bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Micro-Weddings Concepts: A Synergy of Values for VFR Tourism in Malaysia and Indonesia
Authors: Aminudin Norliza , A Jamal Salamiah , Kausar Devi Roza , Delia Risa
Published: October 2022

Micro weddings have replaced large weddings during the Covid-19 pandemic. In a culture where weddings celebration is significant, the foregoing of VFR, music, traditional foods, and gifts are considered a huge sacrifice for both the host and guests. The pandemic has forced the number of attendees to be reduced, from only online participation to a micro wedding. This study analyses a celebrated event for Muslims in two Southeast Asian countries: Indonesia and Malaysia. It explores the guest perceptions, expectations, satisfaction, and experiences during the event. A qualitative method utilizing thematic analysis generated four themes: functional, social, price, and emotional values.
Keywords: Micro-wedding; pandemic; perceived value; guest experience
eISSN: 2398-4287 © 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians), and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v7i21.3712
Challenges of SME in The Tourism Industry: A review
Authors: Md Ramli Adilah , Asby Putriku Nuraishah Khairanni , Mohd Noor Harifah , Afrizal Teuku
Published: October 2022

One of the local economies in the tourism industry is small and medium entrepreneurs (SMEs).In 2020, data on the tourism industry worldwide decreased because of restrictions on the entry of tourists. This study aims to dig up on the challenges of SMEs through literature studies. The method used is to review and analyze all extant articles published in Google Scholar from 2017 to 2021. Articles will be analyzed by the keywords: SMEs, Challenge, and Tourism. Based on the findings, the challenges faced by SMEs are categorized into internal and external factors such as lack of knowledge and government.
 
Keywords: SME, Tourism, Challenge, Literature Review
eISSN: 2398-4287 © 2022. Adilah Md Ramli, Putriku Nuraishah Khairanni Binti Asby, HarifahMohd Noor, Teuku Afrizal. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians), and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v7i21.3721
Effectiveness of Manual Therapy on Pain, Disability, and Quality of Life for Elderly with Chronic Low Back Pain
Authors: Zahari Zarina , Amir Atiqah , Chua Siew Kuan , Amanati Suci
Published: October 2022

Background Nowadays, manual therapy (MT) is used in treating LBP. However, the evidence of its effectiveness is inconclusive. Objectives To identify the effect of MT on pain, physical function, disability, QOL, and psychological aspects for the elderly with chronic LBP. Methods Electronic searching between the years 2012-2022 was used to retrieve articles. The assessment for quality used McMaster Critical Review Form for Quantitative Studies. Findings Only 3 articles met the inclusion criteria. Implications MT effectively improves pain, physical function, disability, QOL, and psychology among the elderly with LBP. Nevertheless, further investigation is needed to gain robust evidence for clinical practice.
Differences in Critical Thinking and Decision Making among Critical Care and Non-Critical Care Nurses
Authors: Mohamad Norfidah , Abdul Mulud Zamzaliza , Abd Rahman Siti Faziratul Hanim , Abiyoga Aries
Published: October 2022

Critical thinking and decision-making are essential for nurses to identify and analyze judgments for nursing care. Hence, this study aims to determine critical thinking and clinical decision-making among critical and non-critical care nurses. A cross-sectional study was conducted among 237 nurses using a self-administered questionnaire. This study discovered that critical and non-critical care nurses had a modest level of critical thinking and clinical decision-making. The findings of this study can serve as a guide for nursing administration employees in implementing effective techniques to enhance the critical thinking skills of nurses in on-the-job training and orientation programs for nursing staff.
Effects of Malaysian Cognitive Stimulation Therapy (CST-M) for older people with mild dementia
Authors: Dahlan Akehsan , Ungku Mohd Zam Ungku Ahmad Ameen , Kandayah Thinakaran , Nurhidayah Ninik
Published: October 2022

Older people with dementia often deteriorate cognitive functions, which may lead to difficulty performing daily activities. One of the best non-pharmacological treatments for dementia is Cognitive Stimulation Therapy (CST), developed in the United Kingdom. The study aims to determine the effect of the Cognitive Stimulation Therapy - Malaysian version (CST-M) on cognitive functions. The results of this randomised controlled trial indicate a significant difference in cognitive functions among participants in the experimental group. CST-M should be encouraged as a standard treatment for older people with dementia in Malaysia.
Exploring the influence of e-Service Quality toward Customer Engagement Behavior via PLS-SEM: Findings from a hotel's customer perspective
Authors: Mohd Ridzuan Nur Amira , Hamid Rasidah , Azman Ong Mohd Hanafi , Pratiwi Ilma Andriasri
Published: October 2022

Covid-19 has a significant impact on the hotel's operations. The reopening process has begun, especially on the hotel website. Therefore, the hotel industry must understand the need to influence customers' choices through advanced I.T. This study is intended to explore the effect of t e-service quality on customer engagement behaviors via the SEM method with the PLS estimation technique with 247 respondents. The findings indicate that system availability is the most significant influence influencing customer engagement behaviors, followed by system efficiency, system privacy/security, and system fulfillment. This finding will help the hotel's manager boost customer engagement.
Myofascial Release on Pain and Function in Adults with Low Back Pain: A systematic review
Authors: Chua Siew Kuan , Shaifuddin Shazreen , Zahari Zarina , Aras Djohan
Published: October 2022

