bluuebunny/crossref_metadata_2025 huggingface dataset:
Symmetry Breaking of Three Self-Organization Rules: A General Theory for the Origin of Complexity
Authors: Wu Wen-Hao , Li Ze-Zheng , Wang Wen-Xu
Published: May 2024

Complex spatiotemporal patterns in nature significantly challenge reductionism-based modern science. The lack of a paradigm beyond reductionism hinders our understanding of the emergence of complexity. The diversity of countless patterns undermines any notion of universal mechanisms. Here, however, we show that breaking the symmetry of three simple and self-organization rules gives rise to nearly all patterns in nature, such as a wide variety of Turing patterns, fractals, spiral, target and plane waves, as well as chaotic patterns. The symmetry breaking is rooted in the basic physical quantities, such as positive and negative forces, space, time and bounds. Besides reproducing the hallmarks of complexity, we discover some novel phenomena, such as abrupt percolation of Turing patterns, phase transition between fractals and chaos, chaotic edge in traveling waves, etc. Our asymmetric self-organization theory established a simple and unified framework for the origin of complexity in all fields, and unveiled a deep relationship between the first principles of physics and the complex world.
The Evolution of the Phase Space Structure Along Pitchfork and Period-Doubling Bifurcations in a 3D-Galactic Bar Potential
Authors: Moges H. T. , Katsanikas M. , Patsis P. A. , Hillebrand M. , Skokos Ch.
Published: May 2024

We investigate how the phase space structure of a Three-Dimensional (3D) autonomous Hamiltonian system evolves across a series of successive Two-Dimensional (2D) and 3D pitchfork and period-doubling bifurcations, as the transition of the parent families of Periodic Orbits (POs) from stability to simple instability leads to the creation of new stable POs. Our research illustrates the consecutive alterations in the phase space structure near POs as the stability of the main family of POs changes. This process gives rise to new families of POs within the system, either maintaining the same or exhibiting higher multiplicity compared to their parent families. Tracking such a phase space transformation is challenging in a 3D system. By utilizing the color and rotation technique to visualize the Four-Dimensional (4D) Poincaré surfaces of section of the system, i.e. projecting them onto a 3D subspace and employing color to represent the fourth dimension, we can identify distinct structural patterns. Perturbations of parent and bifurcating stable POs result in the creation of tori characterized by a smooth color variation on their surface. Furthermore, perturbations of simple unstable parent POs beyond the bifurcation point, which lead to the birth of new stable families of POs, result in the formation of figure-8 structures of smooth color variations. These figure-8 formations surround well-shaped tori around the bifurcated stable POs, losing their well-defined forms for energies further away from the bifurcation point. We also observe that even slight perturbations of highly unstable POs create a cloud of mixed color points, which rapidly move away from the location of the PO. Our study introduces, for the first time, a systematic visualization of 4D surfaces of section within the vicinity of higher multiplicity POs. It elucidates how, in these cases, the coexistence of regular and chaotic orbits contributes to shaping the phase space landscape.
Dynamics of a New Delayed Glucose–Insulin Model with Obesity
Authors: Gao Chunyan , Chen Fangqi , Yu Pei
Published: May 2024

In this work, a new glucose–insulin model incorporating time delay and obesity is developed to gain insights of its dynamical mechanisms. Through the method of multiple scales, we theoretically demonstrate that time delay can drive the system to yield Hopf bifurcation, thereby producing oscillating solutions that are consistent with the simulation results. Moreover, obesity changes the level of glucose, but cannot induce oscillations. In particular, it is found that under the combined effect of obesity and time delay, obesity delays the appearance of Hopf bifurcation which is induced by time delay. Results show that a low calorie diet can achieve therapeutic effects including reducing blood glucose fluctuations and insulin resistance, which can be used as an adjuvant for the treatment of diabetes. In addition, our results indicate that the delay, together with an optimal rate of model parameters can cause a variety of dynamics and induce glucose oscillations. The result obtained in this paper may help to better understand the obesity, diabetes, and the interaction between glucose and insulin, so that control strategies can be designed to better regulate blood glucose levels and fluctuations and mitigate the occurrence of type-2 diabetes.
Phantom Attractors in a Single-Degree-of-Freedom Smooth System Under Additive Stochastic Excitation
Authors: Chen Shengli , Wu Zhiqiang
Published: May 2024

Phantom attractors in nonlinear systems under additive stochastic excitation have been recently discovered. This paper uncovers the existence of phantom attractors in a single-degree-of-freedom smooth nonlinear equation, which characterizes the vibration of an inextensible beam subjected to lateral stochastic excitation. It also elucidates that the stochastic averaging method, in this context, may lead to qualitatively erroneous probability density functions, identified as one of the reasons why these attractors were previously overlooked. The study then proceeds to analyze the formation process of the phantom attractor and the critical noise intensity associated with it. Subsequently, the key nonlinear term related to the emergence of phantom attractors is identified by observing whether the system still exhibits phantom attractors after the corresponding nonlinear terms are removed. It is revealed that in this system, the presence of phantom attractors is closely linked to the inertia nonlinearity of the hardening type. The system investigated in this paper is simpler compared to previously identified systems capable of generating phantom attractors. This simplicity aids in facilitating research focused on unraveling the general principles behind the formation of phantom attractors.
Dynamic Complexity of a Nicholson–Bailey Bioeconomic Model with Holling Type-II Functional Response
Authors: Yousef A. M. , Jang Sophia R.-J. , Elsadany A. A.
Published: May 2024

