Miracle-dz/UniFAR-FTUs huggingface dataset:
The Finance Professor Teaching an Early Morning Class

A broad literature affirms the compromised performance of many people in early-morning settings. How does this affirmation manifest itself in the academic environment in general and the finance classroom in particular? We extend the work of disciplines outside the business school and find a need for the finance instructor to anticipate special needs for the early morning class; students in 8:00 classes, relative to 9:30 classes, underperform, and this underperformance is more pronounced for those with jobs. We provide clear evidence of the better performance of the student in the later class that has no outside employment, and extend these findings to a new set of guidelines for use in early morning classes.
Using Curriculum Mapping to Understand Information Literacy in Political Science Curricula

abstract:This study presents curriculum mapping of noncore course offerings in political science curricula by an early-career librarian. It combines syllabi study and curriculum mapping methods to analyze the language of student learning objectives (SLOs) from course syllabi and to integrate SLOs with threshold concepts from the ACRL Framework for Information Literacy for Higher Education and the AAC&U Information Literacy VALUE Rubric. The methods produce two sample sets: one of core concept representation and the other of additional observances for syllabi improvements. Results analyze the frequency and percentage distributions of threshold concepts in SLOs. The author outlines strategies for engaging faculty in information literacy and suggests how librarians and faculty might inform information literacy teaching in the department.
Small infrared target detection using two-dimensional fast orthogonal search (2D-FOS)

It is well known that the overall performance of the automatic imaging target recognition system is strongly affected by the used detection technique. Recently, the wavelet and matching pursuit methods are merged together as an excellent methodology for detecting targets in a sequence of infrared images with high detection rate, and low false alarms. The wavelet transform is used as a detector of the regions of interest, which may include false alarms, while the matching pursuit uses the known target's features to reduce the clutters (or false alarms) from the wavelet output. Only the non-orthogonal matching pursuit is used for this purpose because its orthogonal version is more computationally expensive. This prevents the exploitation of the orthogonal matching pursuit, which can provide image modeling with less number of terms that can significantly faciliate the target extraction and clutter reduction. In this paper, we introduce the usage of the fast orthogonal search method, which is an orthogonal modeling technique, instead of matching pursuit for small infrared imaging target detection. The fast orthogonal search performs the orthogonalization process in more efficient way, so its computational time is much less than the original orthogonal matching pursuit. Moreover, the fast orthogonal search provides a precise extraction of the target's model parameters that may be used for tracking purposes.
SELECTIVE CYTOTOXICITY EFFECTS OF R-GLYCIDOL AND S-GLYCIDOL ON VERO AND HCT 116 CELLS IN EVALUATING THE INCIDENCE OF GLYCIDYL ESTERS IN EDIBLE OILS AND FATS

Despite their feasibility as food flavouring, glycidol is classified as a probable carcinogen under group 2A by WHO. The cytotoxicity effects of isomers of R-and S-glycidol on African green monkey kidney normal cell lines (Vero) and human colon cancer cell line (HCT 116) remain unclear. Cell viability of the treated Vero and HCT 116 cells was determined using the AlamarBlue ® assay. Dichlorodihydrofluorescein diacetate (DCFDA) was used to evaluate reactive oxygen species (ROS) activity. Protein expressions of ERK ½, p-ERK, Bcl-2 and caspase-3 were investigated using western blotting technique. The findings indicated that R-and S-glycidol (1.16 µg/mL) exposure dramatically reduced the cell viability of the treated HCT 116 cells but was slightly cytotoxic to Vero cells, hence triggering ROS activity. R-and S-glycidol cause down-regulation of ERK ½, p-ERK, and BCL-2 protein expression at 48 h of treatment. Furthermore, both R-and S-glycidol possess close interaction in proximity to 3D-structure of human ERK and p-ERK protein receptors. In conclusion, R - and S -glycidol potentially triggered oxidative stress and affected ERK protein phosphorylation, leading to caspase-3 independent cell death of the treated HCT 166 cells, suggesting that lower doses (<1.16 µg/mL) of R - and S -glycidol are safe for human consumption
Annually resolved southern hemisphere volcanic history from two Antarctic ice cores

