bluuebunny/crossref_metadata_2025 huggingface dataset:
Yangian bootstrap for massive Feynman integrals
Authors: Loebbert Florian , Miczajka Julian , Müller Dennis , Münkler Hagen
Published: July 2021

We extend the study of the recently discovered Yangian symmetry of massive Feynman integrals and its relation to massive momentum space conformal symmetry.
After proving the symmetry statements in detail at one and two loop orders, we employ the conformal and Yangian constraints to bootstrap various one-loop examples of massive Feynman integrals. In particular, we explore the interplay between Yangian symmetry and hypergeometric expressions of the considered integrals. Based on these examples we conjecture single series representations for all dual conformal one-loop integrals in D spacetime dimensions with generic massive propagators.
El quehacer teológico de las mujeres: lugar, método y aportaciones
Authors: Guevara Llaguno Miren Junkal
Published: July 2021

El pontificado de Francisco está brindando oportunidades a la reflexión sobre la integración de las mujeres y su visión del mundo y la Iglesia, en el desarrollo de la misión de esta última. Sin embargo, el binomio mujer y teología no significa siempre y en todo lugar lo mismo, y es bueno exponerlo con claridad para no crear equívocos. La oportunidad del momento eclesial permite exponer los logros de las mujeres que en el servicio de la teología llevan muchos años pensando sobre lo específico de su aportación en lo relativo al método teológico; al lugar desde el que se hace la teología; y al particular aporte en el estudio de los tratados teológicos.
Public Perception to Covid-19 Outbreak: Study of Mysticism and Spirituality Shalawat Simtu al-Duror
Authors: Mujib Ahmad , Aziz Abdul , Madrah Muna Yastuti , Muna Nailil
Published: July 2021

The Corona Virus pandemic has created policies to foster people to stay healthy and free from this disease. However, there are groups of people who ignored the covid-19 protocol for some mystical and spiritual reasons. This study taking place in Mranggen central java, observing the Majlis shalawat of Jalatunda. The congregation of zikr and prayers of Jalatunda believe that the shalawat of  Simtu al-Durar may avoid them from all kinds of diseases. The value of mysticism strengthens the spirituality of the congregation.  We use a phenomenological approach to describe and explain each variable into material for analysis. This study found that the mysticism exists in public belief has become a vehicle for the practice of reciting shalawat which further improves the spirituality of the congregation of the assembly.
Grape pomace treatment methods and their effects on storage
Authors: Ageyeva Natalia , Tikhonova Anastasia , Burtsev Boris , Biryukova Svetlana , Globa Ekaterina
Published: July 2021

Introduction. Grape pomace is the most important by-product of winemaking that can be used as an additional raw material. There is a need for an optimal storage technology so that pomace can be further processed to obtain new types of products. We aimed to study the effect of grape pomace treatment on its microflora.

Study objects and methods. We identified and quantified microflora on the fresh and one-month-stored pomace samples from white and red grape varieties. The samples were exposed to conventional drying at 60–65°C, infrared drying at 60–65°C, as well as sulfitation with sulfur dioxide and sodium metabisulfite.

Results and discussion. The pomace microflora can be considered a microbial community. Almost all the samples stored for one month in an open area contained Saccharomyces cerevisiae yeasts, higher concentrations of filmy yeasts of the Candida, Pichia, Hansenula, Hanseniaspora/Kloeckera, and Torulaspora genera, as well as conidia of Mucor, Aspergillus niger, and Penicillium molds. Prevalent bacteria included acetic acid (mainly Acetobacter aceti) and lactic acid (Lactobacillus plantarum, Pediococcus, Leuconostoc) bacteria. These microorganisms significantly changed concentrations of volatile and non-volatile components, decreasing total polysaccharides, phenolic compounds, and anthocyanins 1.7–1.9, 3.7–4.0, and 4.0–4.5 times, respectively. The contents of micromycetes and bacteria in the one-month-stored samples were significantly higher than in the fresh pomace. Predrying and sulfitation decreased bacterial contamination, but to a lesser extent compared to micromycetes.

Conclusion. Long-term storage spoiled pomace, leading to significant changes in its chemical composition. Sulfitation reduced microorganism growth during storage, but did not provide long-term preservation (over a month), while pre-drying at 60–65°C promoted longer storage.
Cross-Cultural Component in the Works of Dagestan Russian-Speaking Authors as a Teaching Subject
Authors: Yakhiyaeva Saidat
Published: July 2021

