bluuebunny/crossref_metadata_2025 huggingface dataset:
Meta-Analysis: The Effect of Vaccination on the COVID-19 Infection
Authors: Nurhayati Farida , Rahardjo Setyo Sri , Murti Bhisma
Published: March 2023

Background: The Indonesian government has determined that COVID-19 is a public health emergency and a non-natural national disaster that requires multi-strategy management. Strategies such as implementing health protocols and vaccination efforts to break the chain of transmission of COVID-19 must continue to be carried out massively. This study aims to analyze the effect of vaccination on COVID-19 infection.Subjects and Method: This study is a systematic review and meta-analysis, with PICO as follows Population= population aged ≥18 years. Intervention= Vaccination. Comparison= Not vaccinated. Outcome= COVID-19 infection. The articles used in this study were obtained from several databases including PubMed, Google Scholar, and Scopus. These articles were collected over 2 months. The keywords to search for articles are as follows “Vaccine OR Vaccination AND (Infection OR Trans-mission) AND COVID-19 OR SARS-CoV-2”. The articles included in this study were full-text articles with a retrospective or prospective cohort study design. Articles are collected using PRISMA flow diagrams. Articles were analyzed using the Review Manager 5.3 application.Results: A total of 10 articles reviewed in this meta-analysis study originating from England, Spain, France showed that COVID-19 vaccination is effective in reducing the risk of COVID-19 infection. People who were given the COVID-19 vaccine had a 0.22 times risk of being infected compared to those who were not vaccinated, and the reduced risk was statistically significant (aHR= 0.22; 95% CI= 0.13 to 0.36; p <0.001).Conclusion: COVID-19 vaccination is effective in reducing the risk of COVID-19 infection.
Keywords: vaccination, infection, COVID-19, SARS-COV-2
Correspondence:Farida Nurhayati. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: faridafay19@gmail.com. Mobile: +6285642154353.
UMA PLATAFORMA WEB PARTICIPATIVA APOIADA POR REALIDADE AUMENTADA PARA LOCALIZAR CARAVANÇARAIS (KHANS) ANATOLIANOS ORIENTAIS
Authors: Kidar Gulce , Ozgun Feyza , Balaban Özgün , Varinlioglu Guzden
Published: March 2023

The focus of this research is digital heritage in emergence. This study deals with how to use digital media tools to collect information about caravanserais (khans) to digitise lost heritage attributes. The study involved researchers compiling information about these caravanserais from references, and digitally mapping and generating identification tags based on the information in the sources. The researchers generated an online platform for information dissemination, consisting of the projection augmented model of the khans, and participatory web archive platform for crowdsourcing information. The interaction with users through the augmented representation and participation are the main features of this study, which represents a proposal for a method of interactive digital archiving. The digital khans can be exhibited in a virtual museum, or to be used as a database for those wishing to explore vanished heritage. The digital archiving project contributes to knowledge generation in placemaking using digital mediums and methods.
PERFORMANCE EVALUATION OF A MINI PERMANENT MAGNET SYNCHRONOUS GENERATOR (PMSG) FOR WIND ENERGY SYSTEM
Authors: AIKA TIMOTHY , IGBINOVIA SAMUEL , ORUKPE PATIENCE
Published: March 2023

In this work, the performance of a 500 W permanent magnet synchronous generator was evaluated in MATLAB /Simulink. The Simulink model consists of a wind turbine, a PMSG, and an AC – DC rectifier. The PMSG input parameter were measured and inputted in the Simulink block while the output results were voltages, currents and power respectively. The PMSG was tested at various wind speed. At the rated wind speed of 11m/s, the output power was 443.2 W.
OPTIMIZATION OF THERMOPHYSICAL PROPERTIES, COMBUSTION PERFORMANCE AND HARMFUL EXHAUST GASES OF BIODIESEL FUEL WITH NANOPARTICLE ADDITIVES
Authors: CELIK MEHMET , BAYINDIRLI CIHAN
Published: March 2023

Increasing use of diesel products causes decrease of oil reserves, global warming, increase in the world average and adverse effects on human health and the environment. Emissions from combustion in engines are directly related to the quality, properties and combustion characteristics of the fuel. Since the physical and chemical properties of the fuel affect the atomization characteristics, it is important for increasing the combustion efficiency. The most important fuel properties affecting the combustion of diesel fuel are cetane number, viscosity, density and calorific value. There are many applications in improving the chemical and physical properties of fuel. One of them is nanoparticle (NPs) additives adding in fuel. In this study, it was aimed to improve fuel properties with optimum additive ratio by adding CeO2, TiO2 and Co3O4 nanoparticle additives into biodiesel which are produced from cotton and canola oil. The effects of NPs additives in fuel properties such as viscosity, density, lower calorific value and flash points were investigated.
HARMONICS LEVEL IMPROVEMENT OF DISTRIBUTED GENERATION INTEGRATED DISTRIBUTION SYSTEM USING UNIFIED POWER QUALITY CONDITIONER
Authors: EBIAREDE PEREKEBINA , OSHEVIRE ATRICK
Published: March 2023