In this paper, we propose a host–parasitoid model with a Holling type-II functional response and incorporate harvest effort. The Holling type-II response leads to saturation in parasitized hosts, creating a potential economic harvesting opportunity. To address overexploitation risks, we integrate a harvest effort function, determining an optimal threshold to prevent depletion. We explore model dynamics and bifurcations, including co-dimension one behaviors such as flip and Neimark–Sacker bifurcations, we provide numerical examples for validation. Our suggested difference-algebraic model, compared to continuous-time models, exhibits rich dynamics within the Nicholson–Bailey host–parasitoid framework.
Bifurcation Analysis of a Holling–Tanner Model with Generalist Predator and Constant-Yield Harvesting
Authors: Wu Hongqiuxue , Li Zhong , He Mengxin
Published: May 2024

In this paper, we introduce constant-yield prey harvesting into the Holling–Tanner model with generalist predator. We prove that the unique positive equilibrium is a cusp of codimension 4. As the parameter values change, the system exhibits degenerate Bogdanov–Takens bifurcation of codimension 4. Using the resultant elimination method, we show that the positive equilibrium is a weak focus of order 2, and the system undergoes degenerate Hopf bifurcation of codimension 2 and has two limit cycles. By numerical simulations, we demonstrate that the system exhibits homoclinic bifurcation and saddle–node bifurcation of limit cycles as the parameters are varied. The main results show that constant-yield prey harvesting and generalist predator can lead to complex dynamic behavior of the model.
Minimum Congestion and Wirelength of Embedding the nth Cartesian Product of K4 into Various Kinds of Grid Networks
Authors: Li Pingping , Zhang Mingzu , Guo Litao
Published: May 2024

Embedding an interconnection network into another network is one of the main problems in parallel processing and computing systems. Interconnection networks in multiprocessing systems facilitate effective communication among various system components. Obtaining the minimum cutwidth, congestion, and wirelength in graph embedding problems is of great significance for network design and architecture, where the minimum is taken over all embedding of guest graphs into host graphs, and addressing these issues can reduce time and cost in embedded design. This work aims to accurately calculate the minimum congestion and wirelength for the [Formula: see text] (the [Formula: see text]th Cartesian product of [Formula: see text]) layout into [Formula: see text]-dimensional, [Formula: see text]-dimensional, and [Formula: see text]-dimensional grids by the optimal solution of edge isoperimetric problem on [Formula: see text].
Policy and Institutions for Environmental Sustainability and Green Growth: The Moderating Effect of Renewable Energy and CO2 Emissions
Authors: Khalfaoui Hamdi , Saada Moufida Ben , Guenichi Hassan
Published: May 2024

Reducing environmental degradation due to the waste of natural resources and increasing global warming have been the main sustainable development goals for preserving biodiversity and ensuring sustainable growth established by the United Nations since 2015. Elucidating these goals requires effective and efficient environmental policies, substantial financial resources, and technological innovation to ensure an energy transition and reduce fossil fuel divestment and polluting technologies. In this context, this paper aims to examine the impact of environmental sustainability policy and institutions on green economic growth. Using a CS-ARDL panel model for a sample of 69 low-income countries in Africa, Asia, Europe, and North America over the period 2005-2020, we find that the effect of environmental sustainability policy and institutions on green GDP per capita is positive and statistically significant. The intensity of this effect is moderated by increases in renewable energy consumption and decreases in CO2 emissions. Furthermore, the subsample analysis indicates that the relationships between environmental sustainability policy and institutions and green growth remain positive for the four continents. In the long run, the intensity of this effect is stronger in Europe and Asia than in America and Africa. Moreover, these impacts are more effective as renewable energy increases and CO2 emissions decrease. It seems to be more important in Europe and Asia than in America and Africa. Overall, low-income countries should pay particular attention to policy and institutional index for environmental sustainability to promote green growth, taking into account the moderating effect of renewable energy consumption and CO2 emissions reduction.
Body Height Estimation According to Deciduous Dental Crown Height in a Peruvian Sample of Preschool Children
Authors: Pimentel-Chalco Aldana Yanira , Carranza-Samanez Kilder Maynor , Dulanto-Vargas Julissa Amparo
Published: May 2024

