Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring and measuring the co-existence between LTE and DVB-T2-Lite services

The development and effective use of wireless communication systems to provide mobile services is rapidly increasing. Nowadays, the world's most perspective standards to provide wireless multimedia services in high quality are LTE (Long-Term Evolution) and DVB-T2 Lite (DVB-2nd Generation Terrestrial). On the other hand, these wireless multimedia systems can many times operate in a neighboring frequency spectrum. Therefore, as a result, numerous co-existence scenarios are possible. The focus of this paper is to explore and measure the co-existence between LTE and DVB-T2 Lite multimedia services. Theoretical backgrounds of the coexistence scenarios, general workplace and the principle of the measuring method of the influence of the LTE services on DVB-T2 services and vice versa are clearly presented and described. Furthermore, deeper investigation of the mutual influence of the DVB-T2 system on the LTE system is also explored and graphically illustrated. Finally, all obtained results are evaluated and future work is outlined.
Overexpression of matrix-metalloproteinase-9 in human breast cancer: a potential favourable indicator in node-negativeatients

Matrix metalloprotease-9 (MMP-9; 92 kDa type IV collaganase, gelatinase B) is regarded as, important for degradation of the basement membrane and extracellular matrix during cancer invasion and other tissue-remodelling events. In this study we evaluate the prognostic value of MMP-9, by immunoperoxidase staining in a series of 210 breast cancer tissues. The results were quantitated using the HSCORE system, which consider both staining intensity and the percentage of cells stained at given intensities. MMP-9 status was compared with the concentration of cytosolic Cathepsin-D and with other established prognostic factors, in terms of disease free survival and overall survival. The median follow-up period was 62 months. MMP-9 staining was observed primarily in cancer cells, and to a lesser degree in surrounding stromal cells. MMP-9 expression was not detected in normal breast tissue. Levels of MMP-9 expression below the cut-off point were more frequently observed in larger (P=0.014), invasive ductal histologic (P=0.037), progesterone receptor (PR)-negative and PR-strong positive tumours (P< 0.001), as well as samples belonging to patients with stage III-IV disease (P=0.009) and age 45–55 years (P=0.011). In univariate analysis, node-negative breast cancer patients with tumors positive for MMP-9 had a considerable reduction in risk for relapse (RR=0.45; P=0.039) or death (RR=0.32; P=0.009). Multivariate analysis indicated that MMP-9 status was an independent favourable predictor of OS (RR=0.47; P=0.034) in node-negative but not in node-positive patients. Our results suggest that MMP-9 may be an independent favourable prognostic factor in node-negative breast cancer patients. The overexpression of MMP-9 in breast cancer may be also used as a marker to subdivide node negative breast cancer patients in order to determine the optimal treatment modality. © 2001 Cancer Research Campaign http://www.bjcancer. com
Application Design of Data Packet Capturing Based on Sharpcap

in this paper, a new method is proposed about how to capture data with Sharp cap on dot Net. Sharp cap is a development package of capturing the first floor network data on the dot Net platform. It supports VB.Net and C#. Net development language. The basic principle is through establishing the network adapter as the monitor pattern, all data that flows through data linker layer is captured. This article has outlined the internal composition and the function of Sharp cap. At the same time it has introduced how to capture data packet with Sharp cap. Finally it makes contrast between effective procedure with Sharp cap and wire shark which is a special tool.
Bicarbonate-Buffered Capd Solutions: From Clinical Trials to Clinical Practice

