bluuebunny/crossref_metadata_2025 huggingface dataset:
The influence of human resource management practices on employee performance: A case study of Al-Balqa Applied University
Authors: Alkhalailah Rania , Mjlae Salameh
Published: March 2023

Human resources management (HRM) has become critical in modern empirical studies. This study examines the impact of several critical HRM practices, including workforce planning, recruitment and selection, training and development, compensation, and employee appraisal, on employee performance. The study selected employees of Al-Balqa Applied University in Jordan to conduct a survey totaling 150 respondents. The paper adopted a quantitative research approach to achieve the study objectives using self-administrated questionnaires for data collection. The study used the SPSS software to conduct the primary analyses. The results showed that the university’s application of HRM practices was at a high level, where training and development took first place in priority. However, the study suggested a change in HRM practices in the pursuit of excellence to improve the productivity of employees at the university. Therefore, personnel management should always strives to implement one or another strategy of the university, based on which appropriate human resource management practices are chosen.
Micro Level Analysis of Wage and Self-employment Schemes in Rural Kashmir, Jammu and Kashmir, India
Authors: Hajam Ferooz Ahmad , Rashid Shahbaz , Rather Javeed A. , Ganaie M. Imran
Published: March 2023

A poverty eradication and employment creation have been central objectives of planners and policymakers in developing countries like India. As a backdrop, a significant number of schemes were created to generate employment and foster long-term economic growth. This article examines the influence of employment initiatives on employment generation and economic upliftment in rural area of Kashmir. Both primary and secondary data sources are employed in this study. The data was analyzed by using a log-linear regression model and correlation analysis. Knowledge Index was used to determine respondents’ awareness of employment programs. The findings indicate a linkage between the amount of money spent and the creation of employment opportunities. The findings also demonstrate that changes in people’s income have the major impact on family expenditure, hospital and medical costs, children’s education, and household savings. Finally, the study concluded that increasing employment days and rural credit will result in more revenue in people’s hands and improved economic empowerment.
LexID: The Metadata and Semantic Knowledge Graph Construction of Indonesian Legal Document
Authors: Muninggar Nur Siti , Krisnadhi Adila Alfa
Published: March 2023

The Legal Fiction principle stipulates that the government needs to ensure the public availability of all of their legal documents. Unfortunately, the text-based search services they provide cannot return satisfactory answers in retrieval scenarios requiring proper representation of relationships between various legal documents. A key problem here is the lack of explicit representation of such relationships behind the employed retrieval engines. We aim to address this problem by proposing LexID knowledge graph (KG) that provides an explicit knowledge representation for Indonesian legal domain usable for such retrieval purposes. The KG contains both legal metadata information and semantic content of the legal clauses of the legal document's articles, modeled using formal vocabulary from the LexID ontology also presented in this paper. The KG is constructed from thousands of Indonesian legal documents. Since the procedure of writing a legal document regulated by the government is clear and detailed, we use a rule-based approach to construct our KG. At the end, we describe several use cases of the KG to address different retrieval needs. In Addition, we evaluated the quality of our KG by measuring its ability to answer questions and got that LexID can answer questions with the macro average F1 score is about 0.91.
Is the presence of mosquitoes an indicator of poor environmental sanitation?
Authors: Olagunju Emmanuel Ajibola
Published: March 2023

The World Health Organization has designated mosquitoes as the most lethal animal since they are known to spread pathogen-transmitting organisms. Understanding the many environmental elements that contribute to the spread of these vectors is one of the many strategies used to stop them. If there are mosquitoes around people, it may indicate that there is not an appropriate environmental sanitation program in place in the community or region. Environmental sanitation involves improving any elements of the physical environment that could have a negative impact on a person's survival, health, or physical environment. Keywords containing ‘Aedes,’ ‘Culex,’ ‘Anopheles,’ ‘dengue,’ ‘malaria,’ ‘yellow fever,’ ‘Zika,’ ‘West Nile,’ ‘chikungunya,’ ‘resident,’ ‘environment,’ ‘sanitation,’ ‘mosquito control,’ and ‘breeding sites’ of published articles on PubMed, Google Scholar, and ResearchGate were reviewed. It was discovered that the general population should be involved in mosquito and mosquito-borne disease control. Collaboration between health professionals and the general population is essential. The purpose of this paper is to increase public awareness of environmental health issues related to diseases carried by mosquitoes.
Ciprofloxacin degradation by catalytic activation of monopersulfate using Mn–Fe oxides: performance and mineralization
Authors: Barzegar Gelavizh , Sabaghan Mohammad , Azadbakht Omid , Aghayani Ehsan , Mahdavianpour Mostafa , Kadier Abudukeremu , Fallahizadeh Saeid , Ghanbari Farshid
Published: March 2023

