bluuebunny/crossref_metadata_2025 huggingface dataset:
APTIDÃO AGRÍCOLA DOS SOLOS DA ÁREA DA BACIA HIDROGRÁFICA DO RIO GOIANA NO ESTADO DE PERNAMBUCO
Authors: Da Silva Izaldo Pedro , Barbosa Neto Manuella Vieira
Published: October 2022

O uso inadequado do solo pode causar problemas ambientais. Nesse sentido, são necessários estudos que indiquem seu melhor uso para as atividades agrícolas, pois dele são extraídos os principais alimentos para a sobrevivência humana. Neste trabalho discutem-se questões sobre o potencial agrícola da bacia hidrográfica do rio Goiana em dois níveis de manejo, média (B) e alta tecnologia (C), indicando os tipos de manejos mais adequados às suas condições ambientais. A referida área em estudo localiza-se no estado de Pernambuco na sua porção oriental norte e abrange uma área de 2.829,04 km². Utiliza-se a metodologia de Avaliação da aptidão agrícola das terras, que consiste em uma avaliação física das terras, fundamentada nas suas qualidades e em níveis de manejo para diferentes usos. Para tal, constitui-se por cinco fatores para avaliar as condições agrícolas: deficiência de oxigênio, deficiência de fertilidade, deficiência de água, suscetibilidade a erosão e impedimentos à mecanização. O nível de manejo mais indicado para os solos da bacia hidrográfica do rio Goiana é o B. A declividade foi um importante fator limitante das formas de utilização do solo da área. Existem alguns casos em que o nível de manejo C é indicado para utilização, sendo de forma restrita para os Neossolos Flúvicos na área de clima tropical úmido e regular na área dos Luvissolos presente no clima semiárido.
KORONAVİRÜS PANDEMİSİNİN GEBELERDEKİ ANKSİYETE VE DEPRESYON ÜZERİNE ETKİSİ
Authors: Çiçekli Nayif , Denizli Ramazan , Özdemir Cem Yağmur , Farisoğulları Nihat , Özdemir Mikail , Sakin Önder
Published: October 2022

AMAÇ: Tüm dünyayı etkisi altına alan COVID-19 pandemisiyle savaş devam etmektedir. Pandemi tüm insanlarda olduğu gibi gebelerde de olumsuz psikolojik yükü arttırmıştır. Bu çalışma COVİD-19 pandemi sürecinin, sosyoekonomik durumu kötü olan bir coğrafi bölgede gebelerdeki anksiyete ve depresyon durumu üzerine etkilerini araştırmayı amaçlamaktadır.GEREÇ VE YÖNTEM: Hastanemize başvuran 200 gebe Beck Anksiyete Ölçeği (BAÖ) ve Hasta Sağlığı Anketi-9 (HSA-9) ile değerlendirildi.BULGULAR: Eşten destek almayan gebe kadınlarda ortalama HSA-9 skoru anlamlı olarak daha yüksekti (p=0,008). Gelir durumu kötü olan gebe kadınların ortalama BAÖ skoru, geliri durumu iyi olan gebe kadınların ortalama BAÖ skoruna göre anlamlı olarak daha yüksek bulundu (p=0,015). Post-hoc analizine göre, kronik hastalıklara göre BAÖ skorunun anlamlı olarak değişmediği saptandı.SONUÇ: Pandemi döneminde, sosyoekonomik düzeyi düşük bir coğrafi bölgede yapılan bu çalışma, gebe kadınlarda anksiyete ve depresyon sıklığının arttığını belirledi. Anksiyete ve depresyonun olası komplikasyonlarından kaçınmak için olguların taranması ve gereksinim duyulması halinde profesyonel destek sağlanması gerekmektedir.
THE RELATIONSHIP BETWEEN DYSLIPIDEMIA AND THE RISK OF COVID 19 INFECTION
Authors: Kuzeytemiz Mustafa
Published: October 2022

OBJECTIVE: The recent coronavirus disease 2019 (COVID-19) outbreak has become a worldwide public health problem. Hypertension, diabetes mellitus, obesity, chronic heart and lung diseases increase the risk of development of COVID-19 infection and severe COVID-19 disease. In this study; we aimed to investigate whether hyperlipidemia alone increases the risk of development of COVID-19 infection.MATERIAL AND METHODS: One hundred-thirty four patients who were hospitalized with the diagnosis of COVID-19 and did not have any chronic disease and one hundred-twenty-two healthy controls were included in this study. The average of the lipid values of the patient group in the last 6 months before admission was calculated. Likewise, the average of the lipid parameters of the control group in the last 6 months was taken.RESULTS: There were no differences between two groups with regard to age, gender, and laboratory characteristics. Triglyceride and Low-density lipoprotein cholesterol values were significantly higher and High-density lipoprotein cholesterol levels were significantly lower in the COVID-19 patients compared to the control subjects (p < 0.01).CONCLUSIONS: Although research on the association of dyslipidemia with COVID-19 is still insufficient, our findings show that serum cholesterol levels are significantly associated with the risk of COVID-19 infection.
The perception of people regarding Covid-19 vaccines worldwide- A systematic review
Authors: Zaidi Ilham , Lekha K Shruti , Vardha Jagadeswari , Chander Chitra
Published: October 2022

