Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring the Accuracy Levels Regarding the Dual Business Function Criticality Classifier

This paper illustrates the most recent results regarding the criticality ranking decision support classifier for an individual business function. The validated classifier is part of the business continuity points approach which estimates the recovery complexity of an individual business function and is based on the use case points method for estimating the software complexity. The business continuity points method is utilized in order to estimate specific recovery complexity parameters of a given business function. A part of the approach concerns the business function criticality ranking which is based on the recovery complexity parameters. In this paper, we measure the accuracy in the criticality ranking classifier by comparing results between the speedy and the detailed criticality ranking of a business function. The measurement is performed via the R-Studio software and the confusion matrix technique. The results are based on a learning data set prepared in MS Excel which includes the empirical calculations for constructing the specific classifier.
"I've Got Nothing to Lose": Consumers' Risk Perceptions and Protective Actions after the Equifax Data Breach

Equifax, one of the three major U.S. credit bureaus, experienced a large-scale data breach in 2017. We investigated consumers' mental models of credit bureaus, how they perceive risks from this data breach, whether they took protective measures, and their reasons for inaction through 24 semi-structured interviews. We find that participants' mental models of credit bureaus are incomplete and partially inaccurate. Although many participants were aware of and concerned about the Equifax breach, few knew whether they were affected, and even fewer took protective measures after the breach. We find that this behavior is not primarily influenced by accuracy of mental models or risk awareness, but rather by costs associated with protective measures, optimism bias in estimating one's likelihood of victimization, sources of advice, and a general tendency towards delaying action until harm has occurred. We discuss legal, technical and educational implications and directions towards better protecting consumers in the credit reporting system.
Third Party Initiated WLAN Offloading

Multi-access Edge Computing is an advantageous architecture in support of Internet of Things. The distribution of cloud capabilities in the radio access network enables applications for traffic offloading. Network operator may provide the necessary data management and control functionality for access network discovery and selection, but the user makes the decision and initiates offloading. The present research proposes a method for defining mobile edge service that may be used by third party application to control offloading following a specific policy.
Quantitative Verification of Zeroconf Protocol Based on Stochastic Games

Zeroconf protocol provides a solution to automatic IP address configuration. This paper focuses on quantitative performance analysis of zeroconf protocol. The analysis process contains two phrases: model construction and property verification. Since there exists competition relation among the hosts and their behaviors exhibit stochastic features, it is natural to model zeroconf protocol as turn-based stochastic game. Due to the absence of some necessary details of the original protocol, this paper also makes some assumptions about the model. The successful configuration probability and time cost are the most important concern of this protocol. This paper verifies maximum and minimum successful and unsuccessful configuration probabilities within certain periods. On the other hand, this paper also considers time cost to reach successful configuration. Experiments are performed with the tool PRISM-game which is for modeling and verification of stochastic games. Experimental results show that when the number of host is no more than 40,000, the performance of this protocol tends to be stable and when N is greater than 40,000, both the expected time cost for successful configuration and conflict probability will grow prominently.
Spectrum Efficient D-band Communication Link for Real-time Multi-gigabit Wireless Transmission

Ahstract- This manuscript presents results of wireless realtime data transmission at 143 GHz. The transmitter/receiver (TxlRx) front-end circuitry is integrated on a single monolithic microwave integrated circuits (MMICs), realized in a 250-nm indium phosphide (InP) double heterojunction bipolar transistor (DHBT) technology. The Tx module shows gain of 12 dB at 143 GHz with output power of −2.3 dBm at 1 dB gain compression. The Rx module has a gain of 15 dB with noise figure (NF) of 13 dB at 143 GHz. The minimum NF of 10 dB is measured at 132 GHz. The TxlRx front-end modules were integrated in two radio units to demonstrate a real time wireless data transmission. At a distance of 10 m and using 40 dBi gain antennas, the highest data rate achieved was 5.3 Gbit/s using 64 QAM modulation over a 1 GHz channel with spectrum efficiency of 5bit/slHz.
High Selectivity Filters in Coaxial SIW Based on Singlets and Doublets

The implementation of singlets and doublets in coaxial SIW technology is presented in this paper. The proposed structures are based on the introduction of a direct source/load bypass coupling using end-coupled embedded coplanar lines. The modelling and design of these structures are discussed, and then two prototypes are designed, manufactured and measured, thus showing the validity of the proposed approach and its potential application for implementing highly selective responses in a very compact footprint.
CrowdTruth 2.0: Quality Metrics for Crowdsourcing with Disagreement (short paper)

