bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemberdayaan kelompok remaja berbasis budaya santri dalam optimalisasi peningkatan keterampilan kesehatan reproduksi remaja
Authors: Kustin Kustin , Yuhbaba Zidni Nuris , Isnawati Nafisah
Published: October 2023

Adolescence is one of the stages in human life. This stage is a crisis stage because it is a transitional stage from childhood to adulthood. According to the characteristics of their sexual development, adolescents generally have developed sexual behavior in the form of heterosexual relationships or dating. The way to minimize reproductive health problems in adolescents, juvenile delinquency and drug abuse is to directly involve the community in. These Adolescents need increased skills to overcome problems that occur in adolescents, especially reproductive health problems. The purpose of this service is to form youth groups that are active in efforts to deal with existing reproductive health problems. This program is carried out from the perspective of human or community development through empowerment. The empowerment method is carried out by referring to the existing strategy. Existing strategies refer to and are based on the culture that exists in Islamic boarding schools or junior high schools in an effort to optimize their reproductive health skills. This activity was carried out in a youth group of 30 teenagers who were students and students at the Miftahul Ulum Kalisat Jember Middle School. Activities carried out for 3 months to assist empowered groups. The results of forming groups with this empowerment found that there was an increase in the skills possessed by adolescents related to reproductive health problems before the empowerment group was formed, the skills were not good by 65%, it decreased after the empowerment group was formed, it became 28%, while good skills, by 35%, it increased to 72%. It is hoped that the group that has been formed can continue the empowerment efforts based on the pesantren culture by optimizing reproductive health skills so as to make teenagers more innovative, creative and also active.health skills so as to make teenagers more innovative, creative and also active.
Impact of the 2018-2020 Democratic Republic of Congo Ebola epidemic on health system utilization and health outcomes
Authors: Quattrochi John P. , Malemo Luc , Niehuus Rachel
Published: October 2023

Background

The 2018-2020 Ebola epidemic in the eastern Democratic Republic of Congo caused 3,481 infections and 2,299 deaths. The broader impact on health system utilization and health outcomes remains unclear.

Methods

From January to March 2020, a cross-sectional survey was administered to 3,631 households in Ebola-affected and non-affected health zones in North Kivu province to collect data on health behaviors and health status. Using linear models, we tested for associations between residence in an Ebola zone and multiple outcomes. Additionally, administrative data from 56 health facilities in Ebola zones was used to test for statistically significant changes in medical procedures (e.g. Cesarean sections) and disease rates before and during the epidemic.

Results

Comparing before the epidemic to during, we found no difference in monthly mean procedures per facility: measles vaccinations -58 (95% confidence interval, CI = -140, 24); Cesarean sections 1.4 (95% CI = -0.8, 3.6); laparotomy 0.2 (95% CI = -0.5, 0.9); open fractures 0.0 (95% CI = -0.1, 0.1); appendectomy 0.0 (95% CI = -0.3, 0.3); inguinal hernia 0.3 (95% CI = 0.0, 0.7). Households in Ebola zones were 16 percentage points (pp) (95% CI = 11, 21) more likely to report going to the hospital more often than normal because of free access, reported fewer measles vaccinations (-10pp 95% CI = -14, -5), and less willingness to vaccinate children (-6pp; 95% CI = -9, -3). However, administrative data showed no change in vaccination before and during Ebola in Ebola zones. Households in Ebola zones were 14pp less likely to report that a child had experienced measles (95% CI = -18, -11) and 8pp less likely to report that a child had experienced diarrhea (95% CI = -12, -4) since 1 Jan 2017. However, administrative data showed no change in either, comparing before-Ebola to during-Ebola in Ebola zones (difference in monthly mean procedures per facility: measles 5.6 (95% CI = -0.8, 12.0); diarrhea 41 (95% CI = -63, 145).

Conclusions

The Ebola epidemic did not have large effects on health system utilization or health outcomes (other than Ebola virus disease). This suggests that the Congolese and international response successfully maintained health system capacity during the epidemic.
Reality of administrative practices among Palestinian public schools' principals from teachers' point of view
Authors: Jamal Mohammad Bhais
Published: October 2023

This study aims to scrutinize the administrative practices of public school principals in Palestine through the lens of teachers, while also delving into potential disparities in these practices based on gender, administrative district, educational attainment, academic stage, and years of professional experience. The researcher employed a mixed-method approach, combining both quantitative and qualitative methodologies. Two data collection instruments were utilized: a structured questionnaire comprising 52 items distributed across ten distinct domains, administered to a stratified random sample of 369 male and female educators. Additionally, focus group discussions were conducted to afford a more profound insight into the issue, encompassing 20 male and female educators from schools situated in the northern governorates. The findings underscore a high level of administrative proficiency among school principals, with an average score of 3.99 (79.8%). Notably, the domain of "Organizing" received the highest rating, while "decision-making" garnered the lowest. It is noteworthy that no statistically significant disparities in mean scores pertaining to administrative practices and their respective domains were observed based on gender or educational qualification. Nevertheless, substantial differentials emerged across administrative districts, with the "Yatta Directorate" exhibiting the highest scores. In light of these study outcomes, the researcher advocates for the sustained enhancement of administrative practices among school principals, emphasizing the imperative of continuous professional development through specialized training programs.
Effect of diuretic medication and coffee consumption on serum uric acid levels: A review of literature
Authors: Yasser Jamaan Mohammed Al-Ghamdi  , Mohammed Abdullah Ali Alsloli  , Zakaria Yahya Ali Alamri
Published: October 2023

