Miracle-dz/UniFAR-FTUs huggingface dataset:
EVALUATION OF TELEREHABILITATION FOR THE DELIVERY OF REMOTE COGNITIVE REHABILITATION

Access to specialized cognitive rehabilitation services is often challenging for clients with cognitive disabilities for many reasons. Therefore, the purpose of this study was to determine the efficacy of remote cognitive rehabilitation to provide services to a distant clinic using telerehabilitation (TR). A remote cognitive rehabilitation system was developed to deliver services remotely. The remote cognitive rehabilitation system consisted of two unique components, videoconferencing and a tablet PC equipped with a web-based learning management system (Moodle). The Ecologically Oriented Neurorehabilitation of Memory (EON-MEM) was selected as a manualized approach to delivering cognitive rehabilitation and to standardize administration. The EON-MEM consists of weekly meetings with a clinician, as well as paper based daily homework activities completed between sessions. Electronic versions of the homework were developed and transferred into Moodle. Clinical usability was assessed during development to further refine the system. Upon completion of development, the finalized system was deployed into a clinical trial evaluating the equivalency and efficacy of a 9-week memory intervention delivered face-to-face (FTF) and using TR. Thirty subjects participated in a quasi-experimental study. The findings based upon confidence intervals indicate the TR intervention was not statistically equivalent to the FTF intervention. Efficacy results indicated the overall treatment intervention (p=0.001 to 0.055), as well as the FTF group (p=0.003 to 0.415) and TR group (p=0.001 to 0.070), significantly improved some objective and self-report memory function, including the Wechsler Memory Scale –IV Logical Memory and the Self-Regulation Skills Interview. Participation in the 9-week EON-MEM resulted in statistically and clinically significant improvements in standardized and self-report measures of memory function. Summative usability was conducted on the electronic activities to ensure a high level of fidelity to the original, paper based activities. Additional clinical usability testing was conducted at the conclusion of clinical trial. Usability results indicate subjects were satisfied with completing cognitive rehabilitation sessions remotely, as well as completing homework activities through Moodle on the tablet PC. Results from these studies demonstrate that learning management systems are a novel approach to delivery of cognitive rehabilitation. Results from this preliminary study indicate TR is an acceptable modality for delivering cognitive rehabilitation services.
An Adaptive Sampling Algorithm with Applications to Denial-of-Service Attack Detection

There is an emerging need for the traffic processing capability of network security mechanisms, such as intrusion detection systems (IDS), to match the high throughput of today's high-bandwidth networks. Recent research has shown that the vast majority of security solutions deployed today are inadequate for processing traffic at a sufficiently high rate to keep pace with the network's bandwidth. To alleviate this problem, packet sampling schemes at the front end of network monitoring systems (such as an IDS) have been proposed. However, existing sampling algorithms are poorly suited for this task especially because they are unable to adapt to the trends in network traffic. Satisfying such a criterion requires a sampling algorithm to be capable of controlling its sampling rate to provide sufficient accuracy at minimal overhead. To meet this Utopian goal, adaptive sampling algorithms have been proposed. In this paper, we put forth an adaptive sampling algorithm based on weighted least squares prediction. The proposed sampling algorithm is tailored to enhance the capability of network based IDS at detecting denial-of-service (DoS) attacks. Not only does the algorithm adaptively reduce the volume of data that would be analyzed by an IDS, but it also maintains the intrinsic self-similar characteristic of network traffic. The latter characteristic of the algorithm can be used by an IDS to detect DoS attacks by using the fact that a change in the self-similarity of network traffic is a known indicator of a DoS attack.
It's Baaack: Japan's Slump and the Return of the Liquidity Trap

