bluuebunny/crossref_metadata_2025 huggingface dataset:
Design, Synthesis, and Antimicrobial Evaluation of Novel Sulfonamide Modified with
Azoles
Authors: Periwal Pratibha , Kumar Ashwani , Verma Vikas , Kumar Devinder , Parshad Mahavir , Bhatia Meenakshi , Thakur Sourbh
Published: March 2024

Sulfonamide, imidazole, and triazole chemical nuclei possess good antimicrobial
potential. This study aimed to amalgamate sulfonamide, imidazole, and triazole moieties in a
single molecular framework with the intent of improving their antimicrobial activities. The
objective of this study was the synthesis of conjugates containing sulfonamide and azole
moieties along with in vitro and in silico evaluation as antimicrobial candidates. A series of
sulfonamide-modified azoles (7a-r) was synthesized by multicomponent condensation of
1,2-dicarbonyl compounds, ammonium acetate and aryl-substituted aldehydes in glacial
acetic acid. The structure of synthesized molecules was elucidated with the help of various
spectroscopic techniques, such as FTIR, NMR, and HRMS. The target molecules were tested
for in vitro antimicrobial potency against four bacterial strains and two fungal strains. Molecules 7c (MIC
0.0188 μmol/mL), 7f (MIC 0.0170 μmol/mL) and 7i (MIC 0.0181 μmol/mL) were most active against S. aureus
and C. albicans. Against E. coli, molecules 7d (MIC 0.0179 μmol/mL), 7f (MIC 0.0170 μmol/mL) and 7i (MIC
0.0181 μmol/mL) were found to be highly active. Moreover, the binding conformations were investigated by insilico
molecular docking, and QTAIM (Quantitative theory of atoms in the molecule) analysis was also performed.
Molecular properties, such as the heat of formation, HOMO energy, LUMO energy and COSMO volume,
were found to be in direct correlation with the antimicrobial potency of molecules 7c, 7f and 7i against S.
aureus and C. albicans. All the synthesized molecules were more potent than clinically approved sulfonamides,
namely sulfadiazine and sulfabenzamide.
Importance and Green Synthesis of Amines: A Review
Authors: Patel Ashok Raj , Patel Ishwar , Banerjee Subhash
Published: March 2024

Amines are “derivatives of ammonia” and important key intermediates for applications
in the industrial, pharmaceutical, electronics, etc. They have been used to synthesize
industrially important azo dyes, which are used to color various materials. Moreover, amine
functionality is present in several important biological molecules. Biogenic amines are
found in living organisms and play essential physiological functions in the body. They are
prepared from the amination and transamination reaction of carbonyl compounds such as
aldehydes and ketones and the decarboxylation reaction of amino acids. Thus, the various
applications and requirements of essential amine scaffolds paid attention to researchers to
develop novel synthetic protocols to synthesize these compounds. In organic chemistry,
various methods synthesize amines; however, green synthetic methods have recently become
a trend. By writing this review, our main focus was to provide a brief on the importance of some biogenic
amines and the synthesis of both amines via green synthetic methods.
Unlocking the Potential of RNA Nanoparticles: A Breakthrough Approach
to Overcoming Challenges in Colon Cancer Treatment
Authors: Karati Dipanjan , Mukherjee Swarupananda , Basu Biswajit , Garala KevinKumar , Dutta Ayon , G. Prajapati Bhupendra , Bhattacharya Sankha
Published: March 2024

Globally, one of the leading causes of cancer-related deaths is colon cancer. As this
form of cancer has a tremendous potential to metastasize, effective treatment is complicated
and sometimes impossible. Despite the improvement of conventional chemotherapy and the
advent of targeted therapies, overcoming multi-drug resistance (MDR) and side effects remain
significant challenges. As a therapeutic intervention for targeted gene silencing in cancer,
RNA technology shows promise and certain RNA-based formulations are currently undergoing
clinical studies. Various studies have reported that RNA-based nanoparticles have demonstrated
substantial promise for targeted medication delivery, gene therapy, and other biomedical
applications. However, using RNA as a therapeutic tool presents severe limitations, mainly
related to its low stability and poor cellular uptake. Nanotechnology offers a flexible and tailored
alternative due to the difficulties in delivering naked RNA molecules safely in vivo, such
as their short half-lives, low chemical stability, and susceptibility to nuclease degradation. In
addition to shielding RNA molecules from immune system attacks and enzymatic breakdown,
the nanoparticle-based delivery systems allow RNA accumulation at the tumor site. The potential
of RNA and RNA-associated nanomedicines for the treatment of colon cancer, as well
as the prospects for overcoming any difficulties related to mRNA, are reviewed in this study,
along with the current progress of mRNA therapeutics and advancements in designing nanomaterials
and delivery strategies.
Whole Transcriptome Sequencing of Peripheral Blood Identifies the
Alzheimer's Disease-Related circRNA-miRNA-lncRNA Pathway
Authors: Gu Yucheng , Chen Nihong , Zhu Lin , Chen Xiangliang , Jiang Teng , Zhang Yingdong
Published: March 2024

Background::

Previous studies on transcriptional profiles suggested dysregulation of
multiple RNA species in Alzheimer’s disease. However, despite recent investigations revealing
various aspects of circular RNA (circRNA)-associated competing endogenous RNA (ceRNA)
networks in Alzheimer's Disease (AD) pathogenesis, few genome-wide studies have explored
circRNA-associated profiles in AD patients exhibiting varying degrees of cognitive loss.

