Miracle-dz/UniFAR-FTUs huggingface dataset:
Forecasting of Electricity Demand in Malaysia with Seasonal Highly Volatile Characteristics using SARIMA – GARCH Model

Developing an accurate forecasting model for electricity demand plays a vital role in maximising the efficiency of the planning process in the power generation industries. The time series data of electricity demand in Malaysia is highly volatile with seasonal characteristics. This study aims to evaluate the forecasting performance of the seasonal autoregressive integrated moving average (SARIMA) model with GARCH for weekly maximum electricity demand. The weekly maximum electricity demand data (in megawatt, MW) from 2005 to 2016 has been used for this study. The results show that SARIMA(1, 1, 0)(0, 1, 0)52−GARCH(1, 2) with generalized error distribution (GED) is the most appropriate model for forecasting electricity demand due to its parsimonious characteristic with low values of root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) which are 644.1828, 523.8380 and 3.13%, respectively. The MAPE value of the proposed model which is less than 5% indicates that the SARIMA − GARCH model is relatively good in forecasting electricity demand for the case of Malaysia data. In conclusion, the proposed model of SARIMA with GARCH has great potential and provides a promising performance in forecasting electricity demand with seasonal highly volatile characteristics.
Assessment of Bacterial Load in the Fresh Water Lake System of Tamil Nadu

Eventhough great strides have been made in describing microbial diversity by means of modern analytical methods and a range of essential microbial-mediated processes has also been measured. Most assessments of microbial community structure and the activities that impact ecosystem functioning have been examined outside the conceptual framework of ecology and, with few exceptions, relationships between microbial biodiversity and ecosystem functioning have not been explicitly addressed.
Patient preferences in diabetes care: a bibliometric analysis

Background: The purpose of the study was to explore patient preferences in diabetes care by analyzing network visualization, overlay visualization, and density visualization. Main body: The study used bibliometric analysis for assessing related topics and patient preferences in diabetes care based on the repetition terms received. The data sources were based on online searches via https://app.dimensions. ai/ collected on August 22, 2023. The literature search was restricted to publications years 2015-2023, focused on the fields of Health sciences, biomedical and clinical science, nursing, public health, psychology, human society, nutrition and diabetes. Data were analysed using VOSviewer, The type of analysis is selected to create a map based on text data, further reviewed by co-occurrence and co-authors. From the network visualization, it was identified that there were 172 terminology items which were divided into 8 clusters with 6247 links with a strength of 34258. From each cluster, patient preferences among patients with diabetes were identified. Through overlay visualization analysis, it identified that a new topic being researched by scholars in various countries was racism toward patients with diabetes. Furthermore, in density visualization, a topic that few researchers have explored related to fulfilling patient preferences in diabetes care by maximizing telemedicine technology. Conclusion: Patient preferences in diabetes care are necessary. If patient preferences are considered, patients will feel involved in every decision-making as a result, they will be more responsible for the behaviour changes they have to make in diabetes care.
Flow Front Monitoring in High-Pressure Resin Transfer Molding Using Phased Array Ultrasonic Testing to Optimize Mold Filling Simulations

During the production of fiber-reinforced plastics using resin transfer molding (RTM), various characteristic defects and flaws can occur, such as fiber displacement and fiber waviness. Particularly in high-pressure RTM (HP-RTM), fiber misalignments are generated during infiltration by local peaks in the flow rate, leading to a significant reduction in the mechanical properties. To minimize or avoid this effect, the manufacturing process must be well controlled. Simulative approaches allow for a basic design of the mold filling process; however, due to the high number of influencing variables, the real behavior cannot be exactly reproduced. The focus of this work is on flow front monitoring in an HP-RTM mold using phased array ultrasonic testing. By using an established non-destructive testing instrument, the effort required for integration into the manufacturing process can be significantly reduced. For this purpose, investigations were carried out during the production of test specimens composed of glass fiber-reinforced polyurethane resin. Specifically, a phased array ultrasonic probe was used to record individual line scans over the form filling time. Taking into account the specifications of the probe used in these experiments, an area of 48.45 mm was inspected with a spatial resolution of 0.85 mm derived from the pitch. Due to the aperture that had to be applied to improve the signal-to-noise ratio, an averaging of the measured values similar to a moving average over a window of 6.8 mm had to be considered. By varying the orientation of the phased array probe and therefore the orientation of the line scans, it is possible to determine the local flow velocities of the matrix system during mold filling. Furthermore, process simulation studies with locally varying fiber volume contents were carried out. Despite the locally limited measuring range of the monitoring method presented, conclusions about the global flow behavior in a large mold can be drawn by comparing the experimentally determined results with the process simulation studies. The agreement between the measurement and simulation was thus improved by around 70%.
Making outcrops relevant for an unconventional source rock play: an example from the Eagle Ford Group of Texas

