bluuebunny/crossref_metadata_2025 huggingface dataset:
Diseases and Disorders Associated with Immune System
Authors: Shimpi Pooja , Pillewan Smita , Nikam Vandana S.
Published: May 2023

The human immune system is one of the complex systems of the body,
which works against both external and internal invasion. It has two parts: the innate and
the acquired immune systems. We have been born with the innate system which gives a
quick response for the invading pathogen non-specifically. To deal with the typical
environmental antigens, immune system adapts to changes. The acquired (or adaptive)
component develops over time and produces antibodies that “remember” invaders to
fight them if they return. Failure of it could be due to genetic defect (weak natural
immunity), inability to adapt to the change, hyper-responsiveness, or inability to
distinguish self from foreign, leading to various diseases and disorders. Various genetic
defects of the immune system are at the core of Primary Immune disorders (PIDs),
while overactivity is responsible for allergic diseases. Autoimmune diseases are mostly
due to malfunction of the adaptive immune system, while in Systemic Auto-inflammatory Disorders (SAIDs), the innate immune system is affected. Advancements
in technology and genetics have improved our understanding of the pathogenesis,
diagnosis, and management of these diseases.
Standardization of Immunomodulator Natural Drugs
Authors: Nale Aishwarya R. , Jagtap Supriya G.
Published: May 2023

Natural medications are gaining popularity as people become more aware of their benefits and accept their use in modern medicine. Natural drugs have demonstrated extensive suitability as curative agents for various disorders due to their fewer side effects and toxicity. Scientists face a tremendous problem in developing accurate analytical techniques that can efficiently profile the contents of phytochemicals. This is in addition to quantitative studies of marker or bioactive chemicals and some other important ingredients. Natural medicines, on the other hand, lack standardized parameters. Standardization is a vital step towards the formation of a constant chemical profile, consistent biological activity, or just a quality assurance programme for the production and manufacturing of natural products. As a requirement for global harmonization, the WHO criteria for assessing the safety, efficacy, and quality of natural drugs are extremely important. Scientific research of some of the natural origin plants regarded in Ayurvedic Rasayana for their beneficial potential has generated good results. The number of plants with a potential immunomodulatory activity that has been cultivated using conventional or cell culture methods is standardized. This can help to portray and validate their usage in folk medicine in the early days, as well as give an establishment for future investigation. The goal of this chapter is to showcase the findings of research evidence on standardized natural plant origin immunomodulators. The chapter also goes through biological screening strategies for diverse plant medications with the goal of revealing the immunomodulation mechanism. Researchers will hopefully be encouraged to pursue more research on medicinal plants with immunomodulatory potential as a result of this study.
Bioassays and Other Methods for Immunomodulators in Preclinical and Clinical Setting
Authors: Nigade Priyanka P. , Dhamane Pranjali S. , Nikam Vandana S.
Published: May 2023

The availability of appropriate animal models is essential for effective translation of immunomodulatory research into clinical settings. Bioassays and other methods for immunomodulators in the preclinical and clinical setting are being used to assess the quality and quantification of the immune response, find the best suitable route of administration and formulation method, protect the transmission of infection, and assess the safety and toxicity of immunomodulators. Identifying the appropriate animal model has become very important, since each model has its own pro's and cons. The scope of this chapter is to outline the assaying of immunomodulatory activity, the approaches and the experimental strategies. This chapter discusses various in-vitro models such as cell lines, assays and murine models, which are being used for quantification of the immune response, assessment of overall immune functions, immunosuppressive activity, screening of anti-allergic drugs and agents used in the treatment of various autoimmune disorders and transplant-related and autoimmune diseases. The most important questions that we should keep in mind while choosing a suitable animal model are, selection of suitable species, physiological relevance of model, immunological functions to be evaluated, and its practical implications.
Humaria setimarginata (Pyronemataceae, Ascomycota), una nueva especie de México
Authors: Sánchez-Flores Marcos , Raymundo Tania , Van Vooren Nicolas , Martínez González César Ramiro , García-Jiménez Jesús
Published: May 2023

Antecedentes y Objetivos: Humaria (Pyronemataceae, Ascomycota) es un género de hongos ectomicorrízicos, distribuidos generalmente en bosques templados. Se caracteriza por apotecios cupuliformes a discoides que están cubiertos con abundantes pelos en todo el exterior de los ascomas marrones, y por ascosporas elipsoides, hialinas y verrucosas. Son 66 especies aceptadas de las cuales solo una ha sido registrada en México. El presente estudio tiene como objetivo describir una nueva especie de Humaria, con datos morfológicos, ecológicos y moleculares, encontrada en el bosque de Quercus de Tamaulipas, México.
Métodos: Los ejemplares fueron recolectados en 2019 en el municipio Victoria, Tamaulipas, México. La descripción y los estudios morfológicos se realizaron según las técnicas micológicas tradicionales. El material estudiado fue depositado en el Herbario Micológico José Castillo Tovar del Instituto Tecnológico de Ciudad Victoria (ITCV) y en el Herbario de la Escuela Nacional de Ciencias Biológicas (ENCB) del Instituto Politécnico Nacional. Los análisis filogenéticos se realizaron utilizando secuencias ITS y LSU del ADNr nuclear.
Resultados clave: Humaria setimarginata sp. nov. se describe e ilustra. Esta especie se diferencia bien por características morfológicas, moleculares y ecológicas. Forma un apotecio típicamente cupuliforme, con margen recto, abundantes pelos cortos color marrón oscuro en el margen y un himenio blanco grisáceo. Presenta una reacción dextrinoide en el excípulo ectal en contacto con el reactivo Melzer. Crece alrededor de Quercus rysophylla y Q. polymorpha en bosques de encino.
Conclusiones: Humaria setimarginata es la segunda especie de este género que se reporta para México, después de Humaria hemisphaerica. Hay varias colecciones bajo el nombre de Humaria sp. que necesitan una revisión, para ampliar el conocimiento de la diversidad de este género en el país. Es posible que existan varias especies, considerando que este género es ectomicorrícico y la diversidad de sus hospedantes potenciales es alta.
PANDANGAN TERHADAP KETIDAKSADARAN MASYARAKAT MENJADI SEORANG PAKAR DALAM KASUS SEPAKBOLA DI TWITTER
Authors: Pratama Tito Ari
Published: May 2023

