bluuebunny/crossref_metadata_2025 huggingface dataset:
COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis
Authors: Singh Asmit Kumar , Mehan Paras , Sharma Divyanshu , Pandey Rohan , Sethi Tavpritesh , Kumaraguru Ponnurangam
Published: August 2021

Background

The adoption of nonpharmaceutical interventions and their surveillance are critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions can help shape public health decisions. The efficacy of nonpharmaceutical interventions can be affected by public behaviors in events, such as protests. We examined mask use and mask fit in the United States, from social media images, especially during the Black Lives Matter (BLM) protests, representing the first large-scale public gatherings in the pandemic.

Objective

This study assessed the use and fit of face masks and social distancing in the United States and events of large physical gatherings through public social media images from 6 cities and BLM protests.

Methods

We collected and analyzed 2.04 million public social media images from New York City, Dallas, Seattle, New Orleans, Boston, and Minneapolis between February 1, 2020, and May 31, 2020. We evaluated correlations between online mask usage trends and COVID-19 cases. We looked for significant changes in mask use patterns and group posting around important policy decisions. For BLM protests, we analyzed 195,452 posts from New York and Minneapolis from May 25, 2020, to July 15, 2020. We looked at differences in adopting the preventive measures in the BLM protests through the mask fit score.

Results

The average percentage of group pictures dropped from 8.05% to 4.65% after the lockdown week. New York City, Dallas, Seattle, New Orleans, Boston, and Minneapolis observed increases of 5.0%, 7.4%, 7.4%, 6.5%, 5.6%, and 7.1%, respectively, in mask use between February 2020 and May 2020. Boston and Minneapolis observed significant increases of 3.0% and 7.4%, respectively, in mask use after the mask mandates. Differences of 6.2% and 8.3% were found in group pictures between BLM posts and non-BLM posts for New York City and Minneapolis, respectively. In contrast, the differences in the percentage of masked faces in group pictures between BLM and non-BLM posts were 29.0% and 20.1% for New York City and Minneapolis, respectively. Across protests, 35% of individuals wore a mask with a fit score greater than 80%.

Conclusions

The study found a significant drop in group posting when the stay-at-home laws were applied and a significant increase in mask use for 2 of 3 cities where masks were mandated. Although a positive trend toward mask use and social distancing was observed, a high percentage of posts showed disregard for the guidelines. BLM-related posts captured the lack of seriousness to safety measures, with a high percentage of group pictures and low mask fit scores. Thus, the methodology provides a directional indication of how government policies can be indirectly monitored through social media.
Infant Safe Sleep Practices as Portrayed on Instagram: Observational Study
Authors: Chin Samuel , Carlin Rebecca , Mathews Anita , Moon Rachel
Published: August 2021

Background

Parenting practices are highly influenced by perceived social norms. Social norms and American Academy of Pediatrics (AAP) guidelines for infant safe sleep practices are often inconsistent. Instagram has become one of the most popular social media websites among young adults (including many expectant and new parents). We hypothesized that the majority of Instagram images of infant sleep and sleep environments are inconsistent with AAP guidelines, and that the number of “likes” for each image would not correlate with adherence of the image to these guidelines.

Objective

The objective of this study was to determine the extent of adherence of Instagram images of infant sleep and sleep environments to safe infant sleep guidelines.

Methods

We searched Instagram using hashtags that were relevant to infant sleeping practices and environments. We then used an open-source web scraper to collect images and the number of “likes” for each image from 27 hashtags. Images were analyzed for adherence to AAP safe sleep guidelines.

Results

A total of 1563 images (1134 of sleeping infant; 429 of infant sleep environment without sleeping infant) met inclusion criteria and were analyzed. Only 117 (7.49%) of the 1563 images were consistent with AAP guidelines. The most common reasons for inconsistency with AAP guidelines were presence of bedding (1173/1563, 75.05%) and nonrecommended sleep position (479/1134, 42.24%). The number of “likes” was not correlated with adherence of the image to AAP guidelines.

Conclusions

Although individuals who use Instagram and post pictures of sleeping infants or infant sleep environments may not actually use these practices regularly, the consistent portrayal of images inconsistent with AAP guidelines reinforces that these practices are normative and may influence the practice of young parents.
Consumption of Ultraprocessed Foods in a Sample of Adolescents With Obesity and Its Association With the Food Educational Style of Their Parent: Observational Study
Authors: Borloz Sylvie , Bucher Della Torre Sophie , Collet Tinh-Hai , Jotterand Chaparro Corinne
Published: August 2021

Background

Both parental education and the food environment influence dietary intake and may therefore contribute to childhood obesity.

Objective

We aimed to assess the consumption of ultraprocessed foods (UPFs) in a convenience sample of adolescents with obesity and to determine its association with the food educational style of their parent.

Methods

This observational study included 24 participants, 12 adolescents (8 boys and 4 girls) aged from 12 to 14 years and their 12 parents, who were followed in a specialized pediatric obesity clinic in the French-speaking part of Switzerland. The adolescents were asked to take a photograph with a smartphone application of all meals and beverages consumed in their daily routine over 14 consecutive days. They evaluated their parent’s food educational style using the Kids’ Child Feeding Questionnaire. The parent who was present at the study visits also completed the Feeding Style Questionnaire. A dietitian analyzed the pictures to extract food group portions and to identify UPFs using the NOVA classification. A nonparametric statistical test was used to investigate associations between UPF intake and food educational style.

