Miracle-dz/UniFAR-FTUs huggingface dataset:
Consensus On Recording Deep Endometriosis Surgery ( CORDES ) . Part II : standardized reporting of surgical trials †

A. Vanhie1, C. Meuleman1, C. Tomassetti1, D. Timmerman1, A. D’Hoore2, A. Wolthuis2, B. Van Cleynenbreugel3, E. Dancet1, U. Van den Broeck1, J. Tsaltas4, S.P. Renner5, A.D. Ebert6, F. Carmona7, J. Abbott8, A. Stepniewska9, H. Taylor10, E. Saridogan11, M. Mueller12, J. Keckstein13, N. Pluchino14, G. Janik15,16, E. Zupi17, L. Minelli9, M. Cooper18, G. Dunselman19,20, C. Koh21, M. Abrao22,23, C. Chapron24,25, and T. D’Hooghe1,26,27,* Department of Obstetrics and Gynecology, University Hospital Leuven, Leuven, Belgium Department of Abdominal Surgery, University Hospital Leuven, Leuven, Belgium Department of Urology, University Hospital Leuven, Leuven, Belgium Monash Health and Monash University, Melbourne, VIC, Australia Frauenklinik, Universitaetsklinikum Erlangen, Erlangen, Germany Praxis für Frauengesundheit, Gynäkologie und Geburtshilfe, Berlin, Germany Service of Gynecology, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain Royal Hospital for Women and University of New South Wales, Sydney, Australia Department of Obstetrics and Gynecology, Ospedale Sacro Cuore, Verona, Italy Yale School of Medicine, New Haven, CT, USA University College London Hospitals, London, UK Universitätsklinik für Frauenheilkunde, Universitätsspital Bern, Bern, Switzerland Landeskrankenanstalten-Betriebsgesellschaft (KABEG) and Landeskrankenhaus Villach, Abteilung für Gynäkologie und Geburtshilfe, Villach, Austria Department of Obstetrics and Gynecology, University Hospital of Geneva, Geneva, Switzerland Reproductive Specialty Center, Columbia St. Mary’s Hospital, Milwaukee, WI, USA Medical College of Wisconsin, Milwaukee, WI, USA University of Siena, Siena, Italy Department of Obstetrics and Gynaecology, Sydney University, Sydney, Australia Department of Obstetrics & Gynaecology, Research Institute GROW, Maastricht, The Netherlands University Medical Centre, PO Box 5800, 6202 AZ Maastricht, The Netherlands Milwaukee Institute of Minimally Invasive Surgery, Milwaukee, WI, USA Division of Reproductive Medicine, Sirio Libanes Hospital, Sao Paulo, Brazil Division of Endometriosis, Department of Obstetrics and Gynaecology, São Paulo University, São Paulo, Brazil Faculty of Medicine, Université Paris Descartes, Sorbonne Paris Cité, Paris, France Department of Gynecology, Obstetrics, and Reproductive Medicine, Centre Hospitalier Universitaire Cochin of the Groupe Hospitalier Universitaire Ouest, Paris, France Faculty of Medicine, Leuven University, Leuven, Belgium Faculty of Medicine, Yale University, New Haven, CT, USA
The Monadic Second-order Logic Evaluation Problem on Finite Colored Trees: a Database-theoretic Approach

We model the monadic second-order logic (MSO) evaluation problem on finite colored trees in a purely database theoretic framework, based on the well-knownMSO-automata connection: we reduce the problem to an acyclic conjunctive query evaluation problem on the one hand and to a monadic datalog evaluation problem on the other hand. This approach offers the possibility to solve the MSO problem using optimized evaluation methods for relational algebra expressions and for datalog programs (such as Yannakakis algorithm [27] and the rewriting method using resolutionbased filtering referred to as "magic sets" method in [3]): we use these methods for evaluating our queries and giving estimates of their complexity. This is the first time, to our knowledge, that a solution to the MSO evaluation problem related to relational algebra is given; furthermore, thanks to this reduction, we prove that the automata-based algorithm given in [8] constitutes a particular "instance" of Yannakakis algorithm. Besides the optimized database methods that we propose for solving the MSO evaluation problem, our results prove that MSO-definable queries over colored trees are datalog-definable; this result subsumes the corresponding result in [12] which states that unary MSO queries are monadic datalog-definable and it also subsumes the well-known result that any MSO-definable class of trees is monadic datalog-definable.
Microstructure Based Indicia

