bluuebunny/crossref_metadata_2025 huggingface dataset:
Etiopathogenesis in Neuropsychological Aspects of Mood Disorders and Self-Harming Behavior in Adolescents: A Review
Authors: Agestia Mayumi , Djannah Fathul
Published: September 2024

The average prevalence of self-harm in school-age adolescents in the world is 17.20% with bipolar spectrum disorders (37%) apparently higher than among adolescents with depressive disorders (13%). Based on etiopathogenesis, neuropsychological factors are associated with the emergence of mood disorders and self-harm behavior. The method used is the preparation of this article review was carried out through the process of searching, collecting data, and analyzing several articles from Science Direct, Proquest, Pubmed, and Google Scholar. The extracted data were analyzed to summarize the findings related to the etiopathogenesis of mood disorders and self-harm behavior in adolescents reviewed from a neurophysiological aspect. Discussion: Based on the results of the analysis of several articles, the etiopathogenesis of mood disorders and self-harm behavior in adolescents reviewed from a neurophysiological aspect is related to the influence of neurotransmitters and changes in the functional structure of the brain. The related neurotransmitters are serotonin, dopamine, GABA, glutamate, norepinephrine, and histamine. In adolescents who are not accompanied by psychological maturity, it can cause conflicts that result in emotional stress and distress as well as the emergence of negative emotions related to changes in brain function and structure related to brain neuroplasticity and disruption of the reward and punishment system in the limbic system.
O Apagamento das Influências Pitagórico-Platônicas nas Abordagens De Livros Didáticos Sobre As Elaborações Astronômicas de Johannes Kepler
Authors: Monteiro Maria Amélia
Published: September 2024

Analisamos as abordagens sobre as proposições de Kepler na astronomia em seis livros de física já utilizados no ensino médio, em um Estado brasileiro. Elaboramos uma historiografia usando fontes e referências secundárias. Na construção dos dados, mobilizamos a Análise Textual Discursiva e elaboramos cinco metatextos. Constamos que os livros omitem as influências pitagórico-platônicas nos pressupostos de Kepler, contribuindo para uma interpretação instrumentalista dessa atronomia.
Mineral Composition and Distribution of Silt and Oxides in Shatt Al-Arab Deposits, Basra, Iraq
Authors: Mahdi AL- Hameedawi Salah , Shaalan Jarallah Raid
Published: September 2024

Understanding the mineral composition and distribution of river deposits is crucial for environmental management, resource utilization, and geological studies. This study aims to investigate the mineral composition and distribution of silt and oxides in the deposits of the Shatt al-Arab River, specifically in the Faw area of Basra Governorate. Samples were collected from depths of 0-30, 30-60, and 60-90 cm. The silt fraction (2-53 micrometers) was isolated, and mineral analysis was conducted using XRD and a point-counting device. Morphological characteristics were determined using a polarized light microscope. XRD analysis revealed the presence of minerals such as quartz, calcite, dolomite, smectite, kaolinite, chlorite, illite, hematite, magnetite, and albite at varying depths. Polarized light microscopy identified additional minerals within light and heavy fractions. The study found a dominance of monocrystalline quartz and opaque minerals, with magnetite being more prevalent than hematite across all depths and a high correlation coefficient with depth (0.96). Depth-specific variations in mineral composition suggest the need for further research in different locations and at greater depths. These findings provide insights into sedimentary processes and potential resource utilization in the region, making this study significant for regional geological and environmental research. Future research should focus on the temporal changes in mineral composition and their impact on sediment dynamics to enhance the understanding of regional geological history and resource management.
Influence of cross-training program to employee retention in selected Restaurants in Cabanatuan City Nueva Ecija
Authors: Jamella Carrasco Clanes
Published: September 2024

Restaurants are constantly looking for ways to improve the efficiency and productivity of their operations. One effective strategy is to implement a cross-training program among employees. By training staff for different tasks in the restaurant, it always ensures coverage and flexibility in case of unexpected absences or busy times. This study emphasized how Cross-Training programs affect the employees’ retention. Among one hundred twenty-five (125) employees of selected Restaurants in Cabanatuan City. This research through quantitative descriptive correlational analysis technique was able to analyze the influence of cross-training program and employees’ retention. Researcher were able to see what the cross-training program relationship is all about in the retention of staff. The Result of the study shows a significant relationship between Cross-training program and its effect to the growth and retention of employees. The organization should regularly engage in programs like Cross-training since it benefits the employees themselves by providing them with valuable skills and experience that can enhance their career growth within the restaurant industry. It allows them to gain a better understanding of different aspects of the business, leading to improved teamwork and communication among staff members.
Pengaruh komposisi media terhadap pertumbuhan dan kualitas lingkungan kultur Pavlova sp.
Authors: Iwamony Johanes L. , Pattinasarany Maureen M. , Pattipeiluhu Shelly M. , Jamal Endang
Published: September 2024

To optimise the production of microalgae culture, manipulation of media culture composition is one of the efforts. This study aimed to compare the growth of microalgae Pavlova sp. and the environmental culture conditions between different media compositions. Pavlova sp. was cultured for nine days using three different media compositions: A, B, and C. Cell density was counted daily. The concentration of ammonia, nitrate, and phosphate, as well as total Vibrio and total bacteria, were measured during the culture period on the 3rd, 6th, and 9th day. The result showed that the highest cell density was found in C media (5,08 x 106 cells/ml) followed by B media (4,58 x 106 cells/ml) and A media (4,46 x 106 cells/ml), but statistically, there was not significantly different growth rate between those media (P=0.83 >0.05). Phosphate and nitrate concentrations decreased in all media, but ammonia increased. The total count of bacteria and Vibrio sp. on C media was lower than on A and B media. This finding indicated that the composition of C media was more suitable for the growth and culture environmental condition of Pavlova sp. culture at a semi-massal scale.
Strategi Pengelolaan Kualitas Air di UPTD BBIAT Waiheru Kota Ambon
Authors: Pirhel Pirhel , Tuhumena Lolita C. , Pattipeilohy Christian E.
Published: September 2024

