Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular and Clinical Characteristics of Different Toxicity Rates in Anti-CD19 Chimeric Antigen Receptor T Cells: Real-World Experience

Simple Summary Our real-world experience confirmed that commercial CART therapy can be administered with minimal toxicity. The early referral of patients with low tumor burdens is important as CAR T indications continue to expand. Furthermore, close monitoring and the early recognition of side effects are beneficial to preventing major toxicities and may potentially expand the use of CAR T therapy. Abstract Commercially available anti-CD19 chimeric antigen receptor T cells (CARΤ cells) have offered long-term survival to a constantly expanding patient population. Given that novel toxicities including cytokine release syndrome (CRS) and neurotoxicity (ICANS) have been observed, we aimed to document the safety and toxicity of this treatment in a real-world study. We enrolled 31 adult patients referred to our center for CAR T therapy. Tisagenlecleucel was infused in 12 patients, axicabtagene ciloleucel in 14, and brexucabtagene autoleucel in 5. Cytokine release syndrome was noted in 26 patients while neurotoxicity was observed in 7. Tocilizumab was administered for CRS in 18 patients, along with short-term, low-dose steroid administration in one patient who developed grade III CRS and, subsequently, grade I ICANS. High-dose steroids, along with anakinra and siltuximab, were administered in only two MCL patients. With a median follow-up time of 13.4 months, nine patients were then in CR. The progression-free (PFS) and overall survival (OS) rates were 41.2% and 88.1% at one year, respectively. MCL diagnosis, which coincides with the administration of brexucabtagene autoleucel, was the only factor to be independently associated with poor OS (p < 0.001); meanwhile, increased LDH independently predicted PFS (p = 0.027). In addition, CRP at day 14 was associated with a poor OS (p = 0.001). Therefore, our real-world experience confirmed that commercial CAR T therapy can be administered with minimal toxicity.
Inte bara träd : hållbart mångbruk av skogslandskapet

Skogslandskapen - hur skall vi vardera dem? Ska de betraktas som rekreationsomraden och kulturlandskap eller som arena for konflikter och dragkamp om olika resurser? Ar skogsregionerna narande elle .
Integration of Emerging Technologies in Teaching And Learning Process in Nigeria: the challenges

The evolution of Emerging Technologies (ETs) is changing all facets of educational process ranging from; the nature of classrooms, quality of content, methodologies, mode of students’ engagement, and evaluation. The integration of emerging technologies in teaching and learning process increase the interest of learners, and the quality of outcome in educational process. It brings about innovations, creativity, and flexibility to learning, thereby equipping both the educators and the learners with necessary problem solving and survival skills in a digital world. However, despite the enormous benefits of emerging technologies, its integration in teaching and learning process is often hampered by number of factors which directly or indirectly affects the integration process. The study examines the various challenges that obstruct the integration of emerging technologies in teaching and learning process in Nigeria. Data were collected through structured questionnaires, in addition to secondary data generated for review of literature. A total of two hundred (200) questionnaires were administered to respondents that consist of educators and students selected from both public and private secondary schools and tertiary institutions with similar level of infrastructures in Southwestern Nigeria. The collected data were later analyzed using descriptive statistics. The results show that majority of the respondents agrees that the integration of emerging technologies in teaching and learning process brings inspiration and modernization to education, enhance inclusiveness, and promotes the achievement of teaching and learning objectives. In addition, the findings proved that the integration of ETs in teaching learning process are often constrained by number of challenges which includes: epileptic power supply, insufficient skills, availability and accessibility issues, funding, inadequate professional development, and poor internet connectivity. The study concluded that educators at all levels of education should continue to update their knowledge and skills on how best to integrate emerging technologies in the teaching and learning process. ©
Circumventing the pole problem of reduced lat–lon grids with local schemes. Part I: Analysis and model formulation

This paper describes a possible strategy for numerically integrating global meteorological equations cast in spherical coordinates with local/scalable algorithms on a reduced latitude–longitude grid. This approach is designed to address a major obstacle known as the “pole problem” in the literature. The nature of the problem is carefully examined in order to determine the conditions for its appearance (or disappearance). A class of discretization schemes avoiding the problem while being based on local algorithms of various accuracy orders is then proposed for non‐staggered grids. A numerical model for solving shallow‐water equations on the sphere with these discrete schemes (GRASS) has been developed and its ability to circumvent the pole problem is demonstrated through basic validations. Further validations on standard test‐cases are presented in Part II.
Digital Technology and Green Development in Manufacturing: Evidence from China and 20 Other Asian Countries

