Psychological burden and disease-related quality of life in dialysis patients during the first wave of the COVID-19 pandemic - a cross-sectional observational study. / Obciazenie psychiczne a jakosc zycia zwiazana z choroba u pacjentów dializowanych podczas pierwszej fali pandemii COVID-19 - przekrojowe badanie obserwacyjne.

OBJECTIVES: Since the first reports of the spread of the new SARS-CoV-2 virus, experts have pointed to the possible psychological consequences of the pandemic. In this study, we tried to answer the question of whether the level of perceived stress related to the pandemic affects the quality of life related to the disease and the functioning of patients on peritoneal and hemodialysis. METHODS: Out of 106 patients from the dialysis center of the University Clinical Hospital in Wroclaw during the first wave of the pandemic, 73 patients were enrolled, including 61 hemodialysis (HD) and 12 peritoneal dialysis (PD). The study used The Perceived Stress Scale (PSS), The General Health Questionnaire (GHQ-28), The Impact of Events Scale-Revised (IES-R), and The Kidney Disease and Quality of Life (KDQOL-SF™). RESULTS: Nearly half of the respondents (48%) experienced psychological distress and 5.6% of the respondents showed clinically significant psychopathological symptoms (GHQ). Half of the study group declared a significant occurrence of post-traumatic stress symptoms (IES-R). A high score of subjectively perceived stress related to the pandemic was observed in both study groups. Numerous significant negative correlations were found between the results of the KDQOL subscales and psychopathological symptoms (IES-R and GHQ) without significant differences between the two groups (HD vs. PD). Almost all KDQOL subscales were significantly moderately or strongly correlated with the level of perceived stress related to the pandemic. CONCLUSIONS: The level of subjectively assessed stress related to the pandemic and the severity of psychopathological symptoms, including post-traumatic stress, were significant in the entire group of patients undergoing renal replacement therapy, regardless of the dialysis type. Numerous confirmed relationships between the domains of the quality of life related to the disease and the level of perceived stress and psychopathological symptoms indicate an urgent need to provide effective psychological support to this group of patients and to develop preventive programs in the field of mental health of people undergoing renal replacement therapy.

The Compression Optimality of Asymmetric Numeral Systems.

Source coding has a rich and long history. However, a recent explosion of multimedia Internet applications (such as teleconferencing and video streaming, for instance) renews interest in fast compression that also squeezes out as much redundancy as possible. In 2009 Jarek Duda invented his asymmetric numeral system (ANS). Apart from having a beautiful mathematical structure, it is very efficient and offers compression with a very low coding redundancy. ANS works well for any symbol source statistics, and it has become a preferred compression algorithm in the IT industry. However, designing an ANS instance requires a random selection of its symbol spread function. Consequently, each ANS instance offers compression with a slightly different compression ratio. The paper investigates the compression optimality of ANS. It shows that ANS is optimal for any symbol sources whose probability distribution is described by natural powers of 1/2. We use Markov chains to calculate ANS state probabilities. This allows us to precisely determine the ANS compression rate. We present two algorithms for finding ANS instances with a high compression ratio. The first explores state probability approximations in order to choose ANS instances with better compression ratios. The second algorithm is a probabilistic one. It finds ANS instances whose compression ratios can be made as close to the best ratio as required. This is done at the expense of the number θ of internal random "coin" tosses. The algorithm complexity is O(θL3), where L is the number of ANS states. The complexity can be reduced to O(θLlog2L) if we use a fast matrix inversion. If the algorithm is implemented on a quantum computer, its complexity becomes O(θ(log2L)3).

Coping of Chronically-Ill Patients during the COVID-19 Pandemic: Comparison between Four Groups.

In many countries, the COVID-19 pandemic led to healthcare reorganization limiting access to diagnostic or therapeutic procedures for chronically-ill patients. In this article, we describe the psychological consequences and coping strategies of several groups of chronically-ill patients. During the cross-sectional survey conducted in 2020, we enrolled 398 patients with four different chronic conditions (psoriasis, multiple sclerosis, and patients who have undergone a kidney transplant or received dialysis). The study sample was examined regarding the experienced stress levels (Perceived Stress Scale) and coping strategies (Brief-COPE). All four groups of patients most commonly declared using problem-focused coping strategies and least commonly reported the use of avoidant coping. Higher levels of perceived stress strongly correlated with self-blaming. The participants who declared previous psychiatric treatment or psychotherapy were more likely to use self-blaming, behavioral disengagement, substance use, and avoidant coping, while previous psychotherapy additionally correlated with emotion-focused coping. Group comparison identifies patients with a chronic neurological disease, such as multiple sclerosis, at higher risk of a less beneficial coping profile than kidney transplant recipients. Further focus on education and early interventions in at-risk individuals is needed, and widely targeted mental health programs are indicated in order to improve the mental health of patients suffering from chronic diseases.

