bluuebunny/crossref_metadata_2025 huggingface dataset:
Valoarea academică a internshipului – implicaţii în sectorul resurselor umane
Authors: MIHAIL Rarita , DRĂGHICI Elisaveta
Published: May 2023

For universities, internships can provide new opportunities to assess whether or not their program prepares students for their future job. Universities can also design potential employment opportunities for their students. In addition, internships provide students with valuable learning experiences in their chosen fields. Significant contributions to the development of internship programs come from at least two social areas: 1. the involvement of bodies with a role in the promotion of youth policies (in the sector of higher-level human resource training) and, 2. the involvement of public authorities in the legislative regulation of internships in order to ensure social security, but also to distinguish them from apprenticeships, contract work.This article aims, on the one hand, identifying the benefits of internships for students, universities and organizations, and, on the other hand, presentation of the European actions (of the European Union Commission) and of the Romanian legislative context, which gave the internship a clear position in the specific relations of human resources.
Socio-Theological Interferences Regarding the Suicidal Act in a Society in Crisis
Authors: LAZAREANU Gabriela
Published: May 2023

The paper entitled "Socio-theological interferences on suicide in a society in crisis" presents some aspects of suicide over time in some peoples from different cultures and spaces. In order to present the evolution of the mentality over time, several legislative landmarks from various countries were mentioned, the last part being focused on highlighting the theological perspective on the suicidal act and on a sociological research on the perception of individuals in the theological space on this act.
Rolul evaluării în formarea omului
Authors: IVLAMPIE Ivan
Published: May 2023

The educational process is composed of a triad of activities: teaching-learning-assessment. Each share has its own value only cultivated in a balanced way in relation to the other two shares. We cannot state either the primacy of one action or the secondary role of another. Failure in human formation occurs when the balance is broken within this triad. In this article, we address the topic regarding the role of evaluation in the act of education precisely in order to demonstrate concretely how evaluation practices in the Romanian education system generate dysfunction, school failure, crisis of the system.
« Le goût des arts étrangers » et « les esprits nouveaux » dans la culture roumaine du XIXe siècle
Authors: COSTANDACHE Ana-Elena
Published: May 2023

At a time when European cultures, considered as elitist, “lived” their full development, the Romanian culture, more modest, tried to “find its way” according to foreign influences, according to political influences. Little by little new spirits began to make themselves known in the Romanian provinces and the arts from abroad proved to be the basis for the renewal of Romanian culture, which still kept the traditional native models and found it difficult to give up legacy of old values. The political, cultural and literary lives directly received European influences adapted to the Romanian realities which were at the beginning of their particular mutations. The literary creative act began to follow models and influences of the first rank, renowned at European level. In this context, our study is based on an analysis of the opinions and informed voices of the time, which declared themselves openly pro or against foreign influences.
Chinese Sign Language Recognition Based on Two-stream CNN and LSTM Network
Authors: LUOYin  , Ying HU , LIUDi-kun  , LIRui  , YANGMeng-hao
Published: May 2023

Sign language recognition is the use of computer technology to convert sign language into text or speech to facilitate the communication between deaf-mute people and normal people. This paper takes Chinese sign language words as the research object, and proposes a new method of sign language recognition based on two-stream 3D-CNN and LSTM network. First, the key frame extraction algorithm is used to remove redundant data frames in the original data, and then a two-stream3D-CNN is used to learn local hand change features and global trajectory features at the same time, and aggregated as the feature input of the video clip to the LSTM codec network. In order to focus on the video frames that express the meaning of sign language, a time attention mechanism is introduced in the LSTM encoding and decoding network. On the DEVISIGN-D sign language data set, an experiment was compared with three sign language recognition algorithms, the experimental results show that the method can identify Chinese isolated words sign language very well, with an accuracy rate of 98.4%.
Analysis of Network Traffic Measurements using Machine Learning
Authors: Joshua Jeong Hae-Duck
Published: May 2023

In recent times, an exponential increase in internet traffic has been observed as a result of advancing development of the Internet of Things, mobile networks with sensors, and communication functions within various devices. Further, the COVID-19 pandemic has inevitably led to an explosion of social network traffic. Within this context, considerable attention has been drawn to research on network traffic analysis based on machine learning.In this paper, we design and develop a new machine learning framework for network traffic analysis whereby normal and abnormal traffic is distinguished from one another. To achieve this, we combine together well-known machine learning algorithms and network traffic analysis techniques. Using one of the most widely used datasets KDD CUP'99 in the Weka and Apache Spark environments, we compare and investigate results obtained from time series type analysis of various aspects including malicious codes, feature extraction, data formalization, network traffic measurement tool implementation. Experimental analysis showed that while both the logistic regression and the support vector machine algorithm were excellent for performance evaluation, among these, the logistic regression algorithm performs better. The quantitative analysis results of our proposed machine learning framework show that this approach is reliable and practical. In addition, we determined that the framework developed in the Apache Spark environment exhibits a much faster processing speed in the Spark environment than in Weka as there are more datasets used to create and classify machine learning models
A Comparative Study of Collaborative Filtering and Content-Based Approaches for Improving the Accuracy of Travel Recommender Systems for Malayalam Language
Authors: V.K Muneer , Basheer K.P Dr. Mohamed
Published: May 2023

