bluuebunny/crossref_metadata_2025 huggingface dataset:
L'apprendimento adattivo e il suo ruolo nell'inclusività educativa
Authors: Lo Piccolo Alessandra , Pasqualetto Daniela
Published: February 2025

L'apprendimento adattivo, sostenuto dall'intelligenza artificiale (IA), rappresenta un'importante innovazione nel campo educativo, con un impatto significativo sull'inclusività. Questo approccio permette di personalizzare l'esperienza di apprendimento adattandosi in tempo reale alle esigenze individuali degli studenti, rispondendo a difficoltà specifiche e ottimizzando l'interazione con i contenuti educativi. Il contributo esamina i principali punti di forza dell'integrazione dell'IA nell'educazione, con un focus particolare sulla possibilità di personalizzare i percorsi di apprendimento in base alle esigenze individuali degli studenti con bisogni educativi speciali e provenienti da contesti socioeconomici svantaggiati. Il ruolo degli insegnanti nella co-progettazione educativa è centrale in questo processo, poiché la loro esperienza e comprensione delle necessità degli studenti è fondamentale per l'ottimizzazione dell'uso delle tecnologie adattive. Il contributo affronterà inoltre le sfide critiche relative all'integrazione dell'IA nei sistemi educativi, come l'equità nell'accesso alle tecnologie, la formazione degli insegnanti per l'uso efficace di strumenti adattivi e le questioni etiche legate alla privacy dei dati degli studenti
From Artificial Intelligence to Artificial Assistants in Education: Theoretical Foundations and First Applications in Teacher Education
Authors: Ballestra Caffaratti Luca , Monchietto Alessandro
Published: February 2025

The article explores the potential and limitations of Generative Artificial Intelligence (GenAI) in teacher training and inclusive education, emphasizing the importance of specific training for educators on the pedagogical use of these technologies. Experiments conducted at the University of Turin highlight the role of GenAI in creating personalized teaching materials and supporting student learning, particularly for those with Special Educational Needs (SEN). However, it is clearly evident that careful teacher supervision is essential to ensure pedagogical validity and alignment with educational objectives. The article concludes that GenAI should be considered a teaching assistant, integrated into a critical, human-centered approach aimed at fostering inclusive and student-centered learning.
Orientamento attivo nella transizione scuola-università-lavoro
Authors: Sicurello Rossana
Published: February 2025

Il tema dell'accompagnamento alla scelta di carriera in relazione alla fase di transizione dalla scuola all'università e al mondo del lavoro è diventato un focus rilevante nel dibattito sull'orientamento. Scegliere l'indirizzo nella scuola secondaria di secondo grado, il percorso universitario, le competenze specifiche da sviluppare o le direzioni verso cui orientare i propri sforzi di apprendimento apparentemente sembrano compiti semplici che interessano tutti i giovani adulti nei momenti di transizione e di passaggio dalla scuola all'università e dall'università al mondo del lavoro, ma non sempre è così: si tratta, infatti, di compiti di sviluppo cruciali per la costruzione della futura identità lavorativa e professionale per cui non sempre le persone sono preparate e/o adeguatamente supportate dal contesto familiare, sociale, culturale che li circonda. Una risposta potrebbe essere l'implementazione di un sistema di supporto allo sviluppo delle Career Management Skills, ovvero quelle competenze e abilità necessarie per la gestione, esplorazione, identificazione e realizzazione delle proprie aspettative a livello personale, formativo e lavorativo. Sono presentati, in tale direzione, i percorsi di orientamento educativo e professionale dedicati a studentesse e studenti di scuola secondaria di secondo grado e universitari, in linea con quanto stabilito dalle riforme PNRR per la transizione scuola-università-lavoro.
Implicazioni teoriche e uso clinico dell'ipnosi nei disturbi mentali gravi
Authors: Carnevale Fabio
Published: February 2025

La letteratura contemporanea relativa alla eziopatogenesi dei disturbi mentali gravi pone sempre maggiore enfasi sulle forme disfunzionali di accudimento come predittori di sofferenza mentale e fisica in adolescenza ed età adulta. Questo lavoro pone in relazione l'analisi del neglect e del maltreatment, ovvero delle forme disfunzionali di caregiving, con i principi fondativi della psicoterapia ipnotica ericksoniana, proponendo l'ipotesi che, in una prospettiva naturalistica, l'ipnosi possa costituire uno strumento di elezione nel trattamento dei disturbi mentali gravi.
Il riconsolidamento delle memorie traumatiche con l'ipnosi in tre passaggi: riattiva, trova, crea (parte prima)
Authors: Borghi Francesca
Published: February 2025

Nuovi risultati sul riconsolidamento delle memorie traumatiche testimoniano che è possibile non solo modificare il vissuto legato alle esperienze del passato, ma cancellarlo riscrivendo la memoria implicita emotiva e i condizionamenti che ne sono derivati. Il presente studio nasce dall'esigenza di applicare la tecnica ipnotica al processo di riconsolidamento per trovare un modello di applicazione efficace nell'elaborazione e nella trasformazione del trauma con l'ipnosi. L'uso dell'ipnosi offre una serie di vantaggi legati alle sue caratteristiche fondamentali che verranno spiegati più avanti, pertanto, può essere proficuamente applicata con l'obiettivo di trasformare il trauma in risorsa e liberare la persona dal condizionamento conseguente al trauma. Applicando l'ipnosi al processo di deconsolidamento e riconsolidamento della memoria traumatica, si evidenziano tre tipi di risultati, da trattare in maniera diversa per arrivare all'obiettivo della trasformazione del trauma. L'articolo descrive questo processo e propone alcuni casi clinici che evidenziano la metodologia di applicazione dell'ipnosi al riconsolidamento della memoria traumatica.
Processi di individuazione nel paziente e nel terapeuta. Le fasi iniziali della terapia con Rita
Authors: Persico Barbara
Published: February 2025

