bluuebunny/crossref_metadata_2025 huggingface dataset:
VECTOR SPACE MODELS OF KYIV CITY PETITIONS
Authors: Shaptala Roman , Kyselov Gennadiy
Published: December 2021

In this study, we explore and compare two ways of vector space model creation for Kyiv city petitions. Both models are built on top of word vectors based on the distributional hypothesis, namely Word2Vec and FastText. We train word vectors on the dataset of Kyiv city petitions, preprocess the documents, and apply averaging to create petition vectors. Visualizations of the vector spaces after dimensionality reduction via UMAP are demonstrated in an attempt to show their overall structure. We show that the resulting models can be used to effectively query semantically related petitions as well as search for clusters of related petitions. The advantages and disadvantages of both models are analyzed.
A ATUAÇÃO DOS QUINTAIS PRODUTIVOS COMO R-EXISTÊNCIAS TERRITORIAIS
Authors: Costa Aelton Dias , Santos Jorge Sales dos , Oliveira Rita Denize de , Folhes Ricardo Theophilo
Published: December 2021

As diversas formas de resistência se materializam em diferentes espaços a partir da relação entre sociedade e natureza, nesse contexto os processos agroecológico em ambientes urbanos surgem como processo de r-existência a partir do aspecto territorial, assim, buscou-se como temática principal a importância da agroecologia como ferramenta de desenvolvimento socioambiental em áreas periféricas, teve como objetivo analisar os quintais produtivos da Ilha de Caratateua, localizada a 25Km do centro urbano da cidade de Belém capital do estado do Pará sob as bases da agroecologia. A metodologia da pesquisa constou inicialmente com levantamento bibliográfico sobre as características geoambientais da ilha, e levantamento em campo das territorialidades, dinâmica, estrutura e função dos quintais produtivos. Dos resultados de pesquisa, compreendeu-se os quintais produtivos como tipologia territorial de experiência agroecológica em áreas urbanas de suma importância para construção de outros territórios e territorialidades, geo-grafias e paisagens capazes de contribuir para a Soberania Alimentar, Autonomia dos Povos, Direito à Cidade e promoção de discursos descoloniais.
Image Encryption Based on Arnod Transform and Fractional Chaotic
Authors: Chen Chao , Zhang Hongying , Wu Bin
Published: December 2021

In view of the problem of cracking easily and partial distortion of images after encryption or decryption, a novel image encryption and decryption algorithm based on Arnod Transform and fractional chaotic is proposed. To begin with, the Arnold transform is used to encrypt. So that the spatial confidence of the original image has been comprehensively disturbed. Secondly, the XOR involving the fractional order chaotic sequence is used to encrypt. The key sequence is dynamically generated to ensure the randomness and difference of key generation. When decryption is required, the first decryption is performed using the key and XOR. Then the second decryption is carried out by using the inverse Arnold transform, and finally the decrypted image is obtained. Experimental results show that the improved algorithm has achieved better performance in encryption and decryption.
Pengaruh Daya Tarik Interpersonal terhadap Kohesivitas Kelompok Tani Bawang Merah di Kecamatan Mijen, Kabupaten Demak
Authors: Sari Tri Maulana , Winarno Joko , Suminah Suminah
Published: December 2021

Group cohesiveness as a dynamic process that is seen from the interest and attachment of relationships between members is an important thing that must be owned by farmer groups. The cohesiveness of shallot farmer groups in Mijen Sub-district, Demak Regency is influenced by several factors, one of which is interpersonal attractiveness. Cohesive groups make it easier to transfer information. The purpose of this study was to examine the level of interpersonal attractiveness of farmer group members, to examine the level of cohesiveness of farmer groups and to analyze the effect of interpersonal attractiveness on the cohesiveness of the shallot farmer group. The research method used was a saturated sample by taking all groups of shallot farmers in Mijen Sub-district, Demak Regency as samples in the study. Methods of data analysis using descriptive quantitative and simple regression analysis. The results of the study indicate that the level of interpersonal attractiveness of members of the shallot farmer group in Mijen Sub-district, Demak Regency is classified as very high or reaches 46.88%. The level of group cohesiveness is high, reaching 47.70%. Interpersonal attractiveness has a significant effect of 28% on the cohesiveness of farmer groups and the other 72% is influenced by other factors outside the study. Suggestions from the research that has been carried out are to maintain the social activities that have been carried out from the simplest things.
A METHOD FOR CHOOSING A STRATEGY FOR THE BEHAVIOR OF A CELLULAR AUTOMATON WHEN SOLVING THE PROBLEM OF FINDING TARGETS BY A GROUP OF MOVING OBJECTS
Authors: Chystov Valerii , Zakharchenko Iryna , Pavlenko Vladislava , Pavlenko Maksim
Published: December 2021

