bluuebunny/crossref_metadata_2025 huggingface dataset:
Prospects of Yield Enhancement in Greenhouse Cultivation through IoT based Micro-climate Management
Authors: Goswami Bijaylakhmi , Pariyar Biju
Published: October 2022

The dynamic behaviour of the greenhouse micro-climate plays a major role in the productivity of a plant crop. Maintaining an optimum microclimate is a prerequisite for higher crop production. Unscientific manual monitoring and resultant faulty treatments lead to a suboptimal yield. To this effect, an experiment was conducted in 5 nos. of Gerbera greenhouses in which Agrithink’s Smart Micro-climate Monitoring and Control System (a patented system) was installed. Another 5 normally maintained Gerbera greenhouses of uniform dimensions and specifications were taken for comparative analysis. The study lasting a year revealed that all the plant characteristics, and the yields in the greenhouses equipped with Smart Micro-climate Monitoring and Control System (SMMCS), were significantly superior over normally maintained(NM) greenhouses. The sale of Gerbera from the first case with SMMCS also showed a highly significant return over the return from normally maintained greenhouses.
Effect of Sources and Levels of Sulphur on Bolter and Doubles Percent in Onion (Allium cepa L.)
Authors: Vivek Bhoite , Backiyavathy M. R. , Prajkta Metkari
Published: October 2022

An experiment was conducted to study the effect of different sources and levels of sulphur on growth, yield and quality parameters of onion at ICAR-National Institute On Abiotic Stress Management, Baramati, Pune, Maharashtra. The treatments made up of three incremental doses of sulphur application (30, 45 and 60 kg S ha-1) and no sulphur application (control, 0 kg S ha-1). Sources of sulphur (Elemental sulphur- Bentonite clay, Potassium schoenite and ammonium sulphate). The experiment was laid out in RBD design with three replications and fourteen treatments. Other fertilizers were applied according to recommended doses. The results showed that the double and bolter percentage was significantly higher in RDF + sulphur @ 30 kg ha-1 as elemental sulphur soil application (2.96 and 1.14%) and statistically on par with absolute control (2.64 and 1.52%). The treatment RDF + sulphur @ 45 and 60 kg ha-1 as potassium schoenite-Nutripellet pack recorded significantly less per cent doubles (0.99 and 1.29 %) followed by RDF + 45 and 60 kg ha-1 as potassium schoenite soil application (1.44 and 1.48%).
Redox Homeostasis and Nitro-Oxidative Stress in Obesity-Linked Inflammation
Authors: Treiber Guillaume , Samouda Hanen , Nobécourt Estelle , Bottari Serge P.
Published: October 2022

It is now well accepted that most chronic diseases have a common feature which is “low-grade” inflammation. Whether inflammation is causal or rather consequent to these diseases is still a matter of debate. A key factor of inflammation is considered to be “oxidative stress”, which is the result of an alteration of redox homeostasis which is critical for the regulation of physiological cell and organ metabolism and proliferation. The term “oxidative stress” is how-ever often used in an inappropriate manner as the primary target of the initial oxidative radical, superoxide ion, is nitric oxide which, being in large excess, acts as a “buffer”, yielding reactive nitrogen species. It is only once the superoxide fluxes exceed the nitric oxide fluxes that true “oxidative stress” occurs. Nitro-oxidative stress is a more appropriate term which takes into account the evolving generation of reactive nitrogen and oxygen species and their effects on cell and organ pathophysiology. The molecular bases of redox homeostasis and nitro-oxidative stress will be presented and discussed using obesity-linked inflammation as a path-ophysiological example.
The Molecular Interplay between Human Oncoviruses and Telomerase in Cancer Development
Authors: Tornesello Maria Lina , Cerasuolo Andrea , Starita Noemy , Tornesello Anna Lucia , Bonelli Patrizia , Tuccillo Franca Maria , Buonaguro Luigi , Isaguliants Maria G , Buonaguro Franco M.
Published: October 2022

Human oncoviruses are able to subvert telomerase function in cancer cells through multiple strategies. The activity of the catalytic subunit of telomerase (TERT) is commonly enhanced in virus-related cancers. Viral oncoproteins, such as high-risk human papillomavirus (HPV) E6, Epstein-Barr virus (EBV) LMP1, Kaposi sarcoma-associated herpesvirus (HHV-8) LANA, hepatitis B virus (HBV) HBVx, hepatitis C virus (HCV) core protein and human T-cell leukemia virus-1 (HTLV-1) tax protein, interact with regulatory elements in the infected cells and contribute to the transcriptional activation of TERT gene. Specifically, viral oncoproteins have been shown to bind TERT promoter, to induce post-transcriptional alterations of TERT mRNA and to cause epigenetic modifications, which have important effects on the regulation of telomeric and extra-telomeric functions of the telomerase. Other viruses, such as herpesviruses, operate by integrating their genomes within the telomeres or by inducing alternative lengthening of telomeres (ALT) in non-ALT cells. In this review, we recapitulate recent findings on virus-telomerase/telomeres interplay and the importance of TERT-related oncogenic pathways activated by cancer causing viruses.
Innate Immunity in Cardiovascular Diseases – Identification of Novel Molecular Players and Targets
Authors: Poller Wolfgang , Heidecker Bettina , Ammirati Enrico , Kuss Andreas W , Tzvetkova Ana , Poller Wolfram C , Skurk Carsten , Haghikia Arash
Published: October 2022

