bluuebunny/crossref_metadata_2025_split huggingface dataset:
Indoor Performance Analysis of a Novel Double-Pass photovoltaic/thermal (PV/T) Asymmetric Compound Parabolic Concentrator (ACPC) Solar Collector
Authors: Roshdan Wan Nur Adilah Wan , Jarimi Hasila , Ibrahim Adnan , Sopian Kamaruzzaman , Al-Waeli Ali H.A. 
Published: February 2023

Abstract
A photovoltaic/thermal (PV/T) solar collector combines solar photovoltaic (PV) modules and solar thermal that operates simultaneously to generate electricity and thermal energy. Design parameters, operating conditions and environmental factors all have a significant impact on the performance of a PV/T solar collector. This research investigates the influence of the variation in the air mass flow rate to the performance of a novel double-pass photovoltaic/thermal (PV/T) asymmetric compound parabolic concentrator (PV/T-ACPC) solar collector. To investigate performance of the solar collector, it was tested indoors using a solar simulator at average solar radiation of 800 W/m2 with the variation in the air mass flow rate ranging from 0.0074 kg/s to 0.0900 kg/s. From the analysis, we found that as the air mass flow rate increases, the thermal efficiency and electrical efficiency increases from 37.15 % to 60.51 %, and 2.51 % to 3.29 % respectively. Meanwhile while the difference in the air output temperature and PV panel temperature were found to decrease from 19.64 °C to 2.63 °C, and 66.83 °C to 41.86 °C respectively. We also found that, as the mass flow rate continues to increase, it will reach its ‘optimum point’ and approaching a plateau at mass flow rate of 0.0262 kg/s. The finding is crucial since the collector needs to be operated at its optimum flow rate to ensure optimum efficiencies at the optimum temperature rise of the useful air supply.
Electronic energy benchmarking system (e-EBS) as sustainability tool for public buildings in Malaysia
Authors: Abidin Abdul Murad Zainal , Wajid Norhayati Mat , Fadzil Faiz , Omar Samsiah , Kamaruzzaman Syahrul Nizam , Mat Nik Elyna Myeda Nik , Azlan Anissa 
Published: February 2023

Abstract
The global increase in carbon emission from buildings is driving greater urgency towards carbon neutrality. A number of strategies have been developed worldwide that include energy management and building-integrated photovoltaics but these are implemented independently. There is a need for integrated approach towards better energy monitoring and benchmarking. The aim of the research is to develop an electronic energy benchmarking system (e-EBS) for public buildings in Malaysia as dashboard on energy consumption, carbon footprint, and green rating score with strategies for improvement. This is done by integrating energy auditing with the Penarafan Hijau JKR (pHJKR) building rating scheme, and the JKR Energy Online System (JENOSYS). The benchmarking system would analyse energy data and give the rating with recommended energy-saving strategies for building owners. The tool for analysis and benchmarking was selected by comparing the coefficient of determination (R2) of regression model with multi-layer perceptron, a type of neural network. The neural network model was found to have a slightly higher sensitivity level (R2=0.95) compared to the regression model (R2=0.93) and selected to develop a standard baseline of energy consumption for buildings in e-EBS. The following step is the validation of e-EBS by creating more energy benchmarks based on building category.
Mobile Learning to promote Renewable Energy Education at the Secondary Education level in developing countries.
Authors: Hoque Fahimul , Yasin Ruhizan M , Sopian Kamaruzzaman 
Published: February 2023

Abstract
Education is a fundamental component in advancing society towards a cleaner and sustainable energy consumption route. To achieve and promote the Sustainable development Goals (SDG’s) education will play a pivotal role in creating awareness and promotion of Renewable energy concepts amongst the general public. Malaysia and Bangladesh are two ambitious countries that has implemented various policies to harness energy from renewable sources but lacked to achieve their targets. This is mainly due to lack of RE education and interest and awareness amongst the public. Recent studies have shown a significant lack of RE curriculum specially in the secondary level of education in most of the developing countries. This lack of curriculum can directly impact the societal process to shift to a sustainable green energy future due to the lack of interest, awareness in students for RE career and importance. This gap of introducing RE education into the secondary education curriculum can be fulfilled by using Mobile Learning (M-Learning) methods and technologies as means to educate secondary schools students about RE. Both the countries have a population well equipped with smart devices and internet access thus equipping people with greater mobility, communication, and access to resources all over the world via the Internet, which can be used potentially to incorporate within the education sector as a mean for teaching and learning. Thus, this paper aims to highlight the educational strategies, theories and components that are associated with mobile learning and propose a mobile learning system that can be used to incorporate RE education in secondary education level in countries like Malaysia and Bangladesh.
Evidence on temperature and concentration of reducing agents to control the nanoparticles growth and their microbial inhibitory efficacy
Authors: Rajalakshmi T Uma , Reena T , Doss A , Kumar T Anantha , Alahmadi Tahani Awad , Alharbi Sulaiman Ali , Mariselvam R , Mideen Ponnani Kaja 
Published: February 2023

