bluuebunny/crossref_metadata_2025_split huggingface dataset:
24.2% efficient POLO back junction solar cell with an AlOx/SiNy dielectric stack from an industrial‐scale direct plasma‐enhanced chemical vapor deposition system
Authors: Min Byungsul , Mertens Verena , Larionova Yevgeniya , Pernau Thomas , Haverkamp Helge , Dullweber Thorsten , Peibst Robby , Brendel Rolf 
Published: June 2024

AbstractAn aluminum oxide (AlOx)/silicon nitride (SiNy) dielectric stack was developed using an industrial plasma‐enhanced chemical vapor deposition (PECVD) system with low‐frequency (LF) plasma source for the surface passivation of undiffused textured p‐type crystalline silicon. The median recombination current density is 4.3 fA cm−2 as determined from photoconductance decay lifetime measurements and numerical device modeling. To the best of our knowledge, this is the first time to present a high‐quality LF‐PECVD AlOx/SiNy passivation stack on undiffused textured p‐type crystalline silicon wafers, which are cleaned with industrial processes using HF, HCl, and O3. The simulation agrees well with the measured effective carrier lifetime if the velocity parameters of 5.6 cm s−1 for holes and 803 cm s−1 for electrons are applied with a fixed negative charge density of −3 × 1012 cm−2. The process integration of developed AlOx/SiNy dielectric stack is successfully demonstrated by fabricating p‐type back junction solar cells featuring a poly‐Si‐based passivating contact at the cell rear side. As the best cell efficiency, we achieve 24.2% with an open‐circuit voltage of 725 mV on a M2‐sized Ga‐doped p‐type Czochralski‐grown Si wafer as independently confirmed by ISFH CalTeC.
Development of self‐cleaning and antibacterial properties on cotton fabric using silver nanoparticles and PFOTS
Authors: Khan Mahnoor , Saeed Muhammad Adnan , Ullah Sultan , Repon Md. Reazuddin , Pranta Arnob Dhar , Yunusov Nurzod , Hossain Md Monir 
Published: June 2024

AbstractThe demand for superhydrophobic fabric with self‐cleaning and antibacterial features as potential practical applications has been rising steadily with the passage of time. In this research work, the wet chemical method is used to manufacture cotton with a superhydrophobic coating. Thus, Nanoparticles of silver were produced by using an in situ method. Afterward, the fabric is treated with a solution of perfluorooctyltriethoxysilane to make it superhydrophobic. The cotton fabric performs remarkably with exceptional hydrophobicity as it had a contact angle of 157 ± 1° and less than 10° in sliding angle. Water droplet's dynamic behavior is also studied so that the superhydrophobic fabric development can be proven. The fabric shows excellent chemical durability by performing chemical tests. The antimicrobial and self‐cleaning properties are greatly enhanced by the superhydrophobic coating on cotton. Particle density on the superhydrophobic cotton before and after self‐cleaning was found 5.1 and 0.4 mg/cm2. In addition, the treated cotton fabric also exhibited superior antibacterial properties against Escherichia coli bacteria. Therefore, the developed multifunctional cotton fabric can be used in real‐life applications.Highlights
Cotton fabric enables to repelling of dirt, oil, and water‐based stains more effectively.
Silver nanoparticles possess potent antibacterial properties.
Incorporation of PFOTS controls the release of silver into the environment.
Versatile applications from healthcare and hospitality to outdoor and athletic apparel.
A color morph‐specific salivary carotenoid desaturase enhances plant photosynthesis and facilitates phloem feeding of Myzus persicae (Sulzer)
Authors: Ge Panpan , Guo Huijuan , Li Danyang , Zhu‐Salzman Keyan , Sun Yucheng 
Published: June 2024

