Miracle-dz/UniFAR-FTUs huggingface dataset:
Competencies of Non-Teaching Personnel (NTP) of DepEd-Schools Division of Ilocos Sur ASSESSING INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) COMPETENCIES OF NON-TEACHING PERSONNEL (NTP) OF DEPED-SCHOOLS DIVISION OF ILOCOS SUR

Non-teaching Personnel (NTP) are considered the backbone of the Department of Education, and their functions are deemed vital to the operations of the Department. Numerous studies and training about Information and Communication Technology (ICT) have focused on teachers and students, but fewer studies have been done explicitly with NTP. This study aims to assess the ICT competence level among NTPs at the School Division of Ilocos Sur. A descriptive-correlational method was used to discuss NTP's level of ICT competence in different target ICT domains through a standardized survey questionnaire adopted from the National Information and Communications Technology Standards (NICS) of the Commission on Information and Communications Technology (CICT). A total of two hundred thirty-seven (237) NTPs of the Schools Division of Ilocos Sur were randomly selected as respondents for the study. Data was gathered through the utilization of Google Forms to ensure accurate and fast data gathering. Frequency, Percentage, Mean, and Pearson correlation coefficient analysis were used as a statistical tool to analyze the results using IBM Statistical Packages for Social Sciences (SPSS) Statistics 27 software. The findings revealed that the NTPs exhibit an advanced degree of ICT proficiency, as indicated by a mean score of 2.87 and a standard deviation of 0.69 in all three (3) domains. Moreover, age, length of employment, and educational attainment negatively correlate to ICT competence. However, attending seminars is positively correlated with competence. The researchers proposed a three-Electronic
Ice‐nucleating particle emissions from biomass combustion and the potential importance of soot aerosol

Ice‐nucleating particles (INPs) are required for initial ice crystal formation in clouds at temperatures warmer than about −36°C and thus play a crucial role in cloud and precipitation formation. Biomass burning has been found to be a source of INPs in previous studies and is also a major contributor to atmospheric black carbon (BC) concentrations. This study focuses on isolating the BC contribution to the INP population associated with biomass combustion. Emissions of condensation mode INPs from a number of globally relevant biomass fuels were measured at −30°C and above water saturation as fires progressed from ignition to extinguishment in a laboratory setting. Number emissions of INPs were found to be highest during intense flaming combustion (modified combustion efficiency > 0.95). Overall, combustion emissions from 13 of 22 different biomass fuel types produced measurable INP concentrations for at least one replicate experiment. On average, all burns that produced measureable INPs had higher combustion efficiency, which is associated with higher BC emissions, than those that did not produce measureable INPs. Across all burns that produced measureable INPs, concentrations ranged from 0.1 to 10 cm−3, and the median emission factor was about 2 × 107 INPs per kilogram of fuel burned. For a subset of the burns, the contribution of refractory black carbon (rBC) to INP concentrations was determined by removing rBC via laser‐induced incandescence. Reductions in INPs of 0–70% were observed, indicating an important contribution of rBC particles to INP concentrations for some burns, especially marsh grasses.
Where to Start? Exploring the efﬁciency of translation movements on multitouch devices

Predicting the efﬁciency of interaction techniques can be crucial for designing user interfaces. While models like Fitts’ law make general predictions, there is little research on how efﬁciency varies under different conditions like in which screen region a movement starts and in which direction it is going, and whether the surface is horizontal or vertical. This study investigates these aspects with regard to translation movements on a touch screen, using an extended Fitts’ law setup and considering arm kinematics. The results show that on horizontal displays translation is faster and causes less arm fatigue than on vertical ones. Also, on horizontal displays, we identiﬁed screen regions and movement directions that allow signiﬁcantly faster movement compared to others. Finally, movements that employ shorter kinematic chains (e.g. just the wrist) are signiﬁcantly faster than those that use longer ones (e.g. wrist, elbow, shoulder). We suggest adjustments to Fitts’ original formulation. In the future, our ﬁndings can inform or partially automate positioning decisions in interaction design.
Projecting Global Mercury Emissions and Deposition Under the Shared Socioeconomic Pathways

