bluuebunny/crossref_metadata_2025 huggingface dataset:
Sindrom gornjeg medijastinuma uzrokovan ne-Hodgkinovim limfomom
Authors: Bellesi Gaia , Roganović Jelena
Published: June 2023

Cilj: Prikazati slučaj pedijatrijske pacijentice sa sindromom gornjeg medijastinuma (SGM) kod koje je citološkom analizom pleuralnog i perikardijalnog izljeva postavljena preliminarna dijagnoza T-staničnog ne-Hodgkinovog limfoma (T-NHL) i zbog životne ugroženosti započeta kemoterapija s izvrsnim odgovorom. Prikaz slučaja: Pacijentica u dobi od 15 godina pregledana je u hitnoj pedijatrijskoj ambulanti zbog nespecificiranog gubitka svijesti. Pet dana pred prijam žalila se na šum u ušima, vrtoglavicu, noćno znojenje, difuzne bolove u trbuhu i povraćanje, uz suh kašalj na dan prijama. Zbog brzog pogoršanja kliničkog stanja s cijanozom i hipoksijom zaprimljena je u Jedinicu intenzivnog liječenja. Slikovne pretrage pokazale su uvećanu sjenu medijastinuma te obilan perikardijalni i pleuralni izljev. Uz intenzivne potporne mjere liječenja, učinjena je hitna perikardiocenteza i pleuralna drenaža. Citološkom analizom izljeva postavljena je dijagnoza T-NHL-a te je bez histološke potvrde uvedena kemoterapija prema EURO-LB 02 protokolu, s izvrsnim odgovorom. Pet godina nakon završetka liječenja pacijentica je u kontinuiranoj kompletnoj remisiji. Zaključak: SGM je hitno stanje u pedijatrijskoj onkologiji. Brz razvoj tipičnih simptoma i znakova SGM-a kod djeteta treba pobuditi kliničku sumnju na medijastinalni tumor. U ovakvim slučajevima životne ugroženosti, uz intenzivne mjere liječenja, potrebno je započeti antitumorsku terapiju na osnovi preliminarne dijagnoze bez histološke potvrde. Rano prepoznavanje i adekvatno zbrinjavanje SGM-a od presudne je važnosti za povoljan ishod.
Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study
Authors: Yang Chaoqi , Xiao Cao , Westover M Brandon , Sun Jimeng
Published: June 2023

Background

Deep learning models have shown great success in automating tasks in sleep medicine by learning from carefully annotated electroencephalogram (EEG) data. However, effectively using a large amount of raw EEG data remains a challenge.

Objective

In this study, we aim to learn robust vector representations from massive unlabeled EEG signals, such that the learned vectorized features (1) are expressive enough to replace the raw signals in the sleep staging task, and (2) provide better predictive performance than supervised models in scenarios involving fewer labels and noisy samples.

Methods

We propose a self-supervised model, Contrast with the World Representation (ContraWR), for EEG signal representation learning. Unlike previous models that use a set of negative samples, our model uses global statistics (ie, the average representation) from the data set to distinguish signals associated with different sleep stages. The ContraWR model is evaluated on 3 real-world EEG data sets that include both settings: at-home and in-laboratory EEG recording.

Results

ContraWR outperforms 4 recently reported self-supervised learning methods on the sleep staging task across 3 large EEG data sets. ContraWR also supersedes supervised learning when fewer training labels are available (eg, 4% accuracy improvement when less than 2% of data are labeled on the Sleep EDF data set). Moreover, the model provides informative, representative feature structures in 2D projection.

Conclusions

We show that ContraWR is robust to noise and can provide high-quality EEG representations for downstream prediction tasks. The proposed model can be generalized to other unsupervised physiological signal learning tasks. Future directions include exploring task-specific data augmentations and combining self-supervised methods with supervised methods, building upon the initial success of self-supervised learning reported in this study.
Effects of Using Websites on Physical Activity and Diet Quality for Adults Living With Chronic Health Conditions: Systematic Review and Meta-Analysis (Preprint)
Authors: Pogrebnoy Dina , Dennett Amy M , Simpson Dawn B , MacDonald-Wicks Lesley , Patterson Amanda J , English Coralie
Published: June 2023

BACKGROUND

Adults with chronic health conditions need support to manage modifiable risk factors such as physical inactivity and poor diet. Disease-specific websites with health information on physical activity and diet quality may be effective in supporting adults in managing their chronic illnesses.

OBJECTIVE

The primary aim of this review was to determine whether using websites with health information can lead to improvements in physical activity levels or diet quality in adults with chronic health conditions.

METHODS

Randomized controlled trials evaluating the effectiveness of website use on levels of physical activity or diet quality in adults with chronic health conditions were included. MEDLINE, Embase, CINAHL, and the Physiotherapy Evidence Database were searched from the earliest available record until February 2023. Data for outcomes measuring physical activity levels; diet quality; and, where reported, self-efficacy and quality of life were independently extracted by 2 reviewers. The risk of bias was assessed using the Physiotherapy Evidence Database scale, and the overall certainty of evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation approach. Where values were presented as the same unit of measure, postintervention scores were pooled for meta-analysis to yield an overall mean difference (MD). A standardized MD (SMD) was calculated for the pooled data in which different units for the same outcome were used. Individual trial data were described in cases where the data of trials could not be pooled.

