MoOx QDs can be further utilized as an efficient photoluminescent probe, and a new turn off sensor is developed for 2,4,6 trinitrotoluene (TNT) determination based on the fact that the photoluminescence of MoOx QDs can be quenched by the Meisenheimer complexes formed in the strong alkali solution through the inner filter effect (IFE) Under the optimal conditions, the decreased photoluminescence of MoOx QDs shows a good linear relationship to the concentration of TNT ranging from 0.5 to 240.0 mM, and the limit of detection was 0.12 mM (3s/k) With the present turn off sensor, TNT in river water samples can be rapidly and selectively detected without tedious sample pretreatment processes.
Understanding relational conditions necessary for effective mentoring of black owned small businesses: A South African perspective

To gain an understanding of the relational conditions required for effective mentoring of black owned small businesses.  To identify relational based conditions for effective mentoring, which can be used to enhance business management skills of owner managers of black owned small businesses and eventually improve the survival of these businesses in South Africa.  By identifying relational based conditions needed for effective mentoring of black owned small businesses, recommendations can be put forward that could help achieve harmonious mentoring relationships and ultimately ensure effective mentoring of these businesses.  An interpretivism paradigm was adopted and aqualitative research methodology was selected. Semistructured interviews were used to gauge the perceptions of participants about relational issues necessary for effective mentoring. Content and constant comparative analyses were used to analyse data.  The findings revealed that conditions surrounding the knowledge and expertise of the mentor, experience and age of the mentor, approachability of the mentor, mutual respect, open communication, mutual trust and honesty, passion and patience of the mentor, mentee's willingness to learn, alignment of expectations, as well as culture sensitivity of the mentor are to be considered for effective mentor mentee relationship.  Although mentoring is important to develop management skills of owner managers, it is equally important that the mentor mentee relationship is nurtured to achieve the desired outcomes of the relationship.  The alarming failure rates of small businesses in general and blackowned small businesses in particular could be improved by providing effective mentoring programmes to owner managers by ensuring harmonious mentor mentee relationships.
Azimuthal Source Noncompactness and Mode Coupling in Sound Radiation from High Speed Axisymmetric Jets

Acoustic analogy approaches can be used to express the sound radiation from a turbulent flow as the convolution product of a propagator and a source term. This paper presents an acoustic analogy based analysis that properly accounts for circumferential variations of the propagator across the source correlation region in an axisymmetric jet. The analysis shows that including azimuthal source noncompactness effects leads to a formula for the acoustic spectrum in which each circumferential propagator mode couples only to its corresponding Fourier mode of the source term. This significantly affects the radiated sound field, because the lower order propagator modes radiate much more efficiently than the higher order modes, while the lower order source modes usually contain significantly less energy than the higher order modes. The resulting formula depends on the Reynolds stress autocovariance tensor, which must be accurately modeled in order to obtain realistic predictions of the sound field. A relatively sim.
Deepening the Dialogue New Directions for the Evolution of Effectuation Theory

Arend, Sarooghi, and Burkemper (hereafter, "ASB" evaluate effectuation theory by applying a "3E" framework that they position as comprehensive and broadly applicable to business theory (2015: 11) In their dialogue response to ASB, Read, Sarasvathy, Dew, and Wiltbank (2016) argue that the 3E framework is, in fact, inapplicable to effectuation theory because it embodies positivist criteria inappropriate for effectuation's pragmatist stance. We start from the premise that theory development is an evolutionary process, an observation that fuels our approach to assessing how effectuation theory might be advanced. Highlighting the pragmatist roots of effectuation theory, we suggest that effectuation research has thus far emphasized one aspect of pragmatism creativity while a second aspect of pragmatism habit has been underexplored. We also highlight the limited attention directed to date beyond the level of the individual. Based on these observations, we outline possibilities for new directions for developing effectuation theory.
Explaining the EUA CER Spread

Because of a link between the EU ETS and the Kyoto Flexible Mechanisms, the emission certificates traded on these markets are in principle interchangeable assets; despite of this, a persistent price difference exists. We explain this price spread using a theoretical model that combines three features: A binding limit for the use of Kyoto offsets within the EU ETS; a disconnect between the price of offsets and their marginal cost of production due to institutional reasons; and uncertainty about future supply and demand of offsets. Our model expresses the offset price as an average of the EUA price and an offset's outside value, weighted by the probability of a binding import limit. Using a detailed dataset on expected offset supply and demand, we provide empirical support for our theory of offset price formation. In addition, we find evidence for informational frictions governing the use of offsets within the EU ETS.
Spatial fuzzy clustering approach to characterize flood risk in urban storm water drainage systems
Venue: Natural Hazards

