bluuebunny/crossref_metadata_2025 huggingface dataset:
Which types of accounts on Weibo gain more attention during COVID-19 pandemic
Authors: Duan Jinglong
Published: April 2023

The current study aimed to examine which kind of Weibo accounts has the most influence when sharing COVID-19 related information. 247 Weibo accounts were divided into five categories: universities, celebrities, authoritative media, medical institutions and government departments. Using these accounts to form a virtual social network, calculate the mean, variance and standard deviation of Katz Centrality of each category of users which is combined with calculating the average number of likes, comments and retweets of each blog of each category users to find a more influential class. According to the research finding, celebrities have the most influence on general users, followed by authoritative media. However, combined with Katz Centrality, it can be found that celebrities have the least influence on social networks formed by accounts with a large amount of followers, while authoritative media is more influential in these two dimensions. Although more research is needed to investigate the relationship between social media platforms and the outbreak of COVID-19, findings suggest influential accounts should ensure the accuracy of their information so as not to mislead the public.
Predict the Growth of Crop Yield Using Machine Learning
Authors: G. Anupama C , S. Karthick. , Samy S.Selakumara
Published: April 2023

India is an Agricultural based country. Our 70% of the primary and second-ary sector depend upon farming which is done both in urban and rural areas. So basically due to such a large dependency on agriculture, many times the farmers are not able to judge which crop to grow or which crop can give them the best yield with respect to different conditions. So first we took the data from the reliable sources for the different agricultural products. Then we clean and clear the data from the empty values. As well as we did a pri-mary analysis of the raw data. The data consist of different variables that we had to consider, some were removed as they were not helping in prediction. Variables which we used for the predictions are Nitrogen Phosphorus, Potas-sium, Humidity,Rainfall. So for solving the problem of farmers we came up with Machine Learning using all these variables we used different models in Machine Learning. We train our models by different types of combinations and get to know which variables are good for predicting. Then we took our results and checked that it matches the final results of our test data or not.
SAFE: Security Door Lock System Using Haar-Cascade and LBPH Method
Authors: Leim Jing-Han , Ng Kok-Why , S. Arpitha , Ng Sew-Lai , Haw Su-Cheng
Published: April 2023

Door lock provides numerous benefits and has become indispensable in daily life as it acts as a security guard to prevent burglars and protect home belonging safely. The unlock methods of existing door lock system widely use keys and thumbprint involve touching the object may cause the spread of COVID-19. In this paper, a computer vision based security door lock system using Raspberry Pi (called SAFE) is proposed. Haar-Cascade classifier is employed as face detection classifier, while Local Binary Pattern Histogram (LBPH) is proposed as face recognition classifier. Recognition result is processed based on the usage of user to provide insights of SAFE. The accuracy of SAFE using pre-trained LBPH classifier achieves average of 86% based on the data obtained. The recognition speed outperforms existing work using principal component analysis and eigenfaces.
Recommender Systems: Collaborative Filtering and Content-based Recommender System
Authors: Yan Xuechao , Qi Shuhan , Chen Chang
Published: April 2023

There are three algorithms of recommender systems proposed by this paper, which are item collaborative filtering(itemCF), user collaborative filtering(useCF) and content-based recommender system(CBRS). The principal goal of this paper is to try to ascertain which algorithm has the highest precision, after training based on the same dataset. In accordance with the data we chose and ceaseless testing, we observe itemCF contains the most accurate rate. However, we theoretically and empirically conceive each algorithm owns different advantages and drawbacks, should be used in the specific circumstance.
Research on the Applications of Neural Network Algorithms in Deep Hedging
Authors: Jin Chenjia
Published: April 2023

Under market completeness assumptions, hedging a portfolio of derivatives is straightforward. In view of friction, transaction costs, liquidity and other factors, a framework is presented to extend the pricing and hedging with the hedging strategy treated as a neural network. We study the deep hedging model under incomplete market constraints such as frictions, traction cost, permanent impacts on the market and illiquidity. We discuss the limitations of certain models concerning the applications in deep hedging with constraints. After which, we analyse the advantages of different models and their joint models and find that the hedging strategy is close to the Black-Scholes delta hedging strategy. An example is also given when training after designing two hedging models. The Black-Scholes delta hedging is indeed approximated by unsupervised learning.
Precise Human Removal and Inpainting Using Mask RCNN and LaMa
Authors: Wang Xiangzhi
Published: April 2023

Sometimes people are not supposed to be in a photo for various purposes, but this is usually unavoidable. Therefore, in the postprocessing of the image, it can be solved by removing people from the picture without affecting the coherence and naturalness of the object and background in the photo. We propose a human removal method based on image instance segmentation and image inpainting. Firstly, we send an image into the image instance segmentation algorithm to obtain a mask covering the unwanted parts of the picture. Then we do dilatation on this mask to expand the mask region. Finally, the inpainting algorithm will take the image and the processed mask and produce an inpainted image with no human and feel natural.
A Review on Parkinsons Disease Detection
Authors: N. Chandana , D. Divya C , D. Radhika A
Published: April 2023

Parkinson's Disease affects hundreds of thousands of people . Even with today's many sciences and advances, detecting this disorder in early stage remains a challenge. The detection of any neurological disorder could be critical. Various tools and techniques are now available on a global scale. These strategies are primarily built on mobile ,web-based utility .These strategies are also user-friendly because disease caregivers can use them while sitting at home and can display disease progression. Clinicians and researchers who want to conduct research also use these applications to display disease progressions. According to the current information review, certain algorithms have been used to obtain good results, In this case, the difficulty is defining the utmost effective classifier for Parkinsons Disease detection. Also emphasises a organized assessment of several styles of programmes employed globally for Parkinson's disease detection , prognosis, proposes a Parkinson's disease detection system that is entirely based on mobile and internet utility.
Hematologia e bioquímica sérica de frangos de corte suplementados com sulfatos de condroitina e de glucosamina na ração
Authors: Martins Julyana Machado da Silva , Santos Neto Lindolfo Dorcino dos , Carvalho Genilson Bezerra de , Castejon Fernanda Vieira , Oliveira Evelyn de , Sgavioli Sarah , Martins Danieli Brolo , Café Marcos Barcellos
Published: April 2023

