bluuebunny/crossref_metadata_2025 huggingface dataset:
Cardiotrophin-1 as a prognostic biomarker of hypertension and a key regulator of cardiac glucose metabolism
Authors: Dunaieva І.P.
Published: April 2023

Background. Hypertension, type 2 diabetes mellitus (T2DM), and obesity are among the most common diseases in the world, and their growth rates are of a pandemic nature. Since cardiovascular diseases still occupy a leading place in the structure of mortality, the study of biomarkers continues that can be key in the diagnosis of early signs of cardiovascular pathology. Such promising molecule is cardiotrophin-1 (CTF-1). CTF-1 is a protein with a molecular weight of 21.5 kDa, which belongs to the interleukin-6 (IL-6) family. The purpose of this study is to evaluate the circulating level of CTF-1 in comorbid patients with hypertension, and to conduct a comparative analysis of its serum concentration in the presence of various comorbidities. Materials and methods. One hundred and eleven patients with hypertension (men/women— 50/61) aged (54.37±1.18) years and 20 persons of the control group were examined. In the process of examination, they were divided into 4 groups depending on the presence of comorbid pathology: hypertension— group 1 (n=22); hypertension combined with obesity— group 2 (n=30); hypertension and T2DM— group 3 (n=31); hypertension, T2DM and obesity— group 4 (n=28). In all patients, body weight and height were measured, body mass index (BMI) was calculated, glycated hemoglobin (HbA1c) levels, lipid metabolism indicators were determined, systolic and diastolic blood pressure levels were measured. CTF-1 content in blood serum was determined by enzyme-linked immunosorbent assay. Results. A direct correlation of CTF-1 level with weight, BMI, HbA1c level, systolic and diastolic blood pressure was found (p < 0.001). The data obtained prove that CTF-1 can be a trigger for the occurrence of cardiovascular complications, since its level progressively increases with increasing severity of comorbid pathology, and its highest serum concentration is found in patients with hypertension, concomitant T2DM and obesity. The detected changes demonstrate the role of CTF-1, the adipose tissue hormone, in the development of comorbid pathology and make it possible to assert that CTF-1 is a potential biomarker of cardiovascular complications. Conclusions. The level of CTF-1 was significantly higher in patients with hypertension, T2DM, obesity compared to those with hypertension, hypertension and obesity, as well as compared to this indicator in the control group. The concentration of CTF-1 in blood serum positively correlates with the levels of systolic and diastolic blood pressure, body weight, BMI, total cholesterol and HbA1c level. The study of the relationship between the serum level of CTF-1 and metabolic and hormonal indicators in comorbid patients is a promising direction for further research.
Peculiarities of circadian regulation of the thyroid gland
Authors: Boichuk T.M. , Popova I.S.
Published: April 2023

Circadian rhythmicity is an autonomous period of organ cells’ functioning that is controlled by feedback mechanisms and specific genes. The thyroid gland, as a peripheral organ of the endocrine system, is subordinate to the adenohypophysis and pineal gland. Melatonin, as one of the main mediators of circadian influence, is well known for its antitumor and regulatory effects on a number of tissues, but its relationship with the hormone-producing activity of the thyroid gland has not been sufficiently studied. The purpose of the work was to analyze the current data on circadian regulation of the thyroid gland by examining evidence-based scientific publications from open databases over the past five years. Melatonin-producing pineal cells possess the homeotic genes Otx2 and Crx whose deactivation leads to a significant decrease in melatonin production by the pineal gland. In addition to pineal cells, melatonin can be synthesized by adenohypophysis-independent parafollicular cells. The effect of melatonin on thyrocytes is provided by binding to MT1 receptors and affecting the expression of thyroglobulin, RX-8, and TTF-1 (NKX2-1) genes. Under conditions of short photoperiod, melatonin inhibits the production of thyroid-stimulating hormone (TSH) β, which, in turn, acts on hypothalamic tanycytes by regulating the balance of deiodinase (Dio2/Dio3). This leads to a well-regulated seasonal control of the release of the thyroid hormone triiodothyronine. Conclusions. Circadian regulation of thyrocyte activity occurs under the influence of melatonin, which is secreted by pinealocytes and sometimes by parafollicular cells. TSH is secreted with a certain circadian periodicity under the influence of the activation of chronorhythmic genes. Hormone replacement therapy should be aimed not only at restoring the levels of pituitary hormones, but also at restoring the biological rhythm of TSH secretion. Melatonin affects the circadian work of thyrocytes, which is proven by determining the expression of the chronorhythm genes Bmal-1, Dio2, TTF-1. In thyroid pathology, there is a violation of circadian rhythms, a decrease in melatonin levels, and a decrease in the expression of Clock genes.
Evaluation of the Isomerization of α-Pinene Epoxide to Campholenic Aldehyde Using a Catalyst Obtained from Orange Peels (Citrus sinensis)
Authors:   Universidad de Antioquia, Villa Aída Luz , Mediavilla Marta ,   Universidad Central de Venezuela
Published: April 2023

