bluuebunny/crossref_metadata_2025_split huggingface dataset:
Regionally adjusted stochastic earthquake ground motion models, associated variabilities and epistemic uncertainties
Authors: SUNNY JALEENA , de Angelis Marco , Edwards Benjamin 
Published: June 2023

Abstract
An optimization-based calibration technique, using the area metric, is applied to determine the input parameters of a stochastic earthquake-waveform simulation method. The calibration algorithm updates a model prior, specifically an estimate of a region’s seismological (source, path and site) parameters, typically developed using waveform data, or existing models, from a wide range of sources. In the absence of calibration, this can result in overestimates of a target region’s ground-motion variability, and in some cases, introduce biases. The proposed method simultaneously attains optimum estimates of the median, range and distribution (uncertainty) of these seismological parameters, and resultant ground motions, for a specific target region, through calibration of physically-constrained parametric models to local ground motion data. We apply the method to Italy, a region of moderate seismicity, using response spectra recorded in the European Strong Motion (ESM) dataset. As a prior, we utilise independent seismological models developed using strong-motion data across a wider European context. The calibration obtains values of each seismological parameter considered (such as, but not limited to, quality factor, geometrical spreading and stress drop), to develop suits of optimal parameters for locally adjusted stochastic ground motion simulation. We consider both the epistemic and aleatory variability associated with the calibration process. We were able to reduce the area metric (misfit) value by up to 88% for the simulations using updated parameters, compared to the initial prior. This framework for the calibration and updating of seismological models can help achieve robust and transparent regionally adjusted estimates of ground motion, and to consider epistemic uncertainty through correlated parameters.
Access to mental health services for people with complex chronic conditions: A qualitative study
Authors: Shah Amika , Shahil Anam , Nolan Robert P , Strudwick Gillian , Sockalingam Sanjeev , Seto Emily 
Published: June 2023

Abstract

Background
Mental health conditions are common among people living with complex chronic conditions (PLWCCC), yet recognition and treatment are low in medical settings.
Methods
To design appropriate mental health services for this population, a qualitative study was conducted to identify the factors affecting access to mental health care for PLWCCC. The study involved 13 PLWCCC enrolled in a heart failure management program, as well as 9 clinicians and researchers with expertise in mental health care and/or complex chronic conditions, recruited from a large academic hospital in Ontario, Canada between March 2021 and March 2022. Data collected from one-on-one semi-structured phone interviews were analyzed using inductive reflexive thematic analysis, and the resultant themes were mapped to the domains of Levesque’s patient-centred access to care framework.
Results
A total of 14 themes were identified, revealing barriers to mental health care at the system and patient levels. System-level barriers included health care system and service approachability (difficulties detecting mental health concerns; unpreparedness for referral conversations), availability and accommodation (available mental health services were limited; services were poorly timed; pathways to care were inconsistent), and affordability (limited human resources; lack of options for choice or finding fit; insufficiency of generic mental health services). Patient-level barriers included limitations in the ability to perceive mental health needs (low mental health literacy; denial, stoicism, and self-reliant coping methods), as well as seek (stigma), reach (inconvenience of in-person delivery), and pay (lack of full insurance coverage and high cost of psychological services) for mental health care hindered access.
Conclusion
Given the multi-level factors identified that hinder access to mental health care services for this population, service pathways should seek to enhance the approachability, availability, and appropriateness of mental health services and promote the ability of PLWCCC to perceive their mental health needs.
Profiling the Antidiabetic Potential of Compounds Identified from Fractionated Extracts of Entada africana towards Glucokinase Stimulation: Computational Insight
Authors: Onikanni Sunday Amos , Lawal Bashir , Munyembaraga Valens , Bakare Oluwafemi Shittu , Taher Muhammad , Khotib Junaidi , Susanti Deny , Oyinloye Babatunji Emmanuel , Famuti Ayodeji , Fadaka Adewale Oluwaseun , Ajiboye Basiru Olaitan 
Published: June 2023