Objetivou-se avaliar a hematologia e a bioquímica sérica de frangos de corte suplementados com sulfatos de condroitina e de glucosamina na ração. Foi conduzido um experimento em delineamento inteiramente casualizado, em esquema fatorial 3 x 3 (três níveis de sulfato de condroitina: 0; 0,05 e 0,10%; e três níveis de sulfato de glucosamina: 0; 0,15 e 0,30%), cada tratamento com seis repetições de 30 aves. Foram avaliadas as variáveis de hematologia (hemácias, hemoglobina, hematócrito, proteínas plasmáticas totais [PPT], trombócitos, leucócitos, eosinófilos, monócitos, heterofilos e linfócitos) e bioquímica sérica (proteínas séricas totais [PST], albumina, globulinas, aspartato aminotransferase [AST], gama glutamiltransferase [GGT], fosfatase alcalina [FA], cálcio total, cálcio iônico, fósforo, sódio, potássio e cloretos) aos 21 e 42 dias. Os dados foram submetidos à análise de variância. Quando as médias diferiram significativamente pelo teste F, a análise ortogonal foi realizada para testar os efeitos lineares e quadráticos dos níveis dos sulfatos de condroitina e de glucosamina. Observou-se efeito linear decrescente (p = 0,0399) do sulfato de glucosamina na quantidade de monócitos aos 42 dias. Houve interação dos sulfatos para leucócitos totais (p = 0,0099) e linfócitos (p = 0,0004) aos 21 dias. Frangos suplementados com 0,10% de sulfato de condroitina mostraram um aumento linear dos leucócitos (p = 0,0287) e dos linfócitos (p = 0,0144) com a inclusão de sulfato de glucosamina. A suplementação com sulfato de condroitina aumentou linearmente (p = 0,0099) a albumina sérica e afetou de forma quadrática (p = 0,0140) as PST aos 21 dias. O sulfato de glucosamina demonstrou um efeito quadrático (p < 0,05) sobre a albumina aos 42 dias, o menor valor foi encontrado para a inclusão de 0,06%, respectivamente. O sulfato de glucosamina reduziu linearmente (p = 0,0237) os cloretos aos 21 dias e aumentou linearmente (p = 0,0012) o cálcio total aos 42 dias. Verificouse interação (p < 0,05) dos sulfatos para cálcio total aos 21 dias, cálcio iônico aos 21 e 42 dias e para fósforo, cloretos e sódio aos 42 dias. A suplementação com os sulfatos de condroitina e de glucosamina na ração de frangos de corte favoreceram o sistema imune e o metabolismo de minerais, com aumento nas concentrações séricas de cálcio, fósforo e sódio.
Sex and animal behavior on yield and bruises in different beef cuts
Authors: Vaz Ricardo Zambarda , Lucas Jeniffer Danielle , Dutra Maryelen Medianeira Martins , Vaz Fabiano Nunes , Pascoal Leonir Luiz , Bethancourt-Garcia Javier Alexander , Sartori Dayana Bernardi Sarzi , Restle João
Published: April 2023

The objective of this study was to examine the effects of behavioral differences in cattle on bruising on different cuts and on carcass yield. A total of 4,061 lots of cattle were evaluated, which corresponded to 199,026 carcasses. Animal temperament was classified as calm, anxious, or excited. The following carcass cuts were evaluated: round, rump, shin, thin flank, tenderloin, and rib. Of the total number of slaughtered animals, 68.26% had at least one type of bruise with complete removal of the affected tissue. There was an interaction effect between sex and temperament on the occurrence of bruises on the different cuts and on carcass yield. In castrated males, bruises on the round, rump, shin, and tenderloin cuts did not differ between temperament classes, but the excited males showed more bruises on the thin flank and rib cuts. Among the females, for all cuts, the number of bruises was higher (P<0.05) in those with excited temperament than in the anxious and calm animals, which did not differ (P>0.05). Additionally, carcass yield relative to plant weight decreased (P<0.05), with the calm females exhibiting the highest values, followed by those with anxious and excited temperament. In the castrated males, however, although performance declined, those with anxious and excited temperament did not differ (P>0.05). Females and more reactive animals have more bruises on their carcass.
Estrutura genética e consanguinidade de ovinos Romney Marsh no Brasil
Authors: Machado Jean Pierre Martins , Ferreira Otoniel Geter Lauz , Carolino Nuno , Vaz Ricardo Zambarda
Published: April 2023