In this paper the use of active power filter to improve voltage and current distortion caused by the presence of dispersed generation in the distribution system is investigated. The harmonics produced by photovoltaic distributed generation sources is studied and the unified power quality conditioner is introduced as a technique of minimizing these harmonics generated by the presence of distributed generation. The network is modeled and simulated in ETAP 16.0 software environment and harmonic load flow results show an increase in harmonic level when DG is introduced into the network which is subsequently reduced by the introduction of UPQC into the network.
AN EXPERIMENT TO ANALYZE THE IMPACT OF STEAM ON THE PRODUCTIVITY OF THE STALAM RF 85 KW YARN DRYER
Authors: JAWAHAR HEMANTH KUMAR
Published: March 2023

Radio Frequency is one of the most commonly used technologies in the processing industries like textile, rubber, paper and many other sectors for drying purposes. The RF STALAM 85kW is a machine used to dry the yarn obtained after the dyeing and hydro extraction process. This machine uses radio frequency to remove the moisture content from the dyed yarn. In this research paper, I would like to share the findings of an experiment conducted on the RF STALAM 85kW yarn dryer machine. In this experiment, I have three trials each with and without the steam at variable conveyor belt speeds. The trials have been conducted at conveyor belt speeds of 5m/hr,5.5m/hr and 6m/hr in the presence and absence of steam. The primary objective of the research is to improve the productivity of the STALAM RF machine. The secondary objective of the research is to find out the impact of steam on the yarn drying ability of the machine. The tertiary objective of the research is to find the optimum speed. At the end of the experiment, I calculated the per day production to conclude the optimum speed to run the STALAM RF 85kW yarn drier machine to obtain maximum production with and without steam. From the above research, I have concluded that the conveyor belt speed and steam increase the productivity of the machine.
SMART TRAFFIC SIGNAL CONTROL SYSTEM FOR TWO INTER-DEPENDENT INTERSECTIONS IN AKURE, NIGERIA
Authors: SAMSON AJIBESIN , AKINLOLU PONNLE , OLUGBENGA OYEDEPO
Published: March 2023

The increasing growth in urban population and vehicular volume coupled with inefficient traffic management results in traffic congestion on road networks. In this work, a smart/intelligent traffic signal control system was developed for two inter-dependent intersections in Akure, Nigeria. The system developed in this work uses deep learning and computer vision techniques to estimate the density of traffic and uses this information to adaptively switch traffic signals based on the traffic density estimated. Simulation results show that in 30 minutes of simulation, 32 signal cycles can be achieved and 967 vehicles can move at these two inter-dependent intersections
Classical solution of the initial-value problem for a one-dimensional quasilinear wave equation
Authors: Korzyuk V. I. , Rudzko J. V.
Published: March 2023

For a one-dimensional mildly quasilinear wave equation given in the upper half-plane, we consider the Cauchy problem. The solution is constructed by the method of characteristics in an implicit analytical form as a solution of some integro-differential equation. The solvability of this equation, as well the smoothness of its solution, is studied. For the problem in question, the uniqueness of the solution is proved and the conditions under which its classical solution exists are established. When given data is not enough smooth a mild solution is constructed.
Structural basis of ZAP-70 activation upon phosphorylation of tyrosines 315, 319 and 493
Authors: Urban V. A. , Veresov V. G.
Published: March 2023

ZAP-70 (Zeta-chain-Associated Protein kinase 70) is a key kinase in the regulation of the adaptive immune response. Zap-70 acts by binding its SH2-domains to the T-cell-associated CD3ζ protein, thus transmitting a T-cell activation signal induced by the interaction of Major Histocompatibility Complex with T-cell Receptor. It has been established that for ZAP-70 kinase activation, the phosphorylation of Tyr315, Tyr319, and Tyr493 is required, however the mechanisms are unclear. In the present study, we use the tools of structural modeling to elucidate the ZAP-70 activation mechanisms.
Male fertility of varieties of potato whith different cytoplasma type
Authors: Voronkova E. V. , Luksha V. I. , Poliukhovich J. V. , Gukasian O. N. , Zharich V. M. , Yermishin A. P.
Published: March 2023

The predominance of varieties and parental lines having low male fertility is a characteristic feature of potatoes as a culture with asexual reproduction. The growth of the share of male sterile varieties has been recently noticed as a result of use in breeding interspecific hybrids with sterile-type cytoplasm. It leads to narrowing the genetic basis of modern potato varieties since it limits the choice of pollinators for breeding. The objectives of this research were to assess male fertility characters of 130 potato varieties from the collection of the Institute of Genetics and Cytology of the National Academy of Sciences of Belarus and identify their cytoplasm type using the set of DNA markers. The obtained results are intended for selection of pollinators for conventional breeding of potato, as well as of varieties for production of dihaploids with fertile-type cytoplasm suitable for hybrid breeding at the diploid level. It was revealed that the accessions with T- and D-type cytoplasm prevailed in the collection (46.0 and 35.4 %, respectively), the share of the accessions with W-type cytoplasm was 18.5 %. Most of the effective pollinators were selected among the varieties having T/β-type cytoplasm (44.6 %). The varieties Aksamit, Briz, Dubrava, Uladar, Alwara, Ausonia, Carlita, Fresco, Labadia, Latona, Liu, Lyra, Quarta, Satina, Sissi with this cytoplasm type were selected as most promising for our purposes according to the combination of breeding characters. The potato varieties with D/α-type cytoplasm were present in the collection under study. Approximately one third (32.6 %) was able to produce functionally fertile pollen (PFF), however the level of its fertility was as a rule low. Nevertheless, the varieties Bashkirski, Delfin, Olga and Ponto formed pollen with PFF suitable to guarantee seed production in crosses. Most of the studied varieties with W/α-, W/β-, and W/γ-type cytoplasm were male sterile. The varieties Atlant and Vesna Belaya were revealed among them that were able to produce functionally fertile pollen.
137Cs, 85Sr and 60Co sorption from model solutions of low activity liquid radioactive waste by modified oil shale
Authors: Zaruba-Venhlinskaya K. E. , Shubarava T. L. , Radkevich A. V. , Kouznetsova T. F. , Ivanets A. I.
Published: March 2023

