Miracle-dz/UniFAR-FTUs huggingface dataset:
in Computer

— Co-authorship is of the most pervasive forms of research collaboration and the co-authorship data can be obtained with some amount of efforts as there are a number of online resources which store publications data in an organized manner. These resources include digital libraries like DBLP, Microsoft Academic Search, etc. In addition to these resources some institutional website also provide publications data of people working with them. One can use any of these resources to obtain this co-authorship information from joint publications. These co-authorship relationships form the basis of co-authorship based academic social networks. In this paper we obtained publications data of Computer Science Engineering Departments of four top ranked Indian Institutes of Technology for a ten year period 2005-2014 in order to understand various micro (individual) and meso (departmental) level research indicators using social network analysis metrics. The results that we obtained were promising and provided interesting findings about the research credentials of these institutes.
Secure Data Forwarding and Dependable Storage Services in Hybrid Cloud Computing

— For an increased level of scalability, availability and durability, some customers may want their data to be replicated on multiple cloud servers. The more copies the cloud service provider (CSP) is asked to store, the more fees the customers are charged. Moreover, it allows authorized users (i.e., those who have the right to access the owner’s file) to seamlessly access the file copies stored by the CSP, and supports public verifiability. The proposed scheme is proved to be secure against colluding servers. However, the importance of cloud server also makes them attractive to attackers. In this paper, to provide confidential and reliable data transfer from the data owner to the remote user through the cloud server, we construct an efficient provable data possession scheme for distributed cloud storage. Here confidentiality or privacy is protected by, making the request to the data owner. If the requested user is registered in the data owner then the data owner will be providing the secret key to the requested user. Using that secret key the user will request the cloud server for a particular file. If the secret key matches in the cloud server, then the user will receive the file. Else the user will not receive the file and he will be detected as an attacker. Integrity is provided by, giving the data owner the capability to update any modification done to the data stored in the cloud server.
Markl, Daniel and Yassin, Samy and Wilson, D. Ian and Goodwin, Daniel J. and Anderson, Andrew and Zeitler, J. Axel (2017) Mathematical modelling of liquid transport in swelling pharmaceutical immediate release

Oral dosage forms are an integral part of modern health care and account for the majority of drug delivery systems. Traditionally the analysis of the dissolution behaviour of a dosage form is used as the key parameter to assess the performance of a drug product. However, understanding the mechanisms of disintegration is of critical importance to improve the quality of drug delivery systems. The disintegration performance is primarily impacted by the hydration and subsequent swelling of the powder compact. Here we compare liquid ingress and swelling data obtained using terahertz pulsed imaging (TPI) to a set of mathematical models. The interlink between hydration kinetics and swelling is described by a model based on Darcy’s law and a modified swelling model based on that of Schott. Our new model includes the evolution of porosity, pore size and permeability as a function of hydration time. Results obtained from two sets of samples prepared from pure micro-crystalline cellulose (MCC) indicate a clear difference in hydration and swelling for samples of different porosities and particle sizes, which are captured by the model. Coupling a novel imaging technique, such as TPI, and mathematical models allows better understanding of hydration and swelling and eventually tablet disintegration. © 2017 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
IJPSM-02-2020-0061_proof 312..335

Purpose – Fragmentation can inhibit joint goals and performance measures. Therefore, the purpose of this study is to investigate the level of fragmentation between public, private and third sectors in a hybrid organization’s performance management systems and the effects of this fragmentation to propose hypotheses and new research methods for future studies. Design/methodology/approach – The inductive research design was based on a mixed method approach. As empirical data, a survey, interviews and documents were used in this case study examining a hybrid organization called Welfare Alliance. Findings –The results showed low-level fragmentation in the performancemanagement system of the hybrid. Although the level of fragmentation was low-level, it affected the hybrid’s ability to implement joint performance goals and measures. Performance management practices suffered as a consequence. Originality/value – As a theoretical contribution to research addressing performance management in hybrids, the study proposes new concepts and theoretical hypotheses concerning fragmented performance management systems in hybrids. These theoretical hypotheses propose how performance goals and measures can become fragmented because they isolate service production units and activities from each other. The proposed hypotheses for future studies also attempt to provide explanations for how fragmentation can spread from one management function to another (i.e. from goal setting to performance measurement).
Improving image retrieval by fuzzy C-means initialized by fixed threshold clusterin: case studies relating to a color temperature histogram and a color histogram

