bluuebunny/crossref_metadata_2025 huggingface dataset:
Face Mask Use and Associated Factors Among Students: Mixed Methods Study
Authors: Addis Gesese Abreha , Duer Thot Tut
Published: April 2023

Background

COVID-19 has gravely affected the world, including students, due to the high level of contracting infections.

Objective

This study assessed the magnitude of mask use and associated factors among students.

Methods

A cross-sectional study using mixed methods was conducted among students at Gambella Teachers’ Education and Health Science College, Gambella Region, Southwest Ethiopia, from March 5 to March 30, 2021. The stratified random sampling technique was used. Proportional allocation of samples was used to randomly select case teams, and a simple random sampling technique was used to recruit the students. The data were collected by trained and experienced enumerators. Data were entered into EpiData (version 3.1; EpiData Association) and exported to SPSS (version 22; IBM Corp) for analysis. Logistic regression was executed. The adjusted odds ratio (AOR) with the 95% CI was used to determine the association and strength with the outcome variable. The qualitative data were transcribed, translated, coded, and analyzed using thematic analysis. Then, the themes were used to triangulate the quantitative study.

Results

The study included a total of 379 participants and yielded a response rate of 95.5% (379/397). The majority of study participants were older than 25 years, with the mean age being 26.34 (SD 5.8) years. This study found that the magnitude of mask use among students was 87% (330/379). The odds of mask use were higher among students who were female (AOR 3.32, 95% CI 1.191-9.248), younger (AOR 2.55, 95% CI 1.155-5.627), agreed that not all persons with COVID-19 develop severe disease (AOR 3.38, 95% CI 1.36-8.41), agreed that there is currently no effective cure (AOR 6.28, 95% CI 1.36-28.99), performed proper washing with soap and water (AOR 0.027, 95% CI 0.004-0.182), had started to stay home (AOR 0.168, 95% CI 0.054-0.52), agreed that COVID-19 is fatal (AOR 0.236, 95% CI 0.084-0.666), agreed that a flu vaccine is sufficient for COVID-19 prevention (AOR 3.874, 95% CI 1.540-9.749), and disinfected equipment and working areas at least once a day (AOR 0.222, 95% CI 0.086-0.575).

Conclusions

This study found that the magnitude of mask use among students was relatively moderate in Ethiopia. Sex, age, agreeing that not all persons with COVID-19 develop severe disease, agreeing that there is currently no effective cure, performing proper washing with soap and water, starting to stay home, agreeing that COVID-19 is fatal, and agreeing that the flu vaccine is sufficient to prevent COVID-19 were independently associated with mask use among students. Therefore, colleges should aggressively encourage students to wear masks and monitor the implementation of COVID-19 prevention regulations along with the accessibility of masks.
Web-Based Social Networks of Individuals With Adverse Childhood Experiences: Quantitative Study
Authors: Cao Yiding , Rajendran Suraj , Sundararajan Prathic , Law Royal , Bacon Sarah , Sumner Steven A , Masuda Naoki
Published: April 2023

Background

Adverse childhood experiences (ACEs), which include abuse and neglect and various household challenges such as exposure to intimate partner violence and substance use in the home, can have negative impacts on the lifelong health of affected individuals. Among various strategies for mitigating the adverse effects of ACEs is to enhance connectedness and social support for those who have experienced them. However, how the social networks of those who experienced ACEs differ from the social networks of those who did not is poorly understood.

Objective

In this study, we used Reddit and Twitter data to investigate and compare social networks between individuals with and without ACE exposure.

Methods

We first used a neural network classifier to identify the presence or absence of public ACE disclosures in social media posts. We then analyzed egocentric social networks comparing individuals with self-reported ACEs with those with no reported history.

Results

We found that, although individuals reporting ACEs had fewer total followers in web-based social networks, they had higher reciprocity in following behavior (ie, mutual following with other users), a higher tendency to follow and be followed by other individuals with ACEs, and a higher tendency to follow back individuals with ACEs rather than individuals without ACEs.

Conclusions

These results imply that individuals with ACEs may try to actively connect with others who have similar previous traumatic experiences as a positive connection and coping strategy. Supportive interpersonal connections on the web for individuals with ACEs appear to be a prevalent behavior and may be a way to enhance social connectedness and resilience in those who have experienced ACEs.
Changes in Online Food Access During the COVID-19 Pandemic and Associations With Deprivation: Longitudinal Analysis (Preprint)
Authors: Keeble Matthew , Adams Jean , Burgoine Thomas
Published: April 2023

BACKGROUND

Food prepared out of home is typically energy-dense and nutrient-poor. Online food delivery services have become a popular way to purchase such food. The number of accessible food outlets through these services can influence how frequently they are used. Anecdotally, food outlet access through online food delivery services increased in England between 2020 and 2022, in the context of the COVID-19 pandemic. However, the extent to which this access changed is poorly understood.

OBJECTIVE

We aimed to investigate monthly changes in online access to food prepared out of home in England in the context of the first 2 years of the COVID-19 pandemic compared with November 2019 and the extent to which any changes were associated with deprivation.

METHODS

In November 2019 and monthly between June 2020 and March 2022, we used automated data collection to construct a data set containing information about all food outlets in England registered to accept orders through the leading online food delivery service. Across postcode districts, we identified the number and percentage of food outlets registered to accept orders and the number that was accessible. We used generalized estimating equations (adjusted for population density, the number of food outlets in the physical food environment, and rural/urban classification) to investigate the change in outcomes compared with prepandemic levels (November 2019). We stratified analyses by deprivation quintile (Q).

