bluuebunny/crossref_metadata_2025 huggingface dataset:
Home Automation based on Raspberry Pi
Authors: Yudantoro Tri Raharjo
Published: January 2023

Every human being wants to feel safe and comfortable when traveling or leaving home empty. in addition to feeling safe and comfortable, homeowners also want electronic equipment at home can be controlled easily to reduce the waste of electricity and can know the condition of the house remotely.therefore, a home automation system is needed which enables homeowners to travel to control the use of electronic devices at home and to know the state of the house, accessible wherever and whenever. With the existence of these problems then made the final task with the title Home Automation based Raspberry PI.the purpose of this final task is to make Home Automation system with Raspberry PI, LDR sensor, RTC and PIR sensors. This system is used to control lights and webcam automatically. The LDR sensor is used to get the light intensity to automate the lamp.rTC is used to get the current time on Raspberry Pi which then can be used to turn the lights on and off. The PIR sensor is used to read the human movement which then for the automation of the webcam in taking pictures of the state of the house. This system can also be controlled manually on a smartphone by using Telegram Bot inside Telegram app.the methodology used in designing this system is waterfall. The system is tested by creating a home model containing lights inside the house and outdoors.the results of testing with questionnaires conducted to 10 respondents obtained level of satisfaction of 79.2% which means Raspberry Pi Home-based system satisfactory.
Design of E-KTM Based On Contactless Smartcard for Access Electro Department Parking Service State Polytechnic of Semarang
Authors: Widodo Sarono
Published: January 2023

E-KTM is an electronic student identification (card ID) card which function besides to student identity, it can be used to access several services at State Polytechnic of Semarang such as to access parking service. In this research, E-KTM has used contactless smart card technology will be used to access facilities parking at electro department area parking. The gate of parking area will be installed two barrier gate to entrance and exit. To access this parking facility, E-KTM must be attached to RFID reader near the entrance gate, and then the barrier gate could open. The system controlled with microcontroller arduino Mega 2560 and will automatically take and save the data of the card ID in database system, and then the infrared sensor would detected the object and a few minutes the barrier gate closed. The system also works for the exit. While the performance to determine average service time with results 2.927 open time and 2.913 close time 2.95 seconds for entrance gate and 2.792 open time and 2.789 close time for exit gate.

Index Terms—E-KTM card ID, Parking service, database system
Performance of MiMo-OFDM Systems in Rayleigh Channel
Authors: Wardihani Eni Dwi
Published: January 2023

Along with the development of wireless communication makes the increasing demand for obtaining quality services and better range, bandwidth-efficient and reliable system. OFDM is a multicarrier transmission technique to overcome multipath fading, which may result in intersymbol interference (ISI). On the other hand there is the antenna system with the use of multiple antennas at the transmitter and receiver that can also be overcome multipath fading,ie Multiple Input Multiple Output (MIMO) to increase channel capacity and diversity gain. MIMO techniques used in this Final adaldah Space Time Block Code. Simulation aims to simulate and analyze the MIMO OFDM technique using space-time block code against the influence of the number of subcarriers and influence user speed in AWGN channel and Rayleigh. The simulation results based on the number of subcarriers in AWGN channel, the best performance is obtained by subcarrier number 256. With BPSK and QPSK modulation obtained BER = 6 10-4 when SNR 4 dB. Simulation based on Rayleigh channel obtained when BER = 9.7 10-5 with BPSK modulation. Based on the comparison of the greater frequency doppler given doppler frequency, resulting in BER generated even greater, because the state of the canal will be getting worse.
Comparison Study of Performance Analysis of Information System Using The Methods of End-User Computing Satisfaction and It Balance Score Card
Authors: Siregar Roy Sari Milda Siregar
Published: January 2023

Evaluation of information system performance is needed to get an overview of the ease of end-users in utilizing a new technology. This study aims to evaluate the performance of information systems in a state-owned company (PT PLN Madya Langsa) based on an end-user perspective that is separated into two categories: employees and managers. The level of employee satisfaction (primary user) is measured using EUCS (aspect of: content, accuracy, format, ease of use, timeliness, and satisfaction). The manager's satisfaction level (secondary user) is measured by using IT BSC (aspect of: company contribution, user, operational excellence, and future orientation). The evaluation on the primary user showed that it was low at 25.6%, moderate at 56.64% and high at 18%. The percentage of user satisfaction with the information systems is 72.9% of the results expected by users. Meanwhile, evaluation on the secondary user obtained the following results: low at 10.5%, moderate 84.2% and high at 5.3%. The percentage of user satisfaction with the information system was 92.8% of the results that is expected by users. This study also discusses why there are differences in the percentage of primary user satisfaction compare to the secondary user and provides suggestions how to improve the level of satisfaction of the end users in the future.
A Comprehensive Look at Oktrik: An Innovative Tech Tutorial Resource
Authors: J Rosari
Published: January 2023

Oktrik is an innovative website that provides a comprehensive range of tech tutorials and how-tos for users of all skill levels. Founded by Rosari J, oktrik is designed to help users quickly and easily gain the necessary skills to succeed in the tech world. The topics on the site range from the latest Android news to web development, with a clear focus on providing reliable and up-to-date information.

