Miracle-dz/UniFAR-FTUs huggingface dataset:
SSTMProt, a point mutation sensitive tool to combine results and to predict the consensus sequence, and secondary structure of transmembrane proteins

The efficiency of predictions of protein secondary structures can be increased by treating this process as a cycle of steps, where each step is an approach to the single natural event in folding process (model and simulation of successive events). The set of simulation steps qualifies reliability of in silico simulation of single steps, allowing to verify the correctness of each step as well as to retain sensitivity in case of a single amino acidic substitution. For this purpose the three-part algorithm (SSTMProt) has been designed. This algorithm combines the results of known methods of prediction of proteins secondary structure. Furthermore, the efficiency of this algorithm has been verified using the models received from the RCSB PDB (the Research Collaboratory for Structural Bioinformatics – Protein Data Base; http://www.rcsb.org). The accuracy of known methods has been compared with the accuracy of designed algorithms. The accuracy has been tested by the comparison of true secondary structure with predicted secondary structure of a given protein. The results of accuracy test has been presented as percentage values of similarity between both secondary structures: predicted structure using known method vs. true structure and predicted structure using designed method vs. true structure. The results demonstrate 20-30% higher accuracy of prediction for designed algorithms then for adequate known methods. The test of sensitivity has been done for proteins of a very conservative and stable structure (subunits of bovine cytochrome c oxidase and bacterial ATP-ase, bovine rhodopsin and human hemoblobin as a globular but alpha-helical protein). The influence of a single amino acid substitution on a resulted secondary structure predicted by SSTMProt algorithms has been examined. The repeatability of elaborated algorithms is 100% and each of all 12 tested combinations of methods were sensitive on a single amino acid substitution. All tests have been done for 10 models of native forms of proteins of known structure (models downloaded from the RCSB PDB 1HBB, 1HBS, 1OCC, 1U17, 1C17) and over 500 modified models; 30 known methods of prediction of secondary structure of proteins and 40 combinations of these methods included in three versions of elaborated algorithms have been examined for each protein model.
The Design of ViVA : a MixedInitiative MixedInitiative MixedInitiative Visual Vocabulary for Aphasia

In this paper, we present the design of ViVA, a visual vocabulary for aphasia. Aphasia is an acquired language disorder that causes variability of impairments affecting individual’s ability to speak, comprehend, read and write. Existing communication aids lack flexibility and adequate customization functionality failing to address this variability and to satisfy individual user needs. We tackle these shortcomings by incorporating adaptive and adaptable capabilities in ViVA which is designed to assist communication for users suffering from aphasia. The visual vocabulary for aphasia implements a novel approach that organizes the words in the vocabulary according to user preferences, word usage and certain semantic measures, thus continuously tailoring the tool to the user’s profile.
Typing on a Smartwatch for Smart Glasses

While smart glasses make information more accessible in mobile scenarios, entering text on these devices is still difficult. In this paper, we suggest using a smartwatch as an indirect input device for smart glasses text entry. With the watch-glasses combination, users do not need to lift the arm to touch the glasses nor need to carry a special external input device. To prove the feasibility of the suggested combination, we implemented two text entry methods: a modified version of SwipeBoard, which we adapted for the suggested combination, and HoldBoard, which we newly designed and implemented specifically for the suggested combination. We evaluated the performances of the two text entry methods through two user studies, and could show that they are faster than prior art for smart glasses text entry in a seated condition. A further study showed that they are competitive with the prior art also in a walking condition.
Graph Minors and Reliable Single Message Transmission

End-to-end communication considers the problem of sending messages from a sender $s$ to a receiver $r$ through an asynchronous, unreliable network, such as the Internet. We consider the problem of transmitting a single message from $s$ to $r$ through a network in which edges may fail and cannot recover. We assume that some $sr$-path survives, but we do not know which path it is. We are concerned with protocols that do not store information at intermediate nodes and that ensure that a message sent by $s$ will be recieved by $r$ (no matter which edges fail) without generating an infinite number of messages. We explicitly characterize the family of networks for which there is such a protocol using headerless packets. This characterization is given in terms of forbidden rooted minors, which leads to a linear time recognition algorithm for this family of networks. We obtain a similar characterization for the family of networks in which a message can be broadcast from a single vertex $s$ to all other vertices. Finally, we show that there is a forbidden rooted minor characterization for the more general case when a header (containing routing information) of constant length is attached to the message, and we discuss the algorithmic consequences of this characterization.
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts

