bluuebunny/crossref_metadata_2025_split huggingface dataset:
High‐Quality CsPbBr3 Perovskite Films with Modal Gain above 10 000 cm−1 at Room Temperature
Authors: Tatarinov Dmitry A. , Anoshkin Sergey S. , Tsibizov Ivan A. , Sheremet Volodymyr , Isik Furkan , Zhizhchenko Alexey Y. , Cherepakhin Artem B. , Kuchmizhak Aleksandr A. , Pushkarev Anatoly P. , Demir Hilmi Volkan , Makarov Sergey V. 
Published: January 2023

AbstractHalide perovskite lasers based on CsPbBr3 micro‐ and nanoscale crystals have demonstrated fascinating performance owing to their low‐threshold lasing at room temperature and cost‐effective fabrication. However, chemically synthesized thin films of CsPbBr3 usually have rough polycrystalline morphology along with a large amount of crystal lattice defects and, thus, are mostly utilized for the engineering of light‐emitting devices. This obstacle prevents their usage in many photonic applications. Here, a protocol to deposit large‐grain and smooth CsPbBr3 thin films is developed. Their high quality and large scale allow to demonstrate a maximum optical gain up to 12 900 cm−1 in the spectral range of 530–540 nm, which is a record‐high value among all previously reported halide perovskites and bulk semiconductors (e.g., GaAs, GaN, etc.) at room temperature. Moreover, femtosecond laser ablation technique is employed to create high‐quality microdisc lasers on glass from these films to obtain excellent lasing characteristics. The revealed critical roles of thickness and grain size for the CsPbBr3 films with extremely high optical gain pave the way for development of low‐threshold lasers or ultimately small nanolasers, as well as to apply them for polaritonic logical elements and integrated photonic chips.
Holistic Nanowire Laser Characterization as a Route to Optimal Design
Authors: Church Stephen A , Patel Nikesh , Al‐Abri Ruqaiya , Al‐Amairi Nawal , Zhang Yunyan , Liu Huiyun , Parkinson Patrick 
Published: January 2023

AbstractNanowire lasers are sought for near‐field and on‐chip photonic applications as they provide integrable, coherent, and monochromatic radiation: the functional performance (threshold and wavelength) is dependent on both the opto‐electronic and crystallographic properties of each nanowire. However, scalable bottom‐up manufacturing techniques often suffer from inter‐nanowire variation, leading to differences in yield and performance between individual nanowires. Establishing the relationship between manufacturing controls, geometric and material properties, and the lasing performance is a crucial step toward optimisation; however, this is challenging to achieve due to the interdependance of such properties. Here, a high‐throughput correlative approach is presented to characterise over 5000 individual GaAsP/GaAs multiple quantum well nanowire lasers. Fitting the spontaneous emission provides the threshold carrier density, while coherence length measurements determine the end‐facet reflectivity. The performance is intrinsically related to the width of a single quantum well due to quantum confinement and bandfilling effects. Unexpectedly, there is no strong relationship between the properties of the lasing cavity and the threshold: instead the threshold is negatively correlated with the non‐radiative recombination lifetime of the carriers. This approach therefore provides an optimisation strategy that is not accessible through small‐scale studies.
Intergradation of UiO‐66 Nanoparticles with Expanded Graphite for Electrocatalytic Determination of Nitrite and L‐Cysteine
Authors: Li Yangwei , Qian Jing , Zhang Yuanyuan , Zeng Ting , Wan Qijin , Yang Nianjun 
Published: January 2023

AbstractIn this study, metal–organic framework (MOF) nanoparticles of UiO‐66 are integrated with expanded graphite (EG) (UiO‐66/EG) by a facile solvothermal approach. The advantages of this nanocomposite UiO‐66/EG overcome the poor electronic conductivity and slow diffusion of MOFs for their electrochemical applications. Through electron microscopy, X‐ray diffraction, X‐ray photoelectron spectroscopy, and electrochemical techniques, the morphology, surface area, and physicochemical properties of this UiO‐66/EG nanocomposite are characterized. The UiO‐66/EG nanocomposite exhibits superior sensing performance over the UiO‐66 and EG when used for nitrite and L‐cysteine determination. This includes less positive oxidation potentials and enhanced oxidation currents. Using the UiO‐66/EG nanocomposite, the nitrite oxidation peak current is linear with a concentration range of 0.20 μm to 13.15 mm with the lowest limit of detection (LOD) of 0.06 μm (S/N = 3). Meanwhile, superior performance is demonstrated for L‐cysteine monitoring, where the oxidation peak current is linear over the L‐cysteine concentration in the range of 0.5–250 μm and of 0.25–3.50 mm and a LOD of 0.28 μm (S/N = 3). This UiO‐66/EG/GCE nanocomposite is successfully exploited to detect nitrite in food samples and to measure L‐cysteine in juice samples. Therefore, the proposed sensing platform enables the fabrication of high‐performance electrochemical sensors to accurately quantify nitrite and L‐cysteine in complex matrixes.
Innovative Technology for Self‐Powered Sensors: Triboelectric Nanogenerators
Authors: Wang Nannan , Liu Yupeng , Ye Enyi , Li Zibiao , Wang Daoai 
Published: January 2023