The currently aquaculture have prospects that good is fish cultivation and influenced by thecnical factor and non-thecnical that determine as a requiement for cultivation business. The technical factor thar direct to influenced or failed towards cultivaation technical activity such as water quality. If there is a decrease in water quality can caused by inclusion of heavy metals to waters. The monitoring of water quality that carried out in UPTD BBIAT Waiheru only limited on physical parameters, while monitoring towards chemical parameters such as heavy metal content not done, so that not obtained an overall water quality information. For that researched needs to be done which aims to formulated direction of management water quality on UPTD BBIAT Waiheru. Ths researched by done on months November-December 2019, at UPTD BBIAT Waiheru. Water sampling used purposive sampling. Analysa method is SWOT and AHP. Based on the results of study incicated ther are six strategys direction of management water quality at UPTD BBIAT Waiheru and order of priority through analysis AHP is : 1) fulfillment of supporting facilities and infrastructures, 2) improvement of human resources capacity 3) improvement of society awareness  related utilization of water resources,4) improvement of inventory, Identification and supervision towards water pollution source ,5) improvement of operational budget, and 6) improvement  of CBIB certificate.
Sandera Israel dan Palestina dalam Pemberitaan CNN dari Perspektif Fairclough
Authors: Sherina Putri , Mardiah Zaqiatul
Published: September 2024

Konflik Israel-Palestina merupakan salah satu konflik paling kompleks dan berkepanjangan yang sering menjadi sorotan media internasional. Penelitian ini akan mengungkap bagaimana CNN sebagai platform berita yang mewakili pers Barat (Amerika) menggambarkan Palestina melalui pemberitaan tentang situasi sandera dari pihak Israel dan pihak Palestina. Adapun Palestina yang menjadi fokus dalam penelitian ini adalah khusus pada organisasi yang ada di dalamnya, yaitu Hamas. Data yang digunakan dalam penelitian ini adalah 10 berita mengenai situasi warga Palestina yang disandera oleh Israel dan 10 berita mengenai situasi warga Israel yang disandera oleh Palestina dalam jangka waktu delapan bulan sejak serangan udara Pasukan Hamas ke Israel pada tanggal 7 Oktober 2023 hingga bulan Mei 2024. Kemudian data dianalisis menggunakan analisis wacana kritis Fairclough dimensi mikrostruktural dengan bantuan korpus Sketch Engine. Melalui analisis kohesi dan koherensi, tata bahasa, dan leksikal, terlihat bahwa CNN cenderung berpihak pada Israel dengan membingkai Hamas sebagai pihak yang bertanggung jawab atas kekerasan dan ancaman dalam konflik tersebut.
Nama-Nama Tempat Makan di Blitar: Bentuk dan Refleksi Sosiokultural
Authors: Tsania Ilma Luthfi , Mualifah Salsa Wulan , Hasan Busri
Published: September 2024

Penelitian ini mengeksplorasi nama-nama berbagai rumah makan di Blitar dengan tujuan untuk mengungkap bentuk, makna, dan refleksi sosiokultural yang terkandung di dalamnya. Memahami signifikansi dari nama-nama rumah makan ini dapat memberikan gambaran tentang tradisi lokal, keyakinan, dan pengaruh sejarah yang kaya dan membentuk lanskap kuliner Blitar. Penelitian ini menggunakan pendekatan kualitatif dengan menggabungkan metode pengumpulan data seperti wawancara, observasi, dan analisis dokumen. Daftar lengkap nama-nama rumah makan akan dikompilasi dari berbagai wilayah di Blitar untuk memastikan representasi dari berbagai tradisi kuliner dan latar belakang. Selanjutnya, analisis linguistik akan dilakukan untuk mengidentifikasi bentuk dan fitur linguistik yang digunakan dalam nama-nama tersebut. Melalui identifikasi makna yang terkandung dan konteks sejarah, penelitian ini berusaha untuk mengungkap simbolisme budaya yang tersembunyi dalam nama-nama rumah makan. Tema-tema umum, simbol, dan metafora yang terkait dengan identitas dan warisan lokal akan dieksplorasi. Selain itu, penelitian akan menyelidiki pengaruh potensial dari tren kuliner global dan bagaimana interaksinya dengan nilai-nilai tradisional. Selanjutnya, refleksi sosiokultural dari nama-nama rumah makan ini akan dianalisis, dengan mempertimbangkan faktor seperti agama, norma-norma sosial, dan adat istiadat daerah. Aspek penelitian ini akan memberikan wawasan tentang bagaimana rumah makan di Blitar menavigasi sensitivitas budaya sambil merangkul modernisasi dan globalisasi. Temuan dari penelitian ini berkontribusi pada bidang linguistik, studi budaya, dan antropologi. Dengan mendalami signifikansi nama-nama rumah makan, penelitian ini akan memperkaya pemahaman kita tentang lanskap kuliner Blitar dan hubungannya dengan kain sosial budaya yang lebih luas di wilayah tersebut. Penelitian ini juga memiliki implikasi potensial bagi branding, pemasaran, dan meningkatkan apresiasi budaya di kalangan masyarakat lokal dan pengunjung
Revitalisasi Literasi Digital dalam Pembelajaran Menulis Artikel Opini Menuju Generasi Emas
Authors: Fauziyah Rahmah , Cahyani Isah , Kurniawan Khaerudin
Published: September 2024