O último censo pecuário informa que o Brasil possui 17.976.367 cabeças de ovinos. Aproximadamente 23,69% desse efetivo está localizado na região sul do país, onde predomina a criação de raças produtoras de lã, ou lã e carne. Endogamia ou consanguinidade é definida como o acasalamento de indivíduos relacionados, e tende a ocorrer quando os rebanhos são pequenos ou provenientes de poucos genitores. Este estudo teve como objetivo estudar a estrutura e a diversidade genética do rebanho ovino da raça Romney Marsh no Brasil. Os dados de pedigree utilizados foram obtidos na Associação Brasileira de Criadores de Ovinos (ARCO), que é a mantenedora do banco de dados de registro de ovinos. Para uma análise mais completa foram utilizados dados dos Livros de Registro Puro de Origem (PO). A população referida como “total” foi composta por 22.833 indivíduos, e a população referida como “referência” composta por 17.053 registros. Os coeficientes de consanguinidade individual e médio, bem como as frequências gerais, foram calculados usando o software SAS. Os indicadores demográficos foram determinados a partir do software ENDOG. O coeficiente de consanguinidade médio encontrado na população total foi de 2,90%, e na população de referência foi de 3,55%. O valor mínimo de consanguinidade encontrado na população estudada foi de 0,01% e o máximo, foi de 43,47%. Animais consanguíneos na população de referência completa foi de 10,31%. Em 2018 os animais consanguíneos representavam 82,55% da população cadastrada. Intervalo médio de gerações 4,0488 anos. Devido ao uso intensivo de poucas linhas de reprodutores e ao alto grau de uniformidade genética da população, a raça Romney Marsh apresenta estreitos gargalos nos pedigrees. A população atual da raça Romney Marsh provém de apenas duas origens genéticas, sendo necessário introduzir genes novos para evitar a erosão genética e perdas por consanguinidade acentuada.
Implementing an Educational Module for Orthopaedic Residents Placing Skeletal Traction
Authors: Nielsen Ena , Walterscheid Zakkary , Beingessner Daphne , Kleweno Conor
Published: April 2023

Introduction:

Although placement of a distal femoral traction (DFT) pin is a relatively simple procedure used to stabilize femoral and pelvic fractures, it places patients at risk of iatrogenic vascular, muscular, or bony injury. We designed and implemented an educational module combining theory and practical experience to standardize and improve resident teaching on the placement of DFT pins.

Methods:

We introduced a DFT pin teaching module into our second-year resident “boot camp,” which is used to help prepare residents for taking primary call in the emergency department at our level I trauma center. Nine residents participated. The teaching module included a written pretest, an oral lecture, a video demonstration of the procedure, and a practice simulation on 3D printed models. After completing the teaching, each resident underwent a written examination and proctored live simulation involving 3D models using the same equipment available in our emergency department. Pre-teaching and post-teaching surveys were used to assess resident experience and confidence with placing traction in the emergency department.

Results:

Before the teaching session, the rising postgraduate year 2 residents scored an average of 62.2% (range, 50% to 77.8%) on the DFT pin knowledge quiz. This improved to an average of 86.6% (range, 68.1% to 100%) (P = 0.0001) after the teaching session. After completing the educational module, they also demonstrated an improvement in confidence with the procedure, from 6.7 (range, 5 to 9) to 8.8 (range, 8 to 10) (P = 0.04).

Discussion:

Despite reporting high levels of confidence in their ability to place traction pins before starting the postgraduate year 2 consult year, many residents also reported anxiety around the accurate placement of traction pins. Early results of our training program showed improved resident knowledge of safe placement of traction pins and improved confidence with the procedure.
Effectiveness of Quiz, Quiz, Trade Incorporating Hugot and Pop Rock Songs in Enhancing Students’ Performance in Earth Science
Authors: Calzada Marc Paul Tunac , Antonio Vida Villa
Published: April 2023

This descriptive study utilizing the pretest-posttest control group design investigated the effectiveness of Quiz, Quiz, Trade incorporating Hugot and Pop Rock Songs (QQTIHPRS) in enhancing students’ performance in Earth Science. This was done during the First Quarter of School Year 2022-2023 to the 81 Grade 10 students of Sarrat National High School. 35-item researchers-made test (pretest and posttest) and a motivation checklist were used to gather data. Teaching using traditional lecture-discussion methods was done in both groups but with the addition of QQTIHPRS in the experimental group. Students’ pretest and posttest scores were analyzed using frequency distribution and percentage. The t-test was used to find out if there exists significant difference between the students’ mean scores in the pretest, posttest, and pretest and posttest in both experimental and control groups. The mean was used to analyze data from the students’ motivation checklist. Results showed that both groups have gained significantly higher scores in the posttest than in the pretest. However, the posttest mean score of the experimental group is significantly higher than that of the control group. This implies that the students in the experimental group performed better than those in the control group. It was also found that when QQTIHPRS were utilized in teaching Earth Science, students were actively involved; excited and thrilled; motivated to work, shared their ideas, and established camaraderie and teamwork. These findings show that the use of QQTIHPRS in addition to the usual lecture-discussion method enhanced the performance of students in Earth Science.
CONTROLE INTERNO MUNICIPAL: UM ESTUDO DE CASO DOS MUNICIPIOS DO ESTADO DO PIAUÍ
Authors: De Oliveira Francisco das Chagas Braz
Published: April 2023

Este artigo pretende analisar a funcionalidade dos controles internos dos municípios piauienses, considerando sua estrutura e autonomia l, mediante as teorias relacionadas ao controle interno, a democracia e a transparência. O estudo utilizou uma abordagem quantitativa. a análise quantitativa foi desenvolvida através de dados secundários, uma vez que foram obtidos a partir de uma base de dados formada pelas respostas dos questionários obtidas pelo software de pesquisa lime survey, realizados pelo Tribunal de Contas do Estado do Piauí. Na análise foi verificado que a funcionalidade do controle interno na maioria dos municípios do Piauí não é uma adequada para um bom funcionamento, sendo necessário que os municípios estruturem de forma adequada o controle interno e tenha mais autonomia, a fim de que contribua com as gestões locais. O resultado da pesquisa pode contribuir para suprir a ausência, na literatura brasileira, de artigos que façam uma discussão teórica acerca dos aspectos relacionados controle interno municipal no Estado do Piauí.
SUICÍDIO EM MUNICÍPIO DO INTERIOR CEARENSE: UMA ABORDAGEM SOBRE O FENÔMENO
Authors: Fernandes Lidiane Luzia de Araújo , Da Silva Ediney Linhares , Carneiro Eduardo Cipriano , Dote Karla Carolline Barbosa , De Brito Joyce Maria Portela , Carneiro Cleide , Pinto Antônio Germane Alves , Ruiz Erasmo Miessa
Published: April 2023

