bluuebunny/crossref_metadata_2025 huggingface dataset:
Tsunami debris analysis to support blue economy development in Tasikmalaya, West Java
Authors: Widiyanto Wahyu , Purnomo Sanidhya N. , Shalsabila Shelbia A. , Gunawan Sri
Published: December 2023

In many coastal and marine environments, the blue economy is being developed to enhance community welfare. The possibility of a tsunami disaster, which could destroy the infrastructure supporting the blue economy, is one of the development challenges. The Sindangkerta beach and the Pamayang harbor in Tasikmalaya, West Java, Indonesia, are the two locations where this study discusses the possibility of tsunami debris occurring. Infrastructure that supports life may be threatened by tsunami debris. To ascertain the origin of the debris, a field survey was used in the study. When a tsunami is approaching, beachfront houses and fishing boats are easily swept towards land. The number and mass of houses and boats are counted. In order to calculate the magnitude of the tsunami impact force, the material stiffness of the two types of objects was also examined. The potential tsunami debris's runup and rundown directions are also estimated. The study's findings show that houses that serve as restaurants and shops for tourists predominate at the Sindangkerta tourist destination while fishing boats serve as the primary source of debris at the Pamayang fishing port. In addition, the debris dispersal area due to run-up and run-down is also depicted.
Effect of Pin Profile Tool on Friction Stir Welding Alumunium
Authors: Darsono Febri budi , Koin Sudibtia Titio , Kriswanto  , Thomas Alvreando Kaleb , Widodo Rahmat Doni , Rusiyanto
Published: December 2023

This purpose of this study was to determine the effect of the pin profile tool on the results of friction stir welding aluminum. When compared to conventional welding, friction stir welding uses less energy, is non-consumable, and does not produce dangerous gas emissions, so the process becomes environmentally friendly. The variation of the tool with two profile pins, namely the straight thread pin tool (STPT) with a hardness number of 55 HRC and the tapered pin tool (TPT) with a hardness number of 54 HRC. The parameters used in both tools are 1125 rpm, a tilt angle of 20, and a 30 mm/min welding speed. The material used is Aluminum 1060, which has a size of 50x120x5 mm on one side. The friction stir welding test uses a visual, a radiography, and a macrostructure test. The results showed that the influence of the pin profile on the aluminum welding results with the tapered pin tool (TPT) has a defect in the form of a lack of fusion, so if it refers to PN-EN ISO 25239-5, then it is not permitted. In the straight thread pin tool (STPT) type, there are only imperfections in the form of a flash. The flash in the root area is due to the pin profile and welding speed, which disrupts the weld deposition flow. When viewed from the macrostructure results, there are no defects. Better results are obtained with the straight thread pin tool (STPT).
CAE Design of Maca Impurity Separator machine for Improving the Dehydration Process
Authors: Frank Meza-Cardenas Alex , Richard Lazo-Selguera Jarol , Luis Salinas-Blancas Jose , Michael Beraun-Espiritu Manuel , Victor Morales-Santivanez Wilfredo , Andre Beraun-Arroyo Ethan
Published: December 2023

Over the years, there has been a massive expansion of maca crops in the province of Junín, causing a shortage of skilled labour, which has led to an increase in cost and time in the dehydration process in the production of maca. This is how the main problem arises: How do I design and manufacture a machine to separate impurities from maca to improve the dehydration process? The project is based on the design and manufacture of a device that helps to reduce the time spent in the cleaning area in the dehydration process, as this is where the most time is spent and in turn, generates more costs for skilled labour. It should be noted that this process is carried out manually by two people using mesh sacks, taking an average of 4 minutes per 10 kg of maca. This machinery consists of a metal structure that supports the baskets, whose function is to clean the impurities brought by the maca, which in turn will be driven by an internal combustion engine, regulated by a gearbox. After the analysis and tests carried out on the machine, it was found that the cleaning time of the maca is 34 kg per minute, which is 80% more efficient than the manual process, which takes longer and generates high costs.
Potential Evaluation of Power-to-Gas system by using Wind Turbine and PEM
Authors: Mizobe Koki , Chairunnisa  , Thu Kyaw , Miyazaki Takahiko
Published: December 2023

The Power-to-Gas (PTG) is one of the progressing technologies that enables the conversion of electrical energy into hydrogen or methane gas. This study focuses on the comprehensive analysis of energy efficiency, exergy efficiency, and exergy destruction rate within the PTG overall system. The investigation covers the evaluation of the wind turbine for power generation, the proton exchange membrane (PEM) employed in hydrogen production, and the methanation unit dedicated to methane production. The analysis examines the overall system as well as each individual component. By quantifying the energy and exergy efficiencies, this study provides potential improvements for maximizing the PTG system's overall effectiveness. The outcomes of this study contribute to the advancement and deployment of PTG technologies, thereby facilitating the integration of renewable energy sources and promoting sustainable energy solutions.
Research Gap Finding in Shielded Metal Arc Welding of Steel
Authors: Ary Dian , Muhayat Nurul , Triyono
Published: December 2023

