bluuebunny/crossref_metadata_2025 huggingface dataset:
Trimethylamine N-Oxide Reduces Neurite Density and Plaque Intensity in a Murine Model of Alzheimer’s Disease
Authors: Zarbock Katie R. , Han Jessica H. , Singh Ajay P. , Thomas Sydney P. , Bendlin Barbara B. , Denu John M. , Yu John-Paul J. , Rey Federico E. , Ulland Tyler K.
Published: September 2022

Background: Alzheimer’s disease (AD) is the most common aging-associated neurodegenerative disease; nevertheless, the etiology and progression of the disease is still incompletely understood. We have previously shown that the microbially-derived metabolite trimethylamine N-oxide (TMAO) is elevated in the cerebrospinal fluid (CSF) of individuals with cognitive impairment due to AD and positively correlates with increases in CSF biomarkers for tangle, plaque, and neuronal pathology. Objective: We assessed the direct impact of TMAO on AD progression. Methods: To do so, transgenic 5XFAD mice were supplemented with TMAO for 12 weeks. Neurite density was assessed through quantitative brain microstructure imaging with neurite orientation dispersion and density imaging magnetic resonance imaging (MRI). Label-free, quantitative proteomics was performed on cortex lysates from TMAO-treated and untreated animals. Amyloid-β plaques, astrocytes, and microglia were assessed by fluorescent immunohistochemistry and synaptic protein expression was quantified via western blot. Results: Oral TMAO administration resulted in significantly reduced neurite density in several regions of the brain. Amyloid-β plaque mean intensity was reduced, while plaque count and size remained unaltered. Proteomics analysis revealed that TMAO treatment impacted the expression of 30 proteins (1.5-fold cut-off) in 5XFAD mice, including proteins known to influence neuronal health and amyloid-β precursor protein processing. TMAO treatment did not alter astrocyte and microglial response nor cortical synaptic protein expression. Conclusion: These data suggest that elevated plasma TMAO impacts AD pathology via reductions in neurite density.
Learning Cognitive-Test-Based Interpretable Rules for Prediction and Early Diagnosis of Dementia Using Neural Networks
Authors: Wang Zhuo ,   for the Alzheimer’s Disease Neuroimaging Initiative (ADNI), Wang Jie , Liu Ning , Liu Caiyan , Li Xiuxing , Dong Liling , Zhang Rui , Mao Chenhui , Duan Zhichao , Zhang Wei , Gao Jing , Wang Jianyong
Published: September 2022

Background: Accurate, cheap, and easy to promote methods for dementia prediction and early diagnosis are urgently needed in low- and middle-income countries. Integrating various cognitive tests using machine learning provides promising solutions. However, most effective machine learning models are black-box models that are hard to understand for doctors and could hide potential biases and risks. Objective: To apply cognitive-test-based machine learning models in practical dementia prediction and diagnosis by ensuring both interpretability and accuracy. Methods: We design a framework adopting Rule-based Representation Learner (RRL) to build interpretable diagnostic rules based on the cognitive tests selected by doctors. According to the visualization and test results, doctors can easily select the final rules after analysis and trade-off. Our framework is verified on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset (n = 606) and Peking Union Medical College Hospital (PUMCH) dataset (n = 375). Results: The predictive or diagnostic rules learned by RRL offer a better trade-off between accuracy and model interpretability than other representative machine learning models. For mild cognitive impairment (MCI) conversion prediction, the cognitive-test-based rules achieve an average area under the curve (AUC) of 0.904 on ADNI. For dementia diagnosis on subjects with a normal Mini-Mental State Exam (MMSE) score, the learned rules achieve an AUC of 0.863 on PUMCH. The visualization analyses also verify the good interpretability of the learned rules. Conclusion: With the help of doctors and RRL, we can obtain predictive and diagnostic rules for dementia with high accuracy and good interpretability even if only cognitive tests are used.
Repeated High-Definition Transcranial Direct Current Stimulation Modulated Temporal Variability of Brain Regions in Core Neurocognitive Networks Over the Left Dorsolateral Prefrontal Cortex in Mild Cognitive Impairment Patients
Authors: Zhang Yanchun , Li Chenxi , Chen Deqiang , Tian Rui , Yan Xinyue , Zhou Yingwen , Song Yancheng , Yang Yanlong , Wang Xiaoxuan , Zhou Bo , Gao Yuhong , Jiang Yujuan , Zhang Xi
Published: September 2022

Background: Early intervention of amnestic mild cognitive impairment (aMCI) may be the most promising way for delaying or even preventing the progression to Alzheimer’s disease. Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation technique that has been recognized as a promising approach for the treatment of aMCI. Objective: In this paper, we aimed to investigate the modulating mechanism of tDCS on the core neurocognitive networks of brain. Methods: We used repeated anodal high-definition transcranial direct current stimulation (HD-tDCS) over the left dorsolateral prefrontal cortex and assessed the effect on cognition and dynamic functional brain network in aMCI patients. We used a novel method called temporal variability to depict the characteristics of the dynamic brain functional networks. Results: We found that true anodal stimulation significantly improved cognitive performance as measured by the Montreal Cognitive Assessment after simulation. Meanwhile, the Mini-Mental State Examination scores showed a clear upward trend. More importantly, we found significantly altered temporal variability of dynamic functional connectivity of regions belonging to the default mode network, central executive network, and the salience network after true anodal stimulation, indicating anodal HD-tDCS may enhance brain function by modulating the temporal variability of the brain regions. Conclusion: These results imply that ten days of anodal repeated HD-tDCS over the LDLPFC exerts beneficial effects on the temporal variability of the functional architecture of the brain, which may be a potential neural mechanism by which HD-tDCS enhances brain functions. Repeated HD-tDCS may have clinical uses for the intervention of brain function decline in aMCI patients.
An Alzheimer’s Disease Mechanism Based on Early Pathology, Anatomy, Vascular-Induced Flow, and Migration of Maximum Flow Stress Energy Location with Increasing Vascular Disease
Authors: Trumbore Conrad N. , Raghunandan Aditya
Published: September 2022

