bluuebunny/crossref_metadata_2025_split huggingface dataset:
Математична модель перетворювача з чотирнадцятизонним регулюванням напруги
Authors: Михайленко В. , Міхненко Г. , Чуняк Ю. , Петрученко О. , Бачинський В. 
Published: July 2022

У статті проведено аналіз електромагнітних процесів в електричних колах з напівпровідниковими комутаторами. Створено математичну модель перетворювача з чотирнадцятизонним регулюванням вихідної напруги для аналізуелектромагнітних процесів у напівпровідникових перетворювачах з широтно-імпульсним регулюванням. Наведено графіки, що відображають електромагнітні процеси у електричних колах. Математична модель напівпровідникового перетворювача також використовується для дослідження перехідних процесів у напівпровідникових перетворювачах з активно-індуктивним навантаженням. Розвинуто метод багатопараметричних функцій, які входять до алгоритмічних рівнянь аналізу усталених і перехідних процесів у розгалужених електричних колах з напівпровідниковимикомутаторами і реактивними елементами, в напрямку урахування особливостей використання фазних і лінійних напруг мережі електроживлення. Розроблено нову математичну модель усталених і перехідних процесів у електричних колахнапівпровідникових перетворювачів модуляційного типу з багатоканальним зонним використанням фазних напруг трифазної мережі живлення без урахування втрат електроенергії у комутаторах для швидкої оцінки впливу параметрів навантаження на характеристики регульованих синусоїдних і постійних напруг. Результати цієї роботи можна використати для розвитку методу багатопараметричних модулюючих функцій для спрощення аналізу перехідних процесів у електричних колах без врахуванням втрат у ключових елементах.
Бібл. 4, іл. 3.
Модуль транскрипції голосових команд в середовищі автоматичних пристроїв
Authors: Юдов A. , Остапченко K. 
Published: July 2022

Метою роботи є перевірка ефективності функціонування модуля транскрипції голосових команд в багатомовному середовищі за рахунок визначення параметрів голосового сигналу при роботі модуля. Проведено аналіз підходів длявирішення задачі з розпізнавання мови у потоці аудіо даних, серед яких акцентовано на розпізнаванні голосового сигналу мовця. У дослідженні використовується голоси з бази Google на різних мовах для підвищення ефективності реалізації голосових команд автоматичного включення/виключення устаткування. Голосові команди здійснюються 9 випадковими мовами залежно від доступності бази Google Voice за допомогою модуля розпізнавання. Аналізується вплив гучності та відстані на продуктивність модуля розпізнавання голосу. Встановлена ефективність і вплив вибору мови команди від відстані між мікрофоном і динаміком у діапазоні приблизно 5 см, 10 см та 15 см, а також гучність голосових команд у Google Voice на 30%, 50% і 100%.
Бібл. 9, іл. 4.
Method of control of the state of protection of the automated process control system of the critical infrastructure facility
Authors: Vasylenko Serhii , Samoilov Igor , Burian Serhii 
Published: July 2022

Constant dynamic processes of society informatization drastically change all spheres of its life, giving them new impulses and opportunities for implementation in the new conditions. At the same time, these processes are the cause of fundamentally new challenges for the security sector, which cause the deep penetration of information technology into all elements of infrastructure, including critical ones. Cyberattacks on critical information infrastructure facility of critical infrastructure facility (CIIF CIF) are particularly dangerous. Much of the CIIF CIF cyberthreats are related to the massive implementation of Industry 4.0 (I 4.0) technologies such as digital ecosystems, the Industrial Internet of Things (IIoT), big data analytics, the use of digital platforms, etc. The risks associated with these require new solutions in the management of the CIIF CIF conservation status. In the work as CIIF CIF considered the automated process control system (APCS) CIF built with IIoT-sensors usage. The peculiarities of building such systems and the need for rapid response to any cyberincidents require automation of the management of decision-making process for the application of the necessary protection means. For the state of protection against cyberattacks on APCS CIF it is proposed to use the method of making management decisions based on a dynamic programming, depending on the type of cyberattack control, selection and application of appropriate means of protection and to reduce the consequences of cyberincidents.
Revision of some Biomarkers with Cytokines in Breast Cancer
Authors: Yousif Araz 
Published: July 2022