Shielded Metal Arc Welding (SMAW) is a commonly employed method for joining steel in general industrial applications, encompassing both similar metals (SMW) and dissimilar metals (DMW) welding, primarily due to economic considerations. However, the welding process itself can lead to a reduction in joint strength. In order to identify the parameters and testing methods that can be developed, it is possible to gather and statistically analyze previous research studies. Through the data analysis of parameter types and testing in both SM and DM welding, significant research gaps can be identified, paving the way for further research and exploration in this field. This has consequently spurred the advancement of welding research, which focuses on exploring various parameters and conducting tests to achieve high-quality welds.
Design of a Semi-Automatic Hydraulic Extruder Machine for the Manufacture of Pastry Bricks Using VDI 2221
Authors: Luis Nieto-Yali Cristhian , Alberto Ceras-Eguavil Rodolfo , Kevin Albornoz-Zevallos Amarildo , Michael Manuel , Beraún Espíritu , Alberto Coaquira-Rojo Carlos , Turpo-Ccoa Samuel
Published: December 2023

The main objective of this research work is to design a semi-automatic hydraulic extruder machine to produce pastry bricks for Bricks Imperio. The aim is to achieve a production rate of 700 bricks per hour at a maximum cost of 12,000 dollars. For this purpose, an interpretative theoretical framework of similar products is carried out, and simulation software is used to test the theoretical concepts in real-world conditions. Following the methodology recommended by the German Engineering Association VDI 2221, a detailed list of requirements is drawn up, existing technology is analyzed, and mechanical, electrical, and hydraulic functions are designed. The design is verified with CAD software, and a technoeconomic analysis is carried out. As a result, the successful design of the semi-automatic hydraulic extruder machine for the manufacture of pastry bricks is achieved, with a cost of 11,992.00 dollars and a production capacity of 700 bricks per hour.
The Using of Thermal Energy Storage on Single Slope Solar Still Distiller
Authors: Hamzah Fakhrul Arifin Abi , Dwi Septiyanto Muhamad , Prasetya Budiana Eko , Prasetyo Ari , Hadi Syamsul
Published: December 2023

Single slope solar still (S4) was the traditional distiller that used solar energy as the primary energy source. The solar energy entering the desalination system is generally large during evaporation. However, productivity tends to lower due to the energy losses that occur during the production period. This research aims to S4 testing with the addition of thermal energy storage (TES) inside the basin. This additional absorber heat could maintain the heat absorption during the production day period. The additional TES is used with the hollow circular fin shaped with the enhanced soybean wax as the phase change material. The study was conducted experimentally from 07.00 to 21.00 GMT +7 by comparing the performance of conventional S4 with additional TEM. The results show that the addition of the TES device influences the S4 performances. Based on the result, the additional TES enhanced the gained performance S4, which was 220 mL and 8.22% higher than conventional S4.
Diagnosis of Induction Motor Faults Based On Current and Vibration Signals Using Support Vector Machine Model
Authors: Djoko Susilo Didik , Azharuddin Asyrofi Muhammad , Rio Prabowo Aditya
Published: December 2023

Early fault diagnosis of the induction motor can prevent sudden failure of the motor, which implies loss of production and sometimes brings safety problems. The purpose of this paper is to explore a method for induction motor fault diagnosis using a support vector machine model. The raw current and vibration signals are pre-processed using variational mode decomposition to eliminate the noise. Eight features in the time domain are extracted from the signals. These features are then evaluated using principal component analysis to reduce their dimension. Two principal components that cover 95% of the variance of the data are used as predictors in the SVM model. SVM models with different types of kernels are evaluated for their performance. The results show that the current signals give better accuracy in diagnosing induction motor faults than the vibration signals. The current signals perform very well at all speeds and in all types of kernels. Their accuracy is 100% for training and testing data. Meanwhile, the accuracy of the vibration signal in diagnosing the motor faults is good at speeds of 749 rpm, and the diagnosis accuracy decreases at speeds of 1499 rpm.
RFM-AR Model for Customer Segmentation using K-Means Algorithm
Authors: Khumaidi Ali , Wahyono Herry , Darmawan Risanto , Kartika Harry Dwiyana , Chusna Nuke L. , Fauzy Muhammad Kaisar
Published: December 2023

Competition in the business field is getting tougher, business people are required to carry out various strategies and innovations in order to compete with their competitors. Business actors are not only focus on transaction convenience and product centric strategies, but also need to carry out customer centric strategies. Segmentation is part of a customer centric strategy by knowing the characteristics of customers with similarities. In conducting customer segmentation, previous studies mostly used RFM (Recency, Frequency, Monetary) and clustering methods. This research will add AR (Age, Return) to the model, so the method used in this research is CRISP-DM (Cross Industry Process for Data Mining) with a combination of RFM-AR model and K-Means clustering. The result of this research is a data clustering modeling with 3 types of customer clusters with different characteristics. Determination of the best number of clusters with the elbow method can produce the same number of K clusters on different amounts of data. The optimal K value for each RFM-AR variable is K=2. Clustering is divided into 3 grades are high, middle and low.
Development of a blood supply chain network design model by considering lateral transshipment and blood substitution
Authors: Setyorini Dewi Fajar , Rosyidi Cucuk Nur , Laksono Pringgo Widyo
Published: December 2023

