bluuebunny/crossref_metadata_2025 huggingface dataset:
Evolving Field of Immunotherapy: Pioneering New Paths in Small-Cell Lung Cancer
Authors: Hazim Antonious Ziad , Leventakos Konstantinos , Ernani Vinicius
Published: February 2025

Small-cell lung cancer (SCLC) is an aggressive form of lung cancer that displays rapid proliferation and early metastatic potential. It accounts for approximately 15% of lung cancers and is strongly associated with tobacco carcinogens. Despite patients' initial response to systemic therapy, the majority develop early resistance and relapse. The outcomes of patients with metastatic SCLC are poor, prompting the need for new therapies. Over the past decade, the treatment landscape for NSCLC (non-small cell lung cancer) has significantly changed with the immergence of novel targeted therapies and immunotherapies. However, inroads of these therapies into SCLC have posed significant challenges due to its molecular and genomic heterogeneity. Despite the challenges of this disease, promising new first-in-class immunomodulatory agents have emerged and are currently undergoing extensive research. Herein, we review the current treatment paradigm of immunotherapy in SCLC and discuss future directions of this evolving field.
Gain of thermal tolerance through acclimation is quicker than the loss by de-acclimation in the freeze-tolerant potworm, Enchytraeus albidus
Authors: Touzot Morgane , Holmstrup Martin , Sørensen Jesper Givskov , Slotsbo Stine
Published: February 2025

Environmental temperature variation, naturally occurring or induced by climate change, leads organisms to evolve behavioural and physiological responses to handle thermal fluctuations. Among them, phenotypic plasticity is considered a fundamental response to natural thermal variations. Nevertheless, we know little about the rate of thermal acclimation responses and the physiological mechanisms underpinning phenotypic plasticity in freeze-tolerant invertebrates. We assessed the temporal dynamics of heat and cold tolerance plasticity in the freeze-tolerant potworm Enchytraeus albidus following thermal acclimation. Acclimation responses were investigated in worms cultured at 5 or 20 °C and acclimated for varying duration (hours to weeks) at the same temperature or relocated to the opposite temperature. The rate of phenotypic responses of thermal tolerance was evaluated by assessing survival after exposure to high and low stressful temperatures. Worms cultured at 5 °C were more cold tolerant and less heat tolerant than worms cultured at 20 °C. The plasticity of thermal tolerance in E. albidus varied in scope and response time according to both culture and acclimation temperatures: acclimation at 20 °C of worms cultured at 5 °C increased heat survival within a day and reduced cold tolerance in 5 days, while acclimation at 5 °C of worms cultured at 20 °C did not affect heat survival but considerably and quickly, within a day, increased cold tolerance. Effects of acclimation were also assessed on worm's membrane phospholipid fatty acid (PLFA) composition and glycogen content and showed that improved tolerance was linked to changes in worm's membrane PLFA desaturation and chain length.
Non-compliance with residential disability care regulations in Ireland: a retrospective analysis of frequency and causes
Authors: Dunbar Paul , Browne John , Keyes Laura
Published: February 2025

Background Non-compliance with care regulations is common but underlying causes are poorly understood. Methods We used inspection data to calculate the frequency of non-compliance in residential disability services (RDS) in Ireland and characterised the non-compliance using thematic analysis. Results The median level of non-compliance across all centres was 27% (interquartile range 13% to 46%). Of the 1263 centres inspected 13 (1%) were compliant and 100 (8%) were non-compliant with all regulations inspected. Eight themes were identified in a sub-sample of non-compliant inspections. The theme ‘insufficient resources’ appeared most frequently, second was ‘governance and management failings’. The theme ‘poor documentation quality’ had the broadest explanatory reach, linked to non-compliance in 72% of regulations. Conclusion Non-compliance with regulations is common in Irish RDS. Themes describing non-compliance provide insight to service providers and regulators to develop quality improvement initiatives. Interventions focusing on resources, documentation quality and governance are most likely to stimulate broad-based improvement across all regulations.
Winning the War and Losing the Peace: An Analysis of Counter Boko Haram Terrorism in Northeast Nigeria
Authors: EGBUTA Dr Ugwumba
Published: February 2025

Abstract
This paper examines the multifaceted challenges and complexities surrounding the Nigerian government's counter-terrorism efforts. The study delves into the paradoxical situation of "winning the war but losing the peace," wherein the Nigerian military has achieved significant successes in degrading the operational capacity of Boko Haram, yet has struggled to establish a sustainable peace. It draws on various primary and secondary sources to analyze the historical context, socio-political dynamics, and strategic aspects of the counter-terrorism campaign. It evaluates both the military's kinetic operations and non-kinetic initiatives implemented to address the root causes of Boko Haram's rise, focusing on their effectiveness and limitations. It highlights the unintended consequences of military-centric strategies, including alleged human rights issues, displacement of populations, and exacerbation of grievances. It underscores the importance of a holistic approach that integrates military efforts with long-term socio-economic development, community engagement, and judiciary and security sector reforms to prevent the resurgence of extremism. In analyzing the complex interplay between security, development, and governance, the study contributes to the understanding of the intricate challenges that emerge when addressing terrorism issues in a fragile state context. It emphasizes the need for a nuanced, context-specific approach that goes beyond short-term military gains to ensure sustainable peace and stability. The findings of this study hold implications not only for Nigeria but also for other nations facing similar challenges, providing insights into the delicate balance between winning the war against terrorism and securing a lasting peace.
Keywords: Terrorism, Counterterrorism, Sustainable Peace, Kinetic Operations, Human rights abuse, Displacement.
Coup d’état in West Africa
Authors: Sule Babayo , Echa Attah Noah , Sambo Usman , Lummo Kachalla Bala
Published: February 2025

