bluuebunny/crossref_metadata_2025 huggingface dataset:
A CRITICAL REVIEW OF INCOMPATIBLE FOOD AND ITS AYURVEDIC ASPECT
Authors: Yadav Bhupendra , Kapoor Ritu , Adlakha Manoj
Published: September 2023

The traditional Indian medical system Ayurveda discussed several ideas about health management. Regarding
this, Ayurveda identified Ahara as one of the Upasthambas among the three Sthambas that support maintaining
the body's normal state of health. If not taken in properly, the food not only has numerous positive benefits but
also many negative ones. Unhealthy Ahara, also known as Viruddha Ahara, is one of the aspects of Ayurveda that
takes into consideration the negative effects of incompatible foods. According to Ayurveda, Viruddha Ahara, an
unsuitable diet, is one of the main reasons for many health issues. For a healthy existence and to prevent lifestyle
problems, Ayurveda offers a simple dietary and lifestyle regimen. Acharya Charak has mentioned incompatible
food under the heading Viruddha Ahara. Food, which is wrong in combination, which has undergone the wrong
processing, which is consumed in incorrect dose, which is consumed at the incorrect time of day and in the wrong
season can lead to Viruddha Ahara.
A REVIEW OF GRAHANI ROGA
Authors: Sharma Nandini , Kumar Mishra Pramod , Sharma Indu , Sharma Bhrmanand , Dadhich Arun
Published: September 2023

Grahani is an organ that holds the food in GIT. The Jatharagni within Grahani is the main strength and support
which also gets support and strength from Grahani. Any deformity in the Agni or Agni Dosha results in diseases
affected by Grahani which are called Grahani dosha, Grahani Roga, or Grahani Dushti. The pathophysiology of
Grahani roga revolves around Agni dosha, which is linked to digestive fire dysfunction. Both anatomical and
physiological deformity can be found in Grahani. Grahani is a critical disease of great relevance with ulcerative
colitis. They have almost similar causative factors and symptoms like a loose stool with blood and mucous, constipation, dry and coated tongue, and anaemic and abdominal pain.
DISEASE MANAGEMENT THROUGH SHADKRIYAKALA: AN AYURVEDIC
APPROACH
Authors: Gupta Rishabh , Tiwari S.N , Acharya Pravanjan , Shukla O.P
Published: September 2023

The term Kriya Kala refers to the diagnosis of the stage of disease progression. Shadkriyakala has six stages:
Sanchaya, Prakopa, Prasara, Sthansamshraya, Vyaktavastha and Bhedawastha. Shad means 6 (number six), Kriya means action, and Kala means time or period Hence Shadkriyakala means "Appropriate time Periods to take
action/treatment". The term Kriyakala, also known as Chikitsa Avasara Kala, means the stage of the necessity of
treatment.1 The diagnosis in Ayurveda is not always based on the name of the disease but on nature or phenomenon. This phenomenon is described in the Samprapti terms of each patient's disease, covering the components of
Dosha, Dushya, and Adhishtana. The main factors in the pathogenesis of the disease are Dosha and Dushya. Shad
Kriyakala refers to the developmental stage of the disease process where the physician can intervene with the
most accurate treatment and medicine to halt the progression of the disease process. By understanding the process
of Shad Kriyakala, the pathological process can be stopped, and further complications avoided. Shad Kriyakala
helps to stop the process of disease at a very early stage. The need for research for the validation of Shad kriyakala will benefit humanity in the long term
ANTENATAL CARE YOGA AND ITS ROLE IN PREGNANCY
Authors: Tiwari Sneha , Zerikunthe Swapna
Published: September 2023

Pregnancy is a very important phase of every woman’s life. In that there are so many changes in the body occurring physiology & psychology in this tricky situation to maintain, physical, spiritual, and emotional well benign
is very important. Yoga is an ancient mind-body practice that originated in India It is becoming increasingly recognized and being used worldwide as a health practice for a variety of immunological, neuromuscular, psychological, and pain-related problems. It is most recognized for its potential to create balance in emotional, mental, physical, and spiritual dimensions. Yoga is a comprehensive system that commonly uses asana, pranayama, dharana,
and dhyana. This article review about the awareness of yoga in the antenatal period and various types of Asanas.
Yoga combines soul and mind with the body and mudras create mind peace.
La gestión administrativa en la calidad de atención al ciudadano en un Gobierno local de Perú
Authors: Delgado Tapia Victor Andres , Arbulú Pérez Vargas Carmen Graciela , Nauca Torres Enrique Santos , Valiente López Marco Antonio , Irigoin Hoyos Sergio , Rojas Peña Bella Claire
Published: September 2023

La calidad de atención a los ciudadanos es parte de la Política Nacional de Modernización de la Gestión Pública, se tuvo como objetivo general elaborar un modelo teórico de gestión administrativa para mejorar la calidad del servicio de atención al ciudadano en el gobierno local de Jaén. De enfoque positivista, básica, diseño no experimental, se encuesto a 380 ciudadanos que oscilan entre las edades de 18 a 50 años, se obtuvo la validez a través del juicio de expertos (V de Aiken >0,80), confiabilidad α = 0.966 en el cuestionario de expectativas de manera general y en percepciones α = 0.980. Como resultados un 88.5 % de los ciudadanos se ubicaron en el nivel de insatisfacción, un 7.37 % de los ciudadanos manifestaron que existe un nivel aceptable en cuanto a sus expectativas y percepciones del servicio. Concluyendo la existencia de una inadecuada prestación del servicio de atención al ciudadano.
Proceso de enseñanza de la lectoescritura. Una estrategia didáctica innovadora para su fortalecimiento
Authors: Briones Ponce María Eulalia , Delgado Cobeña Elan Ignacio , Briones Ponce María Johana , Moreira Palacios Sindy Mavel , Moreira Sánchez Jennifer Lisbeth , Aguilera Meza Carola Katherine
Published: September 2023

