Miracle-dz/UniFAR-FTUs huggingface dataset:
Gender Cue Effects in Children’s Pronoun Processing: A Longitudinal Eye Tracking Study

ABSTRACT Children struggle with the resolution of pronouns during reading, but little is known about the sources of their difficulties. We conducted a longitudinal eye tracking experiment with 70 children in the final years of primary school. The children read sentences with a contextual resolution preference in which gender was either an informative resolution cue for the pronoun or not. We were interested in children’s processing of the pronoun and their resolution preferences, as well as the effects of individual differences of Grade level and reading skill. Children’s resolution ability improved with age, and good readers were more accurate than poor readers. In the eye-tracking measures, we found strong individual differences related to reading skill: Children with good reading skill took more time to read the pronoun region when pronoun gender was informative, suggesting that good readers make better use of the available information at the pronoun than poor readers.
A queuing network model of a single-operator manufacturing workcell with machine/operator interference

We present an analytical approach to evaluate the performance of a manufacturing workcell tended by a single operator when operator-induced machine interference occurs. Each part must be processed at every workstation in the workcell. The fact that one or more machines can request an operator service while the operator is busy at another machine induces machine interference. If the reduction of the workcell's capacity due to this interference becomes too great, then the customer demand may not be satisfied. Our approach determines quickly whether the workcell can meet a required demand under its current configuration and operating parameters. We do this by modeling the workcell as two interacting queuing networks: an open part/machine network, and a closed machine/operator network. In the open network, parts arrive in batches of a fixed size for each part type, but with exponentially distributed interarrival times between parts. In both networks, service times follow general distributions that are characterized by their first two moments.
The Impact of Thyroid Dysfunction and TSH on the Pathogenesis of Gallstone and its Composition

Objectives: to study the impact of thyroid stimulating hormone (TSH) levels and thyroid dysfunction on the pathogenesis of gallstones and their compositions. Methodology: a study is applied including measuring of TSH levels in serum blood of (100) patients with gallstones diagnosed by sonographically or current cholecystectomy (April 2009 - April 2011) with regarded to the differences between sex of patients and predominated of gallstone type with age. The researcher used statistical analysis) Chi X2 test ( to the data. Results: the search results showed significant increase in the rate of pathogenesis in female, but TSH levels is higher in male than female (p < 0.001). And cholesterol gallstone type is predominated (p < 0.0001). Current results were stated that the thyroid dysfunction had a role in the formation of gallstones. Conclusion: there is a significant association between the gallstones and thyroid dysfunction Recommendations: the study recommends that must handling and treatment the thyroid dysfunction and hormonal dysfunction especially TSH.
[Re] Meta learning with differentiable closed-form solvers

The ability to adapt to new situations and learn quickly is a cornerstone of human intelligence. When given a previously unseen task, humans can use their previous experience and learning abilities to perform well on this new task in a matter of seconds and with a relatively small amount of new data. Artificial learning methods have been shown to be very effective for specific tasks, often times surpassing human performance1,2). However, by relying on standard supervised-learning or reinforcement learning training paradigms, these artificial methods still require much training data and training time to adapt to a new task. An area of machine learning that learns and adapts from a small amount of data is called few-shot learning3. A shot corresponds to a single example, e.g. an image and its label. In few-shot learning the learning scope is expanded from the classic setting of a single task withmany shots to a variety of tasks with a few shots each. A promising approach for few-shot learning is the field of meta-learning. Meta-learning, also known as learning-to-learn, is a paradigm that exploits cross-task information and training experience to perform well on a new unseen task.
Teste de tetrazólio em sementes de Copaifera langsdorffii e Schizolobium parahyba

