Miracle-dz/UniFAR-FTUs huggingface dataset:
Opus-MontenegrinSubs 1.0: First electronic corpus of the Montenegrin language

Although recent years have witnessed a growth in the number of computational language resources and tools, a lot still needs to be done, especially with low-density languages. This is the case with all South Slavic languages and especially Montenegrin, the fourth standard of the once Serbo-Croatian language that has been re-codified only recently. Even though it became the official language of Montenegro in 2007, there still isn’t any publicly available electronic corpus that would be available for empirical research of linguistic, translatological or any other inquiry. This paper introduces the first publicly available English – Montenegrin parallel corpus of subtitles. It describes the process of corpus compilation, presents linguistic annotation and accessibility of the corpus through web concordancers. Furthermore, it gives a brief overview of linguistic situation in Montenegro with some of the most important recent developments especially in the light of the recent official international recognition of the language which took place in December 2017.
Health and Quality of Life Outcomes

Background: A considerable gap exists in regard to longitudinal research on quality of life (QoL) in community populations of children and adolescents. Changes and stability of QoL have been poorly examined, despite the fact that children and adolescents undergo profound developmental changes. The aims of the study were to investigate short-term changes in student QoL with regard to sex and age in a school-based sample. Methods: A representative Norwegian sample of 1,821 school children, aged 8–16 years and their parents were tested at baseline and 6 months later, using the Inventory of Life Quality for Children and Adolescents (ILC) and the Kinder Lebensqualität Fragebogen (KINDL). Student response rate at baseline was 71.2% and attrition over the follow-up period was 4.6%, and 1,336 parents (70%) completed the follow-up. Change scores between baseline and follow-up evaluations were analysed by means of ANCOVA in regard to sex and age effects. Results: Students in the 8th grade reported a decrease in QoL over the six-month follow-up period as compared to those in the 6th grade with regard to Family and School domains and total QoL on the KINDL. For emotional well-being a significant linear decrease in QoL across grades 6th to 10th was observed. However, student ratings on the Friends and Self-esteem domains did not change significantly by age. Girls reported a higher decrease in their QoL across all grades over the followup period than did boys in respect of Self-esteem on the KINDL, and an age-related decrease in total QoL between 6th and 8th grade on the ILC. Parent reports of changes in child QoL were nonsignificant on most of the domains. Conclusion: The observed age and sex-related changes in school children's QoL across the sixmonth follow-up period should be considered in epidemiological as well as clinical research. Background In spite of no gold standard for the definition of QoL, there is a broad consensus to regard the concept of QoL as multidimensional, covering physical, psychological and social dimensions [1]. Thus, for the purpose of the present study, we have defined "QoL" as "the subjective reported well-being in regard to the child's physical and mental health, self-esteem and perception of own activities (playing/having hobbies), perceived relationship to friends and family as well as to school. " Published: 4 February 2009 Health and Quality of Life Outcomes 2009, 7:7 doi:10.1186/1477-7525-7-7 Received: 2 May 2008 Accepted: 4 February 2009 This article is available from: http://www.hqlo. com/content/7/1/7 © 2009 Jozefiak et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ACPPfel: Explainable deep ensemble learning for anticancer peptides prediction based on feature optimization

Background: Cancer is a significant global health problem that continues to cause a high number of deaths worldwide. Traditional cancer treatments often come with risks that can compromise the functionality of vital organs. As a potential alternative to these conventional therapies, Anticancer peptides (ACPs) have garnered attention for their small size, high specificity, and reduced toxicity, making them as a promising option for cancer treatments. Methods: However, the process of identifying effective ACPs through wet-lab screening experiments is time-consuming and requires a lot of labor. To overcome this challenge, a deep ensemble learning method is constructed to predict anticancer peptides (ACPs) in this study. To evaluate the reliability of the framework, four different datasets are used in this study for training and testing. During the training process of the model, integration of feature selection methods, feature dimensionality reduction measures, and optimization of the deep ensemble model are carried out. Finally, we explored the interpretability of features that affected the final prediction results and built a web server platform to facilitate anticancer peptides prediction, which can be used by all researchers for further studies. This web server can be accessed at http://lmylab.online:5001/. Results: The result of this study achieves an accuracy rate of 98.53% and an AUC (Area under Curve) value of 0.9972 on the ACPfel dataset, it has improvements on other datasets as well.
Multi-sensor observation fusion scheme based on 3D variational assimilation for landslide monitoring

