bluuebunny/crossref_metadata_2025 huggingface dataset:
Discourse‐Feature‐Driven Movement in Spanish and the Revised PGU*
Authors: Yang Jiahui
Published: January 2023

This paper aims to reconsider the purpose of movement and its Last‐Resort nature. In conformity with Chomsky (2008) and Jiménez‐Fernández (2020), the apparent optional movement in Spanish is not free at base, but related to the discourse‐feature inheritance. However, I depart from the latter by arguing that these discourse features do notwork in tandemwith the EF in T in order to attract the relevant constituent to [Spec,TP]; rather, movement may be required by the need to preserve the functional relations established through Agree, i.e., probe‐goal union (PGU) formulated in Miyagawa (2010). Furthermore, in light of Last Resort, I propose that PGU should be revised in a way that the goal moves into the probe if andonlyif no other more economical alternative is available to manifest the established functional relations. We shall see that Contrastive Focus and DOM constructions in Spanish empirically evidence the Revised PGU approach, and some self‐evident predictions based on it also prove the advantage of the current proposal.
Next generation sequencing reveals a novel HLA‐C allele, HLA‐C*16:201
Authors: Rakhmanov Mirzokhid , Verboom Murielle , Bernheiden Martin , Emmerich Florian
Published: January 2023

HLA‐C*16:201 differs from HLA‐HLA‐C*16:01:01 by one nucleotide substitution in codon 73 (ACT ‐>GCT).
Allele and haplotype frequencies of 11 HLA loci in Koreans by next‐generation sequencing
Authors: Jung Kiwook , Kim Jisoo G. , Shin Sue , Roh Eun Youn , Hong Yun Ji , Song Eun Young
Published: January 2023

Data on HLA genotype distribution, including DQA1 and DPA1, in the Korean population are limited. We aimed to investigate the allele and haplotype frequencies of 11 HLA loci in 339 Korean subjects using next‐generation sequencing (NGS)‐based HLA typing. A total of 339 samples from unrelated healthy subjects were genotyped for HLA‐A, ‐B, ‐C, ‐DRB1, ‐DRB3, ‐DRB4, ‐DRB5, ‐DQB1, ‐DQA1, ‐DPB1, and ‐DPA1 using two different NGS‐based HLA typing kits (166 tested using the NGSgo‐MX11‐3 kit [GenDx, Netherlands] and 173 by the AllType NGS 11 Loci Amplification kit [One Lambda, USA]). PyPop software was used to estimate allele and haplotype frequencies and linkage disequilibrium between the loci. Additionally, a principal component analysis was performed to compare the allele distribution of Koreans with that of other populations. A total of 214 HLA alleles (97 class I and 117 class II alleles) were assigned. The most frequent alleles for each locus were A*24:02:01 (24.78%), B*15:01:01 (10.18%), C*01:02:01 (18.44%), DRB1*04:05:01 (9.59%), DRB3*02:02:01 (13.72%), DRB4*01:03:01 (25.81%), DRB5*01:01:01 (9.0%), DQA1*01:02:01 (16.96%), DQB1*03:01:01 (14.31%), DPA1*01:03:01 (44.4%), and DPB1*05:01:01 (35.1%), respectively. The most frequent haplotypes were A*33:03:01‐C*03:02:02‐B*58:01:01 for HLA class I (5.01%) and DRB1*04:05:01‐DQA1*03:03:01‐DQB1*04:01:01‐DPA1*02:02:02‐DPB1*05:01:01 for HLA class II (6.23%). The total allelic ambiguities by NGS were estimated to be minimal and considerably decreased compared with those by Sanger sequencing. The Japanese population had the most similar allele distribution to Koreans, followed by the Chinese population. Frequency data of 11 HLA loci in Koreans can provide essential data for population genetics and disease association studies.
A novel null‐allele, HLA‐B*35:574N, containing a mutation in the start‐codon
Authors: Rakhmanov Mirzokhid , Bernheiden Martin , Verboom Murielle , Hofmann Maike , Emmerich Florian
Published: January 2023

HLA‐B*35:574N contains a single nucleotide substitution at nucleotide position 2 (ATG to ACG).
Students with access to 3D study materials are better able to translate spatial relationships between abdominal organs and correctly interpret abnormal radiographic images
Authors: Means Kari , Voges Andra , Ritter Nicola L.
Published: January 2023

Previous studies have demonstrated evidence that three‐dimensional (3D) visualization techniques can be helpful as learning tools. This prospective randomized control study was designed to test the hypothesis that 3D learning tools would have improved translation into interpreting normal and abnormal canine abdominal radiographic images over traditional learning tools. Sagittal and dorsal plane 3D image scenes were created from CT scans, with canine abdominal organs labeled using virtual reality and 3D visualization software tools. Eighty students from the first‐ and second‐year veterinary classes at a single institution participated in the study. The control group studied canine abdominal anatomy from a textbook and the experimental group studied canine abdominal anatomy using the 3D learning tools for a set time. Each participant then took a three‐part written examination to assess their learning for the following categories: 3D anatomy organ identification, radiographic anatomy organ identification of normal structures and radiographic anatomy organ identification of abnormal structures. All participants were also asked to identify the sex of the test patient from the 3D study. Participants from the experimental group performed statistically better than participants in the control group for all parts of the examination, with the exception of normal radiographic anatomy.
Food safety interventions in low‐ and middle‐income countries in Asia: A systematic review
Authors: Kwoba Emmah , Oduori David Obiero , Lambertini Elisabetta , Thomas Lian Francesca , Grace Delia , Mutua Florence
Published: January 2023

