Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Incremental EM on Document Summarization using Probabilistic Latent Semantic Analysis

— In our research work we have developed a summarizer that produces an effective and compact summary using probabilistic approach of LSA. Here we have used incremental EM instead of standard EM. In this paper we have shown, how the incremental EM affects summarization process. We have also performed a performance comparison experiment on the standard and incremental EM. It is concluded with preliminary experimental results that Standard EM requires large no of iterations for convergence in comparison to Incremental EM and makes PLSA training fast. In case of real time text summarization, time is the key. Thus speedy incremental EM enhances the pace of PLSA summarizer without losing the document integrity or summary quality. These summaries are generated on a dataset collected from various news portals. The results prove that incremental EM makes summarizer fast in comparison to standard EM.
Effect of Packaging Method and Storage Time on Physicochemical Characteristics of Dry-Cured Pork Neck Products at 10°C

Dry-cured pork neck samples were stored at 10°C for 90 days under vacuum packaging (VP) or modified atmosphere packaging (MAP; 25% CO2+75% N2) conditions. The pH, moisture, water activity, total aerobic bacteria, and Enterobacteriaceae counts of dry-cured pork neck products with MAP were significantly lower than those with VP (p<0.05) after 90 days of storage. However, CIE b* and 2-thiobarbituric acid reacted substance (TBARS) values of the pork product with MAP were significantly higher (p<0.05) than those with VP. Total aerobic bacterial counts and Enterobacteriaceae counts of samples with MAP were lower than those with VP after 30 days of storage. Sensory results indicated that aroma, flavor and tenderness scores of the samples with both VP and MAP decreased during storage and the scores after >60 days of storage were lower than those at Day 1. In conclusion, despite presenting higher lipid oxidation, the samples stored in packages containing 25% CO2 for 90 days at 10°C have lower bacterial counts than vacuum-packed samples. Therefore, further studies should be performed on the packaging of dry-cured meat at adjusted concentrations of CO2.
Long-Term Variability of Serum Lipoprotein(a) Concentrations in Healthy Fertile Women

Abstract Lipoprotein(a) is a unique lipoprotein with atherothrombogenic properties. Although its blood concentration is mainly genetically determined, various factors exist which may cause variability. These may influence the clinical use of the results. We studied lipoprotein(a) biological variation by a rate nephelometric assay over a period of two years in a population of healthy fertile women. The study was performed in 12 volunteers, healthy subjects with various lipoprotein( a) concentrations, by monthly determinations during one year and a single determination one year later, together with measurements of total, high density lipoprotein and high density lipoprotein2 cholesterol, triglycerides and apolipoproteins A1 and B. The intra-individual variability of lipoprotein(a) ranged between 4 to 20%, with three subjects showing a coefficient of biological variation higher than 15 %. In absolute terms, the difference between two determinations could represent 0.44 g/l or 50 % of the mean value. This study suggests that physiological lipoprotein( a) variations should be taken into account for clinical purposes, especially in patients in need of thorough risk evaluation.
Efficient Visual Search of Videos Cast as Text Retrieval

We describe an approach to object retrieval which searches for and localizes all the occurrences of an object in a video, given a query image of the object. The object is represented by a set of viewpoint invariant region descriptors so that recognition can proceed successfully despite changes in viewpoint, illumination and partial occlusion. The temporal continuity of the video within a shot is used to track the regions in order to reject those that are unstable. Efficient retrieval is achieved by employing methods from statistical text retrieval, including inverted file systems, and text and document frequency weightings. This requires a visual analogy of a word which is provided here by vector quantizing the region descriptors. The final ranking also depends on the spatial layout of the regions. The result is that retrieval is immediate, returning a ranked list of shots in the manner of Google. We report results for object retrieval on the full length feature films 'Groundhog Day', 'Casablanca' and 'Run Lola Run', including searches from within the movie and specified by external images downloaded from the Internet. We investigate retrieval performance with respect to different quantizations of region descriptors and compare the performance of several ranking measures.
r-Regular P2P Broadcast Networks: Optimal Delay and Throughput Using Network Coding

