Long-term Issues Research Articles

Construction of vacancy-enriched Si@Mn3O4-MnS/C heterostructure toward endurable anode for lithium-ion batteries

A configuring vacancy-enriched Mn oxide/sulfide embedded in amorphous carbon layer with highly concentrated vacancies to encapsulate silicon was tentatively explored to overcome the long-term stabilization issues of silicon active center. Our experimental results demonstrate that the configuration of vacancy-enriched Mn3O4-MnS/carbon hybrid coating layer not only functions as a physical separation layer to prevent silicon from direct contact with electrolytes, but also works as an interesting intermediator to facilitate the structure stabilization and the deep utilization of silicon core center. The surface pseudo-capacitive effect dramatically benefits to the modification of the rate performance of silicon. The synthesized Si@Mn3O4-MnS/C anode material maintains a high reversible capacity of 830 mAh/g after undergoing 200 charge–discharge cycles at 200 mA g−1 current density.

Single-Atom-Based Oxygen Reduction Reaction Catalysts for Proton Exchange Membrane Fuel Cells: Progress and Perspective.

Single-atom catalysts (SACs) are regarded as promising non-noble-metal alternatives for the oxygen reduction reaction (ORR) in proton exchange membrane fuel cells due to their high atom utilization efficiency and excellent catalytic properties. However, the insufficient long-term stability issues of SACs under the working conditions seriously hinder their practical application. In this perspective, the recent progress of SACs with optimized ORR catalytic activity is first reviewed. Then, the possible degradation mechanisms of SACs in the ORR process and effective strategies for improving their ORR durability are summarized. Finally, some challenges and opportunities are proposed to develop stable single-atom-based ORR electrocatalysts in the future.

Unveiling the Anti-Cancer Potential of Onoceranoid Triterpenes from Lansium domesticum Corr. cv. kokosan: An In Silico Study against Estrogen Receptor Alpha.

Breast cancer is a significant global concern, with tamoxifen, the standard treatment, raising long-term safety issues due to side effects. In this study, we evaluated the potential of five onoceranoid triterpenes from Lansium domesticum Corr. cv. kokosan against estrogen receptor alpha (ERα) using in silico techniques. Utilizing molecular docking, Lipinski's rule of five, in silico ADMET, and molecular dynamics simulations, we assessed the potency of five onoceranoid triterpenes against ERα. Molecular docking indicated competitive binding energies for these triterpenes relative to the active form of tamoxifen (4OHT) and estradiol, an ERα native ligand. Three triterpenes met drug-likeness criteria with favorable ADMET profiles. Notably, 2 demonstrated superior binding affinity in molecular dynamics simulations, outperforming estradiol, closely followed by 3 and 4. Hierarchical clustering on principal components (HCPC) and the spatial distribution of contact surface area (CSA) analyses suggest that these triterpenes, especially 2, may act as antagonist ligands akin to 4OHT. These findings highlight the potential of onoceranoid triterpenes in treating ERα-related breast cancer.

Community pharmacy services during the COVID-19 pandemic: Insights from providers and policy makers

BackgroundReadily accessible to the public, community pharmacies (CPs) were placed under increased pressure during the COVID-19 pandemic. In England, dispensing volume increased by 25% between February and March 2020. This followed a decade of stagnant government funding, which has been attributed to CP closures. If another pandemic emerged, the reduced number of CPs may face increased pressures. ObjectiveTo explore CP service provision in England throughout the COVID-19 pandemic from the perspectives of providers and policy makers, including what can be learned in preparation for any future pandemic. MethodsCP providers (n = 10) and policy makers (n = 6) were interviewed via telephone between June and September 2021. Interviews were transcribed and then analysed thematically using NVivo. ResultsPandemic specific pressures were identified, as well as long-term issues which preceded the pandemic. Increased workload was recognised by both providers and policy makers due to changes in prescribing habits and was exacerbated by staff shortages. CP staff safety was a major concern, with limited personal protective equipment provided despite being open to the public. General Practitioner (GP) surgeries received more protective equipment than CP and still referred patients to pharmacy e.g., for a blood pressure check. ConclusionsThe pandemic re-confirmed CPs role of providing accessible healthcare, particularly medicines provision, but also highlighted the demand for in-person clinical services. Improved communication channels between CP and GP surgeries are required, as is pandemic prescribing guidance to ensure appropriate prescribing to safeguard the medicines supply chain. To ensure the health of all providers is fairly protected, activities which require in-person contact or can be undertaken remotely by CP, GP surgeries and other providers should be reviewed. For pandemic preparation, legislative changes are required which empower pharmacy to fully contribute to patient care. A review of pharmacy funding and staffing is also needed to ensure services are sustainable.

