Miracle-dz/UniFAR-FTUs huggingface dataset:
Introductiion to One Economics, Many Recipes: Globalization, Institutions, and Economic Growth

In One Economics, Many Recipes , leading economist Dani Rodrik argues that neither globalizers nor antiglobalizers have got it right. While economic globalization can be a boon for countries that are trying to dig out of poverty, success usually requires following policies that are tailored to local economic and political realities rather than obeying the dictates of the international globalization establishment. A definitive statement of Rodrik's original and influential perspective on economic growth and globalization, One Economics, Many Recipes shows how successful countries craft their own unique strategies--and what other countries can learn from them. To most proglobalizers, globalization is a source of economic salvation for developing nations, and to fully benefit from it nations must follow a universal set of rules designed by organizations such as the World Bank, the International Monetary Fund, and the World Trade Organization and enforced by international investors and capital markets. But to most antiglobalizers, such global rules spell nothing but trouble, and the more poor nations shield themselves from them, the better off they are. Rodrik rejects the simplifications of both sides, showing that poor countries get rich not by copying what Washington technocrats preach or what others have done, but by overcoming their own highly specific constraints. And, far from conflicting with economic science, this is exactly what good economics teaches.
Androgen Receptor Activity Is Affected by Both Nuclear Matrix Localization and the Phosphorylation Status of the Heterogeneous Nuclear Ribonucleoprotein K in Anti-Androgen-Treated LNCaP Cells

The androgen receptor (AR) plays a central role in the development and progression of prostate cancer (PCa) and anti-androgen therapy is a standard treatment. Unfortunately, after a few years, the majority of patients progress, developing androgen-independent PCa. AR-driven gene transcription recruits a large number of co-activator/co-repressor complexes; among these, the heterogeneous nuclear ribonucleoprotein K (hnRNP K) directly interacts with and regulates the AR translational apparatus. Here we examined AR and hnRNP K expression in response to the treatment of LNCaP cells with anti-androgen cyproterone acetate (CPA) or bicalutamide (BIC). AR and hnRNP K modulation and compartmentalization were studied by Western blot and confocal microscopy. Phosphate-affinity gel electrophoresis was employed to examine how anti-androgens modified hnRNP K phosphorylation. 10−6 M CPA significantly stimulated LNCaP proliferation, whereas for 10−4 M CPA or 10−5 M BIC an antagonistic effect was observed. After anti-androgen treatment, AR expression was remarkably down-regulated within both the cytoplasm and the nucleus; however, when CPA had an agonist activity, the AR associated with the nuclear matrix (NM) increased approximately 2.5 times. This increase was synchronous with a higher PSA expression, indicating that the NM-associated AR represents the active complex. After BIC treatment, hnRNP K expression was significantly lower in the NM, the protein was hypophosphorylated and the co-localization of AR and hnRNP K decreased. In contrast, CPA as an agonist caused hnRNP K hyperphosphorylation and an increase in the co-localization of two proteins. These findings demonstrate that, in vitro, there is a strong relationship between NM-associated AR and both cell viability and PSA levels, indicating that AR transcriptional activity is critically dependent on its subnuclear localization. Moreover, the agonistic/antagonistic activity of anti-androgens is associated with modifications in hnRNP K phosphorylation, indicating an involvement of this protein in the AR transcriptional activity and likely in the onset of the androgen-independent phenotype.
Discrete-time Robust Nonlinear Feedback Control for an HDD Servo System Design

This paper presents a discrete-time robust nonlinear control method to achieve fast and accurate set-point tracking for servo systems subject to actuator saturation and disturbances. The idea here is to use a combination of composite nonlinear feedback (CNF) control and disturbance estimation cum compensation. The CNF control is responsible for superior transient performance, i.e., to guarantee a fast response with low overshoot, while the disturbance estimator/compensator is used to remove the steady state bias that would otherwise be existent due to disturbances. Practical application in a micro hard disk drive servo system will be given to demonstrate the effectiveness of this control method
90 Minutes of Moderate-Intensity Exercise does not Attenuate Postprandial Triglycerides in Older Adults

