bluuebunny/crossref_metadata_2025 huggingface dataset:
Formulasi dan Evaluasi Gel Antijerawat Ekstrak Daun Jeringau Hijau (Acorus Calamus L.) Dengan Variasi Konsentrasi Carbopol 940 Sebagai Gelling Agent
Authors: Suzalin Ferawati , Marlina Dewi , Agustini Selvi
Published: July 2023

Latar Belakang: Gel merupakan salah satu bentuk sediaan yang bisa digunakan untuk mengobati jerawat.Basis gel yang biasa digunakan adalah carbopol 940 karena dengan konsentrasi kecil yaitu 0,5%-2% dapat menghasilkan gel yang jernih dengan viskositastinggi. Penelitian ini bertujuan untuk mengetahui konsentrasi carbopol 940 yang optimal untuk menghasilkan gel yang stabil dan memenuhi persyaratan. Gel yang dibuat menggunakan zat aktif daun jeringau hijau (Acorus calamus L.) dengan kandungan senyawa aktif flavonoid dan saponin

Metode: Penelitian ini menggunakan metode eksperimental, dengan esktrak daun jeringau hijau (Acorus calamus L.) sebanyak 3,6% sebagai zat aktif dan memvariasikan carbopol 940 sebagai gelling agent dengan konsentrasi 0,75% pada formula I, 1% pada formula II dan 1,25% pada formula III. Kemudian dilakukan evaluasi sediaan pada suhu kamar dan uji dipercepat (Cycling Test) meliputi pH, daya sebar, sineresis/swelling, homogenitas, warna dan bau serta iritasi kulit

Hasil: Hasil evaluasi menunjukkan bahwa pH sediaan pada kedua uji penyimpanan mengalami kenaikan, dan hasil pengujian daya sebar sediaan pada suhu kamar serta uji dipercepat mengalami penurunan namun masih memenuhi syarat. Semua sediaan gel antijerawat tidak mengalami peristiwa sineresis/swelling dan memiliki homogenitas yang baik, gel antiijerawat juga tidak mengalami perubahan warna, bau serta tidak mengiritasi kulit baik pada penyimpanan suhu kamar maupun uji dipercepat

Kesimpulan: Ekstrak daun jeringau hijau (Acorus calamus L.) dapat diformulasikan menjadi sediaan gel antijerawat yang stabil dan memenuhi persyaratan serta dapat bertahan selama 12 bulan dengan konsentrasi carbopol 940 yang paling optimal sebesar 1%

Kata Kunci: Gel, Ekstrak Daun Jeringau Hijau (Acorus calamus L.), Carbopol 940
Formulasi Dan Evaluasi Balsam Aromaterapi Ekstrak Daun Jeruk Purut (Citrus Hystrix D.C) Dengan Variasi Cera Alba Sebagai Stabilizing Agent
Authors: Astuti Ratnaningsih Dewi , Millenia Debby Putri
Published: July 2023

ABSTRAK

Latar Belakang: Balsam merupakan salah satu bentuk sediaan yang dapat digunakan sebagai aromaterapi. Zat penstabil yang biasa digunakan dalam sediaan balsam adalah cera alba dengan konsentrasi 5-20% menghasilkan balsam yang stabil dan memiliki daya pelepasan obat yang baik. Penelitian ini bertujuan untuk mengetahui konsentrasi cera alba yang optimal untuk menghasilkan balsam yang stabil dan memenuhi persyaratan dengan ekstrak daun jeruk purut (Citrus hystrix D.C) yang mengandung sitronelal sebagai zat aktifnya.

Metode: Penelitian ini menggunakan metode eksperimental, dengan ekstrak daun jeruk purut (Citrus hystrix D.C) sebanyak 3% sebagai zat aktif dan memvariasikan cera alba sebagai stabilizing agent dengan konsentrasi 15% pada formula I, 16% pada formula II dan 17% pada formula III. Kemudian dilakukan evaluasi sediaan pada suhu kamar dan uji dipercepat (Cycling test) meliputi pH, homogenitas, daya Sebar, bau, warna dan iritasi kulit.

Hasil: Hasil evaluasi menunjukkan pH sediaan pada uji penyimpanan suhu kamar dan uji dipercepat (Cycling test) mengalami kenaikan, dan hasil pengujian daya sebar sediaan pada kedua uji penyimpanan mengalami penurunan tetapi masih memenuhi syarat. Semua sediaan balsam aromaterapi memiliki homogenitas yang baik, balsam aromaterapi ini juga tidak mengalamai perubahan warna, bau serta tidak menyebabkan iritasi kulit baik pada penyimpanan suhu kamar maupun uji dipercepat (Cycling test).

Kesimpulan: Ekstrak daun jeruk purut (Citrus hystrix D.C) dapat diformulasikan menjadi sediaan balsam aromaterapi yang stabil dan memenuhi syarat serta dapat bertahan selama 12 bulan dengan konsentrasi cera alba yang paling optimal sebesar 15%.

