Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation between the Cognitive Status (SIRT1) and the Metabolic Function in Geriatric Patients Using the Indonesian Version of the Montreal Cognitive Assessment (MoCA-INA)

A growing life expectancy may result in a chronic medical condition and multimorbidity because the aging process leads to a decrease in cognitive and physiological function. These risks may affect the quality of life of geriatrics. The present study aims to determine the correlation between cognitive status (in terms of SIRT1, a nicotinamide adenine dinucleotide (NAD+)-dependent class III deacetylase) and metabolic function (in terms of the lipid profile, kidney function, and blood glucose) in geriatric patients. The differences in the parameters of metabolic function in the participants’ cognitive status were determined by using the Indonesian version of the Montreal Cognitive Assessments (MoCA-Ina). The elderly participants (n = 120) were recruited at three sites in Indonesia from March to October 2022. Our study demonstrated a negative correlation between the cognitive status of geriatric patients and their metabolic function, represented by the MoCA-Ina score with a linear regression equation of y = 0.27 − 2.4 ×10−3 x. Higher levels of LDL-C, cystatin C, and HbA1c were found in the Severe-Moderate Cognitive Impairment group. Determining the SIRT1 levels may be beneficial in predicting both the cognitive and metabolic status of geriatrics because this protein is among numerous metabolic sensors in the hypothalamus.
PyCloudSim: Modernized Cloud Computing Simulation Framework with the Incorporation of SFC

Cloud computing has become an important technology for providing on-demand resources to customers. However, the traditional networking architecture used in cloud computing faces several challenges, such as inflexible and static network infrastructure, high latency, and lack of visibility and control. To overcome these challenges, Software-Defined Networking (SDN) has emerged as a promising technology that separates the control plane from the data plane and provides dynamic control over network traffic. By combining both technologies, Network Service (NS), which emerged through Network Function Virtualization (NFV) as Virtual Machine or Container, has become the favourable deployment method for infrastructures such as 5G core or LoraWan stack. However, conducting research in related areas is still challenging due to the cost and technical difficulties of implementing appropriate laboratory environments. Simulation tool such CloudSim or CloudSim Plus is still focused on cloud computing and lack incorporation of the concept of a Service Function Chain. Hence, in this paper, we present a discrete event simulation framework with enhanced cloud computing simulation, network simulation, and support for NS and SFC with realistic API call simulation.
Accumulation of Interference of Modulation Schemes of Communications in Saturated Traffic Flows

The continuous growth in high-volume transport stream demand necessitates spectrally efficient modulation schemes resilient to interference. This research investigates interference accumulation in trellis-coded modulation (TCM), differential quadrature phase shift keying (DQPSK), offset quadrature phase shift keying (OQPSK), Feher-patented quadrature phase shift keying (FQPSK), and differential binary phase shift keying (DBPSK). Interference is modeled as a non-stationary stochastic process with random power fluctuations. Mathematical modeling and simulations quantify and characterize the interference resilience of each scheme. Results demonstrate OQPSK exhibits the highest resilience due to its constant envelope and time-offset transmissions. In contrast, DQPSK and DBPSK are highly susceptible to performance degradation from interference. This research provides interference models and performance assessments to identify optimal modulation techniques for emerging high-volume transport stream applications and inform standards development
Stepwise Transfer Learning and Convolutional Neural Network based Partial Discharge Pattern Recognition Method for Generator Stators

Artificial intelligence algorithms, especially convolutional neural networks (CNNs), have made significant progress in generator stator partial discharge (PD) identification, which requires a large number of marked partial discharge data. However, it is difficult to obtain a sufficient number of partial discharge samples and identify their types under onsite conditions for model training. Transfer learning (TL) is a method that can transfer the knowledge learned from a large sample domain to a small sample domain, enabling effective knowledge utilization in the latter. With the purpose of addressing the data dilemma of CNN methods, a stepwise transfer learning CNN (SWTL-CNN) based on limited samples was proposed. To verify the proposed method, the internal defects, slot defects and defects in the end-winding were made to obtain the phase resolved partial discharge (PRPD). For each type of defect,5, 10, 15, 20 and 25 sets of PRPDs were randomly selected as the training set to train SWTL-CNN, and 400 sets of PRPDs were used for validation. The experiments demonstrated that the proposed method achieved a highest recognition accuracy of 98.4%, which confirmed its effectiveness in dealing with pattern recognition of generator stators with limited samples.
Dementia with Lewy bodies