This paper suggests a chemical mechanism for the earliest stages of Alzheimer’s disease (AD). Cerebrospinal fluid (CSF) flow stresses provide the energy needed to induce molecular conformation changes leading to AD by initiating amyloid-β (Aβ) and tau aggregation. Shear and extensional flow stresses initiate aggregation in the laboratory and in natural biophysical processes. Energy-rich CSF flow regions are mainly found in lower brain regions. MRI studies reveal flow stress “hot spots” in basal cisterns and brain ventricles that have chaotic flow properties that can distort molecules such as Aβ and tau trapped in these regions into unusual conformations. Such fluid disturbance is surrounded by tissue deformation. There is strong mapping overlap between the locations of these hot spots and of early-stage AD pathology. Our mechanism creates pure and mixed protein dimers, followed by tissue surface adsorption, and long-term tissue agitation ultimately inducing chemical reactions forming more stable, toxic oligomer seeds that initiate AD. It is proposed that different flow stress energies and flow types in different basal brain regions produce different neurotoxic aggregates. Proliferating artery hardening is responsible for enhanced heart systolic pulses that drive energetic CSF pulses, whose critical maximum systolic pulse energy location migrates further from the heart with increasing vascular disease. Two glymphatic systems, carotid and basilar, are suggested to contain the earliest Aβ and tau AD disease pathologies. A key to the proposed AD mechanism is a comparison of early chronic traumatic encephalopathy and AD pathologies. Experiments that test the proposed mechanism are needed.
Somatic Mutations and Alzheimer’s Disease
Authors: Downey Jocelyn , Lam Jacqueline C.K. , Li Victor O.K. , Gozes Illana
Published: September 2022

Alzheimer’s disease (AD) represents a global health challenge, with an estimated 55 million people suffering from the non-curable disease across the world. While amyloid-β plaques and tau neurofibrillary tangles in the brain define AD proteinopathy, it has become evident that diverse coding and non-coding regions of the genome may significantly contribute to AD neurodegeneration. The diversity of factors associated with AD pathogenesis, coupled with age-associated damage, suggests that a series of triggering events may be required to initiate AD. Since somatic mutations accumulate with aging, and aging is a major risk factor for AD, there is a great potential for somatic mutational events to drive disease. Indeed, recent data from the Gozes team/laboratories as well as other leading laboratories correlated the accumulation of somatic brain mutations with the progression of tauopathy. In this review, we lay the current perspectives on the principal genetic factors associated with AD and the potential causes, highlighting the contribution of somatic mutations to the pathogenesis of late onset Alzheimer’s disease. The roles that artificial intelligence and big data can play in accelerating the progress of causal somatic mutation markers/biomarkers identification, and the associated drug discovery/repurposing, have been highlighted for future AD and other neurodegenerations, with the aim to bring hope for the vulnerable aging population.
A structure-protecting kernelized semi-supervised space adjustment for classification
Authors: Azimifar Maryam , Nejatian Samad , Parvin Hamid , Bagherifard Karamollah , Rezaei Vahideh
Published: September 2022

We introduce a semi-supervised space adjustment framework in this paper. In the introduced framework, the dataset contains two subsets: (a) training data subset (space-one data (SOD)) and (b) testing data subset (space-two data (STD)). Our semi-supervised space adjustment framework learns under three assumptions: (I) it is assumed that all data points in the SOD are labeled, and only a minority of the data points in the STD are labeled (we call the labeled space-two data as LSTD), (II) the size of LSTD is very small comparing to the size of SOD, and (III) it is also assumed that the data of SOD and the data of STD have different distributions. We denote the unlabeled space-two data by ULSTD, which is equal to STD - LSTD. The aim is to map the training data, i.e., the data from the training labeled data subset and those from LSTD (note that all labeled data are considered to be training data, i.e., SOD ∪ LSTD) into a shared space (ShS). The mapped SOD, ULSTD, and LSTD into ShS are named MSOD, MULSTD, and MLSTD, respectively. The proposed method does the mentioned mapping in such a way that structures of the data points in SOD and MSOD, in STD and MSTD, in ULSTD and MULSTD, and in LSTD and MLSTD are the same. In the proposed method, the mapping is proposed to be done by a principal component analysis transformation on kernelized data. In the proposed method, it is tried to find a mapping that (a) can maintain the neighbors of data points after the mapping and (b) can take advantage of the class labels that are known in STD during transformation. After that, we represent and formulate the problem of finding the optimal mapping into a non-linear objective function. To solve it, we transform it into a semidefinite programming (SDP) problem. We solve the optimization problem with an SDP solver. The examinations indicate the superiority of the learners trained in the data mapped by the proposed approach to the learners trained in the data mapped by the state of the art methods.
Nonconvex resource allocation for inelastic enterprise applications deployment into the cloud via particle swarm optimization
Authors: Li Shiyong , Li Wenzhe , Sun Wei , Liu Jia
Published: September 2022