Little is known about the biological functions which are exerted by hormone receptors in physiological conditions. Here, we made use of the Mouse INtraDuctal (MIND) model, an innovative patient-derived xenograft (PDX) model, to characterize global gene expression changes, which are triggered by stimulation of dihydrotestosterone (DHT) and progesterone (P4) in vivo. Fast and clever mathematical tools are needed to analyze increasing numbers of complex datasets. We generated hormone receptor-specific list of genes which were then used to test the classification performance obtained by different machinelearning algorithms in the frame of our labelled PDXs RNAseq dataset. Next to other standard techniques, we consider the variably scaled kernel (VSK) setting in the framework of support vector machines. Our results show that mixed schemes obtained via VSKs can outperform standard classification methods in the considered task.
Local Government Financial Reporting in the USA and Spain. A Comparative Study

ABSTRACT The aims of this paper are to carry out a comparison of the degree of coincidence between the governmental accounting practices in accrual accounting recommended by the IPSAS of IFAC and the information required by the GASB Statement 34 and Spanish local government accounting, and to study the relationship between the general objectives of governmental accounting and the disclosure of information in the financial report of the local governments of the USA, Spain and the IPSAS of the IFAC. The IFAC proposal represents the clearest international bet on the implementation of GAAP in the public sector as a way of improving the quality of governmental financial reports. The USA and Spain represent two different accounting contexts, the Anglo-American and the European Continental. The similarities between the three systems show that the IFAC proposal could be assumed both by professional bodies such as the GASB and by governmental bodies such as the Spanish government.
Integration of CEEC-3's financial markets: Evidence from both regional and international perspective

Financial market integration in Europe has evolved dramatically with the political, economic, and monetary developments in the European Union (EU). In 2004, 10 countries from Central and Eastern Europe and the Mediterranean region joined the EU, which was the largest ever enlargement of the EU and a historic step towards unifying the whole of Europe after several decades of division that resulted from the Cold War. In this paper, I want to focus on the financial integration, contagion effect and cause-effect relationship in the Eastern European. To do so, I choose Germany to represent the EU, since it is the largest economy in the eurozone and has the most liquid government securities market. Considering data availability, CEEC-3 countries (i.e., Poland, Czech Republic, and Hungary) are suitable representatives of new accession members because they have the longest available time series data that can match those of Germany. Following the chapter 1, this paper is consistent of six chapters. In the second chapter, I try to investigate whether asymmetry is exist between the bond markets in CEEC-3 and Germany from 2000 to 2012. To do so, I employ the asymmetric dynamic conditional cOlTelation model developed by Cappiello et al. (2006). Specifically, CEEC-3 comprise emerging transition economies that became European Union members in 2004, while Germany serves as a representative of the EU because it is the largest economy in the eurozone. Based on the presented analytical models, I make four impOliant findings. First, I show that financial integration had already evolved before the EU accession in 2004 in Czech Republic, while the financial integration process continues in Poland but not in Hungary. Second, the bond markets in both Poland and Hungary decreased their dependence on that in Germany during the global financial crisis period. Third, financial contagion did not occur in the bond markets in CEEC-3 and Germany during the European sovereign debt crisis period. Finally, I can observe asymmetric effects on returns over time when markets fluctuate sharply. Following the results in the second chapter, in the second chapter, I try to analyze the direction and the degree of this asymmetry. Therefore, I use copula models to investigate the structural dependence between CEEC-3 and German bond markets from 2000 to 2012. I evaluate the degree of financial integration and dependence structure changes in government securities markets following European monetary integration and, first, find that integration between CEEC-3 and Germany is greater for the long-term interest rate but decreased during the crisis period. Second, the dependence between the Czech Republic and Poland increased significantly since EU accession before the recent financial crises occurred. Finally, the structural dependence between CEEC-3 and German government securities markets is generally symmetric. Since the above chapters only discussed the one-day dependence between the bond markets in CEEC-3 and Germany, I still do not know this kind of dependence at the different time
Age Bias in the Workplace

Two key theoretical frameworks that explain why people might hold biases for or against a specific age group—cultural stereotypes and in-group favoritism—yield distinct and sometimes contradictory predictions. This study proposes a combined framework drawing on these two theories and then tests hypotheses based on this framework in the workplace context. Using survey data from U.S. employees of two pharmaceutical companies, we evaluated the extent to which respondents attributed characteristics related to innovation or change and reliable performance to other workers based on perceived relative age (the age of the target relative to the age of the respondent). The hypotheses that our combined framework generated were supported, but the results varied by type of characteristic as well as by age of the respondent. We conclude that the combined framework is more predictive of age bias in the workplace than either individual framework alone.
A neural network-based fault detection scheme for satellite attitude control systems

This paper presents an actuator fault detection and identification (FDI) scheme for satellite attitude control systems. A state-space approach is used and a nonlinear-in-parameters neural network (NLPNN) is employed to identify the general unknown fault. The recurrent network configuration is obtained by a combination of feedforward network architectures and dynamical elements in the form of stable filters. The neural network weights are updated based on a modified backpropagation scheme. The stability of the overall fault detection scheme is shown using Lyapunov's direct method. Simulation results are presented to show the performance of the proposed fault detection scheme
Airwave Sounds Plc

