Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Adaptive Design Methodology for Minimum Leakage Power Considering PVT Variations on Nanoscale VLSI Systems

This paper proposes a novel design method to minimize the leakage power during standby mode using a novel adaptive supply voltage and body-bias voltage generating technique for nanoscale VLSI systems. The process, voltage, and temperature (PVT) variations are monitored and controlled independently by their own dedicated systems. The minimum level of V DD and the optimum body-bias voltage are generated for different temperature and process conditions adaptively using a lookup table method based on the PVT monitoring and controlling systems. The power supply variations is accurately compensated adaptively through the monitoring circuits based on the propagation delay change of the inverter chains. The subthreshold current as well as gate-tunneling and band-to-band-tunneling currents are monitored and minimized adaptively by the optimally generated body-bias voltage. The proposed design method reduces the leakage power at least by 500 times for ISCAS'85 benchmark circuits designed using 32-nm CMOS technology comparing to the case where the method is not applied.
Single‐cell measurement of the uptake, intratumoral distribution and cell cycle effects of cisplatin using mass cytometry

Although of fundamental importance to the treatment of cancer patients, the quantitative study of drug distribution and action in vivo at the single cell level is challenging. We used the recently‐developed technique of mass cytometry to measure cisplatin uptake into individual tumor cells (Pt atoms/cell), combined with measurement of the rate of IdU incorporation into DNA (I127 atoms/cell/min) and tumor hypoxia identified by the 2‐nitroimidazole EF5 in cisplatin‐treated BxPC‐3 and ME‐180 xenografts. Pt levels of 105 to 106 atoms/cell were obtained following a single cisplatin treatment using clinically relevant doses. Cisplatin caused cell cycle arrest in a dose‐ and time‐dependent manner that paralleled effects in vitro, and it readily penetrated into hypoxic tumor regions. Similar levels of Pt/cell were found in xenografts treated with oxaliplatin. Mass cytometry offers the unique capability to study the cellular uptake and anticancer effects of platinum‐containing drugs at the single cell level in animal models, and it has the potential for application to samples obtained from cancer patients during treatment.
An implicit-based haptic rendering technique

We present a novel haptic rendering technique. Building on previous work, we propose a haptic model based on a volumetric description of the geometry of an object. Unlike previous volumetric approaches, we also find a virtual contact point on the surface in order to derive a penalty force that is consistent with the real geometry of the object, without introducing force discontinuity. We also demonstrate that other surface properties such as friction and texture can be added elegantly. The resulting technique is fast (a constant 1000 Hz refresh rate) and can handle large geometry models on low-end computers.
Homography estimation on the Special Linear group based on direct point correspondence

This paper considers the question of obtaining a high quality estimate of a time-varying sequence of image homographies using point correspondences from an image sequence without requiring explicit computation of the individual homographies between any two given images. The approach uses the representation of a homography as an element of the Special Linear group and defines a nonlinear observer directly on this structure. We assume, either that the group velocity of the homography sequence is known, or more realistically, that the homographies are generated by rigid-body motion of a camera viewing a planar surface, and that the angular velocity of the camera is known.
Gait trajectory generation for a five link bipedal robot based on a reduced dynamical model

In this paper, a simple trajectory generation method for biped walking is proposed. The dynamic model of the five link bipedal robot is first reduced using several biologically inspired assumptions. A sinusoidal curve is then imposed to the ankle of the swing leg's trajectory. The reduced model is finally obtained and solved: it is an homogeneous 2nd order differential equations with constant coefficients. The algebraic solution obtained ensures a stable rhythmic gait for the bipedal robot. It's continuous in the defined time interval, easy to implement when the boundary conditions are well defined.
21st Century Learning Skills Predictive Model Using PART Algorithm

