ahmedabdelwahed/Medical_papers_title_and_abstract_NLP_dataset huggingface dataset:
Stability of DRAM-devices with respect to 75 keV helium ion beam irradiation as required for ion projection lithography of critical layers

Ion projection lithography (IPL) is one of the next generation lithography techniques, targeting the 50-nm node and below. During the last year tool, mask and process development have made major advances. A resolution of 50 nm has been achieved locally, 75 nm over a field size of 12.5 x 12.5 mm(2). Compatibility of ion projection lithography with a standard semiconductor process has not been proven so far. Possible device damage is still seen as a critical issue. Therefore experimental investigation of the influence of ion beam irradiation on the functionality of state-of-the-art chips is necessary. We carried out the experiment with a state-of-the-art DRAM product processed at a high volume production site. The experiment demonstrates that 75 keV He+ ion beam exposure with ion doses as used for ion projection lithography would cause no detrimental damage. Thus IPL is suitable for semiconductor device fabrication. (C) 2002 Elsevier Science B.V. All rights reserved.
A multiclass TrAdaBoost transfer learning algorithm for the classification of mobile lidar data

A major challenge in the application of state-of-the-art deep learning methods to the classification of mobile lidar data is the lack of sufficient training samples for different object categories. The transfer learning technique based on pre-trained networks, which is widely used in deep learning for image classification, is not directly applicable to point clouds, because pre-trained networks trained by a large number of samples from multiple sources are not available. To solve this problem, we design a framework incorporating a state-of-the-art deep learning network, i.e. VoxNet, and propose an extended Multiclass TrAdaBoost algorithm, which can be trained with complementary training samples from other source datasets to improve the classification accuracy in the target domain. In this framework, we first train the VoxNet model with the combined dataset and extract the feature vectors from the fully connected layer, and then use these to train the Multiclass TrAdaBoost. Experimental results show that the proposed method achieves both improvement in the overall accuracy and a more balanced performance in each category.
Modular Construction of an MIL-101(Fe)@MIL-100(Fe) Dual-Compartment Nanoreactor and Its Boosted Photocatalytic Activity toward Tetracycline

Iron-based metal-organic frameworks (MOFs) have aroused extensive concern as prospective photocatalysts for antibiotic (e.g., tetracycline, TC) degradation. However, efficiencies of single and simple Fe-based MOFs still undergo restricted light absorption and weak charge separation. Assembly of different iron-based MOF building blocks into a hybrid MOF@MOF heterostructure reactor could be an encouraging strategy for the effective capture of antibiotics from the aqueous phase. This paper reports a new-style MIL-101(Fe)@MIL-100(Fe) photocatalyst, which was groundbreakingly constructed to realize a double win for boosting the performances of adsorption and photocatalysis. The optical response range, surface open sites, and charge separation efficiency of MIL-101(Fe)@MIL-100(Fe) can be regulated through accurate design and alteration. Attributed to the synergistic effects of double iron-based MOFs, MIL-101(Fe)@MIL-100(Fe) exhibits an excellent photocatalytic activity toward TC degradability compared to MIL-101(Fe) and MIL-100(Fe), which is even superior to those reported previously in the literature. Furthermore, the main active species of •O2- and h+ were proved through trapping tests of the photocatalytic process. Additionally, MIL-101(Fe)@MIL-100(Fe) possesses remarkable stability, maintaining more than 90% initial photocatalytic activity after the fifth cycle. In brief, MIL-101(Fe)@MIL-100(Fe) was highly efficient for TC degradation. Our work offers a new strategy for visible-light photodegradation of TC by exploring the double Fe-based MOF composite.
Channel decoupling network for cross-modality person re-identification