During the past few years unexpected developments have driven studies in the field of clinical immunology. One driver of immense impact was the outbreak of a pandemic caused by the novel virus SARS-CoV-2. Excellent recent reviews address diverse aspects of immunological re-search into cardiovascular diseases. Here, we specifically focus on selected studies taking ad-vantage of advanced state-of-the-art molecular genetic methods ranging from genome-wide epi/transcriptome mapping and variant scanning to optogenetics and chemogenetics. First, we discuss emerging clinical relevance of advanced diagnostics for cardiovascular diseases - includ-ing those associated with COVID-19 - with a focus on the role of inflammation in cardiomyopa-thies and arrhythmias. Second, we consider newly identified immunological interactions at or-gan and systems level which affect cardiovascular pathogenesis. Thus, studies into immune in-fluences arising from the intestinal system are moving towards therapeutic exploitation. Fur-ther, powerful new research tools have enabled novel insight into brain – immune system inter-actions at unprecedented resolution. This latter line of investigation emphasizes the strength of influence of emotional stress - acting through defined brain regions - upon viral and cardiovas-cular disorders. Several challenges need to be overcome before the full impact of these far-reaching new findings will hit the clinical arena.
The Upgraded Planck System of Units
Authors: Christodoulou Dimitris M. , Kazanas Demosthenes
Published: October 2022

Natural systems of units $\{U_i\}$ need to be overhauled to include the dimensionless coupling constants $\{\upalpha_{U_i}\}$ of the natural forces. Otherwise, they cannot quantify all forces in a unified manner. Thus, each force must furnish a system with at least one dimensional and one dimensionless constant. We revisit three natural systems of units (atomic, cosmological, and Planck). The Planck system is easier to rectify, and we do so in this work. The atomic system discounts $\{ G, \upalpha_G \}$, thus it cannot account for gravitation. The cosmological system discounts $\{ \slashed{h}, \upalpha_\slashed{h} \}$, thus it cannot account for quantum physics. Here, the symbols have their usual meanings; in particular, $\upalpha_G$ is the gravitational coupling constant and $\upalpha_\slashed{h}$ is the fine-structure constant. The speed of light $c$ and the impedance of free space $Z_0$ are resistive properties of the vacuum, thus they must be present in all systems of units. The upgraded Planck system $${\rm UPS} \,:=\,\{ c, Z_0, G, \upalpha_G, \slashed{h}, \upalpha_\slashed{h}, \,\dots\,\!\},$$ describes all physical scales in the universe---it is nature's system of units. As such, it reveals a number of properties, most of which have been encountered previously in seemingly disjoint parts of physics, and some of which have been designated as mere coincidences. Based on the UPS results, that relate (sub)atomic scales to the Planck scale and the fine-structure constant to the Higgs field, we can state with confidence that no observed/measured physical properties are coincidental in this universe.
REPAIR OF THE WEAR OF THE MILLS WITH PNTM WHEN PROCESSING THE ABRASIVE POLYMERIC COMPOUND
Authors: Manovitsky Oleksandr , Klimenko Sergiy , Manokhin Andriy
Published: October 2022

In the article, the results of the analysis of wear and tear of face milling cutters, equipped with an abrasive polymer compound, which are composed of quartz fine-grained sand and epoxy-diane resin, are shown. It has been established that the prevailing mechanism of tool wear during the processing of such a composite is abrasive wear. The reliability of the characteristics of wear and tear resistance of the cutting tool in the form of a sharpness of cutting was assessed.
MODEL OF FORMING AUXILIARY MACHINE-HAND TECHNOLOGICAL OPERATIONS
Authors: Shelkovoy Oleksandr , Hasanov Magomedemin Isamagomedovich , Zakovorotnіy Oleksandr , Hlavcheva Yuliia , Letiuk Valerii , Fedeniuk Dmytro
Published: October 2022

In the article the mathematical model of forming of sequence  of auxiliary machine-hand technological operations  is considered at treatment of wares on metal-cutting machine tools with the use of hand labour, built on semantic networks  and intended for building in the simulation models of the productive system. Basic pre-conditions of creation of model of forming of auxiliary machine-hand technological operations (MF FAMTO) are considered in the article. Scientific bases of model of MF FAMTO are set forth. Resulted chart of calculation of indexes of FAMTO and algorithm of forming of sequence of implementation of auxiliary transitions. In the system MathСad 15 presented model of forming of FAMTO and test example. The offered model can be used for forming and calculation of elements technological process with the large stake of the use of hand labour. On an example, in building of turbines, aircraft building, at making of heavy metal-cutting machine tools and other
INCREASING THE DURABILITY OF CENTRIFUGAL PUMP SHAFTS BY COMBINED METHODS
Authors: Tarelnyk Viacheslav , Pirogov Viktor
Published: October 2022

