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Article ; Online: Health within illness: The negativity of vulnerability revised.

Zagorac, Ivana / Stamenković Tadić, Barbara

2022 Volume 25, Issue 2, Page(s) 207–217

Abstract: This paper attempts to philosophically articulate empirical evidence on the positive effects of illness within the wider context of a discussion of the positive aspects of vulnerability. The conventional understanding holds that to be vulnerable is to be ...

Abstract	This paper attempts to philosophically articulate empirical evidence on the positive effects of illness within the wider context of a discussion of the positive aspects of vulnerability. The conventional understanding holds that to be vulnerable is to be open to harms and wrongs; it is to be fragile, defenseless, and of compromised autonomy. In this paper, we challenge the assumption that vulnerability consists of nothing but powerlessness and dependence on others. This paper attempts to: (1) outline the theoretical conceptualisation of the positive aspects of coping with illness, while simultaneously showing how these findings provide empirical support for some classical philosophical ideas; (2) influence a change in the manners in which the ill are usually perceived (as weak, dependent, robbed of a good life) and (3) point to the importance of modernising the prevalent biomedical conception of illness with the subjective dimension of health. Biomedical understanding of illness focuses on the vulnerable experience of the sufferer, suggesting the importance of philosophical additions.
MeSH term(s)	Adaptation, Psychological ; Humans
Language	English
Publishing date	2022-02-08
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1440052-2
ISSN	1572-8633 ; 1386-7423
ISSN (online)	1572-8633
ISSN	1386-7423
DOI	10.1007/s11019-022-10072-5
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Zs.A 5054: Show issues

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Article ; Online: Provoked seizures at the onset of progressive disease contribute to diagnosis delay - A tertiary center experience in a cohort of 22 children with CLN2.

Kravljanac, Ruzica / Vucetic Tadic, Biljana

European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society

2022 Volume 40, Page(s) 1–4

Abstract: Purpose: The evaluation of epilepsy features and factors with impact to diagnosis delay in children with CLN2.: Method: The study included children with CLN2 treated from 2000 to 2020. Diagnosis was confirmed by: TPP1 deficiency and/or TPP1 gene ... ...

Abstract	Purpose: The evaluation of epilepsy features and factors with impact to diagnosis delay in children with CLN2. Method: The study included children with CLN2 treated from 2000 to 2020. Diagnosis was confirmed by: TPP1 deficiency and/or TPP1 gene mutation or pathognomonic electron microscopy findings. The seizure features were evaluated: the age of onset, provocation, semiology and EEG. The disease severity was assessed by CLN2 Clinical Rating Scale (CLN2-CRS). Statistical analysis included T test, chi-square test, Wilcoxon-Mann-Whitney test, using SPSS statistics 25. Result: The study included 22 children with CLN2. Seizures were experienced by all cases at the early stage of disease, preceded by language delay in 18, and behavior problems in 14 pts. The first seizure was provoked in 9 children at mean age of 33.8 ± 4.6 months, and unprovoked in 13 at mean age of 34.6 ± 2.7 months. In patients with provoked first seizure, the average period from the first seizure to diagnosis was longer (35.1 months), with lower CLN2-CRS, then in those with unprovoked (23.8 months) first seizures (p < 0.008). Initial seizures were generalized tonic-clonic (Pampiglione and Harden, 1973 Feb) [8], atonic (Pampiglione and Harden, 1973 Feb) [8], and focal (Beltrán et al., 2018 Aug) [4], with recurrence within two months. With progression, the patients experienced multiple seizure types, and 1/3 suffered status epilepticus. Conclusions: Provoked seizures at the onset of CLN2 have impact to diagnosis delay. The red flags are: preceding language delay and behavior problems, later FS onset comparing to the typical age, atonic, focal and long-lasting seizure, and recurrence of seizures within two months.
MeSH term(s)	Child ; Child, Preschool ; Delayed Diagnosis ; Humans ; Language Development Disorders ; Neuronal Ceroid-Lipofuscinoses/complications ; Neuronal Ceroid-Lipofuscinoses/diagnosis ; Neuronal Ceroid-Lipofuscinoses/genetics ; Seizures/diagnosis ; Seizures/etiology
Language	English
Publishing date	2022-06-30
Publishing country	England
Document type	Journal Article
ZDB-ID	1397146-3
ISSN	1532-2130 ; 1090-3798
ISSN (online)	1532-2130
ISSN	1090-3798
DOI	10.1016/j.ejpn.2022.06.014
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Zs.A 4867: Show issues			Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG)
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Article: Diagnostic challenge and surgical management of multiple pancreatic neuroendocrine tumors - A case report.

