Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Implementation of Exercise Guidelines for Cancer Patients: Adaptation of ACSM’s Guidelines to the Italian Model

The goal of cancer treatment is to arrest or eradicate the tumor while minimizing the often toxic effects of treatment. While oncologic diagnostics and treatments are improving and survival rates are increasing, it is critical to provide additional patient management that appears to affect long-term survival. Epidemiologic evidence suggests patients diagnosed with cancer tend to fair better after treatment when following a comprehensive rehabilitation program aimed at achieving an ideal body weight through dietary and exercise interventions while also increasing cardiorespiratory fitness, strength, mobility, neuromuscular integrity and psycho-social wellbeing. Additionally, it is now being tested whether exercise during cancer treatment and possibly prior to the start of treatment may increase post treatment outcomes by altering body weight, having direct effects on tumorigenesis, reducing oxidative stress and inflammation, and perhaps increasing chemotherapy delivery efficacy. The purpose of this review is to outline an evidence based model to evaluate cancer patients and provide guidelines for post-cancer treatment rehabilitation programs. Additionally, strategies aimed at changing lifestyle habits such as smoking and poor dietary habits will be addressed.
Packet scheduling algorithm for NRT service in wireless system supporting integrated services of RT and NRT applications

This paper considers a packet scheduling algorithm using two different priority metrics specified for each service to support integrated services of real-time (RT) and non-realtime (NRT) applications. In particular, as a packet scheduling algorithm for NRT service, this paper proposes a new minimum guaranteed throughput scheduling (MGBRS) algorithm with two priority metrics based on average throughput and the minimum guaranteed throughput requirement and its design objective is to increase the number of NRT service users satisfying the required minimum guaranteed throughput. For the performance evaluation of the proposed MGBRS scheme in a wireless communication system, this paper adopts a transmission structure of an orthogonal frequency division multiple access (OFDMA) system. The simulation results show that the proposed algorithm can provide a significant improvement in terms of increase of the number of NRT service users satisfying the target outage probability and the per-cell total throughput performance by the number of NRT service users meeting the target outage probability is improved.
Fuzzy nature of trust and dynamic trust modeling in service oriented environments

In this paper, we propose and describe the six characteristics of trust. Based on the six proposed characteristics, we determine why trust is fuzzy. The term 'fuzzy' in this paper not in the sense of the precise definitions given in the Fuzzy Systems literature but to indicate a certain vagueness, complexity or ill-definition and qualitative characterization rather than quantitative representation and dynamic.We then determine why due to the six characteristics of trust, trust is dynamic. We then propose a modeling language tool to model the fuzzy and dynamic nature of trust.
Detection of respiratory signals according to different positions using acceleration sensor

In this study, a data acquisition system that recording of the movement of diaphragm was designed. At this microcontroller circuit, an acceleration which has ability to define position by using 3-axis Cartesian coordinate systems was used. The information obtained from the sensor, saved to the internal eeprom and transferred to the computer via USB. These data which were received to the computer, were grouped to the axis and plotted by the computer program which is developed at C # programming language. Patient position can be detected as well as the breathing signals form corresponding graph. Hence, it is easy to monitor, at which position and at which duration the patient is making effort. This ability gives us advantage to use this system for sleep apnea study. Meantime, the data transferred to the computer can also be saved in a text file in order to use in Matlab program to investigate both time and frequency analyzes. Since the developed system is portable, it can be used for a number of other study and research.
EFFICIENT ROUTING USING STR IN ZIGBEE WIRELESS NETWORKS

The Zigbee tree routing does not require any routing table and route discovery overhead to send a packet to the destination, so it is widely used in many resource-limited devices and applications. Zigbee is based on IEEE Standard 802.15. 4. Zigbee is a specification suite for a high-level communication protocols used to create Wireless Personal Area Networks (WPAN). Zigbee is frequently used in low data rate applications that entail long battery life and secure networking. In Zigbee network, to send the packet to destination it doesn’t require any routing table and route discovery overhead. But the fundamental drawback of Zigbee is that the packet transmission follows the tree topology. Therefore, it cannot provide the most favourable routing path. The key idea of the shortcut tree routing is to calculate remaining hops from an arbitrary source to the destination using the hierarchical addressing scheme in Zigbee. Each source or intermediate node transmits a packet to the neighbor node, which has the remaining hop count to destination. The shortcut tree routing is completely distributed and compatible with Zigbee standard in that it only uses the addressing scheme and neighbor table without any changes of the specification. The efficient performance rating shows that the shortcut tree routing achieves better performance, when compared with Zigbee tree routing.
OpenRouteFlow: Enable Legacy Router as a Software-Defined Routing Service for Hybrid SDN

