Miracle-dz/UniFAR-FTUs huggingface dataset:
Determining 2-D Optical Characteristics- Dependent Surface Temperature of Organic Light-Emitting Diode

This article proposes a method for determining the 2-D photon counts distribution of organic light-emitting diode (OLED) devices. Photon counts distribution is proved to be an effective method of distinguishing the performance of current spreading. Because of the close relationship among temperature, photon counts distribution, and current density, a quantitative predicted method of 2-D photon counts for OLED devices is proposed. The photon counts distribution has a minimum value due to the range of the physical parameters in the proposed model based on the practical properties of OLED device. For a given current, the location of minimum photon counts can be determined. The proposed model provides a new multiphysical model, including photon counts distribution and photon counts nonuniformity of OLED device with electrical–thermal–optical properties. With different injection current and ambient temperature, the nonuniformity of OLED’s photon counts distribution is analyzed using a high-speed camera with noncontact and high resolution. The experimental comparison shows that the maximum error of photon counts distribution of OLED device with different current and ambient temperature is less than 6%, proving this method’s accuracy. The 2-D photon counts distribution of OLED device can be temperature or current density crowding resulting in heat accumulation and the restriction of the emitting photons; hence, thermal flux is an essential factor influencing the photon counts distribution. It is useful for the designer to control the parameters of OLED device and driver to meet the requirement set in the optical standard.
Droplet-based assembly of magnetic superballs

The self-assembly of materials driven by the inherent directionality of the constituent particles is of both practical and fundamental interest because it enables the fabrication of complex and hierarchical structures with tailored functionalities. By employing evaporation assisted self-assembly, we form opal-like structures with micro-sized magnetic superball particles. We study the structure formation of different superball shapes during evaporation of a dispersion droplet with in-situ small angle x-ray scattering with microradian resolution in the absence and presence of an external magnetic field. In the absence of a magnetic field, strong shape-dependent structures form as the water evaporates from the system. Applying a magnetic field to the droplet has a unique effect on the system; strong magnetic fields inhibit the growth of well-ordered assemblies due to the formation of out-of-equilibrium dipolar structures while lower magnetic fields allow particles to rearrange and orient without inhibition. In this work, we show how the superball assembly inside a droplet can be controlled by the magnetic field strength and the superball shape. The tunability of these parameters not only enables the controllable formation of macroscopic colloidal assemblies but also opens up possibilities for the development of functional materials with tailored properties on a macro-scale.
Prevalence of urinary schistosomiasis among children from three selected local government areas in Adamawa State, Nigeria

Schistosomiasis is a socio-economic and public health important human parasitic disease in the tropics. This study was carried out to determine the prevalence of urinary schistosomiasis among children in Ganye, Jada and Mayo Belwa Local Government Areas (LGAs) of Adamawa State. Urine samples were collected from 600 children between the ages of 5-16, analyzed using modified concentration sedimentation method and examined using microscopy. Diagnosis was based on the presence of Schistosoma haematobium eggs in urine samples. The overall prevalence of urinary schistosomiasis was 5.2% (32/600). Ganye LGA had the highest number positive cases with the prevalence of 9.5% (19/200), followed by Mayo Belwa LGA 4.0% (8/200) and the least in Jada LGA 2.5% (5/200). There was statistically significant difference in the prevalence of schistosomiasis among children and the different LGAs (X2 = 10.761; p<0.05). Highest prevalence of 8.3% was recorded between age groups of 13-16 years, followed by 4.9% in 5-8 years and least of 4.8% in 9-12 years. There was no statistical significant difference between prevalence of schistosomiasis among the age groups (p>0.05). Male children showed higher prevalence (7.5%) than female children (3.1%) with statistical significant difference (p<0.05). Based on parent education, children whose parents had non-formal education had higher prevalence (7.8%) and the least (0.0%) was recorded in children whose parent had tertiary education. Children whose parents were farmers had higher prevalence (5.8%) and the least prevalence was recorded in the children of civil servants (2.7%). No statistical significant association was found between prevalence of schistosomiasis with parent education and occupation (p>0.05). The present study reveals low prevalence of urinary schistosomiasis among children. A further expanded study that may cover the entire state as well as control measures designed to target the parasite and its intermediate host to prevent higher prevalence in future is recommended.
Implementation of the Independent Learning Curriculum in Profil Pelajar Pancasila of Elementary School Students