Objectives: To investigate clinical, imaging, and pathologic associations of the cingulate island sign (CIS) in dementia with Lewy bodies (DLB). Methods: We retrospectively identified and compared patients with a clinical diagnosis of DLB (n = 39); patients with Alzheimer disease (AD) matched by age, sex, and education (n = 39); and cognitively normal controls (n = 78) who underwent 18F-fluorodeoxyglucose (FDG) and C11 Pittsburgh compound B (PiB)-PET scans. Among these patients, we studied those who came to autopsy and underwent Braak neurofibrillary tangle (NFT) staging (n = 10). Results: Patients with a clinical diagnosis of DLB had a higher ratio of posterior cingulate to precuneus plus cuneus metabolism, cingulate island sign (CIS), on FDG-PET than patients with AD (p < 0.001), a finding independent of β-amyloid load on PiB-PET (p = 0.56). Patients with CIS positivity on visual assessment of FDG-PET fit into the group of high- or intermediate-probability DLB pathology and received clinical diagnosis of DLB, not AD. Higher CIS ratio correlated with lower Braak NFT stage (r = −0.96; p < 0.001). Conclusions: Our study found that CIS on FDG-PET is not associated with fibrillar β-amyloid deposition but indicates lower Braak NFT stage in patients with DLB. Identifying biomarkers that measure relative contributions of underlying pathologies to dementia is critical as neurotherapeutics move toward targeted treatments.
First Results from the UnderVolc High Resolution Seismic and GPS Network Deployed on Piton de la Fournaise Volcano

Recent advances in volcano seismology such as the measurement from seismic noise of subtle decreases of seismic velocities preceding volcanic eruptions (Brenguier et al. 2008; Duputel et al. 2009) or the precise localization of volcano-hydrothermal microseismic tremor sources (Taisne et al. 2011; Cros et al. 2011) have emerged from the analysis of long-term, continuous, and high-quality seismic data. There is thus an increasing need for high-resolution continuous seismic data in volcanic environments to improve our knowledge of fundamental volcanic processes such as deep magma transfers, volcanic unrest, magma transport, and eruptions. With 30 eruptions since 2000, Piton de la Fournaise volcano (La Reunion Island) has been among the most active volcanoes worldwide. This volcano emits basaltic lavas with volumes ranging from less than 1 million cubic meters to hundreds of millions of cubic meters. Piton de la Fournaise volcano has been monitored since 1979 from a permanent observatory that since 1999 has recorded continuous seismic and deformation data. Since 2009, we have deployed new broadband seismic and GPS stations under the framework of the UnderVolc research project. Most of the temporary stations are being converted to permanent stations, and the continuous seismic waveforms are publicly available by standard netdc requests. Within this paper, we will provide technical information about the deployed UnderVolc broadband seismic and GPS stations. We will also present data quality measurements from a noise spectral analysis using PQLX (McNamara and Buland 2004). We will show examples of seismic records during volcanic crisis and present novel results from the new seismic velocity monitoring method (Brenguier et al. 2008) using the new network. Finally, we will present some results of long-term displacement rates of the Piton de la Fournaise edifice flank using GPS data. Piton de la Fournaise volcano is a hot-spot shield volcano located on La …
Anfibios del Valle de Zongo (La Paz, Bolivia): I. Evaluación del estado de conservación Amphibians in Zongo valley (La Paz, Bolivia): I. Assessment of the conservation status

