bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact Testing of Passenger Vehicle and Semi-Truck Pneumatic Tires and Rims
Authors: Asay Alan F. , Woolley Ronald L. , Nielson Brian C.
Published: April 2023

Wheels and tires on vehicles, are often directly (or indirectly) involved in collisions with other vehicles or fixed objects. In this study, the effects of the pneumatic tire and rim, as it contributes to a dynamic collision, was isolated and studied. A total of 15 mounted tires of various common sizes were selected to conduct 35 dynamic impact tests into the flat face of an instrumented concrete barrier. The tires and rims used in the tests ranged from heavy truck, light truck, down to common passenger vehicle tires. Each of the 15 tires and rims were impact tested individually to failure in order to explore the dynamic response and performance of pneumatic tires in collisions. Of the 35 tests, 28 were conducted with a single tire and rim configuration and 7 tests were conducted simulating a dual truck tire configuration. It was determined that the coefficient of restitution for 22 of the tire impacts into the rigid flat faced barrier were remarkably similar, around 0.9 ± 0.1. Additionally, three full-scale impact tests were conducted using four heavy truck tires, mounted in parallel with offsets typical of dual tire spacing, to impact the front, rear, and side of a mid-size SUV. The coefficient of restitution ranged between 0.31-0.33 for all three impacts. The acceleration and integrated velocity pulses of those same three tests were also compared with previous published research of narrow frontal object impacts and found to have good correlation. These instrumented pneumatic tire and rim tests provide well-documented real-world type tests that can be used for future evaluation, comparison, or simulation of similar applicable type collision events. They also provide a foundational basis for future exploration of the role of the pneumatic tires directly involved in impacts.
Evaluation of Tesla Dashcam Video System for Speed Determination Via Reverse Projection Photogrammetry
Authors: Molnar Benjamin T. , Peck Louis R.
Published: April 2023

Recent Tesla models contain four integrated onboard cameras that serve the Autopilot and Self-Driving Capabilities of the vehicle and act as a dashcam by recording footage to a local USB drive. The purpose of this study is to analyze the footage recorded by the integrated cameras and determine its suitability for speed determinations of both the host vehicle and surrounding vehicles through photogrammetry analyses. The front and rear cameras of the test vehicle (2019 Tesla Model 3) were calibrated for focal length and lens distortion characteristics. Two types of tests were performed to determine host vehicle speed: constant-speed and acceleration. Several frames from each test were analyzed. The distance between camera locations was used to gather vehicle speed through a time distance analysis. These speeds were compared to those gathered via the onboard GPS instrumentation. Two additional types of tests were performed to determine surrounding vehicle speeds: a vehicle approaching from the rear and an offset vehicle approaching from the front. For both tests, the Tesla was stationary. Several frames from each test were analyzed via reverse projection, using a point cloud of the approaching vehicles. The speeds obtained through photogrammetry were compared to GPS instrumentation onboard the approaching vehicle. The mean difference between photogrammetry and GPS instrumentation ranged between 0.38 and 0.72 mph across all tests.
A Study on the Improvement of Driver's Inconvenience to Ensure Driving Stability in Bad Weather Conditions
Authors: Lim Jungho , Shin Hyunsu , Jeong Sang Hun , Yang Ji Hyun
Published: April 2023

Bad weather conditions such as torrential rain, heavy snow, and thick fog frequently occur worldwide. Vehicle accidents in such bad weather conditions account for a significant portion of all vehicle accidents, and the level of damage is relatively severe compared to other accidents that occur in clear weather.

This paper analyzes the driver's driving stability in bad weather conditions, which has such a significant meaning, in various ways through experiments on the inconvenience experienced by the driver. In this study, three levels of bad weather conditions were implemented in a driving simulator environment to evaluate driver inconvenience for six activities. Through driving experiment, quantitative bio-signals and vehicle signals were analyzed in each weather condition. The SD survey was used to assess the driver's inconvenience level for activities performed while driving and analyze the ranking of inconvenience. In the above experiment, quantitative indicators and qualitative inconvenience scores according to weather conditions showed that bad weather such as fog and rain increased driver inconvenience while driving.

And in order to improve this problem, it is suggested that two measures, 'simplification of switch operation' and 'improvement of the driver's visual and auditory awareness', should be applied first. It is to optimize the previously developed technology centered on the driver rather than the new development of the new technology, and there is a high possibility that the actual application of the vehicle and the inconvenience of the driver may be quickly improved.