Objective::

To investigate the potential pathogenesis-related molecular biological changes in the
various stages of AD progression.

Methods::

Whole transcriptome sequencing was performed on the peripheral blood of 7 normal
cognition (NC) subjects, 8 patients with mild cognitive impairment, 8 AD patients with mild
dementia (miD), and 7 AD patients with moderate dementia (moD). Gene Ontology (GO) analysis
and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted
to predict the potential functions of the maternal genes of microRNAs (miRNAs), circRNAs and
long non-coding RNAs (lncRNAs). The construction of ceRNA network was performed between
the NC group and each diseased group based on the differently expressed RNAs.

Results::

In total, 3568 messenger RNAs (mRNAs), 142 miRNAs, 990 lncRNAs, and 183
circRNAs were identified as significantly differentially expressed across the four groups. GO
and KEGG enrichment analysis revealed the significant roles of GTPase activity and the MAPK
signaling pathway in AD pathogenesis. A circRNA-miRNA-lncRNA ceRNA pathway, characterized
by the downregulated hsa-miR-7-5p and upregulated hsa_circ_0001170, was identified
based on the differentially expressed RNAs between the NC group and the moD group.

Conclusion::

The study suggests that circRNAs may be independent of mRNAs in AD pathogenesis
and holds promise as potential biomarkers for AD clinical manifestations and pathological
changes.
Optimization of Malabar Nut (Justicia adhatoda L.) Leaves’ Phenolic Compounds by Alginate Emulsion-gelation Approach using Response Surface Methodology
Authors: Chebout Afaf , Ydjedd Siham , Chaalal Makhlouf , Himed Louiza
Published: March 2024

Background:

The encapsulation technique is an effective method for coating bioactive
molecules and protecting them against various technological treatment conditions during production processing.

Objective:

The aim of this study was to optimize the encapsulation conditions of phenolic compounds extracted from Malabar nut (Justicia adhatoda L.) leaves by alginate emulsion-gelation
approach using response surface methodology

Methods:

The ionotropic gelation method was used to encapsulate the phenolic compounds of
Malabar nut (Justicia adhatoda L.) leaves. The optimization of this phenolic compounds encapsulation was carried out using response surface methodology through Box˗Behnken design. Four
parameters with three levels (-1, 0, +1) were chosen including sodium alginate concentration
(2 – 3 - 4%), calcium chloride concentration (4 - 6 - 8%), plant extract-alginate solution ratio
(0.02 – 0.11 - 0.2 mg/ml), and gelation time (5 – 12.5 - 20 min). of the total phenolic and flavonoid contents encapsulation efficiency was assessed. Likewise, the antioxidant activity was evaluated using ferric-reducing power (FRP) and free radical scavenging activity (DPPH).

Results:

The results of response surface methodology analysis using Box˗Behnken design
showed that the optimal encapsulation conditions were 3.11% for alginate concentration, 5.74%
for calcium chloride concentration, 0.1 mg/ml for the plant extract-alginate solution ratio, and
10.80 min for gelation time. Under these conditions, the optimum values of total phenolic and
flavonoid encapsulation efficiency were 86.17% and 75.69%, respectively, 126.75 mg AAE/100
g for ferric reducing power and 97.29% for DPPH. The experimental and prediction results have
expressed a high significant level for all responses.

Conclusion:

The method revealed the validity of elaborated models through response surface
methodology optimization processes for phenolic antioxidants encapsulation of Malabar nut
(Justicia adhatoda L.) leaves extract.
The impacts of the internet of things and artificial intelligence on logistics in supply chain management
Authors:   College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia, Alheadary Wael G.
Published: March 2024

The transportation and management of goods industry, along with the operations of many related companies, could be significantly transformed by two fast-developing technologies: the internet of things (IoT) and artificial intelligence (AI). In more detail, for overseeing the movement and storage of goods in this sector, various strategies and structures have been suggested in academic writings. However, these suggestions often overlook how IoT and AI can be combined. To address this oversight, the present study introduces a new approach named IoT-AI-SCM, created using design science. This approach brings together the mentioned technologies within the management of supply chains. The method applied in this study is known as the design science method. The approach we developed is outlined in five key steps: 1) utilizing sensors and devices enabled by IoT, 2) gathering and connecting data, 3) storing and processing data using cloud technology, 4) applying AI, 5) analyzing and predicting outcomes, and 6) smart planning and improvement. By implementing this proposed approach, a company can reimagine its supply chain and logistics management using the essential features of IoT and AI.
Chrysoperla externa H. (Neuroptera: Chrysopidae) como controlador biológico de Strepsicrates smithiana W. (Lepidoptera: Tortricidae), en el cultivo de guayaba
Authors: Canacuán Nasamuez Doris Elisa , Carabalí Muñoz Arturo
Published: March 2024