RESULTS

A total of 29 trials (N=6418 participants) across 8 different disease groups with intervention periods ranging from 4 weeks to 12 months were included in the analysis. There was moderate-certainty evidence that using websites with health information increased levels of moderate to vigorous physical activity (MD=39 min/wk, 95% CI 18.60-58.47), quality of life (SMD=0.36, 95% CI 0.12-0.59), and self-efficacy (SMD=0.26, 95% CI 0.05-0.48) and high-certainty evidence for reduction in processed meat consumption (MD=1.1 portions/wk, 95% CI 0.70-1.58) when compared with usual care. No differences were detected in other measures of diet quality. There was no increased benefit for website users who were offered additional support.

CONCLUSIONS

The use of websites for risk factor management has the potential to improve physical activity levels, quality of life, and self-efficacy as well as reduce processed meat consumption for adults living with chronic health conditions when compared with usual care. However, it remains unclear whether using websites leads to meaningful and long-lasting behavior change.

CLINICALTRIAL

PROSPERO CRD42021283168; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=283168
Clinical validation of an artificial intelligence algorithms for the detection of different central-involved retinal pathologies and glaucoma by using a non-mydriatic camera (Preprint)
Authors: Vidal-Alaball Josep , Arocas Bonache Alba , Solé-Casals Jordi , Royo Fibla Didac , Marin-Gomez Francesc Xavier , Distéfano Laura Natalia , Boixadera Anna , Casado-García Ángela , García-Domínguez Manuel , Inés Adrián , Heras Jonathan , Zapata Miguel Angel
Published: June 2023

BACKGROUND

The use of Artificial intelligence (AI) algorithms for detecting different ophthalmic diseases, especially diabetic retinopathy (DR), has become increasingly popular.

OBJECTIVE

To evaluate the screening performance of different AI algorithms based on convolutional neural networks (CNNs) in a real-world scenario

METHODS

Observational and cross-sectional study conducted on patients aged ≥18 years with type-2 diabetes mellitus, who had undergone fundus examination for DR screening using a teleophthalmology program between May and August 2021 in four Catalan primary care centers. Color fundus photos were acquired, using a non-mydriatic camera, and transmitted to the reading center of the ophthalmological clinic. We used the UPRETINA diagnostic system, which consists of 8 AI algorithms based on CNN's. Sensitivity and specificity; inter- and intra-observer agreement; and area under the receiver operating characteristic curve (AUROC) were calculated.

RESULTS

A total of 1652 eyes from 871 patients [1652 images] were analyzed. The AI algorithms had a sensitivity/specificity of 86.8%/95.6% for detecting DR; 94.9%/94.3% for detecting age-related macular degeneration (AMD); 82.7%/92.4% for detecting glaucomatous optic neuropathy (GON); 87.0%/87.5% for detecting epiretinal membrane; and 89.7%/98.0% for detecting nevus. Additionally, the sensitivity/specificity for correctly classify images as right eye/left eye and to correctly classify images gradeability (medium or high quality) were 100% /100% and 92.9%/90.5%, respectively. The AUROC of the AI algorithms ranged between 0.9777 (AMD) and 0.9122 (GON).

CONCLUSIONS

UPRETINA system algorithms were capable to automatically and accurately classify the screening retinographies, which obviously have a significant impact on reducing workload. In addition, it has been shown to be able to distinguish pathological images from non-pathological ones, leading to a scenario of more efficient optimization of resources, in which retina specialists will be focused on assessing only pathological images. This would also reduce primary-care burden. The incorporation of a greater spectrum of data, always maintaining and guaranteeing patient confidentiality, will help to establish a patient-tailored health care.

CLINICALTRIAL

ClinicalTRials. Gov NCT04132401.

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/12539
Triage accuracy and the safety of user-initiated symptom assessment with an electronic symptom checker (ESC) in a real-life setting (Preprint)
Authors: Liu Ville Dan Mikael , Koskela Tuomas Heikki , Kaila Minna Meeri Inkeri
Published: June 2023

BACKGROUND

Previous studies have evaluated the accuracy of the diagnostics of electronic symptom checkers (ESCs) and triage using clinical case vignettes. Variation exists between different ESCs and the conditions being assessed, including the triage capabilities. There is a limited amount of evidence on live clinical patient user safety hazards associated with the use of ESCs, as safety has mainly been evaluated with the use of clinical vignettes. National Omaolo Digital services (Omaolo) in Finland consist of an ESC for various symptoms. Users can triage their symptoms with the help of ESC algorithms. As a result of completing the ESC, the user receives a recommendation for action and a service assessment with appropriate guidance regarding their health problems for a specific symptom. This allows users to be provided with healthcare services regardless of time and place.

OBJECTIVE

This study investigates how well triage by the ESC matches the triage of nurses among the chief symptom assessments available in Omaolo (anal region symptoms, cough, diarrhea, discharge from the eye or watery or reddish eye, headache, heartburn, knee symptom or injury, lower back pain or injury, oral health, painful or blocked ear, respiratory tract infection, sexually transmitted disease, shoulder pain or stiffness or injury, sore throat or throat symptom, urinary tract infection). In addition, this study assesses the safety of the Omaolo ESC.

