bluuebunny/crossref_metadata_2025 huggingface dataset:
Cartilha prevenção ao suicídio. Como ajudar? A vida é a melhor escolha
Authors: Silva Antonio Geraldo da , Santos Brenda Ali Gomes Leal dos , Santos Simone Paes dos
Published: March 2023

A Associação Brasileira de Psiquiatria – ABP e o Conselho Federal de Medicina – CFM divulgam a Campanha Setembro Amarelo ® pelo Brasil inteiro, mas ainda existe muita dúvida e tabu sobre o tema. Por isso, fizemos essa cartilha para ajudar quem precisa e tem dúvidas. Se você está passando por algum momento difícil, com ideação suicida, nós estamos aqui para dizer que temtratamento e solução e se você conhece alguém que está passando por isso, leia a nossa cartilha e veja como ajudar. O suicídio pode ser prevenido e a vida voltar a fazer sentido. Lembre-se: A vida é a melhor escolha. Cuide-se!
Bullying não é brincadeira: delete essa ideia!
Authors: Silva Antonio Geraldo , Assumpção Junior Francisco Baptista
Published: March 2023

A Associação Brasileira de Psiquiatria – ABP fez essa cartilha com o objetivo de contribuir com iniciativas educacionais que visam a orientação de crianças e adolescentes contra o Bullying e o Cyberbullying. Sabe-se que educadores e responsáveis enfrentam esse grande desafio e, por isso, criamos dicas para ajudá-los nesse processo. No atendimento clínico, encontramos relatos dessa violência nas escolas e, também nas redes sociais. Essas práticas podem trazer consequências para a saúde mental desses jovens a curto, médio e a longo prazo. Vamos entender o que é o Bullying, como prevenir, combater e como cuidar das crianças e adolescentes que sofrem e praticam essas agressões.
SPATIAL PLANNING IN SUPPORTING VILLAGE DEVELOPMENT
Authors: Rendra Meldi , Estananto Estananto
Published: March 2023

Planning degrees have been focusing on rural studies, which make the best planning system for prevailing social welfare in villages. While village governments know development studies by demographic data in tabulation to evaluate/design the planning policies better or not. Different rural study models have been enriched and implemented in the past time. We use GIS to prove planning measures to be effective in rural governance to expand the decision-making process in planning policies. The participation/action research experienced a targeted planning policy in Covid 19 at Langensari-Lembang, Indonesia, found a method of static to dynamic, aggregated to disaggregated, and macro to micro. The results can visualize planning support in general solutions to specific adjustments of some public goods. Covid 19- suitable indicator schemes can design in isolated areas. Targets are how population aggregation and household mobilities in rural areas are affected by these planning policies. We believe action research improvements will employ a practical future on big data and artificial intelligence.

Keyword: Spatial Planning, GIS, Decision Making
CHEMICAL CHARACTERISTICS OF RICE ANALOGS OF CASSAVA WITH THE ADDITION OF A MIXTURE OF PURPLE SWEET POTATO FLOUR AND SAGO FLOUR
Authors: Putri Pidata Gina , Novelina Novelina , Asben Alfi
Published: March 2023

This study aims to study the effect of adding a mixture of sago flour and purple sweet potato flour on various levels of physical and chemical characteristics of the resulting analogue rice. The results showed that the addition of purple sweet potato flour and sago flour had a significant effect on the analysis of fat content, protein content, antioxidant activity, and amylose content while it had no significant effect on water content, ash content. The best product based on the organoleptic test of analog rice was analog rice product in treatment A (45% addition of sweet potato flour and 5% sago flour). The results of the analysis of treatment A (addition of 45% purple sweet potato flour and 5% sago flour) are 6.51% water content, 1.17% ash content, 1.11% fat content, 3.55% protein content, antioxidant activity 23 ,43%, amylose content 30.92%, gelatinization temperature of 70.4 ° C.
ORGANOLEPTIK TEST EFFERVESCENT POWDER PULAI LEAVES (Alstonia scholaris (L.) R.BR.
Authors: Wulansari Dian , Rahmi Silvi Leila , Fiardilla Fauziah , Ningsih S.
Published: March 2023

This study aims to determine the effect of the comparison of citric acid-tartaric acid on the characteristics of effervescent powder of pulai leaves (alstonia scholaris). This research was conducted using a completely randomized design (crd). Each treatment was repeated 4 times to obtain 20 units of trial. The ratio of citric acid-tartaric acid significantly affected organoleptic properties of effervescent effect, sparkle effect, and overall acceptance. The results showed that the comparison of citric acid-tartaric acid 1:2 treatment yielded the best treatment with effervescent effect 4.56 (gas formed), sparkle 3,84 (somewhat soda effect), color 3.20 (somewhat like), overall acceptance of 3.12 (somewhat like), and plural comparisons of 4.08 (as good as the R)
Pengembangan Aplikasi Administrasi Pembayaran SPP Di Ponpes Al-Hidayat Ginuk Karas-Magetan
Authors: Kholifahudin M
Published: March 2023

