bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Evaluation of Behaviors of the Soft Sand ‘RHACLSMC’ under Temperature Variations and the Natural Environment Conditions
Authors: Doan Thy Truc
Published: December 2023

Numerical Simulation of the Composite Sand Ground ‘RHACLSMC’ Strains under the Groundwater level and Natural Condition variations measured behaviors of sand under displacement, and natural condition variation. The composite sand ‘RHACLSMC’ with material mixtures ‘rice husk ash’ of 4%; ‘lime’ of 8%; ‘sawdust’ of 8%; ‘mangrove charcoal’ of 4%; under Temperature Variations from 310C to 350C and the Natural Environment Conditions consideration. The research results show the decreasing of temperature and changing of the natural environment conditions (wind speed, air moisture, dew-point, cloud density, air quality, and other factors), which result in the decrease of sample volume, weight, water content, and sizes; whereas compared with the increasing of time. Moreover, the colors changed remarkably in the soft sand sample according to water content, temperature, weight, and time increase. On the other hand, the results of the Numerical simulation presented the Mobilized Shear Strength, total Volumetric Strains, and the veritcal displacement are small. So these relative research results contribute to the soft sand ‘RHACLSMC’ ground improvement technology with material mixtures for references for design, building, and construction in Geology engineering in the future.
In-Silico Discovery of Potential Dual Inhibitors Targeting Human Acetylcholinesterase and Butyrylcholinesterase for Alzheimer's Disease: A Pharmacophore-Based Virtual Screening and Molecular Docking Approach
Authors: Yadav Poonam , Jaiswal Shivani
Published: December 2023

The concomitant inactivation of both human acetylcholinesterase (hAChE) and butyrylcholinesterase (hBuChE) is a significant factor in the therapeutic approach to AD. The objective of this research is to use in silico methodologies namely, pharmacophore-based virtual screening and molecular docking to find potential dual inhibitors targeting both hAChE and hBuChE. Six features’ pharmacophores were developed using structure-based drug design for AChE and BuChE enzymes and developed pharmacophores were validated using the Gunery-Henery (GH) Scoring method. The GH scores were found in the acceptable range; 0.779 for AChE and 0.833 for BuChE-based pharmacophore. Further validated pharmacophores were used for exploring the ZINC database to retrieve the novel hits employing various parameters viz fit value, Lipinski rule of five violation, and feature mapping. After the virtual screening process, 11 molecules were retrieved which were further subjected to molecular docking to determine the binding interactions with the AChE and BuChE enzyme's active binding sites using the LibDock module in DS 2.0 software. Based on binding energy and binding interactions three molecules were selected for the molecular dynamic (MD) simulation and in-silico pharmacokinetics. Finally, MD simulation and in-silico pharmacokinetics analysis exhibited that ZINC000329492445, ZINC000001693021, and ZINC000257331938 molecules can be potential dual inhibitors against hAChE and hBuChE.
Investigating a novel feature of Multi-Phase Rotated Empirical Orthogonal Function to capture Spatiotemporal Temperature Variations
Authors: Mishra Kamana , Azad Sarita
Published: December 2023

Climate change has had a significant impact on the Northwest Himalayan (NWH) region, making it necessary to analyze its rapidly shifting space-time field using appropriate statistical methods. In order to represent systematic patterns and explain the localized characteristics of the region, we employ Rotated Empirical Orthogonal Functions (REOFs) on mean temperature data (1981-2021). The NWH region is divided into the snow and non-snow cover regions via REOF analysis, allowing for a more accurate representation of the data. In particular, the western parts of Uttarakhand (U.K.) and Himachal Pradesh (H.P.) showed significant fluctuations in the second REOF mode of mean temperature, which accounted for 38.7% of the entire variance. However, the principal component (PC) that was connected with it was unable to reflect the data pattern in these areas. Towards this, we have introduced Multi-phase REOF analysis for the first time to identify PCs that accurately represent the original data and provide insight into the specific temporal variations. We also investigated potential reasons for these variances in these specific NWH locations. Climate change modelling in the area can be enhanced by using the data's deduced physical properties and recognised temperature zones.
Copper oxide nanobiochar from spent coffee grounds for phosphate removal and its application as an antibacterial activity
Authors: Sisay Gamada Begna , Bezabeh Biruk , Getachew Eskedar
Published: December 2023

