Compelling Means Research Articles

Using Freely Generated Labels Instead of Rating Scales to Assess Emotion in Everyday Life.

To measure emotion in daily life, studies often prompt participants to repeatedly rate their feelings on a set of prespecified terms. This approach has yielded key findings in the psychological literature yet may not represent how people typically describe their experiences. We used an alternative approach, in which participants labeled their current emotion with at least one word of their choosing. In an initial study, estimates of label positivity recapitulated momentary valence ratings and were associated with self-reported mental health. The number of unique emotion words used over time was related to the balance and spread of emotions endorsed in an end-of-day rating task, but not to other measures of emotional functioning. A second study tested and replicated a subset of these findings. Considering the variety and richness of participant responses, a free-label approach appears to be a viable as well as compelling means of studying emotion in everyday life.

Zrównoważony rozwój w mediach społecznościowych: studium przypadku konta Światowego Forum Ekonomicznego na Twitterze (obecnie X)

Sustainability and social media are two current topics, the combination of which can be a compelling means of change for a better, sustainable future. This paper analyses the Twitter profile of the World Economic Forum, a global leader in promoting sustainability, over five years, from 2016 to 2020. The main focus of this work is to analyse the content and nature of the World Economic Forum's contributions (tweets) focusing on topics of Sustainable Development Goals. The results are presented in three categories – geographical focus, thematic focus, and most popular content. The results can indicate the trend, what topics and geographical locations related to sustainability are emphasised online, how the audience perceives it, and how to popularise sustainability among the public.

Proteomic Barcoding Platform for Macromolecular Screening and Delivery.

Engineered macromolecules offer compelling means for the therapy of conventionally undruggable interactions in human disease. However, their efficacy is limited by barriers to tissue and intracellular delivery. Inspired by recent advances in molecular barcoding and evolution, we developed BarcodeBabel, a generalized method for the design of libraries of peptide barcodes suitable for high-throughput mass spectrometry proteomics. Combined with PeptideBabel, a Monte Carlo sampling algorithm for the design of peptides with evolvable physicochemical properties and sequence complexity, we developed a barcoded library of cell penetrating peptides (CPPs) with distinct physicochemical features. Using quantitative targeted mass spectrometry, we identified CPPS with improved nuclear and cytoplasmic delivery exceeding hundreds of millions of molecules per human cell while maintaining minimal membrane disruption and negligible toxicity in vitro. These studies provide a proof of concept for peptide barcoding as a homogeneous high-throughput method for macromolecular screening and delivery. BarcodeBabel and PeptideBabel are available open-source from https://github.com/kentsisresearchgroup/.

Comparative analysis of machine learning techniques for predicting drilling rate of penetration (ROP) in geothermal wells: A case study of FORGE site

Enhanced Geothermal Systems (EGS) present a compelling means to unlock the considerable yet largely untapped thermal energy within the earth's crust globally. The EGS drilling cost constitutes a substantial portion, up to 60 %, of the overall expenses. Consequently, streamlining and optimizing the drilling processes for these systems hold immense economic significance, with the potential to substantially lower costs, advance the utilization of geothermal energy, and contribute significantly to the reduction of carbon emissions. This research aims to enhance EGS drilling operations by seeking ways of reducing drilling cost.In this research, we harnessed the predictive power of 10 state-of-the-art machine learning (ML) algorithms to anticipate a crucial drilling parameter: ROP. Using the FORGE dataset, we developed a code tailored for the intensive preprocessing of drilling data. This code offers many options, including various noise-removing techniques and scaling approaches. However, the primary focus of our work extends to quantifying uncertainties intrinsic to the predictions of the 10 algorithms employed. To achieve this, a comprehensive approach involved subjecting each algorithm to 40 runs, utilizing the best model from the tuning process.The results show that unaddressed uncertainties may lead to unstable model behavior, where small changes in the input data or random initialization result in significant prediction variations. Thus, models that do not account for uncertainty may be overfit to the noise in the training data, leading to poor generalization to new, unseen data. Remarkably, the results highlight the superiority of the Extreme Tree, Light Gradient Boost, Random Forest, and Gradient Boosting algorithms, showcasing mean absolute error (MAE) and R2 values within the ranges of 3.5–4.5 and 0.9–0.95, respectively. Conversely, artificial neural networks and support vector machine algorithms demonstrate comparatively lower performance, with MAE ranging from 4.7 to 6.3 and R2 from 0.85 to 0.91.Although the results presented in this work are only based on the drilling parameters from one well of the FORGE site and do not include rock properties or geological parameters, however, the proposed nuanced understanding of algorithmic performance is valuable for refining predictive models in geothermal drilling applications, ensuring robustness and reliability in the face of diverse operational scenarios. Navigating a successful workflow, adeptly processing data, and meticulously quantifying uncertainties linked to each predictive algorithm emerge as formidable yet indispensable tasks. Our research not only sheds light on these complexities but also paves the way for a strategic optimization approach based on data-driven ROP models. Therefore, the potential for substantial savings in real-time drilling operations becomes apparent, unlocking a new realm of possibilities for the geothermal energy sector.

