Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells

The commercial development of perovskite solar cells (PSCs) has been significantly delayed by the constraint of performing time-consuming degradation studies under real outdoor conditions. These are necessary steps to determine the device lifetime, an area where PSCs traditionally suffer. In this work, we demonstrate that the outdoor degradation behavior of PSCs can be predicted by employing accelerated indoor stability analyses. The prediction was possible using a swift and accurate pipeline of machine learning algorithms and mathematical decompositions. By training the algorithms with different indoor stability data sets, we can determine the most relevant stress factors, thereby shedding light on the outdoor degradation pathways. Our methodology is not specific to PSCs and can be extended to other PV technologies where degradation and its mechanisms are crucial elements of their widespread adoption.

A role of BPTF in viral oncogenicity delineated through studies of heritable Kaposi sarcoma

Kaposi sarcoma (KS), caused by Herpesvirus-8 (HHV-8; KSHV), shows sporadic, endemic, and epidemic forms. While familial clustering of KS was previously recorded, the molecular basis of hereditary predilection to KS remains largely unknown. We demonstrate through genetic studies that a dominantly inherited missense mutation in BPTF segregates with a phenotype of classical KS in multiple immunocompetent individuals in two families. Using an rKSHV.219-infected CRISPR/cas9-model, we show that BPTFI2012T mutant cells exhibit higher latent-to-lytic ratio, decreased virion production, increased LANA staining, and latent phenotype in viral transcriptomics. RNA-sequencing demonstrated that KSHV infection dysregulated oncogenic-like response and P53 pathways, MAPK cascade, and blood vessel development pathways, consistent with KS. BPTFI2012T also enriched pathways of viral genome regulation and replication, immune response, and chemotaxis, including downregulation of IFI16, SHFL HLAs, TGFB1, and HSPA5, all previously associated with KSHV infection and tumorigenesis. Many of the differentially expressed genes are regulated by Rel-NF-κB, which regulates immune processes, cell survival, and proliferation and is pivotal to oncogenesis. We thus demonstrate BPTF mutation-mediated monogenic hereditary predilection of KSHV virus-induced oncogenesis, and suggest BPTF as a drug target.

Robust Photocontrol of Elastin-like Polypeptide Phase Transition with a Genetically Encoded Arylazopyrazole

The rational design of light-responsive proteins and protein-based polymers requires both a photoswitch with suitable light-responsive properties and the ability to incorporate it at (multiple) defined positions in the protein chain. This Letter describes the evolution of high-performance aminoacyl-tRNA synthetases for recognizing a photoswitchable arylazopyrazole-bearing unnatural amino acid (AAP-uAA), which we then incorporated at multiple sites within elastin-like polypeptides (ELPs). The incorporation of AAP-uAA into ELPs yielded proteins capable of an isothermal, reversible, and robust light-mediated soluble-to-insoluble phase transition, which occurred faster (after only 1 min of light irradiation) and demonstrated a larger transition temperature difference (up to a 45 °C difference in the ELP transition temperature upon a cis to trans AAP isomerization) than similar azobenzene-containing ELPs. The evolved translation machinery can be used for the multisite incorporation of AAP at the polypeptide level; moreover, it constitutes a general methodology for designing light-responsive proteins and protein-based polymers with robust light-responsive behavior, made possible by the superior photoswitchable properties of AAP.

Multifunctional Nanoscale Platform for the Study of T Cell Receptor Segregation

T cells respond not only to biochemical stimuli transmitted through their activating, costimulatory, and inhibitory receptors but also to biophysical aspects of their environment, including the receptors' spatial arrangement. While these receptors form nanoclusters that can either colocalize or segregate, the roles of these colocalization and segregation remain unclear. Deciphering these roles requires a nanoscale platform with independent and simultaneous spatial control of multiple types of receptors. Herein, using a straightforward and modular fabrication process, we engineered a tunable nanoscale chip used as a platform for T cell stimulation, allowing spatial control over the clustering and segregation of activating, costimulatory, and inhibitory receptors. Using this platform, we showed that, upon blocked inhibition, cells became sensitive to changes in the nanoscale ligand configuration. The nanofabrication methodology described here opens a pathway to numerous studies, which will produce an important insight into the molecular mechanism of T cell activation. This insight is essential for the fundamental understanding of our immune system as well as for the rational design of future immunotherapies.