Ponpes Al-Hidayat merupakan organisasi nirlaba yang bergerak pada bidang pendidikan dan keagamaan. Setiap bulannya, organisasi ini mengharuskan siswanya untuk membayar SPP. Namun dikarenakan masih menggunakan metode manual dalam mencatat data pembayaran bersamaan dengan jumlah siswa yang semakin bertambah banyak, membuat pihak yayasan kesulitan dalam mengelola data pembayaran dengan baik dan terstruktur. Dari permasalahan tersebut, kemudian memunculkan suatu gagasan baru, untuk mengembangkan aplikasi administrasi pembayaran SPP dengan tujuan dapat membantu dan memudahkan pihak yayasan dalam mengelola data pembayaran dengan lebih cepat dan efisien. Aplikasi dibangun menggunakan beberapa bahasa pemrograman diantaranya, HTML, PHP, Java Script dan Ajax. Menggunakan CSS untuk desain antar muka serta menggunakan MySQL sebagai tempat penyimpanan databasenya. Metode yang digunakan dalam pengembangan aplikasi administrasi pembayaran SPP yaitu menggunakan metode pengembangan Extreme Programming (XP). Untuk menguji fungsionalitas dari perangkat lunak yang dikembangkan yaitu menggunakan metode pengujian black box testing. Hasil akhir dari penelitian ini adalah dirancangnya sebuah aplikasi administrasi pembayaran SPP berbasis website.

 
Kata kunci: Aplikasi, Pembayaran, Extreme programming
Bulk, one step generation of single-core double emulsions from polymer-osmose-induced aqueous phase separation in polar oil droplets
Authors: Douliez Jean-Paul , Saint Jalmes Arnaud
Published: March 2023

Double water-in-oil-in-water (W/O/W) emulsions are aqueous droplet(s) embedded within oil droplets dispersed in a continuous water phase. They are exploited for many applications from cosmetic to food science since both hydrosoluble and liposoluble cargos can be encapsulated within. They are generally prepared using a one-step or a two-step method, phase inversion and also via spontaneous emulsification. Here, we describe a general and simple one-step method based on hydrophilic polymers dispersed in polar oils to generate osmose-induced diffusion of water into oil droplets, forming polymer-rich aqueous droplet within. Polyethylene glycol (PEG), but also other hydrophilic polymers (branched polyethylene imine, bPEI, or polyvinyl pyrrolidone, PVPone) were successfully dispersed in 1-octanol or other polar oils (oleic acid or tributyrin) to produce an O/W emulsion that spontaneously transformed into a W1/O/W2 emulsion, with the inner aqueous droplet (W1) enriched with the hydrophilic polymer (PEG, bPEI or PVPone). Dispersion of hydrosoluble dyes in the oil/polymer mixture in the form of a W/O microemulsion further allowed their encapsulation within the internal W1 aqueous droplet of the double emulsion. Single drop experiments, as well as macroscopic viscosity measurements, confirm that the double emulsion is actually the result of water diffusion, which amplitude can be adjusted by the polymer concentration. Production of high internal phase emulsions (HIPE) was also achieved together with a pH-induced transition from multiple to single core double emulsion. We expect this new method for producing double emulsions to find applications in domains of microencapsulation and materials chemistry.
An interoperable implementation of collective-variable based enhanced sampling methods in extended phase space within the OpenMM package
Authors: Bajpai Shitanshu , Petkov Brian , Tong Muchen , Abreu Charlles , Nair Nisanth , Tuckerman Mark
Published: March 2023

Collective variable (CV)-based enhanced sampling tech- niques are widely used today for accelerating barrier- crossing events in molecular simulations. A class of these methods, which includes Temperature Accelerated Molecu- lar Dynamics (TAMD)/driven-Adiabatic Free Energy Dy- namics (d-AFED), Unified Free Energy Dynamics (UFED), and Temperature Accelerated Sliced Sampling (TASS), use a unique extended variable formalism to achieve quick explo- ration of conformational space. These techniques are pow- erful, as they permit the simultaneous sampling of a large number of CVs compared to other techniques. Extended variables are kept at a much higher temperature than the physical temperature by ensuring adiabatic separation be- tween the extended and physical subsystems and employ- ing rigorous thermostatting. In this work, we present a computational platform to perform extended CV-based en- hanced sampling simulations using the open-source molec- ular dynamics engine OpenMM. The implementation allows users to have interoperability of sampling techniques, as well as employ state-of-the-art thermostats and multiple time- stepping. This work also presents protocols for determining the critical parameters and procedures for reconstructing high-dimensional free energy surfaces. As a demonstration, we present simulation results on the high dimensional con- formational landscapes of the alanine tripeptide in vacuo, tetra-N-methylglycine (tetra-sarcosine) peptoid in implicit solvent, and the Trp-cage mini protein in explicit water.
Halide Non-Innocence and Direct Photo-Reduction of Ni(II) Enables Coupling of Aryl Chlorides in Dual Catalytic, Carbon-Heteroatom Bond Forming Reactions
Authors: Chrisman Cameron , Kudisch Max , Puffer Katherine , Stewart Trevor , Lamb Yisrael , Lim Chern-Hooi , Escobar Randolph , Thordarson Pall , Johannes Jeffrey , Miyake Garret
Published: March 2023