blood supply chain network design is an approach to design an efficient blood supply chain network. This study developed a model for determining the best Blood Supply Chain Network Design solution that considering costs and social sustainability. The developed model was divided into four echelons: blood donation centers, blood banks, regional hospitals, and demand points. The objective of this research was to minimize total supply chain costs while maximize job opportunities. This study considered the concept of lateral transshipment and blood substitution at the third echelon, namely the regional hospital, to ensure that demand was met. The concept of lateral transshipment enabled regional hospitals that having excess of blood unit to satisfy blood supplies to other regional hospitals. Furthermore, blood substitution was a response to emergency conditions, specifically a shortage of appropriate blood product units. Blood substitution scheme is allowed in this research, that is, each type of blood product with a certain group can not only meet its own demand, but can also be used as a replacement for the same product with other compatible groups. a multi-objective possibilistic mixed integer linear programming model was developed. According to the obtained results, the optimal number of facilities to satisfy the uncertain demand, blood flow between supply chain echelons, network cost, and the number of jobs created can be discovered by the model.
Development of Scheduling of Operating Rooms and Allocation of Inpatient Rooms Model by Considering Patient Preferences on Surgeon and Inpatient Room Classes
Authors: Valentina Sitanggang Febryanti , Nur Rosyidi Cucuk , Widyo Laksono Pringgo
Published: December 2023

Patient satisfaction on the services provided hospital indicates that hospital quality is improving. Surgery services and inpatient room services are two hospital health services that describe the hospital’s quality. This study proposed the development of an operating room scheduling model and inpatient room allocation based on the patient’s preference for surgeons and inpatient classes. Operating room scheduling and inpatient room allocation were optimized using Mixed Integer Linear Programming (MILP) and LINGO 18.0 software. The findings showed that the proposed model and algorithm could provide a feasible solution for minimizing hospital operating costs and maximizing patient preference. In order to obtain a satisfactory scheme for patients and hospitals, it was proposed to consider patient preferences in operating scheduling and inpatient room allocation
Inventory Model for Single Manufacturer - Two Competing Retailers with Carbon Tax and Product Selling Price
Authors: Paleta Jessica , Ahmad Jauhari Wakhid , Widyo Laksono Pringgo
Published: December 2023

This paper discusses how a manufacturer and two competing retailers interact to develop an inventory model considering a carbon tax, green investment, and product selling price under stochastic demand to maximize the profitability of the supply chain. It is assumed that the manufacturer replenishes all the retailers at the same time and period. Since there are two competing retailers, the product selling price at each retailer impacts not only its demand but also the other retailer’s demand. This paper also considers the implementation of green technology since there is a carbon tax for activities that produce carbon emissions such as production, transportation, and holding activities in the supply chain. The validity of the inventory model will be tested through sensitivity analysis and numerical examples.
Design of a High-Voltage Pulse Generator in a Pulsed Electric Field for the Pasteurization Process of Randu Honey
Authors: Herdiman Lobes , Susmartini Susy , Rochman Taufiq , Setyanto Hari , Bani Bayu Aji Daniel
Published: December 2023

Realized a high-voltage pulse generator (HVPG) in a pulsed electric field (PEF). The honey pasteurization process with a PEF uses short electrical pulses to honey nectar through electrodes directed at a stirring rod, which deactivates spores and fungi. The PEF is a non-thermal technology for honey preservation. PEF is applied for vessels with a capacity of 80 liters to support micro, small, and medium enterprises; they have yet to make it so far. This study aimed to produce an HVPG design in randu honey preservation by controlling treatment time and specific input energy requirements. The modulation uses pulse width modulation (PWM) on a 50% duty cycle microcontroller. The first pasteurization was through a heating process for 60 minutes, followed by testing the effectiveness of PEF by adjusting the suitability of the processing time for 60 minutes. Measurement of the treatment time after the pasteurization process shows that the average voltage and current used are 25kV~40kV and 0.3A. The electric field strength sent to the stir bar is 0.33kV/cm. During the pasteurization process of randu honey, the temperature setting is gradually increased to 70°C, with the heating process for 60 minutes, and the process stops. The honey process continues to apply PEF for the temperature decreases to 24°C in the honey liquid. This aims to deactivate the spores and herbs without causing loss of the sensory and physical properties of the honey liquid.
Particulate Matter Phytoremediation Effectiveness of Japanese Prunus × Yedoensis Tree Through Spring and Summer Season
Authors: Hammad Duha , Thu Kyaw , Miyazaki Takahiko
Published: December 2023

Using green biofilters can help eliminate air pollutants and improve urban air quality. In the current study, Prunus × Yedoensis capacity of phytoremediation was investigated as a bio filter of Particulate matter (PM) in spring and summer seasons in Japan. Two samples were analysed to extract three fractions of PM (coarse, fine and ultra-fine). Results showed lower deposition of PM in spring season with total of 20.2 μg.cm-2 and high proportion for fine fraction (2.5-10μm), comparing with summer season which showed a higher deposition of PM with total of 31.9 μg.cm-2. Ultra-fine fraction (0.2–2.5μm) recorded the highest values with a percentage of 23.9% of the total PM deposition. Leaf micromorphological characteristics such as, rough surface and serrated margin can enhance the Prunus × Yedoensis ability of particulate matter accretion. This study confirms that vegetation has an efficient role in improving the quality of urban air. Further structural analysis should be included to deepen the understanding of phytoremediation phenomena in plants.
Design of Ram Net Modification to Reduce Process Time in the Use of Hair Dryer Machine in PT ABC
Authors: Syaputra Grage , Setyanto Hari , Rochman Taufiq
Published: December 2023

