bluuebunny/crossref_metadata_2025_split huggingface dataset:
CROPGRO-Cotton Model Application for Predicting Cotton Sowing Time in Nagarkurnool District of Telangana State, India
Authors: Mahadevappa S. G. 
Published: November 2023

Aims: A study was carried out to find out the optimum sowing time with the validated CROPGRO-Cotton model using DSSAT v 4.7 seasonal analysis tool under rainfed situation at mandal level in Nagarkurnool district of Telangana state, India.
Study Design: CROPGRO-Cotton model using DSSAT v 4.7 seasonal analysis tool.
Place and Duration of Study: Nagarkurnool district, 2023.
Methodology: Cotton production was affected with changing climate in several ways and its impact on rainfed agriculture was higher and influences the Indian economy. The prevailing weather conditions during different phenophases of the crop influences the seed cotton yield. There is a need to optimize the sowing time so that the timing of critical growth stages to minimize stresses and enhance resource utilization. The adjusting of sowing environment proved to be an adaptation management technique for realising higher seed cotton yield.
A well calibrated and validated model was used for long term simulations using DSSAT seasonal analysis tool programme with Mallika Bt as test variety for 100 different scenarios (20 mandals × 5 sowing dates) using 32 years historical daily weather data from 1991 to 2022 starting sowing time from 1st June to 1st August at 15 days interval in twenty mandals of the district.
Results: The simulation results showed, significantly higher seed cotton yield (1505 kg ha-1) was predicted with crop sown on 1st June followed by 1st July sown crop (1337 kg/ha) which was comparable with 16th June (1324 kg/ha) and significantly differed with delayed sowings of 16th July sown crop (1203 kg/ha) and 1st August sown crop (1192 kg/ha). Among the different mandals of the district, the model simulated higher seed cotton yield (2136-2530 kg/ha) in Amrabad mandal and lower yields in Thimmajipet mandal (596-997 kg/ha) under different sowing environments.
Conclusion: Based on simulation scenarios, higher seed cotton yield can be obtained when crop sown between 1st June to 1st July in different mandals of the Nagarkurnool district of Telangana State. The mandals which have less yield potential and realising poor yields by the farmers can be advocated with location specific alternate best management practices to get the higher cotton yield.
Soil Acidification in Cocoa (Theobrama cocoa) Agrosystems in Côte d’Ivoire (I): Effect of Carbonate Based Mineral Amendments on Soil Chemical Properties and Growth of Cocoa Seedlings (Theobrama cocoa)
Authors: Bolou-Bi Emile B. , Ettien Jean Baptiste D. , Konan Annicet K. 
Published: November 2023

Soil acidification is a major concern in Côte d'Ivoire. The present study examines the effect of an amendment based on crushed carbonate rock (dolomite and limestone) on soil chemistry and cocoa plant growth. To this end, cocoa seedlings were grown under controlled conditions under cover on soils taken from cocoa orchards in Aboisso (south-eastern Côte d'Ivoire). Soils were sampled at 0-20 cm, 20-40 cm and 40-60 cm. A representative composite sample of each horizon was then taken in a soil column. The experimental trial was conducted in total randomization with six repeated treatments (Dolomite 100%, Limestone 100%, Dolomite 50% + Limestone 50%) compared with the control, soil without amendment. After six months, the results showed that the application of carbonate did not induce a significant difference (p > 0.05) in cocoa seedlings growth. However, the amended soil showed improvement chemical properties compared to unamended soil. Soil treatments with limestone improved soil base cation content, CEC and pH, but all these parameters measured still lower to minimum threshold values for good cocoa tree growth. These results showed that the combination of dolomite and limestone appears to be the amendment with the greatest potential for improving the fertility of acid soils under cocoa. Field investigations should then be undertaken to assess the effect of this carbonate combination on soil acidity and fertility under natural conditions.
Tunable Anisotropic Structural Aramid Triboelectric Aerogels Enabled by Magnetic Manipulation
Authors: Chi Mingchao , Zhang Song , Liu Tao , Liu Yanhua , Luo Bin , Wang Jinlong , Cai Chenchen , Meng Xiangjiang , Wang Shuangfei , Duan Qingshan , Nie Shuangxi 
Published: November 2023