Photoacoustic Heterodyne CO Sensor for Rapid Detection of CO Impurities in Hydrogen.

Hydrogen (H2) fuel cells have been developed as an environmentally benign, low-carbon, and efficient energy option in the current period of promoting low-carbon activities, which offer a compelling means to reduce carbon emissions. However, the presence of carbon monoxide (CO) impurities in H2 may potentially damage the fuel cell's anode. As a result, monitoring of the CO levels in fuel cells has become a significant area of research. In this paper, a novel photoacoustic sensor is developed based on photoacoustic heterodyne technology. The sensor combines a 4.61 μm mid-infrared quantum cascade laser with a low-noise differential photoacoustic cell. This combination enables fast, real-time online detection of CO impurity concentrations in H2. Notably, the sensor requires no wavelength locking to monitor CO online in real-time and produces a single effective signal with a period of only 15 ms. Furthermore, the sensor's performance was thoroughly evaluated in terms of detection sensitivity, linearity, and long-term stability. The minimum detection limit of 11 ppb was obtained at an optimal time constant of 1 s.

The Streets Echoed with Chants: The Urban Experience of Post-War West Berlin by Laura Bowie (review)

Reviewed by: The Streets Echoed with Chants: The Urban Experience of Post-War West Berlin by Laura Bowie Paul Steege Bowie, Laura–The Streets Echoed with Chants: The Urban Experience of Post-War West Berlin. Oxford: Peter Lang, 2022. 300 p. In September 1968, West Berlin’s biannual Bauwochen (building weeks) celebrated the opening of Ludwig Mies van der Rohe’s modernist Neue Nationalgalerie and gave visitors an opportunity to tour “the most beautiful post-war … locations” in the city (p. 14). Skeptical opponents organized a kind of “anti-Bauwochen” whose most notable achievement was an exhibition that sought to “diagnose” the problems in West Berlin’s postwar (re)construction. Laura Bowie’s new book focuses on the organizers of this exhibition, the members of Aktion 507. This collection of [End Page 195] architecture students and assistants at West Berlin’s Technical University “mapped intellectual sources onto aspects of the lived experiences of city-dwellers to support their analysis” (p. 166), and those connections shaped the form and content of their work. Taking its name from the seminar room (number 507) of Professor Oswald Mathias Ungers, Aktion 507 offers a compelling means to reframe a transnational student movement within the “micro-politics of everyday spaces of West Berlin” (p. 22). Bowie explicitly locates Aktion 507’s Diagnose exhibition within a “timeline of global events” (pp. xxiii–xxiv) that runs from June 2, 1967—when West Berlin police shot and killed the student Benno Ohnesorg during a protest against the visit of the Shah of Iran—to October 31, 1968—when US President Lyndon Johnson announced an end to the bombardment of North Vietnam. Located in an unfinished building designed by Hans Scharoun to house the Technical University’s Urban Development Institute, the exhibition ran from September 8–20, 1968. Its published manifesto (rather more than a catalogue), as well as visual and personal documentation of the event anchor Bowie’s analysis, and she weaves in these materials throughout the book. Its 77 figures, published in a mix of colour and black and white, richly complement the text. Bracketed by an introduction and a “post-mortem” (Chapter 10), the nine remaining chapters are divided into three sections: “The Present,” “The Past,” and “The Future.” Part I wrestles with the “present” reconstruction of West Berlin, the evolving efforts to cope with post-Second World War destruction and the implications of urban planning policies that demolished housing stock in the city centre and constructed new high-rise housing in the city’s outskirts. The chapters of Part II take on the multilayered theoretical engagement with Germany’s Nazi past and the ways that past remained a (neglected) part of Berlin’s urban cityscape. The final three chapters tackle the ways that student protest tied together critiques of West Berlin’s housing conditions, the trajectory of the discipline of architecture, and Nazism’s authoritarian residue in order to articulate specific revolutionary visions for the city’s future. Hinrich Baller, one member of Aktion 507, retrospectively described this effort to translate theory into praxis as a kind of “visionary pragmatism” (p. 265). Central to Aktion 507’s 1968 diagnosis of the social and material contexts that underlay the lived experience of West Berlin was the Märkisches Viertel (MV) housing development, constructed in the northernmost reaches of West Berlin beginning in 1963. Initial plans drew on international modernist inspirations, such as those that had shaped the city’s International Building Exhibition in 1957, and imagined apartment towers surrounded by ample green spaces, schools, daycare, and other community facilities. Planners turned to a variety of architects, and their variable designs for individual apartments as well as the use of colour to differentiate the buildings aimed to offer an alternative to the “grey Alltag [everyday]” (p. 71) of Berlin’s postwar environment. When interviewed by members of Aktion 507, however, MV residents denounced the development as a “grey hell” (p. 74) for which the addition of external colour changed nothing. In an effort to cope with growing housing demand, the scale of the development expanded dramatically in the midst of construction. Buildings that O. M. Ungers had planned for three to [End Page 196] six stories...