RESULTS

Across England, the summed number of food outlets registered to accept orders online increased from 29,232 in November 2019 to 49,752 in March 2022. Across postcode districts, the median percentage of food outlets registered to accept orders online increased from 14.3 (IQR 3.8-26.0) in November 2019 to 24.0 (IQR 6.2-43.5) in March 2022. The median number of food outlets accessible online decreased from 63.5 (IQR 16.0-156.0) in November 2019 to 57.0 (IQR 11.0-163.0) in March 2022. However, we observed variation by deprivation. In March 2022, the median number of outlets accessible online was 175.0 (IQR 104.0-292.0) in the most deprived areas (Q5) compared with 27.0 (IQR 8.5-60.5) in the least deprived (Q1). In adjusted analyses, we estimated that the number of outlets accessible online in the most deprived areas was 10% higher in March 2022 compared with November 2019 (incidence rate ratios: 1.10, 95% CI 1.07-1.13). In the least deprived areas, we estimated a 19% decrease (incidence rate ratios: 0.81, 95% CI 0.79-0.83).

CONCLUSIONS

The number of food outlets accessible online increased only in the most deprived areas in England. Future research might attempt to understand the extent to which changes in online food access were associated with changes in online food delivery service use and the possible implications on diet quality and health.
Evaluation of an Electronic Care and Rehabilitation Planning Tool With Stroke Survivors With Aphasia: Usability Study (Preprint)
Authors: Davoody Nadia , Eghdam Aboozar , Koch Sabine , Hägglund Maria
Published: April 2023

BACKGROUND

Patients with chronic illnesses with physical and cognitive disabilities, particularly stroke survivors with aphasia, are often not involved in design and evaluation processes. As a consequence, existing eHealth services often do not meet the needs of this group of patients, which has resulted in a digital divide.

OBJECTIVE

The aim of this study was to examine the effectiveness and user satisfaction of an electronic care and rehabilitation planning tool from the perspective of stroke survivors with aphasia. This would help us gain knowledge on how such a tool would need to be adapted for these patients for further development.

METHODS

Usability tests were conducted with 9 postdischarge stroke survivors with aphasia. Effectiveness was measured using task-based tests, and user satisfaction was studied through qualitative interviews at the end of each test. All tests were audio recorded, and each test lasted approximately 1 hour. The data were analyzed using qualitative content analysis. As the tool can be used by stroke survivors either independently or with some support from their next of kin or care professionals, the research group decided to divide the participants into 2 groups. Group 1 did not receive any support during the tests, and group 2 received some minor support from the moderator.

RESULTS

The results showed that the care and rehabilitation planning tool was not effective for stroke survivors with aphasia, as many participants in group 1 did not accomplish the tasks successfully. Despite several usability problems and challenges in using the tool because of patients’ disabilities, the participants were positive toward using the tool and found it useful for their care and rehabilitation journey.

CONCLUSIONS

There is a need to involve patients with chronic illnesses more in the design and evaluation processes of health information systems and eHealth services. eHealth services and health information systems designed for this group of patients should be more adaptable and flexible to provide them with appropriate functionalities and features, meet their needs, and be useful and easy to use. In addition, the design and evaluation processes should be adapted, considering the challenges of this patient group.

CLINICALTRIAL
Health Care Workers’ Expectations of the Mercury Advance SMARTcare Solution to Prevent Pressure Injuries: Individual and Focus Group Interview Study (Preprint)
Authors: Slob Joeri , van Houwelingen Thijs , Kort Helianthe S M
Published: April 2023

BACKGROUND

The transformation in global demography and the shortage of health care workers require innovation and efficiency in the field of health care. Digital technology can help improve the efficiency of health care. The Mercury Advance SMARTcare solution is an example of digital technology. The system is connected to a hybrid mattress and is able to detect patient movement, based on which the air pump either starts automatically or sends a notification to the app. Barriers to the adoption of the system are unknown, and it is unclear if the solution will be able to support health care workers in their work.

OBJECTIVE

This study aims to gain insight into health care workers’ expectations of factors that could either hamper or support the adoption of the Mercury Advance SMARTcare unit connected to a Mercury Advance mattress to help prevent patients from developing pressure injuries in hospitals and long-term care facilities.

METHODS

We conducted a generic qualitative study from February to December 2022. Interviews were conducted, and a focus group was established using an interview guide of health care workers from both the United Kingdom and the Netherlands. Thematic analysis was performed by 2 independent researchers.

RESULTS

A total of 14 participants took part in the study: 6 (43%) participants joined the focus group, and 8 (57%) participants took part in the individual interviews. We identified 13 factors based on four themes: (1) factors specifically related to SMARTresponse, (2) vision on innovation, (3) match with health care activities, and (4) materials and resources involved. Signaling function, SMARTresponse as prevention, patient category, representatives, and implementation strategy were identified as facilitators. Perception of patient repositioning, accessibility to pressure injury aids, and connectivity were identified as barriers.