In the early years of macroeconomics as a discipline, the liquidity trap-that awkward condition in which monetary policy loses its grip because the nominal interest rate is essentially zero, in which the quantity of money becomes irrelevant because money and bonds are essentially perfect substitutes-played a central role. Hicks (1937), in introducing both the IS-LM model and the liquidity trap, identified the assumption that monetary policy was ineffective, rather than the assumed downward inflexibility of prices, as the central difference between " Mr. Keynes and the classics ". It has often been pointed out that the Alice-in-Wonderland character of early Keynesianism, with its paradoxes of thrift, widow's cruses, and so on, depended on the explicit or implicit assumption of an accommodative monetary policy; it has less often been pointed out that in the late 1930s and early 1940s it seemed quite natural to assume that money was irrelevant at the margin. After all, at the end of the 30s interest rates were hard up against the zero constraint: the average rate on Treasury bills during 1940 was 0.014 percent. Since then, however, the liquidity trap has steadily receded both as a memory and as a subject of economic research. Partly this is because in the generally inflationary decades after World War II nominal interest rates stayed comfortably above zero, and central banks therefore no longer found themselves " pushing on a string ". Also, the experience of the 30s itself was reinterpreted, most notably by Friedman and Schwartz (1963); emphasizing broad aggregates rather than interest rates or monetary base, they argued in effect that the Depression was caused by monetary contraction, that the Fed could have prevented it, and implicitly that even after the great slump a sufficiently aggressive monetary expansion could have reversed it. To the extent that modern
Are There Interactions Among Dysfunctional Beliefs in Obsessive Compulsive Disorder?

Contemporary cognitive models of obsessive‐compulsive disorder emphasize the importance of various types of dysfunctional beliefs, such as beliefs about inflated responsibility, perfectionism and the importance of controlling one's thoughts. These beliefs have been conceptualized as main effects, each influencing obsessive‐compulsive symptoms independent of the contributions of other beliefs. It is not known whether beliefs interact with one another in their influence on obsessive‐compulsive symptoms. To investigate this issue, data from 248 obsessive‐compulsive disorder patients were analyzed. Dependent variables were the factor scores on the 4 Padua Inventory subscales. Predictor variables were the factor scores from the 3 factors (inflated responsibility, perfectionism and controlling one's thoughts) of the Obsessive Beliefs Questionnaire and their 2‐ and 3‐way interactions. Regression analyses revealed significant main effects; in almost all analyses one or more of inflated responsibility, perfectionism, and controlling one's thoughts factors predicted scores on the Padua factors even after controlling for general distress. There was no evidence that beliefs interact in their effects on obsessive‐compulsive symptoms, thereby providing a relatively unusual instance in which a simpler explanation (main effects only) is just as powerful as a more complex model.
An Evaluation of Digital Stories Created for Social Studies Teaching

Digital stories are useful tools for combining technology with education, in terms of the preparation stage, practicality, availability and usability as an evaluation instrument. In this study, digital stories created in a social studies teaching class were evaluated and the opinions of primary school teacher candidates were obtained concerning the digital stories they created. The study group consisted of 35 teacher candidates studying in the 3rd grade of the Primary School Teaching Department, Necatibey Faculty of Education, Balikesir University. In this study, the case study method was used and both qualitative and quantitative data were also included to further investigate the subject. The Digital Story Evaluation Scale and Semi-structured Interview Form were used for collecting data. After implementing the Digital Story Evaluation Scale an Individual Performance Grade (IPG) was created to evaluate the individual performances of the teacher candidates. As a result of the data analyses, the difficulties encountered in the digital story creation process were studied after they had been divided into six categories, including the audio record not working simultaneously with the images, not being able to create an ideal scenario, not being able to find an appropriate image for the scenario, audio disconnection during image transition, difficulties in finding background music, and difficulties in using the programme. Keywords: digital story; social studies teaching; primary school
Molecular Characterization of the Region 7q22.1 in Splenic Marginal Zone Lymphomas

Splenic marginal zone lymphomas (SMZL) are an uncommon type of B-cell non-Hodgkin's lymphoma (NHL-B) in which no specific chromosomal translocations have been described. In contrast, the most frequent cytogenetic abnormality is the loss of the long arm of chromosome 7 (7q). Previous reports have located this loss in the 7q32 region. In order to better characterize the genomic imbalances in SMZL, molecular studies were carried out in 73 patients with SMZL. To gain insight into the mapping at 7q a tiling array was also used. The results confirmed the loss of 7q as the most frequent change. In addition, several abnormalities, including 4q22.1, 1q21.3–q22, 6q25.3, 20q13.33, 3q28, 2q23.3–q24.1 and 17p13, were also present. A loss of 7q22.1 at 99925039–101348479 bp was observed in half of the cases. The region of 7q22.1 has not previously been characterised in SMZL. Our results confirmed the presence of a new region of loss on chromosome 7 in these NHL.
THE EFFECT OF INNOVATIVENESS ON THE RELATIONSHIP BETWEEN DIVERSIFICATION AND SLACK