Recent mechanistic studies of dual photoredox/Ni-catalyzed, light-driven cross-coupling reactions have found that the photocatalyst (PC) operates through either reductive quenching or energy transfer cycles. To date, reports invoking oxidative quenching cycles are comparatively rare and direct observation of such a quenching event has not been reported. However, when PCs with highly reducing excited states are used (e.g. Ir(ppy)3), photo-reduction of Ni(II) to Ni(I) is thermodynamically feasible. Recently, a unified reaction system using Ir(ppy)3 was developed for forming C–O, C–N, and C–S bonds under the same conditions, a prospect that is challenging with PCs that can photo-oxidize these nucleophiles. Herein, in a detailed mechanistic study of this system, we observe oxidative quenching of the PC (Ir(ppy)3 or a phenoxazine) via nanosecond transient absorption spectroscopy. Speciation studies support that a mixture of Ni-bipyridine complexes form under the reaction conditions, and the rate constant for photoreduction increases when more than one ligand is bound. Oxidative addition of an aryl iodide was observed indirectly via oxidation of the resulting iodide by Ir(IV)(ppy)3. Intriguingly, persistence of the Ir(IV)/Ni(I) ion pair formed in the oxidative quenching step was found to be necessary to simulate the observed kinetics. Both bromide and iodide anions were found to reduce the oxidized form of the PC back to its neutral state. These mechanistic insights inspired the addition of a chloride salt additive, which was found to alter Ni speciation, leading to a 36-fold increase in the initial turnover frequency, enabling the coupling of aryl chlorides.
Artificial intelligence role in identifying paralysis with paralysis prediction and monitoring model
Authors: Vemuri Bharath Kumar , Govardhana Giridhari Narayana Sri Ranga , Mary Sujatha
Published: March 2023

Computer vision, autonomous driving, natural language processing, and speech recognition are just a few of the industrial and research disciplines that are being transformed by Artificial Intelligence (AI) and Machine Learning (ML) approaches. The availability of automated solutions may improve the precision and reproducibility of the execution of crucial activities in a variety of sectors, including radiology, diagnostics, and many others, where it is already having a significant impact. Paralysis occurs when people are unable to make voluntary muscle movements. Paralysis is caused by a problem with the nervous system. This paper focuses on the study of the contribution of Artificial Intelligence in identifying paralysis and explores the idea of building a Paralysis Prediction and Monitoring Model (PPAMM) with the help of AI and ML techniques. It is used to determine the frequency of nerve stimulation in the affected region as well as monitor the stimulus and paralysis-precipitating factors.
Conveyor belt regulator through silo operation
Authors: Abdullah Mohammed Salim Al-Hakmani , Ch. Venkateswara Rao , Sampath Kumar B. , Mohammed Junaid Mouda , Sayath Birose
Published: March 2023

Conveyor belts are used in industries such as electro-mechanical and mechanical assembly to transfer goods from one position to another or from one procedure to another. In coal mining industries, controlling the speed of a conveyor can be achieved by controlling the speed of its drive unit. The Programmable Logic Controller (PLC's) commonly used programming language has the trapezoidal chart language, Ladder Diagram (LD), the Smooth Functional Diagram (SFC), and the Function Block Language (FBD). The four-level leather belt conveyer control system belongs to the model of sequential control and therefore mainly uses the SFC to program. A Programmable Logic Controller (PLC) is used to implement the control strategy. A PLC is a microprocessor-based control device with the original drive of complementing relay logic. The latest PLCs have progressed past just a robust stage into a new realm of high computational control and processor speediness. These, along with the PLC's extremely elastic arrangement, make it an ideal stage for uses far beyond its conventional ones. The main aim of this paper is to design a PLC conveyor belt control system for silo operation that has three various modes, namely continuous mode, manual mode, and fill by pass mode. The conveyor belt plays a very effective role as it reduces the time required to complete a large amount of work and increases productivity with high efficiency. It also saves money and costs, reduces the required manpower, is characterized by ease of maintenance and handling, and offers many other benefits.
A rigorous approach to microprocessor verification using UVM
Authors: Bindu A.
Published: March 2023

In today's fast-paced technology industry, microprocessors play an increasingly important role in a wide range of applications. However, verifying the correctness of complex microprocessor designs remains a significant challenge. To address this issue, a rigorous approach to microprocessor verification using the Universal Verification Methodology (UVM) is proposed. UVM provides a standardised and scalable approach to verifying digital designs, including microprocessors, and has been widely adopted in the industry. This research proposes a UVM-based verification framework for microprocessors that can identify and eliminate design errors early in the development cycle. The proposed approach covers functional verification, performance verification, and hardware-software co-verification. The effectiveness of the proposed approach is evaluated through a case study of a commercial microprocessor design, where the UVM-based verification framework successfully detected and resolved several design bugs. The results demonstrate the potential of the proposed rigorous approach to microprocessor verification using UVM to enhance the quality and reliability of microprocessor designs.
Applications and Security Aspects of Internet of Things for Way of Smart World
Authors: Muhammad Fawaz M.
Published: March 2023

