bluuebunny/crossref_metadata_2025 huggingface dataset:
Food Recommendation System using One-Stage Algorithm
Authors: Jayalakshmi Ms. P. , Raj Samuel , Subbarayudu  , Kumar Pavan
Published: May 2023

Abstract: There are a number of reasons why it's helpful when people suggest their favourite foods. There has been a rise in the use of automated systems that provide recommendations for various forms of food, including recipes, restaurants, and grocery stores. Scientists have been looking at these sorts of systems for a long time, and their findings show they may help individuals not just identify food they would want to eat, but also fuel themselves more properly. This article summarises the current status of so-called food recommender systems, focusing on both foundational and cutting-edge approaches to the issue, as well as essential specialisations such food recommendation systems for groups of users or systems that encourage healthy eating. Assisting consumers in finding their ideal meal is a crucial function of food recommender systems. Choosing what to eat is a complicated and multi-faceted process that is impacted by many things, including the ingredients, the look of the dish, the user's own preference on food, and many situations, such as what had been eaten at the previous meal. This paper formalises the meal suggestion issue as forecasting user preference on recipes using three essential factors: the user's (and other users') history, the recipe's components, and the recipe's descriptive picture. In order to solve this difficult issue, we design a special neural network. The recommender creates a model of eating habits based on responses to previous surveys. The model is then used to prompt respondents, based on the meals they have previously picked, to submit any linked items they may have forgotten to mention. Model-generated cues were evaluated against those that were manually programmed by dietitians.
A Review on Speech Emotion Classification using Linear Predictive Coding and Neural Networks
Authors: Patil Dr. C M
Published: May 2023

Abstract: Speech is one of the significant method for communicating their thoughts for human beings. Using the intelligence of computing devices to understand human emotions from language has become an interesting area. In the recent years this topic has grabbed so much attention. Speech emotion recognition (SER) has made significant paces with the evolution of hardware and software systems in digital signal processing field. SER is a key feature of human-computer interaction systems that are mostly employed in various fields such as healthcare, automated call centres, and distance learning. SER comprises of the depth study about the signal and also recognizing the appropriate emotions in relation to the pre-determined dataset using the extracted features. The proposed system consists of speech signal, feature extraction module, pre-determined dataset, classifier, and lastly the classified emotions. Initially, the speech signal will be pre-processed which helps to eliminate the unwanted noise signal present in the speech signal. This pre-processed signal will be sent to the feature extraction module for the extraction of different types of features contained in a speech. Lastly, mapping only the required features corresponding to different types of emotionsis done. This mapping is done by using classifiers. In SER, several methods are employed to obtain the different types of emotions present in speech signals. Recently, Deep learning techniques forSER were offered as an alternative to traditional methods
TnP Portal Using Web Development and Machine Learning
Authors: Khalkar Prasad , Muthal Aditya , Khopade Sujit , Ghule Lokesh , Rane Prof. Tushar A.
Published: May 2023

Abstract: In colleges, the training and placement cell is crucial. The creation of a web portal for the training and placement cell is intended to assist in automating the manual tasks of the placement cell, such as gathering candidate information for filling out the application form for any particular company. This application can keep all the student’s data, including personal details and details about their education, abilities, and resume, among other things. Students can log on, see, and apply for any drives they’re interested in. All student-related data that is necessary for them will be available to the college’s TnP cell. Through the use of a classification model based on the data of previously placed students and an appropriate machine learning algorithm, the suggested system seeks to analyze applicant performance and provide the candidate's information regarding which type of company he is the best fit for. The TnP cell of the college may find this application to be a useful tool for managing student information related to the placement process. This tool aims to make the placement application process more organized. Additionally, this system will be able to give a summary of recent and historical placement data, thus the TnP cell and applicants will have a better insight into the same
BIM Data Analysis and Visualization Workflow
Authors: Dahake Prof. Hemant , Hasan Sheikh Shahbaz Hasan Anwarul
Published: May 2023

Abstract: Building Information Modeling (BIM) has emerged as a powerful technology for managing complex construction projects, providing a way to streamline communication, increase collaboration, and improve project outcomes. However, one area where BIM implementation still requires improvement is data analysis. The quality of data provided by BIM software is critical for making informed decisions, optimizing workflows, and improving project outcomes. This research paper comprehensively reviews the latest advancements in BIM data analysis and visualization techniques. The paper discusses the benefits of data analysis in BIM workflows and provides a framework for implementing data analysis techniques. The paper also highlights the latest tools and techniques available for BIM data analysis and visualization and their potential applications in the construction industry. Additionally, the paper presents a case study to illustrate the implementation of BIM data analysis and visualization techniques in a real-world construction project. The findings of this research paper show that data analysis and visualization are essential for successful BIM implementation and for improving project outcomes. The paper concludes with recommendations for future research in this area, highlighting the need for continued exploration of new data analysis and visualization techniques and their applications in the construction industry.
Smart Parking System using MERN Stack
Authors: Banode Ms. Nupur
Published: May 2023

