Miracle-dz/UniFAR-FTUs huggingface dataset:
Minimizing the Traffic Impact Caused by Infrastructure Maintenance Using Ant Colony Optimization

Maintenance measures at infrastructural buildings such as bridges or tunnels in urban areas always have influence on the traffic flow. Finding a schedule that keeps this impact as low as possible by considering the mutual interaction between several road closures is a highly complex optimization problem. In a current research project we have developed an optimization tool to solve this problem based on ant colony optimization. Over a number of iterations teams of ants construct maintenance schedules for the next few years based on information about the quality of the schedules found in the last iteration steps as well as general information about the condition of the different bridges. The quality of the found schedules is evaluated in the external traffic simulator VISUM. For each year of the schedule a disturbed road network (with reduced capacity at the roads containing bridges under maintenance) is created from the original network and evaluated. As traffic demand and its temporal distribution stay the same for the disturbed network as for the undisturbed, the total net number of vehicle hours during rush hour is a good measurement of the impact of the maintenance activities on traffic. The optimization goal is to minimize this number for the worst year in the schedule.
A Momentum Theory for Hot Topic Life-cycle: A Case Study of Hot Hashtag Emerging in Twitter

The existing work on mining of hot topics is mainly based on topic multiplicity and attention from users in unit time. With the advent of social networking, the weight has been put on the hot topics which can effectively describe the importance and hotness of a topic. However, the researches on the influence exerted by the accumulation of attention towards hot topics and the alternation between hot topics and outdated ones are still relatively weak. In this paper, a novel algorithm for calculating the hotness of topics is proposed based on momentum. The number of the participants, but also the long tail effect of the historical accumulation on the topic is taken into consideration. Through this algorithm, we can accurately build a model for the hot topics on their emerging growing period and effectively describe the whole life circle of the topic. Additionally, the change between hot topics and old ones can be distinguished efficiently. Our experiments show that the process of a topic growing into a hot topic can be detected explicitly. Potential hot topics can be explored and the overdue ones can be rejected respectively.
Future Semantic Segmentation Using 3D Structure

Predicting the future to anticipate the outcome of events and actions is a critical attribute of autonomous agents; particularly for agents which must rely heavily on real time visual data for decision making. Working towards this capability, we address the task of predicting future frame segmentation from a stream of monocular video by leveraging the 3D structure of the scene. Our framework is based on learnable sub-modules capable of predicting pixel-wise scene semantic labels, depth, and camera ego-motion of adjacent frames. We further propose a recurrent neural network based model capable of predicting future ego-motion trajectory as a function of a series of past ego-motion steps. Ultimately, we observe that leveraging 3D structure in the model facilitates successful prediction, achieving state of the art accuracy in future semantic segmentation.
How to measure motivation to change risk behaviours in the self-determination perspective? The Polish adaptation of the Treatment Self-Regulation Questionnaire (TSRQ) among patients with chronic diseases

The aim of this study was to validate the Polish adaptation of the Treatment Self-Regulation Questionnaire (TSRQ; Ryan, Conell, 1989), which measures the degree of self-determination in risk behaviour changes (diet, exercise and smoking). The study comprised 219 patients (101 after acute coronary syndrome and 118 with type 2 diabetes), beginning to undergo treatment. The Global Motivation Scale was used to test a convergent validity. The confi rmatory factor analysis (CFA) did not support the theoretical four-factor model, thus an exploratory analysis was conducted to determine an optimal model across risk behaviours. The adopted two-factor model matched original TSRQ subscales: autonomous motivation and external regulation (it did not contain the items from the introjected regulation and amotivation subscales). The internal consistency of factors (Cronbach’s α) ranging from . 78 to . 89. Structural equation modeling revealed the impact of global motivation on contextual motivation, limited to the equivalent type of regulation. The action aimed at supporting patient’s autonomy should consider the particular behaviour and the global motivation as a resource in disease.
Slurry Phase Hydrocracking of Residue by Phosphomolybdic andPhosphotungstic Acids

