Explore the vast range of titles available.

Human identification by fingerprints is based on the fundamental premise that ridge patterns from distinct fingers are different (uniqueness) and a fingerprint pattern does not change over time (persistence). Although the uniqueness of fingerprints has been investigated by developing statistical models to estimate the probability of error in comparing two random samples of fingerprints, the persistence of fingerprints has remained a general belief based on only a few case studies. In this study, fingerprint match (similarity) scores are analyzed by multilevel statistical models with covariates such as time interval between two fingerprints in comparison, subject’s age, and fingerprint image quality. Longitudinal fingerprint records of 15,597 subjects are sampled from an operational fingerprint database such that each individual has at least five 10-print records over a minimum time span of 5 y. In regard to the persistence of fingerprints, the longitudinal analysis on a single (right index) finger demonstrates that ( i ) genuine match scores tend to significantly decrease when time interval between two fingerprints in comparison increases, whereas the change in impostor match scores is negligible; and ( ii ) fingerprint recognition accuracy at operational settings, nevertheless, tends to be stable as the time interval increases up to 12 y, the maximum time span in the dataset. However, the uncertainty of temporal stability of fingerprint recognition accuracy becomes substantially large if either of the two fingerprints being compared is of poor quality. The conclusions drawn from 10-finger fusion analysis coincide with the conclusions from single-finger analysis.

Deep neural networks (DNN) have achieved unprecedented success in numerous machine learning tasks in various domains. However, the existence of adversarial examples raises our concerns in adopting deep learning to safety-critical applications. As a result, we have witnessed increasing interests in studying attack and defense mechanisms for DNN models on different data types, such as images, graphs and text. Thus, it is necessary to provide a systematic and comprehensive overview of the main threats of attacks and the success of corresponding countermeasures. In this survey, we review the state of the art algorithms for generating adversarial examples and the countermeasures against adversarial examples, for three most popular data types, including images, graphs and text.

Biometric recognition, or simply biometrics, refers to automated recognition of individuals based on their behavioural and biological characteristics. The success of fingerprints in forensic science and law enforcement applications, coupled with growing concerns related to border control, financial fraud and cyber security, has generated a huge interest in using fingerprints, as well as other biological traits, for automated person recognition. It is, therefore, not surprising to see biometrics permeating various segments of our society. Applications include smartphone security, mobile payment, border crossing, national civil registry and access to restricted facilities. Despite these successful deployments in various fields, there are several existing challenges and new opportunities for person recognition using biometrics. In particular, when biometric data is acquired in an unconstrained environment or if the subject is uncooperative, the quality of the ensuing biometric data may not be amenable for automated person recognition. This is particularly true in crime-scene investigations, where the biological evidence gleaned from a scene may be of poor quality. In this article, we first discuss how biometrics evolved from forensic science and how its focus is shifting back to its origin in order to address some challenging problems. Next, we enumerate the similarities and differences between biometrics and forensics. We then present some applications where the principles of biometrics are being successfully leveraged into forensics in order to solve critical problems in the law enforcement domain. Finally, we discuss new collaborative opportunities for researchers in biometrics and forensics, in order to address hitherto unsolved problems that can benefit society at large.

The most dreaded neurological complications in TB spine occur in active stage of disease by mechanical compression, instability and inflammation changes, while in healed disease, these occur due to intrinsic changes in spinal cord secondary to internal salient in long standing kyphotic deformity. A judicious combination of conservative therapy and operative decompression when needed should form a comprehensive integrated course of treatment for TB spine with neurological complications. The patients showing relatively preserved cord with evidence of edema/myelitis with predominantly fluid collection in extradural space on MRI resolve on non-operative treatment, while the patients with extradural compression of mixed or granulomatous nature showing entrapment of spinal cord should be undertaken for early surgical decompression. The disease focus should be debrided with removal of pus caseous tissue and sequestra. The viable bone should only be removed to decompress the spinal cord and resultant gap should be bridged by bone graft. The preserved volume of spinal cord with edema/myelitis and wet lesion on MRI usually would show good neural recovery. The spinal cord showing myelomalacia with reduced cord volume and dry lesion likely to show a poor neural recovery. The internal kyphectomy is indicated for paraplegia with healed disease. These cases are bad risk for surgery and neural recovery. The best form of treatment of late onset paraplegia is the prevention of development of severe kyphosis in initial active stage of disease.

