bluuebunny/crossref_metadata_2025_split huggingface dataset:
A tunnel coaxial 3D hyperspectral scanning system for underground mine investigation
Authors: Baik Hyunseob , Son Young-Sun , Kim Kwang-Eun 
Published: June 2023

AbstractA hyperspectral scanning system was developed for three-dimensional (3D) surface mapping in underground spaces, such as mine shafts and tunnels. A hyperspectral line-scanning camera was mounted on the rotating driver unit coaxial with the tunnel to image both the mine wall and the ceiling. Uniform light was illuminated on the target surface to be imaged using a halogen lamp rotating together with the hyperspectral imaging sensor. Inertial Measuring Unit (IMU) was also attached to the sensor unit together with the hyperspectral camera so that sensor’s geometric information could be acquired simultaneously during imaging. All sensor and controller units were mounted on a cart-type platform for easy movement in the tunnel, and a battery mounted on the platform supplied power for system operation and the halogen light source. The developed scanning system was tested in an actual mine, and 3D hyperspectral images of the internal surface of the mine shaft were successfully obtained.
Ag2(0) dimers within a thioether-functionalized MOF catalyze the CO2 to CH4 hydrogenation reaction
Authors: Zheng Yongkun , Martín Nuria , Boronat Mercedes , Ferrando-Soria Jesús , Mon Marta , Armentano Donatella , Pardo Emilio , Leyva-Pérez Antonio 
Published: June 2023

AbstractUltrasmall silver clusters in reduced state are difficult to synthesize since silver atoms tend to rapidly aggregate into bigger entities. Here, we show that dimers of reduced silver (Ag2) are formed within the framework of a metal–organic framework provided with thioether arms in their walls (methioMOF), after reduction with NaBH4of the corresponding Ag+-methioMOF precursor. The resulting Ag2-methioMOF catalyzes the methanation reaction of carbon dioxide (CO2to CH4hydrogenation reaction) under mild reaction conditions (1 atm CO2, 4 atm H2, 140 °C), with production rates much higher than Ag on alumina and even comparable to the state-of-the-art Ru on alumina catalyst (Ru–Al2O3) under these reaction conditions, according to literature results.
Der Badearzt D.J.E. Trampel und seine Sicht auf rheumatische
Erkrankungen in der zweiten Hälfte des 18. Jahrhunderts
Authors: Schäfer Christoph 
Published: June 2023

ZusammenfassungUnter dem Titel „Beobachtungen und Erfahrungen medicinischen und
chirurgischen Inhalts über die Gicht und über einige Mittel
gegen dieselbe“ veröffentlicht der Badearzt D.J.E. Trampel in
den Jahren 1788 und 1789 ein zweibändiges Werk. Dieses bietet einen
interessanten Einblick in die rheumatologischen Vorstellungen in der zweiten
Hälfte des 18. Jahrhunderts. Trampel differenziert in seinen
„Beobachtungen“ unterschiedliche Verläufe arthritischer
Erkrankungen: Neben dem „Rheumatismus“ und der „Gicht
mit dem Fieber“ beschreibt er eine „kalte Gicht“, die
deutliche Ähnlichkeit mit dem Krankheitsbild der rheumatoiden Arthritis
aufweist. Die physiologischen Vorstellungen und therapeutischen Konzepte sind
humoralpathologisch geprägt. Viele der in der damaligen Zeit
gebräuchlichen Therapien werden von Trampel jedoch aufgrund ihrer
Nebenwirkungen abgelehnt. Zur Behandlung der „kalten Gicht“
empfiehlt er unter anderem den Einsatz der „Fieberrinde“. Auch
wenn die „kalte Gicht“ viele Merkmale der uns bekannten
rheumatoiden Arthritis aufweist, scheitert die klare Abgrenzung als neues und
eigenständiges Krankheitsbild an humoralpathologischen
ätiologischen Vorstellungen. Medizinhistorisch tritt die rheumatoide
Arthritis als eigenständige Entität erst im 19. Jahrhundert
auf.
Synthesis of Halogen-Bond-Donor-Site-Introduced Functional Monomers through Wittig Reaction of Perfluorohalogenated Benzaldehydes: Toward Digitalization as Reliable Strategy in Small-Molecule Synthesis
Authors: Momiyama Norie , Hori Tatsuaki , Kakinuma Shuya , Ohtsuka Naoya , Fujinami Takeshi , Suzuki Toshiyasu 
Published: June 2023