Recent developments in some West African countries are a classic case of reversal of democratic rule and have raised doubts about the feasibility of democracy in Africa. This study examines the factors that have led to the resurgence of coups d'état and the possibility of constructing a new typology of coups d'état and military rule in 21st century Africa. Documented data sources were used for the study and the method of analysis was content analysis. The study compared the nature and characteristics of recent coups with those of the past and the predominant causes. The study made an attempt to identify the gap in the theories by examining the various theories on military interventions, postulating an alternative theory that can better explain the current phenomenon different from those of the 1980s. The study is an early warning that military rule could re-emerge in West Africa and Africa.
Militias and Armed Conflicts in West Africa
Authors: Cann Alex
Published: February 2025

Militias have been  a significant  feature  of   many  armed conflicts in  Africa. Their roles have influenced the outcome of these conflicts in both time and space. While many are deliberately recruited for purposeful tasks and missions, others emerge and mobilize to protect themselves and their communities against the inhumane treatment meted out to them by other armed groups. Militias are recruited, trained, and employed by both state and non-state actors to prosecute armed conflicts.  While some have contributed significantly to the victory of their allies many have been defeated. In both cases there have been huge loss of lives and properties and in many cases injuries to innocent civilians. Unlike the military which is professionally recruited, trained, armed, administered, and guided by doctrines, many militias are not.  Therefore, they employ crude recruitment, operational, administrative, and logistics methods to prosecute the armed conflict. These methods have evolved and therefore have influenced their operational capabilities and outcomes. This article examines the role of militias in West African conflicts, exploring their origins, motivations, and impacts on both local populations and broader geopolitical stability.
Review: Africa and Its Historical and Contemporary Diasporas
Authors: Szeremley Csaba
Published: February 2025

The volume Africa and Its Historical and Contemporary Diasporas, edited by Tunde Adeleke and Arno Sonderegger, is a fundamental collection that thoroughly examines various aspects of Africa’s historical and contemporary diasporas, particularly emphasizing their global significance. The authors adopt different approaches to exploring the diaspora's history and present-day challenges, covering economic, political, cultural, and religious factors related to the African continent and its diaspora.The work plays a pioneering role in shifting the concept of diaspora beyond the history of slavery and colonization, placing it within broader, modern contexts. It is particularly important for readers interested in diaspora studies, postcolonial theories, and African history, as it provides a comprehensive understanding of African identities, cultures, and communities' roles in today’s globalized world.
La praxis del beneficium condemnationis en el entorno obligacional de la familia romana
Authors: Prado Rodríguez Juan Carlos
Published: February 2025

In the Roman civil procedure per formulas, it was admitted that certain debtors were condemned to pay their debts to the limit of their possibilities, with the obligation to complete what was due as soon as their economic situation improves. Among these debtors were the emancipated filius, disinherited or who abstained himself from inheritance, at the demand of the creditors to whom they were bound ex contractu when they were subject to paternal authority. Likewise, the pater familias and the patronus, before the claim of the emancipated filius and the libertus, respectively. Therefore, the aim of this research is to show the praxis of the beneficium condemnationis in the Roman family obligatory environment, highlighting the reasons and principles that were at the basis of its concession, such as aequitas, reverentia or gratitude. In order to do so, some parameters that allowed the iudex proceed to determine the quantum condemnationis will be considered and the posible application to analyzed cases.
Talla baja asociado a errores de refracción en escolares de Muquiyauyo, Perú.
Authors: Huaman Guadalupe Edith Rosana , CRISTÓBAL TERREROS Gustavo , Marmolejo Gutarra Doris , PAITAN ANTICONA Elizabeth , CRISTOBAL TERREROS Gustavo , Yallico Consuelo
Published: February 2025

Objetivo: Determinar la asociacion entre talla baja y errores de refraccion  en niños de 6 a 11 años de edad de la Institución Educativa Román Amanso Montero del distrito de Muquiyauyo. Metodologia: Se trabajó con la población constituís por 250 niños y la muestra conformada por 215 estudiantes de escolares, siendo un estudio, analítico observacional transversal, donde el método utilizado para la recolección de datos fue la observación especializada mediante una ficha de recolección de datos de medición antropométrica y refracción (medida de la vista con autokerato-refractometro). Resultado: De los 215 niños evaluados 158 niños presentan errores de refracción en niños de 6 a 11 años; de los 158 niños con errores de refracción significativo ameritó corrección óptica, 17 tuvieron miopía, hipermetropía 9, astigmatismo 21, miopía y astigmatismo32, hipermetropía y astigmatismo 79.Los resultados más resaltantes al respecto al análisis bivariado de talla baja y miopía, astigmatismo, hipermetropía se encontraron que los niños, niñas que tienen talla baja se asociaron significativamente con el astigmatismo RP =2.33 IC (1.44,3.78); es decir, que los que presentan talla baja tienen dos veces más el riesgo de   presentar astigmatismo. Los niños que presentan talla baja se asocian significativamente con errores de refracción RP 6.81 (2.57,18.1) P=<0.01. Conclusión: Se encontró que los niños escolares con talla baja tienen 6 veces más el riesgo de presentar errores de refracción.
Health equality radio
Authors: Perry Alison Gabrielle , Beja Humphrey
Published: February 2025