Mercury (Hg) is a naturally occurring element that has been greatly enriched in the environment by activities like mining and fossil fuel combustion. Despite commonalities in some CO2 and Hg emission sources, the implications of long-range climate scenarios for anthropogenic Hg emissions have yet to be explored. Here, we present comprehensive projections of anthropogenic Hg emissions (2020-2300) and evaluate impacts on global atmospheric Hg deposition. Projections are based on four shared socioeconomic pathway (SSP) narratives ranging from sustainable reductions in resource and energy intensity to rapid economic growth driven by abundant fossil fuel exploitation. There is a greater than two-fold diﬀerence in cumulative anthropogenic Hg emissions between the lower-bound (110 Gg) and upper-bound (230 Gg) scenarios. Hg releases to land and water are approximately six times those of direct emissions to air (600-1470 Gg). At their peak, anthropogenic Hg emissions reach 2200-2600 Mg a-1 sometime between 2010 (baseline) and 2030, depending on the SSP scenario. Coal combustion is the largest determinant of diﬀerences in Hg emissions among scenarios. Decoupling of Hg and CO2 emissions sources occurs under low-to mid-range scenarios, though contributions from artisanal and small-scale gold mining remain uncertain. A projected future shift in speciation of Hg emissions toward lower gaseous elemental Hg (Hg0) and higher divalent Hg (HgII) will result in a higher fraction of locally-sourced Hg deposition. Projected re-emissions of previously deposited anthropogenic Hg follow a similar temporal trajectory to primary emissions, amplifying beneﬁts of primary Hg emissions reductions under the most stringent mitigation scenarios.
Identi ﬁ cation of potential sialic acid binding proteins on cell membranes by proximity chemical labeling †

The cell membrane contains a highly interactive glycan surface on a sca ﬀ old of proteins and lipids. Sialic acids are negatively charged monosaccharides, and the proteins that bind to sialic acids play an important role in maintaining the integrity and collective functions of this interactive space. Sialic acid binding proteins are not readily identi ﬁ ed and have nearly all been discovered empirically. In this research, we developed a proximity labeling method to characterize proteins with oxidation by localized radicals produced in situ . The sites of oxidation were identi ﬁ ed and quanti ﬁ ed using a standard proteomic work ﬂ ow. In this method, a clickable probe was synthesized and attached to modi ﬁ ed sialic acids on the cell membrane, which functioned as a catalyst for the localized formation of radicals from hydrogen peroxide. The proteins in the sialic acid environment were labeled through amino acid oxidation, and were categorized into three groups including sialylated proteins, non-sialylated proteins with transmembrane domains, and proteins that are associated with the membrane with neither sialylated nor transmembrane domains. The analysis of the last group of proteins showed that they were associated with binding functions including carbohydrate binding, anion binding, and cation binding, thereby revealing the nature of the sialic acid – protein interaction. This new tool identi ﬁ ed potential sialic acid-binding proteins in the extracellular space and proteins that were organized around sialylated glycans in cells.
THE CHALLENGES FACING TEACHER COUNSELORS AND ADMINISTRATORS IN MANAGING STUDENT DISCIPLINE IN IRINGA MUNICIPAL SECONDARY SCHOOL

: This study assessed the challenges facing teacher counselors and administrators in managing student discipline in Iringa Municipal Secondary School. The main objective was to examine the challenges facing teacher counselors and administrators in managing student discipline. This study was qualitative in nature and data was collected from teachers, teacher counselors, and students in Iringa Municipal Council whereby Tagamenda secondary school was taken as a case study. The study employed a purposive sampling technique to select respondents and data were analyzed through content data analysis. Findings revealed that among the challenges of managing students' discipline in secondary school were: some of the parents were defending their children; lack of professional counselors and facilities; interference by politicians; some students were attempting to harm their teachers and resistance from students. This study concludes that almost all cases where this study was carried out have seen that there are challenges facing teacher counselors and administrators in managing students' discipline in Iringa municipal council. All these challenges should be well addressed to manage school discipline.
Efficient Multiple Channels EEG Signal Classification Based on Hierarchical Extreme Learning Machine