In this work, Mn2O3/Fe2O3 (MFO) was synthesized and used to activate monopersulfate (MPS) for the degradation of ciprofloxacin (CIP). The effect of several parameters was studied on CIP degradation. Under the optimum conditions (pH = 6.3 (natural pH), MFO = 300 mg/L and MPS = 2 mM), around 92% of CIP was decomposed. Nitrite, phosphate and bicarbonate ions had a strong inhibitory effect on the MFO/MPS process while the effect of chloride and nitrate ions was neutral. The catalytic activity of MFO was also studied by other chemical oxidants such as peroxydisulfate, periodate, hydrogen peroxide, percarbonate and peracetic acid. Scavenging tests showed that the role of sulfate radicals is more than hydroxyl radicals. MFO exhibited high catalytic activity in four recycling with insignificant leaching of Mn and Fe. During CIP oxidation, 45.5% carbon mineralization occurred and antibacterial activity of treated CIP solution was reduced. Finally, MFO/MPS was applied on actual wastewater (hospital effluent) and the results showed that MFO/MPS can be considered as a practical method for the treatment of contaminated water with emerging pollutants.
Can the Interdisciplinarity of Cognitive Science Be Saved Through Deconstruction?
Authors: Nowakowski Przemysław R.
Published: March 2023

This paper discusses the resources for deconstruction offered by cognitive science, drawing inspiration from David Gunkel’s work on the topic (Deconstruction, MIT Press 2021). The gesture of deconstruction is seen as having a positive impact on the development of this interdisciplinary field by challenging misleading dichotomies and examining its underlying assumptions, such as the symmetry of integration.
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Received: 6/11/2022. Reviewed: 13/12/2022. Accepted: 20/12/2022.
Practical Synthesis of 1,4-Dihydropyridines on Heterogeneous Sulfonicmodified
Silica (SBA-15-SO3H) Catalyst Under Mild Condition
Authors: Hung Tran Quang , Phuc Ban Van , Loan Pham Thị Thanh , Lan Nhi Do Thi , Nguyen Hien , Xuan Vu Hoan , Do Dang Van , Dang Tuan Thanh
Published: March 2023

Aims:

Synthesis of 1,4-Dihydropyridines (1,4-DHP) using heterogeneous catalyst un-der mild condition

Objective:

Our objective is to explore new applications of non-metal heterogeneous catalysts in the synthesis of 1,4-DHP derivatives in a greener and more efficient approach.

Methods:

A greener and more efficient method for the synthesis of 1,4-DHPs and an asymmetric 1,4-DHP (Felodipine drug) was successfully developed in high yields using a heterogeneous SBA-15-SO3H catalyst.

Results:

A series of symmetric 1,4-DHP and an asymmetric 1,4-DHP (Felodipine drug) were suc-cessfully prepared in high yields using a heterogeneous SBA-15-SO3H catalyst

Conclusion:

The catalyst, SBA-15-SO3H, exhibited an efficient catalyst activity for the synthesis of 1,4-DHP derivatives in high yields from the aldehyde, β-ketoester, and NH4OAc as a nitrogen source under mild conditions and short reaction time. Bronsted acid sites of this solid catalyst were figured out to play a key role in this transformation. Interestingly, our catalyst is air-stable and can be recycled at least 5 times without losing catalytic activity.
A New Predictor for Insulin Resistance in Polycystic Ovary Syndrome:
InsuTAG
Authors: Omma Tulay , Gokce Aksanur , Celik Mustafa , Karahan Irfan , Culha Cavit , Gulcelik Nese Ersoz
Published: March 2023

Background:

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy
among women of reproductive age. PCOS leads to metabolic dysfunction such as dyslipidemia, obesity,
and glucose intolerance based on hyperandrogenemia, hyperinsulinemia, and dysregulated adipokine
secretion.

Objective:

The aim of this study was to investigate whether a new marker, InsuTAG (fasting insulin×fasting
triglycerides) could predict insulin resistance (IR) in patients of PCOS.

Methods:

In this study, retrospective data of 300 female patients diagnosed with PCOS were analyzed.
The relationship between InsuTAG and HOMA-IR, TyG, and TG/HDL-C scores related to insulin resistance
was evaluated. In addition, the distribution of the cases according to the cut-off values was
determined.

Results:

Log-transformed forms of InsuTAG and HOMA-IR, TyG and TG/HDL-C results were positively
correlated, respectively. (r = 0.85, p < 0.001; r = 0.78, p < 0.001; r = 0.72, p < 0.001). Sensitivity,
specificity, positive predictive value and negative predictive values for InsuTAG were calculated
as 85%, 85%, 82% and 88%, respectively.

Conclusions:

This study is the first to compare the InsuTAG, another predictor of insulin resistance,
with other IR markers in women with PCOS. InsuTAG is a novel biomarker based on plasma sampling
of insulin and triglyceride, with minimally invasive, inexpensive and orientally accessible features.
Neuropsychiatric Manifestations in Alzheimer’s Disease Patients: Genetics and Treatment Options
Authors: Singh Arun Kumar , Malviya Rishabha , Prakash Anuj , Verma Swati
Published: March 2023

Background:

Alzheimer's disease (AD) is characterized by neuropsychiatric symptoms (NPS), which cause great misery to those with dementia and those who care for them and may lead to early institutionalization.

Objective:

The present systematic review aims to discuss the various aspects of Alzheimer’s, including treatment options.

Methods:

The databases Embase, PubMed, and Web of Science were searched to collect data.

Result:

Incipient cognitive deterioration is commonly accompanied by these early warning signals of neurocognitive diseases. The neurobiology of NPSs in Alzheimer's disease, as well as particular symptoms, including psychosis, agitation, apathy, sadness, and sleep disorders, will be examined in this review. For NPSs in Alzheimer's disease, clinical trial designs, as well as regulatory issues, were also addressed. A fresh wave of research, however, is helping to push the discipline ahead. For medication development and repurposing, we highlight the most recent results in genetics, neuroimaging, and neurobiology. Even though identifying and treating psychosis in adults with dementia is still a challenging endeavor, new options are coming up that give the field fresh focus and hope.