Moral framing in health promotion: lessons from an Indonesian case study.

In this article we illuminate the important, yet typically underreported, role played by moral framing in public health messaging. We present case studies from West Java, Indonesia to demonstrate how moral framing is used to motivate health volunteers and to promote behavior change in line with government health policies. We used qualitative research including participant observation, job shadowing, interviews and focus groups with health promotion workers and community members. Findings were analyzed using thematic and discourse analysis. We identified three moral frameworks typically used to encourage shifts in normative health practices in Indonesia: Islamic values, right to health, and evidence-based public health policy, represented as indicative of modernity. Health workers tailor these moral frameworks to audiences in their health promotion work. While the immediate goal is to meet health performance targets, the broader goal is to generate forms of health citizenship commensurate with Indonesia's political environment of democratic decentralization. COVID-19 presents an opportune moment for the public health community to reevaluate the power of moral framing in health messaging, and how it can be used both as a compelling means of establishing community norms toward the common good, as seen in our Indonesia case study, and also as a mechanism used by counterpublics to challenge these norms and appeal to alternative values and versions of reality.

Abstract P5-13-29: Analytical and clinical validation of a ctDNA assay for detecting copy number loss and structural rearrangement variants contributing to homologous recombination and repair (HRR) deficiency

Abstract Background: Inactivating HRR gene mutations can lead to HRR deficiency (HRD) and predict response to PARPi therapy in patients with breast cancer. Copy number loss and large genomic rearrangements (LGR) can result in HRD but are challenging to detect in ctDNA. Here, we present the analytical validation of homozygous deletions, loss of heterozygosity (LoH) and LGR detection on the Guardant360 (G360) liquid biopsy panel, previously validated for detection of small variants, copy number amplifications, and fusions. We present real-world outcomes of BRCA1/2-mutant PARPi-treated patients to demonstrate the clinical validity of the detected variants. Methods: Analytical validation was performed using the G360 83-gene ctDNA panel. Cell line DNA and clinical patient cfDNA were titrated into matched normal cell line DNA or healthy donor cfDNA to establish the limit of detection (LoD) and precision for copy number loss and LGRs, respectively. Accuracy results were compared to those from an orthogonal, externally validated tissue and ctDNA panel. De-identified, longitudinal, claims data were linked to the cancer genomic profiles in Guardant INFORM, a clinical-genomics database. Advanced PARPi treated breast cancer patients with an inactivating or reversion BRCA1/2 mutation detected by G360 were assessed. Results: The analytical sensitivity (95% LoD) for detecting homozygous and LoH deletions for deletion sizes >10MB was established at tumor fractions (TF) of 12.5% and 25%, respectively. The 95% LoD for LGRs was 0.2% variant allele fraction (VAF). The per-sample false positive rate for copy number loss and LGRs was <0.5%. Prevalence of BRCA1/2 homozygous deletions, LoH and LGRs in >1000 advanced breast cancer patients was 1.8%, 16.6% and 0.25% respectively, compared to 2.4%, 56.7% and 0.3% in TCGA. To verify the clinical impact of cfDNA-detected HRR alterations, overall survival was determined for PARPi-treated patients with >1 BRCA1/2 germline or somatic SNV, indel or LGR reversion mutation to be 23.2 months [16.4, 30, CI, n=75] compared to 54.4 [28, NA, CI, n=14] months for BRCA1/2-mutant patients without a reversion (p-value=0.049). Conclusion:. This analytical validation demonstrates that G360 detection of inactivating mutations, including copy number loss and LGRs, is highly sensitive, reliable and robust. Real-world evidence analysis confirmed worse survival outcomes in PARPi treated patients harboring a BRCA1/2 reversion compared to BRCA1/2-mutant patients with no reversion. This data further supports ctDNA as a compelling non-invasive means to identify potential PARPi sensitizing and resistance mutations in patients with advanced breast cancer. Citation Format: Jennifer Yen, Leylah Drusbosky, Caroline Weipert, Nicole Zhang, David Hanna, Catalin Barbacioru, Hao Wang, Alex Artyomenko, Arielle Yablonovitch, Yu Fu, Aaron Hardin, Nagesh Alla, Robert Foley, Max Maligska, Bhargavi Panchangam, Phil Yen, Jane Meisel, Neelima Vidula, Massimo Cristofanilli, Jeremy Force, Michael Dorschner, Martina Lefterova, Elena Helman, Becky Nagy, Darya Chudova, AmirAli Talasaz. Analytical and clinical validation of a ctDNA assay for detecting copy number loss and structural rearrangement variants contributing to homologous recombination and repair (HRR) deficiency [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-13-29.