From the viewpoint of both eutrophication and sustainable use of phosphate, the removal and recovery of phosphate from wastewater are important. Adsorption is seen as a viable alternative for effective phosphate removal, even at low concentrations. It is very simple to operate and cheaper. Among the various adsorbents tested, biomass-derived nanomaterials, such as nanobiochar, have shown promising efficiency. However, the use of pristine biochar is often less effective and difficult to recycle. In the present study, copper oxide-modified nanobiochar from spent coffee grounds is presented as an effective phosphate adsorbent. The adsorbent was prepared by the acid digestion of spent coffee grounds, followed by the co-precipitation of copper metal. The developed adsorbent was characterized by BET, FTIR, and XRD. Batch mode adsorption studies were conducted to assess the adsorption efficiency of the developed adsorbent and to investigate the effect of pH, initial concentration, contact time and adsorbent dose. It was observed that acidic conditions favoured the adsorption of phosphate, with maximum adsorption efficiency (93%) at pH 3. The maximum equilibrium phosphate adsorption capacity in this study was 50.2 mg/g at 25 oC, pH 3, a phosphate concentration of 20 mg/L, and an adsorbent dose of 35 mg/mL. The batch experimental data fit the Freundlich isotherm with regression (R2 = 0.991), which signifies that the surface of the adsorbent is heterogeneous. Adsorption kinetic data were best fitted with the pseudo-second-order kinetic model (R2 = 0.996), indicating that the adsorption process was dominated by chemisorption. The copper oxide nanoparticles and Cu/NBC showed relatively higher zone inhibition in gram-positive bacteria than in gram-negative bacteria at similar concentrations. This might be due to the higher activity of the nanoparticle extract on gram-positive bacteria, as most nanoparticle extracts were more active in gram-positive bacteria. This difference may be explained by the difference in the structure of the cell wall in gram-positive bacteria, which consists of a single layer, and in gram-negative bacteria, which has a multi-layered structure and is quite complex. In the majority of test bacteria, Cu/NBC showed better activity. The higher activity of this nanomaterial might be associated with the number of bioactive metabolites and their synergetic activities.
The Current Situation and Influencing Factors of Adversity Quotient of Medical Undergraduates
Authors: Wang Xinglei , Zhou Yihan , Ma Li , Ma Ting , Wang Yingqiao , Liu Chaoqi , Wang Qian , Zhang Yamin , Dou Xinman
Published: December 2023

Aims: This study aims to investigate the current situation and related factors of adversity quotient of medical undergraduates.
Design: Cross sectional. All participants completed a questionnaire voluntarily and anonymously.
Methods: A cross-sectional design was adopted in this study, and medical undergraduates from a university in Lanzhou were selected as convenient samples (n=359). In addition to the socio-demographic questions, the Chinese version of Adversity Response Profile, Professional Identity Questionnaire, college student Professional Adaptability Scale and Coping Style Questionnaire were used to evaluate the characteristics of medical students.
Results: The average stress quotient score was 190.91 (SD: 19.74).Multiple linear regression analysis showed that gender (β= -0.119, P=0.015) and professional adaptability (β= 0.379, P＜0.001) were related factors of adversity quotient, which might explain 18.5% of the total variation (F = 12.591, P<0.001).
Conclusion: The adversity quotient level of medical undergraduates still has a large space for improvement.Gender and professional adaptability are related factors of adversity quotient.
Impact: Adversity quotient is an important ability for medical undergraduates to face setbacks and challenges. Therefore, it is necessary to develop targeted interventions to improve adversity quotient.
Prognostic Exploration of Metabolism-Related Genes in Hepatocellular Carcinoma and Pan-Cancer
Authors: Huang Tai , Liu Ge-Liang , Mo Zhuang , Wang Qi , Wang Can , Mu Jun-Fang , Yu Qi , He Pei-Feng
Published: December 2023

Background
The aim of this study is to delve into the potential value of metabolism-related genes in the prognosis assessment of cancer. By analyzing transcriptomics data and clinical information of various types of cancer from public databases, we screen out metabolism-related genes associated with prognosis and construct a prognostic model, offering new solutions for the prognosis assessment and personalized treatment of cancer patients.
Methods
Initially, we obtain metabolomics data and clinical information of various types of cancer from public databases (such as TCGA, GTEx, UCSC), including gene expression data, patient survival information, etc. Subsequently, we acquire a list of metabolism-related genes from the KEGG database and match it with the gene expression data in cancer samples to screen out differentially expressed metabolism-related genes. We then use univariate Cox regression analysis to analyze prognosis-related genes and employ LASSO and random survival forest algorithms for feature selection, choosing the most important metabolic features. Based on the selected metabolic features, we construct a prognostic model using various machine learning algorithms, including The NonLinear CoxPH, Extra Survival Trees, etc., and optimize the parameters. Finally, we apply the constructed pan-cancer prognostic model to datasets of other types of cancer for validation and performance evaluation.
Results
In HCC, we identified 407 differentially expressed genes related to metabolism. After Cox testing and prognosis-related analysis, we screened out 561 differentially expressed genes related to prognosis, and used random forest and LASSO regression algorithms to select the most important features, ultimately obtaining 7 metabolic features with significant predictive power. Subsequently, we reconstructed the random survival forest model based on these 7 metabolic features and verified the predictive performance of the model by drawing ROC curves (1–5 year AUC value > 0.89). The application results of the prognostic model in pan-cancer showed that it exhibited good predictive effects in 10 of the 33 types of cancer in the TCGA database (C-index > 0.75, IBS < 0.25), proving the potential value of metabolic features as prognostic markers in cancer.
Conclusion
This study constructs an effective pan-cancer prognostic model through comprehensive analysis of metabolomics data and clinical information in public databases, which can predict the prognosis of cancer patients. At the same time, we observed variations in several metabolic features among different types of cancer, offering new insights into predicting molecular subtypes and responses to diverse treatment plans. The findings from this study serve as a reference for individualized treatment decisions and precision medicine for cancer patients, while also contributing novel ideas and methods to advance the field of metabolomics.
The SARS-CoV-2 infection (COVID-19) era impact on incidence of sudden deaths due to Myocardial Infarction (Heart Attack) in States and Union Territories of India- A cross-sectional comparative study (2018-2022)
Authors: Kumar Piyush , Anupama Advocate
Published: December 2023