Effective and sustainable interventions are necessary for long‐term improvement of food safety. This review provides a summary of food safety interventions evaluated in selected low‐ and middle‐income countries in Asia between 2000 and 2020. A systematic screening of published articles from PubMed and CabDirect databases was carried out with the aid of Rayyan QCRI software. A total of 25 studies were considered in the review. A ‘before and after’ study design was the most frequently used design (64%), while five studies (20%) used a randomized control trial (RCT) design. Interventions applied focused on training to improve knowledge, attitudes, and practices (KAP) towards safe food (60%) or on specific technologies (40%). Nine of the 25 studies were specific on the value chain considered: cattle (1), poultry (1), pigs (4) and fish value chains (3). Except for one study, all interventions reported some level of success; 17 were rated as having a high level of success, defined differently across studies. However, there is a clear evidence gap for the efficacy and cost‐effectiveness of food safety interventions in market settings, both consumer‐ and vendor‐facing. A rigorous and standardized assessment of intervention effectiveness and sustainability is recommended, to not only identify areas of improvement, but also to ensure scaling of interventions with demonstrated evidence of success and sustainability.
Semiotic Multimodality Communication in The Age of New Media
Authors: Hasyim Muhammad , Arafah Burhanuddin
Published: January 2023

The age of new media is changing the social order of communication. The availability of the widest access for internet users to communicate without time and region limitations is a feature of this digital media era. The second distinctive feature is the communication of digital media by using semiotic multimodality (a combination of verbal and nonverbal signs, for example, emojis, images, videos, sounds, and music). The purpose of this paper is to identify how cultures communicate with the New Media Age's semiotic multimodality. The approach used is semiotics, that is, an approach that views the media as a medium of exchange for signs of multimodality (complex verbal and nonverbal signs used in real-time). This paper concludes that the new media produce three models of communication between social media users, namely verbal and verbal language (sign) communication, verbal and nonverbal communication, and nonverbal-nonverbal communication. This study adds to the importance of internet users in communicating by utilizing the three models to remain critical in responding to various information received and disseminated. Because the use of semiotic multimodality that is compatible with communication models can cause problems in the meaning of the message conveyed.
Comparing the Buckling Strength of Spherical Shells With Dimpled Versus Bumpy Defects
Authors: Abbasi Arefeh , Derveni Fani , Reis Pedro M.
Published: January 2023

We investigate the effect of defect geometry in dictating the sensitivity of the critical buckling conditions of spherical shells under external pressure loading. Specifically, we perform a comparative study between shells containing dimpled (inward) versus bumpy (outward) Gaussian defects. The former has become the standard shape in many recent shell-buckling studies, whereas the latter has remained mostly unexplored. We employ finite-element simulations, which were validated previously against experiments, to compute the knockdown factors for the two cases while systematically exploring the parameter space of the defect geometry. For the same magnitudes of the amplitude and angular width of the defect, we find that shells containing bumpy defects consistently exhibit significantly higher knockdown factors than shells with the more classic dimpled defects. Furthermore, the relationship of the knockdown as a function of the amplitude and the width of the defect is qualitatively different between the two cases, which also exhibit distinct post-buckling behavior. A speculative interpretation of the results is provided based on the qualitative differences in the mean-curvature profiles of the two cases.
Improving low-frequency response of sonic boom measurements through digital
filtering
Authors: Rasband Reese D. , Gee Kent L. , Gabrielson Thomas B. , Loubeau Alexandra
Published: January 2023

High-fidelity measurement of sonic boom waveforms requires microphones and data acquisition hardware with flat frequency responses extending below 1 Hz. Hardware limitations can pose challenges meeting these requirements. This letter describes an engineering method involving digital pole-shift filtering that can be used in post-processing to extend effective hardware bandwidth. This approach is evaluated for sonic boom recordings from NASA's Quiet Supersonic Flights 2018 measurement campaign. Recordings of several booms at multiple measurement sites using different hardware/microphone combinations were used to design filters. Results demonstrate that the measurement-designed filters significantly reduce the mean square error between original and benchmark waveforms. Digital filter designs based on hardware manufacturer specifications also reduce error, but not as much. Residual errors after filtering, method limitations, and transferability to a launch vehicle reentry boom measurement are discussed.
The dual-function chemokine receptor CCR2 drives migration and chemokine scavenging through distinct mechanisms
Authors: Shroka Thomas M. , Kufareva Irina , Salanga Catherina L. , Handel Tracy M.
Published: January 2023

