bluuebunny/crossref_metadata_2025 huggingface dataset:
Aplikasi Identifikasi Pola Pembelian Konsumen Menggunakan Algoritma Apriori pada Sukoco Batik Solo
Authors: Widyaningsih Pipin
Published: March 2022

Sukoco Batik Solo adalah salah satu toko yang menawarkan beragam jenis batik. Sukoco Batik Solo harus mengembangkan strategi pemasaran untuk mengotimalkan penjualan. Salah satu strategi yang dapat digunakan adalah mengidentifikasi pola kecenderungan pembelian konsumen dengan memanfaatkan nota penjualan produk. Algoritma apriori diterapkan untuk menganalisis kumpulan nota penjualan untuk menemukan kombinasi produk yang dibeli dalam satu waktu. Aplikasi dibuat menggunakan framework code igniter dengan bahasa pemrograman PHP dan database MySQL. Hasil penelitian menunjukkan aplikasi dapat membantu menghasilkan informasi pola pembelian konsumen. Data transaksi dianalisis menggunakan algoritma apriori dengan nilai minimum support 40% dan nilai minimum confidence 60%. Hasil yang diperoleh dari proses algoritma apriori terdapat satu aturan asosiasi dengan dua kombinasi itemset produk yaitu Batik Lawasan 1 dan Batik Lawasan 2. Aturan asosiasi Batik Lawasan 1 dan Batik Lawasan 2 memiliki nilai minimum support 40% dan nilai minimum confidence 66,67%. Hasil analisis pola pembelian konsumen dapat digunakan pihak manajemen dalam menempatkan produk, prioritas persediaan produk, dan merancang strategi potongan harga untuk kombinasi item produk yang terbentuk.
DETEKSI SERANGAN DDoS MENGGUNAKAN Q-LEARNING
Authors: Lestari Wulan Sri
Published: March 2022

Distributed Denial of Service Attack (DDoS) adalah serangan dengan mengkompilasi beberapa sistem di internet dengan zombie/agen yang terinfeksi dan membentuk jaringan botnet. Serangan DDoS mengakibatkan kerugian finansial, hilangnya produktivitas, kerusakan merek, penurunan peringkat kredit dan asuransi serta terganggunya hubungan pelanggan, dan pemasok. Selain itu, teknologi IoT juga rentan terhadap serangan DDoS berskala besar. Untuk mencegah terjadinya serangan DDoS maka dibutuhkan model yang dapat mendeteksi adanya serangan DDoS. Pada penelitian ini, kami mengusulkan Deep Q-Network (DQN) untuk mendeteksi serangan DDoS. DQN merupakan algoritme reinforcement learning yang menggabungkan deep learning dan q-learning. Penerapan DQN digunakan untuk meningkatkan akurasi deteksi serangan pada dataset. Pada penelitian ini, dataset yang digunakan untuk mendeteksi adanya serangan DDoS atau tidak adalah CICDDoS2019 dataset yang disediakan oleh Canadian Institute for Cybersecurity. Berdasarkan perbandingan metode yang dilakukan didapatkan hasil metode DQN yang diusulkan dapat mendeteksi 11 serangan DDoS dan benign/normal data dengan nilai akurasi yang lebih baik dibandingan metode LR dan SVR. Hasil penelitian menunjukkan model yang diusulkan memiliki nilai akurasi 96% dan lebih baik dibandingkan metode LR dan SVR.
Penerapan ASP.NET Dalam Membangun System Inventory Dengan Menggunakan Metode Prototype
Authors: Athallah Daffa
Published: March 2022

Perkembangan dunia usaha di era kemajuan teknologi berubah sangat pesat, hal ini membawa dampak dan pengaruh yang besar bagi perusahaan. Berbagai dampak ini merupakan tantangan bagi perusahaan jasa dan barang. Jika perusahaan tidak kompetitif, hanya masalah waktu sebelum perusahaan bangkrut. Salah satu dampak dan pengaruhnya adalah penerapan komputerisasi pada setiap sistem di dalam perusahaan. Persediaan merupakan bagian yang sangat sentral dari aset perusahaan. Sistem ini dikembangkan menggunakan ASP.NET dan menggunakan database MySQL. Metode prototipe digunakan sebagai metode pengembangan. Sedangkan metode pengujian menggunakan black-box didasarkan pada entri data pada setiap halaman dalam sistem persediaan. sasaran dari penelitian ini adalah mengimplementasikan system data persediaan barang berbasis web untuk mempermudah dan menghemat waktu dalam proses pengumpulan laporan persediaan barang. System web ini juga akan mempermudah pekerjaan para staf.
SAM: Self-augmentation mechanism for COVID-19 detection using X-ray Images
Authors: Muhammad Usman , Hoque Md Ziaul , Oussalah Mourad , Keskinarkaus Anja , Seppänen Tapio , Sarder Pinaki
Published: March 2022

COVID-19 is a
rapidly spreading viral disease and has affected over 100 countries worldwide.
The numbers of casualties and cases of infection have escalated particularly in
countries with weakened healthcare systems. Recently, reverse
transcription-polymerase chain reaction (RT-PCR) is the test of choice for
diagnosing COVID-19. However, current evidence suggests that COVID-19 infected
patients are mostly stimulated from a lung infection after coming in contact
with this virus. Therefore, chest X-ray (i.e., radiography) and chest CT can be
a surrogate in some countries where PCR is not readily available. This has
forced the scientific community to detect COVID-19 infection from X-ray images
and recently proposed machine learning methods offer great promise for fast and
accurate detection. Deep learning with convolutional neural networks (CNNs) has
been successfully applied to radiological imaging for improving the accuracy of
diagnosis. However, the performance remains limited due to the lack of
representative X-ray images available in public benchmark datasets. To
alleviate this issue, we propose a self-augmentation mechanism for data
augmentation in the feature space rather than in the data space using
reconstruction independent component analysis (RICA). Specifically, a unified
architecture is proposed which contains a deep convolutional neural network
(CNN), a feature augmentation mechanism, and a bidirectional LSTM (BiLSTM). The
CNN provides the high-level features extracted at the pooling layer where the augmentation
mechanism chooses the most relevant features and generates low-dimensional
augmented features. Finally, BiLSTM is used to classify the processed
sequential information. We conducted experiments on three publicly available
databases to show that the proposed approach achieves the state-of-the-art
results with accuracy of 97%, 84% and 98%. Explainability analysis has been
carried out using feature visualization through PCA projection and t-SNE plots.
The Reality of High Performing Deep Learning Models: A Case Study on Document Image Classification
Authors: Saifullah Saifullah , Agne Stefan , Dengel Andreas , Ahmed Sheraz
Published: March 2022