Despite modern cardiovascular drugs, latest advanced treatment protocols, several decades of research like longitudinal cohort study of Framingham (ongoing cardiovascular study of residents of the city of Framingham, Massachusetts), as well as various strategies to prevent and control mortality due to myocardial infarction (popularly known as Heart Attack), global improvement against cardiovascular disease (CVD) is flat-lining. COVID-19 affects the cardiovascular system leading to myocardial damage and dysfunction mainly via (ACE-2) the Angiotensin-converting enzyme 2 receptor. The cardiovascular complications of acute COVID-19 are well described in several research studies, but the post- COVID-19 cardiovascular manifestations particularly mortality due to myocardial infarction have not yet been comprehensively evaluated or characterized in research studies. This study aimed to assess the impact of COVID-19 on annual incidence (new cases number only) of mortality due to MI in different states and union territories (UT) of India. This study is cross-sectional, quantitative, and retrospective in nature. There is an overall increase of 11.02 percent in new MI cases related mortality during the COVID-19 period. This study revealed that there is 25.80 percent increase in total number of new MI cases related mortality in 2022 in comparison to pre-COVID-19 year of 2018. The Male-Sudden death due to Myocardial Infarction increased during COVID-19 year 2022 by 26.71 percent in comparison to 2018 pre- COVID-19 year. Percent wise top 3 states reporting sudden death due to MI in males include Maharashtra, Kerala and Gujarat. This study revealed that there is 26.71 percent increase in total number of new MI cases related mortality in males in 2022 in comparison to pre-COVID-19 year of 2018. There is an overall increase of 11.24 percent in new MI cases related mortality in males during the COVID-19 period of this study. The Sudden death due to Myocardial Infarction in female increased by 20.17 percent during COVID-19 year 2022 in comparison to 2018 pre- COVID-19 year.
Genomic Perspectives on Growth and Disease Resistance in Gilthead Sea Bream (Sparus aurata): A Comprehensive Exploration of Heritability Estimates and Genetic Correlations
Authors: Malik Zainab , Hashim Umer
Published: December 2023

The study investigates the genetic factors associated with lymphocystis disease virus (LCDV) susceptibility and growth in gilthead sea bream aquaculture, considering two fish batches (batch 1 and batch 2). All specimens exhibited LCDV lesions at the time of sampling. Batch 1 displayed higher lesion severity and affected surface area compared to batch 2. The caudal region was least affected in both batches. Batch 1 also had higher LCDV DNA copies in the liver, positively correlated with severity index. Heritabilities for weight, length, and viral DNA copies were determined, showing low heritability for viral DNA copies in both batches. Selective breeding for LCDV susceptibility and growth is feasible in sea bream juveniles, with genetic correlations indicating the possibility, though estimates vary with age. This information is valuable for designing selective breeding programs in sea bream.
The 2022 Performance Report of the Malaysian Journal of Medical Sciences
Authors:   Malaysian Journal of Medical Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia, Zulkapli Nour Azimah , Abdullah Jafri Malin ,   Malaysian Journal of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
Published: December 2023

This is an annual performance report of Malaysian Journal of Medical Sciences (MJMS) for the year 2022. This report presents data pertaining manuscript submissions to MJMS and its performances are presented in various form of views.
Validity and Reliability of the Malay Questionnaire for Olfactory Disorders
Authors:   Department of Otorhinolaryngology-Head and Neck Surgery, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Gima Erica , Sui Lin Carren Teh ,   Department of Otorhinolaryngology, Hospital Sungai Buloh, Selangor, Malaysia, Nik Hassan Nik Fariza Husna ,   Department of Otorhinolaryngology-Head and Neck Surgery, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Yaacob Najib Majdi ,   Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Md Shukri Norasnieda ,   Department of Otorhinolaryngology-Head and Neck Surgery, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
Published: December 2023

