Miracle-dz/UniFAR-FTUs huggingface dataset:
Geologic map of the Terra Cimmeria-Nepenthes Mensae transitional zone, Mars – 1:1.45Million

ABSTRACT A 1:1.45Million geologic map of NW Terra Cimmeria and SE Nepenthes Mensae (-5°31’–5°38’ N, 119°20’–129°55’ E) is presented here, displaying one of the highland-lowland transitional zones of Mars with greatest contrast and diversity. The Terra Cimmeria-Nepenthes Mensae Transitional Zone comprises two complex and poorly studied geologic domains bounded by the dichotomy escarpment. The map produced in this work displays nineteen geologic units and numerous geomorphic features. Detailed mapping, morphologic and morphometric analyses and Poisson model-derived ages have permitted to constrain the stratigraphy of this transitional zone and reconstruct more accurately its geological history from the Early Noachian to recent times, suggesting a significant period of fluvial activity within the Early Amazonian. The map provides insight into the processes involved in the origin and development of this transitional zone and offers a reference geologic framework for future studies in the region.
Processing technology and quality of functional fiber enriched chicken meat bullets from spent hen meat

The formulation and processing technology for the development of functional chicken meat bullets from spent hen meat was standardized and effect of incorporation of different levels of maltodextrin as source of fiber viz. T-1, T-2, T-3 containing 2, 4, 6% maltodextrin, respectively were analyzed in developed products for the physico-chemical, compositional, textural and sensory attributes. Emulsion stability, cooking yield and water activity followed an increasing trend (P<0.05) with the increase in level of maltodextrin in formulation. The moisture content, crude fiber and estimated carbohydrate were significantly higher (P<0.05) in all the treated products, whereas % protein, % fat, % ash content, energy value were lower than control. Instrumental textural attributes viz. Hardness, Chewiness and Gumminess significantly decreased, whereas Resilience increased(P<0.05)in the treatments than control. The mean flavour and overall acceptability scores were lowest in T-3 and highest in T-2. The developed product had 9 times higher fiber content than control and fulfills upto 12.5% of recommended dietary allowance(RDA) of adult human and lower calories. On the basis of improved nutritive quality, sensory scores, higher emulsion stability, cooking yield and better textural characteristics, 4 percent level (T2) of incorporation of maltodextrin was selected for the development of fiber enriched chicken meat bullets.
Antimicrobially Active Zn(II) Complexes of Reduced Schiff Bases Derived from Cyclohexane-1,2-diamine and Fluorinated Benzaldehydes—Synthesis, Crystal Structure and Bioactivity

A series of Schiff base ligands obtained by the condensation of trans-cyclohexane-1,2-diamine and fluorinated benzaldehydes were prepared, followed by their reduction with NaBH4. The reduced ligands were employed in the synthesis of zinc complexes of the general formula [ZnCl2(L)]. The structures of both the original and the reduced Schiff bases, as well as of the zinc complexes, were characterized by single-crystal X-ray analysis, along with NMR and IR spectroscopy. The antimicrobial activities of the reduced Schiff bases and their zinc complexes were evaluated in vitro against E. coli, S. aureus, and C. albicans. The compounds containing the 4-(trifluoromethylphenyl) moiety showed marked antibacterial activity. Interestingly, the antimicrobial effect of the zinc complex with this moiety was significantly higher than that of the corresponding free reduced ligand, comparable with ciprofloxacin used as standard. Thus, a synergic effect upon the complexation with zinc can be inferred.
The Role of Magnetic Resonance Venography in Headache Due to Suspected Cerebral Venous Sinus Thrombosis in the Presence of Normal T1 and T2 Dural Sinus Signal

