bluuebunny/crossref_metadata_2025 huggingface dataset:
FEATURES OF PREPARING 3D OBJECTS MODELED IN BLENDER FOR IMPORT INTO UNITY 3D
Authors:   Kazan National Research Technical University named after A.N. Tupolev - KAI, GARAYEVA ENZHE R. , BIKMULLINA ILSIYAR I. ,   Kazan National Research Technical University named after A.N. Tupolev - KAI, BARKOV IGOR A. ,   Kazan National Research Technical University named after A.N. Tupolev - KAI
Published: August 2021

When developing a game in Unity using 3D models, it became necessary to create your own 3D models, so Unity's own capabilities were analyzed for creating 3D models. Since Unity's capabilities as a 3D modeling environment are limited, third-party software products designed to model 3D objects were considered. As a result of the analysis, the 3D blender editor was chosen for the development of objects, and therefore there was a need to study the features of importing finished objects from Blender to Unity. Unity's decision to use 3D models created in Blender is based on Unity's limited 3D modeling capabilities. Because of this, a guide was formulated, which describes what you need to pay attention to in order to prepare objects from Blender to Unity. This article provides a brief description of the professional tool for developing 3D models and game engine, which is supposed to export the resulting 3D models, including a brief historical background about them, their main features, features, thanks to which they win among other software products designed for 3D modeling and game creation, as well as information about what areas and how widely these products are used. The main errors that occur when importing ready-made objects are considered, as well as the features of preparing ready-made models from Blender to Unity are described. In addition, the reasons why it is necessary to use several software products to create a full-fledged product are considered. The description of the export process in the considered tool is presented. The step-by-step process of preparing an object for export to Blender is analyzed in detail. The order and features of preparation for exporting objects from Blender to Unity are considered on the example of preparation and export of a model of a toy bear modeled in Blender. For this purpose, a detailed analysis of the subject area was carried out, the results of which are presented in this article in the form of a step-by-step description of the process of preparing the object for export.
ADAPTIVE INTEGRATED SECURITY ASSURANCE SYSTEM AS AN ELEMENT OF THE INFRASTRUCTURE OF THE SITUATION CENTER
Authors:   Kuban State Technological University, PUTYATO MIKHAIL M. , MAKARYAN ALEXANDER S. ,   Kuban State Technological University, CHERKASOV ALEXANDER N. ,   Kuban State Technological University, GORIN IVAN G. ,   Non-state private educational institution "Lyceum "ISTEK"
Published: August 2021

The article deals with the analysis and modeling of an adaptive system for integrated security provision as an element of the infrastructure of the situation center. The constantly changing conditions of the information environment and the global information space dictate the possibility of automated or automatic "adaptation" of security systems to the requirements of modern software systems. The main tasks for organizing the integration of an integrated security system into the situation center system and determining the rules for interaction with functional blocks is the analysis and implementation of various formalized procedures for ensuring integrated security. An adaptive integrated security system is considered as an object that implements the ability to manage and quickly build a security model for a situation center, depending on the problem being solved, or preventing or eliminating an incident. The proposed approach is dictated not only by an increase in the functionality of modern technologies, but also by the requirements for the creation of adaptive integrated solutions that are scalable within the architecture to protect against various types of threats. The use of an integrated security system within the framework of the proposed approach will make it possible to promptly respond to incidents of both external and internal nature, which will allow timely neutralization of the consequences of their influence. An adaptive integrated security system as a common platform will provide timely monitoring, context and control capabilities in various situations. The development of such an integration platform will improve automation and improve the quality of information provided by information security products.
RESEARCH ON THE USE OF DECEPTION TECHNOLOGY TO PREVENT CYBERSECURITY THREATS
Authors:   Kuban State Technological University, PUTYATO MIKHAIL M , MAKARYAN ALEKSANDR S. ,   Kuban State Technological University, CHICH SHAMIL M. ,   Kuban State Technological University, MARKOVA VALENTINA K. ,   Kuban State Technological University
Published: August 2021

Internet of things (IoT) devices have become increasingly popular in recent years. IoT refers to smart refrigerators, smart locks, video nannies, and other household devices that have access to the Internet. However, the growing popularity of IoT technology is increasingly attracting the attention of hackers who are interested both in disclosing confidential enduser data and in misuse of the computing resources of the attacked devices. Unfortunately, malicious attacks often result in successful compromise of devices, with the ensuing consequences. The reasons for the high level of compromise of IoT devices are caused both by errors in the design, implementation, and relatively simple operation with the use of various information security audit tools. To identify defects in the development and implementation of devices, you need to have some idea about them, that is, to identify and eliminate them in a timely manner. This can be achieved in various ways. One of these methods is to create special traps that collect information about the activity of an attacker, called honeypot. The essence of the honeypot technology is to emulate or implement the functionality of existing devices, services, and protocols, with the accumulation of data about malicious activity of an attacker. The information obtained can be used to improve the protection of real devices, services, and protocols, as well as to develop measures to counter hackers. The article provides a comparative analysis of the existing most popular honeypot systems in order to identify the best system. The analysis identified both the weaknesses and strengths of these systems. Next, an attempt is made to adapt these same systems to function at the level of Internet of things devices.
IMPLEMENTATION OF A DIGITAL TWIN USING THE EXAMPLE OF STATE MONITORING OF THE REJOINT EXOSKELETON TRAINER
Authors:   Volgograd State Technical University, DRAGUNOV STANISLAV E. , POPOVA SVETLANA S. ,   Volgograd State Technical University, MATOKHINA ANNA VLADIMIROVNA ,   Volgograd State Technical University, CHERNETSKY MAXIM A. ,   LLC “Rejoint Nauka”
Published: August 2021

