Miracle-dz/UniFAR-FTUs huggingface dataset:
ORGANIZATION OF PREVENTION, EARLY DETECTION AND TREATMENT OF GENETICALLY DETERMINED OPHTHALMOLOGICAL PROBLEMS IN AZERBAIJAN

The aim of this research is to present an optimized plan for organizing the prevention, early detection and treatment of genetically determined eye problems. Materials and methods. The study focuses on the process of prevention, detection and treatment of hereditary eye pathology. Specifically, it addresses issues related to the timely detection of genetically determined ophthalmic diseases leading to patient disability. The study included patients of the Acad. Zarifa Aliyeva National Centre for Ophthalmology, Baku. The study employs patient survey, analytical mapping, and statistical processing of the findings obtained. Results. Genetically determined pathology of the eye occurs quite often, this problem is most common in those countries where the percentage of consanguineous marriages is high. In some cases, hereditary pathology causes disability from early childhood. The correct approach to the problem of detecting the presence of abnormalities in early pregnancy, timely diagnosis and treatment in many cases helps to avoid the birth of children with genetic abnormalities and preserve the vision of sick patients. The organization of assistance to this category of population is multi-staged and involves various organizations not related to health care. An important role is played by the level of financial capabilities and the state of medical institutions, as well as the qualifications of the staff. The first stage of assistance to the population is to identify a risk group. At stage 2, a genetic study of the foetus is carried out in mothers included in the risk group. During stage 3, dynamic control is exercised over a newborn child from a risk group. Stage 4 is the organization of medical and surgical care for patients. The creation of a clear system of informing and helping patients with genetic abnormalities will reduce the number of visually impaired people. Conclusion. Thus, it is necessary to create a clear system of medical and preventive care for children with genetic abnormalities. Only the joint work of social services and doctors of different specialties can lead to successful results in providing care to this group of patients.
48-Month Clinical Outcomes and Prognostic Factors in an All-Comers Population with Acute Coronary Syndrome and Chronic Coronary Syndrome Undergoing Percutaneous Coronary Intervention with a Sirolimus-Eluting Stent

We characterized the performance as well as safety of a second-generation thin-strut sirolimus-eluting stent with a biodegradable polymer, Alex Plus (Balton, Poland), deployed in the acute coronary syndrome (ACS) setting. We enrolled patients who were subjected to percutaneous coronary intervention (PCI) between July 2015 and March 2016 and took into consideration demographics, clinical and laboratory data, and clinical outcomes. We defined the primary endpoint as the 48-month rate of major cardiovascular adverse events (MACE), including cardiac death, myocardial infarction (MI), or target lesion revascularization (TLR). The secondary endpoints were all-cause death, cardiac death, MI, and TLR rates at 12-, 24-, 36-, and 48 months. We enrolled 232 patients in whom 282 stents were implanted, including 88 ACS and 144 chronic coronary syndrome (CCS) patients. The mean age of the ACS population was 67 ± 13 years old, and 32% of it consisted of females. Patients with ACS were characterized by lower rates of arterial hypertension (85.2% vs. 95.8%, p = 0.004), dyslipidemia (67% vs. 81.9%, p = 0.01), prior MI (34.1% vs. 57.6%, p < 0.001), and prior PCI (35.2% vs. 68.8%, p < 0.001). At 48 months, among the ACS patients, the rates of MACE, death, cardiac death, MI, and TLR were 23.9%, 11.4%, 7.9%, 9.1%, and 10.2%, respectively. No stent thrombosis cases were reported. Multivariable Cox regression revealed that the statistically significant MACE predictors were massive calcifications in coronary arteries (HR 9.0, 95% CI 1.75–46.3, p = 0.009), post-dilatation (HR 3.78, 95% CI 1.28–11.2, p = 0.016), prior CABG (HR 6.64, 95% CI 1.62–27.1, p = 0.008), vitamin K antagonist use (HR 5.99, 95% CI 1.29–27.8, p = 0.022), and rivaroxaban use (HR 51.7, 95% CI 4.48–596, p = 0.002). The study findings show that Alex Plus was effective and safe in a contemporary cohort of real-world ACS patients undergoing primary PCI. The outcomes were comparable between the ACS and chronic coronary syndrome patients, with a trend of lower TLR in ACS patients at 4 years.
Cue predictiveness and uncertainty determine cue representation during visual statistical learning