Through this study, we expect that there will be meaningful results to improve driver inconvenience and increase vehicle stability before fully autonomous driving is implemented.
A Study on Estimation Tool of Occupant Injury Risk for Deriving Integrated Safety Scenarios
Authors: Han Kwang Cheol , Seo Bo Pil , Unger Michiel
Published: April 2023

‘Active safety systems’ are actively being developed to prevent collisions. The integration of ‘active safety systems’ and traditional ‘passive safety systems’ such as seatbelt and airbags is an important issue. The ‘Integrated safety’ performance is that comprehensively controls the performance of ‘active’ and ‘passive’ safety systems to reduce occupant injuries. To develop ‘integrated safety’ performance, it is important to develop crash scenarios for autonomous vehicles. This study is about the development of ‘Estimation Tool of Occupant Injury Risk’ for deriving risk integrated safety scenarios focused on occupant injury. The results of random traffic simulation using ‘Virtual Prototype’ were used to select parameters, and ‘MADYMO Equivalent Simplified Vehicle Crash Analysis Model’ was used to derive F-D characteristics for each vehicle collision condition. The ‘Estimation Tool of Occupant Injury Risk’ was developed through the analysis of occupant injuries using the Hyundai Active Human Model for Safety (HAHMS).
Impact of Event-Based EV Charging Power Profile on Design and Control of Multi-Source DCFC Stations
Authors: D'Arpino Matilde , Singh Gurpreet , Koh Myung Bae
Published: April 2023

The availability of DC Fast Charging Stations (DCFCs) is considered a fundamental step for the widespread adoption of electric vehicles (EVs). To mitigate the impact of high-power charging events on the grid, DCFCs are often equipped with stationary energy storage and renewable energy resources. In literature, many methods have been proposed to design, control, and optimize the performance of multi-sources DCFCs. Many of the research contributions use the averaged EV charging power consumption as input, not the real-time event-based power request. This paper aims at comparing the effects of average-based and event-based EV charging power profiles on the design and control of multi-sources DCFCs. An algorithm that generates event-based EV charging power profiles has been developed based on the data from the California Energy Commission (CEC) report and NREL's EVI-Pro I tool. Multiple scenarios can be generated based on different weekday and weekend energy consumptions, EV penetrations, and the number or power level of chargers. The case scenario in this paper considers a 150kW charging station with second life energy storage and photovoltaic (PV) plant with a low power grid connection (<50kW). The utilization of local distributed energy resources is fundamental for enabling EV charging power delivery. Event-based and average-based EV charging power profiles, having the same energy requirements, are used to assess the impact on the design and control of the stations.
IEC 61851 Conform Charging: Accident or Purpose?
Authors: Seifert Christoph , Grund Sophia Caroline , Reuss Hans-Christian
Published: April 2023

Within the last years, the number of electric vehicles in Europe is increasing faster than the number of charging stations. Based on this, the reliability of the charging process takes on greater significance. The communication between the electric vehicle (EV) and their charging station is a prerequisite to transfer the charging power. Using a universal charging communication test system allows an observation of the whole charging communication according to ISO 15118 and IEC 61851 standards. It is important to know whether the communication between the EV and the charging station functions accordingly, in order to ensure functionality. Furthermore, tolerances must comply with the standard. In a first step, the basic communication according to IEC 61851 is considered. Preliminary investigations of the pulse width modulation (PWM) signal have shown that some EVs are tolerant of the standards. Which means, that a charging process is still possible, although the communication is not conform to the standard. Therefore, the FKFS is presenting a Man-in-the-middle system which allows a systematic manipulation of the charging process. Based on the total interruption of the communication, a regulation of the edge steepness and the frequencies of the PWM signal are possible. This allows further investigations of the limits of charging process, which are necessary to guarantee a reliable charging process. The investigations focus on the start of the charging process under different conditions as well as an observation on how the charging process is affected, if parameters change while charging. Additionally, the tolerance of timeouts can be evaluated. The modularity of the chosen test system makes it possible to investigate the low-level as well as the high-level communication.
Simulation Analysis and Experimental Study of Baja Racing Car Frame Based on Special Working Conditions
Authors: Wang Bin , Yuan Zilong , Hu Jiale , Yao Wentao
Published: April 2023

As an off-road racing car, driving conditions for a Baja racing car are particularly complex. Extreme working conditions such as deep pits and rocky roads have put higher demand on structural strength and frame safety. To solve this problem, extreme working conditions are first studied to check the safety of the steel tube frame of Baja racing cars. Secondly, based on Noise, Vibration, and Harshness (NVH) to explore the frame's characteristics, analyze the frame's six-order mode, make the corresponding optimization, and solve the resonance problem caused by engine excitation and other factors. Finally, the natural frequency of the frame is measured to verify the effectiveness of the NVH characteristic optimization results, and it is found that the experimental results match the theoretical values. The theoretical analysis results are mainly based on ANSYS software's static and modal analysis. Through the above steps, a set of finite element analyses and structural optimization schemes of AWD full-time four-wheel drive Baja racing car frame is systematically proposed, which has reference significance for the subsequent frame design.
Research on Low Illumination Image Enhancement Algorithm and Its Application in Driver Monitoring System
Authors: Wu Zhanqian
Published: April 2023