The results of the study of cesium, strontium, cobalt radionuclides sorption from model solutions simulating liquid radioactive waste on promising sorbents based on thermally modified oil shale are presented. The dependency of texture parameters obtained from the results of nitrogen adsorption-desorption on the treatment method of oil shale and their relationship to sorption parameters such as distribution coefficient and removal efficiency was discussed. Understanding how pore characteristics affect the sorption activity of such complex systems as sorbents is important for the creation of radionuclide sorption materials with improved characteristics. The efficiency of sorption of cesium, strontium and cobalt radionuclides was rather high for sorbent samples: the distribution coefficient was about 103–104 ml/g with a removal efficiency of more than 66 %. The most effective sorbent was obtained from oil shale with a heating rate of 5 deg/min without subsequent steam treatment, which is recommended to be used for low-active radioactive waste treatment.
Experimental model of precancerous lesions of the oral mucosa
Authors: Karpuk N. A. , Rubnikovich S. P. , Medvedev M. N.
Published: March 2023

Oral mucosal cancer (OMC) is a serious public health problem. Studies were performed on 210 males of white mongrel rats weighing 180–200 g. The animals were randomly divided into 3 groups of 7 subgroups, with 10 rats in each group. The rats of the first group were included in the diet by dissolving a solution 4-NQO (carcinogen) in drinking water at a concentration of 50 mg/ml. The animals of the second group were applied by carcinogen dissolved in drinking water at a concentration of 50 mg/ml to the ОМС of the lower lip and the tongue three times a day (at 9:00, 2:00, and 7:00 pm) in combination with exposure to a 3D device with a traumatic element.

The method of experimental modeling of pre-tumor lesions of the oral mucosa was developed. It included a combined local exposure to the solution 4-NQO and the 3D device with a traumatic element on the rat lower lip OMC. It has the following advantages over the existing models: the development of hyperplasia and dysplasia of lower lip ОМС epithelium is achieved after 12 weeks in 100 % of animals, and in the comparison group – in 20 % of rats (р 

< 0.05); no carcinogen affection of other gastrointestinal organs, as indicated by no reduction of live body weight gain before the development of ОМС changes required from the experimental model (р >< 0.05); visually accessible localization of pathological epithelial changes on the lower lip ОМС, and in the comparison group on the tongue root.>
Assessment of trends in the development of peasant (farm) enterprises of the Republic of Belarus in the regional aspect
Authors: Zaprudskaya T. A. , Kaliuk V. I.
Published: March 2023

The article provides a detailed analysis of the indicators characterizing the activities of peasant (farmer) enterprises in the Republic of Belarus, assesses the effectiveness of their functioning. The dynamics of their number and availability of land resources that have developed over the 2017–2021 years has been revealed. The list number of employees and the load of agricultural land on each of them has been analyzed. The volume of agricultural production, net profit and the number of unprofitable peasant (farmer) enterprises have been estimated. Together, all this made it possible to identify areas for the development of proposals for their further development.
AS MUDANÇAS CLIMÁTICAS REFLETIDAS NO SOLO DE SANTO AMARO – BA
Authors: Lima Rafael Rodrigo Ferreira de , Jesus Giselle Teixeira de , Bulhões Iane Santos , Silva Kelly Sandra Ramos Santos , Santos Leidiane Cristina Alves
Published: March 2023

Neste capítulo são verificados os impactos causados no solo do município de Santo Amaro-BA em decorrência das mudanças climáticas e do processo de ocupação.
ESPÉCIES FRUTÍFERAS NO MEIO AMBIENTE URBANO DE SERRINHA – BA: DISPOSIÇÃO DE CULTIVO E ACEITABILIDADE DOS MUNÍCIPES
Authors: Lima Rafael Rodrigo Ferreira de , Lima Marivania Sousa , Almeida Juliana de Oliveira
Published: March 2023

Neste capítulo é abordado a capacidade de disposição dos munícipes de Serrinha-BA em cultivar árvores frutíferas em suas propriedades urbanas.
Glossário Digital e Multilíngue
Authors: Monteiro Arthur Feitosa Vieira , Costa Nívia Maria Assunção
Published: March 2023