Alison Perry and Humphrey Beja discuss HER Radio 5XX, a virtual ‘radio’ show that went live from London and Kampala to explore health inequalities in the UK and Uganda
How to manage employees who take excessive days off because of sickness
Authors: Guilford Greg , Bernstein Adam
Published: February 2025

Greg Guilford and Adam Bernstein discuss how to address the issue of excessive sickness absences fairly and in compliance with the law.
Using AI To Build Next-Gen Wireless Systems
Authors: Tyler Neil
Published: February 2025

How can artificial intelligence be used to design the next-generation of wireless systems?
Good Things In Store For Those Who Connect
Authors: O’Shaughnessy Paul
Published: February 2025

Why a connected IoT infrastructure is going to be critical when it comes to creating an efficient battery energy storage system.
Delivering Space Repair Capabilities
Authors: Tyler Neil
Published: February 2025

How the Satellite Applications Catapult together with Vicon is working to prolong the life of satellites.
Guiding Light
Authors: Francis Trinity
Published: February 2025

Minimising weight is a common goal for engineering teams seeking to optimise vehicle dynamics and efficiency – one that is made all the more challenging due to the weight of EV powertrains. OEMs explain how they are achieving weight reductions in all components, from body to chassis, to suspension
Pemodelan Data Kemiskinan di Pulau Sumatera dengan Regresi Multilevel Spline Linear Truncated
Authors: Davala Muhammad Ridzky , Annisa Nurul Mutiara , Siswanto Siswanto , Kalondeng Anisa
Published: February 2025

Poverty is one of the world's biggest challenges that is still a problem, both in developing and developed countries, including Indonesia. Around 27.5 million people live below the national poverty line in Indonesia. Because it is the largest archipelago, poverty problems in each region also vary, including on the Sumatra Island. One of the efforts to alleviate poverty can be done through identifying factors that affect the percentage of poor population using truncated linear spline multilevel regression model. Multilevel modeling is a statistical approach specifically used to analyze data with a two-level structure. This approach allows an understanding of the contribution of individual and group-level factors to the response variable. The predictor variables considered are per capita expenditure, open unemployment rate, and human development index at the district/city level (level-1), as well as population growth rate and economic growth rate at the provincial level (level-2). The results of this study show that the best multilevel regression model at level-1 uses three knot points, while at level-2 it uses two knot points. The factors that affect PPM in Sumatra Island in 2021 at level-1 are per capita expenditure and at level-2 are population growth rate and economic growth rate. The factors that affect percentage of poor population in Sumatra Island in 2021 are expected to provide a more in-depth view of the socio-economic conditions on the island of Sumatra.
Analisis Autoregressive Integrated Moving Average (ARIMA) dengan Intervensi Double Input pada Prediksi Harga Saham
Authors: Maulidya Gita Arinda , Satyahadewi Neva , Huda Nur'ainul Miftahul
Published: February 2025

Intervention analysis is the time series analysis used in a time series model that experiences an intervention event. Intervention is an event that can cause time series data to change patterns caused by external or internal factors such as changes in government policy, advertising promotions, environmental regulations, and others. This research uses the ARIMA analysis method of double input step function intervention with daily data on the closing share prices of PT Adaro Energy Indonesia for the period 7 March 2022 to 7 March 2023 because in that period there are two points that are thought to be interventions that have an impact on changes in the ADRO’s share prices over a long period of time. The aim of this research is to analyze the intervention ARIMA model and predict the closing price of PT Adaro Energy Indonesia for the next five-days period. The ARIMA analysis steps are based on the ARIMA model through the process of stationarity data (variance and mean), order identification, parameter estimation, and diagnostic examination. The best ARIMA model used to predict ADRO's closing share price is the ARIMA (2,1,2) model, which is obtained based on the smallest AIC, MAPE, and RMSE values. The prediction results in this research show that the predictions produced for the next five-days period are classified as very good because they have a MAPE value on training data of 1,96% and a MAPE value on testing data of 1,74%.
February 2025 Medical Image of the Month: Unexpected Complications of Transjugular Intrahepatic Portosystemic Shunt (TIPS)
Authors:   SSM Health, Mount Vernon, IL USA, Ali Abdulmonam
Published: February 2025