Vaccination is a boon to humankind. Vaccines against various infectious diseases have helped strengthen our fight against the diseases and improve the health status of people around the globe. The acceptance of the vaccines is the key to the success of the vaccination programs. The covid-19 pandemic has had a tremendous impact on the lives of people all over the world. The mass vaccination against covid-19 is a weapon to fight against the disease and return to normalcy. The review looked at the various factors for vaccine acceptance and vaccine hesitancy among the population. The common perceptions are also documented. Age, gender, marital status, trust in vaccine development, occupation, educational status, race, or region of belonging are a few factors impacting vaccine acceptance or vaccine hesitancy. The various common perceptions regarding vaccine development, efficacy and Sars-Cov2 virus also significantly impact vaccine hesitancy.
BIFURCATIONS OF STATIONARY REGIMES IN THE MODEL OF A WIND POWER PLANT
Authors: Kirsanova A. S.
Published: October 2022

The article should use a mathematical model of a wind power plant. In the chosen world, alternative energy is actively developing, as natural resources for harmful energy carriers are significantly reduced every year. In turn, the energy reserves of life situations turned out to be related to world problems. Thus, the relevance of this problem is solved in the free system of the wind section. The complexity of this work is determined by the fact that the model, which is not defined, is found completely, that is, part of the functions in the mathematical model is setonly graphically, based on experimental data. The graph of relative aerodynamic moment of forces is approximated. The ratio of stationary modes is studied for various values of external resistance of the dynamic model. Conditions are found under which a saddle-node bifurcation and a supercritical AndronovHopf bifurcation are observed in the system.
Preparation of a university teacher for solving innovative methodological problems in the system of advanced training
Authors: Rubtsova T. P.
Published: October 2022

Current trends in higher education define new requirements for quality assurance. Improving the quality of education becomes the goal and result of the activities of higher educational institutions, a guarantor in providing demanded graduates in the labor market. At the same time, the teacher is personally responsible for the learning outcomes in the form of general and professional competencies. There is a transformation of the functions of the teacher, his tasks are changing, taking into account new innovative functions in the activity, and there is also a need for their readiness to manage professional training. The article considers an innovative methodological task: conducting intra-university monitoring of the quality of student education. When studying the readiness of a university teacher to solve innovative methodological problems, it is necessary to analyze the trends in the development of education, to identify the main directions. The analysis showed that there is a need for teachers who implement new innovative tasks that can be set for a teacher on the basis of intra-university monitoring.
LncRNA NEAT1 regulates the growth, migration, and invasion of the human esophageal cancer cells via the miR-377/E2F3 axis
Authors: Du Weijia , Xu Ping , Yin Hang
Published: October 2022

Esophageal cancer is a highly aggressive and lethal human malignancy. The current study was established with the aim of studying the role of the lncRNA NEAT1 in regulating the growth and progression of esophageal cancer. Esophageal cancer tissues and cell lines showed significantly (P<0.05) upregulated transcript levels of lncRNA NEAT1. The expression of NEAT1 was also upregulated in metastatic tissues compared to nonmetastatic. The elimination of lncRNA NEAT1 led to a significant decrease (P<0.05) decrease in the viabilities of cancer cells due to the induction of apoptosis. Cancer cell migration and invasion were also significantly reduced (P<0.05) upon lncRNA NEAT1. In silico analysis indicated that miR-377 targets lncRNA NEAT1 at the post-transcriptional level, whose overexpression in cancer cells was found to mimic the tumor-suppressive regulatory effects of lncRNA-NEAT1. At the molecular level, the regulatory effects of lncRNA NEAT1 were shown to be modulated by the miR-377/E2F3 signaling axis. The results suggest that the molecular targeting of the lncRNA NEAT1 and miR-377/E2F3 axis could prove beneficial in the management of esophageal cancer.
Urgentna medicina
Authors: Strnad Matej
Published: October 2022

Učbenik Urgentna medicina je prvi univerzitetni učbenik s področja urgentne medicine izdan v slovenščini in je sestavljen iz treh delov. Prvi del vsebuje opis organizacijskih posebnosti Nujne medicinske pomoči v Sloveniji in temeljna strokovna poglavja, ki jih mora poznati vsak zdravnik. Drugi in tretji del zajemata izbrana poglavja iz bolezenskih nujnih stanj in poškodb. Učbenik obravnava najpogostejša nujna stanja, s katerimi se srečamo v urgentni medicini in vsebinsko sledi priporočilom Evropskega združenja za urgentno medicino za dodiplomsko izobraževanje. Posamezni prispevki so zasnovani na način, da je najprej predstavljena patofiziologija, ki ji sledi klinična slika oz. prezentacija bolnika, klinična obravnava in vzročno zdravljenje. Prav tako smo poseben poudarek namenili kliničnemu razmišljanju zdravnika v urgentni medicini. Učbenik Urgentna medicina je namenjen študentom medicine na dodiplomskem študiju kakor tudi zdravnikom pripravnikom za pripravo na strokovni izpit. Učbenik bo koristen pripomoček tudi za druge zdravnike, ki delajo v nujni medicinski pomoči.
Spiritual inclinations in post-pandemic travel
Authors: Kainthola Snigdha , Robledo Marco , Chowdhary Nimit R.
Published: October 2022