OBJECTIVES Cerebral venous sinus thrombosis (CVST) is an important but uncommon aetiology of stroke. The presentation of CVST is extremely variable clinically, moreover its onset can be either acute or subacute, and less frequently, chronic. Headache is the most common symptom of CVST. The headache is typically diffuse and progressing in severity over days to weeks. MRI and MRV have very high sensitivity and specificity and have become the modality of choice to confirm the diagnosis of CVST. The aim of this study was to weigh the benefits of added MRV in patients with headache, after a negative MRI for CVST. METHODOLOGY The total number of patients included was 207, with chief complaints of headache and suspicion of CVST. The MRV sequence used was dynamic coronal by using the time-of-flight technique. The diagnosis of CVST was made by the loss of normal signal void both on T1WI and T2WI as well as on non-visualization on MRV.RESULTSOut of these 207 patients, CVST was present in 52 patients. Superior sagittal sinus was involved in 8 cases, right transverse sinus in 2 cases, left transverse sinus in 7 cases, left sigmoid sinus in 3 cases, and multiple sinuses in 32 cases. 34 cases out of 52 had infarction which was mostly haemorrhagic i.e. 27. A total of 97 cases (46%) had aplastic/hypoplastic transverse segments which were mostly the left one (87, 42%) and 10 cases (4.8 %) on the right side. In none of the patients, CVST was picked by MRV alone after a negative T1 and T2 MRI. CONCLUSION In patients presenting with headache and suspected CVST additional MRV is only required if the routine MR sequences are not able to pick up the thrombus and the suspicion of CVST is very high.
Early Versus Delayed Oral Anticoagulation in Patients With Acute Ischemic Stroke Due to Atrial Fibrillation: A Meta-Analysis

The aim of this study was to compare the safety and efficacy of early oral anticoagulation with delayed anticoagulant therapy in patients who have had a recent stroke and have atrial fibrillation (AF). This meta-analysis was conducted following the Preferred Reporting Items for Systemic Reviews and Meta-analyses (PRISMA) statement. The literature search was independently performed by two authors. We searched PubMed and Scopus using search strings that included the following terms: "stroke," "atrial fibrillation," "oral anticoagulants," "recurrent stroke," and "intracerebral hemorrhage. " Our search spanned from the inception of databases to May 25, 2023. The primary outcome assessed in this study was the composite efficacy outcome (as defined by individual studies). Recurrent ischemic stroke (IS), intracranial hemorrhage (ICH), and death from any cause were assessed as secondary outcomes. For safety analysis, bleeding events were compared between the two study groups. We included five articles in this meta-analysis, comprising a total of 7958 patients (including 3793 in the early treatment group and 4165 in the delayed treatment group). Pooled analysis showed that the risk of composite efficacy outcome (RR: 0.69, 95% CI: 0.51-0.93, p-value: 0.01) and recurrent ischemic stroke (RR: 0.71, 95% CI: 0.53-0.94, p-value: 0.02) were lower in the early treatment group. However, no significant differences were observed between the two groups in terms of all-cause mortality, intracranial hemorrhage, or bleeding events. In light of the findings, healthcare professionals should carefully evaluate the risks and benefits of early versus delayed DOAC treatment in individual patients, considering factors such as stroke severity, bleeding risk, and patient preferences.
Optimum Design of Steel Frames Considering Uncertainty of Parameters

1. Abstract A hybrid approach of optimization and anti-optimization is presented for worst-case seismic design of steel building frames. Uncertainties are considered in yield stresses and cross-sectional geometries of members. The concept of unknown-but-bounded is introduced, and the parameters are assumed to exist in a bounded region of uncertainty. An anti-optimization problem is formulated for finding the worst value of the global response defined by the maximum value of the interstory drift among all the stories. Optimal cross-sections of beams and columns are then selected from the list of available sections under constraints on worst responses. The regions of uncertainty of parameters are discretized into several values, and a heuristic approach called tabu search is used for optimization and anti-optimization. It is shown in the numerical examples that a good approximate solution of the global optimal solution, which can be found by enumeration, is successfully found by tabu search within practically acceptable number of analyses. A random selection approach is also carried out to efficiently find approximate solutions. 2. Keywords: Uncertainty, Steel frame, Seismic response, Anti-optimization, Tabu search
SVM Based Automatic Classification of Human Stomach Cancer with Optical Coherence Tomography Images

Classification is carried out by SVM and human with 1539 normal and 1567 cancerous OCT images. Accuracy, sensitivity and specificity of human are 82.8%, 73.9%, 93.5%, and that of SVM are 91.3%, 95.3%, 87.2%.
Role of Glucose Metabolic Reprogramming in Breast Cancer Progression and Drug Resistance

