bluuebunny/crossref_metadata_2025 huggingface dataset:
Domains of ordering
Authors: Branan Kenyon
Published: December 2022

This paper develops a theory of linearization in which the LCA (Kayne, The antisymmetry of syntax, MIT Press, 1994) linearizes one portion of the clause, with a secondary algorithm linearizing a second portion of the clause when the LCA-determined order of terminals would conflict with other principles of the morphosyntax. The empirical focus is the correspondence or lack thereof between scope and word order in Japanese, Tagalog, and English: for one portion of the clause, there is a strict correspondence between the linear order of certain elements and their scope, while for another portion of the clause, this correspondence breaks down. Given a theory of LCA-determined linear order and clause structure following Biberauer [Linguist Inq 45(2):169–225, 2014], alongside a restricted theory of reconstruction, we show that the portion of the clause for which the LCA determines linear order is that which displays the strict correspondence between linear order and scope, while that for which the secondary algorithm determines linear order is where the correspondence between scope and linear order breaks down.
Evaluation of the effect of eltrombopag therapy on the platelet collagen receptor glycoprotein VI (GPVI) expression and soluble GPVI levels in young patients with immune thrombocytopenia
Authors: Tantawy Azza Abdel Gawad , Elsherif Nayera Hazaa Khalil , Ebeid Fatma Soliman , El-Gamal Rasha Abd El-Rahman , Ismail Eman Abdel Rahman , Kenny Mahmoud A. , morcos Michael Botros Elkes
Published: December 2022

Background

Platelet glycoprotein VI (GPVI) receptor is essential for platelet adhesion and aggregation. Eltrombopag is as an effective treatment for chronic immune thrombocytopenia (ITP); yet, its effect on platelet function is not fully characterized.

Aim

This prospective study investigated the effect of eltrombopag therapy on platelet function through assessment of GPVI receptor expression and soluble GPVI levels among pediatric patients with persistent or chronic ITP.

Methods

Thirty-six children and adolescents with persistent or chronic ITP were divided equally into two groups either to receive eltrombopag therapy or the standard of care. All patients were followed-up for 12 months with assessment of bleeding score and complete blood count (CBC). Evaluation of GPVI expression using flow cytometry and measurement of its soluble form by ELISA was done at baseline and at 6 months.

Results

ITP patients on eltrombopag had significantly lower bleeding score after 6 months of therapy while the quality of life has significantly improved. Platelet count was significantly increased throughout the study. GPVI expression by flow cytometry and soluble GPVI levels were significantly increased after eltrombopag therapy. After 12 months, ITP patients on eltrombopag were able to maintain a good quality of life and low bleeding score.

Conclusion

Our data suggest that eltrombopag, through its effect on the GPVI receptor expression and its soluble form, might reduce bleeding manifestations and improve the quality of life of chronic and persistent ITP children independent of its effect on the platelet count.
Revisiting Consistency Regularization for Semi-Supervised Learning
Authors: Fan Yue , Kukleva Anna , Dai Dengxin , Schiele Bernt
Published: December 2022

Consistency regularization is one of the most widely-used techniques for semi-supervised learning (SSL). Generally, the aim is to train a model that is invariant to various data augmentations. In this paper, we revisit this idea and find that enforcing invariance by decreasing distances between features from differently augmented images leads to improved performance. However, encouraging equivariance instead, by increasing the feature distance, further improves performance. To this end, we propose an improved consistency regularization framework by a simple yet effective technique, FeatDistLoss, that imposes consistency and equivariance on the classifier and the feature level, respectively. Experimental results show that our model defines a new state of the art across a variety of standard semi-supervised learning benchmarks as well as imbalanced semi-supervised learning benchmarks. Particularly, we outperform previous work by a significant margin in low data regimes and at large imbalance ratios. Extensive experiments are conducted to analyze the method, and the code will be published.
The political power of internet business: A comprehensive dataset of Telecommunications Ownership and Control (TOSCO)
Authors: Freyburg Tina , Garbe Lisa , Wavre Véronique
Published: December 2022

The ‘internet’—familiar shorthand for information and communication technologies (ICT)—is built on a physical infrastructure owned by a variety of state and private actors, foreign and domestic, with multiple interests. It has not only driven change on a global scale; its spread also had a profound impact on the social sciences. However, our understanding of how its architecture, and especially its owners, influence its political and economic impact is still in its infancy. This paper presents the Telecommunications Ownership and Control (TOSCO) dataset on ownership of internet service providers (ISPs) that allows to recognize the internet as strategically built and used by governments and corporations. Along with a thorough discussion of the conceptualization and operationalization of ownership as a variable, the TOSCO dataset enables comparative large-Nanalysis of the determinants and effects of varying ownership structures and identities in the transforming context of 49 African countries, 2000–2019. We demonstrate its usefulness with descriptive statistics and regression analyses using replication data from research on the internet’s democratizing and corruption-reducing effects. In allowing for a more realistic account, TOSCO supports scholars and practitioners concerned with the determinants and effects of internet service provision, use and control in Africa and beyond.
Intussusception After Roux-en-Y Gastric Bypass: Correlation Between Radiological and Operative Findings
Authors: Zaigham Hassan , Ekelund Mikael , Lee Daisy , Ekberg Olle , Regnér Sara
Published: December 2022

Introduction

Intussusceptions diagnosed on computed tomography (CT) scans in Roux-en-Y gastric bypass (RYGB) patients could cause serious small bowel obstruction (SBO) or be an incidental finding. The objective of this study was to correlate radiological findings with clinical outcomes to differentiate intussusceptions requiring emergent surgery for SBO.

