bluuebunny/crossref_metadata_2025_split huggingface dataset:
ISLAMIC SECURITIES CROWDFUNDING RESEARCH: A BIBLIOMETRIC ANALYSIS
Authors: Tafitri Ulviya , Ulviya Tafitri  , Aniva Nur Fadhilah  , Muhammad Syafii Antonio  
Published: December 2023

The number of publications concentrating on Islamic Fintech and Securities Crowdfunding has significantly increased in recent years, especially from 2017 to 2023. Through bibliometric analyses using Dimension.ai, a dependable platform for accessing registered titles and abstracts, this growing interest has been thoroughly investigated. This investigation's main goal is to identify common topics and writing styles among the authors in this sector. The most recent information for this analysis was obtained by using the search term "Islamic Securities Crowdfunding" on the Dimension.ai platform on September 26, 2023. Many publications have made significant contributions to this increase in research output. A well-known work in this field, "The Crowdfunding and Islamic Securities: The Role of Financial Literacy," offers insightful information on how crowdfunding and Islamic securities interact. Further highlighting their importance and prevalence in the discourse around Islamic Securities Crowdfunding is the frequent use of the terms "Research," "Study," "Platform," and "Technology." This study highlights the most productive authors who have contributed to the academic environment in this area and examines the current trends. In conclusion, it is believed that the knowledge gained from this study would inform the future endeavors of academics and professionals working in this field.
Keywords: Islamic Securities Crowdfunding, Islamic Fintech, Bibliometric, Islamic Finance
Development and Validation of a Deep-Learning Model to Predict Total Hip Replacement on Radiographs
Authors: Xu Yi , Xiong Hao , Liu Weixuan , Liu Hang , Guo Jingyi , Wang Wei , Ruan Hongjiang , Sun Ziyang , Fan Cunyi 
Published: December 2023

Background:
There are few methods for accurately assessing the risk of total hip arthroplasty (THA) in patients with osteoarthritis. A novel and reliable method that could play a substantial role in research and clinical routine should be investigated. The purpose of the present study was to develop a deep-learning model that can reliably predict the risk of THA with use of radiographic images and clinical symptom data.

Methods:
This retrospective, multicenter, case-control study assessed hip joints on weighted-bearing anteroposterior pelvic radiographs obtained from Osteoarthritis Initiative (OAI) participants. Participants who underwent THA were matched to controls according to age, sex, body mass index, and ethnicity. Cases and controls were uniformly split into training, validation, and testing data sets at proportions of 72% (n = 528), 14% (n = 104), and 14% (n = 104), respectively. Images and clinical symptom data were passed through a detection model and a deep convolutional neural network (DCNN) model to predict the probability of THA within 9 years as well as the most likely time period for THA (0 to 2 years, 3 to 5 years, 6 to 9 years). Model performance was assessed with use of the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity in the testing set.

Results:
A total of 736 participants were evaluated, including 184 cases and 552 controls. The prediction model achieved an overall accuracy, sensitivity, and specificity of 91.35%, 92.59% and 86.96%, respectively, with an AUC of 0.944, for THA within 9 years. The AUC of the DCNN model for assessing the most likely time period was 0.907 for 0 to 2 years, 0.916 for 3 to 5 years, and 0.841 for 6 to 9 years. Gradient-weighted class activation mapping closely corresponded to regions affecting the prediction of the DCNN model.

Conclusions:
The proposed DCNN model is a reliable and valid method to predict the probability of THA—within limitations. It could assist clinicians in patient counseling and decision-making regarding the timing of the intervention. In the future, by increasing the size of the data set, enhancing the ethnic and socioeconomic diversity of the participants, and improving the follow-up rate, the quality of the conclusions can be further improved.