Simple Summary Glucose metabolic reprogramming is a process in which cells alter the way that glucose is utilized. In breast cancer, cells can undergo this process to fuel their growth, acquire drug resistance, and become metastatic. Scientists have been studying this process to identify new targets for breast cancer treatment. By understanding what enzymes and pathways are involved, researchers may be able to develop drugs that specifically target these pathways, ultimately leading to more effective and less toxic treatments for breast cancer in the future. Abstract The involvement of glucose metabolic reprogramming in breast cancer progression, metastasis, and therapy resistance has been increasingly appreciated. Studies in recent years have revealed molecular mechanisms by which glucose metabolic reprogramming regulates breast cancer. To date, despite a few metabolism-based drugs being tested in or en route to clinical trials, no drugs targeting glucose metabolism pathways have yet been approved to treat breast cancer. Here, we review the roles and mechanisms of action of glucose metabolic reprogramming in breast cancer progression and drug resistance. In addition, we summarize the currently available metabolic inhibitors targeting glucose metabolism and discuss the challenges and opportunities in targeting this pathway for breast cancer treatment.
A semi-analytical method to estimate the effective slip length of spreading spherical-cap shaped droplets using Cox theory

The Cox–Voinov law on dynamic spreading relates the difference between the cubic values of the apparent contact angle (θ) and the equilibrium contact angle to the instantaneous contact line speed (U). Comparing spreading results with this hydrodynamic wetting theory requires accurate data of θ and U during the entire process. We consider the case when gravitational forces are negligible, so that the shape of the spreading drop can be closely approximated by a spherical cap. Using geometrical dependencies, we transform the general Cox law in a semi-analytical relation for the temporal evolution of the spreading radius. Evaluating this relation numerically shows that the spreading curve becomes independent from the gas viscosity when the latter is less than about 1% of the drop viscosity. Since inertia may invalidate the made assumptions in the initial stage of spreading, a quantitative criterion for the time when the spherical-cap assumption is reasonable is derived utilizing phase-field simulations on the spreading of partially wetting droplets. The developed theory allows us to compare experimental/computational spreading curves for spherical-cap shaped droplets with Cox theory without the need for instantaneous data of θ and U. Furthermore, the fitting of Cox theory enables us to estimate the effective slip length. This is potentially useful for establishing relationships between slip length and parameters in numerical methods for moving contact lines.
Automated reasoning on trees with cardinality constraints

Arithmetical constraints are widely used in formal languages like regular expressions, tree grammars and paths. In XML they are used to impose bounds on the number of occurrences described by content models of schema languages (XML Schema, RelaxNG). In query languages (XPath, XQuery), they allow selecting nodes that have a bounded number of nodes reachable by a given path expression. Counting types and paths are thus natural extensions of their countless counterparts already regarded as the core constructs in XML languages and type systems. One of the biggest challenges in XML is to develop automated techniques for ensuring static-type safety and optimization techniques. To this end, there is a need to solve some basic reasoning tasks that involve constructions such as counting XML schemas and XPath expressions. Every compiler of XML programs will have to routinely solve problems such as type and path type- checking, for ensuring at compile time that invalid documents can never arise as the output of XML processing code. This thesis studies efficient reasoning frameworks able to express counting constraints on tree structures. It was recently shown that the mu-calculus, when extended with counting constraints on immediate successor nodes is undecid able over graphs. Here we show that, when interpreted over ﬁnite trees, the logic with counting constraints is decidable in single exponential time. Furthermore, this logic allows more general counting operators. For example, the logic can pose numerical constraints on number of ancestors or descendants. We also present linear translations of counting XPath expressions and XML schemas into the logic.
Application of computational approaches in biomembranes: From structure to function

Biological membranes (biomembranes) are one of the most complicated structures that allow life to exist. Investigating their structure, dynamics, and function is crucial for advancing our knowledge of cellular mechanisms and developing novel therapeutic strategies. However, experimental investigation of many biomembrane phenomena is challenging due to their compositional and structural complexity, as well as the inherently multi‐scalar features. Computational approaches, particularly molecular dynamics (MD) simulations, have emerged as powerful tools for addressing the atomic details of biomembrane systems, driving breakthroughs in our understanding of biomembranes and their roles in cellular function. This review presents an overview of the latest advancements in related computational approaches, from force fields and model construction to MD simulations and trajectory analysis. We also discussed current hot research topics and challenges. Finally, we outline future directions, emphasizing the integration of force field development, enhanced sampling techniques, and data‐driven approaches to accelerate the growth of this field in the years to come. We aim to equip readers with an understanding of the promise and limitations of emerging computational technologies in biomembrane systems and offer valuable recommendations for future research endeavors.
Implementation of a new algorithm resulting in improvements in accuracy and resolution of SEVIRI hotspot products