Este glossário digital e multilíngue, concebido também como um material didático aos estudantes e professores interessados na temática, é o resultado de uma das metas da pesquisa de iniciação em desenvolvimento tecnológico e inovação (PIBITI), cujo título é GLOSSÁRIO DIGITAL E MULTILINGUE DE ENGENHARIA ELÉTRICA e que contou com o apoio do Instituto Federal de Educação, Ciência e Tecnologia de Goiás (IFG) e do Programa de Apoio à Produtividade em Pesquisa – PROAPP/IFG. A pesquisa foi coordenada pela profa. Dra. Nívia Maria Assunção Costa e teve a participação do bolsista IFG Arthur Feitosa Vieira Monteiro, graduando no curso de Bacharelado em Engenharia Elétrica do Câmpus Valparaíso de Goiás do IFG. Sabemos que este glossário tem um limite e que talvez não responda a todas as dúvidas, sobretudo porque o número de perguntas que os consulentes podem fazer a propósito de textos que socialmente interagem é considerável. Além do mais, este material didático, com 500 termos técnicos, trata-se de um glossário construído a partir de uma amostra de 21 palavras-chave e da análise documental das ementas das seguintes disciplinas do curso de Bacharelado em Engenharia Elétrica do Câmpus Valparaíso de Goiás do IFG: Materiais Elétricos, Circuitos Elétricos I, Eletrônica Analógica I, Eletrônica Digital I, Conversão de Energia Elétrica, Circuitos Elétricos II e Instalações Elétricas I.
Trânsitos plurais na formação do PET Letras
Authors: Espindola Bianca Araujo , Souza Karoline Gasque de , Silva Maria Solange Barbosa da , Marins Ida Maria Morales , Barbosa Bruna Beatriz Biasoli , Lima Kéven Costa de , Martins Lucas , Macedo Maria Ingrid de , Olanda Icaro Cesar Cainan da Cunha Claro , Fernandes Mariana Cavallari , Arias Lucas da Silva , Nunes Geice Peres
Published: March 2023

Este livro é apresentado aos seus leitores como uma amostra de estudos desenvolvidos no âmbito do Programa de Educação Tutorial em Letras (PET Letras) da Universidade Federal do Pampa, campus Jaguarão, em projetos executados no Planejamento Anual do grupo de 2017 a 2021.
Os artigos que compõem essa publicação evidenciam os vínculos do PET Letras com as áreas de formação de uma licenciatura em Letras, seja voltando-se para a língua espanhola ou para a língua portuguesa, habilitações cursadas pelos petianos da UNIPAMPA - Jaguarão. Os trabalhos oriundos de ações de ensino, pesquisa e extensão, na articulação de teoria e prática, mostram a consciência da caminhada ininterrupta para a formação profissional.
O estágio como experiência vivencial no trabalho com língua e literatura
Authors: Marins Ida Maria Morales , Barbosa Bruna Beatriz Biasoli
Published: March 2023

O objetivo deste texto é o de relatar uma prática de ensino em estágio supervisionado e realizar o exercício da reflexão sobre a possibilidade e necessidade de integrar, ao longo da educação básica, o ensino da língua portuguesa, como língua materna e o da literatura. A Base Nacional Comum Curricular do Ensino Fundamental (2017) (doravante BNCC) apresenta, em sua organização, o ensino da literatura articulado ao da língua portuguesa, ou seja, a literatura compõe um dos eixos das aprendizagens previstas na disciplina de língua portuguesa, o chamado eixo da Educação Literária. A orientação é a de que a escola promova a leitura do texto literário com fins a desenvolver a formação do leitor sem preocupar-se em “ensinar literatura”. Os outros eixos: Oralidade, Escrita, Leitura, Conhecimentos linguísticos e gramaticais são apresentados destacando que o objeto central do trabalho com a língua é o texto em sua multimodalidade.
Literatura na Educação Tutorial: saberes construídos a partir de mundos ficcionais compartilhados
Authors: Nunes Geice Peres
Published: March 2023

O Programa de Educação Tutorial vinculado aos cursos de Letras da UNIPAMPA/Jaguarão se caracteriza pelo contínuo aprimoramento dos alunos que dele participam. O trabalho é construído pela tríade ensino, pesquisa e extensão aplicadas em áreas como a literatura, a linguística e as línguas portuguesa e espanhola, com as reflexões teóricas, críticas e pedagógicas que estas exigem. Com base nesses propósitos, a tutoria e a prática petiana se constroem na articulação com as licenciaturas e seus Projetos Pedagógicos de Curso (PPC); nas orientações normativas do PET (Portaria do MEC nº 976, de 27 de julho de 2010); bem como nas exigências de realização de ensino, pesquisa e extensão na formação universitária.
ANÁLISIS COMPARATIVO DE TRANSFERENCIAS CONDICIONADAS PARA MUJERES ENTRE ECUADOR Y CHILE EN EL AÑO 2020 BONO DE DESARROLLO HUMANO Y BONO AL TRABAJO DE LA MUJER
Authors: Pérez Gualpa Anabel Azucena
Published: March 2023

La presente investigación tuvo por finalidad presentar un análisis comparativo entre dos iniciativas públicas de protección social, una el Bono de Desarrollo Humano en el Cantón Ambato de Ecuador y el Bono al Trabajo de la Mujer en la comuna de Concepción de Chile considerando el enfoque de género. La problemática identificada se enfoca en la ausencia de estudios de evaluación de transferencias monetarias condicionadas, que permitan determinar en qué forma mejoraron la calidad de vida de las mujeres beneficiarias en el Cantón Ambato y en la Comuna de Concepción. El marco metodológico tiene una orientación cualitativa porque busca comprender desde la perspectiva de las personas y el enfoque de género, las experiencias y vivencias. Se seleccionó una muestra desde la base de datos de instituciones encargada de la gestión de ambos bonos y se recolectó información a través de entrevistas semiestructuradas a mujeres beneficiarias y funcionarios/as vinculados/as a la ejecución de ambos programas. Los resultados preliminares dan cuenta de diferencias en el uso y cobertura de las transferencias monetarias condicionadas que se otorgan a las mujeres y sus familias. En el caso de Ecuador cubren algunos gastos de educación, salud y servicios públicos domiciliarios; en cambio en Chile, los beneficios no son suficientes para cubrir los gastos de servicios educacionales, de salud y una vivienda básica, pues los bonos sirven para subsistir y las mujeres, habitualmente, los utilizan para pagar gastos básicos como agua, luz y calefacción.
PENENTUAN HARGA POKOK BERDASARKAN STANDAR GORONG-GORONG PADA PERUSAHAAN BETON BUS DAN GORONG-GORONG “TRI JAYA”
Authors: Efendi David , Kusuma Emeralda Ayu , Budirihardjo Ikhsan , Djawoto Djawoto , Juraidi Achmad
Published: March 2023