Abstract
The present study deals with the nanoparticles synthesis from Impatiens balsamina L. plant flower extract. The concentration of reducing agent (flower extract) and different temperature is involved in the reaction. Sixteen different silver nanoparticles were synthesized with using different ratios of the reaction mixture and different temperature. The different silver nanoparticles are different color based on the temperature and concentration of reaction mixture. The synthesized silver nanoparticles are characterized by UV/vis Spectrophotometer. The microorganisms Bacillus subtilis are highly inhibited by (90:10/60 °C; 99:1/70 °C; 92:2/70 °C; and 90:10/70 °C) silver nanoparticles. Pseudomonas aeruginosa are highly inhibited by 98:2/50 °C and 90:10/70 °C based silver nanoparticles. The bacterial species Staphylococcus aureus are highly inhibited by 98:2/50 °C and 98:2/70 °C. The E. coli was inhibited by 99:1/70 °C; 98:2/70 °C and 90:10/70 °C based silver nanoparticles. The temperature and concentration of reducing agents can play a significant role in controlling the growth of nanoparticles. This study is one of the evidence on temperature and concentration of reducing agents to control the nanoparticles growth and their microbial inhibitory efficacy.
Synthesis of nickel silicate/reduced graphene oxide composite for long-life lithium-ion storage
Authors: Dai Jianguang , Cheng Chunxiao , Li Huan , Cui Tianbao , Xiao Kun , Ning Jinli , Liu Jia , Wang Changqing 
Published: February 2023

Abstract
To improve the electrochemical performance of nickel silicate as anode material of lithium ion batteries, nickel silicate nanosheets anchored on reduced graphene oxide composite is synthesized via hydrothermal method using sandwich-like silica/graphene oxide as raw material. Nickel silicate nanosheets anchor on both sides of the reduced graphene oxide and cross each other to form net-like structure. The thickness of the nanosheets is about 15 nm. The composite shows an optimal electrochemical performance as lithium ion battery anode material. The initial capacity is 1525.7 mAh g−1 and the capacity retains 815.5 mAh g−1 after 50 cycles at the current density of 50 mA g−1. It exhibits good rate performance. When the current density is increased to 5000 mA g−1, the average capacity is as high as 415.8 mAh g−1. The composite also demonstrates an exceptional high cycling stability with the capacity of 423.4 mAh g−1 after 1000 cycles.
Characterization and strengthening mechanism of CNT/TiB2 particulates added AZ91D composites
Authors: Velmurugan V , Mohan B 
Published: February 2023

Abstract
In the current work, magnesium (AZ91D) matrix composites reinforced with different weight fractions (5, 10, and 15%) of titanium diboride (TiB2) and 1.5 wt% carbon nanotubes (CNTs) are fabricated using stir casting. The improvements in mechanical, wear and corrosion resistance properties are evaluated as per ASTM guidelines. The synergistic strengthening effect of TiB2 and CNT is also studied. It was discovered that the AZ91D/(1.5CNT-10TiB2) composite outperformed other magnesium matrix composites in terms of strength and ductility. Experimental characterization and quantity analysis revealed that the load transfer process of CNT, thermal mismatch, and grain refinement are the primary factors leading to the composite’s increased tensile strength. Porosity tends to increase due to variance in the thermal expansion coefficient of particles and matrix material; Orowan strengthening mechanism plays a prominent role in enhancing tensile strength. Because of the influence of synergistic strengthening, microparticles TiB2 increased the proportion of load transmission mechanisms, and thermal mismatch facilitated the homogenous distribution of CNTs. Wear resistance and corrosion resistance increase with the inclusion of CNTs and TiB2 content. An abrasive-type wear mechanism is seen in the SEM image, and the wear craters are also seen in all the SEM images. Adding TiB2 significantly improves the cast composites’ resistance to corrosion because of grain refinement. Higher addition of TiB2 influences higher pitting corrosion due to poor grain refinement.
Experimental characterization and modeling of the inter-ply sliding behavior of unidirectional prepreg in the preforming process
Authors: Li Zhefu , Zhao Dacheng , Sun Baozhong , Liu Weiping , Yue Guangquan 
Published: February 2023