Nel presente articolo l'autrice parlerà, in particolare, di come l'elaborazione di alcune dinamiche e vissuti sperimentati in terapia con la paziente le abbia permesso di dare un nuovo senso a ciò che la paziente portava e ai suoi vissuti di controtransfert, troppo presto interpretati secondo un modello "dato". Disponibile a vivere l'incertezza di cui parla Jung e cogliendo la necessità di mettere in discussione il rapporto con i padri/analisti, ha potuto così modificare l'approccio al lavoro ed attivare una profonda riflessione sul suo assetto analitico.
Teaching Clinical Reasoning and Critical Thinking in Psychology Graduate Courses: A Systematic Review
Authors: Elbir Tugce , Cammeo Catia , Cavallini Francesca , Marchetti Antonella , Massaro Davide
Published: February 2025

Introduction: There are many studies and reviews that investigate the most functional ways of explicitly teaching clinical reasoning skills in more traditionally healthcare areas such as medicine and nursing, hypothesizing that reducing the gap between theory and practice could guarantee continuity in the quality of care provided to patients.Clinical reasoning and critical thinking are aspects that in clinical practice guide the psychologist in diagnosis and intervention. However, in the psychological field there is a lack of experimental studies that address the issue of direct or explicit teaching of these skills.This systematic review study sought to investigate, via a systematic review, whether there is an association between the teaching methodology and the student's improvement in their critical analyses and clinical reasoning skills.Statement of the Problem: Despite the importance for clinicians, the interest of researchers and academics is quite recent. Teaching of clinical reasoning is, on the contrary, more common in medicine and nursing sectors. Methodology: Articles published from 2004 until 2023 within PubMed (National Center for Biotechnology Information, NCBI), Web of Science (Core Collection, Clarivate Analytics), Scopus (Elsevier), EBSCO, Scielo, and Psychinfo databases were searched through the following keywords: Critical Thinking - Clinical Reasoning; Problem Based Learning - Case Based Learning; Teaching Methods - Teaching Strategies; Learning Strategies - Clinical Learning; University; Intervention - Training; Psychology; Psychology Students.Results: Theoretical and practical implications to teach clinical reasoning and critical thinking in the psychological field were discussed, including recommendations for designing researches aimed at investigating the impact of the different methodologies, as well as the possibility of including education in critical thinking within the different levels of training dedicated to psychologists.Conclusion: The collected studies presented methodologies that, although different, significantly promoted the improvement of critical thinking in university students, demonstrating that it is "possible" to transfer this complex skill.
Early Network-based Action Against Violent Behaviors to Leverage victim Empowerment: Results from an action-research plan
Authors: Ranghetti Francesca , Miragoli Sarah , Giulini Paolo , Rho Benedetta , Emiletti Laura , Contino Marina , Tassone Elvira , Battaglia Umberto , Corbucci Elisabetta , Merli Silvia , Murru Susanna , Milani Luca
Published: February 2025

The ENABLE project, which aims to implement the ZEUS protocol at the national level, aims to activate specific interventions to prevent violence against women by going directly to individuals who have been admonished for domestic violence or stalking, thus implementing a system of protection towards victims. A second objective concerns the implementation of a training intervention aimed at project workers and law enforcement officers. The topic of gender-based violence, identification and management of situations at risk of escalation through the construction of shared operational practices was the subject of the training. Following the trainings, a quantitative survey was administered to law enforcement officers (both training participants and non-trainees) to assess their knowledge of the instrument of warning, referral to treatment and specific forms of gender-based victimization, use of referrals to treatment, and knowledge of gender-specific forms of victimization. The results showed significant differences between participants versus non-participants to ENABLE training, with respect to intervention effectiveness, awareness and knowledge related to the training. With regard to the admonished and petitioning parties, two different surveys were administered aimed at investigate, at the end of intake, clinical and individual adjustment variables (in terms of depression and posttraumatic symptoms, coping strategies, risk of victimization, and adverse childhood experiences). The results showed significant differences between the two groups (admonished versus instant parties), particularly with regard to the depressive and post-traumatic risk variables, with the instant parties being more likely to be exposed to this condition than the admonished.
Quale rapporto tra capitali e territori? Prospettive teoriche e di ricerca sulla finanziarizzazione dello sviluppo urbano
Authors: Conte Veronica , Fiore Mattia
Published: February 2025

In this essay, we propose a sociological and territorial perspective on the relationship be-tween capital and space and, more specifically, on the financialisation of urban development. Having sketched an analytical and conceptual framework, we invite the reader to put the prop-erty market at the centre of their analysis of the transformation of urban space. Finally, we briefly discuss the state of the art in Italy, suggesting new avenues for future research.
The Hiring and Termination Procedures for Employees in Bangladesh Under the Labour Act of 2006 and the Role of the Courts
Authors: Al Imran Hassan
Published: February 2025

