Impact of county and state immigration policies on immigrant household enrollment in the supplemental nutrition assistance program.

Introduction: Low-income immigrants who are eligible to participate in the Supplemental Nutrition Assistance Program (SNAP) participate at lower rates compared to non-immigrants. Immigrant households may be more likely to participate in SNAP if they live in areas with policies that integrate them into society and protect them from deportation. Methods: Data on low-income immigrant households came from the 2019 American Community Survey (N = 87,678). The outcome was whether any household member received SNAP in the previous 12 months. Immigrant policy exposures came from two sources: the State Immigration Policy Resource, which includes 18 immigrant criminalizing and integrating policies, and a database that identified 'sanctuary policies' (SP), which we summarized at the county level. Multivariable logistic regression adjusted for person/household-level and area-level confounders. Results: Living in a jurisdiction with a SP was associated with 21% higher odds of enrolling in SNAP compared to living in a jurisdiction without a SP (adjusted odds ratio [aOR] 1.21, 95% CI=1.11,1.31). Relative to the least immigrant friendly states, living in the most immigrant-friendly states was associated with 16% higher odds of SNAP enrollment (aOR=1.16, 95%CI=1.06-1.28). When SP and state-level immigrant friendly policy environment were cross-classified, SNAP participation was 23% and 26% higher for those living in jurisdictions with one- and both- exposures, respectively, relative to those with neither (aOR 1.23; CI 1.12,1.36; aOR 1.26; CI 1.15,1.37). Conclusions: Many at high risk of food insecurity - including immigrants and citizens in households with immigrants - are eligible for SNAP but under-enroll. Policies that welcome and safeguard immigrants could reduce under enrollment.

[Artificial intelligence in kidney transplant pathology]. / Künstliche Intelligenz in der Nierentransplantationspathologie.

BACKGROUND: Artificial intelligence (AI) systems have showed promising results in digital pathology, including digital nephropathology and specifically also kidney transplant pathology. AIM: Summarize the current state of research and limitations in the field of AI in kidney transplant pathology diagnostics and provide a future outlook. MATERIALS AND METHODS: Literature search in PubMed and Web of Science using the search terms "deep learning", "transplant", and "kidney". Based on these results and studies cited in the identified literature, a selection was made of studies that have a histopathological focus and use AI to improve kidney transplant diagnostics. RESULTS AND CONCLUSION: Many studies have already made important contributions, particularly to the automation of the quantification of some histopathological lesions in nephropathology. This likely can be extended to automatically quantify all relevant lesions for a kidney transplant, such as Banff lesions. Important limitations and challenges exist in the collection of representative data sets and the updates of Banff classification, making large-scale studies challenging. The already positive study results make future AI support in kidney transplant pathology appear likely.

Making Ends Meet: An Examination of Legal and Illegal Sources of Financial Support for Individuals Returning from Prison.

A fundamental challenge facing individuals returning from prison is securing income. Although there have been numerous studies on the relationship between post-release employment and reintegration, less is known about the extent to which returning individuals rely on other sources of financial support, such as the support from family members, public assistance, or earnings from illicit activities. There is also a knowledge gap around how these sources of financial support relate to one another. We use survey data from 385 men who were released from prison to two Chicago neighborhoods, collected as part of an evaluation of the Safer Return Demonstration. We found that 41% of men reported having a legal job since their release, 9% reported receiving income from illegal activities, 30% reported receiving monetary public assistance, 66% received non-monetary public assistance, and 60% were currently receiving financial support from their families. Results from logistic regression models indicate that individuals who were employed were less likely to be financially supported by their families or receive public benefits, but this had no impact on whether they received earning from illegal activities. We discuss the implications of these findings for policy, practice, and future research.

'My Advocacy is Not About Me, My Advocacy is About Canadians': A Qualitative Study of how Caregivers and Patients Influence Regulation of Medical Assistance in Dying in Canada.

Medical assistance in dying (MAiD) was legalised federally in Canada after the Supreme Court decision in Carter v Canada (Attorney General) [2015] 1 SCR 331. The federal legislative framework for MAiD was established via Bill C-14 in 2016. Caregivers and patients were central to Carter and subsequent litigation and advocacy, which resulted in amendments to the law via Bill C-7 in 2021. Research has primarily focused on the impacts of regulation on caregivers and patients. This qualitative study investigates how caregivers and patients influence law reform and the operation of MAiD practice in Canada (ie, behave as 'regulatory actors'), using Black's definition of regulation. We found that caregivers and patients performed sustained, focused, and intentional actions that influenced law reform and the operation of MAiD in practice. Caregivers and patients are not passive objects of Canadian MAiD regulation, and their role in influencing regulation (eg, law reform and MAiD practice) should be supported where this is desired by the person. However, recognising the burdens of engaging in regulatory action to address barriers to accessing MAiD or to quality care, and MAiD system gaps, other regulatory actors (eg, governments) should minimise this burden, particularly where a person engages in regulatory action reluctantly.