The Internet of Things (IoT) is the interconnection of computing devices embedded in everyday objects, enabling them to send and receive data over the Internet. IoT is an advanced, futuristic, and disruptive technology. IoT describes a network of physical objects or "things" that are embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the Internet. It reduces computation costs through improved process efficiency, asset utilization, and productivity for any organization. The growth and convergence of data, processes, and things on the Internet would make such connections more relevant and important, creating more opportunities for people, businesses, and industries. This article only deals with the security of the IoT and some smart applications. Nowadays many of the devices are linked to smart technologies like IoT or AI. The two closest examples of IoT are the watch in our hand and the mobile phone. One of the goals of smart environments is to improve the quality of human life in terms of comfort and efficiency. The IoT paradigm has already evolved into a technology for building smart environments. Security and privacy are considered as key issues in any real-world smart environment aging based on the IoT model. Security vulnerabilities in IoT-based systems create security threats that affect smart environment applications.
Designed, conducted and implemented training module for key employees in biotechnology industry
Authors: Amit Kumar
Published: March 2023

In Biotechnology industry, training is the only way to nourish the scientific and technical skills of the key employees. There are numerous ways to train the employees through theoretical and practical knowledge-based training modules for Inhouse training, On-job training, task-specific training, hands-on training, external training, refresh training, combined Inhouse and On-job training, etc. The Training Cycle is a part of training that plays a crucial role in designing, conducting, and implementing exclusive and customized training modules. It contains various steps, such as identifying deficiencies, designing inputs and outputs, and identifying the learning strategy and effectiveness of the training module, and should be evaluated through a simple grading method. Based on the available literature, trainees can improve their subject knowledge through successive training sessions. In the pandemic spreading of COVID-19, the author has an opinion on how to design and execute their training modules effectively for upgrading the scientific and technical skills of key employees in biotechnology industries like production and quality control departments. Therefore, it is suggested that they may design, conduct, and implement their developed and customized training modules for the key employees of the production and quality control departments of any biotech industry. The industries can use these training modules effectively, as described in this article. It can also be a versatile tool for developing exclusive, customized, and effective training modules.
A critical analysis on role of nanoparticles in oil-well cementation
Authors: Ashish Aggarwal
Published: March 2023

The main objectives of oil-well cementing are to restrict the movement of fluids from one zone to another and to provide a stable position for the casing string. Achieving greater compressive strength, tensile strength, and lower permeability are the main features for increasing the effectiveness of cement jobs. The conventional cementing job lacks the ability to attain these properties even with the usage of advanced materials like self-healing agents, fibers, and polymeric materials in cement slurry. However, a scope of improvement is required in providing better zonal isolation. According to studies, the inclusion of nanoparticles would improve cement efficiency by achieving sufficient compressive strength and durability, reducing potential maintenance costs and environmental effects. With the addition of nanoparticles to cement, slurry increases compressive strength, decreases settling time, and increases density by reducing the porosity and permeability of the cement sheath. This study provides an explanation of the alterations in oil-well cement properties with the addition of nanaparticles at different temperatures and incubation periods.
HydroZen: The smart water tank system with advanced monitoring and automated refilling
Authors: Z. Ananth Angel
Published: March 2023

The HydroZen smart water tank system is a modern solution for managing water supply in households and other smallscale settings. It uses sensors and Internet of Things (IoT) technology to monitor the water level and quality in real time and provides users with up-to-date information through a user-friendly mobile application. The system also incorporates automated refilling and flushing processes to ensure that the water remains at an acceptable level and quality. With its simple installation and user-friendly interface, the HydroZen smart water tank system offers an efficient and convenient way to manage water supply and promote responsible water usage.
A review on music recommendations based on facial expression
Authors: Yash Kale , Sandeep Maurya , Anisha Prajapati
Published: March 2023

Deciding which music to listen to from the huge collection of existing options is often confusing. Depending on the user's mood, multiple suggestion frames are available for topics such as music, food, and shopping. The main purpose of this music recommendation system is to provide users with suggestions based on users' tastes. By analysing the user's facial expressions and emotions, it is possible to understand the user's current emotional and psychological state. Music and video are areas where there is a great opportunity to offer customers a wide range of choices, taking into account customer preferences and recorded information. It is well known that people use facial expressions to more clearly expresses what they want to say and the context of the words. More than 60% of the users believe that the song library has too many songs at any given time to find the one that needs to be played. Developing a recommendation system could help users decide which music to listen to and reduce stress levels. Users do not have to waste time searching and searching for songs; it will recognize the track that best fits the user's mood and present the songs to the user according to the user's mood. Music plays a role in emotions, which in turn affects mood. Books, movies, and Television (TV) shows are a few more means, but unlike these, music conveys its message in pure moments. It can help us when people feel low. When people listen to sad songs, their mood tends to drop. When they listen to happy songs, it makes them feel happier. This music recommendation model will mainly work to improve the mood of the user by providing a detection track for the user's facial expression and recommending the preferred song according to the user's expression. User images are captured using webcams. A user's picture is taken, and depending on the user's mood or feeling, appropriate songs are displayed from the user's playlist to meet the user's requirements.
Equiprime Ideals and Equiprime Semimodules in Boolean Like Semirings
Authors: Bhagavathula Venkata Narayana Murthy
Published: March 2023

