bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interactive Medical Image Labeling Tool to Construct a Robust Convolutional Neural Network Training Data Set: Development and Validation Study
Authors: Reifs David , Reig-Bolaño Ramon , Casals Marta , Grau-Carrion Sergi 
Published: August 2022

Background
Skin ulcers are an important cause of morbidity and mortality everywhere in the world and occur due to several causes, including diabetes mellitus, peripheral neuropathy, immobility, pressure, arteriosclerosis, infections, and venous insufficiency. Ulcers are lesions that fail to undergo an orderly healing process and produce functional and anatomical integrity in the expected time. In most cases, the methods of analysis used nowadays are rudimentary, which leads to errors and the use of invasive and uncomfortable techniques on patients. There are many studies that use a convolutional neural network to classify the different tissues in a wound. To obtain good results, the network must be trained with a correctly labeled data set by an expert in wound assessment. Typically, it is difficult to label pixel by pixel using a professional photo editor software, as this requires extensive time and effort from a health professional.

Objective
The aim of this paper is to implement a new, fast, and accurate method of labeling wound samples for training a neural network to classify different tissues.

Methods
We developed a support tool and evaluated its accuracy and reliability. We also compared the support tool classification with a digital gold standard (labeling the data with an image editing software).

Results
The obtained comparison between the gold standard and the proposed method was 0.9789 for background, 0.9842 for intact skin, 0.8426 for granulation tissue, 0.9309 for slough, and 0.9871 for necrotic. The obtained speed on average was 2.6, compared to that of an advanced image editing user.

Conclusions
This method increases tagging speed on average compared to an advanced image editing user. This increase is greater with untrained users. The samples obtained with the new system are indistinguishable from the samples made with the gold standard.
Coconut Husk to Reducing Sugar Conversion Using Combined Ultrasound and Surfactant Aided Subcritical Water
Authors: Zuhroh Saiyyidah Tus , Fatmawati Akbarningrum , Widjaja Arief 
Published: August 2022

The first purpose of this study was to investigate the effect of operating variables and surfactant concentration in subcritical water to after ultrasonic process on the sugar-producing yield from coconut husk. The second purpose was to obtain the optimum operating condition of the subcritical water process. The sonication before the subcritical water process was done by dispersing 40 mesh coconut husk powder in water at 60°C, and 35 kHz. The effect of sonication time was studied by comparing the material crystallinity and composition after being treated for 30 minutes. In this research, the optimization was done by using a Box-Behnken response surface methodology (RSM) experimental design with 3 factors (temperature, time, and surfactant concentration). The designed lower and upper levels were 130°C and 170°C, 40, and 80 minutes, as well as 1 and 3% (w). The results showed that the quadratic response surface model predicted the maximum reducing sugar yield to be 12.0%, which was achieved at the optimum condition of 170°C, 77.5 minutes, and 2.3% SDS surfactant addition. The experiment run at the obtained optimum condition resulted in a reducing sugar yield of 11.7%, which was close to that obtained from the model prediction.
Influence of Work-Life-Balance and Family-Life-Balance on Job Performance and Satisfaction of Business Studies Teachers in Bauchi State, Nigeria
Authors: Chana Muhammad U. , Ibrahim Adamu , Abdulhamid Umar 
Published: August 2022

The study determined the “Influence of Work-Life-Balance (WLB) and Family-Life-Balance (WFB) on job performance and satisfaction of Business Studies Teachers in Bauchi State, Nigeria” Specifically, the study had four objectives and four null hypotheses. The study adopted a survey research design. The population of this study comprised of 1601 Business Studies teachers in 2020/2021 academic session in Bauchi State, Nigeria. The sample of 400 business teaches were sampled for the study. The instrument for the data collection was 60 items 5 Likert Scale Questionnaire. The instrument was validated by 5 expects and pilot tested at Gombe State. A Cronbach's alpha reliability of 0.834 was obtained. The data were collected by researcher assisted by five researach assistants. The data were analyzed Liner Logistic Regression to test the research hypotheses at 0.05 level of significance. The results indicated that WLB and WFB have significant influence on job performance and job satisfaction of Business Studies teachers in Bauchi State, Nigeria. It was concluded that, the negative attitude such as absenteeism, lateness, inability of covering the curriculum, personal and interpersonal conflicts of business studies teachers in school are as a result of difficulty in coping with WFB and WLB. The researcher recommended that, the Bauchi State government should employ more Business Studies teachers that will help to reduce workloads on existing teachers. Similarly, teachers with additional responsibilities should be motivated, this will help to improve the level of their job satisfaction.
Using aerosols to make an integrated rapid assessment of the ecological state of territories
Authors: Glinyanova Irina Yu. , Asanova Natalia V. , Erofeev Vladimir T. , Afonin Viktor V. 
Published: August 2022