Penelitian ini bertujuan untuk mengetahui perilaku masyarakat cyber dalam platform twitter untuk melihat perilaku fans sepak bola Indonesia yang mendukung tim luar negeri. Penelitian virtual deskriptif kualitatif menjadi pendekatan yang digunakan dalam penelitian ini. Dengan bantuan pandangan teori psikoanalisis Sigmund Freud juga dengan beberapa pandangan pakar kebudayaan dan media lainnya yang memperkuat argumentasi dalam isi penelitiannya. Platform Twitter dipilih karena sangat dikenal sebagai media sosial yang bebas, sehingga menjadi arena yang cocok sebagai tempat komunitas sepak bola online untuk saling berbagi informasi. Mulai munculnya banyak argument yang menyatakan bahwa “kepakaran” seakan melebur dalam setiap argumentasi sepak bola di dalamnya, bahkan banyak argument menjurus ke arah seperti sarkas, hingga rasisme dan sara. Penelitian ini sendiri melihat tentang pentingnya kepakaran dalam dunia sosial media sepak bola di Twitter, sehingga penting melihat faktor seperti apa yang mempengaruhi argumentasi yang mengagung-agungkan kepakaran ini demi klub kesayangan mereka. Maka. Data memperlihatkan jika fanatisme dan fantasi secara tidak sadar menjadikan pengguna media sosial khususnya pecinta sepak bola seakan menjadi “pakar” jika klub kesayangan mereka dikritik oleh pihak lainnya.
Using Baidu Index Data to Improve Chickenpox Surveillance in Yunnan, China: Infodemiology Study
Authors: Wang Zhaohan , He Jun , Jin Bolin , Zhang Lizhi , Han Chenyu , Wang Meiqi , Wang Hao , An Shuqi , Zhao Meifang , Zhen Qing , Tiejun Shui , Zhang Xinyao
Published: May 2023

Background

Chickenpox is an old but easily neglected infectious disease. Although chickenpox is preventable by vaccines, vaccine breakthroughs often occur, and the chickenpox epidemic is on the rise. Chickenpox is not included in the list of regulated communicable diseases that must be reported and controlled by public and health departments; therefore, it is crucial to rapidly identify and report varicella outbreaks during the early stages. The Baidu index (BDI) can supplement the traditional surveillance system for infectious diseases, such as brucellosis and dengue, in China. The number of reported chickenpox cases and internet search data also showed a similar trend. BDI can be a useful tool to display the outbreak of infectious diseases.

Objective

This study aimed to develop an efficient disease surveillance method that uses BDI to assist in traditional surveillance.

Methods

Chickenpox incidence data (weekly from January 2017 to June 2021) reported by the Yunnan Province Center for Disease Control and Prevention were obtained to evaluate the relationship between the incidence of chickenpox and BDI. We applied a support vector machine regression (SVR) model and a multiple regression prediction model with BDI to predict the incidence of chickenpox. In addition, we used the SVR model to predict the number of chickenpox cases from June 2021 to the first week of April 2022.

Results

The analysis showed that there was a close correlation between the weekly number of newly diagnosed cases and the BDI. In the search terms we collected, the highest Spearman correlation coefficient was 0.747. Most BDI search terms, such as “chickenpox,” “chickenpox treatment,” “treatment of chickenpox,” “chickenpox symptoms,” and “chickenpox virus,” trend consistently. Some BDI search terms, such as “chickenpox pictures,” “symptoms of chickenpox,” “chickenpox vaccine,” and “is chickenpox vaccine necessary,” appeared earlier than the trend of “chickenpox virus.” The 2 models were compared, the SVR model performed better in all the applied measurements: fitting effect, R2=0.9108, root mean square error (RMSE)=96.2995, and mean absolute error (MAE)=73.3988; and prediction effect, R2=0.548, RMSE=189.1807, and MAE=147.5412. In addition, we applied the SVR model to predict the number of reported cases weekly in Yunnan from June 2021 to April 2022 using the same period of the BDI. The results showed that the fluctuation of the time series from July 2021 to April 2022 was similar to that of the last year and a half with no change in the level of prevention and control.