METHODS

This is a clinical validation study in a real-life setting. It is a multicenter study in primary health centers across Finland. The included units were of the walk-in model of primary care, where no prior phone call or online contact is required. Upon arriving at the health center, users (patients) filled out the ESC questions and after that a nurse assessed their triage. Findings concerning 877 patients were analyzed. The triage recommendations by the ESC were matched with the triage assessments by nurses. A case was defined as safe if the recommendation for action given by the ESC was at most one degree of urgency less urgent than the triage assessment by the nurse concerning the same case. Critical cases were analyzed in detail.

RESULTS

The mean of the exact match for all symptom assessments was 53.7%. The mean of the exact match or overly conservative but suitable for all symptom assessments was 67.7%. Safe assessments by the ESC accounted for 97.6% of all assessments made. Critical cases were identified and further analyzed. In these 21 cases, no indication was found that patient safety had been compromised.

CONCLUSIONS

This study was the first to assess the accuracy and safety of the Omaolo ESC in the Finnish primary health care context. The findings indicate that the Omaolo ESC is safe compared to the assessment and triage of a triage nurse.

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/41423
Retrospecting Digital Media Use, Negative Emotions, and Trust Gaps During the COVID-19 Pandemic in China: Cross-Sectional Web-Based Survey (Preprint)
Authors: Wei Lu , Huang Qing
Published: June 2023

BACKGROUND

Retrospecting the trust gaps and their dynamics during the pandemic is crucial for understanding the root causes of postpandemic challenges and offers valuable insights into preparing for future public health emergencies. The COVID-19 pandemic eroded people’s trust in strangers and acquaintances, while their trust in family members remained relatively stable. This resulted in 2 trust gaps, namely, the family members–strangers trust gap and the family members–acquaintances trust gap. Widening trust gaps impede social integration and undermine the effective management of public health crises. However, little is known about how digital media use shaped trust gaps during a pandemic.

OBJECTIVE

This study aims to investigate the relationships between digital media use, negative emotions, the family members–strangers trust gap, and the family members–acquaintances trust gap during the COVID-19 pandemic in China. We test the mediating role of negative emotions between digital media use and 2 trust gaps and compare the indirect effect of digital media use on 2 trust gaps through negative emotions.

METHODS

A cross-sectional web-based survey was conducted in China between January 31, 2020, and February 9, 2020. A total of 1568 adults participated in the survey. Questions related to digital media use, negative emotions, trust in family members, trust in acquaintances, and trust in strangers during the pandemic were asked. Regression analyses were performed to test the associations between the examined variables. We used a 95% bootstrap CI approach to estimate the mediation effects.

RESULTS

Digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), which in turn were positively associated with the family members–strangers trust gap (B=0.15, SE 0.03; P<.001). Likewise, digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), while negative emotions were positively associated with the family members–acquaintances trust gap (B=0.08, SE 0.03; P=.01). Moreover, the indirect effect of digital media use on the family members–strangers trust gap (B=0.03, SE 0.01; 95% CI 0.01-0.04) was stronger than that on the family members–acquaintances trust gap (B=0.01, SE 0.01; 95% CI 0.003-0.027).

CONCLUSIONS

The results demonstrate that negative emotions resulting from the frequent use of digital media are a key factor that accounts for the widening trust gaps. Considering the increasing reliance on digital media, the findings indicate that the appropriate use of digital media can prevent the overamplification of negative emotions and curb the enlargement of trust gaps. This may help restore social trust and prepare for future public health crises in the postpandemic era.
Application of Fibrin-Rich Plasma Membrane (PRF) as a Possibility in the Treatment of Gums Recessions: Literature Review
Authors: Araújo Rodolfo José Gomes de , Braga Catharina Sophia Lima Nunes , Alves Etiane Prestes Batirola , Pagliarini Jorge Luis , Teles Beatriz de Jesus , Henrique Nibia Nasa de Oliveira
Published: June 2023

Periodontal problems have a high prevalence in the general population, these are characterized by loss of attachment, resulting in a most inferior position of the free gingival margin, on any part of the exposed root surface. It may be present in both arches, on the buccal and lingual surfaces, and on any teeth. With the advancement of techniques and advances achieved through technology, with the aim of optimizing the physiological phenomenon of healing, additives have been developed. Within this perspective, the present study aims to carry out a literature review on the clinical application of Platelet-Rich Fibrin (PRF) as a treatment for gingival recession. Seeking to increase the effectiveness and reduce the discomfort of patients undergoing more invasive procedures, such as the coronally advanced flap adjoining the subepithelial connective tissue graft, the current gold standard. Platelet-rich fibrin (PRF) is a new generation of platelet aggregates, which allows tissue regeneration, the method used is characterized by a study supported by a bibliographic and descriptive research. The advancement of surgical techniques is a fundamental point for obtaining the success of the procedure. Therefore, this work proposed to search the scientific literature for articles that support the use of this membrane in conservative treatments in the aesthetics and functionalities of the smile.
The Frequency of Employing Learning Management System in Teaching General English to Non-English Majors
Authors: Nhan Tran Thi , Thu Nguyen Thi Kieu
Published: June 2023