In this paper, we present a personalized travel recommender system in the Malayalam language using artificial intelligence techniques. The study focuses on the use of travelogues and travel reviews written by travellers on social media as the primary source of data. A dataset of 11000 posts from 6444 travellers was collected from Facebook and other online platforms during 2020-2023. The data was pre-processed to extract relevant information such as travel mode, type of travel, location visited, and climate. Two approaches were used to build the recommender system: collaborative filtering-based K-means clustering and content-based hierarchical agglomerative clustering. The results of the study showed that the clustering approach significantly improved the efficiency and accuracy of the recommender system. K-means clustering achieved an accuracy of 91% and an F1 score of 85%, while the agglomerative hierarchical clustering approach achieved an accuracy of 85% and an F1 score of 84.25%. The results of this study demonstrate the potential of using travelogues and travel reviews to construct a personalized travel recommender system in regional languages.
Skeleton and Joint Angle Estimation Based on MobileNet
Authors: Tus Sadia Halima , Nahar Lutfur , Jahan Israt , Khaliluzzaman Md. , Islam Md. Rashedul , Hoque Md Jiabul
Published: May 2023

2D pose estimation is a general problem in computer vision, where the main objective is to detect a person’s body key-points and estimate a 2D skeletonized pose of a person.Skeleton estimation is outbound as an essential part of body parts detection in many fields, such as healthcare, rehabilitation, sports and fitness, animation, gaming, augmented reality, robotics. These systems are based on neural network applications and able to give reliable, objective and cost-effective benefits. Various methods are available based on this topic and used to update existing systems. In this regard, in this work, we have proposed a method for skeleton-based angle detection where we have used MobileNet model. This model is developed based on the convolution neural network (CNN). At first, 18 key-points of the human body parts were generated through the model. After that, by using the extracted key-points the skeleton of the human body parts is generated by estimating key-points according to the body part pairs. Furthermore, based on the generated skeletons, different skeleton joint angles at different key-points are estimated. To evaluate the performance of the proposed model at different environmental conditions, a customized dataset was utilized. This approach shows 95.37% accuracy for key-points detection, for joint angle estimation the accuracy is 96.11%, and shows 96.667% accuracy for body part length measurement.
Perforated Horizon: Volumetric Capacities
Authors:   Iowa State University, Goché Peter P.
Published: May 2023

Air occupies the dimension between the earth and sky. When considering the nature of our astrological domain, we might recall its make-up - the troposphere, the stratosphere, the mesosphere, the thermosphere and the exosphere. Within each of these regions of the atmosphere, there ceases to be properties of a continuous medium. It is this specific reductive aspect that prompts us, like our great ancestors, to imagine this as the arena for speculation and meaningful labor.
Component / Assembly: Pragmatism and Precedent in Digital Fabrication Pedagogy
Authors:   California College of the Arts, Marcus Adam , Hutchinson Matt ,   California College of the Arts
Published: May 2023

This paper discusses a series of academic design studios that explore ways to imbue pedagogies of digital fabrication with a critical sensibility rooted in architectural precedent. The work looks to the Case Study House Program spearheaded by John Entenza of Arts & Architecture magazine in Los Angeles (1945- 1966) as a model for how architects can re-conceptualize and re-materialize domestic space through an understanding of the limits and possibilities of new manufacturing techniques. Just as the architects of the Case Study House Program crafted new prototypes for domestic living inspired by the postwar (modernist) logics of mass production, this work speculates how contemporary (postmodernist) logics of mass customization can inform new models of domestic space appropriate for today. The research explores the architectural detail as a locus for reconsidering contemporary domesticity in the context of new technologies of design, fabrication, and assembly. Adapting ideas from research into architectural components from seminal case studies, the work tests ways to employ technologies of mass-customization to reconsider the com-ponent’s definition, its construction, and its assembly into larger configurations of structure and space. The ambition is to develop new understandings of part/whole relationships that reflect contemporary modes of living at all scales, from the component to the broader architectural organization. By melding computational workflows and advanced fabrication processes with the pragmatics of building and assembly, this work advocates a subtle but nonetheless radical shift in how we design and make architecture. And by grounding the work both conceptually and tectonically in precedent and in architecture’s social capacities, the studio pedagogy fosters a critical ethos that sometimes is lacking in academic approaches to design computation and digital fabrication.
Digitizing Wood | Analyzing Wood Grain in 2x4s using Facial Recognition Software Strategies
Authors:   University of British Columbia, Mavis Derek , Preiss Alexander ,   University of British Columbia, Satterfield Blair ,   University of British Columbia, Entwistle Graham ,   University of British Columbia
Published: May 2023

