Miracle-dz/UniFAR-FTUs huggingface dataset:
Waqf Development Model for SDG-16 (Peace, Justice and Strong Institutions)

Waqf-based development is in line with the goals of the SDGs. Waqf institutions play an important role in actualizing the SDGs targets including point 16 which is peace, justice and strong institutions. This study aims to design and propose a waqf model for SDGs point 16 peace, justice, and strong institutions in the world by combining the concept of waqf with the activities of related institutions. This research proposes that the best waqf-SDGs model for point 16 is the integrated Waqf & ZIS model. This model is a type of waqf that is social in nature, where waqf is collaborated with ZIS instruments. So that the utilization of this instrument is suitable for social purposes. The implementation of the waqf models that have been proposed with their respective priorities can potentially become an Islamic social fund instrument that participates in supporting the SDGs to ensure that all humans can enjoy a prosperous life and advance economically, socially, and technologically in harmony with nature.
Reflection of Linear Internal Tides from Realistic Topography: The Tasman Continental Slope

AbstractThe reflection of a low-mode internal tide on the Tasman continental slope is investigated using simulations of realistic and simplified topographies. The slope is supercritical to the internal tide, which should predict a large fraction of the energy reflected. However, the response to the slope is complicated by a number of factors: the incoming beam is confined laterally, it impacts the slope at an angle, there is a roughly cylindrical rise directly offshore of the slope, and a leaky slope-mode wave is excited. These effects are isolated in simulations that simplify the topography. To separate the incident from the reflected signal, a response without the reflector is subtracted from the total response to arrive at a reflected signal. The real slope reflects approximately 65% of the mode-1 internal tide as mode 1, less than two-dimensional linear calculations predict, because of the three-dimensional concavity of the topography. It is also less than recent glider estimates, likely as a result o.
Ultra-stable near-infrared Tm3+-doped upconversion nanoparticles for in vivo wide-field two-photon angiography with a low excitation intensity

Two-photon luminescence with near-infrared (NIR) excitation of upconversion nanoparticles (NPs) is of great importance in biological imaging due to deep penetration in high-scattering tissues, low auto-luminescence and good sectioning ability. Unfortunately, common two-photon luminescence is in visible band with an extremely high exciation power density, which limits its application. Here, we synthesized NaYF4:Yb[Formula: see text]Tm@NaYF4 upconversion NPs with strong two-photon NIR emission and a low excitation power density. Furthermore, NaYF4:Yb[Formula: see text]Tm@NaYF4@SiO2@OTMS@F127 NPs with high chemical stability were obtained by a modified multilayer coating method which was applied to upconversion NPs for the first time. In addition, it is shown that the as-prepared hydrophillic upconversion NPs have great biocompatibility and kept stable for 6 hours during in vivo whole-body imaging. The vessels with two-photon luminescence were clear even under an excitation power density as low as 25[Formula: see text]mW[Formula: see text]cm2. Vivid visualizations of capillaries and vessels in a mouse brain were also obtained with low background and high contrast. Because of cheaper instruments and safer power density, the NIR two-photon luminescence of NaYF4:Yb[Formula: see text]Tm@NaYF4 upconversion NPs could promote wider application of two-photon technology. The modified multilayer coating method could be widely used for upconversion NPs to increase the stable time of the in vivo circulation. Our work possesses a great potential for deep imaging and imaging-guided treatment in the future.
Methane in the lunar exosphere: Implications for solar wind carbon escape

A positive identification of methane in the lunar exosphere has been made in data from the neutral mass spectrometer on the Lunar Atmosphere and Dust Environment Explorer (LADEE) spacecraft. Like argon‐40, methane is adsorbed on the lunar surface during nighttime. However, higher activation energies for methane delay its desorption at sunrise by about an hour local time, creating a postsunrise bulge with peak concentration of approximately 400–450 molecules cm−3 at a reference altitude of 12 km, which is just above the highest topographic feature on the Moon. The rate of escape of carbon as methane derived from the LADEE data is estimated to be in the range 1.5–4.5 × 1021 s−1. A lower bound for solar carbon escape derived separately from Apollo sample analyses is 3.4 × 1021 s−1.
3‐D seismic tomography of the lithosphere and its geodynamic implications beneath the northeast India region

