Miracle-dz/UniFAR-FTUs huggingface dataset:
The WHO Classification of Tumors of the Nervous System

The new World Health Organization (WHO) classification of nervous system tumors, published in 2000, emerged from a 1999 international consensus conference of neuropathologists. New entities include chordoid glioma of the third ventricle, cerebellar liponeurocytoma, atypical teratoid/rhabdoid tumor, and perineurioma. Several histological variants were added, including tanycytic ependymoma, large cell medulloblastoma, and rhabdoid meningioma. The WHO grading scheme was updated and, for meningiomas, extensively revised. In recognition of the emerging role of molecular diagnostic approaches to tumor classification, genetic profiles have been emphasized, as in the distinct subtypes of glioblastoma and the already clinically useful 1p and 19q markers for oligodendroglioma and 22q/INI1 for atypical teratoid/rhabdoid tumors. In accord with the new WHO Blue Book series, the actual classification is accompanied by extensive descriptions and illustrations of clinicopathological characteristics of each tumor type, including molecular genetic features, predictive factors, and separate chapters on inherited tumor syndromes. The 2000 WHO classification of nervous system tumors aims at being used and implemented by the neuro-oncology and biomedical research communities worldwide.
Negotiating Water and Technology—Competing Expectations and Confronting Knowledges in the Case of the Coca Codo Sinclair in Ecuador

Recent and on-going mega-hydraulic development in the global South implies profound socio-technical, ecological, territorial and cultural transformations at different levels and spaces of society. The transformations often involve conflicts and also new governance arrangements between different knowledge regimes, local practices and national and global frameworks of climate mitigation, water resources management and the green economy. Significantly, they also entail varying expectations concerning the meaning of water and the political promises of technology in advancing more sustainable futures. Drawing on sociological science and technology studies, particularly the sociology of expectations, this article analyses competing, parallel and confronting expectations regarding water and technology that different actors produce, negotiate and contest in the context of the recently launched 1500 MW hydropower megaproject Coca Codo Sinclair in Ecuador. It takes expectations as performative as they may shape and challenge policies, discourses, social interactions, institutions and power relations. By analysing and comparing these expectations, the article scrutinises the socio-technical imaginaries and related knowledge regimes they represent, derive from and support, and what kinds of repercussions these have in terms of water resources management in particular and sustainability governance in general.
Cancer in Africa

This publication attempts to summarize current scientific information about cancer. Except when specified, it does not represent the official policy of the American Cancer Society. Foreword Cancer is increasingly recognized as a critical public health problem in Africa. While communicable diseases continue to burden African populations, it is becoming clear that noncommunicable diseases also require the attention of those whose goal it is to ensure the health of Africans. Increases in life expectancy, changes in diet and lifestyle, and lower burden of communicable diseases promise to increase the cancer burden in Africa over the coming years. To address this growing cancer burden, the African Organization for Research and Training in Cancer (AORTIC) is committed to fostering research, education, and advocacy on a variety of levels to increase awareness of cancer in Africa. This awareness must be evidence-based and built on data that accurately and completely capture the occurrence, causes, prevention, and treatment of cancer in all African populations. It is important that the collection and application of data represent all parts of Africa. These data are critical for researchers, clinicians, nongovernmental organizations , ministries of health, and other policy makers to prioritize efforts that address Africa's cancer burden. Against this background, the information presented in this brochure represents a critical resource needed to promote cancer prevention and control in Africa. These data highlight not only the importance of cancer as a major cause of disease morbidity and mortality in Africa, but that cancers diagnosed in Africa are associated with a higher mortality compared with other regions of the world. This pattern is largely due to more limited availability of screening and early detection, as well as poorer access to treatment. It is also possible that cancers are not as well-ascertained in Africa as in other parts of the world. High-quality, population-based cancer registries are not as commonly available in Africa as elsewhere, and this report highlights the need for expansion of cancer registry programs in Africa for better understanding of the cancer burden and cancer control planning. We have reached an important junction with regard to cancer activities in Africa: with the historic 2011 United Nations High Level Meeting on Noncommunicable Diseases and the momentum building to elevate cancer on the global agenda, efforts to address cancer in Africa are more critical than ever. AORTIC is committed to partnering with the American Cancer Society and other groups to advance a …
Path sensitization of combinational circuits and its impact on clocking of sequential systems

The design of high performance ICs requires accurate critical path analysis tools, to verify and design optimal clocking schemes. A theoretical basis is presented, which allows comparison of several path analysis approaches. Finally, an optimal and correct clocking scheme is presented, which does not suffer from the problems of previously published clocking schemes.
Propagating XML View Updates to a Relational Database

