bluuebunny/crossref_metadata_2025 huggingface dataset:
Aquifer and Pond Relationship Under Potential Influence of Eucalyptus and Sugarcane
Authors: Terada Rafael , Hirata Ricardo , Galvão Paulo , Saraiva Fernando , Tasse Norio , Bernardino Mariana Luiz , Conicell Bruno
Published: June 2021

A hydraulic interaction between a pond and shallow aquifer in a watershed surrounded by cultivations of sugarcane and eucalyptus trees was evaluated in Brazil. The pond, located in lower topographic levels, was prematurely interpreted as the local shallow aquifer's discharge area, suggesting the groundwater could flow towards the pond. However, water table gradients indicated opposite directions, bringing up questions about the eucalyptus root's potential to access groundwater, consequently lowering the water level and changing the groundwater flow directions. Physicochemical parameters, stable isotopes of δ18O and δ2H, major ions analysis were determined in samples of groundwater and pond water; and geophysical surveys and groundwater level measurements were performed before and after the eucalyptus cutting. The results showed 1) the eucalyptus does not have a significant influence on the groundwater dynamic; 2) the pond behaves as a recharge, not a discharge area; and 3) previously considered as a local flow, the interaction between groundwater and pond is determined by an intermediate flow system, controlled by a near spring, independently of the seasonal variation and land uses.
Effect of Health Education via Mobile Application in Promoting Quality of Life Among Asthmatic Schoolchildren in Urban Malaysia: A Quasi-Experimental Study
Authors: Raimi Abdulaziz Mansoor Al , Chong Mei Chan , Tang Li Yoong , Chua Yan Piaw , Ajeel Latifa Yahya Al
Published: June 2021

BACKGROUND: Bronchial asthma among children is a common chronic disease which may have impact on quality of life. Health education is one of the strategy to improve knowledge and quality of life.OBJECTIVE: The study aims to assess the effect of health education via mobile application (app) in promoting quality of life among schoolchildren with asthma in urban Malaysia.METHODS: A quasi-experimental, pre- and post-intervention design was used in this study during the period September 2016 until April 2017 involving a total of 214 students, randomly assigned into two groups (intervention group and control group). The control group received face-to-face health education while the experimental group received health education via a mobile application.RESULTS: The findings showed that the total score of quality of life (QoL) has improved from a mean total score at pre-intervention (5.31±1.27) to post-intervention (5.66±1.28) for the control group, compared with the experimental group with a mean total score of QoL at pre-intervention (5.01±1.36) and post-intervention (5.85±1.29). A comparison between the experimental and control groups using an independent t-test showed statistically significant differences in their mean QoL scores. The effect of health education via mobile application showed a statistically significant improvement in the mean QoL score from pre- to post-intervention [F (1,288) = 57.46, p = <0.01].CONCLUSION: The use of mobile technology in health education improved QoL as compared to the traditional methods of face-to-face lecture and/or handbooks among schoolchildren with asthma. Thus, educational modules using mobile applications do improve QoL.
Epidemiology of Measles in Bale Zone Southeast Ethiopia: Analysis of Surveillance Data from 2013 to 2019
Authors: Tsegaye Geremew , gezahagn Yenealem , Bedada Shumi , Berhanu Naod , Gudina Gemechu , Mulatu Gadisa
Published: June 2021

Background: Measles remains causes of vaccine preventable deaths in children worldwide. Measles is under the list of weekly reportable diseases in Ethiopia; however, reported cases represent only a small proportion of the expected cases due to weak measles case-based surveillance implementation. This study was aimed to analyze seven years measles surveillance data of Bale zone in order to indicate measles epidemiology and surveillance related gaps.Methods: Cross-sectional study was conducted from May 25-June 25/2019. Study population was all measles cases reported to Bale Zone Health Office from 2013 to 2019. Data were abstracted from seven years measles line list and case-based report by the investigator using data abstraction check list. The data were entered and analyzed using Microsoft excel, and presented in tables and graphs.Result: Overall, 4241 measles cases were reported from 2013 to 2019. Mean age of the cases were 7.15 and 2147 (50.6%) were males. The most affected age group were children under 4 years of age. The analysis indicated that the case fatality rate was 3.07/1000 population. From the total cases reported 248 (5.8%) were measles IgM confirmed. The highest prevalence rate of 141/100,000 populations was reported in 2019. Unvaccinated cases and cases with unknown vaccination status were 890 (21%) and 731(17.2%) respectively. The highest numbers of cases were reported from Ginir and Gololcha districts. Measles cases increase in autumn season of the year and reaches peak in May.Conclusion: Measles is a major cause of morbidity and mortality in Bale zone due to poor immunization coverage. Its case fatality is also high excluding community deaths. From all districts included Ginir reported the highest number of cases. Improving vaccination coverage, early preparedness for annual epidemic cycle and strengthening measles case-based surveillance are important interventions to reduce measles morbidity and mortality.
Who Should Get Vaccinated First? An effective Network Information-driven Priority Vaccination Strategy
Authors: Liu Dong , Tse Chi Kong , Chan Rosa H. M. , Zhan Choujun
Published: June 2021

