bluuebunny/crossref_metadata_2025 huggingface dataset:
Future socioeconomic development along the West African coast forms a larger hazard than sea level rise
Authors: Dada Olusegun A. , Almar Rafael , Morand Pierre , Bergsma Erwin W. J. , Angnuureng Donatus B. , Minderhoud Philip S. J.
Published: May 2023

Sea level rise will exacerbate the vulnerability of low-lying coastal regions around the world in the coming decades, posing a severe threat to coastal populations. Here, we assess the future population and asset exposure of West Africa (WA) to normal and extreme coastal flooding based on the projected sea level rise scenarios reported in the IPCC Sixth Assessment Report using a bathtub modeling approach, MERIT DEM and gridded population gross domestic product datasets that are consistent with the Shared Socioeconomic Pathways. We find that socioeconomic development will be responsible for the maximum increase in future coastal flooding along the WA coast towards the end of the century. While contributions from climate-induced sea level rise will dominate and be responsible for changes in coastal flooding events in some countries, exposure to these events is likely to dominate in many countries if the ongoing horizontal infrastructural development and economic-oriented transformation continue. These results have important implications for both sustainable coastal planning and flooding risk mitigation for WA’s coastal areas and should be considered as a cautionary tale for managing increasing socioeconomic development and coastward migration at the expense of the region’s coastal ecosystems.
Decoding reward–curiosity conflict in decision-making from irrational behaviors
Authors: Konaka Yuki , Naoki Honda
Published: May 2023

Humans and animals are not always rational. They not only rationally exploit rewards but also explore an environment owing to their curiosity. However, the mechanism of such curiosity-driven irrational behavior is largely unknown. Here, we developed a decision-making model for a two-choice task based on the free energy principle, which is a theory integrating recognition and action selection. The model describes irrational behaviors depending on the curiosity level. We also proposed a machine learning method to decode temporal curiosity from behavioral data. By applying it to rat behavioral data, we found that the rat had negative curiosity, reflecting conservative selection sticking to more certain options and that the level of curiosity was upregulated by the expected future information obtained from an uncertain environment. Our decoding approach can be a fundamental tool for identifying the neural basis for reward–curiosity conflicts. Furthermore, it could be effective in diagnosing mental disorders.
Deep eutectic solvent assisted preparation of cellulose nanofibers and graphene composite films for supercapacitors
Authors: Ma Zhongzheng , Duan Yi , Deng Yongqi , Quan Hongdong , Yang Xiuguo , Li Hongyan , Ye Luqian , Xu Bingxia , Yan Lifeng
Published: May 2023

Cellulose nanofibers have been prepared directly from rice biomass with green solvent DES for graphene/CNF composite electrodes of high-performance supercapacitors.
Current trends in chromatographic prediction using artificial intelligence and machine learning
Authors: Singh Yash Raj , Shah Darshil B. , Kulkarni Mangesh , Patel Shreyanshu R. , Maheshwari Dilip G. , Shah Jignesh S. , Shah Shreeraj
Published: May 2023

Current trends in artificial intelligence (AI) and machine learning (ML) models for chromatographic characteristics prediction and provides a comprehensive overview of recent advancements.
Structural and componential design: new strategies regulating the behavior of lipid-based nanoparticlesin vivo
Authors: Zhong Qingguo , Zheng Chunxiong , Yi Ke , Mintz Rachel L. , Lv Shixian , Tao Yu , Li Mingqiang
Published: May 2023

This review aims to highlight the new strategies regulating the tissue distribution, cell internalization, and drug release of lipid-based nanoparticlesin vivo, focusing on ways to improve their structural and componential design.
Predicting small molecule binding pockets on diacylglycerol kinases using chemoproteomics and AlphaFold
Authors: Mendez Roberto , Shaikh Minhaj , Lemke Michael C. , Yuan Kun , Libby Adam H. , Bai Dina L. , Ross Mark M. , Harris Thurl E. , Hsu Ku-Lung
Published: May 2023

We provide a family-wide assessment of accessible sites for covalent targeting that combined with AlphaFold revealed predicted small molecule binding pockets for guiding future inhibitor development of the DGK superfamily.
Promotion effects of different methods in COx-free hydrogen production from ammonia decomposition
Authors: Liang Daotong , Feng Chao , Xu Li , Wang Da , Liu Yuanshuai , Li Xuebing , Wang Zhong
Published: May 2023

Ammonia can be decomposed to produce exclusively hydrogen and nitrogen so that it could function as a means for hydrogen storage.
A Pd4L2 cage containing Brønsted-base active sites for the one-pot photooxidation/Knoevenagel condensation reaction
Authors: Zhou Yan-Fang , Yan Dan-Ni , Hu Shao-Jun , Zhou Li-Peng , Cai Li-Xuan , Sun Qing-Fu
Published: May 2023

Brønsted-base active sites on a Pd4L2 cage facilitates enhanced catalytic efficiency, wide substrate scope and high turnover number (TON) for the one-pot photooxidation/Knoevenagel condensation reaction under mild conditions.
Revealing the charge transfer mechanism and assessing product toxicity in the 2D/1D Bi2O2CO3/Bi8(CrO4)O11 heterostructure system
Authors: Yang Yang , Gu Xiaomeng , Gong Kexin , Meng Sugang , Lei Jian , Zheng Xiuzhen , Feng Yiqing , Chen Shifu
Published: May 2023