The skillset of a graduate is the key to success to perform successfully in their chosen career path, thus, academic institution continuously develops strategic ways to develop and prepare the 21st century Learning skills of the student before they completed the higher education studies. This paper presents the 21st Century Learning Predictive Model in Programming Logic Formulation using PART classifier algorithm. It also aims to determine the significant attributes in the development of dataset for predictive model and generate a predictive model for 21st Century Learning Skills using PART classifier algorithm. Six (6) standardized questionnaire of 21st Century Learning Skills of one hundred eight (180) students were coded and used as a dataset of the study. The result of the customized assessment exam in programming logic formulation was used as response attributes of the datasets. As a result of the study, five (5) rules were generated using PART classifier algorithm. Among the 21st Century Learning skills, Communication is the strongest predicting attributes of successful performance of students in programming logic formulation.
Emotion Work in Experience-Centred Design

Experience Centred Design (ECD) implores us to develop empathic relationships and understanding of participants, to actively work with our senses and emotions within the design process. However, theories of experience-centred design do little to account for emotion work undertaken by design researchers when doing this. As a consequence, how a design researcher’s emotions are experienced, navigated and used as part of an ECD process are rarely published. So, while emotion is clearly a tool that we use, we don’t share with one another how, why and when it gets used. This has a limiting effect on how we understand design processes, and opportunities for training. Here, we share some of our experiences of working with ECD. We analyse these using Hochschild’s framework of emotion work to show how and where this work occurs. We use our analysis to question current ECD practices and provoke debate.
Research on DoS Atomic Attack Oriented to Attack Resistance Test

As denial of service (DoS) attack incidents appear frequently, DoS attack has become a serious threat to the network security. Plenty of application servers and network facilities may suffer from DoS attack. In this case, the DoS attack resistance ability of the servers and facilities draws more and more attention. DoS Attack Resistance Test is a kind of security test which evaluates the anti-DoS ability of the servers and network facilities by means of implementing actual DoS attacks against the testing object. It has the advantages of directness, trustiness, and effectiveness. DoS Attack Resistance Test needs to launch lots of different DoS attacks towards the object system. The realization and implementation of different kinds of DoS attack is a main problem to be studied in DoS Attack Resistance Test. The concepts of atomic attack and attack behavior are proposed in this paper to describe the composition and structure of the DoS attacks. Based on the concept of atomic attack, we analyze 80 DoS attack programs and scripts which are chosen extensively and elaborately. According to the analysis, the DoS atomic attacks are presented and classified. Furthermore, the statistic information of the DoS atomic attacks in the DoS programs and scripts we analyzed is given. In the end, two DoS attack examples are constructed using the DoS atomic attacks proposed in this paper. The examples can prove that the construction method based on atomic attack is effective and useful in the realization of attacks for the purpose of DoS Attack Resistance Test.
Caribbean Growth in an International Perspective: The Role of Tourism and Size

After earlier success, growth performance in most Caribbean countries has been disappointing since the early 1990s. With slower growth, output has fallen behind that of relevant comparator countries. This paper analyzes the growth experience of the Caribbean countries from a cross country perspective. Three findings stand out. First, the slowdown in growth is explained more by a decline in productivity rather than a lack of investment. Second, tourism has been a significant contributor to higher growth (through both capital accumulation and productivity) and lower output volatility, and in many countries there is scope for further expansion of this sector. Third, the small size and the fact that most of these countries are islands have limited growth. Policies aimed at improving productivity, further development of the tourism sector, and regional integration could pay dividends in terms of higher growth in the region.
Large Scale Artificial Neural Network Training Using Multi-GPUs

This paper describes a method for accelerating large scale Artificial Neural Networks (ANN) training using multi-GPUs by reducing the forward and backward passes to matrix multiplication. We propose an out-of-core multi-GPU matrix multiplication and integrate the algorithm with the ANN training. The experiments demonstrate that our matrix multiplication algorithm achieves linear speedup on multiple inhomogeneous GPUs. The full paper of this project can be found at [1].
Discriminative features of type I and type III secreted proteins from Gram-negative bacteria

