ethicalabs/Research-Intent-Collab huggingface dataset:
Roboticslab based simulation for extraction of reaction force in multi DOF surgical robot dynamic system and analysis

In modern robotic Surgery, the surgical systems are being involved with multiple degrees of freedom to facilitate dexterity and precise operation in human body. In previous studies, it has shown that, the perturbation observer of sliding mode control with sliding perturbation observer (SMCSPO) can estimate the reaction force acting on the instrument tip. The perturbation is defined as the combination of the uncertainties and nonlinear terms where the major uncertainties arise from the reaction force. However in presence of external dynamics, the vertical instrument inside the body has some effects during operation. Therefore the reaction force estimated by SPO will be a combination of actual reaction force and external disturbances. It is necessary for the surgeon to measure the disturbance effects on the instrument during operation for the sake of safety. This paper studies about dynamic disturbances acting on the instrument using SMCSPO algorithm. A three DOF robot has formed with surgical instrument in RoboticsLab environment. Simulation has shown that SPO of SMCSPO can estimate the actual reaction force quite correctly when the surgical robot is fixed. However, it shows that SPO does not have satisfactory results when the instrument carrying robot's joint are free to move. It has seen that the estimated perturbation of each joint of robot has no relation with each other. Therefore measuring disturbances of the robot joints can be calculated using forward kinematics laws.
Programmable photonic neural networks combining WDM with coherent linear optics

AbstractNeuromorphic photonics has relied so far either solely on coherent or Wavelength-Division-Multiplexing (WDM) designs for enabling dot-product or vector-by-matrix multiplication, which has led to an impressive variety of architectures. Here, we go a step further and employ WDM for enriching the layout with parallelization capabilities across fan-in and/or weighting stages instead of serving the computational purpose and present, for the first time, a neuron architecture that combines coherent optics with WDM towards a multifunctional programmable neural network platform. Our reconfigurable platform accommodates four different operational modes over the same photonic hardware, supporting multi-layer, convolutional, fully-connected and power-saving layers. We validate mathematically the successful performance along all four operational modes, taking into account crosstalk, channel spacing and spectral dependence of the critical optical elements, concluding to a reliable operation with MAC relative error $$&lt; 2\%$$                                        &lt;                     2                     %                                    .
The impact of nurse work environment on nurse outcomes, nurse-perceived quality of care and patient safety in Saudi Arabia

Background: The current shortage of nurses jeopardizes the quality and safety of patient care globally, and is particularly serious in Saudi Arabia. There is ample evidence that nurse work environments are important to nurses’ job satisfaction, burnout, and retention, and the quality and safety of patient care. However, most of this research has been conducted in the United States and Europe with very little emanating from Saudi Arabia or the Middle East. Purpose: This study investigated relationships between components of nurse work environment and nurse outcomes and nurse-perceived quality of care and patient safety. Methods: This correlational study was conducted using cross-sectional data collected from 496 registered nurses working in a large tertiary hospital in Riyadh, Saudi Arabia. Participants completed an online survey similar to that used in RN4Cast studies. Nurse-reported measures were used to assess nurses’ perceptions of their work environments, nurse-outcomes (i.e., job satisfaction, burnout, and intent to leave), and nurses’ perceptions of quality of care and patient safety. Hierarchical logistic regression was conducted to examine the relationships between components of nurse work environment and nurse and patient outcomes, after controlling for nurse and patient characteristics. Findings: Nurses’ perceptions of staffing and resource adequacy was predictive of all nurse outcomes except for intent to leave whereas nurse manager ability and leadership was found to be predictive only of job satisfaction. In terms of patient outcomes, staffing and resources adequacy and nursing foundation for quality of care were found to be the only independent predictors of quality of care and patient safety. Implications for Nurse Leaders: Nurse leaders in Saudi Arabia should give special attention to staffing and resources adequacy, nursing management and leadership, and nursing foundation for care delivery at the unit level. Hospitals in Saudi Arabia should strive for magnet-like qualities as they play a critical role in the recruitment and retention of nurses and contribute to better quality and safe care delivery. Conclusion: Magnet-like work environments that are culturally sensitive are critical to attracting and retaining Saudi nurses and nurses from other countries who are currently vital to alleviating the nursing shortage in Saudi Arabia.
The mediating effect of trust on the relationship between doctor–patient communication and patients' risk perception during treatment

