Miracle-dz/UniFAR-FTUs huggingface dataset:
Detecting Short Passages of Similar Text in Large Document Collections

This paper presents a statistical method for fingerprinting text. In a large collection of independently written documents each text is associated with a fingerprint which should be different from all the others. If fingerprints are too close then it is suspected that passages of copied or similar text occur in two documents. Our method exploits the characteristic distribution of word trigrams, and measures to determine similarity are based on set theoretic principles. The system was developed using a corpus of broadcast news reports and has been successfully used to detect plagiarism in students’ work. It can find small sections that are similar as well as those that are identical. The method is very simple and effective, but seems not to have been used before
Electron spin relaxation by nuclei in semiconductor quantum dots

We have studied theoretically electron spin relaxation in semiconductor quantum dots via interaction with nuclear spins. The relaxation is shown to be determined by three processes: (i) the precession of the electron spin in the hyperfine field of the frozen fluctuation of the nuclear spins; (ii) the precession of the nuclear spins in the hyperfine field of the electron; and (iii) the precession of the nuclear spin in the dipole field of its nuclear neighbors. In external magnetic fields the relaxation of electron spins directed along the magnetic field is suppressed. Electron spins directed transverse to the magnetic field relax completely in a time on the order of the precession period of its spin in the field of the frozen fluctuation of the nuclear spins. Comparison with experiment shows that the hyperfine interaction with nuclei may be the dominant mechanism of electron spin relaxation in quantum dots.
Integrating Theory and Practice in-Planning :

AI textbooks and papers often discuss the big questions, such as “how to reason with uncertainty”, “how to reason efficiently”, or “how to improve performance through learning . ” It is more difficult, however, to find descriptions of concrete problems or challenges that are still ambitious and interesting, yet not so open-ended. The goal of this panel is to formulate a set of such challenge problems for the field. Each panelist was asked to formulate one or more challenges. The emphasis is on problems for which there is a good chance that they will be resolved within the next five to ten years. A good example of the potential benefit of a concrete AI challenge problem is the recent success of Deep Blue. Deep Blue is the result of a research effort focused on a single problem: develop a program to defeat the world chess champion. Although Deep Blue has not yet quite achieved this goal, it played a remarkably strong game against Kasparov in the recent ACM Chess Challenge Match. A key lesson we learn from Deep Blue’s strength is that efficient brute-force search can be much more effective than sophisticated, heuristically guided search. In fact, brute-force was so successful that it led Kasparov to exclaim “I could feel I could smell a new kind of int.elligence across the table. ” (Kasparov 1996) The experience with Deep Blue shows that a good challenge problem can focus research, lead to concrete
Automated Configuration Bug Report Prediction Using Text Mining

Configuration bugs are one of the dominant causes of software failures. Previous studies show that a configuration bug could cause huge financial losses in a software system. The importance of configuration bugs has attracted various research studies, e.g., To detect, diagnose, and fix configuration bugs. Given a bug report, an approach that can identify whether the bug is a configuration bug could help developers reduce debugging effort. We refer to this problem as configuration bug reports prediction. To address this problem, we develop a new automated framework that applies text mining technologies on the natural-language description of bug reports to train a statistical model on historical bug reports with known labels (i.e., Configuration or non-configuration), and the statistical model is then used to predict a label for a new bug report. Developers could apply our model to automatically predict labels of bug reports to improve their productivity. Our tool first applies feature selection techniques (e.g., Information gain and Chi-square) to pre-process the textual information in bug reports, and then applies various text mining techniques (e.g., Naive Bayes, SVM, naive Bayes multinomial) to build statistical models. We evaluate our solution on 5 bug report datasets including accumulo, activemq, camel, flume, and wicket. We show that naive Bayes multinomial with information gain achieves the best performance. On average across the 5 projects, its accuracy, configuration F-measure and non-configuration F-measure are 0.811, 0.450, and 0.880, respectively. We also compare our solution with the method proposed by Arshad et al. The results show that our proposed approach that uses naive Bayes multinomial with information gain on average improves accuracy, configuration F-measure and non-configuration F-measure scores of Arshad et al.'s method by 8.34%, 103.7%, and 4.24%, respectively.
Interactive comment on “ Seasonal variation in ecosystem parameters derived from FLUXNET data

PFTs have characteristic parameter combinations. Little is known about what causes variation in these parameters between and within the PFTs, and this is precisely what we wish to investigate. It is thus not our intention to present a ready-to-use prognostic model, but to use a simple model in a diagnostic sense. Ultimately this may serve to improve prognostic models, but first we need to understand what drives the apparent variation in parameter values.
Actigraphy and parental ratings of sleep in children with attention-deficit/hyperactivity disorder (ADHD).

