bluuebunny/crossref_metadata_2025_split huggingface dataset:
ASEAN energy transition pathway toward the 2030 agenda
Authors: Safrina Rika , Utama Nuki Agya 
Published: February 2023

AbstractIt is known that ASEAN has been one of the most dynamic and fastest‐growing regions in the world in recent decades and will still be expected to contribute largely to global economic growth in the next decades. Not only facing a growing energy demand, but ASEAN also needs to balance its energy trilemma (energy security, energy equity, and energy sustainability). On the other hand, ASEAN countries also acknowledge the need for transitioning into a low‐carbon economy to contribute to the global agenda of sustainable development goals 2030. Considering all the challenges, we argue that a comprehensive review of the historical and outlook of the ASEAN energy landscape, as well as national and regional energy policies, is important to investigate the capability of ASEAN Member States (AMS) to accelerate energy transition while securing energy supply. ASEAN has been a net importer of oil since before 2005, with transport accounting for the largest share of oil demand. Measures in the transportation sector need to be taken by the AMS by enhancing their biofuels and electric vehicle developments. The electricity grid can also be more diversified with the integration of renewable energy, considering the region possesses the untapped potential for hydro and solar, among others. Public financing is required to create a supportive environment for the ASEAN energy transition pathway by opening up the path and catalyzing market participation from private businesses. This article aims to provide a novel contribution to assessing energy potential in the Southeast Asia region toward the 2030 global agenda.
A Machine‐Learning‐Based Bibliometric Analysis of Cell Membrane‐Coated Nanoparticles in Biomedical Applications over the Past Eleven Years
Authors: Zhang Yiyin , Jin Shengxi , Li Duguang , Chen Guoqiao , Chen Yongle , Xia Qiming , Mao Qijiang , Li Yiling , Yang Jing , Fan Xiaoxiao , Lin Hui 
Published: February 2023

AbstractCell membrane encapsulation is a growing concept in nanomedicine, for it achieves the purpose of camouﬂage nanoparticles, realizing the convenience for drug delivery, bio‐imaging, and detoxification. Cell membranes are constructed by bilayer lipid phospholipid layers, which have unique properties in cellular uptake mechanism, targeting ability, immunomodulation, and regeneration. Current medical applications of cell membranes include cancers, inflammations, regenerations, and so on. In this article, a general bibliometric overview is conducted of cell membrane‐coated nanoparticles covering 11 years of evolution in order to provide researchers in the field with a comprehensive view of the relevant achievements and trends. The authors analyze the data from Web of Science Core Collection database, and extract the annual publications and citations, most productive countries/regions, most influential scholars, the collaborations of journals and institutions. The authors also divided cell membranes into several subgroups to further understand the application of different cell membranes in medical scenarios. This study summarizes the current research overview in cell membrane‐coated nanoparticles and intuitively provides a direction for future research.
Effectiveness of continuity of care in reducing depression symptoms in elderly: A systematic review and meta‐analysis
Authors: Li Chaoyang , Wu Man , Qiao Guiyuan , Gao Xiaolian , Hu Ting , Zhao Xueyang , Zhu Xinhong , Yang Fen 
Published: February 2023