AbstractInternet of Things and wearable technology's quick development have opened up a vast market for sensor systems. However, typical sensors' external power supplies' short lifespan and expensive maintenance restrict them from being used more widely. Triboelectric nanogenerators (TENGs), a recently created mechanical energy harvesting and self‐powered sensing device, show enormous promise to get over these restrictions. TENG can be used not only to power sensors instead of conventional chemical batteries but also be utilized to actualize sensing by taking advantage of the unique characteristics of the friction layer itself. Triboelectric nanogenerators efficiently provide crucial infrastructure for a new generation of sensing devices that gather data using several self‐powered sensors in abundance. The recent progress in the development of TENGs applied in the sensor field is reviewed. First, the working mechanisms of solid‐solid TENG and solid–liquid TENG are introduced. Subsequently, the development of TENG‐based sensing systems and their application progress in self‐powered temperature sensors, self‐powered pressure sensors, self‐powered humidity sensors, self‐powered atmosphere sensors, self‐powered wireless sensors, interface wetting status monitoring, solution property monitoring, and friction condition monitoring are highlighted. Finally, current challenges and open opportunities are discussed.
Functionalized Ionic Liquid Exfoliated MoS2 Nanosheets for Photoacoustic Imaging Guided Synergistic Photothermal/Chemotherapy
Authors: Lu Beibei , Hu Shunyou , Wu Chengyu , Zhang Jichuan , Zhang Jianglin , Zhang Jiaheng 
Published: January 2023

AbstractNanosheets exhibit highly specific recognition and can be effectively enriched in tumor cells. Controlling nanosheet size and reducing its potential toxicity are key issues in the photothermal therapy of tumors. Herein, a multifunctional nanoplatform based on molybdenum disulfide (MoS2) is developed using a green solvent with antitumor activity, ionic liquid (IL) exfoliation, and surface modification to prepare a few layers of IL‐MoS2 nanosheets, with a lateral dimension of ≈96 nm and thickness of 4 nm. The PEG‐b‐PIL polymer improves the biocompatibility, physiological stability, and biodegradability of the nanosheet, and IL‐MoS2‐PEG‐b‐PIL exhibits good photothermal stability and photothermal effects. The in vitro and in vivo results show that IL‐MoS2‐PEG‐b‐PIL nanosheets synergistically inhibit tumor cell growth in combination with photothermal therapy and chemotherapy under 808 nm laser irradiation. The steady increase in the weight of mice during the treatment indicates that the nanosheets are safe. Therefore, the results confirm that IL‐MoS2‐PEG‐b‐PIL nanosheets exhibit good antitumor effects and provide a promising strategy for clinical cancer treatments.
Self‐Induced Mode‐Locking in Electrically Pumped Far‐Infrared Random Lasers
Authors: Di Gaspare Alessandra , Pistore Valentino , Riccardi Elisa , Pogna Eva A. A. , Beere Harvey E. , Ritchie David A. , Li Lianhe , Davies Alexander Giles , Linfield Edmund H. , Ferrari Andrea C. , Vitiello Miriam S. 
Published: January 2023

AbstractMode locking, the self‐starting synchronous oscillation of electromagnetic modes in a laser cavity, is the primary way to generate ultrashort light pulses. In random lasers, without a cavity, mode‐locking, the nonlinear coupling amongst low spatially coherent random modes, can be activated via optical pumping, even without the emission of short pulses. Here, by exploiting the combination of the inherently giant third‐order χ(3) nonlinearity of semiconductor heterostructure lasers and the nonlinear properties of graphene, the authors demonstrate mode‐locking in surface‐emitting electrically pumped random quantum cascade lasers at terahertz frequencies. This is achieved by either lithographically patterning a multilayer graphene film to define a surface random pattern of light scatterers, or by coupling on chip a saturable absorber graphene reflector. Intermode beatnote mapping unveils self‐induced phase‐coherence between naturally incoherent random modes. Self‐mixing intermode spectroscopy reveals phase‐locked random modes. This is an important milestone in the physics of disordered systems. It paves the way to the development of a new generation of miniaturized, electrically pumped mode‐locked light sources, ideal for broadband spectroscopy, multicolor speckle‐free imaging applications, and reservoir quantum computing.
Diversifying corn production systems with living mulches in the southeastern United States
Authors: Quinby Marcia P. , Nave Renata L. G. , Hill Nicholas S. , Boyer Chris N. , Sykes Virginia R. , Bates Gary E. , Levi Matthew R. 
Published: January 2023