Tetrazolium test in Copaifera langsdorffii and Schi zolobium parahyba seeds . This research aimed to standardize the tetrazolium test for evaluation of viability of Copaifera langsdorffii Desf. and Schizolobium parahyba Vell. Blake seeds. It evaluated the following methodologies: se eds scarificated mechanically and soaked up by 24 and 4 8 hours, with posterior seed coat removal and immersed in tetrazolium solution at 0.075; 0.10 and 0.20% for 2, 3 and 4 hours, 35 oC, the dark one. The evaluated methodologies that had been efficient in the attainment of satisfactory coloration, allowing the differentiation of tissues, and in the evaluation of the physiological quality of the see ds when compared with the germination test, had been: for the species Copaifera langsdorffii, seeds scarificated and soaked up by 24 hours, 35 oC, with posterior seed coat removal, submitted to the tetrazolium solution 0.20% for 4 hours, 35 oC, in t he dark one, and for the species guapuruvu, seeds scarificated and soaked up by 48 hours, 35 oC, with posterior seed coat removal, submitted to the tetrazolium solution 0.10% for 4 hours, 35 oC, in t he dark one.
Does a low glycemic index diet lead to greater weight loss at 6 months in overweight adults compared with no dietary restriction

8 A 3-year, multicenter, double-blind, RCT assessed the effects of wheat-bran fiber supplement on recurrence of colorectal adenomas. A total of 1,429 patients with at least 1 histologically confirmed colorectal adenoma removed within 3 months before recruitment were randomized to dietary supplementation with either a high (13.5 g/d) or low (2 g/d) amount of wheat-bran fiber. Of the 91% of patients who completed the study, no difference was noted between groups in the number of patients with at least 1 adenoma identified at the last follow-up colonoscopy (47% high-fiber group vs 51% low-fiber group; OR 0.88; 95% CI, 0.7–1.1).
Olumsuz Değerlendirilme Korkusu ve Akademik Sahtekârlık

Bu calismada; ogretmen adaylarinin olumsuz degerlendirilme korkulari ile akademik sahtekârlik egilimleri arasindaki iliskiyi incelenmektedir. Arastirmanin evrenini, 2012-2013 egitim-ogretim yili bahar doneminde Abant Izzet Baysal Universitesi Egitim Fakultesi’nde ogrenim goren ogretmen adaylari olusturmaktadir. Arastirmada rastgele orneklem alma yontemi uygulanarak 825 ogretmen adayina ulasilmistir. Arastirmaya gore ogretmen adaylarinin hem akademik sahtekârlik egilimleri (X=2,86) hem de olumsuz degerlendirilme korkulari (X=2,66) orta duzeydedir. Calismada akademik sahtekârlik egilimleri olcegi ile olumsuz degerlendirilme korkusu olcegi bazi kisisel degiskenlere gore anlamli fark gostermektedir. Ogretmen adaylarinin akademik sahtekârlik egilimleri olceginin alt boyutlariyla, olumsuz degerlendirilme korkusu olcegi arasinda dusuk duzeyde iliski soz konusudur
Modulation Of Sulfur Mustard-induced Inflammation And Gene Expression By Olvanil In The Hairless Mouse Vesicant Model

Cutaneous exposure to sulfur mustard [bis(2-chloroethyl) sulfide (SM)] produces a delayed inflammatory skin response that is followed by severe dermal injury. Assessment of anti-inflammatory therapies against SM-induced skin injury has mainly relied on qualitative histopathological evaluation. The goal of this study was to identify proinflammatory biomarkers in the hairless mouse vesicant model that could be used as additional indicators of SM-induced skin injury for evaluating anti-inflammatory treatment. SM-induced inflammation was determined at 2, 6, and 24 hr postexposure by changes in edema. Ribonuclease protection assay (RPA) was used to determine changes in gene expression of inflammatory mediators. At 2, 6, and 24 hr postexposure, a time-dependent increase in edema was observed in SM-exposed skin, which was significant at 6 and 24 hr when compared to unexposed controls. Ribonuclease protection assay analysis revealed a two-fold or greater increase in monocyte chemoattractant protein-1 (MCP-1), macrophage inflammatory protein-2 (MIP-2), MIP-1α, tumor necrosis factor-α, and interleukin (IL)-1β following exposure to SM when compared to unexposed controls. A significant time-dependent increase was observed in MCP-1, MIP-1α, and IL-1β over the 24 hr time period. At 24 hr postexposure, skin treated with the anti-inflammatory drug olvanil showed a significant decrease in SM-induced edema. Additionally, mRNA levels of MCP-1, MIP-2, and IL-1β were decreased when compared to skin exposed to SM alone. In this study, we identified molecular biomarkers at the mRNA level, up-regulated in skin exposed to SM, which can be partially suppressed by olvanil. Further characterization of the mRNA and protein expression patterns of proinflammatory biomarkers may enable the use of other classes of anti-inflammatory drugs or therapeutic treatments against SM dermal injury.
EFFECT OF ANKLE FOOT ORTHOSIS ON BACK GEOMETRY IN CHILDREN WITH SPASTIC DIPLEGIA A RANDOMIZED CONTROLLED TRIAL