In the information age, the demand for technological means which can support the teaching and learning process is increasing rapidly. Learning Management System (LMS) is introduced as a special software facilitating learning and teaching activities. Although in recent years, studies about teachers’ attitudes towards LMS are increasing significantly, there are limited studies regarding the frequency of using LMS features, especially in higher education. Therefore, this study aims to explore teachers’ frequency of using LMS (Richmond and Google Classroom) and to investigate whether there is any correlation between teachers’ frequency of using LMS and demographic elements. The data was collected at the University of Science – Vietnam National University – Hochiminh City with the participation of 32 lecturers teaching general English to non-English majors. The mixed-methods approach involving collecting both quantitative and qualitative data was applied to obtain data. Descriptive statistics and content analysis were employed for the data analysis process. The findings revealed the low level of using LMS features. Besides, the frequency of using LMS features had neither a significant correlation with age nor LMS skills proficiency. Additionally, the frequency of using learning skills feature was not influenced by age, gender, or experience, while gender influenced the frequency of using communication feature significantly. The study also made some recommendations for improving the frequency of using the system in terms of teachers’ use.
Strengthening National Character through Learning Indonesian as a Compulsory Subject in Higher Education
Authors: Inderasari Elen , Giyoto Giyoto , Santoso Rohmad Budi
Published: June 2023

Strengthening student character is an important foundation in learning Indonesian in tertiary institutions in the era of educational disruption. This study aims to describe the results of strengthening student character through Indonesian language courses in tertiary institutions. This research method used in this research is descriptive qualitative. The subjects in this study included students and lecturers supporting the Indonesian language as the national curriculum subject for all level of education and all Indonesia students, called MKWK, at UIN Raden Mas Said Surakarta. The informants in this study were the coordinators of the MKWK at UIN RMS Surakarta (the study program coordinators were taken in part from the number spread across five faculties). Collecting data in this study using documentation methods, in-depth interviews, and observation. Data analysis in this study used an interactive model which consisted of four stages, namely data collection, data reduction, data display, and drawing conclusions. The results of this study indicate the strengthening of student characters through Indonesian language courses including: discipline, honesty, communicativeness, curiosity, responsibility, creativity, independence, tolerance, hard work, democratic, and religiosity. This shows that Indonesian language courses strengthen the various student characters. This study recommends that the values of character buildings can be developed effectively through the implementation of Indonesian language learning in tertiary institutions.
HARMONIZATION OF UNIVERSITY AVIATION COURSES
Authors: Katsarska Vanya Lyubomirova
Published: June 2023

Aviation is one of the factors which contribute to globalization and it makes the world more connected and more accessible. Aviation speaks English. Our function as university ESP teachers is to prepare graduates for professional success. However, as social and cultural changes occur, especially on a global level, so do the requirements for accomplishment of this function. Now, with almost two decades into the 21st century, ESP is coming to a new age. This is the age of multinational cooperation and harmonization. The new way of working could not only widen the teachers’ horizons and strengthen the opportunities for the best practices, but also harmonize the education in the language departments in different higher institutions which deal with similar target groups of students and target language use situations. Harmonization in aviation education fosters standardization and transparency. It plays a key role for the mobility of students and teachers. Harmonization in aviation training is promoted by a common aviation course which is being developed due to the cooperation of Aviation Faculty, National Military University, Bulgaria, Air Force Academy, Romania, and the War Studies University, Poland, within the framework of Strategic Partnership Erasmus+ program. The joint aviation English course is expected to boost the cooperation among three air-force tertiary education institutions and to introduce a policy intended to harmonize the language studies of future aviation specialists.
USING INTERNET-BASED TECHNOLOGIES WHEN DEVELOPING EFFECTIVE STRATEGY OF TEACHING FOREIGN LANGUAGES AT TERTIARY LEVEL
Authors: Rubtsova Svetlana , Nikitina Angelica , Przhigodzkaja Olga
Published: June 2023

The purpose of this study is to present some of the results of the use of the BlackBoard platform for teaching English at Saint-Petersburg State University. Nowadays the Internet technologies are widely used in educational process, especially when teaching foreign languages for specific purposes at tertiary level. Courses of foreign languages should be developed taking into account specific needs of the learners, they should provide variety of simulation activities replicating real life situations. Special attention should be paid to developing communication skills and to training terms. Developing modern teaching strategies requires using authentic materials – texts, video and audio recordings, etc. These materials help to increase students’ cultural awareness. The BlackBoard platform, designed for both individual and group learning, provides better educational opportunities and has enormous potential for tailoring courses of English exactly to students’ needs. It allows access to all Internet resources. The BlackBoard platform is particularly useful when teaching foreign languages for specific purposes, The BlackBoard platform helps to develop different skills (listening, speaking, etc.), contributing greatly to improving the level of teaching foreign languages, as well as to preparing students for the exam and for their future successful professional activities.
ESTABLISHING ENGLISH FOR SPECIFIC PURPOSES POSITION IN ELT CONTEXT
Authors: Rajguru Santosh Pundalik
Published: June 2023