Approval of emergency use of the Novel Coronavirus Disease 2019 (COVID-19) vaccines in many countries has brought hope to ending the COVID-19 pandemic sooner. Considering the limited vaccine supply in the early stage of COVID-19 vaccination programs in most countries, a highly relevant question to ask is: who should get vaccinated first? In this article we propose a network information- driven vaccination strategy where a small number of people in a network (population) are categorized, according to a few key network properties, into priority groups. Using a network-based SEIR model for simulating the pandemic progression, the network information-driven vaccination strategy is compared with a random vaccination strategy. Results for both large-scale synthesized networks and real social networks have demonstrated that the network information-driven vaccination strategy can significantly reduce the cumulative number of infected individuals and lead to a more rapid containment of the pandemic. The results provide insight for policymakers in designing an effective early-stage vaccination plan.
Structural, Spectroscopic Investigation and Binding Mechanism of 2,5-dibromotoluene With Human Serum Albumin
Authors: Subbiah Jeyavijayan , Muthusamy Ramuthai , Murugan Palani
Published: June 2021

The optimized structure, comparative theoretical and experimental vibrational assignments of 2,5-dibromotoluene (DBT) have been evaluated by density functional theory (DFT) with higher basis set calculations. The global reactivity determination such as energy gap, dipole moment has been explored. The locale reactive sites of the molecule are described by applying the electrostatic potential. The interactions between the bonds are assessed by the natural bond orbital (NBO) investigation. The resonance quality 1H and13C (NMR) shifts of the molecule calculated by GIAO method. Optical transparency of the molecule has been analyzed by theoretical UV-Visible spectra. The binding of toluene with serum albumin protein utilizing in silico has been validated and subsequently, the present work clears the method for scheming the drugs in the dealing of serum albumin.
The TR locus annotation and characteristics of Rhinolophus ferrumequinum
Authors: Yao Xinsheng , Zhou Hao , Zhou Li , Liu Long
Published: June 2021

Rhinolophus ferrumequinumin vertebrate could be divided into αβ or γδ, which are encoded by TRA/D, TRG and TRB loci respectively. TCRs play a central role in mammal cellular immunity, which are functionally produced by rearrangement of V gene, D gene, J gene and C gene in the loci. Bat is the only mammal with flying ability, and is considered as the main host of zoonotic virus, which occupies an important position in the field of public health. At present, little is known about the composition of bat TRs gene. According to the whole genome sequencing results of the Rhinolophus ferrumequinum, and referring to the TR/IG annotation rules formulated by IMGT. We make a complete annotation on the TRA/D, TRG and TRB loci of the Rhinolophus ferrumequinum. A total of 128 V segments, 3 D segments, 85 J segments and 6 C segments were annotated, in addition to compared with the known mammalian, the characteristics of the TRs locus and germline genes of the Rhinolophus ferrumequinum were analyzed.
Moral Judgement as a Method in Historiography: An Analysis of al-Biruni’s al-Athar al-Baqiyah ‘an al-Qurun al-Khaliyah
Authors: Abd Rahim Mohammad Umair , Alias Mohd Syahmir
Published: June 2021

The practice of moral judgement in historiography is a topic in critical philosophy of history. In general, there are two opinions on the practice of moral judgement in history: firstly, those who are against it, such as Croce, Bloch and Butterfield; secondly, those who are in support of it, such as Lord Acton, Ibn Khaldun and al-Biruni. Understanding the practice is crucial in facilitating “intellectual serenity” among historians in deciding on their research method. This article discusses al-Biruni’s position and epistemic justification on the issue of moral judgement in research in history. The analysis of al-Biruni’s perspective, based on his book, al-Athar al-Baqiyah ‘an al-Qurun al-Khaliyah, shows that his epistemic justification on moral judgement in history was influenced by his religious tradition.
Assessment of environmental values, significance and efficiency of the specially protected natural area called “Kartashovsky forest” in the Tyumen region
Authors:   Tyumen State University, Yuriy Vladimirovich PETROV
Published: June 2021

Relevance of the work. The modern management of specially protected natural areas of the Tyumen region is based on the preservation of the existing structure. The region belongs to the few regions where reserves do not function. Strategic regional documents for the development of environmental protection do not contain evaluative characteristics, which does not allow judging the achievement of key performance indicators. In the existing technological and socioeconomic conditions, this approach cannot meet public needs, the formation of a favorable investment climate. Objective: on the basis of an assessment of the environmental value, significance and efficiency of the activities carried out in a separate specially protected natural area, develop proposals for optimizing the management of the “Kartashovsky Forest” natural monument. Methodology of the work: assessment of the environmental efficiency of specially protected natural areas and their regional systems WWF, 2012; spatial assessment is based on the geoinformation method; information base: state information systems of state executive authorities of the Russian Federation, the Tyumen region, the regulatory legal framework of the Russian Federation, the Tyumen region. Results of work and their scope. Based on the assessment of the environmental value, significance and effectiveness of the activities carried out, proposals were developed to optimize the management of the natural monument “Kartashovsky Forest”. Applications: environmental protection in the Tyumen region, regional management of investment attractiveness. Conclusions. The efficiency of the environmental protection activities carried out on the territory of the natural monument “Kartashovsky Forest” can be increased by introducing modern technological management solutions. The proposed solutions, integrated in a single information space, can be applied in the regional environmental management.
Research of the properties of rocks during fragmenting and crushing in mechanical mills
Authors:   1 North Caucasian Institute of Mining and Metallurgy (State Technological University), Vladimir Ivanovich GOLIK
Published: June 2021