Slurry phase hydrocracking of vacuum residue was studied on heteropoly acids and on super acid. In this regards, heteropoly acid of phosphomolybdic, phosphotungstic and superacid of molybdenum-antimony fluoride were used. Deep hydrocracking of residue was noticed even at moderate operating conditions for all acidic catalysts. Due to higher hydrogenating functionality of tungsten, the HDM activity of the phosphotungstic acid is higher than that of molybdenum containing acids. Even the residue hydrocracking activity of former catalyst is also high. It is also noticed from sulphur distribution of liquid product that thiophenic sulphur compounds are formed due to C-S bond cleavage at branching of condensed aromatic rings. Moreover, phosphotungstic acid gives high percentage of aromatic products whereas the considerable amount of saturate hydrocarbons is produced by phosphomolybdic acid. The coke produced by phosphotungstic acid catalyst is hard in nature indicating that extensive polymerization reaction occurs at reaction conditions. Higher H/C ratio indicates the deep hydrogenation of liquid products in presence of super acids. Instead of use superacid, tungsten based heteropoly acid can be effectively used for hydrocracking of residue.
GazeRevealer: Inferring Password Using Smartphone Front Camera

The widespread use of smartphones has brought great convenience to our daily lives, while at the same time we have been increasingly exposed to security threats. Keystroke security is an essential element in user privacy protection. In this paper, we present GazeRevealer, a novel side-channel based keystroke inference framework to infer sensitive inputs on smartphone from video recordings of victim's eye patterns captured from smartphone front camera. We observe that eye movements typically follow the keystrokes typing on the number-only soft keyboard during password input. By exploiting eye patterns, we are able to infer the passwords being entered. We propose a novel algorithm to extract sensitive eye pattern images from video streams, and classify different eye patterns with Support Vector Classification. We also propose a novel enhanced method to boost the inference accuracy. Compared with prior keystroke detection approaches, GazeRevealer does not require any external auxiliary devices, and it relies only on smartphone front camera. We evaluate the performance of GazeRevealer with three different types of smartphones, and the result shows that GazeRevealer achieves 77.43% detection accuracy for a single key number and 83.33% inference rate for the 6-digit password in the ideal case.
Significant Clinical Symptoms and Signs in Knee Osteoarthritis Patients: Relation to a Diagnosis of Knee Osteoarthritis

Osteoarthritis(OA) is often diagnosed by an overall clinical presentations based upon the patient's age and history, findings on physical examination, and laboratory and/or radiographic findings. The present study has thus helped in making a diagnosis of knee OA based upon significant clinical symptoms and signs of the disease condition which might help to detect the early stages of knee OA in patients with knee pain.
Deep brain stimulation for obsessive–compulsive disorders: long-term analysis of quality of life

Objective To evaluate the long-term effects of deep brain stimulation (DBS) on quality of life (QOL) in therapy-refractory obsessive–compulsive disorder (OCD) patients. Design 16 patients who met Diagnostic and Statistical Manual of Mental Disorders (4th ed) (DSM-IV) criteria for OCD and were considered therapy-refractory were treated with DBS. Patients were assessed 1 month before device implantation (T0), at 8 months of active stimulation (T1) and at 3–5 years of active stimulation (T2). QOL was measured with the WHO Quality of Life Scale-Brief Version (WHOQOL-BREF) that covers physical, psychological, social and environmental domains. The study was conducted between April 2005 and January 2011 at the Academic Medical Center, Amsterdam, The Netherlands. Results At T1 and T2, we found significant improvement (p<0.05) in the general score and in the physical, psychological and environmental domains of WHOQOL-BREF. Between T1 and T2, the physical and psychological domains improved further (p<0.05). At T2, the general score improved by a total of 90%, the physical and psychological domains both improved by 39.5% and the environmental domain improved by 16%. The social domain did not change between baseline and follow-up assessments. Conclusions In line with symptom improvement, patient's QOL improved in the general score and in three of the four WHOQOL-BREF domains. This suggests that the improvement caused by DBS is not limited to symptom reduction alone, but also has a positive influence on patients’ perception of their physical, psychological, environmental and global QOL. Clinical trial registration http://isrctn.org identifier: ISRCTN23255677.
Aalborg Universitet Mathematics Learning by Programming in a Game Engine Development of Knowledge and Student Motivation Triantafyllou,