Profil pelajar pancasila merupakan sikap atau karakter yang didasarkan pada nilai-nilai luhur pancasila. Profil Pelajar Pancasila menjadi kompetensi dan karakter yang harus dimiliki pelajar di Indonesia. Penelitian ini bertujuan untuk mengetahui bagaimana implementasi kurikulum merdeka belajar dalam profil pelajar pancasila siswa sekolah dasar. Penelitian ini menggunakan metode penelitian deskriptif dengan pendekatan kuantitatif. Data dalam penelitian ini diperoleh dengan menggunakan angket. Adapun sampel dalam penelitian ini yaitu 84 guru kelas satu dan kelas empat di 42 Sekolah Dasar Kecamatan Mranggen Demak. Berdasarkan hasil penelitian diperoleh hasil nilai rata-rata 31,38, Nilai tengah 31, Nilai yang sering muncul 30, Nilai terendah 26, Nilai tertinggi 37, Standar deviasi 1,999 dan variansnya 3,998 untuk variabel kurikulum merdeka belajar. Sedangkan pada variabel profil pelajar pancasila diperoleh nilai rata-ratanya 26,81, Nilai Tengah 27, Nilai yang sering muncul 27, Nilai Terendah 20, Nilai Tertinggi 33, Standar deviasi 2,442, dan variansnya 5,963. Dari hasil analisis data penelitian diperoleh hasil bahwa variabel X telah memenuhi tujuh indikator variabel kurikulum merdeka belajar dan untuk variabel Y telah memenuhi enam indikator profil pelajar pancasila. Hasil analisis data penyebaran angket tersebut menunjukkan bahwa Implementasi kurikulum merdeka belajar dalam Profil Pelajar Pancasila siswa sekolah dasar dapat dilaksanakan dengan baik.
Strategic Intervention Material (SIM) on Senior High School Student Learning in Stocks and Bonds

Strategic Intervention Material (SIM) is a type of instructional material that is designed to be targeted and effective for students who are struggling with a particular concept or skill. SIM typically includes a variety of activities and resources that are designed to help students learn and master the material. This study investigated the effectiveness of Strategic Intervention Material (SIM) in improving the academic achievement of grade 11 students in distinguishing stocks and bonds. A quasi-experimental design with a non-equivalent control group pretest-posttest design was used. Sixty-four (64) participants were selected as subjects of the study. Mean and t-tests were used as tools in the analysis of data. The results revealed that SIM significantly improved the academic achievement of students in distinguishing stocks and bonds. The experimental group achieved a significantly higher mean score on the posttest than the control group. Additionally, the experimental group achieved a better gain score than the control group. This study suggests that SIM is an effective instructional strategy for improving student achievement in distinguishing stocks and bonds. Further research is needed to investigate the effectiveness of SIM in other subjects and with other student populations.
Determination of sporozoite infection rate of indoor resting female Anopheles mosquitoes in Gombe South, Gombe State, Nigeria

