bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recycling End-of-Life Photovoltaic Modules in Malaysia: Challenges and Potential Solutions
Authors: Yu Hui Fang , Hasanuzzaman Md , Rahim Nasrudin Abd 
Published: December 2023

Abstract
As evidenced from recent policies encouraging renewable energy (RE) penetration in Malaysia, it is envisioned that solar photovoltaic (PV) in the country will receive a significant boost in growth as well. The proliferation of solar PV systems is viewed as a great leap in assisting the decarbonization of our energy generation systems, yet concerns have been raised on the sustainable management of the emerging waste PV modules. Currently, the common treatment methods for the majority of end-of-life (EoL) PV modules in many countries including Malaysia, are landfill disposal or bulk recycling in pre-existing recycling facilities. Even though these methods are simpler in operation due to minimal efforts required to sustainably manage these EoL modules, there is a high probability for environmental issues to occur including leakage of toxic materials and loss of valuable resources. As a result, high-value closed-loop recycling has been proposed to remediate these detrimental effects, but its execution could introduce challenges in Malaysia which this paper attempts to examine upon. Consequently, recommendations to alleviate the challenges faced are proposed, along with potential trade-offs that may arise from the solutions suggested. In essence, research and development (R&D), support from the authorities, as well as cooperation between governmental and private organisations, are necessary in establishing a sustainable and holistic framework for managing PV waste in Malaysia.
Impact of different surfactants on graphene nanoplates enhanced paraffin-based phase change material
Authors: Noran N K , Pandey A K , Selvaraj Jeyraj , Buddhi D , Tyagi V V 
Published: December 2023

Abstract
Phase change materials (PCMs) is a unique material that been widely explored for thermal energy storage (TES). PCM nature of low thermal conductivity limits the performance and heat transfer characteristics. Nano-filler been used widely to enhanced PCM thermal conductivity and improved the thermal physical properties. This research work study the nano-filler impact of graphene nano plate (GNP) enhanced paraffin-based PCM with different surfactant (cetryl trimethyl ammonium bromide; CTAB and SDBS) being added. Two step method being applied to fabricate the composites of RG (RT44HC with GNP), RGC (RG with CTAB) and RGS (RG with SDBS) in different weight percentage. The analysis on Fourier transform infrared spectrum shows stable results chemically and physically. The thermal stability shows an improvement as GNP prolong the weight degradation temperature of the composite. An improvement in thermal conductivity to 59.1% achieved as the SDBS surfactant added to RG composite. The addition of GNP and surfactant gives promising results and improvement in RG composite development for TES application in photovoltaic thermal (PVT) system.
Organic Solar cells: Recent advances and Challenges
Authors: Saïd Ali , Rahmat Mohd Khairil , Rozlan Mohd Helmy Hakimie Mohd 
Published: December 2023

Abstract
In recent time, Organic Solar Cells (OSCs) have made a great progress in pursuing high power conversion, reaching the application threshold. Researchers have advanced past basic concepts of charge carrier dynamics in organic semiconductors to create devices with an experimental power conversion efficiency of about 18%. This review highlights the progress of OSC efficiency and investigate the state-of-art of organic cells in various factors such as temperature, energy conversion efficiency, solar shedding, operation and monitoring that affect the solar panel efficiency. Literature has shown how organic solar cells are seen as the solar technology of the future where it is offering the lowest energy payback times, ecology sustainability, while its energy efficiency still dropping, and a high energy loss is observed.
Comparative research on the speed performance of Axial flux Permanent Magnet Generator (PMG)165 with manufacturing specification and experimental for implementation in the Low-Speed Wind Turbine System
Authors: Hamzah Jupry , Idris Mohd Razif 
Published: December 2023

