Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks

Empirical evidence suggests that heavy-tailed degree distributions occurring in many real networks are well-approximated by power laws with exponents $\eta$ that may take values either less than and greater than two. Models based on various forms of exchangeability are able to capture power laws with $\eta < 2$, and admit tractable inference algorithms; we draw on previous results to show that $\eta > 2$ cannot be generated by the forms of exchangeability used in existing random graph models. Preferential attachment models generate power law exponents greater than two, but have been of limited use as statistical models due to the inherent difficulty of performing inference in non-exchangeable models. Motivated by this gap, we design and implement inference algorithms for a recently proposed class of models that generates $\eta$ of all possible values. We show that although they are not exchangeable, these models have probabilistic structure amenable to inference. Our methods make a large class of previously intractable models useful for statistical inference.Comment: Accepted for publication in the proceedings of Conference on Uncertainty in Artificial Intelligence (UAI) 201

Probabilistic symmetries and invariant neural networks

Treating neural network inputs and outputs as random variables, we characterize the structure of neural networks that can be used to model data that are invariant or equivariant under the action of a compact group. Much recent research has been devoted to encoding invariance under symmetry transformations into neural network architectures, in an effort to improve the performance of deep neural networks in data-scarce, non-i.i.d., or unsupervised settings. By considering group invariance from the perspective of probabilistic symmetry, we establish a link between functional and probabilistic symmetry, and obtain generative functional representations of probability distributions that are invariant or equivariant under the action of a compact group. Our representations completely characterize the structure of neural networks that can be used to model such distributions and yield a general program for constructing invariant stochastic or deterministic neural networks. We demonstrate that examples from the recent literature are special cases, and develop the details of the general program for exchangeable sequences and arrays.Comment: Revised structure for clarity; fixed minor mistakes; incorporated reviewer feedback for publicatio

Leaf venation networks of Bornean trees: images and hand-traced segmentations.

The data set contains images of leaf venation networks obtained from tree species in Malaysian Borneo. The data set contains 726 leaves from 295 species comprising 50 families, sampled from eight forest plots in Sabah. Image extents are approximately 1 × 1 cm, or 50 megapixels. All images contain a region of interest in which all veins have been hand traced. The complete data set includes over 30 billion pixels, of which more than 600 million have been validated by hand tracing. These images are suitable for morphological characterization of these species, as well as for training of machine-learning algorithms that segment biological networks from images. Data are made available under the Open Data Commons Attribution License. You are free to copy, distribute, and use the database; to produce works from the database; and to modify, transform, and build upon the database. You must attribute any public use of the database, or works produced from the database, in the manner specified in the license. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the database and keep intact any notices on the original database

A Systematic Literature Review of the Overseas Chinese family business : The past, present and future

The literature of the family business field has been around for quite some time. However, the increasingly attention on China has led to the growth of the literature of the Asian family business literature, notably East Asian and South East Asian family business. Gedajlovic et al. (2012) argues that while there is a growth in the body of the family business research by leading journals, the work that has been done does not fully integrate with organizational sciences. Several authors argues the need of a revolutionary and innovative methodology, along with a more diversified subjects and sample and in a larger geographical coverage. This also calls for an understanding on the knowledge of the past as in to build on for an even better future research work (Benavides-Velasco et al., 2013; Litz et al., 2012). This paper puts forth the viewpoint of a comparative analysis of the overseas Chinese family business field in complement with the family business research field, given that the ever increasing importance of ethnic Chinese family business globally. The paper will be divided into six parts, where we will first be introduced to the current research field of family business and the overseas Chinese family business. The second part will be the literature review, where it will discuss the directions and trends that has been surrounding the field, and discuss further on the family business and its economic importance, along with the overseas Chinese and the firms. The third part of this paper will look into the methodological aspects of the research work, where we shall utilize the Systematic Literature Review (SLR) in aiding the analysis of the articles that will be used in this comparative study. The fourth part of this paper will be the results and findings that were produced from the analysis in the previous part and this will then lead to the discussion and conclusion of the paper. In this paper, there are few questions that I am seeking to answer. The first would be the current stage of the research field in regarding to theoretical and empirical knowledge. Second, the work that has been done in the family business research field until now. Lastly, the present and future direction of the field of family business research