The detrimental impact of the COVID-19 on the world has ensued unrest amongst people. The reverberations of the life-threatening virus are conspicuous in all realms of life culminating in physical and psychological disturbance. The fear of loss of life, threatened livelihood and enforced seclusion has resulted in psychological morbidities. The existing literature demonstrates the positive effects of spirituality and religion in the life of someone mentally ailing as an efficient way of coping with problems. Spirituality is believed to provide positive emotions such as hope, courage and perspective to individuals. The current article based on a review of the literature highlights the burgeoning of post-pandemic spiritually-inclined travel to restore the balance of life. It adds to current knowledge on the effect of the pandemic on the human psyche and the mitigating effects of spirituality. The results also allow better marketing, management, and design techniques for the spiritual tourism product by providing knowledge on tourist behaviour post-pandemic. The conclusions from the review aim to evoke governments to accord more attention towards the mental health of individuals and advance programmes to help the distressed.
Nonantropocentryzm w ujęciu ekologii głębokiej
Authors: Mateja-Furmanik Magdalena
Published: October 2022

Wzrost społecznego niepokoju związanego ze stanem zanieczyszczenia środowiska, kurczeniem się zasobów naturalnych, zmiejszaniem się arktycznej czapy lodowej – by wymienić tylko kilka – doprowadził do zwiększonego zainteresowania ruchami ekologicznymi. Podczas gdy "płytkie ruchy ekologiczne" skupiają się na szukaniu technologicznych rozwiązań zaistniałego kryzysu lub dążą do ochrony środowiska poprzez wprowadzenie zmian na poziomie administracyjnym, głęboka ekologia stara się dotrzeć do najgłębszego źródła problemu, jakim są podstawowe założenia ludzkiego światopoglądu. W tym artykule opisuję rozwój pojęcia antropocentryzmu wraz z jego implikacjami ze szczególnym uwzględnieniem wielkiego łańcucha bytów, który uważam za podstawowe pojęcie zachodniej kultury. Następnie przedstawiam alternatywny pogląd ekologii głębokiej wraz z jej ujęciem środowiska jako sieci istotowych relacji, ekologicznego-ja oraz biosferycznego egalitaryzmu.
Análisis de la visualización de datos de la preparación y respuesta global ante amenazas epidemiológicas: el COVID-19 como caso de estudio
Authors: Vargas-Ortiz Mauricio A.
Published: October 2022

La visualización de datos de este proyecto pretende proporcionar una manera eficaz de establecer relaciones y conclusiones entre la realidad económica, las acciones tomadas, la velocidad con la que estas fueron tomadas luego de la detección del primer caso y el posterior balance entre total de casos y la mortalidad causada por el virus SARS-CoV-2. Adicionalmente, plantea una propuesta de evaluación de la preparación y respuesta ante amenazas epidemiológicas mediante el esquema 7-1-7. Esto a través del desarrollo de la visualización de datos de la respuesta mundial y la preparación ante una amenaza epidemiológica utilizando el COVID-19 como caso de estudio.

El uso de la metodología de desarrollo de proyectos de visualización de datos elaborada por F. Hernández-Castro describe el proceso de investigación en fases de selección del tema, investigación, recolección, análisis y relaciones de datos; identificación del dominio, desarrollo de preguntas objetivo, limpieza y proyección de datos; análisis y selección de paradigmas, implementación y validación ejemplificada por el empleo de las normas ISO 25062-2006 e ISO 9241-11. 

Los principales hallazgos durante la etapa de validación detallan que la visualización es eficiente en la estructura de los elementos, con el fin de facilitar la navegación de los datos al seleccionar y experimentar con estos. Por otro lado, la visualización es efectiva en el grado aceptable, debido a la presencia de errores tendientes a pocas asistencias en su uso. Y, finalmente, es satisfactoria con una puntuación final en la escala de usabilidad del sistema por encima del valor excelente, con 89 de 100 puntos disponibles. 

De acuerdo con los resultados, la visualización presenta un buen ambiente para generar las conclusiones mencionadas. Finalmente, se debe destacar que la visualización pretende fomentar el análisis y la generación de conclusiones con el fin de crear panoramas, aprender de estos, mejorar la preparación y la respuesta mundial ante amenazas epidemiológicas.
Climate warming impact on the carbon balance in forest soils in Russia
Authors: Stolbovoy V. S.
Published: October 2022

The carbon balance in forest soils (CBFS) was studied on the basis of the geostatistical process model “BIGIN” (Biosphere Greenhousegas Inventory). Warming in boreal forests in the baseline period (1990 ± 5 yr.) initiates a shift in the CBFS towards its decrease, i. e. CO2 source. In the horizon “O”, the decrease in the CBFS is minus 101.4 MtC. The warming of the climate by 1.5 °C and 3 °C will cause a further decrease in the CBFS by 345.7 MtC and 691.4 MtC, respectively. In moderately warm forests, climate warming initiates the formation of a positive CBFS, i. e. CO2 sink. In the horizon “O” of the soils of moderately warm forests, climate warming in the baseline period and in the future leads to the development of positive CBFS, i. e. CO2 sink of 62.4 MtC, 212.8 MtC and 425.4 MtC, respectively. Positive changes in the CBFS in boreal and moderately warm forests in the studied range of climatic temperatures were noted in the horizon “A1” (7.3 MtC, 24.9 MtC and 49.8 MtC) and the horizon “Bh” (14.1 MtC, 48.0 MtC, 96.2 MtC). Climate warming initiates a total negative CBFS (minus 17.6 MtC). Further warming of the climate by 1.5 °C and 3.0 °C will lead to a decrease in the CBFS by minus 60.0 MtC and minus 120.0 MtC. In terms of CO2-equivalent, this will amount to 4%, 13% and 27% of the total country annual emission in 2020. Negative CBFS is not an indicator of emission strengthening. The final conclusion about CO2 source/sink can be made only when analyzing the forest ecosystem when conducting a coupled soil-stand analysis. The error in the estimation of the CBFS in the soil organic profile in the baseline period is ± 23.0 MtC at a confidence level of P = 0.67 and ± 47 MtC at a confidence level of P = 0.95. With an increase in temperature by 1.5 °C, the error will be ± 80.0 MtC and ± 160.0 MtC at confidence levels of P = 0.67 and P = 0.95 respectively. The magnitude of the error will be ± 160.0 MtC and ± 320.0 MtC at confidence levels P = 0.67 and P = 0.95 respectively with an increase in temperature by 3.0 °C.
Fracture strength and failure load of CAD/CAM fabricated endocrowns performed with different designs
Authors: Souza Fernanda Angeloni de , Cumerlato Catarina Borges da Fonseca , Feltrin Pedro Paulo , Inoue Ricardo Tatsuo , Zanetti Raquel Virginia
Published: October 2022