STUDY OBJECTIVES To assess various sleep parameters in latency-aged children with ADHD and their normally developing peers through the use of multiple sleep measures. DESIGN Six sleep parameters were evaluated for two groups of children, ADHD and normal comparison. Each group consisted of 25 children (20 males, 5 females) who ranged in age from 7 to 11 years. All children underwent rigorous diagnostic procedures and the ADHD subjects were selected only if they displayed pervasiveness in their symptomatology and were medication naive. Parents completed a retrospective questionnaire which evaluated sleep problems over the past six months. Additionally, each child wore an actigraph for seven consecutive nights, and the child's parents completed a sleep diary during this time period. SETTING N/A. PATIENTS OR PARTICIPANTS N/A. INTERVENTIONS N/A. RESULTS Based on the findings from the questionnaire, parents of children with ADHD reported significantly more sleep problems than parents of normally developing children. However, the majority of these sleep differences were not verified through actigraphy or sleep diary data, with the exception of longer sleep duration for children with ADHD and parent reports that describe increased bedtime resistence. It was also found that child-parent interactions during bedtime routines were more challenging in the ADHD group. CONCLUSIONS Despite the possibility of intrinsic sleep problems such as longer sleep duration, results indicate that many of the sleep problems of children with ADHD may be due to challenging behaviours during bedtime routines. The reason for discrepancies among sleep studies employing objective measures as well as between retrospective and prospective measures are discussed.
Analysis of output ripple in multi-phase clocked charge pumps

This paper presents a mathematical analysis of the ripple voltage caused by a mismatch in parasitic capacitances in multi-phase, clocked charge pumps. Through detailed circuit modeling, we show that a relatively large pedestal ripple is caused by a small mismatch in parasitic capacitance. We present a simple circuit solution and verify its performance with simulation and experimental results using a 0.35 /spl mu/m CMOS process.
Influence of immune status on the metastasis of three murine fibrosarcomas of different immunogenicities.

Three fibrosarcomas of different immunogenicities were tested for their ability to form spontaneous and experimentally induced metastases in normal, sham-suppressed, immunosuppressed, and immunologically restored syngeneic mice. Immunosuppression, achieved by adult thymectomy and sublethal X-irradiation (450 R), affected experimental metastasis of the three tumors in different ways. Upon i.v. injection, the highly immunogenic fibrosarcoma formed more pulmonary tumor colonies in immunosuppressed mice than in normal, sham-suppressed (sham thymectomy and 450 R), or immunologically reconstituted animals (thymectomy, X-irradiation, plus 10(7) normal syngeneic lymphocytes given i.v. ). A fibrosarcoma of intermediate immunogenicity also formed more pulmonary metastases in immunosuppressed recipients, but this increase could not be reversed by reconstitution with 10(7) lymphocytes. In contrast, the least immunogenic tumor formed fewer pulmonary tumor colonies in immunosuppressed mice than in normal, sham-suppressed, or immunologically reconstituted mice. We conclude that the role of the immune system in experimental cancer metastasis varies for different tumors and that tumor immunogenicity is an important factor in the relationship between host immunity and tumor dissemination.
Towards an Extensible Agent-based Middleware for Sensor Networks and RFID Systems

Sensor networks as well as RFID systems are among the hyped technologies nowadays. A lot of research efforts have been spent to develop standards, middlewares and applications. The industry already made large investments to foster the adoption of these technologies, consequently pushing the development, and already deployed the resulting technologies in different domains. However, the addressed technologies are still very young, best practices as well as standards are expected to frequently change, as new demands arise when using the technologies in our everyday life. Because of this, middleware systems are expected to undergo frequent redesigns as well, requiring well suited design paradigms to avoid a software engineering nightmare. We therefore propose an agent-based middleware for sensor networks and RFID systems. This middleware will meet the challenges for having a robust, adaptable and flexible middleware, which is moreover easily extensible to cope with expected re-engineerings and changes while maintaining a clear and elaborate design.
Schooling, Political Participation, and the Economy

Abstract We investigate how the link between individual schooling and political participation is affected by country characteristics. Using individual survey data, we find that political participation is more responsive to schooling in land-abundant countries and less responsive in human capital–abundant countries, even while controlling for country political institutions and cultural attitudes. We find related evidence that political participation is less responsive to schooling in countries with a higher skill premium, as well as within countries for individuals in skilled occupations. The evidence motivates a theoretical explanation in which patterns of political participation are influenced by the opportunity cost of engaging in political rather than production activities.
The pharmacologic treatment of problematic sexual interests, paraphilic disorders, and sexual preoccupation in adult men who have committed a sexual offence