The continuous sulfate analysis of two Antarctic ice cores, one from the Antarctic Peninsula region and one from West Antarctica, provides an annually resolved proxy history of southern semisphere volcanism since early in the 15th century. The dating is accurate within ±3 years due to the high rate of snow accumulation at both core sites and the small sample sizes used for analysis. The two sulfate records are consistent with each other. A systematic and objective method of separating outstanding sulfate events from the background sulfate flux is proposed and used to identify all volcanic signals. The resulting volcanic chronology covering 1417–1989 A.D. resolves temporal ambiguities about several recently discovered events. A number of previously unknown, moderate eruptions during late 1600s are uncovered in this chronology. The eruption of Tambora (1815) and the recently discovered eruption of Kuwae (1453) in the tropical South Pacific injected the greatest amount of sulfur dioxide into the southern hemisphere stratosphere during the last half millennium. A technique for comparing the magnitude of volcanic events preserved within different ice cores is developed using normalized sulfate flux. For the same eruptions the variability of the volcanic sulfate flux between the cores is within ±20% of the sulfate flux from the Tambora eruption.
The Impact of Subtidal Circulation on Internal-Tide-Induced Mixing in the Philippine Sea

AbstractThis study uses a primitive equation model to estimate the time-varying M2 internal tide dissipation in the Philippine Sea in the presence of the subtidal circulation. The time-mean diapycnal diffusivity due to the M2 internal tide is estimated to be 4.0–4.8 × 10−4 m2 s−1 at the Luzon Strait and 2–9 × 10−5 m2 s−1 in the Philippine Sea basin. The variability in internal tides and their interactions with the subtidal ocean circulation results in significant spatial and temporal variability in the energy available for mixing. The subtidal circulation influences internal-tide-induced mixing in two ways: by introducing variability in internal tide generation and by increased dissipation of baroclinic energy associated with greater velocity shear. Close to the generation site, mixing is dominated by high-mode internal tide dissipation, while in the far field the influence of the mesoscale energy on internal tide dissipation is significant, resulting in increased dissipation. This study presents model-ba.
Logistic regression for predicting the location of vegetable vendors in the city of Raipur, Chhattisgarh, India

Urban planning plays a pivotal role in guaranteeing the functionality, accessibility, and adaptability of cities to meet the needs of their diverse population and various official and informal economic activities. The primary objective of this work is to investigate the application of machine learning techniques in the identification of optimal places for vegetable vendors within the urban context of Raipur City, India. While logistic regression has been used in previous studies to address issues such as soil erosion, land susceptibility mapping, and identifying potential sites for health facilities and mining exploration, this model has yet to be applied to determining suitable locations for vegetable vendors. This gap in research could be beneficial if addressed, particularly in India, where many city residents rely heavily on vegetable vendors for their dietary needs. The paper’s main focus is on evaluating the reliability of the model and encouraging its implementation in similar scenarios, highlighting its efficiency and adaptability, which are also evaluated in this study. A stratified random sampling technique was implemented to collect data from four different regions of Raipur City. Subsequently, the gathered data was subjected to analysis employing the logistic regression machine learning technique, with the objective of making predictions. The results obtained from the analysis were highly impressive, as the model successfully predicted 44 out of the total 50 locations with an accuracy rate of 88%.
HEM: An Improved Parametric Link Prediction Algorithm Based on Hybrid Network Evolution Mechanism

Link prediction plays an important role in the research of complex networks. Its task is to predict missing links or possible new links in the future via existing information in the network. In recent years, many powerful link prediction algorithms have emerged, which have good results in prediction accuracy and interpretability. However, the existing research still cannot clearly point out the relationship between the characteristics of the network and the mechanism of link generation, and the predictability of complex networks with different features remains to be further analyzed. In view of this, this article proposes the corresponding link prediction indexes Reg, DFPA and LW on a regular network, scale-free network and small-world network, respectively, and studies their prediction properties on these three network models. At the same time, we propose a parametric hybrid index HEM and compare the prediction accuracies of HEM and many similarity-based indexes on real-world networks. The experimental results show that HEM performs better than other Birnbaum–Saunders. In addition, we study the factors that play a major role in the prediction of HEM and analyze their relationship with the characteristics of real-world networks. The results show that the predictive properties of factors are closely related to the features of networks.
Short-Term Morphological and Shoreline Changes at Trinkat Island, Andaman and Nicobar, India, After the 2004 Tsunami