Abstract The utility of outcrops to geoscientists working the subsurface is typically limited by provincial nomenclature, outcrop-based lithostratigraphic subdivisions, which commonly differ in name and numbers among researchers, and often a basic indifference to the subsurface stratigraphy. In the subsurface of South Texas, the Eagle Ford Group is commonly divided into an organic-rich Lower Eagle Formation and a carbonate-rich Upper Eagle Ford Formation. In contrast, coeval strata that crop out nearby in West Texas are traditionally referred to as the Boquillas Formation. Adding further complexity to the outcrop stratigraphy is that previous workers divided the Boquillas into two to five informal lithostratigraphic units whose names and boundaries differ among researchers. By convolving information from a handheld gamma ray spectrometer, outcrop geochemical data and sequence stratigraphy, the Lower and Upper Eagle formations, as defined in the subsurface of South Texas, can now be defined in the coeval Eagle Ford Group outcrops of West Texas. Integrating basic geochemical and petrophysical data to the updated stratigraphy on these outcrops was transformative. By doing this, these West Texas exposures became portals to examine, as well as explain and predict, the distribution and thickness variations of specific chronostratigraphic units that are critical to the economic success of exploiting the Eagle Group across the unconventional source rock play fairway in South Texas.
Deriving global parameter estimates for the Noah land surface model using FLUXNET and machine learning

With their origins in numerical weather prediction and climate modeling, land surface models aim to accurately partition the surface energy balance. An overlooked challenge in these schemes is the role of model parameter uncertainty, particularly at unmonitored sites. This study provides global parameter estimates for the Noah land surface model using 85 eddy covariance sites in the global FLUXNET network. The at‐site parameters are first calibrated using a Latin Hypercube‐based ensemble of the most sensitive parameters, determined by the Sobol method, to be the minimum stomatal resistance (rs,min), the Zilitinkevich empirical constant (Czil), and the bare soil evaporation exponent (fxexp). Calibration leads to an increase in the mean Kling‐Gupta Efficiency performance metric from 0.54 to 0.71. These calibrated parameter sets are then related to local environmental characteristics using the Extra‐Trees machine learning algorithm. The fitted Extra‐Trees model is used to map the optimal parameter sets over the globe at a 5 km spatial resolution. The leave‐one‐out cross validation of the mapped parameters using the Noah land surface model suggests that there is the potential to skillfully relate calibrated model parameter sets to local environmental characteristics. The results demonstrate the potential to use FLUXNET to tune the parameterizations of surface fluxes in land surface models and to provide improved parameter estimates over the globe.
Climate Change and Water Resources Management in Ghis-Nekor Watershed (North of Morocco) – A Comprehensive Analysis Using SPI, RDI and DI Indices

Morocco is currently facing significant challenges due to the ever–changing climate, with its critical water sources crucial for agriculture, economy, and daily life being greatly affected. In order to thoroughly understand the impact of climate change on the Ghis–Nekor watershed, an in–depth study spanning 38 years (1978–2016) was con - ducted. This involved examining the meteorological data from three stations and utilizing advanced indices, such as SPI, RDI, and DI. The findings of this study revealed prominent shifts in precipitation patterns, indicating a vulnerability in the region. While there was a general increase in annual rainfall during the specified time period, a sharp decline was observed post–2008. Further analysis of drought confirmed the presence of persistent dry spells and recurring episodes, highlighting the urgent need for effective water management strategies. These crucial find - ings must be considered by decision–makers for successful climate adaptation, emphasizing the key role played by this study in mitigating the effects of climate change.
Macro and microscopic examination of ovarian pathologies in abattoir samples of buffalo of Agra region, Uttar Pradesh, India

