Miracle-dz/UniFAR-FTUs huggingface dataset:
Modeling evolution of a social network using temporalgraph kernels

Majority of the studies on modeling the evolution of a social network using spectral graph kernels do not consider temporal effects while estimating the kernel parameters. As a result, such kernels fail to capture structural properties of the evolution over the time. In this paper, we propose temporal spectral graph kernels of four popular graph kernels namely path counting, triangle closing, exponential and neumann. Their responses in predicting future growth of the network have been investigated in detail, using two large datasets namely Facebook and DBLP. It is evident from various experimental setups that the proposed temporal spectral graph kernels outperform all of their non-temporal counterparts in predicting future growth of the networks.
Editorial Influence of Nutrition on Premetabolic Syndrome and Vascular Variability Syndrome

The metabolic syndrome (MS) is a constellation of abnormalities including central obesity; glucose intolerance, and type 2 diabetes; hypertension; and a dyslipidemia characterized by increased serum triglycerides, decreased high-density lipoprotein (HDL) cholesterol, and increased small, dense low-density lipoprotein (LDL) particles [1-6]. Presence of biophysical-semeiotic constitution, and related inherited real risks evolving slowly towards relative disorders, may be defined as premetabolic syndrome. The metabolic syndrome affects more than 27% of adults in the United States [6] and increases the risk of cardiovascular disease 2- to 3-fold, but exclusively in individuals with biophysical-semeiotic constitution-dependent, inherited, coronary real risk, which has been described in the former paper on this website, thus not in all patients with MS [7-12]. More precisely speaking, all components of metabolic syndrome may occur exclusively in subjects with congenital acidosic enzyme metabolic histangiopathy (CAEMH), as well as with either "some" or all CAEMH-dependent, biophysical-semeiotic constitutions [4, 5, 7, 9-12]. As a consequence, not all patients with metabolic syndrome are equal. Biophysical-semiotic constitution may be characterised with abnormal vasomotion in the microcirculation. I recently expressed my views [5] about the Joint statement from the American Diabetes Association and the European Association for the Study of Diabetes [13], underscoring some important points. While some of the views were acceptable, critically important information was missing to warrant its designation as a syndrome [13]. Despite the alarming prevalence of the metabolic syndrome and the magnitude of risk it confers, defining the pathogenic links between the metabolic syndrome and cardiovascular disease, has been difficult, and whether they are united by some common underlying patho-physiology remains a matter of intense debate. It is possible that Quantum Biophysical Semeiotics can explain such relation [4, 5, 11, 12, 14, 15].
Dyslexia, a deficit or a difference: Comparing the creativity and memory skills of dyslexic and nondyslexic students in Iran

Positive and negative aspects of dyslexia were explored within the Iranian context. Dyslexia can be considered either as a deficit or merely as a difference. In this study 26 dyslexic primary-school students in Tehran were matched with 26 nondyslexics. The Shirazi and Nilipur (2004) Diagnostic Reading Test was administered to identify any significant difference in reading ability between the two groups. Then the Torrance (1974; as cited in Alizadeh, 1994) Creativity Test (Form B, picture subtest) and the Cornoldi (1995; as cited in Kakavand, 2003) Test of Visual-Spatial and Verbal Memory were used. Nondyslexics outperformed dyslexics significantly in visual-verbal memory of words for concrete objects and abstract concepts and in audio-verbal memory of words for abstract concepts. Dyslexic students performed significantly better in visual and audio memory of concrete words compared to abstract concepts; their visual-spatial memory was better than their visual-semantic memory, and their pictorial memory was also better than their verbal memory. Dyslexic students scored higher than nondyslexics for original thinking and equally as high in overall creativity. These findings indicate that a change of attitude is needed toward dyslexics.
Sexual Behavior of Murgantia histrionica (Hemiptera: Pentatomidae)