The tsunami waves generated during the Sumatra-Andaman earthquake of 26 December 2004 devastated the coastal area along Trinkat Island, causing sudden changes to the morphology of the landforms. This study uses a series of satellite images to record the short-term morphological response and shoreline changes as well as the recovery of coastal land after its destruction. Results indicate that the island experienced substantial erosion and a significant reduction in land area. Shoreline erosion is more prevalent than accretion at an average linear regression rate of ∼−9 m per year between 2004 and 2013. The major morphological changes at Trinkat Island were observed in coastal inlets, beaches, and bay head-lands. Straight beaches had almost recovered eight years after the tsunami; however, erosion is continually observed in other areas. Our study will help understanding the response and recovery of shorelines in Indian Ocean regions after the 2004 tsunami.
Evolution of atmospheric particles along trajectories crossing the Los Angeles basin

Trajectory analysis shows that the air masses arriving at Riverside, CA, on the afternoons of September 24 and 25, 1996, previously passed near air monitoring sites at Santa Catalina Island, Long Beach, and Fullerton, CA, in succession. At those sites, electrical aerosol analyzers and optical particle counters acquired continuous particle size distribution data, inertial impactor and bulk filter samples were taken with 4-h time resolution for determination of particle size and chemical composition during intensive sampling periods once per day at each site, and aerosol time-of-flight mass spectrometers acquired continuous data on particle size and composition at the single-particle level. These data permit particle evolution to be studied within single air masses as they sequentially pass several monitoring sites over a 2-day period. Air parcels associated with both of the trajectories studied show mineral dust, organic carbon, particulate nitrate and ammonium, and total suspended particulate matter concentrations that increase as transport occurs across the air basin. Large increases in particulate ammonium and nitrate concentrations occur between Fullerton and Riverside due to overnight air stagnation in an area with high gaseous ammonia emissions. The aerosol time-of-flight mass spectrometers show how the externally mixed population of individual particles is modified chemically during transport from Long Beach to Riverside, CA. The coastal aerosol at Long Beach containing sea-salt particles and primary carbon particles is changed substantially as these particles individually accumulate secondary ammonium nitrate and organics during travel across the air basin.
The pathway toward sustainable and resilient infrastructure development in Malaysia

ABSTRACT Sustainable infrastructure represents a tremendous opportunity as a catalyst for addressing socioeconomic challenges, restoring economic advancement, and preserving biodiversity. Nevertheless, the potential of key policy and institutional modifications to raise the profile of green infrastructure remains limited. This paper examines the top-down initiatives implemented by the Malaysia government to encapsulate all efforts to adapt the country to sustainable infrastructure development. The paper highlights the evolution of green and sustainable development in Malaysia by incorporating fiscal, institutional, legislative, and regulatory mechanisms into the country's national plan. The comprehensive review of the integration of green and sustainable approaches into current initiatives offers a holistic perspective on Malaysia's progress towards achieving sustainable development and becoming a climate-resilient nation. The detailed information provided on the current establishment can further serve as a basis for future discussions regarding the formulation of more innovative solutions for Malaysia to ensure the implementation of sustainable and resilient development.
A Reconfigurable Processing Element for Multiple-Precision Floating/Fixed-Point HPC

