bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rethinking cutoff values for the South Oaks Gambling Screen: Sex-specific insights and DSM-5 severity adjustments in Gambling Disorder assessment
Authors: Lucas Ignacio , Granero Roser , Mora-Maltas Bernat , Fernández-Aranda Fernando , Jiménez-Murcia Susana 
Published: October 2024

AbstractBackground and aimsThe South Oaks Gambling Screen (SOGS) is a commonly used tool for screening potential gambling problems. The SOGS score has been found to be correlated with the DSM-5 criteria for Gambling Disorder (GD). However, one of its main limitations is the high rate of false positives. The objective of this study was to establish more accurate cutoff points for the SOGS based on the DSM-5 criteria and severity levels, taking into account sex-specific samples. Additionally, we aimed to validate these cutoff points using external measures.MethodsThe study sample comprised 4.516 patients (398 women and 4,118 men) who sought treatment for GD. Of these patients, 4.203 met the DSM-5 criteria for GD, while 313 did not meet the threshold for GD diagnosis.ResultsThe recommended cutoff value for the SOGS is eight for men (Sensitivity (Se): 82.9%, Specificity (Sp): 86.2%) and seven for women (Se: 85.6%, Sp: 77.4%). For moderate severity of GD, the cutoff points are nine for men (Se: 82.1%, Sp: 82.0%) and eight for women (Se: 86.3%, Sp: 73.3%), while for severe cases of GD, the cutoff point is ten for both sexes (Se: 83.0%, Sp: 56.7% for men; Se: 80.0%, Sp: 77.4% for women). These cutoff values are validated by evidence of worse psychopathological states, more dysfunctional personality traits, and risky behaviours commonly associated with GD.Discussion and ConclusionsThese findings support adjusting the reference values for the SOGS to eight in males and seven in females to enhance the classification of individuals potentially experiencing GD. The use of higher cutoff values has significant implications for clinical and research purposes, enabling a more precise assessment of the diagnosis and severity of GD.
Green Infrastructure
Authors: Fadhillah Rani , Maulida Alifya Assya , Hayat Cahya Fathul , Ridwan Muhammad 
Published: October 2024

Semakin meningkatnya Tingkat kepadatan penduduk sehingga mengurangnya ruang terbuka hijau juga letak geografis Indonesia yang rentan terhadap bencana menjadi masalah yang bisa di selesaikan dengan adanya program green infrastruktur. Penelitian ini bertujuan untuk menganalisis sejauh mana konsep Green Infrastructure di terapakan di Indonesia. Metode penelitian yang di gunakan dalam penelitian ini adalah metode studi litelatur yaitu kegiatan pengumpulan data tertulis atau data Pustaka yang sesuai dan relevan. Penelitian ini menghasilkan bahwa kasus bencana alam di sebabkan oleh peningkatan kepadatan penduduk sehingga ruang terbuka hijau yang dimiliki semakin berkurang juga kondisi geografis Indonesia yang rentan terhadap bencana hal ini berdampak pada kesehatan dan kenyamanan makhluk yang ada sehingga green infrastructure menjadi solusi untuk mengatasi hal tersebut Penelitian menyimpulkan bahwa banyak daerah di Indonesia yang sudah menerapkan program green infrastruktur yang mana program ini merupakan pendekatan yang baik dalam pencegahan juga pelestarian lingkungan dimana kepadatan penduduk semakin meningkat dan juga kondisi geografis Indonesia yang rentan terhadap bencana dengan berjalannya program green infrastruktur ini dapat meningkatkan kondisi lingkungan dan meminimalisir atau pencegah terjadinya bencana. Penelitian berkontribusi membantu pembaca memahami pentingnya green infrastruktur dan dampak potensialnya pada lingkungan.Kata kunci: infrastruktur hijau, ruang terbuka hijau, lingkungan
Innovations in ocular drug delivery
Authors: Goyal Sumit , Dwivedi Pranjali , Kaushik Jaya , Jhanwar Mayank , Singh Ankita , C M Anushree 
Published: October 2024