The article analyzes the literature, which showed that in recent years there have been new technological methods of strengthening the surface layers of the centrifugal pumps shafts necks. They are based on the use of environmentally friendly method of electrospark alloying (ESA) (cementation, application of combined coatings with molybdenum disulfide (MoS2), coatings of Al-C-B) and without comparative tests for wear resistance is difficult to prefer one method or another. Studies on the friction machine СМЦ -2 found that the weight wear of round specimens of polished steel 40X, in contact with lubrication of turbine oil T-22 with babbitt inserts of the sliding bearing according to the scheme "disk-insert", 1.15 times greater than steel 30X13 and, respectively, 2.50 and 4.41 times than 40X steel after cementation by ESA (CESA) + non-abrasive ultrasonic finishing (NAUF) and ESA (Mo + S) + NAUF. In turn, the linear wear of polished steel 40X round samples is greater than steel 30X13 1.09 times and, respectively, 2.83 and 5.85 times than steel 40X after CESA + NAUF and ESA (Mo + S) + NAUF. The lowest coefficient of friction was recognized as 0.025 and 0.030, which belongs to the coating of MoS2, formed, respectively, on samples of steel 30X13 and 40X and treated with NAUF.

Analysis of the linear wear change nature of steel 40X and 30X13 round samples, both hardened and not hardened, showed that all samples first have more intense wear, which after 2 hours of abrasion slows down, becomes more stable and at first glance resembles exponential dependence. Samples reinforced in the sequence ESA (Mo + S) + NAUF have the best wear resistance, the wear of which after 8 h of tests is 0.9 and 1.1 μm, respectively, of steel 30X13 and 40X.

Weight and linear wear of 40X steel specimens without hardening is higher compared to non-reinforced 30X13 steel specimens tested in pair with BK8 counterbody under conditions of abundant lubrication with I40A industrial oil, by 21.7 and 14.2%, respectively; in comparison with samples of 40X steel with a coating applied by the method of ESA composition (Al-C-B) followed by NAUF, respectively, 77.8 and 84.7%; and 30X13 steel with similar treatment of ESA (Al-C-B) + NAUF, 98.0 and 71.8%, respectively.
INTENSIFICATION OF THE SINTERING PROCESS OF CERAMIC MATERIALS BASED ON THE BaO – Al2O3 – SiO 2 SYSTEM
Authors: Lisachuk Georgiy , Kryvobok Ruslan , Voloshchuk Valentyna
Published: October 2022

The article examines the effect of additives on the intensification of the sintering process of ceramic materials based on the BaO – Al2O3 – SiO2 system. Taking into account different mechanisms of interaction of additives with the main matrix, modifiers – MgO, Cr2O3, ZrSiO4, TiO2 and mineralizers – CaCO3, B2O3, MoO3, SnO2 : Li2O were selected for research. On the basis of the conducted complex of studies, it was established that the most promising intensifier for the celsian sintering process is the eutectic additive SnO2 : Li2O in the amount of 1 wt.% with the following characteristics: water absorption – 5.1%, porosity – 13.4%, apparent density – 2.62 g/cm3. The results of the X-ray phase analysis show that the celsian synthesis reaction is complete at a synthesis temperature of 1200 °С, which is a confirmation of a decrease in the synthesis temperature of the phase by 100 °С. The obtained celsian ceramics meet the requirements for radio-transparent materials and can be used for the manufacture of individual parts in the aerospace industry.
EXAMPLES OF INFORMATION TECHNOLOGIES FOR RECONSTRUCTION FROM THE DATA OF THE SPECTRUM OF SOME CLASSES OF RANDOM FUNCTIONS
Authors: Prishchenko Olga , Cheremskaya Nadezhda , Bukhkalo Svetlana
Published: October 2022

It is known that a stationary random process is represented as a superposition of harmonic oscillations with real frequencies and uncorrelated amplitudes. In the study of nonstationary processes, it is natural to have increasing or declining oscillationсs. This raises the problem of constructing algorithms that would allow constructing broad classes of nonstationary processes from elementary nonstationary random processes. A natural generalization of the concept of the spectrum of a nonstationary random process is the transition from the real spectrum in the case of stationary to a complex or infinite multiple spectrum in the nonstationary case. There is also the problem of describing within the correlation theory of random processes in which the spectrum has no analogues in the case of stationary random processes, namely, the spectrum point is real, but it has infinite multiplicity for the operator image of the corresponding operator, and when the spectrum itself is complex. Reconstruction of the complex spectrum of a nonstationary random function is a very important problem in both theoretical and applied aspects. In the paper the procedure of reconstruction of random process, sequence, field from a spectrum for Gaussian random functions is developed. Compared to the stationary case, there are wider possibilities, for example, the construction of a nonstationary random process with a real spectrum, which has infinite multiplicity and which can be distributed over the entire finite segment of the real axis. The presence of such a spectrum leads, in contrast to the case of a stationary random process, to the appearance of new components in the spectral decomposition of random functions that correspond to the internal states of "strings", i.e. generated by solutions of systems of equations in partial derivatives of hyperbolic type. The paper deals with various cases of the spectrum of a non-self-adjoint operator A, namely, the case of a discrete spectrum and the case of a continuous spectrum, which is located on a finite segment of the real axis, which is the range of values of the real non-decreasing function a (x). The cases a (x) = 0, a (x) = const, a (x) = x and a (x) is a piecewise constant function are studied. The authors consider the recovery of nonstationary sequences for different cases of the spectrum of a non-self-adjoint operator A promising since spectral decompositions are a superposition of discrete or continuous internal states of oscillators with complex frequencies and uncorrelated amplitudes and therefore have deep physical meaning.
NITRATE CONTENT IN VEGETABLES IN WATER-INRATED WATER BODIES OF THE NORTHERN AND INGULETSKY GOK
Authors: Chernushenko Elena , Cherniavska Anna , Hrechyshkina Mariia
Published: October 2022