CONCLUSIONS

Several conditions must be met to enhance the adoption of the Mercury Advance SMARTcare solution, including the engagement of representatives during training and a reliable wireless network. The identified factors can be used to facilitate the implementation process.
Automatic Detection of Helmets on Motorcyclists Using Faster - RCNN
Authors: Azhari Aliyyah Nur , Wahyono Wahyono
Published: April 2023

Motorcycles have been a popular choice for a go-to daily means of transportation due to its lower price, making it affordable for high to low-class citizens. Helmets are required for every motorcycle owner so that the rider’s head is protected from accidents. However, not many people follow the rules and tend to not wear helmets and plenty of them underestimate the usage of helmets. For this, it is necessary to implement a system that can detect which rider wears the helmet or not by applying deep learning techniques. This paper aims to implement one of the deep learning techniques, which is Faster R – CNN to detect the helmets and the motorcyclists. After training 400 images using different learning rates, the mean average precision (mAP) achieved the highest with 87% using the learning rate of 0.0001
Real-Time Face Recognition Civil Servant Presence System Using DNN Algorithm
Authors: Putra Yogi Angga , Imelda Imelda
Published: April 2023

Facial recognition has become a growing topic among Computer Vision researchers because it can solve real-life problems, including during the COVID-19 pandemic. The pandemic is why the Indonesian government has imposed social restrictions and physical contact in public places. Before the pandemic, most touch-based attendance systems used fingerprints or Radio Frequency Identification (RFID) cards. The solution proposed in this study is to identify real-time facial recognition of the Civil Service presence system using a Deep Neural Network. The goal is to minimize physical contact. The research stages include data collection, augmentation and preprocessing, CNN modeling and training, model evaluation, converting to OpenCV DNN, implementation of transfer learning, and identification of test data. This research contributes to testing variations in distance and position so it can recognize a person's face even when wearing a mask and glasses. This DNN model produces a validation accuracy value of 99.48% and a validation loss of 0.0273 with a data training process of 10 times. Tests for variations in distance, position, use of masks, and glasses on MTCNN detection provide an average accuracy for each trial of 100%, 96%, and 100%, respectively. Therefore, the average accuracy of the Haar Cascades detection test is 100%, 85%, and 100%.
Fishku Apps: Fishes Freshness Detection Using CNN With MobilenetV2
Authors: Hanifa Muthia Farah , Ramadhan Anugrah Tri , Husna Ni’Matul , Widiyono Nabila Apriliana , Mubarak Rhamdan Syahrul , Putri Adisti Anjani , Priyanta Sigit
Published: April 2023

Marine fish are one of the most promising economic commodities for the Indonesian economy. Marine fish will decrease in protein content along with the decreasing level of freshness of the fish that will be consumed. There are still many people who do not know about the classification of fresh and unfresh fish, so we need a system that can classify which fish are fresh and which are not. Previous studies have succeeded in classifying tuna using a convolutional neural network (CNN) algorithm with an accuracy of 90%. In the preprocessing stage of this research, segmentation is carried out, which aims to separate the object to be studied and the background image, then feature extraction is carried out using a color moment, which aims to get the value of the object to be studied. This research was conducted to increase the accuracy value in the freshness classification of tuna and also to add some fish for freshness detection, such as mackerel and milkfish, using the MobilenetV2. The results were able to produce accuracy of 97%, 94%, and 93% for each fish. The freshness detection method in this study has been implemented in the Fishku mobile-based application.
Comparison of CNN Models With Transfer Learning in the Classification of Insect Pests
Authors: Syahputra Angga Prima , Siregar Alda Cendekia , Insani Rachmat Wahid Saleh
Published: April 2023

Insect pests are an important problem to overcome in agriculture. The purpose of this research is to classify insect pests with the IP-102 dataset using several CNN pre-trained models and choose which model is best for classifying insect pest data. The method used is the transfer learning method with a fine-tuning approach. Transfer learning was chosen because this technique can use the features and weights that have been obtained during the previous training process. Thus, computation time can be reduced and accuracy can be increased. The models used include Xception, MobileNetV3L, MobileNetV2, DenseNet-201, and InceptionV3. Fine-tuning and freeze layer techniques are also used to improve the quality of the resulting model, making it more accurate and better suited to the problem at hand. This study uses 75,222 image data with 102 classes. The results of this study are the DenseNet-201 model with fine-tuning produces an accuracy value of 70%, MobileNetV2 66%, MobileNetV3L 68%, InceptionV3 67%, Xception 69%. The conclusion of this study is that the transfer learning method with the fine-tuning approach produces the highest accuracy value of 70% in the DenseNet-201 model.
Aplikasi RFID untuk Sistem Identifikasi Stasiun Kereta Api
Authors: Ishartomo Farid , Basuki Panggih
Published: April 2023

