Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Activity of Sisomicin, Gentamicin, Kanamycin, and Tobramycin

Gentamicin, sisomicin, tobramycin, and kanamycin were compared in parallel tests in vitro and in vivo against a variety of bacterial strains and species. A number of differences were seen in vitro, in particular: (i) the lower activity of kanamycin, (ii) the greater activity of tobramycin against Pseudomonas, (iii) the greater activity of gentamicin and sisomicin against Serratia, and (iv) the generally similar results with tobramycin, gentamicin, and sisomicin against species other than Pseudomonas and Serratia, with the ranking in order of decreasing activity being sisomicin, gentamicin, and tobramycin. Analysis of disc test results suggested that the gentamicin disc is not adequate for testing the susceptibility of all bacteria to sisomicin or tobramycin. In vivo tests did not confirm all specifics of in vitro tests; results of in vivo tests indicated that sisomicin may be the most active. It is suggested that the place of each of the antibiotics in human therapy can best be evaluated by more rigorous in vivo tests and clinical studies rather than extensive in vitro comparisons.
Blind Clustering of Music Recordings Based on Audio Fingerprinting

Although multiple music recordings may sound identical to a human listener, the underlying representations of sound may differ due to the variations in their audio encoding and/or transmission methods. In contrast to the existing audio-fingerprinting techniques, which establishes the fingerprint of each source music to identify unknown, “distorted” audio clips, this paper proposes an unsupervised clustering framework to identify unknown, “distorted” audio clips derived from the same source music. By grouping together audio data derived from the same music, the human effort required to label music data can be dramatically reduced. This work develops methods to measure the similarities between audio clips and use hierarchical agglomerative clustering to group together audio clips that are similar to one another. Also proposed is a method based on the Rand Index to determine the optimal number of clusters automatically in relation to the number of source music recordings.
Transluminal Angioplasty and Stenting for Intracranial Vertebrobasilar Occlusive Lesions in Acute Stroke Patients

BACKGROUND AND PURPOSE: The clinical outcome is often poor in acute stroke patients with a serious neurological status due to occlusive lesions of the intracranial vertebral and/or basilar artery (IVBA). The purpose of this study was to investigate retrospectively the clinical features and outcome of acute stroke patients who underwent transluminal angioplasty and/or stenting (TAS) for occlusive lesions of the IVBA and to clarify the prerequisites for improvement of outcome. MATERIALS AND METHODS: Of 1690 consecutive acute ischemic stroke patients admitted to our institution, TAS for occlusive lesions of the IVBA was performed within 7 days after stroke onset in 28 patients. We classified these patients into 2 groups, those with total occlusion (occlusion group) and those with a high-grade stenosis (stenosis group), and compared the preprocedural neurologic status (severe: National Institutes of Health Stroke Scale >20), the rate of technical success, major procedure-related complications, subacute occlusion of the treated vessel, and favorable clinical outcome (0-2 points on a 3-month modified Rankin Scale) between the 2 groups. RESULTS: In the occlusion group (n = 16) and stenosis group (n = 12), a severe preprocedural neurologic status was seen in 13 and 1 patients, respectively (81% versus 8%; P = .0001); technical success was achieved in 13 and 11 patients, respectively (81% versus 92%; P value not significant [NS]); complications occurred in 6 and 0 patients, respectively (38% versus 0%; P < .05); subacute occlusion was seen in 4 and 1 patients, respectively (25% versus 8%; P = NS); and a favorable clinical outcome was obtained in 3 and 9 patients, respectively (19% versus 75%; P < .01). CONCLUSION: The clinical outcome of patients who underwent TAS for total occlusion of the IVBA was poor. Improvement of outcome requires reduction of procedure-related complications and subacute occlusion.
Privacy-Preserving Aggregation of Smart Metering via Transformation and Encryption

This paper proposes a novel privacy-preserving smart metering system for aggregating distributed smart meter data. It addresses two important challenges: (i) individual users wish to publish sensitive smart metering data for specific purposes, and (ii) an untrusted aggregator aims to make queries on the aggregate data. We handle these challenges using two main techniques. First, we propose Fourier Perturbation Algorithm (FPA) and Wavelet Perturbation Algorithm (WPA) which utilize Fourier/Wavelet transformation and distributed differential privacy (DDP) to provide privacy for the released statistic with provable sensitivity and error bounds. Second, we leverage an exponential ElGamal encryption mechanism to enable secure communications between the users and the untrusted aggregator. Standard differential privacy techniques perform poorly for time-series data as it results in a Θ(n) noise to answer n queries, rendering the answers practically useless if n is large. Our proposed distributed differential privacy mechanism relies on Gaussian principles to generate distributed noise, which guarantees differential privacy for each user with O(1) error, and provides computational simplicity and scalability. Compared with Gaussian Perturbation Algorithm (GPA) which adds distributed Gaussian noise to the original data, the experimental results demonstrate the superiority of the proposed FPA and WPA by adding noise to the transformed coefficients.
Study and Test of a New Bundle-Structure Riser Stress Monitoring Sensor Based on FBG