This paper emerges from our research focusing on mathematics education in trans-disciplinary engineering programs and presents a case study in such an engineering discipline, namely the Media Technology program at Aalborg University Copenhagen, Denmark. In this case study, we substituted traditional mathematics assignments with a programming project in a game engine (Unity) when teaching the reflection and refraction vector calculation. The main concept of this approach was that students get simple projects in Unity, where mathematics is used for game mechanics, and they have to modify or further develop these projects. We conducted interviews with nine students who participated in this case study, and we analysed their mathematical work in Unity. For analysing students’ mathematical practice, we employed the anthropological theory in didactics and the instrumental approach. The analysis of student responses and projects provided insights on how students apply knowledge from a mathematical model to implement a physical model. This study shed light on students’ misconceptions and difficulties but also on opportunities for them to challenge their understanding. Moreover, it revealed that students do not always internalize the mathematical knowledge they acquire, and they may get correct results without understanding their mathematical meaning. We conclude that this type of activities is more beneficial for these students compared to mathematical exercises, because they challenge their understanding and confront them with their misconceptions.
Pecking Order Theory Test of Firms Listed at East Africa Securities Exchanges

For a long time, there has been debate on whether firms have a preferred hierarchy of financing structure. Indeed, pecking order theory argues in favour of a preferred hierarchy of financing decisions with the highest preference being to use internal financing or retained earnings first, then debt and lastly external equity or shares. While some scholars have supported the existence of that rigid structure, others have argued to the contrary. Empirical works have yielded mixed results on the same. This study therefore analysed the relationship between financial structures and financial performance of listed firms at the East Africa Securities Exchanges in an attempt to validate the pecking order theory. The study employed explanatory research design with secondary panel data from the financial statements of 61 firms retrieved from the securities exchanges hand books for the period December 2006-2014. Descriptive statistics, Feasible Generalized Least Squares method, random effect for models without moderator and fixed effect for models with moderator, based on Hausman specification test were used. The study found out there is no preferred hierarchy and that various markets had their own preferred choices. As to the relationship between financial structure and return on assets or return on equity amongst securities exchanges, the study revealed that such relationships are different. It is therefore recommended that firms should use shareholders’ funds as much as practical before they result to borrowing. Firms should also look at and evaluate the political, economic, social and technological environment within their markets together with their internal environment ranging from opportunities available, management potential and industry threats among others, before making decision on the mode of raising finance. Keywords : Financial performance, financial structure, pecking order
THE SHARE OF INTENSIVE AND EXTENSIVE FACTORS ON THE GDP DEVELOPMENT OF SELECTED EU COUNTRIES

The paper introduces new methodology how to count the share of intensive factors (total factors productivity) and extensive factors (total input factors, TIF) on the GDP development. The methodology is applicable for all possible developments and not only for growth of GDP as in case of growing accounting equation. The methodology is used for investigation of intensive and extensive development of selected EU countries with history of socialistic regime. The development of TIF is further divided on the development of labor and capital. The results are compared with results achieved for EU-15.
Frame Interpolation Based on Visual Correspondence and Coherency Sensitive Hashing

The technology of frame interpolation can be applied in intelligent monitoring systems to improve the quality of surveillance video. In this paper, a region-guided frame interpolation algorithm is proposed by introducing two innovative improvements. On the one hand, a detection approach is presented based on visual correspondence for detecting the motion regions that correspond to attracted objects in video sequences, which can narrow the prediction range of interpolated frames. On the other hand, spatial and temporal mapping rules are proposed using coherency sensitive hashing, which can obtain more accurate predicted values of interpolated pixels. Experiments show that the proposed method can achieve encouraging performance in terms of visual quality and quantitative measures.
Bankruptcy and The (Hidden) Cost of Organized Labor: Evidence from Union Elections*