AbstrakRancangan ini bertujuan untuk merancang prototipe sistem identifikasi stasiun kereta api yang dilewati sebuah kereta menggunakan RFID dan mikrokontroler AT89S51. Dulu Radio Frequency Identification (RFID) terdiri dari RFID reader dan RFID transponder sebagai perangkat identifikasi stasiun kereta api. RFID reader memancarkan frekuensi tertentu untuk mengidentifikasi RFID transponder. Di sisi lain, RFID transponder akan menerima sinyal dari frekuensi RFID reader, dan kemudian mengirim data identitas unik untuk RFID reader. Data identitas yang  dibaca akan diproses dan ditransmutasikan oleh mikrokontroler, lalu mengubahnya menjadi informasi data nama stasiun kereta api. Dari hasil pengujian, terlihat bahwa sistem RFID digunakan dalam aplikasi ini telah membaca tentang kisaran 4,05 cm. Mengidentifikasi data dari setiap tag yang telah diolah menjadi data nama stasiun kereta api yang menginformasikan kepada penumpang melalui teks dan suara. Teks ditampilkan dengan LCD M1632, sementara suara yang disiarkan melalui pengolahan perangkat suara ISD 2560 terhubung dengan speaker.  Kata kunci— RFID reader, RFID transponder, stasiun kereta api, mikrokontroler  Abstract This project is aimed to design a prototype of identification system of railway station which passed by a train using RFID and microcontroller AT89S51. It used Radio Frequency Identification (RFID) consist of RFID reader and RFID transponder as a railway station identification devices. RFID reader transmits certain frequency to identify RFID transponder. In the other side, RFID transponder will receive frequency signal from RFID reader, and then send the unique identity data to RFID reader. This readable identity data will processed and transmuted by microcontroller, then changed it to be information data of railway station’s name. From testing results, it showed that the RFID system used in this application have read range about 4,05 cm. Identity data of each tag had been processed to be data of railway station’s name which informed to passengers through text and sound. Text is displayed with LCD M1632, while the sound is broadcasted through sound processing device ISD 2560 connected with speaker. Keywords— RFID reader, RFID transponder, railway station, microcontroller
Analisis Unjuk Kerja K-Nearest Neighbour untuk Klasifikasi Citra Aksara Bali Tulis Tangan
Authors: Widiarti Anastasia Rita , Suparwito Hari
Published: April 2023

A lack of philologists and the vulnerability of palm leaf material have become triggers for the scripting automation or transliteration of Balinese script images on computer-assisted palm leaves. One possibility to solve this problem is to create a transliteration machine. We proposed a machine learning technique using the k-NN algorithm to create a transliteration of Balinese script images. The benefit of the kNN algorithm is simply working by matching the similarity of new data to the nearest test data.   Instead of focusing on the classification technique, the study approaches also analyze the two previous processes: the first process is an image preparation process consisting of binarization, cutting the blanks, equalizing size, and thinning. The second is a feature extraction process using the character intensity algorithm. Our experiment employed 18 classes representing 18 Balinese characters. The optimal accuracy using a 3-fold cross-validation method to 1001 image data yields an average of accuracy is 84.746%. Although the image data used is handwritten, however, kNN algorithm performed classification well using an extensive training dataset. For that reason, the kNN algorithm could be potential for Balinese script images transliteration.
Sistem Pengawasan Physical Distancing di Tempat Umum Menggunakan Kamera Berbasis Deep Learning
Authors: Dinata Rizqy Arya , Candradewi Ika , Prastowo Bambang Nurcahyo
Published: April 2023

Pembatasan jarak fisik merupakan salah satu cara yang diterapkan untuk mencegah penyebaran virus pada tempat umum. Pelaksanaan pembatasan jarak fisik tersebut memerlukan pengawasan agar berhasil sesuai harapan. Pengawasan yang dilakukan secara manual terutama pada tempat dengan tingkat keramaian tinggi kurang efektif karena memerlukan banyak petugas di lokasi yang justru akan menambah keramaian.Pada penelitian ini dikembangkan purwarupa sistem pengawasan pembatasan jarak fisik dengan memanfaatkan kamera CCTV dengan pemrosesan citra digital berbasis computer vision dan deep learning. Metode yang digunakan adalah kombinasi pendeteksian dan pelacakan pedestrian dengan YOLOv4 dan DeepSORT. Metode trigonometri digunakan dalam proses estimasi jarak untuk mendeteksi pelanggaran pembatasan jarak oleh pedestrian. Pada penelitian ini didapatkan hasil pengujian dengan nilai terbaik recall 0,86; precision 0,69 dan mean average precision (mAP) sebesar 0,83 dengan metode pelatihan transfer learning model YOLOv4 dengan maksimum batch 6000 menggunakan 473 data latih dan 119 data validasi. Keseluruhan sistem mencapai kecepatan rata-rata proses real-time yakni pada 24 sampai 26 FPS.
Music Genre Identification Using SVM and MFCC Feature Extraction
Authors: Yehezkiel Septian Yogi , Suyanto Yohanes
Published: April 2023

Indonesia  is a very diverse country because it has a vast territory and is occupied by millions of people from various tribe. Therefore, traditional music in Indonesia is also diverse because each region has its own culture and art.  In this study, the author used the Support Vector Machine(SVM) pattern recognition  to identify the Indonesian traditional music genre. This genre identification system is able to produce an accuracy of 83% using MFCC.Keywords : traditional music identification, Mel Frequency Cepstral Coefficient, Support Vector Machine.
Controlling and Monitoring of Temperature and Humidity of Oyster Mushrooms in Tropical Climates
Authors: Desnanjaya I Gusti Made Ngurah , Sugiartawan Putu
Published: April 2023

Controlling the temperature and humidity of oyster mushroom cultivation is done manually by spraying air on the mushroom container so it takes a lot of time and effort. This is done to meet the requirements for growing oyster mushrooms which are strongly influenced by temperature and humidity conditions so that they can grow well. In this study, a device for controlling and monitoring the temperature and humidity of oyster mushroom cultivation was made automatically based on Arduino UNO. This tool can regulate and monitor the temperature and humidity in oyster mushroom cultivation automatically so that the temperature and humidity can be maintained without having to spend a lot of time and effort. The components used in building the automatic temperature and humidity controller for mushroom cultivation based on the Arduino UNO are the dht11 sensors, Arduino UNO, L298N driver, relay, and 16x2 I2C LCD. From the results of the tests that have been carried out, it can be concluded that the temperature and humidity control and monitoring device for automatic oyster mushroom cultivation based on Arduino UNO has been able to work well in regulating and monitoring temperature and humidity as expected.
Sistem Pemantauan Pertumbuhan Anggrek Berdasarkan Pengolahan Citra Digital
Authors: Satriorini Magnolia Gina Ro'fataka , Sumiharto Raden , Hujja Roghib Muhammad
Published: April 2023