Trata-se de um estudo de caso sobre os indicadores de suicídio em município do Interior Cearense, cujo objetivo voltou-se a entender as causas pelas quais tem se dado o aumento de suicídios em Trairi. Como metodologia foram adotadas as pesquisas bibliográfica, documental, descritiva e qualitativa, tendo como análise categorias como saúde mental, suicídio e os Centros de Atendimento Psicossocial. A partir dos apanhados obteve-se que a interação das categorias pode atingir graus de risco comunitário quando não há a devida atenção e respectivo investimento financeiro destinado à saúde pública. Com efeito, o aumento nos casos de suicídio é identificado como um dos desdobramentos da impossibilidade do equipamento específico atender demandas que vão do público infantil ao adulto e que, dentro de suas particularidades, tem cerceados os direitos de atendimento digno conforme tais especificidades. Como desfecho, é apresentado que o índice insuficiente de investimento faz emergir a necessidade de iniciativas que abordem esta área de estudo para se legitimar a busca por melhorias das políticas de saúde pública e uma estruturação dos serviços e equipamentos de saúde para a realização de atendimentos cada vez mais eficazes, dentro dos cenários em que estas se fazem presentes.
Kayıp Burjuvazinin Peşinde: İlk Kemalistler Üzerine Bir Sınıf Analizi
Authors: ATILGAN Gökhan
Published: April 2023

Bu makale, ilk Kemalistlerin sınıfsal konumları üzerinedir. Millî Mücadele ile Cumhuriyetin kuruluş sürecinde gerçekleşen Türkiye’deki burjuva devriminin öncüleri olan ilk Kemalistlerin toplumsal sınıflarla ilişkisi hakkında iki tür yaklaşım geliştirilmiştir. Birinci yaklaşıma göre ulusu kurtaran ve cumhuriyeti kuran ilk Kemalistler sınıf-aşırı bir konumdadır. İkinci yaklaşıma göre ise ilk Kemalistler bağımsız bir sınıftır. Modern Türkiye’nin kuruluş sürecinde bir burjuva sınıfının olmadığı konusunda birleşen bu yaklaşımların ortak yanı ilk Kemalistlere toplumsal sınıfların oluşumunu engelleme ya da toplumsal sınıfları yaratma gücü atfetmeleridir. “Kayıp burjuvazi”nin peşine düşen bu makale ise daha farklı bir yaklaşıma sahiptir ve ilk Kemalistleri toplumsal sınıfların içinde konumlandırmayı önermektedir. Makalede Türkiye’deki burjuva devrim süreci Karl Marx’ın sınıf kavramını kullanımındaki esneklikten, Eşitsiz ve Bileşik Gelişme Kuramının geliştirdiği geniş bakış açısından ve Althusserci okulun bazı kavramlarının adaptasyonundan yararlanılarak yeniden tartışılmıştır. Bu tartışma çerçevesinde İlk Kemalistler Türkiye burjuvazisinin asli bir bileşeni olarak konumlandırılmıştır. Ancak bu konum sabit ve ebedi bir konum olarak değerlendirilmemiştir.
Sil Baştan: Pandemi Sürecinde Kadınların Derinleşen Yoksulluk Deneyimleri
Authors: TAŞKIRAN Gülçin
Published: April 2023

Bu çalışmada özellikle pandemi sürecinde daha da derinleşen yoksulluğun,  özellikle yoksulluk sınırı altında yaşayan kadınları nasıl etkilediğine odaklanılmıştır. Geçimini ev işçiliği ile sağlayan kadınların yoksulluk deneyimleri konu edilmektedir. Bu kapsamda yüz yüze derinlemesine görüşme gerçekleştirilen 14 kadın ev işçisinin pandemi öncesi ve pandeminin ilk bir yıllık sürecindeki yoğun kapanma dönemlerindeki yoksulluk deneyimleri, hane içi sağlıklı ve yeterli gıdaya erişim, sağlık hizmetlerine ve eğitim hakkına erişim, işsizlik deneyimleri gibi konular üzerinde durulmuştur. Görüşme bulgularına göre, pandemi öncesi dönemle karşılaştırıldığında, pandemi dönemindeki hane içi barınma ihtiyacını karşılama, fatura ödeme, gıdaya erişim, sağlık ve eğitime erişim gibi konularda “insani olmayan” koşullarda yaşamak zorunda kalmaya başladıkları; yakın çevrelerinin de benzer durumları yaşaması sebebiyle ekonomik destek bulmakta güçlük çektikleri görülmektedir. Pandemi öncesi döneme göre menstrüel ürünlere erişimde daha çok zorluk yaşayan kadınların, hane içi ihtiyaçların karşılanması için yardımlara başvurma, askıda ekmek ya da sıcak yemek sıralarında bekleme konularında da hanedeki erkeklerden daha görünür oldukları dikkat çekmektedir. Ayrıca pandemi öncesi dönemde yoksulluk sınırı altında yaşamalarına rağmen ‘dini referanslara dayanan’ bakış açısıyla kendilerini yoksul olarak tanımlamadıkları halde özellikle kapanma dönemlerinde ve işsiz kaldıkları dönemlerde kendilerini yoksul olarak gördükleri, yoksullukla mücadele için hane birleştirme, yemek bölüşme, kaçak elektrik kullanma gibi geçinme stratejileri geliştirdikleri ve yoksullukları derinleştikçe yoksulluğun kuşaklararası aktarımına ve geleceklerine dair kaygılarının ve ümitsizliklerinin arttığı görülmektedir.
Kırsal Bölgelerde Göçmenlerin İşgücü Piyasasına Katılımı ve Yerel Ekonomiye Etkisi: Karacabey Örneği
Authors: YILMAZ-ELMAS Fatma , KAYA Ayhan
Published: April 2023