La investigación se enfocó en el proceso de aprendizaje de la lectoescritura, de tal modo que se pueda alcanzar una enseñanza con actividades didácticas para fortalecer el proceso educativo. El objetivo de la investigación se enfocó en elaborar una estrategia didáctica, basada en un enfoque de innovación en el aula, para favorecer el aprendizaje de la lectoescritura en los estudiantes del nivel Básico Superior. Como parte de la metodologia se desarrolló un enfoque mixto con la finalidad de abordar la información en la recolección de datos de los instrumentos aplicados. La muestra fue de 47 estudiantes y 21 docentes incluidos los directivos de la Unidad Educativa Fiscal Juan León Mera de la parroquia Colorado del Cantón Montecristi. Los resultados corroboraron la necesidad de estructurar y aplicar una estrategia didáctica innovadora para potenciar la enseñanza de la lectoescritura como un apartado principal en la formación académica de los estudiantes.
Analysis of Educational Curriculum Evolution in Indonesia and Its Impact on Increasing Education Quality
Authors: Jannah Raodatul
Published: September 2023

The evolution of the education curriculum in Indonesia has undergone significant changes in line with the times and global demands. This study aims to analyze the process of evolution of the education curriculum in Indonesia from the period 1947 to 2013, and identify its impacts on improving the quality of education. This research is a descriptive analysis research using a qualitative approach. The data collection technique was carried out by means of a literature review. The data that has been collected is analyzed in three stages, namely data reduction, data presentation and drawing conclusions. The results of the research show that the evolution of the education curriculum in Indonesia has undergone many changes from time to time. These changes were made to adapt to the growing needs of society. Changes in the education curriculum in Indonesia have had a positive impact on improving the quality of education, this can be seen from the increased skills and competencies of students who are more in line with the demands of the times, by adopting a curriculum that is more relevant and responsive to social, technological and economic developments, students will have the opportunity to develop skills needed in the real world.
A BLACK BOX TESTING DENGAN TEKNIK EQUIVALENCE PARTITIONS PADA WEBSITE DINAS PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KARAWANG
Authors: Maulana Taufik , Voutama Apriade
Published: September 2023

Website testing is the verification phase whether the website is working properly or not. If there are still errors, they must be corrected so that the website created reaches its goals and is of good quality. The website of the Department of Population Control and Family Planning (DPPKB) of Karawang Regency is being tested. With the name of the website, namely kbinten.id, this website is the official website of the Karawang Regency DPPKB which is used as a place for information about family planning programs in Karawang Regency, which is web-based for the community and consists of two parts, namely the website as an administrative panel and based on the website used by the username. Testing is conducted on a black box utilizing the Equivalence Partitions method. Black box testing allows for an external assessment of the program's functionality without knowledge of the underlying code. The Equivalence Partitions technique is employed to validate data inputted into various forms or pages on the kbinten.id website. Each input value is systematically examined and categorized into test cases yielding either valid or invalid outcomes. The objective of testing on kbinten.id is to identify and rectify implementation errors promptly, thereby expediting the error correction process.
PENERAPAN METODE TOPSIS DALAM EVALUASI KINERJA PADA PT. BPR PANDANARAN JAYA
Authors: Indriani Karlena , Fatma Utami Anastasia Siwi , Haidir Ali , Sinnun Ahmad , Handrianto Yopi , Christian Ade , Hariyanto Hariyanto
Published: September 2023

This study was done at PT BPR Pandanaran Jaya so that the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method could be used to improve how employee work is judged. Employee performance is an important part of a company's growth, and employee performance evaluations are done to find high-performing workers and help them improve. In this study, it was found that PT BPR Pandanaran Jaya has hardworking workers who are very committed to doing their jobs well. But there are also workers who need to work on how well they do their jobs. The TOPSIS method is used to compare how well each employee does their job based on important factors. The data showed that Linda Luciana Anggraeni and Dwi Jasminto were the employees with the best performance ratings, followed by Rudi Purnama. Mita Safira Mediana, Mia Arifah, Gea Ananda, Indra Utama, and Yunia Ningrum, on the other hand, were given lower scores for their work. Overall, PT BPR Pandanaran Jaya has high-performing workers, but some of them could do better. So, the company can use the results of this review to come up with plans to help employees grow, give them more training, and give them the help they need to improve their total performance. With these steps, PT BPR Pandanaran Jaya should be able to reach its organizational goals and keep a skilled and productive work team.
ANALISIS PENGARUH DIMENSI GAMBAR PADA KLASIFIKASI MOTIF BATIK DENGAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Authors: Syefudin Syefudin , Azmi Muchamad Nauval , Gunawan Gunawan
Published: September 2023

