bluuebunny/crossref_metadata_2025 huggingface dataset:
Inclusive Education for All: A Qualitative Exploration of Fostering Social Justice and Supporting Students with Special Educational Needs in the Learning Environment
Authors: Aguis Jessica
Published: May 2024

This paper presents a qualitative exploration of educators’ perspectives on supporting students with special educational needs (SEN) in inclusive learning environments. The study focuses on understanding the complex interplay of diversity and inclusion, strategies employed for inclusivity, challenges faced, and the values driving inclusive education. The central research questions guiding this inquiry were, “How do educators perceive and enact inclusive practices in supporting students with SEN in inclusive learning environments” and “How can these practices contribute to promoting social justice in education?” Drawing from four semi-structured interviews with educators, the study employed thematic analysis to identify four key themes. These themes include “Understanding Diversity and Inclusion”, which emphasises the multifaceted nature of diversity and the interconnectedness of inclusion; “Strategies for Inclusive Learning Environments”, revealing practical approaches to cater to diverse needs and foster engagement; “Challenges and Solutions in Inclusion”, showcasing the intricate balance educators navigate while promoting an inclusive and equitable atmosphere; and “Values driving Inclusive Education”, underscoring the core principles of equity, empathy, and empowerment that guide educators’ commitment to inclusive education. These findings provide insights into the critical role of teacher training, the need for awareness initiatives, and the continuous effort required to uphold inclusive education. Overall, this study contributes to the discourse on inclusive practices and highlights the importance of comprehensive training to ensure effective implementation.
The Role of Women in Leadership and Management Positions in Nursing: A Qualitative Study to Explore the Hardships that are being Faced by Women Who Hold Top Positions in Nursing in Malta
Authors: Vella Robert , Saliba Francine
Published: May 2024

The gender gap in leadership is a broad topic which also incorporates diverse studies, with each study providing different justifications for the characteristics of effective leadership. The main aim of this qualitative study is to examine the role of women in leadership in nursing who work in primary healthcare in Malta. This research was set to probe the experiences of women in leadership together with the barriers they face throughout their leadership role. The study was analysed from a constructivist paradigm point of view. The data was gathered through in-depth interviews which were analysed manually by using a hybrid approach design. Amidst the various perceptions gleaned from the study, important aspects that are crucial for successful leadership arose. Furthermore, the importance of communication in leadership, together with the situation of the Maltese context, were explored. In the findings, the participants displayed a clear understanding of effective leadership, one that incorporates the employment of mitigation with various stakeholders. The main recommendations from the study are that the primary healthcare sector should be equipped with more nurses so that new services can be introduced, together with the importance of training programmes in all strata.
Analysing Serious Games and Virtual Reality for Cardiac Arrest Simulation
Authors: Bugeja Aidan , Sacco Owen
Published: May 2024

The technological industry is a continuously evolving field, meaning that old methods are constantly being overruled by such advancement. The focus of this study is to evaluate the level of development within technology when paired with already existing practices. Cardiac arrest is a type of medical situation that requires prompt action towards the people experiencing it. This is where virtual reality (VR) simulations can be an innovative method by which one can learn how to deal when encountering such a situation. Advances in VR simulations have allowed trainees to practice realistic, full-length procedures in a safe and controlled environment, where mistakes are permitted and can be further used as learning points. VR provides a flexible learning environment that adapts to the learner’s pace. The data gathered from this study reveals that VR simulation training can prove to be a successful alternative learning method depending on various factors specific to the subject as well as the person’s preferred way of learning when comparing VR to other traditional methods.
Infecciones por Klebsiella pneumoniae productora de carbapenemasa tipo KPC
Authors: González-Romero Ana Carolina , Muñoz-Guevara Alejandro , Cordovez -Martínez María del Carmen , Peñafiel-Méndez Carlos Iván
Published: May 2024

Klebsiella pneumoniae productora de carbapenemasa tipo KPC, confiere resistencia a los antibióticos carbapenémicos, que son medicamentos importantes en el tratamiento de infecciones bacterianas graves. El objetivo de este estudio fue investigar las principales infecciones asociadas a K. pneumoniae productora de carbapenemasa tipo KPC mediante una revisión bibliográfica. El estudio se llevó a cabo de forma documental, no experimental, descriptiva y cualitativa, con una población y muestra de 68 y 27 artículos científicos respectivamente de las las siguientes bases de datos: Elsevier, Biomed, PubMed, Cochrane, Google Scholar, SciELO, Medline. Como principales patologías reportadas en pacientes hospitalizados, se encuentran la sepsis urinaria, neumonía y traqueobronquitis. La no susceptibilidad de fármacos en entornos hospitalarios, debido al uso inadecuado de estos, ha impulsado la propagación de enterobacterias resistentes a carbapenémicos, por lo que se ha observado un patrón donde se destaca a Meropenem, Imipenem y Ertapenem. Entre los métodos de detección de cepas productoras de KPC más frecuentes, se encuentran de tipo fenotípico (Método mCIM/eCIM y APB/EDTA), Métodos basados en la sinergia entre los carbapenemes y los inhibidores de las metalo-β-lactamasas, moleculares y proteómicos como espectrometría de masas. El estudio destaca la importancia de abordar la resistencia antimicrobiana y la necesidad de estrategias de tratamiento más precisas y efectivas, lo que sugiere el uso de Ceftazidima/Avibactam, como una opción terapéutica efectiva para tratar las enfermedades causadas por este tipo de microorganismo.
SAÚDE MENTAL NA FASE ADULTA E TENTATIVAS DE SUICÍDIO
Authors: Silva Ana Carolina Guimarães , Araújo Mirelia Rodrigues
Published: May 2024