We introduce a homogeneous $r$-regular network model for a peer-to-peer (P2P) video broadcast network. Such networks are simple to construct and allow the implementation of fairness strategies. We use our model to show why the greedy and rarest first push-based strategies give the suboptimal performance often observed in the literature. We propose a novel network coding based transmission strategy and prove that it results in optimal playback delay and throughput performance.
Visual analysis of complex firewall configurations

Firewalls have become essential components in the security concept of almost any modern computer network. Due to their relevance and central location in the network, their programming logic often survives several generations of administrators and hardware. Understanding the logic behind a firewall configuration is thus an important but challenging task for a network administrator. In general, there is a tendency to add new rules while old rules are only rarely changed or removed due to unexpected consequences in the network. In this paper we present a visualization tool to support the network administrator in this complex task of understanding firewall rule sets and object group definitions. The tool consists of a hierarchical sunburst visualization, which logically groups rules or object groups according to their common characteristics, a color-linked configuration editor and classical tree view components for rules and object groups. All these components are interactively linked to enable both exploratory and hypotheses testing tasks aimed at understanding the complex functionality of a firewall configuration. To verify our design, we present two case studies on the analysis of rule usage and on nested object groups and collected feedback from five firewall administrators.
Experiences of Sexual Victimization by Peers among Adolescents in Residential Care Settings

This study explores the prevalence and multilevel risk factors of 1,309 Israeli Arab and Jewish adolescents’ experiences of unwelcome sexual behaviors by peers in residential care settings (RCSs) for at-risk children. I examine the links between adolescents’ reports of sexual victimization, adolescents’ individual characteristics, and RCS-level characteristics using hierarchical linear modeling (HLM). Approximately 40 percent of adolescents reported having been victims of at least one sexually violent act by peers in the month prior to the survey. Adolescents with more adjustment difficulties, those who experienced more physical maltreatment by staff, and those who perceived the institutional antiviolence policy as less clear, fair, and consistent were at higher risk for peer sexual victimization. Sexual victimization by peers is also positively associated with concentrations of males and adolescents with adjustment difficulties and with residence in Jewish and group settings. The link between staff maltreatment and sexual victimization by peers was stronger among adolescents from Jewish than Arab RCSs.
An Algorithmic Construction of Four-Level Response Surface Designs

Response surface methodology is widely used for developing, improving, and optimizing processes in various fields. In this article, we present a method for constructing four-level design matrices in order to explore and optimize response surfaces where the predictor variables are each at four equally spaced levels, by utilizing a genetic algorithm. The produced designs achieve both properties of near-rotatability and estimation efficiency.
Moments and muscle activity after high tibial osteotomy and anterior cruciate ligament reconstruction.

PURPOSES To evaluate the effects of simultaneous high tibial osteotomy (HTO) and anterior cruciate ligament (ACL) reconstruction on 1) the external knee adduction moment, 2) the external knee flexion and extension moments, and 3) the quadriceps, hamstrings, and gastrocnemius muscle activity during walking. METHODS Twenty-one patients with varus malalignment of the lower limb, medial compartment knee osteoarthritis, and concomitant anterior cruciate ligament (ACL) deficiency were tested before and 1 yr after undergoing simultaneous medial opening wedge high tibial osteotomy (HTO) and ACL reconstruction during a single operation. Three-dimensional kinetic and kinematic data were used to calculate external coronal and sagittal moments about the knee. EMG data from the quadriceps, hamstrings, and gastrocnemius were used to determine coactivation ratio and activation patterns. RESULTS Neutral alignment and knee stability were achieved in all patients after surgery. The peak knee adduction moment decreased from 2.88 +/- 0.57 to 1.71 +/- 0.56%BW x Ht (P < 0.001). The early stance knee flexion moment decreased from 1.95 +/- 1.89 to 0.88 +/- 1.17%BW x Ht (P < 0.01). The late stance knee extension moment increased from 1.83 +/- 1.53 to 2.76 +/- 1.22%BW x Ht (P < 0.001). There were no significant differences in muscle coactivation or muscle activation patterns (P > 0.05). CONCLUSIONS Improving lower limb alignment and knee stability significantly alters the coronal and the sagittal moments about the knee during walking, without apparent changes in muscle activation patterns.
Searching for Shapes in Cryptographic Protocols (extended version)