Aim: Endocrown restorations are commonly used to rehabilitate endodontically treated posterior teeth and their use is wellfounded in these cases. However, to date, there is little scientific evidence of their behavior in anterior teeth. The aim of this in vitro study was to evaluate the compressive strength of upper central incisors teeth, restored with glass-ceramic total crowns by the conventional anatomical core technique, and compare them to teeth restored with endocrowns with and without the presence of ferrule. Methods: Thirty teeth were randomly distributed into three groups: GE2 - endocrown group with 2 mm ferrule, GE0 - endocrown group without a ferrule, and GC - conventional crown with intraradicular post group. Crowns were cemented and teeth submitted to the 45o compression test until the fracture happened. Fractured specimens were analyzed to determine the fracture pattern. Descriptive analysis of the variables was performed and one-way analysis of variance was utilized to analyze the data for significant differences at p < 0.05. Results: The results of the control group (284.5 ± 201.05N) showed the highest fracture resistance value, followed by the 2mm group (274.54 ± 199.43N) and by the 0mm group (263.81 ± 80.05N). There was no statistically significant difference between all the groups (p = 0.964). Conclusions: The absence of a cervical enamel necklace favored a debonding of the pieces and endodontically treated anterior teeth could be restored with endocrown, which could be considered a conservative and viable treatment option.
Rinderpest and its eradication
Authors: TAYLOR W.E. , GIBBS E.P.J. , BANDYOPADHYAY S.K. , PASTORET P.-P. , ATANG P.
Published: October 2022

This book is dedicated to those who, over centuries, relentlessly battled the scourge of rinderpest and ultimately succeeded in its eradication. It is also dedicated to the memory of those countless animals that died of rinderpest.
Carbon footprints of forest degradation and deforestation by “basic-needs populations”: a review
Authors: Francesconi Wendy , Vanegas-Cubillos Martha , Bax Vincent
Published: October 2022

Forest conversion caused by subsistence or “basic needs populations” is difficult to track and measure. As the dynamics of these populations change over time, their carbon footprint impacts on natural resources also change. To reduce their potential negative impacts on forest resources, it is critical to understand what underlying causes influence their livelihoods practices. A systematic review was conducted to search for common basic needs livelihoods that result in forest loss and degradation, and thus in carbon footprint changes. Livelihood activities were grouped into seven themes (animal husbandry, crop production, fishing, illegal practices, non-timber forest products, and wood harvest). Under these themes, a non-comprehensive list of 25 activities was combined with “deforestation” and “forest degradation” as search terms in Scopus and Web of ScienceTM. A two-level snowball sampling procedure was applied to the resulting screened publications. The review produced 2200 outputs, with a final sample of 101 articles and 161 basic needs communities described. The results show that wood harvesting and crop production were the most common livelihood activities engaged in by basic needs populations. Population pressure and alternative income sources were frequently mentioned as underlying causes influencing deforestation and forest degradation and likely affecting carbon footprints through land cover change. Often considered sustainable, livelihood activities by basic needs populations can become unsustainable in response to changes in contextual and socioeconomic factors. These factors are often interrelated, leading to environmental downward spirals, which increase carbon footprints through greater demands for natural resources resulting in deforestation and forest degradation.
Clinical possibilities of HER2-positive breast cancer diagnosis using alternative scaffold proteins
Authors: Bragina O. D. , Chernov V. I. , Deyev S. M. , Tolmachev V. M.
Published: October 2022

HER2-positive breast cancer occurs in 15–20% of breast cancer patients and is associated primarily with a poor prognosis of the disease and the need for highly specific targeted therapy. Despite the clinical importance of determining HER2/neu, traditional diagnostic methods have their disadvantages and require the study of new additional research techniques.