To determine whether 90 minutes of moderate-intensity exercise, prior to a high fat meal, attenuates postprandial triglycerides (PPT) in older adults. Eight sedentary older adult volunteers (mean ± SD age = 58 ± 8 years, BMI 26.5 ± 4.2); completed two trials consisting of exercise and a no-exercise control. Exercise trials involved 90 minutes of moderate-intensity exercise 60% heart rate reserve (HRR). Following exercise, an overnight fast of 12–16 hours was performed. Participants were given a high fat meal that consisted of 146 grams of CHO, and 92 grams of fat and instructed to rest. Lipid levels were collected at pre-feeding, 1, 2, 3, and 4 hours post feeding. The control trial involved no exercise, performed an overnight fast of 12–16 hours, and was given the high fat meal followed by four hours of rest and data collection. There was no difference in PPT between the control and exercise trials (p < 0.05). Triglycerides (TG) increased in both trials over pre-feeding values (pre-feeding 123.13 ± 65.03 con. 111 ± 53.9 ex., 1hr 161.50 ± 83.77 con. 149 ± 71.03 ex., 2hrs 208.25 ± 120.69 con. 177 ± 97.29 ex., 3hrs 228 ± 146.99 con. 147.25 ± 87.64 ex., 4hrs 211.75 ± 140.15 con. 169.5 ± 68.14 ex). No difference in triglycerides over time was observed among older adults between the exercise and control trials.
Application of building information modeling in designing fire evacuation-a case study

In recent years, the construction industry has been actively seeking for possible applications of Building Information Modeling (BIM), including the domain of building disaster-prevention management. BIM enables us to present a facility layout in threedimension (3D) and carry the disaster-prevention objects and information whereas the traditional approach can only be presented in two-dimension. Therefore, it could be possible to improve the traditional two-dimensional (2D) plane of building disaster-prevention management. By focusing on fire disaster, this study develops a BIM-based model to support disaster-prevention management. This model includes four modules: personnel safety evaluation, escape route planning, education and training, and equipment maintenance modules. The personnel safety evaluation module integrates BIM with a type of fire simulation software (Fire Dynamics Simulator), while the escape route planning module and safety education and training module help generate escape routes and emergency exits according to the 3D functions of BIM. The firefighting equipment maintenance module utilizes the information management ability provided by the BIM to demonstrate 3D location information and condition (maintenance records) of all fire equipment, to increase the quality of the safety education, and ensuring the all fire equipment are maintained in great condition. Above all, this proposed model is applied to a high-tech facility for testing its feasibility.
The Power of Accounting: A Field Study of Local Financial Management in a Police Force

This paper describes the introduction of management accounting change in the form of local financial management in a police force, West Mercia Constabulary, using an ethnographic study. The study applies institutional theory to understand the context, process and consequences of the introduction of devolved budgeting systems to the organization. The field study explains how the devolution of budgets in West Mercia was accompanied by a shift in power that helped to reconcile the interests of those pursuing a legitimating accountability with those who prioritized operational policing. This paper makes two contributions to institutional theory. First, is the development of understanding of relations of power, particularly where interests coincide and shifts in power are a by-product of legitimating processes. Second, is an explanation of how loose coupling can take place through accounting, in which a devolved budget can satisfy both institutional and technical demands.
Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms

Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing attention to another metric to evaluate servers: availability. A web server may serve many users when running, but if it is out of service too much time, it becomes useless and expensive. The industry has adopted several techniques to improve system availability, yet crashes still happen. In this paper, we propose a new framework to predict time-to-failure when the system is suffering transient failures that consume resources randomly. We study which machine learning algorithms build a more accurate model of the behavior of the anomaly system, and focus on Linear Regression and Decision Tree algorithms. Our preliminary results show that M5P (a Decision Tree algorithm) is the best option to model the behavior of the system under the random injection of memory leaks.
The incretin hormone glucagon‐like peptide 1 increases mitral cell excitability by decreasing conductance of a voltage‐dependent potassium channel