We describe a method for enumerating all essentially different executions possible for a cryptographic protocol. We call them the shapes of the protocol. Naturally occurring protocols have only finitely many, indeed very few shapes. Authentication and secrecy properties are easy to determine from them, as are attacks and anomalies. cpsa, our Cryptographic Protocol Shape Analyzer, implements the method. In searching for shapes, cpsa starts with some initial behavior, and discovers what shapes are compatible with it. Normally, the initial behavior is the point of view of one participant. The analysis reveals what the other principals must have done, given this participant’s view. The search is complete, i.e. every shape can in fact be found in a finite number of steps. The steps in question are applications of two authentication tests, fundamental patterns for protocol analysis and heuristics for protocol design. We have formulated the authentication tests in a new, stronger form, and proved completeness for a search algorithm based on them.
Global stability analysis of computer networks with arbitrary topology and time-varying delays

In this paper, we determine the delay-dependent conditions of global asymptotic stability for a class of multi-dimensional nonlinear time-delay systems with application to computer communication networks. A nonlinear delayed model is considered for a rate-based congestion control system of a heterogeneous network with arbitrary topology and time-varying delays. We propose a Lyapunov-based method to obtain a sufficient condition under which global asymptotic stability of the equilibrium is guaranteed. The main contribution of the paper lies in considering time variations of delays in a heterogeneous network which may be applicable in actual networks. Moreover, we obtain conditions for Internet-style networks with multi-source multi-link topology. We first prove the stability for a class of nonlinear time-delay systems. Then, we apply the results to a Kelly’s rate-based approximation of the congestion control system.
Subjective Responses to Emotional Stimuli During Labeling, Reappraisal, and Distraction

Although multiple neuroimaging studies suggest that affect labeling (i.e., putting feelings into words) can dampen affect-related responses in the amygdala, the consequences of affect labeling have not been examined in other channels of emotional responding. We conducted four studies examining the effect of affect labeling on self-reported emotional experience. In study one, self-reported distress was lower during affect labeling, compared to passive watching, of negative emotional pictures. Studies two and three added reappraisal and distraction conditions, respectively. Affect labeling showed similar effects on self-reported distress as both of these intentional emotion regulation strategies. In each of the first three studies, however, participant predictions about the effects of affect labeling suggest that unlike reappraisal and distraction, people do not believe affect labeling to be an effective emotion regulation strategy. Even after having the experience of affect labels leading to lower distress, participants still predicted that affect labeling would increase distress in the future. Thus, affect labeling is best described as an incidental emotion regulation process. Finally, study four employed positive emotional pictures and here, affect labeling was associated with diminished self-reported pleasure, relative to passive watching. This suggests that affect labeling tends to dampen affective responses in general, rather than specifically alleviating negative affect.
Robust detection of heart beats in multimodal data