ABSTRACT Active wildfire detection, surveillance and mapping is an important application of satellite remote sensing. The Active Fire Monitoring (FIR) products, from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board the Meteosat Second Generation (MSG) satellites, provide rapid-fire detection data every 5 to 15 over the European and African continents. However, the real world application of this high temporal frequency data is hindered due to the product spatial resolution of 3 3, thus limiting the application in fire surveillance and mapping activities. This letter implements a modified version of the Advanced Himawari-8 Imager – Fire Surveillance Algorithm (AHI-FSA) for SEVIRI with the aim of improving the spatial resolution of fire activity mapping. Initial results demonstrate the algorithm was able to improve the resolution of fire detection from 3 3 km to 1 1 km and simultaneously reduce the commission and omission errors by 25% and 16% respectively.
Mutaciones en los genes PDGFRA, KIT y KDR en pacientes con glioblastoma se relacionan con un peor desenlace

Introducción: existen varios Receptores Tirosina Quinasa que están involucrados en el desarrollo, crecimiento y progresión de las células tumorales, por ejemplo, en los glioblastomas se ha encontrado que por un posible desequilibrio de ligamiento los genes PDGFRA, KIT y KDR, ubicados en el brazo largo del cromosoma 4 (4q11-q12), podrían estar relacionados con la progresión de esta neoplasia. Objetivo: reportar dos casos clínicos de pacientes con diagnóstico de glioblastoma y mutaciones en los genes PDGFRA, KIT, KDR, y su relación con un peor desenlace. Casos clínicos: en este artículo se presenta el caso de dos pacientes con glioblastomas que presentan mutaciones en los genes anteriormente mencionados resultado de la secuenciación de un panel genético que evalúa 324 genes y 37 fusiones génicas y la progresión clínica acelerada durante el transcurso de la enfermedad. Conclusión: los cambios producidos en los glioblastomas por las mutaciones en los receptores tirosina quinasa a nivel biológico podrían describir una mayor capacidad proliferativa del tumor, lo que en el ámbito clínico se ha evidenciado como un peor pronóstico para el paciente, de ahí nace la necesidad de tener paneles genéticos que ayuden a identificar el perfil tumoral, e incentivar más estudios clínicos relacionados a fármacos que tengan como objetivo dichos receptores.
Gut microbiota changes in nonalcoholic fatty liver disease and concomitant coronary artery disease

Background and the research aim: Nonalcoholic fatty liver disease (NAFLD) bears serious economic consequences for the health care system worldwide and Ukraine, in particular. Cardiovascular diseases (CVD) are the main cause of mortality in NAFLD patients. Changes in the gut microbiota composition can be regarded as a potential mechanism of CVD in NAFLD patients. The research aim was the investigation changes in major gut microbiota phylotypes, Bacteroidetes , Firmicutes , and Actinobacteria with quantiﬁ cation of Firmi-cutes/Bacteroidetes in NAFLD patients with concomitant CVD. Materials and methods: There were 109 NAFLD subjects (25 with concomitant arterial hypertension [AH] and 24 with coronary artery disease [CAD]) enrolled. The gut microbiota composition was assessed by qPCR. Results and conclusions: There was a marked tendency towards an increase in the concentration of Bacte-roidetes (by 37.11% and 21.30%, respectively) with a decrease in Firmicutes (by 7.38% and 7.77%, respectively) found in both groups with comorbid CAD and AH with the identiﬁ ed changes not reaching a statistical signiﬁ cance. A statistically signiﬁ cant decrease in the concentration of Actinobacteria was revealed in patients with NAFLD with concomitant CAD at 41.37% ( p <0.05) as compared with those with an isolated NAFLD. In patients with concomitant AH, the content of Actinobacteria dropped by 12.35%, which was statistically insigniﬁ cant. There were changes found in the intestinal microbiota composition, namely decrease in Actinobacteria in patients with CAD, which requires further research.
THE MEDIATING ROLE OF ACADEMIC SELF-CONCEPT IN THE LINKAGE BETWEEN TEACHER SUPPORT AND ACADEMIC PROFICIENCY AMONG SECONDARY EFL LEARNERS