Abstract: The paper presents a novel approach to the problem of parking space management in urban areas. The smart parking registration system developed using the MERN stack offers an intuitive and visually appealing interface for vehicle parking registration, similar to the seat registration system used by BookMyShow. This system aims to simplify the process of parking space booking for vehicle owners and reduce the time and effort required for parking management. The paper provides a comprehensive literature survey on state-of-the-art research papers in the field of smart parking booking, which highlights the significance of the system and its potential impact on parking space management. The methodology used in the development of the system, which includes the implementation of a seat map using React, integration with a backend API built using Node.js and Express, and data storage in MongoDB, is explained in detail. This approach enables the system to handle a large number of parking bookings and provides a scalable solution that can be easily extended to cater to the needs of different cities and parking spaces. Overall, the smart parking registration system developed in this paper offers a user-friendly and efficient solution to the problem of parking space management in urban areas. The system's intuitive interface and efficient booking process can potentially help reduce the time and effort required for parking management, enhance user experience, and ultimately contribute to reducing traffic congestion in urban areas.
Comparative Study of the Performance of the Diagrid System with and without Shear Wall
Authors: Kapre Darpan , Gore Dr. N. G.
Published: May 2023

Abstract: Due to increasing population with every passing year and the land available for use of habitation is the same as it was a decade ago. So, the only solution to the problem is vertical growth. Now this need for the increase in the vertical height of the buildings has made the buildings tall and slender. The Parameters discussed in this study include Storey Displacement, Storey Drift, Base shear, Storey shear and Time period for static and dynamic behaviour of different lateral load resisting configurations. Based on this parametric study, logical and meaningful conclusion is made for future study considering the safety and economy of the buildings.
Credit Card Fraud Detection Using Machine Learning and Blockchain
Authors: Patil Mr. Soham
Published: May 2023

Abstract: This paper proposes a secure fraud detection model that combines machine learning algorithms and blockchain technology. According to the study it notes that while blockchain is considered a secure method of integration into finance, fraud and anomalies are still common in the network. To address this, the we use two machine learning algorithms, XGboost and KMeans classifier, to classify transactions based on patterns of fraudulent and legitimate transactions .The transaction data is also classified by supervised machine learning algorithms like Random forests and Decision Tree Classifier . The proposed model integrates these algorithms with blockchain technology to detect fraudulent transactions in the Etherium network . The paper includes a security analysis of the proposed smart contract and an attacker model to protect the system from potential attacks and vulnerabilities. The precision and AUC of the models are also calculated to measure the accuracy of the system. Overall, the paper proposes an innovative approach to addressing fraud and anomalies in the network using machine learning and blockchain technology. The integration of these technologies has the potential to improve the security of online transactions and e-banking systems.
Skill Verification System using Blockchain: SkillVio
Authors: Wamane Yash , Barmukh Chaitrali , Nitanavare Pradnya , Bhoite Prasad , Hangargi Prof. K. S
Published: May 2023

Abstract: In today's dynamic work environment, where skills and competencies are the key drivers of success, it is crucial to have an effective skill verification system. Traditional methods of verifying skills and competencies can be time-consuming, cumbersome, and often lack transparency. A blockchain-based skill verification system can provide a secure, transparent, and decentralized platform to record and verify an employee's skills, experience, learning goal progress, and competency level. In this paper, we present a detailed analysis of the benefits of using blockchain technology for skill verification, the challenges associated with implementing such a system, and the potential future scope of this project.
Analysis of the Effect of the Gini Ratio, Percentage of Poor Population, GRDP, HDI, and Average Per Capita Expenditures on Development Inclusivity Index in Java Island
Authors: Muftiyatul Azizah
Published: May 2023

This study aimed to analyze whether the Gini ratio, the percentage of poor people, Gross Regional Domestic Product (GDP), Human Development Index (IPM), and average per capita expenditure affect the inclusiveness index of development in Java Island. The method used is panel data regression, namely choosing the best model between the fixed effect model, random effect model, and common effect model and using the classic assumption test. This research is quantitative. The data used in this study are data obtained from BPS and Bappenas from 2014 to 2020. The results show that the factor that has a significant effect on the development inclusiveness index is the Gini ratio with a significance value of 0.0225, the percentage of poor people with a significance value of 0.0015, and Gross Regional Domestic Product (GRDP) with a significance value of 0.0174. Meanwhile, the Human Development Index (IPM) and per capita expenditure have no significant effect on the development inclusiveness index in Java.
The Impact of a Cashless Payment System on Inflation
Authors: Muslikhati Muslikhati , Aprilianto Fitrian
Published: May 2023

The rise of transactions without using money or what is commonly referred to as cashless transactions. Cashless transactions have several advantages, namely, functional, effortless, and quick. In addition, cashless transactions get an impact on monetary policy in Indonesia. The convenience obtained when conducting cashless transactions results in the acceleration of the velocity of money. Although the number of cash transactions in the community has decreased, the rate of money creates a high intensity with the use of cashless transactions. If the power of money circulation is high, it is feared that it will cause inflationary effects. This study aims to determine the impact of the cashless payment system on inflation. A quantitative approach was used in this study with secondary data which in the source obtained through documentation techniques obtained from Bank Indonesia (BI) and the Central Statistics Agency (BPS).  from January 2009 until December 2020. The analysis technique uses multiple linear regression analysis. The results showed that the electronic-money variables had a significant negative effect, the debit card variables had a significant positive impact, the credit card variables had an insignificant negative effect, and the interest rate variables had a significant positive impact.
Regency Clusterization Based on Village Characteristics to Increase the Human Development Index (IPM) in Papua Province
Authors: Rais  , Dalimunthe Amir Abduljabbar , Fitrianto Anwar , Sartono Bagus , Oktarina Sachnaz Desta
Published: May 2023