The content of nitrates in vegetables is a rather urgent problem and is of interest to structures that control and regulate the possible consequences of an excessive amount of nitrates for human health. The main causes and features of food pollution are shown: irrigation of fields with water containing wastewater from industrial enterprises, excessive and uncontrolled use of fertilizers, conditions for growing vegetables and seasonality.The process of environmental pollution with nitrates, in particular, surface water resources, is considered. An analysis of the suitability of surface water for irrigation was carried out near the villages of Andreevka, Shevchenkovskoye, Zavyalovka, Annensky quarry and Ternovsky district of Krivoy Rog and showed that the content of nitrates does not exceed the MPC. The reasons for the accumulation of nitrates in plant products are shown. The transformations of nitrate ions and their toxic effect on the human body are given. The paper also outlines the main ways to reduce the content of nitrates in crop production. A quantitative analysis of nitrate ions in vegetable raw materials in the spring-autumn period was carried out: cucumbers, cabbage, potatoes, tomatoes, carrots and onions by the iodometric method, the express method based on the use of a diphenylamine reagent and the express method. method using the GreenTest nitrate tester, grown on the territory near such enterprises as the Northern and Ingulets GOK. The content of nitrates exceeds MPC in early potatoes and tomatoes.
EXAMPLES OF DETERMINING THE COMPONENTS OF INFORMATION AND COMPUTATION TECHNOLOGIES FOR DIFFERENT INDUSTRIES
Authors: Kravchenko Victoria , Bukhkalo Svetlana , Iglin Sergii
Published: October 2022

The possibilities of using the technology of information computer systems in varieties of examples and tasks of teaching students are considered. The work presents examples of the formation of complex knowledge about the principles of construction and operation of the software for determining the possibilities of effective use of modern information and communication technologies in the professional activity of a technologist according to the types of specialization of students starting from the first year of study. Carried out and analyzed: analysis of the components of information systems by types of activities; examples of business processes of the selected subject area, the definition of business functions and business processes, and problem statement. The requirements for the information system and the definition of functional requirements for the information system have been developed. Criteria for logical and physical modeling of databases are defined; UML modeling of the client part of the information system is developed. The requirements for the functions of the server part and the interface of the client part of the information system were developed, the possibilities of design solutions were described, the interface of the client part of the system was developed, and a database for the selected platform was created; the means of storing procedures, the functions of the server part of the information system (ІС) and the interface of the client part of the ІС, etc. were developed. The mathematical justifications of the applied algorithm are described, and the necessary conclusions are drawn.
INFORMATION TECHNOLOGIES AND MATHEMATICAL MODELING IN EDUCATION OF STUDENTS OF NTU «KHPI» IN EMERGENCY CONDITIONS AND SURVIVAL SITUATIONS
Authors: Bukhkalo Svetlana , Kravchenko Victoria , Komirny Ruslan
Published: October 2022

The materials of the article consider the possibilities of determining and applying the components of information and computing technologies for various specialties of student education. The work presents examples of the formation of complex knowledge about the principles of construction and operation of the software for determining the possibilities of effective use of modern information and communication technologies in the professional activity of a technologist according to the types of specialization of students starting from the first year of study. When writing the article, many years of experience in teaching the disciplines «General Food Industry Technology» and «Mathematical Modeling and Optimization of Chemical Technology Objects» at the National Technical University «Kharkiv Polytechnic Institute» at the Department of Integrated Technologies, Processes and Devices were used. This experience and good knowledge of the subject determined the high quality of the material for teaching the discipline, and the issues under consideration are overlooked through the prism of one's own creative perception, which makes the material particularly valuable. Developments were carried out using modern, highly effective scientifically based technologies for the use of raw materials, examples and some features of possible learning solutions are presented, which are based on experimental data for the development of process mechanisms and their scientific justification in the form of information technology objects; detailed and analyzed: components of information systems by types of activity;
THE INFLUENCE OF FINANCIAL DISTRESS, CASH HOLDINGS, AND PROFITABILITY TOWARD EARNINGS MANAGEMENT WITH INTERNAL CONTROL AS A MODERATING VARIABLE: THE CASE OF
Authors:   Universitas Pelita Harapan, Putri Maya , Naibaho Eduard Ary Binsar ,   Universitas Pelita Harapan
Published: October 2022

This study aims to define and analyze the relationship between financial distress, cash holding, and profitability and earnings management with internal control as a moderating variable in relation to six major countries in Southeast Asia (Indonesia, Malaysia, Singapore, Thailand, Philippines, and Vietnam). Earnings management is measured by the Jones model of discretionary accruals. Secondary data sources are used, namely companies listed on the S&P Capital IQ, with 480 observations that fit the criteria. Purposive sampling techniques are employed, with a new sample of observational data from the consumer staples sectors in the six countries covering the period 2016-2020. ASEAN was chosen because of the lack of previous research using this as the research population. The data were processed using the Eviews 11 program. The theoretical basis used in the research is agency theory and signaling theory. The results indicate that financial distress and profitability positively affect earnings management, whereas cash holdings have a negative impact. The study also verifies that internal control as a moderating variable strengthens the negative impact of financial distress and profitability on earnings management, while strengthening the positive impact of cash holdings.
Assessing the Impact of COVID-19 on the 2021 Orthopaedic Surgery Match Outcomes
Authors: Maxson Ridge , Ghali Miriyam , Leland Christopher R. , Toci Gregory R. , McDaniel Claire , LaPorte Dawn M. , Aiyer Amiethab A.
Published: October 2022

Background:

The purpose of this study was to assess the influence of the COVID-19 pandemic on the 2021 orthopaedic surgery residency match outcomes. Because in-person away rotations and interviews were canceled during the 2020 to 2021 application cycle, we hypothesized that applicants would match at their home program at a higher rate in 2021 than in previous years.

