Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizing EPR spectroscopy to investigate the liquid adsorption properties of bimetallic MIL-53(Al/Cr) MOF

The flexibility of the MIL-53(M) metal–organic framework (MOF) has been elucidated through various characterization methodologies, particularly in gas and liquid adsorption processes. However, to the best of our knowledge, there has been no prior electron paramagnetic resonance (EPR) characterization of liquid-phase adsorption in the MOF MIL-53(M), which offers insights into local geometric changes at the oxygen octahedron containing the metal ions of the framework. In this study, we investigate, for the first time, the pore transformations within the MIL-53(Al0.99Cr0.01) framework during liquid-phase adsorption using EPR spectroscopy. Our investigation concentrates explicitly on the adsorption of pure solvents, including water, methanol, ethanol, isopropanol, pyridine, and mixed water/methanol phases. The EPR spectroscopy on the (Al0.99Cr0.01) MOF has allowed us to witness and comprehend the transitions between the narrow pore and large pore phases by examining changes in the zero-field splitting parameters of the S = 3/2 Cr(iii) species. Of all the solvents examined, a robust and distinct spectral feature observed during methanol adsorption unequivocally indicates the pore opening.
The effect of the Wenchuan earthquake and government aid on rural households

This chapter discusses the impact of the 2008 Sichuan earthquake on household income, consumption, and income inequality using a unique dataset collected in rural Sichuan. We find that household income fell by 14 percent because of the earthquake and that income inequality did not increase. With regard to government support, living subsidies were more than enough to offset losses in annual income, but reconstruction aid, such as grants and bank loans for housing, accounted for less than 60 percent of total house-rebuilding costs.
Artificial intelligence in conservative dentistry and endodontics: A game-changer

Artificial intelligence (AI) technology has mostly been used by dental practitioners to diagnose problems, plan treatments, make clinical judgments, and predict outcomes. In endodontics, convolutional neural networks and artificial neural networks, two types of (AI) models, have been used to study the anatomy of the root canal system, measure the length of root canal, identify periapical pathology and root fractures, prediction of success of retreatment procedures, and dental pulp stem cells viability. The goal of this review is to assess AI’s role in conservative dentistry and endodontics.
Phospholysine phosphohistidine inorganic pyrophosphate phosphatase suppresses insulin‐like growth factor 1 receptor expression to inhibit cell adhesion and proliferation in gastric cancer

Abstract Phospholysine phosphohistidine inorganic pyrophosphate phosphatase (LHPP) has recently emerged as a novel tumor suppressor. Researchers have observed that LHPP plays a crucial role in inhibiting proliferation, growth, migration, invasion, and cell metabolism across various cancers. Nevertheless, the specific functions and underlying mechanisms of LHPP as a tumor suppressor in gastric cancer (GC) require further exploration. The expression of LHPP was assessed in human GC specimens and cell lines. Various assays were employed to evaluate the impact of LHPP on GC cells. RNA sequencing and Gene Set Enrichment Analysis were conducted to unravel the mechanism through which LHPP regulates GC cell behavior. Additionally, xenograft nude mouse models were utilized to investigate the in vivo effects of LHPP. The findings indicate that LHPP, functioning as a tumor suppressor, is downregulated in both GC tissues and cells. LHPP emerges as an independent risk factor for GC patients, and its expression level exhibits a positive correlation with patient prognosis. LHPP exerts inhibitory effects on the adhesion and proliferation of GC cells by suppressing the expression of insulin‐like growth factor 1 receptor (IGF1R) and modulating downstream signaling pathways. Consequently, LHPP holds potential as a biomarker for targeted therapy involving IGF1R inhibition in GC patients.
Effectiveness of Kinematic Alignment-Total Knee Arthroplasty in Treating Preoperative Varus and Valgus Deformities in Patients With Knee Osteoarthritis