Abstract
The inter-ply sliding behavior is one of the important factors affecting the quality of carbon fiber composite products. In this paper, the inter-ply sliding behavior of the unidirectional prepreg was investigated for the preforming process. The inter-ply sliding resistance of prepreg under different conditions was measured by the homemade measuring device and the lubricating effect of inter-ply resin was identified by the micromorphology. The effect of fiber orientation was quantified by the combined roughness. With the increase of sliding distance, the inter-ply sliding resistance initially increased significantly, and finally maintained a constant value. A phenomenological model of the inter-ply sliding resistance was developed to explain the effects of pressure, velocity, and fiber orientation. This model can accurately describe the inter-ply sliding behavior of prepreg, which can be used for numerical simulation and the optimization of preforming process.
NaCl aqueous solution as a novel electrode in a dielectric barrier discharge reactor for highly efficient ozone generation
Authors: GAO Erhao , GUO Keying , JIN Qi , HAN Li , LI Ning , WU Zuliang , YAO Shuiliang 
Published: February 2023

Abstract
Ozone (O3) generated by a dielectric barrier discharge (DBD) is widely used in various industrial processes. In this study, NaCl aqueous solution was used as a novel electric power transmission electrode in a DBD reactor (instead of a traditional metal electrode) for highly efficient ozone generation. The results demonstrated that a high O3 yield of 242 g kWh−1 with a concentration of 14.6 g m−3 O3 was achieved. The power transmission mechanism works because NaCl aqueous solution behaves as a capacitor when an alternating pulse voltage below 8 kHz is used. Compared with the resistance of the discharge barrier and discharge space, the resistance of NaCl aqueous solution can be ignored, which ensures that O3 is generated efficiently. It is expected that O3 generation using NaCl aqueous solution as a novel electrode in a DBD reactor could be an alternative technology with good application prospects.
Dynamical fluctuations of a tracer coupled to active and passive particles
Authors: Santra Ion 
Published: February 2023

Abstract
We study the induced dynamics of an inertial tracer particle elastically coupled to passive or active Brownian particles. We integrate out the environment degrees of freedom to obtain the exact effective equation of the tracer—a generalized Langevin equation in both cases. In particular, we find the exact form of the dissipation kernel and effective noise experienced by the tracer and compare it with the phenomenological modeling of active baths used in previous studies. We show that the second fluctuation-dissipation relation (FDR) does not hold at early times for both cases. However, at finite times, the tracer dynamics violate (obeys) the FDR for the active (passive) environment. We calculate the linear response formulas in this regime for both cases and show that the passive medium satisfies an equilibrium fluctuation response relation, while the active medium does not—we quantify the extent of this violation explicitly. We show that though the active medium generally renders a nonequilibrium description of the tracer, an effective equilibrium picture emerges asymptotically in the small activity limit of the medium. We also calculate the mean squared velocity and mean squared displacement of the tracer and report how they vary with time.
Quick identification of ABC trilayer graphene at nanoscale resolution via a near-field optical route
Authors: Shen Peiyue , Zhou Xianliang , Chen Jiajun , Deng Aolin , Lyu Bosai , Zhang Zhichun , Lou Shuo , Ma Saiqun , Wei Binbin , Shi Zhiwen 
Published: February 2023

