Miracle-dz/UniFAR-FTUs huggingface dataset:
Child sexual abuse: a review of cases presenting at the out patient clinic of a tertiary health centre in Bayelsa State, Nigeria

Child sexual abuse remains a silent crime which occurs in different settings and cuts across varying social classes. Due to the stigma associated with it, the victims rarely disclose the act thus leading to underreporting of cases, with even fewer victims eventually presenting for medical care. Thus, this study was conducted to describe the pattern of sexual abuse among children presenting to the Children’s Outpatient (CHOP) of the Niger Delta University Teaching Hospital Okolobiri, Bayelsa State, Nigeria by a retrospective analysis of case notes. Of the 12,229 children seen at the CHOP, 33 (32 females, 1 male) were reported to have been sexually abused accounting for 0.3% of the Paediatric out- patient visits. The mean age of the sexually abused children was 7.9±4.0 years. Most of the sexual acts; 14 (70.0%) occurred in a residence and 7(21.2%) children reported it to be forceful. The perpetuators were mostly males (96.7%), adolescents (35.0%) and known to the abused children (66.7%). Nine (27.3%) of the children reported to the hospital within 72 hours of the abuse. The mode of sexual abuse in the majority (87.9%) of cases was genital-genital contact. Common presenting complaints included vaginal bleeding, vaginal/perineal pain, vaginal discharge and changes in behaviour. HIV screening was requested in 29 (87.9%) of the affected children and was reported to be negative in all the 18 children who were eventually tested. None of the children were referred for counselling and majority were lost to follow-up. In this sample of sexually abused children, the victims were mainly vulnerable premenarchial females who were abused at home by trusted males. Increased public awareness, accessibility to child social services and training of health care workers on appropriate management of cases is advocated .
Cognitive and Behavioral Correlates of Achievement in a Complex Multi-Player Video Game

Over the past 30 years, a large body of research has accrued demonstrating that video games are capable of placing substantial demands on the human cognitive, emotional, physical, and social processing systems. Within the cognitive realm, playing games belonging to one particular genre, known as the action video game genre, has been consistently linked with demands on a host of cognitive abilities including perception, top-down attention, multitasking, and spatial cognition. More recently, a number of new game genres have emerged that, while different in many ways from “traditional” action games, nonetheless seem likely to load upon similar cognitive processes. One such example is the multiplayer online battle arena genre (MOBA), which involves a mix of action and real-time strategy characteristics. Here, a sample of over 500 players of the MOBA game League of Legends completed a large battery of cognitive tasks. Positive associations were observed between League of Legends performance (quantified by participants’ in-game match-making rating) and a number of cognitive abilities consistent with those observed in the existing action video game literature, including speed of processing and attentional abilities. Together, our results document a rich pattern of cognitive abilities associated with high levels of League of Legends performance and suggest similarities between MOBAs and action video games in terms of their cognitive demands.
DEVELOPMENT OF A VARIABLE-SPAN MORPHING WING

This paper describes the development and testing of a variable-span morphing wing (VSW) concept aimed at improving the performance of a small UAV which flies in the speed range 11m/s to 40m/s. An in-house aerodynamic shape optimization code, which uses a viscous two-dimensional panel method formulation coupled with a non-linear vortex lattice algorithm and a sequential quadratic programming optimization routine, is used to solve a drag minimization problem to determine the optimal values of wing span for various speeds of the vehicle’s flight envelope while subject to geometric constraints. An analysis is also developed and performed to compute the roll rate available with asymmetric span control of the VSW. A full scale prototype is built for bench testing the wing/actuator system. The wing is built in composite materials and is made of two parts. An electro-mechanical actuation mechanism is developed using an aluminium rack and pinion system driven by two servomotors. Bench tests, performed to evaluate wing under load, showed that the system is capable of performing the required extension/retraction cycles and is suitable to be installed on a previously developed UAV airframe which has been modified and instrumented to serve as the test bed for evaluating the VSW concept prototype in-flight. Pedro Gamboa, Pedro Santos, Lino Miguel
Transition Economies: A Peculiar Pattern of Growth