Introdução: o suicídio é descrito como um fenômeno de grande abrangência no âmbito social e que pode ser evitado, representando assim um sério problema de saúde pública, com taxas de mortalidade mais elevadas entre homens.Objetivo: Discutir sobre os aspectos relacionados ao suicídio em adultos no Brasil. Materiais e Método: A metodologia escolhida para a realização desta pesquisa, foi a Revisão Bibliográfica Integrativa. Foi realizado busca na Biblioteca Virtual em Saúde (BVS), nas seguintes bases de dados: MEDLINE, LILACS E BDENF utilizando as palavras chaves: “Tentativa de suicídio”AND “Saúde Mental” AND “Adulto”. Resultados e Discussão: Foram analisadas 15 publicações que permitiram identificar diferentes perspectivas de autores sobre os principais fatores relacionados ao suicídio em adultos no Brasil. Conclusão: Ao que se refere os dados da pesquisa, foi constado que as principais causas que estão associadas à ideação suicida e ao ato de cometer suicídio na fase adulta incluem transtornos psicológicos como a depressão e a ansiedade, assim como experiências de abuso sexual na infância, estresse, desigualdade social, preconceito e enfermidades crônicas.
Temperature Monitoring and Control System Prototype on Raspberry Pi 3 B+ Based Refrigeration Trainer
Authors:   Jurusan Teknik Refrigerasi dan Tata Udara, Politeknik Negeri Bandung, Arman Muhammad , Ayu Wirenda Sekar ,   Jurusan Teknik Refrigerasi dan Tata Udara, Politeknik Negeri Bandung, Sugiyarto Sugiyarto ,   Jurusan Teknik Refrigerasi dan Tata Udara, Politeknik Negeri Bandung, Pratikto Pratikto ,   Jurusan Teknik Refrigerasi dan Tata Udara, Politeknik Negeri Bandung, Hakim Kamal Amrizal ,   Jurusan Teknik Refrigerasi dan Tata Udara, Politeknik Negeri Bandung, Sandra Dinara Safina ,   Jurusan Teknik Refrigerasi dan Tata Udara, Politeknik Negeri Bandung, Syarief Eliana ,   Jurusan Teknik Refrigerasi dan Tata Udara, Politeknik Negeri Bandung
Published: May 2024

A refrigeration trainer is a working model of an existing system intended to support student learning in the characterization of refrigeration systems, especially their temperature profile. There are many ways to monitor temperature in refrigeration trainers, such as by implementing a temperature monitoring and control system based on Raspberry Pi 3 B +. This project uses the DS18B20 sensor and Raspberry Pi 3 B+ microprocessor. This system has various features such as temperature monitoring, on/off control for fans and compressors, online and offline data storage, and remote control. After 4 hours of testing, the prototype looked stable without any sudden increase or decrease in temperature values for all measurement point parameters. In addition, the error percentage value which is less than 10% shows that the DS18B20 temperature sensor used provides the best accuracy value and is considered adequate for this prototype.
Enhancing the Reliability of Photovoltaic Systems in Microgrid at Campus Area
Authors:   Energy Management Laboratory, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia, Hanadi Hanadi , Christian Hadi ,   Energy Management Laboratory, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia, Tomoyahu Syafril ,   Energy Management Laboratory, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia, Faniama Virara ,   Energy Management Laboratory, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia, Pradipta Justin ,   (1) Energy Management Laboratory, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia ; (2) Engineering Physics Research Group, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia, Haq Irsyad N. ,   (1) Energy Management Laboratory, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia ; (2) Engineering Physics Research Group, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia, Leksono Edi ,   (1) Energy Management Laboratory, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia ; (2) Engineering Physics Research Group, Engineering Physics Department, Faculty of Industrial Technology, Institut Teknologi Bandung, Indonesia
Published: May 2024

This paper assesses the reliability of photovoltaic systems within a microgrid, considering the system's operational mode and monthly data on solar radiation and load demand. The evaluation encompasses various reliability metrics, including microgrid failure rate, interruption duration, system unavailability, EENS, EIR, LOLE, and LOLP, with the objective of minimizing these parameters. The methodologies applied involve the Markov model and artificial intelligence algorithms such as Naive Bayes and Support Vector Machine (SVM). Results indicate that the microgrid exhibits enhanced reliability in an on-grid mode configuration, with a LOLP value of 0.0008. Furthermore, employing machine learning, specifically SVM, for LOLP calculation based on solar radiation yields a more precise value of 0.7245. This study offers valuable insights for policymakers and system designers in determining the optimal configuration for microgrids.
Spatial Evaluation of Estimation Rainfall on Weather Radar Using Marshall-Palmer Z-R Method in West Java
Authors:   (1) Program Studi Magister Instrumentasi dan Kontrol, Fakultas Teknologi Industri, Institut Teknologi Bandung (2)Balai Besar Meteorologi Klimatologi dan Geofisika Wilayah II, Badan Meteorologi Klimatologi dan Geofisika, Ananda Naufal , Mukhlish Faqihza ,   Kelompok Keahlian Fisika Teknik, Fakultas Teknologi Industri, Institut Teknologi Bandung, Wicaksana Haryas Subyantara ,   (1) Program Studi Magister Instrumentasi dan Kontrol, Fakultas Teknologi Industri, Institut Teknologi Bandung (2)Balai Besar Meteorologi Klimatologi dan Geofisika Wilayah II, Badan Meteorologi Klimatologi dan Geofisika, Budiawan Irvan ,   Program Doktor Teknik Fisika, Fakultas Teknologi Industri, Institut Teknologi Bandung
Published: May 2024

