bluuebunny/crossref_metadata_2025 huggingface dataset:
MATHEMATICAL MODEL OF ELECTROMECHANICAL OIL PRODUCTION SYSTEM FOR INTEGRATED DESIGN
Authors: Popovych О. , Golovan I. , Slidenko V. , Listovshchyk L. , Polishchuk L , Yashyn R.
Published: June 2022

Developed a complex mathematical model of the electromechanical system of oil production by means of the submerged centrifugal pump. Received an expression of the complex criterion of efficiency of system taking into account stages of extraction and repair of a well, as a ratio of volume of extracted oil to the consumed energy during a cycle of the analysis of processes. Mathematical model of the system: asynchronous motor - pump - hydraulic network is implemented in the simulation system and provides a study of the relationship between the amount of energy consumed and the efficiency of the system - the volume of oil produced. The developed complex mathematical model provides optimization researches taking into account nonlinear properties of components of system, their mutual influence. The initial information in determining the design parameters of the model components is the power of the induction motor of the pump, the geodetic height of the oil, the maximum efficiency of the pump, as well as for the point of maximum power of the pump operating range: engine load, hydraulic efficiency of the well and pipeline. The pressure characteristic of the pump is approximated at points of limits of the working range. Approximation of the pressure characteristic and efficiency of the pump is carried out taking into account changes of sizes of giving and speed of rotation. According to the simulation results, recommendations for improving energy efficiency using means of minimizing hydraulic losses in the process of well repair: optimization studies of the dependence of the change in the value of the energy efficiency coefficient as a function of production period while varying the duration of the repair period. For the example studied, increasing the repair time by 2.5 times reduces the overall energy efficiency of oil production by 20%. Also, energy efficiency decreases by 5% by reducing the extraction period from the optimal by 35% and by increasing by 65%.
DYNAMIC CHARACTERISTICS INVESTIGATION OF THE SYSTEM "SOFTSTARTER - INDUCTION MOTOR" IN THE MODE OF OPERATION WITH REDUSED SPEED
Authors: Toropov A. , Toropova L.
Published: June 2022

In the article operation of the system "softstarter - induction motor" with reduced speed is carried out. The relative cheapness of thyristor starting devices for induction motors in comparison with frequency inverters leads to their increasing of industry installation. However, the implementation of some modes of operation, such as rotation at a reduced test speed, may not always be possible for particular processes. This is especially true of increasing the amplitude of speed fluctuations with increasing motor torque. The paper presents the settings of the serial starter SSW900 from WEG, which affect the operation of the induction motor at low speed. To study the impact in the work, a model was compiled in the MATLAB software environment using the Simulink application. The correspondence of the parameters of the functional models to the settings of the existing soft-start device is determined. The reduction of the motor speed is provided by reducing the frequency and, accordingly, the amplitude of the voltage applied to the motor windings. To reduce the carrier frequency relative to the supply frequency, the mode of passing certain voltage half-waves is used. In MATLAB, this is achieved through the use of Pulse_generator blocks, which pass control pulses only at permitted intervals. By changing the opening angle of the thyristors, graphs of transients in velocity were obtained and the amplitudes of oscillations at the fan nature of the load were determined. In addition, the results of the study of the system on a physical model were obtained and a comparative analysis of the results was performed. Thus, the formation of reduced frequency, proposed in the development of a mathematical model in MATLAB provides a reduction in engine speed to 1/7 of the nominal. The amplitude of speed fluctuations when setting the maximum torque reaches values ​​that significantly limit the possibility of using this mode for long-term operation of the equipment, which is also confirmed by experimental studies.
ADAPTATION OF TEMPERATURE WALL FUNCTION FOR CALCULATION THE HEAT TRANSFER AT SUPERCRITICAL COOLANT PARAMETERS
Authors: Filonov V. , Pis’mennyi E. , Razumovskiy V.
Published: June 2022

To date, the engineering community pays special attention to the study, research and development of methods for predicting the behavior of the coolants at supercritical parameters. This paper discusses the problem of adaptation of the existing universal or specialized tools of thermohydraulic analysis for nonlinear heat transfer problems at supercritical coolant parameters with deterioration of heat transfer. Complexities of prediction the nonlinear heat transfer at supercritical parameters of the coolant by engineering methods of computational fluid dynamics are considered. A simple way to adapt the dual-zone Kader's temperature wall function on the basis of existing probe measurements for carbon dioxide is proposed. The problem of implementation into universal packages of computational fluid dynamics (CFD), which is based on the method of choosing the reference coordinate of the near-wall zone to determine the dynamic speed and dimensionless temperature, is discussed. The example on the ANSYS CFX using shows one of the ways to create a special user procedure, which has an improved tendency to predict the axial temperature profile with deteriorated heat transfer. Calibration and validation of the obtained results on the basis of experimental investigations for vertical pipes and rod assemblies of fuel simulators is carried out in the work. The paper also discusses the features of the proposed implementation, and formed recommendations for the application and further improvement of engineering approaches to predict the heat transfer deterioration at supercritical parameters of the coolant.
PURIFICATION OF LIQUID BY ELECTROMAGNETIC FOCUSING OF IMPURITIES
Authors: Terentiev О. , Kleshchov A. , Vorfolomeiev A. , Sergienko M.
Published: June 2022

