bluuebunny/crossref_metadata_2025 huggingface dataset:
Smart robot using in smart homes
Authors: Prof.Dr. Bellatca Naptsoksch
Published: May 2023

the smart robot is an important part of the smart homes system, in this research the Arduino Vacuum Cleaner we built is very compact and practical for potential office and home use. The developed robot is disk-shaped, equipped with vacuuming and cleaning technology and controlled by Arduino nano.

It sucks dirt via a retractable dustbin, using a fan within a motor. the device will be deployed for office and home use thereby making cleaning a fully autonomous duty. This robot will have ultrasonic sensors and an IR proximity sensor. The ultrasonic sensor will allow the robot to avoid obstacles so that it can move freely until the room is properly cleaned, and the proximity sensor will help it to avoid falling from stairs.

One of the most important features of our floor cleaning robot is that it is fast and flexible in movement, able to deal with all dirt and stains on floors without human intervention.

It is also characterized by the fact that it can be disassembled and installed with ease and simplicity, so that in the event of a malfunction, any malfunction will be repaired at the same time. It is also characterized by possessing sensors, so it can identify the .It is possible to develop this technique to become more used in various fields. Because we are in the world of technology development, it becomes very easy to develop such

projects to benefit from them in daily life.
Artificial Intelligence and Its Role In The Development Of Personalized Medicine And Drug Control
Authors: Prof.Dr. Johan Waden
Published: May 2023

DNA sequencing, imaging procedures, and wireless healthcare monitoring devices are all examples of high-throughput, data-intensive precision medicine assays and technologies that have necessitated new methods for analysing, integrating, and interpreting the enormous volumes of data they produce. While several statistical approaches have been developed to deal with the "big data" generated by such tests, previous experience with artificial intelligence (AI) techniques suggests that they may be especially well-suited. Furthermore, data-intensive biomedical technologies applied to study have shown that people differ greatly at the genetic, biochemical, physiological, exposure, and behavioural levels, particularly with regards to disease processes and treatment receptivity. This indicates the need to 'personalise' medications so that they better suit the complex and often individual needs of each patient. AI can play a significant role in the clinical research and development of new personalised health products, from selecting relevant contribute to sustainable to testing their utility, because of the importance of data-intensive assays in revealing appropriate intervention objectives and approaches for personalising medicines. The work here presents a variety of ways in which AI can contribute to the progress of personalised medicine, and we argue that the success of this endeavour is critically dependent on the improvement of appropriate assays and methods for storing, aggregating, accessing, and ultimately combining the data they generate. In addition, the manuscript also discusses the potential future research directions and highlights the shortcomings of various AI methods.
Share references by using web pages
Authors: Prof.Dr.Maria A. Wimmer
Published: May 2023

During the past recent years, there has been tremendous development reaming the concept of digital libraries-a knowledge base that can be stored and retrieved through online networks. Digital libraries are the most complex form of information systems that support digital document preservation, distributed database management, hypertext, filtering, information retrieval, and selective dissemination of information. This has really overcome geographical barriers offering a wide range of academic, research, and cultural resources with multimedia effects that can be accessed around the world over the distributed networks. The paper examines the concept of Digital library, the technology that has enabled its emergence & architecture of the digital library system. It also highlights the digital library projects undertaken in USA, UK, and India. Here the authors explored the unique feature of digital library and possible challenges ahead for library and information professionals in the digital environment.
The Steganography Based On Chaotic System for Random LSB Positions
Authors: Rusul Mansoor Al-Amri  , Dalal N. Hamood  , Alaa Kadhim Farhan
Published: May 2023

The objective of hiding text in an image is hiding text without raising suspicions that the image contains a hidden message or text, which leads to protecting and maintaining text confidentiality. The previous hiding methods have problems in capacity, randomization, and imperceptibility. This paper will be solved some of these problems; we suggested a new method for hiding text in an image. Firstly, encrypting the text by the AES-192 bit algorithm for obtaining a secret message. When the initial key of the AES-192 (bit) algorithm is generated by a chaotic system for randomness purposes, secondly, hiding the secret message is into a gray image for obtaining a stego-image. The hiding step is based on a proposed map that chooses from the last round of key expansion in the AES-192 algorithm. This map represented random positions of LSB in each byte of the gray image. The experimental result of this method proved a successful method based on metric criteria. Also, this method is the very speed for hiding ciphertext in the gray image as well as extracting ciphertext from the gray image. Also, it is very safe because it is difficult for attackers to distinguish between the original image and the stego image therefore the correlation between the original image and the stego- image is very close to 1.
Networks Data Transfer Classification Based On Neural Networks
Authors: Abd Ali Doaa Mohsin , Chalob Donia Fadil , Khudhair Ameer Badr
Published: May 2023