Kata kunci : Balsam, aromaterapi, ekstrak daun jeruk purut, cera alba
Application Of Medical Play To Reduce The Level Of Hospitalization Anxiety In Preschool Children
Authors: Suparno Suparno , Estiani Meilina , Aisyah Aisyah , Saputri Kurnia
Published: July 2023

Anxiety is a response that often appears in children undergoing hospital treatment. The impact of anxiety on children is refusing treatment and slowing recovery. One of the nursing interventions to help reduce anxiety in preschool-aged children is the application of medical play. Medical play is medical play  that gives children the opportunity to play and explore medical equipment such as stethoscopes, penlights, thermometers, and others regarding the actions they experience while in the hospital.

The aim of the research is to get an overview of the application of medical play to the anxiety response of preschool-aged children who are undergoing hospitalization. The research used the case study method by providing direct application of medical play to respondents which was carried out from February to June 2022 in the Inpatient Room of Dr.Noesmir Baturaja Hospital. Respondents were 2 pre-school children who experienced anxiety due to hospitalization. The results of the study revealed that after nursing interventions in the application of medical play there was a decrease in anxiety levels marked by decreased verbalization of confusion in children, decreased verbalization of worry due to the conditions faced by children, decreased anxiety in children, decreased tension in children, decreased pulse frequency, , and the child does not look pale. Then the pattern of behavior in children improves, marked by the child's concentration improving, the child's sleep patterns improve, and eye contact improves.In conclusion, the application of medical play is an alternative to play therapy that can be used to reduce anxiety levels in pre-school children due to hospitalization
The Effect Of Cat Stretch Exercise Technique On Dysmenorrhea In Female Students Sma Negeri 22 Palembang In 2023
Authors: Apirda Dana , Martini Sri , Novita Nesi
Published: July 2023

Cat Stretch Exercise is a gymnastics technique aimed at improving blood circulation, enhancing muscle and joint strength, and increasing the level of endorphin hormone in the blood, which can reduce menstrual pain. To determine the effect of Cat Stretch Exercise technique on dysmenorrhea in female students of SMA Negeri 22 Palembang, in 2023. This study employed a quantitative study with pre-experimental method. The research design is One Group Pretest-Posttest, with purposive sampling. Based on the statistical analysis using the Wilcoxon test, the ρ value was 0.033 (α ≤ 0.05). This indicates that there is a significant influence between the independent variable (Cat Stretch Exercise technique) and the dependent variable (menstrual pain), hence H1 is accepted, meaning that there is an effect of Cat Stretch Exercise technique on the reduction of menstrual pain in female students of SMA Negeri 22 Palembang. There is an effect of Cat Stretch Exercise technique ondysmenorrhea in female students of SMA Negeri 22 Palembang.
Risk Factors Of Anemia In Pregnant Women
Authors: Napitupulu Oktarinda , Yulianto Yulianto , Suprida Suprida
Published: July 2023

Anemia in pregnant women is categorized as a global health problem with a prevalence reaching 36.5%. In Indonesia, the incidence of anemia in pregnant women reaches 48.9%. The highest prevalence of pregnant women with anemia at the Puskesmas level in Palembang City was at the Merdeka Health Center, which was 12.47%. Research Objectives: To determine the relationship between maternal age, gestational age, parity, KEK status, gestational age, and the incidence of anemia in pregnant women. Research Method: Observational study with case-control research design. This research was conducted at the Merdeka Palembang Health Center from April 1 2023 to May 25, 2023. The sample in this study totaled 104 respondents consisting of 52 case respondents and 52 control respondents using register book data. The results of the study: there is a relationship between gestational age (p-value = 0.013 OR value = 3.195), KEK status (p-value = 0.013 OR value = 3.701), pregnancy interval (p-value = 0.044 OR value = 4.382) and the incidence of anemia in pregnant women and there is no relationship between maternal age (p-value = 1,000 OR = 1,000) and parity (p-value = 0.759 OR = 1.462) with the incidence of anemia in pregnant women. Gestational age, KEK status, and gestational spacing have a greater possibility of anemia when compared to maternal age and parity.
On-demand Vehicular Fog Computing for Beyond 5G Networks
Authors: Mao Wencan , Akgul Ozgur Umut , Cho Byungjin , Xiao Yu , Ylä-Jääski Antti
Published: July 2023

Emerging compute-intensive and latency-sensitive vehicular applications are expected to be deployed at the edge instead of the cloud to shorten the network latency. Mobile fog nodes carried by moving vehicles have been proposed to complement the stationary fog nodes co-located with base stations to handle the spatio-temporal variations of the demand in a cost-efficient way. Existing works on capacity planning for such vehicular fog computing (VFC) scenarios assume that the vehicular traffic follows certain spatio-temporal patterns, which may change in different seasons, and create capacity plans accordingly. In other words, they consider long-term capacity planning, leaving the adaptation to temporary changes or unexpected variations out of scope. In this work, we propose an integer linear programming (ILP) based framework to optimize the routing strategy of vehicular fog nodes (VFNs) in order to maximize the profit received by the service provider, taking into account the quality of service (QoS) received by the users and service level agreement (SLA) of various applications. To adapt to the temporal variations in demand, we predict the traffic flow and resource consumption from the users with feedback from service evaluation. To reduce the computational time and enable parallel processing, we create the capacity plan in two steps, namely global planning and regional planning. Through simulations, we show that the proposed solution achieves an 85% higher profit and a 20% higher service rate compared to the strategy where the VFNs randomly travel and serve the surrounding users without demand prediction. It achieves similar network latency compared to the strategy using only stationary fog nodes, but with a higher cost-efficiency. We also evaluate the impacts of number of VFNs, cost parameters, and regional size on the capacity plan. We find that a high number of VFNs, a small regional size, a high penalty cost, and low traveling and rental costs will lead to a high service rate; while a large regional size and low traveling, rental, and penalty costs will result in a high profit.
Design of an Isolated Level-1 Charging Architecture With Power Quality Improvement
Authors: Suman Surbhi , Panigrahi Bijaya Ketan
Published: July 2023