The advantages of cloud computing attract a large number of enterprises to deploy their applications into the cloud, thereby reducing their own operating costs. This paper considers deploying inelastic applications into the cloud and proposes an optimal resource allocation model. The deployment functions for inelastic applications are nonconvex (e.g., sigmoidal), then the resource allocation model becomes a hard nonconvex optimization problem. The traditional gradient-based resource allocation algorithm cannot effectively achieve the global optimum. Therefore, this paper applies particle swarm optimization (PSO) method to design a resource allocation scheme. This scheme can not only effectively solve the resource allocation problem of deploying inelastic enterprise applications into the cloud, but also solve the hard problem of deploying multi-class applications into the cloud when the enterprise can support both elastic and inelastic applications. We also compare the performance of the proposed PSO-based resource allocation scheme with some other methods and illustrate some numerical examples to verify the effectiveness and superiority of the proposed resource allocation scheme.
Scientific substantiation of standards of health physical activity for primary-school-age children
Authors:   State Institution ", Hozak S.V. ,   O.M. Marzіeiev Institute for Public Health of the NAMSU",   , Kyiv, Yelizarova O.T. ,   State Institution "O.M. Marzіeiev Institute for Public Health of the NAMSU", Kyiv, Kalinichenko I.A. ,   Sumy State Pedagogical University named after A. S. Makarenko, Sumy, Stankevych T.V. ,   State Institution "O.M. Marzіeiev Institute for Public Health of the NAMSU", Kyiv, Parats A.M. ,   State Institution "O.M. Marzіeiev Institute for Public Health of the NAMSU", Kyiv
Published: September 2022

The aim of the study was to determine the optimal volume of primary-school-age children's physical activity to improve their adaptive capabilities. Materials and methods. The features of physical activity, social factors, anthropometric, and physiological parameters of 297 students in grades 1-4 of schools in Sumy were studied using diaries that parents filled out during the week and examination by a paediatrician (2016). The duration of moderate-to-vigorous physical activity (MVPA) was determined. The adaptive-reserve capabilities (ARV) integral indicator was calculated. ARV due to the characteristics of physical development, and the functioning of the autonomic nervous and cardiovascular systems of the child. Descriptive statistics, contingency tables, dispersion, correlation analysis, and linear regression models were used. Results. We have established that the proportion of children with an unsatisfactory level of adaptive-reserve capabilities among primary-school-age children was about 40%. A trend towards a decrease in ARV in children with chronic diseases was revealed. A relationship between ARV and the duration of sports activities was established (p<0.01). The total value of MVPA was 215.2±16.6 min/week for boys and 189.0±14.0 min/week for girls (p>0.2). The weekly duration of MVPA in children who play organized sports is higher than in those who do it on their own (p<0.001). Estimated health-saving values of MVPA are from 43 to 68 minutes/day with an average value of 55 minutes for boys and from 37 to 61 minutes/day with an average value of 50 minutes for girls. Non-compliance with these norms can lead to a decrease in ARV, especially in the group of children with chronic diseases. Conclusions: The average duration of daily MVPA (with energy consumption of more than 3 METs) should be 55 minutes for boys and 50 minutes for girls for increasing the adaptive-reserve capabilities of children in the age group of 6-10 years.
Medical and statistical analysis of the structure of cancer population in cities of industrial uranium extraction
Authors:   Central Ukrainian Institute of Human Development of the International University of Human Development «Ukraine», Kropyvnytskyi, Shevchuk O.M.
Published: September 2022

Objective: The aim of work is to study the structure of cancer morbidity in the population of Ukraine living in cities of industrial uranium mining. Materials and methods: Kropyvnytskyi and Kirovohrad oblasts were selected as the scientific basis of the research. Kropyvnytskyi produces uranium raw materials, which are transported to Zhovti Vody, the only city in Ukraine where primary uranium enrichment is carried out. The data of cancer morbidity observations with using materials of the regional center of medical statistics, reports of Kirovohrad regional oncology dispensary, materials «Comprehensive Environmental Protection Program in Kirovohrad region for 2016-2020 years» were used to analyze the environmental and radiation situation. Results: Studies have shown that the concentration of radon in the air of residential buildings, especially one-story, often exceeds the permissible level set for uranium miners. Uranium is also no less harmful to the human body. Enterprises extract uranium ore, carry out its primary processing, and its mines pass simply under residential areas. Radon dissolves quickly in the air, but accumulates in closed, basement areas. Thus, it was found that the main dose a person receives in the premises where the city dweller spends 80% of his time. The content of radon in the indoor air is determined by the specifics of the geological structure of the area, the location on its territory of rock massifs with high uranium content. Conclusions: The analysis of Kirovohrad region’s characteristics shows the effects of radiation in the cancer’s structure. Analyzing the indicators of the Kirovohrad region, we can see the effects of radiation in the structure of the cancer. A large number of houses in Kropyvnytskyi are built of building materials, which include granite with high content of radon and uranium, which negatively affects the health of residents of the city and region. Kropyvnytskyi is one of the three cities in Ukraine with the highest cancer mortality rate. One of the reasons is radon, a colorless, odorless and tasteless gas that is released from faults in the earth's crust and has a significant effect on the appearance of cancerous tumors.
A re-evaluation of the kernos, with special reference to the kernos in Demeter's rites
Authors:   , Ziek Robin D.
Published: September 2022

The focus of this paper has therefore become the objects excavated throughout the Mediterranean, which have been called 'kernoi.' An examination of these vessels of various shape and a survey of the finds from excavated Demeter and Kore sanctuaries will show that the Eleusinian vessels, which may be accepted as kernoi, were not common in antiquity outside Attica. Composite vessels are widely known throughout the ancient world, but vessels which may be related to those from Eleusis by virtue of their shape and provenience are rare. This study cannot be considered comprehensive because not all of the vases called 'kernoi' by various modern scholars have been published, nor are they available for study at this time. However, proceeding on the assumption that the published examples are representative of the variety of shapes, the quantity of published vessels need not be central to this discussion when there is still confusion about the basic identification of the kernos. The different varieties of vases will be considered here while further study of the kernos must await comprehensive publication of those known, primarily from Eleusis and Athens.
Comportamientos en el manejo adecuado de los residuos sólidos
Authors: Rodríguez Alfonso Laura Carolina , Vega Molina Yina Tatiana , Cárdenas Frías Gladys Amparo
Published: September 2022

