bluuebunny/crossref_metadata_2025_split huggingface dataset:
Uterine extracellular vesicles as multi-signal messengers during maternal recognition of pregnancy in the mare
Authors: Rudolf Vegas Alba , Hamdi Meriem , Podico Giorgia , Bollwein Heinrich , Fröhlich Thomas , Canisso Igor F. , Bauersachs Stefan , Almiñana Carmen 
Published: September 2022

AbstractIn contrast to other domestic mammals, the embryo-derived signal(s) leading to maternal recognition of pregnancy (MRP) are still unknow in the mare. We hypothesize that these embryonic signals could be packed into uterine extracellular vesicles (uEVs), acting as multi-signal messengers between the conceptus and the maternal tract, and contributing to MRP. To unveil these signals, the RNA and protein cargos of uEVs isolated from uterine lavages collected from pregnant mares (P; day 10, 11, 12 and 13 after ovulation) and cyclic control mares (C; day 10 and 13 after ovulation) were analyzed. Our results showed a fine-tuned regulation of the uEV cargo (RNAs and proteins), by the day of pregnancy, the estrous cycle, and even the size of the embryo. A particular RNA pattern was identified with specific increase on P12 related to immune system and hormonal response. Besides, a set of proteins as well as RNAs was highly enriched in EVs on P12 and P13. Differential abundance of miRNAs was also identified in P13-derived uEVs. Their target genes were linked to down- or upregulated genes in the embryo and the endometrium, exposing their potential origin. Our study identified for first time specific molecules packed in uEVs, which were previously associated to MRP in the mare, and thus bringing added value to the current knowledge. Further integrative and functional analyses will help to confirm the role of these molecules in uEVs during MRP in the mare.
Genomic adaptation of the picoeukaryote Pelagomonas calceolata to iron-poor oceans revealed by a chromosome-scale genome sequence
Authors: Guérin Nina , Ciccarella Marta , Flamant Elisa , Frémont Paul , Mangenot Sophie , Istace Benjamin , Noel Benjamin , Belser Caroline , Bertrand Laurie , Labadie Karine , Cruaud Corinne , Romac Sarah , Bachy Charles , Gachenot Martin , Pelletier Eric , Alberti Adriana , Jaillon Olivier , Wincker Patrick , Aury Jean-Marc , Carradec Quentin 
Published: September 2022

AbstractThe smallest phytoplankton species are key actors in oceans biogeochemical cycling and their abundance and distribution are affected with global environmental changes. Among them, algae of the Pelagophyceae class encompass coastal species causative of harmful algal blooms while others are cosmopolitan and abundant. The lack of genomic reference in this lineage is a main limitation to study its ecological importance. Here, we analysed Pelagomonas calceolata relative abundance, ecological niche and potential for the adaptation in all oceans using a complete chromosome-scale assembled genome sequence. Our results show that P. calceolata is one of the most abundant eukaryotic species in the oceans with a relative abundance favoured by high temperature, low-light and iron-poor conditions. Climate change projections based on its relative abundance suggest an extension of the P. calceolata habitat toward the poles at the end of this century. Finally, we observed a specific gene repertoire and expression level variations potentially explaining its ecological success in low-iron and low-nitrate environments. Collectively, these findings reveal the ecological importance of P. calceolata and lay the foundation for a global scale analysis of the adaptation and acclimation strategies of this small phytoplankton in a changing environment.
Augmentative and Alternative Communication Disaster Preparedness: Roles, Responsibilities, and Opportunities for Speech-Language Pathologists and Other Professionals
Authors: Boesch Miriam C. , Begley Elizabeth , Blackstone Sarah , Caswell Tina 
Published: September 2022