Orange peels (Citrus sinensis) are an abundant lignocellulosic residue that can be used as a carbon source to obtain solids with catalytic potential in the transformation of terpenes and their oxides into value-added products. This research seeks to evaluate the isomerization of α-pinene epoxide to campholenic aldehyde using a catalyst obtained from orange peels. The material OAC-Zn was obtained by activation of orange peel with ZnSO4.7H2O followed by thermal treatment at 500 °C; an additional solid was obtained from orange peel by pyrolysis at 500 °C (OC-500). XRD revealed the presence of ZnO and ZnS in OAC-Zn; TGA analysis indicated thermal stability in OAC-Zn and OC-500 materials; SEM images showed porous surfaces of different morphology, and the presence of microporosity in OC-500 and mesoporosity in the OAC-Zn that was confirmed by physical nitrogen adsorption. The elements C, O, Zn and S was identified in OAC-Zn by EDX analysis. The results of TPD-NH3 showed that the solids contained medium and weak acidity. Campholenic aldehyde was synthesized with a 96 % selectivity over a mesoporous carbonaceous material obtained from orange peels using ZnSO4.7H2O as activating agent
Meeting the Needs of Students with Hearing Impairment Amidst Covid-19 Pandemic: A Systematic Review
Authors: Beciril Ellaine Jane
Published: April 2023

Abstract: This systematic review aims to determine how Special Need Educators address the educational needs of students with hearing impairments during the COVID-19 Pandemic. This review included 15 of 200 studies screened using inclusion and exclusion criteria from 2020 to 2021. The included studies were chosen from the Google Scholar database using the Publish or Perish software and organized using the PRISMA flow diagram. The synthesized data was examined using Braun and Clarkes' six-step thematic analysis, which generated three themes: challenges faced by students with hearing impairment, development techniques and practices, and addressing educational needs, and Meta-theme- Pedagogy Development Program. Amidst the school and teachers' proposals and efforts to teach during the Pandemic, due to challenges, it was still completely inadequate. As a result, it is recommended that both schools and teachers provide more efficient and effective teaching pedagogies, as classes are now held in a face-to-face format to accommodate for the previous two years of distance courses, during which students with hearing impairments' needs were rarely met.
Agrotech the Future of Agriculture
Authors: Tatkari Prem Mukund
Published: April 2023

Abstract: Nowadays ecommerce has influenced a huge agricultural area. The actual need has been felt in the recent pandemic where demand and supply chain was drastically affected.In pandemic the traditional old supply chain method was crucially affected and as a result of that inflation is seen in the price of agro goods.thus this affect the farmers and buyers on a huge scale. Due to lack of knowledge farmers also have incomplete knowledge what to plant in certain region according to the soil.This is where our website Agro-mart comes in action as we are providing a b2b as well as c2c marketplace online by neglecting all the middleman and providing essential goods to farmers at low price also they can directly sell their product to the end buyer and earn profit on a very large scale.This paper is describing the need for a specific type of ecommerce method to overcome this and the factors lacking in this sector . Also Agrotech is a web-based ecommerce website and a Al and Ml platform which will analyze your soil and your environment factors and will help you to increase the production. It will guide you with new emerging technologies and methods of farming. After analyzing different multiclass ml algorithms we have used decision tree ,random forest and svm for the crop recommendation , fertilizer prediction and disease detection respectively.We are not going to stop here, we will add more features such as area wise selling for perishable products as well as.
AI Based E-Mail Scraper and Sending Tool
Authors: Nimase Ketan , Thakur Siddhesh , Gaonkar Sahil
Published: April 2023

Abstract: Our research ‘AI BASED E-MAIL SCRAPER AND SENDING TOOL’ is basically a fast, affordable and easy-to-find marketing and communication solution. Using email cangreatly help businesses as it provides an efficient and effective way to advertise variety of electronic information. Email extractor is a type of software used to extract email address fromonline bases which generate a huge list of email addresses. Even though these extractors can assist multiple genuine purposes such as marketing campaigns, unfortunately they are mostly used to direct spamming and phishing emails. Email filter is a tool to extract emails based on specified criteria. It split up all types of emails such as Gmail, Yahoo Mail in various text files according to their name automatically. Email validator is a toolto check the validation of email existence these means it checks that given mail is originally exist. It checks the username of email in all the mail facility for the existence. Bulk mail sender tool is work on distribution of a lot of mail at once. You drop anemail list to director to send the letter to the user. You can sendmail to a multiple user at once. There is no restriction for this tosend the mails.
Song Classification using Machine Learning
Authors: Dhyani Ritika
Published: April 2023

Abstract: The classification of music by genre is crucial in the modern world since the number of music tracks, both online and offline, is growing quickly. We must appropriately index them in order to have greater access to them. To retrieve music from a vast collection, automatic music genre classification is crucial. The majority of the current methods for categorising music genres rely on machine learning. We give a music dataset with ten distinct genres in this article. The system is trained and classified using a Deep Learning technique. Convolution neural networks are employed in this instance for training and classification. For audio analysis, feature extraction is the most important step. For sound samples, the Mel Frequency Cepstral Coefficient (MFCC) is employed as a feature vector. The suggested technique uses feature vector extraction to categorise music into different genres. Our findings indicate that our system's accuracy level is approximately 76%, which will significantly increase and facilitate the automatic classification of musical genres.
Solar Off-Grid Electric Vehicle Charging Station
Authors: Reddy Hanumantha , B Bhargav , S Sunil , K Santosh Kumar , K Praveena
Published: April 2023

Abstract: Nowadays, there is a great development in electric vehicle production and utilization. It has no pollution, high efficiency, low noise, and low maintenance. However, the charging stations, required to charge the electric vehicle batteries, impose high energy demand on the utility grid. One way to overcome the stress on the grid is the utilization of renewable energy sources such as photovoltaic energy. The utilization of standalone charging stations represents good support to the utility grid. Nevertheless, the electrical design of these systems has different techniques and is sometimes complex. This paper introduces a new simple analysis and design of a standalone charging station powered by photovoltaic energy. Simple closed-form design equations are derived, for all the system components. Case-study design calculations are presented for the proposed charging station. Other important features of an off-grid solar EV charging station might include the use of smart charging technology to optimize charging speed and efficiency, as well as the ability to monitor and control the system remotely. Safety features such as overcharge protection and grounding would also be important considerations. We can visualize the expected results using a Cayenne Software, we can also control the street lighting by Internet of Things. The results show that the charging process of the electric vehicle battery is precisely steady for all the PV insolation disturbances. In addition, the charging/discharging of the energy storage battery responds perfectly to store and compensate for PV energy variations.
Smartphone-based Sickle Cell Disease Detection and Monitoring for Point-of-Care Settings
Authors: M Abiramee , D M Bavasri , A Seenu , L Sharmi Antonyammal
Published: April 2023