AbstractThe Wittig reaction of perfluoromonohalobenzaldehydes was systematically studied to synthesize 2,3,5,6-tetrafluoro-4-halostyrene (TFXSs) as functional monomers bearing halogen-bond donor sites. The reaction proceeded efficiently in tetrahydrofuran using 1,1,3,3-tetramethylguanidine as an organic base. Correlation analysis quantitatively identified three key factors required to obtain TFXSs in reasonable yields. The present approach not only contributes to the study of halogen-bond-based functional molecules, but also presents digitalization as a potential strategy in small-molecule synthesis.
Exploiting 1,1-Dibromoalkenes as Direct Precursors to 5-Substituted 1,2,3-Triazoles
Authors: Boyer Alistair , Williams Matthew B. , Martin Matthew L. , Wiedmann Steffen 
Published: June 2023

Abstract1,1-Dibromoalkenes can be used as direct precursors to three classes of 5-substituted 1,2,3-triazoles. Three different approaches to 1,2,3-triazole products were developed, linked to the N1-substituent. Treatment of 1,1-dibromoalkenes with n-butyllithium and reaction with a sulfonyl azide gave 5-substituted 1-sulfonyl-1,2,3-triazoles. The use of lithium base followed by transmetalation to zinc and reaction with aryl azides allowed access to 1-aryl-1,2,3-triazoles. Finally, the use of EtMgBr as base and reaction with an alkyl azide formed 1-alkyl-1,2,3-triazoles.
Management of Pulmonary Arterial Hypertension
Authors: Weatherald Jason , Varughese Rhea A. , Liu Jonathan , Humbert Marc 
Published: June 2023

AbstractPulmonary arterial hypertension (PAH) is a rare pulmonary vascular disease characterized by progressive pulmonary arterial remodeling, increased pulmonary vascular resistance, right ventricular dysfunction, and reduced survival. Effective therapies have been developed that target three pathobiologic pathways in PAH: nitric oxide, endothelin-1, and prostacyclin. Approved therapies for PAH include phosphodiesterase type-5 inhibitors, soluble guanylate cyclase stimulators, endothelin receptor antagonists, prostacyclin analogs, and prostacyclin receptor agonists. Management of PAH in the modern era incorporates multidimensional risk assessment to guide the use of these medications. For patients with PAH and without significant comorbidities, current guidelines recommend two oral medications (phosphodiesterase type-5 inhibitor and endothelin receptor antagonist) for low- and intermediate-risk patients, with triple therapy including a parenteral prostacyclin to be considered in those at high or intermediate-high risk. Combination therapy may be poorly tolerated and less effective in patients with PAH and cardiopulmonary comorbidities. Thus, a single-agent approach with individualized decisions to add-on other PAH therapies is recommended in older patients and those with significant comorbid conditions. Management of PAH is best performed in multidisciplinary teams located in experienced centers. Other core pillars of PAH management include supportive and adjunctive treatments including oxygen, diuretics, rehabilitation, and anticoagulation in certain patients. Patients with PAH who progress despite optimal treatment or who are refractory to best medical care should be referred for lung transplantation, if eligible. Despite considerable progress, PAH is often fatal and new therapies that reverse the disease and improve outcomes are desperately needed.
High-performance fixed-bed in situ mass analyzer—ISMA
Authors: Karlsson Arne , Lødeng Rune , Haugholt Karl Henrik , Myhrvold Elisabeth , Plassen Martin , Thorshaug Knut 
Published: June 2023

We demonstrate a newly developed high-performance fixed-bed reactor combined with an in situ mass analyzer (ISMA). The ISMA is particularly relevant to sub-second time-resolved studies where mass changes occur due to, e.g., chemical reactions and process conditions such as choice of solid, temperature, gas atmosphere, and pressure. The mass is determined from the optically measured oscillation frequency of a quartz element, yielding a mass resolution below 10 μg—typically 2–3 μg—for samples up to ∼500 mg. By placing the quartz element and optical sensor inside stainless steel pipes and providing heat from the outside, the instrument is applicable up to ∼62 bars and 700 °C. By surrounding this core part of the instrument with a suitable feed system and product analysis instruments, in combination with computer control and logging, time-resolved studies are enabled. The instrument with surrounding feed and product analysis infrastructure is fully automated. Emphasis has been put on making the instrument robust, safe, operationally simple, and user-friendly. We demonstrate the ISMA instrument on selected samples.
Real-space solution to the electronic structure problem for nearly a million electrons
Authors: Dogan Mehmet , Liou Kai-Hsin , Chelikowsky James R. 
Published: June 2023