The present paper tries to explain how English language can be useful in establishing dominant positions in various situations. Globalization has become a reality, a fact that cannot be avoided by any nation in the world.  As an Eastern country and nation, India now has to prepare a strategy – how to face the Post-Globalization Era. English for Specific Purposes (ESP) is a sphere of teaching English Language including technical English, Scientific English, English for medical professionals, English for waiters, English for tourism.  Aviation English as ESP is taught to pilots, air traffic controllers and civil aviation cadets who are going to use it in radio communications. A great deal can be written about the origins of ESP. But there are three notable reasons common to the emergence of all ESP: the demands of a brave new world, a revolution in linguistics, and focus on the learner. This paper would focus on the rise and origin of ESP and how it has acquired its place in the broader categories of language. It is also categorized in different types with its special and unique characteristic features.  In the latter part of the paper the learning methodology and future are discussed.
DEVELOPING WRITING SKILLS IN ENGLISH FOR SPECIFIC PURPOSES CLASSROOMS THORUGH LITERARY TEXTS
Authors: Shriganeshan Kandiah
Published: June 2023

With ten years of learning English as a second language at schools it has not become a reality for the university undergraduates in Sri Lanka that they become proficient in English. The exam-oriented studies of the present Sri Lankan educational system which was derived from the British colonial rulers encourages and also develops a textbook culture which would promote communication in English. In order to maintain international contacts, to use it in education, science, medicine, engineering, technology and business, and to lead a modern life, there was a need for Sri Lankans to study English. Therefore, experts of English language teaching have to find possible methods to teach it successfully in order to make the students perform their activities well in English. There was a time when it was felt that teaching of any language cannot be divorced from its literature.  It is assumed that literature would arouse interest among the adult learners of English. The present study is to find out the possibilities of using literary texts to promote effective language learning at university level focusing on developing writing skills. The paper analyses how pieces taken from English literature and literature in English could be used in classrooms teaching English for Specific Purposes in order to motivate adult learners to become proficient in General English in the first phase. The study was conducted using questionnaires, interviews with the students, lecturers and administrators. Five workshop sessions were conducted at different intervals during the three-month study. The researcher was able to record the students’ involvement in the learning process from their written performance. The paper analyses and proves qualitatively how the students improved in their proficiency through teaching of literature.
INSIGHTS FROM STUDENTS’ LANGUAGE LEARNING DIARIES
Authors: Nešić Ivana , Spasić-Stojković Milica
Published: June 2023

Language learning diaries have become a very popular source for collecting qualitative data in foreign language learning research. The data cannot be easily obtained in another manner since it involves the process of introspection. Since many aspects of language learning are not easily accessible or observable, introspection sheds light on the language learning process. The evidence which can be obtained by diary studies proves that students’ experiences in learning a foreign language can significantly influence their attitudes and motivation for learning a foreign language. Furthermore, it can have major pedagogical and practical implications for the outcomes of foreign language learning. The aim of this paper is to identify the linguistic and non-linguistic factors from students’ diaries which influence their learning process. In this study, the students’ diaries were analyzed in terms of the themes (recurring patterns) which appeared most frequently. After the data from students’ language learning diaries were categorized into themes, each theme was analyzed separately both in terms of the count of mentions (frequency) in the students’ diaries (numerical/quantitative data) and qualitatively, by interpreting students’ opinions, feelings, experiences, expectations and attitudes towards learning English.
Una historia de la construcción del monumento a Juárez en Ciudad de México
Authors: Silva Contreras Mónica
Published: June 2023

El objetivo de este artículo es contribuir a sustentar la valorización del monumento a Benito Juárez en la Alameda Central de Ciudad de México (conocido también como Hemiciclo a Juárez). El proyecto del arquitecto Guillermo Heredia, basado en referencias clasicistas, fue elegido mediante concurso en 1909 y realizado bajo la dirección del ingeniero Ignacio León de la Barra. Parte del valor constructivo de esta estructura reside en el empleo del sistema de cimentación Compressol por parte del ingeniero Miguel Rebolledo. La infraestructura sustentó un pórtico de concreto armado que siguió los cálculos y procedimientos del sistema patentado por François Hennebique.
Vulnerabilidad climática y vivienda en zonas áridas: primeros acercamientos en Torreón, Coahuila
Authors: Quiroa Herrera Jaime Andrés , González Calderón Alleck Johnnathan , Villanueva Solís Jorge
Published: June 2023

El objetivo principal de este trabajo es identificar y contrastar si existen condiciones de vulnerabilidad de acuerdo con las temperaturas del aire y superficiales externas registradas en las viviendas analizadas en la zona estudiada. Para este trabajo se toma como referencia metodológica la "Evaluación de Riesgo y Vulnerabilidad" propuesta por la ONU para evaluar la Vulnerabilidad Climática; se hizo un levantamiento de datos de temperaturas del aire y superficiales en el exterior de seis viviendas seleccionadas y se compararon entre sí para identificar si existen elementos de vulnerabilidad en una situación de calor. Los resultados muestran que, de los casos analizados, existen elementos para afirmar que sí existe vulnerabilidad en función de las temperaturas y que ésta puede incrementar si se toman en cuenta los escenarios de cambio climático para la región.
ANALYSIS OF ACOUSTIC AND PHYSICAL PROPERTIES OF OIL PALM EMPTY FRUIT BUNCH PARTICLE COMPOSITE BOARDS FABRICATED WITH VARYING ADHESIVE CONTENT
Authors:   Universitas Tanjungpura, Fatisa Huril , Siswo Nugroho Bintoro ,   Universitas Tanjungpura, Nurhanisa Mega ,   Universitas Tanjungpura, Wahyuni Dwiria ,   Universitas Tanjungpura, Asri Asifa ,   Universitas Tanjungpura
Published: June 2023