Poor posture in sitting and standing exerts stress on the spine muscle leading to non-specific low back pain (LBP). Myofascial release (MFR) on the back and leg muscles may reduce fascial tension in an individual with LBP is unclear. This review describes the effects of MFR on flexibility, pain, disability, and stress level among non-specific LBP individuals. The findings showed that the direct or indirect apply MFR on the back or lower limbs improve flexibility, pain, and disability. However, insufficient information on stress levels. The MFR therapy is recommended to enhance low back pain rehabilitation.
Visit Types in Primary Care With Telehealth Use During the COVID-19 Pandemic: Systematic Review
Authors: Ward Kanesha , Vagholkar Sanjyot , Sakur Fareeya , Khatri Neha Nafees , Lau Annie Y S
Published: October 2022

Background

Telehealth was rapidly incorporated into primary care during the COVID-19 pandemic. However, there is limited evidence on which primary care visits used telehealth.

Objective

The objective of this study was to conduct a systematic review to assess what visit types in primary care with use of telehealth during the COVID-19 pandemic were reported; for each visit type identified in primary care, under what circumstances telehealth was suitable; and reported benefits and drawbacks of using telehealth in primary care during the COVID-19 pandemic.

Methods

This study was a systematic review using narrative synthesis. Studies were obtained from four databases (Ovid [MEDLINE], CINAHL Complete, PDQ-Evidence, and ProQuest) and gray literature (NSW Health, Royal Australian College of General Practitioners guidelines, and World Health Organization guidelines). In total, 3 independent reviewers screened studies featuring telehealth use during the COVID-19 pandemic in primary care. Levels of evidence were assessed according to the Grading of Recommendations Assessment, Development, and Evaluation. Critical appraisal was conducted using the Mixed Methods Appraisal Tool. Benefits and drawbacks of telehealth were assessed according to the National Quality Forum Telehealth Framework.

Results

A total of 19 studies, predominately cross-sectional surveys or interviews (13/19, 68%), were included. Seven primary care visit types were identified: chronic condition management (17/19, 89%), existing patients (17/19, 89%), medication management (17/19, 89%), new patients (16/19, 84%), mental health/behavioral management (15/19, 79%), post–test result follow-up (14/19, 74%), and postdischarge follow-up (7/19, 37%). Benefits and drawbacks of telehealth were reported across all visit types, with chronic condition management being one of the visits reporting the greatest use because of a pre-existing patient-provider relationship, established diagnosis, and lack of complex physical examinations. Both patients and clinicians reported benefits of telehealth, including improved convenience, focused discussions, and continuity of care despite social distancing. Reported drawbacks included technical barriers, impersonal interactions, and semi-established reimbursement models.

Conclusions

Telehealth was used for different visit types during the COVID-19 pandemic in primary care, with most visits for chronic condition management, existing patients, and medication management. Further research is required to validate our findings and explore the long-term impact of hybrid models of care for different visit types in primary care.

Trial Registration

PROSPERO CRD42022312202; https://tinyurl.com/5n82znf4
Automatic Screening of Pediatric Renal Ultrasound Abnormalities: Deep Learning and Transfer Learning Approach
Authors: Tsai Ming-Chin , Lu Henry Horng-Shing , Chang Yueh-Chuan , Huang Yung-Chieh , Fu Lin-Shien
Published: October 2022

Background

In recent years, the progress and generalization surrounding portable ultrasonic probes has made ultrasound (US) a useful tool for physicians when making a diagnosis. With the advent of machine learning and deep learning, the development of a computer-aided diagnostic system for screening renal US abnormalities can assist general practitioners in the early detection of pediatric kidney diseases.

Objective

In this paper, we sought to evaluate the diagnostic performance of deep learning techniques to classify kidney images as normal and abnormal.

Methods

We chose 330 normal and 1269 abnormal pediatric renal US images for establishing a model for artificial intelligence. The abnormal images involved stones, cysts, hyperechogenicity, space-occupying lesions, and hydronephrosis. We performed preprocessing of the original images for subsequent deep learning. We redefined the final connecting layers for classification of the extracted features as abnormal or normal from the ResNet-50 pretrained model. The performances of the model were tested by a validation data set using area under the receiver operating characteristic curve, accuracy, specificity, and sensitivity.

Results

The deep learning model, 94 MB parameters in size, based on ResNet-50, was built for classifying normal and abnormal images. The accuracy, (%)/area under curve, of the validated images of stone, cyst, hyperechogenicity, space-occupying lesions, and hydronephrosis were 93.2/0.973, 91.6/0.940, 89.9/0.940, 91.3/0.934, and 94.1/0.996, respectively. The accuracy of normal image classification in the validation data set was 90.1%. Overall accuracy of (%)/area under curve was 92.9/0.959..