This paper presents an approach to interpret the predictions of deep learning models in the domain of document image classification.
Survey on Fully Homomorphic Encryption, Theory and Applications
Authors: Marcolla Chiara , Sucasas Victor , Manzano Marc , Bassoli Riccardo , Fitzek Frank H.P. , Aaraj Najwa
Published: March 2022

This paper comprehensively addresses homomorphic encryption from both theoretical and practical perspectives. The paper delves into the mathematical foundations required to understand fully homomorphic encryption FHE. It consequently covers design fundamentals and security properties of FHE, and describes the main FHE schemes based on various mathematical problems. On a more practical level, the paper presents a view on privacy-preserving Machine Learning using homomorphic encryption, then surveys FHE at length from an engineering angle, covering the potential application of FHE in fog computing, and cloud computing services. It also provides a comprehensive analysis of existing state-of-the-art FHE libraries and tools, implemented in software and hardware, and the performance thereof.
A Cryptographic Iterative Hash Function Scheme for Wireless Sensor Network (WSNs) Security Enhancement for Sensor Data Transmission in Blockchain
Authors: Rajhi Mohammed , Hakami Ahmed
Published: March 2022

The study will shed light on the proposed system of WSN security for the sensor data transmission using the blockchain. The system will be presented according to the research and practical implications of the blockchain systems. The paper proposes a method for enhancing the data security of wireless sensor networks based on blockchain technology which makes the transfer data of the system challenging to be tamped. The aimed system utilizes a hash value representation calculated by the Merkel-tree algorithm. We offer a particular method of constructing a hash function from a compression function. This construction has the property that the resulting hash function satisfies desirable security properties, such as collision resistance, given that the compression function does. Moreover, the proposed system will implement the most secure algorithms that help to ensure better security for the WSN systems to transmit data.
Math Model of Rotating Grating---CW/CCW Rotation Angle-Dependence
Authors: peng hui
Published: March 2022

The phenomena of the rotating grating have been studied and have the varieties application. In this article, we show in detail how to break the diffraction pattern of a rotating grating into three portions corresponding to different diffraction orders “m”, and each portion is described by an equation.

Grating

CCW rotation

CW rotation
Securing the Internet of Things with Object-Process Methodology Stereotypes
Authors: Kohen Hanan , Dori Dov
Published: March 2022

The
Internet of Things (IoT) is creating a network of cyber-physical devices –
sensors, actuators, and other devices, which monitor and control physical
systems, such as manufacturing facilities operating with the Industry 4.0
paradigm, while collecting and sharing massive data globally over the internet.
As the IoT security landscape evolves, so does the “cyber mafia,” which targets
cyber-physical systems from the corporate level all the way to Industry 4.0 floor-shop
control systems, in which IoT is a key component. IoT devices are becoming
ubiquitous and controllable from hand-held devices, raising the potential to
disrupt or destroy large industrial complexes in a touch of a screen if not
protected properly. This growing risk mandates the adoption of new approaches
to incorporating rigorous security standards into IoT systems as early as
possible in their system lifecycle. A methodology is presented for incorporating
into IoT systems security as a bona fide, quantifiable attribute that is built into
the components (objects) and operations (processes). To this end, the synergy
of combining model-based systems engineering with embedded IoT system security
is leveraged. At the heart of the methodology is a combined
qualitative-quantitative IoT OPM model of the system with security scores,
which provides for evaluating underlying system configurations, each with its
level of security and possibly other optimization criteria. This approach
enables balancing IoT systems’ metrics, such as performance and cost, with security,
and even optimizing the system under specified constraints.
Temporal interfaces by instantaneously varying boundary conditions
Authors: Stefanini Luca , Yin Shixiong , Ramaccia Davide , Alù Andrea , Toscano Alessandro , Bilotti Filiberto
Published: March 2022

Temporal metamaterials have been recently exploited as a novel platform
for conceiving several electromagnetic and optical devices based on the
anomalous scattering response arising at a single or multiple sudden changes of
the material properties. However, they are difficult to implement in realistic
scenarios by switching the permittivity of a material in time, and new
strategies to achieve time interfaces in a feasible manner must be identified.
In this paper, we investigate the possibility to realize a temporal
metamaterial without acting on the material properties, but rather on the
effective refractive index and wave impedance perceived by the wave during the
propagation in an empty guiding structure by varying the boundaries in time. We
demonstrate analytically and through numerical experiments that suddenly changing
the physical distance between the metallic plates of a parallel-plate waveguide
will induce an effective temporal interface. In addition to the standard
backward and forward scattered fields at different frequencies due to the
temporal interface, we also identify the presence of a static field necessary to
satisfy the continuity of the electromagnetic field across the interface. The
proposed concept can be extended to temporally controlled metasurfaces, opening
an easier path to the design and realization of novel devices based on
time-varying metamaterials at microwave and optical frequencies.
SIP-UNet: Sequential Inputs Parallel UNet Architecture for segmentation of Brain Tissues from Magnetic Resonance Images
Authors: Prajapati Rukesh
Published: March 2022

Our work introduces a novel architecture for extracting information from neighboring slices in the image segmentation. The Proposed architecture consists of parallel UNets for each slice/image. These UNets are fused using Residual Network for late fusion. We passed features from central slice only in the residual network so that the features from the image to be segmented will not be lost. We performed segmentation using this architecture on the brain Magnetic Resonance Images (MRI). The processed data is obtained from the Open Access Series of Imaging Studies (OASIS) dataset. Data of each subject is in 3D. We extracted 2D slices/images from each subject and train/test for each view (axial, coronal, sagittal). As the 3D data has neighboring slices, that are similar to each other, we hypothesize and considered before and after slices as neighboring slice for segmentation of central slice.
A Novel Dynamic Window Function for a Memristor Model
Authors: YR Ananda
Published: March 2022