AbstractLiving mulch (LM) production systems are gaining traction as an alternative to the use of annual cover crops in the southeastern United States, warranting research on the viability and functionality of this system. Our objective was to evaluate the benefits of LM in corn silage and grain production and to evaluate the potential of LM grazing during the corn (Zea Mays L.) growing season. The experiment was conducted in Spring Hill, TN in 2020 and 2021 and consisted of two mulch species, white clover (WC) (Trifolium repens L.) and a mixture of crimson clover (Trifolium incarnatum L.) and cereal rye (CCCR) (Secale cereale L.). Cull cows were used for the grazing periods (4 weeks before planting and after the harvest of corn). The study evaluated the botanical composition, mulch mass, nutritive value, corn silage and grain production, and cow average daily weight gain (ADG). The WC treatment had a greater weed control than CCCR. In 2020, when differences in mulch mass were observed, CCCR had greater mass than WC mass due to the weed presence. Meanwhile, in 2021, the mulch mass did not differ between WC and CCCR, with both treatments showing less mass in spring and early summer. Grain production was 30% less than silage in 2020 and 90% less in 2021. The ADG was only observed for WC (0.5 kg−1) paddocks. It was concluded that WC as LM has greater corn production than CCCR treatments. The LM for grazing is a beneficial strategy if feeding costs are greater than $2.22 head day−1.
Delayed harvest time affects strength and color parameters in cotton fibers
Authors: Scarpin Gonzalo J. , Cereijo Antonela E. , Dileo Pablo N. , Winkler Horacio H. Martin , Muchut Robertino J. , Lorenzini Fernando G. , Roeschlin Roxana A. , Paytas Marcelo 
Published: January 2023

AbstractCotton (Gossypium hirsutum L.) is the most widely used natural fiber worldwide in the textile industry; thus, maintaining or even improving fiber quality is essential to produce the best quality yarn and uniform fabrics. Final fiber quality properties are determined not only by genotypes or environmental conditions during crop development but can also be affected by other postmaturity factors, such as harvesting and ginning methods, and harvest time (HT). The aim of this study is to associate the different environmental factors that affect specific lint quality traits produced by a delay in HT, also assessing cultivar effect. This field study included four cotton cultivars evaluated at seven different HTs (manual harvested) for different quality parameters. Results indicate that prolonged exposure of cotton fiber to the environment affects lint percentage (LP), strength (Str), reflectance (Rd), and yellowness (+b). Str showed a decrease of 0.02 g tex−1 day−1 from defoliant application, whereas LP, Rd, and +b presented different rates according to the season. No differences were obtained neither for length nor for fineness and maturity (micronaire) traits. In addition, the analysis of the results together with the climatic data recorded during the experiments indicated a negative correlation among Str, Rd, and +b with the number of rainy days, accumulated precipitation, and frost temperatures. Overall, this study establishes specific relationships between certain fiber characteristics and environmental conditions, being an important tool for crop management with regards to climate predictions that could help to make estimates of economic losses when the harvest is delayed.
Fewer hills with more seedlings improved lodging resistance of whole hill and yield stability of machine‐transplanted rice
Authors: Li Zhenzhen , Deng Fei , Zhu Li , Tang Lei , Zhou Tao , Lu Hui , Xia Haixiao , Zhong Xiaoyuan , Wang Li , Tao Youfeng , Zhou Wei , Lei Xiaolong , Chen Yong , Hu Jianfeng , Ren Wanjun 
Published: January 2023

