Miracle-dz/UniFAR-FTUs huggingface dataset:
A Digital Forensics Framework for Facebook Activity Logs

Facebook is one of the most widely used social networks with over two billion active users. According to recent surveys, five new users are created every second on Facebook, of which 3.6% are fake. Fake users are generally created for hiding people's real identity, nonetheless, they are sometimes created to commit illegal activities and cybercrimes. Facebook has lately introduced to their platform a feature called “Activity Logs”. It is a tool that lists all online activities performed by a particular user on his Facebook account including posts, comments, likes, tags, friends added, connections made, location visited, and people searched for.As a result, Facebook Activity Logs can represent valuable forensics evidences as they maintain a history of online user’s behavior. This paper proposes a framework for formalizing, processing, and analyzing Facebook Activity Logs in a digital forensics context. It comprises four processes: 1) an ontology which formally represents the knowledge contained in the Facebook Activity Logs domain using OWL or RDF, 2) an automated data extractor which extracts Activity Logs data into structured XML datasets, 3) a data visualization model with data mining and Social network analysis (SNA) features which discovers intelligence, patterns, and trends from the digital evidences extracted from the Facebook Activity Logs, and 5) a query language which provides abroad retrievalcapabilities for searching the acquired digital evidences. The experiments conducted demonstrated how the Vector Space Model and the Cosine Similarity metric can be used to classify Facebook users' comments as either malicious or innocent. --------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 03-04-2019 Date of acceptance: 18-04-2019 --------------------------------------------------------------------------------------------------------------------------------------
An evaluation of the forecast performance of DSGE and VAR Models: The case of a developing country

This paper estimates a DSGE model and three versions of VAR models (VARX, BVARX and BVAR) to analyze forecasting performance of these models in context of Pakistan. VAR models and a medium-scale DSGE model are estimated using quarterly data (1980Q4-2017Q2). Expanding window recursive out-of-sample forecasts for GDP growth, call money rate, CPI inflation and percent change in exchange rate are generated and compared over the period 2009Q1-2017Q2. Forecasting performance is analyzed by the comparison of bias and root mean squared errors (RMSE). Analysis of forecasting performance over 1-8 quarters forecast horizon reveals that BVAR model provides relatively better forecast in case of GDP growth, interest rate and inflation while BVARX provides more accurate forecast in case of exchange rate. In case of GDP growth, inflation and exchange rate, forecasting performance of DSGE model considerably improves as forecasting horizon expands. For longer forecast horizons, divergence between DSGE and Bayesian VAR forecasts tends to disappear. This implies that DSGE model is more relevant for medium term forecasting rather than short term forecasting. Structural interpretation of DSGE forecast errors reveals that there has been unutilized growth potential in economic activity. This slack in economic activity might be attributable to unnecessarily high interest rate and overvalued exchange rate.
On the Role of Values in Educational Research: a Critique of Two Research Studies

This paper aims to critique the conceptual framework and paradigmatic nature of two studies that report on empirical data to draw conclusions and claim transferability. The focus is placed on the influence of the raft of beliefs and values the researcher brings to the process of research. My main argument is that research can never be value-free, because research frameworks and designs are underpinned by a set of assumptions about the nature of social reality, what good knowledge is, and how to attain it. Researchers are expected to be self-reflexive and state how their values affect the choice of topic and overall design of their inquiry. In this paper, I deconstruct the theoretical underpinnings and methodological decisions the researchers make to shed light on the influential role of values on the process of educational inquiry. To put my discussion in context, I opt to critique Hariri’s (2014) study, which investigates TEFL university instructors’ emotional attitudes to their students, fellow teachers and workplace, and Akbari et al. (2017) exploring EFL teachers’ emotion regulation behaviour in the classroom. Even though the two studies seem to be conducted within a disparate research tradition, I argue that the researchers have similar underlying ontological and epistemological assumptions that necessitate the choice of a particular methodology. I therefore suggest that the researchers’ personal, social and competency values determine the selection of a research methodology. I suggest that researchers should be introspective and explain how their beliefs and hunches have influenced the overall process of inquiry, and what measures were taken to minimize the effects of these preconceived assumptions. The research findings might have wider implications for evidence-based teaching and policy construction.
Spectral signature of brown rust and orange rust in sugarcane