Abstract: Sickle cell disease (SCD), a haematological illness that affects people all over the world, can lead to painful episodes, anaemia, organ damage, stroke, and even death. Sub-Saharan Africa and other nations with scarce resources are where it is more prevalent. Traditional laboratory-based diagnostic techniques for SCD are laborious, complicated, and unable to be completed at the point-of-care (POC) and at home. To distinguish between sickled and normal red blood cells (RBCs), optical microscope-based classification and counting requires a large amount of time, expensive setup, and experienced human labour. The need for a POC and home-based test to detect and track SCD and lower mortality in areas with limited resources exists. The effective therapy of SCD can benefit from an early and prompt diagnosis. This article discusses For the purpose of taking RBC photos from the SCD patients under normoxia and hypoxia, we used a smartphone-based image capture technique. To distinguish RBCs from the patient's blood before and after cell sickling, a computer algorithm is created. We acquired the same percentage of sickle cells in blood samples using the developed smartphone-based technology as those obtained using the traditional method (standard microscope). The created testing technique demonstrates the Potential savings from using a smartphone to administer the test could lower the entire cost of diagnosing and treating SCD, making the procedure more useful in environments with limited resources. Our system is very helpful in determining the seriousness of the SCD and does not call for any specific storage requirements. This is the distinguishing benefit of our method over previous hemoglobin-based POC diagnostic methods
Smart Cane: A Machine Learning-Powered Assistive Device
Authors: Sant Suraj , Salunkhe Mihir , Shah Kunj , Kumawat Gaurav , Palinje Prof. Mahalaxmi
Published: April 2023

Abstract: A visually disabled person finds it difficult to find the presence of any obstacles in his approach and it is terrible to look for the exact position of the stick if it is not correctly placed. Therefore, the multifunctional blind stick comes as a planned answer to help visually impaired people in their daily lives, without the help of others. This paper explains the different methods used to detect objects in front of the user.
Role of Inventory Management and Control in A Manufacturing Company
Authors: Salman Mohd , Bhagat Monika , Kumar Neeraj , Wattal Prof. Reeta
Published: April 2023

Abstract: A manufacturing company's performance depends on efficient inventory management and control. Inventory control and management play a crucial role in meeting customer demand, controlling costs, planning production effectively, ensuring quality, and managing cash flow. This paper discusses the role of inventory control and management in a manufacturing company and highlights the key ways in which inventory control and management are important to the success of a manufacturing company. The system's goal is to bridge the substantial gap between inventory management theory and practice and let industrial inventory managers conduct effective and successful inventory management.
Multisensory integration deficits in Schizophrenia and Autism evidenced in behaviour but not sensory related event related potentials
Authors: Toumaian Maida , Covanis Panagiotis , Mantas Asimakis , Karantinos Thomas , Kayas Sergios , Kentikeleni Anna , Vatakis Argiro , Klein Christoph , Smyrnis Nikolaos
Published: April 2023

The process of integrating information from different sensory channels,
known as multisensory integration (MSI) was assessed in two disorders,
Autism Spectrum Disorder (ASD) and Schizophrenia (SCZ). 32 healthy
controls (HC), 35 SCZ patients, and 23 ASD patients performed a
synchronous target detection task using auditory (A), visual (V), and
audiovisual (AV) stimuli, while reaction times (RT) and scalp recorded
electrophysiological (EEG) activity were measured. MSI in the AV
condition resulted in faster and less variable RTs compared to the
unimodal conditions. Using a novel method to identify MSI gain in RT at
the level of the individual subject, MSI gain was observed in 78% of
HC, 26% of ASD, and 48% of SCZ patients. At the neural level, MSI in
the AV condition resulted in larger amplitude of sensory evoked
responses (N1 and P2 compared to the A condition, P1 and N2 compared to
the V condition) and cognitive P3 response (compared to both unimodal
conditions). These neural effects of MSI were not related to the
behavioural MSI gain identified at the individual level. Furthermore,
they could not explain the deficits in behavioural MSI of patient
groups. In conclusion, a robust MSI gain deficit in RT was observed in
both patient groups that was not reflected in early perceptual and
cognitive electro-cortical responses, suggesting that behavioural MSI
deficits in ASD and SCZ may arise at late processing stages such as
response selection.
Emergency supplies transportation robot trajectory tracking control based on Koopman and improved event-triggered model predictive control
Authors: Zhang Yaqi , Tang Minan , Zhang Haiyan , An Bo , Yan Yaguang , Wang Wenjuan , Tang Kunxi
Published: April 2023