The type I heterojunction Bi2O2CO3/Bi8(CrO4)O11 exhibits high activity and stability for photocatalytic degradation of various organic pollutants.
Signature of magnetism in 2D-chromia: 2D analog of the natural α-Cr2O3 mineral and its heterostructure with graphene
Authors: Singla Renu , Singla Rahul , Kumar Sarvesh , Hackett Timothy A. , Kashyap Manish K.
Published: May 2023

Graphene/2D-chromia van der Waals heterostructure for various technological applications.
Synthesis and characterization of nano-crystallite triple superphosphate from waste Pila globosa shells for sustainable industrial production
Authors: Hossain Md. Sahadat , Shaikh Md. Aftab Ali , Ahmed Md. Farid , Ahmed Samina
Published: May 2023

Sustainable industrial application of waste Pila globosa shells for the synthesis of nano triple superphosphate.
A boost of thermoelectric generation performance for polycrystalline InTe by texture modulation
Authors: Feng Jianghe , Zhou Menghui , Li Juan , Dong Guoying , Gao Shufang , Min Erbiao , Zhang Chuang , He Jiaqing , Sun Rong , Liu Ruiheng
Published: May 2023

A new method of crystal deformation is presented to simultaneously improve the thermoelectric and mechanical properties of InTe; this results in the successful fabrication of a thermoelectric module with a high heat-to-power conversion efficiency.
Achieving strong, stable, and durable underwater adhesives based on a simple and generic amino-acid-resembling design
Authors: Li Feng , Mo Jiaying , Zhang Zhicheng , Shi Sheldon. Q. , Li Jianzhang , Cao Jinfeng , Wang Zuankai
Published: May 2023

An amino-acid-resembling design is developed for high-performance underwater adhesives with desirable interfacial and bulk properties, showing merits in terms of preparation easiness, cost effectiveness, solvent elimination, and design universality.
Flexible triboelectric nanogenerators using transparent copper nanowire electrodes: energy harvesting, sensing human activities and material recognition
Authors: Bagchi Biswajoy , Datta Priyankan , Fernandez Carmen Salvadores , Gupta Priya , Jaufuraully Shireen , David Anna L. , Siassakos Dimitrios , Desjardins Adrien , Tiwari Manish K.
Published: May 2023

A high performance flexible triboelectric nanogenerator using oxidation resistant pure copper nanowire electrodes.
Ambient air-operated thermo-switchable adhesion of N-isopropylacrylamide-incorporated pressure sensitive adhesives
Authors: Hwang Jeonguk , Lim Daegyun , Lee Geonwoo , Kim Young Eun , Park Jintae , Baek Myung-Jin , Kim Hak-Sun , Park KeumHwan , Ku Kang Hee , Lee Dong Woog
Published: May 2023

NIPAM-incorporated pressure-sensitive adhesive exhibited thermo-switchable properties in ambient air, demonstrating significantly high adhesion strength at room temperature and exceptionally low adhesion strength at high temperatures (>80 °C).
The smallest superatom Au4(PPh3)4I2 with two free electrons: synthesis, structure analysis, and electrocatalytic conversion of CO2 to CO
Authors: Zhang Cheng , Ding Mei , Ren Yonggang , Ma Along , Yin Zhengmao , Ma Xiaoshuang , Wang Shuxin
Published: May 2023

Au4(PPh3)4I2, having a Au4 tetrahedral structure is the smallest multinuclear Au superatom with two free e− reported so far. Au4 exhibits higher selectivity for CO (>60%); while the HER dominates when the potential becomes more negative.
Optogenetics-inspired manipulation of synaptic memory using all-optically controlled memristors
Authors: Sun Qihao , Guo Zhecheng , Zhu Xiaojian , Jiang Qian , Liu Huiyuan , Liu Xuerong , Sun Cui , Zhang Yuejun , Wu Liu , Li Run-Wei
Published: May 2023

An all-optically controlled optoelectronic memristor mimicking the optogenetics-engineered memory implantation, erase and cognition functions is reported. This study inspires the exploration of novel neuromorphic hardware and machine vision systems.
Spatial separation of photogenerated charges on the anisotropic facets of cuprous oxide
Authors: Su Tianhui , Yang Chunlei , Niu Fushuang , Hua Yanbo , Xu Qinshang , Hu Ke , Zhang Liming
Published: May 2023

Anisotropic facet engineering is an intriguing way to regulate the charge-separation behavior on a semiconductor photocatalyst.
Pyrene bridged double[7]helicene embedded with a heptagonal ring
Authors: Swain Asim , Ravat Prince
Published: May 2023

The article explores the intricate relationship between chiroptical properties and molecular symmetry of pyrene-conjugated single and double [7]helicene.
N-heterocyclic carbene-catalyzed enantioselective synthesis of spirocyclic ketones bearing gem-difluoromethylenes
Authors: Liang Zheng , Li Jibin , Liu Chaolei , Zhu Yiwei , Du Ding
Published: May 2023

An enantioselective construction of spirocyclic ketones bearing the gem-difluoromethylene group has been accomplished through NHC-catalyzed umpolung [3 + 2] annulation of enals with cyclic gem-difluoroalkyl ketones.
Galvinoxyl-inspired dinitronyl nitroxide: structural, magnetic, and theoretical studies
Authors: Kanetomo Takuya , Ono Sayaka , Fukushima Yusuke , Takenouchi Yuta , Enomoto Masaya
Published: May 2023

