Miracle-dz/UniFAR-FTUs huggingface dataset:
Can cerebroplacental ratio overcome the gaps present in the tests of antepartum foetal surveillance in improving the perinatal outcome?

Background: Timely antenatal identification of the fetus at risk, fetal monitoring and serial assessment are crucial to ensure fetal wellbeing, which is measured in terms of perinatal outcome by using various tests of antepartum surveillance. Materials and Methods: It was a prospective study conducted in the department of Obstetrics and Gynaecology of Upper India Sugar Exchange Maternity hospital, G.S. V.M Medical College, Kanpur from 2016 to 2018 with total number of 130 cases. All antenatal cases with &gt; 32 weeks of gestation with high risk factors, were simultaneously subjected to Electronic foetal monitoring and Colour Doppler. Perinatal outcomes were recorded in terms of presence or absence of meconium stained liquor, Apgar score, NICU admission requirement and respiratory distress. Results: There was significant statistical correlation between the different types of EFM and Doppler velocimetry with the perinatal outcome variables such as NICU admissions, neonatal complications and mode of termination, p-value was &lt;0.001, i.e highly significant. There was significant difference between the Cerebro placental Ratio and all the variables except APGAR. The mean of PI of middle cerebral artery was 1.53±0.39. and that of umbilical artery was 1.08±0.35. Percentage of NICU admissions required was higher in patients have EFM pathological followed by suspicious as compared to EFM normal. Conclusion: With Umbilical artery and Middle cerebral artery Doppler, the Cerebroplacental Ratio is postulated to be a better predictor of foetal compromise than either of the vessel considered individually even when their respective indices are in normal range.
Self-selection of Mexican migrants in the presence of random shocks: Evidence from the Panic of 1907

Using height as a proxy for physical productivity of labour, this paper estimates theÂ selection of Mexican migration to the United States at the beginning of the flow (1906â€“08), andÂ it exploits a natural experiment of history to evaluate the impact of random shocks on short-runÂ shifts in selection into migration.The results suggest that the first Mexican migrants belonged toÂ the upper ranks of the height distribution of the Mexican working class. Additionally, theÂ financial crisis of 1907, an exogenous labour demand shock in the United States, significantlyÂ modified local migrant self-selection. Before the crisis, migrants were positively selected relativeÂ to the military elite of the time. During the crisis, migrants became negatively selected, butÂ returned to a stronger positive selection after the crisis.The shift to a less positive selection wasÂ influenced by the absence of the enganche, an institution that neutralized mobility and job-searchÂ costs. The stronger positive selection in the post-crisis period was partially driven by persistentÂ droughts in Mexico that increased the population at risk of migration.
The evolution of private returns to education during post-conflict transformation: Evidence from Mozambique

This paper estimates how private returns to education have evolved in the context of post-conflict transformation in Mozambique. This has been characterized by rapid economic growth, significant expansion of the schooling system, but also limited structural change in a labour market dominated by small-scale agricultural activity. We find clear evidence that rates of return to education in the country have shifted over time - declining at lower levels of schooling, but remaining stable and possibly rising at the highest levels. This is consistent with increasingly convex returns, which are most evident among those in non-agricultural (wage) jobs. As such, workers today must accumulate more years of schooling to achieve the same expected return as in the past.
A study to assess the prevalence of hypertension in children with nephrotic syndrome

Background: Hypertension is been one of the most common co morbidity of this disease. It was mostly attributed to sodium retention, which is a major clinical feature of nephrotic syndrome. These mechanisms likely have a role in the development of hypertension in nephrotic syndrome, where hypertension may be difficult to control, and provide new therapeutic options for the management of blood pressure in the setting of nephrotic syndrome. Objective of study the prevalence of hypertension in children with NS and also the number of antihypertensive required to control it.Method: A Retrospective study of the hospital records of 100 children diagnosed with nephrotic syndrome admitted to Pediatric and Nephrology Ward at YMCH was accessed.Results: In our study 35 (35%) of them were Infrequent relapse nephrotic syndrome (IFNS) and 35(35%) were Frequent relapse nephrotic syndrome (FRNS) ,while 30 cases (30%) were First episode nephrotic syndrome (FENS). 65 cases were steroid sensitive, while 28 and 7 of them were steroid dependent and resistant respectively. Of the 100 study population 54 of them had hypertension while 46 of them did not develop it . Of the 54 hypertensive nephrotic syndrome children, 15 of them (28.%) required three anti hypertensives to control the pressure, while 19 (35%) and 20 (37%) required single and dual anti hypertensives respectively.Conclusion: Prevalence of hypertension is increasing among the children with nephrotic syndrome. Its more prevalent among the male then female FRNS, SRNS and SDNS are more prone to develop hypertension and also they needed two or more antihypertensives to control the hypertension, whereas hypertension in SSNS could be managed with single drug.
Hashtag and highest scored terms for expanding query