Introduction. Indicators of aerosol suspensions, used to make an integrated rapid assessment of the ecological state of territories, allow quickly assessing the ecological status of residential areas of settlements without installing mobile or stationary ecological posts. Aerosol particles are the subject of this study. The purpose of the study is an integrated rapid assessment of the ecological state of the residential area of the Srednyaya Akhtuba settlement (the Volgograd region) located in close proximity to operating enterprises, engaged in the production of expanded clay. The following aerosol indicators are employed to achieve this goal: acidity (pH); specific electrical conductivity (EC, µS/cm); toxicity (development of tested objects (Lr, cm)); the number of particles and their mass fraction from the perspective of convolution of normalized basic factors. The research objectives include sampling of aerosol particles; preparation of aerosol suspensions; study of indicators of aerosol suspensions; identification of the ecological status of the territory of the residential area of the Srednyaya Akhtuba settlement.
Materials and methods. The studied material is the aerosol particles taken from the surface of the leaves of apricot trees (Prúnus armeníaca L.) in the residential area of Srednyaya Akhtuba, Sredneakhtubinskiy district, Volgograd region, October 2018. The sampling of aerosol particles and the preparation of aerosol suspensions were carried out using international methods. The study of the acidity index (pH) and specific electrical conductivity (EC, μS/cm) was carried out using the electrochemical equipment of the MULTEST series (Russia): an ion meter (IPL-101-1) and a conductometer (KSL-111), respectively. The study of the toxicity of aerosol suspensions was based on measuring the development of tested objects (Lr, cm); the study of the dispersed composition of aerosol particles, their quantity and mass fraction were carried out according to GOST R (All-Russian State Standard) 56929-2016.
Results. The studies allowed assigning the ecological status of “an environmental crisis” to the territory of the residential area in Srednyaya Akhtuba as of the spring and summer of 2018.
Conclusions. Sources of pollution must be identified and environmental actions must be developed to protect the residential area of the settlement from aerosol particles with a diameter of less than 10 microns (PM10).
Development and justification of universal designs for energy tests in flow paths of hydroelectric power plants
Authors: Antonov Anton S. , Karablin Nikita P. , Minakov Vladimir A. , Karpinsky Alexey V. 
Published: August 2022

Introduction. The authors present one of methods for measuring water flows through the intake of a hydroelectric power plant. The new structure has a metal frame and a folding rotary row. The authors analyzed the advantages of the proposed, and mase strength and hydraulic analyses. Computational studies of the stress-strain state, made with account taken of the actual hydrodynamic pressure, allow choosing the optimal position of measurement points, designing a frame structure, and making highly accurate measurements of energy characteristics.
Materials and methods. Top international publications, as well as archived materials, were analyzed to select the universal frame structure. The most promising directions were identified; the advantages and disadvantages of the proposed solutions were taken into account. Complex computational studies were performed using ANSYS Mechanical, a universal industrial software package, and ANSYS CFX, a specialized module for modeling flows of liquids and gases with account taken of turbulence.
Results. The position of measurement points that ensure the least distortion of the flow and tilt angles of hydraulic turntables were determined during the hydraulic simulation. The flow loads were taken into account when the stress-strain state of the universal frame structure was calculated; optimal design solutions were selected to ensure the strength and reliability of metal elements. Stress concentration zones were identified for monitoring purposes during installation.
Conclusions. Given the mathematical modeling data and experimental field studies, a universal frame structure for energy tests was substantiated. The new design ensures a measurement error of ±0.67 %, which corresponds to the leading world standards.
An innovative approach to real estate transactions using digital technology
Authors: Volkova Natalia A. , Koroleva Liudmila L. 
Published: August 2022