A novel galvinoxyl-inspired dinitronyl nitroxide shows a ground doublet spin state and a unique electron configuration.
In silico studies of a novel scaffold of benzoxazole derivatives as anticancer agents by 3D-QSAR, molecular docking and molecular dynamics simulations
Authors: Jiang Yuhan , Yang Wei , Wang Fangfang , Zhou Bo
Published: May 2023

3D-QSAR models, molecular docking and MD simulations were performed to illustrate the relationship between different fields and the activities, which would be helpful in the design of more potent inhibitors.
Fluorinated saccharide-derived hard carbon as a cathode material of lithium primary batteries: effect of the polymerization degree of the starting saccharide
Authors: Chen Lei , Li Yanyan , Liu Chao , Guo Feifei , Wu Xiaozhong , Zhou Pengfei , Fang Zhiwen , Zhou Jin
Published: May 2023

Fluorinated saccharide-derived hard carbon is prepared as a cathode material of lithium primary batteries, and the effect of the polymerization degree of the starting saccharide is investigated.
Pronounced effect of yttrium oxide on the activity of Pd/rGO electrocatalyst for formic acid oxidation reaction
Authors: Sofian Muhammad , Nasim Fatima , Ali Hassan , Nadeem Muhammad Arif
Published: May 2023

A highly efficient and stable electrocatalyst comprised of yttrium oxide (Y2O3) and palladium nanoparticles has been synthesizedviaa sodium borohydride reduction approach.
Synthesis, characterization and study of electrochemical applicability of novel asymmetrically substituted 1,3-dialkyl-1,2,3-benzotriazolium salts for supercapacitor fabrication
Authors: Satheesh Anjitha , Navaneeth Punnakkal , Suneesh Punathil Vasu , C Sarathchandran , Kandasamy Elango
Published: May 2023

Here we report the successful synthesis, fabrication, and testing of novel asymmetrically substituted 1,3-dialkyl-1,2,3-benzotriazolium-based ionic liquids.
Synthesis of sulfur-containing benzo[b]pyrrolo[2,1-c][1,4]oxazine-3,9-diones: blue light promoted radical cyclization process
Authors: Pan Feng , Li Haohu , Wang Xiaohua , Luo Liwen , Lin Yanfei , Yu Qingkai , Xie Wenlin , Zhang Lianpeng
Published: May 2023

In this work, a general and convenient protocol for the blue light-promoted radical-mediated cascade spiro-cyclization/Michael addition of N-arylpropiolamides with thiophenols under metal-free conditions was developed.
Cobalt-catalyzed enantioselective desymmetrizing reductive cyclization of alkynyl cyclodiketones
Authors: Liang Ren-Xiao , Tang Heng-Wei , Liu Jia-Liang , Xu Jian-Feng , Chen Ling-Jia , Jia Yi-Xia
Published: May 2023

A highly enantioselective cobalt-catalyzed desymmetrizing reductive cyclization of alkynyl cyclodiketones has been developed by employing HBpin as a reducing agent and ferrocene-based PHOX as a chiral ligand.
From closed-shell edge-extended kekulenes to open-shell carbonylated cycloarene diradicaloid
Authors: Chang Dongdong , Zhu Jiangyu , Sun Yutao , Chi Kai , Qiao Yanjun , Wang Teng , Zhao Yan , Liu Yunqi , Lu Xuefeng
Published: May 2023

A series of closed-shell kekulene homologues and an open-shell carbonylated cycloarene derivative were synthesized successfully by controlling the temperature and gas atmosphere of a Bi(OTf)3-catalyzed cyclization reaction.
Phototrophic microbial fuel cells: a greener approach to sustainable power generation and wastewater treatment
Authors: Sonawane Jayesh M. , Vijay Ankisha , Deng Tianyang , Ghosh Prakash C. , Greener Jesse
Published: May 2023

Bringing to light the next generation in sustainable energy, we focus on phototrophic microbial fuel cells. These are broad-spectrum tools that can contribute to current and future needs in energy production, waste remediation, and CO2reduction.
Promoting charge separation in a composite of δ-CsPbI3and covalent organic frameworks
Authors: Yuan Guangsong , Feng Siwen , Yang Qing , Yi Fangli , Li Xinyu , Yuan Yiqi , Wang Cuijuan , Yan Hongjian
Published: May 2023

The Pt@δ-CsPbI3@TaPt-TP-COF presents remarkable enhanced photocatalytic H2evolution for the boosting charge separation by combining δ-CsPbI3with both covalent organic frameworks and metallic Pt particles.
Nucleation-controlled growth of high-quality CsPbBr3 single crystals for ultrasensitive weak-light photodetectors
Authors: Zhao Xiao , Wang Shimao , Zhuge Fuwei , Zhu Nengwei , Song Yanan , Fu Mengyu , Deng Zanhong , Fang Xiaodong , Meng Gang
Published: May 2023

High-quality cuboid-shaped CsPbBr3 single crystals have been grown using a solution refinement modified inverse temperature crystallization method for high-performance photodetectors with a low detection limit of 2.25 nW cm−2.
Energy efficient IPC based dual compression for endurance enhancement of NVRAM as main memory in embedded devices
Authors: Palanivelu Shritharanyaa Jothimani , Radhakrishnan Saravana Kumar , Chandrasekaran Kumar , Barua Sourav , Fayek Hady H.
Published: May 2023