Typically crowdsourcing-based approaches to gather annotated data use inter-annotator agreement as a measure of quality. However, in many domains, there is ambiguity in the data, as well as a multitude of perspectives of the information examples. In this paper, we present ongoing work into the CrowdTruth metrics, that capture and interpret inter-annotator disagreement in crowdsourcing. The CrowdTruth metrics model the inter-dependency between the three main components of a crowdsourcing system -- worker, input data, and annotation. The goal of the metrics is to capture the degree of ambiguity in each of these three components. The metrics are available online at this https URL .
Disambiguating fine-grained place names from descriptions by clustering

Everyday place descriptions often contain place names of fine-grained features, such as buildings or businesses, that are more difficult to disambiguate than names referring to larger places, for example cities or natural geographic features. Fine-grained places are often significantly more frequent and more similar to each other, and disambiguation heuristics developed for larger places, such as those based on population or containment relationships, are often not applicable in these cases. In this research, we address the disambiguation of fine-grained place names from everyday place descriptions. For this purpose, we evaluate the performance of different existing clustering-based approaches, since clustering approaches require no more knowledge other than the locations of ambiguous place names. We consider not only approaches developed specifically for place name disambiguation, but also clustering algorithms developed for general data mining that could potentially be leveraged. We compare these methods with a novel algorithm, and show that the novel algorithm outperforms the other algorithms in terms of disambiguation precision and distance error over several tested datasets.
Novel ensemble method for the prediction of response to fluvoxamine treatment of obsessive–compulsive disorder

Objective About 30% of obsessive–compulsive disorder (OCD) patients exhibit an inadequate response to pharmacotherapy. The detection of clinical variables associated with treatment response may result in achievement of remission in shorter period, preventing illness development and reducing socioeconomic costs. Methods In total, 330 subjects with OCD diagnosis underwent 12-week pharmacotherapy with fluvoxamine (150–300 mg). Treatment response was ≥25% reduction in Yale-Brown Obsessive–Compulsive Scale (Y-BOCS) score. In total, 36 clinical attributes of 151 subjects who had completed their treatment course were analyzed. Data mining algorithms included missing value handling, feature selection, and new analytical method based on ensemble classification. The results were compared with those of other traditional classification algorithms such as decision tree, support vector machines, k-nearest neighbor, and random forest. Results Sexual and contamination obsessions are high-ranked predictors of resistance to fluvoxamine pharmacotherapy as well as high Y-BOCS obsessive score. Our results showed that the proposed analysis strategy has good ability to distinguish responder and nonresponder patients according to their clinical features with 86% accuracy, 79% sensitivity, and 89% specificity. Conclusion This study proposed an analytical approach which is an accurate and a sensitive method for the analysis of high-dimensional medical data sets containing more number of missing values. The treatment of OCD could be improved by better understanding of the predictors of pharmacotherapy, which may lead to more effective treatment of patients with OCD.
Social Media: An Innovative and Effective Tool for Educational and Research Purposes of the Pharmaceutical and Medical Professionals

“Seek knowledge from the cradle to the grave. ” is one of the first established sayings that means acquiring knowledge is an open end path. The saying “Learn the knowledge, though in China”, means “the pursuit of knowledge is obligatory for any Muslim anywhere”. Todays, students live in social media where they find the instinctual needs to connect with each other. Socializing has been always around in one form or another and the majority of times in the groups of similar harmonious people which different subjects of interests are shared. Media includes the tools and technologies to make connections such as TV, radio, websites, photos, and drawings. More advanced type of media are internet based websites and applications. An educational social network is a group of people who use media for the purpose of learning. The amount of interaction and participation could differ to a great extent among followers and the members of a network. Many of the academic social networking have been approved and established for academic purposes. Members can make profiles, create or join scientific and medical discussion groups and channels, share pictures, audios, voice memos, and videos. Potential of having a profound impact on virtual practices for teaching objectives exists. Social media enables the faculties to facilitate learning for the students to conduct surveys within the members of a group with common goals and/or backgrounds. We are proposing that social media can be benefiting pharmacists or other health care providers in their educational journey.
Metabolic Syndrome among Refugee Women from the West Bank, Palestine: A Cross-Sectional Study