On-Demand, Reversible, Ultrasensitive Polymer Membrane Based on Molecular Imprinting Polymer

The development of in vivo, longitudinal, real-time monitoring devices is an essential step toward continuous, precision health monitoring. Molecularly imprinted polymers (MIPs) are popular sensor capture agents that are more robust than antibodies and have been used for sensors, drug delivery, affinity separations, assays, and solid-phase extraction. However, MIP sensors are typically limited to one-time use due to their high binding affinity (>10⁷ M^-1) and slow-release kinetics (<10^-4 μM/sec). To overcome this challenge, current research has focused on stimuli-responsive MIPs (SR-MIPs), which undergo a conformational change induced by external stimuli to reverse molecular binding, requiring additional chemicals or outside stimuli. Here, we demonstrate fully reversible MIP sensors based on electrostatic repulsion. Once the target analyte is bound within a thin film MIP on an electrode, a small electrical potential successfully releases the bound molecules, enabling repeated, accurate measurements. We demonstrate an electrostatically refreshed dopamine sensor with a 760 pM limit of detection, linear response profile, and accuracy even after 30 sensing-release cycles. These sensors could repeatedly detect <1 nM dopamine released from PC-12 cells in vitro, demonstrating they can longitudinally measure low concentrations in complex biological environments without clogging. Our work provides a simple and effective strategy for enhancing the use of MIPs-based biosensors for all charged molecules in continuous, real-time health monitoring and other sensing applications.

"As if we are branded with the mark of Cain": stigma, guilt, and shame experienced by COVID-19 survivors in Israel - a qualitative study

Stigma is associated with harmful health outcomes, and it fuels social and health inequalities. It can undermine social cohesion and encourage social exclusion of groups, which may contribute to secrecy about disease symptoms, avoidance of disease testing and vaccination, and further spread of a contagious illness. Stigmatization is a social process set to exclude those who are perceived to be a potential source of disease and may pose a threat to effective interpersonal and social relationships. In this qualitative study, we delved into the stigmatization experiences of twenty COVID-19 recovered patients during the COVID-19 first wave, using in-depth semi-structured interviews conducted during November 2020. Using thematic analysis, we found that the process of stigmatization was all-encompassing, from the stage of diagnosis throughout the duration of the disease and the recovery phases. On the basis of the data, we hypothesized that stigma is a significant public health concern, and effective and comprehensive interventions are needed to counteract the damaging and insidious effects during infectious disease pandemics such as COVID-19, and reduce infectious disease-related stigma. Interventions should address provision of emotional support frameworks for the victims of stigmatization and discrimination that accompany the COVID-19 pandemic and future pandemics. This study was conducted in the early days of the COVID-19 pandemic, when uncertainty about the disease was high and fear of contamination fueled high levels of stigmatization against those who became ill with Covid-19.

Intervention hesitancy among healthcare personnel: conceptualizing beyond vaccine hesitancy

We propose an emerging conceptualization of "intervention hesitancy" to address a broad spectrum of hesitancy to disease prevention interventions among healthcare personnel (HCP) beyond vaccine hesitancy. To demonstrate this concept and its analytical benefits, we used a qualitative case-study methodology, identifying a "spectrum" of disease prevention interventions based on (1) the intervention's effectiveness, (2) how the intervention is regulated among HCP in the Israeli healthcare system, and (3) uptake among HCP in the Israeli healthcare system. Our cases ultimately contribute to a more nuanced conceptualization of hesitancy that HCP express towards disease prevention interventions. Our case interventions included the seasonal influenza vaccine, the Mantoux test, and the hepatitis B (HBV) vaccine. Influenza and HBV are vaccine-preventable diseases, though their respective vaccines vary significantly in effectiveness and uptake among HCP. The Mantoux test is a tuberculin skin test which provides a prevention benchmark for tuberculosis (TB), a non-vaccine preventable disease. We conducted semi-structured interviews with relevant stakeholders and analyzed them within Israeli and international policy context between 2016 and 2019, a period just prior to the COVID-19 pandemic. We propose the conceptualization of "intervention hesitancy"-beyond "vaccine hesitancy"-as "hesitancy towards a wide range of public health interventions, including but not limited to vaccines". Results suggested that intervention hesitancy among HCP is rooted in weak trust in their employer, poor employment conditions, as well as mixed institutional guidelines and culture. Conceptualizing intervention hesitancy expands the ability of healthcare systems to understand the root of hesitancy and foster a supportive institutional culture and trust, cognizant of diverse disease prevention interventions beyond vaccination.