Introduction. Today, digitalization and innovation have penetrated into all areas of business, spheres of life and are broadcast at government levels in all countries of the world as an advantage and simplification of existing classical algorithms in obtaining all kinds of services. The development of digital technology in banking began even before the COVID-19 epidemic: electronic banking, cashless transfers, card orders, later — receiving credit and signing electronic documents.
In the realities of today's economy, the real estate market has also undergone mass digitalization, which is an innovative trend. Collaboration of bank digital technologies and online signing of real estate purchase agreements by developers has created a seamless digital process, which consists of several stages involving three parties: the bank, the developer and the client. The main advantages of this process is the reduction of a large amount of paper documents due to the transfer of the document flow into the online format and reducing the time spent on the execution and transaction for all participants by more than 2 times.
Materials and methods. The research uses open statistical data from the websites of DOM.RF, Central Bank of Russia, Sberbank PJSC, DomKlik, PIK-specialized developer PJSC for 2022. The following research methods are used: comparison and synthesis analysis of the studied and model data.
Results. The review article considered the main marketing trends in the real estate market in the introduction of innovative services in the process of processing real estate transactions. Also, a comparative analysis of the conditions of mortgage lending with regard to the impact of different programs on the cost of selling apartments was carried out. A new mortgage program has been offered which allows to retain potential clients by attracting them with an innovative mortgage product.
Conclusions. Electronic services for real estate transactions are an innovative product in the digital format, which develops and attracts the mass consumer. In turn, customers appreciate the individual approach, significant cost savings and reduced time when processing the transaction.
Penerapan Algoritma Naïve Bayes Untuk Klasifikasi Data Pengisian ATM
Authors: Hakim Tanjung Dahri Yani 
Published: August 2022

<p><em>Uang merupakan alat pembayaran yang sah untuk memenuhi kebutuhan ekonomi manusia, seiring dengan perkembangan jaman dan teknologi muncul transaksi non tunai dalam sistem pembayaran. Hal tersebut mendorong pihak perbankan menyediakan jasa penyedia uang dalam bentuk electronic delivery channels berupa ATM. Fungsi ATM sendiri memberi kemudahan kepada konsumen dalam bertransaksi baik tunai maupun non tunai. Data pengisian ATM dari berbagai Bank yang transaksi perhari cukup banyak dapat diolah dengan menggunakan data mining. Data mining mampu mengolah data dengan jumlah yang sangat banyak salah satunya menggunakan fungsi klasifikasi sehingga menghasilkan pengetahuan baru. Data mining dengan fungsi klasifikasi diharapkan mampu dalam pengolahan data sehingga dapat memonitoring terhadap data pengisian ATM. Penerapan metode Naïve bayes digunakan untuk klasifikasi status pengisian ATM yaitu Isi atau Tidak Isi, dimana proses pengujiannya menggunakan bantuan tools Rapid Miner yang bertujuan untuk mengukur tingkat akurasi dari metode Naïve Bayes yang digunakan. Dataset pengisian Mesin ATM yang digunakan dalam penelitian ini yaitu 55 record dengan 6 attribut berupa persentase CIB, Lokasi, Status ATM, Restock, CashOut dan EndCash. Dari penelitian ini, Algoritma Naïve Bayes mampu dalam menganalisa terhadap data pengisian ATM dengan berhasil mengklasifikan 50 data dari 55 data yang diuji dengan nilai probabilitas sebesar 0,004 untuk klasifikasi Isi dan persentase keakuratan sebesar 90,91%, untuk class precision Isi yaitu 94,74% untuk precision tidak isi 88,89%, sedangkan untuk class recall Isi yaitu 81,82% dan class recall tidak isi 96,97%. . Hasil tersebut, membuktikan bahwa metode Naïve Bayes dapat digunakan untuk membantu dalam prediksi pengisian ATM, karena menghasilkan tingkat keakuratan yang cukup tinggi.</em></p>
Perbandingan Metode Radial Basis Function dan Multilayer Perceptron Terhadap Resiko Kredit Sepeda Motor
Authors: Lubis Cindy Paramitha 
Published: August 2022

