bluuebunny/crossref_metadata_2025 huggingface dataset:
Exposição e proteção através da alimentação
Authors: Santos Moniky Rayanne Silva dos , Farias Marcela Poenna de Sousa
Published: August 2023

Neste capítulo, vamos apresentar alguns aspectos relacionados à alimentação, e como o consumo de peixes e frutas relacionam-se com a exposição ao mercúrio.
O capítulo apresenta os peixes que estão mais contaminados com mercúrio, especialmente os carnívoros. No entanto, é importante ressaltar que a contaminação pode variar de acordo com a localização geográfica do pescado, e nem todos
os peixes estarão necessariamente contaminados.
O risco de exposição ao mercúrio para a população está relacionado à quantidade de peixes consumidos por refeição, bem como à frequência e às espécies de peixes. Mesmo os peixes que não estão no topo da cadeia alimentar podem resultar em níveis indesejados de MeHg no organismo, dependendo da quantidade consumida. Sendo fundamental destacar que a população não deve interromper o consumo de peixes em momento algum. É possível alternar o consumo entre espécies de peixes, incluindo tanto os de topo de cadeia quanto os que não estão no topo da cadeia alimentar.
Dados epidemiológicos da região
Authors: Mota Amanda Luyta Monteiro da , Sobral Janaira Cardoso , Farias Marcela Poenna de Sousa , Monteiro Nicole de Sousa
Published: August 2023

Neste capítulo, apresentaremos dados epidemiológicos sobre a exposição ao mercúrio baseados em pesquisas científicas
realizadas na região do Baixo Amazonas, que inclui o Baixo Tapajós e o Rio Amazonas.
Neste capítulo, foi abordado que as mulheres em idade fértil e crianças estão mais vulneráveis a exposição mercurial, essas mulheres por estarem colocando em risco a saúde do feto e crianças por não estarem com seus sistemas completamente maturos. Sabendo disso, é essencial fortalecer as estratégias de prevenção, diversificando a alimentação como apresentado no decorrer do texto. Destacando também que outro grupo vulnerável, são as populações que vivem às margens dos rios e estão mais expostas e vulneráveis ao mercúrio. Essas populações (indígenas e ribeirinhas) utilizam do pescado como fonte de renda e principal fonte de proteína. Porém no tecido do peixe está presente o metilmercúrio, o que as torna mais vulneráveis à exposição devido a ingestão diária dessa proteína.
Dessa forma, o capítulo aborda quais os grupos de indivíduos
são mais vulneráveis a exposição mercurial e quais as localidades de maior exposição do contexto amazônico do Oeste do Pará.
Sunflower Diseases and Downy Mildew (Plasmopara halstedii) in Adana
Authors: Hale Gunacti
Published: August 2023

Sunflower (Helianthus annuus L.) is one of the most important vegetable oil sources in the world and in our country. The preference for sunflower oil in the consumption of vegetable oil increases the importance of sunflowers in our country. Rust, downy mildew, Verticillium wilt, Sclerotinia stalk and head rot, charcoal rot, blight, and leaf spot are some of the important diseases most commonly seen in sunflowers. In some years, depending on the climatic conditions, Downy mildew (Plasmopara halstedii) is widely observed and it causes an epidemic in sunflower-planted areas in the Adana province. Genetically resistant hybrids have started to be grown in Turkey in recent years due to the resistance of downy mildew disease to fungicides. The aim of the study was to determine the status of sunflower diseases and Downy Mildew disease in Adana.
The effects of being infected with COVID-19 in smokers on their smoking habits
Authors: DURMAZ Adem , YILMAZ Muammer
Published: August 2023

Aim: It is aimed to investigate the attitude and behaviour changes in the smoking habit of those who had COVID-19 while smoking.
Materials and Methods: This descriptive cross-sectional study was conducted with 312 active smokers with Coranavirus disease (COVID-19) between October and November 2021.
Results: It was determined that 38.6% (n=81) of those who had COVID-19 while smoking reduced smoking, 2.4% (n=5) quit smoking, and 9.5% (n=20) quit for a while and then restarted. It was determined that individuals over the age of 45 who had COVID-19 while smoking (p=0.011) and those who received 1-5 years of education compared to those with education of 6-12 years and 13 years or more (p:0.012; p:0.010 respectively) developed more desire to quit smoking.
Conclusion: Public service ads on the health hazards of smoking and the need to quit smoking could have been shared more actively during the pandemic. Also, smoking cessation treatments such as counselling, nicotine patches and medication could have been offered more widely. This COVID-19 Pandemic period, which is an opportunity to quit smoking, unfortunately could not be fully utilized and positive results could not be obtained in this habit.
Comparison of the effectiveness of spinal stabilization exercises and chiropractic spinal manipulation in healthy individuals: Randomized controlled trial
Authors: ARSLAN Mesut , YILMAZ Figen
Published: August 2023

Aim: The aim was to investigate the effects of exercise, manipulation and its combined application on endurance, muscle strength, joint position sense and balance.
Materials and Methods: Eighty healthy people aged 18-45 years were included in the study. Individuals were divided into chiropractic manipulation, stabilization exercises, combined application and control group. Participants were evaluated with endurance, muscle strength, joint position sense and balance tests before, after and 1 month after the application.
Results: After the application, significant improvement was observed in the endurance parameters in Group 3 compared to the other groups. There was a significant increase in quadriceps muscle strength in all groups compared to Group 4.
Conclusion: The combined program may be more effective than other programs in improving muscular endurance and balance. All training programs are effective in improving quadriceps muscle strength, but do not have the same effect on knee joint position sense.
Evaluation of iron prophylaxis in children aged 4-24 months
Authors: KILIÇ Fedli Emre , KÜÇÜKKELEPÇE Osman , TANRIVERDİ Hüseyin , ÖZ Erdoğan , ALMIŞ Habip
Published: August 2023