This article discusses the approbation of the digital twin methodology for condition monitoring and operation control within the framework of the lease, the Rejoint exoskeletal trainer used to restore muscle activity after injuries and strokes. To test the work, digital shadow technology is used, which makes it possible to obtain information about the state of the device in remote operation, which improves the quality. maintenance and increase the life of the device. The monitoring process includes the installation of additional sensors on the device, which allow collecting realtime data on the position of the nodes and the state of the device, transmitting data to the server for subsequent analysis. The obtained data allow carrying out, in addition to digital analytics, computer simulations, providing for analysis a digital copy of the actually operated device.
Current and Emerging Treatments for Methamphetamine Use Disorder
Authors: Moszczynska Anna
Published: August 2021

Almost two decades have passed since the last methamphetamine (METH) abuse epidemic.
In recent years, METH abuse in the United States has been rapidly increasing and is currently
one of the leading causes of death in our country. Available statistical data indicates reemergence
of METH popularity and suggest an impending third epidemic of METH abuse. Alarmingly,
there is no FDA-approved medication for METH use disorder (MUD). This disorder is currently
treated with behavioral therapies; however, these therapies have limitations and would benefit
from the addition of a MUD pharmacotherapy. Unfortunately, clinical trials have not yet found consistently
effective pharmacotherapy for MUD. This review outlines the history of METH use, provides
information on current prevalence of METH abuse and MUD, describes medications that have
been in clinical trials for MUD, and addresses current as well as potential new treatments for MUD.
Effects of General Anesthetics on Synaptic Transmission and Plasticity
Authors: Platholi Jimcy , Hemmings Hugh C.
Published: August 2021

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General anesthetics depress excitatory and/or enhance inhibitory synaptic transmission principally by modulating the function of glutamatergic or GABAergic synapses, respectively, with relative anesthetic agent-specific mechanisms. Synaptic signaling proteins, including ligand- and voltage-gated ion channels, are targeted by general anesthetics to modulate various synaptic mechanisms including presynaptic neurotransmitter release, postsynaptic receptor signaling, and dendritic spine dynamics to produce their characteristic acute neurophysiological effects. As synaptic structure and plasticity mediate higher-order functions such as learning and memory, long-term synaptic dysfunction following anesthesia may lead to undesirable neurocognitive consequences depending on specific anesthetic agent and the vulnerability of population. Here we review the cellular and molecular mechanisms of transient and persistent general anesthetic alterations of synaptic transmission and plasticity.
Overview of Chemistry and Therapeutic Potential of Non-Nitrogen Heterocyclics
as Anticonvulsant Agents
Authors: Akhtar Md. Jawaid , Pal Rohit , Singh Karanvir , Paul Joyson , Khan Shah Alam , Naim Mohd. Javed
Published: August 2021

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Epilepsy is a chronic neurological disorder, characterized by the predisposition of unpro-voked seizures affecting the neurobiological, psychological, cognitive, economic, and social well-being of the patient. As per the 2019 report by World Health Organization, it affects nearly 80% of the population, which comes from middle to low-income countries. It has been suggested that 70% of such cases can be treated effectively if properly diagnosed. It is one of the most common neuro-logical diseases affecting 50 million people globally. Most of the antiepileptic drugs used in clinical practice are only 60-80% effective in controlling the disease. These drugs suffer from serious draw-backs of non-selectivity and toxicity that limit their clinical usefulness. Hence, there is a need to search for safe, potent, and effective anti-epileptic drugs. One of the emerging strategies to discover and develop selective and non-toxic anticonvulsant molecules focuses on the design of non-nitrogen heterocyclic compounds (NNHC). Drugs such as valproic acid, gabapentin, viagabatrin, fluorofel-bamate, tiagabine, progabide, pregabalin, gamma amino butyric acid (GABA), etc. do not contain a nitrogen heterocyclic ring but are as effective anticonvulsants as conventional heterocyclic nitrogen compounds. This review covers the various classes of NNHC which have been developed in the re-cent past as anticonvulsants along with their chemistry, percentage yield, structure-activity relation-ship and biological activity. The most potent compound in each series has been identified for com-parative studies, for further structural modification and to improve the pharmacokinetic profile. Var-ious optimized synthetic pathways and diverse functionalities other than nitrogen-containing rings discussed in the article may help medicinal chemists to design safe and effective anticonvulsant drugs in near future.
Pluripotent Stem Cells for Livestock Health and Production
Authors: Punetha Meeti , Bajwa Kamlesh K. , Dua Seema , Bansal Sonu , Kuotsu Vineichuno , Parashar Atul , Selokar Naresh L. , Kumar Pradeep , Yadav P.S. , Kumar Dharmendra
Published: August 2021