Value indicia are marks printed on paper that prove that a particular service has been paid for, one prevalent example being the postal meter mark. This paper explores systems for producing and verifying value indicia that prevent the indicium from being fraudulently copied, by binding the indicium to unique and typically random characteristics of the physical substrate on which it is printed. Thus a copy of a valid indicium will not itself be valid, because of the mismatch between the substrate microstructure on the original and the copy. In addition to the direct benefits associated with reducing fraud due to copying of valid indicia, such a system has a number of collateral security and other benefits that will be explained. Note: U.S. and international patents are pending on the technology described in this
CNS Control of Glucose Metabolism: Response to Environmental Challenges

Over the last 15 years, considerable work has accumulated to support the role of the CNS in regulating postprandial glucose levels. As discussed in the first section of this review, the CNS receives and integrates information from afferent neurons, circulating hormones, and postprandially generated nutrients to subsequently direct changes in glucose output by the liver and glucose uptake by peripheral tissues. The second major component of this review focuses on the effects of external pressures, including high fat diet and changes to the light:dark cycle on CNS-regulating glucose homeostasis. We also discuss the interaction between these different pressures and how they contribute to the multifaceted mechanisms that we hypothesize contribute to the dysregulation of glucose in type 2 diabetes mellitus (T2DM). We argue that while current peripheral therapies serve to delay the progression of T2DM, generating combined obesity and T2DM therapies targeted at the CNS, the primary site of dysfunction for both diseases, would lead to a more profound impact on the progression of both diseases.
HOF: Hybrid Opportunistic Forwarding for Multi-Hop Wireless Mesh Networks

This paper describes HOF, a hybrid opportunistic forwarding protocol for multi-hop wireless mesh networks. It combines the concept of traditional "best" path routing, with the concept of opportunistic routing, which explores and determines the next hop relay node at each hops. Some common problems of existing opportunistic routing protocols are studied in this paper. HOF can largely solve such problems by using the most preferred node (MPN) and weighted-Sift techniques, proposed in this paper. The HOF scheme is efficient, robust against channel or node failures and incurs little network overhead. The performance of HOF is compared with OSPF and GeRaF. Results show that, HOF performs almost as well as OSPF and better than GeRaF under a perfect environment. When more node and channel failures happen, it outperforms both of them.
A Study of Dog Bites and their Prevention

Previous studies have suggested that children are more at risk of suffering from serious dog bite injuries than adults. In order to generate an overview of characteristics of dog bite victims in Europe, different organisations collecting data on injuries at a national level were contacted in a number of European countries. The incidence of child victims was found to be higher than that of adults. A study was undertaken, at European level, to investigate whether the reason why children are more at risk is due to their poor ability to interpret the behaviour of dogs and therefore to appropriately interact with them. Children aged 4 10 years old (n=430) and university students (mean age= 21.3 years, n=120) in Milan, Barcelona, and Edinburgh, were shown videos of dogs performing simple behaviours (friendliness, fear, aggression) and asked to interpret the state of dogs (happy, sad, scared, angry). The participants were also asked to describe which features of the dogs they were attending to in order to interpret the state of the dog. The ability to correctly interpret the state of dogs was found to increase with age. Moreover, older children and adults reported looking at the dog features necessary to make a correct judgement on the dog state more than younger children. There were no differences in the performances of the participants in the different countries. Two short questionnaires were created, one to evaluate children’s attitudes to dogs and another one for adults. These were distributed to the participants of the experiment described above. Pet owners had more positive attitudes to dogs independently of age and country. Surprisingly, victims of dog bites had a more positive attitude to dogs. Overall, and independently of the country, the participants had positive attitudes to dogs, suggesting that banning dogs may not be an appropriate solution to the problem of dog bites. A short educational intervention was created to teach young children how to interpret the state of dogs. The aim was to train children before they are most at risk of suffering dog bites in order to prevent accidents. The intervention was therefore aimed at educating 4 year old children because they were found to have the lowest ability to correctly interpret dog states and previous studies had suggested that children are most at risk of suffering from dog bites between the ages of 7 and 9 years old. The intervention was successful in increasing the children’s ability to interpret the state of dogs and to attend to the appropriate dog features in order to evaluate the state of the dog. These results suggest that prevention programmes aimed at preschool children may be an effective way to reduce dog bite accidents. Moreover, the same programme could be used in several European countries since children and adults in Italy, Scotland and Spain appear to have very similar attitudes to dogs.
Rotor design optimization of permanent magnet — Assisted synchronous reluctance motor with ferrite magnets

