bluuebunny/crossref_metadata_2025 huggingface dataset:
Role of Crisper-Cas Technique in Bioremediation of Pesticides
Authors: Chaudhari Manisha , Solanki Krunal
Published: November 2023

Pesticides, insecticides, certain pharmaceuticals, chemically dangerous chemicals which can pollute the environment. Pesticides are primarily used to manage plants, flies, parasitic fungus, and parasites in crop fields. The desire to limit pesticide effects on soil and offsite environments has encouraged research interest in pesticide and related chemical biodegradation. As a result, quick and safe agents for environmental bioremediation, individual decontamination, and therapeutic detoxication are urgently needed. Bioremediation is environment friendly so if we use such kind of technique then more helpful. The ability of microorganisms to degrade complex chemical substances in the environment is referred to as bioremediation. The discovery of CRISPR, mechanism of the CRISPR-based nuclear adaptive immune system "CRISPR associated system, Cas", and its diversion to powerful tools for gene editing revolutionize the field of molecular biology. Brought about and stimulated new and improved gene therapy. By using CRISPR technique transfer desired gene and decrease toxic elements.
Harnessing the Genetic Variability and Trait Association of Yield and Yield Related Traits in Rice (Oryza sativa L.)
Authors: Kumar Lodhi Lavkesh , Singh Bineeta , Chowhan Shraddha
Published: November 2023

The present investigation was conducted to examine the 17 bread rice genotypes including one check to study the genetic parameters, correlation and genetic diversity. The experiment was carried out in Research Farm Genetics & Plant Breeding of AKS University, Satna, M.P., during kharif season, 2021-22 in Randomized Block Design (RBD) with three replications. Analysis of variance showed highly significant differences among 17 bread rice genotypes for 14 characters studied. The statistical analysis of variance showed significant differences among genotypes for all 14 traits, including days to 50% flowering, plant height, effective tillers per plant, flag leaf length, maturity, panicle length, kernel length and width, test weight, harvest index, biological yield per plant and grain yield per plant. The results showed that these genotypes of rice crops have short flowering period, tall plant height, many effective tillers per plant, long flag leaf, long panicle and high grain yield per plant. The coefficients of variation were low, indicating little variation within the genotypes for each trait. The study results suggest significant variations in the characteristics of different genotypes of rice crops and can be useful for crop improvement. The genotypic correlation coefficients were generally higher than the phenotypic ones. Traits related to reproductive growth, such as number of effective tillers per plant, number of seeds per panicle, and harvest index, had positive effects on grain yield per plant, while traits related to vegetative growth, such as days to 50% flowering and plant height, had negative effects. The path coefficient analysis indicated that biological yield per plant and harvest index had the maximum positive effect on grain yield per plant, while spikelet’s per spike, grain per spike, effective tiller per plant, days to maturity, and days to 50% flowering had the maximum negative effect. These findings provide valuable insights for rice crop improvement.
Application of Cold Plasma in Food Science: A Novel Technique
Authors: Srivastava Kajal , Habiba Begum Namrata
Published: November 2023

Fresh and safe food is the demand of customers in past decade, to fulfill this demand various novel technologies are being employed on food, one such technique is being discussed in this review i.e., Cold Plasma. Recently cold plasma has proven to be a budding technique primarily in food preservation sector. The main highlight of this technique is minimum heat damage, also the processing time to kill pathogens is considerably low as compared to other techniques. It is being utilized in killing pathogenic micro-organisms in various sectors of food. In this review we will see the mechanism behind generation of cold plasma as well as its types. The paper also summarizes its effect on different food sectors such as milk, meat, packaging, fruits, vegetables etc. Cold plasma is also being utilized in altering the food components as well as packaging materials. Despite being a promising option, the technique still is under scrutiny due to challenges faced by researchers which will be discussed briefly.
Assessment of Health Hazardous Pesticide Residues by GCMS in Langra Variety of Mango (Mangifera indica L.) in Modinagar (Ghaziabad) Area Orchards
Authors: Kumar Virendra , Kashyap Amar Singh , Kumar Arun , Dwivedi Vandana
Published: November 2023

The use of pesticide residue in Langra variety of mango by farmers of local area was studied. The pesticides residual loads assessments were seen in the soil and orchard during the cultivation. The farmers used the pesticide viz. Dichlorovos, Phorate, Diazinone, Fenitrothion, Malathion, Chlorpyrifos and Ethion to obtain high production. Three samples of Langra variety were collected from different orchards of Modinagar region. About 1 kg sample of each field (orchard) was sealed in polythene bag and there after cleaning the pulp it was analysed by GCMS. The validity was checked by standard solution. The entire sample was found under the MRLs limit recommended by FSSAI. The over use of chemicals was seen bad effect on the health of community. The present study concluded that the regular monitoring is must for the public health.
Studies on Influence of Growth Retardants in Increasing Yield and Quality in Bellary Onion (Allium cepa var. cepa)
Authors: Manivannan M. I. , Joshua J. Prem
Published: November 2023