Chrysoperla externa, es considerada una especie de importancia en el control biológico de insectos de cuerpo blando como, áfidos, trips, larvas de lepidópteros. Strepsicrates smithiana, una de las principales plagas en el cultivo de guayaba. El daño lo ocasionan los inmaduros al alimentarse de brotes, ocasionando defoliación, amarillamiento y muerte de terminales vegetativos, interrumpiendo el desarrollo del brote y formación de yemas. Actualmente el manejo de S. smithiana se basa en aplicaciones químicas, práctica poco eficiente dado los hábitos de vida del insecto, además ocasiona deterioro del medio ambiente y reducción de enemigos naturales, acciones que contribuyen a la permanencia y dispersión de la plaga en áreas de producción de guayaba. El objetivo del estudio fue evaluar la eficiencia depredadora de C. externa sobre estados larvales de S. smithiana, bajo condiciones de laboratorio y campo.
Characteristics of Users of a Digital Hypnotherapy Intervention for Hot Flashes: Retrospective Study
Authors: Snyder Morgan , Elkins Gary R
Published: March 2024

Background

Hot flashes are associated with a lower quality of life and sleep disturbances. Given the many consequences of hot flashes, it is important to find treatments to reduce them. Hypnotherapy, the use of hypnosis for a medical disorder or concern, has been shown in clinical trials to be effective in reducing hot flashes, but it is not routinely used in clinical practice. One solution to close this implementation gap is to administer hypnotherapy for hot flashes via a smartphone app. Evia is a smartphone app that delivers hypnotherapy for hot flashes. Evia has made hypnotherapy more widely accessible for women who are experiencing hot flashes; however, the app has yet to undergo empirical testing. Additionally, research on user characteristics is lacking.

Objective

This study aims to (1) determine the average age, stage of menopause, and length of menopause symptoms for users of the Evia app; (2) determine the characteristics of hot flashes and night sweats for users of the Evia app; (3) determine the self-reported sleep quality of users of the Evia app; (4) determine the self-reported mental health of users of the Evia app; and (5) determine the relationship between hot flash frequency and anxiety and depression for users of the Evia app.

Methods

This study analyzed data collected from participants who have downloaded the Evia app. Data were collected at 1 time point from a self-report questionnaire that assessed the demographic and clinical characteristics of users. The questionnaire was given to users when they downloaded the Evia app. Users of the Evia app fill out a questionnaire upon enrolling in the program and prior to beginning the intervention. This included 9764 users.

Results

Results showed that the mean age of users was 49.31 years. A total of 41.6% (1942/4665) of users reported experiencing 5 or more hot flashes per day, while 51.2% (1473/2877) of users reported having difficulty falling asleep each night and 47.7% (1253/2626) of users reported their sleep quality to be terrible. In addition, 38.4% (1104/2877) of users reported that they often feel anxious or depressed. There was a small, significant, and negative correlation between hot flash frequency and self-report frequency of anxiety and depression (r=–0.09).

Conclusions

This study showed that the average age of app users is in line with the median age of natural menopause. A large percentage of users reported experiencing 5 or more hot flashes per day, reported difficulties with sleep, and reported experiencing depression and anxiety. These findings are in line with previous studies that assessed hot flash frequency and the consequences of hot flashes. This was the first study to report on the characteristics of users of the Evia app. Results will be used to optimize the hypnotherapy program delivered via the Evia app.
A Personalized and Interactive Web-Based Advance Care Planning Intervention for Older Adults (Koda Health): Pilot Feasibility Study
Authors: Roberts R Lynae , Cherry Katelin D , Mohan Desh P , Statler Tiffany , Kirkendall Eric , Moses Adam , McCraw Jennifer , Brown III Andrew E , Fofanova Tatiana Y , Gabbard Jennifer
Published: March 2024

Background

Advance care planning (ACP) is a process that involves patients expressing their personal goals, values, and future medical care preferences. Digital applications may help facilitate this process, though their use in older adults has not been adequately studied.

Objective

This pilot study aimed to evaluate the reach, adoption, and usability of Koda Health, a web-based patient-facing ACP platform, among older adults.

Methods

Older adults (aged 50 years and older) who had an active Epic MyChart account at an academic health care system in North Carolina were recruited to participate. A total of 2850 electronic invitations were sent through MyChart accounts with an embedded hyperlink to the Koda platform. Participants who agreed to participate were asked to complete pre- and posttest surveys before and after navigating through the Koda Health platform. Primary outcomes were reach, adoption, and System Usability Scale (SUS) scores. Exploratory outcomes included ACP knowledge and readiness.

Results

A total of 161 participants enrolled in the study and created an account on the platform (age: mean 63, SD 9.3 years), with 80% (129/161) of these participants going on to complete all steps of the intervention, thereby generating an advance directive. Participants reported minimal difficulty in using the Koda platform, with an overall SUS score of 76.2. Additionally, knowledge of ACP (eg, mean increase from 3.2 to 4.2 on 5-point scale; P<.001) and readiness (eg, mean increase from 2.6 to 3.2 on readiness to discuss ACP with health care provider; P<.001) significantly increased from before to after the intervention.