This study investigated how humans process probabilistic-associated information when encountering varying levels of uncertainty during implicit visual statistical learning. A novel probabilistic cueing validation paradigm was developed to probe the representation of cues with high (75% probability), medium (50%), low (25%), or zero levels of predictiveness in response to preceding targets that appeared with high (75%), medium (50%), or low (25%) transitional probabilities (TPs). Experiments 1 and 2 demonstrated a significant negative association between cue probe identification accuracy and cue predictiveness when these cues appeared after high-TP but not medium-TP or low-TP targets, establishing exploration-like cue processing triggered by lower-uncertainty rather than high-uncertainty inputs. Experiment 3 ruled out the confounding factor of probe repetition and extended this finding by demonstrating (1) enhanced representation of low-predictive and zero-predictive but not high-predictive cues across blocks after high-TP targets and (2) enhanced representation of high-predictive but not low-predictive and zero-predictive cues across blocks after low-TP targets for learners who exhibited above-chance awareness of cue–target transition. These results suggest that during implicit statistical learning, input characteristics alter cue-processing mechanisms, such that exploration-like and exploitation-like mechanisms are triggered by lower-uncertainty and higher-uncertainty cue–target sequences, respectively.
Self-Care Behavior and Associated Factors of Nursing Students with Dysmenorrhea: A Structural Equation Model

Objective. To assess the factors influencing the self-care behavior among nursing students with dysmenorrhea. Background. The practice of self-care behavior for dysmenorrhea has gradually attracted immense attention from society; however, thus far, only a few studies have been conducted to predict this behavior and analyze the associated factors by creating a structural equation model. Methods. A cross-sectional multistage cluster sampling study was conducted among nursing students within six universities in Shaanxi province, China. A model was constructed, and structured questionnaires were adopted to measure model variables, including e-health literacy, negative emotion, self-efficacy, self-care agency, degree of dysmenorrhea, and self-care behavior for dysmenorrhea. Descriptive data analysis was performed using SPSS 23.0 software, and AMOS 23.0 was used to verify and analyze the structural model. Results. In total, 1851 valid questionnaires were collected; the effective recovery rate was 93.15%, and the prevalence of dysmenorrhea was 64.51%. e-Health literacy (B = 0.171, P < 0.001), self-efficacy (B = 0.416, P < 0.001), self-care agency (B = 1.177, P < 0.001), and degree of dysmenorrhea (B = 0.310, P < 0.001) significantly influenced self-care behavior for dysmenorrhea. The total, direct, and indirect effects of e-health literacy and self-efficacy on self-care behavior for dysmenorrhea were 0.158 and 0.492, 0.128 and 0.248, and 0.030 and 0.244, respectively. Conclusion. The self-care behavior for dysmenorrhea is affected by several factors and self-efficacy has the greatest effect on it. To promote girls to actively implement self-care behavior for dysmenorrhea, educators should strengthen the training of self-efficacy and self-care agency of the nursing students to alleviate the uncomfortable experience brought by dysmenorrhea and decrease the harm of dysmenorrhea. Implications for Nursing Management. Nursing managers should work with constant efforts to explore and optimize the management model for dysmenorrhea, encouraging young women to actively engage in self-care behavior for dysmenorrhea, to alleviate the discomfort experienced by individuals and improve women’s overall health.
Three-dimensional hybrid fusion networks for current-based bearing fault diagnosis

