Online Signature Biometrics for Mobile Devices.

This paper addresses issues concerning biometric authentication based on handwritten signatures. Our research aimed to check whether a handwritten signature acquired with a mobile device can effectively verify a user's identity. We present a novel online signature verification method using coordinates of points and pressure values at each point collected with a mobile device. Convolutional neural networks are used for signature verification. In this paper, three neural network models are investigated, i.e., two self-made light SigNet and SigNetExt models and the VGG-16 model commonly used in image processing. The convolutional neural networks aim to determine whether the acquired signature sample matches the class declared by the signer. Thus, the scenario of closed set verification is performed. The effectiveness of our method was tested on signatures acquired with mobile phones. We used the subset of the multimodal database, MobiBits, that was captured using a custom-made application and consists of samples acquired from 53 people of diverse ages. The experimental results on accurate data demonstrate that developed architectures of deep neural networks can be successfully used for online handwritten signature verification. We achieved an equal error rate (EER) of 0.63% for random forgeries and 6.66% for skilled forgeries.

Trial of Cardiovascular Risk Factor Assessment and Transthoracic Echocardiography Results in Patients with Primary Antibody Deficiency.

The life expectancy and the risk of developing cardiovascular diseases in patients with inborn errors of immunity are systematically increasing. The aim of the study was to assess cardiovascular risk factors and to evaluate the heart in echocardiography in patients with primary antibody deficiency (PAD). Cardiac echography and selected cardiovascular risk factors, including body mass index, sedentary lifestyle, nicotine, glucose, C-reactive protein, lipid profile, uric acid level, certain chronic diseases, and glucocorticoid use, were analyzed in 94 patients >18 years of age with PAD. Of the patients,25.5% had a cardiovascular disease (mostly hypertension, 18%), 10.5% smoked, 17% were overweight, 14% were obese, and 15% were underweight. Abnormal blood pressure was found in 6.5% of the patients. Lipid metabolism disorders were found in 72.5% of in the studied cohort, increased total cholesterol (45.5%), non-high-density lipoprotein (HDL) (51%), low-density lipoprotein (LDL) (47%), and triglycerides (32%) were observed. Furthermore, 28.5% had a decrease in HDL and 9.5% had a history of hyperuricemia. The average number of risk factors was 5 ± 3 for the entire population and 4 ± 2 for those under 40 years of age. Elevated uric acid levels were found de novo in 4% of participants. In particular, 74.5% of the patients had never undergone an echocardiogram with a successful completion rate of 87% among those tested. Among them, 30% showed parameters within normal limits, primarily regurgitation (92.5%). New pathologies were identified in 28% of patients. Prevention in patients with PAD, aimed at reducing cardiovascular risk, should be a priority.

Bridging Requirements, Planning, and Evaluation: A Review of Social Robot Navigation.

Navigation lies at the core of social robotics, enabling robots to navigate and interact seamlessly in human environments. The primary focus of human-aware robot navigation is minimizing discomfort among surrounding humans. Our review explores user studies, examining factors that cause human discomfort, to perform the grounding of social robot navigation requirements and to form a taxonomy of elementary necessities that should be implemented by comprehensive algorithms. This survey also discusses human-aware navigation from an algorithmic perspective, reviewing the perception and motion planning methods integral to social navigation. Additionally, the review investigates different types of studies and tools facilitating the evaluation of social robot navigation approaches, namely datasets, simulators, and benchmarks. Our survey also identifies the main challenges of human-aware navigation, highlighting the essential future work perspectives. This work stands out from other review papers, as it not only investigates the variety of methods for implementing human awareness in robot control systems but also classifies the approaches according to the grounded requirements regarded in their objectives.

Points to Consider in Health Assessment of Adult Patients with Primary Antibody Deficiencies.

An improved recognition of inborn errors of immunity (IEI) is associated with an increase in life expectancy and a higher incidence of complications and related conditions. The aim of the study was to analyze factors enabling the primary prevention: BMI, smoking and selected laboratory tests (morphology with smear, creatinine, eGFR, total protein, albumin, ferritin, folic acid, vitamin B12, vitamin D3) included in the protocols of standard of care for adult patients with primary antibody deficiencies (PADs). The study included 94 participants ≥ 18 years old, diagnosed with PADs. Overweight was found in 17%, obesity in 14% and underweight in 15% of patients; 11.5% of patients smoked. Leukopenia was diagnosed in 16%, neutropenia in 8.5%, lymphopenia in 22.5% and thrombocytopenia in 14% of patients. A decreased concentration of hemoglobin was found in 32%, total protein in 19%, albumin in 17%, vitamin D3 in 52%, vitamin B12 in 6.5%, folic acid in 34% and ferritin in 26% of patients. Creatinine concentrations were elevated in 16% of patients, while in 20%, eGFR was reduced. Only a holistic assessment of comorbidities and complications of deficiency, as well as regular follow-up and lifestyle changes, can yield the best results in the long-term care of patients.