Conclusions

This study demonstrated that the Koda Health platform is feasible, had above-average usability, and improved ACP documentation of preferences in older adults. Our findings indicate that web-based health tools like Koda may help older individuals learn about and feel more comfortable with ACP while potentially facilitating greater engagement in care planning.
Development of a Consolidated Health Facility Masterlist Using Data From Polio Electronic Surveillance in the World Health Organization African Region
Authors: Babona Nshuti Marie Aimee , Touray Kebba , Muluh Ticha Johnson , Ubong Godwin Akpan , Ngofa Reuben Opara , Mohammed Bello Isa , Roselyne Ishimwe , Oviaesu David , Bakata Evans Mawa Oliver , Lau Fiona , Kipterer John , Green Hugh Henry W , Seaman Vincent , Ahmed Jamal A , Ndoutabe Modjirom
Published: March 2024

Geospatial data reporting from surveillance and immunization efforts is a key aspect of the World Health Organization (WHO) Global Polio Eradication Initiative in Africa. These activities are coordinated through the WHO Regional Office for Africa Geographic Information Systems Centre. To ensure the accuracy of field-collected data, the WHO Regional Office for Africa Geographic Information Systems Centre has developed mobile phone apps such as electronic surveillance (eSURV) and integrated supportive supervision (ISS) geospatial data collection programs. While eSURV and ISS have played a vital role in efforts to eradicate polio and control other communicable diseases in Africa, disease surveillance efforts have been hampered by incomplete and inaccurate listings of health care sites throughout the continent. To address this shortcoming, data compiled from eSURV and ISS are being used to develop, update, and validate a Health Facility master list for the WHO African region that contains comprehensive listings of the names, locations, and types of health facilities in each member state. The WHO and Ministry of Health field officers are responsible for documenting and transmitting the relevant geospatial location information regarding health facilities and traditional medicine sites using the eSURV and ISS form; this information is then used to update the Health Facility master list and is also made available to national ministries of health to update their respective health facility lists. This consolidation of health facility information into a single registry is expected to improve disease surveillance and facilitate epidemiologic research for the Global Polio Eradication Initiative, as well as aid public health efforts directed at other diseases across the African continent. This review examines active surveillance using eSURV at the district, country, and regional levels, highlighting its role in supporting polio surveillance and immunization efforts, as well as its potential to serve as a fundamental basis for broader public health initiatives and research throughout Africa.
Efficacy of eHealth Versus In-Person Cognitive Behavioral Therapy for Insomnia: Systematic Review and Meta-Analysis of Equivalence (Preprint)
Authors: Knutzen Sofie Møgelberg , Christensen Dinne Skjærlund , Cairns Patrick , Damholdt Malene Flensborg , Amidi Ali , Zachariae Robert
Published: March 2024

BACKGROUND

Insomnia is a prevalent condition with significant health, societal, and economic impacts. Cognitive behavioral therapy for insomnia (CBTI) is recommended as the first-line treatment. With limited accessibility to in-person–delivered CBTI (ipCBTI), electronically delivered eHealth CBTI (eCBTI), ranging from telephone- and videoconference-delivered interventions to fully automated web-based programs and mobile apps, has emerged as an alternative. However, the relative efficacy of eCBTI compared to ipCBTI has not been conclusively determined.

OBJECTIVE

This study aims to test the comparability of eCBTI and ipCBTI through a systematic review and meta-analysis of equivalence based on randomized controlled trials directly comparing the 2 delivery formats.

METHODS

A comprehensive search across multiple databases was conducted, leading to the identification and analysis of 15 unique randomized head-to-head comparisons of ipCBTI and eCBTI. Data on sleep and nonsleep outcomes were extracted and subjected to both conventional meta-analytical methods and equivalence testing based on predetermined equivalence margins derived from previously suggested minimal important differences. Supplementary Bayesian analyses were conducted to determine the strength of the available evidence.

RESULTS

The meta-analysis included 15 studies with a total of 1083 participants. Conventional comparisons generally favored ipCBTI. However, the effect sizes were small, and the 2 delivery formats were statistically significantly equivalent (P<.05) for most sleep and nonsleep outcomes. Additional within-group analyses showed that both formats led to statistically significant improvements (P<.05) in insomnia severity; sleep quality; and secondary outcomes such as fatigue, anxiety, and depression. Heterogeneity analyses highlighted the role of treatment duration and dropout rates as potential moderators of the differences in treatment efficacy.

CONCLUSIONS

eCBTI and ipCBTI were found to be statistically significantly equivalent for treating insomnia for most examined outcomes, indicating eCBTI as a clinically relevant alternative to ipCBTI. This supports the expansion of eCBTI as a viable option to increase accessibility to effective insomnia treatment. Nonetheless, further research is needed to address the limitations noted, including the high risk of bias in some studies and the potential impact of treatment duration and dropout rates on efficacy.