Methods:

We queried allopathic orthopaedic surgery residency websites and social media accounts for names of residents and medical school information for cohorts matching from 2017 through 2021. To assess availability of and participation in virtual away rotations, we administered a survey to Accreditation Council for Graduate Medical Education–accredited allopathic orthopaedic surgery residency programs. The primary outcome was the annual proportion of applicants matching at the program affiliated with their medical school (“home program”). Subgroup analyses were stratified by Doximity reputation ranking and availability of a virtual away rotation.

Results:

We identified 2,632 residents who matched between 2017 and 2020 and 698 residents who matched in 2021. Overall home program match rate and likelihood of home matching were higher in 2021 compared with 2017 to 2020 (28% vs. 20%; odds ratio [OR] = 1.51, 95% confidence interval [CI] 1.24-1.82, p < 0.001). The increase in the home match rate at programs ranked in the top 30 (27% vs. 20%, p = 0.034) was similar to the increase at programs ranked outside the top 30 (28% vs. 20%, p < 0.001). Of the 66 (48%) programs that responded to the survey, 16 (24%) offered a virtual away rotation. Programs with a higher Doximity ranking were more likely than lower-ranked programs to offer a virtual away rotation (OR = 6.75, 95% CI 1.95-23.4, p = 0.003). Home match rates did not differ significantly between programs that offered a virtual away rotation and those that did not (26% vs. 32%, p = 0.271).

Conclusions:

A higher proportion of orthopaedic surgery residency applicants matched at their home program in 2021 compared with previous years. Limitations on in-person activities due to the COVID-19 pandemic may have contributed to this rise.

Level of Evidence:

N/A.
Blood Flow Restriction Therapy
Authors: Watson Richard , Sullivan Breanna , Stone Austin , Jacobs Cale , Malone Terry , Heebner Nicholas , Noehren Brian
Published: October 2022

» Blood flow restriction therapy (BFRT) involves the application of a pneumatic tourniquet cuff to the proximal portion of the arm or leg. This restricts arterial blood flow while occluding venous return, which creates a hypoxic environment that induces many physiologic adaptations.

» BFRT is especially useful in postoperative rehabilitation because it produces muscular hypertrophy and strength gains without the need for heavy-load exercises that are contraindicated after surgery.

» Low-load resistance training with BFRT may be preferable to low-load or high-load training alone because it leads to comparable increases in strength and hypertrophy, without inducing muscular edema or increasing pain.
Artificial Intelligence in Modern Orthopaedics
Authors: Hui Aaron T. , Alvandi Leila M. , Eleswarapu Ananth S. , Fornari Eric D.
Published: October 2022

» With increasing computing power, artificial intelligence (AI) has gained traction in all aspects of health care delivery. Orthopaedics is no exception because the influence of AI technology has become intricately linked with its advancement as evidenced by increasing interest and research.

» This review is written for the orthopaedic surgeon to develop a better understanding of the main clinical applications and potential benefits of AI within their day-to-day practice.

» A brief and easy-to-understand foundation for what AI is and the different terminology used within the literature is first provided, followed by a summary of the newest research on AI applications demonstrating increased accuracy and convenience in risk stratification, clinical decision-making support, and robotically assisted surgery.
Examination of Digital Literacy Levels of University Students
Authors: Kaya Halil İbrahim , Korucuk Murat
Published: October 2022

In this study, it was aimed to determine the digital literacy levels of university students. The study also aimed to examine the differentiation status of university students in terms of various variables of digital literacy levels. In addition, in the study, the digital literacy levels of university students were determined by gender, type of education (normal/secondary education), higher education level (associate / undergraduate/graduate), higher education program they are enrolled in, grade point average, class, average monthly income, social network with the most time spent. It is also aimed to examine the differentiation status in terms of the variables of average internet usage time during the day, the preferred tool for internet use, and the educational status of the parents. In this study, the survey model, which is one of the quantitative patterns, was used. The population of the study consisted of a total of 17,006 students, 11,500 undergraduate and 5,506 associate degree students, studying in 11 faculties, 4 colleges and 9 vocational colleges in the 2021-2022 academic year at a state university located in the Eastern Anatolia Region. The sample consisted of randomly selected 688 university students. The "Digital Literacy Scale" developed by Bayrakçı and Narmanlıoğlu in 2021 was used as a data collection tool. In the analysis process, nonparametric techniques were used since the data could not meet the assumptions of parametric techniques. As a result of the study, it was seen that the digital literacy levels of university students were low. In addition, it was concluded that there were statistically significant differences between university students' grade point averages, the social network they spend the most time on, the preferred tool in internet use, and the educational status of their parents and their digital literacy levels. Various suggestions were developed considering the results of the study.
Recidiva y movimiento dental involuntario después del tratamiento de ortodoncia en personas con retenedores fijos: Una revisión
Authors: Chacón-Moreno Alicia , Ramírez-Mejía María Jimena , Zorrilla-Mattos Ana Carolina
Published: October 2022