A new window function is proposed to enhance the nonlinearity for memristor model.
Intra-RAN Online Distributed Reinforcement Learning For Uplink Power Control in 5G Cellular Networks
Authors: Butt Majid , Song Jian , Steiner Jens , Pedersen Klaus , Kovacs Istvan
Published: March 2022

Uplink power control plays a significant role in maintaining a good signal quality at the serving cell while minimizing interference to neighboring cells, thus maximizing the system performance. Traditionally, a single value open-loop power control (OLPC) parameter, P0, is configured for all the user equipments (UEs) in a cell, and often same setting is used for similar cells. Recent studies have demonstrated that optimal P0 depends on many factors, which yields a complex multidimensional optimization problem and there are no efficient approaches known to solve it under practical system-level settings. In this paper, we propose a solution based on reinforcement learning (RL) where each BS autonomously adjusts its P0 setting to maximize its throughput performance. As compared to conventional sub-optimal approach, our solution encompasses a smart clustering of UEs, where each cluster specifies its own P0. The proposed solution is evaluated by extensive system level simulations, where our results demonstrate a potential performance enhancement as compared to the baseline proposals.
One-Bit Phase Retrieval: More Samples Means Less Complexity?
Authors: Eamaz Arian , Yeganegi Farhang , Soltanalian Mojtaba
Published: March 2022

The classical problem of phase retrieval has found a wide array of applications in optics, imaging
and signal processing. In this paper, we consider the phase retrieval problem in a one-bit setting, where
the signals are sampled using one-bit analog-to-digital converters (ADCs). A significant advantage of
deploying one-bit ADCs in signal processing systems is their superior sampling rates as compared to
their high-resolution counterparts. This leads to an enormous amount of one-bit samples gathered at the
output of the ADC in a short period of time. We demonstrate that this advantage pays extraordinary
dividends when it comes to convex phase retrieval formulations—namely that the often encountered
matrix semi-definiteness constraints as well as rank constraints (that are computationally prohibitive to
enforce), become redundant for phase retrieval in the face of a growing sample size. Several numerical
results are presented to illustrate the effectiveness of the proposed methodologies
The Influence of ROE, Intelectual Capital, Leverage, ROA, Liquidity, Dividend Policy on Financial Performance in the Food and Beverage Sub Sector Manufacturing Companies on IDX For The 2018 – 2020 Period
Authors: Wulandari Bayu , Adriana br Bukit Vince Titania , Manik Delma Oriza , Napitupulu Christina H. Grace , Tambunan Elprida
Published: March 2022

This study aims to examine whether ROE, intellectual capital, leverage, ROA, liquidity, dividend policy have an effect on financial performance. This research was conducted on food and beverage sub-sector manufacturing companies for the period 2018–2020 with a research population of 26 (twenty six) companies listed on the Indonesia Stock Exchange. The sampling technique used here is a saturated sampling technique, namely the technique of determining the sample and then obtaining a sample of 23 (twenty three) companies. The data used are the financial statements of each sample company published through www.Idx.co.id. The research method used is descriptive method and multiple linear regression analysis method. The dependent variable is dividend policy, while the independent variable is ROE, intellectual capital, leverage, ROA, liquidity, dividend policy. The results show that partially ROE, Intellectual Capital, Leverage, ROA, Liquidity and Dividend Policy have a significant effect on the financial performance of the food and beverage subsector manufacturing companies listed on the Indonesia Stock Exchange (IDX 2018-2020).
Application Of Snakes and Ladders Media Assisted By Number Cards to Improve Student Activity and Learning Outcomes In Class II Mathematics Subjects
Authors: Rivai Irfan , Khaq Muflikhul , Anjarini Titi
Published: March 2022

This study focuses on the use of snakes and ladders media with the help of number cards in learning mathematics for addition and subtraction. This study aims to improve activity and learning outcomes in the addition and subtraction material for Class II Girijoyo State Elementary School. The research method uses classroom action research (CAR). The subjects of this research were 10 students of Class II Girijoyo State Elementary School. The results of the pre-cycle research showed that the percentage was 66.5%, the first cycle increased to 76.5%, and the second cycle increased to 84%. This can be interpreted, that through the observation of the activeness of the second grade students, the success indicator has reached 90% and is categorized as active. In addition to the results of observations, the tests that have been carried out have also increased, from the percentage in the pretest 30% of students who completed the KKM, in the posttest 1 in the first cycle, the percentage increased to 50% of the students who completed the KKM. In posttest 2 in cycle II the percentage of students' completeness rose to 90%. Thus the achievement of the resulting competence with a percentage of 90% of students categorized as complete, exceeding the indicator of success with the achievement of class competence reaching more than 75%.
PELATIHAN PEMBUATAN POC (PUPUK ORGANIK CAIR) DENGAN MENGGUNAKAN URINE KELINCI
Authors: Mutiara Juli , Berutu Karina M. , Kejora Emmy , Berliana Yunida , Kurniawan Dedi , Nadhira Ahmad , Razali Razali , Wahyudi Erfan , Hasanah Uswatun
Published: March 2022

kebutuhan kompos, pupuk kandang serta pestisida bertambah seiiring semakin luasnya area pengembangan pertanian. Harga pupuk kimia yang melambung tinggi saat ini menyengsarakan pihak petani. Banyak petani yang tidak mampu  menanggung biaya bahan pupuk ini. Salah satu solusi yang dapat ditawarkan adalah pembuatan pupuk organik, yang bahannya mudah diperoleh, bahkan dibuang oleh orang-orang. Salah satunya adalah urine kelinci, banyaknya perternak kelinci di daerah ini membuat bahan baku urine kelinci mudah didapat. Pelatihan pembuatan Pupuk Organik Cair (POC) dilaksanakan di kelurahan tanah seribu kecamatan Binjai dengan mitra Kelompok Tani Serba Jaya. Urine kelinci yang sudah diolah menjadi pupuk alami dan pestisida alami tidak hanya membantu untuk pengembangan tanaman dan membangun kembali kematangan tanah, namun juga untuk mengurangi biaya yang harus dikeluarkan petani untuk menyuburkan tanah.
Development of microbial consortium for degradation of organic kitchen waste
Authors: Jamir Lemnaro , Singhal Paavan , Goyal Soniya , Khajuria Robinka , Rakhra Gurseen , Aochen Chubasenla , Gupta Mahiti
Published: March 2022