The main purpose of this paper is to investigate the management’s willingness to act in the best interest of the top corporate. Particularly, this study examines the role of incentive schemes to reduce the presence of budgetary slack in the business units budget. Pilot study was conducted to 34 respondents that represented the sample of this study to ensure the feasibility and clarity of questionnaires and collected comments from them. Using Moderated Structural Equation Modeling, this study found that diversified firms can not control the presence of budgetary slack. Moreover, this study found that the significance relationship between diversification and budgetary slack was moderated by the firms’ value orientation towards innovation. The results also revealed that, out of three incentive schemes, only corporate-based incentive was able to reduce the presence of budgetary slack. This paper suggest interested researcher to use other measures of incentives such as group-based versus tournament-based incentive. This study can be concluded that agency perspectives may no longer be suitable to explain the presence of budgetary slack in their business units as the nonsignificant effect found on the relationship between incentive schemes on budgetary slack.
High-Voltage Tolerant Digitally Aided DCM/PWM Multiphase DC-DC Boost Converter With Integrated Schottky Diodes in 0.13 µm 1.2 V Digital CMOS Process

This paper reports a high-frequency DC-DC boost converter capable of sustaining up to 4× the rated process voltage using high-voltage devices fabricated in standard 0.13 μm 1.2 V CMOS without additional masking steps. Integrated Schottky Barrier Diodes (SBD) and high-voltage stacked composite NMOS switches enable processing of large voltages in a 100 MHz digitally assisted four-phase switched inductor (SI) boost converter architecture. A high-frequency digital delay-locked loop (DDLL) is employed to automatically stagger and synchronize each phase to a primary current-mode pulsed-width modulator (PWM) controller, thus eliminating the need for multiple current sensing circuits. The converter operates in discontinuous conduction mode (DCM) and utilizes integrated Schottky diode output rectifier stages to eliminate dead-time controllers and power hungry high side drivers. The converter operates at 100 MHz with four external 22 nH inductors and achieves an output conversion range of 3 V to 5 V from a 1.2 V input supply. It can deliver 240 mW at 3 V and 200 mW at 5 V with an efficiency of 60%, and ~ 180 mW at 3 V with peak efficiency of 64%.
Finite-State Markov Modelling of Frequency-Selective Fading Channels with Correlated Taps

We consider the problem of modelling a randomly time-varying frequency-selective fading channel as a finite-state Markov channel (FSMC). For a fading channel with two correlated taps and given statistical parameters, the accuracy of an FSMC is assessed by comparing its information rate, when the receiver has ideal channel-state information, to that of the original continuous-valued channel. We show that in order to construct an FSMC with a given desired accuracy, fewer states are required if the correlation between taps is taken into account than if the taps are treated as being independent. These results demonstrate the suitability and accuracy of FSMCs for modelling a time-varying frequency-selective fading channel with memory.
Packet scheduling for cellular relay networks by considering relay selection, channel quality, and packet utility

In this paper, we propose a packet scheduling algorithm for cellular relay networks by considering relay selection, variation of channel quality, and packet delay. In the networks, mobile users are equipped with not only cellular but also user relaying radio interfaces, where base station exploits adaptive high speed downlink channel. Our proposed algorithm selects a user with good cellular channel condition as a relay station for other users with bad cellular channel condition but can get access to relay link with good quality. This can achieve flexible packet scheduling by adjusting transmission rates of cellular link. Packets are scheduled for transmission depending on scheduling indexes which are calculated based on user's achieved transmission rate, packet utility, and proportional fairness of their throughput. The performance results obtained by using computer simulation show that the proposed scheduling algorithm is able to achieve high network capacity, low packet loss, and good fairness in terms of received throughput of mobile users.
A new class of doubletalk detectors based on cross-correlation

