Miracle-dz/UniFAR-FTUs huggingface dataset:
The Collaborative Entrepreneurship Process-a Large Firm Perspective

This qualitative, single embedded case study examines collaborative entrepreneurship as a process in a large firm. Theory on corporate entrepreneurship is integrated with partnership literature to advance the understanding of collaborative entrepreneurship as a strategic decision. First, we propose a theory-induced model of the collaborative entrepreneurship process. Four stages of the collaborative entrepreneurial process were identified for empirical examination: (1) why large firms engage in collaborative entrepreneurship (2) how partners are evaluated (3) factors influencing the collaboration and, (4) collaborative output. In doing so, this study significantly contributes to our understanding of what the elements and underlying factors forming the collaborative entrepreneurship process are. The empirical study finds that large firms engage in collaborative entrepreneurship due to entrepreneurial orientation and a need for resources, which in our case firm were induced by strategic changes transitioning the firm from a buyer-supplier context to increasingly engage in partnerships. Partner fit is evaluated in terms of complementarity, compatibility, and overlaps; the factors influencing collaboration were relational capital, the interdependence, and joint combinatory efforts. The final process, the collaborative output; was defined by innovation, partnering experience and standardisation. This study is built on rich data collected through in-depth and semi-structured interviews together with secondary sources to ensure triangulation. Theoretical and managerial implications are discussed and a theory induced model and an empirical model with theoretical implications are suggested.
ON THE FOUR ELEMENTS OF TUNNEL SAFETY : FIRE , AIR , WATER AND EARTH

Based on an assessment of the tunnel safety in terms of the four elements: fire, air water and earth, some principal aspect regarding tunnel safety have been established. With respect to tunnel equipment, it appears that rapid fire detection and the subsequent swift tunnel closure for incoming traffic is a main element. In case of fire, it should be expected that active information of tunnel users is required and for this purpose the loudspeakers of the type SLASS are to be considered. The emergency exists need to be attractive to use and should distinguish themselves from the service doors. In case of unidirectional traffic that is never congested, longitudinal ventilation is appropriate for smoke management. Otherwise, smoke extraction is more favourable. Fixed fire fighting systems can be installed to reduce the impact of tunnel fires on the tunnel structure and in order to increase the level of safety for the tunnel users.
CRITICAL ASSESSMENT OF TECHNIQUES FOR PROTEIN STRUCTURE PREDICTION

for details). In cases where targets were predicted to have multiple domains, the full chain models were split into component domains and re-ranked using ModFOLDclust2. The hybrid multi-domain models were constructed using the original full chain models to structurally align domains in the same frame of reference. Homoand Hetero-Multimer Predictions: Our multimeric prediction protocol made use of the ModFOLDclust2 selected 3D server models and the lists of templates generated by our IntFOLD3 server (see our IntFOLD3 abstract for details). The homo-multimeric modeling for each target involved: 1. Ranking 3D model-template alignments according to their combined mean coverage and TM-scores using TM-align 2. Extracting the multimeric state information for each template from PISA 3. Filtering templates based on the PISA multimeric assembly annotation and on set TM-score thresholds. 4. Building N-meric model assemblies based on selected N-mer PISA templates, using TM-align and PyMOL (http://www.pymol.org) to
Surfactant-Free Synthesis of Reduced Graphene Oxide Supported Well-Defined Polyhedral Pd-Pt Nanocrystals for Oxygen Reduction Reaction

Well-defined polyhedral Pd-Pt nanocrystals anchored on the reduced graphene oxide (rGO) are successfully synthesized via a facile and efficient surfactant-free solvothermal route. The formation mechanism is carefully illustrated via tuning the surface state of rGO substrate and the Pd/Pt ratio in Pd-Pt nanocrystals. rGO substrates with continuous smooth surface, which can offer continuous 2D larger π electrons, play important roles in the formation of the well-defined polyhedral Pd-Pt nanocrystals. Suitable Pd/Pt ratio, which determines the affinity between the rGO substrate and polyhedral Pd-Pt nanocrystals, is another important factor for the formation of polyhedral Pd-Pt nanocrystals. Due to the well-defined surface of Pd-Pt nanocrystals, rich corners and edges from polyhedral structure, as well as more exposed (111) facets, the low-Pt polyhedral Pd-Pt nanocrystals anchored on rGO, used as electrocatalysts, exhibit high electrocatalytic activity for oxygen reduction reaction with excellent methanol tolerance.
QUALITY OF EVIDENCE ASSESSMENT AND CLASSIFICATION OF RECOMMENDATIONS AS DEFINED BY THE CANADIAN TASK FORCE ON PREVENTIVE HEALTH CARE Quality of evidence assessment Recommendations