The Environmental Footprint Associated With the Mediterranean Diet, EAT-Lancet Diet, and the Sustainable Healthy Diet Index: A Population-Based Study

Providing a growing global population with healthy and sustainable diets is an immediate challenge. In the current study, estimates were obtained for the environmental footprints (land, water, and greenhouse gas (GHG) emissions) in association with the Mediterranean diet (MED) and the EAT-Lancet reference diet, which represents a healthy diet derived from sustainable food systems. We used a newly developed Sustainable Healthy Diet (SHED) index that was validated for the Israeli population by Tepper et al. in 2020.

Advanced Nonvolatile Organic Optical Memory Using Self-Assembled Monolayers of Porphyrin-Fullerene Dyads

Photo-switchable organic field-effect transistors (OFETs) represent an important platform for designing memory devices for a diverse array of products including security (brand-protection, copy-protection, keyless entry, etc.), credit cards, tickets, and multiple wearable organic electronics applications. Herein, we present a new concept by introducing self-assembled monolayers of donor-acceptor porphyrin-fullerene dyads as light-responsive triggers modulating the electrical characteristics of OFETs and thus pave the way to the development of advanced nonvolatile optical memory. The devices demonstrated wide memory windows, high programming speeds, and long retention times. Furthermore, we show a remarkable effect of the orientation of the fullerene-polymer dyads at the dielectric/semiconductor interface on the device behavior. In particular, the dyads anchored to the dielectric by the porphyrin part induced a reversible photoelectrical switching of OFETs, which is characteristic of flash memory elements. On the contrary, the devices utilizing the dyad anchored by the fullerene moiety demonstrated irreversible switching, thus operating as read-only memory (ROM). A mechanism explaining this behavior is proposed using theoretical DFT calculations. The results suggest the possibility of revisiting hundreds of known donor-acceptor dyads designed previously for artificial photosynthesis or other purposes as versatile optical triggers in advanced OFET-based multibit memory devices for emerging electronic applications.

Solvent composition regulates the Se : Sb ratio in antimony selenide nanowires deposited from thiol-amine solvent mixtures

Antimony selenide (Sb₂Se₃), a V₂VI₃ semiconductor with an intriguing crystal structure, has demonstrated improved power conversion and solar-to-hydrogen efficiencies in recent years. Depositing antimony selenide nanowires (NWs) from a solution such as a thiol : amine "alkahest" ink is a low-cost and facile route to deposit high surface area photocathodes. However, little is known about the correlations between the solvent composition and the crystallites' structure and optoelectronic properties, which are crucial for photovoltaic and photoelectrochemical applications. We found that the Se : Sb ratio in the NWs decreases from 3 : 2 to less than 1 : 1 with decreasing thiol : amine ratio in the ink used for deposition but not in the solvent mixture used for dissolving the metals. The reduced Se : Sb ratio in the solid NWS correlates with an optical bandgap wider by ∼0.3 eV in comparison to stoichiometric NWs, a decrease of the NWs diameter from 180 to 30 nanometers, and a ∼0.2 eV larger work function. In addition, we found that the Se : Sb ratio is not uniform along the NWs, which causes a surface potential increase near the tips of the NWs due to a lower Se : Sb ratio near the NWs tips. The increased surface potential near the tips corresponds to a driving force, due to doping or graded bandgap broadening, that facilitates the migration of photoexcited electrons towards the NW tips. Our findings unlock a path for fine-tuning the optoelectronic properties of antimony selenide towards improving the performance of antimony selenide solar cells and photocathodes.

Human Preferences for Robot Eye Gaze in Human-to-Robot Handovers

This paper investigates human’s preferences for a robot’s eye gaze behavior during human-to-robot handovers. We studied gaze patterns for all three phases of the handover process: reach, transfer, and retreat, as opposed to previous work which only focused on the reaching phase. Additionally, we investigated whether the object’s size or fragility or the human’s posture affect the human’s preferences for the robot gaze. A public data-set of human-human handovers was analyzed to obtain the most frequent gaze behaviors that human receivers perform. These were then used to program the robot’s receiver gaze behaviors. In two sets of user studies (video and in-person), a collaborative robot exhibited these gaze behaviors while receiving an object from a human. In the video studies, 72 participants watched and compared videos of handovers between a human actor and a robot demonstrating each of the three gaze behaviors. In the in-person studies, a different set of 72 participants physically performed object handovers with the robot and evaluated their perception of the handovers for the robot’s different gaze behaviors. Results showed that, for both observers and participants in a handover, when the robot exhibited Face-Hand-Face gaze (gazing at the giver’s face and then at the giver’s hand during the reach phase and back at the giver’s face during the retreat phase), participants considered the handover to be more likable, anthropomorphic, and communicative of timing \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$(p < 0.0001)$$\end{document}(p<0.0001). However, we did not find evidence of any effect of the object’s size or fragility or the giver’s posture on the gaze preference.