A study was performed to analyze the sound intensity level and physical properties of a composite board made from oil palm empty fruit bunch (OPEFB) particles mixed with polyvinyl acetate (PVAc) adhesive. The composite boards were fabricated with various concentrations of adhesive, namely 8%, 10%, 12%, 14%, and 16%. The intensity level was measured at sound wave frequencies of 125 Hz, 250 Hz, 500 Hz, 1000 Hz, 2000 Hz, and 4000 Hz. The results showed that the highest sound intensity level, 74,2 dB at a frequency of 500 Hz, was found in the composite board with an 8% adhesive concentration. This composite board is categorized as a low-density composite board. The lowest sound intensity level, 58,6 dB at a frequency of 125 Hz, was found in the composite board produced with 16% adhesive concentration. This composite board is categorized as a high-density composite board. The physical property test results for all adhesive concentration variations showed that the resulting composite board density was 0,705-0,723 g/cm3, and the moisture content was 8,36%-9,66%. These values met the requirements of SNI 03-2105-2006.
Comparative Study to Identify the Heart Disease Using Machine Learning Algorithms
Authors: Khandare Aditya
Published: June 2023

Abstract: Heart disease is a major health concern globally, and it is a leading cause of death, especially in developing countries in Africa and Asia. Early detection of heart disease can play a crucial role in preventing its occurrence and reducing its impact. This is where the use of deep neural networks (CNNs) and the Django framework can be highly beneficial. The CNN algorithm is a machine learning technique that uses multiple layers of artificial neural networks to analyze complex data and identify patterns. In the case of heart disease prediction, the CNN algorithm can be trained on a dataset such as the UCI dataset, which contains a large amount of data related to heart disease risk factors and patient characteristics. The dataset can be split into training and testing data to enable the algorithm to learn and validate its accuracy.
Recent Use Pattern of Power Tiller, Tractor and Combine Harvester in Odisha
Authors: Swain Dr. Satyananda
Published: June 2023

Abstract: The present study was conducted to determine the use pattern of power tiller, tractor and combine harvester .The data was collected with the help of a pre-structured questionnaire and interaction with selected farmers in three districts of Odisha. Namely Cuttack, Sonepur, and Khordha for the study. From each district, were selected three districts, and from each block, two villages were randomly selected. Young operators were relatively less careful primarily due to their age and maturity. On the contrary, it was observed that farmers in the age group of more than 35 years had proper experience and could handle minor troubles in their implements more efficiently. More than 50% of the operators were found in the age group of 35-50 years in all the districts as compared to 35% for age group 25-35 years and 15% for the age group below 25 years. The operators' educational qualification of 10" standard and above was found to be between 49-59% for power tillers as compared to 39-51% for tractors and 31-48% for combine harvester. The operators' educational qualification below 10th standard was found to be 53-65% for power tillers, 49-61% for tractors and 75-78% for combine harvesters. The rate of haring of power tiller amounting Rs.800.00 is noted in the districts with 5% deviation where as that of tractor was Rs 1500.00 with 15% deviation and for combine harvester was Rs 2500.00 with 10-15% deviation.
Tech Book (A Web-Application which Connects you through a Technology)
Authors: Rana Ms. Anita , Sagar Kripa
Published: June 2023

Abstract: As the name specifies “TechBook” is a Web Application developed for managing the search of technologies by the individual users. Identification of the drawbacks of the existing system leads to the designing of computerized system that will be compatible to the existing system with the system Which is more user friendly. We can improve the efficiency of the system, thus overcome the drawbacks of the existing systems i.e. Less human error , Strength and strain of manual labour can be reduced , High security , Data redundancy can be avoided to some extent ,Data consistency , Easy to handle , Easy data updating , Easy record keeping ,Backup data can be easily generated. To manage all these, we can design a full-fledged software which can take care of all the above operations with the help of technologies like: HTML, CSS, JAVA, JSP, AJAX, MySQL, JDBC etc. It is a more closed network, where members usually only connect with people they already know or have been introduced to by someone in their network. This makes TechBook ideal for building professional relationships, as opposed to personal ones.
Prediction of Length of Stay in Emergency Department for COVID19 Patients: A Machine Learning Approach
Authors: Kumar K. Kranthi , Maruthi S. , Prasad Mudavath , Teja Javaji Agni Charan , Srujan Kurra
Published: June 2023