CLINICALTRIAL

PROSPERO CRD42023390811; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=390811
Hyperhomocysteinemia is a risk factor for vascular complications in patients with chronic kidney disease
Authors: Paliienko I.A. , Karpenko O.V. , Krasiuk I.V. , Kravchuk A.D. , Mykolaienko Yu.V. , Rudenko O.A.
Published: March 2024

Hyperhomocysteinemia is considered a risk factor for many diseases, including thrombosis. Patients with chronic kidney disease often have vascular complications in the form of arterial or venous thrombosis, and it is important to consider the blood homocysteine level as a predictor of thrombophilia. The causes of hyperhomocysteinemia can be both genetic mutations and deficiency of homocysteine metabolism enzymes, as well as deficiency of folic acid, vitamin B12 and, to a lesser extent, deficiency of vitamin B6, which affects methionine metabolism. Given the role of hyperhomocysteinemia as a predictor of cardiovascular events in patients with kidney diseases, in our opinion, the multifactorial nature of increased homocysteine requires further research into some links of its pathogenesis in chronic kidney disease and the development of targeted therapeutic interventions.
Kidney damage in burn disease. Part 2. Biochemical markers (literature review)
Authors: Kravets O.V. , Yekhalov V.V. , Gorbuntsov V.V. , Krishtafor D.A.
Published: March 2024

Recently discovered specific markers open up new possibilities for the diagnosis of acute kidney injury (AKI) in burn disease in order to optimize the treatment of such patients. Early diagnosis with the involvement of biomarkers prevents the sudden death of burn patients and allows predicting the course of the pathological condition. There are several characteristics that an “ideal” AKI biomarker should conform to: being non-invasive, locally specific, highly sensitive, being a stable molecule at different temperatures and pH values, having the ability to rapidly increase in response to kidney injury (quantify it), remaining at high levels during the episode and decreasing during the recovery period. There is a difference between the biomarkers that can be freely filtered in the glomerulus, so any increase in their plasma concentration (due to damage to other renal tissues) can lead to a high concentration of indicators in the urine (loss of specificity), and high-molecular-weight markers that are not freely filtered and therefore are more specific when measured in urine. Renal function in burn patients is usually determined by blood and urine tests, as biopsy can cause iatrogenic damage and is not commonly used in this cohort. After the onset of AKI, the level of biomarkers remains elevated for a certain period. None of the described indicators is monospecific for AKI; this makes estimating the time of AKI quite difficult. It has been proven that the combination of three biomarkers at two different time points in adults and the combination of two indicators at two time intervals in children allows to increase the reliability of determining AKI up to 0.78
Fog Computing-Based System for Decentralized Smart Parking System by Using Firebase
Authors: Haposan Yoga Pradika Napitupulu  , I Gde Dharma Nugraha
Published: March 2024

The growth of vehicle number is unavoidable whilst the availability of parking is not directly proportional with this condition. Nowadays, many shopping centers do not have sufficient parking spot, causing customers to have difficulty in finding available parking spots. Research has been conducted to tackle the issue of finding available parking spots. Much of this research proposed the narrowband-Internet of things (NB-IoT) as a fog node. For communication purposes, this NB-IoT-based fog node has some shortcomings, such as security and privacy, lower data rate, higher cost in development, dependency with wireless system, and only covers one area. In this research, the fog computing was proposed to decentralize smart parking system by using Firebase to cover several areas or malls in one system and interface. Instead of using NB-IoT, this research employed decentralized local server as a fog node to deliver a fast data exchange. Firestore database (Firebase) was also used to secure, manage, and analyze the data in the cloud. Conjunctively, the Android application was created as a user interface to book and find the availability of parking spots. The Android application was built using Android Studio and implemented authentication to keep the data access secure and private. The testing scenario was done following the design unified modeling language (UML). The research results confirmed that the fog computing system successfully supported the decentralized smart parking system and was able to be implemented for covering several areas or malls in one system.
Implementation of QR Code Attendance Security System Using RSA and Hash Algorithms
Authors: Arif Indra Irawan  , Iman Hedi Santoso  , Istikmal  , Maya Rahayu
Published: March 2024

The quick response (QR) code-based attendance application contributes to reducing paper usage and attendance input errors. However, in its implementation process, the QR-code-based attendance at a Bandung school demonstrates weaknesses. Absent students can fake their attendance for themselves or friends. This type of attack is known as fake QR code generation. This research proposes a security authentication system using the Rivest–Shamir–Adleman (RSA) encryption algorithm and the secure hash algorithm 1 (SHA-1) to secure QR code-based attendance applications from fake QR code generation attacks. The RSA algorithm encrypts QR code data to maintain privacy, while the SHA-1 algorithm ensures data integrity. Based on this method, the mutual authentication process between the QR code data generated by the student and the attendance reading application by the teacher can be established. The results obtained from a series of tests showed that the security system in the student attendance recording application that had been implemented at Madrasah Aliyah (MA) Al-Mukhlishin could detect and prevent fake QR code generation attacks. The test was conducted by changing the impact of the key length on RSA-1024 bits and RSA-2048 bits. The results showed that in RSA-1024 bits, energy consumption of 0.14 J and time of 1.66 s is more efficient than that in RSA-2048 bits, with energy consumption of 0.19 J and time of 2.09 s. Interestingly, if a higher level of security is required, the key length should be increased at the expense of some energy and time efficiency.
Single-Phase Shift Modulation of DAB Converter in Typhoon HIL Simulation
Authors: Yohan Fajar Sidik  , F. Danang Wijaya  , Roni Irnawan  , Muhammad Ridwan  , Kevin Gausultan  , Sriyono
Published: March 2024