PT ABC is one of the companies engaged in services, especially garment washing and coloring services. One of the machines used in the production process in garment coloring services is a hair dryer machine. This hair dryer machine is part of a drying machine, where this machine is used by many operators from various departments so that it often experiences bottlenecks. Congestion or queues that occur apart from the operator queue, there is also a queue of drying objects. This is because the drying process using a hair dryer machine is done using 2 hands, while 1 operator can carry 2 to 6 drying objects. The high drying frequency not only causes bottlenecks, but also often causes the hair dryer to overheat. Overheat that occurs starts from weak blowing, heat that is not maximized, until the machine suddenly shuts down. To overcome this problem, a solution is sought, both in the design of tools and additional drying methods. Various existing solutions will be selected using the PUGH method to get the best solution. The selected solution will be tested for feasibility using the investment feasibility test to determine whether the selected solution is feasible to be realized.
Set Cover Model with Path-Segment Concept to Determine the Optimum Rest Areas on Toll Road as the Location of Electric Vehicle Battery Charging Stations
Authors: Wayan Suletra I. , Nur Rosyidi Cucuk , Ahmad Jauhari Wakhid
Published: December 2023

The rapid adoption of electric vehicles (EVs), especially battery-based electric vehicles (BEVs), requires battery recharging facilities. Battery charging station (BCS) is an important component in EVs ecosystem. EVs requires BCS infrastructure for battery recharging. Limited battery range in one full charge is a concern for EVs users which is often called range anxiety so the number and placement of BCS must be adequate to prevent EVs from running out of battery in the middle of the trip. This study uses the real data of Trans Java toll road network, specifically the Semarang-Ngawi section for running numerical experiment to test the performance of the proposed model. Rest areas on toll roads are considered as candidate points for BCS locations. The proposed model is a set cover model formulated into binary integer programming. The Simplex algorithm in Microsoft Excel Solver is used to find the optimum solution on numerical experiment. Four locations are found as the optimum locations of BCS, i.e rest area r3, r6, r9, and rest area r12. The novelty of this study is combining the path-based approach with node-based approach to get a more compact set cover model.
Project Management Leadership Assessment: A Review to Propose a Framework
Authors: Susanto Danar Agus , Suef Mokhamad , Karningsih Putu Dana , Prasetya Bambang
Published: December 2023

Project stakeholders are always trying to make the project a success, so the factors that influence the project's success become a growing concern and should be appropriately managed. Although various factors influence the success of a project, the project manager, as a leader in organizing, directing, and managing all types of project activities, plays a significant role. This study aims to develop a framework for assessing project management leadership as a factor in project success. The method used in this research is an in-depth literature review. Indicators of leadership factors in the success of project management have been identified, consisting of four main categories: competence of behavioural, intellectual and technical, managerial, and quality of leadership style, with 24 subcategory variables complementing the four main variables. A framework for leadership success factors in project management has been proposed, including ways of assessing, gap analysis, and interpretation of results.
Implementation of Machine Learning for Text Classification Using the Naive Bayes Algorithm in Academic Information Systems at Sebelas Maret University Indonesia
Authors: Haris Humaidi Muhammad , Sutrisno  , Widyo Laksono Pringgo
Published: December 2023

This study implements machine learning using the Naive Bayes algorithm to create a text classification in an engineering professional program information system. The methods used include text data collection, preprocessing, feature extraction, Naive Bayes model training, and evaluation using data testing. This study made a classification model to predict text categories with a test accuracy rate of 0.975 and a training accuracy of 0.967. This research contributes to the development of text classification in information systems and can be used as a basis for further study.
Combination of Convolutional Neural Network and AdaBoost for Breast Cancer Diagnosis
Authors: Suparmaji Adam , Wahyono dan
Published: December 2023

Breast cancer is a cancer that develops from breast tissue. Early symptoms of breast cancer include the existence of a lump in the breast, a change in breast shape, or dimpling on the skin. This research explores the potential of ensemble learning, with a focus on the AdaBoost algorithm, to enhance the performance of Convolutional Neural Networks (CNN) in image classification tasks, particularly with breast cancer image datasets. The architectures in focus were VGG-16, ResNet50, and Inception V4, three prevalent CNN models with proven efficiency in image recognition tasks. Coupling these CNN models with AdaBoost led to notable performance improvements in individual tests. The study further pushed the envelope by constructing an ensemble model that combined all three CNN models. This ensemble, with AdaBoost, demonstrated impressive performance across various datasets. With precision and recall scores exceeding 0.94, an F1-Score of 0.96, and an overall accuracy of 0.95 to 0.99. The significant performance boost can be attributed to the richer feature space generated by the ensemble of multiple CNN models and the iterative refinement of predictions provided by the AdaBoost algorithm. Despite the ensemble model's complexity and increased computational demand, the results provide a compelling justification for its use. Further research could delve into optimizing such ensemble models, exploring other ensemble strategies, or testing the models on diverse datasets and tasks beyond image classification.
Food Image Detection System and Calorie Content Estimation Using Yolo to Control Calorie Intake in the Body
Authors: Romadhon Fitroh , Rahutomo Faisal , Hariyono Joko , Sutrisno  , Eko Sulistyo Meiyanto , Hamka Ibrahim Muhammad , Pramono Subuh
Published: December 2023