Bogotá, actualmente, genera de manera exponencial diferentes clases de residuos sólidos; situación que obedece al crecimiento de la población, el consumismo, el desarrollo económico, político, histórico y social; demás, de los factores psico-socio-ambiental, entre otros. Esto, promueve una variedad de respuestas conductuales por parte de cada uno de los ciudadanos de la ciudad. Las condiciones de disposición, aprovechamiento y reutilización de los de residuos sólidos presentan serias deficiencias de infraestructura y técnicas de manejo, así como los hábitos y prácticas de la comunidad que resultan inapropiados; al igual que la falta de sentido de pertenencia y convivencia, incrementando de esta manera las afectaciones en el entorno ambiental y los problemas de salud pública. Este trabajo de revisión documental pretende identificar las conductas humanas, frente al manejo de los residuos sólidos que afectan la salud de la comunidad y entorno.
The Sonographic Ooda Loop: Proposing a Beginner's Model for Learning Point-Of-Care Ultrasound
Authors: Baron Aidan , Hodgson Jessica , Beirne Gerrie , Quinton Ann , Bendall Jason
Published: September 2022

Unlike practitioners of formal diagnostic sonography, point-of-care ultrasound users must often acquire basic ultrasound skills in far shorter time frames, with less time dedicated to obtaining mastery; therefore, they often rely on conceptual models to achieve this. There is currently no introductory model which point-of-care ultrasound users might adopt to describe the cognitive processes involved in acquiring a basic ultrasound image, and in learning point-of-care ultrasonography. We propose the ‘sonographic OODA loop’ in reference to Boyd's observe–orient–decide–act (OODA) decision loop, as a model which can be used initially by ultrasound-naive clinicians to understand the cognitive and motor processes that occur when they acquire ultrasound images, and hopefully achieve greater insight into their early practice.
The Relationship Between Problem Solving Skills, Burnout Levels and Self Efficacy Beliefs of School Principals
Authors: GÜNEŞ Ahmet Melih
Published: September 2022

The aim of this research is to determine the relationship between school principals' problem solving skills, burnout levels and self-efficacy beliefs. Quantitative relational design was used in the study. The sample of the research consists of 224 school principals working in Balıkesir. In the research, “Problem Solving Inventory”, “Freidman School Principals Burnout Scale” and “School Principals' Efficacy Perceptions Scale” were used as the data collection tools. Data were analyzed by T-test, Single-factor Analysis of Variance (ANOVA), and structural equation modeling. In the research, it was found that the problem solving skills of the school principals were at a high level and they almost never experienced burnout and their self-efficacy perceptions were at a high level. The results of the study revealed that there was no significant difference in the school principals' problem solving skills, burnout levels and self-efficacy beliefs, and variables such as gender, educational status, experience of principalship and school level. In the study, there was also a low and negative correlation between school principals' problem solving skills and self-efficacy beliefs, self-efficacy beliefs and burnout levels and there was a positive and low level relationship between problem solving skills and burnout levels of the school principals.
Polgári önreprezentáció a huszonegyedik század elején
Authors: Wettstein Domonkos
Published: September 2022

A clear geometric form punctuated to allow for quality of light and spatial arrangement provides Zurich with a monumental place for the arts. The main task not being to create a monument to its architect, to create a monument to the citizens of this city, an autonomous public building which has long been missing from the cityscape.
Vorarlbergi fordulat
Authors: Wesselényi-Garay Andor , Köllő Miklós
Published: September 2022

Architecture as a tool for attracting the younger generations back to the mountains of Transylvania might seem an extreme option. Why would anyone want to visit a building because it is made from timber? Yet the use of dynamic structural forms reflecting the inherent or at least implied danger of a falling tree can create a mountaintop restaurant that is welcoming, informative and above all a worthy destination. Youthful, yet respecting local history and identity.
Dilectio sequitur cognitionem
Authors: Moré Levente
Published: September 2022

It might sound strange, but the urban composition of bus stop, restaurant and church create the visual and social focal point of Pasarét in Budapest. The architectural quality of these three buildings is outstanding, therefore the new parish presbytery needed to meet the same standard. Where a clear use of spatial forms, materials and historical cloister design has been applied.
Pazar atmoszféra
Authors: Paládi-Kovács Ádám
Published: September 2022

Taking a building that was overrun by the apparatus of the former communist regime and returning it to its former splendour is no mean feat. Political systems can, and do have an impact on architectural history, so starting afresh needs a considerable level of dedication. Modernization is also required to meet expected standards of luxury.
Egy alkotói módszertan és építéskultúra leképeződése
Authors: Fürtön Balázs
Published: September 2022

For an architect with many years of experience yet few projects to his name Zumthor's impact on the architectural world is immense. This is due more to an approach to the design process and working culture, an intuitive approach to publicity, and professional ethics. The publication of "Thinking Architecture" nearly twenty five years ago examining the connection between process, 3d modelling and architecture as a whole helped to define this architect's path towards design as a whole.
Taxocene of pelagic copepods in coastal waters of the Argentine Islands, West coast of the Antarctic Peninsula, in 2021—2022
Authors:   Priazovsky National Park, Melitopol, 72309, Ukraine, Tkachenko V. ,   State Institution National Antarctic Scientific Center, Ministry of Education and Science of Ukraine, Kyiv, 01601, Ukraine
Published: September 2022