Conclusions

These findings indicated that the BDI in Yunnan Province can predict the incidence of chickenpox in the same period. Thus, the BDI is a useful tool for monitoring the chickenpox epidemic and for complementing traditional monitoring systems.
Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study
Authors: Chikwetu Lucy , Daily Shaundra , Mortazavi Bobak J , Dunn Jessilyn
Published: May 2023

Background

Effective monitoring of dietary habits is critical for promoting healthy lifestyles and preventing or delaying the onset and progression of diet-related diseases, such as type 2 diabetes. Recent advances in speech recognition technologies and natural language processing present new possibilities for automated diet capture; however, further exploration is necessary to assess the usability and acceptability of such technologies for diet logging.

Objective

This study explores the usability and acceptability of speech recognition technologies and natural language processing for automated diet logging.

Methods

We designed and developed base2Diet—an iOS smartphone application that prompts users to log their food intake using voice or text. To compare the effectiveness of the 2 diet logging modes, we conducted a 28-day pilot study with 2 arms and 2 phases. A total of 18 participants were included in the study, with 9 participants in each arm (text: n=9, voice: n=9). During phase I of the study, all 18 participants received reminders for breakfast, lunch, and dinner at preselected times. At the beginning of phase II, all participants were given the option to choose 3 times during the day to receive 3 times daily reminders to log their food intake for the remainder of the phase, with the ability to modify the selected times at any point before the end of the study.

Results

The total number of distinct diet logging events per participant was 1.7 times higher in the voice arm than in the text arm (P=.03, unpaired t test). Similarly, the total number of active days per participant was 1.5 times higher in the voice arm than in the text arm (P=.04, unpaired t test). Furthermore, the text arm had a higher attrition rate than the voice arm, with only 1 participant dropping out of the study in the voice arm, while 5 participants dropped out in the text arm.

Conclusions

The results of this pilot study demonstrate the potential of voice technologies in automated diet capturing using smartphones. Our findings suggest that voice-based diet logging is more effective and better received by users compared to traditional text-based methods, underscoring the need for further research in this area. These insights carry significant implications for the development of more effective and accessible tools for monitoring dietary habits and promoting healthy lifestyle choices.
FAKTOR-FAKTOR PENGGUNAAN OUT-OF-POCKET PADA PESERTA BPJS PBI DI KLINIK “ASIH SASAMA”
Authors: Boenjamin Azizah , Puspandari Diah Ayu
Published: May 2023

Background: The Social Security Administering Body (Badan Penyelenggara Jaminan Sosial, BPJS) established a health system based on Social Health Insurance called the National Health Insurance (Jaminan Kesehatan Nasional, JKN).
AJWAIN SEEDS AS CAPPING AGENT FOR Bi2O3 NANOFLAKES: SYNTHESIS AND GROWTH INHIBITING EFFICIENCY OF BACTERIA
Authors: SETHURAMAN BHARANI DHARAN , CHANDRASEKAR LAKSHMI PRABHA , SUBRAMANI MANIKANDAN , ANILKUMAR ASWATHY KARANATH , GANESH MUNUSWAMY-RAMANUJAM , MOHANDOS SIVAKAMI
Published: May 2023

Objective: This work is mainly focused to determine the antibacterial activity of the green synthesized Bi2O3 nanoparticles against the bacterial strains, Staphylococcus aureus and Escherichia coli using resazurin as indicator.

Methods: Bismuth oxide nanoparticles were synthesized from the precursor bismuth nitrate [Bi (NO3)3.5H20] by using trachyspermum ammi (ajwain) seed extract. To carry out these works, the synthesized Bi2O3 NPs undergone characterizations and were confirmed by UV-Vis, FT-IR, XRD, SEM and EDAX, TGA-DTA and DLS. Biological activity was done using a well diffusion method.

Results: Bi2O3 NP's has been tested against bacteria (S. aureus and E. coli) in wells and shows blue colour, indicating bacterial growth inhibition in a dose-dependent manner for different concentrations.

Conclusion: The biological studies were done with one gram-positive and one gram-negative bacteria to show the inhibiting efficiency. The synthesized bismuth oxide nanoparticles showed good anti-bacterial activity (different concentrations) against S. aureus and E. coli.
A RATIONAL UNDERSTANDING OF SNEHA KALPANA
Authors: V. K. ROSHNI , SRIDURGA CH.
Published: May 2023

Sneha kalpana is an important dosage form of Ayurveda which is helpful in treating wide range of diseases. From the term "Snih" dhatu the word “Sneha” is derived. Sneha means fat or fatty material. From the root word ‘Krup Samarthye’, the word Kalpana is originated. It denotes specific procedures which help to convert a drug into medicament eg. Taila Kalpana and Ghrita Kalpana. Sneha kalpana is the pharmaceutical process where the fat and water-soluble active principles are extracted from the basic ingredients into sneha. Sneha is used in all modes of drug administration procedures, including Pana, Abhyanga, Bhojhana, Nasya, and Basti. There are several steps involved in the preparation of Sneha, including Poorva karma (the selection of Sneha and other dravya i.e., kalka dravya and drava dravya), pradhana karma (Sneha paka), and paschat karma (filtering of prepared sneha). Sneha kalpana is discussed in a detailed manner in this article.
DEVELOPMENT OF NOVEL 1, 3, 4-THIADIAZOLES AS ANTITUBERCULAR AGENTS-SYNTHESIS AND IN VITRO SCREENING
Authors: THOMAS ANCY , B. VINOD , K. U. SNEHA SHENOY , M. V. VISHNU
Published: May 2023

Objective: Tuberculosis, known in short as TB, is considered to be a global crisis caused by Myco bacterium tuberculosis, and which continues to be a serious challenge to public health world wide especially in the developing countries. A serious problem related to tuberculosis is the development of drug resistant strains.