The present study was aimed to assess the type and prevalence of gross and microscopic lesions in ovaries of buffaloes obtained from abattoir. The prevalence of abnormalities of uterus were highest (17.02%; 181 samples) followed by ovaries (7.98%; 85 samples) among ten different types of anatomic abnormalities with overall prevalence of 29.83% (317/1062). Among the 85 ovarian lesions, the most observed lesions were sub active ovaries (34.11%), par ovarian cyst (20%), ovarobursal adhesion (20%), and cystic ovary (20%). To decipher ovarian hypofunction and other abnormalities, per-rectal examination and transrectal ultrasonography is used with variable degree of success to diagnose unilateral small sized pathological affections. In addition to visualize reproductive organs, ultrasonography also helpful to assess morphotype, localization, number, and size as well as shape of internal formations. The project sought to procure basic data for further investigation that would enable providing scientific support for methods to boost production through full utilization of the bubaline genetic potential.
Iron Oxide Nanoparticle-Assisted Delamination of Ti3C2Tx MXenes: A New Approach to Produce Magnetic MXene-Based Composites

Ti3C2Tx MXene is one of the most comprehensively studied 2D materials in terms of its adsorptive, transport, and catalytic properties, cytotoxic performance, etc. Still, conventional MXene synthesis approaches provide low single-flake MXene yield and frequently uncontrollable properties, demanding further post-processing. The MXene family also lacks magnetism, which is helpful for producing effective nanoadsorbents as their magnetic decantation is the cheapest and most convenient way to remove the spent adsorbent from water. Composite materials consisting of magnetic nanoparticles grown on top of MXene flakes are commonly used to provide magnetic properties to the resulting nanocomposite. In this paper, we study the possibility to delaminate multilayer Ti3C2Tx MXene sheets directly by growing iron oxide magnetic nanoparticles inside their interlayer spacing. We find out that, with a mass fraction of particles comparable or exceeding that of MXenes, their growth is accompanied by an effective enhancement of single-layer MXene yield and suitable magnetic properties of the resulting composite. The developed approach can be further used for simplifying synthesis protocols to obtain magnetic MXene-based nanoadsorbents with tunable properties.
GROEBER Y EL TRIÁSICO EN LA ARGENTINA

Pablo Groeber´s contributions to characterize the Triassic of Argentine and, in particular, the chapter about the System included in the book Geografia de la Republica Argentina , written in co-authorship with Pedro Stipanicic, are discussed. A binary division for the Argentine Triassic is originally proposed. The beginning of the infilling is characterized by the volcanics and sedimentary rocks attributed to the ‘‘ Choiyoilitense ’’, the ‘‘ Paganzo III ’’, and equivalent units all considered Carnian in age. This succession is unconformably overlied by Norian-Rhaetian continental sedimentary rocks. More recently, several new absolute dates obtained from different units attributed to the Triassic produced a different temporal context, where the first phase of infilling is located between the Cisuralian and the Early Triassic (eg., the ‘‘ Choiyoilitense ’’, the ‘‘ Paganzo III ’’) and the second phase of continental sedimentation is restricted to the Middle and Late Triassic. Nevertheless, these new ages did not change the original binary lithostratigraphic scheme proposed by Pablo Groeber and Pedro Stipanicic in their Geografia as it is still essentially valid to characterize the Triassic of Argentina.
3DArm Inertial Sensor-based 3D Upper Limb Motion Tracking and Trajectories Reconstruction