Abstract
This paper is on working on energy assessment of generator’s voltage, current and power output based on the generator speed. Today, demand of power is increasing because of technology advancement and increasing electrical devices being manufactured and installed. For this reason, the generator applied in renewable energy is recommended. It must be improved because it is an important component inside the energy system in producing enough power. This research is used the DC Motor function as prime mover and direct shaft to the shaft connection of AFPM165. The parameters of the investigational research are generator speed (rpm), DC current value form generator output (Amp), and voltage value (V). The speed of DC Motor has been gradually increases, from 0 ∼ 300 rpm by adjusted speed adjustment knob. The series circuit 15-ohm resistor and 5 Watts lamp to make it total 19-ohm constant as a load. The result is presented that the more speed of generator, the more voltage, and current it can be inducted. The findings of the study are presented that there is a difference between the factory specification and the experiment where the experimental value is more than the factory specification value which is 11.43% variation.
One-pot Conversion of Sago Pith Waste (SPW) into 5-Hydroxymethyl Furfural (HMF)
Authors: Derosya Vioni , Kawashima Ayato 
Published: December 2023

Abstract
Hydroxymethyl furfural (HMF) is widely understood to be a robust substitute feedstock for a wide array of petroleum-derived products such as plastic and fuel. Previous research delved into the use of waste (i.e., biomass) to produce HMF. These waste products stemmed from sugarcane bagasse, algae, bread, and banana. Our study is the first to report the use of sago pith waste (SPW), a by-product of the sago starch industry, for HMF production via simultaneous conversion in one pot. The production of HMF in such a manner not only yields an industrially important product (i.e., HMF) but also confers a sustainable waste management solution to the sago starch industry. SPW primarily consists of starch and fiber, and since the density of SPW affects the feed rate of the reactor, it is necessary to optimize the reaction temperature, sample volume, and amount of activated carbon to elucidate reaction conditions with a high HMF yield. By adding activated carbon and sodium chloride into the reaction mixture with a Bronsted-Lewis acid, we obtained 50-60% mole of HMF from SPW in a simultaneous reactor system at 160°C for 8 minutes.
An Experimental Investigation of Back Flow Cooling Tempered Glass Photovoltaic Thermal System in the Malaysian Peninsula Climate
Authors: Muhammad Ridwan , Selvaraj Jeyraj 
Published: December 2023

Abstract
Solar photovoltaic (PV) technology transforms sunlight into electricity and is expected to play a significant role in Malaysia’s renewable energy growth. However, as the temperature of the cell rises, so does its electrical efficiency. Photovoltaic thermal (PV/T) systems combine a PV system with a solar thermal collector (STC) to capture heat energy from solar cells and boost their efficiency. In this study, back flow thermal absorbers PV/T were designed utilizing cooper pipe, and the systems were constructed using monocrystalline cells, tempered glass, and epoxy lamination. Various designs of spiral, horizontal, and vertical pipes were used. The experiment was carried out between December and January at Wisma R&D, University of Malaya, with real-time data recording on power output, water, and surface temperatures at the peak sun irradiation of 735 W/m2 in Kuala Lumpur, Malaysia. The spiral PV/T system had the maximum daily electrical efficiency of 15.2%, compared to horizontal PV/T, vertical PV/T at a flow rate of 0.5 LPM, and PV system-only, which had daily electrical efficiencies of 14.4%, 14.36%, and 13.65%, respectively. The spiral PV/T system also had the highest daily thermal efficiency of 23.78%, compared to the horizontal and vertical PV/T systems, which had 23.02% and 13.95%, respectively. When compared to a PV system, the PV/T system increased the electrical efficiency of the module, with the spiral design having the highest efficiency among the designs.
Drill Bit Selection and Drilling Parameter Optimization using Machine Learning
Authors: Nautiyal A , Mishra A K 
Published: December 2023

Abstract
Machine Learning (ML) Algorithms have demonstrated their tremendous application in optimizing and enhancing the performance of various complex operations in the field of science and technology. In this research work, ML is applied to address two of the most critical factors affecting the drilling performance in the Oil and Gas Industry, which are drilling bit selection and drilling parameters optimization. Rate of Penetration is a key performance indicator of drilling efficiency, higher ROP signifies higher drilling efficiency. In this research work, a hyperparameter tuned Random Forest Regressor algorithm with an accuracy of 0.73 based on the coefficient of determination i.e., R2 Score, is used to develop ROP prediction model and subsequently drill bit selection and drilling parameters optimization is performed using Particle Swarm Optimization. The developed model has practical applicability in the selection of drill bit and optimization of drilling parameters in the Oil and Gas field. Higher ROP results in less drilling time, which correspondingly results in less capital expenditure on the project.
Series Motor Four Quadrants Drive DC Chopper Controllers Noise Cancellation
Authors: Sazali M.S. , Arof Saharul , Mawby Philip , Arof Hamzah , Noorsal Emilia 
Published: December 2023

