Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimation of Interior Density Distribution for Small Bodies: The Case of Asteroid Itokawa

A constraint of rubble-pile interior is an essential issue for better understanding of its formation scenario such as catastrophic disruption and reconﬁguration. A goal of this study is to demonstrate a method to constrain unknown density distribution within a small solar system body. We calculated the gravity ﬁeld on the surface of asteroid 25143 Itokawa using a 3D shape model. We assumed density inhomogeneity between two lobes of Itokawa; “Head" and “Body" of the sea-otter-like shape. Then, we estimated interior density distribution of Itokawa as an index of the gravity potential variance (and surface slope average). This study implied that the Head of Itokawa had a more monolithic structure of signiﬁcantly higher density than the remaining Body part. The density of the Head was evaluated as ∼ 2 , 750kg / m 3 , which is much higher than the Itokawa’s mean density of 1 , 950kg / m 3 . Such a dramatic density anomaly corresponds to a great o ﬀ set between the center-of-mass (COM) and the center-of-ﬁgure (COF) by ∼ 16m. This result implies interior density inhomogeneity within a rubble-pile asteroid.
Evapotranspiração Instantânea e sua relação com temperatura de superfície, índice de vegetação e tipos de cobertura da terra na Bacia Hidrográfica dos Rios Vacacaí-Vacacaí Mirim – Pampa Brasileiro

A evapotranspiração (ET) é uma das principais componentes do ciclo hidrológico. Diante disto, a presente pesquisa tem como principal objetivo analisar a Evapotranspiração Instantânea estimada a partir de dados de Sensoriamento Remoto e sua correlação com a Temperatura da Superfície e Índice de Vegetação por Diferença Normalizada da Bacia Hidrográfica dos Rios Vacacai-Vacacai Mirim, localizada no Bioma Pampa. A metodologia utilizada envolveu o uso do algoritmo Surface Energy Balance Algorithms for Land (SEBAL) para estimativa de ETi, com imagens do satélite Landsat 8 OLI/TIRS, para inverno (28/08/2013 e 30/07/2020) e verão (19/01/2014 e 08/03/2020) e dados meteorológicos. Os resultados obtidos permitiram uma análise espacial e temporal das variáveis supracitadas e a influência destas em diferentes tipos de cobertura no solo. Foi verificada a correlação negativa de grau forte entre as variáveis TS e ETi, correlação positiva de grau regular para NDVI e ETi para quatro imagens analisadas. Além disso, constataram-se variações significativas em um período de mudança de cobertura do solo entre áreas de pousio e cultivo agrícola. As técnicas de sensoriamento remoto viabilizaram a identificação das alterações e o comportamento das variáveis em diferentes coberturas do solo, apontando para o impacto das alterações destas variáveis em ambientes antropizados.
Integration of a flexible tensile material in a second skin façade system: a passive method to enhance the energy performances of the Italian building scenario

Tensile materials are increasingly used in the building envelope as second-skin systems, despite a lack of investigation on their effects. In this work, a tensile material model has been validated through experimental data and used for a retrofit strategy. Eighteen simulation cases have been carried out, varying the design and the climatic conditions. The results show a reduction of the cooling energy demand (up to 42.4%), the primary energy (up to 9.12%), the CO 2 equivalent emission (up to 5288.6 kg CO2,eq ). However, the tensile system is more expensive than a typical retrofit action; therefore, it should be supported by supplementary grants.
Activation of STING Based on Its Structural Features

The cGAS-cGAMP-STING pathway is an important innate immune signaling cascade responsible for the sensing of abnormal cytosolic double-stranded DNA (dsDNA), which is a hallmark of infection or cancers. Recently, tremendous progress has been made in the understanding of the STING activation mechanism from various aspects. In this review, the molecular mechanism of activation of STING protein based on its structural features is briefly discussed. The underlying molecular mechanism of STING activation will enable us to develop novel therapeutics to treat STING-associated diseases and understand how STING has evolved to eliminate infection and maintain immune homeostasis in innate immunity.
Diagnostic Accuracy of Various Immunochromatographic Tests for NS1 Antigen and IgM Antibodies Detection in Acute Dengue Virus Infection