We have evolved 3‐D seismic velocity structures in northeast India region and its adjoining areas to understand the geodynamic processes of Indian lithosphere that gently underthrusts under the Himalayas and steeply subducts below the Indo‐Burma Ranges. The region is tectonically buttressed between the Himalayan arc to the north and the Indo‐Burmese arc to the east. The tomographic image shows heterogeneous structure of lithosphere depicting different tectonic blocks. Though our results are limited to shallower depth (0–90 km), it matches well with the deeper continuation of lithospheric structure obtained in an earlier study. We observe low‐velocity structure all along the Eastern Himalayas down to ~70 km depth, which may be attributed to deeper roots/thicker crust developed by underthrusting of Indian plate. Parallel to this low‐velocity zone lies a high‐velocity zone in foredeep region, represents the Indian lithosphere. The underthrusting Indian lithosphere under the Himalayas as well as below the Indo‐Burma Ranges is well reflected as a high‐velocity dipping structure. The buckled up part of bending Indian plate in study region, the Shillong Plateau‐Mikir Hills tectonic block, is marked as a high‐velocity structure at shallower depth. The Eastern Himalayan Syntaxis, tectonic block where the two arcs meet, is identified as a high‐velocity structure. The Bengal Basin, tectonic block to the south of Shillong Plateau, shows low velocity due to its thicker sediments. Based on the tomographic image, a schematic model is presented to elucidate the structure and geodynamics of Indian lithosphere in study region.
A genomic and bioinformatic-based approach to identify genetic variants for liver cancer across multiple continents

Liver cancer is the fourth leading cause of death worldwide. Well-known risk factors include hepatitis B virus and hepatitis C virus, along with exposure to aflatoxins, excessive alcohol consumption, obesity, and type 2 diabetes. Genomic variants play a crucial role in mediating the associations between these risk factors and liver cancer. However, the specific variants involved in this process remain under-explored. This study utilized a bioinformatics approach to identify genetic variants associated with liver cancer from various continents. Single-nucleotide polymorphisms associated with liver cancer were retrieved from the genome-wide association studies catalog. Prioritization was then performed using functional annotation with HaploReg v4.1 and the Ensembl database. The prevalence and allele frequencies of each variant were evaluated using Pearson correlation coefficients. Two variants, rs2294915 and rs2896019, encoded by the PNPLA3 gene, were found to be highly expressed in the liver tissue, as well as in the skin, cell-cultured fibroblasts, and adipose-subcutaneous tissue, all of which contribute to the risk of liver cancer. We further found that these two SNPs (rs2294915 and rs2896019) were positively correlated with the prevalence rate. Positive associations with the prevalence rate were more frequent in East Asian and African populations. We highlight the utility of this population-specific PNPLA3 genetic variant for genetic association studies and for the early prognosis and treatment of liver cancer. This study highlights the potential of integrating genomic databases with bioinformatic analysis to identify genetic variations involved in the pathogenesis of liver cancer. The genetic variants investigated in this study are likely to predispose to liver cancer and could affect its progression and aggressiveness. We recommend future research prioritizing the validation of these variations in clinical settings.
Nitrogen forms and decomposition of organic carbon in the southern Bohai Sea core sediments

Study on form characteristics of nitrogen in marine sediments is the primary method to research its biogeochemical cycling and nitrogen form characteristics in core sediments can reflect the process and results of early diagenesis in a certain degree. In this paper, Sequential extraction process in natural grain size was used for studying the existent forms of nitrogen in five core sediments of the southern Bohai Sea for the first time. Nitrogen was divided into two parts - transferable and fixed based on whether it could be extracted by the reagent. Distributions and early diagenesis of transferable nitrogen forms in the southern Bohai Sea were researched integratedly. Results indicate that IEF- N and OSF-N are predominant forms in transferable part in the studied core sediments. Contents of different nitrogen forms vary differently with depth, and have different diagenesis process. Decomposition constant of organic nitrogen (ON) and OC are about 15.51 × 10 -3 a -1 and 4. 79 × 10 -3 a -1 respectively, and the decomposition content of biogenic elements C, N, P, Si has the sequence N>P>C>Si. OC/TN (simplified as C/N in the following) ratio is much lower than OC/ON, which indicates that sediment preserves plenty of inorganic nitrogen (IN) and/or fixed nitrogen, and the decrease of OC/ON ratio with depth is due to ON reservation in sediments. Generally, transferable nitrogen accounts for more proportion of TN in the surface layer than in the deep layer of core sediments, whereas, some stable forms of nitrogen can activate and become transferable under appropriate environment, which induces the proportion of transferable nitrogen in TN in the deep layer to be almost the same as that in the surface layer.
Pairwise Learning with Adaptive Online Gradient Descent ∗

In this paper, we propose an adaptive online gradient descent method with momentum for pairwise learning, in which the step size is determined by historical information. Due to the structure of pairwise learning, the sample pairs are dependent on the parameters, causing difficulties in the convergence analysis. To this end, we develop novel techniques for the convergence analysis of the proposed algorithm. We show that the proposed algorithm can output the desired solution in strongly convex, convex, and nonconvex cases. Furthermore, we present theoretical explanations for why our proposed algorithm can accelerate previous workhorses for online pairwise learning. All assumptions used in the theoretical analysis are mild and common, making our results applicable to various pairwise learning problems. To demonstrate the efficiency of our algorithm, we compare the proposed adaptive method with the non-adaptive counterpart on the benchmark online AUC maximization problem.
A CNN-Based Super-Resolution Processor With Short-Term Caching for Real-Time UHD Upscaling