Los ortodoncistas deben informar completamente a los pacientes sobre las implicaciones del tratamiento de ortodoncia y la subsiguiente necesidad de retención. Esta revisión brinda una actualización sobre las recidivas, los movimientos no deseados y los diferentes factores que pueden causar la pérdida de estabilidad después del tratamiento de ortodoncia. Dado que es difícil predecir qué pacientes presentarán algún grado de pérdida de estabilidad después del tratamiento, es importante que sean tratados como si tuvieran un alto potencial de recaída. La presente revisión incluyó una búsqueda bibliográfica en las principales fuentes de revisión científica, incluyendo Medline vía PubMed, Scopus y la biblioteca Cochrane. La estrategia de búsqueda se llevó a cabo hasta el 5 de mayo de 2022. Solo 34 estudios cumplieron con los criterios de selección. Nuestros resultados mostraron que mantener los dientes en la posición correcta después del tratamiento de ortodoncia es un gran desafío para los ortodoncistas. La etiología de la recaída es compleja y aún no está claramente establecida. Su origen se atribuye a factores como el tiempo de reorganización del tejido gingival y periodontal, y a los cambios producidos por el crecimiento, comprometiendo la estabilidad de los resultados alcanzados con el tratamiento de ortodoncia. La fase de retención es necesaria después del tratamiento de ortodoncia para evitar la recaída o la pérdida de los resultados de oclusión obtenidos. Sin embargo, los retenedores fijos pueden inducir un movimiento dental no deseado que puede ocurrir a pesar de que estos retenedores estén colocados e intactos. Actualmente, no hay consenso entre los ortodoncistas con respecto al tipo de alambre ideal para la contención fija. Concluimos que la recidiva postratamiento de ortodoncia es el resultado de una regresión hacia la maloclusión original. Sin embargo, también pueden ocurrir cambios en la posición de los dientes que se consideran movimientos no deseados y tienen un origen multifactorial.
Graph Inductive Inference of Personalized Content for Out-of-matrix Users Via Content Baskets
Authors: Sun Michael , Wang Andrew
Published: October 2022

Guest users are common in real world applications, requiring industrial recommendation systems to handle the "cold start" problem, where no existing interactions between new users and recommendable items can be drawn from to make predictions. Prior work addresses this problem by learning profiling user representations to bootstrap recommendations for new users. However, this process can often be invasive, requiring new users to submit personal data, or shallow, yielding unexpressive representations for accurate recommendations. In this work, we propose new representations for guest users based on their ``content basket’'. A set of seed items is submitted by the user to use the service, allowing each user to be represented as a function of a collection of items. Simultaneously, we design a graph representation space, where items (nodes) are connected by edges that signify joint, written recommendations between items. We propose a graph neural network architecture that inductively learns item and inter-item (edge) representations as a combination of deep language encodings of textual content descriptions and graph embeddings learned via message passing on the edges. This enables effective generalization to items unseen during training. To evaluate our model and demonstrate a novel application, we present a new dataset for anime recommendations, AnimeULike, containing anonymized interactions between ~13k users and 10k animes, and the accompanying recommendation engine which can exclusively serve guest users. Our empirical results on AnimeULike and a standard recommender systems benchmark demonstrate significant performance improvements over previous cold start solutions that do not learn to dynamically represent new users.
Statistical modelling of precipitation data in Canadian Prairies with a dynamic mixture structure
Authors: Mazjini Maral , Bae Taehan
Published: October 2022

The present paper aims to model statistical structure of heavy-tailed precipitation data. In particular for agricultural purposes in Canadian Prairies, this is essential in many aspects such as assessing and managing risks resulting from the occurrence of unexpected precipitation events. Daily (or weekly) precipitation time series often contain many zeros (on dry days) and also exhibit important characteristics such as heavy-tailedness and volatility clustering. These features make it challenging to develop an effective model from both theoretical and practical viewpoints. In this paper, we propose a dynamic mixture model constructed based on a generalized Gaussian crack distribution with a GARCH specification to take into account the full range of precipitation measurements with a sufficient flexibility to fit both thin and heavy-tailed data, and stochastic volatility. The method of maximum likelihood estimation with the profile log-likelihood algorithm is illustrated with some simulation studies. The model fitting results on a historical data set from twelve stations in Canadian prairies show the applicability of the proposed model.
Data Driven Contagion Risk Management in Low- Income Countries: Machine Learning Applications with COVID-19 in South Asia
Authors: Shonchoy Abu , Mahzab Moogdho , Mahmood Towhid , Ali Manhal
Published: October 2022

