bluuebunny/crossref_metadata_2025 huggingface dataset:
An Overview of AI Applications in Wildlife Conservation
Authors: Kumar Binod , Ghosh Oindrilla
Published: February 2025

The integration of artificial intelligence (AI) into wildlife conservation has revolutionized methodologies for monitoring species, enhancing habitat management, and combating poaching. This chapter examines various AI applications that contribute to the protection and preservation of biodiversity. Remote sensing technologies, powered by machine learning algorithms, assist in assessing habitat health and tracking changes over time. AI-driven image recognition tools enable the identification of individual animals from camera trap photos, facilitating more accurate population estimates and behavioral studies. Moreover, predictive analytics play a crucial role in forecasting human-wildlife conflicts and informing proactive management strategies. This synthesis of AI technologies demonstrates their potential to enhance conservation efforts, optimize resource allocation, and ultimately foster more effective wildlife protection initiatives. The ongoing advancement of AI in this field promises to create innovative solutions to some of the most pressing challenges.
Tech for the Wild
Authors: Raghav Yogita Yashveer , Chauhan Aditi
Published: February 2025

This chapter examines the transformative role of cloud computing and IoT in advancing wildlife conservation initiatives. As technological advancements redefine our capabilities, they provide innovative tools for monitoring, tracking, and safeguarding endangered species. This chapter highlights cutting-edge solutions that utilize cloud-based platforms and IoT devices to revolutionize conservation practices. It explores real-time animal tracking, data-driven anti-poaching measures, and other groundbreaking approaches that are reshaping efforts to preserve biodiversity and ensure ecosystem sustainability.
Challenges and Limitations of AI in Wildlife Conservation
Authors: Shekhawat Uma , Rana Udham Singh , Saini Neenu
Published: February 2025

Artificial Intelligence (AI) has become a transformative tool in wildlife conservation, enabling advanced data analysis, species monitoring, and habitat management. However, its application faces significant challenges. This chapter examines the technical, ethical, and practical obstacles associated with AI in conservation. Technically, AI's success depends on the quality and quantity of available data, and biases in data collection can result in flawed models and predictions. Ethically, concerns arise over the use of surveillance technologies that could infringe on the rights of indigenous communities, and the broader implications of AI-driven decisions on biodiversity management. Additionally, practical challenges such as inadequate infrastructure in remote areas, limited funding, and the need for greater interdisciplinary collaboration are explored. Through a critical analysis, the chapter aims to provide a balanced perspective on AI's role in wildlife conservation, advocating for a thoughtful and innovative approach to maximize its potential while addressing its limitations.
Spatial variation of water quality in Nilwala river of the Southern Province of Sri Lanka
Authors: Diwyanjalee G. R. , Premarathne W. A. P. J.
Published: February 2025

This study addresses the urgent need for comprehensive water quality assessments of the Nilwala River, a vital water source in Sri Lanka’s Matara district, to understand the impacts of anthropogenic activities on regional water resources. The research, conducted over an eight-month period encompassing both dry and wet seasons (March–October 2019), systematically analyzed water samples from eight strategic locations to assess spatial variations in key water quality parameters, including pH, electrical conductivity (EC), temperature, chemical oxygen demand (COD), biological oxygen demand (BOD), alkalinity, hardness, chloride, nitrate, and phosphate. Significant spatial differences were detected in parameters such as pH, EC, COD, BOD, hardness, alkalinity, and chloride (p < 0.001), with COD levels exceeding permissible limits at the Bandaththara power plant and urban Matara, highlighting the influence of industrial and urban discharges. The Weighted Arithmetic Water Quality Index (WAWQI) suggested that most sites require general treatment for drinking water, except Wellathota, which met acceptable standards. Principal Component Analysis (PCA) revealed that alkalinity, chloride, hardness, and COD were the primary contributors to water quality variations, while BOD was negatively correlated with these factors. The analysis identified rural, agricultural, and urban-industrial sites as key areas where water quality is significantly impacted by land use practices, including sand mining, agriculture, and urbanization. The study underscores the necessity for targeted monitoring and management interventions to protect the Nilwala River, emphasizing the importance of implementing mitigation strategies to address pollution sources. The findings provide critical insights into the dynamics of river water quality and highlight the need for sustainable resource management through identifying the pollution hotspots and the factors driving water quality deterioration.
Factors Affecting Stress and Depression in Bangladeshi Students: A Cross-sectional Study
Authors: Karim Reatul , Khan Sabrin Islam , Bari Razmin , Akash Md. Aktaruzzaman , Chowdhury Afsana Kabir , Seum Md. Abu Atik , Yousuf Khatiza Nawsheen , Reza Hasan Mahmud
Published: February 2025

Introduction:

During the COVID-19 pandemic, Bangladeshi students had to deal with drastic changes. In-person education was suspended, and online education was introduced along with movement restrictions within the community. This study aimed to assess the prevalence of stress, depression, and their combination among Bangladeshi students and evaluate their association with demographic factors and media usage during the pandemic.

Methods:

A cross-sectional study was conducted online using a structured questionnaire between January 2021 and January 2022 on 1377 students by a convenience sampling method. Demographic factors along with media usage frequency were recorded. The Perceived Stress Scale-10 was used to assess stress. Depression was evaluated by the WHO-5 Well-Being Index.