Cross-cultural analysis has firmly taken its place in linguistics, while the novelty of the term is relative: we are dealing with a new definition of what was meant by the concept of ethnolinguistics, linguistics, and cultural studies. In literary studies, cross-cultural analysis is a new term for culturological comparative studies, i.e. an analysis from the point of view of the "dialogue of cultures", which makes it possible to single out the national images of the world. The aim of the present research was to study the cross-cultural component in the works of the national authors of Dagestan who write in Russian. The study featured Russian-language poetic texts created by Dagestan authors and how they reflect the national identity of the author. Cross-cultural analysis relies on the idea about universal cultural patterns. As a result, Dagestan Russian-language literature can be interpreted as a set of national works written in Russian. Literary text as a role model plays a fundamental role in language acquisition. Reading fiction allows language learners to move away from standardized teaching texts and immerse into the "living" language. While studying a foreign work of art, the learner touches upon both linguistics and culture: it provides information about the social and cultural structure of a foreign community. A positive aspect of using literary texts for educational purposes makes it possible to learn more about the culture of the people, since the texts always reflect the language in its historical, social, and cultural context.
Sports Law in the System of Russian Law
Authors: Kovalenko Elena , Tydykova Nadezhda , Shavandina Olga
Published: July 2021

The research objective was to substantiate the concept of sports law as an independent branch of Russian law. Using the induction method, the authors analyzed the general approaches to understanding any branch of law. They believe that, at the present stage, sports law can be considered a complex branch of law. The systemic-structural method made it possible to present sports law not only through its subject and method, but also through sources, principles, and other attributes. Some of the positions expressed in the scientific publications were questioned by the methods of critical analysis. They used the comparative legal method to analyze the positive foreign experience. As a result, they obtained an authentic concept of sports law. They also defined the groups of social relations, their general characteristics, interpretation method, the concept of sports legal relations, etc. The field of sports legislation needs legal codification. A Sports Code of the Russian Federation would be a logical solution to the problem. It should unite the positive experience of foreign countries. Sports law is a complex branch of Russian law. Its subject is relations in the field of physical culture and sports. This branch of law uses both dispositive and imperative methods. The newly developed system of sources of sports law requires systematization, improvement, and legal codification. The results obtained can be used to expand the scientific understanding of sports law and as a material for lawmaking.
Ring Opening of 1,1’-Sulfonyl Bis-Aziridines Derived from L-Amino Acids and DFT Study of the Affinity Toward Different Nucleophiles
Authors: Khettache Nawel , Dehamchia Mohamed , Hessainia Sihem , Abbaz Tahar , Régaïnia Zine
Published: July 2021

We describe herein the ring-opening reaction of chiral 1,1’-sulfonyl bis-aziridines with
various neutral and anionic nucleophiles including benzylamine, piperidine, acetate, allylthiolate,
cyanide anion and sodium ethoxide. These reactions afforded bis-opened or/and mono-opened
compounds via a regioselective attack on the non-substituted methylene of aziridine ring. The
structures of the products were confirmed based on spectral analysis (IR, 1H NMR and 13C NMR).
A theoretical study by density functional theory (DFT) was used to rationalize the region-selective
ring-opening of starting bis-aziridines.
The Effect of Vancomycin and Silver Combination on the Duration of Antibacterial Activity of Bone Cement and Methicillin-Resistant Staphylococcus aureusBiofilm Formation
Authors: Bozhkova S. A. , Gordina E. M. , Markov M. A. , Afanasyev A. V. , Artyukh V. A. , Malafeev K. V. , Ivan’kova E. M.
Published: July 2021

Background.Local prevention of periprosthetic infection and treatment of infectious complications after various joints arthroplasties includes the use of polymethylmethacrylate-based spacers impregnated with antimicrobial agents. At the same time, the added components are able to change the bone cement characteristics and have variable antimicrobial effect duration. The aim of the studywas to evaluate the duration of antimicrobial activity and the effect on the MRSA ATCC 43300 biofilm formation on bone cement samples with gentamycin impregnated with vancomycin and/or highly dispersed silver.Materials and Methods.Samples were made from bone cement DePuy CMW 1 Gentamicin and mixed with vancomycin and/or highly dispersed silver. The elemental composition was studied by scanning electron microscopy and  micro-x-ray  spectral  analysis.  The  study  of  the  antimicrobial  activity  duration  was  performed  by  daily  applying an  incubation  solution  with  samples  to  the  bacterial  lawn  surface.  The  effect  on  biofilm  formation  was  evaluated  by immersing the test samples in LB-broth with MRSA.Results.The control samples did not have antimicrobial activity (AMA) against MRSA ATCC 43300. Test samples, additionally containing 10 wt.% of vancomycin was effective for 9 days. When adding highly dispersed silver, the lengthening of the samples activity time was recorded. So, when applying 2.5 wt.% of highly dispersed silver, the duration of AMA was 21 days, and when increased to 10 wt.% — 34 days. Energydispersion analysis of the sample surface with 10 wt.% of vancomycin and highly dispersed silver showed that the skeletal structure type contains matrix component based on barium sulfate with silver inclusions. During the study of the samples effect  on  a  typical  strain  biofilm  formation,  no  statistically  significant  differences  were  found  between  the  optical density of gentian violet extracts in the negative control and in the medium with MRSA.Conclusion. The vancomycin with highly dispersed silver combination prolonged the antimicrobial activity of the samples against MRSA ATCC 43300 and effectively prevented the formation of microbial biofilms on its surface. Despite the fact that the conditions of the conducted experiment in vitro are not identical to the conditions of bone cement antimicrobial spacers clinical use, our results indicate the need to use spacers with a known duration of antimicrobial activity and to comply with the terms of temporary structures replacement.
Informing the Development of a Standardized Clinical Definition of Neonatal Abstinence Syndrome: Protocol for a Modified-Delphi Expert Panel
Authors: Khodyakov Dmitry , Jilani Shahla M , Dellva Stephanie , Faherty Laura J
Published: July 2021

Background

Neonatal abstinence syndrome (NAS) is a postnatal withdrawal syndrome that most commonly results from prenatal opioid exposure. Every 15 minutes, an infant is born in the United States with signs of NAS. The field lacks a standardized clinical definition of NAS, complicating discussions on programmatic and policy development to support opioid-exposed mothers and infants.