Siamese Neural Network for Keystroke Dynamics-Based Authentication on Partial Passwords.

The paper addresses issues concerning secure authentication in computer systems. We focus on multi-factor authentication methods using two or more independent mechanisms to identify a user. User-specific behavioral biometrics is widely used to increase login security. The usage of behavioral biometrics can support verification without bothering the user with a requirement of an additional interaction. Our research aimed to check whether using information about how partial passwords are typed is possible to strengthen user authentication security. The partial password is a query of a subset of characters from a full password. The use of partial passwords makes it difficult for attackers who can observe password entry to acquire sensitive information. In this paper, we use a Siamese neural network and n-shot classification using past recent logins to verify user identity based on keystroke dynamics obtained from the static text. The experimental results on real data demonstrate that keystroke dynamics authentication can be successfully used for partial password typing patterns. Our method can support the basic authentication process and increase users' confidence.

Assessment of the post-SARS-CoV-2 vaccination response depending on the epidemiological status, demographic parameters and levels of selected cytokines in medical personnel.

Introduction: SARS-CoV-2 is responsible for causing the COVID-19 disease, which affected 174 million people worldwide. After vaccines were launched, the focus was on their effectiveness and the degree of their safety. Aim: The authors try to find factors that may affect the response to vaccination. Material and methods: The study was conducted in 47 adults (39 women and 8 men; age: 47.3 ±11.2). Participants were vaccinated with two doses of the Comirnaty mRNA vaccine. Each patient had a medical history taken and the concentration of specific sIgG antibodies against S1 protein and SARS-CoV-2 N protein, as well as of selected cytokines (IL-8, TGF-ß, IFN-γ) was determined before and 3 weeks after the first and second dose of the vaccine. Results: There were 18 convalescents among the respondents. A statistically significant increase in the concentration of specific sIgG S1 in subsequent determinations was observed. Higher levels of sIgG S1 were found after the first dose of the vaccine in COVID-19 convalescents. There was no statistically significant influence of age, body mass index and sex on the increase in the concentration of antibodies and the concentration of the determined cytokines. It was shown that the higher the initial TGF-ß concentration, the greater the increase in sIgG S1 after administration of the vaccine. Conclusions: Vaccination did not increase the levels of IL-8, IFN-ß and TGF-γ. A higher concentration of serum TGF-ß before vaccination correlated with the higher concentration of sIgG S1 antibodies after the first dose of the vaccine.

Protocols of Standard of Care for Adult Patients with Primary Antibody Deficiencies Will Improve Timing of Diagnosis, Survival, and Quality of Life.

The majority of primary immunodeficiencies (PIDs) are antibody deficiencies (PADs), and not all of them are rare diseases; As an example, Caucasian individuals suffer from selective IgA deficiency at a frequency of 1:500. In addition to infections, symptomatic patients with PAD are more likely to develop neoplastic, autoimmune, and allergic diseases. In the event that PAD is neglected or delayed for more than ten years, complications develop, eventually resulting in death. No studies have been conducted to devise and report detailed ready-to-use protocols for managing PAD to date. This study aimed to propose protocols and guidelines for the adult PAD patients' standard care. Preparing the protocol, we considered the frequency and type of laboratory tests, imaging, endoscopic examinations, specialist consultations, and standardized recommendations for further care in the place of residence.  As a result of the proposed monitoring scheme, patients can be provided with complete care in terms of their underlying conditions and comorbidities, as well as early detection of complications. This protocol will serve as a guide for physicians dealing with these patients and enable comparisons of patient groups across a variety of treatment centers, even far away from each other. A national consultant in the field of clinical immunology verified the protocol mainly developed by Polish experts from reference immunology centres for adults.

A multicenter survey on the aspects of everyday life in adult patients with primary antibody deficiencies treated with immunoglobulin G replacement during the COVID-19 pandemic.