AbstractBackgroundDepression affects 10%–20% of older adults worldwide. The course of late‐life depression (LLD) is often chronic, with a poor long‐term prognosis. Lower treatment adherence, stigma, and suicide risk lead to significant challenges in the continuity of care (COC) for patients with LLD. Elderly patients with chronic diseases can benefit from COC. As a common chronic disease of the elderly, whether depression can also benefit from COC has not been systematically reviewed.MethodsSystematic literature search in Embase, Cochrane Library, Web of Science, Ovid, PubMed and Medline. Randomized Controlled Trials (RCTs) on the intervention effects of COC and LLD, published on 12 April 2022, were selected. Two independent researchers made research choices based on consensus. An RCT with COC as an intervention measure for the elderly with depression 60 years old was the inclusion criteria.ResultsA total of 10 RCTs involving 1557 participants were identified in this study. The findings showed that: (1) COC significantly reduced depressive symptoms compared to usual care (standardized mean difference [SMD] = −0.47, 95% confidence interval: −0.63 to −0.31), with the best improvement at 3‐ to 6‐month follow‐up; (2) The reduction in depressive symptoms was more pronounced for patients with comorbid chronic conditions with LLD (SMD = −0.93, 95% CI: −1.18 to −0.68); (3) COC was more effective than other regions for LLD in Europe and the Americas (SMD = −0.84, 95% CI: −1.07 to −0.61); and (4) COC had a positive impact on the quality of life of patients with LLD (SMD = 0.21, 95% CI: 0.02–0.40).LimitationsThe included studies included several multi‐component interventions with widely varying methods. Therefore, it was almost impossible to analyze which of these interventions had an impact on the assessed outcomes.ConclusionsThis meta‐analysis shows that COC can significantly reduce depressive symptoms and improve quality of life in patients with LLD. However, when treating and caring for patients with LLD, health care providers should also pay attention to timely adjustments of intervention plans according to follow‐up, synergistic interventions for multiple co‐morbidities, and actively learning from advanced COC programs at home and abroad to improve the quality and effectiveness of services.
The trend in density of skilled health personnel in BRICS countries: Implication for China and India
Authors: Yan Fei , Li Hongxia , Wang Wei , Zhang Jian 
Published: February 2023

AbstractObjectiveThe similarities and differences in workforce trends in BRICS (Brazil, Russia, India, China, and South Africa) may offer reciprocal lessons for emerging economies.MethodsWe used the Global Health Observatory data to assess the secular trends between 2001 and 2017 in the number of skilled health personnel (SHP: doctors, nurses/midwives) in BRICS compared to the average of Organization for Economic Co‐operation and Development (OECD) countries.ResultsSubstantial efforts have been made in BRICS to increase SHP availability, as demonstrated by an average exponential growth rate (AEGR) > 0.03 in Brazil, China, and India compared to 0.01 in OECD. With an AEGR as high as 0.07 after 2008, China reached the level of SHP availability commensurate with the sustainable development goals (SDGs) in 2017. Other than China, BRICS countries had a mean number of nurses and midwives per doctor between 2001 and 2017 higher than or comparable to the OECD average (2.78). The corresponding number in China was 1.04 in 2017, lower than 2.21 in India in 2001.ConclusionsWith China as the exception, BRICS countries maintained a sustainable skills mix of SHPs. China reached the level of SHP availability commensurate with the SDGs, but SHP's skill mix was imbalanced.
A porous swelling copolymeric material for improved implant fixation to bone
Authors: Siegler Sorin , Taghvaei Moein , Zegarski Ryan , Palmese Giuseppe , Mathew Rena , Schayes Julia , Schaer Thomas , Najafi Ahmad 
Published: February 2023

AbstractMost metallic commercial bone anchors, such as screws and suture anchors achieve their fixation to bone through shear of the bone located between the threads. They have several deficiencies, potentially leading to failure, which are particularly evident in low‐density bone. These include stress‐shielding resulting from mechanical properties mismatch; lack of mechanically induced remodeling and osteointegration; and when the pullout force on the anchor, during functional activities, exceeds their pullout strength, catastrophic failure occurs leaving behind large bone defects that may be hard to repair. To overcome these deficiencies, we introduced in this study a porous swelling co‐polymeric material and studied its swelling and compressive mechanical characteristics as bone anchor under different configurations. Porosity was achieved by adding a non‐dissolvable agent (NaCl) during the process of polymerization, which was later dissolved in water, leaving behind a porous structure with adequate porosity for osteointegration. Three different groups of cylindrical samples of the swelling co‐polymer were investigated. Solid, fully porous, and partially porous with a solid core and a porous outer layer. The results of the swelling and simple compression study show that the partially porous swelling co‐polymer maintains excellent mechanical properties matching those of cancellous bone, quick swelling response, and an adequate porous outer layer for mechanically induced osteointegration. These suggest that this material may present an effective alternative to conventional bone anchors particularly in low‐density bone.
Comparison of interferometric light microscopy with nanoparticle tracking analysis for the study of extracellular vesicles and bacteriophages
Authors: Sausset Romain , Krupova Zuzana , Guédon Eric , Peron Sandrine , Grangier Alice , Petit Marie‐Agnès , De Sordi Luisa , De Paepe Marianne 
Published: February 2023