Introduction: Rapid diagnostic tests (RDTs) were evaluated, in this paper, for their utility as a reliable test, using resource-constrained studies. In most studies, NS1 antigen and immunoglobulin M (IgM)-based immunochromatographic tests (ICTs) were considered for acute phase detection. We aimed to evaluate the diagnostic accuracy of NS1, IgM, and NS1/IgM-based ICTs to detect acute dengue virus (DENV) infection in dengue-endemic regions. Methods: Studies were electronically identified using the following databases: MEDLINE, Embase, Cochrane Library, Web of Science, and CINAHL Plus. Keywords including dengue, rapid diagnostic test, immunochromatography, sensitivity, specificity, and diagnosis were applied across databases. In total, 15 studies were included. Quality assessment of the included studies was performed using the QUADAS-2 tool. All statistical analyses were conducted using RevMan, MedCalc, and SPSS software. Results: The studies revealed a total of 4135 individuals, originating largely from the Americas and Asia. The prevalence of DENV cases was 53.8%. Pooled sensitivities vs. specificities for NS1 (only), IgM (only) and combined NS1/IgM were 70.97% vs. 94.73%, 40.32% vs. 93.01%, and 78.62% vs. 88.47%, respectively. Diagnostic odds ratio (DOR) of DENV for NS1 ICTs was 43.95 (95% CI: 36.61–52.78), for IgM only ICTs was 8.99 (95% CI: 7.25–11.16), and for NS1/IgM ICTs was 28.22 (95% CI: 24.18–32.95). ELISA ICTs yielded a DOR of 21.36, 95% CI: 17.08–26.741. RT-PCR had a DOR of 40.43, 95% CI: 23.3–71.2. Heterogeneity tests for subgroup analysis by ICT manufacturers for NS1 ICTs revealed an χ2 finding of 158.818 (df = 8), p < 0.001, whereas for IgM ICTs, the χ2 finding was 21.698 (df = 5), p < 0.001. Conclusion: NS1-based ICTs had the highest diagnostic accuracy in acute phases of DENV infection. Certain factors influenced the pooled sensitivity, including ICT manufacturers, nature of the infection, reference method (RT-PCR), and serotypes. Prospective studies may examine the best strategy for incorporating ICTs for dengue diagnosis.
Protein Abundance of Drug Transporters in Human Hepatitis C Livers

Transmembrane drug transport in hepatocytes is one of the major determinants of drug pharmacokinetics. In the present study, ABC transporters (P-gp, MRP1, MRP2, MRP3, MRP4, BCRP, and BSEP) and SLC transporters (MCT1, NTCP, OAT2, OATP1B1, OATP1B3, OATP2B1, OCT1, and OCT3) were quantified for protein abundance (LC-MS/MS) and mRNA levels (qRT-PCR) in hepatitis C virus (HCV)-infected liver samples from the Child–Pugh class A (n = 30), B (n = 21), and C (n = 7) patients. Protein levels of BSEP, MRP3, MCT1, OAT2, OATP1B3, and OCT3 were not significantly affected by HCV infection. P-gp, MRP1, BCRP, and OATP1B3 protein abundances were upregulated, whereas those of MRP2, MRP4, NTCP, OATP2B1, and OCT1 were downregulated in all HCV samples. The observed changes started to be seen in the Child–Pugh class A livers, i.e., upregulation of P-gp and MRP1 and downregulation of MRP2, MRP4, BCRP, and OATP1B3. In the case of NTCP, OATP2B1, and OCT1, a decrease in the protein levels was observed in the class B livers. In the class C livers, no other changes were noted than those in the class A and B patients. The results of the study demonstrate that drug transporter protein abundances are affected by the functional state of the liver in hepatitis C patients.
Evaluasi Penerimaan dan Penggunaan Cyber Extension sebagai Media Informasi oleh Informasi Pertanian

Penelitian ini mengadopsi teori TAM (Technological Acceptance Model), teori untuk mengkaji pemanfaatan Cyber Extension sebagai situs informasi oleh informan penyuluh pertanian. Tujuan untuk menganalisis aspek demografi, akses visibilitas, dan elemen penentu lainnya, serta menguji pengaruh persepsi kegunaan dan persepsi kesederhanaan penggunaan terhadap niat perilaku penyuluh pertanian untuk mengambil dan menggunakan teknologi. Teknik penelitian yang digunakan adalah penelitian deskriptif kuantitatif dengan metode survei, dilakukan dengan wawancara terhadap 76 informan penyuluh pertanian di Dinas Pertanian Kabupaten Minahasa Selatan, Provinsi Sulawesi Utara, antara bulan April sampai Mei 2021. Teknik analisis data menggunakan analisis dan SEM-PLS. Hasil penelitian menemukan bahwa aspek demografi, aspek manfaat yang dirasakan, dan aspek kemudahan penggunaan yang dirasakan semuanya berdampak pada niat perilaku penyuluh pertanian untuk mengambil dan menggunakan Cyber Extension di Kabupaten Minahasa Selatan.
Detection of Recycled ICs Using Backscattering Side-Channel Analysis