Functional analysis of ADARs in planarians supports a bilaterian ancestral role in suppressing double-stranded RNA-response

ADARs (adenosine deaminases acting on RNA) are known for their adenosine-to-inosine RNA editing activity, and most recently, for their role in preventing aberrant dsRNA-response by activation of dsRNA sensors (i.e., RIG-I-like receptor homologs). However, it is still unclear whether suppressing spurious dsRNA-response represents the ancestral role of ADARs in bilaterians. As a first step to address this question, we identified ADAR1 and ADAR2 homologs in the planarian Schmidtea mediterranea, which is evolutionarily distant from canonical lab models (e.g., flies and nematodes). Our results indicate that knockdown of either planarian adar1 or adar2 by RNA interference (RNAi) resulted in upregulation of dsRNA-response genes, including three planarian rig-I-like receptor (prlr) homologs. Furthermore, independent knockdown of adar1 and adar2 reduced the number of infected cells with a dsRNA virus, suggesting they suppress a bona fide anti-viral dsRNA-response activity. Knockdown of adar1 also resulted in lesion formation and animal lethality, thus attesting to its essentiality. Simultaneous knockdown of adar1 and prlr1 rescued adar1(RNAi)-dependent animal lethality and rescued the dsRNA-response, suggesting that it contributes to the deleterious effect of adar1 knockdown. Finally, we found that ADAR2, but not ADAR1, mediates mRNA editing in planarians, suggesting at least in part non-redundant activities for planarians ADARs. Our results underline the essential role of ADARs in suppressing activation of harmful dsRNA-response in planarians, thus supporting it as their ancestral role in bilaterians. Our work also set the stage to study further and better understand the regulatory mechanisms governing anti-viral dsRNA-responses from an evolutionary standpoint using planarians as a model.

Today, more than ever, it is crucial to gain a deep understating of our anti-viral defenses. One of the ways to accomplish it is to study the principles governing anti-viral responses across various organisms. ADARs are a group of proteins that act on RNA molecules and alter their sequence compared to the genes that encode them (a process termed RNA editing). In recent years, ADARs have been shown to suppress abnormal anti-viral responses triggered by self-components of the cell (RNA encoded by the cell). Here, we show that the involvement of ADARs in anti-viral response regulation is conserved in planarians (free-living flatworms). We identified two ADAR proteins in planarians and showed that eliminating one (ADAR1) results in animal death and that an anti-viral response commenced in the absence of either ADAR1 or ADAR2. We further identified one of the proteins (PRLR1) that participate in initiating this anti-viral response in planarians, which its mammalian homolog (MDA5) serves a similar role. Thus, our work suggests that ADARs involvement in suppressing aberrant anti-viral response is an ancient evolutionary invention and is likely shared across multicellular organisms with bilateral symmetry.

W Doping in Ni12P5 as a Platform to Enhance Overall Electrochemical Water Splitting

Bifunctional electrocatalysts for efficient hydrogen generation from water splitting must overcome both the sluggish water dissociation step of the alkaline hydrogen evolution half-reaction (HER) and the kinetic barrier of the anodic oxygen evolution half-reaction (OER). Nickel phosphides are a promising catalysts family and are known to develop a thin active layer of oxidized Ni in an alkaline medium. Here, Ni₁₂P₅ was recognized as a suitable platform for the electrochemical production of γ-NiOOH─a particularly active phase─because of its matching crystallographic structure. The incorporation of tungsten by doping produces additional surface roughness, increases the electrochemical surface area (ESCA), and reduces the energy barrier for electron-coupled water dissociation (the Volmer step for the formation of H_ads). When serving as both the anode and cathode, the 15% W-Ni₁₂P₅ catalyst provides an overall water splitting current density of 10 mA cm^-2 at a cell voltage of only 1.73 V with good durability, making it a promising bifunctional catalyst for practical water electrolysis.