Level of Evidence:
Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Structural mechanisms of autoinhibition and substrate recognition by the ubiquitin ligase HACE1
Authors: Duering Jonas , Wolter Madita , Toplak Julia , Torres Camilo , Dybkov Olexandr , Fokkens Thornton , Bohnsack Katherine , Urlaub Henning , Steinchen Wieland , Dienemann Christian , Lorenz Sonja 
Published: December 2023

Abstract
Ubiquitin ligases (E3s) are pivotal specificity determinants in the ubiquitin system by selecting substrates and decorating them with distinct ubiquitin signals. Structure determination of the underlying, specific E3-substrate complexes, however, has proven challenging due to their transient nature. In particular, it is incompletely understood how members of the catalytic cysteine-driven class of HECT-type ligases position substrate proteins for modification. Here we report a cryo-EM structure of the full-length human HECT-type ligase HACE1, along with solution-based conformational analyses by small-angle X-ray scattering and hydrogen-deuterium exchange mass spectrometry. Structure-based functional analyses in vitro and in cells reveal that the activity of HACE1 is stringently regulated by dimerization-induced autoinhibition. The inhibition occurs at the first step of the catalytic cycle and is thus substrate-independent. We employ mechanism-based chemical crosslinking to reconstitute a complex of activated, monomeric HACE1 with its major substrate, RAC1, visualize its structure by cryo-EM, and validate the binding mode by solution-based analyses. Our findings explain how HACE1 achieves selectivity in ubiquitinating the active, GTP-loaded state of RAC1 and establish a framework for interpreting mutational alterations of the HACE1-RAC1 interplay in disease. More broadly, this work illuminates central unexplored aspects in the architecture, conformational dynamics, regulation, and specificity of full-length HECT-type ligases.
A Newborn Screening Programme for Inborn Errors of Metabolism in Galicia: 22 years of evaluation and follow-up
Authors: Couce Maria L. , Boveda Maria Dolores , Castiñeiras Daisy E. , Vazquez-Mosquera Maria-Eugenia , Barbosa-Gouveia Sofia , De Castro María Jose , Rodriguez Agustin Javier Iglesias , Colón Cristobal , Cocho Jose A. , Sanchez-Pintos Paula 
Published: December 2023

Abstract
Background
There is a notable lack of harmonisation in newborn screening (NBS) programmes worldwide. The Galician programme for early detection of inborn errors of metabolism (IEM) was one of the first NBS programmes in Europe to incorporate mass spectrometry (July 2000). This programme currently screens for 26 IEMs in dried blood and urine samples collected 24–72 hours after birth.
Results
In its 22-year history, this programme has analysed samples from 440,723 neonates and identified 326 cases of IEM with a prevalence of 1:1351. The most prevalent IEMs were hyperphenylalaninaemia (n = 118), followed by medium chain acyl-CoA dehydrogenase deficiency (MCADD, n = 26), galactosaemia (n = 20), and cystinurias (n = 43). Sixty-one false positives were detected and 18 related to maternal pathologies. Urine samples have been identified as a useful secondary sample to reduce the rate of false positives and identify new defects. There were 5 false negatives. The overall positive and negative predictive values were 84.23% and 99.99%, respectively. The fatality rate over a median of 12.1 years of follow-up was 2.76%. The intelligence quotient of patients was normal in 95.7% of cases, and school performance was largely optimal, with pedagogic special needs assistance required in < 10% of cases. Clinical onset of disease preceded diagnosis in 4% of cases. The age at which first NBS report is performed was reduced by 4 days since 2021.
Conclusions
This study highlights the benefits of collecting urine samples, reduce NBS reporting time and expanding the number of IEMs included in NBS programmes.
Exploring data analytics climate startups using BERTopic
Authors: Tea-makorn Pin Pin , Maitreenukul Punyanuch , Starita Stefano , Jindahra Pavitra 
Published: December 2023

Abstract
Data analytics has recently gained significant momentum in tackling various challenges, climate change included. This work explores the sector, funding, and innovation landscape of climate startups that leverage data analytics. It applies a recently developed natural language processing algorithm, BERTopic, to organically discover sectors from company descriptions and innovation categories from patent abstracts. We classified data analytics climate startups into 37 sectors, with agriculture being the most prolific. We found that the state of California alone has more of these startups than any other country in the world; most funding rounds were raised in the Seed stage, and most companies exited by acquisition; most of the innovations generated are related to automation security, while the electric vehicle sector is most prolific in creating innovation. Investors, analysts, and entrepreneurs can use these methods and results to process large datasets and aid decision-making in investments and climate-related policies.
Fast In-Line Failure Analysis of Sub-micron-sized Cracks in 3D Interconnect Technologies Utilizing Acoustic Interferometry
Authors: Brunner Roland , Paulachan Priya , Hammer Rene , Siegert Jörg , Wiesler Ingo 
Published: December 2023