Conclusions

We established a useful, computer-aided model for automatic classification of pediatric renal US images in terms of normal and abnormal categories.
Звернення головного редактора
Authors: Nikonov V.V.
Published: October 2022

No abstract
Впровадження концепції безперервної професійної освіти для лікарів анестезіологів, неврологів і нейрохірургів
Authors: Dziak L.A. , Klygunenko O.M. , Kravets O.V. , Zozulya O.O.
Published: October 2022

У статті поданий огляд літератури та дані власного досвіду в галузі післядипломної освіти лікарів у сучасних умовах. Безперервний професійний розвиток фахівців у сфері охорони здоров’я — це постійний процес навчання та вдосконалення професійних компетентностей фахівців після здобуття ними вищої освіти у сфері охорони здоров’я та проходження післядипломної освіти в інтернатурі. Головною відмінністю безперервної медичної освіти (БМО) від традиційної є проведення освітніх заходів без орієнтації на якусь навчальну програму. Донедавна ми ще проводили навчання за структурованими програмами, акредитованими МОЗ України, але зараз вже впроваджені вузькотематичні курси, що враховують потреби охорони здоров’я регіону. Такі тематичні курси з можливістю поглибленого процедурного навчання дозволяють підвищити компетентність лікарів різних спеціальностей за темами, актуальними для охорони здоров’я області. Поєднання нами двох освітніх систем дозволило підняти результативність навчання з 4-го рівня (компетентність) до 6-го рівня (здоров’я пацієнта) знань у піраміді БМО, що підтвердилося підвищенням ефективності атестації лікарів анестезіологів, неврологів та нейрохірургів, що проводиться раз на 5 років МОЗ України на регіональному та національному рівнях.
Tourism Intention of People Susceptible to Covid-19 in The New Normal
Authors: Wardhani Ikasari Kusuma , Kusworo Hendrie Adji , Widiyastuti Dyah
Published: October 2022

COVID-19 pandemic has triggered a fundamental challenge to tourism, that is mobility. While research on tourism intention have been growing since the beginning of the pandemic, there was a lack of attention on discussion about people who face less opportunity for tourism due to their vulnerable physical conditions or people at-risk to COVID-19. Therefore, this research purported to reveal the influence of tourism constraints on tourism intention of people categorized as physically vulnerable to COVID-19 in the new normal era. Data collection was conducted through an online survey to citizens of Jakarta belonging to middle age and elderly group from end of June to September 2021. Multiple regression analysis with SPSS is used to test the relationship between tourism constraints and tourism intention, and analyze data of 337 respondents. The study showed that tourism intention of people at-risk from COVID-19 can be classified as high with intrapersonal constraints being the only significant constraints. This implies that the significant effect of intrapersonal constraints is not powerful enough to reduce the tourism intention of people susceptible to COVID-19.
Disfungsi Badan Usaha Milik Desa (BUMDes) dalam Pengembangan Otonomi di Wilayah Perbatasan
Authors: Haryaningsih Sri , Andriani Farah Devi , Patriani Ira
Published: October 2022

The stagnation experienced by BUMDes has not received serious attention from the government, even though BUMDes as a support for people's lives in rural areas need to be empowered to build village autonomy, especially in border areas. This paper aims to explain the complexity and dysfunction of BUMDes in achieving the goals of village autonomy. The data of this study were based on qualitative research collected through observation, interviews, and documentation studies. The results of the study showed that the limited space for community participation in planning and implementing policies is a factor that causes BUMDes to stagnate. In addition, the dysfunction of BUMDes occurs because the orientation of activities is more economic and political than community interests. Government policies that are not accommodating to the interests of villages in border areas further hamper the development of BUMDes. The solution that can be done is the cooperation of all parties in carrying out policies and a joint commitment to support village autonomy starting from the central, regional, and rural governments. Thus, the government's target to present a prosperous and empowered village face can be realized
Limnological Investigations of Sewage Stabilization Ponds at Sewage Treatment Plant in Bikaner (NW Rajasthan)
Authors: Kumar Hemant , Khatri Anand Kumar
Published: October 2022

Abstarct: Geographically Bikaner has four natural slopes, one towards the vallabh garden area, where the three anaerobic and two aerobic stabilization ponds of sewage treatment plant are situated in the North –West part of the Rajasthan. The Thar desert lies which is characterized by typical arid conditions like scarcity of water, low rainfall, intense radiations, violent winds, high temperature fluctuations and dust storms. This paper is based on the chemical limnological study of three anaerobic and two aerobic stabilization ponds of sewage treatment plant. The study was carried out for a period of 15 months from March 2010 to May 2011. The chemical parameters measured include pH, EC (electrical conductance), TDS (total dissolve solids), and Free CO2. The parameters of three anaerobic stabilization ponds of water was ranged pH (6.7 to 8.2), EC (1.5 mmhos/cm to 2.0 mmhos/cm), TDS (960 mg/l to 1280 mg/ l), Free CO2 (172 mg/l to 294 mg/l) and two aerobic stabilization ponds of water was ranged pH (7.3 to 8.4), EC (1.3 mmhos/cm to 1.8 mmhos/cm), TDS (832 mg/l to 1152 mg/ l) and Free CO2 (152 mg/l to 270 mg/l) were recorded.
Automated Generation of Summary in Six Different Ways from Any Paragraph and Automated Generation of Fill in the Blanks from Any Paragraph
Authors: Durve Rutvik Rajiv
Published: October 2022

