Miracle-dz/UniFAR-FTUs huggingface dataset:
Potential Blood Biomarkers for Diagnosing Periprosthetic Joint Infection: A Single-Center, Retrospective Study

Background: Blood biomarkers are first-line tools for identifying periprosthetic joint infection (PJI). C-reactive protein (CRP) is currently recognized as the standard biomarker for PJI diagnosis. Other recently reported novel biomarkers, including plasma fibrinogen, platelet count, monocyte/lymphocyte ratio (MLR), neutrophil/lymphocyte ratio (NLR), and platelet count/lymphocyte ratio (PLR), have also shown promise in diagnosing PJI. This study aimed to evaluate whether these biomarkers were superior to CRP for identifying PJI. Methods: Patients who underwent revision hip or knee arthroplasty at our hospital from January 2008 to September 2020 were included consecutively and divided into infected and non-infected groups according to the 2013 International Consensus Meeting Criteria. Blood samples were collected preoperatively, and erythrocyte sedimentation rate (ESR), CRP, interleukin-6, fibrinogen, platelet count, MLR, NLR, and PLR were analyzed. The diagnostic values of the tested biomarkers and their combinations were compared with CRP based on the area under the receiver operating characteristic curve (AUC) using the z-test. Classification trees were constructed to explore more accurate combinations of the tested markers for identifying PJI. Results: A total of 543 patients were included, of whom 245 had PJI. Among the tested biomarkers, CRP with a cutoff of 7.39 mg/L showed the highest AUC, which gave a sensitivity of 79.1% and specificity of 86.0%. The AUCs of pairwise combinations of tested markers including CRP also were inferior to CRP itself, as were combinations derived from classification trees. Conclusions: Preoperative serum CRP with a low cutoff may be the best reliable blood biomarker for identifying PJI, and those traditional or novel available blood biomarkers could not further improve the diagnostic ability on the basis of CRP.
Self-Harm, Suicidal Ideation and Attempts among School-Attending Adolescents in Bamako, Mali

Suicide and self-harm are major public health concerns for adolescents globally, but there is a dearth of related research in West Africa. This study aims to examine the prevalence and associated factors for self-harm, suicidal ideation and suicide attempts among adolescents in the West African country of Mali. A questionnaire survey was conducted among adolescents attending school or university in August 2019 in Bamako, the capital of Mali. Logistical constraints necessitated convenience sampling. Outcome measures were self-harm and suicide ideation and attempts. Predictor variables included sociodemographic characteristics, bullying and mental health problems. There were 606 respondents who completed questionnaires; their mean age was 16.1 (SD = 2.4); 318 (52.5%) were identified as male; and 44.4% reported self-harm at some point in their life, with 21% reporting suicide ideation and 9.7% actual suicide attempts. For all three outcomes, older age, knowing somebody personally who had experienced self-harm or taken their own life, moderate to severe depression or anxiety, and being a victim of bullying were highly significant risk factors for self-harm, suicidal ideation and suicide attempts in these adolescents, while high self-esteem decreased the risk. The study suggests that self-harm and suicidal behaviour are relatively common in Malian adolescents who are still in education. However, much more research is needed to better understand this phenomenon.
Identification of Key Genes and Potential Mechanisms Based on the Autophagy Regulatory Network in Osteoclasts Using a Murine Osteoarthritis Model