This article proposes a new, nondestructive method for detecting recycled integrated circuits (ICs) using the backscattering side-channel analysis (BSCA). In particular, this article explains the impact that aging has on the backscattering side-channel signal and validates the findings through simulations. Then, a new detection algorithm based on singular value decomposition for distinguishing unaged and aged ICs from their backscattered measurements is presented. The proposed method is then validated in a series of experiments. The results show that the proposed method is effective in detecting recycled ICs after being aged for a small fraction of the IC’s lifetime (roughly 66 days). The experiments also demonstrate the impact that circuit size and complexity have on detection accuracy.
Simulation of complex particle suspensions using coupled lattice Boltzmann-discrete element methods

This paper details the development of a computational model which is capable of direct numerical simulation of complex particle suspensions. The components of the model include the lattice Boltzmann method, the discrete element method, non-Newtonian rheology and turbulence modeling, and shared-memory, multicore parallel computations. Computational modeling of complex particle suspensions offers the ability to investigate flow characteristics which cannot be readily captured with experiments. In addition, the development of a validated computational model allows for the comparatively rapid and inexpensive evaluation of novel and or prospective fluid-particle combinations in silico.
Application of Spatial Interpolation to Rainfall Data

Geostatistical data are obtained only at selected sites even though they are potentially available at any location In a continuous surface. Therefore it is necessary to estimate the unknown values at unsampled locations based on observations. In this study we compared the accuracy of 5 spatial interpolation methods: local trend surface, IDW, RBF, ordinary kriging, universal kriging. These interpolation methods were applied to annual rainfall data. As the results of validation tests, universal kriging with gaussian variogram model showed the best accuracy in comparison with other interpolation methods. In the case of kriging, the predicted values were more accurate and within a more narrow range than other methods. In contrast with kriging, local trend surface analysis, IDW and RBF showed the wide range of predicted values and abrupt changes between neighbors.
Subpial delivery of adeno-associated virus 9-synapsin-caveolin-1 (AAV9-SynCav1) preserves motor neuron and neuromuscular junction morphology, motor function, delays disease onset, and extends survival in hSOD1G93A mice

Elevating neuroprotective proteins using adeno-associated virus (AAV)-mediated gene delivery shows great promise in combating devastating neurodegenerative diseases. Amyotrophic lateral sclerosis (ALS) is one such disease resulting from loss of upper and lower motor neurons (MNs) with 90-95% of cases sporadic (SALS) in nature. Due to the unknown etiology of SALS, interventions that afford neuronal protection and preservation are urgently needed. Caveolin-1 (Cav-1), a membrane/lipid rafts (MLRs) scaffolding and neuroprotective protein, and MLR-associated signaling components are decreased in degenerating neurons in postmortem human brains. We previously showed that, when crossing our SynCav1 transgenic mouse (TG) with the mutant human superoxide dismutase 1 (hSOD1G93A) mouse model of ALS, the double transgenic mouse (SynCav1 TG/hSOD1G93A) exhibited better motor function and longer survival. The objective of the current study was to test whether neuron-targeted Cav-1 upregulation in the spinal cord using AAV9-SynCav1 could improve motor function and extend longevity in mutant humanized mouse and rat (hSOD1G93A) models of familial (F)ALS. Methods: Motor function was assessed by voluntary running wheel (RW) in mice and forelimb grip strength (GS) and motor evoked potentials (MEP) in rats. Immunofluorescence (IF) microscopy for choline acetyltransferase (ChAT) was used to assess MN morphology. Neuromuscular junctions (NMJs) were measured by bungarotoxin-a (Btx-a) and synaptophysin IF. Body weight (BW) was measured weekly, and the survival curve was determined by Kaplan-Meier analysis. Results: Following subpial gene delivery to the lumbar spinal cord, male and female hSOD1G93A mice treated with SynCav1 exhibited delayed disease onset, greater running-wheel performance, preserved spinal alpha-motor neuron morphology and NMJ integrity, and 10% increased longevity, independent of affecting expression of the mutant hSOD1G93A protein. Cervical subpial SynCav1 delivery to hSOD1G93A rats preserved forelimb GS and MEPs in the brachial and gastrocnemius muscles. Conclusion: In summary, subpial delivery of SynCav1 protects and preserves spinal motor neurons, and extends longevity in a familial mouse model of ALS without reducing the toxic monogenic component. Furthermore, subpial SynCav1 delivery preserved neuromuscular function in a rat model of FALS. The latter findings strongly indicate the therapeutic applicability of SynCav1 to treat ALS attributed to monogenic (FALS) and potentially in sporadic cases (i.e., SALS).
Bayesian inference for the parameters of mortality rate in the models of dependent lives with application in life insurance