Results:

The average age of the participants was 20.8 ± 3.1 years; 51.6% of them were male. The prevalence of high stress, depression, and a coexistence of high stress and depression (CHSD) was 24.8%, 49.5%, and 20.9%, respectively. These indices significantly increased in females and with increasing age groups of participants. Students with inferior self-perceived health had higher odds of suffering from stress and CHSD, whereas students with general/poor health had the highest odds of high media usage and to suffer from high stress, depression, and CHSD. Students with high stress were found to have 9.49 times and 27.9 times higher probability to suffer from depression than students with moderate and low stress, respectively.

Conclusion:

This study has identified some important factors that can act as possible indicators to evaluate the prognosis of mental health problems among Bangladeshi students during public health emergencies.
Employing Sequence to Sequence Neural Network Model for XSS Attack Detection
Authors: Alzahrani Mohammad
Published: February 2025

Cross-site scripting (XSS) attacks are considered one of the most prevalent types of attacks and have caused huge damage to individuals and organizations in the form of economic loss and intrusion into privacy. Several detection techniques have been used to find known threats using signatures obtained from network traffic. Researchers have developed many techniques based on machine learning to identify attacks without depending on known signatures of already known attacks. While a number of neural network-based methods to detect XSS attacks have been proposed by security experts, no one has attempted to detect XSS attacks using a sequence neural network model. We have proposed a novel approach called a sequence-to-sequence neural network (seq2seq) model to detect cross-site scripting attacks without depending on signatures of known attacks. Using seq2seq model for XSS detection is based on extracting features from web application code segments, then using them to predict whether a script contains malicious code. The seq2seq model is represented as a two-layer neural network, with the first layer processing the training samples in sequential order and the second layer responsible for the classification of each data sample. This dataset consists of 10100 instances of malicious and benign JavaScript. The Pearson correlation method was used for feature selection. All the experiments were conducted using Tenser flow and Keras. The experimental results that proposed seq2seq achieved an accuracy of 99.8%.
Offline Signature Verification Using Deep learning and Genetic Algorithm
Authors: Musleh Abdulbaset , Al-Azzani Abdoulwase Mohammed Obaid
Published: February 2025

The process of verifying signatures has wide-ranging applications in computer systems, including financial operations,electronic document signing, and user identity verification. This approach has the advantage of community acceptance andpresents a less intrusive alternative than other biological authentication methods. Deep learning (DL) and Convolutional NeuralNetworks (CNNs) have emerged as prominent tools in the field of signature verification, significantly enhancing the accuracy and effectiveness of these systems by effectively extracting discriminative features from signature images. However, optimizing the hyperparameters in CNN models remains a challenging task, as it directly affects the efficiency and accuracy of the models.Currently, the design of CNN architectures relies heavily on manual adjustments, which can be time-consuming and maynot yield optimal results. To address this issue, the proposed method focuses on employing a genetic algorithm to evolvea population of CNN models, thereby enabling the automatic discovery of the most suitable architecture for offline signatureverification. By leveraging the optimization capabilities of the genetic algorithm, the proposed approach aims to improve theoverall performance and effectiveness of the signature verification model. The effectiveness of the proposed method was evaluated using multiple datasets, including BHSig260-Bengali, BHSig260-Hindiin, GPDS, and CEDAR. Through rigorous testing, the approach achieved remarkable discrimination rates with a False Rejection Rate (FRR) of 2.5%, a False Acceptance Rate (FAR) of 3.2%, an Equal Error Rate (EER) of 2.35%, and an accuracy rate of 97.73%.
Self-supervised and multilingual learning applied to the Wolof, Swahili and Fongbe
Authors: Djionang Pindoh Prestilien , Melatagia Yonta Paulin
Published: February 2025

soumission à Episciences

Under-resourced languages encounter substantial obstacles in speech recognition owing to the scarcity of resources and limited data availability, which impedes their development and widespread adoption. This paper presents a representation learning model that leverages existing frameworks based on self-supervised learning techniques—specifically, Contrastive Predictive Coding (CPC), wav2vec, and a bidirectional variant of CPC—by integrating them with multilingual learning approaches. We apply this model to three African languages: Wolof, Swahili, and Fongbe. Our evaluation of the resulting representations in a downstream task, automatic speech recognition, utilizing an architecture analogous to DeepSpeech, reveals the model’s capacity to discern language specific linguistic features. The results demonstrate promising performance, achieving Word Error Rates (WER) of 61% for Fongbe, 72% for Wolof, and 88% for Swahili. These findings underscore the potential of our approach in advancing speech recognition capabilities for under-resourced languages, particularly within the African linguistic landscape.

Les langues sous-dotées rencontrent d'importants obstacles en reconnaissance vocale en raison du manque de ressources et de la disponibilité limitée des données, ce qui freine leur développement et leur adoption à grande échelle. Cet article présente un modèle d'apprentissage de représentations qui s'appuie sur des cadres existants basés sur des techniques d'apprentissage auto-supervisé — en particulier le Contrastive Predictive Coding (CPC), wav2vec, et une variante bidirectionnelle du CPC — en les intégrant à des approches d'apprentissage multilingue. Nous appliquons ce modèle à trois langues africaines : le wolof, le swahili et le fongbe. L'évaluation des représentations obtenues dans une tâche en aval, la reconnaissance automatique de la parole, en utilisant une architecture similaire à DeepSpeech, montre la capacité du modèle à discerner des caractéristiques linguistiques propres à chaque langue. Les résultats démontrent des performances prometteuses, avec des taux d'erreur de mots (WER) de 61 % pour le fongbe, 72 % pour le wolof et 88 % pour le swahili. Ces résultats soulignent le potentiel de notre approche pour faire progresser les capacités de reconnaissance vocale des langues sous-dotées, en particulier dans le contexte linguistique africain.
A Machine Learning Approach for Identifying Gender Based on Bengali Vocal Cues
Authors: Ovi Al Arman , Tanjim Moon Iffath , Nayeem Md.Julker
Published: February 2025