Super-resolution (SR) tasks, involving the restoration of low-resolution images to high-resolution images, are expected to handle larger images in the near future. This paper proposes the short-term caching (STC) layer fusion to address the increase in cache memory size for image size expansion. The proposed STC layer fusion requires only 0.2% of the memory size compared to the previous method by discarding the overlap data that must be maintained for a long time and recalculating the discarded data later. In addition, the selective-operated dual accumulator (SODA) is proposed to apply a vertically long output patch that minimizes the additional recalculation of the STC layer fusion with resolving the memory access problem. Thus, the number of processing elements and memory bandwidth are reduced by 33.6% and 35.6%, respectively. The proposed SR processor including the proposed STC layer fusion and SODA is fabricated on a 28nm CMOS process, and the die and core area occupy 12.96mm2 and 3.45mm2, respectively. The SR task achieves $\times 2$ upscaling to UHD images at 60 fps, achieving a maximum SR throughput of 497.7 Mpixels/s. Compared to previous approaches, the proposed SR processor reduces the on-chip memory size by more than 95% and achieves 4.3 times the SR throughput.
Miniature Ultrasonic Spatial Localization Module in the Lightweight Interactive

The advancement of spatial interaction technology has greatly enriched the domain of consumer electronics. Traditional solutions based on optical technologies suffers high power consumption and significant costs, making them less ideal in lightweight implementations. In contrast, ultrasonic solutions stand out due to their lower power consumption and cost-effectiveness, capturing widespread attention and interest. This paper addresses the challenges associated with the application of ultrasound sensors in spatial localization. Traditional ultrasound systems are hindered by blind spots, large physical dimensions, and constrained measurement ranges, limiting their practical applicability. To overcome these limitations, this paper proposes a miniature ultrasonic spatial localization module employing piezoelectric micromechanical ultrasonic transducers (PMUTs). The module is comprised of three devices each with dimension of 1.2 mm × 1.2 mm × 0.5 mm, operating at a frequency of around 180 kHz. This configuration facilitates a comprehensive distance detection range of 0–800 mm within 80° directivity, devoid of blind spot. The error rate and failure range of measurement as well as their relationship with the SNR (signal-to-noise ratio) are also thoroughly investigated. This work heralds a significant enhancement in hand spatial localization capabilities, propelling advancements in acoustic sensor applications of the meta-universe.
Comparison of the Discrimination Performance of AI Scoring and the Brixia Score in Predicting COVID-19 Severity on Chest X-Ray Imaging: Diagnostic Accuracy Study

Background The artificial intelligence (AI) analysis of chest x-rays can increase the precision of binary COVID-19 diagnosis. However, it is unknown if AI-based chest x-rays can predict who will develop severe COVID-19, especially in low- and middle-income countries. Objective The study aims to compare the performance of human radiologist Brixia scores versus 2 AI scoring systems in predicting the severity of COVID-19 pneumonia. Methods We performed a cross-sectional study of 300 patients suspected with and with confirmed COVID-19 infection in Jakarta, Indonesia. A total of 2 AI scores were generated using CAD4COVID x-ray software. Results The AI probability score had slightly lower discrimination (area under the curve [AUC] 0.787, 95% CI 0.722-0.852). The AI score for the affected lung area (AUC 0.857, 95% CI 0.809-0.905) was almost as good as the human Brixia score (AUC 0.863, 95% CI 0.818-0.908). Conclusions The AI score for the affected lung area and the human radiologist Brixia score had similar and good discrimination performance in predicting COVID-19 severity. Our study demonstrated that using AI-based diagnostic tools is possible, even in low-resource settings. However, before it is widely adopted in daily practice, more studies with a larger scale and that are prospective in nature are needed to confirm our findings.
Assessing the Antioxidant Properties, In Vitro Cytotoxicity and Antitumoral Effects of Polyphenol-Rich Perilla leaves Extracts