AbstractBACKGROUNDBody‐color polymorphisms in insects are often explained by environmental selective advantages. Differential fitness related to body coloration has been demonstrated in Myzus persicae (Sulzer): performance of the red morph is in general better than that of the green morph on tobacco plants. However, the molecular mechanism involved is largely unclear.RESULTSHere we showed that the red morph of M. persicae had higher expression of a carotenoid desaturase CarD763 in the whole body, salivary gland and saliva relative to the green morph. Also, 18% individuals displayed faded red body color 5 days post dsCarD763 treatment. Furthermore, knockdown of CarD763 in the red morph significantly prolonged the time needed to locate phloem and shortened the duration of phloem feeding. Honeydew production and survival rate decreased as well. In contrast, overexpression of CarD763 in tobacco leaves facilitated aphid feeding, enhanced honeydew production and improved the survival rate of aphids. Compared with those fed by dsGFP aphids, plants infested by dsCarD763‐treated aphids had higher ROS accumulation, lower lycopene content and photosynthetic rate, and maximum photon quantum yield. The reverse was true when plants overexpressed CarD763.CONCLUSIONThese findings demonstrated that CarD763, a red morph‐specific salivary protein, could enhance aphid feeding and early colonization by promoting plant photosynthesis. © 2024 Society of Chemical Industry.
Daidzin and its de‐glycosylated constituent daidzein as a potential therapeutic for cardiovascular diseases: A review from bench to bed
Authors: Akhlaghipour Iman , Nasimi Shad Arya , Askari Vahid Reza , Baradaran Rahimi Vafa 
Published: June 2024

AbstractContinuing research is being conducted on novel preventive and therapeutic drugs for cardiovascular diseases (CVDs). Daidzein has shown potential beneficial effects regarding various CVDs and risk factors. However, data in this regard are inconsistent, and there is an urge to accumulate. Therefore, we reviewed the effects of daidzein and daidzin on CVDs. We conducted a search through Scopus, PubMed, Google Scholar, and Web of Science from inception up to October 2023 to find studies with the primary intention of assessing the impacts of daidzein and daidzin on cardiovascular disease in various in vitro, animal, and clinical settings. In vitro and animal studies showed that daidzein and daidzin are effective in terms of reducing inflammation, oxidative stress, hyperlipidemia, myocardial infarction, thromboembolism, hypertension, and aneurysms. However, clinical studies only confirmed a relatively small portion of the previous findings of the in vitro and animal investigations, including anti‐hyperlipidemic effects. In conclusion, in vitro and animal studies have reported potential therapeutic effects for daidzein and daidzin regarding CVDs. However, most of the clinical studies were unable to exhibit the same results. Hence, further clinical studies are required to determine the outcomes of administering daidzein and its derivatives for an extended period and in various doses.
Proper choice of location cumulative sum control charts for different environments
Authors: Nazir Hafiz Zafar , Ikram Muhammad , Amir Muhammad Wasim , Akhtar Noureen , Abbas Zameer , Riaz Muhammad 
Published: June 2024

AbstractIn the field of quality control, statistical process control (SPC) has its significance. The control charts are important tools of the SPC to observe the outputs of the production process. The cumulative sum (CUSUM) charting structure is one such technique that is designed to identify the medium and slight changes in the process parameters. In the literature, the assumption of normality is considered ideal for the control chart but in practice, many quality characteristics do not follow the assumption of normality. The current study proposes a class of CUSUM control charts for the location parameter of the process and investigates the performance of said location charts based on ranked set sampling (RSS) for quality characteristics having different environments. Different point estimators of location are considered in this study to develop the location control charts under normal, and a variety of non‐normal environments. The numerical results show that the newly designed schemes perform uniformly well than their competitors. A real‐life example linked with the manufacturing process is also provided for the practical implementation of the proposed scheme.
A penalized integrative deep neural network for variable selection among multiple omics datasets
Authors: Li Yang , Ren Xiaonan , Yu Haochen , Sun Tao , Ma Shuangge 
Published: June 2024

AbstractDeep learning has been increasingly popular in omics data analysis. Recent works incorporating variable selection into deep learning have greatly enhanced the model’s interpretability. However, because deep learning desires a large sample size, the existing methods may result in uncertain findings when the dataset has a small sample size, commonly seen in omics data analysis. With the explosion and availability of omics data from multiple populations/studies, the existing methods naively pool them into one dataset to enhance the sample size while ignoring that variable structures can differ across datasets, which might lead to inaccurate variable selection results. We propose a penalized integrative deep neural network (PIN) to simultaneously select important variables from multiple datasets. PIN directly aggregates multiple datasets as input and considers both homogeneity and heterogeneity situations among multiple datasets in an integrative analysis framework. Results from extensive simulation studies and applications of PIN to gene expression datasets from elders with different cognitive statuses or ovarian cancer patients at different stages demonstrate that PIN outperforms existing methods with considerably improved performance among multiple datasets. The source code is freely available on Github (rucliyang/PINFunc). We speculate that the proposed PIN method will promote the identification of disease‐related important variables based on multiple studies/datasets from diverse origins.
Association between children's feeding practices and the nutritional status of children 6–23 months in Lao PDR: Evidence from the Provincial Household Survey 2022
Authors: Taylor Kyle , Sananikhom Pany , Thiengthepvongsa Ousavanh , Blomberg Janneke Hartvig , Dakurah Prosper , Viphongxay Vilon 
Published: June 2024