Contemporary analysis of the learning curve for robotic-assisted total hip arthroplasty emerging technologies.

Robotic assisted (RA) total hip arthroplasty (THA) offers improved acetabular component placement and radiographic outcomes, but inconsistent assessment methods of its learning curves render the evaluation of adopting novel platforms challenging. Therefore, we conducted a systematic review to assess the learning curve associated with RA-THA, both tracking a surgeon's performance across initial cases and comparing their performance to manual THA (M-THA). PubMed, MEDLINE, EBSCOhost, and Google Scholar were searched on June 16, 2023, to identify studies published between January 1, 2000 and June 16, 2023 (PROSPERO registration: CRD42023437339). The query yielded 655 unique articles, which were screened for eligibility. The final analysis included 11 articles, evaluating 1351 THA procedures. Risk of bias was assessed via the Methodological Index for Nonrandomized Studies (MINORS) tool. The mean MINORS score was 21.3 ± 0.9. RA-THA provided immediate improvements in acetabular component placement accuracy and radiographic outcomes compared to M-THA, with little to no experience required to achieve peak proficiency. A modest learning curve (12-17 cases) was associated with operative time, which was elevated compared to M-THA (+ 9-13 min). RA-THA offers immediate advantages to M-THA for component placement accuracy and radiographic outcomes. Surgeons should expect to experience increased operative times, which become less pronounced or equivalent to M-THA after a modest caseload.

End-of-Life Symptom Burden among Patients with Cancer Who Were Provided Medical Assistance in Dying (MAID): A Longitudinal Propensity-Score-Matched Cohort Study.

Cancer is the primary underlying condition for most Canadians who are provided Medical Assistance in Dying (MAID). However, it is unknown whether cancer patients who are provided MAID experience disproportionally higher symptom burden compared to those who are not provided MAID. Thus, we used a propensity-score-matched cohort design to evaluate longitudinal symptom trajectories over the last 12 months of patients' lives, comparing cancer patients in Alberta who were and were not provided MAID. We utilized routinely collected retrospective Patient-Reported Outcomes (PROs) data from the Edmonton Symptom Assessment System (ESAS-r) reported by Albertans with cancer who died between July 2017 and January 2019. The data were analyzed using mixed-effect models for repeated measures to compare differences in symptom trajectories between the cohorts over time. Both cohorts experienced increasing severity in all symptoms in the year prior to death (ß from 0.086 to 0.231, p ≤ .001 to .002). Those in the MAID cohort reported significantly greater anxiety (ß = -0.831, p = .044) and greater lack of appetite (ß = -0.934, p = .039) compared to those in the non-MAID cohort. The majority (65.8%) of patients who received MAID submitted their request for MAID within one month of their death. Overall, the MAID patients did not experience disproportionally higher symptom burden. These results emphasize opportunities to address patient suffering for all patients with cancer through routine collection of PROs as well as targeted and early palliative approaches to care.

Federal food assistance accessibility and acceptability among Indigenous Peoples in the United States: A scoping review.

The purpose of this scoping review was to determine the extent to which accessibility and acceptability of federal food assistance programs in the United States (U.S.) have been evaluated among Indigenous Peoples, and to summarize what is currently known. Twelve publications were found that examine aspects of accessibility or acceptability by indigenous peoples of one or more federal food assistance programs, including the Supplemental Nutrition Assistance Program (SNAP) and/or the Food Distribution Program on Indian Reservations (FDPIR) (n=8), the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) (n=3), and the National School Lunch Program (NSLP) (n=1). No publications were found to include the Commodity Supplemental Food Program (CSFP) or the Child and Adult Care Food Program (CACFP). Publications ranged in time from 1990 - 2023, and all reported on findings from rural populations, while three also included urban settings. Program accessibility varied by program type and geographic location. Road conditions, transportation access, telephone and internet connectivity, and overall number of food stores were identified as key access barriers to SNAP and WIC benefit redemption in rural areas. Program acceptability was attributed to factors such as being tribally administered, providing culturally sensitive services, and offering foods of cultural significance. For these reasons, FDPIR and WIC were more frequently described as acceptable compared to SNAP and NSLP. However, SNAP was occasionally described as more acceptable than other assistance programs because it allows participants autonomy to decide which foods to purchase and when. Overall, little attention has been paid to the accessibility and acceptability of federal food assistance programs among Indigenous Peoples in the U.S. More research is needed to understand and improve the participation experiences and health trajectories of these priority populations.