Aim: The aim of this study is to assess the current status of the national iron supplementation program and the utilization of iron prophylaxis in the society, taking into account factors such as education, socioeconomic status, and the recommendations provided by healthcare professionals.
Materials and Methods: A total of 540 patients Children aged 4-24 months admitted to the Pediatrics Outpatient Clinic were evaluated and a total of 540 patients were surveyed. The children were asked whether they used or not regular iron prophylaxis between 4 and 12 months. The data were analyzed using the SPSS 22 software package program
Results: In our study, it was found that 50.8% of children did not use iron prophylaxis or used it irregularly. The most common side effects reported were constipation, diarrhea, and vomiting. Significantly higher rates of supplement use were observed among children with parents who had higher education and income levels. (Mother's education; p=0.026, father's education; p<0.001, income level; p=0.015)
Conclusion: The fact that more than half of the participants in the study did not use iron supplementation or used it irregularly highlights the inadequate access to adequate iron prophylaxis for children. Healthcare professionals should allocate time to families and provide information about iron supplementation.
Modeling and simulation of a small-scale hybrid energy system using genetic algorithm for Yolan-Bayara Village, Bauchi State
Authors: Chidinma Clementina Igweze  , Yau Shuibu Haruna  , Abdulkadir Abubakar Sadiq  , Saeed Musa Yarima
Published: August 2023

To mitigate the downsides of conventional energy generation systems, such as contaminants in the air and the release of greenhouse gases that contribute to environmental degradation, hybrid energy systems (HES) are absolutely essential for revitalizing areas that are rural or remote to obtain favorable technical and economic benefits. It is very difficult to establish a hybrid energy system's ideal size while still trying to meet the reliability requirements and consumer demands for electricity for powering their homes, schools, hospital, and businesses. Using a Genetic Algorithm (GA) optimization approach, this abstract describes a study on the modeling and simulation of a small-scale hybrid system that integrates renewable energy sources with energy storage for Yolan-Bayara village Bauchi state. Photovoltaic (PV) panels, wind turbines, and a battery storage system make up the system. The battery storage system enables energy storage and retrieval when necessary, while the PV panels and wind turbines generate sporadic electricity. A mathematical model is created that includes several system parameters, such as environmental factors, and energy demand profiles in order to arrive at the best sizing approach. However, conventional optimization approaches may have trouble locating the overall optimal solution due to the complexity of the system and the uncertainty surrounding renewable energy sources. A Genetic Algorithm is used to solve this problem. To ensure effective energy use and low operating costs, the GA successfully adjusts the control settings to changing environmental circumstances and energy demand profiles. The outcomes show how GA-based optimization methods can improve the functionality and financial viability of small-scale hybrid systems. Such technologies could be extremely important for promoting green energy options and reducing climate change.
IDENTIFYING THE DEPENDENCIES BETWEEN IT PROJECT CONTEXT AND BUSINESS ANALYSIS DOCUMENT CONTENT
Authors: Gobov Denys , Zuieva Oleksandra
Published: August 2023

The subject matter of the article is software requirements documentation practices in IT projects. The goal of the work is to identify what information is included in business analysis deliverables and how the project context influences the content of business analysis documents. The following tasks were solved in the article: to examine the industrial standards and experience of business analysts and requirements engineers in requirements specification and modeling activities in software development, to create and conduct a survey on practices in requirement documentation activities in IT projects, to define practitioners’ preferences regarding business analysis documents’ content, and to define how project context influences document content. The following methods are used: three hundred and twenty-four practitioners from Ukrainian companies were surveyed about their current preferences in business analysis document creation, their experience, and project profile attributes in which techniques were used. The Chi-Square test of independence and Cramer’s V effect size measure were applied to define statistically significant dependencies between project context and business analysis document content. The following results were obtained: a list of the most commonly used elements in business analysis documents was defined. Seventy-eight statistically significant associations for pairs "project context – business analysis document content" were found based on the p-value of the Chi-Square test, for eighteen of which the significance of the identified dependencies was confirmed using the Cramer’s V effect size measure. Conclusions: It is concluded that project context influences the content of business analysis documents in IT projects. The most influential factors are the business analyst’s experience, team distribution, company size and type, template usage, and the purpose of using the requirements documents. The found dependencies can guide the selection of business analysis document structure and the creation of project-specific templates during the creation business analysis approach and business analysis information management approach.
METHODS AND ALGORITHMS FOR ASSESSING THE DIGITAL INFRASTRUCTURE OF HIGHER EDUCATION INSTITUTIONS
Authors: Leha Yevheniia , Liashenko Serhii
Published: August 2023