In this paper, the concepts of equiprime ideals and equiprime semi-modules in Boolean like semirings (now onwards denote ℜB) are introduced and illustrated with examples. It is established that if Ҏ is the equiprime ℜB–Ideal of the ℜB –module Ń then (Ҏ: Ń) is equiprime ideal of ℜB. Also it is approved that if Ń is an equiprime ℜB–module then (0: Ń) is an equiprime ideal of ℜB. Also, an important characterization of the equiprime ideal of ℜB in the semimodule structure over ℜB is put forward. Using this result, it can be proved that ℜB is equiprime if there exists a faithful equiprime ℜB–module Ń. Finally, it is proved that if Ń is an equiprime ℜB–module and Ϯ is an invariant subgroup of ℜB such that Ϯ is not contained in (0: Ń), then Ń is an equiprime Ϯ–module.
Mathematics Subject Classification: 16Y30, 16Y80.
Exploring the dimensions of value chain collaboration and its influence on circular economy, a mixed methods design perspective & future research potential at republic of malawi
Authors: A. V. Nageswara Rao , Ibrahim Shuaib
Published: March 2023

The present research study focuses on value chain collaboration and its effects on the circular economy among agriculture firms in the Republic of Malawi. The study lays emphasis on individualism, supplier relationships, trust, and supply chain integration dimensions of value chain collaboration. The study articulates the synergistic effects across the value chain from a mixed-methods design perspective. The study uses explanatory mixed methods design with Partial Least Squares (PLS) and Structural equation modeling approach, quantitative data of (n=140) with Thematic analysis of structured interviews to explain significance of value chain collaboration on Circular economy. SPSS 25 was used to perform the statistical analysis of the respondents' data. The quantitative and qualitative data findings provide valuable insights into the nuances of understanding value chain collaboration effects on achieving a circular economy. The study's findings provide invaluable insights and impetus to practitioners, policymakers, and consultants in the area of agriculture.
A review of polymer flooding for enhanced oil recovery
Authors: Dikshant Ruhil , Hardik Khandelwal , Harshit Rawat , Shanawar Aslam
Published: March 2023

Oil has a significant role as the principal source of energy in a society with rising energy demand. According to the annual report 2021 by Shelf Drilling (a leading provider of jack-up contract drilling services), the world oil consumption grew by 0.8 million barrels per day to reach almost 101 million barrels per day in the year 2019. Several other reports mention that the global crude oil output increased by 2.1 million barrels per day, or 2.3 percent, which is more than three times the global consumption. Additionally, the recent dramatic drop in oil prices compelled oil corporations to reconsider their production plans and cut costs in light of the dynamic oil price environment. While new oil sources are still being discovered and developed, enhanced oil recovery (EOR) methods are being used more frequently. In this review paper, the features of polymers utilized for EOR, including synthetic and natural polymers (biopolymers) are discussed. Also, the numerous EOR applications such as polymer flooding, polymer foam flooding, alkali–polymer flooding, surfactant–polymer flooding, alkali–surfactant polymer flooding, and polymeric nanofluid flooding are generalized and evaluated. With new advancements in the applications of polymeric nanofluid, it is capable of taking over the oil industry efficiently in polymer flooding for EOR. Additionally, due to their general macromolecular structure and viscoelastic characteristics, polymers are important in EOR.
Optimization of Adsorption Parameters for Lead (II) Removal from Wastewater using Box-Behnken Design
Authors: Krishna D. , Padma D. V. , D. R. Prasada Raju
Published: March 2023

The effective use of ragi husk powder for the removal of lead from waste water has been investigated. Influences of parameters like initial lead concentration (VI) (20-100 mg/L), pH (8-10), and adsorbent dosage (3-5 g/L) on lead adsorption were examined using Box Behnken Design (BBD) in response surface methodology. The BBD design in response surface methodology was used for designing the experiments as well as for full response surface estimation and 15 trials as per the model were run. The optimum conditions for optimum removal of lead from waste water of 20 mg/L were as follows: adsorbent dosage (4.1639 g/L), pH (9.0354) and initial lead concentration (21.7848 mg/L). The high correlation coefficient (R2 =0.996) between the model and the experimental data showed that the model was able to predict the removal of lead (VI) from waste water using ragi husk powder efficiently.
Revolutionizing hospital dietary with an android - based food automation system
Authors: Sheryl Radley , Jaya T.
Published: March 2023