Objective

The goal of this paper is to describe a protocol for a systematic expert panel process to inform the development of a clinical definition of NAS.

Methods

We will conduct two three-round online modified-Delphi panels using the ExpertLens system and will follow the recommendations for Conducting and REporting of DElphi Studies (CREDES). One panel will focus on developing key components of a clinical definition of NAS, and the second panel will focus on neonatal opioid withdrawal syndrome (NOWS), which is a term that has come into use to differentiate opioid-exposed infants from infants exposed to other substances in utero. However, there is lack of agreement on the precise clinical definition of NOWS and how it is distinct from or overlaps with NAS. Each panel will complete two rating rounds and a discussion round using a similar protocol. We will analyze all rating data descriptively and determine the presence of agreement within and between the two panels. We will also perform thematic analysis of the qualitative comments to contextualize the panel findings.

Results

The panels were convened between October 29 and December 17, 2020. Their results were disseminated and discussed at a national conference on NAS that took place on March 17-18, 2021.

Conclusions

A standardized clinical definition of NAS will help to better characterize NAS incidence and to design effective clinical, public health, and policy interventions to support opioid-exposed mother-infant dyads.

International Registered Report Identifier (IRRID)

DERR1-10.2196/25387
Factors to Effective Telemedicine Visits During the COVID-19 Pandemic: Cohort Study
Authors: Gmunder Kristin Nicole , Ruiz Jose W , Franceschi Dido , Suarez Maritza M
Published: July 2021

Background

With COVID-19 there was a rapid and abrupt rise in telemedicine implementation often without sufficient time for providers or patients to adapt. As telemedicine visits are likely to continue to play an important role in health care, it is crucial to strive for a better understanding of how to ensure completed telemedicine visits in our health system. Awareness of these barriers to effective telemedicine visits is necessary for a proactive approach to addressing issues.

Objective

The objective of this study was to identify variables that may affect telemedicine visit completion in order to determine actions that can be enacted across the entire health system to benefit all patients.

Methods

Data were collected from scheduled telemedicine visits (n=362,764) at the University of Miami Health System (UHealth) between March 1, 2020 and October 31, 2020. Descriptive statistics, mixed effects logistic regression, and random forest modeling were used to identify the most important patient-agnostic predictors of telemedicine completion.

Results

Using descriptive statistics, struggling telemedicine specialties, providers, and clinic locations were identified. Through mixed effects logistic regression (adjusting for clustering at the clinic site level), the most important predictors of completion included previsit phone call/SMS text message reminder status (confirmed vs not answered) (odds ratio [OR] 6.599, 95% CI 6.483-6.717), MyUHealthChart patient portal status (not activated vs activated) (OR 0.315, 95% CI 0.305-0.325), provider’s specialty (primary care vs medical specialty) (OR 1.514, 95% CI 1.472-1.558), new to the UHealth system (yes vs no) (OR 1.285, 95% CI 1.201-1.374), and new to provider (yes vs no) (OR 0.875, 95% CI 0.859-0.891). Random forest modeling results mirrored those from logistic regression.

Conclusions

The highest association with a completed telemedicine visit was the previsit appointment confirmation by the patient via phone call/SMS text message. An active patient portal account was the second strongest variable associated with completion, which underscored the importance of patients having set up their portal account before the telemedicine visit. Provider’s specialty was the third strongest patient-agnostic characteristic associated with telemedicine completion rate. Telemedicine will likely continue to have an integral role in health care, and these results should be used as an important guide to improvement efforts. As a first step toward increasing completion rates, health care systems should focus on improvement of patient portal usage and use of previsit reminders. Optimization and intervention are necessary for those that are struggling with implementing telemedicine. We advise setting up a standardized workflow for staff.
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
Authors: Kulkarni Viraj , Gawali Manish , Kharat Amit
Published: July 2021

The use of machine learning to develop intelligent software tools for the interpretation of radiology images has gained widespread attention in recent years. The development, deployment, and eventual adoption of these models in clinical practice, however, remains fraught with challenges. In this paper, we propose a list of key considerations that machine learning researchers must recognize and address to make their models accurate, robust, and usable in practice. We discuss insufficient training data, decentralized data sets, high cost of annotations, ambiguous ground truth, imbalance in class representation, asymmetric misclassification costs, relevant performance metrics, generalization of models to unseen data sets, model decay, adversarial attacks, explainability, fairness and bias, and clinical validation. We describe each consideration and identify the techniques used to address it. Although these techniques have been discussed in prior research, by freshly examining them in the context of medical imaging and compiling them in the form of a laundry list, we hope to make them more accessible to researchers, software developers, radiologists, and other stakeholders.
First-line Advanced Cutaneous Melanoma Treatments: Where Do We Stand?
Authors: Abdulkarim Louay S , Motley Richard J
Published: July 2021