This study focuses on the classification of batik patterns using image data, specifically with three classes: kawung, parang, and pekalongan batik patterns. A total of 180 images were used for the research, divided equally among the three motifs. The dataset was collected through observations from Google. Data preprocessing involved two stages. In the first stage, the data was split into training and validation sets, with a 70% - 30% ratio, respectively. This separation allowed for evaluating the model's performance and generalization ability on unseen data. In the second stage, the Image Data Generator library was utilized to enhance data diversity and improve the model's ability to generalize patterns. Data augmentation techniques, such as rotation, shear, zoom, horizontal flip, and shift, were applied to the training data. The augmented data was then fed into a pre-defined Convolutional Neural Network (CNN) architecture. The CNN model processed the input data through convolutional layers with max pooling and ReLU activation functions. The outputs from the first convolutional layer were used as inputs for subsequent convolutional layers. The resulting feature maps were flattened and passed through fully connected layers for classification. The model's performance was assessed by evaluating accuracy measures. The CNN model achieved the highest accuracy of 98% on the training data and 100% on the validation data after 7 epochs.. The implementation was done using Python programming language and the Google Colab platform, along with required libraries. Model evaluation involved assessing the trained model's performance by inputting test data and computing evaluation metrics, including accuracy, precision, recall, and F1-score. Confusion matrix analysis provided insights into true positive, true negative, false positive, and false negative predictions. The classification report summarized the performance metrics of the model. In conclusion, the CNN method proved effective in classifying batik patterns. The size of the input images significantly influenced the accuracy of the model. A 148x148 pixel image size yielded 100% accuracy. As a suggestion, future research should consider using a larger dataset to maximize the accuracy of the classification model.
ANALISIS DATA PENJUALAN PADA SUPERMARKET XYZ MENGGUNAKAN METODE MARKET BASKET
Authors: Akbar Ananda Azizul , Izzulhaq Akbar Bintang , Nursabila Nafilah , Hananto Valentinus Roby
Published: September 2023

The economic growth in Indonesia has increased significantly, positioning Indonesia as the 4th largest economy after China, India, and Malaysia. This is also accompanied by national retail sales reaching a total of Rp6,044 trillion. One example of a retail business in Indonesia is Supermarket XYZ, which operates in Indonesia and sells essential items such as sugar, eggs, butter, and others. This research discusses an issue that exists in Indonesia, for example, Supermarket XYZ. The supermarket faces a problem with its employees struggling to determine the appropriate product layout based on consumer purchasing behavior. The market basket analysis method is used in this research to assist Supermarket XYZ's employees in determining the product layout. Transaction data is collected through internet searches, specifically on the Kaggle website. The data is then processed using the market basket analysis method, both manually and with the aid of the RapidMiner tool, to ensure the validity of the calculations. Once obtained, the results are implemented into a program to provide predictions for product placement layout. The research findings show that out of the 10 most purchased products by consumers, the top four products are chocolate, apples, bread, and ice cream. Furthermore, the suitable product combinations for layout placement yield 3 combinations: chocolate placed near apples with a support rate of 23%, chocolate placed near bread with a support rate of 22%, and chocolate placed near ice cream with a support rate of 21%.
RANCANG BANGUN APLIKASI ANDROID UNTUK MENEMUKAN LOKASI UMKM TERDEKAT DENGAN GOOGLE MAP API DAN HAVERSINE DISTANCE
Authors: Hidayat Syamsu , Silvanie Astried , Kristantini Rr. Aryanti , Subekti Rino
Published: September 2023

Micro, Small and Medium Enterprises (MSME), plays a role in improving people's welfare and incresing bruto income. With the support of IT for running MSMEs, it has proven to help the sustainability of MSMEs, especially during a pandemic. For this reason, we conducted a research by building a mobile applications to support MSME. This application has a minimum specification limit using Android 10 (Android Q) version. The application has the following functions (Silvanie et al., 2023) detects the current location based on GPS and Android location, (Wika Undari, 2021) displays the user's map from Google Maps and shows the user's position, (Rambe et al., 2022) retrieves UMKM data either briefly or in detail based on the closest distance to user position,(Alimuddin, 2021) the feature of registering as a member with more authority such as giving a rating. The SDLC Waterfall method is used to build the application. Calculation of the distance between the user and the MSME location is done by the Haversine formula. From the results of black box testing and the feasibility testing of the beta version, it is summarized as follows: 33% consider the application quite feasible, 66.7% consider the application feasible, 62.5% willingly to spend money to subscribe and 37.5% do not want to spend money.
ANALISIS SENTIMEN DAN PEMODELAN TOPIK PADA TWEET TERKAIT DATA BADAN PUSAT STATISTIK
Authors: Nurmawati Erna , Amanda Adielia
Published: September 2023

Annually, the Central Bureau of Statistics, known in Indonesia as BPS or Badan Pusat Statistik, conducts a routine Data Needs Survey (Survei Kebutuhan Data or SKD) to identify data requirements and the level of consumer satisfaction with the quality of data produced by BPS. However, SKD respondents are limited to consumers who have received services from the Integrated Statistics Services (Pelayanan Statistik Terpadu or PST) unit at BPS within a specific year. To gather opinions from the wider public accessing BPS data through channels other than the PST unit, an alternative approach is necessary – particularly through social media, specifically Twitter.

This study employs Twitter data to analyze public sentiment regarding BPS data. To understand the distribution of topics discussed within the community about BPS data indicators, topic modeling has been employed. The sentiment analysis process utilizes IndoBERT, an Indonesian language Bidirectional Encoder Representations from Transformers (BERT) model. For topic modeling, the Latent Dirichlet Allocation (LDA) method is utilized.