The article discusses topical issues of increasing the efficiency of the filtrate purification system by physical methods developed at the Institute of Energy Saving and Energy Management «Igor Sikorsky Kyiv Polytechnic Institute». The work is devoted to the urgent problem of introducing the latest resource-saving, energy-saving integrated technologies for the purification of contaminated liquid media. To date, not a single theoretical base has been developed, there are only hypotheses, and there are no practical methods for calculating the magnetic treatment of water. The article is devoted to the purification by physical methods of the filtrate of domestic and industrial wastewater of industrial and domestic waste. An electromagnetic control unit was used to clean the fluid flow. Reducing the aggressiveness of the filtrate involves multi-stage control of the trajectory of impurities when they are removed from the main stream. Taking into account the properties of the experiment planning matrix, the coefficients of the regression equation were calculated, which adequately reflect the processes of liquid purification during its magnetization. Pollutant ions are charged particles. To remove them from the general flow, it is necessary to place generators on the pipeline to create developed cavitation in the fluid flow and inductance. Cavitation bubbles are internal oscillators and, releasing energy upon impact, crush and purify impurities.

In practical water purification, insufficient attention is paid to the control of the dynamics of charged impurities by the action of external and internal forces. Magnetic treatment of an aqueous medium has a number of advantages over other physical methods: it acts on all groups of impurities; influence on both chemical and physical processes in the aquatic environment; leads to the vivacity of the environment within the enterprise due to the destruction of electromagnetic bonds between the molecules of the indium and impurities, activates the aquatic environment. The main advantage in the purification of an aqueous medium from ions of impurities is the ability to control mobile ions in a magnetic field, and therefore direct vidions of impurities per stream. Magnetic treatment of aqueous media has found its application in many industries, which, in turn, confirms the effectiveness of such devices.
Proporcionalni izborni sistem sa jednom izbornom jedinicom i teritorijalna reprezentativnost parlamenta
Authors: Stamenković Viktor
Published: June 2022

Rad analizira problem neadekvatne teritorijalne reprezentacije parlamenata ‎koji se biraju putem proporcionalnog izbornog sistema sa jednom izbornom ‎jedinicom. Predmet posmatranja su predstavnička tela Srbije, Holandije i Izraela‎ sa tvrdnjama da na njihovu geografsku reprezentativnost dominantno utiču ‎faktori koji nemaju direktne veze sa izbornim pravilima, kao što su etnička‎ struktura društva i broj lista koje prelaze cenzus. Utvrđuje se da ne postoji jedinstvena ‎pravilnost koja utiče na geografski sastav parlamenta u svakoj od ovih‎ država, već se presudni faktori teritorijalne reprezentativnosti razlikuju u zavisnosti ‎od društvenog konteksta u kome izborni sistem egzistira.‎‎
Creation of a speech environment for preschool children in their native language in conditions of its insufficient functioning in family and society
Authors: Androsova Yuliya Vladimirovna
Published: June 2022

Preschool educational organizations participating in the revitalization of the ethnic languages ​​of the indigenous peoples of the North, Siberia and the Far East need a special bilingual educational system with an effective methodology for creating a speech environment, developed on the basis of the federal state educational standard for preschool education and an environmental approach. In this regard, in order to eliminate language deprivation, which has become a stable phenomenon in preschool educational organizations in which children of the indigenous peoples of the North, Siberia and the Far East of the Russian Federation are brought up, it is necessary to take systemic measures aimed at improving the quality of the native speech of teachers, creating didactic materials, including digital resources to create a developing speech environment, the development of a special technique that reveals the speech potential of children. The purpose of the research is the creation of a model of the ethnocultural speech environment in the native language for preschool children in conditions of insufficient functioning of the native language. The article provides a comprehensive description of the research results on the creation of a speech environment in preschool educational institutions in native languages ​​of the indigenous peoples of the North, Siberia and the Far East of the Russian Federation. The results are presented: 1) a description of educational practices, built on the principle of “one person – one language”, aimed at the development of early bilingualism in preschool children; 2) analysis of the main problems of the speech environment in preschool educational organizations located in places of compact residence of indigenous minorities; 3) a description of the model for creating an ethnocultural speech environment in the native language for preschool children based on the principle of “one person – one language” and the concept of “developing speech environment”. As part of this study, a model for creating an ethnocultural speech environment for preschool children has been developed, taking into account the requirements of important state documents regulating the educational activities of kindergartens. First of all, the model is intended for the use by kindergartens implementing an educational program in conditions of insufficient functioning in the family and society of the native language of the indigenous peoples of the North, Siberia and the Far East of the Russian Federation. In order to introduce a model for creating an ethnocultural speech developmental environment for preschool children in the educational process, guidelines have been developed for parents and employees of preschool educational organizations.
Experimental Evaluation of Water Control for Continuous Packer in Buried Hill Fractured Gas Reservoir: A Case Study of HZ 26-6 Condensate Gas Field
Authors: Sun Zhengxin , Li Zhandong , Wang Dianju , Ma Lan , Li Ji , Lv Yunshu
Published: June 2022