Increasing population and urbanization has led to an exponential increase in organic waste. This waste if not treated properly may lead to pollution and health hazards. So, a study was conducted to develop an efficient bacterial consortium for the degradation of organic kitchen waste. Different bacterial strains were obtained from MTCC, initially grown on specific media and were screened for their enzymatic activities. Eight bacterial strains viz. Bacillus subtilus (MTCC 441), B. amyloliquefaciens (MTCC 7913), B. megaterium (MTCC 8510), Lactobacillus delbrueckii (MTCC 2365), L. plantarum (MTCC 1407), L. rhamnosus (MTCC 1423), Pseudomonas aeruginosa (MTCC 4673) and Staphylococcus aureus (MTCC 740) were tested for the production of lipase, amylase, protease and cellulase. All the bacterial strains exhibited enzyme activities except B. megaterium. So, combinations of these strains were used to make consortia on basis of pathogenicity. Two different microbial consortiums were prepared with Consortia 1 comprising B. subtilis, L. plantarum, L. rhamnosus, L. delbrueckii, B. amyloliquefaciens and Consortia 2 comprising P. aeruginosa, S. aureus, L. delbrueckii, L. rhamnosus, B. subtilus. Consortium 1 displayed the highest amylase and protease activity as compared to Consortium 2, and therefore selected for monitoring the composting parameters of the organic kitchen wastes. The microbial consortium showed significant outcome for composting parameters such as moisture content (65 – 58 %), temperature (25 – 29 ºC), pH (5.5 – 5.7), organic carbon (41 – 36 %) and decrease in mass (25 %) from 25 to 35 d of composting organic kitchen waste. The C/N ratio was calculated at 38/1 which falls within the optimum composting period. Developing a microbial consortium significantly reduces the degradation time and thereby the composting process. This microbial consortium is environmentally safe and can therefore, be used to effectively improve the management of organic waste at both the community and industrial level.
Is there a role for a learner education handover as part of the Medical Council of Canada assessment and licensing process?
Authors: Nickell Leslie , Kassam Aliya , Bandiera Glen
Published: March 2022

The transition from undergraduate medical education (UGME) to postgraduate medical education (PGME) is a time of vulnerability for medical schools, postgraduate residency programs, and most importantly, trainees
There is a disconnect between the UGME and PGME experience. Student information shared by UGME is primarily summative of knowledge and skills; PGME programs are unaware of specific learner accommodation requirements, tailored supervisory needs, or potential professionalism concerns identified during UGME
This lack of integration between UGME and PGME increases potential risk to learners, postgrad programs and patients
Better linkages and communication along the education continuum could optimize learning and reduce inefficiency and risk
The Medical Council of Canada (MCC) has asked if there is a role for a learner handover (LH) within their licensing processes; however the intended purpose of an LH must first be determined
A Canadian-based LH referred to as a Learner Education Handover (LEH) model including disclosure of student learning/disability accommodation needs, general health concerns, EDI/religious requirements, professionalism concerns, recommendations for special focus in residency of specific areas of medical knowledge/skill is described.
Findings from beta and pilot testing support the value and feasibility of the LEH model
Fundamental principles are outlined:

LEH occurs post-residency match
LEH should be forward facing; focused on ongoing or recurring learner issues and needs
Learners must be included in the process
Implementation would require participation by all Canadian medical schools and all learners

Implementation challenges include:

Ensuring learner safety following information disclosure
Engaging UGME Deans
Protection of information ensuring a ‘need-to-know’ status is maintained

Incorporating the LEH into the licensing activity could enable the MCC to support a system that proactively responds to learner needs, optimizes physician performance and promotes safe, high quality patient care.
On the Origin of River Terraces
Authors: Novák Václav
Published: March 2022

A mathematical study of the long profil of the Vltava Terraces is presented in this article. The existence of two various senses of the term "river terrace" is shown and their relation is illustrated.
The Importance of Communications at the Time of Origin of Prague Castle
Authors: Pokorný Ota
Published: March 2022

As a free continuation of the article published in the Journal of the Czechoslovak Geographical Society, 90, 3 (1985) and on the basis of results of archeological and engineering-geological investigations, the author describes the network of communications in the Prague Basin at the time of origin of the Prague Castle. He presents the hypothesis that the name Praha (Praga), denoting some places in the Prague Basin in the oldest documents dating from before 1235 has not been derived from the name of the Prague Castle, but is the original name of these places. Nine such localities called Praha (Praga in Latin) are mentioned by the author in the Prague Basin as places of geomorphological and communication importance.
Long-lasting Development of Agricultural Land Economy in CSR
Authors: Stehlík Jiří
Published: March 2022

Agricultural and arable and is considered the most important riches in CSR. Although in a world-wide comparison it has only a poor quality, the extent of the arable area is large enough to be self-sufficient in the supply of foodstaffs (with the aid of the import trade) besides other agricultural raw materials. The paper illustrates the state of agricultural land in CSR and SSR. Since World War 2nd, the extent of arable areas has been continuously diminishing. In future, on the other hand, it should increase. The paper treats also of the problem of the land quality and its areal reserves.
HEALTH SAFETY CATEGORY IN SAFETY SCIENCES
Authors: KUCZABSKI Mateusz
Published: March 2022