In this research, an advanced system getting-to-know model is being carried out to properly examine and analyze multiple Bangladeshi vocal cues to diagnose gender correctly. This study is implemented in quite a few domain names, including customer service, where determining the gender of a caller can provide extra-personalized interactions. Additionally, voice-activated assistants use it to customize responses and beautify the consumer experience. To beautify provider shipping and offer demographic insights and gender recognition the use of voice evaluation is also utilized in safety systems, transcription services and sociolinguistic research. Voice is stricken by environmental way of life elements such as smoking, acid reflux sickness, air pollutants, warm weather weight reduction, city air pollutants and the horrible effect of energy on Bangladeshi fitness. In this study, we obtained data on voices from male and female participants living in Bangladesh. To provide a consistent and convenient method of research, we first converted each recording to Waveform Audio File Format (WAV). We then extracted the most significant voices from these WAV recordings and converted them to statistical data. Then, we preprocessed this statistical information to put it together for in-depth analysis. After preprocessing, we used report visualization to understand the traits and patterns observed within the voice recordings. This holistic approach enables a complete assessment of voice data to gain the goals of our study. So, the idea of this venture is to train a machine learning model with updated information processing techniques which can be expected should be gender according to voice notes. We goal to establish a dependable gender identification set of rules based on modern-day findings and big-scale facts.
The role of circulating anti-aging αKlotho in cardiac aging
Authors: Lee Dong I , Dai Dao-Fu
Published: February 2025

Aging contributes significantly to the deterioration of cardiac function and increases the prevalence of heart failure, including those with reduced or preserved ejection fraction. Heart failure with preserved ejection fraction (HFpEF) is highly prevalent in the elderly population and it has become a leading cause of morbidity and mortality in this group. This commentary discusses the important findings and broader implications of the study by Daneshgar et al. on the role of the anti-aging hormone α-Klotho in alleviating diastolic dysfunction in the aged heart via Sirtuin1 (Sirt1)-mediated pathways. Using aged and Klothodeficient mouse models, they demonstrated that soluble Klotho (sKL) supplementation improved cardiac diastolic function, reduced left ventricular hypertrophy and fibrosis, and increased capillary density. Mechanistically, the cardioprotective effects of sKL were found to rely on Sirt1-mediated regulation of DNA damage pathways and cardiac protein acetylation. These findings provide new insights into the therapeutic potential of targeting the Klotho-Sirt1 axis for HFpEF and other age-related cardiovascular diseases.
The combination of TSPO ligands and CDK1 inhibitors may be a novel approach for the treatment of malignant peripheral nerve sheath tumor
Authors: Zhang Xingnan , Liu Song
Published: February 2025

Malignant peripheral nerve sheath tumor (MPNST) is a highly aggressive sarcoma, often arising in patients with neurofibromatosis type I (NF1), and has a poor prognosis with a 5-year survival rate of only 8–13%. Current treatments are largely ineffective, underscoring the need for new therapeutic targets. Dysregulation of the cell cycle is a key contributor to cancer development, making cyclin-dependent kinases (CDKs) promising targets for cancer therapy. However, single-agent therapies often face rapid resistance, suggesting that combinatorial approaches may offer greater therapeutic efficacy. Notably, TSPO deficiency modulates the cell cycle in MPNSTs via CDK1, presenting a potential molecular target for both prognosis and treatment.
Restoration of forests: Examining tree species diversity and growth for successful ecosystem restoration in Pakistan
Authors: Khan Ishfaq Ahmad , Nazre Mohd , Ali Anwar , Ali Nizar , Khan Bilal Ahmad , Ahmad Naveed , Ahmad Sajjad
Published: February 2025

Restoration of degraded ecosystems is crucial for the conservation of biodiversity and the provision of ecosystem services. In this study, we evaluated the success of forest restoration efforts in Buner District, Pakistan, by assessing tree species diversity and forest structure. The study area was divided into assisted natural regeneration sites and plantations. Altogether thirty sites (by fifteen for assisted natural regeneration and for plantations) were randomly selected, covering the entire area. The result revealed that the assisted natural regeneration sites comprised thirteen diverse species dominated by Pinus roxburghii (54.78%), followed by Dodonaea viscosa (12.14%). In comparison, the plantation sites consisted of sixteen various species dominated by Eucalyptus camaldulensis (77.45%), followed by Robinia pseudoacacia (8.77%). The results further indicated that the average survival rate of the study area was 58.49% with the highest survival rate of 82.45% at the Ambela site and the lowest survival rate of 37.04% at the Budal site. Moreover, the number of exotic species used in plantations was limited; however, their proportion in the study area was much higher (91.15%) than that of the indigenous species (8.85%). A correlation matrix was developed to understand the relationship between seedling density (as a dependent variable) in naturally regenerating sites and influencing factors (as explanatory variables). Results showed that grazing, grass cutting, mean temperature and disturbance negatively correlated with seedling density, whereas elevation and annual precipitation positively correlated. Also, a stepwise linear regression model between seedling density and influencing factors was developed.
Keywords: species composition; Pinus roxburghii; assisted natural regeneration; tree plantations; survival rate; forest disturbance
Vulneración de las garantías básicas del debido proceso en el otorgamiento de medidas de protección para víctimas en contra del denunciado
Authors: Rodas-Izquierdo Álvaro Remigio , Vázquez-Martínez David Sebastián
Published: February 2025