Automated Lane Centering: An Off-the-Shelf Computer Vision Product vs. Infrastructure-Based Chip-Enabled Raised Pavement Markers.

Safe autonomous vehicle (AV) operations depend on an accurate perception of the driving environment, which necessitates the use of a variety of sensors. Computational algorithms must then process all of this sensor data, which typically results in a high on-vehicle computational load. For example, existing lane markings are designed for human drivers, can fade over time, and can be contradictory in construction zones, which require specialized sensing and computational processing in an AV. But, this standard process can be avoided if the lane information is simply transmitted directly to the AV. High definition maps and road side units (RSUs) can be used for direct data transmission to the AV, but can be prohibitively expensive to establish and maintain. Additionally, to ensure robust and safe AV operations, more redundancy is beneficial. A cost-effective and passive solution is essential to address this need effectively. In this research, we propose a new infrastructure information source (IIS), chip-enabled raised pavement markers (CERPMs), which provide environmental data to the AV while also decreasing the AV compute load and the associated increase in vehicle energy use. CERPMs are installed in place of traditional ubiquitous raised pavement markers along road lane lines to transmit geospatial information along with the speed limit using long range wide area network (LoRaWAN) protocol directly to nearby vehicles. This information is then compared to the Mobileye commercial off-the-shelf traditional system that uses computer vision processing of lane markings. Our perception subsystem processes the raw data from both CEPRMs and Mobileye to generate a viable path required for a lane centering (LC) application. To evaluate the detection performance of both systems, we consider three test routes with varying conditions. Our results show that the Mobileye system failed to detect lane markings when the road curvature exceeded ±0.016 m-1. For the steep curvature test scenario, it could only detect lane markings on both sides of the road for just 6.7% of the given test route. On the other hand, the CERPMs transmit the programmed geospatial information to the perception subsystem on the vehicle to generate a reference trajectory required for vehicle control. The CERPMs successfully generated the reference trajectory for vehicle control in all test scenarios. Moreover, the CERPMs can be detected up to 340 m from the vehicle's position. Our overall conclusion is that CERPM technology is viable and that it has the potential to address the operational robustness and energy efficiency concerns plaguing the current generation of AVs.

Factors Associated with Uptake of an Open Access Health Center-Based Mobile Produce Market: A Case for Expanded Eligibility.

BACKGROUND: Healthcare-based food assistance programs show promise, but are underutilized. Strict eligibility requirements and program scheduling may dampen reach and outcomes. OBJECTIVE: To explore factors associated with uptake of a health center-based mobile produce market with no eligibility requirements and few barriers to entry. DESIGN: A cross-sectional analysis of medical record, socio-demographic, environmental, and market attendance data was used. PARTICIPANTS/SETTING: The study sample consisted of 3,071 adults (18+ years) who were patients of an urban health center in eastern Massachusetts and registered for the mobile market during the study period of August 2016 to February 2020. MAIN OUTCOME MEASURES: The main outcome measure was monthly market attendance over the study period. STATISTICAL ANALYSES: T-tests and chi-squared tests were used to compare market users and never-users. Multiple logistic regression was used to analyze variables associated with market attendance each month. RESULTS: In multiple variable analyses, SNAP enrollment was associated with slightly less frequent monthly market use (OR = 0.989 95% CI =0.984, 0.994). Day-of, on-site market registration was associated with more frequent monthly use than self-registration on non-market days (OR 1.08, 95% CI 1.07 to 1.08). Having a psychiatric or substance use disorder diagnosis was associated with slightly less frequent market attendance (OR 0.99, 95% CI 0.98 to 0.99, and OR 0.96, 95% CI 0.95-0.97, respectively) compared to registrants without these diagnoses. CONCLUSIONS: Individual, community-level, and organizational factors are associated with uptake of a free mobile produce market, and should be considered when designing programs.

3D human pose data augmentation using Generative Adversarial Networks for robotic-assisted movement quality assessment.