In the modern world, the use of digital technologies in the educational process is becoming increasingly relevant. In this regard, the assessment of the digital infrastructure of higher education institutions is extremely important. To do this, it is necessary to use appropriate methods and algorithms to assess the quality of the digital infrastructure and the effectiveness of its use in the educational process. In order to improve the quality of education and ensure maximum accessibility to digital infrastructure, it is important to evaluate its effectiveness and quality. The subject of research in the article is the methods and algorithms for assessing the digital infrastructure of higher education institutions. The aim of the work is to analyze the methods for assessing the digital infrastructure of higher education institutions and creating a universal approach for higher education based on the analyzed examples. The following tasks are solved in the article: analysis of scientific sources on methods and algorithms for assessing the level of digital infrastructure, determining the main methods used for similar tasks in Ukraine and the world, determining existing assessment criteria and indicators, developing unified criteria that take into account the specifics of each institution of higher education, developing a method assessments according to these criteria and selection of methods for assessing certain criteria, development of an algorithm for evaluating criteria and obtaining an overall assessment, analysis of the results obtained. To achieve the goals and solve the tasks set were used following methods: methods of scientific analysis, methods of analysis of hierarchies and expert assessments. The main conclusions of the article are the development of a universal method and algorithm for assessing the digital infrastructure of higher education institutions, which will effectively and more objectively determine the level of development of digital infrastructure in higher education institutions and compare different institutions. Conclusions: The application of the method will help in comparing higher education institutions, taking into account the specifics of each of them, and will provide a more objective assessment of the digital infrastructure in the institution.
RESEARCH OF METHODS OF SOFTWARE IMPLEMENTATION OF THE COSMOS DB API ON THE .NET PLATFORM
Authors: Mazurova Oksana , Andrushchenko Mykola , Shirokopetleva Mariya
Published: August 2023

Large number of developers use the .NET platform to create applications that work with databases today. In turn, Cosmos DB is becoming an increasingly popular choice as a NoSQL storage for such databases. Cosmos DB is a flexible and scalable system, and the correct selection of the appropriate API during software implementation can significantly affect the performance of the programs themselves. Cosmos DB provides different APIs for working with different types of databases, such as SQL databases, running MongoDB or Cassandra. In turn, each of these APIs can be used using various methods of software implementation. The subject of research is software implementations on the .NET platform for various Cosmos DB APIs. When choosing the most suitable Cosmos DB API on the .NET platform, developers can be helped not only by the documentation, but also by the results of experimental studies of these APIs, which in turn will improve the quality of the code and the performance of the systems themselves. The goal of the work is to increase the efficiency of software development on the .NET platform. That use the Cosmos DB API, by developing a recommendation for the selection of software implementation methods for these APIs based on the results of their experimental research. The task: to investigate and compare the methods of software implementation of the Cosmos DB API through an experimental study of the performance of different types of queries on these software solutions; analyze the obtained results and develop recommendations for the use of methods. Methods: multi-criteria analysis of Cosmos DB API, logical data modeling, experimental research. Results: developed software solutions based on the use of CosmosClient, Entity Framework Core for Cosmos DB API for NoSQL and based on MongoClient for Cosmos DB API for MongoDB. A series of experiments and measurements of performance metrics for each of the software solutions were conducted, the obtained results were analyzed, and recommendations were offered for using the considered methods of software implementations of the Cosmos DB API on the .NET platform. Conclusion: In general, the choice of software approach depends on the specific task, but experiments have shown that CosmosDB API for NoSQL using CosmosClient is the best choice for small projects, and using the Entity Framework Core Cosmos is suitable for more complex projects with larger volumes of data and complex queries. If MongoDB is used in the project, then the corresponding solution using MongoClient is a better option than Cosmos DB API for NoSQL.
CYBERSECURITY ANALYSIS OF WEB-ORIENTED INDUSTRIAL IOT-SYSTEMS
Authors: Merzlikin Eugene , Babeshko Ievgen
Published: August 2023

In modern world cybersecurity ensuring is one of the most crucial issues, especially in the context of the dynamic development of web-oriented industrial Internet of Things (IoT) systems. The subject of research of the paper is cybersecurity ensuring of web-oriented industrial IoT systems. The purpose of the paper is to analyze existing methods of cybersecurity analysis, identify limitations, and formulate requirements for a new assessment concept, which includes ways to eliminate identified limitations. Tasks to be solved: analysis of existing methods, tools and technologies for the organization of web-oriented industrial IoT systems and the problems of ensuring their cyber security. Applied methods: source analysis, system analysis. Obtained results: The analysis of sources has shown that the problems of industrial IoT systems cybersecurity ensuring are relevant due to the use in one system of both the latest information technologies (IT) and traditional operational technologies (OT), such as industrial protocols, etc. In addition, the ever-increasing number and types of attacks aimed specifically at industrial IoT systems are additional drivers for the further development of the cybersecurity assessing and ensuring methods. A generalized concept of the cybersecurity assessing and ensuring process of web-oriented industrial IoT systems is proposed, which includes the stages of identification, analysis, security enhancement, detection and protection. Conclusions: The issue of the cybersecurity ensuring of the web-oriented industrial IoT systems is extremely relevant, and the existing analysis methods and ensuring means do not fully satisfy the existing requirements for such systems. That is why the development and implementation of the proposed concept of cybersecurity assessing and ensuring will allow to significantly influence the improvement of industrial IoT systems cybersecurity.
Perbandingan Metode SQ3R Metode CIRC terhadap Kemampuan Membaca Pemahaman Siswa
Authors: Ilham Ilham , Munirah Munirah , Akhir Muhammad
Published: August 2023

