Miracle-dz/UniFAR-FTUs huggingface dataset:
Passive Network Tomography for Erroneous Networks: A Network Coding Approach

Passive network tomography uses end-to-end observations of network communications to characterize the network, for instance, to estimate the network topology and to localize random or adversarial faults. Under the setting of linear network coding, this work provides a comprehensive study of passive network tomography in the presence of network (random or adversarial) faults. To be concrete, this work is developed along two directions: 1) tomographic upper and lower bounds (i.e., the most adverse conditions in each problem setting under which network tomography is possible, and corresponding schemes (computationally efficient, if possible) that achieve this performance) are presented for random linear network coding (RLNC). We consider RLNC designed with common randomness, i.e., the receiver knows the random codebooks of all intermediate nodes. (To justify this, we show an upper bound for the problem of topology estimation in networks using RLNC without common randomness.) In this setting, we present the first set of algorithms that characterize the network topology exactly. Our algorithm for topology estimation with random network errors has time complexity that is polynomial in network parameters. For the problem of network error localization given the topology information, we present the first computationally tractable algorithm to localize random errors, and prove that it is computationally intractable to localize adversarial errors. 2) New network coding schemes are designed that improve the tomographic performance of RLNC while maintaining the desirable low-complexity, throughput-optimal, distributed linear network coding properties of RLNC. In particular, we design network codes based on Reed–Solomon codes so that a maximal number of adversarial errors can be localized in a computationally efficient manner even without the information of network topology. The tomography schemes proposed in the paper can be used to monitor networks with other faults such as packet losses and link delays, etc.
Computer-Based Surgical Planning and Custom-Made Titanium Implants for Cranial Fibrous Dysplasia

BACKGROUND: The procedure of reconstruction after the removal of cranial fibrous dysplasia (FD) must be precise to achieve good functional and aesthetic results. Intraoperative modeling of implants is difficult and may cause cosmetic disturbances. OBJECTIVE: To present our experience with the treatment of cranial FD using preoperative computer-based surgical planning of tumor removal with reconstruction of the cranium with custom-made titanium implants. METHODS: Four patients underwent surgical treatment for cranial FD over a 2-year period. All patients were male with a mean age of 25.25 years and had monostotic-type FD. Computed tomography (CT) with 0.5-mm slices was obtained preoperatively. Computer-based planning of the tumor removal was performed, and a template was created by the computer to determine the margins of tumor removal. After this procedure, the preoperative computer-based construction of the titanium implant was performed. The patients underwent surgical treatment, and the tumor was removed with the use of this template. Then, the titanium implant was inserted onto the bone defect and fixed with mini-screws. Patients were followed up by periodic CT scans. RESULTS: The histological diagnosis of all patients was FD. No intraoperative or postoperative complications have occurred. Postoperative CT scans showed complete tumor removal and confirmed appropriate cosmetic reconstruction. The mean follow-up period was 15.25 months. CONCLUSION: Computer-based surgical planning associated with the production of custom-made titanium implants is a highly promising method for the treatment of cranial FD. Better radiological and cosmetic outcomes could be obtained by this technique with interdisciplinary work with medical designers. ABBREVIATIONS: DICOM, digital imaging and communications in medicine FD, fibrous dysplasia
Dramatherapy: Theory and Practice 2

The third volume of Dramatherapy: Theory and Practice brings the reader up-to-date with the latest developments in the profession of dramatherapy and tackles key issues in contemporary social relationships. It shows how dramatherapy is evolving its own theory and methodology as well as specific models for supervision and assessment. Dramatherapy is now being used in a broad continuum of care and contributors give many examples of its practice in contexts of prevention, maintenance and cure. * Incorporates method, theoretical concepts and latest research * Covers major new themes of gender, race and politics * 29 international contributors
Improved closed set text independent speaker identification system using Gammachirp Filterbank in noisy environments

Several modern speaker recognition systems use a bank of linear filters as the primary step in performing frequency analysis of speech and extracting the acoustics parameters that permit characterizing the speaker identity. In this paper we point up the employ of novel feature set extracted from speech signal. The new skill for extracting these parameters is based on the human auditory system characteristics and relies on the Gammachirp Filterbank to imitate the cochlea frequency resolution with nonlinear resolution according to the equivalent rectangular bandwidth (ERB) scale. For evaluation a comparative study was operated with standard MFCC, and the effect of these differences using an usual HMM/GMM for text independent speaker recognition system, for noisy environments. Performances were test database contaminated with additive noise different real-environment noises were used: car noise provided by Volvo, factory noise and white noise from Noisex92 [1]. Tests were carried out at different SNR levels (-3dB, 0dB, 3dB, 6dB, 12dB).
The Psychological Well-Being of Men Diagnosed with Prostate Cancer