Cross-modality person re-identification (CM-ReID) is a very challenging problem due to the discrepancy in data distributions between visible and near-infrared modalities. To obtain a robust sharing feature representation, existing methods mainly focus on image generation or feature constrain to decrease the modality discrepancy, which ignores the large gap between mixed-spectral visible images and single-spectral near-infrared images. In this paper, we address the problem by decoupling the mixed-spectral visible images into three single-spectral subspaces R, G, and B. By aligning the spectrum, we noted that even using a single spectral image instead of the VIS images could result in a better performance. Based on the above observation, we further introduce a clear and effective three-path channel decoupling network (CDNet) for combining the three spectral images. Extensive experiments implemented on the benchmark CM-ReID datasets, SYSU-MM01 and RegDB indicated that our method achieved state-of-the-art performance and outperformed existing approaches by a large margin. On the RegDB dataset, the absolute gain of our method in terms of rank-1 and mAP is well over 15.4% and 8.5%, respectively, compared with the state-of-the-art methods.
Immune-mediated platelet transfusion refractoriness in a severely thrombocytopenic patient with myelodysplastic syndrome successfully treated with romiplostim

Immune-mediated platelet transfusion refractoriness due to anti-human leukocyte antigen (HLA) antibodies can occur in approximately 9% of patients with myelodysplastic syndromes (MDS) and can lead to an increased risk of clinically relevant bleeds and treatment delays. These patients are typically managed with frequent platelet transfusions; however, HLA-matched platelet transfusions are usually available only in large blood centers. For this reason, alloimunized thrombocytopenic MDS patients are notoriously difficult to manage. Here, we present a case of a MDS patient with an immune-mediated platelet transfusion refractoriness, severe thrombocytopenia and spontaneous subarachnoid hemorhage who we successfully treated with romiplostim, a thrombopoietin receptor agonist.
Global Trends in High-Power On-Board Chargers for Electric Vehicles

This paper provides a comprehensive review and analyses on the state-of-the-art and future trends for high-power conductive on-board chargers (OBCs) for electric vehicles. To provide a global context, a summary of global charging standards and electric vehicle (EV) related trends are presented, which demonstrates momentum toward the OBCs with higher power rating. High-power OBCs are either unidirectional or bidirectional, and they have either an integrated or non-integrated system architecture. Non-integrated high-power OBCs are studied both from industry and academia, and the former are used to illustrate the current state of the art. The latter are classified on the basis of the converter design approach, studied for their principle of operation, and compared over power density, weight, efficiency, and other metrics. In addition to non-integrated OBCs, recent advancements in propulsion-machine integrated OBC solutions are also presented. Other integrated OBC techniques, such as system integration with the EV's auxiliary power module and wireless charging systems, are also discussed. Finally, future charging strategies and functionalities in charging infrastructures are addressed, and global OBC trends are summarized.
Photoinduced Promiscuity of Cyclohexanone Monooxygenase for the Enantioselective Synthesis of α-Fluoroketones

The development of mild, efficient, and enantioselective methods for preparing chiral fluorinated compounds has been a long-standing challenge. Herein, we report a promiscuous cyclohexanone monooxygenase (CHMO) for the photoinduced synthesis of chiral α-fluoroketones via enantioselective reductive dehalogenation of α,α-halofluoroketones. Wild-type CHMO from Acinetobacter sp. possesses this promiscuous ability innately; however, the yield and stereoselectivity are low. A structure-guided rational design of CHMO improved the yield and stereoselectivity remarkably. Mechanistic studies and molecular simulations demonstrated that this photoinduced CHMO catalyzes the reductive dehalogenation via a novel electron transfer (ET)/proton transfer (PT) mechanism, distinct from that of previously reported reductases with similar promiscuity. This methodology was expanded to various substrates, and desirable chiral α-fluoroketones were obtained in high yields (up to 99 %) and e.r. values (up to 99:1).
On the Design of Logarithmic Multiplier Using Radix-4 Booth Encoding

This paper proposes an energy-efficient approximate multiplier which combines radix-4 Booth encoding and logarithmic product approximation. Additionally, a datapath pruning technique is proposed and studied to reduce the hardware complexity of the multiplier. Various experiments were conducted to evaluate the multiplier's error performance and efficiency in terms of energy and area utilization. The reported results are based on simulations using TSMC-180nm. Also, the applicability of the proposed multiplier is examined in image sharpening and convolutional neural networks. The applicability assessment shows that the proposed multiplier can replace an exact multiplier and deliver up to a 75% reduction in energy consumption and up to a 50% reduction in area utilization. Comparative analysis with the state-of-the-art multipliers indicates the potential of the proposed approach as a novel design strategy for approximate multipliers. When compared to the state-of-the-art approximate non-logarithmic multipliers, the proposed multiplier offers smaller energy consumption with the same level of applicability in image processing and classification applications. On the other hand, some state-of-the-art approximate logarithmic multipliers exhibit lower energy consumption than the proposed multiplier but deliver significant performance degradation for the selected application cases.
Histone deacetylase CsHDA6 mediates the regulated formation of the anti-insect metabolite α-farnesene in tea (Camellia sinensis)