This is a cross sectional study. The objective was to evaluate the conservation status of amphibian species in the valley of Zongo. Five species currently in danger of extinction were searched: Oreobates zongoensis, Psychrophrynella chacaltaya, Telmatobius bolivianus, T. marmoratus and T. verrucosus. Oreobates zongoensis and Telmatobius verrucosus were not found. As expected, Telmatobius bolivianus was recorded. Dead individuals of Hyloscirtus cf. armatus, Pleurodema marmoratum and Telmatobius marmoratus were also found. The conservation status analysis showed almost 50% of species in danger of extinction (IUCN categories: EN, CR and VU). The apparent paucity of amphibians in Zongo could be due to several factors, mainly anthropic, acting at several levels; the addition of their effects could cause such a reduction or even absence of individuals.
An Improved Parameterization for Simulating Arctic Cloud Amount in the CCSM3 Climate Model

Abstract A simple alternative parameterization for predicting cloud fraction in the Community Climate System Model, version 3 (CCSM3) global climate model is presented. This formula, dubbed “freeezedry,” is designed to alleviate the bias of excessive low clouds during polar winter by reducing the cloud amount under very dry conditions. During winter, freezedry decreases the low cloud amount over the coldest regions in high latitudes by over 50% locally and more than 30% averaged across the Arctic. The cloud reduction causes an Arctic-wide drop of 15 W m−2 in surface cloud radiative forcing (CRF) during winter and about a 50% decrease in mean annual Arctic CRF. Consequently, wintertime surface temperatures fall by up to 4 K on land and 2–8 K over the Arctic Ocean, thus significantly reducing the model’s pronounced warm bias. Freezedry also affects CCSM3’s sensitivity to greenhouse forcing. In a transient-CO2 experiment, the model version with freezedry warms up to 20% less in the North Polar and South Pola.
Cenozoic Magmatism of the North-Eastern Eurasian Margin: The Role of Lithosphere Versus Asthenosphere

Sikhote-Alin and Sakhalin are located in the Russian Far East flank of the northernmost part of the Sea of Japan. Magmatism in this region preceded, was concurrent with, and continued after the extension and sea-floor spreading (25–18Ma) that formed the Sea of Japan. Among the Sikhote-Alin and Sakhalin volcanic suites, Eocene–Oligocene (55–24Ma) lavas are characterized by greater large ion lithophile element and rare earth element enrichments compared with Early–Mid-Miocene (23–15Ma) tholeiites, and also show a depletion in high field strength elements (HFSE). The geochemical characteristics of the Eocene–Oligocene and Early– Mid-Miocene basalts are consistent with migration of the locus of magma generation beneath the Sikhote-Alin and Sakhalin areas from subduction-modified lithospheric mantle into mid-ocean ridge basalt (MORB)-source asthenosphere as spreading in the Sea of Japan progressed. Mid-Miocene–Pliocene (14–5Ma) lavas, erupted following the opening of the Sea of Japan, include alkaline and subalkaline basalts with wide ranges in trace-element abundances, varying between two distinct end-members: (1) volumetrically minor alkaline basalts with Zr–Nb and Sr–Nb–Pb isotope compositions similar to asthenosphere-derived, intra-plate–hotspot basalts from eastern China; (2) more abundant, lithosphere-derived, low-alkali tholeiites depleted in HFSE. The similarity of isotopic signatures coupled with systematically different rare earth element (REE) abundances in the Mid-Miocene–Pliocene and Chinese basalts are best modeled by similar extents of melting of spinel lherzolite and garnet lherzolite, respectively. The Mid-Miocene– Pliocene alkali basalts were generated by small degrees of partial melting of hot asthenosphere beneath a thin lithospheric lid; the thin lithospheric mantle beneath the Sikhote-Alin and Sakhalin region resulted from heating and extension associated with the opening of the Sea of Japan.
Evidencias de depredación en ostrácodos holocenos del Parque Nacional de Doñana (SO de España)

