Aspects Of Control Research Articles

Quality control of digestive tract reconstruction after robotic gastrectomy

With features such as high-definition magnification of the surgical field, filtering of hand tremor, and robotic arm with multi-degree-of-freedom rotatable wrist, surgical robot has unique advantages in various aspects of digestive tract reconstruction (DTR) after robotic gastrectomy (RG). Currently, there is still controversy about the selection and standardized application of DTR after RG for gastric cancer. To standardize the selection and implementation of DTR, we describe various aspects of quality control before DTR, selection of indications, principles of DTR, and prevention and management of postoperative complications of DTR. We also comment on the operation details of robotic-assisted and total robotic DTR, including manual suture, linear anastomosis with linear stapler, and circular anastomosis with circular stapler. Meanwhile, we propose our prospects on the potential application of new technology in robotic DTR for gastric cancer.

Exploring local attitudes towards current and potential future invasive wasp management in Aotearoa New Zealand

ABSTRACT Social support for pest management programs is essential to their success. In this study, we explored stakeholder perceptions of current wasp management and what attempting eradication means for them. Local stakeholders involved in 7 conservation or pest management projects across Aotearoa New Zealand were interviewed. Q-method analysis identified two major perspectives across the participants. A target-driven and ambitious perspective emerged where eradication of invasive wasps was the objective and any control method deemed effective could be used to achieve that goal. Negative impacts of management could be justified by removing the larger negative impact of wasps on the environment. The second perspective identified agreed that wasps must be managed but were characterised as more holistically minded. Control methods perceived to have negative impacts to the wider ecosystem were deemed less acceptable. Education and engagement were highlighted as essential to increase local support for future wasp management. Developing pest management strategies informed by mana whenua is especially crucial, and hapū enabled to draw on their mātauranga Māori may provide new insights into developing effective and acceptable pest management practices. Emphasis not just on technical but social and cultural aspects of wasp eradication and control will be vital for successful wasp management. Glossary of Māori words: Hapū: subtribal group; iwi: tribal group; maramataka: Māori lunar calendar; mātauranga Māori: Māori knowledge systems; mauri: life force or vital essence; taonga: precious thing or treasure; tapu: sacred, restricted or prohibited; te ao Māori: Māori worldview; tohu: a sign or indication; whakapapa: genealogy or line of descent

Target Controllability: a Feed-Forward Greedy Algorithm in Complex Networks, Meeting Kalman's Rank Condition.

The concept of controllability within complex networks is pivotal in determining the minimal set of driver vertices required for the exertion of external signals, thereby enabling control over the entire network's vertices. Target controllability further refines this concept by focusing on a subset of vertices within the network as the specific targets for control, both of which are known to be NP-hard problems. Crucially, the effectiveness of the driver set in achieving control of the network is contingent upon satisfying a specific rank condition, as introduced by Kalman. On the other hand, structural controllability provides a complementary approach to understanding network control, emphasizing the identification of driver vertices based on the network's structural properties. However, in structural controllability approaches, the Kalman condition may not always be satisfied. In this study, we address the challenge of target controllability by proposing a feed-forward greedy algorithm designed to efficiently handle large networks while meeting the Kalman controllability rank condition. We further enhance our method's efficacy by integrating it with Barabasi et al.'s structural controllability approach. This integration allows for a more comprehensive control strategy, leveraging both the dynamical requirements specified by Kalman's rank condition and the structural properties of the network. Empirical evaluation across various network topologies demonstrates the superior performance of our algorithms compared to existing methods, consistently requiring fewer driver vertices for effective control. Additionally, our method's application to protein-protein interaction networks associated with breast cancer reveals potential drug repurposing candidates, underscoring its biomedical relevance. This study highlights the importance of addressing both structural and dynamical aspects of network controllability for advancing control strategies in complex systems. The source code is available for free at: Https://github.com/fatemeKhezry/targetControllability. Supplementary data are available at Bioinformatics online.

Cognitive functions explain discrete parameters of normal walking and dual-task walking, but not postural sway in quiet stance among physically active older people.