Unexplained infertility is a common diagnosis affecting as many as 50% of couples seeking infertility care. As a diagnosis of exclusion, its treatment remains largely empirical. Historically, a step-wise progression in treatment has been initiated with the least invasive, least expensive option followed by a gradual progression to therapies using assisted reproductive technology. In recent years there have been advocates for more rapid-progression IVF. This guideline from the Canadian Fertility and Andrology Society (CFAS) provides comprehensive, evidencebased recommendations for the treatment of unexplained infertility, including expectant management, laparoscopy, intrauterine insemination (IUI) alone, ovarian stimulation with oral agents or gonadotropins alone, ovarian stimulation + IUI, and IVF. The quality of supporting evidence for each recommendation is evaluated using the framework outlined by the Canadian Task Force on Preventive Health Care. This guideline recognizes that the therapeutic approach should be individualized taking into account patient age and duration of infertility, and emphasizes those strategies that are most likely to result in a healthy live birth. 2 RBMO VOLUME 00 ISSUE
Influence of Marital Conflicts on Depression among Parents Living With Mentally Retarded Children ( Intellectual Disability )

This study investigated the influence of marital conflict on depression among parents living with mentally retarded children (Intellectual disability). One hundred and eight (108) comprising 61 parents of mentally retarded children and 47 parents of non-retarded children between the ages 28-54 drawn from population of parents with mentally retarded children attending school at the Therapeutic Day Care Center (T. D. C. C.); Evami special school independence layout Enugu and UNTH Ituku Ozalla (OPD section) were used for the study using criterion sampling technique. Omeje (1998) 37-item marital conflict behavior checklist and Radloff (1977) 20-item depression scale were administered. Cross-sectional survey design was used. One Way ANOVA Ftest revealed that parents with normal children presented more depressive symptoms than parents with mentally retarded children, F (1, 106) = 16.23, P< . 05. One way ANOVA F-test as statistical test revealed no significant influence of marital conflict, F (1, 57) = 2.98, P> . 05 on depression among parents with mentally retarded children. Marital conflict significantly influenced F (1,104) =7.70, P> . 05 depressive symptoms among parents who have normal and those who have mentally retarded children. On the basis of these findings, it was been concluded that marital conflict were not determinants of depression among these parents with mentally retarded children. The results were discussed in relation to relevant literature.
Neural correlates of inner speaking, imitating and hearing: an fMRI study

The neural correlates of inner language are still illdefined. Several varieties need further examination: deliberate monologal or dialogical inner speech and unbidden inner language during mind wandering. Using fMRI, we probed varieties of inner speech along dialogicality and intentionality in 24 healthy participants, during five tasks: speech perception, monological self voice inner speech, monological other voice inner speech, dialogical other voice inner speech, and mind wandering with verbal episodes. Results are interpreted within a predictive control account in which intentional inner speech is viewed as deriving from multisensory goals, transformed into motor commands. Efference copies of the inhibited motor commands are converted into predicted percepts (inner voice). Based on the comparison between the five tasks we report the neural correlates of dialogicality and intentionality in inner speech.
Modelling the Enterprise Architecture Implementation in the Public Sector using HOT-Fit Framework

Enterprise architecture is very important to the public sector’s IT systems that are developed, organized, scaled up, maintained and strategized. Despite an extensive literature, the research of enterprise architecture is still at the early stage in public the sector and the reason to explain the acceptance, as well as the understanding of the implementation level of EA services still remains unclear. Therefore, this study examines the implementation of EA by measuring the Malaysian public sector’s influence factors of EA. Grounded by the Human-Organization-Technology (HOT-Fit) Model, this study proposes a conceptual framework by decomposing Human characteristics, Organizational characteristics and Technological characteristics as main categories in assessing the identified factors. A total of 92 respondents in the Malaysian public sector participated in this study. Structural Equation Modelling with Partial Least Square is the main statistical technique used in this study. The study has revealed that human characteristics such as knowledge and innovativeness to EA and technological characteristics such as relative advantage and complexity of EA influence its implementation by the Malaysian public sector. Based on the findings, the theoretical and practical implications of the study as well as limitations and future works are also discussed.
Machine Translation Summit XVII MomenT-2019 – The Second Workshop on Multilingualism at the intersection of Knowledge Bases and Machine Translation

In this paper, we translate the glosses in the English WordNet based on the expand approach for improving and generating wordnets with the help of multilingual neural machine translation. Neural Machine Translation (NMT) has recently been applied to many tasks in natural language processing, leading to state-of-the-art performance. However, the performance of NMT often suffers from low resource scenarios where large corpora cannot be obtained. Using training data from closely related language have proven to be invaluable for improving performance. In this paper, we describe how we trained multilingual NMT from closely related language utilizing phonetic transcription for Dravidian languages. We report the evaluation result of the generated wordnets sense in terms of precision. By comparing to the recently proposed approach, we show improvement in terms of precision.
Influence of Poisson’s Ratio on the Stress vs. Settlement Behavior of Shallow Foundations in Unsaturated Fine-Grained Soils