AbstractMaterial designs for wearable sensors are increasingly important due to variable application scenarios and environmental disturbances. The high temperatures pose a significant challenge to the performance of sensing materials. The reasonable anisotropic structure in materials is recognized as a promising approach to address this challenge. Precise control of the orientation of the material remains difficult, owing to the entropy effect. In this work, a tunable anisotropic triboelectric aerogel via an in situ coupled magnetic alignment and protonation reduction strategy is demonstrated. The designed orientation with a fitting degree of 98% can effectively suppress electron thermionic emission, which enables the surface charge density to reach 75 µC m−2 at 300 °C. Such a perfect coordination between self‐powered sensing and thermostability innovates multifunctional wearable sensing design at high temperatures, allowing aramid‐based aerogel to be a candidate for advanced sensing materials for applications in the military and aerospace fields.
Formation of Hierarchical Zn/N‐doped Carbon Hollow Nanofibers towards Dendrite‐Free Zn Metal Anodes
Authors: Yu Huan , Yao Haixin , Zheng Yaqi , Liu Dan , Chen Jun Song , Guo Yan , Li Nian Wu , Yu Le 
Published: November 2023

AbstractRechargeable aqueous Zn metal batteries are considered as promising next‐generation energy storage device because of their intrinsic safety and low cost. Nonetheless, the poor lifespan stemming from uncontrollable dendrite growth and inevitable parasitic reactions of metallic Zn impede their large‐scale application. Herein, the formation of the hierarchical lotus root‐like Zn/N‐doped carbon hollow nanofibers‐based paper is reported decorated with interconnected Zn/N‐doped carbon nanocages (denoted as LRZCF@ZCC) as a freestanding host with multifunctionality for Zn metal anode. Of note, the interconnected porous structure mitigates the internal stress to ensure robust structure. Besides, the concave surface of inner LRZCF@ZCC channel facilitates the nucleation of Zn2+ to geometrically guide the Zn deposition. Meanwhile, the well‐distributed metallic Zn and N‐doped carbon species can serve as the zincophilic sites to reduce the nucleation overpotential and avoid the evolution of hydrogen bubbles. As expected, the LRZCF@ZCC exhibits low polarization for the controllable Zn deposition with small voltage hysteresis. Both the symmetric cell and the full cell using this unique host demonstrate long‐term cycling duration and enhanced rate capability.
Engineering Antimicrobial Metal–Phenolic Network Nanoparticles with High Biocompatibility for Wound Healing
Authors: Yu Rongxin , Chen Hongping , He Jian , Zhang Zhichao , Zhou Jiajing , Zheng Qinqin , Fu Zhouping , Lu Chengyin , Lin Zhixing , Caruso Frank , Zhang Xiangchun 
Published: November 2023

AbstractAntibiotic‐resistant bacteria pose a global health threat by causing persistent and recurrent microbial infections. To address this issue, antimicrobial nanoparticles (NPs) with low drug resistance but potent bactericidal effects have been developed. However, many of the developed NPs display poor biosafety and their synthesis often involves complex procedures and the antimicrobial modes of action are unclear. Herein, a simple strategy is reported for designing antimicrobial metal‒phenolic network (am‐MPN) NPs through the one‐step assembly of a seeding agent (diethyldithiocarbamate), natural polyphenols, and metal ions (e.g., Cu2+) in aqueous solution. The Cu2+‐based am‐MPN NPs display lower Cu2+ antimicrobial concentrations (by 10–1000 times) lower than most reported nanomaterials and negligible toxicity across various models, including, cells, blood, zebrafish, and mice. Multiple antimicrobial modes of the NPs have been identified, including bacterial wall disruption, reactive oxygen species production, and quinoprotein formation, with the latter being a distinct pathway identified for the antimicrobial activity of the polyphenol‐based am‐MPN NPs. The NPs exhibit excellent performance against multidrug‐resistant bacteria (e.g., methicillin‐resistant Staphylococcus aureus (MRSA)), efficiently inhibit and destroy bacterial biofilms, and promote the healing of MRSA‐infected skin wounds. This study provides insights on the antimicrobial properties of metal‒phenolic materials and the rational design of antimicrobial metal‒organic materials.
Scalable Non‐Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation
Authors: Varri Akhil , Taheriniya Shabnam , Brückerhoff‐Plückelmann Frank , Bente Ivonne , Farmakidis Nikolaos , Bernhardt Daniel , Rösner Harald , Kruth Maximilian , Nadzeyka Achim , Richter Torsten , Wright Christopher David , Bhaskaran Harish , Wilde Gerhard , Pernice Wolfram H. P. 
Published: November 2023