AbstractLodging is a leading cause of yield loss in rice (Oryza sativa L.). To elucidate the effect of field configuration on lodging‐related traits at the single‐stem and whole hill levels, indica hybrid rice cultivars, Yixiangyou2115 and Shuyou217, were grown under traditional dense planting (30 × 12 cm row‐hill spacing) and under fewer hills with more seedlings (30 × 23 cm row‐hill spacing) in 2019 and 2020. The results show that there was no significant difference in single‐stem lodging index between fewer hills with more seedlings and traditional dense planting, as shown by the similarity in plant height, relative gravity center height, culm wall thickness, culm diameter, and breaking strength. However, compared with traditional dense planting, fewer hills with more seedlings significantly increased the anti‐thrust of whole plant and the ventilation rate between whole hills by 45.02%–117.36% and 58.18%–117.39%, respectively. This contributed to the marked improvement in the lodging resistance of whole rice hills, where plant inclination angle and apparent lodging rate were reduced by 41.75%–75.46% and 53.49%–63.33%, respectively. Furthermore, there was no significant difference in grain yield between the two configurations. These results indicate that the field configuration of fewer hills with more seedlings can improve the lodging resistance of whole hills while maintaining the grain yield of machine‐transplanted rice.
Stainless steel membrane distributor‐type dielectric barrier discharge plasma reactor for co‐conversion of CH4/CO2
Authors: Wang Xinrui , Guo Wei , Xu Shanshan , Chen Huanhao , Fan Xiaolei 
Published: January 2023

AbstractFlow arrangement in a dielectric barrier discharge (DBD) plasma reactor is key to affecting multi‐component gas reactions. Herein, a stainless‐steel membrane distributor‐type DBD reactor was developed to allow the change of gas flow arrangements freely to understand their effect on plasma‐assisted CH4/CO2 co‐conversion to syngas. Variation of gas flow arrangements in the DBD reactor could regulate the reaction performance. Also, the inclusion of quartz wool in the DBD reactor could enhance the effect of gas flow arrangement compared to the plasma‐alone DBD. Especially, the DBD reactor with CO2 feed in the quartz wool‐packed discharge zone and CH4 distributed via the membrane exhibited good stability over 600 min on stream, with rather stable CO2/CH4 conversions of ~25%/20%, H2/CO selectivities of ~50%/32%, H2/CO molar ratio of 0.9–1.1, and energy efficiency of ~0.20 mmol·kJ−1 based on the conversion of feed gases.
A molecular kinetic model incorporating catalyst acidity for hydrocarbon catalytic cracking
Authors: Chen Zhengyu , Lyu Wenjin , Wang Ruipu , Li Yuming , Xu Chunming , Jiang Guiyuan , Zhang Linzhou 
Published: January 2023

AbstractThis work built a molecular‐level kinetic model for hydrocarbon catalytic cracking, incorporating the catalyst acidity as the parameter to estimate reaction rates. The n‐decane and 1‐hexene co‐conversion catalytic cracking process was chosen as the studying case. The molecular reaction network was automatically generated using a computer‐aided algorithm. A modified linear free energy relationship was proposed to estimate the activation energy in a complex reaction system. The kinetic parameters were initially regressed from the experimental data under several reaction conditions. On this basis, the product composition was evaluated for three catalytic cracking catalysts with different Si/Al. The Bronsted acid and Lewis acid as the key catalyst properties were correlated with kinetic parameters. The built model can calculate the product distribution, gasoline composition, and molecular distribution at different reaction conditions for different catalysts. This sensitive study shows that it will facilitate the model‐based optimization of catalysts and reaction conditions according to product demands.
Nonlinear model predictive control for dividing wall columns
Authors: Qian Xing , Lin Kuan‐Han , Jia Shengkun , Biegler Lorenz T. , Huang Kejin 
Published: January 2023

AbstractDividing wall columns (DWCs) are practical, effective, and promising among distillation process intensification technologies. Nonlinear model predictive control (NMPC) schemes are developed in this study to control the three‐product DWCs. As these systems are intensely interactive and highly nonlinear, NMPC may be more suitable than the traditional PI control. The model is established based on Python and Pyomo platforms. As the original mathematical model of the column section is ill‐posed, index reduction is used to avoid a high‐index differential‐algebraic equation (DAE) system. The well‐posed index‐1 system after index reduction is employed for the steady‐state simulation and dynamic control in this study. Case studies with three DWC configurations to separate the mixture of ethanol (A), n‐propanol (B), and n‐butanol (C) show that the NMPC performs very well with small maximum deviations and short settling times. This demonstrates that the NMPC is a feasible and very effective scheme to control three‐product DWCs.
Quality of life and symptoms among patients with relapsed/refractory AL amyloidosis treated with ixazomib‐dexamethasone versus physician's choice
Authors: Sanchorawala Vaishali , Wechalekar Ashutosh D. , Kim Kihyun , Schönland Stefan O. , Landau Heather J. , Kwok Fiona , Suzuki Kenshi , Dispenzieri Angela , Merlini Giampaolo , Comenzo Raymond L. , Cherepanov Dasha , Hayden Vanessa C. , Kumar Arun , Labotka Richard , Faller Douglas V. , Kastritis Efstathios 
Published: January 2023