Fuzzy C-Means (FCM) algorithm is one of the well-known unsupervised clustering techniques. Such an algorithm can be used for unsupervised image clustering. The different initializations cause different evolutions of the algorithm. Random initializations may lead to improper convergence. This paper proposes FCM algorithm initialized by fixed threshold clustering. The purpose of the algorithm is to retrieve from the database the color JPEG images. Two case studies regard to index or represent the color images by either using color temperature histogram or color histogram vectors. The clustering process produces from such an image index the information, which is a degree of membership for each image. This information would be stored in a database. This paper shows that for both two cases, FCM algorithm initialized by fixed threshold clustering gives more accurate results than FCM with random initialization does.
Modular termination for general C Programs

: In this paper we describe a general method to prove termination of C programs in a scalable and modular way. The program to analyse is reduced to the smallest relevant subset through a termination-speci(cid:28)c slicing technique. Then, the program is divided into pieces of code that are analysed separately, thanks to an external engine for termination. The result is implemented in the prototype SToP over our previous toolsuite WTC ([2]) and preliminary results shows the feasibility of the method.
(2017) Deep learning for multi-task plant phenotyping. In: ICCV 2017 International Conference on Computer Vision, 22-29 October, 2017, Venice, Italy

Plant phenotyping has continued to pose a challenge to computer vision for many years. There is a particular demand to accurately quantify images of crops, and the natu-ral variability and structure of these plants presents unique difﬁculties. Recently, machine learning approaches have shown impressive results in many areas of computer vision, but these rely on large datasets that are at present not available for crops. We present a new dataset, called ACID, that provides hundreds of accurately annotated images of wheat spikes and spikelets, along with image level class annotation. We then present a deep learning approach capable of accurately localising wheat spikes and spikelets, despite the varied nature of this dataset. As well as locating features, our network offers near perfect counting accuracy for spikes (95.91%) and spikelets (99.66%). We also extend the network to perform simultaneous classiﬁcation of images, demonstrating the power of multi-task deep architectures for plant phenotyping. We hope that our dataset will be useful to researchers in continued improvement of plant and crop phenotyping. With this in mind, alongside the dataset we will make all code and trained models available online.
Software Testing in Critical Embedded Systems: a Systematic Review of Adherence to the DO-178B Standard

—Computing is becoming increasingly critical as far as embedded applications are concerned. Depending on the software, its malfunction may have consequences varying from serious ﬁnancial problems to the loss of human lives. In view of this, this paper presents a systematic review that investigates the evolution of the work-related activity of embedded software critical tests in order to assess the level of compliance of the works found in relation to the DO-178B standard ( Software Considerations in Airborne Systems and Equipment Certiﬁcation ). The ultimate goal of this research is the composition of existing works to deﬁne a test process that incorporates the quality and DO-178B requirements considering the diﬀerent levels of criticality.
COMPARATIVE ACCURACY OF MRCP AND ULTRASOUND IN EVALUATION OF OBSTRUCTIVE JAUNDICE

Objective: To evaluate the diagnostic accuracy of ultrasound in obstructive jaundice taking MRCP as gold standard. Methods: This cross-sectional study was conducted at Services Hospital, Lahore from 2 May 2018 till 2 November 2018. Both male and female patients aged 30 to 80 years with suspected obstructive jaundice were included. Patients already diagnosed with obstructive jaundice were excluded. MRCP and ultrasound were performed in suspected patients. Diagnostic accuracy including sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of obstructive jaundice were calculated using contingency tables using MRCP findings as gold standard. Results: Mean age of the patients was 54.73 ± 12.65 years. In causes of obstruction, choledocholothiasis was responsible for 85 (35.1%), stricture 61 (25.2%), carcinoma of head of pancreas 39 (16.1%), periampullary carcinoma 21 (8.7%), cholangiocarcinoma 10 (4.1%) and gallbladder carcinoma 26 (10.7%) of the cases. Diagnostic accuracy of ultrasound in obstructive jaundice taking MRCP findings as gold standard showed sensitivity, specificity, positive predicted value (PPV), negative predicted value (NPV) and overall diagnostic accuracy as 84.57%, 79.10%, 91.36%, 66.25% and 83.06%. Conclusion: Ultrasound has a high sensitivity, moderate specificity, and high diagnostic accuracy in diagnosis of obstructive jaundice. Corresponding author: Dr. Hafiza Wajeeha Waheed, PMDC # 89088-P. Email : star920@yahoo.com Please cite this article in press Hafiza Wajeeha Waheed et al., Comparative Accuracy Of MRCP And Ultrasound In Evaluation Of Obstructive Jaundice. , Indo Am. J. P. Sci, 2020; 07(06). QR code IAJPS 2020, 07 (06), 1480-1485 Hafiza Wajeeha Waheed et al ISSN 2349-7750 w w w . i a j p s . c o m Page 148
RMHP_A_298381 1689..1701