Abstract: Many students finds difficult to read the entire contents during the examination and hence fail to write in the exams too. However, it is required to build the system that can overcome their problems. This paper talks about how to do summary of text based on the Text Summarization algorithm and various different models. For example, the alphabet is the simplest structure, in that it is a collection of letters that can form strings called words. A formal language is one that has regular, context-free, and formal grammar. In addition to the development of computer sciences as a whole, artificial intelligence’s advancements also played a role in our continuing understanding of NLP.
Real-time Telugu Sign Language Translator with Computer Vision
Authors: Dusa Varshini , Prabhanjan Satya Shodhaka R , Chatragadda Sharon Carlina , Bandaru Sravani , Jakkanapally Ajay
Published: October 2022

Abstract: Sign language is the basic communication method among hearing disabled and speech disabled people. To express themselves, they require an interpreter or motion sensing devices who/which converts sign language in a few of the standard languages. However, there is no system for those who speak in the Telugu language and hence they are forced to speak in the national language over the regional language of their culture along with the same issues of cumbersome hardware or need for an interpreter. This paper proposes a system that detects hand gestures and signs from a real-time video stream that is processed with the help of computer vision and classified with object detection YOLOv3 algorithm. Additionally, the labels are mapped to corresponding Telugu text. The style of learning is transfer learning, unlike conventional CNNs, RNNs or traditional Machine Learning models. It involves applying a pre-trained model onto a completely new problem to solve the related problem statement and adapts to the new problem’s requirements efficiently. This requires lesser training effort in terms of dataset size and greater accuracy. It is the first system developed as a sign language translator for Telugu script. It has given the best results as compared to the existing systems. The system is trained on 52 Telugu letters, 10 numbers and 8 frequently used Telugu words.
Seismic Analysis and Modelling of Grid Slab and Flat Slab of G+14 R.C. Framed Structure using ETABS
Authors: Chaturvedi Amaresh , Parihar Rajeev Singh , Jha Abhay Kumar , Kumar Barun , Misra Rajesh
Published: October 2022

Abstract: These days, choosing the right kind of structure for a given function is crucial for design engineers. In some cases, grid structures and slab structures demonstrates to be more advantageous than the traditional RC Framed Buildings. Architectural features, as well as the adaptability of the use of space inside the buildings, the ease of formwork, etc. plays a significant impact in choosing the design criteria even despite the fact that the traditional method naturally offers the improved resistance against earthquakes. An attempt is made in this Present research to designed and evaluate the processes and results of the Flat Slab and Grid Slab RC frame slab, under earthquake zone V. The E-Tabs 2016 and IS Code 456-2000 is used for modes. G+14 Buildings with multiple stories are selected, designed, and analysed for earth quake zone V and D.L. and L.L.)
Robot Operating Systems (ROS): The Fundamentals of ROS and Its Remarkable Performances in the World of Drones
Authors: Janavi Koonamneni , Teja Ambarapu Rahitya
Published: October 2022

Abstract: A structured communication mechanism is offered by the open-source operating system ROS. With the integration of its framework and toolkits, and a sophisticated operating system for software development, robot deployment is effective. The development of the unique robotic drone applications and a thorough description of how to program the drone using Ros are covered in this paper's brief discussion of the evolution of the Robot Operating System (Ros). Later in the article, the implementation of using a motion controller to control a drone's motion with basic hand motions is shown. However, there has been a significant increase in the commercial use of drones recently, and many drones have invaded public spaces, potentially invading people's right to privacy. To correct this mistake, we have used the ROS to deploy a drone that does not intrude in forbidden places.
Intrusion Bit Detection in Data Packet Transmitted Over Covert channels using K-NN Machine Learning Algorithm
Authors: Kushwaha Raju Singh
Published: October 2022

bstract: K-Nearest Neighbour is one of the simplest Machine Learning algorithms based on Supervised Learning techniques. The algorithm assumes the similarity between the new case/data and available cases and put the new case into the category that is most similar to the available categories. K-NN algorithm stores all the available data and classifies a new data point based on the similarity. This means when new data appears then it can be easily classified into a well good category by using an algorithm. This algorithm can be used for Regression as well as for Classification but mostly it is used for Classification problems. If the encrypted data is transferred over the covert channel, the number of intruders, cryptanalysis attack and want to know data pattern by analysing the data bit pattern. If the intruder inserts any bit inside the data bit transferred to the receiver, then the receiver encryption system detects this bit and neglects this data for the decryption process.
Planning Crop Production with the Use of Digital Technologies
Authors: Alt V. V. , Isakova S. P.
Published: October 2022