Kırsal bölgelerde göçmenlerin işgücü piyasasına katılımı ve yerel ekonomiye etkisini, Bursa Karacabey kırsalı özelinde irdeleyen bu makale, göçün kırsal boyutunu ele alan literatürdeki boşluğa dikkat çekmek amacıyla kaleme alınmıştır. Uluslararası göçmenlerin entegrasyonu sürecinde kırsal-dağlık bölgelerdeki işgücü piyasaları üzerinde yarattıkları etki, katılımcı eylem araştırması çerçevesinde yürütülen bu araştırmanın merkezinde yer almaktadır. Araştırmada, kırsal alanlarda ve yerel kalkınma özelindeki göç etki analizi, tarıma dayalı kalkınma ve tarımsal işgücünün ötesinde irdelenerek, bölgedeki diğer yerel olanakları ve bölgesel aidiyeti de kapsayan daha geniş bir perspektiften konuya yaklaşılmıştır. Karacabey’de 2021 yaz aylarında gerçekleştirilen alan araştırması sırasında Suriyeli ve Afganistanlı göçmenlerle birlikte ve yerel aktörlerle, derinlemesine mülakatlar gerçekleştirilmiştir. Kırsal bölgelerde uzun zamandan bu yana yaşlanan nüfus, verilen iç göç, atıl tarım arazilerinin varlığı, sanayileşme ve diğer çevresel faktörler gibi yapısal sorunlar düşünüldüğünde göçmen işgücüne olan ihtiyacın giderek arttığı, ancak bu demografik dönüşümü sağlayacak yönetsel süreçlerin yeterince hayata geçirilemediği görülmüştür. Çalışmada, sürdürülebilir kalkınma konusunda Karacabey kırsalını pek çok zorlukla karşı karşıya bırakan süreç, yerel ve merkezi aktörlerin güvene dayalı bir şekilde iş birliği içinde çalışmaları, tarımsal üretimin desteklenmesi, ekilebilir alanların veraset süreçlerinde yeniden işlevsellik kazanabilmesi için mevzuattaki sorunların giderilmesi gerektiği yönünde bazı sonuçlara ulaşılmıştır.
Giresun’un Emek Coğrafyasında "Fındığın Mekânlarını" Görmek
Authors: ERDOĞAN Emine , ERGİN Nezihe Başak
Published: April 2023

Bu çalışma “fındık üretim süreci kentteki mekânları nasıl dönüştürüyor?” sorusuna odaklanmaktadır. Mekânın fındık emeği ile nasıl üretildiğini ve bu mekânsal üretimin fındık üretimini nasıl mümkün kıldığını inceleyerek, Giresun’da fındığın üretiminin esasen kapitalizmin mekânı üretmesiyle mümkün olduğunu göstermeyi amaçlamaktadır. Makale kent mekânlarının fındık üretim süreci bağlamında nasıl üretildiğine odaklanarak, Giresun kentini, mekânı ve kentsel mekânın üretimini pasif ve fiziksel bir ele alışa dayanan fındığın coğrafyası olarak değil, fındık üretim sürecini sağlayan mekânın üretimi bağlamında düşünmeye bir davet olarak değerlendirilebilir. Çalışma fındık ve mekân arasındaki bu karşılıklı üretim sürecini görünür kılmak için; fındık üretim sürecinin birbirini tamamlayan "kalıcı" ve "geçici" mekânlarına, bu mekânların üretiminde işçilerin failliğine ve bunların sermaye lehine şekillenmelerine odaklanmaktadır. Yazı ilk olarak genel hatlarıyla emek coğrafyası çalışmalarını ve mekânsal örgütlenme (spatial fix) kavramını ele aldıktan sonra, mekânın üretiminde işçinin failliğine odaklanan kuramsal tartışmalara değinmektedir. Daha sonra görsel sosyoloji çalışmalarının azlığını dikkate alarak ayrı bir bölümde çalışmanın metodolojisini tartışacak ve fotoğrafın sosyolojik bir çalışmada nasıl kullanılabileceğini makalenin konusu özelinde görünür kılmaya çalışacaktır. Bulgular bölümünde ise fındık üretimiyle ilişkili olarak üretilen geçici ve kalıcı mekânlar saha çalışması kapsamında elde edilmiş olan fotoğraflar üzerinden tartışılacaktır.
Analysis of Evaluative Questions in the Life and Earth Sciences Textbook for Original Teaching Speciality (Grade 10) in Morocco according to Bloom's cognitive levels
Authors: Hamdani Ahmed , Hanifi Siham , Mziwira Mohamed
Published: April 2023