The results of sentiment analysis during the period 2020 - 2022 reveal that tweets related to BPS data generally convey a neutral sentiment. Meanwhile, the topic modeling process generates a range of topics, with variations observed in each year. Throughout 2020 - 2022, the most frequently discussed topics align with the statistical data from the 2020 - 2022 Data Needs Survey's data requirements section, reflecting the diversity of data needs.
PERANCANGAN APLIKASI E-LIBRARY BERBASIS MOBILE DI MTsN 6 AGAM
Authors: Rianti Diyan , Okra Riri , Musril Hari Antoni , Derta Sarwo
Published: September 2023

The research conducted refers to the problems found when the authors made observations at MTsN 6 Agam.This is motivated by difficulties in handling queues during the process of borrowing books, the limitednumber of printed books in the library so that they cannot borrow and read books. There is limited time forborrowing books at the library and it takes quite a long time in the process of borrowing books. Given theseproblems, the authors designed a mobile-based e-Library application at MTsN 6 Agam. The purpose of thisresearch is to produce a mobile-based e-library application that can be used properly, practically, andeffectively. The author uses the “Research and Development”(R&D) or development method. Thedevelopment model used is the prototype. The results of this study are in the form of a mobile-based e-libraryapplication with the Android operating system that can be used by students and teachers wherever andwhenever they are. The results of the validity test were carried out by three expert examiners, namely expertsgetting a value of 0.91 with valid criteria, then the results of the practicality test conducted by two examiners,namely getting a score of 98% with very practical criteria. Furthermore, the results of the effectiveness testconducted by fifteen examiners, namely students at MTsN 6 Agam, obtained an average score of 0.89 witha very high category.
PERANCANGAN SISTEM INFORMASI TAMBAT LABUH KAPAL DI PELABUHAN PERIKANAN NUSANTARA KARANGANTU
Authors: Farih Miftahul , Masum Masum , Gunawan Indra , Hasanah Huswatun
Published: September 2023

The purpose of this study is to make it easier to access data and make reports needed by those who need it. The method used in this study is the waterfall model, which begins with research on the current system, design, coding, and maintenance of archive management systems so that archive management information and archive management reports can run quickly, precisely and accurately. The results obtained from this study are regarding the design of a mooring information system that is integrated with a database to support the process of managing ship arrivals and departures easily, quickly, and accurately. In making a ship's arrival and departure certificate, it can be documented into a database, so that it can make it easier if you want to report ship arrival and departure data. The conclusion that can be drawn from this information system is that archive management can be well documented because it is equipped with a database, storage has become a single unit, can reduce redundancy or duplicate data, can display required mooring management information so that it can facilitate officers in making arrival management reports. and ship departure.
Effects of road infrastructure development on residential property value and land development shifts in a peri-urban area of Karachi, Pakistan
Authors: Nazir Humaira , Memon Reena Majid , Yousuf Muhammad Shahzad , Raja Maryum Sajid
Published: September 2023

The introduction of road infrastructure development projects often triggers expectations of shifts in property values. Extensive research has already been conducted regarding the impact of such projects on property values and land development in developed regions. However, there is a research gap when it comes to developing countries like Pakistan. Therefore, this study aimed to investigate the influence of the road infrastructure development project, the M-9 Motorway, on residential property values and land development in a mega residential project in Bahria Town Karachi (BTK), Pakistan. This study employs a mixed-methodology approach, incorporating qualitative methods (interviews) and quantitative analysis (questionnaire surveys and property data analysis). Statistical tools such as Statistical Package for Social Sciences (SPSS), the Pearson correlation coefficient, and the Chi-square goodness of fit test were used for correlation and hypothesis testing. This research reveals that proximity to a major road infrastructure project directly impacts property purchase prices, rents, and land development in BTK, either positively or negatively. The obtained results align with both expectations and the existing literature. Although these findings should not directly apply to other locations and contexts, they can be considered suggestive indicators for planning purposes.
Harnessing Dramatic Creativity: A Lesson Study on Enhancing Creativity in a Digital Puppetry Project
Authors: Thamesh Durga Tevi , Abdul Aziz Azlina
Published: September 2023

To manipulate digitally animated figures, objects, text, audio files, and music in a virtual setting is known as digital puppetry. It is frequently utilised in movies and TV shows, but it has also been employed in education, such in language teaching. The purpose of this study was to investigate the instructional approaches used to teach TESL pre-service teachers enrolled in the "Drama in Action" course to foster dramatic creativity. Pre-service teachers and the researchers worked together to observe and evaluate the teaching and learning processes. Participants wrote and edited drama scripts, made storyboards, chose pictures for the characters and backgrounds, recorded voiceovers, and selected appropriate music to set the tone and mood of the narrative. The findings showed that the pre-service teachers created artistic and compelling digital puppet shows, and with more guidance could have upgraded their digital process, English language accuracy, and pronunciation for better results. With the help of this lesson study, digital puppetry will become an effective teaching tool in ESL classrooms by enhancing the teaching strategies used in the “Drama in Action” course.
Engineering assessment for ISO 50001 implementation
Authors: Barbosa Jose
Published: September 2023