α-Farnesene accumulated in tea plants following infestations by most insects, and mechanical wounding is the common factor. However, the specific mechanism underlying the wounding-regulated accumulation of α-farnesene in tea plants remains unclear. In this study, we observed that histone deacetylase inhibitor treatment induced the accumulation of α-farnesene. The histone deacetylase CsHDA6 interacted directly with CsMYC2, which was an important transcription factor in the jasmonic acid (JA) pathway, and co-regulated the expression of the key α-farnesene synthesis gene CsAFS. Wounding caused by insect infestation affected CsHDA6 production at the transcript and protein levels, while also inhibited the binding of CsHDA6 to the CsAFS promoter. The resulting increased acetylation of histones H3/H4 in CsAFS enhanced the expression of CsAFS and the accumulation of α-farnesene. In conclusion, our study demonstrated the effect of histone acetylation on the production of tea plant HIPVs and revealed the importance of the CsHDA6-CsMYC2 transcriptional regulatory module.
Impact of Parental Bos taurus and Bos indicus Origins on Copy Number Variation in Traditional Chinese Cattle Breeds

Copy number variation (CNV) is an important component of genomic structural variation and plays a role not only in evolutionary diversification but also in domestication. Chinese cattle were derived from Bos taurus and Bos indicus, and several breeds presumably are of hybrid origin, but the evolution of CNV regions (CNVRs) has not yet been examined in this context. Here, we of CNVRs, mtDNA D-loop sequence variation, and Y-chromosomal single nucleotide polymorphisms to assess the impact of maternal and paternal B. taurus and B. indicus origins on the distribution of CNVRs in 24 Chinese domesticated bulls. We discovered 470 genome-wide CNVRs, only 72 of which were shared by all three Y-lineages (B. taurus: Y1, Y2; B. indicus: Y3), whereas 265 were shared by inferred taurine or indicine paternal lineages, and 228 when considering their maternal taurine or indicine origins. Phylogenetic analysis uncovered eight taurine/indicine hybrids, and principal component analysis on CNVs corroborated genomic exchange during hybridization. The distribution patterns of CNVRs tended to be lineage-specific, and correlation analysis revealed significant positive or negative co-occurrences of CNVRs across lineages. Our study suggests that CNVs in Chinese cattle partly result from selective breeding during domestication, but also from hybridization and introgression.
GRANMA: Gradient Angle Model Algorithm on Wideband EMI Data for Land-Mine Detection

This letter presents a simple and fast algorithm to analyze wideband electromagnetic induction data for subsurface targets. A well-known four-parameter model is differentiated, resulting in a two-parameter model. A fast lookup table is used to find parameters as opposed to nonlinear optimization. The proposed approach provides a computationally faster way to reproduce the results of state-of-the-art methods. A detailed mathematical analysis of the model is given that describes the advantages and limitations of the proposed method.
Enhanced Recovery After Surgery Is Still Powerful for Colorectal Cancer Patients in COVID-19 Era