Rainfall is one of the weather parameters that affect various sectors. High rainfall intensity can trigger hydrometeorological disasters, so rainfall observation data is vital to monitor rainfall conditions in an area. An automatic rain gauge is an instrument that measures rainfall at an observation point, but the instrument has reasonably low coverage and has yet to reach the entire region. Weather radar is a remote sensing instrument capable of spatially estimating rainfall. Weather radar data can be used to estimate rainfall using the Marshall-Palmer Z-R method. The application of the method can be an alternative for areas that do not have rainfall observation equipment. However, the estimation needs to be evaluated to improve the accuracy of the estimation value. Based on the evaluation, the highest coefficient of determination was 0.92, and the lowest was 0.67. The lowest RMSE value was 2.40, the highest was 6.76, the highest ME value was 16.59, and the lowest was 5.93; the highest bias was 12.90, and the lowest was 5.30. The study results show that the weather radar can operate according to the specifications of the maximum observation distance of up to 220 KM, but the farther the observation distance to a point, the higher the performance of rainfall estimation accuracy.
Surface Wind Speed Estimation on Multisites Anemometer Using Temporal Convolutional Network
Authors:   (1) Program Studi Instrumentasi dan Kontrol, Fakultas Teknologi Industri, Institut Teknologi Bandung, Wicaksana Haryas ,   (2) Pusat Instrumentasi, Kalibrasi dan Rekayasa, Badan Meteorologi Klimatologi dan Geofisika, Mukhlish Faqihza ,   Kelompok Keahlian Fisika Teknik, Fakultas Teknologi Industri, Institut Teknologi Bandung, Ananda Naufal ,   (1) Program Studi Instrumentasi dan Kontrol, Fakultas Teknologi Industri, Institut Teknologi Bandung; (2) Pusat Instrumentasi, Kalibrasi dan Rekayasa, Badan Meteorologi Klimatologi dan Geofisika, Budiawan Irvan ,   Program Doktor Teknik Fisika, Fakultas Teknologi Industri, Institut Teknologi Bandung, Khamdi Arif Nur ,   Stasiun Meteorologi Kelas I Juanda Surabaya, Badan Meteorologi Klimatologi dan Geofisika, Habib Abdul Hamid Al ,   Program Studi Sains Kebumian, Fakultas Ilmu dan Teknologi Kebumian, Institut Teknologi Bandung
Published: May 2024

Surface winds in various locations are measured simultaneously using a multisite anemometer network. This network is susceptible to system failures due to sensor damage, causing a data gap during sensor removal and reinstallation. This research develops a wind speed estimation model on a multisite anemometer using the Temporal Convolutional Network (TCN) algorithm. TCN processes time domain signals in parallel, thus significantly cutting the computation time. Minutely wind speed data set was obtained from four anemometers at Juanda International Airport in Surabaya from January 1, 2022 – December 24, 2023. The model design comprises data pre-processing, dominant wind direction analysis, hyperparameter determination, training, and testing on actual data. TCN estimation models are divided into easterly, westerly, transitional, and all-directional models. These wind speed estimation models strongly correlate with actual data, with correlation coefficients of 0.70, 0.77, and 0.87. Overall, the accuracy of the TCN-based estimation model conforms to World Meteorological Organization (WMO) requirements for wind speed measurements. It achieves RMSE<5 m/s and MAE<3 m/s. As for computation duration, TCN processes the training for 87 seconds per epoch and completes the estimation in 37 seconds, much faster than CNN-BiDLSTM’'s training duration of 2206 seconds per epoch and estimation completion of 548 seconds.
Heterogeneous Institutional Investor Attention and Corporate Tax Avoidance Behavior
Authors: Cui Ziyi
Published: May 2024

This paper selects A-share listed company stocks in China between 2009 and 2021 as the research object, and from the perspective of investment portfolio, empirically investigates the impact of two types of institutional investor (pressure-resistant and pressure-sensitive) attention on corporate tax avoidance behavior. It is found that institutional investors’ willingness to participate in corporate governance is jointly influenced by their own nature and their investment portfolio. Pressure-resistant monitoring institutional investors can effectively inhibit corporate tax avoidance behavior and play a positive governance role, while pressure-sensitive monitoring institutional investors show the opposite governance effect. The influence mechanism test shows that heterogeneous monitoring institutional investors influence corporate tax avoidance behavior by changing the degree of corporate information asymmetry. Heterogeneity tests show that the impact of heterogeneous monitoring institutional investors on corporate tax avoidance behavior is more pronounced in firms with poorer legal environments and in non-state-owned firms. This paper explores the impact of heterogeneous institutional investor attention on corporate tax avoidance behavior from the perspective of portfolio, providing theoretical basis for the Securities and Futures Commission (SFC) to differentially guide institutional investors to actively participate in governance.
A Study on Consumer Brand Preference of Packed Milk in Coimbatore, India
Authors: N Venkatesa Palanichamy , K Raja , M Kalpana , S Aruna Prabha
Published: May 2024