The driver monitoring system (DMS) plays an essential role in reducing traffic accidents caused by human errors due to driver distraction and fatigue. The vision-based DMS has been the most widely used because of its advantages of non-contact and high recognition accuracy. However, the traditional RGB camera-based DMS has poor recognition accuracy under complex lighting conditions, while the IR-based DMS has a high cost. In order to improve the recognition accuracy of conventional RGB camera-based DMS under complicated illumination conditions, this paper proposes a lightweight low-illumination image enhancement network inspired by the Retinex theory. The lightweight aspect of the network structure is realized by introducing a pixel-wise adjustment function. In addition, the optimization bottleneck problem is solved by introducing the shortcut mechanism. Model performance comparison test results demonstrate that the Structure Similarity Index Measure index of the proposed model is 7.04% and 31.03% higher than that of Multi-Scale Retinex with Color Restoration and Contrast Limiting Adaptive Histogram Equalization, respectively. In the use case, the proposed model is capable to process videos with a resolution of 400×600 at a speed of 20fps on average, which meets the requirements of DMS video stream processing speed. Furthermore, a MobileNet based distraction state recognition network pre-trained on the SFD3 dataset is adopted as the back-end to verify its application in the DMS system. The results show that the accuracy in the driver's distracted behavior recognition with a low-light environment is improved by 75.39% compared to before use.
Comparing Visual Fixations between Initially Stopped and In-motion Turn Across Path Hazards
Authors: Caren Brooklin , Ziraldo Erika , Oliver Michele
Published: April 2023

Collisions involving turn-across-path hazards are responsible for a disproportionate number of injuries and fatalities compared to collisions with other orientations. Previous investigations of turn-across-path hazards have found conflicting results regarding hazard detection and response behaviour of drivers, particularly for hazards with different onset conditions. Typically, hazards with abrupt onsets should attract attention more readily, however, the opposite trend for response times has been observed when the abrupt onset is a rapid change in speed, rather than a sudden appearance. This study compared two left-turn-across path hazards with different onsets. The abrupt onset hazard was an initially stopped vehicle that quickly accelerated into the participant drivers’ path, while the gradual onset hazard was already in motion as the participant driver approached. Visual fixations were compared between the two onset types to determine if the sudden speed change was capturing attention as quickly as the already in-motion hazard, or if drivers were responding faster to the initially in-motion hazard for another reason. 88 participants completed the experiment in a full vehicle driving simulator while donning eye tracking glasses. Both response time and time-to-first fixation were shorter for drivers responding to the initially in-motion hazard when compared to the initially stopped hazard. There was no significant difference in total fixation duration between the onset conditions. The results indicate that despite the sudden onset behaviour, drivers were attending to the initially stopped hazard later. Additionally, for both hazard onsets time to first fixation duration was significantly, positively correlated with driver response time, while total fixation duration was significantly, negatively correlated. These differences in fixations provide evidence to include targeted instruction to address recognition of and responses to hazards with different onset conditions during driver training, and to include hazard onset behaviour as a consideration when evaluating the avoidability of collisions involving left-turning vehicles.
Development of Bearing with Multilayer Bi-Sb Overlay for Automotive Engines
Authors: Ando Akira , Kanaya Ryuji , Haneda Yuma
Published: April 2023

In recent years, the removal of lead (Pb), which is an environmentally hazardous material often used in bearings for automotive engines, has been continuously promoted. Bismuth (Bi) is attracting attention as a substitute for lead, and it is currently being used mainly for passenger cars and trucks as a lead replacement. However, lead has not been replaced for motorcycles where the bearings are exposed to high temperatures at high rotation speeds, and trucks and generators where high loading capacity, long lifetime and good corrosion resistance are required. It has been difficult to achieve both high load and corrosion resistant for a bearing overlay material. The purpose of this development is to improve the corrosion resistance and fatigue resistance of bismuth overlay by developing a bismuth- antimony alloy overlay in which antimony (Sb) is added to the bismuth matrix. However, concern arises that antimony may form a compound with copper (Cu) in the bearing alloy underneath the overlay therefore adversely affects the corrosion resistance and fatigue resistance of the overlay. The target of this study is therefore to optimize the bismuth - antimony overlay so that excellent corrosion resistance and fatigue resistance can be achieved while the formation of copper and antimony compounds is suppressed. To reach the development target, various experiments were carried out focusing on antimony concentration and structure of the bismuth - antimony overlay. In the developed material, the formation of copper-antimony compounds was suppressed, and the oxidation resistance and fatigue resistance were superior to other materials. After excellent rig test results, more practical evaluations such as actual engine test will be conducted.
Process Improvements to Reduce Bonding Gap between Aluminum Cylinder Block and Cast-In Liner and Evaluation through Non-Destructive Techniques
Authors: D Balachandar , Nataraj Naveenkumar
Published: April 2023

Light weight technologies are inevitable in the automotive industry to increase fuel efficiency and meet emission norms. An engine cylinder block is one of the major elements contributing approximately 3-4 % of the automobile weight. Aluminum cylinder block with cast-in liner is almost 40-55 % lighter than a conventional cast iron block [1] and hence the manufacturing processes and challenges associated with them are of high interest. A heterogeneous cast-in liner of gray cast iron in cast aluminum offers a low cost option, but the mechanical bond created between the liner and aluminum interface is prone to gap formation which affects the engine in terms of in-effective heat transfer, distortion and higher blow-by, and thereby high oil consumption & higher emissions. This study aims at reducing this interface bonding gap by in-depth study of critical process parameters involved in manufacturing of cylinder blocks.