Design of PM-assisted synchronous reluctance motor (PMaSynRM) is usually used to enhance the performance of synchronous reluctance motor (SynRM). Permanent magnets are added into rotor flux barriers based on optimized synchronous reluctance motor rotor geometry. However, the level of saturation for the rotor magnetic path is different between a PMaSynRM and a SynRM due to these added magnets, thus PMaSynRM rotor geometry need to be re-optimized. In this paper, geometry optimization parameters of PMaSynRM with ferrite magnets are investigated to maximize average torque ampere ratio and minimize torque ripple using Finite-Element Analysis (FEA). Finally, a prototype is built and tested to verify the investigation and comparison to simulation results are also given.
Probing the Extent of Randomness in Protein Interaction Networks

Protein–protein interaction (PPI) networks are commonly explored for the identification of distinctive biological traits, such as pathways, modules, and functional motifs. In this respect, understanding the underlying network structure is vital to assess the significance of any discovered features. We recently demonstrated that PPI networks show degree-weighted behavior, whereby the probability of interaction between two proteins is generally proportional to the product of their numbers of interacting partners or degrees. It was surmised that degree-weighted behavior is a characteristic of randomness. We expand upon these findings by developing a random, degree-weighted, network model and show that eight PPI networks determined from single high-throughput (HT) experiments have global and local properties that are consistent with this model. The apparent random connectivity in HT PPI networks is counter-intuitive with respect to their observed degree distributions; however, we resolve this discrepancy by introducing a non-network-based model for the evolution of protein degrees or “binding affinities. ” This mechanism is based on duplication and random mutation, for which the degree distribution converges to a steady state that is identical to one obtained by averaging over the eight HT PPI networks. The results imply that the degrees and connectivities incorporated in HT PPI networks are characteristic of unbiased interactions between proteins that have varying individual binding affinities. These findings corroborate the observation that curated and high-confidence PPI networks are distinct from HT PPI networks and not consistent with a random connectivity. These results provide an avenue to discern indiscriminate organizations in biological networks and suggest caution in the analysis of curated and high-confidence networks.
A Lipase Isolated from the Silkworm Bombyx mori Shows Antiviral Activity against Nucleopolyhedrovirus

ABSTRACT A protein showing strong antiviral activity against Bombyx mori nucleopolyhedrovirus (BmNPV) was purified from the digestive juice of B. mori larvae. A homology search of the deduced amino acid sequence of the protein cDNA revealed 56% homology with Drosophila melanogaster lipase and 21% homology with human lipase. As lipase activity of the protein was confirmed in vitro, this protein was designated Bmlipase-1. Northern blot analysis showed that the Bmlipase-1 gene is expressed in the midgut but not in other tissues, nor is it activated by BmNPV infection. In addition, the Bmlipase-1 gene was shown not to be expressed in the molting and wandering stages, indicating that the gene is hormonally regulated. Our results suggest that an insect digestive enzyme has potential as a physiological barrier against BmNPV at the initial site of viral infection.
Bayesian Optimization for Machine Learning : A Practical Guidebook