Results

Overall, the adolescents had unbalanced dietary habits compared to national recommendations. They consumed an insufficient quantity of vegetables, fruits, dairy products, and starchy foods and an excessive amount of meat portions and sugary and fatty products compared to the current Swiss recommendations. Their consumption of UPFs accounted for 20% of their food intake. All adolescents defined their parent as being restrictive in terms of diet, with a mean parental restriction score of 3.3±SD 0.4 (norm median=2.1). No parent reported a permissive food educational style. A higher intake of UPFs was associated with a lower parental restriction score (P=.04).

Conclusions

Despite being followed in a specialized pediatric obesity clinic, this small group of adolescents had an unbalanced diet, which included 20% UPFs. The intake of UPFs was lower in participants whose parent was more restrictive, suggesting the importance of parents as role models and to provide adequate food at home.

Trial Registration

ClinicalTrials.gov NCT03241121; https://clinicaltrials.gov/ct2/show/NCT03241121
Civil society and COVID-19 pandemic in Nagaland: Response in a Democratic Society
Authors: Pongen Moameren , Jamir Dr. Chubakumzuk
Published: August 2021

Civil society plays a very constructive role in a society especially in times of a pandemic. The paper explores the role of civil societies in responding to COVID-19 pandemic in Nagaland. The whole state has been affected by the COVID-19 pandemic since early August-October 2020. Preliminary findings exhibits that civil societies played a vital role in providing emergency services, funding, volunteering, mutual aid, in-kind donations, and even policy advocacy. This article highlights that despite the state government with its limited resources was able to keep the pandemic crisis under control due to the active support and participation of civil societies. As respective civil societies within their own areas came forward in providing essential food and services to the most vulnerable sections of society which got affected the most by the imposition of total and partial lockdowns. This article suggests that the role of civil societies should not be overlooked in the context of pandemic management.
Projected transformations to improve the management of the accounting process at the University of Havana
Authors: Brito Roberto Naveira , Sabina Elvira Martín , Ceballos Sergio Pozo , Saltos María Fernanda Mendoza
Published: August 2021

This work deals with the transformations that are necessary to promote the accounting management of the University of Havana in search of a qualitative level higher than the current one. In the development of the work, the theoretical elements that support the research are addressed and the context in which accounting management is developed is exposed. The work refers to some of the main strengths and weaknesses of the accounting process identified by the authors through the application of a questionnaire to the qualified personnel who develop the accounting process. Based on the diagnosis made, it is proposed to influence elements such as human capital management, the accounting manual and the design of the accounting process management. Consequently, actions are proposed to be carried out in these three aspects that allow to improve the management of the accounting process at the University of Havana.
Improvement Strategy in Virtual Education. An experience from Cuba
Authors: Figal Alejandro García , Gonzáles Mariuska Sarduy , Zambrano Eliza Juverly
Published: August 2021

The complex context through which the pandemic is passing is unknown to no one, the radical changes in the way of life of the human being in general have been dramatic and difficult to face. The educational process in Cuba has not been a factor unrelated to these conditions, and the need to make use of new technologies to transfer said process and impart it in a purely virtual way has been a common challenge. The empirical work aims to develop a training strategy in the didactics of virtual learning environments, an idea agreed between the members of the board of directors of the School of Accounting and Finance. Thus, begins a teaching movement that under the imprint of profound changes in the teaching process, on the one hand, involves the debate of ideas and methods, and, on the other.
Las bibliotecas digitales como fuente de información confiable en la web
Authors:   Instituto de Investigaciones Bibliotecológicas y de la Información, Voutssás Márquez Juan
Published: August 2021

De la enorme y creciente producción y consumo de información global, se desprende a su vez una problemática cuya tendencia también se incrementa: la interrogante acerca de la calidad y credibilidad de la información a la que se accede. En la actualidad, surgen problemas derivados de creer en información que no es fidedigna y se crean problemas derivados de no creer en información recibida que sí es verdadera. En la medida en que la producción y consulta de la información se incrementa, crecen también los problemas de confianza o desconfianza en ella. En este libro se analiza cómo es que la biblioteca digital puede desarrollar sus estándares de calidad para ofrecer un espacio que los usuarios identifiquen como una fuente de información confiable
Forjadores e impulsores de la bibliotecología latinoamericana: Venezuela
Authors:   Instituto de Investigaciones Bibliotecológicas y de la Información, Morales Campos Estela , Pirela Moriillo Johann ,   Universidad del Zulia
Published: August 2021