Background Osteoarthritis (OA) is a degenerative joint disease that acts as a major cause of early disability in the old population. However, the molecular mechanisms of autophagy in osteoclasts involved in OA remain unclear. Methods The gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) repository. The NCBI GEO2R and ScanGEO analysis tool were used to identify differentially expressed genes (DEGs). The protein-protein interaction (PPI) network was predicted by the STRING website and visualized with Cytoscape software. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were performed to enrich GO terms and signaling pathways using Metascape database. To predict LC3-interacting region (LIR) motif among these DEGs, the iLIR database was selected to assess specific short linear sequences. To obtain potential upstream miRNA targets of these DEGs, the mRNA-miRNA interaction networks were predicted by miRWalk database. The knee OA model was performed in mice, and autophagy related mRNAs of osteoclasts were identified. Experimental specimens were further verified with histopathological staining. Results Becn1, Atg3, Atg12, Pik3c3, and Gabarapl2 were obtained as coexpressed differential genes. PPI network was constructed and deduced the other 60 related genes. GO and KEGG enrichment networks indicated that autophagy-animal, selective autophagy, and mitophagy mainly participated in autophagy regulation in osteoclasts. The possible LIR sequences were collected to predict motifs. The mRNA–miRNA interaction networks suggested that many miRNAs could regulate autophagy-related genes individually and collectively. The RT–PCR results suggested that these five genes were upregulated in the OA group. Histopathological staining revealed that osteoclasts were increased in subchondral bone, and higher expression of these DEGs in the OA group was compared to the sham group. Conclusion Our results reveal that the role of autophagy in osteoclasts could be a regulatory mechanism in OA and that these autophagy-related genes might be targets for the intervention of OA disease.
The optical properties and in-situ observational evidence for the formation of brown carbon in clouds

Atmospheric brown carbon (BrC) makes a substantial contribution to aerosol light absorption and thus global radiative forcing. Although BrC may change the lifetime of the clouds and ultimately affect precipitation, little is known regarding the optical properties and formation of BrC in the clouds. In the present study, the light-absorption properties of cloud droplet residual (cloud RES) were measured by coupled a ground-based counterﬂow virtual impactor (GCVI) and an optical properties of BrC in both cloud-processed cloud-free particles
New insights into the cranial osteology of the Early Cretaceous paracryptodiran turtle Lakotemys australodakotensis

Lakotemys australodakotensis is an Early Cretaceous paracryptodire known from two shells and a skull from the Lakota Formation of South Dakota, USA. Along with the Early Cretaceous Arundelemys dardeni and the poorly known Trinitichelys hiatti, Lakotemys australodakotensis is generally retrieved as an early branching baenid, but more insights into the cranial anatomy of these taxa is needed to obtain a better understanding of paracryptodiran diversity and evolution. Here, we describe the skull of Lakotemys australodakotensis using micro-computed tomography to provide the anatomical basis for future phylogenetic analyses that will be needed to investigate more precisely the intrarelationships of Paracryptodira. Preliminary comparisons reveal that the cranial anatomy of Lakotemys australodakotensis is very similar to that of the Aptian-Albian basal baenid Arundelemys dardeni, that both taxa exhibit a remarkable combination of derived characters found in baenodds and characters found in non-baenid paracryptodires, particularly Pleurosternidae, and that Lakotemys australodakotensis is the only known baenid to date to possess a canal for the palatine artery.
SWOT Analysis in Thirukkural: Comparative Analysis with Humphrey SWOT Matrix

Modern SWOT analysis was explained first (not originated) by Albert Humphrey in the 1960 and 70s using data from Fortune 500 companies, when he led a convention at the Stanford Research Institute. Thirukkural SWOT model is an ancient model developed on the basis of observations of the composer almost 2000 years ago. Thirukkural , the pancham veda (Fifth sacred book) of Tamilians is being looked at as a management handbook in this study. It has been analysed whether the book gives us an exact model of SWOT (Analysis of Strengths, Weaknesses, Opportunities and Threats) analysis for an entrepreneur. The observations and readings lead to a more detailed SWOT model in Thirukkural. There are terms which are explained through a set of many verses. For example opportunity scanning has been explained in the chapter 49. The model is rediscovered in the chapters 47,48 and 49. The researcher has compiled the verses at one place in this paper to visualize a complete SWOT model which can act as a guiding path for an entrepreneur. In depth study of Thirukkural has made it possible. Further , usage of this model in modern businesses and new ventures has been discussed . Such studies may prove useful in handing over the knowledge of our ancestors to the future generations and make use of it in their business ventures.This way we can prove that western world is not the only promoter of management theories.India has also contributed in giving us prosperous and sophisticated economies. Gita,Tirukkural, Ramayana and Mahabharata are the eloquent testimonies of this statement. The research paper is just a step towards this goal. To quote Wikipedia would be appropriate here ,"Humphrey himself does not claim the creation of SWOT, and the origin remains obscure. "Isn't there a possibility that he came across this great book (Translated in English) and discovered SWOT model, then it was translated by him into SWOT matrix for the use of modern entrepreneurs.
Chip-Scaled Ka-Band Photonic Linearly Chirped Microwave Waveform Generator