Introduction. Odontometry and body height are distinctive biological traits, making their relationship relevant in the identification of individuals. The objective of this study was to estimate body height according to the height of the crown of deciduous teeth in Peruvian preschool children. Materials and Methods. This analytical study was applied to a calculated sample of 204 preschoolers between 3 and 5 years of age (34 per sex/age group) with fully erupted upper anterior deciduous teeth (from #53 to #63). Measurements included body height with a stadiometer (106 ± 6.56 cm; 94–123 cm) and crown height from canine to canine (3.06 mm in #62 to 8.13 mm in #53) in models with digital vernier (intraclass correlation coefficient ≥ 0.781). Linear regression models included calculation of the regression coefficient (β) to predict height based on crown height for each deciduous tooth at a significance level of P < 0.05. Results. There was no correlation between body height and crown height by tooth type in the total sample (P ≥ 0.05), but there was in a 3‐year‐old female in #52 (r = 0.4: moderate) and a 5‐year‐old female in #53 and #63 (r = 0.36–0.38: low) (P < 0.05). Body height prediction equations are shown according to crown height per tooth and sex/age groups. The regressions were significant, explaining 13%–18% of 3‐year‐old females in #53 and #52 (1.85–1.86 cm error) and 5‐year‐old females in #53, #51, and #63 (4.61 at 4.63 cm error) (P < 0.05). Conclusions. The odontology method using crown height of the upper anterior deciduous teeth estimated body height in Peruvian girls of 3 and 5 years of age. The teeth are resistant to traumatic forces so these could be used as a body height estimation parameter for forensic human identification.
The use of artificial intelligence in interrogations: voluntary confession
Authors: Wu Yi-Chang , Liu Yao-Cheng , Huang Ru-Yi
Published: May 2024

Interrogation is a crucial step in the investigation of criminal acts. Artificial intelligence has been used to increase the efficiency of interrogation. In this study, we developed a confession probability identification system to help investigators analyze the emotions of their interrogees while they are answering questions and determine the probability of them confessing. Based on these analysis results along with their own experience, investigators may adjust the content and direction of their interrogations to penetrate the interrogees’ defenses. The proposed system uses OpenFace and FaceReader to capture data and incorporates the multi-grained cascade forest (gcForest) and long short-term memory (LSTM) algorithms for deep learning. Our results indicated that the recognition accuracy of the gcForest algorithm exceeded that of the LSTM algorithm, which is consistent with the fact that the gcForest algorithm is more suitable for smaller sample sizes. In addition, heart-rate-based assessment may lead to erroneous determination of whether an interrogatee is telling the truth or lies because their heart rate may increase as a result of emotional responses.
Development of robot motion direction based on microcontroller with compass sensor
Authors: Seke Fransiskus Royke , Tamba Ibadja Parsaoran
Published: May 2024

This research brings innovation to the motion and navigation system of the ‘DK-ONE’ robot. In the 2021 Indonesian ‘Search and Rescue’ robot contest, the ‘DK-ONE’ robot faced difficulties moving towards the target room. The issue was attributed to an unbalanced frame construction and friction between the robot’s legs and the arena floor, leading to leg slippage. This resulted in a mismatch between the programmed number of steps for the robot and the desired path to the target space, causing errors in the robot’s system. To address these problems, researchers conducted a study aimed at enabling the ‘DK-ONE’ robot to accurately determine its direction of motion. This research followed the waterfall method, involving stages such as system analysis, design, coding, testing, and supporting phases. The study was carried out in the integrated laboratory of the Department of Electrical Engineering Education. The development of the robot’s motion direction using a compass sensor significantly improved stability while walking on straight, flat, and uneven paths. The robot no longer experienced errors in its motion direction and remained on the intended path. As a result, the increased efficiency in robot motion also positively impacted the structural efficiency and energy consumption of the robot.
Robot navigation on inclined terrain using social force model
Authors: Daffa Muhammad Fariz , Dewantara Bima Sena Bayu , Setiawardhana Setiawardhana
Published: May 2024

This research introduces an innovative approach to address the limitations of the commonly used social force model-based robot navigation method on flat terrain when applied to sloped terrain. The incline of the terrain becomes a crucial factor in calculating the robot’s steering output when navigating from the initial position to the target position while avoiding obstacles. Therefore, we propose a social forced model-based robot navigation system that can adapt to inclined terrain using inertial measurement unit sensor assistance. The system can detect the surface incline in real time and dynamically adjust friction and gravitational forces, ensuring the robot’s speed and heading direction are maintained. Simulation results conducted using CoppeliaSim show a significant improvement in speed adjustment efficiency. With this new navigation system, the robot can reach its destination in 59.935089 seconds, compared to the conventional social forced model which takes 63.506442 seconds, the robot is also able to reduce slip to reduce wasted movement. This method shows the potential of implementing a faster and more efficient navigation system in the context of inclined terrain.
Development of Arduino-based high heat detector temperature control prototype for household appliances
Authors: Casinillo Rhoda Mae L. , So Allecia Leona A. , Mandaya Maezel V. , Dabalos Sonny Adrian J. , Enriquez Mark Ceasar S. , Cane Jas Felicisimo
Published: May 2024

In the Philippines, fires are a widespread concern, with plenty of incidents attributed to electrical appliances. These incidents are a leading cause of non-open flame fires in the country, highlighting the urgent need for preventative measures. Existing devices could only trigger an alarm at 100 °C without shutting off the appliance automatically. To address these limitations, the researchers aimed to develop a high heat detector with 95% detection accuracy and less than 5% error in detecting high heat. This device used an Arduino Uno Board and relay to trigger an automated power-off mechanism in appliances experiencing high heat. Temperature changes were detected, and alarms were activated using an LM35 temperature sensor and buzzer. The accuracy of the LM35 sensor was assessed through hot bath tests, which included 12 trials at each temperature level between 80 °C and 150 °C with 10 °C intervals. The prototype’s performance revealed an average error rate of 1.13% and an average standard deviation of 0.9403. The computed F1 Score of 98% indicated that the prototype fulfilled the objectives. Functionality tests confirmed that the prototype successfully achieved its intended goal by shutting off the appliance when the threshold temperature was reached and enabling its operation otherwise.
Kinematic modelling of three link robot manipulator and joint torque optimization using genetic algorithm in MATLAB
Authors: Sahay Neeta , Chattopadhyay Subrata
Published: May 2024