To meet the requirements of riser safety monitoring in offshore oil fields, a new Fiber Bragg Grating (FBG)-based bundle-structure riser stress monitoring sensor has been developed. In cooperation with many departments, a 49-day marine test in water depths of 1365 m and 1252 m was completed on the “HYSY-981” ocean oil drilling platform. No welding and pasting were used when the sensor was installed on risers. Therefore, the installation is convenient, reliable and harmless to risers. The continuous, reasonable, time-consistent data obtained indicates that the sensor worked normally under water. In all detailed working conditions, the test results show that the sensor can do well in reflecting stresses and bending moments both in and in magnitude. The measured maximum stress is 132.7 MPa, which is below the allowable stress. In drilling and testing conditions, the average riser stress was 86.6 MPa, which is within the range of the China National Offshore Oil Corporation (CNOOC) mechanical simulation results.
Differential blending for expressive sketch-based posing

Generating highly expressive and caricatured poses can be difficult in 3D computer animation because artists must interact with characters indirectly through complex character rigs. Furthermore, since caricatured poses often involve large bends and twists, artifacts arise with traditional skinning algorithms that are not designed to blend large, disparate rotations and cannot represent extremely large rotations. To overcome these problems, we introduce a differential blending algorithm that can successfully encode and blend large transformations, overcoming the inherent limitation of previous skeletal representations. Based on this blending method, we illustrate a sketch-based interface that supports curved bones and implements the line-of-action concept from hand-drawn animation to create expressive poses in 3D animation. By interpolating stored differential transformations across temporal keyframes, our system also generates caricatured animation. We present a detailed technical analysis of our differential blending algorithm and show several posing and animation results created using our system to demonstrate the utility of our method in practice.
Feature extraction for robust speech recognition using a power-law nonlinearity and power-bias subtraction

This paper presents a new feature extraction algorithm called Power-Normalized Cepstral Coefficients (PNCC) that is based on auditory processing. Major new features of PNCC processing include the use of a power-law nonlinearity that replaces the traditional log nonlinearity used for MFCC coefficients, and a novel algorithm that suppresses background excitation by estimating SNR based on the ratio of the arithmetic to geometric mean power, and subtracts the inferred background power. Experimental results demonstrate that the PNCC processing provides substantial improvements in recognition accuracy compared to MFCC and PLP processing for various types of additive noise. The computational cost of PNCC is only slightly greater than that of conventional MFCC processing.
TriTrypDB: a functional genomic resource for the Trypanosomatidae

TriTrypDB (http://tritrypdb.org) is an integrated database providing access to genome-scale datasets for kinetoplastid parasites, and supporting a variety of complex queries driven by research and development needs. TriTrypDB is a collaborative project, utilizing the GUS/WDK computational infrastructure developed by the Eukaryotic Pathogen Bioinformatics Resource Center (EuPathDB.org) to integrate genome annotation and analyses from GeneDB and elsewhere with a wide variety of functional genomics datasets made available by members of the global research community, often pre-publication. Currently, TriTrypDB integrates datasets from Leishmania braziliensis, L. infantum, L. major, L. tarentolae, Trypanosoma brucei and T. cruzi. Users may examine individual genes or chromosomal spans in their genomic context, including syntenic alignments with other kinetoplastid organisms. Data within TriTrypDB can be interrogated utilizing a sophisticated search strategy system that enables a user to construct complex queries combining multiple data types. All search strategies are stored, allowing future access and integrated searches. ‘User Comments’ may be added to any gene page, enhancing available annotation; such comments become immediately searchable via the text search, and are forwarded to curators for incorporation into the reference annotation when appropriate.
Supervised texture segmentation: A comparative study

This paper aims to compare between four different types of feature extraction approaches in terms of texture segmentation. The feature extraction methods that were used for segmentation are Gabor filters (GF), Gaussian Markov random fields (GMRF), run-length matrix (RLM) and co-occurrence matrix (GLCM). It was shown that the GF performed best in terms of quality of segmentation while the GLCM localises the texture boundaries better as compared to the other methods.
Differences in symptoms, functioning, and quality of life between women on long-term sick-leave with musculoskeletal pain with and without concomitant depression