Relevance and purpose. The systemic crisis in the mining industry has weakened the provision of the industry with proven reserves of the main types of minerals, which has made the search for technological solutions in order to restore the lost potential of the mineral resource base. Methodology. Theoretical studies of the movement of the grinding charge in the grinding chambers of planetary mills are based on the postulate of the equivalence of the forms of movement of the charge in mills. Grinding equipment of a new technical level is being improved in the direction of increasing the intensity of the effect of grinding bodies on the crushed material. The aim of the study is to increase the intensity of the impact of grinding bodies on the crushed mineral raw materials while minimizing the energy consumption of processing processes. The goal is achieved by integrating analytical and experimental studies with elements of engineering forecasting and modeling of the results. Results and scope. The results of studying the properties of rocks and their changes as a result of crushing and grinding in mechanical mills are presented. Information about devices for measuring the parameters of shock pulses and the practice of their application is systematized on the example of geological differences of rocks. Bench studies have confirmed the theoretically substantiated phenomenon of shock pulse amplitude suppression. The role of the processes of crushing and grinding in mills in the technological chain of waste-free utilization of the tailings of the concentration of chemically exposed ores is detailed. Сonclusions. The phenomenon of increasing the intensity of the impact of grinding bodies on the crushed mineral raw materials with the same energy consumption of processing processes can be used in the modernization of technologies for the development of mineral deposits.
Metallogeny of the Lyapinsky megablock (Subpolar Urals)
Authors: Vladimir Aleksandrovich DUSHIN
Published: June 2021

Purpose of the work: elucidation of the geological structure, manifestations of magmatism, geodynamics and metallogeny of one of the largest segments of the paleocontinental sector of the Lyapin megablock in the Urals. The peculiarity of the metallogenic specialization of the latter for uranium, thorium, rare metals, gold, optical quartz caused both increased interest and contradictory ideas about its geology, composition of rock complexes, their age and genesis. Methodology of the work: generalization, analysis and synthesis of materials from long-term studies of the geology and metallogeny of the region, including experimental, methodological, thematic and geological survey work (GDP-200/2 sheets P-40-VI, P-40-XII) with the involvement of extensive literary sources. Results. For the first time, on the basis of the created formation map and the developed author’s legend of the territory, the geological structure is shown, the geological structure, geodynamic conditions of formation, metallogenic features of uneven-aged rock associations are shown. The Lyapinsky megablock, which corresponds to the Lyapinsky mineragenic zone, is a component of the West Ural megazone of the Ural Mineragenic Province, including the Mankhambovsky, Malopatoksky, Nyartinsky and Sаledsky ore nodes. In their history of development, four metallogenic epochs are distinguished: the Pre-Riphean, Riphean-Cambrian, Paleozoic and MesozoicCenozoic, specialized in noble, rare, radioactive, and non-ferrous metals, the largest objects of which include the Yasnoye, Narodnoye, Turman, Chudnoye, Sosnovoye, Telaizskoye, Torgovskoye, Turupinskoye, Kholodnoye, Kozhimskoye, and others. Conclusions. The results obtained indicate that along with a certain ore specialization of metallogenic epochs, an important factor affecting the ore content of the territory is the activated suture zones established in the course of research, in the areas where the largest ore objects, including stratiform and porphyry deposits, are localized, as well as unconventional objects of the “structural-stratigraphic disagreement” type.
Dry eye disease and associated factors in Kazakhstan and Uzbekistan
Authors: Maskati Q. B. , Kumar Sh. , Chaubey V. , Katakwar N. , Sharma S.
Published: June 2021