Excess calories in the body can cause obesity and several degenerative diseases, such as diabetes mellitus, heart disease, stroke, hypertension, and others. This system helps people maintain a balanced calorie content that enters the body. The research designs this system using the YOLO algorithm model to detect the type of food which is then developed using the Python programming language to estimate the calories of the detected food. YOLO uses the principle of feature extraction in images that are processed through filters as arrays to perform detection. This system calculates the food calories estimation by multiplying the calories for each food by the amount according to the type of food detected. The calorie value of the food provided is based on the number of calories for each portion of food taken from FatSecret Indonesia. The result is that food detection performance is quite good with average precision, recall, and F1-score values of 0.94, 0.90, and 0.91 respectively, when testing the model. However, when tested on Hugging Face, the performance decreased with the average values of precision, recall, and F1-score respectively, namely 0.84, 0.32, and 0.41. This decrease in performance is because of poor CPU usage and a decrease in image quality when uploaded to the Hugging Face.
Web-Based Health Service Management Information System Development With The Linear Sequential Model Method
Authors: Sulistyo Meiyanto Eko , Sutrisno Sutrisno , Widyaningrum Stefani , Rahutomo Faisal , Ramelan Agus , Ibrahim Muhammad Hamka , Pramono Subuh , Saputro Joko Slamet , Hariyono Joko
Published: December 2023

The clinic has several health facilities such as outpatient, inpatient, dental clinic, laboratory, family planning/MCH, pharmacy, and pharmacy. However, at the clinic, administrative processes are still carried out manually and are not computerized properly, making it difficult for staff because the process of storing and integrating data has not been carried out effectively and efficiently. Therefore we need a systematic and automatic information system to assist the administrative and managerial processes of the clinic. The information system developed in this study is based on a web application using the Laravel 8 framework. The method used for system development is the linear sequential model commonly known as the classic life cycle or waterfall development model. The system that has been made is tested using the black box texting method combined with the UAT (User Acceptance Testing) method to find out whether the system meets functional requirements and is by the design. Based on testing using the UAT method, the average value of 6 different indicators is 91%. Therefore it can be concluded that the web-based information system for this clinic has an easy-to-understand way of working and attractive features so that it can provide convenience in the patient treatment process and clinical managerial processes.
Success Factors of Electric Vehicle Commercialization: A Literature Review
Authors: Two Fiky , Gunarta Ketut , Dana Putu
Published: December 2023

The sales growth of motorcycles in Indonesia is increasing. It has reached 120 million units in 2022. It shows that the automotive industry in Indonesia has very high economic potential. However, the increasing number of vehicles can cause new problems related to the environment. Most motorized vehicles in Indonesia use non-renewable energy, such as fossil fuels. Since fossil fuels have a negative impact on the environment, electric-powered vehicles are introduced. Local Indonesian manufacturers have had electric motorbikes since 2018. However, the number of sales of electric motorbikes in Indonesia is still far from the target set by the Government. One obstacle in achieving electric motorcycles' sales target is readiness for product commercialization. Multiple factors influence the success of product commercialization. Indonesia's ability to manufacture and sell products of interest to the public plays an essential role in the success of the commercialization of electric motorbikes. The right commercialization strategy can encourage local electric motorcycle manufacturers to compete with non-local producers. Therefore, this study aims to explore future research opportunities related to success factors and obstacles to the commercialization of electric motorcycles. The survey results show that fuel cells, batteries, energy storage systems, charging infrastructure, durability, cost, and innovation are often discussed in previous studies related to commercialization.
Thermoneutralité chez la souris et expérimentation animale
Authors: Batrow Pierre-Louis , Mothe-Satney Isabelle , Amri Ez-Zoubir
Published: December 2023

Les modèles animaux demeurent une nécessité pour l’étude des maladies humaines. Le modèle le plus utilisé, la souris, est, comme les êtres humains, un mammifère endotherme maintenu à des températures ambiantes (22 °C). Son métabolisme énergétique est donc suractivé, une situation rarement observée chez les êtres humains grâce à diverses adaptations (vêtements, chauffage, etc.). La zone de thermoneutralité est définie comme une plage de températures ambiantes qui permet à un organisme de réguler sa température corporelle sans recourir à des processus de thermorégulation supplémentaires. Il existe de nombreux exemples de résultats divergents entre des études menées à 22 °C et celles réalisées à 30 °C (thermoneutralité chez la souris). Il semble donc essentiel de prendre en compte la température d’hébergement tant pour le bien-être animal que pour la pertinence des résultats des expériences réalisées.
Traitement topique de la dégénérescence maculaire liée à l’âge
Authors: Pierre Mitta , Lamaa Diana , Fabre Marie , Ronco Cyril , Benhida Rachid , Demange Luc , Charrueau Christine
Published: December 2023