Cutaneous melanoma has always been a dreaded diagnosis because of its high mortality rate and its proclivity for invasiveness and metastasis. Historically, advanced melanoma treatment has been limited to chemotherapy and nonspecific immunotherapy agents that display poor curative potential and high toxicity. However, during the last decade, the evolving understanding of the mutational burden of melanoma and immune system evasion mechanisms has led to the development of targeted therapy and specific immunotherapy agents that have transformed the landscape of advanced melanoma treatment. Despite the considerable strides in understanding the clinical implications of these agents, there is a scarcity of randomized clinical trials that directly compare the efficacy of the aforementioned agents; hence, there are no clear preferences among the available first-line options. In addition, the introduction of these agents was associated with a variety of dermatologic adverse events, some of which have shown a detrimental effect on the continuity of treatment. This holds especially true in light of the current fragmentation of care provided by the managing health care professionals. In this study, we attempt to summarize the current understanding of first-line treatments. In addition, the paper describes the indirect comparative evidence that aids in bridging the gap in the literature. Furthermore, this paper sheds light on the impact of the scarcity of dermatology specialist input in the management of dermatologic adverse events associated with advanced melanoma treatment. It also looks into the potential avenues where dermatologic input can bridge the gap in the care provided by oncologists, thus standardizing the care provided to patients with melanoma presenting with dermatologic adverse events.
Leveraging Transfer Learning to Analyze Opinions, Attitudes, and Behavioral Intentions Toward COVID-19 Vaccines: Social Media Content and Temporal Analysis
Authors: Liu Siru , Li Jili , Liu Jialin
Published: July 2021

Background

The COVID-19 vaccine is considered to be the most promising approach to alleviate the pandemic. However, in recent surveys, acceptance of the COVID-19 vaccine has been low. To design more effective outreach interventions, there is an urgent need to understand public perceptions of COVID-19 vaccines.

Objective

Our objective was to analyze the potential of leveraging transfer learning to detect tweets containing opinions, attitudes, and behavioral intentions toward COVID-19 vaccines, and to explore temporal trends as well as automatically extract topics across a large number of tweets.

Methods

We developed machine learning and transfer learning models to classify tweets, followed by temporal analysis and topic modeling on a dataset of COVID-19 vaccine–related tweets posted from November 1, 2020 to January 31, 2021. We used the F1 values as the primary outcome to compare the performance of machine learning and transfer learning models. The statistical values and P values from the Augmented Dickey-Fuller test were used to assess whether users’ perceptions changed over time. The main topics in tweets were extracted by latent Dirichlet allocation analysis.

Results

We collected 2,678,372 tweets related to COVID-19 vaccines from 841,978 unique users and annotated 5000 tweets. The F1 values of transfer learning models were 0.792 (95% CI 0.789-0.795), 0.578 (95% CI 0.572-0.584), and 0.614 (95% CI 0.606-0.622) for these three tasks, which significantly outperformed the machine learning models (logistic regression, random forest, and support vector machine). The prevalence of tweets containing attitudes and behavioral intentions varied significantly over time. Specifically, tweets containing positive behavioral intentions increased significantly in December 2020. In addition, we selected tweets in the following categories: positive attitudes, negative attitudes, positive behavioral intentions, and negative behavioral intentions. We then identified 10 main topics and relevant terms for each category.

Conclusions

Overall, we provided a method to automatically analyze the public understanding of COVID-19 vaccines from real-time data in social media, which can be used to tailor educational programs and other interventions to effectively promote the public acceptance of COVID-19 vaccines.
Prognostic factors of survival in pancreatic cancer metastasis to liver at different ages of diagnosis: a SEER population-based cohort study (Preprint)
Authors: Li Sheng , Wang Moran , Liu Meiqi
Published: July 2021

BACKGROUND

Liver is a common metastatic organ for most malignancies, especially the pancreas. However, evidence for prognostic factors of pancreatic cancer metastasis to the liver at different ages is lacking.

OBJECTIVE

We aimed to evaluate the predictors of patients with pancreatic cancer metastasis to liver grouped by age of diagnosis.

METHODS

We chose the patients diagnosed between 2004 and 2015 from the SEER database. The primary lesions of metastatic liver cancer between sexes were compared using the Pearson’s chi-square test for categorical variables. The overall survival (OS) and cancer-specific survival (CSS) were the endpoint of the study. The prognostic factors were analyzed with the Kaplan-Meier method and log-rank test, and Cox proportional-hazards regression model.