C-C chemokine receptor 2 (CCR2) is a dual-function receptor. Similar to other G protein–coupled chemokine receptors, it promotes monocyte infiltration into tissues in response to the chemokine CCL2, and, like atypical chemokine receptors (ACKRs), it scavenges chemokine from the extracellular environment. CCR2 therefore mediates CCL2-dependent signaling as a G protein–coupled receptor (GPCR) and also limits CCL2 signaling as a scavenger receptor. We investigated the mechanisms underlying CCR2 scavenging, including the involvement of intracellular proteins typically associated with GPCR signaling and internalization. Using CRISPR knockout cell lines, we showed that CCR2 scavenged by constitutively internalizing to remove CCL2 from the extracellular space and recycling back to the cell surface for further rounds of ligand sequestration. This process occurred independently of G proteins, GPCR kinases (GRKs), β-arrestins, and clathrin, which is distinct from other “professional” chemokine scavenger receptors that couple to GRKs, β-arrestins, or both. These findings set the stage for understanding the molecular regulators that determine CCR2 scavenging and may have implications for drug development targeting this therapeutically important receptor.
Evaluation of Piperacillin-Tazobactam Testing against
Enterobacterales
by the Phoenix, MicroScan, and Vitek2 Tests Using Updated Clinical and Laboratory Standards Institute Breakpoints
Authors: Manuel Carmila , Maynard Richard , Abbott April , Adams Kara , Alby Kevin , Sweeney Amy , Dien Bard Jennifer , Flores Irvin Ibarra , Rekasius Violet , Harrington Amanda , Kidd Tiffany S. , Mathers Amy J. , Tekle Tsigereda , Simner Patricia J. , Humphries Romney M.
Published: January 2023

In 2022, the Clinical and Laboratory Standards Institute (CLSI) updated piperacillin-tazobactam (TZP) breakpoints for
Enterobacterales
, based on substantial data suggesting that historical breakpoints did not predict treatment outcomes for TZP. The U.S.
Evaluation of Performance Characteristics of the Aptima CMV Quant Assay for the Detection and Quantitation of CMV DNA in Plasma Samples
Authors: Sam Soya S. , Rogers Ralph , Ingersoll Jessica , Kraft Colleen S. , Caliendo Angela M.
Published: January 2023

Quantification of Cytomegalovirus (CMV) DNA has become the standard of care in the diagnosis and management of CMV infection in transplant recipients. The objective of the study was to evaluate performance characteristics of the Aptima CMV Quant assay in comparison to Abbott RealTi
m
e CMV assay, Qiagen Artus CMV RGQ MDx assay, and Roche cobas CMV test using plasma samples.
Trimeric, APC-Targeted Subunit Vaccines Protect Mice against Seasonal and Pandemic Influenza
Authors: Tjärnhage Elias , Brown Diamond , Bogen Bjarne , Andersen Tor Kristian , Grødeland Gunnveig
Published: January 2023

Subunit vaccines present only selected viral proteins to the immune system and allow for safe and easy production. Here, we have developed a novel vaccine where influenza hemagglutinin is presented in the natural trimeric form and then steered toward antigen-presenting cells for increased immunogenicity. We demonstrate efficient induction of antibodies and T-cell responses, and demonstrate that the vaccine format can protect mice against influenza subtypes H1N1, H5N1, and H7N1.
Metagenome-Assembled Genome of an Alphaproteobacterium Isolated from an HetDA Enrichment from the North Pacific Subtropical Gyre
Authors: Santillan Martin , Graham Elaina D. , Heidelberg John F. , Webb Eric A.
Published: January 2023

Here, we present HetDA_MAG_SS10, a metagenome-assembled genome (MAG) from an enrichment of a heterocystous diazotroph originally living in association with
Trichodesmium
spp. obtained near Station ALOHA in the North Pacific Ocean. HetDA_MAG_SS10, an alphaproteobacterium in the order
Micavibrionales
, is proposed to be photoheterotrophic via rhodopsin and has the potential for dimethylsulfoniopropionate (DMSP) demethylation.
Draft Genome Sequence of an Isolate of Genotype VII Newcastle Disease Virus Isolated from an Outbreak in Fighting Cock in Peru
Authors: Fernández-Díaz Manolo , Montalván-Avalos Angela , Isasi-Rivas Gisela , Villanueva-Pérez Doris , Quiñones-Garcia Stefany , Tataje-Lavanda Luis , Rios-Matos Dora , Lulo-Vargas Milagros , Fernández-Sánchez Manolo , Guevara-Sarmiento Luis A. , Zimic Mirko , Rojas-Neyra Aldo , Calderón Katherine
Published: January 2023

This study presents a draft genome sequence of a Newcastle disease virus (NDV) strain (VFAR-136) isolated from a fighting cock (
Gallus gallus
) in the south of Peru. Strain VFAR-136 is a new report of NDV genotype VII circulating in Peru.
Together or Alone: Evaluating the Pathogen Inhibition Potential of Bacterial Cocktails against an Amphibian Pathogen
Authors: Alexiev Alexandra , Chen Melissa Y. , Korpita Timothy , Weier Andrew M. , McKenzie Valerie J.
Published: January 2023

Batrachochytrium dendrobatidis
(
Bd
) is a pathogen that infects amphibians globally and is causing a biodiversity crisis. Our research group studies one of the species affected by
Bd
, namely, the Colorado boreal toad (
Anaxyrus boreas boreas
).
Characterization and Genome Analysis of Vibrio campbellii Lytic Bacteriophage OPA17
Authors: Srisangthong Intraporn , Sangseedum Chadtida , Chaichanit Netnapa , Surachat Komwit , Suanyuk Naraid , Mittraparp-arthorn Pimonsri
Published: January 2023

V. campbellii
is an emerging luminous pathogen associated with vibriosis, especially in marine shrimp hatcheries. Several strategies, including pond management and use of natural antimicrobials and probiotics, have been studied for control of this organism.
Development of a Heat-Killed
fbp1
Mutant Strain as a Therapeutic Agent To Treat Invasive Cryptococcus Infection
Authors: Wang Yina , Wang Keyi , Rivera Amariliz , Xue Chaoyang
Published: January 2023