Murgantia histrionica (Hahn) is an economically important pest of brassiaceous crops in Central and Southern United States. Aspects of its biology have been studied by Paddock (1918), Chittenden (1920), White and Brannon (1933), and Canerday (1965); however, its sexual behavior has not been studied in detail. Therefore, we studied courtship, copulation, polygyny, and polyandry in this bug. Fish and Alcock (1973) and Gamboa and Alcock (1973) have reviewed the literature on pentatomid courtship and copulation.
Wavelength-sensitive thin-film filter-based variable fiber-optic attenuator with an embedded monitoring port

A wavelength-sensitive three-port variable fiber-optic attenuator (VFOA) is introduced by incorporating the movable optical mirror with a fixed desired thin-film filter (TF). Experimental proof of concept using an off-the-shelf measured 1545.60-nm TF and a mechanically movable mirror shows a low 0.47-dB optical loss, a low polarization-dependent loss of 0.6 dB at maximum optical attenuation setting, and a 15.9-dB dynamic range measured at the output port. Several proposed wavelength-sensitive three-port VFOAs can also be cascaded to form a low cost compact multiwavelength amplitude controller.
A new robust and efficient implementation of controlled types in the GNAT compiler

This paper discusses a new implementation model for supporting Ada controlled types in the GNAT compiler. After reviewing the semantics of controlled types, we revisit the original implementation from 1995 and discuss its performance issues. We then describe a new model which addresses all existing limitations and is shown to be superior to its predecessor. Finally, we conclude the paper with the status of the new implementation and possible future enhancements.
Capacity estimation of optical wireless communication systems over moderate to strong turbulence channels

Optical wireless communication (OWC) systems are rapidly gaining popularity as effective means of transferring data at high rates over short distances. OWC facilitates rapidly deployable, lightweight, high-capacity communication without licensing fees and tariffs. Nevertheless, the performance of this new technology depends strongly on the atmospheric conditions and the characteristics of the link. In this work, we study the influence of these parameters on both the average (ergodic) capacity and the outage capacity of an OWC system over moderate to strong turbulence channels modeled by gamma-gamma distribution. Moreover, we compare the results that we obtain estimating the average and outage capacities.
Reconsidering the Internet Routing Architecture

The current growth of the BGP routing tables [15] and Forwarding Information bases (FIB) on core routers worries several operators and vendors [21]. Another issue is the growth of the number of BGP messages that need to be processed by BGP routers [16]. This is not the first time that the Internet is confronted with such problems. The most successful solution has been the introduction of Classless Interdomain Routing (CIDR) [13]. Other solutions such as using the DNS to aid routing [14] were proposed, but not implemented. CIDR allowed to significantly reduce the growth rate of the BGP routing tables until a few years ago. Today, CIDR is not sufficient anymore due to the growth of multihomed stub ASes [1, 15]. This work in progress document is divided in two parts. In section 2, we first discuss several of the implicit assumptions of the current interdomain routing architecture. Then, in section 3, we discuss several alternatives to these assumptions and highlight some design choices.
Shoulder Deformities in Obstetric Brachial Plexus Paralysis: A Computed Tomography Study

Obstetric brachial plexus palsy invariably involves the upper roots. If left untreated, characteristic deformities of the shoulder are common sequelae. The most objective way to investigate these shoulder deformities is computed tomographic (CT) scanning of bilateral upper limbs. In this study, specific measurements on CT scans of bilateral upper extremities were performed in a population of patients with obstetric brachial plexus palsy before and after reconstruction (nerve repairs and secondary procedures). The measurements showed that the restoration of external rotation and the scapula stabilization procedure correct the inclination of the humeral head, improve the joint congruency significantly, and decrease the winging of the scapula, thus improving the kinetics of the shoulder. Periodic CT measurement is an objective method of measuring the changes at the shoulder joint that occur over time during the natural evolution of the obstetric brachial plexus palsy lesion and of documenting the benefits of microsurgical intervention.
The Continuum of Sexual Violence