AbstractDoctor–patient communication interacts with patients' satisfaction to influence patients' risk perception. Current theories to explain this relationship have assumed particular psychological processes to explain observations of risk‐sensitive behavior in an economic setting, but as of yet, they have not addressed whether it is adaptive for a decision‐maker in a health‐care situation. In addition, little is known about the role of interpersonal trust between doctor and patient. We surveyed 602 patients to examine the way in which trust, communication, and patients' satisfaction are related to patients' risk perception about uncertainties in medical treatment. The results showed that patients held a relatively low level of risk perception, which means that they had insufficient preparation for the possibility of uncertainties about the treatment. The association between doctor–patient communication and patients' perceived risk was mediated by doctor–patient trust. These results suggest that there is a relationship among good doctor–patient communication, patients' trust in medical staff, and perceived risk during medical treatment. Finally, theoretical and practical implications are discussed.
The science behind One Health: at the interface of humans, animals, and the environment

Humans face a grand quality‐of‐life challenge as growing demands for resources for an ever‐expanding population threaten the existence of wildlife populations, degrade land, and pollute air and water. Public investment and policy decisions that will shape future interactions of humans, animals, and the environment need scientific input to help find common ground for durable and sustainable success. The Second International Conference on One Medicine One Science brought together a broad range of scientists, trainees, regulatory authorities, and health experts from 34 countries to inform and discuss the human impacts of air quality; the complexities of water quality, access, and conflicts; the opportunities and uncertainties in precision medicine; and the role of science communication in health policy formulation. Workshops focused on the roles and development of physician–scientists and multidisciplinary teams in complex problem solving, Big Data tools for analysis and visualization, international policy development processes, and health models that benefit animals and humans. Key realizations were that local and regional health challenges at the interface of humans, animals, and the environment are variations of the same overarching conflicts and that international gatherings provide new opportunities for investigation and policy development that are broadly applicable.
From Co-prime to the Diophantine Equation Based Sparse Sensing

With a careful design of sample spacings either in temporal and spatial domain, co-prime sensing can reconstruct the autocorrelation at a significantly denser set of points based on Bazout theorem. However, still restricted from Bazout theorem, it is required O(M1 + M2) samples to estimate frequencies in the case of co-prime sampling, where M1 and M2 are co-prime down-sampling rates. Besides, for Direction-of-arrival (DOA) estimation, the sensors can not be arbitrarily sparse in co-prime arrays. In this letter, we restrain our focus on complex waveforms and present a framework under multiple samplers/sensors for both frequency and DOA estimation based on Diophantine equation, which is essentially to estimate the autocorrelation with higher order statistics instead of the second order one. We prove that, given arbitrarily high down-sampling rates, there exist sampling schemes with samples to estimate autocorrelation only proportional to the sum of degrees of freedom (DOF) and the number of snapshots required. In the scenario of DOA estimation, we show there exist arrays of N sensors with O(N^3) DOF and O(N) minimal distance between sensors.
Improving the Efficiency of Subgroup Analysis in Randomized Controlled Trials with TMLE

Subgroup analyses within randomized controlled trials are often underpowered due to limited sample sizes. We address this challenge by leveraging trial participants outside the subgroup of interest to augment estimation within the subgroup. Specifically, we study two Targeted Maximum Likelihood Estimators (TMLEs) that borrow information from non-subgroup participants within the same trial: a TMLE with pooled regression (TMLE-PR) and an Adaptive Targeted Maximum Likelihood Estimator (A-TMLE). Both estimators enable information sharing without relying on any external real-world data, thereby capitalizing on key strengths of the trial: most importantly, the protection against bias afforded by the randomized treatment, but also harmonized data collection, and consistent treatment and outcome definitions. The general strategy proposed here directly advances the priorities of key regulatory agencies, including the FDA, by improving the precision of subgroup-specific treatment effect estimates without introducing external sources of bias, thereby facilitating rigorous inference to support equitable labeling, access, and post-market evaluation. In a case study based on analysis of data from a cardiovascular outcome trial (LEADER, NCT01179048), we estimate the risk reduction of major adverse cardiac events (MACE) under liraglutide treatment among Black and Asian subgroups -- each comprising less than 10\% of the trial population -- using the proposed estimators that borrow information from the remainder of the trial. Using A-TMLE, in particular, we find estimated absolute MACE risk reductions of 1.6, 1.5, and 1.5 percentage points among Asian participants and 2.1, 2.0, and 2.1 percentage points among Black participants at 365, 540, and 730 days, respectively, with 95\% confidence intervals excluding the null at each time point.
Pharmacokinetic-Directed High-Dose Busulfan Combined with Cyclophosphamide and Etoposide Results in Predictable Drug Levels and Durable Long-Term Survival in Lymphoma Patients Undergoing Autologous Stem Cell Transplantation