The information presented in this review makes it possible to consider current trends in the radionuclide diagnosis of HER2-positive breast cancer using the latest class of alternative scaffold proteins and to consider various aspects of their use in clinical practice.
Diagnostic radiology methods for assessing coronary artery bypass graft viability
Authors: Vesnina Zh. V. , Grakova E. V.
Published: October 2022

The review describes available modern radiological methods which are currently applied for a detailed and comprehensive anatomical and functional assessment of the viability of various coronary artery bypass grafts. In addition, it presents some aspects of the implementation of these methods and clinical interpretation of the results.
Promising directions in the treatment of chronic heart failure: improving old or developing new ones?
Authors: Kalyuzhin V. V. , Teplyakov A. T. , Bespalova I. D. , Kalyuzhina E. V. , Terentyeva N. N. , Grakova E. V. , Kopeva K. V. , Usov V. Yu. , Garganeeva N. P. , Pavlenko O. A. , Gorelova Yu. V. , Teteneva A. V.
Published: October 2022

Unprecedented advances of recent decades in clinical pharmacology, cardiac surgery, arrhythmology, and cardiac pacing have significantly improved the prognosis in patients with chronic heart failure (CHF). However, unfortunately, heart failure continues to be associated with high mortality. The solution to this problem consists in simultaneous comprehensive use in clinical practice of all relevant capabilities of continuously improving methods of heart failure treatment proven to be effective in randomized controlled trials (especially when confirmed by the results of studies in real clinical practice), on the one hand, and in development and implementation of innovative approaches to CHF treatment, on the other hand. This is especially relevant for CHF patients with mildly reduced and preserved left ventricular ejection fraction, as poor evidence base for the possibility of improving the prognosis in such patients cannot justify inaction and leaving them without hope of a clinical improvement in their condition. The lecture consistently covers the general principles of CHF treatment and a set of measures aimed at inotropic stimulation and unloading (neurohormonal, volumetric, hemodynamic, and immune) of the heart and outlines some promising areas of disease-modifying therapy.
Executive dysfunction in affective disorders: differences in bipolar affective disorder and depressive episode
Authors: Galkin S. A. , Vasilieva S. N. , Simutkin G. G. , Ivanova S. A.
Published: October 2022

Aim. To identify the differences in executive function (inhibitory control, working memory, cognitive flexibility) between patients with bipolar affective disorder and depressive episode.

Materials and methods. A total of 72 patients with affective disorders aged 20–40 years were examined. Of them, 30 patients had bipolar affective disorder, a current episode of mild or moderate depression, and 42 patients had a mild, moderate, and severe depressive episode without symptoms of psychosis. The executive function was evaluated using PsyToolkit, a set of software tools for programming psychological experiments. Computerized Go/ No–go tasks (assessment of inhibitory control and psychomotor functions), the Corsi block-tapping test (assessment of visual and spatial working memory capacities), and the Stroop Color and Word Test (assessment of cognitive flexibility) were used.

Results. An intergroup comparison of patients revealed that patients with bipolar disorder significantly more often demonstrated false button press in the Go/No–go task (p = 0.043); however, they exhibited a greater working memory capacity in the Corsi block-tapping test (p = 0.049) compared with patients with a depressive episode.

Conclusion. Important data were obtained regarding the specifics of executive dysfunction depending on the type of affective disorder. The presented data expand and supplement available information about the cognitive characteristics of patients with bipolar affective disorder and depressive episode, which may be useful in clinical practice and serve a focus of future research.
In-silico Analysis Potential Of Curcuma zedoaria As A Candidate For Degenerative Disease Therapy
Authors: Damayanti Fitria Dwi , Setiawan Risma Ayu , Maretha Tri Luthfiana , Andhani Trikxy Viori , Awwaluddin Faiznanda , Prihantono Resi Puguh , Jamil Ahmad Shobrun
Published: October 2022

Indonesia has a high and diverse biodiversity, particularly in plant species. There are numerous advantages to using various plants that grow in Indonesia. Indonesia is also known for its abundance of spices and other natural resources. Rapid research is required in the use of this plant in order for bio-based products to be widely accepted. Using in-silico predictions by utilizing meta data provided by several credible sites is one of the important rapid methods in analyzing the benefits of the chemical content of Curcuma zedoaria (Temu putih). The goal of this in-silico analysis-based study is to gain an understanding of the pharmacology of a plant known as potency simplicia Curcuma zedoaria. Analyzing metadata from various sources is the research method. Prediction of absorption, distribution, metabolism, and excretion (ADME) was obtained from http://www.swissadme.ch/. The prediction of target proteins for phytochemical compounds of Curcuma zedoaria is available at http://www.swisstargetprediction.ch/, while the construction of active protein networks and interactions after induction of compounds contained in Curcuma zedoaria rhizome is available at https://string-db.org. According to the in-silico analysis performed with some of the software mentioned above, the rhizome of Curcuma zedoaria (Temu Putih) contains 71 active compounds, 64 of which are highly bioavailable. According to in-silico research, Curcuma zedoaria (Temu Putih) contains curcumin compounds (diarylheptanoid) and its derivatives have antioxidant activity, which functions to prevent stress from physiological stimulation that can increase the number of leukocytes.
Clustering of PDQ Participant Student in Faculty of Mathematics and Natural Sciences UII using the ROCK Method
Authors: Yotenka Rahmadi , Dini Sekti kartika
Published: October 2022