Methods: Present study describes the synthesis of eight novel derivatives of 1,3,4-thiadiazole derivatives and in vitro evaluation of their anti tubercular activity against Mycobacterium tuberculosis H37 Rv strain by alamar blue assay. Pyrazinamide and Streptomycin were the standards, used for the evaluation.

Results: Among the eight compounds synthesized one derivative was found to be active against the strain tested. All the other derivatives tested exhibited negligible activity against the strain.

Conclusion: It can be concluded that novel 1, 3, 4-thiadiazole derivatives can be developed as novel agents in the fight against TB.
Hortensia Moreno Esparza. Escribir en feminismo
Authors: Belausteguigoitia Rius María Isabel ,   CIEG-UNAM, Lamas Encabo Marta ,   CIEG-UNAM, Ortega Garay Paola Gabriela ,   CIEG-UNAM, Olivares Mansuy Lucía Cecilia , López González de Orduña María Helena ,   CIEG-UNAM, Alcántara Zavala Eva ,   UAM-X, Sabido Ramos Olga ,   UAM-A, Buj Niles Lili Micaela ,   IIS-UNAM, Bejarano Espinosa Laura ,   FFyL-UNAM, Fernández de la Reguera Ahedo Alethia ,   IIJ-UNAM, Amador Belloda Carlos ,   FQ-UNAM, Sánchez Ramos María ,   Universidad de Sevilla, Marván Enríquez Gerardo ,   UAM-X, Torrez Cruz César ,   CIEG-UNAM, Martínez Ramírez Víctor Hugo ,   Université Paris 1 - Panthéon-Sorbonne, Tapia Silva Nancy Alejandra ,   CIEG-UNAM, Vásquez Montiel Salma ,   CIEG-UNAM, Maciel Molinar Janaina ,   CIEG-UNAM
Published: May 2023

Como parte de la Colección Sin Pedestal, el libro tiene como objetivo conmemorar la trayectoria y los 70 años de vida de la académica, escritora y editora Hortensia Moreno Esparza, directora de Debate Feminista.
El neuroderecho como un nuevo ámbito de protección de los derechos humanos
Authors: Cáceres Nieto Enrique , López Olvera Carmen Patricia
Published: May 2023

El objetivo este trabajo es arrojar luces sobre la relación entre el neuroderecho y la epistemología jurídica aplicada, como un nuevo ámbito de protección de los derechos humanos. Se realizó una investigación analítica en los ámbitos de la ética y el derecho cuyos resultados permitieron analizar las relaciones entre el neuroderecho a nivel prejurídico y jurídico. Se propone el neologismo “neuroepistemología forense” para denotar el estudio de las neurociencias y neurotecnologías en la determinación de la verdad en el derecho y se exponen algunos casos presentados en tribunales de distintos países. El trabajo concluye con una reflexión sobre los dilemas que pueden presentarse entre la protección de derechos humanos como resultado del uso de las neurotecnologías en el derecho.
La imprecisa regulación jurídica de los procesos de secesión en el derecho internacional postcolonial. El caso de Cataluña
Authors: Portilla Gómez Juan Manuel
Published: May 2023

La secesión postcolonial es uno de los temas más debatidos en el derecho internacional. La autodeterminación de los pueblos versus la integridad territorial de los Estados, y la unilateralidad de una declaración de independencia versus el no consentimiento del Estado resultan irreconciliables. Asimismo, el reconocimiento deviene en un elemento externo que incide de manera importante en estos procesos. El caso de Cataluña evidencia una excesiva neutralidad del derecho internacional y exhibe un escenario con asusencía de reglas claras que propicia que el derecho internacional se debilite frente a la Realpolitik.
Debates sobre la prueba en el litigio ante la Corte Interamericana
Authors: García Chavarría Ana Belem
Published: May 2023

En los procesos ante la Corte Interamericana no tiene aplicación el principio de presunción de inocencia, in dubio pro reo, ni el estándar de la prueba más allá de toda duda razonable, los cuales únicamente tienen aplicación respecto del imputado en un proceso penal para establecer su culpabilidad o inocencia. En cambio, ante la Corte Interamericana es suficiente que, mediante la doctrina de la carga dinámica de la prueba y de acuerdo con las reglas de la sana crítica, se llegue a la convicción sobre la veracidad o verosimilitud de los hechos. Este artículo examina y contesta algunas críticas que se imputan alTribunal relacionadas con su estándar de prueba. Al ofrecer dichas respuestas, se presenta una sistematización que articula los criterios utilizados por la Corte y hace entender sus decisiones.
Improving the Quality of Manufacturing of Locomotive Body Frames
Authors: Gupalov B.A.
Published: May 2023