Traditional ocular drug delivery methods via topical (eye drops and ointments) and systemic routes (oral or intravenous medications) yield suboptimal therapeutic drug concentrations intraocularly. Innovations aimed at improving the localization, duration, and efficacy of ocular drug delivery have shifted treatment paradigm by enhancing drug penetration, sustaining drug release and also enhancing patient compliance.:Aim of this review is to summarize recent advancements in ocular drug delivery systems, to evaluate their clinical effectiveness and to discuss their potential to improve clinical outcomes. The review will also identify ongoing challenges and future research avenues leading to further progress in this field.Recent advancements in ocular drug delivery systems are based on Nanotechnology-based delivery systems; Sustained-release implants and devices; Hydrogels and contact lens; Microneedle technology and Gene therapy vectors. Nanoparticles, nanomicelles, and nanoemulsions improve drug penetration and provide sustained release within ocular tissues. Biodegradable and non-biodegradable implants and devices offer prolonged drug delivery. Hydrogels and drug-embedded contact lenses improved patient comfort. Microneedle arrays enabling minimally invasive drug delivery directly to ocular tissues. Viral and non-viral vectors address underlying genetic causes in inherited retinal diseases. Traditional methods such as eye drops, ointments, and intravitreal injections have limitations, including poor bioavailability, frequent administration, and non-compliance. Emergence of novel delivery systems, including nanoparticles, microneedles, sustained-release implants, and gene therapy vectors, offers solutions to these challenges. These innovations provide controlled and sustained drug release, improved drug stability, and targeted delivery to specific ocular tissues, resulting in enhanced therapeutic outcomes and reduced side effects.
Changing the Role of Diplomacy in the Ottoman Empire of the 16th Century
Authors: Kozub Ekaterina 
Published: October 2024

The article analyzes the process of gradual change in the methods of interaction between the Ottoman Empire and other states. During the 16th century, the forceful methods of interaction between the Ottoman Empire and foreign states began to give way to diplomatic methods. The Ottomans began to realize that sometimes it is easier and more profitable to settle relations with other powers or achieve their political goals through diplomacy. The authors note that the diplomacy conducted by the Ottoman Empire differed significantly from the European one, which was probably due to the peculiarities of the Ottoman ideology, the influence of which was reflected in various spheres. Particular attention is paid to the characteristics of the Ottoman diplomatic institutions and mechanisms. It is noted that a large number of people were involved in diplomatic activities, although not all of them held official positions. An important place in the article is given to the characterization of diplomatic documents. The most significant of them are several types of ahdname (capitulations, sultan&apos;s letters (nami-i Humayun), unilateral agreements issued to those countries that recognized Ottoman rule. The authors identify and analyze several models of diplomacy carried out by the Western powers in the Ottoman Empire during the 16th century and emphasize that the Ottoman sultans often perceived the signing of treaties and agreements by other states with the Ottoman Empire as a sign that they obeyed it, and did not consider it equal. The conclusion drawn in this article is that during the 16th century, the Ottomans increasingly began to resolve various issues with other states using diplomacy. Through negotiations, it was possible to avoid military clashes or end bloody battles on favorable terms for all sides.
Automated Borehole Image Interpretation Using Computer Vision and Deep Learning
Authors: Gharieb Amr , Ibrahim Ahmed Farid , Gabry Mohamed Adel , Elsawy Mohamed , Algarhy Ahmed , Darraj Nihal 
Published: October 2024