A field experiment was conducted during rabi (2017) at the Department of Horticulture, Agricultural College and Research Institute, Killikulam to study the effect of growth retardants on yield and quality of bellary onion. The field trial was laid out during December 2018 and the crop was transplanted during February 2019. The plants were sprayed with plant growth retardants in different concentrations viz., Chlormequat 500 ppm, Chlormequat 1000 ppm, Mepiquat chloride 500 ppm, Mepiquat chloride 1000 ppm, Brassinolide 0.250 ppm, Brassinolide 0.500 ppm, Daminozide 500, ppm, Daminozide 1000 ppm and Control. All the treatments showed significant difference for various growth and yield attributing characters. Mepiquat chloride (500 ppm) reduced the number of days taken for maturity (127.30) significantly over control (135.66). Marketable yield of bulb per plot is directly and positively correlated with the bulb weight and the maximum was recorded with Mepiquat chloride @ 500 ppm (17.97 kg) and minimum recorded in control (12.45 kg). Hence, it is concluded that that the foliar spray of Mepiquat chloride 500 ppm improved the bulb weight and the resultant bulb yield per hectare.
Economic Analysis of Production of Bajra in Alwar District of Rajasthan, India
Authors: Yadav Ashish , Ratnaparkhe A. N. , Shinde H. R. , Bhosale A. S. , Bavadekar V. R. , Lohar Sudarshan
Published: November 2023

The present study entitled, ‘Economic analysis of production of Bajra in Alwar district of Rajasthan’ is based on a sample of 90 Bajra farmers drawn from Behror and Neemrana tahsil of Alwar district. The present study was undertaken with per hectare costs and returns of Bajra production and resource use efficiency of inputs. The factors affecting yield of Bajra production were estimated by using the Cobb-Douglas type production function. The data pertained to the agricultural year 2020-21. The study revealed that per hectare cost of cultivation was Rs.23858.83. Average per hectare gross income was Rs. 33358.50. The benefit-cost ratio was 1.40 at overall level which indicated that Bajra production in the study area is profitable. The functional analysis was also carried out by using Cobb-Douglas type of production function. The appropriateness of estimated model and the variable incorporated in model were tested by estimating R2 value. The result of Cobb-Douglas production function revealed that male labour, female labour, manure, Nitrogen, phosphorus, potassium, irrigation charges and plant protection charges were found significant thereby influencing the productivity of Bajra. The resource use efficiency results revealed that there is scope for increasing the use of Manure, Nitrogen, phosphorus, potassium, irrigation charges and plant protection charges for Bajra production to obtain higher gross returns.
How does atmospheric pressure cold helium plasma affect the biomechanical behaviour on alkali-lesioned corneas?
Authors: Neri Simona , Mascolini Maria Vittoria , Peruffo Antonella , Todros Silvia , Zuin Matteo , Cordaro Luigi , Martines Emilio , Contiero Barbara , Carniel Emanuele Luigi , Iacopetti Ilaria , Patruno Marco , Fontanella Chiara Giulia , Perazzi Anna
Published: November 2023

Background - Melting corneal ulcers are a serious condition that affects a great number of animals and people in the world and it is characterised by a progressive weakening of the tissue leading to possible severe ophthalmic complications, such as visual impairment or blindness. This disease is routinely treated with medical therapy and keratoplasty, and recently also with alternative regenerative therapies, like cross-linking, amniotic membrane transplant and laser. Plasma medicine is another recent example of regenerative treatment that showed promising results in reducing microbial load of corneal tissue together with maintaining its cells vitality. Since the effect of helium plasma application on corneal mechanical viscoelasticity has not yet been investigated, the aim of this study is first to evaluate it on ex vivo porcine corneas for different exposition times, and then to compare the results with previous data on cross-linking treatment.
Results - 94 ex-vivo porcine corneas divided in 16 populations (healthy or injured, fresh or cultured corneas and treated or not with plasma or cross-linking), were analysed. For each population, a biomechanical analysis was performed by uniaxial stress-relaxation test and a statistical analysis was carried out considering the characteristic mechanical parameters. In terms of equilibrium normalized stress, no statistically significative difference resulted when the healthy corneas were compared to the lesioned plasma-treated ones, independently of the treatment time, contrary to what was obtained in relation to the cross-linking treated corneas exhibiting more intense relaxation phenomena.
Conclusions - In this study, the influence of the Helium plasma treatment on the viscoelasticity of ex vivo porcine corneas was observed, by restoring in lesioned tissue a degree of relaxation similar to the one of native tissue, even after only 2 minutes of application. Therefore, the obtained results suggest the plasma treatment as a promising new regenerative ophthalmic therapy for melting corneal ulcers, laying the groundwork for further studies to correlate the mechanical findings to corneal histology and ultrastructural anatomy after plasma treatment.
Development of community-based, cultural-specific infant and young child feeding education material in rural Eastern Cape Province, South Africa: a study protocol
Authors: Makwarela Vhutshilo , Havemann-Nel Lize , Burger Hester-Maria , Lombard Martani J
Published: November 2023