Authors examine the present state of art in conduct ing reforms among transition economies and briefly discuss the issue of the endogeneity of the transition process. Relying upon these findings they investigate what role the speed and/or progres s in reforms play in enhancing economic growth and output level of a transition economy. It is shown that initial, inherited conditions determine both – growth and transition progress. Tr ansition progress alone had some influence on growth in the first phase of transition but further on becomes insignificant. However, the impact of initial GDP level is evident during entire perio d f transition provoking a peculiar outcome: more developed economies perform better. Analysing growth under transition in the longer run authors examine how transition economies behave in comparison with the standard long term models of growth. It was shown that after 18 years of transition reforms the economies in question still structurally differ from market econ omies. Consequently, the long run growth models cannot explain growth in transition countrie s as they do in market economies although some modest changes can be remarked. Finally, autho rs conclude that the observed peculiarities prevent transition economies to catch up more devel oped countries.
Hope and Human Dignity: Exploring Religious Belief, Hope, and Transition out of Poverty in Oaxaca, Mexico

How do religious beliefs influence a person’s capacity to aspire, to conceptualize pathways out of poverty, and to grasp the role of personal agency in this process? We examine these dynamics within the human dignity framework, focusing on results from an experiment among indigenous microfinance borrowers in Oaxaca, Mexico. Leveraging the hope framework developed in Snyder (1994), we discuss the relationship between different types of hope, religious belief, and human dignity. We then present one-month followup results from an experimental study based on a hope intervention in Oaxaca, Mexico among 601 indigenous women with access to microfinance loans. Our intervention in this study is a biblically-based curriculum to develop different components of hope: aspirations, agency, and conceptualization of pathways out of poverty. We find that evangelical Protestant women had higher levels of aspirations, agency, and optimism at baseline, but that the intervention had a much stronger impact on Catholic women, where it significantly narrowed the differences in these variables across subjects. *University of San Francisco and Kellogg Institute of International Studies, University of Notre Dame. **Department of Political Science and Kellogg Institute for International Studies, University of Notre Dame. ***Department of Agricultural and Resource Economics, University of California at Davis. We thank seminar participants at the 2014 and 2015 Conferences on Human Dignity at the University of Notre Dame and seminar participants at Hope College, the University of California at Berkeley, and the 2016 Pacific Conference for Development Economics at Stanford University for helpful conversations and comments related to this research.
Integrated Circuits IX

In an effort to address the need for robust optical chip I/O interconnects, we describe the fabrication and testing of microscopic polymer pillars for use as a flexible optical bridge between the chip and the substrate. The polymer pillars are photoimaged using the polymer Avatrel to a height of up to 350 μm. The photodefinable polymer Avatrel was used for the fabrication of the optical pillars due to its ease of processing and its unique material properties that include high Tg and low modulus. To evaluate the performance of the polymer pillars, the optical coupling efficiency from a light source to an optical aperture with and without an optical pillar is measured. For a light source with 12o beam divergence, a 30×150 μm polymer pillar improves the coupling efficiency by 3 to 4.5 dB compared to pillar-free (free-space) optical coupling. Due to the high mechanical compliance of the optical pillars, we also demonstrate that polymer pillars enhance the optical coupling efficiency between the chip and the substrate when they are misaligned in the lateral direction and that the displacement tolerance can be doubled from 15 to 30 μm for a 1dB power loss budget.
MEANING, A PRIORICITY AND REALITY: WITTGENSTEIN’S CRITIQUE OF TRADITIONAL PHILOSOPHY