OF DISSERTATION THE PSYCHOLOGICAL WELL-BEING OF MEN DIAGNOSED WITH PROSTATE CANCER Prostate cancer (PC) affects one in eight men in North America and continues to be the most common site of cancer in males, especially among older men in Europe and the United States, and the second most common cancer worldwide. Prostate cancer is, after lung cancer, the most common cause of cancer-related deaths among men with an estimated 27,540 deaths in 2015. The well-being of patients diagnosed with PC is a largely unexplored research area. Numerous factors likely impact men’s psychological well-being as they progress through the experience of managing PC. Among the various factors that may predict psychological well-being for these men, social support, marital adjustment, and emotional expressiveness seem to warrant investigation based on the research literature. “Psychological well-being” as described by Ryff offers a unique way of measuring psychological functioning of men diagnosed with PC and appears to be a multidimensional view of positive psychological functioning. Little research has been conducted to examine how various factors influence psychological well-being in men with PC. The purpose of the study was to examine correlates and predictors of overall psychological well-being in a sample of men diagnosed with PC. Independent variables included three psychological factors-social support, marital adjustment, and emotional expressiveness. The design of the study was descriptive and cross-sectional. Measures used included: a demographic questionnaire, Scales of Psychological Well-Being, Dyadic Adjustment Scale, Expression of Emotion Scale, and a Visual Analog Scale of Social Support. Data analyses examined three predictors and the dependent variable–total psychological well-being. Findings show that marital adjustment significantly predicts total psychosocial well-being scores in men diagnosed with cancer in a positive direction. Implications for therapeutic practice and future research are discussed. Lack of support may place men diagnosed with prostate cancer at risk for poorer psychological well-being. Identification of at-risk men and referral to support services may improve overall psychological well-being.
Lipopeptide nanoparticles for potent and selective siRNA delivery in rodents and nonhuman primates

Significance The safe, selective, and efficient delivery of siRNA is a key challenge to the broad application of siRNA therapeutics in humans. Motivated by the structure of lipoproteins, we developed lipopeptide nanomaterials for siRNA delivery. In vivo in mice, siRNA–lipopeptide particles provide the most potent delivery to hepatocytes (ED50 ∼ 0.002 mg/kg for FVII silencing), with the highest selectivity of delivery to hepatocytes over nontarget cell types (orders of magnitude), yet reported. These materials also show efficacy in nonhuman primates. siRNA therapeutics have promise for the treatment of a wide range of genetic disorders. Motivated by lipoproteins, we report lipopeptide nanoparticles as potent and selective siRNA carriers with a wide therapeutic index. Lead material cKK-E12 showed potent silencing effects in mice (ED50 ∼ 0.002 mg/kg), rats (ED50 < 0.01 mg/kg), and nonhuman primates (over 95% silencing at 0.3 mg/kg). Apolipoprotein E plays a significant role in the potency of cKK-E12 both in vitro and in vivo. cKK-E12 was highly selective toward liver parenchymal cell in vivo, with orders of magnitude lower doses needed to silence in hepatocytes compared with endothelial cells and immune cells in different organs. Toxicity studies showed that cKK-E12 was well tolerated in rats at a dose of 1 mg/kg (over 100-fold higher than the ED50). To our knowledge, this is the most efficacious and selective nonviral siRNA delivery system for gene silencing in hepatocytes reported to date.
Efficient deafness avoidance in wireless ad hoc and sensor networks with directional antennas

Using directional antennas in wireless ad hoc networks can significantly improve network performance. However, the deafness problem greatly limits the network performance. This paper thoroughly investigates two types of deafness problems, one of which is reported for the first time in this paper. This paper also proposes a new MAC scheme, namely DMAC-DA, to address both types of deafness problems. Simulation results show that deafness adversely affects the network throughput and that DMAC-DA alleviates the deafness problem and greatly improves the network performance. This paper also reveals that the second kind of deafness is more serious than the first.
Enhancements in Statistical Spoken Language Translation by De-normalization of ASR Results

Spoken language translation (SLT) has become very important in an increasingly globalized world. Machine translation (MT) for automatic speech recognition (ASR) systems is a major challenge of great interest. This research investigates that automatic sentence segmentation of speech that is important for enriching speech recognition output and for aiding downstream language processing. This article focuses on the automatic sentence segmentation of speech and improving MT results. We explore the problem of identifying sentence boundaries in the transcriptions produced by automatic speech recognition systems in the Polish language. We also experiment with reverse normalization of the recognized speech samples.
Observer-Independent Quantification of Insulin Granule Exocytosis and Pre-Exocytotic Mobility by TIRF Microscopy