Artykuł poświęcono zbadaniu miejsca i istotności bezpieczeństwa zdrowotnego w naukach o bezpieczeństwie w oparciu o analizę literatury wielu dziedzin i dyscyplin naukowych. Problem bezpieczeństwa zdrowotnego chociaż przewijający się od czasów zmiany systemowej w dyskursie publicznym i badaniach naukowych, który nadal pozostaje bardzo aktualny, rzadko poddawany jest badaniu z perspektywy jego wpływu na bezpieczeństwo państwa, a jeśli już to w wybranym zakresie tworzenia rezerw strategicznych w kontekście przygotowań obronnych systemu zdrowotnego. Szerszy kontekst wpływu bezpieczeństwa zdrowotnego na bezpieczeństwo państwa nie jest należycie wyeksponowany, identyfikuje się obszary niewiedzy w tym zakresie. Badania nad miejscem bezpieczeństwa zdrowotnego w naukach o bezpieczeństwie dokonano w ramach szerokiego przeglądu literaturowego pozycji z obszaru wielu dziedzin i dyscyplin: medycyny, zarządzania, nauk o zdrowiu, nauk o bezpieczeństwie, etc. Poszukiwano odpowiedzi na pytanie o ujęcia badawcze bezpieczeństwa zdrowotnego w naukach o bezpieczeństwie. Celem dociekań prezentowanych treści w artykule jest próba dookreślenia miejsca bezpieczeństwa zdrowotnego w naukach o bezpieczeństwie i uwidocznienia problemów, i obszarów badawczych prezentując kontekst strategicznych ujęć i relacji bezpieczeństwa zdrowotnego wobec nauk o bezpieczeństwie, gdy rozważamy bezpieczeństwo państwa. Konteksty bezpieczeństwa zdrowotnego analizowano po dokonaniu przeglądu przyczyn zmian w postrzeganiu problemów bezpieczeństwa – również w oparciu o literaturę. Dla badań bezpieczeństwa zdrowotnego, gdy kontekstem jest bezpieczeństwo narodowe, znaczenie badawcze ma ujmowanie badań w obszarach: zdrowie obywateli i zdrowie narodu, społeczeństwa (kontekst demograficzny), zdrowie jako cel sam w sobie, jako jeden z wymiarów interesu narodowego i wartość pożądana oraz zdrowie jako zasób strategiczny (czynnik narodowego potencjału strategicznego, wzrostu gospodarczego, potencjału społecznego, np. zasoby mobilizacyjne dla wojska, odporność społeczeństwa). Artykuł ma charakter przeglądowy.
Tingkat Pengetahuan Perawat tentang Lima Momen Kebersihan Tangan
Authors: Safir Nurul , Mursal Mursal , Akbar Yudi , Abrar Abrar
Published: March 2022

Hand hygiene is one of the most important steps to prevent infection in health services and the nurses have a big role in preventing infection because they interact with patients for 24 hours. One of the factors that influence the application of the five moments of hand hygiene is the knowledge of nurses. The objective of this research was to determine the level of knowledge of nurses about five moments of hand hygiene. The research design was quantitative using descriptive method. The samples in this research were 35 nurses which were taken through total sampling technique. The measuring instrument was a questionnaire which consisted of 20 questions. The results of the research showed that the respondents who had knowledge of the five moments of hand hygiene in the high category was 16 respondents (45.7%), the range of age of 26-35 years was 16 respondents (45.7%), female sex was 27 respondents (77.1%), Associate degree of Nursing program was 30 respondents (85.7%) with a length of work for 1-5 years was 15 respondents (42.9%). It can be concluded that respondents who have knowledge about five moments of hand hygiene is in the high category. From the results of this research, it is expected that respondents can continue to improve their knowledge and compliance in carrying out the five moments of hand hygiene, especially in the second and fifth moments through training.
Hubungan Pengetahuan dan Sikap Perawat dengan Penerapan Patient Safety pada Masa Pandemi Covid-19 di Ruang IGD RSUD X
Authors: Sindring Yusril , Amir Heriyana , Soleman Sitti Rahma , Akbar Hairil
Published: March 2022

Patient safety is a system that aims to provide care for patients safely as an effort to prevent unwanted events. Written reports of patient safety incidents that occur in Indonesia are categorized by the number of cases based on the result of the incident, KNC 38%, KTC 31% and KTD 31%. The purpose of the study was the relationship between knowledge and attitudes of nurses with the application of patient safety during the COVID-19 pandemic in the emergency room of RSUD X. This type of research used an analytical observational study with a cross sectional approach. The population in this study were all 39 nurses in the emergency room and a total sample of 39 nurses using a total sampling technique. Data analysis using Chi square test. The results of the analysis obtained knowledge (p = 0.007) and attitudes (p = 0.022) related to the application of patient safety during the Covid-19 pandemic in the ER Room of RSUD X. From the explanation above, it is expected that all nurses should implement patient safety when examining patients.
Der Krebs des Autors. : Autopathographie und Autoethnographie als autobiographische Schreibweisen der Krankheit in der Gegenwart
Authors: León-Villagrá Diego
Published: March 2022

Abstract Autopathographie und Autoethnographie werden anhand von Wolfgang Herrndorfs Arbeit und Struktur und Fritz Zorns Mars als primäre und antonyme autobiographische Schreibweisen der Krankheit in der Gegenwart bestimmt. Während die Autopathographie
dabei den individuellen Krankheitsprozess, seine Semiotik und den Topos der Autonomie fokussiert, intendiert die Analyse des Krankheitszustands und seiner Kausalität im Fall der Autoethnographie Rückschlüsse auf allgemeingültige soziokulturelle Leiterfahrungen.Based
on Wolfgang Herrndorf’s Arbeit und Struktur and Fritz Zorn’s Mars, autopathography and autoethnography are identified as primary and antonymous autobiographical modes of writing about illness in contemporary literature. While autopathography focuses on the individual
process of disease, its semiotics, and the topos of autonomy, autoethnography analyzes the state of the disease and its causality, intending conclusions about general sociocultural experiences.
Mean Value Estimation Using Low Size Samples Extracted from Skewed Populations
Authors: Martins João Paulo , Felgueiras Miguel , Santos Rui
Published: March 2022