Summary
Reservoir characterization is critical for successful oil and gas exploration, heavily reliant on detailed formation analysis from formation microimager (FMI) logs. However, interpreting these complex logs is time-consuming, subjective, and requires expert-level knowledge. This study addresses this challenge by proposing a novel approach that integrates computer vision (CV) and deep learning (DL) for automated and real-time interpretation of FMI logs.
Our methodology leverages CV and DL techniques for automated feature extraction and classification from FMI data. A comprehensive training data set encompassing more than 2,500 images is utilized to train the DL model, enabling the identification of more than 50 distinct geological features, including bedding planes, fractures, and mineral variations. In addition, the study explores the creation of local stress maps from drilling-induced fractures to determine the present-day maximum horizontal stress (SHmax) orientation, crucial for optimizing wellbore stability and hydraulic fracturing strategies.
This research presents a groundbreaking advancement in reservoir characterization through the synergy of automated FMI interpretation, CV, and DL. The developed model exhibits exceptional accuracy in geological feature classification, significantly surpassing traditional, human-centric interpretations. For instance, the model achieves a remarkable 92% accuracy in classifying ore than 50 geological features, demonstrably outperforming conventional methods. Furthermore, the developed model was applied to actual field cases to predict the stress field. The model was able to accurately predict the minimum horizontal stress (Shmin) and SHmax based on FMI logs, and the results were used to refine the geomechanical modeling and optimize hydraulic fracture orientation for enhanced hydrocarbon recovery.
This work establishes a new benchmark for applying artificial intelligence in subsurface analysis, paving the way for future advancements in reservoir management and geomechanics. The implications are far-reaching, offering greater precision in geological interpretations, improved decision-making for production strategies, and ultimately, a more sustainable approach to hydrocarbon extraction. By automating tedious and subjective tasks, this approach not only reduces reliance on experts but also frees up valuable time for more strategic tasks. The ability to extract critical geological information with such accuracy from complex FMI logs translates to significant improvements in reservoir characterization and production efficiency.
Effects of immersive virtual environments on the performance of motor imagery brain-computer interfaces: A study on virtual environment, gamification and age relations.
Authors: Baspinar Ulvi , Tastan Yahya , Hamurcu Ahmet , Bal Abdullah , Okay Burcu Bulut , Bakır Barkın , Demiroğlu Murat , Topuz Vedat , Erguzel Türker Tekin , Acar Gonul 
Published: October 2024

Abstract

Objective: This study aims to investigate the influence of immersive virtual reality environments and gamification on the classification of motor imaginary (MI) signals and the associated increase in energy in the motor cortex region considering differences across age groups. Approach: Two immersive virtual environments, categorized as indoor and outdoor, were chosen, each encompassing gamified and non-gamified scenarios. Investigations into Event-Related Desynchronization (ERD) data were performed to determine the presence of significant discrepancies in ERD levels among varying age groups and to assess if Fully Immersive Virtual Reality (FIVR) environments prompted marked enhancements in energy levels. Main results: The preliminary analysis revealed a significant difference in cortical energy increase between gamified and non-gamified environments in the 32-43 age group (Group II). The study also explored the impact of environmental factors on MI signal classification using four deep learning algorithms. The Recurrent Neural Network (RNN) classifier exhibited the highest performance, with an average accuracy of 86.83%. Signals recorded indoors showed higher average classification performance, with a significant difference observed among age groups. The 21-24 age group (Group I) performed better in non-gamified environments (88.8%), whereas Group II performed well indoors, particularly in the gamified scenario (93.6%). Significance: The study is significant because it demonstrates how different immersive virtual environments and gamification affect performance in imaginary motor signal classification and cortical energy changes across age groups. This research holds importance as it showcases the impact of design variations within immersive virtual environments on enhancing the efficacy of brain-computer interface-driven systems. It underscores the necessity for further comprehensive investigations in this field.
Efficient removal of Sb(III) from aqueous solution using recyclable magnetic metal-organic frameworks Fe3O4@MIL-100 and Fe3O4@MIL-101
Authors: Song Xinyu , Zeng Zhen , Wang Shuo , Li Jun , Liang Yingqi , Rao Wenhao , Li Kun , Wang Zhenxing , Huang Lei 
Published: October 2024

Abstract

Antimony (Sb) pollution is becoming increasingly serious. The pollution of water bodies containing antimony poses a great threat to the ecological environment and human health. In this study, two types of magnetic metal-organic frameworks(MOFs), namely Fe3O4@MIL-100(Fe) and Fe3O4@MIL-101(Fe), were prepared to investigate the removal effect on antimony (Sb). The influence of factors such as pH value and initial concentration on the adsorption effect was studied in detail. Compared to Fe3O4@MIL-100(Fe), the study found that the adsorption reaction rate of Fe3O4@MIL-101(Fe) was much higher than the former, reaching equilibrium after 10 minutes of addition. The fitting results conformed to the chemical adsorption behavior of the pseudo-second-order kinetic model. Mechanism characteristic analysis revealed that the Fe-O-Sb formed by Fe ions in the metal clusters and Sb (III) was the main adsorption mechanism. In addition, vibrating sample magnetometer (VSM) and adsorption tests showed that the material still possesses magnetism after adsorption, and the adsorption capacity remains basically unchanged after three cycles. These results indicated that the two magnetic Fe-based MOFs were effective and recyclable adsorbents, providing a new approach to the design of regenerative adsorbent materials.
Forecasting the Fate of Forest Dwellers: Comparative Modeling of Barking Deer Habitats Against Climatic and Anthropogenic Shifts in the Western, Central, and Eastern Himalayas
Authors: Sharma Chandra Maya , Bhattacharya Saurav , Singh Hemant , Dutta Ritam , Joshi Bheem Dutt , Thakur Mukesh , Sharma Lalit Kumar 
Published: October 2024