Communicating in short messages, such as using micro blogs, was becoming more popular currently. Twitter https://twitter.com supports micro blogs and retrieval of the blogs by users.To retrieve Twitter documents, we need specific strategies due to its specific characteristics.One new strategy for improving the effectiveness of twitter document retrieval is using the query expansion technique.This paper elaborates query expansion in twitter document retrieval by using the hashtag. We compared the effectiveness of query expansion in four different scenarios: the baseline result using no query expansion, highest scored term in terms of frequency-inverse document frequency (tfidf), maximum hashtag occurance, and combination of the highest scored-term and the maximum hashtag.The results show that the combination of the maximum term in tfidf and the maximum hashtag performs better in retrieving relevant documents than the baseline.
Comparing the benefits of pseudonymisation and anonymisation under the GDPR

Many organisations are trying to obtain more value from their data to improve their products and services, offer new ones and optimise their own internal operations. For example, more chief data officers, or similar roles, are being created to drive such data-enabled transitions. With the General Data Protection Regulation (GDPR) in place, these organisations need to determine the lawful basis for such activities. De-identification techniques, such as pseudonymisation and anonymisation, can play an important role in facilitating such secondary uses and disclosures of data. In regard to de-identification, the GDPR introduces nuances that have not previously been seen, recognising the existence of different levels of de-identification and explicitly adding references to pseudonymisation as an intermediate form of de-identification. This paper explores the nuances introduced by the GDPR, compares the benefits of the different levels of de-identification found in
Dynamic Alignment of Digital Supply Chain Business Models

A model for managing strategic alignment and dynamic capabilities (DC) of Supply Chain Management (SCM) information systems (IS) has been developed and applied to a traditional German steel company and a highly innovative Austrian steel company. Different concepts of leading researchers have been combined to get a holistic and detailed view of IS capabilities’ impact on strategic fit. The model enables companies to identify ideal levels to strategic fit needed from SC integration and its antecedents for predefining architectural artefacts as sources for dynamic capabilities. The study contributes to new insights into the IT productivity paradox, where possibilities from IS investments remain unused. Essential concepts for optimising SC performance by reducing SC complexity and increasing SC agility have been identified and integrated. The study highlights value enabler and Artificial Intelligence (AI) methods of digital SC models and how the model’s ontology can be used to increase alignment autonomy. Finally, the approach supports organisational learning and development of cognitive profiles through collective assimilation and sensemaking effects.
Generalized temporal sampling with active illumination in optical microscopy

Generalized sampling is a flexible framework for signal acquisition, which relaxes the need for ideal pre-filters. Nevertheless, implementation remains challenging for dynamic imaging applications because it requires simultaneously measuring multiple overlapping inner-products and because only positive signals (intensities) can be measured by cameras. We present a method to collect videos of monochromatic objects by projecting the incoming signal at each pixel in a temporal B-spline space of degree 0, 1, or 2 by using a conventional RGB camera and a modulated three-color light source for illumination. Specifically, we solve the basis function overlap problem by multiplexing the acquisition in different color ranges and use B-spline pieces (which are positive) as projection kernels of a biorthogonal projection-expansion bases pair. The steps to recover signal samples include spectral unmixing and inverse filtering. Reconstructions we obtained from simulated and experimentally-acquired microscopy data demonstrate the feasibility of our approach.
Performance Analysis of Array Multipliers Using Different Logic Configurations

Power and speed are the two important design aspects that impact the designing of any circuits. One of the most widely used arithmetic operations in digital circuits is multiplication. There are different multipliers designed depending on the speed and the hardware. There are different technologies with different features. In this paper 4-bit and 8-bit array multipliers are been designed using different designing techniques. The multipliers are designed using CMOS logic configuration, pseudo-NMOS logic configuration and transmission gate logic configuration and are compared in terms of power and delay. The power delay product (PDP) gives the overall performance of the Multipliers.
A multi-layer approach to opinion polarity classification using augmented semantic tree kernels