Invasive fungal infections, e.g., cryptococcosis, are often life threatening and difficult to treat with very limited therapeutic options. There is no vaccine available in clinical use to prevent or treat fungal infections.
Extrarenal rhabdoid tumour of axillary soft tissue: a diagnostic challenge resolved by immunohistochemistry
Authors: Buch Archana Chirag , Bhuibhar Gayatri , Londhe Mangesh , Dhaliwal Sargam , Gurwale Sushama
Published: January 2023

Extrarenal rhabdoid tumour of soft tissue in children is a rare tumour associated with poor prognosis. It is a heterogeneous group of aggressive tumours with distinct histopathological and immunohistochemistry findings. The tumour is characterised by diffuse proliferation of rhabdoid cells with hyaline like inclusion bodies. Defining feature is aberration of INI1/SMARCB1 gene located at chromosome 22q11.2. We report one such rare case in a female infant presenting as left axillary mass.
Association between coeliac disease and cardiovascular disease: prospective analysis of UK Biobank data
Authors: Conroy Megan , Allen Naomi , Lacey Ben , Soilleux Elizabeth , Littlejohns Thomas
Published: January 2023

Objectives

To investigate whether people with coeliac disease are at increased risk of cardiovascular disease, including ischaemic heart disease, myocardial infarction, and stroke.

Design

Prospective analysis of a large cohort study.

Setting

UK Biobank database.

Participants

469 095 adults, of which 2083 had coeliac disease, aged 40-69 years from England, Scotland, and Wales between 2006 and 2010 without cardiovascular disease at baseline.

Main outcome measure

A composite primary outcome was relative risk of cardiovascular disease, ischaemic heart disease, myocardial infarction, and stroke in people with coeliac disease compared with people who do not have coeliac disease, assessed using Cox proportional hazard models.

Results

40 687 incident cardiovascular disease events occurred over a median follow-up of 12.4 years (interquartile range 11.5-13.1), with 218 events among people with coeliac disease. Participants with coeliac disease were more likely to have a lower body mass index and systolic blood pressure, less likely to smoke, and more likely to have an ideal cardiovascular risk score than people who do not have coeliac disease. Despite this, participants with coeliac disease had an incidence rate of 9.0 cardiovascular disease cases per 1000 person years (95% confidence interval 7.9 to 10.3) compared with 7.4 per 1000 person years (7.3 to 7.4) in people with no coeliac disease. Coeliac disease was associated with an increased risk of cardiovascular disease (hazard ratio 1.27 (95% confidence interval 1.11 to 1.45)), which was not influenced by adjusting for lifestyle factors (1.27 (1.11 to 1.45)), but was strengthened by further adjusting for other cardiovascular risk factors (1.44 (1.26 to 1.65)). Similar associations were identified for ischaemic heart disease and myocardial infarction but fewer stroke events were reported and no evidence of an association between coeliac disease and risk of stroke.

Conclusions

Individuals with coeliac disease had a lower prevalence of traditional cardiovascular risk factors but had a higher risk of developing cardiovascular disease than did people with no coeliac disease. Cardiovascular risk scores used in clinical practice might therefore not adequately capture the excess risk of cardiovascular disease in people with coeliac disease, and clinicians should be aware of the need to optimise cardiovascular health in this population.
Patient-reported burden of myasthenia gravis: baseline results of the international prospective, observational, longitudinal real-world digital study MyRealWorld-MG
Authors: Dewilde Sarah , Philips Glenn , Paci Sandra , Beauchamp Jon , Chiroli Silvia , Quinn Casey , Day Laura , Larkin Mark , Palace Jacqueline , Berrih-Aknin Sonia , Claeys Kristl G , Muppidi Srikanth , Mantegazza Renato , Saccà Francesco , Meisel Andreas , Bassez Guillaume , Murai Hiroyuki , Janssen MF
Published: January 2023

Objectives

Myasthenia gravis (MG) is a rare, chronic, autoimmune neuromuscular disease which can affect functional and mental aspects of health and health-related quality of life (HRQoL). This study aims to obtain detailed knowledge of the impact of MG on HRQoL in a broad population from the perspective of the patient.

Design

Prospective, observational, digital, longitudinal real-world study.

Setting

Adult patients with MG from seven countries (USA, Japan, Germany, UK, Italy, Spain and Canada) downloaded a mobile application onto their phones and entered data about themselves and their MG.

Outcome measures

Data was collected using the following general and disease-specific patient-reported outcome measurements: EuroQol 5 Domains Health-Related Quality of Life Questionnaire (EQ-5D-5L), Myasthenia Gravis Activities of Daily Living (MG-ADL), Myasthenia Gravis Quality of Life 15-item revised scale (MG-QoL-15r), Hospital Anxiety and Depression Scale (HADS) and Health Utilities Index III (HUI3). Patients were categorised by their self-assessed Myasthenia Gravis Foundation of America (MGFA) class (I–V).

Results

Baseline results of 841 participants (mean age 47 years, 70% women) are reported . The distribution across the MGFA classes was: 13.9%, 31.0%, 38.1%, 15.5% and 1.6% for classes I–V. The MGFA class was a strong predictor of all aspects of HRQoL, measured with disease-specific and with generic instruments. The domains in which patients with MG most frequently mentioned problems were usual activities, anxiety and depression, tiredness, breathing and vision. The mean total MG-ADL Score was positively associated with increasing MGFA classes: 2.7, 4.4, 6.3 and 8.4 for MGFA classes I–IV. Mean baseline EQ-5D-5L utility was also associated with MGFA classes and was 0.817, 0.766, 0.648 and 0.530 for MGFA class I–IV.