Breast cancer is the most repeatedly detected cancer category and the second reason cause of cancer-linked deaths among women worldwide. Tumor bio-indictor is a term utilized to describe possible indicators for carcinoma diagnosis, development and progression. The goal of this study is to evaluate part of some cytokines and biomarkers for both serum and saliva samples in breast cancer then estimate their potential value in the early diagnosis of breast cancer by doing more researches in saliva, and utilizing saliva instead of blood (serum and plasma) in sample collection from patients. Serum and salivary samples were taken from 72 patients with breast cancer and 45 healthy controls, in order to investigate the following cytokines such as: interleukin 12 (IL-12), interleukin 6 (IL-6), interleukin 4 (IL-4), 8-hydroxydeoxyguanosine (8-OHdG), tumor necrosis factor (TNF) and interferon-γ (IFN-γ) levels with other bio-pointers such as: malondialdehyde (MDA), catalase, and 8-nitroguanine (8-NG). The results displayed that the levels of blood and saliva samples of IL-12 (P<0.0001), IL-6 (P<0.0001), IL-4 (P<0.001), 8-OHdG (P<0.0001), 8-NG (P<0.001, and P<0.004), TNF (P<0.002, and P<0.001) and IFN-γ (P<0.0001) were significantly higher in breast cancer, whereas there were significant lowering (P<0.0001) in catalase activates in breast cancer in both samples as compared with healthy subjects. The exchanging of blood to salivary components evaluation in this investigation may be utilized as a diagnostic tool, and designates the potential part for MDA, Catalase, and cytokines as important biochemical in breast cancer. Accordingly, the salivary diagnosis embraces a non-invasive process and tumor progression in breast malignancy patients. Beside saliva may well signify as an active new gate as blood evaluation but easier and cheaper.
Estimation of the Gutenberg-Richter earthquakes hazard parameters: sensitivity to the completeness domain and to isolated seisms - Application to the Alps domain, France
Authors: DUTFOY Anne 
Published: July 2022

Abstract
Seismic catalogues have collected seismic events for several hundred years. Depending on the period and geographical location, the collection of these events has not been done in a systematic way. Thus, seismic catalogues can be divided into two catalogues: the Complete Catalogue which represents an exhaustive period of data collection and a Parcel Catalogue that gathers isolated data, coming from the analysis of archives for example. Usually, only data of the Full Catalogue are kept for the inference of the hazard models. However, the data from the Parcel Catalogue provide a non-negligible amount of information that it is regrettable not to take into account. This paper assumes that earthquakes are modeled by a stationary Poisson point process, under the Gutenberg-Richter assumption. It first proposes a way to take into account the data of the Parcel Catalogue by adapting the expression of the likelihood of the Poisson process in the case where the completeness magnitude varies in time. We detail the expression of the maximum likelihood estimators of the Gutenberg-Richter parameters (a,b). In addition, this paper studies the sensitivity of the estimation of (a,b) to the definition of the Complete Catalogue. As an illustration, the methodology is applied for the estimation of seismicity parameters in the area of Alps in France.
Cyclone-induced coastal vulnerability, livelihood challenges and mitigation measures of Matla-Bidya interfluve area, Indian Sundarbans
Authors: GHOSH SOUMEN , Mistri Biswaranjan 
Published: July 2022