Penelitian ini bertujuan untuk mendeskripsikan perbandingan metode SQ3R (survey question read recite review) dan metode CIRC (cooperative integrated reading and compotion)  terhadap kemampuan membaca pemahaman siswa kelas IV sekolah dasar wilayah empat kelurahan batangkaluku kecamatan sumba opu kabupaten Gowa. Jenis penelitian yang digunakan dalam penelitian ini adalah quasy eksperimental design type nonequivalent multiple-group design. Populasi dalam penelitian ini adalah seluruh sekolah Gugus 4 kecamatan Somba Opu kabupaten Gowa yang berjumlah 2 dengan jumlah sampel 58 siswa menggunakan teknik random sampling. Teknik pengumpulan data yang digunakan adalah teknik tes untuk mengetahui kemampuan membaca pemahaman dengan memberikan soal essay berjumlah 4 nomor. Hasil penelitian beradasarkan uji hipotesis tentang perbandingan metode SQ3R (survey question read recite review) dan metode CIRC (cooperative integrated reading and compotion) posttest kelas eksperimen I dan eksperimen II menggunakan uji independent sample t test diperoleh nilai signifikan = 0,045 lebih kecil dari pada 0,05 sehingga dapat dinyatakan bahwa terdapat perbedaan yang signifikan pada kemampuan membaca pemahaman siswa dengan menggunakan metode SQ3R dan CIRC. Kemudian hasil uji hipotesis menggunakan uji independent sample t test tentang perbandingan metode SQ3R (survey question read recite review) dan metode CIRC (cooperative integrated reading and compotion) terhadap kemampuan membaca pemahaman siswa, diperoleh nilai  signifikan = 0,000 lebih kecil dari pada 0,05. Sehingga dapat disimpulkan bahwa terdapat perbedaan yang signifikan terhadap metode SQ3R (survey question read recite review) dan metode CIRC (cooperative integrated reading and compotion). Dimana metode CIRC (cooperative integrated reading and compotion) lebih unggul dibandingkan metode SQ3R (survey question read recite review)
Pengaruh Model Pembelajaran Kooperatif Tipe NHT terhadap Kemampuan Pemecahan Masalah Matematis di Sekolah Dasar
Authors: Aminah Siti , Taqiyyah Fathiinatut , Nakhlah Riya Ma’alya , Puryati Lila Kurnia , Ermawati Diana
Published: August 2023

Dalam kemampuan menguasai pembelajaran matematika di sekolah dasar, sebagian besar siswa belum memahami materi pecahan dan masih kesulitan menyelesaikan soal pecahan. Siswa cenderung hanya fokus pada hasil akhir tanpa mengetahui proses penyelesaian masalah. Tujuan penelitian ini adalah untuk mengetahui pengaruh penerapan model pembelajaran Numbered Heads Together (NHT) terhadap kemampuan pemecahan masalah matematika siswa sekolah dasar. Metode penelitian ini menggunakan penelitian kuantitatif tipe eksperimen dengan desain pembelajaran, desain pre-experimen dalam bentuk one grup pre-test post-test. Teknik pengumpulan data menggunakan observasi dan tes tertulis. Teknik analisis data penelitian menggunakan uji paired sample t-test. Uji paired sample t-test adalah pengujian untuk mengevaluasi perlakuan yang ditandai dengan perbedaan rata-rata sebelum dan sesudah diberikan perlakuan. Hasil belajar matematika juga terlihat pada rata-rata kelas yang meningkat dari 57,7 (pretest) menjadi 68.7 (posttest). Nilai signifikan  0,000 <  0,05 hal itu menunjukkan bahwa H0 ditolak dan Ha diterima sehingga dapat disimpulkan bahwa penerapan model pembelajaran Numbered Heads Together (NHT) berpengaruh terhadap kemampuan pemecahan masalah matematika siswa kelas tiga.
Génesis y construcción del kirchnerismo cordobés (2002-2005)
Authors: Tcach Iván
Published: August 2023

El presente trabajo está centrado en analizar los orígenes del kirchnerismo en la provincia de Córdoba y se ciñe temporalmente alperíodo 2002 - 2005: el análisis se remonta tanto a la época de la campaña electoral como a los primeros años de Néstor Kirchner alfrente del Ejecutivo nacional. En función de este objetivo, se ofrece una reconstrucción histórica y politológica de los criterios  de construcción política desarrollados por el kirchnerismo, tomando en consideración cuatro dimensiones de análisis: el tipo de redes políticas y personales de apoyo; la relaciones de intercambio con el oficialismo provincial liderado por José Manuel de la Sota; el tipo de vínculos establecidos con el nobel Partido Nuevo, orientado por Luis Juez y la posibilidad de impulsar una línea política propia de extracción peronista en Córdoba. Con el objeto de enriquecer el análisis hemos consultado el acervo documental disponible como  entrevistas a protagonistas del período. En definitiva, el siguiente análisis puede ser de utilidad para plantearse los siguientes  interrogantes: ¿Cuáles fueron los objetivos centrales del Ejecutivo nacional en relación a su irrupción política en la provincia a partir  del año 2003? Y por consiguiente; ¿Cuál fue la estrategia política del Ejecutivo nacional que primó en Córdoba? ¿Qué tipo de vínculos  se establecieron entre el espacio político del presidente y los líderes provinciales?
The Demands of Expertise.docx
Authors: Paetkau Tyler
Published: August 2023