Methods

A search for acute abdominal CT scans reporting intussusceptions in RYGB patients between 2012 and 2019 at Skåne University Hospital, Malmö, Sweden, retrieved 35 scans. These were independently reevaluated by two radiologists for the length and location of the intussusception, whether oral contrast passed through, proximal bowel dilatation, and signs of internal herniation. Clinical outcome in terms of emergency surgery and the diagnosis was determined through chart review.

Results

Out of 35 acute patients, 9 patients required emergency surgery within 24 h. Intussusception caused SBO in five patients, and one patient had an internal herniation, while three patients had unremarkable findings. Eight patients were evaluated for intermittent pain with five unremarkable laparoscopies, while 18 patients had intussusceptions as incidental findings. Intussusception length on CT as measured by radiologists O.E. and D.L. predicted acute bowel obstruction (p = .014 and p < .001). A 100 mm threshold predicted bowel obstruction with a sensitivity of 80% and 100% and a specificity of 93% and 86% by radiologists O.E. and D.L., respectively. Proximal bowel dilatation predicted SBOs of any cause as well as SBO caused by an intussusception (all p < .05).

Conclusion

Intussusception length > 100 mm on CT in RYGB patients is an easy and valuable sign indicating SBO that may require emergent surgery.

Graphical Abstract
Virtual structure-based docking and molecular dynamics of FDA-approved drugs for the identification of potential IKKB inhibitors possessing dopaminergic activity in Alzheimer’s disease
Authors: Gurram Prasada Chowdari , Satarker Sairaj , Nassar Ajmal , Mudgal Jayesh , Nampoothiri Madhavan
Published: December 2022

In Alzheimer's disease (AD), neuroinflammation is detrimental in causing neurodegeneration. In the central nervous system, inhibitor of nuclear factor kappa B kinase subunit beta (IKK2/IKKβ/IKKB/IKBKB) signaling is linked to neuroinflammation-mediated learning and memory deficits through canonical pathway, while dopamine agonists have been known to reverse such effects. Our in silico analysis predicted if dopaminergic agonists could have IKKB inhibitory actions, to ameliorate neuroinflammation-associated learning and memory deficits. Here, the FDA-approved Zinc 15 database was screened with IKKB (PDB ID 4KIK). Potential molecules with IKKB inhibition were identified through docking, which also possessed dopaminergic activity. Molecular mechanics—generalized Born and surface area (MMGBSA), induced fit docking (IFD) and molecular dynamic (MD) studies of 100 ns simulation time were done. Apomorphine and rotigotine showed greater non-bonding and bonding interactions with amino acids of IKKB as compared to Aripiprazole in docking studies. The IFD studies predicted improved interactions with IKKB. MMGBSA scores indicated that the complex binding free energies were favorable, and MD studies showed an acceptable root mean square deviation between protein and ligands. The protein–ligand interactions showed hydrogen bonds, water and salt bridges necessary for IKKB inhibition, as well as solvent system stability. On the protein–ligand contact map, the varying color band intensities represented the ligand’s ability to bind with amino acids. Dopamine agonists apomorphine, rotigotine, and aripiprazole were predicted to bind and inhibit IKKB in in silico system.

Graphical Abstract
Social interactions in the metaverse: Framework, initial evidence, and research roadmap
Authors: Hennig-Thurau Thorsten , Aliman Dorothea N. , Herting Alina M. , Cziehso Gerrit P. , Linder Marc , Kübler Raoul V.
Published: December 2022

Real-time multisensory social interactions (RMSIs) between people are at the center of the metaverse, a new computer-mediated environment consisting of virtual “worlds” in which people act and communicate with each other in real-time via avatars. This research investigates whether RMSIs in the metaverse, when accessed through virtual-reality headsets, can generate more value for interactants in terms of interaction outcomes (interaction performance, evaluation, and emotional responses) than those on the two-dimensional (2D) internet (e.g., Zoom meetings). We combine theoretical logic with extensive field-experimental probes (which support the value-creation potential of the virtual-reality metaverse, but contradict itsgeneralsuperiority) to develop and refine a framework of how RMSIs in the metaverse versus on the 2D internet affect interaction outcomes through interactants’ intermediate conditions. The refined framework serves as foundation for a research roadmap on RMSIs in the metaverse, in which we highlight the critical roles of specific mediating and moderating forces along with interactional formats for future investigations of the metaverse and also name key business areas and societal challenges that deserve scholarly attention.
Does Social Comparison and Facebook Addiction Lead to Negative Mental Health? A Pilot Study of Emerging Adults Using Structural Equation Modelling
Authors: Casingcasing Maria Lourdes Salaum , Nuyens Filip M. , Griffiths Mark D. , Park Miriam S.
Published: December 2022