Despite the fact that a substantial amount of research has been conducted on sexual victimization among youth and young adults with active night lives, few of these studies have provided an analysis of the varied types of victimization that have occurred. I attempt to fill this gap with a qualitative analysis of women’s accounts of sexual victimization. Based on the substantive content of these women’s accounts, a three-part typology was generated, comprised of: (a) competing definitions of the situation, (b) opportunistic predation, and (c) involuntary incapacitation. Implications of the findings are discussed.
Effects of camera position and media type on lifelogging images

With an increasing number of new camera devices entering the market, lifelogging has turned into a viable everyday practice. The promise of comprehensively capturing our life's happenings has caused adoption rates to grow, but approaches to do so greatly differ. In this paper we evaluate existing visual lifelogging capture approaches through a user study with two main capture dimensions: (1) comparing the body position where a lifelogging camera is worn: head versus chest (2) comparing the media captures: video versus stills. We equipped 30 participants with cameras on their heads and chests. That data was evaluated by subjective user ratings as well as by objective image processing analysis. Our findings indicate that (1) chest-worn devices are more stable and contain less motion blur through which feature detection by image processing algorithms works better than from head-worn cameras; 2) head-worn video cameras, however, seem to be the better choice for lifelogging as they capture more important autobiographical cues than chest-worn devices, e.g., faces that have been shown to be most relevant for recall.
Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media

Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks (LBSNs). While LBSNs are richer in their model and functions than SNs, they fail so far to attract as many users as SNs. On the other hand, SNs have large amounts of geo-tagged media that are under-utilized. In this paper, we propose an Interest-Aware Location-Based Recommender system (IALBR), which combines the advantages of both LBSNs and SNs, in order to provide interest-aware location-based recommendations. This recommender system is proposed as an extension to LBSNs. It is novel in: (1) utilizing the geo-content in both LBSNs and SNs; (2) ranking the recommendations based on a novel scoring method that maps to the user interests. It also works for passive users who are not active content contributors to the LBSN. This feature is critical to increase the number of LBSN users. Moreover, it helps with reducing the cold start problem, which is a common problem facing the new users of recommender systems who get random unsatisfying recommendations. This is due to the lack of user interest awareness, which is reliant on user history in most of the recommenders. We evaluated our system with a large-scale real dataset collected from foursquare with respect to precision, recall and the f-measure. We also compared the results with a ground truth system using metrics like the normalized discounted cumulative gain and the mean absolute error. The results confirm that the proposed IALBR generates more efficient recommendations than baselines in terms of interest awareness.
An Electronic Travel Aid based on multi-sensor fusion using extended Kalman filter

Inspired by the indoor localization technology of mobile robots, a novel Electronic Travel Aids (ETA) is developed based on multi-sensor fusion using an extended Kalman filter (EKF). A wearable sensor system is designed to estimate the real-time posture of user's lower limb. This system can be used both for monitoring the user's walking status and for realizing the relative localization. A belt of multiple sonar sensors worn by the user can detect the obstacle of unknown environment. Simultaneously, this sonar belt can also be used as the absolute localization device in a similar way as the mobile robot. An EKF is applied to realize the data fusion of different sensor systems. The abilities of obstacle avoidance and indoor localization of the proposed ETA are both verified through experiments.
Functional Diversity in Fungal Fatty Acid Synthesis

Acetylenic specialized metabolites containing one or more carbon-carbon triple bonds are widespread, being found in fungi, vascular and lower plants, marine sponges and algae, and insects. Plants, moss, and most recently, insects, have been shown to employ an energetically difficult, sequential dehydrogenation mechanism for acetylenic bond formation. Here, we describe the cloning and heterologous expression in yeast of a linoleoyl 12-desaturase (acetylenase) and a bifunctional desaturase with Δ12-/Δ14-regiospecificity from the Pacific golden chanterelle. The acetylenase gene, which is the first identified from a fungus, is phylogenetically distinct from known plant and fungal desaturases. Together, the bifunctional desaturase and the acetylenase provide the enzymatic activities required to drive oleate through linoleate to crepenynate and the conjugated enyne (14Z)-dehydrocrepenynate, the branchpoint precursors to a major class of acetylenic natural products.
The Dark Side of Leadership: Teacher Perspectives of Principal Mistreatment