Garantizar los derechos constitucionales es fundamental para proteger la dignidad y la libertad de las personas para ello los principios deben ser observados cumpliendo un respeto normativo de los derechos fundamentales, como la libertad; y, la seguridad jurídica, que deben ser protegidos y respetados por todos los poderes públicos más aun cuando las juntas de protección de derechos son las llamadas a garantizar la observación de las garantías constitucionales, por lo tanto los ciudadanos deben ser tratados de manera igual ante la ley sin discriminación ni privilegios, el objetivo es determinar si en los procedimientos administrativos que serán judicializados se respetan los derechos constitucionales de los intervinientes. La investigación fue de enfoque cualitativo, con la aplicación de los métodos histórico lógico, analítico - sintético, inductivo - deductivo. Se estableció que, en la administración de justicia en el Ecuador por parte de los órganos llamados a tutelar derechos, inobservan el debido proceso vulnerando las garantías constitucionales teniendo responsabilidad los órganos de los poderes públicos en cuanto a legislar de manera clara con el propósito de cumplir los estándares internacionales de garantías constitucionales; como aporte se estableció la necesidad de normar y reforzar el criterio de los juzgadores para que su actuación sea apegada a respetar los derechos de los ciudadanos.
Transformasi Strategis SDM untuk Keberlanjutan Perusahaan di Era Industri 4.0: Studi Kasus PT XYZ
Authors: Federova Callista , Handayani Kristin
Published: February 2025

The Fourth Industrial Revolution era has brought a significant influence on changing the digital business landscape, including in the banking sector. The position of employees as individual human resources (HR) who present knowledge, skills, and professional service capabilities is seriously threatened at a time when digital change and complexity is said to be able to replace all human work. The strategic transformation of human resource management (HR) is inevitably crucial at PT. XYZ to ensure the sustainability of the banking business. This research aims to explain the strategic role of human resource management development in PT. XYZ in facing the complexity of digital technology transformation in banking. The method used is a qualitative approach, through interviews, observations and documentation. The object of the study is Bank XYZ employees who graduated from the Management Development Program (MDP) including the Director of Retail Banking, Head of Networking and Distribution, and Staff XYZ. Data analysis through stages, data reduction, data presentation and ending with drawing conclusions. The results of the study show that the strategic transformation in human resource management (HR) carried out by PT. XYZ to remain relevant in the industrial era 4.0. Employees remain recognized as a key factor in building customer trust, through their expertise in utilizing technology. For this reason, integration between employees and technology is crucial to increase the effectiveness and sustainability of the company. This study recommends the implementation of an updated training program for mastering the latest technology. Another suggestion is the need to strengthen the core values of the organization, such as integrity, discipline, and employee concern for customers. Employees should also remain open to change and commit to learning new things
Edukasi Dan Peningkatan Literasi Digital Dalam Upaya Menanggulangi Hoaks Dan Judi Online Pada Remaja SMKN 1 Plupuh Sragen
Authors: Dani Jeratallah Aram , Setiawan Ali Arif , Syaifullah Jahid
Published: February 2025

The development of communication media and information technology, coupled with the freedom to express opinions, has made teenagers increasingly show an image of themselves that is more open to any information they receive on the internet and various social media. Openness to receiving excessive information without a complete understanding of the information makes the flow of information subject to many interpretations.
When faced with various types of information from the media, most teenagers become confused about which information is useful and which is not. In this phenomenon, media literacy knowledge is really needed as capital so that communicants as media users can classify and evaluate media content sharply and thoroughly and consume it according to their needs.
This community service program targeting vocational school youth in the Plupuh Sragen area uses the participation method, with a lecture and discussion model where the target participants also play an active role in finding and completing findings in an effort to prevent hoaxes and online gambling. A total of 40 teenagers who are members of SMKN 1 Plupuh Sragen took part in a series of outreach events with basic literacy material, information verification techniques, tools and applications for checking facts, and internet ethics.
Pelatihan Street Photography Sebagai Konten Promosi Pariwisata Pada Siswa Smk Pariwisata
Authors: Pradana Yoka , Melano Fiqie Lavani , Pramesthi Jasmine Alya , Malva Syahira , Abigael Jesicca Christin , Helmansyah Muhammad Harsya
Published: February 2025

Street Photography adalah jenis foto yang dapat dijadikan sebagai konten promosi pariwisata.  Pariwisata merupakan sektor yang memiliki peran penting dalam perekonomian Indonesia, terutama dalam menciptakan peluang kerja bagi masyarakat lokal. Namun, pengembangan potensi pariwisata seringkali terhambat oleh kurangnya keterampilan profesional yang dimiliki oleh sumber daya manusia di daerah tujuan wisata. Salah satu keterampilan yang esensial di dalam mempromosikan pariwisata adalah fotografi. Fotografi tidak hanya berfungsi sebagai dokumentasi, tetapi juga sebagai sarana efektif untuk menarik minat wisatawan melalui visualisasi keindahan alam, budaya, dan fasilitas wisata yang ada. Pengabdian masyarakat ini bertujuan untuk memberikan pelatihan street fotografi kepada siswa SMKN 9 Jurusan Pariwisata, dengan fokus meningkatkan pengetahuan dan skill teknik Street Photography. Kegiatan ini berisi pelatihan yang meliputi teori dasar Street Photography, teknik pengambilan gambar dan editing foto dalam Street Photography sebagai media promosi pariwisata. Hasil kegiatan PkM ini memperlihatkan mampu meningkatkan pengetahuan siswa tentang teknik dasar fotografi dan meningkatkan skil dalam memproduksi foto dengan tema Street Photography.
Распределение летнего зоопланктона юго-восточной части Балтийского моря в 2018 и 2022 гг. в разных слоях воды
Authors: Полунина Юлия Юрьевна , Шартон Анна Юрьевна
Published: February 2025