Knee osteoarthritis (OA) is surgically treated with total knee arthroplasty (TKA). Traditionally, TKA has been performed using a mechanical alignment (MA) philosophy. However, due to significant patient dissatisfaction with surgical outcomes, an alternate alignment approach, kinematic alignment (KA), has gained popularity. KA-TKAs have improved functional patient outcomes by restoring the patient's native joint line orientation and minimizing soft tissue releases compared to neutral alignment in MA-TKAs. This review explores the postoperative effectiveness of utilizing KA-TKA to treat knee OA in patients with preoperative varus and valgus deformities. A comprehensive literature search was conducted on PubMed and Biomed Central databases, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The literature search focused on studies analyzing the postoperative TKA outcomes in knee OA patients with preoperative varus or valgus deformities whose surgeries followed a KA philosophy and those comparing KA-TKA with MA-TKA. The available clinical evidence indicates that KA-TKA can be a viable treatment option for individuals with knee OA. The alignment of phenotypes has little clinical significance concerning functional outcomes and implant survival rates following KA-TKA. Furthermore, surgery outcomes in patients with preoperative deformities who underwent KA-TKA were similar to those who underwent MA-TKA. KA-TKA produced significantly better functional outcomes than MA-TKA in certain aspects. However, studies with larger sample sizes and more extended follow-up periods that directly compare KA-TKA with MA-TKA in treating knee OA patients are needed to fully demonstrate the efficacy of each technique. Furthermore, further research into the effects of KA-TKA on implant survival rates will provide a better understanding of the benefits of this technique and ultimately lead to improved patient outcomes.
Limited midlevel mediation of visual crowding: Surface completion fails to support uncrowding

Visual crowding refers to impaired object recognition that is caused by nearby stimuli. It increases with eccentricity. Image-level explanations of crowding maintain that it is caused by information loss within early encoding processes that vary in functionality with eccentricity. Alternative explanations maintain that the interference is not limited to two-dimensional image-level interactions but that it is mediated within representations that reflect three-dimensional scene structure. Uncrowding refers to when adding stimulus information to a display, which increases the noise at an image level, nonetheless decreasing the amount of crowding that occurs. Uncrowding has been interpreted as evidence of midlevel mediation of crowding because the additional information tends to provide an opportunity for perceptually organizing stimuli into distinct and therefore protected representations. It is difficult, however, to rule out image-level explanations of crowding and uncrowding when stimulus differences exist between conditions. We adapted displays of a specific form of uncrowding to minimize stimulus differences across conditions, while retaining the potential for perceptual organization, specifically perceptual surface completion. Uncrowding under these conditions would provide strong support for midlevel mediation of crowding. In five experiments, however, we found no evidence of midlevel mediation of crowding, indicating that at least for this version of uncrowding, image-level explanations cannot be ruled out.
Using In-Situ Aerosol Optical Properties to Develop a Novel Air Quality Monitoring and Diagnostic Tool

Air quality in urban areas is degraded by locally emitted aerosols and gaseous precursors as well as aerosols that have been transported from other areas. Increased amounts of particulate pollutants are associated with respiratory and cardiac ailments as well as adverse birth outcomes. Aerosols also have an important impact on the Earth's climate via direct and indirect effects. However, there is large uncertainty in how much of an impact aerosols actually have. The work presented here uses the optical properties of urban aerosols to create a new tool which has the potential to be used to differentiate aerosol source, as well as understanding the impact pollution has on the climate. The Cloud and Aerosol Spectrometer with Polarization (CASPOL) was operated in the field for the first time as a part of NASA's Deriving Information of Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ). The CASPOL was mounted on top of the 70 meter tall Moody Tower and took continuous samples during the month of September 2013. Aerosol sources can be distinguished using the CASPOL data. When aerosol concentrations are greater than 100 L−1, the CASPOL can distinguish aerosol source with only approximately one hour of data. Thus the CASPOL can be used as an air quality monitoring and diagnostic tool as it can determine aerosol source in near real time. To better understand the impact pollution has on the Earth's climate, soot was generated in our laboratory and the optical properties were examined. Also, soot was used to generate ice crystals in the Texas A&M University Continuous Flow Diffusion Chamber (CFDC) which was used in conjunction with the CASPOL to measure the optical properties of ice nucleated on soot. The optical properties of
Conservación de la biodiversidad acuática en el Sureste Ibérico : métodos y estrategias a partir de inventarios de coleópteros acuáticos = Conservation of freshwater biodiversity in southeastern Spain : methods and approaches from water beetle data.