<table border="1" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="607"><p><em>Pada setiap pemilik showroom pasti banyak yang membuat promosi dengan cara mengkreditkan sepeda motor. Akan tetapi banyak terjadi permasalahan dengan nasabah yang membayar kredit sepeda motor terlalu lama sehingga membuat kendala pada showroom tersebut. Penyebab utama dari kesalahan tersebut adalah penilaian terhadap keputusan calon debitur. Sehingga peneliti mengganggap pentingnya untuk membahas permasalahan tersebut. Pada penelitian ini akan membandingkan metode Radial Basis Function dan Multilayer Perceptron untuk menganalisa resiko kredit sepeda motor sehingga dapat di lihat manakah yang lebih baik dan akurat dari kedua metode tersebut. Pengujian dilakukan dengan model Confusion Matrix dan Kurva ROC. Sehingga dapat ditarik kesimpulan Metode Multilayer Perceptron yang lebih baik.</em><em> </em><em></em></p></td></tr></tbody></table>
Perancangan Analisis Sistem Image Quality Improvement (IQI) Berbasis Fourier
Authors: Sadikin Muhammad 
Published: August 2022

Pengolahan citra merupakan suatu teknik manipulasi pada objek tertentu yang akan digunakan untuk mengimplementasikan peningkatan kualitas maupun penurunan kualitas pada citra, merender dan mengubah bentuk dari beberapa titik citra tertentu pada gambar dengan tujuan untuk menciptakan suatu objek yang baru dari titik-titik perubahan pada citra tersebut seperti ketika suatu citra didapati dengan kontras rendah karena terjadinya penangkapan citra dengan pencahayaan atau proses pencahayaan yang kurang baik dan atau karena terjadinya inkonsistensi selama proses akuisisi gambar. Sebuah gambar digital merupakan array dua dimensi yang memiliki bagian gambar dengan tingkat warna keabuan. Fourier adalah salah satu dari beberapa metode transformasi yang sangat banyak digunakan oleh para user dalam merancang suatu aplikasi untuk memperbaiki kualitas citra digital tersebut. Metode Fourier akan mengolah terlebih dahulu informasi yang akan ditransformasikan sebelum melakukan manipulasi terhadap hasil citra yang akan di transformasi fourier tersebut. Transformasi tersebut akan diproses melalui pengubah f(x) ke bentuk eksponen. Untuk itu jika suatu citra terlihat tidak sesuai dengan keinginan dan harapan pengguna maka dilakukan transformasi citra dengan metode fourier dan tujuan dari perbaikan kualitas citra digitial pada penelitian ini yaitu agar memperoleh hasil dari citra yang diinginkan dan harapan pengguna.
Parking-Specific Parameterization Method for FTire
Authors: Neumann Dominic , Friederichs Jan , Harris Mark , Weinberger Mario , Schramm Dieter , Bachmann Christian 
Published: August 2022

ABSTRACT
Virtual steering system layout in the early development phase requires adequate tire models to predict realistic steering rack forces. An accurate representation of parking is particularly important, as the largest steering rack forces occur during this maneuver. Physical tire models are mainly parameterized for rolling conditions. Since the tire exhibits different mechanical behavior under nonrolling conditions, this article introduces a new parameterization procedure for the physical tire model FTire that characterizes the conditions during parking maneuvers. To this end, an additional full vehicle measurement setup is used to understand the tire motions, forces, and torques during parking. It is also shown that a tire model based on a standard parameterization procedure results in steering speed-dependent parking torque deviations of up to 17.5% when compared with component measurements. Thus, new measurement methods are developed to help parameterize the tire model for this maneuver. A linear friction tester is used to determine the friction interaction between tire and road at the relevant relative velocities. In addition, measurements are performed on a tire stiffness test rig, in which translatory and rotatory movements are overlaid. Furthermore, the contact patch shape, ground pressure distribution, and tire outer contour are digitalized and added into the model. A tire model based on the new parking optimized parameterization is then compared with the standard tire modeling approach and component measurements as well as the full vehicle measurements. In conclusion, improvements of up to 12% for drilling torque, up to 15% for longitudinal force, a more realistic lateral stiffness, a more realistic pressure distribution, and improvements of up to 8% when simulating the steering rack force can be stated. After the results are evaluated and interpreted, recommendations for future developments of this parameterization procedure and an extension of the virtual tire model are discussed.
Bond Strength to Dentine and Degree of Conversion of Adhesive Systems
Authors: Flávio Reginato Vagner , Boccardi Samara Titon , Bucco Yasmin , Feitosa Victor Pinheiro , Bacchi Atais , Consani Rafael Leonardo Xediek 
Published: August 2022