Postural control is dependent on the central nervous system's accurate interpretation of sensory information to formulate and execute adequate motor actions. Research has shown that cognitive functions are associated with both postural control and fall risk, but specific associations are not established. The aim of this study was to explore how specific components of everyday postural control tasks are associated with both general and specific cognitive functions. Forty-six community-dwelling older adults reported their age, sex, physical activity level, falls and fall-related concerns. The following cognitive aspects were assessed: global cognition, executive functions, processing speed and intraindividual variability. Postural control was quantified by measuring postural sway in quiet stance, walking at a self-selected pace, and walking while performing a concurrent arithmetical task. Separate orthogonal projections of latent structures models were generated for each postural control outcome using descriptive and cognitive variables as explanatory variables. Longer step length and faster gait speed were related to faster processing speed and less intraindividual variability in the choice reaction test. Moreover, longer step length was also related to less fall-related concerns and less severe fall-related injuries, while faster gait speed was also related to female sex and poorer global cognition. Lower dual-task cost for gait speed was explained by the executive function inhibition and faster processing speed. Postural sway in quiet stance was not explained by cognitive functions. Cognitive functions explained gait speed and step length during normal walking, as well as the decrease of gait speed while performing a concurrent cognitive task. The results suggest that different cognitive processes are important for different postural control aspects. Postural sway in quiet stance, step time and gait variability seem to depend more on physical and automatic processes rather than higher cognitive functions among physically active older people. The relationships between cognitive functions and postural control likely vary depending on the specific tasks and the characteristics of different populations.

The potential of Terminalia chebula in alleviating mild cognitive impairment: a review

Terminalia chebula Retz. (T. Chebula, ཨ་རུ་ར།) is highly utilized in ethnic medicine. Its medicinal value is gradually being recognized and shows great potential in the improvement of mild cognitive impairment (MCI) disorders. Tibetan medicine theory classifies this type of disease as one of the “Jie Xie Syndrome (བརྗེད་བྱེད།).” The role of T. Chebula in such diseases has been increasingly studied. This work aimed to elucidate the research progress of T. Chebula in alleviating MCI. The review offers a critical update on the current understanding of the effect of T. Chebula on MCI and highlights new opportunities for exploring its therapeutic potential. This review discusses the role of T. Chebula in alleviating MCI and provides a comprehensive overview of the traditional medicinal uses, chemical composition, toxicology, and quality control aspects of T. Chebula. This review covers 171 chemical constituents and 11 active constituents targeting MCI, such as flavonoids, which can alleviate MCI, primarily through its antioxidative, anti-inflammatory, and neuroprotective properties. T. Chebula shows potential as a natural medicine for the treatment and prevention of MCI. As an important part of ethnomedicinal resources, this work offers valuable insights for future research on T. Chebula-containing ethnomedicines. Research on traditional drug treatments, optimized treatment standards, improved societal knowledge about MCI, and development of an early detection system is essential to the diagnosis and treatment of MCI. These efforts will provide better treatment resources for patients with MCI.

EVALUATION OF STUDENTS' TRAINING LEVEL IN THE ELECTIVE DISCIPLINE "QUALITY SYSTEMS IN PHARMACY"

The pharmaceutical industry is rapidly developing and implementing new innovative approaches and legal regulation of the quality management system of medicinal products, which includes a set of methods, processes and resources that are necessary for quality management. Therefore, the study by students of the specialty 226 "Pharmacy, industrial pharmacy" of the elective discipline "Quality systems in pharmacy" is an important area of professional training of a qualified specialist who will master the methodology of quality management, normative-legislative and organizational-economic aspects of quality control of medicinal products at pharmaceutical enterprises. Training of domestic students in the field of drug technology is an important direction of pharmaceutical education today. The main tasks of studying the elective discipline "Quality Systems in Pharmacy" are: formation of students of higher education in general knowledge about the quality indicators of medicinal products according to the stage of their life cycle by fulfilling the requirements of proper pharmaceutical practices and developing documentation in accordance with their requirements; formation of practical skills; raising the level of general and scientific development of students of higher education, forming their outlook and perspective as modern qualified specialists in the field of pharmacy. The purpose of the work was to study the assessment of the level of training of domestic students in the elective discipline "Quality Systems in Pharmacy". Materials and methods. We used an empirical research method (questionnaire). Questionnaire was a key research method, as it allows to get answers from the student audience regarding the organization of the educational process. A survey was conducted to assess the level of preparation of domestic students of the 5th year of the Faculty of Pharmacy who completed the study of the selective discipline "Quality Systems in Pharmacy". 50 full-time students and 2 distance learning students took part in the survey. Out of all the respondents, only one studies on budget forms of education. Research results. According to the curriculum, the elective discipline "Quality Systems in Pharmacy" at the Faculty of Pharmacy of IFNMU is studied in the V course in the IX semester, at the stage when students have already acquired basic knowledge of pharmaceutical disciplines. The discipline is chosen by already formed specialists who possess a large stock of theoretical knowledge and practical skills and are motivated to study a new subject, so it remains for the teacher to systematize information for the proper conduct of the discipline study course. 3 ECTS credits are provided for the study of the discipline in the curriculum. The discipline includes 20 hours of lectures, 30 hours of practical classes, 40 hours of independent student work and ends with a module. Lecture and practical material taught at the level of modern scientific and practical data with the aim of forming students' program results. We conducted an analysis of problems in the organization of the educational process for students of the Faculty of Pharmacy of the Ivano-Frankivsk National Medical University during full-time education. The success of implementing the selective discipline "Quality Systems in Pharmacy" and ensuring a high level of training depends primarily on the quality of the work of scientific and pedagogical workers.