Purpose:People who use augmentative and alternative communication (AAC) face unique challenges during natural and man-made disasters. When Hurricanes Harvey, Maria, and Irma struck in 2017, the need to address the immediate and longer term needs of this group during all stages of the disaster became apparent. The purposes of this clinical focus article are to discuss theUnited States Society of Augmentative and Alternative Communication Disaster Relief Committeeinitiatives; obtain the perspectives of families on disaster preparedness before, during, and after the disaster; and provide recommendations for speech-language pathologists and other professionals to increase disaster preparedness for people who use AAC.Method:A survey was disseminated via e-mail to 20 people who requested AAC assistance during Hurricane Harvey. A total of 13 people completed the 10-question survey for a response rate of 65%.Results:The most salient findings indicated that people who use AAC and their families were unprepared prior to the disaster and did not have the necessary resources during and after the disaster. The Disaster Relief Committee used these findings to create disaster preparedness initiatives.Conclusion:This article discusses a text-based toolkit developed to increase disaster preparedness and provides recommendations for speech-language pathologists and other professionals on how to help clients who use AAC prepare for disasters and have the necessary vocabulary to communicate effectively during disaster situations.
Comments on ‘Chinese Remainder Theorem‐based centralised group key management for secure multicast communication’
Authors: Xia Zhe , Yang Yu , Miao Fuyou 
Published: September 2022

AbstractTo ensure private message exchange among the group members, it is desirable to construct secure and efficient group key management schemes. Moreover, these schemes are more versatile if they could support dynamic join or leave of group members. In IET Information Security 2014, Vijayakumar et al. have introduced such a group key management scheme with lightweight overheads in both computation and communication. And this scheme has been used as a building block in many cryptographic protocols afterwards. In this paper, the authors demonstrate that Vijayakumar's scheme suffers some potential security weaknesses. First, after participating in the group communications for some sessions, a group member may still be able to obtain the group key after it leaves the group, and this violates the claimed security property of forward secrecy. Second, some colluding group members may derive another group member's long term secret key, and obviously, this has more serious consequences. One of the main reasons for the existence of these attacks is that the security analyses in Vijayakumar's scheme are informal and they cannot cover the dynamic environment. To address this issue, the authors’ suggestion is that heuristic arguments of security are not adequate in the design of cryptographic protocols, but formal security definitions and proofs are required.
Emerging Activation Modes and Techniques in Visible-Light-Photocatalyzed Organic Synthesis
Authors: De Vos Dries , Gadde Karthik , Maes Bert U. W. 
Published: September 2022

AbstractVisible light photocatalysis has evolved into a promising mild and sustainable strategy to access radicals. This field unlocks formerly challenging or even previously inaccessible organic transformations. In this review, an overview of some lesser-known modes of photochemical activation of organic molecules and several emerging techniques within the versatile field of visible light photocatalysis are discussed. These are illustrated by selected photocatalytic reactions, with particular attention given to the reaction mechanism.1	Introduction2	Advanced Photoactivation Modes2.1	Photoinduced Hydrogen-Atom Transfer2.2	Proton-Coupled Electron Transfer2.3	Electron Donor-Acceptor Photoactivation of Organic Substrates2.4	Excited-State Transition Metal Catalysis3	Emerging Techniques3.1	Dual Catalysis3.2	Excited Radical Ion Photocatalysis3.3	Upconversion Strategies and Other Two-Photon Mechanisms3.4	Red and Near-Infrared Photocatalysis4	Conclusions and Outlook
Association of Metabolic Syndrome with Adverse Outcomes in Patients
with Stable Coronary Artery Disease: A Meta-Analysis
Authors: Su Yongcai , Zhang Xiaole 
Published: September 2022

AbstractA consensus has not been reached on the association of metabolic syndrome (MetS)
with adverse outcomes in patients with stable coronary artery disease (CAD). The
purpose of this systematic review and meta-analysis was to summarize the
prognostic implication of MetS in patients with stable CAD. We comprehensively
searched articles indexing in PubMed and Embase databases until August 14, 2022.
Original studies investigating the association of MetS with adverse outcomes in
patients with stable CAD were included. Seven studies including 32 736 patients
with stable CAD were identified. Depending on the definition of MetS, the
reported prevalence of MetS ranged from 23.4% to 63%.
Meta-analysis showed that patients with MetS conferred an increased risk of
all-cause mortality [risk ratio (RR) 1.22; 95% confidence intervals (CI)
1.15–1.19], cardiovascular mortality (RR 1.49; 95% CI
1.16–1.92), and MACEs defined by death, myocardial infarction,
revascularization, cardiac arrest, or angina admission (RR 1.47; 95% CI
1.20–1.79), respectively. Leave-one-out sensitivity analysis indicated
the robustness of the value of MetS in prediction of all-cause mortality. MetS
may be an independently predictor of adverse outcomes in patients with stable
CAD. However, future studies are required to consolidate the current evidence
due to the small number of studies included.
Diabetic Foot Infection Characteristics and Antibiotics Susceptibility Patterns in a Regional Hospital in Libya
Authors: Eldukali Wail A. , Boshaalla Mohamed A. 
Published: September 2022