Based on social support theory, this study aims to verify that the relationship between teacher support and academic proficiency is mediated by academic self-concept in teaching English as a foreign language (EFL) settings. Seventh-grade students (n = 206) and eighth-grade students (n = 293) in a middle school were invited to participate in the questionnaire survey. Structural equation modelling (SEM) and mediation analysis examined the relationship between teacher support, academic self-concept, and academic proficiency among 499 secondary EFL learners. There are three significant findings. First, teacher support positively predicts academic proficiency. Second, academic self-concept was positively correlated with academic proficiency. Third, academic self-concept fully mediated the relationship between teacher support and academic proficiency. This study contributes to the literature by exploring the mediating mechanism between teacher support and academic proficiency in the EFL context. Implications, limitations, and directions for future research are discussed. Article visualizations:
Demographics and Clinical Characteristics of Patients With Opioid Use Disorder and Offered Medication-Assisted Treatment in the Emergency Department

Background and objective The opioid use disorder (OUD) epidemic is a persistent public health crisis in the United States. Medication-assisted treatment (MAT) with opioid agonists, including buprenorphine, is an effective treatment and is commonly initiated in the emergency department (ED). This study describes the demographics and clinical characteristics of OUD patients presenting to the ED and evaluated for MAT. Methodology A retrospective, single-center descriptive study of 129 adult patients presenting to the ED between July 2018 and July 2020 with OUD and evaluated for MAT. Results A total of 129 patients were assessed for MAT. About half (53%) received MAT; the remaining received only a referral (35%) or declined any intervention (12%). The median age was 36 years interquartile range (IQR, 28-46 years) and predominantly male (73%), single (65%), white (73%), unemployed (57%) with public insurance (55%), and without a primary care physician (58%). Majority of the patients presented with opioid withdrawal (62%) or intoxication (15%), while 23% presented with other complaints. About half of the patients (51%) were discharged with a naloxone kit. The majority of the patients were induced with buprenorphine with 4 mg or less (54%) and only 6% of patients received repeat dosing. Conclusions Male, white patients who are unmarried and unemployed, lack primary care follow-up, and rely on public insurance are more likely to be candidates for MAT. Providers should always maintain a high suspicion of opioid misuse and optimize treatment for those in withdrawal. Understanding these characteristics in conjunction with recent health policy changes will hopefully guide and encourage ED-initiated interventions in combating the opioid crisis.
DESAIN DAN SIMULASI CUK CONVERTER DENGAN PI-FUZZY CONTROLLER UNTUK PENGISIAN BATERAI

Berkembang pesatnya pemanfaatan energi terbarukan salah satunya energi untuk pemanfaatan sinar matahari dengan menggunakan panel surya, dimana panel surya berfungsi untuk mengubah energi matahari ke energi listrik. Sinar matahari dapat diperoleh secara gratis serta ramah lingkungan. Terdapat banyak kelebihan dari pemanfaatan energi matahari melalui panel surya namun terdapat kekurangan menggunakan panel surya salah satunya adalah panel surya menghasilkan listrik yang berfluktuasi tergantung dengan iradiasi sehingga menghasilkan tegangan keluaran yang tidak konstan. Untuk proses pengisian baterai bergantung dengan iradiasi sehingga proses pengisian baterai tidak dapat optimal. Oleh karena itu untuk mengatasi permasalahan tersebut maka dirancangkan sebuah sistem yaitu menggunakan CUK Converter dengan PI-Fuzzy Controller yang digunakan untuk mengatur tegangan output yang konstan untuk proses pengisian baterai. Hasil dari simulasi menunjukkan bahwa PI-Fuzzy Controller dapat mengontrol tegangan keluaran Cuk Converter yang konstan, dengan cara mengubah-ubah iradiasi mulai dari 1000W/m2 sampai 500W/mdihasilkan error tegangan keluaran sebesar 0.30%. Hal ini menunjukkan bahwa kontrol PI-Fuzzy dapat mencapai steady state cepat dan error tegangan keluaran yang kecil