The tutorials are written in an easy to understand format, making them ideal for those just starting out in tech. The content is well researched and the sources are trustworthy, giving users the confidence to learn and grow. Furthermore, the tutorials are regularly updated so users can stay informed on the latest trends and developments.

Oktrik is an excellent resource for anyone looking to stay informed and up-to-date in the tech world. The tutorials are easy to navigate and the information provided is rich and reliable. The founder, Rosari J, is highly knowledgeable and provides an invaluable resource for those looking to learn more about the latest trends in tech.

The website is highly recommended for novice users, as it provides an easy to understand format with reliable sources and well-researched topics. With its comprehensive range of topics and clear tutorials, oktrik is an invaluable resource for any tech enthusiast.
Monitoring System Of Parking Land Availability And Number Of Cars In Web-Based Parking Place On The Smart Parking System
Authors: Diba Miftavinda Farah
Published: January 2023

According to data obtained from the website www.bps.go.id, the total number of motorized vehicles in Indonesia in 2018 was 146,858,759. The result of the increase in the number of motorized vehicles is that it is increasingly difficult to find parking space. People also often experience difficulties when finding which parking lot is still empty because there is no information about the state of the parking lot. Based on these problems, people need a system to check the parking lots available by utilizing the Internet of Things (IoT). Smart Parking Monitoring System is a web-based parking monitoring system that displays real-time parking availability information. The data was collected by simulating parking the car in the parking lot. Monitoring data transmission from the sensor node to the server is done using Wireshark software. The test results of the propagation time that occur in the data transmission process for an interval of 1 minute 15 seconds and the 5-second data transmission interval are 5053 milliseconds. The average value of the propagation time that occurs in the process of receiving data from the server is 197 milliseconds.
Air Quality Monitoring and Decision Support System Using IoT
Authors: Mashuri Agus Alwi
Published: January 2023

Air is one of the most important elements of life for living things in the world. For humans, the air is an element that is very concerned because it is related to health. In Jakarta, the Air Pollution Standard Index (ISPU) is ranked second as the capital city of a country with poor air quality. Air quality in Jakarta is monitored by an Air Quality Index (AQI) of 160 with parameters in the form of very small pollutant particles with a diameter of fewer than 2.8 micrometres (PM 2.8). The purpose of this research is how we make a tool that can determine the quality of the air around us and can be carried (portable) anywhere easily. In accordance with the 4.0 industrial revolution that everything has been integrated with the Internet of Things (IoT) technology where the public can find out the air condition in real-time. In this study, the prototype method is used as a test. The main components are sensors consisting of MQ-6 (CO2 and smoke), MQ-7 (CO, LPG, CH4), MQ135 (Butane, AirQuality), and DHT-11 (Humidity, temperature). From the research that has been done where the air quality in urban areas has a low air quality index by measuring it using a prototype consisting of a gas sensor and Arduino microcontroller, which has been made to produce an average CO2 of 25 ppm, CO 2330 which has exceeded the threshold, while NH3 1.23 and C4H10 1120 are still below the threshold. These values are influenced by pollutants generated by transportation such as motorbikes, cars, and land transportation
Improved Decission Tree Performance using Information Gain for Classification of Covid-19 Survillance Datasets
Authors: Ivandari Ivandari , Maulana Much. Rifqi , Al Karomi M. Adib
Published: January 2023

One of the most feared infectious diseases today is COVID-19. The transmission of this disease is quite fast. Patients also sometimes do not have the same symptoms. Overcoming the spread of the pandemic has been widely carried out throughout the world. Apart from the medical method, there are also many other methods, including computerization. Data mining is a discipline that can project data into new knowledge. One of the main functions of data mining is classification. Decision tree is one of the best models to solve classification problems. The number of data attributes can affect the performance of an algorithm. This study uses information gain to select the attribute features of the Covid-19 surveillance dataset. This study proves that there is an increase in the accuracy of the decision tree algorithm by adding information gain feature selection. Previously, the decision tree only had an accuracy rate of 65% for the classification of the Covid-19 surveillance dataset. After pre-processing using information gain, the accuracy rate increased to 75%.
Temperature, Humidity, and Power Outage Monitoring System of Pamapersada Nusantara’s Server Racks
Authors: Sadewa Eskandaru Erin , Beta Samuel
Published: January 2023

Data center is a vital location that must be managed. The room contains central devices that are essential for operational continuity of the information system. Like the PT Pamapersada Nusantara data center, this room needs to be maintained according to standards. One thing that needs to be maintained is temperature, humidity, and electricity because they have a direct impact on IT equipment and can be potentially fatal if they are not in standard conditions. Meanwhile, the data center being researched uses manual checks for temperature, humidity, and electrical power supply. The problem is the inconsistency of the administrator in documenting these parameters and the lack of responsiveness of repairs if an anomaly occurs in the parameter value, because the data is not real time. This research aims to build a monitoring system for monitoring temperature, humidity, and power outage at the PT Pamapersada Nusantara data center which provides direct notifications to administrators. Current similar studies generally do not include the sensor location factor which is essential. The sensor installation is not randomly placed in the room, nor in the hot aisle or in the cold aisle, but in the server rack so that the temperature and humidity truly represent the surroundings of the device as ASHRAE recommend. Referring to ASHRAE, the standard temperature is 18° C - 27° C while the humidity is 20% - 60%. This research starts from a needs analysis through a survey, followed by equipment design, equipment testing by comparing with manual measuring tools. ESP8266 and DHT22 sensors are used, telegram as system output in the form of notifications. Notifications are sent when the temperature and humidity values are not in standard conditions, they are sent every day at 07.00 and 15.00, and they are sent if there is 5% increasing or decreasing values. The results show that the system successfully sends a notification on telegram when the conditions are met. Tests using comparisons with other measuring instruments also show a deviation of values below 2%. Measurements on the server rack show varying value depending on the occupancy of the rack and its position against the air conditioner
The Impact of Groundwater Level Stress on the Morphological, Anatomical and Physiological of Beans (Phaseolus Vulgaris L.) in the Generative Phase
Authors: Meihana Mei , Lakitan Benyamin
Published: January 2023