This paper challenges the prevailing notion that vaccine hesitancy among healthcare workers is an epistemic failing in their capacity as healthcare workers. In the face of the Covid-19 pandemic, a significant number of HCWs remain vaccine hesitant, which has triggered strong public response. This hesitancy is characterized as both an ethical and an epistemic failing. In this paper, I focus on the latter response, which assumes that healthcare workers should have a superior understanding of vaccines. In contrast, I argue that healthcare workers epistemic abilities and responsibilities exist on a spectrum determined by their level of rational authority regarding vaccinations and the epistemic resources available to them. As such, I argue that hesitancy on the part of most healthcare workers does not constitute an epistemic failing.
آيات البيان القرآني بين السعة والضيق ، مطالعة تحليلية في المعطيات اللغوية
Authors: ناطق نجم عبد الله الزركاني م.د
Published: August 2023

نحاول في هذا البحث أنْ نتعرف على جملة من الآيات القرانية وإمكانية أن يُؤسَّسَ لفهم شامل بوساطة القُرْآن نفسه , بعيداً عن النصوص القُرْآنية ذات الأبعادِ الشمولية التي جرى التَّنظير لها لاحقاً وتحميلها للأبعاد الشمولية بحسب مقاربات لغوية خاصة وإعمال آليات محددة ومطالعات تحليلة في المعطيات اللغوية .

     إنَّ هذا التَّأسيس القرآني قائم على فكرة اتساع وشمولية النَّص القرآني واستيعابه لكل جوانب الحياة المتعددة بما فيها الجانب العلمي والطبي والفلكي والسِّياسي , واذا ما تمَّ التَّحقق من ذلك عندئذ ستتشكَّل بنية فكرية تحتية رصينة لصالح وجود فهم شمولي واسع للنَّص القرآني , ولا يهمنا بعد ذلك إذا ما استطاع الباحث الوصول إلى هذه الدّلالة الشاملة أو تلك , فالمهم أنَّ هناك ايات قرانية عديدة تؤسس لقضية سعة القران الكريم وشموله , وعلينا أن نجتهد في الكشف عن هذه الأفكار عبر مناهج وآليات محدَّدة .

     إنَّ ما علينا فعله الآن هو مطالعة تحليلة في نصوص قرانية منتقاة  تمثل الشُّمول القرآني بمقاربات لغوية دلالية لغرض الوصول لإثبات ذلك الاتساع او الضيق أو نفيه .
Analyzing the Factors Behind Cost Overruns in Project Management
Authors: Hassan Amelia
Published: August 2023

Analyzing the Factors Behind Cost Overruns in ProjectManagement
BMF CP48: Usage-based philanthropy: How public park visit frequency affects citizens’ willingness to donate to tree-planting projects
Authors: Team AISDL
Published: August 2023

BMF CP48: Usage-based philanthropy: How public park visit frequency affects citizens’ willingness to donate to tree-planting projects
PRE-PRINT Associations between the use of fitness and diet tracking technology and disordered eating behaviour: A systematic review.
Authors: Moody Sarah , Ross Lindsay , Opitz Marie-Christine , Hemmings Amelia , İnce Başak , Kuehne Carina , Phillips Matthew , Schmidt Ulrike , Sharpe Helen
Published: August 2023

AbstractBackground: The past 15 years have seen exponential growth in the fitness and well-being device industry aiming to improve health and fitness. However, concerns are emerging regarding the possible negative effects of fitness and diet trackers (FDT1) and whether they may increase disordered eating behaviours. The current review is the first to systematically examine the relationship between FDT use and disordered eating in both general and clinical populations. Methods: The following databases were searched: EMBASE, Medline/PubMed, PsychInfo, CINAHL Plus, ERIC, SportDiscus, ASSIA, Social Science Premium, Sociological Abstracts, Sports Medicine and Educational Health, SCOPUS, Cochrane Library, and ProQuest Dissertation and Theses Global. A date limit was set to 2005 onwards when FDT were first introduced. Studies were eligible if they were quantitative, written in English, and included both a measure of disordered eating behaviours and FDT use. A narrative synthesis was used and separated results by disordered eating outcomes.Results: 17 studies were included in the final review with heterogeneous results. Cross-sectional studies revealed reasonably consistent evidence of an association between disordered eating and FDT use, specifically regarding global disordered eating, dietary restraint, excessive exercise, and disordered muscle-orientated behaviour. However, this association was not consistently replicated as in experimental research. Conclusion: The results of the current review reveal that while FDT use is a correlate of disordered eating, it is currently not possible to conclude if FDT increase disordered eating or the direction of this relationship. Future research is needed to determine the nature of this relationship and the possible mechanisms. Given this, caution should be exercised by those promoting use of these devices and using them in research.
IL21R is differentially expressed in central nervous system metastasis.
Authors: Mamoor Shahan
Published: August 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer and lung cancer (1-3). We mined published RNA-sequencing and multiplexed gene expression data (4, 5), comparing primary and brain metastatic tumor transcriptomes for the discovery of genes associated with metastasis to the CNS. We found that the interleukin-21 receptor, encoded by IL21R, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. Multiplexed gene expression data (5) revealed conserved differential expression of IL21R in CNS metastasis in patients with lung cancer. IL21R mRNA was present at decreased quantities in metastasis to the brain in humans with lung cancer. Primary tumor expression of IL21R correlated with overall, distant metastasis-free and recurrence-free survival in patients with breast cancer. Modulation of IL21R expression may be relevant to the biology by which tumor cells metastasize from the primary organ site to the brain in humans with cancer of the lung and breast.
Pengabdian
Authors: Marni
Published: August 2023