Objective: The aim was to describe the differences in symptoms, functioning and quality of life between women on long-term sick-leave due to protracted musculoskeletal pain with and without concomitant depression. Design: Descriptive and comparisons with/without comorbid depression. Methods: 332 female patients were examined by three specialist physicians in psychiatry, orthopedic surgery, and rehabilitation medicine and assigned to four groups according to the ICD-10 diagnoses: low back/joint disorders (LBJ, n = 150), myalgia (M, n = 43), fibromyalgia (FM, n = 87), or depression without somatic pain diagnosis (DE, n = 52). Results: Patients with somatic pain conditions LBJ, M, or FM showed more activity-related difficulties if concomitant depression was present during the activities ‘focusing attention’, ‘making decisions’, and ‘undertaking a single task’; and in the domains ‘energy level’, ‘memory functions’, ‘emotional functions’, and ‘optimism/pessimism’. Patients with FM and concomitant depression perceived higher pain intensity than patients in group DE. No statistically significant differences in physically related activities were noted between each of the somatic pain conditions with and without coexisting depression. FM patients with coexisting depression reported fewer painful sites on their pain drawings compared with FM-patients without depression. Patients with LBJ or FM and concomitant depression reported lower quality of life in the dimensions vitality, social functioning, emotional role, and mental health. Comorbid depression affected disability and restricted working capacity by reducing mental activity and functioning but not by affecting physical activity problems. Conclusion: Women on long-term sick-leave, who have concomitant depression with LBJ or FM, also have more difficulties in focusing attention, making decisions, and carrying out tasks, and with memory functions and optimism/pessimism, as well as reduced quality of life in the dimensions of vitality, social functioning, emotional role, and mental health, than female patients without comorbid depression. As a consequence we suggest further efforts to integrate somatic and psychiatric interventions in the same rehabilitation program.
Physical layer security of non-orthogonal multiple access in cognitive radio networks

This paper investigates physical layer security of non-orthogonal multiple access (NOMA) in cognitive radio (CR) networks. The techniques of NOMA and CR have improved the spectrum efficiency greatly in the traditional networks. Because of the difference in principles of spectrum improving, NOMA and CR can be combined together, i.e. CR NOMA network, and have great potential to improving the spectrum efficiency. However the physical layer security in CR NOMA network is different from any single network of NOMA or CR. We will study the physical layer security in underlay CR NOMA network. Firstly, the wiretap network model is constructed according to the technical characteristics of NOMA and CR. In addition, new exact and asymptotic expressions of the security outage probability are derived and been confirmed by simulation. Ultimately, we have studied the effect of some critical factors on security outage probability after simulation.
Myths, Relationships and Coincidences: The New Problems of Sexual History

This article reviews recent developments in the law governing the admissibility of sexual history evidence in England and Wales. After the decision of the House of Lords in R v A (No. 2), the law reflects a consensus that the complainant's sexual history with third parties is generally irrelevant to the issue of consent in rape trials. In the first part of this article, the justifications for this conclusion are questioned; it is suggested that the relevance of sexual history is a more complex issue than it is usually acknowledged to be. The second part of the article uses points made in the first to question the way in which concepts drawn from the law on similar fact evidence have been used as the admissibility framework for sexual history. Aspects of the decision in R v A are examined in detail.
Why use noise?

Measuring the dependence of visual sensitivity on parameters of the visual stimulus is a mainstay of vision science. However, it is not widely appreciated that visual sensitivity is a product of two factors that are each invariant with respect to many properties of the stimulus and task. By estimating these two factors, one can isolate visual processes more easily than by using sensitivity measures alone. The underlying idea is that noise limits all forms of communication, including vision. As an empirical matter, it is often useful to measure the human observer's threshold with and without a noise background added to the display, to disentangle the observer's ability from the observer's intrinsic noise. And when we know how much noise there is, it is often useful to calculate ideal performance of the task at hand, as a benchmark for human performance. This strips away the intrinsic difficulty of the task to reveal a pure measure of human ability. Here we show how to do the factoring of sensitivity into efficiency and equivalent noise, and we document the invariances of the two factors.
Shape and Topology Optimization by the Level Set Method: Application to Damage Evolution Modeling

The level set method applied to shape and topology optimization has recently proven its efficiency and its ability to deal with various models and objective functions. We have extended the classical level set method in order to allow the numerical simulation of the evolution of damage in brittle materials following the Francfort-Marigo model. This model is based on a Griffith energy criterion for the competition between the two phases, healthy and damaged, separated by a sharp interface. In a quasi-static and irreversible framework, the damage configuration is obtained by minimizing a total energy using a gradient descent method. Following the ideas developped for example in in the context of structural topology optimization, the interface is modeled by a level set function which is advected by the energy gradient issued from a shape derivation. The efficiency of this approach will be demonstrated at the conference through several numerical examples in 2d and 3d.
Health workers’ knowledge of and attitudes towards computer applications in rural African health facilities