ABSTRACT Tremendous increase in user-generated content (UGC) published over the web in the form of natural language has posed a formidable challenge to automated information extraction (IE) and content analysis (CA). Techniques based on tree kernels (TK) have been successfully used for modelling semantic compositionality in many natural language processing (NLP) applications. Essentially, these techniques obtain the similarity of two production rules based on exact string comparison between the peer nodes. However, semantically identical tree fragments are forbidden even though they can contribute to the similarity of two trees. A mechanism needs to be addressed that accounts for the similarity of rules with varied syntax and vocabulary holding knowledge that are relatively analogous. In this paper, a hierarchical framework based on document object model (DOM) tree and linguistic kernels that jointly address subjectivity detection, opinion extraction and polarity classification is addressed. The model proceeds in three stages: during first stage, the contents of each DOM tree node is analysed to estimate the complexity of vocabulary and syntax using readability test. In second stage, the semantic tree kernels extended with word embeddings are used to classify nodes containing subjective and objective content. Finally, the content returned to be subjective is further examined for opinion polarity classification using fine-grained linguistic kernels. The efficiency of the proposed model is demonstrated through a series of experiments being conducted. The results reveal that the proposed polarity-enriched tree kernel (PETK) results in better prediction performance compared to the conventional tree kernels.
Structural-attentioned LSTM for action recognition based on skeleton

In this paper, the Spatio-Temporal graph of Structural-RNN[6] is developed and applied to action recognition task. We proposed a Structural-Attentioned LSTM network by adding joints, changing the specific connection mode in the original spatio-temporal graph, and introducing attention mechanism to enable the network to select edges with best representation of action automatically. We take multiple experiments on the public dataset JHMDB[10] to verify the validity of our model, achieved good results when only limited features were used.
Breast Reconstruction Using a 3-dimensional Absorbable Mesh Scaffold and Autologous Fat Grafting: A Composite Strategy Using Tissue Engineering Principles

Breast reconstruction remains an important field in plastic surgery, with most procedures using implants and/or autologous tissue. Few series report on experience with fat grafting as the primary form of breast reconstruction. The present article describes a new method of breast reconstruction using a three-dimensional absorbable mesh construct-or Lotus scaffold-and autologous fat grafting. A retrospective review was performed for all patients who underwent breast reconstruction using the Lotus scaffold and autologous fat grafting. Postoperative mammograms and magnetic resonance imaging scans were analyzed. Tissue specimens collected at subsequent procedures were harvested and stained with hematoxylin and eosin for histologic evaluation. Lastly, compression testing of the scaffold was performed using a tensiometer and digital tracking technology. Twenty-two patients underwent reconstruction of 28 breasts using the Lotus scaffold and autologous fat grafting between February of 2015 and February of 2018. Average follow-up was 19 months. All patients were satisfied with final breast shape and size. Mean patient age was 60.5 years and the average body mass index was 28 kg/m. Patients required on average two fat grafting sessions to achieve a successful result (range, zero to four). Postoperative mammography and magnetic resonance imaging showed robust adipose tissue in the breast with a slowly resorbing mesh and no oil cysts or calcifications. Histologic evaluation showed the presence of fat tissue around the scaffold and no evidence of capsule formation. Compression testing revealed the Lotus scaffold to be compliant with a high-resilience profile. The Lotus scaffold with autologous fat grafting is a viable method for breast reconstruction, giving the patient an autologous reconstruction with less morbidity compared to free tissue transfer. CLINICAL QUESTION/LEVEL OF EVIDENCE:: Therapeutic, IV.
Do Potential Migrants Internalise Migrant Rights in OECD Host Societies?

This paper analyses how countries' provision of migrant rights affects potential migrants' destination choice. Combining data on bilateral migration desires from over 140 origin countries and data on migrant rights in 38 destination countries over the period 2007-2014, we find that potential migrants tend to favor destinations that are more open to the inclusion of immigrants into their society. In particular, better access to and conditions on the labour market, as well as access to nationality and to permanent residency significantly increase the perceived attractiveness of a destination country. These results are robust across different specifications and hold for sub-samples of origin countries as well as of destinations. Moreover, some results vary across types of respondents. Educational opportunities for migrants, for instance, affect the migration desires of individuals aged 15 to 24 years, but less so of individuals in other age groups.
High Performance Work Systems and Public Sector Workplace Performance in Britain

Using nationally representative surveys of workplaces with 50 or more employees we find the adoption of High-Performance Work Systems (HPWS) in the public sector are positively correlated with workplace financial performance and the implementation of workplace organizational change. The associations are stable in 2004 and 2011, despite the intervening recession and cuts in public finance. The results are thus broadly consistent with studies finding similar positive correlations between HPWS and workplace performance in the private sector. There was little heterogeneity in effects across sectors within the public sector, with the exception of health services where the effects of HPWS on workplace change were lower.
Socio-Economic Impacts of Event Failure: The Case of a Cancelled International Cycling Race