Various factors like diet, medications, beverages, and congenital conditions have shown to have their effect on uric acid levels. Hyperuricemia (serum uric acid level > 6.8mg/dL) is detrimental to health and is an independent risk factor for all cause cardiovascular mortality and ischemic stroke mortality. It is one of the best independent predictors for chronic diseases like obesity, hypertension and diabetes. Hyperuricemia causes inflammatory arthritis also known as gout. In this review, the authors have focused on the iatrogenic cause of hyperuricemia, particularly diuretic medications. The mechanism of action of these medications and the key interactions at cellular and receptor levels, which are responsible for hyperuricemia, were reviewed. In various studies, coffee consumption have shown to facilitate urate excretion and thus lower the risk of gout. This study has reviewed various studies detailing the lowered risk of gout with coffee consumption and have reviewed the possible mechanisms involved in inverse association between coffee consumption and risk of developing gout.
Prevalence and associated factors of adolescent pregnancy among women attending antenatal clinic at Tumbi Regional Referral Hospital, Coast Region, Tanzania
Authors: Sylivester W. Mkama  , William K. Mwebeya
Published: October 2023

Background: Approximately 16 million adolescent girls aged 15-19 years and 2million adolescents under the age of 15 years give birth annually. The aim of this study is to determine the prevalence and associated factors of adolescent pregnancy among women attending antenatal clinic at Tumbi Regional Referral Hospital, Coast Region, Tanzania. Material and methods: This was a descriptive cross-sectional study conducted from February 01 to April 15, 2023. A total of 118 adolescent pregnant women were enrolled in this study. Interviews were conducted with 118 sampled adolescent girls. Results: The analysis focused on 118 adolescent pregnant women. Of these, 87.3% adolescent pregnant women aged 18-19 years. 95.8% were living in Rural area. Marital status 82.2% were married. Education level primary school 50.8%, living with husband 50%. Father′s occupation, peasant 91.5%, mother′s occupation peasant 89%. Time required to reach health facility one hour or less 83.1%. Time required to reach school one hour or less 66.1%. Awareness on reproductive health 84.7%,on contraceptive 91.5%. Source of information clinics 60.2%. Types of contraceptive used injectable 59.3%. Conclusion: This study found a higher rate of adolescent pregnancy among women attending antenatal clinic in Tumbi Regional Referral Hospital. Adolescents who were more likely to adolescent pregnancy were those with limited knowledge about sexual and reproductive health living in rural from families with low economic status, their mothers had a low level of education.
Udumbara (Ficus racemosa Willd.): A challenging drug in the management of Heavy Menstrual Bleeding
Authors: Megha Gupta  , Anuradha Roy
Published: October 2023

Women of reproductive age frequently have heavy menstrual bleeding (HMB), a common gynecological disease. It is characterized by excessive or prolonged menstrual bleeding that can interfere with a woman’s daily activities and physical, emotional, social, and psychological quality of life. It is defined as cyclic bleeding at normal intervals, the bleeding is either excessive in amount (>80ml) or duration (> 7 days), or both. In India reported prevalence of AUB is around 17.9%. HMB can have various impacts on a woman’s health. In Ayurveda, it may be explained in terms of asrigdara. In traditional drug practices, distinct parts (leaves, stem, root, fruit, seeds, latex, or even entire plant) of Ficus racemosa Willd. are used to manage HMB. Its Sanskrit name is Udumbara. Ficus racemosa Willd. has confirmed various pharmacological actions like hypoglycemic, hypolipidemic, anti-carcinogenic, antidiuretic, hepatoprotective, anti-ulcer, and antifungal. β-sitosterol and glauanol acetate are the phytoconstituent found. In the present review management of HMB with Udumbara as ekal dravya (single drug) with the expected mode of action has been explained. Most of the drug reviews have not explained the mode of action for managing HMB. Understanding the mode of action of Udumbara at different stages of shadkriyakala (stages of disease manifestation and management) of asrigdara will help better administration of the herb and also prevent complications.
Phytochemical screening and evaluation of the antioxidant activity of the leaves and root barks of Dichrostachys cinerea L. Wight and Arn. (Fabaceae): A plant traditionally used for the treatment of asthma in Korhogo
Authors: Adéyolé TIMOTOU  , Logopho Hyacinthe OUATTARA  , Didjour Albert KAMBIRE  , Sourouna KONE  , Doumadé ZON  , Ahmont Landry Claude KABLAN  , Ané ADJOU
Published: October 2023