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Pluripotent stem cells (PSCs) have unlimited capacity for self-renewal and differentiation
so that they can potentially produce any cell or tissue of animal’s body. The PSCs derived
from livestock represents a more appropriate model than a rodent for investigating human diseases
due to their higher anatomical and physiological resemblance with human. Apart from that, livestock
PSCs hold immense promises for innovative therapies, transgenic animal production and their
biomedical interest. The realization of the full potential of PSCs, however, depends on the elucidation
of the molecular mechanisms which play a critical role in the maintenance of pluripotency and
reprogramming procedure remains poorly understood in livestock which in turn impedes the generation
of true PSCs and their usage for clinical research. An in-depth understanding of pluripotency
is extremely essential for improving health and welfare of livestock animals. Therefore, the present
review focuses on the milestone achievements of PSCs in livestock animals and their potential application
in health and production of livestock.
Meteorology: elements and position in the corpus aristotelicum
Authors: Marques Thiago Rosales
Published: August 2021

In this paper, I am to present an overview of the theoretical grounds and position of Meteorologicain the corpus Aristotelicum. For that, I expose initially the arguments for the possible dating of the text. In the sequence I consider its relation with other treatises. Thus, I aim to provide support to the discussion concerning the theoretical structure of the text, focusing on the theory of exhalations and rotation of fire and air regions, respectively, material and efficient causes of meteorological phenom-ena. In each case, I point out the difficulties that proceeded from such theories
Truth criterium according to Malebranche
Authors: Bloise Bruna Frascolla
Published: August 2021

Along with a theological question, the protestat Reformation brought another one, epistemological: what is the criterion of truth? If truth is subjective, the spirit of a believer is the criterion, and one is free for deprehending whatever he pleases from his reading of the Bible. If it is objective, there must be some criterion of truth. At the beginning, catholics adopted skepticism and denied that truth could ever be known. That is why Father Malebranche attacks skeptics. But he also attacks Aristotelians. The present article shows how he solves the epistemological problem through occasionalism, and trows the foundations for English empiricism. At his attack ons skeptics, Malebranche repeats Contra Academicos and bets on the trueness of soul perceptions. On the other side, he shows that these perceptions cannot ever attain that truth of the things in themselves, and that their only utility is to reveal relations between ideas (which may be empirical). The knowledge would be the perception of such relations, without any Cartesian notion of objective causality. As for matters of faith, since they are not empirical, nor purely abstract, they must be subjected to the authority of tradition, and the most credible authority is the chronologically nearest to Revelation.
Necessary Political Aristotelianism
Authors: Martins José Antônio
Published: August 2021

This paper seeks to present the intellectual framework in which the Latin translation of Aristotle’s Politics by William of Moerbeke in 1265 emerges and to some extent evaluate its first repercussions in the classification of scientia practica in the university context of the 13th century Latin. It is not a matter of making an exhaustive study of the reception of Politics, nor of scrutinizing the intellectual conditions, particularly university, of the Latin medieval world prior to the translation of Politics, but of understanding the conditions of assimilation of the aristotelian political text within the framework of understanding the practical sciences
Entre o amor e a soberba: o conceito de justiça do livro XIX do “Sobre a Cidade de Deus”, como chave de interpretação do amor ao próximo no “Comentário à Primeira Epístola de São João” de Agostinho
Authors: Brandão Ricardo Evangelista
Published: August 2021

Starting from the concept of justice in Book XIX of De civitate Dei, especially whatjustice is "to give to each one what is his", we will investigate the extent to which the love (dilectio) worked in the Commentary on the First Epistle of St. John can be interpreted as social justice. Considering that this Epistle is one of the hardest texts of the collection of love for the Christian in the New Testament, Augustine understands the consequences of abundance and lack of love in an eminently social way, since through love it is impossible to be insensitive before the misery of social injustice, which makes so many miserable. Thus, vera justitiawould be demonstrated by unconditional love of neighbor, not allowing his neighbor to be in miser. However, this aid, moreover, cannot translate into a constant dependence between the aided and the helper, for when this situation of dependence if it is perpetuated, the aided one naturally will nourish a feeling of superiority before the aided one, and the latter will think himself inferior to that which assists him. Sothat the love demonstrated by true justitiais configured in an emergency to get the poor from misery, and continuous rite, to work so that it acquires autonomy and dignity.
Breves notas sobre a mística agostiniana
Authors: Santos Maria Célia
Published: August 2021

I addition to the fact that Augustine never wrote specifically about mysticism, wemay consider, for instance, the absence in Augustine's time of a systematic character concept of the infused prayer effects which will shape the later Mystical Theology. However, such effects seem to influence the terms used by Augustine: overly an indicative sign of the philosophical, intellectual, and Neoplatonic influence, which leads to a criticism about the similarity of his narrations to the religious experiences described by the mystics themselves, according to the later Christian tradition. This work presents a brief introduction regarding Augustine as a master of Western mysticism, giving it a new Latin and genuinely Christian expression of the Neoplatonic contemplation conceptual structure.
Price Integration Analysis of Crude Oil and Vegetable Oils
Authors: Destiarni Resti , Jamil Ahmad
Published: August 2021