The global interest in environmental protection and sustainable development has grown steadily in recent years, sparking widespread concern about green development in the manufacturing industry among governments, enterprises, and scholars around the world. Despite this heightened interest, research on the influence of the digital economy on the manufacturing industry’s green development remains scarce. This article analyzes the impact of the digital economy on the green development of the manufacturing industry and examines the role of human capital and trade competitiveness in this context. Using a two-way fixed-effects model of panel data analysis, we investigated the GTFP (Green Total Factor Productivity) of the Chinese manufacturing industry, as well as that of the overall industry and 20 other Asian countries along the “Belt and Road”. Our findings indicate a positive association between the digital economy and both the overall GTFP and the manufacturing GTFP in China. The countries situated along the Belt and Road experience a U-shaped trend in their GTFP due to the impact of the digital economy. The digital economy displays a delayed impact, and its eco-friendly value is realized, to different extents, after two sequential periods. In addition, human capital and trade competitiveness are threshold variables in the relationship between the digital economy and the green development of the manufacturing industry. When human capital exceeds a certain threshold and trade competitiveness exceeds a certain threshold, the digital economy has a positive effect on GTFP. This study offers unique insights into the impact of the digital economy on the green development of the manufacturing industry. By addressing this research gap, this study gives policymakers the ability to leverage these findings to promote sustainable practices across the industry. Ultimately, the valuable insights provided by this study may contribute to the ongoing efforts to advance the green development of the manufacturing industry.
Low-Density EEG Correction With Multivariate Decomposition and Subspace Reconstruction

A hybrid method is proposed for removing artifacts from electroencephalographic (EEG) signals. This relies on the integration of artifact subspace reconstruction (ASR) with multivariate empirical mode decomposition (EMD). The method can be applied when few EEG sensors are available, a condition in which existing techniques are not effective, and it was tested with two public datasets: 1) semisynthetic data and 2) experimental data with artifacts. One to four EEG sensors were taken into account, and the proposal was compared to both ASR and multivariate EMD (MEMD) alone. The proposed method efficiently removed muscular, ocular, or eye-blink artifacts on both semisynthetic and experimental data. Unexpectedly, the ASR alone also showed compatible performance on semisynthetic data. However, ASR did not work properly when experimental data were considered. Finally, MEMD was found less effective than both ASR and MEMD-ASR.
Distributed Transmit Beamforming Over Rician Fading: Design and Analysis of Nonuniform Codebook for Feedback Quantization

Distributed transmit beamforming (DTB) enhances the transmit diversity and energy efficiency in wireless sensor networks. To implement DTB, one key issue is that the fusion center should feed back each sensor the estimated channel phase information (CPI), based on which each sensor can accordingly preprocess the transmit signal phase to coordinate in transmitting a common message to the fusion center. Because of feedback overhead and link rate constraint, codebook-based quantization methods are usually exploited to provide such CPI. However, how to effectively construct the optimal codebook over the general Rician fading channel model is not well understood in the current literature, not to mention its related performance analysis. Motivated by this research gap, in this article, 1) we first develop a low-complexity iterative algorithm to construct the optimal codebook; 2) we then reveal that in the designed codebook, the codewords are not uniformly distributed. More specifically, as the absolute value of the codeword increases, the distance between adjacent codewords increases gradually; 3) based on 1) and 2), we further derive the exact probability density function (PDF) of the residual phase error resulting from feedback quantization; 4) finally, we exploit this PDF and also the Laguerre series approximation to characterize, in closed form, the very tight approximation for the receiving signal-to-noise ratio distribution at the fusion center, which is then exploited for performance analysis of outage probability, diversity order, and ergodic capacity. Numerical results show that our designed codebook can achieve higher performance gains compared with the widely used equidistance phase-shift-keying-based codebook.
Diversity and Genetic structure of the Spanish collection of durum wheat (Triticum turgidum L) landraces

The objectives of this study were to assess diversity and genetic structure of a collection of Spanish durum wheat (Triticum turgidum L) landraces, using SSRs, DArTs and gliadin-markers, and to correlate the distribution of diversity with geographic and climatic features, as well as agro-morphological traits. A high level of diversity was detected in the genotypes analyzed, which were separated into nine populations with a moderate to great genetic divergence among them. The three subspecies taxa, dicoccon, turgidum and durum, present in the collection, largely determined the clustering of the populations. Genotype variation was lower in dicoccon (one major population) and turgidum (two major populations) than in durum (five major populations). Genetic differentiation by the agro-ecological zone of origin was greater in dicoccon and turgidum than in durum. DArT markers revealed two geographic substructures, east-west for dicoccon and northeast-southwest for turgidum. The ssp. durum had a more complex structure, consisting of seven populations with high intra-population variation. DArT markers allowed the detection of subgroups within some populations, with agro-morphological and gliadin differences, and distinct agro-ecological zones of origin. Two different phylogenetic groups were detected; revealing that some durum populations were more related to ssp. turgidum from northern Spain, while others seem to be more related to durum wheats from North Africa
A Poisson sample of a smooth surface is a good sample