This study was carried out among Palestinian refugee women in the West Bank to provide data on the prevalence of metabolic syndrome (MetS) and its correlates. Data were obtained from a cross-sectional study of 1694 randomly selected refugee women from the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) health centers throughout the West Bank during June and July 2010. In this cohort, 30% of the refugee women were overweight, 39% were obese, and 7% were extremely obese. Based on World Health Organization (WHO) criteria, the age-adjusted prevalence of MetS was 19.8%. The results of the binary logistic regression analysis indicated that older age and younger marital age were significantly associated with an increased likelihood of MetS in the women. The high prevalence of obesity and MetS mandates the implementation of national policies for its prevention, notably by initiating large-scale community intervention programs for 5.2 million refugees in Palestine, Jordan, Lebanon, and Syria, to tackle obesity and increase the age at marriage.
Situational Use of Child Restraint Systems and Carpooling Behaviors in Parents and Caregivers

Suboptimal compliance with child restraint system (CRS) recommendations can increase risk for injury or death in a motor vehicle crash. The purpose of this study was to examine scenarios associated with incomplete CRS use and non-use in children ages 4–10 years. We used a cross-sectional online survey with a convenience sample of parent/caregivers from the United States, age ≥18 years, with a child age 4–10 years in their home, who could read and spoke English, and drove child ≥6 times in previous three months. We used descriptive statistics and Mann-Whitney U to describe and compare the distribution of responses to situational use of CRSs among car seat users and booster seat users. We also used descriptive statistics and the Mann-Whitney U to describe and compare the distribution of responses to carpooling items among booster seat users and non-booster seat users. There were significant differences among those who reported most often using booster seats (n = 282) and car seats (n = 127) in situations involving rental cars, driving just around the corner, car too crowded to fit the CRS, not enough CRSs in the vehicle, the CRS is missing from the car, or the child is in someone else’s car without a CRS (p < 0.05). Among those who reported most often using booster seats and who carpooled other children (n = 159), 71.7% (n = 114) always used a booster seat for their own child. When carpooling other children, booster seat users were significantly more likely to use booster seats for other children ages 4–10 than the non-booster seat users (p < 0.01). Continued education and programs surrounding CRS use is critical, particularly for children who should be in booster seats.
Reply to: Appearances are often deceptive

we have read with great interest the recently published German guideline for somatostatin receptor PET (SSR PET) such as [68Ga]-DOTANOC or [68Ga]-DOTATATE (2). While we agree on most of the proposed recommendations, we doubt the recommendation to pause somatostatin analogues (SSA) such as Sandostatin LAR and Somatuline autogel prior to SSR PET. The traditional theory that these drugs could compete for the same receptor as SSR PET, and thus, reduce its tumor uptake, to our opinion is simplistic and not supported by published evidence. Furthermore, patients might be harmed by discontinuing a proven anti-proliferative drug mitigating NET-related symptoms such as diarrhea or flushing (3, 6). Several examples, such as treatment with Zevalin® in lymphoma, have already proven that pre-medication with a drug binding to the same target as a radiopharmaceutical might even increase its target specific uptake. For the setting of SSA treatment, two studies indeed have shown significantly decreased SSR PET uptake in liver (reduction of 22–24 %) and spleen (reduction of 23–26 %). However, the SSR PET uptake in NET lesions was not reduced at all (change between + 12.5 % and – 1.5 %), resulting in an even higher contrast of tumor lesions within the liver in patients treated with SSA (1, 5). These clinical findings were further underlined by in-vitro experiments. It has been shown that incubation of NET cells with somatostatin increases the binding of [68Ga]-DOTATOC in-vitro (7). In addition, Waser et al. have demonstrated that treatment with short acting SSA indeed caused a rapid internalization of SSR, which was reversible within 24 h (8). However, this effect seems to be evident only in short-time SSA treatment. Exposing NET in-vivo with long-acting SSA for 7 days caused an upregulation of SSR expression on the surface of NET cells (4). In summary, both human and animal studies have proven that treatment with longacting SAA such as Sandostatin LAR and Somatuline autogel does not reduce the binding of SSR-targeting tracers such as [68Ga]-DOTANOC or [68Ga]-DOTATATE. On the contrary, this strategy has the potential to improve diagnosis by increasing SSR expression in NET lesions and at the same time decreasing physiological uptake of organs such as liver and spleen. Consequently, the recommendation to pause SSA prior to SSR PET imaging should be revised. Yours sincerely
Burkitt lymphoma-associated network construction and important network motif analysis