This paper recommends implementing an integrated management system based on the NTE INEN-ISO 50001 standard. ISO 50001 certification is an international standard that establishes the requirements for implementing an organization's energy management system (EMS). This standard focuses on improving energy efficiency, optimizing resource use, and reducing the environmental impacts associated with energy consumption. Some benefits of obtaining an ISO 50001 certification are Improved energy efficiency, cost savings, regulatory compliance: ISO 50001, innovation, employee participation, risk reduction, and process optimization. The objectives of the standard are described, which are the rationalization of energy consumption and preservation of energy resources and the improvement of productivity and competitiveness through the reduction of costs for efficient use of energy.
Is Anaerobic Distance Capacity Effective on Speed, Acceleration and Agility in Football?
Authors: MAYDA Muhammet Hakan , ARİ Erdal
Published: September 2023

This study purposed to examine the effect of anaerobic distance capacity on agility, speed and acceleration in young football players. Twenty-five young football players participated in the present study voluntarily (n= 25, age= 16.72±1.10 years, height= 174.04±8.34 cm, weight= 65.86±11.26 kg). Agility value of young football players was obtained by the Illinois agility test. The speed and acceleration values of players were measured by 30-meter sprint test. 800 and 2400-meter run tests were performed to determine critical velocity and anaerobic distance capacity values. Players performed all of tests with maximum effort on a synthetic grass football pitch. The critical velocity and anaerobic distance capacity values were determined by total distance model (linear regression analysis between time and distance of 800 and 2400-meter runs). The slope and y-intercept of the regression line was determined as critical velocity and anaerobic distance capacity values, respectively (Total Distance Model: Run Distance = Anaerobic Distance Capacity + Critical Velocity x Run Duration). The effect of critical velocity and anaerobic distance capacity values on agility, speed and acceleration was examined by multiple linear regression analysis. According to linear regression models, it was found that anaerobic distance capacity and critical velocity values were not significant predictors of agility, speed and acceleration (p>0.05). Consequently, it can be said that anaerobic distance capacity value does not affect high-intensity anaerobic activities such as agility, speed, and acceleration in young football players.
Changing Forms of Marriage in Colonial UP
Authors: Singh Suruchi
Published: September 2023

Abstract

Arranged marriage has been an integral part of Indian society for ages. However, its form to a certain extent has changed in the colonial period with the associated changes and reforms in marriage-related practices. This paper seeks to highlight the changes in the institution of marriage among the middle-class Hindu population of United Provinces (henceforth UP). While doing so, it argues that during the period of the early twentieth-century marriage as a social and cultural institution no longer remained simply a private or familial affair in UP, but discussed on public platforms immensely. It got inextricably linked to Hindu community identity assertions. Every aspect of marriage was scrutinized and institutionalized into a new practice. Changing caste and community consciousness among the middle-class Hindu population led to marked modifications in marriage negotiations and cultural festivities. This paper also investigates the inequities that the transformations in the institution of marriage gave rise to and argues that these changes further pushed Hindu women under new patriarchal control.
Economic Productivity through Net National Disposable Income
Authors: Khari Pooja
Published: September 2023

According to the Keynesian consumption function, Consumption expenditure plays a crucial role in determining the Gross Domestic Product (GDP), as evident in the Absolute Income Hypothesis. This concept has subsequently been used in developing the permanent income hypothesis and the life cycle hypothesis. However, when considering the net national disposable income after accounting for factors like net factor income from abroad, taxes, and subsidies, it becomes clear that final consumption expenditure holds a more dominant position. A gap in the existing literature arises from the historical unavailability of data, leading to the use of GDP as a proxy variable instead of net national disposable income when determining the consumption function for India. This research paper aims to address this gap by employing the net national disposable income of the Indian economy to estimate the consumption function for the period between 1994 and 2018. Additionally, it empirically tests the long-term effects of current income and current wealth (defined as past year income minus past year consumption) on consumption within the context of the Indian economy. The empirical findings provide support for a significant positive relationship between consumption and income and wealth. This is further substantiated by the significant values of the marginal propensity to consume (MPC) derived from income and wealth during the given time period. The estimated equation aligns with the life cycle hypothesis for the Indian economy, indicating that long-term, steadfast planning is crucial for improving the productive capacity of the economy, reducing poverty, and enhancing employment levels more effectively.
In silico Pharmacological Evaluation of Tetrahydro-β-carboline Derivatives as Putative Inhibitors of Alpha-Synuclein and Dopa Decarboxylase for Parkinson’s Disease
Authors: Yao Tham Xuan , Ayipo Yusuf Oloruntoyin , Mordi Mohd Nizam
Published: September 2023

Parkinson’s disease (PD) is a neurological problem that results mostly in disability globally due to therapeutic challenges. Alpha-synuclein (ASN) and Dopa decarboxylase (DDC) are strongly implicated in the pathogenesis of PD including the aggregation of Lewy bodies and degeneration of dopamine-producing cells. These make them plausible drug targets commonly explored by researchers in the quest for potent inhibitors. However, up to this moment, no inhibitor of ASN has been approved for clinical application while only a handful is available for DDC, as such, searching for effective inhibitors of the dual targets remains essential. In this study, the in-house databases of tetrahydro-β-carboline and carbazole derivatives were virtually screened for putative ligands with multitarget inhibitory mechanisms against the ASN and DDC using molecular docking protocols. Relevant drugs such as phenylbutyrate, anle138b, levodopa, carbidopa and benserazide were used as references. The physicochemical, pharmacokinetics, pharmacodynamics and toxicological profiles of the selected ligands and references were also evaluated in silico using pkCSM. From the virtual screening, ligands 172, 082 and 013 interacted more strongly with ASN receptors with SP glide gscores of –9.154, –9.124 and –8.971 kcal/mol respectively as compared to phenylbutyrate and anle138b with SP glide gscores of –7.181 and –5.875 kcal/mol. They also showed higher binding affinities to DDC receptor by higher SP glide gscores of –6.758, –5.212 and –6.271 kcal/mol than levodopa, carbidopa and benserazide with values of –4.217, –4.502 and –4.18 kcal/mol respectively. Among the 3 ligands, ligand 172 satisfies Lipinski’s Rules of 5 (RO5) and demonstrates ADMET parameters that favor a central nervous system (CNS) drug which was identified as potent inhibitors of ASN and DDC responsible for PD. The potential ligands with stronger inhibitory interactions and good ADMET profile are amenable for further experimental validation in the quest for potent inhibitors of ASN and DDC as anti-PD agents.
HIGHLIGHTS