Abstract Multi-sensor observation is very important for monitoring landslide disasters. Since various surveying techniques are currently available for detecting variational slope activities from different perspectives, studies have focused on integration of multi-source information for the analysing landslide displacements. In this study, a general multi-source data fusion scheme for landslide monitoring based on three-dimensional variation (3DVar) data assimilation was developed. The scheme was used to fuse different observations of Xishancun Landslide in Li County, Sichuan Province, China. First, the displacement observations obtained by a Global Positioning System (GPS) and Borehole Inclinometers (BIs) were assimilated for accurate evaluation of slope activities. Then, slope Stability Index (SI) was introduced to validate the assimilation results within a time interval. SIAssi values calculated using the integration model developed in the present study were compared with SIFS simulated by a physically based landslide model. The correlation coefficient between them ss 0.75, which is larger than those with SIGPS (0.45) or SIBIs (0.41) values determined by the GPS and BIs respectively. The assimilation results are thus confirmed to be more credible for slope stability simulation.
Crisis Management Using Active Online Learning Approach with Social Media

Social media is used to document and share events, such as catastrophes, people encounter. It is important to utilise SM information to help crisis management by, for example, providing information about the crises that is relevant and unknown in real time. To address this problem, we present a new active online multiple-prototype classifier, which we name AOMPC. It helps find crisis-relevant data. AOMPC is an online learning method that use active learning to look for the labels of ambiguous unlabeled data in data streams. An allotted budget limits the amount of inquiries. AOMPC is often used to receive partially tagged data streams. Using data from both artificial and social media, AOMPC was evaluated for its ability to handle two crises: the Colorado floods and the Australian bushfires. A full assessment was performed to measure the quality of the outcomes, using a variety of existing tools. In addition, a sensitivity analysis was performed to reveal the influence of AOMPC's parameters on the correctness of the findings. To compare AOMPC to other existing online learning algorithms, a research was conducted. The research proved that AOMPC has excellent response to fluctuating, partly-labeled data streams.
Open Journal of Mathematical Optimization

The M-P (Moore–Penrose) pseudoinverse has as a key application the computation of least-squares solutions of inconsistent systems of linear equations. Irrespective of whether a given input matrix is sparse, its M-P pseudoinverse can be dense, potentially leading to high computational burden, especially when we are dealing with high-dimensional matrices. The M-P pseudoinverse is uniquely characterized by four properties, but only two of them need to be satisﬁed for the computation of least-squares solutions. Fampa and Lee (2018) and Xu, Fampa, Lee, and Ponte (2019) propose local-search procedures to construct sparse block-structured generalized inverses that satisfy the two key M-P properties, plus one more (the so-called reﬂexive property). That additional M-P property is equivalent to imposing a minimum-rank condition on the generalized inverse. (Vector) 1-norm minimization is used to induce sparsity and, importantly, to keep the magnitudes of entries under control for the generalized-inverses constructed. Here, we investigate the trade-oﬀ between low 1-norm and low rank for generalized inverses that can be used in the computation of least-squares solutions. We propose several algorithmic approaches that start from a 1-norm minimizing generalized inverse that satisﬁes the two key M-P properties, and gradually decrease its rank, by iteratively imposing the reﬂexive property. The algorithms iterate until the generalized inverse has the least possible rank. During the iterations, we produce intermediate solutions, trading oﬀ low 1-norm (and typically high sparsity) against low rank.
Abandonment phenomenon in Europe

Abstract In the last century, rapid transformations, industrialization, urbanization, tertiarization, the boom in services, modern counter-urbanization trends, social mobility, and bigger transport infrastructures could have been seen. The eastern Mediterranean area, located next to the Mediterranean Sea, was one of the most significantly changed parts of the agrarian lands in Europe. The recession left its mark everywhere in Europe. This paper focuses now on the land-use changes of the east coast of Spain, on the Huerta de Valencia. The objective of this paper is to assess spatial changes and to analyse the land-use changes between 2008 and 2013.
Along‐Strike Variation in the Magmatic Tempo of the Coast Mountains Batholith, British Columbia, and Implications for Processes Controlling Episodicity in Arcs

The growth of the Coast Mountains batholith has been documented as episodic through time, and it has become a type example of a continental arc system that developed through non‐steady‐state magmatism. The magmatic record, however, is not well known along the length of the arc, hindering evaluation of the processes controlling the tempo and patterns of batholith growth. A new, robust geochronologic database (485 U‐Pb zircon and titanite ages, 120 of which are newly presented herein) covering nearly 1,000 km of arc length reveals significant along‐strike variation in the tempo of batholith emplacement, the timing of arc cessation, and the arc cooling history. Zircon ages range from ~180 to 40 Ma along the length of the arc and overlap with titanite ages, with the exception of parts of the central batholith where Eocene extension and exhumation of lower crustal rocks led to a more complex history. New analysis of zircon ages reveals significant along‐strike differences in the timing of high flux magmatic events. Small‐scale (<150 km) intra‐arc variations in magmatic tempo suggest that small‐scale processes, likely operating within the arc system, appear to have driven the episodic growth of the Coast Mountains batholith. In contrast, rates of Cretaceous‐Paleogene eastward arc migration are consistently ~2.5 km/Myr along the length of the arc. These rates are similar to those documented in North American arc systems, which suggests that arc migration has an external, plate‐scale driver and/or is an intrinsic, self‐modulating feature of most continental arcs.
of management effectiveness in ensuring economic and financial stability