Проанализированы данные по видовому составу, встречаемости и распределению летнего зоопланктона в юго-восточной части Балтийского моря по данным 2018 и 2022 гг. Зоопланктон в период исследований был представлен 29 видами и таксонами более высокого порядка: Rotifera – 5, Copepoda – 11, Diplostraca – 9, Scyphozoa – 2, Ctenophora – 1, Appendicularia – 1. В меропланктоне отмечены личинки Polychaeta, Bivalvia, Gastropoda, Cirripedia и яйца рыб. Основу сообщества по биомассе составляли планктонные ракообразные, преиму-щественно каляниды. Выявлены межгодовые отличия показателей общей биомас-сы зоопланктона: диапазон значений в 2018 г. изменялся в пределах 324–3217 мг/м3, в 2022 г. – в пределах 91–1600 мг/м3, при этом пространственное распределение биомассы в эти годы имело значительное сходство. С помощью инструментов интерполяции приложения ArcMap программной среды ArcGIS были построены карты непрерывного распределения биомассы зоопланктона по данным тотального лова (2018 г. и 2022 г.) и по слоям (2022 г.): поверхностный (до глубин 30 м), промежуточный (от 30 до 50 м) и глубинный (от 50 м до дна) слои. Скопления биомассы отмечены в прибрежной зоне до глубин 50 м в районе окончания северного побережья Самбийского полуострова и вдоль Куршской ко-сы, а также ближе к склону Готландской впадины в оба года. Анализ распределения общей биомассы зоопланктона в слоях воды выявил разные участки его скопления, и эти отличия во многом обусловлены составом доминирующих видов и термохалинными условиями в каждом конкретном слое.
Gregos, etruscos e Angle
Authors: Toledo Gustavo
Published: February 2025

Editorial
Tratamento de Classe III na dentição mista com expansão rápida de maxila e protração com Máscara de Petit
Authors: Flach Renan , Nogueira Weber Adriano
Published: February 2025

As más-oclusões da Classe III de Angle definem-se por uma relação sagital entre os arcos dentários. Um diagnóstico preciso é fundamental para a escolha da conduta mais indicada para cada caso, de forma individualizada. Nessa perspectiva, este estudo tem como objetivo discutir a literatura pertinente sobre o tratamento de Classe III com expansão rápida de maxila e Máscara de Petit. Foi então realizado uma revisão de literatura, por meio da análise das informações levantadas que a maioria dos estudos destacam a necessidade da realização de um tratamento precoce para que assim alcance os resultados possíveis, já que é uma fase onde é possível ter um maior controle do crescimento craniofacial. Como plano de tratamento, a disjunção da maxila associada ao uso da máscara facial tem revelado grande efetividade para esses casos.
Controle do torque em aparelho autoligado
Authors: Luzzi Joelma , Nogueira Weber Adriano
Published: February 2025

Os braquetes autoligados tem sido a opção de escolha em tratamentos ortodônticos pelo resultado e o tempo reduzido de consultas. Os braquetes autoligados se diferem entre ativos e passivos, onde cada um tem uma indicação para melhor desempenho e melhor controle de torque. O presente estudo tem como finalidade apresentar uma revisão de literatura a respeito do uso de braquetes autoligados e o controle de torque na finalização de casos. O torque é uma torção no fio em torno do seu longo eixo faz-se isso para controlar a posição vestíbulo-lingual da raiz, através do uso de fios de secção retangular. O fio retangular não encontra um ponto de tangencia e sim uma relação de superfície. Assim, a utilização do fio retangular, bem como o torque incorporado a este, é primordial para uma adequada finalização ortodôntica.
Interceptação precoce de mordida cruzada anterior por meio da aparatologia ortodôntica removível
Authors: Herlan Eduarda Lima Albuquerque , Wons Isabel Cristina da Silva Medeiros
Published: February 2025

O diagnóstico e interceptação precoce da má-oclusão é crucial para o crescimento e desenvolvimento adequado do complexo maxilo-mandibular. Dentre as más-oclusões de maior prevalência destacam-se as mordidas cruzadas, que pode ser anterior e/ou posterior, unilateral ou bilateral. A mordida cruzada anterior pode ser definida como sendo uma relação anormal dos dentes anteriores, em relação cêntrica ou habitual, onde um ou mais dentes anteriores superiores posicionam lingualmente em relação aos inferiores. O presente artigo tem como objetivo relatar caso clínico de interceptação precoce da mordida cruzada anterior utilizando aparatologia ortodôntica removível. O dispositivo escolhido para o tratamento foi a placa de Hawley superior com expansor palatino, mola digital anterior e recobrimento oclusal para expansão lenta da maxila e descruzamento anterior da mordida. Concluiu-se que a intervenção precoce e o uso do aparelho removível foram capazes de corrigir a má-oclusão de maneira rápida, eficaz e sem desconforto para a criança. Sendo assim, o tratamento ortodôntico interceptativo é efetivo e estabelece ótimo prognóstico quando bem diagnosticado e tratado de forma precoce.
URGENSI PERLINDUNGAN HUKUM TERHADAP KONSUMEN AKIBAT PENYEBARAN KOSMETIK PALSU DI KABUPATEN BULELENG
Authors: Mahadewi Kadek Kadek
Published: February 2025