La presente tesis doctoral aborda distintas estrategias y metodologias en el contexto de la conservacion de la biodiversidad de ecosistemas de aguas continentales en el Sureste Iberico, utilizando inventarios de coleopteros acuaticos. En primer lugar, se propone un metodo para evaluar la vulnerabilidad de especies y para asignar prioridades de conservacion a especies y poblaciones, especialmente insectos. Las especies de coleopteros acuaticos de dos provincias espanolas del sureste de la Peninsula Iberica son clasificadas de acuerdo a su prioridad de conservacion a escala local, nacional y global tomando en cuenta un conjunto de seis variables: distribucion general, endemicidad, rareza, persistencia, rareza del habitat y perdida de habitat. Ochthebius glaber, O. irenae, O montesi, O. albacetinus e Hydraena mecai aparecieron como las mas vulnerables. La proteccion efectiva de estas especies requiere medidas dirigidas a la conservacion de sus habitats. A continuacion, se compara la eficacia de diferentes metodos de seleccion de areas, variando desde indices tradicionales hasta algoritmos basados en el principio de complementariedad, teniendo en cuenta diferentes criterios como riqueza, rareza y vulnerabilidad. Los metodos de complementariedad fueron mas eficaces que los indices y los hotspots de riqueza y rareza a la hora de representar los objetivos de conservacion en un numero determinado de areas y para identificar un conjunto minimo de areas que recojan todas las especies al menos una vez. Dentro de estos, el algoritmo basado en la riqueza fue mas eficiente que el basado en la rareza de las especies. Los habitats de mayor interes para la conservacion de la biodiversidad de ecosistemas acuaticos en el area estudiada son los arroyos de media altitud, los arroyos hipersalinos y los complejos karsticos y endorreicos. Como complemento a la seleccion de areas de interes de conservacion, se estudia el rendimiento de las
Beyond the Meso/Macroporous Boundary: Extending Capillary Condensation-Based Pore Size Characterization in Thin Films Through Tailored Adsorptives

The characterization of thin films containing nanopores with diameters exceeding 50 nm poses significant challenges, especially when deploying sorption-based techniques. Conventional volumetric physisorption or mercury intrusion methods have limited applicability in thin films due to constraints in sample preparation and nondestructive testing. In this context, ellipsometric porosimetry represents a viable alternative, leveraging its optical sensitivity to thin films. With existing setups relying on the capillary condensation of volatile compounds such as water, applicability is typically restricted to pore dimensions <50 nm. In this study, we introduce two high-molar-mass hydrocarbon adsorptives, namely ethylbenzene and n-nonane. These adsorptives exhibit substantial potential in improving the accuracy of physisorption measurements beyond mesoporosity (i.e., >50 nm). Specifically, with n-nonane, applicability is extended up to 80 nm pores. Our measurement guidelines propose a nondestructive, expeditious (<60 min), low-pressure (<0.03 bar) approach to investigate nanoporous thin films with potential adaptability to diverse structural architectures.
Prevalence, antibiotic resistance, and genomic characterisation of Campylobacter spp. in retail chicken in Hanoi, Vietnam

Campylobacter spp. are a leading cause of bacterial foodborne zoonosis worldwide, with poultry meat and products recognised as a significant source of human infection. In Vietnam there are few data regarding the occurrence, antimicrobial resistance, and genomic diversity of Campylobacter in poultry and poultry meat. The aim of this study was to estimate the prevalence of Campylobacter in chicken meat at retail in Hanoi, determine antimicrobial sensitivities of the Campylobacter isolated, and assess their genetic diversity. A total of 120 chicken meat samples were collected from eight traditional retail markets (n=80) and four supermarkets (n=40). Campylobacter was isolated following ISO 10272-1 : 2017 and identification verified by PCR. The prevalence of Campylobacter was 38.3 % (46/120) and C. coli was the most prevalent species in both retail markets (74 %) and supermarkets (88 %). The minimum inhibitory concentrations for ciprofloxacin, erythromycin, gentamicin, nalidixic acid, streptomycin, and tetracycline were determined by broth microdilution for 32 isolates. All characterised Campylobacter were resistant to ciprofloxacin, nalidixic acid, and tetracycline, with corresponding resistance determinants detected in the sequenced genomes. Most C. coli were multidrug resistant (24/28) and two harboured the erythromycin resistance gene ermB on a multiple drug-resistance genomic island, a potential mechanism for dissemination of resistance. The 32 isolates belonged to clonal complexes associated with both poultry and people, such as CC828 for C. coli. These results contribute to the One Health approach for addressing Campylobacter in Vietnam by providing detailed new insights into a main source of human infection and can inform the design of future surveillance approaches.
A factor analytic description of the Phanerozoic marine fossil record