Although research into water control completion techniques is now relatively mature, there are still difficulties in controlling water in fractured gas reservoirs in the sea. Unlike oil reservoirs, submerged gas reservoir development still faces some problems. To explore the water control mechanism of buried hill fractured gas reservoir, based on the parameters of well HZ26-6-2 in HZ 26-6 condensate gas field, the water control experiment of the continuous packer in the bottom water gas reservoir was completed through the design of experimental parameters, the design of buried hill fractured formation, and the process design of continuous packer. Studies have shown that the continuous packer water control technology delays the water coning rate and makes the water propulsion more uniform. The water breakthrough time and gas production are slightly different for different fractured gas reservoirs, and the network fracture model has a short gas recovery period and fast gas production speed. Continuous packer water control can improve natural gas recovery by 14.3% in fractured gas reservoir. Based on fracture dredging ability, sand accumulation and filling degree, and drilling and production strategy, the influencing factors of horizontal well water control effect in buried hill fractured gas reservoir are discussed and summarized. The research results are aimed at establishing a development model of water control for buried hill gas reservoirs and providing good technical support for rational and scientific water control of horizontal Wells in offshore condensate gas fields. The findings of this study can help for a better understanding of water control of horizontal wells in offshore condensate gas fields.
OSL Dating of the Sukor Earthquake-induced Rockslide in Gorny Altai: Paleoseismological and Paleogeographic Implications
Authors: Deev E.V. , Zolnikov I.D. , Kurbanov R.N. , Panin A.V. , Murray A. , Korzhenkov A.M. , Turova I.V. , Pozdnyakova N.I. , Vasiliev A.V.
Published: June 2022

—Lacustrine sediments, related subaerial aeolian sands, as well as fluvioglacial sands enclosed in ablation moraines in the Chuya River valley between the Chuya and Kurai basins in Gorny Altai, have been dated by optically stimulated (OSL) and infrared stimulated (IRSL) luminescence. The OSL and IRSL ages indicate that the formation of the lake, which spread into the Chuya Basin, was caused by the Sukor rockslide that dammed the Chuya Valley. The rockslide was triggered by a large earthquake (shaking intensity at least IX-X) generated by an active fault in the Kurai Fault Zone about 16 ka, which is the oldest known date for its activity. Thus, large landslides or rockslides can remain geomorphically expressed for at least 16 ka in the climate and landscape conditions as in the Chuya and Kurai basins. The lake existed till ~10 ka BP and then was gradually drained. The Kuyuktanar glacier reached its greatest extent in the early marine isotope stage (MIS) 2, and its ablation moraines formed about 25 ka. Judging by the age and good preservation of moraines left by the glacier, the hilly terrain in the area of the Sukor rockslide, and the presence of lacustrine sands in the vicinity of the lake dam, no catastrophic flooding events in the Chuya and Katun valleys have occurred since the Last Glacial Maximum (LGM; ~20 kyr BP). The water table of the glacier-dammed lake that occupied the Kurai Basin around the LGM could not have exceeded 1750 m above sea level (a.s.l.). Higher lake terraces traceable till elevations of 2100–2200 m a.s.l. should be attributed to more ancient lake stages. Archaeological sites in the area of the junction between the Chuya and Kurai basins were formed in the post-lake period, the oldest dating back to the latest Late Paleolithic time.
Geochemistry of Early Diagenesis of Bog Deposits by the Example of the Holocene Section of the Dulikha Peat Bog (Eastern Baikal Region)
Authors: Leonova G.A. , Maltsev A.E. , Aisueva T.S. , Bobrov V.A. , Melenevskii V.N. , Bychinskii V.A. , Miroshnichenko L.V.
Published: June 2022

—Two cores of the Dulikha peat bog deposits, 4.0 and 5.2 m thick, were studied in detail. The reduction type of diagenesis has been established. Decomposition of the organic matter of the bog deposits begins already in the upper intervals of the section at the earliest stages of diagenesis. Microbiological studies of the peat bog revealed numerous organotrophic, ammonifying, nitrifying, and phosphate-mobilizing microorganisms as well as Fe-Ox and Mn-Ox microorganisms and showed the almost complete absence of sulfate-reducing bacteria (except for the lower intervals of the peat section). The processes of the nitrogen, phosphorus, and carbon cycles are more active than the sulfur cycle processes. The chemical composition of the bog water changes during diagenesis. The contents of HCO3-, NH4+, PO43-, NO3- and Corg increase in the peat bog section, which is the result of the destruction of organic matter, leading to the transition of the most mobile and labile components into the bog water. The results of physicochemical modeling show that the high content of organic matter significantly changes the chemical composition of the bog water. The enrichment of the latter in Cu, Zn, Sr, Ba, As, Si, Al, and Pb indicates a diagenetic transformation of the bog deposits. A change of oxidizing conditions by reducing ones in the peat bog leads to the reduction of oxidized Fe (III) and Mn (IV) forms to mobile Fe (II) and Mn (II) forms and their subsequent migration from the solid phase of deposits into the bog water. With depth, the reduced S (II) forms become predominant in the peat, which indicates more reducing environmental conditions. The concentration of SO42- decreases in the pore water of the peat-underlying mineral deposits, which marks the beginning of sulfate reduction. This process, however, is very slow in the bog deposits because of the acid environmental conditions and the lower degree of transformation of organic matter.
Revised Leachate Pollution Index (r-LPI): A Tool to Quantify Pollution Potential of Landfill Leachate
Authors: Bisht Tribhuwan Singh , Kumar Dinesh , Alappat Babu J.
Published: June 2022