Abstract
Indian Sundarban delta (ISD) is highly susceptible to tropical cyclones and resultant impacts such as storm surge induced flood inundation, waterlogging, embankment breaching, coastal erosion, and saltwater intrusion. It affects life and livelihood in severe ways. Mitigation and policy measures are therefore very important, based on information gathered at the grassroots level. Hence, this study is designed to assess inter-village variation in cyclone vulnerability, taking into account physical vulnerability, social vulnerability, and mitigation capacity. This study also highlights livelihood challenges faced by coastal dwellers and suggests mitigation measures. Geospatial and quantitative methods were used to assess cyclone vulnerability in this study. Remote sensing data and climatic data from IMD (Indian Meteorological Department) were integrated to assess physical vulnerability. Moreover, socio-economic data collected from the Census of India was analyzed to determine social vulnerability. A field survey was also conducted during 2020–2021 to collect information on livelihood challenges and mitigation measures. According to the analysis, the southern and eastern parts of Matla-Bidya Interfluve (MBI) are extremely vulnerable due to their proximity to coastlines, low elevation, and high cyclonic activity over the years. Coastal villages in MBI are highly vulnerable to tropical cyclones due to their proximity to tidal creeks and socio-economic adversity. Nearly 46% of MBI villages are under extreme to high threat. Contrarily, the northern part of MBI is comparatively less vulnerable due to low potential impact and high resilience. Coastal low-lying villages are often hardest hit by tropical cyclones. Effective mitigation strategies and coping mechanisms can considerably reduce the adverse impact of cyclones.
Insights into azalomycin F assembly-line contribute to evolution-guided polyketide synthase engineering and identification of intermodular recognition
Authors: Zhai Guifa , Zhu Yan , Sun Guo , Zhou Fan , Hong Zhou , Dong Chuan , Leadlay Peter , Hong Kui , Deng Zixin , Zhou Fuling , Sun Yuhui 
Published: July 2022

Abstract
Exploring interactions among modules in modular polyketide synthase (PKS) is very important for understanding the overall biosynthetic process and for engineering PKS assembly-lines. Herein, we show that intermodule recognition between the enoylreductase domain ER1/2 inside module 1/2 and the ketosynthase domain KS3 inside module 3 is required for the cross-module enoylreduction in azalomycin F (AZL) biosynthesis. We also show that KS4 of module 4 acts as a gatekeeper facilitating cross-module enoylreduction. Additionally, evidence is provided that module 3 and module 6 in the AZL PKS are evolutionarily homologous, which make evolution-oriented PKS engineering possible. These results reveal an unprecedented intermodule recognition furthering understanding of the mechanism of the PKS assembly-line, thus providing new insights into PKS engineering. It also reveals that gene duplication/conversion and subsequent combinations may be a neofunctionalization process in modular PKS assembly-lines, hence providing a new case for supporting investigation of modular PKS evolution.
Antimicrobial properties of heterojunction BiSnSbO6-ZnO composites in wastewater treatment
Authors: Chen Jing , Shan Mengde , Zhu Haojia , Zhang Shichuan , Li Jingmei , Li Leijiao 
Published: July 2022

Abstract
BiSnSbO6-ZnO composite photocatalytic material with type II heterojunction structure was synthesized by a simple solid-phase sintering method, it was characterized by XRD, UV-vis and PT methods. The photocatalytic antibacterial experiments were carried out under LED light irradiation. The experimental results showed that the photocatalytic antibacterial properties of BiSnSbO6-ZnO composites against bacteria and fungi were significantly stronger than those of single BiSnSbO6 and ZnO. Under light conditions, the antibacterial efficiencies of 500 mg/L BiSnSbO6-ZnO composites against E. coli, S. aureus and P. aeruginosa reached 99.63%, 100% and 100% for 6 h, 4 h and 4 h, respectively. The best antibacterial concentration of BiSnSbO6-ZnO composite against eukaryotic microorganism Candida albicans was 250 mg/L, and the antibacterial efficiency reached the highest 63.8% at 6 h. Antibacterial experiments were carried out on domestic livestock and poultry wastewater, which showed that the BiSnSbO6-ZnO composite photocatalytic material has broad-spectrum antibacterial activity against bacteria, and the antibacterial effect has species differences. Through the MTT experiment, it is proved that the prepared BiSnSbO6-ZnO composite photocatalytic material has no toxicity at the experimental concentration. According to the free radical scavenging experiment and SEM observation of the morphological changes of the bacteria after light treatment, the prepared BiSnSbO6-ZnO composite photocatalytic material can generate active species ·OH, h+ and e− through light irradiation to achieve the purpose of sterilization, where e− play a major role, indicating that the BiSnSbO6-ZnO composite photocatalytic material has broad application prospects in the actual antibacterial field.
Feasibility, acceptability, and preliminary efficacy of a single-arm, remotely-delivered health coaching intervention to increase physical activity and reduce sedentary behavior during pregnancy
Authors: Whitaker Kara M. , Jones Melissa A. , Dziewior Jaclyn , Anderson Megan , Anderson Chelsie , Gibbs Bethany Barone , Carr Lucas J. 
Published: July 2022