Jovanovic, S / Tadic, B / Knezevic, D J / Ostojic, S

Nigerian journal of clinical practice

2022 Volume 25, Issue 6, Page(s) 971–973

Abstract: Insulinoma is the most common functional solitary, benign pancreatic neuroendocrine tumor. In this paper, we share our experience of triple pancreatic insulinomas, with an idea to highlight the fact that despite the high frequency of solitary insulinoma, ...

Abstract	Insulinoma is the most common functional solitary, benign pancreatic neuroendocrine tumor. In this paper, we share our experience of triple pancreatic insulinomas, with an idea to highlight the fact that despite the high frequency of solitary insulinoma, there is the possibility of multiple lesions and point out the need for a systematic and detailed radiographic and clinical examination. A 33-year-old woman was admitted to our clinic due to chronic fatigue, sweating, sporadic episodes of palpitations, unsteady hands, and blurred images, which resolve spontaneously after a few minutes. A comprehensive radiological examination revealed two lesions in the pancreatic tail, highly indicative of neuroendocrine tumor - insulinoma, so we elected for surgical treatment. Intraoperative exploration by manual palpation and ultrasonography revealed two more lesions. In the case of sporadically distributed lesions in the pancreas and if it is not possible to accurately differentiate those that represent the insulinoma for sure, the surgical procedure should be delayed. Additionally, tests such as selective arterial calcium stimulation testing should be carried out, and then, with more information in hands, make a re-plan of the potential surgical treatment which should be made.
MeSH term(s)	Adult ; Female ; Humans ; Insulinoma/diagnostic imaging ; Insulinoma/surgery ; Neuroendocrine Tumors/diagnosis ; Neuroendocrine Tumors/surgery ; Pancreas ; Pancreatectomy/methods ; Pancreatic Neoplasms/diagnostic imaging ; Pancreatic Neoplasms/surgery
Language	English
Publishing date	2022-06-16
Publishing country	India
Document type	Case Reports
ZDB-ID	1458330-6
ISSN	1119-3077
ISSN	1119-3077
DOI	10.4103/njcp.njcp_1971_21
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Zs.A 4975: Show issues

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Article ; Online: Effect of hidden geometry and higher-order interactions on the synchronization and hysteresis behavior of phase oscillators on 5-clique simplicial assemblies.

Sahoo, Samir / Tadić, Bosiljka / Chutani, Malayaja / Gupte, Neelima

Physical review. E

2023 Volume 108, Issue 3-1, Page(s) 34309

Abstract: The hidden geometry of simplicial complexes can influence the collective dynamics of nodes in different ways depending on the simplex-based interactions of various orders and competition between local and global structural features. We study a system of ... ...

Abstract	The hidden geometry of simplicial complexes can influence the collective dynamics of nodes in different ways depending on the simplex-based interactions of various orders and competition between local and global structural features. We study a system of phase oscillators attached to nodes of four-dimensional simplicial complexes and interacting via positive/negative edges-based pairwise K_{1} and triangle-based triple K_{2}≥0 couplings. Three prototypal simplicial complexes are grown by aggregation of 5-cliques, controlled by the chemical affinity parameter ν, resulting in sparse, mixed, and compact architecture, all of which have 1-hyperbolic graphs but different spectral dimensions. By changing the interaction strength K_{1}∈[-4,2] along the forward and backward sweeps, we numerically determine individual phases of each oscillator and a global order parameter to measure the level of synchronization. Our results reveal how different architectures of simplicial complexes, in conjunction with the interactions and internal-frequency distributions, impact the shape of the hysteresis loop and lead to patterns of locally synchronized groups that hinder global network synchronization. Remarkably, these groups are differently affected by the size of the shared faces between neighboring 5-cliques and the presence of higher-order interactions. At K_{1}<0, partial synchronization is much higher in the compact community than in the assemblies of cliques sharing single nodes, at least occasionally. These structures also partially desynchronize at a lower triangle-based coupling K_{2} than the compact assembly. Broadening of the internal frequency distribution gradually reduces the synchronization level in the mixed and sparse communities, even at positive pairwise couplings. The order-parameter fluctuations in these partially synchronized states are quasicyclical with higher harmonics, described by multifractal analysis and broad singularity spectra.
Language	English
Publishing date	2023-10-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	2844562-4
ISSN	2470-0053 ; 2470-0045
ISSN (online)	2470-0053
ISSN	2470-0045
DOI	10.1103/PhysRevE.108.034309
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Article ; Online: Microscopic dynamics modeling unravels the role of asymptomatic virus carriers in SARS-CoV-2 epidemics at the interplay between biological and social factors.