Background
Undernutrition, including stunting, continues to impact child health globally. Stunting remains persistent in low and middle-income countries, including South Africa. The Eastern Cape Province has a high stunting prevalence. Contributing factors include poor infant and young child feeding, lack of infant and young child feeding knowledge, and detrimental cultural-specific practices. Understanding specific barriers preventing improved infant and young child feeding is important to ensure the United Nations’ sustainable development goals are met by 2023. The Health Belief Model contributes to developing effective, cultural-specific nutrition education, resulting in positive behaviour change. Applying design thinking while developing education material encourages engagement with local stakeholders/communities to deliver cultural-specific content. This paper outlines the protocol designed to develop material for a community-based, cultural-specific infant and young child feeding education for mothers/caregivers living in rural areas of the Eastern Cape Province, South Africa.
Methods
The study will be conducted in three phases. Phase 1 will use qualitative and quantitative secondary data to conduct a situational analysis of socio-demographic factors, anthropometric profiles, and feeding practices of infants and young children (0–24 months). In Phase 2, a knowledge, practices, and perceptions questionnaire will be developed to quantify infant and young child feeding knowledge, practices and perceptions and to measure the impact of the intervention. Published literature, focus group discussions, and expert opinion will be used. Phase 3 will use the Health Belief Model to develop a conceptual framework, with design thinking constructs as a method to develop the content of the infant and young child feeding education material.
Discussion
This study will provide a detailed analysis of the situation in the community, develop a questionnaire to quantify the effect of knowledge, practices and perceptions on nutrition, and ultimately provide cultural-specific infant and young child feeding education material. It is anticipated that, when implemented, this approach will positively improve maternal/caregiver knowledge, practices and perceptions, provide valuable information on the impact of culture, and ultimately result in improved child growth and diet.
Variability of Ionospheric Total Electron Content over some American, Asian and African Equatorial Stations
Authors: AKINYEMI Gbenga A.. , Ikubanni S. O. , Sanyaolu M. E. , Rabiu A. B.
Published: November 2023

The Earth’s ionosphere is a highly dynamic region, which interferes with radio wave propagation in the shortwave and L-band frequency. In this study, total electron content (TEC) data derived from the International Global Navigation Satellite System (GNSS) Service (IGS) over four stations were used to investigate the diurnal, seasonal and solar activity effects on ionospheric TEC variability. The stations with their respective geomagnetic latitudes are: DGAR (-16.89o), MBAR (-10.22o), BOGT (-3.80o) and AHUP (12.23o). Analysis of the diurnal variation showed that, across all the stations for all seasons, the nighttime values (ranging between 13 and 143%) are higher than the daytime values (ranging between 7 and 60%). The nighttime values showed two peaks in the range 35–143% during the post-midnight hours and 36–74% during the post-sunset hours. The diurnal-seasonal variation does not exhibit a regular pattern in any station. At three of the four stations considered, highest TEC variability was observed during low solar activity and lowest during high solar activity, particularly during the nighttime. On the average, considering all the seasons together, minimum TEC variability (7%) was observed at MBAR during March Equinox of the year of moderate solar activity and maximum (143%) was observed at AHUP during December Solstice of the year of low solar activity.
Determinants To Consumer’s Shopping Preferences
Authors: Matyus Jason M. , Mergenthal Braxton T. , Gonzalez Zachary , Bilodeau Teddy
Published: November 2023

How people prefer to shop is an ever-changing landscape. There has been a boom in online shopping since the first online shopping purchase in 1994. With the end of the pandemic, retailers and other businesses need to know whether this increase will continue. Online shopping preferences: safety, technology, branding, and customer experience were explored to determine the current determinants of shopping preferences. A phenomenological design was used to examine the lived experiences of six shoppers who represent the most popular demographic of online shoppers. This study presents a clearer understanding of what business marketers need to understand about the online shopping decisions of shoppers.
Creating a Successful League of Their Own: An Empirical Exploration of the All-American Girls Professional Baseball League
Authors: York Kenneth M. , Miree Cynthia E.
Published: November 2023

The All-American Girls Professional Baseball League (AAGPBL) was created during World War II, when many male major and minor league baseball players became soldiers. While the league achieved some success from various perspectives, the question remains: Was the AAGPBL able to create “a league of their own” with competitive balance comparable to the men’s leagues of Major League Baseball (MLB)? We analyzed performance team data to determine whether the league had competitive balance comparable to MLB-American League (MLB-AL) and MLB-National League (MLB-NL), on three measures of within-season, three measures of across-seasons, and one measure of inter-seasonal competitive balance, for the 12 seasons of the AAGPBL. The results showed that AAGPBL created a league with competitive balance comparable to both MLB-AL and MLB-NL on all seven measures.
Different Disease Prediction
Authors: Mankar Aayush , Pawar Atharv , Pore Akash , Waghmare Amar
Published: November 2023