Parkinson’s disease (PD) is a complex neurological disorder
No effective medication has been approved for PD treatment
Alpha-synuclein and dopa decarboxylase are relevant therapeutic targets
Putative inhibitors are identified from tetrahydro-β-carboline (THBC) derivatives
THBC derivatives deserve further studies as promising candidates for PD

GRAPHICAL ABSTRACT
In-Vitro Screenings for Biological and Antioxidant Activities of Aqueous Extract from Sacha Inchi (Plukenetia volubilis L.) Husks
Authors: Thuanthong Arthittaya , Klomklao Sappasith , Panyo Jarurat , Zhang Yi
Published: September 2023

Industrial processing of the Sacha inchi (Plukenetia volubilis L.) generated a large number of husks, which are one of the major by-products without sufficient utilization. Sacha inchi husk contains rich bioactive compounds unveiling its valorization potential. This study for the first time investigated the biological and antioxidant activities of the Sacha inchi husk extract recovered with distilled water at different temperatures (70, 80, 90 and 100 °C). The results showed that the aqueous extracts from Sacha inchi husks powder obtained at the extraction temperature of 80 °C showed the highest total phenolic content (7.90 mg GAE/g dry extract) and total flavonoid content (5.79 mg CE/g dry extract) and had the highest antioxidant activities (1,055.81, 53.60 and 1.59 µmol TE/g dry extract for DPPH, ABTS and FRAP assays, respectively, and 413.32 µmol EE/g dry extract for metal chelating assay). For antimicrobial activity, all extracts were effective against Gram-positive (Staphylococcus aureus and Listeria monocytogenes) and Gram-negative bacteria (Escherichia coli, Salmonella enteritidis, and Vibrio parahaemolyticus).
In addition, Sacha inchi husks powder extraction at 80 °C exhibited the lowest MIC (≤ 0.625 mg/mL) and MBC (≤ 0.625 mg/mL) against all tested microorganisms. The extracts obtained at the extraction temperature of 80 °C also exhibited maximum inhibition of α-amylase (77.71 %) and α-glucosidase (76.40 %). The highest inhibition of tyrosinase activity was presented by the aqueous extract obtained at 80 °C with an IC50 value of 8.40 ± 1.40 mg/mL. Our findings suggested that the aqueous extract of Sacha inchi husks can be served as an economical source of antioxidant, antimicrobial, anti-diabetic and anti-tyrosinase agents.
HIGHLIGHTS

Sacha inchi husk has relatively high quantities of phenolic compounds
The aqueous extracts of Sacha inchi husk showed high antioxidant activity, antimicrobial activity, anti-hypoglycemic activity and anti-tyrosinase activity
Sacha inchi husk contains important medicinal values for human health applications

GRAPHICAL ABSTRACT
Blood Flow with Heat Transfer through Different Geometries of Stenotic Arteries
Authors: Kumar Sumit , Kumar Surendra
Published: September 2023

The current study evaluates blood flow patterns in symmetrical, elliptical, trapezoidal, triangular, cosine-shaped and bell-shaped stenosed arteries with heat transfer. The ordinary differential equations obtained from the transformation applicable to the controlling partial differential equations. The system of ordinary differential equations has been solved using analytical methods of variation of parameters with the help of software. The MATLAB code graphically demonstrates various profiles and analyses the impact of the Prandtl number, magnetic field, Darcy number and Radiation number on velocity, wall shear stress, temperature and volumetric flow rate. The preponderance of blood flow problems is caused by stenosis between z = 1 and z = 2 locations for symmetrical, elliptical, trapezoidal, triangular, cosine-shaped and bell-shaped stenosis. The originality of the present study is the simultaneous influence of varied stenosis geometries on heat transfer. The main observation of blood velocity is that it is also greater for bell-shaped artery walls in the presence of a magnetic field than for trapezoidal artery walls between z = 1 and z = 2 and all other geometries in between. It may help to understand the blood flow in stenosed blood arteries caused by cardiovascular disease.
HIGHLIGHTS

The current study evaluates blood flow patterns in symmetrical, elliptical, trapezoidal, triangular, cosine-shaped and bell-shaped stenosed arteries with heat transfer
The effect of magnetic field and Darcy number on a diseased segment of an artery is examined
Due to the presence of hemoglobin in RBCs, which contains iron oxide particles and is capable of binding oxygen molecules, the blood is greatly impacted by the magnetic field