Conclusion:

It can be concluded from the complete literature survey that Alzheimer's-related psychosis as well as other symptoms that are not psychotic, have made significant progress in the last decade. These milestones in the development of safer, more effective treatments have been achieved as a consequence of great focus on non-pharmacological interventions like DICE or WHELD; the investigation into ways to improve existing drugs like aripiprazole, risperidone, amisulpride, and Escitalopram for safer precision-based treatment; and the development of a clinical trial program for pimavanserin.
The Discussion of the Influence of Eccentricity Ratio on Lubrication
Characteristics of Fluid Lubricated Bearings
Authors: Yang Xiaodong , Liu Feilin , Liu Hongbo , Zhang Jian , Liu Weifeng , Meng Yue
Published: March 2023

The operating quality of bearings has also led to higher criteria with the growing status
of the manufacturing industry in social production. The eccentricity ratio of the bearing system is
particularly susceptible to change during operation as a result of the external load, which has a direct
impact on the lubricating properties. On the one hand, a reasonable eccentricity ratio will improve
the bearing's lubrication performance, increase stability, and better meet processing requirements;
on the other hand, it will result in uncontrollable bearing behavior and may even cause the
real world to deviate from the theoretical design model. The study aimed to analyze and discuss the
current findings on the change in bearing eccentricity ratio. More than 100 related articles have
been summarized, and bearing behavior research results, such as lubrication and load-bearing characteristics,
are discussed. This paper discusses the progress of research on the eccentricity ratio
problem of fluid-lubricated bearings, as well as the effect of eccentricity ratio change on bearing
lubrication characteristics for bearings using different lubricating media. Active control measures
to mitigate the negative impact of changing bearing eccentricity ratios are also presented. After analyzing
and summarizing the relevant literature, it has been found that the eccentricity is one of the
important factors affecting the lubrication characteristics of bearings.
DeepFake Detection with Remote Heart Rate Estimation Using 3D Central
Difference Convolution Attention Network
Authors: Feng Xiao , Ma Hua , Sun Yijie
Published: March 2023

Objective:

As GAN-based deepfakes have become increasingly mature and realistic,
the demand for effective deepfake detectors has become essential. We are inspired by the fact that
normal pulse rhythms present in real-face video can be decreased or even completely interrupted
in a deepfake video; thus, we have introduced a new deepfake detection approach based on remote
heart rate estimation using the 3D Central Difference Convolution Attention Network
(CDCAN).

Methods:

Our proposed fake detector is mainly composed of a 3D CDCAN with an inverse attention
mechanism and LSTM architecture. It utilizes 3D central difference convolution to enhance
the spatiotemporal representation, which can capture rich physiological-related temporal context
by gathering the time difference information. The soft attention mechanism is to focus on the skin
region of interest, while the inverse attention mechanism is to further denoise rPPG signals.

Results:

The performance of our approach is evaluated on the two latest Celeb-DF and DFDC datasets,
for which the experiment results show that our proposed approach achieves an accuracy of
99.5% and 97.4%, respectively.

Conclusion:

Our approach outperforms the state-of-art methods and proves the effectiveness of
our DeepFake detector.
Nanomedicine Technology Trends in Pharmacology
Authors: Reddy B. M.
Published: March 2023

Nanotechnology deals with materials that are 1–100 nm in size.
Nanomaterials are prepared in different ways such as physical, chemical, and biological
methods. They exhibit fascinating features that allow them to perform numerous
physiological tasks. They have higher surface area to volume ratios and show typical
nanoscale quantum confinement characteristics. They play a critical role in biomedical
research. They're quite versatile and used in a variety of medical applications. The
demand for nanomedicine drugs with improved performance and reduced toxicity has
been steadily increasing in recent years. Nanomedicine is the new area of nanoscience
and nanotechnology. Pharmaceutical nanosystems are classified, synthesized, and
characterized using procedures based on their size, shape, and functionality. This book
chapter focuses on recent trends of nanomedicine technology in pharmacology,
particularly on the application of nanomaterials in medicine. Antibacterial
characteristics, multicolor medical imaging, disease diagnostics, medication
administration, vaccines and biomolecules (peptides, proteins, and genes), therapies,
cancer treatment, tissue engineering, and clinical aspects are discussed. Advancements
in nanomedicine technology will not only aid in the early diagnosis of infectious and
viral disorders, but also in the treatment of infections such as Alzheimer's disease,
tuberculosis, and Parkinson's disease. The benefits and constraints of commercializing
nanomedicine technology products for pharmacology applications, as well as the
hazards and obstacles in developing nanomaterials for medical research are highlighted
in this chapter.
Introduction to Python
Authors: Chopra Deepti , Khurana Roopal
Published: March 2023

Python is considered one of the most simple and efficient programming
languages. Its object-oriented programming approach and elegant syntax make it a
powerful programming language. Python is an interpreted language. Its dynamic typing
and high level data structures make it an ideal language for application development in
various areas and on multiple platforms. Today, Python is widely used in the areas of
machine learning and data science. The following chapter discusses Python, the utility
of Python in machine learning and data science, ecosystem of Python in machine
learning and various libraries in Python required for machine learning.
Introduction to Machine Learning with Python
Authors: Chopra Deepti , Khurana Roopal
Published: March 2023