In the emergency rescue and disposal of social public emergencies,
supply transportation effectively provides a strong supply foundation
and realistic conditions. The trajectory tracking control of emergency
supplies transportation robot is the key technology to ensure the
timeliness of transportation. In this paper, the emergency supplies
transportation robot is taken as the research object, based on Koopman
operator theory, combined with radial basis function (RBF) neural
network disturbance observer and adaptive prediction horizon
event-triggered model predictive control (APET-MPC) algorithm to
investigate the purely data-driven trajectory tracking control problem
of emergency supplies transportation robot when the model parameters and
models are unknown. Firstly, the Koopman operator is used to establish a
high-dimensional linear model of the robot. Secondly, the RBF neural
network disturbance observer is designed to estimate the disturbance
during the robot operation and compensate it to the controller. Thirdly,
APET-MPC is used to optimize the trajectory tracking control of the
emergency supplies transportation robot to reduce computational
complexity. Finally, the performance of the proposed trajectory tracking
controller is verified by Carsim/ Simulink joint simulation. The
simulation results show that the model established by Koopman operator
theory can achieve the high accuracy approximation of the robot.
Compared with the MPC trajectory tracking controller, the APET-MPC
trajectory tracking controller based on RBF neural network disturbance
observer (RBF-APET-MPC) improves the tracking accuracy of the robot and
reduces the total triggering times of the system by more than 50%.
Hyper-production of porcine contagious pleuropneumonia subunit vaccine proteins in Escherichia coli by developing a bicistronic T7 expression system
Authors: Sun Manman , Gao Xiong , Li An , Ledesma-Amaro Rodrigo , Bai Zhonghu , Yang Yankun , Liu Xiuxia
Published: April 2023

The ApxII toxin and outer membrane lipoprotein (Oml) of Actinobacillus
pleuropneumoniae (A. pleuropneumoniae) are vital vaccine antigens
against porcine contagious pleuropneumonia (PCP), a prevalent infectious
disease in the swine industry worldwide. Previous studies have reported
the recombinant expression of ApxII and Oml in Escherichia coli (E.
coli). However, their yields were not satisfactory. Here, we aimed to
enhance the production of ApxII and Oml in E. coli by constructing a
bicistronic expression system based on the widely used T7 promoter. To
create efficient T7 bicistronic expression cassettes, 16 different
fore-cistron sequences were introduced downstream of the T7 promoter.
The four most potent expression vectors were screened, and the
expression of three vaccine antigens Oml1, Oml7, and ApxII in these four
bicistronic vectors were enhanced compared to the monocistronic control.
Further optimization of the fermentation conditions in micro-well plates
led to improved production of Oml1, Oml7, and ApxII. Finally, the
production yields reached unprecedented levels of 2.43 g/L, 2.59 g/L,
and 1.21 g/L, respectively, in a 5 L bioreactor. These three antigens
also demonstrated well-protective immunity against A. pleuropneumoniae
infection. In conclusion, this study established a highly efficient
bicistronic T7 expression system and achieved the hyper-production of
PCP vaccine proteins. This bicistronic T7 expression system could be a
valuable tool for the improved production of other proteins, especially
recombinant vaccines, in E. coli.
Application security and information privacy of intelligent transportation based on cloud computing
Authors: Koley Mohit , Rai Sourabh , Patel Harsh , Dave Vivek
Published: April 2023

Intelligent Transportation system (ITS) is a system which integrates
various components like decision, control, etc. The automobile industry
is continuously evolving with time and huge industrialist are constantly
working on the development and deployment of new technologies like
self-driving cars, object-detection, etc. Thus, these technologies have
increased the ease and efficiency to travel exponentially. Due to
introduction of new technologies everyday the security has been a rising
concern. The data of each individual is being collected and this data is
vulnerable. Thus, this data has to be protected.
Improved Method for Positioning Crane Grab Boom Corner Points using Hough Transform and K-means Clustering
Authors: Wang Min , Wan Longkun , Zhao Chengli , Zhao Zhangyan
Published: April 2023

To ensure that the crane can smoothly calibrate and align the lifting
rod with the beam body lifting hole, it is necessary to use image
processing technology to locate and detect the corner coordinates of the
crane’s lifting rod. Traditional corner detection methods are not
suitable for this scene. This article proposes a new idea for corner
positioning, which locates corner coordinates through the intersection
of straight lines. Firstly, using the R and G channels of the RGB color
space to construct a grayscale difference map is beneficial for Otsu’s
threshold segmentation; Secondly, this article proposes an optimal
adaptive threshold determination method to filter the number of votes in
the clustering results, eliminate interfering straight lines, and
improve the clustering centroid calculation method based on the weight
calculation formula of different voting proportion, replacing the
original clustering centroid as the basis for line fitting; Finally,
calculate the corner coordinates of the crane’s grab boom based on the
straight line fitting results, and compare the recognition accuracy
under different lighting conditions. This method is significantly
superior to traditional corner detection methods, providing a method
basis for solving the algorithm accuracy and robustness problems of port
cranes under multiple environmental variables.
Calcium iodide mediated coupling of complex fluorooligosaccharides to phenolic peptide
Authors: Liu Pei , Quan Xing , Wei Fangyu , Deng Xianjun , Shen Jie , Cheng Jiansong
Published: April 2023

Besides serving as therapeutic agents and building blocks for
glycoprotein synthesis, homogeneous synthetic glycopeptides also benefit
understanding function of specific glycoform. However, the selectivity
coupling of oligosaccharides to a given peptide remains challenging
despite the fact that the synthesis of structure-defined complex
oligosaccharides has been greatly facilitated by chemoenzymatic based
approaches. Herein, a Ca-promoted glycosylation
approach was developed to exclusively modify phenolic peptide using a
panel of biologically important glycans.
Comparison of Semen Parameters in the Same Patients Before and After Diagnosis of COVID-19
Authors: Cakir C. , Kuspinar G. , Kurt G. , Berber M. , Aslan K. , Kasapoglu I. , Uncu G. , Avcı B.
Published: April 2023