Este libro es un desfile imprescindible de los principales personajes que han estelarizado el desarrollo de la Bibliotecología en Venezuela. La compilación y edición corren a cargo de la doctora Estela Morales Campos y el doctor Johann Pirela Morillo quienes presentan a los forjadores con un par de enriquecedores estudios introductorios. Las menciones iniciales corresponden la época colonial, cuando llegó la cultura española y las primeras instituciones de corte europeo, como el idioma español, una de las lenguas que se enriqueció en cada uno de los espacios latinoamericanos y en el cual, mayoritariamente, se hicieron los registros de los saberes, hechos y emociones de las tierras americanas, y temporalmente nuevos dominios de uno de los reinos europeos: España. Luego de este recorrido de las personalidades más importantes del siglo XIX al XXI. Definitivamente, este ejemplar es un indispensable para conocer a fondo la historia de bibliotecología en América Latina
Factores asociados a la pobreza multidimensional en México: un análisis de género
Authors: Villeda Santana Mary Carmen
Published: August 2021

Los esfuerzos por superar la situación de pobreza y la desigualdad de género han sido constantes en el tiempo. Con base en el reconocimiento de que hombres y mujeres tienen diferentes necesidades y capacidades, la inclusión de la categoría de género es fundamental para reflejar cómo desigualdades en la distribución de labores de cuidado y actividades domésticas del hogar pueden profundizar la pobreza. En este libro se analizan los factores asociados a la pobreza multidimensional de los hogares de jefatura femenina y jefatura masculina en México, caracterizados a partir del concepto de jefatura económica. Si bien, la literatura sobre el tema de pobreza y género, es amplia, la mayor parte es de carácter cualitativo por lo que hay un vació de corte cuantitativo, en particular con métodos econométricos. En este sentido, la presente investigación aporta evidencia en esta temática al utilizar modelos de regresión logística contribuye a conocer el efecto que tienen diversos factores de género como el uso del tiempo, la presencia de menores y el acceso a activos en la pobreza multidimensional de los hogares en interacción con variables sociodemográficas y de contexto territorial.
Design of Wideband Antenna Array for WiMax Application
Authors: N Rakesh
Published: August 2021

Abstract: The evolution of wireless communication system has led path for innovative antenna design specifically in wideband antenna for WiMax application. In this paper design and simulation of microstrip wideband circular patch antenna array operating between 2GHz to 4Ghz is presented. The circular patch antenna is designed to operate at 3GHz line feed and the ground is itched to achieve required wideband characteristics. The simulation is carried out in EM Flow solver, High Frequency Structure Simulator software. For a single patch antenna, the return loss, lesser than -10dB throughout the bandwidth. Later an antenna array is operating between 2GHz to 4GHz frequency is designed and simulated. The return loss is lesser than -12dBi throughout the band and a peak gain is 14.7dBi. Keywords: Microstrip Patch Antenna (MPA), High Frequency Structure Simulator (HFSS).
Quality of Life among Varanasi based Ayurveda Junior Resident Doctors Engaged in Covid-19 Care using WHO-BREF - A Cross-Sectional Survey
Authors: Sharma Dr. Nikita
Published: August 2021

During the Coronavirus Pandemic, the Varanasi based Ayurveda junior resident doctors experiencing challenges in their quality of life following the covid19 related challenges. The challenges include; loss of many patients, deaths and illnesses of colleagues, fear of transmission to family members, personal risk of infection, inability to cope, personal isolation, population restrictions, and long shifts of work which affect their QOL and have received less attention from scholars. The study aimed at evaluating the quality of life of Ayurvedic medicine practitioners during COVID-19 pandemic. Methods and Material: Varanasi based Ayurveda junior residents from both urban and rural settings were approached for the cross-sectional survey. An online cross-sectional survey was conducted to collect the data and WHOQOL-BREF questionnaire was made available online on Google forms to the junior residents. The study population involved individuals within the range of 24-80 years. A sample size of 100 was selected from the target population using a convenience sampling procedure. The study identified two or more categories for each variable in the dataset; therefore, the chi-square test was used to examine the relationship between two or more unconditional variables. SAS 9.4 (Statistical Analysis System, Carry, NC, USA) tool was used to analyse the relationship between the categorical variables. P values were obtained for each variable.
Production of Electricity Using Solar Cells
Authors: Jivrakh Kanchan
Published: August 2021

We efficiently produced electricity from the natural available source the Sun. The electrons can be stored in NI-MH 1.2 V ultra-fast charge VIPOW battery. We used two such batteries each having 1.2 V. The required time to convert photon energy into electrical energy (electrons) stored in batteries tabulated in table 1. Our results signifies that there is certain time required to convert photon energy into electrical energy. We achieved electrical energy upto 2.4 Volts as per our objective defined in student research project. Authors one to three B.Sc. Second year (2020-2021) undergraduate students successfully assembled the solar kit.
Faces are protected as Privacy: an Automatic Tagging Framework against Unpermitted Photo Sharing in Social Media
Authors: Varghese Aleena
Published: August 2021

On friendly stages like Facebook, it is well known and pleasurable to share photographs among companions, yet it likewise places different members in a similar picture in peril when the photographs are delivered online without the consent from them. To tackle this issue, as of late, the analysts have planned some fine-grained admittance control systems for photographs shared on the social stage. The uploader will label every member in the photograph, then, at that point they will get inward messages and arrange their own security control procedures. These techniques ensure their protection in photographs by obscuring out the essences of members. Notwithstanding, there is still some deformity in these procedures because of the capricious labeling practices of the uploader. Noxious clients can without much of a stretch control unapproved labeling cycles and afterward distribute the photographs, which the members need them to be classified in online media.
Study and Analysis of Post Tension Flat Slab for Different Tendon Layouts
Authors: Pathan Arshad A.
Published: August 2021