The clinical advantage of pharmacokinetic (PK)-directed-based dosing on intravenous (i.v.) versus oral busulfan-related toxicity and survival remains unclear. We performed a retrospective cohort study of sequential cohorts of patients comparing PK-directed oral and i.v. busulfan-based conditioning regimens in lymphoma patients undergoing autologous hematopoietic cell transplantation (ASCT). Patients received oral (n = 95), every 6 hours i.v. (IV16, n = 113), or once-daily i.v. (IV4, n = 86) busulfan, cyclophosphamide, and etoposide. PK-directed dosing was performed to achieve a predefined target area under the curve (AUC) of 20,000 μM-min (range: 18,400-21,600 μM-min). PK-directed dose adjustments markedly reduced the number of patients in the oral group with total AUC higher than the targeted AUC range, and reduced the variations of total AUC values in all patient groups. One hundred-day mortality was 2.1%, 3.6%, and 3.5% for oral, IV16, and IV4 cohorts, respectively. Five-year overall survival (OS) was 57% (95% confidence interval [CI] 45%-66%) and 64% (95% CI 53%-73%) for patients who received oral and i.v. busulfan, respectively. Both multivariable and instrumental variable analyses indicated the route of delivery had no significant impact on OS, whereas refractory disease and age ≥55 were significantly associated with poorer OS. In lymphoma patients undergoing ASCT, PK-directed i.v. or oral busulfan-based conditioning regimens have comparable toxicity and OS.
Personalized Medicine, Genomics, and Pharmacogenomics

Personalized medicine is the study of patients' unique environmental influences as well as the totality of their genetic code-their genome-to tailor personalized risk assessments, diagnoses, prognoses, and treatments. The study of how patients' genomes affect responses to medications, or pharmacogenomics, is a related field. Personalized medicine and genomics are particularly relevant in oncology because of the genetic basis of cancer. Nurses need to understand related issues such as the role of genetic and genomic counseling, the ethical and legal questions surrounding genomics, and the growing direct-to-consumer genomics industry. As genomics research is incorporated into health care, nurses need to understand the technology to provide advocacy and education for patients and their families.
Mitigating crosstalk errors by randomized compiling: Simulation of the BCS model on a superconducting quantum computer

We develop and apply an extension of the randomized compiling (RC) protocol that includes a special treatment of neighboring qubits and dramatically reduces crosstalk effects caused by the application of faulty gates on superconducting qubits in IBMQ quantum computers ( and ). Crosstalk errors, stemming from controlled- () two-qubit gates, are a crucial source of errors on numerous quantum computing platforms. For the IBMQ machines, their effect on the performance of a given quantum computation is often overlooked. Our RC protocol turns coherent noise due to crosstalk into a depolarizing noise channel that can then be treated using established error mitigation schemes, such as noise estimation circuits. We apply our approach to the quantum simulation of the nonequilibrium dynamics of the Bardeen-Cooper-Schrieffer (BCS) Hamiltonian for superconductivity, a particularly challenging model to simulate on quantum hardware because of the long-range interaction of Cooper pairs. With 135  gates, we work in a regime where crosstalk, as opposed to either Trotterization or qubit decoherence, dominates the error. Our twirling of neighboring qubits is shown to dramatically improve the noise estimation protocol without the need to add new qubits or circuits and allows for a quantitative simulation of the BCS model.                                                                     Published by the American Physical Society                 2024
Quantum gyro-electric effect: Photon spin-1 quantization in continuum topological bosonic phases

Topological phases of matter arise in distinct fermionic and bosonic flavors. The fundamental differences between them are encapsulated in their rotational symmetries - the spin. Although spin quantization is routinely encountered in fermionic topological edge states, analogous quantization for bosons has proven elusive. To this end, we develop the complete electromagnetic continuum theory characterizing 2+1D topological bosons, taking into account their intrinsic spin and orbital angular momentum degrees of freedom. We demonstrate that spatiotemporal dispersion (momentum and frequency dependence of linear response) captures the matter-mediated interactions between bosons and is a necessary ingredient for topological phases. We prove that the bulk topology of these 2+1D phases is manifested in transverse spin-1 quantization of the photon. From this insight, we predict two unique bosonic phases - one with even parity $C=\pm 2$ and one with odd $C=\pm 1$. To understand the even parity phase $C=\pm 2$, we introduce an exactly solvable model utilizing non-local optical Hall conductivity and reveal a single gapless photon at the edge. This unidirectional photon is spin-1 helically quantized, immune to backscattering, defects, and exists at the boundary of the $C=\pm 2$ bosonic phase and any interface - even vacuum. The contrasting phenomena of transverse quantization in the bulk, but longitudinal (helical) quantization on the edge is addressed as the quantum gyro-electric effect (QGEE). We also validate our bosonic Maxwell theory by direct comparison with the supersymmetric Dirac theory of fermions. To accelerate the discovery of such bosonic phases, we suggest two new probes of topological matter with broken time-reversal symmetry: momentum-resolved electron energy loss spectroscopy and cold atom near-field measurement of non-local optical Hall conductivity.
The united nations security council reforms in a changing world order