Clinical and histopathological evidence suggest that the male
reproductive system may be negatively impacted in patients with
coronavirus disease (COVID-19). The objective of this study is to
investigate the effect of severe acute respiratory syndrome coronavirus
2 (SARS-CoV-2) on semen parameters by comparing semen analyses before
and after COVID-19 diagnosis in the same patient. We retrospectively
analyzed 342 semen analyses by reviewing medical records. The study
included two groups of patients: (i) those who underwent two consecutive
semen analyses within 6 months, one before (n=114) and one after (n=114)
COVID-19 diagnosis, and (ii) a control group (n=114) that was
age-matched and did not receive a diagnosis of COVID-19. The study
results indicated a significant decrease in semen volume, total sperm
count per ejaculate, progressive motile sperm count, total motile sperm
count, and normal sperm morphology after SARS-CoV-2 infection in
comparison to their respective values before the infection. Subgroup
analyses showed that the duration of COVID-19 diagnosis (short-term vs
long-term) did not impact the changes in semen parameters. However,
fever during the COVID-19 process had a negative effect on semen
parameters, particularly sperm concentration, unlike in patients without
fever. In conclusion, our findings suggest that SARS-CoV-2 infection is
associated with a decline in semen quality, which may potentially impact
male fertility. Furthermore, it’s important to note that the negative
effects on semen parameters may persist in the long-term. Our results
also indicate that fever during active infection could be a significant
risk factor that negatively affects spermatogenesis.
Dynamic cyclic fatigue resistance of ProTaper Next, Twisted File Adaptive, and Reciproc Blue files at different inclined angles simulating intracanal temperature
Authors: Türkyılmaz Ali , CETIN Erhan Mert
Published: April 2023

This study evaluated the influence of different access angles on the
dynamic cyclic fatigue resistance of ProTaper Next (PTN), Twisted File
Adaptive (TFA), and Reciproc Blue (REB) instruments that simulate body
temperature in artificial canals. A total of 120 new instruments were
used (n=40). PTN, TFA, and REB instruments were divided into four
subgroups of 10 for insertion angles (0°, 10°, 20°, and 30°) in a 16-mm
stainless steel artificial canal (60° curvature and 5 mm radius) using a
customized device for a dynamic cyclic fatigue resistance test at 35°C
(intracanal temperature). The number of cycles to fracture (NCF), time
to fracture (TtF), and length of the fractured fragment were recorded,
and the fractographical surfaces of the fractured fragment were observed
using scanning electron microscopy. Data were analyzed with an analysis
of variance (ANOVA) and the Krukal–Wallis H test and Tukey, Tamhane’s,
and Bonferroni post hoc tests. The significance level was set at
P<0.05. The NCF and TtF values of TFA were significantly
higher than PTN and REB instruments (P<0.05). The increased
inclined angle reduced the NCF and TtF (P<0.05). The maximum
length of fractured fragments was observed at an angle of 20° for all
instruments (P<0.05). Increased file inclination caused a
reduction in the dynamic cyclic fatigue resistance of all instruments.
An experimental study on the identification of the root bolts state of wind turbine blades using blade sensors
Authors: Gao Feng , Zhang Hong , Xu Lin , Liu Juncheng , Qian Chenkai
Published: April 2023

Bolt looseness may occur on wind turbine (WT）blades exposed to
operational and environmental variability conditions, which sometimes
can cause catastrophic consequences. Therefore, it is necessary to
monitor the loosening state of WT blade root bolts. In order to solve
this problem, this paper proposes a method to monitor the looseness of
blade root bolts using the sensors installed on the WT blade. An
experimental platform was first built by installing various blade
sensors for monitoring bolt looseness. Through the physical experiment
of blade root bolts looseness, the response data of blade sensors were
then obtained under different bolt looseness degrees. Afterwards, by
analyzing the sensitivity of the response signal to the looseness of
blade root bolts, the types and number of sensors that can judge the
looseness of blade root bolts were determined. Finally, the multi-domain
sensitive features of response signals were fused to construct a hybrid
domain feature set of bolt looseness. The LightGBM classification
algorithm was applied to identify different bolt loosening states for
this hybrid domain feature data. The identification results of
experimental data showed that the proposed method can accurately
determine the loosening state of single or multiple WT blade root bolts.
Heat transfer characteristic of wheat straw particle during the pyrolysis
Authors: Chen Na , Guo Yun
Published: April 2023

The internal heat transfer within wheat straw particles is essential to
the pyrolysis yield and energy consumption of wheat straw. To
investigate this pyrolytic property, the paper first investigates the
shape of particles after crushing and show a very pronounced platy
structure, especially in the particle size range of 3 - 20 mm.
Therefore, a thin rectangular model is more appropriate to describe the
particle. On this basis, a mathematical model of heat transfer during
pyrolysis of particle is developed and the thermal behavior of the
interior of particles is analyzed with the heat of pyrolysis as a heat
sink for the interior. The results of the calculations show the
importance of platy structural features for heat transfer processes as
well as for particle fragmentation. Finally, the residence time of the
wheat straw in the pyrolysis reactor is slightly greater than the
heating time of the wheat straw particle.
3D scanning digital models for virtual museums
Authors: Skublewska-Paszkowska M. , Barszcz M. , Dziedzic K. , Powroznik P.
Published: April 2023