Poisson’s ratio is typically assumed to be constant for both saturated and unsaturated soils. However, the back-calculated Poisson’s ratio using the relationship between elastic and shear modulus (i.e. the equation for homogeneous, isotropic and linear elastic continuum) published in the literature showed that the Poisson’s ratio is not constant but decreases with the degree of saturation (or increasing suction). In the present study, more focused investigations are undertaken to study the influence of Poisson’s ratio on the stress vs. settlement (SVS) behaviour of shallow foundations in an unsaturated fine-grained (UFG) soil. The FEA are carried out using the software, SIGMA/W (GeoStudio 2007) to better understand the SVS behavior taking account of the influence of Poisson’s ratio for different matric suction values and compared with the model footing tests conducted in an UFG soil. Several suggestions are made with respect to the influence of Poisson’s ratio on the SVS behavior of shallow foundations in the UFG soils based on the results of this study.
Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition

Discrete speech emotion recognition (SER), the assignment of a single emotion label to an entire speech utterance, is typically performed as a sequence-to-label task. This approach, however, is limited, in that it can result in models that do not capture temporal changes in the speech signal, including those indicative of a particular emotion. One potential solution to overcome this limitation is to model SER as a sequence-to-sequence task instead. In this regard, we have developed an attention-based bidirectional long short-term memory (BLSTM) neural network in combination with a connectionist temporal classiﬁcation (CTC) objective function (Attention-BLSTM-CTC) for SER. We also assessed the beneﬁts of incorporating two contemporary attention mechanisms, namely component attention and quantum attention, into the CTC framework. To the best of the authors’ knowledge, this is the ﬁrst time that such a hybrid architecture has been employed for SER. We demonstrated the effectiveness of our approach on the Interactive Emotional Dyadic Motion Capture (IEMOCAP) and FAU-Aibo Emotion corpora. The experimental results demonstrate that our proposed model outper-forms current state-of-the-art approaches.
Optimal Public Policy in an Endogenous Growth Model when Social Discounting is Deemed Immoral

We use an overlapping generations model with physical and human capital to ascertain the consequences for optimality of a social planner adopting a social welfare criterion that treats all generations alike and is respectful of individual preferences. In particular, we consider a social planner who maximizes an non-discounted sum of individual utilities defined over consumption per unit of efficient labour. We show that, given some initial conditions, an economy commanded by such a social planner converges to the Golden Rule defined in this framework. Decentralizing the optimum requires taxing education along the entire growth path and that the intergenerational effects of the optimal policy are equivalent to those of a pay-asyou-go social security system.
Economic Indicators Selection for Property Crime Rates using Grey Relational Analysis and Support Vector Regression

Features selection is very important in the multivariate models because the accuracy of forecasting results produced by the model are highly dependent on these selected features. The purpose of this study is to propose grey relational analysis and support vector regression for features selection. The features are economic indicators that are used to forecast property crime rate. Grey relational analysis selects the best data series to represent each economic indicator and rank the economic indicators according to its importance to the property crime rate. Next, the support vector regression is used to select the significant economic indicators where particle swarm optimization estimates the parameters of support vector regression. In this study, we use unemployment rate, consumer price index, gross domestic product and consumer sentiment index as the economic indicators, as well as property crime rate for the United States. From our experiments, we found that the gross domestic product, unemployment rate and consumer price index are the most influential economic indicators. The proposed method is also found to produce better forecasting accuracy as compared to multiple linear regressions.
MODELLING GRADIENCE IN ENGLISH /r/ VIA STATISTICAL CLASSIFICATION

This experiment assessed the validity of a statistical classification method for automated coding of sociophonetic variables, in particular the presence vs. absence of English non-prevocalic /r/. A random forest classifier was trained on 180 acoustic measures from 5,355 tokens of /r/ (hand-coded as Present or Absent) in a variety of English with variable rhoticity; the classifier achieved 87.9% accuracy on training data. The classifier was then used to predict the probability of /r/ presence in 32,099 additional tokens from the same variety. Eleven phonetically trained listeners judged 60 classifier-coded tokens as Present or Absent. Judgment results indicated a significant positive linear relationship between classifier probability and human judgments; classifier probability also outperformed individual acoustic measures (e.g., F3 minimum) in predicting human judgments. These results both validate this random forest classifier method for automated coding of sociophonetic variables and indicate the viability of modelling phonetic variation using classifier probability.
Primary Caesarian Section in Multipara