Arguments that worker unionization leads to changes in productivity, employment, or business survival find little support in the empirical literature. While unionization may have limited economic impact in good states, unionized workers are entitled to special treatment in bankruptcy court. This shift in bargaining power can be detrimental to other corporate stakeholders in default states, with senior, unsecured creditors standing to lose the most. We gather data on union elections covering several decades and employ a regression discontinuity design to identify the effect of worker unionization on bondholders’ wealth. Closely-won union elections lead to significant losses to bond values, but do not lead to poorer firm performance nor higher default risk. Critically, unionization is associated with longer proceedings in bankruptcy court, with more bankruptcy emergences and subsequent refilings, and with higher fees and expenses paid to lawyers and financial experts in court. All of these costs diminish corporate asset values, aggravating bondholders’ losses. The value effect of unionization is weaker in states where unions have been undermined by the passage right-to-work laws.
O-GlcNAc homeostasis contributes to cell fate decisions during hematopoiesis

The addition of a single β-d-GlcNAc sugar (O-GlcNAc) by O-GlcNAc-transferase (OGT) and O-GlcNAc removal by O-GlcNAcase (OGA) maintain homeostatic O-GlcNAc levels on cellular proteins. Changes in protein O-GlcNAcylation regulate cellular differentiation and cell fate decisions, but how these changes affect erythropoiesis, an essential process in blood cell formation, remains unclear. Here, we investigated the role of O-GlcNAcylation in erythropoiesis by using G1E-ER4 cells, which carry the erythroid-specific transcription factor GATA-binding protein 1 (GATA-1) fused to the estrogen receptor (GATA-1–ER) and therefore undergo erythropoiesis after β-estradiol (E2) addition. We observed that during G1E-ER4 differentiation, overall O-GlcNAc levels decrease, and physical interactions of GATA-1 with both OGT and OGA increase. RNA-Seq–based transcriptome analysis of G1E-ER4 cells differentiated in the presence of the OGA inhibitor Thiamet-G (TMG) revealed changes in expression of 433 GATA-1 target genes. ChIP results indicated that the TMG treatment decreases the occupancy of GATA-1, OGT, and OGA at the GATA-binding site of the lysosomal protein transmembrane 5 (Laptm5) gene promoter. TMG also reduced the expression of genes involved in differentiation of NB4 and HL60 human myeloid leukemia cells, suggesting that O-GlcNAcylation is involved in the regulation of hematopoietic differentiation. Sustained treatment of G1E-ER4 cells with TMG before differentiation reduced hemoglobin-positive cells and increased stem/progenitor cell surface markers. Our results show that alterations in O-GlcNAcylation disrupt transcriptional programs controlling erythropoietic lineage commitment, suggesting a role for O-GlcNAcylation in regulating hematopoietic cell fate.
A GEOMETRIC MORPHOMETRIC STUDY OF THE GEOGRAPHIC POPULATIONS OF ASIAN CITRUS PSYLLID, DIAPHORINA CITRI (HEM.: LIVIIDAE), IN IRAN AND PAKISTAN

پسیل آسیایی مرکبات، Diaphorina citri Kuwayama، آفت مهم مرکبات است که عامل بیماری باکتریایی میوه‌سبز مرکبات، که Huanglongbing نیز نامیده می‌شود، را منتقل می‌کند. هدف از مطالعه‌ی حاضر، بررسی تفاوت‌های شکل بال جلو در میان جمعیت‌های جغرافیایی پسیل آسیایی مرکبات در ایران و همچنین یک جمعیت از پاکستان بود. در این مطالعه، حشرات بالغ پسیل از باغ‌های درخت لیمو، Citrus aurantifolia (Christm.) Swingle، از جنوب ایران در سال 1389 جمع‌آوری شدند. بال جلویی دوازده جمعیت پسیل آسیایی مرکبات (30 پسیل بالغ ماده از هر جمعیت که به‌طور تصادفی انتخاب شده بودند) به‌وسیله‌ی آنالیز ریخت‌سنجی هندسی بررسی شد. آنالیز واریانس چند‌متغیره و یک‌متغیره، نشان‌دهنده‌ی اختلاف معنی‌دار در شکل و اندازه‌ی بال جمعیت‌های مورد بررسی بود. بر پایه‌ی شکل بال جلویی، جمعیت‌های سیستان و بلوچستان و پاکستان از سایر جمعیت‌ها، شامل هرمزگان (میناب، رودان، فارغان، حاجی آباد)، کرمان (منوجان، کهنوج، جیرفت-عنبر‌آباد، جیرفت-بلوک، ارزوئیه) و فارس (داراب)، متفاوت بودند. با توجه به دلایل زیر، تنوع جغرافیایی با تقابل مکانیسم‌های ژنتیکی و فرآیندهای محیطی توسعه یافت: (1) تفاوت معنی‌داری در شکل و مربع فواصل ماهالانوبیس (Mahalanobis) بین برخی از جمعیت‌ها وجود داشت، (2) همبستگی بین ماتریس فاصله‌ی ماهالانوبیس و ماتریس فاصله‌ی جغرافیایی معنی‌دار بود و (3) بال‌ها به‌صورت آلومتریک (allometric) رشد یافته و جمعیت‌های جغرافیایی، دارای جهت آلومتریک مجزا ولی موازی نسبت به هم بودند. می‌توان اظهار داشت که شکل‌شناسی بال شاید بتواند در ارزیابی‌های مقدماتی ساختار جمعیت و روش‌های کنترل پسیل آسیایی مرکبات در ایران مفید واقع شود.
Foraging strategy of masked boobies from the largest colony in the world: relationship to environmental conditions and fisheries