Recent research has observed that among the ever-increasing young users of social networking sites (e.g., Facebook), some present problematic use similar to other behavioral addictions. While regular use of Facebook is not systematically associated with mental health disorders, its addictive use has been consistently associated with higher level of depression and loneliness. Therefore, further research is needed in studying the separate impacts of regular and addictive Facebook use on young adults’ lives. The present study explored the role of Facebook addiction and social comparison on mental health and types of social networking sites (SNSs) usage (i.e., active versus passive usage), hypothesizing that addiction and social comparison will predict negative mental health outcomes and higher SNS usage. The study sample comprised 280 students at a British university. The data were analyzed using structural equation modelling to test for the significance of the relationships between these variables as well as the appropriateness of the overall hypothesised model. Results demonstrated that Facebook addiction significantly predicted depression, loneliness, and both active and passive SNS usage, and social comparison significantly predicted the level of depression significantly. The overall model also demonstrated a good fit which indicates that the hypothesized associations between the variables were strong. It is argued that the association between Facebook addiction and mental health could be a vicious cycle because no causation direction can be excluded. The implications of the study findings and future research directions are also discussed.
The Circular Experimentation Workbench – a Lean and Effectual Process
Authors: Bocken Nancy , Coffay Matthew
Published: December 2022

Circular economy has become an important goal for companies to address climate change and pressing resource issues. Yet, the process of circular business experimentation is highly uncertain. While the lean startup has been applied to the circular experimentation process, the concept of effectuation has only been used to a limited extent, despite its potential. We investigate the following question: To what extent can lean startup and effectual thinking be combined to support the circular business model innovation process? We conducted 10 workshops where we combined these concepts with circular economy thinking. A novel process – the Circular Experimentation Workbench – was developed and evaluated to inspire participants to start experimenting with the circular economy. We found that lean startup and effectuation principles are highly complementary. Effectual questions can support the development of successful circular experiments. Our results were potentially limited by constraints related to the workshop format and action research method. Future research could build on the complementary perspectives of lean startup and effectuation to help accelerate the circular economy transition.
The distribution of lichens and mosses at Edward VII Peninsula, Marie Byrd Land, Antarctica
Authors: Ochyra Ryszard , Øvstedal Dag O. , Broady Paul A.
Published: December 2022

This is the first detailed study of the distribution of mosses and lichens at Alexandra Mountains and Rockefeller Mountains, Edward VII Peninsula, Antarctica. A total of 418 samples was collected on 21 nunataks in the summer of 1987–1988. Lichens included 44 taxa, bringing the total known from Edward VII Peninsula to 50. Ten lichen species were new records for the Continental Antarctic zone, whilst only six were endemic to that zone. There were six species and one variety of moss, bringing the total known from Edward VII Peninsula to seven species and one variety. These included the first record of a species of Orthotrichum in Continental Antarctica. Two other species and a variety were new records for Edward VII Peninsula. Overall, the flora was species rich for a Continental Antarctic region and was comparable with the species-rich sites of Botany Bay and Kar Plateau, which are at approximately the same latitude (77°S) in southern Victoria Land. This rich flora was probably supported by a reliable summer water supply from melting snowfall and snowdrift and by the range of microenvironments at nunataks with different degrees of nutrient enrichment from nesting birds.
Narrating the Black Body in “Under the Skin” - Review of Linda Villarosa, 2022. Under the Skin: The Hidden Toll of Racism on American Lives and on the Health of Our Nation. Doubleday
Authors: Ray Keisha
Published: December 2022

Poor health is not inherently a part of Black Americans’ bodies; poor health is not in our DNA. But as Linda Villarosa says in Under the Skin “something about being Black has led to the documented poor health of Black Americans.”1 Like many other scholars of Black health have said, Villarosa proposes, and evidence supports, that “the something is racism.”2 Villarosa attributes Black people’s generally inferior health outcomes in areas like pregnancy and birth, pain care, and cardiology to racism and not a lack of social resources such as money, education, and access to healthcare. Although not always explicitly stated in her text, the stories Villarosa uses to illustrate racism’s effects on health also demonstrate racism’s influence on who has access to the social resources that are needed to maintain health and treat illnesses. Villarosa is right that more education and more income cannot de facto give Black people better health. At the same time, we cannot ignore that although racism is the force, education, money, housing, and access to healthcare are the means by which racism adversely affects health. Education and other social goods only fail to confer better health to Black people because racism serves as a roadblock.
Coupled Urban Change and Natural Hazard Consequence Model for Community Resilience Planning
Authors: Sanderson Dylan R. , Cox Daniel T. , Amini Mehrshad , Barbosa Andre R.
Published: December 2022