In the realm of human motion recognition systems, the augmentation of 3D human pose data plays a pivotal role in enriching and enhancing the quality of original datasets through the generation of synthetic data. This augmentation is vital for addressing the current research gaps in diversity and complexity, particularly when dealing with rare or complex human movements. Our study introduces a groundbreaking approach employing Generative Adversarial Networks (GANs), coupled with Support Vector Machine (SVM) and DenseNet, further enhanced by robot-assisted technology to improve the precision and efficiency of data collection. The GANs in our model are responsible for generating highly realistic and diverse 3D human motion data, while SVM aids in the effective classification of this data. DenseNet is utilized for the extraction of key features, facilitating a comprehensive and integrated approach that significantly elevates both the data augmentation process and the model's ability to process and analyze complex human movements. The experimental outcomes underscore our model's exceptional performance in motion quality assessment, showcasing a substantial improvement over traditional methods in terms of classification accuracy and data processing efficiency. These results validate the effectiveness of our integrated network model, setting a solid foundation for future advancements in the field. Our research not only introduces innovative methodologies for 3D human pose data enhancement but also provides substantial technical support for practical applications across various domains, including sports science, rehabilitation medicine, and virtual reality. By combining advanced algorithmic strategies with robotic technologies, our work addresses key challenges in data augmentation and motion quality assessment, paving the way for new research and development opportunities in these critical areas.

Understanding Multiprogram Take-Up of Safety Net Programs Among California Families.

Introduction: The U.S. safety net, which provides critical aid to households with low income, is composed of a patchwork of separate programs, and many people with low income benefit from accessing <1 program. However, little is known about multiprogram take-up, that is, participation conditioned on eligibility. This study examined individual and multiprogram take-up patterns and sociodemographic factors associated with multiprogram take-up of U.S. safety net programs. Methods: The Assessing California Communities' Experiences with Safety Net Supports study interviewed Californians and reviewed their 2019 tax forms between August 2020 and May 2021. Take-up of safety net programs was calculated among eligible participants (n=365), including the Earned Income Tax Credit; Supplemental Nutrition Assistance Program; the Special Supplemental Nutrition Program for Women, Infants, and Children; and Medicaid. Multivariable regressions identified sociodemographic factors associated with take-up of multiple programs. Results: Take-up was highest for Medicaid (90.6%) and lowest for Supplemental Nutrition Assistance Program (57.5%). Among people who received benefits from at least 1 other program, take-up ranged from 81.7% to 84.8% for the Earned Income Tax Credit; 54.4%-62.0% for Supplemental Nutrition Assistance Program; 74.3%-80.1% for Special Supplemental Nutrition Program for Women, Infants, and Children; and 89.7%-98.1% for Medicaid. Having a lower income and being younger were associated with concurrent take-up of Supplemental Nutrition Assistance Program and Special Supplemental Nutrition Program for Women, Infants, and Children. Among Supplemental Nutrition Assistance Program and Special Supplemental Nutrition Program for Women, Infants, and Children recipients, having higher income, being older, and being primarily English speaking were associated with Earned Income Tax Credit take-up. Conclusions: Individual and multiprogram take-up vary between programs and by sociodemographic factors. Findings suggest opportunities to increase take-up of potentially synergistic programs by improving cross-program coordination, data sharing, and targeted recruitment of underenrolled subgroups (Supplemental Nutrition Assistance Program and Special Supplemental Nutrition Program for Women, Infants, and Children).

Utilizing maternal healthcare services: are female-headed households faring poorly?

BACKGROUND: Utilization of maternal healthcare services has a direct bearing on maternal mortality but is contingent on a wide range of socioeconomic factors, including the sex of the household head. This paper studies the role of the sex of the household head in the utilization of maternal healthcare services in India using data from the National Family Health Survey-V (2019-2021). METHODS: The outcome variable of this study is maternal healthcare service utilization. To that end, we consider three types of maternal healthcare services: antenatal care, skilled birth assistance, and postnatal care to measure the utilization of maternal healthcare service utilization. The explanatory variable is the sex of the household head and we control for specific characteristics at the individual level, household-head level, household level and spouse level. We then incorporate a bivariate logistic regression on the variables of interest. RESULTS: 24.25% of women from male-headed households have complete utilization of maternal healthcare services while this proportion for women from female-headed households stands at 22.39%. The results from the bivariate logistic regression confirm the significant impact that the sex of the household head has on the utilization of maternal healthcare services in India. It is observed that women from female-headed households in India are 19% (AOR, 0.81; 95% CI: 0.63,1.03) less likely to utilize these services than those from male-headed households. Moreover with higher levels of education, there is a 25% (AOR, 1.25; 95% CI: 1.08,1.44) greater likelihood of utilizing maternal healthcare services. Residence in urban areas, improved wealth quintiles and access to healthcare facilities significantly increases the chances of maternal healthcare utilization. The interaction term between the sex of the household head and the wealth quintile the household belongs to, (AOR, 1.39; 95% CI: 1.02, 1.89) shows that the utilization of maternal healthcare services improves when the wealth quintile of the household improves. CONCLUSION: The results throw light on the fact that the added expenditure on maternal healthcare services exacerbates the existing financial burden for the economically vulnerable female-headed households. This necessitates the concentration of research and policy attention to alleviate these households from the sexual and reproductive health distresses. TRIAL REGISTRATION: Not Applicable. JEL CLASSIFICATION: D10, I12, J16.