Intelligent fault diagnosis (IFD) techniques commonly use vibration-based measurements to perform health monitoring of critical rotating components in industrial systems. However, these vibration-based approaches may be limited in cost-sensitive applications, because the installation of vibration sensors is inconvenient and vibration sensors are expensive. Considering the difficulties of IFD using only current-related information from the motor current signal (MCS), this paper proposes a three-dimensional hybrid-fusion neural network (3D-HFN) that can automatically perform both data- and feature-level fusion of multi-phase current signals for MCS-based IFD of the rolling bearing. The 3D-HFN consists of the multivariate variational mode decomposition (MVMD) and an improved three-dimensional convolution neural network (3D-CNN). Firstly, MVMD is proposed to process multi-phase current signals, which adaptively acquire several intrinsic mode functions with mode-alignment properties. Subsequently, signal-to-image conversion and 3D stacking methods are used to construct 3D-like data in the current-phase dimension, which can fully preserve the interaction relationship between different phases using data-level fusion. Finally, an improved 3D-CNN with multiscale feature fusion and the smooth maximum unit is proposed to learn the 3D-like data and identify different health conditions for the rolling bearing. An open-source dataset with composite bearing faults is used to validate the merits of the proposed method. Experimental results show that the proposed approach has achieved more reliable diagnosis performance than other hand-crafted or 2D/3D-CNN-based algorithms in MCS-based IFD of the rolling bearing.
Use of Magnesium Stable Isotope Signatures for the Petrogenetic Interpretation of Granitic Rocks

With the advent of multi collector-inductively coupled plasma mass spectrometry, stable isotopicvariations of non-traditional metal elements have provided important constraints on the sources of geologicmaterials. This review introduces the principles of magnesium isotopic fractionation and analyticalmethods. Recent case studies are also reviewed for the use of magnesium isotope signatures to decipherthe source materials of I-, S-, and A-type granitoids in western North America, Australia, and China.
LAND USE CHANGE ANALYSIS IN UVURKHNAGAI PROVINCE

Remote Sensing and GIS functions were used to monitor interactions and relationships between land use and land cover changes in the regional area. This study aims to determine the land degradation condition in the Ongi river basin of Uvurkhangai Province, Mongolia. Using GIS functions the climate factors: precipitation, air temperature, and vegetation condition and socio-economic factors: goat number, population number and mining activities were analyzed. Eighty percent of the study area is used as pasture land and for mining which means coupled humanenvironment systems are mainly causing poor land use and land degradation. We focused on developing a methodology for monitoring land degradation using both GIS and Remote Sensing tools. From 1998 to 2007 the vegetation indexes MSAVI2 and NDVI from SPOT/VEGETATION data were applied in order to determine vegetation cover change and the GIS conditional functions were used for mapping and analyzing climate and socioeconomic factors, which both affect land degradation. When we combined vegetation indexes maps with the of climate and socioeconomic conditional maps from the GIS, we obtained a more complete understanding of the human impact on the Ongi River basin as well as the contribution of mining activity to the local economy.
N7-methylguanosine-related miRNAs predict hepatocellular carcinoma prognosis and immune therapy

N7-methylguanosine (m7G) modification has been notably linked with the development of many tumors. However, no investigations have been conducted on whether m7G-related miRNA (m7G-miRNA) is a prognostic index of hepatocellular carcinoma (HCC). Therefore, this investigation aimed to establish a predictive m7G-miRNA signature for efficient HCC prognosis and elucidate the associated immune cell infiltration (ICI) and functions in the tumor microenvironment. RNA sequencing and clinical data on 375 HCC and 50 healthy tissue samples were acquired from The Cancer Genome Atlas database. The m7G-miRNA regulators methyltransferase-like 1 and WD repeat domain 4 were acquired from the TargetScan database. Univariate Cox regression analysis was conducted on the 63 differentially expressed m7G-miRNAs identified. A prognostic signature that consisted of seven miRNAs was identified. According to their risk scores, individuals with HCC were divided into high-risk (HR) and low-risk (LR) cohorts. A Kaplan-Meier test revealed that survival in the HR HCC patients was poorer than in the LR cohort (p < 0.001). The area under the receiver operating characteristic curves of 1-, 3-, and 5-year overall survival were 0.706, 0.695, and 0.715, respectively. A nomogram of sex, risk score, age, and stage indicated the HCC patients’ overall survival. Furthermore, it was indicated that the HR and LR patients had different degrees of ICI and immune function. A pathway enrichment analysis revealed the association of several immunity-linked pathways with the risk model. In conclusion, the signature established has great prognostic value and could be used as a new immunotherapy target for individuals with HCC.
Synthesis of Modified C-Nucleosides of Therapeutic Significant: A Succinct Account