No abstract available. Article truncated after 150 words. A 55-year-old woman with cirrhosis secondary to alcohol use disorder presented to the emergency department with worsening shortness of breath, orthopnea, and two recent syncopal episodes with seizure-like activity. She had undergone a transjugular intrahepatic portosystemic shunt (TIPS) procedure for refractory ascites one month prior. On arrival, she was hemodynamically stable but tachypneic (respiratory rate 22 bpm) with an SpO2 of 90% on room air. Her jugular venous pressure (JVP) was elevated. Chest X-ray showed bilateral pulmonary infiltrates. CT angiography (Figure 1) revealed bilateral patchy airspace disease with a central distribution and pleural effusions, suggesting alveolar edema. Abdominal imaging confirmed liver disease, ascites, and a TIPS. Laboratory tests revealed negative respiratory viral and SARS-CoV-2 PCR tests, ammonia was normal, BNP of 427 pg/mL, normal troponins, sodium 138 mmol/L, potassium 3.7 mmol/L, and procalcitonin 0.23 ng/mL. Blood and sputum cultures were collected. An electrocardiogram (ECG, figure-2B) showed sinus rhythm with QTc …
Low-loss and broadband silicon-based multimode waveguide crossing at 2 μm using 2-D sub-wavelength holey metamaterials
Authors: Ni Bin , Xu Hao , Luo Chenyang , Wu Shengbao , Xiong Jichuan
Published: February 2025

Silicon-based multi-mode optical waveguide crossings with small size and high performance are crucial components for building photonic integrated circuits, but almost all the current devices operate around the near-infrared bands of 1.31 μm and 1.55 μm. To further enhance communication capacity, in this paper, a multimode (e.g., TE0-TE2) waveguide crossing operating at mid-infrared waveband of 2 μm, with good performance, is proposed and experimentally demonstrated using a full two-dimensional (2-D) sub-wavelength holey metamaterial (SWHM) waveguide, where the specific distributed 2-D hole arrays are inserted into two orthogonal multi-mode interference waveguides. Here, the introduction of SWHMs offers great design flexibility and tunability to generate the desired refractive index distributions within the crossing structure that enables tight trap of incident multiple TE modes in the through route over a large waveband around 2 μm, thus realizing an effective multimode crossing with low insertion loss, low crosstalk and large bandwidth. Simulation results show that the realized device has a compact size of 12.6 µm × 12.6 µm and its insertion losses are, respectively, < 0.37, < 0.28, and <0.32 dB for TE0, TE1, and TE2 modes over an ultra-broad wavelength range of 1700–2200 nm, while the crosstalks are below −32 dB. The experiment results verify that the average insertion losses for the three modes are as low as 0.14 dB, 0.08 dB, and 0.20 dB, respectively, with the corresponding crosstalk below −25 dB at 2 µm. The provided device may find potential applications in on-chip optical communications and computing.
SurfMon: a learning-based optical in-process surface monitoring system
Authors: Liu Samuel , Zhang Shaojian , Liu Kexin , Griffiths Jonathan , Hon Bernard
Published: February 2025

Metrology is the key to ensuring the quality of manufactured parts. With the fast development in the manufacturing sector, particularly with the sustainable manufacturing requirement, there is a significant demand for manufacturing metrology to ensure not only the accuracy of the final parts but also the quality of the whole manufacturing process. As such, defects in the manufacturing process can be identified as early as possible and can potentially lead to saving of materials, energy, and cost and contribute to sustainability. In this paper, we present SurfMon, an in-process optical surface monitoring system that is portable and powered by laser speckle pattern measurements and a machine learning algorithm, making it highly flexible and able to learn from normal surfaces and detect anomalies in manufacturing processes. SurfMon essentially consists of a laser, a camera, a microcontroller with wireless connection functionality, and some optics. It is battery-powered and rechargeable, making it hassle-free to integrate into manufacturing facilities. Reflective laser speckle patterns from manufactured surfaces are captured, and a principal component analysis model is trained and used to detect defects. The system can be mounted on a machine tool and in-process surface measurements can be performed following the cutting tool. Anomalies are detected whenever they affect the surface topographies. The effectiveness of SurfMon was demonstrated on a CNC machine, and the results showed that SurfMon was promising for in-process surface monitoring in manufacturing processes.
Argonaute 2 targets viral transcripts but not genomes of RNA viruses during antiviral RNA interference in Drosophila
Authors: Silva Emanuele G. , de Faria Isaque J. S. , Ferreira Álvaro G. A. , Jiran Thiago Henrique L. , Estevez-Castro Carlos F. , Armache Juliana N. , Amadou Siad C. G. , Verdier Yann , Vinh Joëlle , Majzoub Karim , Meignin Carine , Haas Gabrielle , Martin Franck , Imler Jean-Luc , Marques João T.
Published: February 2025

RNA interference (RNAi) mediated by the small interfering RNA (siRNA) pathway is a major antiviral mechanism in insects. This pathway is triggered when double-stranded RNA (dsRNA) produced during virus replication is recognized by Dicer-2, leading to the formation of virus-derived siRNA duplexes. These siRNAs are loaded onto the programmable nuclease Argonaute-2 (AGO2), with one strand serving as a guide to target and cleave fully complementary sequences of viral RNAs. While siRNAs are generated from viral dsRNA, the specific viral RNA species targeted for silencing during RNA virus replication remains unclear. In this study, we characterized the primary viral RNA targets of the Drosophila siRNA pathway during infections caused by negative and positive RNA viruses, namely Vesicular stomatitis virus (VSV) and Sindbis virus (SINV). Our findings reveal that polyadenylated transcripts of VSV and SINV are the major targets of silencing by the siRNA pathway during infection, likely when they are poised for translation. Consistent with earlier findings, we show that AGO2 is associated with ribosomes in control and virus infected cells. Therefore, we propose that the inhibition of the replication of RNA viruses in Drosophila results from the silencing of incoming viral transcripts, facilitated by the association of AGO2 with ribosomes.
Gender in New Nollywood cinema: The case of Citation (2020) and Blood Sisters (2022)
Authors: Isiguzo Chikwurah Destiny
Published: February 2025