This paper presents a new coupled urban change and hazard consequence model that considers population growth, a changing built environment, natural hazard mitigation planning, and future acute hazards. Urban change is simulated as an agent‐based land market with six agent types and six land use types. Agents compete for parcels with successful bids leading to changes in both urban land use—affecting where agents are located—and structural properties of buildings—affecting the building's ability to resist damage to natural hazards. IN‐CORE, an open‐source community resilience model, is used to compute damages to the built environment. The coupled model operates under constraints imposed by planning policies defined at the start of a simulation. The model is applied to Seaside, Oregon, a coastal community in the North American Pacific Northwest subject to seismic‐tsunami hazards emanating from the Cascadia Subduction Zone. Ten planning scenarios are considered including caps on the number of vacation homes, relocating community assets, limiting new development, and mandatory seismic retrofits. By applying this coupled model to the testbed community, we show that: (a) placing a cap on the number of vacation homes results in more visitors in damaged buildings, (b) that mandatory seismic retrofits do not reduce the number of people in damaged buildings when considering population growth, (c) polices diverge beyond year 10 in the model, indicating that many policies take time to realize their implications, and (d) the most effective policies were those that incorporated elements of both urban planning and enforced building codes.
An Ionospheric Conductance Gradient Driver for Subauroral Picket Fence Visible Signatures Near STEVE Events
Authors: Lynch Kristina A. , McManus Edward , Gutow Joshua , Burleigh Meghan , Zettergren Matt
Published: December 2022

Reported observations of picket fence signatures associated with subauroral Strong Thermal Emission Velocity Enhancement (STEVE) emission events look strikingly similar to rayed auroral curtains. Rayed auroral curtains are often the visible signatures of tearing‐mode‐unstable current sheets with precipitating auroral electron current carriers. Picket fence signatures are not located where auroral precipitation explanations apply, and are closely collocated with STEVE emission events. A similar tearing‐mode‐instability explanation can be invoked with a different source for the originating field‐aligned current (FAC) sheet. In this explanation, the FAC sheet is sourced by ionospheric conductance gradients adjacent to the localized flows of the STEVE event. Geospace Environment Model of Ion‐Neutral Interactions (GEMINI) models of the 3D ionosphere near counterstreaming STEVE‐associated flow structures show the development of sufficiently strong current sheets for tearing mode instabilities to take hold. These instabilities can locally accelerate ambient ionospheric thermal electrons to the few eV needed for the reported observed green picket fence signatures.
Probabilistic Prediction of ENSO Over the Past 137 Years Using the CESM Model
Authors: Liu Ting , Tang Youmin , Wang Chunzai , Song Xunshu
Published: December 2022

In this study, we investigate probabilistic predictability for the El Niño‐Southern Oscillation (ENSO) by assessing both actual prediction skill and potential predictability using a long‐term retrospective forecast from a complicated coupled general circulation model (CGCM). Our results indicate that above and below normal events are more predictable than neutral events. The probabilistic prediction skill suffers prominent “Spring Predictability Barrier” and undergoes notable interdecadal variation. For the above and below normal events, the lowest probabilistic prediction skills appear during 1920–1940 and the higher prediction skills occur after the 1960s. The seasonal and interdecadal variability of the probabilistic prediction skill stems mainly from the variability of the ENSO signal intensity. There is much room for improvement for the predictability of all three categories of ENSO events. At least an additional 1 or 2 months of skillful probabilistic predictions can be expected to progress in the future. To our knowledge, this is the first study to use a CGCM to evaluate probabilistic predictability for ENSO at various time scales.
Soliton formation and spectral translation into visible on CMOS-compatible 4H-silicon-carbide-on-insulator platform
Authors: Wang Chengli , Li Jin , Yi Ailun , Fang Zhiwei , Zhou Liping , Wang Zhe , Niu Rui , Chen Yang , Zhang Jiaxiang , Cheng Ya , Liu Junqiu , Dong Chun-Hua , Ou Xin
Published: December 2022

Recent advancements in integrated soliton microcombs open the route to a wide range of chip-based communication, sensing, and metrology applications. The technology translation from laboratory demonstrations to real-world applications requires the fabrication process of photonics chips to be fully CMOS-compatible, such that the manufacturing can take advantage of the ongoing evolution of semiconductor technology at reduced cost and with high volume. Silicon nitride has become the leading CMOS platform for integrated soliton devices, however, it is an insulator and lacks intrinsic second-order nonlinearity for electro-optic modulation. Other materials have emerged such as AlN, LiNbO3, AlGaAs and GaP that exhibit simultaneous second- and third-order nonlinearities. Here, we show that silicon carbide (SiC) -- already commercially deployed in nearly ubiquitous electrical power devices such as RF electronics, MOSFET, and MEMS due to its wide bandgap properties, excellent mechanical properties, piezoelectricity and chemical inertia -- is a new competitive CMOS-compatible platform for nonlinear photonics. High-quality-factor microresonators (Q = 4 × 106) are fabricated on 4H-SiC-on-insulator thin films, where a single soliton microcomb is generated. In addition, we observe wide spectral translation of chaotic microcombs from near-infrared to visible due to the second-order nonlinearity of SiC. Our work highlights the prospects of SiC for future low-loss integrated nonlinear and quantum photonics that could harness electro-opto-mechanical interactions on a monolithic platform.
Characterization of mutant versions of the R-RAS2/TC21 GTPase found in tumors
Authors: Clavaín Laura , Fernández-Pisonero Isabel , Movilla Nieves , Lorenzo-Martín L. Francisco , Nieto Blanca , Abad Antonio , García-Navas Rósula , Llorente-González Clara , Sánchez-Martín Manuel , Vicente-Manzanares Miguel , Santos Eugenio , Alarcón Balbino , García-Aznar José M. , Dosil Mercedes , Bustelo Xosé R.
Published: December 2022