The Bangladesh Labour Act of 2006 is the primary legislation in Bangladesh that addresses issues related to employment. The main objective of the Act is to rectify previous disparities and create a favourable working environment for workers. The legislation sets out detailed regulations concerning job conditions and services. In practice, employers often hold significant powers, including the authority to hire, terminate and dismiss employees at their discretion for various reasons. However, the Labour Act and the Labour Court are tasked with ensuring fair treatment and upholding the principles of natural justice. Specifically, the Bangladesh Labour Act empowers the Labour Courts to intervene in cases of employee termination through the grievance procedure. This study thoroughly examines, with case references, the extent to which the courts apply principles of fairness and equity in job termination cases under the Bangladeshi Labour Act of 2006. The research concludes with insights into the recruitment and termination processes in Bangladesh, highlighting the need for amendments to the current labour legislation to ensure employment stability and economic support for the workforce.
Transgenerational Colonial Trauma and Disordered Eating in the Work of Maaza Mengiste and Igiaba Scego
Authors: Kane Noreen
Published: February 2025

This essay analyzes how Ethiopian American Maaza Mengiste’s novel Beneath the Lion’s Gaze (2010) and Somali Italian Igiaba Scego’s memoir La mia casa è dove sono (My Home Is Where I Am, 2010) represent transgenerational colonial trauma through their female protagonists’ relationships to food. Employing Nicholas Abraham and Maria Torok’s theory of transgenerational haunting, the corporeal transmission of Italian colonial trauma is explored. To supplement classic trauma theory, the work of Afrofeminist scholars who posit the importance of intersubjectivity in approaches to trauma is employed. The essay thus explores how these two literary texts render the legacy of colonial violence visceral through an emphasis on the body, the process of transforming somatic symptoms into narrative, and the necessity of community building to working through generational trauma. In their contribution to the formation of a transnational collective memory of Italian colonialism in Ethiopia and Somalia, the texts invite the reader to consider their position in relation to this trauma.
Definición de una propuesta de uso funcional turístico para el municipio Sancti Spíritus, Cuba
Authors: Acosta Mesa Sandro Felipe , Chacón León Chabely , Díaz Aguiar Eduardo Antonio , Hernández Flores Yoan
Published: February 2025

Actualmente el sector turístico cubano apuesta por el logro de una mayor diversificación de sus productos, adoptando una perspectiva sostenible. De acuerdo con el Plan de Desarrollo Económico y Social del país hasta el 2030, es necesario buscar estrategias que permitan la puesta en valor turístico de los recursos en los territorios. En este escenario se desarrolla la presente investigación que tiene como objetivo general definir una propuesta de uso funcional turístico para el municipio de Sancti Spíritus, destino turístico en desarrollo que ha acumulado una gran experiencia en la recepción y atención de un número considerable de visitantes, pero, a pesar de contar con atractivos de gran impacto sociocultural la oferta de actividades turísticas no es tan diversa y atractiva. Esto ha llevado a que el número de turistas internacionales y los ingresos derivados del turismo sean relativamente inferiores en comparación con ciudades vecinas como Trinidad y Camagüey. La metodología aplicada combina el uso de diferentes métodos, técnicas y herramientas, como el análisis documental, el método analítico-sintético, entrevista no estructurada, tormenta de ideas, métodos estadístico matemáticos y la aplicación de un Focus Group. Ello permitió a los autores la definición de una propuesta sostenible, basada en tres modalidades turísticas a desarrollar con el diseño de dos actividades relacionadas con cada una, así como identificar las potencialidades y limitaciones de cada recurso para su implementación real. Además, permitió diagnosticar las condiciones actuales del municipio, teniendo en cuenta la oferta local, infraestructuras, servicios de apoyo y turísticos.
Analysis of Seismic Hazard Around Rooppur Nuclear Power Plant of Bangladesh
Authors: Rahman S K Anisur , Akbar Md Shawkat
Published: February 2025

The rising expectations for the introduction of nuclear power to solve dire energy shortages and to meet the future increased demand are the priorities for Bangladesh. Nuclear power is a future source of energy; therefore, Bangladesh needs to establish the necessary infrastructure to build a twin unit plant at the Rooppur site, aiming to achieve generation of 2400 MW (e) by the year 2024-2025 respectively. For the realization of a safe and secured project site for the construction of a nuclear power plant, necessary site-specific investigations for the description of geography and demography, geodynamic and seismic conditions, hydrological and morphological characteristics, geological and hydro-geological conditions, meteorological and aerologic situations, man-caused conditions are essential. Procedures are presented for investigating the seismic hazard within the Rooppur Nuclear Power Plant (NPP) construction area. This study reveals the relation between seismic acceleration and potential damage. Such design basis parameters are determined based on the correlation between seismic acceleration versus potential damages due to earthquakes. The geotechnical parameters for the nuclear power project site in Bangladesh have been estimated. The estimated data of the peak ground acceleration and other geophysical parameters described the suitability for the Rooppur NPP. The design basis earthquake safety-related parameters are determined which helps us in determining a suitable nuclear power technology appropriate for Bangladesh.
Bangladesh Journal of Physics, Vol. 30, Issue 2, pp. 69–76, December 2023
Discriminative ability, responsiveness, and interpretability of smoothness index of gait in people with multiple sclerosis
Authors: Castiglia Stefano Filippo , Dal Farra Fulvio , Trabassi Dante , Turolla Andrea , Serrao Mariano , Nocentini Ugo , Brasiliano Paolo , Bergamini Elena , Tramontano Marco
Published: February 2025