Abstract
Glucokinase has play an important role in regulating blood glucose level and serves as one essential therapeutic target in type 2 diabetes management. Entada africana, medicinal plant and highly rich source of bioactive ligands with potency to develop new target drug for glucokinase such as diabetes and obesity. Therefore, the study explored computational approach to predict identified compounds from Entada africana following its intermolecular interactions with the enzymes allosteric binding site. Online retrieved of three-dimensional (3D) crystal structure of Glucokinase (PDB ID: 4L3Q) from the protein data bank and prepared using the Maestro 13.5, Schrödinger Suite 2022-3. The compounds identified were subjected to ADME, docking analysis, pharmacophore modeling and molecular simulation. The Result shows the binding potential of identified ligands to the amino acid residues thereby suggests an interaction of the amino acids with the ligand at the binding site of Glucokinase activator through conventional chemical bonds such as hydrogen bonds and hydrophobic interactions. The compatibility of the molecules is highly observed when compared with standard ligand thereby lead to structural and functional changes. Therefore, the bioactive components from Entada africana could be a good driver of glucokinase thereby pave the way for the discovery of therapeutic drugs for the treatment of diabetes and its related complications
Factors Determining Time Allocation of a Multiple-Choice Question Examination: The Students’ Perspective
Authors: Kreepala Chatchai , Thongsombat Srunwas , Wattanavaekin Krittanont , Danjittrong Taechasit , Keeratibharat Nattawut , Juntararuangtong Thitikorn 
Published: June 2023

AbstractIntroduction: The MCQ is one of the objective assessment methods. It is proper to evaluate the cognitive domain of learners with high objectivity. However, there are no definite criteria for determining the appropriate exam time. The ability to comprehend the meaning of a text, when reading, cannot be directly applied to reading for decision-making or answering questions. The authors were interested in exploring the aspects of the medical students’ perspective about the factors affecting their discission on MCQs answering. Materials and Methods The study was conducted at the Institute of Medicine, Suranaree University of Technology, Thailand. The authors utilized a mixed method that consisted of a quantitative approach and a sequential, explanatory approach. Survey research was used as the part quantitative technique meanwhile the semi-structured interview was used in qualitative data analysis for collecting the data. Results The questionnaire was done online by the participants from second to fifth-year medical students. It was found that there were 298 respondents. The qualitative analysis indicated that there were five domains, including the total word count of tests, non-native English examiners, test difficulty, images in tests, and atmosphere of the examination affecting the testing time. Conclusion This report indicated that the data acquired from comprehensive reading examination should be distinguished from decisive reading examination. Apart from the length of text, the question taxonomy such as recall or application as well as questions with given images and tables should be considered as factors determining time allocation of a MCQ examination.
Human Skeleton Action Recognition Based on Monocular Depth Estimation
Authors: Wang Lei , Zhang Jianwei , Gu Song , Yu Jing , Yang Wenbing 
Published: June 2023

Abstract
Human action recognition exhibits limited accuracy in video surveillance due to the 2D information captured with the monocular cameras. To address the problem, a monocular depth estimation (SARDE)-based human skeleton action recognition method is proposed in this study. The proposed method comprises two tasks, i.e., human skeleton action recognition and monocular depth estimation, with the aim of transforming 2D human action into 3D. The two tasks are integrated with multi-task manner in an end-to-end training to fully utilize the correlation between action 1 recognition and depth estimation by sharing learning data to learn the depth features of the human skeleton joints more effectively for human action recognition. In this study, the graph-structured depth estimations methods with inception blocks and skip connections are investigated. The experimental results verify the effectiveness and superiority of the proposed model in skeleton action recognition, the model reaches state-of-the-art on the datasets.
Clinically symptomatic cervical intramedullary intradural cavernoma with isolated intramedullary hemorrhage and Brown-Sequard Syndrome
Authors: Jauhari Muhammad Fauzan , Parenrengi Muhammad Arifin , Suryaningtyas Wihasto 
Published: June 2023