The use of the T-statistic in statistical inference procedures is usually restricted to normal populations or to large samples. However, these conditions may not be fulfilled in some situations: the population can be moderate/highly skewed, or the sample size can be small. In this work, we use the Pearson’s system of distributions, namely, type IV distributions to model T. By some simulation work, it is shown that this approximation leads to confidence intervals whose coverage is close to the nominal coverage even for low sample sizes.
Kuntoutuminen toimintamahdollisuuksina – Ammattilaisten käsitykset nuorten kuntoutujien toimijuudesta
Authors: Salminen Jarkko , Häikiö Liisa
Published: March 2022

Tässä tutkimuksessa tarkastellaan, mitä nuorten kuntoutujien toimijuuden muodostuminen edellyttää kuntoutuksen ammattilaisten näkökulmasta. Laadullista tutkimusta varten haastateltiin ammattilaisia, kuten psykologeja, sosiaalityöntekijöitä, opettajia ja erityisopettajia, neljässä ryhmähaastattelussa. Haastatteluissa keskityttiin erityisesti mielenterveyden ja käyttäytymisen häiriöiden vuoksi kuntoutukseen osallistuvien nuorten toimijuuteen. Toimintamahdollisuuksien lähestymistapaa soveltamalla tutkimus osoittaa, että nuoret tarvitsevat mahdollisuuksia toimia omaehtoisesti ja tehdä omassa elämässään terveyteen, sosiaalisiin suhteisiin sekä opiskeluun ja ammattiin liittyviä valintoja. Ammattilaisten näkökulmasta toimintamahdollisuuksien muodostuminen mahdollistaa kuntoutumisen ja on kuntoutuksen edellytys. Kuntoutus ei tue toimijuutta, jos se ainoastaan vastuullistaa nuoria tarjoamatta heille aitoja ja omaehtoisia valinnan mahdollisuuksia. Toisin sanoen toimintamahdollisuudet eivät ole vain yksilöstä kiinni vaan kytkeytyvät toimintaympäristöön. Tästä syystä kuntoutukseen suunnattujen resurssien vähyys ja joustamaton organisointi usein vaikeuttavat toimijuuden ja toimintamahdollisuuksien muodostumista. Esteenä ovat esimerkiksi vähäiset resurssit terveydenhuollossa ja ammatillisessa kuntoutuksessa. Toisaalta joustamattomat tavat tarjota terveyspalveluita tai tukea nuorten oppimista ja sosiaalisia suhteita koulussa ovat esteenä toimijuuden muodostumiselle ja siten kuntoutumiselle.

Abstract

Agency of young recoverees from the viewpoint of rehabilitation professionals

In this study, we examine the requisites for agency of young recoverees from the perspective of rehabilitation professionals. For this qualitative study, professionals such as psychologists, social workers, teachers/special educators were interviewed in four group interviews. The interviews focused in particular on the agency of young people in rehabilitation due to mental and behavioral disorders. Applying the capability approach, the article suggests that young people need opportunities to act independently and make choices in their own lives related to health, social relations, education and profession. From the point of view of the professionals, this is a prerequisite for rehabilitation. Rehabilitation does not support agency if it only makes young people responsible without offering them genuine choices in life. In other words, the formation of capabilities does not dependent only on the individual but also on the environment. For this reason, the scarcity of resources for rehabilitation and rigid organization often hinder agency and capabilities. Obstacles include, for example, limited resources in health care and vocational rehabilitation. On the other hand, inflexible ways of providing health care services or supporting young people’s learning and social relations at school stymies the formation of agency, and therefore, rehabilitation.

Keywords: rehabilitation, agency, capabilities, professionals
Tunable superconducting neurons for networks based on radial basis functions
Authors: Schegolev Andrey E , Klenov Nikolay V , Bakurskiy Sergey V , Soloviev Igor I , Kupriyanov Mikhail Yu , Tereshonok Maxim V , Sidorenko Anatoli S
Published: March 2022

The hardware implementation of signal microprocessors based on superconducting technologies seems relevant for a number of niche tasks where performance and energy efficiency are critically important. In this paper, we consider the basic elements for superconducting neural networks on radial basis functions (RBF). We examine the static and dynamic activation functions of the proposed neuron. Special attention is paid to tuning of the activation functions to the Gaussian form with relatively large amplitude. We proposed and investigated heterostructures designed for the implementation of tunable inductors which consist of superconducting, ferromagnetic, and normal layers.
АЛМАТЫ ХАЙУАНАТТАР БАҒЫНДА МЕКЕН ЕТЕТІН АҚБӨКЕНДЕРДІҢ БИОЛОГИЯЛЫҚ ЕРЕКШЕЛІКТЕРІ ЖӘНЕ ОЛАРДЫ КҮТІП БАҒУДАҒЫ МІНЕЗ ҚҰЛҚЫНЫҢ ОРТАҒА БЕЙІМДЕЛУІ
Authors: Байбатшанов * М.К. , Бейсенбаева М.Т. , Акилбеков С.О.
Published: March 2022