Dry eye disease (DED) is an ocular condition with a high prevalence globally. The survey was conducted to understand factors that influence the treatment of DED in Kazakhstan and Uzbekistan and the properties of artificial tears required in its treatment. Purpose. The survey aimed to understand the prevalence of DED in the population of Kazakhstan and Uzbekistan, whether associated ocular diseases and patient lifestyle affected DED treatment, the properties of artificial tears required in the treatment of DED, and the use of artificial tears in conditions other than DED. Material and methods.A total of 457 ophthalmologists participated in the survey that was conducted between June–July 2019 in selected cities of Kazakhstan and Uzbekistan. The questionnaire assessed the number of patients with DEs, associated ocular diseases, contributing factors to poor adherence to DED treatment, major concerns in DED and properties of artificial tears required in the treatment of DED. Results.About 73 % of the doctors in Kazakhstan and all the doctors in Uzbekistan reported that DE-associated ocular diseases and lifestyle of a patient contribute to poor adherence to DED therapy. Doctors in Kazakhstan and Uzbekistan ranked hydration at 1.613 and 1.928, respectively, while considering the properties of artificial tears required for the treatment of DED. Conclusion.A majority of the doctors in Kazakhstan and Uzbekistan considered DE-associated ocular diseases and patient lifestyle as major contributing factors to poor adherence to DED treatment. Doctors from both countries considered hydrating property of artificial tears to be the most important ones for the management of DE.
Optical coherence tomography-angiography as a non-invasive method of pathology diagnosis of the microcirculatory bed of the optic nerve and macula
Authors: Krivosheeva M. S. , Ioyleva E. E.
Published: June 2021

The review discusses the development of optical coherence tomography with the function of angiography, focusing on its advantages, features, and prospects for the diagnosis of fundus pathologies.
Temporomandibular disorders among wind musical instrument players: an integrative review
Authors: Santos Da Silva Carlos José , Valério Patricia , Borges do Nascimento Israel Júnior , Araújo Da Silva Simoura Juliana
Published: June 2021

Dysfunction of the stomatognathic apparatus is a disturbance of the biomechanics of the masticatory system and craniofacial structure, usually generated by tissue damage of its main components (temporomandibular, neuromuscular, and dental-occlusal system, besides in the craniocervical spine) when the morphofunctional adaptability is exceeded. Musical activity is well-known as one of the most complex activities executed by the human musculoskeletal system, as practitioners require to adopt a non-physiological posture. Therefore, by performing an integrative review of the available literature, this study aimed to investigate the potential relationship between temporomandibular disorders and the practice of wind musical instruments. We included peer-reviewed primary studies published in the last ten years, either in English, Portuguese, or Spanish, and with a full-text available. We searched four databases (PubMed, LILACS, Scielo, and Portal Capes), using a specific search strategy using the terms “wind instrument players”, “oral parafunction”, and “temporomandibular disorders”. We excluded articles published before 2011, studies that did not correlate temporomandibular disorders with wind music practice, as well as studies without a full text. Overall, the search retrieved ten primary studies, including 3,206 amateur and professional wind instrument players. Included studies were essentially cross-sectional studies (n= 8) and case-control studies (n= 2). The most common signs and symptoms of temporomandibular disorder and deleterious oral habits among wind players were crackling and popping sounds of the temporomandibular joint, headache, should and neck pain, mouth opening limitation, and temporomandibular joint pain. Three studies identified factors that were statistically associated with the development of temporomandibular disorders (presence of temporomandibular pain, mouthpiece pressure, and higher distance of mandible protrusion). Although we have observed a high prevalence of temporomandibular diseases among musicians who play wind musical instruments, further research is required to clarify better variables and risk factors associated with developing several systemic and oral-related diseases among these individuals.
New water resources technologies
Authors: Bozorg-Haddad Omid , Geranmehr Mohammadali , Yaseen Zaher Mundher , Singh Vijay P.
Published: June 2021

Growing population and increasing water demand, along with limited water resources, pose several challenges to water resources management and planning. Although demand management is one of the critical elements used to reduce water stress, new water resources technologies – such as cloud seeding, fossil water extraction, desalination, extraction of atmospheric water, inter-basin water transfer, and water reuse – can all be effective options to alleviate water scarcity. This chapter discusses and compares each of these technologies with illustrative examples.
Food security from a water perspective
Authors: Kheirinejad Shima , Bozorg-Haddad Omid , Singh Vijay P.
Published: June 2021

Access to enough food to eliminate hunger is a fundamental right of society. Lack of food is an obstacle to social, political, economic, and cultural development of society. Investment in agriculture, support of education, and health development in the community can lead to food security. Water is fundamental to agriculture and hence to food and nutritional security. Water is also vital for plants and livestock. Agriculture has the largest share of water consumption, accounting for about 70% of all freshwater earmarked for human use, and good quality water is needed for production of a wide variety of non-food products, such as cotton, rubber, and industrial oils. In 1948, the Universal Declaration of Human Rights affirmed everyone's right to adequate food. However, accessing adequate food in rural areas in many developing countries depends on access to natural resources, including water. On 28 July 2010, the UN General Assembly declared access to clean drinking water and sanitation as a human right. Significant changes in policy and management across the entire agricultural production chain are necessary to ensure the best use of available water resources to meet the growing need for food and other agricultural products. The Food and Agriculture Organization (FAO) works with countries around the world to improve food security. It has been assisting member states in cooperation with public and private financial institutions since 1964, and has implemented numerous programs to invest in agriculture and rural development. In recent years, emergency aid to meet the urgent needs of people in Economic Cooperation Organization (ECO) member states has been provided through these programs in times of crises, such as earthquakes, floods, droughts, and avian influenza.
Research and design of a Farmer Resilience Index in coastal farming communities of Tamil Nadu, India
Authors: Jayadas Amanda , Ambujam N. K.
Published: June 2021