Abstract

Barking deer (Muntiacus vaginalisBoddaert, 1785), or Northern Red Muntjac, is a solitary forest-dwelling cervid distributed from eastern Pakistan to Indonesia, including Southeast Asia. Despite its wide range, habitat assessments for the species are limited. This study models the distribution of Barking deer in the Indian Himalayan Region (IHR) using primary data (camera traps, sign surveys) and secondary data (literature, GBIF). Bioclimatic, land use, topographic, and anthropogenic variables were used to predict current and future habitat suitability for 2050 and 2090 under SSP2.6 and SSP8.5 emission scenarios.
We analysed three biogeographic provinces of the IHR: Western Himalaya, Central Himalaya, and Eastern Himalaya. The estimated current suitable habitat is 7,363 km² in the Eastern Himalaya, 1,932 km² in the Central Himalaya and 30,573 km² in the Western Himalaya. Future projections indicate a decrease in suitable habitat in the Eastern and Central Himalayas under combined climate and land use change scenarios. Conversely, the Western Himalaya shows an increase in suitable habitat. Key variables influencing distribution include temperature and precipitation patterns, forest cover, and human impact indices.
The landscape metrics and fragmentation analysis revealed significant differences across the provinces. The number of suitable habitat patches in the Western Himalaya is currently estimated at 347, with an increase in patch size projected under future scenarios. In contrast, the Central and Eastern Himalayas have 33 and 54 patches, respectively, with future projections indicating a decline in both number and size of patches. This fragmentation suggests that Barking deer in these regions may face greater habitat loss and reduced connectivity. Effective conservation planning and habitat management are crucial for sustaining Barking deer populations and the larger ecosystem, including predators that rely on them. The study emphasizes the need for enhanced conservation efforts, particularly in the Eastern and Central Himalayas.
Global Analysis and Control of a Hepatitis B Spread Dynamics Model
Authors: Milongo Gallimard Nzinga , Langa Reval , Mabonzo Delmas Vital , Mongo-Onkouo Arnaud , NDONDO Apollinaire Mboma 
Published: October 2024

Abstract

This study examines the stability of a mathematical model for the dynamics of hepatitis B spread, dividing the population into six compartments. Through qualitative analysis, we determined the basic reproduction number R 0 and investigated its asymptomatic behavior under various conditions, considering both progressive and non-progressive disease scenarios (stability and instability regions). Utilizing existing literature values, numerical simulations were conducted to validate the theoretical findings. The model with biological controls demonstrates that frequent sensitization campaigns throughout the year can help eradicate the disease in the population.
Maturation, conversion and metabolic profile of somatic embryos derived from Klussia odoratissimaMozaff as affected by light spectra ​
Authors: Khosravi Farnoosh , Rafiei Fariba , Ebrahimi Morteza , Rabiei Mohammad 
Published: October 2024

Abstract

The present study investigated potential application of somatic embryogenesis (SE) for conservation of Klussia odoratissima Mozaff. As the efficiency of SE greatly varies depending on the culture conditions including light, effects of five light spectrums including a fluorescent light and four types of light - emitting diode (LED) (red, blue, 3red-1blue, and3blue:1red) for an exposure time of a month on the maturation of K.odoratissima were also studied. To better understand the effect of light treatment on conversion of K.odoratissima cultures, two months after treatment, fresh and dry weight and metabolite contents were evaluated. Samples of the same age in situ plant and air-dry plant were also considered for relative comparison. Study of developmental stage of K.odoratissima under in vitro conditions revealed that a combination of 3red:1blue LED provided the highest number of cotyledonary (mature) embryos per callus. Hence, this light treatment was identified as the best treatment for the conversion of somatic embryos in K.odoratissima. Consequently, the highest fresh and dried weights were recorded in the cultures grown under 3blue:1red and blue LED treatment. Phthalide content of in situ plant was significantly greater than other treatments. Interestingly, the phthalide content was significantly higher in tissue culture samples compared to air-dry plants, which suggests tissue culture as an alternative technique for the production of bioactive compound in K.odoratissima. Cultures were incubated in 3blue:1red LED followed by blue LED possessed higher contents of phthalides. Application of LEDs is promising approach in micopropagation of K.odoratissima.
The role of prokaryotic mercury methylators and demethylators in Canadian Arctic thermokarst lakes
Authors: Gambardella Nicola , Costa Joana , Martins Beatriz Malcata , Folhas Diogo , Hintelmann Holger , Magalhães Catarina , Canário João 
Published: October 2024