Ore Characterization and Quality Control Aspects of Gold Cyanidation: The CIL Plant as a Case Study in Sudan

Mineralogical and chemical studies are key to mineral processing because they present the problem of low-grade ores to the metallurgist or mineral processing engineer. Quality control operations are also significant in obtaining good products by flowing the sequences of processes. In this study, the ore was characterized, and quality control issues were discussed. Results showed that the gold grade is 9.7 g/ton, the minerals are mainly silicates, and the pH of the ore is high, which means that without pre-treatment, i.e., roasting, oxidation, etc., it can be cyanided directly. Therefore, the CIL plant could recover more than 90% gold. In quality control of the plant, from each unit at a different time, a representative sample and an accumulative sample were collected and then subjected to analysis like fineness and solid percentage, moisture, and conditions of cyanidation. The results showed steady operation conditions for each unit.

Recent progress in soft robots: principles, designs, and applications

Abstract With advancements in the manufacturing industry persisting, soft robots have experienced rapid development, progressively emerging as a pivotal focus in the future trajectory of robotic technology. As a new type of robot technology, soft robots have significant differences from traditional robots in terms of principles, driving methods, design control, and other aspects. Here, we sort out and summarize the latest developments in soft robotics. Firstly, typical principles and driving methods were introduced, including rope drive, variable stiffness drive (gas negative pressure, intelligent fluids, etc), electromagnetic drive, and so on. Secondly, the main materials and characteristics of soft robots are analyzed, including hydrogels, shape memory alloys, photosensitive materials, electromagnetic rheological elastomer, biodegradable materials, etc. Then, typical soft robot structures and processing methods were introduced, including fluid static skeleton structures, muscle fluid static skeleton structures, and others. Finally, the problems of soft robots are analyzed, and the future development direction and importance are summarized. This paper highlights the recent progress in smart functional materials, typical biomimetic structures, and assembly methods applicable to soft robots, which is expected to assist the development and advancement of the next generation of soft robots.

Household expenditure on control of urban mosquitoes Aedes albopictus and Culex pipiens in Emilia-Romagna, Northern Italy.

In 2007, the first outbreak of Chikungunya in Italy generated great alarm, highlighting the health risks caused by exotic species recently introduced in Europe and the need to strengthen control actions against the vectors. Besides health risks, mosquitoes cause nuisance, and citizens are required to adopt control measures. While the economic aspects of mosquito control by public agencies have been investigated, the scientific literature on the costs of mosquito protection incurred by families is scarce. This study assessed the households' expenditure on protective measures against mosquitoes in Emilia-Romagna, a region in Northern Italy. A phone questionnaire survey was conducted to collect data on the annual expenditure incurred by households for self-protection against mosquitos in relation to the perceived level of nuisance and the household and dwelling characteristics. Univariate and multivariate analyses were conducted to identify the main determinants influencing such expenditure, which resulted affected by dwelling characteristics, presence of children under 6 years of age, and health concerns of family members. The average annual household expenditure was estimated at 84.63 euros, about 30 times higher than the expenditure per household supported by regional and local administrations for interventions against mosquitoes in public areas, as calculated in a previous study. Household expenditure is mainly aimed at providing a direct defense against mosquito bites (mosquito nets, adulticides, skin-on repellents, etc.) while spending for more effective measures addressed to reduce mosquito density results marginal: e.g., only 3.5% of the total expenditure was dedicated to larval control. Control activities that lower the mosquito density in both private and public areas could reduce the use of household insecticides in urban environments and the related costs, and the risk of spread of imported arboviruses as well.