The importance of palm oil as Indonesia's main export commodity from the non-oil and gas sector makes a study about the price integration of crude oil and vegetable oils is conducted. The time-series data is used are monthly data from 2002:2 to 2019:4. Using the Vector Correction Model (VECM), this study aimed to analyze the price integration among Log of Crude Oil Price (LCOP), Palm Oil Price (LPOP), Soybean Oil Price (LSOP), Sun Flower Oil Price (LSFOP) and Rapeseed Oil Price (LROP). Augmented-Dickey Fuller (ADF) stationary test results show that the time series for those data are stationary at first difference. Using the Pearson Correlation test among price data indicates that there is a high positive correlation among those price data. It reveals a high degree of short-run integration among oil price data. Based on the Johansen cointegration test, the result reveals the presence of long-run relationships among determinants. Knowing presence of cointegration among the data, a bivariate cointegration test was conducted in this study. The test showed that LCOP did not have long-run relationship with vegetable oil prices. The Engel Granger Causality test revealed that generally, LPOP have influence on the movement both LCOP and other vegetable oil prices.
Kepatuhan Ibu Nifas Dalam Pemanfaatan Buku KIA Terhadap Pencegahan Komplikasi Masa Nifas Di Kota TarakanKepatuhan Ibu Nifas Dalam Pemanfaatan Buku KIA Terhadap Pencegahan Komplikasi Masa Nifas Di Kota Tarakan
Authors:   Universitas Borneo Tarakan, Noviyanti Nur Indah , Gusrian Gusrian ,   Universitas Borneo Tarakan
Published: August 2021

Indonesia is currently still experienced problems related to the high maternal mortality rate (MMR) and infant mortality rate (IMR). So that the government makes efforts to reduce MMR and IMR. In this effort, in 1994 the government issued the MCH booklet, which is one of the strategies in reducing maternal and infant mortality rates, this strategy involves empowering the community, especially families and communities. In order to ensure the use of the MCH handbook in the community, the implementation of the MCH handbook is coordinated directly by the respective regional health offices. During the pandemic postpartum mothers find it difficult to access health facilities because of the right to service. Therefore, to increase mother's knowledge, both about early detection of complications, health education, health promotion, it is hoped that mothers can support them through the KIA book that every pregnant and postpartum mother has. This study aims to determine the relationship between postpartum mother’s adherence to the use of MCH book as an education to prevent complications in the Pandemic Era in the Sebengkok Community Health Center. This type of research used analytical research with cross sectional design. The population in this study were all postpartum mothers who were in the working area of the pusksemas Sebengkok from January to June 2020. The sampling technique in this study was purposive sampling. Based on the chi square test, the value of ρ = 0.011 was obtained, which shows ρ <α (0.05), which means that there is a relationship between postpartum mothers' knowledge of the use of the MCH book during the COVID-19 pandemic.
Literature Review: Intervensi Kebidanan Terkini Peningkatan Sikap Orang Tua dalam Memberikan Pendidikan Seksual Pada Anak untuk Pencegahan Child Sexual Abuse
Authors:   Program Studi Sarjana Kebidanan, Fakultas Kedokteran, Universitas Brawijaya, Hafshah Hafshah , Wardani Diadjeng Setya ,   Program Studi Sarjana Kebidanan, Fakultas Kedokteran, Universitas Brawijaya, Gumanti Kentri Anggarina ,   Program Studi Sarjana Kebidanan, Fakultas Kedokteran, Universitas Brawijaya
Published: August 2021

Child sexual abuse cases reported in Indonesia are still high. Sexual issues are still taboo in society, parents in Indonesia don't care about sexual education for their children. Sexual education is important given to straighten understanding and positive sexual behavior of children. Providing appropriate sexual education can equip children to protect themselves from sexual abuse. Parents need to support and facilities to provide sexual education for their children. This study aimed to critically review literature, articles, and related documents research in measuring the effectiveness of health promotion interventions to improve parents' attitudes in providing sexual education for children as an effort in preventing child sexual abuse. In this study, researchers use the literature review method. Data were obtained from reputable journal articles published in the 2010-2020 period. To analysis the research, researchers use the PICO-T RCAC method (Population, Intervention, Compare / Intervention, Outcome, Time). Ten articles analyzed show that the interventions provided varied greatly in terms of content, methods, media, and duration. Interventions are training, counseling, psychoeducation, and educational drama that can improve parents’ knowledge, attitudes, and communication practices in preventing child sexual abuse and increasing parental awareness of the phenomenon of sexual harassment around their children. This study concludes that some health promotion interventions have been effective in improving parents' attitudes to be more positive in providing sexual education to their children.
Artificial Intelligence for Skin Cancer Detection: Scoping Review
Authors: Takiddin Abdulrahman , Schneider Jens , Yang Yin , Abd-Alrazaq Alaa , Househ Mowafa
Published: August 2021

Background

Skin cancer is the most common cancer type affecting humans. Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.