Kegiatan alih fungsi lahan yang terjadi sampai saat ini menyebabkan ketersediaan lahan kering untuk budidaya sayuran semakin berkurang oleh karena itu optimalisasi lahan basah perlu dilakukan.Salah satu lahan basah yang potensial adalah lahan rawa lebak. Penelitian ini bertujuan untuk mengetahui dampak morfologis, anatomis dan fisiologis cekaman muka air tanah dangkal dan genangan terhadap tanaman buncis di lahan rawa lebak. Penelitian dilaksanakan pada Oktober 2017 sampai dengan Januari 2018 di kolam percobaan yang berlokasi di Kelurahan Demang Lebar Daun Palembang dan di Laboratorium Terpadu Pascasarjana Fakultas Pertanian Universitas Sriwijaya Palembang. Penelitian menggunakan Rancangan Acak Kelompok (RAK) dengan perlakuan kontrol (tidak direndam), M-13 (MAT 13 cm di bawah permukaan tanah), M-8 (MAT 8 cm di bawah permukaan tanah), M-3 (MAT 3 cm di bawah permukaan tanah) dan WL+2 (genangan 2 cm di atas permukaan tanah). Setiap perlakuan diulang 3 kali. Hasil penelitian menunjukkan bahwacekaman MAT dengan kedalaman 3 cm di bawah permukaan tanahdan genangan meningkatkan kandungan prolin tetapi menurunkan kandungan klorofil, laju perluasan daun relatif (RLER),berat segar daun spesifik (SLFW), dan kandungan air daun spesifik (SLWC). Jaringan akar terbentuk sejak satu hari setelah perlakuan diberikan. Tanaman buncis yang mengalami MAT dengan kedalaman 3 cm di bawah permukaan tanah dan genangan hanya mampu hidup selama 6 hari. Sementara tanaman buncis yang diberi perlakuan kedalaman MAT di atas 3 cm menunjukkan kemampuan untuk terus bertahan dan berhasil pulih. Tanaman buncis merupakan tanaman yang adaptif terhadap kondisi kedalaman MAT lebih dari 3 cm di bawah permukaan tanah dan berpeluang untuk dikembangkan di lahan rawa lebak.
Toponimia leonesa en el Camino de Santiago: de Astorga a O Cebreiro
Authors:   Universidad de Oviedo, Fuente Cornejo Toribio
Published: January 2023

En esta presentación se analizarán las referencias toponímicas mencionadas en el Liber Peregrinationes (LP), libro V del Codex Calixtinus, de un tramo del Camino Francés, en concreto el que va desde Astorga a O Cebreiro, por tierras de la Maragatería y luego, tras superar el Alto de Foncebadón, por las del Bierzo. Astorga, Rabanal del Camino, Molinaseca, Ponferrada, Cacabelos, Villafranca del Bierzo, Castillo de Sarracín (Castrum Sarracenicum) y La Faba (Villaus) son los topónimos poblacionales tratados.
A toponimia e historia do Camiño de Santiago ao seu paso polo concello de Samos (Lugo). A información do Tombo do mosteiro de Samos
Authors:   Universidade de Santiago de Compostela, Sánchez Pardo José Carlos , Fernández Ferreiro Marcos ,   Universidade de Santiago de Compostela
Published: January 2023

Este traballo pretende salientar o potencial que ten o estudo conxunto e interrelacionado da toponimia galega coa documentación altomedieval para extraer datos de interese tanto para a historiografía coma a filoloxía, mediante a análise concreta dunha zona do Camiño Francés ao seu paso polo actual concello de Samos. Para iso basearémonos na rica documentación do Tombo do mosteiro de Samos, que achega as referencias históricas e toponímicas escritas máis antigas sobre sete localidades polas que transcorre o devandito camiño, e cuxa evolución estivo estreitamente vinculada á expansión do patrimonio do poderoso cenobio de San Xulián de Samos.
O papel da toponimia na reconstrución das paisaxes históricas: exemplos arredor do Camín Francés na Asturias occidental
Authors:   Universidá d’Uvieo, Menéndez Blanco Andrés ,   Università degli Studi di Genova, Álvarez-Balbuena García Fernando ,   Universidá d’Uvieo
Published: January 2023