Objectives: The study evaluated the bond strength, degree of conversion and fracture pattern of the hybrid layer in cement-dentin adhesion techniques.

Materials and Methods: Bovine teeth dentin blocks were divided according to the cementation techniques: G1- Conventional three-step adhesive and dual-curing resin cement; G2- One-step self-etch adhesive and dual-curing resin cement; G3-Self-adhesive resin cement; and G4- Self-adhesive primer and dual-curing resin cement. Specimens were submitted to thermal cycling, chemical aging or water storage. Bond strength was evaluated by testing machine; fracture pattern observed by optical microscopy, and degree of conversion evaluated in micro-Raman spectrophotometer. Data were analyzed by two-way ANOVA and Tukey's test (α=0.05).

Results: G1 showed greatest bond strength (p<0.001) followed by the G2 with higher values compared to G3 and G4, and no difference between them. For G2, G3 and G4, the thermal cycling affected the bond strength. The greatest degree of conversion was for G2 with Single Bond Universal, significantly higher than Scotchbond and RelyX U200. G4 provided highest value for the cement layer, and statistically higher than G1. G1 showed the highest strength than G3 associated to resin cement or self-adhesive resin cement. Different fracture patterns were observed.

Conclusions: Aging methods reduced the bond strength. Degree of conversion was highest in the adhesive layer photo activated and in the cement layer with dual activation. Different fracture patterns were observed.

Clinical Relevance: Resin cements degree of conversion and fracture pattern of the hybrid layer are relevant factors in the different bond strength values obtained in adhesive protocols.
Retirement Planning and Psycho-Social Adjustment in Post-Working Years Among Teachers in the Tarkwa Municipality, Ghana
Authors: Andoh-Robertson Theophilus , Kploanyi Peace Sitsofe , Sackey Margaret Mary 
Published: August 2022

The study examined the effect of retirement planning on psycho-social adjustment during retirement among teacher retirees in the Tarkwa Municipality. The study was mainly a descriptive survey employing the qualitative approach to inquiry. Nineteen (19) retired teachers were selected using the purposive sampling technique. Data was collected using a semi-structured interview protocol and was analysed using content analysis. It was found that Ghana Education Service (GES) did not organise retirement seminars for the retirees prior to retirement, however, they were able to do some financial preparation for retirement though not inadequate. Also, those who did adequate planning were psychologically well adjusted. It was recommended that the GES through the Guidance and Counselling Unit, Financial Institutions, Non-Governmental Organisations (NGOs), and other stakeholders organise workshops and seminars to empower teachers for proper planning and adjustment towards retirement.
IoT-Based Real-Time Aquaculture Health Monitoring System
Authors: Sarwar Adnan , Iqbal M. Tariq 
Published: August 2022

Aquaculture fastest growing business worldwide especially in developing countries. Fisheries are marine species and required an oceanic environment where fisheries could grow and live naturally. Off-shore aquaculture businesses need a real-time water quality monitoring system. So, aquafarmers could maintain the required environment for a sustainable and profitable business. This work represents an IoT-based realtime health management system designed for aquaculture and considered the most required health metrics for aquaculture. The proposed system used four primary sensors: water level, temperature, pH, and dissolved oxygen. Sensors connected with microcontroller Arduino Uno R3 and ESP 8266 wi-fi module are used for data transmission to the IoT source ThingSpeak. The designed system could access online through the web interface and phone App for aquafarmers. The sensor data was accurate, and the system worked as designed.