In recent years, largely due to the emergence of the so-called Therapeutic readings of the Tractatus, Wittgenstein’s critique of metaphysics has become a subject of hot debates. Arguably, three major issues divide Wittgenstein scholars. The first one is how Wittgenstein criticized traditional philosophy in the Tractatus. Did he espouse any doctrines in order to show that metaphysical utterances are nonsensical? Did he lay down necessary conditions for meaningful speaking? How are we to make sense of the penultimate remark of the Tractatus where Wittgenstein states that his own propositions are nonsensical? The next issue concerns Wittgenstein’s later criticisms of metaphysics. Notably, most interpreters of the Philosophical Investigations do not see any connection between what is arguably the central argument of the book—the famous rule-following argument—and his ‘deflationary’ conception of philosophy. So, many scholars doubt whether Wittgenstein’s rejection of metaphysics is sustained by well-developed arguments (cf. Soames 2003: 29). Those who think that he presents genuine arguments against the meaningfulness of philosophical contentions disagree on how to interpret their nature. Do they support philosophical theses? If not, then what kind of theses they support? Are they intended to support theses at all? The third issue is about the dis/continuity of Wittgenstein’s critique of traditional philosophy. Which of the Tractarian reasons for considering metaphysical questions nonsensical were maintained in Wittgenstein’s later work? Are his later criticisms of philosophical theorizing essentially different from the early ones? Did the Philosophical Investigations jettison the Tractarian strategy of attacking metaphysics? The aim of this paper is to shed some light on these issues by discussing the subject, the purpose, and the methods of Wittgenstein’s critique. On first glance, the subject is pretty clear. We are told that Wittgenstein criticized metaphysics. But what did Wittgenstein understand under ‘metaphysics’? To be sure, he did not mean a special philosophical discipline studying reality but not knowledge and ethical values. Rather, he meant the whole of traditional philosophy. So, if we are to understand his
Binning in Gaussian Kernel Regularization

Gaussian kernel regularization is widely used in the machine learning literature and proven successful in many empirical experiments. The periodic version of the Gaussian kernel regularization has been shown to be minimax rate optimal in estimating functions in any finite order Sobolev spaces. However, for a data set with n points, the computation complexity of the Gaussian kernel regularization method is of order O(n). In this paper we propose to use binning to reduce the computation of Gaussian kernel regularization in both regression and classification. For the periodic Gaussian kernel regression, we show that the binned estimator achieves the same minimax rates of the unbinned estimator, but the computation is reduced to O(m) with m as the number of bins. To achieve the minimax rate in the k-th order Sobolev space, m needs to be in the order of O(kn), which makes the binned estimator computation of order O(n) for k = 1 and even less for larger k. Our simulations show that the binned estimator (binning 120 data points into 20 bins in our simulation) provides almost the same accuracy with only 0.4% of computation time. For classification, binning with the L2-loss Gaussian kernel regularization and the Gaussian kernel Support Vector Machines is tested in a polar cloud detection problem. With basically the same computation time, the L2-loss Gaussian kernel regularization on 966 bins achieves better test classification rate (79.22%) than that (71.40%) on 966 randomly sampled data. Using the OSU-SVM Matlab package, the SVM trained on 966 bins has a comparable test classification rate as the SVM trained on 27,179 samples, but reduces the training time from 5.99 hours to 2.56 minutes. The SVM trained on 966 randomly selected samples has a similar training time as and a slightly worse test classification rate than the SVM on 966 bins, but has 67% more
Report of Ongoing and Planned Ozone Research and Monitoring Activities in the Czech Republic

Systematic monitoring of atmospheric ozone and UV solar radiation is performed in the Czech Republic (CR) by the Czech Hydrometeorological Institute (CHMI). The observations contribute to the regular and complex monitoring of the atmosphere and climate in CR and to international activities and projects, mainly to the GAW Programme. All the observations are performed and regularly audited under the rules of the ISO-9001 standards and the data are deposited in the central climate data base of CHMI.
Tailoring the electrochemical properties of 2D-hBN via physical linear defects: physicochemical, computational and electrochemical characterisation