Background: Olfactory disorders (OD) are an umbrella term for a diverse group of smell problems. Numerous tests and questionnaires have been formulated to identify and test the severity of smell impairment, which is not readily available or translated for the Malaysian population. This study aimed to translate the Questionnaire for Olfactory Disorders (QOD) and validate and test the reliability of the Malay Questionnaire for Olfactory Disorders (mQOD). Methods: This cross-sectional study was conducted in two tertiary centres. A forward and backward translation was conducted for the QOD. The translated questionnaire was distributed to subjects with self-reported smell disorders on days 1 and 7. Internal consistency was analysed using Cronbach’s alpha and test-retest reliability was tested with an intraclass correlation coefficient. Confirmatory factor analysis was performed to test construct validity. Results: A total of 375 participants were recruited, 52 dropped out and 323 completed the questionnaire a second time. The Cronbach’s alpha coefficient was 0.537 for parosmia (P), 0.892 for life quality (LQ), 0.637 for sincerity (S) and 0.865 for visual analogue score (VAS). The intraclass correlation coefficient (ICC) for domain scores was > 0.9, while the ICC for all items was good to excellent. A three-factor model for mQOD showed an acceptable fit with indices chi-square value (CMIN)/degree of freedom (DF) = 3.332, Tucker-Lewis fit index (TLI) = 0.923, comparative fit index (CFI) = 0.939, root mean square error of approximation (RMSEA) = 0.079 and standardised root mean square residual (SRMR) = 0.0574. Conclusion: The mQOD is a valid and reliable tool for assessing OD in patients
A Serendipitous Outcome of COVID-19: Modifications to ICU Management
Authors:   Dow University of Health Sciences, Karachi, Pakistan, Murshad Syeda Warda , Khan Arsalan Aamir ,   Dow University of Health Sciences, Karachi, Pakistan, Rani Suraksha ,   Jinnah Medical and Dental College, Karachi, Pakistan, Kamran Muhammad ,   Dow University of Health Sciences, Karachi, Pakistan
Published: December 2023

Nosocomial infections are common in intensive care units (ICUs) and often cause increased morbidity and mortality rates in ICU patients. With the emergence of the highly infectious COVID-19, the high prevalence of hospital-acquired infections (HAIs) in ICU has caused much more concern because patients admitted to the ICU have a more severe and prolonged form of the disease. These patients are more likely to develop HAIs than non-ICU patients. Medical communities adopted several measures to make ICU management safer during the pandemic all over the world. In this study, we re-examined the challenges faced and the changes made in ICU management during the pandemic to speculate how these changes will be relevant post-pandemic and can be permanently incorporated into the ICU to improve safety, management, and critical care and make critical care better equipped for future disease breakouts.
Examination Approaches to Brachial Plexus Injury for Neurosurgical Residents
Authors:   Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Saleh Umaira ,   Department of Neurosurgery, Hospital Pulau Pinang, Pulau Pinang, Malaysia, Guan Yan Tan ,   Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Fuad Murni ,   Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Abdullah Jafri Malin ,   Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia,   Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Idris Zamzuri ,   Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia,   Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Ghani Abdul Rahman Izaini ,   Department of Neurosciences, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia,   Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia, Abdul Halim Sanihah ,   Brain and Behaviour Cluster, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia,   Unit of Neurology, Department of Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia
Published: December 2023

Background: Brachial plexus injury is a severe peripheral nerve injury that affects the upper extremities and causes functional damage and disability. A detailed and accurate clinical examination is required to accurately localise the site of injury. This video manuscript aims to provide guidelines for the structured assessment of a patient with brachial plexus injury, specifically tailored to Malaysian medical students and trainees. Methods: A video demonstrating the examination of the brachial plexus was made. This video, created at the School of Medical Sciences at Universiti Sains Malaysia (USM), demonstrates the proper examination technique for brachial plexus. Conclusion: We hope that this video will help students and young doctors evaluate patients with brachial plexus injury and reach accurate localisation of the injury.
Molybdenum isotopic fractionation in the Panzhihua mafic layered intrusion in the Emeishan large igneous province, southwest China
Authors: Zhang Le , Li Jie , Zhang Yan , Peng Bing-Yu , Wang Zhi-Bing , Ren Zhong-Yuan
Published: December 2023

The large Mo isotopic fractionations between different geological reservoirs make this isotopic system a potentially useful tool for constraining the origins of magmatism. However, the effect of magmatic differentiation on Mo isotopes is still controversial. In this study, we obtained Mo isotope data for the Panzhihua gabbroic intrusion (i.e., including mineral separates of clinopyroxene, plagioclase, magnetite, and ilmenite). The whole-rock samples and mineral separates exhibit large Mo isotopic fractionations with δ98/95Mo values as follows: magnetite (–0.73‰ to –0.32‰) < clinopyroxene (–0.32‰ to –0.10‰) < ilmenite (0.06‰ to 0.36‰) < plagioclase (0.33‰ to 0.83‰). Iron-Ti oxides have Mo contents that are one order of magnitude higher than those of clinopyroxene and plagioclase. Mass balance calculations based on Mo isotopes and contents are consistent with an accumulated origin for the Panzhihua intrusion. Rayleigh fractionation modeling shows that the removal of magnetite and ilmenite results in significant Mo isotopic fractionation in the residual magma. Due to the low Mo contents of clinopyroxene and plagioclase, Mo isotopes are not significantly fractionated by the removal of these minerals. Therefore, our study highlights that fractionation of Fe-Ti oxides can cause considerable Mo isotopic fractionation; consequently, caution is needed when using Mo isotopes to infer magma origins.
How Large Igneous Provinces Have Killed Most Life on Earth—Numerous Times
Authors: Grasby Stephen E. , Bond David P.G.
Published: December 2023