Synergistic management of nitrogen contamination in overflow wastewater and algal proliferation in lake receiving wastewater based on electrochemical oxidation process

Urban lake eutrophication, largely driven by overflow wastewater, plays a pivotal role in precipitating algal proliferation due to heightened nitrogen levels in aquatic ecosystem. In addressing this question, this study investigated the chloride-mediated electrochemical oxidation system as a promising solution for controlling nitrogen contamination in overflow wastewater and inhibiting algal proliferation in wastewater-receiving urban lakes, and also evaluated the influence of essential operational parameters on the performance of system. The results indicated that, under the environmental conditions set by this experiment, the removal efficiency ranges of ammonia nitrogen and total nitrogen were 14.91 % - 100 % and 13.98 % - 99.62 %, respectively; meanwhile, the maximum algae inhibition rate could reach 100 % at a capacity ratio of 0.01. Response Surface Method analysis highlighted current density as the preeminent factor in nitrogen removal and algae inhibition, surpassing the influence of initial chloride ion and nitrogen concentrations within the system. Notably, an excessive current density could inadvertently lead to the nitrate nitrogen accumulation (up to 29 %), thereby diminishing the total nitrogen removal efficiency, particularly in low nitrogen-concentrated overflow wastewater scenarios. With respect to algae inhibition, a direct correlation was identified between higher residual total chlorine concentrations in the receiving lake and increased algae inhibition rates (R = 0.90, P < 0.05), and the residual total chlorine was found to exert pronounced inhibition on cyanobacteria compared to other algal forms. However, caution was advised regarding potential algal growth stimulation if the initial received total chlorine concentration in the urban lake receiving wastewater below 0.5 mg/L. These findings not only affirm the feasibility of this synergistic approach but also elucidate critical aspects for process optimization and control.

12606 Gamification In The Management Of Children And Adolescents With Diabetes: A Systematic Review

Abstract Disclosure: L.C. Hespanhol: None. V. Lins de Menezes: None. P. Souto Maia: None. C.A. Balieiro: None. W. Oliveira Amador: None. R. Lira: None. Background: Educating children and adolescents with diabetes about their own condition presents a significant challenge. Gamification has been proposed as an innovative approach to ease the transition to self-care by engaging and empowering children and adolescents in their diabetes management. Purpose: The purpose of this systematic review is to examine published research on using gamification and technology within diabetes care for young patients. Methods: PubMed, Lilacs and EMBASE were systematically searched in January 2024 to include articles focusing on the use of new virtual technologies to improve the clinical and laboratory conditions of children and adolescents with diabetes. The protocol was registered in PROSPERO (ID: CRD42024499381) adhering to PRISMA recommendations. We assessed the risk of bias using RoB-2 and ROBINS-I. Results: A total of 24 studies were included, of which 7 were randomized trials. Age of participants ranged from 5 to 19 years. We identified five gamification strategies (i.e., applications, video games, minigame, robot, or web game) within seven clinical domains (i.e., psychosocial impairment, glycemic control, autonomy, reduced frequency of error, health lifestyle, nutrition, or knowledge about disease). 246 (27%) patients demonstrated reduced emotional distress and increased enjoyment. Reduction of errors such as hypoglycemia and emergency preparedness was identified in 354 (39%) of patients and improvement in glycemic control measured by HbA1c was described in 277 (30%) of patients. Conclusion: Our systematic review gamification has shown promise in fostering autonomy by providing tools that educate young individuals regarding glycemic control, lifestyle choices, injection practices, carbohydrate counting, and other pertinent aspects of diabetes management. Presentation: 6/1/2024

Obstacle negotiation while dual-tasking in children with Developmental Coordination Disorder (DCD): An augmented-reality approach