Abstract

Permafrost soils are critical reservoirs for mercury (Hg), with the thawing process leading to the release of this element into the environment, posing significant environmental risks. Of particular concern is the methylated form of mercury, monomethylmercury (MMHg), known for its adverse effects on Human health. Microbial communities play a pivotal role in the formation of MMHg by facilitating Hg methylation, yet the specific types of microbes involved still need to be understood. Microorganisms play also a role in the demethylation of MMHg, slowing the crossing of toxic threshold concentration in the environment. This study aimed to identify the microbial drivers behind changes in Hg speciation (MMHg and Hg) in permafrost thaw lakes and assess the significance of the biotic component in Hg biogeochemistry. Sediment samples were collected from two thermokarst lakes in the Canadian sub-arctic throughout the Winter and Summer of 2022. Gene-centric metagenomic applied on whole genome sequencing (WGS) was conducted to identify the genes involved in Hg methylation (hgcA and hgcB) and demethylation (merA and merB), and hgcA and hgcB confirmed by qPCR. The microbial communities showed to be involved in the Hg cycle shifted coherently with the MMHg and total Hg measurements. Particularly, the diversity of this group of prokaryotes decreased from winter to summer. HgcA, merA, and merB coverage were low in summer, while they drastically increased during winter, similarly in all soil depth layers investigated, consistently with the MMHg levels measured. Notably, MMHg values in winter were two to five times higher than measured in summer. Our study provides new insights in the microbial contribution to the Hg cycle in the Arctic degrading permafrost.
Measuring Credit Gap
Authors: Kishor N. Kundan , Nguyen Nam 
Published: October 2024

Abstract

This paper proposes a new approach to calculating the credit gap-the deviation of the credit-to-GDP ratio from its long-run trend-that weighs credit gap measures from different decomposition methods based on their out-of-sample forecasting performance. The results show that this weighted approach to estimating the credit gap outperforms other popular trend-cycle decomposition methods in predicting changes in the credit-to-GDP ratio. Furthermore, we demonstrate that an ensemble machine learning approach, such as a random forest model, can be used to create a credit gap suitable for assessing financial crisis risk in the U.S. and the U.K.
JEL Codes: C52, E44, G01.
Neurophysiological Evidence of Human Hippocampal Longitudinal Differentiation in Associative Memory
Authors: To Tung V. , Wang David X. , Wolfe Cody B. , Lega Bradley C. 
Published: October 2024

Abstract

In humans, the hippocampus exhibits evident structural and connectivity differences along the longitudinal axis. Experiments in rodents and more recently in human subjects have stimulated several theories of functional longitudinal specialization. This question pertains directly to the management of neurosurgical patients, as nascent technologies permit more precise treatments that can selectively spare longitudinal regions. Given the critical importance of the hippocampus to episodic memory formation, the limited amount of direct electrophysiological evidence interrogating models of functional differentiation is striking. With this in mind, we investigated hippocampal longitudinal specialization in human intracranial EEG subjects as they performed an associative recognition episodic memory task. Utilizing the behavioral contrasts available in this task, we characterize the neurophysiological features that distinguish the anterior versus posterior hippocampal activity during recollection and familiarity–based memory retrieval, as well as novelty processing. We use subspace representations to characterize longitudinal differences in the temporal dynamics of key computational processes ascribed to the hippocampus, namely pattern separation and pattern completion. We place our findings in the context of existing models, adding to sparse literature using direct brain recordings to explicate the functional differentiation along the hippocampal longitudinal axis in humans.