Notes

Position regarding avocado shell biochar and also earthworms (Eudrilus euginea) inside bioremediation as well as palak oatmeal (Spinacia oleracea D.) growth in cadmium-contaminated earth.
These bidirectional changes are consistent with our hypothesis that second-order fear conditioning involves the formation of competing S2-danger and S2-safety associations. More generally, they show that a single set of experiences can produce contradictory associations and that the brain resolves the contradiction by encoding these associations in distinct brain regions.
This study aimed at investigating gender differences in the relationship between sociodemographic factors and suicide mortality, as well as in the method used for suicide and the presence of comorbidities in an older population in Italy.

We conducted a historical cohort study based on individual record linkage across the 15th Italian Population Census, the Italian Population Register, and the National Register of Causes of Death. Suicides among people aged 75years or older from 2012 to 2017 were analyzed. Crude mortality rates were computed, and cause-specific mortality rate ratios were estimated using negative binomial regression models. Chi-square tests were used to evaluate significant gender differences in suicide methods and comorbidities associated with suicide.

The study included 9,686,698 individuals (41% men, 59% women). Compared to living alone, living with children or partners reduced suicide mortality, especially among men. Having high or medium educational levels was associated with lower mortality than low educational levels among men. Foreign citizens had lower mortality among men, but not among women. Living in urban areas was associated with lower suicide rates in men and higher rates in women. Methods of suicide significantly differed by gender leading methods were hanging, strangulation, and suffocation in men, and falling from height in women. Mental comorbidity was significantly more frequent among women, especially at ages 75-84years.

We believe that our findings might help to promote public health strategies taking gender differences in old age into account to improve social support and quality of life of older men and women.
We believe that our findings might help to promote public health strategies taking gender differences in old age into account to improve social support and quality of life of older men and women.Light exposure at night impedes sleep and shifts the circadian clock. An extensive body of literature has linked sleep deprivation and circadian misalignment with cardiac disease, cancer, mental health disorders, and other chronic illnesses, as well as more immediate risks, such as motor vehicle crashes and occupational injuries. In this issue of the Journal, Zhong et al. (Am J Epidemiol. 2022;191(9)1532-1539) build on this literature, finding that in a cohort of 50,000 California teachers, artificial light at night, noise, green space, and air pollution were all associated with sleep disturbances. Light, noise, air pollution, and the lack of green space are problems inequitably distributed across the population, concentrated among vulnerable populations in inner cities. Zhong et al. provide novel data on the manner in which these local environmental exposures drive sleep deprivation. Future research should explore the degree to which place-based disparities in sleep in turn drive disparities in short and long-term health. Addressing home-based sleep disparities could be an avenue to addressing systemic racism and achieving environmental justice.For billions of years, life has continuously adapted to dynamic physical conditions near the Earth's surface. Fossils and other preserved biosignatures in the paleontological record are the most direct evidence for reconstructing the broad historical contours of this adaptive interplay. However, biosignatures dating to Earth's earliest history are exceedingly rare. Here, we combine phylogenetic inference of primordial rhodopsin proteins with modeled spectral features of the Precambrian Earth environment to reconstruct the paleobiological history of this essential family of photoactive transmembrane proteins. Our results suggest that ancestral microbial rhodopsins likely acted as light-driven proton pumps and were spectrally tuned toward the absorption of green light, which would have enabled their hosts to occupy depths in a water column or biofilm where UV wavelengths were attenuated. Subsequent diversification of rhodopsin functions and peak absorption frequencies was enabled by the expansion of surface ecological niches induced by the accumulation of atmospheric oxygen. Inferred ancestors retain distinct associations between extant functions and peak absorption frequencies. Our findings suggest that novel information encoded by biomolecules can be used as "paleosensors" for conditions of ancient, inhabited niches of host organisms not represented elsewhere in the paleontological record. The coupling of functional diversification and spectral tuning of this taxonomically diverse protein family underscores the utility of rhodopsins as universal testbeds for inferring remotely detectable biosignatures on inhabited planetary bodies.We propose a two-way additive model with group-specific interactions, where the group information is unknown. We treat the group membership as latent information and propose an EM algorithm for estimation. With a single observation matrix and under the situation of diverging row and column numbers, we rigorously establish the estimation consistency and asymptotic normality of our estimator. see more Extensive simulation studies are conducted to demonstrate the finite sample performance. We apply the model to the triple negative breast cancer (TNBC) gene expression data and provide a new way to classify patients into different subtypes. Our analysis detects the potential genes that may be associated with TNBC.Recently, microfluidic techniques have been widely applied for biomaterial droplet manipulations due to their precision and efficiency. Many biosamples such as deoxyribonucleic acid and blood samples are non-Newtonian fluids with complex rheology, which brings challenges in control over them. The electric field is characterized by fast response and excellent adaptation to control microscale fluid flow. Here, we systematically investigate the alternating current electric field-assisted formation of non-Newtonian droplet in a flow-focusing microchannel with different sizes of channel orifice. The dependencies of flow conditions, microchannel geometries and electric parameters on the dynamics of non-Newtonian droplet formation are thus elucidated. An effective capacitance electric model is developed to reveal and predict the interaction between the fluid flow and the electric field. Furthermore, the flow field of non-Newtonian droplet formation is captured via the high-speed microparticle image velocimetry system. The characteristics of the regimes of droplet formation and the influences of the channel orifice are revealed quantitatively. Our work offers elaborate references to the control of non-Newtonian droplet formation, which benefits a wide range of applications in biology and chemistry.Bioprosthetic valve thrombosis (BPVT) is a growing recognized entity, especially with the increasing use of the valve in vale procedures and the advent of new detection technologies (e.g., 4D CT and 4D echocardiography). The incidence of BPVT is higher in transcatheter valves than surgically implanted bioprosthetic valves. However, the best thromboprophylaxis regimen and optimal management strategy in the acute context remain unknown. This paper presents a case of early thrombosis following the percutaneous tricuspid valve in vale procedure that was successfully managed with thrombolysis.Herein, the concept of constructing binder- and carbon additive-free organosulfur cathode was proved based on thiol-containing conducting polymer poly(4-(thiophene-3-yl) benzenethiol) (PTBT). The PTBT featured the polythiophene-structure main chain as a highly conducting framework and the benzenethiol side chain to copolymerize with sulfur and form a crosslinked organosulfur polymer (namely S/PTBT). Meanwhile, it could be in-situ deposited on the current collector by electro-polymerization, making it a binder-free and free-standing cathode for Li-S batteries. The S/PTBT cathode exhibited a reversible capacity of around 870 mAh g-1 at 0.1 C and improved cycling performance compared to the physically mixed cathode (namely S&PTBT). This multifunction cathode eliminated the influence of the additives (carbon/binder), making it suitable to be applied as a model electrode for operando analysis. Operando X-ray imaging revealed the remarkable effect in the suppression of polysulfides shuttle via introducing covalent bonds, paving the way for the study of the intrinsic mechanisms in Li-S batteries.
Stent has often been used as an internal surrogate to monitor intrafraction tumor motion during pancreatic cancer radiotherapy. Based on the stent contours generated from planning CT images, the current intrafraction motion review (IMR) system on Varian TrueBeam only provides a tool to verify the stent motion visually but lacks quantitative information. The purpose of this study is to develop an automatic stent recognition method for quantitative intrafraction tumor motion monitoring in pancreatic cancer treatment.