This research article presents the non-linear dynamic of a three-link robotic manipulator formulated by the Newton-Euler method. The planar manipulator is composed of three links and three revolute joints rotating about the z-axis. The three nonlinear non-homogeneous dynamic equations have been solved graphically with the help of MATLAB by phase variable method. The work represents the graphical solution of the transient response of angular position, and angular velocity of each link member for a predetermined interval of time. With the help of simulated value from MATLAB, torque characteristics have been determined for different torque ratios and optimum torque has been derived using a genetic algorithm to move the manipulator in a proper direction.
Development of an unmanned ground vehicle for seed planting
Authors: Owoeye Samuel Oluyemi , Durodola Folasade , Bode-Okunade Abdulsalam Babajide , Alkali Ahmed Baba , Okonkwo Chibuike Timothy
Published: May 2024

As global population growth intensifies the demand for sustainable food production, the application of robotics to agriculture emerges as a promising solution. This research focuses on the design, development, and deployment of an unmanned ground vehicle for seed planting, also known as a robotic seed planter. The robotic seed planter automates seed planting processes, offering advantages such as increased accuracy, reduced labour requirements, and optimal resource usage. Parametric Technology Corporation (PTC) Creo was used for the structural design, Proteus 8.14 for the circuitry design, and Arduino IDE 2.0 with Visual Studio Code for the programming. The design incorporates seed metering and drilling mechanisms guided by intelligent systems. Results show exceptional accuracy in seed placement (94%), operational efficiency, and adaptability to diverse conditions, with energy consumption relatively low. The planter is equipped with a web application for remote monitoring and control. The application is hosted on one of the microcontrollers and WebSockets protocol is utilized for inter-microcontroller communication. It offers an auto mode for automated planting and Manual mode for easier manoeuvrability. The findings of this study demonstrate the robotic seed planter’s transformative impact on precision agriculture, providing a glimpse into the future of efficient and sustainable farming operations.
Combining optimization and dynamic movement primitives for planning energy optimal forestry crane motions
Authors: La Hera Pedro , Morales Daniel Ortíz , Mendoza-Trejo Omar
Published: May 2024

Forestry cranes are an important tool for safe and efficient timber harvesting with forestry machines. However, their complex manual control often led to inefficiencies and excessive energy usage, due to the many joysticks and buttons that must be used in a precise sequence to perform efficient movements. To address this, the industry is increasingly turning to partial automation, making manual control more intuitive for the operator and, consequently, achieving improvements in energy efficiency. This article introduces a novel approach to energy-optimal motion planning that can be used along with a feedback control system to automate crane motions, taking over portions of the operator’s work. Our method combines dynamic movement primitives (DMPs) and an energy-optimization algorithm. DMPs is a machine learning technique for motion planning based on human demonstrations, while the optimization algorithm exploits the crane’s redundancy to find energy-optimal trajectories. Simulation results show that DMPs can replicate human-like controlled motions with a 25% reduction in energy consumption. However, our energy optimization algorithm shows improvements of over 40%, providing substantial energy savings and a promising pathway towards environmentally friendly partially automated machines.
Nonlinear Kalman filter for gyroscopic and accelerometer noise rejection of an unmanned aerial vehicle control strategy
Authors: Arfa Wassim , Ben Jabeur Chiraz , Fathallah Mourad , Seddik Hassene
Published: May 2024

This study addresses timing issues inherent in traditional proportional-integral-derivative (PID) controllers for drone angle control and introduces an innovative solution, the adaptive PID flight controller, aimed at optimizing PID gains for improved performance in terms of speed, accuracy, and stability. To enhance the controller's robustness against noise and accurately estimate the system's state, a Kalman filter is incorporated. This filtering mechanism is designed to reject noise and provide precise state estimation, thereby contributing to the overall effectiveness of the adaptive PID flight controller in managing altitude dynamics for unmanned aerial vehicles (UAVs). The comparative methodology evaluates three configurations: a single PID controller for all three angles, two PID controllers dedicated to pitch/roll and yaw angles separately, and three PID sub-controllers for each angle (pitch, roll, and yaw). The study seeks to identify the most effective PID configuration in terms of stability, responsiveness, and accuracy while highlighting the added benefits of noise rejection and state estimation through the Kalman filter. This integrated approach showcases innovation and effectiveness, introducing a comprehensive solution not explored in previous research.
Distributed and autonomous multi-robot for task allocation and collaboration using a greedy algorithm and robot operating system platform
Authors: Tamali Abderrahmane , Amardjia Nourredine , Tamali Mohammed
Published: May 2024