Increasing interest is shown in deploying electric vehicles (EVs) to reduce greenhouse gas emissions and fuel consumption. However, their widespread adoption is hindered by factors such as the limited availability of battery converters for electric vehicles. To surmount this limitation, there is a need for compact, efficient, and cost-effective EV charging technologies. In addition, these technologies should operate with minimal harmonics and high power factors. This paper addresses an AC-DC converter with power factor correction (PFC) for fueling electric vehicles. The objective of developing compact and cost-effective charging solutions, such as the proposed converter, is to facilitate efficient and rapid charging while addressing availability issues. The incorporation of power factor correction increases power transfer efficiency and decreases harmonics. Electric vehicle (EV) charging technology advancements are essential for promoting the widespread adoption of EVs, providing convenience, and contributing to environmental sustainability.
Tomography of grass bulk permittivity using RFID propagation-based sensing
Authors: Le Breton Mathieu , Baillet Laurent , Larose Eric
Published: July 2023

Propagation-based sensing is an emerging approach to sense remotely the properties of the propagation channel. This study shows how interrogating tags across 19 m of dense grass influences the phase delay. Moving the tag vertically within the grass, then without grass, is used to estimate the slowness caused by the vegetated volume. The overall volume ratio of the grass is estimated at 0.75‰ with the RFID, close to the 0.53% estimated by weighting.
Partial phase ambiguity solving using dual band for RFID tag localization
Authors: Le Breton Mathieu , Grunbaum Nicolas
Published: July 2023

The accurate localization of RFID tag usually uses phase difference of arrival, that is 2π-ambiguous. We partially solve this ambiguity, up to ±2 phase cycle, by combining 865–868MHz and 915–919 MHz bands. The system needs to resolve an ambiguity A1 of 2.828 meters between the two bands, and an ambiguity A0 of 0.163 meters at a single frequency. The range estimation applied on five days of measurements is compared with topographic instruments. The ambiguity A1 is accurately solved on 92% of the tag-antenna combinations (25/27) taken separately, and resolved in all the cases when taking the median of the array. The ambiguity A0 is partially resolved, with up to 6 cycle values that appeared as a potential candidate. The A0 cycle bias on the five arrays was 0, 0, 1, 2, −2, confirming the partial phase resolution. 
Single-Layer, All Metallic Metasurface Filter With Nearly 90° Angularly Stable Resonance
Authors: Goshen Nadav , Mazor Yarden
Published: July 2023

We present a method to design a single-layer, allmetallic angular stable metasurface (ASM) filter unit cell for nearly the entire angular spectrum. We formulate the optimization criterion using the energy balance condition derived from Poynting’s Theorem. The proposed unit cell has a ”cloverleaf” geometry, and we show that by adjusting the properties of the cloverleaf, we manipulate the in-plane spatial dispersion, thus realizing an angularly stable resonance that extends to nearly 90◦ incidence. After optimization, we revisit the energy balance criterion and show, using a spatially dispersive admittance expansion, how optimization at three points is enough to obtain the required balance for nearly the entire angular spectrum.

The proposed ASM was fabricated from a bare aluminum sheet and measured for transverse electric (TE) and transverse magnetic (TM) polarization, with angularly stable performance that matches the theory and simulation. The proposed design offers new capabilities for radar and antenna design applications, with the simple, single-layer, all-metallic structure being particularly useful in aerospace and satellite applications.
Single-Layer, All Metallic Metasurface Filter With Nearly 90° Angularly Stable Resonance
Authors: Goshen Nadav , Mazor Yarden
Published: July 2023

We present a method to design a single-layer angular stable metasurface (ASM) filter unit cell for a nearly full range of angles of incidence. We formulate the optimization criterion using the energy balance condition derived from Poynting's Theorem. The proposed unit cell has a "cloverleaf" geometry, and we show that by adjusting the properties of the cloverleaf we obtain an angularly stable resonance which extends to nearly 90 degree incidence. After optimization, we revisit the energy and show using a  dispersive impedance model how optimization at three points is enough to obtain the required balance for the entire angular spectrum. The proposed ASM was fabricated from a bare aluminum sheet and measured for both TE and TM polarization, with angularly stable performance that matches the theory and simulation. The proposed design offers new capabilities for radar and antenna design applications. 
Deep Learning Based Traffic Prediction in Mobile Network- A Survey
Authors: Wang Xing , Wang Zhendong , Yang Kexin , Song Zhiyan , Feng Junlan , Zhu Lin , Deng Chao
Published: July 2023