This research aimed to analyze the evaluative questions included in the SVT textbook “Manhal Ouloum Al Hayat wa Al Ard” prescribed for the common core students, original teaching branche, through a study conducted in two phases. In the first, we conducted a questionnaire survey devoted to the (40) students about the use of the SVT textbook and its importance in the learning process, using a 17-item form; whereas, in the second we used a special card to analyze (91) evaluative questions included at the end of the first unit of the above-mentioned textbook in light of Bloom's classification of cognitive objectives (knowledge, comprehension, application, analysis, synthesis, evaluation). In finding, the student questioning showed that 80% of them consider that the textbook is an important and extensively used resource for learning either in class or as homework because it meets their learning needs. On the other hand, the analyzed evaluative questions focused on the lowest levels of the cognitive domain with percent of (84%) of the total questions distributed on the knowledge (53%), and comprehension (23%), and application (8%). While it showed weakness in the focus on the higher cognitive levels: the level of analysis got a percentage of questions ranged between (12.5%) ​​and (15.79%), and the percentage of questions related to the level of synthesis did not exceed 5.26%, and there were no levels of evaluation.
Designing An E-Course In Light of Quality Matters Standards, And Measuring Its Effectiveness on Developing The Skills of Educational Infographic Design And Attitudes Towards The E-Course Among Postgraduate Female Students At Hail University.
Authors: Rashidi Muna
Published: April 2023

This study aimed at designing an e-course in light of Quality Matters (QM) standards, and measuring its effectiveness on developing the skills of educational infographic design and attitudes towards the e-course among postgraduate female students at Hail university. The study adopted the quasi-experimental methodology based on one-group design. To achieve the objectives of the study, the course of "new trends in education technology" was designed as an e-course in light of QM standards, an achievement test for the cognitive aspect of the skills of educational infographic design was designed, an evaluation card for the educational infographic design, and an attitude scale towards the e-course were prepared. The study sample consisted of (22) female students of master's degree at Hail university. The results showed a statistically significant difference at level (α ≤ 0.05) between the mean scores of the study sample in the pre and post application of the achievement test, the evaluation card and the attitudes scale, the differences were in favor of the post application. The results also showed the effectiveness of the e-course on developing the performance side of infographic design skills, and in developing attitudes towards the e-course among the sample of the study.
Towards a Promising Forward-looking Vision for the Student Guidance and Counseling System: King Saud University as a Model
Authors: Alzamil Waleed
Published: April 2023

This paper sheds light on analyzing the reality of the student guidance and counseling system in the university environment towards a forward-looking vision to activate this system at King Saud University as a model. The descriptive approach was used to define the roles and objectives of guidance and counseling in the university educational system. A set of theoretical frameworks and guidelines were analyzed to activate the guidance and counseling system in order to build a forward-looking vision for King Saud University that takes into account the development of the intellectual, physical, social and psychological structure of student. Numerical data were analyzed using the questionnaire tool for a random sample targeting faculty members and counselors at King Saud University as a case study. The results of the study showed that there is a gap between the objectives of the guidance and counseling programs and the reality of practice at the university. The study recommended the need to develop the student guidance and counseling system at King Saud University so that it is part of an integrated framework for the various units and programs of the university.
METİSİLİNE DİRENÇLİ STAPHYLOCOCCUS AUREUS KLİNİK İZOLATLARININ HIZLI BELİRLENMESİ İÇİN StaResMet®’İN PERFORMANSININ DEĞERLENDİRİLMESİ
Authors: YILDIRIM Kübra
Published: April 2023

Metisilin direncinin hızlı ve doğru tespiti, Staphylococcus aureus ile gelişen enfeksiyonların tedavisinde önemli bir aşamadır. Bu çalışmada, Akdeniz Üniversitesi Hastanesi Merkez Laboratuvarı kültür koleksiyonundan temin edilen S. aureus izolatlarında metisilin direncinin hızlı tespiti için StaResMet® kiti (AYCMED Medikal ve Tıbbi Cihazlar San. ve Tic. A.Ş., Samsun, Türkiye) değerlendirilmiştir. Tür düzeyinde tanımlamaları MALDİ-TOF (Becton Dickinson, BD) ile yapılarak seçilen 290 adet S. aureus izolatı, StaResMet® kiti ile metisilin direnci açısından test edilmiştir. Çalışmada referans yöntem olarak CLSI tarafından önerilen sıvı mikrodilüsyon (SMD) yöntemi kullanılarak sefoksitin minimum inhibitör konsantrasyonu (MİK) belirlenmiştir. Test yöntemleri eş zamanlı olarak, aynı bakteriyel inokulumlar kullanılarak gerçekleştirilmiştir. Kalite kontrol için S. aureus ATCC 29213 (metisiline duyarlı) ve S. aureus ATCC 43300 (metisiline dirençli) suşları kullanılmıştır. CLSI kriterlerine göre MİK ≤4 μg/ml olan suşlar, metisiline duyarlı; MİK ≥8 μg/ml olan suşlar ise metisiline dirençli kabul edilmiştir. StaResMet® ile tüm izolatların inkübasyonun altıncı saatinde duyarlılık sonuçları belirlenmiş ve SMD ile 20 saatin sonunda elde edilen duyarlılık sonuçları ile karşılaştırılmıştır. StaResMet® kiti ile alınan duyarlılık sonuçları, SMD ile kategorik olarak 100 % uyumlu bulunmuştur. Referans yöntem ile StaResMet® kit arasında temel uyum oranı 98.27 % olarak saptanmıştır. Her iki yöntem arasında da küçük, büyük veya çok büyük uyumsuzluk bulunmamıştır. StaResMet®, metisiline dirençli Staphylococcus aureus’un saptanmasında hızlı, kullanımı kolay, güvenilir bir kolorimetrik ilaç duyarlılık kiti olup, klinik uygulamalarda kullanılma potansiyelinin yüksek olduğu düşünülmüştür.
A Stunning Backdrop: Alberta in the Movies 1917-1960
Authors: Graham Mary
Published: April 2023