The Non‐Volatile Random Access Memory (NVRAM) is recently identified as the most upcoming main memory technology in Embedded and Internet of Things (IoT) systems due to its appealing qualities like zero static power consumption and great memory cell density. On the other hand, most NVRAMs have low write endurance due to workload‐induced write variance, leading to more write activity at a few blocks of memory than the other blocks. Improving the endurance of NVRAM on embedded architectures is very critical due to the limited constraints of Embedded architectures. The main goal of this paper is to address the complexity of NVRAM designs, with a focus on embedded boards, and to create a prototype that enhances NVRAM endurance using a compression technique. Furthermore, this framework is not particular to a single NVRAM device. An Instruction Per Cycle based Dynamic Pattern Compression (IPC_DPC) model is developed to address NVRAM's high write latency and low endurance. The primary goal of the proposed IPC_DPC model is to minimize the energy utilization and latency of heavy workloads during the execution by pre‐determining the workload's instruction cycles. The IPC_DPC model initially divides the Low IPC and High IPC workloads and then compresses the workloads dynamically based on their IPC values compared to the threshold factor. As a result, IPC_DPC improves the compression ratio and reduces the write latencies associated with traditional compressors, significantly reducing the write activity and improving the lifetime of NVRAM. We implemented the proposed IPC_DPC model using GEM5 with a Raspberry Pi board and took IoMT, MiBench, and EEMBC benchmarks for evaluation. Compared to FPC, BDI, FNW, and DFPC models, the proposed IPC_DPC model is shown to be more efficient in terms of compression ratio (56.05%) and energy reduction (17%).
A low‐complexity transmit combining method for downlink of massive multiuser multiple input multiple output systems
Authors: Dabetic Rade P. , Markovic Goran B.
Published: May 2023

Multiuser multiple input multiple output (MU‐MIMO) systems can provide high spectral efficiency (SE) that is achieved with transmit/receive combining schemes at the base station (BS) for downlink (DL) and uplink (UL). So far, various combining schemes for DL were proposed, with the regularized zero forcing (RZF) and Tomlinson–Harashima precoding (THP) being usually considered. In a case of massive MU‐MIMO systems, with a large number of antennas, the matrix inversion operation used in the RZF and THP schemes causes high computational complexity that significantly aggravates implementation and raises its costs. The authors propose a low‐complexity transmit combining scheme for the massive MU‐MIMO systems with time division duplex (TDD), devised in a similar manner as the THP scheme, based on the gram‐Schmidt orthogonalization, and show that it achieves slightly better SE than the THP scheme for the estimated channel state information (CSI), but with a much lower complexity than the THP and RZF schemes.
Degree of polymerisation estimation for insulation paper immersed in silicone oil using frequency domain dielectric spectroscopy
Authors: Zhou Lijun , Zhang Jun , Li Zhixin , Wen Rongting , Wang Dongyang , Wu Jiekang , Tang Huiling
Published: May 2023

Frequency domain dielectric spectroscopy (FDS) is an effective method reflecting the changes of ageing status of silicone oil‐immersed insulation paper. For better evaluating the ageing status of silicone oil‐immersed insulation paper, an evaluation method was studied by analysing the ageing kinetic model and results of FDS. First, the method to separate the different polarization losses and conductivity loss from the results of FDS was studied. Then, based on the idea of ageing correction translation coefficient and time‐varying pre exponential factor, the zero order ageing dynamic model was modified, which combines the ageing kinetic model with the results of FDS. Finally, the evaluation method for the degree of polymerisation (DP) of silicone oil‐immersed paper was proposed, and experiments were conducted to obtain the parameters in the modified model and then to verify the proposed method. The results show that the proposed method can be used to evaluate the DP effectively.
Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution
Authors: Reddy V. Sandeep Kumar , T. Saravanan , Velusudha N.T. , Selwyn T. Sunder
Published: May 2023

This abstract describes the smart grid management system is an emerging technology that utilizes machine learning algorithms for efficient energy distribution. The paper presents an overview of the architecture, benefits, and challenges of smart grid management systems. The paper also discusses various machine learning algorithms used in smart grid management systems such as neural networks, decision trees, and Support Vector Machines (SVM). The advantages of using machine learning algorithms in smart grid management systems include increased energy efficiency, reduced energy wastage, improved reliability, and reduced costs. The challenges in implementing machine learning algorithms in smart grid management systems include data security, privacy, and scalability. The paper concludes by discussing future research directions in smart grid management systems based on machine learning algorithms.
Experimental investigation on mechanical properties and characterization of steel fibre concrete with Bacillus subtilis
Authors: Damodaran Pooja , Thangasamy Lakshmi
Published: May 2023

Building cracks spoil the aesthetic view of the structure along with degrading the strength of the structure. It leads to the failure of the structure as a whole. Propagation of cracks in the concrete surface increases the chance of permeability due to moisture content in the atmosphere which might corrode the internal reinforcements. To overcome this situation, a solution in the form of fibre-reinforced self-healing concrete was suggested in this research work. Steel fibre was added by varying 0%,1%,2%,3%,4% and 5% interms of volume of concrete to prolong fatigue life and decrease the crack width under fatigue loading. Bacteria (Bacillus subtilis) are used to heal the cracks by producing calcium carbonate (CaCO3) as a result. Bacterial concrete with fibre (BCF) was cast by M30 mix as per Indian Standard Code. Studied concrete's mechanical and microstructural properties like compression strength test, flexural strength test, split tensile strength test, SEM images, EDS, XRD and FTIR methods. From microstructural studies, it is clear that there is sufficient self-healing material in broken concrete, hence the efficiency of BCF's self-healing property is commendable and the ability of the generated BCF concrete to regain strength.
An Experimental Study on Fibre Reinforced Foam Concrete Using Hybrid Fiber
Authors: Dhanalakshmi A. , Hameed M. Shahul , Sowmya S. , Shridevi P.A. Velci
Published: May 2023