Upper limb motion tracking plays a major role in several applications such as movement evaluation of workers, gaming, human-machine interaction and medical rehabilitation. There are many systems to perform upper limb tracking they can be non-visual (inertial), visual (with markers or marker-free) or robot-aided. Despite this variety of tracking systems, they have limitations and some of these systems also consist of specifically designed sensors and tend to be designed for a specific goal, making them unsuitable for acting in all the applications mentioned above. This way, the need for a global upper limb motion tracking solution arises. For that purpose, the 3DArm Upper Limb Inertial Tracking System was developed. Based on literature review, this system was built in order to track the upper limb for various applications. In order to do that, two inertial sensors were placed on the upper and lower arms and the upper limb was modeled so that the joints and movements could be described in a global body reference frame. Then, data from inertial sensors were combined through an Extended Kalman Filter sensor fusion method with biomechanical constraints, in order to obtain orientation. The sensors were aligned with each other and with the global body reference frame so that the upper limb position could be described in the global body frame. After finding sensor orientation relative to the global body frame, the upper limb kinematic model was used to reconstruct upper limb motion. To evaluate the system, 3DArm was compared to Kinect and, in spite of the small deviation between them a maximum mean error of 10,60 centimeters and 16,33 centimeters for the elbow and wrist joints, respectively the experimental results demonstrated that the proposed tracking system had an acceptable performance, in different movements. Therefore, 3DArm can be considered a viable tracking system with the advantages of being portable, without occlusion problems, small-sized, unobtrusive, low-cost and lightweight. Moreover, it was difficult to guarantee that the two sensors were aligned with each other. To overcome this problem, a sensor-to-body frame transformation, without the need of aligning the sensors with each other and with the global body reference frame, was developed. With a calibration movement, each axis of the global body reference frame was defined. The results of the sensor-to-body frame transformation showed that the calculated elbow and wrist positions resulted in errors in the same order as the ones reported when sensors were manually aligned on each arm segment. Although results were promising, further development of this project is required to potentially improve upper limb motion tracking.
Pre-service Teachers’ Experiences in Handling Reticent Students During Teaching Practicum: Challenges and Strategies

This study looked at the experience of English as a Foreign Language (EFL) pre-service teachers handling reticent students during their teaching practicum. Reticent students are characterized by reluctance or hesitance to participate or engage in classroom discussions and activities actively. Teaching practicum is a hands-on educational experience that allows pre-service teachers to apply classroom theories and teaching strategies in real-world settings, fostering their professional growth under the guidance of experienced educators. Previous studies have explored teacher perceptions and strategies for addressing student reticence, but less attention has been given to pre-service teachers' experiences. The study employs a qualitative research design, conducting semi-structured interviews with five pre-service teachers who have completed their teaching practicum. The interviews explore the participants' experience focusing on the challenges and strategies in handling reticent students. The findings revealed common challenges faced by the participants and the strategies employed to handle reticent students. Based on the findings, recommendations are made for teacher education programs and mentor teachers to better prepare pre-service teachers in handling reticent students. Finally, the study implied some limitations and provided recommendations for future research.
Targeting Key Inflammatory Mechanisms Underlying Heart Failure: A Comprehensive Review

Inflammation is a major component of heart failure (HF), causing peripheral vasculopathy and cardiac remodeling. High levels of circulating inflammatory cytokines in HF patients have been well recognized. The hallmark of the inflammatory imbalance is the insufficient production of anti-inflammatory mediators, a condition that leads to dysregulated cytokine activity. The condition progresses because of the pathogenic consequences of the cytokine imbalance, including the impact of endothelial dysfunction and adrenergic responsiveness deterioration, and unfavorable inotropic effects on the myocardium. Hence, to develop possible anti-inflammatory treatment options that will enhance the outcomes of HF patients, it is essential to identify the potential pathophysiological mechanisms of inflammation in HF. Inflammatory mediators, such as cytokines, adhesion molecules, and acute-phase proteins, are elevated during this process, highlighting the complex association between inflammation and HF. Therefore, these inflammatory markers can be used in predicting prognosis of the syndrome. Various immune cells impact on myocardial remodeling and recovery. They lead to stimulation, release of alarmins and risk-related molecule patterns. Targeting key inflammatory mechanisms seems a quite promising therapy strategy in HF. Cytokine modulation is only one of several possible targets in the fight against inflammation, as the potential molecular targets for therapy in HF include immune activation, inflammation, oxidative stress, alterations in mitochondrial bioenergetics, and autophagy.
Holocene environmental history of tropical, mid-altitude Lake Ocotalito, México, inferred from ostracodes and non-biological indicators