Data on numbers of marine families within 91 metazoan classes known from the Phanerozoic fossil record are analyzed. The distribution of the 2800 fossil families among the classes is very uneven, with most belonging to a small minority of classes. Similarly, the stratigraphic distribution of the classes is very uneven, with most first appearing early in the Paleozoic and with many of the smaller classes becoming extinct before the end of that era. However, despite this unevenness, a Q-mode factor analysis indicates that the structure of these data is rather simple. Only three factors are needed to account for more than 90% of the data. These factors are interpreted as reflecting the three great “evolutionary faunas” of the Phanerozoic marine record: a trilobite-dominated Cambrian fauna, a brachiopod-dominated later Paleozoic fauna, and a mollusc-dominated Mesozoic-Cenozoic, or “modern,” fauna. Lesser factors relate to slow taxonomic turnover within the major faunas through time and to unique aspects of particular taxa and times. Each of the three major faunas seems to have its own characteristic diversity so that its expansion or contraction appears as being intimately associated with a particular phase in the history of total marine diversity. The Cambrian fauna expands rapidly during the Early Cambrian radiations and maintains dominance during the Middle to Late Cambrian “equilibrium. ” The Paleozoic fauna then ascends to dominance during the Ordovician radiations, which increase diversity dramatically; this new fauna then maintains dominance throughout the long interval of apparent equilibrium that lasts until the end of the Paleozoic Era. The modern fauna, which slowly increases in importance during the Paleozoic Era, quickly rises to dominance with the Late Permian extinctions and maintains that status during the general rise in diversity to the apparent maximum in the Neogene. The increase in diversity associated with the expansion of each new fauna appears to coincide with an approximately exponential decline of the previously dominant fauna, suggesting possible displacement of each evolutionary fauna by its successor.
Induced Attenuation of Scleral TGF-β Signaling in Mutant Mice Increases Susceptibility to IOP-Induced Optic Nerve Damage

Purpose Axonal optic nerve (ON) damage in glaucoma is characteristically associated with increased amounts of active transforming growth factor-beta 2 (TGF-β2) in the ON head. Here we investigated the functional role of scleral TGF-β signaling in glaucoma. Methods A deficiency of Tgfbr2, which encodes for TGF-β receptor type II (TGF-βRII), the essential receptor for canonical TGF-β signaling, was induced in fibroblasts (including those of the sclera) of mutant mice. To this end, 5-week-old mice were treated with tamoxifen eye drops. Experimental glaucoma was induced in 8-week-old mice using a magnetic microbead (MB) model. After 6 weeks of high intraocular pressure (IOP), the ON axons and their somata in the retina were labeled by paraphenylenediamine (PPD) and RNA-binding protein with multiple splicing (RBPMS) immunohistochemistry, respectively, and quantified. Results Tamoxifen treatment resulted in a significant decrease of TGF-βRII and its mRNA in the sclera. After 6 weeks of high IOP, reduced numbers of PPD-stained ON axons were seen in MB-injected eyes in comparison with not-injected contralateral eyes. Moreover, MB injection also led to a decrease of retinal ganglion cell (RGC) somata as seen in RBPMS-stained retinal wholemounts. Axon loss and RGC loss were significantly higher in mice with a fibroblast specific deficiency of TGF-βRII in comparison with control animals. Conclusions We conclude that the ablation of scleral TGF-β signaling increases the susceptibility to IOP-induced ON damage. Scleral TGF-β signaling in mutant mice appears to be beneficial for ON axon survival in experimentally induced glaucoma.
Use of remotely sensed data to characterize weed competition in forest plantations