Solid-state transformer (SST) could be a solution for a future distribution system, in which many renewable energy sources (RES) are integrated. The SST consists of a single-phase dual-active bridge (DAB) converter, which is scale-down the dc voltage level. The control objective of the DAB converter used in the SST is to control its output voltage. This control strategy consists of a proportional-integral (PI) controller and a single-phase shift (SPS) modulation. Numerous literatures have mentioned about the SPS modulation for the DAB converter. However, they do not provide procedures in implementing the SPS modulation in the real controller. This paper aims to develop the SPS modulation in the real controller of the STM32F446RE microcontroller. The proposed SPS modulation is based on a master-slave timer feature, which is available in the STM32 microcontroller. The development process and testing of the complete control strategy of the DAB converter were carried out in the hardware-in-the-loop (HIL) simulation using Typhoon HIL. This scheme speeds up the development of process and reduces the costs. The experiment in the HIL environment shows that proposed control strategy of the DAB converter consisting of the PI controller and the SPS modulation is successfully implemented in the real microcontroller of the STM32F446RE. The proposed control strategy of the DAB converter is capable of bidirectional power flow, which is useful for integrating distributed generators in the load side. Moreover, this control strategy can reject the disturbance caused by loads.
Implementation of Mask Use Detection With SVM and Haar Cascade in OpenCV
Authors: Hustinawaty  , Muhammad Farell
Published: March 2024

Despite a decline in global COVID-19 cases, the persisting threat of SARS-CoV-2 coupled with waning public awareness of the virus threat has raised concerns. A notable number of individuals disregard mask usage or do so incorrectly. It is particularly concerning given that COVID-19 has high transmissibility, especially in crowded areas like shopping centers. Enforcement officers often face challenges in identifying those wearing masks improperly. Herein lies the significance of automated mask detection to aid enforcement officers in containing the spread of the virus. Hence, this paper aims to highlight the importance of automated mask detection in combatting COVID-19 transmission. Previous mask detection algorithms were intricate because they relied heavily on resource-intensive machine learning algorithms and libraries. These algorithms, however, failed to address the problem of incorrect mask usage adequately. Therefore, despite the apparent usage of masks, the virus managed to find transmission pathways. In contrast, this research focuses on creating algorithms that pinpoint improper mask usage and optimize resource utilization without compromising detection quality. The Haar cascade algorithm was utilized to detect faces and the support vector machine (SVM) was used to train the dataset. The model attained an average accuracy of 95.8%, precision of 99.7%, recall of 92.3%, and F1-score of 93.7%. The metrics aligned with prior studies, affirming their reliability. Nevertheless, limitations exist as the model faces challenges in detecting obscured facial features, requiring further research to enhance its detection capabilities. This research contributes to ongoing efforts to improve mask detection technology for more effective virus containment.
The Co-volatility of Uncertainty Shock on Chinese Exchange Rate: Based on Time-frequency Domain and Time-varying Method
Authors: Guan Yitan
Published: March 2024

In recent years, with the global epidemic, the Russia-Ukraine conflict, the great power game, and so on events, the international political and economic environment has become more and more unstable, the USDCNY exchange rate fluctuates significantly, and the external uncertainty risk shocks negatively hit the foreign exchange market. Based on this, this article expands global uncertainty risk shocks into four dimensions: global geopolitical risk, U.S. economic policy uncertainty, Chinese economic policy uncertainty, and VIX index, in addition to adding international WTI crude oil and gold price as additional variables, which are significantly correlated with both, to study the linkage among uncertainty shocks, commodity volatility and USDCNY exchange rate from the time-frequency domain. Furthermore, we analyze the time-varying spillover effects among variables at different frequency scales by decomposing the data into multiple scales using the Maximum Overlap Discrete Wavelet Transform (MODWT). Findings reveal that uncertainty factors and commodity prices exert distinct influence mechanisms on the USDCNY exchange rate under different cycles of frequency fluctuations. At various time-frequency domain volatility scales, VIX and WTI generate significant risk spillovers over the USDCNY exchange rate. Moreover, when global major events occur, time-varying spillover effects of variables are also heterogeneous. The research findings presented in this paper can provide valuable insights for policymakers and investors regarding the impact of international uncertainty shocks on the Chinese exchange rate across various short, medium, and long frequencies. This understanding can aid in managing uncertainty risks in decision-making processes, ultimately facilitating the efficient functioning of the foreign exchange market.
Проливая свет на ДНК-оригами
Authors: Степанов М.Е. , Хохрякова У.А. , Егорова Т.В. , Магарян К.А. , Наумов А.В.
Published: March 2024

Одной из ключевых задач современной фотоники является разработка методов экономически эффективного синтеза наноструктур с заданным химическим составом и морфологией. Наряду с традиционными методами CVD, эпитаксии, литографии, лазерной печати и абляции, коллоидного и электрохимического синтеза, в последние годы стремительно набирает популярность метод ДНК-оригами. В статье описаны принципы, лежащие в основе метода ДНК-оригами, а также приведены некоторые примеры его применения.
Инженерия – ​это компромисс разных точек зрения
Authors: Горный С.Г.
Published: March 2024

Цифровизация стремительно врывается в нашу
жизнь. Любому предприятию для рентабельного
производства важны новые индустриальные цифровые
технологии. Такие возможности для российских
предприятий открывают высоконадежные системы
лазерной обработки компании «Лазерный Центр». Вот
уже 20 лет компания демонстрирует вовлеченность
в сферу цифровых технологий. По данным Роспатента,
«Лазерный Центр» обладает исключительными
правами на множество технологических решений,
устройств, компьютерных программ и товарных
знаков. Сегодня гость редакции журнала ФОТОНИКА –
генеральный директор компании «Лазерный Центр»
Горный Сергей Георгиевич, автор более сотни научных
работ и изобретений в области лазерных технологий
и оборудования, человек яркий, с неподражаемым
чувством юмора.
FPGA-Based Satellite Vision Systems using Verilog HDL
Authors: Jain Palak
Published: March 2024