: In the face of increasing environmental problems, green construction has emerged as a key strategy for sus­ tainable development. The article examines whether business investment in research and development (R&D) promotes green building practices. We carefully identified and compared different combinations of conditions, such as the scale of R&D investments, regula­ tory frameworks, and organizational commitment to sustainability, to examine their collective effects on the adoption and development of green building techniques. The findings reveal nuances in which high R&D investment is not always directly related to the implementation of green building practices. This study contributes to sustainable development by exploring the complex interplay between business investment reg­ ulatory policies and environmental commitments in promoting green construction. Provides valuable insights for industry stakeholders in promoting sustainable practices in the construction industry.
Novel hybrid low-resource Field-Programmable-Gate-Array time-to-digital-converter architecture

Time measurements are challenging in electronics 1 given their various applications. The main focus lies not in achieving greater precision, as conventional architectures have already reached picosecond levels. Instead, the challenge stems from the use of low resources and the substantial expansion in the number of channels. This study presents a novel architecture for the implementation of TDCs in applications where resources are constrained. The introduced FPGA-based TDC oﬀers a resolution of 415.84 ps, a single-shot precision of 0.45 LSB (186 ps r.m.s), while maintaining a minimal resource occupancy. Built upon a multi-shift phase counter, the TDC is extended with a tap delay using the input delay available in the FPGA hardware input, doubling the resolution of the TDC. The resource utilization is minimized when compared to low-resources state-of-the-art TDCs. The number of LUTs has been reduced up to 102, and the number of registers to 213. Furthermore, the presented TDC exhibits favorable DNL (0.2 LSB) and INL 17 (0.15 LSB). The TDC has been successfully implemented on an Artix7-2 FPGA from Xilinx. This design provides a resource-eﬀective solution for applications requiring high precision and low resource consumption.
ACTIVITY REPORT Project-Team SPHINX

Summary: This project is devoted to the analysis of several physical processes and phenomena modeled by Partial Differential Equations. In particular, the problems to be addressed are of great interest in biology, engineering, fluid mechanics, aeronautics, chemistry and medicine. From a mathematical point of view, we will study several qualitative properties for these problems, such as controllability, observability, unique continuation, asymptotic behavior, uniqueness, stability, etc.
University of Birmingham A comprehensive review of oral chitosan drug delivery systems

: Pharmaceutical scientists have long struggled to develop reliable and e ﬃ cient systems of administering insulin orally due to multiple barriers, including stomach acidity, enzymatic degradation, and mucus barriers. However, various strategies were developed to avoid insulin degradation in the gastrointestinal tract (GIT) and promote membrane permeability and biological activity. Among these strategies, chit-osan polymer-based carriers are widely researched due to their ability to protect insulin in the alimentary canal and deliver it e ﬀ ectively through the intestinal mucosa, improving its bioavailability. To improve chitosan properties, chemical and physical modi ﬁ cations have been developed, and recently, nanoparticles, microparticles, and beads of chitosan exhibited potential systems for oral insulin delivery (OID). This review facilitates an outline of the types of diabetes mellitus, insulin biosynthesis, and gastrointestinal barriers against oral insulin. Moreover, the limitations of subcutaneous insulin delivery and alternative routes of administration are also discussed. As an ideal and most convenient oral administration route, the challenges of safe insulin delivery through the GIT and strategies to elevate its bioavailability are highlighted. In addition, this review focuses on recent advancements in chitosan based carriers for OID and their potential future applications.
DIMENSI KEISLAMAN MASYARAKAT BANTEN PADA PRAKTIK TAREKAT

The study of the Qadiriyah congregation in Banten needs to be explored and known through study and research. This research uses a qualitative method with a library study approach, data collection techniques through books, journals, magazines, reports and written sources that are relevant to the research. The research results show that: 1) suluk is the initial process of knowing God. 2) dhikr which is strengthened in qadariyah chanting is the reading of monotheism sentences in different ways taught by the teacher. 3) read prayers; The Qadiriyah Order uses "Ibadallah Rijalallah", 4) fasting is a unique fast carried out by students on the teacher's orders. 5) manaqiban, namely reading texts related to loyalty to the good morals of Sheikh Abdul Qadir al-Jailani. 6) hataman, a routine activity carried out by the qadiriyah congregation together. The implication of the research is that the practice of the Qadiriyah Tarekat has become a tradition of the Banten people and has become rooted in a culture that cannot be abandoned. The implications of this research activity are: 1) strengthening local Islamic identity, 2) developing religious education, 3) deep understanding of plurality, 4) promoting development and training programs, 5) contributing to community development, 6) strengthening collaboration networks with other parties. related, 7) development of educational literature. These implications can be used as a basic perspective in designing and making decisions.
Paper Title (use style: paper title)