Machine learning is a subfield of artificial intelligence, broadly defined as a machine's capability to imitate intelligent human behavior. Like humans, machines become capable of making intelligent decisions by learning from their past experiences. Machine learning is being employed in many applications, including fraud detection and prevention, self-driving cars, recommendation systems, facial recognition technology, and intelligent computing. This book helps beginners learn the art and science of machine learning. It presens real-world examples that leverage the popular Python machine learning ecosystem,

The topics covered in this book include machine learning basics: supervised and unsupervised learning, linear regression and logistic regression, Support Vector Machines (SVMs). It also delves into special topics such as neural networks, theory of generalisation, and bias and fairness in machine learning. After reading this book, computer science and engineering students - at college and university levels - will receive a complete understanding of machine learning fundamentals and will be able to implement neural network solutions in information systems, and also extend them to their advantage.
The Determinants of Environmental Quality in Indonesia
Authors:   Direktorat Inventarisasi Gas Rumas Kaca dan Monitoring, Pelaporan dan Verifikasi, Frengki Butarbutar Peris
Published: March 2023

Purpose This research analyzes the determinants of environmental quality in 32 Indonesian provinces in the period between 2013-2019. Design/methodology/approach This research method used an ordinal logistic regression analysis approach where the dependent variable consists of cumulative predicate categories based on the EQI assessment interval as determined by the Ministry of Environment and Forestry. Findings This study finds that the per capita GDRP and poverty have positive and significant effects on the Environmental Quality Index. However, The Human Development Index and expenditures in environmental and forestry functions have negative and significant effects. Research limitations/implications Based on the findings, the local and central government, through the Ministry of Environment and Forestry in cooperation with business people required to conduct the Environmental Impact Analyses, should participate in PROPER. Originality/value This study will show how the inter-components of economic development, social development, income and expenditure on environmental and forestry functions affect each category of the Environmental Quality Index (EQI) predicate.
Spectral-generation properties and mechanism of formation of intercaliated nanocomplexes "dye-cyclodextrin"
Authors: Anufrick S. S.  , Anuchin S. N.  , Tarkovsky V. V.
Published: February 2023

Spectral-generation properties and the mechanism of formation of "dye-cyclodestrin" inclusion complexes for dyes of different classes (rhodamine 6G, phenalemine 160, cresyl violet) with β-cyclodextrin were studied. The effect of functional groups in the structure of dye molecules on the spectral, generation, and photochemical properties of their inclusion complexes has been studied by electron and IR spectroscopy. It has been shown that the formation mechanism consists in the entry into the β-CD cavity of only individual functional groups and substituents of dye molecules. In this case, micellar complexes consisting of several cyclodextrin molecules and dye molecules and partially intercalated complexes can be formed. The AFM method showed that the characteristic sizes of the formed nanocomplexes are 100-600 nm. Keywords: laser dyes, β-cyclodextrin, inclusion complexes, lasing spectral characteristics, FT-IR spectroscopy, photostability.
Method of selection of objects on a hyperspectral image based on the analysys of their contours
Authors: Shipko V. V.  , Volobuev M. F.
Published: February 2023

A new method of spectral selection of given objects on hyperspectral images is considered. At the first stage of the method, hypotheses are tested using the Neyman-Pearson criterion about the presence of object contours in neighboring pixels relative to the simple alternative of their absence consistently over all spectral components. If a decision is made about the presence of a contour in at least one spectral channel, these pixels are analyzed at the second stage with respect to their distribution over the spectral range according to the criterion of maximum a posteriori probability density. Given the values of the mathematical expectation of the gradient difference between the spectral components, hypotheses are formed about the presence or absence of the contour of the desired object. The decision is made on the basis of a comparison of the decision statistics with the likelihood functions. The characteristics of detection and the results of experiments performed on real images are presented. Keywords: hyperspectral images, contour, gradient, likelihood function.
Modeling of resonance fluorescence excitation spectra of two different two-level interacting nanoparticles
Authors: Morozov V. A.
Published: February 2023

Numerical simulations of the excitation spectra of resonant fluorescence bound by the dynamic interaction of two different two-level nanoparticles have been performed. We considered the excitation of one of the particles by monochromatic light with a frequency close to the transition frequency of this particle, at an irradiation intensity leading to a small population of its excited state. The formalism for the description of resonance fluorescence by the Heitler--Ma method was applied to a complete compound system of the marked particle pair and quantized emission field. The resulting expressions for the excitation spectrum reflect consideration of the absorption of the fluorescence photon without attributing it to the emission of any one particle. Expressions for the excitation spectra when taking into account such absorption of the fluorescence photon that allows us to attribute it to the radiation of one or another of the particles were obtained by solving a modified system of equations of the Heitler--Ma method, which reflects the addition of non-interfering amplitudes of the emission field states of each particle. It was found that the shape of the excitation spectra of the stationary resonance fluorescence of the particles in question is determined by the shape of the corresponding intensity spectra of the spontaneous fluorescence of these particles. Keywords: mathematical modeling, interacting two-level nanoparticles, resonant fluorescence, excitation spectrum.
Optical Properties of Lead-Free Cs-=SUB=-2-=/SUB=-AgInCl-=SUB=-6-=/SUB=- : Bi/SiO-=SUB=-2-=/SUB=- Nanocrystals with Double Perovskite Crystal Structure
Authors: Miruschenko M. D.  , Timkina I. A.  , Nautran V. R.  , Margarian I. V.  , Grigoryev E. A.  , Cherevkov S. A.  , Ushakova E. V.
Published: February 2023