(1) Background: This study aimed to outline the antioxidant, antitumoral, and cytotoxic proprieties of various types of Perilla frutescens extracts obtained from the leaves of the species. (2) Methods: We determined total polyphenols, flavonoids and anthocyanins contents, as well as the in vitro antioxidant, antitumoral, and cytotoxic actions in three types of ethanolic extracts (E1, E2, E3) and in three types of acetone: ethanol extracts (A1, A2, A3) of Perilla frutescens according to standardized procedures. (3) Results: We found that Perilla frutescens ethanolic extracts had the highest total phenol and anthocyanins concentrations. The flavonoids concentration was not statistically different between the extracts. The iron chelating capacity, hydroxyl radical scavenging capacity, superoxide anion radical scavenging capacity, and lipoxygenase inhibition capacity showed a significant increase with higher concentrations of Perilla frutescens extracts, particularly the ethanolic extracts. Perillyl alcohol had greater cytotoxic capacity in the MG-63 cell line and E1 extract showed similar significant cytotoxic effects in the A431 cell line. (4) Conclusions: Both ethanolic and acetone–ethanol extracts from Perilla frutescens exhibited important antioxidant and antitumoral actions in vitro, which proportionally increased with concentration. The cytotoxic threshold determined in this study for various types of extracts could help determine the best dosage with the maximum antioxidant and antitumoral potential. Our results could serve as a basis for further studies that will investigate the cytotoxic effects of Perilla frutescens variants on various types of cancer cell lines.
Hybridation naturelle entre perdrix bartavelle (Alectoris graeca saxatilis) et perdrix rouge (Alectoris rufa rufa) dans les Alpes-Maritimes

Les hybrides sont decrits a partir d'un protocole base sur 10 criteres d'identification; ils presentent une grande variabilite morphologique d'un individu a l'autre; des preuves indirectes de leur fertilite eventuelle sont rapportees; il existerait une «zone de chevauchement et d'hybridation» impliquant que A. r. et A. g. soient considerees comme des semi-especes
Stigma-Generating Mechanisms in Families Enrolled in a Pediatric Weight Management Program: A Qualitative Study of Health Identities and Healthcare Authenticity

In recent years, there has been increased awareness of obesity as a condition that carries a high level of stigma, as well as growing recognition of its prevalence and harm. Despite the increasing body of research on this topic, there is a gap in the literature regarding mechanisms that generate or exacerbate perceptions of weight stigma, especially within families and pediatric healthcare settings. The present study aims to identify potential stigma-generating mechanisms by focusing on inter-relational dynamics within these contexts. We conducted in-depth, semi-structured interviews with 11 families and analyzed the data by applying sociological theories on health identities and authenticity. Our study found four themes that represent potential stigma-generating mechanisms by being explicitly related to familial health identities and healthcare authenticity: (1) negotiating and reconstruction familial self-understanding, (2) between guilt, shame and conflicts, (3) navigating weight perceptions, and (4) the necessity of positivity and relevance. Our study shows the complexities of weight stigma within family and pediatric healthcare settings, emphasizing the need for sensitive and tailored support, as well as the value of working authentically as crucial aspects in preventing and/or reducing stigma.
A simple regionalization approach as an alternative to obtain rainfall data in a tropical and ungauged catchment

The availability of rainfall information with high spatial resolution is of fundamental importance in many applications in the field of water resources. Commonly, the rainfall data in developing countries are obtained by rain gauge stations. However, many studies show that traditional measures based on rain gauge stations may not reflect the spatial variation of rainfall effectively. Although satellite data have been widely used around the world, when applied to local regions the spatial resolution of these products is too coarse. In this paper, an approach to identify a downscaling method through geostatistical regionalization to improve water resources models with short spatial and temporal scales and with limited rainfall data is presented. Three different models were applied: Cokriging, Inverse Distance Weight (IDW) and Kriging. Statistical parameters such as mean absolute error (MAE) and root mean square error (RMSE) were computed. A cross-validation process showed a better fit for most of the stations using the Cokriging method. The regionalization results were quite comparable with the rain gauge stations data. Although the model outcomes did not improve remarkably, the contribution of this approach may have the potential to provide useful rainfall data at spatial scales shorter than the present resolution.
Examining the maldistribution in teacher quality: A spatial analysis of the distribution of credentialed educators in California schools

Teacher quality is a primary factor influencing student achievement, which subsequently affects future earnings. Studies show that quality teachers are not distributed equally across the U.S., resulting in a maldistribution of quality teachers that disfavors minority groups. However, despite analyzing an outcome that involves distribution across geographical space, these studies do not employ the spatial econometric techniques needed to ensure accurate results. Exploratory Spatial Data Analysis (ESDA) and spatial regression analysis are used to test for spatial autocorrelation in the distribution of credentialed teachers throughout California’s unified school districts. Those results are compared with a non-spatial regression analysis to uncover the implications of eschewing spatial modeling on these types of data. Spatial econometrics reveal that credentialed teachers are not distributed equally—non-random clustering of teachers exists—to the disadvantage of areas with higher populations of traditionally disadvantaged minorities. However, non-spatial techniques overestimate the significance of race and fail to uncover the significance of other important variables affecting the distribution of teacher quality: the distribution of neighboring districts and pre-established student achievement. This reaffirms claims that utilizing non-spatial techniques on spatial data can lead to bias and incorrect estimates.