The leachate pollution index (LPI), a technique to quantify the contamination potential of landfill leachate, was developed in 2003. Since then, numerous factors have challenged the relevance of LPI, including advancements in technology, the long-term reliability of these indicators, the incidence of emerging contaminants, and the LPI’s efficacy. As a result, using LPI as a benchmark can lead to misinterpretation of the magnitude of leachate Pollution. To mitigate this, a revised leachate pollution index (r-LPI) was developed, which is more precise and robust in assessing the Pollution potential of landfill leachate. This article presents a comprehensive account of the development of r-LPI. The r-LPI was developed by incorporating fuzzy technique with a multi-criteria decision-making technique (MCDM), wherein the inputs from 60 experts in the field of the environment, specifically solid waste management, were acquired at different stages during its development. The fuzzy Delphi method (FDM) was used to select the parameters. The fuzzy analytic hierarchy process (FAHP) was used to compute the relative weights of the parameters and sub-index curves were used for normalization of the parameters. As an application, the LPI and the r-LPI of the Bhalswa, Okhla, and Ghazipur landfills were calculated. The results indicate that r-LPI provides a more comprehensive prediction of leachate Pollution than the LPI.
A Case Study of a Small Ovarian Teratoma: Histological and Molecular Characteristics
Authors: Teshima Shinichi , Sakurai Urara , Kishi Hirohisa , Itoh Junko , Yanai Hiroyuki , Yano Ryo , Onuma Kazuya , Noguchi Masayuki
Published: June 2022

Background: Ovarian teratomas are ovarian tumors composed of three germ layers. They are rarely detected early, and the early stages have neither been reported often nor well characterized.Case presentation: We describe a teratoma measuring 2 × 0.8 mm, one of 1254 consecutive ovarian teratomas diagnosed at three institutions. This is the smallest ovarian teratoma reported in the available literature in English. The teratoma bud contained primitive glandular structures, mesoderm-like cells, cord- and sinus-like structures, and surface cells that were flat-to-cuboidal. To characterize this small teratoma, RNA sequencing was performed; 60 RNAs involved in embryonic morphogenesis were detected. The genes SHH, SOX2, and SOX9, which are involved in maturation and differentiation of the early embryo, were expressed in the tumor and evaluated with RNA in situ hybridization. We found distinct expression patterns corresponding to the histological components of the teratoma bud that were identified in formalin-fixed paraffin-embedded sections.Conclusions: The results of the histological and molecular analyses indicated that ovarian teratomas contain rudimentary organ-like features in the early stage of development, and as the tumor grows, these components differentiate into well-developed somatic tissues through the co-expression of RNAs involved in embryonic morphogenesis.
Do you “Go big or go home” with Neural Networks?
Authors: Dahal Ashim
Published: June 2022

This paper includes study of three different text generation model approaches to test if making noticeable inferior changes in data preparation but significantly increasing the size of the model would have continuous drastic changes on the fidelity of results. I used chicken recipes found online to train text generative models that resulted in three different chicken recipes that no one may be able to follow. The general theme that emerged as the result of this experiment was: the outcome of a model is dictated not only by how big it is but also how well the data was processed for it.
A machine learning-based data mining in medical examination data: a biological features-based biological age prediction model
Authors: Yang Qing , Gao Sunan , Lin Junfen , Lyu Ke , Wu Zexu , Qiu Yinwei , Zhao Yanrong , Wang Wei , Lin Tianxiang , Chen Ming
Published: June 2022

Background: Biological age (BA) has been recognized as a more accurate indicator of aging than chronological age (CA). However, current limitations include insufficient attention to the incompleteness of medical data used to construct BA; lack of machine learning-based BA (ML-BA) on the Chinese population; neglect of the influence of the degree of model overfitting on the stability of the correlation results.Methods and Results: Based on the medical examination data of the Chinese population (45-90 years), we first evaluated the most suitable missing interpolation method, then constructed 14 ML-BAs based on biomarkers, and finally explored the associations between ML-BAs and health statuses (healthy risk indicators and disease). We found that round-robin linear regression interpolation performed best, while AE showed the highest stability at high missing rates. We further illustrated the potential overfitting problem in ML-BAs, which affected the stability of ML-BAs' associations with health statuses. We then proposed a composite ML-BA based on the Stacking method with a simple meta-model (STK-BA), which overcame the overfitting problem, and associated more strongly with CA (r = 0.66, P < 0.001), healthy risk indicators, disease counts, and six types of disease.Conclusion: We provided an improved aging measurement method for middle-aged and elderly groups in China, which can more stably capture aging characteristics other than CA, supporting the emerging application potential of machine learning in aging research.
Hybrid Image Compression technique using Deep Learning model for enhanced reliability and data transmission
Authors: Rekha K Bhanu , S Safinaz
Published: June 2022