Utilizing RFID Tag Motion Detection in High Tag Density Environments for Customer Browsing Insights

“Responsive retail” is becoming a key differentiator for brick-and-mortar retail stores to remain competitive with online alternatives. Growing RFID deployments in retail positions RFID as a compelling means to capture customer-item interactions, giving retailers insights to optimize store layout, item arrangements and even strategic item placements to increase sales. Such insights depend on detecting motion of a few tags among thousands of stationary tags, which is an open challenge. We have created a fully FCC compliant UHF RFID testbed with 1000 tagged clothing items. By collecting customer-item interaction data in realistic retail environments, we show existing algorithms working in low tag density environments (i.e., < 100 tags) start to fail in denser environments with a few hundred tags or more. To address this gap, we developed a motion detection algorithm using RSSI and phase information from tag reads to accurately discriminate a few moving tags among hundreds of stationary tags (up to 1000) in near real-time. Our algorithm runs on standard RFID systems without modifications, and with acceptable processing overhead. Our results cover two different RF environments, presence of multiple people, simultaneous interaction with multiple items and different tag densities and achieve >90% accuracy in representative retail environments.

An intravitreal implant injection method for sustained drug delivery into mouse eyes

SummaryUsing small molecule drugs to treat eye diseases carries benefits of specificity, scalability, and transportability, but their efficacy is significantly limited by a fast intraocular clearance rate. Ocular drug implants (ODIs) present a compelling means for the slow and sustained release of small molecule drugs inside the eye. However, methods are needed to inject small molecule ODIs into animals with small eyes, such as mice, which are the primary genetic models for most human ocular diseases. Consequently, it has not been possible to fully investigate efficacy and ocular pharmacokinetics of ODIs. Here, we present a robust, cost-effective, and minimally invasive method called "mouse implant intravitreal injection" (MI3) to deliver ODIs into mouse eyes. This method will expand ODI research to cover the breadth of human eye diseases modeled in mice.

Perfect adaptation in biology.

A distinctive feature of many biological systems is their ability to adapt to persistent stimuli or disturbances that would otherwise drive them away from a desirable steady state. The resulting stasis enables organisms to function reliably while being subjected to very different external environments. This perspective concerns a stringent type of biological adaptation, robust perfect adaptation (RPA), that is resilient to certain network and parameter perturbations. As in engineered control systems, RPA requires that the regulating network satisfy certain structural constraints that cannot be avoided. We elucidate these ideas using biological examples from systems and synthetic biology. We then argue that understanding the structural constraints underlying RPA allows us to look past implementation details and offers a compelling means to unravel regulatory biological complexity.