The gut hormone called glucagon‐like peptide 1 (GLP‐1) is a strong moderator of energy homeostasis and communication between the peripheral organs and the brain. GLP‐1 signalling occurs in the brain; using a newly developed genetic reporter line of mice, we have discovered GLP‐synthesizing cells in the olfactory bulb. GLP‐1 increases the firing frequency of neurons (mitral cells) that encode olfactory information by decreasing activity of voltage‐dependent K channels (Kv1.3). Modifying GLP‐1 levels, either therapeutically or following the ingestion of food, could alter the excitability of neurons in the olfactory bulb in a nutrition or energy state‐dependent manner to influence olfactory detection or metabolic sensing. The results of the present study uncover a new function for an olfactory bulb neuron (deep short axon cells, Cajal cells) that could be capable of modifying mitral cell activity through the release of GLP‐1. This might be of relevance for the action of GLP‐1 mimetics now widely used in the treatment of diabetes.
Writing the Word and the World: Critical Literacy as Critical Textual Production.

Critical pedagogy is fundamentally and ultimately linked with critical literacy. There can be no liberation of self or other without tools or language to perform counter-readings of dominant texts that serve the interests of power. Paulo Freire and Donaldo Macedo's work has, for some time, been a cornerstone for critical literacy, a model of teaching literacy and interacting with dominant texts in empowering ways. Critical pedagogists have necessarily focused on critical consumption of dominant texts, but this paper argues for a change in focus from consumption to production, or critical textual production. The paper notes that moving from consumption to production in critical literacy instruction necessarily requires at least a meaningful dialogue between the discourses of critical pedagogy and rhetoric and composition as writing instructors consider how they teach students to construct texts that serve as counter narratives to these dominant texts that they have gained the ability to deconstruct. It argues that the consumptive aspect of critical literacy will not be lost, rather it will be subsumed in the process of producing alternate texts such as Web sites, brochures, editorials,. research reports, essays, and fictional works. The paper urges college educators to heed the necessary call of critical composition pedagogy, to help students prepare for writing lives as engaged citizens and not just students or future professionals. Drawing from the work of Freire and Macedo, the paper proposes several core tenets of critical composition pedagogies: Historicity; Problem Posing; Dialogic; Emancipatory; and Praxis. It describes a critical research and writing seminar, one example of how critical composition might happen in the context of a university writing course. Lists 12 works cited. (NKA) Reproductions supplied by EDRS are the best that can be made from the original document. Writing the Word and the World: Critical Literacy as Critical Textual Production PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
The T‐box genes H15 and optomotor‐blind in the spiders Cupiennius salei, Tegenaria atrica and Achaearanea tepidariorum and the dorsoventral axis of arthropod appendages

SUMMARY Dorsoventral axis formation in the legs of the fly Drosophila melanogaster requires the T‐box genes optomotor‐blind (omb) and H15. Evolutionary conservation of the patterning functions of these genes is unclear, because data on H15 expression in the spider Cupiennius salei did not support a general role of H15 in ventral fate specification. However, H15 has a paralogous gene, midline (mid) in Drosophila and H15 duplicates are also present in Cupiennius and the millipede Glomeris marginata. H15 therefore seems to have been subject to gene duplication opening the possibility that the previous account on Cupiennius has overlooked one or several paralogs. We have studied omb‐ and H15‐related genes in two additional spider species, Tegenaria atrica and Achearanea tepidariorum and show that in both species one of the H15 genes belongs to a third group of spider H15 genes that has an expression pattern very similar to the H15 pattern in Drosophila. The expression patterns of all omb‐related genes are also very similar to the omb expression pattern in Drosophila. These data suggest that the dorsoventral patterning functions of omb and H15 are conserved in the arthropods and that the previous conclusions were based on an incomplete data set in Cupiennius. Our results emphasize the importance of a broad taxon sampling in comparative studies.
Using cooperative MIMO techniques and UAV relay networks to support connectivity in sparse Wireless Sensor Networks

