Miracle-dz/UniFAR-FTUs huggingface dataset:
The challenge of assessing academic books: The UK and Lithuanian cases through the ISBN lens

Books are an important output in many fields of research. However, they pose a significant challenge for research assessment systems, partly because of the limited availability of information to support the assessment of books. To inform book assessment practices, I present a systematic examination of the ISBN Manual and the Global Register of Publishers (GRP). I evaluate the extent to which these two sources can be used to determine the genre and publisher of a book as well as the country in which a book was issued. My analysis focuses on books submitted to the research assessment systems in Lithuania and the UK from 2008 to 2020. I show how the ISBN Manual captures the complex interactions between publishers, their imprints, and other organisations active in academic publishing, revealing the pitfalls of measuring books’ quality by their publisher’s prestige. The results also indicate that the ISBN standard provides no basis for the book genres mandated by research assessment systems in some countries. Finally, I demonstrate how the ISBN Manual and metadata accumulated in the GRP are convenient tools for designers of research assessment systems and are suitable for identifying ISBN registrants and performing bibliometric analysis. https://www.webofscience. com/api/gateway/wos/peer-review/10.1162/qss_a_00284
Spatial and temporal analysis of flash flood risk in Southwestern Missouri

Floods are the leading cause of weather-related fatalities in the United States and the second most common cause of weather-related deaths worldwide. Of all floods, flash floods are found to be the most deadly with an average global mortality rate of 3.62%. This study performed a spatial and temporal analysis of flash flood risk using Geographic Information Systems (GIS) to analyze an event that occurred in southwestern Missouri in March 2008. Both qualitative and quantitative data were integrated using the GIS. The goals of the study were to identify different impacts of the disaster as indicated by flood reports; examine the social and natural factors that account for the spatial and temporal distribution and severity of the impacts; and to compare the results with a previous study of a flash flood event in France. In the Missouri case, the analysis confirmed that small catchments react faster than large catchments and to smaller amounts of rainfall. Seventy-seven percent of incidents (water rescues, fatalities, flooded homes, and flooded roads) occurred in catchments smaller than 200 km. The study also showed that a majority of the severe impacts (water rescues, fatalities, and flooded homes) occurred after the rainfall had tapered off, perhaps indicating that people erroneously perceive the danger has passed once the rain has stopped. When looking at water rescues and fatalities, the results of this study found that fewer incidents occurred in medium size catchments (50450 km) than in either large (>450 km) or small catchments (<50 km). This is similar to the French study, which found that no fatalities occurred in medium-sized catchments. Using GIS to examine flash flood risk will take strides forward in comparing human vulnerability with size of catchment.
EFFECTIVENESS OF PROMOTION (CONVENTIONAL AND SOCIAL MEDIA) AND LEVEL OF EASY SERVICE OF HAJJ AND UMRAH MANAGEMENT BUREAU OR AGENT IN THE PANTURA REGION

Promotional activities increase product/service knowledge and consumer's perceived value, thus further increasing their desire to make purchases.This research aims to examine the effectiveness of promotions (conventional and social media) and the level of service convenience of Hajj and Umrah management bureaus or agents in the Pantura area. The approach used in the research is quantitative descriptive. The data collection technique uses a questionnaire with purposive sampling type. The respondents used in this research came from Tegal City and Tegal Regency. The technique for analyzing data applies hypothesis testing based on changes in the Cochran version and analysis of variance through Friedman's two-way level. This research concluded that based on testing the Cochran version of the change hypothesis (Cochran change test), it was concluded that the five promotional means, both conventional and social media, used by Hajj and Umrah bureaus or agents had significant differences in effectiveness. Meanwhile, based on analysis of variance through Friedman's two-way level, the final conclusion was that respondents had significant differences in preferences for the four bureaus or agents for the level of convenience of Hajj and Umrah services. The suggestion from this research is that further research is needed to ensure that promotional tools have a better level of effectiveness than the five promotional tools from this research. And it is recommended to test the hypothesis with a more comprehensive method related to measuring the level of ease of Hajj and Umrah services.
Language Learning and Teaching in Digital Environment