Semakin  pesatnya  kemajuan  teknologai  kecantikan  membuat keinginan  mempercantik  diri  dilakukan  oleh  para  Wanita  dengan  melakukan  pemebelian  produk  yang  dilakukan  baik  melalui  pembelanjaan  langsung  atau  menggunakan  market  place  yang  dipakai  dalam  mempermudah  pembelanjaan.  Namun  tanpa  disadari  banyak  kosmetik  palsu  yang  beredar  di  pasaran  belum  memiliki ijin  edar  sehingga  keberdaanya  tentu  membahayakan  apabila  dipergunakan  dalam  kulit.  Pengaturan  yang  diberikan  dalam  UUPK  pasal  8  ayat  1  dan  adanya  pasal  106  UU Kesehatan  dalam  praktik  pelanggaran  yang  dilakukan.  Tujuan  penulisan  jurnal  ini  agar  Masyarakat  lebih  waspada akan  keberadaan  kosmetik  yang  berder  di pasal.  Metode  penulisan  menggunakan  penelitian  empiris,  pendekatan  undang-undang  dan  kasus  dan  sumber data  primer  dan  sekunder,  Hasil  dari  penelitian  banyak  ditemukan  kosmetik  palsu  di  pasaran  sehingga  perlu  dilakukan  langkah  strategis  dalam  penggulangannya  melalui  UUPK  dan  UU  kesehatan  dalam  melakuka  perlindungan  hukum  yang  diberikan  dalam  bentuk  preventif  dan  represifnya.Semakin  pesatnya  kemajuan  teknologai  kecantikan  membuat keinginan  mempercantik  diri  dilakukan  oleh  para  Wanita  dengan  melakukan  pemebelian  produk  yang  dilakukan  baik  melalui  pembelanjaan  langsung  atau  menggunakan  market  place  yang  dipakai  dalam  mempermudah  pembelanjaan.  Namun  tanpa  disadari  banyak  kosmetik  palsu  yang  beredar  di  pasaran  belum  memiliki ijin  edar  sehingga  keberdaanya  tentu  membahayakan  apabila  dipergunakan  dalam  kulit.  Pengaturan  yang  diberikan  dalam  UUPK  pasal  8  ayat  1  dan  adanya  pasal  106  UU Kesehatan  dalam  praktik  pelanggaran  yang  dilakukan.  Tujuan  penulisan  jurnal  ini  agar  Masyarakat  lebih  waspada akan  keberadaan  kosmetik  yang  berder  di pasal.  Metode  penulisan  menggunakan  penelitian  empiris,  pendekatan  undang-undang  dan  kasus  dan  sumber data  primer  dan  sekunder,  Hasil  dari  penelitian  banyak  ditemukan  kosmetik  palsu  di  pasaran  sehingga  perlu  dilakukan  langkah  strategis  dalam  penggulangannya  melalui  UUPK  dan  UU  kesehatan  dalam  melakuka  perlindungan  hukum  yang  diberikan  dalam  bentuk  preventif  dan  represifnya.
EVALUACIÓN DE BIOISÓSTEROS DE LA DOXORRUBICINA EN LA ESTABILIDAD DE COMPLEJOS LIGANDO-PARP1, CDK2 Y αPI3K
Authors: Guaillazaca Gonzales Elian
Published: February 2025

Este estudio se centró en la evaluación de bioisósteros de la doxorrubicina y su impacto en la estabilidad de complejos ligando-proteínas, específicamente PARP1, CDK2 y αPI3K. Se utilizó un enfoque computacional para investigar estas interacciones de acoplamiento molecular. Este estudio busca comprender cómo los bioisósteros pueden ofrecer interacciones más estables con las proteínas responsables del cáncer, aumentando así la efectividad del tratamiento. La metodología utilizada involucró la generación de bioisósteros potenciales a partir de la doxorrubicina para posteriormente realizar el análisis del acoplamiento molecular entre los complejo-ligando. Por lo tanto, se valoró la afinidad y estabilidad de estos bioisósteros mediante técnicas de acoplamiento molecular. Los resultados obtenidos mostraron que los complejos bioisostéricos generados presentaron interacciones significativamente más estables con las proteínas en comparación con la doxorrubicina original. En particular, los bioisósteros B5 y B4 mostraron una mejor interacción, con energías de afinidad de -11,62 y -8,29 kcal/mol respectivamente para la proteína PARP1 y CDK2, lo que sugiere que podrían ser candidatos prometedores para el desarrollo de nuevos tratamientos. La optimización de estos compuestos podría contribuir significativamente al desarrollo de terapias más efectivas y menos tóxicas para el tratamiento del cáncer de mama.
Generative AI in the Categorisation of Paediatric Pneumonia on Chest Radiographs
Authors:   HCLTech, CO, USA, Kumar Santosh
Published: February 2025