Background: caesarian section is one of the most commonly performed operations in modern obstetrics. The first operation performed on a patient is referred to as primary caesarian section, and when operation is performed in subsequent pregnancies, it is called repeat caesarian section. Primary caesarian section in a multipara means caesarian section done for the first time in patients who had delivered vaginally once or more. Aims and objectives: Aim of the present study is the analysis of cases where caesarian section was done for the first time in parous women who had vaginal delivery once or more. Various indications for caesarian section were studied in relation to age, gravidity and maternal, fetal outcome were analyzed. Methods: It is a prospective hospital based study of 186 cases of caesarian section done for the first time in parous women admitted at government general hospital, Vijayawada during the period Jan-Dec, 2014. Cases requiring elective and emergency caesarian sections were included in the present study. Indications for caesarian section, intra-operative details, maternal and fetal outcome were recorded. Analysis of cases in relation to different factors was done. Results: Most of the cases were unbooked and referred as emergency. Most common age group was 20-25 yrs and majority were 2 nd and 3 rd gravidas. Among the various indications for caesarian section in multiparae, fetal distress, abnormal presentations PROM, APH, prolonged labour were the common causes. Conclusion: Even though parous women had previous normal vaginal delivery, there were many complications like increased incidence of malpresentations, CPD, placenta prievia, and others which may need caesarian section. Careful analysis of present pregnancy is needed to improve maternal and fetal outcome.
Comparison of fruit tree richness and abundance as an indicator of food resource availability for the endangered Tauraco bannermani in Mount Oku and Mount Mbam, Western Highlands of Cameroon

The Endangered Bannerman’s Turaco, Tauraco bannermani, is an arboreal montane forest bird, endemic to the Bamenda Highlands and currently facing several threats including selective extraction of trees, some of which are fruit trees on which the bird is known to feed. This study assessed the abundance and species richness of fruit trees known to provide food resources to the Bannerman’s Turaco as a factor contributing to the variation in the population size of the bird between Mt Oku and Mt Mbam. 45 plots where systematically established at each site using the point transect method targeting suitable habitats of Bannerman’s Turaco. In each plot, we identified and recorded all fruit trees known to provide food resources to Bannerman’s Turaco. Diameter at breast height and height of each fruit tree were measured. Data was analysed using Chi-square tests at threshold probability of 5%. Results obtained indicated that fruit trees were significantly more abundant in Mt Oku (n = 531) compared with Mt Mbam (n = 154) (Chisq = 207.49, df = 1 and p = 0.0002). Mt Oku also had a significantly higher fruit tree biomass (Chisq = 5701, df = 1 and p < 0.0002). Similar results were obtained when we controlled for altitude between sites. Of the eight fruit tree species known to provide food resources to Bannerman’s Turaco, we recorded seven at Mt Oku (Allophylus bullatus, Ficus sp, Maesa lanceolata, Podocarpus latifolius, Prunus africana, Schefflera abyssinica and Schefflera mannii) and five at Mt Mbam ( Allophylus bullatus, Ficus sp, Prunus africana, Schefflera abyssinica and Schefflera mannii ). These findings suggest that the significantly higher abundance and biomass of fruit trees contribute to explain the higher population size of Bannerman’s Turaco in Mt Oku compared with Mt Mbam. Hence, conservation efforts to protect this endangered bird should take into consideration the protection of fruit trees on which it feeds. Keywords : Bannerman’s Turaco, Frugivores, Fruit trees, Montane forest, IBAs
International Council for the Exploration of the Sea CM 2002 / R : 03 Immuno-modulators and Probiotics : Alternatives to Chemotherapeutics The selection and potential use of aquatic bacteria as fish probiotics

Fish probiotics can be defined as live microbial cultures which upon addition to the rearing systems through feed or water improves the health of the host. Typically, the efficiency of probiotics is measured as increased survival rates. Both terrestrial and aquatic microorganisms have been suggested and/or tested as fish probiotics, however, the findings are not conclusive. This paper discusses strategies for selection of probionts from the natural fish/fish larvae environment including evaluation of the dominant microflora and occurrence of pathogen-antagonising strains. Further steps in the selection procedure have often focused on the ability of the potential probiont to attach and colonize, however, the present paper discusses possible short-comings of such focus. Instead, model and full scale in vivo trials must be carried out and examples are provided where this approach has been followed. Determining the mechanisms of action of a probiotic culture is essential for evaluation of stability and safety. The need for more detailed, molecular studies in fish probiotics is emphasised. Finally, suggestions are made for areas in aquaculture where the probiotic principle may be applicable.