Growth monitoring and plant protectionis the major aspect of horticulture because its productivity depends on the health of the plants. Manual direct measurement methods tend to be destructive  towards  observed  plants. In  this  research,  a  smart  non-contact  growth  monitoring system was implemented on a chamber with orchid plants asthe objectsobserved. The images of  the  orchids  were  taken  and  became  the  input  of  the  system  to  be  processed  to  estimate  the height of the plants.The contour of the orchid plant as the object was obtained and the height was calculated based on the highest and the lowest contour.The result shows that the developed system is proven to be capable of measuring orchid’s height in real-time  with  accuracy  more than  95,7%.  Thus,  this  system will  effectively  help  farmers  to improve  the  quality  and  the quantity of the plant’s productivity.
Comparison of Soil Nitrate and Phosphorus Concentrations Prior to and Five to Eleven Years after Recycled Water Irrigation
Authors: Lin Yuhung , Bai Fanxiao , Li Jizhou , Qian Yaling
Published: April 2023

Increasing demand on water supplies in western US and more stringent wastewater discharge standards have made recycled water a common water source for irrigating urban green spaces. Studies are needed to evaluate nitrate-N leaching potential and phosphorus (P) movement along soil profile when recycled wastewater is used for irrigation. We collected and analyzed soil samples at the commencement and 5 and 11 years after recycled water irrigation on 2 golf courses, 5 metropolitan parks, and 1 school ground. Samples were taken at 0-20, 20-40, 40-60, 60-80, and 80-100 cm depths on golf courses and at 0-20 and 20-40 cm depths at other locations. Soil samples were tested for soil pH, soil nitrate, and AB-DTPA extracted P level. No increase in soil nitrate-N was observed over 5 and 11 years with recycled water irrigation, suggesting leaching of nitrogen to the groundwater was not a great concern. Soil P concentration at the surface soil depth was the highest 11 years after recycled water irrigation. Moreover, soil P increasing below the surface layer was observed on sites with sandy soil, suggesting long-term recycled water irrigation could impose some risk for P leaching on sandy soil.
Bienestar Subjetivo-Hedónico y Psicológico-Eudaimónico y el uso de Protección para el Cuidado de la Salud Física en la Sexualidad
Authors: Castro Muñoz John Alexander
Published: April 2023

El estudio de la promoción de la salud sexual ha considerado ampliamente variables psicosociales, como la psicoeducación, algunos auto esquemas como la autoeficacia, entre otras, sin contemplar la participación del bienestar, a pesar de la evidencia existente sobre su vinculación con los hábitos y comportamientos de vida saludable. De acuerdo con ello, se realizó un estudio cuantitativo, descriptivo, correlacional de corte transversal no experimental para analizar, desde la psicología positiva, la relación entre la percepción de bienestar hedónico, bienestar eudaimónico, y la practica sexual protegida. Participaron 460 adultos jóvenes con edades entre los 18 y 35 años (M=22,00; DE: 3,62) residentes en la ciudad de Bogotá, Colombia. Para el cumplimiento de los objetivos se realizaron los análisis de estadística descriptiva e inferencial correspondientes, y en el caso de la construcción de una de las escalas, los análisis psicométricos. Los resultados no evidenciaron diferencias significativas en función del sexo, aunque si relaciones significativas entre las dos formas de bienestar y la práctica sexual protegida. Al final se discuten las implicaciones del abordaje del bienestar para la promoción y prevención de la salud sexual.
BIENESTAR Y EMOCIONES: ANÁLISIS COMPARATIVO DEL DISCURSO DE ADULTOS MAYORES DE MÉXICO Y DEL URUGUAY
Authors: Silva Castillo Luis Hernando , Camacho Gutiérrez Everardo , Maldonado Saucedo Margarita
Published: April 2023

Objetivos: Describir los promedios de expresiones emocionales positivas y negativas y su diferencia en adultos mayores de México y el Uruguay en condiciones institucionales y no institucionales y establecer un análisis comparativo entre dicha variable y la salud reportada por los mismos adultos mayores estudiados. Método: El método utilizado en este estudio fue cuantitativo comparativo Resultados: Los resultados nos muestran que se reportaron más las experiencias positivas que negativas independientemente del país. Se encontraron diferencias estadísticamente significativas entre ambos países mostrando niveles más elevados en emociones positivas, en México a diferencia de Uruguay. De igual forma se observó diferencias significativas entre adultos mayores institucionalizados y no institucionalizados (asistentes a centros de día), siendo este último grupo el que mostró mayor número de emociones positivas.  Conclusiones: Los resultados reflejan lo que se llama la paradoja del envejecimiento, es decir que, a pesar del declive físico y cognitivo, los participantes mencionan más expresiones positivas que negativas. La condición de institucionalización hace la diferencia en como las personas mayores se expresan positivamente mientras que hay una tendencia a tener una mayor diferencia con predominio de expresiones positivas en la condición de salud con respecto a los adultos mayores que reportaron alguna enfermedad.
Demostración práctica de la importancia de la longitud de onda en la espectroscopia Ultravioleta Visible
Authors: Amaya Vesga Álvaro Andrés , Carvajal Grimaldos Astrid Carolina , Gómez Tarazona Raúl Armando , Mendoza Castellanos Yeisson Ricardo
Published: April 2023