Efforts to contain future pandemics (and epidemics) and managing their far-reaching adverse consequences require early warning systems, efficient planning, and targeted policy interventions. Lacking timely data with inadequate health capacity make resource-limited countries’ communicable disease management and planning difficult. We proposed a cost-effective and data-driven Contagion Risk Index (CR-Index) strategy founded on communicable disease spreadability vectors. Utilizing the daily district-level COVID-19 data (positive cases and deaths) from 2020–2022, we derived the CR-Index for South Asia (India, Pakistan, and Bangladesh) and identified potential infection hotspots, marked as "red zones" – aiding policymakers with efficient mitigation planning. Across the study period the week-by-week and fixed-effects regressions demonstrate a strong correlation between the proposed CR-Index and district-wise COVID-19 epidemiology data. We validated the CR-Index using machine learning methods by evaluating the out-of-sample predictive performance of the CR-Index. Machine learning driven validation shows strong predictive support for the CR-Index and can distinguish districts with high-risk COVID-19 cases/deaths for more than 85% of the time. Our proposed simple and replicable CR-Index is an easily interpretable tool that can help low-income countries to prioritize resource mobilization to contain the disease spread and associated crisis management, with global relevance and applicability.
Tropical Cyclone Tracking and Forecasting Using BiGRU [TCTFB]
Authors: Khandelwal Aryan , S Ramya R , S Ayushi , R Bhumika , P Adhoksh , Jhawar Keshav , Shah Ayush , R Venugopal K
Published: October 2022

Cyclones are one of the deadliest natural calamities capable of causing immense destruction. Knowing about natural disasters like cyclones in advancehelps in planning and preparations as they can beextremely dangerous. Numerous methods have beendeveloped in the past to track cyclones and gaugetheir severity after eye formation. The purpose ofthis paper is to track the movement of cyclones beforethe eye formation to avert cyclone-related damage ina fast and efficient way. This paper majorly focuseson cyclone forecasting before the formation of the eyewhich is a difficult task and demands effectiveness.The INSAT-3D satellite pictures consisting of IR andvisible images are analyzed and segmented using Detectron. Comparisons have been made between various alternate models, including CNN-LSTM and ahybrid model that combines CNN and BidirectionalLSTM. The model put forth in this paper is a combination of CNN and Bidirectional-GRU. The hybridmodel of CNN and Bidirectional GRU is trained onthe INSAT-3D dataset to estimate the next positionof the cyclone. The suggested model’s experimental results show an MSE of 1613.65 and an SSMI of(1.0,1.0).
Health System Readiness to Manage Maternal Death Data and Avail Evidence for Decision-Making Through Maternal Death Surveillance System in Ethiopia, 2020
Authors: Endris Abduilhafiz A. , Tilahun Tizita
Published: October 2022

Background: - Maternal mortality remains a major health problem in Ethiopia. To generate contextual evidence, Maternal Death Surveillance and Response system was introduced in 2013. This assessment is conducted to describe the health system's readiness to avail evidence for decision-making through MDSR system in Ethiopia.
Method: - Cross-sectional study designed using the modified WHO framework for evaluating disease surveillance systems was used. Using a multistage sampling, 631 health facilities and 539 health posts were selected. Pretested survey questionnaires designed using ODK software were used. Trained field epidemiology residents were used for data collection from September 2019 to April 2020. Text descriptions, graphs, maps, and tables were used to present the study findings.
Findings: - Final study finding shows that 400 (77.1 percent) health facilities and 264 (71.5 percent) health posts claimed that they are implementing the MDSR system. Of the total implementing health facilities, 349 (87.3 percent) of them have a death review committee, and only 42 (12.4 %) were functional. About 89.4% of health centers and 79.4% of hospitals had sub-optimal readiness for maternal death identification and notification. Among implementing health posts, 39 (14%) and 231 (87.5%), of them had locally translated community case definitions and established mechanisms for receiving death reports from the community. Only 23 (6.96 percent) and 18 (26.47 percent) MDSR implementing health centers and hospitals had optimal readiness to investigate and review maternal deaths. Additionally, surveillance officers and HEWs at 6 (1.5 percent) and 24 (9.1 percent) systems implementing health facilities and health posts were engaged in data analysis and evidence generation at least once during 2019/20.
Conclusions and Recommendations: - Sub-optimal MDSR system implementation is registered. Revitalizing the system by addressing all system components is critical. Having a national-level roadmap for MDSR system implementation and mobilizing all available resources and stakeholders to facilitate this is vital. It is also critical to establish a system for routine data quality monitoring and assurance integrated with the existing PHEM structure. Having a system for routine capacity building, advocacy, and monitoring and evaluation of the availability and functionality of MDSR committees at health facilities are all critical.
Association between blood eosinophil count and Duchenne muscular dystrophy severity and prognosis: a retrospective cohort study
Authors: Jiang Zhi , Liao Hongmei , Wu Liwen , Hu Wenjing , Yang Liming , Chen Bo , Ning Zeshu , Tang Jingwen , Xu Rong , Chen Mei , Guo Feng , Liu Shulei
Published: October 2022