Zippered Wood is a novel take on wood joinery and defor¬mation in which digitally generated formally specific joint patterns are cut into boards that are joined to produce pre¬dictably precise bends. Within this system research is being done to maximise the usability of the 2x4’s and the strength of the zippered wood. By using waste stream 2x4’s for zippered wood we inherit problems that are not common in their tradi¬tional use. Namely those are the knots and screw/nail holes in the wood. Once the pieces are milled these areas create weak points in the veneer. Through our testing we have found that these areas are prone to cracking during the gluing process and create potential failure points along the piece. In response to this we have begun to develop a simulation algorithm to strategically map the zipper tooth surface within the 2x4 to find the optimal placement in relation to any de¬fects identified in the grain of the 2x4. This process, Digitizing Wood, uses an image of the 2x4 to locate the knots and defects in the wood to determine the optimal location. Using standard facial recognition techniques and imaging processing algo¬rithms the knots and defects are marked. The marked regions and the zipper tooth surface are run through an evolutionary solver to optimize the placement in the 2x4. Once complete the finished piece is stronger and more materially efficient in its use. The Digitizing Wood strategy seeks to improve the effectiveness of the Zippered Wood system.
Enhancing the financial position of cities: Evidence from Hargeisa
Authors: Delbridge Victoria
Published: May 2023

The City of Hargeisa, despite being in the very early stages of enhancing its financial position, has achieved significant reform in just a few years since its democratic establishment in 2002. The successes achieved are even more remarkable, considering the fragile context of Somaliland after 30 years of civil war within Somalia, which left widespread destruction and devastation in the city. This is compounded by Somaliland’s lack of recognition as a sovereign state by the international community. The case provides an illustrative example of leveraging urbanisation to raise municipal revenues for public service delivery, and in building local government legitimacy to better deliver to the populace. Given the context, the reforms are those that are easy to implement and effective, including the application of a simple digitised accounting and billing system, and a fit-for-purpose area-based property tax system. Where other cities have struggled to service more people with a stagnant revenue base, Hargeisa’s reforms have meant that population growth has resulted in increased revenues from property taxes and daily vendor collections. At the same time, private contributions of land on the peri-urban fringes offer an opportunity for in-kind land value capture and planned development in the future. Their successes are reinforced by the legitimacy built through participatory governance, which demonstrates what is achievable when communities, local government and the private sector work together. While Hargeisa has made progress on the basics of own-source revenue, much more is yet to be done to finance future development. Local government capital expenditure, for instance, is often far below what is budgeted. This is influenced by public demand for current and visible service delivery over and above less visible long-term investments. Furthermore, due to Somaliland’s internationally unrecognised status as an independent country, Hargeisa received limited development assistance when compared to other cities in similar contexts. However, a small coordinated effort through a coalition of UN agencies has fundamentally shaped some of the city’s reforms. As the country begins to formalise its financial sector, opening up to commercial banking and international investment, development support will be needed to ensure local governments and the private sector are able to capitalise on the opportunities this presents.
Word Reading Interventions for Adolescent Readers: Tools for Diagnostic Assessment
Authors: McFadden Kimberly , Lindström Esther R.
Published: May 2023

Addressing decoding difficulties with students in Grades 6-12 presents challenges, but ongoing intervention remains important in secondary grades. This article draws from research to outline a multistep process and provide resources for administering informal diagnostic assessments and forming intervention groups. Using these recommendations and tools, teachers can prepare to plan interventions to meet the unique needs of secondary students with word reading difficulty.
DEMOGRAPHIC AND SOCIO-ECONOMIC DETERMINANTS OF MULTIDIMENSIONAL FINANCIAL LITERACY AMONG YOUNG ALGERIAN UNIVERSITY STUDENTS
Authors: Yahiaoui Nour El Houda
Published: May 2023

Financial literacy is crucial for young university students to make sound financial decisions and improve their future well-being. This study examines demographic and socio-economic determinants of multidimensional financial literacy among young Algerian university students. The study employed a cross-sectional survey research design. It broadly adheres to the OECD definition of financial by segregating it into its main dimensions: financial knowledge, behavior, and attitude. Data was gathered from a sample of 368 university students and analyzed using multiple regression analysis. The study found a significant relationship between financial literacy, gender, the field of study, and bank account ownership. Female students are 3.64 times less financially literate than male students. Students majoring in scientific (hard) disciplines are 4.65 times more financially literate than non-scientific (soft) disciplines. Students with no bank account are 4.67 times less financially literate than those who own one. The study found a non-significant relationship between financial literacy and the variables: students’ level of education, the field of specialty, work experience, family income, father’s education level and mother’s education level. What is noticed is that the financial literacy level of economics and major in business students does not differ from those students of other majors.
EDUCAÇÃO COMO PRÁTICA SOCIAL
Authors: Santos Layslândia de Souza , Santos Maria Escolástica de Moura , Santos Lailton de Souza
Published: May 2023

