Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic Literature Review

This article presents a systematic literature review on hybrid recommendation systems (HRS) in the e-commerce sector, a field characterized by constant innovation and rapid growth. As the complexity and volume of digital data increases, recommendation systems have become essential in guiding customers to services or products that align with their interests. However, the effectiveness of single-architecture recommendation algorithms is often limited by issues such as data sparsity, challenges in understanding user needs, and the cold start problem. Hybridization, which combines multiple algorithms in different methods, has emerged as a dominant solution to these limitations. This approach is utilized in various domains, including e-commerce, where it significantly improves user experience and sales. To capture the recent trends and advancements in HRS within e-commerce over the past six years, we review the state-of-the-art overview of HRS within e-commerce. This review meticulously evaluates existing research, addressing primary inquiries and presenting findings that contribute to evidence-based decision-making, understanding research gaps, and maintaining transparency. The review begins by establishing fundamental concepts, followed by detailed methodologies, findings from addressing the research questions, and exploration of critical aspects of HRS. In summarizing and incorporating existing research, this paper offers valuable insights for researchers and outlines potential avenues for future research, ultimately providing a comprehensive overview of the current state and prospects of HRS in e-commerce.
An Event-Driven Cardiac Monitoring System Based on a Low-Power Atrial-Fibrillation Detection ASIC With a Sensitivity of 92.5%

This letter presents an event-driven cardiac monitoring system for atrial-fibrillation (AF) detection through the co-design of a low-power application-specific integrated circuit (ASIC) and a back-end processor. Only when the AF abnormality is detected, the ASIC wakes up the processor from the standby mode, which transfers the AF episode from a front-end static random-access memory (SRAM) to the PC through a universal asynchronous receiver-transmitter (UART) interface. Afterward, the processor reenters the standby mode to reduce power consumption. An improved Pan and Tompkins algorithm is proposed, which achieves 49.7% power reduction compared with the conventional design. The R-peak detection and Kolmogorov–Smirnov-test (KS-test)-based AF-diagnosis algorithms are implemented as an ASIC in a 0.18-μm CMOS technology and achieve an AF-detection sensitivity of 92.45%. The system shows promise for realizing the next-generation implantable cardiac monitoring systems.
Aleukemic congenital leukemia cutis preceding monocytic leukemia with favorable outcome: A case report

Abstract A newborn girl had typical “blueberry muffin” skin lesions, which shows histopathologic features of monocytic leukemia cutis. The systemic leukemia was demonstrated after one month of life. She was treated by chemotherapy, including induction and three consolidation cures, according to the ELAM02 protocol, which led to complete remission. This case report with congenital form of AML5 cutaneous localization, preceding systemic involvement, with a 5‐year follow‐up and positive outcome is remarkable.
Medios de comunicación como intermediarios del voto

¿Actúan los medios de comunicación como intermediarios del voto? Para intentar responder a esta cuestión,el presente estudio investiga la posible influencia que TV1 y Antena 3 pudieran haber tenido sobre la decisiónindividual del voto en las elecciones legislativas españolas de 1993. Más concretamente, se investigará cómola exposición a los medios y la recepción de los mismos pudieron afectar a las probabilidades de diferentesopciones de voto. Para ello se examinarán las interacciones entre tres variables independientes: la variaciónen el nivel agregado de la información contenida en el discurso de las elites, las diferencias a nivel individualen la atención a este discurso y las diferencias en las predisposiciones ideológicas de los individuos. Por último,el artículo realiza un análisis específico sobre la influencia mediática en un subgrupo concreto de votantesclave en estas elecciones: los indecisos.
Fatigue and declines in cognitive functioning in multiple sclerosis

Objective: To determine whether cognitive fatigue, defined as a decline in cognitive performance over a single testing session, could be identified in MS. Methods: Forty-five individuals with MS and 14 healthy control participants completed a 4-hour session of cognitive testing that involved a baseline neuropsychological battery, a continuous effortful cognitive task (completing mental arithmetic problems administered on a computer), and a repeat neuropsychological battery. Self-report measures of fatigue and affect were completed before each step of the testing session. Results: The pattern of change in cognitive performances over the testing session significantly differed between the MS and control participants. Individuals with MS showed declines on measures of verbal memory and conceptual planning, whereas the control participants showed improvement. Although there were no significant differences between the groups on any of the baseline cognitive measures, the MS participants performed worse than the control subjects on tests of visual memory, verbal memory, and verbal fluency that were repeated following the continuous effortful cognitive task. Both MS and control participants reported increased mental and physical fatigue across the testing session compared with their baseline values. Conclusion: Individuals with MS show declines in cognitive performance during a single testing session and fail to show the improvement exemplified by healthy control subjects.
Soil microorganisms under climate change

