Miracle-dz/UniFAR-FTUs huggingface dataset:
Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study

This study aimed to investigate the metabolic brain network and its relationship with depression symptoms using 18F-fluorodeoxyglucose positron emission tomography data in 78 pre-chemotherapy cancer patients with depression and 80 matched healthy subjects. Functional and structural imbalance or disruption of brain networks frequently occur following chemotherapy in cancer patients. However, few studies have focused on the topological organization of the metabolic brain network in cancer with depression, especially those without chemotherapy. The nodal and global parameters of the metabolic brain network were computed for cancer patients and healthy subjects. Significant decreases in metabolism were found in the frontal and temporal gyri in cancer patients compared with healthy subjects. Negative correlations between depression and metabolism were found predominantly in the inferior frontal and cuneus regions, whereas positive correlations were observed in several regions, primarily including the insula, hippocampus, amygdala, and middle temporal gyri. Furthermore, a higher clustering efficiency, longer path length, and fewer hubs were found in cancer patients compared with healthy subjects. The topological organization of the whole-brain metabolic networks may be disrupted in cancer. Finally, the present findings may provide a new avenue for exploring the neurobiological mechanism, which plays a key role in lessening the depression effects in pre-chemotherapy cancer patients.
Maximum likelihood position estimation of passive UHF RFID tags based on evaluation of backscattered transponder signals

This paper presents a 2-D localization system for passive UHF RFID tags on the basis of analysis of backscattered transponder signals. The maximum likelihood position estimator we introduce combines inherently phase and amplitude evaluation, thus enabling accurate and robust localization. A MIMO system in which, sequentially, each frontend is configured to work as a transmitter while the remaining frontends serving as receivers is used for position estimation. For proof of concept, we built a local position measurement system demonstrator comprising a commercial off-the-shelf RFID reader, conventional passive EPCglobal Class-1 Gen-2 UHF RFID tags, several transceiver frontends, baseband hardware, and signal processing. Measurements were carried out in an indoor office environment, and the experimental results showed accurate localization with a root-mean-square error of 0.054m and a median error of 0.011 m.
The ArcGIS Applied Designing and Study on Regional Farming Resources System

According to the special characteristics of regional industry resources in Inner Mongolia, the regional farming resources information system is designed and developed by ArcGIS technology in this paper. Based on the intelligent control and GIS theory, the GIS techniques and applications are introduced in brief at first, and the system design is illustrated on focus, including design methods and functional descriptions; then the key techs are analyzed. This system is combined with the automatic or many other fields. It is low in running costs and has better interoperability.
An Images Enhancement Based on Partial Contrast Ratio Transformation

Concerning the images of low contrast ratio, this paper presents a new defining approach for the partial contrast ratio. A new enhancement exponential function is used to measure the enhancement degree, while the fuzzy entropy is taken to weigh the partial detailed information. Given the entire contrast information, the enhancement index is determined, and then the fuzzy contrast transformation is performed through the exponential function. Through this revision of the fuzzy contrast, the information of low ratio domains would be effectively amplified, and that of the high ratio domains could be perfectly reserved, and the noise is avoided. This algorithm has nice performance in the contrast experiments over the ultrasound image of the human soft tissue and can also reduce the false positive rate in clinical diagnosis , which has wide application value.
Methods of measuring protein disulfide isomerase activity: a critical overview