Abstract: The outbreak of coronavirus disease (Coronavirus) is turning into a worldwide danger towards general wellbeing. length of stay (LOS) in emergency departments (ED) in US has created due to flood in Covid patients. We mean towards encourage a trustworthy assumption model thinking about Covid patient ED LOS and recognize clinical characteristics related among LOS inside a "4-hour target." Data were accumulated from a metropolitan, demographically different crisis facility in Detroit thinking about all ED presentations of Covid patients from Walk 16 towards December 29, 2020. We prepared four AI models across various information handling stages towards foresee Coronavirus patients among an ED LOS of not exactly or more prominent than four hours. These models included logistic regression (LR), gradient boosting (GB), decision tree (DT), & random forest (RF). survey reviewed 16, suitable clinical components, and 3,301 Covid patients among affirmed ED LOS. among a F1-score of 0.88 and a precision of 85%, GB model beat gauge classifier (LR), tree-based classifiers (DT and RF), and testing information. Further division didn't generally additionally foster accuracy. previously mentioned concentrate on found huge free factors specific anticipated ED stay in patients among broadened Coronavirus, in view of a mix of patient socioeconomics, comorbidities, and functional ED information. forecast structure can be used as a choice help device towards upgrade clinic and crisis division asset arranging and towards illuminate patients regarding latest ED LOS projections.
Artificial Intelligence Tools for Enhancing Customer Experience
Authors: Pal Suraj , Halder Shubham , Talware Prof. A. D.
Published: June 2023

Abstract: Customers are the key to any business and the major challenge for any established business is retaining an existing customer and acquiring a new customer. One of the many ways to reduce the churn rate and increase customer retention is to improve the customer experience. As businessesare growing, their customer base is also increasing. Each and every customer is different and needs different kind of motivators to engage with the business and hence we need to understand each and every customer uniquely. Artificial Intelligence tools can blend the gap between the business and the client, creating enormous information that can prompt further comprehension ofthe client’s preferences. Understanding these artificial intelligence tools and how these tools can assist organizations with retaining clients and help them give better involvement to their clients is significant. However, in academic research this significant research area stays under-focussed. Hence this study tries to address this gap by proposing a conceptual model for understanding how the Artificial Intelligence tools are can help in enhancing customer experience. The narrative literature review approach has been adopted for conceptualization of the model. The study provides implications to practitioners for designing and developing AI tools such that they enhance customer experience, to managers for designing the information technology strategy of their companies, to academicians as it helps explore new technologies in the marketing domain and to the society as it will help improve customer experience thereby leading to customer satisfaction.
Rainfall Interception by Mature Coastal and Interior Forests in British Columbia
Authors: Spittlehouse Dave , Maloney Dave
Published: June 2023

Interception of rainfall by forest canopies and its evaporation back to the atmosphere is an important component of the hydrological balance. We quantify the influence of six mature forests at two coastal and one southern interior locations in British Columbia on interception loss. Drainage from the canopy was measured with throughfall troughs and stemflow collars that emptied into tipping buckets monitored by data loggers. Interception loss was evaluated on an event basis and summed to monthly and seasonal totals. The throughfall coefficients increased with a decrease in canopy volume with values of 0.3 for the south coast forest, 0.5 for the north coast forests, and 0.6 for the southern interior forests. The respective saturation capacities were 2.0, 1.1, and 0.6 mm. The average evaporation rates during events varied from 0.05 to 0.3 mm h-1 at all sites. Consequently, for large events, interception loss was dominated by evaporation and replenishment of water in storage during the event. Increasingn event size increased interception loss, which tended to plateau at large events. The coastal forests had throughfall 75±2 percent, stemflow 1±0.2 percent, and interception loss 24±2 percent of the May to November rainfall. The respective values for the interior forests were 72±3 percent, 0.05±0.05 percent, and 28±3 percent of the late May to October rainfall. The similarity between coastal and interior sites in the partitioning of the seasonal rainfall resulted from the differing distributions of event size and similar evaporation rates of intercepted water during events.
OUTLOOK KOMODITAS KARET ALAM INDONESIA 2023
Authors: Syarifa Lina Fatayati , Agustina Dwi Shinta , Alamsyah Aprizal , Nugraha Iman Satra , Asywadi Hajar
Published: June 2023

Karet merupakan salah satu komoditi perkebunan strategis yang telah memberi kontribusi sangat berarti bagi perekonomian Indonesia. Selama kurun waktu 2017-2021, perkebunan karet Indonesia menghadapi banyak permasalahan eksternal, seperti rendahnya harga karet, serangan penyakit gugur daun Pestalotiopsis, serta adanya dampak pandemi Covid-19. Kajian kinerja dan prospek karet diperlukan untuk menentukan kebijakan yang bisa diambil dalam mempertahankan keberlangsungan industri karet di Indonesia. Penelitian dilakukan dengan metode desk study, menggunakan data sekunder statistik karet. Data yang digunakan berupa data time series tahunan dan triwulanan dalam 5-12 tahun terakhir. Metode analisis yang digunakan adalah metode analisis deskriptif dan analisis forecasting. Hasil analisis menunjukkan bahwa selama periode 2017-2021, produksi dan produktivitas karet menunjukkan tren penurunan dengan masing-masing sebesar 4,03% per tahun dan 3,61% per tahun. Hal yang sama juga terjadi pada kinerja ekspor karet yang mengalami penurunan sebesar 7,33% per tahun. Hasil analisis forecasting menunjukkan harga karet alam TSR 20 dari bulan Oktober 2022 sampai dengan September 2023 diproyeksikan rata-rata sebesar US$ 1,23 seiring dengan proyeksi pertumbuhan ekonomi global yang mulai memasuki resesi di semester II tahun 2022 sampai 2023. Selanjutnya pada proyeksi jangka panjang di tahun 2025 harga karet alam TSR 20, diproyeksikan akan kembali meningkat mencapai sebesar US$ 1,5 per kg karet kering, dan diproyeksikan akan terus meningkat di tahun 2027 menjadi US$ 2,5 per kg karet kering. Hasil analisis menunjukkan masih perlunya upaya-upaya untuk kembali meningkatkan produksi dan produktivitas karet melalui dukungan pemangku kebijakan dalam penyediaan dana untuk mengakselerasi penggunaan klon-klon karet berproduksi tinggi dan tahan penyakit tanaman karet. Upaya tersebut dapat dilaksanakan melalui program peremajaan karet rakyat serta perlunya peningkatan serapan konsumsi karet baik di dalam maupun luar negeri.
STUDI PENGARUH PENGGUNAAN PLASTICIZER DARI MINYAK JELANTAH EPOKSI TERHADAP KINETIKA VULKANISASI KARET
Authors: Satwikanitya Pani , Saputra Andri , Wahyu Sya'bani Muh. , Pambudi Wisnu , Fitra Agustian Mertza
Published: June 2023