Abstract In this paper, the Bayesian inference of the model of dependent lives is considered. We use the bivariate Gompertz (BGP) distribution. This new bivariate survival model and its extension have recently been proposed by Shoaee and Khorram. This model is more flexible and can be applied in the actuarial science of life insurance, and reliability theory in competing risks and shock models. As we know, the maximum likelihood estimates do not always exist and therefore cannot always be calculated. So, the Bayesian estimations are considered using the squared error loss function and a priori distributions that create a dependency between the hyper-parameters. But given the assumptions, one can see that explicit expressions cannot be obtained for Bayesian estimations. The importance sampling method is proposed to calculate the Bayes estimations and also to create the corresponding HPD credible intervals of the unknown parameters. The Monte Carlo simulation studies and analysis of a real data set are also performed to evaluate the proposed method for estimating parameters. Finally, a generalization of the dependent lives models is presented and the Bayesian estimate for this new bivariate family distribution is introduced and a comparison is made between the models of this new family.
Building performance simulation as a guide to design decision making: an analysis of architecture students’ design process.

Many architects agree that building performance simulation should be embedded in the design process (Alsaadani and Bleil De Souza 2019). This paper analyses architecture students’ design process using building performance simulation to assist in design decision making. First, they analysed potentials regarding bioclimatic strategies with Ladybug. Then they performed thermal simulations with Honeybee to assist the design changes. The students had a simple one-room residential volume with urban context. Each group received a different city, and many groups used adaptive comfort improvement and cooling load decrease as a guide to decision-making. Some of the groups reached near 80% of adaptive by reducing more than 70% of the cooling load in the final building composition.
Disruption of a Conservative Motif in the C-Terminal Loop of the KCNQ1 Channel Causes LQT Syndrome

We identified a single nucleotide variation (SNV) (c.1264A > G) in the KCNQ1 gene in a 5-year-old boy who presented with a prolonged QT interval. His elder brother and mother, but not sister and father, also had this mutation. This missense mutation leads to a p.Lys422Glu (K422E) substitution in the Kv7.1 protein that has never been mentioned before. We inserted this substitution in an expression plasmid containing Kv7.1 cDNA and studied the electrophysiological characteristics of the mutated channel expressed in CHO-K1, using the whole-cell configuration of the patch-clamp technique. Expression of the mutant Kv7.1 channel in both homo- and heterozygous conditions in the presence of auxiliary subunit KCNE1 results in a significant decrease in tail current densities compared to the expression of wild-type (WT) Kv7.1 and KCNE1. This study also indicates that K422E point mutation causes a dominant negative effect. The mutation was not associated with a trafficking defect; the mutant channel protein was confirmed to localize at the cell membrane. This mutation disrupts the poly-Lys strip in the proximal part of the highly conserved cytoplasmic A–B linker of Kv7.1 that was not shown before to be crucial for channel functioning.
Privacy-Preserving Decision Tree Solution in the 2-Part Fully Distributed Setting

Abstract— Data mining has emerged as an important technology for obtaining knowledge from big data. However, there are growing concerns that the use of this technology is infringing on privacy. This work proposes a decision tree mining solution according to the ID3 algorithm that ensures privacy in the 2-Part Fully Distributed setting. Tóm tắt— Khai phá dữ liệu đã nổi lên như một công nghệ quan trọng để thu thập kiến thức từ lượng dữ liệu khổng lồ. Tuy nhiên, ngày càng có nhiều lo ngại rằng việc sử dụng công nghệ này đang vi phạm quyền riêng tư của cá nhân. Bài báo này đề xuất giải pháp khai phá cây quyết định theo thuật toán ID3 có đảm bảo tính riêng tư trong mô hình phân tán đầy đủ hai bên.
STUDENT-CENTRED DESIGN OF LEARNING DASHBOARDS