Hybrid SDN is an important direction for the evolution of SDN. It is one of the challenges to be addressed for hybrid SDN to open the legacy router and enable the routing view as a software defined routing service. In this paper, OpenRouteFlow is presented, which opens legacy routing protocols and flow sampling information as a routing view service for network applications by software update. OpenRouteFlow tries to realize the decoupling of network visualization and network control. It provides path-oriented and traffic-oriented subscription and publication services for different scenarios of network control. In a hybrid network consisted of OpenFlow switches and legacy routers, OpenRouteFlow is able to map OpenFlow control rules into ACL or RIB in order to support flexible software defined capacities in legacy routers.
Stereoscopic Estimation of Surface Movement from inter-frame Matched Skin Texture

Estimating human motion is the topic of this thesis. We are interested in accurately estimating the motion of a human body using only video images capturing the subject in motion. Video images from up to two cameras are considered.The first main topic of the thesis is to investigate a new type of input data. This data consists of some sort of texture. This texture can be added to the human body segment under study or it can be the actual texture of the skin.In paper I we investigate if added texture together with the use of a two camera system can provide enough information to make it possible to estimate the knee joint center location. Evaluation is made using a marker based system that is run in parallel to the two camera video system. The results from this investigation show promise for the use of texture. The marker and texture based estimates differ in absolute values but the variations are similar indicating that texture is in fact usable for this purpose.In paper II and III we investigate further the usability in images of skin texture as input for motion estimation. Paper II approaches the problem of estimating human limb motion in the image plane. An image histogram based mutual information criterion is used to decide if an extracted image patch from frame k is a good match to some location in frame k+1. Eval- uation is again performed using a marker based system synchronized to the video stream. The results are very promising for the application of skin texture based motion estimation in 2D. In paper III, basically the same approach is taken as in paper II with the substantial difference that here estimation of three dimensional motion is addressed. Two video cameras are used and the image patch matching is performed both between cameras (inter-camera) in frame k and also in each cameras images (intra-camera) for frame k to k+1. The inter-camera matches yield triangulated three dimensional estimates on the approximate surface of the skin. The intra-camera matches provide a way to connect the three dimensional points between frame k and k+1 The resulting one step three dimensional trajectories are then used to estimate rigid body motion using least squares methods. The results show that there is still some work to be done before this texture based method can be an alternative to the marker based methods.In paper IV the second main topic of the thesis is discussed. Here we present an investigation in using model based techniques for the purpose of estimating human motion. A kinematic model of the thigh and shank segments are built with an anatomic model of the knee. Using this model, the popular particle filter and typical simulated data from the triangulation in paper III, an estimate of the motion variables in the thigh and shank segment can be achieved. This also includes one static model parameter used to describe the knee model. The results from this investigation show good promise for the use of triangulated skin texture as input to such a model based approach.
Empirical Insights on the Effect of User-Generated Website Features on Micro-Conversions

Based on 2.91 million user sessions, this study analyzes the effect of user-generated social-shopping features on micro-conversions. In the authors' specific case of a social shopping community SSC, the authors define a micro-conversion as a visit to a product-detail page. These visits are a requisite for visits to participating online-shops click-out for which the operator of a SSC receives a fee. In addition to general metrics and traditional Website shopping features, several user-generated social shopping features, such as recommendation lists, styles e.g., user-generated assortments, tags, and user profiles are analyzed. Lists, styles, and tags positively affect the number of micro-conversions indicating their ability to facilitate browsing and product shopping. In contrast, the authors' results show a negative effect of user profiles on the number of micro-conversions. However, profiles facilitate community building activities. Implications for researchers and management are provided.
Beneficial acute effects of rho-kinase inhibitor in patients with pulmonary arterial hypertension.