Background: Duchenne muscular dystrophy(DMD) is a rare hereditary muscular disease. The role of eosinophils in DMD has not been clarified. This study aims to evaluate the association between peripheral blood eosinophil count and severity and prognosis of DMD.
Methods: A retrospective cohort study was performed for 145 DMD patients between January 2012 and December 2020. Clinical data of 150 healthy children were collected as a control group. Logistic regression and Cox regression analyses were used to explore the influences of eosinophil count on DMD severity and prognosis.
Results: Eosinophil countin DMD group was lower than the contr-ol group (Z=2.163,P=0.031). It was negatively correlated with Vign-os scale score, Spearman correlation coefficient was ρ=-0.245, P=0.040 (at admission), ρ=-0.137, P=0.032 (at follow-up); was a protec-tive factor for high Vignos scale score at admission [odds ratio (OR)=0.038,95%CI:(0.002-0.752), P=0.032] and follow-up (OR=0.033,95%CI:0.001-0.121, P=0.039). The Cox regression analysis indicated that elevated eosinophil count was correlated with better therapeuticefficacy for DMD patients [hazard ratio (HR)=1.127,95%CI:1.109-1.246, P=0.020].
Conclusion: Eosinophil count in peripheral blood was correlated with the severity of DMD. It could indicate the therapeutic efficacy and prognosis of DMD patients to a certain extent. Eosinophils may be a potentially valuable biomarker or therapeutic target for DMD.
Stretching attenuates tumor growth and improves tumor-associated collagen signatures in mouse orthotopic PyMT cancer model
Authors: Berrueta Lisbeth R. , Thompson Rebecca D. , Doyle Andrew D. , Badger Gary J. , Langevin Helene M.
Published: October 2022

Both mechanical forces and tumor-associated stroma architecture have been demonstrated to impact the growth and invasiveness of cancer cells. Tumor associated collagen signatures (TACS) aligned perpendicular to the boundary of tumors promote local tumor invasiveness in mouse mammary tumor models and are associated with a poor prognosis in humans breast cancer. A previous study showed that daily gentle stretching for 10 minutes reduced the growth of p53/PTEN-/- orthotopic mouse mammary tumors by 50%. In this study, we hypothesized that a similar stretching intervention would reduce both tumor growth and perpendicular collagen fibers at the tumor boundary. We tested this in a more aggressive orthotopic MMTV-PyMT mammary tumor model allowing us to test the effect of stretching on metastases. Stretching reduced average tumor volume by 40% and 33%, measured by caliper and ultrasound, respectively (p < .001). There was no significant effect of stretching on the number of lung metastases. The percentages of collagen fibers oriented parallel (TACS2) and perpendicular (TACS3) to the tumor were respectively higher and lower in the stretch group, resulting in an increased TACS 2/TACS 3 ratio in stretch vs. no-stretch groups (p = .04). These results suggest that stretching could modify the tumor-surrounding matrix potentially impacting disease outcome.
PsicAP transdiagnostic protocol of group cognitive-behavioral training for emotional disorders in Dominican Republic: A Randomized Controlled Trial Protocol
Authors: García-Batista Zoilo Emilio , Cantisano-Guzmán Luisa Marilia , Guerra-Peña Kiero , Alvarez Adriana , Moretti Luciana , Cano-Vindel Antonio , Muñoz-Navarro Roger , Baltra Ricardo Araya
Published: October 2022

Emotional disorders (ED) such as anxiety, depression and somatization are extremely prevalent disorders that can affect an individual’s quality of life and functionality. Primary Health Care (PHC) is the first place to identify most patients with these conditions. Mental health services in the Dominican Republic, as well as in Latin America and the Caribbean in general, are unable to provide appropriate care for most people with mental disorders. Using evidence-based treatment protocols is also crucial to make progress in helping people with ED. The PsicAP project is a group intervention that uses a transdiagnostic approach and is grounded in cognitive-behavioral techniques. The program is implemented in 7 group sessions, each lasting for one and a half hours. The program has been shown to be effective in reducing clinical symptoms, dysfunction, and in improving quality of life. It is also a non-time-intensive, low-cost treatment that is helpful for addressing EDs in a PHC context. The objective is to bring psychological treatments into PHC facilities of Dominican Republic, making them more accessible for a larger amount of the population.
Efficacy of a four-curve auxiliary arch at preventing maxillary central incisor linguoclination during orthodontic treatment: A finite element analysis
Authors: Yang Pingzhu , Bai Liyun , Zhang Hexuan , Liu Yu , Zhao Wenjun , Wen Xiujie , Liu Rui
Published: October 2022

Background
The correct torque of the incisors helps assess the effect of orthodontic treatment; however, evaluating it effectively remains a challenge. Improper anterior teeth torque angle can cause cortical bone fracture and root exposure.
Methods
A three-dimensional finite element model of the maxillary central incisor torque controlled by a self-made four-curvature auxiliary arch was established, And the experiments were divided to simulate four different group: (1) molar ligation group ; (2) micro-implant ligation group; (3) molar retraction group ༛(4) micro-implant retraction group༛and the retracted traction force was set at 1.15 N. The displacement of the maxillary dentition and periodontal ligament stress values were analyzed with different torque forces (0.5 N, 1 N, 1.5 N, 2 N) placed on the incisors.
Results
Provided the absence of a tooth extraction gap, when the four-curvature auxiliary arch was used in conjunction with absolute anchorage, the recommended force value was of < 1.5 N. when maxillary central incisor retraction, a force value of < 1 N was recommended. In the case of no-implant anchorage, whether there is tooth extraction gap or not, the recommended force value was of < 1 N. The stress on the other teeth did not exceed the value of that on the periodontal ligament. The effect of using the four-curvature on the incisors was significant.
Conclusions
The proposed approach may help improve treatment maxillary central incisor for poor torque and avoid cortical bone fracture and root exposure