Effect of poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) on low-iridium catalyst layer for proton exchange membrane water electrolysis

Reducing iridium loading in membrane electrode assembly (MEA) without sacrificing electrochemical performance plays a critical role in lowering the cost of proton exchange membrane water electrolyzers. However, low Ir loading often results in insufficient percolation of IrO2 particles and high interfacial resistance between the catalyst layer and the porous transport layer, causing reduced electrochemical performance and long-term durability issues. Herein, a MEA incorporating the conductive polymers of poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS) as a binder and dispersant is investigated under 0.3 mgIr cm−2 loading. The zeta potential and morphological experiments confirm that the incorporation of PEDOT:PSS to the catalyst ink can improve the ink stability, reduce the catalyst particle size and create more pores in the catalyst layer. The MEA using a 1:1 ratio of PEDOT:PSS to Nafion achieves an enhanced current density of 1.68 V@1.0 A cm−2 at 80 °C (vs. a MEA using Nafion only, 1.75 V@1.0 A cm−2). The Raman results indicate that the PEDOT in the presence of Nafion exhibits a more conductive quinoid resonance structure than PEDOT. In situ durability testing of the MEA for over 800 h demonstrates a degradation rate of 48.7 μV h−1 at 1.0 A cm−2 and 80 °C.

Connections between serum Trimethylamine N-Oxide (TMAO), a gut-derived metabolite, and vascular biomarkers evaluating arterial stiffness and subclinical atherosclerosis in children with obesity.

Childhood obesity leads to early subclinical atherosclerosis and arterial stiffness. Studying biomarkers like trimethylamine N-oxide (TMAO), linked to cardio-metabolic disorders in adults, is crucial to prevent long-term cardiovascular issues. The study involved 70 children aged 4 to 18 (50 obese, 20 normal-weight). Clinical examination included BMI, waist measurements, puberty stage, the presence of acanthosis nigricans, and irregular menstrual cycles. Subclinical atherosclerosis was assessed by measuring the carotid intima-media thickness (CIMT), and the arterial stiffness was evaluated through surrogate markers like the pulse wave velocity (PWV), augmentation index (AIx), and peripheral and central blood pressures. The blood biomarkers included determining the values of TMAO, HOMA-IR, and other usual biomarkers investigating metabolism. The study detected significantly elevated levels of TMAO in obese children compared to controls. TMAO presented positive correlations to BMI, waist circumference and waist-to-height ratio and was also observed as an independent predictor of all three parameters. Significant correlations were observed between TMAO and vascular markers such as CIMT, PWV, and peripheral BP levels. TMAO independently predicts CIMT, PWV, peripheral BP, and central SBP levels, even after adding BMI, waist circumference, waist-to-height ratio, puberty development and age in the regression model. Obese children with high HOMA-IR presented a greater weight excess and significantly higher vascular markers, but TMAO levels did not differ significantly from the obese with HOMA-IR<cut-offs. TMAO did not correlate to HOMA-IR and insulin levels but presented a negative correlation to fasting glucose levels. An increase in TMAO was shown to be associated with an increase in the probability of the presence of acanthosis nigricans. TMAO levels are not influenced by other blood biomarkers. Our study provides compelling evidence supporting the link between serum TMAO, obesity, and vascular damage in children. These findings highlight the importance of further research to unravel the underlying mechanisms of this connection.

Leveraging newspapers to understand urban issues: A longitudinal analysis of urban shrinkage in Detroit

Today we are awash with data, especially when it comes to studying cities from a diverse data ecosystem ranging from demographic to remotely sensed imagery and social media. This has led to the growth of urban analytics providing new ways to conduct quantitative research within cities. One area that has seen significant growth is using natural language processing techniques on text data from social media to explore various issues relating to urban morphology. However, we would argue that social media only provides limited insights when dealing with longer-term urban phenomena, such as the growth and shrinkage of cities. This relates to the fact that social media is a relatively recent phenomenon compared to longer-term urban problems that take decades to emerge. Concerning longer-term coverage, newspapers, which are increasingly becoming digitized, provide the possibility to overcome the limitations of social media and provide insights over a timeframe that social media does not. To demonstrate the utility of newspapers for urban analytics and to study longer-term urban issues, we utilize an advanced topic modeling technique (i.e., BERTopic) on a large number of newspaper articles from 1975 to 2021 to explore urban shrinkage in Detroit. Our topic modeling results reveal insights related to how Detroit shrinks. For example, side effects of 2007 to 2009 economic recessions on Detroit’s automobile industry, local employment status, and the housing market.