Abstract
Background: Interventions targeting physical activity and sedentary behavior concurrently in pregnancy may be an ideal strategy to reduce the risk of pregnancy complications. We assessed the feasibility, acceptability, and preliminary efficacy of a single-arm, remotely-delivered health coaching intervention to promote physical activity and reduce sedentary behavior in pregnancy.Methods: Women (n=34) between 8-12 weeks gestation were recruited to take part in the INcreasing Steps in PREgnancy (INSPiRE) study. Participants were given an activity tracker (Fitbit Inspire) and met virtually with their health coach throughout the second and third trimesters of pregnancy. Feasibility was based on enrollment, retention, and adherence rates. Acceptance was assessed using a process evaluation survey. Intervention efficacy was based on activPAL data obtained at baseline and the end of the second trimester. Results: Feasibility objectives were met, with greater than 70% enrollment, 97% retention, and 99% adherence. All participants reported high levels of satisfaction with the program. ActivPAL data indicated statistically significant increases in daily steps (+1,715.8 steps/day), stepping time (+1.9%), standing time (+2.3%), and decreases in total sedentary time (-4.2%) and sedentary bouts of 30 minutes (-4.1%) from baseline to the end of the second trimester, all p<0.05. Decreases were also observed in sedentary bouts of 60 minutes (-3.9%), but this was not statistically significant. Conclusions: The INSPiRE study demonstrated feasibility, high acceptability, and preliminary efficacy for improving movement behaviors in women during pregnancy, supporting future testing in a randomized controlled trial.
Characterizing human movement patterns using GPS data loggers in an area of persistent malaria in Zimbabwe along the Mozambique border
Authors: Hast Marisa , Mharakurwa Sungano , Shields Timothy M. , Lubinda Jailos , Searle Kelly M. , Gwanzura Lovemore , Munyati Shungu , Moss William J. 
Published: July 2022

Abstract
Background: Human mobility is a driver for the reemergence or resurgence of malaria and has been identified as a source of cross-border transmission. However, movement patterns are difficult to measure in remote rural areas where malaria risk is high. In countries with malaria elimination goals, it is essential to determine the role of mobility on malaria transmission in order to implement appropriate interventions. Methods: A study was conducted in Mutasa District, Zimbabwe, to investigate human movement patterns in an area of persistent transmission along the border with Mozambique. Over one year, a convenience sample of 20 participants per month was recruited from active malaria surveillance cohorts to carry an IgotU® GT-600 global positioning system (GPS) data logger during all daily activities. Consenting participants were tested for malaria at data logger distribution using an HRP-2 rapid diagnostic test and completed a survey questionnaire. GPS data were analyzed using a trajectory analysis tool and plotted in geographic information system maps. Participant movement patterns were characterized throughout the study area and across the border into Mozambique using movement intensity maps, activity space plots, and statistical analyses. Results: Over 12 recruitment periods from June 2016 to May 2017, 184 participants provided usable movement tracks encompassing over 350,000 data points and nearly 8,000 person-days. Participants traveled a median of 2.8 km/day and spent a median of 4.6 hours/day away from home. Movement was widespread within and outside the study area throughout the year, with participants traveling up to 500 km from their homes. Indices of mobility were higher in the dry season, including distance traveled and hours/day away from home, and male participants and adults had higher mobility compared to female participants and adolescents, respectively. Half of the participants traveled outside the study area, and 30% traveled into Mozambique, including 15 who stayed in Mozambique overnight. Conclusions: Study participants in Mutasa District, Zimbabwe, were highly mobile throughout the year. Many participants traveled long distances from home, including overnight trips into Mozambique, with clear implications for malaria control. Interventions targeted at mobile populations and cross-border transmission may be effective in preventing malaria introductions in this region.
Pulmonary non-tuberculous mycobacteria in The Gambia: colonisation and clinically-relevant disease
Authors: Okoi Catherine , Anderson Suzanne T. , Mulwa Sarah , Worwui Archibald , Antonio Martin , Gehre Florian , Adetifa Ifedayo 
Published: July 2022