Protein disulfide isomerase is an essential redox chaperone from the endoplasmic reticulum (ER) and is responsible for correct disulfide bond formation in nascent proteins. PDI is also found in other cellular locations in the cell, particularly the cell surface. Overall, PDI contributes to ER and global cell redox homeostasis and signaling. The knowledge about PDI structure and function progressed substantially based on in vitro studies using recombinant PDI and chimeric proteins. In these experimental scenarios, PDI reductase and chaperone activities are readily approachable. In contrast, assays to measure PDI isomerase activity, the hallmark of PDI family, are more complex. Assessment of PDI roles in cells and tissues mainly relies on gain- or loss-of-function studies. However, there is limited information regarding correlation of experimental readouts with the distinct types of PDI activities. In this mini-review, we evaluate the main methods described for measuring the different kinds of PDI activity: thiol reductase, thiol oxidase, thiol isomerase and chaperone. We emphasize the need to use appropriate controls and the role of critical interferents (e.g., detergent, presence of reducing agents). We also discuss the translation of results from in vitro studies with purified recombinant PDI to cellular and tissue samples, with critical comments on the interpretation of results.
P2P-InfoReflect: Dynamic Locality-Aware and Multi-balanced Overlay for Network Dependent Applications and Services

This paper presents P2P-InfoReflect, a system for supporting multi-attribute range queries. Our system differs from the already proposed in two major areas. The first is the decoupling of the routing process from the object distribution process due to the novel architecture that we propose. In this way we can separately optimize our system in order to efficiently implement these two functionalities. The second is the distributed creation and optimization of a locality aware overlay where routing process is performed in a balanced manner. The two algorithms that we proposed towards this goal, the placement and the swapping algorithm, are presented and analyzed in detail. Our claims are supported through our evaluation that shows the negligible overhead that our architecture introduces its scalable behavior and the improvement in the performance of our system with the development of a locality aware overlay.
DEFAULT AND DEVALUATION RISKS IN ARGENTINA : LONG-RUN AND EXOGENEITY IN DIFFERENT SYSTEMS

This study analyses the effect of devaluation risk on the default risk of Argentina, a critical question for the “dollarization debate”. The integrated nature of both series is taken into account to analyse the long run relationship and to evaluate “weak exogeneity” using a “cointegrating vector” system approach. First a bivariate system is considered and then the default risk in the region and indicators of macroeconomic performance are included. The results show that only devaluation risk adjusts to reach the equilibrium with the default risk. Once this risk is free from the effect of Latin American default risk, the solvency of the government (measured as the ratio of government debt to GDP) is the only factor that can be detected in the long run. Conclusions about weak exogeneity do not change when the information set is expanded.
Hierarchical modulation-based cooperative scheme: Minimizing the symbol error probability

In a cooperative network, relays are often closer to the source than the destination and thus the source-relay links have a higher capacity than the source-destination one. In this paper, we investigate a hierarchical modulation-based cooperative scheme, where the relay is able to detect the whole signal, while the destination can only detect the □rst layer of the modulation. We provide an error probability upper-bound for this scheme, which allows us to optimize the choice of the constellation parameter θ.
The Next Wireless Wave is a Millimeter Wave

The past few years has witnessed the emergence of CMOS-based circuits operating at millimeter-wave frequencies. Integrated on a low cost organic packaging, this is the promise for high volume fabrication, lowering the cost and opening huge commercial impact opportunities. As standardization efforts catalyze the interest and investment of the industry, one can count on the spreading of millimeter-wave technology in the consumer electronic market place in the near future. In the past few years, the interest in the millimeter-wave spectrum at 30 to 300 GHz has drastically increased. The emergence of low cost high performance CMOS technology and low loss, low cost organic packaging material has opened a new perspective for system designers and service providers because it enables the development of millimeter-wave radio at the same cost structure of radios operating in the gigahertz range or less. In combination with available ultra-wide bandwidths, this makes the millimeter-wave spectrum more attractive than ever before for supporting a new class of systems and applications ranging from ultra-high speed data transmission, video distribution, portable radar, sensing, de tection and imaging of all kinds. While at a lower frequency the signal can propagate easily for dozens of kilometers, penetrate through construction materials or benefit from advantageous reflection and refraction properties, one must consider carefully the characteristics (in particular strong attenuation and weak diffraction) of the millimeter-wave propagation, and exploit them advantageously. The free-space loss (FSL) (after converting to units of frequency and putting them in decibel form) between two isotropic antennas can be expressed as 1
An Adaptive Sleep-Time Management Model for Wireless Sensor Networks