The continuous effort to increase the global dairy production level has led to increasing due to adoption of new technologies. The innovative technologies have resulted in a significant rise in production and productivity of dairy in the world market in the last decades. The present study is made with an objective to study the consumer brand preference of Packed Milk in Coimbatore district. The major source of awareness about various packed milk brands is through TV & Radio advertisements and it contributes around 48.33 per cent followed by Retailers & Dairy fresh, contributing around 19.16 per cent. Advertisement through local newspaper contributes around 15 per cent. 69 per cent of the respondents were willing to recommend the packed milk brand to others and would encourage others to purchase in that packed milk brand, while remaining 30.83 per cent of the respondents were not willing to recommend the packed milk brand to others Majority of the respondents are preferring the packet size of milk is 200 ml. Most of the respondents were purchasing their packed milk through the Private vendors, followed by the source of Govt. Dairy and Dairy fresh. Introduction of new designs in packaging is helps to attracting the all the type of consumers. Advertisement through social media, leaflets, and awareness programme in public places to creating curiosity about packed milk brands and new offers. The packed milk brands should adopt new and effective measures in door delivery services to distribute their brands to every area of the city.
Markkinaekspansiosta pedagogian henkeen ja refleksiiviseen asiantuntijuuteen
Authors: Paakkunainen Kari
Published: May 2024

Tämän arviointi- eli evaluaatiotutkimuksen tarkoituksena on tuottaa monipuolisen aineiston avulla perusarvio ja -viestit Humanistisen ammattikorkeakoulun (Humak) kansalaistoimintaa ja nuorisotyötä koskevan yhteisen opetussuunnitelman (OPS) toimivuudesta, ongelmista ja kehittämisestä. Aineisto koostuu toimijahaastatteluista ja laajahkoa haastattelututkimusta täydentävät tutkijan osallistumiset Humakin kehittämistilaisuuksiin.
Den sökandes blick
Authors: Puuronen Anne
Published: May 2024

I verket Den sökandes blick (Etsivän katse) redogörs för det uppsökande ungdomsarbetets väsen med utgångspunkt i de professionella tillvägagångssätten i arbetet. Vad betyder uppsökande ungdomsarbete som arbetssätt? Boken studerar ur de anställdas perspektiv målen, målgrupperna och metoderna för uppsökande ungdomsarbete, de professionella kraven och nätverkssamarbetet samt styrpolitiska åtgärder på området. Därutöver för boken fram vilka utvecklingsförväntningar de anställda har på sin bransch.
Materialet i undersökningen består å ena sidan av intervjuer med anställda på fältet och med samarbetsparter i branschen och å andra sidan av fortbildningsmaterial som reflekterar över det uppsökande ungdomsarbetet som process. Under aktionsforskningen samlade man in forskarobservationer om det uppsökande ungdomsarbetets professionella vardag, som också har inkluderats i undersökningsmaterialet.
Om man ser på branschen ur synvinkeln för det uppsökande ungdomsarbetets etos karakteriseras den på ett väsentligt sätt av arbetet i kontakterna som sker med och tillsammans med ungdomarna. I det här arbetet betonas ofta sådana delområden för kvalitativt arbete som att ge tid och vara närvarande så att man lyssnar på den ungas frågor, behov och önskemål. Undersökningen visar att de här kvalitetsfaktorerna hänger samman med det uppsökande ungdomsarbetets effektivitet och relevans. De utgör grunden för ungdomsarbetsidentiteten på området.
Undersökningen visar att det uppsökande ungdomsarbetet ständigt utövas i marginalerna för dess grunduppgift, det vill säga ungdomsarbete på fältet. Gränsdragningen har störst betydelse i samarbetet med skolor och läroinrättningar. Undersökningen för fram som utvecklingsobjekt att bevara ungdomsarbetsidentiteten på yrkesområdet i övergången till en ny verksamhetsmiljö. Enligt undersökningen är arbetet i marginalen för den egna grunduppgiften också förknippat med svårigheterna med att avgränsa det egna arbetet. Det här uppfattas som en belastande faktor med tanke arbetshälsan.
Att arbeta i marginalerna aktualiserar också frågan om gränserna för det uppsökande ungdomsarbetets uppgiftsområden. Hur ska arbetet avgränsas ur ett ungdomsarbets perspektiv som tar sikte på att på ett övergripande sätt stärka den unga socialt? I det här sammanhanget är stärkandet av kompetensbehoven i arbetet relaterat med uppgiftsområdena för familjearbete, arbetet med föräldrarna och ungdomshälsoarbetet.
Enligt undersökningen har de som arbetar med uppsökande ungdomarbete mycket olika bakgrund i fråga om utbildning och arbetserfarenhet. Det här är både en professionell styrka och en utmaning när det gäller en utveckling av branschen samt fortbildningen. Viktiga inriktningar i utvecklandet av fortbildningen är att bevara och berika yrkesmänniskornas mångskiftande kompetensbakgrund samt att genom mentormodellen främja att anställda med olika arbetserfarenhet delar med sig av sin kompetens.
I undersökningen berättas också vad ungdomsarbetare på fältet anser om den samhälleliga erkänslan av multibranschkunnandet i det uppsökande ungdomsarbetet och om löneutvecklingen på området.
Lapsi- ja nuorisopolitiikan neuvotteleva ohjaus valtionhallinnossa
Authors: Määttä Mirja , Komonen Pauli
Published: May 2024

Loppuvuodesta 2007 valtioneuvosto hyväksyi ensimmäisen nuorisolakiin (72/2006, 4§) perustuvan lapsi- ja nuorisopolitiikan kehittämisohjelman (Lanuke-ohjelman), jossa esitetään hallituskauden tavoitteet ja toimenpiteet 0–29-vuotiaiden kasvu- ja elinolojen parantamiseksi. Tässä raportissa esitellään ohjelman valmisteluun osallistuneiden näkemyksiä ja kokemuksia ohjelman alkuvaiheilta.
Muistio nuorten työelämäasenteista ja -arvoista sekä toimenpiteistä nuorten työllisyyden edistämiseksi
Authors: Tuppurainen Simo
Published: May 2024