AbstractPurposeTo investigate the association between children's feeding practices and the nutritional status of children 6–23 months in Lao PDR.MethodThe study is based on the latest Provincial Household Survey 2022 (PHS 2022). The WHO's guidelines were used to define nutritional status. If height‐for‐age (HAZ), weight‐for‐height (WHZ) and weight‐for‐age (WAZ) z‐scores were below −2, children were considered stunted, wasted and underweight, respectively. Minimum meal frequency (MMF) was considered if breastfeeding children consumed soft foods two times per day for infants 6–8 months and three times for children 9–23 months, and that nonbreastfeeding children consumed solid, semisolid, soft foods or milk feeds four times for children aged 6–23 months the previous day. A child was regarded to have a minimum dietary diversity (MDD) if they had consumed foods from at least five of the eight main groups the previous day. Minimum acceptable diet (MAD) was considered if children aged 6–23 months had at least the MMF and the MDD indicators in the previous 24 h.ResultsThere was a significant (p < 0.05) positive relationship between MAD and stunting among children aged 6–23 months. Regarding the predictors of MMF, MDD and MAD, the probability of MDD and MAD increased with the child's age, whereas MMF decreased. We found that the higher the mother's education, the probability of their children attaining MDD, MMF and MAD increased. A significant negative relationship was observed among children living in rural areas with MMF, MDD and MAD. Our analysis also found that children who were not currently breastfed were less likely to meet MMF, MDD and MAD compared with children who were currently breastfed.ConclusionInterventions for infant and young child feeding (IYFC) in Lao PDR, with a particular emphasis on rural households, mothers with little to no education, and new parents, should be targeted for future nutrition interventions to increase optimal feeding practices among the children.
Event‐triggered model‐free adaptive SMC for nonlinear NCSs with deception attacks
Authors: Zhang Ning , Niu Yugang , Lv Xinyu 
Published: June 2024

AbstractThis work presents an event‐triggered model‐free adaptive sliding mode control (MFASMC) strategy for nonlinear networked control systems (NCSs) without and with deception attacks. First, a time‐varying pseudo‐partial derivative is introduced to transform the nonlinear NCSs into a linearized model. In the secure environment without attacks, an event‐triggered MFASMC law is proposed based on the designed sliding surface. Then, considering that the transmitted signal is vulnerable to deception attacks, it assumes that the attacker injects false data into the output signal in a probabilistic manner. Under this case, the above event‐triggered MFASMC scheme is implemented by means of attacked output signals. And the network burden can be reduced while ensuring the reachability of the specified sliding surface and the output tracking performance. The key feature of the proposed MFASMC algorithm is that secure tracking control can be achieved using only input/output data without relying on any model information. Finally, the proposed control strategy is verified via the steam‐water heat exchanger.
Signal‐to‐noise ratio estimation for broadband satellite‐to‐ground communication based on time‐domain channel impulse response reconstruction
Authors: Zhao Yuanfan , Ju Cheng , Wang Dongdong , Liu Na , Guan Luyang , Xie Peng 
Published: June 2024

SummarySignal‐to‐noise ratio (SNR) estimation is crucial for spectrum management and data transmission. However, the existing classical methods in satellite‐to‐ground (SG) communication links, particularly for broadband transmission and under ultra‐low SNR conditions, often encounter substantial estimation errors. In this paper, a novel SNR estimation method based on time‐domain channel impulse response (CIR) reconstruction is proposed. Least square (LS) algorithm in frequency domain and inverse fast Fourier transform (IFFT) with a rectangular window are employed to reconstructed CIR. The noise energy is calculated by computing the average energy outside the window. The signal power is obtained by subtracting the noise energy from the total energy inside the window. In addition, a numerical simulation with a signal bandwidth of 400 MHz is performed to evaluate the effectiveness of the proposed algorithm in real SG communication scenarios. The simulation results show that compared with existing classical methods, even under ultra‐low SNR conditions, the proposed algorithm exhibits more accurate estimation ability and stronger resistance to frequency offset interference in nonterrestrial network (NTN) channels.
Does sustainable recruitment enhance motivation? A cross‐country analysis on the role of person‐organization fit
Authors: Carballo‐Penela Adolfo , Ruzo‐Sanmartín Emilio , García‐Chas Romina , Troilo Fernando 
Published: June 2024