Perusahaan “Tri Jaya” merupakan salah satu UMKM yang memproduksi beton bus dan gorong-gorong. Dalam aktivitasnya tersebut UMKM ini menghadapi persaingan cukup ketat. Kebertahanan hidup dalam persaingan diperlukan pengingkatan kinerja dengan mengendalikan biaya dan menentukan harga pokok standar yang belum dilakukan oleh UMKM ini. Pengabdian ini bertujuan membantu mitra menentukan harga pokok berdasarkan standar. Dikarenakan mitra selama ini dalam aktivitas bisnisnya hanya mengikuti pasar sehingga dalam penetapan harga jualpun mengikuti pasar. Sehingga mitra tidak dapat bersaing dengan pelaku bisnis sejenis. Hal tersebut menjadikan mitra berjauhan dengan penggunaan informasi akuntansi khususnya terkait demgan biaya pembuatan gorong-gorong. Metode pelaksanaan pengabdian menggunakan wawancara, observasi dan penghitungan harga pokok berdasarkan standar. Mengingat masih adanya pandemic Covid-19 saat dilaksanakan pengabdian maka untuk  wawancara dan observasi dilakukan oleh ketua pelaksanaan. Hasil wawancara dan observasi didiskusikan dengan tim pengabdian untuk menyelesaikan permasalahan mitra. Hasil pengabdian memberikan hasil yang berupa standar penggunaan bahan yang meliputi: semen, pasir dan koral. Dengan demikian dapat ditetapkan harga pokok berdasarkan standar untuk gorong-gorong berdiameter sebagai berikut:20cm=Rp15.050;30cm=23.100;40cm=Rp32.150; 50cm=Rp24.400; 60cm=32.150; 80cm=Rp42.200

Kata Kunci:  Harga pokok berdasarkan standar, biaya standar, Persaingan
Use of a Low-calorie Flavored Gel to Facilitate Oral Self-administration of Analgesics in Mice
Authors: Riddell Dayna L , Hyndman Timothy H , Bowden Ross S , Musk Gabrielle C
Published: March 2023

The goals of this study were to determine whether mice would adapt to a low-calorie flavored water gel as their sole source of hydration and whether the addition of acetaminophen, tramadol, meloxicam, or buprenorphine to the gel would affect their intake. Water and gel intakes were
measured during a 4-phase study, each of which lasted 1 wk: phase 1, standard water bottle only; phase 2, standard water bottle and a separate tube containing water gel; phase 3, water gel only; and phase 4, water gel containing an analgesic drug. Water consumption, corrected for body mass,
was not different between male and female mice when water was available (phases 1 and 2). However, the total consumption of water and water gel was higher for females than males during phase 2, and female mice consumed more gel than males during phase 3. When male and female data were combined,
total corrected water intake was not different among the first 3 phases of the study. Gel intake did not change significantly after the addition of acetaminophen, meloxicam, buprenorphine or tramadol as compared with untreated water gel. These data suggest that drugs presented in the low-calorie
flavored water gel may be a viable alternative to injection or gavage for the administration of analgesic drugs.
Construction Tradespeople Perception of the Factors Motivating Labour Productivity on Construction Projects
Authors:   Federal University of Technology, Eze Chidiebere Emmanuel , Nwaki William Nkeonyeasua ,   Delta State Polytechnic, Obonadhuze Bernard Inibuh ,   Delta State Polytechnic
Published: March 2023

Construction productivity defines the wealth of a nation as well as the well-being of its citizenry, because it plays a critical rolein the overall economic development of a nation. However, there has been a reported decline in labour productivity which has led to poor delivery of construction projects. This issue has been among the leadingcauses of schedule and cost overruns, quality issues, claims and conflicts, especially in key capital construction projects globally.Poor labour productivity is attributed to the reaction of workers on certain factors. The purpose of this study is to assess construction tradespeople perception of the factors motivating labour productivity on construction projects. To achieve this purpose, semi-structured interview and questionnaire, and a stratified purposeful sampling technique was adopted to gather data from construction tradespeople in Port Harcourt, Nigeria. Datagathered through survey from106construction tradespeople, were analysed using frequencies, percentage and factor analysis.The data gathered from 25 interviewees were analysed using thematic analysis. The study concluded that major factors motivating construction tradespeople productivity on construction projects are knowledge and salary-related factors; job security and planning related factors; health, safety and promotion related factor;overtime and work area condition; team building and equipment factors; supervision and recognition factors; management and teamwork factors; and materials and work methods.Furthermore, the implication of the role of financial and non-financial motivatorsis brought to the fore in ensuring improved and sustainable labour productivity on construction projects.The study recommended that construction organisations should utilise a good mix of financial and non-financial productivity motivators in getting thebest out of their employees, especially the site operatives.
PRIVATE RV (ROOFTOP TENT) CAMPING IN SOUTHERN THAILAND
Authors:   Prince of Songkla University, Faculty of Environmental Management, Hat Yai, Songkhla province, Thailand, MUNEENAM Umaporn , SUWANNATTACHOTE Pongbaworn ,   Prince of Songkla University, Faculty of Environmental Management, Hat Yai, Songkhla province, Thailand
Published: March 2023