Nuorisotutkimusverkoston tutkija Simo Tuppuraisen ja valtion nuorisoasiain neuvottelukunnan tekemässä muistiossa tarkastellaan nuorten pätkätyöläisyyttä, syrjäytymistä, kestävää kulutusta, tietoyhteiskuntaa ja nuorten työelämän sukupuolittuneita rakenteita sekä tehdään toimenpide-ehdotuksia nuorten työllisyyden edistämiseksi. Muistio on tehty valtioneuvoston kanslian asettaman maamme talouskasvun edellytyksiä tarkastelevan työryhmän käyttöön.
Sukupuolten tasa-arvo valtion resurssiohjaamalla nuorisotoimialalla
Authors: Paumo Milla
Published: May 2024

Nuorisotoimintaa kuvaa useimmiten osallistumisen vapaa-ehtoisuus. Tästä huolimatta kaikki lapset ja nuoret eivät kuitenkaan ole samassa asemassa vapaa-ajanvieton ja harrastamisen suhteen. Tässä raportissa selvitetään resurssien sukupuolittaista jakautumisen palveluiden käyttäjien eli tyttöjen ja poikien kesken. Selvityksen toisena tavoitteena on tarkastella nuorisotoimialan työntekijäkunnan sukupuolijakaumaa.
Talonvaltaus liikkeenä - miksi squat ei antaudu?
Authors: Stranius Leo , Salasuo Mikko
Published: May 2024

Talonvaltauksia Suomessa voidaan pitää nuorten ja nuorten aikuisten kansalaistoimintana. Ne ovat olleet viime vuosina myös näkyvästi esillä julkisuudessa. Toiminnan versot löytyvät jo kolmen vuosikymmenen takaa, mutta 2000-luvun jälkeen noussut nuori sukupolvi on puhaltanut liikehdintään uutta tuulta.
Tämä julkaisu on sikermä erilaisia talonvaltausta käsitteleviä puheenvuoroja. Kirjoitusten sisällöt käsittelevät moninaisia teemoja: talonvaltausten historiaa Suomessa, sen vertailua ulkomaiseen toimintaan, vuorovaikutusta ja dialogia hallinnon ja talonvaltaajien välillä sekä autonomiaa ja nuorten omaehtoista toimintaa.
EVALUATION OF FRESH AND STORED HANPV FORMULATIONS ON HELICOVERPA ARMIGERA (HUBNER) LARVAL POPULATION AND PRODUCTION OF CAJANAS CAJAN (L. MILL)
Authors:   Marotrao Wadafale College of Agriculture, Department of Entomology and Agronomy, Godhani Road , Yavatmal - 445 001, M.S., India, Ramteke Amrapali T , Gangurde Sarwshri V ,   Marotrao Wadafale College of Agriculture, Department of Entomology and Agronomy, Godhani Road , Yavatmal - 445 001, M.S., India
Published: May 2024

ABSTRACT Pigeonpea is an important pulse crop damaged mainly by pod borers causing serious losses in pigeonpea yield. Investigations were carried out through field evaluation conducted at the research farm to evaluate the efficacy of stored HaNPV formulations [1- fresh HaNPV (2x109 POBs/ml@250 ml/ha and 1x109 POBs/ml@500 ml/ha.); 2 - stored HaNPV for 1 year (2x109 POBs/ml@250 ml/ha and 1x109 POBs/ml@500 ml/ha)] were found effective in larval reduction and keeping population of Helicoverpa armigera Hubner at its minimum levels and obtaining higher yields of pigeon pea. Despite longer storage of HaNPV for 2 years it is comparatively more effective in reducing H. armigera larvae than the 3 year old formulations.
COMMUNITY SERVICE TO INCREASE PATIENT AWARENESS IN OSTEOARTHRITIS DISEASE PREVENTION AT IBNU SINA HOSPITAL, PANAKUKANG DISTRICT MAKASSAR
Authors: Dhedie Prasatia Sam Andi , Mula Putra Fadil
Published: May 2024

This study aimed to investigate the relationship between Presbycusis, Elderly, Osteoarthritis Audiometry, and risk factors such as obesity, lack of physical activity, and injury to the joints. The research method used was a survey using questionnaires distributed to the elderly at Ibnu Sina Hospital, Panakkang District, Makassar. The results showed a significant correlation between the conditions of presbycusis, osteoarthritis, and the mentioned risk factors. The implication of this research is the importance of increasing public awareness and knowledge of osteoarthritis prevention and management through targeted and interactive education, such as using banners that are easy to understand and involve direct discussions with the community. This is expected to reduce the incidence of osteoarthritis and reduce the burden of medical costs and improve the quality of life of the elderly.
The Role of Extension and Education in Agricultural Development: Empirical Evidence from Iran
Authors: Seyedan Neda , Malek Mohammadi Iraj , Farajollah Hoseini Jamal , Moghaddasi Reza
Published: May 2024