1School of Mathematics and Statistics, Wuhan University, Wuhan, People’s Republic of China; 2Reading Academy, Nanjing University of Information Science and Technology, Nanjing, People’s Republic of China; 3Faculty of Management Sciences, National University of Modern Languages Islamabad, Islamabad, Pakistan; 4College of Business Administration, Liaoning Technical University, XingCheng, Liaoning Province, 125105, People’s Republic of China; 5Islamia College Peshawar, Peshawar, Pakistan Objective: This study investigates life expectancy and trade openness in China for the period 1960–2018. Methods: We purposed a theoretical model that is tested for China by applying regimeswitching regression. Results: Our findings suggest that trade openness increases life expectancy in China; trade affects life expectancy from two aspects; firstly, trade expansion and industrialization lead to high economic activities and resulted in raise the income of the people in society leading to improve life expectancy. Secondly, industrial expansion increases the CO2 emissions which leads to imposes a negative implication on human health and thus reduces life expectancy. Conclusion: Thus, the net effect of trade liberalization depends on the value of income effect and volume of CO2 emissions. Therefore, the government needs to support the trade policies which causes a low level of CO2 emissions, the government may provide incentives to exports and industrialists to adopted green energy in the production process. Besides, the government may impose some regulations such as carbon tax to mitigate the CO2 emissions in society.
A REGIONAL SURVEY ON THE BENEFITS OF OXIDATIVE STRESS MANAGEMENT AS CANCER THERAPY IN KERALA

Socio-economic status of Kerala boost the practice of fast food culture in life. Importing of food items from other states leads to adulteration of food item and this intensified uses of pesticides. Research has revealed that the continued oxidative stress can lead to chronic inflammation, which in turn could mediate most chronic diseases including cancer, diabetes, cardiovascular, neurological and pulmonary diseases. Chemotherapy including immunotherapy, radiation are still prominent as the ways of treatment for cancer. In the survey we had analyzed, the benefits of a practicing method as cancer therapy in Kerala by using plant extracts of Simarouba glauca and Annona muricata to reduce the oxidative stress. The survey results found that it was effective against various type of diseases especially different types of Cancers to prevent it's progression. We have seen that the decoction taken as per guidelines given by 'Swanthana sparsam' organization, Trichur was highly effective and is able to manage cancer to a wide extend. Along with this, the comparison study of the cost effectiveness of the treatment has seen that the oxidative stress management is highly cost effective and showed better results and many of the people surveyed are leading normal life in comparison to the modern medicine.
RESEARCHES REGARDING THE INFLUENCE OF THE POSITION ON THE HILL UNDER MAIN PHYSICAL PROPERTIES OF THE SOIL IN DIFFERENT CROP SYSTEM

The paper based on the researches carried out during 2008-2011 in Oradea in the plots for flow check placed on the hill with 10% slope. The area is characterized by average of the multianual rainfall of 620 mm. [1,2,3] The following variant were studied: clean fallow, pasture, maize seeded from hill to valley, maize seeded on the level curves direction, wheat. The physical analysis were made in the profiles situated in the top and at the base of the hill. The biggest difference between structure degree determined at the base of the hill and top of the hill was registered in the variant with clean fallow (40,2%); in the other variants the differences were of 33,3% in the variant with maize seeded from hill to valey, of 12% in the variant with maize seeded on the level curves, of 8,2% in the wheat and of 7,6% in the pasture. In the horizons of the profile from the base of the hill the values of the bulk density were smaller than the values registered in the top of the hill, the total porosity values were bigger, the hydraulic conductivity values were bigger too and the penetration rezistance values were smaller. As consequence, the yields determined at the base of the hill were bigger than the yields determined in the top of the hill; in the maize seeded from hill to valley the differenes were bigger than the differenes registered in the variant with the maize seeded on the level curves. The results researches sustain the need of the soil management against erosion based on the protective plants and the crop on the level curves direction.
Assessing Decision-Making Capacity in a Patient with Cancer and Untreated Psychiatric Illness

Decision-making capacity at the end-of-life is an extremely challenging process complicated by heightened emotions and complex needs to respect patient autonomy. The process is often convoluted by heavy symptom burden, complex psychosocial backgrounds and concurrent undiagnosed psychiatric illnesses. The palliative care team used the Confusion Assessment Method (CAM) to screen for delirium [1]. The patient was noted to have delirium at multiple encounters. The palliative care team used various approaches suggested by Tunzi to assess for decision-making capacity [2]. The heavy symptom burden, untreated psychiatric illness, persistent refusal to various treatment options, continued inappropriate behavioral explosions with lack of rationality in patient responses categorized the patient to lack decision-making capacity.
Recognizing the Tradeoffs We Make