Tadić, Bosiljka / Melnik, Roderick

Computers in biology and medicine

2021 Volume 133, Page(s) 104422

Abstract: The recent experience of SARS-CoV-2 epidemics spreading revealed the importance of passive forms of infection transmissions. Apart from the virus survival outside the host, the latent infection transmissions caused by asymptomatic and presymptomatic ... ...

Abstract	The recent experience of SARS-CoV-2 epidemics spreading revealed the importance of passive forms of infection transmissions. Apart from the virus survival outside the host, the latent infection transmissions caused by asymptomatic and presymptomatic hosts represent major challenges for controlling the epidemics. In this regard, social mixing and various biological factors play their subtle, but often critical, role. For example, a life-threatening condition may result in the infection contracted from an asymptomatic virus carrier. Here, we use a new recently developed microscopic agent-based modelling framework to shed light on the role of asymptomatic hosts and unravel the interplay between the biological and social factors of these nonlinear stochastic processes at high temporal resolution. The model accounts for each human actor's susceptibility and the virus survival time, as well as traceability along the infection path. These properties enable an efficient dissection of the infection events caused by asymptomatic carriers from those which involve symptomatic hosts before they develop symptoms and become removed to a controlled environment. Consequently, we assess how their relative proportions in the overall infection curve vary with changing model parameters. Our results reveal that these proportions largely depend on biological factors in the process, specifically, the virus transmissibility and the critical threshold for developing symptoms, which can be affected by the virus pathogenicity. Meanwhile, social participation activity is crucial for the overall infection level, further modulated by the virus transmissibility.
MeSH term(s)	COVID-19 ; Epidemics ; Humans ; SARS-CoV-2 ; Social Factors ; Stochastic Processes
Language	English
Publishing date	2021-04-24
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	127557-4
ISSN	1879-0534 ; 0010-4825
ISSN (online)	1879-0534
ISSN	0010-4825
DOI	10.1016/j.compbiomed.2021.104422
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Article ; Online: Modeling latent infection transmissions through biosocial stochastic dynamics

Tadic, B. / Melnik, R.

Abstract: The events of the recent SARS-CoV-02 epidemics have shown the importance of social factors, especially given the large number of asymptomatic cases that effectively spread the virus, which can cause a medical emergency to very susceptible individuals. ... ...

Abstract	The events of the recent SARS-CoV-02 epidemics have shown the importance of social factors, especially given the large number of asymptomatic cases that effectively spread the virus, which can cause a medical emergency to very susceptible individuals. Besides, the SARS-CoV-02 virus survives for several hours on different surfaces, where a new host can contract it with a delay. These passive modes of infection transmission remain an unexplored area for traditional mean-field epidemic models. Here, we design an agent-based model for simulations of infection transmission in an open system driven by the dynamics of social activity; the model takes into account the personal characteristics of individuals, as well as the survival time of the virus and its potential mutations. A growing bipartite graph embodies this biosocial process, consisting of active carriers (host) nodes that produce viral nodes during their infectious period. With its directed edges passing through viral nodes between two successive hosts, this graph contains complete information about the routes leading to each infected individual. We determine temporal fluctuations of the number of exposed and the number of infected individuals, the number of active carriers and active viruses at hourly resolution. The simulated processes underpin the latent infection transmissions, contributing significantly to the spread of the virus within a large time window. More precisely, being brought by social dynamics and exposed to the currently existing infection, an individual passes through the infectious state until eventually spontaneously recovers or otherwise is moves to a controlled hospital environment. Our results reveal complex feedback mechanisms that shape the dependence of the infection curve on the intensity of social dynamics and other sociobiological factors. In particular, the results show how the lockdown effectively reduces the spread of infection and how it increases again after the lockdown is removed. Furthermore, a reduced level of social activity but prolonged exposure of susceptible individuals have adverse effects. On the other hand, virus mutations that can gradually reduce the transmission rate by hopping to each new host along the infection path can significantly reduce the extent of the infection, but can not stop the spreading without additional social strategies. Our stochastic processes, based on graphs at the interface of biology and social dynamics, provide a new mathematical framework for simulations of various epidemic control strategies with high temporal resolution and virus traceability.
Keywords	covid19
Publisher	MedRxiv; WHO
Document type	Article ; Online
DOI	10.1101/2020.07.30.20164491
Database	COVID19