Food Monitoring: Limitations of Accelerated Storage to Predict Molecular Changes in Hazelnuts (Corylus avellana L.) under Realistic Conditions Using UPLC-ESI-IM-QTOF-MS.

Accelerated storage is routinely used with pharmaceuticals to predict stability and degradation patterns over time. The aim of this is to assess the shelf life and quality under harsher conditions, providing crucial insights into their long-term stability and potential storage issues. This study explores the potential of transferring this approach to food matrices for shelf-life estimation. Therefore, hazelnuts were stored under accelerated short-term and realistic long-term conditions. Subsequently, they were analyzed with high resolution mass spectrometry, focusing on the lipid profile. LC-MS analysis has shown that many unique processes take place under accelerated conditions that do not occur or occur much more slowly under realistic conditions. This mainly involved the degradation of membrane lipids such as phospholipids, ceramides, and digalactosyldiacylglycerides, while oxidation processes occurred at different rates in both conditions. It can be concluded that a food matrix is far too complex and heterogeneous compared to pharmaceuticals, so that many more processes take place during accelerated storage, which is why the results cannot be used to predict molecular changes in hazelnuts stored under realistic conditions.

Screening for sustainable and lead-free perovskite halide absorbers – A database collecting insight from electronic-structure calculations

To cover future green energy needs, new absorber materials must augment silicon in the established photovoltaic (PV) technology. (Hybrid) perovskites emerged as materials for this purpose, but are often plagued by long-term stability issues and contain elements that are critical with respect to health or material availability. Identifying stable materials, which reach equally high PV performance as the best of their class and do not contain any critical element, remains vital. This quest requires material research, fabrication and optimization of devices, and assessing upscaling and industrialization, all while taking material sustainability into account. Material screening is efficiently treated by high-throughput electronic-structure calculations. However, available data sets are very heterogeneous. This hinders comparability and limits the insight gained. An in-depth discussion of material criticality is missing in nearly all such studies. We intend to overcome this bottleneck by curating the available data from computational high-throughput studies. We structure and filter these data sets with respect to i) calculated stability and electronic properties, ii) criticality assessment, and iii) target device. The created data base is a tool that facilitates the design of the next generation of PV devices.

COVID-19 and health inequalities: The impact of social determinants of health on individuals affected by poverty

ObjectiveThis study focuses on the impact of social determinants of health (employment, housing, access to education, and food) on individuals affected by poverty during the COVID-19 pandemic in Tyrol, Austria. MethodsA qualitative research design was employed to explore the individual experiences of the pandemic, poverty, job loss, and precariousness. Biographical narrative and episodic problem-based interviews were used in combination. A total of 151 participants were recruited using various non-random sampling methods. The data were analyzed through inductive qualitative content analysis to identify relevant thematic complexes resulting from the reconstructions. ResultsThe main driver of challenges faced by individuals living in poverty is their precarious financial situation. Poverty negatively affects physical and mental health, the quality of food, housing conditions, medication expenses, access to healthcare, to relevant digital resources, and health literacy. Informal social support plays a crucial role for people in poverty, but it diminishes over time, leading to social exclusion. The COVID-19 pandemic has exacerbated poverty-related challenges and intensified social disconnection and marginalization. Addressing poverty requires comprehensive interventions at both the individual and structural levels. ConclusionsThe COVID-19 pandemic has highlighted the critical role of social determinants of health, including poverty, distress, employment, social participation, and digital exclusion. These factors pose immediate risks to individuals' health and can contribute to negative long-term health issues. State and institutional support are crucial in preventing and combating poverty, social disparities, health inequalities, and negative health outcomes. Public interest abstractThis study highlights the negative impact of poverty on an individual's biopsychosocial health, which has been exacerbated by the COVID-19 pandemic. Financial distress, uncertainty, and employment disruptions caused by the pandemic had a negative impact on social participation and quality of life, thereby decreasing overall well-being. Individuals affected by poverty experience adverse health outcomes such as distress, exhaustion, and hopelessness. The pandemic has further reduced the availability of public-funded professional support, leaving individuals with limited resources for essentials such as food, heating, rent, and social participation. Therefore, increased public funding for health and social services and accessible low-threshold financial aid are essential for improving well-being of those affected. Furthermore, poverty is a complex issue that necessitates public support to combat and prevent its effects in the sense of social justice and health equity. To address negative health outcomes and provide targeted support, we must tackle the social determinants of health.