Currently, a large number of different mathematical models and methods aimed at solving problems of multidimensional optimization and modeling of complex behavioral systems have been developed. One of the areas of search for solutions is the search for solutions in conditions of incomplete information and the need to take into account changing external factors. Often such problems are solved by the method of complete search. In some conditions, the method of complete search can be significantly improved through the implementation and use of behavioral models of natural formations. Examples of such formations can be group behavior of insects, birds, fish, various flocks, etc. The idea of copying group activity of a shoal of fishes at the decision of problems of joint activity on extraction of food is used in work. The reasoning based on the simulation of the behavior of such a natural object allowed to justify the choice as a mathematical model - cellular automata. The paper examines the key features of such a model. Modeling of his work is carried out, strategies of behavior of group of mobile objects at search of the purposes are developed, key characteristics are investigated and the method of adaptive choice of strategy and change of rules of behavior taking into account features of the solved problem is developed. The search strategy is implemented in the work, which takes into account the need to solve the optimization problem on two parameters. The obtained results testify to the high descriptive possibility of such an approach, the possibility of finding the optimal strategy for the behavior of the cellular automaton and the formalization of the process of selecting the parameters of its operation. A further improvement of this approach can be the implementation of simulation to study the properties of the developed model, the formation of the optimal set of rules and parameters of the machine for the whole set of tasks.
INTELLIGENT APPROACHES TO ORGANIZING REMOTE QUALITY CONTROL OF STORAGE OF GRAIN PRODUCTS
Authors: Diachenko Vladyslav , Liashenko Oleksii , Mikhal Oleg , Umanets Mariia
Published: December 2021

Cereals are an essential part of the diet of Homo sapiens. Since late Neolithic times, with the transition to sedentary farming, working with grain (growing, storing, processing, cooking food) has become a traditional type of professional human activity. As part of the accumulated historical experience, numerous technological processes have been developed and optimized for this type of activity. The relevant technologies evolved in close correlation with the changing conditions of life, literally under the pressure of Darwinian natural selection, because they were directly related to the survival of the Homo sapiens. Further development of grain-processing technologies remains invariably urgent today, as evidenced by the report [1] presented by the UN on the state of food security and nutrition in the world - with horrifying figures depicting the need and misery of the wide masses of the population of the planet. An important component of grain processing is the technology associated with the storage of grain products. Part of the stored grain products is used as seed stock for a new cycle of grain sales, the other - a significant part - for processing into food products. At the same time, new developed (optimized, improved) grain storage technologies must be safe, low-cost, maximally compatible with previously developed (available) equipment, and scalable to large volumes of stored material. Of course, the technology must ensure proper efficiency, an indicator of which should be a reduction in the percentage of grain product losses. In this regard, management methods used in the technological processes of grain products storage are substantially important, as well as methods of control over the current state of grain products for the correct organization of the technological processes. In particular, methods using elements of artificial intelligence are of high interest. Among them, neural networks are promising, especially those capable of learning "without a teacher" - Kohonen Maps (KK). Modified KK algorithm [2] implements reduced learning time[3], which is relevant in the implementation of adaptive procedures for processing the results of measurements of controlled parameters. The purpose of this paper is to consider the principles of using modified Kohonen maps to classify situations with applicability to remote quality control of grain products storage.
HIERARCHICAL REPRESENTATION OF CAUSAL RELATIONSHIPS TO DETAIL EXPLANATIONS IN INTELLIGENT SYSTEMS
Authors: Chalyi Serhii , Leshchynskyi Volodymyr
Published: December 2021

The subject of research in the article is the processes of constructing explanations in intelligent systems based on the use of causal dependencies. The aim is to develop a hierarchical representation of causal relationships between the actions of an intelligent system to form an explanation of the process of the system's operation with a given degree of generalization or detailing. Representation of the hierarchy of cause-and-effect relationships allows you to form an explanation at a given level of detail using the input data in the form of a temporally ordered sequence of events reflecting the known actions of an intelligent system. Tasks: structuring the hierarchy of cause-and-effect relationships for known variants of the decision-making process in an intelligent information system, considering the temporal ordering of the corresponding actions; development of a model of a multi-level representation of causal dependencies for description for explanations in an intelligent system. The approaches used are: counterfactual analysis of causality, used to describe alternative dependencies for possible decision-making options; linear temporal logic to reflect the temporal aspect of causation. The following results were obtained. A generalized hierarchy of cause-and-effect relationships is highlighted for the known variants of the process of obtaining recommendations in an intelligent information system based on the temporal ordering of the corresponding decision-making actions. A model of hierarchical representation of causal dependencies has been developed to describe explanations in an intellectual system with a given degree of detail. Conclusions. The scientific novelty of the results obtained is as follows. A model of hierarchical representation of time-ordered causal relationships is proposed to describe the explanations of the operation of an intelligent system with a given degree of detail. At the top level of the hierarchy, the model defines a generalized causal relationship between the event of using the input data and the event of the result of the system's operation. This connection describes the current task that the intelligent information system solves. At the lower level, cause-and-effect relationships are set between events sequential in time, between which there are no other events. At intermediate levels of the hierarchical representation, the causal dependencies of pairs of events are determined, between which there are other events. The developed model creates conditions for constructing explanations with a given degree of detailing of the actions of the decision-making process in an intelligent system. The model also provides the ability to describe early and late anticipation of alternative sequences of the decision-making process by describing causal dependencies for events between which there are other events.
Examination of Antiviral Resistance in Venezuelan Equine Encephalitis Virus
Authors:   ,   University of Tennessee Health Science Center, Lee Jasper
Published: December 2021