For several years, economic sanctions imposed by the US have created considerable pressure on Iran’s economy. Thus, Iran has continuously been seeking ways that improve productivity progress in order to acquire greater production by consuming fewer resources. This study aimed to explain the design of agricultural extension in the resistive economics development in Iran and present a practical model. The general approach of the present research is quantitative and inferential and has a mixed nature. Indeed, this investigation is semi-experimental in terms of the possibility of controlling variables, and data collection has been performed through the assessment of documents, context, and library. For sampling, the stratified random sampling method was used, while the sample size (151) was determined using the modified Cochran’s formula. Structural equation modeling (SEM) and LISREL software were applied to analyze the collected data, and finally, the structural equation modeling was achieved through regression and path analyzes. The validity of the questionnaire through expert opinion and average variance extracted (AVE) index, and the reliability of the questionnaire through Cronbach’s alpha coefficient (89%) were obtained. The findings of the goodness-of-fit test for the deterrent factor of agricultural extension affecting resistive economics show that the set of independent variables could explain 61–83% of the probability of variance of the dependent variable. For the leading factor of agricultural extension affecting the resistive economics, between 68.8 and 99.6%, and for the factor of resistive economics affecting the agricultural development sector, between 69.1 and 99.8% were calculated.
Modified Bagging in Linear Discriminant Analysis: Machine Learning
Authors: El Gimati Yousef
Published: May 2024

The main idea of this work is the use of machine learning of BAGGING or Bootstrap AGGregatiING, which is extended to average the classifiers based on a distance function. The idea of this function is to find the shortest distance from each data point to the classification boundary by using ‘Manhattan’ distance in decision trees and alternative distance measure is the ‘Mahalanobis’ distance used for Linear Discriminant Analysis or LDA, called modified bagging in this work. Thus providing a weighted voting system instead of equal weight voting, the classification error is reduced. Modified bagging is a viable option to reduce the variance which is a component of the classification error. Referring to the analysis, we conclude that modified bagging gives statistically significant improvement in Ripley’s data set with different bootstrap sample sizes.
Professional Values and Ethics in Medical Education
Authors: T. Nafea Ebtihaj
Published: May 2024

Medical ethics, professionalism and values have been commonly attached to medicine since its ancient era. These terms, although they differ, have been used in medical literature to refer to the right way to do the right thing by medical professionals. Professionalism was and still is one of the major aims of medical education. It refers to a complex process by which medical professionals acquire and apply the essential knowledge and skills together with acceptable values and ethics to serve society. However, teaching and assessing professionalism is not a straightforward mission. The complexity of it comes from its real nature being affected by many factors in multiple dimensions, including individual, interindividual and the larger societal or institutional levels. In this chapter, I describe the interaction between these factors after shedding light on the different interrelated terms. I also highlighted the advances and recommendations regarding teaching and assessment of professional values in the field of medicine.
Piloting Tom Brown, a locally produced supplementary therapeutic food for the management of moderate acute malnutrition in Gombe State, Nigeria
Authors: Ostrowski JJ , Parikh K , Umar A
Published: May 2024

BACKGROUND AND OBJECTIVES
Over 50,000 children in Nigeria’s Gombe state have moderate acute malnutrition (MAM) and are at risk of deteriorating to severe acute malnutrition (SAM). An effective strategy to reduce mortality is through a targeted supplementary feeding programme delivered within community-based management of acute malnutrition (CMAM) interventions. We present findings from an outpatient therapeutic programme (OTP) which used Tom Brown for treating children with MAM. Tom Brown is a locally produced flour blend of sorghum, soybeans, and groundnuts, consumed as a sweetened porridge.

METHODS
We conducted retrospective analysis of patient data from OTP sites in three local government areas between October 2022 and December 2023. Data were extracted for children aged 6-59 months diagnosed with MAM, defined as absence of oedema; weight-for- height z-score (WHZ) ≥-3 and <-2; and/or mid upper arm circumference (MUAC) ≥11.5 and <12.5 cm. Those enrolled for at least 14 days and receiving 1.5 kg per week of Tom Brown were included.

RESULTS
Of the 1,207 cases of MAM treated, 1,089 (90.2%) recovered i.e. had two consecutive visits with WHZ >-2 and MUAC < 12.5 and no severe clinical complications; 91 (7.5%) defaulted; 21 (1.7%) did not improve; 4 (<1%) were transferred out; and 2 (<1%) died at the end of follow- up. During treatment, 197 (16.3%) deteriorated to SAM and were switched to ready-to-use therapeutic food. All deaths (n=2) deteriorated to SAM. For children who recovered without deterioration, average enrolment length was 36.3 (±15.8) days and average weight gain was 4.21 (±3.03) g/kg/day.

CONCLUSIONS
With acceptable recovery and low death rates, Tom Brown is a feasible alternative for treatment of MAM. Made with cheaper ingredients, it can potentially reach more children for the same cost, particularly when combined with frequent screening and early diagnosis in the community. Timely follow-up of defaulters may also improve adherence. Research is needed to understand Tom Brown’s effectiveness compared to commercial products or combination with cash-based assistance.
Evaluation of the Expression Level of Some Coding and Non-coding Genes in Breast Cancer Samples Based on Bioinformatics and Laboratory Studies
Authors: Rostamnejad Elmira , Rashidi Ronak , Akbari Zohreh , Maghsoudloo Mazaher , Hashemi Mehrdad , Emami Razavi Amirnader , Entezari Maliheh , Sadeghizadeh Majid
Published: May 2024