Мақалада Алматы хайуанаттар бағында мекен ететін ақбөкендердің бетпақдала және орал популяцияларында мекен ететін түршелері, биологиялық еркешеліктері, таралу ареалы, ғылымдағы жүйеленуі, елімізде мекендейтін ақбөкендердің таралуы, әлемдегі хайуанаттар бағындағы ақбөкендердің өсуі және оларды өсіруде туындайтын мәселелерді шешу туралы мәліметтер келтірілген. Ақбөкендерді қолда өсірудің жолдары, мінез құлқының ортаға бейімделуі, азықтандыру ерекшеліктері, мінез-құлықтағы өзгешеліктері жан-жақты қарастырылған. Алматы хайуанаттар бағының құрылу кезеңдері, ERAZA, WAZA, SEAZA сияқты зообақтар мен аквариумдардың әлемдік ассоциациясына мүше екендігіне тоқталған. Жануарлардың мінез-құлқын зерттеудің негізгі тәсілдерін хайуанаттар бағында үздіксіз қолдана отырып тұрақты зерттеу жұмыстарын жүргізілетіне, соның ішінде тұяқтылардың мінез құлқын басқарудың жаңа әдістемелері қалыптасқанын келтірген. Алматы хайуанаттар бағында тұрақты түрде өсіп өніп келе жатқан ақбөкендердің мінез құлқына жан-жақты тоқталып соның ішінде көбею кезіндегі аталықпен аналықтың іс-әрекеттеріне тоқталып, иіс сезудің ақбөкеннің өміріндегі маңызына, өзара дыбыстауы, демалу яғни ұйықтаудың өмірдегі алатын орны, шудың алатын орны, жалпы ақбөкендердің мінез-құлқының өзгерістерге ұшырағанын, олардың адамнан қорғану рефлексі өзгергенің, адам жақындауына назар аудармайтын қарастырған. Ақбөкендерді өсірудегі қоршаудың басты талаптарына көбірек зерттеу жүргізетін хайуанаттар бағының қызметкерлерінің зерттеулеріне тоқталған.
ВЛИЯНИЕ ПРЕМИКСА «КОСТОПРАВ» НА ПРОДУКТИВНЫЕ ПОКАЗАТЕЛИ ЦЫПЛЯТ-БРОЙЛЕРОВ
Authors: Альпейсов Ш.А.
Published: March 2022

В статье приведены результаты исследований, связанных с изучением влияния премикса «Костоправ» на продуктивные показатели цыплят-бройлеров. По результатам исследований выявлено, что использование указанного премикса в составе комбикормов оказало положительное влияние на рост и развитие молодняка мясной птицы. Так цыплята-бройлеры 2-й опытной группы показали лучшие результаты выращивания по сравнению с аналогами. Стимуляция внутренних резервов организма позволила повысить живую массу цыплят-бройлеров 2-й опытной группы на 8,9-32,0% по сравнению с 1-й и 3-й группами соответственно. По среднесуточному приросту цыплята опытной группы также превосходили аналогов из других групп на 9,2 и 17,5% соответственно. Затраты корма на 1 кг прироста живой массы во 2-й опытной группе составили 1,81 кг, что на 3,7% меньше, чем в 1-й контрольной группе. Таким образом, включение в рационы цыплят-бройлеров премикса «Костоправ» в объеме 1,25 кг на 1 центнер комбикорма приводит к увеличению продуктивности, сохранности поголовья и снижению затрат корма на получение единицы продукции. По мясным качествам, сортности тушек, а также химическому и минеральному составу мяса цыплят - бройлеров соответствовало требованиям действующего стандарта.
ҚЫЗЫЛОРДА ОБЛЫСЫ ЖАҒДАЙЫНДА КҮРІШТІҢ ЗИЯНКЕСТЕРІНІҢ БИОЛОГИЯЛЫҚ ЕРЕКШЕЛІКТЕРІ, ЗИЯНДЫЛЫҒЫ ЖӘНЕ ОЛАРМЕН КҮРЕСУ ШАРАЛАРЫ
Authors: Жолдасбек * Г.Ж. , Раимбекова Б.Т. , Шапалов Ш.К.
Published: March 2022

Мақалада 2020 жылы Қызылорда облысы жағдайында күріштің зиянкестерінің кең таралуы зерттелген. Соған байланысты облыстағы кездесетін күріш зиянкестерінің түр құрамы мен зақымдау қарқындылығына баға беру шкаласы және де ауыспалы егіс туралы мәліметтер келтірілді. Қазақстанда Қызылорда облысы ірі күріш алқаптарының біріне жатады. Жалпы облыс территориясында вегетация кезінде +10°С-тан жоғары болатын температураның жинағы 3700-4100°С аралығында болады. Оның өсу процесіндегі көптеген өзгерістер ауаның, топырақ пен егістегі судың температурасына байланысты болады. Температура жоғарылаған сайын күріштің өсу қарқыны шапшаңдайды, даму кезеңдерінің арақашықтығы қысқарады, сөйтіп күріштің бүкіл өсіп жетілу мерзімі тездетіле түседі. Сондықтан да жылу қоры белгілі бір жердің күріш егу үшін қаншалықты қолайлы екендігін анықтайды. Ондағы температуралық жағдайларға сүйене отырып, келешектегі күріштің сапасы мен өнімін алдын-ала болжауға да болады. Қызылорда облысында күріш дақылының Маржан, Авангард, Солнечный, Үштөбе және Кубань сорттары кеңінен етек алған. Жыл сайын күріш егіс көлемдері өсуде, ол дақылға тұзды жерлерді қолдануға мәжбүр болады. Күріш алқаптарында су режімді бұзылудан, күріш егісінде жүретін кейбір агротехникалық шаралардың элементтері дұрыс өтпейді, осының нәтижесінен өнім 35-70% төмендейді, ал зиянкестер мен аурулардан келген шығын 15%-дан 30% жетеді. Күріш тұқымын Юнта, к.с. -1,5 л/т және 1,75 л/т (инсектицид) өңдеуішпен өңдеудің әсерінен жаға шыбынның 20 күн өткен соң өлгені 55,6-63,6%, күріш масасына биологиялық тиімділіктер – 57,0-63,0%; бұл көрсеткіштер Рич 350 к.с.- 1,0 л/га (эталон) нұсқасында қарағанда жоғары.
«ШАРЫН» МЕМЛЕКЕТТІК ҰЛТТЫҚ ТАБИҒИ ПАРКІНДЕГІ БҮРКІТТІҢ (AQUILA CHRYSAETOS) САНДЫҚ ДИНАМИКАСЫ
Authors: Шыныбеков* М.К. , Каспакбаев E.M. , Нысанбаева Г.Н. , Нургалиев А.Е. , Кыдыров T.Н.
Published: March 2022