This paper addresses the question of updating relational databases through XML views. Using a notion of query trees to capture the notions of selection, projection, nesting, grouping, and heterogeneous sets found throughout most XML query languages, we show how XML views expressed using query trees can be mapped to a set of corresponding relational views. We then show how updates on the XML view are mapped to updates on the corresponding relational views. Existing work on updating relational views can then be leveraged to determine whether or not the relational views are updatable with respect to the relational updates, and if so, to translate the updates to the underlying relational database.
The neural correlates of inner speech defined by voxel-based lesion–symptom mapping

The neural correlates of inner speech have been investigated previously using functional imaging. However, methodological and other limitations have so far precluded a clear description of the neural anatomy of inner speech and its relation to overt speech. Specifically, studies that examine only inner speech often fail to control for subjects’ behaviour in the scanner and therefore cannot determine the relation between inner and overt speech. Functional imaging studies comparing inner and overt speech have not produced replicable results and some have similar methodological caveats as studies looking only at inner speech. Lesion analysis can avoid the methodological pitfalls associated with using inner and overt speech in functional imaging studies, while at the same time providing important data about the neural correlates essential for the specific function. Despite its advantages, a study of the neural correlates of inner speech using lesion analysis has not been carried out before. In this study, 17 patients with chronic post-stroke aphasia performed inner speech tasks (rhyme and homophone judgements), and overt speech tasks (reading aloud). The relationship between brain structure and language ability was studied using voxel-based lesion–symptom mapping. This showed that inner speech abilities were affected by lesions to the left pars opercularis in the inferior frontal gyrus and to the white matter adjacent to the left supramarginal gyrus, over and above overt speech production and working memory. These results suggest that inner speech cannot be assumed to be simply overt speech without a motor component. It also suggests that the use of overt speech to understand inner speech and vice versa might result in misleading conclusions, both in imaging studies and clinical practice.
On the Dissociation between Microsaccade Rate and Direction after Peripheral Cues: Microsaccadic Inhibition Revisited

Microsaccades during fixation exhibit distinct time courses of frequency and direction modulations after stimulus onsets, but the mechanisms for these modulations are unresolved. On the one hand, microsaccade rate drops within <100 ms after stimulus onset, a phenomenon described as microsaccadic inhibition. On the other, the directions of the rare microsaccades that do occur during inhibition are, surprisingly, the most highly correlated with stimulus location. Here we show, using a combined computational and experimental approach, that these apparently dichotomous observations can simply result from a single mechanism: the phase resetting by stimulus onsets of ongoing microsaccadic oscillatory rhythms during fixation. Using experiments on monkeys and model simulations, we show that stimulus onsets act as countermanding stimuli, such as those in large saccadic countermanding tasks: they cancel an upcoming movement program and start a competing one, thus implementing phase resetting. We also show that the rare microsaccades occurring during microsaccadic inhibition are simply noncanceled movements in the countermanding framework and that they reflect the instantaneous state of visual representations expected in spatial maps representing stimuli. Remarkably, a dynamic interaction between the efficacy of the countermanding process and the metrics of the microsaccade being countermanded not only explains microsaccade rate changes, but it also predicts the time course patterns of microsaccade directions and amplitudes. Our parsimonious framework for understanding microsaccadic modulations around stimulus onsets allows analyzing microsaccades (and larger saccades) using the extensive toolkit of oscillatory dynamical systems often used for modeling spiking neurons, and it constrains neural models of microsaccade triggering.
An Empirical Analysis of Regulation Policy Effects on Social Casino Using Vector Autoregression

The objective of this study is to examine the effects of regulation policy on online gambling, an increasingly popular type of entertainment in the online game industry. Prior information systems (IS) studies on online game focus primarily on user behavior. However, there is a growing need to investigate the effects of regulation policy on dynamic changes of games or service providers instead of ad hoc heuristic approaches on individual behavior. Going beyond the approaches of previous studies, this study empirically test the regulation policy effect with three theoretical perspectives: social influence, prior experience and perceived switching cost. A vector autoregression (VAR) methodology is used to forecast game usage and to model several patterns of the co-movement of online games. Evidence is also provided of strong Granger-causal interdependencies within games and service providers. This study provides one of the first empirical evidences that examine the effects of regulation policies on online game. In research methodology aspect, this study also introduce an exposition of VAR methodology in IS research. Therefore, it provides advanced knowledge on gambling behavior and helps develop suitable regulation policy to protect users of online gambling as well as to satisfy policy makers.
A GPU-based breast cancer detection system using Single Pass Fuzzy C-Means clustering algorithm