Analyses of experimental results and hypothetical reasoning suggests that global warming causes change in the structure and metabolic activity of soil microorganisms, their bioecology. Climatic conditions carry both direct and indirect impact on the livelihoods of organisms and soil formation. The temperature and humidity are important components of environmental conditions that regulate the flow of soil-biological processes. Climate changes affect the distribution of species of organisms and the interaction between them. In terrestrial ecosystems that range changes depends on the interaction of aboveground and underground groups of organisms that affect species composition, quantitative characteristics, ecosystem processes, as well as connections within communities and ecosystems. In turn, changes in the interaction of species in response to climate change will have a significant impact is on biodiversity and function of terrestrial ecosystems. Soil microorganisms also indirectly affect the C cycle by improving soil aggregation, which physically protects the soil organic matter. That is, microbial contribution to the absorption of C determined by the interaction between the amount of microbial biomass structure of microbial communities, microbial metabolic products. Due to sensitivity to temperature process cycle carbon slight change in temperature can lead to large emissions of carbon back into the soil atmosphere. Indirect effects of climate change on microorganisms indirectly through plants may be stronger than the direct effects of temperature factor on the composition of microbial communities These observations suggest that global warming of climate leads to an expansion of thermophilic fungi species, and pathogens begin to spread from the south to the north. They form the overwintering structures that protect them from external influences. Increasing the temperature can lead to a decrease of the latent period and to increase of pathogens aggressiveness. Temperature can influence the function of the parasites virulence genes and resistance genes in plants. Strengthened antagonistic relationship between plants and pathogens, between host and parasite. Changing and mutually trophic links in consort, broken their resistance and orientation. Climate changes will influence soil organisms both directly (warming) and indirectly (warming and elevated CO 2 ) due to changes in physiological and biochemical processes in the body plant. There is little evidence that atmospheric CO 2 enrichment will increase total soil organic matter content because greater C flow into soil stimulates the soil food web, often leading to equivalent increases in soil CO 2 efflux. No definitive conclusions about the impact of raising the temperature on enzymatic activity in the soil. This may adversely affect the organic component of soil, enhance the processes of degradation and increase greenhouse gas emissions. This will decrease productivity of agroecosystems and the quality of the resulting product, which in turn affect food security.
A Comparative Study of Machine Learning and Deep Learning Models for Weather Image Classification

The study of identifying and categorizing weather images is closely connected to our daily routines and the economy. It affects decisions such as whether to bring an umbrella for the day or the agricultural earnings of an entire country for the year. However, the complexities within the domain of weather classification are manifold, owing to the subtle nature of weatherrelated image features and the multitude of factors contributing to image variability. In this context, we explore the efficacy of three distinct deep learning models: Convolutional Neural Networks (CNNs), Visual Geometry Group (VGG) networks, and Vision Transformer (ViT) models, to address the challenges posed by ambiguous attributes of weather images. The above models exhibit notable differences in their architectural nuances. CNNs excel at capturing local features through convolutional layers. VGG networks are adept at learning intricate feature hierarchies via their deep architecture. ViT, leveraging self-attention mechanisms, excels in capturing global context from images. These models collectively tackle the issue of indistinct weather features by extracting and learning relevant patterns at different scales and levels of abstraction. Our experimentation employs a diverse weather dataset encompassing ten categories, including sunny, cloudy, rainy, snowy, and others, each comprising 500 images. The results are promising, with all three models achieving classification accuracies exceeding 90%. This study underscores the potential of CNNs, VGG networks, and ViT models in effectively categorizing weather images despite the inherent challenges, contributing to improved weather understanding and forecasting, and ultimately benefiting various sectors of society.
Microbial Assessment of a Bioremediation System Treating Acid Mine Drainage

KRINKS, JOHN, K. , June 2007, Civil Engineering MICROBIAL ASSESSMENT OF A BIOREMEDIATION SYSTEM TREATING ACID MINE DRAINAGE (143 pp) Director of Thesis: Guy Riefler In this thesis, microbial communities were investigated at a bioremediation system containing inoculated and non-inoculated areas treating acid mine drainage. The primary function of the inoculated microbial culture was to remove manganese. The microbial assessment was performed by sampling the treatment bed at four locations for bacterial DNA and conducting various microbial and genetic analyses including identifying manganese-oxidizing bacteria through a screening process, polymerase chain reaction, electrophoresis, terminal restriction fragment length polymorphism, clone library construction, and DNA sequencing. It was determined that the inoculated and noninoculated communities differed, and the inoculated community appeared to be specifically capable of treating manganese. However, the inoculated community seemed to be heavily dominated by microbes of a genus known for iron oxidation (Thiobacillus), and manganese-oxidizing bacteria appeared to be underrepresented in the community. Approved: _____________________________________________________________ R. Guy Riefler Professor of Civil Engineering
Sibling relationships across the life-span