We report a Kohn–Sham density functional theory calculation of a system with more than 200 000 atoms and 800 000 electrons using a real-space high-order finite-difference method to investigate the electronic structure of large spherical silicon nanoclusters. Our system of choice was a 20 nm large spherical nanocluster with 202 617 silicon atoms and 13 836 hydrogen atoms used to passivate the dangling surface bonds. To speed up the convergence of the eigenspace, we utilized Chebyshev-filtered subspace iteration, and for sparse matrix–vector multiplications, we used blockwise Hilbert space-filling curves, implemented in the PARSEC code. For this calculation, we also replaced our orthonormalization + Rayleigh–Ritz step with a generalized eigenvalue problem step. We utilized all of the 8192 nodes (458 752 processors) on the Frontera machine at the Texas Advanced Computing Center. We achieved two Chebyshev-filtered subspace iterations, yielding a good approximation of the electronic density of states. Our work pushes the limits on the capabilities of the current electronic structure solvers to nearly 106 electrons and demonstrates the potential of the real-space approach to efficiently parallelize large calculations on modern high-performance computing platforms.
The spread of participial clauses in Biblical Greek
Authors: Nardi Edoardo 
Published: June 2023

Abstract
In this study, a construction marginally found in Ancient Greek is addressed, namely the participial clause, which is a clause whose main verb is a participle. This construction displays a considerable increase in frequency in Biblical Greek (mainly between the 2nd century bce and the 2nd century ce), which is the language found in Judaeo-Christian literature and which features, in various ways and to various degrees, the influence of Semitic languages. Since the participial clause is a very common construction in these tongues, wherein it even exhibits increasing productivity and frequency at the time at issue, I suggest that the frequency increase observed in Greek should be attributed to the influence of these Semitic languages, with a crucial role played by multilingualism. The issue is addressed from the perspective of language contact, which provides the theoretical and terminological frame by which the phenomenon is individuated and defined.
Data-driven discovery of stochastic dynamical equations of collective motion
Authors: Nabeel Arshed , Jadhav Vivek , M Danny Raj , Sire Clément , Theraulaz Guy , Escobedo Ramón , Iyer Srikanth K , Guttal Vishwesha 
Published: June 2023

Abstract
Coarse-grained descriptions of collective motion of flocking systems are often derived for the macroscopic or the thermodynamic limit. However, the size of many real flocks falls within ‘mesoscopic’ scales (10 to 100 individuals), where stochasticity arising from the finite flock sizes is important. Previous studies on mesoscopic models have typically focused on non-spatial models. Developing mesoscopic scale equations, typically in the form of stochastic differential equations, can be challenging even for the simplest of the collective motion models that explicitly account for space. To address this gap, here, we take a novel data-driven equation learning approach to construct the stochastic mesoscopic descriptions of a simple, spatial, self-propelled particle (SPP) model of collective motion. In the spatial model, a focal individual can interact with k randomly chosen neighbours within an interaction radius. We consider k = 1 (called stochastic pairwise interactions), k = 2 (stochastic ternary interactions), and k equalling all available neighbours within the interaction radius (equivalent to Vicsek-like local averaging). For the stochastic pairwise interaction model, the data-driven mesoscopic equations reveal that the collective order is driven by a multiplicative noise term (hence termed, noise-induced flocking). In contrast, for higher order interactions (k > 1), including Vicsek-like averaging interactions, models yield collective order driven by a combination of deterministic and stochastic forces. We find that the relation between the parameters of the mesoscopic equations describing the dynamics and the population size are sensitive to the density and to the interaction radius, exhibiting deviations from mean-field theoretical expectations. We provide semi-analytic arguments potentially explaining these observed deviations. In summary, our study emphasises the importance of mesoscopic descriptions of flocking systems and demonstrates the potential of the data-driven equation discovery methods for complex systems studies.
A scoping review of current and emerging techniques for evaluation of peripheral nerve health, degeneration and regeneration: part 2, non-invasive imaging
Authors: Mandeville Ross , Deshmukh Swati , Tan Ek Tsoon , Kumar Viksit , Sanchez Benjamin , Dowlatshahi Arriyan S , Luk Justin , See Reiner Henson B , Leochico Carl Froilan D , Thum Jasmine A , Bazarek Stanley , Johnston Benjamin , Brown Justin , Wu Jim , Sneag Darryl , Rutkove Seward 
Published: June 2023