The advent of mobile technology has brought about significant changes in many areas of life, including the management of food intake and dietary habits. This paper proposes an Android-based food automation and dietary management system that leverages the power of mobile technology to streamline the process of ordering and preparing meals in a hospital setting. The system includes a mobile app that allows users to place food orders and track their nutrient intake, as well as a dietary plan generator module that utilizes third-party Application Programming Interfaces (APIs) to create personalized meal plans based on individual dietary needs and preferences. It discusses the benefits of this system, including improved efficiency, accuracy, and patient satisfaction. Overall, this paper demonstrates the potential of mobile technology to transform the way it approaches food and nutrition in healthcare settings.
Exploring machine learning-based traffic prediction in 5G networks using a QualNet simulator and STLSTM
Authors: Rathna R. , Vinod D.
Published: March 2023

This paper aims to explore Machine Learning-based traffic prediction in 5G networks using the QualNet simulator and the Spatio-Temporal Long Short-Term Memory (STLSTM) model. The study evaluated the performance of the STLSTM model by comparing it with other models such as Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Convolutional Neural Network (CNN). The evaluation metrics used for the simulation experiments included Packet Delivery Ratio (PDR), throughput, end-to-end delay, and jitter. The results showed that the STLSTM model outperformed the other models in terms of Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and R-squared, and achieved improved accuracy in predicting traffic in 5G networks. The findings of this study can help network operators to effectively manage traffic and optimize network performance.
Exergoeconomic and sensitivity analyses of a gas turbine power plant using MINI-REFPROP and MATLAB simulink
Authors: Malik F. Elmzughi , Elhadi I. Dekam
Published: March 2023

In this paper, exergy, exergoeconomic, and exergoenvironmental analysis of a gas turbine cycle and its optimization have been carried out by MINI-Reference Fluid Properties (MINI-REFPROP) and Matrix Laboratory (MATLAB) SIMULINK. The parametric study was carried out based on the Specific Exergy Costing approach. The mathematical models were developed and presented regarding mass, energy, and economy. The Excel and MATLAB LIBRARY TOOLS BOX are used to perform thermodynamic properties and research analyses. The analyses lead to valuable economic status benchmarks. The exergoeconomic factor, relative cost, total cost of energy loss, and energy destruction for the combustion chamber and work output were determined. The parametric study was conducted, considering the effects of the gas turbine inlet temperature, air compressor inlet temperature, and compressor pressure ratio. For the considered case study status, the combustion chamber in the plant revealed the highest amount of energy destruction (85%), leading to the recommendation that more attention be paid to boilers in terms of design, selection, operation, and maintenance, while the combustion chamber has a high improvement potential (91%).
An efficient ensemble based protection strategy for DC microgrid
Authors: Sonal  , Tiwari Yogesh
Published: March 2023

A significant amount of interest from the scientific community has been focused on Direct Current (DC) microgrids in recent years, as a direct result of the proliferation of appliances that run on DC power. Nevertheless, the acceptability of DC microgrids by power utilities is still restricted owing to the challenges connected with the construction of a dependable protection system. This is because obtaining dependable protection for DC microgrids might be difficult due to the large size of DC fault current, its quick rate of rise, and the lack of zero crossing. In addition, the intermittent nature of the power produced by non-traditional distributed generators necessitates adaptability in response to a wide range of climatic circumstances. The method used in this study to solve the problems outlined above is developing an Ensemble of Decision Tree-based protection solutions for a multi-terminal DC microgrid. The plan developed accommodates the intermittent nature of renewable energy sources. It only uses information that is local to the current and voltage signals, which allows it to execute the duties of fault detection and classification, and prevents the disadvantages associated with communication networks, such as data loss and delay.
Awareness of information and communication technology among secondary teacher education students
Authors: Velmurugan P.
Published: March 2023

The main objectives of the study are to find out the level of awareness of information and communication technology among the secondary teacher education students, and to find out the significant difference between arts group and science group, under graduate and post graduate, rural and urban, married and unmarried, nuclear family and joint family secondary teacher education students in their awareness of information and communication technology. Information and Communication Technology tool developed by the investigator was used to collect the relevant data. The sample consists of 150 secondary teacher education students. The data are analysed by percentage analysis and't' test. The result indicates that there is no significant difference between arts group and science group, under graduate and post graduate, rural and urban, married and unmarried, nuclear family and joint family secondary teacher education students in their awareness of information and communication technology.
Linguistic interpretation of contextual knowledge of domain ontology in pervasive and ubiquitous computing devices
Authors: Sanjay Kumar Anand , Abhigyan Dwivedi
Published: March 2023

In recent decades, ubiquitous and pervasive computing has been used to increase people's knowledge awareness in a variety of contexts in healthcare, education, agriculture, and so on. However, these computing systems have significant shortcomings in terms of supporting knowledge sharing, reasoning, machine readability, and sufficient controls over how information about individuals is used and shared with others. Ontology is a semantic web technology that provides a sophisticated knowledge framework for users and systems to share knowledge, represent knowledge, and achieve interoperability and machine readability. This paper discussed linguistic interpretation that may allow more adaptive and optimized solutions for knowledge sharing between domain ontologies, which is required for better communication in pervasive and ubiquitous computing.
Experimental study on steel fiber reinforced self-compacting concrete
Authors: Nadeem Pasha , Shaikh Kamal Mohammed Azam
Published: March 2023