AbstractThis paper analyses the extent to which implementing sustainable recruitment practices (SRP) relates to person‐organization (P‐O) fit and motivation. We also examined the extent to which the collectivism and masculinity dimensions of national culture moderate the relationship between SRP and P‐O fit. Drawing on the attraction‐selection‐attrition framework, social identity theory and stakeholder theory, the proposed hypotheses were tested in a sample of 534 prospective employees from four countries with different cultural contexts. An experimental design was used to test the proposed relationships. The obtained findings highlight the mediating role of P‐O fit in the relationship between SRP and motivation. Collectivism and masculinity moderate the relationship between SRP and P‐O fit. We contribute to prior research by demonstrating a link between perceptions of environmental and social sustainability and motivation, and the consideration of different countries allowed us to underline the role of national context when examining the impact of SRP.
A Bifunctional Novel Bipyridine Bridged Dicobaloxime Complex for Electrochemical Proton Reduction and Toxic Metanil Yellow Dye Detection
Authors: Sundaresan Sumi , Sowmya Subramanian , Vijaikanth Vijendran 
Published: June 2024

AbstractA new bipyridine bridged dicobaloxime complex BrCo(dpgh)2(4,4’‐bipyridine)Co(dpgH)2Br was synthesized and characterized by standard spectroscopic techniques. The synthesized complex was employed as an electrocatalyst for the proton reduction in the presence of acetic acid as an acid source. The catalytic efficiency was calculated to be 0.379. Subsequently the nanocomposite of the complex was prepared with g‐C3N4 nanosheet by hydrothermal method and the composite material was characterized by standard physical characterization techniques. When the nanocomposite was employed as a catalyst for electrochemical sensing of toxic food color Metanil yellow dye using gold electrode, the LOD value was found to be 0.09 nM. These studies show that the dicobaloxime acts as a bifunctional catalyst towards electrochemical proton reduction and for the detection of Metanil yellow dye.
Dual Chalcogen‐Bonding Interaction for High‐Performance Filterless Narrowband Organic Photodetectors
Authors: Kim Hyeong‐Ju , Kim Bongsu , Yun Sungyoung , Yun Dong‐Jin , Choi Taejin , Lee Sangjun , Minami Daiki , Heo Chul‐Joon , Lim Juhyung , Shibuya Hiromasa , Lim Younhee , Shin Jisoo , Hong Hyerim , Park Jeong‐Il , Fang Feifei , Seo Hwijoung , Yi Jeoungin , Park Sangho , Lee Hyun Hwi , Park Kyung‐Bae 
Published: June 2024

AbstractA novel green‐absorbing organic molecule featuring dual intramolecular chalcogen bonds is synthesized and characterized. This molecule incorporates two such bonds: one between a tellurium atom and the oxygen atom of a carbonyl moiety, and the other between the tellurium atom and the adjacent nitrogen atom within a pyridine moiety. The molecule, featuring dual intramolecular chalcogen bonds exhibits a narrow absorption spectrum and elevated absorption coefficients, closely aligned with a resonance parameter of approximately 0.5. This behavior is due to its cyanine‐like characteristics and favorable electrical properties, which are a direct result of its rigid, planar molecular structure. Therefore, this organic molecule forming dual intramolecular chalcogen bonds achieves superior optoelectronic performance in green‐selective photodetectors, boasting an external quantum efficiency of over 65% and a full‐width at half maximum of less than 95 nm while maintaining the performance after 1000 h of heating aging at 85 °C. Such organic photodetectors are poised to enhance stacked organic photodetector‐on‐silicon hybrid image sensors, paving the way for the next‐generation of high‐resolution and high‐sensitivity image sensors.
[n]Cycloparaphenylenes as Compatible Fluorophores for Melt Electrowriting
Authors: Hall Patrick C. , Reid Harrison W. , Liashenko Ievgenii , Tandon Biranche , O'Neill Kelly L. , Paxton Naomi C. , Lindberg Gabriella C. J. , Jasti Ramesh , Dalton Paul D. 
Published: June 2024