Alberta’s magnificent landscape has served as a popular location for filmmakers since the dawn of the movie industry. For film pioneers, Alberta embodied the myth of the Great Northwest, a primeval mountain wilderness and the last western frontier. In turn, Canadian entrepreneurs were eager for American studios to drape Alberta landscape across the backdrop of their movies, an advertisement without equal. A Stunning Backdrop is the untold story of six rollicking decades of filmmaking in Alberta. Mary Graham draws on twelve years of exhaustive research to reveal a film history like no other, illuminating the deep importance of the province to Hollywood. She explores the often friendly partnerships between American filmmakers and Indigenous communities, particularly the Stoney Nakoda, that provided economic opportunities and, in many cases, allowed them to retain religious and cultural practices banned by the Canadian government. Beautifully illustrated with archival photography and featuring century-old set stills alongside photographs of the locations as they appear today, by Jean Becq, Solomon Chiniquay, Jeff Wallace, George Webber, and Paul Zizka, A Stunning Backdrop is the fascinating, often surprising, always unconventional story of film in a province whose rugged, compelling, multifarious, terribly beautiful landscape continues to inspire filmmakers and audiences around the world.
BANK VAULT SECURITY SYSTEM
Authors:   Computer Science & Engineering RGIT, Swetha V Prof
Published: April 2023

People are always searching for safe places to keep their money and belongings. People who are more mature think that banks are the most reliable location to store their belongings. Since items housed in bank vaults are frequently the target of thieves, bank security has been a crucial component in ensuring that visitors feel comfortable about their belongings. In the past, banks have used biometric identification, keypad cinches, burglar warnings, and enhanced security. By automating bank security, this scheme also sets up a trap for any potential offenders. Our design will use two doors for the bank vault instead of the typical single door style. Face recognition technology will be used at the initial entry. If someone is permitted there, they are also permitted at the secondary entry. This camera can identify whether a person is a real person by looking at their face. Although a communication or data transfer will take place through the BLYNK iot garçon, this door will be protected by the security system to allow access to the backup door in the next stage, or coming DOOR2, if permission is granted. A message will also be sent through the security station, and if the goal cannot be reached, an alarm or temptress will sound. The alternative door is coupled to a speech recognition system for access to the vault door. As a result, it will also be decided whether to provide a registered stoner access to the vault or not. Consequently, the provided outcome will support in raising bank vault security. Keywords—IOT, Security, Arduino uno, raspberry pi, Biometrics, finger print, face recognition, sensor, PI camera, dc motor
BUILDING APPRECIATION OF TRADITIONAL HOUSES IN MHOW
Authors: THAKUR YASHRAJ SINGH
Published: April 2023

Traditional architecture which define the culture and historical identity of building, even which mates us look back to the past. Some amazing valuable Heritage like this can be seen in MHOW too. MHOW is a British settlement where there is a wonderful confluence of British and Indian traditional architecture. But this building Heritage is now getting decrepit with time and it is outdated according to their modern functional requirement. Although traditional architecture in MHOW is accumulated experience of successive generation. But the modern building gives attention only to standards and rule, which do not suits to Indian culture and ignore the traditional spaces which is integration of socio culture norms. This research paper explore traditional MHOW residences, majorly focusing on those which are Indian traditional based. In order to gain a better understanding of the houses in the selected areas and there inhabitants this paper based on ethnographical study consists of observations, informal interviews, constructed questionnairies and architectural study for the houses specially elevations. The contribution of this study is to search for architecture deep knowledge of traditional residence form to encourage the designers to think about the residential architectural design as product of social culture norms. Key words :- Traditional, Culture, Historical identity, Socio-Culture, Ethnographical.
A Study on the Digital Payment Gateways and its Future
Authors: Sawant Samruddhi
Published: April 2023

India, a country where most transactions were done through cash, was moving towards a cashless economy. Post demonetization the usage rate of digital payment system took a linear growth. During the chaos caused after banning high value notes, digital payments worked as a savior. This steady rise was accelerated due to the pandemic in 2020. Cashless payment became a necessity and is now widely used in day to day transactions. This paper studies the usage of digital payments and its currents available methods. It also highlights the future growth of this sector and its possibility of replacing the traditional cash payment. The research is conducted in Mumbai with a sample size of 100 respondents. This paper concludes the relationship of awareness, technology, convenience and safety with the usage rate of digital payment gateways.
PROTOCOL TO OPTIMIZE NETWORK LIFETIME USING WSN
Authors:   SCSVMV University Kanchipuram, Prema Dr.R , Manikanta G , Venkat G
Published: April 2023

This paper investigates the problem of energy consumption in wireless sensor networks. Wireless sensor nodes deployed in harsh environment where the conditions change drastically suffer from sudden changes in link quality and node status. The end-to-end delay of each sensor node varies due to the variation of link quality and node status. On the other hand, the sensor nodes are supplied with limited energy and it is a great concern to extend the network lifetime. To cope with those problems, this paper proposes a novel and simple routing metric, predicted remaining deliveries (PRD), combining parameters, including the residual energy, link quality, end-to-end delay, and distance together to achieve better network performance. PRD assigns weights to individual links as well as end-to-end delay, so as to reflect the node status in the long run of the network. Large-scale simulation results demonstrate that PRD performs better than the widely used ETX metric as well as other two metrics devised recently in terms of energy consumption and end-to-end delay, while guaranteeing packet delivery ratio. Key words:- Wireless Sensor Network (WSN), EESAA, Pairwis, Clustering, Sleep, Awake.
MENTAL DISORDER PREDICTION USING MACHINE LEARNING
Authors:   Department of Master of Computer Applications School of Computer Science & IT, Jain Deemed to Be University,  Bengaluru, Karnataka– 560041, India., M Raja , Bargavi Dr.S.K.Manju
Published: April 2023