The optical characteristics of lead-free nanocrystals with a crystal structure of the double perovskite type with the chemical composition Cs2AgInCl6, doped with bismuth and coated with silicon dioxide were studied, and the possibility of their further application was shown. The optical properties of the nanocrystals under study are analyzed by absorption and luminescence spectroscopy, including those with time resolution. Images were obtained using a scanning electron microscope. The influence of the amount of silicon dioxide precursor addition on the optical properties and morphology of lead-free nanocrystals was established. It is shown that the observed broad photoluminescence band is associated with the occurrence of self-trapped excitons in such nanocrystals. To demonstrate the possibility of practical application of these nanocrystals a light-emitting device based on them was developed and constructed. The light emitting device has a wide emission spectrum close to warm white light. Keywords: LEDs, lead-free perovskites, double perovskites, nanocrystals, photoluminescence.
Investigation and calculation of two-component chromatic aberration compensator
Authors: Andreev L. N.  , Tsyganok H. A.  , Soshnicova J. B.  , Kozhina A. D.
Published: February 2023

The chromatic aberrations compensator from two hyperchromatic lenses has been investigated. Dependencies of values of chromatic aberrations from parameters of the two-component compensator have been obtained. On the basis of theoretical data, an aberration compensator for high-aperture immersion achromatic microscope lenses has been calculated. Keywords: microscope lens, achromate, chromatic aberration, hyperchromatic lenses, chromatism of magnification - transverse chromatic aberration.
Relaxation and polarization oscillations in a wide-aperture bistable laser with a saturable absorber
Authors: Sergey V Fedorov  , Rosanov N. N.  , Nikolay A Veretenov
Published: March 2023

The regions of stability of homogeneous generation regimes in a wide-aperture laser with a saturable absorber, including a semiconductor laser with a vertical output of radiation, are determined depending on the relative relaxation rate of carriers in active and passive media and on the frequency detunings of working transitions in these media with a resonant frequency of radiation, taking into account its polarization state. The excitation thresholds for relaxation and polarization oscillations are determined within the four-level model. Keywords: wide-aperture laser, saturable absorber, relaxation and polarization oscillations
Investigation of the system AgBr-AgI optical materials volt-ampere characteristics
Authors: Turabi A.  , Akif’eva N. N.  , Korsakov A. S.  , Zhukova L. V.  , Yuzhakova A. A.  , Salimgareev D. D.  , Zelenkova J. O.
Published: March 2023

IR light guides based on crystals and ceramics of the AgBr-AgI system are transparent in the mid-infrared range from 2 to 25 μm, which is in demand for thermal imaging, laser technology and spectroscopy. High photo- and radiation resistance makes these materials particularly attractive. For the design of optical equipment, information is needed on the electrical properties of the material, which are most fully characterized by the current-voltage characteristic (VAC). In this work, the dependence of VAC of the studied materials in the range of compositions from 5 to 80 mol.% AgI in the system AgBr-AgI on the composition of the material and temperature in the range of 298-453 K. It has been established that an increase in the iodine content for crystalline materials of AgBr-AgI systems leads to a decrease in electrical conductivity. The values of specific conductivity under equal conditions (the same temperature and the same applied voltage) for ceramics of the AgBr-AgI system are two to three orders of magnitude higher than for crystals. The values of specific conductivity for ceramics are at the level of conductivity of solid electrolytes. At the temperature of the β-AgI-α-AgI phase transition in ceramics of the AgBr-AgI systems, a jump in conductivity is observed, which is explained by the β-AgI-α-AgI phase transition. Keywords: Solid solutions of the AgBr-AgI system, current-voltage characteristic, specific conductivity
Determination of the polymerization depths of lead-free piezoceramic pastes for UV 3D printing
Authors: Tikhonov A.  , Chugunov S.  , Shishkovsky I.V.
Published: March 2023

In present study, the polymerization depths for the implementation of the laser stereolithography process in the system (oligomer - piezoceramics) on the wavelengths of 445-465 nm UV range were determined in the original BTO, KNN and NBT lead-free piezoceramic pastes. It was shown that powder pastes, which provide a polymerization depth more than 150 μm, are promising for using in 3D printing. Such depth was chosen to guarantee a sufficient overlap of neighboring layers during polymerization, at the laser beam velocity speed from 1 m/s and the distance between the laser paths of 50 μm. For NBT pastes, successful photo polymerization was carried out for the first time, and for KNN paste the process performance was significantly increased. Keywords: lead-free piezoceramics, stereolitography (SLA) - based ceramics 3D printing, UV- curing and bandwidths
Effect of Post Heat-treatment on Spectral Shifts Photopolymer Reflection Holograms and Its Use for Creating Color Holograms
Authors: Shelkovnikov V.V.  , Derevyanko D. I.  , Pen E. F.
Published: March 2023