Inequality in the Human Development Index (IPM) in Papua Province amid the disbursement of development funds needs to be studied adequately so that the policies and programs that have been planned can be more directed and on target. For this reason, research is needed that can map the priority needs of each district in Papua Province by identifying regional characteristics, namely villages. By using Cluster Analysis and Factor Analysis, the results of this research show that 4 district clusters in Papua Province were formed with different priority focuses on increasing the HDI. The main focus of the district HDI improvement priorities in Papua Province is divided into three through factor analysis: the infrastructure-telecommunication factor, the sanitation-economic factor, and the health-education factor. Each cluster is generally still dominated by districts with a low HDI category. The main obstacle to increasing HDI in Papua Province is the transportation and telecommunications infrastructure factor. Local governments are expected to be able to formulate human development programs and policies concerning the priority needs of each district as a result of this research.
PENGARUH NILAI TUKAR, JUMLAH UANG BEREDAR, SUKU BUNGA TERHADAP INDEKS HARGA SAHAM SYARIAH SELAMA COVID-19
Authors: Wijaya Yusuf , Hariyani Happy Febrina
Published: May 2023

The capital market has an important role in the economy in a country where the capital market also functions as funding for a company or business which is a means for the public to invest. This study aims to determine the effect of the exchange rate, money supply, interest rate on the Islamic stock price index during covid-19. The type of data used in this research is secondary data in the form of time series over a period of three years and eight months and sourced from Bank Indonesia, the Central Statistics Agency, and the Financial Services Authority which is take in monthly form. The analytical method used in this study uses multiple linier regression analysis. The results of this study are the exchange rate has a significant negative effect on the sharia stock price index, the money supply has a positive effect on the sharia stock price index, and interest rates have a positive effect on the sharia stock index.
ANALISIS EFFICIENCY PERBANKAN DI NEGARA ASEAN TAHUN 2006 – 2020
Authors: Sugiarto Mohammad Abdurrahman Alkhadaqi
Published: May 2023

This study aims to find out the efficiency of banking in asean countries as measured in indicators: Bank Indonesia the central bank/bi decided to raise its benchmark interest rate by 25 basis points to 8.25 percent in the second quarter of 2008 to 8.25 percent in the second quarter of this year. The data used in this study took from the world bank website as well as the financial services authority with a sample of nine Banks in asean state. The method of analysis used in this study uses multiple regression analysis. The results on this study are CAR significant positive effects on ROA, LDR has significant positive effects on roa, BOPO has significant negative effects on ROA, PE has insignificant positive effects on ROA, INF has significant positive effects on ROA.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PEMBIAYAAN MUSYARAKAH PADA BANK UMUM SYARIAH TAHUN 2017-2021
Authors: Jannah Taniantari Nur , Primitasari Novi
Published: May 2023

This research was conducted to discover how influential Supreme Audit Institution (SAI), and Non Performing Financing (NPF) to profit sharing based Musyarakah Financing which collected from quarterly financial report Bank Umum Syariah. The researcher expects to make this research beneficial for the development of the Financial and Banking industry. The data used in this research is a secondary data which is an quarterly financial report Bank Umum Syariah published by Otoritas Jasa Keuangan from 2017-2021 Bank Umum Syariah population. This research uses Multiple Linear Regression analysis technique. After the researcher conducting the research, it found out that, SAI, NPF, also ROA doesn’t significant to the Musyarakah financing.
Institutional Changes in the Russian Empire During the Reign of Alexander II and Their Impact on Economic Processes
Authors: Alekseenko Danil A. , Ivanov Alexei V. , Korenkov Ilya O.
Published: May 2023

The object of this study is the “Great Reforms”, which led to institutional changes in Russia during the reign of Alexander II. A problematic question is posed: how did replacing the obsolete institutions of the Russian Empire with new ones under Alexander II affect the economy? Because of the persisting dichotomy with regard to the results of Alexander II’s reforms, a hypothesis is put forward: in addition to the impact of the new institutions introduced during the period of the “Great Reforms”, the efforts of the transformations were not aimed at the complete elimination of outdated institutions. To test the hypothesis, the main objective of the study is formulated: to reflect the institutional changes in Russia during the reign of Alexander II and their impact on the economy. The theoretical framework of the study includes a number of concepts of domestic and foreign scholars: Douglas North’s concept of institutions, which is exemplified by his works “Institutions, Institutional Change and Economic Functioning” [1], “Institutions, Institutional Change and Economic Performance” [2] and “Institutions and Economic Growth: Historical Introduction” [2]; Sergey Yu. Glazyev’s theory of long-term technical and economic development, reflected in the article “Modern Theory of Long Waves in Economic Development” [3] and the book “Russia in the New Technological and World Economic Patterns” [4]. This selection is due to the fact that the provisions of institutionalism and the concept of technological modes give the most complete answer to the problem question of the research. The work used the following set of methods: general scientific methods, such as logical analysis, synthesis, comparison, systematization of the available scientific literature on the topic of research; specific scientific theoretical methods: literature analysis on the selected historical period (the reforms of Alexander II), collection of statistical data (primarily economic indicators), analysis of the transformations in various spheres of social life and their results conducted in the specified historical period. The result of the study was the reflection of institutional changes in the economy of the Russian Empire and the country’s transition to a “new technological mode”.
Risk Assessment of Petrol Filling Stations in a Metropolitical City of Kaduna State, Nigeria
Authors: Kuburi Laminu S. , Umar Umar , Oyedeji Ayodeji Nathaniel
Published: May 2023