A total of 535 IMR images from 14 pancreatic cancer patients were retrospectively selected in this study, with the manual contour of the stent on each image serving as the ground truth. We developed a deep learning-based approach that integrates two mechanisms that focus on the features of the segmentation target. The objective attention modeling was integrated into the U-net framework to deal with the optimization difficulties when training a deep network with 2D IMR images and limited traininal segmentation. The proposed technique could be a useful tool for quantitative intrafraction motion monitoring in pancreatic cancer radiotherapy.
Cancer survivors' satisfaction with life should be seen through the psychological factors related to a person's capabilities to face and handle the situation. This study aimed to (1) examine the relationships of satisfaction with life, posttraumatic growth, resilience and coping strategies in a global network model, (2) find the bridge indicators between satisfaction with life and the other constructs, and (3) test for the invariance of the network structures across several moderating variables.

In a heterogeneous sample of 696 cancer survivors (69% female; mean age=53.1±15.44years; median time from being diagnosed=4years; breast cancer was the most frequent type of cancer) their satisfaction with life, resilience, coping strategies and posttraumatic growth was measured. In order to account for their complexity, the relationships between the constructs were explored using a network analysis approach.

The network analysis shows that satisfaction with life is strongly connected to resilience, moderately connected to coping strategies, and has a weak connection with posttraumatic growth. In the separate networks, the relationships between the psychological constructs were examined in greater detail. Besides some exceptions observed in the degree of disability, the networks were invariant across gender, age, years since being diagnosed, cancer type and treatment type.

The findings suggest that interventions focused on cancer survivors' coping strategies and resilience could help increase their satisfaction with life. However, further replication of the proposed and/or modified model is needed.
The findings suggest that interventions focused on cancer survivors' coping strategies and resilience could help increase their satisfaction with life. However, further replication of the proposed and/or modified model is needed.
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