David Laitin defies a famous binary classification of scholars between hedgehogs and foxes. The late Isaiah Berlin’s work, following Tolstoy’s, gave this distinction considerable currency in the social sciences. The hedgehog knows one thing very well; and the fox knows quite a few things, if not each in great detail. Hedgehogs work on one given topic/ theme/theory for an entire lifetime, adopting a cumulative research program, attempting to resolve one puzzle at a time, as they advance. Think of Arend Lijphart’s lifelong pursuit of the idea of consociational democracy. Foxes move from one big topic/theme/theory to another, each topic keeping them engaged for a few years but not more, showing enormous intellectual breadth in the process. Consider Samuel Huntington in political science, and Amartya Sen in political economy. Huntington has provoked new debates in three fields of our profession: comparative politics, American politics, and international politics. Sen ranges from rationality on one hand to famines and poverty, inequality, choice of techniques in planning, and, increasingly, identity on the other. Laitin has worked almost entirely on ethnic politics, rarely if ever on development, economic reforms, democracy and authoritarianism, party politics, etc., let alone in other subfields of the political science discipline. Yet three things separate his work from a classic hedgehog strategy. His substantive questions have varied, even if the subfield has not; he has moved from country to country in search of answers; and what is most pertinent to this symposium, his methodological commitments have radically changed over time. Three of Laitin’s books deal with language politics. In Politics, Language and Thought: The Somali Experience (1977), Laitin probed the political and social consequences of maintaining a neocolonial language like English, as opposed to using a vernacular like Somali, as an official language. In Language Repertoire and State Construction in Africa (1992), he explained how very few African states went for linguistic rationalization in the classical European sense of having only one language, but many others went for two other linguistic strategies: a 2-language outcome, and what he came to call a 3+1 solution, a formula he found in India and has applied to other countries as well. In Identity in Formation: The Russian-Speaking Populations in the Near Abroad (1998)–IF hereafter—the central issue is how to explain the emergence of a “conglomerate identity,” based primarily on linguistic adaptation, among the Russian-speaking populations of Estonia, Latvia, Ukraine, and Kazakhstan after the breakup of the Soviet Union. His work on identity politics is, of course, not entirely driven by language issues. In his second book, Hegemony and Culture: Politics and Religious Change among the Concluding Remarks
Aujeszky's Disease in Brazil: Eradication and Control Measures

Aujeszky's disease is a viral infectious disease that affects mainly pigs. Other species infection can occur through direct contact with infected pigs. Also known as: pseudorabies, suidherpesvirus disease, bulbar palsy and scratching plague, the virus has a remarkable characteristic of developing latent infections in the host. The main clinical manifestations of Aujeszky's disease are nervous and respiratory disorders, high mortality in piglets and serious reproductive disorders in pregnant sows, reduced productivity of the matrices in development and decline of animal growth and feed intake rates. The epidemiological situation of the disease is different in each region, what makes necessary different strategies to combat the disease. Some methods such as vaccination with antigenic markers, testing of animals and removal of positives are common in eradication and control programs. Cullin of all animals on the farm, strict desinfection, establishment of sanitary good practices and restocking the herd with healthy animals are the most efficient techniques, despite the costs. The focus of this review is to gather information disposable in the scientific literature about the existent measures for control and elimination of Aujeszky's disease and compare different strategies used worldwide.
Numerical methods for kinetic equations

Kinetic equations play an important role in many physical applications. Prominent examples are the Boltzmann equation of gas dynamics and the radiative transfer equation. In general, analytic solutions are not available and thus numerical solutions have to be found. However, due to their high dimensionality, kinetic equations cause a great amount of computational cost which may effectively make it impossible to get a sufficiently accurate solution using standard numerical solvers. Thus, methods that can find approximate solutions with less effort have to be used. A popular approach is to express the solution in terms of the first moments of the kinetic equation. This eliminates the dependency on the velocity variable and reduces the computational cost significantly. However, the resulting hyperbolic system of equations still has to be solved in several dimensions. Furthermore, many moments and thus a large system of equations may be necessary to get a reasonable approximation to the true solution. Hence, efficient solvers are still required to solve the problem in reasonable time. The goal of this thesis was the implementation of an efficient and generic solver for hyperbolic systems of equations in the C++ software framework DUNE. The implementation was tested against problems with known solution and existing solvers for the moment models.
3C 273: The Hazards of Publication

Abstract In March 1963 a paper by Hazard, Mackey and Shimmins in Nature, announced an accurate position for the radio source 3C 273. This was subsequently identified as the first known quasar. Through an innocent editorial mistake, the affiliation of the first author was wrongly attributed. This caused long-term animosity between the Physics Department of the University of Sydney and the CSIRO Division of Radiophysics.