Background: Breast cancer (BC) is the leading cause of cancer-associated mortality in women worldwide. However, the molecular mechanism underlying the process is still unclear. In this regard, bioinformatics studies play a decisive role in facilitating the path of biological investigations and can ultimately lead to the identification of better molecular candidates for further study. Objectives: Due to the abnormal expression of many coding and non-coding genes in all types of cancers and their relationship with various mechanisms of carcinogenesis, this study aimed at evaluating the expression levels of certain coding and non-coding genes involved in BC based on bioinformatics findings and laboratory investigations. Methods: Gene expression dataset, module extraction, functional enrichment analysis, protein-protein interaction network construction, and RT-qPCR were performed based on bioinformatics methods and laboratory investigations. Additionally, the promoter region mutations of these genes were investigated, using sequencing of extracted DNAs from formalin-fixed paraffin-embedded (FFPE) tumor tissues. Results: A module was selected as a candidate for further investigation. Estrogen receptor 1 (ESR1) and forkhead box A1 (FOXA1) showed the highest degrees in the PPI network with 9 and 7 links, respectively. Furthermore, the expression levels of the FOXA1 gene, RNA component of mitochondrial RNA processing endoribonuclease (RMRP), and nuclear enriched abundant transcript 1 (NEAT1) were significantly upregulated in the tumor group compared to the control group (in order, P = 0.044, P = 0.014, and P = 0.0004). The tumors of patients with positive metastasis displayed significantly higher levels of NEAT1 and RMRP expression compared to those of negative metastasis samples (P < 0.05). Moreover, the expression level of RMRP dramatically decreased in HER2-positive patients compared to negative samples (P = 0.011). Finally, no mutations were observed in the promoter sequencing of positive metastasis samples compared to normal samples. Conclusions: The upregulation levels of all three examined genes may correlate with BC progression. Therefore, they could potentially be used as biomarkers for detecting BC development.
Co-prevalence of Human Parvovirus 4 and Primate Erythroparvovirus 1 (B19) in Sickle Cell Disease and Healthy Populations
Authors: Akade Esma'il , Azaran Azarakhsh , Keikhaei Bijan , Bitaraf Saeid , Jalilian Shahram
Published: May 2024

Background: Human Parvovirus 4 (P4) is a non-enveloped, single-stranded DNA virus belonging to the Tetraparvovirus genus within the Parvoviridae family. Epidemiologically, P4 exhibits similarities with its well-established family member, primate erythroparvovirus 1 (known as B19), a blood-borne virus implicated in causing aplastic crises in individuals with sickle cell disease (SCD). Despite the acknowledged association with B19, there is a dearth of prior investigations into the prevalence and clinical significance of P4 in SCD patients. Objectives: This study aims to ascertain the prevalence and outcomes of P4, along with exploring the co-prevalence of P4 with B19 in individuals with SCD. Methods: A total of 165 participants were enrolled, comprising 120 individuals with SCD and 45 healthy controls. The prevalence of P4 and B19 DNA was determined utilizing a nested-PCR method. Sequencing was performed on positive samples to validate the diagnosis, and a phylogenetic tree was constructed based on the sequencing results. Correlations in the data were analyzed using statistical methods. Results: The prevalence of P4 and B19, as well as the co-prevalence of these viruses, was significantly higher in SCD patients than in healthy individuals. Moreover, the prevalence of P4 did not exhibit a significant correlation with variables such as age, sex, aplastic crises, or specific complications associated with SCD. Conclusions: Sickle cell disease patients represent a susceptible population for P4 infection, as indicated by the heightened prevalence observed in this study.
A STUDY OF SMART AND INTELLIGENT FARMING: THE FUTURE OF AGRICULTURE-LITERATURE REVIEW
Authors: Rawal Prof. Rupa Manoj
Published: May 2024

Almost every industry can be improved thanks to the Web or Internet of Things (IoT). The World Wide Web and Internet of Things in agriculture has not only made it possible to carry out activities that were previously laborand time- intensive, but it has also significantly changed how we view agriculture. Many people think that the Internet of Things can benefit every aspect of agriculture, from crop-growing to forestry. Despite the fact that IoT can greatly enhance agricultural Intelligent agriculture refers to managing farms with the use of modern technologies for communication and information in order to maximize the necessary labor of people while increasing the amount and quality of the produced goods. According to the research presented in this paper, environmentally conscious farming has the potential to result in a more productive and resource-efficient form of agricultural production. Finally, new farms will satisfy humanity'
FACE RECOGNITION WITH VOICE APPLICATION
Authors: Madhusudan D. , Budumuru Prudhvi Raj
Published: May 2024

Facial recognition may be a biometric identification method that is non-intraoperative and suited for many different kinds of applications. It is necessary for implementing the method with a considerable while and appropriate precision while taking hardware timing into account. The application of a machine learning method for instant facial picture recognition is the main focus of this study. The face recognition software employs algorithms to virtually confirm a person's identification by comparing a digital image taken with a camera to a face print that has been stored. One of the key facial recognition techniques created was the Haar-Cascade approach. The HOG (Histogram of Oriented Gradients) approach has been used to recognize faces and has proven to be quite successful for visual perception. The Eigen feature-based face recognition algorithm is compared to both techniques. Using a Raspberry Pi and its camera, the facial recognition model is put into practice to detect and identify faces in real-time for both the pre-existing databases as well as user-defined databases. After identifying the face, we'll use the libraries (GTTS, Play sound) to connect the machine learning algorithm with the audio. It will be able to detect, identify, and respond to the individual in this way
Climate Change Impacts on Soil Ecosystems
Authors: Yadav S.L. , Bhargava A. , Tater Arham
Published: May 2024