This article, the first empirical study of its kind, presents findings from a larger qualitative study of teacher perspectives of principal mistreatment. A grounded theory method was used to study a sample of 50 U.S. teachers who believed they were subjected to long- term mistreatment from school principals. The authors briefly discuss descriptive, conceptual, and theoretical findings about principals' actions that teachers define as mistreatment. The harmful effects of such mistreatment on teachers psychologically/ emotionally and physically/physiologically as well as on classroom instruction and relationships with colleagues are more fully discussed. Implications of study findings are discussed for administrator and teacher preparation, professional educators, and further research.
Distribution of 3-hydroxy fatty acids in tissues after intraperitoneal injection of endotoxin.

BACKGROUND 3-Hydroxy fatty acids (3-OH FAs) with 10- to 18-carbon chain lengths are constituents of the endotoxin [lipopolysaccharide (LPS)] of gram-negative bacteria. We investigated whether these FAs may be used as chemical markers in measuring endotoxin concentrations in mammalian tissue samples. METHODS We used gas-liquid chromatography-tandem mass spectrometry to measure 3-OH FAs in serum and tissues (heart, liver, and skeletal muscles) of rats after intraperitoneal injection of Escherichia coli LPS. One group of rats (group I) received a single LPS dose of 20 mg/kg of body weight; group II rats received the same total dose but over the course of 10 days (2 mg/kg each day). Rats receiving saline (group III) were used as controls. RESULTS 3-OH FAs with chain lengths of 10, 12, 14, 16, and 18 carbons were detected in all studied types of samples. Group I rats had 50-fold and group II rats had 3-fold higher serum concentrations of 3-hydoxytetradecanoic acid (3-OH 14:0, the predominant 3-OH FA of E. coli LPS) than group III rats. Concentrations of 3-OH 14:0 in livers from group I and II rats were similar and fourfold higher than in group III rats, whereas concentrations of the same acid in skeletal and heart tissues did not differ among the three groups of rats. 3-OH 14:0 dominated in heart and liver of group III rats, whereas 3-OH 16:0 (followed by 3-OH 14:0) dominated in skeletal muscles and blood. CONCLUSIONS 3-OH FAs 10-18 carbons in length, probably originating from endotoxin and mitochondrial beta-oxidation, are abundant in rat liver, skeletal muscles, and heart and can also be detected in blood. The widespread presence of these compounds in mammals limits their usefulness as LPS markers for endotoxin in clinical samples.
Understanding and evaluating creativity

This tutorial presents different perspectives on creativity based on knowledge from research and practice. The aim is to provide an understanding of creativity and how to evaluate it in terms of the ways audiences respond, how we assess the creative works themselves and the role of the expertise and skills of those who make works. Participants will be introduced to tools for analyzing and evaluating creative engagement and creativity support through group work. It is intended for people who would like to learn ways of demystifying the creative activities and practitioners who would like to create more intriguing audience/user experiences and better understand their creative processes.
An intelligent learning system for supporting interactive learning through student engagement study

Interactive learning in class or off-class is crucial to teaching and learning. In this paper, we propose an intelligent learning system for supporting student interactive learning through engagement study, which is based on three modules, i.e., attendance management, teacher-student (T&S) communication, visual focus of attention(VFOA) recognition. Attendance management matches the student's identity and locates his/her profile. T&S communication provides an additional channel of Question and Answer (Q&A) between a teacher and students. VFOA recognition captures student's attention on different learning targets based on the estimated head poses, visual environment cues and prior state in class. Student engagement is analyzed based on multiple cues of one's attendance, class communication and VFOA. The experimental results suggest that an intelligent learning system is benefit to improve interactive learning and enhance learning efficiency.
The role of IL-6 in the physiologic versus hypertensive blood pressure actions of angiotensin II