The human brain can be seen as one of the most powerful processors in the world, and it has a very complex structure with different kinds of signals for monitoring organics, communicating to neurons, and reacting to different information, which allows large developments in observing human sleeping, revealing diseases, reflecting certain motivations of limbs, and other applications. Relative theory, algorithms, and applications also help us to build brain-computer interface (BCI) systems for different powerful functions. Therefore, we present a fast-reaction framework based on an extreme learning machine (ELM) with multiple layers for the ElectroEncephaloGram (EEG) signals classification in motor imagery, showing the advantages in both accuracy of classification and training speed compared with conventional machine learning methods. The experiments are performed on software with the dataset of BCI Competition II with fast training time and high accuracy. The final average results show an accuracy of 93.90% as well as a reduction of 75% of the training time as compared to conventional deep learning and machine learning algorithms for EEG signal classification, also showing its prospects of the improvement of the performance of the BCI system.
Educational Methodology

: Based on institutional theory, this study explores the causal relationship between teacher professional identity, perceived institutional norms, and teachers’ conformity behavior in colleges and universities in Hunan Province. A questionnaire survey was conducted on 500 teachers from two universities in Hunan Province. The reliability and validity test results and structural equation modeling analysis show that the professional identity of college teachers positively affects their conformity behavior, and that perceived institutional norms partially mediate the relationship between teacher professional identity and teacher conformity behavior. The research enriches the application of institutional theory in university organization and provides an empirical basis for universities to improve teachers’ conformity behavior
Extracting Question-Context-Answer Triples from Online Forums

In this paper, we propose a new approach to extracting question-context-answer triples from online discussion forums. More speciﬁ-cally, we propose a general framework based on Conditional Random Fields (CRFs) for context and answer detection, and also extend the basic framework to utilize contexts for answer detection and to better accommodate the features of forums. Experimental results show that our techniques are very promising.
A review and appraisal of arrival-time picking methods for downhole microseismic data

ABSTRACTWe have evaluated arrival-time picking algorithms for downhole microseismic data. The picking algorithms that we considered may be classified as window-based single-level methods (e.g., energy-ratio [ER] methods), nonwindow-based single-level methods (e.g., Akaike information criterion), multilevel- or array-based methods (e.g., crosscorrelation approaches), and hybrid methods that combine a number of single-level methods (e.g., Akazawa’s method). We have determined the key parameters for each algorithm and developed recommendations for optimal parameter selection based on our analysis and experience. We evaluated the performance of these algorithms with the use of field examples from a downhole microseismic data set recorded in western Canada as well as with pseudo-synthetic microseismic data generated by adding 100 realizations of Gaussian noise to high signal-to-noise ratio microseismic waveforms. ER-based algorithms were found to be more efficient in terms of computational speed and were there.
KBF ORMER : A T RANSFORMER - BASED D IFFUSION M ODEL OF S TRUCTURED E NTITIES WITH H ETEROGE - NEOUS P ROPERTIES

We present a generative attention-based architecture that models structured entities comprising different property types, such as numerical, categorical, string, and composite. This architecture handles such heterogeneous data through a mixed continuous-discrete diffusion process over the properties. This flexible framework is capable of modeling entities with arbitrary hierarchical properties, enabling applications to structured KB entities and tabular data. Experiments with a device KB and a nuclear physics dataset demonstrate the model’s ability to learn representations useful for entity completion in diverse settings. This has many down-stream use cases, including modeling numerical properties with high accuracy - critical for science applications. An additional benefit of the model is its inherent probabilistic nature, enabling predictions accompanied by uncertainties. These critical capabilities are leveraged in a nuclear physics dataset to make precise predictions on various properties of nuclei.
Improving the Resolution of Low Earth Orbit Objects by Multi-Exposure Imaging and Deconvolution