The impetus for this conceptual article was derived from the panel discussion on “Language Learning and Teaching in Digital Environment” in the 27th NELTA International Conference 2023 and the authors’ reflections on their experiences as teachers and teacher educators in Indonesia, particularly after the unprecedented lock-down. The recent school closure has off ered lessons learned on the need for digital pedagogy and led to the new awareness of the challenges and opportunities in the inevitable digital environment. This article discusses some of the major contextual changes and the future directions of digital pedagogy for language learning.
Analysts’ Advice on IPOs and Regulations: An Analysis of United States and European Markets

Using recommendations and target prices on initial public offerings (IPOs), we examine the impact of regulations in the United States (US) and European Union (EU) markets that were aimed at curbing conflicts of interest in sell-side research. Conflicted analysts, proxied by whether their brokerage houses (henceforth brokers) acted as lead or co-managers in the IPO process, issued more optimistic recommendations in the US and EU markets in the pre-regulatory period. However, this extra optimism is absent after the adoption of regulations. A similar pattern emerges when examining the returns implied from US IPO target prices. Investors seem to capture the pattern, as they discount optimistic recommendations from conflicted analysts before, but not after, the new regulations. Using the staggered implementation of the new regulations—whereby US regulations take place strictly before any changes in the EU markets—we show that US brokers take the new modus operandi to Europe. In the time between the passage of US and EU regulations, US brokers in the lead role acted similarly in Europe to how they acted in the US. The EU brokers continued with their optimistic projections until the implementation of the local regulations.
An innovative gene expression modulating strategy by converting nucleic acids into HNC therapeutics using carrier-free nanoparticles

Background Cell fate and microenvironmental changes resulting from aberrant expression of specific proteins in tumors are one of the major causes of inadequate anti-tumor immune response and poor prognosis in head and neck cancer (HNC). Eukaryotic initiation factor 3C (eIF3c) has emerged as a promising therapeutic target for HNC due to its ability to regulate protein expression levels in tumor cells, but its drug development is difficult to achieve by targeting traditional protein-protein interactions. siRNA has emerged as a highly promising modality for drug development targeting eIF3c, while its application is hindered by challenges pertaining to inadequate stability and insufficient concentration specifically within tumor sites. Method We employed a method to convert flexible siRNAs into stable and biologically active infinite Auric-sulfhydryl coordination supramolecular siRNAs (IacsRNAs). Through coordinated self-assembly, we successfully transformed eIF3C siRNAs into the carrier-free HNC nanotherapeutic agent Iacs-eif3c-RNA. The efficacy of this agent was evaluated in vivo using HNC xenograft models, demonstrating promising antitumor effects. Results Iacs-eif3c-RNA demonstrated the ability to overcome the pharmacological obstacle associated with targeting eIF3C, resulting in a significant reduction in eIF3C expression within tumor tissues, as well as effective tumor cell proliferating suppression and apoptosis promotion. In comparison to monotherapy utilizing the chemotherapeutic agent cisplatin, Iacs-eif3c-RNA exhibited superior anti-tumor efficacy and favorable biosafety. Conclusion The utilization of Iacs-eif3c-RNA as a carrier-free nanotherapeutic agent presents a promising and innovative approach for addressing HNC treating challenges. Moreover, this strategy demonstrates potential for the translation of therapeutic siRNAs into clinical drugs, extending its applicability to the treatment of other cancers and various diseases.
Antihyperglycemic Effect of Aqueous Extract of Boscia Senegalensis in Rabbits