One possible way to define the end of lifetime for a Wireless Sensor Network (WSN) is to set a threshold for the number of disconnections among the sensor nodes so that above this level the WSN becomes unable to provide the quality of services required by the users or even totally loses its ability to provide any service at all. Disconnections isolate sensors or group of sensors which cannot deliver their acquired data, thus constituting a sparse nonfunctional WSN, although some of its isolated or grouped sensors remain operational. A possible way to overcome such a problem is to provide an alternative reliable connection via other types of nodes to support the communication among isolated parts of a disconnected network. This paper proposes the use of cooperative multiple input multiple output (MIMO) techniques to support communication among static sensors in a sparse WSN and a relay network composed of Unmanned Aerial Vehicles (UAVs) keeping the WSN connected, thus extending its lifetime. Simulations of the proposed approach are performed and the acquired results highlight the benefits of this proposal.
A trajectory based framework to perform underwater SLAM using imaging sonar scans

This paper proposes a framework to perform Simultaneous Localization and Mapping (SLAM) using the scans gathered by a Mechanically Scanned Imaging Sonar (MSIS). To this end, the acoustic profiles provided by the MSIS are processed to obtain range data. Also, dead reckoning is used to compensate the robot motion during the sonar mechanical scanning and build range scans. When a new scan is constructed, its estimated position with respect to the previously gathered one is used to augment the SLAM state vector. Also, each new scan is matched against the previously detected ones by means of scan matching techniques. As the state vector contains relative positions between consecutively gathered scans, the measurement update explicitly takes into account the robot trajectory involved in each loop closure.
Effects of Plant Growth Regulators ( PGRs ) on callus induction from leaf segments explant of Tecomella undulata ( Sm . ) SeemAn Important Medicinal plant

The present study was conducted to investigate the effects of different concentrations and combinations of plant growth regulators (PGRs) on callus induction of Tecomella undulata (Sm) Seem. The leaf segments were used as explants and cultured on Murashige and Skoog (MS) medium supplemented with different concentrations of auxins such as NAA, 2,4-D, IAA and cytokikinins like BAP and KIN alone and in combinations for callus induction. The maximum callus formation (91.2%) was obtained on MS medium supplemented with in combination BAP with 2,4-D at (3.0+0.5mg/l) and (90.4%) and at (2.5+0.5mg/l) or 2,4-D alone at 3.0 mg/l were the induced calli were whitish green in colour and structurally compact. Remarkable callus biomass of 2.36± 0.06 gm fresh weight and 1.23± 0.08gm dry weight was observed in MS media containing (3.0 mg/l BAP +, 0.5 mg/l 2, 4-D). Abbreviations: MS Murashige and Skoog (1962) basal medium; BAP Benzyl amino purine; KINKinetin 2,4-D 2,4 Dichlorophenoxyacetic acid; NAA a-naphthalene acetic acid; IAA Indole acetic acid.
Expert-Guided Automatic Diagnosis of Performance Problems in Enterprise Applications

Application performance management (APM) is a necessity to detect and solve performance problems during operation of enterprise applications. While existing tools provide alerting and visualization capabilities when performance requirements are violated during operation, the isolation and diagnosis of the problem's real root cause is the responsibility of the rare performance expert, often resulting in a boring and recurring task. Main challenges for APM adoption in practice include that initial setup and maintenance of APM, and particularly the diagnosis of performance problems are error-prone, costly, and require a high manual effort and expertise. In this paper, we present preliminary work on diagnoseIT, an approach that utilizes formalized APM expert knowledge to automate the aforementioned recurring APM activities.
Density Ratio Hidden Markov Models