With both their high-risk and high-profit nature, Petroleum filling stations have become a significant subject in risk estimation and assessment studies. Some of the risks associated with this organization include compliance with laid-down standards by monitoring bodies. This study aims to carry out a risk assessment of petroleum filling stations in Kaduna Metropolis, Nigeria. This involved assessing the level of compliance to laid-down standards on environmental conditions and equipment and assessing the awareness of attendants in these petroleum filling stations to the possible risks in their working environment. The design methodology employed for this study was the use of self-administered questionnaires. The study result showed that the respondents were of the perspective that they are exposed to hazards in the petrol filling station. However, risks such as sleeping disorders, memory loss, cancer, etc., due to long-term exposure to hazardous petroleum substances seem to have lots of uncertainty from the attendants.
Identification of operational risk of embedded Subscriber Identity Module (SIM) technology based on ISO 31000: Systematic Literature Review
Authors: Pertiwi Dian Elok , Kusumah Lien Herliani
Published: May 2023

In the current digital era, telecommunications industry technology is growing rapidly, impacting the demands for innovation in the telecommunications operator business. One of them is the change in the size of the Subscriber Identity Module (SIM) card model, which is getting smaller, and the use of embedded SIM (eSIM) technology on smartphones. This study aims to identify operational risk factors from the change in SIM card technology to eSIM. The research method used is the Systematic Literature Review (SLR) method. This study documents and reviews scientific journal papers from scientific databases published from 2015 to 2022 on risk management in the information technology field, following this research's objectives. The results obtained from this study showed that there were 43 journals studied, of which four had the theme of technology-embedded subscriber identity module (eSIM), and 13 discussed risk operations technology
The influence of heat rate and austenitization temperature on microstructure and hardness of Hadfield steel
Authors: Wahyudi Haris , Pratiwi Swandya Eka , Supriyanto Adolf Asih , Aji Daisman Purnomo Bayyu
Published: May 2023

The As-Cast condition of Hadfield alloy usually contains (Fe, Mn)3C carbides around the austenitic grains, which promote brittleness, making the steel impractical in industry. Heat treatment is normally applied to reduce carbide content, lower carbides, and improve toughness. However, a complete austenitic structure is not attainable during solution treatment. The dissolution temperature and dissolution time are critical to obtaining complete carbide content. Furthermore, heating must be done slowly, and the quenching speed must be fast enough. This study examines the effect of heat rate and austenitization temperatures in the solution treatment on the microstructure and hardness of Hadfield steel. The heat rate of 3, 6 and 10 oC/min is selected to determine whether there is a change in the microstructure of Hadfield steel. The four austenitization temperatures of 1000, 1100, 1150 and 1200 oC are used to ascertain carbide dissolution into the austenite matrix. Grain boundary, hardness, and phase transformation will confirm the microstructural change and hardness properties. The optical microscope shows carbide content is reduced as the austenitization temperature increases. The consequence of carbide dissolution affects the hardness. Its hardness decreases as temperature increase due to the loss of carbide. The as-Cast specimen has the highest hardness of 227.8 HV30, and the lowest hardness is 176.7 HV30 belongs to a specimen that is heated up to 1200 °C and quenched into water. Grain size is measured by the line intercept method, which shows its increase as temperatures increase. The result of grain measurement is as follows: As-Cast 224.6 mm, T 1000 °C 323.3 mm, T1100 °C 409.2 mm, T1150 °C 1014.4 mm, T1200 °C 881.6 mm. SEM-EDS confirms that the main phase is austenite, and a small amount of carbide is detected in the austenite matrix.
Association Between Antidiabetic Pattern with Medication Adherence in Type 2 Diabetes Patients at Buleleng Hospital
Authors: Ratnasari Pande Made Desy , Ardeliani I Gusti Ayu Indira , Yuliawati Agustina Nila , Kurnianta Putu Dian Marani
Published: May 2023