This paleolimnological study used ostracodes assemblages, element concentrations, organic and inorganic carbon content, organic C:N ratios, and stable isotope values in valves of the ostracodes Cytheridella ilosvayi as paleoindicators and is the first such investigation from a mid-elevation site in southern México. We provide a ~7600-year (9540–1970 BP) environmental history from karst Lake Ocotalito (920 m a.s.l.), which lies in the Lacandon Forest of Chiapas, México. A 5.4-m sediment core was retrieved from a water depth of 23 m. The main factor that shaped ostracodes species assemblages throughout the Holocene was lake level. A total of six species were identified, and the benthic Cytheridella ilosvayi was dominant. Less abundant species included nektobenthic taxa Cypridopsis okeechobei, Heterocypris putei, and Potamocypris sp. and benthic species Darwinula stevensoni and Pseudocandona sp. Wet conditions, high lake levels (>15 m), and low ostracodes abundances characterized the period between ~9540 and ~7820 BP. From ~7750 to 6460 BP, indicators point to stable conditions and intermediate lake levels (~15 m). Greatest ostracodes abundance and diversity occurred from ~6200 to ~4030 BP, during which mainly drier conditions were inferred, interrupted by short, humid periods. Lower abundances and low Sr and δ18O values characterized the period from ~3810 to ~1970 BP and indicate higher lake levels, that is, wetter conditions. Throughout this period, however, a slight trend toward drier conditions was observed. Comparison with paleolimnological studies in other karst lakes from the region suggests mid-altitude aquatic ecosystems may be more sensitive to climate fluctuations than lakes in the lowlands. For instance, stable isotope records from the Lake Ocotalito core display greater ranges. This, however, may simply reflect inter-lake differences in sensitivity, controlled by lake-specific hydrologic factors. The record from Lake Ocotalito fills an important gap in our knowledge of past biotic diversity, paleoclimate, and paleoenvironmental conditions in the northern Neotropics.
Contribution à l'étude des transferts thermiques à l'échelle nanométrique : interaction pointe-surface

Cette these aborde la problematique des transferts de chaleur dans les micro et nanoystemes. La premiere partie concerne la conduction thermique dans l'air. La microscopie a force atomique thermique dite SThM est presentee, et la sonde resistive Wollaston est analysee afin de pouvoir etre utilisee a haute temperature. Les pertes thermiques de la sonde dans l'air environnant sont mesurees en fonction de la pression. L'echange thermique entre la sonde chaude et un echantillon froid est determine en fonction de la distance pointe-echantillon. Une modelisation simple de l'experience, avec des lignes de flux paralleles, tend a demontrer un comportement qui devie de la diffusion thermique de Fourier. Une etude numerique mettant en jeu une pointe pyramidale nanometrique est ensuite effectuee a l'aide d'une methode de Monte-Carlo dans le but d'analyser le transport thermique balistique. La seconde partie aborde le rayonnement thermique de champ proche entre les corps metalliques. Il apparait que le transfert radiatif est different de celui des materiaux polaires lorsque les distances entre deux corps sont nanometriques. Ceci n'est pas du a un phenomene modelisable avec l'optique non-locale. Le flux est en fait essentiellement d'origine magnetique et met en jeu des courants de Foucault stochastiques, pris en compte par la contribution dipolaire magnetique dans le cas d'une nanoparticule. Une longueur caracteristique du transfert est l'epaisseur de peau. Elle permet notamment d'expliquer une experience recente. La possibilite de mesurer le rayonnement de champ proche avec le microscope SThM est egalement evaluee.