Objective

The aim of this study was to identify and group the different types of AI-based technologies used to detect and classify skin cancer. The study also examined the reliability of the selected papers by studying the correlation between the data set size and the number of diagnostic classes with the performance metrics used to evaluate the models.

Methods

We conducted a systematic search for papers using Institute of Electrical and Electronics Engineers (IEEE) Xplore, Association for Computing Machinery Digital Library (ACM DL), and Ovid MEDLINE databases following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. The studies included in this scoping review had to fulfill several selection criteria: being specifically about skin cancer, detecting or classifying skin cancer, and using AI technologies. Study selection and data extraction were independently conducted by two reviewers. Extracted data were narratively synthesized, where studies were grouped based on the diagnostic AI techniques and their evaluation metrics.

Results

We retrieved 906 papers from the 3 databases, of which 53 were eligible for this review. Shallow AI-based techniques were used in 14 studies, and deep AI-based techniques were used in 39 studies. The studies used up to 11 evaluation metrics to assess the proposed models, where 39 studies used accuracy as the primary evaluation metric. Overall, studies that used smaller data sets reported higher accuracy.

Conclusions

This paper examined multiple AI-based skin cancer detection models. However, a direct comparison between methods was hindered by the varied use of different evaluation metrics and image types. Performance scores were affected by factors such as data set size, number of diagnostic classes, and techniques. Hence, the reliability of shallow and deep models with higher accuracy scores was questionable since they were trained and tested on relatively small data sets of a few diagnostic classes.
The Pandemic Year 2020: World Map of Coronavirus Research
Authors: Klingelhöfer Doris , Braun Markus , Brüggmann Dörthe , Groneberg David A
Published: August 2021

Background

SARS-CoV-2 is one of the most threatening pandemics in human history. As of the date of this analysis, it had claimed about 2 million lives worldwide, and the number is rising sharply. Governments, societies, and scientists are equally challenged under this burden.

Objective

This study aimed to map global coronavirus research in 2020 according to various influencing factors to highlight incentives or necessities for further research.

Methods

The application of established and advanced bibliometric methods combined with the visualization technique of density-equalizing mapping provided a global picture of incentives and efforts on coronavirus research in 2020. Countries’ funding patterns and their epidemiological and socioeconomic characteristics as well as their publication performance data were included.

Results

Research output exploded in 2020 with momentum, including citation and networking parameters. China and the United States were the countries with the highest publication performance. Globally, however, publication output correlated significantly with COVID-19 cases. Research funding has also increased immensely.

Conclusions

Nonetheless, the abrupt decline in publication efforts following previous coronavirus epidemics should demonstrate to global researchers that they should not lose interest even after containment, as the next epidemiological challenge is certain to come. Validated reporting worldwide and the inclusion of low-income countries are additionally important for a successful future research strategy.
Columbia Open Health Data for COVID-19 Research: Database Analysis
Authors: Lee Junghwan , Kim Jae Hyun , Liu Cong , Hripcsak George , Natarajan Karthik , Ta Casey , Weng Chunhua
Published: August 2021

Background

COVID-19 has threatened the health of tens of millions of people all over the world. Massive research efforts have been made in response to the COVID-19 pandemic. Utilization of clinical data can accelerate these research efforts to combat the pandemic since important characteristics of the patients are often found by examining the clinical data. Publicly accessible clinical data on COVID-19, however, remain limited despite the immediate need.

Objective

To provide shareable clinical data to catalyze COVID-19 research, we present Columbia Open Health Data for COVID-19 Research (COHD-COVID), a publicly accessible database providing clinical concept prevalence, clinical concept co-occurrence, and clinical symptom prevalence for hospitalized patients with COVID-19. COHD-COVID also provides data on hospitalized patients with influenza and general hospitalized patients as comparator cohorts.

Methods

The data used in COHD-COVID were obtained from NewYork-Presbyterian/Columbia University Irving Medical Center’s electronic health records database. Condition, drug, and procedure concepts were obtained from the visits of identified patients from the cohorts. Rare concepts were excluded, and the true concept counts were perturbed using Poisson randomization to protect patient privacy. Concept prevalence, concept prevalence ratio, concept co-occurrence, and symptom prevalence were calculated using the obtained concepts.

Results

Concept prevalence and concept prevalence ratio analyses showed the clinical characteristics of the COVID-19 cohorts, confirming the well-known characteristics of COVID-19 (eg, acute lower respiratory tract infection and cough). The concepts related to the well-known characteristics of COVID-19 recorded high prevalence and high prevalence ratio in the COVID-19 cohort compared to the hospitalized influenza cohort and general hospitalized cohort. Concept co-occurrence analyses showed potential associations between specific concepts. In case of acute lower respiratory tract infection in the COVID-19 cohort, a high co-occurrence ratio was obtained with COVID-19–related concepts and commonly used drugs (eg, disease due to coronavirus and acetaminophen). Symptom prevalence analysis indicated symptom-level characteristics of the cohorts and confirmed that well-known symptoms of COVID-19 (eg, fever, cough, and dyspnea) showed higher prevalence than the hospitalized influenza cohort and the general hospitalized cohort.