RESULTS

The main primary sites of metastatic liver cancer for our patients are lung and brunchu, sigmoid colon, pancreas, which in males are lung and bronchu, sigmoid colon and pancreas, while breast, lung and bronchu, sigmoid colon in females. Furthermore, we explored the prognostic factors of pancreatic cancer metastasis to liver grouped by age at diagnosis. Tumor grade, histology and treatment are valid prognostic factors in all age groups. Additionally, gender and AJCC N stage in age<52 years old, while race and AJCC N stage in age>69 years old were predictors. Surgery alone was the optimal treatment in group age>69 years old, whereas surgery combined with chemotherapy was the best option in the other groups.

CONCLUSIONS

Our study evaluated the predictors of patients with pancreatic cancer metastasis to liver at various ages of diagnosis.
Exercise Physiology at “Conversational Level” is not Impaired under Wearing Masks or Respirators: Disproving False Myths (Preprint)
Authors: Vicente-Campos Davinia , Sanchez-Migallón Violeta , Calvo-Lobo César , Sanchez-Jorge Sandra , Arce-Palomares Mónica , Vicente Alejandra , Bello-Cuenca Elena , Rodriguez-Sanz David , Becerro-De-Bengoa Ricardo , Chicharro JL
Published: July 2021

UNSTRUCTURED

The aim of this study was to evaluate the effects of the use of both surgical masks and FFP2 respirators on the inspiratory muscle strength, metabolic parameters, heart rate, subjective perceived exertion and dyspnea perception, before and during 30 minutes stable load exercise at “conversational level”. A randomized cross-over study was carried out. Nineteen healthy adults completed 3 conditions (without mask, with surgical mask or FFP2 respirator) during a 30-minute steady-state-test at the lactate threshold intensity. Inspiratory muscle strength was measured before and after the test, and metabolic parameters, heart rate, subjective perceived exertion and dyspnea perception were collected at baseline, during and after the test. There was a significant reduction in inspiratory muscle strength after the 30-minutes-test in all conditions (control:-6.26 mmHg, p<0.5; surgical mask:-8.55mmHg, p<0.01; FFP2respirator:-12.42 mmHg, p<0.001), but without significant differences between them (p=0.283). Data showed a statistically significant effect for time, but did not show a statistically significant interaction between condition and time for heart rate (p=0.674), oxygen saturation (p=0.297), blood lactate level (p=0.991), rating perceived exertion (p=0.734) and dyspnea (p=0.532) comparisons. The present study findings suggested that inspiratory muscle strength and physiological parameters during “conversational level” exercise were not impaired under wearing masks in healthy, non-smoking young adults, who participated in regular recreational physical activity for at least 3 days per week.
A Theory-Based, Multidisciplinary Approach to Cocreate a Patient-Centric Digital Solution to Enhance Perioperative Health Outcomes Among Colorectal Cancer Patients and Their Family Caregivers: Development and Evaluation Study (Preprint)
Authors: Wan Su Wei , Chong Choon Seng , Toh Ee-Lin , Lim Siew Hoon , Loi Carol TT , Lew Yuen Foong Henry , Chua Matthew Chin Heng , Jee Xin Pei , Liu Guangyu , Zhu Lixia , Pikkarainen Minna , He Hong-Gu
Published: July 2021

BACKGROUND

Elective colorectal cancer (CRC) surgeries offer enhanced surgical outcomes but demand high self-efficacy in prehabilitation and competency in self-care and disease management postsurgery. Conventional strategies to meet perioperative needs have not been pragmatic, and there remains a pressing need for novel technologies that could improve health outcomes.

OBJECTIVE

The aim of this paper was to describe the development of a smartphone-based interactive CRC self-management enhancement psychosocial program (iCanManage) in order to improve health outcomes among patients who undergo elective CRC surgeries and their family caregivers.

METHODS

A multidisciplinary international team comprising physicians, specialist nurses, a psychologist, software engineers, academic researchers, cancer survivors, patient ambassadors, and ostomy care medical equipment suppliers was formed to facilitate the development of this patient-centric digital solution. The process occurred in several stages: (1) review of current practice through clinic visits and on-site observations; (2) review of literature and findings from preliminary studies; (3) content development grounded in an underpinning theory; (4) integration of support services; and (5) optimizing user experience through improving interface aesthetics and customization. In our study, 5 participants with CRC performed preliminary assessments on the quality of the developed solution using the 20-item user version of the Mobile App Rating Scale (uMARS), which had good psychometric properties.

RESULTS

Based on the collected uMARS data, the smartphone app was rated highly for functionality, aesthetics, information quality, and perceived impact, and moderately for engagement and subjective quality. Several limiting factors such as poor agility in the adoption of digital technology and low eHealth literacy were identified despite efforts to promote engagement and ensure ease of use of the mobile app. To overcome such barriers, additional app-training sessions, an instruction manual, and regular telephone calls will be incorporated into the iCanManage program during the trial period.

CONCLUSIONS

This form of multidisciplinary collaboration is advantageous as it can potentially streamline existing care paths and allow the delivery of more holistic care to the CRC population during the perioperative period. Should the program be found to be effective and sustainable, hospitals adopting this digital solution may achieve better resource allocation and reduce overall health care costs in the long run.