C solutions contain a buffer that is required to counterbalance the metabolic acid production coming from protein and phospholipid metabolisms. Acetate and lactate have been used as buffers for peritoneal dialysis (PD) fluids since the beginning of PD history. Acetate was abandoned when it was suspected of causing peritoneal membrane sclerosis (1). Lactate is now the only commonly used buffer and no major clinical adverse events related to its use have been reported in continuous ambulatory peritoneal dialysis (CAPD) patients since the introduction of PD in clinical practice. However, in the last decade, several investigations have pointed out that the standard lactate-buffered CAPD solution is not able to fully correct the metabolic acidosis of patients (see reference 2 for review). In addition, experimental in vitro studies have demonstrated that the high lactate content in standard solutions combined with the low pH of the solution have detrimental effects on peritoneal resident cells and their functions (see reference 3 for review). Some investigators have pointed out other potential metabolic side effects due to the unphysiologically high lactate flux into the body (4). These metabolic effects, however, are very difficult to demonstrate in a clinical setting, and it was denied that they have a clinical prominence.
Solution-Focused Brief Therapy With Persons With Intellectual Disabilities

Solution-Focused Brief Therapy (SFBT) is a short-term, goal-focused, and client-directed therapeutic approach that helps the client construct solutions rather than dwell on problems. SFBT has rarely been used with clients with intellectual disabilities (ID). The authors discuss how this relatively new form of therapy in an adapted form can be made suitable for clients with ID. The assumptions of this therapeutic approach, the types of problems and settings addressed by SFBT, and a description of the interventions used in SFBT are considered. Indications and contraindications for SFBT and empirical data on the effectiveness of the therapy are discussed both with regard to clients with or absent ID. The authors suggest that tailoring SFBT to clients with ID can be done by using simple language, modified interventions, and inserting other adaptations into the therapy process. In practice, even though clinical practice experience with SFBT has shown great promise, empirical research into SFBT applications with clients with ID is lacking. Research is thus needed to demonstrate whether SFBT with this target group can yield sufficiently effective results and to what extent SFBT is valued by clients and their carers.
Individual variables with an impact on knowledge sharing: the critical role of employees' ignorance

Purpose – The purpose of this paper is to identify individual variables with an impact on knowledge sharing and explore the under-discussed construct of employees’ ignorance. This can enhance the knowledge-sharing process and facilitate the development of greater intellectual capital. Design/methodology/approach – Eighty-four dependent variables affecting knowledge sharing are analyzed and classified into 11 categories. In addition, the direct effect of employees’ ignorance on knowledge sharing is introduced and empirically investigated in a case study of a multinational organization operating within the aerospace and defense industry. Findings – The findings suggest that employees’ ignorance may negatively affect their intention to share knowledge, thus leading to poor decision-making and communication in organizations. Employees’ ignorance could also limit the organizational ability to repel external threats, implement innovation and manage future risks. Originality/value – A classification scheme based.
Activation-induced cytidine deaminase action is strongly stimulated by mutations of the THO complex

Activation-induced cytidine deaminase (AID) is a B cell enzyme essential for Ig somatic hypermutation and class switch recombination. AID acts on ssDNA, and switch regions of Ig genes, a target of AID, form R-loops that contain ssDNA. Nevertheless, how AID action is specifically targeted to particular DNA sequences is not clear. Because mutations altering cotranscriptional messenger ribonucleoprotein (mRNP) formation such as those in THO/TREX in yeast promote R-loops, we investigated whether the cotranscriptional assembly of mRNPs could affect AID targeting. Here we show that AID action is transcription-dependent in yeast and that strong and transcription-dependent hypermutation and hyperrecombination are induced by AID if cells are deprived of THO. In these strains AID-induced mutations occurred preferentially at WRC motifs in the nontranscribed DNA strand. We propose that a suboptimal cotranscriptional mRNP assembly at particular DNA regions could play an important role in Ig diversification and genome dynamics.
Hawk: Hybrid Datacenter Scheduling