A doubletalk detector (DTD) is used with an echo canceler to sense when far-end speech is corrupted by near-end speech. Its role is to freeze the adaptation of the model filter when near-end speech is present in order to avoid divergence of the adaptive algorithm. Several authors have proposed to use the cross-correlation coefficient vector between the input signal vector x and the scalar output y for a DTD. We show in this paper that this measure is not appropriate and propose a modified form that meets, in an optimal way, the needs for an efficient DTD. By extension, we also propose a definition of the normalized cross-correlation matrix between two vectors and show a link with the coherence function.
Cobinamides Are Novel Coactivators of Nitric Oxide Receptor That Target Soluble Guanylyl Cyclase Catalytic Domain

Soluble guanylyl cyclase (sGC), a ubiquitously expressed heme-containing receptor for nitric oxide (NO), is a key mediator of NO-dependent processes. In addition to NO, a number of synthetic compounds that target the heme-binding region of sGC and activate it in a NO-independent fashion have been described. We report here that dicyanocobinamide (CN2-Cbi), a naturally occurring intermediate of vitamin B12 synthesis, acts as a sGC coactivator both in vitro and in intact cells. Heme depletion or heme oxidation does not affect CN2-Cbi-dependent activation. Deletion mutagenesis demonstrates that CN2-Cbi targets a new regulatory site and functions though a novel mechanism of sGC activation. Unlike all known sGC regulators that target the N-terminal regulatory regions, CN2-Cbi directly targets the catalytic domain of sGC, resembling the effect of forskolin on adenylyl cyclases. CN2-Cbi synergistically enhances sGC activation by NO-independent regulators 3-(4-amino-5-cyclopropylpyrimidine-2-yl)-1-(2-fluorobenzyl)-1H-pyrazolo[3,4-b]pyridine (BAY41-2272), 4-[((4-carboxybutyl){2-[(4-phenethylbenzyl)oxy]phenethyl}amino) methyl [benzoic]-acid (cinaciguat or BAY58-2667), and 5-chloro-2-(5-chloro-thiophene-2-sulfonylamino-N-(4-(morpholine-4-sulfonyl)-phenyl)-benzamide sodium salt (ataciguat or HMR-1766). BAY41-2272 and CN2-Cbi act reciprocally by decreasing the EC50 values. CN2-Cbi increases intracellular cGMP levels and displays vasorelaxing activity in phenylephrine-constricted rat aortic rings in an endothelium-independent manner. Both effects are synergistically potentiated by BAY41-2272. These studies uncover a new mode of sGC regulation and provide a new tool for understanding the mechanism of sGC activation and function. CN2-Cbi also offers new possibilities for its therapeutic applications in augmenting the effect of other sGC-targeting drugs.
Evaluation and Validation of BODPOD Body Scan Method as Compared to DEXA, Effect of Calcium and Caloric Intake in Female Collegiate Track Athletes

Purpose: This study was conducted to evaluate the validity of the BODPOD air displacement plethysmography as compared to the DEXA (dual energy x-ray absorptiometry) in testing body fat percentages in female collegiate runners. The link between caloric intake and body fat distribution, as well as the link between calcium and vitamin D intake and bone density was also evaluated. Methods: Participants were 8 female collegiate athletes from the USU track team. A 3day diet history was obtained from each participant and body fat test were performed using both the BODPOD and the DEXA scans within a four month period due to scheduling problems. Results from the diet history were evaluated using the Food Processor SQL and correlations were calculated using SPSS. Information regarding the regularity of their menstrual cycles as well as incidence of stress fractures were also obtained in an interview. Results: There was a correlation between the BODPOD and the DEXA scans (R = 0.731, P = 0.04). BODPOD varied by as much as 6.7% from the body fat results recorded using the DEXA. The median difference between body fat composition measured by the BodPod and DEXA scan was 3.7 (SD)%. Depending on the needs of the user, this value may be problematic. There was no association between caloric intake and body distribution or calcium and vitamin D intake and bone density because of the small sample size and low variability.
Estimation of the mediation effect with a binary mediator