Evolution has not been a simple path. Since the first appearance of complex life, there have been several mass extinctions on Earth. This was exemplified by the most severe event during the Phanerozoic, the end-Permian mass extinction that occurred 252 million years ago and saw a loss of 90% and 70% of all marine and terrestrial species, respectively. Such mass extinctions have entirely reset ecosystems. Increasing evidence points to the massive eruption and crustal emplacement of magmas associated with large igneous provinces (LIPs) as key drivers of these events. Understanding how LIP events disrupted global biogeochemical cycles is of prime importance, especially as humans alter the atmosphere and biosphere today. We explore the cascading impacts of LIP events on global climate, oceans, and land—including runaway greenhouses, the release of toxic metals to the environment, the destruction of the ozone layer, and how global oceans are driven to anoxic and acidic states—all of which have parallels in the consequences of modern industrialisation.
Assessing the morphological changes on the operation performance of canal: a case study of the Suez Irrigation Canal, Egypt
Authors: Zayed Mahmoud , Abdelmoaty Mohamed S.
Published: December 2023

Morphological changes along the cross-section of canals affect the canal's performance to fulfill the desired operations. The Suez Irrigation Canal is a vital canal that provides the surrounding region with drinking water via about 21 drinking water treatment plants and serves about 140,000 feddan of irrigated land. However, the actual canal capacity is incapacitate to convey sufficient water for drinking and irrigation necessities. This research particularly evaluates the morphological changes in the Suez Canal's performance and increasing its ability to transport the required discharges with adequate operations. For this purpose, extensive field measurements and a numerical model (SOBEK 1D) were adapted to evaluate the canal capacity and operation under the required flow conditions. In total, 890 canal cross-sections were surveyed and 16-flow discharge measurements were considered to identify the actual geometric and hydraulic characteristics. The SOBEK 1D model was used to simulate different scenarios of canal cross-sections under changing flow conditions. The results showed that the actual canal mainly suffered from sedimentations that reduced the canal's capacity to transport the design flow discharges. In summary, rehabilitation of the canal is intensely recommended, in addition to the planned and sufficient clearance activatesof the canal to keep effective operations.
Tecendo a trama da história ensinada no município de Vitória-ES (1970-1990)
Authors: Bitte Regina Celi Frechiani , Santos Sônia Maria dos
Published: December 2023

Objetiva identificar os saberes docentes e tipologias de consciência histórica presentes nas narrativas construídas por professores de História, atuantes na Educação Básica tendo como referência a construção da epistemologia da prática profissional definida por Tardif (2000) como o estudo do conjunto dos saberes utilizados pelos profissionais em seu espaço de trabalho para desempenhar todas as suas tarefas. Fundamenta-se teoricamente nas concepções de saberes docentes de Tardif e Lessard (2012) e consciência histórica de Rüsen (2007). Respaldamo-nos no aporte teórico da História Cultural e na metodologia de pesquisa da História Oral em Bom Meihy (1996) e Alberti (2013) ao possibilitarem a elaboração de registros e documentar experiências, saberes e práticas de pessoas a respeito de suas vivências. Podemos inferir que, a maneira como trabalharam em sala de aula, criou-se a possibilidade de um ensino que visa a formar a consciência histórica para agir no mundo, para poder nele atuar e transformá-lo.
Panorama da produção científica em educação dos Programas de Pós-Graduação Stricto Sensu no estado do Pará, Amazônia, Brasil
Authors: Pantoja Gracilene Ferreira , Ramos João Batista Santiago , Cordeiro Yvens Ely Martins
Published: December 2023

No âmbito educacional, houve uma mudança no contexto da produção científica nos últimos anos, o que impulsiona a realização de pesquisas sobre as características e tendências, sobretudo, no âmbito das pós-graduações que desenvolvem inúmeras pesquisas como no estado do Pará, Região Norte. O objetivo foi analisar as produções científicas em Educação de 3 programas de pós-graduação stricto sensu em um viés de multidimensões entre 2005-2021. Optou-se pela abordagem mista e pesquisa documental. Como resultado, no âmbito das dimensões metodológicas houve uma tendência maior para a abordagem qualitativa e análise de conteúdo, com forte influência da pesquisa documental. Na dimensão sobre os locais de pesquisa, foram as escolas ou unidades escolares, seguido de cursos, em maior frequência na capital do estado - Belém e municípios vizinhos. No geral, as pesquisas apresentaram uma evolução significativa em comparação ao início de implantação dos programas, embora ainda se identifique lacunas e desafios a serem superados.
GDF-10 Induces an Inhibitory Effect on Epithelial-Mesenchymal Transition of
Laryngeal Cancer via LPR4
Authors: Kan Xuan , Ai Li , Guan Ruidi , Hao Jianwei , Sun Yanan , Xiu Wei
Published: December 2023

Background:

Growth differentiation factor-10 (GDF-10), a member of the TGF-β superfamily,
plays a crucial role in cell proliferation and differentiation. In some tumors, GDF-10 can act as a tumor suppressor
to inhibit tumor progression, but its role in posterior squamous cell carcinoma has not been reported
yet.

Methods:

The aim of this study was to investigate the effect of GDF-10 on the epithelial-mesenchymal transition
of laryngeal squamous cell carcinoma, and to provide new ideas for future targets in the treatment of laryngeal
squamous carcinoma.