Este artigo presenta potencialidades e problemáticas do uso da toponimia dentro das investigacións arqueolóxicas e históricas. A continuación formúlase a necesidade de facer unha recolla da toponimia popular de tradición oral que siga unha serie de pasos para garantir a súa utilidade na investigación. Finalmente, a través de dous casos de estudo do occidente asturiano móstranse algunhas posibles aplicacións da toponimia na investigación das paisaxes históricas. Escóllense para isto exemplos onde esta fonte ten un papel chave na construción de interpretacións dentro dun diálogo horizontal con outras: arqueolóxicas, documentais, cartográficas…
Support Vector Regression Machine Learning based Maximum Power Point Tracking for Solar Photovoltaic systems
Authors: Venkata Mahesh P. , Meyyappan S. , Alla RamaKoteswaraRao
Published: January 2023

Photovoltaic panels use the sun’s radiation on their surface to convert solar energy into electricity. This process is dependent on the temperature of the surface and the intensity of the sun's radiation. To escalate the energy transformation, the solar system must be functioned at its maximum power point (MPP). Every maximum power point tracking (MPPT) technique has a distinct mechanism for tracking maximum power point (MPP). The support vector machine (SVM) regression algorithm is used in this work to develop a novel method for tracking the MPP of a PV panel. The solar panel technical parameters were used to prepare the data for training and testing the SVM model. The SVM algorithm predicts the PV panel's maximum power and relevant voltage for specific irradiation and temperature. The duty cycle of the boost converter corresponding to the maximum power was evaluated using the predicted values. The result of the simulation shows that the proposed control strategy forces the solar panel to work near the predicted MPP. The SVM regression control strategy gives the MPP tracking efficiency of more than 94% for the solar PV system despite variable climatic conditions during its stable state operation. In addition, a comparative analysis of the proposed method was carried out with the existing approaches to confirm the effective tracking of the proposed technique.
Radar Signal Recognition Based on Multilayer Perceptron Neural Network
Authors: Kumari Chilukuri Raja , Kishore Kakarla Hari , Subba Rao K
Published: January 2023

Low Probability of Intercept (LPI) radars are developed on an advanced architecture by making use of coded waveforms. Detection and classification of radar waveforms are important in many critical applications like electronic warfare, threat to radar and surveillance. Precise estimation of parameter and classification of the type of waveform will provide information about the threat to the radar and also helps to develop sophisticated intercept receiver. The present work is on classification of modulation waveforms of LPI radar using multilayer perceptron neural (MLPN) network. The classification approach is based on the following two steps. In the first step, the waveforms are analysed using cyclstationary technique which models the signal in bi-frequency (BF) plane. Using this algorithm, the BF images of the signals are obtained. In the second step, the BF images are fed to a feature extraction unit to get the salient features of the waveform and then to the multilayer perceptron neural (MLPN) network for classification. Nine types of noise free modulation waveforms (Frank, four polyphase codes and four poly time codes) are classified using the images obtained in the first step. The success rate achieved is 100 % for noise free signals. The experiment is repeated for various noise levels up to -12dB SNR. The noisy signals, before feeding to the MLPN network, are denoised using two types of denoising filters connected in cascade and the classification success rate achieved is 93.3% for signals up to -12dB SNR.
Tuna Swarm Optimization with 3D-chaotic map and DNA encoding for image encryption with lossless image compression based on FPGA
Authors: B. Hebbale Sunil , S. Giridhar Akula V. , Baraki Parashuram
Published: January 2023

Images and video-based multimedia data are growing rapidly due to communication network technology. During image compression and transmission, images are inevitably corrupted by noise due to the influence of the environment, transmission channels, and other factors, resulting in the damage and degradation of digital images. Numerous real-time applications, such as digital photography, traffic monitoring, obstacle detection, surveillance applications, automated character recognition, etc are affected by this information loss. Therefore, the efficient and safe transmission of data has become a vital study area. In this research, an image compression–encryption system is proposed to achieve security with low bandwidth and image de-noising issues during image transmission. The Chevrolet transformation is proposed to improve image compression quality, reduce storage space, and enhance de- noising. A 3D chaotic logistic map with DNA encoding and Tuna Swarm Optimization is employed for innovative image encryption. This optimization approach may significantly increase the image's encryption speed and transmission security. The proposed system is built using the Xilinx system generator tool on a field-programmable gate array (FPGA). Experimental analysis and experimental findings show the reliability and scalability of the image compression and encryption technique designed. For different images, the security analysis is performed using several metrics and attains 32.33 dB PSNR, 0.98 SSIM, and 7.99721 information entropy. According to the simulation results, the implemented work is more secure and reduces image redundancy more than existing methods.
Assessment of Drinking Water Quality and the Efficiency of the Two Water Treatment Plants in UP, India
Authors: Rasooly Sayed Shujahuddin , Anwer Mohsin
Published: January 2023