The amino acid composition of sequences and structural attributes (α-helices, β-sheets) of C-and N-terminal fragments (50 amino acids) were compared to annotated (SWISS-PROT/ TrEMBL) type I (20 sequences) and type III (22 sequences) secreted proteins of Gram-negative bacteria.The discriminant analysis together with the stepwise forward and backward selection of variables revealed the frequencies of the residues Arg, Glu, Gly, Ile, Met, Pro, Ser, Tyr, Val as a set of strong (1-P < 0.001) predictor variables to discriminate between the sequences of type I and type III secreted proteins with a cross-validated accuracy of 98.6–100 %. The internal and external validity of discriminant analysis was confirmed by multiple (15 repeats) test-retest procedures using a randomly split original set of proteins; this validation method demonstrated an accuracy of 100 % for 191 non-selected (retest) sequences.The discriminant analysis was also applied using selected variables from the propensities for β-sheets and polarity of C-terminal fragments. This approach produced the next highest and comparable cross-validated classification accuracy for randomly selected and retest proteins (85.4–86.0 % and 82.4–84.5 %, respectively). The proposed sets of predictor variables could be used to assess the compatibility between secretion substrates and secretion pathways of Gram-negative bacteria by means of discriminant analysis.
Validated model for prediction of recurrent hepatocellular carcinoma after liver transplantation in Asian population

BACKGROUND Liver transplantation (LT) is regarded as the best treatment for both primary and recurrent hepatocellular carcinoma (HCC). Post-transplant HCC recurrence rate is relatively low but significant, ranging from 10%-30% according to different series. When recurrence happens, it is usually extrahepatic and associated with poor prognosis. A predictive model that allows patient stratification according to recurrence risk can help to individualize post-transplant surveillance protocol and guidance of the use of anti-tumor immunosuppressive agents. AIM To develop a scoring system to predict HCC recurrence after LT in an Asian population. METHODS Consecutive patients having LT for HCC from 1995 to 2016 at our hospital were recruited. They were randomized into the training set and the validation set in a 60:40 ratio. Multivariable Cox regression model was used to identity factors associated with HCC recurrence. A risk score was assigned to each factor according to the odds ratio. Accuracy of the score was assessed by the area under the receiver operating characteristic curve. RESULTS In total, 330 patients were eligible for analysis (183 in training and 147 in validation). Recurrent HCC developed in 14.2% of them. The median follow-up duration was 65.6 mo. The 5-year disease-free and overall survival rates were 78% and 80%, respectively. On multivariate analysis, alpha-fetoprotein > 400 ng/mL [P = 0.012, hazard ratio (HR) 2.92], sum of maximum tumor size and number (P = 0.013, HR 1.15), and salvage LT (P = 0.033, HR 2.08) were found to be independent factors for disease-free survival. A risk score was calculated for each patient with good discriminatory power (c-stat 0.748 and 0.85, respectively, in the training and validation sets). With the derived scores, patients were classified into low- (0–9), moderate- (> 9–14), and high-risk groups (> 14), and the risk of HCC recurrence in the training and validation sets was 10%, 20%, 54% (c-stat 0.67) and 4%, 22%, 62% (c-stat 0.811), accordingly. The risk stratification model was validated with chi-squared goodness-of-fit test (P = 0.425). CONCLUSION A validated predictive model featuring alpha-fetoprotein, salvage LT, and the sum of largest tumor diameter and total number of tumor nodule provides simple and reliable guidance for individualizing postoperative surveillance strategy.
C4.5 competence map: a phase transition-inspired approach

How to determine a priori whether a learning algorithm is suited to a learning problem instance is a major scientific and technological challenge. A first step toward this goal, inspired by the Phase Transition (PT) paradigm developed in the Constraint Satisfaction domain, is presented in this paper.Based on the PT paradigm, extensive and principled experiments allow for constructing the Competence Map associated to a learning algorithm, describing the regions where this algorithm on average fails or succeeds. The approach is illustrated on the long and widely used C4.5 algorithm. A non trivial failure region in the landscape of k-term DNF languages is observed and some interpretations are offered for the experimental results.
Mechanism of action of cytochalasin: evidence that it binds to actin filament ends