GRAPHICAL ABSTRACT
Classification of Pneumonia, Tuberculosis, and COVID-19 on Computed Tomography Images using Deep Learning
Authors: Kaewlek Titipong , Tanyong Kanoklada , Chakkaeo Jintana , Kladpree Sumaporn , Chusin Thunyarat , Yabsantia Sumalee , Udee Nuntawat
Published: September 2023

The accurate diagnosis of pneumonia, tuberculosis, and COVID-19 using computed tomography (CT) images is critical for radiologists. Artificial intelligence (AI) has been introduced as a tool to aid in rapid diagnosis. In this study, we evaluated 4 deep learning models, including AlexNet, GoogleNet, ResNet, and deep convolutional neural network (DCNN), to classify CT images of tuberculosis, pneumonia, and COVID-19. We collected 2,134 normal images, 943 images of tuberculosis, 2,041 images of pneumonia, and 3,917 images of COVID-19 from online datasets. To assess the efficiency of the models, we measured their image classification performance such as accuracy, F1 score, and area under the curve. Our performance evaluation indicated that ResNet was the highest-performing model, with the best accuracy, F1 score, and area under the curve (0.966, 0.931, 0.954, respectively). The second-best performing model was DCNN, while AlexNet and GoogleNet had the next-best performance, respectively. The deep learning models exhibit a capability that could be viewed as a substitute for predicting lung diseases and could be employed to support radiologists in CT image screening.
HIGHLIGHTS

The four deep learning models including AlexNet, GoogleNet, ResNet, and DCNN can classified for 4 classes (tuberculosis, pneumonia, COVID-19, and normal)
The AUC indicates the model's ability to distinguish between positive and negative images, ResNet had the highest AUC for normal, pneumonia, and COVID-19, while AlexNet was highest for tuberculosis
The ResNet model performed the best in terms of accuracy of model prediction, correctly predicting the labels for all 4 classes of input data (tuberculosis, pneumonia, COVID-19, and normal)

GRAPHICAL ABSTRACT
Determination of the Inclusion Levels of Street Foods in the Menus of Food and Beverage Businesses in Kadıkoy District of İstanbul
Authors: KARGİGLİOĞLU Şaban
Published: September 2023

Turkey is a country that is highly preferred by tourists due to its geographical location, nature, historical beauties and food culture. Street foods can be affected by factors such as geographical location, mode of production, historical development, economic, cultural relations, belief and ethnic status. With the increasing popularity of street food in recent years, it is seen that street food has been added to the menus of cafes and restaurants. The main purpose of this study is to determine the inclusion levels of street foods in the menus of food and beverage businesses. The population of the study are employees of food and beverage businesses in Kadiköy. The level of street food in the menu is examined with a sample of a personnel (n=25) from a food and beverage businesses in Kadıköy. Semi structured interview technique among qualitative research techniques was used. Interviews were made with the authorities (chef, waiter, business manager and employer) of food and beverage businesses determined through purposive sampling method. The findings illustrate that there was intense preference of street foods in food and beverage businesses. It has been observed that some businesses use street foods as the main theme in restaurant design and menu planning. It is seen that street foods are preferred either as sides next to beverages or as appetizers before the main meal.
Reklam Afişlerinde Göçmenlerin Sosyal Entegrasyonu: Almanya Entegrasyon Vakfı Örneği
Authors: GEZGİN Ümran
Published: September 2023

Öz

Bu çalışma halkla ilişkiler faaliyetlerinde reklam afişlerinin sosyal entegrasyon bağlamında göçmenleri Almanca öğrenmeye ve sosyal hayata katılmaya teşvik rolünü ele almaktadır. Günümüzde milyonlarca insan savaş, şiddet, açlık veya doğal afetlerden kaçtığı gibi milyonlarcası da emek göçü, eğitim göçü, yatırım göçü vs. yaparak doğduğu topraklardan çok uzaklarda yaşamına devam etmektedir. Bu insanların göç rotalarına bakıldığında günümüz göç eylemlerinin bir anlamda küresel eşitsizliğin de bir göstergesi olduğu görülmektedir. Küresel göçmenlerin sayıca artışıyla ortaya çıkan kavramlardan biri olan sosyal entegrasyon; göç eden bireylerin geldikleri ülkenin toplumuyla uyum içinde bütünlük sağlamasıdır. Gelişmiş ülkelerde sosyal entegrasyon sürecinde bireyler kendi başlarına bırakılmazlar. Göç alan ülkelerin kamu kurumları, sivil kuruluşları ve yerli halk göç edenlerin sosyal entegrasyon sürecinde onlara yardım eder. Almanya 1960’lı yıllardan beri çoğunluğu Türklerden oluşan milyonlarca göçmenin en çok tercih ettiği ülkelerin başında gelmektedir. Ülkede göçmenlerin sosyal entegrasyonundan sorumlu kamu kurumunun dışında yarı resmi kurumlar ve sivil toplum kuruluşları konuyla ilgili iletişim faaliyetleri yürütmektedir. Bu çalışmada, göçmenleri sosyal entegrasyona teşvik eden Alman Entegrasyon Vakfı'nın (Deutschlandstiftung Entegrasyonu) (DSI) halkla ilişkiler faaliyetlerinden Almanca öğrenmenin kilit rolünü vurgulayan yirmi yedi reklam afişinden üçü örnek olarak seçilmiştir. Bu üç reklam afişi Roland Barthes’in göstergebilim yaklaşımıyla analiz edildi. İncelenen reklam afişlerinde göçmenlerin Almanca öğrenmesi “başarı” ve “şöhret” mitiyle sunulmuştur.
Optimization of Resnet50 using Random Search for Face Recognition
Authors: Shem L. Gonzales
Published: September 2023