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Book ; Online: Self-Organised Criticality and Emergent Hyperbolic Networks -- Blueprint for Complexity in Social Dynamics

Tadic, Bosiljka

2018

Abstract: Online social dynamics based on human endeavours exhibit prominent complexity in the emergence of new features embodied in the appearance of collective social values. The vast amount of empirical data collected at various websites provides a unique ... ...

Abstract	Online social dynamics based on human endeavours exhibit prominent complexity in the emergence of new features embodied in the appearance of collective social values. The vast amount of empirical data collected at various websites provides a unique opportunity to quantitative study od the underlying social dynamics in full analogy with complex systems in the physics laboratory. Here, we briefly describe the extent of these analogies and indicate the methods from other science disciplines that the physics theory can incorporate to provide the adequate description of human entities and principles of their self-organisation. We demonstrate the approach on two examples using the empirical data regarding the knowledge creation processes in online chats and questions-and-answers. Precisely, we describe the self-organised criticality as the acting mechanisms in the social knowledge-sharing dynamics and demonstrate the emergence of the hyperbolic geometry of the co-evolving networks that underlie these stochastic processes. Comment: 10 pages, 10 figures
Keywords	Physics - Physics and Society ; Computer Science - Social and Information Networks
Subject code	300
Publishing date	2018-09-05
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Modeling latent infection transmissions through biosocial stochastic dynamics.

Tadić, Bosiljka / Melnik, Roderick

PloS one

2020 Volume 15, Issue 10, Page(s) e0241163

Abstract: The events of the recent SARS-CoV-2 epidemics have shown the importance of social factors, especially given the large number of asymptomatic cases that effectively spread the virus, which can cause a medical emergency to very susceptible individuals. ... ...

Abstract	The events of the recent SARS-CoV-2 epidemics have shown the importance of social factors, especially given the large number of asymptomatic cases that effectively spread the virus, which can cause a medical emergency to very susceptible individuals. Besides, the SARS-CoV-2 virus survives for several hours on different surfaces, where a new host can contract it with a delay. These passive modes of infection transmission remain an unexplored area for traditional mean-field epidemic models. Here, we design an agent-based model for simulations of infection transmission in an open system driven by the dynamics of social activity; the model takes into account the personal characteristics of individuals, as well as the survival time of the virus and its potential mutations. A growing bipartite graph embodies this biosocial process, consisting of active carriers (host) nodes that produce viral nodes during their infectious period. With its directed edges passing through viral nodes between two successive hosts, this graph contains complete information about the routes leading to each infected individual. We determine temporal fluctuations of the number of exposed and the number of infected individuals, the number of active carriers and active viruses at hourly resolution. The simulated processes underpin the latent infection transmissions, contributing significantly to the spread of the virus within a large time window. More precisely, being brought by social dynamics and exposed to the currently existing infection, an individual passes through the infectious state until eventually spontaneously recovers or otherwise is moves to a controlled hospital environment. Our results reveal complex feedback mechanisms that shape the dependence of the infection curve on the intensity of social dynamics and other sociobiological factors. In particular, the results show how the lockdown effectively reduces the spread of infection and how it increases again after the lockdown is removed. Furthermore, a reduced level of social activity but prolonged exposure of susceptible individuals have adverse effects. On the other hand, virus mutations that can gradually reduce the transmission rate by hopping to each new host along the infection path can significantly reduce the extent of the infection, but can not stop the spreading without additional social strategies. Our stochastic processes, based on graphs at the interface of biology and social dynamics, provide a new mathematical framework for simulations of various epidemic control strategies with high temporal resolution and virus traceability.
MeSH term(s)	Asymptomatic Infections ; Betacoronavirus/genetics ; COVID-19 ; Coronavirus Infections/prevention & control ; Coronavirus Infections/transmission ; Coronavirus Infections/virology ; Disease Susceptibility ; Humans ; Interpersonal Relations ; Models, Statistical ; Mutation ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; Pneumonia, Viral/transmission ; Pneumonia, Viral/virology ; Quarantine/methods ; SARS-CoV-2 ; Stochastic Processes ; Time Factors
Keywords	covid19
Language	English
Publishing date	2020-10-23
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0241163
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Book ; Online: Effect of hidden geometry and higher-order interactions on the synchronization and hysteresis behaviour of phase oscillators on 5-cliques simplicial assemblies