Monolayer hexagonal-boron nitride films (2D-hBN) are typically reported within the literature to be electrochemically inactive due to their considerable band gap (ca. 5.2–5.8 eV). It is demonstrated herein that introducing physical linear defects (PLDs) upon the basal plane surface of 2D-hBN gives rise to electrochemically useful signatures. The reason for this transformation from insulator to semiconductor (inferred from physicochemical and computational characterisation) is likely due to full hydrogenation and oxygen passivation of the boron and/or nitrogen at edge sites. This results in a decrease in the band gap (from ca. 6.11 to 2.36/2.84 eV; theoretical calculated values, for the fully hydrogenated oxygen passivation at the N or B respectively). The 2D-hBN films are shown to be tailored through the introduction of PLDs, with the electrochemical behaviour dependent upon the surface coverage of edge plane-sites/defects, which is correlated with electrochemical performance towards redox probes (hexaammineruthenium(iii) chloride and Fe2+/3+) and the hydrogen evolution reaction. This manuscript de-convolutes, for the first time, the fundamental electron transfer properties of 2D-hBN, demonstrating that through implementation of PLDs, one can beneficially tailor the electrochemical properties of this nanomaterial.
Symptoms as Solutions

The Autonomic Dysregulation Theory of autism posits that a phylogenetically early autonomic defect leads to overarousal and impairments in language and social engagement. Cognitive rigidity and repetitive behaviors manifest as mitigating efforts. Focusing on the implications of this premise may provide more productive therapeutic approaches than existing methods. It suggests that self-regulation therapy using hypnosis and biofeedback should be highly effective, especially for young people. Hypnotic strategies can utilize restrictive repetitive behaviors in trance as resources for comfort and control. Biofeedback training can be tailored to focus on autonomic regulation. The authors develop this theory and describe methods of integrating hypnosis and biofeedback that have been therapeutic for people with autism. Directions for future research to validate this approach are discussed.
Plastic surgical management of a cobra bite – a case study

Cobra bites are quite rare in European countries as these snakes are not native there. Toxins are devastating for tissue resulting in massive Jörn W. Kuhbier Christine Radtke necrosis, thus plastic surgery might play a role in reconstruction of the Peter M. Vogt lost tissue. A case of a male patient bitten by a thai cobra in the left index finger is presented. Antitoxin administration was delayed due to secondary patient admission. Progressive tissue necrosis made radical 1 Department of Plastic, Aesthetic, Hand and debridement necessary, resulting in the need for plastic surgical defect coverage with a flap. While a radical debridement to prevent toxic necReconstructive Surgery, rosis due to lytic enzymes in cobra venom has been favoured beforeMedical School Hannover, Germany hand, large case studies led to a more restrained initial surgical intervention. However, antitoxin administration should be first line therapy in management of these cases. If severe necrosis is present as it might occur in delayed admission, a plastic surgicalmanagement of the patient might be advantageous.
DeepHashing using TripletLoss

Hashing is one of the most efficient techniques for approximate nearest neighbour search for large scale image retrieval. Most of the techniques are based on hand-engineered features and do not give optimal results all the time. Deep Convolutional Neural Networks have proven to generate very effective representation of images that are used for various computer vision tasks and inspired by this there have been several Deep Hashing models like Wang et al. (2016) have been proposed. These models train on the triplet loss function which can be used to train models with superior representation capabilities. Taking the latest advancements in training using the triplet loss I propose new techniques that help the Deep Hash-ing models train more faster and efficiently. Experiment result1show that using the more efficient techniques for training on the triplet loss, we have obtained a 5%percent improvement in our model compared to the original work of Wang et al.(2016). Using a larger model and more training data we can drastically improve the performance using the techniques we propose
Energy Monitoring System for Low-Cost UAVs