Abstract Total internal reflection fluorescence microscopy of fluorescently labeled secretory granules permits monitoring of exocytosis and the preceding granule behavior in one experiment. While observer-dependent evaluation may be sufficient to quantify exocytosis, most of the other information contained in the video files cannot be accessed this way. The present program performs observer-independent detection of exocytosis and tracking of the entire submembrane population of insulin granules. A precondition is the exact localization of the peak of the granule fluorescence. Tracking is based on the peak base radius, peak intensity, and the precrossing itineraries. Robustness of the tracking was shown by simulated tracks of original granule patterns. Mobility in the X–Y dimension is described by the caging diameter which in contrast to the widely used mean square displacement has an inherent time resolution. Observer-independent detection of exocytosis in MIN6 cells labeled with insulin-EGFP is based on the maximal decrease in fluorescence intensity and position of the centroid of the dissipating cloud of released material. Combining the quantification of KCl-induced insulin exocytosis with the analysis of prefusion mobility showed that during the last 3 s pre-exocytotic granules had a smaller caging diameter than control granules and that it increased significantly immediately before fusion.
Lipopolysaccharide induces autophagy through BIRC2 in human umbilical vein endothelial cells

Lipopolysaccharide (LPS), as an important proinflammatory agent, targets the endothelium. However, almost all in vitro experiments of the effect of LPS on vascular endothelial cells (VECs) were performed under an artificially decreased concentration of serum that was not enough to maintain the cell growth for a long time. The mechanism underlying LPS action on VECs cultured in a nutrient‐rich condition is not clear. To address this question and mimic the in vivo condition, we investigated the effect of LPS on VEC autophagy, which is involved in numerous physiological processes. The effect of LPS on microtubule‐associated protein 1 light chain 3 (LC3) distribution, LC3‐II accumulation and p62 degradation showed that LPS effectively induced autophagy in VECs cultured in the presence of 20% serum. To understand the mechanism by which LPS triggers the cell autophagy, we first investigated the effects of LPS on the expression of BIRC2 (cIAP1), a well‐known apoptosis inhibitor, and on the kinase activity of mammalian target of rapamycin (mTOR) and nuclear translocation of p53. LPS increased BIRC2 expression in a dose‐ and time‐dependent manner and elevated the intranuclear level of p53 but had no effect on the mTOR pathway when it triggered VEC autophagy. Furthermore, knockdown of BIRC2 by RNA interference inhibited the autophagy and the translocation of p53 to nuclei induced by LPS. These data suggest a novel role for BIRC2 in LPS‐induced autophagy in VECs. J. Cell. Physiol. 225: 174–179, 2010. © 2010 Wiley‐Liss, Inc.
Predicting the Permanent Safe Donor Area for Hair Transplantation in Koreans with Male Pattern Baldness according to the Position of the Parietal Whorl

Background The most crucial factor in hair transplantation for male pattern baldness (MPB) patients is the efficient utilization of the donor-recipient ratio. However, there is no known factor that scientifically predicts the rate of progression of alopecia or indicates a permanently safe donor area. Methods The study considered 1,008 Korean adult males with MPB; of these, it excluded 56 males with an absence of parietal whorls (PWs). The authors investigated the distance from the vertical bimeatal line (VM) to the PW, from the PW to the upper border of the helical rim (HR), and the distance from the PW to the occipital fringe (OF) in 952 subjects with a PW. Furthermore, we examined the distance from the PW to the OF considering the duration of alopecia and age in 322 subjects with vertex alopecia. Results The distance between the VM and PW varied from 1.5 to 11 cm, with an average distance of 6.25 cm. The PW-HR distance ranged from 3.4 to 17.5 cm, and the average distance was 7.79 cm. The PW-OF distance ranged from 0.5 to 5.5 cm, and the average distance was 2.37 cm. Conclusions For the PW, very large variations existed in the vertical direction. The position of the PW could predict the progression range of the total alopecia of the vertex. Alopecia mostly progresses within 6 cm of the PW toward the occipital side.
Influence of Familial Renal Glycosuria Due to Mutations in the SLC5A2 Gene on Changes in Glucose Tolerance over Time

Familial renal glycosuria is an inherited disorder resulting in glucose excretion in the urine despite normal blood glucose concentrations. It is most commonly due to mutations in the SLC5A2 gene coding for the glucose transporter SGLT2 in the proximal tubule. Several drugs have been introduced as means to lower glucose in patients with type 2 diabetes targeting SGLT2 resulting in renal glycosuria, but no studies have addressed the potential effects of decreased renal glucose reabsorption and chronic glycosuria on the prevention of glucose intolerance. Here we present data on a large pedigree with renal glycosuria due to two mutations (c.300-303+2del and p.A343V) in the SLC5A2 gene. The mutations, which in vitro affected glucose transport in a cell line model, and the ensuing glycosuria were not associated with better glycemic control during a follow-up period of more than 10 years. One individual, who was compound heterozygous for mutations in the SLC5A2 gene suffered from severe urogenital candida infections and postprandial hypoglycemia. In conclusion, in this family with familial glycosuria we did not find any evidence that chronic loss of glucose in the urine would protect from deterioration of the glucose tolerance over time.
Exploiting the Hard-Working DWARF: Trojan and Exploit Techniques with No Native Executable Code