Introduction: Gait impairments are common in People with Multiple Sclerosis (PwMS). Several studies have examined the clinometric properties of Inertial Measurement Units (IMUs), with LDLJa identified as a robust metric for gait smoothness. However, its responsiveness and interpretability have not been explored.
Methods: This cross-sectional study at IRCCS Santa Lucia Hospital enrolled 44 PwMS (age: 28-71; EDSS: 0-6) and 43 age- and gait-speed-matched healthy participants (HP). Two physiotherapists conducted assessments with five synchronized IMUs during a 10-meter walk at participants’ preferred speed. Data were collected at baseline (T0) and after 4 weeks of training (T1).
Results: Significant differences in log dimensionless jerk (LDLJa) were found between PwMS and HP in the AP (p < 0.001, d = 0.63), ML (p < 0.001, d = 1.08), and CC (p = 0.03, d = 0.68) directions. PwMS had lower LDLJaAP values (< -4.88) and LDLJaML values (< -5.40) with probabilities of 63% and 76%, respectively. ΔLDLJaML demonstrated good responsiveness to rehabilitation (AUC ~0.80), with improvements >4.02% representing the optimal MCID for clinical improvement in MiniBesTest.
Conclusion: Lower LDLJa values in the AP and ML directions characterize gait smoothness impairment in PwMS. LDLJa in the ML direction is responsive to balance-focused rehabilitation, highlighting its potential for tracking gait disorders and rehabilitation progress.
IMPLEMENTASI METODE RAPID APPLICATION DEVELOPMENT DAN PENGUJIAN KATALON PADA APLIKASI LAPORAN BARANG RUSAK
Authors: Ruhiyat Yayat , Nurfalah Ridan
Published: February 2025

The management of State-Owned Assets (BMN) within the Secretariat General of the National Resilience Council faces challenges in recording and reporting damaged assets. The current manual process leads to delays, data inaccuracies, and hinders effective asset maintenance. This study aims to design and develop the Labarus (Laporan Barang Rusak) application as a digital solution to support faster and more accurate recording and monitoring of damaged BMN assets. The Rapid Application Development (RAD) method was used to accelerate the application development process through an iterative approach that allows for prototyping and immediate validation by users. Application testing was conducted using Katalon to ensure functional compliance with requirements and compatibility across various devices. The outcome of this research is a web-based application that enables users to report damaged goods online, track the status of repairs, and automatically generate damage and repair reports. This application reduce recording errors, speed up the repair process, and support the ongoing digital transformation in Setjen Wantannas. This research contributes by developing a web-based application called LABARUS (Laporan Barang Rusak) to replace the slow and error-prone manual processes, thereby enhancing the efficiency and accuracy of asset management in the Setjen Wantannas.
IMPLEMENTASI YOLOV5 UNTUK DETEKSI KARTU DEBIT: STUDI KASUS PADA KLASIFIKASI BRITAMA DAN SIMPEDES
Authors: Hesananda Rizki , Firmansyah Vian
Published: February 2025

This study aims to develop an object detection model based on YOLOv5 to classify debit card types. With the advancement of financial technology, the need for automated systems to identify debit cards has become essential to enhance transaction efficiency and security. The research methodology involves five main stages: dataset collection, data preprocessing through labeling and resizing to 640 x 640, dataset augmentation, YOLOv5 model training, and model evaluation. The dataset used consists of three categories of debit cards, with a total of 300 images. The results demonstrate that the YOLOv5 model achieves excellent performance with a mean average precision (mAP) of 92.7% and an object loss value of 0.08. The high mAP value indicates the model’s capability to accurately recognize objects, while the low object loss value reflects minimal detection errors during testing. In conclusion, YOLOv5 has proven to be reliable for application in debit card detection systems. This study provides significant contributions to the development of automation systems in the financial sector, particularly in improving the efficiency and accuracy of identification processes. It is hoped that this research will serve as a foundation for further studies with broader datasets, the application of more advanced augmentation techniques, and the utilization of more sophisticated hardware to enhance model performance.
Analisis Variasi Type Blade Impeller Produk 3d Printing Dengan Filamen St-Pla Pada Waterjet Thruster Mini Terhadap Performa Daya Dorong Dengan Metode Taguchi
Authors: Hasdiansah Hasdiansah , Stevanus Seva Marcellino , Oktavianto Mario , Ahadiatullah Wassi , Muhammad Ahlan Maulidiansyah  , Viniolita Thala
Published: February 2025

Bangka Belitung Islands Province which consists of two islands, namely Bangka Island and Belitung Island, with such a geographical position, transportation is needed to facilitate connecting the two islands. The innovation of 3D printing used in transportation is in the form of a Waterjet Thruster using ST PLA (Super Tough Polylactic Acid) filament as a material for making parts of the Waterjet Thruster in the form of Inlets, Impeller, and Turbo Outlets. The Taguchi method is used to randomize the levels and factors in this test so that later the right combination can be found. In the tests that have been carried out, the highest results were found in experiment 8 with variations of 13 blade inlets, impeller 3 blade Type 2 and 9 Blade Outlet with thrust of 2.226 Newton while for the lowest value in Experiment 7 with variations of 13 Blade Inlet, Impeller 3 Blade Type 1 and Outlet 13 Blade with thrust 1.245 Newton.
Pengaruh Perendaman Cairan NaOH dan Volume Serat Terhadap Pengujian Impak Serat Gambas
Authors: Irawan Rizki , Napitupulu Robert , Sirwansyah Suzen Zaldy
Published: February 2025