Data transmission classification is an important issue in networks communications, since the data classification process has the ultimate impact in organizing and arranging it according to size and area to prepare it for transmission to minimize the transmission bandwidth and enhancing the bit rate. There are several methods and mechanisms for classifying the transmitted data according to the type of data and to the classification efficiency. One of the most recent classification methods is the classification of artificial neural networks (ANN). It is considered one of the most dynamic and up-to-date research in areas of application. ANN is a branch of artificial intelligence (AI). The neural network is trained by backpropagation algorithm. Various combinations of functions and their effect while utilizing ANN as a file, classifier was studied and the validity of these functions for different types of datasets was analyzed. Back propagation neural university (BPNN) supported with Levenberg Marqurdte (LM) activation function might be utilized with as a successful data classification tool with a suitable set of training and learning functions which operates, when the probability is maximum. Whenever the maximum likelihood method was compared with backpropagation neural network method, the BPNN supported with Levenberg Marqurdte (LM) activation function was further accurate than maximum likelihood method. A high predictive ability against stable and well-functioning BPNN is possible. Multilayer feed-forward neural network algorithm is also used for classification. However BPNN supported with Levenberg Marqurdte (LM) activation function proves to be more effective than other classification algorithms.
Some weak hereditary properties
Authors: Mohammed Raheem Taresh  , Khalif Hussain Ali
Published: May 2023

called f-normal space, which we studied and identified some of its properties as well as relationships with other sets, and we obtained some results that show the relationship between sets using theories obtained using the set from Style   (f-open)
Dynamic Cryptography Integrated Secured Decentralized Applications with Blockchain Programming
Authors: Kh-Madhloom Jamal
Published: May 2023

Blocks and chains are the building blocks of the blockchain, which is a community network. Blocks and chains are two terms used to describe collections of data information. The most fundamental need for a blockchain is that these postings be connected by cryptography, which is the case here. Cryptography. the entries in each block are added to as the list grows. Although the concept of blockchain cryptography is difficult, we have made it easier for you to understand. Asymmetric-key cryptography and hash functions are used in blockchains. Hash functions provide participants with a complete image of the internet. The SHA-256 hashing algorithm is often used in blockchains. In Bitcoin, where addresses are tracked by public-private key pairs, blockchains are often used. The public key in blockchain cryptography is a person's address. All participants have access to the participant's public key. The private key is used to get access to the address database and to authorise activities using the address. To ensure the integrity of the blockchain ledger, encryption plays a key role. Each event on the blockchain is recorded using encrypted data. As long as each user has access to their cryptographic keys, they may buy or trade cryptocurrencies. The root hashes of all transactions are stored in blockchains via cryptographic hashing. If somebody attempts to tamper with any data upon that blockchain, the main hash will have a completely new hash. Root hash comparisons may be performed on any other system to check whether the data is safe.
Perdamaian Melalui Pengorbanan dalam Perspektif Masyarakat Toraja
Authors: PANCARANI YUNI
Published: May 2023

Salah satu pandangan unik orang Toraja tentang cara menjaga perdamaian adalah dengan berkorban sebesar-besarnya demi perdamaian dengan orang lain. Dalam ideologi atau falsafah orang toraja dikenal dengan unnalli melo. Unnalli melo artinya membeli kebaikan meskipun harus melalui pengorbanan. Pengorbanan ini berkaitan dengan mengorbankan perasaan, harta, bahkan harga diri. Seseorang yang mau berkorban untuk menjaga perdamaian meskipun ia berada di pihak yang benar akan dianggap seseorang yang bijaksana dan mendapat pengakuan sosial. Pengorbanan yang dilakukan semata-mata untuk menjaga agar tercipta kedamaian meskipun pihak yang berkorban tersebut harus dirugikan. Keputusan Unnalli Melo muncul karena adanya motivasi tetua adat atau tokoh masyarakat kepada pihak yang bersengketa untuk berkorban demi terciptanya ketentraman dalam keluarga atau masyarakat.Kata kunci: Perdamaian, Pengorbanan, Unnalli Melo.
Konsep Filosofi Unnali Melo Sebagai Upaya Menjaga Kerukunan (Karapasa) Bagi Mayarakat Toraja
Authors: Dwifani Mentari
Published: May 2023

The study in this article is the development of a philosophical concept in an effort to maintain harmony (hunger) for the Toraja people. This study contains the concept of the Unnali Melo Philosophy as an effort to maintain harmony for the Toraja people and the relationship with Tongkonan which has the same meaning as Unnali Melo itself, namely as a means of making peace or efforts to maintain unity with other people. And provides an explanation of To sengserek which means a unity of the pieces of an ethnic group that exists in Toraja.Keywords: Toraja, Tongkonan, Unnali Melo, To Sangserekan
Rule-ish Patterns in the Psychology of Norms
Authors: Westra Evan , Andrews Kristin
Published: May 2023

Commentary on Cecilia Heyes' "Rethinking Norm Psychology." https://psyarxiv.com/t5ew7/
Rape Myth Acceptance as Networks of Discursive Expressions
Authors: Luke Timothy John
Published: May 2023