Conclusions

MG has a large impact on key aspects of health and HRQoL. The impact of this disease increases substantially with increasing disease severity.
Walking the line between assessment, improvement and learning: a qualitative study on opportunities and risks of incorporating peer discussion of audit and feedback within quality improvement in general practice
Authors: van der Winden Dorien , van Dijk Nynke , Visser Mechteld R M , Bont Jettie
Published: January 2023

Objectives

There is a broad call for change towards ‘new era’ quality systems in healthcare, in which the focus lies on learning and improving. A promising way to establish this in general practice care is to combine audit and feedback with peer group discussion. However, it is not known what different stakeholders think of this type of quality improvement. The aim of this research was to explore the opinions of different stakeholders in general practice on peer discussion of audit and feedback and on its opportunities and risks. Second, their thoughts on transparency versus accountability, regarding this system, were studied.

Design

An exploratory qualitative study within a constructivist paradigm. Semistructured interviews and focus group discussions were held and coded using thematic analysis. Included stakeholders were general practitioners (GP), patients, professional organisations and insurance companies.

Setting

General practice in the Netherlands.

Participants

22 participants were purposively sampled for eight interviews and two focus group discussions.

Results

Three main opportunities of peer discussion of audit and feedback were identified: deeper levels of reflection on data, adding context to numbers and more ownership; and three main risks: handling of unwilling colleagues, lacking a safe group and the necessity of patient involvement. An additional theme concerned disagreement on the amount of transparency to be offered: insurance companies and patients advocated for complete transparency on data and improvement of outcomes, while GPs and professional organisations urged to restrict transparency to giving insight into the process.

Conclusions

Peer discussion of audit and feedback could be part of a change movement, towards a quality system based on learning and trust, that is initiated by the profession. Creating a safe learning environment and involving patients is key herein. Caution is needed when complete transparency is asked, since it could jeopardise practitioners’ reflection and learning in safety.
Antitumor effect of CAR-T cells targeting transmembrane tumor necrosis factor alpha combined with PD-1 mAb on breast cancers
Authors: Ba Hongping , Dai Zigang , Zhang Zunyue , Zhang Peng , Yin Bingjiao , Wang Jing , Li Zhuoya , Zhou Xiaoxi
Published: January 2023

Background

Our previous study showed that transmembrane tumor necrosis factor alpha (tmTNF-α) is overexpressed in primary breast cancers including triple-negative breast cancers (TNBCs). Chimeric antigen receptor engineered-T (CAR-T) cells have been successfully used mainly in B-cell malignancies.

Methods

We generated CAR-T cells targeting tmTNF-α but not secreted tumor necrosis factor alpha and assessed the antitumor effect of the CAR-T cells on tmTNF-α-expressing breast cancer cells in vitro and in vivo.

Results

Our tmTNF-α CAR-T cells showed potent cytotoxicity against tmTNF-α-expressing breast cancer cells but not tmTNF-α-negative tumor cells with increased secretion of interferon gamma (IFN-γ) and interleukin (IL)-2 in vitro. In tmTNF-α-overexpressing TNBC-bearing mice, the tmTNF-α CAR-T therapy induced evident tumor regression, prolonged survival and increased serum concentrations of IFN-γ and IL-2. However, we found thattmTNF-α induced programmed death-ligand 1 (PD-L1) expression through the p38 pathway via TNF receptor (TNFR) and through the NF-κB and AKT pathways via outside-to-inside (reverse) signaling, which might limit the efficacy of the CAR-T cell therapy. Blockage of the PD-L1/programmed death-1 (PD-1) pathway by PD-1 monoclonal antibody significantly enhanced the antitumor effect of the tmTNF-α CAR-T cell therapy in vitro and in vivo, and the combination was effective for antiprimary tumors and had a tendency to increase the antimetastasis effect of the CAR-T cell therapy.

Conclusion

Our findings suggest a potent antitumor efficacy of the tmTNF-α CAR-T cells that can be enhanced by anti-PD-L1/PD-1 because high PD-L1 expression in TNBC was induced by the tmTNF-α signaling, indicating a promising individual therapy for tmTNF-α-positive breast cancers including TNBC.
Aerodynamic performance characteristics of winglet configurations for the low and medium Reynolds number operations
Authors: Sethunathan P. , Ramasamy K. K.
Published: January 2023

Three-dimensional numerical simulation-assisted parametric evaluation of winglet design for the small unmanned aerial vehicles (UAV) has been performed at low range and medium range of Reynolds number (Re) using commercial CFD package, Ansys-Fluent. By systematic variation of winglet parameters: sweep back and cant angle, the selection of optimum value of these parameters had to be selected for achieving better values of [Formula: see text]/[Formula: see text] and [Formula: see text]/[Formula: see text] to minimize the drag and maximize the range and endurance. Out of these geometrical winglet parameters, by varying one winglet parameter while keeping other parameter as a constant, different sets of winglet configuration have been developed and the detailed representation of semi-wing with winglet geometry has been generated using Computed-Aided Design (CAD) tool. The computational domain has been solved for the Re of [Formula: see text] and [Formula: see text] using “3D Reynolds Averaged Navier–Stokes equations” along the turbulence model, k-[Formula: see text] for all wing configurations with and without winglet planned for this study. From Lift and Drag values for each angle of attack (AOA), [Formula: see text] and [Formula: see text] have been estimated for identifying optimum value of [Formula: see text]/[Formula: see text] and [Formula: see text]/[Formula: see text] to have maximum range and endurance with minimum drag during the cruise operation of small UAVs in low and medium Re range operation. Out of all wing with winglet configurations considered here, the winglet with cant of 70° and 90° results in ending up with better aerodynamic performances for providing better range and endurance. At the same time, the change in sweep angle of the winglet does not show any variation, in turn there is a decrease in aerodynamic performance.
Simultaneous features of nonuniform heat sink/source and activation energy in entropy optimized flow of Sutterby fluid subject to thermal radiation
Authors: Hussain Zubair , Khan W. A. , Ali M. , Shahid H. , Irfan M.
Published: January 2023