This paper presents preliminary ideas, process and results related to the design of a learning analytics dashboard for supporting student engagement with learning during a course. Understanding students’ needs is important in designing effective learning analytics dashboards. Thus, the design should follow a user-centred or student-centred approach as understanding the needs of the user represents a significant part of the first stage in a user-centred design approach. Students needs are defined in relation to students’ activities and context of use of the system to be designed. A learning analytics dashboard (LAD) is designed to support students’ learning in a course scenario. Students needs are conceptualized based on literature and collected evidence. Among other things, students need meaningful feedback on their performance in various study tasks and support of progression of studies. These student wishes are discussed in what follows from the perspective of LAD design. The paper proposes a student-centred, theory-driven design framework for eliciting and including the students’ needs in the design. Implications for design and pedagogical practice and research are discussed.
The distribution of a linear combination of 2 random variables

pr(Q<c). (2) The algorithm is based on the method of Davis (1973) involving the numerical inversion of the characteristic function. It will yield results for most linear combinations that are likely to be encountered in practice but is more satisfactory if the sum (1) is not dominated by terms involving a total of less than four degrees of freedom. The accuracy is set by the user, a maximum error of 0-0001 being an appropriate value. Any quadratic form in independent normal variables can be reduced to the form (1) and so this algorithm can be used to calculate the distribution of such a quadratic form. Since the Ai need not all be positive the quadratic form need not be positive definite. In particular, the algorithm can be used to find the distribution of the ratio of two quadratic forms.
Role of Bispecific Antibodies in Relapsed/Refractory Diffuse Large B-Cell Lymphoma in the CART Era

Diffuse large B-cell lymphoma is an aggressive and biologically heterogeneous disease. R-CHOP is the standard first line therapy and cures more than 60% of patients. Salvage high-dose chemotherapy with autologous stem cell transplant remains the standard second-line treatment for relapsed or refractory patients, and recently, three CD19 chimeric antigen receptor T cells (CART) cell products have been approved beyond 2 prior lines of systemic therapy. Nevertheless, some patients are not eligible for transplant or CARTs, or progress after these treatments. In this context, IgG-like bispecific antibodies (BsAbs) have been designed to treat B‐cell lymphomas. They combine two different monospecific antigen‐binding regions that target CD20 on B cells and engage T cells via CD3 in a 1:1 or 2:1 CD20:CD3 antigen binding fragment (Fab) format. The results of different phase 1 trials with BsAbs, including mosunetuzumab, glofitamab, epcoritamab and odeonextamab, have been recently published. They are infused intravenously or subcutaneously, and have a favorable toxicity profile, with reduced cytokine release syndrome and neurological toxicity. Moreover, these BsAbs have demonstrated very promising efficacy in B-cell lymphomas, including in aggressive lymphomas. New trials are currently ongoing to confirm BsAbs efficacy and tolerability, as well as to explore its efficacy in different lines of therapy or in combination with other drugs.
Impact of the Ensemble Kalman Filter Based Coupled Data Assimilation System on Seasonal Prediction of Indian Summer Monsoon Rainfall

The sensitivity of seasonal prediction (June to September) of Indian monsoon to initial state from two variants of coupled data assimilation (CDA) products, viz. the Climate Forecast System (CFS) Reanalysis (CFSR) and Indian Institute of Tropical Meteorology, University of Maryland‐ Weakly Coupled Analysis (IWCA) is explored in this study. The IWCA implements the local ensemble transform Kalman filter, and incorporates theoretically advanced features of flow‐dependency and ensemble‐based analysis compared to CFSR. The CFS version‐2 predictions using IWCA simulate the large‐scale monsoon features, and convection centers well, and improve prediction skills compared to CFSR predictions. The enhanced analysis quality and Ocean‐Atmospheric cross‐domain equilibrium in IWCA reduce initial shocks in springtime predictions. Further, the sustained ensemble consistency aided to simulate the variability better and improved the seasonal predictions. The study strongly advocates the adaptation of advanced CDA methods for seasonal monsoon and probable seamless predictions.