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We study a new trace problem for functions holomorphic on polyballs which generalize a known diagonal map problem for polydisk. Also, we give descriptions of traces for several concrete functional classes on polyballs defined with the help of area operator or Bergman metric ball.

New sharp estimates of traces of Bergman type spaces of analytic functions in bounded strictly pseudoconvex domains are obtained. These are, as far as we know, the first results of this type which are valid for any bounded strictly pseudoconvex domains with smooth boundary.

Based on recent results on boundedness of Bergman projection with positive Bergman kernel in analytic spaces in various types of domains in Cn, we extend our previous sharp results on distances obtained for analytic Bergman type spaces in unit disk to some new Bergman type spaces in Lie ball, bounded symmetric domains of tube type, Siegel domains, and minimal bounded homogeneous domains.

We extend our previous sharp results on distances obtained for analytic Bergman type spaces in unit disk to some new analytic Bergman type spaces in higher dimensions in ℂn. Also, we study the same problem in anisotropic mixed norm h(p,q,s) spaces consisting of n-harmonic functions on the unit polydisc of ℂn.

Population aging is increasing in nutritional status plays an important role in health and disease, older people and is considered the most important factor. Elderly disability due to the inability to chew disease, drugs and social isolation and loss of income and physical activity in are receiving inadequate dietary exposure study to evaluate the status of malnutrition in elderly Province cholera research priorities according to the Ministry of Health Food, which was announced to all universities were 1010 elderly in this study based on random cluster sampling in the province (Urban and rural) were selected and their nutritional status questionnaire for the elderly Iranian MNA standardized assessment was to assess the relationship between nutritional status and demographic factors parametric Kolmogorov Smirnov tests were used. 57 / 7% of the subjects in the city and 42 / 5% lived in rural areas in terms of gender and 45 / 4% male and 54 / 6% female. BMI equal to 21% of the people and less than 22 and 79% have a BMI over 22 have. between gender and BMI, there was a significant relationship so that73 /3% of women and 65/3% of men in the group were overweight .28/6% of older people with malnutrition and 51/9% were at risk of malnutrition among places of life, psychological problems, malnutrition, drugs exact a significant relationship existed. Conclusion: This study seems to take care intervention programs extensively by the health authorities and policymakers to prevent malnutrition in all age groups, especially the elderly appears necessary. Keywords: Elderly - Malnutrition - BMI

We introduce and study new analytic classes on subframe and expanded disk and give complete description of their traces on the unit disk. Sharp embedding theorems and various new estimates concerning differential ℛs operator in polydisk also will be presented. Practically all our results were known or obvious in the unit disk.

We define new analytic mixed norm spaces and integral operators in tube domains extending known spaces and operators in two directions. We provide new results on Bergman type projections in products of tubular domains over symmetric cones extending some known classical assertions. Very similar results with the same proofs may be valid in bounded strongly pseudoconvex with smooth boundary, in bounded symmetric domains and also in Siegel domains. [ABSTRACT FROM AUTHOR]

Utilizing palm frond biomass for the production of composite materials will have a positive impact on managing palm oil plantation waste. Palm frond fiber biocomposite products have been proven to have good mechanical properties. However, exploration of other physical properties, especially thermal insulation properties, has not been widely studied. As a non-conducting material, palm frond fiber has the potential to have good thermal insulation properties. This study aims to fabricate palm frond biocomposite fiberboard, which has potential as a thermal biocomposite material. Fiberboard is made using the manual hand lay-up technique and cold compaction using a press machine. The characteristics under consideration for the fiberboard in concern encompass its physical, mechanical, and thermal properties. The main ingredients utilized in the fabrication of fiberboard predominantly comprise palm frond fiber and epoxy resin, with five distinct sample variants denoted as PSP-1 (84% fiber:16% resin), PSP-2 (83% fiber:17% resin), PSP-3 (82% fiber:18% resin), PSP-4 (81% fiber:19% resin), and PSP-5 (80% fiber:20% resin). The experimental results obtained from the testing of physical parameters indicated that the density of fiberboard exhibited a range of values spanning from 0.28 g/cm3 to 0.55 g/cm3. Similarly, the fiberboard's water absorption capacity varied between 107.25% and 194.00%. The water absorption abilities display significant variability, as indicated by a large standard deviation ranging from 28.15% to 80.35%. When the density of fiberboard is high, its water absorption capacity tends to be low. Furthermore, the mechanical tests revealed that the fiberboard's flexural strength showed a range of values spanning 1.10-5.42 MPa. The magnitude of specific heat capacity for fiberboard is calculated to be between 2.1-3.5 J/g ̊C, while the thermal conductivity lies within the range of 0.001-0.0020 W/mK