The applications of nanofluids (NFs) have been comprehensively explored in current years, as they have abundant potential for technical progress and more prominently offer assistances that can be associated with the applications of NFs for several determinations. Nanotechnology can be applied in various technological fields such as medicine, information technologies, food safety and novel materials. Here, novel properties of entropy generation in a mixed convective magneto flow of a Sutterby nanomaterial to an extended surface is scrutinized. Nanofluid model comprises Brownian motion and thermophoresis aspects. The expression of energy depends upon the phenomenon of viscous dissipation and thermal radiation. We formulated the Bejan number and entropy generation. To reduce PDEs into nonlinear ODEs, we use transformation of variables and then the resultant system is solved by bvp4c technique. The influence of the parameters involved, such as thermal radiation, chemical reaction parameter, diffusive variable, magnetic parameter, thermophoresis parameter and Schmidt number for temperature, concentration as well as Bejan number, entropy generation are inspected through tables and graphs.
Experimental and theoretical studies of Mg-doped ZnO (Mg:ZnO) for optoelectronic applications
Authors: Khuili M. , El Hallani G. , Fazouan N. , Atmani E. H. , Allaoui I. , Al-Qaisi S. , Abba E. H. , Lekouch Kh.
Published: January 2023

Thin films of pure and Mg-doped ZnO (Zinc Oxide) were successfully elaborated on glass substrates using the sol–gel technique. X-Ray diffraction patterns show that all grown films have good crystallinity and a hexagonal wurtzite structure, the (002) direction is the most preferred for thin-film growth. Atomic force microscopy (AFM) analysis showed that the surface is homogeneous and more compact with little change in surface morphology with increasing Mg doping rate, which agreed with the crystallite sizes obtained from the XRD results. The structural parameter “[Formula: see text]” measured and calculated using functional density increases while “[Formula: see text]” decreases. The electronic and optical bandgap and transmittance improve by increasing the concentration of Mg. The physical origin of the energy gap bowing parameter is investigated using the Zunger approach, which examines the microscopic origins of the energy bandgap bowing. In contrast, the reflectivity and electrical conductivity are reduced with increasing concentration of Mg. The experimental and theoretical results have the same tendency therefore, the Mg-doped ZnO (ZnO:Mg) is an essential candidate material for thin films in many optoelectronic devices.
Characteristics and Optimization Strategies of A* Algorithm and Ant Colony Optimization in Global Path Planning Algorithm
Authors: Ni Yun , Zhuo Qinghua , Li Ning , Yu Kaihuan , He Miao , Gao Xinlong
Published: January 2023

A* algorithm and ant colony optimization (ACO) are more widely used in path planning among global path planning algorithms. The optimization process is analyzed and summarized from the principles and characteristics of the two algorithms, A* algorithm is mainly optimized in terms of point selection and improvement of heuristic function; and ACO is mainly investigated in terms of transfer probability and pheromone positive feedback for improvement and optimization. Taking a single algorithm solving complex optimization problems difficulties into consideration, a splitting strategy can be used. So that local path or intelligent path optimization algorithms are incorporated in global path planning to improve search efficiency and optimization quality.
Thermal Performance Analysis and Prediction of Printed Circuit Boards
Authors: Wan Yi , Huang Hailong
Published: January 2023

Printed circuit boards (PCBs) are important components of electronic devices, they play the roles of mechanical connections and electrical transmission, thermal failure is their main failure mode, the heat flow analysis and thermal reliability design are the basis and premise to improve thermal performance of PCBs. In this paper, analysis models of PCBs thermal performance are built based on the principles of fluid mechanics and the finite element method, and we obtain the influence and analysis of internal heat sources on PCBs thermal performance. The study provides a theoretical basis for PCBs thermal reliability design which can be applied to high-density Internet of Things and blockchain ICT integration.
SUPPORT VECTOR MACHINE LEARNING ON SLURRY EROSION CHARACTERISTICS ANALYSIS OF Ni- AND Co-ALLOY COATINGS
Authors: SINGH JASHANPREET , SINGH SIMRANJIT
Published: January 2023