Results:

The effect of GDF-10 on tumor growth was detected; bioinformatics analysis was performed to predict
the downstream targets of GDF-10, and RT-PCR and western blot were performed to detect the expression
levels of target genes and proteins, respectively.

Conclusion:

Our findings support that GDF-10 can inhibit the proliferation, migration, and invasion, and promote
apoptosis of laryngeal carcinoma AMC-HN-8 cells. GDF-10 inhibits the EMT of laryngeal carcinoma
through LRP4 and thus inhibits the progression of laryngeal carcinoma.
Pre-implantation Genetic Testing in Inherited Metabolic Diseases? Stateof-
the-art and current challenges
Authors: Capela Ana Miguel , Cunha Ana , Fortuna Ana Maria , Falcão Reis Cláudia
Published: December 2023

Introduction::

Inborn errors of metabolism (IEM) are genetic diseases involving congenital
disorders of enzyme activities. Most follow Mendelian autosomal recessive inheritance
and few follow mitochondrial inheritance. In many cases, after the birth of an affected child
parents discover that have been the carriers for the condition and worry about the risk of recurrence
in future offspring. Preimplantation genetic testing (PGT) can analyze embryos before
their transfer to the uterus and prevent the transmission of hereditary conditions to descendants,
however this procedure is of limited value in mtDNA conditions.

Methods::

The list of diseases currently approved for PGT were reviewed. The process for eligibility,
was as for the Comissão Nacional Procriação Medicamente Assistida (CNPMA), of
Portugal (PT). Review of international practices for Assisted Reproductive Techniques (ART)
in IEM was carried out.

Results::

As of 07.2022, 23 IEM diseases associated with deleterious variants in nDNA were
approved for PGT in PT. Couples at risk for conditions not included in the list can solicit an
evaluation from an expert committee, after a medical genetics consultation. To qualify for approval,
diseases must cause significant suffering and/or premature death. Due to a greater number
of solicitations many more IEM conditions have been approved for PGT across the world.
ART for mtDNA is not available in PT. International expert centers include PGT for specific
well documented variants and mitochondrial donation.

Conclusion::

PGT is a reliable approach to reduce the risk of transmission of a genetic condition
to the offspring. The list of IEM disorders currently accepted for this technique in Portugal are
small, but it is expanding, as many more diseases fit the necessary criteria. While appealing in
theory, low success rates coupled with limited availability can be discouraging for patients. Genetic
counselling is of paramount importance after the diagnosis of IEM diseases. It is important
for both clinicians and patients to be made aware of the available reproductive options and their
limitations.
Relationship between Illness Perception and Perceived Social Support and Satisfaction with Nursing Care Quality among Patients with Coronary Heart Disease in Jordan
Authors: Al-Zaru Ibtisam Moawiah , Al-Dwairi Hussein Rayid
Published: December 2023

Background:

Research has shown that illness perception, perceived social support, and patient satisfaction play a crucial role in the etiology and progression of disease and general health outcome but no previous study correlated the illness perception and perceived social support to patient satisfaction of nursing care. The purpose of this study is to determine the relationship between illness perception and perceived social support, patient satisfaction with quality of nursing care among coronary heart disease patients in Jordan.

Methods:

A descriptive, cross-sectional, and correlational design was used. A convenience sample of 275 patients with coronary heart disease was recruited from inpatient cardiac units in a university-affiliated hospital in Northern Jordan.

Results:

The overall means of illness perception and perceived social support were at a moderate level (44.04 (SD = 11.52), and 56.91 (SD = 19.91), respectively). The study revealed good to very good patient satisfaction with nursing care (3.44/5 (SD =.74)). Patient satisfaction was negatively correlated with illness perception and positively correlated with perceived social support. Illness perception was negatively correlated with perceived social support. Furthermore, the results from multiple linear regression analyses revealed that personal and health-related characteristics, illness perception, and perceived social support account for 64% of the variance in Patient Satisfaction with Nursing Care Quality (p-value < .05).

Conclusion:

The present study suggested that perceived social support is a significant predictor of patient satisfaction with nursing care. To improve patient outcomes, nurses should continuously assess the level of illness perception, social support, and satisfaction with nursing care quality for patients with coronary heart disease and offer an intervention based on these perceptions.
Profile of Preeclampsia Patients with Aggravating Factors: A Retrospective Study
Authors: Adjie J.M. Seno , Angkawijaya Cindy
Published: December 2023

Introduction:

Preeclampsia contributes to 9-26% of maternal deaths in developing countries.

Methods:

This study was conducted to present the profile of preeclampsia patients with aggravating factors. A retrospective study was performed on preeclampsia patients admitted to the Obstetrics and Gynecology Department of Cipto Mangunkusumo Hospital from January to June 2021. A total of 109 participants who met the specified criteria were included in this study. The prevalence of pre-eclampsia was 12.9%. The common aggravating factors were multiple pregnancies (10.1%), chronic hypertension (5.5%), and diabetes (5.5%). Two subjects (1.8%) had eclampsia, and 13 (11.9%) were diagnosed with HELLP syndrome.