Introduction Diabetes is a serious chronic disease that occurs when the pancreas does not produce enough insulin or when the body does not properly use the insulin produced. A distinction is made between type 1 and type 2 diabetes, which increases the risk of death. This work aims to study the anti hyperglycemic effect of B. senegalensis used in Chad to fight type II diabetes and metabolic syndrome. Methodology The Oral Glucose Tolerance Test was carried out, causing hyperglycemia in rabbits, followed by the incorporation of aqueous extract of Boscia senegalensis in the treatment batch. Then, a toxicity study was carried out using a standard method. Results The results showed that in treated rabbits, the incorporation of aqueous extract of B. senegalensis after glucose administration, led to a drop in blood sugar (1.35mg/dl to 1.22 mg/dl). The increase in blood glucose in control rabbits (1.23 mg/dl to 1.38 mg/dl) due to glucose administration persisted. The ratio of organ weight and body weight of the two lots of rabbits showed no significant difference. Conclusion This study confirmed the safety of B. senegalensis extract and reduce significantly the rate of glucose in the blood fighting against type 2 diabetes.
Exploring neural oscillations in numerical inductive reasoning: unveiling effects of top-down and bottom-up conflict

Previous research has delved into the brain’s response to top-down and bottom-up conflicts in numerical inductive reasoning. However, the specific neural oscillatory patterns associated with these conflict types in numerical inductive reasoning processing have remained elusive. In this study, we employed a number series completion task in which participants had to determine whether a given target number adhered to concealed rules. Three conditions were established: an identity condition (e.g., 13, 13, 13), a perceptual mismatch condition (representing bottom-up conflict, e.g., 13 13 十三), and a rule violation condition (representing top-down conflict, e.g., 13 13 14). Our EEG results revealed significant distinctions: rule violation induced more pronounced alpha desynchronization compared to both perceptual mismatch and identity conditions. Conversely, perceptual mismatch was associated with increased theta synchronization in contrast to rule violation and the identity condition. These findings suggest that alpha desynchronization may indicate the integration of rules during top-down conflict, while theta synchronization may function as a mechanism to inhibit bottom-up perceptual interference in numerical inductive reasoning.
Mikrostrip Dual-wideband Bandpass Filter menggunakan Stub Loaded Resonator

Beberapa penelitian tentang desain BPF (bandpass filter) seringkali memiliki masalah dengan struktur yang kompleks dan rumit, serta lebar pita yang sempit. Pada penelitian ini, filter BPF dirancang menggunakan stub loaded Resonator dengan bentuk yang lebih sederhana dan koefisien transmisi yang baik. Lengan stub diatur untuk menghasilkan nilai TZ (Transmission zero). Perubahan nilai TZ dapat menggeser nilai frekuensi tengah maupun lebar pita yang diinginkan. Perangkat lunak yang digunakan adalah Advanced Design System. Filter ini menggunakan substrat dengan nilai permitivitas dielektrik 4,3 dengan tebal 1,6 mm dan loss tangent 0,0265. Hasil simulasi menunjukkan nilai insertion loss pada frekuensi 1 GHz & 3 GHz masing-masing sebesar -0,2 dB dan -0,8 dB. Kemudian return loss pada frekuensi kerja 1 GHz & 3 GHz masing-masing diperoleh -30,7 dB dan -31,2 dB. Kemudian pada rentang frekuensi kerja 500Mhz – 1,6 GHz dengan frekuensi tengah 1 GHz diperoleh nilai FBW sebesar 104%. Kemudian pada rentang frekuensi 2,2 GHz – 3,7 GHz atau dengan nilai FBW 51% pada frekuensi tengah 2,9 GHz.
Practice and thinking of landslide risk management considering their secondary consequences in the Three-Gorges Reservoir, China

