Belief on Witchcraft and Killing of People with Albinism in Lack Victoria Zone, Tanzania

Killing of people with albinism and old people has been featuring in Tanzania mass media and worldwide. The main cause of killing old people and people with albinism is witchcraft beliefs. Old women are reported to be killing grand children; whereas people with albinism were believed their part of the body when added with other potent traditional remedies brings fortune and prosperous. Witchcraft cannot be denied in indigenous African communities; however there might be other factors unexplored that lead to killing old people and people with albinism. The aim of this paper is to explore other factors that contribute to killing old people and people with albinism. Methodology: The study was carried in Lake Victoria zone, Tanzania using qualitative research methods. The main focus were to explore factors that lead to killing old people and people with albinism in addition to current belief of witchcraft. The collected information were analyzed using qualitatively techniques Results: The findings have shown any health problems including death need explanations that were sought through ramli. The ramli showed old people especially old women were noted to be killing grand children by witchcraft means. Other factors like wealth acquisition, jealous, misunderstanding in the day to day activities were also repotted. Whereas killing of people with albinism were due to the belief of that part of their body when added with potent traditional remedies brought fortune and prosperous to one requested. In addition it was noted that people with albinism were seen as bad omen or curse and were not wanted to leave. Lack of education on causes of health problems and people with albinism seemed to contribute to this problem. Public health education on causes of health problem and lack melanin to people with albinism which is important for skin pigmentation is needed

How Much Reliable Is the Current Belief on Grade Group 1 Prostate Cancer?

Objective: To evaluate the clinicopathological characteristics of grade group 1 (GG1) prostate cancer in Korean populations.Methods: We retrospectively analyzed 492 consecutive radical prostatectomy specimens from our institution, which included those from 322 men with clinical GG1 and 170 with clinical GG2 tumors between years 2009 and 2018. The incidence of Gleason score (GS) upgrading, extraprostatic extension (EPE), and seminal vesicle invasion (SVI) were evaluated in patients with clinical GG1. In pathological GG1 cases, the distribution of adverse pathological features including EPE, lymphovascular invasion (LVI), perineural invasion (PNI), and biochemical recurrence (BCR) was analyzed.Results: Altogether, 78 (24.2%) out of 322 men in the clinical GG1 group demonstrated upgrading of GS, including 19 men with pathological Gleason score 4 + 3 = 7 and 6 with ≥ pathological Gleason score 4 + 4 = 8 cases. EPE was found in 37 (11.5%) and 22 (8.9%) men in clinical GG1 and pathological GG1 group, respectively. The incidence of LVI and PNI in the pathological GG1 cases was 2.8% (n = 7) and 28.6% (n = 71), respectively. BCR was observed in 4 men in pathological GG1 T2 (n = 226) and 2 men in GG1 T3 (n = 22) group. When we compared the pathological features between pathological GG1 T3 vs. GG2 T2, there was no statistical differences in the incidence of LVI and PNI between the two groups.Conclusions: Contrary to the current concept that GG1 is almost always clinically insignificant, it seems that GG1 still possess its respectable position as a group of cancer with aggressiveness. These findings should be kept in mind when deciding on treatment options for prostate cancer patients in the Asian populations.

Effect of food matrix type on growth characteristics and hemolysin production of Vibrio alginolyticus

The growth and hemolysin production of two V. alginolyticus strains (HY9901 and ATCC17749T) at 30 °C in briny tilapia, shrimp, scallop, oyster, pork, chicken, freshwater fish and egg fried rice were investigated. Bacterial counts were enumerated by plate counting. Hemolysin production was evaluated by blood agar and hemolytic titer tests. The two V. alginolyticus strains displayed similar growth and hemolysin production patterns in the foods. Based on the goodness of fit primary model statistics (R 2 , MSE, BF, AF), the modified Gompertz model was a better fit to V. alginolyticus growth in foods than the logistic model. Growth kinetic parameters of V. alginolyticus displayed a higher μ max and shorter λ in briny tilapia > shrimp > freshwater fish > egg fried rice > scallop > oyster > chicken > pork. It was notable that the V. alginolyticus counts were similar at the stationary phase, with no significant growth behavior difference between raw and cooked foods. Significantly higher (p < 0.05) thermostable direct hemolysin (TDH) activity was produced by V. alginolyticus in briny tilapia > freshwater fish > shrimp > chicken > egg fried rice > scallop > oyster > pork. But the hemolytic titer was not consistent with the TDH activity, being significantly higher (p < 0.05) in briny tilapia > egg fried rice > shrimp > freshwater fish > chicken > scallop > oyster > pork. Contrary to current belief, V. alginolyticus displayed a higher hemolysin production in some non-seafoods (freshwater fish, egg fried rice and chicken) than in scallop or oyster. This is the first report of growth and toxicity of V. alginolyticus in different food matrices and confirmation that some non-seafood contaminated with V. alginolyticus can be even more pathogenic. This study will enhance the awareness of non-seafood safety and improve the V. alginolyticus risk assessment accuracy.