Pelagic ecosystems are changing in response to the recent climate warming. The mesozooplankton and copepods in particular are important indicators of the state of aquatic ecosystems. Zooplankton in Antarctic waters has been monitored regularly to study biodiversity, food chains, and ecological cycles. In 2021–2022, pilot study of mesozooplankton groups was added to the marine biological research of the Ukrainian Antarctic Program. The preliminary information was obtained on the taxonomic composition and functional characteristics of the taxocene of copepods in the coastal waters of the Argentine Islands. The observed diversity is strongly influenced by the conditions and the available sampling gear. The samples were collected from motor boats using three kinds of plankton nets depending on the weather and ice conditions. From June to February, the predominant species were the common coastal species and species adapted to feeding in the cold upper layers in winter. Trawling samples collected from March to late May best illustrate the seasonal dynamics of the mesozooplankton communities’ temporary and permanent components. Twelve copepods from eight families were identified to the species level. Most constituent species were omnivorous (7 species), followed by detritophages (3 species). The community’s phytophages and predators were locally common. This trophic distribution likely is evidence that they were collected in the surface layer, which is not always favorable for feeding. Therefore, the percentage of omnivorous opportunists was relatively high. Some of the sampled material requires molecular-biological analysis, especially the copepods from the Oncaea Philippi, 1843 and Triconia Böttger-Schnack, 1999 genera. The older copepodites, in particular the adult specimens, were rarely collected. The state of the material was not ideal for unambiguous identification by morphological features. Comparing the results with the latest research on the west coast of the Antarctic Peninsula, we see that the species composition is highly similar (around 80%), except for the deep-water taxa.
Author Correction: The Toponymy of the Argentine Islands area, the Kyiv Peninsula (West Antarctica).
Authors:   State Institution National Antarctic Scientific Center of the Ministry of Education and Science of Ukraine, Kyiv, 01601, Ukraine, Yevchun H. ,   National University of Kyiv-Mohyla Academy, Kyiv, 04655, Ukraine, Fedchuk А. ,   State Institution National Antarctic Scientific Center of the Ministry of Education and Science of Ukraine, Kyiv, 01601, Ukraine, Drohushevska І. ,   Ukrainian Cartographic Group LLC, Kyiv, 02105, Ukraine, Pnyovska O. ,   State Institution National Antarctic Scientific Center of the Ministry of Education and Science of Ukraine, Kyiv, 01601, Ukraine, Chernyshenko M. ,   State Institution National Antarctic Scientific Center of the Ministry of Education and Science of Ukraine, Kyiv, 01601, Ukraine, Parnikoza I. ,   State Institution National Antarctic Scientific Center of the Ministry of Education and Science of Ukraine, Kyiv, 01601, Ukraine,   Institute of Molecular Biology and Genetics of the National Academy of Sciences of Ukraine, Kyiv, 03680, Ukraine,   National University of Kyiv-Mohyla Academy, Kyiv, 04655, Ukraine
Published: September 2022

In the original article, there was an error in Table 1, line 33. In correct option of the article the line 33 in the Table 1 is: 33 Rock Corner Rock Скеля Корнер -65.247686 -64.238384 The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original Article has been corrected online.
Workshop UI/UX Design dan Prototyping dengan Figma di SMK Taruna Masmur Pekanbaru
Authors: Asnal Hadi , Junadhi  , Jamaris Muhamad , Mardainis  , Irawan Yuda
Published: September 2022

Pengabdian ini fokus pada memberikan berkesempatan kepada siswa/i untuk menjadi seorang UI/UX designer yang mampu merancang sebuah produk digital dalam menjawab setiap kebutuhan, baik sisi pengguna maupun pemilik/produsen. Software yang digunakan adalah Figma. Figma adalah editor grafik vektor dan alat pembuatan prototipe yang berbasis web, dengan fitur offline tambahan yang diaktifkan oleh aplikasi desktop untuk macOS dan Windows. Aplikasi pendamping Figma Mirror untuk Android dan iOS memungkinkan melihat prototipe Figma secara real-time di perangkat seluler. Para peserta pelatihan diharapkan mampu membuat user interface yang baik dan rapi menggunakan Figma dan mampu menggunakan Figma Plugins & GUI kits. Metode yang digunakan dalam pelatihan ini adalah metode pelatihan interaktif. Studi kasus pada pelatihan ini adalah pembuatan merancang Homepage/Sign in/Sign Up, dan Design shopping experience, checkout experience, profile, order history
Penerapan Metode Weighted Product untuk Pemilihan Tanaman Tumpangsari pada Kebun Kelapa Sawit
Authors: Rifqi Mi`rajul , Basorudin
Published: September 2022

Salah satu komoditas perkebunan yang berkembang dengan pesat di Indonesia adalah Kelapa sawit (Elaeis guineensis). Penurunan produksi Kelapa sawit terjadi pada saat kelapa sawit telah mencapai usia 25 tahun sehingga perlu dilakukan peremajaan. Permasalahan utama yang dihadapi ketika melakukan peremajaan kebun kelapa sawit adalah adanya jeda waktu yang cukup panjang pada proses pertumbuhan kelapa sawit. Permasalahan tersebut menjadikan petani tidak akan lama memperoleh hasil dari kebun kelapa sawit. Lahan sawit pada masa peremajaan tersebut sebenarnya bisa dimanfaatkan dengan pola polikultur (tumpang sari). Penentuan jenis tanaman yang sesuai ditanam dengan pola polikultur pada kebun kelapa sawit mesti dipilih secara benar. Pemilihan yang benar bertujuan agar menghindari kegagalan dalam pola tumpang sari dan mendapatkan hasil yang maksimal. Karena pentingnya proses pemilihan tanaman dengan pola tumpang sari pada proses peremajaan kebun kelapa sawit, maka perlu membuat penelitian untuk menentukan tanaman dengan pola tumpang sari pada proses peremajaan kebun kelapa sawit berdasarkan standar kriteria yang yang terdapat pada beberapa penelitian sebelumnya dengan metode weighted product. Metode WP dipilih karena kecepatan dan ketepatannya dalam pengambilan sebuah keputusan, dan sesuai dengan kriteria yang ditetapkan atau hampir seperti kriteria yang ditetapkan. Pada penelitian ini, hasil urutan alternatif dimulai dari yang terbaik adalah ubi, pisang, cabe merah, jagung dan kedelai.
Aplikasi Penitipan Hewan Peliharaan di Pet Shop Menggunakan Fitur Pembayaran Virtual Berbasis iOS
Authors: Nugroho Rynetta , Silvana Rasio Henim
Published: September 2022