The energy consumption of a wireless sensor network affects its lifetime which in turn affects the scope and usefulness of the network. Most existing or proposed MAC protocols enable nodes to specify a duty cycle, so that they can sleep much of the time to save energy. However, only very few models exist to determine the appropriate time and duration of a sleep phase. Existing approaches rely on pre-calculated sleep durations or are difficult to implement on real platforms. We propose a runtime and adaptive model to estimate the sleep time and duration of wireless sensor nodes. Our model takes the statistics of incoming and outgoing packets at a relay node which is then supplied to a general queueing model. The model is lightweight and can be fitted into any existing MAC protocol. We have implemented our model for TelosB platform and TinyOS environment. We integrated our model with two existing protocols (TinyOS LPL MAC and XMAC) and compared the performance of these protocols with and without our model. The performance evaluation results show that the energy consumption of a relay node reduced by 11.4 – 64.8%. The overall throughput of the network increased by up to 24%. Moreover, our model readily responded to changes in packet traffic rate while at the same time increasing the packet transmission reliability by 64.5 – 67.4% for different traffic scenarios.
Data mining algorithms for Web-services classification

Web services are software components that communicate using pervasive, standards-based Web technologies including HTTP and XML-based messaging. Web services are designed to be accessed by other applications and vary in complexity from simple operations, such as checking a banking account balance online, to complex processes running Customer Relationship Management (CRM) or Enterprise Resource Planning (ERP) systems. Since they are based on open standards such as HTTP and XML-based protocols including SOAP and WSDL, Web services are hardware, programming language, and operating system independent. In this paper, Naïve Bayes, C4.5 and Random forest methods are used as classifiers for the efficiency of web services classification.
キーノートスピーチ Analysis of Secondary Physical Education Teacher's Concerns in Profession (日本スポーツ教育学会第22回シンポジウム大会報告)

Introduction Researchers have applied a new paradigm of teacher development in order for the educators of teachers to build the effective system of the education of teachers. This approach assumes that teachers change constantly and pass through a series of development stages. As one of the most important characteristics among them is that the main concerns of teachers are different and those concerns continue changing in accordance with their development stage, that is to say, teachers' gradual changes in tardiness, anxieties, and demands (Lee & Cho, 1992). One of the most distinct concerns raised in the process of approaches to this development of teachers is about how the concerns of teachers develop which are their tardiness, anxieties, and demands. These things need to be discussed focusing on the stages of teachers' development. Tsai (1990) insisted that the concerns of teachers had an effect on teaching and settingup educational object of teachers and Lee & Cho (2002) showed that the degree and depth of teachers' concerns were of great importance to the lives of teachers and they vary according to the situations and conditions teachers were in, therefore, it will be interesting to examine these concerns. Having mentioned the point, studying the concerns of teachers can provide important clues for making good choices and decisions during the classes and play an important role as a factor or a potential variable which has great influence on a certain action and the change of attitude. Therefore, this research can provide essential information in understanding teachers' behaviors which should not be overlooked
An EM Algorithm for Fitting of Real Traffic Traces to PH-Distribution

In this paper we present an algorithm of the EM-type that performs fitting of PH-distributions with a given number of states to empirical distribution. In contrast to known approaches, the algorithm first generates a discretized representation of the observed data and then performs the fitting. In this way the algorithm is more efficient than other known EM-type methods. By an appropriate discretization, the main part as well as the tail of the distribution can be approximated sufficiently accurate.
EEG coherence reflects regional corpus callosum area in Alzheimer’s disease