Hidden Markov models and their variants are the predominant sequential classification method in such domains as speech recognition, bioinformatics and natural language processing. Being generative rather than discriminative models, however, their classification performance is a drawback. In this paper we apply ideas from the field of density ratio estimation to bypass the difficult step of learning likelihood functions in HMMs. By reformulating inference and model fitting in terms of density ratios and applying a fast kernel-based estimation method, we show that it is possible to obtain a striking increase in discriminative performance while retaining the probabilistic qualities of the HMM. We demonstrate experimentally that this formulation makes more efficient use of training data than alternative approaches.
An improved algorithm for locality-sensitive hashing

We present an improved Locality-Sensitive Hashing for similarity search under high dimension search. Our scheme improves the running time based on the earlier algorithm Locality-Sensitive Hashing for hamming distance and euclidean distance. In this paper we have collected a database of The MNIST DATABASE, we proposed nearest neighbor search in the database and can get a good result in an acceptable time. The experimental results show that our data structure is up to about 10 times faster than ordinary Locality-Sensitive Hashing when working on a database of 60000 samples. At the same time, the accuracy rate and recall rate are higher than earlier algorithms.
SH3P7 Is a Cytoskeleton Adapter Protein and Is Coupled to Signal Transduction from Lymphocyte Antigen Receptors

ABSTRACT Lymphocytes respond to antigen receptor engagement with tyrosine phosphorylation of many cellular proteins, some of which have been identified and functionally characterized. Here we describe SH3P7, a novel substrate protein for Src and Syk family kinases. SH3P7 migrates in sodium dodecyl sulfate-polyacrylamide gel electrophoresis as a 55-kDa protein that is preferentially expressed in brain, thymus, and spleen. It contains multiple amino acid sequence motifs, including two consensus tyrosine phosphorylation sites of the YXXP type and one SH3 domain. A region of sequence similarity, which we named SCAD, was found in SH3P7 and three actin-binding proteins. The SCAD region may represent a new type of protein-protein interaction domain that mediates binding to actin. Consistent with this possibility, SH3P7 colocalizes with actin filaments of the cytoskeleton. Altogether, our data implicate SH3P7 as an adapter protein which links antigen receptor signaling to components of the cytoskeleton.
Synthesis and Antibacterial Activity of Quaternary Ammonium 4-Deoxypyridoxine Derivatives

A series of novel quaternary ammonium 4-deoxypyridoxine derivatives was synthesized. Two compounds demonstrated excellent activity against a panel of Gram-positive methicillin-resistant S. aureus strains with MICs in the range of 0.5–2 μg/mL, exceeding the activity of miramistin. At the same time, both compounds were inactive against the Gram-negative E. coli and P. aeruginosa strains. Cytotoxicity studies on human skin fibroblasts and embryonic kidney cells demonstrated that the active compounds possessed similar toxicity with benzalkonium chloride but were slightly more toxic than miramistin. SOS-chromotest in S. typhimurium showed the lack of DNA-damage activity of both compounds; meanwhile, one compound showed some mutagenic potential in the Ames test. The obtained results make the described chemotype a promising starting point for the development of new antibacterial therapies.
A generative model for activations in functional MRI

Detection of brain activity and selectivity using functional magnetic resonance imaging (fMRI) provides unique insight into the underlying functional properties of the brain. We propose a generative model that jointly explains neural activation and temporal activity in an fMRI experiment. We derive an algorithm for inferring activation patterns and estimating the temporal response from fMRI data, and present results on synthetic and actual fMRI data, showing that the model performs well in both settings, and provides insight into patterns of selectivity. Thesis Supervisor: Polina Golland Title: Associate Professor
Stochastic Processes for Canonical Correlation Analysis

We consider two stochastic process methods for performing canonical correlation analysis (CCA). The flrst uses a Gaussian Process formulation of regression in which we use the current projection of one data set as the target for the other and then repeat in the opposite direction. The second uses a Dirichlet process of Gaussian models where the Gaussian models are determined by Probabilistic CCA [1]. The latter method is more computationally intensive but has the advantages of non-parametric approaches.