Synthetic aperture radar (SAR) systems employ a Linearly Chirped Microwave Waveform Generator (LCMWG) with large time–bandwidth product (TBWP), to provide a wide range resolution. Photonics has now been recognized as a disruptive approach to achieve high performance at bandwidth of few tens of gigahertz, with light and compact architectures, due to the typical photonics benefits, such as electromagnetic interference immunity, small power consumption, small footprint, and high immunity to vibration/shock and radiation. In this article, we report on the photonic generation of a high-frequency LCMW, with a large TBWP (102–103), using a chip-scaled architecture, based on a frequency-tunable optoelectronic oscillator (OEO) and a recirculating phase modulation loop (RPML). A new configuration of the OEO employing an ultrahigh Q-factor resonator has been conceived to allow the oscillator working in Ka band at 40 GHz or even more, with very low phase noise. Key building block of the RPML is a phase modulator driven by an engineered parabolic split waveform. The ultra-large pulse compression rate (PCR) >> 102, together with large signal purity, was also obtained, making the proposed architecture particularly suitable for SAR systems with large range resolution demand, such as Earth surveillance and monitoring.
Primary Adrenal Insufficiency in a Boy with Type I Diabetes: The Importance of Considering X-linked Adrenoleukodystrophy

Abstract Primary adrenal insufficiency (PAI) is often the first clinical sign of X-linked adrenoleukodystrophy (X-ALD), a rare genetic disorder that can present with various clinical phenotypes. A subset of boys with X-ALD develop cerebral ALD (cALD), characterized by progressive central demyelination, neurocognitive decline, and ultimately death. Timely intervention with hematopoietic cell transplant (HCT) can be a life-saving therapy by stopping progression of cerebral disease. We report the case of an 11-year-old boy with type 1 diabetes mellitus who presented with PAI, growth delay, and symptoms of attention deficit hyperactivity disorder. Given his history of T1DM, his PAI was presumed to be autoimmune and he was started on hydrocortisone and fludrocortisone. Eleven months later brain magnetic resonance imaging revealed white matter hyperintensity consistent with advanced cALD. The degree of disease progression at the time of diagnosis rendered the patient ineligible for transplant and he has continued to experience progressive neurologic decline. Initial symptoms of cALD are often subtle but should not be overlooked, as early identification of X-ALD is critical to allow early intervention with lifesaving HCT. PAI typically presents prior to the onset of neurologic symptoms. All boys who present with PAI should undergo workup for X-ALD with plasma very long chain fatty acid testing, even in the setting of underlying autoimmune disease.
An Observational Study on the Management of COVID-19 Patients in Limited-Resource Hospitals

: Background: The purpose of this study was to evaluate the effectiveness of limited-resource hospitals in managing mild and moderate hospitalized cases of COVID-19 with comorbidities and in preventing their progression to severe illness. Methods: Data were obtained from 88 moderate COVID-19 patients with comorbidities who were admitted to limited-resource hospitals. The data were classified into several parts: comorbidities, chronic medication before hospital admission, symptoms of COVID-19 before and during hospitalization, clinical features, laboratory findings on hospital admission, complications during hospitalization, as well as worst laboratory values during hospitalization, hospital stay, and outcomes. The clinical features, laboratory results, type of oxygen therapy used, and the final treatment outcome were all evaluated to assess for any potential relationship. Results: All patients were alive upon discharge. Before admission, the majority of patients (60.2%) received COVID-19 treatment, and the average hospital stay was 12 days. The most common symptoms were fever (88.7%), cough (95.5%), shortness of breath (90.9%), myalgia (84.1%), confusion (63.6%), headache (62.5%), sore throat (88.7%), rhinorrhea (17%), chest pain (58%), diarrhea (19.3%), nausea and vomiting (38.6%), anosmia (62.5%), as well as dysgeusia (64.8%). Based on chest radiograph or computed tomography (CT) scan, 9.1% of the patients had unilateral pneumonia, 90.9% had bilateral pneumonia, and 96.6% had multiple mottling and ground-glass opacity. Age was found associated with a significant increase in headache ( p = 0.005), rhinorrhea ( p = 0.013), chest pain ( p = 0.007), and the need for positive airway pressure ( p = 0.008). Between pre- and post-hospital admissions, there was a significant increase in lactate dehydrogenase and ferritin but a decrease in platelet, D-dimer, hemoglobin, lymphocytes, neutrophils, and total leucocyte count ( p < 0.001). There was a significant association between hospital stay and D-dimer level ( p = 0.05). Conclusion: comorbidities. Many of these cases did not escalate to severe illness and were all alive upon discharge. Early management of COVID-19 tends to delay the disease progression to severe illness and improves patients’ chances of survival. Treating COVID-19 or using oxygen therapy at home can also delay the need for hospitalization in mild or moderate cases. article Issue: All about Pharmaceutical Drug Interventions, From Inventing the Drug to its Therapeutic Effect on Patient Health)
Prediction of Third Covid Wave in India using ARIMA Model