Foam concrete is one of the light weight concrete which contains cement, filler, water and foaming agent. Nowadays, this foam concrete has very useful characteristics for building construction. It requires no compaction and can easily fill the irregular cavities. In construction industry, various types of industrial waste materials was used to improve the strength and durability properties of the concrete. The endeavours to improve the strength properties such as cement, silica fume, fly ash, foaming Agent, Poly Vinyl Alcohol (PVA) fiber and carbon fiber were used. The combination of two fibers were added in the foam concrete with the different proportion of 0.3%, 0.4% and 0.5%. This paper describes the strength properties such as compressive strength, split tensile strength, water absorption characteristics and prediction of compressive strength of the fibre reinforced foam concrete using python. The targeted design density of foam concrete is 1650 kg/m3. All the specimens were tested and determined the strength at the age of 7 days, 14 days and 28 days.
Education, training and mobility, knowledge management: towards a common effort to ensure a future workforce in Europe and abroad
Authors: Pavel Gabriel Lazaro , Starflinger Joerg , Demazière Christophe , Simola Kaisa , Němec Mojmír , Čerba Štefan
Published: May 2023

Continuous and future-oriented education and training as well as knowledge management for young talents are required for the safe and reliable operation of nuclear reactors and nuclear facilities in Europe. A dedicated line of collaborative projects addresses the specific needs, such as lack of personnel (project ENEN+: “attract, retain and develop new nuclear talents beyond academic curricula”). State-of-the-art approaches and in-depth knowledge are provided when it comes to reactor physics (project GRE@T-PIONEeR: “graduate education alliance for teaching the physics and safety of nuclear reactors”) or nuclear radiochemistry (project A-CINCH: “augmented cooperation in education and training in nuclear and radiochemistry”). A highly skilled nuclear engineer must undergo experimental work to better observe theoretical principles at work. Following the ENEEP (European nuclear experimental educational platform) initiative, a network of research reactors and special laboratories is made available for performing such activities. Another issue found is that the results of Euratom-funded research activities are spread across multiple platforms and websites making it difficult to find relevant information within a reasonable timeframe. Such a situation requires the application of knowledge management actions. The PIKNUS project aims to define a concept of a knowledge management method and tool to improve the sharing and availability of Euratom research results. All projects successfully demonstrate that European collaboration could address certain needs to attract, develop and retain young talents in future-oriented nuclear fields.
The Role of Mood Stabilizers in Children and Adolescents with
Anorexia Nervosa: A 1-year Follow-Up, Propensity Score-Matched
Study
Authors: Pruccoli Jacopo , Parmeggiani Antonia
Published: May 2023

Background The existing literature on the use of mood stabilizers (MS) in
children and adolescents with anorexia nervosa (AN) is limited, for the most
part, to small case studies.

Methods This was an observational, naturalistic, propensity score-matched
study. Subjects treated and not-treated with MS were compared by being matched
via propensity score on age, sex, concurrent atypical antipsychotics, and
concurrent antidepressants. General and AN-specific psychopathology was assessed
with Symptom Check List-90-R, Beck Depression Inventory-II, Eating Disorders
Inventory-3, and Body Uneasiness Test-A. Potential differences in
admission-discharge modifications (body mass index (BMI), psychopathology) among
the two groups were assessed. Finally, re-hospitalizations after 1-year
follow-up were assessed with Kaplan-Meier analyses.

ResultsThe study enrolled 234 hospitalized patients
(15.9+/−3.3 years; 26, 11.1% receiving MS).
After propensity-score matching, 26 MS patients matched with 26 MS-not-treated
subjects were included. MS were used for a mean of 126.1
(+/−87.3) days, and two cases of side effects were
documented (alopecia and somnolence with valproate). No significant difference
between MS-treated and not-treated patients emerged concerning
admission-discharge improvements in BMI and AN-specific or general
psychopathology. The cumulative survival from re-hospitalization at 12 months
was 64,4% (95%-CI, 31.3–97.5) for MS and 58.7%
(95%-CI, 22.2–95.2) for MS-not-treated subjects. No significant
difference in survival rate emerged (hazard ratio, 0.04; Log-rank test:
p=0.846).

Conclusions This propensity score-matched study expands on the scant
existing evidence of the use and side effects of MS in children and adolescents
with AN. These results should be assessed in wider longitudinal samples.
Working from anywhere: yin–yang cognition paradoxes of knowledge sharing and hiding for developing careers in China
Authors: Chin Tachia , Shi Yi , Del Giudice Manlio , Meng Jianwei , Xing Zeyu
Published: May 2023

Digital technology coupled with the quarantines caused by the COVID-19 pandemic has made working from anywhere (WFA)—a modern form of remote working—a widespread phenomenon. Given that WFA brings new career challenges to and engenders paradoxes of knowledge exchange among employees, this research aims to examine how the interactions of remote work time (RWT), knowledge sharing (KS), and knowledge hiding (KH) affect career development (CD) from a culturally grounded paradoxical framing of yin–yang harmonizing. The data were collected from Chinese manufacturing employees, and a moderated hierarchical regression analysis was used to examine the hypotheses. The results show an inverted U-shaped relationship between RWT and CD. The interaction of KS and KH is significantly related to CD, and the inverted U-shaped RWT–CD relationship is moderated by the interaction term, in which RWT exerts the most substantial positive impact on CD when KS is high and KH is low. This study offers valuable implications for coping with perplexing employment relationships and increasing career challenges in volatile work environments. The primary originality is to adopt a novel cognitive frame of yin–yang harmonizing to examine the nonlinear effect of remote working and the symbiotic impact of KS and KH on CD, which not only enriches the understanding of flexible work arrangements in the digital economy but also provides novel insights into the interconnectedness of KS and KH and their interacting effects on HRM-related outcomes.
Optical gain calculation and structure optimization of type-II GaAsSb/InAs/InGaAs quantum well heterostructures
Authors: Zhou Xin-Zhuo , Du Chao-Chao , Bi Gang
Published: May 2023