Analysis of the Causes for the Sino-US Trade War

In 2018, the US government launched a trade war against China, and later it became a tit-for-tat competition between these two economies. It brought more uncertainties and challenges to bilateral and global trade. The economic conflict was a long-term issue between the two countries, while the Section 301 investigations provided rationales for the Trump administration to launch the trade war. This paper aims to reveal the reasons that contributed to the Sino-US trade war in order to better understand the whole economic conflict. There are some data collected by the US government and some official organizations are used in this paper to introduce the background. The writer mainly uses the literature analysis to discuss the possibilities that cause the trade war and applies one theory the Hegemonic Stability Theory to analyze the situation. At last, different perspectives of the deep-seated causes were applied to understand the trade war. This paper discovers that the trade war between the two countries was not only caused by economic conflicts, but also technological disputes, and other deep-seated issues, including national security and political concerns. All these causes should be addressed to understand and smooth the tensions.

Composition and evolution of the gut microbiota of growing puppies is impacted by their birth weight

Low birth weight puppies present an increased risk of neonatal mortality, morbidity, and some long-term health issues. Yet it has not been investigated if those alterations could be linked to the gut microbiota composition and evolution. 57 puppies were weighed at birth and rectal swabs were performed at 5 time points from birth to 28 days of age. Puppies were grouped into three groups based on their birth weight: low birth weight (LBW), normal birth weight (NBW) and high birth weight (HBW). 16S rRNA gene sequencing was used to highlight differences in the fecal microbiota. During the first three weeks, the relative abundance of facultative anaerobic bacteria such as E. coli, C. perfringens and Tyzzerella was higher in LBW feces, but they catch back with the other groups afterwards. HBW puppies showed higher abundances of Faecalibacterium and Bacteroides during the neonatal period, suggesting an earlier maturation of their microbiota. The results of this study suggest that birth weight impact the initial establishment of the gut microbiota in puppies. Innovative strategies would be desired to deal with altered gut microbiota in low birth weight puppies aiming to improve their survival and long term health.

The fall of Trump: mobilization and vote switching in the 2020 presidential election

AbstractVoters use salient issues to inform their vote choice. Using 2020 Cooperative Election Study (CES) data, we analyze how short-, medium-, and long-term issues informed the vote for president in the 2020 election, which witnessed record-setting participation. To explain the dynamics of presidential vote choice, we employ a voter typology advanced by Key (1966). Specifically, compared to standpatters, who in 2020 registered the same major party vote as in 2016, we find that new voters in 2020 and voters switching their preferences from 2016 cast their ballots in favor of Democrat Joe Biden. In the end, President Donald Trump was denied reelection by new voters and vote switchers principally because certain issues had a notable effect in moving their presidential preferences in the Democratic direction.

Long-Term Economic and Geopolitical Cycles: A Compass to Multilateral Cooperation in Our Age

Abstract The birth of modern economics was strongly related to the study of cycles. Economists tried to establish historical cycles, then business cycles and to model even very short-term fluctuations. In the 2000s, the “great moderation” brought about a temporary decline in the interest for longer-term cyclical issues. This was also related to the unipolar moment of US power after the fall of the Soviet Union. The 2008 great financial crisis and the rise of China, however, proved that cycles had not ceased to affect us. The contrary is true: just now, we are witnessing (at least) a rerun of the 1970s with all the implications of energy shocks and geopolitical tensions. Several authors again try to understand cycles; nevertheless, there is a scarcity of studies merging cultural, economic and geopolitical knowledge in this regard. The paper aims to fill this gap by discussing possible interpretations of the current great power dynamics. A complex analysis shows that downward spirals of hegemonic cycles can be escaped. Eurasia as a deep-rooted concept can further catalyse global development and the much-needed cooperative policies towards long-term sustainable growth. The East and the West should be focused on benchmarking the best solutions in the fields of technology, money and the green transition so that a fusion of megatrends benefits each community.

Understanding Post-Sepsis Syndrome: How Can Clinicians Help?