To test the idea that cytochalasin retards actin assembly by binding to filament ends, we have designed a new assay for cytochalasin binding in which the number of filament ends can be varied independently of the total actin concentration. Actin is reacted with polylysine-coated polystyrene beads to make filament ends (Brown and Spudich, 1979, J. Cell Biol. 80:499-504) and then reacted with [3H]cytochalasin B. We have found that cytochalasin B binds to beads in the presence of actin, and that the number of cytochalasin B binding sites can be varied as a function of the number of filament ends independent of the total actin concentration by varying the bead concentration.
Evaluation of SQL Injection Detection and Prevention Techniques

Database driven web application are threaten by SQL Injection Attacks (SQLIAs) because this type of attack can compromise confidentiality and integrity of information in databases. Actually, an attacker intrudes to the web application database and consequently, access to data. For stopping this type of attack different approaches have been proposed by researchers but they are not enough because usually they have limitations. Indeed, some of these approaches have not implemented yet and also most of implemented approaches cannot stop all type of attacks. In this paper all type of SQL injection attack and also different approaches which can detect or prevent them are presented. Finally we evaluate these approaches against all types of SQL injection attacks and deployment requirements.
Clinical Utility of a Commercial LAM-ELISA Assay for TB Diagnosis in HIV-Infected Patients Using Urine and Sputum Samples

Background The accurate diagnosis of TB in HIV-infected patients, particularly with advanced immunosuppression, is difficult. Recent studies indicate that a lipoarabinomannan (LAM) assay (Clearview-TB®-ELISA) may have some utility for the diagnosis of TB in HIV-infected patients; however, the precise subgroup that may benefit from this technology requires clarification. The utility of LAM in sputum samples has, hitherto, not been evaluated. Methods LAM was measured in sputum and urine samples obtained from 500 consecutively recruited ambulant patients, with suspected TB, from 2 primary care clinics in South Africa. Culture positivity for M. tuberculosis was used as the reference standard for TB diagnosis. Results Of 440 evaluable patients 120/387 (31%) were HIV-infected. Urine-LAM positivity was associated with HIV positivity (p = 0.007) and test sensitivity, although low, was significantly higher in HIV-infected compared to uninfected patients (21% versus 6%; p<0.001), and also in HIV-infected participants with a CD4 <200 versus >200 cells/mm3 (37% versus 0%; p = 0.003). Urine-LAM remained highly specific in all 3 subgroups (95%–100%). 25% of smear-negative but culture-positive HIV-infected patients with a CD4 <200 cells/mm3 were positive for urine-LAM. Sputum-LAM had good sensitivity (86%) but poor specificity (15%) likely due to test cross-reactivity with several mouth-residing organisms including actinomycetes and nocardia species. Conclusions These preliminary data indicate that in a high burden primary care setting the diagnostic usefulness of urine-LAM is limited, as a rule-in test, to a specific patient subgroup i.e. smear-negative HIV-infected TB patients with a CD4 count <200 cells/mm3, who would otherwise have required further investigation. However, even in this group sensitivity was modest. Future and adequately powered studies in a primary care setting should now specifically target patients with suspected TB who have advanced HIV infection.
Training to improve resilience and coping to monitor PTSD in rescue workers