BACKGROUND Pulmonary arterial hypertension (PAH) is a poor prognostic disease with limited treatment options. Rho-kinase is involved in the pathophysiology of several diseases underlying smooth muscle hypercontraction, so the purpose of this study was to investigate the efficacy of fasudil, a Rho-kinase inhibitor, in patients with PAH. METHODS AND RESULTS Fasudil 30 mg was intravenously injected over 30 min in 8 patients (all female, mean +/- SD, 41+/-11 years) with PAH. The lowest total pulmonary resistance (TPR) time was within 30-60 min after administration. Administration of fasudil decreased TPR from 1,069+/-573 dyne . s . cm (-5) to 809+/-416 dyne . s . cm(-5) (p<0.005) and mean pulmonary arterial pressure from 41.3+/-12.8 mmHg to 37.9+/-14.6 mmHg (p<0.05). The cardiac index was increased from 2.42+/-0.73 L . min(-1) . m(-2) to 2.84+/-0.79 L . min(-1) . m(-2) (p<0.02). Systemic vascular resistance and systolic systemic arterial pressure (SAP) were decreased (p<0.005, p=0.09, respectively), but the decrease in SAP was small (-6.4+/-9.1 mmHg). CONCLUSION These results suggest that Rho-kinase is involved in the pathogenesis of human PAH and that fasudil is a novel therapeutic agent.
Pest Identification using Image Processing Techniques in Detecting Image Pattern through Neural Network

In rice production, pest invasion is considered as the most challenging task for crop technicians and farmers. Pest invasion can cause serious losses and affect the income of farmers. It is then important to assess their density for pests forecasting decision making. Existing identification techniques of these species comprise of using different traps to detect their presence. However, these traditional methods are labor-intensive and sometimes experts on this field are not available. Another problem is that multiple site and frequent monitoring of rice pests is time consuming and tedious for a crop technician. This can lead to low accuracy and delays in obtaining accurate count of these species. In this study, an identification system was developed to automatically identify the insect pests in the paddy field. Sticky trap was used to capture the insect which continuously monitored by a wireless camera to record the video. Different image processing techniques was utilized to detect and extract the captured insect from the image, and Kohonen Self Organizing Maps neural network was used to identify the extracted insect pests. The results indicate that the proposed automated identification system is capable of accurately identifying the insect pests even though there are lots of lighting variations. The new automated identification system developed in this study provides a reliable identification and was found to be faster than a human expert in identifying the insect pests caught by a sticky trap.
A comparison of WirelessHART and ZigBee for industrial applications

In this paper we present reasons why ZigBee is not considered suitable for use in most industrial applications, which was also motivation for the development of a new wireless communication standard tailored to the industrial needs: WirelessHART. We also give a short presentation of the design features that makes WirelessHART more suitable for industrial applications and requirements.
Compliance of osteoporotic patients with different treatment regimens.

BACKGROUND The treatment of osteoporosis among postmenopausal women represents a major public health challenge since long-term therapy is needed to prevent fractures and chronic disability. OBJECTIVES To assess compliance with osteoporosis drug therapy among Israeli postmenopausal women treated with either a bisphosphonate (alendronate) or a selective estrogen receptor modulator (raloxifene); to identify factors affecting compliance among these patients; and to compare adherence to the treatment in these two groups. METHODS Our study included 178 consecutive patients aged 67.41 +/- 8.52 years who were treated for osteoporosis with alendronate or raloxifene in the Metabolic Bone Diseases Unit. All the patients received supplementation with calcium carbonate 1,500 mg and 600 IU vitamin D daily. Compliance was assessed at a clinic visit 6 months after starting therapy. RESULTS The dropout rate was 23% (41 patients): 20 patients (31%) in the raloxifene group and 21 (18%) in the alendronate group (P = 0.0041). The main reasons for dropout were side effects and/or noncompliance, 16 and 24 patients (39% and 58.53%) respectively. The most frequent side effect was abdominal pain in 9 patients (42.8%) who discontinued alendronate use. The reasons for non-compliance were a fear of side effects and high drug price in 6 (30%) and 4 (20%) patients respectively in the raloxifene group, and inconvenience caused by medication use in 3 patients (14.3%) in the alendronate group. Logistic regression analysis of factors that may influence compliance included age, previous fractures, family history of osteoporosis, bone density T-score less than -2.5, and presence and number of concomitant diseases. Age was the only statistically significant parameter in this model: 67.8 +/- 8.8 in non-compliant versus 64.11 +/- 7.4 in compliant patients (P = 0.029). CONCLUSION At least 20% of the patients discontinued chronic treatment for osteoporosis during the initial 6 months of therapy. The main reasons were gastrointestinal side effects in the alendronate group and fear of side effects and high drug price in the raloxifene group. Older age was the only statistically significant factor influencing compliance.
Identity, assessment, and competency: On the intersections between language education and teacher education