Dichrostachys cinerea is a plant species with multiple therapeutic uses. The present work focuses on the pharmacological and chemical valorization of the leaves and root barks of this species, harvested in Korhogo (Côte d'Ivoire), for the treatment of asthma. Plant antioxidants could alleviate the symptoms of this pathology. A hydro-ethanol extraction of these organs was carried out by maceration. From the extracts obtained, a phytochemical study in tubes and by TLC revealed the presence of flavonoids, tannins, phenolic acids, saponins, sterols and terpenes in these organs. In addition, the leaves contain coumarins and the root barks alkaloids. Antioxidant activity against the DPPH radical was demonstrated by tube, TLC and spectrophotometric methods. The IC50s of the hydro-ethanol extracts determined showed that the antioxidant power of the leaves (0.06894 mg/mL) is much greater than that of the root barks (0.11147 mg/mL). These results could justify the use of these organs in the traditional treatment of diseases linked to oxidative stress, but particularly asthma. However, further work is required to evaluate the toxicity and antispasmodic effect of these two organs on asthma.
Pengaruh Penambahan Jumlah Pakan PUN-11 Terhadap Pertumbuhan Populasi Cacing Sutra (Tubifex Sp.)
Authors: Nizar Mutia , Thaib Azwar , Nurhayati Nurhayati
Published: October 2023

Pakan alami memegang peranan penting pada stadia pembenihan ikan konsumsi maupun pada ikan hias. Pakan alami yang dapat digunakan adalah cacing sutra. Ketersediaan cacing sutra menjadi salah satu masalah karena ketersediaannya hanya mengandalkan hasil tangkapan alam. Maka dari perlu adanya budidaya cacing sutra.  Pakan merupakan faktor penting dalam budidya cacing sutra, pakan yang diberikan dapat berupa pakan buatan seperti PUN-11. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penambahan jumlah pakan PUN-11 ke dalam  media pemeliharaan mampu meningkatkan pertumbuhan populasi cacing sutra, serta mengetahui dosis optimum untuk menghasilkan jumlah populasi cacing sutra yang maksimum. Hasil penelitian menunjukkan penambahan jumlah pakan PUN-11 ke dalam media pemeliharaan mampu meningkatkan pertumbuhan populasi cacing sutra. Dosis optimum pemberian pakan PUN-11 adalah 1.600 gr/13.500 cm dengan mengahasilkan populasi 7.892 ind.
A Hybrid ROS-SVM Model for Detecting Target Multiple Drug Types
Authors: Ramadhan Nur Ghaniaviyanto , Khoirunnisa Azka , Kurnianingsih Kurnianingsih , Hashimoto Takako
Published: October 2023

Misleading in determining the decision to use the target drug will be fatal, even to death. This study examines five pharmacological targets designated as types A, B, C, X, and Y. Early detection of misleading drug targeting will reduce the risk of death. This study aims to develop hybrid random oversampling techniques (ROS) and support vector machine (SVM) methods. The use of the oversampling technique in this study aims to balance classes in the dataset; due to the data collection in each class, there is a relatively large gap. This study applies five schemes to see which combination of models produces the highest accuracy. This study also uses five types of SVM kernels, linear, polynomial, gaussian, RBF, and sigmoid, combined with the ROS oversampling technique. Our proposed model combines the ROS oversampling technique with a linear SVM kernel. We evaluated the proposed model and resulted in an accuracy of 97% and compared it with several experiments, including the ROS technique with a sigmoid kernel which only resulted in 50% accuracy. It can be seen from the results obtained that the linear kernel is very adaptive to data types in the form of numeric and nominal compared to other kernels. The method proposed in this study can be applied to other medical problems. Future research can be carried out using a combination of other sampling techniques with deep learning-based methods on this issue.
Automatic Weight of Color, Texture, and Shape Features in Content-Based Image Retrieval Using Artificial Neural Network
Authors: Akmal Akmal , Munir Rinaldi , Santoso Judhi
Published: October 2023

Image retrieval is the process of finding images in the database that are similar to the query image by measuring how close the feature values of the query image are to other images. Image retrieval is currently dominated by approaches that combine several different representations or features. The optimal weight of each feature is needed in combining the image features such as color features, texture features, and shape features. In this study, we use a multi-layer perceptron artificial neural network (MLP) method to obtain feature weights automatically and simultaneously look for optimal weights. The color moment is used to find nine color features, Gray Level Co-occurrence Matrix (GLCM) to find four texture features, and Hu Moment to find seven shape features totaling 20 neurons and all of these features become the input layer in our MLP network. Three neurons in output layers become the automatic weight of each feature. These weights are used to combine each feature's role in obtaining the relevant image. Euclidean Distance is used to measure similarity. The average precision values obtained using automatic feature weights are 93.94% for the synthetic dataset, 91.19% for the Coil-100 dataset, and 54.31% for the Wang dataset. These results have an average difference of 5.06% with the target so automatic feature weighting works well. This value is obtained at a hidden layer size of 11 and a learning rate of 0.1. In addition, the use of automatic feature weighting gives more accurate results compared to manual feature weighting.
Classification of EEG Signal using Independent Component Analysis and Discrete Wavelet Transform based on Linear Discriminant Analysis
Authors: Melinda Melinda , Maulisa Oktiana , Nabila Nissa Hasna , Yunidar Yunidar , Enriko I Ketut Agung
Published: October 2023