INTRODUCTION: The COVID-19 pandemic has changed many aspects of everyday life. Patients with primary immunodeficiency (PID) are in a particularly difficult situation. The purpose of the present study was to contribute to the very limited research on the everyday aspects of functioning in PID patients during the COVID-19 pandemic. METHODS: The survey included 85 adult PID patients treated with immunoglobulin replacement therapy in four reference centers for immunology. Everyday functioning of the patients as well as their opinion concerning new solutions in medical care were analyzed. RESULTS: During the pandemic, the percentage of patients experiencing fear/anxiety has increased from 47% to 70%. The wide dissemination of information about the SARS-CoV-2 in the media has increased anxiety in 40% of the patients. Patients diagnosed with PID were most afraid of the exposure to contact with strangers, especially in public places. As many as 67 respondents (79%) considered the introduction of restrictions concerning social functioning as good. Only every fifth person learned about the pandemic from reliable sources. Eighty three percent of the patients receiving immunoglobulin substitution experienced less fear of SARS-CoV-2 infection. The patients positively evaluated the solutions related to the direct delivery of drugs to the place of residence in order to continue home IgRT therapy. Fifty three respondents (62.5%) believed that the possibility of a remote consultation was a very good solution. CONCLUSION: It is necessary to increase educational activities concerning the pandemic provided by health care professionals, as patients obtain information mainly from the media and the Internet, which adversely affects the feeling of anxiety. The pandemic, in addition to the very negative impact on patients and the deterioration of their daily functioning, has made patients appreciate their life more, devote more time to family and friends, and do things they like.

Intelligent Mobile Wireless Network for Toxic Gas Cloud Monitoring and Tracking.

Intelligent wireless networks that comprise self-organizing autonomous vehicles equipped with punctual sensors and radio modules support many hostile and harsh environment monitoring systems. This work's contribution shows the benefits of applying such networks to estimate clouds' boundaries created by hazardous toxic substances heavier than air when accidentally released into the atmosphere. The paper addresses issues concerning sensing networks' design, focussing on a computing scheme for online motion trajectory calculation and data exchange. A three-stage approach that incorporates three algorithms for sensing devices' displacement calculation in a collaborative network according to the current task, namely exploration and gas cloud detection, boundary detection and estimation, and tracking the evolving cloud, is presented. A network connectivity-maintaining virtual force mobility model is used to calculate subsequent sensor positions, and multi-hop communication is used for data exchange. The main focus is on the efficient tracking of the cloud boundary. The proposed sensing scheme is sensitive to crucial mobility model parameters. The paper presents five procedures for calculating the optimal values of these parameters. In contrast to widely used techniques, the presented approach to gas cloud monitoring does not calculate sensors' displacements based on exact values of gas concentration and concentration gradients. The sensor readings are reduced to two values: the gas concentration below or greater than the safe value. The utility and efficiency of the presented method were justified through extensive simulations, giving encouraging results. The test cases were carried out on several scenarios with regular and irregular shapes of clouds generated using a widely used box model that describes the heavy gas dispersion in the atmospheric air. The simulation results demonstrate that using only a rough measurement indicating that the threshold concentration value was exceeded can detect and efficiently track a gas cloud boundary. This makes the sensing system less sensitive to the quality of the gas concentration measurement. Thus, it can be easily used to detect real phenomena. Significant results are recommendations on selecting procedures for computing mobility model parameters while tracking clouds with different shapes and determining optimal values of these parameters in convex and nonconvex cloud boundaries.

Fear of stinging insects in relation to state anxiety and trait anxiety in a group of patients with hymenoptera venom allergy undergoing immunotherapy.

INTRODUCTION: The level of fear of hymenoptera associated with stinging or envenomation may depend on situational factors and on trait anxiety characteristic of each patient. AIM: To assess the relationship between fear of stinging insects on the one hand and state anxiety and trait anxiety on the other in a group of patients with hymenoptera venom allergy. MATERIAL AND METHODS: The study was conducted by the Department of Allergy, Clinical Immunology and Internal Diseases, Dr J. Biziel University Hospital No. 2 in Bydgoszcz, Poland. A total of 114 patients (71 women (63%) and 43 men (37%)) with hymenoptera venom allergy undergoing immunotherapy participated in the study. The State-Trait Anxiety Inventory (STAI) and a dedicated scale developed by the authors for this study were used. RESULTS: State anxiety was found to significantly (p < 0.05) correlate with anxiety in the present moment (R = 0.247), in a situation of real danger (appearance of an insect) (R = 0.223) and during the spring and summer seasons (R = 0.278). Trait anxiety was found to significantly (p < 0.05) correlate with anxiety before immunotherapy (R = 0.261), in the present moment (R = 0.257), in a situation of real danger (appearance of an insect) (R = 0.254), and after an insect sting (R = 0.236). These were also weak correlations. The correlation between trait anxiety and anxiety during the spring and summer seasons was moderate (R = 0.331). CONCLUSIONS: The levels of trait and state anxiety are associated with the magnitude of the fear of the danger. Respondents showed a higher level of anxiety in a situation of danger and after an insect sting.