For the last four decades, researchers have developed quantitative measures of the acceptance of rape myths – cultural tropes that justify sexual violence. From their initial conceptualization, rape myths were thought to exist at a cultural level and to contribute to a broader ideology supportive of sexual violence. However, prevailing statistical models of rape myth acceptance are inconsistent with this understanding. Here, I argue that rape myth acceptance can be conceptualized as a network of discursive expressions –a person’s current willingness to voice these cultural myths, not necessarily an indicator of any persistent belief. If so, network models should better represent rape myth acceptance than common cause models, and endorsements of rape myths may be unstable over time. Analyzing data from twelve previous studies (total N = 5,882), I find that (1) network models of rape myth acceptance generally outperform factor models; (2) rape myth acceptance positively correlates with instability over time; and (3) networks of rape myth acceptance are more strongly connected when related attitudes, such as sexism, are weaker. Using the empirically estimated network models, I propose a formal computational model and conduct simulations demonstrating the complex dynamics of rape myth expression over time. These empirical and simulation results are inconsistent with approaches that cast rape myth acceptance as persistent individual beliefs, are more consistent with a conceptualization of rape myth expression as motivated (rather than primarily cognitive) and suggest new avenues for research and practical interventions.
State Encroachment of Human Self: A Case Study of Citizenship
Authors: Subedi Tek Nath
Published: May 2023

State is the most powerful of all social institutions. It is supposed to enforce law and order in its territory, and ensure equality, liberty and fraternity in society. It provides citizenship certificate to its people by which an individual becomes a formal citizen of a nation. The citizenship certificate is often equated with national identity, which grants people certain rights and privileges. One can choose a partner, cast a vote, start a job, take the bank-loan, run a business, get into the share-market, or travel around the world alone only after receiving the maturity-license. In other words, the obtaining of a citizenship certificate bestows a person with a sense of triumph and liberation. Looking at the increased mobility of people from one place to another after being dissatisfied with the previous state of ‘citizenship’ and being fond of achieving a new type of ‘citizenship’ indicates that the citizenship certificate fosters the human self. Besides, citizenship has a responsibility side, which expects huge responsibility from the citizens. The responsibility-side seems as if it has dived deep into the human-self, terrorized the individual subjectivity and socialized the citizens to be highly submissive to it. Looking at the gap between the opportunity- and threat-side of the citizenship debate, this article attempts to examine whether the citizenship certificate liberates human subjectivity. It comes with a conclusion that the customary provision of a citizenship is more to offend than liberate the human self.
Diagnostic Laparoscopy to assess tubal and pelvic pathology in patients of subfertility: A retrospective analysis
Authors: Subedi Nilam , Ghimire Asmita , Pant Padam Raj
Published: May 2023

Aims: To assess the tubal pathology contributing to primary and secondary infertility by laparoscopic examination.
Methods: The study was carried out in the department of Obstetrics and gynecology, Grande International Hospital. This is a retrospective study conducted in tertiary care hospital over a period of 2 yrs. From 2020 February to 2022 January. All patients with complaints of infertility (primary and secondary) who were admitted, evaluated and operated for infertility in Obstetrics and Gynaecology department of Grande international Hospital.
Results: Of the 52 patients minimum age was 20 and maximum was 46 with mean age of 30.52±4.885. Thirty eight patients had primary infertility and 14 had secondary. Forty patients had normal uterus while 12 had enlarged uterus. Hydrosalpinx was found in 11.5 % and 30.8% in right and left tube respectively. Pyosalpinx was found in 9.6% and 7.7% in right and left tube respectively. Bilateral tubes were patent in 22 cases while bilateral blocked tube was found in 13 cases so rest 17 cases had unilateral tubal block. Pelvic adhesions were found in 44.2 % cases. Most of them were associated with endometriosis (15.4%) followed by ovarian cyst (11.5%) and fibroid uterus (11.5%).
Conclusions: Majority had normal tubal pathology followed by edematous tube, hydrosalpinx and pyosalpinx. Endometriosis, fibroid and ovarian cyst were commonly associated conditions.
Clinical analysis of ectopic pregnancy in a tertiary center in rural Telangana
Authors: Anusha N S Sai , Hota Basanta Manjari , Movva Naimisha
Published: May 2023

Aims: To find the incidence, risk factors, morbidity and mortality in ectopic pregnancy in a tertiary center in rural Telangana.
Methods: This retrospective observational study was conducted in the Department of Obstetrics and Gynecology, Mamata Medical College, Khammam, Telangana State, India, over 5 years from 2017 to 2021. Detailed informative data of all admitted and treated cases of ectopic pregnancy were collected, analyzed and discussed.
Result: The incidence of ectopic pregnancy was 1.3 per 100 pregnancies and 2.5% case fatality. The majority of cases were in the 20-30 years of age group (82.5%); multipara (50%) and gestational age of ≤ 8 weeks (62.5%). History of abortion was the most common risk factor (67.5%). The classical triad of amenorrhoea, pain abdomen and bleeding per vagina was present in 45% of cases; and amenorrhea (97.5%), pain abdomen (87.5%) and vaginal bleeding (42.5%), abdominal tenderness (85%) and unstable hemodynamic (22.5%) were reported. The fallopian tube was the commonest site and operative management was required in 97.2% of cases.
Conclusion: Prevention of known risk factors, early reporting and referral in need, diagnosis and effective management is the way to a better outcome in ectopic pregnancy.
Clinical and Demographic Profile of Covid-19 Infected Pregnant Women admitted in Obstetric Ward
Authors: Thapa Meena , Karki Dilasha , Maharjan Sujata , Lama Lakpa Dolma
Published: May 2023