The effect of post heat-treatment on the spectral properties of photopolymer reflection holograms scheme has been studied. It has been established that holograms with protective film retain a high diffraction efficiency of ~ 90% and do not have additional shrinkage during heat treatment for several days at a temperature of 80-90oC. The holograms without a protective film, removed after exposition, when heated in the temperature range of 40-110oC, show effective shrinkage up to 17% without compromising diffraction efficiency. Addiction the degree of shrinkage from the time of keeping the hologram at a given temperature is described by the function biexponential growth with saturation. The parameters of the approximating function are calculated. The characteristic shrinkage times in the temperature range of 40-110oC decrease from hours to minutes for fast components and from tens of days to tens of minutes for the slow component. Effect large shift of spectral response was used to create color-separated holograms. Color-separated holograms were obtained in two ways: two-layer version with shrinkage of one of the layers, single-layer version using photoresistive pattern and subsequent shrinkage. Keywords: reflection photopolymer holograms, thermal shrinkage, spectral shifts, color holograms
Gold nanostars for SERS mapping of tissues using red medical lasers
Authors: Svinko V. O.  , Shevchuk A. I.  , Smirnov A. N.  , Makeeva D. V.  , Solovyeva E. V.
Published: March 2023

Star-shaped gold nanoparticles modified with cyanine 5.5 derivatives were studied as optical tags for bioimaging by surface-enhanced Raman scattering (SERS). Obtained tags showed a plasmon resonance band at 640 nm in the absorption spectra which ensures them a maximum efficiency when excited by red lasers. SERS measurements were carried out for the modified particles in the solution phase and after incubation with the PANC-1 cell line. The SERS spectra of the solutions revealed a characteristic signal of cyanine 5.5 amino derivative in the range of 100-1000 cm-1, where there is no high fluorescent background. In cell samples, the SERS spectrum of the dye was recorded from the cytoplasm and was not detected outside the cells. In order to confirm the intracellular localization of the tags, the SERS spectra were also scanned in height. The test on cytotoxicity showed that the studied tags are not toxic in the concentration range from 0.05 to 1 mg/l on atomic gold. Keywords: surface-enhanced Raman scattering, gold nanostar, cyanine, optical tags, bioimaging
Влияние внезапного сужения плоского канала на вынужденную конвекцию в турбулентном газокапельном течении
Authors: Пахомов М.А. , Терехов В.И.
Published: March 2023

Numerical modeling of the flow structure and heat transfer in a gas-droplet turbulent flow in a duct with forward-facing step is carried out. The two-dimensional RANS equations are used in the numerical solution. The Eulerian two-fluid approach is used for describing the flow dynamics and heat transfer in the gaseous and dispersed phases. The turbulence of the carrier phase is described using an elliptical Reynolds stress model with taking the presence of dispersed phase. It is shown that finely-dispersed droplets are involved in the separation recirculation motion of the gas phase. The addition of evaporating droplets to a single-phase turbulent flow in the forward-facing step leads to a significant intensification of heat transfer (more than 2 times) compared to a single-phase air flow, all other things being equal. This effect is enhanced with an increase in the initial mass fraction of the water droplets.
Контроль наносекундных сгустков протонов в магнитоизолированном ионном диоде по резонансным ядерным реакциям радиационного захвата протонов
Authors: Рыжков В.А. , Степанов А.В.
Published: March 2023

To calibrate the detection efficiency of a plastic scintillator that detects prompt gamma quanta from the 19F(p,αγ)16O resonant reaction of radiative proton capture and is used to control the dynamics of the arrival of protons with an energy of about 340 keV accelerated by a magnetically isolated pulsed ion diode, a change the polarity of the diode electrodes to the reverse was used, at which electron bunches were accelerated in the geometry of the Luce diode, forming virtual cathodes. The virtual cathodes in the Luce diode collectively accelerated protons to an energy of about 500 keV, the value of which was determined from the drift velocity of these virtual cathodes, while the number of such protons was determined from the activity of the 13N radionuclide induced by the 457 keV resonance of the 12C(p,γ)13N reaction.
Edge Magic Total Labeling of complete bipartite graph and its applications in scheduling of nurses in HealthCare systems (Preprint)
Authors: C S Jr Jr Madhu
Published: February 2023

UNSTRUCTURED

Nurse scheduling is the task that helps in assigning nurses to the particular shift for a specific room. Nowadays,as the medical field is growing widely in a rapid manner there are few challenges faced in it. One of them would be the scheduling of work to specific people at the specific time because in hospital people's presence is required for all 24 hours. Among those one of the categories we are concentrating is Nurse's. Assigning shift for each of them and also
fulfilling both hospitals and the nurse's requirement would be a major challenge.