Climate disasters have a high impact on farming communities in terms of crop loss or reduced income. In the context of disasters, resilience is defined as the capacity to absorb its impacts, bounce back and even improve their previous status. The recent past two disasters namely Cyclone Thane (2011) and the South Indian floods (2015) had caused major crop loss in Cuddalore, India. A Farmer Resilience Index (FRI) has been assessed at the household level using primary data from 93 households (total) in Silambimangalam and Chinnakomatti villages in Cuddalore, with respect to the 2011 and 2015 disasters. The index has 18 parameters and 55 variables under four dimensions, namely, economic, social, technical, and physical. Farmers in both villages have average resilience to precipitation extremes, with FRI of 0.61 and 0.54, respectively. Seventy percent of the total samples are marginal farmers who have the lowest FRI of 0.47 and 4.3% are medium farmers having FRI of 0.83. Marginal farmers are poor and typically belong to lower castes with their farmlands located at lower elevations, which diminish their physical and economic resilience. The outcomes of the index reveal the current adaptive capacities of the farmers and have the potential to support future planning decisions.
Recent Advances in Synaptosomal Proteomics in Alzheimer’s Disease
Authors: Ahmad Faraz , Haque Shafiul , Chavda Vishal , Ashraf Ghulam Md.
Published: June 2021

The current meta-analysis of the cohort review was designed to elucidate the progress
made in neuroproteomics of the synaptosome. The association of the comprehensive synaptic proteome
and its link to physiological or pathological setting is rapidly mounting. Chemical synapses in
the brain are focal hot spots for interneuronal signalling, signal transduction, and its plasticity.
Structurally, synapses comprise axon termini or the presynapse (vesicles filled with neurotransmitters
that function as molecular signals), synaptic clefts (extracellular matrix and adhesion molecules),
and Postsynaptic Density or PSD (with receptors for neurotransmitters that rely upon the
chemical signalling). The pre- and post-synaptic clefts are responsible for mediating and regulating
neurotransmitter release, their receptor binding, and perception rely on chemical signals. Moreover,
short- and long-term structural and functional alterations that are necessary for the optimal higherorder
brain functions are also mainly dependent on the protein dynamics at the synapses. Not surprisingly,
disruptions in synaptic physiology are considered as the major pathogenic mechanisms
underlying the progression of several neurodegenerative disorders, including Alzheimer's disease.
This review briefly discusses the subcellular fractionation protocols and the related biochemical
approaches for the isolation of synaptic compartments. Besides, it discusses the progress made in
understanding the pathological alterations in the synaptic proteome in neurodegenerative disorders,
particularly focussing on Alzheimer's disease dementia..
An Appraisal of Skill Gaps in Bioinformatics Education
Authors: Sharma Smriti , Bhatia Vinayak
Published: June 2021

There has been an exponential rise in the field of bioinformatics in the last decade. The specialists
of this field need to be well versed in computing, statistics, and mathematics, along with expertise
in biological sciences. This review is an attempt to understand the existing skill gaps in the education
of bioinformatics globally and to give the policy developers some indicators while designing the
curriculum of the bioinformatics course. Authors have found that the pace with which this field is developing
is not commensurate with the training and education efforts at the university level globally.
But, on a positive note, academia and industry both seem to recognise this lag, therefore, efforts are being
made in this direction. This review also summarizes the distinctive features needed to integrate bioinformatics
in education for curriculum designing, teaching, and learning methods.
Recent Advances on Polymer-Based Nanocomposite: A Brief Review
Authors: Parida Santosh K.
Published: June 2021

:

This review article is constructed in the form of an extensive source for researchers on polymer nanocomposites covering their structure property, manufacturing techniques, and potential applications when a small number of nanosized particles are added to a host polymer matrix. The exceptional structural, mechanical, and electrical properties of polymer nanocomposites after the addition of inorganic solid nanoparticles are elucidated by the large surface area of doped nanoparticles interacted with host polymer matrices. The conventional method of preparation of polymer nanocomposites makes it more interesting from the point of view of production mechanisms. The present brief review provides a sketch of different synthesis techniques, characterization, applications, along with the safety concerns for polymer nanocomposites.
Videoconferencing for Home Care Delivery in Japan: Observational Study
Authors: Miyatake Hirotomo , Kosaka Makoto , Arita Satoshi , Tsunetoshi Chie , Masunaga Hidehisa , Kotera Yasuhiro , Nishikawa Yoshitaka , Ozaki Akihiko , Beniya Hiroyuki
Published: June 2021

Background

Telemedicine has been increasingly used in many health care fields, including home care, where patients receive medical care at home. Owing to the current COVID-19 crisis, the value of telemedicine via videoconferencing is more recognized, particularly in allowing immobile patients to continue receiving care. However, the efficacy of telemedicine in home care settings in Japan remains to be fully appraised.

Objective

This study aims to identify the use and impact of telemedicine in a singular home care delivery setting in Japan.