Interstate relations are changing so rapidly that many scholars are now asking that stateswill meet challenges of the new century. With the changing interstate relations, thescholars are debating how these changes have direct impact on the role of the SecurityCouncil because the United Nations Security Council is no exception to the general rulethat every organization needs periodic reform or reorganization. However, actually littlewas done about the United Nations reform until the early 1990s, when the end of theCold War opened up possibilities for change. With the end of the Cold War, the periodbecame different for the work of the Security Council. The differences of the agendacreated a demand for significant change in the Security Council. This dramatic changecaused many countries to review the pattern of their international relations in general andtheir participation in the United Nations in particular. This behaviour of the membercountries resulted with their insistence on the United Nations reforms. In this respect, theaim of the thesis is the UN reform efforts in the changing world order.Key words: United Nations, Security Council, international organizations, change, worldorder, reform
A tale of two vortices: how numerical ergodic theory and transfer operators reveal fundamental changes to coherent structures in non-autonomous dynamical systems

Coherent structures are spatially varying regions which disperse minimally over time and organise motion in non-autonomous systems. This work develops and implements algorithms providing multilayered descriptions of time-dependent systems which are not only useful for locating coherent structures, but also for detecting time windows within which these structures undergo fundamental structural changes, such as merging and splitting events. These algorithms rely on singular value decompositions associated to Ulam type discretisations of transfer operators induced by dynamical systems, and build on recent developments in multiplicative ergodic theory. Furthermore, they allow us to investigate various connections between the evolution of relevant singular value decompositions and dynamical features of the system. The approach is tested on models of periodically and quasi-periodically driven systems, as well as on a geophysical dataset corresponding to the splitting of the Southern Polar Vortex.
An Automatic Approach to Building Earth Science Knowledge Graph to Improve Data Discovery (ESKG)

This presentation aims to provide…an introduction to ESKG (for those who may have never heard of it before)an update on the ESKG testbed Project (for those who have…)a budget updatefuture plans and community building effortsWho is this presentation for?Put simply anyone with an interest in the ESIP Labs projectSemantic TechnologistsData integration and discovery enthusiastsWhat are the takeaways?Learn about the growing ESIP Semantic Technology stackLearn about the ESKG codebase - https://github.com/ESIPFed/eskg/Consider getting engaged in the process of building linked open data and knowledge graph(s) for the Earth Sciences community.
Exploring the Relationship Between Social Media Usage and Mental Health Among Adolescents

This study investigates the effects of social media usage on the mental health of adolescents, focusing on issues such as anxiety, self-esteem, and depression. Using surveys and interviews, the research examines how prolonged exposure to social media content, peer comparison, and cyberbullying contribute to mental health challenges. Findings indicate that while social media fosters connectivity, it can also exacerbate mental health issues, highlighting the need for greater awareness and parental guidance.
On the Data Freshness for IoT Traffic Modelling in Real-Time Emergency Observation Systems

Internet of things (IoT) and fog computing based observation systems are gaining more importance as Internet becomes the main infrastructure to augment the pervasiveness in remote monitoring of the physical world. Considering the explosion in the number of connected “things”, the increase of data traffic density on interconnection devices (i.e., IoT gateways) becomes an important problem for scalable real-time emergency detection and monitoring. Thus, data traffic analysis and modeling of fog services become an important research area to get more insights into real-time behavior of such systems. The outcomes of such analysis are important for prediction of IoT system behavior in a given network topology. In this paper, we elaborate on an architectural solution for periodic data acquisition from a wireless sensor network(WSN). To this end, we propose a publish/subscribe (P/S) based observation scheme which simultaneously interconnects clients to different kind of sensor devices over a fog layer service. Then, we examine the data freshness which is a critical traffic modeling parameter for real-time emergency observation. With using such scheme, we devise an analysis for understanding the behavior of the overall system in the context of data freshness. The results obtained from our experimental setup illustrate the appropriateness of freshness time calculation methods for obtaining the required service quality.
Policies and strategies to facilitate secondary use of research data in the health sciences

Data are increasingly seen as a fundamental resource that underpins research across biomedicine and the broader health sciences. They often have important value and utility beyond the purpose for which they were originally collected. Recognizing this, many initiatives across the globe actively seek to enable and promote greater sharing of research data, and most major funders now require researchers to set out formal plans for managing and sharing their data with users beyond their own study team. To provide a contextual backdrop to the article and to point the reader to additional sources of relevant information, we include a table listing examples of international, regional and national projects that seek to enhance and facilitate data sharing in a variety of different ways.