Increasing environmental stress of drainage systems leads to frequent occurrence of urban flooding, which generates significant adverse economic, social, and environmental impacts. In this study, spatial fuzzy clustering approach (SFCA) is developed to estimate possible flood risks in storm water drainage systems and address complexity and uncertainties of flood risk assessment. The proposed approach is capable of gaining insights into system behavior by exploring spatial patterns of flood risk. The corresponding algorithm is utilized to divide a drainage system into various clusters to reflect flood risk levels along the network space. Application to a sample drainage system demonstrates that it provides an appropriate technique to determine spatial distribution of flood risks. Results reveal that areas with high, moderate, and low risk identified by SFCA correspond to a certain degree of environmental stress. The findings of this study can serve as a preliminary basis to guide managers in their evaluation of flood risks in various drainage management scenarios.
Design Storm for Mixed Urban and Agricultural Drainage Systems in the Northern Delta in Vietnam

AbstractA design storm definition procedure for the sizing of channels within mixed urban and lowland rice drainage systems is developed, with reference to the Northern Delta in Vietnam. By analyzing a 20 years long time series of rainfall observations recorded at Hanoi monitoring station, typical storm events were identified and a set of suitable design storms was determined and recommended for the optimal design storm selection. A procedure to select an optimal design hyetograph is then defined, based on a combination of the design storm method and continuous simulation. A set of simulation experiments on a fictitious basin was finally carried out to support the choice of the storm temporal pattern providing the best performance in terms of reproduction of runoff peaks.
Online Sequence to Sequence Reinforcement Learning for Open Domain Conversational Agents

We propose an online, end to end, deep reinforcement learning technique to develop generative conversational agents for open domain dialogue. We use a unique combination of offline two phase supervised learning and online reinforcement learning with human users to train our agent. While most existing research proposes hand crafted and develop defined reward functions for reinforcement, we devise a novel reward mechanism based on a variant of Beam Search and one character user feedback at each step. Experiments show that our model, when trained on a small and shallow Seq2Seq network, successfully promotes the generation of meaningful, diverse and interesting responses, and can be used to train agents with customized personas and conversational styles.
Destruction of large scale magnetic field in non linear simulations of the shear dynamo

The Sun's magnetic field exhibits coherence in space and time on much larger scales than the turbulent convection that ultimately powers the dynamo. In the past the a effect (mean field) concept has been used to model the solar cycle, but recent work has cast doubt on the validity of the mean field ansatz under solar conditions. This indicates that one should seek an alternative mechanism for generating large scale structure. One possibility is the recently proposed 'shear dynamo' mechanism where large scale magnetic fields are generated in the presence of a simple shear. Further investigation of this proposition is required, however, because work has been focused on the linear regime with a uniform shear profile thus far. In this paper we report results of the extension of the original shear dynamo model into the non linear regime. We find that whilst large scale structure can initially persist into the saturated regime, in several of our simulations it is destroyed via large increase in kinetic energy. This result casts doubt on the ability of the simple uniform shear dynamo mechanism to act as an alternative to the a effect in solar conditions.
Wireless, Room Temperature Volatile Organic Compound Sensor Based on Polypyrrole Nanoparticle Immobilized Ultrahigh Frequency Radio Frequency Identification Tag.
Venue: ACS applied materials interfaces

Due to rapid advances in technology which have contributed to the development of portable equipment, highly sensitive and selective sensor technology is in demand. In particular, many approaches to the modification of wireless sensor systems have been studied. Wireless systems have many advantages, including unobtrusive installation, high nodal densities, low cost, and potential commercial applications. In this study, we fabricated radio frequency identification (RFID) based wireless sensor systems using carboxyl group functionalized polypyrrole (C PPy) nanoparticles (NPs) The C PPy NPs were synthesized via chemical oxidation copolymerization, and then their electrical and chemical properties were characterized by a variety of methods. The sensor system was composed of an RFID reader antenna and a sensor tag made from a commercially available ultrahigh frequency RFID tag coated with C PPy NPs. The C PPy NPs were covalently bonded to the tag to form a passive sensor. This type of sensor can be produced at a very low cost and exhibits ultrahigh sensitivity to ammonia, detecting concentrations as low as 0.1 ppm. These sensors operated wirelessly and maintained their sensing performance as they were deformed by bending and twisting. Due to their flexibility, these sensors may be used in wearable technologies for sensing gases.
Radio frequency unbalanced M Z interferometer for wavelength interrogation of fiber Bragg grating sensors.
Venue: Optics letters