Aims: To evaluate the severity of the infection among pregnant women in an urban area of Nepal during the first surge in COVID-19 cases in Nepal in the year 2020.
Methods: This is a retrospective and descriptive study carried out at Department of Obstetrics and Gynecology in Kathmandu Medical College, Kathmandu, Nepal, from August 2020 to January 2021. All the Covid infected pregnant women admitted in Obstetric ward for various presenting symptoms were included.
Results: Among 52 Covid-19 positive pregnant women admitted for various obstetrical and medical complaints, 90.38% were asymptomatic at the time of admission. Those who were symptomatic (9.61%) had mild form of infection. Majority of infected women were admitted in the month of October and November with most common presentation being women in labour (48.07 %).
Conclusions: Pregnant women with SARS Covid-19 infection has no greater threat to their health.
Analysis of the Factors leading to Severe Acute Maternal Morbidity and Maternal Mortality during COVID 19 Pandemic
Authors: Shrestha Junu , Thapa Sudiksha , Sharma Nidhish
Published: May 2023

Aims: To determine prevalence, causes and factors leading to severe acute maternal morbidity and mortality during COVID 19 pandemic.
Methods: The was a cross sectional observational study conducted in the department of Obstetrics and Gynaecology of Manipal teaching hospital from March 2020 to February 2022 amid COVID 19 pandemic. Women who sustained severe acute maternal morbidity (according to World health organization organ system criteria) and maternal deaths during pregnancy, labour and six weeks postpartum were included. Maternal characteristics, total live births, pregnancy outcome, causes and factors leading to morbidity and mortality were noted. The acquisitioned data was analyzed using Statistical Package for Social Sciences version 21.
Results: There were 37 cases of severe acute maternal morbidity and 2 cases of maternal deaths. The severe acute maternal morbidity ratio was 9.4 per 1000 live births and maternal mortality ratio was 51 per 100,000 live births. Therefore, severe acute maternal morbidity mortality ratio was 18.5:1 and mortality index 5.1%. Haematological and coagulation system (45.9%) and neurological system (29.7%) were the common organ systems involved. Hypertensive disorders (40.5%) and haemorrhage (32.4%) were the main causes of severe acute morbidity. Both maternal deaths occurred due to eclampsia. There was no severe acute maternal morbidity or mortality due to COVID infection in pregnancy. Delay in seeking and reaching to the health centre (65%) was major delay leading to severe morbidity and mortality.
Conclusions: Indices and causes of severe acute maternal morbidity and mortality during COVID 19 pandemic was not worse compared to those prior to COVID 19 pandemic. Primary delay in seeking and reaching health care was the main factor leading to severe morbidity and mortality.
Faktor Penghambat dan Pendukung Komunikasi antara Guru dan Siswa Tuna Rungu di SLBN Kota Sungai Penuh
Authors: Nuzuli Ahmad Khairul
Published: May 2023

Komunikasi merupakan sebuah kebutuhan. Semua orang ingin komunikasi yang dilakukan berjalan dengan lancar dan tidak terhambat. Namun, hambatan komunikasi selalu ada. Termasuk proses komunikasi yang dilakukan oleh siswa tunarungu. Penelitian ini bertujuan ingin melihat apa saja faktor penghambat dan pendukung komunikasi antara guru dan siswa tuna rungu di SLBN Kota Sungai Penuh. Penelitian ini menggunakan metode kualitatif deskriptif dengan pendekatan fenomenologi. Hasil penelitian menunjukkan faktor penghambat yang ditemukan adalah hamabat fisik dan hambatan sematik. Sedangkan faktor pendukung adalah kejelasan, ketepatan, konteks dan budaya.
Praktik Komodifikasi, Spasialiasi dan Strukturasi Perusahaan Media Grup Emtek
Authors: Sari Putri Widya
Published: May 2023

Grup Emtek melakukan investasi ke perusahaan digital media milik Raffi Ahmad yaitu RANS Entertainment merupakan suatu bentuk spasialisasi yang dilakukan perusahaan media berdasarkan pada kajian ekonomi politik Vincent Mosco. Kajian ekonomi politik pada organisasi media melihat bagaimana praktik produksi, distribusi dan konsumsi yang berhubungan didalamnya. Tujuan penelitian ini adalah untuk membahas praktik-praktik komodifikasi, spasialisasi dan strukturasi pada Grup Emtek sebagai salah satu perusahaan konglomerasi media di Indonesia dengan kepemilikan penyiaran saluran televisi yang semula hanya SCTV lalu bertambah menjadi Indosiar dan Moji serta perluasan pada bidang media dan digital lainnya. Metode penelitian menggunakan studi literatur dengan data sekunder berupa data dari buku, literatur, undang-undang, makalah, artikel, bahan-bahan di Internet atau data terpublikasi. Hasil penelitian ini menunjukkan bahwa Grup Emtek melakukan praktik-praktik komodifikasi, spasialisasi dan strukturasi sebagai perusahaan media komersial yang bertujuan untuk keuntungan. Kebaruan dalam penelitian ini ialah melihat praktik ekonomi politik media Grup Emtek yaitu komodifikasi konten, komodifikasi pekerja, komodifikasi audiens, spasialisasi dan strukturasi.
A Systematic Literature Review on Communication In Health Using Narrative Theory
Authors: Wismashanti Rizky Amalia , Irwansyah Irwansyah , Azizah Kianti , Sugiarto Sugiarto
Published: May 2023