Hewan peliharaan banyak digemari karena selain bentuknya yang lucu, hewan peliharaan dapat menjadi teman sehari-hari manusia dan memberi ketenangan pikiran. Banyaknya manusia yang memiliki hewan peliharaan membuat perkembangan bisnis dalam bidang jasa untuk penitipan hewan sangat berkembang. Terutama pada musim liburan, jasa penitipan sangat diminati oleh para pemelihara hewan. Akan tetapi untuk mencari tempat penitipan hewan terpercaya membutuhkan waktu untuk mencarinya apalagi ketika Pet Shop yang biasa dikunjungi sedang penuh. Untuk itu dibangunlah sebuah aplikasi penitipan hewan peliharaan yang memudahkan pemilik hewan peliharaan melakukan monitoring hewan yang dititipkan. Aplikasi berbasis iOS ini dibangun menggunakan bahasa Swift dan MySQL Database serta Cloud Firestore pada fitur Real-Time Chat. Kemudian dengan menggunakan JSON API pembayaran secara virtual juga sudah dapat dilakukan. Hasil pengujian black box yang telah dilakukan menunjukkan bahwa aplikasi penitipan hewan telah berjalan dengan baik, kemudian berdasarkan pengujian usability testing kepada 30 responden didapatkan skor rata-rata SUS sebesar 87,13%. Hasil ini menunjukkan bahwa aplikasi yang dibangun dapat digunakan dengan mudah dan baik.
Enkripsi dan Deskripsi File Menggunakan Kombinasi Vigenere dan Shift Cipher di Python
Authors: Megawati  , Muhammad Fitra Hamidy  , Sasqia Ismi Aulia  , Yuhendri Putra  , Mhd Arief  Hasan
Published: September 2022

Penelitian ini bertujuan untuk menerapkan sistem super enkripsi dan deskripsi pada keamanan data file yang sesuai dengan aturan yang digunakan. Untuk mangatasi kesalahan pada proses super enkripsi dan deskripsi ini dapat dilakukan dengan algoritma kriptografi yaitu menerapkan kombinasi Vigenere Cipher dan Shift Cipher pada keamanan data file txt. Vigenere Cipher dan Shift Cipher adalah salah satu algoritma dalam Kriptografi klasik. Algoritma ini di pilih karena mampu melakukan super enkrispi dan deskripsi pada keamanan data file txt. Penelitian ini dilakukan dengan mengubah isi file txt menjadi sandi acak (file enkripsi) untuk menjaga keamanan data dari orang yang tidak berhak, dan hanya pemiliknya yang bisa mengembalikan menjadi data file aslinya (deskripsi). Hasil penelitian ini diharapkan agar sistem yang dibuat dapat membantu menjaga keamanan data file sebelum proses mengirim data dilakukan  dalam lingkup perusahaan,  supaya pesan tetap rahasia sampai ke tangan orang yang berhak.
Penilaian Kematangan Proses Keamanan Sistem Informasi Pendaftaran Pasien Menggunakan Framework Cobit 4.1
Authors: Setiyowati  , Sri Siswanti
Published: September 2022

Pentingnya tata kelola sistem informasi rumah sakit terutama sistem informasi untuk pelayanan pasien, sehingga dapat membantu dalam pengelolaan data pasien serta membantu pasien terkait dengan pelayanan yang harus diperoleh pasien. Rumah Sakit XYZ sudah memiliki sistem informasi pengelolaan rumah sakit, salah satunya adalah sistem informasi untuk pengelolaan pendaftaran pasien, sistem informasi ini berjalan dengan baik, akan tetapi keamanan data dirasa kurang optimal, karena masih ditemukan beberapa pengguna sistem tidak peduli terhadap username dan passwordnya. Sehingga dibutuhkan model tata Kelola untuk menilai tingkat kematangan proses keamanan system. Sebuah framework yang bisa digunakan untuk menyusun tata kelola TI maupun melaksanakan audit TI yang telah diakui secara Internasional salah satunya adalah COBIT (Control Objectives for Information and related Technology). Penelitian ini menggunakan framework COBIT 4.1 untuk menilai kematangan Proses DS5-Ensure Systems Security. Penilaian dilakukan terhadap bagian pengelolaan data pasien yang terdiri dari Kepala Bagian IT, 2 staff IT, 12 orang yang bertugas di bagian pendaftaran. Hasil penelitian ini menunjukkan bahwa tingkat kematangan keamanan sistem informasi pendaftaran saat ini (as-is) rata-rata berada pada level 3 yaitu defined process, untuk tingkat kematangan atribut tools and automation  berada pada level 2, pada Control Objective DS5.1, DS5.2, DS5.3, DS5.4, DS5.8, DS5.9, DS5.10, DS5.11. Tingkat kematangan yang diharapkan pada tingkat kematangan 5. Sehingga masih ditemukan Gap, dibutuhkan rekomendasi perbaikan untuk Control Objective dan Atribut yang tingkat kematangannya paling rendah. Rekomendasi perbaikan dengan mengacu pada Cobit 4.1.
Penerapan Metode Simple Additive Weighting (SAW) dalam Penentuan Calon Penerima KJP
Authors: Friska Klara  , Haryanti Tuti , Kurniawati Laela
Published: September 2022