Agricultural production is shown to be associated with land distribution, variety of agricultural technologies, climatic variability, information diversity, complex algorithms for strategic and tactical decision making. It was noted that the solution to the problem of production planning implies systematizing and structuring the information about technological operations, identifying features and working out parameters for technology selection (adjustment), modeling the agricultural technological process, and the creation of automated information support. The emphasis is placed on the relevance of using modern computers and advanced digital technologies for entering and processing large amounts of information, and visualization of results. (Research purpose) To develop software and technological support enabling the selection of options for technologies adjusted to a particular farm conditions. (Materials and methods) The software was tested in a case of the southern taiga-forest zone of the Novosibirsk region. The process of choosing technologies was studied when cultivating grain crops. A complex of tillage technologies was considered for grain crop cultivation, which ensures minimizing the impact of limiting factors on the yield. Based on the assessment results, invariable and variable factors were identifi ed. The methods used are as follows: information and analytical analysis of materials, a systematic approach, and software development methodologies. (Results and discussion) With the help of the software module, technology options were developed being adjusted to the natural and production conditions of the economy. Registers for technological operations and application conditions were taken as the source material for the formation of options. Two options for selecting technologies were obtained. (Conclusions) As a result, a software module was developed enabling the selection of agricultural technologies based on the thorough accounting and operational processing of information that is used to characterizing the specifi c conditions of the economy, which makes it possible to increase the effi ciency of crop production management and the competitiveness of an agricultural enterprise.
Substantiation of the Design and Layout Scheme for the Gravity-Pneumatic Soybean Seed Cleaner
Authors: Khamuev V. G. , Gerasimenko S. A.
Published: October 2022

It is shown that scientifi c research into the intensifi cation of soybean seed separation processes is necessary for developing new type purifi cation technologies that eliminate the shortcomings of traditional machines, as well as achieving more favorable technical and economic indicators of grain cleaning equipment. (Research purpose) To substantiate the design parameters of a cleaning and sorting plant for highly efficient separation of soybean seeds. (Materials and methods) We used a developed prototype model of the plant for cleaning soybean seeds, consisting of a gravity column and a pneumatic cleaning and sorting channel. The number of combs in the gravity column and the gap between the comb bars were substantiated. Subject to different supply of material, the completeness of separating a large impurity was determined in a gravity column, a light impurity – in the first section of the channel, soybean halves – in the second section of the channel, small and puny soybean seeds – in the third one. (Results and discussion) The optimal number of combs for the gravity column was set to 10 pieces with a gap between the comb bars of 10 millimeters, thus providing the separation effi ciency of 99.3 percent. It was obtained that the optimal ratio between the width of the narrowing partition and the 50-millimeters depth of the channel section equals 0.37. The width of the narrowing partitions was calculated to be 55.5 millimeters; the optimal supply of soybeans is 2.5 tons per hour, thus providing the separation completeness in the gravity column of no less than 95 percent, and that in the pneumatic channel of no less than 98 percent. (Conclusions) It was determined that the intensifi cation of the soybean seed separation process is possible by the combined use of a gravity column and a pneumatic separating device, which can increase the productivity and effi ciency of soybean cleaning by 20 percent or more.
Justifying the Parameters for an Unmanned Aircraft Flight Missions of Multispectral Aerial Photography
Authors: Kurbanov R. K. , Zakharova N. I.
Published: October 2022

The paper shows the possibility of collecting multispectral and RGB data on the crop condition using an unmanned aircraft. The use of several programs for creating a flight mission is likely to lead to the inefficient use of the unmanned aircraft resources. (Research purpose) To calculate the parameters of aerial photography with multispectral and RGB cameras to enable the improved efficiency of unmanned aircraft resources. (Materials and methods) The paper studies the specifi cations of RGB and multispectral cameras installed on the drone. The research uses the results of scientifi c research on the calculation of aerial photography parameters such as longitudinal and transverse overlap, as well as the flight speed of an unmanned aircraft. (Results and discussion) It is established that the calculated values of the longitudinal and transverse overlap for the Zenmuse X4S RGB camera, as well as the unmanned aircraft fl ight speed during the joint aerial photography with a multispectral camera, make it possible to use standard mobile applications to create a flight mission. (Conclusions) It is determined that the obtained values guarantee the creation of high-quality digital maps. The parameters for the flight mission are calculated ensuring the effi cient exploitation of the unmanned aircraft resources, using simultaneously the Zenmuse X4S RGB camera and six multispectral cameras on board the unmanned aircraft.
Deformation of Precision Parts in Diesel Fuel Equipment During Diffusion Metallization
Authors: Erokhin M. N. , Kazantsev S. P. , Pastukhov A. G. , Skorokhodov D. M. , Logachev K. M.
Published: October 2022