Autism Spectrum Disorder (ASD) is a neurodevelopment syndrome decreasing sufferers' social interaction, communication skills, and emotional expression. Autism syndrome can be detected using an electroencephalogram (EEG). This study utilized the EEG of autistic people to support the classification study of machine learning schemes to produce the best accuracy. One of the best approaches to classify the EEG signal is The Linear Discriminant Analysis (LDA), a machine learning technique to classify autism and normal EEG signals. LDA was chosen because it can maximize the distance between classes and minimize the number of scatters by utilizing between and within-class functions. This method was combined with other methods: Independent Components Analysis (ICA) and Discrete Wavelet Transform (DWT), to improve the accuracy system. ICA removes artifacts or signals other than brain signals that can cause noise in the EEG signal, so the analyzed signal was a complete EEG signal without other factors. DWT can help increase noise suppression in the EEG signal and provide signal information through frequency and time representation. The EEG dataset was collated from 16 children (eight autistic and eight normal). The signals from the dataset were filtered by artifacts using ICA, decomposed by three levels through DWT, and classified using the Linear Discriminant Analysis (LDA) technique. Using the Confusion Matrix, the results reveal the best accuracy of 99%.
Voice-Authentication Model Based on Deep Learning for Cloud Environment
Authors: Hachim Ethar Abdul Wahhab , Gaata Methaq Talib , Abbas Thekra
Published: October 2023

Cloud computing is becoming an essential technology for many organizations that are dynamically scalable and employ virtualized resources as a service done over the Internet. The security and privacy of the data stored in the cloud is cloud providers' main target. Every person wants to keep his data safe and store it in a secure place. The user considers cloud storage the best option to keep his data confidential without losing it. Authentication in the trusted cloud environment allows making knowledgeable authorization decisions for access to the protected individual's data. Voice authentication, also known as voice biometrics, depends on an individual's unique voice patterns for identification to access personal and sensitive data. The essential principle for voice authentication is that every person's voice differs in tone, pitch, and volume, which is adequate to make it uniquely distinguishable. This paper uses voice metric as an identifier to determine the authorized customers that can access the data in a cloud environment without risk. The Convolution Neural Network (CNN) architecture is proposed for identifying and classifying authorized and unauthorized people based on voice features. In addition, the 3DES algorithm is used to protect the voice features during the transfer between the client and cloud sides. In the testing, the experimental results of the proposed model achieve a high level of accuracy, reaching about 98%, and encryption efficiency metrics prove the proposed model's robustness against intended attacks to obtain the data.
Closer Look at Image Classification for Indonesian Sign Language with Few-Shot Learning Using Matching Network Approach
Authors: Sari Irma Permata
Published: October 2023

Huge datasets are important to build powerful pipelines and ground well to new images. In Computer Vision, the most basic problem is image classification. The classification of images may be a tedious job, especially when there are a lot of amounts. But CNN is known to be data-hungry while gathering. How can we build some models without much data? For example, in the case of Sign Language Recognition (SLR). One type of Sign Language Recognition system is vision-based. In Indonesian Sign Language dataset has a relatively small sample image. This research aims to classify sign language images using Computer Vision for Sign Language Recognition systems. We used a small dataset, Indonesian Sign Language. Our dataset is listed in 26 classes of alphabet, A-Z. It has loaded 12 images for each class. The methodology in this research is few-shot learning. Based on our experiment, the best accuracy for few-shot learning is Mnasnet1_0 (85.75%) convolutional network model for Matching Networks, and loss estimation is about 0,43. And the experiment indicates that the accuracy will be increased by increasing the number of shots. We can inform you that this model's matching network framework is unsuitable for the Inception V3 model because the kernel size cannot be greater than the actual input size. We can choose the best algorithm based on this research for the Indonesian Sign Language application we will develop further.
A Web-based Group Decision Support System for Retail Product Sales a Case Study on Padang, Indonesia
Authors: Azmi Meri , Satria Deni , Mulya Farhan Rinsky , Sonatha Yance , Putra Dwi Sudarno
Published: October 2023

The industrial sector's growth has led to an increase in the number of industrial products available in the market. However, this has made it more challenging for retail merchants to choose which items to sell due to the overwhelming number of options. The seller must carefully consider various factors such as the type, quality, and probability of selling the goods to turn a profit. This research proposes a group decision support system to assist retail sellers in selecting the products to sell. The system is designed to process various information on comparing retail products against specific criteria, enabling sellers to make quick and accurate decisions. To achieve optimal results, this study combines three methods in the decision-making calculation process: Fuzzy Logic, EDAS, and Borda methods. The Fuzzy Logic method is used to assign a value to an unclear criterion, followed by the EDAS method ranking process, and ending with the combination of the decision-making results using the Borda method. The group decision support system is web-based and has been proven to provide effective solutions for retail business actors to increase sales and reduce losses. By using this system, retail sellers can make informed decisions about their products, enabling them to optimize their profits and reduce their risks. In conclusion, the increase in the number of industrial products has created challenges for retail merchants, but this research proposes a solution in the form of a group decision support system. Combining Fuzzy Logic, EDAS, and Borda methods results in an effective decision-making process that allows retail sellers to make informed decisions and achieve their business goals.
Measuring the Effect of E-Learning Information Quality on Studentâ€™s Satisfaction Using the Technology Acceptance Model
Authors: Aljader Huda Khurshed
Published: October 2023