Image compression is the way of data compression which could be applicable to digital form of images for the purpose of reducing the cost of storage or transmission and any algorithm would consider visual perception or statistical properties of an image to establish enhanced results. The compression techniques might be lossy or lossless type. The supreme image quality at a particular compression rate is the major aim of any image compression approach. Objective: In this current research, image compression is carried out with the support of hybrid Convolution Neural Network (CNN) and Random Forest (RF) approach. Data description: The proposed methodology is executed in python environment and the performance metrics is evaluated and outcomes attained are compared with existing research works to verify the effectiveness of suggested concept.
Nurse-led Oral Mucositis Management: Impact on Health Outcomes of Patients Receiving Radiotherapy for Head and Neck Cancer and Lung Cancer: A Prospective Study
Authors: Kara Hava , Arikan Fatma , Kartoz Funda , Sahin Aylin Fidan Korcum
Published: June 2022

Purpose The study aimed to evaluate the impact of nurse-led OM management on the health outcomes of patients receiving radiotherapy for head and neck cancer and lung cancer.Methods The radiotherapy nurse carried out evidence-based assessments for OM in patients diagnosed with head and neck cancer and lung cancer and scheduled to receive radiotherapy, during their visits to the radiotherapy unit. The study adopted a holistic approach involving the patient in the care process with the radiotherapy nurse screening OM complications, providing information on OM-related factors and integrating these factors into daily life. The prospective, longitudinal cohort study, 27 patients were assessed and monitored through the WHO Oral Toxicity Scale, OM Follow-up Form and educated on OM during their radiotherapy through the OM Prevention and Care Guide. At the end of radiotherapy, an Evaluation of the Radiotherapy Process was performed.Results In this study, each patient was followed for six weeks from the start of radiotherapy (n=27). During RT, 23 patients had different grades of OM and 26 patients had esophagitis.The worst clinical data for OM and its variables emerged at week 6 of treatment. While the Nutrition Risk Screening (NRS) score increased over time, weight loss was observed to decrease. The mean stress level was 4.74±0.33 in the first week and 5.77±0.35 in the last week. It was observed that 24 out of 27 patients (88.9%) showed good adherence to the treatment.Conclusion Involving the patient in the process of radiotherapy in nurse-led OM management contributes to better patient outcomes. Such an approach improves oral care management in patients receiving radiotherapy for head and neck and lung cancer, demonstrating its positive impact on additional patient-focused outcomes.
Comparative study on growth, physiological and biotic stress resistance of cucumber (Cucumis sativus L.) by exogenous application of jasmonic acid and methyl jasmonate under greenhouse conditions
Authors: Wang Xuhao , Cui Jinghui , Li Xiangying , Wang Ge , Zheng Guo , Li Yueying , Li Xuemei , Ma Lianju , Wang Lanlan
Published: June 2022

JA is a defensive plant hormone, and its derivative MeJA is widely used in scientific research as an exogenous plant regulator to plants under biotic or abiotic stress. In recent years, the comparative study of MeJA and JA has become a new field for JA researchers, but most of them remain in laboratory experiments. Differences between the response of JA compounds to biotic stress in crops under greenhouse conditions, is not studied well. In this study, we studied the difference of two JA compounds in the regulation of physiological, growth and biotic stress resistance of cucumber under greenhouse conditions. We have three key findings: (1) JA compounds can significantly enhance the antioxidant activity, defense secondary metabolite accumulation and stress-resistance of cucumber. (2) MeJA increased the accumulation of lignin in cucumber leaves by elevating the activities of enzymes related to lignin biosynthesis (PAL, POD, LAC), which resulted in lower value of plant stress rating than JA. (3) MeJA also had a greater limiting effect on cucumber biomass accumulation than JA, which may be another reason for the lower plant stress rating. Our research has provided suggestions and experience for relevant agricultural production and follow-up scientific research.
Efficient technique for image cryptography using Sudoku Keys
Authors: Manimekalai M.A.P. , Karthikeyan M. , mary Thusnavis Bella , Neebha T.Mary , Sagayam K. Martin , Elngar Ahmed A.
Published: June 2022