The main purpose of this paper is to study of post tension flat slab and study of their various tendon profiles. In this paper the analysis of various different tendon layouts with different sizes is done. In this paper different sizes of slab is considered and analysis is done with the help of SAFE software. With help of analysis we know the deflection of PT slab for different layouts. In this paper tendon layouts are as banded tendons in main direction, banded tendons in both directions, distributed tendons in both directions, banded and distributed tendons in both directions are considered with different sizes. This paper also includes PT strip stress diagram and layouts.
Smart Dustbin Management System Using Renesas
Authors: A Mr. Venkateshwar
Published: August 2021

Abstract: With the increase in population, the state of sanitation is declining. The abundance of garbage in public places creates a climate of impurity. It can cause several serious illnesses in the immediate vicinity. It also reduces the area rating. To avoid this and to improve sanitation, a 'smart waste management system' is proposed for this project. In the proposed system, the level of debris in dust bins is detected with the help of a Sensor, and transferred to a control room authorized by the GSM system. Microcontroller is used to communicate with the sensor system and the GSM / GPRS system. The Amazon application is built to monitor the information you want related to the waste of various selected sites. This will help to manage your waste collection more efficiently. Keywords: Smart Dustbin, Renesas, Force Sensor, IR Sensor, GSM, Android App.
Face Recognition Attendance System using Raspberry Pi
Authors: Menezes Tresnor
Published: August 2021

Abstract: Face recognition is used for security, authentication, identification, and has got many advantages over conventional methods. It is being used in many sectors since it is contactless and non-invasive. Billions of images have been uploaded on social media networks and are crawled by search engines over many years. These images may include many different faces. The increase in computing capability and collected data has helped in creating more powerful neural network models. [1] This project thesis aims to create an attendance system which uses face recognition biometric authentication as the currently used manual attendance system is cumbersome to maintain and time consuming. Face recognition prohibits the chance of students marking attendance for their peers (proxy attendance). Keywords: Face Recognition, Face embeddings, Face Detection, Image Processing, Raspberry Pi automation.
Seismic Analysis of L-Shape Multi-Storey RCC Building with X-Bracing in Different Effective Location and Pattern
Authors: Pandey Mr. Suryakant
Published: August 2021

Abstract: In this day and age of urbanization, there is a strong need for a large-scale high-rise apartment building in every city but high-rise construction systems are extremely difficult to construct in any seismic region due to the intense and disruptive nature of seismic forces. Seismic forces have the highest risk of causing the most harm to high-rise buildings. To meet this need, the Civil Engineering industry is constantly developing new groundbreaking techniques. To solve this problem RCC or steel bracings are provided in high-rise buildings which help to the low down the effect of seismic and wind forces. The main objective of this paper is to locate an effective position and pattern of the RCC X-bracing system in the L- shape multi-storey building which is subjected to seismic forces. According to a previous reference paper, X-bracing produces better results than other bracing systems. Analysis the seven types of frame models are taken – (1) Normal L-shape building without bracing, (2) Xbracing are provided at the face of L-shape building, (3) X-bracing are provided alternative pattern at the face of L-shape building from bottom to top floor, (4) X- bracing are provided zig-zag pattern at the face of L-shape building, (5) X-bracing are provided at the corner of L-shape building, (6) X-bracing are provided alternative pattern at the corner of L-shape building from bottom to the top floor, (7) X-bracing are provided zig-zag pattern at the corner of L-shape building. Developed and evaluated by response spectrum analysis method (Linear dynamic analysis) as per IS 1893-2000 using STAAD PRO V8i. In the present work G+12 storey, the L-shape frame structure is analyzed by using X-bracing. It is analyzed and the results of the Following Parameters are taken - (1) Peak storey shear, (2) Base shear, (3) Nodal displacement, (4) Maximum bending moment, (5) Total quantity of steel in the whole structure, (6) Total volume of concrete in the whole structure are evaluated and compared. Keywords: RCC Bracing, Seismic Behavior, Seismic Analysis, Peak Storey Shear, Base shear, Nodal Displacements, Maximum Bending Moment, The Total Quantity of Steel, The Total Volume of Concrete
Detection of Blood Cancer Cells Using Microscopic Images
Authors: M S Vidyashree
Published: August 2021

Abstract: Blood Cancer cells forming a tissue is called lymphoma. Thus, disease decreases the cells to fight against the infection or cancer blood cells. Blood cancer is also categorized in too many types. The two main categories of blood cancer are Acute Lymphocytic Lymphoma and Acute Myeloid Lymphoma. In this project proposes a approach that robotic detects and segments the nucleolus from white blood cells in the microscopic Blood images. Here in this project, we have used the two Machine learning algorithms that are k-means algorithm, Support vector machine algorithm. K-mean algorithm is use for segmentation and clustering. Support vector machine algorithm is used for classification. Keywords: k-means, Support vector machine, Lymphoma, Acute Lymphocytic Lymphoma, Machine Learning
Arduino Digital Clock without RTC Module
Authors: Viraktamath Dr. S.V.
Published: August 2021