[Predation on Holocene ostracods of the Donana National Park (SW Spain)] This paper examines the evidences of predation observed in the study of more than 5,000 ostracod shells extracted from Holocene sediments of the Donana National Park (SW Spain). These evidences are very rare, partly due to the high proportions of juvenile instars. Two types of evidences are distinguished (Oichnus paraboloides Bromley and Oichnus simplex Bromley), preferentially located in the central and anterior areas of the valves and attributed mainly to gastropods. These holes were found in adults and the last juvenile instars of species with smooth shells. There is not statistical correlation between: a) the abundance of ostracods and the number or percentage of predated shells; and b) the hole diameter and the size of the valves that contain them.
Applications of Melt Inclusions to Problems in Igneous Petrogenesis

Understanding the different igneous processes that magmas undergo is important for a variety of reasons including potential hazards associated with volcanoes in populated regions, magmatic hydrothermal ore deposition, and tectonic processes. One method of obtaining geochemical data that can help constrain petrogenetic processes is through the study of melt and fluid inclusions. The research presented here examines melt inclusions through experimental, analytical and field studies to better understand igneous petrogenesis. One potential problem associated with melt inclusions is water-loss during laboratory heating. A Raman spectroscopic technique was developed to determine water contents of silicate glasses, and this technique was applied to monitor water loss from natural melt inclusions that were heated for varying lengths of time. The results suggest that water loss is insignificant when heated for less than 12 hours but significant water loss can occur with longer duration heating. The distribution of trace elements between silicate melts and phenocrysts growing from that melt can constrain igneous processes such as fractional crystallization, assimilation, and partial melting. Partition coefficients were determined for syngenetic clinopyroxene, orthopyroxene, and plagioclase in equilibrium with a dacitic melt using the Melt Inclusion-Mineral (MIM) technique. Melt inclusion chemistry is the same regardless of mineral host phase, suggesting that the melt inclusions have not been subjected to re-equilibration processes or boundary layer development. Partition coefficients from this study are similar but typically lower than published values. Three closely-spaced monogenetic eruptive units from the active Campi Flegrei volcanic system (Italy) with similar eruptive styles were examined to better understand the evolution of the magmatic system. Results suggest fractional crystallization as the dominant process taking place over time but that magma mixing was significant for one of the eruptions. Trace element geochemical data suggest a mixed magma source of within-plate and volcanic arc components, and still retain a T-MORB signature from the subducting slab.
Algae separation from oxidation pond effluents

Determina los efectos de diversos coagulantes quimicos para la remocion de algas en aguas residuales. Los estudios se realizaron en un laboratorio usando coagulantes de diferentes valores de pH y concentraciones de algas para pruebas de flotacion y sedimentacion. Los resultados de las pruebas de laboratorio fueron aplicados en experimentos de campo. Sugiere pruebas de practicas en el campo y se exponen las conclusiones de los estudios
Therapeutic Targeting of MOAP-1 in Cancer: A Systematic Review of Current Approaches and Future Directions

The Modulator of Apoptosis 1 (MOAP-1) protein, a crucial regulator of apoptosis, has recently attracted considerable interest in oncology research. Its potential as a therapeutic target in bladder, breast, and non-small cell lung cancer (NSCLC) offers intriguing new therapeutic approaches. This comprehensive review consolidated work on MOAP-1's role in cancer biology, notably as a therapeutic target. A systematic review was conducted by searching digital databases for studies. Based on inclusion and exclusion criteria, ten articles were thoroughly assessed. Emerging evidence links MOAP-1 to bladder cancer chemosensitivity and MOAP-1-dependent chemosensitization of breast cancer mediated by phenylquinazoline derivatives. In addition, apoptosis in breast cancer cells was induced by α-mangostin, a potential therapeutic drug targeting MOAP-1 and BCL-XL interaction. Studies showed MOAP-1's importance in NSCLC, with its upregulation in the cancer cells as a potential treatment. This review also highlights the role of miR-25 as a cellular regulator of MOAP-1 and its implication for MOAP-1-mediated therapeutics. The intricate control of MOAP-1 in cancer highlights the need for more research to understand its function and regulation across cancer types completely. MOAP-1's tumor suppressor activity suggests it could be a therapeutic target, as evidenced by current research findings, which is likely to spur further research into MOAP-1-targeted cancer treatments. This systematic review fills a gap in the literature by bringing together a variety of study findings to promote a deeper understanding of MOAP-1 and its therapeutic potential.
Household Digital Twin to Support Energy Management and Smart Appliance Research