The complexity of the Delaunay triangulation of $n$ points distributed on a surface ranges from linear to quadratic. When the points are a deterministic good sample of a smooth compact generic surface, the size of the Delaunay triangulation is $O(n\log n)$ [Attali et al.]. Using this result, we prove that when points are Poisson distributed on a surface under the same hypothesis, with intensity $\lambda$, the expected size is $O(\lambda \log^2 \lambda)$.
Perceptions toward achieving work-life balance and job satisfaction in online teaching

Online teaching has been implemented in the Philippines as a consequence of the critical global crisis that started in early 2020. Many higher education institutions still conduct online classes. However, research studies on employer’s support, workspace, and attitudes of students in relation to work-life balance and job satisfaction of teachers teaching online have been rarely explored, creating a gap in this area. Thus, the major objective of this study is to examine the perceived effects of employer’s support, workspace, and attitudes as teachers pursue work-life balance and job satisfaction in their online teaching job. A total of 256 responses extracted via the Google form link were analyzed with the aid of Smart PLS. Seven of the eight hypotheses tested were supported where p< 0.025, while one was not supported where p > 0.05. The findings revealed that work-life balance is positively influenced by workspace but not students’ attitudes; job satisfaction may be affected by workspace but not work-life balance and full support from an employer; and teaching online is positively affected by workspace and employer’s support but not students’ attitudes. In conclusion, teachers who teach online experience challenges but still manage to attain work-life balance and satisfaction from their job. For students who exhibit negative attitudes, this implies that teachers need to talk with them and find out their reasons for doing so. Making their lessons more interesting could minimize such problem. It is highly recommended that future researchers consider adding varied statistical tools, wider sampling of schools for their participants, and more teachers from community colleges and degree programs of higher education institutions. In order to validate the findings shown in the study, a replication may also be performed in a different region in the country.
Landscape and ecological modelling : development of a plant community prediction tool for Estonian coastal wetlands

Estonian coastal wetlands are of international importance as they support characteristic biological diversity. Their limited extent and distribution mean that these wetlands are of high conservation concern, and as such have been identified as a priority in the European Union Habitats Directive. These wetlands are typified by a flat, extensive landscape, situated between the micro-tidal (<0.02m), brackish Baltic Sea and a forest interior. Due to the low relief these wetlands may be under threat from sea level rise.
Evidence of a changing size–frequency distribution of landslides in the Kyrgyz Tien Shan, Central Asia

There is a strong possibility that environmental change (whether climate or land use) will be manifest as changes in the size–frequency distribution of landslides. Here, evidence is presented for this from western Kyrgyzstan, Central Asia. Remote sensing and spatial analysis have been applied to map mass movements in the central part of the Maily‐Say Valley and to detect recent landslide activations. The evolution of landslide activity over the past 50 years has been analysed on the basis of pre‐existing landslide maps and new analyses of aerial photographs as well as Quickbird images. Five inventories were produced for the years 1962 (based on the existing map of 1962 and aerial photographs of 1962), 1984 (based on the existing map of 1977 and aerial photographs of 1984), 1996 (based on aerial photographs of 1996), 2002 (based on the existing map of 2003 and Quickbird imagery of 2002) and 2007 (based on Quickbird imagery of 2007). The geomorphologic features contained in the catalogues represent the landslide bodies observed from remote imagery of the corresponding year. Mapped landslides are generally considered as the result of a series of slope failure events. Size–frequency analyses applied to the five landslide inventories show that both the number and size of unstable slopes increased from 1962 (162 objects) to 2007 (208 objects) and the power‐law exponent decreased over time. This changing power‐law exponent may indicate that landslide‐related hazards are increasing. This tendency is documented in more detail for two active landslide zones, one in the main valley and one located to the west of it. Landslide detection methods were used to assist the evolution of slope instabilities. Choosing appropriate thresholds, the image subtraction method based on normalized difference vegetation index (NDVI) allowed accurate detection of new sliding activation in these two zones. This confirmed the results of the more extensive survey that there is a systematic shift in power law exponents and size–frequency distributions for Central Asian landslides. Copyright © 2011 John Wiley & Sons, Ltd.
Utilization of DInSAR for reconstructing 3D coastal geomorphology from radarsat fine mode data