This editorial reviews the background issues, the design, the key achievements, and the follow-up research generated as a result of the PhysioNet/Computing in Cardiology (CinC) Challenge 2014, published in the concurrent focus issue of Physiological Measurement. Our major focus was to accelerate the development and facilitate the comparison of robust methods for locating heart beats in long-term multi-channel recordings. A public (training) database consisting of 151 032 annotated beats was compiled from records that contained ECGs as well as pulsatile signals that directly reflect cardiac activity, and other signals that may have few or no observable markers of heart beats. A separate hidden test data set (consisting of 152 478 beats) is permanently stored at PhysioNet, and a public framework has been developed to provide researchers with the ability to continue to automatically score and compare the performance of their algorithms. A scoring criteria based on the averaging of gross sensitivity, gross positive predictivity, average sensitivity, and average positive predictivity is proposed. The top three scores (as of March 2015) on the hidden test data set were 93.64%, 91.50%, and 90.70%.
Construction et validation multicentrique d'un questionnaire prépartum de dépistage de la dépression postpartum

La depression du postpartum (DPP) peut avoir des consequences deleteres sur la mere, le developpement de l’enfant, et sur la relation mere/enfant. Afin d’eviter l’installation de cet etat depressif qui n’est souvent pas reconnu par la mere ni par son entourage proche, il est important de pouvoir le detecter le plus precocement possible, c’est-a-dire pendant la grossesse deja, par exemple grâce a un questionnaire. Cet article contient deux objectifs : presenter la construction puis la validation d’un questionnaire de depistage de la DPP. La construction a ete effectuee sur une population de 570 femmes a Geneve, examinees pendant le dernier trimestre de leur grossesse, puis a trois mois postpartum, ou la symptomatologie depressive a ete etablie en utilisant l’EPDS (Edinburgh Postnatal Depression Scale de Cox, 1987). Des regressions logistiques ont abouti a la creation d’une echelle de six questions ; celle-ci a ete completee par quatre autres questions fournies par une analyse " tree-based ". Le " questionnaire de depistage de Geneve " ainsi obtenu presente une valeur predictive positive de 45 %. La validation multicentrique s’est deroulee sur une population totale de 816 femmes a Yverdon (Suisse), Paris (France) et Bilbao (Espagne). Nous avons obtenu des resultats differents pour les trois villes. Une meilleure procedure de depistage a ete degagee, ce qui a permis d’obtenir a Paris une valeur predictive de 46 %. Les valeurs predictives de Bilbao et d’Yverdon ne sont pas bonnes, respectivement 25 % et 27 %. Un biais tres important dans l’elaboration de nos resultats est constitue par l’elimination de notre population d’etude des femmes ayant beneficie d’un traitement psychiatrique ; cela etait specialement le cas a Yverdon. Cette demarche de depistage presente en revanche de tres bonnes specificites et valeurs predictives negatives pour les trois villes (entre 87 % et 96 %), ce qui permet d’affirmer qu’une femme depistee sans risque aura peu de probabilites de presenter une symptomatologie depressive a trois mois postpartum. Le " questionnaire de depistage de Geneve " peut donc aider le personnel soignant non psychiatrique en contact avec des femmes enceintes a reperer celles qui presentent le risque de developper ulterieurement une DPP. Un dialogue peut s’instaurer sur les aspects psychologiques de la maternite, en particulier concernant le vecu depressif. Si necessaire, les femmes enceintes a risque peuvent alors etre orientees vers des soins psychiatriques avant l’apparition de symptomes depressifs averes, dans le but d’empecher ainsi l’installation d’une veritable DPP.
How can socioeconomic inequalities in hospital admissions be explained? A cohort study