Breast cancer is the most lethal type of cancer affecting women in the world. To improve the life quality of women, an early detection of this malignancy is always promising because this cancer is one of the cancers that can be managed and treated easily if it is detected earlier. Mammography is the standard screening method to diagnose breast cancer. At these days, there are a lot of researches that have been done to improve this screening method by benefiting from the enormous growth of technology. Graphics Processing Unit (GPU) is a parallel processor that can divide the complex computations tasks into subtasks and run them concurrently. Many medical imaging modalities offloaded their processing to this processor to help in improving the speed of healthcare systems in order to diagnose the illnesses in real time. This research introduces an acceleration method for the segmentation of the mammography images based on the GPU. In order to provide a better detection for the cancerous tumor, we use a modified version of the most common algorithm for image segmentation, which is the Single Pass Fuzzy C-Means (FCM) algorithm. The approach will be applied to a set of mammogram images to distinguish between malignant and benign cases. Additionally, the system is implemented on GPU parallel processor as well as the traditional CPU in order to compare the performance of both implementations. The performance results are compared according to the execution time and the speedup metrics. The proposed implementation on GPU provides a fine speedup compared to its serial implementation on CPU.
The Power of Human Rights: International human rights norms and domestic change: conclusions

Introduction In adopting the Universal Declaration of Human Rights on December 10,1948, the delegates to the United Nations General Assembly established a common set of principles against which the human rights practices of individual member states could be measured. Although these principles were not initially binding on UN member states, they included the seeds of an international legal system in the realm of human rights. In the meantime and following the Universal Declaration, a global human rights regime has emerged consisting of numerous international conventions, specific international organizations to monitor compliance, and regional human rights arrangements (see Alston 1992; Donnelly 1986; Forsythe 1991). Moreover, the global human rights regime has led to the emergence of a huge network of transnationally operating advocacy coalitions and international nongovernmental organizations (INGOs; see Brysk forthcoming; Keck and Sikkink 1998; Smith, Chatfield, and Pagnucco 1997; Smith, Pagnucco, and Lopez 1998). As a result, some have argued that human rights have increasingly become part of the shared knowledge and collective understandings informing a “world polity” (Boli and Thomas 1997, 1998). International human rights, thus, have become constitutive elements of modern and “civilized” statehood. But it is one thing to argue that there is a global human rights polity composed of international regimes, organizations, and supportive advocacy coalitions. It is quite another to claim that these global norms have made a real difference in the daily practices of national governments toward their citizens. On the fiftieth anniversary of the Universal Declaration, we thought it appropriate to evaluate the processes by which human rights principles and norms found their way from the international into the domestic political arena.
The Role of Schema Matching in Large Enterprises

To date, the principal use case for schema matching research has been as a precursor for code generation, i.e., constructing mappings between schema elements with the end goal of data transfer. In this paper, we argue that schema matching plays valuable roles independent of mapping construction, especially as schemata grow to industrial scales. Specifically, in large enterprises human decision makers and planners are often the immediate consumer of information derived from schema matchers, instead of schema mapping tools. We list a set of real application areas illustrating this role for schema matching, and then present our experiences tackling a customer problem in one of these areas. We describe the matcher used, where the tool was effective, where it fell short, and our lessons learned about how well current schema matching technology is suited for use in large enterprises. Finally, we suggest a new agenda for schema matching research based on these experiences.
Bayesian Learning via Stochastic Dynamics

The attempt to find a single "optimal" weight vector in conventional network training can lead to overfitting and poor generalization. Bayesian methods avoid this, without the need for a validation set, by averaging the outputs of many networks with weights sampled from the posterior distribution given the training data. This sample can be obtained by simulating a stochastic dynamical system that has the posterior as its stationary distribution.
Costs and Consequences of Placing Children in Care

Preface. Authors' note. 1. Introduction. 2. Identifying Local Authorities and Children for Exploring the Costs of Care. 3. The Development of Unit Costs for Social Care Processes. 4. Placement Patterns, Processes and Costs. 5. Children and Costs. 6. Need, Cost, Service and Outcome. 7. The Relationship Between Cost and Value: Children's Views of the Value of Services. 8. The Cost Calculator for Children's Services. 9. Conclusion: Cost Calculations and their Implications for Policy and Practice. References. Index.
Detection and mapping of polar stratospheric clouds using limb scattering observations