As reflexões realizadas no presente trabalho têm como fundamentação a filosofia marxista. Com base nos construtos teóricos e metodológicos ancorados no materialismo histórico dialético tecemos considerações acerca da educação imersa na sociedade capitalista, no intuito de refletir sobre o papel histórico do complexo educativo dentro da sociedade de classes, bem como as contradições que permeiam a educação. O movimento dialético realizado neste trabalho se inicia com um esforço intelectual para compreender o fenômeno educacional em suas múltiplas dimensões, de modo que para tal feito, o método histórico dialético marxista foi utilizado para entender as problemáticas estruturais que cercam o complexo educacional. A concepção marxista de que só é possível compreender o fenômeno a partir da gênese resulta em breves apontamentos sobre a origem das contradições históricas da educação e sobre a crise estrutural como reflexo da decadência do capitalismo como modelo social. O debate e diálogo com obras marxianas e lukacsianas, bem como com importantes intérpretes marxistas permitem realizar reflexões sobre as possibilidades de articulação no campo da educação e em relação a potencialidade do complexo educacional diante dos entraves do capitalismo. A luta por uma educação crítica, que de fato consiga concretizar e levar para a classe trabalhadora a arte, a cultura e o conhecimento científico para a construção de um projeto de sociedade que ultrapasse os limites impostos pela sociedade capitalista.
AS RELAÇÕES DE CLASSE NOS CANTEIROS DE OBRAS BRASILEIROS
Authors: Costa Luciano Rodrigues
Published: May 2023

Este artigo trata do funcionamento do mercado de trabalho no setor da construção de uma pequena cidade de Minas Gerais. Com base numa etnografia das práticas de trabalho e da gestão da mão de obra num canteiro de tamanho médio, o autor busca mostrar como os imperativos técnicos e organizacionais combinam-se com lógicas de relações de classe para organizar as práticas de contratação, de remuneração e de demissão. Demonstra-se que, visando a uma gestão eficiente e a um controle eficaz sobre o processo de trabalho, se desenvolve,  paralelamente aos mecanismos institucionalizados do mercado, proteções informais para o estabelecimento de relações de lealdade e de confiança com os trabalhadores.  A hipótese principal aqui discutida é tomada de empréstimo a Alain Morice, que havia sugerido, nos anos 1990, que as relações hierárquicas e a exploração da mão de obra nos canteiros se explicam em parte pelo desprezo por esses trabalhadores manuais sem qualificação advindos das zonas rurais.
INDISSOCIABILIDADE ENTRE ENSINO, PESQUISA E EXTENSÃO NA EDUCAÇÃO A DISTÂNCIA
Authors: Machado Marcela Rosa de Lima
Published: May 2023

Esta tese teve por objetivo analisar o princípio da indissociabilidade entre ensino, pesquisa e extensão na Educação a Distância (EaD), a partir da perspectiva de institucionalização dessa modalidade nas universidades federais brasileiras. Por meio de uma pesquisa exploratória de natureza quantitativa e qualitativa, buscou-se: (1) mapear as universidades federais que ofertam cursos de graduação no âmbito da UAB; (2) identificar e analisar as dimensões envolvidas nos processos de institucionalização; (3) verificar a oferta de ações de ensino, pesquisa e extensão nos cursos a distância; e (4) compreender qualitativamente a relação entre a institucionalização e a promoção da indissociabilidade entre ensino, pesquisa e extensão. Foram realizadas entrevistas semiestruturadas com coordenadores UAB e gestores de unidades de educação a distância das UFs investigadas. A discussão deste tema contemplou autores que analisam as políticas públicas de educação superior e de educação a distância nos contextos social, político e econômico brasileiro. Considera-se que a indissociabilidade entre ensino, pesquisa e extensão é um princípio que deveria ser estendido também à EaD, propiciando uma formação acadêmico-crítica que permitisse romper com a lógica mercadológica que historicamente tem orientado a oferta dos cursos a distância. A pesquisa quantitativa obteve retorno de 81,6% das universidades federais que possuem cursos de graduação ativos no Sistema UAB, distribuídas por todas as regiões geográficas. A análise dos dados quantitativos demonstrou a dependência do financiamento do Sistema UAB por parte da maior parte das universidades participantes da pesquisa (65%). Também nas entrevistas este Sistema tem sido apontado como um dos maiores desafios para a institucionalização, colocando em xeque a autonomia universitária. Com relação à indissociabilidade entre ensino, pesquisa e extensão, 65% das UFs consideram que esta tem sido parcialmente garantida, em contraste com 22,5% que acreditam totalmente e 12,5% que não acreditam. As entrevistas demonstraram a fragilidade desse princípio na EaD, devido sobretudo a dificuldades institucionais e financeiras na implementação de bolsas de ensino, pesquisa e extensão para alunos da modalidade. Diante das análises realizadas, demonstrou-se que a institucionalização da modalidade e a independência do Sistema UAB são processos necessários para, efetivamente, garantir a indissociabilidade entre ensino, pesquisa e extensão na EaD.
Environmental sustainability and economic viability of the Compost Barn system in Brazilian dairy farming
Authors: Santos Franciane Gabrielle , Santos Alice Ranielly Chaves , Cardoso Bruna Naiara , Colen Fernando , Pires Neto Otaviano de Souza , Santos Fabio Ribeiro dos , Pereira Sidney
Published: May 2023

