Miracle-dz/UniFAR-FTUs huggingface dataset:
Anomaly Detection in Computer Networks: A State-of-the-Art Review

The ever-lasting challenge of detecting and mitigating failures in computer networks has become more essential than ever; especially with the enormous number of smart devices that get connected to all sorts of network everyday. Whether the root cause of a given anomaly is a security breach, a component failure, an environmental factor, or even any combination of these reasons, anomalies need to be detected and mitigated timely and properly. In this paper, we review and evaluate the state-of-the-art studies on the problem of anomaly detection in computer networks. We provide an elaborate description of the anomaly detection problem, and depict the different categorizations of its solutions. We also illustrate some recent state-of-the-art solutions on the network level, and depict current trends in handling malware-induced anomalies in smartphone networks. Additionally, we evaluate the presented solutions and highlight their shortcomings.
A New Affine Invariant Image Transform Based on Ridgelets

In this paper we present a new affine invariant image transform, based on ridgelets. The proposed transform is directly applicable to segmented image patches. The new method has some similarities with the previously proposed Multiscale Autoconvolution, but it will offer a more general framework and possibilities for variations. The obtained transform coefficients can be used in affine invariant pattern classification, and as shown in the experiments, already a small subset of them is enough for reliable recognition of complex patterns. The new method is assessed in several experiments and it is observed to perform well under many nonaffine distortions.
Motion warping

We describe a simple technique for editing captured or keyframed animation based on warping of the motion parameter curves. The animator interactively deﬁnes a set of keyframe-like constraints which are used to derive a smooth deformation that preserves the ﬁne structure of the original motion. Motion clips are combined by overlapping and blending of the parameter curves. We show that whole families of realistic motions can be derived from a single captured motion sequence using only a few keyframes to specify the motion warp. Our technique makes it feasible to create libraries of reusable “clip motion. ”
Towards Clinical Molecular Diagnosis of Inherited Cardiac Conditions: A Comparison of Bench-Top Genome DNA Sequencers

Background Molecular genetic testing is recommended for diagnosis of inherited cardiac disease, to guide prognosis and treatment, but access is often limited by cost and availability. Recently introduced high-throughput bench-top DNA sequencing platforms have the potential to overcome these limitations. Methodology/Principal Findings We evaluated two next-generation sequencing (NGS) platforms for molecular diagnostics. The protein-coding regions of six genes associated with inherited arrhythmia syndromes were amplified from 15 human samples using parallelised multiplex PCR (Access Array, Fluidigm), and sequenced on the MiSeq (Illumina) and Ion Torrent PGM (Life Technologies). Overall, 97.9% of the target was sequenced adequately for variant calling on the MiSeq, and 96.8% on the Ion Torrent PGM. Regions missed tended to be of high GC-content, and most were problematic for both platforms. Variant calling was assessed using 107 variants detected using Sanger sequencing: within adequately sequenced regions, variant calling on both platforms was highly accurate (Sensitivity: MiSeq 100%, PGM 99.1%. Positive predictive value: MiSeq 95.9%, PGM 95.5%). At the time of the study the Ion Torrent PGM had a lower capital cost and individual runs were cheaper and faster. The MiSeq had a higher capacity (requiring fewer runs), with reduced hands-on time and simpler laboratory workflows. Both provide significant cost and time savings over conventional methods, even allowing for adjunct Sanger sequencing to validate findings and sequence exons missed by NGS. Conclusions/Significance MiSeq and Ion Torrent PGM both provide accurate variant detection as part of a PCR-based molecular diagnostic workflow, and provide alternative platforms for molecular diagnosis of inherited cardiac conditions. Though there were performance differences at this throughput, platforms differed primarily in terms of cost, scalability, protocol stability and ease of use. Compared with current molecular genetic diagnostic tests for inherited cardiac arrhythmias, these NGS approaches are faster, less expensive, and yet more comprehensive.
Primary Tumor Levels of Human Tissue Kallikreins Affect Surgical Success and Survival in Ovarian Cancer Patients