This study analyses a blended e-learning system's information resources. Their quality is assessed based on learners' perceptions using a modified version of the Technology Acceptance Model (TAM). To enable flexible learning and enhance understanding during the COVID-19 epidemic, most Iraqi universities have lately embraced Google Classroom and Moodle in addition to face-to-face (F2F) courses. Based on TAM, individual differences and perspectives were investigated concerning correlations between student satisfaction and technology adoption. There were 270 undergraduate students in the research sample who were enrolled in academic courses at Middle Technical University's (MTU) /Technical College of Management (TCM). A survey was used for data collection. The research was done after developing the model's essential and external variables and selecting their components. Partial least squares structural equation modelling (PLS-SEM) examined path-connected dependent and independent components. The study's results showed how "E-Learning Information Quality" (EIQ) positively impacted students' adoption of e-learning. That is demonstrated by the internal variables' positive correlation, which includes perceived usefulness (PU) and perceived ease of use (PEOU), which can be seen in H1 and H2 by the values of (Î² = 0.204, Î² = 0.715), and which both positively influence attitudes toward use (ATU), which can be seen in H5 were value (Î² = 0.643), and behavioral intention (BIU), which can be seen in H4 was value (Î² = 0.300). Therefore, e-Learning information sources must have value and meaning for students. However, more research is required to evaluate the system's quality. Furthermore, the acceptability of e-learning may change as pedagogies change
A New Face Region Recovery Algorithm based on Bicubic Interpolation
Authors: Al-Hadaad Muntadher H. , Thabit Rasha , Zidan Khamis A.
Published: October 2023

Recently, researchers focused on face image manipulation detection and localization techniques because of their importance in image security applications. The previous research has not highlighted the recovery of the face region after manipulation detection. This paper presents a new face region recovery algorithm (FRRA) to be included in the face image manipulation detection algorithms (FIMD). The proposed FRRA consists of two main algorithms: face data generation algorithm and face region restoration algorithm. Both algorithms start by detecting the face region using Multi-task Cascaded Neural Network followed by a face window selection process. In the face data generation algorithm, the recovery information is generated from the shirked face window using bicubic interpolation technique. In the face region restoration algorithm, the face region zoomed using bicubic interpolation technique. The proposed FRRA has been tested and compared with previous recovery methods for different color face images, and the results proved that the FRRA could recover the face region with better visual quality at the same data length compared to previous methods. The main contributions of this research are a) the suggestion of including a face region recovery algorithm to FIMD, b) the study of previous recovery data generation algorithms for color face images, and c) introducing a new algorithm for generating the recovery data based on bicubic interpolation. In the future, the proposed algorithm can be included in the recent FIMD algorithms to recover the face region, which can be very useful in practical applications, especially those used in data forensics systems.
Prediction of State Civil Apparatus Performance Allowances Using the Neural Network Backpropagation Method
Authors: Kurniawan Puan Maharani , Almais Agung Teguh Wibowo , Hariyadi M. Amin , Yaqin M. Ainul , Suhartono Suhartono
Published: October 2023

Performance allowance is a form of appreciation given by an agency to its human resources. The Office of the Ministry of Religion of Batu City provides performance allowances to civil servants who work in the agency. Several things that affect the provision of performance allowances, such as grade, deduction, taxable income, income tax, and total tax, are used in this study to produce the total gross performance allowances and total performance allowances received. Based on the data obtained, there are some missing data from the parameters of taxable income, income tax, and total tax. This study aims to predict performance allowance when there is missing data. The method used is Neural Network Backpropagation. This study uses 480 data with split data ratios of 50:50, 60:40, 70:30, and 80:20, with epochs 40,000 and a learning rate 0,9. Four types of models used in this study are distinguished based on the number of hidden layers and epochs used. Model A uses two hidden layers to produce the highest accuracy with a 50:50 data split ratio of 65,16%. Model B uses four hidden layers to produce the highest accuracy with a 50:50 data split ratio of 69,34%. Model C uses six hidden layers to produce the highest accuracy with a 50:50 data split ratio of 68,18%. Model D uses eight hidden layers to produce the highest accuracy with a 50:50 data split ratio of 70,90%.
Max Feature Map CNN with Support Vector Guided Softmax for Face Recognition
Authors: Darwis Herdianti , Ali Zahrizhal , Salim Yulita , Belluano Poetri Lestari Lokapitasari
Published: October 2023