The Qur’anic Self-Development (PDQ)-Ta'lim Program is one of the student activities that must be followed by diploma and bachelor program students in Universitas Islam Indonesia (UII). The implementation of PDQ is coordinated by each faculty which is carried out for 4 semesters with 12 meetings for each semester. After carrying out PDQ activities, it is necessary to know the student profiles that can be used as the basis for policy making in the implementation of PDQ activities in the next period. In order to find out the profile of students after participating in PDQ activities, it is necessary to group these students based on related variables. This study uses the ROCK method to group students participating in the PDQ Faculty of Mathematics and Natural Sciences (FMIPA) UII batch 2020. The ROCK method is a robust agglomerative hierarchical-clustering algorithm based on the notion of links. The ROCK method is a suitable clustering method for grouping data with categorical variables. Based on the results of the analysis of the ROCK method of student data for the batch 2020 FMIPA UII, obtained three optimum clusters (k=3) at a threshold value of θ of 0.20. Threshold 0.20 has the smallest SW/SB ratio value of 0.0514 or 5.14% and the largest R-squared value is 61.76% compared to other thresholds.
In Favor Of An Immigration Data Protection Law In Indonesia And Its Utilization For Contact Tracing
Authors: Park Jihyun , Heriyanto Dodik Setiawan Nur
Published: October 2022

Immigration data form a substantial part of the border protection between countries. However, the quality and integrity of each country’s immigration data varies greatly in terms of technology and regulation. A country that has a weak a legal framework on data protection has proven to be easily abused by irresponsible parties. Including when Indonesia tries to carry out tracing by synchronizing the data in the Peduli Lindungi application with immigration data, there will be a potential violation of the privacy rights of individuals. Hence, this study applies a normative and empirical (mix) legal research methodology to analyze two keys issues: what are the advantages of synchronizing the domestic tracing application called Peduli Lindungi to the immigration data? and what kind of legal framework to prevent the misuse of personal data in Indonesia? With regulatory and comparative approaches, this study concludes without powerful legal framework, there will be no legal assurance to the promotion of privacy rights in the synchronization and the use of immigration data for health tracing purposes. From the empirical side, Indonesian’s current policy does not enable monitoring or evaluating authority to scrutinize ministerial activities in collecting and utilizing personal data. Moreover, by considering several problems of data breach in Indonesia, a single and unified data protection law is needed to integrate and provide uniformity of implementation for data protection.
Establishment Of A General Election Court System In Indonesia
Authors: Singaruju Rayendra Erwin Moeslimin
Published: October 2022

General election disputes in Indonesia frequently cause political and legal issues. Unfortunately, an established dispute resolution institution is not available. This article aims to address this need by addressing the reasons existing legal policy on general election dispute resolution has not succeeded in resolving general election disputes transparently, accountably, and fairly, and the legal policy design and requirements of an ideal general election court for the future. This was a normative legal study using a statutory, case, and conceptual approach. The results of the study showed that the existing legal policy of general election dispute resolution has not been manifested as a strong and stable institution. Two courts, namely the Supreme Court and the Constitutional Court, with different characters and constitutional mandates, alternately have become the forum for resolving general election disputes. The different procedures and decisions between the two courts often negate each other, causing legal uncertainty which ultimately fails to provide justice. In the future, therefore, it is necessary to establish a general election court institution with a special mandate to adjudicate election disputes based on the Election Law to create legal consistency, legal certainty, and fair settlement of election disputes.
Investigation of Early-Stage Breast Cancer Detection Using Quantum Neural Network
Authors: Al Ali Musaddiq , Sahib Amjad , Al Ali Muazez
Published: October 2022

Computer-aided image diagnostics (CAD) have been used in many fields of diagnostic medicine. It relies heavily on classical computer vision and artificial intelligence. Quantum neural network (QNN) has been introduced by many researchers around the world and presented recently by research corporations such as Microsoft, Google, and IBM. In this paper, the investigation of the validity of using the QNN algorithm for machine-based breast cancer detection was performed. To validate the learnability of the QNN, a series of learnability tests were performed alongside with classical convolutional neural network (CCNN). QNN is built using the Cirq library to perform the assimilation of quantum computation on classical computers. Series of investigations were performed to study the learnability characteristics of QNN and CCNN under the same computational conditions. The comparison was performed for real Mammogram data sets. The investigations showed success in terms of recognizing the data and training. Our work shows better performance of QNN in terms of successfully training and producing a valid model for smaller data set compared to CCNN.
Dynamic Behaviour of Monodisperse Double Emulsion Formation in a Tri-axial Capillary Device
Authors: Dai Yuchen , Cha Haotian , Nguyen Nhat-Khuong , Ouyang Lingxi , Galogahi Fariba , Yadav Ajeet Singh , An Hongjie , Zhang Jun , Ooi Chin Hong , Nguyen Nam-Trung
Published: October 2022

We investigated experimentally, analytically and numerically the formation process of double emulsion formations under dripping regime in a tri-axial co-flow capillary device. The results show that mismatches of core and shell droplets under a given flow condition can be captured both experimentally and numerically. We propose a semi-analytical model using the match ratio between the pinch-off length of the shell droplet and the product of the core growth rate and its pinch-off time. The mismatch issue can be avoided if the match ratio is lower than unity. We considered a model with the wall effect to predict the size of the matched double emulsion. The model shows slight deviations with experimental data if the Reynolds number of continuous phase is lower than 0.06, but asymptotically approaches to good agreement if the Reynolds number increases from 0.06 to 0.14. The numerical simulation generally agrees with the experiments under various flow conditions.
How Schools Perceive the Rural Environment in the Iberoamerican Context: An Approach to Sustainability
Authors: Monteagudo Diego García , Mena Nancy Palacios , García Carlos Fuster , Pizzinato Liliana
Published: October 2022