Dairy farming has great socioeconomic importance in Brazil, and the last decades have registered a constant evolution of the production chain, seeking to increase quality and production efficiency. In this context, the production systems have intensified and adopted new technologies. The Compost Barn system has stood out as a confinement option for dairy cattle, for its lower implementation cost than other confinement systems and the possibility of giving an adequate destination to the animals' waste. Besides the search for greater production efficiency, the environmental sustainability of agricultural systems has been increasingly discussed, and dairy cattle farming is associated with many potential environmental impacts. It is essential to identify and mitigate them for the consolidation of a production chain socially fair, economically viable and environmentally correct. Thus, this literature review aims to evaluate the economic and environmental feasibility of the Compost barn system within the national dairy farming scenario.
Consumo e metabólitos sanguíneos de cabritos alimentados com enzimas exógenas na dieta
Authors: Freitas Ana Beatriz  Inácio de , Vilaça Lucas Eduardo Gonçalves , Siqueira Marco Túlio  Santos , Oliveira Karla Alves , Sousa Luciano Fernandes , Macedo Júnior Gilberto de Lima
Published: May 2023

O uso de enzimas exógenas é uma biotecnologia utilizada para otimizar a produção de ruminantes, através da melhora da digestibilidade e degradabilidade ruminal da fibra, do amido e da proteína presentes nos mais diversos alimentos. Objetivou-se avaliar o efeito de enzimas exógenas fornecidas como aditivo em ração para caprinos sobre o consumo e metabólitos sanguíneos. Foram utilizados 21 cabritos mestiços ½ Anglo Nubiano x ½ Saanen, com idade média de 2 meses, pesando em média 16,77 kg. Estes animais foram alojados em baias coletivas, distribuídos em quatro tratamentos: Controle (sem nenhuma adição de enzima); Amaize® (enzima amilolítica); llzyme® (mix de enzimas) e Fibrozyme® (enzima fibrolíticas). Foram avaliados o consumo de matéria seca (CMS) e concentração sanguínea dos metabólitos energéticos, enzimáticos e proteicos. O delineamento utilizado foi inteiramente casualizado com medidas repetidas ao tempo. As médias dos tratamentos foram avaliadas pelo teste SNK ao nível de significância de 5% e os períodos por análise de regressão dos efeitos lineares e quadráticos à 5% de significância. Os animais apresentaram aumento exponencial do CMS ao longo do período. Houve interação entre tratamento e período experimental para glicose, lipoproteína de baixa densidade (LDL), lipoproteína de alta densidade (HDL), relações LDL/HDL e CT/HDL, ácido úrico e creatinina. Houve efeito do período para colesterol, gama glutamiltransferase (GGT), albumina, ureia e proteínas totais. As elevações dos valores de metabólitos energéticos e protéicos podem ser explicadas pela maior degradação dos alimentos proporcionado pelas enzimas, gerando maior energia disponível aos animais. Apesar das alterações nos valores quanto ao recomendado para espécie, não foram evidenciadas injúrias quando avaliado o perfil enzimático dos animais. A utilização de enzimas exógenas Amaize®, Allzyme® e Fibrozyme® favoreceram a degradação de carboidratos, possibilitando maior status nutricional aos animais demonstrado pelos valores elevados de metabólitos energéticos e proteicos.
Adsorption Of Clomid Drug On Activated Carbon And Zinc Oxide Surfaces
Authors: Hawraa K. Al-Husseini
Published: May 2023

The research included study the adsorption of Clomid drug on the

surface of activated carbon and zinc oxide. Many of parameters were

studied which affect the adsorption process such as temperature, weight of

adsorbent, equilibrium time, initial concentration and effect of pH.