High-performance computing (HPC) can facilitate deep neural network (DNN) training and inference. Previous works have proposed multiple-precision floating- and fixed-point designs, but most can only handle either one independently. This brief proposes a novel reconfigurable processing element (PE) supporting both energy-efficient floating-point and fixed-point multiply-accumulate (MAC) operations. This PE can support <inline-formula> <tex-math notation="LaTeX">$9\times $ </tex-math></inline-formula> BFloat16 (BF16), 4<inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula>half-precision (FP16), <inline-formula> <tex-math notation="LaTeX">$4\times $ </tex-math></inline-formula>TensorFloat-32 (TF32) and <inline-formula> <tex-math notation="LaTeX">$1\times $ </tex-math></inline-formula>single-precision (FP32) MAC operation with 100% multiplication hardware utilization in one clock cycle. Besides, it can also support 72<inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula>INT2, 36<inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula>INT4 and 9<inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula>INT8 dot product plus one 32-bit addend. The design is realized in a 28nm-process at a 1.471GHz slow-corner clock frequency. Compared with state-of-the-art (SOTA) multiple-precision PEs, the proposed work exhibits the best energy efficiency of 834.35GFLOPS/W and 1761.41GFLOPS/W at TF32 and BF16 with at least 10<inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula>and 4<inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula>improvement, respectively, for deep learning training. Meanwhile, this design supports energy-efficient fixed-point computing with a small hardware overhead for deep learning inference.
Evaluation of seawater intrusion on the groundwater data obtained from the monitoring network in Korea

Over-exploitation of groundwater induced seawater intrusion throughout coastal plains of Korea. To protect groundwater resources from the seawater intrusion hazards, a monitoring programme was undertaken. Groundwater data obtained from 45 seawater intrusion monitoring wells were evaluated in this study. The groundwater levels were mainly affected by pumping for agricultural irrigation and tidal fluctuations. Decreases in water levels accompanied increases in electrical conductivities. Vertical profile of electrical conductivity indicated progressive seawater encroachment. A detailed investigation and mitigation measure should be undertaken for the areas where electrical conductivities are continuously increasing.
A biophysical model applied to the Benguela upwelling system

A three-dimensional biophysical model for the Benguela upwelling system is described. The model (NORWECOM) has been used in previous works to study model circulation, primary production and dispersion of particles (fish larvae and pollution) in the North Sea. The primary task of this work has been to validate its implementation in the Benguela upwelling system by reproducing several of the main characteristics in the area. The results show a well-developed Agulhas Current, the Agulhas retroflection and Agulhas rings. The model is also able to identify main upwelling cells in their correct location, the Angola-Benguela front and a longshore thermal front outside the upwelling area. The Benguela Current and a poleward undercurrent, following the shelf-break, is also shown.
Petrology and Sr, Nd, and Pb isotope geochemistry of mid‐ocean ridge basalt glasses from the 11°45′N to 15°00′N segment of the East Pacific Rise

Basaltic glasses from the geophysically well‐studied section of the East Pacific Rise (EPR) between 11°45′N to 15°00′N range from normal mid‐ocean ridge basalts (MORB) to transitional MORB and their major element variations correlate with isotopic and trace element indices of enrichment. To first order, basalts enriched in Na8.0, incompatible elements, 87Sr/86Sr, and 206Pb/204Pb but low in Fe8.0 and 143Nd/144Nd are more prevalent along the shallow portions of the ridge axis. In detail, the samples can be divided into two chemical and geographical Groups: the southern bathymetric dome, extending from the 11°45′N overlapping spreading center to ∼14°10′N, and the northern Group, extending from ∼14°10′N to the Orozco transform. The boundary between these two Groups is apparent in a change in isotopic composition. Results indicate that there are three mantle source components that produce the compositional variability observed among samples from the 11°45′N to 15°00′N segment of the EPR: a depleted mantle component, a seamount‐type enriched mantle component, and an Indian MORB‐like mantle component. South of ∼14°10′N, the geochemical variability is dominated by binary mixing between a depleted mantle component and an enriched component similar to near‐ridge seamounts. North of ∼14°10′N, the low 206Pb/204Pb, high 207Pb/204Pb Indian MORB‐like component exerts a major influence on the geochemical variability of the axial lavas. Regional averages of major element composition (e.g., Na8.0 and Fe8.0) show relatively limited variability consistent with the restricted range in depth for this region and plot within the Pacific field of the previously defined global trends. Major element variations among individual samples, however, parallel the global array, and their correlation with indices of mantle enrichment supports the idea that the “Pacific‐type local trend” results from small‐scale heterogeneities in the mantle beneath the EPR. Our results also indicate that tectonic segmentation and magmatic boundaries are probably not causally related in this study area and that the sizes of the present magma chambers are not a dominant factor in determining the compositional variability of erupted lavas.
OffRisk: a docker image for annotating CRISPR off-target sites in the human genome