Research investigations in the realm of micro-robotics often center around strategies addressing the multi-robot task allocation (MRTA) problem. Our contribution delves into the collaborative dynamics of micro-robots deployed in targeted hostile environments. Employing advanced algorithms, these robots play a crucial role in enhancing and streamlining operations within sensitive areas. We adopt a tailored GREEDY approach, strategically adjusting weight parameters in a multi-objective function that serves as a cost metric. The objective function, designed for optimization purposes, aggregates the cost functions of all agents involved. Our evaluation meticulously examines the MRTA efficiency for each micro-robot, considering dependencies on factors such as radio connectivity, available energy, and the absolute and relative availability of agents. The central focus is on validating the positive trend associated with an increasing number of agents constituting the cluster. Our methodology introduces a trio of micro-robots, unveiling a flexible strategy aimed at detecting individuals at risk in demanding environments. Each micro-robot within the cluster is equipped with logic that ensures compatibility and cooperation, enabling them to effectively execute assigned missions. The implementation of MRTA-based collaboration algorithms serves as an adaptive strategy, optimizing agents' mobility based on specific criteria related to the characteristics of the target site.
 
Bipedal robot center of pressure feedback simulation for center of mass learning
Authors: Mayub Afrizal , Fahmizal Fahmizal , Lazfihma Lazfihma
Published: May 2024

This research aims to create a walking bipedal robot with center of pressure feedback simulation for the center of mass learning, describe its feasibility for learning, describe students' motivation to learn, and describe students' science literacy after using it. The research method used ADDIE (analysis, design, development, implementation, and evaluation). The research data was obtained using a motivation scale questionnaire, science literacy scale, and feasibility scale. The research sample was 48 people; after the research obtained, the simulation of bipedal robot pressure center feedback for center of mass learning can be implemented with the principle of the robot's center of mass detected on the sole of the robot's foot equipped with a force sensitive resistor (FSR) sensor, the position of the center of mass is visible on the monitor screen as a center of mass learning, so that it can motivate students to learn and improve students' science literacy. This can be seen from the feasibility scale score, motivation scale, and science literacy scale of 4.133, 4.072, and 4.067 (scale 1 to 5), respectively, in the "good" category.
Design and development of a quadruped home surveillance robot
Authors: Owoeye Samuel Oluyemi , Durodola Folasade , Adeniyi Peace Oluwafeyidabira , Abdullahi Idris Tolulope , Hector Adesanya Boluwatito
Published: May 2024

Quadruped home surveillance robots represent a promising advancement in home security and automation. This innovative robotic system is equipped with four-legged locomotion, allowing it to traverse various terrains within a household environment. The robot's primary function is surveillance, and it is equipped with high-definition cameras, motion sensors, and object recognition software. These sensors enable the robot to detect intruders, track their movements, and capture real-time video footage for remote monitoring. The quadruped robot's compact and agile design allows it to navigate through narrow spaces and overcome obstacles, ensuring it can patrol every corner of a home effectively. Its autonomous operation is made possible through advanced artificial intelligence algorithms, ensuring that it can detect anomalies and respond to security threats promptly. Furthermore, integrating the robot with smart home systems enables seamless communication with other connected devices and allows homeowners to control and monitor it remotely.
Attention Spillovers from News to Ads: Evidence from an Eye-Tracking Experiment
Authors: Simonov Andrey , Valletti Tommaso , Veiga Andre
Published: May 2024

The authors investigate the impact of online news content on the effectiveness of display advertising. In a randomized online experiment, participants read news articles randomly paired with brand advertisements. Leveraging nonintrusive eye-tracking technology, the authors measure individual attention to both articles and ads. The authors then measure ad recall, and participants choose between cash and brand-specific vouchers. Heightened attention to articles results in “spillover” attention to ads on the same page, which, in turn, increases both brand recall and purchase probability. The authors also consider the effect of news content type, differentiating between “hard” and “soft” news. They find that advertising next to hard news is at least as effective as advertising next to soft news. This provides evidence against the blunt implementation of “block lists” for sensitive news topics by advertisers. The authors discuss the implications of attention spillovers for firms contemplating investments in engaging news content within the digital advertising landscape.
Investigation of the influence of walnut shell extract on chromium (VI) content in leather
Authors: Mirzamuratova Roza , Bayramoğlu Eser E , Abzalbekuly Bekzhan , Kaldybayev Rashid , Bektayev Kazybek
Published: May 2024

The effect of walnut shell extract ( Juglans regia) on chromium (VI) formation in leather during the finishing process is investigated in this study. The walnut shell extract composition was determined using gas chromatography. To enable chromium (VI) formation, finished leather samples were aged under various conditions, including exposure to ultraviolet light. The amount of chromium (VI) in each leather sample was measured using a Shimadzu UV-1601 PC UV-visible spectrophotometer at 540 nm based on the ISO/FDIS 17075 standard method. The results showed that the extracts from walnut shell ( Juglans regia) significantly reduced chromium (VI) formation in the leather under all aging conditions.
Kinetic modeling of the monoamine oxidase-B radioligand [18F]SMBT-1 in human brain with positron emission tomography
Authors: Lopresti Brian J , Stehouwer Jeffrey , Reese Alexandria C , Mason Neale S , Royse Sarah K , Narendran Rajesh , Laymon Charles M , Lopez Oscar L , Cohen Ann D , Mathis Chester A , Villemagne Victor L
Published: May 2024