Regressing SARS-CoV-2 Sewage Measurements Onto COVID-19 Burden in the Population: A Proof-of-Concept for Quantitative Environmental Surveillance

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an RNA virus, a member of the coronavirus family of respiratory viruses that includes severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and the Middle East respiratory syndrome (MERS). It has had an acute and dramatic impact on health care systems, economies, and societies of affected countries during the past 8 months. Widespread testing and tracing efforts are being employed in many countries in attempts to contain and mitigate this pandemic. Recent data has indicated that fecal shedding of SARS-CoV-2 is common and that the virus RNA can be detected in wastewater. This indicates that wastewater monitoring may provide a potentially efficient tool for the epidemiological surveillance of SARS-CoV-2 infection in large populations at relevant scales. In particular, this provides important means of (i) estimating the extent of outbreaks and their spatial distributions, based primarily on in-sewer measurements, (ii) managing the early-warning system quantitatively and efficiently, and (iii) verifying disease elimination. Here we report different virus concentration methods using polyethylene glycol (PEG), alum, or filtration techniques as well as different RNA extraction methodologies, providing important insights regarding the detection of SARS-CoV-2 RNA in sewage. Virus RNA particles were detected in wastewater in several geographic locations in Israel. In addition, a correlation of virus RNA concentration to morbidity was detected in Bnei-Barak city during April 2020. This study presents a proof of concept for the use of direct raw sewage-associated virus data, during the pandemic in the country as a potential epidemiological tool.

Chemistry and Charge Trapping at the Interface of Silver and Ultrathin Layers of Zinc Oxide

Zinc oxide, a wide-band-gap semiconductor, shows intriguing optoelectronic properties when coupled with Ag. Specifically, an absorbance band in the visible range that is not apparent in the separated materials emerges when the interface is formed. Interestingly, photoexcitation of this "interface band" or band-to-band results in a counterintuitive photovoltaic response when a supra/sub-band-gap light is shone. To investigate the origin of this absorbance band and photovoltaic response, we studied in detail the energy-band alignment of ultrathin layers of ZnO (3-60 nm) with Ag. Our analysis indicated that an 'electrostatic potential cliff' is formed within the first 1-2 nm of ZnO. In addition, oxygen vacancies, presumably generated by Ag_xO-Zn bonds, form mid-gap acceptor states within these first few nm. Both effects facilitate a valence band-to-defect state optical transition that is confined to the interface region. The second type of defects-hole-trap states associated with zinc hydroxide-are spread throughout the ZnO layer and dominate the supra-band-gap photovoltaic response. These findings have potential implications in emerging technologies such as photocatalytic Ag/ZnO heterostructures that will utilize the long-lived charges for chemical work or other optoelectronic applications.

Educating nursing students for cultural competence in emergencies: a randomized controlled trial

BACKGROUND

Racial and ethnic minorities suffer significantly more than others in the wake of disasters. Despite the growing recognition of the importance of culturally competent health services, systematic cultural competence training in the medical education system is still scarce, especially in the field of emergency. The current study aimed to examine the effectiveness of an online culturally informed intervention for increasing cultural competence in emergencies among nursing students.

METHODS

A randomized controlled trial was used to test the intervention effectiveness in increasing nursing students' cultural competence in four domains: attitudes, knowledge, skills, and encounters. The study included 72 undergraduate nursing students recruited from two academic institutes. Participants were randomized (1:1 ratio) to an intervention (n = 34) and control group (n = 38). The study adheres to the Consolidated Standards of Reporting Trials (CONSORT). Data analysis was based on multivariate analysis of variance with repeated measures, followed by post hoc analyses with Bonferroni correction for multiple comparisons.

RESULTS

Results showed that the intervention was effective in increasing the participants' culturally competent knowledge. The effect of the intervention on the skills domain approached significance. No group differences were identified in the attitudes and the encounters domains.

CONCLUSIONS

An online culturally informed intervention, incorporated in the curriculum, was effective in enhancing the cognitive aspect of cultural competence (especially at the basic knowledge and understanding levels), but not other domains. Our results encourage the development of future intervention programs that are based on a deep understanding of local values, needs, and preferences.

Building capacity in times of crisis: Increasing cultural competence of healthcare professionals in the context of the COVID-19

BACKGROUND

Nurses are the frontline healthcare professionals fighting the medical and social effects of the current COVID-19 pandemic. Although they work with diverse populations, there is a lack of literature on culturally competent education during an emergency such as a pandemic.