Methods

A retrospective observational study was conducted using patient and other administrative records from a home care clinic. We considered patients who were involved in videoconferencing with home care physicians and telepresenters serving patients during 2018 and 2019. We extracted sociodemographic data of the patients and details of the videoconferencing and descriptively illustrated some specific cases.

Results

In a home care clinic in Japan, videoconferencing was conducted in 17 cases (involving 14 patients) over a 2-year period. Of all the cases, 12% (2/17) required emergency transfers and were hospitalized. A total of 88% (15/17) of cases remained; 71% (12/17) of cases were found to need extra medication or to go to a medical facility for consultation, whereas 18% (3/17) of cases were found not to be in need of urgent attention and were asked to rest. Problematic symptoms subsequently improved in 82% (14/17) of cases, and only 6% (1/17) of cases were later hospitalized.

Conclusions

Telemedicine was deemed effective for assessing patients’ conditions in the home care setting in situations where home visits by a physician cannot be carried out. Our findings indicate that consultations via videoconferencing are safe and effective, suggesting more active use of videoconferencing in other clinical contexts.
Obesity and BMI Cut Points for Associated Comorbidities: Electronic Health Record Study
Authors: Liu Natalie , Birstler Jen , Venkatesh Manasa , Hanrahan Lawrence , Chen Guanhua , Funk Luke
Published: June 2021

Background

Studies have found associations between increasing BMIs and the development of various chronic health conditions. The BMI cut points, or thresholds beyond which comorbidity incidence can be accurately detected, are unknown.

Objective

The aim of this study is to identify whether BMI cut points exist for 11 obesity-related comorbidities.

Methods

US adults aged 18-75 years who had ≥3 health care visits at an academic medical center from 2008 to 2016 were identified from eHealth records. Pregnant patients, patients with cancer, and patients who had undergone bariatric surgery were excluded. Quantile regression, with BMI as the outcome, was used to evaluate the associations between BMI and disease incidence. A comorbidity was determined to have a cut point if the area under the receiver operating curve was >0.6. The cut point was defined as the BMI value that maximized the Youden index.

Results

We included 243,332 patients in the study cohort. The mean age and BMI were 46.8 (SD 15.3) years and 29.1 kg/m2, respectively. We found statistically significant associations between increasing BMIs and the incidence of all comorbidities except anxiety and cerebrovascular disease. Cut points were identified for hyperlipidemia (27.1 kg/m2), coronary artery disease (27.7 kg/m2), hypertension (28.4 kg/m2), osteoarthritis (28.7 kg/m2), obstructive sleep apnea (30.1 kg/m2), and type 2 diabetes (30.9 kg/m2).

Conclusions

The BMI cut points that accurately predicted the risks of developing 6 obesity-related comorbidities occurred when patients were overweight or barely met the criteria for class 1 obesity. Further studies using national, longitudinal data are needed to determine whether screening guidelines for appropriate comorbidities may need to be revised.
Language and Sentiment Regarding Telemedicine and COVID-19 on Twitter: Longitudinal Infodemiology Study (Preprint)
Authors: Pollack Catherine C , Gilbert-Diamond Diane , Alford-Teaster Jennifer A , Onega Tracy
Published: June 2021

BACKGROUND

The COVID-19 pandemic has necessitated a rapid shift in how individuals interact with and receive fundamental services, including health care. Although telemedicine is not a novel technology, previous studies have offered mixed opinions surrounding its utilization. However, there exists a dearth of research on how these opinions have evolved over the course of the current pandemic.

OBJECTIVE

This study aims to evaluate how the language and sentiment surrounding telemedicine has evolved throughout the COVID-19 pandemic.

METHODS

Tweets published between January 1, 2020, and April 24, 2021, containing at least one telemedicine-related and one COVID-19–related search term (“telemedicine-COVID”) were collected from the Twitter full archive search (N=351,718). A comparator sample containing only COVID-19 terms (“general-COVID”) was collected and sampled based on the daily distribution of telemedicine-COVID tweets. In addition to analyses of retweets and favorites, sentiment analysis was performed on both data sets in aggregate and within a subset of tweets receiving the top 100 most and least retweets.

RESULTS

Telemedicine gained prominence during the early stages of the pandemic (ie, March through May 2020) before leveling off and reaching a steady state from June 2020 onward. Telemedicine-COVID tweets had a 21% lower average number of retweets than general-COVID tweets (incidence rate ratio 0.79, 95% CI 0.63-0.99; P=.04), but there was no difference in favorites. A majority of telemedicine-COVID tweets (180,295/351,718, 51.3%) were characterized as “positive,” compared to only 38.5% (135,434/351,401) of general-COVID tweets (P<.001). This trend was also true on a monthly level from March 2020 through April 2021. The most retweeted posts in both telemedicine-COVID and general-COVID data sets were authored by journalists and politicians. Whereas the majority of the most retweeted posts within the telemedicine-COVID data set were positive (55/101, 54.5%), a plurality of the most retweeted posts within the general-COVID data set were negative (44/89, 49.4%; P=.01).