This paper reports an optimization scheme of type-II GaAsSb/InAs/InGaAs quantum wells using the six bands k · p method. By calculating the optical gain, the optimal structures of the quantum wells are obtained. We observed that without an electric field, the thickness values of symmetrical quantum wells designed by the AdaGrad algorithm are 2.97, 2.81, and 6.21 nm, respectively, and the gain intensity is 6489 cm−1 that is about 1600 cm−1 higher than the original empirical design scheme. The thickness of asymmetric quantum wells designed by the Adam algorithm is 5.56, 2.72, 1.88, 3.16, and 2.46 nm under the external electric field of 75 kV/cm, respectively, and the gain intensity is 5729 cm−1 that is about 2300 cm−1 higher than the original empirical design scheme. The optimized scheme effectively suppresses the gain attenuation caused by the electric field and is helpful to improve the performance of interband cascade lasers.
Biosynthesis, characterization, and determination of trace hydrogen peroxide of Organo-Cr(III) nanoparticles by Lysinibacillus sp. 4H
Authors: Yang Yichen , Yang Yi , Jiang Guangyang , Yang Li , Chen Jia , Xu Zhe , Zheng Bijun , Tian Yongqiang
Published: May 2023

The mechanism of microbial reduction of Cr(VI) has been widely reported; however, only a few studies have focused on Cr(VI) reduction products. In this study, a green synthetic pathway for the biosynthesis of Organo-Cr(III) nanoparticles using Lysinibacillus sp. 4H was investigated, and some properties of these nanoparticles were characterized, based on analysis using X-ray photoelectron spectroscopy, electron paramagnetic resonance spectroscopy, Fourier transform infrared spectroscopy, and scanning electron microscopy, among other techniques. The analyses revealed that the reduction product induced by Lysinibacillus sp. 4H may be amorphous Organo-Cr(III) nanoparticles with an irregular spherical structure (20–90 nm). Thermal characterization of the nanoparticles showed that they maintain a high residual mass (50.45%) at 700 °C, indicating high stability. In addition, the nanoparticles were capable of detecting trace amounts of hydrogen peroxide (H2O2), owing to their redox properties, such that the corresponding H2O2 concentrations could be accurately determined in a range of concentrations. This study provided novel insights and strategies regarding the use of nanoparticles to detect trace hydrogen peroxide concentrations in multiple fields.
Topology optimization of UAV structure based on homogenization of honeycomb core
Authors: Shen Bing , Liu Hongjun , Lv Shengli
Published: May 2023

In this paper, a new optimization design strategy is explored to achieve a rapid design of lightweight structures for unmanned aerial vehicles (UAVs) using honeycomb sandwich panels. Based on the existing performance equivalent method of honeycomb core material, an effective mechanical property homogenization model of honeycomb material is proposed and applied to finite element analysis. A finite element model is established to analyze the mechanical response of honeycomb sandwich panels under different bending loads, and the rationality of the model is verified by mechanical tests. The error between the simulation results and the experimental results is about 10%. Based on the variable density method and rational approximation of material properties interpolation method, a topology optimization model with the minimum structural flexibility as the objective is constructed. By comparing with the experiment-based design scheme, it is found that the optimized design scheme has a more reasonable structure and better performance. The optimized design can effectively reduce the structural weight and improve the load transfer path while ensuring structural stiffness. In this way, the influence of stress concentration and large deformation on the structure is avoided, which is of great significance for the design of UAV structures.
Reverse triage in COVID surge planning: a case study of an allied health supported clinical care pathway in an acute hospital setting
Authors: Withiel Toni Dianne , Blance-Palmer Rachel , Plant Cassandra , Juj Genevieve , McConnell Carly Louise , Rixon Melissa Kate , Putland Mark , Walsham Nicola , Klaic Marlena
Published: May 2023

Objective This case study describes the development and outcomes of a new integrated and multidisciplinary care pathway. Spearheaded by allied health, the ‘COVID community navigator team’, applied established principles of reverse triage to create additional surge capacity. Methods A retrospective cohort study examined workflow patterns using electronic medical records of patients who received navigator input at the Royal Melbourne Hospital between 20 September 2021 and 20 December 2021. Results There were 437 eligible patient encounters identified. On average patients stayed 4.15 h in the emergency departments (ED) (s.d. = 4.31) and 9.5 h (s.d. = 10.9) in the short stay unit. Most patients were discharged into a ‘low risk pathway’ with community general practitioner follow up. Of discharged patients, only 38 re-presented to the ED with symptoms related to their initial COVID-19 diagnosis (34.9% of total re-admissions). Of these re-admissions, more than half did not require admission to a ward. Conclusion The findings presented here provide support for the clinical utility of a multidisciplinary reverse triage approach in surge planning for anticipated presentation peaks.
Acclimation of replacement gilts to Mycoplasma hyopneumoniae: a case study of fogging with an aerosol inoculum
Authors: Nagae Ricardo Y. , Barcellos David D. E. S. N. , Ulguim Rafael R. , Michaelsen Taís R. , Zuffo João P. , Goslar Mariana S. , Michelleto Giovani R. , Wolf Jonatas , Bortolozzo Fernando P. , Takeuti Karine L.
Published: May 2023