CLINICALTRIAL

ClinicalTrials.gov NCT04159363; https://clinicaltrials.gov/ct2/show/NCT04159363
Decolonizing Agrarian Knowledge and the Emergence of Indonesian Critical Agrarian Studies
Authors: Luthfi Ahmad Nashih
Published: July 2021

Agricultural production growth has been the main priority in agrarian development in Indonesia but its ends and means have been varied. In the colonial era, an export- oriented colonial plantation system resulted in the transformation of the Indonesian land tenurial system. In the post-colonial period, Soekarno’s regime pursued agrarian development seeking to strengthening people’s land rights through its land reform policies. Land rights were seen as the basis for agricultural production. Soeharto’s New Order regime implemented its Green Revolution policy by developing agricultural mechanization and extensification which managed to improve agricultural production, but it gave greater privileges to the rural elite class and caused dependence on foreign inputs and aid. All agrarian policies were supported by knowledge produced through the research of influential institutions and individuals, including critical responses against the impacts of the transformation of land tenure. In this context, knowledge in agrarian studies with its critical perspectives were re-shaped as part of the process of knowledge decolonization.
Indonesian Authors in Geneeskundige Tijdschrift voor Nederlands Indie as Constructors of Medical Science
Authors: Yani Wahyu Suri
Published: July 2021

Access to the publication Geneeskundig Tijdschrift voor Nederlandsch-Indië (GTNI), a Dutch Indies medical journal, was limited to European doctors. Although Stovia (School ter Opleiding van Inlandsche Artsen) was established to produce indigenous (Bumiputra) doctors, its students and graduates were not given access to GTNI. In response, educators at Stovia founded the Tijdschrift Voor Inlandsche Geneeskundigen (TVIG) as a special journal for indigenous doctors. Due to limited funds, TVIG – the only scientific medical publication for indigenous doctors – ceased publication in 1922. The physicians formed Vereeniging van Inlandsche Geneeskundigen (VIG) an association for pribumi (native) doctors to express various demands for equal rights, one of which was the right to access GTNI. The protests and demands of the bumiputra doctors resulted not only in being granted reading access rights but also being able to become writers for GTNI. Bumiputra doctors who contributed to GTNI included Bahder Djohan and Johannes Leimena. However, they were not the only authors who contributed to GTNI during the Dutch East Indies era. After Indonesia became independent, both doctors played major roles in laying the foundation for Indonesia’s health education system and implementing village-based health policies. This article is part of a research project on Indonesia’s health history using the archives of the GTNI, TVIG and books written by doctors who contributed to GTNI which were published from the early twentieth century onwards. This paper reconstructs the role of GTNI writers in building Indonesian health knowledge.
Characterization and Molecular Identification of Poly Urethane Degrading Bacteria
Authors: Yazhini V. Shree , Prabha M. Lakshmi , Issac Reya
Published: July 2021

Plastics can be considered as the world’s largest pollution that is accumulating in the environment. The degradation of these plastics is difficult because they are accumulated over years and also they are dumped in an area which causes more environmental problems. To reduce the environmental pollution under the waste management with the help of microorganism was taken into account. In those bacteria plays a major role in controlling those problems. Polyurethane can be considered as one of the most used synthetic polymers in the world. Hence, degradation of polyurethane was taken into account in the study with the help of bacteria. In this experiment, we isolated and identified the bacteria that can degrade the polyurethane from the polyurethane buried soil sample. The isolated organism was sequenced and identified at the species level. Enzyme activities of those organisms were also identified along with the degradation process. With the help of this study, we identified a novel bacterium that can degrade polyurethane.
Integrated Assessment of Criticality of the Main Energy Carrier in Explosive Stamping of Large Missile Parts
Authors: Urazbakhtin V F , Urazbakhtin F A
Published: July 2021

К взрывчатым веществам промышленного назначения (ВВ ПН) предъявляются специальные требования, жесткое соблюдение которых обеспечивает расчетную работоспособность основного энергоносителя процесса штамповки взрывом. В этих условиях неизменно возникают критичности. В состоянии критичности в ВВ ПН происходят изменения параметров, которые приводят к нерасчетному процессу штамповки взрывом и некачественному изготовлению крупногабаритных деталей ракеты сложной конфигурации. Например, критичность, связанная со снижением детонационных свойств взрывчатого вещества, приводит к существенному изменению параметров ударной волны, и размеры деформированных заготовок с двойной кривизной в этом случае изменить обычными технологическими методами не представляется возможным. Изменения параметров ВВ ПН должны находиться в пределах, при которых не возникают предельные (неработоспособные) состояния ни по одному показателю критичности. В статье рассматривается возможность количественной оценки критичности, возникающей при переходе взрывчатого вещества от рабочего в неработоспособное состояние. Каждая оценка критичности проводится по характеристикам, принимаемым за интенсивность проявления отдельного свойства рассматриваемого ВВ ПН. В данной математической многофакторной модели состояние объекта оценивается 12 показателями критичности. Вычисленная с помощью математической модели интегрированная оценка позволяет определить состояние взрывчатого вещества при хранении и в ходе проведения штамповки взрывом крупногабаритной детали ракеты. Значение этой оценки указывает степень близости наступления неработоспособного состояния.
Methods of Data Analysis for Use in Intelligent Support Systems for Solving Problems of Processing Monitoring Data for Chemically Hazardous Objects
Authors: Yannikov I M , Telegina M V , Galiakberov R A
Published: July 2021