Background: Type 2 diabetes mellitus (DM) is a chronic disease which requires long-term therapy. Medication adherence plays an important role for therapeutic success in patients with T2DM. Antidiabetic usage pattern might involve with some problems related to medication adherence. Objectives: The aim of this study was to analyze the association between antidiabetic usage pattern with medication adherence. Material and Methods: This observational study was conducted cross-sectionally involving 90 participants of T2DM  outpatient at Private Hospital in Buleleng Bali during July-September 2020. Patients were included if aged ≥18 years, received the same antidiabetic for three months before the study, signed informed consent, and provided with complete medical record data. Patients were excluded if appeared to be unwell, pregnant or breastfeeding. Demographic data and antidiabetic usage patterns were collected retrospectively based on the patient's medical records. Probabilistic Medication Adherence Scale (ProMAS) questionnaire was used to assess medication adherence. Data were analyzed with Kruskal-Wallis test. Results: The results showed that 55.6% patients were male, aged 46-65 years (61.1%), education predominantly by elementary school (37.8%), had suffered from DM for 5-10 years (46.7%), with comorbidities (50%), and without complications (77.8%). The antidiabetic usage pattern was dominated by a combination of two antidiabetics (53.3%). Most patients (42.2%) showed moderate-high medication adherence. There was no statistically significant association between antidiabetic usage pattern and medication adherence (p=0.275). Conclusions: A higher rate of medication adherence was found in patients taking combination of two antidiabetics compared to combination of three or four antidiabetics.
Optimization of Sunscreen Cream Formulation Containing Ethanolic Extract of Avocado Leaves (Persea americana Mill.) or Mangosteen Rind (Garcinia mangostana L.) Combined with Octyl Methoxycinnamate
Authors: Verda Vanessia , Leonardo William , Prismawan Deka , Notario Dion
Published: May 2023

Background: Most sunscreens contain chemicals that can cause health and environmental problems. Natural actives can be an alternative to minimize the use of chemicals. Avocado leaves (Persea americana Mill.) and mangosteen peel (Garcinia mangostana L.) contain active compounds that have UV absorption. Objective: In this study, the optimal composition of a mixture of ethanol extracts of avocado leaves or mangosteen peel with octyl methoxycinnamate (OMC) was determined based on the Sun Protection Factor (SPF) and adhesive properties using Response Surface Methodology (RSM). Material and method: The optimal formula calculated with RSM was then made and underwent a series of tests, including a hedonic test with a scale of 0-9 on 30 respondents, a freeze-thaw stability test, and an accelerated stability test with the Arrhenius equation. Results: The RSM analysis showed that the optimal concentration of extract and OMC was 10% and 0.75% (avocado leaves) & 0.65% (mangosteen peel). The optimized formula resulted in adhesive properties and SPF of 7.41±0.03 and 16.52±0.16 (avocado leaves) & 7.43±0.04 and 15.84±0.15 (mangosteen peel) respectively. Both optimized formulations were physically stable against freeze-thaw and had a t90 of 29 minutes (avocado leaves) and 17 minutes (mangosteen peel). The average hedonic scale obtained was 7.8 (avocado leaves) and 7.9 (mangosteen peel), indicating that both optimized formulations were preferred by the respondents. Conclusions: The sunscreen formulation with an optimized combination of active ingredients from avocado leaf extract or mangosteen peel extract with OMC using RSM results in preparation with SPF value and physical properties that meet the requirements.
Effects of Combination of Cisplatin and Paclitaxel Chemotherapy on Tumor Mass in Nasopharyngeal Carcinoma Patients at Dr. Wahidin Sudirohusodo Hospital Makassar with the RECIST Method
Authors: Hakim Azima , Wahyudin Elly , Pieter Nova Audrey Luetta
Published: May 2023

Background: Nasopharyngeal Carcinoma (NPC) is a malignant tumor that grows from epithelial cells that line the surface of the nasopharynx and has a tumor position close to the base of the skull, vital structures, and anatomical locations that are difficult to reach and various symptoms are the cause of increased patient mortality and morbidity rates. This research aims to identify the most effective chemotherapy effect on reducing tumor mass in nasopharyngeal cancer patients. Material and Methods: This study was conducted retrospectively based on patient medical record data from January 2019 to December 2021 at Dr. Wahidin Sudirohusodo General Hospital. Inclusion criteria included NPC patients who received cisplatin, carboplatin, paclitaxel, and docetaxel chemotherapy and had complete data on tumor mass size before and after receiving chemotherapy from Series I to Series VI. The resulting assessment of tumor mass size was further categorized using RECIST. Results: A total of 166 NPC patients met the inclusion criteria. The results of the study obtained that NPC patients suffered more in men than women, most NPC patients were aged (41-50), Stage IVA had the highest percentage found in NPC patients, Histopathology based on WHO type III was most commonly found in 109 patients, 70 patients used the Cisplatin+Paclitaxel chemotherapy regimen, 55 patients used the Cisplatin+Paclitaxel chemotherapy regimen had a partial tumor mass response. Conclusions: The combination of Cisplatin + Paclitaxel has the most partial response to the tumor mass of NPC patients at Wahidin Sudirohusodo General Hospital, Makassar.
“TO JOKE ABOUT GOD”: ANECDOTES OF HAJI HASAN MUSTAPA
Authors: Rohmana Jajang A , Zuldin Muhamad
Published: May 2023