Abstract

More than Moore technology is driving semiconductor devices towards higher complexity and further miniaturization. Device miniaturization strongly impacts failure analysis (FA), since it triggers the need for non-destructive approaches with high resolution in combination with cost and time efficient execution. Conventional scanning acoustic microscopy (SAM) is an indispensable tool for failure analysis in the semiconductor industry, however resolution and penetration capabilities are strongly limited by the transducer frequency. In this work, we conduct an acoustic interferometry approach, based on a SAM-setup utilizing 100 MHz lenses and enabling not only sufficient penetration depth but also high resolution for efficient in-line FA of Through Silicon Vias (TSVs). Accompanied elastodynamic finite integration technique-based simulations, provide an in-depth understanding concerning the acoustic wave excitation and propagation. We show that the controlled excitation of surface acoustic waves extends the contingency towards the detection of nm-sized cracks, an essential accomplishment for modern FA of 3D-integration technologies.
Unravelling the complexities of DNA-PK activation by structure-based mutagenesis.
Authors: Meek Katheryn , Buehl Christopher , Goff Noah , Mikhova Mariia , Hardwick Steven , Blundell Tom , Modesti Mauro , Schmidt Jens , Chaplin Amanda 
Published: December 2023

Abstract
It has been known for decades that the DNA-dependent protein kinase (DNA-PK) is only an active serine/threonine protein kinase when it is bound to a DNA double-stranded end; still, the molecular details of how this activation is achieved have remained elusive. The recent surge in structural information for DNA-PK complexes has provided valuable insights into the process of DNA end recognition by DNA-PK. A particularly intriguing feature of this kinase is a region of the protein that can transition from a seemingly structurally disordered state to a single alpha-helix that traverses down the DNA binding cradle. The DNA-PK bound DNA end of the DNA substrate engages with and appears to split around this helix which has been named the DNA End Blocking helix (DEB). Here a mutational approach is utilized to clarify the role of the DEB, and how DNA ends activate the enzyme. Our data suggest two distinct methods of kinase activation that is dependent on the DNA end chemistry. If the DNA end can split around the helix and stabilize the interaction between the DNA end and the DEB with a recently defined Helix-Hairpin-Helix (HHH) motif, the kinase forms an end-protection monomer that is active towards DNA-PK's many substrates. But if the DNA end cannot stably interact with the DEB [because of the DNA end structure, for instance hairpins, or because the DEB has been disrupted by mutation], the kinase is only partially activated, resulting in specific autophosphorylations of the DNA-PK monomer that allows nucleolytic end-processing. We posit that mutants that disrupt the capacity to stably generate the DEB/HHH DNA end-interaction are inefficient in generating the dimer complex that is requisite for NHEJ. In support of this idea, mutations that promote formation of this dimer partially rescue the severe cellular phenotypes associated with mutation of the DEB helix.
Effect of postharvest edible coatings on quality and shelf life of pear fruit cv. Punjab Beauty
Authors: Chouhan Navneet Kaur , Singh Veerpartap 
Published: December 2023