This paper describes pharmacokinetic analyses of the monoamine-oxidase-B (MAO-B) radiotracer [18F]( S)-(2-methylpyrid-5-yl)-6-[(3-fluoro-2-hydroxy)propoxy]quinoline ([18F]SMBT-1) for positron emission tomography (PET) brain imaging. Brain MAO-B expression is widespread, predominantly within astrocytes. Reactive astrogliosis in response to neurodegenerative disease pathology is associated with MAO-B overexpression. Fourteen elderly subjects (8 control, 5 mild cognitive impairment, 1 Alzheimer’s disease) with amyloid ([11C]PiB) and tau ([18F]flortaucipir) imaging assessments underwent dynamic [18F]SMBT-1 PET imaging with arterial input function determination. [18F]SMBT-1 showed high brain uptake and a retention pattern consistent with the known MAO-B distribution. A two-tissue compartment (2TC) model where the K1/k2 ratio was fixed to a whole brain value best described [18F]SMBT-1 kinetics. The 2TC total volume of distribution (VT) was well identified and highly correlated (r2∼0.8) with post-mortem MAO-B indices. Cerebellar grey matter (CGM) showed the lowest mean VT of any region and is considered the optimal pseudo-reference region. Simplified analysis methods including reference tissue models, non-compartmental models, and standard uptake value ratios (SUVR) agreed with 2TC outcomes (r2 > 0.9) but with varying bias. We found the CGM-normalized 70–90 min SUVR to be highly correlated (r2 = 0.93) with the 2TC distribution volume ratio (DVR) with acceptable bias (∼10%), representing a practical alternative for [18F]SMBT-1 analyses.
Efficacy and safety of perioperative melatonin for postoperative delirium in patients undergoing surgery: a systematic review and meta-analysis
Authors: Shin Hye Won , Kwak Ji Su , Choi Yoon Ji , Kim Jae Woo , You Hae Sun , Shin Hyun Ju , Jang Yoo Kyung
Published: May 2024

Objective

To assess the efficacy and safety of perioperative melatonin and melatonin agonists in preventing postoperative delirium (POD).

Methods

We conducted a systematic search for randomized controlled trials (RCTs) published through December 2022. The primary outcome was efficacy based on the incidence of POD (POD-I). Secondary outcomes included efficacy and safety according to the length of hospital or intensive care unit stay, in-hospital mortality, and adverse events. Subgroup analyses of POD-I were based on the type and dose of drug (low- and high-dose melatonin, ramelteon), the postoperative period (early or late), and the type of surgery.

Results

In the analysis (16 RCTs, 1981 patients), POD-I was lower in the treatment group than in the control group (risk ratio [RR] = 0.57). POD-I was lower in the high-dose melatonin group than in the control group (RR = 0.41), whereas no benefit was observed in the low-dose melatonin and ramelteon groups. POD-I was lower in the melatonin group in the early postoperative period (RR = 0.35) and in patients undergoing cardiopulmonary surgery (RR = 0.54).

Conclusion

Perioperative melatonin or melatonin agonist treatment suppressed POD without severe adverse events, particularly at higher doses, during the early postoperative period, and after cardiopulmonary surgery.
Pelvic inflammatory disease
Authors: Hammon Dr Maryanne
Published: May 2024

Pelvic inflammatory disease (PID) is defined as infection-induced inflammation of the upper female genital tract. Infection is usually ascending from the lower genital tract and may involve any combination of endometritis, salpingitis, parametritis, tubo-ovarian abscess, and pelvic peritonitis. Young women under the age of 25 are more likely to develop PID, with most cases being caused by sexually transmitted infections such as Chlamydia trachomatis, Neisseria gonorrhoeae and Mycoplasma genitalium. Diagnosis is primarily clinical and can be difficult, with symptoms ranging from asymptomatic to serious illness, and may be non-specific. Early diagnosis and treatment can potentially prevent both short-term complications, including tubo-ovarian or pelvic abscess, and long-term complications, such as chronic pelvic pain, infertility and ectopic pregnancy. This article aims to discuss the clinical presentation, diagnosis and management using a clinical case scenario as an example within the primary care setting using the latest evidence available.
Mapping dynamic molecular changes in hippocampal subregions after traumatic brain injury through spatial proteomics
Authors: Maity Sudipa , Huang Yuanyu , Kilgore Mitchell D. , Thurmon Abbigail N. , Vaasjo Lee O. , Galazo Maria J. , Xu Xiaojiang , Cao Jing , Wang Xiaoying , Ning Bo , Liu Ning , Fan Jia
Published: May 2024

Background

Traumatic brain injury (TBI) often results in diverse molecular responses, challenging traditional proteomic studies that measure average changes at tissue levels and fail to capture the complexity and heterogeneity of the affected tissues. Spatial proteomics offers a solution by providing insights into sub-region-specific alterations within tissues. This study focuses on the hippocampal sub-regions, analyzing proteomic expression profiles in mice at the acute (1 day) and subacute (7 days) phases of post-TBI to understand subregion-specific vulnerabilities and long-term consequences.

Methods

Three mice brains were collected from each group, including Sham, 1-day post-TBI and 7-day post-TBI. Hippocampal subregions were extracted using Laser Microdissection (LMD) and subsequently analyzed by label-free quantitative proteomics.