Since their discovery in the 1950s, C-nucleosides have piqued the interest of both biologists and medicinal chemists. In that regard, C-nucleosides and their synthetic analogues have resulted in promising leads in drug design. Concurrently, advances in chemical syntheses have contributed to structural diversity and drug discovery efforts. Convergent and modular approaches to synthesis have gained much attention in this regard. Among them nucleophilic substitution at C-1 has seen wide applications providing flexibility in synthesis, good yields, the ability to maneuver stereochemistry as well as to incorporate structural modifications. In this review, we briefly discuss on the modular synthesis of C-nucleosides with a focus on Mechanistic studies and sugar modifications that have resulted in potent lead molecules. In the meantime, Various FDA approved C-nucleoside analogues have been reported previously for their antiviral and/or anticancer potential being Pyrazomycin, remdesivir, pseudouridine, pseudouridimycin has been discussed.
Expression, Characterisation, Homology Modelling and Molecular Docking of a Novel M17 Family Leucyl-Aminopeptidase from Bacillus cereus CZ

Leucyl-aminopeptidase (LAP), an important metallopeptidase, hydrolyses amino acid residues from the N-terminus of polypeptides and proteins, acting preferentially on the peptide bond formed by N-terminus leucine. A new leucyl-aminopeptidase was found in Bacillus cereus CZ. Its gene (bclap) contained a 1485 bp ORF encoding 494 amino acids with a molecular weight of 54 kDa. The bcLAP protein was successfully expressed in E. coli BL21(DE3). Optimal activity is obtained at pH 9.0 and 58 °C. The bcLAP displays a moderate thermostability and an alkaline pH adaptation range. Enzymatic activity is dramatically enhanced by Ni2+. EDTA significantly inhibits the enzymatic activity, and bestatin and SDS also show strong inhibition. The three-dimensional model of bcLAP monomer and homohexamer is simulated byPHYRE2 server and SWISS-MODEL server. The docking of bestatin, Leu-Trp, Asp-Trp and Ala-Ala-Gly to bcLAP is performed using AutoDock4.2. 5, respectively. Molecular docking results show that the residues Lys260, Asp265, Lys272, Asp283, Asp342, Glu344, Arg346, Gly372 and His437 are involved in the hydrogen bonding with the ligands and zinc ions. There may be two nucleophilic catalytic mechanisms in bcLAP, one involving His 437 or Arg346 and the other involving His437 and Arg346. The bcLAP can hydrolyse the peptide bonds in Leu-Trp, Asp-Trp and Ala-Ala-Gly.
Customs intelligence and risk management in sustainable supply chain for general customs department logistics

In this descriptive analytical study conducted within the Jordanian Customs Department, the influence of Customs Intelligence and Risk Management on Sustainable Supply Chain practices and their subsequent effects on Customs Department Logistics were investigated. Data collected through a structured questionnaire distributed to department employees were analyzed using Smart PLS-4. The findings revealed that Customs Intelligence significantly shapes Sustainable Supply Chain practices, emphasizing the importance of data driven decision-making in achieving sustainability goals. Effective Risk Management strategies were found to positively contribute to Sustainable Supply Chain initiatives, highlighting the symbiotic relationship between risk mitigation and sustainability. Sustainable Supply Chain practices, in turn, were demonstrated to enhance the efficiency of Customs Department Logistics. Furthermore, the study unveiled that Sustainable Supply Chain acts as a mediator, enhancing the impact of both Risk Management and Customs Intelligence on Logistics outcomes. These findings collectively underscore the intricate dynamics of these factors in the context of the Jordanian Customs Department, providing valuable insights for optimizing logistics operations, ensuring compliance, and fostering sustainability. This paper contributes valuable insights and empirical evidence to the fields of customs-related logistics, risk management, sustainable supply chain management, and logistics operations within the Jordanian Customs Department. The paper provides recommendations that have the potential to inform and improve logistics practices, benefiting stakeholders in both the public and private sectors and advancing the understanding of these critical dynamics in the broader logistics and supply chain management discipline.
Book Bans in American Libraries: Impact of Politics on Inclusive Content Consumption