Salah satu hak anak adalah mendapatkan pendidikan yang layak, tetapi masih banyak orang tua yang tidak mampu untuk membiayai pendidikan anaknya. Pemerintah menyediakan Kartu Jakarta Pintar (KJP)  untuk membantu pendidikan siswa yang kurang mampu. Masalah yang dihadapi pada SDN Lagoa 09 Jakarta Utara banyak orang tua memakai data palsu dan keterbatasan waktu operator  untuk validasi. Penelitian ini  bertujuan untuk pemilihan siswa/i yang layak menjadi Calon Penerima KJP yang obyektif. Metode yang digunakan adalah Simple Additive Weighting (SAW). Metode ini menentukan nilai bobot untuk setiap atribut, yang dilanjutkan dengan proses perangkingan dan akan menghasilkan alternatif terbaik dari banyak alternatif dengan perhitungan yang cukup tepat.  Siswa calon penerima KJP pada  SDN Lagoa 09 Jakarta Utara diseleksi berjumlah 34 orang berdasarkan kriteria yang terdiri dari Kondisi Orangtua, Status Tempat Tinggal, Pekerjaan Orang tua, Penghasilan Orang tua dan Jumlah Anak dalam Keluarga. Hasil yang diperoleh berdasarkan penelitian dengan metode Simple Additive Weighting adalah 11 siswa yang berhak menerima KJP
Analisis dan Perancangan Sistem Informasi Pengelolaan Data Administrasi Sekolah Dasar Islam Terpadu
Authors: Sujono  , Maxrizal  , Lili Indah Sari
Published: September 2022

Pengelolaan data administrasi yang baik merupakan hal yang sangat penting didalam suatu organisasi tidak kecuali pada Sekolah Dasar Islam Terpadu. Tujuan penelitian ini adalah untuk mencari solusi dari permasalahan yang dihadapi pada sekolah dasar islam terpadu terkait dengan sistem pengolahan data administrasi yang dilakukan masih secara manual, masalah yang ada yaitu  kesulitan mencari berkas pendaftaran dan pembayaran sekolah siswa, data pembayaran siswa yang belum ataupun yang sudah bayar, pengecekan pembayaran sekolah siswa setiap bulan, dan pengelompokan siswa.  Penelitian ini menganalisa dan merancang sistem pengelolaan data adminstrasi dengan metode Prototipe sebagai pengembangan sistem dan menggunakan UML (Unified Modelling Language) sebagai perancangan sistem. Sedangkan metode yang digunakan untuk pengumpulan data yaitu interview, untuk mendapatkan dokumen, data, dan informasi dari narasumber terkait dengan administrasi Sekolah Dasar Islam Terpadu. Dari hasil penelitian ini adalah sebuah prototype sistem informasi administrasi yang pengujiannya dilakukan menggunakan pengujian Black Box Testing, dilihat dari tabel hasil pengujian menghasilkan data yang sesuai.
Penerapan Augmented Reality Untuk Pengenalan Ukiran Rumah Gadang Khas Minangkabau Menggunakan Metode 3d Objek Tracking
Authors: Rahmiati  , Ambyar  , M.Giatman  , Fransiskus Zoromi  , Maharani
Published: September 2022

West Sumatra is a famous place which loved for tourist both its natural beauty and culture products such as tourist attraction of the seribu rumah gadang, the pagaruyuang palace and rumah gadang sungai beringin. At the rumah gadang sungai beringin currently there is no tour guide that explains the meaning of the engraving contained in the rumah gadang. Then we need a technology that can be used by visitors through mobile such as Augmented Reality. Augmented Reality is a technology that combines two-dimensional and or three-dimensional virtual objects into a real three-dimensional environment and then projects these virtual objects in a real time. So using Augmented Reality technology can make it easier for users to know and learn the meaning contained in the Minangkabau traditional house carvings. So the first with collecting data carvings in the Rumah gadang sungai beringin as a target model. Furthermore, it is processed by using Unity as the target databases. Features in this application display the details of engraving and pepatah minang equipped with audio. By the presence of mobile-based Augmented Reality technology, it can make it easier for users to understand and learn the carvings that found in the Rumah Gadang sungai beringin
Pengambilan Keputusan Pemilihan Model Sepeda Motor Honda Transmisi Otomatis untuk Stok Penjualan Dealer dengan Metode Analytic Hierarchy Process (AHP)
Authors: Hayat Cynthia
Published: September 2022

Banyaknya varian tipe dan model seringkali malah membuat  (slow moving stok) bagi Dealer. Hal ini akibat dari selera customer yang berbeda-beda dan lebih kritis dalam memilih barang yang akan dibeli. Terlebih dengan kemudahan arus informasi, calon pelanggan dapat membandingkan barang-barang yang akan dibeli sebelum mengambil keputusan untuk membelinya. Salah satunya adalah keputusan pembelian kendaraan bermotor. Untuk membantu dealer dalam memprediksi selera konsumen, penelitian ini dilakukan dengan menganalisis pemilihan varian model dan tipe motor matic. Hal ini diharapkan agar pengadaan stok barang yang lebih efisien dan mengarah kepada selera calon konsumen. Data diperoleh dari wawancara dengan narasumber dealer untuk menentukan kriteria dan alternatif kemudian dianalisis menggunakan metode analytic hierarchy process (AHP) dan expert choice Output yang dihasilkan digunakan sebagai pendukung keputusan dalam penentuan stok dari model motor Honda di showroom. Dealer bisa menentukan jumlah stok penjualan di showroom dilihat dari urutan prioritas kriteria dan subkriteria yang dihasilkan. Urutan alternatif yang dihasilkan adalah Scoopy (24.6%), Vario (20.7%), Beat (19.5%), PCX (18.3%), dan Spacy (16.8%).
Penerapan Model Waterfall Pada Rancang Bangun Sistem Informasi Pengelolaan Surat Keterangan Usaha
Authors: Syamsul Bakhri  , Muhammad Fikri Arif
Published: September 2022