Abstract This paper provides an international perspective on the use of medications to treat problematic sexual interests, paraphilic disorders, and sexual preoccupation in men who have committed a sexual offence. Experts from Canada, the Czech Republic (CR), Russia, the United Kingdom, and the United States met in Prague, CR in May 2017 to review and compare their treatment approaches. This report is a summary of their discussions, including empirical data from CR and Russia which have not previously been published in the English language. All participants agreed that continuing international collaboration would be very useful for the development of ethical international prescribing guidelines, as well as pooling data from studies on the efficacy and utility of pharmacological and other biological treatments for people who have committed sexual offences.
A comparison of the effects of ABVD and ChlVPP chemotherapeutic protocols for Hodgkin's disease on the spermatozoa fertility indices of male rats

Background: Fertility protection is important in young patients with Hodgkin's lymphoma. Objective: The goal of this study was to determine the effects of ABVD and ChlVPP chemotherapeutic protocols for Hodgkin's disease on the spermatozoa fertility indices of male rat. Materials and Methods: After determining tolerance dose of drugs in pilot study, 24 male rats were divided to four groups: ABVD (doxorubicin, bleomycine, vinblastin, dacarbazine) group, ChlVPP (chlorambucil, vinblastin, procarbazine, prednisolone) group and two control groups one for each treatment group. One half of the lethal dose for fifty percent of population was used for treatment of animals in each protocol. Spermatozoa were used for computer- assisted sperm analysis (CASA) and morphology analyses. Heads of spermatozoa were counted. Results: Body weight, testis and epididymis weights, spermatozoa number, and live ratio in treated rats were significantly less than their control groups (p<0.05) specifically these parameters in ABVD group was less than ChlVPP group (F= 19.6, p=0.000). Spermatozoa morphology in treated groups were more abnormal than control groups (p<0.05). Evaluation of reproductive system efficacy showed that there was no pregnancy in ABVD group and in ChlVPP group there was only one pregnant female (16.6%). Conclusion: According to this study results, the ChlVPP had fewer side effects than ABVD in tolerance doses on male rats' reproductive system. More clinical trial studies are suggested on Hodgkin's patients. With equal treatment effectiveness, it will be better to use the most reliable and safe treatment especially in young patients.
Combining Object-Based Classification and Data Mining Algorithm to Classify Urban Surface Materials from WorldView-2 Satellite Image

Although object-based image analysis (OBIA) has been used for detailed classification of urban areas, its attribute selection and knowledge discovery have been time consuming and subjective to analysts' performance. In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. This algorithm provides a decision tree output to represent the knowledge model, enabled a faster classification of intra-urban classes, and disabled the subjectivities which are related to the interaction of the analyst. The decision tree results were implemented in eCognition software to provide an effective and fast generation of semantic network in OBIA.
Glycosylphosphatidylinositol-anchored proteins are preferentially targeted to the basolateral surface in Fischer rat thyroid epithelial cells

Glycosylphosphatidylinositol (GPI) acts as an apical targeting signal in MDCK cells and other kidney and intestinal cell lines. In striking contrast with these model polarized cell lines, we show here that Fischer rat thyroid (FRT) epithelial cells do not display a preferential apical distribution of GPI-anchored proteins. Six out of nine detectable endogenous GPI-anchored proteins were localized on the basolateral surface, whereas two others were apical and one was not polarized. Transfection of several model GPI proteins, previously shown to be apically targeted in MDCK cells, also led to unexpected results. While the ectodomain of decay accelerating factor (DAF) was apically secreted, 50% of the native, GPI-anchored form, of this protein was basolateral. Addition of a GPI anchor to the ectodomain of Herpes simplex gD-1, secreted without polarity, led to basolateral localization of the fusion protein, gD1-DAF. Targeting experiments demonstrated that gD1-DAF was delivered vectorially from the Golgi apparatus to the basolateral surface. These results indicate that FRT cells have fundamental differences with MDCK cells with regard to the mechanisms for sorting GPI-anchored proteins: GPI is not an apical signal but, rather, it behaves as a basolateral signal. The "mutant" behavior of FRT cells may provide clues to the nature of the mechanisms that sort GPI-anchored proteins in epithelial cells.
A Resource Scheduling Algorithm Based on User Grouping for LTE-Advanced System with Carrier Aggregation