BackgroundChildren with Developmental Coordination Disorder (DCD) exhibit deficits in predictive motor control, balance, and aspects of cognitive control, which are important for safely negotiating obstacles while walking. As concurrent performance of cognitive and motor tasks (dual-tasking) may exacerbate these deficits, we examined motor and cognitive dual-tasking differences between children with DCD and their typically developing (TD) peers during obstacle negotiation. Methods34 children aged 6–12 years (16 TD, 18 DCD) walked along a 12 m path, stepping over an obstacle (30 % or 50 % of leg length) at its mid-point. On dual-task trials, participants completed a simple or complex (cognitive) visual discrimination task presented via an augmented reality headset. Proportional dual-task costs (pDTCs) were measured on cognitive and gait outcomes over three phases: pre-obstacle, obstacle step-over, and post-obstacle. ResultsDuring the obstacle step-over phase, both groups increased their leading leg clearance when dual-tasking, while the DCD group had larger pDTC than TD for the high obstacle under simple stimulus conditions (viz simple-high combination). The complex cognitive task produced larger pDTCs than the simple one on leading leg clearance and post-obstacle gait variability. ConclusionsIn general, both DCD and TD groups showed similar pDTCs under complex conditions, while the specific deficit in DCD under the simple-high combination suggests a (default) compensatory strategy during step-over when attention is diverted to a secondary task. Competing cognitive and motor demands during obstacle negotiation present a potential safety risk for children.

Frequency-domain patterns in foot-force line-of-action: an emergent property of standing balance control.

A recent line of work suggests that the net behavior of the foot-ground interaction force provides insight into quiet-standing-balance dynamics and control. Through human subject experiments, Boehm et al. found that the relative variations of the center of pressure and force orientation emerge as a distinct pattern in the frequency domain, termed the "intersection-point height." Subsequent empirical and simulation-based studies showed that different control strategies are reflected in the distribution of intersection-point height across frequency. To facilitate understanding of the strengths and limitations of the intersection-point height in describing the dynamics and control of standing, the present work establishes a spectral-based method that also enables derivation of a closed-form estimate of the intersection-point height from any linear model of quiet stance. This new method explained observations from prior work, including how the measure captures aspects of control and physiological noise. The analysis presented herein highlights the utility of the frequency-dependent foot-force dynamics in probing the balance controller and provides a tool for model development and validation to further our understanding of the neuromotor control of natural upright posture in humans.

A systems theory-based safety assessment of pre-treatment patient-specific quality assurance for intensity-modulated treatments in a single-vendor environment

Background and purposeWhile patient-specific quality assurance (PSQA) has been integral to intensity-modulated treatments, its value is debated. A systems approach to safety is essential for understanding complex systems like radiation oncology but is often overlooked in PSQA research. This study aims to elucidate PSQA’s fundamental value and identify opportunities for enhancing safety in intensity-modulated treatments. Materials and MethodsFirst, causal scenarios that could lead to patient harm were identified using a prospective safety assessment technique developed for complex systems. Second, PSQA’s ability to mitigate these scenarios was evaluated using standard stability and control principles. The analysis also included safeguards related to PSQA, such as daily linac QA, equipment commissioning, and equipment design. ResultsTen causal scenarios were identified, highlighting well-known issues like flawed algorithms, data corruption, and hardware errors. Mitigation is achieved through advanced dose calculation and optimization algorithms, software and data integration, and preconfigured beam data, which improve decision-making and system state determination. Modern linac control systems enhance all aspects of system stability and control. Commissioning, daily linac QA, and PSQA are effective in enhancing the determination of system states only when feedback is non-overlapping and unambiguous. ConclusionGiven equipment improvement and related safeguards, the feedback generated from PSQA has diminished in value. To better complement other safeguards, PSQA should evolve to provide automated, unambiguous detection of any potential catastrophic treatment deviations prior to treatment. This evolution would allow physicists to focus on more critical aspects of patient care in radiation oncology.