Low Earth Orbit satellites imaged through ground-based telescopes are unresolved due to the relative motion of the satellite and atmospheric turbulence. Conventional wavefront sensors combined with tip-tilt mirror and deformable mirror system improve the resolution of satellite images in real time but such a system is relatively expensive and intricate to implement on sky. This paper describes an alternative method, which partially deconvolves satellite images using an estimated Point Spread Function of a closely separated background star in post-processing. In this method, two cameras are placed on-axis of the telescope, synchronized and triggered simultaneously. The first camera has a long exposure to image the faint background stars and a second camera has a short exposure to image fast moving satellites. In post-processing the Lucy-Richardson algorithm is applied to partially restore the blurred image of two derelict satellites (ALOS-1 & SEASAT) and spatial metrics for such extended objects are used to quantify the quality of the restored image.
A rare case of silent sinus syndrome Rzadki przypadek pacjenta z zespołem niemej zatoki szczękowej

: Introduction: The term silent sinus syndrome refers to a rare disease occurring within the maxillary sinus. Pressure changes (underpressure) in the maxillary sinus affect the reconstruction of its walls and cause sinus walls to collapse in the form of, e.g., lowering the floor of the eye socket, which causes the eyeball to move downwards, thus disturbing visual acuity. The main ailments of patients who report to the doctor’s office include facial asymmetry and vision problems, and the diagnostic and treatment processes require the involvement of many specialists. Aim: The aim of the study is to present a case of a patient with silent sinus syndrome. Case report: Patient S.K. , 45 years old, reported to an ophthalmologist with symptoms of visual acuity and double vision, he also complained about a clear asymmetry caused by the collapse of the right eyeball. Craniofacial computed tomography (CT) revealed that the right maxillary sinus was completely filled with thickened mucosa/fluid, with obstruction of the ostiomeatal complex. Sinus volume was significantly reduced with lowering of the lower orbital wall and the collapse of the posterior wall of the sinus, right-sided endophtalmus, the evolution of the so-called silent sinus. Further ENT treatment was recommended. In 2019, the right maxillary sinus was operated endoscopically. The patient endured the procedure well, the postoperative course was uneventful.
Path Tracer Demodulate Albedo Demodulate Albedo Reconstruction Filter Reconstruction Filter + Modulate Albedo Tone Mapping Temporal Antialiasing

We introduce a reconstruction algorithm that generates a temporally stable sequence of images from one path-per-pixel global illumination. To handle such noisy input, we use temporal accumulation to increase the eective sample count and spatiotemporal luminance variance estimates to drive a hierarchical, image-space wavelet lter [Dammertz et al. 2010]. is hierarchy allows us to distinguish between noise and detail at multiple scales using local luminance variance. Physically based light transport is a long-standing goal for realtime computer graphics. While modern games use limited forms of ray tracing, physically based Monte Carlo global illumination does not meet their 30 Hz minimal performance requirement. Looking Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for prot or commercial advantage and that copies bear this notice and the full citation on the rst page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permied. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specic permission and/or a fee. Request permissions from permissions@acm.org. HPG ’17, Los Angeles, CA, USA © 2017 ACM. 978-1-4503-5101-0/17/07. $15.00 DOI: 10.1145/3105762.3105770 ahead to fully dynamic real-time path tracing, we expect this to only be feasible using a small number of paths per pixel. As such, image reconstruction using low sample counts is key to bringing path tracing to real-time. When compared to prior interactive reconstruction lters, our work gives approximately 10× more temporally stable results, matches reference images 5–47% beer (according to SSIM), and runs in just 10 ms (± 15%) on modern graphics hardware at 1920×1080 resolution.
Thermocatalytic Conversion of Pine and Birch Sawdust over H-ZSM-5 Zeolite Catalyst