This study presents the analysis of the water quality and efficiency of two water treatment plants (370 MLD Palra Reservoir and 310 MLD Conventional Water Treatment Plant). These facilities are catering the water demand of Agra city, having a population of about 2.5 million people. Results have shown that the canal water in Pahansu at Bulandshahr District from the Ganga River has mainly two physical concerns; turbidity and total suspended solids. Other parameters like TDS (Total Dissolved Solids), Hardness, Alkalinity, ORP (Oxidation Reduction Potential) and E.C (Electrical Conductivity) were also measured, but their concentration met the BIS recommended values for mentioned water quality parameters. During the study, it was found that the average TSS concentration at Palra reservoir is 468 mg/l, and the same is removed by about 50% with the help of the sedimentation process. The initial turbidity level is about 10.55 NTU, whereas, after sedimentation, it is 9.12 NTU. After primary treatment, the raw water is conveyed to the 310 MLD Conventional Water Treatment Plant at Sikandara Agra through an under-gravity pipeline traversing 134kms. The Conventional Water Treatment Plant involves Coagulation, Flocculation, Sedimentation, Filtration and Disinfection Processes. Raw water at the inlet has turbidity and TSS around 16.9 NTU and 187 mg/l, respectively. About 50% turbidity removal and 70% TSS removal occur in the clari-flocculator, and the remaining get removed during the rapid sand filtration process, thus, giving final water free from turbidity and TSS. Other parameters of the treated water, like pH, Alkalinity, Hardness, TDS etc., are well within the prescribed limits.
The Possibilities and Precautions of Using the Designation “At-Promise” in Higher Education Research
Authors: Bettencourt Genia , Irwin Lauren , Todorova Ralitsa , Hallett Ronald , Corwin Zoë
Published: January 2023

The term at-promise gained prominence as a strength-based way to refer to students from minoritized backgrounds that contrasted from deficit-laden terms like at-risk. In this scholarly paper, we argue that beyond avoiding an obvious deficit categorization, adoption of the term at-promise has potential to influence scholarship in higher education research by centering the need for systemic change. Building on prior literature on at-promise student terminology and conceptual frameworks of funds of knowledge, community cultural wealth, and validation theory, we suggest that the at-promise phrase offers two important contributions to higher education. First, by emphasizing interconnectivity and shared experiences across systems of power, the at-promise designation can be used to build coalitions amongst minoritized groups and advocate for broader systemic change. Second, the term promise reflects a societal commitment to improving educational access and retention that is integral to the social contract of higher education as a public good. Thus, use of at-promise can center the need for systemic change, but only when done with intentionality to avoid conflation of minoritized groups.
Effect of Fe Addition on Anaerobic Digestion Process in Treating Vinasse: Experimental and Kinetic Studies
Authors: Syaichurrozi Iqbal , Sarto Sarto , Sediawan Wahyudi Budi , Hidayat Muslikhin
Published: January 2023

Vinasse is a continuously resulting waste by a bioethanol industry with a high chemical oxygen demand (COD) concentration and a large volume. Anaerobic digestion (AD) is the best method to treat vinasse because it converts COD to biogas, so the biogas can support the Indonesia's primary energy need. The goal of this study was to study the effect of Fe concentration on the AD process in treating the vinasse. The Fe concentration was varied to 0.06, 0.29, 0.64, 0.99 g/L. The results showed that increasing the Fe concentration from 0.06 to 0.29 g/L intensified the biogas yield by 360% (from 10.8 to 49.6 mL/g COD). However, further increasing the Fe concentration to 0.99 g/L decreased the biogas yield by 37.8% (from 10.8 to 6.7 mL/g COD). The Fe significantly affected the methane formation stage, but not the acid formation stage. A mechanistic model was built and successfully applied to predict the AD process. Based on the simulation results, Fe concentration of 0.29 g/L resulted in the highest values of YVFA/X2 (yield of volatile fatty acids (VFAs) consumption per biomass of X2 ), μm,2 (specific growth rate for X2 ),  fCH4 (composition of methane in biogas) and the lowest values of Ks,VFA (affinity coefficient in VFAs consumption), kd2 (death rate constant for X2 ), kVFA (consumption rate of VFAs for maintenance). The addition of Fe until 0.29 g/L was recommended to increase the quantity and quality (methane content reached 53.4%) of biogas production.
Modelo predictivo para la medición del estado de madurez de Musáceas sp., cultivadas al suroeste del Ecuador, usando algoritmos de Machine Learning
Authors: Martinez-Mora Omar , Capuñay-Uceda Oscar , Caucha-Morales Luis , Ruilova-Cueva María Bernarda
Published: January 2023

El objetivo de la presente investigación fue, definir un modelo predictivo para la medición del estado de madurez de Musáceas sp., cultivadas al suroeste del Ecuador, usando algoritmos de Machine Learning. La metodología utilizada en la presente investigación, se dividió en dos etapas: la primera etapa, consistió en obtener los datos de las características fisicoquímicas, a través de los grados Brix y acidez titulable (AOAC,2009); la segunda etapa, mediante el uso de algoritmos de Machine Learning, se procesaron dos sets de datos, tanto para el entrenamiento, como para el Test. El presente trabajo llegó a la conclusión de que, se puede predecir el estado inmaduro, maduro o sobre maduro del banano, a través de un modelo predictivo, con una exactitud del 91 %.
THE LAO PEOPLE’S DEMOCRATIC REPUBLIC AND SUSTAINABLE DEVELOPMENT GOAL 18:
Authors: Herindrasti Sinta
Published: January 2023