La prise en charge thérapeutique de la dégénérescence maculaire liée à l’âge (DMLA) est un enjeu majeur de santé publique. L’une de ses deux formes tardives, la DMLA néovasculaire, est actuellement traitée par injection intravitréenne de molécules anti-angiogéniques. Bien qu’elle soit très efficace pour traiter les atteintes du segment postérieur de l’œil, la voie intravitréenne n’est pas une option idéale pour la prise en charge au long cours d’une maladie chronique telle que la DMLA. L’administration topique de molécules actives contre cette maladie, plus confortable pour le patient et moins coûteuse pour la société, représente un vrai défi.
Les secrets des variants
Authors: Jordan Bertrand
Published: December 2023

Most sequence variants encountered in medical genetics are of unknown significance, and their interpretation is a major stumbling block. Building on the successful AlphaFold system, the DeepMind group at Google has built a tool that predicts the pathogenic potential of any substitution in the human proteome. This is a major achievement and will be an important asset in clinical genetics.
Comparative qualitative and quantitative analysis of guidelines for nuclear accident recovery
Authors: Canet L. , Takada M. , Yasutaka T.
Published: December 2023

Nuclear accidents have impacted the territory, population, and environment over a long time. With their global and multifaceted impacts, increasing preparedness for such events will help achieve better and more sustainable long-term recovery. Recovery and response guidelines exist internationally for preparing for nuclear accidents. The qualitative and quantitative analysis of 13 recovery guidelines realized in this study help to better understand the general emphasis points, specificities, and potential topics that need to be further developed in the wake of sustainable remediation. Currently, recovery and remediation prioritize waste management, population protection, and well-being, with less focus on environmental and economic aspects. To meet sustainable needs, these less-emphasized areas should be addressed to foster more comprehensive and resilient recovery strategies.
Wann ist eine Shuntvene biologisch verbraucht?
Authors: Krönung Gerhard
Published: December 2023

Shuntvenen können mit der Zeit unterschiedliche, unterschiedlich ausgeprägte und unterschiedlich kombinierte degenerative Veränderungen zeigen. Für die Entscheidung einer Shunt aufgabe spielen aber oft weitere klinische Aspekte und deren jeweilige Gewichtung eine zusätzliche Rolle.
Diabetes mellitus im Alter
Authors: Wernecke Jürgen , Bahrmann Anke
Published: December 2023

Diabetes mellitus ist eine der häufigsten chronischen Erkrankungen im
Alter. Ältere Menschen mit Diabetes haben häufig
zusätzlich funktionelle und/oder kognitive
Beeinträchtigungen, die bei der Therapie berücksichtigt werden
müssen. Einfache Therapieformen sollten bevorzugt werden, um eine
Polypharmazie abzuwenden und die Selbstständigkeit der Patienten
möglichst lange zu erhalten. Vorsorgeuntersuchungen und Behandlung
diabetischer Folgeerkrankungen sind konsequent unter Beachtung alterstypischer
Besonderheiten vorzunehmen.
Diminished LC3 expression with unchanged Beclin 1 levels in right atrial appendage tissue of diabetic patients undergoing coronary artery bypass graft
Authors: Rajendran Raji Sasikala , Jayakumari Nandini Ravikumar , Pillai Vivek Velayudhan , Karunakaran Jayakumar , Gopala Srinivas
Published: December 2023

Type 2 diabetes potentiates the risk of heart failure. A vital physiologic process, autophagy, may be impaired in the diabetic heart. The purpose of the present work was to explore the autophagic status in the human diabetic heart. Techniques like immunohistochemistry and western blotting were employed to examine the expression of some of the important proteins involved in autophagic machinery. Our brief study reports, for the first time, evidence of decreased cardiac autophagic levels in diabetic patients.
The COVID-19 pandemics and import demand elasticities: evidence from China’s customs data
Authors: Zhang Weikang , Yan Isabel K. M. , Cheung Yin-Wong
Published: December 2023

We study China’s import demand elasticities using HS 8-digit customs data on China’s provincial imports during January 2019 to March 2021. It is found that both direct bilateral exchange rate elasticity and third-country exchange rate elasticity are affected by (1) policies that these Asian economies adopted to alleviate the adverse impacts of the COVID-19 pandemic and (2) the degree of concentration of exporters exporting a certain product to a certain Chinese provincial market. It is found that economic support policies will lower the bilateral exchange rate elasticity of trade flows, or even alter the sign of the bilateral exchange rate elasticity of China’s imports. Besides, the economic support policies can alleviate the pressure of foreign competition on exporters and make the exporters more resilient to the impacts of foreign competitors’ exchange rate depreciation. In contrast, the degree of market concentration of exporters in a certain provincial market affects the exchange rate and the third-country exchange rate elasticity differently. A higher market concentration lowers the bilateral exchange rate elasticity of trade flows but magnifies the impact of foreign competitors’ currency depreciation on exporters. These results are robust to alternative modes of trade, regional heterogeneity, product heterogeneity, various measures of policy responses to the pandemic, and alternative database.
Phosphorus chemistry in plant charcoal: interplay between biomass composition and thermal condition
Authors: Wu Yudi , Pae Lois M. , Huang Rixiang
Published: December 2023