Abstract: This paper analyzes a clock using Arduino without Real time clock (RTC). The development of the digital clock in Arduino is to provide its own time without RTC. Generally, electronic circuit designers use RTC to construct a clock. Such a circuit requires an extra circuit and power. The CMOS battery supplies power to the RTC, once the CMOS battery power is discharged. It automatically erases the date and time and requires an update from an external device. Considering these facts, RTC is avoided and code with nested looping is used to maintain timing in Arduino. It enables us to modify the time using a keypad and LCD without an external device. Continuous power is supplied to the Arduino using a battery backup. Such a circuit is simple with reduced code. All features available in RTC are available in this circuit. Keywords: Arduino Atmega 328P, RTC, LCD16 x 2, Keypad 4x3.
COVID-19: A Catalyst for Digital Education and Onboarding in India
Authors: Shetty Kshama Prabhakar
Published: August 2021

Abstract: The COVID-19 Pandemic has been the greatest challenge ever faced in the history of mankind leading to disruptions in almost every sector. The pandemic has taught us the importance of technology and that digital transformation is the key for resilience and academic continuity. The Education sector in India has undergone a paradigm shift from traditional to online learning with the help of government initiatives. With its own advantages and disadvantages, digital means of learning has been widely adopted and accepted by almost everyone. School going kids, students pursuing higher education, employees looking for upskilling and reskilling through certifications as well as employers onboarding and training their new joiners have become completely digital owing to the social distancing norms and with an intension to contain the spread of the pandemic. This research paper focuses on how the pandemic has acted as a catalyst for digital education and onboarding in our country. It also talks about the benefits, hurdles and challenges faced in its adoption. Keywords: COVID-19, Digital Education in India, E-Learning, Onboarding, Pandemic, Online Learning
Policies, Programs and Achievements of Ghulam Nabi Azad - led Coalition in Jammu & Kashmir
Authors: Pandey Dr. Aditiya Prakash
Published: August 2021

Abstract: The coalition government in Jammu and Kashmir during 2002 to 2008 helped build some kind of confidence in the electoral institutions and processes. Breaking the hegemony of the single dominant party also brought an alternative to the PDPCongress coalition power. PDP- Congress formed a coalition government after 2002 Assembly elections as no political party had won majority and it resulted in a fractured mandate. The coalition was significant in the sense that PDP had recently emerged as regional force, and it was its first game in elections as well as coalition politics. The coalition began very well on a good note. The coalition incorporated their election manifestoes with the basic issues which the people were facing. The PDP promised a corruption- free government, unconditional dialogue with militants, providing a healing touch and like. The present paper analyses the performance of PDP- Congress coalition led by Ghulam Nabi Azad. Keywords: Coalition, Jammu and Kashmir, Ghulam Nabi Azad, PDP-Congress.
Detecting COVID 19 using Deep Learning
Authors: Uppula Abhishek
Published: August 2021

Abstract: Corona virus disease 2019 (COVID 19) is defined as illness caused by novel corona virus now called severe acute respiratory syndrome corona virus 2 (SARS-Cov-2; formally called as 2019-nCov), which was first identified in Wuhan City, Hubei Province, China. The spreading of COVID 19 is very fast throughout the world. World economy as well as public health has been facing a devastating effect caused by COVID 19. Hence detecting COVID 19 is challenging task even we have multiple methods like RT-PCR, COVID kits. The RT-PCR may not available in all laboratory, even exists which take some time to process and get reports and COVID 19 test kits may not available in all places. So, the main intention of this paper is to detect COVID 19 with in low budget, less time and accurate results. We have trained deep transferred learning models like ResNet-50, ResNet-101 using COVID positive, Normal, Viral Pneumonia chest x-rays. ResNet-50, ResNet-101 is pre-trained deep learning neural network. ResNet-50 provides 98% of accuracy where ResNet-101 gives us 97% of accuracy. Keywords: COVID 19, Deep Learning, ResNet-50, Transferred Learning, Artificial Intelligence.
Vestigios para una historia musical de la sociedad chilena en la historia reciente: El Fondo Documental Sello Alerce
Authors: Albornoz Cuevas César
Published: August 2021

El sello Alerce fue uno de los más importantes factores en la evolución de la historia de la música popular chilena durante el último cuarto del siglo XX. Su existencia le dio al período de la dictadura de Pinochet y a los inicios de la transición, una imagen sonora registrada en soportes musicales que permite disponer de fuentes para la comprensión de aquel tiempo desde la historia. Este artículo trata sobre la recuperación de sus documentos como patrimonio archivístico nacional, reflexiona sobre cómo se podría comprender nuestra historia reciente desde los vestigios musicales, y devela la historicidad que ofrece un conjunto de síntomas sobre pasado cultural organizados a modo de archivo. Asimismo, este escrito enseña el cómo desde la archivística, en su dimensión más práctica, se recupera, restaura y conserva un archivo musical importante para la historia reciente de Chile.
Interactive Effect of Seeds of Coriandrum Sativum L. With Glimepiride in Streptozotocin-Induced Diabetic Rats
Authors: Spandana Uppuluri , Sreedevi Adikay , Sruthi Kaveripakam Sai
Published: August 2021