The optical unbalanced Mach Zehnder interferometer (UMZI) has attracted significant interests for interrogation of FBG sensors owing to its excellent advantages in sensitivity, resolution, and demodulation speed. But this method is still limited to dynamic measurements due to its poor stability and reliability when used for quasi static detections. Here, we propose for the first time, to the best of our knowledge, a radio frequency unbalanced M Z interferometer (RF UMZI) for interrogation of FBG sensors, which, owing to its operation in an incoherent rather than a coherent regime, provides an ideal solution for the existing stability problem of the conventional UMZI, with remarkable features of adjustable resolution and potentially extremely high sensitivity. A dispersion compensation fiber (DCF) and single mode fiber (SMF) with a small length difference are served as the two unbalanced arms of the RF interferometer. The induced differential chromatic dispersion transfers the wavelength shift of the FBG to the change of the RF phase difference between the two interferometric carriers, which ultimately leads to the variation of the RF signal intensity. An interrogation of a strain turned FBG was accomplished and a maximum sensitivity of 0.00835 a.u./me was obtained, which can easily be further improved by more than two orders of magnitude through various fiber dispersion components. Finally, the stability of the interrogation was tested.
Psychoanalysis in China: an Essay on the Recent Literature in English
Venue: The Psychoanalytic quarterly

Using extensive quotation, the author reviews the introduction and current state of psychoanalysis and psychoanalytic psychotherapy in China from the vantage point of recent publications in English. Psychoanalysis was briefly introduced to China before the Communist era, then forbidden, and has experienced an accelerated reintroduction since the late 1980s. The author briefly summarizes the cultural and historical background of China relevant to the introduction of psychoanalysis, the traumatic history of China, and the deep structure of thought and philosophical differences from Western culture that challenge a simple imposition of psychoanalytic ideas and practice, and some psychological effects of rapid cultural change throughout China. Training programs in China, the general enthusiasm for analysis among the Chinese, and a number of notable contributions by Western and Chinese authors are discussed. Also surveyed are the use of distance technology for training and treatment, the personal experience of Chinese senior and junior colleagues, and ongoing challenges to the continuing growth of psychoanalysis and analytic psychotherapy in China.
A direct potential fitting RKR method: Semiclassical vs. quantal comparisons

Quantal and semiclassical (SC) eigenvalues are compared for three diatomic molecular potential curves: the X state of CO, the X state of Rb2, and the A state of I2. The comparisons show higher levels of agreement than generally recognized, when the SC calculations incorporate a quantum defect correction to the vibrational quantum number, in keeping with the Kaiser modification. One particular aspect of this is better agreement between quantal and SC estimates of the zero point vibrational energy, supporting the need for the Y00 correction in this context. The pursuit of a direct potential fitting (DPF) RKR method is motivated by the notion that some of the limitations of RKR potentials may be innate, from their generation by an exact inversion of approximate quantities: the vibrational energy Gu and rotational constant Bu from least squares analysis of spectroscopic data. In contrast, the DPF RKR method resembles the quantal DPF methods now increasingly used to analyze diatomic spectral data, but with the eigenvalues obtained from SC phase integrals. Application of this method to the analysis of 9500 assigned lines in the I2 A X spectrum fails to alter the quantal SC disparities found for the A state RKR curve from a previous analysis. On the other hand, the SC method can be much faster than the quantal method in exploratory work with different potential functions, where it is convenient to use finite difference methods to evaluate the partial derivatives required in nonlinear fitting.
Parallel computation of k nearest neighbor joins using MapReduce
Venue: 2016 IEEE International Conference on Big Data (Big Data)

The k nearest neighbor (kNN) join has recently attracted considerable attention due to its broad applications. However, processing fcNN joins is very expensive due to the quadratic nature of the join operation. Furthermore, since there is an increasing trend of applications to deal with big data, computing fcNN joins becomes more challenging. In order to process such big data, parallel and distributed computing using MapReduce recently have received a lot of attention. In this paper, we propose the efficient parallel algorithm KNN MR to process the fcNN joins using MapReduce. To reduce not only the computational cost of fcNN joins but also the network cost of communicating across machines, we develop the novel vector projection pruning which enables us to identify non fcNN points that are guaranteed not to be included in the result of a fcNN join. Our performance study confirms the effectiveness and scalability of the proposed algorithm.