Paediatric pneumonia is a leading cause of morbidity and mortality worldwide, necessitating accurate and timely diagnosis. This study explores the application of Generative AI for categorising paediatric pneumonia using chest radiographs. Leveraging deep learning techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), we enhance image quality, generate synthetic training data, and improve model generalizability. The proposed framework integrates AI-driven feature extraction, convolutional neural networks (CNNs), and attention mechanisms to improve diagnostic accuracy. The results demonstrate significant improvements in classification performance compared to traditional methods, with a focus on interpretability and clinical usability.
Islamic Finance, Artificial Intelligence, and the Debt Embedded in the Ex Nihilo Monetary Creation System
Authors:   Islamic Economics Institute, King Abdulaziz University, Jeddah, Saudi Arabia, Belabes Abderrazak
Published: February 2025

The aim of this study is to shed light on a relationship that has not been explored until now. This is the relationship between the world of Islamic finance that of AI, and the debt embedded in the ex nihilo monetary creation system induced by bank loans with ribā. As a result, by making excessive use of AI under the pretext of the need to adopt disruptive innovations that generate exponential growth, Islamic finance feeds this system. This raises a paradox: Islamic finance, which is reputed to be ribā-free, uses AI, which feeds on ribā, to grow exponentially in a context of chip war between the United States, China, and Europe that intensifies day by day. This cognitive trap into which Islamic finance has fallen also applies to Islamic economics. The reason is that AI, as well as finance and economics, could not be part of the debt system if they were not disembedded from society by disintegrating traditional social structures. Hence the importance of the quadriptych rizq, waqf, maʿāsh, and ʿumrān, which opens the field to local practices that create social connections, and help people live better. It is then a question of using AI to satisfy local needs when necessary, and not to increase the power of digital giants through a race for stock market capitalization, which artificially inflates profitability. Against this backdrop, investors may demand clearer monetization roadmaps, which could burst the AI bubble.
Acral Lentiginous Melanoma: A Comprehensive Review of Epidemiology, Pathophysiology, Clinical Presentation, and Therapeutic Advances
Authors:   Universidad Cuauhtémoc Plantel Aguascalientes. Aguascalientes, México, González Juan Fausto Martínez , Guevara Laura Mariel Valle ,   Escuela de Medicina de la Universidad de Celaya. Celaya, Guanajuato, México., Viveros Nancy Tellez ,   Universidad Nacional Autónoma de México. México., López Donaldo Emiliano Silva ,   Tecnológico de Monterrey Campus Monterrey, Nuevo Léon, Mexico
Published: February 2025

Acral lentiginous melanoma (ALM) is a distinct and aggressive subtype of melanoma that disproportionately affects individuals with darker skin tones, representing a unique clinical and biological entity within the broader spectrum of cutaneous melanoma. Although ALM accounts for a relatively small percentage of melanomas globally, it is the most common subtype in non-Caucasian populations. The pathogenesis of ALM is characterized by genetic alterations distinct from other melanoma subtypes, often involving mutations in KIT and focal amplifications, rather than BRAF or NRAS mutations. Clinically, ALM frequently arises on acral surfaces, including palms, soles, and subungual regions, often presenting at an advanced stage due to delayed diagnosis. This review aims to provide a detailed examination of the epidemiology, molecular pathophysiology, clinical manifestations, and diagnostic approaches of ALM, while also highlighting emerging therapeutic strategies, including surgical management, targeted therapy, and immunotherapy. Recognizing the unique challenges associated with ALM is critical for improving early detection, tailoring treatment strategies, and ultimately enhancing patient outcomes.
Ischemic and Hemorrhagic Stroke in Young Adults: Etiological Considerations, Risk Factors, and Management Strategies
Authors:   Hospital Regional Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado. Leon Guanajuato, México. Servicio de medicina interna., Medina Meyboll Edily Rodriguez , Cervantes Araceli Martínez ,   Hospital Regional Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado. Leon Guanajuato, México. Servicio de medicina interna., Correa Jesus Miguel Valencia ,   Hospital Regional Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado. Leon Guanajuato, México. Servicio de medicina interna., Emmanue Carlos ,   Hospital Regional Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado. Leon Guanajuato, México. Servicio de medicina interna., Solorzano Guzman ,   Hospital Regional Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado. Leon Guanajuato, México. Servicio de medicina interna., Tapia Elsa Itzel calderón ,   Hospital Regional Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado. Leon Guanajuato, México. Servicio de medicina interna.
Published: February 2025

Cerebrovascular events in young adults constitute a significant and often underestimated cause of long-term disability and mortality. While ischemic stroke (IS) remains the predominant subtype in this population, hemorrhagic stroke (HS) also represents a considerable burden. The etiological spectrum in younger individuals differs markedly from that in the elderly, encompassing non-traditional risk factors such as arterial dissection, prothrombotic states, cardiac embolism due to structural anomalies (e.g., patent foramen ovale), vasculitis, and substance abuse. Genetic predisposition and autoimmune conditions further complicate the diagnostic and therapeutic landscape.