Precision agriculture, making use of the spatial and temporal variability of cultivable land, allows farmers to refine fertilization, control field irrigation, estimate planting productivity, and detect pests and disease in crops. To that end, this paper identifies the spectral reflectance signature of brown rust (Puccinia melanocephala) and orange rust (Puccinia kuehnii), which contaminate sugar cane leaves (Saccharum spp.). By means of spectrometry, the mean values and standard deviations of the spectral reflectance signature are obtained for five levels of contamination of the leaves in each type of rust, observing the greatest differences between healthy and diseased leaves in the red (R) and near infrared (NIR) bands. With the results obtained, a multispectral camera was used to obtain images of the leaves and calculate the Normalized Difference Vegetation Index (NDVI). The results identified the presence of both plagues by differentiating healthy from contaminated leaves through the index value with an average difference of 11.9% for brown rust and 9.9% for orange rust.
IGHT COMMUNITIES AND THEIR DISCOURSE ON T WITTER DURING THE 2018 US MID-TERM ELECTIONS

The alt-right is a far-right movement that has uniquely developed on social media, before becoming prominent in the 2016 United States presidential elections. However, very little research exists about their discourse and organization online. This study aimed to analyze how a sample of alt-right supporters organized themselves in the week before and after the 2018 midterm elections in the US, along with which topics they most frequently discussed. Using community finding and topic extraction algorithms, results indicated that the sample commonly used racist language and antiimmigration themes, criticised mainstream media and advocated for alternative media sources, whilst also engaging in discussion of current news stories. A subsection of alt-right supporters were found to focus heavily on white supremacist themes. Furthermore, small groups of alt-right supporters discussed anime, technology and religion. These results supported previous results from studies investigating the discourse of alt-right supporters.
Jeitinho as a Coping Strategy Used by Brazilian International Students for Dealing with Acculturative Stress

This mixed-method study examined whether Brazilian students in the US use an indigenous problem-solving practice, jeitinho, as a coping strategy for acculturative stress. Forty-two participants answered an online survey, which was a culmination of demographic information, the Acculturative Stress Scale for International Students, BriefCOPE, jeitinho questionnaire, and three open-ended questions about how Americans may perceive jeitinho. Results showed that a negative dimension of jeitinho was associated with nonadaptive coping strategies, but it was not a significant predictor of acculturative stress. Qualitative themes highlighted the multidimensionality of jeitinho, which could help in students’ adjustment (positive) or reinforce stereotypes and prejudices (negative) against Brazilians. Findings elucidate the complexity of jeitinho Brazilian students can be mindful about and when to use it to avoid stereotyping.
Objectively measured physical activity and sedentary time are associated with cardio- metabolic risk factors in adults with pre-diabetes: The PREVIEW study

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Non Invasive Estimation of Glucose by Monitoring Pancreas using NIR Sensor Mrs .

To ensure normal body function, control of blood glucose levels is necessary. A network of various hormones and neuropeptides assure blood glucose. Hormones freed from the brain, pancreas, liver, intestine help to assure glucose level. The pancreas represents a major role in secreting the blood sugar-lowering hormone insulin and its opponent glucagon. However, disturbances in the hormones and peptides involved lead to metabolic disorders such as type 2 diabetes mellitus (T2DM). It is essential to understand the mechanisms underlying the various interactions of biological molecules with blood. Many methods help to measure glucose concentration. To measure the blood glucose level, a new method is proposed through the nanotechnology.
MULTI-OBJECTIVE INTELLIGENT SHOP SCHEDULING METHOD BASED ON PETRI NET AND PARTICLE SWARM OPTIMIZATION