Abstract: It is believed that the most effective way to collect information about the Earth's surface is through high- quality satellite images. Extracting a feature from an image is really difficult because you have to choose the best image segmentation methods and combine many strategies to find the Region in the most effective manner. This study makes recommendations for the classification techniques for objects in the satellite. On high-resolution satellite images, applying image processing methods. The methods used to define region mostly focus on urban, agricultural, and forest regions. There are several methods for extracting these traits. Using a Grey Level Cooccurrence Matrix is the most used method. It is employed to unveil specific characteristics regarding the spatial arrangement of gray levels in the texture image. The Grey Level Co-occurrence Matrix (GLCM) captures statistical details of neighboring pixels in an image, enabling the computation of textural features that enhance the comprehension of visual content. This research presents a VLSI implementation aimed at extracting four texture characteristics from the grey level co-occurrence matrix. Verilog was employed to model the hardware, with MATLAB used for software simulation. The simulation utilized the Verilog HDL language from the XILINX tool, and the implementation was executed on the SPARTAN FPGA board.
Human Scream Detection and Analysis for Controlling Crime Rate using Machine Learning and Deep Learning
Authors: Ojha Achyut , Adarsh
Published: March 2024

Abstract: This paper addresses the problem of automatic detection and recognition of impulsive sounds, such as glass breaks, human screams, gunshots, explosions or door slams. A complete detection and recognition system is described and evaluated on a sound database containing more than 800 signals distributed among six different classes. Emphasis is set on robust techniques, allowing the use of this system in a noisy environment. The detection algorithm, based on a median filter, features a highly ro- bust performance even under important background noise conditions. In the recognition stage, two statistical classifiers are compared, using Gaussian Mixture Models (GMM) and Hidden Markov Models (HMM), respec- tively. It can be shown that a rather good recognition rate (98% at 70dB and above 80% for 0dB signal-to-noise ratios) can be reached, even under severe gaussian white noise degradations.
The effect of kegels exercises on sexual function in elderly in the east Jakarta region
Authors: Halim Suryani Hartati , Laela Sri
Published: March 2024

Introduction: Elderly people experience a decline in the function of their reproductive organs, which will affect intimate relationships with their partners, thus having an impact on physiological problems regarding sexual needs, so they are expected to be able to adapt to changes by improving their sexual function by doing Kegel exercises. Objectives: to determine the effect of Kegels exercises on sexual function in the elderly in the East Jakarta area. Methods: The research uses a quasi-experimental design with a pre-post test design without a control group, namely observations carried out before treatment and after treatment without using a control group, with a total of 27 respondents starting from May to August 2023 using the 19-item FSFI questionnaire. Results: The results showed that sexual scores increased by an average of 2 after Kegel exercises were carried out: sexual desire was 2, sexual arousal was 2.63, lubrication was 1.37, organism was 1, sexual satisfaction was 1.70, pain decreased by 1.19, p value = 0.000, and FSI score ≤ 26.55 for 21 people (77.8%) who did not experience sexual dysfunction. Conclusion: Sexual function will increase if you do light exercise such as gymnastics, namely Kegels exercises. This can also reduce sexual dysfunction.
The implementation of Maqashid Sharia: heterogeneity of scholars' fatwas towards Islamic banking contracts
Authors: Arfan Abbas , Arfan Iklil Athroz , Alkoli Abdulrahman , Ramadhita Ramadhita
Published: March 2024

This study aims to analyze the differences in fatwas among scholars in the Middle East and South East Asia (Indonesia and Malaysia) towards various Islamic Banking Contracts products and assess the implementation of maqâshid al-sharia within the variety of fatwas mentioned. This study employed a qualitative approach and fatwas from the Middle East and South East Asia as the primary data, while the secondary data were obtained from books on Muaamalah Fiqh and Islamic Banking. The data were garnered based on a literature review with a content analysis technique. The descriptive-inductive method with a reflective way of thinking is used for data exposure, leading to the following findings: 1) There are differences in fatwas towards three Islamic Banking contracts: a) The determination of the deposit contract in the Middle East is stipulated in a qardh contract in a non-investment account; meanwhile, in South East Asia it is stipulated in a wadiah contract; b) in terms of Murâbahah contract, some of the Middle East scholars forbid it, while, some of South East Asian scholars and few scholars from Middle East allow it, and; c) in terms of the al-Ijarah al-muntahiyyah bi al-tamlik, most of Middle East Scholars forbid it, but South East Asian scholars allow it; 2) The implementation of maqâshid sharia within differences of fatwas among scholars has been appropriately implemented in accordance with Islamic law specified under contracts in Islamic banking products in Muslim countries.
Teleportation of Post-Selected Quantum States
Authors: Collins Daniel
Published: March 2024