The R-RAS2 GTP hydrolase (GTPase) (also known as TC21) has been traditionally considered quite similar to classical RAS proteins at the regulatory and signaling levels. Recently, a long-tail hotspot mutation targeting the R-RAS2/TC21 Gln72 residue (Q72L) was identified as a potent oncogenic driver. Additional point mutations were also found in other tumors at low frequencies. Despite this, little information is available regarding the transforming role of these mutant versions and their relevance for the tumorigenic properties of already-transformed cancer cells. Here, we report that many of the RRAS2 mutations found in human cancers are highly transforming when expressed in immortalized cell lines. Moreover, the expression of endogenous R-RAS2Q72L is important for maintaining optimal levels of PI3K and ERK activities as well as for the adhesion, invasiveness, proliferation, and mitochondrial respiration of ovarian and breast cancer cell lines. Endogenous R-RAS2Q72L also regulates gene expression programs linked to both cell adhesion and inflammatory/immune-related responses. Endogenous R-RAS2Q72L is also quite relevant for the in vivo tumorigenic activity of these cells. This dependency is observed even though these cancer cell lines bear concurrent gain-of-function mutations in genes encoding RAS signaling elements. Finally, we show that endogenous R-RAS2, unlike the case of classical RAS proteins, specifically localizes in focal adhesions. Collectively, these results indicate that gain-of-function mutations of R-RAS2/TC21 play roles in tumor initiation and maintenance that are not fully redundant with those regulated by classical RAS oncoproteins.
Potential of TCR sequencing in graft-versus-host disease
Authors: Goel Manisha , Eugster Anne , Schetelig Johannes , Bonifacio Ezio , Bornhäuser Martin , Link-Rachner Cornelia S.
Published: December 2022

Graft-versus-host disease (GvHD) remains one of the major complications following allogeneic haematopoietic stem cell transplantation (allo-HSCT). GvHD can occur in almost every tissue, with the skin, liver, and intestines being the mainly affected organs. T cells are implicated in initiating GvHD. T cells identify a broad range of antigens and mediate the immune response through receptors on their surfaces (T cell receptors, TCRs). The composition of TCRs within a T cell population defines the TCR repertoire of an individual, and this repertoire represents exposure to self and non-self proteins. Monitoring the changes in the TCR repertoire using TCR sequencing can provide an indication of the dynamics of a T cell population. Monitoring the frequency and specificities of specific TCR clonotypes longitudinally in different conditions and specimens (peripheral blood, GvHD-affected tissue samples) can provide insights into factors modulating immune reactions following allogeneic transplantation and will help to understand the underlying mechanisms mediating GvHD. This review provides insights into current studies of the TCR repertoire in GvHD and potential future clinical implications of TCR sequencing.
A nearby long gamma-ray burst from a merger of compact objects
Authors: Troja E. , Fryer C. L. , O’Connor B. , Ryan G. , Dichiara S. , Kumar A. , Ito N. , Gupta R. , Wollaeger R. T. , Norris J. P. , Kawai N. , Butler N. R. , Aryan A. , Misra K. , Hosokawa R. , Murata K. L. , Niwano M. , Pandey S. B. , Kutyrev A. , van Eerten H. J. , Chase E. A. , Hu Y.-D. , Caballero-Garcia M. D. , Castro-Tirado A. J.
Published: December 2022

Gamma-ray bursts (GRBs) are flashes of high-energy radiation arising from energetic cosmic explosions. Bursts of long (greater than two seconds) duration are produced by the core-collapse of massive stars1, and those of short (less than two seconds) duration by the merger of compact objects, such as two neutron stars2. A third class of events with hybrid high-energy properties was identified3, but never conclusively linked to a stellar progenitor. The lack of bright supernovae rules out typical core-collapse explosions4–6, but their distance scales prevent sensitive searches for direct signatures of a progenitor system. Only tentative evidence for a kilonova has been presented7,8. Here we report observations of the exceptionally bright GRB 211211A, which classify it as a hybrid event and constrain its distance scale to only 346 megaparsecs. Our measurements indicate that its lower-energy (from ultraviolet to near-infrared) counterpart is powered by a luminous (approximately 1042 erg per second) kilonova possibly formed in the ejecta of a compact object merger.
A plant-derived natural photosynthetic system for improving cell anabolism
Authors: Chen Pengfei , Liu Xin , Gu Chenhui , Zhong Peiyu , Song Nan , Li Mobai , Dai Zhanqiu , Fang Xiangqian , Liu Zhaoming , Zhang Jianfeng , Tang Ruikang , Fan Shunwu , Lin Xianfeng
Published: December 2022