Recreational Vehicles (RVs) with rooftop tent for camping have become popular in Thailand from about 2016 on, prior to the COVID-19 pandemic. However, no proper outdoor hospitality parks (OHPs) were available for these campers. This study aimed to investigate RV (rooftop tent) camping focusing on private properties in the context of southern Thailand, because there has been less such camping in this area than in other areas of Thailand. The representatives of 11 private OHPs from 11 provinces, of the totally 14 provinces in southern Thailand, were initially selected by purposive sampling. Data were collected by survey, observation, digital photography, pilot study, and interviews with 11 representatives of the OHP operators. The data were subjected to descriptive analysis and triangulated with other outcomes. It was found that suitable RV (rooftop tent) camping parks varied from small to large in the following order: Songkhla, Phanggna, Trang, Phatthalung, Satun, Chumporn, Suratthani, Ranong, Krabi, Nakhon Si Thammarat, and Phuket provinces. Likewise, the suitable time for camping in the shade (not in direct sunlight) was from 04.00 p.m. to 10.00 a.m.
THE EFFECT OF PERCEIVED STRESS OF HEALTH CARE PROFESSIONALS ON SERVANT LEADERSHIP BEHAVIORS IN THE COVID-19 PERIOD: NMRT EXAMPLE
Authors: Çağatay Altuğ , Topal Ali , Arslan Ümit
Published: March 2023

Aim: The research aims to determine the effect of servant leadership behaviors on the perceived stress levels of healthcare professionals during the COVID 19 pandemic.
Method: The population of the study is 1107 health employees (NMRT - National Medical Rescue Team) in Ankara region. The sample consists of 215 people. Pearson correlation analysis was applied in the study. Simple linear regression test was implemented for the relation level of the sub-dimensions. In the correlation analysis, a medium strong positive correlation was determined between the dependent and independent variables.
Results: In regression analysis for perceived stress sub-dimensions and servant leadership sub-dimensions, strengthening, courage, trust, and realism dimensions (b = 0.27, p 0.05).
Conclusion: It can be stated that there is a moderate positive correlation between the dimensions of strengthening, courage, trust, and realism. The model established for the correlation between the stress / discomfort perception dimension and the inadequate self-efficacy perception dimension, and the servant leadership dimensions was determined as significant. When health workers (NMRT) exhibit servant leadership behaviors, their stress perception levels decrease.
Addressing Bias in News with Advanced Machine Learning Techniques
Authors: Aladeen Haffaz
Published: March 2023

The pervasive nature of bias in news is a complex problem that has proven difficult to address. Traditional methods for identifying and mitigating bias have relied on human editors and fact-checkers, which are time-consuming and subject to their own biases. In contrast, machine learning algorithms can process vast amounts of data quickly and objectively, making them a promising solution for tackling this issue. Our proposed framework leverages several advanced machine learning techniques to detect and correct bias in news articles. Firstly, we preprocess the news articles using natural language processing techniques, such as tokenization and lemmatization, to transform the raw text into a format that can be fed into a neural network. We then train the network using a combination of supervised and unsupervised learning methods, incorporating attention mechanisms to improve the model’s ability to identify relevant features in the text. Additionally, we use adversarial training to enhance the model’s robustness and ability to handle complex, realworld scenarios. To evaluate the effectiveness of our framework, we conduct extensive experiments on a large-scale dataset of news articles. Our results show that our approach outperforms traditional methods in detecting and correcting bias, achieving significant improvements in accuracy and precision. Furthermore, our framework can be customized to target specific types of bias, such as political or racial bias, by adjusting the training data and neural network architecture. In conclusion, our proposed framework demonstrates the potential of advanced machine learning techniques to address bias in news and promote more objective reporting. Future research in this area could explore the application of our framework to other domains, such as social media and online forums, where bias is also prevalent. Additionally, further investigation is needed to ensure that the use of machine learning for bias detection and correction is transparent, ethical, and equitable.
Experiment ended
Authors: Evans Isabelle
Published: March 2023

Impact of International Student Mobility on Science
BMF CP25: The effects of legal knowledge and culture on Vietnamese husband dominance in decision-making
Authors: Nguyen Minh_Hieu Thi
Published: March 2023

We found that the amount of acquired legal knowledge is not associated with the gender inequality perception that the husband definitely has the right to make a decision. At the same time, the wife must obey her husband. However, it is positively associated with perceptions of husband dominance in economic, reproduction, and socialization decisions. Moreover, the gender inequality perception is also positively associated with perceptions of husband dominance in economic, reproduction, and socialization decisions.
Experiment ended
Authors: Evans Isabelle
Published: March 2023

Need for Reform in PhD Training A Guide
Experiment ended
Authors: Evans Isabelle
Published: March 2023

PhD and reforms in education
Breaking News: Machine Learning Helps to Spot Fake News Before it Spreads
Authors: Aladeen Haffaz
Published: March 2023