Conclusions

We present COHD-COVID, a publicly accessible database providing useful clinical data for hospitalized patients with COVID-19, hospitalized patients with influenza, and general hospitalized patients. We expect COHD-COVID to provide researchers and clinicians quantitative measures of COVID-19–related clinical features to better understand and combat the pandemic.
Noisy Galvanic Vestibular Stimulation Combined With a Multisensory Balance Program in Older Adults With Moderate to High Fall Risk: Protocol for a Feasibility Study for a Randomized Controlled Trial (Preprint)
Authors: McLaren Ruth , Smith Paul F , Lord Sue , Kaur Preet Kamal , Zheng Yiwen , Taylor Denise
Published: August 2021

BACKGROUND

Reduced mobility and falls are common among older adults. Balance retraining programs are effective in reducing falls and in improving balance and mobility. Noisy galvanic vestibular stimulation is a low-level electrical stimulation used to reduce the threshold for the firing of vestibular neurons via a mechanism of stochastic resonance.

OBJECTIVE

This study aims to determine the feasibility of using noisy galvanic vestibular stimulation to augment a balance training program for older adults at risk of falls. We hypothesize that noisy galvanic vestibular stimulation will enhance the effects of balance retraining in older adults at risk of falls

METHODS

In this 3-armed randomized controlled trial, community dwelling older adults at risk of falling will be randomly assigned to a noisy galvanic vestibular stimulation plus balance program (noisy galvanic vestibular stimulation group), sham plus balance program (sham group), or a no treatment group (control). Participants will attend the exercise group twice a week for 8 weeks with assessment of balance and gait pretreatment, posttreatment, and at 3 months postintervention. Primary outcome measures include postural sway, measured by center of pressure velocity, area and root mean square, and gait parameters such as speed, step width, step variability, and double support time. Spatial memory will also be measured using the triangle completion task and the 4 Mountains Test.

RESULTS

Recruitment began in November 2020. Data collection and analysis are expected to be completed by December 2022.

CONCLUSIONS

This study will evaluate the feasibility of using noisy galvanic vestibular stimulation alongside balance retraining in older adults at risk of falls and will inform the design of a fully powered randomized controlled trial.

CLINICALTRIAL

New Zealand Clinical Trials Registry (ACTRN12620001172998); https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=379944

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/32085
Assessing the Performance of a New Artificial Intelligence–Driven Diagnostic Support Tool Using Medical Board Exam Simulations: Clinical Vignette Study (Preprint)
Authors: Ben-Shabat Niv , Sloma Ariel , Weizman Tomer , Kiderman David , Amital Howard
Published: August 2021

BACKGROUND

Diagnostic decision support systems (DDSS) are computer programs aimed to improve health care by supporting clinicians in the process of diagnostic decision-making. Previous studies on DDSS demonstrated their ability to enhance clinicians’ diagnostic skills, prevent diagnostic errors, and reduce hospitalization costs. Despite the potential benefits, their utilization in clinical practice is limited, emphasizing the need for new and improved products.

OBJECTIVE

The aim of this study was to conduct a preliminary analysis of the diagnostic performance of “Kahun,” a new artificial intelligence-driven diagnostic tool.

METHODS

Diagnostic performance was evaluated based on the program’s ability to “solve” clinical cases from the United States Medical Licensing Examination Step 2 Clinical Skills board exam simulations that were drawn from the case banks of 3 leading preparation companies. Each case included 3 expected differential diagnoses. The cases were entered into the Kahun platform by 3 blinded junior physicians. For each case, the presence and the rank of the correct diagnoses within the generated differential diagnoses list were recorded. Each diagnostic performance was measured in two ways: first, as diagnostic sensitivity, and second, as case-specific success rates that represent diagnostic comprehensiveness.

RESULTS

The study included 91 clinical cases with 78 different chief complaints and a mean number of 38 (SD 8) findings for each case. The total number of expected diagnoses was 272, of which 174 were different (some appeared more than once). Of the 272 expected diagnoses, 231 (87.5%; 95% CI 76-99) diagnoses were suggested within the top 20 listed diagnoses, 209 (76.8%; 95% CI 66-87) were suggested within the top 10, and 168 (61.8%; 95% CI 52-71) within the top 5. The median rank of correct diagnoses was 3 (IQR 2-6). Of the 91 expected diagnoses, 62 (68%; 95% CI 59-78) of the cases were suggested within the top 20 listed diagnoses, 44 (48%; 95% CI 38-59) within the top 10, and 24 (26%; 95% CI 17-35) within the top 5. Of the 91 expected diagnoses, in 87 (96%; 95% CI 91-100), at least 2 out of 3 of the cases’ expected diagnoses were suggested within the top 20 listed diagnoses; 78 (86%; 95% CI 79-93) were suggested within the top 10; and 61 (67%; 95% CI 57-77) within the top 5.