The paper describes the process of manufacturing the frame of locomotive bodies, which is a complex step-by-step process of assembling (welding) elements. It has been established that internal stresses cause welding deformations, while the deviation from the straightness of the sidewalls of the electric locomotives body frames of 2ES6, 2ES10, 2ES7 series (manufactured by Ural Locomotives LLC) can reach up to 25 mm with a tolerance of 5 mm. The results of internal stress analysis for linear displacements of 25 mm sidewalls showed that the maximum stress values can reach up to 45 MPa. To improve the accuracy of parameters, the operation of straightening by local heating is introduced into the body frame manufacturing technology. The paper describes the main characteristics of the existing straightening technology in production, shows the main disadvantages. Studies of technical solutions for straightening methods have been carried out. The results show that there are ample opportunities to replace thermal straightening with mechanized vibrational processing, which reduces residual stresses in the product material. The efficiency of vibration treatment largely depends on the selected mode parameters: frequency, amplitude, duration of vibration exposure, as well as the optimal frame vibration treatment scheme. The paper proposes an original scheme for straightening the body frame of electric locomotives in production environment. It is indicated that in order to minimize the forces of static bending, it is necessary to suspend the frame under constraints and move the vibrator(-s) along the length of the frame, dividing it into approximately 3 equal parts. To work out the straightening technology, it is proposed to use PXI Platform equipment with the LabVIEW application. The cost of the straightening operation can be reduced by at least 20%, which will affect the cost of the electric locomotive as a whole.
Analytical Assessment of Valve Throughput Coefficient
Authors: Karakulov M.N. , Holova I.I. , Holov A.D.
Published: May 2023

The current level of industry development for the gas and oil production of equipment requires the development of engineering methods for calculating the hydraulic characteristics of manufactured products. Due to the complexity of the designs of distribution and control units for oil and gas transportation networks, the hydraulic characteristics of their control components increasingly affect the performance of regulation. In the construction of distribution and control units, pipeline fittings are used, in particular, wedge gate valves and shut-off valves. One of the main hydraulic characteristics of these products is the throughput, which is assessed by the throughput coefficient. Therefore, now the design engineer needs simple and accurate methods to determine the theoretical value of the throughput coefficient at the design stages of the product. The throughput is related to the hydraulic resistance of the passage part of the pipeline fittings, because it affects the level of pressure reduction when fluid moves from the inlet to the outlet of the product. There are methods for determining local hydraulic resistance caused by a change in the geometry of the passageway, based on the Weisbach formula and empirically determined local resistance coefficients. Engineering methods are proposed for determining the throughput coefficient of two types of pipeline fittings - a wedge valve and a shut-off valve. The methods are based on a well-established approach, expressed in the use of the connection of the throughput with a set of local hydraulic resistances that arise in the path of the working medium. The methods use information about the values of local hydraulic resistance values obtained empirically with the possibility of their approximation to obtain intermediate values of these indicators. The geometric features of the passage channels of the products under consideration are taken into account. They are compared with the existing nomenclature of information about the values of the coefficients of local hydraulic resistance. The proposed methods make it possible to reduce the time for carrying out calculations with obtaining a result whose accuracy is sufficient for use in engineering calculations. Expressions are obtained that allow determining the values of the throughput coefficient of the wedge gate valve and the shut-off valve, taking into account the geometric features and the relative position of the flow sections of pipeline valves, as well as the physical properties of the working medium.
Using Hybrid Wind-Solar Power Systems for the Al-Najaf City in Iraq
Authors: Abdali L.M. , Al-Maliki M.N. , Ali Q.A. , Yakimovich B.A. , Korovkin N.V. , Kuvshinov V.V. , Solomennikova S.I.
Published: May 2023

The findings of a study of a combined wind-photovoltaic installation for use in the Najaf governorate’s energy sector are presented in this article. The suggested hybrid system is for serving community customers in Iraq, as well as for the country's energy sector. Iraqi consumers are constantly short of electricity, and the proposed approach of combining solar and solar installations to generate energy will assist to alleviate this problem. In the presented studies, the authors show a total increase in the efficiency of the mini-energy complex due to the combined generation of electric energy by converting the wind flow and solar radiation. This work is devoted to the analysis and modeling of a small autonomous hybrid wind-photo-energy system. The paper presents a simulation of the operation of a wind power installation. During the study, parameters such as the angle of inclination, rotor diameter, wind speed, etc. are taken into account. The photovoltaic installation is simulated under realistic conditions, such as silicon cell temperature, sun insolation, and so on. The MATLAB computer program was used to solve mathematical models of small horizontal axes of wind turbines and solar systems. An experiment was conducted with low-power installations. The findings reveal that when hybrid wind-solar systems are used to power Iraq's energy complex, the total output of the hybrid installation increases dramatically. Furthermore, the output of electric energy from wind and solar installations varies throughout the year. During summer months, mainly photovoltaic batteries operate, while in winter months, wind turbines make the main contribution to the generation. As a result, the joint work of wind and solar installations to generate electrical energy helps to establish a more uniform generation throughout the year.
Radio Resource Allocation for 5g Network using Deep Reinforcement Learning
Authors: K Santhosh , N Sushil Kumar G , G Umesh R , S Suraksha M , V Dr. Praveen Kumar K
Published: May 2023