Exponentially Decreasing Critical Detection Efficiency for Any Bell Inequality.

We address the problem of closing the detection efficiency loophole in Bell experiments, which is crucial for real-world applications. Every Bell inequality has a critical detection efficiency η that must be surpassed to avoid the detection loophole. Here, we propose a general method for reducing the critical detection efficiency of any Bell inequality to arbitrary low values. This is accomplished by entangling two particles in N orthogonal subspaces (e.g., N degrees of freedom) and conducting N Bell tests in parallel. Furthermore, the proposed method is based on the introduction of penalized N-product (PNP) Bell inequalities, for which the so-called simultaneous measurement loophole is closed, and the maximum value for local hidden-variable theories is simply the Nth power of the one of the Bell inequality initially considered. We show that, for the PNP Bell inequalities, the critical detection efficiency decays exponentially with N. The strength of our method is illustrated with a detailed study of the PNP Bell inequalities resulting from the Clauser-Horne-Shimony-Holt inequality.

What Do We Know about Social and Non-Social Factors Influencing the Pathway from Cognitive Health to Dementia? A Systematic Review of Reviews.

The heterogeneous and multi-factorial nature of dementia requires the consideration of all health aspects when predicting the risk of its development and planning strategies for its prevention. This systematic review of reviews provides a comprehensive synthesis of those factors associated with cognition in the context of dementia, identifying the role of social aspects and evidencing knowledge gaps in this area of research. Systematic reviews and meta-analyses from 2009-2021 were searched for within Medline, PsycINFO, CINAHL Complete, Cochrane, and Epistemonikos. Reviewers independently screened, reviewed, and assessed the records, following the PRISMA-2020 guidelines. From 314 included studies, 624 cognitive-related factors were identified, most of them risk factors (61.2%), mainly belonging to the group of 'somatic comorbidities' (cardiovascular disease and diabetes) and 'genetic predispositions'. The protective factors (20%) were mainly related to lifestyle, pointing to the Mediterranean diet, regular physical activity, and cognitively stimulating activities. Social factors constituted 9.6% of all identified factors. Research on biological and medical factors dominates the reviewed literature. Greater social support and frequent contact may confer some protection against cognitive decline and dementia by delaying its onset or reducing the overall risk; however, overall, our findings are inconsistent. Further research is needed in the fields of lifestyle, psychology, social health, and the protective factors against cognitive decline and dementia.

Psychopathological Symptoms Among Chronically Ill Patients During SARS-CoV-2 Pandemic in Poland.

Introduction: The global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic had a drastic psychological and economic impact on the global population. Having a chronic disease during the pandemic is associated with numerous limitations and challenges like regular hospital visits, access to health-care units and getting specialized treatment. In addition, chronically ill patients are at great risk of acquiring the SARS-CoV-2 virus and at experiencing a more severe course of illness, due to comorbid conditions as well as more frequent encounters with health-care workers and other patients in medical facilities. The aim of this study was to examine the psychological disturbances, during the pandemic in chronically ill patients. Methods: During the cross-sectional survey conducted between May and October 2020, 398 patients with four different chronic conditions (psoriasis, multiple sclerosis and patients who have undergone a kidney transplant or received dialysis). Study sample was examined regarding the occurrence of psychopathological symptoms (General Health Questionnaire 28) and their perceived stress levels (Perceived Stress Scale). Results: The highest scores were found in the MS group and the lowest scores were found in the kidney transplantation group in every subscale of the GHQ-28. Close to half of the studied population (48.74%, n = 193) patients scored above the cut-off for psychopathology. Conclusion: As the study was conducted during the SARS-CoV-2 pandemic in Poland, it stands to reason that the pandemic affected the psychological wellbeing of chronically ill patients. A COVID-19 infection, being quarantined and having had contact with a person who was infected, did not significantly affect the outcome measures; however, further research is needed to explore this topic.

Mapping the complexity of dementia: factors influencing cognitive function at the onset of dementia.