The study involved a single cylinder petrol engine block manufactured using High Pressure Die Casting (HPDC) process. Using detailed cause and effect analysis, various stages of HPDC like die design, including gating & cooling system were studied & improved using mold flow analysis. Die casting process parameters like die temperature, warm up shots, and biscuit thickness were optimized. Evaluation of bonding gap was carried out using non- destructive techniques like Immersion Ultrasonic Testing & Computed Tomography Testing and a comparative analysis with experimental results of both methods are discussed. Considering initial investment, testing cost, testing time, sensitivity & resolution, a feasible method may be selected for implementation.
Residual Stress Induced Fretting Fatigue during Fatigue Testing for Materials Produced by Laser Powder Bed Fusion Process
Authors: Lai Wei-Jen , Li Ziang
Published: April 2023

Fretting fatigue was observed in standard cylindrical fatigue samples at the regions in contact with the grips of the test frames during fatigue testing for AlSi10Mg aluminum alloy produced by laser powder bed fusion process (L-PBF). The failure of the fatigue sample grips occurs much earlier than the failure of the gauge section. This results in a damaged sample and the sample cannot be reused to continue the test. This type of failure is rarely seen in materials produced by traditional manufacturing processes. In this study, X-ray residual stress analysis was performed to understand the cause of failure for L-PBF AlSi10Mg with the as-built surface condition. The result indicates that the fretting fatigue failure was caused by the strong tensile residual stress in the as-built state combining with the fretting wear between the sample and the grip. A few potential solutions to avoid the fretting fatigue failure were investigated. The results show that stress relieving is the most effective method. However, this is not always feasible as it changes the mechanical properties and microstructure, as well as the fatigue properties. If the fatigue properties in the as-built state are desired, the sample grip should be made with a larger diameter and a significant amount of material needs to be removed to obtain the final diameter.
Interaction of Four-Screw Vehicle and Soft Terrain Based on SPH-FEM Method
Authors: Wang Kaidi , Shen Yanhua , Liu Tao , Zhang Haojie
Published: April 2023

The four-screw propulsion vehicle has high traffic performance and strong maneuverability on the fluidized soft terrain. However, the interaction mechanism between the four-screw vehicle and the soft terrain is quite complicated. The driving performance of the screw vehicle on the soft terrain are not clear, and it is difficult to achieve accurate dynamic control of the four-screw vehicle.

The mechanical relationship and motion mode of the four-screw propulsion vehicle-soft terrain interaction are theoretical analyzed, the force characteristics of the screw drive wheel under each motion mode of the vehicle are obtained. The interaction model between soft terrain of tailings dam and four-screw vehicle is established by using smooth particle hydrodynamics (SPH) and finite element method (FEM). Four groups of different screw driving angular velocity and four groups of different screw angular velocity difference are selected to simulate the straight driving and differential steering in soft terrain. The direction and variation trend of the interaction force and its component force of the four screw drive wheels-soft terrain under these two conditions are analyzed, and the relationship between various screw angular velocities and driving performance parameters such as vehicle speed, driving torque, slip rate and sinkage is fitted. The influence of various angular velocity difference of screw drive wheel on steering performance parameters is analyzed, such as steering radius and sinkage. The differences of screw-interaction force and driving performance parameters on both sides of the body during differential steering are compared. The results show that the characteristics of screw – soft terrain interaction force obtained by simulation are identity with theoretical analysis. The speed, sinkage and slip rate of the screw drive wheel are positively correlated with the driving angular velocity. Screw angular velocity difference is inversely proportional to steering radius. The results can provide reference for differential steering control of screw propulsion vehicles.
Light Commercial Vehicle ADAS-Oriented Modelling: An Optimization-Based Conversion Tool from Multibody to Real-Time Vehicle Dynamics Model
Authors: Zerbato Luca , Galvagno Enrico , Tota Antonio , Mancardi Lorenzo , Velardocchia Mauro , Nosenzo Vladi , Verrilli Gianpiero , Voglino Alberto
Published: April 2023