Results

The spatial analysis reveals region-specific protein abundance changes, highlighting the elevation of FN1, LGALS3BP, HP, and MUG-1 in the stratum moleculare (SM), suggesting potential immune cell enrichment post-TBI. Notably, established markers of chronic traumatic encephalopathy, IGHM and B2M, exhibit specific upregulation in the dentate gyrus bottom (DG2) independent of direct mechanical injury. Metabolic pathway analysis identifies disturbances in glucose and lipid metabolism, coupled with activated cholesterol synthesis pathways enriched in SM at 7-Day post-TBI and subsequently in deeper DG1 and DG2 suggesting a role in neurogenesis and the onset of recovery. Coordinated activation of neuroglia and microtubule dynamics in DG2 suggest recovery mechanisms in less affected regions. Cluster analysis revealed spatial variations post-TBI, indicative of dysregulated neuronal plasticity and neurogenesis and further predisposition to neurological disorders. TBI-induced protein upregulation (MUG-1, PZP, GFAP, TJP, STAT-1, and CD44) across hippocampal sub-regions indicates shared molecular responses and links to neurological disorders. Spatial variations were demonstrated by proteins dysregulated in both or either of the time-points exclusively in each subregion (ELAVL2, CLIC1 in PL, CD44 and MUG-1 in SM, and SHOC2, LGALS3 in DG).

Conclusions

Utilizing advanced spatial proteomics techniques, the study unveils the dynamic molecular responses in distinct hippocampal subregions post-TBI. It uncovers region-specific vulnerabilities and dysregulated neuronal processes, and potential recovery-related pathways that contribute to our understanding of TBI’s neurological consequences and provides valuable insights for biomarker discovery and therapeutic targets.
Safety of single-use flexible ureteroscopy for dusting of upper urinary tract calculi in children
Authors: Samir Ahmed , EL Gamal Osama , El Gamal Samir , Nagla Salah
Published: May 2024

Background

Flexible ureteroscopy offers numerous advantages, such as increased reach, superior stone-free rate, reduced risk of bleeding, minimal surgical trauma, and faster recovery time. There are few studies discussing the effectiveness of single-use flexible ureteroscopy in children, and none so far have addressed its safety. This study aims to evaluate the effectiveness and safety of a single-use flexible ureteroscope for treating upper urinary tract stones in children.

Methods

This study included children with single upper urinary tract stones measuring less than 2 cm who underwent single-use flexible ureteroscopy between October 2020 and January 2023. We assessed the following patient characteristics: age, gender, stone type, size, position, pre and postoperative stent placements, use of a ureteral access sheath, stone-free rate, operation duration, and the rate of complications. A patient was considered stone-free if there were no residual stone particles larger than 3 mm after surgery.

Results

Flexible ureteroscopy and holmium laser lithotripsy were undertaken for 44 participants, with an average age of 8.5 years (range: 2–16 years). The typical stone size was 14 mm (range: 6–20 mm). The average operation time was 74 min (range 35–110 min). Ureteral access sheaths were used in 81.8% (36 out of 44) of procedures. After a single FURS session, 86.36% (38 out of 44) of patients achieved stone-free status. Postoperative JJ stent application was noted in 86.4% (38 out of 44) of patients. Complications were categorized using the Calvien system, revealing that 25% (11 out of 44) of patients experienced mild hematuria, colic, and low-grade fever (Calvien I). No severe side effects like mucosal avulsion or ureteral perforation were reported.

Conclusion

In the short-term, single-use flexible ureteroscopy is a safe and effective method for managing single renal and proximal ureteric stones, measuring 2 cm or less, in children.
The practice and determinants of ambulance service utilization in pre-hospital settings, Jimma City, Ethiopia
Authors: Adem Mohammed Ahmed , Tezera Zewdu Baye , Agegnehu Chilot Desta
Published: May 2024

Background

In pre-hospital setting, ambulance provides emergency care and means of transport to arrive at appropriate health centers are as vital as in-hospital care, especially, in developing countries. Accordingly, Ethiopia has made several efforts to improve accessibility of ambulances services in prehospital care system that improves the quality of basic emergency care. Yet, being a recent phenomenon in Ethiopia, empirical studies are inadequate with regard to the practice and determinants of ambulance service utilization in pre-hospital settings. Hence, this study aimed to assess the ambulance service utilization and its determinants among patients admitted to the Emergency Departments (EDs) within the context of pre-hospital care system in public hospitals of Jimma City.

Method

A cross-sectional study design was used to capture quantitative data in the study area from June to July 2022. A systematic sampling technique was used to select 451 participants. Interviewer-administered questionnaire was used to collect data. Data analysis was done using SPSS version 26.0; descriptive and logistic regressions were done, where statistical significance was determined at p < 0.05.

Results

Ambulance service was rendered to bring about 39.5% (of total sample, 451) patients to hospitals. The distribution of service by severity of illnesses was 48.7% among high, and 39.4% among moderately acute cases. The major determinants of ambulance service utilization were: service time (with AOR, 0.35, 95%CI, 0.2-0.6 for those admitted to ED in the morning, and AOR, 2.36, 95%CI, 1.3-4.4 for those at night); referral source (with AOR, 0.2, 95%CI, 0.1-0.4 among the self-referrals); mental status (with AOR, 1.9, 95%CI, 1-3.5 where change in the level of consciousness is observed); first responder (AOR, 6.3 95%CI, 1.5-26 where first responders were the police, and AOR, 3.4, 95%C1, 1.7-6.6 in case of bystanders); distance to hospital (with AOR,0.37, 95%CI, 0.2-0.7 among the patients within ≤15km radius); and prior experience in ambulance use (with AOR, 4.1,95%CI, 2.4-7).