Abstract
Pear is a climacteric fruit, due to which it exhibits short postharvest life. Therefore, the present investigation entitled “Beeswax coating to enhance the storage life of sodium nitroprusside treated fruit of pear cv. Punjab Beauty” was conducted in the PG Department of Agriculture, Khalsa College, Amritsar during 2022. Pear fruits cv. Punjab Beauty were harvested and treated with combined coatings of sodium nitroprusside and beeswax at different formulations and stored under low temperature conditions for 60 days, while control fruits were dipped in plain water. All the treated and untreated fruits were then stored at cold storage conditions for 60 days. Both coated and uncoated fruits were analyzed for various physico-biochemical characteristics on 0th, 10th, 20th, 30th, 40th, 50th and 60th day of cold storage. The results reflected that SNP @ 1 mmol + Beeswax @ 5% treatment showed a significant reduction in weight loss and spoilage loss while maintained highest firmness, TSS and titratable acidity as compared to other treatments as well as uncoated fruit. It was found that a postharvest application of SNP @ 1 mmol + Beeswax @ 5% was beneficial in delaying the ripening process and can be used to enhance the shelf life of pear fruit with acceptable fruit quality upto the 60th day of storage period.
Correlation of Sonographic Features with Prognostic Factors in Ductal Carcinoma In Situ: An Exploratory Study Using Ultrasound and Shear Wave Elastography
Authors: Shi Jianan , Yang Shiyun , Niu Qinghua , Zhao Lei , Jia Chao , Du Lianfang , Li Fan , Liu Yang 
Published: December 2023

Abstract
Objective
To investigate the correlation between sonographic features obtained from conventional ultrasound (Con-US) and shear wave elastography (SWE) with pathological prognostic factors in ductal carcinoma in situ (DCIS), and to evaluate the efficacy of combining these two modalities in predicting DCIS prognosis.
Methods
A retrospective analysis was conducted on clinical data, Con-US, and SWE imaging features of 83 DCIS patients who underwent surgical resection between June 2018 and December 2022. Binary logistic regression analysis was performed to explore the relationship between sonogram indices and pathological prognostic factors.
Results
The results revealed that microcalcification observed on Con-US was an independent risk factor for high-grade DCIS and comedonecrosis (odds ratio (OR) = 5.316 and 4.512). In SWE images, the Emax value was significantly different between the non-high-grade and high-grade DCIS groups (P = 0.006), with an Emax value greater than 75.03 kPa identified as an independent risk factor for high-grade DCIS (OR = 1.022 and the area under the curve (AUC) 0.682, 95% confidence interval (CI) 0.555–0.808). Additionally, the Ecolor, Emax, Emean, and EmeanSD values were statistically different between the groups with and without comedonecrosis (P = 0.049, 0.006, 0.012, 0.022), with an Emean value exceeding 30.45 kPa identified as an independent risk factor for comedonecrosis (OR = 1.025, and the AUC 0.708, 95% CI 0.562–0.854). Furthermore, combining microcalcification on Con-US with specific SWE indicators demonstrated an improved predictive specificity for high-grade DCIS and comedonecrosis (results were 0.902 and 0.889, respectively). No significant difference was found in other indexes on SWE.
Conclusions
These findings suggest that integrating Con-US and SWE modalities can enhance the predictive performance of DCIS prognosis assessment.
A Case of MELAS Syndrome with Tuberculous Meningitis
Authors: Sun Zengxian , Liu Sheng , Fang Jing , Lan Juhong , Lan Junwei 
Published: December 2023

Abstract

Mitochondrial encephalomyopathy with hyperlactatemia and stroke-like episodes (MELAS) is a multisystem metabolic disorder caused by mutations in mitochondrial DNA or nuclear DNA. Tuberculous meningitis (TBM) is the most common severe form of extrapulmonary tuberculosis in children, presents with nonspecific clinical symptoms, poses challenges for early diagnosis, and has a high mortality rate. Neurologic sequelae are also common among surviving children. This article presents a case study of a patient with MELAS (caused by the mtDNA13513G > A mutation) combined with tuberculous meningitis. Our findings suggest that MELAS may be a risk factor for the development of TBM and provide valuable insights into the successful diagnosis and treatment of this combination.
Application of individualized teaching for postgraduate students of otorhinolaryngology head and neck surgery
Authors: Ye Dong , Zhang Liping , Gong Mengdan , Xiang Yizhen , Shen Zhisen 
Published: December 2023