With broad deployment of 5G network and pro- liferation of mobile devices, mobile network operators are not only facing massive data growth in mobile traffic, and also observing very complex and dynamic usage patterns, which bring challenges to network operation. In this context, network traffic prediction is becoming a key capability for network operation to assure quality of service and drive down the cost. Timely and accurate traffic prediction plays a crucial role in resource allocation, base-station energy saving, network planning and optimization. Recently, deep learning-based models have been widely used in mobile traffic prediction and shown significant performance gains. This survey provides a thorough account of deep learning solutions of mobile traffic prediction, involving representative data, model architectures, and applications. We start by analyzing the available data and categorize them into three major categories, and divide the traffic prediction problem into six subcategories. Then, we describe in detail how deep learning techniques are utilized to capture four crucial aspects of mobile traffic, namely temporal dependencies, spatial dependencies, external factors, and heterogeneity. We further briefly outline the applications based on mobile traffic prediction and summarize the open data and source codes. Finally, the remaining challenges and potential future directions are discussed to provide guidance for follow-up research. This article surveys the literature over the period 2017-2022 on the deep learning- based mobile traffic prediction. To the best of our knowledge, this paper is the first comprehensive survey of deep learning on mobile traffic prediction.
Simultaneous Maximization of Voltage and Power Efficiencies in Magneto Mechanical Transmitters
Authors: Jing Jiheng , Bahl Gaurav
Published: July 2023

Magneto-mechanical resonator arrays have emerged as a promising transmitter solution for compact ultra-low frequency (ULF) wireless communication systems and can be extremely power-efficient compared to traditional electrical antennas in the ULF range. The efficiency of ULF signal generation using magneto-mechanical transmitters (MMTs) is dictated by multi-physical effects from mechanical, magnetic, and electrical domains, leading to an interesting trade space. In this work, we show that an MMT’s most power-efficient and most voltage-efficient driving frequencies always differ, forcing designers to sacrifice one efficiency for the other. To address this issue, we propose an efficiency optimization method that minimizes the total impedance of the MMT at the most power-efficient driving frequency, by means of a compensation capacitor added to the electromagnetic actuation coil system. Our experimental results show excellent agreement with our analytical model, and we demonstrate that our approach enables simultaneous maximization of voltage and power efficiencies of an MMT at the same driving frequency. We additionally describe how to apply this optimization method on multi-resonator magneto-mechanical arrays and present numerical analysis that predicts much greater improvement factors in systems having larger net magnetic moments and drive coils with larger sizes.
Assessment of factors Influencing gully erosion for its remediation in Eastern Nigeria
Authors:   Igwe, PU, Ajadike, JC and Ogbu, SO
Published: July 2023

Gully erosion is an easily observable footprint in the soil, and its factors have been studied using a piecemeal approach in Eastern Nigeria in the coverage of the region and the concept. This study assessed the factors of gully erosion in the region. The region’s nine most gully erosion-risk areas were purposively sampled. One community alongside its large gully located in each of the most gullied areas was conveniently sampled for the assessment of the factors in the perspectives of the directly and adversely affected community residents living in close proximity to the gullies within a radius of 0.3km2 (300m2). A total number of 370 household heads as respondents was purposively sampled. The Likert Scale used in ranking agreement on factors of gully erosion has four levels: strongly agree (4), agree (3), disagree (2), and strongly disagree (1). The Chi-square (X2) of the SPSS, version 22.0 was used for data analysis. The results indicated that the respondents’ strong agreement on the factors influencing gully erosion in the region is thus: Erodibility > Rainfall > Roads > Soil type > Vegetation cover loss > Deforestation > Urbanization > Population > Agriculture practices> Climate change > Geology. There was a significan difference in the mean rating among the affected people on the factors influencing gully development and expansion in the region (X2 value = 749.040, p = 0.00 < 0.05), with its implication in remediating the phenomenon. Remediation strategies proffered for gully erosion in the study area included prioritization of the quantification of the erodibility variable found to be the most factor of gully erosion in gully erosion studies so as to understand in scientific terms the degree of its influence on gully development for determining the applicable remediation strategies,as well as enhancement and integration of the coping strategies of the directly and adversely affected community residents into remediation strategies, among others.
Evaluation of project management tools towards effective events delivery in Onitsha, Anambra State
Authors:   Chikwendu, Azunna Donatus and Okwu-Delunzu, V.U.
Published: July 2023

This study was carried out with the aim to evaluate project management tools towards effective events delivery in Onitsha, Anambra State. In order to achieve the aim of the research, the following objectives were used which are to examine if events qualify as projects considering the time frames, to analyze managing events as projects considering the cost implication of organizing and executing the events and to compare the outputs of managing events as projects against the unprofessional management of events in developing and under-developed countries. This study is anchored on “The Theory of Path dependence”, which is a concept in economics and the social sciences, referring to processes where past events or decisions constrain later events or decisions. The google forms research tool was used as a tool for sampling, data collection and analysis. Findings indicate that the respondents agree that their knowledge of event management is mostly moderate for 57% of the respondent, high for 26% and very high for 13%. The responses to whether event management is restricted to bridals and catering services indicated no huge variation as only 9.8% indicated very highly restricted, 32.8% indicated highly restricted, 37.9% indicated moderately restricted. 14.5% indicated lowly restricted and 5.1% indicated very lowly restricted. This result reveals the thoughts pattern of an average person in Onitsha regarding event management. However, the respondents claim moderate knowledge of project management with 47% of indicating moderate understanding of the field. In conclusion from the research conducted, most of the respondents believe that events management and project management are related. Also, the result of analysis of data showed that events can be managed more successfully with project management tools and techniques. Based on the findings, the work therefore recommends that the event management industry in Nigeria should inaugurate a body with value driven leaders to chart the course for the growth of the industry in Nigeria by organizing seminars, workshops and conferences to impact project management knowledge.
Inimigos da fé: martírio, feitiçaria e canibalismo nas “fronteiras” do Tape (década de 1630)
Authors: Soares Anzolin André
Published: July 2023