Stimulation of hand washing with soap (CTPS) is very important as a preventive step in a comprehensive strategy to combat stunting in children. Stunting causes the Naibonat Village to experience significant difficulties.
Microsoft Excel untuk Pemula: Buku 1
Authors: Riyanto Aris
Published: August 2023

Buku ajar materi Microsoft Excel (spreadsheet) untuk pemula (kalangan umum, pelajar, mahasiswa) yang belum mengenal aplikasi spreadsheet khususnya Microsoft Excel. Buku ini dibuat sebagai buku pegangan pembelajaran khususnya pembelajar yang sedang menempuh studi Microsoft Excel/Spreadsheet/Office yang diampu oleh penulis.
Perancangan Aplikasi Keluar Masuk Surat Perintah Kerja Percetakan Digital Menggunakan PHP dan MySql di CV. Mulyatama Abadi
Authors: Firdaus Arif Fadhil Achmad , Riyanto Aris
Published: August 2023

— Percetakan Digital adalah salah satu cara dalam mencetak gambar berbentuk digital, yang biasanya berbentuk berkas, dan nantinya dapat dicetak ke dalam bentuk berbagai media dengan mudah dan cepat. Dalam setiap perusahaan penyedia jasa membutuhkan SPK (Surat Perintah Kerja) untuk menunjukkan adanya hubungan antara pelanggan dan perusahaan/penyedia jasa, tidak lain dengan percetakan digital yang sehubungannya berjalan di bidang penyedia jasa. Semakin banyaknya pelanggan yang menggunakan jasa semakin banyak SPK yang dibuat dan akan semakin rumit untuk mengelola surat-surat tersebut. Tujuan penelitian adalah untuk mempermudah perusahaan dalam mengelola SPK dan mempermudah dalam pemberian laporan juga pencarian pesanan para pelanggan. Metode yang digunakan peneliti dalam penelitian yaitu menggunakan metode waterfall, di mana tahapan dalam metode waterfall lebih mudah diterapkan dan peneliti berpikir cocok untuk diterapkan dalam website aplikasi ini. Diharapakan setelah website ini dikembangkan, semoga dapat mempermudah bagi perusahaan percetakan digital dalam mengelola SPK yang biasanya berbentuk kertas dan menumpuk sehingga sulit dalam pencariannya.
Scribble Me This: The Basolateral Polarity Complex Regulates Hippo Signaling
Authors: Colston Tobey
Published: August 2023

The Hippo pathway is a critical regulator of cell proliferation, tissue homeostasis, and organ size. Apical-basal cell polarity is a major upstream cue that controls Hippo signaling by inhibiting YAP and TAZ. To date, the majority of studies have been devoted to the regulation of the Hippo pathway by apical polarity complexes, while the contributions of basolateral complexes have been less understood. In this review, we explore the cell polarity regulation of the Hippo pathway with a focus on the basolateral protein Scribble and its polarity protein partners.
IL6 is differentially expressed in central nervous system metastasis.
Authors: Mamoor Shahan
Published: August 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer and lung cancer (1-3). We mined published RNA-sequencing and multiplexed gene expression data (4, 5), comparing primary and brain metastatic tumor transcriptomes for the discovery of genes associated with metastasis to the CNS. We found that interleukin-6, encoded by IL6, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. Multiplexed gene expression data (5) revealed conserved differential expression of IL6 in CNS metastasis in patients with lung cancer. IL6 mRNA was present at decreased quantities in metastasis to the brain in humans with lung cancer. Primary tumor expression of IL6 correlated with recurrence-free survival in patients with breast cancer. Modulation of IL6 expression may be relevant to the biology by which tumor cells metastasize from the primary organ site to the brain in humans with cancer of the lung and breast.
Sustaining the invisible contributions of women in small-scale fisheries
Authors: Fitzgerald Maria Anne , Hansen Henry H. , Störmer Maja Michelle , Sibanda Arorisoe
Published: August 2023

This policy brief aims to improve gender equality in small-scale fisheries by fostering quality educational initiatives, identifying barriers to gender equality and equity, and improving networking and policy implementations.
BMF CP47: Examining the digital skills of nursing students in Indonesia and Thailand
Authors: SARI NI PUTU WULAN PURNAMA
Published: August 2023

Our society is undergoing digital change. Dealing with digital technologies has become daily practice, even in nursing—many healthcare facilities are implementing digital technologies. Therefore, nurses should adapt to the advancement of digital health technologies to better serve their clients. As the largest workforce in health, nurses are well-positioned to lead an agile digital healthcare workforce, and nursing students are the future professional nurses who will be more exposed to this technological advancement.The current study has three objectives, as mentioned below:1) Compare the basic digital skills of nursing students in Bangkok and Surabaya.2) Examine how information-processing skills in digital spaces affect the digital problem-solving skills among nursing students.3) Examine how information-exchanging skills in digital spaces affect the digital problem-solving skills among nursing students.
单个多栅极场效应管构成“与非门”、“或非门”的原理
Authors: YANG Zheng-Ling
Published: August 2023