Determination of antibodies in everyday rheumatological practice.

Antibody determination is routinely used in everyday rheumatological practice. Its result repeatedly determines the diagnosis or exclusion of a particular disease. Antibodies are immunoglobulins, i.e. some of the most important proteins in the immune system, and have specific properties that we should know. In addition, there are a number of factors that can affect their concentration, including drugs commonly used in the treatment of rheumatic diseases. There are definite indications, when the total concentrations of individual classes of immunoglobulins should be initially determined and it should be evaluated whether the patient produces them at all or their production is impaired. In some cases, we should evaluate the levels of specific antibodies along with the total protein concentration and the γ-globulin fraction, in which the antibodies are contained. The article presents information on the most common mistakes made when performing these tests.

Lifelong immunoglobulin replacement is not always necessary: A case description of a patient with recurrent infections and hypogammaglobulinemia.

Humoral immunodeficiency with accompanying infections is an indication for human immunoglobulin replacement therapy. Whether treatment will be lifelong or necessary only temporarily depends on the nature of deficiency: primary (persistent) or secondary (persistent or transient). It is not always easy to distinguish between primary and secondary immunodeficiency, especially in adults. The article presents a case of a 39-year-old patient with anamnesis and medical tests results that suggested primary humoral immunodeficiency. The deficiency was diagnosed for the first time at the age of 38, when the patient was pregnant. The patient was qualified for immunoglobulin G replacement therapy. Clinical improvement was achieved. After the end of pregnancy, systematic improvement in immunological parameters was observed, suggesting the resolution of immunodeficiency. A decision was made to discontinue immunoglobulin replacement. Due to the ability to respond to vaccine, confirmed during diagnosis, preventive vaccines were recommended. There was no recurrence of serious infections. The clinical course finally enabled a diagnosis of secondary immunodeficiency. The presented case shows the importance of an active approach to the diagnostic and therapeutic process, constant assessment of clinical course, monitoring of IgG concentrations, and the awareness that in the situation when we do not have a genetic confirmation of the disease, the diagnosis may change.

A Movement-Assisted Deployment of Collaborating Autonomous Sensors for Indoor and Outdoor Environment Monitoring.

Using mobile robots or unmanned vehicles to assist optimal wireless sensors deployment in a working space can significantly enhance the capability to investigate unknown environments. This paper addresses the issues of the application of numerical optimization and computer simulation techniques to on-line calculation of a wireless sensor network topology for monitoring and tracking purposes. We focus on the design of a self-organizing and collaborative mobile network that enables a continuous data transmission to the data sink (base station) and automatically adapts its behavior to changes in the environment to achieve a common goal. The pre-defined and self-configuring approaches to the mobile-based deployment of sensors are compared and discussed. A family of novel algorithms for the optimal placement of mobile wireless devices for permanent monitoring of indoor and outdoor dynamic environments is described. They employ a network connectivity-maintaining mobility model utilizing the concept of the virtual potential function for calculating the motion trajectories of platforms carrying sensors. Their quality and utility have been justified through simulation experiments and are discussed in the final part of the paper.

Analysis of the quality of life of patients with asthma and allergic rhinitis after immunotherapy.

AIM: To assess the quality of life of Polish patients with asthma and/or allergic rhinitis before the implementation and after 30-36 months of immunotherapy. MATERIAL AND METHODS: Two hundred patients have been involved in the study: 101 with allergic asthma and 99 with pollinosis. In order to collect research material, the Polish versions of AQLQ (Asthma Quality of Life) and RQLQ (Rhinoconjunctivitis Quality of Life) questionnaires have been used. The self-administered questionnaires concerned such data as age, sex and the patients' subjective evaluation of their quality of life. RESULTS: The average increase in quality of life of patients with asthma was 0.84 and of patients with allergic rhinitis - 1.50. A hypothesis was made that changes of quality of life in each examined group differed significantly. A test for two fractions showed that for patients with asthma it was 7.74 and for patients with allergic rhinitis - 10.38. A statistical analysis showed no such relation in the group of patients with asthma (coefficient of correlation = 0.08) and a slight correlation in the group of patients with allergic rhinitis (coefficient of correlation = 0.20). Applied tests did not show any significant differences, which means that an average increase in quality of life does not depend on sex and age of both examined groups. CONCLUSIONS: On the basis of the research conducted among patients before and after a 3-year period of immunotherapy, the following conclusions have been drawn: 1) immunotherapy significantly improves the objective quality of life in both groups; 2) a slight correlation has been identified between the objective and subjective dimension of quality of life amongst patients with asthma, what contributes to a better quality of life; 3) in both study groups, no significant relationship between gender or age and improvement in quality of life has been noted; 4) immunotherapy, from the point of view of the improvement of quality of life, is a valuable therapeutic tool in patients with atopic bronchial asthma and allergic rhinitis.