The conceptualization of gender from Old to New Nollywood seems to shift between rigid masculinities alongside subjugated females and assertive females confronting masculine aggressions, respectively. This article articulates New Nollywood’s approach to representing gender-related issues like violence and sexual exploitation and challenging women’s silence in corporate and domestic spaces. The paper argues that the narration of gender archetypes in Kunle Afolayan’s Citation and Biyi Bandele and Kenneth Gyang’s Blood Sisters – both New Nollywood films – challenge the African patriarchal context in the corporate and domestic spaces where the films are set.
Reseña del libro LÉONARD, Yves, História da nação portuguesa
Authors: De Castro Araújo Nelson Jorge
Published: February 2025

Yves Léonard, História da nação portuguesa. Lisboa, Planeta, 2023, 344 pp. ISBN: 978-989-777-798-1.
RELAÇÕES SOCIAIS DE GÊNERO COMO OBSTÁCULOS PARA A VIVÊNCIA DA SEXUALIDADE FEMININA
Authors: Vieira Douglas , Zanuzzi Tamara Rodrigues Lima , Amaral Graziele Alves
Published: February 2025

Este artigo comunica os resultados de uma pesquisa que objetivou a compreensão da conexão entre as questões de gênero e a sexualidade. As dificuldades vivenciadas pelas mulheres na vida sexual são classificadas como disfunções sexuais femininas a partir de uma perspectiva médica-biológica. Através de adoção da metodologia da Teoria Fundamentada nos Dados, com a coleta de dados realizada através de entrevistas semi-estruturadas, foram entrevistadas sete mulheres com idades entre 20-45 anos. Questões sociais como o controle sobre a sexualidade da mulher e o pouco amparo encontrado nas primeiras vivências sexuais determinam as dificuldades encontradas pelas mulheres. Para além dos tratamentos médico-biológicos, são necessários contextos sociais mais favoráveis para que a mulher possa viver sua sexualidade de forma mais saudável.
Evidências de precisão e de validade do Questionário sobre Comportamentos Juvenis (QCJ)
Authors: Komatsu André Vilela , Costa Rafaelle C. S. , Salgado Fellipe Soares , Bazon Marina Rezende
Published: February 2025

Este estudo verificou as propriedades psicométricas do Questionário sobre Comportamentos Juvenis (QCJ) um instrumento que caracteriza comportamentos antissociais dos jovens e mensura variáveis de risco e de proteção associadas. As análises foram realizadas a partir de uma amostra de 836 estudantes do sexo masculino (11 e 18 anos; M = 14,4; DP = 2,1). Os alfas de Cronbach variaram de 0,23 a 0,89 e as correlações intradomínio foram significativas em 81% dos casos, com coeficientes variando de 0,10 a 0,54. As correlações entre as escalas e os Comportamentos Externalizantes foram significativas em 62% dos casos, variando de 0,10 a 0,43. O QCJ mostra-se válido para rastrear problemas sociais, relacionais e comportamentais na população adolescente.
relevância da fundamentação ontológica para uma psicopatologia dos transtornos ansiosos
Authors: Reis de Andrade Souza Letícia , Peres Messas Guilherme
Published: February 2025

A partir da constatação de que os transtornos ansiosos (CID F.40 – F.43) afetam 3,6% da população mundial e 9,3% dos brasileiros, torna-se prioridade para uma psicopatologia fenomenológica voltar-se ao fundamento ontológico que os sustenta para visar um caminho de investigação. A fenomenologia enquanto método é via fértil para o desvelamento de tais quadros e, consequentemente, para um futuro desenvolvimento de terapêuticas respectivas. Esta fertilidade se funda na força da explicitação fenomenológica das condições de possibilidade da experiência adoecida e da estrutura vivida do transtorno, respectiva ao modo como a experiência patológica pode estruturalmente se configurar. Os pensamentos hermenêutico e descritivo se dão para além das categorias universalizantes e das classificações abstratas, e, articulando-se à psicopatologia fenomenológica, suscitam o resgate do termo alemão "angst" enquanto possibilidade de fundamento ontológico dos transtornos ansiosos. “Angst”, literalmente "angústia, foi traduzido em textos psicopatológicos para "anxiety", perdendo, enquanto "ansiedade", seu caráter constitutivo e reflexivo. Reduziu-se à descrição ôntica de sinais e sintomas, carecendo da recuperação de seu sentido originário para que se possa elucidar a posição privilegiada da angústia enquanto negatividade e como fundamento ontológico comum entre os transtornos ansiosos.
Pesquisa fenomenológica com universitários usuários de diferentes modalidades clínicas em serviço escola de psicologia nordestino
Authors: Macêdo Shirley , Souza Melina Pinheiro Gomes , Sudário Natan Damasceno , Nunes Ana Lícia Pessoa
Published: February 2025