ABSTRACT Objective:The purpose of this study was to investigate the effect of ankle foot orthosison back geometry in children with spastic diplegia. Design:This is a randomized controlled study; thirty-two children with spastic diplegia from both sexes, ranging in age from six to eight years represented the sample of this study. They were divided randomly into two groups of equal number; control and study groups. Control group received a designed exercise program, while study group received the same designed rehabilitation program as control group in addition to ankle foot orthosis. Evaluation of back geometry parameters: trunk imbalance, pelvic tilt, surface motion, and lateral deviation was conducted for each child of the two groups before and after three months of treatment using Formetric instrument system. Results:There was a significant improvement in all the measuring variables of the two groups when comparing their pre and post-treatment mean values (P ˂ 0.05). Comparison between groups post treatment revealed a significant decrease in trunk imbalance, pelvic tilt, surface rotation, and lateral deviation of study group compared with control group (p > 0.05). Conclusions:Ankle foot orthosisis an effective aid when added to treatment program in correcting posture in children with spastic diplegia.
Adaptive Submodular Ranking and Routing

We study a general stochastic ranking problem where an algorithm needs to adaptively select a sequence of elements so as to "cover" a random scenario (drawn from a known distribution) at minimum expected cost. The coverage of each scenario is captured by an individual submodular function, where the scenario is said to be covered when its function value goes above a given threshold. We obtain a logarithmic factor approximation algorithm for this adaptive ranking problem, which is the best possible (unless P=NP). This problem unifies and generalizes many previously studied problems with applications in search ranking and active learning. The approximation ratio of our algorithm either matches or improves the best result known in each of these special cases. Furthermore, we extend our results to an adaptive vehicle routing problem, where costs are determined by an underlying metric. This routing problem is a significant generalization of the previously-studied adaptive traveling salesman and traveling repairman problems. Our approximation ratio nearly matches the best bound known for these special cases. Finally, we present experimental results for some applications of adaptive ranking.
APPLICATION OF MULTISTART TABU SEARCH TO THE MAX-CUT PROBLEM

In this paper, we investigate two multistart tabu search implementations for the MAX-CUT problem: an algorithm based on application of a steepest ascent heuristic to specially constructed subproblems and the classical random restart method. Computational results on three sets of standard test problems indicate that the first of these techniques outperforms the second one and is very competitive when compared to other heuristic algorithms.
Stress, health and coping among international students at the University of Malta

This is the Second Monograph in Resilience and Health, Centre for Resilience and Socio-Emotional Health, University of Malta, 2014. The authors would like to express their gratitude to all the international students who participated in this study; to Prof Liberato Camilleri (University of Malta) for his help with the statistical analysis; and to Dr Valeria Cavioni (University of Pavia) for the design of the monograph’s cover and layout.
Examining the Moderating Effects of Time-Since-Adoption on the Nexus Between Business Intelligence Systems and Organisational Performance: The Ghanaian Banks Perspectives