Purpose: To figure out whether enhanced recovery after surgery (ERAS) could effectively improve the prognosis of colorectal cancer (CRC) patients and reduce hospitalization expenses under the shadow of COVID-19, furthermore to alleviate the current situation of medical resource for the whole society. Methods: Patients who underwent CRC surgery in the department of gastrointestinal surgery of the First Affiliated Hospital from January 2020 to March 2022 were retrospectively enrolled. According to protocol adherence, all patients were divided into the ERAS group and the non-ERAS group. Short-term outcomes were compared between the two groups. Results: A total of 918 patients were enrolled in the study. Based on protocol adherence ≥70%, 265 patients were classified into the ERAS group and the other 653 patients were classified into the non-ERAS group. Patients in the ERAS group had shorter operation time (P < .01), less intraoperative blood loss (P < .01), shorter overall hospital stay (P < .01) and postoperative hospital stay (P < .01), less hospital costs (P < .01), earlier first flatus (P < .01), earlier first stool (P < .01), earlier food tolerance (P < .01), and lower postoperative complications (P < .01). Univariate and multivariate logistic regression analysis manifested that ERAS and cerebrovascular disease were predictive factors of postoperative overall complications. In univariate analyses, cerebrovascular disease (P = .033, OR = 2.225, 95% CI = 1.066-4.748), time of the surgery (P = .026, OR = 1.417, 95% CI = 1.043-1.925), and ERAS (P < .01, OR = 0.450, 95% CI = 0.307-0.661) were predictive factors. Furthermore, in the multivariate analysis, ERAS (P < .01, OR = 0.440, 95% CI = 0.295-0.656) and cerebrovascular disease (P = .016, OR = 2.575, 95% CI = 1.190-5.575) were independent predictive factors of postoperative overall complications. Conclusion: In summary, under the impact of the COVID-19 pandemic, ERAS could still reduce the financial burden of patients and reduce the incidence of short-term postoperative complications. However, whether the effects of ERAS were enhanced after the pandemic and the long-term outcomes of CRC obey ERAS remained to be further explored.
Oxidation state-specific fluorescent copper sensors reveal oncogene-driven redox changes that regulate labile copper(II) pools

Copper is an essential metal nutrient for life that often relies on redox cycling between Cu(I) and Cu(II) oxidation states to fulfill its physiological roles, but alterations in cellular redox status can lead to imbalances in copper homeostasis that contribute to cancer and other metalloplasias with metal-dependent disease vulnerabilities. Copper-responsive fluorescent probes offer powerful tools to study labile copper pools, but most of these reagents target Cu(I), with limited methods for monitoring Cu(II) owing to its potent fluorescence quenching properties. Here, we report an activity-based sensing strategy for turn-on, oxidation state-specific detection of Cu(II) through metal-directed acyl imidazole chemistry. Cu(II) binding to a metal and oxidation state-specific receptor that accommodates the harder Lewis acidity of Cu(II) relative to Cu(I) activates the pendant dye for reaction with proximal biological nucleophiles and concomitant metal ion release, thus avoiding fluorescence quenching. Copper-directed acyl imidazole 649 for Cu(II) (CD649.2) provides foundational information on the existence and regulation of labile Cu(II) pools, including identifying divalent metal transporter 1 (DMT1) as a Cu(II) importer, labile Cu(II) increases in response to oxidative stress induced by depleting total glutathione levels, and reciprocal increases in labile Cu(II) accompanied by decreases in labile Cu(I) induced by oncogenic mutations that promote oxidative stress.
N-White Balancing: White Balancing for Multiple Illuminats Including Non-Uniform Illumination

In this paper, we propose a novel white balance adjustment for multi-illuminant scenes, called "N-white balancing," in which N source white points are mapped into a ground truth one. Most white balance adjustments focus on adjusting single-illuminant scenes. Several state-of-the-art methods for adjusting multi-illuminant scenes have been proposed, but they need to know the number of segments or the number of light sources in advance. Multi-color balance adjustments have been investigated to improve the performance of white balancing, but they also suffer from color distortion due to the rank deficiency problem. In contrast, the proposed method, N-white balancing, can correct multi-illuminant scenes even when we do not know the exact number of segments or light sources in a scene. In an experiment, the proposed method was demonstrated to outperform state-of-the-art methods under various illumination conditions such as single and multiple illuminants including non-uniform light sources.
Defining invasion in breast cancer: the role of basement membrane