The relationship between soil systems and conservation tactics in relation to the effects of climate change is addressed in climate change and soil interaction, introducing modern research facilities on plants, soil carbonization, and soil biodiversity studies. A useful tool for maintaining the different relationships necessary for environmental sustainability, it includes information on soil remediation techniques, microbiological reactions to climate change, and soil health. Restoring soil system vitality under changing climatic circumstances requires an understanding of soil systems, including diverse physical, chemical, and biological interactions. This chapter discusses how numerous positive interactions in soil systems are impacted by changing climatic circumstances and offers suitable solutions to maintain these interactions. Researchers studying agriculture, ecology, and the environment can better comprehend cultivation by consulting Climate and Soil Interactions, which offers current, reliable, and novel data on how diverse soil interactions are affected by changing climatic circumstances. It will provide insights with pertinent information regarding environmental science, climate change, and biodiversity
Performance Evaluation and Quality of Service (QoS) in Wireless Networks
Authors: C Ramakristanaiah Dr. , Indraveni K , Murthy Dr. ChAS
Published: May 2024

A comprehensive overview of performance evaluation and quality of service (QoS) in wireless networks is presented in this chapter. It explores key performance metrics such as throughput, latency, jitter, packet loss, and signal strength, along with methods and tools for their measurement and evaluation. Case studies and examples illustrate real-world applications of performance evaluation techniques. The chapter also discusses emerging trends and future directions in QoS research, outlining potential avenues for innovation and advancement in wireless network design and optimization. Overall, this chapter serves as a valuable resource for researchers, practitioners, and students seeking to understand and improve the performance of wireless communication systems
New Biomarker Candidates of Sepsis: Diagnostic and Prognostic Value of Presepsin, Angiopoietin 1 and 2
Authors: Yıldız Hamit , Gül Açar Nuray
Published: May 2024

Objective: Sepsis is an uncontrolled inflamatory response that occurs in the body towards infection. It’s an important clinical picture that is seen in high morbidity and mortality so early diagnose and treatment areimportant. For that reason, for the septic cases to get early diagnosis and to predict the prognosis, new biomarkers are needed nowadays. Presepsin, angiopoietin 1 and angiopoietin II are biomarkers that are not usedroutinely yet, in our study, according to the new description given in Sepsis 3 meeting, in cases that are diagnosed with sepsis, we aimed at comparing diagnostic and prognostic values of these biomarkers.
Methods: In our study, there were two groups. Patient group consisting of 48 cases with 33 men and 15 women and control group consisting of 42 cases with 23 men and 19 women. Control group is selected within patient relatives with similarities of age and sex. Demographic datas, accompanying diseases, APACHE II, SAPS and SOFA scores counted in the first 24 hours, leukocyte count, eritrocyte sedimentation rate, C-reactive protein, procalcitonin value, culture sampling results (blood, urine, sputum, endotracheal aspirate) that are measured in their stays, 7th and 28th day mortality counts after their ICU stays are written down. Presepsin, angiopoietin I and angiopoietin II are detected by sandwich ELISA method.
Results: According to demographic features there isn’t any significant statistical difference between the patient group and the control group (p>0.005). In patient group Presepsin, angiopoietin I and angiopoietin II values were statistically high significantly compared to the control group (p<0.001). After the evaluation, serumpresepsin value noticed that has a diagnostic value in the diagnosis of sepsis (EAA: 0.74, 95%GA: 0.64–0.85, p<0.001). The suggested border value for this value is predicted as 0.47, 73%sensitivity and 62% specificity are determined. Serum angiopoietin I value noticed that has a diagnostic value in the diagnosis of sepsis (EAA: 0.80, 95%GA: 0.71–0.89, p<0.001). The suggested border value for this value is predicted as 178.24, 69% sensitivity and 69% specificity are determined. Serum angiopoietin II value noticed that has a diagnostic value in the diagnosis of sepsis (EAA: 0.89, 95% GA: 0.82–0.95, p<0.001). The suggested border value for this value is predicted as 77.56, 84% sensitivity and 83% specificity are determined.
Conclusions: In our study, presepsin, angiopoietin I and angiopoietin II values are determined as statistically high according to healthy control group and are found successful with high sensitivity and specificity in diagnosing. Presepsin, angiopoietin I and angiopoietin II values in septic patients are found successful with high sensitivity and specificity at 7th and 28th days mortality prediction.
Inteligența, de la originile naturale la frontierele artificiale - Inteligența Umană vs. Inteligența Artificială
Authors:   Romanian Academy, Sfetcu Nicolae
Published: May 2024

Istoria paralelă a evoluției inteligenței umane și a inteligenței artificiale este o călătorie fascinantă, evidențiind căile distincte, dar interconectate, ale evoluției biologice și inovației tehnologice. Această istorie poate fi văzută ca o serie de evoluții interconectate, fiecare progres în inteligența umană deschizând calea pentru următorul salt în inteligența artificială. Iată o prezentare generală a acestei istorii paralele. Inteligența umană și inteligența artificială s-au împletit de mult timp, evoluând în traiectorii paralele de-a lungul istoriei. Pe măsură ce oamenii au căutat să înțeleagă și să reproducă inteligența, IA a apărut ca un domeniu dedicat creării de sisteme capabile de sarcini care necesită în mod tradițional intelect uman. Această carte analizează rădăcinile evolutive ale inteligenței, explorează apariția inteligenței artificiale, analizează istoria paralelă a inteligenței umane și a inteligenței artificiale, urmărind dezvoltarea lor, interacțiunile și impactul profund pe care l-au avut una asupra celeilalte, și imaginează peisajele viitoare în care converg inteligența umană și cea artificială. Să explorăm această istorie, comparând reperele cheie și evoluțiile din ambele tărâmuri.