Abstract
ABC-stacked trilayer graphene has exhibited a variety of correlated phenomena owing to its relatively flat bands and gate-tunable bandgap. However, convenient methods are still lacking for identifying ABC graphene with nanometer-scale resolution. Here we demonstrate that the scanning near-field optical microscope working in ambient conditions can provide quick recognition of ABC trilayer graphene with no ambiguity and excellent resolution (∼20 nm). The recognition is based on the difference in their near-field infrared (IR) responses between the ABA and ABC trilayers. We show that in most frequencies, the response of the ABC trilayer is weaker than the ABA trilayer. However, near the graphene phonon frequency (∼1585 cm−1), ABC’s response increases dramatically when gated and exhibits a narrow and sharp Fano-shape resonant line, whereas the ABA trilayer is largely featherless. Consequently, the IR contrast between ABC and ABA becomes reversed and can even be striking (ABC/ABA ∼ 3) near the graphene phonon frequency. The observed near-field IR features can serve as a golden rule to quickly distinguish ABA and ABC trilayers with no ambiguity, which could largely advance the exploration of correlation physics in ABC-stacked trilayer graphene.
Recovery and treatment
Authors: Humphreys Keith 
Published: February 2023

Abstract
This chapter discusses the recovery and treatment of people with addiction. Within the 12-step model, recovery refers to lifetime abstinence from drugs coupled with greater compassion for and service to others, restitution to victims, and a spiritual state of serenity. Other concepts of recovery focus more on improved individual health and reduced substance use. Recovery typically involves significant work to attain and maintain, which can bring increased feelings of worth in contrast to the years of active addiction. The chapter then shares narratives of recovery and treatment. It also clarifies the differences between addiction treatment and detoxification. Addiction treatment can include many components, including medication, information, education, emotional support, role modeling, motivational interviewing, contingency management, and teaching cognitive and behavioral skills.
Inter- and intra-island speciation and their morphological and ecological correlates in Aeonium (Crassulaceae), a species-rich Macaronesian radiation
Authors: Messerschmid Thibaud F E , Abrahamczyk Stefan , Bañares-Baudet Ángel , Brilhante Miguel A , Eggli Urs , Hühn Philipp , Kadereit Joachim W , dos Santos Patrícia , de Vos Jurriaan M , Kadereit Gudrun 
Published: February 2023

Abstract

Background and Aims
The most species-rich and ecologically diverse plant radiation on the Canary Islands is the Aeonium alliance (Crassulaceae). In island radiations like this, speciation can take place either within islands or following dispersal between islands. Aiming at quantifying intra- and inter-island speciation events in the evolution of Aeonium, and exploring their consequences, we hypothesized that (1) intra-island diversification resulted in stronger ecological divergence of sister lineages, and that (2) taxa on islands with a longer history of habitation by Aeonium show stronger ecological differentiation and produce fewer natural hybrids.

Methods
We studied the biogeographical and ecological setting of diversification processes in Aeonium with a fully sampled and dated phylogeny inferred using a ddRADseq approach. Ancestral areas and biogeographical events were reconstructed in BioGeoBEARS. Eleven morphological characters and three habitat characteristics were taken into account to quantify the morphological and ecological divergence between sister lineages. A co-occurrence matrix of all Aeonium taxa is presented to assess the spatial separation of taxa on each island.

Key Results
We found intra- and inter-island diversification events in almost equal numbers. In lineages that diversified within single islands, morphological and ecological divergence was more pronounced than in lineages derived from inter-island diversification, but only the difference in morphological divergence was significant. Those islands with the longest history of habitation by Aeonium had the lowest percentages of co-occurring and hybridizing taxon pairs compared with islands where Aeonium arrived later.

Conclusions
Our findings illustrate the importance of both inter- and intra-island speciation, the latter of which is potentially sympatric speciation. Speciation on the same island entailed significantly higher levels of morphological divergence compared with inter-island speciation, but ecological divergence was not significantly different. Longer periods of shared island habitation resulted in the evolution of a higher degree of spatial separation and stronger reproductive barriers.
Pharmacokinetic profiles of 3-(4-hydroxy-3-methoxyphenyl) propionic acid and its conjugates in Sprague-Dawley rats
Authors: Abe Chizumi , Soma Ayano , Tun Tint Ni Ni , Zhang Ye , Nishitani Yosuke , Kayaki Hiroyuki , Kawakami Hideaki , Matsui Toshiro 
Published: February 2023