Tujuan dari penelitian ini adalah untuk mempelajari bagaimana revitalisasi literasi digital menjadi sangat penting dalam dunia pendidikan saat ini, khususnya dalam hal meningkatkan kemampuan siswa untuk menulis artikel opini. Dengan memanfaatkan pendekatan kualitatif dengan basis studi pustaka, maka penelitian ini setidaknya menyelidiki tingkat literasi digital siswa, tantangan yang mereka hadapi saat menggunakan teknologi digital untuk menulis artikel opini, dan bagaimana revitalisasi literasi digital berdampak pada kualitas tulisan opini mereka. Hasilnya menunjukkan bahwa literasi digital siswa masih sangat dasar. Beberapa tantangan utama termasuk kurangnya pemahaman tentang literasi digital, keterbatasan akses terhadap teknologi, dan kurangnya dukungan dari lingkungan sekolah dan rumah. Namun, revitalisasi literasi digital yang diintegrasikan ke dalam pembelajaran dapat secara signifikan meningkatkan kemampuan siswa. Oleh karena itu, diharapkan bahwa literasi digital yang lebih baik dapat membantu siswa belajar menulis artikel opini dan mempersiapkan mereka untuk berpartisipasi secara aktif dalam diskusi intelektual dan publik.
Pengaruh Model Kwl (Know, Want, And Learned) dalam Keterampilan Membaca Pemahaman Teks Biografi Pada Siswa Kelas X di SMK Negeri 3 Kota Bekasi
Authors: Novelia Fitriyanti  , Sutri Sutri , Dewi Suprihatin
Published: September 2024

Penelitian ini bertujuan untuk mengkaji pengaruh penerapan model KWL (Know Want and Learned) dalam meningkatkan pemahaman membaca siswa pada teks biografi. Penelitian ini menggunakan metode kuasi-eksperimen dengan desain Pre-Test and Post-Test Non-Equivalent Control Group Design. Populasi dalam penelitian ini adalah siswa kelas X di SMK Negeri 3 Kota Bekasi dengan sampel terdiri dari dua kelas, yaitu kelas eksperimen yang menggunakan model KWL dan kelas kontrol yang menggunakan metode pembelajaran konvensional. Data dikumpulkan melalui tes pemahaman membaca sebelum dan sesudah perlakuan. Hasil analisis data menunjukkan bahwa terdapat peningkatan signifikan pada pemahaman membaca siswa yang menggunakan model KWL dibandingkan dengan siswa yang menggunakan metode pembelajaran konvensional. Dengan demikian, model KWL efektif dalam meningkatkan pemahaman membaca siswa pada teks biografi.
Yaşam ve Yazın Oyunları: Tehlikeli Oyunlar’da Oyun Kavramı
Authors: Gülnar Mesude
Published: September 2024

Oğuz Atay yazınının merkezinde konumlanan oyun kavramı, Tehlikeli Oyunlar’ın kurgu, dil ve içerik boyutlarını birbirine bağlayan çok yönlü anlamlarıyla, romanın temel izleği olan gerçeklik meselesinin sorunsallaştırılmasında kilit bir kavramdır. Eserin adından başlayıp kurgu tekniklerine kadar sirayet eden “oyun” / “oyunsuluk”, çocuk oyunlarından dil oyunlarına; gündelik dilden edebiyat, felsefe ve diğer pek çok disiplinin terminolojisine kadar ulaşan geniş anlam yelpazesiyle romana derinlik katmaktadır. Metnin motif düzleminde kötü olarak değerlendirilen gerçek hayat oyunlarından kurgusal dünyanın iyi oyunlarına kaçışın çift kutuplu anlamını veren, biçim düzleminde oyunsu kurgu ve anlatı tekniklerinin sembolü olan oyun imgesi, romanda bireyin kendisiyle, geçmişle, dille, gündelik yaşam pratikleriyle, modernliğin sonuçlarıyla hesaplaşmasında, bütün bu meselelerin ortak paydası olan gerçeklik sorunsalı etrafında işlevsel kılınmıştır. Tehlikeli Oyunlar’ı, romanın ruhu olarak tanımlayabileceğimiz oyun kavramı üzerinden incelemenin hem romanın kapsamlı bir incelemesini yapmak hem modernist ve postmodern metinlerle birlikte edebiyat dünyasında başat bir yer kazanan oyun kavramının etraflı bir analizini gerçekleştirmek hem de Oğuz Atay’ın düşünce dünyasını, bu dünyanın yansıması olan sanat anlayışıyla beraber araştırmak adına faydalı olacağı kanısıyla kaleme alınmış olan bu akademik çalışma, “Oyun Kavramı Işığında Tehlikeli Oyunlar Romanı Üzerine Bir İnceleme” başlıklı yüksek lisans tezimden yararlanarak hazırlanmıştır. Çalışmalarıma kıymetli fikirleriyle katkıda bulunan tez danışmanım Prof. Dr. Ali Şükrü ÇORUK’a sonsuz teşekkürlerimi sunarım.
Warum wir Aktivist*innen sein müssen
Authors: Krimmer Monika
Published: September 2024