Efficient energy transition requires sophisticated energy management algorithms. Their reliable evaluation is not a trivial task, mainly due to investment and user participation reasons. One of the solutions to overcome this issue is to apply simulation and digital twin approaches. This paper presents the details and evaluation of our approach for modeling users and their devices and implementing real-time, scalable, comprehensive and detailed evaluation of energy management algorithms and the effects of using smart appliance features in energy grids. This flexible approach allows defining the test scenarios with the required level of interaction and detail. It supports experimenting with a diversity of user and device configurations, hardly possible in real deployments, while delivering reliable and reproducible testing environment.
Investigation of the association between miR-181b, Bcl-2 and LRIG1 in oral verrucous carcinoma

Abnormal expression of microRNAs (miRNAs) is involved in the development of and anti-apoptotic effects in various types of human cancer. However, miRNA-mediated regulation of oral verrucous carcinoma (OVC) remains to be elucidated. The present study aimed to investigate the expression of miR-181b in OVC and oral squamous cell carcinoma (OSCC). The expression levels of miR-181b were determined using reverse transcription-quantitative polymerase chain reaction. The expression levels of B-cell lymphoma 2 (Bcl-2) and leucine rich repeats and immunoglobulin like domains 1 (LRIG1), were evaluated using immunohistochemical staining. The correlation between Bcl-2 and LRIG1 expression was determined using a Pearson correlation analysis. The expression levels of miR-181b and Bcl-2 in OVC were significantly higher compared with normal mucosal tissue (NM); however, lower compared with the OSCC. The key target of miR-181b was LRIG1 and it was significantly lower in OVC tissues compared with NM tissue; however this was higher when compared with OSCC tissue. The expression levels of Bcl-2 were correlated with expression levels of LRIG1 in OVC tissues. Therefore, LRIG1 may be associated with anti-apoptotic function in OVC tissues.
Chicxulub impact spherules in the North Atlantic and Caribbean: age constraints and Cretaceous–Tertiary boundary hiatus

Abstract The Chicxulub impact is commonly believed to have caused the Cretaceous–Tertiary boundary mass extinction and a thin impact spherule layer in the North Atlantic and Caribbean is frequently cited as proof. We evaluated this claim in the seven best North Atlantic and Caribbean Cretaceous–Tertiary boundary sequences based on high-resolution biostratigraphy, quantitative faunal analyses and stable isotopes. Results reveal a major Cretaceous–Tertiary boundary unconformity spanning most of Danian subzone P1a(1) and Maastrichtian zones CF1–CF2 (~400 ka) in the NW Atlantic Bass River core, ODP Sites 1049A, 1049C and 1050C. In the Caribbean ODP Sites 999B and 1001B the unconformity spans from the early Danian zone P1a(1) through to zones CF1–CF4 (~3 Ma). Only in the Demerara Rise ODP Site 1259B is erosion relatively minor and restricted to the earliest Danian zone P0 and most of subzone P1a(1) (~150 ka). In all sites examined, Chicxulub impact spherules are reworked into the early Danian subzone P1a(1) about 150–200 ka after the mass extinction. A similar pattern of erosion and redeposition of impact spherules in Danian sediments has previously been documented from Cuba, Haiti, Belize, Guatemala, south and central Mexico. This pattern can be explained by intensified Gulf stream circulation at times of climate cooling and sea level changes. The age of the Chicxulub impact cannot be determined from these reworked impact spherule layers, but can be evaluated based on the stratigraphically oldest spherule layer in NE Mexico and Texas, which indicates that this impact predates the Cretaceous–Tertiary boundary by about 130–150 ka.