The engineering of machine learning systems is still a nascent field; relying on a seemingly daunting collection of quickly evolving tools and best practices. It is our hope that this guidebook will serve as a useful resource for machine learning practitioners looking to take advantage of Bayesian optimization techniques. We outline four example machine learning problems that can be solved using open source machine learning libraries, and highlight the benefits of using Bayesian optimization in the context of these common machine learning applications.
An Internet-Based Simulation System for Training and Development of Regional-Healthcare-Centers Managers

RHCMS (Regional Healthcare Center Management System) is an Internet-based simulation training system for Regional Healthcare-Centers (RHCs) managers. The system is based on an integrative model, designed and developed by an interdisciplinary team of experts, for the purpose of training and developing RHCs' managers. This model involves the study of the following fields: healthcare management, business administration, organizational behavior, health economics, management science, and information technologies. The simulation system enables the operation of a management decision-making game. In the game, teams of trainees, playing management teams of RHCs, within one specific community, compete among themselves. The simulation focuses on managerial performance, based on periodic team-decisions, within the internal and external environmental context. The simulation game has a major potential contribution in enabling management trainees to transfer theoretical knowledge into managerial practical tools, capabilities and skills.
Optical Fiber Sensing Based on Reflection Laser Spectroscopy

An overview on high-resolution and fast interrogation of optical-fiber sensors relying on laser reflection spectroscopy is given. Fiber Bragg-gratings (FBGs) and FBG resonators built in fibers of different types are used for strain, temperature and acceleration measurements using heterodyne-detection and optical frequency-locking techniques. Silica fiber-ring cavities are used for chemical sensing based on evanescent-wave spectroscopy. Various arrangements for signal recovery and noise reduction, as an extension of most typical spectroscopic techniques, are illustrated and results on detection performances are presented.
Cyber-Dilemmas: Gendered Hierarchies, New Technologies and Cyber-Safety in Schools

This paper addresses gender issues relating to cyber-bullying among adolescents which is reflective of adult Internet use. It highlights legal considerations to address the policy vacuum on this emerging form of gendered violence. Resume Cet article se penche sur les questions reliees a la cyberintimidation chez les adolescents qui reflete l'usage de l'internet chez les adultes. Ceci met en relief les considerations legales pour adresser le vide des politiques sur cette forme de violence qui surgit basee sur le sexe.
Five Styles of Positive Stepmothering from the Perspective of Young Adult Stepdaughters

Abstract A growing body of research indicates that children of divorce, and children in stepfamilies are at somewhat greater risk for academic, behavioral and emotional problems than children in nuclear families. Girls in stepfamilies, particularly those with stepmothers, are said to have distinct adjustment problems that girls in nuclear families do not experience. Using the strengths perspective, the purpose of the current study was to find out what elements contribute to a mother/daughter and stepmother/stepdaughter relationship from the viewpoint of the stepdaughters in a stabilized divorced/remarried family. Nineteen white, middle-class educated women were interviewed in depth. The mean age of the participants was 23.4 years. All mothers played similar roles in their daughters' lives, but the stepMothers' roles varied. Five styles of positive step-mothering roles are suggested. Implications for further study are discussed.
Detecting Copy-Move Forgery Using Non-negative Matrix Factorization

Copy-move is a common manipulation of digital image tampering. Block matching after feature extraction is mostly applied method to detect this kind of forgery. In this paper, we propose an efficient copy-move detecting scheme with the capacity of some post-processing resistances. The image is divided into fixed-size overlapped blocks, and then non-negative matrix factorization (NMF) coefficients are extracted from list of all blocks. It is worth noting that all the coefficients are quantized before matching, in other words, we could use relatively few data to interpret a sub-image. Besides, we apply lexicographical sorting method to reduce the probability of invalid matching. Lastly we measure the hamming distance of each block pair in the matching procedure, if the distance is shorter than a threshold, we localize them as the tampering areas. Experimental results show the efficacy of our scheme.
Using induced pluripotent stem cells (iPSC) to model human neuromuscular connectivity: promise or reality?