This article is structured to find out the use of Narrative Theory in the current context of health communication. The main question discussed is: how is the application of Narrative Theory in the context of health communication in the last four years. For answering this research problem using qualitative methode, a study based on a systematic literature review was conducted. The research was conducted using Preferred Reporting Items for Systematic narrative theory, communication in health (Results) Narrative theory in the context of health is considered to function effectively to prevent disease. This is because a delivery with this narrative is easier for people to remember. In addition, the narrative is also used to help the healing process by placing narration as a vessel to express one's feelings. The narrative is also considered motivating in managing emotions for healing. The use of narrative in the patient's healing process does not stand alone but is used as a complement to the healing process, in addition to medication and physical therapy. Currently, narratives can be mediated digitally. The conclusion from this study, further research and directions are needed regarding communication in the health context using Narrative Theory.
FEATURES OF THE CALCULATION OF ROLLS ON THE FATIGUE STRENGTH
Authors: Samokhval Volodymyr , Stasko Yevhen
Published: May 2023

On modern rolling mills, manufacturers have the possibility to use a wide range of materials with technologically determined properties, which allows for effective use of rolls and improvement of technical and economic indicators of production processes. Reasonable choice of materials and properties of rolls is impossible without reliable methods of calculating the strength and predicting the service life of the rolls. In particular, increasing of the reliability of methods for calculating the fatigue strength of rolls is an urgent task, both for scientists and for technologists and specialists of rolling mills.

The purpose of the work is to study the features of fatigue calculation of rolls based on the predicted number of load cycles. The work solves the problem of assessing the possibility of applying a known method of determining the predicted number of load cycles and studying the features of such a method for rollsofrolling mills.

The method of calculation based on the approximation of Woehler curves for the roll material by Beskin's power dependence within the zone of high cycle fatigue, which was determined by the number of cycles from 1·103 to 5·106, was considered. It has been proven that such a technique can be used for rolls into account the identified features. The main features of the calculation of rolls for fatigue strength include: a symmetrical cycle of changes in bending stresses and a pulsating cycle of changes in torsional stresses; mandatory consideration of working conditions due to the modified endurance limit of the material; compliance with the condition that the working stresses exceed the modified endurance limit, but are less than the admissible stresses for the roll material; taking into account the stress concentration depending on the shape of the grooves that form the passes. Consider influence the effect of stress concentration in the grooves of the rolls requires clarification based on empirical data of a certain rolling mill.

The application of the fatigue calculation method for rolls, with considerthe identified features, will allow to increase the accuracy of determining the predicted terms of operation of the rolls and determining their consumption.
The Democratic Nature of the Internet’s Infrastructure
Authors: Komaitis Konstantinos
Published: May 2023

The strength of the Internet lies in its original design, which in some ways mirrors democratic ideas. As with the separation of powers in a true democratic state, the architecture of the Internet has no centre of control and allows power to flow from the bottom up and even from the margins, rather than always from above. During the past few years, policymakers have directed their attention towards the top layers of the ‘Internet stack’, those where the effect on democracy is more easily observable. Little attention has been paid to the infrastructure of the Internet—the part that is invisible to users yet constitutes the essence of what the Internet is really about. This paper seeks to alert democratic stakeholders to often ignored aspects of the digital threats to democracy, and to highlight the key weak spots of the Internet as an infrastructure upon which democracy itself partly rests.
ANALISIS PENERAPAN MANAJEMEN BUNDLE CARE HAIs SURGICAL SITE INFECTION DI RUMAH SAKIT ISLAM SITI RAHMAH KOTA PADANG TAHUN 2021
Authors: Suherlin Nicen , Setiarini Sari , Amran Ikhsan
Published: May 2023

Hospital Acquired Infections (HAIs) merupakan infeksi yang didapatkan pasien selama menjalani prosedur perawatan dan tindakan medis di fasilitas pelayanan kesehatan dalam rentang waktu ≥ 48 jam sampai dengan ≤30 hari dan infeksi diamati setelah pasien keluar dari fasilitas pelayanan kesehatan. Salah satu HAIs yang sering terjadi adalah Surgical Site Infection (SSI) sehingga diperlukan adanya surveilans.(Putri, 2016). Kejadian SSI sangat berkaitan dengan pasien, tipe prosedur operasi, dan lingkungan ruang operasi: diabetes, obesitas, merokok, kolonisasi mikroorganisme, lama inap sebelum operasi, mandi aseptik sebelum operasi, pencukuran pra operasi, durasi operasi, pemberian profilaksis, teknik pembedahan, dan kontaminasi dari tim medis yang berasal dari pakaian atau sarung tangan operasi. SSI menjadi masalah yang cukup rumit bagi para ahli bedah. Hal ini dikarenakan walaupun ada kemajuan antibiotik pofilaksis, anastesi yang baik, peralatan yang canggih dan perbaikan teknik kewaspadaan pasca operasi akan tetapi SSI masih saja sering terjadi. Selain itu pada tahap lebih lanjut SSI berdampak pada morbiditas, mortalitas, dan peningkatan biaya perawatan di rumah sakit (CDC, 2016). Pencegahan terhadap tingginya angka infeksi daerah operasi (SSI) dapat dilakukan pencegahan melalui manajemen bundle care SSI. Berdasarkan laporan dari IPCN bahwa angka IDO dibulan Desember 2020 0,46%, masih dibawah target yaitu 2%.