Rural environment has experienced changes as a result of Covid-19, which encourage the introduction of sustainability in education. However, the representation of rurality in school geography and in the 2030 Agenda are factors that continue to present rurality as a concept opposed to urban spaces. The objective was to investigate the perception that the student has about the rural environment from an instrument and his drawings to understand if the explanation of it allows to introduce elements related to sustainability in educational projects. The quantitative research approach allows analyzing the psychometric properties of an instrument to measure the perception of the rural environment of a sample of 300 fifteen-year-old students from Brazil, Colombia and Spain. Those school knowledges that idealize rurality warn of the pedagogical difficulties to promote the teaching of rurality from sustainability criteria and condition the formation of students from a citizenship committed to social problems. This study is important because it diagnoses the elements that intervene in the teaching of rurality from school geography and provides some suggestions to include sustainability in educational projects.
Antibiotics Modulate Variable Immunological Responses in Sepsis- A Narrative Review
Authors: Saleem Naveed
Published: October 2022

Sepsis is a serious and life-threatening medical emergency associated with dysregulated host immune responses to infection. Like cerebral vascular or acute cardiovascular incidents, sepsis is considered a time-dependent condition having severe and long-term consequences on human health. Apart from organ support, prompt administration of appropriate antimicrobial therapy is crucial to limit the burden of complications related to sepsis in ICU patients. The management of septic patients requires comprehensive and multi-disciplinary strategies for an adequate diagnosis. Most of the ICU population receives empirical antibiotic therapy without having a confirmed diagnosis. The misuse of antibiotics in intensive care units may increase the possibility of developing multidrug resistance along with considerable ecological side effects. The first doses of empirical anti-microbial therapy are slightly higher, regardless of the presence or absence of organ dysfunction, which may upregulate the production of circulating pro-and-anti-inflammatory mediators, having negative effects on the general well-being of the patients. This notion supports the introduction of individualized antimicrobial approaches based on local patterns of resistance to ensure the appropriate dosage of empirical therapy, as well as to limit the emergence of multidrug resistance in advanced-care patients. The adequacy and treatment duration must be viewed at regular intervals for effective de-escalation, and novel diagnostic approaches must be introduced to improve the quality of care in the ICU population.
Nanoscale Waveguide Beam Splitter in Quantum Technologies
Authors: Makarov Dmitry , Makarova Ksenia , Tsykarev Yuliana , Kapustin Sergey , Kharlamova Anastasia , Gusarevich Evgeniy , Goshev Andrey
Published: October 2022

Usually in quantum optics, the theory of large- and small-scale waveguide beam splitters is the same. In this paper it is shown that the theory of the nanoscale waveguide beamsplitter has a significant difference from a similar device, but of a larger scale. It is shown that the previously known theory of the waveguide beam splitter is a particular case of the theory presented here. The wave function at the output ports of the nanoscale beam splitter is analyzed. The results obtained are sensitive to the size of the beam splitter, the coupling parameter of the two waveguides, and the degree of nonmonochromaticity of the photons entering the first and second ports of the beam splitter. The results are important for quantum technologies using a nanosized beam splitter.
Metabolic Modeling Elucidates Phenformin and Atpenin A5 as Broad-Spectrum Antiviral Drugs
Authors: Renz Alina , Hohner Mirjam , Breitenbach Maximilian , Josephs-Spaulding Jonathan , Dürrwald Johanna , Best Lena , Jami Raphaël , Marinos Georgios , Cabreiro Filipe , Dräger Andreas , Schindler Michael , Kaleta Christoph
Published: October 2022

The SARS-CoV-2 pandemic has reemphasized the urgent need to develop broad-spectrum antiviral therapies. Wedeveloped a computational pipeline that uses scRNA-Seq data to reconstruct the metabolic state of cells and tissuesduring viral infection. Using this pipeline, we investigated the cellular capacity to produce SARS-CoV-2 virions invarious tissues and disease conditions. Subsequently, we expanded our analysis to influenza A and dengue virus andidentified several metabolic targets and their inhibitors for broad-spectrum antiviral treatment. Phenformin, an inhibitorof NADH:ubiquinone oxidoreductase, suppressed SARS-CoV-2 and dengue virus replication. Using Atpenin A5 toblock the succinate dehydrogenase inhibited SARS-CoV-2, dengue virus, influenza A virus and respiratory syncytialvirus with superior therapeutic indices. Thus, our work establishes host metabolism as druggable for broad antiviraltherapy. Moreover, our pipeline, the identified targets, and inhibitors are invaluable tools for pandemic preparedness.
Qtc Interval Reference Values and Their (Non)-Maturational Factors in Neonates and Infants: A Systematic Review
Authors: Smet Lisa De , Devolder Nathalie , Salaets Thomas , Smits Anne , Allegaert Karel
Published: October 2022

QTc interval measurement is a widely used screening tool to assess the risk of cardiac diseases, arrhythmias, and is a useful biomarker for pharmacovigilance. However, interpretation of QTc is difficult in neonates due to hemodynamic maturational changes and uncertainties on reference values. To describe trends in QTc values throughout infancy (1 year of life), and to explore the impact of (non)-maturational changes and medicines exposure, a structured systematic review (PROSPERO CRD42022302296) was performed. In term neonates, a decrease was observed over the first week of life, whereafter values increased until two months of age, followed by a progressive decrease until six months. A similar pattern, with longer QTc values was observed in preterms. QTc is influenced by cord clamping, hemodynamic changes, therapeutic hypothermia, illnesses and sleep, not by sex. Cisapride, domperidone and doxapram result in QTc prolongation in neo-nates. Further research in this age category is needed to improve primary screening practices, earlier detection of risk factors and precision pharmacovigilance.
Modularization Method to Reuse Medical Knowledge Graphs
Authors: Bravo Maricela , González-Villarreal Darinel , Reyes-Ortiz José-A. , Sánchez-Martínez Leonardo-D.
Published: October 2022