The deterioration of the plunger working surfaces and sleeve worsens the economic and environmental performance of the diesel engine. Therefore, restoring the performance of worn plunger pairs with an increase in their wear resistance is economically feasible. The problem is proposed to be solved by the method of diﬀusion metallization to obtain hardening coatings based on iron carbides, nitrides and borides and alloying elements. (Research purpose) To evaluate the eﬀect of temperature regimes on the deformation of the plungers during diﬀusion boriding. (Materials and methods) The following parameters of the technological process are accepted: the composition of the powder mixture, the temperature and exposure time, the cooling time of the containers, the thickness of the coating, the deﬂection of the part. The materials under research are 45steel, KhVG steel, 25Kh5MA steel after nitriding in dissociated ammonia at the fuel equipment manufacturer. (Results and discussion) The thickness of the boride layer obtained after 8-hour boriding is 250; 215 and 170 micrometers, respectively. It is found that every 2 hours of the process result in an average layer increment of 40 microns. The average deﬂection of the plungers, exposed to 2-hour and 6-hour boriding, is 9.8 and 12.7 micrometers after the 8-hour cooling of containers. It is found that an increase in the cooling rate of the container leads to an increase in the warping of the plungers up to 35 microns. For uniform heating, it is recommended to use containers containing no more than 100 plungers. (Conclusions) The main reason for the deformation (deﬂection) of plungers after diﬀusion metallization is detected to be the relaxation of internal stresses in the core of the part as a result of structural changes in the steel. It is established that the minimum cooling time of the containers together with the furnace should be at least 8 hours. In this case, the deﬂection does not exceed 20 micrometers. It has been made possible to reduce the allowance for mechanical processing of the plunger to 30 microns.
Algorithms for Calculating the Trajectory of Unmanned Aerial Vehicles for Solving Agricultural Problems
Authors: Lebedeva V. V. , Lebedev I. V.
Published: October 2022

The relevance of using unmanned aerial vehicles (UAV) is substantiated in comparison with other methods of aerospace survey. The paper provides examples of tasks requiring the use of UAVs for aerial photography from different heights. It is shown that the introduction of agricultural robots, including UAVs, increases the speed of fi eld work, allows obtaining unique data necessary for the assessment of agricultural territories, crops processing and plant growth stimulation. It is noted that the problem of constructing the movement trajectories of a multirotor UAV for performing agricultural tasks within a minimum time limit remains unresolved. (Research purpose) To reduce the length of the trajectory covering a given area and reduce the flight time of a multirotor UAV, taking into account the analysis of possible obstacles and land plots that are beyond the task scope. (Materials and methods) Geometric methods have been used to calculate the UAV flight trajectory covering a given section, the trajectory of movement in an environment with obstacles to the designated point. Photogrammetry methods have been used for processing aerial photography images when forming an orthophotoplane and a terrain map. (Results and discussion) The trajectory calculated by the developed algorithm proves to meet all the requirements: it is continuous, has a minimum number of turns, it is smoothed, and feasible for a multirotor UAV. (Conclusions) It was determined that according to the proposed algorithm it takes less than 0.05 seconds to calculate the trajectory covering a rectangular section with the sides of 200 by 30 meters. It was found that the trajectory in the fi rst 10,200-square-meter section decreased by 9 percent, and in the second 950,000-square-meter section it reduced by 6 percent, compared with the length of the trajectory built using standard algorithms. The flight time reduced by 32 and 10 percent, respectively. The paper presents the key advantages of using UAV for video shooting such as: guaranteed high resolution of photographic materials and the ability to shoot at a given time, allowing for the crop condition assessment.
The Quality of Strengthening Impregnation of 3D-Printed Parts for Agricultural Machinery
Authors: Kazberov R. Ya. , Tuzhilin S. P.
Published: October 2022

It is noted that the level of mechanical properties of polymer products manufactured with the help of traditional technologies exceeds that of products made by 3D printing. The relevance of studying various methods of strengthening 3D printed products is shown, for example, the method of vacuum impregnation in epoxy compounds. (Research purpose) To determine the dependence between the quality of impregnation of 3D printed parts of agricultural machinery and the viscosity of the impregnating epoxy compound selected. (Materials and methods) The viscosity of the impregnating epoxy compound was changed by adding such diluents as acetone and DEG-1. The viscosity of the compound was measure by a rotational viscometer. The magneto drive pinion of the MTZ tractor starting engine and the auger pin support of the John Deere cutter bar were chosen as the objects for impregnation. The components were produced by a 3D-printer using FDM technology. After impregnation, the products were cut in certain sections to assess the existence of unfilled areas. The amount of resin hardened on the product surface was estimated. (Results and discussion) It has been found that acetone reduces viscosity 2 times more efficiently than DEG-1. Since acetone cost is lower, it was used for the subsequent experiments. For the impregnation of agricultural machinery parts, three levels of viscosity were chosen: the high level, corresponding to the 16 pascal-seconds initial viscosity of epoxy compound; the average level of 8.8 pascal-seconds, corresponding to the injection of 0.5 percent of acetone (by weight); the low level of 6.5 pascal-seconds, corresponding to the injection of 1.5 percent acetone (by weight). It was found that products impregnated with high and low viscosity compounds contained many pores in cross sections and a large amount of compound on the surface. (Conclusions) Based on the results of impregnation, the best composition proves to be that with the epoxy resin viscosity of 8.8 pascal-seconds corresponding to 0.5 percent of acetone (by weight). It is proved that the higher compound viscosity does not allow it to eff ectively penetrate into the product, at a lower viscosity, on the contrary, the compound leaks out of the product after impregnation.
Research Into the Influence of Clinical and Subclinical Mastitis on the Milk Flow Rate of the Yaroslavl Breed Cows
Authors: Pavkin D. Yu. , Khakimov A. R. , Vladimirov F. E. , Yurochka S. S.
Published: October 2022