A great number of virtual museums exhibit archaeological artefacts in an
interactive form using 3D digital models to disseminate them to as many
users as possible. Currently, 3D models obtained as a result of scanning
museum objects have gained a great popularity. This technique allows to
faithfully reproduce objects and to expose artefacts too delicate and
precious to be presented in the real world. The aim of this paper is to
create a virtual museum in the VR world using 3D models obtained by 3D
scanning with structured light.  The advantages of optimising mesh
models for their use in virtual exhibitions are discussed. Unity and
Unreal Engine, were used to create virtual museums in the VR world. Two
twin test applications were prepared. This allowed to compare the
performance of the developed applications (processor, graphics card and
RAM load). A survey was also conducted among the users of the
implemented virtual museum application. For immersion in the world of
VR, a low-cost solution was used, involving the use of cheap VR frames,
a smartphone and a computer. The frames together with the smartphone
were used to display the image, while the entire rendering process was
performed on the computer.
Development of a fast and accurate hybrid model for floodplain inundation
Authors: Fraehr Niels , Wang Quan J , Wu Wenyan , Nathan Rory
Published: April 2023

High computational cost is often the most limiting factor when running
high-resolution hydrodynamic models to simulate spatial-temporal flood
inundation behaviour. To address this issue, a recent study introduced
the hybrid Low-fidelity, Spatial analysis, and Gaussian Process learning
(LSG) model. The LSG model simulates the dynamic behaviour of flood
inundation extent by upskilling simulations from a low-resolution
hydrodynamic model through Empirical Orthogonal Function (EOF) analysis
and Sparse Gaussian Process (Sparse GP) learning. However, information
on flood extent alone is often not sufficient to provide accurate flood
risk assessments. In addition, the LSG model has only been tested on
hydrodynamic models with structured grids, while modern hydrodynamic
models tend to use unstructured grids. This study therefore further
develops the LSG model to simulate water depth as well as flood extent
and demonstrates its efficacy as a surrogate for a high-resolution
hydrodynamic model with an unstructured grid. The further developed LSG
model is evaluated on the flat and complex Chowilla floodplain of the
Murray River in Australia and accurately predicts both depth and extent
of the flood inundation, while being 12 times more computationally
efficient than a high-resolution hydrodynamic model. In addition, it has
been found that weighting before the EOF analysis can compensate for the
varying grid cell sizes in an unstructured grid and the inundation
extent should be predicted from an extent-based LSG model rather than
deriving it from water depth predictions.
Analisis Risiko Bencana Erupsi Gunungapi Merapi terhadap Rencana Tata Ruang Kabupaten Sleman Daerah Istimewa Yogyakarta
Authors: Priyono Kuswaji Dwi , Rosari Teresita Oktavia
Published: April 2023

Analisis risiko bencana erupsi Gunungapi Merapi terhadap Rencana Tata Ruang di Kabupaten Sleman, Provinsi Daerah Istimewa Yogyakarta  dilakukan dengan tujuan untuk mengevaluasi Rencana Tata Ruang Wilayah (RTRW) berbasis kebencanaan. Metode yang digunakan dalam penelitian ini adalah metode overlay yang didasarkan komponen ancaman dan kerentanan bencana. Peta tingkat risiko bencana Merapi merupakan acuan untuk mengevaluasi RTRW Kabupaten Sleman yang difokuskan pada perencanaan kawasan budidaya. Kawasan budidaya merupakan kawasan aktivitas sosial ekonomi penduduk sehari-hari, sehingga perencanaan RTRW harus berbasis kebencanaan. RTRW perlu dievaluasi berdasarkan informasi kesesuaian masing-masing kawasan budidaya tersebut. Informasi mengenai kesesuaian kawasan perencanaan budidaya diperoleh melalui metode overlay peta tingkat risiko bencana dengan peta rencana kawasan budidaya di Kabupaten Sleman. Hasil overlay menghasilkan peta kesesuaian rencana kawasan budidaya. Berdasarkan hasil analisis perencanaan kawasan budidaya di Kabupaten Sleman sebagian besar sudah sesuai dengan perencanaan kawasan berbasis kebencanaan. Kawasan budidaya sebagian besar dibangun pada kawasan tingkat risiko bencana yang sangat rendah. Kawasan yang tidak sesuai dengan perencanaan kawasan berbasis kebencanaan adalah kawasan pertanian holtikultura dan permukiman yang berada pada kawasan risiko bencana tingkat tinggi. Kawasan permukiman yang tidak sesuai yaitu permukiman di Desa Glagaharjo, Kepuharjo, dan bagian utara Desa Umbulharjo.
Penerapan Problem Based Learning Model dalam Pembelajaran Geografi untuk Mengembangkan Keterampilan Belajar Abad 21 pada Siswa di SMA Negeri 1 Taliwang
Authors: Hasanah Uswatun , Astawa Ida Bagus Made , Citra I Putu Ananda
Published: April 2023

Penelitian ini bertujuan untuk menganalisis penerapan Problem Based Learning Model dalam pembelajaran geografi untuk mengembangkan keterampilan belajar abad 21, menganalisis keterampilan belajar abad 21 pada siswa, sebelum dan sesudah diimplementasikan Problem Based Learning Model dalam pembelajaran geografi, dan menganalisis perbedaan keterampilan belajar abad 21 siswa sebelum dan sesudah diterapkannya Problem Based Learning Model dalam pembelajaran geografi. Rancangan penelitian menggunakan Quasi Experiment  dengan Non-Equivalent Control Group Design. Kelas eksperimen dan kontrol ditentukan menggunakan simple random sampling setelah dilakukan uji kesetaraan. Pengumpulan data menggunakan angket, lembar observasi, dan lembar pencatatan dokumen yang selanjutnya data dianalisis secara deskriptif kualitatif dan inferensial dengan independent student t. Hasil penelitian menunjukkan bahwa Problem Based Learning Model untuk mengembangkan keterampilan belajar abad 21 dapat diimplementasikan dalam pembelajaran Geografi dengan kategori ‘sangat baik’. Nilai rata-rata keterampilan belajar abad 21 pada siswa, sebelum diimplementasikan Problem Based Learning Model dalam pembelajaran geografi adalah 63,23 dan menjadi 83,87 sesudah Problem Based Learning Model diimplementasikan dalam pembelajaran geografi, dan terdapat perbedaan keterampilan belajar abad 21 siswa secara signifikan antara sebelum dan sesudah diterapkannya Problem Based Learning Model dalam pembelajaran geografi (0,00 < 0,05). Sehingga, pembelajaran geografi dapat terlaksana, sehingga bersamaan dengan itu keterampilan belajar abad-21 dengan 4C juga dapat diwujudkan dalam pembelajaran geografi.
Identifikasi Morfologi Segmen Sungai Oyo Skala Detail dengan Pendekatan Geospasial
Authors: Lusi Ratna Sari  , Muhammad Anggri Setiawan  , Danang Sri Hadmoko
Published: April 2023