Purpose: Proteolytic factors of the human tissue kallikrein (hK) family and the plasminogen activation system play a key role in tumor progression in various malignancies. We determined antigen levels of urokinase-type plasminogen activator (uPA), its inhibitor PAI-1, and hK5-8, hK10, hK11, and hK13 by ELISA in primary tumor tissue extracts of 142 International Federation of Gynecology and Obstetrics (FIGO) I to IV ovarian cancer patients (median follow-up 41 months). Results: After radical surgery, absence of macroscopically visible residual tumor (RT) was achieved in 72 patients; all patients received postoperative platinum-containing chemotherapy. Significant univariate predictors of poor progression-free survival (PFS) were RT (>0), FIGO stages (III/IV versus I/II/III), ascites volume >500 mL, nodal status, and the difference between PAI-1 and uPA (fractionally ranked). In multivariate analysis, significant independent factors for poor PFS were RT [hazard ratio (HR), 4.53] and low hK11 fractional rank (HR, 0.30). Univariate predictors of poor overall survival were RT, FIGO stages, nodal status, ascites volume, nuclear grade, and low hK10 and hK13. In multivariate analysis, significant independent factors for poor overall survival were RT (HR, 7.49), ascites (HR, 1.97), and low hK10 (HR, 0.196). We constructed a multivariate scoring model estimating RT probability, based on ascites [odds ratio (OR), 13.1], nuclear grade (OR, 2.92), hK6 (OR, 8.54), and hK13 (OR, 0.14), with good in-sample predictive performance (area under receiver operating characteristic, 0.833). Conclusions: In view of risks and benefits of radical surgery, such a score could support preoperative risk stratification and identify candidates for alternative therapeutic strategies. These results highlight the distinct roles of the hKs for different disease end points in ovarian cancer and their potential to support individualized therapy decisions.
Dynamical resistive switching of a generic memristor model: Analysis and simulation

The memristors was theorized by Leon O. Chua in 1971 as a passive two-terminal electronic device that changes its resistive state depending on the current or voltage history through the device. Since the first fabrication of the memristor by HP Labs in 2008, it has been extensively studied for wide electronic applications. Thus, many SPICE models have been proposed to describe the behavior of memristor. All these models are focused on the pinched hysteresis loop phenomenon, which takes various shape, depending on their different properties. In this paper, we study the dynamical behavior of memristor. We use a simple and flexible SPICE memristor model to demonstrate that this model accounts for four different types of a memristor: the bipolar memristor behavior, the unipolar memristor behavior, the bipolar with forgetting effect and the reversible process between the bipolar and the unipolar behavior.
Clinical Evaluation of a Loop-Mediated Isothermal Amplification (LAMP) Assay for Rapid Detection of Neisseria meningitidis in Cerebrospinal Fluid

Background Neisseria meningitidis (Nm) is a leading causative agent of bacterial meningitis in humans. Traditionally, meningococcal meningitis has been diagnosed by bacterial culture. However, isolation of bacteria from patients’ cerebrospinal fluid (CSF) is time consuming and sometimes yields negative results. Recently, polymerase chain reaction (PCR)-based diagnostic methods of detecting Nm have been considered the gold standard because of their superior sensitivity and specificity compared with culture. In this study, we developed a loop-mediated isothermal amplification (LAMP) method and evaluated its ability to detect Nm in cerebrospinal fluid (CSF). Methodology/Principal Findings We developed a meningococcal LAMP assay (Nm LAMP) that targets the ctrA gene. The primer specificity was validated using 16 strains of N. meningitidis (serogroup A, B, C, D, 29-E, W-135, X, Y, and Z) and 19 non-N. meningitidis species. Within 60 min, the Nm LAMP detected down to ten copies per reaction with sensitivity 1000-fold more than that of conventional PCR. The LAMP assays were evaluated using a set of 1574 randomly selected CSF specimens from children with suspected meningitis collected between 1998 and 2002 in Vietnam, China, and Korea. The LAMP method was shown to be more sensitive than PCR methods for CSF samples (31 CSF samples were positive by LAMP vs. 25 by PCR). The detection rate of the LAMP method was substantially higher than that of the PCR method. In a comparative analysis of the PCR and LAMP assays, the clinical sensitivity, specificity, positive predictive value, and negative predictive value of the LAMP assay were 100%, 99.6%, 80.6%, and 100%, respectively. Conclusions/Significance Compared to PCR, LAMP detected Nm with higher analytical and clinical sensitivity. This sensitive and specific LAMP method offers significant advantages for screening patients on a population basis and for diagnosis in clinical settings.
Connective tissue disease-associated pulmonary arterial hypertension