En el presente trabajo se llevó a cabo el diseño de una serie de experimentos que tienen como objetivo brindar a los docentes de cursos de química analítica, herramientas que le permitan demostrar de manera práctica la importancia de la selección de la longitud de onda de análisis en las mediciones de absorbancia en la disciplina de la espectroscopía de ultravioleta visible. Inicialmente, se plantearon una serie de experimentos basados en la absorción de radiación por parte de soluciones de azul de metileno y azul de bromotimol (con pH regulado a 3,7) a diferentes concentraciones. Para ello, se hizo pasar un haz de color rojo (665 nm) y violeta (405 nm) sobre una serie de soluciones de azul de metileno y azul de bromotimol a estudiar y se observó de forma cualitativa la atenuación de la intensidad (o potencia) del haz de radiación después de salir de la celda, teniendo en cuenta que, a mayor atenuación o disminución de la intensidad de la radiación, mayor sería la absorbancia por parte de la muestra. Finalmente, se propone un experimento en el laboratorio basado en la realización de curvas de calibración de azul de metileno y azul de bromotimol (regulado a pH de 3,7) a diferentes longitudes de onda (665 y 425 nm), con el fin de proveerle información cuantitativa al estudiante sobre la importancia de la selección de la longitud de onda en aplicaciones de la espectroscopía de absorción ultravioleta visible.
GALIO Gaming: Aprendizaje Lúdico de Química Inorgánica y Orgánica Parte 1: Desarrollo de un proyecto lúdico-didáctico en la Facultad de Química de la UNAM
Authors: Reina Miguel
Published: April 2023

Los juegos educativos han demostrado en los últimos años que son herramientas pedagógicas útiles y eficientes, ya que contribuyen a la enseñanza y el aprendizaje en un ambiente distendido. Diversos esfuerzos se han realizado en la enseñanza de cursos introductorios de química para favorecer el aprendizaje de temas complejos y transversales abordándolos de manera sencilla, divertida e incluso competitiva. En la Facultad de Química de la UNAM, hemos generado una serie de juegos de mesa de química que tratan temas de las materias de los primeros semestres de las diferentes carreras que se imparten en la Facultad. La aplicación de estos juegos de mesa en el aula de clase ha mostrado resultados interesantes que apuntan a la utilidad y eficiencia de esta metodología pedagógica en términos del aprendizaje. Dichos resultados prometedores permitieron producir de forma física los juegos de mesa de química para que estén permanentemente disponibles para estudiantes y profesores en la Facultad y que puedan ser utilizados de manera lúdica y didáctica. En este artículo mostramos los diferentes trabajos realizados y su impacto en el aprendizaje de alumnos de los primeros semestres de la Facultad de Química.
La importancia del estudio de los problemas ambientales en el bachillerato. El adelgazamiento de la capa de ozono como ejemplo.
Authors: Coló Andrade Raúl Eduardo , Irazoque Palazuelos Glinda
Published: April 2023

Este trabajo inició con una investigación sobre las concepciones alternativas que los estudiantes de bachillerato (15 a 18 años) presentan sobre el adelgazamiento de la capa de ozono. Con base en el análisis de los resultados obtenidos, se diseñó y probó una secuencia de enseñanza aprendizaje con el objeto de propiciar un conocimiento más significativo de las causas y efectos del fenómeno ambiental. Los resultados muestran una mejoría en varios de los aspectos analizados, sin embargo, se recomienda contemplar el estudio de estos temas de manera integral en los currículos del bachillerato.
Plant Growth-promoting Ability and Pathogen Inhibitory Effect of Actinomycetes Isolated from Fecal Pellets of the Giant Millipede Thyropygus resimus (Diplopoda)
Authors: Sutthisa Waraporn , Paraphong Warisara , Pimvichai Piyatida
Published: April 2023

The microbial properties of millipede fecal pellets have been studied mainly in Glomerida (pill millipedes), and much less in the significant majority of other millipede groups. Therefore, the present study examined actinomycetes isolated from the fecal pellets of the non-glomerid giant millipede Thyropygus resimus Attems, 1938 (Spirostreptida) to (1) test their plant growth-promoting ability, and (2) evaluate their potential to control and inhibit plant pathogenic microorganisms. Millipedes were collected from Phu Kum Khao, Kalasin Province, Thailand. A total of 59 actinomycete isolates were obtained and identified as belonging to the genus Streptomyces using 16S rRNA sequencing. The plant growth-promoting properties of the isolates were tested by screening four characteristics: nitrogen fixation, phosphate solubility, siderophore production, and indole-3-acetic acid (IAA) production. A nitrogen-fixation test on nitrogen-free solid malate media (NFM) showed that 54 isolates were capable of fixing nitrogen. Phosphate solubility was tested on double-layered glucose yeast extract agar (GYA) medium containing tricalcium phosphate. This showed that 42 isolates formed a clear zone around the colonies due to phosphate dissolution. Siderophore production was tested on chrome azurol sulfate (CAS) agar. This showed that 55 isolates could grow on this medium and form clear yellow to orange zones around their colonies. IAA production tests revealed that 41 isolates could produce IAA. Based on the combined results of these four tests, eight of the 59 isolates were the most effective in promoting plant growth: KLS-AC04, KLD-AC01, KLD-AC02-1, KLD-AC08, KLD-AC09, KLD-AC16, KLD-AC29-1, and KLD-AC30. Seventeen isolates inhibited the growth of Xanthomonas oryzae pv. oryzae, the causal agent of bacterial leaf blight disease in rice, more effectively than rifampicin (100 ppm), with isolate KLS-AC02-1-1 being the most effective (inhibition zone, 58.25 mm in diameter). Therefore, these isolates can be used for growth promotion and rice disease control in the future.
Photocatalytic Bleaching of Fast Green in Presence of Zinc Oxide as Photocatalyst
Authors: Gulati Seema , Shringi Sudha Sukhwal , Mathur Ritu
Published: April 2023