Humor is one of the characteristics of the Sundanese people in West Java. This is not only seen in their conversations about everyday matters but also about serious and sacred issues. They sometimes faced these sacred issues by remaining relaxed and laughing. This, for instance, can be seen in the figure of Haji Hasan Mustapa, a Great Penghulu of Kutaraja and Bandung during the Dutch colonial period. This study focuses on the 209 Sundanese anecdotes of Mustapa that his secretary, M. Wangsaatmaja, collected in Boekoe Singa-Bandoeng (1930) and Boekoe Dongeng djeung Tajarita Sadjarah(1932), as well as those collected by Mustapa's admirer, Ajip Rosidi, in Haji Hasan Mustapa's Jeung Karya-karyana(1989). By using the Adjidarma’s humor theory, which mentions three categories of humor: superiority, incongruity, and extrication, the results show that the incongruous humor category predominates in Mustapa's anecdotes. This can be seen in his incongruous expressions about the nature of God that are out of the ordinary. He did not show his superiority as a respected Dutch official, nor did he extricate himself from various tensions and obstacles. This generally relates to the low level of religious knowledge of his interlocutors. Mustapa’s answers were considered weird and out of the ordinary to them. Therefore, it is understandable that among the Sundanese, Mustapa is known as an eccentric ulama.
Investigation of transient hypogammaglobulinemia of infancy in the etiology of chronic cough in children under five years old
Authors: Pekcan Sevgi , ALPTEKİN MEHMET , Unal Gokcen , Yılmaz Aslı İmran , Çağlar Hanife Tuğçe , Ercan Fatih , Keleş Sevgi , Reisli İsmail
Published: May 2023

Chronic cough is one of the most common complaints of childhood to
consult a doctor. There are many causes such as respiratory tract
infections, gastroesophageal reflux, persistent bacterial bronchitis,
asthma, cystic fibrosis, congenital malformations, and foreign body
aspiration in children under the age of five. However, neither transient
hypogammaglobulinemia of infancy (THI) among the causes of chronic
cough, nor chronic cough among the application complaints of THI are not
questioned. In this study, we aimed to draw attention to the role of THI
in the etiology of chronic cough under the age of five. Our study
included 55 pediatric patients under the age of five who applied to the
pediatric pulmonary diseases outpatient clinic in between January 2015
and December 2020 with the complaint of chronic cough, who were excluded
from other causes of chronic cough in etiology, and who met the criteria
for THI according to the European Society for Immunodeficiencies (ESID).
Demographic, clinical and laboratory characteristics and follow-ups of
these patients were reviewed retrospectively. In our study, the mean age
of 55 patients at admission was 21.73 ± 11.50 months (median age: 18
months), and the mean age of IgG recovery was 38.65 ± 16.81 months. The
mean recovery time was 16.93 ± 12.85 months. Of the patients, 22.4% had
a history of consanguinity, 23.4% had prematurity, and 18.2% had a
frequent sickness in siblings. The most common complaint accompanying
chronic cough in patients was frequent respiratory tract infection,
16.3%. Along with IgG, 26.4% of the patients had low IgA and 31.5%
had low IgM in laboratory testing. In antibody responses,
isohemagglutinin, anti-tetanus, anti-pneumococcal, anti-HBs vaccine
responses were found to be positive in 90.6%, 63.9%, 66.7% and 97.7%
of the cases, respectively. 72.7% of the patients received inhaler
treatment, 45.5% received antibiotic prophylaxis, and 2.2% received
intravenous immunoglobulin (IVIg) treatment. After the IgG value of the
patients returned to normal, it was observed that 86.3% of the
patients’ cough complaint have disappeared. Transient
hypogammaglobulinemia of infancy mostly presents with recurrent lower
and upper respiratory tract infections. The most common complaint is
cough. It is not questioned whether the cough is chronic or not. In this
study, we aimed to investigate the follow-up and prognosis of patients
under the age of five who had a chronic cough complaint, when other
causes of cough were ruled out and THI was detected. In the study, when
the IgG levels of the patients return to normal, the cough complaints
disappear to a large extent, showing that THI may also be among the
causes of chronic cough.
Fluorescent reverse transcription recombinase-aided amplification assay for sensitive and rapid detection of six respiratory viruses
Authors: Guo Xudong , Gao Dongli , Song Minghui , Yang Yi , Sun Dan , Liu Wanying , Shi Hua , Zhao Rongtao , Song Hongbin
Published: May 2023