Whole world has been battling against the novel Covid19 pandemic that outbroke from Wuhan, China during Dec 2019. Like most other countries, India has also witnessed two Covid-19 waves with second one, during April-May 2021, being more lethal. Important lessons learnt while fighting against Covid pandemic demands never relax attitude until the fight against the pandemic is completely over. To achieve this India launched world’s biggest vaccination program. Continuous concerns are being expressed by different sections of health workers and the government regarding probable, and even more lethal, third wave in near future. Hence this work is undertaken to predict the possibility of third wave. Predictive analysis is based on progression of Covid-19 in the country thus far. Any such prediction shall offer multifaceted benefits in raising timely alarm for country to prepare itself and take measures to tap the onset of probable third wave. ARIMA model was selected for making prediction. Datasets provided by [1],[2] are utilized for the purpose. The model predicted that the latest spurt in Covid19 cases is expected to continue and grow over the remaining part of current year. This spurt can in certain probabilities lead to third Covid-19 wave around the months of Nov-Dec 2021. These predictions are though limited by the recent seroprevalence findings by ICMR and humongous vaccination drive that may retard the onset of third wave. Moreover, confined nature of recent spike (to southern Indian states, mainly Kerala) may mean that the geographical extent of current spurt is comparatively small to become a countywide wave. ARIMA Model, Third Wave, Seroprevalence, Vaccination.
Segregating Suspected Child Maltreatment from Non-Child Maltreatment Injuries: A Population-Based Case-Control Study in Taiwan

Objective: To identify the differential patient characteristics, injury types, and treatment outcomes between hospitalized child abuse and non-child abuse injuries in Taiwan. Methods: Using the data from the National Health Insurance Research Database, we selected a total of 1525 patients under the age of 18 that were diagnosed with child abuse, as well as an additional 6100 patients as a comparison group. Chi-square test, Fisher exact test, and independent samples t-test were used to compare the differences between the abused children and the non-abuse-related injured children. The multivariate conditional logistic regression was performed to measure the risk factor of child maltreatment in injured children. Results: Intracranial injury was more frequent in the child abuse group than it was in the non-child abuse group (35.0% vs. 8.2%; p < 0.001). Children in the child abuse group tended to stay longer in the hospital and incur higher medical expenses (8.91 days vs. 4.41 days and USD 2564 vs. USD 880, respectively). In multivariate analysis, the Adjusted Odds Ratio (Adjusted OR) of abuse resulting in an injury for children in low-income families is 1.965 times higher than those in non-low-income families (p < 0.001). Children living in high urbanization areas had a significantly higher probability of being abused than those living in low urbanization areas (p < 0.001). Conclusion: Children under the age of 1 who were hospitalized with severe intracranial injuries are highly at risk for child maltreatment. Moreover, numerous high-risk environmental factors were observed in child abuse cases, including living in urban areas, families with low income, and seasonality, as child maltreatment cases occur more frequently in autumn.
Complete data acquisition and analysis system for low-energy electron–molecule collision studies