在数字逻辑电路里，多个开关串联，可以构成逻辑“与”运算；多个开关并联，可以构成逻辑“或”运算。对于场效应晶体管，在沿着载流子导电的通路上，制作出多个栅极。这些栅极沿载流子通路以“串联”、“并联”的方式工作。这样，只用一只场效应管，和数个电阻，就可以构成“与非门”、“或非门”。
Control of ERCC6L (RAD26L) by NOD2.
Authors: Mamoor Shahan
Published: August 2023

We provide evidence here from loss-of-function studies in mice and gain-of-function studies in human cells (1, 2) which demonstrate control of excision repair cross-complementing rodent repair deficiency complementation group 6-like, ERCC6L (also known as RAD26L) by the NLR (nucleotide-binding oligomerization domain-like receptor) family protein NOD2.
A Toolkit for the Commercialization of PhD Research: An Entrepreneurial Approach
Authors: Keogh Colin
Published: August 2023

This paper explores the development and application of a toolkit designed to facilitate the commercialization of PhD research. The toolkit aims to provide PhD students with the necessary resources and guidance to transform their research into viable commercial products or services. The study draws on a variety of sources, including academic literature and practical examples, to illustrate the potential benefits and challenges of this entrepreneurial approach to research commercialization.
Evaluating the Impact of Scope Changes on Project Cost Overruns
Authors: Martha Lee
Published: August 2023

Evaluating the Impact of Scope Changes on Project Cost Overruns
La Inteligencia Artificial al servicio de la gestión y la implementación en la educación
Authors: Isusqui José César Piedra , Villavicencio Ismael Edwin Salazar , Inga César Vilchez , Gutiérrez Hernán Oscar Cortez , Díaz Bertila Liduvina García , Amaya Kelly Luz Amaya
Published: August 2023

La Inteligencia Artificial (IA), una nueva tecnología que está revolucionando muchos campos, incluido el educativo, ha demostrado su papel en la gestión educativa al automatizar y personalizar el aprendizaje. Esta tecnología se ha utilizado en la gestión de la educación para automatizar tareas repetitivas y mejorar la eficiencia, por ejemplo, la inteligencia artificial se puede utilizar para la clasificación y organización de documentos, el seguimiento automatizado de la asistencia y las calificaciones, y la programación de tareas, lo que reduce la carga de trabajo de los administradores y maestros, permitiéndoles centrarse en tareas más importantes, como la enseñanza y el desarrollo de los estudiantes. Además de la automatización, la IA también puede personalizar el aprendizaje de los estudiantes analizando sus patrones de aprendizaje y creando perfiles personalizados, recomendando actividades y recursos que satisfagan las necesidades de aprendizaje individuales de cada estudiante y facilitando el aprendizaje de los mismo, obteniendo, así, mejores resultados acedémicos y más altas calificaciones. Un sistema de IA puede analizar las respuestas de los estudiantes para determinar su nivel de comprensión y brindar retroalimentación inmediata. Esto permite a los estudiantes corregir errores y mejorar la comprensión antes de pasar a nuevos temas. A pesar de los beneficios de la IA en la administración educativa, existen preocupaciones sobre su uso. Una preocupación común es la privacidad y la seguridad de los datos de los estudiantes, ya que la IA recopila información personal y confidencial, por lo que es importante que las escuelas y universidades implementen medidas de seguridad adecuadas para proteger los datos de los estudiantes. Otra preocupación es que IA podría reemplazar a maestros y administradores, si bien la IA puede automatizar tareas repetitivas, es importante recordar que la educación es un proceso humano y que los maestros y administradores juegan un papel importante en la educación de los estudiantes. La IA no puede reemplazar la interacción humana y la conexión emocional entre maestros, administradores y estudiantes. Se espera que la tecnología sea utilizada en la gestión educativa. Por lo tanto, la automatización y la personalización del aprendizaje pueden mejorar la eficiencia y el rendimiento de los estudiantes, pero es importante tener en cuenta las preocupaciones sobre la privacidad y la seguridad de los datos de los estudiantes y el papel fundamental de los maestros y administradores en la educación. De este modo, con una implementación cuidadosa y responsable, la IA puede ser una herramienta invaluable en la gestión educativa.
M-band discrete wavelet transform–based deep learning algorithm for identifying thermokarst lakes in the QinghaiTibetan Plateau
Authors: Li Andrew , Liu Jiahe , Liu Olivia , Wang Xiaodi
Published: August 2023

Thermokarst lakes serve as key signs of permafrost thaw, and as point sources of CH4 in the present and near future. However, detailed information on the distribution of thermokarst lakes remains sparse across the entire permafrost region on the Qinghai–Tibet Plateau (QTP). In this research, we developed a new discrete wavelet transform (DWT)–based dual-input deep learning (DL) model using a convolutional neural network (CNN) framework to automatically classify and accurately predict thermokarst lakes. We created a new 3-way tensor dataset based on raw image data from more than 500 Sentinel-2 satellite lake images and decomposed those images using state-of-the-art M-band DWTs. We also incorporated non-image feature data for various climate variables. The special data treatment adds additional features and improves validation accuracy by up to 17%. As our data pre-processing does not require any manual polygon tracing, our method is more robust and can be upscaled easily without having to collect field data.
Pathogen Prevalence Predicts Global and US State Level Variation in Human Rights
Authors: Avellan Sean , Thornhill Randy , Charpentier Lucas , O'Shea Brian
Published: August 2023