Background: Rapid detection of pathogens is important for the timely
control of outbreaks, especially for respiratory infectious diseases
that are prone to spread and outbreaks. Methods: In this work, we
developed a sensitive reverse transcription recombinase-aided
amplification (RT-RAA) assay for the rapid detection of six common
respiratory viruses including respiratory syncytial virus type A (RSVA),
influenza A virus (Flu A), influenza B virus (Flu B), human
parainfluenza virus (HPIV), SARS-CoV-2 and adenovirus (ADV). The nucleic
acid standards and pharyngeal swab samples were used to test the
sensitivity, specificity, reliability of the established RAA assay.
Results: The assay could be completed within 20 minutes at 39℃ using a
portable built-in power device. The detection limits for the six viruses
were all less than 1000 copies/mL and reached 10 copies/mL for ADV.
Excellent specificity was demonstrated by cross-testing with 21
different pathogen nucleic acids. The results of RT-RAA and RT-PCR were
consistent in 85 laboratory-conserved pharyngeal swab samples, but
RT-RAA was more time-saving and portable. Meanwhile, the RT-RAA assay
using the same test procedure for six viruses could allow operators the
flexibility to select the number of samples and pathogens to be detected
in one test. Conclusions: This portable, sensitive and reliable RT-RAA
assay for rapid detection of multiple respiratory viruses could be
applied to health resource-poor areas and outbreak sites.
Advances in the study of the role of extraoral bitter taste receptors
Authors: Yu Xiaohui , Zhen Yanli , Fang Ting , Zhang Jian , Xu Yuyi , Wu Fangling , Cao Jinxue , Liu Yaming , Li Ji , Wang Dongkai
Published: May 2023

Taste is one of the basic senses of living organisms and can recognize
sour, bitter, salty, sweet and umami tastes. Bitter taste receptor is a
class of G protein-coupled receptors capable of sensing bitterness.
Initially, bitter taste receptor was thought to be only found in the
taste buds of the tongue, palate and throat. Recent research has shown
that in addition to the oral cavity, the bitter taste receptor is also
present in the intestinal tract, respiratory tract, urinary tract,
vascular smooth muscle, nervous system, thyroid gland and other tissues
and organs to regulate body homeostasis and resist disorders . In this
review, we focus on the effects of the bitter taste receptor outside the
oral cavity to lay the groundwork for future research.
Don't be scared of the genome's 5th base -- Explaining phenotypic variability and evolutionary dynamics through DNA methylation analysis
Authors: Tost Joerg
Published: May 2023

Epigenetic processes have taken center stage for the investigation of
many biological processes and epigenetic modifications have shown to
influence phenotype, morphology and behavioral traits such as stress
resistance by affecting gene regulation and expression without altering
the underlying genomic sequence. The multiple molecular layers of
epigenetics synergistically construct the cell type-specific gene
regulatory networks. DNA methylation occurring on the 5’ carbon of
cytosines in different genomic sequence contexts is the most studied
epigenetic modification. DNA methylation has been shown to provide a
molecular record of a large variety of environmental factors, which
might be persistent through the entire lifetime of an organisms and even
be passed onto the offspring. Animals might display altered phenotypes
mediated by epigenetic modifications depending on the developmental
stage or the environmental conditions as well as during evolution.
Therefore, the analysis of DNA methylation patterns might allow
deciphering previous exposures, explaining ecologically relevant
phenotypic diversity and predicting evolutionary trajectories enabling
accelerated adaption to changing environmental conditions. Despite the
explanatory potential of DNA methylation. studies of DNA methylation are
still scarce in the field of ecology. This might be at least partly due
to the complexity of DNA methylation analysis and the interpretation of
the acquired data. In the current issue of Molecular Ecology Resources,
Laine and colleagues (2023) provide a detailed summary of guidelines and
valuable recommendations for researchers in the field of ecology to
avoid common pitfalls and perform interpretable genome-wide DNA
methylation analyses.
Changes in Intraoperative Anaesthetic Parameters During Laparoscopy with Low Pressure vs Standard Insufflation : A retrospective cohort study
Authors: Selek Sebnem , Tahmasebi Farshad , Alazizi Maher , Krovvidi Hari , Ismail Mohamad , Afifi Khaled , Morsi Hassan
Published: May 2023

Objective To evaluate the changes in intraoperative anaesthetic
parameters during Low-Pressure laparoscopy with AirSeal® versus standard
insufflation laparoscopy in gynaecological surgeries. Materials and
Methods 77 patients who had laparoscopic hysterectomy for gynaecological
causes were retrospectively identified. Patient demographics, procedure
details, the data on intraoperative anaesthetic parameters and duration
of recovery from GA after the procedure were collected from patients’
electronic and paper notes. No ethical approval was required for this
project and the study was registered as a quality improvement project.
Results 41 patients were operated with 7mmHg AirSeal® system and 36 with
15mmHg standard insufflation. Duration of recovery time from GA was
significantly lower in the AirSeal® group. Statistically significant
differences were also found in the mid-procedure end tidal CO2 levels
and peak airway pressure at the end of the procedure. Conclusion In
conclusion, our results show that there is no statistically significant
difference in anaesthetic parameters between the low-pressure group and
standard insufflation group except EtCO2 levels mid-procedure, and that
the recovery time after general anaesthesia is significantly lower in
the low pressure group.
An EEG Signals based Brain-Computer Interface for Silent Speech Recognition: Literature Review
Authors: C Sudalaimani , S Kausalya , PS Subodh , PJ Binu , SS Deepu , SA Asha , MR Dhanya , v Anusree , Sinha Rashmi , Jain Naveen Kumar , Jain Priyanka , Iype Thomas , Panicker Praveen , S Reshma R , K Athira B , Archana * , P Devanand
Published: May 2023