Sepsis is a global health challenge, with over 49 million cases annually. Recent medical advancements have increased in-hospital survival rates to approximately 80%, but the escalating incidence of sepsis, owing to an ageing population, rise in chronic diseases, and antibiotic resistance, have also increased the number of sepsis survivors. Subsequently, there is a growing prevalence of "post-sepsis syndrome" (PSS). This syndrome includes long-term physical, medical, cognitive, and psychological issues after recovering from sepsis. PSS puts survivors at risk for hospital readmission and is associated with a reduction in health- and life span, both at short and long term, after hospital discharge. Comprehensive understanding of PSS symptoms and causative factors is vital for developing optimal care for sepsis survivors, a task of prime importance for clinicians. This review aims to elucidate our current knowledge of PSS and its relevance in enhancing post-sepsis care provided by clinicians.

Identifying a causal link between prolactin signaling pathways and COVID-19 vaccine-induced menstrual changes

COVID-19 vaccines have been instrumental tools in the fight against SARS-CoV-2 helping to reduce disease severity and mortality. At the same time, just like any other therapeutic, COVID-19 vaccines were associated with adverse events. Women have reported menstrual cycle irregularity after receiving COVID-19 vaccines, and this led to renewed fears concerning COVID-19 vaccines and their effects on fertility. Herein we devised an informatics workflow to explore the causal drivers of menstrual cycle irregularity in response to vaccination with mRNA COVID-19 vaccine BNT162b2. Our methods relied on gene expression analysis in response to vaccination, followed by network biology analysis to derive testable hypotheses regarding the causal links between BNT162b2 and menstrual cycle irregularity. Five high-confidence transcription factors were identified as causal drivers of BNT162b2-induced menstrual irregularity, namely: IRF1, STAT1, RelA (p65 NF-kB subunit), STAT2 and IRF3. Furthermore, some biomarkers of menstrual irregularity, including TNF, IL6R, IL6ST, LIF, BIRC3, FGF2, ARHGDIB, RPS3, RHOU, MIF, were identified as topological genes and predicted as causal drivers of menstrual irregularity. Our network-based mechanism reconstruction results indicated that BNT162b2 exerted biological effects similar to those resulting from prolactin signaling. However, these effects were short-lived and didn’t raise concerns about long-term infertility issues. This approach can be applied to interrogate the functional links between drugs/vaccines and other side effects.

Thiol-based defect healing of WSe2 and WS2

Recent research on two-dimensional (2D) transition metal dichalcogenides (TMDCs) has led to remarkable discoveries of fundamental phenomena and to device applications with technological potential. Large-scale TMDCs grown by chemical vapor deposition (CVD) are now available at continuously improving quality, but native defects and natural degradation in these materials still present significant challenges. Spectral hysteresis in gate-biased photoluminescence (PL) measurements of WSe2 further revealed long-term trapping issues of charge carriers in intrinsic defect states. To address these issues, we apply here a two-step treatment with organic molecules, demonstrating the “healing” of native defects in CVD-grown WSe2 and WS2 by substituting atomic sulfur into chalcogen vacancies. We uncover that the adsorption of thiols provides only partial defect passivation, even for high adsorption quality, and that thiol adsorption is fundamentally limited in eliminating charge traps. However, as soon as the molecular backbone is trimmed and atomic sulfur is released to the crystal, both bonds of the sulfur are recruited to passivate the divalent defect and the semiconductor quality improves drastically. Time-dependent X-ray photoelectron spectroscopy (XPS) is applied here together with other methods for the characterization of defects, their healing, leading energies and occupation. First-principles calculations support a unified picture of the electronic passivation of sulfur-healed WSe2 and WS2. This work provides a simple and efficient method for improving the quality of 2D semiconductors and has the potential to impact device performance even after natural degradation.

Endovascular Aneurysm Repair Devices as a Use Case for Postmarketing Surveillance of Medical Devices