Статья посвящена вопросам анализа методов обработки данных мониторинга загрязнений потенциально, в первую очередь, химически опасных объектов. Поскольку мониторинг химически опасных объектов имеет свою специфику, в статье приведены основные цели и принципы проведения указанного мониторинга, особенности получаемых данных и требования к методам проведения исследований, которые необходимо учитывать при организации их сбора, обработки и хранения. В целях единого понимания положений работы проведена систематизация методов обработки информации, дана их краткая характеристика. Для более наглядного представления приведено графическое представление методов качественного, количественного и геоинформационного анализа, интеллектуального анализа методов обработки с использованием пространственного аспекта. На основе проведенного аналитического обзора сформулированы преимущества и недостатки рассмотренных групп методов, проведена их приоритизация применительно к специфике обработки данных мониторинга химически опасных объектов. Общие выводы по статье учитывают результаты проведенных авторами исследований по обработке данных мониторинга загрязнений химически опасных объектов. Показано, что использование вышеуказанных методов позволит разработать системы поддержки решения задач обработки мониторинговой информации, способные оперативно обработать большие объемы данных с сохранением высокой точности результатов.
A Review of Performance and Emission Characteristics of a Catalytic Coated CI Engine with Biodiesel
Authors: Yessian Sureshbabu
Published: July 2021

This paper is a review outline of references of CI engine (Combustion Ignition Engine) journals. CI Engine is the most preferred sort of engine as a result of its high thermal efficiency than any other internal or external combustion engine. Due to the demand for petroleum fuel, increasing cost, and hazardous emission by CI Engine, it is required to enhance the performance, combustion, and emission characteristics of CI Engine. Bio-fuels are well-tried to be superb substitutes for the present diesel. Nowadays, numerous researches are going on in biodiesel blends at varying ratios to increase the performance of the engine. Also many researches are going on coating the piston head in order to reduce the black smoke at the exhaust.
Renewable Energy Sources Integration and Control in Railway Microgird
Authors: Thanmay Jonnalagadda Rithvik
Published: July 2021

The traffic rail increase implies an increase in the electric energy consumption. Hybridizing the railway sub-stations with hybrid energy sources based on renewable energy sources and storage units connected to a DC bus may be a solution to contribute to the partial independence of energy producers in the sector of traffic rail. A smart control is highly recommended in order to avoid disturbing the traffic or the energy quality of railway lines. This project proposes a reversible, self-adaptive, autonomous and intelligent distributed generator connected to the catenary thanks to the DC bus distributed control by the multi-agent system. The results analysis has shown that the proposed control architecture can be a solution to face the issues related to the traffic railway issues.
Managing Events of your Dreams using Smart Techniques
Authors: Sisodia Yashanjali
Published: July 2021

This application expect to tackle the issues of spreading news and data, and furthermore reduce the issue of conventional events overseeing methodology, for example, loads of paper work, or long line at the requirement work zone. The target of this venture is to build up an android application which gives fascinating information about different events. Also, clients will be ready to deal with their occasion interest, for example, holding their seats in occasions, enlisting at the occasion site, etc. With the headway of civilization arranging various occasions is one of the center pieces of scholastic life. In this time of ICT, sites are viewed as perhaps the best approach to contact individuals. Subsequently the majority of the occasions picked sites as a method of correspondence. Notwithstanding, it values the coordinator a decent measure of cash and time. Again for any generalized individual it is random to keep up and make such sites for several types of occasions namely wedding, reception, birthday, and so forth incessantly. By using many technology like artificial intelligence, machine learning this application is being implemented.
Impact of Covid-19 Pandemic on Trade
Authors: Haidary Ghulam Omer
Published: July 2021