The Case Study section of the International Journal of Entrepreneurship and Innovation serves two purposes. First, the case studies presented are concerned with problematical issues that are pertinent to students of entrepreneurship. Thus they constitute appropriate teaching and learning vehicles on a variety of postgraduate and undergraduate programmes. Each case study is accompanied by a set of guidelines for the use of tutors. Second, it is envisaged that those engaged in entrepreneurial activities will find the cases both interesting and useful. This issue's Case Study concerns the formation of a university spin-out venture and invites exploration of business planning, growth strategies and entrepreneurial development in such companies.
INSTRUCTIONAL MEDIA IN TEACHING AND LEARNING: A NIGERIAN PERSPECTIVE

The focus of this paper is to discuss the use of instructional media in teaching and learning from a Nigerian perspective. The problem with the use of instructional media has existed since the 1970s after the oil boom era. As soon as corruption and mismanagement of the oil resources became more serious, all other sectors including education were no longer properly funded or given the needed attention for national development. As a result, most lecturers and teachers in many Nigerian tertiary institutions now use the lecture method only in teaching their various courses. The use of this type of method as the sole teaching technique can lead to boredom in learners, lack of learner participation, noise factors that can cause communication breakdown during teaching, learners’ mixing up of information, and lack of interest in or attention to the subject matter being taught. Some sources where lecturers can select instructional media for teaching their courses are identified and discussed. It is recommended that the Nigerian government should urgently assist teachers, especially at the tertiary level, in the procurement and use of instructional media through training and retraining, workshops, conferences, etc. in order to fit into the new scientific order of addressing the nation’s educational problems.
Near-Field Coupling Characteristics Analysis of Radome Over Half-Space Under HPEM

Analysis of the interaction between high-power electromagnetic (HPEM) pulse and targets is often carried out in free space. However, the half-space effect cannot be ignored when targets are located near the ground. Electromagnetic field and energy-flux density coupling into a radome over lossy half-space are investigated based on a semianalytic method. In this paper, the interaction of the EM wave and the radome is computed by finite-difference time-domain (FDTD) method. The bidirectional incident wave of the FDTD region is introduced by the Fresnel formula, Fourier transform, and the equivalence principle. Finally, different incident conditions such as incident planes and polarization modes are discussed. The numerical results show that this method can provide a reliable technique for estimating the electromagnetic coupling effects on targets over half-space under HPEM pulses.
Corporate Disclosure Quality in Malaysia

The objective of this study is to examine the quality of corporate disclosure in the annual reports of Malaysian public listed companies. It reviewed the reports published by the Malaysian Institute of Accountants from 2006-2012 on the common findings documented by the Financial Statements Review Committee (FSRC). It is found that there are common deficiencies in firms’ annual reports or non-compliance with accounting standards among firms as reported by the FSRC. This finding indicates that although compliance with accounting standards is mandated by law, it does not necessarily mean that preparers will fully comply with such requirement. Similarly, the adoption of high quality accounting standards such as the International Financial Reporting Standards will not automatically lead to high quality financial reporting or increased transparency.
Measurements and post-processing for achievement of electromagnetic transient interference models: Application to the signals provided by railway substations

This paper is focused on post-processing developments to automatically analyze measurement results and extract models of transient electromagnetic noises. The study presented in this paper is applied on the electromagnetic disturbances which are produced by the railway substations which supply the railway electrical infrastructure. Currents measurements were performed inside a substation in order to identify the harmonics and the transient signals which are created by the power devices of the substation. Finally, this paper suggests exploiting a time-frequency analysis and an adequate post processing to automatically detect transient signals. Results and concrete applications of these representations will be presented to automatically extract model of the transient noises present in the railway domain.
Gastrointestinal hormone secretion in women with polycystic ovary syndrome: an observational study.