Abstract
Peripheral neuroregenerative research and therapeutic options are expanding exponentially. With this expansion comes an increasing need to reliably evaluate and quantify nerve health. Valid and responsive measures of the nerve status are essential for both clinical and research purposes for diagnosis, longitudinal follow-up, and monitoring the impact of any intervention. Furthermore, novel biomarkers can elucidate regenerative mechanisms and open new avenues for research. Without such measures, clinical decision-making is impaired, and research becomes more costly, time-consuming, and sometimes infeasible. Part 1 of this two-part scoping review focused on neurophysiology. In part 2, we identify and critically examine many current and emerging non-invasive imaging techniques that have the potential to evaluate peripheral nerve health, particularly from the perspective of regenerative therapies and research.
Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes
Authors: Romeni Simone , Losanno Elena , Koert Elisabeth , Pierantoni Luca , Delgado-Martinez Ignacio , Navarro Xavier , Micera Silvestro 
Published: June 2023

Abstract

Objective. Peripheral nerve interfaces have the potential to restore sensory, motor, and visceral functions. In particular, intraneural interfaces allow targeting deep neural structures with high selectivity, even if their performance strongly depends upon the implantation procedure and the subject’s anatomy. Currently, few alternatives exist for the determination of the target subject structural and functional anatomy, and statistical characterizations from cadaveric samples are limited because of their high cost. We propose an optimization workflow that can guide both the pre-surgical planning and the determination of maximally selective multisite stimulation protocols for implants consisting of several intraneural electrodes, and we characterize its performance in silico. We show that the availability of structural and functional information leads to very high performances and allows taking informed decisions on neuroprosthetic design. Approach. We employ hybrid models (HMs) of neuromodulation in conjunction with a machine learning-based surrogate model to determine fiber activation under electrical stimulation, and two steps of optimization through particle swarm optimization to optimize in silico implant geometry, implantation and stimulation protocols using morphological data from the human median nerve at a reduced computational cost. Main results. Our method allows establishing the optimal geometry of multi-electrode transverse intra-fascicular multichannel electrode implants, the optimal number of electrodes to implant, their optimal insertion, and a set of multipolar stimulation protocols that lead in silico to selective activation of all the muscles innervated by the human median nerve. Significance. We show how to use effectively HMs for optimizing personalized neuroprostheses for motor function restoration. We provide in-silico evidences about the potential of multipolar stimulation to increase greatly selectivity. We also show that the knowledge of structural and functional anatomies of the target subject leads to very high selectivity and motivate the development of methods for their in vivo characterization.
Thermodynamics of the hydrothermal synthesis of xonotlite
Authors: Liu Wei , Liu Chaorong , Huang Liangliang , Liu Chang , Jiang Juan 
Published: June 2023

Abstract
Xonotlite, as a multifunctional inorganic material, has been widely used in the fields of building insulation, friction braking, and bionic composite materials. However, the main method of producing xonotlite, the dynamic hydrothermal method, is regarded as a black box process. Optimization of synthesis conditions can only be achieved through trial-and-error experimentations, and there are inconsistencies in the experimental results reported in the literature. In this work, we established a thermodynamic model of the Ca(OH)2-SiO2-H2O system under hydrothermal conditions, and investigated influencing factors of the xonotlite synthesis. The results show that, the predicted lowest temperature of xonotlite synthesis is approximately 170 °C. Furthermore, an optimum condition to synthesis xonotlite with a purity of 99% is proposed as follows: reaction temperature, 200 °C; Ca/Si ratio, 0.9–1.0; water-solid ratio, no more than 20; pH, 7–8. This new synthesis process has been confirmed by experiments.
Climate change projections from a multi-model ensemble of CORDEX and CMIPs over Angola
Authors: Pinto Izidine , de Perez Erin Coughlan , Jaime Catalina , Wolski Piotr , van Aardenne Lisa , Jjemba Eddie , Suidman Jasmijn , Serrat-Capdevila Aleix , Tall Arame 
Published: June 2023