Sometimes when this scheduling is done manually it might end up in a situation wherein there might be violation of the hospital criterias or might not be able to fulfill some other person's (nurse) request.So this Nurse scheduling will help to clear out such problems. Nurse scheduling helps in assigning nurses to the shifts. This includes 3 nurses in 3 shifts per day that is morning, afternoon and night shift respectively. The scheduling of shifts is done each day as per the EMTL table. One among 3 nurses can have 1 requirement each week . And only one among 3 nurses can apply for a request for a requirement on that particular day.
Stochastic Unit Commitment in Various System Sizes under High Uncertainty Photovoltaic Forecast
Authors: Muhammad Yasirroni  , Lesnanto Multa Putranto  , Sarjiya  , Husni Rois Ali  , Indra Triwibowo  , Qiangqiang Xie
Published: March 2023

This paper proposes a stochastic unit commitment (SUC) approach to solve a day-ahead unit commitment (UC) problem in a system with high uncertainty net load which is caused by photovoltaic (PV) power plants. In contrast with robust unit commitment (RUC) which only considers the worst-case scenario, SUC considers every possible scenario with its probability. Multiple possible PV curves were obtained using k-means clustering on historical data. The proportion of cluster members was used as a weight factor representing the occurrence probability of PV curves. The test was separated into two-step tests, namely day-ahead and real-time markets, using IEEE 10 generating unit system and solved using CPLEX. The results showed that in a day-ahead UC, SUC ($539,896) had lower cost than RUC ($548,005). However, when the total energy generated was considered, the SUC (20.78 $/MWh) cost higher compared to RUC (20.75 $/MWh). It is because the solution proposed by SUC is as robust as the RUC, but the generation cost formulation also considers over-commitment. Thus, SUC produced a fairer price for the independent power producer and electric utility in the day-ahead calculation. The results also showed that in the test environment of the real-time market, SUC was able to produce a robust solution without going into over-commitment. It is clearly shown in a 30 units system test with 10 centroids, in which SUC had a cheaper solution (20.7253 $/MWh) compared to RUC (20.7285 $/MWh), without violating power balance or going to load shedding.
Subarray 4×4 untuk Antena MIMO 5G dengan Elemen yang Menerapkan Teknik Parasitic
Authors: Fitri Amillia  , Eko Setijadi  , Gamantyo Hendrantoro
Published: March 2023

Multiple-input multiple-output (MIMO) merupakan sistem komunikasi nirkabel yang menggunakan banyak antena di sisi pemancar maupun penerima. Sistem ini dapat meningkatkan kualitas komunikasi nirkabel pada jaringan teknologi 5G. Teknologi 5G memiliki kecepatan data yang sangat tinggi dan tunda (delay) yang sangat rendah. Jaringan 5G di Indonesia menggunakan frekuensi menengah, yaitu pada pita frekensi 3,5 GHz. Antena  merupakan perangkat yang penting di jaringan nirkabel sistem MIMO. Oleh karena itu, penelitian ini mengusulkan perancangan elemen tunggal menggunakan teknik parasitic untuk memperlebar lebar bidang (bandwidth) guna memenuhi kebutuhan antena MIMO dan perancangan antena subarray 4×4 untuk MIMO 5G. Metode yang dilakukan pada penelitian ini diawali dengan menentukan spesifikasi target antena, kemudian melakukan perancangan elemen tunggal dengan parasitic patch. Penggunaan teknik parasitic patch pada elemen antena bertujuan untuk memperlebar bandwidth supaya memenuhi spesifikasi target. Frekuensi resonansi antena mikrostrip dipengaruhi oleh penambahan jumlah parasitic patch. Banyaknya frekuensi resonansi yang timbul menghasilkan bandwidth yang lebar. Kemudian, elemen tunggal dengan parasitic patch disusun menjadi subarray 4×4. Semua elemen disusun dalam satu substrat yang sama dengan jarak antarelemen dari titik pencatuan satu ke titik pencatuan lainnya sebesar 64,28 mm atau 0,75λ. Desain subarray sudah memenuhi target spesifikasi antena jika elemen subarray sudah mempunyai fractional bandwidth lebih dari 20% dan mutual coupling kurang dari −20 dB. Bahan yang digunakan dalam desain dan fabrikasi antena adalah substrat FR-4 (epoxy) dengan konstanta dielektrik (Ɛr) 4,3 dan ketebalan substrat (h) 1,6 mm. Hasil menunjukkan bahwa diperoleh bandwidth sebesar 735 MHz atau fractional bandwidth sebesar 20,35%, return loss  14,65 dB, mutual coupling 30,05 dB, dan gain 16,86 dB. Dengan demikian, subarray 4×4 untuk antena MIMO yang dirancang sudah memenuhi spesifikasi yang diinginkan.
Sistem Deteksi Masker Berbasis Jetson Nano dengan Deep Learning Framework TensorFlow
Authors: Muhammad Luqman Bukhori  , Erwan Eko Prasetiyo
Published: March 2023