Este artigo aborda os relatos construídos sobre o “martírio” do jesuíta Cristóbal de Mendonza em 1635, e também a respeito dos conflitos deflagrados após este episódio nos “cerros e montes” que se estendiam a leste da província do Tape Em lugar de uma investigação destinada a compreender as razões que poderiam ter causado o ataque ao missionário, ou da descrição do desdobramento daquele episódio. O presente estudo propõe uma análise sobre algumas das classificações e construções retóricas empregadas pelos jesuítas para estabelecer uma narrativa sobre o ocorrido. Através da comparação entre distintos escritos, nosso intento é evidenciar as relações entre aquele episódio crítico, e as transformações nas formas pelas quais os missionários caracterizaram os habitantes da “região” que servira como palco do “martírio”.
O olhar de Georg Simmel e Byung-Chul Han sobre o indivíduo contemporâneo
Authors: Corrent Nikolas
Published: July 2023

O desenvolvimento de uma sociedade pautada em relações que excedem os limites neuronais e que como consequências determinam o aparecimento das mais expressivas formas de violência neural já registradas, e que além disso, são auto infligidas, tornam significativas as discussões que têm como objetivo o debate prolifico. Não obstante, tornar claro o desenvolvimento dessa sociedade só faz levantar perguntas que explorem as consequências e tomem consciência do destino a que se aventura. Para subsidiar a discussão, utilizou-se como aporte teórico Byung-Chul Han (2017) e Georg Simmel (2005). O que aqui se busca é determinar a formação de uma sociedade baseada no desempenho e na positividade, as consequências para os sujeitos individuais e as questões que daí se aventam.
Liberalismo e sedição no Brasil meridional: da Revolução Farroupilha à Aliança Libertadora
Authors: Salomão Ivan Colangelo , Cruz-e-Silva Victor
Published: July 2023

O itinerário percorrido pelo liberalismo no Brasil é sinuoso. Ideologia importada da burguesia europeia, encontrou num país colonizado o ambiente propício para vicejar de forma contígua a sua futura antinomia, o nacionalismo. Se absorvido de forma oblíqua pela elite brasileira, o liberalismo empunhado pelas oligarquias gaúchas fez-se ainda mais instrumental, e contraditório, se comparado ao restante do país. Ideário em cujo nome se travaram diversos conflitos, o liberalismo escreveu uma história particular no Rio Grande do Sul. Nesse sentido, este artigo tem por objetivo resgatar parte da história do liberalismo no sul Brasil por meio da Revolução Farroupilha (1835-1845), a Revolução Federalista (1893-1895) e a Guerra de 1923.
Placement Analysis for Students using Machine Learning
Authors: C. M. Nalayani  , Thanga Akilan .V  , Hariharan .S  , SaranArulnathan  , Venkatanathan .S
Published: July 2023

Every University/College want their students to get placed in a good company with a better package. They create the syllabus so, that students will gain the most knowledge out of the study period. But they are not sure whether the students are getting trained with proper guidance and instruction to be placed. There is a need for metric to find the progress of the student’s placement. So, the student can speed up his/her preparation to meet the demands of the minimum criteria of placement. This metric is called the placement analysis system, it takes attributes like internships completed, papers published, aptitude scores, etc to predict where the individual will get placed i.e., Dream company, Core company, Normal company or not get placed. For this the machine learning algorithms are used to predict the results using three basic algorithms Random Forest, Decision tree and K-means clustering the accuracy of the algorithms are determined to find the optimal algorithm. The past data on the placement results were fed as the training dataset and a part of it is used for testing the accuracy of the model. Then if the accuracy is good, this can be used to predict the possibility of a student getting placed. If the student is unhappy with the result, then the model can be used to find the area where the student needs to improve to get to his desired goal. If properly implemented and the students work consistently, this aids in providing solutions to meet every student's goal.
ANALISIS KEBUTUHAN MEDIA AUGMANTED REALITY PADA PESERTA DIDIK KELAS V SD PLUS IGM PALEMBANG
Authors: Maharani Siti Dewi , Dewie Siti Swasti Eka
Published: July 2023