This Paper work proposes an Image cryptographic technique based on the Sudoku solution. The Sudoku solution can be reduced to a proper key clue by increasing the complexity level. The reduced clue for the Sudoku serves as the base key, which can be solved both at the Encryption and Decryption phase to reveal the Sudoku solution. Since a proper key clue leads to only one sudoku solution, the key is always stable. The Sudoku solution is expanded to the size of the Image to be encrypted using a sequence of expansion techniques. These techniques involve Number filling of the key matrix, Linear X-Y rotational shifting and Standard Zig zag pattern based reverse shifting. The derived cryptokey for an image dictates the details of positions to which the image pixels have to be shuffled. The shuffling is made at two levels namely Pixel level and Sub-Pixel (RGB) levels for an image, with the latter having more effective encryption. As this image encryption involves position shuffling in RGB layers, this technique falls under the Image scrambling method with partial diffusion. The Source and Encrypted images are analyzed for the crypto quality and thereby derive out the Performance metrics. The Distribution level of the source image pixels in the encrypted image is visually assessed by the absolute difference image. The Performance metrics reveal that the cryptography is more efficient, when the Sudoku is treated as a square matrix cryptokey and effectively used.
Augmenting protein biofortification in maize using teosinte (Zea mays ssp. parviglumis)
Authors: Varalakshmi S , Singh Narendra Kumar , Pareek Navneet , Senthilkumar V
Published: June 2022

Maize underwent domestication from the wild species Teosinte (Zea mays ssp. parviglumis) in the Balsas River valley of Mexico. While domestication and selective breeding of maize lost major alleles for kernel size and composition, Teosintes have a huge repository of novel and diverse alleles for protein content; have doubled protein content and higher levels of methionine-rich zeins than cultivated maize. To address the issue of protein in maize, we developed and investigated BC1F2:3 population derived from crossing between maize inbred line CML-451 and teosinte (Zea mays ssp. parviglumis). The data on ear traits and protein content were recorded on 126 BC1F2:3 individual cobs and parental lines. The protein content of among the BC1F2:3 lines had highly significant variation which varied from 9.53 % to 16.49 % for MP51 and MP6 lines, respectively. The results stipulated that protein content of teosinte introgressed maize lines is improved by 41.42% over CML-451. The introgressed population also exhibited significant variation for all ear traits investigated. Principal component analysis and cluster analysis have applied for estimation of genetic diversity among introgressed lines. Proteins content, ear length (cm), ear width (cm), kernel rows/ear and test weight (g) are all significant contributors to maximum diversity among teosinte introgressed maize lines. Cluster analysis highlighted the diversity among lines based on protein content and test weight and grouped them into six clusters. Cluster II lines were characterized by higher protein content and test weight values and were considered for wider use in breeding programmes. The results of the investigation highlight the substantial increase in the protein content of the teosinte derived maize lines and therefore indicates critical role of Zea mays ssp. parviglumis in protein biofortification of maize kernels.
Theranostic application of 64Cu/177Lu-labeled anti-Trop2 monoclonal antibody in pancreatic cancer tumor models
Authors: Li Cuicui , Liu Jun , Yang Xu , Yang Qi , Huang Wenpeng , Zhang Mingyu , Zhou Dandan , Wang Rong , Gong Jianhua , Miao Qingfang , Kang Lei , Yang Jigang
Published: June 2022

Purpose
Pancreatic cancer is a malignant tumor with high degree of malignancy, strong heterogeneity and high lethality. Trop2 is a transmembrane glycoprotein associated with the occurrence, development and poor prognosis of pancreatic cancer. This study aims to develop 64Cu/177Lu-labeled anti-Trop2 monoclonal antibody (IMB1636) for positron emission tomography (PET) imaging and radioimmunotherapy (RIT) application in pancreatic cancer tumor models.
Methods
The binding kinetics of IMB1636 to Trop2 was measured by Biolayer interferometry (BLI). Western blotting and flow cytometry were used to screen the Trop2 expression of pancreatic cancer cell lines. IMB1636 were conjugated with p-SCN-Bn-NOTA (NOTA) and DOTA-NHS-ester (DOTA) for 64Cu and 177Lu radiolabeling respectively. ImmunoPET imaging and RIT studies were performed using 64Cu-NOTA-IMB1636 and 177Lu-DOTA-IMB1636 in subcutaneous pancreatic cancer tumor models.
Results
IMB1636 had strong binding affinity to Trop2 according to the results of BLI. T3M-4 cell line showed strongest expression of Trop2 and specific binding ability of IMB1636. The radiochemical purity of 64Cu-NOTA-IMB1636 and 177Lu-DOTA-IMB1636 exceeded 95%. PET imaging showed gradually accumulation of 64Cu-NOTA-IMB1636 in T3M-4 tumor models. The peak tumor uptake was 8.95 ± 1.07%ID/g (n = 4) at 48 h post injection (p.i.), which had significant differences with T3M-4-blocked and PaTu8988 negative groups (P < 0.001). High dose 177Lu-DOTA-IMB1636 demonstrated strongest tumor suppression with standardized tumor volume about 94.24 ± 14.62% (n = 5) at 14 days p.i., significantly smaller than other groups (P = 0.000 ~ 0.047). Ex vivo Biodistribution and histological staining verified the in vivo PET imaging and RIT results.
Conclusions
This study demonstrated that 64Cu/177Lu labeled IMB1636 could noninvasively evaluate the expression level of Trop2 and inhibit the Trop2-overexpressed tumor growth in pancreatic cancer tumor models. Further clinical evaluation and translation of Trop2-targeted drug may be of great help in the stratification and management of pancreatic cancer patients.
Antiferromagnetic insulating state in layered nickelates at half filling
Authors: Jung Myung-Chul , LaBollita Harrison , Pardo Victor , Botana Antia S.
Published: June 2022