Abstract: One of the most significant subjects of society is human healthcare. It is looking for the best one and robust disease diagnosis to get the care they need as soon as possible.The task of following new approaches is challenging these disciplines, moving beyond the conventional ones.The actual number of new techniques makes it possible to provide a broad overview that avoids particular aspects. To this end, we suggest a systematic analysis of human diseases related to machine learning. This research concentrates on existing techniques related to machine learning growth applied to the diagnosis of human illnesses in the medical field to discover exciting trends, make unimportant predictions, and help decision-making.This paper analyzes unique machine learning algorithms used for healthcare applications to create adequate decision support.This paper intends to reduce the research gap in creating a realistic decision support system for medical applications. .Datasets are used in this project for predictions. Random Forest algorithm is to create multiple decision trees during training and then combine their predictions to obtain a more accurate and robust model. Ensemble models based on deep learning have made significant contributions to the medical field, particularly in the area of disease prediction. Breast cancer is a highly aggressive disease with a high mortality rate. Timely and effective prediction of breast cancer can reduce the risk of it progressing to later stages and the need for unnecessary medications. This study proposes a novel machine learning algorithm to predict the AD progression utilising a multi-task ensemble learning approach. Specifically, we present a novel tensor multi-task learning (MTL) algorithm based on similarity measurement of spatio-temporal variability of brain biomarkers to model AD progression. In this model, the prediction of each patient sample in the tensor is set as one task, where all tasks share a set of latent factors obtained through tensor decomposition. Furthermore, as subjects have continuous records of brain biomarker testing, the model is extended to ensemble the subjects’ temporally continuous prediction results utilising a gradient boosting kernel to find more accurate predictions
A Survey: Cryptography Techniques for Communication System
Authors: Vanjari Prof. Ms. S. P. , Bhangale Vaishnavi , Singh Deepti , Andhale Nitin , Dalavi Amruta
Published: November 2023

Abstract: Sensitive data is being used more and more in online communication these days. Therefore, internet consumers' top concern is data security. The best course of action is to utilize a cryptography technique that encrypts data, translates it over the internet, and then decrypts it back to the original data. The process of securely transmitting data is the focus of the field of cryptography. The intention is to prevent eavesdroppers from comprehending a message while enabling the intended recipients to receive it correctly. A collection of methods known as cryptography are used to jumble or hide data so that only a person skilled in data restoration may access it in its original format. Cryptography offers modern computer systems a robust and costeffective foundation for maintaining data secrecy and confirming data indignity. While our traditional cryptography techniques, like RSA signature and AES encryption, function well on computers with respectable amounts of RAM and computing capacity, they are not well suited to the realm of embedded systems and sensor networks. As a result, techniques for lightweight cryptography are put forth to address numerous issues with traditional cryptography. This work develops a new hybrid method of plaintext encryption with the goal of adding to the body of knowledge in the field of classical cryptography. For an additional degree of protection, the cryptosystem employs three distinct numerical and alphabetical keys in cipher. Super Cipher is the name given for the new proposed cipher.
Stock Market Prediction Using Deep Learning
Authors: Soni Akash , Pandey Vaibhav , Yadav Saumya
Published: November 2023

Abstract: The stock market represents a dynamic and complex system influenced by various factors, making accurate prediction of stock prices a challenging task. In this investigation, we utilize deep learning techniques to boost the precision of predictions in the stock market. Specifically, we employ Long Short-Term Memory (LSTM) networks to analyze historical stock data and capture intricate patterns that traditional methods may overlook. Our methodology encompasses meticulous data preprocessing, encompassing feature selection and normalization, ensuring the optimal functionality of the chosen deep learning model. The dataset utilized, derived from NSE, provides a robust foundation for training and testing our model. Evaluation metrics, gauge the model's performance
Enhancing Power Factor on LED Light Driver with Boost and Fly Back Converter Integration
Authors: Gowthaman Dr. A. , Arulmozhi Er. K.
Published: November 2023

Abstract: This paper describes the practical application of a power converter in order to enhance the power factor of an LED light driver. The power converter employed in this system is a combination of a boost converter and a fly back converter. The power factor correction functionality of the boost converter is achieved by the implementation of discontinuous conduction mode operation, which enables the converter to function as a resistive converter. Hence, in the case of a rectifier circuit providing power to a resistive load, the current flowing back to the source will exhibit the same waveform as the voltage. Consequently, this results in a power factor value close to unity (1). Based on the findings of the conducted experiment, it has been seen that the use of the BIFRED converter as a driver for LED lamps yields a notable enhancement in power factor, elevating it from 0.84 to 0.98. Furthermore, it has been determined that this particular driver circuit adheres to the prescribed line-current harmonic thresholds established by the IEC61000-3-2 class C standards
Power Transformer Numerical Modeling to Locate Partial Discharge Source Using the UHF Technique
Authors: Dukanac Đorđe
Published: November 2023