Penelitian ini bertujuan untuk melihat penerapan manajemen bundle care di RSI Siti Rahmah melalui form Surveilans SSI pada pasien operasi. Penelitian ini merupakan penelitian deskriptif dengan desain studi cross sectional dengan total sampling pada semua pasien operasi diRSI Siti Rahmah yang diambil secara total sampling pada Bulan April- Juli 2021. Pengumpulan data primer menggunakan teknik wawancara, sedangkan data sekunder menggunakan studi dokumen hasil rekapitulasi komite Program Pencegahan dan Pengendalian Infeksi dan bundle prevention SSI. Analisis data dilakukan secara analisis deskriptif dan disajikan dalam bentuk grafik disertai narasi. Luaran yang direncanakan adalah Pubikasi di jurnal nasional terakreditasi. TKT dalam penelitian ini adalah 3 dengan pembuktian penerapan pelaksanaan majemen bundle care SSI dan menganalisa kelengkapan surveilans dengan angka kejadian Infeksi Daerah Operasi (SSI).

Kata Kunci: 1; Bundle Care HAIs 2.Surgical Site Infections 3; Surveilans
HUBUNGAN PEMANFAATAN INTERNET SEBAGAI MEDIA PEMBELAJARAN DENGAN PRESTASI BELAJAR MAHASISWA/MAHASISWI ANGKATAN 2019 FAKULTAS KEDOKTERAN UNIVERSITAS BATAM TAHUN 2022
Authors: Susanti Rini , Rusdani Rusdani
Published: May 2023

Banyak faktor yang mempengaruhi kualitas pendidikan, salah satunya adalah pemanfaatan internet. Pemanfaatan internet sebagai media pendidikan dapat menjadi solusi dalam mengatasi masalah yang umum terjadi dan untuk menggali informasi yang berupa pengetahuan sehingga memicu sekaligus dapat meningkatkan motivasi dalam proses pembelajaran untuk meningkatkan prestasi belajar. Dilihat dari segi finansial, internet tergolong akses yang murah dan cepat serta ketersedian informasi yang lebih up-to-date telah mendorong tumbuhnya motivasi untuk membaca dan mengikuti perkembangan ilmu pengetahuan. Metode penelitian ini adalah deskriptif analitik dengan pendekatan Cross sectional yang dilakukan di Universitas Batam. Teknik pengambilan sampel ini berdasarkan tabel Isaac dan Michael dengan sampel berjumlah 110 orang. Hasil penelitian ini dianalisis dengan distribusi frekuensi ditabulasi silang kemudian di uji dengan uji Chi-square. Dari 110 mahasiswa menunjukkan bahwa responden yang pemanfaatan internet nya jarang dengan nilai IPK kurang sebanyak 6 responden (25%) dan responden yang pemanfaatan internet nya jarang dengan nilai IPK baik sebanyak 18 responden (75%). Sedangkan responden yang pemanfaatan internet nya sering dengan nilai IPK kurang sebanyak 2 responden (2,3%) dan responden yang pemanfaatan internet nya sering dengan nilai IPK baik sebanyak 84 responden (97,7%). Berdasarkan uji statistik diketahui bahwa terdapat hubungan antara hubungan pemanfaatan internet sebagai media pembelajaran dengan prestasi belajar mahasiswa/mahasiswi angkatan 2019 Fakultas Kedokteran Universitas Batam tahun 2022 dengan nilai p 0,001. Berdasarkan hasil penelitian ini dapat disimpulkan bahwa ada hubungan yang signifikan antara hubungan pemanfaatan internet sebagai media pembelajaran dengan prestasi belajar mahasiswa/mahasiswi angkatan 2019 Fakultas Kedokteran Universitas Batam tahun 2022.

Kata Kunci :Pemanfaatan Internet, Prestasi Belajar
ANALISIS HUBUNGAN PENGETAHUAN DAN SIKAP DENGAN KEJADIAN DEMAM BERDARAH DENGUE (DBD) PADA ANAK DI PUSKESMAS ANDALAS KOTA PADANG
Authors: Tisnawati Tisnawati , Pangesti Nindika Ario , Ilda Zolla Amely
Published: May 2023