O objetivo geral deste estudo foi compreender experiências de universitários usuários de diferentes modalidades clínicas em Psicologia ofertadas por um serviço escola nordestino. Empregando-se o método da hermenêutica colaborativa, realizaram-se dez entrevistas individuais abertas com pergunta disparadora. Análise fenomenológica revelou as seguintes unidades de sentido: reconhecimento da necessidade de ajuda; satisfação com o atendimento e a qualidade do serviço recebido; insatisfação como usuário do serviço escola; reconhecimento e satisfação pela atuação de quem atendeu; mudanças em modos de subjetivação; e mobilizações subjetivas com as experiências vividas. Concluiu-se, principalmente, a necessidade de ampliar estudos fenomenológicos em serviços escola de Psicologia e de criar políticas públicas no âmbito acadêmico para potencializar o cuidado à saúde mental de universitários nas universidades da região.
Palavras-chave: Serviços de Saúde Escolar. Educação Superior. Pesquisa Qualitativa.
Franco Basaglia e a Fenomenologia
Authors: Perotti Isabela da Silva , Holanda Adriano Furtado , Mariotti Milton Carlos
Published: February 2025

Resumo: Franco Basaglia (1924-1980) foi uma figura fundamental para o movimento antimanicomial na Itália e se tornou uma liderança estratégica voltada à eliminação dos manicômios no mundo, desde seu trabalho em Gorizia até sua morte no dia 29 de agosto de 1980, em Veneza. No entanto, as origens da construção do seu pensamento no que tange à fenomenologia, são pouco exploradas nos textos encontrados sobre a reforma psiquiátrica brasileira. No contexto de construção e reavaliação em que a política de saúde mental brasileira está, se faz relevante conhecer epistemologicamente o pensamento deste psiquiatra para melhor fundamentar essa construção. O presente estudo contempla a investigação sobre a vida, obra e lutas de Franco Basaglia durante sua jornada para concretizar o projeto de fechamento do manicômio de Trieste e a Lei nº180, tomando por base seus escritos originais.
Cine y ecofeminismo en los debates públicos habilitados por los espacios de la cultura
Authors: Fernández Bouzo Soledad , Sayapin Lucía
Published: February 2025

Este artículo es producto de una investigación de largo alcance que se propone como objetivo estudiar el papel que cumplen las experiencias de cine ambiental en distintas redes de actores involucrados en problemáticas territoriales y ambientales en las principales metrópolis de Argentina. En esa línea, el trabajo analiza la experiencia del Festival Internacional de Cine Ambiental (FINCA) del Instituto Multimedia de Derechos Humanos, un espacio cultural que a través del cine habilita el debate público en Buenos Aires y que las redes de movilización socioambientalistas integran como parte de sus estrategias de visibilización y reconocimiento. La indagación se realiza a partir de una perspectiva sociológica que focaliza en los siguientes ejes: la forma en que el FINCA establece vínculos con determinados grupos y comunidades con los que tiende redes, el enfoque de género ecofeminista que la experiencia del FINCA adopta en el marco de las distintas problemáticas territoriales y ambientales registradas en las películas que elige para su proyección y posterior debate, y las imaginaciones socioecológicas que se construyen como producto de las discusiones que el FINCA habilita en la esfera pública. Parte de los hallazgos indican que el FINCA, en sus ediciones de 2016, 2018, 2020 y 2022, ha venido fomentando la conversación pública en torno a películas que documentan la emergencia de ecofeminismos territoriales en Argentina, América Latina y el Sur Global. Los principales ejes de la discusión reivindican públicamente una ética del cuidado en pos de alcanzar la justicia hídrica, ambiental y de género en nuestras sociedades, así como el derecho a la comunicación, la cultura y la soberanía audiovisual.
Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions in North Aceh
Authors: Hasdyna Novia , Kesuma Dinata Rozzi , Yafis Balqis
Published: February 2025

The K-Means algorithm is a fundamental tool in machine learning, widely utilized for data clustering tasks. This research aims to improve the performance of the K-Means algorithm by integrating the Purity method, specifically focusing on clustering regions renowned for oil palm production in North Aceh. Oil palm cultivation is a vital agricultural sector in North Aceh, contributing significantly to the local economy and employment. This study examines two clustering techniques: the conventional K-Means algorithm and an optimized version, Purity+K-Means. The integration of the Purity method increases the efficiency of K-Means by decreasing the required iterations for convergence. The data used for clustering analysis is sourced from the Department of Agriculture and Food in North Aceh Regency and pertains to oil palm production in 2023. The findings indicate that the Purity+K-Means approach notably reduces the iteration count and improves cluster quality. The average Davies-Bouldin Index (DBI) for standard K-Means is 0.45, whereas the Purity+K-Means method lowers it to 0.30. Furthermore, applying the Purity method reduced the number of K-Means iterations from 15 to just 3. These results highlight an enhancement in clustering performance and overall efficiency.
E-commerce Service Chatbot Application Design using KNN and Random Forest Methods
Authors: Zamakhsyari Fardan
Published: February 2025

Our lives are profoundly shaped by technology, with the expansion of e-commerce being a notable outcome that demands attention. Given the prevalence of smartphones equipped with rapid messaging and networking applications, individuals often utilize these platforms to communicate with sellers, offering a convenient means for sellers to efficiently engage with a diverse customer base. Recognizing this trend, there arises a necessity for the digital transformation of services to enhance operational efficiency. In response to this need, the researcher has developed a chatbot application aimed at improving customer service, employing machine learning techniques with the KNN and Random Forest algorithms. To assess the application's viability, the chatbot's results undergo an accuracy test, revealing a satisfactory accuracy value of 71.4%, thereby affirming its feasibility.
Android Malware Threats: A Strengthened Reverse Engineering Approach to Forensic Analysis
Authors: Kusuma Ridho Surya , Putra Muhammad Dirga Purnomo
Published: February 2025