Using three-dimensional full-wave electromagnetic simulations with Ansys HFSS, this paper analyses the effect of the actual design of a small power transformer on the propagation of ultra-high frequency (UHF) waves from a partial discharge (PD) source to four UHF antennas. Based on these results, the goal is to localize the source of PD. Three power transformer models of different complexity are used to do that. Due to the effects of their all taken into account reflections and diffractions caused by the metal parts in the power transformer, the received PD waveforms at UHF sensors are distorted to an appropriate extent. Time differences of arrivals (TDOAs) of the signals at pairs of four simulated UHF sensors are investigated to estimate the location of the PD source. The benefits of this assessment of the PD source location using this simulation software are analysed.
Effect of whole-grain flour addition on bread sensory quality
Authors: Tauferová Alexandra , Hellingerová Hana
Published: November 2023

Regarding the consumption of whole grains and fiber, the majority of the population falls short of the recommendations of health organizations. The aim of the study was to evaluate the effect of the type and content of whole-grain flour on the sensory properties of breads. A total of sixteen experimental bread samples were prepared, containing varying proportions of different types of whole-grain flours. Both quantitative descriptive analysis and hedonic analysis were carried out by using categorical ordinal scales. Differences in the graininess of the individual samples were sensorially well discernible. In addition, slightly reduced chewability was described for samples with a higher addition of whole-grain flour. No problems with cohesiveness, increased hardness or unpleasant taste were perceived in the experimental samples. More significant differences were perceived in terms of color intensity. Hedonic ratings for taste, aroma and texture were within narrow ranges and in all cases reached values corresponding to a rather positive evaluation. All experimental samples of breads containing whole-grain flour were rated better from a hedonic point of view compared to the control made from conventional low-milled wheat flour. The addition of 30% whole-grain flour appears to be the most optimal.
The use of web-GIS and crowdsourcing in the acquisition of historical data on the example of Polegli1939 project
Authors: Zawadzki Mateusz , Stadnicka Maria , Lupa Michał , Adamek Katarzyna
Published: November 2023

The historical Polegli1939 geoportal is probably the first thematic portal using spatial-temporal databases to present information on people killed during the World War II. In this study, we address the problem of capturing, processing and sharing historical information by supplementing it with a spatial attributes. The aim of the study is to determine the role of crowdsourcing data and the use of web-GIS applications in the process of obtaining and verifying historical information. The study was carried out as part of the implementation of the “Spatial database of soldiers killed in warfare” project, which is also known as Polegli1939. In order to achieve this goal, we acquired information using three methods: manual, automated and Volunteered Geographic Information (VGI). Making spatial data available through the Polegli1939 geoportal enables users to popularize and verify it. The method includes a geospatial web platform (GeoWeb) as well as a VGI application with an integrated process for verifying submitted information. As a result of the project, nearly 35,000 records were obtained. Making the project available to a wider audience opens up the possibility of extending the presented research or replicating it in other countries, taking into account a wider chronological range than just World War II.
Evaluation of the Effect of Microwave Irradiation and Die Hardener Application on Surface Hardness of Type IV Dental Stone
Authors: Fadhil Dulaimi Suha , E. A. Al-Jorani Lateef
Published: November 2023

Type IV dental stone play an important role during fabrication of indirect dental restoration. It should be accurate in every respect, dimensionally stable over time, hard enough to with stand fabrication process resistant to the inadvertent abrasions caused by fabrication. The aim of present study was to evaluate the effect of microwave irradiation and die hardener application on surface hardness of type IV dental stone. Two commercial brands of type IV dental stone (Spofadental/ Czech, Zhermack/ Italy) were evaluated. 30 samples were prepared from each brand and left to dry for 24hr. After that divided into three groups, control group (10 samples withou t treatment), 10 samples subjected to microwave irradiatio n at 650 watt output power and 2450 MHZ for 10 mint. And 10 samples painted with die hardener. Surface hardness measured with Shore C (Durometer, Digital hardness tester). The die hardener application not affect surface hardness of both brands (P>0.05). However microwave irradiation increase surface hardness of Spofadental Type IV dental stone. But reduce surface hardness of Z hermack Type IV dental stone. After 24hr. of pouring Type IV dental stone (Spofadental / Czech, Zhermack / Italy) die hardener application not affect surface hardness. However surface ha rdness of Spofadental Type IV dental stone may be improved with microwave irradiation. But Zhermack Type IV dental stone s howed reduction in surface hardness after microwave irradiati on.
Enfermería: Atención medico quirúrgica con una mirada humanista
Authors: Alay Garcia María José , Delgado Bernal Doris Susana , Pisco Soledispa Cristina Monserrate , Rodríguez Delgado Edwin Damián , Anchundia Lopez Alexandra Marianela , Cifuentes Velásquez Yandry José , Balarezo Cedeño Silvia Lorena , Quijije Castro Martha María , Villavicencio García Tatiana Alejandra , Pachay Pachay Nataly Daniela , Bravo Bonoso Delia Georgina , Alava Bravo Erick Ismael
Published: November 2023