Penggunaan komposit serat berasal dari alam yang sifatnya tidak kalah dari serat sintetis dan ramah lingkungan sudah banyak diteliti. Serat alam dari tanaman gambas banyak dijumpai di Indonesia namun masih sedikit diteliti sebagai komposit. Tujuan penelitian ini untuk mengetahui pengaruh perendaman cairan NaOH 3% dan 5% dengan fraksi volume serat 20%, 30% dan 40% dalam waktu perendaman selama 2 jam terhadap serat gambas. Komposit dibuat menggunakan metode hand lay-up yang dikombinasikan dengan metode full faktorial dengan 2 faktor dan 3 level di faktor pertama kemudian 2 level pada faktor kedua yang dilakukan 3 kali pengulangan, sehingga didapatkan 18 data. Dari penelitian nilai tertinggi kekuatan impak yaitu 0.00493 J/mm2 pada  fraksi volume 40% dengan perendaman cairan NaOH 3% . Berarti adanya pengaruh peningkatan fraksi volume serat maka kekuatan impak komposit akan semakin baik. Sedangkan nilai terendah terdapat pada fraksi voume 20% dengan 3% NaOH yaitu 0.00173 J/mm2. Berdasarkan penelitian sebelumnya hasil pengujian impak ini masih belum bisa digunakan sebagai pengganti bahan pembuatan helm SNI yang memiliki nilai kekuatan impak 0,00972 J/mm2.
Konversi Suara Ke Teks Menggunakan Google Voice Sebagai Alat Bantu Komunikasi Tunarungu
Authors: Ocsirendi Ocsirendi , Wijaya Sastra , Aditya Decxa , Dwisaputra Indra
Published: February 2025

The ability to hear is a gift given by God to humans. By hearing, a person will be able to speak and communicate, but some of them are born with hearing loss or are known as deaf. Deafness is a condition where the sufferer loses their hearing so that deaf people experience difficulty in communicating with the person they are talking to because of limited hearing. The deaf communicate using sign language when communicating with the person they are talking to. The problem is that not all deaf interlocutors can use sign language to communicate. Hearing limitations cause deaf people to experience difficulties in interacting in society and the world of education because it is difficult for them to adapt to their surrounding environment. So in this research a tool was created that can make it easier for deaf people to communicate with normal people via an LCD display. By utilizing Google Voice as a user voice recording feature connected to the Android application. As a result of the tool that has been created, users can send voice messages via the Google Voice feature in the Android application, the voice messages that have been sent are then converted into text displays on the LCD, and the text that has been sent will be saved in the application history feature.
Pengembangan Game Edukasi Tentang Mata Menggunakan Metode Research And Development Untuk Kelas IIX
Authors: Andriyanto Sidhiq , Afriansyah Riki , Syafiq Ikmal
Published: February 2025

Pembelajaran berbasis teknologi informasi telah menjadi fokus utama dalam meningkatkan efektivitas proses pendidikan di berbagai institusi. Latar belakang penelitian ini didorong oleh kebutuhan SMP Negeri 2 Parittiga untuk memanfaatkan teknologi informasi sebagai alat pembelajaran yang inovatif dan menarik bagi siswa kelas IX. Hal itu disebabkan karena menurunnya minat belajar siswa terhadap materi IPA di SMP Negeri 2 Parittiga. Penelitian ini bertujuan untuk mengembangkan sebuah aplikasi game edukasi menggunakan metode Research and Development (R&D) dengan Game Development Life Cycle (GDLC) sebagai metode pengembangan. Metode GDLC dipilih untuk memastikan pengembangan aplikasi game edukasi dilakukan secara terstruktur dan efisien. Perancangan aktivitas pengguna dalam aplikasi menggunakan activity diagram. Sedangkan perancangan antarmuka menggunakan perangkat lunak Canva. Pengembangan aplikasi game ini menggunakan perangkat lunak Unity 2D. Hasil dari penelitian ini adalah sebuah aplikasi game edukasi yang berisi menu sliding puzzle, materi, dan soal latihan untuk siswa kelas IX di SMP Negeri 2 Parittiga. Uji validasi menggunakan metode Aiken untuk validasi materi menghasilkan skor sebesar 0,9286, sementara validasi media menghasilkan skor sebesar 0,8518. Dengan kriteria sangat tinggi, dapat disimpulkan bahwa aplikasi ini sangat layak digunakan oleh siswa kelas IX sebagai alat pembelajaran. Diharapkan penelitian ini dapat meningkatkan kualitas pembelajaran di SMP Negeri 2 Parittiga.
PROSES PEMBUATAN PLTB HORIZONTAL
Authors: Rian Saputra Kiki , Sunaryo Sunaryo , Hakim Legisnal
Published: February 2025