During the creation and integration of a health care system based on medical knowledge graphs, it is necessary to review and select the vocabularies and definitions that best fit the information requirements of the system being developed. This implies the reuse of medical knowledge graphs; however, full importation of knowledge graphs is not a tractable solution in terms of memory requirements. In this paper we present a modularization-based method for knowledge graph reuse. A case study of graph reuse is presented by transforming the original model into a lighter one.
RETRACTED: S1P3 promotes low-grade glioma progression and affects tumor microenvironment infiltration
Authors: Huang Tao , Du Jingxi , Wang Liang , Xie Xuan , Chen Fan
Published: October 2022

The authors have requested that this preprint be removed from Research Square.
Biogenic Mn2O3 activating peroxymonosulfate for phenanthrene removal in soil
Authors: Zhang Hongrui , Long Xizi , Li Xianning
Published: October 2022

While the peroxymonosulfate (PMS) advanced oxidation was regarded as an emerging method to degraded recalcitrant pollutant in soil, the design and synthesis of activator for PMS was still challenging. Here, by using Shewanella oneidensis MR-1, a representative model strain of dissimilatory metal reducing bacteria in soil and sediment, biogenic Mn2O3 nanoparticles was synthesized by the oxidizing of 5 mM Mn(II), to activate the PMS for phenanthrene degrading in soil. It was observed that 77.4% of phenanthrene was removed in soil with biogenic Mn2O3 whereas 55.7% was achieved with chemical synthesized Mn2O3, which was associated with their characterizations: biogenic Mn2O3 presenting faster electron transfer rate and owing to the higher ratio of Mn(III) to donate electrons to PMS. Moreover, the feasibility of this PMS advanced oxidation to soil remediation was further evaluated by the analysis of microbial community diversity. Considering that Mn is abundant in natural soil and groundwater system, biogenic Mn2O3 synthesized in-situ would be a new strategy for soil remediation.
WITHDRAWN: Evaluation of Different Ansatze Designs for Quantum Neural Network Binary Classifiers
Authors: Metawei Maha A. , Said Hazem , Taher Mohamed , ElDeeb Hesham , Nassar Salwa M.
Published: October 2022

For classification problems, ansatz circuits are an efficient and promising quantum-classical machine learning technique. However, a difficult design challenge arises: which quantum circuit should be used for model training? Low depth ansatz circuits have been used in a variety of applications in recent years. The earlier works defined several quantum circuit descriptors to evaluate an ansatz design such as the circuit expressibility, the efficiency with which a quantum circuit may exploit the Hilbert Space, and the entanglement capability, a circuit's capability of detecting data correlation. Additionally in this work, we investigate, measure, and analyze the effect of the number of ansatz repetition layers L, and the expressibility power of the data encoding module. The proposed quantum neural network classifiers were trained on four different classical datasets using 19 hardware-efficient parametrized circuits. The heuristic experimental results show that ansatz designs with high to moderate expressibiliy values outperformed ones with low expressibility values. By analyzing the circuit cost, we see a tendency toward maximizing the number of parameters which helps in the QNN model's convergence. On simulated hardware, we observe that the proposed quantum neural network achieves up to 97.5\% prediction accuracy using the angle data encoding module.
Optimizing machine learning algorithms for spatial prediction of gully erosion susceptibility with four training scenarios
Authors: liu Guoqing , Arabameri Alireza , Santosh Mantosh , nalivan omid asadi
Published: October 2022

Gully erosion causes high soil erosion rates and is an environmental concern posing major risk to the sustainability of cultivated areas of the world. Gullies modify the land, shape new landforms and damage agricultural fields. Gully erosion mapping is essential to understand the mechanism, development, and evolution of gullies. In this work, a new modeling approach was employed for gully erosion susceptibility mapping (GESM) in the Golestan Dam basin of Iran. The measurements of 14 gully-erosion (GE) factors at 1042 GE locations were compiled in a spatial database. Four training data sets comprised of 100%, 75%, 50%, and 25% of the entire database were used for modeling and validation (for each data set in the common 70:30 ratio). Four machine learning models – max entropy (MaxEnt), general linear model (GLM), support vector machine (SVM), and artificial neural network (ANN) – were employed to check the usefulness of the four training scenarios. The results of random forest (RF) analysis indicated that the most important GE effective factors were distance from the stream, elevation, distance from the road, and vertical distance of the channel network (VDCN). The receiver operating characteristic (ROC) was used to validate the results. Area under the curve (AUC) values for the four training samples modeled were 100% (AUC = 0.857), 75% (AUC = 0.884), 50% (AUC = 0.904), and 25% (AUC = 0.859) respectively. These results indicate that the ANN model is highly accurate in GESM, but the 50% sample was most accurate. The other models – SVM (AUC = 0.898), GLM (AUC = 0.853) and MaxEnt (AUC = 0.841) also achieved acceptable results.