Emotion Sharing in Preadolescent Children: Divergence From Friendships and Relation to Prosocial Behavior in the Peer Group

We examined the extent to which children’s emotion-sharing relationships were unique from friendships. We also examined the association between emotional experience and emotion sharing as well as the association between emotion sharing and prosocial behavior. Participants were 456 children ( Mage = 10.6 years) from the Midwestern United States. Peer nominations and self-report were used to assess study constructs. Despite considerable convergence between friendships and emotion-sharing relationships, children did not share emotions with 31% of close friends and 20% of emotion-sharing partners were not close friends, indicating divergence of the two relationships. Experience of happiness was positively associated with emotion sharing; emotion sharing was positively associated with prosocial behavior. Compared with boys, girls identified more partners and more same-gender peers for emotion-sharing relationships and they shared feelings with friends to a greater extent. We discussed emotion sharing as a compelling means for the development of children’s affective and social competence.

Building with Nature: A nineteenth century concept

The concept of “Building with Nature” refers to a harmonious way of creating environments for new living, working and recreation spaces with respect to nature. It also builds resilience to natural events such as storm surges and thus involves the design of infrastructure. This is done with the intention of ensuring the preservation or expansion of environmental and ecological resources, nature, and landscape. Moreover, it considers climate change and sea level rise as well as more frequent and intense storms, resulting in floods and land subsidence. The concept of Building with Nature is strongly connected to an industrialized society. Before the Industrial Revolution, technological advances and engineering, people were forced to live and work according to the rules of nature. This paper seeks to discover what we can learn from 19th century concepts on Building with Nature that are rooted in the pre-industrial era. The paper explores the history of the science of soil and water, in deltaic regions and focuses on the United States and the Netherlands during the nineteenth century. Within these contexts, two key historic figures are positioned, Joseph Raymond Thomassy and Willem Antonie Scholten. By reflecting on the communication between Thomassy and Scholten, the paradigm shift diverging from Building with Nature is exposed and takes on a new and compelling meaning of both an industrial approach and a natural solution to water management.

Innovative Communication Learning: Combining TED Talks and Reflective Writing for Nursing Students.

As educational programs compete with online and open courseware, TED (Technology, Entertainment, and Design) Talks provide meaningful complementary content that can be easily integrated into curricula. Evaluate an innovative approach to the standard lecture by combining media mixture with reflective writing. Undergraduate nursing students were asked to view a TED Talk and write a brief narrative reflection as part of their preparation for a communication class. The video and reflective writing assignment were completed by 23/25 (92%) of students. Qualitative analysis of the reflective writing identified three primary themes: Communication as a Foundational Competency, Importance of Empathy, and Professional Role Development. This illustrative talk and narrative exercise provided an interactive learning experience for novice nurses that served as a compelling means to critically reflect on effective health-care communication skills, prior to entry into practice.

Populism, Brexit, and the manufactured crisis of British neoliberalism

The recent rise of populism has threatened to undermine the stability of international economic integration. Using the case of Britain's 2016 vote to leave the European Union, we challenge prevailing accounts explaining populism as political response to neoliberalism's negative impact on voters. This conceptualisation does not sufficiently explain voter support for populist political actors advocating the further entrenchment of neoliberal policymaking. Using a descriptive analysis, we develop a constitutive theory explaining how the antagonistic ‘people’ vs. ‘elite’ relationship at the core of populism has been mobilised by opposing British political actors as a discursive frame to generate voter support for their own policies. We show how the Liberal Economic Nationalist and Democratic Socialist policy paradigms used the 2016 referendum to challenge Britain’s debt-driven neoliberal growth model by framing it as being detrimental to ‘the people’ and benefiting ‘the elite’. Conversely, their respective export-oriented neoliberal growth model or socialist policies are framed as resolving these issues through their prospective benefits to ‘the people’. Therefore, we argue that focusing on the deployment of the populist frame offers a compelling means for the field of International Political Economy to conceptualise how global populism emerges to challenge the stability of international economic integration.

Mode-locked pulse oscillation of a self-resonating enhancement optical cavity

A power enhancement optical cavity is a compelling means of realizing a pulsed laser with a high peak power and high repetition frequency, which is not feasible using a simple amplifier scheme. However, a precise feedback system is necessary for maintaining the narrow resonance condition of the optical cavity; this has become a major technical issue in developing such cavities. We have developed a new approach that does not require any active feedback system, by placing the cavity in the outer loop of a laser amplifier. We report on the first demonstration of a mode-locked pulse oscillation using the new system.