Indonesia merupakan salah satu negara yang mengalami dampak virus COVID-19. Segala upaya dilakukan untuk menanggulangi penyebaran virus ini. Salah satu langkah yang efisien guna menanggulangi dampak ini adalah dengan menerapkan protokol kesehatan yang ketat dan pemakaian masker dengan benar. Pemantauan penggunaan masker terus dilakukan di gedung perkantoran, supermarket, maupun ruang publik lainnya. Peran pengawas sangat diperlukan untuk mengawasi pemakaian masker dengan benar. Namun, seorang pengawas mempunyai keterbatasan dalam melakukan pengawasan, sehingga menimbulkan celah bagi orang-orang untuk tidak mematuhi aturan pemakaian masker dengan benar. Oleh karena itu, perlu adanya sistem yang bekerja secara otomatis untuk membantu pengawas dalam memantau pemakaian masker dengan benar. Tujuan makalah ini adalah merancang sebuah computer vision yang dapat mendeteksi seseorang bermasker atau tidak menggunakan deep learning framework TensorFlow. TensorFlow digunakan karena efisiensinya dalam mengolah data citra digital. Klasifikasi data citra digital pada TensorFlow menggunakan struktur deep learning Keras, sehingga ringan dan mampu digunakan pada perangkat tertanam seperti Jetson Nano untuk mendeteksi penggunaan masker secara real-time. Tahapan sistem pendeteksian masker terdiri atas pengumpulan dataset citra, ekstraksi ciri, pemisahan data, pembuatan model, pelatihan model, dan penerapan model. Deep learning framework TensorFlow memproses data citra secara langsung melalui kamera web (webcam). Ketika kamera menangkap objek orang yang sedang tidak menggunakan masker dengan benar, layar monitor menampilkan kotak merah pada wajah. Tanda ini dapat membantu pengawas saat melakukan pengawasan. Hasil pengujian menunjukkan bahwa sistem berhasil mendeteksi dengan benar orang yang tidak menggunakan masker, dengan akurasi sebesar 99,48%. Selain itu, sistem juga berhasil mendeteksi orang yang memakai masker dengan benar dan mendapatkan rata-rata akurasi sebesar 99,12%. Monitor akan menampikan kotak hijau pada wajah jika orang yang dideteksi memakai masker dengan benar.
Optimasi Klasifikasi Fonem Menggunakan Backpropagation Neural Network dan Principal Component Analysis
Authors: Clara Maria Livia Suitela  , Aripin  , Erika Dina Permata  , Muzalfa Nakiatun Niza  , Naeli Laelal Khiaroh
Published: March 2023

Fonem merupakan bunyi terkecil dari suatu ucapan yang tidak memiliki pengertian, tetapi memiliki peranan terpenting untuk membentuk suatu arti. Identifikasi fonem dari sebuah video tentang seorang aktor yang sedang mengucapkan kalimat-kalimat berbahasa Indonesia merupakan bagian penting dalam pengembangan aplikasi visual-to-text. Aplikasi ini dapat menerjemahkan gerakan mulut dari sebuah video menjadi rangkaian teks berbahasa Indonesia, sehingga dapat membantu mempermudah komunikasi bagi para penyandang tunarungu. Penelitian ini bertujuan untuk mengoptimasi kinerja proses klasifikasi terhadap data citra sebanyak 32 fonem dari hasil ekstraksi video, sehingga dapat digunakan untuk mendukung proses identifikasi fonem untuk mewujudkan aplikasi visual-to-text dalam bahasa Indonesia. Algoritme klasifikasi yang digunakan dalam penelitian ini adalah backpropagation neural network. Beberapa upaya yang diusulkan untuk mengoptimasi kinerja proses klasifikasi di antaranya adalah dengan menggunakan perbandingan proporsi dataset, estimasi jumlah lapisan tersembunyi, dan reduksi dimensi dataset menggunakan metode principal component analysis untuk mengurangi jumlah data yang dianggap kurang penting tanpa mengurangi tingkat informasinya. Dimensi data sebelum direduksi sebesar 1.280 × 7.100 matriks data dan setelah direduksi menjadi 1.280 × 50 matriks data. Hasil akurasi yang diperoleh pada optimalisasi data menggunakan principal component analysis yaitu sebesar 87,16% dengan proporsi data 8:2 dan digunakan sebanyak 50 data penting dalam proses optimalisasi data menggunakan principal component analysis.
Study of the Effect of Magnetic Abrasive Finishing on the Material Removal of AA1100 Aluminum Alloy
Authors: Majeed Mariam , H.Khadum Ali , Al-Zubaidi Salah
Published: March 2023

This study evaluates the performance of magnetic abrasive finishing (MAF) of aluminum alloy in terms of achieving materials removal (MR). A vertical milling machine is used to perform the finishing process using a developed MAF unit that consists of an inductor made out of a 150 mm long and 20 mm diameter iron core wound with 1500 turns and 0.5 mm copper wire. The commutator and magnetic pole are attached at the top and bottom of the inductor, respectively. The required current is supplied using a DC power supply. The South Pole workpiece is a 100×50×3 mm3 plate of AA 1100 aluminum alloy, whereas the magnetic pole represented the North Pole. Pole rotational speed, applied current, and abrasive finishing time was selected as input parameters of the MAF with three-level of (270, 600. 930 rpm; 0.5, 1, 1.5 Amp; 6,9,12 min). The L9 orthogonal array of the Taguchi method was utilized to examine the impact of each independent input.  The obtained results clarify that applied current was the most effective factor in terms of its contribution (63.16%) in the produced MR, followed by time finishing and rotational speed.
A Systematic Review on Teacher Digital Literacy in Higher Education
Authors: Wang Haiying , BAEK Jongnam
Published: March 2023

In order to conduct a conceptual review, and to discover the topics and categories of research, this study firstly searches the Google Scholar database, and then conducts a specific analysis of the 17 publications, hoping to explore the overall research that constitutes the topic of digital literacy for teachers in the university setting, to understand whether the concept needs to be continuously defined. The relative theoretical framework and key components to guide teacher digital literacy in the context of higher education have not yet been formed. It is necessary to continue to review the concept and key components of digital literacy for teachers in higher education in the future, providing a perspective for digital transformation research in higher education institutions.