Covid-19 surprised the whole world. It was originally seen as problem for china and then for the South-East Asia. On 17 November 2019 in China, the first COVID-19 infection was identified and on 30 January 2020 in India. As the pandemic continued, many countries had to enter a partial or total lock-down that affected the world economy. China, which was the epicentre of the pandemic, has suffered thousands and thousands of deaths and, at first, had news in the world because the economic trade was not kept too long shut and rapid recoveries were also thought to have occurred. The epidemic Covid-19 definitely very infectious and dangerous disease; spreads rapidly and has a major negative effect on the life and economy(WHO). More than 1 million people have lost their lives since the outbreak in 2019 coronavirus disease (COVID-19), and the global economy is projected to decline by 4.3% in 2020.The virus spreads mainly through small, coughing, sneezing and talking droplets during close contact with people. Instead of travelling over long distances, droplets usually come to the ground or surfaces. Unfortunately, it can be infected by touching and then touching the face of a contaminated surface. It is most contagious in the first three days after symptoms begin, but spreading is possible before symptoms occur and in persons with no symptoms. Millions of jobs are lost, millions of livelihoods are at risk, and another 130 million people are estimated to live in extreme poverty if there is a crisis that continues. This pandemic poses immense challenges and human suffering. The COVID-19 is still unfinished. In many countries there is an increasing number of new COVID-19 cases, while a second wave is already an unhappy situation for many countries. While the pandemic is still highly unclear as to how and when, the unprecedented economic shock caused by the world health crisis has already strongly exposed the pre-existing weaknesses of the world economy and has seriously sparked progress in development around the world. In current literature, the effects of epidemics and pandemics in the manufacturing sector and trades have not been taken into account. Rather, most research on the disruptive effects of public health crises such as these has focused on humanitarian issues, such as the effective distribution of food and other forms of relief (Dasaklis et al. 2012; Ivanov 2020a; Paul & Chowdhury 2020). The effects of these disruptions are serious because these crises have lasting reaction and can have simultaneous impacts on operations at multiple levels, including procurement, production and distribution.
Modelling Road Accident using Poisson regression Models
Authors: Chaudhari Dvij
Published: July 2021

The objective of this research is to evaluate the safety of multi-lane urban roads in India. In this paper, a generalised linear modelling technique is applied for the analysis of the Indian Highway's road accident. The features of road, speed, and traffic data are analysed in Surat on four-lane urban roads. A novel approach to the model of accident prediction for an urban highway is being proposed to include daily average travel (ADT) and average spot speed (AS). The model was developed as a reliant variable and significant variables such as chain width, intersection no, ADT, AS, as separate variables for accidents per kilometre.. The results of the model provide a better assessment of accidents on a multilateral urban road. Because road accidents are different, statistical models do not adequately capture the characteristics of each section. As a result, the results of Poisson regression were the opposite of these variables. There was also no statistically significant type of traffic control. Significant statistically at level 0.05. Accident locations were assessed by correlating the severity of the accident with different attributes. This investigation will contribute to improving urban road safety.
Design and Development of Roll Cage and Steering System of Go-Kart
Authors: Kamat Adinarayan Dhananjay
Published: July 2021

Go-kart is a one of the motor sport which is played globally. This racing does not require any professional drivers or greater speed. It is a light weight and cheaper vehicle which does not require suspension and differential. In this paper we are concentrating on Roll cage and steering system of Go-kart. While keeping it light weight, chassis material is selected as AISI 1018 which give more tensile strength, machinability, and can sustain maximum load. For designing and analysis CATIA and ANSYS soft wares were used. Whereas in steering system the Ackermann steering mechanism is used for attaining maximum cornering speed, without the slippage of tires. This also gives us minimum turning radius, helping us to take sharp turns when the driver has to take sharp corners.
Abandoned Object Detection
Authors: Ravi Anusha
Published: July 2021

In the current fast paced life, security has become an important aspect which cannot be ignored. One of the usually neglected but important division of security in public areas involves the unattended objects. Bombs and other harmful objects that are incendiary cause great harm. And in most of the cases such objects are left unattended for some time before causing harm. As such, unattended objects should be given importance and must be checked to ensure safety. This paper shows a method to identify unattended objects in public areas. This is done by comparing a fixed/initial background frame with frames after a fixed interval. If there is a change in the frames, then that refers to an attended object. No change observed, proves an unattended object which is highlighted by a box. This is done with the help of blob analysis. This paper does this with the help of MATLAB. MATLAB being a software accessible to wide range of people provides an easy process with moderate results. It uses a wide range of predefined functions and toolboxes to do this.
Implementation of 7-Level and 31-Level Cascaded H-Bridge Multilevel Inverters with Reduced Number of Semiconductor Switches
Authors: Sajan CH.
Published: July 2021

Multilevel inverters are widely used because of its increased power rating with reduced harmonics and electromagnetic interference. The proposed 7-level cascaded H-Bridge inverter is symmetrical in nature and uses equal sources of DC voltage. Whereas 31-level cascaded H-Bridge inverter is asymmetrical in nature and uses unequal sources of DC voltage. The PD-PWM modulation technique was used here to achieve switching sequence. The proposed idea was validated through simulation and the results provide better efficiency, fewer low order harmonics and lower switching losses. The proposed topology is simulated using MATLAB / SIMULINK.
AGROBOT
Authors: Bhavana M
Published: July 2021

AGROBOT is a short form for Agricultural robot. Nowadays 40% of the world has chosen agriculture as the major profession, throughout the last decade the event of the automated vehicles and robots are dynamic. This Agrobot project is designed to decrease the labor work of farmers additionally to increasing the speed and accuracy of the work which leads to the saving of time. Agricultural robot includes automation of agriculture. Here, we include ploughing and seeding. First step in agriculture is ploughing and creating loose land and increase in growth of the crop. Second step is to form lines and saw the seeds. This can be accustomed as cut back of human efforts. This robot will receive few command directions through/via Bluetooth with the help of robot controlling mobile app that performs the required actions. Bluetooth module receives the commands and sends it to the Arduino for the functioning of motion of the robot.