The spread of fake news has become a major concern in today’s society, as it can have serious consequences for individuals, organizations, and even governments. In this paper, we propose a machine learning approach to automatically detect fake news before it spreads. Our approach is based on the premise that fake news articles differ from real news articles in their use of language and the types of sources they cite. Therefore, we employ natural language processing techniques and machine learning algorithms to identify features that distinguish fake news from real news. We first preprocess the news articles by cleaning the text and extracting features such as the length of the article, the number of unique words, and the frequency of certain words. We then use these features as inputs to various machine learning algorithms, including support vector machines, logistic regression, and random forests. To evaluate our approach, we use a large dataset of news articles that have been labeled as either real or fake by human annotators. We compare the performance of our approach to several baseline methods for fake news detection, including a simple keyword-based approach and a rule-based approach. Our experimental results show that our approach outperforms all of the baseline methods, achieving an accuracy of over 90% in identifying fake news articles.We also analyze the features that are most predictive of fake news and find that they include the use of emotionally charged language, the citation of unreliable sources, and the inclusion of false or misleading information. Our results demonstrate the potential of machine learning to help combat the spread of fake news and promote the dissemination of accurate information. By detecting fake news before it has a chance to spread, we can prevent the harm that it can cause to individuals, organizations, and society as a whole. Our approach can be applied to a wide range of domains and can be integrated into existing news monitoring systems to provide real-time detection of fake news articles.
Experiment ended
Authors: Evans Isabelle
Published: March 2023

Need for Reform in PhD Training A Critical Discuss
Differential expression of ADH1B in colorectal cancer.
Authors: Mamoor Shahan
Published: March 2023

Cancer is a leading cause of death and colorectal cancer is among the most lethal cancers (1, 2). We mined published microarray datasets (3, 4) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with colorectal cancer (CRC). We found significant differential expression of the gene encoding alcohol dehydrogenase 1B (class I), beta polypeptide, ADH1B, when comparing colorectal tumors to the tissue of origin, the colon. ADH1B mRNA was present at significantly lower quantities in tumors of the colon as compared to normal colorectal tissue. ADH1B expression changes may be important for the initiation or progression of human CRC.
Differential expression of S100A11 in colorectal cancer.
Authors: Mamoor Shahan
Published: March 2023

Cancer is a leading cause of death and colorectal cancer is among the most lethal cancers (1, 2). We mined published and public microarray datasets (3, 4) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with colorectal cancer (CRC). We found significant differential expression of the gene encoding S100 calcium-binding protein A11, S100A11, when comparing colorectal tumors to the tissue of origin, the colon. S100A11 mRNA was present at significantly higher quantities in tumors of the colon as compared to normal colorectal tissue. Analysis of human survival data revealed that expression of S100A11 in rectal tumors was correlated with overall survival in patients with rectal cancer. S100A11 expression changes may be important for the initiation or progression of human CRC.
Experiment ended
Authors: Evans Isabelle
Published: March 2023

Impact of Open Access Publishing on Low- and Middle-Income Country
Experiment ended
Authors: Evans Isabelle
Published: March 2023

Open Access Publishing Deal for Low- and Middle-Income House
Experiment ended
Authors: Evans Isabelle
Published: March 2023

Investing In International Students Maximizing Knowledge
A Practical Guide for Generating Reproducible and Programmatic Neuroimaging Visualizations
Authors: Chopra Sidhant , Labache Loïc , Dhamala Elvisha , Orchard Edwina R , Holmes Avram J
Published: March 2023

Neuroimaging visualizations form the centerpiece of the interpretation and communication of scientific results, and are also a cornerstone for data quality control. Often, these images and figures are produced by manually changing settings on Graphical User Interfaces (GUIs). There now exist many well-documented code-based brain visualization tools that allow users to programmatically generate publication-ready figures directly within R, Python and MATLAB environments. Here, we provide a rationale for the wide-spread adoption of code-generated brain visualizations by highlighting corresponding advantages in replicability, flexibility, and integration over GUI based tools. We then provide a practical guide outlining the steps required to generate these code-based brain visualizations. We also present a comprehensive table of tools currently available for programmatic brain visualizations (https://sidchop.shinyapps.io/braincode_selector/) and provide didactic examples of visualizations and associated code as a point of reference. Finally, we provide a web-app (https://sidchop.shinyapps.io/braincode/) which can generate simple code-templates as starting points for these visualizations.
Differential expression of CA4 in colorectal cancer.
Authors: Mamoor Shahan
Published: March 2023

Cancer is a leading cause of death and colorectal cancer is among the most lethal cancers (1, 2). We mined public microarray datasets (3, 4) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with colorectal cancer (CRC). We found significant differential expression of the gene encoding carbonic anhydrase 4, CA4, when comparing colorectal tumors to the tissue of origin, the colon. CA4 mRNA was present at significantly lower quantities in tumors of the colon as compared to normal colorectal tissue. Analysis of human survival data revealed that expression of CA4 in rectal tumors was correlated with overall survival in patients with rectal cancer with high mutational burden. CA4 expression changes may be important for the initiation or progression of human CRC.
Experiment ended
Authors: Evans Isabelle
Published: March 2023

Impact of Open Access Publishing on Low income families
Experiment ended
Authors: Evans Isabelle
Published: March 2023

Open Access Publishing Deal for Low- and Middle-Income Countries A Path to Affordable Science
Differential expression of CXCL12 in colorectal cancer.
Authors: Mamoor Shahan
Published: March 2023