Im Versuch, eine Brücke zwischen Aktivismus und psychotherapeutisch-psychoanalytischer sowie soziologischer Wissenschaft zu spannen, wird Aktivismus definiert, Einblick in die Protestforschung gegeben, es werden verschiedene seit 2018 neue Klimagerechtigkeitsgruppen in Deutschland vorgestellt und der Umgang mit der Klimathematik in ärztlichen und psychotherapeutischen Kreisen in Deutschland beschrieben. Aus psychoanalytischer Sicht wird dargestellt, wie aus Depression und Umweltmelancholie Handlungsbereitschaft entstehen kann, wie psychologisch-gesellschaftlich im Unbewussten die Wurzeln der Ausbeutung unserer selbst und des Planeten liegen und wie gerade für Psychotherapeut*innen eine radikal neue Ethik notwendig geworden ist.
»Talkin’ ’bout my generation«
Authors: Brunner Markus , König Julia , Lohl Jan , Ruck Nora , Schwietring Marc , Winter Sebastian
Published: September 2024

Dieser kurze Beitrag ist ein Dokument einer Reflexion von Generationenbeziehungen im Feld der psychoanalytischen Sozialpsychologie, das zugleich das analytische Potenzial dieser Wissenschaftstradition aufzeigt. Auf der Suche nach dem Politischen der psychoanalytischen Sozialpsychologie richtet sich der Fokus der Postdoc-Autor_innen plötzlich auf eigene Gefühlslagen der Ohnmacht und Enttäuschung. Es geht um einen gefühlten Abschied vom jugendbewegten politischen Aktivismus, die eigene »Verbürgerlichung« und das »Vernünftigwerden« im Wissenschaftsbetrieb, demgegenüber die politisierten Studierenden idealisiert, beneidet, aber auch verniedlicht werden. In der Reflexion dieser Gefühle und Phantasien zeigen sich institutionell geförderte Abwehrprozesse im akademischen Feld: Abgewehrt und projektiv in den Studierenden verhandelt werden Größenphantasien, Unsicherheiten und Versagensängste sowie Konkurrenz und Rivalitätsgefühl. Ausgeblendet werden dabei auch Möglichkeiten des politischen Handelns in den wissenschaftlichen Institutionen, welche auch eine Beziehung mit den politisch engagierten Studierenden auf Augenhöhe ermöglichen würden.
Construção de aplicativo móvel de avaliação de feridas para acadêmicos e profissionais de enfermagem
Authors: Lima Erica Valnis Moreira , Moraes Francisca Rhayra Gonçalves , Branco Nayra Ferreira Lima Castelo , Santos Lidyane Rodrigues Oliveira , Cordeiro Raimundo Flavio Dias , Araujo Fabiano Viana de , Vasconcelos Claudia Daniella Avelino
Published: September 2024

Objetivo: Desenvolver um aplicativo móvel para análise de feridas, contemplando o acrônimo TIMERS, mapa do corpo humano e os critérios de avaliação de feridas para profissionais e acadêmicos de enfermagem. Método: Pesquisa metodológica com produção tecnológica. A pesquisa dividiu-se em três etapas: pré-projeto, estruturação da pesquisa por meio de revisão da literatura sobre o tema e avaliação do trabalho com o desenvolvimento do protótipo. Resultados: Criou-se inicialmente um protótipo restrito ao sistema Android. O Avalia Feridas possui em seu arcabouço a ferramenta TIMERS, os critérios de avaliação de feridas e o mapa do corpo humano, assim busca favorecer melhor assistência de enfermagem, propiciando condutas individualizadas e colaborando com o processo de cicatrização. Conclusão: O aplicativo contribui para formar um senso crítico na avaliação de feridas, direcionando o acadêmico e o profissional de enfermagem na sua assistência. Posteriormente, o objetivo é validar o app para disponibilizá-lo ao público.
Revitalisasi filsafat eksistensialisme Kristen dalam manajemen pendidikan kristiani: Merancang sistem pembelajaran yang resilien dan bermakna
Authors: Sampaleng Donna
Published: September 2024

Christian education in Indonesia faces excellent challenges in responding to rapid social, cultural, and technological changes. This research uses the literature method to explore the application of Christian Existentialism Philosophy, based on the thoughts of Søren Kierkegaard and Jean-Paul Sartre, in a more reflective, authentic, and resilient Christian education management. This research consists of three steps: critical analysis of the results-oriented educational paradigm, study of existentialism, and development of an academic management model. The results show that the overly rigid and result-oriented model of Christian education ignores critical existential and spiritual dimensions. Integrating existentialism principles can help create a more inclusive, dialogical, and responsive educational management of the local context. Moreover, by incorporating reflective approaches, authentic experiences, and community engagement, Christian education can be more adaptive in shaping students' characters with integrity, insight, and ability to face global challenges. The model also underscores the importance of collaboration between schools, churches, and families in building a holistic and transformative educational ecosystem.
 