Activated carbon and zinc oxide were used as a model adsorbent in the

experiments. We found that increased of temperature (30-50) °C followed

by increased in adsorption capacity experiments were done at 30 °C and

showed that the optimum weight of activated carbon was (0.15 g) while for

zinc oxide was (0.1g), equilibrium time was (150 min) for the two

adsorbents. The adsorption capacity of the two adsorbents increased with

increasing initial concentration of drug, In addition, the experiments

showed that the (3-7) pH was the best medium of the adsorption process.
Semantic Segmentation of Foggy Scenes Based on Progressive Domain Gap Decoupling
Authors: Wang Ziquan , Zhang Yongsheng , Ma XianZheng , Yu Ying , Zhang ZhenChao , Jiang Zhipeng , Cheng Binbin
Published: May 2023

Robust Semantic Foggy Scene Segmentation (SFSS) is crucial for the security of autonomous driving. However, the blurring of images caused by fog increases the difficulty of recognition and makes annotation of foggy scene images more expensive, resulting poor performance when recognizing entities in the fog. Currently, many methods use domain adaptation to transfer segmentation knowledge from clear scenes to foggy ones. But these method are often ineffective due to the large domain gap between different cities' styles and the quality degradation of images caused by fog. The latest research has attempted to introduce an intermediate domain to decouple the domain gap and gradually complete the semantic segmentation of foggy scenes, but the exploration of the intermediate domain information is often insufficient. To solve these problems, we first analyze the self-training in domain adaptation and propose the concept of "label reference value". We prove that the higher the total label reference value, the easier the self-training performance gets improved. With this precondition, we can reasonably split the original problem into two-stage domain adaptation. In each stage, the "label reference value" can be controlled and maximized. Specifically, the first stage only process the style gap between source domain and the intermediate domain, and the second stage process the fog gap. The fog gap includes: (1) real fog gap between the intermediate domain and target domain; (2) the synthetic fog gap between clear source domain and synthetic foggy source domain. This allows the model to make full use of "label reference value" and gradually develop good semantic segmentation skills for foggy scenes. Our approach significantly outperforms the baseline algorithm on all the mainstream SFSS benchmarks, with good generalization ability demonstrated in other adverse scenes such as rain and snow. We also compare our method with latest large segmentation models, which shows that our method has more robust performance in the foggy scenes. 
Real-time plastic litter detection using hyperspectral sensing on drone
Authors: Balsi Marco , Bouchelaghem Soufyane , conti Livio , moroni Monica , scalia Riccardo
Published: May 2023

A hyperspectral sensing system operating in the SWIR band (900-1700nm) was developed for drone-based detection of plastic litter in the environment. The detection software is based on a multiple linear classifier trained on examples, that detects plastics and transmits information to a ground station that visualizes on a map the location of points surveyed, labeled as plastics where applicable.
Causal Deep Operator Networks for Data-Driven Modeling of Dynamical Systems
Authors: Nghiem Truong , Nguyen Thang , Nguyen Binh , Nguyen Linh
Published: May 2023

The deep operator network (DeepONet) architecture is a promising approach for learning functional operators, that can represent dynamical systems described by ordinary or partial differential equations. However, it has two major limitations, namely its failures to account for initial conditions and to guarantee the temporal causality – a fundamental property of dynamical systems. This paper proposes a novel causal deep operator network (Causal-DeepONet) architecture for incorporating both the initial condition and the temporal causality into data-driven learning of dynamical systems, overcoming the limitations of the original DeepONet approach. This is achieved by adding an independent root network for the initial condition and independent branch networks conditioned, or switched on/off, by time-shifted step functions or sigmoid functions for expressing the temporal causality. The proposed architecture was evaluated and compared with two baseline deep neural network methods and the original DeepONet method on learning the thermal dynamics of a room in a building using real data. It was shown to not only achieve the best overall prediction accuracy but also enhance substantially the accuracy consistency in multistep predictions, which is crucial for predictive contro
Assessment of Mosul University Students' Knowledge about First Aid
Authors: Makhlef Hanaa Hussein
Published: May 2023

Objectives: A descriptive study was designed to assess of Mosul university students' knowledge about first aid, and to assess the university students' knowledge about first aid cases (respiratory systems, circulatory systems, bleeding, trauma, burns, fractures, bites and stings ).
Methodology: A random sample was used for selecting (124) participants. The sample consisted of (62) students of the college of science, as well as (62) students in the college of education of the fourth stage of Mosul University. The study started in the 1st of December 2011 to the 15th of April 2012. Internal consistency of the questionnaire was assessed by calculating Coefficient Correlation which was (r = 0.80), and the statistical analysis organized by (SPSS, version 11).
Results: The present study found the majority of the students in the study (91.9 %) have not participated in the first aid courses, also (96%) found the necessity for lean to the first aid activity. The result indicated to (46%) the knowledge level of the first aid, (45%) the knowledge level of the first aid cases, and the percentage of the first aid cases as a following: the respiratory systems (25%), the circulatory system (24%), the bleeding (58%), the trauma (38%), the burns (51%), the fractures (66%), and the bites and stings cases (53%).
Conclusion: Majority of the students have not participated in the first aid course, and observe it is necessary to learn the first aid activity. While a high percentage of the false answers about meaning of the first aid. In addition, the result reveals a high percentage of the participated students had false answers or they do not know the first aid about the respiratory systems, the circulatory system, the trauma, the burns, and bites and stings. But the results reveal there is a high percentage of the students had true answers about the first aid of the bleeding and the fractures.
Assessment of the Poisoning among the Child Under Five Years in Mosul City
Authors: Mahmood Hanady J.
Published: May 2023