AbstractResearch on extracellular vesicles (EVs) and bacteriophages (phages) has been steadily expanding over the past decades as many of their roles in medicine, biology, and ecosystems have been unveiled. Such interest has brought about the need for new tools to quantify and determine the sizes of these biological nanoparticles. A new device based on interferometric light microscopy (ILM), the Videodrop, was recently developed for this purpose. Here, we compared this new device to two nanoparticle tracking analysis (NTA) devices, the NanoSight and the ZetaView, for the analysis of EVs and phages. We used EVs isolated from bacteria, fecal samples, bovine milk and human cells, and phages of various sizes and shape, ranging from 30 to 120 nm of diameter. While NTA instruments correctly enumerated most phages, the Videodrop detected only the largest one, indicating a lower sensitivity threshold compared to the NTA devices. Nevertheless, the performance of the Videodrop compared favourably to that of the NTA devices for the determination of the concentration of eukaryotic EV samples. The NanoSight instrument provided the most precise size distributions but the Videodrop was by far the most time‐saving device, making it worthy of consideration for studies conducted on a large number of samples composed of nanoparticles larger than 90 nm.
Antimicrobial blue light as a biofilm management therapy at the skin‐implant interface in an ex vivo percutaneous osseointegrated implant model
Authors: Ong Jemi , Godfrey Rose , Nazarian Alexa , Tam Joshua , Drake Lynn , Isaacson Brad , Pasquina Paul , Williams Dustin 
Published: February 2023

AbstractBiofilm contamination is often present at the skin‐implant interface of transfemoral osseointegrated implants leading to frequent infection, irritation, and discomfort. New biofilm management regimens are needed as the current standard of washing the site with soap and water is inadequate to manage infection rates. We investigated the potential of antimicrobial blue light, which has reduced risk of resistance development and broad antimicrobial mechanisms. Our lab developed an antimicrobial blue light (aBL) device uniquely designed for an ex vivo system based on an established ovine osseointegrated (OI) implant model with Staphylococcus aureus ATCC 6538 biofilms as initial inocula. Samples were irradiated with aBL or washed for three consecutive days after which they were quantified. Colony‐forming unit (CFU) counts were compared with a control group (bacterial inocula without treatment). After 1 day, aBL administered as a single 6 h dose or two 1 h doses spaced 6 h apart both reduced the CFU count by 1.63 log10 ± 0.02 CFU. Over 3 days of treatment, a positive aBL trend was observed with a maximum reduction of ~2.7 log10 CFU following 6 h of treatment, indicating a relation between multiple days of irradiation and greater CFU reductions. aBL was more effective at reducing the biofilm burden at the skin‐implant interface compared with the wash group, demonstrating the potential of aBL as a biofilm management option.
Accurate determination of hip implant wear, cup anteversion and inclination through AI automated 2D‐3D registration
Authors: Klebingat Stefan , Bien Tanja , Hürtgen Janine , Grover Priyanka , Dreischarf Marcel , Alkhateeb Shareef , Jäger Marcus , Rose Georg 
Published: February 2023