Venezuelan equine encephalitis virus (VEEV) is a New World Alphavirus that causes Venezuelan equine encephalitis (VEE), which is characterized by a febrile illness that can progress to neurological disease and death. While no major outbreaks of VEE have occurred since 1995, VEEV is a virus of concern as, in addition to its spread through mosquitos, it can be aerosolized and used as a bioweapon. Unfortunately, there are currently no FDA-approved vaccines or antivirals against VEEV. Efforts have been made to discover small molecules with an inhibitory effect on VEEV, but the potential for emergence of antiviral resistance to these compounds will remain a concern because VEEV is an RNA virus with a high mutation rate and grows to high titers. To examine the evolutionary trajectory of antiviral resistance in VEEV, we developed a next-generation sequencing pipeline to examine single-nucleotide polymorphisms that emerged after repeated passaging of the virus with increasing concentrations of antiviral compounds. In addition, we examined the effect of the microenvironment on the evolution of antiviral resistance, both in cell culture and mouse models. We found that VEEV evolves resistance to the compound ML336 and its derivatives through mutations in the nsP2 and nsP4 genes, but the number, timing of emergence, and the extent of penetrance of these SNPs depend on the compound. These mutations emerged more slowly when infecting an astrocyte cell line. We also found that neurons in the mouse brain did not impose a selective pressure on VEEV during an infection. These results demonstrate how the population dynamics of RNA viruses can be tracked over time and the extent to which they are affected by selective pressures, as well as opening questions about how viruses can mutate and adapt at the molecular level.
Faktor yang Mempengaruhi Rasa Ingin Tahu dan Kemampuan Memecahkan Masalah Siswa pada Mata Pelajaran IPA SMP
Authors: Artinta Sindy Vega , Fauziah Hanin Niswatul
Published: December 2021

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi karakteristik rasa ingin tahu siswa dan kemampuan memecahkan masalah. Metode yang digunakan dalam penelitian ini berjenis kualitatif dengan desain naturalistic dan pendekatan yang digunakan berupa deskriptif. Penelitian ini dilakukan di SMPN 5 Ponorogo dan SMP Ma’arif 1 Ponorogo, dengan jumlah sampel sebanyak tujuh guru IPA. Sampel ini diambil dengan teknik purpossive sampling. Instrumen yang digunakan dalam penelitian ini adalah wawancara. Data dikumpulkan melalui wawancara semi terstruktur dan dokumentasi yang kemudian dianalisis menggunakan metode induktif. Berdasarkan hasil analisis data ditemukan bahwa faktor yang mempengaruhi rasa ingin tahu siswa adalah pokok materi, motivasi guru, apersepsi guru, penggalian pertanyaan, semangat dari diri anak, minat belajar dan jenis kelamin. Faktor yang mempengaruhi kemampuan memecahkan masalah adalah strategi yang digunakan oleh guru, materi yang disampaikan, motivasi guru, kemampuan awal siswa, tingkat kompleksitas materi, lingkungan dan keluarga.
Efektivitas Model Inkuiri Terbimbing Berbantuan Lembar Kerja Siswa (LKS) Penemuan Konsep terhadap Kemampuan Menyimpulkan Sub Materi Sistem Ekskresi
Authors: Sholihah Mazziyatus , Pertiwi Faninda Novika
Published: December 2021

Penelitian ini bertujuan untuk mengetahui efektivitas model inkuiri terbimbing berbantuan lembar kerja siswa (LKS) penemuan konsep subbab sistem ekskresi terhadap kemampuan menyimpulkan siswa kelas XI MA Al-Iman. Jenis penelitian yang digunakan yaitu penelitian eksperimen dengan rancangan One Group Pre Test Post Test Design. Sampel penelitian terdiri atas 25 siswa kelas XI IPA MA Al-Iman Babadan, Ponorogo. Teknik pengambilan sampel menggunakan Purposive Sampling. Data yang digunakan adalah data kemampuan menyimpulkan berdasarkan 4 indikator kemampuan menyimpulkan dengan memasukkan kriteria indicator pada 18 soal Essaai. Kemudian, diolah menggunakan SPSS versi 18. Uji Validitas menunjukkan      bahwa      semua      instrument      tes      valid      dengan r hitung >0.05, sedangkan Uji Reliabilitas Tes menunjukkan nilai signifikansi sebesar 0.792, sehingga menunjukkan bahwa data reliable. Data dianalisis menggunakan uji T yaitu Paired Sample T Test. Hasil penelitian menunjukkan bahwa hasil uji paired t test,    yaitu sig.2tailed sebesar<0.05 yang berarti bahwa terdapat perbedaan yang signifikan antara rata-rata nilai sebelum perlakuan (pre test) dengan rata- rata setelah perlakuan (post test). Selain itu pemahaman siswa mampu meningkat dengan seringnya penerapan guru terhadap Model Pembelajaran Inkuiri Terbimbing Berbantuan Lembar Kerja Siswa Penemuan Konsep.Sehingga disimpulkan bahwa pembelajaran yang menggunakan Model Inkuiri Terbimbing Berbantuan Lembar Kerja Siswa (LKS) Penemuan Konsep mempunyai efektifitas yang cukup.
Efektivitas Model Problem Based Learning Melalui Pendekatan Science Education for Sustainability dalam Meningkatkan Kemampuan Kolaborasi
Authors: Masruroh Lailatul , Arif Syaiful
Published: December 2021