A preliminary study of the effects of personality traits on workplace deviance in the voluntary sector

The purpose of this study was to empirically investigate a set of personality traits in relation to workplace deviance among volunteers at one of the Malaysia’s Emergency Relief departments.Across-sectional survey was conducted with self-reported questionnaire.The participants were 200 volunteers attached to six emergency relief centers in Peninsular Malaysia. Data were analyzed using SPSS version 19.0 software. Data analysis procedures; descriptive statistics, Pearson product-moment correlation and hierarchical multiple regression analysis were conducted.The findings confirmed the importance of taking personality traits into consideration during the process of recruitment of volunteers to minimize workplace deviance.This study contributes on the crucial role of volunteers’ personality traits that can be an imperative factor to minimize workplace deviance

Linking functional traits to multiscale statistics of leaf venation networks

Funding Information UK Natural Environment Research Council. Grant Number: NE/M019160/1 US National Science Foundation. Grant Number: DEB‐2025282 NERC Human‐modified Tropical Forest Programme. Grant Number: NE/M017508/1 Biodiversity And Land‐use Impacts on Tropical Ecosystem Function (BALI). Grant Numbers: NE/K016253/1, NE/K016253/1 Sime Darby Foundation Stability of Altered Forest Ecosystems (SAFE) Project Sabah Biodiversity Council Institute for Tropical Biology and Conservation (ITBC) at the University of Malaysia, Sabah (UMS) Sabah Forest Research Centre (FRC) at Sepilok Sabah Forestry Department SEARRP, Yayasan Sabah (Maliau Basin Conservation Area) Maliau Basin and Danum Valley Management Committees Acknowledgements Fieldwork was supported by Unding Jami, Matheus Henrique Nuñes, Rudi Saul Cruz Chino, Milenka Ximena Montoya, and South East Asia Rainforest Research Program (SEARRP) staff. Research was facilitated by Rob Ewers, Laura Kruitbos, Reuben Nilus, Glen Reynolds, and Charles Vairappan. Species identifications were made by Bernadus Bala Ola, Bill McDonald, Alexander Karolus, and MinSheng Khoo. This work also was supported by the UK Natural Environment Research Council (NERC; no. NE/M019160/1, to BB) and the US National Science Foundation (no. DEB‐2025282, to BB). This publication is a contribution from the NERC Human‐modified Tropical Forest Programme (no. NE/M017508/1, to YAT) and Biodiversity And Land‐use Impacts on Tropical Ecosystem Function (BALI) consortium (no. NE/K016253/1, to YM and no. NE/K016253/1, to YAT). The SAFE Project was funded by the Sime Darby Foundation and the UK NERC. The study areas are part of the Global Ecosystems Monitoring Network (GEM) via an ERC Advanced Investigator Award to YM (no. 321131). The project also was supported by the Stability of Altered Forest Ecosystems (SAFE) Project, the Sabah Biodiversity Council (SaBC, permits JKM/MBS.1000‐2/2 JLD.3‐126 and ‐154), the Institute for Tropical Biology and Conservation (ITBC) at the University of Malaysia, Sabah (UMS), the Sabah Forest Research Centre (FRC) at Sepilok, the Sabah Forestry Department, the SEARRP, Yayasan Sabah (Maliau Basin Conservation Area), and the Maliau Basin and Danum Valley Management Committees. Sean Gleason and several anonymous reviewers provided constructive feedback on the manuscript.Peer reviewedPublisher PD

Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation

This article presents a probabilistic hierarchical clustering model for morphological segmentation In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of word morphology as a collection of tree structured paradigms. The model is fully unsupervised and based on the hierarchical Dirichlet process. Tree hierarchies are learned along with the corresponding morphological paradigms simultaneously. Our model is evaluated on Morpho Challenge and shows competitive performance when compared to state-of-the-art unsupervised morphological segmentation systems. Although we apply this model for morphological segmentation, the model itself can also be used for hierarchical clustering of other types of data