Background Vegetation fire may change Phosphorus (P) cycling in terrestrial ecosystems through converting biomass into fire residues. Aim The aim of this study was to understand the chemistry and mobility of P in fire residues to help reveal P thermochemistry during biomass burning and post-fire P cycling. Methods A combination of sequential extraction, liquid 31P NMR and P K-edge XANES was used to obtain quantitative P speciation and explain P solubilisation behaviours of charcoal. Key results Despite varying diverse P species existing in raw biomass, only two P structural moieties – orthophosphate and pyrophosphate – were identified in charcoal. However, relative abundance of pyrophosphate differs greatly among charcoal samples from different biomass types, ranging between 0 and 40% of total extractable P. Although P K-edge XANES data indicates abundant soluble phosphate minerals, most P (70–90%) is likely occluded physically in the charcoal. The bicarbonate-extractable P (the Olsen-P) varies significantly and cannot be explained by surface P concentration or elemental stoichiometry alone. Conclusion and implications The results suggest the importance of starting biomass P speciation (i.e. molecular structure and complexation environment) and thermal conditions in controlling P speciation and availability in charcoal. The different P chemistry between charcoal and ash suggests the importance of fire types and severity in disturbing the P cycle.
Raccoon abundance indexing and removal: implications for Blanding’s turtle nest success
Authors: Rutter Andrew U. , Vanek John P. , Glowacki Gary A. , Golba Callie K. , King Richard B. , Pullins Craig K. , Smith Wesley E.
Published: December 2023

Context Elevated mesopredator populations can pose a threat to species of conservation concern. Aims We sought to evaluate the effectiveness of raccoon removal on their abundance and on Blanding’s turtle nest success. Methods We used an index of raccoon abundance generated from camera-trap data and information on the success of Blanding’s turtle nests to compare adjacent control and raccoon-removal sites. Key results Raccoon detections were more frequent and abundance index values were higher at control sites than at the removal site. However, Blanding’s turtle nest success did not differ between control and removal sites, likely because of differences in nest location and camera proximity. Conclusions The efficacy of raccoon removal for Blanding’s turtle conservation may vary with nest habitat characteristics and can benefit from a priori knowledge of nesting areas. Implications Mesopredator removal can be beneficial to species of conservation concern, provided it occurs in areas of greatest impact.
The role of tropical rainfall in driving range dynamics for a long-distance migratory bird
Authors: Dossman Bryant C. , Studds Colin E. , LaDeau Shannon L. , Sillett T. Scott , Marra Peter P.
Published: December 2023

Predicting how the range dynamics of migratory species will respond to climate change requires a mechanistic understanding of the factors that operate across the annual cycle to control the distribution and abundance of a species. Here, we use multiple lines of evidence to reveal that environmental conditions during the nonbreeding season influence range dynamics across the life cycle of a migratory songbird, the American redstart (
Setophaga ruticilla
). Using long-term data from the nonbreeding grounds and breeding origins estimated from stable hydrogen isotopes in tail feathers, we found that the relationship between annual survival and migration distance is mediated by precipitation, but only during dry years. A long-term drying trend throughout the Caribbean is associated with higher mortality for individuals from the northern portion of the species’ breeding range, resulting in an approximate 500 km southward shift in breeding origins of this Jamaican population over the past 30 y. This shift in connectivity is mirrored by changes in the redstart’s breeding distribution and abundance. These results demonstrate that the climatic effects on demographic processes originating during the tropical nonbreeding season are actively shaping range dynamics in a migratory bird.
Endocannabinoid biosynthetic enzymes regulate pain response via LKB1–AMPK signaling
Authors: Chen Miaomiao , Shin Myungsun , Ware Timothy B. , Donvito Giulia , Muchhala Karan H. , Mischel Ryan , Mustafa Mohammed A. , Serbulea Vlad , Upchurch Clint M. , Leitinger Norbert , Akbarali Hamid I. , Lichtman Aron H. , Hsu Ku-Lung
Published: December 2023

Diacylglycerol lipase-beta (DAGLβ) serves as a principal 2-arachidonoylglycerol (2-AG) biosynthetic enzyme regulating endocannabinoid and eicosanoid metabolism in immune cells including macrophages and dendritic cells. Genetic or pharmacological inactivation of DAGLβ ameliorates inflammation and hyper-nociception in preclinical models of pathogenic pain. These beneficial effects have been assigned principally to reductions in downstream proinflammatory lipid signaling, leaving alternative mechanisms of regulation largely underexplored. Here, we apply quantitative chemical- and phospho-proteomics to find that disruption of DAGLβ in primary macrophages leads to LKB1–AMPK signaling activation, resulting in reprogramming of the phosphoproteome and bioenergetics. Notably, AMPK inhibition reversed the antinociceptive effects of DAGLβ blockade, thereby directly supporting DAGLβ–AMPK crosstalk in vivo. Our findings uncover signaling between endocannabinoid biosynthetic enzymes and ancient energy-sensing kinases to mediate cell biological and pain responses.
A universal method for constructing n-dimensional polynomial hyperchaotic systems with any desired positive Lyapunov exponents
Authors: Yan Wenhao , Ding Qun
Published: December 2023