The Sustainable Development Goals is a global agenda of the United Nations to cope with global challenges that is formulated into 17 goals including its indicators. The Lao PDR as part of global society and member of the United Nations commits to implement the SDGs but with one additional conditional goal that is SDG 18 Lives save from UXO (Unexploded Ordnance). SDG 18 as part of response toward local challenge reminds the war’s impact which threatening peoples’ live all at once the urgent need to solve the problem completely for achieving other 17 goals. How is Lao struggling the Goal 18 through various form of cooperations and partnerships become the precious part in the process of documenting the best practices of achieving SDG 18. This article want to explore various initiatives of the Lao government and its implementation with international partners’ support. Target formulation is a positive initial step while the successfulness to fulfill the target is something that must be conducted continously

Key words: Sustainable Development Goals, Lives Save from Unexploded Ordnance (UXO), Partnership, Peace
Total Plasma Exchange for Hypertriglyceridaemia Complicated by Acute Pancreatitis: A Case Report
Authors: Sany Dawlat , Yousry Wael Ahmed , Refai Wael , Hassan Walid , Qattan Rami , Elsahawi Yasser
Published: January 2023

Introduction: Hypertriglyceridaemia (HTG) is common and often precipitates into acute pancreatitis. Early diagnosis of HTG pancreatitis (HTGP) is essential for appropriate management to avoid recurrence of pancreatitis. Plasmapheresis was suggested as treatment modality to decline triglyceride levels, especially in critical patients with multiorgan failure. Few randomised studies are recorded regarding the value of plasmapheresis over classical therapy.

Objective: To evaluate the value of plasmapheresis in patients with HTGP with worrisome signs as fever, tachycardia, high inflammatory markers, and pancreatitis.

Methods: Clinical course and laboratory markers status after total plasma exchange (TPE) for HTG that is not responding to initial, traditional therapy by insulin infusion was reported.

Results: The authors’ patient had an initial triglyceride level of 30 mmol/L, with a worsening clinical condition and acute pancreatitis. After TPE, there was a significant decline in their triglyceride serum levels (53%) after the first session, leading to marvellous recovery.

Conclusion: The authors suggest treatment with TPE for systemic inflammation and HTGP-induced multiorgan failure. However, further research is necessary.
Nationwide Family Studies of Cardiovascular Diseases – Clinical and Genetic Implications of Family History
Authors: Zöller Bengt
Published: January 2023

Studies of family history (FH) have long been used to estimate the heritability of cardiovascular diseases (CVDs). Genome-wide association studies (GWAS) of several CVDs, such as coronary heart disease (CHD), stroke, aortic aneurysm (AA), atrial fibrillation (AF), and venous thromboembolism (VTE), have found several novel gene loci and have revealed new biological mechanisms. However, most of the heritability for common CVDs remains to be discovered. Studies of FH will continue to be the easiest way to measure the inherited and non-genetic component of a CVD, as FH represents the sum of interactions between environmental and genetic factors. Many past FH studies of CVDs were hampered by recall and selection bias, small study sizes, retrospective case-control study designs, and a lack of follow-up data. Large nationwide register-based follow-up studies of FH have become possible in countries such as Sweden, Denmark, and Iceland. For instance, nationwide family studies of CVDs such as CHD, stroke, AA, AF, and VTE have been published. Such nationwide family studies may be very helpful for the planning of genetic studies to identify the missing heritability of CVDs. Moreover, reliable estimates of the familial risks of CVDs may be helpful for clinical risk assessment. In this article, the design, methodology, results, clinical and genetic implications, and pros and cons of nationwide FH studies are reviewed. The focus is on studies based on Swedish healthcare data. New findings from these studies will be summarised, and future opportunities will be presented.
Validation and verification of RANS solvers for TUDa-GLR-OpenStage transonic axial compressor
Authors: He Xiao , Zhu Mingmin , Xia Kailong , Fabian Klausmann , Teng Jinfang , Vahdati Mehdi
Published: January 2023

This paper presents a comprehensive validation and verification study of turbomachinery Reynolds-averaged Navier-Stokes flow solvers on the transonic axial compressor TUDa-GLR-OpenStage. Two commercial solvers namely Ansys CFX and Numeca FineTurbo are adopted to provide the benchmark solutions, which can be used for verification of other RANS solvers in the future. Based on these solvers, five sets of grids, two advection schemes (i.e., central difference and second-order upwind), four turbulence models (i.e., SA, SA-RC, SST and EARSM) and two rotor-stator interface models (i.e., mixing plane and sliding plane) are investigated to quantify their effects on predicting the performance and the flow field of the compressor stage. Results show that the choices of grid density and turbulence model are most sensitive to the prediction, leading to 5% and 7% variation in compressor performance characteristics, respectively. Regarding the choice of grid density, a method to estimate the grid discretization error is demonstrated, which is transferrable to other cases. Regarding the choice of turbulence model, the EARSM model is found overall most accurate among the investigated models, and the limitations and deficiencies of the rest models are discussed in detail based on the analysis of the mean flow fields and the eddy viscosity fields. The grids and the major CFD results presented in this work are open-accessed to the community for further research. The results and discussions presented in this paper provide a useful reference for future practices of RANS simulations for compressors.
Phased-Mission Reliability and Importance Measure Analysis for Linear and Circular UAV Swarms
Authors: Yang Yong , Zhu Yawen , Dui Hongyan
Published: January 2023