Abstract
DC Series motor armature reaction causes EMI. EMI generates noise signals that affect feedback sensor readings, feedback controller function, and controller halting. This paper discusses software discrete filter and RLC hardware filter noise cancellation and filtering. The filter eliminates EMI-induced IGBT gate firing noise. Matlab/Simulink tests the filter circuit and digital filter control method, confirming software and hardware filter implementation.
Welding investigation of Hastelloy C-276 and parametric optimization using integrated MRA-TLBO algorithm during A-TIG process
Authors: Singh Aman , Singh Vivek , Singh Ajay Pratap , Ashutosh Som , Deep Akash , Patel Dixit , Ji Shyam , Soni Akash , Choudhury Bishub 
Published: December 2023

Abstract
A-TIG welding is a modified form of GTAW process that has become popular due to its ability to create high-quality welded joints with minimal cracks and distortion. This technique is commonly used to join various metals, including stainless steel, aluminum, titanium, and nickel alloys like Hastelloy C-276, which is used in fabrication of complex components across marine, nuclear, aerospace, and chemical industries. In this investigation, A-TIG welding of Hastelloy C-276 was studied using three parameters - welding current, welding speed, and gas flow rate - at three distinct levels. The impact of these parameters were analyzed on two responses, namely penetration depth and width of weld. Macrostructural investigation, sensitivity analysis, and parametric studies revealed that welding current (I) had the most influence, followed by speed of welding (S) and flow rate of gas(G). Full quadratic multiple regression analysis-based models were developed for both responses, which were found to be suitable with a higher coefficient of determination and an average percentage error of 2.165% and 2.624%, respectively. Additionally, a teaching learning based optimization algorithm was integrated with these models to identify the most effective A-TIG parameter combination for higher penetration depth and lower weld width. The MRA-TLBO integrated approach resulted in an optimal parametric combination of I (170A), S (180 mm min−1), and G (11.37 l min−1) that resulted in a penetration depth and weld width of 4.503 mm and 4.684 mm, respectively. Validation at this optimal setting showed an improvement of 3.365% and 1.284% for weld width and penetration depth, respectively, suggesting the robustness of the developed methodology.
Distinct anthropogenic greenhouse gas and aerosol induced marine heatwaves
Authors: Ren Xianglin , Liu Wei , Allen Robert J , Song Se-Yong 
Published: December 2023

Abstract
In the era of escalating climate change, understanding human impacts on marine heatwaves (MHWs) becomes essential. This study harnesses climate model historical and single forcing simulations to delve into the individual roles of anthropogenic greenhouse gases (GHGs) and aerosols in shaping the characteristics of global MHWs over the past several decades. The results suggest that GHG variations lead to longer-lasting, more frequent, and intense MHWs. In contrast, anthropogenic aerosols markedly curb the intensity and growth of MHWs. Further analysis of the sea surface temperature (SST) probability distribution reveals that anthropogenic GHGs and aerosols have opposing effects on the tails of the SST probability distribution, causing the tails to expand and contract, respectively. Climate extremes such as MHWs are accordingly promoted and reduced. Our study underscores the significant impacts of anthropogenic GHGs and aerosols on MHWs, which go far beyond the customary concept that these anthropogenic forcings modulate climate extremes by shifting global SST probabilities via modifying the mean-state SST.
The application of target trials with longitudinal targeted maximum likelihood estimation to assess the effect of alcohol consumption in adolescence on depressive symptoms in adulthood
Authors: Liu Yan , Schnitzer Mireille E , Herrera Ronald , Díaz Iván , O’Loughlin Jennifer , Sylvestre Marie-Pierre 
Published: December 2023