ABSTRACT
3-(4-hydroxy-3-methoxyphenyl)propionic acid (HMPA) is one of the end-products from gut microbiota from dietary polyphenols, which might contribute to their health benefits. This study aims to investigate the absorption, metabolism, and tissue accumulation of HMPA in Sprague-Dawley (SD) rats. After HMPA (10 mg/kg body weight) was orally administered, intact and conjugated HMPAs in the bloodstream were detected and reached the maximum concentration in 15 min (HMPA, 2.6 ± 0.4 nmol/mL; sulfated HMPA, 3.6 ± 0.9 nmol/mL; glucuronidated HMPA, 0.55 ± 0.09 nmol/mL). HMPA and its conjugates were also detected in the target organs 6 h postadministration, indicating that HMPA undergoes rapid conversion into conjugates, and they broadly distribute to organs with similar profiles (kidneys &gt; liver &gt; thoracic aorta &gt; heart &gt; soleus muscle &gt; lungs). This study demonstrated that orally administered HMPA (10 mg/kg) in SD rats undergoes rapid metabolism and wide tissue distribution with ≥1.2% absorption ratio.
On the effectiveness of compact biomedical transformers
Authors: Rohanian Omid , Nouriborji Mohammadmahdi , Kouchaki Samaneh , Clifton David A 
Published: February 2023

AbstractMotivationLanguage models pre-trained on biomedical corpora, such as BioBERT, have recently shown promising results on downstream biomedical tasks. Many existing pre-trained models, on the other hand, are resource-intensive and computationally heavy owing to factors such as embedding size, hidden dimension and number of layers. The natural language processing community has developed numerous strategies to compress these models utilizing techniques such as pruning, quantization and knowledge distillation, resulting in models that are considerably faster, smaller and subsequently easier to use in practice. By the same token, in this article, we introduce six lightweight models, namely, BioDistilBERT, BioTinyBERT, BioMobileBERT, DistilBioBERT, TinyBioBERT and CompactBioBERT which are obtained either by knowledge distillation from a biomedical teacher or continual learning on the Pubmed dataset. We evaluate all of our models on three biomedical tasks and compare them with BioBERT-v1.1 to create the best efficient lightweight models that perform on par with their larger counterparts.ResultsWe trained six different models in total, with the largest model having 65 million in parameters and the smallest having 15 million; a far lower range of parameters compared with BioBERT’s 110M. Based on our experiments on three different biomedical tasks, we found that models distilled from a biomedical teacher and models that have been additionally pre-trained on the PubMed dataset can retain up to 98.8% and 98.6% of the performance of the BioBERT-v1.1, respectively. Overall, our best model below 30 M parameters is BioMobileBERT, while our best models over 30 M parameters are DistilBioBERT and CompactBioBERT, which can keep up to 98.2% and 98.8% of the performance of the BioBERT-v1.1, respectively.Availability and implementationCodes are available at: https://github.com/nlpie-research/Compact-Biomedical-Transformers. Trained models can be accessed at: https://huggingface.co/nlpie.
Parental Involvement in Child Protection Services and Parenting Experience as Alcohol and Other Drug Use: An Interpretative Phenomenological Analysis
Authors: Goddard Kashmir , Montague Jane , Elander James 
Published: February 2023

Abstract
This article explores the emotional experiences of drug- and/or alcohol-using parents who have child protective Social Services involvement. Research suggests that protective processes can reduce children’s experience of poor outcomes whilst parents undergo treatment for substance misuse. Semi-structured interviews combined with photovoice and journal writing were used to generate data. Eight UK-based parents participated. Each was accessing drug or alcohol treatment and had a child who was the subject of a child protection intervention. The resulting data from the seventeen interviews were analysed using Interpretative Phenomenological Analysis (IPA). Key findings are presented within four themes. The first two outline parents’ perceptions of themselves and how they felt they were viewed by others. Themes 3 and 4 focus on specific emotions: anger and frustration; fear and guilt. The research identifies the complex nature of parental emotions surrounding drug/alcohol misuse when social care services are involved. Parents conceptualised their experience as psychological trauma. They discussed the emotional roller-coaster of the effects of having combined interventions. The research provides insights into how drug/alcohol use can influence parenting. It also highlights issues for professional practice, including developing successful treatment models for substance-using parents.