Abstract
Introduction
Spinal cavernomas (SC) are uncommon lesions with an overall incidence rate of 0.04–0.05% in the population. This vascular pathology accounts for 3–5% of all CNS lesions and accounts for approximately 15% of all spinal vascular malformations. SC is diagnosed based on the presence of neurological deficits and complaints from the patient. Clinical presentation depends on location. Early intervention could yield a better outcome.
Case Report
A female, 15 years old, came with complaints of pain in the back of the neck for 4 months before admission, the patient also felt weakness in the right limb for 2 months before admission. Patient wuth Brown Sequard syndrome involving the C1-C2 level, with a right hemiparesis and bowel and bladder incontinence. The patient had surgery because she was symptomatic.
Discussion
There are few indications for surgery in SC, but in general, surgery can be considered in patients with symptomatic lesion. One of the most commonly approaches is unilateral laminectomy, and this approach yields better outcomes when compared to laminoplasty or total laminectomy.
Conclusion
In our case, a 15-year-old female with an intramedullary mass in the cervical with clinical symptoms resembling Brown Sequard syndrome.The surgical results of treating this lesion were positive. This report highlights not only a unique case, but also the fact that in patients with progressive neurological decline, surgical intervention for spinal cavernomas can be performed safely and offers decompression, diagnosis, and prevention against further hemorrhage.
Externalization of an infected Vagus Nerve Stimulator generator without a break in anti- seizure therapy: A technical note
Authors: Karakas Cemal , Raichur Prachi , Mutchnick Ian 
Published: June 2023

Abstract
Vagus Nerve Stimulation (VNS) is a widely used treatment for drug-resistant epilepsy. An infection of the VNS generator pocket occurs in 3–8% of cases. Current standard of care requires the removal of the device, antibiotic therapy and then replacement of the device. The consequential break in VNS therapy leaves patients highly susceptible to seizures. Here, we report novel management of an infected VNS generator with externalization and short interval replacement of the entire system without any break in anti-seizure therapy. The patient is now seven months post-operative and without any evidence of infection.
Machine Learning For Food Security : Current Status, Challenges, and Future Perspectives
Authors: JARRAY Nouredine , Farah Imed Riadh 
Published: June 2023

Abstract
Graphical Abstract Abstract Recently, machine learning (ML) models have been widely applied to support food security using heterogeneous and complex data. Thus, several papers have been published in this context. The current manuscript exposes a systematic literature review to investigate various ML and Deep Learning (DL) models used in food security tasks (e.g. cropland mapping, crop type mapping, crop yield prediction and field delineation). This literature review identifies a clear end-to-end process of food security employing ML and DL models. Eventually, it summarizes the challenges of using ML and DL in food security analysis in complex and heterogeneous data, computational analysis, and evaluation challenges.
Activated metal Bi and La modified SAPO-34 molecular sieve and its photocatalytic degradation of formaldehyde in aqueous solution
Authors: Chen Wan-ping , Wang Run-quan , Zhang Yue-rong , Song Kai , Li Xin , Liu Yu-bing , Wei Yuan , Liu Rong-hui , Zhao Guang-hong , shi Gao-feng 
Published: June 2023

Abstract
As a new type of photocatalyst, molecular sieve photocatalysts have shown great promise in the degradation of organic matter in water bodies. In this paper, a new type of molecular sieve photocatalyst was successfully prepared by introducing Bi and La elements into the hydrothermal synthesis of SAPO-34 molecular sieve for the purpose of regulating the molecular sieve backbone. The introduction of active metals into the skeleton of molecular sieve can enrich the L acid sites on its surface, and at the same time, the introduction of active metals can accelerate the transfer rate of photogenerated carriers, which can also suppress the compounding rate of electron holes. It showed excellent performance in the photocatalytic degradation of formaldehyde, and the degradation rate constant k could reach 0.3222 min− 1 within 6 h. This study provides a new method for the preparation of molecular sieve photocatalysts and a new idea for the construction of bifunctional photocatalysts.
From the substance of electron to accurate dispersion formula
Authors: Tian Yunchuan 
Published: June 2023