For bearing fault diagnosis, how to find and select sensitive features that can improve the diagnostic accuracy is a key problem. To this end, a new fault diagnosis approach based on modified multi-scale sample entropy (MMSE) and one-against-rest feature selection is proposed to identify different bearing faults. Firstly, several MMSEs as improved fault features are constructed to find informative fault information from the raw signals. Subsequently, a new feature selection method based on the one-against-rest strategy is proposed and used to select the fault features. Finally, the selected important MMSEs are fed into a naive Bayesian classifier to perform fault identification. Experimental results demonstrate that the proposed method can effectively diagnose bearing faults with high diagnosis accuracy. Keywords—Intelligent fault diagnosis, Modified multi-scale sample entropy, One-against-rest feature selection, Naive Bayesian classifier
ScholarWorks@BGSU ScholarWorks@BGSU

The present study examined the different types of stressors experienced by adults of different ages, their coping strategies, and positive/negative affect. A mediation hypothesis of coping strategies was tested on the relationships between age and positive/negative affect. One-hundred and ninety-six community-dwelling adults (age range 18-89 years old) reported the most stressful situation they experienced in the past month and coping strategies. Levels of positive and negative affect in the past month were also measured. Content analysis revealed age differences in different types of stressors adults reported. Three types of coping strategies were found: problem-focused, positive emotion-focused, and negative emotion-focused coping. Older adults were less likely than younger adults to use problem-focused coping and reported lower levels of positive affect. Path analysis supported the mediation hypothesis, showing that problem-focused coping mediated the relationship between age and positive affect. Implications are discussed on the importance of promoting problem-focused coping among older adults.
Distinctiveness in the Commercial Sexual Exploitation of Children in Sub-Saharan Africa: A Review of the Literature

ABSTRACT Research on the commercial sexual exploitation of children (CSEC) in sub-saharan Africa was considered sparse and fragmented. Today, a substantial number of studies are available on CSEC in the region. A total of 92 studies were selected and reviewed. Electronic database and manual searches were used to locate the studies. First, regarding the quality of the studies, several themes emerged, including (a) inadequate description of ethical considerations in some studies, (b) substantial participation of children in research on CSEC in the region, and (c) the use of participatory research strategy with children. Second, the findings show not only that most victims of CSEC have agency over their sexual transactions but that they also live with their families. Other distinctive aspects of CSEC in sub-saharan Africa include limited presence of pimps in CSEC and lack of research on mental health issues among child victims. The review challenges some key knowledge in the mainstream literature on CSEC. It points to the importance of giving consideration to social and cultural factors in research on CSEC. The review also calls for ethical considerations and robust monitoring standards in any research on CSEC in the region and beyond.
Herbivorous fish feeding dynamics and energy expenditure on a coral reef: Insights from stereo‐video and AI‐driven 3D tracking

Abstract Unveiling the intricate relationships between animal movement ecology, feeding behavior, and internal energy budgeting is crucial for a comprehensive understanding of ecosystem functioning, especially on coral reefs under significant anthropogenic stress. Here, herbivorous fishes play a vital role as mediators between algae growth and coral recruitment. Our research examines the feeding preferences, bite rates, inter‐bite distances, and foraging energy expenditure of the Brown surgeonfish (Acanthurus nigrofuscus) and the Yellowtail tang (Zebrasoma xanthurum) within the fish community on a Red Sea coral reef. To this end, we used advanced methods such as remote underwater stereo‐video, AI‐driven object recognition, species classification, and 3D tracking. Despite their comparatively low biomass, the two surgeonfish species significantly influence grazing pressure on the studied coral reef. A. nigrofuscus exhibits specialized feeding preferences and Z. xanthurum a more generalist approach, highlighting niche differentiation and their importance in maintaining reef ecosystem balance. Despite these differences in their foraging strategies, on a population level, both species achieve a similar level of energy efficiency. This study highlights the transformative potential of cutting‐edge technologies in revealing the functional feeding traits and energy utilization of keystone species. It facilitates the detailed mapping of energy seascapes, guiding targeted conservation efforts to enhance ecosystem health and biodiversity.