Abstrak
Pendidikan Kristen di Indonesia menghadapi tantangan besar dalam merespons perubahan sosial, budaya, dan teknologi yang cepat. Penelitian ini menggunakan metode kepustakaan untuk mengeksplorasi penerapan Filsafat Eksistensialisme Kristen, berdasarkan pemikiran Søren Kierkegaard dan Jean-Paul Sartre, dalam manajemen pendidikan Kristen yang lebih reflektif, otentik, dan resilien. Penelitian ini terdiri dari tiga langkah: analisis kritis terhadap paradigma pendidikan yang berorientasi hasil, kajian konsep eksistensialisme, dan pengembangan model manajemen pendidikan. Hasil penelitian menunjukkan bahwa model pendidikan Kristen yang terlalu kaku dan berorientasi pada hasil mengabaikan dimensi eksistensial dan spiritual yang penting. Integrasi prinsip-prinsip eksistensialisme dapat membantu menciptakan manajemen pendidikan yang lebih inklusif, dialogis, dan responsif terhadap konteks lokal. Selain itu, dengan menggabungkan pendekatan reflektif, pengalaman otentik, dan keterlibatan komunitas, pendidikan Kristen dapat lebih adaptif dalam membentuk karakter siswa yang berintegritas, berwawasan luas, dan mampu menghadapi tantangan global. Model ini juga menggarisbawahi pentingnya kolaborasi antara sekolah, gereja, dan keluarga untuk membangun ekosistem pendidikan yang holistik dan transformatif.
Tinjauan Atas Pajak Penghasilan Pekerja Lepas (Freelancer)
Authors: Khoirunnisa Luthfiyah , Kusuma I Gede Komang Chahya Bayu Anta
Published: September 2024

Penelitian ini bertujuan untuk membahas Pajak Penghasilan Pekerja Lepas (Freelancer) di Kota Malang. Metode yang digunakan dalam penelitian ini meliputi studi pustaka dan wawancara, pengumpulan data dan informasi dari berbagai literatur yang relevan dengan topik penelitian, serta data primer yang diperoleh melalui wawancara dengan informan. Perkembangan teknologi yang semakin pesat memudahkan masyarakat untuk bekerja sebagai pekerja lepas atau freelancer dari mana pun. Secara umum, tidak ada potongan PPh Pasal 21 atas komisi yang diperoleh oleh freelancer, namun freelancer yang menggunakan freelancing platform seperti Upwork akan dikenakan potongan komisi. Freelancer yang telah memperoleh penghasilan di atas PTKP atau telah memenuhi syarat subjektif dan objektif wajib memiliki NPWP dan memenuhi kewajiban perpajakannya, namun faktanya hanya sedikit freelancer yang menyadari kewajiban perpajakannya.
Industrial Hemp Legalization in Ghana: Potential Health Impact on the Ghanaian Youth
Authors: Amissah Richard Quansah
Published: September 2024

The recent legalization of industrial hemp in Ghana is likely to open up significant economic,environmental, and health opportunities. Given that the youth (15 to 35 years) make up 38.2%of the total population and contribute significantly to the country’s economic growth anddevelopment, understanding the implications of this legalization on youth health is crucial.This article aims to identify and discuss the health implications of industrial hemp legalizationin Ghana, focusing specifically on its impact on the youth. Industrial hemp legalization inGhana could lead to both positive and negative health outcomes. On the positive side, extensiveresearch and innovation could unlock the therapeutic potential of industrial hemp, contributingto the management of prevalent diseases such as malaria, epilepsy, sickle cell disease, diabetes,and prostate and breast cancers. Additionally, hemp seeds, renowned for their essential nutrientcontent, could address malnutrition issues among Ghanaian youth when incorporated into theirdiet. Moreover, there are indirect benefits, including economic and environmental advantages,that could further improve youth health. These benefits could ultimately enhance productivityand foster economic growth. However, the abuse and misuse of industrial hemp or hemp-basedproducts could pose potential risks, such as addiction and accidental or excessive consumption,as well as mental disorders like anxiety, psychosis, and depression. To address these potentialrisks, robust regulatory frameworks are essential. These frameworks should prioritizepromoting research, addressing public health concerns, and fostering stakeholder engagement.Considering the potential of industrial hemp legalization to improve youth health andcontribute to economic development, alongside the potential adverse health consequences, it isimperative for policymakers to develop effective, evidence-based regulatory frameworks andpolicies. This approach will help maximize benefits and minimize negative impacts.
Examining the Shift in Political Inclination of Korean Middle School Language Textbooks between the Independence and the Korean War (1945–1953): A Network Modeling Approach
Authors: Lee Eunji , Lee Myeong
Published: September 2024

Between 1945-1953, South Korean society's rightward shift is mirrored in language textbooks, previously analyzed qualitatively. This study introduces a network modeling approach to overcome methodological challenges, like unknown political affiliations of textbook contributors. We construct author co-occurrence networks using six textbooks for an initial assessment of quantifying political inclinations.
Enhancing Cybersecurity and Deepfake Detection with Advanced Techniques
Authors: Hariprasad Yashas
Published: September 2024

In this paper, we propose an integrated framework that addresses the critical challenges in cybersecurity and deepfake detection by combining advanced machine learning techniques and AI-driven approaches. Our framework includes an enhancement of the Synthetic Minority Oversampling Technique (SMOTE) using the Kalman filter to handle imbalanced datasets in cybersecurity applications, focusing on rare but significant attack patterns. Additionally, we introduce a boundary-based anomaly detection technique utilizing recurrent neural networks (RNNs) for detecting deepfakes, particularly by analyzing facial regions prone to manipulation. We also present a specialized framework for securing Internet of Things (IoT) networks from DODAG Control Message flooding, ensuring robust network operation. Furthermore, we demonstrate the effectiveness of AI-driven lip region analysis for real-time deepfake detection. The integration of these advanced techniques offers a powerful toolkit for addressing both cybersecurity threats and digital media integrity. Experimental results show significant improvements in both detection accuracy and real-time threat prevention.
Error Needs Culture! Advancing Data Sharing by Acknowledging Errors
Authors: Frank Maximilian , Hesselmann Felicitas , Jolliffe John , Miller Bernhard , Vosskuhl Johannes , Zänkert Sandra
Published: September 2024