AbstractPhotonic integrated circuits (PICs) are revolutionizing the realm of information technology, promising unprecedented speeds and efficiency in data processing and optical communication. However, the nanoscale precision required to fabricate these circuits at scale presents significant challenges, due to the need to maintain consistency across wavelength‐selective components, which necessitates individualized adjustments after fabrication. Harnessing spectral alignment by automated silicon ion implantation, in this work scalable and non‐volatile photonic computational memories are demonstrated in high‐quality resonant devices. Precise spectral trimming of large‐scale photonic ensembles from a few picometers to several nanometres is achieved with long‐term stability and marginal loss penalty. Based on this approach, spectrally aligned photonic memory and computing systems for general matrix multiplication are demonstrated, enabling wavelength multiplexed integrated architectures at large scales.
Direct Utilization of Expired Waste Acetaminophen as Organic Anode in Lithium‐Ion Batteries
Authors: Kim Yonghwan , Hwang Seon Jae , Kim Dohyeong , Park Jeehye , Kim Yoonbin , Kim Junsu , Bae Minjun , Hong Hwichan , Park Seungman , Park Jungjin , Maeng Ji Young , Lee Jaeyeon , Park Ho Seok , Lee Jeongyeon , Piao Yuanzhe 
Published: November 2023

AbstractDrug disposal and abuse are increasing every year, and the use of drugs has recently reached its peak due to COVID‐19. However, there still remains a lack of awareness regarding the proper disposal of waste medications, and if not properly disposed of, these complex chemical structures can have severe environmental impacts. Furthermore, as this waste contains chemically valuable substances, a recycling strategy is needed. To address this issue, the potential of reusing expired commercial acetaminophen tablets as freeze‐dried acetaminophen (FAP) for a lithium‐ion battery (LIB) anode material is investigated. The Li storage mechanism and electrochemical performance are investigated via density functional theory, ex situ Fourier‐transform infrared spectroscopy, galvanostatic discharge/charge analysis, and cyclic voltammetry. The FAP anode exhibited the excellent electrochemical performances and cycle stability. This study will present a new recycling approach, and the results demonstrate the application potential of waste medications in LIBs, which can contribute to resource recovery and the circular economy.
Flexible Wearable Ti3C2Tx Composite Carbon Fabric Textile with Infrared Stealth and Electromagnetic Interference Shielding Effect
Authors: Chen Mingxing , Jiang Xinpeng , Huang Jie , Yang Junbo , Wu Jiagui , Liang Yiming , Wang Tianwu , Yan Peiguang 
Published: November 2023

AbstractTi3C2Tx materials have been developed to have application space in many fields, but there are not many works that can be compatible with infrared (IR) stealth and electromagnetic interference (EMI) shielding at the same time. To realize the multiband high EMI shielding of Ti3C2Tx materials, and to achieve stealth effect in the IR band, in this work, a composite textile is prepared by combining the Ti3C2Tx material with a carbon cloth and sputtering a very thin gold film on the surface. This composite textile can realize high EMI shielding compatible with IR stealth, in which the EMI shielding efficiency for microwave Xa‐band (8GHza‐12.4GHz) is up to 71.8 dB, for microwave Kaa‐band (26.5GHza‐40GHz) is up to 75.02 dB, and for terahertza‐band is about 30 dB. IR emissivity is as low as 0.1, and the lowest emissivity under a certain temperature reaches 0.07, which can withstand a high temperature of 500 °C. In addition, this composite textile has flexible and bendable wear. The thickness of the whole textile is about 400 µm, of which the Ti3C2Tx material thickness is only about 10 µm, the thinnest reaches 2 µm. Such a textile can be used in both people's livelihood and military applications, which has far‐reaching significance.
Metasurface‐Based Structured Light Sensing Without Triangulation
Authors: Li Chengzhi , Li Xin , He Cong , Geng Guangzhou , Li Junjie , Jing Xiaoli , Wang Yongtian , Huang Lingling 
Published: November 2023

AbstractStructured light (SL) sensing technology, based on the triangulation principle, is widely employed for depth perception in various applications such as face recognition, human‐computer interaction, machine vision, and more. In this approach, the baseline length, which refers to the distance between the projection device and the camera, is a critical parameter that affects depth measurement and system miniaturization. Recently, metasurfaces have emerged as promising devices for constructing compact optoelectronic systems due to their excellent performance in wavefront modulation of light and ultra‐thin characteristics. In this study, a metasurface‐based monocular SL depth detection scheme is proposed that incorporates a specially designed 3D holographic projection. Under this projected light field, the entire 3D space is labeled, and depth information can be obtained without considering the baseline length, which can further reduce the volume of SL systems. Additionally, a template‐matching algorithm based on correlation coefficient analysis is developed and experimentally demonstrates its feasibility by precisely positioning objects. It is believed that this work opens up a new perspective for compact, lightweight, and flexible design of SL sensing systems, and has a promising future in quantitative detection, automatic location, and industrial measurement.
A Spatiotemporal Cascade Platform for Multidimensional Information Encryption and Anti‐Counterfeiting Mechanisms
Authors: Zuo Maocheng , Zou Shuqi , Gao Yu , Zhou Dun , Zhang Kongqing , Li Xiaobai , Ma Hongwei , Li Bin , Huang Wei 
Published: November 2023