CONCLUSIONS

The diagnostic support tool evaluated in this study demonstrated good diagnostic accuracy and comprehensiveness; it also had the ability to manage a wide range of clinical findings.
Effectiveness of Telehealth Interventions for Women With Postpartum Depression: Systematic Review and Meta-analysis (Preprint)
Authors: Zhao Liuhong , Chen Jingfen , Lan Liuying , Deng Ni , Liao Yan , Yue Liqun , Chen Innie , Wen Shi Wu , Xie Ri-hua
Published: August 2021

BACKGROUND

Postpartum depression (PPD) is a prevalent mental health problem with serious adverse consequences for affected women and their infants. Clinical trials have found that telehealth interventions for women with PPD result in increased accessibility and improved treatment effectiveness. However, no comprehensive synthesis of evidence from clinical trials by systematic review has been conducted.

OBJECTIVE

The aim of this study is to evaluate the effectiveness of telehealth interventions in reducing depressive symptoms and anxiety in women with PPD. To enhance the homogeneity and interpretability of the findings, this systematic review focuses on PPD measured by the Edinburgh Postnatal Depression Scale (EPDS).

METHODS

PubMed, The Cochrane Library, CINAHL, PsycINFO, CNKI, and Wanfang were electronically searched to identify randomized controlled trials (RCTs) on the effectiveness of telehealth interventions for women with PPD from inception to February 28, 2021. Data extraction and quality assessment were performed independently by two researchers. The quality of included studies was assessed using the Cochrane risk-of-bias tool, and meta-analysis was performed using RevMan 5.4 software.

RESULTS

Following the search, 9 RCTs with a total of 1958 women with PPD were included. The EPDS (mean difference=–2.99, 95% CI –4.52 to –1.46; P<.001) and anxiety (standardized mean difference=–0.39, 95% CI –0.67 to –0.12; P=.005) scores were significantly lower in the telehealth group compared with the control group. Significant subgroup differences were found in depressive symptoms according to the severity of PPD, telehealth technology, specific therapy, and follow-up time (P<.001).

CONCLUSIONS

Telehealth interventions could effectively reduce the symptoms of depression and anxiety in women with PPD. However, better designed and more rigorous large-scale RCTs targeting specific therapies are needed to further explore the potential of telehealth interventions for PPD.

CLINICALTRIAL

PROSPERO CRD42021258541; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=258541
The Impact of Consumer Behavior Factors on Hallyu Consumption in Four Latin American Countries
Authors: Hernández Stephany Masís , Lee Jaeho
Published: August 2021

This paper aims to examine the impact of consumer behavior factors on Hallyu consumption in Argentina, Chile, Costa Rica, and Mexico. In particular, the paper explores the relationships between cultural, social, and psychological factors and consumer intention (and attachment) in the context of Hallyu attractiveness. To reach our research goal, we conducted a survey and measured each of the factors that impact consumer behavior, the degree of attachment toward Hallyu, and consumer or purchase intention. We then analyzed our hypotheses using the structural equation model. The main findings of the study indicate that social influence, motivation, perception, and attitude are strongly associated with attachment and consumption intention not only directly but also when the relationship is mediated by the characteristics of Hallyu attractiveness. We also found that the local culture’s orientation is weakly associated with attachment and consumption intention.
The Effects of Current Account Deficits on Economic Growth: Evidence from Kenya
Authors: Mugo Patrick Mugendi , Masai Wafula , Osoro Kennedy
Published: August 2021

The study examines the effects of current account deficits on economic growth. It also evaluates the direction of causality between the current account deficits and economic growth. These have in the recent past been analyzed in developed and developing economies. In contributing to this ongoing debate, the study applied unit root tests, cointegration analysis, a dynamic vector error correction model and Toda-Yamamoto Granger-causality representation using annual time series data for Kenya from 1980 to 2016. There is evidence that in the long run, current account deficit has significant positive effect on economic growth in Kenya. The evidence suggests a bidirectional causality running from current account deficit to economic growth with feedback effects. The study underscores the need for the authorities to utilize current account deficits to strictly finance public investment to foster gross fixed capital formation, for shared prosperity in Kenya. The evidence underscores the need for more country specific studies in sub-Saharan Africa.
Training and Placement Cell
Authors: Bele Vaibhavi
Published: August 2021

This Training and Placement Cell allows the training and placement officer to manage student information about campus recruitment. Manually collecting and managing student information has been very difficult. Now days, to make this recruitment process easier and more efficient a development program is called Training and Placement Cell. In this program the student makes his or her registration much easier so that the placement officer can easily get the student details. The Online Training and Placement Program changes the Training and Placement activities and establishes good communication between the student. Online Training and Placement focuses on automated placement automation. The system also assists the college to keep track of student appointments. The appointment officer prepares a schedule for all activities in relation to appointments and provides conditions. Eligible students receive information automatically. The student, Departmental staff, TPO received the required information. Those enrolled students are all eligible for the program.
Synthesis, Characterization, Antimicrobial and Antioxidant Studies of Co(II), Ni(II), Cu(II) and Zn(II) Metal Complexes with the Ligands 2-{[4-(5-bromo thiophen-2- yl)-6- phenylpyrimidin-2 yl]carbonoimidoyl}phenol Derivatives
Authors: Ravindranath Sunanda
Published: August 2021