Kemampuan kolaborasi merupakan kunci untuk mencapai proses pembelajaran yang efektif dan keterampilan kolaborasi inilah yang dibutuhkan dalam pendidikan dan dunia kerja. Penelitian ini bertujuan untuk mengetahui pelaksanaan model Problem Based Learning (PBL) dan efektivitas model Problem Based Learning (PBL) melalui pendekatan Science Education for Sustainability dalam meningkatkan kemampuan kolaborasi Peserta Didik IPA Kelas VIII SMP Negeri 4 Ponorogo. Metode penelitian ini termasuk penelitian Quasi Eksperiment, melalui pendekatan penelitian kuantitatif. Dalam pengambilan sampel menggunakan purposive sampling, yaitu kelas VIII H sebagai kelas eksperimen dan kelas VIII E sebagai kelas kontrol. Instrumen yang digunakan dalam penelitian ini berupa tes pilihan ganda dan lembar penilaian observasi. Pelaksanaan model problem based learning melalui pendekatan Science Education for Sustainability berdasarkan lembar observasi penilaian terlaksana dengan baik dengan rata-rata kemampuan diperoleh 78,28%. Berdasarkan hasil uji hipotesis Independent Sampe T-Test, dapat diketahui bahwa data hasil nilai post-test thitung=1.443 sedangkan untuk ttabel=0,355 dengan jumlah responden 31. Dimana hasil dari thitung>ttabel (1.443>0,355), maka H0 ditolak dan H1 diterima. Dengan demikian membuktikkan bahwa ada perbedaan signifikan efektivitas antara penggunaan model problem based learning melalui pendekatan Science Education for Sustainability dengan model konvensional dalam meningkatkan kemampuan kolaborasi peserta didik IPA kelas VIII di SMP Negeri 4 Ponorogo.
Efektivitas Model Pembelajaran VAK (Visualization, Auditoy, and Kinestetics) dengan Pendekatan Literasi Sains terhadap Kemampuan Presentasi Peserta Didik MTS Kelas VII
Authors: Lutfirohmatika Ikfina , Novika Pertiwi Faninda
Published: December 2021

Kemampuan presentasi merupakan hal yang perlu difokuskan agar proses elajar mengajar menjadi lebih bermakna. Hal ini membuktikan bahwa kemampuan presentasi sangat penting terutama dalam pembelajaran IPA di sekolah. Selain itu, pengembangan model pembelajaran sangat dibutuhkan dalam penyampaian materi IPA. Penelitian ini bertujuan untuk mendeskripsikan pengaruh pembelajaran VAK (Visualization, Auditory, and Kinestetics) dengan pendekatan literasi sains terhadap kemampuan presentasi peserta didik kelas VII di MTSN 1 Ponorogo. Metode penelitian yang digunakan yaitu kuantitatif dengan jenis penelitian eksperimen  Pretest-Postest Control Group Design. Data yang dikumpulkan melalui lembar observasi, angket dan tes, kemudian data yang diperoleh dianalisis menggunakan uji T (Two tailed) dan uji T (One tailed). Hasil penelitian yang telah dilakukan lalu dianalisis menggunakan uji T. Berdasarkan uji T (Two tailed) yang telah dilakukan, besarnya signifikansi yaitu 0,000. Dimana 0,000 < 0,05. Dapat dinyatakan bahwa terdapat perbedaan yang signifikan kemampuan presentasi peserta didik yang memperoleh penerapan model pembelajaran VAK dengan pendekatan literasi sains dan yang memperoleh penerapan model pembelajaran VAK. Dengan demikian dapat diketahui bahwa model pembelajaran VAK dengan pendekatan literasi sains dapat meningkatkan kemampuan presentasi. Sedangkan hasil uji T (One tailed) yang telah dilakukan, besarnya P-Value adalah 0.001. Dimana 0,001 < 0,05. Dapat dinyatakan bahwa penerapan model pembelajaran VAK dengan pendekatan literasi sains lebih efektif daripada penerapan model pembelajaran VAK.
Efektivitas Model Pembelajaran Treffinger Berbasis Reading Aloud Untuk Meningkatkan Kemampuan Menulis Literasi Ilmiah Peserta Didik MTS Kelas VIII
Authors: Imaroh Rahma Dhiyaul , Fauziah Hanin Niswatul
Published: December 2021

Penelitian ini bertujuan untuk mengetahui efektivitas model pembelajaran Treffinger berbasis Reading Aloud terhadap kemampuan menulis literasi ilmiah peserta didik kelas VIII di MTs Negeri 4 Ponorogo. Penelitian ini menggunakan metode kuantitatif dengan desain Pretest-Posttest Control Group Design. Sampel pada penelitian ini adalah peserta didik kelas VIII A sebagai kelas eksperimen dan kelas VIII C sebagai kelas kontrol dengan jumlah 47 peserta didik. Penelitian ini dilakukan di MTs Negeri 4 Ponorogo. Instrumen pengambilan data menggunakan soal tes berupa essay yang diberikan kepada peserta didik sebelum dan sesudah diterapkan model pembelajaran Treffinger berbasis Reading Aloud. Data dianalisis dengan uji-t menggunakan aplikasi Minitab. Berdasarkan hasil penelitian diketahui bahwa nilai P-Value sebesar 0,000. Karena nilai P-Value kurang dari 0,05 maka H0 ditolak. Hal ini menunjukkan bahwa terdapat perbedaan yang signifikan antara kemampuan menulis literasi ilmiah peserta didik yang menggunakan model pembelajaran Treffinger berbasis Reading Aloud dengan kemampuan menulis literasi ilmiah peserta didik yang menggunakan model pembelajaran konvensional.
Arctic territory as the national patrimony of Russia in the modern world
Authors: Orlov S. L. , Stroev P. V. , Dudnik A. I.
Published: December 2021

Objective: to present the development features of the most important geostrategic territory of Russia on the basis of historical understanding, taking into account the ongoing climatic changes and analyzing the initial stage of active entry into the Arctic. Methods: the cognitive and partly debatable nature of the research determined the use of such methods of cognition as historical, which allows us to consider various types of activities over a certain period and draw conclusions about the beginning of the active phase of research and development of the Arctic over the last century; empirical, and logical methods, including analysis, comparison, and data summarization.