In this manuscript, we examine the role of errors in data-driven research and assess the extent to which a lack of a positive error culture has been addressed across various research fields. It presents examples of how scientific communities have addressed related problems and highlights observations on how newly developed error cultures can positively impact the research process. We do this against the backdrop of Germany’s effort to facilitate data sharing through a National Research Data Infrastructure (NFDI) which was initiated in 2018. We demonstrate, error cultures both benefit from suitable infrastructure while at the same time needing their support to spread. Therefore, we argue that it is not the failure or the errors themselves that hinder the progress of scientific knowledge, but rather the way in which they are subsequently dealt with. Moreover, data sharing and open science practices can only be fostered by developing an error culture in each disciplinary context.
Advanced Financial Modeling for Stock Price Prediction: A Quantitative Methods
Authors: Sario Azhar ul Haque
Published: September 2024

This third volume in the “Stock Predictions” series builds on the success of the first edition, “Stock Price Predictions: An Introduction to Probabilistic Models” (ISBN 979-8223912712), and the second edition, “Forecasting Stock Prices: Mathematics of Probabilistic Models” (ISBN 979-8223038993). This new edition delves deeper into the complex world of quantitative finance, providing readers with a comprehensive guide to advanced financial models used in stock price prediction.The book covers a wide array of models, beginning with the foundational concept of Brownian Motion, which represents the random movement of stock prices and underpins many financial models. It then progresses to Geometric Brownian Motion, a model that accounts for the exponential growth often observed in stock prices. Mean Reversion Models are introduced to capture the tendency of stock prices to revert to their long-term average, offering a counterpoint to trend-following strategies.The book explores the world of volatility modeling with GARCH models, which capture the clustering and persistence of volatility in financial markets, crucial for risk management and option pricing. Extensions of GARCH, such as EGARCH and TGARCH, are examined to address the asymmetric impact of positive and negative news on volatility.In the latter part of the book, the focus shifts to Machine Learning, demonstrating how techniques like Support Vector Machines and Neural Networks can uncover complex patterns in financial data and enhance prediction accuracy. Recurrent Neural Networks, particularly LSTMs, are highlighted for their ability to model sequential data, making them ideal for capturing the temporal dynamics of stock prices.Monte Carlo simulations are discussed as a powerful tool for generating a range of possible future outcomes, enabling investors to assess risk and make informed decisions. Finally, Copula Models are introduced to model the dependence structure between multiple assets, critical for portfolio management and risk assessment.Throughout the book, each model is presented with a clear explanation of its mathematical formulation, parameter estimation techniques, and practical applications in stock price prediction. The book emphasizes the strengths and limitations of each model, equipping readers with the knowledge to select the most appropriate model for their specific needs.This book is an invaluable resource for students, researchers, and practitioners in finance and investments seeking to master the quantitative tools used in stock price prediction. With its rigorous yet accessible approach, this book empowers readers to leverage advanced financial models and make informed investment decisions in today’s dynamic markets.The book is based on 95 research studies, which are listed on the references page and uploaded on Harvard University’s Dataverse for transparency. As a published book, it has undergone review for originality.
Quantifying the impact of online social networks on the success of entrepreneurs
Authors: Vitalis Kyriacos , Stefanidis Dimosthenis , Pallis George , Dikaiakos Marios , Nicolaou Nicos , Nicolaides Christos
Published: September 2024

We leverage a rich online social network and entrepreneurial performance dataset to identify the effect of entrepreneurs’ social network activity on their professional success. We focus our analysis on ~79K founders of organizations listed in Crunchbase with an active personal Twitter account. We employ Ordinary Least Squares (OLS) multiple linear regression, where the dependent variable is the founder’s career success indicator as extracted from Crunchbase, and the predictor variables are the social network presence and activity indicators as extracted from Twitter. We find that the founder’s average annual number of tweets is negatively associated with different success indicators, demonstrating a significant adverse impact of mere tweeting on success. To address endogeneity concerns, we implement panel data analysis with Fixed Effects (FE) and Instrumental Variables (IV) by the means of Two-Stage Least Squares (2SLS) regression, the results of which are largely consistent with those of OLS main analysis.
The Future of AI in Higher Education: Opportunities & Challenges Ahead
Authors: Baig Mirza Abdul Aleem
Published: September 2024