Abstract. Satellite-based measurements of Visible/NIR limb-scattered solar radiation are well suited for the detection and mapping of polar stratospheric clouds (PSCs). This publication describes a method to detect PCSs from limb scattering observations with the Scanning Imaging Absorption spectroMeter for Atmospheric CartograpHY (SCIAMACHY) on the European Space Agency's Envisat spacecraft. The method is based on a color-index approach and requires a priori knowledge of the stratospheric background aerosol loading in order to avoid false PSC identifications by stratospheric background aerosol. The method is applied to a sample data set including the 2003 PSC season in the Southern Hemisphere. The PSCs are correlated with coincident UKMO model temperature data, and with very few exceptions, the detected PSCs occur at temperatures below 195–198 K. Monthly averaged PSC descent rates are about 1.5 km/month for the −50° S to −75° S latitude range and assume a maximum between August and September with a value of about 2.5 km/month. The main cause of the PSC descent is the slow descent of the lower stratospheric temperature minimum.
An Experimental Study on Ubiquitous commerce Adoption: Impact of Personalization and Privacy Concerns

U-commerce represents “anytime, anywhere” commerce. U-commerce can provide a high level of personalization, which can bring significant benefits to customers. However, customers’ privacy is a major concern and obstacle to the adoption of u-commerce. As customers’ intention to adopt u-commerce is based on the aggregate effect of perceived benefits and risk exposure (e.g., privacy concerns), this research examines how personalization and context can impact on customers’ perceived benefits and privacy concerns, and how this aggregated effect in turn affects u-commerce adoption intention.
Characterization of the Hemocytes in Larvae of Protaetia brevitarsis seulensis: Involvement of Granulocyte-Mediated Phagocytosis

Hemocytes are key players in the immune response against pathogens in insects. However, the hemocyte types and their functions in the white-spotted flower chafers, Protaetia brevitarsis seulensis (Kolbe), are not known. In this study, we used various microscopes, molecular probes, and flow cytometric analyses to characterize the hemocytes in P. brevitarsis seulensis. The circulating hemocytes were classified based on their size, morphology, and dye-staining properties into six types, including granulocytes, plasmatocytes, oenocytoids, spherulocytes, prohemocytes, and adipohemocytes. The percentages of circulating hemocyte types were as follows: 13% granulocytes, 20% plasmatocytes, 1% oenocytoids, 5% spherulocytes, 17% prohemocytes, and 44% adipohemocytes. Next, we identified the professional phagocytes, granulocytes, which mediate encapsulation and phagocytosis of pathogens. The granulocytes were immunologically or morphologically activated and phagocytosed potentially hazardous substances in vivo. In addition, we showed that the phagocytosis by granulocytes is associated with autophagy, and that the activation of autophagy could be an efficient way to eliminate pathogens in this system. We also observed a high accumulation of autophagic vacuoles in activated granulocytes, which altered their shape and led to autophagic cell death. Finally, the granulocytes underwent mitotic division thus maintaining their number in vivo.
Roles and Regulation of Ketogenesis in Cultured Astroglia and Neurons Under Hypoxia and Hypoglycemia

Exogenous ketone bodies (KBs), acetoacetate (AA), and β-hydroxybutyrate (BHB) act as alternative energy substrates in neural cells under starvation. The present study examined the endogenous ketogenic capacity of astroglia under hypoxia with/without glucose and the possible roles of KBs in neuronal energy metabolism. Cultured neurons and astroglia were prepared from Sprague-Dawley rats. Palmitic acid (PAL) and l-carnitine (LC) were added to the assay medium. The 4- to 24-hr production of AA and BHB was measured using the cyclic thio-NADH method. 14C-labeled acid-soluble products (KBs) and 14CO2 produced from [1-14C]PAL were also measured. l-[U-14C]lactic acid ([14C]LAC), [1-14C]pyruvic acid ([14C]PYR), or β-[1-14C]hydroxybutyric acid ([14C]BHB) was used to compare the oxidative metabolism of the glycolysis end products with that of the KBs. Some cells were placed in a hypoxic chamber (1% O2). PAL and LC induced a higher production of KBs in astroglia than in neurons, while the CO2 production from PAL was less than 5% of the KB production in both astroglia and neurons. KB production in astroglia was augmented by the AMP-activated protein kinase activators, AICAR and metformin, as well as hypoxia with/without glucose. Neuronal KB production increased under hypoxia in the absence of PAL and LC. In neurons, [14C]LAC and [14C]PYR oxidation decreased after 24 hr of hypoxia, while [14C]BHB oxidation was preserved. Astroglia responds to ischemia in vitro by enhancing KB production, and astroglia-produced KBs derived from fatty acid might serve as a neuronal energy substrate for the tricarboxylic acid cycle instead of lactate, as pyruvate dehydrogenase is susceptible to ischemia.