A mediator acts as a third variable in the causal pathway between a risk factor and an outcome. In this paper, we consider the estimation of the mediation effect when the mediator is a binary variable. We give a precise definition of the mediation effect and examine asymptotic properties of five different estimators of the mediation effect. Our theoretical developments, which are supported by a Monte Carlo study, show that the estimators that account for the binary nature of the mediator are consistent for the mediation effect defined in this paper while other estimators are inconsistent. We use these estimators to study the mediation effect of chronic cerebral infarction in the causal relationship between the apolipoprotein E ε4 allele and cognitive function among 233 deceased participants from the Religious Orders Study, a longitudinal, clinical‐pathologic study of aging and Alzheimer's disease. Copyright © 2006 John Wiley & Sons, Ltd.
Adverse association between obesity and menopause in mice treated with bezafibrate, a pan peroxisome proliferator–activated receptor agonist

ObjectiveThe goal of this study was to investigate the combined effects of ovariectomy (OVX) and high-fat diet (HF) on insulin sensitivity and pancreatic remodeling in C57BL/6 mice treated with bezafibrate. MethodsFemale C57BL/6 mice were subjected to OVX or surgical procedure without removal of the ovary (SHAM). Animals received standard chow (SC; 10% lipids) or HF (60% lipids). After 13 weeks on the diets, the animals were subdivided into six groups based on diet, bezafibrate treatment, or both: SHAM-SC, SHAM-HF, SHAM-HFBz, OVX-SC, OVX-HF, and OVX-HFBz. After treatment for 5 weeks, the pancreas was removed and analyzed using morphometry, stereological tools, immunostaining, and multiplex assay kits. ResultsSHAM-HF and OVX-HF mice showed increased fasting glucose levels, plasma insulin levels, homeostasis model of assessment for insulin resistance index, body mass, islet hypertrophy, &bgr;-cell mass, and insulin immunostaining, but decreased GLUT2 immunostaining. Bezafibrate treatment prevented islet hypertrophy and reduced body mass, plasma insulin levels, and homeostasis model of assessment for insulin resistance index. ConclusionsOVX combined with HF accentuates the effects of menopause, leading to the development of insulin resistance. Bezafibrate treatment reduces body mass, plasma insulin levels, and pancreatic islet hypertrophy in mice fed HF.
Building a User Oriented Application for Generic Source Code Metrics Extraction from a Metrics Framework

Software metrics are an essential tool in the software measurement process. As software systems grow, and in consequence their corresponding source code, automated tools for source code metrics extraction, usually known as Software Metric Tools, should be developed in order to aid the user to correctly achieve the process. Even though these tools are of great help, they have certain issues and are limited by the set of accepted metrics and programming languages. This paper propose a new type of metric tool aimed to be user oriented, meaning that the tool provides mechanisms that allow the user to define his own metrics and incorporate new languages. A tool with these characteristics requires more complex methodologies for its construction. In this paper we describe the problematic of current software tools and the construction of a user oriented tool which presents advantages over the current tools.
Routing Protocols and Energy efficient protocols for Data Aggregation in Wireless Sensor Network : A Survey

A sensor in wireless sensor networks (WSNs) periodically produces data as it monitors its vicinity. The basic operation in such a network is the systematic gathering (with or without in-network aggregation) and transmitting of sensed data to a base station for further processing. A key challenging question in WSNs is to choose best routing protocol to gather data from various sensing devices and send it to the base station (sink). Routing protocols used in various networks (homogeneous, heterogeneous and hybrid) are the same. Routing protocol which consumes less energy and produces minimum traffic is used in that particular network. This paper give a survey of different routing protocol and a way to save energy used for data aggregation in sensor network. The propose protocol is based on a network which uses HYBRID sensors and it will depend upon the RANGE of sensors to detect the vicinity. The protocol focused on minimizing traffic in the sensor node and energy consumption by sensors. The information will be transmitted as trans-receiver. There are using a two different radio, low power radio is use for detect to the event and high power radio is used for data transmission.