The world has entered in an era of an unprecedented technological revolution. Artificial Intelligence (AI) is increasingly becoming more attainable and transformative force reshaping every sector and higher education is no exception. Progress in AI has generated new professions while de-skilling or re-skilling many others and its influence extends across diverse areas, including healthcare, economy, security, and notably, higher education. AI’s exceptional capacity to ingest and analyze extensive datasets, discern intricate patterns, and forecast outcomes underscores its potential to revolutionize conventional educational methodologies within the higher education sphere. Through an exploration of various AI applications such as personalized learning, student support services, predictive analytics, automated grading, content creation, and research assistance, the chapter highlights the potential for AI to revolutionize educational practices. By leveraging personalized learning algorithms and AI-driven tutoring systems, educational institutions can tailor learning experiences to individual student needs, enhancing engagement and comprehension. Predictive analytics enable early identification of at-risk students, facilitating targeted interventions to improve academic outcomes. In Pakistan context, where access to quality education is a pressing concern, AI can offer promising solutions to bridge existing gaps. However, the integration of AI in higher education is not without challenges. Ethical considerations, including data privacy and algorithmic bias, necessitate careful navigation to ensure equitable and transparent use of AI technologies. Through a balanced approach that prioritizes ethical guidelines and fosters collaboration between stakeholders, the evolving landscape of AI in higher education can be effectively navigated to optimize student success and institutional performance. Given this context, this chapter aims to respond to the following investigations:
Q1: What are the key benefits of AI for the future of higher education?
Q2: What are the key challenges of AI for the future of higher education?
Assessment of a transient homogeneous reactor through in situ adaptive tabulation
Authors: Cunha Jr Americo , Figueira da Silva Luis Fernando
Published: September 2024

The development of computational models for the numerical simulation of chemically reacting flows operating in the turbulent regime requires the solution of partial differential equations that represent the balance of mass, linear momentum, chemical species, and energy. The chemical reactions of the model may involve detailed reaction mechanisms for the description of the physicochemical phenomena. One of the biggest challenges is the stiffness of the numerical simulation of these models and the nonlinear nature of species rate of reaction. This work presents a study of in situ adaptive tabulation (ISAT) technique, focusing on the accuracy, efficiency, and memory usage in the simulation of homogeneous stirred reactor models using simple and complex reaction mechanisms. The combustion of carbon monoxide with oxygen and methane with air mixtures are considered, using detailed reaction mechanisms with 4 and 53 species, 3 and 325 reactions respectively. The results of these simulations indicate that the developed implementation of ISAT technique has a absolute global error smaller than 1%. Moreover, ISAT technique provides gains, in terms of computational time, of up to 80% when compared to the direct integration of the full chemical kinetics. However, in terms of memory usage the present implementation of ISAT technique is found to be excessively demanding.
Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings
Authors: Cunha Jr Americo , Soize Christian , Sampaio Rubens
Published: September 2024

This work intends to analyze the nonlinear stochastic dynamics of drillstrings in horizontal configuration. For this purpose, it considers a beam theory, with effects of rotatory inertia and shear deformation, which is capable of reproducing the large displacements that the beam undergoes. The friction and shock effects, due to beam/borehole wall transversal impacts, as well as the force and torque induced by bit-rock interaction, are also considered in the model. Uncertainties of bit-rock interaction model are taken into account using a parametric probabilistic approach. Numerical simulations have shown that the mechanical system of interest has a very rich nonlinear stochastic dynamics, which generate phenomena such as bit-bounce, stick-slip, and transverse impacts. A study aiming to maximize the drilling process efficiency, varying drillstring velocities of translation and rotation is presented. Also, the work presents the definition and solution of two optimizations problems, one deterministic and one robust, where the objective is to maximize drillstring rate of penetration into the soil respecting its structural limits.
The impact of induced stress on reactive and proactive control in depression
Authors: Masuyama Akihiro
Published: September 2024

Background. Depression, a widespread mental health issue, is often marked by impaired cognitive control, particularly in managing proactive and reactive processes. The Dual Mechanisms of Control (DMC) framework differentiates between these two modes of cognitive control: proactive control involves sustained goal maintenance, while reactive control is more stimulus-driven and transient. Stress, known to exacerbate cognitive dysfunction in depression, may influence the balance between these control processes, though the specific effects remain poorly understood. This study aimed to investigate how acute stress influences proactive and reactive control in individuals with depressive symptoms.Methods. A total of 142 participants were divided into high-stress and control conditions and further categorized based on their depression levels, measured using the Beck Depression Inventory-II (BDI-II). Cognitive control was assessed using the AX-Continuous Performance Task (AX-CPT), both before and after exposure to a stress-inducing anagram task, which was designed to differentiate between high-stress and low-stress conditions.Results. Participants exposed to the high-stress condition reported significantly greater stress and fatigue levels compared to the control group, validating the stress manipulation. Although the balance between reactive and proactive control, as measured by the Proactive Behavioral Index (PBI), did not show significant changes, depressive individuals in the high-stress condition exhibited a significant decline in their ability to retain contextual information, as indicated by a reduction in the d’-context index. This suggests that depressive individuals are particularly vulnerable to stress-induced impairments in proactive control.Discussion. These findings highlight the selective impact of stress on proactive cognitive control in individuals with depressive symptoms, shedding light on a potential cognitive vulnerability in depression. While the balance between reactive and proactive control remained stable, the impaired retention of contextual information post-stress points to a specific deficit in proactive control. This could have implications for targeted cognitive interventions, such as cognitive control training, aimed at enhancing resilience against stress in depressive populations. Future research should explore the long-term effects of stress on cognitive control, particularly in clinically diagnosed individuals.
Inconclusive prospective impact of internet gaming disorder on anxiety: A simulated reanalysis and comment on Meng et al. (2024)
Authors: Sorjonen Kimmo , Melin Bo
Published: September 2024