Conclusion

Although the utilization of ambulance in pre-hospital settings was, generally, good in Jimma City; lower levels of service use among patients in more acute health conditions is problematic. Community-based emergency care should be enhanced to improve the knowledge and use of ambulance services.
High expression of SRSF1 facilitates osteosarcoma progression and unveils its potential mechanisms
Authors: Li Shuqi , Huang Xinyi , Zheng Shuang , Zhang Wenhui , Liu Fang , Cao Qinghua
Published: May 2024

Background

SRSF1, a member of Serine/Arginine-Rich Splicing Factors (SRSFs), has been observed to significantly influence cancer progression. However, the precise role of SRSF1 in osteosarcoma (OS) remains unclear. This study aims to investigate the functions of SRSF1 and its underlying mechanism in OS.

Methods

SRSF1 expression level in OS was evaluated on the TCGA dataset, TAGET-OS database. qRT-PCR and Western blotting were employed to assess SRSF1 expression in human OS cell lines as well as the interfered ectopic expression states. The effect of SRSF1 on cell migration, invasion, proliferation, and apoptosis of OS cells were measured by transwell assay and flow cytometry. RNA sequence and bioinformatic analyses were conducted to elucidate the targeted genes, relevant biological pathways, and alternative splicing (AS) events regulated by SRSF1.

Results

SRSF1 expression was consistently upregulated in both OS samples and OS cell lines. Diminishing SRSF1 resulted in reduced proliferation, migration, and invasion and increased apoptosis in OS cells while overexpressing SRSF1 led to enhanced growth, migration, invasion, and decreased apoptosis. Mechanistically, Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and Gene Set Enrichment Analysis (GSEA) revealed that the biological functions of SRSF1 were closely associated with the dysregulation of the protein targeting processes, location of the cytosolic ribosome, extracellular matrix (ECM), and proteinaceous extracellular matrix, along with the PI3K-AKT pathway, Wnt pathway, and HIPPO pathway. Transcriptome analysis identified AS events modulated by SRSF1, especially (Skipped Exon) SE events and (Mutually exclusive Exons) MXE events, revealing potential roles of targeted molecules in mRNA surveillance, RNA degradation, and RNA transport during OS development. qRT-PCR confirmed that SRSF1 knockdown resulted in the occurrence of alternative splicing of SRRM2, DMKN, and SCAT1 in OS.

Conclusions

Our results highlight the oncogenic role of high SRSF1 expression in promoting OS progression, and further explore the potential mechanisms of action. The significant involvement of SRSF1 in OS development suggests its potential utility as a therapeutic target in OS.
Simultaneous detection of dental caries and fissure sealant in intraoral photos by deep learning: a pilot study
Authors: Xiong Yanshan , Zhang Hongyuan , Zhou Shiyong , Lu Minhua , Huang Jiahui , Huang Qiangtai , Huang Bingsheng , Ding Jiangfeng
Published: May 2024

Background

Deep learning, as an artificial intelligence method has been proved to be powerful in analyzing images. The purpose of this study is to construct a deep learning-based model (ToothNet) for the simultaneous detection of dental caries and fissure sealants in intraoral photos.

Methods

A total of 1020 intraoral photos were collected from 762 volunteers. Teeth, caries and sealants were annotated by two endodontists using the LabelMe tool. ToothNet was developed by modifying the YOLOX framework for simultaneous detection of caries and fissure sealants. The area under curve (AUC) in the receiver operating characteristic curve (ROC) and free-response ROC (FROC) curves were used to evaluate model performance in the following aspects: (i) classification accuracy of detecting dental caries and fissure sealants from a photograph (image-level); and (ii) localization accuracy of the locations of predicted dental caries and fissure sealants (tooth-level). The performance of ToothNet and dentist with 1year of experience (1-year dentist) were compared at tooth-level and image-level using Wilcoxon test and DeLong test.

Results

At the image level, ToothNet achieved an AUC of 0.925 (95% CI, 0.880–0.958) for caries detection and 0.902 (95% CI, 0.853–0.940) for sealant detection. At the tooth level, with a confidence threshold of 0.5, the sensitivity, precision, and F1-score for caries detection were 0.807, 0.814, and 0.810, respectively. For fissure sealant detection, the values were 0.714, 0.750, and 0.731. Compared with ToothNet, the 1-year dentist had a lower F1 value (0.599, p < 0.0001) and AUC (0.749, p < 0.0001) in caries detection, and a lower F1 value (0.727, p = 0.023) and similar AUC (0.829, p = 0.154) in sealant detection.

Conclusions

The proposed deep learning model achieved multi-task simultaneous detection in intraoral photos and showed good performance in the detection of dental caries and fissure sealants. Compared with 1-year dentist, the model has advantages in caries detection and is equivalent in fissure sealants detection.