The study of vulnerabilities and exploitation is one of finding mechanisms affecting the flow of computation and of finding new means to perform unexpected computation. In this paper we show the extent to which exception handling mechanisms as implemented and used by gcc can be used to control program execution. We show that the data structures used to store exception handling information on UNIX-like systems actually contain Turing-complete bytecode, which is executed by a virtual machine during the course of exception unwinding and handling. We discuss how a malicious attacker could gain control over these structures and how such an attacker could utilize them once control has been achieved.
FIM, a Novel FTIR-Based Imaging Method for High Throughput Locomotion Analysis

We designed a novel imaging technique based on frustrated total internal reflection (FTIR) to obtain high resolution and high contrast movies. This FTIR-based Imaging Method (FIM) is suitable for a wide range of biological applications and a wide range of organisms. It operates at all wavelengths permitting the in vivo detection of fluorescent proteins. To demonstrate the benefits of FIM, we analyzed large groups of crawling Drosophila larvae. The number of analyzable locomotion tracks was increased by implementing a new software module capable of preserving larval identity during most collision events. This module is integrated in our new tracking program named FIMTrack which subsequently extracts a number of features required for the analysis of complex locomotion phenotypes. FIM enables high throughput screening for even subtle behavioral phenotypes. We tested this newly developed setup by analyzing locomotion deficits caused by the glial knockdown of several genes. Suppression of kinesin heavy chain (khc) or rab30 function led to contraction pattern or head sweeping defects, which escaped in previous analysis. Thus, FIM permits forward genetic screens aimed to unravel the neural basis of behavior.
Preserving Hidden Data with an Ever-Changing Disk

This paper presents a storage system that can hide the presence of hidden data alongside a larger volume of public data. Encryption allows a user to hide the contents of data, but not the fact that sensitive data is present. Under duress, the owner of high-value data can be coerced by a powerful adversary to disclose decryption keys. Thus, private users and corporations have an interest in hiding the very presence of some sensitive data, alongside a larger body of less sensitive data (e.g., the operating system and other benign files); this property is called plausible deniability. Existing plausible deniability systems do not fulfill all of the following requirements: (1) resistance to multiple snapshot attacks where an attacker compares the state of the device over time; (2) ensuring that hidden data won't be destroyed when the public volume is modified by a user unaware of the hidden data; and (3) disguising writes to secret data as normal system operations on public data. We explain why existing solutions do not meet all these requirements and present the Ever-Changing Disk (ECD), a generic scheme for plausible deniability storage systems that meets all of these requirements. An ECD stores hidden data inside a large volume of pseudorandom data. Portions of this volume are periodically migrated in a log-structured manner. Hidden writes can then be interchanged with normal firmware operations. The expected access patterns and time until hidden data is overwritten are completely predictable, and insensitive to whether data is hidden. Users control the rate of internal data migration (R), trading write bandwidth to hidden data for longevity of the hidden data. For a typical 2TB disk and setting of R, a user preserves hidden data by entering her secret key every few days or weeks.
Human bodypart classification using geodesic descriptors and random forests

A new approach to classify human body parts in depth images is proposed. The approach is based on geodesic descriptors. Such a descriptor randomly samples the local geodesic neighborhood of each depth pixel. During a training phase, a random forest classifier learns the correct body part from these descriptors. The experimental evaluation shows that we can robustly classify 19 body parts for several different poses and body proportions. We further compare our approach and the classification based on geodesic distance features to those that were used in previous works.
The Plasticity of the Superior Longitudinal Fasciculus as a Function of Musical Expertise: A Diffusion Tensor Imaging Study

Previous neuroimaging studies have demonstrated that musical expertise leads to functional alterations in language processing. We utilized diffusion tensor imaging (DTI) to investigate white matter plasticity in musicians with absolute pitch (AP), relative pitch and non-musicians. Using DTI, we analysed the fractional anisotropy (FA) of the superior longitudinal fasciculus (SLF), which is considered the most primary pathway for processing and production of speech and music. In association with different levels of musical expertise, we found that AP is characterized by a greater left than right asymmetry of FA in core fibres of the SLF. A voxel-based analysis revealed three clusters within the left hemisphere SLF that showed significant positive correlations with error rates only for AP-musicians in an AP-test, but not for musicians without AP. We therefore conclude that the SLF architecture in AP musicians is related to AP acuity. In order to reconcile our observations with general aspects of development of fibre bundles, we introduce the Pioneer Axon Thesis, a theoretical approach to formalize axonal arrangements of major white matter pathways.