The phased-mission reliability of unmanned aerial vehicle (UAV) swarm refers to its capability to successfully complete the missions of each phase under specified conditions for a specified period. In order to study the reliability of phased-mission in UAV swarm, this paper firstly studies the reliability of a single UAV under fault coverage. Then, considering the mission characteristics of UAV swarm, the consecutive k-out-of-n system is studied to model and predict the reliability of UAV swarm phase mission. Some importance measures are introduced to analyze the influence of UAV in different positions on the reliability of the whole system. Finally, numerical examples of linear and circular UAV swarms are given to demonstrate and verify the correctness of the model. The reliability modeling established in this paper can predict the phased-mission reliability of UAV swarm scientifically.
Wheatgrass extract has chondroprotective and anti-inflammatory effects on porcine cartilage
Authors: Cridland Kate , Garland Anna , McCrae Persephone , Pearson Wendy
Published: January 2023

Lameness is a commonly observed disorder in sows and negatively impacts both animal welfare and the profitability of the pig sector. The purpose of this study was to determine anti-inflammatory and/or chondroprotective effects of wheatgrass (WG) on porcine cartilage explants stimulated with lipopolysaccharide (LPS). Explants were aseptically prepared from the intercarpal joints of nine market-weight pigs and placed in culture at 37°C for a total of 120 hours. For the final 96 hours, explants were conditioned with an aqueous extract of WG (0, 5 or 15 μg/mL), and for the final 48 hours explants were stimulated with LPS (0 or 10 µg/mL). Media was removed and replaced every 24 hours. Samples from the final 48 hours were analyzed for biomarkers of cartilage inflammation [prostaglandin E2(PGE2) and nitric oxide (NO)] and cartilage structure [glycosaminoglycan (GAG)], and cartilage explants were stained for an estimate of cell viability. Stimulation of explants with LPS significantly increased media concentrations of PGE2, GAG and NO compared with that from unstimulated explants. LPS stimulation did not significantly affect cell viability. Conditioning of explants with WG (5 μg/mL) significantly reduced LPS-stimulated cartilage release of PGE2, NO, and GAG (5 and 15 μg/mL), without impairing chondrocyte viability. These data provide evidence for a non-cytotoxic chondroprotective and anti-inflammatory effect of WG extract in cartilage and suggest a role of WG in protection against cartilage breakdown, inflammation, and pain associated with osteoarthritis.
Transcriptome profiling of histone writers/erasers enzymes across spermatogenesis, mature sperm and pre-cleavage embryo: Implications in paternal epigenome transitions and inheritance mechanisms
Authors: Barbero Gastón , de Sousa Serro Maximiliano G. , Perez Lujan Camila , Vitullo Alfredo D. , González Candela R. , González Betina
Published: January 2023

Accumulating evidence points out that sperm carry epigenetic instructions to embryo in the form of retained histones marks and RNA cargo that can transmit metabolic and behavioral traits to offspring. However, the mechanisms behind epigenetic inheritance of paternal environment are still poorly understood. Here, we curated male germ cells RNA-seq data and analyzed the expression profile of all known histone lysine writers and erasers enzymes across spermatogenesis, unraveling the developmental windows at which they are upregulated, and the specific activity related to canonical and non-canonical histone marks deposition and removal. We also characterized the epigenetic enzymes signature in the mature sperm RNA cargo, showing most of them positive translation at pre-cleavage zygote, suggesting that paternally-derived enzymes mRNA cooperate with maternal factors to embryo chromatin assembly. Our study shows several histone modifying enzymes not described yet in spermatogenesis and even more, important mechanistic aspects behind transgenerational epigenetics. Epigenetic enzymes not only can respond to environmental stressors, but could function as vectors of epigenetic information and participate in chromatin organization during maternal-to-zygote transition.
H2S-based fluorescent imaging for pathophysiological processes
Authors: Jia Tong-Tong , Zhang Yuanyuan , Hou Ji-Ting , Niu Huawei , Wang Shan
Published: January 2023

Hydrogen sulfide (H2S), as an important endogenous signaling molecule, plays a vital role in many physiological processes. The abnormal behaviors of hydrogen sulfide in organisms may lead to various pathophysiological processes. Monitoring the changes in hydrogen sulfide is helpful for pre-warning and treating these pathophysiological processes. Fluorescence imaging techniques can be used to observe changes in the concentration of analytes in organisms in real-time. Therefore, employing fluorescent probes imaging to investigate the behaviors of hydrogen sulfide in pathophysiological processes is vital. This paper reviews the design strategy and sensing mechanisms of hydrogen sulfide-based fluorescent probes, focusing on imaging applications in various pathophysiological processes, including neurodegenerative diseases, inflammation, apoptosis, oxidative stress, organ injury, and diabetes. This review not only demonstrates the specific value of hydrogen sulfide fluorescent probes in preclinical studies but also illuminates the potential application in clinical diagnostics.
Global knowledge mapping and emerging trends in research between spasmolytic polypeptide-expressing metaplasia and gastric carcinogenesis: A bibliometric analysis from 2002 to 2022
Authors: Liu Lin , Wang Yang , Zhao Yukun , Zhang Wei , Liu Jiong , Wang Fengyun , Wang Ping , Tang Xudong
Published: January 2023

Background

Spasmolytic polypeptide expression metaplasia (SPEM) occurs in the corpus of the stomach and is closely related to inflammations caused by H. pylori infection. Recently, SPEM was suggested as one of the dubious precancerous lesions of gastric cancer (GC). Thus, further research on SPEM cell transdifferentiation and its underlying mechanisms could facilitate the development of new molecular targets improving the therapeutics of GC. Using bibliometrics, we analyzed publications, summarized the research hotspots and provided references for scientific researchers engaged in related research fields.