AbstractPatient‐reported outcomes in AL amyloidosis have not been well‐studied. We analyzed health‐related quality of life (HRQOL) and AL amyloidosis symptoms data from the phase 3 TOURMALINE‐AL1 trial (NCT01659658) (ixazomib‐dexamethasone, n = 85; physician's choice of chemotherapy [PC], n = 83). HRQOL and symptom burden were measured with the SF‐36v2, Functional Assessment of Cancer Therapy/Gynecologic Oncology Group Neurotoxicity subscale (FACT/GOG‐Ntx), and an amyloidosis symptom questionnaire (ASQ). Score changes during treatment were analyzed descriptively and using repeated‐measures linear mixed models; analyses were not adjusted for multiplicity. Least‐squares (LS) mean changes from baseline were significantly higher (better HRQOL) for ixazomib‐dexamethasone at several cycles for SF‐36v2 Role Physical and Vitality subscales (p < .05); no subscales demonstrated significant differences favoring PC. For FACT/GOG‐Ntx, small but significant differences in LS mean changes favored ixazomib‐dexamethasone over PC at multiple cycles for seven items and both summary scores; significant differences favored PC for one item (trouble hearing) at multiple cycles. ASQ total score trended downward (lower burden) in both arms; significant LS mean differences favored ixazomib‐dexamethasone over PC at some cycles (p < .05). Patients with relapsed/refractory AL amyloidosis treated with ixazomib‐dexamethasone experienced HRQOL and symptoms that were similar to or trended better than patients treated with PC despite longer duration of therapy.
The past, present, and future of child growth monitoring: A review and primer for clinical genetics
Authors: Shur Natasha , Tigranyan Annie , Daymont Carrie , Regier Debra S. , Raturi Sumant , Roshan Lal Tamanna , Cleary Kevin , Summar Marshall 
Published: January 2023

AbstractChild growth measurements are critical vital signs to track, with every individual child growth curve potentially revealing a story about a child's health and well‐being. Simply put, every baby born requires basic building blocks to grow and thrive: proper nutrition, love and care, and medical health. To ensure that every child who is missing one of these vital aspects is identified, growth is traditionally measured at birth and each well‐child visit. While the blue and pink growth curves appear omnipresent in pediatric clinics, it is surprising to realize that their use only became standard of care in 1977 when the National Center for Health Statistics (NCHS) adopted the growth curve as a clinical tool for health. Behind this practice lies a socioeconomically, culturally, and politically complex interplay of individuals and institutions around the world. In this review, we highlight the often forgotten past, current state of practice, and future potential of this powerful clinical tool: the growth reference chart, with a particular focus on clinical genetics practice. The goal of this article is to understand ongoing work in the field of anthropometry (the scientific study of human measurements) and its direct impact on modern pediatric and genetic patient care.
Incorporation of concussion history as part of the LIfestyle for BRAin Health (LIBRA) modifiable factors risk score and associations with cognition in older former National Football League players
Authors: Brett Benjamin L. , Aggarwal Neelum T. , Chandran Avinash , Kerr Zachary Yukio , Walton Samuel R. , DeFreese J. D. , Guskiewicz Kevin M. , Echemendia Ruben J. , Meehan William P. , McCrea Michael A. , Mannix Rebekah 
Published: January 2023

AbstractObjectiveInvestigate associations between the LIfestyle for BRAin Health (LIBRA) risk score with odds of mild cognitive impairment (MCI) diagnosis and cognitive function, incorporating concussion history.MethodsFormer National Football League (NFL) players (N = 1050; mean age = 64.8 ± 9.0‐years) completed initial testing for integration of concussion history into LIBRA scores (i.e., modified‐LIBRA) and completed the Brief Test of Adult Cognition by Telephone (BTACT). Modified‐LIBRA score (including concussion history) associations with odds of MCI and cognitive dysfunction were assessed via logistic and linear regression.ResultsThe highest quartile LIBRA scores were six times more likely to have a diagnosis of MCI compared to the lowest quartile (OR = 6.27[3.61, 10.91], p < 0.001). Modified‐LIBRA scores significantly improved model fit for odds of MCI above original LIBRA scores (χ2(1) = 7.76, p = 0.005) and accounted for a greater fraction of variance in executive function (ΔR2 = 0.02, p = 0.003) and episodic memory (ΔR2 = 0.02, p = 0.002).ConclusionsModified‐LIBRA score, incorporating concussion history, may help monitoring risk status in former contact sport athletes, by targeting modifiable, lifestyle‐related risk factors.