Face recognition has made significant progress because of advances in deep convolutional neural networks (CNNs) in addressing face verification in large amounts of data variation. When image data comes from different sources and devices, the identifiability of other classes and the presence of profile face data can lead to inaccurate and ambiguous classification because other classes lack discriminatory power. Furthermore, using a complex architecture with many deep convolutional layers can become very slow in the training process due to a huge amount of Random Access Memory (RAM) usage during the reverse pass of backpropagation. In this paper, we design a light CNN architecture that addresses these challenges. Specifically, we implemented Max-feature-map (MFM) into each convolutional layer to improve the accuracy and efficiency of the CNN. The strength of the support vector-guided SoftMax (SV-SoftMax) is also used in the proposed method to emphasize misclassified points and adaptively guide feature learning. Experimental results show that the 9-Layers CNN with MFM layer and SV-SoftMax outperform VGG-19 with 96.22% validation accuracy and the second rank below FaceNet tested on the same dataset with fewer parameters. Moreover, the model performed well on data that is obtained from various capture devices such as webcam, CCTVs, phone cameras, and DSLR cameras. The implications of this research could extend to scenarios requiring face recognition technology implementation with light size, such as surveillance and authentication systems
Analyzing Coverage Probability of Reconfigurable Intelligence Surface-aided NOMA
Authors: Widodo Agung Mulyo , Wijayanto Heri , Wijaya I Gede Pasek Suta , Wisnujati Andika , Musnansyah Ahmad
Published: October 2023

Along with the explosive growth of wireless communication network users who require large frequency bands and low latency, it is a challenge to create a new wireless communication network beyond 5G. This is because installing a massive 5G network requires a large investment by network providers. For this reason, the authors propose an alternative beyond 5G that has better quality than 5G and a relatively lower investment value than 5G networks. This study aims to analyze the downlink of the cooperative non-orthogonal multiple access (NOMA) network, which is usually used in 5G, combined with the use of a reconfigurable intelligence surface (RIS) antenna with decode and forward relay mechanisms. RIS is processed with a limited number of objects utilizing Rayleigh fading channels. The scenario is created by a user who relays without a direct link for users near the base station and with a direct link for users far from the base station. Under the Nakagami-mÂ fading channel, the authors carefully evaluated the probability of loss for various users as a function of perfect channel statistical information (p-CSI) utilizing simply a single input-output (SISO) system with a finite number of RIS elements. As a key success metric, the efficiency of the proposed RIS-assisted NOMA transmission mechanism is evaluated through numerical data on the outage probability for each user. The modeling outcomes demonstrate that the RIS-aided NOMA network outperforms the traditional NOMA network
Factors Influencing Readiness towards Halal Logistics among Food and Beverages Industry in the Era of E-Commerce in Indonesia
Authors: Muttaqin Prafajar Suksessanno , Setyawan Erlangga Bayu , Novitasari Nia
Published: October 2023

Based on Global Islamic Economy Indicator 2019/2020 report, Indonesia is in the fourth position globally as a country that uses a Sharia economic system. Seeing Indonesia's opportunities, it should be able to act as a regional and global halal hub. Efforts to encourage the halal industry through strengthening the halal value chain are one of the strategies to encourage Indonesia to become a global halal hub player. This study utilizes the structural equation modeling to examine relationships among key factors affecting readiness towards halal logistics in the food and beverages industry in Indonesia. 13 key factors are confirmed with measurement-model results, includingÂ (1) Cleanliness, (2) Safety, (3) Islamic Dietary Law, (4) Physical Segregation, (5) Material Handlings, (6) Storage and Transport, (7) Packaging and Labelling, (8) Ethical Practices, (9) Training and Personnel, (10) Resource Availability, (11) Innovative Capability, (12) Marketing Performance, (13) Financial Performance. The population in this study is in the food and beverage industries, especially in Semarang, Yogyakarta, Malang, and Surabaya. Cluster random sampling was used in this research with as many as 150 sample respondents. A survey with an online questionnaire was conducted in this research. The structural-model results reveal directions of relationships among key factors. Resource availability, training and personnel, and innovative capability are the most important factor in halal supply chain readiness. Further research can focus on other industrial sectors, such as fashion and tourism, as stated in the 2019-2024 Indonesian Sharia Economic Masterplan
Storying with Homelands
Authors: Soyan Peemot Victoria
Published: October 2023

Pastoralists who live in the Tyva Republic approach their home landscapes as sentient and engage with them through a reciprocal relationship. The sociality of landscapes builds upon a multigenerational belonging amongst Tyva kinship groups with their homelands. In this study, I explore how community-homeland belonging allows for a more-than-human practice of engaging with the past—storying with homelands. I draw on a case study, which involves the construction of a Buddhist stupa by the Soyan kinship group at a site named Chylgy-Dash in 2019. I suggest that the community’s storying with an endangered landscape aims, first, to bridge with the past across socialist decades when the state neglected human–nonhuman relationships, and, second, to enact and to story-into-being community-homeland belonging.
Keywords: Indigenous historicities, more-than-human storytelling, memory politics, post-socialism, community-homeland belonging
The Dawn of Everything: Social Science with a Mission
Authors: Eräsaari Matti
Published: October 2023

The Dawn of Everything is a general-audience social science book with a mission. In a nutshell, the book argues against evolutionary accounts that view  societal development as a trade-off involving increased social complexity, increased social control, and the loss of egalitarian ideals. Since Rousseau’s Social Contract, Graeber and Wengrow argue, Western thought has followed a ‘myth’ which sees inequality and coercion as necessary byproducts of the transition to higher states of civilisation. Laying out a broad array of recent archaeological and classic anthropological evidence, the authors argue that unilineal accounts of world history ignore too much evidence to the contrary to be convincing.
The Analysis of Illustrated Story Books for Children Aged 3-6 in Terms of Protection Rights
Authors: YALMAN POLATLAR Duygu , ÖZTABAK Muhammet Ü.
Published: October 2023