The aim of this research is to produce high-strength Self-Compacting Concrete (SCC) by using industrial wastes such as GGBFS and fly ash as partial replacements for cement. Additionally, the research aims to investigate how the proportions of steel fibers should be selected to produce Steel Fiber Reinforced Self-Compacting Concrete (SFRSCC) mixes with the appropriate flow ability, passing capability, and segregation resistivity. To produce self-compacting concrete, GGBFS and fly ash are used as partial replacements for cement in proportions of 5%, 10%, 15%, 20%, 25%, and 30% by weight of cement. Furthermore, the impact of steel fibers on the characteristics of SCC is analyzed by utilizing steel fibers in different proportions ranging from 0.5%, 1.0%, 1.5%, and 2%. The research methods used to determine the concrete workability include the slump flow test and L-box test.
Real-time structural health monitoring: An innovative approach to ensuring the durability and safety of structures
Authors: Nithin T. A.
Published: March 2023

Structural health monitoring is an essential tool for ensuring the durability and safety of structures, particularly in the face of changing loads and environmental conditions. With the increasing demand for real-time monitoring and control, the use of sensors and other diagnostic tools has become increasingly important. This paper presents a review of the current state of the field of real-time structural health monitoring, including the need for real-time monitoring, the types of sensors and diagnostic tools used, case studies and examples, data processing and analysis methods, challenges and limitations, and future trends and developments. The review highlights the importance of real-time monitoring in detecting damage early and preventing structural failure, improving safety, and reducing maintenance costs. The paper also identifies gaps in the existing research and provides recommendations for future studies. The results of this review demonstrate the potential of real-time structural health monitoring as an innovative approach to ensuring the durability and safety of structures.
Longitudinal Prospective Cohort Studies: A Research Method Primer
Authors: Zouhair Jasmine
Published: March 2023

Introduction: A cohort study is a nonexperimental study design used to investigate the outcomes of a particular risk factor. They help researchers understand the prevalence, distribution, and correlation of variables in a population and function by following participants over a period of time, typically years. Utility: The results of well-designed observational studies are comparable to those of randomized controlled trials. Among some of the strengths of cohort studies is the ability to measure incidence rates, and to allow for a wide range of variables to be examined. In addition, one can examine disease progression and natural history because of their longitudinal design characteristic. Specifically, they are advantageous for rare exposures since subjects are chosen based on exposure status and can be monitored throughout the study for any changes caused by said exposure. Although they can infer a relationship between variables, they do not confirm causality. Challenges: One of the greatest challenges posed by cohort studies is the considerable amount of time and funding required to conduct them as they require large samples. Other challenges include, but are not limited to, maintaining follow-ups and accounting for withdrawals, and minimal control over the variables that are being studied Limitations: Variables may be measured incorrectly or inconsistently, resulting in information bias. For diseases with extensive latency periods, this study strategy is ineffective and cannot be used to establish causation between variables because the disease may have not completely manifested in the time it takes to conduct the study. Another significant limitation of this design is the sources of bias that could jeopardize the reliability of the study as a result of faulty measurement, an unrepresentative sample, or the differing impact of other factors on the association of interest.
Relationship Between Serum microRNA-372-3p and Glucose Transporter 4 Levels and Insulin Resistance in Gestational Diabetes Mellitus
Authors: Qin Jinjin , Cao Chenyuan , Zhao Yakun , Wang Jing , Wu Hongli , Wang Bei
Published: March 2023

Objective: To observe the changes in insulin resistance in patients with gestational diabetes mellitus (GDM) based on the detection of serum microRNA-372-3p and glucose transporter protein 4 (GLUT4) levels. Methods: We conducted a retrospective cohort study of 42 patients who were diagnosed with GDM and hospitalized in our hospital during the period from January 2017 to December 2021 and another 42 patients who had normal pregnancy during the same period by collecting their clinical data. We analyzed their serum microRNA expression profiles and miR-372-3p levels to study the relationship between GDM and insulin resistance. Results: The relative expression of miR-372-3p in the serum of patients in the GDM group was significantly higher than that of patients in the control group, but the GLUT 4 level of the GDM group was significantly lower than that of the control group (P < 0.05). Compared with the control group, the GDM group had significantly higher levels of fasting blood glucose (FBG), fasting insulin (FINS), 2-hour postprandial blood glucose (2h-BG), total cholesterol (TC), triglyceride (TG), and homeostatic model assessment for insulin resistance (HOMA-IR) index but significantly lower homeostasis model assessment of ?-cell function (HOMA-?) index (P < 0.05). The relative expression of miR-372-3p in serum was independently and positively correlated with HOMA-IR, while the level of GLUT4 was independently and negatively correlated with HOMA-IR (P < 0.05). Conclusion: Glycosylated hemoglobin test in the early stages of pregnancy (12–13 weeks of gestation) is important to ensure the health of pregnant women and fetuses. The screening and intervention for elevated glucose in pregnant women act as a guideline for the treatment of GDM. Patients with insulin resistance and related complications such as hyperinsulinemia and hypoglycemia should be given priority.
Teachers' and students' perspectives on using rubrics in the writing classroom. (c2011)
Authors:   ,   Lebanese American University, Shehab Manal
Published: March 2023