The processing of lignocellulose wastes is one of the urgent tasks in modern society. These wastes can be effectively used for the production of heat, electricity, fuels, and valuable chemicals. Catalytic pyrolysis can be considered the most effective way to convert waste into valuable products. In this work, the investigation of the pyrolysis process of the birch and pine sawdust was carried out in the presence of a zeolite-based catalyst. The synthesised zeolite-based catalyst is characterised by high porosity (the specific surface area of 350 m 2 /g) and acidity (0.34 mmol/g). The use of the zeolite-based catalyst increases the yield of the gaseous and liquid products of pyrolysis by ca. 5 % in comparison with the non-catalytic one. Despite this increase seems to be negligible, the composition of the products was changed sufficiently because of the higher degree of feedstock decomposition. The addition of pure zeolite into the pyrolysis zone led to an increase in furanes and phenols yield for 3 times while the addition of Fe-ZSM-5 catalyst increased twice the yield of acids/esters, and hydrocarbons.
A practical implementation of wave front construction for 3-D isotropic media

SUMMARY Wave front construction (WFC) methods are a useful tool for tracking wave fronts and are a natural extension to standard ray shooting methods. Here we describe and implement a simple WFC method that is used to interpolate wavefield properties throughout a 3-D heterogeneous medium. Our approach differs from previous 3-D WFC procedures primarily in the use of a ray interpolation scheme, based on approximating the wave front as a ‘locally spherical’ surface and a ‘first arrival mode’, which reduces computation times, where only first arrivals are required. Both of these features have previously been included in 2-D WFC algorithms; however, until now they have not been extended to 3-D systems. The wave front interpolation scheme allows for rays to be traced from a nearly arbitrary distribution of take-off angles, and the calculation of derivatives with respect to take-off angles is not required for wave front interpolation. However, in regions of steep velocity gradient, the locally spherical approximation is not valid, and it is necessary to backpropagate rays to a sufficiently homogenous region before interpolation of the new ray. Our WFC technique is illustrated using a realistic velocity model, based on a North Sea oil reservoir. We examine wavefield quantities such as traveltimes, ray angles, source take-off angles and geometrical spreading factors, all of which are interpolated on to a regular grid. We compare geometrical spreading factors calculated using two methods: using the ray Jacobian and by taking the ratio of a triangular area of wave front to the corresponding solid angle at the source. The results show that care must be taken when using ray Jacobians to calculate geometrical spreading factors, as the poles of the source coordinate system produce unreliable values, which can be spread over a large area, as only a few initial rays are traced in WFC. We also show that the use of the first arrival mode can reduce computation time by ∼65 per cent, with the accuracy of the interpolated traveltimes, ray angles and source take-off angles largely unchanged. However, the first arrival mode does lead to inaccuracies in interpolated angles near caustic surfaces, as well as small variations in geometrical spreading factors for ray tubes that have passed through caustic surfaces.
Green Campaign of The Gili Eco Trust in Forming Public Awareness about The Environment to Realize Gili Trawangan Zero Waste

Gili Trawangan, a renowned tourist destination in West Nusa Tenggara Province, faces a significant waste challenge due to the high influx of visitors. Each day, approximately 20 metric tons of waste, including an astonishing 10,000 glass bottles, accumulate on the island. To instigate a shift in the behavior of the local community, business owners, and tourists, Gili Eco Trust has launched an educational campaign. Additionally, Gili Eco Trust actively engages in community-based waste management by establishing a waste bank and pursuing profitable waste reduction strategies. This includes innovative upcycling of glassware and systematic collection of recyclables, diverting them away from landfills. Gili Eco Trust has Instagram and Facebook accounts. Its social media is interactive. They reply to comments and direct messages from their followers. Online media should be interactive to allow the audience to ask questions about the program. The uploaded caption describes the glass bottle recycling process, starting from cleaning trash, melting glass bottles into glass sand, and becoming strong bricks. This campaign invites and urges local communities and stakeholders to carry out waste management and educate them to protect the environment, provide continuous information, and understand and motivate certain activities or programs through continuous and planned communication.