The increase in electrical energy demand occurs due to high population growth, but this is not balanced with the increase in the supply of electrical energy, the installed power capacity remains the same, while community needs continue to increase. PLTMH (Microhydro Power Plant) and PLTB (Wind Power Plant) are power plants with renewable energy sources. This is seen from an economic and security perspective. Because currently fossil energy reserves are decreasing while the need for fuel consumption continues to increase, this has an impact on the energy crisis.
PLTB has the main advantage because of its renewable nature. This means that exploitation of this energy source will not reduce wind resources like the use of fossil fuels. Based on considerations for the fulfillment of electrical energy, an economical, safe and reliable generator was built.
The Path of Digitalization for Public Healthcare Institutions in the Province of Annaba (Eastern Algeria)
Authors: Khoualed Aboubaker , Lebza Abdelghani , Khoualed Mouloud , Boumanka Djihed
Published: February 2025

This study attempts to discuss the digitalization of Algeria's health care sector, focusing on public hospital institutions operating in Annaba province as a case study. To achieve the aforementioned objective, a descriptive methodology was employed, utilizing various data, statistics, and reports relevant to the topic, obtained through fieldwork conducted at the Directorate of Health and Population in the province of Annaba. The results of the field study indicated that considerable efforts had been made to digitize public hospital institutions in Annaba province, which had contributed to improving the digitalization of public hospital institutions in the province to nearly 50 per cent. However, many challenges remain in the digitalization process in the province's health-care sector, most of which are technological, administrative, human, financial and legislative in nature, and must be addressed with rapid solutions.
Development, Reforms, and Challenges of Japan's Digital Economy
Authors: Shi Jiandong
Published: February 2025

Japan's digital economy, the fourth largest globally, has undergone significant transformation. This article explores its development from early stages to the current digital era, highlighting advances in infrastructure and global trade contributions. Despite its progress, Japan faces challenges such as an aging population, digital talent shortages, and slow digital transformation. Recent government reforms under the Kishida administration aim to enhance competitiveness and bridge gaps with leading digital economies like the US and China. Continued investment and policy support are crucial for sustaining growth and addressing these challenges.

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Aircrew Life Support Equipment Experiences in Canadian Military Operational Women Pilots
Authors: Thorgrimson Joelle , Breeck Karen
Published: February 2025

INTRODUCTION: Women continue to remain a minority among Canadian Armed Forces (CAF) operational pilots, equaling <2% in 2000 and <6% in 2022. Limited sex- and gender-specific research on aeromedical support needs has been completed on this population. This initial manuscript examines aircrew life support equipment (ALSE) and musculoskeletal issues within a larger data set.

METHODS: This hypothesis-generating, mixed-methods, epidemiological study used a community-based participatory research approach, involving semi-structured interviews with women who were current CAF members and had ever served as operational pilots. Interviews included aviation occupational interest and medical questionnaires, as well as medical record reviews, which were analyzed descriptively and thematically.

RESULTS: Demographics included 51 of 88 (58%) of CAF operational women pilots from 15 different platforms, with a mean service time of 20 yr (range from 8–41 yr) and mean total flying hour estimation of 2400 h (range of 500–8500 h). At least one piece of ALSE did not fit properly in 82% of subjects, and 52% of this group reported prolonged health impacts. Almost all subjects had musculoskeletal issues, with 35% resulting in a flying impairment.

DISCUSSION: This snapshot looks at sex- and gender-specific aeromedical experiences of operationally trained CAF women pilots, which can be used to guide research, policy, training, and education to improve their aeromedical experiences specifically with ALSE. Sex- and gender-based analysis and optimization could help improve equipment procurement and prevent unnecessary injury and illness in female pilots due to their ALSE.

Thorgrimson J, Breeck K. Aircrew life support equipment experiences in Canadian military operational women pilots. Aerosp Med Hum Perform. 2025; 96(2):116–120.
Emerging Smart Contact Lens Technology for Wearable Biosensors and Drug Delivery: Biomarkers in Tears
Authors: Psoma Sotiria D. , Ndege Geoffrey
Published: February 2025

There is a growing need for personalised medicine to manage and prevent diseases, as well as to monitor patient health continuously, even outside the hospital setting. Biosensor devices hold a huge potential in addressing this need and can aid in decentralising healthcare by offering faster disease diagnosis and prognosis. Integrating biosensors with wearables such as contact lenses has widened their scope of application and addresses some key challenges associated with other techniques, such as invasive monitoring and the need for bulky equipment. Indeed, traditional approaches tend to be invasive, such as those used for diabetes management that require regular finger pricks to obtain a blood sample to monitor glucose. In contrast, smart contact lenses use tears, which are naturally and regularly replenished. Tears are rich in biomarkers such as proteins and electrolytes, and variations in their concentration can be monitored non-invasively to offer valuable information related to the onset or progression of disease. In addition, intraocular pressure monitoring for glaucoma has been achieved using contact lenses utilising nanomaterials and microfluidics technology. With these promising successes, current researchers seek to address neurodegenerative diseases and cancer diagnosis and prognosis using contact lenses. Contact lenses can also be used as ocular drug delivery systems as they possess 10 times more drug bioavailability advantage than topical administration. By combining contact lenses with a sensing platform, a power source, an antenna, a data transmitter, and a display, smart contact lenses have become more than vision collection devices. Although considerable challenges remain to be tackled because we are still at the initial stages of this technological advancement, the number of diseases and drugs that could potentially be sensed and delivered, respectively, seems vast.
Does Civic Education Improve Ethnic Tolerance?
Authors: Siow Jeremy
Published: February 2025