This paper focuses on the resource scheduling of LTE- Advanced system with carrier aggregation. With different fading characters, the aggregated carriers have different coverage between each other. Consequently, the carrier aggregation causes that the number of carriers which users can be scheduled on is various. The allocation fairness can not be achieved with the original proportional fair (PF) scheduling algorithm, since the PF assumes that all users can be scheduled on the entire spectrum resources. Thus, a PF scheduling algorithm based on user grouping (UG-PF) is proposed. The users are partitioned into specific groups according to the number of carriers that they can be scheduled on. Furthermore, a modified scheduling policy is obtained based on the average channel access probability of different user groups. Simulation results demonstrate that the UG-PF algorithm can accomplish better fairness among users compared with the original PF algorithm. In this paper, a PF scheduling algorithm based on user grouping (UG-PF) for LTE-Advanced system with carrier aggregation is proposed. The users are partitioned into some specific groups according to the number of carriers that they can be scheduled on. Then, the average channel access probability of different user group is analyzed. Based on the analysis results, a modified scheduling policy for the UG-PF scheduling algorithm is obtained. It can adjust the average channel access probability of different user groups proportionally so as to improve the allocation fairness. Through simulation, the results confirm that the UG-PF scheduling algorithm can accomplish better fairness among users compared with the original PF algorithm.
Metabolic engineering of the moss Physcomitrella patens to produce the sesquiterpenoids patchoulol and α/β-santalene

The moss Physcomitrella patens, has been genetically engineered to produce patchoulol and β-santalene, two valuable sesquiterpenoid ingredients in the fragrance industry. The highest yield of patchoulol achieved was 1.34 mg/g dry weight. This was achieved by non-targeted transformation of the patchoulol synthase and either a yeast or P. patens HMGR gene under the control of a 35S promoter. Santalene synthase targeted to the plastids yielded 0.039 mg/g dry weight of α/β santalene; cytosolic santalene synthase and 35S controlled HMGR afforded 0.022 mg/g dry weight. It has been observed that the final yield of the fragrance molecules is dependent on the expression of the synthase. This is the first report of heterologous production of sesquiterpenes in moss and it opens up a promising source for light-driven production of valuable fragrance ingredients.
Performance evaluation of direction of arrival estimation using MUSIC and ESPRIT algorithms for mobile communication systems

Source direction of arrival (DOA) estimation is one of the challenging problems in many applications. Such applications can be seen in wireless communications, radar, radio astronomy, sonar and navigation. The resolution of a source direction of arrival estimation can be enhanced by an array antenna system with innovative signal processing. Super resolution techniques take the advantage of array antenna structures to better process the incoming waves. These techniques also have the capability to identify the direction of multiple targets. This paper investigates performance of the DOA estimation algorithms namely; MUSIC and ESPRIT on the uniform linear array (ULA) in the presence of white noise. The performance of these DOA algorithms for a set of input parameters such as number of snapshots, number of array elements, signal-to-noise ratio are investigated. The simulation results showed that the resolution of the DOA techniques MUSIC and ESPRIT improves as number of snapshots, number of array elements, signal-to-noise ratio and separation angle between the two sources are increased.
Chart design of iterative decoding

Two simple and efficient charts for iterative decoding are proposed, called output mutual information chart with defined iterative degree (DID Chart) and near optimum output mutual information chart (NOMI Chart). Compared with BER performance curve, they show the iterative performance on the whole signal-to-noise ratio range with reduced computation complexity. The concepts are illustrated for bit-interleaved coded modulation with iterative decoding (BICM-ID). Some possible usages are also presented.
DENTI FICATION

This study examined the relevance of action identification principles to the dynamics of self-presentation. Subjects received either success or failure feedback for attempted artwork and then were led to expect interaction with a stranger who ostensibly valued either boastfulness or modesty in other people. Prior to this expected interaction, subjects were asked to provide descriptions of their behavior in the artwork portion of the study, with the understanding that these action i identities would be passed on to their interaction partner. Action identification : theory holds that successful actions tend to be identified at relatively high (meaningful, self-descriptive) levels, whereas unsuccessful actions tend to be identified at lower (movement-defined) levels. In line with this reasoning, failure subjects were expected to describe their artwork behavior at a lower level than was expected of success subjects. And if this were the case, self-presentation goals might also influence identification level: Anticipated interaction with someone who was thought to like boastful others (people who emphasize their accomplishments and general effectiveness) was expected to promote relatively high-level identities in action communication, whereas anticipated interaction with someone who was thought to like modest others (those who downplay their accomplishments and effectiveness) was expected to promote the communication of one's action in lower-level terms. Results supported these predictions.
Sustainable Design in Event Design: Opportunities and Limitations

Events offer valuable economic, social, cultural and educational benefits, and potential growth in tourism for many international destinations. As society gains a greater understanding about these impacts, events are being challenged to become more accountable for their managerial decisions and to produce outcomes which are more sustainable on multiple criteria and have positive environmental impacts. The purpose of this study was to discuss sustainable design in event design. Literature review will be conducted in this study as the research methodology. The aims of this study are (1) to discuss the opportunities of sustainable design in event design; (2) to discuss the limitations of sustainable design in event design. Lastly, findings from this study will provide insights on the opportunities of sustainable design in event design to develop better sustainable events in the future and limitations that have to overcome before a sustainable event been organize.