This article investigates the post-adoption impacts of business intelligence (BI) systems on organisational performance of Ghanaian banks through the lens of the balanced scorecard. It also examines if time-since-adoption moderates the hypothesized relationship between BI systems adoption and the banks' organizational performance. A survey data of 130 Ghanaian bank officials was analysed through a partial least square structural equation modelling (PLS-SEM) approach to examine the relationship among the study constructs. The results indicated that BI Systems indeed impacted significantly on Ghanaian banks' organisational performance by improving employee learning and growth, enhancing their internal business processes and improving their customer management performances. Nonetheless, BI Systems did not have a direct significant effect on the banks financial performance. Moreover, the findings show that there is no significant difference between early-adopters and late-adopters in terms of BI Systems impacts on the banks' organisational performance. Other implications are also discussed.
Office Based Methadone Treatment: A Role for Community Pharmacists

ObjectiveAs part of a study of office based treatment of opiate dependency in primary medical care, we are exploring a role for community pharmacy dispensing of methadone. To assess their readiness to collaborate with physicians in such a program, we surveyed community pharmacists regarding knowledge, attitudes, and expectations of this role in extending access to methadone maintenance treatment. DesignA self-administered 34-item survey was completed prior to a 4-session methadone training program. ParticipantsSixteen pharmacists working in 4 New York community pharmacies were recruited to participate in an ongoing study to evaluate the safety, efficacy, and feasibility of this model. Main ResultsSeventy five percent (12/16) of the pharmacists were “comfortable” with the idea of managing the care of drug users in their community pharmacies in conjunction with physician prescribers and social workers. Sixty-three percent (10/16) were both convinced of methadone's effectiveness and support methadone maintenance treatment of all heroin users who want methadone. Almost all pharmacists (13/16) report prior experience administering methadone for pain management, and verifying narcotic prescriptions with doctors. ConclusionThe findings from this study indicate that community pharmacists are interested in this role and community pharmacy dispensing of methadone for addiction treatment could operate in conjunction with office based methadone prescribing by primary care practitioners and help to expand access to methadone treatment in the United States.
Compressing Deep Neural Networks via Knowledge Distillation

There has been a continuous evolution in deep neural network architectures since Alex Krizhevsky proposed AlexNet in 2012. Part of this has been due to increased complexity of the data and easier availability of datasets and part of it has been due to increased complexity of applications. These two factors form a self sustaining cycle and thereby have pushed the boundaries of deep learning to new domains in recent years. Many datasets have been proposed for different tasks. In computer vision, notable datasets like ImageNet, CIFAR-10, 100, MS-COCO provide large training data, with different tasks like classification, segmentation and object localization. Interdisciplinary datasets like the Visual Genome Dataset connect computer vision to tasks like natural language processing. All of these have fuelled the advent of architectures like AlexNet, VGG-Net, ResNet to achieve better predictive performance on these datasets. In object detection, networks like YOLO, SSD, Faster-RCNN have made great strides in achieving state of the art performance. However, amidst the growth of the neural networks one aspect that has been neglected is the problem of deploying them on devices which can support the computational and memory requirements of Deep Neural Networks (DNNs). Modern technology is only as good as the number of platforms it can support. Many applications like face detection, person classification and pedestrian detection require real time execution, with devices mounted on cameras. These devices are low powered and do not have the computational resources to run the data through a DNN and get instantaneous results. A natural solution to this problem is to make the DNN size smaller through compression. However, unlike file compression, DNN compression has a goal of not significantly impacting the overall accuracy of the network. In this thesis we consider the problem of model compression and present our end-to-end training algorithm for training a smaller model under the influence of a collection of "expert" models. The smaller model can be then deployed on resource constrained hardware independently from the expert models. We call this approach a form of compression since by deploying a smaller model we save the memory which would have been consumed by one or more expert models. We additionally introduce memory efficient architectures by building off from key ideas in literature that occupy very small memory and show the results of training them using our approach.
Breastfeeding in a rural area in Malaysia.