Context Mycoplasma hyopneumoniae causes enzootic pneumonia, predisposing pigs to infections with other respiratory pathogens. The main control measure is to reduce piglet exposure at lactation, which can be achieved by gilts’ acclimation prior to their entrance to the farms. One of the acclimation strategies is aerosol exposure with a positive inoculum by using a fogger. However, studies on its efficacy in gilts and their litters are lacking in the literature. Aim The aim of this case study was to assess the efficacy fogging with a positive inoculum of M. hyopneumoniae to expose negative gilts in an acclimation program. Moreover, the infection dynamics of M. hyopneumoniae were assessed in their piglets from lactation to slaughter. Methods The trial was performed in two phases. In Phase 1, a total of 34 and 107 gilts was selected from Farms A and B respectively, and then exposed to the inoculum through a fogger. In Phase 2, a subsample of 74 gilts from Farm B was followed to their first farrowing and 263 piglets born to those gilts were sampled from 15 to 170 days of age, and at slaughter, lung lesions were evaluated. Key results In Phase 1, the prevalence of positive gilts at 28 days post-exposure (dpe) was 100% and 98.1% in Farms A and B respectively. In Phase 2, 10.8% of gilts remained positive at 180 dpe and 0.8% of piglets were positive at 15 days of age (day) and 28.1% at 60 days, suggesting a possible vertical transmission. Conclusion The use of fogging with a lung homogenate positive for M. hyopneumoniae successfully acclimated negative gilts. However, it did not avoid the presence of positive gilts at farrowing and the detection of the bacterium in their progeny by polymerase chain reaction. Implications The exposure of gilts to M. hyopneumoniae at 150 days of age was successfully achieved by fogging. However, consideration should be given to exposing replacement gilts of a younger age in order to reduce the odds of detecting positive gilts at first farrowing.
Primary measurement standards for trace moisture in multiple gases: extension of gas species to He and O2
Authors: Amano Minami , Abe Hisashi
Published: May 2023

The National Metrology Institute of Japan developed a multi-gas trace-moisture generator which was designed for generating trace water vapor (trace moisture) in multiple gases. Using this system, we previously developed primary measurement standards for trace moisture in N2 (10 nmol mol−1–5 μmol mol−1) and Ar (10 nmol mol−1–1 μmol mol−1). In this study, we have extended the target gas species; trace-moisture standards in He and O2 in the rage of 10 nmol mol−1 − 1 μmol mol−1 were developed. The relative expanded uncertainty (k = 2) of the trace-moisture standard in He was 0.74 %–5.7 %, and that in O2 was 0.78 %–8.9 %. In addition, we have improved stability of the flow rate of the diluent gas by controlling the temperature around the flow measurement/control systems and re-evaluated the uncertainty of the trace-moisture standards in N2 and Ar. The updated relative expanded uncertainty (k = 2) of the trace-moisture standard in N2 and Ar is 0.41 %–2.6 % and 0.73 %–2.6 %, respectively. The uncertainty budgets of the standards in these four gases are presented. The trace-moisture standard in N2 developed using the multi-gas trace-moisture generator was confirmed to be consistent with the standards realized by other generators, whose international comparability were already ensured. A commercial moisture analyzer (MA) based on the cavity ring-down spectroscopy (CRDS) was connected to the multi-gas trace-moisture generator as a device under test, and its performance was evaluated by comparing the readings with the standard values. The MA showed lower accuracy and stability in the measurement of moisture in He when it was used in the default setting, whereas it performed well in N2. This performance difference is related to the pressure-broadening coefficient of water, which depends on the gas species. We estimated the pressure-broadening coefficients of water by N2, Ar, He and O2 and discuss the gas-type dependence of the performance of CRDS-based MAs.
Comparative study on transverse compression testing of hybrid glass/kevlar composite pipe with PVC pipe
Authors: Kumar Balu Siva , Navin Kumar B
Published: May 2023

The study is to intend to improve the transverse compressive strength of the novel kevlar composite pipe and compare its property with polyvinyl chloride pipe. The feasibility of the kevlar based composites pipe has been studied. The kevlar composite pipes are made up of 2% volume fraction of nanoclay as filler and it is taken as the experimental group in this group the testing samples are (N=20) and the plain composite pipes of kevlar composites are taken as control group. This group is also having (N=20) samples for testing. All these composite pipes are fabricated manually and the specimens have been prepared as per the ASTM standard. The kevlar composites pipes which is fabricated with 2% volume fraction of nanoclay have improved their compressive strength in transverse direction in the comparison of plain kevlar composite pipe and PVC pipe. The significance value p is <0.05. The filler used kevlar Novel composite pipes improved its transverse compression strength of 28% higher than the plain kevlar composite pipes and nanoclay fillers exhibited a significant improvement.
Comparison of emission NOx, CO, CO2 and smoke number of mixed waste plastic oil, n-Octanol and diesel with the blend ratio of (10%, 20% & 30%) in a single cylinder diesel engine
Authors: Fayaz Shaik , Depoures Melvin Victor
Published: May 2023