Teleportation allows Alice to send a pre-prepared quantum state to Bob using only pre-shared entanglement and classical communication. Here we show that it is possible to teleport a state which is also post-selected. Post-selection of a state Φ means that after Alice has finished her experiment she performs a measurement and only keeps runs of the experiment where the measurement outcome is Φ. We also demonstrate pre and post-selected port-based teleportation. Finally we use these protocols to perform instantaneous non-local quantum computation on pre and post-selected systems, and significantly reduce the entanglement required to instantaneously measure an arbitrary non-local variable of spatially separated pre and post-selected systems.
Bibliometric Analysis of the Research Landscape in Human-Computer Interaction in Ibero-America
Authors: Solis Pino Andrés Felipe , Ruiz Pablo H. , Agredo-Delgado Vanessa , Mon Alicia , Collazos Cesar Alberto
Published: March 2024

Human-Computer Interaction (HCI) is a research discipline that optimizes human-machine interfaces. Ibero-America has become a leading region in HCI advances adapted to its unique socioeconomic environment. However, a global characterization of the research landscape for this discipline in the region still needs to be improved. Therefore, this study aimed to analyze the scientific literature on HCI in Ibero-America using bibliometric techniques, identifying key authors, institutions, conceptual structure, and research trends. The methodology employed consisted of a bibliometric analysis of 9812 documents from 1990-2023 from Scopus and Web of Science. The data were analyzed using Bibliometrix and VOSviewer for statistical and network analysis. The results revealed that Spain, Brazil, Portugal, Mexico, and Colombia are at the forefront of HCI research in the region, with more than 90 % of total publications experiencing an annual growth rate of approximately 14.6 %, driven by strong international collaborations. Key topics are human-computer interaction, virtual reality, augmented reality, and video games, while education is one of the main application areas. The main conclusion is that the HCI research landscape in Ibero-America is characterized by rapid evolution, international integration, and conceptual diversity, indicative of a mature and interdisciplinary field that responds to regional demands. The advancement of the field could be driven by increased private-sector funding. Future system designs in the region should prioritize cultural sensitivity and inclusion.
“The First Poet of Siberia”: Materials for the Biography of Georgy Maslov
Authors:   Institute of Philosophy of the Russian Academy of Sciences, Burmistrov Konstantin Yu.
Published: March 2024

The biography of Georgy Vladimirovich Maslov (1895–1920), a talented Russian poet and literary critic whose life was cut short during the Civil War, still has white spots. His poems and essays turned out to be scattered among hard-to-reach provincial and émigré newspapers, journals, and collected volumes. Handwritten copies of his works had a difficult fate, like the people who kept them. Of particular importance for clarifying biographical and textual issues are the memories of the poet’s contemporaries. We are publishing for the first time two documents of 1920, written by Maslov’s friend, bibliologist and literary historian N.V. Yakovlev: a list of Maslov’s preserved works and unpublished memoirs about him and his work. In the article, we try to explain in a new way some facts related to Maslov’s stay in Kolchak’s Omsk in 1918–1919, his participation in the military and civil service, as well as his attitude towards Bolshevism.
“The Other” Nabokov vs Nabokov-Sirin: Concerning One Occasional Mention in the Alexey Remisov’s Novel Music Teacher
Authors:   Institute of Russian Literature (Pushkin House) of the Russian Academy of Sciences, Obatnina Elena R.
Published: March 2024

The article is devoted to the problem of reconstruction of the author’s strategy in the novel Music Teacher, which was connected with projections of the names mentioned in the title onto specific events of the literary life of Russian emigration of the early 1930s and personal creative biography. The central object of the study is the case of the single and unmotivated mention of “musician Nabokov” in the story “Industrial Horseshoe” (1931). The history of Remizov’s relationship with the composer N.D. Nabokov had so far remained unstudied. The reconstructed by archival materials event series of these relationships appears as a presupposition of the story “Industrial Horseshoe.” This information explains not only the motives of the reference to Nicolai Nabokov but also the role of this reference in the idea and plot of the story. Given the aesthetic and ethical differences between Remizov and the composer’s cousin, writer V.V. Nabokov (V. Sirin), the author of the article reveals the essence of the so-called “mutual dislike” of the two writers in the context of a specific period (1928–1931). The author also infuses a new view of the history “hostility” of the representatives of the older and younger generation of Russian foreign literature and describes this literary confrontation as a problem of linguistic self-identification of their younger peers and their choice of literary “teachers.”
Horizons of Historical Narratology
Authors:   Kuban State University, Grimova Olga A.
Published: March 2024

The article is devoted to the analysis of two pieces of research that develop the idea of diachronic consideration of narratological categories in application to the Russian literary process — the monograph by V.I. Tupa “Horizons of Historical Narratology” and the collective work “Thesaurus of Historical Narratology (Based on Russian Literature): An Experimental Dictionary.” The purpose of the article is to present the worldview and axiological principles, conceptual and methodological innovations of the emerging scientific school, and to define its role in the space of modern humanities. A semantic approach to storytelling, inspired by the work of P. Riker, is a priority for scholars developing a project of historical narratology. The narrative appears not as a sphere of constructive techniques but as a space of interaction of strategies formed by culture and tactics embodying the author’s initiative. The article concludes with the undoubted heuristic and methodological perspective of the historical narratological project and its conceptual and ideological relevance.