Abstract: 5G is poised to support new emerging service types that help in the realization of futuristic applications. These services include enhanced Mobile BroadBand (eMBB), ultra-Reliable Low Latency Communication (uRLLC), and massive MachineType Communication (mMTC). 5G New Radio (NR) is envisioned to efficiently support ultra-reliable low-latency communication (URLLC) for new services and application with high reliability, availability and low latency such as factory automation and autonomous vehicles. 5G promises massive increases in traffic volume and data rates. Next generation wireless networks are expected to be extremely complex due to their massive heterogeneity in terms of the types of network architectures they incorporate, the types and numbers of smart IoT devices they serve, and the types of emerging applications they support. In such large-scale and, radio resource allocation and management (RRAM) becomes one of the major challenges encountered during system design and deployment. In this context, emerging Deep Reinforcement Learning (DRL) techniques are expected to be one of the main enabling technologies to address the RRAM in future wireless networks. The paper provides a detailed analysis of the impact of various parameters on the system performance, including the number of users, the signal-tointerference-plus-noise ratio, and. The proposed approach has the potential to significantly improve the performance of 5G networks and enable new applications and services that require high data rates, low latency, and reliable communication. We propose an algorithm for data bearers in millimeter wave (mmWave) frequency band.
Business Support System for Local Stores
Authors: Reddy R Shiva Prasad , Lohitha B , K Raghavendra Reddy , Kumar S Shailesh
Published: May 2023

Abstract: Business support system for local store, promotes the purchase of products that are available in local store. During the pandemic customers became more habituated towards e-commerce sites than local stores. This web application gives an opportunity to local stores that can publish and sell their products through online platform and connects the registered local store to people which contains local store details. It boosts and helps the local store to expand their distribution and also increase their sales. This web application enable connection between the people and local store in efficient manner. Motive is to inspire, encourage and enable the remaining vast majority of small business to step into the online world.
Banana Crop Disease Detection Using Deep Learning Approach
Authors: Jadhav Swamiraj , Gandhi Sahil , Joshi Parth , Choudhary Vedant , Walunjkar Sachin
Published: May 2023

Abstract: India is primarily an agricultural country where a significant portion of the population depends on agriculture for their livelihood. However, plant diseases are a major issue for farmers, hindering their efforts to cultivate crops. Delayed detection of diseases can result in a significant loss of yield and income for farmers. To mitigate these negative impacts, we have created a project that utilizes machine learning and deep learning techniques such as image processing and Convolutional Neural Networks to detect various diseases in banana plants. Our machine learning model enables early detection of diseases, which can help minimize the loss of yield and enable farmers to take necessary preventive measures to halt the spread of diseases in their crops
A Review of Different Types of Battery Cooling Systems in Electric Vehicles
Authors: Kakade Niraj
Published: May 2023

Abstract: Electric vehicles (EVs) are becoming increasingly popular as they are more environmentally friendly than conventional vehicles. However, to ensure the longevity and efficiency of the EV batteries, a battery thermal management system (BTMS) is crucial. The temperature of the battery affects various aspects of its operation, including its performance, reliability, and life cycle cost. Therefore, it is essential to keep the battery temperature between 15°C to 35°C. This paper reviews different types of cooling systems used in lithium-ion batteries, including air cooling, liquid cooling, phase change material (PCM), heat pipe, thermo-electric module, and direct refrigerant cooling system. Depending on the conditions and requirements, a single or a combination of these cooling methods may be used. The paper also presents two of the most efficient BTMS. The study aims to help researchers choose the most effective cooling method for their EVs.
Case Study: Demonstrative Model of Pick & Place Material Handling System for Workstations
Authors: Kulkarni Prof. A. M. , Mustak Mr. Pathan Shanavaj , Jadhav Aditya Rajendra , Prakash Pustake Prathamesh , Ajit Suryawanshi Sanket
Published: May 2023

Abstract: Semiautomatic Electric Overhead Travelling (EOT) Crane is one of the essential industrial equipment for material handling job. In recent years little attention has been paid to the optimal design of Heavy Electric Overhead Travelling Crane Bridges. Most of the crane manufacturers have standardized the single dimensioned box section for multiple spans and duties of Crane Bridges for manufacturing simplicity. Owing to the recent upward trend in the price of structural materials not to mention the demanding dimensions of heavy-duty crane box girders, utilization of modern design optimization tools is inevitable. This project demonstrates design optimization of EOT crane industrial box subjected to rolling loads. A simple and innovative procedure has been introduced to use for optimization of various parameters of the loading and travelling parameters. In this case study we have tried to develop a model of overhead pick and place semiautomatic mechanism.
Fund Future: Empowering the Crowdfunding
Authors: Jadhav Prof. Rupali , Gawali Sakshi , Khutwad Ankita
Published: May 2023