Infected female Anopheles mosquitoes are the culprits of malaria. The abundance and distribution of malaria vectors in communities contribute significantly in malaria transmission. Understanding the magnitude and intensity of sporozoite infection rates is very sensitive and powerful indices for describing the epidemiology of malaria which will aid in strategizing malaria control programme. The present study determines the sporozoite infection rates of female Anopheles mosquitoes in the four Local Government Areas (LGA) of Gombe South, Gombe State, Northeastern Nigeria. Mosquitoes were collected using Pyrethrum Spray Catch (PSC) and were dissected to check the presence of sporozoites. Out of the 1,860 female Anopheles mosquitoes dissected, 665(35.8%) were infected with sporozoites. The highest infection rate was observed from Kaltungo LGA 145(41.7%), followed by Billiri LGA 182(36.3%), and 205(35.4%) was recorded from Balanaga. The lowest infectivity rate was observed from Shongom LGA 133(30.9%), p<0.005 which is highly significant statistically. With regards to monthly distribution of sporozoites, the highest infection rate was recorded in December (64.7%), January 60.0%, (64.5%), and August (60.7%) from Balanga, Billiri, Kaltungo and Shongom LGA respectively. Meanwhile the least was observed in July (2.8%), December (7.7%), April (20.0%), and March (11.6%) from Balanga, Billiri, Kaltungo and Shongom LGA respectively, p<0.005 which is highly significant statistically. However, (0.0%) sporozoite infection was obtained in September and March from Billiri, Kaltungo and Shongom LGA respectively. The present study therefore recommends malaria vector control through community based efforts by destruction of mosquitoes breeding sites, use of insect’s repellents, environmental sanitation and application of oil in stagnant water in order to reduce vectors population.
Understanding functional connectivity in shortgrass and mixedgrass prairies using the swift fox as a model organism

Habitat fragmentation and loss are the greatest sources of biodiversity loss today. The negative relationship between these phenomena and myriad ecological processes are well-documented. Chief amongst these impacts is the disruption of dispersal regimes, resulting in isolated or semi-isolated groups. Reduced dispersal in turn negatively influences gene flow between groups of individuals, resulting in reduced genetic diversity, increasing risk of inbreeding depression and, ultimately, heightened extinction risk. Thus, maintaining functional connectivity in ecosystems is high on the list of conservation priorities. The Great Plains is a vast ecosystem characterized by habitat fragmentation natural and anthropogenic in origin. Remnant shortgrass and mixedgrass prairies, in which this study occurs, have been reduced to < 50% of their previous extensive geographic area, largely due to agricultural development. Anthropogenic impacts on connectivity are predicted to increase, resulting in loss of up to 50% of remnant native grasslands. Thus, understanding these factors’ influence on grassland connectivity is critical for conservation and management in both contemporary and future time scales. Here, I employed a landscape genetics approach to address a series of objectives, which include assessing current and historic genetic diversity and structure in swift fox populations, relating gene flow and genetic structure patterns to landscape influences, and providing insight into conservation needs for the species. In addition, I used the swift fox as a model species to elucidate connectivity patterns across two focal areas in the shortgrass and mixedgrass prairies, ultimately presenting functional connectivity maps for these regions. Finally, I developed a new method for studying connectivity networks in fragmented populations with empirically derived cost metrics, and demonstrated its utility for identifying movement corridors using least-cost path modeling; this analysis was conducted in a fragmented swift fox population wherein genetic diversity appears to be linked to inter-population movement; thus identification of movement corridors is a critical conservation need locally.
Antioxidative Parameters Improvements on Nutritional Approach: A Study on Hypoxic Multiple Organs of Sprague-Dawley

In various organs, such as the heart, kidneys, and colon, hypoxia enhances the generation of reactive oxygen species (ROS). However, the effects of reoxygenation, as occurs in intermittent hypoxia (IH) to achieve full recovery of hypoxic organs, are not yet clear. The acclimatization response can boost blood oxygen transport capacity, while hypoxia ROS can impact erythrocytes and plasma behavior, resulting in poor peripheral blood flow. This study aimed to study the antioxidant impact of puree Ficus carica (PFC) in rats with IH-induced oxidative stress. Twenty-nine Sprague-Dawley rats were randomly divided into five groups: group N (control, untreated and not exposed to IH, and Group HC was exposed to hypoxia and received distilled water. Group HPF-6.25, HPF-12.5, and HPF-25 (n = 6) received PFC with doses 6.25; 12.5; and 25 ml/kg/d, respectively for 4 weeks before IH exposure. At the end of 4 weeks, all animals except controls were exposed to IH (10% O2 and 90% N2; 4 hours/day for one week). Hematological parameters were measured with several oxidative stress indicators. Hypoxic rats exhibited substantially higher hemoglobin, hematocrit, and mean corpuscular hemoglobin concentrations. All groups exposed to IH showed increased malondialdehyde (MDA) and decreased superoxide dismutase (SOD) activity in the heart, kidneys, and colon. The increasing MDA and decreasing SOD compared to controls and pre-treatment using PFC had a dose-dependent protective effect on the heart, kidneys, and colon.
Good and bad practice in the communication of uncertainties associated with the relationship between climate change and weather-related natural disasters