Heart abnormalities are atypical heart conditions that can lead to chronic heart disease. Heart abnormalities can be severe if not treated directly due to the crucial function of the heart as the blood circulation center. Heart abnormalities cannot be seen with the naked eye so it requires the recording of a heartbeat wave or electrocardiogram (EKG) for the disease to be detected. Therefore, a strategy that uses image processing and artificial neural networks to detect anomalies in the heart is strongly advocated. The proposed methods for feature extraction and identification are Invariant Moments and Extreme Learning Machine respectively. The testing procedure for this research employed a total of 386 ECG images as training data. and 44 ECG images for test data, and the heart condition was classified into 4 classes, namely Atrial Fibrillation, T-Wave, ST-Segment, and normal heart conditions. The test was carried out using 3 choices of extreme learning machine activation functions, namely sigmoidal, sine and hard-lim. The test also applied the parameter of hidden neurons in which amounting to 10, 30, 50, 100 and 500. The system accuracy in identifying heart abnormalities achieved 95.45% by the application of the sigmoid function with the total number of hidden neurons equal to 500.

We obtain some new uniform estimates and maximal theorems in classical Hardy spaces in the unit disk related with Bergman pro jection extending some previously well-known inequalities for Hardy spaces. [ABSTRACT FROM AUTHOR]

Variations in Minangkabaunese sounds include the segmental phonemes of the Minangkabaunese spoken by the Chinese ethnic in Padang. This study aims to identify the types and rules of Minangkabaunese sound changes uttered by the Chinese. This used a qualitative descriptive approach. The data on the Minangkabaunese words spoken by the Chinese in Padang were obtained through participant observation and interviews addressing oral characteristics. The Minangkabaunese Swadesh list, recording equipment, and writing implements were used in this study. The findings show that the segmental phonemes of the Minangkabaunese voiced by ethnic Chinese in Padang deviate from standard Minangkabaunese. They use 18 out of 20 standard consonants, resulting in a disparity. The consonants /w/ and /z/ are nearly never used in standard Minangkabau. This study reveals that numerous elements, such as phonetic and phonological characteristics, affect the variations of the Minangkabaunese spoken by the Chinese in Padang. This study contributes to the advancement of linguistic theory, specifically language phonology. The findings of this study can be utilized to document the phonological system of the Minangkabaunese spoken by Chinese in Padang, which implicates the acceptance of Chinese ethnicity and diversity in Muslim-dominant Minangkabau regions. The finding shows that the MInangkabaunese language is an open system reflecting the culture of tolerance and respect for diversity.

Faster R-CNN is an algorithm development that continuously starts from CNN then R-CNN and Faster R-CNN. The development of the algorithm is needed to test whether the heuristic algorithm has optimal provisions. Broadly speaking, faster R-CNN is included in algorithms that are able to solve neural network and machine learning problems to detect a moving object. One of the moving objects in the current phenomenon is the use of masks. Where various countries in the world have issued endemic orations after the Covid 19 pandemic occurred. Detection tool has been prepared that has been tested at the mandatory mask door, namely for mask users. In this paper, the role of the Faster R-CNN algorithm has been carried out to detect masks poured on Internet of Thinks (IoT) devices to automatically open doors for standard mask users. From the results received that testing on the detection of moving mask objects when used reaches 100% optimal at a distance of 0.5 to 1 meter and 95% at a distance of 1.5 to 2 meters so that the process of sending detection signals to IoT devices can be carried out at a distance of 1 meter at the position mask users to automatic doors.