Landslides along the reservoir shorelines cause not only the casualties nearby the landslides, but also more important impacts to shipping or coastal properties from their secondary hazard, such as wave triggered by high speed landslide into water. Since the impoundment of the Three-Gorges Reservoir in 2003 China, several landslides have caused large wave disasters. Five landslides considering secondary potential consequence during risk mitigation processes are illustrated and studied in terms of monitoring data analysis, early warning and emergency treatments. The paper deals with how to build an efficient cooperative framework between the geologists and the administrative agencies for risk management. It remains thinking about the high uncertainty for decision making. A modification of basic formula for risk assessment by Varnes is suggested for open discussion in which secondary consequence is included. ©2016 Associazione Geotecnica Italiana, Rome, Italy.
Modeling for Predicting the Mechanical Properties of Calcium Carbonate Filled Coir-silk Squash Hybrid Composites Using Response Surface Methodology and Artificial Neural Network

Presently, there is a need to switch for more sustainable and renewable materials because of its low weight, economic, eco-friendly, biodegradable and easily recyclable. The samples of coir, silk squash hybrid composites filled with calcium carbonate (CaCO 3 ) powder have been prepared using hand lay-up technique and the mechanical properties of the prepared hybrid composite material are determined. The aim of the present work is to evolve the knowledge-based system to estimate the mechanical properties (tensile strength, flexural modulus, and impact strength) of these hybrid composites. Mechanical properties like tensile strength, flexural modulus, and impact strength have been evaluated by varying the input parameters. The morphological properties of the polymer composites were studied in the present study. Feed forward neural networks were successfully trained and the model is validated by testing it with experimental data. Also, regression equations are developed for tensile, flexural and impact strengths in terms of the input variables using Response Surface Methodology (RSM). The prediction accuracy of both RSM and Artificial Neural Network (ANN) models is good and the three statistics namely R 2 , average absolute deviation error, and mean absolute error calculated for both the models suggest that ANN modelling has better predictability.
Heart Rate Estimation in Driver Monitoring System Using Quality-Guided Spectrum Peak Screening

Remote photoplethysmography (rPPG) enables heart rate (HR) measurement under stable illumination and low noise conditions. However, challenges arise due to rapid lighting changes, significant head movements, and vehicle vibrations during driving, impacting the recovery of clear rPPG signals and rendering denoising techniques alone inadequate in entirely eliminating noise interference. To address these challenges, we introduce an innovative approach, “quality-guided spectrum peak screening” (QSPS), for monitoring the driver’s HR during driving. First, we developed a signal evaluation framework for assessing signal quality across multiple facial regions following wavelet filtering. Subsequently, by leveraging quality information, a spectral peak screening algorithm is applied to signals from multiple regions, mitigating the impact of residual noise on rPPG. The precise HR is determined by integrating quality scores and short-term stability from various facial regions. Our method is employed in a commercially available driver monitoring system (DMS) equipped with a monochrome camera. Test results show QSPS’s robustness compared with established near-infrared (NIR)-based HR detection methods. In driving scenarios, QSPS achieves a mean absolute error (MAE) of 4.32 bpm, a root mean square error (RMSE) of 6.15 bpm, and a percentage of time with HR estimation errors smaller than 6 bpm of 68.8%. Furthermore, QSPS exhibits excellent performance during extended 10-min HR monitoring, with a Pearson correlation coefficient of 0.943 in the night test and 0.906 in the day test.
Adapting to climate change: the role of canopy management and water use efficiency in vineyards