With the increasing production scale of the manufacturing industry, market competition has been much fiercer, and the intelligent scheduling problem of manufacturing workshops has become the core means of enterprise competition, but affected by factors such as processing cost, completion time, machine load and key machine load, it is difficult to find an absolute optimal solution. For this, based on Petri net, the paper establishes the intelligent shop scheduling (ISS) system of manufacturing workshop. Through the simulation experiment of data, the comparative analysis was conducted to validify the Petri net-based particle swarm optimization (PSO) algorithm. The results demonstrate that the Petri net-based PSO algorithm has better global search ability and higher iterative speed. fast. Compared with the genetic algorithm, this algorithm can find the only absolute optimal solution, which is superior to the genetic algorithm in terms of maximum completion time, total processing cost and maximum machine load. It’s also found that the Petri net-based PSO algorithm is more effective/valid when it’s used to solve the multi-objective ISS in actual production.
Structural Empowerment: A Qualitative Inquiry Into the Work Life of the Oncology Nurse

Through the lens of Kanter’s theory of structural empowerment, this study sought to explore oncology nurses’ perceptions of structural empowerment and their insights on how existing structures provide support, opportunities, information, and resources needed to get their work accomplished and impact the delivery of safe quality care. The research sought to examine the extent to which oncology nurses believe they are working within this prescribed environment. Through qualitative research methods, this study used in-depth interviews to explore seven oncology nurses’ perceptions of structural empowerment. The research questions were: (a) What are oncology nurses’ perceptions of structural empowerment? and (b) How do oncology nurses perceive themselves as having the information, support, opportunities, and resources needed to get their job done? The findings showed that: (a) shared governance structures were highlighted as existing and empowering, (b) promotion of continued professional development and growth exists, (c) autonomy is encouraged at the direct-care level and welcomed by many, (d) a presence of effective communication and receipt of information was noted, but opportunities for improvement were made, and (e) participation in the delivery of oncology care is very rewarding but emotionally challenging. Recommendations were made to improve the inter-connectedness between the unit-based and departmental councils; evaluate to see if professional development and growth structures are meeting organizational and individual needs; create a more situational leadership approach to supervising staff to increase staff competency level; and further investigate the concepts of empathy, setting emotional boundaries, and building resiliency as they relate to structure of empowerment for oncology nurses. Degree Type Dissertation Degree Name Doctor of Education (EdD) Department Executive Leadership First Supervisor Claudia L. Edwards Second Supervisor Carleen Evans Subject Categories Education This dissertation is available at Fisher Digital Publications: http://fisherpub.sjfc. edu/education_etd/214 Structural Empowerment: A Qualitative Inquiry Into the Work Life of the Oncology Nurse
Energy dependent $\gamma$-ray morphology in the pulsar wind nebula HESS J1825–137

Aims. We present results from deep $\gamma$-ray observations of the Galactic pulsar wind nebula HESS J1825-137 performed with the HESS array. Methods. Detailed morphological and spatially resolved spectral studies reveal the very high-energy (VHE) $\gamma$-ray aspects of this object with unprecedented precision. Results. We confirm previous results obtained in a survey of the Galactic Plane in 2004. The $\gamma$-ray emission extends asymmetrically to the south and south-west of the energetic pulsar PSR J1826-1334 , that is thought to power the pulsar wind nebula. The differential $\gamma$-ray spectrum of the whole emission region is measured over more than two orders of magnitude, from 270 GeV to 35 TeV, and shows indications for a deviation from a pure power law. Spectra have also been determined for spatially separated regions of HESS J1825-137. The photon indices from a power-law fit in the different regions show a softening of the spectrum with increasing distance from the pulsar and therefore an energy dependent morphology. Conclusions. This is the first time that an energy dependent morphology has been detected in the VHE $\gamma$-ray regime. The VHE $\gamma$-ray emission of HESS J1825-137 is phenomenologically discussed in the scenario where the $\gamma$-rays are produced by VHE electrons via Inverse Compton scattering. The high $\gamma$-ray luminosity of the source cannot be explained on the basis of constant spin-down power of the pulsar and requires higher injection power in past.
Herpetological Bulletin