This paper addresses the problem of efficient scheduling of large clusters under high load and heterogeneous workloads. A heterogeneous workload typically consists of many short jobs and a small number of large jobs that consume the bulk of the cluster's resources. Recent work advocates distributed scheduling to overcome the limitations of centralized schedulers for large clusters with many competing jobs. Such distributed schedulers are inherently scalable, but may make poor scheduling decisions because of limited visibility into the overall resource usage in the cluster. In particular, we demonstrate that under high load, short jobs can fare poorly with such a distributed scheduler. We propose instead a new hybrid centralized/ distributed scheduler, called Hawk. In Hawk, long jobs are scheduled using a centralized scheduler, while short ones are scheduled in a fully distributed way. Moreover, a small portion of the cluster is reserved for the use of short jobs. In order to compensate for the occasional poor decisions made by the distributed scheduler, we propose a novel and efficient randomized work-stealing algorithm. We evaluate Hawk using a trace-driven simulation and a prototype implementation in Spark. In particular, using a Google trace, we show that under high load, compared to the purely distributed Sparrow scheduler, Hawk improves the 50th and 90th percentile runtimes by 80% and 90% for short jobs and by 35% and 10% for long jobs, respectively. Measurements of a prototype implementation using Spark on a 100-node cluster confirm the results of the simulation.
Constructing Social Reality in Organizational Decision Making

Communication during organizational decision making has often been treated as information exchange, and when social constructionist orientations have been assumed, these have focused on communication related to decision making rather than on talk during decision-making interactions. Shotter’s rhetorical-responsive social constructionist approach is applied to analyzing a faculty senate’s discussion on whether or not to implement a culture and ethnic diversity requirement. This study examines decision-making talk and how, during decision making, participants socially construct a diversity requirement. The vocabularies of diversity and requirement function to define the resolution and allow faculty to demonstrate accountability in different ways. The meanings of these vocabularies are discursively negotiated during decision making; this process reveals competing vocabularies and ambiguity. The conflict over the diversity requirement was resolved through a substitute resolution that reaffirmed the nature of the university as an institutional organization through the vocabulary of good faith. This study shows how decision-making talk constitutes organizations.
Rethinking law in neofunctionalist theory

Abstract Haas's original neofunctionalist theory did not give express consideration to the role of law in the integration process. However, neofunctionalism had an intuitive resonance for legal scholars who generally assumed that law played an important part in advancing European integration. Political science scholarship which has addressed the role of law, on the other hand, has usually either (e.g. in neorealist accounts) taken law to be a functional tool serving the political process, or (e.g. in neofunctionalist analyses) examined only a limited dimension of law, focusing primarily on courts and on legal rather than political integration. However, a promising research agenda on the dynamics of European integration – examples of which, building on Haas's work, have recently begun to appear – could develop if legal scholars paid more attention to the empirical methodologies and explanatory theories of political science, and if political scientists adopted a less reductionist and more nuanced account of law.
Locomotion modes for a hybrid wheeled-leg planetary rover

This paper introduces locomotion modes for the planetary rover Sherpa1. The rover's locomotion system consists of four wheeled-legs, each providing a total of six degrees of freedom. The design of the active suspension system allows a wide range of posture and drive modes for the rover. Self-locking gears in the suspension system allow to maintain the body height without the need of actively driving the actuators. Thus, energy-efficient wheeled locomotion and at the same time high flexibility in ground adaption and obstacle negotiation are possible, as well as high payload capabilities. Furthermore, the rover will be equipped with a manipulator arm explicitly designed to be used for locomotion support. Thus, all degrees of freedom of the system can be used to enhance the locomotive capabilities. This paper gives an overview of the mechanical design of the rover, kinematic considerations for movement constraints on the wheel contact points are presented. Based on these constraints, the wheel motions due to the commanded velocities of the platform can be calculated, taking into account the flexible posture of the rover. A first set of possible locomotion modes for the rover is presented in this paper as well.
Angiotensin type 2 receptor in hypertensive cardiovascular disease