Abstract: The photocatalytic bleaching of Fast Green on zinc oxide powder has been carried out in presence of light. The photocatalytic bleaching of dye was observed spectrophotometrically. The effect of variation of different parameters like concentration of Fast Green, pH, amount of zinc oxide, and light intensity on the rate of photocatalytic bleaching was observed. A tentative mechanism for the photocatalytic bleaching of Fast Green has been proposed.
Integrated Approach on Industrial Hygiene Program for Pharmaceutical Industry
Authors: Manivannan J. , Raman T.
Published: April 2023

Abstract: Hazardous chemicals have the potential to purpose poisonous effects on human being. Industrial hygiene is the take a look at of the way to anticipate, understand, evaluate, and control of administrative centre situations which could result in people experiencing illness or injury. This take a look at goals to design what is the entire bodily category of airborne contaminants because of chemical compounds directly and circuitously in to our frame. Considering the importance of hygiene in occupational exposure to active pharmaceutical ingredient (API) may cause unintended health impacts in the handling of these drugs by employees. In an industrial setting, where a worker offers a route of exposure to a powerful chemical compound, there is a high likelihood or risk that the compound will produce the designed response. Industrial hygiene offers needed policies to prevent occupational exposure to powerful compounds and elements of a good powerful safety program for compounds. Industrial hygiene is all about anticipating and assessing the hazards of powerful compounds; determining which of the procedures present the greatest risks; assessing the risks; and controlling future occupational exposures mainly through engineering and administrative systems. all safety precautions should be introduced and failure of control exposures to powerful compounds may result in expensive program mistakes, delayed manufacturing schedules and possibly dangerous exposures to industrial employees.
Design and Development of Ethereum based Crowdfunding using Blockchain Technology
Authors: Anavkar Kaustubh , Vishwakarma Ashish , Sardar Rohit , Pandey Prof. Vivek
Published: April 2023

Abstract: A growing number of enterprises, including start-up firms, artistic activities, and charitable causes, are being funded through crowdfunding. Traditional crowdfunding websites, on the other hand, struggle with a variety of issues, including prohibitive pricing, a lack of transparency, and fraud concerns. These issues have led to an increase in the use of blockchain technology as a crowdfunding platform. A decentralized, open-source ledger using blockchain technology safely and permanently records transactions. It provides several advantages for crowdsourcing, including decreased costs, increased transparency, and improved efficiency. Blockchain technology has the potential to open up crowdfunding to a wider range of investors, particularly those in developing countries with limited access to traditional financial institutions. Blockchain technology can be utilised for crowdfunding and smart contracts as well. Numerous procedures associated with crowdfunding, such as fund disbursement and investor verification, can be automated thanks to these self-executing contracts. Automation allows for a significant reduction in administrative work and a faster, more precise crowdfunding procedure. The goal of this article is to advance understanding regarding the application of crowdfunding using blockchain technology. We'll review the body of literature on blockchain and crowdfunding, take into account the benefits and drawbacks of doing so, and offer a framework for implementing blockchain-based crowdfunding. Our study will contribute to the growing body of knowledge on blockchain and crowdfunding, which will be helpful to policymakers, company owners, and investors interested in using blockchain for crowdfunding.
Question Generator and Text Summarizer Using NLP
Authors: Chettukindi Sathwik
Published: April 2023

Abstract: The main objective of this project is to develop an application to generate the questions from a given passage or paragraphs. This project is an application of Natural Language Processing (NLP). The application generates different types of questions such as MCQ’s. The current project helps the teachers to prepare questions to the examinations, quizzes etc. It also helps the students to get summary from the text they provide. The summary would be generated from given text then, the application identifies key concept in summary. It identifies key words from sentences and generates MCQ’s. The other options other than correct option called as Distractors. The application also paraphrases the input text. It allows the extraction of summary from the text is done by T5 Transformer Technique. We generate distractors using WordNet. The key words can be extracted by using Key BERT Technique. The questions are displayed or GUI is developed with the help of the Gradio (A user friendly Web-Interface). The application majorly targets every organization. The application develops Frequently Asked Questions (FAQ’s) of the customers to the particular organizations, which in terms gives the customer more information of the organizations. This application overrides the traditional method of preparing questions, and the complexity involved in making questions.
Automated Height, Weight and BMI Detector System
Authors: Dharaskar Prof. Bhagyashree , Gabhane Bhagyesh , Pande Vaibhavi , Bonde Amol , Mallewar Sakashi , Gokhare Bhavesh
Published: April 2023