A complete data acquisition system has been developed that can work with any personal computer irrespective of the operating system installed on it. The software can be used in low and intermediate electron-energy collision studies with ground-state molecules in gas phase using a combination of RS-232, GPIB, and USB-interfaced devices. Various tabletop instruments and nuclear instrumentation module (NIM) -based electronics have been interfaced and have communicated with the software, which is based on LabVIEW. This is tested with dissociative electron attachment (DEA) and polar dissociation studies to oxygen molecule and successfully used in a DEA study of carbon monoxide and carbon dioxide.
Fen Bilgisi Öğretmen Özelliklerinin Öğrenci Fen Başarisi İle İlişkisi: TIMSS 2011 Verilerine Göre Bir Durum Analizi* Relations of Characteristics of Science Teachers And Students With The Student Achievement In Science: A Case Analysis According To TIMSS 2011 Data

The aim of this study is to investigate relationship between student and science teacher characteristics with student achievement in science at the 8th grade level according to Trends in International Mathematics and Science Study 2011 (TIMSS 2011). The main objective of the international assessment studies is to allow assessing the outputs of education systems by measuring students' knowledge and skill levels. In this research, Singapore, South Korea, Japan, England and Turkey participating in TIMSS 2011 countries data sets were used. Analysis of the data in the study Hierarchical Linear Modeling (HLM) was performed by analysis. Working in student achievement in science, which is a measure of points 5 fair value of the dependent variable was selected and educational status of the parents of the students, sharing student level student's educational goals and students' school life with their families that were used as control variables in the first level. The second level variables selected as teacher variables are grouped under three groups. they are; (1) teachers' demographic characteristics (2) properties related to the teacher's course work and teaching (3) are the indices that teachers participate in professional development activities to get the last two years. Teacher ratio describing the level of variance in student achievement in science studies and 7.5% (South Korea) - 56% (England) were in the range. TIMSS 2011 application variables of teacher students' science achievement of 28.5% of the variance in Turkey, it has been concluded, the student can be explained by the remaining variables. The success of these variables were included in the study between teacher characteristics affecting significantly in Turkey; (ii) job satisfaction, (ii) the use of computers in class, and (iii) they have taken on the information technology index was found to participate in professional development activities. is located. Keywords. Science, teacher and student characteristics, student achievement in science, HLM analysis, TIMSS *Bu makale Dr. Ilkay ABAZAOĞLU'nun Gazi Universitesi Egitim Bilimleri Enstitusu'nde 2014 yilinda tamamlamis oldugu "Fen Bilgisi Ogretmen Ozelliklerinin Ogrenci Fen Basarisi Ile Iliskisi: TIMSS 2011 Verilerine Gore Bir Durum Analizi" baslikli doktora tez calismasindan turetilmistir.
Agentes Comunitárias de Saúde na pandemia de Covid-19: scoping review

RESUMO Este artigo teve por objetivo sistematizar e analisar a literatura que aborda o trabalho das Agentes Comunitárias de Saúde (ACS) no enfrentamento da pandemia de Covid-19. Trata-se de uma revisão de escopo, realizada na Embase, Lilacs, SciELO, Medline e Cochrane Library. Envolve publicações no período de janeiro a dezembro de 2020, tendo os estudos selecionados sido submetidos à análise, considerando as seguintes categorias: práticas, formação, condições de trabalho e legitimidade. Foram incluídos 29 estudos na revisão cujo cenário de atuação das ACS foram países da África, América do Sul, América do Norte, Ásia e Europa. Os resultados revelaram enfoques diversificados de práticas nos países estudados que envolvem ações de cuidado, vigilância, comunicação e educação em saúde, práticas administrativas, articulação intersetorial e mobilização social. A formação recebida parece não corresponder ao rol de práticas e impacto esperado do trabalho das ACS. As condições de trabalho continuam precarizadas com alguns incentivos extras sendo ofertados em diferentes cenários. O reconhecimento e a legitimidade perante as autoridades sanitárias revelam a disputa em torno do próprio rumo dos modelos de atenção à saúde e abrangência dos sistemas de proteção social nos diversos países.