Insufficient intracellular anabolism is a crucial factor involved in many pathological processes in the body1,2. The anabolism of intracellular substances requires the consumption of sufficient intracellular energy and the production of reducing equivalents. ATP acts as an ‘energy currency’ for biological processes in cells3,4, and the reduced form of NADPH is a key electron donor that provides reducing power for anabolism5. Under pathological conditions, it is difficult to correct impaired anabolism and to increase insufficient levels of ATP and NADPH to optimum concentrations1,4,6–8. Here we develop an independent and controllable nanosized plant-derived photosynthetic system based on nanothylakoid units (NTUs). To enable cross-species applications, we use a specific mature cell membrane (the chondrocyte membrane (CM)) for camouflage encapsulation. As proof of concept, we demonstrate that these CM-NTUs enter chondrocytes through membrane fusion, avoid lysosome degradation and achieve rapid penetration. Moreover, the CM-NTUs increase intracellular ATP and NADPH levels in situ following exposure to light and improve anabolism in degenerated chondrocytes. They can also systemically correct energy imbalance and restore cellular metabolism to improve cartilage homeostasis and protect against pathological progression of osteoarthritis. Our therapeutic strategy for degenerative diseases is based on a natural photosynthetic system that can controllably enhance cell anabolism by independently providing key energy and metabolic carriers. This study also provides an enhanced understanding of the preparation and application of bioorganisms and composite biomaterials for the treatment of disease.
Close relatives of MERS-CoV in bats use ACE2 as their functional receptors
Authors: Xiong Qing , Cao Lei , Ma Chengbao , Tortorici M. Alejandra , Liu Chen , Si Junyu , Liu Peng , Gu Mengxue , Walls Alexandra C. , Wang Chunli , Shi Lulu , Tong Fei , Huang Meiling , Li Jing , Zhao Chufeng , Shen Chao , Chen Yu , Zhao Huabin , Lan Ke , Corti Davide , Veesler David , Wang Xiangxi , Yan Huan
Published: December 2022

Middle East respiratory syndrome coronavirus (MERS-CoV) and several bat coronaviruses use dipeptidyl peptidase-4 (DPP4) as an entry receptor1–4. However, the receptor for NeoCoV—the closest known MERS-CoV relative found in bats—remains unclear5. Here, using a pseudotype virus entry assay, we found that NeoCoV and its close relative, PDF-2180, can efficiently bind to and use specific bat angiotensin-converting enzyme 2 (ACE2) orthologues and, less favourably, human ACE2 as entry receptors through their receptor-binding domains (RBDs) on the spike (S) proteins. Cryo-electron microscopy analysis revealed an RBD–ACE2 binding interface involving protein–glycan interactions, distinct from those of other known ACE2-using coronaviruses. We identified residues 337–342 of human ACE2 as a molecular determinant restricting NeoCoV entry, whereas a NeoCoV S pseudotyped virus containing a T510F RBD mutation efficiently entered cells expressing human ACE2. Although polyclonal SARS-CoV-2 antibodies or MERS-CoV RBD-specific nanobodies did not cross-neutralize NeoCoV or PDF-2180, an ACE2-specific antibody and two broadly neutralizing betacoronavirus antibodies efficiently inhibited these two pseudotyped viruses. We describe MERS-CoV-related viruses that use ACE2 as an entry receptor, underscoring a promiscuity of receptor use and a potential zoonotic threat.
Epidemiological characteristics and quarantine assessment of imported international COVID-19 cases, March to December 2020, Chengdu, China
Authors: Zhang Wenqiang , Yue Yong , Hu Min , Du Changhui , Wang Cheng , Tuo Xiaoli , Jiang Xiaoman , Fan Shuangfeng , Chen Zhenhua , Chen Heng , Liang Xian , Luan Rongsheng
Published: December 2022

International flights have accelerated the global spread of Coronavirus Disease 2019 (COVID-19). Determination of the optimal quarantine period for international travelers is crucial to prevent the local spread caused by imported COVID-19 cases. We performed a retrospective epidemiological study using 491 imported COVID-19 cases in Chengdu, China, to describe the characteristic of the cases and estimate the time from arrival to confirmation for international travelers using nonparametric survival methods. Among the 491 imported COVID-19 cases, 194 (39.5%) were asymptomatic infections. The mean age was 35.6 years (SD = 12.1 years) and 83.3% were men. The majority (74.1%) were screened positive for SARS-CoV-2, conducted by Chengdu Customs District, the People’s Republic of China. Asymptomatic cases were younger than presymptomatic or symptomatic cases (P < 0.01). The daily number of imported COVID-19 cases displayed jagged changes. 95% of COVID-19 cases were confirmed by PT-PCR within 14 days (95% CI 13–15) after arriving in Chengdu. A 14-day quarantine measure can ensure non-infection among international travelers with a 95% probability. Policymakers may consider an extension of the quarantine period to minimize the negative consequences of the COVID-19 confinement and prevent the international spread of COVID-19. Nevertheless, the government should consider the balance between COVID-19 and socioeconomic development, which may cause more serious social and health crises.
Magnon mode transition in real space
Authors: Iida Kazuki , Kodama Katsuaki , Inamura Yasuhiro , Nakamura Mitsutaka , Chang Lieh-Jeng , Shamoto Shin-ichi
Published: December 2022

Spin excitation of an ilmenite FeTiO3 powder sample is measured by time-of-flight inelastic neutron scattering. The dynamic magnetic pair-density function DM(r, E) is obtained from the dynamic magnetic structure factor SM(Q, E) by the Fourier transformation. The real space spin dynamics exhibit magnon mode transitions in the spin–spin correlation with increasing energy from no-phase-shift to π-phase-shift. The mode transition is well reproduced by a simulation using the reciprocal space magnon dispersions. This analysis provides a novel opportunity to study the local spin dynamics of various magnetic systems.
Comparative study on mineral dissemination characteristics of phosphate ores by X-ray micro computed tomography and BGRIMM Process Mineralogy Analysis
Authors: Yang Jun , Qiu Yueqin
Published: December 2022