AbstractIntroduction Diabetes is a major global health problem, among the top causes of death worldwide. Diabetic foot infection (DFI) is associated with an increased risk of amputation by 155 times and a mortality rate of 57% at 5 years. This study aims to characterize DFI epidemiology in a local hospital and analyze local microbiological patterns and antibiotic susceptibility testing.Patients and Methods This is a retrospective review of Al Jala hospital Benghazi/Libya medical records. Eligible patients were included, if they had DFI with confirmed tissue/pus samples collections was submitted to the hospital laboratory for microbiology and Antibiotics susceptibility analysis.Results Out of 126 patients, 77 (61.1%) were men, and 49 (38.9%) were women. The mean age was 55.4 years. Incision drainage with debridement was the most common surgical procedure (77.1%). 38.88% of growth was polymicrobial. Gram-negative rods were isolated in 70.9%, and gram-positive cocci in 27.4%. The most commonly isolated bacteria were Pseudomonas aeruginosa (15.9%) and Proteus sps. (14.2%), Staphylococcus aureus (11.3%), and Escherichia coli (10.2%). Methicillin-resistant Staphylococcus aureus (MRSA) constitutes 30% of isolated S. aureus. The most common effective antibiotic for P. aeruginosa was imipenem (90%), for S. aureus was linezolid (100%), and for MRSA was linezolid, vancomycin (100%), and ciprofloxacin 88.8%. Sixty-four percent of total bacterial isolates were MDROs (gram-positive isolates 65.3%, gram-negative isolates 63.6%).Conclusions The emergence of antibiotic-resistant bacteria is a global health concern. This study attempts to evaluate the local microbiology and antimicrobial susceptibility to tailor the treatment choice for better patient outcomes.
The Fibrinolytic System in Peripartum Depression
Authors: Hoirisch-Clapauch Silvia 
Published: September 2022

AbstractThe relationship between depression and reduced fibrinolytic activity reflects the role of tissue plasminogen activator and plasmin in brain remodeling underlying resilience, depression remission, and reward processing, rather than the dissolution of fibrin clots. Individuals who experience depression demonstrate hippocampal and prefrontal cortex atrophy, as well as impaired neuronal connectivity. Brain-derived neurotrophic factor (BDNF), synthesized as a precursor that is activated through cleavage by tissue plasminogen activator and plasmin, influences adult neurogenesis and neuronal plasticity in the hippocampus and prefrontal cortex. Depression is associated with decreased brain levels of BDNF, due to reduced activity of tissue plasminogen activator and plasmin. Tissue plasminogen activator and plasmin also mediate the release of dopamine, a neurotransmitter implicated in motivation and reward. Peripartum depression defines a depressive episode that occurs during pregnancy or in the first month after delivery, reinforcing the concept that postpartum depression may be a continuum of antenatal depression. This article describes the fibrinolytic status in the healthy brain, in stress and depression, emphasizing the links between biological markers of depression and defective fibrinolysis. It also discusses the association between hypofibrinolysis and risk factors for perinatal depression, including polycystic ovary syndrome, early miscarriage, preeclampsia, stressful life events, sedentariness, eating habits, gestational and type 2 diabetes, and antithyroid peroxidase antibodies. In addition, it reviews the evidence that antidepressant medications and interventions as diverse as placebo, psychotherapy, massage, video game playing, regular exercise, dietary modifications, omega 3 fatty acid supplementation, neurohormones, and cigarette smoking may reduce depression by restoring the fibrinolytic activity. Last, it suggests new directions for research.
What drives reputational risk? Evidence from textual risk disclosures in financial statements
Authors: Zhu Xiaoqian , Wang Yinghui , Li Jianping 
Published: September 2022