A six year survey of a palmate newt (Lissotriton helveticus) population in rock pools on the west coast of Scotland indicates that this species has some tolerance of saline conditions. The newts were living with a mean salinity (conductivity) of 382 ppm (range 30.7 ppm to >4995 ppm). Other interesting observations include a variation in mating behaviour, in which normal open water behaviour is confined to crevices, and the occurrence of ‘pelvic bumps’ in some individuals that may indicate reduced body condition. Figure 1. The survey site showing the complex of rock pools on a Torridonian sandstone platform at Kirkton Bay
Reversible Data Hiding Scheme using Prediction Error Expansion in Pixel Value Blocking and Ordering

This paper presents a better reversible data hiding method depending on pixel value ordering and prediction-error expansion technique. A host image is first segmented into non-overlapping sub-blocks of adjacent three pixels and ordered them as ascending order. For each sub-block, the maximum pixel value is predicted by the second maximum pixel value. Then the second maximum pixel value is predicted by the minimum pixel value or minimum pixel value is predicted by the second maximum pixel value. Then by using prediction-error expansions, we can insert one or two secret bits into every sub-block pixels and also we can recover the hidden secret bits and restore the cover image fully from watermarked image. Experimental results of this method demonstrate that the embedding capacity and PSNR value is larger than another pixel value ordering and prediction error expansion based approach. Also, the visual quality of the obtained marked image is better than other PVO and PEE based method.
Depth data improves non-melanoma skin lesion segmentation and diagnosis

Examining surface shape appearance by touching and observing a lesion from different points of view is a part of the clinical process for skin lesion diagnosis. Motivated by this, we hypothesise that surface shape embodies important information that serves to represent lesion identity and status. A new sensor, Dense Stereo Imaging System (DSIS) allows us to capture 1:1 aligned 3D surface data and 2D colour images simultaneously. This thesis investigates whether the extra surface shape appearance information, represented by features derived from the captured 3D data benefits skin lesion analysis, particularly on the tasks of segmentation and classification. In order to validate the contribution of 3D data to lesion identification, we compare the segmentations resulting from various combinations of images cues (e.g., colour, depth and texture) embedded in a region-based level set segmentation method. The experiments indicate that depth is complementary to colour. Adding the 3D information reduces the error rate from 7.8% to 6.6%. For the purpose of evaluating the segmentation results, we propose a novel ground truth estimation approach that incorporates a prior pattern analysis of a set of manual segmentations. The experiments on both synthetic and real data show that this method performs favourably compared to the state of the art approach STAPLE [1] on ground truth estimation. Finally, we explore the usefulness of 3D information to non-melanoma lesion diagnosis by tests on both human and computer based classifications of five lesion types. The results provide evidence for the benefit of the additional 3D information, i.e., adding the 3D-based features gives a significantly improved classification rate of 80.7% compared to only using colour features (75.3%). The three main contributions of the thesis are improved methods for lesion segmentation, non-melanoma lesion classification and lesion boundary ground-truth estimation.
LABORATORY STUDY ON CCN EFFICIENCY OF AEROSOL PARTICLES SIMULATING WOOD COMBUSTION PARTICLES

WOOD COMBUSTION PARTICLES S. Henning, H. Wex, F. Stratmann, C. Wennrich, D. Rose, U. Dusek, G. P. Frank, U. Pöschl, A. Kristensson, M. Bilde, T. Hennig, R. Tillmann, A. Kiendler-Scharr, Th. F. Mentel, A. Kiselev, S. Walter, J. Schneider, J. Snider Leibniz Institute for Tropospheric Research, Permoserstr. 15, 04318 Leipzig, Germany Max Planck Institute for Chemistry, Biogeochemistry Department, P.O. Box 3060, 55020 Mainz, Germany Department of Chemistry, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark Research Centre Jülich, ICG-II: Troposphere, Leo-Brandt-Str. , 52425 Jülich, Germany Max Planck Institute for Chemistry, Particle Chemistry Department, P.O. Box 3060, 55020 Mainz, Germany University of Wyoming, Department of Atmospheric Science, Dept. 3038, 1000 E. University Ave., Laramie, WY 82071, USA.
The nexus between labor reallocation and sectoral productivities in Pakistan: 1980 to 2007