This study aims to analyze illustrated story books for children aged 3-6 in terms of the protection right found in the Convention on the Rights of the Child. One of the qualitative research methods, document analysis was used, and the data were decoded through descriptive analysis method. The data set of the research was determined using criteria sampling method out of the best-selling illustrated story books of the publishing houses that participated in Istanbul Book Fair. Upon contacting 30 publishing houses, 102 books were included in the data set. In order to find the messages given directly or indirectly in the illustrated story books, the sentences and pictures were analyzed. “Protection rights” was based on as the main category in this analysis. The most supported rights found in the books were “The best interests of the child”, “Getting informed and protected against harmful publications”, and “Physical protection”, while the most violated rights were “The best interests of the child”, “Getting treated equally and protected against discrimination”, and “Child’s right of being a child”, respectively. Therefore, illustrated story books act as a guide to children in this critical period they are in.
Optimization of Probiotic Addition in Feed on Growth of Baung Fish (Hemibagrus nemurus)
Authors: Sri Sri , Setiawan Agus , Sarmila Sarmila
Published: October 2023

Baung fish is one type of local fish that has a slow growth. One of the efforts to increase the growth of baung fish can be done by using probiotics. This study aimed to determine the optimum dose of probiotic addition for the baung fish rearing. The experiment used a completely randomized design (CRD) with four treatments, three replications, and one control. The probiotic doses: 2 ml/kg of feed (A), 4 ml/kg of feed (B), 6 ml/kg of feed (C), 8 ml/kg of feed (D) and 0 ml/kg of feed (control) were used as treatment. The commercial feed was given ad satiation with a frequency of feeding three times a day. Observations were made for two months. The results showed that the D treatment of 8 ml/kg of feed gave the best absolute weight growth and feed conversion ratio. While, the baung fish survival rate was not significantly different on all treatments.Keywords: Baung fish, growth, probiotics
Correlation of APGAR family with mental health: an observational study in Indonesia
Authors: Aziz Yusuf Abdullah , Susanto Syarafina Ayu Putri , Romadhon Yusuf Alam
Published: October 2023

Mental health disorders adversely affect their general health and quality of life (Wang et al., 2020). In Indonesia, the prevalence in 2018 was 6.1%, and mental-emotional disorders were 9.8% (Kemenkes RI, 2019). A systematic review reported that in many studies, it is stated that the family has a protective role against mental health disorders or behaviors that affect mental health in general (Wlodarczyk et al., 2017). Studies specifically evaluating the effect of family functioning on mental health in the presence of symptoms of depression, anxiety, and stress are limited. This study used a cross-sectional study design, evaluating the relationship between family functioning and mental health at one time. This study outputs data from Field Lab activities in the Public Health and Family Medicine Block and Life Skills Block in two different batches in 2020 and 2021 at the Faculty of Medicine, Universitas Muhammadiyah Surakarta. A total of 1475 research subjects voluntarily participated in this study. In this study, multivariate analysis of statistically consistent variables highly significant on depression, anxiety, and stress is APGAR Family, with p values of 0.000, 0.000, and 0.001, respectively. The second statistically consistent variable is a significant - highly significant effect on the level of depression, anxiety, and stress with p values of 0.001, 0.015, and 0.001, respectively. A dysfunctional family and unmarriedness are consistent risk factors for depression, anxiety, and stress disorders.
The effectiveness of trivariate shrinkage computer radiography (CR) technique on image quality and anatomical information in radiotherapy geometric verification
Authors: Cristian NP Arpan Doli , Latifah Leny , Rusyadi Luthfi
Published: October 2023

Geometric verification is mandatory before radiotherapy treatment by comparing the image suitability results from the Computer Radiography (CR) imaging portal with the planned reference image at the TPS (Treatment Planning System). EPID is an advanced technology that has yet to be applied to all radiotherapy departments in Indonesia because it is commercial, so CR is an alternative to geometric verification. The purpose of analyzing the effectiveness of using the Denoising Technique with Trivariate Shrinkage CR compared to EPID in improving image quality and anatomical information on geometric radiotherapy verification. Research Method experimental quasy or pseudo experiment with pretest and posttest design of one group with control design. The respondents were all patients who underwent CR and EPID examinations. Determination of respondents using consecutive sampling so that the number of samples obtained was 16 samples. Denoising was performed using the Matlab Program with Trivariate Shrinkage on CR and compared to EPID. There are differences in anatomical information of geometric verification of radiotherapy carried out before and after denoising using Trivariate Shrinkage, as seen from all variables obtained p-value <0.05. There is no difference in anatomical information of geometric verification of radiotherapy denoising using Trivariate Shrinkage on CR compared to EPID, as seen from the variable obtained p-value >0.05. In conclusion, the Trivariate Shrinkage Computer Radiography (CR) technique effectively improves image quality and anatomical information in the geometric verification of radiotherapy. The Trivariate Shrinkage Computer Radiography (CR) technique can produce optimal images and provide good anatomical information comparable to EPID.Â Â Â
The correlation between the mother's knowledge about toddler growth and development with the compliance of the mother's visit
Authors: Arifah Siti , Pebriana Ni Putu Sasmita
Published: October 2023