Memahami informasi geomorfologi fluvial penting dilakukan untuk memahami unsur morfogenetiknya. Penelitian ini mempunyai tujuan untuk identifikasi geomorfologi dengan melakukan inventaris data dan informasi menjadi sebuah peta. Metode yang digunakan yaitu survey lapangan dengan pendekatan spasial menggunakan foto udara yang dipotret melalui drone dengan ketinggian 100 m dan RTK (Real Time Kinematik) interpretasi foto udara bukan menjadi pendekatan utama dalam memetakan melainkan survey lapangan yang memiliki peran untuk validasi dan pendetailan pengamatan yang telah diinterpretasi melalui foto udara. Informasi yang diidentifikasi melalui interpretasi dan survei lapangan secara umum antaralain: sistem aliran sungai, sistem lereng, Sistem dataran banjir dan fitur spasial bersifat antopogenik berupa objek buatan manusia. Selanjutnya dilakukan simbolisasi berdasarkan karakteristik morfologinya dan dituangkan dalam peta morfologi sungai. Hasil penelitian berupa peta yang menunjukkan karakteristik morfologi fluvial pada skala detail.
Metode Role Playing Berbasis Billingual untuk Meningkatkan Kemampuan dan Hasil Belajar Siswa SMP Laboratorium Undiksha
Authors: Atmaja Ketut Valien Wira , Sriartha I Putu , Kertih I Wayan
Published: April 2023

Tujuan penelitian ini adalah untuk mengetahui keefektifan pembelajaran dengan metode role playing (RPL) berbasis bilingual dalam meningkatkan nilai belajar siswa pada mata pelajaran IPS, mengetahui keefektifan pembelajaran dengan metode RPL berbasis bilingual dalam meningkatkan keterampilan komunikasi bahasa asing, dan mengetahui respon siswa dalam pembelajaran IPS dengan metode RPL berbasis bilingual. Penelitian ini dirancang dalam penelitian tindakan kelas dalam dua siklus di SMP Laboratorium Undiksha. Subjek dalam penelitian ini adalah 18 siswa kelas VIII-3 dan objek dalam penelitian ini adalah kemampuan dan hasil belajar siswa. Data dikumpulkan melalui tes dan angket. Kemudian, data dianalisis secara deskriptif kualitatif dan kuantitatif. Hasil penelitian ini menunjukkan bahwa pembelajaran dengan metode role playing berbasis bilingual terbukti efektif digunakan untuk meningkatkan hasil nilai siswa pada mata pelajaran IPS di kelas VIII-3 di SMP Laboratorium Undiksha Singaraja. Pembelajaran dengan metode role playing berbasis bilingual terbukti efektif digunakan untuk meningkatkan kemampuan berkomunikasi berbahasa asing di kelas VIII-3 di SMP Laboratorium Undiksha Singaraja. Siswa Kelas VIII-3 SMP Laboratorium Undiksha tahun ajaran 2021/2022 memberikan tanggapan yang positif terhadap pembelajaran IPS dengan menggunakan metode role playing berbasis bilingual.
Pengaruh Model Quantum Teaching terhadap Efikasi Diri dan Hasil Belajar Siswa pada Mata Pelajaran IPS
Authors: Saraswati Putu Devi , Kertih I Wayan , Suastika I Nengah
Published: April 2023

Penelitian ini bertujuan untuk mengetahui pengaruh model Quantum Teaching terhadap efikasi diri siswa pada mata pelajaran IPS, pengaruh model Quantum Teaching terhadap hasil belajar siswa dan pengaruh secara simultan model pembelajaran Quantum Teaching terhadap efikasi diri dan hasil belajar siswa. Penelitian ini menggunakan jenis penelitian ekperimen semu dengan rancangan posttest-only control group design. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII di SMP Jembatan Budaya yang berjumlah 166 orang siswa yang tersebar dalam tujuh kelas. Teknik pengambilan sampel pada penelitian ini dengan menggunakan teknik random sampling berjumlah 48 orang siswa. Variabel bebas dalam penelitian ini adalah model Quantum Teaching, sedangkan variabel terikat dalam penelitian ini adalah efikasi diri dan hasil belajar siswa. Data hasil belajar siswa dikumpulkan dengan metode tes, sedangkan data efikasi diri siswa dikumpulkan dengan metode kuesioner. Analisis data yang digunakan pada penelitian ini adalah Manova. Berdasarkan penelitian yang telah dilakukan disimpulkan bahwa terdapat pengaruh yang signifikan model quantum teaching terhadap efikasi diri siswa pada mata pelajaran. Temuan lainnya adalah terdapat pengaruh yang signifikan model quantum teaching terhadap hasil belajar siswa pada mata pelajaran IPS dan juga terdapat pengaruh yang simultan model pembelajaran quantum teaching terhadap efikasi diri dan hasil belajar siswa.
Pengaruh Task-Based Learning Model terhadap Keterampilan Komunikasi dan Kolaborasi Siswa dalam Pembelajaran IPS
Authors: Wahyu Sumardeni  , Ida Bagus Made Astawa  , Tuty Maryati
Published: April 2023