The organization of large-scale sporting events implies different benefits and costs for hosting communities. However, little effort has been devoted to studying the impacts of event failures or postponed or cancelled events from the perspective of local residents. This paper is therefore concerned with the range of local residents’ perceived impacts resulting from the cancellation of the 2019 edition of the international men’s cycling race Tour of Croatia. In addition, it also examines if any significant differences exist between local residents familiar with the race and cancelling and local residents not familiar with the race, regarding the perceived impacts of this cancelled event on the hosting community. The number of perceived impacts was reduced by Exploratory Factor Analysis. Differences between local residents familiar with and those not familiar with the race and its cancelation were examined using the two-independent-samples Mann-Whitney U test. The results suggest that local residents not familiar with the event and its cancelation, when compared with local residents familiar with the event and its cancellation, perceive the majority of negative impacts as being weaker and most of the positive impacts as being stronger.
Positive Self-Relation Scale – development and psychometric properties

Purpose Self-relation is a profound connection that influences one’s life. As such, it presents an important topic for various areas of research and psychotherapy. The goal of this study was to develop and evaluate a brief scale that would assess positive aspects of self-relation. Sample and methods The Positive Self-Relation Scale (PSRS) consists of 16 items divided into 4 subscales – Self-Acceptance, Self-Confidence, Authenticity and Assertiveness, and Fulfilled Experience. Two samples were used for the evaluation of its content and factor structure. The final sample’s data used for validation assessment. This sample consisted of 1234 adults from a general population (mean age 34.8±14.2 years, 70.8% women). All participants completed PSRS. Subgroups also filled in Rosenberg Self-Esteem Scale (RSES), Adult Dispositional Hope Scale (ADHS), Beck Depression Inventory-II (BDI-II), Liebowitz Social Anxiety Scale (LSAS), and Dissociative Experiences Scale (DES). Results Differences in scores among demographic groups were small to none. Internal consistency was good (Composite Reliability Coefficients – the whole scale: 0.93; the subscales: 0.73–0.80). Temporal stability, assessed 2 weeks apart, was satisfactory (intraclass correlation coefficients – the whole scale: 0.86, the subscales: 0.60–0.82). Factor loadings in confirmatory factor analysis were 0.45–0.80, fit indices mostly showed an adequate model. The correlation coefficients between PSRS and RSES/ADHS were strong (r=0.79/0.55). The scale also strongly correlated with LSAS, BDI-II, and DES (r=−0.61/-0.48/-0.30, all ps<0.001). Conclusion PSRS showed adequate psychometric properties in the general population. Future studies should include clinical samples. The areas of application lie mainly in research and psychotherapy.
Conceptualizing and Validating Information Security Culture as a Multidimensional Second-Order Formative Construct

This paper discusses a pilot study on conceptualization and validation of Information Security Culture (ISC) as a multidimensional second-order formative construct. The concept was developed in our previous works, and is based on widely accepted concepts of Organizational Culture and ISC. The model is validated using samples from employees of one Malaysia Public University. The Partial Least Squares Approach to Structural Equation Modeling (PLSSEM) using Smart-PLS software was used to model and analyse the data. The ISC construct was treated as reflective formative second-order construct and analysed using the latest approach in PLS-SEM. The findings empirically support the conceptualization and validation of ISC as a reflective formative second-order construct with all seven dimensions being significant in contributing to the underlying concept of ISC. The study contributes to the ISC literature by providing new insights on the conceptualization, operationalization and validation of ISC the concept based on widely accepted concepts and approaches.
The automatic processing of the texts in natural language. Some bibliometric indicators of the current state of this research area

This work reviews the bibliometric indicators of a rapidly developing field of research as automatic text processing (Natural language processing). The differential indicators of speed and acceleration were used to evaluate the development dynamics of NLP domains. The evaluation was based on the data from the Science direct bibliometric database. The evaluation of the Russian research segment was conducted according to e-library data. The calculations for the following subdomains of NLP were performed: Grammar Checking, Information Extraction, Text Categorization, Dialog Systems, Speech Recognition, Machine Translation, Information Retrieval, Question Answering, Opinion Mining, Smart advisors and others. The areas with high growth rates (Grammar Checking, Information Extraction, Machine Translation and Question Answering) and the areas that have lost the previously existing dynamics of growth of the publication activity (Information Retrieval, Opinion Mining, Text Categorization) have been identified.
The Evolution of Morals Under Indirect Reciprocity

We study the coexistence of strategies in the indirect reciprocity game where agents have access to second-order information. We fully characterize the evolutionary stable equilibria and analyze their comparative statics with respect to the cost-benefit ratio (CBR). There are indeed only two stable sets of equilibria enabling cooperation, one for low CBRs involving two strategies and one for higher CBR's which involves two additional strategies. We thereby offer an explanation for the coexistence of different moral judgments among humans. Both equilibria require the presence of second-order discriminators which highlights the necessity for higher-order information to sustain cooperation through indirect reciprocity. In a laboratory experiment, we find that more than 75% of subjects play strategies that belong to the predicted equilibrium set. Furthermore, varying the CBR across treatments leads to changes in the distribution of strategies that are in line with theoretical predictions.