AbstractThe drivers of reputational risk are still far from explicit, making proactive risk management and quantitative research rather difficult. The Basel Committee on Banking Supervision encourages financial institutions to systematically identify reputational risk drivers; however, such drivers still represent an unsolved problem. Therefore, the objective of this paper is to systemically identify reputational risk drivers from textual risk disclosures in financial reports. We find that textual risk disclosures in financial reports contain abundant information about the causes of reputational risk, thus indicating the possibility of systematically identifying the reputational risk drivers. To accurately extract reputational risk drivers from massive and unstructured textual risk disclosure data, we modify a text mining method to make it more suitable for this type of textual data with noise words. Based on 352,326 risk headings extracted from 11,921 annual reports released by 1570 U.S. financial institutions from 2006 to 2019, a total of 13 reputational risk drivers are identified to extend upon existing studies. The importance of reputational risk drivers and their dynamic evolutions are also quantified to discover the drivers of greatest concern. This paper can clarify the sources of reputational risk to help companies realize proactive reputational risk management and provide a theoretical basis for further quantitative studies, especially the measurement of reputational risk.
Detection of fortunate molecules induce particle resolution shift (PAR-shift) toward single-molecule limit in SMLM: A technique for resolving molecular clusters in cellular system
Authors: S Aravinth , Joshi Prakash , Mondal Partha Pratim 
Published: September 2022

Molecules capable of emitting a large number of photons (also known as fortunate molecules) are crucial for achieving a resolution close to single molecule limit (the actual size of a single molecule). We propose a long-exposure single molecule localization microscopy (leSMLM) technique that enables detection of fortunate molecules, which is based on the fact that detecting a relatively small subset of molecules with large photon emission increases its localization precision (∼r0/N). Fortunate molecules have the ability to emit a large burst of photons over a prolonged time (&gt; average blinking lifetime). So, a long exposure time allows the time window necessary to detect these elite molecules. The technique involves the detection of fortunate molecules to generate enough statistics for a quality reconstruction of the target protein distribution in a cellular system. Studies show a significant PArticle Resolution Shift (PAR-shift) of about 6 and 11 nm toward single-molecule-limit (far from diffraction-limit) for an exposure time window of 60 and 90 ms, respectively. In addition, a significant decrease in the fraction of fortunate molecules (single molecules with small localization precision) is observed. Specifically, 8.33% and 3.43% molecules are found to emit in 30–60 ms and &gt;60 ms, respectively, when compared to single molecule localization microscopy (SMLM). The long exposure has enabled better visualization of the Dendra2HA molecular cluster, resolving sub-clusters within a large cluster. Thus, the proposed technique leSMLM facilitates a better study of cluster formation in fixed samples. Overall, leSMLM technique offers a spatial resolution improvement of ~ 10 nm compared to traditional SMLM at the cost of marginally poor temporal resolution.
Chemical vapor deposition: a potential tool for wafer scale growth of two-dimensional layered materials
Authors: El Hammoumi Mohammed , Chaudhary Vivek , Neugebauer P , El Fatimy A 
Published: September 2022

Abstract
The rapidly growing demand for high-performance and low-power electronic and photonic devices has driven attention towards novel two-dimensional (2D) layered materials. In this regard, 2D layered materials, including graphene, molybdenum disulfide (MoS2), and newly discovered phosphorene, have the potential to take over the existing semiconductor industry due to their intriguing features, such as excellent electrical conductivity, strong light–matter interaction, and especially the ability to scale down the resulting device to the atomic level. However, to explore the full potential of these materials in various technological applications, it is essential to develop a large-scale synthesis method that can provide uniform, defect-free thin film. The chemical vapor deposition (CVD) technique has been proven to produce large-scale and less defective 2D crystals with reasonably good quality and uniformity compared to other elaboration techniques, such as molecular beam epitaxy. This article discusses whether CVD may improve 2D layered materials growth, including graphene and MoS2, and whether it can be used to grow phosphorene. Only a few attempts have been made using CVD-like methods to grow phosphorene directly on the substrate. Still, one has to go long to establish a proper CVD method for phosphorene synthesis.
Investigation of hybridized bluff bodies for flow-induced vibration energy harvesting
Authors: Wang Junlei , Wang Yiqing , Hu Guobiao 
Published: September 2022