Although rare in its idiopathic form, pulmonary arterial hypertension (PAH) is not uncommon in association with various associated medical conditions, most notably connective tissue disease (CTD). In particular, it develops in approximately 10% of patients with systemic sclerosis and so these patients are increasingly screened to enable early detection. The response of patients with systemic sclerosis to PAH-specific therapy appears to be worse than in other forms of PAH. Survival in systemic sclerosis-associated PAH is inferior to that observed in idiopathic PAH. Potential reasons for this include differences in age, the nature of the underlying pulmonary vasculopathy and the ability of the right ventricle to cope with increased afterload between patients with systemic sclerosis-associated PAH and idiopathic PAH, while coexisting cardiac and pulmonary disease is common in systemic sclerosis-associated PAH. Other forms of connective tissue-associated PAH have been less well studied, however PAH associated with systemic lupus erythematosus (SLE) has a better prognosis than systemic sclerosis-associated PAH and likely responds to immunosuppression.
Lidocaine attenuates acute lung injury induced by a combination of phospholipase A2 and trypsin

Objective: Acute severe pancreatitis is often associated with acute lung injury, including acute respiratory distress syndrome. Acute lung injury induced by phospholipase A2 (PLA2) or trypsin, a pancreatic enzyme, is an experimental model resembling acute respiratory distress syndrome. Neutrophils and platelets are thought to play a pivotal role in the pathogenesis of acute respiratory failure. Lidocaine inhibits some aspects of neutrophil and platelet functions. We conducted the current study to assess the effects of pretreatment with lidocaine on acute lung injury induced by a combination of PLA2 and trypsin. Design: Prospective, randomized animal study. Setting: University research laboratory. Subjects: Twenty‐one adult male Japanese White rabbits (weight range, 2.0‐2.4 kg). Interventions: The animals were mechanically ventilated with a tidal volume of 10 mL/kg and an FIO2 of 0.4, and thereafter, they were randomly assigned to three groups. Acute lung injury was induced by a combination of PLA2 (1000 units/kg/hr) and trypsin (5000 units/kg/hr) infused intravenously for 4 hrs. Immediately before induction of the acute lung injury, the lidocaine treatment group received intravenous lidocaine (2 mg/kg bolus followed by 2 mg/kg/hr) until they were killed. In the nontreatment group, saline was given instead of lidocaine. Rabbits in the nonlung‐injury group received saline infusion instead of the pancreatic enzymes. Measurements and Main Results: During the experimental period (4 hrs), arterial blood gases, lung mechanics, and peripheral neutrophil and platelet counts were measured. Immediately after killing, the wet weight/dry weight ratio of the lung was recorded. Light microscopic findings (lung injury score and number of neutrophils) were compared between the three groups. The combination of PLA2 and trypsin decreased PaO2, lung compliance, and peripheral counts of neutrophils and platelets and increased alveolar/arterial oxygen tension difference, lung resistance, wet weight/dry weight ratio, and the number of neutrophils in the lung. Lidocaine treatment attenuated these changes. The two pancreatic enzymes caused extensive morphologic lung damage, which was lessened by lidocaine. Conclusions: We conclude that pretreatment with intravenous lidocaine attenuated the lung injury induced by the pancreatic enzymes. However, further studies are required to determine whether this drug has a therapeutic effect once the lung injury has developed.
Feature-based calibration of distributed smart stereo camera networks