According to this study, the combined NOx and Smoke Opacity of waste plastic oil and N-Octanol are higher than diesel fuel. To find the optimal combination, waste plastic oil was blended with diesel. The best blend (10%, 20%, and 30%) was contrasted with a blend of diesel and N-Octanol. Five load variations have been tested using a stationary, single-cylinder Kirloskar engine with a bore and stroke of 85 and 110 mm. The G-power was estimated using the G-Power tool v-3.1.9.7, and the sample size was 60. According to the tested experiments, the best blend, D50W30O20, had a NOx level of 2098 ppm for pure diesel and 2145 ppm for waste plastic oil. For neat diesel, the smoke opacity was 32.1. For waste plastic oil, 57.6, and the optimum blend, D50WPO40O10, 41.3. The group’s significance level of 0.000 (p0.05) indicates a meaningful difference. Within the investigation parameters, D50WPO30O20 had a NOx rating 82% higher than diesel and 47% higher for the waste plastic oil blend. When compared to diesel, the smoke opacity of the waste plastic oil blend was 16% higher, and the smoke opacity of D50WPO20O30 was 9% higher.
Enhancing mechanical and corrosion qualities using metal inert gas weld hardfacing: a brief review
Authors: Ranjan Rajeev , Das Anil Kumar
Published: May 2023

Due to its better mechanical qualities and corrosion resistance, metal inert gas weld hardfacing is popular in both the manufacturing and research sectors and also contributes to longer machine element service lives. It is defined as a method of achieving desired surface attributes by employing welding procedures on structural materials with relatively low qualities and low cost, known as substrate materials. The weld hardfacing helps with two important aspects of improving material qualities: first, it improves characteristics of the material that depend on the surface (such as corrosion and wear resistance), and second, characteristics that rely on the mass, such as hardness, and durability. This article reviews several studies that have been done so far on various substrates in the area of metal inert gas weld hardfacing to improve microstructure, corrosion, and mechanical characteristics. According to past researchers, various MIG welding parameters play a crucial role and can be optimised to get desirable output such as enhanced tribological, mechanical, and corrosion properties. The writers have made an effort to address the recommendations for future work in this field. Present and future researchers on hardfacing using welding would benefit from the outcome of this paper, which is also useful to many industries.
Influence of orifice thickness on the flow field of co-flow jets
Authors: Sundaram Tharika
Published: May 2023

The present study analyses the numerical simulation results of subsonic flow through co-flow orifices. Analysis is done on the effects of modifying orifice thickness on the co-flow jet characteristics. The combined frontal area of the co-flow jet and central jet is maintained constant (20 mm2). The primary orifice diameter (D) is kept as 3mm and the orifice thickness, i.e the co-flow jet is formed as four segments of a concentric circle around the core jet, and the edge distance between them ranges from 0.16D to 0.5D. The 0.16D co-flow is shown to lengthen the potential core of the main jet at nozzle pressure ratios of 1.2, 1.4, 1.6, and 1.8, but the 0.33D co-flow and the 0.5D co-flow shorten the potential core length, enhancing mixing. The present study analyses the Mach numbers that correspond to the Nozzle Pressure ratios of 1.2, 1.4, 1.6, and 1.8, which are 0.517, 0.71, 0.84, and 0.96, respectively. The 0.5D annular gap is found to be more effective which boosts primary jet mixing.
Four - frequency undulator radiation intensity in free electron laser
Authors: Gajbhiye Anjali , Jain Deepi
Published: May 2023

Four-frequency undulator radiation intensity has been proposed here. An analytical treatment has been applied for the formulation of intensity expression for four-frequency undulator radiation. The Lienard-Wiechert potential and generalized Bessel function has been used for the analysis.
A novel passive micromixer model computational analysis with twist and bend
Authors: Mustafa Md Gulam , Zunaid Mohammad , Gautam Samsher
Published: May 2023

A dynamic mixing model for a microfluidic platform that uses bending and twisting characteristic is proposed in this work. The action of twisting and bending on mixing efficient in the microchannel is tested using Navier-Stokes equations. Micromixers being broadly applied in micro total analysis systems (µTAS). Passive micromixers are largely preferred from their heftiness, serenity of amalgamation and cost effective. However rapid mixing in this model is difficult but can be achieved with a twist in the model and offset. From the past study, we know that with a high Reynolds number mixing efficiency effectively improved. Chaotic advection allows the micromixer model to generate secondary flow which led to a drop in high-pressure drop in the model.
Water quality prediction using CNN
Authors: Vijay Anand M , Sohitha Chennareddy , Saraswathi Galla Neha , Lavanya GV
Published: May 2023

The interaction of solar radiation with the water level concentration and the elements of the water cause the water to have its characteristic hue. The alteration of the color of the water is reflective of the alteration of the water’s properties and the degree to which it is suitable for use. Due to disasters like floods, tsunami in the last few years and water pollution has been an increasing problem. In world the intake of contaminated water causes 40% of deaths. Drinking unclean water is not safe and in order to reduce the issue to a level of extent, prediction of water quality can be done before consuming. The process used in water plants is based on the parameters pH, turbidity, temperature, hardness etc., of water using filtration and the water quality prediction can also be done using IOT by including both hardware and software. This project mainly comprises the primary level of water prediction using machine learning. Based on the color and quality of water the system predicts whether the given water sample is suitable for drinking or any further use. Tensorflow, Keras and CNN are used to train the model to forecast the water quality prediction. This project is cost-effective and works efficiently and can be used as immediate and initial level of water quality check since image processing tool is used. This model of water quality prediction can be checked using mobile captured and Google earth images of water samples.