Demam Berdarah Dengue pada anak dapat menyebabkan permasalahan kesehatan yang serius seperti syock hipovolemik, kejang, dan penurunan kesadaran yang berujung kematian. Kejadian DBD di Provinsi Sumatera Barat tahun 2018 -2020 menduduki peringkat ke 3 se-Indonesia dengan kasus DBD terbanyak (5.583 kasus). Data Dinas Kesehatan Kota Padang tahun 2020 dari 23 Puskesmas di kota Padang, penyakit DBD tertinggi terdapat di Puskesmas Andalas dengan 64 kasus. Tujuan penelitian untuk Mengetahui hubungan pengetahuan dan sikap dengan kejadian DBD pada anak di Wilayah Kerja Puskesmas Andalas Kota Padang. Desain penelitian cross-sectional, waktu penelitian bulan Januari sampai Juni 2022. Populasi penelitian semua orang tua yang membawa anaknya berobat ke poli KIA Puskesmas Andalas. Sampel penelitian sebanyak 55 responden pengambilan sampel dengan teknik accidental sampling. Pengumpulan data menggunakan angket, pengolahan dengan editing, coding, entry, cleaning, tabulating. Analisa dengan uji Chi-square (CI 95%). Hasil penelitian ada hubungan pengetahuan p-value (0.018), dan sikap p-value (0.011) dengan kejadian DBD. Diharapkan kerja sama kesinambungan berupa pelaksanaan kegiatan promosi kesehatan berlanjut tentang upaya pencegahan DBD pada anak.

Keywords: Pengetahuan, Sikap, Demam Berdarah Dengue (DBD
OPTIMIZATION OF INTELLIGENT TELECOMMUNICATION NETWORKS
Authors: VASYLKIVSKYI Mikola , PRYKMETA Andrii , OLIYNYK Andrii , NIKITOVYCH Diana ,   Vinnytsia National Technical University
Published: May 2023

The paper presents the results of research on the use of machine learning in telecommunication networks and describes the basics of the theory of artificial intelligence. The impact of dynamic Bayesian network (DBN) and DNN on the development of many technologies, including user activity detection, channel estimation, and mobility tracking, is determined. The indicators of the effectiveness of communications based on the theory of information bottlenecks, which is at the junction of machine learning and forecasting, statistics and information theory, are considered. A neural network model that is pretrained for high-level tasks and divided into transmitter-side and receiver-side uses is investigated. The process of learning the model, which is performed after its adjustment, taking ino account the existing transmission channels, is considered. New ANN learning techniques capable of predicting or adapting to sudden changes in a wireless network, such as federated learning and multiagent reinforcement learning (MARL), are reviewed. The DBN model, which describes a system that dynamically changes or develops over time, is studied. The considered model provides constant monitoring of work and updating of the system and prediction of its behavior. Distributed forecasting of channel states and user locations as a key component in the development of reliable wireless communication systems is studied. The possibility of increasing the number of degrees of freedom of the generalized wireless channel G(E) in terms of: the physical propagation channel, the directional diagram of the antenna array and mutual influence, electromagnetic physical characteristics is substantiated. The impact of ultra-highresolution theory on the development of many technologies, including localization algorithms, compressed sampling, and wireless imaging algorithms, is also identified. Mathematical expressions for optimizing the functional characteristics of 5G/6G radio networks are presented using new, sufficiently formal and at the same time universal mathematical tools with an emphasis on deep learning technologies, which allow systematic, reliable and interpretable analysis of large random networks and a wide range of their network models and practical networks.
BUILDING PREDICTIVE ELECTRICITY CONSUMPTION MODELS FOR TRADITIONAL AND SMART GRID POWER SUPPLY SCHEMES FOR IRON ORE MINES
Authors:   Kryvyi Roh National University, VLASYUK Valentyn
Published: May 2023

The paper studies the peculiarities of building predictive models of electricity consumption according to the traditional and considered schemes built on the concept of Smart Grid, as well as the rapidity of changes in the mode of electricity consumption, chaotic вЂ“ avalanche-like and forms a corresponding series of problematic issues. Need to be solved today: first of all вЂ“ systematization of electricity consumption volumes at the iron ore mine. This problem is relevant not only in terms of reducing the irregularity in the amount of electricity consumed by the iron ore mine, but also will increase the efficiency of energy consumption, which in turn will increase the volume of products (iron ore raw materials). Predictability of electricity consumption models is carried out by isolating these relationships between these variables by statistical вЂ“ mathematical method of multiple correlation, as the predicted model of electricity consumption is influenced by a large number of factors. The basis for the construction of predictive consumption models for traditional power supply schemes and their subsequent transformation are вЂњsmart technologiesвЂќ of power industry development. The introduction of вЂњsmart technologiesвЂќ including Smart Grid will allow to stabilize and predict the schedules for the volume of consumed electricity of iron ore mine, in contrast to the traditional schemes of its power supply. The purpose of this work is to investigate the issues of construction of mathematical predictive models of electricity consumption developed for traditional and built according to the concept of Smart Grid power supply schemes and contributing to increase the volume of production (iron ore raw materials) and reduce the cost of their production to compete in quality and price. with foreign producers of raw materials of Ukrainian iron ore mines
APPROACH FOR CODE ANALYSIS TO ESTIMATE POWER CONSUMPTION OF CUDA CORE
Authors: HURMAN Ivan , BOBROVNIKOVA Kira , BEDRATYUK Leonid , BEDRATYUK Hanna ,   Khmelnytskyi National University
Published: May 2023