BACKGROUND: Dementia is a multi-factorial condition rather than a natural and inevitable consequence of ageing. Some factors related to dementia have been studied much more extensively than others. To gain an overview of known or suspected influential factors is a prerequisite to design studies that aim to identify causal relationships and interactions between factors. This article aims to develop a visual model that a) identifies factors related to cognitive decline that signal the onset of dementia, b) structures them by different domains and c) reflects on and visualizes the possible causal links and interactions between these factors based on expert input using a causal loop diagram. METHOD: We used a mixed-method, step-wise approach: 1. A systematic literature review on factors related to cognitive decline; 2. A group model building (GMB) workshop with experts from different disciplines; 3. Structured discussions within the group of researchers. The results were continuously synthesized and graphically transformed into a causal loop diagram. RESULTS: The causal loop diagram comprises 73 factors that were structured into six domains: physical (medical) factors (23), social health factors (21), psychological factors (14), environmental factors (5), demographic factors (5) and lifestyle factors (3). 57 factors were identified in the systematic literature review, additionally 16 factors, mostly of the social health cluster, were identified during the GMB session and the feedback rounds. CONCLUSION: The causal loop diagram offers a comprehensive visualisation of factors related to cognitive decline and their interactions. It supports the generation of hypotheses on causal relationships and interactions of factors within and between domains.

Burden of COVID-19 Pandemic Perceived by Polish Patients with Multiple Sclerosis.

People with multiple sclerosis (MS) were expected to be particularly affected by the COVID-19 pandemic. The purpose of the study was to evaluate the burden of pandemic, perceived by Polish MS patients, with regard to major contributing factors. The survey, conducted in August/September 2020, included: Perceived Stress Scale (PSS-10), Coping Orientations to Problems Experienced (Brief-COPE), questions on demographic data, MS characteristics, and health-related and social aspects of pandemic burden. Relationships were searched between PSS-10 and Mini-COPE results and other analyzed items, using U Mann-Whitney test, Kruskal-Wallis ANOVA rank test and Spearman rank correlation. The survey was answered by 287 MS patients (208 female, 79 male, aged 21-69 years). Since March 2020, 2.4% of respondents had been positive for COVID-19 and 5.2% had undergone a quarantine. Mean PSS-10 score was 19.99, with moderate or high level of stress in 83.3% of respondents. Problem-focused strategies were more frequently used than emotion-focused strategies (1.76 vs. 1.16). Higher PSS-10 score was associated with comorbidities (H = 4.28), increase in major MS symptoms during the pandemic (21.92 vs. 18.06), experience of healthcare limitations (21.12 vs. 17.98), work-related (22.58 vs. 18.69), financial (22.70 vs. 18.83) and family-related problems (22.54 vs. 17.73) due to pandemic restrictions. A coping model was associated with functional disability and limitations to daily activities (H = 7.81). During the first stage of the pandemic, MS patients reported increased level of stress and preferred problem-focused coping. The level of stress and coping showed more relationships with pandemic impact upon social issues than with MS-related variables.

Information Causality without Concatenation.

Information causality is a physical principle which states that the amount of randomly accessible data over a classical communication channel cannot exceed its capacity, even if the sender and the receiver have access to a source of nonlocal correlations. This principle can be used to bound the nonlocality of quantum mechanics without resorting to its full formalism, with a notable example of reproducing the Tsirelson's bound of the Clauser-Horne-Shimony-Holt inequality. Despite being promising, the latter result found little generalization to other Bell inequalities because of the limitations imposed by the process of concatenation, in which several nonsignaling resources are put together to produce tighter bounds. In this work, we show that concatenation can be successfully replaced by limits on the communication channel capacity. It allows us to rederive and, in some cases, significantly improve all the previously known results in a simpler manner and apply the information causality principle to previously unapproachable Bell scenarios.

Diffuse axonal injury - an interdisciplinary problem. Current knowledge and two case reports. / Rozlany uraz aksonalny ­ problem interdyscyplinarny. Stan wiedzy i opis dwóch przypadków klinicznych.

Diffuse axonal injury (DAI) is a microscopic damage of axons in the brain. Its occurrence results from head trauma with acceleration or deceleration. This article presents current knowledge about DAI and two cases of patients who experienced DAI as a consequence of a traffic accident. A26 years old man was brought to hospital after traffic accident during which his vehicle had overturned. Computed tomography (CT) showed features of brain edema and disseminated small petechiae. Psychiatric consultation on ninth day of hospitalization showed memory deficits presenting as retrograde and anterograde amnesia, attention deficits and lack of criticism in regard to his condition. A 38 years old woman who was hit by a car while cycling was admitted to hospital. CT scan showed features of brain edema, subarachnoid hemorrhage and multiple fractures. On the tenth day of hospitalization the patient was confused, did not remember new information, her psychomotor drive was increased and she presented lack of criticism in regard to her condition. While suspecting DAI we should be vigilant, particularly in cases of patients hospitalized due to traffic accidents with behavioral problems, features of amnestic syndrome and without significant focal neurological symptoms.