Abstract
BackgroundThe clinical relevance of pulmonary non-tuberculous mycobacteria (PNTM) in The Gambia is unknown. The aim of this study was to estimate the prevalence of non-tuberculous mycobacteria (NTM) in colonisation, and the burden of clinically relevant pulmonary NTM (PNTM) disease in The Gambia. Method This was a cross-sectional study of the prevalence of NTM in participants aged ≥15 years, in a nationwide tuberculosis (TB) prevalence survey between December 2011 and January 2013. We enrolled 903 participants with suspected NTM and NTM cultures were confirmed by 16S rRNA gene sequencing analyses. We applied the American Thoracic Society/Infectious Disease Society of America (ATS/IDSA) diagnostic criteria to determine clinical relevance of NTM. Principal findingsA total of 575 participants had acid-fast bacilli (AFB) positive Mycobacterial Growth Indicator Tube (MGIT) cultures and 229 (39.8%) were NTM. M. avium complex was by far the most commonly isolated NTM (71.0%), followed by M. fortuitum (9.5%) and M. nonchromogenicum (2.9%). Older participants (>24 years old) were four times more likely to have NTM in their sputa. Only 20.5% (9/44) NTM cases met the ATS/IDSA criteria for NTM disease. Conclusions This study provides important data on the prevalence of NTM in pulmonary samples of suspected TB cases with AFB positive cultures from a nationally representative population in The Gambia. Enhanced PNTM surveillance is recommended to better understand the contribution of NTM to pulmonary disease
Novel methods for solving Multi-objective Non linear Inventory Model Of Highly Deteriorating Items
Authors: Panda Minakshi , Sahoo Anuradha 
Published: July 2022

Abstract
In this study, multi-objective inventory model of deteriorating and perishable items is developed under space and budget constraints. Demand is stock dependent and power function of time. This model is completely a new model in the sense that the model is applied to those items whose deterioration rate is maximum. Shortages are allowed in each cycle. The main aim of this paper is to find different time points for each cycle where shortage occurs and inventory depletes respectively so that both total cost and shortage cost can be minimized simultaneously. The model is developed in both crisp and fuzzy environment. In fuzzy environment, the objectives are considered as fuzzy constraints. For this the decision maker needs to establish an aspiration level for the objective functions which he wants to achieve as far as possible. This paper aims to use fuzzy non-linear programming (FNLP) and intuitionistic fuzzy optimization (IFO) techniques for the multi-objective inventory model. Comparison is based on different optimization techniques in different environment using numerical examples. Graph of the objective functions are provided. System diagram of the model and algorithm for solving the model are provided. Also, sensitivity analysis is made using different parameters of the model.
Design Optimization of a PVDF based SOI-MOSFET Touch Sensor by Surface Potential based Analytical Model
Authors: M Arjun Hari , Rajan Lintu 
Published: July 2022

Abstract
Analytical model of a single taxel silicon on insulator (SOI) MOSFET based touch sensor is presented. The proposed sensor has a piezoelectric polymer layer integrated into the transistor structure. A mathematical model of the channel surface potential is developed, and the device performance is evaluated for various contact forces. The surface potential-based model aids in the systematic design of model parameters and the analysis of overall sensor performance. The simulation and analytical results were compared and found to be highly compatible. The model was validated using the software MATLAB, 2D COMSOL Multiphysics, and Silvaco ATLAS. The article presents a detailed analysis of the effect of design parameters of MOSFET on the variation of surface potential of the proposed sensor and the optimal model developed had a maximum channel potential variation of 248 mV/N. As a result, the developed analytical model guides designing SOI-MOSFET parameters for touch sensing in prosthetic devices.