AbstractFluorescent probes are an indispensable tool in the realm of bioimaging technologies, providing valuable insights into the assessment of biomaterial integrity and structural properties. However, incorporating fluorophores into scaffolds made from melt electrowriting (MEW) poses a challenge due to the sustained, elevated temperatures that this processing technique requires. In this context, [n]cycloparaphenylenes ([n]CPPs) serve as excellent fluorophores for MEW processing with the additional benefit of customizable emissions profiles with the same excitation wavelength. Three fluorescent blends are used with distinct [n]CPPs with emission wavelengths of either 466, 494, or 533 nm, identifying 0.01 wt% as the preferred concentration. It is discovered that [n]CPPs disperse well within poly(ε‐caprolactone) (PCL) and maintain their fluorescence even after a week of continuous heating at 80 °C. The [n]CPP‐PCL blends show no cytotoxicity and support counterstaining with commonly used DAPI (Ex/Em: 359 nm/457 nm), rhodamine‐ (Ex/Em: 542/565 nm), and fluorescein‐tagged (Ex/Em: 490/515 nm) phalloidin stains. Using different color [n]CPP‐PCL blends, different MEW fibers are sequentially deposited into a semi‐woven scaffold and onto a solution electrospun membrane composed of [8]CPP‐PCL as a contrasting substrate for the [10]CPP‐PCL MEW fibers. In general, [n]CPPs are potent fluorophores for MEW, providing new imaging options for this technology.
Decoding Upconversion‐Emitting Phase in Complex Composites Through Single‐Particle‐Level Upconversion Imaging and Density Functional Theory Calculations
Authors: Kshetri Yuwaraj K. , Chaudhary Bina , Kim Jongwoo , Nam Sang Hwan , Murali G. , Zhou Jun , Wang Shijie , Feng Yuan Ping , Choi Jinhyuk , In Insik , Torii Shuki , Kamiyama Takashi , Lee Soo Wohn , Kim Tae‐Ho 
Published: June 2024

AbstractThe crystal structure and phase stability of a host lattice plays an important role in efficient upconversion phenomena. In stable hosts, lanthanides doping should not generally change the crystal structure of the host itself. But when phase of a system drastically changes after lanthanide doping resulting in multiple phases, accurate identification of upconverting phase remains a challenge. Herein, an attempt to synthesize lanthanide‐doped NiMoO4 by microwave hydrothermal method produced MoO3/Yb2Mo4O15/NiMoO4 micro‐nano composite upconversion phosphor. A combined approach of density functional theory (DFT) calculations and single‐particle‐level upconversion imaging has been employed to elucidate the phase stability of different phases and upconversion properties within the composite. Through single‐particle‐level imaging under 980 nm excitation, an unprecedented resolution in visualizing individual emitting and non‐emitting regions within the composite has been achieved, thereby allowing to accurately assign the Yb2Mo4O15 as a sole upconversion emitting phase in the composite. Result of the DFT calculation further shows that the Yb2Mo4O15 phase is the most thermodynamically preferred over other lanthanide‐doped phases in the composite. This comprehensive understanding not only advances the knowledge of upconversion emission from composite materials but also holds promise for tailoring optical properties of materials for various applications, including bioimaging, sensing, and photonics, where controlled light emission is crucial.
Mechanism and Control Strategies of Lithium‐Ion Battery Safety: A Review
Authors: Lai Tingrun , Zhao Hong , Song Youzhi , Wang Li , Wang Yude , He Xiangming 
Published: June 2024

AbstractLithium‐ion batteries (LIBs) are extensively used everywhere today due to their prominent advantages. However, the safety issues of LIBs such as fire and explosion have been a serious concern. It is important to focus on the root causes of safety accidents in LIBs and the mechanisms of their development. This will enable the reasonable control of battery risk factors and the minimization of the probability of safety accidents. Especially, the chemical crosstalk between two electrodes and the internal short circuit (ISC) generated by various triggers are the main reasons for the abnormal rise in temperature, which eventually leads to thermal runaway (TR) and safety accidents. Herein, this review paper concentrates on the advances of the mechanism of TR in two main paths: chemical crosstalk and ISC. It analyses the origin of each type of path, illustrates the evolution of TR, and then outlines the progress of safety control strategies in recent years. Moreover, the review offers a forward‐looking perspective on the evolution of safety technologies. This work aims to enhance the battery community's comprehension of TR behavior in LIBs by categorizing and examining the pathways induced by TR. This work will contribute to the effective reduction of safety accidents of LIBs.