It is with great pleasure that I welcome you, the reader, to this edition of Teacher Learning and Professional Development. As I mentioned in my inaugural editorial, the purpose of this journal is to provide a forum for increasing the scope with which we in the academy tend to talk about teacher learning, professional development, and teacher education. I also wish to extend sincere apologies to the authors of the articles in this issue. Although the bulk of their work was complete before this issue came online, changes in my professional life interrupted my usual way of doing things and thus resulted in a delayed publication. I thank them for their patience during a challenging transition and look forward to resuming a regular publication schedule.
A Genome-Wide Screen for Spatially Restricted Expression Patterns Identifies Transcription Factors That Regulate Glial Development

Forward genetic screens in genetically accessible invertebrate organisms such as Drosophila melanogaster have shed light on transcription factors that specify formation of neurons in the vertebrate CNS. However, invertebrate models have, to date, been uninformative with respect to genes that specify formation of the vertebrate glial lineages. All recent insights into specification of vertebrate glia have come via monitoring the spatial and temporal expression patterns of individual transcription factors during development. In studies described here, we have taken this approach to the genome scale with an in silico screen of the Mahoney pictorial atlas of transcription factor expression in the developing CNS. From the population of 1445 known or probable transcription factors encoded in the mouse genome, we identify 12 novel transcription factors that are expressed in glial lineage progenitor cells. Entry-level screens for biological function establish one of these transcription factors, Klf15, as sufficient for genesis of precocious GFAP-positive astrocytes in spinal cord explants. Another transcription factor, Tcf4, plays an important role in maturation of oligodendrocyte progenitors.
Genetic-based high-level synthesis of ΣΔ modulator in SystemC-A

This paper proposes a novel genetic-based high-level synthesis methodology for ΣΔ modulators. This approach is based on simulation-based optimisation where optimal topology of the ΣΔ modulator is automated explored using a genetic algorithm (GA) under various design constraints, such as SNR (Signal to-Noise Ratio) and hardware complexity. The proposed synthesis technique has been implemented in SystemC-A due to its advantages in terms of high simulation speed, flexibility and data manipulation. Experimental results validates the effectiveness of the synthesis approach.
20∶60∶20 - Differences in Energy Behaviour and Conservation between and within Households with Electricity Monitors

The introduction of electricity monitors (in-home displays; IHDs), which show accurate and up-to-the-minute energy usage, is expected to lead to reduction in consumption. Studies of feedback on domestic electricity use have generally supported this view. However, such studies also demonstrate wide variation between households. Examining the heterogeneity of responses is essential for understanding the actual and potential effectiveness of IHDs and in order to target interventions effectively. To explore differences between households' responses to IHDs, we conducted a qualitative study with 21 households who had an IHD for more than six months. Of the 21, only four households continued to refer to the IHD and the findings suggest that attempts to reduce energy consumption were situated in wider social and physical contexts. Further, the participants demonstrated energy saving behaviour before and outside of IHD usage. The patterns of energy behaviours and attempts at electricity conservation could best be understood by categorising the households into three types: the Monitor Enthusiasts (20%), the Aspiring Energy Savers (60%) and the Energy Non-Engaged (20%). The factors of importance in energy behaviour differed between the categories. Financial savings contributed to efforts to reduce energy use but only up to boundaries which varied considerably between households. Social practices and social relationships appeared to constrain what actions households were prepared to undertake, illuminating aspects of inter-household variation. Within the household, all energy users were not equal and we found that women were particularly influential on energy use through their primary responsibility for domestic labour on behalf of the household. The implications of the findings for environmental campaigning are discussed.