CONCLUSIONS

During the COVID-19 pandemic, opinions surrounding telemedicine evolved to become more positive, especially when compared to the larger pool of COVID-19–related tweets. Decision makers should capitalize on these shifting public opinions to invest in telemedicine infrastructure and ensure its accessibility and success in a postpandemic world.
How Should Oncologists Choose an Electronic Patient-Reported Outcome System for Remote Monitoring of Patients With Cancer? (Preprint)
Authors: Denis Fabrice , Krakowski Ivan
Published: June 2021

UNSTRUCTURED

Electronic patient-reported outcome (ePRO) systems for symptom monitoring in patients with cancer have shown quality of life and survival benefits in controlled trials. They are beginning to be used in routine oncology practice. Many software developers provide software solutions for clinicians, but how should clinicians decide which system to use? We propose a synthesis of the main questions regarding the effectiveness, safety, and functionality of an ePRO system that a clinician should ask software providers to assist in the selection of a software product in order to obtain the best value tools for their patients and their practice.
Design and Improvement of Existing Briquette Making Machine
Authors: Shaikh Sohel
Published: June 2021

There has been a recent push to replace the burning of fossil fuels with biofuel. The replacement of this non-renewable energy resources with biological waste lowers the overall pollution of the world. The waste biomass similar to dry leaves, sawdust, rice husk, coffee husk etc. are gathered and compressed into the briquettes, these briquettes can also transport and used as fuel to generate heat and energy. It is a time to take initiative to turn Biomass into a source of energy. Hence here we are taking responsibility in converting agricultural and forestry wastes into useful biomass briquettes, which can also be used as a substitute for Coal and other non-renewable resources. Biomass briquettes are a biofuel substitute or replacement to a coal and charcoal. Biomass briquettes can be manufactured by using agricultural and forestry waste. The low-density biomass Is converted into high density biomass briquettes with the help of a briquetting machine that Uses binder or without binder i.e., binder less technique, as there is no any type of chemical is used so it is 100% natural. The mostly used raw material for biomass briquettes, Mustard Stalks, Sawdust, Groundnut Shell, Coffee Husk, Coir Pitch, Jute Sticks, Sugarcane Bagasse, Rice Husk, Cotton Stalks, Caster Seed Shells / Stalk, Wood Chips, Paddy straw, Tobacco Waste, Tea Waste, maize stalks, bajra Cobs, Arhar stalks, Bamboo Dust, Wheat Straw, Sunflower Stalk, Palm Husk, Soya bean Husk, Veneer Residues, Barks & Straws, Leaf’s, Pine Niddle, Seeds Cases etc. are used. Biomass Briquette are largely used for any type of thermal application, like steam generation in Boilers, in furnace & foundries (It can be used for metal heating & melting where melting point Is less than 1000d/cel.), for heating purpose (Residential & Commercial Heating in winter, Heating in Cold areas and Hotels, Canteens, Cafeterias and house hold kitchen appliances, restaurants etc.), There are several machines available in market but those machines are bulky and are costly, hence here we have developed a portable, low-cost briquetting machine, which makes use of simple mechanism to convert the biological waste into useful briquettes. Any waste or any proportion of Agri waste can be used but with proper binding agent. Some raw materials doesn’t require any binding material high pressure compression is used. The paper presents the results of a project focused on the development of briquettes from the sawdust (Waste Wood) resulting from the primary waste from timber companies. This sawdust currently lacks a useful purpose, and its indiscriminate burning generates CO and CO2 emissions which are harmful to nature. Sawmill Agri waste is a huge problem specially in urban cities. These wastes are burnt openly which is causing environmental pollution and also becomes reason for human health care.
Online Platform for Mentoring Startups
Authors: Menaria Mr. Bharat
Published: June 2021

Mentоrshiр there рrоgrаms аre inсreаsingly оn the аgendа fоr роliсymаkers аnd universities interested in fоstering entreрreneurshiр. Hоwever аre few studies exаmining the саusаl effeсts оf mentоrshiр оn роtentiаl entreрreneurs. We investigаte the imрасt оf the tyрe оf mentоrshiр оn the likelihооd thаt university students will beсоme entreрreneurs. We test whether being mentоred by аn entreрreneur hаs а different imрасt in entreрreneurshiр eduсаtiоn соmраred with mentоring frоm а nоn-entreрreneur with relevаnt industry exрerienсe. We use а lоngitudinаl field exрeriment with а рre-test/роst-test design where students in аn entreрreneurshiр сlаss were rаndоmly аssigned tо reсeive mentоrshiр frоm either entreрreneur оr nоn-entreрreneur mentоrs. Tо оur knоwledge, this is the first rаndоmized triаl оf а mentоring рrоgrаm in entreрreneurshiр.
Pneumonia Detection using Chest X-Ray Images
Authors: Meshram Shruti
Published: June 2021