«La enfermería es un arte progresivo, en el cual permanecer inactivo es haber fracasado.” La Enfermería tiene características que la hacen única en la prestación de servicios de atención a la salud que requieren de un acondicionamiento y capacitación precisos para trabajar con el arte, la disciplina y la ciencia que hacen única a esta profesión. La atención de enfermería es un aspecto que requiere una formación clínica estandarizada. Esto se debe a que las acciones deben realizarse de forma rápida, coordinada y precisa, y el razonamiento clínico y la toma de decisiones se ven obstaculizados por la sobrecarga del contexto cognitivo. Este libro resulta una fuente de información general y estructurada, basada en investigaciones y estudios referentes al cuidado de enfermería intensiva quirúrgica y, como esta es concebida desde todo el personal que labora en instituciones sanitarias, así como, en los organismos internaciones, se desarrolla los fundamentos generales de esta disciplina y su impacto en el bloque quirúrgico. El punto central de la profesión, se basa en la ética del cuidado, la cual es responsable del cuidado formal de las personas y las comunidades, una profesión históricamente creada por mujeres sensibles a la salud. Cargada emocional y éticamente por prejuicios de género, es necesario considerar el espacio asignado a la esfera emocional en la enfermería formal como una característica íntima y exclusiva de la naturaleza social de la profesión. Es por esto que, constituye una bibliografía esencial y recomendado para cualquier profesional de la salud o miembro de la comunidad que pueda encontrarse con un paciente en paro cardíaco. Todos los capítulos del libro describen muchos aspectos de esta condición clínica en un formato actualizado, brindando una perspectiva integral, práctica del tratamiento y el quehacer de la practica enfermera.
Developing affective learning strategies for science education: A literature review
Authors: Nurhayati Pipih , Fuadiah Dzikra , Yustiana Yusi Riska
Published: November 2023

This study aims to identify innovative, effective learning strategies in science education through a comprehensive literature review. The research utilized trusted databases, WoS and Scopus, which resulted in 19 scholarly articles that met specific inclusion and exclusion criteria. A total of 509 articles were obtained through keyword identification, then through the screening and eligibility stages, and 19 articles that met the criteria were retrieved. The findings underscore the importance of practical assessment and profiling in gaining valuable insights into students' emotional states and competencies. Moreover, the student-centered approach enhances self-awareness and establishes a deep emotional connection with scientific principles. This study highlights the substantial impact of the educational environment and teacher effectiveness on students' affective experiences, emphasizing the importance of fostering a positive and supportive learning atmosphere. The practical learning strategies identified have the potential to contribute to the advancement of science education by promoting emotional engagement and enhancing students' overall learning experience.
Analysis of the quality of students science research ideas through the implementation of research-based learning models
Authors: Syazali Muhammad , Widiada I Ketut , Zain Mohammad Irawan
Published: November 2023

Learning that focuses on achieving product mastery is not optimal in facilitating students to create quality research ideas. In this research, we implemented MPBR to analyze the quality of science research ideas from students. To collect research ideas from students, the documentation method is used. Documents as qualitative instruments obtained through this method are assessed based on four criteria. They are suitability to the scope of scientific studies, the presence of research problems, the accuracy of the editorial title formulated from the research problem, and the urgency of the study variables. The data obtained was analyzed quantitatively and qualitatively. The quantitative analysis that we carry out is proportion analysis. The qualitative analysis includes data reduction, visualization, and conclusion. We found that all research ideas are within the scope of scientific studies and are based on research problems. However, only some scientific research ideas have appropriate title formulations, and the variables need to be studied further through the research process. This has implications for the overall quality of research ideas. The quality of research ideas in the outstanding category is 44.06%. The proportion in the good category is 14.68%, and the remainder is in the fair category, with a ratio of 41.26%. The conclusion is that implementing the PBR model effectively trains students to create scientific research ideas based on problems they find in the surrounding environment.
Neurobiologia do condicionamento pavloviano e condicionamento operante.
Authors: Silva Welington dos Santos
Published: November 2023

O condicionamento pavloviano e o condicionamento operante são formas de
aprendizagem associativa nas quais os seres humanos e outros animais aprendem a
associar eventos ou estímulos que ocorrem em sequência ou em conjunto.
Condicionamento operante foi o termo proposto por Skinner para designar a forma de
aprendizagem associativa onde um comportamento específico é moldado pelas
consequências positivas ou negativas que o seguem. Abordar a neurobiologia destes
condicionamentos nos remete ao trabalho gigantesco de Skinner neste campo e sua
insistência na questão central de que comportamentos são eminentemente relações
funcionais entre estímulos e respostas e que processos neurofisiológicos não são
"agentes" responsáveis pela origem ou controle do comportamento. No entanto Skinner
reconhecia que processos fisiológicos reais que mediam as relações comportamentais têm
a vantagem de eventualmente prescindir das informações históricas das interações do
organismo com o ambiente. E embora o estudo de eventos fisiológicos pela neurociência
e a análise do comportamento estejam em dois níveis diferentes de investigação, os
grandes progressos recentes nas neurociências podem fornecer elementos de
compreensão sobre o comportamento que eram impensáveis na época de Skinner. O
objetivo deste estudo é uma revisão narrativa da literatura sobre os avanços recentes na
compreensão das bases neurais envolvidas no condicionamento pavloviano e
condicionamento operante com enfoque nos avanços na neurociência favorecedores de
uma descrição fisiológica do comportamento incluindo mecanismos moleculares da
aprendizagem e alterações anatômicas induzidas por formas simples de aprendizagem.
A study on amino acid composition and distinctive traits of collagen isolated from the skin and bone of an endemic pearl mullet species, Alburnus tarichi (Güldenstädt, 1814)
Authors: Mustafa GÖÇER  , Yasemen YANAR  , Muhsin AYDIN
Published: November 2023