In the present, unmanned aerial vehicles, particularly low-cost models, lack intrinsic safety systems despite increasing interest by the civilian public for these platforms, posing a threat to other aircraft, people and property. Integrated in a larger project that addresses safety issues for this type of aircraft, this work aims to contribute to the enhancement of their safety features by proposing an energy monitoring system capable of providing updated estimates of the final state of energy of the onboard sources, enabling the operator to understand if the planned mission can be completed safely, given its energetic requirements and taking into account environmental conditions such as wind and solar radiation. The remaining energy estimate enables better energy awareness during mission planning and the online updates allow to account for unexpected disturbances and obstacle avoidance. The proposed energy monitoring system is qualitatively validated and three methods not previously considered in the literature are proposed to estimate the required energy to complete a given planned mission, and their performance is evaluated using simulation software. It is concluded that the methods discussed are very sensitive to the quality of the data and simulation tools available, and those available would be inadequate for simulating a real scenario. Nonetheless, solid foundations for future work are established.
The Next Generation of PMTO Models.

During the 38th Annual Convention in New Orleans, Past-President Gerald R. Patterson graciously accepted the Parenting and Families SIG’s Trailblazer Award, which is offered to individuals who have caused us to rethink important aspects of research and clinical work with children and families. Following a moving introduction by Dr. Marion Forgatch, Dr. Patterson shared his vision of “The Next Generation of PMTO Models,” and in so doing, conjured the essence of the award, challenging us to rethink conventional wisdom about parent training models. The address also inspired, pointing the way toward potentially more effective strategies for working with families and putting healthy parenting and our efforts to promote it into context. We regretted that mention of Dr. Patterson’s address was not able to be included in the regular convention program. So for the many more of you who might have attended but could not, Dr. Patterson’s edited address appears below. — T H E E D I T O R
Development of an Advanced Electrochemical Sensor for Corrosion and Scaling Monitoring in Geothermal Power Plants

Corrosion and scaling are the major issues in the exploitation of geothermal sources. Geothermal fluids are very complex mixtures consisting of dissolved gases and high salinity solutions, which creates very aggressive environments. This aggressiveness is primarily due to the presence of high concentrations of carbon dioxide (CO2), hydrogen sulfide (H2S), chlorides and other chemical species in lower concentrations. Besides, the high temperature of the geothermal fluids increases corrosion rates promoting failures related to stress and fatigue corrosion. On the other hand, reinjection of cooled brine exiting the heat-exchanger favors corrosion and scaling onset, since the chemicals dissolved in geothermal waters may tend to precipitate promoting calcite, sulphate and/or silicate depositions on the casing. Corrosion and scaling phenomena are difficult to detect visually or monitor continuously. Standard techniques based on pH, temperature and pressure measurements, chemistry composition and fluid physical properties are habitually applied as indirect methods for corrosion rate control. Other traditional techniques such as mass loss probes or electrical resistance measurements have been introduced more recently for corrosion data registration. These methods, however, lack of enough robustness for accurate and reliable measuring and evaluating corrosion behavior of materials employed in geothermal systems. In this scenario, a novel system is proposed for online corrosion monitoring of materials due to the corrosive attack of geothermal fluids. The corrosion rate information early obtained will allow prediction of failures in the critical units of the plant through the correlation of process events to corrosion evolution. Thus, in the Geothermal Research Control (GECO) project, funded by the EU through the H2020, a dedicated electrochemical-based test system will be designed and developed for on-line and continuous monitoring of the corrosion/scaling rate of different materials exposed to the real plant conditions at different locations. This system will use non-standard methods based on Electrochemical Impedance Spectroscopy (EIS) for onsite and on-line monitoring of corrosion and scaling degradation. With this instrument, the corrosion of the inner side of the casing and geothermal pipes will be followed in real time in three demonstration plants sited in Iceland and Germany. The analysis of the impedance spectra by equivalent circuits can determine the contribution of each stage affecting to the corrosion process providing useful information about the corrosion mechanisms and the scaling growth.