AbstractThe efficient collaboration of light tunability and intelligent deformation of fluorescent materials can create an advanced spatiotemporal cascade platform that enables multi‐level and multidimensional information storage and encryption. Here, cellulose‐based dynamic double‐network hydrogels with excitation‐dependent (Ex‐De) behavior are proposed. The mechanism of multi‐channel radiative relaxation and multiple excited state transition of the photoactive component 4′‐([2,2′:6′,2″‐terpyridin]−4′‐yl)‐[1,1′‐biphenyl]−4‐carbaldehyde (TPy‐CHO) has been established, and a desirable regulation of excitation energy (wavelength, intensity) on the time scale for multi‐level encryption has been achieved. Notably, the dense hydrogen bonds and non‐covalent interactions in polymer networks not only enhance the Ex‐De behavior, but also provide excellent optical resolution and richer polychromic fluorescence. Even ideal cold white fluorescence is obtained through energy transfer between organic (TPy‐CHO) and inorganic (lanthanide ion) hybrid materials. Simultaneously, this unique network structure endows the hydrogel with temperature‐mediated self‐healing, controllable shape programming behavior and anti‐swelling ability, allowing to achieve dynamic multidimensional information encryption capability. The encoded information can reversibly emerge and disappear, allowing for instantaneous on‐demand decryption and intelligent re‐writability. As a result, a promising multi‐level and multidimensional synergistic anti‐counterfeiting mechanism is established through the cascade process of “spatial security‐ light trigger‐ fluorescence multilevel output‐temporal rewriting”.
Prediction of Quantum Yields of Monolayer WS2 by Machine Learning
Authors: Khor Jolene W. P. , Tran Trang Thu , Sharbirin Anir S. , Yap Sammy X. B. , Choo Hyunseung , Kim Jeongyong 
Published: November 2023

AbstractMonolayer transition metal dichalcogenides (1L‐TMDs) exhibits distinct light emissions in the visible range, making them suitable for 2D optoelectronic applications. Photoluminescence quantum yield (PLQY) is a key factor for practical applications of 1L‐TMDs. However, the methods for PLQY measurements of 1L‐TMDs suffer from limitations due to the small sample size and typically low PLQY, which require a complex measurement setup. In this study, machine learning (ML) models are developed to predict the PLQY of monolayer tungsten disulfide (1L‐WS2) using data extracted from 1208 PL spectra and corresponding measurement conditions as the ML training and testing data set. The ML model shows a high accuracy with R2 value of 0.744 and a mean absolute percentage error of 44% in the prediction of widely ranged PLQYs of 1L‐WS2 from 0.07% to 38%. This data‐driven prediction not only enables the convenient PLQY estimation of 1L‐TMDs, but also helps in identifying key parameters influencing PLQYs.
Striking Change in Radiative Lifetime and Asymmetry Ratio with Temperature for the Double Perovskite Cs2NaEuCl6
Authors: Xiao Daiwen , Kai Hei‐Yui , Jia Guohua , Wong Ka‐Leung , Tanner Peter A. 
Published: November 2023

AbstractThe measurement of quantum yield (QY) is an important process for a phosphor. This is often accomplished by the comparison of the low‐temperature lifetime with the room temperature (RT) lifetime. It is shown that this procedure provides a considerable underestimation of QY in certain cases. Additionally, the use of the europium ion as an indicator of changes in site symmetry with temperature has severe limitations. This work reveals that a decrease in measured lifetime with increasing temperature of a system cannot always be associated with a descent in site symmetry and may be due to increasing radiative rate.
2D Solid‐Electrolyte Interphase Built by High‐Concentration Polymer Electrolyte for Highly Reversible Silicon Anodes
Authors: Wang Yuxiao , Li Tianyu , Yang Xiaofei , Yin Qianwen , Wang Shaogang , Zhang Hongzhang , Li Xianfeng 
Published: November 2023