Results:

Most subjects gave birth via caesarean section (79.8%). More than 50% gave birth at 35 years of age, nullipara, with a Body Mass Index (BMI) > 30 kg/m2, multiple pregnancies, chronic hypertension, and type 2 diabetes mellitus.

Conclusion:

Outcomes of studies that have been conducted include survival, complications, eclampsia, HELLP syndrome, caesarean delivery, delivery at < 34 weeks GA, and prolonged hospitalization.

Impact Statement

• What is already known about this topic?

• What did the results of this study add?

• What are the implications of these findings for clinical practice and further research?
Preparation of Carbon Nanotubes-Supported CuMn2O4
Nanocomposites for Highly Efficient Degradation of Methylene
Blue Dye
Authors: Chen Xuyi , Chen Tianlu , Fathy Nady , Tao Yousheng
Published: December 2023

Background:

Waste water containing dyes causes serious environmental problems in
both aesthetic and toxicological aspects. Although physicochemical and biological treatment
processes have been investigated, functional materials are highly demanded for improving the
removal efficiency of dye from wastewater

Objective:

To synthesize a heterojunction nanocomposite of CuMn2O4/carbon nanotubes
(CNTs) with outstanding catalytic performance for the effective degradation of methylene blue
(MB) dye.

Methods:

Copper manganese oxide-carbon nanotubes (CuMn2O4/CNTs) nanocomposite was
prepared by a solvothermal method. The structure and morphology of the samples were characterized
with X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), transmission
electron microscopic (TEM), and nitrogen adsorption/desorption on the samples at 77 K. The
degradation of methylene blue dye was studied using the prepared nanocomposite as a catalyst.

Results:

CuMn2O4 of small particles was loaded on CNTs, forming a porous structure with a
specific surface area of 43.5 m2/g and a total pore volume of 0.17 cm3/g. The optimum conditions
for achieving full breakdown in 10 minutes are 1g/L of catalyst dosage and a range of initial
concentrations at 50-100 mg/L of MB dye at pH 4.

Conclusion:

The synthesized CuMn2O4/CNTs nanocomposite exhibited a good prospect as catalyst
materials for the decontamination of wastewater polluted with dyes.
History Teaching In A Museological Space
Authors: Rosa Stelmach Yuri Leonardo
Published: December 2023

This paper aims to discuss issues concerning the teaching of History in museological spaces, based on the narrative of an experience at the Rio Grande do Sul Memorial, a place that generated the teaching-learning process of students who visited this space. We start from the narrative of the mediated educational action on the itinerant exhibition “Monuments and art: the history of the city at risk”, which exposed a series of monuments and public statues taken from the streets of Porto Alegre. By means of these pieces, the mediation sought to reflect on the silenced stories behind those sculptures, aiming to perceive other actors and groups silenced by the patrimonialization process. From a theoretical point of view, it drew on Vygotsky (2010) and Bakhtin (1992), with regard to interactive mediation; Siman (2013), with regard to teaching History through reading the city; and Ramos (2016), on the concept of generator object. Finally, it is believed that the students took possession of plural historical narratives about the city, through the narratives exposed and silenced by the urban historical heritage.
Tackling Demotivation in STEM Fields: A Student’s Perspective
Authors: Pandrangi Kavya
Published: December 2023

The fields of STEM/STEAM are ones in which curiosity and creativity meet a very high level of rigor. When navigating such a field, staying motivated and maintaining belief in oneself and one’s intelligence can prove difficult. Self-doubt and discouragement quickly creep in for many students, as they did for me at times. In this piece, I give an account of my STEM journey, from high school chemistry to science fairs, the challenges and disheartening moments that I faced, and the growth and inspiration that came out of them that I take with me as I begin to pursue a career in STEM.
Contrariety and Complementarity: Reading Spinoza’s Intersubjective Holism of Ideas with Aristotle’s Two Accounts of Motion
Authors: Buhr Lorina
Published: December 2023

Do minds and ideas connect, interact, or even depend on each other, and if so, how exactly do they connect and interact? How to conceive of the mode and process of minds and ideas being in a network and connected in some way, that is, being intersubjective or social? Martin Lenz’s study Socializing Minds (2022) convincingly shows that, contrary to widespread opinion in philosophy of mind, at least some early modern philosophers, here Spinoza, Locke, and Hume, actually give a positive answer to the first question and present models that respond to the second question, thus, addressing what Lenz proposes to call ‘the contact problem’ and repudiating the idea that mentalism is necessarily bound to individualism. In this comment, I focus on a detail in Lenz’s reconstruction of Spinoza’s ‘metaphysical model’ of intersubjectivity of minds, namely the Aristotelian physical dynamism that would underlie Spinoza’s idea of the interaction of minds. While I agree that Spinoza’s model of the interaction of minds refers to the Aristotelian conception of motion, I argue that the guiding principle in natural motion is best understood not only in terms of contrariety but also in terms of complementarity. A closer reading of Aristotle’s theory of motion (kinēsis, metabolē) identifies two approaches to natural motion, one based on contrary principles, the other on complementary principles or powers (dynameis; potentiae). I suggest conceiving them as two sources for modelling natural motion and thus as two resources for a kinetic modelling of intersubjectivity and sociality. Admittedly, my proposal goes beyond Spinoza’s model of ideas in contact, and probably beyond Lenz's interpretation of that model, but it might enrich the imagination of the socialising of minds and ideas from a kinetic point of view, which, at least as I understand it, is precisely what Spinoza and Lenz thrive on.
Identificación y priorización de servicios ecosistémicos derivados del sistema lacustre de Xochimilco
Authors: Trujillo Moreno Everardo , López Santiago Marco Andrés , Valdivia Alcalá Ramón , Romo Lozano José Luis
Published: December 2023