Teknologi yang berkembang secara dinamis telah menjadi alat untuk mempercepat masyarakat dalam mencari informasi di seluruh dunia. Augmanted Reality merupakan langkah besar dalam inovasi teknologi yang menyediakan layanan yang menyenangkan serta memberikan pengalaman dengan estetika. Tujuan penelitian untuk mengetahui kebutuhan peserta didik pada media pembelajaran berbasis Augmanted Reality. Metode penelitian bersifat kuantitatif dengan subjek penelitian peserta didik kelas V di SD Plus IGM Palembang. Instrumen yang digunakan dalam penelitian ini adalah wawancara dan kuesioner, menyangkut dua indikator dengan hasil indikator kebutuhan sarana dan kecenderungan gaya belajar. Berdasarkan hasil penelitian tersebut dapat disimpulkan perlu dikembangkan media pembelajaran berbasis Android dalam proses pembelajaran Tujuan dari penelitian ini adalah untuk mengetahui analisis kebutuhan Media Augmanted Reality berbasis objek 3D di kelas V SD Plus LTI IGM. Manfaat dari penelitian ini diharapkan mampu mengetahui karakteristik dan kebutuhan peserta didik kelas V SD LTI IGM dalam pembelajaran materi system pencernaan. Metode penelitian yang digunakan adalah Mixed Method dengan pendekatan kualitatif dan Penelitian Tindakan Kelas. Hasil penelitian ini menunjukkan bahwa 67,2% peserta didik membutuhkan Media Pembelajaran yang interaktif dan digital untuk mensimulasikan objek yang akan di observasi dengan mengunakan Augmanted Reality. Kemudian 43% peserta didik belum memahami cara menulis teks laporan hasil observasi dan bahwa 100% guru membutuhkan sumber belajar interaktif dan untuk menguji efektifiitas meningkatkan hasil belajar peserta didik memperoleh dalam pelajaran tematik
EFEKTIVITAS PEMBELAJARAN LUAR KELAS PADA MATERI KENAMPAKAN ALAM TERHADAP HASIL BELAJAR DAN KETERAMPILAN KERJASAMA SISWA SD KELAS IV
Authors: Kamil Nurdin , Maharani Siti Dewi
Published: July 2023

Learning in the 21st Century contains learning designs that are able to explore students' abilities. Out-of-class learning that invites students to develop knowledge and skills becomes an alternative in the developed learning design. This research is a study that aims to see the effectiveness of out-of-class learning on natural appearance material on student learning outcomes and cooperation skills. This study used quantitative research methods with a quasi-experimental design. This study used One Group Pretest-Posttest design with data collection techniques in the form of tests and non-tests. Data analysis techniques use prerequisite tests and t tests (independent T-test). The results of this study showed that the calculation results obtained tcount = 32.99 while ttable = 1.68 at a 95% confidence level or error rate, ?. = 5%. Based on the results of these calculations, it can be seen that tcalculate > ttable. Therefore ,h-0. rejected and ,h-a. accepted so that it can be stated that there is a difference between the pretest and posttest learning outcomes of students. The results of descriptive statistical analysis showed that after the application of the out-of-class learning model, the score of the applied Cooperation skills received an average score of 87.3. Whereas before being given the Cooperation skills treatment, students had an average score of 59.7. This shows that there is an increase in student cooperation in learning using out-of-class learning models.
The role of artificial intelligence technologies in determining the interests of users of digital platforms Within (the third axis: the psychological and social effects of the uses of digital communication technology)
Authors: Hussein Dr. Taghreed Fadhil
Published: July 2023

Social networking sites have an impact on all aspects of life, if at the beginning this was related to the ability to obtain electronic devices through the physical condition or the provision of infrastructure, but this matter will only exceed a few years at the worst estimate to become the main feature of the modern era, which is The era of media through digital platforms, as social networks opened the way for a shift in media work methods according to modern technologies, a large part of which has become shifting towards artificial intelligence technology, as the new technologies provided by digital media have reshaped media practice, whether at the level Producing and narrating the content in ways that are compatible with the nature of the digital platform on the one hand, and the shift in the methods of dealing with the digital audience with these contents on the other hand. Users of these platforms decide what they want.
Keywords: )artificial intelligence, social networking sites, digital platforms, identification of interests).
Addressing the Global Issue of Maltreatment by Tutors: A Focus on Ghana Colleges of Education
Authors: - KOW ARKHURST , - PRINCE FESTUS EKU-HYIA , - ISAAC MENSAH
Published: July 2023

Tutor maltreatment is a serious issue within educational settings that can have detrimental effects on student’s well-being and academic success. This article presents a comprehensive literature review that explores the prevalence, types, consequences, institutional policies, interventions, cultural and contextual considerations, and the role of stakeholders in addressing tutor maltreatment. Drawing from recent research published within the last 10 years, this review provides an up-to-date analysis of the current state of knowledge in this area.

The findings reveal that tutor maltreatment encompasses various forms, including verbal abuse, unfair treatment, and power imbalances, which can significantly impact students emotionally and academically. Educational institutions play a pivotal role in addressing tutor maltreatment by implementing clear policies, training programs for tutors, establishing reporting mechanisms, and providing support services for affected students. Cultural sensitivity and contextual understanding are crucial in creating an inclusive environment that respects students' diverse backgrounds.

Moreover, the review highlights the importance of stakeholder involvement, including educational institutions, tutors, students, parents and guardians, and the broader community, in addressing tutor maltreatment effectively. Collaborative efforts among stakeholders are essential to creating a safe and respectful learning environment.