Results: the tasks of improving the territorial structure of the economy, as well as the ongoing transformation of the national space of the country in order to develop remote regions require practical and scientific understanding in order to maximize their effectiveness. The article analyzes the key regulations in the field of Arctic development, as well as scientific research on this issue. On their basis, the genesis of the most important stages of the modern development of the Arctic is presented, which contributes to strengthening the priority status of this geostrategic macro-region of Russia. It is determined that the economic development of the Arctic should be combined with a strong protection of national interests, as well as with a state support system.

Scientific novelty: consists in the formation of a chronology of the main directions of the state’s practical activities over the past decade, which contributed to implementing the main goal of modern transformations in the Arctic, which is to protect national interests, national priorities and involve the remote, hard-to-reach and sparsely populated territories into economic turnover.

Practical significance: the study results can be used to develop a strategy for the development of the Arctic regions, and can serve as the basis for further scientific research.
Digitalization of the monetary-credit system: institutional and regulative aspects
Authors: Tikhonov A. O. , Yuzefalchik I. V.
Published: December 2021

Objective: to consider the institutional and regulatory aspects of digitalization, to reveal the institutional features of the digital monetary-credit system, to classify the digitalization models, to describe the phenomenon of the central bank digital currencies, to consider the main trends in the regulation development, and to propose improvements in the monetary systems regulation.

Methods: methods of systematization, classification, analysis and synthesis were used in the work.

Results: it was shown that the monetary systems digitalization is characterized by signifi   changes not only in the organizational and technological aspects, but also in the institutional and regulatory ones. They affect both the functioning features of the monetary system subjects and the methods of conducting operations, as well as the role and tasks of the financial regulators. It is marked that the monetary system long-term institutional development is characterized by the formation of a new digital investment and finance space, which is expressed in the change in the transaction costs structure, the formation of new institutional qualities of the monetary system, the emergence of new types of risks, the transformation of the existing and emergence of new players, due to the active introduction of digital financial technologies. The influence of digital transformation models on changes in the regulatory environment is analyzed, which implies a change in both approaches to regulating the activities of financial service providers and the role of regulators. The main models of monetary systems regulation are also analyzed.

Scientific novelty: consists in identifying and systematizing the main institutional aspects of digital currencies development and determining the digital image of the financial and credit sector of the economy. As a result of the study, the main measures aimed at managing the process of monetary systems digitalization are formulated.

Practical significance: the main proposals based on the study results can be used by financial regulators in the development of measures for the financial market development and the monetary system digitalization; systematization of regulatory models and digitalization models can be used by higher educational institutions to design the appropriate programs for retraining and advanced training of specialists in the field of finance.
Review of the monograph “O. Yu. Dyagel. Analytical procedures of anticrisis management: monograph. Krasnoyarsk: Sibirial Federal University, 2020. 268 p.”.
Authors: Manushin D. V. , Kramin T. V.
Published: December 2021

Objective: to conduct a detailed and complete analysis of a monograph by O. Yu. Dyagel2, which is devoted to the study of a wide range of issues related to analytical procedures of crisis management.

Methods: the basic techniques of the abstract-logical method were used (analysis and synthesis, analogy, generalization, comparison, transition from abstract to concrete, etc.).

Results: the leading line of this work is the differentiation of analytical procedures for crisis management, which implies a further standardization of individual diagnostics of enterprises’ financial condition. The reviewers emphasize the importance of the approaches to diagnosing the enterprises’ financial insolvency, systematized in the monograph.

The reviewers assess the grouping of the author's approaches in the implementation of analytical procedures for crisis management, starting with preventive crisis management and ending with arbitration management.

Scientific novelty: a new promising direction of financial analysis has been identified: standardization of an individual financial analysis based on specific groups of financial indicators suitable for a specific enterprise and its situation.

Practical significance: the reviewers concluded that O. Yu. Dyagel’s monographic study contains examples of the practical application of the theoretical, methodological and regulatory approaches studied by the author, which significantly increases the possibility of their application in practice.
Velocity Map Imaging VUV Angle-Resolved Photoelectron Spectroscopy of Isolated Silver Sulfide Nanoparticles
Authors: Danilović Danijela , Bozanic Dusan , Garcia Gustavo A. , Nahon Laurent , Stamenović Una , Vodnik Vesna , Djoković Vladimir
Published: December 2021