Limbah minyak jelantah yang tidak dikelola dengan baik berdampak negatif terhadap lingkungan. Minyak jelantah yang mengandung asam lemak tak jenuh dapat dijadikan bahan baku pembuatan minyak epoksi dan berpotensi sebagai plasticizer kompon karet. Penelitian ini bertujuan untuk mempelajari kinetika vulkanisasi karet menggunakan plasticizer minyak jelantah epoksi. Sintesis minyak epoksi dilakukan dengan metode refluks skala batch pada suhu 60°C dan variasi waktu 4, 6, dan 8 jam. Minyak epoksi yang terbentuk digunakan sebagai plasticizier pada kompon karet. Kinetika vulkanisasi karet dipelajari menggunakan pendekatan model reaksi orde 1, orde 2, dan Deng-Isayev. Hasil penelitian menunjukkan bahwa model Deng-Isayev dapat memberikan pendekatan yang paling baik terhadap kinetika vulkanisasi karet menggunakan minyak jelantah epoksi, dibandingkan dengan kedua model yang lain. Energi aktivasi karet dengan plasticizer minyak jelantah epoksi (158-200 kJ/mol) lebih tinggi dibanding menggunakan plasticizer komersial (63–87 kJ/mol), seperti epoxidized soybean oil (ESO) dan paraffinic oil (PO). Namun, kompon dengan plasticizer minyak jelantah yang diepoksidasi selama 6 jam (MJE 6) menghasilkan nilai torsi dan k tertinggi (MH = 18,39 kg.cm dan k = 1,51 x 10-5 s-1) dibandingkan formulasi lainnya. Bahan pemvulkanisasi dapat terdistribusi di dalam kompon karet dengan lebih baik, ikatan silang yang terbentuk cukup banyak dan kecepatan vulkanisasi tinggi karena memiliki bilangan oksiran yang lebih besar, sehingga kompon lebih reaktif.
English Language Curicculum for Student Teachers Training to Perform in Cultirally Diversified Settings
Authors:   Foreign Systems of Pedagogical and Adult Education Department, Ivan Ziaziun Institute of Pedagogical and Adult Education of the NAES of Ukraine, Avsheniuk Nataliia , Seminikhyna Nataliya , Lutsenko Olena ,   National Agency for Higher Education Quality Assurance (Ukraine),   Department of Foreign languages, Faculty of Economics, Taras Shevchenko National University of Kyiv,   Department of Foreign Languages for Natural Sciences Faculties, Institute of Philology, Taras Shevchenko National University of Kyiv
Published: June 2023

As Ukraine continues to move toward Europe and the rest of the world, it is crucial that teachers improve their English language competence. Teachers’ language proficiency corresponds with their capacity to provide effective quality education for diverse classrooms to reach global competence. Cultural diversity in the school population is becoming the norm rather than the exception in Ukraine. The recent rise in immigration is accountable for the rapid and significant demographic changes in Ukraine’s school-aged population. The study’s primary objective is to assess student teachers’ perspectives on the objective, content, teaching and learning process, and assessment and evaluation elements of the importance and sufficiency of the English proficiency curriculum implemented at Ukraine’s faculty of education to meet the needs of the culturally diverse school population. The case study design was used as one of the research methods. The study’s participants were 14 student teachers from four different faculties of education at Ukrainian universities. Participants were chosen using a criterion sampling model. The data was collected using an open-ended question form designed by the authors during the spring semester of the 2020–2021 academic year. The data collected was analysed using content analysis. The findings revealed that participants’ attitudes about the objective aspect of the student teachers’ English language curriculum were generally good. On the other side, it was determined that the curriculum was insufficiently tailored to students’ needs, interests, and degrees of English language competence. Furthermore, participants identified insufficient time for activities, a limited selection of classroom activities (case study, collaborative work, discussion), and short course hours as unfavourable features. The implications of the results might help improve the English proficiency curriculum and equip student teachers to work successfully with school children who have a diversity of language and learning difficulties.