Abstract
Angola has been characterized as one of the most vulnerable regions to climate change. Climate change compounded by existing poverty, a legacy of conflict and other risk factors, currently impede development and are expected to become worse as climate change impacts increase. In this study we analyze the signal of climate change on temperature and rainfall variables for two time periods, 2020–2040 and 2040–2060. The analysis is based on multi-model ensemble of the Coupled Model Intercomparison Projects (CMIP5 and CMIP6) and the Coordinated Regional Downscaling Experiments (CORDEX). Our findings from the observed dataset indicate that the mean annual temperature over Angola has risen by an average of 1.4 °C since 1951, with a warming rate of approximately 0.2 [0.14–0.25] °C per decade. However, the rainfall pattern appears to be primarily influenced by natural variability. Projections of extreme temperature show an increase with the coldest nights projected to become warmer and the hottest days hotter. Rainfall projections suggest a change in the nature of the rainy season with increases in heavy precipitation events in the future. We investigated how droughts might change in all river basins of Angola, and we found an increased uncertainty about drought in the future. The changes in climate and increased variability demonstrate the need for adaptation measures that focuses on reducing risks in key sectors with a particular focus on adaptation of cities in Angola given a potential increase in mobility towards urban areas.
Subfascial/Intramuscular Dual-Plane Gluteal Implantation and Supplemental Fat Grafting: A Novel Technique for Buttock Augmentation
Authors: Morales Rolando , Mentz James , Hallman Taylor G , Castillo Chase 
Published: June 2023

Abstract

Background
Much debate exists within the current literature as to which plane is safest and most effective for gluteal implant buttock augmentation. A novel subfascial/intramuscular (SF/IM) dual-plane technique appears to combine the benefits of each plane.

Objectives
The aim of this study was to describe our experience with SF/IM plane gluteal implantation, and to discuss its indications, efficacy, and safety, and offer recommendations on its proper use.

Methods
A retrospective chart review was conducted of 175 consecutive cases of gluteal augmentation with solid silicone implants in the SF/IM pocket, with and without supplemental autologous fat transfer. Outcomes from all patients were analyzed to determine the rate of complication and need for surgical revision.

Results
In 175 cases of bilateral buttock augmentation with gluteal implantation using the SF/IM pocket, the most common complication was infection. This complication was seen in 13 cases (7.43%), 7 (4%) of which were superficial and did not require surgical intervention. Other complications included dehiscence, seroma, capsular contracture, and implant migration.

Conclusions
The SF/IM gluteal implantation, in combination with liposculpture and autologous fat transfer into the overlaying subcutaneous space, allows for a durable cosmetic augmentation of the buttocks in patients lacking sufficient volume for augmentation with fat transfer alone. This technique was found to have complication rates similar to those of other established augmentation techniques, as well the cosmetic advantages of a large, stable pocket with thick, soft tissue coverage of the inferior pole.
Objects sharpen visual scene representations: evidence from MEG decoding
Authors: Brandman Talia , Peelen Marius V 
Published: June 2023

Abstract
Real-world scenes consist of objects, defined by local information, and scene background, defined by global information. Although objects and scenes are processed in separate pathways in visual cortex, their processing interacts. Specifically, previous studies have shown that scene context makes blurry objects look sharper, an effect that can be observed as a sharpening of object representations in visual cortex from around 300 ms after stimulus onset. Here, we use MEG to show that objects can also sharpen scene representations, with the same temporal profile. Photographs of indoor (closed) and outdoor (open) scenes were blurred such that they were difficult to categorize on their own but easily disambiguated by the inclusion of an object. Classifiers were trained to distinguish MEG response patterns to intact indoor and outdoor scenes, presented in an independent run, and tested on degraded scenes in the main experiment. Results revealed better decoding of scenes with objects than scenes alone and objects alone from 300 ms after stimulus onset. This effect was strongest over left posterior sensors. These findings show that the influence of objects on scene representations occurs at similar latencies as the influence of scenes on object representations, in line with a common predictive processing mechanism.