Methods

We searched the Web of Science Core Collection (WoSCC) for publications related to SPEM-GC from 2002 to 2022. The VOSviewer, SCImago, CiteSpace and R software were used to visualize and analyze the data. Gene targets identified in the keyword list were analyzed for functional enrichment using the KEGG and GO databases.

Results

Of the 292 articles identified in the initial search, we observed a stable trend in SPEM-GC research but rapid growth in the number of citations. The United States was the leader in terms of quality publications and international cooperation among them. The total number of articles published by Chinese scholars was second to the United States. Additionally, despite its low centrality and average citation frequency, China has become one of the world’s most dynamic countries in academics. In terms of productivity, Vanderbilt University was identified as the most productive institution. Further, we also observed that Gastroenterology was the highest co-cited journal, and Goldenring Jr. was the most prolific author with the largest centrality.

Conclusion

SPEM could serve as an initial step in diagnosing gastric precancerous lesions. Current hotspots and frontiers of research include SPEM cell lineage differentiation, interaction with H. pylori, disturbances of the mucosal microenvironment, biomarkers, clinical diagnosis and outcomes of SPEM, as well as the development of proliferative SPEM animal models. However, further research and collaboration are still required. The findings presented in this study can be used as reference for the research status of SPEM-GC and determine new directions for future studies.
Gut-joint axis: Gut dysbiosis can contribute to the onset of rheumatoid arthritis via multiple pathways
Authors: Romero-Figueroa María del Socorro , Ramírez-Durán Ninfa , Montiel-Jarquín Alvaro José , Horta-Baas Gabriel
Published: January 2023

Rheumatoid Arthritis (RA) is an autoimmune disease characterized by loss of immune tolerance and chronic inflammation. It is pathogenesis complex and includes interaction between genetic and environmental factors. Current evidence supports the hypothesis that gut dysbiosis may play the role of environmental triggers of arthritis in animals and humans. Progress in the understanding of the gut microbiome and RA. has been remarkable in the last decade. In vitro and in vivo experiments revealed that gut dysbiosis could shape the immune system and cause persistent immune inflammatory responses. Furthermore, gut dysbiosis could induce alterations in intestinal permeability, which have been found to predate arthritis onset. In contrast, metabolites derived from the intestinal microbiota have an immunomodulatory and anti-inflammatory effect. However, the precise underlying mechanisms by which gut dysbiosis induces the development of arthritis remain elusive. This review aimed to highlight the mechanisms by which gut dysbiosis could contribute to the pathogenesis of RA. The overall data showed that gut dysbiosis could contribute to RA pathogenesis by multiple pathways, including alterations in gut barrier function, molecular mimicry, gut dysbiosis influences the activation and the differentiation of innate and acquired immune cells, cross-talk between gut microbiota-derived metabolites and immune cells, and alterations in the microenvironment. The relative weight of each of these mechanisms in RA pathogenesis remains uncertain. Recent studies showed a substantial role for gut microbiota-derived metabolites pathway, especially butyrate, in the RA pathogenesis.
Efficient detection of African Swine Fever Virus using minimal equipment through a LAMP PCR method
Authors: Bohorquez Jose Alejandro , Lanka Saraswathi , Rosell Rosa , Pérez-Simó Marta , Alberch Mònica , Rodriguez Fernando , Ganges Llilianne , Maddox Carol W.
Published: January 2023

African swine fever virus (ASFV) currently represents the biggest threat to the porcine industry worldwide, with high economic impact and severe animal health and welfare concerns. Outbreaks have occurred in Europe and Asia since ASFV was reintroduced into the continent in 2007 and, in 2021, ASFV was detected in the Caribbean, raising alarm about the reemergence of the virus in the Americas. Given the lack of vaccines against ASFV, control of the virus relies on molecular surveillance, which can be delayed due to the need for sample shipment to specialized laboratories. Isothermal PCR techniques, such as LAMP, have become increasingly attractive as point-of-care diagnostic tools given the minimal material expense, equipment, and training required. The present study aimed to develop a LAMP assay for the detection of ASFV. Four LAMP primer sets were designed, based on a consensus sequence for the ASFV p72 gene, and were tested using a synthetic plasmid containing the cloned ASFV p72 target gene as a positive control. Two primer sets, were selected for further validation, given their very short time for amplification. Both primer sets showed thermal stability, amplifying the ASFV DNA at temperatures between 60-70°C and proved to have an analytical limit of detection as low as one ASFV-plasmid DNA copy/µL, using both fluorometric and colorimetric methods. The selected primers did not yield false positive or cross reactive results with other common swine pathogens, showing high specificity. Testing of DNA-spiked samples showed that LAMP amplification was not affected by the nature of the matrices, including oral fluids, tonsils, blood, or rectal swabs. The primer sets were able to detect the two more prevalent ASFV genotypes in the field. Taken together, the results show that ASFV-LAMP-BG2 and ASFV-LAMP-BG3 would be a useful tool for rapid, highly sensitive on-site diagnostic testing.