AbstractThe precise and accurate measurement of implant wear, acetabular cup anteversion and inclination from routine anterior‐posterior radiographs still poses a challenge. Current approaches suffer from time‐consuming procedures accompanied by low and observer‐dependent accuracy and precision. We present and validate a novel, automated method for determining total hip arthroplasty parameters by comparing its accuracy and precision with methods in contemporary scientific literature. The algorithm uses CAD‐model‐based two dimensional‐three dimensional (2D‐3D)‐registration supported by convolutional neural networks. Two in‐vitro experimental set‐ups were designed to validate the proposed 2D‐3D‐method. The set‐ups provided 84 predefined wear values and 24 configurations of anteversion and inclination in 114 radiographs. Accuracy and precision were evaluated by systematically comparing the predefined ground truth and the automatically calculated values from in‐vitro X‐rays. In addition, an algorithm was developed and validated against physician's measurements on clinical X‐rays to determine the inclination of the interteardrop (ITL) and biischial line (BL) to account for the individual patient's pelvic rotation in the frontal plane. Using X‐rays from experimental set‐ups, the determined mean error was 0.014 mm (standard deviation: 0.020 mm; root‐mean‐square‐error: 0.024 mm) for wear in pelvic position, −0.01° (0.24°; 0.23°) for radiographic cup anteversion, and 0.11° (0.38°; 0.39°) for radiographic cup inclination. The inclination of ITL and BL was automatically determined in all clinical X‐rays with excellent interclass correlation coefficients of 0.95 and 0.91, respectively. The presented algorithm allows the accurate and precise evaluation of total hip arthroplasty parameters without additional equipment. The method might help to investigate different implant designs, biomaterials, and surgical techniques with greater objectivity.
Construction of a hyperspectral estimation model for total nitrogen content in Shajiang black soil
Authors: Niu Zhen , Shi Lei , Qiao Hongbo , Xu Xin , Wang Weiwei , Ma Xinming , Zhang Juanjuan 
Published: February 2023

AbstractBackgroundThe real‐time non‐destructive estimation of soil total nitrogen content via hyperspectral remote sensing is important for crop fertilization and precision agriculture development.AimsThe study aimed to use hyperspectral technology for the construction of an estimation model using different methods for assessing total nitrogen content in Shajiang black soil.MethodsIn our study, soil samples were obtained from Shangshui County, Henan Province, China. Using hyperspectral data of soil samples, the original spectral reflectance was transformed into logarithmic, reciprocal, and first derivative spectra. Hyperspectral estimation models for assessing the total nitrogen content were built with spectral indices, competitive adaptive reweighted sampling (CARS) algorithms, and a combination of machine learning methods, including the partial least square regression, support vector machine (SVM), and random forest methods.ResultsThe results showed that after the first derivative transformation, the performance of normalized indices constructed with a combination of two bands at 1401 and 776 nm was better. The coefficient of determination (R2), root mean square error (RMSE), ratio of performance to deviation (RPD), and ratio of performance to the inter‐quartile range (RPIQ) values of the model were 0.84, 0.10 g kg–1, 2.25, and 4.04, respectively. Validation was performed using data independent of the modeling samples, and validation R2, RMSE, RPD, and RPIQ values were 0.92, 0.07 g kg–1, 2.56, and 4.19, respectively. The same sample was analyzed using a CARS algorithm for screening feature bands, and the 61 reciprocal reflectance bands selected as the input for the SVM exhibited the best performance. A modeling R2 value of 0.92, RMSE of 0.07 g kg–1, RPD of 3.09, RPIQ of 5.97, and validation R2 of 0.96, RMSE of 0.06 g kg–1, RPD of 3.24, and RPIQ of 8.47 were observed.ConclusionsThe estimation models constructed using the two methods exhibited good ability to determine the total nitrogen content. The accuracy of the SVM model was slightly higher than that of the indices model, but both models could facilitate the rapid estimation of total nitrogen content in Shajiang black soil. The findings can provide a technical reference for the estimation of the levels of soil total nitrogen and other nutrients.
A rapid and nondestructive approach for forensic identification of novel psychoactive substances using shifted‐excitation Raman difference spectroscopy and machine learning
Authors: Tian Luchuan , Jiang Hong , Chen Tanzhi 
Published: February 2023