Summary Background Few studies focus on the role training has on rescue workers who are active as volunteers or actual workers in emergency situations such as an earthquake. In October 2016, a strong earthquake hit Central Italy and in particular the province of Macerata in the Marche region. Lots of rescuers were called to deal with the emergency. The aim of this study was, therefore, to examine their preparation, studying resilience and coping strategies, as these qualities can protect against complications brought on by traumatic situations (post traumatic stress disorder). Study design An observational study on 70 rescue workers who active in the area affected by the disaster within the province of Macerata was carried out. Materials and methods The questionnaire proposed by the Coping Inventory for Stressful situations (CISS) was used, while individual resilience levels were measured with the Resilience Scale. Both methods were employed in two separate interviews conducted before and after their intervention in the disaster area. To verify a possible difference between the resilience and coping values before and after the activity of rescue effort, the paired Student t test was applied. Results The sample showed medium to high levels of coping (91.6%) and resilience (89.6%) were present in both interviews and not significant statistical differences was observed for the resilience (among females t = 1.63, p-value = 0.179, and among males (t = -0.76; p-value = 0.487). In contrast, CISS scores before and after the rescue effort showed significant statistical differences both among females (t = 4.81; p-value = 0.009) and males (t = 10.06; p-value = 0.001). Some areas relative to coping mechanisms, such as social avoidance and distraction are preferred by women, while men prefer avoidance and task-oriented activity. Results for resilience show a slight difference for perseverance in men. Conclusions The ability to use mechanisms of self-preservation like coping and resilience helps rescue workers to better respond in emergency situations. Surely one of the most appropriate ways to reach this result is provided by their preparation.
Design and evaluation of a feedback control EDF scheduling algorithm

Despite the significant body of results in real-time scheduling, many real world problems are not easily supported. While algorithms such as Earliest Deadline First, Rate Monotonic, and the Spring scheduling algorithm can support sophisticated task set characteristics (such as deadlines, precedence constraints, shared resources, jitter etc.), they are all "open loop" scheduling algorithms. Open loop refers to the fact that once schedules are created they are not "adjusted" based on continuous feedback. While open-loop scheduling algorithms can perform well in static or dynamic systems in which the workloads can be accurately modeled, they can perform poorly in unpredictable dynamic systems. In this paper, we present a feedback control real-time scheduling algorithm and its evaluation. Performance results demonstrate the effectiveness of the algorithm when execution times vary from the worst case and when there are major shifts of total load in the system. A key part of this feedback solution is its explicit use of deadline based metrics.
HAX1 mutations causing severe congenital neuropenia and neurological disease lead to cerebral microstructural abnormalities documented by quantitative MRI

Biallelic mutations in the gene encoding HCLS‐associated protein X‐1 (HAX1) cause autosomal recessive severe congenital neutropenia (SCN). Some of these patients have neurological abnormalities including developmental delay, cognitive impairment, and/or epilepsy. Recent genotype–phenotype studies have shown that mutations in HAX1 affecting transcripts A (NM_006118.3) and B (NM_001018837.1) cause the phenotype of SCN with neurological impairment, while mutations affecting isoform A but not B lead to SCN without neurological aberrations. In this study, we identified a consanguineous family with two patients suffering from SCN and neurological disease caused by a novel, homozygous genomic deletion including exons 4–7 of the HAX1 gene. Quantitative MRI analyses showed generalized alterations in cerebral proton density in both of the patients, as well as in an additional unrelated patient with another HAX1 mutation (Arg86X) known to be associated with neurological manifestations. This study provides first in vivo evidence of aberrant neuroimaging findings associated with HAX1 deficiency in SCN patients. © 2010 Wiley‐Liss, Inc.
The regulatory chain in the p36‐kd substrate complex of viral tyrosine‐specific protein kinases is related in sequence to the S‐100 protein of glial cells.

The major cytoplasmic target of various tyrosine‐specific protein kinases is a 36‐kd protein (p36). This protein can exist as a monomer or as a complex with a small subunit which seems to have a regulatory function. Amino acid sequence analysis of the small subunit from porcine intestine documents a unique polypeptide of 95 residues with a calculated mol. wt. close to 11 kd (p11). Since an immunologically related subunit of the same electrophoretic mobility is also found in the corresponding complex of chicken intestine p11 is well conserved across species. Unexpectedly, the sequence of p11 shows a high homology with the glia‐specific protein S‐100 whose biological function is not known. Although both proteins are dimers of rather small polypeptides we have not been able to detect in our preparations of p11 the moderate Ca2+ binding known for S‐100. Certain implications of this sequence relation are discussed.