Background The QUALMAT (Quality of Maternal and Prenatal Care: Bridging the Know-do Gap) project has introduced an electronic clinical decision support system (CDSS) for pre-natal and maternal care services in rural primary health facilities in Burkina Faso, Ghana, and Tanzania. Objective To report an assessment of health providers’ computer knowledge, experience, and attitudes prior to the implementation of the QUALMAT electronic CDSS. Design A cross-sectional study was conducted with providers in 24 QUALMAT project sites. Information was collected using structured questionnaires. Chi-squared tests and one-way ANOVA describe the association between computer knowledge, attitudes, and other factors. Semi-structured interviews and focus groups were conducted to gain further insights. Results A total of 108 providers responded, 63% were from Tanzania and 37% from Ghana. The mean age was 37.6 years, and 79% were female. Only 40% had ever used computers, and 29% had prior computer training. About 80% were computer illiterate or beginners. Educational level, age, and years of work experience were significantly associated with computer knowledge (p<0.01). Most (95.3%) had positive attitudes towards computers – average score (±SD) of 37.2 (±4.9). Females had significantly lower scores than males. Interviews and group discussions showed that although most were lacking computer knowledge and experience, they were optimistic about overcoming challenges associated with the introduction of computers in their workplace. Conclusions Given the low levels of computer knowledge among rural health workers in Africa, it is important to provide adequate training and support to ensure the successful uptake of electronic CDSSs in these settings. The positive attitudes to computers found in this study underscore that also rural care providers are ready to use such technology.
in Hong Kong : an evaluation based on program participants

A total of 1744 participants comprising 44 groups participated in a 3-day Secondary 1 Training Program of Project P.A. T.H. S. in Hong Kong. At the end of the training program, the participants were invited to respond to a subjective outcome evaluation. Results showed that the assessment tools are internally consistent. Descriptive statistics revealed that evaluations of the respondents are positive in terms of the training program content, interaction, trainers ’ performance, self-performance, administrative arrangement, and overall satisfaction. Overall satisfaction was predicted by training content, trainers ’ performance, self-performance, and interaction. Training content and trainers ’ performance explain half of the total variance. The present fi ndings reiterate other studies regarding the effectiveness of the training program of Project P.A. T.H. S. in promoting the participants ’ knowledge, attitude, and skills in delivering the program.
Clinical‐scale purification of pluripotent stem cell derivatives for cell‐based therapies

Human pluripotent stem cells (hPSCs) have the potential to revolutionize cell‐replacement therapies because of their ability to self renew and differentiate into nearly every cell type in the body. However, safety concerns have delayed the clinical translation of this technology. One cause for this is the capacity that hPSCs have to generate tumors after transplantation. Because of the challenges associated with achieving complete differentiation into clinically relevant cell types, the development of safe and efficient strategies for purifying committed cells is essential for advancing hPSC‐based therapies. Several purification strategies have now succeeded in generating non‐tumorigenic and homogeneous cell‐populations. These techniques typically enrich for cells by either depleting early committed populations from teratoma‐initiating hPSCs or by positively selecting cells after differentiation. Here we review the working principles behind separation methods that have facilitated the safe and controlled application of hPSC‐derived cells in laboratory settings and pre‐clinical research. We underscore the need for improving and integrating purification strategies within differentiation protocols in order to unlock the therapeutic potential of hPSCs.
Asymmetry and Ambiguity in Newsvendor Models

A basic assumption of the classical newsvendor model is that the probability distribution of the random demand is known. But in most realistic settings, only partial distribution information is available or reliably estimated. The distributionally robust newsvendor model is often used in this case where the worst-case expected profit is maximized over the set of distributions satisfying the known information, which is usually the mean and covariance of demands. However, covariance does not capture information on asymmetry of the demand distribution. In this paper, we introduce a measure of distribution asymmetry using second-order partitioned statistics. Semivariance is a special case with a single partition of the univariate demand. With mean, variance, and semivariance information, we show that a three-point distribution achieves the worst-case expected profit and derive a closed-form expression for the distributionally robust order quantity. For multivariate demand, the distributionally robust problem .
Kinect based real-time position calibration for nasal endoscopic surgical navigation system

Unanticipated, reactive motion of the patient during skull based tumor resective surgery is the source of the consequence that the nasal endoscopic tracking system is compelled to be recalibrated. To accommodate the calibration process with patient's movement, this paper developed a Kinect based Real-time positional calibration method for nasal endoscopic surgical navigation system. In this method, a Kinect scanner was employed as the acquisition part of the point cloud volumetric reconstruction of the patient's head during surgery. Then, a convex hull based registration algorithm aligned the real-time image of the patient head with a model built upon the CT scans performed in the preoperative preparation to dynamically calibrate the tracking system if a movement was detected. Experimental results confirmed the robustness of the proposed method, presenting a total tracking error within 1 mm under the circumstance of relatively violent motions. These results point out the tracking accuracy can be retained stably and the potential to expedite the calibration of the tracking system against strong interfering conditions, demonstrating high suitability for a wide range of surgical applications.