We provide a set of computational experiments based on ab initio calculations to elucidate whether a cuprate-like antiferromagnetic insulating state can be present in the phase diagram of the low-valence layered nickelate family (Rn+1NinO2n+2, R= rare-earth, n = 1 − ∞) in proximity to half-filling. It is well established that at d9 filling the infinite-layer (n = ∞) nickelate is metallic, in contrast to cuprates wherein an antiferromagnetic insulator is expected. We show that for the Ruddlesden-Popper (RP) reduced phases of the series (finite n) an antiferromagnetic insulating ground state can naturally be obtained instead at d9 filling, due to the spacer RO2 fluorite slabs present in their structure that block the c-axis dispersion. In the n = ∞ nickelate, the same type of solution can be derived if the off-plane R-Ni coupling is suppressed. We show how this can be achieved if a structural element that cuts off the c-axis dispersion is introduced (i.e. vacuum in a monolayer of RNiO2, or a blocking layer in multilayers formed by (RNiO2)1/(RNaO2)1).
Police-led Fentanyl Test Strip Distribution Program in Maine and Massachusetts: An Evaluation
Authors: Larson Mary Jo , Silcox Joseph , Olson Rebecca , Cummins Emily , Lopes-McCoy Vanessa , Nong Thuong , Green Traci
Published: June 2022

Background: The increase of illicitly manufactured fentanyl in the drug supply and the lack of a reliable fentanyl detection method have led to a public health innovation: the community distribution and use of fentanyl test strips (FTS) to detect presence of fentanyl in drugs. The One2One project, based on a 2020 six-site pilot project, was a police-driven project spearheaded in Massachusetts and Maine in 2021 that consisted of police and community collaborators using FTS distribution as a low barrier tool to engage with people who use drugs and connect them to harm reduction supplies, services and referrals. Methods: Implementation and evaluation of the program occurred over 8-months. Policeofficers and program staff were trained on community use of FTS and were provided technical and logistical supports to encourage broad-scale local distribution of FTS kits to people who use drugs. The structure of the program encouraged departments to be innovative around FTS distribution and to use test strips as tools to support PWUDs with referrals, direct services and other harm reduction resources. The evaluation included site observations, interviews of staff and recipients, a community stakeholder survey, and analysis of administrative and demographic data to measure uptake and reach (engagement ratio and kit distribution impact rate) of the project as well as catalog implementation successes and challenges across participating police departments.Results: Twenty-one police departments and their collaborators distributed 2,556 FTS kits and reported a combined 3,703 referrals or direct services, yielding an engagement ratio of 1.44 (one referral or service per FTS kit distributed) and a kit distribution impact rate (kits distributed per overdose mortality rate) of 4.37 conveying substantial public health reach of FTS in high overdose burden communities. Qualitative data analysis captured the nuances across police departments of FTS kit distribution approaches, engagement methodologies, and the shift in willingness to embrace harm reduction principles through police-led efforts. Conclusion: FTS distribution through the One2One program exemplifies new and evolving shifts in public health and harm reduction policing roles and strategies. Further research should investigate how FTS distribution can be integrated across more geographies and implemented by other institutions.
The effect of phosphorus based flame retardants on the thermal and fire retardant properties of chicken feather/thermoplastic polyurethane biocomposites
Authors: Mutlu Aysenur , Dogan Mehmet
Published: June 2022

In this study, phosphorus-based additives (ammonium polyphosphate (APP), aluminum hypophosphite (AHP), and aluminum diethyl phosphinate (AlPi)) were used to improve the flame retardant properties of chicken feather (CF) reinforced thermoplastic polyurethane (TPU) composites. The additives were used in three concentrations of 5, 10, and 20 wt%. The fire-retardant properties of the composites were investigated by using limiting oxygen index (LOI), vertical burning test (UL 94 V), thermogravimetric analysis (TGA), and mass loss calorimeter test (MLC). According to the test results, the additives exerted flame retardant performance in the descending order of APP, AHP and AlPi. All additives showed flame retardant action both in the condensed and gas phases. However, the better fire retardant performances of APP and AHP with respect AlPi stemed from enhanced char formation.
Undetected Minority-polarity Flux as the Missing Link in Coronal Heating
Authors: Wang Y.-M.
Published: June 2022