A distributed smart camera network is a collective of vision-capable devices with enough processing power to execute algorithms for collaborative vision tasks. A true 3D sensing network applies to a broad range of applications, and local stereo vision capabilities at each node offer the potential for a particularly robust implementation. A novel spatial calibration method for such a network is presented, which obtains pose estimates suitable for collaborative 3D vision in a distributed fashion using two stages of registration on robust 3D features. The method is initially described in a geometrical sense, then presented in a practical implementation using existing vision and registration algorithms. The method is designed independently of networking details, making only a few basic assumptions about the underlying networkpsilas capabilities. Experiments using both software simulations and physical devices are designed and executed to demonstrate performance.
A new 2-D systolic digital filter architecture without global broadcast

In this paper, we propose two-dimensional (2-D) systolic-array infinite-impulse response (IIR) and finite-impulse response (FIR) digital filter architectures without global broadcast, by the hybrid of a modified reordering scheme and a new systolic transformation. This architecture has local broadcast, lower-quantization error, and zero latency without sacrificing the number of multipliers, as well as delay elements under the satisfactory critical period. Furthermore, we extend this new architecture to a useful 2-D systolic cascade-form architecture and provide the comprehensive error analysis for the proposed architectures.
Monthly and Seasonal Variation in Parasuicide

In a total of 22 169 parasuicides over 19 years, there was evidence for a seasonal cycle in parasuicide admissions among women, with an increase during the summer and a fall over the winter, including a pronounced December nadir. Further analysis of the winter trough suggests a sociological explanation, the focal point being Christmas. There was no evidence for monthly or seasonal variation among men.
High-Throughput Production of Nanofibrous Mats via a Porous Materials Electrospinning Process

A facile method is presented for the electrospinning of multiple polymer jets into nanofibers. The experiments in this study electrified 7 wt% polyethylene oxide (PEO) and 10 wt% poly(vinylidene fluoride) (PVDF) solutions and adopted porous materials (bars with various dimensions) to enhance the productivity of the electrospinning process. The proposed electrospinning mechanism can be used to mass produce nanofibers at a relatively lower voltage (D.C. 6∼7 kV) and obtain a remarkable increase in throughput. The experimental results showed that the jets per area were on the order of 0.85∼1.5 jets/mm2, which is one to two orders of magnitude higher than the conventional single needle electrospinning process and can easily surpass the magnetic needleless method by a factor of 3.3–5.8. The proposed method of using porous materials as electrospinning devices (nozzles) should contribute to the advancement of next-generation, large-scale electrospinning systems for nanofiber fabrication.
Dynamics and Seasonal Abundance of Stink Bugs (Heteroptera: Pentatomidae) in a Cotton–Soybean Ecosystem

Abstract Two soybean varieties (early-maturing group V and late-maturing group VII) and two cotton varieties (conventional and transgenic (Bt) were grown in adjacent replicated large field plots (≈0.1 ha each) at two locations for 3 yr. The dynamics and relative abundance of phytophagous stink bugs within these two crops were observed. The most abundant pentatomid species in both crops for all 3 yr were Nezara viridula (L.), Acrosternum hilare (Say), and Euschistus servus (Say). Several other species also were commonly collected. This is the first record of Mormidea lugens (F.) on soybean and E. quadrator Rolston, E. obscurus (Palisot), Holcostethus limbolarius (Stål), and Oebalus pugnax (F.) on cotton. Stink bugs began arriving in soybean when plant growth stages ranged from pod formation to full seed development. Peak numbers of these insects were found in soybean from the time of full-size seeds in the pods until early maturity. The bugs were first attracted to the earlier maturing cultivar (group V), where they remained until plants began to mature (R7). The pentatomids then moved to the later-maturing cultivar (group VII) as it reached full pod to full seed. Stink bugs began arriving in cotton from the time of the earliest flowers until after the first bolls formed. Peak numbers in cotton occurred during the time when all stages of developing bolls were present. Stink bug numbers were much greater in soybean than in cotton over all three seasons. This preference for soybean over cotton indicates the potential use of soybean as a trap crop for attracting stink bugs away from cotton. Additionally, the coordinated use of early- and late-maturing soybean cultivars as a trap crop could minimize the area requiring insecticides, as well as the number of insecticide applications to cotton.
Fast-decodable MIDO codes with large coding gain