Electroencephalogram (EEG) based Brain-computer interface (BCI) is a
viable technology. It can enable people with temporal voice impairment
to communicate to the world directly from their brain. The electrical
signals generated by the human brain during sub-vocalized speech are
captured, analyzed, and interpreted as speech using BCI. This review
offers an introduction and overview of different modalities in EEG-based
BCI applications for silent speech, imagined speech, and inner speech
recognition. It briefly presents various techniques and methods from
pre-processing techniques to feature classification involved in the
development of EEG-based BCI applications for silent speech recognition.
Does Notice 2014-21 Need an Update? An Analysis of Potential Tax Classifications for Cryptocurrency
Authors: Davenport Stephan A. , Usrey Spencer C.
Published: May 2023

The IRS issued Notice 2014-21 in which they classify cryptocurrency as property. However, the variety and usage of cryptocurrency has increased since Notice 2014-21 so that cryptocurrency has become a significant and widely accepted component of the global financial system. Cryptocurrency includes a diverse group of digital assets with different origins and uses. One type of cryptocurrency, Bitcoin, has been adopted as legal tender in two countries. Yet the IRS guidance for reporting cryptocurrency has not changed. In this paper, we examine the current regulatory framework regarding cryptocurrency. Next, we discuss alternative tax treatments for cryptocurrency and the tax effects of those potential treatments. Finally, we make policy recommendations for the tax treatment of cryptocurrency.
At-Home Use of a Pregnancy-Specific Zone-MPC Closed-Loop System for Pregnancies Complicated by Type 1 Diabetes: A Single-Arm, Observational Multicenter Study
Authors: Levy Carol J. , Kudva Yogish C. , Ozaslan Basak , Castorino Kristin , O’Malley Grenye , Kaur Ravinder Jeet , Levister Camilla M. , Church Mei Mei , Desjardins Donna , McCrady-Spitzer Shelly , Ogyaadu Selassie , Trinidad Mari Charisse , Reid Corey , Rizvi Shafaq , Deshpande Sunil , Zaniletti Isabella , Kremers Walter K. , Pinsker Jordan E. , Doyle Francis J. , Dassau Eyal ,   LOIS-P Diabetes and Pregnancy Consortium
Published: May 2023

OBJECTIVE

There are no commercially available hybrid closed-loop insulin delivery systems customized to achieve pregnancy-specific glucose targets in the U.S. This study aimed to evaluate the feasibility and performance of at-home use of a zone model predictive controller–based closed-loop insulin delivery system customized for pregnancies complicated by type 1 diabetes (CLC-P).

RESEARCH DESIGN AND METHODS

Pregnant women with type 1 diabetes using insulin pumps were enrolled in the second or early third trimester. After study sensor wear collecting run-in data on personal pump therapy and 2 days of supervised training, participants used CLC-P targeting 80–110 mg/dL during the day and 80–100 mg/dL overnight running on an unlocked smartphone at home. Meals and activities were unrestricted throughout the trial. The primary outcome was the continuous glucose monitoring percentage of time in the target range 63–140 mg/dL versus run-in.

RESULTS

Ten participants (HbA1c 5.8 ± 0.6%) used the system from mean gestational age of 23.7 ± 3.5 weeks. Mean percentage time in range increased 14.1 percentage points, equivalent to 3.4 h per day, compared with run-in (run-in 64.5 ± 16.3% versus CLC-P 78.6 ± 9.2%; P = 0.002). During CLC-P use, there was significant decrease in both time over 140 mg/dL (P = 0.033) and the hypoglycemic ranges of less than 63 mg/dL and 54 mg/dL (P = 0.037 for both). Nine participants exceeded consensus goals of above 70% time in range during CLC-P use.

CONCLUSIONS

The results show that the extended use of CLC-P at home until delivery is feasible. Larger, randomized studies are needed to further evaluate system efficacy and pregnancy outcomes.
Implementasi Model Pembelajaran Problem Based Learning untuk Meningkatkan Hasil Belajar PJOK Materi Penyakit Menular Covid 19
Authors: Primaraga Ibrahim Rinto , Made Satyawan  , Gede Suwiwa
Published: May 2023

The purpose of this research is to improve learning outcomes of PJOK on Covid-19 infectious disease material in class VII A of SMPN 1 Rogojampi through the implementation of the problem-based learning model. This type of CAR research (Classroom Action Research) with the teacher as a researcher, is carried out in two cycles consisting of planning, action, observation and reflection stages. The research subjects were students of class VII A of SMPN 1 Rogojampi totaling 33 students, consisting of 15 male students and 18 female students. Methods of data collection is done by using observation and test methods. Observation is used to determine the activeness of students in participating in learning and the test or assessment method used to retrieve data on PJOK learning outcomes after the implementation of learning problem base learning in the form of scores (scores). The results of the implementation of cycles I and II, data analysis and processing as well as indicators of success that have been carried out, show that the average student learning outcomes classically there is an increase in this classroom action research, namely 71.8 in the first cycle and 80.9 in the second cycle. Meanwhile, classical student learning completeness who scored above 75 reached 72.7% in the first cycle and 84.8% in the second cycle. In conclusion, the average student learning outcomes classically and classical student learning completeness increased after the implementation of the problem base learning model was applied to class VII A SMPN 1 Rogojampi students.