The largest masked booby Sula dactylatra colony in the world, with >100 000 individuals, is located in the eastern tropical Pacific (ETP) on Clipperton Island. We studied their foraging ecology and their relationship with the environment as well as with the tuna purse seine fishery. We examined the movements of birds at sea and studied their diet. Breeding masked boobies foraged mainly during day time, departing early in the morning and returning late in the evening, with a few birds spending the night at sea mainly in flight. The foraging range of birds rearing chicks was on average 103 km (maximum 242 km), with 73% of the time spent in flight. Foraging zones, as measured by first passage time analyses, indicated that zones of area-restricted search (ARS) were 3 km in diameter on average (average duration 1 h) and were located at the extremity of individual trips. ARS zones were dispersed around Clipperton, with no particular concentration, and individual birds never returned to the same ARS from one trip to the next. These results suggest that the foraging sectors of masked boobies were unpredictable at a small scale. The foraging area was located in a zone of high primary production that had drifted from the coasts of Central America. This large-scale feature appears to be predictable and explains the strong seasonality in the breeding season of the population. This peak of productivity occurs year after year around the island in January to March, i.e. during the time of highest energy demand for the colony, when birds are feeding large chicks. Masked boobies dove at an average depth of 2 m (maximum 6 m) and fed almost exclusively on flying fishes, with an estimated daily catch for the population of 69 t of fish. Around Clipperton, yellowfin tuna are caught by the purse seine fishery in large numbers in association with dolphins. Since boobies are observed feeding almost exclusively in association with tuna and dolphins that drive flying fish to the surface, making them accessible for the birds, their dependence on tuna suggests that overexploitation of tuna stocks in this area could have a negative impact on the masked booby population.
WETTING PROPERTIES OF BEECH , FIR AND POPLAR INTERACTING WITH DIFFERENT MOLAR-MASS UREA-FORMALDEHYDE RESINS

The objective of this work was to evaluate the influence of the molar mass of the urea-formaldehyde (UF) resins on the wetting properties of beech, fir and poplar. It was achieved by monitoring the contact angle formation between the small resin drops and the radial and tangential surfaces of the selected wood species. Three UF resins samples were used, having different degree of condensation, and thus having different molar mass distribution. The results have showed relatively high contact angle at the zero position for all three UF resins, which could be observed by the formation of the so-called "sitting drops". Subsequent measurements at the selected time intervals (5, 10 and 15 seconds after the initial contact) have showed that the increase in the UF resins molar mass also increases the contact angle, resulting in the lower wetting of substrates from all three wood species. Comparing the effects of the wood species, the results showed that the fir wood has the highest wettability in regard to both beech and poplar. This was noticed with all of the UF resin samples and for all of the measuring intervals. Contrary, the beech substrate has resulted in the highest contact angle, under the same test conditions. The effects of wood substrate on the wettability can be addressed to the anatomical structure of the selected wood species and the percentage ratio of the early wood versus late wood.