This study used the ResNet50 architecture and optimum configurations performed by Random Search to provide the values of an exhaustive investigation into the field of face recognition using Transfer Learning approach. The model's outstanding capability to succeed in an image classification task is demonstrated by its performance measures, which include precision (99.60%), recall (99.58%), and F1-score (99.59%).These findings highlight the importance of hyperparameter optimization as well as the capability of well-structured deep-learning models to produce astounding levels of accuracy and reliability
Feature Extraction Face-Off: A Comparative Analysis of InceptionV3 and VGG19 for Face Recognition
Authors: Shem L. Gonzales
Published: September 2023

Face Recognition is one of the popular interest of researchers due to its demand in security and authentication. Although traditional approaches such as LBPH and Eigenfaceshave still proven their performance, newly state-of-the-art algorithms are available for application. This study compared the performance of two CNN pre-trained architectures namely: InceptionV3 and VGG19 with an SVM classifier. Besides VGG19’s respectable results, it lags behind InceptionV3 by 3.86% in precision, 3.23% in recall, 3.54% in f1-score, and 1.85% in roc-auc score.
Application of Domain Adaptive Deep Learning Model for Face Recognition with Grid Search Optimization
Authors: Shem L. Gonzales
Published: September 2023

This study examined the effectiveness of domain-adaptive deep learning models in the field of face recognition with ResNet50 pre-trained architecture. The model demonstrated excellent accuracy in the manual approach, achieving 93.57%, highlighting ResNet50's intrinsic skills in feature extraction and classification tasks. Furthermore, by using Grid Search Optimization, the accuracy increased to an astounding 100%, emphasizing the significant role of hyperparameter adjustment in optimizing the model's performance. These findings highlight the potential of domain adaptation methods to improve face recognition systems and highlight Grid Search Optimization as a key strategy for achieving the accuracy levels required for real-world implementations
STAT1/MUC4 activation promotes antimicrobial peptide production to reduce intestinal epithelium barrier injury caused by enteropathogenic Escherichia coli infection
Authors: Pei Liu , Zuo Zhigang , Zhang Meixiang , Zhao Likun , Li Kaishuang
Published: September 2023

Introduction

Antimicrobial peptides (AMPs) are endogenous peptides that have been identified to alleviate intestinal epithelial barrier inflammation and dysfunction caused by enteropathogenic Escherichia coli (EPEC) infection; nonetheless, the upstream molecular mechanism of the production of AMPs is poorly understood.

Material and methods

The binding of signal transducer and activator of transcription (STAT) 1 (STAT1) to mucin 4 (MUC4) was examined by Co-Immunoprecipitation assay. To detect the influence of STAT1 and MUC4 expression, C57BL/6 mice model of EPEC infection in vivo and EPEC infected intestinal epithelial cells (IEC) in vitro model was established. Expressions of STAT1, MUC4, phosphorylated (p)-STAT1, proinflammatory cytokines, zonula occludens-1 (ZO-1) and AMP-related genes in mouse ileum and/or IEC were analyzed by immunohistochemical test, immunofluorescence assay, Western blot, and/or qRT-PCR. Meanwhile, IEC viability and apoptosis were measured using CCK-8 assay and flow cytometry.

Results

p-STAT1, MUC4, ZO-1 and AMP-related gene were lowly expressed in the ileum of EPEC-infected mice. p-STAT1 and MUC4 bound to each other. The expressions of STAT1 and MUC4 were decreased in EPEC-infected IEC. Overexpression of STAT1 resisted EPEC-induced viability decrease, apoptosis promotion, ZO-1 activity inhibition, release of proinflammatory cytokines, and downregulation of MUC4 and AMP-related genes in IEC. MUC4 knockdown partly counteracted the effect of STAT1 overexpression, but did not affect the forced STAT1 overexpression in EPEC-infected IEC.

Conclusions

STAT1/MUC4 pathway activation promotes AMP production to mitigate intestinal epithelium barrier injury caused by EPEC infection.
The Effect of Leadership Style and Working Hours on Employee Morale
Authors: Patmawati Patmawati , Arisinta Octaviana , Ulum Romiftahul
Published: September 2023

The purpose of this study is to determine how factors such as managerial style and length of working day affect morale at Salon Aviqa Rumah Cantik. The study used a quantitative approach, sampling 50 workers from the larger population of all those who work at Salon Aviqa Rumah Cantik. A questionnaire served as the method of information gathering. The research results suggest that the leadership style variable (X1) does not impact staff morale since both Ho and Ha accept it. tcount > ttable, or -0.290 > 2.011, and the sig value is 0.05 0.773. Therefore the conclusion holds. We may conclude that Ho is false since both the calculated tvalue (2.324 > 2.011) and the significance value (sig) of 0.05 are larger than the ttable and the significance threshold set at 0.005, respectively. Ha, the competing hypothesis is accepted. This demonstrates that employee morale is greatly affected by the variable Working Hours (X2). The data suggests that the Fcount value is higher (4.942) than the ftable value (3.20). This demonstrates, at the 0.05 significance level, that leadership style and working hours positively impact the observed variables. The preceding ftest findings suggest that the interaction between leadership style and working hours significantly affects the dependent variables at the 0.05 significance level.