Several researchers in the world of English Language Teaching have been engaged in examining the process of assessing students’ writing using rubrics. Literature indicates that there is a debate among educators concerning the effectiveness of using rubrics on the teaching-learning process. While some consider rubrics as assessment tools that standardize students’ writing and hinder the students’ creative self-expression of ideas, others argue that rubrics enhance the students’ learning and they positively affect the teacher’s performance. This research study examines the teachers’ and students’ viewpoints regarding the effectiveness of using rubrics in a third grade writing classroom in a private school in Lebanon. It also aims to examine the participants’ attitudes toward using rubrics in the writing classroom. Both qualitative and quantitative data were obtained. An in-depth interview with an English Language teacher highlighted the perceived advantages and challenges of using rubrics. A questionnaire addressed to the students portrayed their preference to use rubrics in the writing classroom. A classroom observation conducted by the researcher portrayed the impact of rubrics on the teacher’s and students’ classroom practices. Findings showed that teachers and students are in favor of using rubrics due to the positive impact that they have on the teaching-learning process. The pedagogical implications of the study’s findings were also discussed.
Media Pictory (Picture Trip Story) Berbantuan Toefl Diagram untuk Meningkatkan Keterampilan Menulis Teks Recount
Authors: Awaliyah Imatul
Published: March 2023

Pembelajaran Bahasa Inggris di Sekolah Menengah Pertama Negeri 1 Gondang belum mampu meningkatkan keterampilan menulis teks recount. Hal ini terlihat dari hasil belajar keterampilan menulis teks recount di kelas VIII I belum mencapai ketuntasan kelas. Guru melakukan tindakan kelas dengan menggunakan menciptakan media Pictory Picture Trip Story dipadukan dengan diagram TOEFL (Title Orientation Events Feeling Last). Penelitian tindakan kelas ini dilakukan dalam dua siklus. Pada akhir tindakan, keterampilan menulis teks recount siswa meningkat dari rerata 73 pada pra siklus menjadi 80. Dapat disimpulkan bahwa penggunaan media Pictory berbantuan TOEFL diagram dapat meningkatkan keterampilan menulis teks recount pada peserta didik kelas VIII I tahun pelajaran 2019/2020.
Mewujudkan Peserta Didik Terampil dan Mandiri Melalui Kewirausahaan di Sekolah Satu Atap
Authors: Nurchayati Siti
Published: March 2023

Sekolah Satu Atap merupakan inovasi Pemerintah dalam program wajib belajar pada daerah Terpencil, Terpencar, dan Terisolir (3T). Salah satu program untuk mewujudkan peserta didik yang terampil dan mandiri adalah melalui program kewirausahaan. Penelitian ini merupakan penelitian lapangan dengan metode studi kasus yang diambil dari pengalaman terbaik (best practice) yang dilakukan kepala sekolah. Penelitian ini dilakukan di Sekolah Menengah Pertama Negeri Satu Atap Tambelang, Kabupaten Bekasi, Jawa Barat tahun pelajaran 2019/2020. Selama pelaksanaan, peserta didik diamati dan diukur menggunakan lembar instrumen, ini bertujuan untuk mengukur sikap terampil dan mandiri peserta didik. Data dianalisis dengan menggunakan metode analisis interaktif Miles dan Huberman. Berdasarkan hasil analisis data di lapangan diperoleh data bahwa sesudah pelaksanaan program jumlah peserta didik yang cukup terampil hingga sangat terampil menjadi 98% atau sebanyak 63 anak, dengan peningkatan sebesar 86%. Kemandirian meningkat menjadi 95%, dari hanya 3 orang menjadi sebanyak 64 orang. Kesimpulannya, dengan praktik langsung kegiatan usaha di sekolah peserta didik dapat merasakan, menelaah, dan memahami konsep kewirausahaan sehingga membentuk sikap dan mental kewirausahaan peserta didik yaitu terampil dan mandiri.
Keterampilan Menulis Puisi dengan Penguatan Karakter Melalui Teknik Sanggam Riska
Authors: Supriyanto Supriyanto
Published: March 2023

Artikel ini diangkat dari praktik baik cara mengintegrasikan penguatan pendidikan karakter melalui teknik “Sanggam Riska” dengan tujuan meningkatkan kemampuan menulis puisi bagi siswa  kelas VIII SMP. Ditemukan adanya indikasi sikap kurang santun siswa baik pada sesama siswa maupun pada guru. Teknik “Sanggam Riska” yaitu teknik rangsang gambar arisan kata secara berkelompok.  Pembelajaran dengan teknik “Sanggam Riska” ini dapat meningkatkan secara signifikan kemampuan siswa dalam memilih kata, majas, dan rima dalam menulis puisi para siswa di SMP N 1 Kemranjen yang berimplikasi pada meningkatnya prestasi belajar sastra dengan menguatkan pendidikan karakter. Penguatan pendidikan karakter berupa kerja sama dalam iuran kata, sabar menunggu giliran, dan percaya diri telah terlihat dengan jelas pada saat siswa berdiskusi kelompok.