Penelitian ini dilatarbelakangi oleh belum berkembangnya keterampilan komunikasi dan kolaborasi siswa dalam pembelajaran IPS dengan tujuan untuk menganalisis pengimplementasian Task-Based Learning Model dalam pembelajaran IPS pada Kelas VIII, menganalisis pengaruh Task-Based Learning Model terhadap keterampilan komunikasi siswa kelas VIII dalam pembelajaran IPS, menganalisis pengaruh Task-Based Learning Model terhadap keterampilan kolaborasi siswa kelas VIII dalam pembelajaran IPS, dan menganalisis pengaruh Task-Based Learning Model secara simultan terhadap keterampilan komunikasi dan kolaborasi siswa kelas VIII dalam pembelajaran IPS. Penelitian ini dirancang sebagai penelitian eksperimen semu/quasy eskperimental dengan posttest only control group design. Sampel penelitian ditentukan secara random dengan tehnik undian untuk menetapkan dua (2) dari tiga (3) kelas populasi, yaitu satu sebagai kelompok eksperimen (Kelas VIII-3) dan satu sebagai kelompok kontrol (Kelas VIII-2) setelah terlebih dahulu dilakukan uji kesetaraan. Pengumpulan data menggunakan metode observasi, angket, dan pencatatan dokumen yang datanya kemudian dianalisis secara deskriptif kualitatif dan Kuantitatif (Manova) untuk uji hipotesis. Hasil penelitian menunjukkan bahwa pengimplementasian Task-Based Learning Model yang dilakukan guru dalam pembelajaran IPS pada Kelas VIII tergolong dalam kriteria baik sekali dengan nilai sebesar 95. Selain itu, terdapat pengaruh Task-Based Learning Model secara signifikan (Fhitung 63,985 dan nilai signifikansi 0,000) terhadap keterampilan komunikasi siswa kelas VIII  dalam pembelajaran IPS, terdapat pengaruh Task-Based Learning Model secara signifikan (Fhitung 49,581 dan nilai signifikansi 0,000) terhadap keterampilan kolaborasi siswa kelas VIII dalam pembelajaran IPS. Secara simultan terdapat pengaruh Task-Based Learning Model  yang signifikan (Fhitung 41,124 dan nilai signifikansi 0,000) terhadap keterampilan komunikasi dan kolaborasi siswa kelas VIII dalam pembelajaran IPS.
Ekslusi Anak Berkebutuhan Khusus di Sekolah Inklusi
Authors: Azzahra Salsabilla , Dhona Holy Rafika
Published: April 2023

Riset ini ingin membuktikan bahwa praktik komunikasi sekolah inklusi di Indonesia justru merupakan instrumen untuk mengekslusi siswa anak berkebutuhan khusus (ABK). Riset ini didasari oleh gagasan bahwa ruang dengan wacana tertentu pada akhirnya menghasilkan proses interaksi dan komunikasi yang tertentu pula. Proses komunikasi di dalam sekolah inklusi justru mensubjeksi ABK sebagai liyan. Pertanyaan utama penelitian ini adalah bagaimana sekolah inklusi mengkonstruksi subjek anak berkebutuhan khusus. Dengan menggunakan metode etnografi kritis di sebuah sekolah di Jawa Tengah, riset ini menemukan bahwa eklusi ABK sebagai subjek yang berbeda terjadi dalam penyeleksian penerimaan ABK. Ekslusi ini diteguhkan dalam bagaimana proses pembelajaran ABK yang berbeda dari siswa biasa dan akhirnya memproduksi kesadaran ABK sendiri. Implikasi penelitian ini adalah ajakan memindah diskusi pendidikan inklusi pada bagaimana mengkonstruksi ‘anak tipikal’ (non-ABK) menerima dan menjadi lingkungan yang supportif bagi ABK.
Pengembangan Nilai–Nilai Kebangsaan dan Kebhinekaan melalui Discovery Learning Model Berbantuan Google Classroom dalam Pembelajaran Sejarah
Authors: Nobar Ontu Benediktus Kristianto , Sukadi  , Kertih I Wayan
Published: April 2023

Penelitian ini bertujuan untuk mengimplementasikan Discovery Learning Model dengan bantuan Google Classroom dalam pembelajaran Sejarah di SMAK Soverdi Tuban, serta mengevaluasi perbedaan nilai-nilai kebangsaan dan kebhinekaan siswa antara kelas yang menerapkan model tersebut dengan kelas yang tidak, menggunakan desain quasi-eksperimental dengan Non-Equivalent Post-Test Only Control Group Design. Sampel penelitian terdiri dari kelas XI IPS 1 sebagai kelas eksperimen dan kelas XI IPS 2 sebagai kelas kontrol yang dipilih secara acak. Pengumpulan data dilakukan dengan kuisioner dan pencatatan dokumen, dan hasil analisis menunjukkan bahwa secara simultan terdapat perbedaan signifikan dalam nilai-nilai kebangsaan dan kebhinekaan siswa antara kelas yang menerapkan Discovery Learning Model dengan yang tidak, serta terdapat perbedaan signifikan dalam nilai-nilai kebangsaan dan kebhinekaan siswa secara terpisah antara kedua kelas.