While current research shows that civic education improves multiple political outcomes, its impact on ethnic tolerance remains uncertain. Civic education may foster outgroup tolerance by teaching respect for diversity and promoting a shared national identity, but it may be counterproductive if it emphasizes ethnic nationalism. I investigate this question by analyzing (1) a reform in Singapore that quasi-randomly assigned students to a new civic education course and (2) the International Civic and Citizenship Education Study (ICCS) data. Both studies reveal no improvement in ethnic tolerance from civic education. One potential explanation is that the effectiveness of civic education depends on classroom openness. A reexamination of the Singapore case and ICCS data supports this conjecture: civic education improves ethnic tolerance in open classroom settings, while its effects are negligible in restrictive environments. These results underscore the pivotal role of pedagogy in amplifying the positive impact of civic education on ethnic tolerance.
Routes into internationalizing and de-colonizing the Curriculum in Political Science 10 years on from EPS symposium: the potential role of feminist pedagogies
Authors: Gann Rose
Published: February 2025

This presentation reflects on the implications of the shift from internationalising the curriculum to to de-colonising the curriculum for Political Science, taking as an example the re-working of a module on Feminist Theory, taught at a large modern UK university - exploring the role of feminist pedagogies in transforming the politics curriculum
MONet: cancer driver gene identification algorithm based on integrated analysis of multi-omics data and network models
Authors: Ren Yingzan , Zhang Tiantian , Liu Jian , Ma Fubin , Chen Jiaxin , Li Ponian , Xiao Guodong , Sun Chuanqi , Zhang Yusen
Published: February 2025

Cancer progression is orchestrated by the accrual of mutations in driver genes, which endow malignant cells with a selective proliferative advantage. Identifying cancer driver genes is crucial for elucidating the molecular mechanisms of cancer, advancing targeted therapies, and uncovering novel biomarkers. Based on integrated analysis of Multi-Omics data and Network models, we present MONet, a novel cancer driver gene identification algorithm. Our method utilizes two graph neural network algorithms on protein-protein interaction (PPI) networks to extract feature vector representations for each gene. These feature vectors are subsequently concatenated and fed into a multi-layer perceptron model (MLP) to perform semi-supervised identification of cancer driver genes. For each mutated gene, MONet assigns the probability of being potential driver, with genes identified in at least two PPI networks selected as candidate driver genes. When applied to pan-cancer datasets, MONet demonstrated robustness across various PPI networks, outperforming baseline models in terms of both the area under the receiver operating characteristic curve and the area under the precision-recall curve. Notably, MONet identified 37 novel driver genes that were missed by other methods, including 29 genes such as APOBEC2, GDNF, and PRELP, which are corroborated by existing literature, underscoring their critical roles in cancer development and progression. Through the MONet framework, we successfully identified known and novel candidate cancer driver genes, providing biologically meaningful insights into cancer mechanisms.
dyphAI dynamic pharmacophore modeling with AI: a tool for efficient screening of new acetylcholinesterase inhibitors
Authors: Hayek-Orduz Yasser , Acevedo-Castro Dorian Armando , Saldarriaga Escobar Juan Sebastián , Ortiz-Domínguez Brandon Eli , Villegas-Torres María Francisca , Caicedo Paola A. , Barrera-Ocampo Álvaro , Cortes Natalie , Osorio Edison H. , González Barrios Andrés Fernando
Published: February 2025

Therapeutic strategies for Alzheimer’s disease (AD) often involve inhibiting acetylcholinesterase (AChE), underscoring the need for novel inhibitors with high selectivity and minimal side effects. A detailed analysis of the protein-ligand pharmacophore dynamics can facilitate this. In this study, we developed and employed dyphAI, an innovative approach integrating machine learning models, ligand-based pharmacophore models, and complex-based pharmacophore models into a pharmacophore model ensemble. This ensemble captures key protein-ligand interactions, including π-cation interactions with Trp-86 and several π-π interactions with residues Tyr-341, Tyr-337, Tyr-124, and Tyr-72. The protocol identified 18 novel molecules from the ZINC database with binding energy values ranging from −62 to −115 kJ/mol, suggesting their strong potential as AChE inhibitors. To further validate the predictions, nine molecules were acquired and tested for their inhibitory activity against human AChE. Experimental results revealed that molecules, 4 (P-1894047), with its complex multi-ring structure and numerous hydrogen bond acceptors, and 7 (P-2652815), characterized by a flexible, polar framework with ten hydrogen bond donors and acceptors, exhibited IC₅₀ values lower than or equal to that of the control (galantamine), indicating potent inhibitory activity. Similarly, molecules 5 (P-1205609), 6 (P-1206762), 8 (P-2026435), and 9 (P-533735) also demonstrated strong inhibition. In contrast, molecule 3 (P-617769798) showed a higher IC50 value, and molecules 1 (P-14421887) and 2 (P-25746649) yielded inconsistent results, likely due to solubility issues in the experimental setup. These findings underscore the value of integrating computational predictions with experimental validation, enhancing the reliability of virtual screening in the discovery of potent enzyme inhibitors.
Association of lung health and cardiovascular health (Life’s Essential 8)
Authors: Zhang Wanjia , Zou Menglong , Liang Junyao , Zhang Dexu , Zhou Man , Feng Hui , Tang Chusen , Xiao Jie , Yi Zhan , Xu Yin
Published: February 2025

Background

Cardiorespiratory health issues often intersect. This study explored the relationship between lung health and the recently updated Cardiovascular Health Measure (Life’s Essential 8).