Objective: Correlations between corpus callosum size and interhemispheric EEG coherence were investigated as measures of interhemispheric connectivity in patients with Alzheimer’s disease. Methods: 11 patients underwent both magnetic resonance imaging and quantitative electroencephalography to assess corpus callosum size and interhemispheric coherence. For comparison, corpus callosum size was measured in 24 healthy elderly control subjects. Results: Corpus callosum cross sectional area was significantly reduced in Alzheimer patients relative to controls. Posterior interhemispheric coherence (α and β frequencies) correlated significantly with the size of posterior corpus callosum area, and anterior coherence (δ, θ, and α frequencies) with the size of anterior corpus callosum area in the Alzheimer patients. Conclusion: Region specific correlations between corpus callosum size and EEG coherence suggest that the decline in interhemispheric connectivity in Alzheimer’s disease results from a specific loss of cortical association neurones projecting through the corpus callosum.
A Framework for Multi-zone Building Thermal-Electrical Representation

This paper presents the current situation and describes some preliminary considerations on the design and implementation of a framework that converts and represents multi-zone buildings floor plan in an RC circuit thermal-electrical model. The framework consists in obtaining pieces of information from the home user intuitively transforming them, firstly, into graphs and then in an electronic circuit representation. This knowledge representation will make heating building's behavior simulations possible.
Sunk Costs, Market Structure and Growth

I discuss a model of endogenous innovation that brings to the forefront the in-house R&D activity of the modern corporation. In a symmetric oligopoly, firms undertake cost-reducing R&D subject to a research technology with incomplete spillovers. Concentration of sales and R&D resources determine the optimal scale and the efficiency of firms' R&D operations and, thus, the rate of productivity growth. In addition, R&D expenditures (a sunk cost) are one component of total fixed costs and determine the number of active firms in zero-profit equilibrium. This feed-back makes the price, investment, entry, and exit decisions interdependent. A rich characterization of the balanced growth path, defined as the rate of growth and the number of firms that the market supports in general equilibrium, emerges. Multiple equilibria may exist and firms' expectations about rivalry determine the economy's performance.
Globalisation, Foreign Direct Investment and Their Impact on Labour Relations and Regulation: The Case of China

This paper examines foreign direct investment (FDI) and the impact on labour relations and labour regulations in China in the context of globalisation. It seeks to identify the relationships of the process of globalisation, the behaviour of multi-national enterprises (MNEs) and labour relations. Issues such as labour recruitment, forms of employment status, wages and welfare, human resource management (HRM) and the role of trade unions in foreign owned enterprises (FOEs) are examined. The paper also tackles the problems within FOEs and the response of the Government at both central and local levels. It concludes by identifying the major issues related to the relations between the globalisation and changes of labour relations and regulations, and the possible direction for developing economies to use FDI more effectively in an institutionalised environment.
A SiGe-Based D-Band Fundamental-Wave VCO with 9 dBm Output Power and -185 dBc/Hz FoMT

The design and measurement results of a fully-differential fundamental-wave VCO based on the Colpitts topology are presented. The circuit is realized in a 0.13-μm SiGe BiCMOS technology with a maximum oscillation frequency of 300 GHz. Design measures taken to minimize phase noise and to achieve high output power without using any output buffer are discussed. Operating at a supply voltage of 3.3V, on-wafer measurements show a tuning range of around 12 GHz from 147 to 159 GHz. The circuit achieves a maximum output power of 9 dBm (at 3.3V) and 9.8 dBm (at 3.6 V), both with an efficiency of around 6% and consumes a DC power of 132 mW and 164 mW, respectively. The average measured phase noise of the VCO over the entire tuning range is -92 dBc/Hz at 1 MHz offset, with a minimum phase noise of -96 dBc/Hz around 157GHz. The VCO demonstrates state-of-the-art performance in D-Band both in terms of output power and phase noise.
Masked Repetition Priming of Words and Nonwords: Evidence for a Nonlexical Basis for Priming