Preparing the books to read every day is enjoyable for many people. However, there are still many people who also don't like reading. This is a problem. But, when you can support others to start reading, it will be better. One of the books that can be recommended for new readers is sibling relationships across the life span. This book is not kind of difficult book to read. It can be read and understand by the new readers.
Health economic impact of early versus delayed treatment of herpes simplex virus encephalitis in the UK

Objective: Thanks to the introduction of recent national guidelines for treating herpes simplex virus (HSV) encephalitis health outcomes have improved. This paper evaluates the costs and the health-related quality of life implications of these guidelines. Design and setting: A sub-analysis of data from a prospective, multi-centre, observational cohort ENCEPH-UK study conducted across 29 hospitals in the UK from 2012 to 2015. Study participants: Data for patients aged [≥]16 years with a confirmed HSV encephalitis diagnosis admitted for treatment with aciclovir were collected at discharge, 3 and 12 months. Primary and secondary outcome measures: Patient health outcomes were measured by the Glasgow outcome score (GOS), modified ranking score (mRS), and the EuroQoL; health care costs were estimated per patient at discharge from hospital and at 12 months follow-up. In addition, Quality Adjusted Life years (QALYs) were calculated from the EQ-5D utility scores. Cost-utility analysis was performed using the NHS and Social Scare perspective. Results: A total of 49 patients were included, 35 treated within 48 hours ''early'' (median [IQR] 8.25 [3.7-20.5]) and 14 treated after 48 hours (median [IQR] 93.9 [66.7 - 100.1]). At discharge, 30 (86%) in the early treatment group had a good mRS outcome score (0-3) compared to 4 (29%) in the delayed group. EQ-5D-3L utility value at discharge was significantly higher for early treatment (0.609 vs 0.221, p<0.000). After adjusting for age and symptom duration at admission, early treatment incurred a lower average cost at discharge, {pound}23,086 (95% CI: {pound}15,186 to {pound}30,987) vs {pound}42,405 (95% CI: {pound}25,457 to {pound}59,354) [p<0.04]. A -{pound}20,218 (95% CI: -{pound}52,173 to {pound}11,783) cost difference was observed at 12-month follow-up post discharge. Conclusions: This study suggests that early treatment may be associated with better health outcomes and reduced patient healthcare costs, with a potential for savings to the NHS with faster treatment.
Relationship between temporal projections and cognition in patients with putaminal hemorrhage

Methods: 25 patients with PH were recruited for this study. A Mini-Mental State Examination(MMSE) was conducted twice to evaluate their cognitive function(within one month and six months after onset). The temporal projections(cingulum, SLF, ILF, and UF) were reconstructed and the values of DTT parameters were measured. Pearson correlation and multiple regression analyses were also performed to determine the relationship between the DTT parameters of the temporal projections and the MMSE. Results: An analysis of the correlations showed that the fractional anisotropy and fiber number ratio of the UF were correlated with the MMSE performed within one month and six months after onset. In addition, the fiber number of the UF on the MMSE at six months from the onset had an explanatory power of 33% and showed the 0.064 for unstandardized coefficients. Conclusions: Using DTT, this study demonstrated that among the temporal projections, the state of the UF in patients with PH could be the most significant indicator of cognitive function. Our results suggested that evaluation of the UF using DTT could be useful in predicting the cognitive function following PH.
Neuronal alpha-Synuclein Disease Integrated Staging System performance in PPMI, PASADENA, and SPARK baseline cohorts.