Partnering With Technology: Advancing Laparoscopy With Artificial Intelligence and Machine Learning.

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative technologies in optimizing laparoscopic surgery, offering innovative solutions to enhance surgical precision, efficiency, and safety. This editorial explores the potential role of AI/ML across the surgical continuum, including preoperative optimization, intraoperative assistance, and postoperative care. It outlines the benefits of laparoscopic surgery compared to traditional open procedures and identifies current challenges such as technical difficulty and human error. The editorial discusses how AI and ML technologies can address these challenges, including patient selection and risk stratification, surgical planning and simulation, and personalized medicine approaches. Moreover, it examines the role of AI/ML in intraoperative assistance, such as instrument tracking and guidance, real-time tissue analysis, and the detection of potential complications. Postoperative care and follow-up are also explored, highlighting the potential of AI/ML in monitoring patient recovery, predicting and preventing complications, and tailoring rehabilitation plans. Ethical concerns surrounding data privacy and security, the lack of transparency in decision-making, potential job displacement, and regulatory frameworks are discussed as challenges to the widespread adoption of AI/ML in laparoscopic surgery. Finally, potential areas for further research and exploration are outlined, emphasizing interdisciplinary collaboration and the need for transparent and accountable AI systems. Overall, this editorial provides insights into the challenges and opportunities in harnessing AI/ML technologies to optimize laparoscopic surgery and improve patient outcomes.

Continuous palliative sedation until death: a qualitative study of palliative care clinicians' experiences.

BACKGROUND: The practice of continuous palliative sedation until death is the subject of much medical and ethical debate, which is reflected in the inconsistency that persists in the literature regarding the definition and indications of palliative sedation. AIM: This study aims to gain a better understanding of palliative care clinicians' experiences with continuous palliative sedation. DESIGN: We conducted a qualitative study based on focus group discussions. SETTING/PARTICIPANTS: We conducted six focus groups with a total of 28 palliative care clinicians (i.e., 15 nurses, 12 physicians, and 1 end-of-life doula) from diverse care settings across Canada, where assisted dying has recently been legalized. RESULTS: An interpretative phenomenological analysis was used to consolidate the data into six key themes: responding to suffering; grappling with uncertainty; adapting care to ensure ongoing quality; grounding clinical practice in ethics; combining medical expertise, relational tact, and reflexivity; and offering an alternative to assisted death. CONCLUSIONS: Interaction with the patient's family, uncertainty about the patient's prognosis, the concurrent practice of assisted dying, and the treatment of existential suffering influence the quality of sedation and indicate a lack of clear palliative care guidelines. Nevertheless, clinicians exhibit a reflective and adaptive capacity that can facilitate good practice.

Fulminant Myocarditis and Venoarterial Extracorporeal Membrane Oxygenation: A Systematic Review.

This systematic review aimed to look at the effectiveness of venoarterial extracorporeal membrane oxygenation (VA-ECMO) therapy in treating fulminant myocarditis and evaluating the optimal length of time a patient should be placed on VA-ECMO. Fulminant myocarditis is a potentially life-threatening medical condition most commonly brought on by cardiogenic shock, which often progresses to severe circulatory compromise, requiring the patient to be placed on some form of mechanical circulatory assistance to maintain adequate tissue perfusion. Medical centers have multiple mechanical assistive devices available for treatment at their disposal, but our area of focus was placed on one system in particular: VA-ECMO therapy. Although the technology has been around for more than 30 years, there is limited information on how effective VA-ECMO is regarding the treatment of fulminant myocarditis. Due to the lack of data regarding the treatment administration of VA-ECMO for fulminant myocarditis, standard treatment duration guidelines do not exist, resulting in a wide variation of treatment administrations among medical centers. In regard to short-term outcomes, VA-ECMO has shown to be effective in treating fulminant myocarditis, with a one-year post-hospital survival rate ranging from 57.1% to 78% at discharge. For long-term health and survival, the studies that recorded long-term survival ranged from 65% to 94.1%. However, given the small number of studies that pursue this, more research is needed to prove the efficacy of VA-ECMO for the treatment of fulminant myocarditis.