Because the 2D (two-dimensional) characterization analysis of mineral dissemination characteristics requires complex sample preparation, destroys the sample structure, and produces stereological errors, a new method for analyzing mineral dissemination characteristics in the ore in situ, non-destructively and stereoscopically, is required. The research object in this paper is a medium–low grade calcareous-magnesium phosphate ore in Guizhou, and XMT (X-ray microtomography) and BPMA (BGRIMM Process Mineralogy Analysis) are used to conduct a comparative study of 3D (three-dimensional) and 2D analysis of mineral dissemination characteristics. The results of grain size analysis show that fluorapatite and gangue minerals belong to equal-grain dissemination, with very little fine particle content. The results of 2D analysis are finer than those of 3D analysis, but 3D non-destructive analysis produces more accurate results. In addition to particle size analysis, the binding relationship between minerals analysis results show that, when compared to the 2D distribution of minerals, 3D visualization can more intuitively and stereoscopically observe the distribution of minerals inside the ore and the intergrowth relationship between minerals. Through comparative study, it can be seen that the application of 3D visualization has developed a new method for the study of mineral dissemination characteristics, which makes up for the shortcomings of 2D analysis.
A detailed investigation of dielectric-modulated dual-gate TMD FET based label-free biosensor via analytical modelling
Authors: Kumari Monika , Singh Niraj Kumar , Sahoo Manodipan
Published: December 2022

In this work, an analytical model is developed for DM-DG-TMD-FET- based Biosensor including Fringing-field effects. The Analytical model has been developed for two different Device structures, namely Device structure-1 (without a gate above the nano-cavity) and Device structure-2 (with a gate above the nano-cavity) based on modulation of the dielectric constant of biomolecules in the nano-cavity region. The proposed model has been validated against both numerical quantum simulation results with the help of a few fitting parameters and it also agrees with the 2-dimensional numeric simulator SILVACO TCAD used in this work. The presence/absence of biomolecules has been detected by the metric of threshold voltage sensitivity $$S_{Vth}$$

S

Vth

and drain current $$I_{d}$$

I
d

for the neutral as well as charged biomolecules. Sensitivities of partially filled nano-cavities arising out of steric hindrance in both the biosensors are compared. Optimization of device dimensions has also been included in this work to enhance the sensitivity of the biosensors. It has been witnessed that the sensitivity of the proposed biosensor is $$\sim$$
∼
100% higher in Device structure-1 for neutral biomolecules with dielectric constant $$\kappa$$
κ
 = 12, when compared to Device structure-2 for fully filled cavities. Whereas for the charged biomolecules, Device structure-1 shows $$\sim$$
∼
50% enhanced sensitivity than Device structure-2 for $$N_{f}=-1\times 10^{-12}$$

N
f

=
-
1
×

10

-
12

$$\text{C}/\text{cm}^2$$

C
/

cm
2

. Device structure-1 demonstrates $$\sim$$
∼
120% higher sensitivity than Device structure-2 with partially filled cavities (i.e. 66% filled cavity). Finally, benchmarking of the proposed biosensor is presented with contemporary, state-of-the-art biosensors and it is highlighted that $$MoS_{2}$$

M
o

S
2

FET-based biosensor emerges with a superior sensitivity of $$S_{Vth}$$

S

Vth

 = 0.81 V for $$\kappa = 12$$

κ
=
12

.
Design of double functionalized carbon nanotube for amphotericin B and genetic material delivery
Authors: Yazdani Sara , Mozaffarian Mehrdad , Pazuki Gholamreza , Hadidi Naghmeh , Gallego Idoia , Puras Gustavo , Pedraz Jose Luis
Published: December 2022

In the present work, single wall carbon nanotubes (SWCNT) were successively functionalized with phospholipid DSPE-PEG carboxylic acid, and then, with ethylenediamine (EDA), to obtain double functionalized single wall carbon nanotube (DFSWCNT). Then, DFSWCNT was applied as a carrier for delivering amphotericin B (Amb) and EGFP plasmid. FSWCNT’s concentration obtained via UV–visible analysis was 0.99 mg/mL. The TGA analysis results provided the lost weights of DSPE-PEG-COOH, EDA, Amb and SWCNT impurities. XPS results showed that carbon atoms’ percentage decreased during the functionalization processes from 97.2% (SWCNT) to 76.4% (FSWCNT) and 69.9% (DFSWNCT). Additionally, the oxygen atoms’ percentage increased from 2.3% (SWCNT) to 21% and 22.5% for FSWCNT and DFSWCNT, respectively. New bonds such as C–N and N–C=O appeared in the synthesized nanocarrier. The IG/ID ratio in Raman analysis decreased from 7.15 (SWCNT) to 4.08 (FSWCNT). The amount of Amb released to phosphate buffer saline medium was about 33% at pH = 5.5 and 75% at pH = 7.4 after 48 h. CCK8 results confirmed that the toxicity of functionalized SWCNT had decreased. In a 2:1 ratio of DFSWCNT/EGFP plasmid, the cell viability (87%) and live transfected cells (56%) were at their maximum values. The results indicate that carbon nanotubes have the potential to be applied as drug/gene delivery systems with outstanding properties such as high loading capacity and easy penetration to cell membrane.
Power mean based image segmentation in the presence of noise
Authors: Rahman Afzal , Ali Haider , Badshah Noor , Zakarya Muhammad , Hussain Hameed , Rahman Izaz Ur , Ahmed Aftab , Haleem Muhammad
Published: December 2022