AIMS AND OBJECTIVES

To examine the effectiveness of an online education programme aimed at increasing cultural competence among rescue teams and healthcare professionals facing the challenges of the COVID-19 pandemic.

DESIGN

Pre-post-web-based intervention study.

METHODS

Pre-post-intervention surveys were administered to a matched sample of Israeli healthcare and rescue organisation professionals. The initial sample included 303 participants (52% women) who completed the pre-intervention survey. More than half of the sample (56%, n = 170) were paid workers or volunteers in health organisations. Of the initial sample, 154 participants completed the post-intervention survey following the online cultural competence education programme. Descriptive statistics and multivariate analysis were used to evaluate participants' gains in culturally competent attitudes, knowledge, skills and encounters. This study followed the STROBE guidelines.

RESULTS

Participants found the online programme useful in improving their cultural competence during the COVID-19 pandemic. The highest gains were found in the attitudes domains, whereas the lowest in the knowledge domain. Pre-intervention cultural competence scores and incorporating the programme in the educational curricula predicted increased gains in cultural competence.

CONCLUSIONS

Online educational interventions showed potential for increasing professionals' awareness of cultural biases, differences and attitudes, leading to more open and accepting attitudes towards patients of different backgrounds.

RELEVANCE TO CLINICAL PRACTICE

Recognising the need for real-time, low-cost and available training, the World Health Organization recommended using online courses for healthcare professionals struggling in the pandemic frontline. Online education programmes provide a useful platform for training health professionals in times of emergency.

Data science in cell imaging

Cell imaging has entered the 'Big Data' era. New technologies in light microscopy and molecular biology have led to an explosion in high-content, dynamic and multidimensional imaging data. Similar to the 'omics' fields two decades ago, our current ability to process, visualize, integrate and mine this new generation of cell imaging data is becoming a critical bottleneck in advancing cell biology. Computation, traditionally used to quantitatively test specific hypotheses, must now also enable iterative hypothesis generation and testing by deciphering hidden biologically meaningful patterns in complex, dynamic or high-dimensional cell image data. Data science is uniquely positioned to aid in this process. In this Perspective, we survey the rapidly expanding new field of data science in cell imaging. Specifically, we highlight how data science tools are used within current image analysis pipelines, propose a computation-first approach to derive new hypotheses from cell image data, identify challenges and describe the next frontiers where we believe data science will make an impact. We also outline steps to ensure broad access to these powerful tools - democratizing infrastructure availability, developing sensitive, robust and usable tools, and promoting interdisciplinary training to both familiarize biologists with data science and expose data scientists to cell imaging.

Low-resistance monovalent-selective cation exchange membranes prepared using molecular layer deposition for energy-efficient ion separations

The desalination of brackish water provides water to tens of millions of people around the world, but current technologies deplete much needed nutrients from the water, which is determinantal to both public health and agriculture. A selective method for brackish water desalination, which retains the needed nutrients, is electrodialysis (ED) using monovalent-selective cation exchange membranes (MVS-CEMs). However, due to the trade-off between membrane selectivity and resistance, most MVS-CEMs demonstrate either high transport resistance or low selectivity, which increase energy consumption and hinder the use of such membranes for brackish water desalination by ED. Here, we introduce a new method for fabrication of MVS-CEMs, using molecular layer deposition (MLD) to coat CEMs with ultrathin, hybrid organic-inorganic, positively charged layers of alucone. Using MLD enabled us to precisely control and minimize the selective layer thickness, while the flexibility and nanoporosity of the alucone prevent cracking and delamination. Under conditions simulating brackish water desalination, the modified CEMs provides monovalent selectivity with negligible added resistance-thereby alleviating the selectivity-resistance trade-off. Addressing the water-energy nexus, MLD-coating enables selective brackish water desalination with minimal increase in energy consumption and opens a new path for tailoring membranes' surface properties.