Angiotensin II (AngII) is a critical physiologic regulator of volume homeostasis and mean arterial pressure (MAP), yet it also is known to induce immune mechanisms that contribute to hypertension. This study determined the role of interleukin‐6 (IL‐6) in the physiologic effect of AngII to maintain normal MAP during low‐salt (LS) intake, and whether hypertension induced by plasma AngII concentrations measured during LS diet required IL‐6. IL‐6 knockout (KO) and wild‐type (WT) mice were placed on LS diet for 7 days, and MAP was measured 19 h/day with telemetry. MAP was not affected by LS in either group, averaging 101 ± 4 and 100 ± 4 mmHg in WT and KO mice, respectively, over the last 3 days. Seven days of ACEI decreased MAP ~25 mmHg in both groups. In other KO and WT mice, AngII was infused at 200 ng/kg per minute to approximate plasma AngII levels during LS. Surgical reduction of kidney mass and high‐salt diet were used to amplify the blood pressure effect. The increase in MAP after 7 days was not different, averaging 20 ± 5 and 22 ± 6 mmHg in WT and KO mice, respectively. Janus Kinase 2 (JAK2)/signal transducer of activated transcription (STAT3) phosphorylation were not affected by LS, but were increased by AngII infusion at 200 and 800 ng/kg per minute. These data suggest that physiologic levels of AngII do not activate or require IL‐6 to affect blood pressure significantly, whether AngII is maintaining blood pressure on LS diet or causing blood pressure to increase. JAK2/STAT3 activation, however, is tightly associated with AngII hypertension, even when caused by physiologic levels of AngII.
Kalman Filter Underwater Passive Geomagnetic Navigation Technology Research Considering the Impact of Diurnal Variation

Geomagnetic information is used to restrict the rising error of inertial navigation system (INS) in passive geomagnetic navigation, and it has lots of advantages, such as high precision and concealment, without time limit. The paper introduces the development of passive geomagnetic navigation technology at home and abroad, and analyses the problems of previous studies. Firstly, only the small-scale observed geomagnetic data can be used in submarine navigation instead of the IGRF value. Secondly, the influence of the geomagnetic diurnal variation must be taken into account. The theories and algorithms of Kalman filter passive geomagnetic navigation are stated in this article, as well as the characteristics of geomagnetic diurnal variation, we adopts the mean diurnal correction method to reduce the impact of geomagnetic diurnal variation. At last, as an example, we use marine magnetic anomaly data of a certain place in china to do a simulation test, the result shows that the navigation effect after the mean diurnal correction is better than without diurnal correction.
SPARK: Static Program Analysis Reasoning and Retrieving Knowledge

Program analysis is a technique to reason about programs without executing them, and it has various applications in compilers, integrated development environments, and security. In this work, we present a machine learning pipeline that induces a security analyzer for programs by example. The security analyzer determines whether a program is either secure or insecure based on symbolic rules that were deduced by our machine learning pipeline. The machine pipeline is two-staged consisting of a Recurrent Neural Networks (RNN) and an Extractor that converts an RNN to symbolic rules. To evaluate the quality of the learned symbolic rules, we propose a sampling-based similarity measurement between two infinite regular languages. We conduct a case study using real-world data. In this work, we discuss the limitations of existing techniques and possible improvements in the future. The results show that with sufficient training data and a fair distribution of program paths it is feasible to deducing symbolic security rules for the OpenJDK library with millions lines of code.
Doctrines of Administration: A Brief History

The writer contends a series of themes or doctrines have characterized educational administration over the last century. These doctrines, strongly influenced by forces outside the field, provide a justification for the ad ministrator and his work. The author hopes that future doctrines will be less ambiguous and more indigenous to education. Mr. Button is assistant professor of education at the State University of New York at Buffalo.