The angle-resolved photoelectron spectroscopy of isolated silver sulfide nanoparticles was carried out by using velocity map imaging technique at the DESIRS beamline of SOLEIL synchrotron facility. The reported spectroscopy results were obtained after interaction of the synchrotron radiation with a polydisperse aerosol produced from aqueous dispersion of silver sulfide particles, approximately 16 nm in diameter. The photoelectron and UV-Vis-NIR absorption spectra were used to estimate the maximum energy of the valance- and the minimum energy of the conduction-band of the nanoparticles. With respect to the vacuum level, the obtained values were found to be 5.5±0.1 eV and 4.5±0.1 eV for the valence band maximum and conduction band minimum, respectively. The dependence of the asymmetry parameter on the electron energy along the silver sulfide valence band showed an onset of inelastic scattering at ~1 eV electron kinetic energy.
Encoder Lipschitz Integers: The Lipschitz integers that have the ”division with small remainder” property
Authors: Duran Ramazan , Güzeltepe Murat
Published: December 2021

The residue class set of a Lipschitz integer is constructed by modulo function with primitive Lipschitz integer whose norm is a prime integer, i.e. prime Lipschitz integer. In this study, we consider primitive Lipschitz integer whose norm is both a prime integer and not a prime integer. If the norm of each element of the residue class set of a Lipschitz integer is less than the norm of the primitive Lipschitz integer used to construct the residue class set of the Lipschitz integer, then, the Euclid division algorithm works for this primitive Lipschitz integer. The Euclid division algorithm always works for prime Lipschitz integers. In other words, the prime Lipschitz integers have the ”division with small remainder” property. However, this property is ignored in some studies that have a constructed Lipschitz residue class set that lies on primitive Lipschitz integers whose norm is not a prime integer. In this study, we solve this problem by defining Lipschitz integers that have the ”division with small remainder” property, namely, encoder Lipschitz integers set. Therefore, we can define appropriate metrics for codes over Lipschitz integers. Also, we investigate the performances of Lipschitz signal constellations (the left residue class set) obtained by modulo function with Lipschitz integers, which have the ”division with small remainder” property, over the additive white Gaussian noise (AWGN) channel by agency of the constellation figure of merit (CFM), average energy, and signal-to-noise ratio (SNR).
Exploring the Value of Using Patient-Oriented MRI Reports in Clinical Practice
Authors: Perlis Nathan , Finelli Antonio , Lovas Mike , Lund Alexis , Meo Amelia Di , Lajkosz Katherine , Berlin Alejandro , Papadakos Janet , Ghai Sangeet , Deniffel Dominik , Meng Eric , Wiljer David , Alibhai Shabbir , Bakas Vasiliki , Badzynski Adam , Lee Odelia , Cafazzo Joseph , Haider Masoom
Published: December 2021

Purpose

Standard radiology reports (SRR) are designed to communicate information between doctors. With many patients having instantaneous access to SRRs on patient portals, interpretation without guidance from doctors can cause anxiety and panic. We designed a patient-centred prostate MRI template report (PACERR) to address some of these challenges and tested whether PACERRs improve patient knowledge and experience.
Materials and Methods

Patients booked for clinical prostate MRI were randomly assigned to SRR or SRR + PACERR. Questionnaires included multiple-choice that targeted 4 domains (understanding, usefulness, next steps, emotional experience) hypothesized to improve with patient-centred reports and short answer questions, testing knowledge regarding MRI results. Clinical encounters were observed and recorded to explore whether adding PACERR improved communication. Likert scaled-responses and short-answer questions were compared using Mann-Whitney U test and Kruskal-Wallis test.
Results

Of the 40 participants, the majority were MRI naïve (70%). Patients receiving a PACERR had higher scores in the categories of patient understanding (mean: 4.17 vs. 3.39, p=0.006), usefulness (mean: 4.58 vs. 3.07, p<0.001), and identifying next steps (mean: 1.89 vs. 3.03, p=0.003) but not emotional experience (mean: 4.18 vs. 3.79, p=0.22). PACERR participants found the layout and design more patient friendly (mean: 4.47 vs. 2.61, p<0.001) and easier to understand (mean: 4.37 vs. 2.38, p<0.001). In the knowledge section, overall, the PACERR arm scored better (87% vs. 56%, p=0.004).
Conclusion

With the addition of Prostate MRI PACERR, participants had better understanding of their results and felt more prepared to involve themselves in discussions with their doctor.
Clinical Features and Ultrasound Findings of a Rare Musculoskeletal System Disease--neuromuscular Choristomas
Authors: Guo Wen , Wang Hong , Chen Tao , Yang Wei , Wang Shu-Feng , Chen Shan-Lin
Published: December 2021