In this paper, a novel support vector machine (SVM) learning approach has been used to predict the silt erosion of coatings sprayed by the high-velocity oxy-fuel (HVOF) process. The silt erosion resistance of HVOF-coated Co- and Ni-alloys is studied using an erosion tester. Both of these spraying powders were deposited on the 18Cr-12Ni-2Mo austenitic steel substrate. For the erosion experiments, the fixtures were developed to test the erosion characteristics at different impingement conditions (i.e. [Formula: see text], [Formula: see text], and [Formula: see text]). The image processing technique enables an understanding of the erosion mechanisms of coatings. The support vector regression is more effective than the traditional regression models. The proposed model employs support vector regression with parameter tuning. The ideal parameters are selected with the help of the grid search method. The model is trained by supplying 70% data and validated with 15% data. Afterward, the remaining 15% is given to the prepared model as testing data. The dataset obtained is employed for building an effective support vector regression model. The predicted results are compared against the original experimental values. The developed model is also compared with other state-of-the-art machine learning techniques for showing the preciseness of the proposed model. The Ni-based HVOF coating showed superior performance ([Formula: see text]) better than the Co-based HVOF coating under similar experimental conditions. An SVM model was successfully developed to predict the erosion of coated and uncoated 18Cr-12Ni-2Mo austenitic steel. The precision performance of the SVM model was calculated in terms of [Formula: see text], RMSE, [Formula: see text], and MAE as 0.99, [Formula: see text], 0.99, and [Formula: see text], respectively.
Damage Identification of Simply Supported Bridges Using Static Responses: Unified Framework and Feasibility Study
Authors: Zheng Xu , Yang Dong-Hui , Yi Ting-Hua , Li Hong-Nan
Published: January 2023

Simply supported bridges are the main bridge types in many transportation systems, and their damage can significantly reduce their load-carrying capacity. To detect possible damage, the time history and spatial distribution of the static responses of bridges (deflection, rotation, and strain influence lines/deformation curves) have recently been proposed as important indicators due to their good local damage detection ability and low testing cost. This paper attempts to establish connections between different static curve-based damage indicators through the various forms of Maxwell-Betti’s law. Damage indicators related to seven static curves are then rewritten as a unified framework. The framework states that all these static curves are directly related to the flexural stiffness distribution of the main girder for the simply supported bridge. Then, the theoretical formulations for the difference between the static curves of bridges in intact and damaged states are derived, and the response difference surfaces (RDSs) are plotted to visualize the sensitivity of different static curves to damage. Sensor placement suggestions for stiffness degradation evaluation are presented based on the damage sensitivity analysis at the end of this paper. The results of this study provide comprehensive theoretical support for static response-based damage identification of simply supported bridges.
Higher-Order Accurate Explicit Time Schemes with Improved Dissipation Properties
Authors: Kim Wooram , Choi Hyung Gyu , Kwon Seongjin
Published: January 2023

In this paper, a novel family of fourth-order accurate explicit time integration schemes is developed by combining the new time approximations and the explicit fourth-order Runge–Kutta (RK4) method. Inaccurate predictions due to the presence of excessive numerical dissipation are often observed in practical analyses of structural dynamics when the RK4 is employed for both displacement and velocity approximations. To remedy this, novel time approximations with adjustable algorithmic parameters are employed for the displacement vectors while the velocity vectors are approximated by using the RK4. For the complete elimination of numerical dissipation, algorithmic parameters are unconventionally determined by taking the determinant of the amplification matrix as unity. A set of algorithmic parameters obtained from this process makes the new schemes completely non-dissipative while keeping the computational cost the same as the RK4. Due to this improvement, the new schemes have enhanced total energy-conserving capabilities for nonlinear systems and give noticeably more accurate predictions in practical analyses. Until now, controllable numerical dissipation and fourth-order accuracy are not attained simultaneously in a unified set of time schemes. In the new schemes, however, a systematic way to adjust the level of numerical dissipation is also presented while attaining fourth-order accuracy. The numerical results of various test problems show that the new time schemes can provide more accurate predictions for nonlinear conservative dynamic problems than the existing time schemes.
Finitely generated coreduced comultiplication modules
Authors: Farshadifar Faranak
Published: January 2023

This paper deals with some results concerning finitely generated coreduced comultiplication modules over a commutative ring.
Aspects of Einstein’s general relativity: A classical deformation of Schwarzschild spacetime
Authors: Toghrai T. , Mansour N. , Daoudia A. K. , El Boukili A. , Sedra M. B.
Published: January 2023

In this work, we explore the Schwarzschild geometry in a spherically symmetric gravitational field. We build the non-commutative equations of motion with the aid of the Hamiltonian function and modified algebra. We then study the implications of the non-commutative geometry on the trajectory of a light ray, traveling in null and particles geodesics. Also, we interpret the effect of non-commutativity in both the bending of light and the perihelion advance of Mercury. Therefore, introducing a non-commutative parameter provides a slight correction to the results of general relativity.
Consciousness as a Trigger to Adaptation
Authors: Cossentino Massimo , Sabatucci Luca , Mylopoulos John
Published: January 2023

Consciousness refers to mental states of a cognitive agent that make it aware of elements of its environment and its own state. Phenomena of consciousness have been studied in Philosophy, Psychology and Cognitive Science. With the advent of Artificial Intelligence (AI), the study of consciousness has broadened to include questions such as “When is an AI system conscious?”, “What role does consciousness play in the cognitive architecture of an AI system?”. This paper proposes a cognitive architecture that attempts to answer such questions and is an extension of proposals for practical reasoning, founded on the notion of epistemic goals, goals where the desired state-of-affairs is knowledge of something in the environment or within the agent itself. The proposal is illustrated with an example involving an autonomous vehicle.
Deep Adaptive Graph Clustering via von Mises-Fisher Distributions
Authors: Wang Pengfei , Wu Daqing , Chen Chong , Liu Kunpeng , Fu Yanjie , Huang Jianqiang , Zhou Yuanchun , Zhan Jianfeng , Hua Xiansheng
Published: January 2023