In the last few years, the number of Advanced Driver Assistance Systems (ADAS) on road vehicles has been increased with the aim of dramatically reducing road accidents. Therefore, the OEMs need to integrate and test these systems, to comply with the safety regulations. To lower the development cost, instead of experimental testing, many virtual simulation scenarios need to be tested for ADAS validation. The classic multibody vehicle approach, normally used to design and optimize vehicle dynamics performance, is not always suitable to cope with these new tasks; therefore, real-time lumped-parameter vehicle models implementation becomes more and more necessary. This paper aims at providing a methodology to convert experimentally validated light commercial vehicles (LCV) multibody models (MBM) into real-time lumped-parameter models (RTM). The proposed methodology involves the definition of the vehicle subsystems and the level of complexity required to achieve a good match between the simulation results obtained from the two models. Thus, an automatic vehicle model converter will be presented together with the assessment of its accuracy. An optimization phase is included into the conversion tool, to fine-tune uncertain vehicle parameters and to compensate for inherent modelling differences. The objective function of the optimization is based on typical performance indices used for vehicle longitudinal and lateral dynamics assessment. Finally, the simulation results from the original and converted models are compared during steady-state and transient tests, to prove the conversion fidelity.
Smart Pneumatic Control System Development for Reducing Passenger Fatigue
Authors: Lee Taehoon , Kim Sangho , Kim Sunghoon , Park SangHoon , Son Byeongseon , Kim Ji Hwan
Published: April 2023

The recent technological development trend in the automobile market is in the huge flow of MECA (Mobility, Electrification, Connectivity, Autonomous). The role of the seat is to provide convenience functions in addition to providing safe and comfortable performance. The development of autonomous driving technology reduces fatigue during long-term driving, but on the contrary, the risk of drowsy driving due to overconfidence in the autonomous driving system is increasing. In this study, the massage function was developed by utilizing the existing pneumatic system, and the contents of research on objectification through medical verification of the effect of preventing drowsy driving and recovering from fatigue due to long-term driving are described.
Using Ethernet or a Wireless Harness and Named Data Networking in Autonomous Tractor-Trailer Communication
Authors: Elhadeedy Ahmed , Daily Jeremy
Published: April 2023

Autonomous truck and trailer configurations face challenges when operating in reverse due to the lack of sensing on the trailer. It is anticipated that sensor packages will be installed on existing trailers to extend autonomous operations while operating in reverse in uncontrolled environments, like a customer's loading dock. Power Line Communication (PLC) between the trailer and the tractor cannot support high bandwidth and low latency communication. This paper explores the impact of using Ethernet or a wireless medium for commercial trailer-tractor communication on the lifecycle and operation of trailer electronic control units (ECUs) from a Systems Engineering perspective to address system requirements, integration, and security. Additionally, content-based and host-based networking approaches for in-vehicle communication, such as Named Data Networking (NDN) and IP-based networking are compared. Implementation, testing and evaluation of prototype trailer ECU communication with the tractor ECUs over Ethernet is shown by transmitting different data types simultaneously. The implementation is tested with two networking approaches, Named Data Networking, and Data Distribution Service (DDS) and the test indicated that NDN over TCP is an efficient approach that is capable of meeting automotive communication requirements. Using Ethernet or a wireless harness and NDN for commercial trailer Anti-Lock Braking System (ABS) ECU provides adequate resources for the operation of autonomous trucks and the expansion of its capabilities, and at the same time significantly reduces the complexities compared to when new features are added to legacy communication systems. Using a wireless medium for tractor-trailer communication will bring new cybersecurity challenges and requirements which requires new development and lifecycle considerations.
Thermal Reduced Order Modeling for System Analysis of EV Battery
Authors: Ding Peiran , Jiang Weiran , Majumdar Abhigyan , Pawar Pranav , Hu Xiao , Wakale Anil
Published: April 2023

The safety, performance, and operational life of power dense Lithium-ion batteries used in Hybrid and Electric Vehicles are dependent on the operating temperature. Modeling and simulation are essential tools used to accelerate the design process of optimal thermal management systems. However, high-fidelity 3D computational fluid dynamics (CFD) simulation of such systems is often difficult and computationally expensive. In this paper, we demonstrate a multi-part coupled system model for simulating the heating/cooling system of the traction battery at a module level. We have reduced computational time by employing reduced-order modeling (ROM) framework on separate 3D CFD models of the battery module and the cooling plate. The order of the thermal ROM has also been varied to study the trade-off between accuracy, fidelity, and complexity. The ROMs are bidirectionally coupled to an empirical battery model built from in-house test data. This makes sure that we capture the interdependence of different parameters and behaviors and closely resemble the real system behavior. The complete system model is built up in a commercial system simulation platform and has the capability of simulating the system response to drive-cycles, charge profiles or any system dependent test conditions, under the influence of various heating/cooling control algorithms.
ECLIPTA PROSTRATA: PHARMACOLOGY, MOLECULAR GENETIC PROPERTIES, AND CULTIVATION
Authors: VO TRUNG AU  , MUMUNI A. MUSAH WALA  , DAM SAO MAI
Published: April 2023