Sahoo, Samir / Tadic, Bosiljka / Chutani, Malayaja / Gupte, Neelima

2023

Abstract	The hidden geometry of simplicial complexes can influence the collective dynamics of nodes in different ways depending on the simplex-based interactions of various orders and competition between local and global structural features. We study a system of phase oscillators attached to nodes of 4-dimensional simplicial complexes and interacting via positive/negative edges-based pairwise $K_1$ and triangle-based triple $K_2\geq 0$ couplings. Three prototypal simplicial complexes are grown by aggregation of 5-cliques, controlled by the chemical affinity parameter $\nu$, resulting in sparse, mixed, and compact architecture, all of which have 1-hyperbolic graphs but different spectral dimensions. By changing the interaction strength $K_1\in[-4,2]$ along the forward and backward sweeps, we numerically determine individual phases of each oscillator and a global order parameter to measure the level of synchronisation. Our results reveal how different architectures of simplicial complexes, in conjunction with the interactions and internal-frequency distributions, impact the shape of the hysteresis loop and lead to patterns of locally synchronised groups that hinder global network synchronisation. Comment: 9 pages, 7 figures; regular article, submitted
Keywords	Condensed Matter - Statistical Mechanics ; Nonlinear Sciences - Adaptation and Self-Organizing Systems
Subject code	612
Publishing date	2023-05-24
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Hysteresis and synchronization processes of Kuramoto oscillators on high-dimensional simplicial complexes with competing simplex-encoded couplings.

Chutani, Malayaja / Tadić, Bosiljka / Gupte, Neelima

Physical review. E

2021 Volume 104, Issue 3-1, Page(s) 34206

Abstract: Recent studies of dynamic properties in complex systems point out the profound impact of hidden geometry features known as simplicial complexes, which enable geometrically conditioned many-body interactions. Studies of collective behaviors on the ... ...

Abstract	Recent studies of dynamic properties in complex systems point out the profound impact of hidden geometry features known as simplicial complexes, which enable geometrically conditioned many-body interactions. Studies of collective behaviors on the controlled-structure complexes can reveal the subtle interplay of geometry and dynamics. Here we investigate the phase synchronization (Kuramoto) dynamics under the competing interactions embedded on 1-simplex (edges) and 2-simplex (triangles) faces of a homogeneous four-dimensional simplicial complex. Its underlying network is a 1-hyperbolic graph with the assortative correlations among the node's degrees and the spectral dimension that exceeds d_{s}=4. By numerically solving the set of coupled equations for the phase oscillators associated with the network nodes, we determine the time-averaged system's order parameter to characterize the synchronization level. Our results reveal a variety of synchronization and desynchronization scenarios, including partially synchronized states and nonsymmetrical hysteresis loops, depending on the sign and strength of the pairwise interactions and the geometric frustrations promoted by couplings on triangle faces. For substantial triangle-based interactions, the frustration effects prevail, preventing the complete synchronization and the abrupt desynchronization transition disappears. These findings shed new light on the mechanisms by which the high-dimensional simplicial complexes in natural systems, such as human connectomes, can modulate their native synchronization processes.
Language	English
Publishing date	2021-08-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	2844562-4
ISSN	2470-0053 ; 2470-0045
ISSN (online)	2470-0053
ISSN	2470-0045
DOI	10.1103/PhysRevE.104.034206
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