ABSTRACT Characterization of weed size using remotely sensed data could provide a useful means of scheduling post-plant weed control in plantation forests. Data from four forestry stands, which included field measurements of weed competition and multispectral data collected from an unmanned aerial vehicle (UAV) and satellite platform (WorldView3), were used to (i) develop models to predict overall weed percentage cover (C), height (H), and a competition index, CI, (C × H/100) derived from these two metrics; and (ii) determine the optimal spatial resolution for imagery from these two platforms for characterizing these measures of weed competition. Bivariate analysis of the three weed metrics showed the optimal spatial resolution to be 5 m for the WorldView3 data and 1 m for data obtained from the UAV. The best multiple regression models developed to predict C, H, and CI had coefficient of determinations (R2) of, respectively, 0.33, 0.68, and 0.56 for data derived from WorldView3 and, respectively, 0.56, 0.79, and 0.71 for data derived from the UAV. Vegetation indices, derived from the multispectral UAV data and satellite imagery, were strong predictors of weed metrics for all but one of the six models developed. These results suggest that it may be possible for forest managers to use satellite imagery and UAV data to schedule weed control operations.
Wireless Sensor Networks For Volcano Activity Monitoring: A Survey

Pemantauan gunung api merupakan salah satu bidang penerapan Wireless Sensor Network (WSN). WSN digunakan pertama kali untuk pemantauan gunung api di gunung Tungurahua, Ekuador Tengah pada tahun 2004. Selanjutnya diterapkan pada riset di gunung Reventador, Ekuador Utara dengan 16 sensor digunakan untuk menangkap sinyal seismik dan akustik. Pada kedua riset ini, desain jaringan dan algoritma dibangun untuk menangkap raw-data sinyal seismik dan akustik, dan mengirimnya ke base station . Seperti dua riset sebelumnya, proyek OASIS membangun WSN yang robust untuk memperoleh raw-data sebanyak-banyaknya dengan real time , kontinu dan kualitas sinyal yang high-fidelity. Berbeda dengan riset WSN untuk pemantauan gunung api sebelumnya, riset Rui Tan, dkk. dan Guojin Liu, dkk. mengembangkan WSN untuk pemantauan gunung api secara real time , in-situ dan long-lived tanpa transmisi raw-data ke base station. WSN dan algoritma didesain dengan membangun algoritma pemrosesan in-network untuk mendeteksi gempa vulkanik, menentukan onset time dari gelombang yang biasa muncul pada saat terjadi gempa.
Prognostic model for unresectable hepatocellular carcinoma treated with dual PD-1 and angiogenesis blockade therapy

Background and aims Dual programmed death 1 (PD-1) and angiogenesis blockade therapy is a frontline treatment for hepatocellular carcinoma (HCC). An accepted model for survival prediction and risk stratification in individual patients receiving this treatment is lacking. Aimed to develop a simple prognostic model specific to these patients. Approach and results Patients with unresectable HCC undergoing dual PD-1 and angiogenesis blockade therapy were included in training cohort (n=168) and validation cohort (n=72). We investigated the prognostic value of clinical variables on overall survival using a Cox model in the training set. A prognostic score model was then developed and validated. Predictive performance and discrimination were also evaluated. Largest tumor size and Alpha-fetoprotein concentration at baseline and Neutrophil count and Spleen volume change after 6 weeks of treatment were identiﬁed as independent predictors of overall survival in multivariable analysis and used to develop LANS score. Time-dependent receiver operating characteristic analysis, calibration curves, and C-index showed LANS score had favorable performance in survival prediction. Patients were divided into three risk categories based on LANS score. Median survival for patients with low, intermediate, and high LANS scores was 31.7, 23.5, and 11.5 months, respectively (p<0.0001). The disease control rates were 96.4%, 64.3%, and 32.1%, respectively (p<0.0001). The predictive performance and risk stratification ability of the LANS score were confirmed in validation and entire cohorts. Conclusion The LANS score model can provide individualized survival prediction and risk stratification in patients with unresectable HCC undergoing dual PD-1 and angiogenesis blockade therapy.