Diabetes mellitus is a serious and most prevailing glycemic disorder mainly managed by using allopathic medicines. Due to various side effects of allopathic drugs, till today medicinal plants were widely used in treating diabetes. Among them, spices like Coriander sativum L. play a prominent role in managing diabetes. Type-2 diabetic patients use oral hypoglycemic drugs and also follow herbal remedies. There is a probability of interactions when herb interferes with the drug action in the body. The aim of the present study was to assess the interaction of aqueous extract of seeds of Coriandrum sativum with oral hypoglycemic drug glimepiride in streptozotocin-induced diabetic rats. In the present study, animals were grouped into seven of six each. Group-I, Group-II, Group-III, Group-IV, Group-V, Group-VI, and Group-VII included normal control, glimepiride, Coriandrum sativum, diabetic control, diabetic animals treated with glimepiride, diabetic animals treated with Coriandrum sativum, and diabetic animals treated with glimepiride and Coriandrum sativum, respectively. Pharmacokinetic and pharmacodynamic interactions were studied. The animals treated with both Coriandrum sativum and glimepiride showed significant activity in pharmacokinetic parameters by increasing the levels of the maximum serum concentration (Cmax), Time taken to reach maximum serum concentration (Tmax) and Volume of distribution (Vd). Further pharmacodynamic studies showed promising hypoglycemic effects by decreasing blood glucose levels and ameliorating lipid profile compared with monotherapy of glimepiride or Coriandrum sativum treated in diabetes rats. The observations revealed that a significant herb-drug interaction occurred between Coriandrum sativum and glimepiride. In conclusion, Coriandrum sativum can elevate the bioavailability of glimepiride which seems to be beneficial in diabetic patients receiving glimepiride.Â
Implementasi Metode Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA) Pada Sistem Pendukung Keputusan Penentuan Penerima Bantuan Iuran BPJS Kesehatan (Studi Kasus: Desa Loru Kabupaten Sigi)
Authors: Rasmita Ngemba Hajra , Reynold Richardo Rudy , Nur Rosmala , Rusydi Muhammad , Lopo Christian , Nu Mayin
Published: August 2021

Introduction:  This study aims to build an application that can carry out the selection process for prospective recipients of contribution assistance so that it is easier and becomes an alternative choice for the Village Government in determining eligible residents for BPJS Health contribution assistance in Loru Village, Sigi Regency. Methods: This decision support system application is web-based using the Hypertext Prepocessor (PHP) programming language with the Multi Objective Optimization method On The Basis Of The Ratio Analysis (MOORA), using sublime text 3 software and also MySQL as the database. In this study, 444 households were used as data for heads of households. With the system, orders will be carried out objectively and in detail. To determine which residents are truly entitled to receive assistance, this is done by compiling citizen data by considering the value of the MOORA method formula for each of the specified criteria. Result: The results that have been carried out by this author are a solution to determine the recipients of BPJS Health contribution assistance in Loru Village, Sigi Regency, so that the selection process can be more effective in terms of time and operation. Conclutions:  Based on manual calculations as a comparison with the calculation of the system built, the same results were obtained. This shows that the system built can process the selection of potential recipients of contribution assistance. The result of the system process using the MOORA method is the ranking of PBI candidates with the highest rank to the lowest rank.
Deep neonatal Cerebral Sinovenous Thrombosis: an interesting case report with anticoagulant treatment without risk factors
Authors: Francesco Ludovica Di , Maranella Eugenia , Fabio Sandra Di , Chiarelli Francesco
Published: August 2021

Cerebral sinovenous thrombosis (CSVT) is an uncommon neurological
disease in newborns. Literature data report the association between
prothrombotic risk factors and CSVT. This correlation can help the
clinician make an earlier diagnosis of this subtle disease. Herein, we
describe a severe neonatal CSVT in the absence of significant risk
factors.
Patterns and determinants of intra-industry trade in agri-food products between Bosnia and Herzegovina and CEFTA 2006
Authors: Brkic Snjezana , Kastratovic Radovan , Abidovic-Salkica Mirela
Published: August 2021

The paper aims to identify patterns and country-specific determinants of
intra-industry trade (IIT) in agri-food products between Bosnia and
Herzegovina (BiH) and other CEFTA 2006 parties in the period 2008-2018. The
purpose of the paper is to contribute to filling the gap in the empirical
literature on IIT of the South East European countries, especially in regard
to non-manufacturing sectors. To investigate IIT intensity and structure the
analysis employed Grubel- Lloyd indices and GHM methodology based on
relative unit values. In order to examine the impact of various determinants
on IIT in agri-food products, a random-effects Heckman selection model was
estimated, following a sector-level approach in the analysis. The analysis
indicates a lower level of IIT than expected and a strong dominance of its
vertical type in all BiH bilateral relations within CEFTA 2006. The
empirical results also suggest that the major determinants positively
affecting IIT in agri-food products include the size of the trading
economies, the similarity in their ethnic structure, membership in the
common regional trade agreement, and common borders. By contrast, the
results indicate that IIT is negatively affected by differences between the
trading economies in terms of productivity and gross domestic product per
capita.
Russiske kjernefysiske styrker
Authors: Bruusgaard Kristin Ven
Published: August 2021