Why do governments throughout the world differ in their human rights ideals? Here we aim to address an explanatory deficit in the causes of human rights governance using a hitherto unexplored connection to behavioral science and biology. High parasitic stress can result in extreme manifestations of the human behavioral immune system, which can result in high levels of outgroup social prejudices, authoritarianism, and conservatism. These outcomes are negatively associated with human rights, hence, we propose that variation in human infectious-diseases is a proximate and ultimate cause of variation in human rights governance. We tested this hypothesis cross-nationally with two human rights datasets (Study 1), across states in the USA using a novel state-level index of human rights (study 2), and at the individual-level (N > 400,000) using humanitarianism-egalitarianism scores (study 3). Results revealed that parasite stress consistently predicted worse human rights scores cross-nationally. Similarly, at the U.S. state and individual levels, parasite stress predicted worse human rights scores and lower HE beliefs. All effects survived the inclusion of key control variables. Our findings support the parasite stress theory of values and suggest that differences in human rights outcomes between nations and within nations partially stem from exposure to infectious diseases.
Well-Being: The Ultimate Criterion for Organizational Sciences
Authors: Tay Louis , Batz-Barbarich Cassondra , Yang Liu-Qin , Wiese Christopher W
Published: August 2023

For too long, organizational science has implicitly or explicitly endorsed job performance as the ultimate criterion (or the bottom line for organizational performance). We propose that a broader vision of well-being – or optimal functioning – should be the ultimate criterion. This conceptualization does not preclude performance but rather encompasses performance while including many other important aspects excluded from a narrow and limiting performance perspective. We present and build on historical and current perspectives that point toward the centrality of well-being (e.g., Psychology of Working, Critical Studies, Humanitarian Work Psychology, Occupational Health Psychology, and Positive Organizational Scholarship). The complexification of the ultimate criterion for well-being includes multiple perspectives, domains, and levels that have synergies and tensions. We believe this complexity adds increased rigor and realism that advances both our science and practice. A focus on well-being is also aligned with the broader field of psychology and societal concerns
Predictability and variation in language are differentially affected by learning and production
Authors: Keogh Aislinn , Kirby Simon , Culbertson Jennifer
Published: August 2023

General principles of human cognition can help to explain why languages are more likely to have certain characteristics than others: structures that are difficult to process or produce will tend to be lost over time. One aspect of cognition that is implicated in language use is working memory -- the component of short-term memory used for temporary storage and manipulation of information. In this study, we consider the relationship between working memory and regularisation of linguistic variation. Regularisation is a well-documented process whereby languages become less variable (on some dimension) over time. This process has been argued to be driven by the behaviour of individual language users, but the specific mechanism is not agreed upon. Here, we use an artificial language learning experiment to investigate whether limitations in working memory during either language learning or language production drive regularisation behaviour. We find that taxing working memory during production results in the loss of all types of variation, but the process by which random variation becomes more predictable is better explained by learning biases. An exemplar-based computational model offers a potential explanation for the production effect using a simple self-priming mechanism.
The persuasive effects of political microtargeting in the age of generative AI
Authors: Simchon Almog , Edwards Matthew , Lewandowsky Stephan
Published: August 2023

The increasing availability of microtargeted advertising and the accessibility of generative AI tools, such as ChatGPT, have raised concerns about the potential misuse of large language models (LLMs) in scaling microtargeting efforts for political purposes. Recent technological advancements, involving generative AI and personality inference from consumed text, can potentially create a highly scalable "manipulation machine'" that targets individuals based on their unique vulnerabilities without requiring human input. This paper presents four studies examining the effectiveness of this putative "manipulation machine'". The results demonstrate that personalized political ads tailored to individuals' personalities are more effective than non-personalized ads (Studies 1a and 1b). Additionally, we showcase the feasibility of automatically generating and validating these personalized ads on a large scale (Studies 2a and 2b). These findings highlight the potential risks of utilizing AI and microtargeting to craft political messages that resonate with individuals based on their personality traits. This should be an area of concern to ethicists and policy makers.
Implicit bias and experience influence overall but not relative trustworthiness judgment of other-race faces
Authors: Cheung Olivia S. , Quimpo Nathan Joseph , Smoley James
Published: August 2023

Impressions of trustworthiness are formed quickly from faces. To what extent are these impressions shared among observers of the same or different races? Although high consensus of trustworthiness evaluation has been consistently reported, recent studies suggested substantial individual differences. For instance, negative implicit racial bias and low contact experience towards individuals of the other race have been shown to be related to low trustworthiness judgments for other-race faces. This pre-registered study further examined the effects of implicit social bias and experience on trustworthiness judgments of other-race faces. A relatively large sample of White (N=338) and Black (N=299) participants completed three tasks: a trustworthiness rating task of faces, a race implicit association test, and a questionnaire of experience. Each participant rated trustworthiness of 100 White faces and 100 Black faces. We found that the overall trustworthiness ratings for other-race faces were influenced by both implicit bias and experience with individuals of the other-race. Nonetheless, when comparing to the own-race baseline ratings, high correlations were observed for the relative differences in trustworthiness ratings of other-race faces for participants with varied levels of implicit bias and experience. These results suggest differential impact of social concepts (e.g., implicit bias, experience) vs. instinct (e.g., decision of approach-vs-avoid) on trustworthiness impressions, as revealed by overall vs. relative ratings on other-race faces.