B-115 Software Data Processing and Review LC-MS/MS Workflow Improvements for Clinical Research

Abstract Background In the field of quantitative LC-MS/MS, the need for efficient, accurate and user-friendly data review software is paramount, with the data generated in the clinical laboratory meeting local guidelines, as well as rigorous method performance characteristics defined by the FDA Bioanalytical Method Validation and CLSI C62-Ed2 guidelines. The quantitative LC-MS/MS workflow is dependent on interfacing to LMS/LIMS for sample traceability, batch analysis using matrix-matched external calibrators and quality controls for quantification and acceptance, and stable-isotope labeled internal standards to compensate for sample extraction, recovery, matrix effects and analytical variability. The demands on the laboratory to run multiplexed analyte panels and analyze a greater number of samples produces large amounts of analytical data which must still go through batch and quality review before release from the laboratory to the clinicians. The Waters Quan Review Software significantly reduces the burdensome aspects of batch quality control by introducing a series of innovative features. These include improvements in workflow, a modernized interface, and the ability to flag exceptions based on acceptance criteria. Methods Samples for three multiplexed LC-MS/MS panels with previously defined analytical method performance characteristics were acquired using Waters IVD Systems controlled by MassLynx software. The data was processed, quantified, and reviewed using both the existing TargetLynx XS IVD Application Manager and the new Quan Review Software. The three quantitative LC-MS/MS methods were the analysis of four immunosuppressants drugs in whole blood, a twelve steroid panel in plasma and a urine dilute and shoot method for a drugs of abuse panel containing greater than 80 analytes. Each method used matrix matched calibrators and QCs for quantification and batch control with performance characteristics including calibration linearity, carryover, precision and accuracy. Results The analytical performance data generated using the new MS Quan data review software met the same performance criteria as the TargetLynx XS data. For immunosuppressants, the % difference of the mean repeatability and total precision (%CV) for the individual analyte QCs processed using both software was within ±1.3% and ±4.4% respectively. The mean % bias of External Quality Assurance Samples (n=40) for each immunosuppressant processed using both software was within ±7.9%. The modernized, task-oriented accelerated workflows and focused review by exception reduced review time by up to 50%. Conclusions The new Quan Review Software generated results equivalent to the existing TargetLynx XS Application Manager. The software’s enhanced workflow capabilities streamlined the review process in a new user-friendly interface which reduced the training burden enabling scientists to generate high-quality data quickly and easily. The exception focused review functionality allowed tailored rule sets which reduced the time spent reviewing data by up to 50%. Whilst the batch-level review and task-oriented workflow improved batch acceptance and simplified the review of complicated datasets into easy tasks. By integrating these features, Data Review software offers a comprehensive solution that not only improves the efficiency and accuracy of batch quality control but also contributes to the overall reliability and integrity of quantitative LC-MS/MS analysis. For Research Use Only. Not for Use in Diagnostic Procedures.

Emulation tests of dynamics and control for a turbocharged SOFC system

This work regards experimental emulation activities for a Solid Oxide Fuel Cell (SOFC) pressurized by a turbocharger, focusing attention on the control system validation. The SOFC-based plant considered here was developed to couple high efficiency (due to pressurization) with reasonable capital costs. In detail, significant cost decrease (against SOFC hybrid plants including a microturbine) can be obtained with a turbocharger, due to large mass manufacturing process for these machines. Moreover, to pursue the zero emission target, the system was sized to operate with a renewable source fuel (biogas).Since this system has integration problems due to critical dynamic and control aspects, the University of Genoa designed and installed an experimental facility based on the coupling between a pressure vessel with a commercial turbocharger. The fuel cell is emulated equipping the vessel with a burner (to obtain the SOFC temperature range) and with inert ceramic material (to generate the same dynamic response).The tests presented in this work were obtained with this emulation rig operated in cyber-physical mode: the hardware interacted in real-time mode with previously validated software for components not physically included in the rig. The results demonstrated the system feasibility for load changes and validated the proposed control system, showing robustness and good prevention of critical conditions, such as SOFC thermal stress.

Resisting the spiral of silence: reflections on Thomas Mathiesen’s contributions to surveillance studies, social silencing and abolitionism

In late 2021, some six months after his death, the University of Oslo held a commemoration of the work of Professor Thomas Mathiesen. As this issue of Justice, Power and Resistance will attest, Mathiesen cut across definitions of theorist, scholar, pedagogue and archetypal academic activist. In this short intervention, I pay tribute to the influence Thomas’ work has had not only on my own, but on so many interventions around injustice and ever-expanding aspects of surveillant social controls which proliferate contemporarily. In doing so, this short article will highlight an overview of his most recognised work, before delving into a perspective that I consider to be more relevant than ever: Mathiesen’s conceptualisation of ‘silent silencing’ (Mathiesen, 2004). Overall, this contribution seeks to remind those new to studies of harm and social control of the value of critical work which came before us, and the need to engage, reflect and rebuild perspectives such as Mathiesen’s in ways which are meaningful to contemporary problems and optimal (abolitionist) solutions.