Osteogenic Differentiation of Renal Interstitial Fibroblasts Promoted by lncRNA MALAT1 May Partially Contribute to Randall’s Plaque Formation

BackgroundThe current belief is that Randall’s plaques (RP) constitute a nidus for the formation of idiopathic calcium oxalate stones, but the upstream events in RP formation remain unclear. The present study aimed to investigate whether RP formation shares similarities with biomineralization and to illustrate the potential role played by the lncRNA MALAT1 in osteogenic differentiation of human renal interstitial fibroblasts (hRIFs).Materials and MethodsBiomineralization and MALAT1 expression were assessed in RP, and hRIFs were isolated and induced under osteogenic conditions for further experiments. The transcription initiation and termination sites in MALAT1 were identified by 5′ and 3′ RACE. RNA immunoprecipitation assays and luciferase assays were used to validate the interactions among MALAT1, Runx2 and miRNAs.ResultsUpregulated expression of osteogenic markers and MALAT1 was observed in RP and hRIFs induced with osteogenic medium. Biomineralization in RP and calcium phosphate (CaP) deposits in induced hRIFs were further verified by electron microscopy. Furthermore, overexpression of MALAT1 promoted the osteogenic phenotype of hRIFs, while treatment with a miR-320a-5p mimic and knockdown of Runx2 significantly suppressed the osteogenic phenotype. Further analysis showed that MALAT1 functioned as a competing endogenous RNA to sponge miR-320a-5p, leading to upregulation of Runx2 and thus promoting osteogenic differentiation of hRIFs.ConclusionEctopic calcification and MALAT1 partially contributed to the formation of RP, in which MALAT1 might promote Runx2 expression to regulate osteogenic differentiation of hRIFs by sponging miRNA-320a-5p. The current study sheds new light on the lncRNA-directed mechanism of RP formation via a process driven by osteogenic-like cells.

Learning in Volatile Environments with the Bayes Factor Surprise

Surprise-based learning allows agents to rapidly adapt to nonstationary stochastic environments characterized by sudden changes. We show that exact Bayesian inference in a hierarchical model gives rise to a surprise-modulated trade-off between forgetting old observations and integrating them with the new ones. The modulation depends on a probability ratio, which we call the Bayes factor surprise, that tests the prior belief against the current belief. We demonstrate that in several existing approximate algorithms, the Bayes Factor Surprise modulates the rate of adaptation to new observations. We derive three novel surprise-based algorithms, one in the family of particle filters, one in the family of variational learning, and one in the family of message passing, that have constant scaling in observation sequence length and particularly simple update dynamics for any distribution in the exponential family. Empirical results show that these surprise-based algorithms estimate parameters better than alternative approximate approaches and reach levels of performance comparable to computationally more expensive algorithms. The Bayes Factor Surprise is related to but different from the Shannon Surprise. In two hypothetical experiments, we make testable predictions for physiological indicators that dissociate the Bayes factor surprise from the Shannon Surprise. The theoretical insight of casting various approaches as surprise-based learning, as well as the proposed online algorithms, may be applied to the analysis of animal and human behavior and to reinforcement learning in nonstationary environments.