Abstract Summary The CRISPR-Cas9 system has been adapted to achieve targeted genome editing as well as transcriptional control by customizing 20-nt guide RNA (gRNA) molecules for desired regions in the target genome. Designing gRNAs must consider nonspecific and unintended binding, known as off-targets, since these may have potentially harmful effects. To assist in gRNA design, we have developed OffRisk. This Docker-based tool annotates off-target sites in the human genome and assigns them a potential risk label by incorporating functional and regulatory information at different molecular levels. Availability and implementation OffRisk is available at https://github.com/IsanaVekslerLublinsky/OffRisk and https://github.com/IsanaVekslerLublinsky/OffRisk-ui (including code, user guide, docker installation guide, and running examples). All processed datasets are available at https://zenodo.org/record/8289271.
INTEGRASI SOLAR HOME SYSTEM DENGAN JARINGNA LISTRIK PLN MENGGUNAKAN KENDALI RELAY DAN KONTAKTOR MAGNET

Di negara kita I ndonesia yang memiliki iklim tropis, pemanfaatan energi surya sangatlah memungkinkan untuk diaplikasikan.Khususnya wilayah kota Pontianak, potensi pemanfaatan energi surya sebagai alternatif untuk menghasilkan energi listrik sangatlah mendukung, karena berdasarkan segi geografisnya kota Pontianak, Kalimantan Barat terletak pada posisi 0°02'24" lintang utara dan 0°05'37" lintang selatan, ditunjang lagi dengan posisi kota yang di lewati oleh garis khatulistiwa sehingga memiliki intensitas cahaya matahari yang baik. Skripsi ini membahas tentang Integrasi Solar Home System Dengan Jaringan Listrik PLN Menggunakan Kendali Relay dan Kontaktor magnet, yang mana dengan mengintegrasikan solar home system dengan sumber energi listrik yang telah tersedia (PLN) diharapkan untuk dapat menghemat atau mengatasi kebutuhan akan energi listrik serta memeperoleh kontinuitas energi listrik yang selalu tersedia untuk rumah tinggal di kota pontianak,. Metode pengambilan data yang digunakan dalam penelitian ini dengan melakukan perancangan sistem kendali dan mengujianya , kemudian dilakukan pengukuran untuk sistem secara keseluruhan.Dan dilakukan analisis data serta analisis teknologi. Dari hasil pengukuran/pengujian yang dilakukan menunjukan bahwa, untuk setting saklar tegangan batas atas 26.8V batas bawah 23.8 V, solar home system dengan kapasitas 100 Wp dapat digunakan untuk menyuplai beban 255 watt selama lebih kurang 40-50 menit dengan lama rentang waktu pengisian baterai kurang lebih 180 menit. Untuk setting saklar tegangan batas atas 25.8V batas bawah 23.8 V, solar home system dengan kapasitas 100 Wp dapat digunakan untuk menyuplai beban 255 watt selama lebih kurang 15-20 menit dengan lama rentang waktu pengisian baterai kurang lebih 40-60 menit. Faktor cuaca dan besarnya beban yang digunakan sangat berpengaruh terhadap lamanya operasi solar home system dalam menyuplai beban. Dan dari hasil pengujian/pengukuran ini menunjukan bahwa Sistem kendali relay dan kontaktor magnet dapat bekerja dengan baik namun masih memiliki kelemahan yaitu terjadinya kedip lampu saat peralihan. (meskipun kedipnya terjadi sangat cepat). Kata Kunci : Integrasi Solar Home System Dengan Jaringan Listrik PLN,Kendali Relay dan Kontaktor magnet,Saklar Sensor Tegangan.