Purpose of reviewThe renin angiotensin system plays a key role in the development of hypertension-induced cardiovascular remodeling and cardiovascular damage. Angiotensin II (Ang II) exerts its effects by acting on two distinct subtypes of receptor, the angiotensin type 1 receptor (AT1R) and the angiotensin type 2 receptor (AT2R). Whereas AT1R mediates most of the recognized actions of Ang II, it appears that AT2R opposes, in part, the actions mediated by AT1R. As the AT2R is expressed in adult tissues in smaller numbers than AT1R, the actions and cell signaling of AT2R have been less well characterized than those of AT1R. Recent findingsCurrent knowledge suggests that AT2R stimulation mediates vasodilation, antigrowth, proapoptotic and antiinflammatory effects. Hence, AT2R can modulate cardiovascular remodeling as well as the progression of atherosclerosis. A protective role of AT2R in the cardiovascular system has been also documented in humans, mainly during chronic AT1R inhibition. Furthermore, a new nonpeptide AT2R agonist has been developed, with potential future therapeutic applications in hypertensive conditions. SummaryThis article reviews the role of AT2R expression signaling and function in the pathogenesis of the functional and structural alterations induced by hypertension on the cardiovascular system.
New Understanding of the Bethe Approximation and the Replica Method

In this thesis, new generalizations of the Bethe approximation and new understanding of the replica method are proposed. The Bethe approximation is an efficient approximation for graphical models, which gives an asymptotically accurate estimate of the partition function for many graphical models. The Bethe approximation explains the well-known message passing algorithm, belief propagation, which is exact for tree graphical models. It is also known that the cluster variational method gives the generalized Bethe approximation, called the Kikuchi approximation, yielding the generalized belief propagation. In the thesis, a new series of generalization of the Bethe approximation is proposed, which is named the asymptotic Bethe approximation. The asymptotic Bethe approximation is derived from the characterization of the Bethe free energy using graph covers, which was recently obtained by Vontobel. The asymptotic Bethe approximation can be expressed in terms of the edge zeta function by using Watanabe and Fukumizu's result about the Hessian of the Bethe entropy. The asymptotic Bethe approximation is confirmed to be better than the conventional Bethe approximation on some conditions. For this purpose, Chertkov and Chernyak's loop calculus formula is employed, which shows that the error of the Bethe approximation can be expressed as a sum of weights corresponding to generalized loops, and generalized for non-binary finite alphabets by using concepts of information geometry.
Discrepancy distances and scenario reduction in two-stage stochastic mixed-integer programming

Polyhedral discrepancies are relevant for the quantitative stability of mixed-integer two-stage and chance constrained stochastic programs. We study the problem of optimal scenario reduction for a discrete probability distribution with respect to certain polyhedral discrepancies and develop algorithms for determining the optimally reduced distribution approximately. Encouraging numerical experience for optimal scenario reduction is provided.
A fuzzy logic based Parkinson's Disease risk predictor

With the world population aging rapidly, improving the quality of life for senior citizens has become an important societal issue. Parkinson's Disease (PD) is one of the most debilitating neuro-degenerative disorders that seriously affect the seniors' quality of life. In recent years, video games have been shown to be a viable way through which partial rehabilitation for PD can be carried out in a fun and low cost manner. Earlier research has shown that both patients' physical and mental conditions can be improved by playing video games. However, so far, the available games developed for PD are mostly intended for rehabilitation purposes. PD diagnosis still depends on the traditional neurological exams and experience of doctors, which require the patients to become self-aware of the symptoms and are usually too late for the patients to delay the progression of PD. To support the early detection of PD symptoms, we propose a fuzzy logic based PD risk predictor that has been implemented in a tablet game platform. The player's behavior data in the game environment are captured unobtrusively and analyzed in real-time. The player's current risk of developing PD is estimated using the proposed fuzzy logic based approach, which will help the player to be aware of high risk of having PD at an earlier stage. A pilot evaluation has been conducted to demonstrate the effectiveness of the proposed approach.
Results on Range Image Segmentation for Service Robots