Kantor Desa  Banjarwaru  Kecamatan Ciawi merupakan  Instansi pemerintah tingkat yang paling bawah, dimana Kantor Desa ini merupakan suatu instansi yang melakukan  pendataan  penduduk. Salah satu pelayanan yang diberikan yaitu membuatkan surat keterangan usaha bagi warga yang memiliki usaha. Masih berlakunya sistem manual pada pengelolaan Surat Keterangan Usaha sering terjadi kendala seperti salah input, data tidak sama, tidak ada arsip data yang telah di ajukan akibatnya sewaktu-waktu dicari datanya tidak ada dan banyak lagi kendalanya sehingga tidak efektif dan efisien. Dalam pengelolaan Surat Keterangan Usaha tersebut menggunakan file berbentuk MS.Word yag bisa saja sewaktu-waktu hilang karena kesalahan petugas kasi pelayanan atau kerusakan komputer. Penelitian ini menganalisa dan merancang sistem berbasis desktop, untuk mempermudah petugas pelayanan dalam pembuatan, penyimpanan, pencarian Surat Keterangan Usaha, dengan metode Waterfall sebagai pengembangan sistem, sedangkan metode pengumpulan datanya menggunakan metode interview dan studi pustaka. Sistem ini juga menggunakan pemodelan struktur data unified model languange(UML). Perangkat lunak pendukungnya xampp dan database mysql.
Penerapan Algoritma Hybrid RSA Terhadap Pembangkit Kunci Diffie Hellman untuk Sistem Keamanan
Authors: Romindo  , Ferawaty
Published: September 2022

Dalam dunia kriptografi, kunci untuk mengenkripsi dan mendekripsi  pesan rahasia adalah salah satu  yang paling penting. Kunci tersebut menentukan apakah ciphertext dapat dibaca atau tidak. Rahasia kunci sebenarnya adalah sesuatu yang mungkin lebih esensial dan penting daripada rahasia ciphertext itu sendiri, dalam arti pesan ciphertext bisa dibocorkan tapi kuncinya tidak bisa diungkap. Tujuan penelitian ini membahas tentang implementasi sistem keamanan data dengan metode algoritma hybrid Rivest Shamir Adleman (RSA) pada pembangkit kunci Diffie Hellman. Kombinasi suatu algoritma kriptografi kunci publik ke dalam algoritma pertukaran kunci Diffie Hellman yang digunakan untuk algoritma kunci simetri merupakan hal yang menarik. Dalam hal ini, algoritma kriptografi kunci publik yang digunakan untuk memperkuat algoritma pertukaran kunci Diffie-Hellman adalah RSA. RSA digunakan dengan alasan tingkat keamanannya sangat tinggi dari sekian banyak kemungkinan kombinasi algoritma. Pada kombinasi algoritma RSA sangat bermanfaat dalam proses pertukaran kunci dan dengan kombinasi algoritma Diffie Hellman bisa memberikan hasil pada kombinasi kedua metode tersebut sehingga keamanan data jadi lebih terjaga dan memberi tingkat kesukaran pada kunci menjadi lebih rumit serta kompleks juga membuat kunci tersebut sulit untuk dipecahkan oleh penyadap dengan hasil perhitungan nilai kunci simetris yang didapatkan oleh Alice dengan nilai kunci simetris key x = yx mod q = 805599 mod 1444 = 961 dan Bob dengan nilai kunci simetris Key y = x4 mod q = 599805 mod 1444= 961.
Augmented Reality Buku Iqra Untuk Anak Usia Dini Sebagai Optimasi Minat Belajar
Authors: Chan Andi Supriadi , Lukcyhasnita Andam , Hutagalung Gabriel Ardi , Pandu Pratama Putra
Published: September 2022

Seluruh dunia sedang berjuang untuk menyelamatkan diri dari dampak pandemi COVID-19. Sehingga kegiatan belajar mengajar, baik di tingkat sekolah dasar hingga perguruan tinggi, terganggu. Lambat laun kemajuan pembelajaran jarak jauh mulai menimbulkan berbagai permasalahan, salah satunya sulitnya sekolah dasar dan PAUD dalam melaksanakan pembelajaran praktik, seperti pembelajaran praktik mengaji seperti Iqra'. Dan semangat siswa menjadi kendor karena kurang antusias dibandingkan dengan pembelajaran tatap muka seperti biasanya. Dengan menggunakan AR sebagai media pembelajaran alternatif, diharapkan suatu kegiatan pembelajaran menjadi lebih menarik bagi anak-anak. Manfaat selanjutnya yang diperoleh adalah media pembelajaran yang lebih maju dengan memanfaatkan perkembangan teknologi saat ini. Perancangan buku Iqra yang berisi huruf hijaiyah ini didesain dengan gambar dan panduan cara penulisan huruf hijaiyah yang mudah dipahami dan komposisi warna yang ramah anak, buku ini juga terkait dengan kepentingan lembaga pendidikan, karena fungsinya sebagai acuan dalam bidang teknologi informasi dan komputer serta desain visual. Pengayaan pengetahuan secara tidak langsung membantu meningkatkan kompetensi pendidik dan peserta didik.