This paper empirically studies the labor allocation between rural and urban sectors due to economic growth in one of the least developed economies, Pakistan. The paper adopts a time-series analysis from 1980 to 2007, to study the causal impact of sectoral productivities on labor reallocation among sectors. The results indicate that labor productivity in manufacturing induces labor mobility from agriculture to manufacturing. The results also support the view that improvement in labor productivity in the agricultural sector pushes labor allocation to non-agricultural sectors. Key words: Labor reallocation, sectoral productivity, exports, Pakistan.
Knowledge Presentation in Thesis Writing—Examining Move Use in Reviewing Literature

文獻回顧章節是學術論文寫作中讀寫過程困難度較高的一章節，因此研究生普遍視為畏途。 文獻回顧的語步分析在過去文獻中尚未受到重視。 此外，過去文獻多著重於英文期刊論文的探討分析而對研究生論文寫作分析較少。 因此研究生的論文寫作特色及應給予的指導所知有限。 本論文旨在分析臺灣英語教學碩士研究生所撰寫的碩士論文中文獻回顧章節之語步結構。 本論文提出兩個研究問題：（1） 臺灣英語教學碩士論文文獻回顧章節之語步結構為何？ （2）主要語步與次要語步出現的頻率為何？ 本論文選出30篇臺灣英語教學碩士論文中文獻回顧章節做語步分析。 本研究發現文獻回顧章節有四個主要語步。 這四個主要語步分別為：（1）領域知識觀念介紹，（2）用主題方式整合過去之文獻，（3）聯結過去文獻與將進行之研究之關係，及（4）宣布將進行研究。 每個主要語步下有數個次要語步。 本論文顯示第一語步使用的最為廣泛占56. 96%，第二語步佔22. 39%，第三語步與第四語步各為11. 74%與8. 91%。 結果發現語步的使用多是在呈現領域的既有知識，而整合知識，批判及明確指出該研究重要性相對較少。 本論文之研究結果可提供台灣英語教學碩士論文寫作教師與研究生做為碩士論文文獻回顧章節之語步結構，並可提供論文指導者應加強碩士生之文獻分類、文獻批判及指出未來要做研究重要性這三個語步。
OntoLDA: An Ontology-based Topic Model for Automatic Topic Labeling

Topic models, which frequently represent topics as multinomial distributions over words, have been extensively used for discovering latent topics in text corpora. Topic labeling, which aims to assign meaningful labels for discovered topics, has recently gained significant attention. In this paper, we argue that the quality of topic labeling can be improved by considering ontology concepts rather than words alone, in contrast to previous works in this area, which usually represent topics via groups of words selected from topics. We have created: (1) a topic model that integrates ontological concepts with topic models in a single framework, where each topic is represented as a multinomial distribution over concepts and each concept is a multinomial distribution over words, and (2) a topic labeling method based on the ontological meaning of the concepts included in the discovered topics. In selecting the best topic labels, we rely on the semantic relatedness of the concepts and their ontological classifications. The results of our experiments conducted on two different data sets show that introducing ontological concepts as additional, richer features between topics and words and describing topics in terms of concepts offers an effective method for generating meaningful labels for the discovered topics.
Recent Approaches for Solid Dose Vaccine Delivery

Recent studies on vaccine delivery systems are exploring the possibility of replacing liquid vaccines with solid dose vaccines due to the many advantages that solid dose vaccines can offer. These include the prospect of a needle-free vaccine delivery system leading to better patient compliance, cold chain storage, less-trained vaccinators and fewer chances for needle stick injury hazards. Some studies also indicate that vaccines in a solid dosage form can result in a higher level of immunogenicity compared to the liquid form, thus providing a dose-sparing effect. This review outlines the different approaches in solid vaccine delivery using various routes of administration including, oral, pulmonary, intranasal, buccal, sublingual, and transdermal routes. The various techniques and their current advancements will provide a knowledge base for future work to be carried out in this arena.