The process of milking healthy cows and those with mastitis is analyzed in terms of such parameters as average onetime milk yield, milk flow rate, milking duration to assess their diff erences and the need to use alternative milking methods. (Research purpose) To study the impact of mastitis on the milk yield of cows and develop recommendations for milking diseased animals. (Materials and methods) Three groups of animals were formed according to the mastitis test results: the first group included healthy cows, the second one those with subclinical mastitis, and the third one included the cows with the clinical form of the disease. The data were collected by control milkings and the milk flow rate results were recorded every 15 seconds. (Results and discussion) The results revealed significant differences for the tree groups, both in the rate of milk flow (1.90; 0.89 and 0.49 kilograms per minute, respectively) and the duration of milking (281; 375 and 294 seconds, respectively). (Conclusions) The longest milking duration is detected in the case of subclinical mastitis, (375 seconds on average). There is a shift in the peak of the milk flow rate from the second minute of milking to the third in comparison with healthy animals. In the case of clinical mastitis, the milking duration (295 seconds) proves to be less than the subclinical one, while there is practically no peak in the rate of milk flow. It is confirmed that there is a necessity to shift the intensive milking mode by 30-45 seconds for an animal with subclinical mastitis, as well as to use a gentle milking mode for cows with clinical mastitis.
Portable Microcontroller-Based Colorimeter For Determining Plant Development Stability
Authors: Rakutko S. A. , Rakutko E. N.
Published: October 2022

It was shown that the magnitude of fluctuating asymmetry can be used to assess the plant development stability. The shortcomings of the plant physiological state assessment were pointed out, both the visual one and that using the previously created colorimeter. (Research purpose) The study aimed to develop a device for determining the plant development stability by measuring the leaf color. (Materials and methods) The device was tested on cucumber plants grown under different spectra. The surface color was measured on the second and third leaves in the order of their emergence on the plant, to the left and right of the central vein: at the top of the leaf, at the bifurcation of the second veins of the second order, at the base of the leaf. During measurements, the device was brought to the leaf. The principle of the microcontroller-based colorimeter operation was described. (Results and discussion) The asymmetry of the values of the color coordinates of the symmetrical points on the cucumber leaf surface was found to be fluctuating and can be used to assess the plant development stability. The differences in the light environment quality, affecting the plant biometric parameters, are manifested in the asymmetry of the color coordinates of the symmetrical points on the leaf surface and the higher values of growth parameters (in plants under better light environment conditions) correspond to lower values of fluctuating asymmetry. (Conclusions) The developed colorimeter was proved to be compact and ergonomic, easy to manufacture, inexpensive, easy to operate and applicable to the field usage. The device enables to identify differences in the development stability of the plants grown under different light sources. The experimental conditions revealed that the fluctuating asymmetry values were 0.0301 relative units under LEDs and 0.0471 relative units under sodium lamps in the red range. In the green range they were 0.0228 and 0.0305, in the blue one 0.0253 and 0.0416 relative units, respectively.
Developing an Algorithm for Robotic Precision Application of Crop Protection Products
Authors: Mirzaev M. A.
Published: October 2022

The existing range of plant identification methods and tools is considered limited in real agrotechnical tasks. The image parameters tend to differ significantly in applied solutions. (Research purpose) To develop an algorithm for crop plant recognition by a robotic device using a state-of-the-art convolutional neural network (R-CNN) and deep learning technology. (Materials and methods) A robotic device has been developed for variable rate application of plant protection products able to recognize both useful crops and weeds, determine the area of processing, namely the coordinates of the processing center and the processing radius. Mask R-CNN and Deeplabv3 plus segmenting neural networks were chosen for crop (white head cabbage) detection. The network-based algorithm detects, segments, and positions plants based on a dataset collected in the image-mask and COCO dataset formats. The data set was formed by aerial photography using an unmanned aircraft. The original images are taken by Xiaovv HD Web USB 150 degree Full HD 1080P webcam and Logitech C270 HD 720p webcam. The trained neural network for the robotic device was installed on the Nvidia Jetson AGX Xavier platform. (Results and discussion) As a result of assessing the accuracy of the model on the test data, the following values were obtained: the number of plants detected is 98 percent, the accuracy of contour detection is 94 percent. (Conclusions) It is proved that the trained neural network can be applied to any cultivated crops, taking into account the heterogeneity of their location in the field, soil types, and the percentage of weeds. As a result, the model is trained to extract the bounding box coordinates and the object (cabbage) location by pixels with the required accuracy for both synthetic and real data.
Insulin Therapy Increases the Risk of Hypokalemia and Arrhythmia in Diabetic Patients with Coronary Heart Disease: A Retrospective Study in Wahidin Sudirohusodo General Hospital
Authors: Tajuddin Hastuti , Wahyudin Elly , Djabir Yulia Yusrini , Nainu Firzan , Rahman Latifah
Published: October 2022