Acute pancreatitis as an initial presentation of SLE: a case report

Background: SLE is a complex multi- systemic autoimmune disease capable of affecting any organ system with varying presentations. Abdominal pain is a common manifestation of SLE and is reported to occur in about 8% to 40% of patients with SLE. The causes of abdominal pain are varied and require accurate assessment. Acute Pancreatitis is a cause of abdominal pain and is a rare initial SLE presentation. It is characterized by abdominal pain and raised serum amylase levels. We would like to report a patient diagnosed with SLE following an initial presentation of Acute Pancreatitis, which was complicated with a pancreatic pseudocyst. Case Report: The patient is an 18- year- old lady with no previous known medical illness who presented with a one day history of acute central abdominal pain radiating to the back. This was preceded by a two week history of fever and non- productive cough. Further history revealed that she had alopecia, malar rash and painless oral ulcers one year before this presentation but did not seek medical attention. Physical examination revealed a tender and distended abdomen. Blood investigations showed leukopenia, elevated amylase with a positive Anti- nuclear antibody, and coombs test. She was admitted to the ICU and treated with intravenous cyclophosphamide, methylprednisolone, immunoglobulin, and antibiotics. During her follow- up a month after discharge, she was found to have recurrent abdominal pain and distension. A repeated CT Abdomen showed a pancreatic pseudocyst, and she underwent an endoscopic cystogastrostomy. Currently, she is on regular follow- up and is currently maintained on Hydroxychloroquine, Azathioprine, and Prednisolone. Conclusion: In summary, Acute Pancreatitis is a relatively rare initial manifestation of SLE. The causes of Acute Pancreatitis are varied, and it is essential to recognize and differentiate Acute Pancreatitis due to active SLE from other causes as it may affect treatment decisions and subsequent mortality outcomes

Clinical features of patients with rheumatic diseases and COVID-19 infection in Sarawak, Malaysia

We read with great interest the article by Ye et al1 describing the clinical features and outcomes of patients with rheumatic diseases and COVID-19 in Wuhan, China. It concluded that length of hospital stay and mortality were similar between patients with rheumatic diseases and non-rheumatic groups, while respiratory failure was more common in patients with rheumatic diseases infected with COVID-19. D’Silva et al2 and Zhao et al3 subsequently highlighted the differences of clinical severity and outcomes in their respective cohorts of patients with rheumatic diseases and COVID-19. Fredi et al4 presented data from northern Italy which supported an association of elderly age and the presence of comorbidities with a poor outcome of COVID-19 infection, rather than the type of rheumatic disease or background medications. The Global Rheumatology Alliance5has recently published data of characteristics associated with hospitalisation for COVID-19 among patients with rheumatic diseases. We would like to share the clinical course of COVID-19 among patients with rheumatic diseases in Sarawak

Arthritis as an initial presentation of malignancy: two case reports

Abstract Background: Arthritis is rarely reported as a paraneoplastic manifestation of occult malignancy. We report herein two cases of paraneoplastic arthritis due to occult malignancy. Case 1: The patient was a 65-year-old woman of asian descent who was a former smoker with a history of spine surgery performed for L4/L5 degenerative disc disease. She presented with a 1-month history of oligoarthritis afecting both ankle joints and early morning stifness of about 3 hours. Laboratory tests were positive for antinuclear antibody at a titer of 1:320 (speckled) but negative for rheumatoid factor. She was treated for seronegative spondyloarthritis and started on prednisolone without much improvement. A routine chest radiograph incidentally revealed a right lung mass which was found to be adenocarcinoma of the lung. She was treated with geftinib and her arthritis resolved. Case 2: The patient was a 64-year-old woman of asign descent, nonsmoker, who presented with a chief complaint of asymmetrical polyarthritis involving her right wrist, second and third metacarpophalangeal joints, and ifrst to fifth proximal interphalangeal joints. She was treated for seronegative rheumatoid arthritis (RA) and started on sulfasalazine, with poor clinical response. Six months later, she developed abdominal pain which was diagnosed as ovarian carcinoma by laparotomy. Her arthritis resolved following treatment of her malignancy with chemotherapy. Conclusion: In summary, paraneoplastic arthritis usually presents in an atypical manner and responds poorly to disease-modifying antirheumatic drugs. Accordingly, we recommend screening for occult malignancy in patients presenting with atypical arthritis.