In this study, acid soluble collagen was extracted from both the skin (ASC-S) and bone (ASC-B) of pearl mullet Alburnus tarichi (Güldenstädt, 1814), and a comprehensive characterization was conducted, which included determining their amino acid profiles. This study represents the first-ever utilization of this particular species as a source of collagen. Notably, both ASC-S and ASC-B, extracted from the skin and bone of pearl mullet, exhibited glycine as the predominant amino acid, along with substantial levels of proline, hydroxyproline, alanine, and glutamic acid. In terms of dry weight percentages, ASC-S yielded 7.7%, while ASC-B yielded 2.5%. Additionally, Fourier transform infrared spectroscopy (FTIR) confirmed that both types of collagens were in their natural integrated state, while X-ray diffraction (XRD) analysis verified that the collagen in both skin and bone maintained their helical structures. UV-Vis spectra showed significant absorptions at 230 nm for the examined collagens. Furthermore, scanning electron microscope (SEM) examinations revealed the porous and fibrous nature of both ASC-S and ASC-B. The amino acid composition, as determined by UV–Vis and FTIR results, categorizes the extracted collagens as type I collagen. Overall, these findings suggest that collagen isolated from pearl mullet has the potential to serve as an alternative source of vertebrate collagens, with promising applications in various industries, including dietary, medical, and pharmaceutical.
Utilization of digestate from anaerobic co-digestion of water hyacinth and poultry waste as a sustainable source of organic fertilizer
Authors: John Ebipuakebina Agori  , Ejiro Rufus Iwemah  , Julius Ogaga Etuke  , Lucky Osiwime Umukoro
Published: November 2023

Urbanization and population boom have resulted in increased crop production. However, the arable lands are not fertile enough to produce the required yield as a result of leaching and other anthropogenic activities, thus forcing farmers to resort to the use of inorganic (synthetic) fertilizers. These inorganic fertilizers though improve crop yield, have serious adverse effects on human health, the environment and soil fertility. Therefore, the need to look for traditional organic fertilizers cannot be emphasized enough. Water hyacinth (Eichornia Crassipes) is one of the world's most destructive, difficult to eradicate and noxious weed that has prolific growth rate of 17.5 metric tons of wet water hyacinth per hectare per day. However, it has high organic content which makes it a potential source for biogas and organic manure production. Also, poultry wastes which when disposed off on land pollutes groundwater and the environment, are also a very good source of organic manure and biogas. These poultry wastes contain high amounts of uric acid, which can damage burners or gasifiers, so mixing the waste with other biomass fuel is a necessity. This study was carried out by co-digesting water hyacinth and poultry droppings for biogas and organic fertilizer production was carried out in a digester. The digester was fed with 70% ground water hyacinth paste (3.5 kg) and 10% poultry droppings (0.5 kg). The digester was stirred gently to facilitate better aeration and porosity. Moisture content, pH, carbon content, nitrogen, phosphorus and potassium were analyzed for every 15 days. After 45 days the product had 30% moisture, 9.67% Carbon with pH 7.26 while the slurry nutrient value measured as nitrogen, phosphorus and potassium (NPK) values were 1.2%, 0.74% and 0.60% respectively. The NPK values are good forms of soil conditioners, but since different crops require varying concentrations of NPK, the specific requirements for each crop should be determined and the corresponding supplement values added. In this study the deficit of the NPK nutrients required for maize cultivation by a 25kg digestate was determined. The digestate was supplemented with 23kg poultry droppings for N, 23.77kg bone meal for P and 24kg wood ash.
Analysis of food security and nutritional status of artisanal fishing communities in Kogi State, North central Nigeria: USDA Food Security Questionnaire Core Module approach
Authors: Haruna Ibrahim Opaluwa  , Meriyahmoh Mero Onimisi  , Gbenga Opeyemi  , David Adama Monday
Published: November 2023