ABSTRACT The Neuronal alpha-Synuclein Disease (NSD) biological definition and Integrated Staging System (NSD-ISS) provide a research framework to identify individuals with underlying Lewy body pathology, including Parkinson's disease (PD), Parkinson's disease dementia, and dementia with Lewy bodies (DLB), and stage them based on underlying biology and increasing degree of functional impairment. The objectives of this paper were to 1) develop both biologic and clinical data-informed definitions for the NSD-ISS; 2) apply these definitions across the disease continuum; and 3) evaluate time to onset of key clinical outcomes based on baseline NSD stage. Methods We utilized data from the PPMI, an observational study and PASADENA and SPARK, two independent interventional studies. Individuals currently defined by clinical features as PD, Prodromal, or Healthy Controls were classified based on biological, clinical, and functional anchors and assigned to one of seven NSD-ISS stages at baseline. Biomarker anchors included synuclein (S) assessed by cerebrospinal fluid (CSF) alpha-synuclein seed amplification assay (n-asyn SAA), dopamine (D) assessed by dopamine transporter imaging (DaTscan), and genetic status (G). Clinical and functional anchors were derived from MDS-UPDRS Parts I-III and the Montreal Cognitive Assessment. The onset of key clinical outcomes for each stage was assessed over 12 years of follow-up. Results Across the three studies 1,741 participants had SAA data and of these 1,030 (59%) were S+ consistent with NSD. Among sporadic PD, 683/736 (93%) were NSD and the distribution for Stages 2B, 3, and 4 was 25%, 63%, and 9%, respectively. Among these individuals, median (95% CI) time to developing a clinical outcome was 8.3 (6.2, 10.1), 5.9 (4.1, 6.0), and 2.4 (1.0, 4.0) years for those staged at baseline as 2B, 3, and 4, respectively. Conclusion We propose data driven biologic and clinical anchors for NSD-ISS. Our data highlight baseline heterogeneity of the individuals currently defined as early PD that impacts progression to clinically meaningful milestones. Validation of the anchors in longitudinal cohorts is necessary.
A Novel Searching Algorithm based on Reinforcement Learning

We introduce an application-oriented reinforcement learning searching algorithm designed for problem with fast learning and capturing goal in less amount of time especially in robotics and games. The importance of game playing in machine learning is an exhaustive application of autonomous agent in real-world problem domain. In our previous published article represent that how autonomous agent learned through self-training and successful trained agent ready for execution [11]. In this paper, we design and proposed a new application-oriented searching algorithm especially for game playing in grid world problem. In which first of all agents train all state and able to capture goal successfully. Reinforcement learning is a type of decision making system that takes decision on the basis of reward or penalty signal and learned from environment. Many games, there are no such things that follow fast learning as well as searching and genuine movement for each step. For every state action agent stored previous values in terms of q values in a look-up table. It helps for agent decision making capability during goal hitting or pray captured in the real-world game. In order to access and simulate new searching algorithms in mat lab and evaluated by comparison with different RL techniques [2, 11-12].
Antineoplastic indole-containing compounds with potential VEGFR inhibitory properties

Cancer is one of the most significant health challenges worldwide. Various techniques, tools and therapeutics/materials have been developed in the last few decades for the treatment of cancer, together with great interest, funding and efforts from the scientific society. However, all the reported studies and efforts seem insufficient to combat the various types of cancer, especially the advanced ones. The overexpression of tyrosine kinases is associated with cancer proliferation and/or metastasis. VEGF, an important category of tyrosine kinases, and its receptors (VEGFR) are hyper-activated in different cancers. Accordingly, they are known as important factors in the angiogenesis of different tumors and are considered in the development of effective therapeutic approaches for controlling many types of cancer. In this case, targeted therapeutic approaches are preferable to the traditional non-selective approaches to minimize the side effects and drawbacks associated with treatment. Several indole-containing compounds have been identified as effective agents against VEGFR. Herein, we present a summary of the recent indolyl analogs reported within the last decade (2012–2023) with potential antineoplastic and VEGFR inhibitory properties. The most important drugs, natural products, synthesized potent compounds and promising hits/leads are highlighted. Indoles functionalized and conjugated with various heterocycles beside spiroindoles are also considered.
Does Combining Antenatal Care Visits at Health Posts and Health Centers Improve Antenatal Care Quality in Rural Ethiopia?

Background Even though quality maternal care is crucial for the well-being of women and their newborns, the inferior quality of antenatal care in rural Ethiopia is a timely concern. This study aimed to investigate the effects of combining antenatal care visits at health posts and health centers on improving antenatal care quality in rural Ethiopia. Methods Using the 2019 Ethiopia Health Extension Program assessment done by MERQ, we extracted and analyzed the survey responses of 2,660 women who had received at least one antenatal visit from a primary health care unit. We measured the cumulative count of quality of antenatal care using the Donabedian model. To model the differences in the quality of antenatal care at health posts and health centers, we used zero-truncated Poisson regression and reported incidence risk ratios with their 95% confidence intervals. Results The quality of antenatal care increased by 20% (adjusted IRR= 1.20 [1.12–1.28]) when antenatal care reception was mixed at health posts and health centers, compared to those who received all antenatal care only from health posts. Quality differences based on socioeconomic status and setting variations were observed as predictors of quality of care, even if women received antenatal care at both health posts and health centers. Conclusions Combining antenatal care provision from health posts and health centers should be sustained as one of the antenatal care quality improvement strategies in rural parts of Ethiopia while ensuring the equitable provision of quality care across socioeconomic groups and between agrarian and pastoral settings.