Eclipta prostrata (L.), (Asteraceae), commonly known as Cỏ Mực or Nhọ Nồi in Vietnamese, has been used as a traditional medicine in many countries especially in tropical and sub-tropical regions. Some important pharmacological properties of this plant are analgesic, antioxidant, anti- inflammation, HIV1 (Human immunodeficiency virus 1), anti- tumor, antibacterial, anti- termite etc. Previous reviews indicated the photochemical and pharmaceutical properties of Eclipta spp. while others were on its tissue cultivation. However, many details about the botanical, experimental or research on E. prostrata are limited.  Researches on Eclipta spp. mostly focus on the pharmaceutical properties while the biodiversity and biological cultivation is still not marked. Current status of bioactivities, pharmacological profile, biotechnology application, molecular approach, and chloroplast whole genome sequence and their agronomic properties of E. prostrata are covered in this review.
STRATEGIES FOR DEVELOPING COMPETENT YOUTHS IN INTEGRATED AGRICULTURE THROUGH LOCAL WISDOM
Authors: Singapurwa Ni Made Ayu Suardani , Kawan I Made , Suariani Luh , Darmadi Ni Made , Yudiastari Ni Made , Semariyani A.A. Made , Arjana I Gusti Made , Sudewa Ketut Agung , Rudianta I Nyoman , Tonga Yan , Sulistiawati Ni Putu Anom
Published: April 2023

Integrated agricultural system is a management system (business) that combines agricultural components, such as plants, animals and fish in a unified whole. In addition to meeting the criteria for sustainable agricultural development, this system has a significant positive impact because it is organically based and developed/directed based on local potential (local resources). Warmadewa University offered a solution to the concept of integrated agricultural conservation starting from livestock and fisheries activities to post-harvest processing and encourage an entrepreneurial spirit in the younger generation. The engineering provided was an efficient technology resulting from research from professional agricultural experts that has been published in various journals. Among them are the development of organic cultivation and diversification using the SNT (System Nutrient Tank) method for exclusive vegetables, super local breed chicken farming in accordance with national poultry standards, fisheries with the concept of aquaponics (hydroponic system and poly culture system) and post-harvest processing of agricultural, livestock and fishery products, with the concept of food processing supporting local wisdom, all of which were integrated and with the concept of zero waste. The method used in this activity were delivering material, training, practice and mentoring to young people who are members of the partner, DUDI Tamiang Bali Mandiri Foundation in the Agro Learning Center (ALC) group. These youth were given integrated agricultural knowledge as well as fisheries and animal husbandry and the processing of agricultural products with the concept of "zero waste" based on Tri Hita Karana (Balinese local wisdom). There were 5 activities in this program. The output of Unwar's Matching Fund activities with the Industrial World was a young generation who are competent and have competency certificates from the Professional Certification Institute through the National Professional Certification Agency (BNSP) for 8 people, and integrated agricultural training certificates for 25 people, so they are ready to be independent or work competent in agriculture. Other outputs were Activity Books and Standard Operation Procedure Books, IPRs, Modules, Product Launches, News in the Bali Post Newspaper, Product Exhibitions, Video activities, each targeted at one achievement target.
Analysis Of Outpatient Satisfaction Level Of Clinical Pharmaceutical Services At Puskesmas Bungursari Tasikmalaya
Authors: Sidiq Fahmi , Kankarofi Rabiu Hamisu
Published: April 2023

Pharmaceutical service agencies to carry out quality administration in the health sector. Quality administration must be seen, one of which is by checking the level of patient satisfaction. Patients are likely to be a broad and quality confirmation action in health services, which means that patient satisfaction must be an act that cannot be separated from the nature of health services. The motivation behind this research is to determine the level of short-term patient satisfaction with drug administration at the Bungursari Tasikmalaya Health Center. This examination is descriptive non-experimental by chance testing, sharing information using a survey. The results showed the level of short-term patient satisfaction with drug administration at the Bungursari Tasikmalaya Public Health Center pharmacy in all aspects with a level where the appearance aspect (Tangible) had a satisfaction level of 79.81% (satisfied), the empathy component (Empaty) had a typical satisfaction with a level of 79.63% (satisfied), the element of the satisfaction level of reliability (Reliability) has a satisfaction level of 79.44% (satisfied), the responsiveness component has a satisfaction level of 77.98% (satisfied) and the element of certainty (Assurance) has a typical patient satisfaction level of 81.46% (very satisfied). Considering the consequences of examining the level of outpatient patient satisfaction with pharmaceutical services at the Bungursari Tasikmalaya Health Center pharmacy installation with the Spearman Rank Test for each variable, each variable obtained a value less than 0.5, it can be concluded that there is a significant relationship between the quality of pharmaceutical services and patient satisfaction the road to services at the Bungursari Tasikmalaya Health Center.
Oral Mukozal Melanom: Nadir Görülen Bir Vaka Raporu
Authors: AKTÜRK Hüsna , TAŞYAPAN Sedef Ayşe , RAMAZANOĞLU Mustafa , ÇAKIR KARABAŞ Hülya , ÖZCAN İlknur
Published: April 2023