Evaluating the advantages of passive exoskeletons and recommendations for design improvements.

Construction and manufacturing workers undertake physically laborious activities which put them at risk of developing serious musculoskeletal disorders (MSDs). In the EU, millions of workers are being affected by workplace-related MSDs, inflicting huge financial implications on the European economy. Besides that, increased health problems and financial losses, severe shortages of skilled labor also emerge. The work aims to create awareness and accelerate the adoption of exoskeletons among SMEs and construction workers to reduce MSDs. Large-scale manufacturers and automobile assemblers are more open to adopt exoskeletons, however, the use of exoskeletons in small and medium enterprises (SMEs) is still not recognized. This paper presents an experimental study demonstrating the advantages of different exoskeletons while performing workers' tasks. The study illustrates how the use of certain upper and lower body exoskeletons can reduce muscle effort. The muscle activity of the participants was measured using EMG sensors and was compared while performing designated tasks. It was found that up to 60% reduction in human effort can be achieved while performing the same tasks using exoskeletons. This can also help ill workers in rehabilitation and putting them back to work. The study concludes with pragmatic recommendations for future exoskeletons.

Refusals and Requests: In Defense of Consistency.

Physicians place significant weight on the distinction between acts and omissions. Most believe that autonomous refusals for procedures, such as blood transfusions and resuscitation, ought to be respected, but they feel no similar obligation to accede to requests for treatment that will, in the physician's opinion, harm the patient (e.g., assisted death). Thus, there is an asymmetry. In this paper, we challenge the strength of this distinction by arguing that the ordering of values should be the same in both cases. The reason for respecting refusals is that, in such cases, autonomy outweighs well-being. We argue that the same should be true in request cases, which means that requests should not be denied only due to the treatment being too harmful in the physician's opinion. Our strategy is to consider and reject a number of arguments for the asymmetrical view, including an appeal to the doing-allowing distinction and positive and negative rights. The duty to respect refusals is still greater than the duty to grant requests on our view, but, by arguing that the ordering of values is the same in both cases, we show that there is less of a distinction in healthcare between requests and refusals than many currently believe.

Evaluation of controllers for augmentative hip exoskeletons and their effects on metabolic cost of walking: explicit versus implicit synchronization.

Background: Efficient gait assistance by augmentative exoskeletons depends on reliable control strategies. While numerous control methods and their effects on the metabolic cost of walking have been explored in the literature, the use of different exoskeletons and dissimilar protocols limit direct comparisons. In this article, we present and compare two controllers for hip exoskeletons with different synchronization paradigms. Methods: The implicit-synchronization-based approach, termed the Simple Reflex Controller (SRC), determines the assistance as a function of the relative loading of the feet, resulting in an emerging torque profile continuously assisting extension during stance and flexion during swing. On the other hand, the Hip-Phase-based Torque profile controller (HPT) uses explicit synchronization and estimates the gait cycle percentage based on the hip angle, applying a predefined torque profile consisting of two shorter bursts of assistance during stance and swing. We tested the controllers with 23 naïve healthy participants walking on a treadmill at 4 km ⋅ h-1, without any substantial familiarization. Results: Both controllers significantly reduced the metabolic rate compared to walking with the exoskeleton in passive mode, by 18.0% (SRC, p < 0.001) and 11.6% (HPT, p < 0.001). However, only the SRC led to a significant reduction compared to walking without the exoskeleton (8.8%, p = 0.004). The SRC also provided more mechanical power and led to bigger changes in the hip joint kinematics and walking cadence. Our analysis of mechanical powers based on a whole-body analysis suggested a reduce in ankle push-off under this controller. There was a strong correlation (Pearson's r = 0.778, p < 0.001) between the metabolic savings achieved by each participant with the two controllers. Conclusion: The extended assistance duration provided by the implicitly synchronized SRC enabled greater metabolic reductions compared to the more targeted assistance of the explicitly synchronized HPT. Despite the different assistance profiles and metabolic outcomes, the correlation between the metabolic reductions with the two controllers suggests a difference in individual responsiveness to assistance, prompting more investigations to explore the person-specific factors affecting assistance receptivity.