Objectives To investigate which antecedent risk factors can explain the social patterning in hospital use. Design Prospective cohort study with up to 37 years of follow-up. Setting Representative community sample in the West of Scotland. Participants 7049 men and 8353 women aged 45–64 years were recruited into the study from the general population between 1972 and 1976 (78% of the eligible population). Primary and secondary outcome measures Hospital admissions and bed days by cause and by classification into emergency or non-emergency. Results All-cause hospital admission rate ratios (RRs) were not obviously socially patterned for women (RR 1.04, 95% CI 0.98 to 1.10) or men (RR 1.0, 95% CI 0.94 to 1.06) in social classes IV and V compared with social classes I and II. However, cardiovascular disease, coronary heart disease and stroke in women, and respiratory disease for men and women were socially patterned, although this attenuated markedly with the addition of baseline risk factors. Hospital bed days were generally socially patterned and the differences were largely explained by baseline risk factors. The overall RRs of mental health admissions in contrast were socially patterned for women (RR 1.77, 95% CI 1.38 to 2.27) and men (RR 1.51, 95% CI 1.11 to 2.06) in social classes IV and V compared with social classes I and II, but the pattern did not attenuate with the addition of baseline risk factors. Emergency hospital admissions were associated with lower social class, but there was an inverse relationship for non-emergency hospital admissions. Conclusions Overall admissions to hospital were only marginally socially patterned, and less than would be expected on the basis of the gradient in baseline risk. However, there was marked social patterning in admissions for mental health problems. Non-emergency hospital admissions were patterned inversely according to risk. Further work is required to explain and address this inequitable gradient in healthcare use.
Experimental Adaptation of Wild-Type Canine Distemper Virus (CDV) to the Human Entry Receptor CD150

Canine distemper virus (CDV), a close relative of measles virus (MV), is widespread and well known for its broad host range. When the goal of measles eradication may be achieved, and when measles vaccination will be stopped, CDV might eventually cross the species barrier to humans and emerge as a new human pathogen. In order to get an impression how fast such alterations may occur, we characterized required adaptive mutations to the human entry receptors CD150 (SLAM) and nectin-4 as first step to infect human target cells. Recombinant wild-type CDV-A75/17red adapted quickly to growth in human H358 epithelial cells expressing human nectin-4. Sequencing of the viral attachment proteins (hemagglutinin, H, and fusion protein, F) genes revealed that no adaptive alteration was required to utilize human nectin-4. In contrast, the virus replicated only to low titres (102 pfu/ml) in Vero cells expressing human CD150 (Vero-hSLAM). After three passages using these cells virus was adapted to human CD150 and replicated to high titres (105 pfu/ml). Sequence analyses revealed that only one amino acid exchange in the H-protein at position 540 Asp→Gly (D540G) was required for functional adaptation to human CD150. Structural modelling suggests that the adaptive mutation D540G in H reflects the sequence alteration from canine to human CD150 at position 70 and 71 from Pro to Leu (P70L) and Gly to Glu (G71E), and compensates for the gain of a negative charge in the human CD150 molecule. Using this model system our data indicate that only a minimal alteration, in this case one adaptive mutation, is required for adaptation of CDV to the human entry receptors, and help to understand the molecular basis why this adaptive mutation occurs.
Optimizing walking controllers for uncertain inputs and environments

We introduce methods for optimizing physics-based walking controllers for robustness to uncertainty. Many unknown factors, such as external forces, control torques, and user control inputs, cannot be known in advance and must be treated as uncertain. These variables are represented with probability distributions, and a return function scores the desirability of a single motion. Controller optimization entails maximizing the expected value of the return, which is computed by Monte Carlo methods. We demonstrate examples with different sources of uncertainty and task constraints. Optimizing control strategies under uncertainty increases robustness and produces natural variations in style.
Building Automation Systems Using Wireless Sensor Networks: Radio Characteristics and Energy Efficient Communication Protocols

Building automation systems (BAS) are typically used to monitor and control heating, ventila-tion, and air conditioning (HVAC) systems, manage building facilities (e.g., lighting, safety, and security), and automate meter reading. In recent years, the technology of wireless sensor network (WSN) has been at-tracting extensive research and development efforts to replace the traditional wired solutions for BAS. Key challenges of integrating WSN to a BAS include characterizing the radio features of BAS environments, and fulfilling the requirements of the extremely low energy consumption. In this survey paper, we first describe the radio characteristics of indoor environments, and then introduce the important medium access control (MAC) protocols developed for WSN which can be potentially used in BAS systems.