During the last few decades, the most widely favored models for coronal heating have involved the in situ dissipation of energy, with footpoint shuffling giving rise to multiple current sheets (the “nanoflare” model) or to Alfv´en waves that leak into the corona and undergo dissipative interactions (the wave heating scenario). As has been recognized earlier, observations suggest instead that the energy deposition is concentrated at very low heights, with the coronal loops being filled with hot, dense material from below, which accounts for their overdensities and flat temperature profiles. While an obvious mechanism for footpoint heating would be reconnection with small-scale fields, this possibility seems to have been widely ignored because magnetograms show almost no minority-polarity flux inside active region (AR) plages. Here, we present further examples to support our earlier conclusions (1) that magnetograms greatly underrepresent the amount of minority-polarity flux inside plages and “unipolar” network, and (2) that small loops are a major constituent of Fe IX 17.1 nm moss. On the assumption that the emergence or churning rate of small-scale flux is the same inside plages as in mixed-polarity regions of the quiet Sun, we estimate the energy flux density associated with reconnection with the plage fields to be on the order of 107 erg cm−2 s −1 , sufficient to heat the AR corona.
Accelerated Autonomous Workflow For Antiperovskite-based Solid State Electrolytes
Authors: Castelli Ivano , Sjølin Benjamin H. , Jørgensen Peter , Fedrigucci Andrea , Bhowmik Arghya , Vegge Tejs
Published: June 2022

We developed and implemented an autonomous multi-target multi-fidelity workflow to explore the chemical space of antiperovskite materials with general formula X3AB (X = Li, Na, Mg), searching for stable high performance solid state electrolytes (SSEs) for all-solid state batteries. The workflow is based on the calculation of thermodynamic and kinetic properties, which include phase and electrochemical stability, semiconducting behavior, and ionic diffusivity. To accelerate the calculation of the kinetic properties, we implement a surrogate model able to predict the transition state structures during ionic diffusion, thus reducing the expensive calculation cost by more than one order of magnitude, keeping the error within 73 meV compared to the more accurate methods. 14 antiperovskites have been identified as possible SSE candidates. Moreover, this approach is general and chemistry neutral, so can be applied to other battery chemistries and crystal prototypes.
Smartformer: An Intelligent Model Compression Framework for Transformer
Authors: Wang Xiaojian , Wang Yinan , Yang Jin , Chen Ying
Published: June 2022

Transformer, as one of the latest popular deep neural networks (DNNs), has achieved outstanding performance in various areas. However, this model usually requires massive amounts of parameters to fit. Over-parameterization not only brings storage challenges in a resource-limited setting but also inevitably results in the model over-fitting. Even though literature works introduced several ways to reduce the parameter size of Transformers, none of them have focused on addressing the over-parameterization issue by concurrently considering the following three objectives: preserving the model architecture, maintaining the model performance, and reducing the model complexity (number of parameters) to improve its convergence property. In this study, we propose an intelligent model compression framework, Smartformer, by incorporating reinforcement learning and CP-decomposition techniques. This framework has two advantages: 1) from the perspective of convenience, researchers can directly exploit this framework to train their designed Transformer models as usual without fine-tuning the original model training hyperparameters; 2) from the perspective of effectiveness, researchers can simultaneously fulfill the aforementioned three objectives by using this framework. We conduct two basic experiments and three practical experiments to demonstrate the proposed framework using various datasets and existing Transformer models. The results demonstrate that the Smartformer is able to improve the existing Transformers regarding the model performance and model complexity by intelligently incorporating the model decomposition and compression in the training process.
Facial Palsy with Tongue Ulcer: A Rare Initial Presentation of Granulomatosis with Polyangiitis
Authors:   Department of Otorhinolaryngology, Universiti Kebangsaan Malaysia, Jalan Yaakob Latif, 56000 Cheras, Kuala Lumpur, Malaysia, Nur Ain Nabila Za’im , Mohamad Mohd Shawal Firdaus ,   Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Universiti Teknologi MARA, Jalan Hospital, 47000 Sungai Buloh, Selangor, Malaysia, Abdullah Noor Afidah ,   Department of Pathology, Universiti Kebangsaan Malaysia, Jalan Yaakob Latiff, 56000 Cheras, Kuala Lumpur, Malaysia, Tan Geok Chin ,   Department of Pathology, Universiti Kebangsaan Malaysia, Jalan Yaakob Latiff, 56000 Cheras, Kuala Lumpur, Malaysia, Mawaddah Azman ,   Department of Otorhinolaryngology, Universiti Kebangsaan Malaysia, Jalan Yaakob Latif, 56000 Cheras, Kuala Lumpur, Malaysia
Published: June 2022

Granulomatosis with polyangiitis (GPA) is a rare multisystem disease. Although GPA is rare, it commonly presents in a localised stage where its manifestation involves the upper or lower respiratory tract before progressing to a generalised stage. Therefore, most patients with GPA will visit an oral surgeon or an otolaryngologist to seek treatment. However, the diagnosis of GPA is often delayed as GPA is not frequently considered as a differential diagnosis in common oral and facial diseases. The lack of gold standard investigation for the diagnosis of GPA makes management of this case, a diagnostic conundrum. We herein report a patient who was diagnosed with bilateral acute otitis media and left mastoiditis complicated with facial nerve palsy, and later developed tongue ulceration one month after his initial presentation. The ear, facial and oral symptoms represent a diagnostic red herring to a fullblown generalised stage of GPA.