Abstract
Small-scale wind energy harvesting based on flow-induced vibration (FIV) mechanisms has attracted lots of research interest in recent years. Vortex-induced vibration (VIV) and galloping energy harvesters usually outperform each other in different wind-speed ranges. To combine the advantages of VIV and galloping harvesters, this paper explores the idea of using a hybridized bluff body constituting of two cylindrical and one cuboid segment for wind energy harvesting. The total length of the hybridized bluff body was fixed. The cuboid segment length was varied to investigate the effect on the FIV behavior of the bluff body. The results show that, when the cuboid segment is short in length, the bluff body exhibits VIV-like behavior in the low wind-speed range and galloping-like behavior in the high-speed range. In the medium wind-speed range, galloping-VIV coupling appears. However, if the cuboid segment is longer, the galloping-VIV coupling phenomenon disappears; the hybridized bluff body behaves just like a cuboid one and only exhibits a galloping motion. In addition to experiments, computational fluid dynamics (CFD) simulations are also conducted to provide more insights into the aerodynamics of the hybridized bluff body. The simulation results reveal that introducing hybridization into the bluff body changes the vorticity flow behind it and alters the vortex-shedding behavior. The vortex-shedding effect, in turn, affects the vibration of the bluff body, as well as the performance of the harvester.
Rules of thumb for synthesizing superheavy elements
Authors: Manjunatha H C , Vidya Y S , Gupta P S Damodara , Manjunatha N , Sowmya N , Seenappa L , Nandi T 
Published: September 2022

Abstract
Synthesizing any elements in the eighth period using either cold or hot fusion reactions remains a big challenge to date. The quasifission mechanism restricts complete fusion to an indeterminably low evaporation residue (ER) cross-section for superheavy nuclei. The entrance channel parameters of the heavy-ion reaction, the fission barrier of the compound nucleus, the deformation parameters of the projectile and target nuclei, and the kinetic energy of the projectile are mainly responsible for governing the scale of the quasifission. The role of these factors has been examined explicitly by the experimental ER cross-sections. Thorough comparisons lead us to infer that the entrance channel criteria contribute to a much lower extent than the deformation parameters do. The effect of deformation can be categorized into four rules as validated by all the reactions used except one

S
c

21

45

+

C
f

98

249

→

119

294

Uue. The null result from this reaction is explained by the improper choice of the projectile energy, as shown theoretically by means of a statistical model approach, which is valid for a system having a large nucleon number so as to intrinsically have a high density of excited states. The optimal selection of the beam energy sets another rule. Therefore, these five rules can be treated as the rules of thumb for synthesizing the superheavy elements. Application of the first four rules can enable us primarily to spot a suitable reaction, and finally, exploitation of the fifth rule chooses the most appropriate reaction at a preferable excited energy to achieve the highest ER cross-section for a superheavy element.
Study of mathematics through indian veda’s : A review
Authors: Sharma Tarunika , Khubnani Rashi , Subramanyam Chitiralla 
Published: September 2022

Abstract
Vedic Mathematics a method of conceptual calculation also reasoning. It has 16 sutras (formulas) and 13 sub-sutras(corollary). Vedic Mathematics formulas, which are mathematical concepts founded proceeding antediluvian Indian scripts called Veda meaning, knowledge reiterated by SWAMI SRI BHARATI KRISNA TIRTHAJI MAHARAJA. Due to its versatile nature and speed, it applies to many fields. This paper is an array of growth and development in the field of Vedic mathematics with a special focus on the structure of Vedic multipliers and Vedic algorithms like Urdhva Tiriyagbhyam and Nikhilam algorithms. Further an over view of Vedic Mathematics with NEP2020 is deliberated.