Diagnosis of Stress fractures in military trainees: a large-scale cohort

IntroductionThe Israel Defense Forces (IDF) has strict protocols for the diagnosis and treatment of stress fractures wherein diagnosis is clinical with imaging used for persistent symptoms only. The purpose of this study was to examine the incidence of clinical and radiological stress fractures during IDF combat training.MethodsMedical records of all soldiers enlisted to combat training between 2014 and 2017 were scanned for the diagnosis of stress fractures. We examined the imaging tests ordered (plain radiographs and bone scans) and their results and the time between the clinical diagnosis to imaging tests.ResultsDuring 4 years, 62 371 soldiers (10.1% women) had started combat training, and 3672 of them (5.9%) were diagnosed with clinical stress fractures. Radiographs were ordered for 53.5% of those diagnosed, of whom 29.7% also had a bone scan. Some 42% of radiographs were taken within 21 days. Radiographs were positive for stress fractures in 11.1% of tests. Bone scans showed evidence of stress fractures in 49.7%, of which 49.2% diagnosed stress fractures in multiple bones.ConclusionThe high percentage of negative radiographs may indicate towards alternative causes for symptoms. Performing the radiograph before or after 21 days did not affect workup results diverting from current belief that later radiographs will be more sensitive. Multiple stress fractures are a common finding, indicating that the increased training load puts the whole musculoskeletal system at increased risk for injury. Research results may necessitate a revision of clinical guidelines for the diagnosis of stress fractures in military trainees.

Geometrical congruence and efficient greedy navigability of complex networks

Hyperbolic networks are supposed to be congruent with their underlying latent geometry and following geodesics in the hyperbolic space is believed equivalent to navigate through topological shortest paths (TSP). This assumption of geometrical congruence is considered the reason for nearly maximally efficient greedy navigation of hyperbolic networks. Here, we propose a complex network measure termed geometrical congruence (GC) and we show that there might exist different TSP, whose projections (pTSP) in the hyperbolic space largely diverge, and significantly differ from the respective geodesics. We discover that, contrary to current belief, hyperbolic networks do not demonstrate in general geometrical congruence and efficient navigability which, in networks generated with nPSO model, seem to emerge only for power-law exponent close to 2. We conclude by showing that GC measure can impact also real networks analysis, indeed it significantly changes in structural brain connectomes grouped by gender or age.

Specialized cutaneous Schwann cells initiate pain sensation

An essential prerequisite for the survival of an organism is the ability to detect and respond to aversive stimuli. Current belief is that noxious stimuli directly activate nociceptive sensory nerve endings in the skin. We discovered a specialized cutaneous glial cell type with extensive processes forming a mesh-like network in the subepidermal border of the skin that conveys noxious thermal and mechanical sensitivity. We demonstrate a direct excitatory functional connection to sensory neurons and provide evidence of a previously unknown organ that has an essential physiological role in sensing noxious stimuli. Thus, these glial cells, which are intimately associated with unmyelinated nociceptive nerves, are inherently mechanosensitive and transmit nociceptive information to the nerve.

Optimal Dynamic Allocation of Attention

We consider a decision maker (DM) who, before taking an action, seeks information by allocating her limited attention dynamically over different news sources that are biased toward alternative actions. Endogenous choice of information generates rich dynamics: the chosen news source either reinforces or weakens the prior, shaping subsequent attention choices, belief updating, and the final action. The DM adopts a learning strategy biased toward the current belief when the belief is extreme and against that belief when it is moderate. Applied to consumption of news media, observed behavior exhibits an “ echo-chamber” effect for partisan voters and a novel “ anti-echo-chamber” effect for moderates. (JEL D72, D83, D91, L82)

Retrospective surprise: A computational component for active inference

In the free energy principle (FEP), proposed by Friston, it is supposed that agents seek to minimize the “surprise”–the negative log (marginal) likelihood of observations (i.e., sensory stimuli)–given the agents' current belief. This is achieved by minimizing the free energy, which provides an upper bound on the surprise. The FEP has been applied to action selection in a framework called “active inference,” where agents are supposed to select an action so that they minimize the “expected free energy” (EFE). While the FEP and active inference have attracted the attention of researchers in a wide range of fields such as psychology and psychiatry, as well as neuroscience, it is not clear which psychological construct EFE is related to. To facilitate the discussion and interpretation of psychological processes underlying active inference, we introduce a computational component termed the “retrospective (or residual) surprise,” which is the surprise of an observation after updating the belief given the observation itself. We show that the predicted retrospective surprise (PRS) provides a lower bound on EFE: EFE is always larger than PRS. We illustrate the properties of EFE and PRS using examples of inference for a binary hidden cause given a binary observation. Essentially, EFE and PRS show similar behavior; however, in certain situations, they provide different predictions regarding action selection. This study also provides insights into the mechanism of active inference based on EFE.