Gut microbiota in dementia. Critical review of novel findings and their potential application.

There is a great deal of impetus for the comprehensive understanding of the complete pathological function, genetic information, and functional diversity of the gut microbiota that favors the development of dementia. It has been reported that patients with mild cognitive impairment and Alzheimer's disease present with several metabolic and immune-inflammatory alterations. The recently highlighted aspects of human health linked to cognitive decline include insulin-resistance, obesity, and chronic low-grade inflammation. Gut microbiota is known to produce neurotransmitters, such as GABA, acetylcholine, dopamine or serotonin, vitamins, intestinal toxins, and modulate nerve signaling - with emphasis on the vagus nerve. Additionally, gut dysbiosis results in impaired synthesis of signaling proteins affecting metabolic processes relevant to the development of Alzheimer's disease. Due to numerous links of gut microbiota to crucial metabolic and inflammatory pathways, attempts aimed at correcting the gut microflora composition may affect dementia pathology in a pleiotropic manner. Taking advantage of the metabolic effects of cold exposure on organisms by the introduction of whole-body cryostimulation in dementia patients could lead to alterations in gut microbiota and, therefore, decrease of an inflammatory response and insulin resistance, which remain one of the critical metabolic features of dementia. Further studies are needed in order to explore the potential application of recent findings and ways of achieving the desired goals.

Entropy in Foundations of Quantum Physics.

Entropy can be used in studies on foundations of quantum physics in many different ways, each of them using different properties of this mathematical object [...].

Quality of life, depression and anxiety in living donor kidney transplantation.

Due to its numerous advantages, transplantation from a living kidney donor is the best method of renal replacement therapy. However, the characteristics of the procedure require to consider well-being of not only the recipient, but also the donor - a person who suddenly becomes a patient despite former good health. The living donation is a selfless act, but also a decision that may endanger one's own health. The aim of this article was to review the current knowledge concerning the quality of life, symptoms of anxiety and depression occurring among living kidney donors and recipients. In order to do that, we performed a systematic research in the PubMed, Google Scholar and CINAHL databases for the years 2000-2019 with the use of key words. The inclusion and exclusion criteria were met by only 15 articles. This study shows that the mental state of donors is generally better than that of recipients. Additionally, reduction of anxiety and depression as well as increase in the quality of life occurs in both donors and recipients in the post-transplant period compared to the time before surgery. Further research is needed on this topic in order to improve psychological aspects of care of live kidney donors and recipients.

Effects of Polychlorinated Pesticides and Their Metabolites on Phospholipid Organization in Model Microbial Membranes.

Polychlorinated pesticides (PPs) were classified as persistent organic pollutants because of their toxicity, limited degradability in the environment, bioaugmentation, and accumulation in animal tissues. PPs accumulate in the environment mainly in the soils and water sediments where they are toxic to the decomposer organisms including soil bacteria and fungi. Therefore, there is an urgent need to search for the microorganisms capable of PP biodegradation which could be applied for soil bioremediation. The exact mechanism of PP microbial toxicity is unknown; however, there is evidence that it can be membrane related. To shed light on the interactions of PPs with microbial membranes, we applied Langmuir monolayers formed by phospholipids as model biomembranes. The model membranes were formed by phospholipids typical to microbial membranes: cardiolipins and phosphatidylglycerols the main components of Gram positive bacteria membranes, phosphatidylcholine typical to fungal membranes, as well as phosphatidylethanolamine found in the inner membranes of Gram negative bacteria. For the studies, the most ecotoxic PPs and their water-soluble metabolites were chosen. The monolayers were studied with the application of mutually complementary techniques: Langmuir technique, grazing incidence X-ray diffraction, and PM-IRRAS spectroscopy. It turned out that the cyclodiene PPs are more membrane active than monocyclic PPs and that the possibility of their incorporation is strictly related to the phospholipid structure. The membranes prepared with cardiolipin turned out to be especially resistant to PP incorporation. Regarding the metabolites, pentachlorophenol turned out to be especially structure breaking, affecting the molecular organization of all of the investigated phospholipids.

Connections between Mutually Unbiased Bases and Quantum Random Access Codes.