The incidence of breast feeding was calculated in relation to race age parity income occupation of mother and education of mother in a rural area in the state of Perlis in Northern Malaysia. A total of 714 eligible mothers who attend the antenatal clinics were asked whether they breast fed the duration of breast feeding and to give not more than 3 reasons for their choice. Their infants had been born between January 1970-June 1972. 92.5% of Malay mothers breast fed their child but only 58% of the Chinese mothers breast fed. Most of the Malays who breast fed did so for more than 6 months (72.8%). On the whole 84.1% of the mothers in Perlis breast feed their child. There was no significant difference in the incidence of breast feeding in the 3 age groups studied except for a slightly higher percentage in those over age 35. Of those who were bearing their 1st child in the period under study 74% of them breast fed though only 43.5% did so longer than 6 months compared to the multipara (65-68%). The poorest class almost always breast fed (90.4%) but only 70% of the mothers of the other classes breast fed. Nearly half of the mothers involved in a full-time occupation did not breast feed and those who did breast fed only during their puerperium or just after. Nearly half of the mothers who had gone to secondary schools did not breast feed or if they did they did so only during their puerperium. More than 1/3 of those who fed their babies with powdered milk maintained that they did not have sufficient milk to breast feed and nearly 1/4 claimed that their babies preferred the bottle to the breast. Reasons for breast feeding were convenience cheapness traditional advice and babys preference.
Age care managers in residential facilities – aspects of competence

Purpose – The purpose of the research project was to study aspects of the competence of age care managers, and how they develop their leadership in residential facilities.Design/methodology/approach – The participants comprised 13 age care managers (ACMs) from 13 different residential facilities. Ten of the residential facilities were located in a large municipality and three in small municipalities. On average they had 19 years of experience of caring for old people. The ages of the respondents varied from 40 to 63 years. Individual, semi‐structured interviews were chosen. The data were subjected to content analysis. Two main categories and six subcategories were generated.Findings – The ACMs had different educational backgrounds and very few had university courses in management, implying an insufficient theoretical knowledge of leadership. There are several ways of learning leadership, for example model learning, collective learning, learning by experience and through theoretical education. Model learni.
Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications

1 Genetic Programming as Machine Learning 2 Genetic Programming and Biology 3 Computer Science and Mathematical Basics 4 Genetic Programming as Evolutionary Computation 5 Basic ConceptsThe Foundation 6 CrossoverThe Center of the Storm 7 Genetic Programming and Emergent Order 8 AnalysisImproving Genetic Programming with Statistics 9 Different Varieties of Genetic Programming 10 Advanced Genetic Programming 11 ImplementationMaking Genetic Programming Work 12 Applications of Genetic Programming 13 Summary and Perspectives A Printed and Recorded Resources B Information Available on the Internet C GP Software D Events
Children's Neo-Romanticism : the archaeological imagination in British post-War children's fantasy

The focus of this study is a trend in British children’s literature concerning the ancientness of British landscape, with what I argue is a Neo-Romantic sensibility. Neo-Romanticism is marked by highly subjective viewpoints on the countryside, and I argue that it illuminates our understanding of post-war children’s literature, particularly in what is often called its Second Golden Age. Through discussion of four generally overlooked authors, each of importance to this formative publishing era, I aim to explore certain aspects of the Second Golden Age children’s literature establishment. I argue that the trend I critique is characterised by ambiguity, defined by the imaginative practice entailed in the archaeological view. This study opens with some contextual discussion of canonicity and archaeological themes in children’s literature, and outlines my methodology. In Chapter One, I argue for Children’s Neo-Romanticism as a sensibility which highlights personal engagement with place as an experience of intersubjectivity. I progress to a series of single-author chapters moving from the start of the 1960s to the end of the 1970s. Chapter Two’s focus considers how Sheena Porter’s novels associate the archaeological imagination with issues of identity and illuminate the internal debates of the children’s literature establishment. Chapter Three looks at William Mayne’s approach to the same themes in the 1960s and 70s, and the growing agency of his protagonists. Agency is a major theme of Chapter Four, which considers the literary devices and genre markers of John Gordon’s novels. In Chapter Five, I consider the shifting perception of archaeological features in popular culture in relation to Judy Allen’s eco-fantasies. In Chapter Five, I propose the legacy of Children’s Neo-