A few complexes 2-{[4-(5-bromo thiophen-2-yl)-6-phenyl pyrimidin-2-yl] carbonoimidoyl} phenol [HL5] and 2-{[4-(5-bromo thiophen-2-yl) -6- phenyl pyrimidin-2-yl]carbon imidoyl}-5-methoxyphenol [HL6] with first row transition metal ions have been reported in this paper. The stichiometry of type (1:1) [M(L)]2H2O is analysed by these complexes. Complexes with ligands (HL5 and HL6) of metal ions Co(II), Ni(II), Cu(II) and Zn(II) reveal co- ordination number six, by means of magnetic susceptibility, electronic, IR, 1H NMR, X-ray diffraction and ESR spectrum data. Copper(II) complexes with (HL5) and (HL6) were studied spectrophotometrically at different temperatures having an absorption maxima of 535 nm. The findings demonstrate that copper(II) and (HL5) and (HL6) are combined at pH 5.0 at a molar ratio of 1:1. The stability constants of the complexes were calculated to be 13.06×104, 14.51×104 and 10.40×104 and 13.18x104, 15.06x104, 11.23x104 for (HL5) and (HL6) respectively by Jobs continuous variation method and 0.24×104, 0.57×104, and 0.77×104 and 0.28×104, 0.55×104, 0.79×104 for (HL5) and (HL6) respectively by mole ratio method at 30, 35 and 40°C, respectively. Both ligands and their metal complexes were screened for their antibacterial and antifungal activity by cup plate method and antioxidant activity by using standard DPPH radical scavenging ability method.
DESARROLLO DE LA CONCIENCIA FONÉMICA: EVALUACIÓN DE UN PROGRAMA DE INTERVENCIÓN
Authors: Trías Daniel , Cuadro Ariel , Costa Ball Daniel
Published: August 2021

En un estudio longitudinal se busca evaluar el impacto del entrenamiento en conciencia fonémica en la adquisición del lenguaje escrito. Participaron 51 niños de Educación Inicial. Se asignaron a tres condiciones experimentales: conciencia fonológica y grafemas, conciencia fonológica y grupo control. En distintos momentos de la escolaridad se evaluó: conciencia fonémica, reconocimiento de letras y de palabras y fluencia lectora. Iniciado Primer Año los participantes están ya familiarizados con el lenguaje escrito, alcanzan altos niveles de conciencia fonémica y reconocen palabras. Considerando la condición experimental, el grupo entrenado en conciencia fonológica y grafemas mantiene niveles más altos en segmentación y lectura de palabras, aunque la brecha no resulta estadísticamente significativa. Tampoco se observan diferencias al comparar la fluencia lectora en tercer año. Estos resultados deben interpretarse desde la relación causal bidireccional entre conciencia fonológica y lectura que acelera los procesos de desarrollo en una lengua transparente como el castellano.
LA COMPRENSIÓN DE TEXTOS DESDE UN ENFOQUE MULTICOMPONENCIAL. EL TEST “LEER PARA COMPRENDER”
Authors: Abusamra Valeria , Cartoceti Romina , Ferreres Aldo , De Beni Rossana , Cornoldi Cesare
Published: August 2021

La comprensión de textos es una tarea compleja que requiere de la participación de múltiples habilidades cognitivas. Fallas en una o varias de estas habilidades pueden originar dificultades en la comprensión del nivel textual. La evaluación de dichas dificultades requiere, por lo tanto, una perspectiva multicomponencial. El incipiente desarrollo de la dimensión textual en la educación y en la clínica de las dificultades del aprendizaje plantea la necesidad de contar con un instrumento de esta naturaleza en la población hispanohablante. Con este objetivo se realizó la adaptación al español de un test (Nuova guida alla comprensione del testo, De Beni et al., 2003) para evaluar la comprensión de textos y se obtuvieron datos normativos para niños de 9 a 12 años. El test Leer para Comprender (Abusamra et al., en prensa) toma como base un modelo global de once componentes: esquema básico del texto, hechos y secuencias, semántica léxica, estructura sintáctica, cohesión textual, inferencias, intuición del texto, jerarquía del texto, modelos mentales, flexibilidad y errores e incongruencias. Este instrumento resulta sensible a la especificidad de los procesos implicados en la comprensión de texto. Un acercamiento desde una perspectiva multicomponencial permite no sólo operar de modo específico sobre los distintos aspectos de la comprensión sino que resulta, además, de gran utilidad para intervenir de manera focal sobre los procesos o habilidades implicados.
LOS DEBERES ESCOLARES EN EL MARCO DE LAS RELACIONES FAMILIA–ESCUELA
Authors: González Tornaría María del Luján , Guerra Albertina , Prato Sofía , Barrera Patricia
Published: August 2021

Esta comunicación presenta la primera etapa de una investigación que se centra en los deberes escolares y su infl uencia en la relación entre las familias y los centros educativos. Se ofrece una reseña actualizada acerca de la literatura internacional sobre el tema y el diseño de la investigación internacional de la cual este estudio forma parte. Por último, se da cuenta de la etapa de estudio piloto de los instrumentos de investigación en idioma español, que se está empezando a transitar.