Water is likely to be sufficient for food production in 2050, but increased competition means two-thirds of the world will be affected by water scarcity (FAO 2015). As a result, one of the main objectives today in Mediterranean vineyards is water use efficiency. During the growing season, total available water is significantly lower than the evaporative demand, which is a limiting factor for quality production. Among other factors, choosing an adequate training system can help mitigate this negative effect on soil-plant hydric consumption. Training and trellising systems are one of the most relevant factors in managing the water that plants consume (Carbonneau and Costanza 2004, Van Huyssteen 1998). The role of some variables like water availability, air temperature, sun exposure and wind can determine the efficiency of several physiological processes in the plant (like photosynthesis or transpiration rates, among others). In that sense, plant geometry plays a key role in optimising plant physiology because the placing of leaves, bunches and clusters inside the plant can modulate these variables (mainly solar radiation and light interception), and help to increase the natural conditions for a better microclimate (Bergqvist et al. 2001, Spayd et al. 2002). In warm climates, where problems like over-ripening and sunburnt clusters often appear, the use of porous systems can help plants to establish a better leaf and cluster distribution, providing more space and enhancing certain physiological processes (de la Fuente et al. 2013), and causing a better utilisation of natural resources. Vegetative (aerial parts or root development) and reproductive yield are frequently determined by two inputs: water consumption and sun exposure (mainly, among others like soil composition, weather conditions, etc). However, grape roots are usually the great unknown in grapevine development (Comas et al. 2000). They appear to have phenotypically distinct stages of development, but some aspects like water distribution pattern, root system development, or the behaviour during the growth cycle are still unknown (Sebastian et al. 2015). In reference to water consumption, vegetative growth may be more strongly affected by water limitations than the plant’s reproductive growth. Reproductive demands for carbon highest in the developing roots of the plant (Deloire et al. 2004, Comas et al. 2005). Water limitations could appear especially in warm, dry climates or under scarce water conditions, (e.g. where irrigation systems are not available). Although this scenario could vary in the future due to climate change, water management is now a real concern in many viticultural regions worldwide. The main objective of the present work was to examine the effects of three different training systems on water consumption (relationship between soil and plant), and their effect on yield and grape quality under Mediterranean warm climate conditions.
Utilizing exosomes as sparking clinical biomarkers and therapeutic response in acute myeloid leukemia

Acute myeloid leukemia (AML) is a malignant clonal tumor originating from immature myeloid hematopoietic cells in the bone marrow with rapid progression and poor prognosis. Therefore, an in-depth exploration of the pathogenesis of AML can provide new ideas for the treatment of AML. In recent years, it has been found that exosomes play an important role in the pathogenesis of AML. Exosomes are membrane-bound extracellular vesicles (EVs) that transfer signaling molecules and have attracted a large amount of attention, which are key mediators of intercellular communication. Extracellular vesicles not only affect AML cells and normal hematopoietic cells but also have an impact on the bone marrow microenvironment and immune escape, thereby promoting the progression of AML and leading to refractory relapse. It is worth noting that exosomes and the various molecules they contain are expected to become the new markers for disease monitoring and prognosis of AML, and may also function as drug carriers and vaccines to enhance the treatment of leukemia. In this review, we mainly summarize to reveal the role of exosomes in AML pathogenesis, which helps us elucidate the application of exosomes in AML diagnosis and treatment.
Human Activity Recognition via Temporal Fusion Contrastive Learning

With recent advancements in wearable devices and the Internet of Things (IoT), human activity recognition (HAR) has attracted increasing interest in the wearable technology market. However, for sensor-based HAR, collecting sufficient labeled data for deep neural network learning is difficult because experts must find visually recognizable patterns in time-series data. In addition, collecting data is difficult due to privacy issues. To overcome these limitations, self-supervised learning (SSL)-based HAR methods have recently been proposed; these can learn representations without using labeled data. However, such methods only utilize sensor data and do not include the sensor wearer’s biometric information. A learning method that excludes biometric information can identify typical movement patterns but cannot learn customized movement patterns effectively. Thus, in this paper, we proposed the Temporal Fusion Contrastive Learning (TFCL) method, which considers a sensor wearer’s biometric information while training. Experimental results demonstrate that, when fine-tuned with biometric information, the proposed TFCL method obtained the highest F1 score of 0.9791 and 0.7433 on the DLR and MobiAct datasets, respectively. Furthermore, the results obtained when the proposed TFCL method was used to learn the representation and then applied to the downstream task were similar to or better than those obtained using supervised learning from scratch. These results indicate that representations can be learned effectively through TFCL. The experimental code can be found on GitHub at https://github.com/IKKIM00/temporal-fusion-contrastive-learning