This review provides an in-depth analysis of the pathophysiological mechanisms underlying stroke in young adults, highlighting the distinct clinical presentations, diagnostic modalities, and therapeutic options. The role of advanced neuroimaging, thrombophilia screening, and cardiac workup is emphasized in optimizing diagnostic accuracy. Additionally, we discuss the implications of early intervention strategies, including thrombolysis and endovascular therapy, alongside secondary prevention approaches tailored to this demographic. A comprehensive understanding of the unique aspects of stroke in young adults is imperative for improving clinical outcomes and reducing long-term disability in this patient population.
Feasibility of Developing a Sharia-Compliant Creative Economy Model in Indonesia
Authors:   UIN Siber Syekh Nurjati Cirebon, Indonesia, Yusuf Ayus Ahmad , . Achmad ,   UIN Siber Syekh Nurjati Cirebon, Indonesia, Maryam Asmiyati Khusnul ,   UIN Siber Syekh Nurjati Cirebon, Indonesia, Shiddieqy Dinan Fathi ,   Universitas Sebelas Maret, Indonesia
Published: February 2025

This study aimed to assess the feasibility, sensitivity, and characteristics of creative economy businesses in the Cirebon area of West Java. A quantitative approach with a descriptive method was used, collecting primary data through questionnaires and secondary data from MSME statistics and the Cirebon area profile. Purposive sampling was applied, selecting businesses based on certain criteria: (1) regional expertise, (2) large market potential, (3) growth potential, and (4) local government support. The findings show that the potential for creative products in the region is high. Technologically, raw materials, production materials, and necessary infrastructure are readily available, and local producers have the experience and skills required. From a financial perspective, significant investment capital is needed initially, but working capital requirements are relatively small. Socio-economically, creative economic activities have a positive impact, potentially increasing regional income through taxes and other business-related fees. Bank financing is mostly from conventional banks, with limited support from Islamic banks. However, Islamic financing options like mudharabah, musyarakah, murabahah, ijarah, and ijarah muntahiya bit tamlik could be developed for creative economic ventures.
Conocimientos en educación ambiental adquiridos en niveles básica y media básica en México y su influencia para estudiar ingeniería ambiental
Authors: Arciniega Galaviz Marco Arturo , Moreno Rentería Karla Judith , Ávila Díaz Jeovan Alberto , López López Héctor Javier
Published: February 2025

De acuerdo a la agenda 2023 de las Naciones Unidad, el objetivo de desarrollo sostenible 4 (Educación de Calidad) tiene como meta asegurar que todos los alumnos adquieran conocimientos para promover un desarrollo y estilo de vida sostenible. En México, desde niveles de preescolar hasta el nivel profesional los alumnos reciben conocimientos y habilidades para formarlos como profesionistas y ciudadanos consientes del cuidado al medio ambiente. Se realizó una investigación descriptiva y diseño no experimental en estudiantes de Ingeniería Ambiental en una universidad de México, se aplicó una encuesta con 10 preguntas de manera personal, de opción múltiple sobre conocimientos adquiridos en preescolar, educación básica y media básica sobre cuidado del medio ambiente y como influyó para estudiar ingeniería ambiental. El 88.46% recibieron conocimientos sobre el cuidado del medio ambiente, 96% adquirieron habilidades sobre el cuidado del agua, 86% sobre separación y reciclado de basura y 65% de la importancia de plantas y animales. En el 78.5%, la educación recibida antes de la universidad si influyó para escoger la carrera de ingeniería ambiental. Por los problemas ambientales que se estás viviendo actualmente, fue el principal motivo para estudiar la carrera de ingeniería ambiental (61.54%). Al 79% si le gustaría estudiar un posgrado de ingeniería ambiental. La educación que reciben las personas desde preescolar hasta profesional permite que crezcan con una sensibilización al cuidado del agua, energía eléctrica, manejo correcto de la basura y esto permite que realicen sus actividades como profesionistas con un enfoque de cuidado al medio ambiente.
Legal Protection of Billing Agency Workers
Authors: Radjawane Jemy Marvel , Tjiptabudy Jantje , Kuahaty Sarah Selfina
Published: February 2025

Introduction: Humans as social creatures need help from other humans in living their daily lives. Because, there are things that humans cannot do without the help of other people. Apart from this, humans in their lives also have 3 (three) basic needs, namely: primary, secondary and tertiary needs. Facing these needs, both humans and companies always want to fulfill them all because they basically want to live a decent life and always have enough. To be able to meet these needs, what often happens is that people and companies do not buy goods in cash but rather in installments or on credit.Purposes of the Research:  Can a collection agency be said to be an employee? and what is the form of legal protection for collection agencies that take motor vehicles that are objects of credit guarantee.Methods of the Research: The research method used is a normative or literature legal research method.Results of the Research: The legal relationship between the debt collector and the debtor, namely the Billing Agency in doing its work acts as a lessor based on a power of attorney. The legal basis for the Billing Agency in carrying out its duties is carried out based on the granting of power of attorney from the lessor to the Billing Agency as stipulated in Article 1792 and Article 1795 of the Civil Code regarding special power of attorney.
Electron Diffraction: An Essay Solely based on Classical Electromagnetic Theory
Authors:   Independent Researcher, Brazil, R Panicali Antônio
Published: February 2025

This paper discusses up to what point the fundamental two slits electron diffraction experiment can be modelled as a purely classical electromagnetic
scattering problem [1]. The trajectories of single point charges (electrons with no spin) are computed as they pass, one by one, between two ungrounded
perfectly conducting spheres, all computations being exclusively based on classical electromagnetic theory [2]. The computed particles trajectories clearly
exhibit “interference like” behavior like those predicted by quantum theory, namely
• Particles trajectories deviations depending on the accelerating voltage, spheres radii, separation (gap) and initial particle coordinates
• Trajectories exhibiting velocity/energy discontinuities similar to quantum trajectories
• Depending on the overall system dimensions, the energy jumps associated to observed trajectory discontinuity have been found to bear a clear
association to the energy jumps in quantum systems as expressed in terms of Pank´s constant h.