In image segmentation and in general in image processing, noise and outliers distort contained information posing in this way a great challenge for accurate image segmentation results. To ensure a correct image segmentation in presence of noise and outliers, it is necessary to identify the outliers and isolate them during a denoising pre-processing or impose suitable constraints into a segmentation framework. In this paper, we impose suitable removing outliers constraints supported by a well-designed theory in a variational framework for accurate image segmentation. We investigate a novel approach based on the power mean function equipped with a well established theoretical base. The power mean function has the capability to distinguishes between true image pixels and outliers and, therefore, is robust against outliers. To deploy the novel image data term and to guaranteed unique segmentation results, a fuzzy-membership function is employed in the proposed energy functional. Based on qualitative and quantitative extensive analysis on various standard data sets, it has been observed that the proposed model works well in images having multi-objects with high noise and in images with intensity inhomogeneity in contrast with the latest and state-of-the-art models.
A social media network analysis of trypophobia communication
Authors: Vargas Meza Xanat , Koyama Shinichi
Published: December 2022

Trypophobia has attracted scientific attention in recent years. Few related studies have recruited participants using online methods, and even less is known about health communication in an environment where trypophobia was first widely discussed (i.e., the Internet). This study describes communication patterns in a Facebook group for trypophobia by detecting frequent topics, top contributors, and their discourses. We identified key commenters and performed word frequency analysis, word co-occurrence analysis, topic modeling, and content analysis. Impactful users posted and replied more often when discussing peer-reviewed science. Triggering content was actively removed by the group administrators. A wide variety of triggers not discussed in trypophobia-related literature were frequently mentioned. However, there was a lack of discussion on peer-reviewed treatments. The combination of a few expert and many supportive amateur gatekeepers willing to understand trypophobia, along with active monitoring by administrators, might contribute to in-group trust and the sharing of peer-reviewed science by top users of the trypophobia Facebook group.
Hair follicle associated pluripotent (HAP) stem cells jump from transplanted whiskers to pelage follicles and stimulate hair growth
Authors: Obara Koya , Reynoso Jose , Hamada Yuko , Aoki Yusuke , Kubota Yutaro , Masaki Noriyuki , Amoh Yasuyuki , Hoffman Robert M.
Published: December 2022

Stimulation of hair growth in hair loss has been a difficult goal to achieve. Hair follicle-associated pluripotent (HAP) stem cells express nestin and have been shown to differentiate to multiple cell types including keratinocytes, neurons, beating cardiac muscles and numerous other cell types. HAP stem cells originate in the bulge area of the hair follicle and have been shown to migrate within and outside the hair follicle. In the present study, the upper part of vibrissa follicles from nestin-driven green-fluorescent protein (GFP) transgenic mice, containing GFP-expressing HAP stem cells, were transplanted in the dorsal area of athymic nude mice. Fluorescence microscopy and immunostaining showed the transplanted HAP stem cells jumped and targeted the bulge and hair bulb and other areas of the resident nude mouse pelage follicles where they differentiated to keratinocytes. These results indicate that transplanted nestin-GFP expressing HAP stem cells jumped from the upper part of the whisker follicles and targeted nude-mouse hair follicles, which are genetically deficient to grow normal hair shafts, and differentiated to keratinocytes to produce normal mature hair shafts. The resident nude-mouse pelage follicles targeted by jumping whisker HAP stem cells produced long hair shafts from numerous hair follicles for least 2 hair cycles during 36 days, demonstrations that HAP stem cells can stimulate hair growth. The present results for hair loss therapy are discussed.
Deep learning classification of urinary sediment crystals with optimal parameter tuning
Authors: Nagai Takahiro , Onodera Osamu , Okuda Shujiro
Published: December 2022

The examination of urinary sediment crystals, the sedimentary components of urine, is useful in screening tests, and is always performed in medical examinations. The examination of urinary sediment crystals is typically done by classifying them under a microscope. Although automated analyzers are commercially available, manual classification is required, which is time-consuming and varies depending on the technologist performing the test and the laboratory. A set of test images was created, consisting of training, validation, and test images. The training images were transformed and augmented using various methods. The test images were classified to determine the patterns that could be correctly classified. Convolutional neural networks were used for training. Furthermore, we also considered the case where the crystal subcategories were not treated as separate. Learning with all parameters except the random cropping parameter showed the highest accuracy value. Treating the subcategories together or separately did not seem to affect the accuracy value. The accuracy of the best pattern was 0.918. When matched to a real-world case, the percentage of correct answers was 88%. Although the number of images was limited, good results were obtained in the classification of crystal images with optimal parameter tuning. The parameter optimization performed in this study can be used as a reference for future studies, with the goal of image classification by deep learning in clinical practice.