Dr. Kristin Ven Bruusgaard reviews the report Russian Nuclear Forces written by Steinar Høibråten and Halvor Kippe at the Norwegian Defence Research Establishment.
Det tabte Tjetjenien: Erindringer fra en borgerkrig
Authors: Sugaipova Maryam
Published: August 2021

Maryam Sugaipova, of the Norwegian Institute of International Affairs, reviews Det tabte Tjetjenien: Erindringer fra en borgerkrig (What Chechnya Lost: Memories of a Civil War) by Zulay Magazieva,
Nyckelaktörerna för rysk cyberstrategi: 2000–2020
Authors: Svenungsen Bjørn
Published: August 2021

Bjørn Svenungsen, of the Norwegian Institute for Defence Studies, reviews Carolina Vendil Pallin's report for the Swedish Defence Research Agency titled The Key Players in Russia's Cyber Strategy: 2000–2020 (Nyckelaktörerna för rysk cyberstrategi: 2000–2020).
Investigating the role of the ghrelin axis in cognitive decline and dementia
Authors:   , Sassi Martina
Published: August 2021

Ghrelin is a 28-amino acid hormone that is generated in a wide number of tissues. Its active form, acyl-ghrelin is able to bind to its receptor GHS-R and exert a variety of functions. In the brain, acyl-ghrelin has been associated with neuroprotection, improved memory and adult hippocampal neurogenesis (AHN). However, the mechanisms controlling acyl-ghrelin-mediated AHN are still unknown. To elucidate this process, different markers of neurogenesis were assessed in a mouse model in which GHS-R+ neurones were ablated specifically from the rostral DG of the hippocampus (rDG), showing that rDG GHS-R+ neurones are essential for maintaining AHN. Acyl-ghrelin has also been shown to prevents the damage caused by neurodegeneration, at least in young animal models of disease. In this thesis, we demonstrated that in the geriatric Tg2576 mouse model of Alzheimer’s disease, acyl-ghrelin maintained an effect on β-amyloid (Aβ) plaques in the hippocampus, promoting a reduction of the Aβ plaques size in AD-like mouse model compared to WT mice. Collectively, research findings highlight the importance of circulating acyl-ghrelin in the brain. However, ghrelin exists in two distinct forms and acyl-ghrelin can be enzymatically modified to the ‘inactive' unacylated-ghrelin (UAG) by acyl-protein thioesterase 1 (APT1). Preventing APT1 mediated de-acylation and increasing acyl-ghrelin bio-availability may prevent the damage caused by neurodegeneration. Unpublished data from our group suggest that PalmostatinB, an APT1 inhibitor, increases levels of acyl-ghrelin in macrophage cells (that naturally produce ghrelin). Therefore, this and other APT1 inhibitors may be considered possible therapeutic agents for the treatment of cognitive decline and diseases associated with dementia. We confirmed that, among several APT1 inhibitors, PalmostatinB is able to increase the level of acyl-ghrelin in vitro. However, further research is warranted into APT1 inhibitors as a novel therapeutic approach to treating cognitive decline and dementia. Together, the data in this thesis support a role for the ghrelinergic system components in modulating brain functions.
Pengaruh Variasi Polivinilpirolidon (PVP) Terhadap Pembentukan Serat Nano TiO2 Menggunakan Metode Electrospinning
Authors:   Universitas Lampung, Ar Vega Rahmawati , Manurung Posman , Junaidi Junaidi , Karo Pulung Karo
Published: August 2021

Research on the formation of TiO2 nanofiber has been carried out with PVP variations of 1.1; 1,2; 1.3; 1.4 and 1.5 grams using electrospinning. This study aims to determine the effect of PVP variation on the viscosity and morphology of TiO2 nanofibers and to determine the crystal structure of the fibers. Synthesis of TiO2 was carried out using the sol-gel method. TTIP is used as a precursor, ethanol as a solvent, acetic acid as a catalyst and PVP as a fiber-forming polymer. The results of the viscosity measurement show that the amount of PVP used in the sample is directly proportional to the level of solution viscosity. Based on the results of SEM characterization, it showed relatively uniform nanofiber morphology with fiber diameter ranging from 94 nm - 735 µm. The results of TEM characterization showed that the size of TiO2 nanofiber particles ranged from 7-15 nm. The results of XRD analysis showed that the crystal structures formed at a calcination temperature of 450 oC were the anatase and rutile phases.
Kajian Simulasi Dinamika Molekul Adsorpsi Hidrogen pada Carbone Nanotube dengan Variasi Chirality dan Temperatur Menggunakan Kode LAMMPS
Authors:   Universitas Lampung, Mufida Erika Marinda , Suciyati Sri Wahyu , Pauzi Gurum Ahmad , Supriyanto Amir
Published: August 2021