Banning of books has become increasingly prevalent and politically polarizing in the United States. While the primary goal of these bans is to restrict access to books, conversations about the bans have garnered attention on a wider scale. This increased attention to bans can either have a chilling effect or can influence consumers to read the banned books. In this study, we use a novel, large-scale dataset of US library book circulations and evaluate the impact of book bans on the consumption of banned books. Using a staggered difference-in-differences design, we find that the circulations of banned books increased by 12% on average compared to comparable non-banned titles after the ban. We also find that banning a book in a state leads to increased circulation in states without bans. We show that the increase in consumption is driven by books from lesser-known authors suggesting that new and unknown authors stand to gain from the increasing consumer support. Additionally, our results demonstrate that books with higher visibility on social media following the ban see an increase in consumption, suggesting a link between social media and political consumerism. We also find that book bans have a tangible political impact through campaign donations - Republican Party candidates attract significantly more campaign donations than Democratic candidates, following the ban events but only in Republican-leaning states.
Dynamicity of hydrogels and their diverse biological applications

Ever increasing use of hydrogels in various sectors of biology imposes the need of rigorous study of various aspects related to it. Its compatibility with the biological system makes it suitable candidate to achieve any complex application of such hydrogels in living systems. Depending upon the need, it can be modified chemically which in turn gives it desired physical properties. These modifications enable us the wide spectrum use of hydrogels for various purposes. Nature of response given by prepared hydrogels greatly varies according to the protocol followed while preparing such hydrogels. Slight change in the composition of hydrogels changes its properties and forms entirely new features bearing form. The overall architecture of hydrogel is designed in such a manner that it can be applicable in various regenerative and biomedical applications and still further modified to be used in novel different application fields. This review highlights preparation techniques being followed to fabricate hydrogels which are having major applications in biological fields. Properties of various hydrogels depending upon their compositions and material which give them new face and can be extrapolated to the new research area have also discussed further
Towards Access Pattern Aware Checkpointing For Kokkos Applications.

The common checkpoint philosophy, checkpoint everything as frequently as possible, is becoming ineffective as we progress towards exascale machines, facing shrinking time between failures. This makes portability and resilience vital for the future of HPC. This poster demonstrates the need and forms the foundation for enhancing checkpointing to take advantage of application proper-ties. Specifically, we show how access pattern aware checkpointing improves performance using incremental checkpoints of sparsely updated data as an example. We also define how the portable checkpointing abstractions in Kokkos Resilience can be modified to support such an enhancement transparently.
Moisture gradients in sawn timber during aggressive kiln drying investigated with X-ray computed tomography

ABSTRACT Reducing the time for drying sawn timber to a certain moisture level without deteriorating its quality is increasingly important for an economic and energy-efficient industrial timber-drying process and to support the transition to a sustainable society. It is, however, crucial to ensure that the quality of the timber, i.e. the degree of distortion, cracking, discolouration, and moisture variation within and between the pieces in a drying batch, is not compromised. Drying-simulation software tend to be too conservative in drying-rate recommendations, which has been observed in practise particularly for large cross-section timber of Norway spruce. This study investigated the drying rate and checking occurrence of centre-yielded Norway spruce planks when dried with more aggressive schedules than normally used in practise, i.e. using higher dry-bulb temperatures and/or lower relative humidities than recommended in the conventional optimisation programmes used in the sawmill industry in Sweden. The objective was to investigate the possibility to considerably reduce the total drying time without compromising the quality of the dried timber. The quality of the planks was indirectly assessed by estimating their moisture-content distributions, calculating the moisture gradients and monitoring checking. This was achieved with 4D (3D + time) X-ray computed tomography and a recently developed image processing algorithm based on elastic image registration. The key findings in this study suggest that Norway spruce timber can be dried with significantly higher temperatures and lower relative humidities than suggested by simulations, leading to reduced total drying time without inducing checking. This methodology can help to improve the design of drying schedules to reduce drying time and energy consumption while maintaining timber quality at a level accepted by the customers.