The increasing prevalence of Android devices has made them prime targets for malware attacks. These malicious programs pose a significant threat, causing financial loss through unauthorized premium-rate SMS messages and jeopardizing user privacy by stealing sensitive data like login credentials and contact information. The potential for downloaded malware to further compromise the device by installing additional malicious applications is even more concerning. To combat this growing menace, researchers are actively exploring methods to identify and mitigate these threats. This study investigates the effectiveness of reverse engineering as a tool for analyzing suspicious Android applications. Reverse engineering involves meticulously disassembling the application's code, deconstructing its functionalities, and revealing its underlying mechanisms. We uncovered its malicious capabilities by applying this technique to a suspected malware-infected application. This analysis used six stages: Initialization, decompilation, static analysis, code reversing, behavioral analysis, and reporting. This research underscores the power of reverse engineering as a valuable tool for deconstructing the functionalities of Android malware. By understanding how these malicious programs operate, we can develop more robust detection and prevention methods to safeguard Android users from these evolving threats. This research successfully obtained data and information about the virus and the number of attackers. The result also involves the list of specific files that contain malware indicators, so it would be used in the future to enhance detection system.
Predicting Olympic Medal Trends for Southeast Asian Countries Using the Facebook Prophet Model
Authors: Qohar Bagus Al , Tanga Yulizchia Malica Pinkan , Utami Putri , Ningsih Maylinna Rahayu , Muslim Much Aziz
Published: February 2025

The Olympics is a world sporting event held every four years and is a meeting place for all athletes worldwide. The Olympics are held alternately in different countries. The Olympics were first held in Athens in 1896 and have now reached the 33rd Olympics, which will be held in Paris in 2024. A lot of work has been done to develop prediction models emphasizing improving accuracy to predict Olympic outcomes. However, low-performance regression algorithms are the main problems with prediction. By integrating custom seasonality with the Facebook-Prophet prediction model, this study aims to increase the accuracy of Olympic prediction. The proposed new model involves several steps, including preparing the data and initializing and fitting the Facebook-Prophet model with several parameters such as seasonal mode, annual seasonality, and prior scale. The model is tested using the Olympic dataset (1994–2024). The evaluation results show that this prediction model can provide a good value in predicting the total medals earned. On the Olympic Games (1994-2024) dataset, the model has a very low error MAE, MSE, and RMSE and has an R2 score of 0.99, which is close to perfect. This research shows that the model is effective in improving prediction accuracy.
Extreme Gradient Boosting Model with SMOTE for Heart Disease Classification
Authors: Dullah Ahmad Ubai , Darmawan Aditya Yoga , Pertiwi Dwika Ananda Agustina , Unjung Jumanto
Published: February 2025

Heart disease is one of the leading causes of death worldwide. According to data from the World Health Organisation (WHO), the number of victims who die from heart disease reaches 17.5 million people every year. However, the method of diagnosing heart disease in patients is still not optimal in determining the right treatment. Along with the development of technology, various models of machine learning algorithms and data processing techniques have been developed to find models that can produce the best precision in classifying heart disease. machine learning algorithm model in classifying heart disease, so that it can improve the effectiveness of diagnosis and help in determining the right treatment for patients. This research also aims to overcome the limitations of accuracy in existing diagnosis methods by identifying models that are capable of providing the best results in processing and analysing health data, especially in terms of heart disease classification. In this study, the XGBoost model was identified as the most superior, with an accuracy of 99%. These results show that the XGBoost model has a higher accuracy rate compared to previous methods, making it a promising solution to improve the accuracy of heart disease diagnosis and classification in the future.
Class Weighting Approach For Handling Imbalanced Data On Forest Fire Classification Using EfficientNet-B1
Authors: Arvinanto Bahtiar  , Hutomo Muhammad Ihsan Prawira , Agung Widiyanto  , Siti Khomsah
Published: February 2025

Wildfires pose significant threats to ecosystems and human safety, necessitating effective monitoring techniques. Detecting forest fires based on images of forest conditions could be a breakthrough. But, the model built from imbalanced data leads to low accuracy. This research addresses the challenge of class imbalance in multi-class classification for forest fire detection using the EfficientNet-B1 model. This research explores the implementation of class weighting to enhance model performance, particularly focusing on minority classes namely: Fire, Smoke. A dataset of 7,331 training images, categorized into four classes. The results showed that employing the class weighting method achieved an accuracy of 90%. While training duration of 14 minutes and 45 seconds, outperforming the data augmentation method in terms of time efficiency. This study contributes to the development of more effective methods for forest fire monitoring and provides insights for future research in machine learning applications in environmental contexts.
Application of SMOTE in Sentiment Analysis of MyXL User Reviews on Google Play Store
Authors: Badriyah  , Chamidy Totok , Suhartono
Published: February 2025