Biological and medical researchers have discovered numerous transcription factors (TFs), microRNAs (miRNAs) and genes associated with Burkitt lymphoma (BL) through individual experiments; however, their regulatory mechanisms remain unclear. In the present study, BL-dysregulated and BL-associated networks were constructed to investigate these mechanisms. All data and regulatory associations were from known data resources and literature. The dysregulated network consisted of dysregulated TFs, miRNAs and genes, and partially determined the pathogenesis mechanisms underlying BL. The BL-associated network consisted of BL-associated TFs, miRNAs and genes. It has been indicated that the network motif consisted of TFs, miRNAs and genes serve potential functions in numerous biological processes within cancer. Two of the most studied network motifs are feedback loop (FBL) and feed-forward loop (FFL). The important network motifs were extracted, including the FBL motif, 3-nodes FFL motif and 4-nodes motif, from BL-dysregulated and BL-associated networks, and 10 types of motifs were identified from BL-associated network. Finally, 26/31 FBL motifs, 45/75 3-nodes FFL motifs and 54/94 4-nodes motifs were obtained from the dysregulated/associated networks. A total of four TFs (E2F1, NFKB1, E2F4 and TCF3) exhibit complicated regulation associations in BL-associated networks. The biological network does not demonstrate the dysregulated status for healthy people. When the individual becomes unwell, their biological network exhibits a dysregulated status. If the dysregulated status is regulated to a normal status by a number of medical methods, the diseases may be treated successfully. BL-dysregulated networks serve important roles in pathogenesis mechanisms underlying BL regulation of the dysregulated network, which may be an effective strategy that contributes to gene therapy for BL.
Robust non-rigid point set registration method based on asymmetric Gaussian and structural feature

Point set registration is a fundamental problem in many domains of computer vision. In previous work on the registration, the point sets are often represented using Gaussian mixture models and the registration process is represented as a form of a probabilistic solution. For non-rigid point set registration, however, the asymmetric Gaussian (AG) model can capture spatially asymmetric distributions compared with symmetric Gaussian, and the structural feature of the point sets reserve relatively complete and has important significance in registration. In this work, the authors designed a new shape context (SC) descriptor which combines the local and global structures of the point set. Meanwhile, they proposed a non-rigid point set registration algorithm which formulates a registration process as the mixture probability density estimation of the AG mixture model, and the method introduce the structural feature by the new SC. Extensive experiments show that the proposed algorithm has a clear improvement over the state-of-the-art methods.
Theoretical study of the Nonlinear Quadratic Optimal Control implementation

Abstract In this brief, I study the finite and infinite nonlinear discrete time optimal control. The quadratic control problem for nonlinear case can be solved with different methods such as: linearization of the system model around each operation point or some different methods, where should be used an on-line parameter identification algorithm. In this paper, I study some properties of these algorithms in order to improve the control efficiency of the nonlinear process control. In this paper, I supposed the all states are accessible, so there is not necessary any state estimation algorithm for the implementation of the proposed optimal control (LQR - Linear Quadratic Regulators) methods.
Non-Invasive Assessment of Local Pulse Wave Velocity as Function of Arterial Pressure

Arterial pressure or flow wave propagation velocity (pulse wave velocity [PWV]) is inherently dependent on arterial elastic characteristics and distending pressure. Assessment of instantaneous variation in PWV over the cardiac cycle can be noninvasively performed using established biomechanical models by measuring arterial pressure and diameter from the same site. In this work, we explore and validate the viability of a bi-modal probe for local evaluation of PWV variation over the cardiac cycle as a function of arterial pressure. The proposed probe employs singleelement ultrasound transducer (for diameter measurement) and tonometric sensor (for pressure measurement) integrated into a custom probe holder. An application-specific measurement system and dedicated algorithms were used for simultaneous assessment of the desired physiological waveforms. The optimized transducer arrangement in the proposed probe allowed reliable capture of high-fidelity pressure and diameter waveforms from a single arterial site. Real-time assessment of variation in local PWV as a function of arterial pressure was validated on 10 human subjects (age = 31 ± 6 years) using the developed prototype system. Local PWV was found to increase during the systolic phase of each cardiac cycle, and exhibits a non-linear relationship with the arterial pressure. Results from the performed pilot study demonstrated that the proposed ultrasound-tonometer based onepoint method could reliably capture the incremental local PWV over continuous cardiac cycles. Simultaneous assessment of instantaneous variation in arterial pressure, diameter and local PWV using the proposed bi-modal probe has the potential to accurately characterize the elastic behavior of arteries.