Abstract There is evidence that climate change is affecting the frequency, intensity and geographical distribution of weather-related natural disasters. However, the exact details of this relationship are subject to varying degrees of uncertainty. Scientists, policy-makers and others have recognized how this connection could influence public support for decisions and policies around climate change, such as measures to reduce greenhouse gas emissions. This has led to a number of cases in which stakeholders in the public policy debate about climate change have overstated or understated uncertainties, relative to the scientific assessments of the Intergovernmental Panel on Climate Change. Although such distortions in the expression of uncertainties are motivated by a desire to justify particular policy positions, they could instead undermine the credibility of, and trust in, information sources and diminish public support.
A computationally-efficient maximum-likelihood classifier employing prior probabilities for remotely-sensed data

Abstract A time-efficient method for evaluating the maximum-likelihood classifier for LANDSAT MSS data is described and its extension to the case of unequal prior probabilities is summarized, following Shlien (1975) and Strahler (1980). The use of unequal prior probabilities is demonstrated by example and it is shown that, where classes are well-separated, then the effect of including prior probability estimates is negligible, but where classes are closely-related, then the choice of prior probability estimate can have a considerable effect.
Effects of Al2O3 Interfacial Layer Thickness for HZO/InGaAs Ferroelectric Capacitors With Superior Polarization and MOS Interface Properties

A ferroelectric device with a III–V semiconductor is one of the promising candidates for high-performance and energy-efficient electronic and photonic applications. These applications require high remanent polarization and low interface trap density. Here, we examined the ferroelectric characteristic and MOS interface property for the InGaAs metal-ferroelectric-insulator-semiconductor (MFIS) ferroelectric capacitor with varying Al2O3 interfacial layer (IL) thickness and crystallization temperature. We found that the atomic layer deposition (ALD)-deposited HfO2/ZrO2 (HZO) nanolaminates are well crystallized with a (111)-oriented orthorhombic phase on InGaAs crystals at the low crystallization temperature of 400 °C. By optimizing the IL thickness and crystallization temperature, the InGaAs MFIS ferroelectric capacitor achieves a high remanent polarization while maintaining a low interface trap density. Furthermore, the InGaAs MFIS ferroelectric capacitor also presents good retention over 104s and endurance in 105–106 cycles at 10 kHz.
Biofilm Formation of Locales Clinical Multidrug Resistance Klebsiella
pneumoniae Isolated from Different Sources deals with Antimicrobial Resistance