STUDY QUESTION Is the secretion of gastrointestinal hormones impaired in patients with polycystic ovary syndrome (PCOS)? SUMMARY ANSWER Gastrointestinal hormone levels were abnormal in patients with PCOS. WHAT IS KNOWN ALREADY The hormones glucagon-like peptide-1 (GLP-1) and peptide tyrosine-tyrosine (PYY) are both involved in signaling satiety. Secretion of GLP-1 and PYY in response to nutrients in the small intestine plays an important role in energy metabolism. Most PCOS patients are overweight or obese, which suggests dysregulation of appetite. STUDY DESIGN, SIZE, DURATION In order to evaluate levels of gastrointestinal hormones in PCOS, a cohort study was undertaken, involving 30 PCOS patients and 29 BMI-matched healthy women recruited from Shanghai Renji Hospital between 1 March 2013 and 30 May 2014. PARTICIPANTS/MATERIALS, SETTING, METHODS After an overnight fast, all participants underwent an oral glucose tolerance test. Blood was sampled frequently for measurement of blood glucose and plasma insulin, total GLP-1 and PYY concentrations. MAIN RESULTS AND THE ROLE OF CHANCE Fasting and postprandial insulin levels were significantly higher in patients with PCOS compared with the healthy controls (P < 0.05). Fasting and postprandial GLP-1 (t = 0 and 30 min; mean ± SEM) were also higher in PCOS group (17.5 ± 1.07 pM versus 14.1 ± 1.16 pM, P < 0.05; 29.7 ± 2.39 pM versus 22.8 ± 2.09 pM, P < 0.05). However, there were no differences in plasma PYY between patients with PCOS and healthy controls either fasting or postprandially. PYY levels were lower in obese PCOS patients than in lean PCOS patients (P < 0.05). LIMITATIONS, REASONS FOR CAUTION The study involved a small number of subjects with PCOS, and examined hormone responses to oral glucose rather than a physiological meal. WIDER IMPLICATIONS OF THE FINDINGS Deficient secretion of GLP-1 and PYY does not contribute to excessive food intake in the pathophysiology of PCOS.
Selective regulation of clathrin-mediated epidermal growth factor receptor signaling and endocytosis by phospholipase C and calcium

Clathrin-mediated endocytosis controls internalization of many receptors from the cell surface. It was found that clathrin-mediated endocytosis of epidermal growth factor receptor (EGFR) but not that of transferrin receptor requires EGFR-activated phospholipase Cγ1, Ca2+ signals, and protein kinase C. Thus EGFR elicits Ca2+ signals to distinctly regulate its own clathrin-mediated endocytosis.
An Antitrust Analysis of Google's Proposed Acquisition of DoubleClick

By serving as a key revenue source for online content providers, online advertising has been instrumental in the development of innovative websites. Continued innovation among content providers, however, depends critically on the competitive provision of online advertising. Suppliers of online advertising provide three primary inputs - (1) advertiser tools, (2) intermediation services, and (3) publisher tools. Certain suppliers such as Google provide a platform that combines the inputs into one integrated service. In this paper, we focus on the overlapping products sold to advertisers by Google and DoubleClick - namely, the supply of advertiser tools. Because the supply of advertiser tools is highly concentrated, Google's proposed acquisition of DoubleClick raises important questions for antitrust authorities. Proponents of this acquisition argue that Google and DoubleClick do not compete - that is, buyers of search-based or contextual-based advertising (the two advertising channels in which Google participates) do not perceive graphic-based advertising (the advertising channel in which DoubleClick participates) to be substitutes. Thus, they conclude that the proposed acquisition would not lead to higher prices.In this paper, we examine economic evidence and legal precedent to help identify the relevant antitrust product market for Google's proposed acquisition of DoubleClick. According to the Federal Trade Commission and Department of Justice Horizontal Merger Guidelines, product markets are defined by the response of buyers to relative changes in prices. To inform how buyers - in this case, online advertisers - would respond to relative changes in price across the three online advertising channels (search, contextual, and display), we analyze the results of a survey of online retailers. The survey suggests that (1) a significant share of online advertisers would substitute among the three channels in response to relative changes in prices, and (2) a significant share of DoubleClick customers would turn to Google before any other supplier in response to an increase in the price of DoubleClick's advertiser tools. In particular, the survey indicates that a combined Google-DoubleClick would likely have a greater incentive to increase the price of DoubleClick's advertiser tools relative to a stand-alone DoubleClick offering.
A Prospective Survey of Anaesthetic Critical Events a Report on a Pilot Study of 88 Cases

REFERENCES I. Flanagan Je. The critical incident technique. Psychol Bull 1954; 51 :327-358. 2. Cooper JB. Newbower RS, Kitz RJ. An analysis of major errors and equipment failures in anesthesia management: considerations for prevention and detection. Anesthesiology 1984: 60:34-42. 3. Cooper JB. Newbower RS, Long CD, McPeek B. Preventable anesthesia mishaps: a study of human factors. Anesthesiology 1978; 49:399-406. 4. Williamson JA, Webb RK, Pryor GL. Anaesthesia safety and the 'critical incident' technique. Aust CIin Rev 1985; 5:57-61. 5. Knight J. Medical standards for sports divers. Sth PacifUnderw Med SocJ 1986: 16:22-27. 6. Tiret L, Desmonts JM, Hatton F, Vourc'h G. Complications associated with anaesthesia a prospective study in France. Can Anaesth Soc J 1986; 33:336-344. MONITORING AND PATIENT SAFETY