Graph clustering has been a hot research topic and is widely used in many fields, such as community detection in social networks. Lots of works combining auto-encoder and graph neural networks have been applied to clustering tasks by utilizing node attributes and graph structure. These works usually assumed the inherent parameters (i.e., size and variance) of different clusters in the latent embedding space are homogeneous, and hence the assigned probability is monotonous over the Euclidean distance between node embeddings and centroids. Unfortunately, this assumption usually does not hold since the size and concentration of different clusters can be quite different, which limits the clustering accuracy. In addition, the node embeddings in deep graph clustering methods are usually L2 normalized so that it lies on the surface of a unit hyper-sphere. To solve this problem, we proposed

D

eep

A

daptive

G

raph

C

lustering via von Mises-Fisher distributions, namely DAGC. DAGC assumes the node embeddings

H

can be drawn from a von Mises-Fisher distribution and each cluster
k
is associated with cluster inherent parameters

ρ

k

which includes cluster center
μ
and cluster cohesion degree κ. Then we adopt an EM-like approach (i.e., 𝒫(

H

|

ρ

) and 𝒫(

ρ

|

H

), respectively) to learn the embedding and cluster inherent parameters alternately. Specifically, with the node embeddings, we proposed to update the cluster centers in an attraction-repulsion manner to make the cluster centers more separable. And given the cluster inherent parameters, a likelihood-based loss is proposed to make node embeddings more concentrated around cluster centers. Thus, DAGC can simultaneously improve the intra-cluster compactness and inter-cluster heterogeneity. Finally, extensive experiments conducted on four benchmark datasets have demonstrated that the proposed DAGC consistently outperforms the state-of-the-art methods, especially on imbalanced datasets.
Feature Fusion Pyramid Network for End-to-End Scene Text Detection
Authors: Wu Yirui , Zhang Lilai , Li Hao , Zhang Yunfei , Wan Shaohua
Published: January 2023

How to properly involve text characteristics like multi-scale, arbitrary direction, length aspect ratio, into detection network design has become a hot topic in computer vision.
Feature Pyramid Network (FPN)
is a typical method to achieve robust text detection, where its low-level and high-level feature map retains spatial structure and global semantic information, respectively. However, its strict hierarchical structure fails to fuse low-level and high-level information to improve the distinguish ability of feature map. To address this problem, we propose a novel feature fusion pyramid network for end-to-end scene text detection by fusing multi-modal information. By dividing pyramid structure into high-level and low-level layers, channel and spatial attention modules are adopted to enhance high-level and low-level feature representation by encoding channel and spatial-wise context information, respectively. In order to reduce information loss by layer transmission, a special residual network is designed to achieve short-cut between high-level and low-level features, so as to realize multi-modal feature fusion. Experiments show the precision and recall of the proposed method on ICDAR2015, ICDAR2017-MLT, and MSRA-TD500 datasets reach 88.7%/82.1%, 77.0%/60.3%, and 85.3%/74.8%, respectively.
ATPP
: A Mobile App Prediction System Based on Deep Marked Temporal Point Processes
Authors: Yang Kang , Zhao Xi , Zou Jianhua , Du Wan
Published: January 2023

Predicting the next application (app) a user will open is essential for improving the user experience, e.g., app pre-loading and app recommendation. Unlike previous solutions that only predict which app the user will open, this article predicts both the next app and the time to open it. Time prediction is essential to avoid loading the next app too early and consuming unnecessary resources on smartphones. To predict the next app and open time jointly, we model the app usage sequence as a marked temporal point process (MTPP), whose conditional intensity function can capture the probability of a new app usage event. We develop a novel data-driven MTPP-based app prediction system, named ATPP (App Temporal Point Process), which adopts a recurrent neural network architecture to learn the MTPP conditional intensity function for app prediction. ATPP adopts a set of techniques to incorporate the unique features of app prediction in our RNN architecture, including learning the correlated usage behavior of different apps by representation learning, the temporal dependency of app usage by an attention mechanism, and the location-related app usage behavior by feature extraction and fusion layer. We conduct extensive experiments on a large-scale anonymized app usage dataset to verify ATPP’s effectiveness.
Report on the 12th International Workshop on Location and the Web (LocWeb 2022) at WWW 2022
Authors: Ahlers Dirk , Wilde Erik
Published: January 2023

LocWeb 2022 was held as an online workshop at The Web Conference WWW 2022. It was the twelfth of its series and the third one in an online setting. LocWeb 2022 explored the intersection of location-based analytics and Web architecture with a focus on on Web-scale services and location-aware information access. Location and its integration continue to provide challenging research questions. It additionally has a role in large systems of social and societal importance and is reflected in various ways in research approaches or in the use of systems.

Date:
26 April, 2022.

Website:
https://dhere.de/locweb/locweb2022/.
Report on the 6th International and Interdisciplinary Perspectives on Children & Recommender and Information Retrieval Systems (KidRec 2022) Workshop at ACM IDC 2022
Authors: Huibers Theo , Pera Maria Soledad , Murgia Emiliana , Landoni Monica , Fails Jerry Alan
Published: January 2023

We summarize the outcomes of the most recent KidRec Workshop (June 2022), which was held for the first time in a hybrid, synchronous mode. The focus of the workshop was to understand the impact of the COVID-19 era on the design, development, and evaluation of Information Retrieval Systems for which children are the primary stakeholders.

Date:
June 27, 2022.

Website:
https://kidrec.github.io/.