Now a day, everything is getting digitized day by day. It decreases the extra efforts of human and make our lives easier and simpler. Project aims to automate the overall process to selection in bulk. This project is inspired by selection process for defense sector, police recruitments and sports selection in bulk. By taking a look at the selection process. It took a very long time for evaluations and to enter it into records with accuracy. This is how we got the idea to change the manual system into automated system. While going for an automated system, we found that the system is very expensive we worked on how to minimize the price and make it pocket friendly for user. To create an automated system with the advancement of technology we are using IOT. To detect the height, weight, BMI of a person with accuracy we will use sensors. The sensors will also scan and stores the person’s data in the database in addition to this, our system is pocket friendly and affordable. We will also add age, name and other details of candidate in same thing. We are also taking help from some of the research papers available online
Solar Powered E-Car
Authors: Rao T. Jaganmohana , Divyateja A.P. , Madhavi G. , Kanchanamala CH. , Saipradeep A.
Published: April 2023

Abstract: The basic idea behind a solar electric car is to utilise the power that is stored in a battery both during and after a solar panel charge. Due to the fact that they don't release any greenhouse gases or other pollutants while in operation, solar automobiles are made with environmental protection in mind. Solar-powered cars have the ability to rapidly minimize the demand on fossil fuels, which would slow their depletion and reduce the negative effects of climate change. In this project, we'll investigate how a charge controller can be used to control the flow of electricity produced by a solar panel array into a battery pack. The stored energy will subsequently be used to power a PMS motor, which will drive the car. The direction and speed of the car's movements will be under our control via a motor controller. Additionally, we'll talk about the procedure for assembling the car's mechanical components. Finally, we'll demonstrate how to attach the electrical system to the car's mechanical frame.
Kajian Karakteristik Fisikokimia dan Organoleptik Beras Analog Berbahan Dasar Tepung Gembili (Dioscorea aculleata. L), Tepung Jagung (Zea mays, L) dan Pati Sagu (Metroxylon sp)
Authors: Rachma Oktavianasari Rosalia , Damat Damat , Manshur Hanif Alamudin
Published: April 2023

Beras analog adalah produk olahan berbentuk butiran seperti beras terbuat dari bahan pangan non beras, yang dapat dihasilkan menggunakan metode ekstrusi. Beberapa bahan lokal yang memiliki potensi tersebut yaitu tepung gembili, tepung jagung dan pati sagu. Penelitian ini menggunakan metode Rancangan Acak Lengkap (RAL) sederhana yaitu perbandingan tepung gembili, tepung jagung dan pati sagu dengan total 10 unit percobaan yang menggunakan parameter uji kadar air, kadar serat kasar, kadar amilosa, waktu pemasakan, indeks penyerapan air, volume pengembangan, tekstur gumminess (kelengketan) serta uji organoleptik hedonik. Formulasi terbaik yang dihasilkan pada penelitian ini adalah F2 yang terdiri dari tepung gembili 40% + tepung jagung 20% + pati sagu 40% dengan kadar air sebesar 6,357%, kadar serat kasar 5,454%, kadar amilosa 22,20%, waktu pemasakan 6,09 menit, indeks penyerapan air 170%, rasio volume pengembangan 2,89 cm3, tekstur (kelengketan) 2,91 N, aroma dengan skor 3,53 (suka), rasa dengan skor 3,51 (suka), warna dengan skor 2,84 (netral) dan keseluruhan dengan skor 3,53 (suka).
Karakteristik Fisiko-Kimia Beras Analog Kombinasi Dari Pati Sagu, Tepung MOCAF, Tepung Porang (Amorphophallus muelleri), dan Tepung Kedelai.
Authors: Ningtyastuti Dyan , Damat Damat , Winarsih Sri
Published: April 2023

Beras analog merupakan produk beras olahan yang terbuat dari bahan baku selain beras seperti tepung dari umbi-umbian dan serelia yang bertujuan sebagai pangan pokok alternatif pengganti beras. Beberapa bahan lokal yang digunakan pada penelitian ini yaitu pati sagu, mocaf, tepung kedelai dan tepung porang. Penelitian ini bertujuan untuk mengetahui sifat karakteristik fisiko-kimia dan organoleptik beras analog dan mencari komposisi campuran pati sagu, mocaf, tepung porang dan tepung kedelai yang optimal sehingga menghasilkan beras analog dengan dengan mutu sensori terbaik. Penelitian ini terdiri dari 5 formulasi sampel yaitu konsentrasi pati sagu, mocaf, tepung porang dan tepung kedelai. Percobaan menggunakan metode Rancangan Acak Lengkap (RAL) sederhana. Parameter pengamatan meliputi uji proksimat seperti kadar air, kadar abu, kadar lemak, kadar protein, kadar karbohidrat serta uji fisik densitas kamba. Selain itu pengamatan nasi analog melalui uji organoleptik secara hedonik.Hasil penelitian berpengaruh nyata antara formulasi pati sagu, mocaf, tepung porang dan tepung kedelai terhadap karakteristik sifat fisiko-kimia dan organoleptik beras analog dan nasi analog. Formulasi terbaik berdasarkan parameter uji proksimat dan uji organoleptik secara hedonik diperoleh dari proporsi F5 pati sagu (45%) ; mocaf (30%) ; tepung porang (5%) ; tepung kedelai (20%). Kadar air 4,63%, kadar abu 2,2%, kadar protein 6,91%, kadar lemak 13,0%, kadar karbohidrat 75,6%. Selain itu ditentukan berdasarkan orgnoleptik meliputi rasa yang memiliki skor 4,86 (agak suka), aroma 4,70 (agak suka), tekstur 3,73 (agak tidak suka), keseluruhan 4,96 (agak suka).