Basement membrane (BM) is an amorphous, sheet-like structure separating the epithelium from the stroma. BM is characterised by a complex structure comprising collagenous and non-collagenous proteoglycans and glycoproteins. In the breast, the thickness, density and composition of the BM around the ductal lobular system vary during differing development stages. In pathological conditions, the BM provides a physical barrier that separates proliferating intraductal epithelial cells from the surrounding stroma, and its absence or breach in malignant lesions is a hallmark of invasion and metastases. Currently, diagnostic services often use special stains and immunohistochemistry (IHC) to identify the BM in order to distinguish in situ from invasive lesions. However, distinguishing BM on stained sections, and differentiating the native BM from the reactive capsule or BM-like material surrounding some invasive malignant breast tumours is challenging. Although diagnostic use of the BM is being replaced by myoepithelial cell IHC markers, BM is considered by many to be a useful marker to distinguish in situ from invasive lesions in ambiguous cases. In this review, the structure, function and biological and clinical significance of the BM are discussed in relation to the various breast lesions with emphasis on how to distinguish the native BM from alternative pathological tissue mimicking its histology.
Human Action Recognition Via Multi-modality Information

In this paper, we propose pyramid appearance and global structure action descriptors on both RGB and depth motion history images and a model-free method for human action recognition. In proposed algorithm, we firstly construct motion history image for both RGB and depth channels, at the same time, depth information is employed to filter RGB information, after that, different action descriptors are extracted from depth and RGB Mills to represent these actions, and then multimodality information collaborative representation and recognition model, in which multi-modality information are put into object function naturally, and information fusion and action recognition also be done together, is proposed to classify human actions. To demonstrate the superiority of the proposed method, we evaluate it on MSR Action3D and DHA datasets, the well-known dataset for human action recognition. Large scale experiment shows our descriptors are robust, stable and efficient, when comparing with the-state-of-the-art algorithms, the performances of our descriptors are better than that of them, further, the performance of combined descriptors is much better than just using sole descriptor. What is more, our proposed model outperforms the state-of-the-art methods on both MSR Action3D and DHA datasets.
Noninvasive Solution for Electrochemical Impedance Spectroscopy on Metallic Works of Art

Metallic works of art of cultural relevance are continuously subjected to corrosion as the environment becomes increasingly polluted. A fast and simple method to in situ assess the conservation conditions is therefore required. This paper describes the development and performance of dry and gel-based electrodes which can be used to assess the surface conservation state without the need to move the artifacts and which do not cause any damage to them. The electrodes can be used with a portable electrochemical impedance spectroscopy system, without employing electrochemical cells. The proposed solution does not provide all the information that one can obtain using an electrochemical cell, but it can discriminate between protective coatings. It can be used to assess the protective capability of corrosion product layers and natural patinas, and it can therefore enable a noninvasive routine surface assessment to be conducted that could be extremely useful for people working in the field of conservation of cultural heritage.
Addition of Camrelizumab to Transarterial Chemoembolization in Hepatocellular Carcinoma With Untreatable Progression

Purpose: The present retrospective study aimed to evaluate the efficacy and safety of camrelizumab addition to transarterial chemoembolization (TACE) in the treatment of hepatocellular carcinoma (HCC) with TACE-related untreatable progression (UP). Methods: Patients with HCC who received addition of camrelizumab due to UP after initial TACE treatment were enrolled at our institution between May 2019 and January 2021. Patients were assessed for tumor response, progression-free survival (PFS), and adverse events (AEs). Risk factors for PFS were evaluated with logistic regression analysis. Results: A total of 41 patients were included. The objective response rates (ORR) and disease control rates (DCR) were 24.4% and 61.0% at 2 to 3 months, and 12.2% and 58.5% at 6 months, respectively. The median PFS of the patients were 6 months (95% confidence interval [CI]: 3.8 months, 8.2 months). Of the 41 patients, 23 received camrelizumab combined with TACE (hereafter, camrelizumab-TACE) on whom 52 combined TACE procedures were performed, with a median of 2 procedures (range: 1-6) per patient. The remaining 18 patients received camrelizumab alone due to TACE contraindications. Multivariable analysis indicated that camrelizumab-TACE was an independent prognostic factor for PFS. Subgroup analysis showed a median PFS of 8 months in the camrelizumab-TACE group and 3 months in the camrelizumab monotherapy group (P < .001). No treatment-related mortalities occurred. Seventeen patients (41.5%) developed at least 1 type of AE after treatment with camrelizumab, with reactive cutaneous capillary endothelial proliferation (RCCEP) (n = 14, 34.1%) being the most common AE. Conclusion: Addition of camrelizumab to TACE offered an effective and safe treatment for HCC with UP.