Hydrogen adsorption has been simulated on carbon nanotubes for optimum hydrogen absorption. Parameters that affect the amount of hydrogen absorbed have been studied, such as the effect of chirality and temperature on hydrogen absorption in CNTs. The simulation method of hydrogen adsorption on carbone nanotubes uses molecular dynamics simulation code LAMMPS, applies Lennard-Jones interatomic potential and hydrogen atom movement using Van Der Waals force with Microcanonical Ensemble. Data analysis is the output of LAMPS in the form of data in XYZ format. The data contains information in the form of integration steps, number of atoms, temperature, pressure, potential energy, kinetic energy, volume, van der Waals energy, total simulation time and hydrogen absorption. The simulation results show that the optimum absorption occurs at run 10000 and a temperature of 100 K, for armchair chirality of 10 atoms, chirality of 12 atoms and zigzag chrality of 5 atoms. Formation of hydrogen coordinates with Avogadro software, formation of CNT coordinates with VMD software and visualization of hydrogen adsorption on CNTs using VMD software.
HUBUNGAN KONSEP DIRI DENGAN PERILAKU MORAL ANAK USIA DINI DI TK PERTIWI KELURAHAN SUNGAI PAKNING KABUPATEN BENGKALIS
Authors: YUNIKA NURHELIZA
Published: August 2021

This research aims to know the level and the correlation between self concept and moral behavior of early childhood at Pertiwi Kindegarten Sungai Pakning Village Bengkalis Regency. The samples of this research were all kids age 5 – 6 years old at Pertiwi Kindegarten Sungai Pakning Village Bengkali Regency total 54 kids. The method used was Pearson Product Moment Correlation to see the correlation between self concept variable and moral behavior. The technique of data collection was observation sheet. The technique of data analysis was by using Pearson Product Moment correlational technique. From the research results, it can be recognized that the level of self concept of kids is in high category with percentage score 51,85% and the level of kids’ moral behavior is at medium category with percentage score 55,55%. Based on the result of hypothesis test, it obtains the value of correlational coefficient is in the amount of rxy = 0,837 bigger than rtable = 0,268 (0,837 > 0.268) with significance level 0,000 < 0,05. Therefore, it can be concluded that there is correlation between self concept and moral behavior. The level of the correlation is in extremely high category with the value of determinant coefficient generated is 70% then it can be recognized that self concept gives contribution 70% towards moral behavior.
MENINGKATKAN HASIL BELAJAR SOAL CERITA MELALUI PENDEKATAN CONTEXTUAL TEACHING AND LEARNING (CTL) PADA SISWA KELAS 5 SEKOLAH DASAR NEGERI 018 GERBANG SARI
Authors: Karim Ahmad
Published: August 2021

This study aims to improve the learning outcomes of storytelling through a contextual teaching and learning (CTL) approach in grade 5 students of state elementary schools 018 gateway sari kecaptung hilir district. Kampar. The concept of learning that emphasizes the relationship between learning material with the real world of student life. So students are able to connect and apply learning outcomes competencies in everyday life. This research is a classroom action research using observation, library study and cycle performance assessment. The results showed the Contextual Teaching and Learning (CTL) approach can improve student learning outcomes in Mathematics subjects. This can be seen in the results of the study which showed that in cycle I students completed 16 people 80% while students who did not complete 4 people 18%. Likewise, this approach can increase students' enthusiasm in learning so that the classroom atmosphere when the teaching and learning process becomes more lively and the implementation of learning story questions through the CTL approach consists of 7 steps of the CTL approach and combined with the steps to solve the story problems. Learning using the CTL approach can be divided into three stages: the initial stage, the core stage, and the final stage. In the initial stage the activities of activating students' initial knowledge are carried out, conveying learning objectives, and apperception. At the core stage CTL steps are carried out namely constructivism, inquiry, asking questions, learning communities, modeling, reflection, and actual assessment. In the final stages of activity students are directed to conclude learning and provide a final test. In conclusion students are motivated to learn, because students will be active in learning, foster a sense of cooperation in groups, learning outcomes can be measured in various ways, and make learning more fun and meaningful for students
MENINGKATKAN HASIL BELAJAR PESERTA DIDIK PADA MATA PELAJARAN IPA DENGAN METODE THINK PAIR SHARE (TPS) PADA SISWA VIII A DI SMPN 4 TAPUNG HILIR
Authors: Sumarya Fevi
Published: August 2021

This study aims to apply the Think Pair Share (TPS) Method to improve the learning outcomes of science in class VIII A students at SMPN 4 Tapung Hilir. Learning outcomes give a very important role for students in improving achievement to be more beneficial. Learning outcomes can be seen from cognitive abilities, affective, psychomotor. This research uses classroom action research methods. The research instrument consisted of tests and non-tests. the results of research and discussion shows the Think Pair Share method can improve student learning outcomes in science subjects. This can be seen in cycle I students who reached 82% while students who did not complete reached 18% and the Think Pair Share method can also increase student enthusiasm in learning so that the classroom atmosphere when teaching and learning process becomes more lively. It is recommended to science teachers who will try the TPS method by adding variations and do not make the achievement of teaching materials and time as the main benchmark but make student understanding as the main goal of the success of group discussions and other researchers can investigate further with deeper discussion for example in the field other studies or other levels of education.