In this paper, a new method is proposed to obtain full-diversity, rate-2 (rate of 2 complex symbols per channel use) space-time block codes (STBCs) that are full-rate for multiple input, double output (MIDO) systems. Using this method, rate-2 STBCs for 4×2, 6×2, 8×2 and 12×2 systems are constructed and these STBCs are fast ML-decodable, have large coding gains, and STBC-schemes consisting of these STBCs have a non-vanishing determinant (NVD) so that they are DMT-optimal for their respective MIDO systems.
Effects of Degree of Urbanization and Lifetime Longest-Held Occupation on Cognitive Impairment Prevalence in an Older Spanish Population

Our aim was to estimate the prevalence of cognitive impairment in rural and urban elderly populations and to examine the relationship between lifetime occupation and general cognitive performance. A cross-sectional study was carried out covering a representative sample (n = 749) of adults aged ≥65 years. Two categories were created to define the degree of urbanization using a criterion of geographical contiguity in combination with a minimum population threshold: densely populated (urban) areas and intermediate-thinly populated (rural) areas. Occupational histories were ranked by skill level requirements according to the Spanish National Classification of Occupations. Prevalence estimates of cognitive impairment were measured with the Mini-Mental State Examination. Results show that rural residence was not significantly associated with higher risk of cognitive impairment. A protective effect of cognitive demands at work against age-related cognitive decline was observed. However, this effect was not independent of confounder factors, such as age and education. A low overall prevalence of cognitive impairment was observed (6.5%), compared with previous estimates, possibly due to the sample selection in senior centers. Occupation during active life is not an isolated protective factor against cognitive impairment, and it is closely related to educational level. In future geriatric programs, description of both factors should be taken into consideration in screening older adults at increased risk of cognitive impairment and dementia.
The status of supergenes in the 21st century: recombination suppression in Batesian mimicry and sex chromosomes and other complex adaptations

I review theoretical models for the evolution of supergenes in the cases of Batesian mimicry in butterflies, distylous plants and sex chromosomes. For each of these systems, I outline the genetic evidence that led to the proposal that they involve multiple genes that interact during ‘complex adaptations’, and at which the mutations involved are not unconditionally advantageous, but show advantages that trade‐off against some disadvantages. I describe recent molecular genetic studies of these systems and questions they raise about the evolution of suppressed recombination. Nonrecombining regions of sex chromosomes have long been known, but it is not yet fully understood why recombination suppression repeatedly evolved in systems in distantly related taxa, but does not always evolve. Recent studies of distylous plants are tending to support the existence of recombination‐suppressed genome regions, which may include modest numbers of genes and resemble recently evolved sex‐linked regions. For Batesian mimicry, however, molecular genetic work in two butterfly species suggests a new supergene scenario, with a single gene mutating to produce initial adaptive phenotypes, perhaps followed by modifiers specifically refining and perfecting the new phenotype.
Stress, anxiety & depression among medical undergraduate students & their socio-demographic correlates

Background & objectives: Presence of psychological morbidity in medical undergraduate students has been reported from various countries across the world. Indian studies to document this burden are very few. Therefore, the presence of depression, anxiety and stress among medical undergraduate students was assessed using a previously validated and standardized instrument, Depression Anxiety Stress Scale (DASS 42) and the associations with their socio-demographic and personal characteristics were identified. Methods: In a cross-sectional survey, a self-administered, pre-designed, pre-tested anonymous questionnaire including DASS 42 was used to collect information on basic socio-demographic (age, gender, semester) and personal characteristics (alcohol and tobacco use, academic performance). All students present on the day of survey were contacted for participation after obtaining informed written consent. Scores for each of the respondents over each of the sub-scales (Depression, Anxiety and Stress) were calculated as per the severity-rating index. Results: More than half of the respondents were affected by depression (51.3%), anxiety (66.9%) and stress (53%). Morbidity was found to be more in 5th semester students rather than students of 2nd semester. Females reported higher score as compared to their male counterparts. Perception of self assessment in academics was strongly associated with the higher score. Conclusions: A substantial proportion of medical undergraduate students was found to be depressed, anxious and stressed revealing a neglected area of the students’ psychology requiring urgent attention. Student counselling services need to be made available and accessible to curb this morbidity.