Objectives: The objective of the present study is to identify the occurrence of poisoning in children at age less than five years Mosul City.
Methodology: This study included 200 children under 5 years attending at the Emergency Department Unit at Ibn-Sina Teaching Hospital in Mosul City, were (123) males and (77) females in the period (1/11/2010) to (30/12/2010).
Results: The results of the present study showed that the highest percentage of the studied children at patients aged between (2-3) years, were of (40%), while in male is more than female with percentage (61.5%). The petroleum distillates most common type of poisoning was of (38.5%). Low socioeconomic status and illiteracy of mothers were the leading cause of poisoning among children.
Conclusion: The study concluded that kerosene oil poisoning was the most common with the age group between (2-3) years most commonly involved. Poisoning was the most common in young mothers and in those households having greater than 3 siblings. Literacy rate of mothers correlated significantly with poisoning cases with the highest (58%) poisoning cases in children with intermediate mothers. In most of the cases (75%) poison was within easy reach. This study highlights the fact that ignorance, neglect and carelessness on part of the parents lead to cases of poisoning.
Recommendation: Researcher recommends preparing an educational program to educate parents and to introduce them to toxic substances and how it is stored and safe use, and through newspapers and television, which can help reduce cases of poisoning in children.
Knowledge and practices of a group of adolescents toward some aspects of their health and development
Authors: Sabir Jwan Mohammad , Ismail Kameran Hassan , Al-Tawil Namir Ghanim
Published: May 2023

Background: Information is important for adolescent to develop healthy lifestyles, protect themselves from disease, and participate meaningfully in society.
Objectives: This study was carried out to assess the knowledge and practices of a group of adolescents toward some aspects of their health in Erbil-Iraq.
Methodology: A cross sectional study was carried out in Erbil city, in October 15th to December 15th, 2008. The questionnaire was designed by authors and administered to students during class time. Verbal informed consent was obtained from all participants.
Results: The study sample was composed of 441 adolescents (257 males, and 184 females). The male: female ratio was 1.4: 1. The mean age (+SD) was 15.7+2.3 years (ranging between 11-19 years). More than half (58.5%) think that they are in a good health, 23.6% believe that smoking affect their health negatively, More than half (52.83%) eat healthy food, around 52% practice exercise, and 39.46% take vitamins to take care of their health.
Conclusion: The knowledge and practice of our adolescent toward their health and practice still deficient and need more advanced follow up to increase information regarding this branch.
The Physical and Psychosocial Effects of Abortion on mothers
Authors: Abdul Razzaq Mahasin , Adel Hana
Published: May 2023

Objective: To assess the factor contributed to abortion and to identify the physical and psychosocial effect of abortion on mothers.
Methodology: A descriptive study was conducted at Baghdad teaching hospital and AL-Yarmok teaching hospital, purposive sample (100) mothers was selected. The instrument was designed and constructed by reviewing related literatures, and composed of three parts, part one for demographic and reproductive characteristics, part two for the causes contributed to abortion and part three for physical and psychosocial effect of abortion on women. Data were collected by personal interview in 20 March to 15 April \ 2012 and descriptive statistical procedures were used to analyze to data.
Result: The result of the study showed the highest percentage (30%) of the study sample were ate age group between (30-34) years, (38%) of them were primary school graduated and (64%) of them were house wife, (34%) of them were multigravida, (28%) of them were primipara, (68%) of them have one abortion, (64%) of them have previous curettage and (65.6%) of them have curettage for one time. The revealed that the most causes of abortion were the physical tiredness and accidental trauma, most of the study sample suffering of physical effectiveness after abortion (74%) of them having chronic abdominal pain. The psychological result revealed majority of the study sample suffer of sadness, tiredness, emotional difficulties, eating disorders, depressive, while the social effect revealed increased family problem and violence behavior toward the husband and family.
conclusion: According to the result we concluded that there were many factors contributed to abortion and psychosocial effects were more common than physical effects among mothers who had abortion.
Recommendation: The study recommended routine screening for women to detect the causes, psychosocial support through educational programs and mass media especially for those women with recurrent abortion.
Family Cohesion of Juvenile Delinquents at Reformation Schools in Baghdad City
Authors: Al-Juboori Ali Kareem , Al-Hemiary Nsaif Jasim , Hamoo Siham Abdullah
Published: May 2023