Based on findings from analyses with cross-lagged panel models, Meng et al. (2024) concluded that internet gaming disorder (IGD) can increase symptoms of anxiety. Here, we simulated data to resemble the data used by Meng et al. We used triangulation and fitted complementary models to the simulated data and found contradicting increasing and decreasing effects of initial IGD on subsequent change in anxiety symptoms. These divergent findings suggest that it is premature to assume an increasing effect of IGD on anxiety and the conclusion by Meng et al. in this regard can be challenged. It is important for researchers to be aware that correlations, including adjusted cross-lagged effects, do not prove causality in order not to overinterpret findings, something that appears to have happened to Meng et al. We recommend researchers to triangulate by fitting complementary models to their data in order to evaluate if observed effects may be due to true causal effect or if they appear to be spurious.
Partisanship and Economic Cooperation: Does Political Ideology Matter?
Authors: Pinheiro Flavio , de Almeida Lopes Fernandes Ivan Filipe
Published: September 2024

Does the partisanship of governing coalitions matter in determining patterns of economic cooperation between countries? A vast political economy literature suggests that differences in the partisanship of a government explains a broad array of domestic public policies. However, the topic is insufficiently addressed by international relations scholars and mixed results abound. In this paper, we propose to evaluate the relationship between government partisanship, based on ideological measures for heads of governments, and economic cooperation between countries, observing their behavior concerning Bilateral Investment Treaties (BITs). When analyzing BITs signed between 1990 and 2015 between 164 countries, we found evidence that a government's partisanship does not explain the probability of signing such agreements. Nevertheless, when observing the phenomena in a dyadic framework and conditioning on the partner's partisanship, the results demonstrate that governments who share similar ideological views cooperate more, or at least are more likely to sign BITs with each other. Additionally, the ideological alignment hypothesis seems to be stronger between the governments of developing countries and countries with left-wing governments. This study therefore makes an important empirical contribution to the literature by stressing the role played by ideology in international cooperation and unveiling competing explanations for BIT formation.
Artificial Intelligence Summaries of Historical Events Improve Knowledge Compared to Human-Written Summaries
Authors: Karell Daniel , Shu Matthew , Okura Keitaro , Davidson Thomas
Published: September 2024

How do artificial intelligence (AI) tools affect people's knowledge? Existing scholarship supports contrasting expectations. Some research shows that people often find AI-generated ("synthetic") texts clearer, more accessible, and more enjoyable to read, which can foster learning from the texts. However, other research shows that synthetic texts are derivative and homogeneous, making them less interesting and thus potentially inimical to learning. In two experimental studies, we find that people who read AI-generated summaries of historical events more accurately recall factual information about the events compared to people who read human-written summaries of the same event. In the first study (N=193), participants who read synthetic text describing the Seattle General Strike of 1919 correctly answered more fact-based questions than participants who read a text written by experts. The preregistered second study, with a sample nationally representative of the United States (N=1907) and additionally testing a second historical event, replicates the results of the first study. Study 2 also indicates that synthetic historical summaries have a positive effect regardless of whether subjects know they were generated by AI, as well as whether or not the summaries exhibit political biases. Furthermore, while synthetic summaries improve knowledge for participants across all levels of educational attainment, the largest improvements occur at the lowest levels. Our findings show how AI-generated texts can enhance learning and reduce, rather than amplify, educational inequalities.
AI Ethics Training in Higher Education: Pedagogical Toolkit
Authors: Bruneault Frédérick , Laflamme Andréane Sabourin , Boivin Jacob , Grondin-Robillard Laurence , Le Calvez Eveline
Published: September 2024

This pedagogical toolkit complements the competency framework entitled “AI Ethics Training in Higher Education: Competency Framework", which we produced thanks to the "Pôle montréalais d'enseignement supérieur en intelligence artificielle" (PIA). In this pedagogical toolkit, we provide concrete ways of carrying out training activities that will help develop the various aspects of AI ethics competency. For each activity, you will find a short explanation of the link between the proposed activity and the elements of the competency framework. This pedagogical toolkit should be seen as a working document that can be used creatively by the teachers who use it.
Functional Outcome of Surgical Treatment for Displaced Clavicle Fracture
Authors: Giri P. , Chettri D.S. , Bikash K.C.
Published: September 2024

Introduction: Clavicle fracture is commonest of all shoulder girdle injuries and common among all fractures with the incidence more common in men than women. Fractures of the middle third clavicle are common of all clavicle fractures. Traditionally the fracture has been treated non operatively. The consensus of management is inclining towards the open reduction and internal fixation for displaced mid-clavicular fractures, as the conservative management gives poor results. In adults, non-operative treatment of a displaced middle-third clavicle fractures results poor. The aim of this interventional prospective study was to analyze the outcome of surgical management of displaced clavicle fracture managed with open reduction and plate and screws.
Method: This is a hospital-based, interventional, prospective study that includes all patients between 16 -65 years with displaced midshaft fracture of clavicle admitted at Universal College of Medical Sciences (UCMS), Bhairahawa treated by Open reduction and internal fixation with plate and screw from October 2017 to February 2019 follow up was done in 1.5 months, 3 months and 6 months, respectively.
Result: There were 30 patients, 23 were male and 7 were female. The mean age of patient was 31.9 years range 16-65 years. Road traffic accident was the most common cause of fractures. The mean time of union was 10.2 weeks. Left side was involved more than right clavicle. The mean duration of surgery was about 87.6 minutes and the mean duration of hospital stay was 12.1 days. The Robinsons type 2B1 fracture was most common. Most common complication was hardware prominence. There was one malunion following plate back out, mean disable arm shoulder and hand DASH score at 1.5 months, 3 months and 6 months were 43%, 24%, and 9% respectively.
Conclusion: Displaced mid-shaft clavicle can be effectively treated by open reduction and internal fixation with plate and screw (ORIF) as it improves the functional outcome, DASH score and promotes earlier union.