Overall, this literature review contributes to a comprehensive understanding of tutor maltreatment and provides valuable insights for educators, policymakers, and researchers to develop evidence-based strategies that promote student well-being and prevent tutor maltreatment. Further research is needed to bridge existing knowledge gaps and enhance interventions in this critical area.
Relevance of Internet of Things in Routine Life with Reference to Generation Z
Authors: - Shatakshi Upadhyay , - Vandana
Published: July 2023

Internet of Things has become the integral part in numerous aspects of Z Generation routine life. From their morning routine to fitness schedule to education to knowledge sharing or to work life nothing has been isolated from the usage of IoT. Gen Z is the first generation cohort who has access to IoT from the very tender age. The dependence on IoT is unavoidable in case of Gen Z as IoT has penetrated almost in every aspect of their routine life. This review study on Relevance of IoT in routine life with special reference to Gen Z covers the usage and indulgence of IoT in their routine life for different aspects.
Cost Minimisation Analysis of Iv Antibiotics
Authors: - Chitra B , - Abhirami Jose , - Anjali M A
Published: July 2023

Antibiotic resistance is a growing concern worldwide. Minimizing the use of antibiotics is essential to slow this trend. Cost minimisation is also important, as antibiotics can be expensive. Implementing policies to encourage responsible use and developing new treatments can help reduce the need for antibiotics. By doing so, we can protect the efficacy of current antibiotics and save money in the long run. The present study focused on evaluating IV antibiotics and conducting a cost minimization analysis. The study compares the maximum and minimum prices of various branded and generic antibiotic drugs available in India using CIMS 2022 edition. The cost ratio and cost variation percentage for individual drugs were calculated and compared. The highest percentage of cost variation was seen among Gentamicin 80 mg, Meropenem 1 gm, Piperacillin + Tazobactam 4.5 gm and the lowest percentage of cost variation was seen among Vancomycin 1gm, Linezolid 600 mg and Vancomycin 500 mg. The findings indicated that the selection of appropriate antibiotics is crucial in ensuring effective cost minimization of antibiotic usage among patients.
Emerging Trends of E-Commerce: Challenges and Opportunities
Authors: - Dr.Chandni Jain , - Dr. Payal Goyal
Published: July 2023

Electronic commerce (E-Commerce) means purchasing & selling of goods & services by the traders through electronic channels. Customers take benefits of low prices of products offer by the traders & companies. At present due to the popularity of e-business there is a remarkable growth in buying & selling of products & services worldly. The purpose of this paper is to discover the present situation of Electronic Commerce in Indian economy. It also studies the challenges and advantages of e-commerce. This paper is focused on the new arising factors of E-commerce benefits and obstacles and also explains that the potential of growth of electronic commerce in Indian economy is satisfactory.
Unveiling Biological Synthesis of Metal Nanoparticles, their Characterization and Scopes : A Review
Authors: - Priyanka Dahiya , - Manjeet Kaur , - Jitender Rathee , - Anshul Sharma
Published: July 2023

Due to their distinct physico-chemical characteristics and prospective uses in a variety of disciplines, nanoparticles (NPs) have attracted a lot of attention recently, including plant science. Green synthesis methods, which utilize environment friendly and sustainable approaches, have shown to be an effective approach to fabricate NPs for plant-related applications. This paper seeks to give a general overview of the green synthesis methods used to create nanoparticles and their uses. We discuss the advantages of green synthesis, including reduced environmental impact and enhanced biocompatibility. Furthermore, it highlights the properties, characterization, synthesis of nanoparticles and potential roles of green synthesized nanoparticles in agricultural, antitumor, oxidative, larvicidal and microbial activity.
Shakespeare’s Hamlet: a Tragedy of Moral Idealism
Authors: - ARUN KUMAR SINGH
Published: July 2023

Hamlet, it goes without saying, is one of Shakespeare’s major tragedies. There are people who tried to interpret the tragic nature of this play in different ways. The first group of these people holds the view that the hero of this play suffers from the fatal flaw of inaction, and as such Hamlet is called a tragedy of delay or inaction. In support of this view point these people tell us that in spite of what the ghost of his father narrates to Hamlet and in spite of the ghost’s occasional appearance to encourage hamlet to fulfill the mission, he does not kill Claudius. It is difficult to accept this thesis. There are others who maintain that the hero of this play is a sentimental fool, a man of weak nerves, a mere daydreamer, and they therefore suggest that the tragic content of the play lies contained exclusively in sentimentality or nervous collapse. This view also is untenable. Hamlet, then, is neither a tragedy of delay nor of inaction, nor is it a tragedy of sentimental deviation; it is, really speaking, a tragedy of moral idealism. Hamlet is a character who may in all respects be called a moral idealist.
Ethical Dilemmas in Leadership: Navigating Difficult Situations with Integrity
Authors: - Yasmeen Taj
Published: July 2023

Ethical leadership is crucial in today's complex business landscape, as it sets the tone for organizational culture, guides decision-making processes, and shapes team behaviors and values. Ethical leaders prioritize transparency, honesty, accountability, and integrity, setting a positive example for others to follow. Research consistently shows the positive impact of ethical leadership on organizational outcomes, such as trust, credibility, employee engagement, and a culture that values ethical conduct. Organizations need to develop and nurture ethical leaders at all levels by providing training and development opportunities that enhance their ethical decision-making capabilities, broaden their understanding of ethical issues, and equip them with the skills necessary to address complex ethical dilemmas. This study examines the significance of effective ethical leadership development programs and strategies, examining key components such as training methodologies, content, and implementation approaches.