Abstract: This project uses blockchain technology to suggest a workaround for the drawbacks of conventional crowdfunding sites. The suggested platform, "Fund Future," is a decentralised platform for crowdfunding that enables people and organisations to raise money for their projects directly from their supporters. The platform is based on the Ethereum blockchain, which enables smart contracts to carry out the crowdfunding campaign's policies and processes automatically. The platform offers a clear, safe, and effective method of fundraising, making sure that money is delivered properly to the project developers. The project seeks to address the issues that traditional crowdfunding platforms have, like high fees, fraud, and a lack of transparency. With blockchain technology becoming more popular, Fund Future has the potential to completely transform the crowdfunding market.
DEVELOPMENT OF PBL E-MODULES ON POLYHEDRON CONSTRUCTIONS FOR GEOMETRICAL THINKING ABILITY
Authors: Dwi Rahayu Felia , Mawarsari Venissa Dian , Suprapto Rohmat
Published: May 2023

This research aimed to address the issue of low geometry proficiency among students and the lack of teaching materials and assess the validity and practicality of utilizing PBL e-modules as a teaching aid. The research employed the ADDIE model as a development method. To assess the e-module's validity, three media and three material experts were consulted. The material expert evaluation yielded a score of 3.60, while the media expert evaluation yielded a score of 3.29, indicating that the media and material of the e-module are valid for use as teaching materials. Furthermore, a small class trial involving ten students demonstrated a practicality score of 3.35, signifying highly practical results. The field test resulted in a score of 3.25, indicating that the PBL e-module is practical. The teacher's response yielded a score of 3.74, indicating that it is practical. Consequently, the PBL e-modules developed for the geometric material on polyhedron thinking skills are valid and practical, making them suitable as teaching materials in the learning process.
The Influence of Inclusive Leadership on Team Performance in The Entrepreneurial Context
Authors: Xu Hanzhi , Yang Chunlin , Sun Jianjun
Published: May 2023

Promoting entrepreneurial team performance has been an important research topic for scholars. However, the relationship between inclusive leadership and entrepreneurial team performance has rarely been studied. This study constructed a model to uncover the mechanism by which inclusive
leadership affects entrepreneurial team performance. The empirical results revealed that inclusive leadership was positively related to entrepreneurial team performance. Inclusive leadership positively predicted team engagement and inclusive climate, which, in turn, facilitated team feedback
seeking and ultimately enhanced entrepreneurial team performance. Moreover, leader team representativeness strengthened the positive relationship between inclusive leadership and team engagement. The theoretical implications are that inclusive leadership is essential in promoting members'
engagement and inclusive climate for better performance, which provides more comprehensive insight into entrepreneurship literature. The practical implications are that greater attention should be paid to cultivating inclusive leadership.
Influence of Gamification on User Loyalty Toward Mobile Applications
Authors: Tian Zemin
Published: May 2023

Competition for use of different mobile applications (apps) is intense. How to improve user loyalty to mobile apps is an urgent issue for enterprises to solve. Gamification has become an important means of attracting users' attention to apps. In this study 357 participants completed
a questionnaire assessing human–computer interaction, interpersonal interaction, perceived playfulness, user loyalty, and involvement with reference to the payment app Alipay and the game within it, . Structural equation modeling was performed and the results showed that both human–computer
interaction and interpersonal interaction promoted perceived playfulness, which contributed to user loyalty. Finally, involvement played a positive role in the relationship between perceived playfulness and user loyalty.
Kewajiban Penyegeraan Pendaftaran Haji: Kajian Fatwa Majelis Ulama Indonesia Nomor 5 Tahun 2020
Authors: M. Jakfar Tarmizi , Mulia Muji , Yusrizal Yusrizal
Published: May 2023

Based on information from Susenas 2017, there are about 13 million Indonesian Muslims who are already economically well-off for the hajj list, but do not register for the hajj. In response to this, MUI has issued a fatwa for people aged 60 to register immediately, worried about running out of fees and making up hajj and MUI stipulates that it is forbidden for them to delay. The research questions are: how is MUI's consideration in determining the obligation to immediately register for hajj for those who meet the criteria and how is MUI's consideration in determining the prohibition of delaying for those who meet the criteria. This research is classified as a type of qualitative research and is included in the normative study and the process of collecting data using the literature method is then analyzed with a descriptive analysis approach. The results found are that it is mandatory for people aged 60 years to register for Hajj immediately because of the hadith that states the average age of the Prophet Muhammad's people is 60-70 years, while the waiting period for departure is very long, for people who are worried about running out of money because it is analogous to the obligation to leave on Friday. at, and for qada hajj because there is a consensus of friends. As for the consideration of the prohibition of postponing the age of 60 because it is a sin to neglect worship, for people who are worried about running out of hajj fees because they violate the law from the results of analogies and for those who make up qada because they consider the consensus of friends.
FATORES DETERMINANTES DA POLIFARMÁCIA ENTRE IDOSOS RESIDENTES EM UM GRANDE CENTRO URBANO DA REGIÃO SUDESTE DO BRASIL
Authors: Mercadante Ana Claudia Costa , Conti Mônica de Souza Brito , Wagner Gabriela Arantes , Andreoni Solange , Ramos Luiz Roberto
Published: May 2023