Pneumonia is among the top diseases which cause most of the deaths all over the world. Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the pneumonia just by looking at chest X-rays. The aim of this study is to simplify the pneumonia detection process for experts as well as for novices. We suggest a novel deep learning framework for the detection of pneumonia using the concept of transfer learning. In this approach, features from images are extracted using different neural network models pre-trained on Image Net, which then are fed into a classifier for prediction. We prepared five different models and analyzed their performance. Thereafter, we proposed an ensemble model that combines outputs from all pre-trained models, which outperformed individual models, reaching the state-of-the-art performance in pneumonia recognition. Our ensemble model reached an accuracy of 96.4% with a recall of 99.62% on unseen data from the Guangzhou Women and Children’s Medical Center dataset.
Strengthening Soil Bearing Capacity with the Use of Synthetic Fiber as Reinforcement
Authors: G Vijay Kumar
Published: June 2021

The spontaneous urbanisation has brought about boom in call for of land, solid for fast and green buildings over it. Hence it's far critical to bolster low bearing potential regions for financial creation practices.To conquer this impediment numerous laboratory tests and research are carried out, comparing the reinforceing impact of geogrid for enhancing bearing potential of soil. This paper objectives to look at the impact of artificial fibrein improving the bearing potential. Krishna river sand is used at exceptional relative density of compaction and handiest one kind of artificial fibre have been used for the tests. The intensity of the muse become various from 0 to B (B=width of foundation). The increase with inside the bearing potential with the availability of synthetic fibre as reinforcement is observed.
Campus Recruitment Management (Online) System
Authors: Tete Prof. Sagar
Published: June 2021

Campus Recruitment Management (Online) System is a software system, this kind of system plays an important role in simplifying the recruitment process in an easy way. This software system is designed on the basis of candidates, companies and training & Placement cell officers. In campus recruitment management system, here we are providing three logs in the registration option for students, company and college training & Placement cell officer. It allows students to enroll / feeding their all details on to the system after that students can apply for campus drive. Even it allows to company to post their job vacancy and all details about incoming drive. College training & Placement cell officer (TPO) has given over all rights to see all details about total company registered and how many students get registered or not, he can add advertisement for students like study material, workshop details etc, is very beneficial for both the parties student & company to build strong communication. It make easier for placement officer to manage or access student information with respect to Placed student. we are also provide one contact detail option facility for both parties through which user can easily post their queries.
Economic Load Dispatch
Authors: Lamba Prof. Kanika
Published: June 2021

ELD or Economic load dispatch is an online process of allocating generating among the available generating units to minimize the total generating cost and satisfy the equality and inequality constraint. ELD means the real and reactive power of the generator vary within the certain limits and fulfils theload demand with less fuel cost. There are some traditional methods for = 1; 2; :::;N) isgiven as Vi=[Vi;1; Vi;2; :::; Vi;D]. The index ivaries from solving ELD include lambda irritation method, Newton-Raphson method, Gradient method, etc. All these traditional algorithms need the incremental fuel cost curves of the generators to be increasing monotonically or piece-wise linear. But in practice the input-output characteristics of a generator are highly non-linear leading to a challenging non-convex optimization problem. Methods like artificial intelligence, DP (dynamic programming), GA (genetic algorithms), and PSO (particle swarm optimization), ALO ( ant-lion optimization), solve non convex optimization problems in an efficient manner and obtain a fast and near global and optimum solution. In this project ELD problem has been solved using Lambda-Iterative technique, ALO (ant-lion Optimization) and PSO (Particle Swarm Optimization) and the results have been compared. All the analyses have been made in MATLAB environment
Detection of Counterfeit Indian Currency
Authors: Ingle Shunottara
Published: June 2021

Lot of the fake currency note is being printed in recent years which has caused great loss and damage to society. So, it has become necessary to develop a tool to detect fake currency. This project proposes an approach that will detect fake currency notes being circulated by using their image. Our project will provide required portability and compatibility to most peoples as well as feasible accuracy for fake currency detection. The paper is about Fake Indian Paper Currency using image processing implemented in Android Studio to make the app portable and efficient. Features of currency notes like color, height, width, ratio, watermarks were extracted. The process starts from capturing or browsing the image of a currency note and then compare its features with the real note and check whether it is fake or original.
Calorie Detection of Food Image based on SVM Algorithm
Authors: Kamble Madhubala
Published: June 2021

Nowadays, standard intake of healthy food is vital for keeping a diet to avoid obesity within the human body . In this paper, we present a totally unique system supported machine learning that automatically performs accurate classification of food images and estimates food attributes. This paper proposes a machine learning model consisting of a support vector machine that classifies food into specific categories within the training a part of the prototype system. The most purpose of the proposed method is to reinforce the accuracy of the pre-training model. The paper designs a prototype system supported the client server network model. The client sends an image detection request and processes it on the server side. The prototype system is meant with three main software components, including a pre-trained support vector machine training module for classification purposes, a text data training module for attribute estimation models, and a server-side module. We experimented with a selection of food categories, each containing thousands of images, and therefore the machine learning training to understand higher classification accuracy.