Abstract
Time-varying confounding is a common challenge for causal inference in observational studies with time-varying treatments, long follow-up periods, and participant dropout. Confounder adjustment using traditional approaches can be limited by data sparsity, weight instability, and computational issues. The Nicotine Dependence in Teens Study is a prospective cohort study, and we used data from 21 data collection cycles carried out from 1999 to 2008 among 1294 students recruited from 10 high schools in Montreal, Quebec, Canada, including follow-up into adulthood. Our aim in this study was to estimate associations of timing of alcohol initiation and cumulative duration of alcohol use with depression symptoms in adulthood. Based on the target trials framework, we defined intention-to-treat and as-treated parameters in a marginal structural model with sex as a potential effect-modifier. We then used the observational data to emulate the trials. For estimation, we used pooled longitudinal target maximum likelihood estimation, a plug-in estimator with double-robust and local efficiency properties. We describe strategies for dealing with high-dimensional potential drinking patterns and practical positivity violations due to a long follow-up time, including modifying the effect of interest by removing sparsely observed drinking patterns from the loss function and applying longitudinal modified treatment policies to represent the effect of discouraging drinking.
Profiles of interferon-stimulated genes in multiple tissues and circulating pregnancy-associated glycoproteins and their association with pregnancy loss in dairy cows
Authors: Domingues Rafael R , Andrade Joao Paulo N , Cunha Thiago O , Madureira Guilherme , Hoppman August S , Teixeira Natalia N , Monteiro Pedro L J , Gomez-Leon Victor H , Martins Joao Paulo N , Wiltbank Milo C 
Published: December 2023

Abstract
Pregnancy loss (PL) in lactating dairy cows disrupts reproductive and productive efficiency. We evaluated the expression of interferon-stimulated genes (ISG) in blood leukocytes, vaginal and cervical epithelial cells, luteolysis-related genes, progesterone, and pregnancy-associated glycoprotein (PAG) profiles in lactating dairy cows (n = 86) to gain insight about PL. Expression of ISG on d17, d19, and d21 was greater in cows that maintained the pregnancy (P33) compared to nonpregnant with no PL (NP). Greater ISG differences between groups were observed in the cervix (96.7-fold) than vagina (31.0-fold), and least in blood leukocytes (5.6-fold). Based on individual profiles of ISG and PAG, PL was determined to occur either before (~13%) or after (~25%) d22. For cows with PL before d22, ISG expression was similar on d17 but by d21 was lower and OXTR was greater than P33 cows and similar to NP; timing of luteolysis was similar compared to NP cows suggesting embryonic failure to promote luteal maintenance and to attach to the endometrium (no increase in PAG). For cows with PL after d22, ISG expression was similar to P33 cows on d17, d19, and d21 and luteolysis, when it occurred, was later than NP cows; delayed increase in PAG suggested later or inadequate embryonic attachment. In conclusion, PL before d22 occurred due to embryonic demise/failure to signal for luteal maintenance, as reflected in reduced ISG expression by d21. Alternatively, embryos with PL between d22 and 33 adequately signaled for luteal maintenance (ISG) but had delayed/inadequate embryonic attachment and/or inappropriate luteolysis causing PL.
Further refinement of the Patient-Reported Impact of Dermatological Diseases (PRIDD) measure using classical test theory and item response theory
Authors: Pattinson Rachael , Trialonis-Suthakharan Nirohshah , Pickles Tim , Austin Jennifer , FitzGerald Allison , Augustin Matthias , Bundy Christine 
Published: December 2023

Abstract

Background
Existing dermatology-specific Patient-Reported Outcome Measures (PROMs) do not fully capture the substantial physical, psychological and social impact of dermatological conditions on patients’ lives and are not recommended for use according to the COSMIN criteria. Most were developed with insufficient patient involvement and relied on classical psychometric methods. We are developing the new Patient-Reported Impact of Dermatological Diseases (PRIDD) measure for use in research and clinical practice in partnership with patients.

Objectives
To examine the factor structure of PRIDD, determine the definitive selection of items for each subscale, and establish structural validity and internal consistency through classical and modern psychometric methods.