Abstract
Background
Otorhinolaryngology head and neck surgery (ENT) is a highly practical field, characterized by intricate anatomy and complex structures that necessitate precise equipment utilization for clear identification. Consequently, postgraduate students often grapple with apprehension due to the perceived difficulties, which dampens their enthusiasm for learning and adversely impacts their academic performance.
Methods
To address the challenges faced by postgraduate students in comprehending theoretical knowledge, honing skills, and fostering comprehensive development, we implemented a standardized and individualized teaching approach in ENT for 64 students over a span of three years (from September 2019 to August 2022). This initiative aimed to enhance students’ proficiency in theoretical knowledge and practical skills within the field.
Results
Over the past 3 years, the theoretical test scores of students undergoing training at the ENT professional base have shown significant improvement, with an average score increase of more than 10 points. In clinical settings, all students received standardized training in operational skills, comprehended critical nuances, and adeptly applied their knowledge, understanding not just how and why but also successfully translating theory into practice. Moreover, in the realm of scientific research, students have acquired essential skills in planning, executing research, and generating their unique ideas for routine research programs. Each student has authored at least one professional article, demonstrating a strong foundation for future project submissions and high-quality paper composition.
Conclusions
The teaching methodology combining standardization and individualization serves as a cornerstone for nurturing innovative and proficient medical professionals while significantly enhancing students’ comprehensive skill set and abilities.
Revisiting the Agentic Shift: Obedience increases the Perceived Time Between Own Action and Results
Authors: Akyuz Nil , Marien Hans , Stok Marijn , Driessen Josi , de Wit John , Aarts Henk 
Published: December 2023

Abstract

The concept of 'agentic shift,' introduced by Stanley Milgram, suggests that obedience reduces the sense of agency. A recent study examined this idea in a financial harm context and showed that coercion increases the perceived time between action and outcomes – a marker of agency. Importantly, in this study, participants were agent and victim (relying on a reciprocal relationship) and first experienced free choices, followed by forced choices. This diverts from Milgram’s original study, where participants were no victims but only agents who were forced to harm. The current study replicates and extends these findings in an online meeting setting where participants only served as agents and the order of free vs. forced choice was counterbalanced. Substantiating earlier findings, forced choices reduced temporal binding (increased time interval estimations) compared to free choices independent of the order. We briefly discuss the importance of replications of coercion effects on the sense of agency, particularly in online decision-making settings.
miR-324 mediates bone homeostasis through the regulation of osteoblast and osteoclast differentiation and activity
Authors: Young David , Hayman Dan , Brito Francesca Johnson de Sousa , Lin Hua , Prior Amanda , Charlesworth Gemma , Hao Yao , Pearson Rachel , Soul Jamie , Clark Ian , Piróg Katarzyna , Hof Rob van 't , Barter Matt J. 
Published: December 2023

Abstract
microRNAs (miRNAs) modulate the expression of other RNA molecules. One miRNA can target many transcripts, allowing each miRNA to play key roles in many biological pathways. miR-324 is implicated in bone and cartilage maintenance, defects of which result in the common age-related diseases osteoporosis and osteoarthritis. Here, in global miR-324-null mice cartilage damage was increased in both surgically and ageing-induced osteoarthritis, despite minimal changes to the cartilage transcriptome. However, in vivo micro-computed tomography and histology demonstrated that the mice showed increased bone mineral density and both trabecular and cortical thickness, with effect magnitudes increasing with age. The bone marrow of miR-324-null mice also had reduced lipid content while in vivo TRAP staining revealed a decrease in osteoclasts, with histomorphometry demonstrating an increased rate of bone formation. Ex vivo assays showed that the high bone mass phenotype of miR-324-null mice resulted from increased osteoblast activity and decreased osteoclastogenesis. RNA-seq analysis of osteoblasts, osteoclasts and bone marrow macrophages and target validation assays identified that the osteoclast fusion regulator Pin1 and the master osteogenic regulator were targets of miR-324-5p in osteoclast lineage cells and osteoblasts, respectively. Indeed, in vitro Runx2 overexpression recapitulated the increased osteogenesis and decreased adipogenesis phenotype observed in vivo by the loss of miR-324. Overall, these data demonstrate the importance of miR-324 in skeletal biology and that altered bone homeostasis is likely causal for the increased cartilage damage observed during osteoarthritis and ageing. Elucidation of pathways regulated by miR-324 offer promise for the treatment of bone diseases such as osteoporosis.