The US Food and Drug Administration (FDA) is building a national postmarketing surveillance system for medical devices, moving to a "total product life cycle" approach whereby more limited premarketing data are balanced with postmarketing surveillance to capture rare adverse events and long-term safety issues. To assess the methodological requirements and feasibility of postmarketing device surveillance using endovascular aneurysm repair devices (EVARs), which have been the subject of safety concerns, using clinical data from a large health care system. This retrospective cohort study included patients with electronic health record (EHR) data in the Veterans Affairs Corporate Data Warehouse. Implantation of an AFX Endovascular AAA System (AFX) device (any of 3 iterations) or a non-AFX comparator EVAR device from January 1, 2011, to December 21, 2021. The primary outcomes were rates of type III endoleaks and all-cause mortality; and rates of these outcomes associated with AFX devices compared with non-AFX devices, assessed using Cox proportional hazards regression models and doubly robust causal modeling. Information on type III endoleaks was available only as free-text mentions in clinical notes, while all-cause mortality data could be extracted using structured data. Device-specific information required by the FDA is ascertained using unique device identifiers (UDIs), which include factors such as model numbers, catalog numbers, and manufacturer-specific product codes. The availability of UDIs in EHRs was assessed. In total, 13 941 patients (mean [SD] age, 71.8 [7.4] years) received 1 of the devices of interest (AFX with Strata [AFX-S]: 718 patients [5.2%]; AFX with Duraply [AFX-D]: 404 patients [2.9%]; or AFX2: 682 patients [4.9%]), and 12 137 (87.1%) received non-AFX devices. The UDIs were not recorded in the EHR for any patient with an AFX device, and partial UDIs were available for 19 patients (0.1%) with a non-AFX device. This necessitated the development of advanced natural language processing tools to define the cohort of patients for analysis. The study identified a significantly higher risk of type III endoleaks at 5 years among patients receiving any of the AFX device iterations, including the most recent version, AFX2 (11.6%; 95% CI, 8.1%-15.1%) compared with that among patients with non-AFX devices (5.7%; 95% CI, 2.2%-9.2%; absolute risk difference, 5.9%; 95% CI, 2.3%-9.4%). However, there was no significantly higher all-cause mortality for any of the AFX device iterations, including for AFX2 (19.0%; 95% CI, 16.0%-22.0%) compared with non-AFX devices (18.0%; 95% CI, 15.0%-21.0%; absolute risk difference, 1.0%; 95% CI, -2.1% to 4.1%). The findings of this cohort study suggest that clinical data can be used for the postmarketing device surveillance required by the FDA. The study also highlights ongoing challenges to performing larger-scale surveillance, including lack of consistent use of UDIs and insufficient relevant structured data to efficiently capture certain outcomes of interest.

Near infrared-emitting multimodal nanosystem for in vitro magnetic hyperthermia of hepatocellular carcinoma and dual imaging of in vivo liver fibrosis

Prolonged usage of traditional nanomaterials in the biological field has posed several short- and long-term toxicity issues. Over the past few years, smart nanomaterials (SNs) with controlled physical, chemical, and biological features have been synthesized in an effort to allay these challenges. The current study seeks to develop theranostic SNs based on iron oxide to enable simultaneous magnetic hyperthermia and magnetic resonance imaging (MRI), for chronic liver damage like liver fibrosis which is a major risk factor for hepatocellular carcinoma. To accomplish this, superparamagnetic iron oxide nanoparticles (SPIONs) were prepared, coated with a biocompatible and naturally occurring polysaccharide, alginate. The resultant material, ASPIONs were evaluated in terms of physicochemical, magnetic and biological properties. A hydrodynamic diameter of 40 nm and a transverse proton relaxation rate of 117.84 mM−1 s−1 pronounces the use of ASPIONs as an efficient MRI contrast agent. In the presence of alternating current of 300 A, ASPIONs could elevate the temperature to 45 °C or more, with the possibility of hyperthermia based therapeutic approach. Magnetic therapeutic and imaging potential of ASPIONs were further evaluated respectively in vitro and in vivo in HepG2 carcinoma cells and animal models of liver fibrosis, respectively. Finally, to introduce dual imaging capability along with magnetic properties, ASPIONs were conjugated with near infrared (NIR) dye Atto 700 and evaluated its optical imaging efficiency in animal model of liver fibrosis. Histological analysis further confirmed the liver targeting efficacy of the developed SNs for Magnetic theranostics and optical imaging as well as proved its short-term safety, in vivo.

Improving the Black Doctoral Pipeline Through Critically Reflexive (Co-)mentoring

In Short The barriers for Black doctoral students are a long-term higher education issue that needs to be addressed and considered seriously as an academic pipeline issue. Anti-Blackness in higher education admissions and curriculum not only harms educational democracy but directly affects the limited number of Black doctoral students. Black doctoral students are often “the only” in their programs and may contend with microaggressions in addition to their wages not meeting their basic needs. Faculty mentors can employ critically reflexive (co-)mentoring to develop meaningful relationships with Black doctoral students. Faculty mentors can improve the retention and graduation of Black doctoral students by validating them.