This paper presents an experimental evaluation of a plane extraction method using various line extraction algorithms. Four different algorithms are chosen, which are well known in mobile robotics and computer vision. Experiments are performed on two sets of 25 range images either obtained by simulation or acquired by a proprietary 3D laser scanner. The performance of the range image segmentation is measured in terms of an average segment classification ratio. Moreover, the speed of the method is measured to conclude on the suitability for service robot applications.
Slow rehydration for detection of Salmonella spp. in feeds and feed ingredients

Rehydration and equilibration (4 h) of feeds and feed ingredients at water/sample ratios (vol/wt) of 1.4 to 3.2 did not markedly increase recovery of Salmonella spp. in the slurry when analyzed by standard cultural and direct enrichment methods. Of 143 naturally contaminated samples examined, equilibration increased levels of detection from 106 to 109 positive samples by the standard cultural method and from 103 to 112 by direct enrichment. Results suggest that nonhomogeneous distribution of low incident numbers of salmonellae in test samples rather than an equilibration-dependent response provided for the observed heterogeneity in recovery patterns. The novel equilibration approach is of limited application and requires validation on an individual food basis.
Audio surveillance using a bag of aural words classifier

In this paper we propose a novel approach for the audio-based detection of events. The approach adopts the bag of words paradigm, and has two main advantages over other techniques present in the literature: the ability to automatically adapt (through a learning phase) to both short, impulsive sounds and long, sustained ones, and the ability to work in noisy environments where the sounds of interest are superimposed to background sounds possibly having similar characteristics. The proposed method has been experimentally validated on a large database of sounds, including several kinds of background noise, which are superimposed to the sounds to be recognized. The obtained performance has been compared with the results of another audio event detection algorithm from the literature, showing a significant improvement.
Advantages and Disadvantages of Internet Research Surveys: Evidence from the Literature

E-mail and World Wide Web surveys have been the subject of much hyperbole about their capabilities as well as some criticism of their limitations. In this report, the authors examine what is known and not known about the use of the Internet for surveying. Specifically, they consider evidence in the literature regarding response rates, timeliness, data quality, and cost. Using this evidence, the authors evaluate popular claims that Internet-based surveys can be conducted more quickly, effectively, cheaply, and/or easily than surveys conducted via conventional modes. They find that the realities of cost and speed often do not live up to the hype. Nonetheless, it is possible to implement Internet-based surveys in ways that are effective and cost-efficient. The authors conclude that the Internet will continue to grow in importance for conducting certain types of research surveys
Antihyperlipidemic effect of active principle isolated from seed of Eugenia jambolana on alloxan-induced diabetic rabbits.

Diabetes is accompanied by lipid abnormalities, which contribute significantly to cardiovascular morbidity and mortality in diabetic patients. We previously demonstrated the potent antihyperglycemic activity of the active principle (fraction II from Sephadex LH 20 chromatography [LH II]) isolated from ethanolic seed extract of Eugenia jambolana in diabetic rabbits. In the present study, the efficacy of LH II was evaluated for its hypolipidemic activity in alloxan-induced mildly diabetic (MD) and severely diabetic (SD) rabbits. Phytochemical investigation of LH II by various structural spectra showed the presence of saturated fatty acid, Δ(5) lipid, and sterol. Oral administration of LH II (10 mg/kg of body weight) for 21 days resulted in improved glycemic control in both MD and SD rabbits. After treatment with LH II, serum total cholesterol, triglycerides, high-density lipoprotein cholesterol, and the total cholesterol/high-density lipoprotein cholesterol ratio were significantly improved. LH II also resulted in significant (P < .001) improvement in 3-hydroxy-3-methylglutaryl-coenzyme A reductase activity and levels of total lipids and glycogen in both MD and SD rabbits. Thus, the present study demonstrates that LH II possesses potent hypolipidemic activity and efficacy in both MD and SD rabbits.