The graphics processing unit is a popular computing device for achieving exascale performance in high-performance computing programs, which is used not only in graphics tasks, but also in computational tasks such as machine learning, scientific computing, and cryptography. With the help of a graphics processor, you can achieve significant speed and performance compared to the central processing unit. CUDA, Compute Unified Device Architecture, a graphics processing unit software development platform, allows developers to use the high-performance computing capabilities of graphics processing units to solve problems traditionally handled by central processing units. Even though the graphics processing unit has a relatively high power to performance ratio, it consumes a significant amount of power during computing. The paper proposes an approach for code analysis to estimate power consumption of CUDA core to improve the power efficiency of applications focused on computing on graphics processing units. The proposed approach makes it possible to estimate the power consumption of such applications without the need to run them on physical devices. The proposed approach is based on static analysis of the CUDA program and machine learning methods. To evaluate the effectiveness of the proposed approach, three graphics processing unit architectures were used: NVIDIA PASCAL, NVIDIA TURING, and NVIDIA AMPERE. The results of the experiments showed that for the NVIDIA AMPERE architecture, the proposed approach using decision trees makes it possible to achieve a determination coefficient of 0.9173. The results obtained confirm the effectiveness of the proposed code analysis method for estimating the power consumption of the CUDA core. This method can be useful for CUDA developers who want to improve the efficiency and power efficiency of their programs.
USE OF ONTOLOGY IN INFORMATION SYSTEM TO ASSIST IN THE FORMATION OF AN INDIVIDUAL EDUCATIONAL TRAJECTORY OF STUDENTS
Authors: DUBAS Yurii , KUNANETS Nataliia ,   Lviv Polytechnic National University
Published: May 2023

This work examines the problem of individual educational trajectory in Ukraine. During research, it was found that this issue is considered mainly from a theoretical aspect, which results in the lack of effective and convenient tools for practical implementations to solve the problem. The analysis of existing methods and means of solving the problem has been carried out. The results of the analysis indicate that the implemented information systems partially satisfy the needs of students in the formation of an individual trajectory. Objective. Develop an information system model to help in the formation of an individual educational trajectory for students of higher educational institutions, taking into account the needs of leading IT companies and studentsвЂ™ inclinations. Aiding students in the formation of an IET is based on a set of recommendations formed based on student preferences. Method. To solve the problem information system model was developed, which uses two main modules to operate. First module allows its user to pass a career guidance test and second module provide the semantic algorithm to determine disciplines best suited for user based on his professional inclinations. LevensteinвЂ™s algorithm using ontology was chosen as a semantic algorithm. Results. During research information system was developed which allows students to receive recommendation for formation of individual educational trajectory. Conducted experiments with random input data had shown the system is fully functional and performing its task. All operational aspects of the system are presented in this work using UML diagrams. Conclusions. Forming recommendations for an individual educational trajectory is a complex process that requires a significant amount of resources. The use of information technologies allows to simplify this process, and the development of an information system вЂ“ to automate it and make it accessible. The implementation of the information system model made it possible to understand all the subtleties of the process of forming recommendations and ensure their accuracy. The operation of the information system was ensured by the use of two modules to determine the userвЂ™s professional orientation and search for the appropriate discipline. The process of finding a discipline that will match the professional inclination of the user is based on work with semantics, for which the ontology was used. The use of ontology in the process of determining semantic proximity using the Levenshtein algorithm made it possible to obtain semantic units that are as close as possible to the studentвЂ™s professional inclinations and ensure the most accurate result when formulating recommendations.
DEVELOPMENT OF THE COMPOSITION OF THE MEDICAL AND PREVENTIVE TOOTHPASTE WITH EXTRACT OF SAGE, JUNIPER AND CHAMOMILE
Authors: YEFIMOVA VERONIKA , LUTSENKO TETYANA ,   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Published: May 2023

Currently, the trend in the cosmetics industry is to produce natural, ecological products with the preservation of the most complete set of components of the raw materials. The work is devoted to the development of the composition of therapeutic and preventive toothpaste with СО2 extracts of sage, chamomile and juniper. The extracts included in the toothpaste formulation were obtained using supercritical carbon dioxide extraction. In order to choose the optimal conditions for the extraction, we found out the influence of the technological modes of the process on the composition of the extracts. For this purpose, at the first stage, a series of studies on the dependence of the quantitative yield of extracts on pressure was carried out. On the basis of experimental data, the optimal conditions for supercritical fluid extraction were determined. At the second stage of the research, the influence of temperature on the composition of supercritical fluid extracts of sage was studied, which made it possible to determine the temperature parameter of the process. The optimal ratio of extracts in the composition of therapeutic-prophylactic toothpaste has been established. The next stage of research was the selection of the base of the toothpaste, namely an abrasive component that combines a high cleaning capacity with a low abrasion capacity and a thickener (Blanose 7M3 IF). To determine the composition of the toothpaste base, the rheological characteristics of seven formulations of the base, which was obtained from an abrasive component, a thickener, and glycerin, were determined. The toothpaste system is an emulsion-suspension, which during storage can excessively thicken or delaminate, therefore, in order to predict the stability of the rheological properties of the paste, we conducted experiments on the storage of the toothpaste base at a temperature of 25°C for 1.5 months. The work shows that the base of the toothpaste acquires indicators of constant viscosity on the 13-14th day from the moment of release. As a result of the work carried out, a formulation of toothpaste for therapeutic and preventive purposes was developed. In order to confirm the quality of the finished cosmetic product, we examined it according to physic-chemical indicators, namely, appearance, color, smell, taste and hydrogen index (pH).