Motor neuron diseases (MND) such as amyotrophic lateral sclerosis and spinal muscular atrophy are devastating, progressive and ultimately fatal diseases for which there are no effective treatments. Recent evidence from systematic studies of animal models and human patients suggests that the neuromuscular junction (NMJ) is an important early target in MND, demonstrating functional and structural abnormalities in advance of pathological changes occurring in the motor neuron cell body. The ability to study pathological changes occurring at the NMJ in humans is therefore likely to be important for furthering our understanding of disease pathogenesis, and also for designing and testing new therapeutics. However, there are many practical and technical reasons why it is not possible to visualise or record from NMJs in pre‐ and early‐symptomatic MND patients in vivo. Other approaches are therefore required. The development of stem cell technologies has opened up the possibility of creating human NMJs in vitro, using pluripotent cells generated from healthy individuals and patients with MND. This review covers historical attempts to develop mature and functional NMJs in vitro, using co‐cultures of muscle and nerve from animals, and discusses how recent developments in the generation and specification of human induced pluripotent stem cells provides an opportunity to build on these previous successes to recapitulate human neuromuscular connectivity in vitro.
Molecular Characterization of the Interaction between Porins of Neisseria gonorrhoeae and C4b-Binding Protein1

Neisseria gonorrhoeae, the causative agent of gonorrhea, is a natural infection only in humans. The resistance of N. gonorrhoeae to normal human serum killing correlates with porin (Por)-mediated binding to the complement inhibitor, C4b-binding protein (C4BP). The entire binding site for both porin molecules resides within complement control protein domain 1 (CCP1) of C4BP. Only human and chimpanzee C4BPs bind to Por1B-bearing gonococci, whereas only human C4BP binds to Por1A strains. We have now used these species-specific differences in C4BP binding to gonococci to map the porin binding sites on CCP1 of C4BP. A comparison between human and chimpanzee or rhesus C4BP CCP1 revealed differences at 4 and 12 amino acid positions, respectively. These amino acids were targeted in the construction of 13 recombinant human mutant C4BPs. Overall, amino acids T43, T45, and K24 individually and A12, M14, R22, and L34 together were important for binding to Por1A strains. Altering D15 (found in man) to N15 (found in rhesus) introduced a glycosylation site that blocked binding to Por1A gonococci. C4BP binding to Por1B strains required K24 and was partially shielded by additional glycosylation in the D15N mutant. Only those recombinant mutant C4BPs that bound to bacteria rescued them from 100% killing by rhesus serum, thereby providing a functional correlate for the binding studies and highlighting C4BP function in gonococcal serum resistance.
Partial Inactivation of Cardiac 14-3-3 Protein in vivo Elicits Endoplasmic Reticulum Stress (ERS) and Activates ERS-initiated Apoptosis in ERS-induced Mice

Background/Aims: Excessive endoplasmic reticulum stress (ERS) triggers apoptosis in various conditions including diabetic cardiomyopathy and pressure overload-induced cardiac hypertrophy and heart failure. The primary function of 14-3-3 protein is to inhibit apoptosis, but the roles of this protein in protecting against cardiac ERS and apoptosis are largely unknown. Methods: We investigated the roles of 14-3-3 protein in vivo during cardiac ERS and apoptosis induced by pressure overload or thapsigargin injection using transgenic (TG) mice that showed cardiac-specific expression of dominant negative (DN) 14-3-3η. Results: Cardiac positive apoptotic cells and the expression of glucose-regulated protein (GRP)78, inositol-requiring enzyme (Ire)1α, tumor necrosis factor receptor (TNFR)-associated factor (TRAF)2, CCAAT/enhancer binding protein homology protein (CHOP), caspase-12, and cleaved caspase-12 protein were significantly increased in the pressure-overload induced DN 14-3-3η mice compared with that in the WT mice. Furthermore, thapsigargin injection significantly increased the expression of GRP78 and TRAF2 expression in DN 14-3-3η mice compared with that in the WT mice. Conclusion: The enhancement of 14-3-3 protein may provide a novel protective therapy against cardiac ERS and ERS-initiated apoptosis, at least in part, through the regulation of CHOP and caspase-12 via the Ire1α/TRAF2 pathway.