Novel methodology for assessing total recovery time in response to unexpected perturbations while walking

Walking stability is achieved by adjusting the medio-lateral and anterior-posterior dimensions of the base of support (step length and step width, respectively) to contain an extrapolated center of mass. We aimed to calculate total recovery time after different types of perturbations during walking, and use it to compare young and older adults following different types of perturbations. Walking trials were performed in 12 young (age 26.92 ± 3.40 years) and 12 older (age 66.83 ± 1.60 years) adults. Perturbations were introduced at different phases of the gait cycle, on both legs and in anterior-posterior or medio-lateral directions, in random order. A novel algorithm was developed to determine total recovery time values for regaining stable step length and step width parameters following the different perturbations, and compared between the two participant groups under low and high cognitive load conditions, using principal component analysis (PCA). We analyzed 829 perturbations each for step length and step width. The algorithm successfully estimated total recovery time in 91.07% of the runs. PCA and statistical comparisons showed significant differences in step length and step width recovery times between anterior-posterior and medio-lateral perturbations, but no age-related differences. Initial analyses demonstrated the feasibility of comparisons based on total recovery time calculated using our algorithm.

The non-stationary case of the Maxwell-Garnett theory: growth of nanomaterials (2D gold flakes) in solution

The solution-based growth mechanism is a common process for nanomaterials. The Maxwell-Garnett theory (for light-matter interactions) describes the solution growth in an effective medium, homogenized by a mean electromagnetic field, which applies when materials are in a stationary phase. However, the charge transitions (inter- and intra-transitions) during the growth of nanomaterials lead to a non-stationary phase and are associated with time-dependent permittivity constant transitions (for nanomaterials). Therefore, time-independence in the standard Maxwell-Garnett theory is lost, resulting in time dependence, ε _i(t). This becomes important when the optical spectrum of a solution needs to be deconvoluted at different reaction times since each peak represents a specific charge/energy transfer with a specific permittivity constant. Based on this, we developed a time-resolved deconvolution approach, f(t) ∝ ε _i(t), which led us to identify the transitions (inter- and intra-transitions) with their dominated growth regimes. Two gold ion peaks were precisely measured (322 nm and 367 nm) for the inter-transition, and three different polyaniline oxidation states (PAOS) for the intra-transition, including A (372 nm), B (680 nm), and C (530 nm). In the initial reaction time regime (0-90 min), the permittivity constant of gold was found to be highly dependent on time, i.e. f _E ∝ ε _i(t), since charge transfer takes place from the PAOS to gold ions (i.e. inter-transition leads to a reduction reaction). In the second time regime (90-180 min), the permittivity constant of gold changes as the material deforms from 3D to 2D (f _S ∝ ε _3D-2D), i.e. intra-transition (combined with thermal reduction). Our approach provides a new framework for the time-dependent modelling of (an)isotropic solutions of other nanomaterials and their syntheses.

Hierarchy of hair loss stigma: media portrayals of cancer, alopecia areata, and cancer in Israeli newspapers

BACKGROUND

Over 300,000 people in Israel cope with temporary or permanent hair loss (alopecia) that results from diseases and medical treatments. For women, hair loss can be a highly traumatic event that may lead to adverse psychosocial consequences and health outcomes. Nevertheless, this phenomenon has been mostly ignored by health professionals as it is primarily considered an aesthetic-rather than as a health-related issue. Only recently the Healthcare Basket Committee approved financial assistance for the purchase of wigs by patients coping with hair loss. Given the important role that the media plays in shaping health policies related to diagnoses, treatment and support services, the current study sought to enrich our understanding of how the media portrays disease-related hair-loss.

METHODS

Using framing and agenda-setting theories, this study examined the media portrayals of hair loss associated with three diseases-cancer, alopecia areata, and ringworm, depicted in Israeli newspapers in 1994-2016. The sample consisted of 470 articles about the three diseases: 306 on cancer, 36 on AA, and 128 on ringworm.

RESULTS

Textual and visual analysis revealed the ways media marginalize this physical flaw. Cancer was framed in medical terms, and patients were portrayed as older Israeli-born people whose hair loss was absent from their experience. Ringworm was framed as a fear-inducing disease; patients were portrayed as faceless, unidentified immigrants that coped with visible hair loss. Articles on AA provided the greatest focus on the patient's experience of hair loss, but patients were portrayed as young foreign people.

CONCLUSIONS

Our results revealed a hierarchy of stigmas against hair loss, in which the media coverage marginalized this experience. The omission of hair loss by the media may explain, at least in part, why health professionals often ignore the psychosocial needs of these patients. Health insurance funding of wigs is a helpful but nevertheless insufficient solution to coping with feminine hair loss. Our findings may encourage media leaders to conduct planned media interventions to increase awareness of clinicians and health policymakers about the unique challenges faced by women coping with hair loss and promote health policy-making aimed at the well-being of these women.