Oral mukozal melanom (oral malign melanom) nadir bir neoplazmdır. Oral melanomların en sık yerleşim yeri diş eti, sert damak ve alveolar krettir. Lezyon sıklıkla belirgin şişlik, dişlerde yer değişikliği, ülserasyon ve kanama şikayetleri ile tespit edilir. Agresif bir davranışı olduğu için 5 yıllık hayatta kalma oranının %33.1 civarında olduğu tahmin edilmektedir. Bu nedenle, bu olgu sunumunun amacı erken tanının önemini vurgulamak, ilgili pigmente lezyonlara daha fazla şüphe ile yaklaşılmasını tavsiye etmektir. 69 yaşında kadın hasta şişlik ve ağrı şikayetleriyle kliniğimize başvurdu. Alınan anamnezde hipertansiyon ve diyabet tanılı hastanın, şişliği son 1-2 aydır fark ettiği öğrenildi. İntraoral muayenede sert damakta, maksiller alveolar krette ve bukkal sulkus alanında pigmente ve ülsere lezyonlar tespit edildi. Radyografik muayene, hastadaki lezyonların sadece yumuşak dokuda lokalize olduğunu ortaya koydu. Biyopsi sonucunda lezyona “malign melanom” tanısı konuldu. Oral mukozal melanom nadir görülen agresif bir tümör olup hayatta kalma oranı çok düşüktür. Klinisyenler oral kavitede sıklıkla karşılaştıkları intraoral pigmente lezyonlara oral mukozal melanom ihtimaline binaen daha çok şüphe ile yaklaşmalıdırlar.
Preschoolers with general speech underdevelopment socialization practices in Ukrainian and Swedish preschool educational institutions
Authors: Rogalska–Yablonska Inna , Melnyk Nataliia , Tsvietkova Hanna , Dovbnia Sofia , Malysheva Daryna
Published: April 2023

The aim of the article is to conduct a comparative analysis of the socialization practices of preschoolers with general speech underdevelopment in Ukrainian and Swedish preschool educational institutions. The research methodology involved the gradual application of a set of interrelated methods, such as theoretical analysis, systematization, and generalization of data from general and specialized psychological-pedagogical and methodological literature on the researched problem. The findings suggest that there are differences in socialization practices between the two countries: Ukrainian preschool educational institutions focus more on discipline and obedience, while Swedish institutions prioritize play and collaboration. The study concludes that socialization practices in preschool educational institutions play a significant role in supporting the development of social skills among preschoolers with general speech underdevelopment.
Analysis of the effectiveness of the implementation of digital technologies in the educational process of medical HEIs: challenges, optimization
Authors: Vasianovych Ihor , Тatarina Olha , Lenha Evelina , Ruda Oksana , Vainahii Olha , Dymar Nataliia
Published: April 2023

The COVID-19 pandemic has led to the more intensive use of digital technologies in higher medical education. The purpose of the study was to analyze the effectiveness of the implementation of digital technologies in the educational process of Ukrainian medical universities, to identify the current challenges e-learning faces, and to propose potential ways of optimization. General scientific methods (for example analysis, synthesis) specific pedagogical methods (specification, abstraction, comparison forecasting) were used for the research. The results outline the main advantages of using digital technologies in the medical higher school system. Attention is also drawn to the main challenges that have a certain negative impact on the educational process. Among the latter, problems with the practical training of future doctors were noted since distance learning does not provide an opportunity to fully implement skills building component. The results also highlight possible ways to solve the problems of using digital technologies in medical higher education institutions. It is proposed to introduce to use not only distance learning technologies, but to combine them with the traditional approach and independent learning. It is emphasized about further studies, as empirical measurements of the effectiveness of distance education in the medical field. And, this effectivenessstill needs to be ultimately proven.
Intensification of sport activities in the process of training higher education seekers of various specialities
Authors: Dzhym Viktor , Saienko Volodymyr , Pozdniakova Olena , Zhadlenko Iryna , Kondratenko Viktoriia
Published: April 2023

The academic work aims to provide an assessment of scientific studies and to know the relevant practical aspects of the activation of the process of sports activities of higher education applicants of technical and humanitarian specialties. In the course of writing this academic article, analysis, synthesis, abstraction and comparison were used to characterize the scientific sources on the subject of sports activities in the training of applicants for higher education. In the course of the research, the main theoretical requirements for effective physical training of students of higher educational institutions of various specialties were characterized, as well as certain practical aspects of the individual components of this process were clarified.
The formation of digital competence by means of information and communication technologies among students of higher education
Authors: Рakhomova Tetiana , Hryhorieva Viktoriia , Omelchenko Anetta , Kalenyk Mykhailo , Semak Liudmyla
Published: April 2023