Preferred walking speed is a widely-used performance measure for people with mobility issues, but is usually measured in straight line walking for fixed distances or durations, and without explicitly accounting for turning. However, daily walking involves walking for bouts of different distances and walking with turning, with prior studies showing that short bouts with at most 10 steps could be 40% of all bouts and turning steps could be 8-50% of all steps. Here, we studied walking in a straight line for short distances (4 m to 23 m) and walking in circles (1 m to 3 m turning radii) in people with transtibial amputation or transfemoral amputation using a passive ankle-foot prosthesis (Jaipur Foot). We found that the study participants’ preferred walking speeds are lower for shorter straight-line walking distances and lower for circles of smaller radii, which is analogous to earlier results in subjects without amputation. Using inverse optimization, we estimated the cost of changing speeds and turning such that the observed preferred walking speeds in our experiments minimizes the total cost of walking. The inferred costs of changing speeds and turning were larger for subjects with amputation compared to subjects without amputation in a previous study, specifically, being 4x to 8x larger for the turning cost and being highest for subjects with transfemoral amputation. Such high costs inferred by inverse optimization could potentially include non-energetic costs such as due to joint or interfacial stress or stability concerns, as inverse optimization cannot distinguish such terms from true metabolic cost. These experimental findings and models capturing the experimental trends could inform prosthesis design and rehabilitation therapy to better assist changing speeds and turning tasks. Further, measuring the preferred speed for a range of distances and radii could be a more comprehensive subject-specific measure of walking performance than commonly used straight line walking metrics.

Biometric recognition offers a reliable solution to the problem of user authentication in identity management systems. With the widespread deployment of biometric systems in various applications, there are increasing concerns about the security and privacy of biometric technology. Public acceptance of biometrics technology will depend on the ability of system designers to demonstrate that these systems are robust, have low error rates, and are tamper proof. We present a high-level categorization of the various vulnerabilities of a biometric system and discuss countermeasures that have been proposed to address these vulnerabilities. In particular, we focus on biometric template security which is an important issue because, unlike passwords and tokens, compromised biometric templates cannot be revoked and reissued. Protecting the template is a challenging task due to intrauser variability in the acquired biometric traits. We present an overview of various biometric template protection schemes and discuss their advantages and limitations in terms of security, revocability, and impact on matching accuracy. A template protection scheme with provable security and acceptable recognition performance has thus far remained elusive. Development of such a scheme is crucial as biometric systems are beginning to proliferate into the core physical and information infrastructure of our society.

Downsizing materials into hetero-structured thin film configurations is an important avenue to capture various interfacial phenomena. Metallic conduction at the interfaces of insulating transition metal oxides and organic molecules are notable examples, though, it remained elusive in the domain of coordination polymers including metal-organic frameworks (MOFs). MOFs are comprised of metal centers connected to organic linkers with an extended coordination geometry and potential void space. Poor orbitals overlap often makes these crystalline solids electrical insulators. Herein, we have fabricated hetero-structured thin film of a Mott and a band insulating MOFs via layer-by-layer method. Electrical transport measurements across the thin film evidenced an interfacial metallic conduction. The origin of such an unusual observation was understood by the first-principles density functional theory calculations; specifically, Bader charge analysis revealed significant accumulation and percolation of charge across the interface. We anticipate similar interfacial effects in other rationally designed hetero-structured thin films of MOFs. Electrical transport across hetero-structured thin films of band and Mott insulators is intriguing. Here, the authors report an emergence of interfacial metallic conduction across thin film of a Cu(I)- and Cu(II)-based metal-organic frameworks.

Like it or not, biometrics technology is here to stay. Passports, credit cards and even one's computer or house will come to rely on an automated protocol to establish one's identity using certain anatomical traits or behaviors. In an interview, Anil K. Jain answers the biometric frequently asked questions. He thinks that it's all going to work just fine.

This observational study showed that measures of quality of care for patients with diabetes are better in practices using electronic health records (EHRs) than in those using paper records. Although not definitive, the data suggest that EHRs may improve quality of care. Incentives to increase adoption and meaningful use of electronic health records (EHRs) anticipate a quality-related financial return. 1 , 2 However, empirical data showing either quality improvement or cost savings from EHR adoption are scarce. Available studies have shown few quality-related advantages of current EHR systems over traditional paper-based medical-record systems. 1 – 5 Projected cost savings are mostly based on models with largely unsupported assumptions about adherence to and the effect of fully functional EHR systems. 6 , 7 Data are particularly scarce on EHR adoption by “priority primary care providers” — health care professionals practicing in small groups and those serving vulnerable populations, as . . .

After 5 years of follow-up in this trial, the rates of the composite outcome of death, stroke, myocardial infarction, renal failure, or repeat revascularization were similar with off-pump and on-pump CABG. There was also no significant difference in cost or in quality of life. Coronary-artery bypass grafting (CABG) reduces the risk of death in patients with extensive coronary artery disease. 1 CABG is usually performed with the use of a cardiopulmonary bypass (on-pump CABG). With this approach, perioperative mortality is approximately 2%, with an additional 5 to 9% of patients having myocardial infarction, stroke, or renal failure requiring dialysis. The technique of performing CABG on a beating heart (off-pump CABG) was developed to decrease the risk of perioperative complications and to improve long-term outcomes; some complications, both perioperative and long term, may be related to the use of cardiopulmonary bypass and to cross-clamping of the . . .