We present a new quantum communication complexity protocol, the promise-quantum random access code, which allows us to introduce a new measure of unbiasedness for bases of Hilbert spaces. The proposed measure possesses a clear operational meaning and can be used to investigate whether a specific number of mutually unbiased bases exist in a given dimension by employing semidefinite programming techniques.

Certifying an Irreducible 1024-Dimensional Photonic State Using Refined Dimension Witnesses.

We report on a new class of dimension witnesses, based on quantum random access codes, which are a function of the recorded statistics and that have different bounds for all possible decompositions of a high-dimensional physical system. Thus, it certifies the dimension of the system and has the new distinct feature of identifying whether the high-dimensional system is decomposable in terms of lower dimensional subsystems. To demonstrate the practicability of this technique, we used it to experimentally certify the generation of an irreducible 1024-dimensional photonic quantum state. Therefore, certifying that the state is not multipartite or encoded using noncoupled different degrees of freedom of a single photon. Our protocol should find applications in a broad class of modern quantum information experiments addressing the generation of high-dimensional quantum systems, where quantum tomography may become intractable.

On the security of semi-device-independent QKD protocols.

While fully device-independent security in (BB84-like) prepare-and-measure quantum key distribution (QKD) is impossible, it can be guaranteed against individual attacks in a semi-device-independent (SDI) scenario, wherein no assumptions are made on the characteristics of the hardware used except for an upper bound on the dimension of the communicated system. Studying security under such minimal assumptions is especially relevant in the context of the recent quantum hacking attacks wherein the eavesdroppers can not only construct the devices used by the communicating parties but are also able to remotely alter their behavior. In this work, we study the security of a SDIQKD protocol based on the prepare-and-measure quantum implementation of a well-known cryptographic primitive, the random access code (RAC). We consider imperfect detectors and establish the critical values of the security parameters (the observed success probability of the RAC and the detection efficiency) required for guaranteeing security against eavesdroppers with and without quantum memory. Furthermore, we suggest a minimal characterization of the preparation device in order to lower the requirements for establishing a secure key.

Quantum-mechanical machinery for rational decision-making in classical guessing game.

In quantum game theory, one of the most intriguing and important questions is, "Is it possible to get quantum advantages without any modification of the classical game?" The answer to this question so far has largely been negative. So far, it has usually been thought that a change of the classical game setting appears to be unavoidable for getting the quantum advantages. However, we give an affirmative answer here, focusing on the decision-making process (we call 'reasoning') to generate the best strategy, which may occur internally, e.g., in the player's brain. To show this, we consider a classical guessing game. We then define a one-player reasoning problem in the context of the decision-making theory, where the machinery processes are designed to simulate classical and quantum reasoning. In such settings, we present a scenario where a rational player is able to make better use of his/her weak preferences due to quantum reasoning, without any altering or resetting of the classically defined game. We also argue in further analysis that the quantum reasoning may make the player fail, and even make the situation worse, due to any inappropriate preferences.

MQAPsingle: A quasi single-model approach for estimation of the quality of individual protein structure models.

We present a Model Quality Assessment Program (MQAP), called MQAPsingle, for ranking and assessing the absolute global quality of single protein models. MQAPsingle is quasi single-model MQAP, a method that combines advantages of both "pure" single-model MQAPs and clustering MQAPs. This approach results in higher accuracy compared to the state-of-the-art single-model MQAPs. Notably, the prediction for a given model is the same regardless if this model is submitted to our server alone or together with other models. Proteins 2016; 84:1021-1028. © 2015 Wiley Periodicals, Inc.

Harvesting entropy for random number generation for internet of things constrained devices using on-board sensors.

Entropy in computer security is associated with the unpredictability of a source of randomness. The random source with high entropy tends to achieve a uniform distribution of random values. Random number generators are one of the most important building blocks of cryptosystems. In constrained devices of the Internet of Things ecosystem, high entropy random number generators are hard to achieve due to hardware limitations. For the purpose of the random number generation in constrained devices, this work proposes a solution based on the least-significant bits concatenation entropy harvesting method. As a potential source of entropy, on-board integrated sensors (i.e., temperature, humidity and two different light sensors) have been analyzed. Additionally, the costs (i.e., time and memory consumption) of the presented approach have been measured. The results obtained from the proposed method with statistical fine tuning achieved a Shannon entropy of around 7.9 bits per byte of data for temperature and humidity sensors. The results showed that sensor-based random number generators are a valuable source of entropy with very small RAM and Flash memory requirements for constrained devices of the Internet of Things.