Pengukuran volume zat cair yang sensitif dapat dicapai menggunakan alat ukur atau sensor. Akan tetapi sensor volume zat cair tidak banyak mengembangkan, padahal pengukuran volume berdampak langsuang pada nilai ekonomis, keberhasilan penelitian ilmiah, dan kemanjuran dosis obat. Penelitian yang telah dilakukan hanya sebatas pada pengukuran pada kenaikan permukaan zat cair dalam kenaikan tandon. menggunakan sensor fotodioda. Metamaterial telah banyak dikembangakan sebagai sistem sensor yang sensitif karena berbasis gelombang elektromagnetik, namun belum spesifik mengkajinya sebagai sensor volume zat cair. Tujuan penelitian ini adalah untuk merancang dan menyimulasikan penggunaan sensor metamaterial yang sensitif dalam pengukuran volume zat cair. Sensor didesain dengan prinsip split ring resonator berbentuk rektangular (SRR-R) yang terdiri dari cincin logam tembaga dan substrat FR4-Epoxy. Sensor SRR-R disimulasikan pada rentang frekuensi 350-850 MHz untuk mendeteksi perubahan volume zat cair (aquades, air tawar dan etanol) dari 5 - 44 ml. Hasil simulasi menunjukan terjadinya pergeseran frekuensi resonan spektrum S21 yang jelas untuk masing-masing zat cair. Pergeseraan frekuensi resonan untuk sampel aquades terjadi pada frekuensi 403 – 527 MHz, air tawar 403 – 528 MHz, dan etanol 60 – 783 MHz. Distribusi medan E dan medan H menunjukan nilai maksimum sebesar 18662 V. dan 43771 A. . Karakteristik kurva linier terjadi dalam rentang volume 12-44 ml untuk semua sampel zat cair. Sensor metamaterial SRR-R berhasil disimulasikan untuk mendeteksi perubahan volume zat cair dengan sensitivitas pengukuran aquades -1.3999 MHz/ml, air tawar -2.6833 MHz/ml, adan etanol -3.5685 MHz/ml.

Telah dilakukan penelitian mengenai pengaruh variasi penambahan aki dan natrium benzoat dari elektrolit kulit nanas terhadap peningkatan kinerja biobaterai. Penelitian ini bertujuan untuk mengetahui pengaruh variasi penambahan aki dan natrium benzoat dalam meningkatkan kinerja biobaterai dari kulit nanas sebagai elektrolit. Variasi campuran yang diukur yaitu elektrolit kulit nanas murni, elektrolit kulit nanas murni ditambah aki dan leektrolit kulit nanas murni ditambah aki ditambah natrium benzoat dengan pasangan elektroda yang digunakan yaitu Cu-Zn dan Al-Zn serta waktu penurunan pada elektrolit membuktikan tingkat maksimum kinerja dari biobaterai. Pengukuran karakteristik elektrik menggunakan lampu LED. Tegangan maksimum dihasilkan oleh variasi elektrolit kulit nanas murni dengan penambahan aki dan natrium benzoat dengan tegangan maksimum yaitu 8,5 V dan arus maksimum 9.50 mA serta daya maksimumnya 96,2 mW serta penurunan nilai tegangan dan arus selama 7 hari menghasilkan tegangan minimum 3,6 V dan arus minium 1,40 mA serta daya minimum sebesar 50,4 mW. Hal ini membuktikan bahwa penambahan aki dan natrium benzoate mampu meningkatkan kinerja biobaterai dari kulit nanas dan jumlah hari mempengaruhi kinerja dari biobaterai.