The increasing digitalization in all spheres of human activity demands the improvement of digital competence in the educational field. This article examines how information and communication technologies (ICT) can help form the digital competence of higher education students, enhancing their skills in everyday, professional, and educational activities. The study focuses on the development of digital competence in university students through the use of ICT. The objective is to create an effective policy for the development of students' digital competence through the use of information technologies applicable in the educational process. The study's methodology includes outlining the key principles of digital competence, the current state of digital skills development, and the existing means for their development, as well as analyzing the organization of the educational process with the support of ICT. The findings of the study can be used to develop internal policies in universities, improve the skills of teaching staff, and allocate additional time to disciplines requiring attention to the study of digital tools applicable in practice.
Developing a FIP handbook for implementing competency-based education in pharmacy education
Authors: Arakawa Naoko , Akel Marwan , Anderson Claire , Bajis Dalia , Darwish Rula , Koster Andries , McMullen Jessica , Morris Marilyn
Published: April 2023

Competency-based education (CBE) is a viable educational approach to close a training gap between ever-changing health challenges and pharmacy and pharmaceutical education curricula. However, the implementation of CBE into initial professional education and training (IPET) for pharmacists is slow. Thus, the development of a handbook to guide academics, educators, and practitioners in implementing CBE would be beneficial. This paper describes the process of developing a handbook to support educators in implementing CBE principles in IPET for pharmacists and pharmaceutical scientists. The project involves three phases: (1) a systematic review, (2) a global survey, and (3) the development of a handbook. The handbook provides guidance and a stepwise approach to implementing CBE in pharmacy curricula, which is particularly useful in resource-limited settings where curriculum overhaul using CBE principles might be challenging.
Mental health assessment of Lebanese pharmacy students after returning to school post-COVID-19: A cross-sectional study
Authors: Fadel Sarah , Fahda Sarah , Akel Marwan , Rahal Mohamad , Bou Malhab Sandrella , Haddad Chadia , Dimassi Ahmad
Published: April 2023

Background: The shift from normalcy caused by COVID-19 changed the lives of students globally. This study aims to assess the psychiatric symptoms and identify risk factors contributing to psychological distress in Lebanese pharmacy students after returning to school following COVID-19.
Methods: An online cross-sectional study was conducted from 1 February to 30 March 2022 among Lebanese pharmacy students in Lebanon. Three validated scales were used to assess the mental health of the participants.
Results: Of the total 866 participants, 41.8% had severe/extremely severe anxiety, 30.7% depression, 28.5% had stress, 27.7% had moderate/severe insomnia, and 45.5% had PTSD.
Conclusion: This study revealed high levels of psychological distress in Lebanese pharmacy students after returning to school following COVID-19, highlighting the importance for faculty and educators to prioritise students by maintaining open communication and addressing their academic and personal needs. Further studies are warranted to confirm these results and check whether these symptoms are still ongoing.
An Extensive Review on Cancer Detection using Machine Learning Algorithms
Authors: Rajdeep Dey  , Sayantika Bose  , Nandini Ghosh  , Shamba Chakraborty  , Avijit Kumar Chaudhuri  , Sulekha Das
Published: April 2023

Machine Learning (ML) is a specific type of artificial intelligence that allows systems to learn from data and detect patterns without much human intervention. As technology expands, machine learning provides an exciting opportunity in the health sector to improve the accuracy of diagnoses, personalise health care. Cancer has been characterised as a heterogeneous disease consisting of many different subtypes. In cancer research, it has become a necessity to diagnose and prognosis the type of cancer as early as it can facilitate the subsequent clinical management of patients. To accomplish the detection of cancer properly there are certain techniques in Machine learning which have been widely applied in cancer research for the development of predictive models, resulting in effective and accurate decision making. SVM, KNN, DT, LR, CNN, ANN, RF, MLP etc are such types of techniques in ML to model the progression and treatment of cancerous conditions. Apart from ML techniques there are certain image processing tools that are being introduced to detect cancer. Getting a clear cut classification from a biopsy image is an inconvenient task as the pathologist must know the detailed features of a normal and the affected cells. In this paper we are going to review the effectiveness of these various kinds of ML approaches to detect different types of cancer in some previous research papers which have already been done. The analyses and assessment techniques of the selected papers are discussed and an appraisal of the findings presented to conclude the article.
Prediction of death rate among COVID-19 patients in the age group of 10 to 19 yrs. using machine learning
Authors: Debanjan Paul  , Mayurima Sarkar  , Avijit Kumar Chaudhuri  , Sulekha Das  , Moumita Chakraborty
Published: April 2023

COVID-19, a contagious disease which resulted in a worldwide pandemic just like “The Great Plague of Marseille” in 1720, “The First Cholera Pandemic” in 1820, and “The Spanish Flu” in 1920, claimed many lives. In December 2019 this disease was identified in the Chinese city Wuhan. After that researchers have found many relations in the ethnicity, occurrence, symptoms, severity, age and death. The study of these factors and their co-relation has helped in identifying who are at a greater risk of the disease and its repercussions. In this paper, authors have predicted the death rate of COVID-19 patients (Sex, Current Status, ICU, Medical Condition, Hospitalization) in the age group 10-19 years. Data has been analysed through Logistic Regression Analysis (LR). The proposed model is tested on the “COVID-19_Case_Surveillance_Public_Use_Data” from the UCI Machine Learning Repository.