The goal of this study was to detect antibiotic resistance and determine the ability of clinical isolates Klebsiella pneumoniae (K. pneumoniae) to form biofilms and detect the relationship between biofilm formation and antimicrobial resistance that depends on the specimen sources at the localized Baghdad Hospitals. This gram-negative rod bacterium is an opportunistic pathogen that can cause various illnesses in people and animals, such as important respiratory tract infections. For these reasons, our study included 87 isolates of K. pneumoniae from different clinical cases. The number and percentage of obtained isolates according to the sources distributed as specimens: 26(29.9%) urine, 25(28.7%) blood, 8(9.2%) stool, and 4(4.6%) sputum, as well as swabs:11(12.6%) burn, 9(10.3%) vagina and 4(4.6%) wound. The antibiotic susceptibility test results showed colistin, Imipenem, and meropenem were more effective against the isolates. The tissue culture plate and Congo red methods were used to evaluate biofilm formation. Finally, polymerase chain reaction was used to identify two genes linked with biofilm formation: MrkD and FimH. The isolates showed different abilities to produce biofilms based on clinical sources. The result appeared (97.7%) of isolates as biofilm producers from the following: 41(47.13%) strongly, 33 (37.93%) moderately, and 11 (12.64%) weakly. While only two isolates 2 (2.3 %) represented non-biofilm producers. 100 and 91% of the isolates, respectively, had the MrkD and FimH biofilm formation genes, according to molecular analysis. A recent study showed biofilm formation by K. pneumoniae strains isolated from blood specimens could form stronger biofilms. On the other hand, stool specimens formed weaker biofilm compared to them. According to this study, multidrug-resistant (MDR) K. pneumoniae strains' capacity to form biofilms and their antibiotic resistance profile is positively correlated. These could aid in developing therapeutic therapies for infections brought on by K. pneumoniae resistant to carbapenems, considered the "final line of defense" antibiotics. We can infer from this work that K. pneumoniae could be isolated from many sources and was MDR, as well as having the different capacity to build biofilm in various ways, especially in hospital cases of high antibiotic resistance. Keywords: K. pneumoniae, Biofilm formation, MDR, PDR, XDR, Congo red
Enhancing Employee Productivity Through Technology System AI-Based Approaches

This research aims to address the research gap regarding the use of AI in enhancing employee productivity. The study focuses on the role of AI in employee engagement and performance evaluation. The research adopts a quantitative approach, comparing various AI-based algorithms such as random forest, artificial neural network, decision tree, and XGBoost. The study proposes an ensemble approach called RanKer, which combines these algorithms to provide performance ratings for employees. The empirical results demonstrate the efficacy of the proposed model in terms of precision, recall, F1-score, and accuracy. Additionally, the research explores the impact of AI on employee engagement, highlighting the potential for real-time monitoring, sentiment analysis, and natural language processing to create a holistic work environment that promotes clarity, skill development, recognition, and wellness. The findings suggest that the combination of AI and employee engagement can lead to increased productivity, improved communication, and a collaborative work environment. This research contributes to the understanding of how AI can be leveraged to enhance employee productivity and provides recommendations for expanding the use of AI in employee engagement practices.
THE DETERMINANTS OF FIRM VALUE

This research aims to obtain empirical evidence about the impact of leverage, profitability, firm size, and dividend policy toward the firm value of non-cyclical firms which is listed on the Indonesia Stock Exchange from period of 2018-2020. Using purposive sampling method, the sample in this study were 21 non-cyclical companies. The multiple linear regression model is used in this research and processing data with E-views 12 SV. In this research, firm value as dependent variable measures with a Price to Book Value. The result concludes that dividend policy and profitability impact positively toward firm value, firm size has no impact toward firm value with negative direction, and leverage has no impact toward firm value with positive direction.
PulseOblivion: An Effective Session-Based Continuous Authentication Scheme Using PPG Signals

In this paper, we propose a novel session-based continuous authentication model using photoplethysmography (PPG). Unlike previous PPG-based authentication techniques that generate user signatures only during the initial interaction, our session-based approach tackles inter session PPG drifting by generating a user signature at the start of each session. Our model is composed by two modules: Firstly, heavy deep autoencoders (AE) are utilized for feature extraction and, secondly, a lightweight Local Outlier Factor (LOF) is employed for user authentication.Additionally, we introduce a continuous updating system for the LOF model, which automatically recovers from security breaches and can enhance authentication accuracy by more than 9%. Our experiments show that in a single-session scenario, our model achieves authentication accuracies of 93.5% and 91.8% on the CapnoBase and BIMDC benchmarking datasets, respectively, outperforming the state-of-the-art baseline model by 3.2% and 1.6% on both datasets, respectively. In multiple-session scenarios, our scheme attains an authentication accuracy of 95% when tested on the BioSec2 dataset, effectively mitigating inter-session PPG drifting and achieving an advantage of more than 8.5% in authentication accuracy over the state-of-the-art method. In terms of execution speed, our solution is seven times faster at runtime compared to competing state-of-the-art solutions.