AbstractRapid drug detection is vital for combating drug abuse and inhibiting transmission, and the emergence of various novel psychoactive substances (NPS) has placed higher demands on field testing. To establish a rapid, nondestructive, and accurate analytical and classification method for testing novel psychoactive substances, shifted‐excitation Raman difference spectroscopy (SERDS) was used to detect 37 NPS including fentanyl, amphetamine, and synthetic cannabinoid under the experimental conditions of laser light source (785 and 785.5 nm). SERDS was also used in conjunction with machine learning to find the best classification prediction model. In this study, the characteristic peaks of 37 NPS analogs were extracted, and the characteristic peaks were attributed to the structures of the substances. We compared the classification effects of Support Vector Machine (SVM), K‐NearestNeighbor (KNN), ensemble classifier, neural network, tree, naive Bayes, and discriminant analysis and provided three hyperparametric optimization methods. Finally, the cross‐validation accuracy of SVM under BOA optimization is 97.3%, which can well distinguish three families of samples. The ability of SERDS to resist strong fluorescence interference makes it a powerful tool for on‐site analysis of NPS. In this study, we have given 37 unreported standard Raman peaks of NPS and three seized samples, which can be used as a reference. Shifted‐excitation differential Raman spectroscopy combined with machine learning can effectively provide solutions for customs, health care, on‐site police, large event security, and trace evidence inspection.
Long‐Term Follow‐up of Parenteral Bevacizumab In Patients with Recurrent Respiratory Papillomatosis
Authors: Ballestas Samir A. , Hidalgo Lopez Julio , Klein Adam M. , Steuer Conor , Shin Dong M. , Abousaud Marin , Schmitt Nicole C. , Teng Yong , Saba Nabil F. , Tkaczuk Andrew T. 
Published: February 2023

ObjectiveThe clinical course of recurrent respiratory papillomatosis (RRP) varies from spontaneous remission to severe airway obstruction with wide variability in recurrence. Standard treatment involves debulking to improve voice and/or breathing. Non‐surgical therapies are emerging in hopes of non‐operative disease control. This retrospective review analyzes long‐term safety, efficacy, and durability of clinical control in the largest reported series of parenteral bevacizumab in adults with RRP.MethodsTwenty‐three patients with known RRP who have been receiving off‐label systemic bevacizumab were included. Dosage, infusion interval, number of cycles, debulking requirements, subjective outcomes, adverse events, and reasons for treatment termination were investigated.ResultsPatients have been followed for an average of 791.43 (21–1468) days. The most common starting dosing regimen was 15 mg/kg at 3 weeks in 11 followed by 10 mg/kg at 6 weeks intervals in 6 individuals. Long‐term maintenance dosage varied with the least intensive regimen being 10 mg/kg at 14‐week intervals. Subjective improvement of voice and/or breathing was reported in 18/23 subjects. The median time for patients that needed a procedure after treatment was 634 days. Procedures after infusions decreased from 3.08 ± 2.48 procedures in the year prior to 0.52 ± 1.12 during systemic Bevacizumab, and to 0.86 ± 2.05 after stopping bevacizumab. Therapy termination occurred in 8 subjects where only 3 were due to adverse events.ConclusionParenteral bevacizumab remains a well‐tolerated treatment for patients with recalcitrant RRP. There appears to be a durable reduction in the frequency of debulking surgery requirements although on a maintenance regimen. Laryngoscope, 133:2725–2733, 2023
Market chain analysis of chickpea in Northwest Ethiopia
Authors: Worku Chernet , Mengistu Mulat , Bezie Sosina 
Published: February 2023

AbstractThe purpose of the paper is to explain the organization, behaviours and output of smallholder farmers of chickpea market and to analyse the structure–conduct–performance (S‐C‐P) of chickpea in the study area. The study was supported by a recent empirical study and used primary and secondary data from 122 respondents, as well as published and unpublished documents, to better understand how market structure and seller behaviour affect market performance. The study was conducted using the S‐C‐P model analytical approach. Weak oligopoly dominates the chickpea market in the research area (concentrated in the hands of few traders). The goal of the study was to fill the knowledge gap that existed on the topic, contribute to a proper understanding of the difficulties and enhance market development strategies for the benefit of producers, traders and other market participants. According to the research of the market structure, the district market has an oligopolistic market structure with a concentration ratio of 43.35%. In addition, the market is restricted by entry‐level obstacles such as a lack of funding, licensing requirements, the issue of constant supply and a lack of prior expertise in chickpea trading activities. The oligopolistic market structure has also led to chickpea market behaviours that is distinguished by a market strategy where the traders have the upper hand in determining the chickpea price. The study focuses on raising farmers' educational levels, enhancing extension and finance services, building transportation facilities to provide producers more negotiating leverage and accessing improved production techniques as a way to choose the best marketing outlet. Government agencies and relevant parties must step in to address the issues by disseminating current market data on the chickpea industry, enhancing market connectivity and supplying the market with their goods at competitive prices.