Cancer is a leading cause of death and colorectal cancer is among the most lethal cancers (1, 2). We mined published microarray datasets (3, 4) to determine in an unbiased fashion and at the level of the transcriptome genes most differentially expressed in the primary tumors of patients with colorectal cancer (CRC). We found significant differential expression of the gene encoding C-X-C motif chemokine ligand 12, CXCL12, when comparing colorectal tumors to the tissue of origin, the colon. CXCL12 mRNA was present at significantly lower quantities in tumors of the colon as compared to normal colorectal tissue. Analysis of human survival data revealed that expression of CXCL12 in rectal tumors was correlated with overall survival in patients with rectal cancer whose tumors are relatively enriched with B lymphocytes. CXCL12 expression changes may be important for the initiation or progression of human CRC.
Orchestrating Numeracy and The Executive: The One Programme
Authors: Scerif Gaia , Gattas Sylvia , Hawes Zachary , Howard Steven , Merkley Rebecca , O'Connor Rosie
Published: March 2023

The current study focused on the collaboration between cognitive scientists and educators to co-develop and progressively refine the Orchestrating Numeracy and The Executive (“The ONE”) Programme, an evidence-based integrated Executive Functions and Mathematics intervention composed of professional development and play-based activities. This iterative process resulted in high ratings of acceptability and feasibility, as well as acceptable adherence and fidelity across settings, combined with knowledge gains for early years practitioners and preliminary evidence of improved early numeracy, in particular for disadvantaged children. At the same time, the study highlighted general and specific barriers to intervention implementation in early years settings, and multiple possible steps for future refinement. Given the initial preliminary evidence, the intervention is being further evaluated in a larger scale trial funded by the Education Endowment Foundation and The Stronger Practice Hubs.
The syntactic origins of number-reading difficulties: a descriptive analysis of readers with and without dysnumeria
Authors: Handelsman Noa , Dotan Dror
Published: March 2023

Dysnumeria, a learning disorder that disrupts number reading and writing, hinders numerical literacy and thus disturbs everyday life. However, little is known about its prevalence or its origins. Here, we provide data on the number-reading performance of typical readers (n=175) and readers with dysnumeria (n=54), who read aloud 120 multi-digit numbers. The typical readers made 6.5% errors on average, and 5%-9% of them turned out to actually have dysnumeria – similar to the reported prevalence of dyslexia and dyscalculia. We also analyzed the types of reading errors they made, which can be traced back to specific number-reading processes. Both typical readers and those with dysnumeria exhibited a high rate of syntactic errors, indicating that the main challenge in reading numbers is the need to handle the number’s syntactic structure.
Identification of affective and social reinforcement functions of driven exercise: Evidence from three samples
Authors: Kolar David R. , Haynos Ann Frances , Wang Shirley B , Lask Theresa , Murray Stuart B , Voderholzer Ulrich , Gorrell Sasha
Published: March 2023

Driven exercise is a transdiagnostic maladaptive behavior, especially common in eating disorders (ED); however, its maintenance mechanisms remain poorly understood. To address this gap, we examined the applicability of previously empirically-derived and validated reinforcement function models in explaining driven exercise maintenance in studies varying across developmental stages and clinical presentations (Study 1: N=279 adolescents/adults oversampled for EDs; Study 2: N=118 adolescent/adult inpatients with severe EDs; Study 3: N=52 adults oversampled for athletes and/or EDs). Results supported the utility of a four-function model (automatic positive/negative reinforcement [APR/ANR; increase/decrease negative affect], social positive/negative reinforcement [SPR/SNR; engage in/avoid interpersonal situations]) in explaining driven exercise. APR was most frequently endorsed, followed by ANR, SNR, and SPR in all studies. APR correlated with last-month driven exercise episodes across studies; associations between other functions and ED psychopathology varied between studies. Further, results suggested a separate control function could be considered in samples with more severe EDs.
Individuals with anxiety and depression use atypical decision strategies in an uncertain world
Authors: Fang Zeming , Zhao Meihua , Xu Tina , Li Yuhang , Xie Hanbo , Peng Quan , Geng Haiyang , ZHANG RU-YUAN
Published: March 2023

Previous studies have identified that enhanced learning rate is a key mechanism for adapting to fast-changing reward environments with high volatility, and that impairments in flexible learning rate may be associated with several psychiatric conditions. However, these studies have mostly assumed a single strategy manifested in the human probabilistic learning process. In contrast, we propose an alternative perspective and develop a hybrid mixture-of-strategy (MOS) model that incorporates three strategies: the expected utility strategy, which aims to maximize rewards; the magnitude-oriented strategy, which only considers reward magnitude; and the habitual strategy, which tends to repeat previous decisions. While the expected utility strategy is statistically optimal, the magnitude-oriented and habitual strategies are suboptimal but computationally simpler. In an open dataset where healthy controls and patients with anxiety and depression performed a probabilistic reversal learning task with distinct volatility conditions, our MOS model outperforms previous best-fitting models. Parameter analyses suggest that individuals with anxiety and depression exhibit weaker preferences for the optimal expected utility strategy but stronger preferences for the magnitude-oriented heuristic. The relative strength of these two strategies also predicts individual variation in symptom severity. Importantly, our MOS model explains the slower learning in patients by the different weighting of the different strategies rather than learning rate per se. These findings underscore the complexity of human learning and decision-making and suggest the possibility of mixed strategies in learning and decision-making. Further research is necessary to distinguish the flexible-learning-rate account from the mixture-of-strategy account.