Most existing chaotic maps have many defects in engineering applications, such as discontinuous parameter range, uneven output of chaotic sequences and dynamic degradation. Based on this, a generalized n-dimensional polynomial chaotic map is proposed in this paper. By setting the coefficient of the linear term and the order of the highest order term of the polynomial, a series of n-dimensional polynomial chaotic maps of specific Lyapunov exponents can be obtained. The system solves the defects of the above system well, in addition, one can get the desired number of positive Lyapunov exponents, and one can get the desired value of positive Lyapunov exponents. Then, the effectiveness of the map is verified by a specific numerical example, and its dynamic analysis shows that the map has complex dynamic behavior. Finally, the map is applied to secure communication technology. Compared with other chaotic maps of the same dimension, the maps can obtain a smaller bit error rate, indicating that the chaotic map is more suitable for chaotic secure communication applications.
Global and multistable dynamics in calcium oscillations model
Authors: Subramanian Rajes Kannan , Tabekoueng Njitacke Zeric , Awrejcewicz Jan , Rajagopal Karthikeyan
Published: December 2023

In most animal and plant cells, the information’s processing is insured by calcium ions. This contribution studies the global dynamics of a model of calcium oscillation. From the stability analysis, it is found that the oscillations of that model are self-excited since they are generated from unstable equilibria. Using two-parameter charts, the general behavior of the model is explored. From the hysteresis analysis using bifurcation diagrams with their related Largest Lyapunov Exponent (LLE) graphs, the coexisting oscillation modes are recorded. This phenomenon is characterized by the simultaneous existence of periodic and chaotic oscillations in the considered model by just varying the initial conditions. Using a set of parameters for which the model exhibits multistability, the basins of attraction related to each coexisting solution are computed and enable the capture of any coexisting pattern.
Synchronization of complexity enhanced chaos in semiconductor lasers
Authors: Pal Bappaditya , Baruah Sudarshan , Dikshit Biswaranjan
Published: December 2023

In synchronized chaotic lasers based secure key distribution and other encrypted communications, presence of the time delay signature in chaos poses a threat to security. So the transmitter and receiver lasers should preferably be operated in complexity enhanced chaotic regime where the time delay signature is hidden. However, achieving good synchronization in experiments in such regime is challenging. We report experimental demonstration of achieving excellent synchronization between two semiconductor lasers even when both the lasers are operating in complexity enhanced chaotic regime with absolutely no time delay signature present in their output. This chaotic regime is ensured by evaluating the auto correlation function, permutation entropy and spectrum analysis of the time series. As a measure of synchronization, cross-correlation coefficient of 0.923 is achieved between the transmitter and receiver lasers. This results are of immense importance in chaos based secure key distribution and other encrypted communication schemes.
Energy function and complex dynamics from a jerk system
Authors: Yu Jinhua , Njitacke Zeric Tabekoueng , Jiang Donghua , Wu Jianhua , Awrejcewicz Jan
Published: December 2023

Jerk, as a mathematical concept, is used in mechanics to describe the rate of change of acceleration and plays a crucial role in the design of control systems for machines and vehicles. Therefore, it is important to master the various states and the energy released during the change of acceleration. This is why a new simple jerk function introduced afterward, energy released, is derived from a Hamilton function using the Helmholtz theorem. The condition of having a stable or unstable rate of change of acceleration is established using Hopf bifurcation theory. Some two-parameter stability charts are then computed for a suitable selection region of the study. Using some nonlinear analysis metrics, in the unstable region of the study, the occurrence of phenomena is found, such as reverse period doubling bifurcation, antimonotonicity, and hysteresis involving the coexistence of the states in the considered jerk system. An electronic circuit is built and used to implement the mathematical expression of the jerk equation and validate the result of the theoretical investigation.
Alleviating orbital angular momentum mode coupling between two ring-cores with different materials in a photonic crystal fiber for optical communication
Authors: Wang Xiaohui , Yu Yongze , Deng Dongdong , Mao Shuai , Wang Yang , Gu Haoyu , Song Yingxiong , Pang Fufei , Zhuang Liyun , Yang Song , He Xiaofeng , Wang Chao
Published: December 2023

A dual-ring photonic crystal fiber (PCF) is proposed, which not only supports the stable transmission of orbital angular momentum (OAM) modes but also deftly mitigates interference of mode coupling between the two rings. This fiber design possesses two concentric ring-cores and claddings, each constructed from distinct materials, effectively functioning as independent OAM channels. Importantly, the absence of significant mode coupling between the OAM modes of the two ring-cores guarantees unhindered transmission of the dual rings. Remarkably, the outer ring can accommodate 82 OAM modes of transmission and the inner ring can accommodate 34 OAM modes of transmission. High mode quality (>94.13%) is observed for all OAM modes in both inner and outer rings at wavelengths from 1.5 to 1.6 μm. This special design ensures that the modes in the outer ring have excellent performance and also maintains the modes in the inner ring as unaffected by the outer ring to the greatest extent.