Background: Neuromuscular choristomas (NMCs) as exquisitely rare developmental lesions have previously been established associated with recurrent fibromatosis after surgery, led to multiple operations, or even amputation. Yet, the report about ultrasound imaging features and clinical conditions of NMCs was rare. The purpose of this study was to describe the ultrasound features and clinical analysis of NMCs to provide suggestions to the optimal management strategy.Methods: From 2020 September to 2021 September, 7 patients with a confirmed diagnosis of NMC who underwent ultrasound examination in our department were enrolled into our study. Physical examinations were performed to detect motor deficit, sensory deficit, neuropathic pain, limb undergrowth, muscular atrophy, cavus foot and bone dysplasia. Ultrasound imaging were performed and investigated in both involved nerve and neuromuscular choristomas associated desmoid-type fibromatosis (NMC-DTF). All patients had a definite history and regular follow up. The clinical course, physical examinations, ultrasound features and pathologic results of NMC patients were analyzed.Results: Seven patients with an average age of 7.0±7.2 years (range: 2-22 years) were enrolled into our study. Nerves involved included the sciatic nerve (6 cases) and the brachial plexus (1 case). 6 patients (85.7%) presented with manifestations of limb undergrowth, 6 (85.7%) with muscular atrophy, and 5 (71.4%) with cavus foot deformity. Based upon ultrasound findings, all visible involved nerve segments presented with hypoechoic and fusiform enlargement with intraneural skeletal muscle elements. Five patients (71.4%) had NMC-DTFs at the site of the affected nerve. All NMC-DTFs were shown as hypoechoic solid lesion adjacent to the nerve and well-circumscribed. In the subset of surgery group, all 5 patients presented with progression to NMC-DTFs at the site of the NMCs. No fibromatosis was detected in the other two non-surgery patients. Conclusions: Understanding of the typical ultrasound features and clinical associated conditions would help to early diagnose the rare disease. When a potential diagnosis is made, invasive procedure like biopsy or resection might be not a good choice given frequent complication by aggressive recurrence.
Public Attitudes Towards Sharing Loyalty Card Data for Academic Health Research: a Qualitative Study
Authors: Dolan Elizabeth H , Shiells Kate , Goulding James , Skatova Anya
Published: December 2021

Background: A growing number of studies show the potential of loyalty card data for use in health research. However, research into public perceptions of using this data is limited. This study aimed to investigate public attitudes towards donating loyalty card data for academic health research, and the safeguards the public would want to see implemented. The way in which participant attitudes varied according to whether loyalty card data would be used for either cancer or COVID-19 research was also examined. Methods: Participants (N=40) were recruited via Prolific Academic to take part in semi-structured telephone interviews, with questions focused on data sharing related to either COVID-19 or ovarian/bowel cancer as the proposed health condition to be researched. Content analysis was used to identify sub-themes corresponding to the two a priori themes, attitudes and safeguards.Results: Participant attitudes were found to fall into two categories, either rational or emotional. Under rational, most participants were in favour of sharing loyalty card data. Support of health research was seen as an important reason to donate such data, with loyalty card logs being considered as already within the public domain. With increased understanding of research purpose, participants expressed higher willingness to donate data. Within the emotional category, participants shared fears about revealing location information and of third parties obtaining their data. With regards to safeguards, participants described the importance of anonymisation and the level of data detail; the control, convenience and choice they desired in sharing data; and the need for transparency and data security. The change in hypothetical purpose of the data sharing, from Covid-19 to cancer research, had no impact on participants’ decision to donate, although did affect their understanding of how loyalty card data could be used. Conclusions: Based on interviews with the public, this study contributes recommendations for those researchers and the wider policy community seeking to obtain loyalty card data for health research. Whilst participants were largely in favour of donating loyalty card data for academic health research, information, choice and appropriate safeguards are all exposed as prerequisites upon which decisions are made.
The Impact of COVID-19 on Individual Oral Health: A Protocol for a Systematic Scoping Review
Authors: Dickson-Swift Virginia , Knevel Ron , Kangutkar Teejeshere
Published: December 2021

Poor oral health continues to be one of the most prevalent non-communicable diseases (NCDs) worldwide consuming one-fifth of out-of-pocket health expenditure [1-3]. In 2017, it was estimated that oral diseases affect close to 3.5 billion people worldwide, with caries (dental decay) of permanent teeth being the most common condition [4]. It is estimated that 44% of all people worldwide are suffering from untreated caries in primary and permanent teeth [5]. International data indicates that dental caries is one of the most prevalent health conditions [6-8] and a leading cause of preventable hospitalization [6]. Poor oral health is also associated with a number of other chronic diseases including stroke and cardiovascular disease [9, 10]. People’s ability to look after their oral health is impacted by a range of social, economic, environmental and political determinants [11] and the impact of COVID-19 on oral health is hypothesised to be significant.
Nitrogen Application Practices to Reduce Cd Concentration in Rice (Oryza Sativa L.) Grains
Authors: Zhou Qingyun , Wang Hui , Xu Chao , Zheng Shen , Wu Meiyan , Zhang Quan , Liao Yulin , Zhu Hanhua , Zhu Qihong , Huang Daoyou
Published: December 2021

Cd pollution in paddy soils creates challenges in rice grain production, thereby threatening food security. The effectiveness of different base-tillering-panicle urea application ratio and the combined basal application of urea and Chinese milk vetch (CMV, Astragalus sinicus L.) in minimizing Cd accumulation in rice grains was explored in a Cd-contaminated acidic soil via a field experiment. The results indicated that under similar N application rates, an appropriate amount of urea applied at the panicle stage or the combined basal application of urea and CMV decreased Cd absorption by rice roots and its accumulation in rice grains, as compared with that of conventional N application (control). Furthermore, under a 3:4:3 base-tillering-panicle urea application ratio or for basal application of CMV at high levels, Cd concentrations in brown rice were significantly lower (40.7% and 34.1%, respectively) than that of control. Cd transport coefficient from root to straw was significantly higher than that of control when an appropriate amount of urea was applied at the panicle stage or urea and CMV were applied basally, whereas the Cd transport coefficient from straw to brown rice was relatively lower. Moreover, soil pH, or the concentrations of CEC and CaCl2-Cd under different N fertilizer treatment was not significantly different. However, rice grain yield increased by 29.4% with basal application of a high amount of CMV compared with that of control. An appropriate amount of urea applied at the panicle stage or the combined basal application of urea and CMV decreased Cd absorption by rice roots and inhibited its transport from straw to brown rice, thus reducing Cd concentration in brown rice. Therefore, combined with the key phase of Cd accumulation in rice, a reasonable urea application ratio or a basal application of high amounts of CMV can effectively reduce Cd concentration in brown rice.
Electrochemical Degradation of Carbamazepine: A Case Study of Quantification of “10, 11 Dihydro-10 Hydroxy Carbamazepine And 10, 11-Epoxycarbamazepine” As The Main By-Products Using LC-TOF/MS.
Authors: Mussa Zainab Haider , Al-Qaim Fouad Fadhil
Published: December 2021