differentioal sysnthetic aperature radar interferometry (DInSAR). Fuzzy B-spline is used to accelerate and improve the accuracy of 3D map from DInSAR. DInSAR algorithm is involved two parts: 3D map simulation and interferogram simulation with DEM and satellite orbit parameters. 3D coastal geomorphology reconstruction is realized by fuzzy B-spline algorithm with the midpoint displacement method and the terrain roughness and average slope are determined by two describing parameters of the model. Furthermore, fuzzy B-spline was used to eliminate topographic phase from the interferograms. 3 RADARSAT-1 data sets of fine beam mode (F4) had been obtained between November 1999 and March 2003, and 3 coherent interferograms were generated from them. The real 3D coastal geomorphology elevation have been collected along the shoreline of Kuala Terengganu Malaysia. The study shows the DInSAR provides information about coastal geomorphology change with accuracy of Â± 0.2 m. It can be concluded that the integration between DInSAR and fuzzy B-spline can provide accurate map of 3D coastal geomorphology construction from historical RADARSAT-1 SAR fine mode data.
Assessing fungal endophyte diversity: a comparative study of three automated metabarcoding pipelines

High-throughput sequencing approaches have become frequent in the study of endophyte communities allowing the cumulative description of fungal diversity in the last decade. However, they brought new challenges to researchers in terms of programming and developing of informatics tools. Currently, there is no consensus concerning the appropriate bioinformatics to process such sequence data. The aim of this study was to compare the performance of three pipelines of two cost-free toolkits designed to be friendly to non-programmer users, and specifically developed for fungal data: AMPtk and PIPITS. The sapwood-inhabiting fungal assemblages of two Nothofagus species from the Patagonian Forests were assessed through metabarcoding of the internal transcribed spacer (ITS) and compared with an extant sequence dataset obtained from culture prospection in the same study sites and trees. The AMPtk toolkit has performed better concerning community description in terms of precision of taxa clustering, mainly due to the DADA2 algorithm; PIPITS evidenced a higher sensitivity in detecting taxa known to be present, hence it is potentially useful for future specific taxa detection surveys. Because of a current lack of information of the reference databases, both bioinformatic toolkits performed poorly as to taxonomy assignment. It is imperative to continue studying these ecosystems to, concomitantly, improve databases and the explanatory potential of the new technologies.
Molecular Interactions of Zinc Finger Protein Kaiso with Hemimethylated DNA

DNA methylation is an epigenetic modification that is involved in various essential cellular processes. Methyl CpG binding proteins (MBPs), such as zinc finger protein Kaiso, bind with methylated DNA and mediate to translate methylation signal into the transcription process. To have mechanistic understanding of how these proteins recognize and interpret the DNA methylation signal is important because of their critical role in regulation of gene expression in both normal and diseased cells. In this study, we performed molecular dynamics (MD) simulation to investigate the recognition and binding of hemimethylated (methylation in one strand of double stranded DNA) sequences by Kaiso to assess the role of methylation in each strand. We investigated the major interactions involved in the complex formation as well as the contact area and binding free energy of the Kaiso-DNA complexes. Our results show that the number and strength of hydrogen bonds as well as other non-bonded interactions are greater in Kaiso-DNA complex with methylated CpG sites in non-coding strand. Similarly, the contact area at the Kaiso-DNA interface and binding free energy of Kaiso is also higher in hemimethylated sequence having methylation in non-coding strand. Therefore, methylated CpG sites in non-coding strand play important role in the binding of Kaiso with methylated DNA sequences.
Sky Radio Quiet Zones for Mitigating RFI From Large-Scale NGSO Satellites to Ground Radio Astronomy System

Emerging large-scale non-geostationary orbit (NGSO) satellite communication (SatCom) systems with more than thousands of satellites raise a serious concern of radio frequency interference (RFI) to the ground-based radio astronomy system (RAS). This situation becomes more serious as the SatCom industry is rapidly expanding the number of communication satellites which increases RFI, while the RAS is also advancing with enhanced radio astronomical observation (RAO) capability requiring better protection against RFI. To address this impending RFI issue, we analyze the corresponding RFI to identify dominant RFI contributors and then propose two types of sky radio quiet zone (SRQZ), namely, telescope-centered (TC)-SRQZ and RAO direction-centered (DC)-SRQZ. We investigate peak RFI and average RFI suppression characteristics of the two SRQZ types when applied individually alone and jointly. We evaluate the RFI characteristics with/without SRQZs for a few representative ground RAS receiver locations under a low earth orbit SatCom system as well as a medium earth orbit SatCom system. We present and discuss extensive RFI performance results and their dependency on the specifics of the RFI scenarios. These results show that appropriately designed SRQZs provide significant RFI suppression. We also offer guidance on the choice of SRQZ type/deployment, related parameter settings, and practical implementation aspects.