La asignación de servicios ecosistémicos ha resultado un reto para el mercado, dado su comportamiento como bienes públicos. El área natural protegida “Ejidos de Xochimilco y San Gregorio Atlapulco” alberga una superficie chinampera que provee de sustento y servicios ecosistémicos a los habitantes de la Ciudad de México. Esta investigación tuvo por objetivo identificar y priorizar los servicios ecosistémicos en función de la jerarquización de cuatro grupos de usuarios para determinar posibles patrones o diferencias. Se aplicó una encuesta con 17 servicios ecosistémicos a 380 usuarios donde se les pidió seleccionar tres en orden de prioridad. Por promedios ponderados se estimó el nivel de importancia asignado a cada servicio, y se emplearon pruebas no paramétricas de Kruskal-Wallis y Games-Howell para determinar las diferencias entre grupos. Los servicios producción de alimentos, almacenamiento y retención de agua, así como los servicios culturales fueron seleccionados como los más importantes. Los dos primeros son los que obtuvieron un valor ponderado más alto. La diferencia de medias demostró que existen diferencias entre los grupos y el análisis pos-hoc reveló que el grupo de los productores es el que presenta mayores contrastes con respecto al resto de grupos, principalmente en cuanto a servicios de aprovisionamiento, ello denota el valor que la población regional otorga a la agricultura. De esta manera, las autoridades deben de tomar en cuenta la participación de los productores chinamperos en el diseño de políticas públicas y manejo de recursos naturales locales.
Young people with AOD issues and at least one other comorbidity or complex health issue and health service use: A brief literature review 2016–2021
Authors: McManus Alexandra , McManus Jennifer
Published: December 2023

This rapid literature review summarises evidence around best practice in the management of young people who present at health services with alcohol and other drugs (AOD) issues plus at least one comorbidity or chronic health need. The findings were used to develop and trial Formalised Case Management Guidelines that promote continuity of care for vulnerable youth accessing Primary Health Care services.
Machine Learning and Symptom Patterns in Degenerative Cervical Myelopathy: Web-Based Survey Study
Authors: Touzet Alvaro Yanez , Rujeedawa Tanzil , Munro Colin , Margetis Konstantinos , Davies Benjamin M
Published: December 2023

Background

Degenerative cervical myelopathy (DCM), a progressive spinal cord injury caused by spinal cord compression from degenerative pathology, often presents with neck pain, sensorimotor dysfunction in the upper or lower limbs, gait disturbance, and bladder or bowel dysfunction. Its symptomatology is very heterogeneous, making early detection as well as the measurement or understanding of the underlying factors and their consequences challenging. Increasingly, evidence suggests that DCM may consist of subgroups of the disease, which are yet to be defined.

Objective

This study aimed to explore whether machine learning can identify clinically meaningful groups of patients based solely on clinical features.

Methods

A survey was conducted wherein participants were asked to specify the clinical features they had experienced, their principal presenting complaint, and time to diagnosis as well as demographic information, including disease severity, age, and sex. K-means clustering was used to divide respondents into clusters according to their clinical features using the Euclidean distance measure and the Hartigan-Wong algorithm. The clinical significance of groups was subsequently explored by comparing their time to presentation, time with disease severity, and other demographics.

Results

After a review of both ancillary and cluster data, it was determined by consensus that the optimal number of DCM response groups was 3. In Cluster 1, there were 40 respondents, and the ratio of male to female participants was 13:21. In Cluster 2, there were 92 respondents, with a male to female participant ratio of 27:65. Cluster 3 had 57 respondents, with a male to female participant ratio of 9:48. A total of 6 people did not report biological sex in Cluster 1. The mean age in this Cluster was 56.2 (SD 10.5) years; in Cluster 2, it was 54.7 (SD 9.63) years; and in Cluster 3, it was 51.8 (SD 8.4) years. Patients across clusters significantly differed in the total number of clinical features reported, with more clinical features in Cluster 3 and the least clinical features in Cluster 1 (Kruskal-Wallis rank sum test: χ22=159.46; P<.001). There was no relationship between the pattern of clinical features and severity. There were also no differences between clusters regarding time since diagnosis and time with DCM.

Conclusions

Using machine learning and patient-reported experience, 3 groups of patients with DCM were defined, which were different in the number of clinical features but not in the severity of DCM or time with DCM. Although a clearer biological basis for the clusters may have been missed, the findings are consistent with the emerging observation that DCM is a heterogeneous disease, difficult to diagnose or stratify. There is a place for machine learning methods to efficiently assist with pattern recognition. However, the challenge lies in creating quality data sets necessary to derive benefit from such approaches.