The modern lifestyle has increased stress and pressure, and people are facing psychological problems and anomalies. However, the usefulness of these abnormalities in distinguishing individual patients with bipolar disorder from mood disorders or healthy controls and stratifying patients by overall disease and burden has not been evaluated in large cohorts. Is not ... This study uses a machine learning approach to study bipolar disorder using the Mood Disorder Questionnaire (MDQ). A dataset is fed to a decision tree classifier, which determines the most important features in the dataset and makes them the decision factors for that level in the decision tree. Test samples are compared to each level of determinant, and this determination classifies each test case into a defined class (screened positive or screened negative). The Mood Disorder Questionnaire is a viable method for detecting bipolar disorder.
DETECTION OF HANDWRITTEN SIGNATURE FORGERY USING CNN
Authors:   SCSVMV University Kanchipuram, Prema Dr.R , REDDY PALLE ANUHYA , SANGHAVI NALLAGONDA
Published: April 2023

Hand verification and phony discovery is the process of vindicating autographs automatically and incontinently to determine whether the hand is real or not. There are two main kinds of hand verification static and dynamic. stationary, or offline verification is the process of vindicating a document hand after it has been made, while dynamic or online verification takes place as a person creates his/ her hand on a digital tablet or an analogous device. The hand in question is also compared to former samples of that person's hand, which set up the database. In the case of a handwritten hand on a document, the computer needs the samples to be scrutinized for disquisition, whereas a digital hand which is formerly stored in a data format can be used for hand verification. The handwritten hand is one of the most generally accepted particular attributes for verification of identity, whether it may for banking or business. The sub-sphere of machine literacy that's deep literacy allows us to train a model with the help of deep literacy algorithms. This is enforced in a complicated neural network model trained to classify and descry the forged hand from a collection of image samples which consists of two different sets of images, say real and forged image sets. We constructed a complicated neural network model from scrape to prize features from a given dataset. The image is given as input, and it tells whether a hand is forged or not. This will help descry the fraud. KEYWORDS: CNN, Forgery, Signature
An In-Depth Study of Cryptocurrency Exchanges
Authors:   CMS University, Bangalore, India, B.S Prof. Babitha
Published: April 2023

This research paper provides an in-depth analysis of cryptocurrency exchanges by examining their types, regulatory environment, challenges, and user behavior. We conducted a comparative study of ten popular cryptocurrency exchanges and collected data on user behavior and preferences through surveys, interviews, and website analysis. Our findings reveal that crypto exchanges face numerous challenges such as security, liquidity, and regulatory compliance. We also found that users prefer exchanges that offer a wide range of cryptocurrencies, high liquidity, low fees, and strong security measures. This research contributes to the understanding of the cryptocurrency industry and provides insights for policymakers, investors, and users. Keywords : Cryptocurrency Exchanges, Bitcoin, Trading, Portability and Vulnerability
DESIGN FOR DISASSEMBLY IN ARCHITECTURE
Authors: Yadav Chirayu , Garg Ar. Yashika
Published: April 2023

DFD, when summed up simply, refers to architectural areas in which the structures are either temporary or occasionally timeless. A society, a public space, or a body of ideas can invest and embed itself in a temporary structure, which is one of the most important fields of architecture since the past. Temporary structures rapidly appear and vanish, but they are intended to do so. Nowadays, there is an urgent need for flexibility in the housing sector. It starts to become a necessary component of architecture. The pace of life has gotten faster, and people's wants are always changing. Architecture is difficult to suit all consumers' demands because of this Designers are experimenting and creating spaces full of innovative ideas crossing the border in the traditional approach to DESIGN FOR DISASSEMBLY. This paper explores and systematizes the subject of flexibility and adaptability of buildings in design for disassembly. Flexibility enables the evolution of design as per consumers need. To modify home as per the need. Design for disassembly is an important concept in sustainable architecture that involves designing buildings with the ability to be easily taken apart and reused or recycled. This research paper explores the various aspects of design for disassembly in architecture, including its benefits, challenges, and strategies for implementation. The paper also presents case studies of buildings that have successfully incorporated design for disassembly principles. Key words- Design for disassembly (DFD), interchange, flexibility, adaptability.
SURVEY OF BLOOD CANCER DETECTION AND CLASSIFICATION TECHNIQUES
Authors:   COMPUTER ENGINEERING & SANKALCHAND PATEL COLLEGE OF ENGINEERING, VISNAGAR, SAVAN JADAV , PATEL DR. RAJESH
Published: April 2023

Blood cancer is a complex and heterogeneous group of diseases that can affect the production and function of blood cells. Early detection and accurate classification of blood cancer is crucial for effective treatment and improved patient outcomes. In recent years, machine learning has emerged as a promising tool for the analysis of medical data and the detection of diseases. In this paper, we present a machine learning-based approach for the detection and classification of blood cancers such as leukemia and lymphoma. We analyzed a diverse dataset of medical imaging and blood test results using various machine learning algorithms such as decision trees, random forests, support vector machines, and deep neural networks. Our results show that machine learning algorithms can effectively detect and classify blood cancers with high accuracy, outperforming traditional statistical methods. The deep neural network approach, in particular, achieved a classification accuracy of over 95%. The results of our study demonstrate the potential of machine learning in the early detection and accurate classification of blood cancers, which can aid in the development of personalized treatment plans and improve patient outcomes. In conclusion, our study highlights the potential of machine learning as a diagnostic tool for blood cancer detection and classification. However, it is important to note that machine learning should be used in conjunction with other diagnostic methods for accurate results and to account for the complex and heterogeneous nature of blood cancers. Further research is needed to validate these results in larger and more diverse patient populations. Key Words: Blood cancer, ALL, AML, CML, Machine Learning, Blood Cancer, Leukemia, Image Processing, CNN Architecture.