Os idosos frequentemente utilizam diversos medicamentos concomitantemente, que podem prejudicar sua qualidade de vida, causando mais danos do que benefícios. O artigo visou investigar a prevalência de polifarmácia em idosos residentes em um grande centro urbano e sua associação com doenças crônicas, perdas funcionais, indicadores demográficos e socioeconômicos. Realizou-se um estudo transversal de uma coorte de 1002 idosos na cidade de São Paulo, em 2008, com idade igual ou superior a 60 anos. Verificou-se a associação entre a polifarmácia e as variáveis independentes, utilizando modelos de regressão logística com abordagem hierárquica, adotando significância de 5%. A maioria dos idosos eram mulheres (67,2%), média de idade de 73 anos, apresentavam de quatro a sete doenças crônicas (38,5), faziam uso de 4,8 medicamentos (DP 3,0) e 50,0% praticavam polifarmácia. Associações estatisticamente significativas para polifarmácia foram identificadas: sexo feminino; não exercer atividade remunerada; com quatro a sete doenças crônicas e sete ou mais atividades de vida diária comprometidas. Nota-se que a identificação dos fatores associados à prática da polifarmácia é imprescindível para a promoção de uma abordagem multiprofissional com ações integradas e humanizadas na atenção à saúde do idoso, incluindo o uso racional de medicamentos e o monitoramento da polifarmácia em idosos.
Combined Forecasts of Intermittent Demand for Stock-keeping Units (SKUs)
Authors: İkiz Aysun Kapucugil , Utma Gizem Halil
Published: May 2023

Effective inventory management requires accurate forecasts for stock-keeping units (SKUs), especially for the strategic ones for companies’ operations and after-sales services like providing spare parts. Forecasting is a challenging task for such SKUs as they usually have intermittent demand (ID) patterns, consisting of many periods with zero demand and infrequent demand arrivals. Given the highly uncertain nature of ID for SKUs, this study developed a methodological framework for combining statistical and judgmental forecasts and assessed the performance of the proposed framework by using accuracy and bias measures. The forecasting process has several steps, including data preparation, data categorization based on demand patterns, generating statistical and judgmental forecasts, combining statistical and judgmental forecasts, and evaluating the forecast performance. These steps were illustrated on a real-world dataset that contains monthly customer demand data for after-sales spare parts. Results showed that combination is the best method for the majority of SKUs. This paper contributes to the limited literature by addressing the gap between the combined and ID forecasts. The proposed framework gives practitioners and researchers a comprehensive overview to help them make more accurate forecasts while encouraging the use of simple but structured approaches.
Analysis of Dynamic Connectedness among Sovereign CDS Premia
Authors: Ceylan Özcan
Published: May 2023

This paper studies the dynamics of spillovers between sovereign Credit Default Swap (CDS) premia of nine countries, including Turkey, Russia, Brazil, South Africa, China, Germany, France, Italy and Spain. Weekly CDS data spans from July 2012 through June 2022. Adopting the methodology developed by Diebold & Yılmaz (2014), several connectedness measures are computed based on generalized forecast error variance decompositions generated through a time-varying parameter vector autoregressive model (TVP-VAR). The results show that the network’s connectedness level increased significantly during the COVID-19 outbreak and the Ukrainian war. Higher connectedness levels among European markets and developing countries are observed. Especially the connectedness levels between South Africa and other developing countries are remarkably high. The results reveal both fundamental-based and pure contagion channels and provide insight into the dynamic network of risk spillovers. A thorough understanding of international risk transmission channels is crucial for policy-makers and global investors regarding risk mitigation.
Financial Globalization and Growth: The Impacts of Financial Development and Governance
Authors: Taşdemir Fatma
Published: May 2023

The conventional theory suggests that financial globalization encourages growth. The empirical literature, however, does not give convincing support for the theoretical benefits of financial globalization. This paper investigates the relationship between financial globalization and growth in a sample of 33 emerging market economies during the 1995-2019 period by considering both de facto and de jure measures of financial globalization. We first study the direct effect of financial globalization on growth. Then, we focus on whether the growth impact of financial globalization is conditional on the level of financial development and governance. Our two-step system GMM estimation results suggest that both financial globalization measures tend to lower growth, albeit this negative relationship mitigates after the global financial crisis. Our empirical findings also indicate that the negative growth impact of financial globalization diminishes with the high levels of financial development and governance. The results indicate that investing and upgrading the collateral environment cause higher growth and mitigate the negative growth impact of financial globalization.
OPTICAL, THERMAL, AND EXERGETIC PERFORMANCE OF A NOVEL SPHERICAL SOLAR CONCENTRATOR WITH DIFFERENT CAVITY RECEIVER SHAPES
Authors: Jadir Saud Al
Published: May 2023

While a variety of solar concentrators have been studied for decades,
the study of the spherical glass concentrator has never been reported,
to the best of our knowledge. For that, this paper examines the optical
characteristics of the novel solar spherical glass concentrator and
identifies its performance and features. In addition, the thermal and
exergetic performance of the concentrator are studied with three cavity
receiver designs under various operating temperatures and different mass
flow rates. More specifically, the examined receiver shapes: spiral,
conical, and cylindrical. All the cavities are analyzed in order to
determine the best design which maximizes the thermal efficiency of the
solar collector. According to the results, the spherical collector can
concentrate the heat flux up to 25 times the incident flux value. Also,
the study is defined the best receiver dimensions that achieve optimum
optical performance. Then, the optical analysis is conducted with an
optical simulation in COMSOL Ray Optics to validate this work’s
findings. Moreover, the best design is found to be the one with a spiral
shape, while the conical is the next choice. The cylindrical is the
third design in the performance sequence.