Good maternal knowledge will affect how mothers care for their childrenâ€™s health, nutrition and monitor their child's growth and development. One of the strategies carried out is to bring toddlers to Posyandu. The regularity of mothers visiting Posyandu will be very useful in monitoring the early detection of toddlers' growth, development, and health status so that mothers know the abnormalities of their children. This study aims to find out how mothers' knowledge about toddler growth and development with the compliance of mothers visiting Posyandu. This study used a correlational quantitative method with a cross-sectional approach. With the Saturated Sample Technique, the entire research sample was used as research respondents, as many as 30. The instrument used is a questionnaire. Primary data collection from questionnaires and secondary data was based on mothers' MCH/KMS books and Posyandu records. Data analysis using Chi-Square statistical test. The study results obtained an alternative value of the Chi-Square test, namely Fisher's Exact Test, with a p-value= 1,000, which means there is no correlation between the two variables. The mother's level of knowledge about toddler growth and development has nothing to do with the mother's obedience or disobedience to visit the posyandu regularly every month.
Biliary gastritis. Pathomorphological features and differential diagnosis
Authors: Nasyrov R. A. , Fominykh Yu. A. , Kalinina E. Yu. , Kizimova O. A. , Kovtun D. P. , Shcherbakova E. V. , Minina O. S. , Zavitaeva A. P.
Published: October 2023

The review article discusses the modern pathogenetic links of biliary gastritis, namely the role of endothelial dysfunction, intestinal metaplasia in inflammation and the influence of Helicobacter pylori infection. The problem of combined damage to the mucous membrane of HP-associated and biliary gastritis remains relevant, since modern foreign studies have not come to a consensus, but most authors state increased carcinogenesis of the stomach with a positive HP status against the background of the course of pathological duodenogastric reflux. The article also presents original materials of histological examination of biliary, HP-associated, autoimmune and hyperplastic gastritis with similar morphological features, thereby demonstrating the difficulties of differential diagnosis.
Evaluation of enterohepatic circulation of the bile acids in patients with non-alcoholic fatty liver disease
Authors: Vakhrushev Ya. M. , Lukashevich A. P. , Suchkova E. V.
Published: October 2023

The aim. To study the clinical manifestations and features of changes in the spectrum of the bile acids in bile and blood in patients with non-alcoholic fatty liver disease. Materials and methods. 54 patients with non-alcoholic fatty liver disease at the stage of steatosis were examined. The median age was 50 years (45; 55). Complaints, objective symptoms and the results of laboratory and instrumental studies of the liver were used to verify non-alcoholic fatty liver disease. The content of the bile acids in bile and blood was determined using an AmazonX mass spectrometer (Bruker Daltonik GmbH, Bremen, Germany). Results. The majority of the examined patients (77,8%) with non-alcoholic fatty liver disease had subjective and objective symptoms of damage to the hepatobiliary system and intestines. According to the results of mass-spectrometry, a decrease in the total amount of primary free bile acids (cholic, chenodeoxycholic) and an increase in the total content of conjugated bile acids (glycocholic, glycodeoxycholic, taurocholic, taurodeoxycholic, ursodeoxycholic) in portions “B” and “C” bile, as well as blood compared with the control group. The concentration of acids conjugated with glycine was higher than that of taurine conjugates, while the correct ratio of glycine conjugates to taurine was observed (3: 1 and higher). Conclusion. Changes in the spectrum of the bile acids in bile and blood, firstly, is an indicator reflecting the violation of enterohepatic circulation, and, secondly, demonstrates the increasingly obvious importance of the bile acids in the pathogenesis of non-alcoholic fatty liver disease.
Pilar - Pilar Ekonomi Islam
Authors: Widianti Indri
Published: October 2023

PILAR-PILAR EKONOMI ISLAMI. Kepemilikan (Al - Milkiyah), Sebab sebab kepemilikan dan jenis jenis kepemilikanII. Pemanfaatan Kepemilikan (At - Tashoruf Fil Milkiyah), Penggunaan harta (Infaqul Mal) dan pengembangan harta (Tanmiyatul Mal)III. Distribusi Kekayaan Di Tengah Manusia (Tauzi'u Tsarwah Baynannas), Distribusi secara ekonomis dan distribusi secara non ekonomis
Resonant Phenomena of Faraday Waves: Reproducibility
Authors: Val Baker Amira , Csanád Máté , Fellas Nicolas , Atassi Nour , Oomen Paul
Published: October 2023

Standing waves formed on a vibrating fluid layer when a critical amplitude is applied are known as Faraday waves. The morphology of the observed phenomena is dependent on both the frequency of vibration and the boundary conditions. To understand the degree of this dependency, as well as any internal or external factors, we investigated the resonant phenomena observed in a circular cuvette for a range of frequencies. We find the symmetry fold is dependent on both the driving frequency and the amplitude. However, variance was consistently observed which showed no significant dependence on internal or external factors. We discuss possible causes for this variance and potential future research.