AbstractSilicon anodes with a high capacity of 4200 mAh g−1 and a low potential of 0.3 V (vs Li+/Li) enable lithium‐ion batteries with improved energy density. However, the thickened 3D solid‐electrolyte interphase (SEI) formation on Si particles in the liquid electrolytes consumes the electrolyte/active Si and blocks the Li+/e− transport, resulting in fast capacity fading. Herein, a high‐concentration polymer electrolyte (HCPE) is designed to build 2D SEI on the Si anode surface instead of the particles, which accommodates the volume change and maintains the continuous Li+/e− transport pathways as well. The retarding effect of NO3− lowers the polymerization rate of 1,3‐dioxolane (DOL), enabling 6 m LiFSI dissolution. The high concentration of LiFSI takes part in constructing the solvation structure and pulls the DOL away, reducing the decomposition of DOL and poly‐DOL (PDOL) and inducing the generation of a LiF‐ and Li3N‐rich SEI with high mechanical strength and fast Li+ transport capability. As a result, the cell using HCPE delivers a high capacity of 1765 mAh g−1 at 2C and maintains a high capacity of 2000 mAh g−1 after 100 cycles at 0.2C, which is superior to that of a liquid electrolyte (617 mAh g−1) and a low‐concentration polymer electrolyte (45 mAh g−1).
Risk factors for symptom relapse in patients with Los Angeles Grade A/B erosive esophagitis
Authors: Shih Chih‐An , Chuah Seng‐Kee , Hsu Ping‐I , Lu Ching‐Liang , Kao Sung‐Shuo , Tai Wei‐Chen , Wu I‐Ting , Tsai Kun‐Feng , Huang Wen‐Wei , Tang Sheng‐Yeh , Kuo Li‐Fu , Shie Chang‐Bih , Kuo Chao‐Hung , Wu Deng‐Chyang 
Published: November 2023

AbstractRecurrence of reflux symptoms following discontinuing proton pump inhibitor therapy is a common problem in the treatment of gastroesophageal reflux disease. We aim (1) to examine the cumulative 12‐week incidence of symptom relapse following 8‐week proton pump inhibitor therapy in patients with Los Angeles grade A/B erosive esophagitis and (2) to search the risk factors predicting symptom relapse in the treatment of erosive esophagitis. From June 2010 to May 2019, patients with Los Angeles Grade A/B erosive esophagitis receiving esomeprazole therapy (40 mg qd) for 8 weeks followed by complete symptom resolution were included in this study. Subjects received on‐demand esomeprazole treatment for 12 weeks and underwent prospective follow‐up for reflux symptoms. 12‐week cumulative incidence of symptom relapse was assessed, and predictive risk factors for symptom relapse were determined by multivariate analysis. 219 patients with Los Angeles Grade A/B erosive esophagitis who achieved complete symptom resolution following 8‐week esomeprazole therapy were enrolled. During the 12‐week follow‐up period, 110 patients (50.2%) developed symptom relapse. Univariate analysis showed that symptom relapse was significantly associated with advanced age, smoking, and the presence of heartburn (p = .003, .015, and .042, respectively). Multivariate analysis with stepwise logistic regression showed that only advanced age (95% confidence interval [CI]: 1.45–5.15) and smoking (95% CI: 1.30–6.58) were independent factors predicting symptom relapse with odds ratios of 2.74 and 2.92, respectively. The 12‐week cumulative incidence of symptom relapse following initial proton pump inhibitor treatment in patients with Los Angeles grade A/B erosive esophagitis is 50.2%. Advanced age and smoking are independent risk factors predicting symptom relapse following treatment in patients with mild erosive esophagitis.
Low‐Hysteresis and High‐Toughness Hydrogels Regulated by Porous Cationic Polymers: the Effect of Counteranions
Authors: Xiong Jiaofeng , Wang Xiaowei , Li Lingling , Li Qingning , Zheng Sijie , Liu Ziyang , Li Weizheng , Yan Feng 
Published: November 2023

AbstractService life and range of polymer materials is heavily reliant on their elasticity and mechanical stability under long‐term loading. Slippage of chain segments under load leads to significant hysteresis of the hydrogels, limiting its repeatability and mechanical stability. Achieving the desired elasticity exceeding that of rubber is a great challenge for hydrogels, particularly when subjected to large deformations. Here, low‐hysteresis and high‐toughness hydrogels were developed through controllable interactions of porous cationic polymers (PCPs) with adjustable counteranions, including reversible bonding of PCP frameworks/polymer segments (polyacrylamide, PAAm) and counteranions/PAAm. This strategy reduces chain segment slippage under load, endowing the PCP‐based hydrogels (PCP‐gels) with good elasticity under large deformations (7 % hysteresis at a strain ratio of 40). Furthermore, due to the enlarged chain segments entanglement by PCP, the PCP‐gels exhibit large strain (13000 %), significantly enhanced toughness (68 MJ m−3), high fracture energy (43.1 kJ m−2), and fatigue resistance. The unique properties of these elastic PCP‐gels have promising applications in the field of flexible sensors.