Carbamazepine (CBZ) is one of the most widely used antiepileptic drugs in Malaysia, so, it was detected in wastewater frequently. The electrochemical treatment process has been applied for the degradation of CBZ using graphite-PVC as an anode. However, two main by-products, namely, 10,11-dihydro10-hydroxy carbamazepine (HDX-CBZ) and 10,11-epoxycarbamazepine (EPX-CBZ) have been analysed and quantified using liquid chromatography-time of flight/mass spectrometry (LC-TOF/MS). HDX-CBZ and EPX-CBZ were analysed in positive ionisation mode and were separated chromatographically using 5 mm, 2 mm´150 mm C18 column at a flow rate of 0.3 mL/min. To improve sensitivity and detectability, SPE was applied as a pre-concentration step for the treated carbamazepine samples to extract and pre-concentrate HDX-CBZ and EPX-CBZ. However, three different solvents, namely, methyl tertiary butyl ether, acetone and methanol, have been optimized to enhance the recovery. The recovery was 85% and 92% for HDX-CBZ and EPX-CBZ, respectively, in the presence of methanol. The limit of quantification (LOQ) was 0.588 and 0.109 µg/L for both by-products, respectively. The concentration of HDX-CBZ and EPX-CBZ was 343 and 144 μg/L, respectively, after 20 min of treatment, then, it was decreased to 17.2 and 9.8 μg/L at 40 min. Finally, both by-products were eliminated after 60 min.
Mass Spectrometry-Based Identification of New Serum Biomarkers in Patients with Latent Infection Pulmonary Tuberculosis
Authors: Li Yan-Xia , Zheng Kang-Di , Duan Yu , Liu Hua-Juan , Tang Yu-Qun , Wu Jun , Lin Dong-Zi , Zhang Zhao
Published: December 2021

Background: To screen specific metabolic markers serum metabolic biomarkers which can achieve the main monitoring indicators to evaluate the development from latent infection to active tuberculosis infection, and analysis its underlying mechanisms and functions. Methods: Four groups of serum, including healthy control, latent infection, drug sensitivity (DS), and drug resistant tuberculosis, were collected. The metabolites in all serum samples were extracted by oscillatory, deproteinization, and then were detected by LC-MS/MS analysis. Normalization by Pareto-scaling method, the difference analysis was carried out by Metaboanalyst 4.0 software, one-way ANOVA analysis among groups showed that p-value ≤0.05 was regarded as a different metabolite. To clarify the dynamic changes and functions of differential metabolites with disease progression, and explore its significance and mechanism as a marker by further cluster analysis, functional enrichment analysis, and relative content change analysis of differential metabolites. Results: There were 565 significantly different metabolites in four groups. Differential metabolites, including Indole-3-acetaldehyde, Theophylline, Inosine and Prostaglandin H2, etc., may be the key serum biomarkers to diagnose the period of latent infection of Mycobacterium tuberculosis (M. tuberculosis). which was closely related to Amino acid metabolism, Biosynthesis of other secondary metabolites, Nucleotide metabolism, Endocrine system, Immune system, Lipid metabolism, and Nervous system. Conclusion: Indole-3-acetaldehyde, Theophylline, Inosine, and Prostaglandin H2, the 4 metabolites may be potential markers diagnosing the period of latent infection of M. tuberculosis. Meanwhile, Inosine and Prostaglandin E1 can become potential biomarkers for the diagnosis of latent infection, and Theophylline and Cotinine 1 can be used as potential markers to monitor disease progression, which established strategy provided promising clinical application prospects for the development of disease assessment by combining small molecule metabolic markers to improve the sensitivity and specificity of disease diagnosis.
The Fast Fixed-Time Bipartite Synchronization of Coupled Delayed Neural Networks with Signed Graphs
Authors: Yang Shiju , Li Chuandong , Li Yu , Yang Ting , Li Bo
Published: December 2021

In this paper, the fixed-time bipartite synchronization problem for coupled delayed neural networks with signed graphs is discussed. Different from traditional neural networks, the interactions between nodes of delayed neural networks can be either collaborative or antagonistic. Furthermore, compared with the initial-condition based finite-time synchronization, the settling time is bounded by a constant within fixedtime regardless of the initial condition. It is worth noting that the fixed-time stable network for bipartite synchronization in this paper achieves more faster convergence than most existing publications. By applying constructing comparison system method, Lyapunov stability theory and inequality techniques, some sufficient criteria for fixed-time bipartite synchronization are obtained. Finally, two numerical examples are granted to display the performance of the obtained results.