Aplikasi di dunia nyata sering kali memiliki kumpulan data teks yang tidak seimbang, yang menyebabkan hasil prediksi algoritma klasifikasi menjadi bias terhadap kelas mayoritas dan mengabaikan kelas minoritas. Akurasi yang tinggi tidak mencerminkan kinerja yang sebenarnya. Penelitian ini menggunakan teknik SMOTE untuk menyeimbangkan kelas dalam analisis sentimen menggunakan kumpulan data ulasan pengguna MyXL dari Google PlayStore. Kami membandingkan kinerja algoritma Regresi Logistik dan Support Vector Machine dengan data yang tidak seimbang dan data yang seimbang dari SMOTE. Fitur teks diekstraksi menggunakan TF-IDF, dan metrik evaluasi didasarkan pada akurasi, presisi, recall dan skor F1, yang dioptimalkan melalui GridSearchCV di Scikit-learn. Kinerja terbaik dicapai dengan menerapkan SMOTE ke algoritma SVM, yang menghasilkan akurasi 73,00%, presisi 67,13%, recall 65,82% dan skor F1 66,30%.
Receivable and Profitability: Analysis of Nigeria Manufacturing Companies with Random Effect
Authors: Adegbite Tajudeen Adejare
Published: February 2025

ABSTRACTThis study examined the effect of receivable on profitability in Nigeria manufacturing companies. Panel data analysis components such as random, and fixed effects as well as pooled regression were employed to analyse the data collected from annual reports of selected manufacturing companies in Nigeria. Based on the finding for the reliable analytical tools, it was discovered that Days Sales Outstanding (DSO) increased Profitability significantly. Also credit policy increases profitability positively and significantly indicating that there is a positive effect of credit policy on Profitability. Conversely, other variables which are the control variables such as industry types, economic environment, and company size had negative effect on profitability. Conclusively, receivable has positive impact on profitability in Nigeria manufacturing industries. It is recommended that companies should inversely reduce Days Sales Outstanding periods foe the collection of debts owned by their consumers for effective production utilization so as to ultimately upsurge Nigeria companies’ profitability significantly and tremendously. Also, the credit policy of the companies should be reviewed to be friendlier for the customers so that accommodate more customers for effective increment in patronage and profitability.
The Influence of DANA E-Wallet's Ease of Use on User Interest (Case Study of Private University Students in Tasikmalaya City)
Authors: Wulandari Saripah Dwi , Abdillah Wildan Army , Andriati Yumi Sri
Published: February 2025

This research aims to determine the influence of DANA e-wallet’s ease of use on user interest among private university students in Tasikmalaya City. This study employs a quantitative method, using both primary and secondary data. Data collection was conducted through surveys/questionnaires. The population in this study comprises private university students in Tasikmalaya City, totaling 18,173 individuals, with sample selection through probability sampling. The sample size for this study is 100 people. The data analysis techniques used include descriptive analysis and verification analysis (simple linear regression analysis, coefficient of determination test, and t-test). The results show that the ease of use of the DANA e-wallet has a positive and significant influence on user interest, with a t-table value of 1.984 < t-count 4.817 and a significance value of 0.000 < 0.05. The contribution of DANA e-wallet’s ease of use to user interest is 19.1%, while the remaining 81.9% is influenced by other variables not included in this study. This means that the higher the ease of use of the DANA e-wallet, the greater the increase in user interest.
Experimental investigation on quantifier scope in Chinese relative clauses
Authors: Fang Shaohua , Wu Hongchen , Zhao Yang
Published: February 2025

This paper presents empirical evidence on quantifier scope interpretation in doubly quantified Mandarin Chinese (Chinese) relative clauses, examined through a truth-value judgment task given to Chinese speakers. Our results demonstrate that Chinese speakers accept inverse scope interpretation in relative clauses, challenging scope rigidity claims for Chinese. This finding is supported by analyses conducted at both the group and individual levels. The observed variability in scope judgments suggests a two-grammar hypothesis: Chinese speakers’ preferences for interpreting scope may arise from insufficient and ambiguous evidence regarding specific quantifier scope interpretations in their linguistic input. Consequently, interpretations favored by one group may not be accessible to the other, leading to variability in scope judgment between Chinese speakers. Additionally, nonstructural factors such as the lexical properties of quantifier phrases have been found to modulate scope interpretations.
Exploring homotopy with hyperspherical tracking to find complex roots with application to electrical circuits
Authors: Sandoval-Hernandez Mario A. , Jimenez-Islas Hugo , Vazquez-Leal Hector , Quemada-Villagómez Miriam L. , Lopez-Gonzalez María de la Luz
Published: February 2025

In the field of applied sciences, systems are frequently modeled using mathematical frameworks that include systems of nonlinear algebraic equations. Identifying their roots, whether real or complex, is of critical importance. The widespread use of complex numbers in science and engineering highlights the importance of accurately determining the complex roots of equations. This article presents a study in which the complex roots of a system of equations are identified through an approach that utilizes homotopy continuation, with the curve being traced using a hyperspherical path tracking technique. Furthermore, this article details five case studies on electrical networks where this method is applied to solve systems of equations containing imaginary coefficients to find mesh currents. The path tracking shows the behavior of system equation in each case study. Finally, an analysis of the precision of the solutions obtained in these case studies is provided, demonstrating an accuracy of up to 15 SDs in a single iteration during the refinement stage.
Yugoslav Conflict and NATO: Humanitarian Altruism or Globalization Incentive in Kosovo?
Authors: Lavrence Graeme
Published: February 2025

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