Methods

Data from the 2007–2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. Three cohorts were included: lung disease in the Main cohort (N = 9,772), lung function in the Spirometry sub-cohort (N = 3,896), and respiratory symptoms in the Respiratory Symptoms sub-cohort (Age > 40) (N = 3,449). LE8 scores were used as both continuous and categorical variables (0–49, 50–79, 80–100). Weighted multivariate regression analyses examined the correlations between LE8 and lung health, and weighted restricted cubic spline (RCS) regression analyzed potential non-linear relationships. Subgroup analysis was conducted to verify stability.

Results

Overall lung health was better in the high LE8 group than in the low LE8 group. In the fully adjusted model, the high LE8 group had significantly lower odds of asthma (OR = 0.42; 95% CI = 0.29, 0.59) and chronic bronchitis (OR = 0.27; 95% CI = 0.15, 0.49) compared to the low LE8 group. Regarding lung function, each 10-point increase in LE8 was associated with an increase of 50 ml in FEV1 (Beta = 50; 95% CI = 32, 67) and 56 ml in FVC (Beta = 56; 95% CI = 32, 79). Among middle-aged and older adults (age > 40), the high LE8 group had significantly lower odds of respiratory symptoms, including cough (OR = 0.23; 95% CI = 0.12, 0.46), phlegm (OR = 0.42; 95% CI = 0.19, 0.90), and wheezing (OR = 0.29; 95% CI = 0.15, 0.54). RCS analyses demonstrated a non-linear negative correlation between LE8 and cough, sputum, and wheeze. Subgroup and sensitivity analysis suggested stability.

Conclusion

Life’s Essential 8 (LE8) scores are positively associated with lung health in the US population. These findings provide a valuable reference for maintaining overall cardiorespiratory health.
Energy Scheduling of Hydrogen Hybrid UAV Based on Model Predictive Control and Deep Deterministic Policy Gradient Algorithm
Authors: Li Haitao , Wang Chenyu , Yuan Shufu , Zhu Hui , Li Bo , Liu Yuexin , Sun Li
Published: February 2025

Energy scheduling for hybrid unmanned aerial vehicles (UAVs) is of critical importance to their safe and stable operation. However, traditional approaches, predominantly rule-based, often lack the dynamic adaptability and stability necessary to address the complexities of changing operational environments. To overcome these limitations, this paper proposes a novel energy scheduling framework that integrates the Model Predictive Control (MPC) with a Deep Reinforcement Learning algorithm, specifically the Deep Deterministic Policy Gradient (DDPG). The proposed method is designed to optimize energy management in hydrogen-powered UAVs across diverse flight missions. The energy system comprises a proton exchange membrane fuel cell (PEMFC), a lithium-ion battery, and a hydrogen storage tank, enabling robust optimization through the synergistic application of MPC and DDPG. The simulation results demonstrate that the MPC effectively minimizes electric power consumption under various flight conditions, while the DDPG achieves convergence and facilitates efficient scheduling. By leveraging advanced mechanisms, including continuous action space representation, efficient policy learning, experience replay, and target networks, the proposed approach significantly enhances optimization performance and system stability in complex, continuous decision-making scenarios.
Pneumonia Disease Detection Using Chest X-Rays and Machine Learning
Authors: Usman Cathryn , Rehman Saeed Ur , Ali Anwar , Khan Adil Mehmood , Ahmad Baseer
Published: February 2025

Pneumonia is a deadly disease affecting millions worldwide, caused by microorganisms and environmental factors. It leads to lung fluid build-up, making breathing difficult, and is a leading cause of death. Early detection and treatment are crucial for preventing severe outcomes. Chest X-rays are commonly used for diagnoses due to their accessibility and low costs; however, detecting pneumonia through X-rays is challenging. Automated methods are needed, and machine learning can solve complex computer vision problems in medical imaging. This research develops a robust machine learning model for the early detection of pneumonia using chest X-rays, leveraging advanced image processing techniques and deep learning algorithms that accurately identify pneumonia patterns, enabling prompt diagnosis and treatment. The research develops a CNN model from the ground up and a ResNet-50 pretrained model This study uses the RSNA pneumonia detection challenge original dataset comprising 26,684 chest array images collected from unique patients (56% male, 44% females) to build a machine learning model for the early detection of pneumonia. The data are made up of pneumonia (31.6%) and non-pneumonia (68.8%), providing an effective foundation for the model training and evaluation. A reduced size of the dataset was used to examine the impact of data size and both versions were tested with and without the use of augmentation. The models were compared with existing works, the model’s effectiveness in detecting pneumonia was compared with one another, and the impact of augmentation and the dataset size on the performance of the models was examined. The overall best accuracy achieved was that of the CNN model from scratch, with no augmentation, an accuracy of 0.79, a precision of 0.76, a recall of 0.73, and an F1 score of 0.74. However, the pretrained model, with lower overall accuracy, was found to be more generalizable.