Role of E-selectin and platelet endothelial cell adhesion molecule 1 in gastritis in food allergy patients.

INTRODUCTION: The prevalence of food allergies and other allergic reactions is increasing worldwide, particularly in highly-urbanized populations. Cell adhesion molecules are expressed in response to various pro-inflammatory cytokines. The expression of intercellular adhesion molecule 1 - ICAM-1 (CD54), ICAM-1 (CD106), P-selectin (CD62P), and E-selectin (CD62E) on vascular endothelial cells is induced by such pro-inflammatory cytokines as tumor necrosis factor α (TNF-α) and interleukin-1 (IL-1). AIM: To analyze concentrations of E-selectin and platelet endothelial cell adhesion molecule-1 (PECAM-1) in patients with an allergic type of food sensitivity co-existing with gastritis and to compare them to the values determined in individuals with dyspeptic symptoms not associated with allergic disorders. MATERIAL AND METHODS: The study included 80 patients, among them 50 individuals with food sensitivity confirmed based on compulsory standards, and 30 subjects with dyspeptic symptoms not accompanied by allergic conditions. Venous blood samples were taken from each patient and concentrations of E-selectin and PECAM-1 were determined by means of ELISA. RESULTS: Mean concentrations of sE-selectin and sPECAM-1 in patients with food allergy amounted to 54.0 ±21.6 ng/ml and 132.8 ±31.4 ng/ml, respectively. In individuals without food allergy, mean concentrations of sE-selectin and sPECAM-1 were 57.7 ±17.9 ng/ml and 139.6 ±31.1 ng/ml, respectively. Patients with food allergy and individuals with dyspeptic symptoms not associated with food allergy did not differ significantly in terms of sE-selectin concentrations (Mann-Whitney U-test, p = 0.453028). Similarly, no significant intergroup differences were observed with regard to sPECAM-1 concentrations (Mann-Whitney U-test, p = 0.231054). CONCLUSIONS: Adhesion molecules play an important role in the development of inflammation. This study did not find significant differences in the concentrations of such molecules as sE-selectin and sPECAM-1 between patients with food allergy and gastritis, and subjects in whom gastritis was not accompanied by atopic disorders. A positive correlation between the concentrations of sPECAM-1 and E-selectin was observed in food allergy patients. Consequently, it can be concluded that these molecules participate in the pathogenesis of the inflammatory process independently of the etiopathogenesis of gastritis.

Analysis of the impact of selected socio-demographic factors on quality of life of asthma patients.

AIM: To evaluate the influence of selected socio-demographic factors on quality of life of patients with different degrees of asthma severity. MATERIAL AND METHODS: The study was conducted in 2009-2010 in the Clinic of Allergology, Clinical Immunology and Internal Diseases in Dr J. Biziel University Hospital No. 2 in Bydgoszcz. Patients were divided into a tested group (126) and a control group (86). The criterion for the division was the degree of asthma control according to GINA 2006. The following tools were used: the author's questionnaire containing questions about socio-demographic and clinical data, and the WHOQOL-100. RESULTS: In the tested group, a statistically significant correlation was observed between quality of life and age (p < 0.002 for the entire population), education (p < 0.05 in the group with controlled asthma, p = 0.0005 for the entire population), professional activity (p < 0.003 in the group with partially controlled asthma, p < 0.05 with uncontrolled asthma and p < 0.0001 in the entire population), marital status (p = 0.025 for the entire population) and financial situation (p < 0.0001; p < 0.0002; p < 0.009 in all groups; p < 0.0001 in the entire population). There was no significant difference between quality of life, and sex and the place of residence of the respondents. CONCLUSIONS: Age, education, professional activity, marital status and financial situation affect the assessment of quality of life in patients with asthma. Socio-demographic factors such as sex and the place of residence do not influence the assessment of quality of life in patients with asthma.