Abstract
To investigate the distribution of electromagnetic potential, we conducted an experiment to measure the effect of the substance of an electron on the speed of light near a solid surface. Our findings show that the speed of light decreased as the distance to the solid surface decreased. To visually demonstrate these phenomena, we captured scientific images that, for the first time, depict the distribution of light speed between a single slit and the associated distribution of the substance of the electron behind it. Moreover, we developed a precise electron substance dispersion formula, which takes into account the motion of the substance along with the electron, allowing us to predict the refractive index with a level of accuracy that has not been previously achieved.
MLWs integrative operational matrix scheme for solving integro differential equations
Authors: Kumar Ankit 
Published: June 2023

Abstract
Proposed article deliver an integrative operational matrix scheme for solving integro differential equations (IDEs) that are predicated on modified Lucas wavelets (MLWs). In this scheme, we first create the MLWs integral operational matrix and then use the MLWs approximation scheme for transforming the integro differential equation (IDE) into well-famous algebraic equations system. Finally, we address some examples to show the impact and accuracy of the suggested scheme and the results are contrasted with current techniques or schemes, which illustrates that the suggested scheme is offers improved results with high effectiveness. Consequently, in the future, the modified Lucas wavelets-based scheme may be applied to solve other functional differential equations.
A study of clinico etiological profile of children with cerebral palsy in a tertiary care centre
Authors: Ravula Chaitanya Jyothi , Kankala Sirisha , Alladi Aparna , Thotada Prasanna Lakshmi , Kalivela Santhimayee 
Published: June 2023

The clinical spectrum of Cerebral palsy (CP) can differ in various places depending upon the knowledge of the people and resources for prevention, diagnosis and management. Although studied extensively in high-resource countries, adequate data related to CP from resource-constraint settings are lacking.
The aim: The present study is a descriptive study done on clinical profiles, aetiology, and comorbidities.
Materials and methods: Present study is a hospital-based descriptive study of 80 children with Cerebral Palsy from January 2020 to June 2021 (18 months) admitted to Niloufer Hospital for Child Health, cases chosen as per inclusion criteria guided by "The Definition and classification of cerebral palsy, April 2006 International consensus". Clinical history and clinical examination and necessary investigations using a systematically designed proforma
Results: The most common types were spastic type (78.9 %) and hypotonic type (12.5 %). Spastic quadriparesis (55 %) was the most common among subtypes. Males were more affected than females, with more rural than urban distribution. 48.8 % belonged to the lower middle and 37.5 % to the upper lower class of socio-economic status. Consanguinity was observed in 33 %, and 3 % had a similar family history. A high incidence (65 %) was seen in firstborn children. Term gestation was commonest at 87 % and prematurity at 13 %. 91.3 % of the cases were institutional deliveries. For causes of cerebral palsy, 45 % required resuscitation at birth, 2.5 % had neonatal sepsis, 1.25 % had a cerebral malformation, 7.5 % had an intracranial bleed, 7.5 % had post-meaning encephalitic sequelae, 1.3 % had TORCH infection. Comorbidities Like mental retardation were seen in 90 %, seizure disorder in 87.5 %, visual problems in 24.8 %, hearing problems in 13.75 %, 56.25 % of cases were malnourished.
Conclusions: Comorbidities are significantly observed in cases of cerebral palsy. Appropriate screening and management of comorbidities, especially vision, hearing, speech, seizures, and nutrition, improve the overall prognosis in cases of Cerebral palsy.
Ruminal fermentation profile, yield milk and chemic and microbiologic quality in dairy cattle feed with nitrogen enriches apple pomace
Authors: Muro Reyes Alberto , Gutiérrez Piña Francisco Javier , Rodríguez Muela Carlos , Amaya Guerra Carlos Abel , Gutiérrez Bañuelos Héctor , Díaz García Luis Humberto , Polín Raygoza Laura Alicia , Espinoza Canales Alejandro 
Published: June 2023