Methods
Two cross-sectional online surveys were conducted. Adults (≥ 18 years) worldwide living with a dermatological condition were recruited through the membership network of the International Alliance of Dermatology Patient Organizations (GlobalSkin). They completed the PRIDD questionnaire and a demographics questionnaire via an online survey. We examined missing data and distribution of scores for each item. The factor structure was assessed using confirmatory and exploratory factor analysis (Survey 1). Internal consistency was examined using Cronbach’s α. Rasch measurement theory analyses were conducted, including iterative assessment of rating scale function, fit to the Rasch model, unidimensionality, reliability, local dependence, targeting and differential item functioning (DIF) (Surveys 1 and 2).

Results
Participants in Surveys 1 and 2 numbered 483 and 504 people, respectively. All items had ≤ 3% missing scores and all five response options were used. A four-factor model showed the best fit. PRIDD and all four subscales were internally consistent but showed some misfit to the Rasch measurement model. Adjustments were made to rectify disordered thresholds, remove misfitting items, local dependency and DIF, and improve targeting. The resulting 16-item version and subscales fit the Rasch model, showed no local dependency or DIF at the test level, and were well targeted.

Conclusions
This field test study produced the final PRIDD measure, consisting of 16 items across four domains. The data triangulated and refined the conceptual framework of impact and provide evidence of PRIDD’s structural validity and internal consistency. The final step in the development and validation of the PRIDD measure is to test the remaining measurement properties.
Characteristic patterns of functional connectivity-mediated cerebral small vessel disease-related cognitive impairment and depression
Authors: Xu Jingxian , Chen Haifeng , Hu Zheqi , Ke Zhihong , Qin Ruomeng , Chen Ying , Xu Yun 
Published: December 2023

Abstract
Cerebral small vessel disease is common in most individuals aged 60 years or older, and it is associated with cognitive dysfunction, depression, anxiety disorder, and mobility problems. Currently, many cerebral small vessel disease patients have both cognitive impairment and depressive symptoms, but the relationship between the 2 is unclear. The present research combined static and dynamic functional network connectivity methods to explore the patterns of functional networks in cerebral small vessel disease individuals with cognitive impairment and depression (cerebral small vessel disease–mild cognitive impairment with depression) and their relationship. We found specific functional network patterns in the cerebral small vessel disease–mild cognitive impairment with depression individuals (P &lt; 0.05). The cerebral small vessel disease individuals with depression exhibited unstable dynamic functional network connectivity states (transitions likelihood: P = 0.040). In addition, we found that the connections within the lateral visual network between the sensorimotor network and ventral attention network could mediate white matter hyperintensity-related cognitive impairment (indirect effect: 0.064; 95% CI: 0.003, 0.170) and depression (indirect effect: −0.415; 95% CI: −1.080, −0.011). Cognitive function can negatively regulate white matter hyperintensity-related depression. These findings elucidate the association between cognitive impairment and depression and provide new insights into the underlying mechanism of cerebral small vessel disease-related cognitive dysfunction and depression.
Increasing equity in adult immunization through community-level action
Authors: Koppaka Ram , Wharton Melinda , Lindley Megan C , Kohli Jitinder , Morita Julie 
Published: December 2023

Abstract
Inequities in availability and access to adult vaccinations represent significant gaps in the US public health infrastructure. Adults in racial and ethnic minority groups are less likely to receive routinely recommended vaccinations due to systemic barriers, distribution inequities, and lack of trust in vaccines; similar disparities were seen during early COVID-19 vaccination efforts. However, a deliberate focus on reducing disparities can yield progress. National data show narrowing of racial and ethnic adult COVID-19 vaccination coverage disparities over time, highlighting the value of the equity-focused, community-level interventions implemented during the pandemic. This paper describes the Centers for Disease Control and Prevention's efforts during the COVID-19 pandemic to address racial and ethnic disparities in adult immunization, and how lessons learned may be applied post-pandemic. Progress made is likely to be lost without sustained support for adult vaccination at national, state, and community levels.