This study evaluated the food security and nutritional condition of households that engage in artisanal fishing in Kogi State North Central, Nigeria. The information for the study was gathered using a standardized questionnaire through a multistage sampling approach from a total number of 399 artisanal fishing households across the fishing communities in the research area. Descriptive statistics and an ordered probit regression model were used to evaluate the data. The United States Department of Agriculture (USDA) 18-item core module questionnaire was used to determine the respondents' food security status, and the Household Dietary Diversity Scores (HDDS) were calculated using data from 16 food groups. Mean age of the fisherfolks was 42 years. They were mostly married (74.19%), male dominated (61.15%), with average household size of 8 persons. More than half (57.14%) utilized hook and line, cages (20.80%) and (42.86%) Dugout plank canoe. The result of the study revealed that (55.89%) of the respondents oscillate between High and Marginal Food Security while (27.07%) and (17.04%) of them were within the Low Food Security (LFS) and Very Low Food Security (VLFS) respectively. Age, marital status, educational status, years of fishing experience, household size and membership of association were factors influencing the level of food security and nutritional status of the artisanal fishers in the study area. The result revealed that close to half (44.11%) of the fishing households were entrapped in the Low Food Secure (LFS) and Very Low Food Secure (VLFS) category. The study findings also revealed that the nutritional status was good as (49.12%) of them were in the High Dietary Diversity category (HDD). The study recommended that strategies aimed on increasing food and nutrition security are needed in fishing communities in the country.
Development of fitness game applications for learning healthy lifestyle using unity game engine
Authors: Jesiebellin Cabral Abilar  , Bryan Besira Artica  , Cesar Ian Rivera Limsiaco  , Dina Pamplona Subade  , Domingo Valenzuela Tanael  , Criselle Jose Centeno
Published: November 2023

A lot of individuals in today's society have a poor understanding of physical fitness and the benefits of adequate nutrition and a healthy diet. As a result, the researchers decided to take an important step in light of the general absence of information on physical fitness and its related benefits. Researchers decided to create a game application that would be a great instrument to impart information and understanding to individuals. The major purpose of this application is to introduce users to a variety of fitness routines, allowing them to experiment with various physical exercises. By doing so, it aims to not only increase people's familiarization with various forms of exercise but also inform them of the numerous benefits of incorporating regular physical activity into their lives. The project is a proactive effort to minimize the knowledge gap while promoting a healthier lifestyle among the users. While conducting the study the researcher considered the problem of first the engagement and how to sustain the user's interest in the application and second the user's understanding of using the application and its functionality third the lack of information that the game developers provided in creating an application and last is how to identify the things that the researcher can do to make the flow of the gameplay improved. the researchers use some of the sub-characteristic of the ISO25010 that are appropriate for evaluating the gaming application. After evaluating the game application, the sub-characteristics of Functional Suitability garnered an overall weighted mean of 3.94 Performance efficiency and Usability both have a 3.81 Security has a 3.56, and Portability 3.82, the researchers used the confusion matrix with the help of the tool of Weka Software using the scheme of weka.classifiers.bayes.NaiveBayes the evaluation on the training set has a summary of Correctly classified instances of 90% and Incorrectly classified instances of 10% it indicates that the application has an accurate algorithm.
Pengembangan Majalah Fisika Pada Materi Usaha dan Energi Terintegrasi Islam
Authors: Rohmadi Mukhlis , Septiana Nurul
Published: November 2023

Reading is one of the most important efforts in the learning process. Student learning outcomes, especially business and energy materials, are still low due to the low interest in reading/student literacy, so media is needed that can increase students' reading interest. The purpose of this research is the development of learning media in the form of physics magazines that Islamic Integrated. The development of Islamic integrated magazine media is proceeds using the ADDIE development model. The results showed the results of material expert assessment with a percentage of 72.2% (feasible), media expert assessment with a percentage of 84% (feasible), and interpretation expert assessment with a percentage of 73.3% (feasible). In the trial, students obtained a good and positive response, by obtaining an average percentage of 79.54% with good and decent criteria. From the data from the expert assessment, the learning media for Islamic integrated physics magazines developed is declared feasible and can be used as a learning medium in Business and Energy materials.
Analisis Bunyi pada Budaya Gedogan Masyarakat Osing Banyuwangi
Authors: Rahmania Ulya Ghifrani , Handayani Rif’ati Dina , Maryani
Published: November 2023

Gedogan is one of the arts that can be found in several places in Banyuwangi. Gedogan is part of the culture of pounding rice from the Osing Banyuwangi community. This is a musical art that is played by women using a mortar and pestle that are smacked against each other. This study aims to analyze the sounds that appear in the Gedogan. Data were collected by interview, observation, and documentation. Data were analyzed using software (software) Visual Analyzer (VA) which can detect sounds along with the intensity and frequency of incoming sounds. This research illustrates that the sound in Gedogan depends on the material of the mortar, its size, position, and the point of impact. This can be seen from different measured sound frequencies. The Gedogan Rumah Wisata Osing group distinguishes sounds with the techniques of othek 1, othek 2, and othek 3. The frequency produced in the games of the Gedogan Rumah Wisata Osing group ranges from 320-1120 Hz This study is expected that this research will be a way to preserve culture by introducing and integrating related learning.