Leveraging large language models for comprehensive locomotion control in humanoid robots design

This paper investigates the utilization of large language models (LLMs) for the comprehensive control of humanoid robot locomotion. Traditional reinforcement learning (RL) approaches for robot locomotion are resource-intensive and rely heavily on manually designed reward functions. To address these challenges, we propose a method that employs LLMs as the primary designer to handle key aspects of locomotion control, such as trajectory planning, inverse kinematics solving, and reward function design. By using user-provided prompts, LLMs generate and optimize code, reducing the need for manual intervention. Our approach was validated through simulations in Unity, demonstrating that LLMs can achieve human-level performance in humanoid robot control. The results indicate that LLMs can simplify and enhance the development of advanced locomotion control systems for humanoid robots.

Integrating Petrophysical, Hydrofracture, and Historical Production Data with Self-Attention-Based Deep Learning for Shale Oil Production Prediction

Summary As the energy industry increasingly turns to unconventional shale reservoirs to meet global demands, the development of advanced predictive models for shale oil production has become imperative. The inherent complexity of shale formations, coupled with the intricacies of hydraulic fracturing, poses significant challenges to efficient resource extraction. Our study leverages a substantial data set from the Ordos Basin to develop an advanced predictive model, integrating 18 parameters that blend static petrophysical attributes and dynamic factors, including hydraulic fracturing parameters and real-time pump pressure data. This holistic approach enables our self-attention (SA) model to accurately forecast future production rates by processing the complex interplay between reservoir characteristics and operational inputs. In testing across three wells, the model achieved average accuracies of 99.28% for daily oil production (DOP) and 99.25% for daily liquid production (DLP) over 20 days, surpassing traditional long short-term memory (LSTM) and gated recurrent unit (GRU) models, proving its efficacy in fractured well production forecasting. Furthermore, using the initial 30 days of production data as input, the model demonstrated its capability to predict DOP and DLP over a one-year period, achieving prediction accuracies of 96.2% for DOP and 99.6% for DLP rates. Our model’s profound implications for the shale industry include establishing a quantifiable link between key factors and production forecasts, guiding the optimization of controllable aspects, and serving as a decision-support tool for more efficient and cost-effective oil recovery.

Enhancing Hematopoietic Stem Cell Transplantation Success: The Crucial Role of Architectural Design in Transplant Units and Hematology Departments

Aim: This paper aims to explore the critical role of architectural design in Hematopoietic Stem Cell Transplantation (HSCT) procedures, focusing on how various aspects of design influence patient outcomes, staff efficiency, infection control, and overall safety. The study seeks to understand how the physical environment impacts both the immediate and long-term recovery of patients undergoing HSCT and to advocate for design principles that enhance patient and caregiver experiences. Discussion: Hematopoietic Stem Cell Transplantation (HSCT) has emerged as a vital therapeutic modality for a diverse spectrum of hematological disorders and malignancies. As medical and technological advancements continue to evolve, the significance of the physical environment in which HSCT procedures are conducted becomes increasingly evident. This paper delves into how architectural design affects patient well-being, staff efficiency, and infection control, emphasizing the importance of creating environments that support psychological well-being. It examines the impact of design on infection prevention, safety during emergencies, and the overall efficiency of healthcare delivery. The discussion also highlights the role of sustainability and green design principles in minimizing the environmental footprint while promoting patient recovery. Conclusions: The paper concludes that architectural design plays a transformative role in enhancing patient experiences and healthcare outcomes in HSCT settings. It underscores the need for a patient-centric approach to design that integrates wellness-focused elements and advanced technology. The study advocates for a collaborative effort among healthcare institutions, architects, designers, and policymakers to create supportive, efficient, and sustainable healthcare environments. By prioritizing these design considerations, healthcare environments can significantly improve the HSCT journey and contribute to the broader realm of healthcare excellence.