Abstract Lexical decisions for low- and high-frequency words are equally facilitated by masked repetition priming, whereas nonwords typically show no effect of such priming. This pattern of results has been used to argue against an episodic account of masked priming and in favor of a lexical account in which the prime opens the lexical entry of the upcoming target. We propose that an episodic account can be compatible with additive effects of masked priming and word frequency. We also demonstrate that masked priming of nonwords can be reliably produced, indicating that primes operate at a nonlexical level, primarily to facilitate orthographic encoding. The processing fluency created by a masked prime can work against correct classification of nonwords in a lexical decision task, leading either to no effect of priming or to an interference effect when subjects depend heavily on familiarity as a basis for lexical decisions.
Inversion of Electromagnetic Models for Bare Soil Parameter Estimation from Multifrequency Polarimetric SAR Data

The potentiality of polarimetric SAR data for the estimation of bare soil geophysical parameters (i.e., roughness and soil moisture) is investigated in this work. For this purpose, two forward models available in the literature, able to simulate the measurements of a multifrequency radar polarimeter, have been implemented for use within an inversion scheme. A multiplicative noise has been considered in the multidimensional space of the elements of the polarimetric Covariance Matrix, by adopting a complex Wishart distribution to account for speckle effects. An additive error has been also introduced on the simulated measurements to account for calibration and model errors. Maximum a Posteriori Probability and Minimum Variance criteria have been considered to perform the inversion. As for the algorithms to implement the criteria, simple optimization/integration procedures have been used. A Neural Network approach has been adopted as well. A correlation between the roughness parameters has been also supposed in the simulation as a priori information, to evaluate its effect on the estimation accuracy. The methods have been tested on simulated data to compare their performances as function of number of looks, incidence angles and frequency bands, thus identifying the best radar configuration in terms of estimation accuracy. Polarimetric measurements acquired during MAC Europe and SIR-C campaigns, over selected bare soil fields, have been also used as validation data.
Formulation and in vitro characterization of spray dried microspheres of amoxicillin

Formulation and in vitro characterization of spray dried microspheres of amoxicillin The purpose of the present study was to design muco-adhesive chitosan microspheres containing amoxicillin. Chitosan microspheres with a small particle size and good sphericity were prepared by a spray-drying method followed by chemical treatment with a chemical crosslinking agent (glutaraldehyde). Parameters affecting the crosslinking extent of the crosslinking time and the concentration of the crosslinker agent. Crosslinked spray-dried chitosan microspheres were analyzed for their morphological aspects, particle size, drug entrapment efficiency, swelling percent and in vitro drug release. Batch M4 with a drug polymer ratio of 1:2, dissolved in minimum concentration of acetic acid solution treated with glutraldehyde, was found to be optimal giving controlled drug release for 10 h. It was found that both the increase of glutaraldehyde concentration and crosslinking duration decreased the swelling capacity of chitosan microspheres. This could be directly correlated to drug release from the microspheres. Priprava i in vitro karakterizacija mikrosfera amoksicilina dobivenih metodom sušenja sprejom Cilj ovog rada bio je priprava mukoadhezivnih kitozanskih mikrosfera amoksicilina. Mikrosfere male veličine čestica i dobre sferičnosti pripravljene su metodom sušenja sprejom, te obradom s glutaraldehidom kao sredstvom za umrežavanje. Stupanj umrežavanja ovisio je o vremenu umrežavanja i koncentraciji sredstva za umrežavanje. Umreženim kitozanskim mikrosferama određen je oblik, veličina čestica, količina uklopljenog lijeka, postotak bubrenja i in vitro oslobađanje ljekovite tvari. Pripravak M4 s optimalnim svojstvima i kontroliranim oslobađanjem amoksicilina tijekom 10 sati pripravljen je pomoću smjese polimera omjera 1:2 otopljenih u razrijeđenoj octenoj kiselini, te umreženih pomoću glutraldehida. Povećanje koncentracije glutaraldehida i trajanja umrežavanja smanjuje sposobnost bubrenja kitozanskih mikrosfera, što je u izravnoj korelaciji s oslobađanjem lijeka iz mikročestica.