Objectives: To assess family cohesion for juvenile delinquents, assess family cohesion of non delinquent juvenile, and to identify the difference between juvenile delinquent and non-delinquent, and find the difference in family cohesion ratio to some specifications demographic of the event delinquent such as age, education level, place of residence, house ownership, social status, size family, with who juvenile live.
Methodology: The study carried out on a purposive "non probability" sample of (100) delinquents' juveniles were selected of a Reformation schools for boys in Baghdad City. And 100 subjects who were non delinquents juvenile was selected of general population who living in the same area of residence of cases (of the neighbors of cases). A questionnaire is constructed for the purpose of the present study which is distributed across 2 main parts. Part one included the demographic characteristics of juvenile and their parent, and part two included 16 domains of family context. The family cohesion domain consists of 5 items. The overall items which were included in the questionnaire of this article are 42 items. Validity and reliability of the questionnaire were determined through the review of a panel of experts and the pilot study. Data were collected through the period of September 2nd 2011 to October 2nd 2011. It was analyzed through the descriptive statistics (frequency, percentage, and mean of score) and inferential statistics.
Results: The results revealed that were no significant difference was found in juvenile delinquents' family cohesion domain with regard to their demographic characteristics. Also there were highly significant differences between delinquents and non delinquents with regard to their family cohesion.
Conclusion: The study concluded that juvenile delinquency is a serious problem facing families of children. Where family cohesion plays an important role in the community of this problem and put the juveniles in trouble with the law because of their behavior, as evidenced by this study, that the instability of the family and family problems play an important role in the occurrence of this problem.
Recommendation: Preparation and implementation of training programs on juvenile delinquency for primary school teachers and secondary school to enable them to educate their students about the problem of juvenile delinquency. Dealing with the adolescent as a human being with dignity and provide a decent life, peace and security and seeking to better living conditions for growth. University of Baghdad, College of Nursing, Psychiatric and Mental Health Nursing.
Post-traumatic Stress Disorders amongpatients with Myocardial Infarction in Mosul city
Authors: Al-Noimi Zeyad T. , Salem Eman , Ibrahim Radhwan. H.
Published: May 2023

Background: Post-traumatic stress disorder (PTSD) is a severe anxiety disorder that can develop after exposure to any forms of traumatic events including myocardial infarction (MI). PTSD after MI may affect quality of life and cardiovascular outcome.
Objectives: This study aimed to assess the degree of severity of the core symptoms of depression, anxiety and stress in MI patients, to signify Post-traumatic Stress Disorders among MI patients according to their age, sex and severity, to define the full range of core symptoms of depression and anxiety, meet difficult standards of psychometric adequacy in MI patients.
Methodology: A descriptive study, design was applied in Ibn sena teaching hospital, in Mosul city for period of 14th, May, 2012 to 1st, September, 2012 in order to achieve the objectives of the present study. The study subjects consist of54 patients who were diagnosed with myocardial infarction in Ibn sena teaching hospital, their age ranges between (40-89) years. In the present study Depression, Anxiety and Stress Scale (DASS,1995) was used to diagnose patients with Depression Anxiety and Stress.
Results: The severity of Post-traumatic Stress Disorders in MI patients shows that most of patients had moderate stress disorders which constituted 48% while 55%of them had extremely severe anxiety, and on depression scale had moderate and severe. The majority of male had moderate stress disorders which constituted (48.5%), while (69.5%) of female had extremely severe anxiety disorder and the majority of female had server depression.
Conclusions: The study highlighted the development of PTSD after MI. Anxiety disorders are more severe than depression and stress disorders. Anxiety disorders have the highest percentage and frequency among female. Depression disorders has the highest percentage and frequency and found in age group (50-59).
Recommendations: Integration care of patient with myocardial infarction in all spectrums (psychiatry, healthy, socially, and educationally). Psychiatrists and nurses must be aware of increased prevalence of PTSD after MI and importance of early detection of any suspected case and referral to Psychiatric research unit.
Effectiveness of Nursing Education Program on Nurses Practices Toward Arrhythmia in Kirkuk's Teaching Hospitals
Authors: Hassan Hakima S. , Hassan Salah M S.
Published: May 2023

Objective: to evaluate the effectiveness of nursing educational program on nurse's practice toward arrhythmia in Kirkuk's teaching hospitals
Methodology: A quasi-experimental design was carried out at Azady and Kirkuk teaching hospitals in 17th January, 2011 to 10th of Jun, 2012. The program and instruments constructed were developed by the researcher to measure the purpose of the study. Purposive sample comprised of (80) nurses was divided into two groups, study group consisted of (40) nurses exposed to the nursing educational program and control group consisted of (40) nurses were not exposed to the program. The measurement of effectiveness of nursing educational program through the observational checklist includes (25) items concerning ECG. Reliability of instrument was determined through the use of test and retest and the instrument validity was determined through a panel of experts.
Results: The results of the study showed that the effectiveness of educational program regarding nurses' practice toward arrhythmia is a positive and clear. It is also shows that there is good improvement with highly significant differences in study group in overall main domains related to nurses' practice.
Recommendation: The study recommended that an educational program can be designed and constructed for nurses through the program ,an emphasis can be directed and oriented in ECG toward arrhythmias, the nurses can be encouraged for being participated in a special training programs designed and constructed to fulfill the nurses needs concerning defects and limitation in their practices and collaborative work can be issued between the ministry of health and higher education to provide such program.