Шарын мемлекеттік ұлттық табиғи паркі аумағындағы жануарлар дүниесінің биологиялық алуантүрлілігі түр құрамының жоғарғы деңгейін көрсетеді. Әсіресе, сүтқо-ректілер мен құстарға өте бай. Шарын мемлекеттік ұлттық табиғи паркінің аумағы орнитофаунасының жазғы аспекті – 130 түрден тұрады, яғни Қазақстанда ұя салатын құстардың 30%-ын құрайды. Жалпы, жыл бойына парк аумағында 236 түрлі құстарды кездестіруге болады (Қазақстан орнитофаунасының 48,1%), оның ішінде Қызыл кітапқа енгені – 22 түр, яғни Қызыл кітапқа кірген құстар санының 39,2%-ын құрайды. Шарын мемлекеттік ұлттық табиғи паркі жалпы 34 түрлі сүтқоректі мекендейді, оның ішінде ҚР Қызыл кітабына енгені – 4, соның бірі – бүркіт (Aquila chrysaetos). Мақалада «Шарын» мемлекеттік ұлттық табиғи паркінде мекендейтін бүркіттерді есепке алу әдістері, далалық есепке алу жұмыстары, есептік ақпарат жазбасы, санын есептеу тәртібі сипатталған. 2011-2020 жылдар аралығындағы анықталған бүркіт туралы мәліметтер, бүркітті маршрутты есепке алу нәтижелері (19 наурыз 2020 жыл), бүркіттің 2020 жылдың көктемгі санағы туралы мәлімет мен бүркіттердің салыстырмалы сандық көрсеткіші келтірілді. «Шарын» мемлекеттік ұлттық табиғи паркіндегі бүркіттердің сандық динамикасы тұрақты екендігі анықталды. Ұялар мен аймақтық жұптар туралы бастапқы мәліметтер картаға түсіріліп, бүркіт кездесетін аймақтар анықталды. Табылған ұялардағы балапандарды ай сайын жағдайын тексеріліп, дәлел ретінде фотосуреттер келтірілді.Соңғы онжылдықта Қазақстанда ерекше қорғалатын аумақтар 2 есеге ұлғайғаны белгілі, бұл іс жүзінде көптеген жойылып бара жатқан жыртқыш құстарды құтқарудың және сақтаудың жолы болып отыр.
ЖАЗДЫҚ АРПА ГЕНОТИПТЕРІНІҢ ФОТОСИНТЕТИКАЛЫҚ ПИГМЕНТТЕРІ МЕН ӨНІМДІЛІГІ
Authors: Кипшакбаева* Г.А. , Амантаев Б.О. , Кипшакбаева А.А. , Рысбекова А.Б. , Кульжабаев E.M.
Published: March 2022

Бұл мақалада Солтүстік Қазақстанның құрғақ далалық аймағы жағдайында жаздық арпа дақылы сорттарының фотосинтетикалық пигменттерінің құрамы, оның ішінде хлорофилл (Chlа), хлорофилл b (Chlb) және каротиноидтар мөлшерінің өсімдіктің түптену, түтікке шығу және масақтану кезеңдеріндегі өзгеруі мен зерттеу жылдарындағы өнімділік деңгейінің арасындағы байланысы көрсетілген. Математикалық талдаулар нәтижесі бой-ынша анықталған корреляциялық байланыс деңгейі көрінісін сызықтық тәуелділік бейнелері де растайды. Хлорофилл b (Chlb) мөлшері төмен болуымен қатар дақыл сорттарының өнімділігі тәуелділік сызығынан алшақ жататындығы анық көрінеді, ал хлорофилл a (Chlа) және каротиноидтар мөлшері дақыл сорттарының өнімділігі тәуелділік сызығына жақын орналасқан. Өнімділік - өсімдіктердің өсіп-даму кезеңдерінде жүретін фотосинтетикалық үрдістердің сипатына тікелей байланыста болады. Өз кезегінде фотосинтетикалық үрдіс-тердің жүруі өсімдік жапырақтарындағы фотосинтетикалық пигменттердің мөлшеріне тікелей байланысты.Жаздық арпа генотиптері бойынша жапырақтардағы фотосинтетикалық пигменттердің жоғары мөлшері (С Chl а -0,42, C car - 0,083) өсімдіктің масақтану кезеңінде байқалғандығы және олардың өнімділік арасында оң корреляциялық байланыста болатындығы дәлелденіп, ол сызықтық тәуелділік бейнелерімен расталған.Арпа дақылының өнімділік деңгейі өсімдік жапырағындағы хлорофилл a (Chlа) мөлшерімен тығыз байланысы (r-0,680438) келтіріліп, пигменттер кешені бойынша Астана 2000 стандарт, Сабир, Монолит сұрыптарын донор ретінде пайдалану ұсынылады.
ОБОСНОВАНИЕ ПАРАМЕТРОВ РОТОРНЫЙ МАШИНЫ ДЛЯ СОРТИРОВКИ КАРТОФЕЛЯ
Authors: Джакуфов* Д.Е. , Молдажанов А.К. , Кулмахамбетова A.T. , Азизов А.А.
Published: March 2022

Предметом моей научно-исследовательской работы является параметры и режимы работы роторной машины для сортировки сельскохозяйственной продукции. Объектом исследования является технологический процесс сортирования картофеля роторно-винтовым устройством. Целью данной работы является обоснование параметров и режима работы сортировки клубней картофеля роторно-винтового типа путём совершенствования сортировального устройства роторного типа повышения удельной производительности и точности сортировки. Теоретические исследования базировались на методах математического и механического моделирования взаимодействия клубней картофеля с роторно-винтовым сортирующим устройством в процессе их движения. Экспериментальные исследования выполнены методом планирования многофакторных экспериментов.

Научная новизна работы заключается в следующем:

- обоснована конструктивно-технологическая схема роторно-винтовой машины сортирующего картофель;

- установлены аналитические зависимости, установлена связь между технологическими параметрами сортировочной машины и режимом функционирования подающего рабочего органа (ротора-питателя);

- получена математическая модель процесса сортирования по качественному параметру оптимизации (точность сортирования);

- определены оптимальные параметры и режимы работы роторно-винтовой сортировочной машины для картофеля, обеспечивающие рациональную точность сортирования при сравнительно короткой длине барабана и при снижении энергоемкости процесса.

Содержащиеся в диссертации научные положения и выводы позволяют обосновать основные конструктивные параметры роторно-винтового сортирующего устройства для картофеля, которые могут быть использованы проектно-конструкторскими организациями.