Meet Stevie: a Socially Assistive Robot Developed Through Application of a ‘Design-Thinking’ Approach

Socially assistive service robots offer a compelling means of empowering vulnerable members of society. They can perform useful custodial functions for their users, thus reducing reliance on informal and formal caregivers. The aim of this work was to develop a prototype socially assistive robot through application of user-centered design methods, adopting an approach based on the ‘design thinking’ philosophy. Using a range of design techniques that have seldom been applied in a robotics context, a high resolution prototype was designed, fabricated and evaluated using a mixed-methods approach. Experiments were performed with four distinct user groups (including residents and care staff at a retirement community) to explore the first impressions that the robot created, its perceived usefulness, and the potential for acceptance of the platform. Overall, the robot was positively perceived by each user group, and user feedback from testing generated insights regarding the design, usability and envisioned use-cases of the technology. These findings have value in informing future iterations of robot design, as well as providing motivation for a series of future studies.

Integrating Community-based Research into a Senior Capstone Seminar: Lessons Learned from a Mixed-methods Study

This article describes a senior capstone, Neighborhoods and Health, which used community-based research (CBR) as its primary pedagogy. Students in the course drew upon multiple research methods and forms of data to provide our partner, the Urban Farming Institute of Boston, with an array of research products in support of the revitalization of a historic farm in the Boston neighborhood of Mattapan. Based on pre- and posttest assessment and analysis of students’ reflections in their journals, we identify how a multimethods approach—combined with a commitment to producing usable research products—simultaneously contributed to students’ research methods proficiency and their understanding of complex social processes. For both sociology departments and interdisciplinary majors that draw on sociological perspectives, CBR offers a compelling means of providing seniors with meaningful capstone experiences while adding capacity to the important work of community-based organizations.

Quo Vadis Biomolecular NMR Spectroscopy?

In-cell nuclear magnetic resonance (NMR) spectroscopy offers the possibility to study proteins and other biomolecules at atomic resolution directly in cells. As such, it provides compelling means to complement existing tools in cellular structural biology. Given the dominance of electron microscopy (EM)-based methods in current structure determination routines, I share my personal view about the role of biomolecular NMR spectroscopy in the aftermath of the revolution in resolution. Specifically, I focus on spin-off applications that in-cell NMR has helped to develop and how they may provide broader and more generally applicable routes for future NMR investigations. I discuss the use of ‘static’ and time-resolved solution NMR spectroscopy to detect post-translational protein modifications (PTMs) and to investigate structural consequences that occur in their response. I argue that available examples vindicate the need for collective and systematic efforts to determine post-translationally modified protein structures in the future. Furthermore, I explain my reasoning behind a Quinary Structure Assessment (QSA) initiative to interrogate cellular effects on protein dynamics and transient interactions present in physiological environments.

Analysis of solar and battery requirements for hybrid DC/AC powered households in the USA

US households consume more electricity compared to other developed countries due to the fact that majority of the US household loads are inefficient. As a result, deployment of residential solar PV cost is increased given the high-power consumption and becomes less viable. Utilities are also increasingly applying surcharges to customers with solar PV installations because of direct impacts to the grid, making purely solar PV installations unattractive. This is especially in the case for low-income households, where they are seemingly shut out from participating in the energy economy given the penalties and the costs. This research primary focus is to make Installed Cost Benchmarks for Residential Solar Photovoltaic with Energy Storage costs more affordable for an average-income home owner in the USA; one approach is to reduce power consumption within the household by adapting DC appliances. So, a compelling means towards reducing household load is to convert a portion of household electrical loads such as LED lighting, air conditioning, ceiling fans, and electronic loads to DC. Secondly, optimizing size of solar panels and battery and without the need for energy export, it compensates for surcharges and recover return on solar investment. Data provided in this paper gives an insight into adapting suitable hybrid DC/AC architecture for three different types of households associated with five different geographical regions based of different climactic conditions spread across the USA. The systems are distinguished by the degree to which redundant AC to DC conversion stages are reduced, which will be inversely proportional to cost. This paper shows that deployment of DC distribution within the house will result in lower average cost and better returns on solar and battery investment than revealed by the NREL study. Also, outlines the costs and savings of different architecture that can be adaptable based on the type of the house, location, savings, and affordability. Only this paper shows the benefits occur due to the reduced number of solar panels and battery storage required when compared to conventional AC powered households. The end goal of this work is to increase the adoptability of solar PV across a more diverse population with a particular focus on low-income households.