Additionally, it explores the role of organizational culture in supporting ethical leadership and creating an environment conducive to ethical decision-making. By understanding the factors contributing to ethical leadership development, organizations can take proactive steps to foster ethical behavior, prevent misconduct, and promote a culture of integrity. The findings will provide valuable insights and practical recommendations for organizations seeking to enhance their ethical leadership capabilities and establish themselves as responsible and trustworthy entities in the eyes of their stakeholders.
Rural Decentralisation Amid the Political Instability: a Case Study of Gorkhaland Territorial Administration Region of West Bengal
Authors: - Bhumika Rai
Published: July 2023

The 73rd and 74th Constitutional Amendment acts, established Panchayat Raj Institutions in India through which it formed the panchayats and municipalities and the elected local governments under it. It devolved the local governments more powers and responsibilities. The Constitution mandates the panchayats and municipalities in the grassroot level be elected every five years and States are required to delegate tasks and responsibilities to them through legislation. However, in Darjeeling Hills since the violent Gorkhaland crises of 1982-88 and the founding of the autonomous body Darjeeling Gorkha Hill Council (DGHC) in 1988 for the economic, social, cultural and educational advancement of the people of Darjeeling hills, the three tier Panchayat system has lost its relevance. From then onwards, the decentralisation of power in the Darjeeling hill area has been curtailed. The case of decentralisation in rural Darjeeling hills is distinct from that in other parts of the country and even within the state. People at the grassroots level no longer participate in Panchayat elections. There is a bigger loophole in the decentralisation setup in the village level of Darjeeling hills. Right now under GTA, the two tier Panchayat election is going to be conduct in the Hills. The study focuses on the nature of decentralisation in Darjeeling hills how the historical practice of decentralisation is practiced, the existing nature and will try to answer how will it shape if the two tier election is conducted in the near future.
The Influence of Gender and Representation: Assessing the Impact of Female Political Leaders in Different Countries
Authors: - Dr. Mukta Jain
Published: July 2023

This section includes information about the discussion that is going to take place in this whole report. The primary discussion of this report is based on the influence of gender and representation and the impact on female political readers across the world. First, the aim and the objectives of this research are going to be discussed followed by a literature review. The effect of female political pioneers can shift contingent upon different factors like the political setting, cultural standards, and individual administration styles. It is vital to take note that the effect of female political pioneers isn't uniform across nations.
Opportunities in Ensuring Forensic Science Reliability in Criminal Proceedings in India
Authors: - Adv. Deepali Shivaji Bhalshankar
Published: July 2023

One of the most important aspects of a criminal investigation is forensic science since it is exact, accurate, and increases the likelihood of passing a preliminary examination or test. Due to its scientific nature, it plays a key part in the criminal equity system. Forensic science is an umbrella term that includes several scientific subjects and almost all clinical specializations; it is most definitely not one topic. The wider corpus of laws serve as the framework under which the discipline of forensic evidence functions. Since it is significantly less accessible to the general public, addressed report assessment (QDE) is one of the less commonly investigated subjects in the exploration function area. The proposed essay makes an intentional effort to understand the validity of the methods used to ensure the legitimacy of addressed documents in Indian Official courtrooms as a result. A subjective and quantitative exploratory technique is used to support the examination of 200 respondents, who effectively function as front specialists and judges/justices in India. The evaluation's results show a clear image of the questionable archive's sufficiency with a manual of factual results.
Sequencing And Phylogenetic Analysis of Microbiota Isolated from Different Types of Street Food Samples by using 16S rRNA Sequencing and Insilico Analysis
Authors: - Sonali Priyadarsini , - Pritismita Mahalik , - Dharitri Priyadarsini , - Rajat Kumar Nayak
Published: July 2023

Street food is the one which is sold by vendors with a stall or maybe shop. Here using five different varieties of street food (Panipuri, Bhel, Momo, Dahibara, Chocolate), using different microbial techniques. Different microbes (Gram +ve and Gram -ve) have been observed, and using medicinal plants like (Neem, Tulsi, Parijat) antimicrobial testing has been done which shows the zone of inhibition and calculated result show the high amount of antimicrobial agent is Nyctanthes arbor-tristis (Parijat) with a zone of inhibition of 15 mm, 26 mm, 22 mm, 27 mm, 13 mm, etc. for 5 different samples respectively. Studies have come across a previously unidentified microbial variety through the use of molecular methods mainly 16S rRNA sequencing. The identification of novel taxa, a shortage of sequences in nucleotide databases, the existence of species with similar and/or identical 16S rRNA sequences, and nomenclature issues brought on by the assignment of multiple genomovars to a single species or complex are all challenges that must be overcome. Sequence data are analyzed using insilico method. To describe the connections between different bacterial strains, phylogenetic trees can be employed. This can detect strains that are very closely linked to one another and show which bacterial strains have been transmitted to whom.
Leaf Disease Detection Using Machine Learning
Authors: - Rajitha V , - Nishitha B S , - Reshma S
Published: July 2023

An overview of a leaf disease detection system using deep learning methods is provided in this abstract. Convolutional neural networks (CNNs) are used in the suggested approach to classify leaf diseases.