Solid-state fermented apple pomace (AP-SSF) enriched with non-nitrogen protein has been studied as an alternative ingredient for feeding dairy cattle. The present study aimed to evaluate the effect of the inclusion of AP-SSF in the feeding of dairy cows in early lactation on the yield and quality of milk, microbial contamination, and ruminal fermentation parameters, as well as the concentration of ammonia and the number of protozoa. Twenty Holstein cows were used, 20 of 660 kg on average, with 2-4 lactations and an average of 89 days in milk. Two groups were formed with ten cows each, randomly distributed to form a 2 x 2 Latin square with standard periods. Experiment diets were formulated with traditional ingredients, and one of them was added AP-SSF. Rations were gradually incorporated, giving ten days for adaptation and another 20 days for sampling. In lactose and production variables, no difference was statistically significant (P> 0.05) in milk fat and protein differences (P < 0.05) in the first component for the control treatment and the second toward treatment, as AP-SSF succeeded in increasing the percentage of milk fat. For Staphylococcus sp., Streptococcus sp. and Total coliform differences (P < 0.05) in favor of the treatment were achieved AP-SSF and decreased the CFU / mL for Salmonella sp. while there was no difference (P > 0.05). Volatile fatty acids showed statistical difference (P < 0.05) for Acetic, Propionic, and Butyric acids. AP-SSF treatment for the rest of the parameters ruminal pH, ammonia, and protozoa did not show any significant difference (P > 0.05) between treatments. Concluded that it is possible to incorporate AP-SSF as a protein ingredient in diets of dairy cows in early lactation because some variables improved and showed no adverse effects in any of the variables evaluated.
Research on water quality spatiotemporal forecasting model based on ST-BIGRU-SVR neural network
Authors: Gai Rongli , Yang Jiahui 
Published: June 2023

Abstract

With the serious deterioration of the water environment, accurate prediction of water quality changes has become a topic of increasing concern. To further improve the accuracy of water quality prediction and the stability and generalization ability of the model, we propose a new water quality spatiotemporal forecast model to predict future water quality. To capture the spatiotemporal characteristics of water quality pollution data, the three sites (station S1, station S2, station S4) with the highest temperature time series concentration correlation at the experimental sites were first extracted to predict the water temperature at station S1, and 17,380 records were collected at each monitoring station, and the spatiotemporal characteristics were extracted by BiGRU-SVR network model. This paper's prediction test is based on the actual water quality data of the Qinhuangdao sea area in Hebei province from 2 September to 26 September 2013 and compared with other baseline models. The experimental results show that the proposed model is better than other baseline models and effectively improves the accuracy of water quality prediction, and the mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) are 0.071, 0.076, and 0.957, respectively, which have good robustness.
Synthesis of Dendrimer Conjugates with Naproxen and their Anticancer Activity
Authors: Castillo-Rodríguez Irving Osiel , Ramírez-Ápan Teresa , Martínez-García Marcos 
Published: June 2023

Abstract:
Here we report the easy synthesis of dendrimer conjugates with four and eight
naproxen moieties at the periphery. The synthesis involved two steps protection-deprotection
sequence joined with triethylene glycol. A comparison was made between the cytotoxicity of
dendron-naproxen conjugates and that of G1.0 G2.0 dendrimer-naproxen conjugates. Cytotoxicity
studies showed that dendron conjugates were toxic towards all cancer cell lines studied,
and their toxicity was significantly lower than that of dendrimer conjugates. However,
dendrimer conjugates showed higher cytotoxicity and selectivity against K-562 and SKLU-
1 than dendron conjugates.