Background: Cardiovascular disease is the most common cause of morbidity and mortality in diabetic patients. Patients with Diabetes Mellitus (DM) often require insulin therapy to control hyperglycemia, yet, it is associated with the risk of hypokalemia and dysrhythmia. Objectives: To evaluate the prevalence and the risk of hypokalemia and arrhythmia due to insulin therapy in DM patients with Coronary Heart Disease (CHD) comorbidity. Material and Methods: The study was conducted retrospectively based on medical record data from January 2021 to December 2021 in Wahidin Sudirohusodo general hospital. The inclusion criteria include the out-hospital patients diagnosed with DM with CHD comorbidity. The patients were divided into 2 groups, those who received insulin and those who received oral antidiabetic drugs (OAD). Hypokalemia was defined if an electrolyte characterized by a low serum potassium concentration with a normal range of 3.5 – 5.0 mEq/L. Arrhythmia was defined if abnormal changes in a regular heartbeat, including an irregular heartbeat, a skipped heartbeat, a fast heart rate (tachycardia), or a slow heart rate (bradycardia). Results: The data were obtained from 322 patients’ medical record, 161 was treated with insulin, and 161 received OAD. The insulin-treated patients had a significantly lower blood potassium level compared to the OAD group. The insulin group had 63,40% incidents of hypokalemia, while in the OAD group only  16,80% experienced hypokalemia (p<0.05). The presence of arrhythmia was detected in 63,40 % of insulin-treated patients, while only 29,80% had arrhythmia in the OAD group (p<0,05). Conclusions: Insulin Therapy in DM patients with coronary heart disease can increase the incidence of hypokalemia, which may result in arrhythmia in patients with coronary heart disease.
Improved Left Atrial Catheterization Efficiency and Consistency using a novel steerable transseptal puncture sheath
Authors: Janardhan Ajit H. , Berggren Kimberly , Lampert Travis
Published: October 2022

Introduction: While steerable sheaths are widely used to
improve catheter stability and contact force during radiofrequency (RF)
catheter ablation in patients with atrial fibrillation (AF), steerable
sheaths are less commonly used during transseptal puncture. This study
evaluated whether left atrial catheterization efficiency can be improved
using the VersaCross combined steerable sheath and transseptal system
compared to previous standard workflow. Methods: This study
retrospectively analyzed AF ablation performed using the Versacross
Workflow consisting of VersaCross steerable sheath and RF wire for
transseptal puncture and catheter ablation (VCW) to the standard
workflow using a fixed curve sheath with RF needle followed by exchange
for an Agilis steerable sheath for catheter ablation (STW).
Results: Thirty patients underwent RF ablation for paroxysmal
or persistent AF, 15 using the VCW and 15 using the STW. Transseptal
puncture time was 10.8 mins faster with the VCW compared to the standard
workflow (20.9 ± 5.9 min vs. 31.7 ± 15.1 min; p=0.024). Time to left
atrial catheterization was 40% faster with the VCW compared to the STW
(21.3 ± 5.8 min vs. 35.2 ± 14.4 min; p=0.003). Overall procedure time
was 14.2 min faster in the VCW compared to the STW (86.3 ± 16.1 min vs.
100.5 ± 19.3 min; p=0.044). Conclusions: Use of the VersaCross
steerable system significantly reduced time to transseptal puncture,
time to left atrial catheterization, and overall RF ablation time.
Intelligent Ubiquitous Computing and Advanced Learning Systems for Biomedical Engineering
Authors: Chakraborty Chinmay , (GE) Mohammad Khosravi , Garg Lalit , Kaiser M Shamim , (GE) Xingwang Li , Song Houbing
Published: October 2022

The health monitoring for disease diagnosis and prognosis in a desired
smart medical structure is realized by interpreting the health data. The
advances in sensor technologies and biomedical data acquisition tools
have led to the new era of big data, where different sensors collect
massive medical data every day. This special issue explores the latest
development in emerging technologies of biomedical engineering,
including big medical data, artificial intelligence, cloud/fog
computing, federated learning, ubiquitous computing and communication,
internet of things, wireless technologies, and, security and privacy.
The biological wearable sensors can enhance the decision-making and
early disease diagnosis processes by intelligently investigating and
collecting large amounts of biomedical data (i.e., big health data).
Hence, there is a need for scalable advanced learning, and intelligent
algorithms that lead to reliable and interoperable solutions to make
effective decisions in emergency medicine technologies. The optimization
algorithms can be used in order to acquire the sensor data from multiple
sources for fast and accurate health monitoring.