bluuebunny/crossref_metadata_2025_split huggingface dataset:
SOFRIMENTO MENTAL DE MULHERES EM ISOLAMENTO SOCIAL DURANTE A PANDEMIA DA COVID-19
Authors: Raquel Lima de Pontes Amélia , de Almeida Costa Patrício , Oliveira de Araújo Tainá , Figueirêdo da Silva Pascoal Francilene , Dantas Farias de Andrade Luciana , Alves de Medeiros Leano Heloisy 
Published: October 2023

Objetivo: Analisar a frequência e características relacionadas ao possível sofrimento mental das mulheres em isolamento social durante a pandemia de covid-19. Metodologia: Estudo analítico, transversal, com abordagem quantitativa, realizado com 138 mulheres em diferentes regiões do estado da Paraíba. Os dados foram coletados por meio de questionário virtual entre janeiro e fevereiro de 2021, utilizando-se da técnica metodológica Bola de Neve Virtual. Sendo a análise subsidiada com o suporte da estatística descritiva e analítica por meio do software SPSS versão 20.0. Resultados: foi observado entre as participantes do estudo, que 51,4 % (71) das mulheres apresentaram escore compatível para o possível sofrimento mental. Quando relacionado com as variáveis sociodemográficas, econômicas, de hábitos de vida e de convivência no isolamento social, evidenciou-se que apenas a variável “está em confinamento com mais alguém” mostrou uma relação estatisticamente com o possível sofrimento mental entre as participantes. Conclusões: A pandemia da Covid-19 e consequentemente o isolamento social tem provocado sofrimento mental entre as mulheres, especialmente no que diz respeito ao viver confinado com outra pessoa. Logo, recomenda-se fortalecer a atenção integral à saúde da mulher, com ênfase ações voltadas para a saúde mental durante o período pandemia e pós-pandemia. Também, faz-se necessário refletir sobre aspectos da responsabilização imposta pela sociedade para as mulheres, assim como, da sobrecarga e desigualdade na divisão de tarefas no ambiente doméstico e laboral.
Material culture revealed from the antiquities obtained from the excavation of Gambhirwa Tola (Anuppur, M.P.)
Authors: Shrotriya Alok , Jain Jinendra Kumar , Chadhar Mohan Lal 
Published: October 2023

Archaeological investigations of Darsagar Panchayat in Kotma tehsil area near Maikal mountain in Anuppur district of Madhya Pradesh and excavation at a site named Gambhirwa Tola was done by the authors. In the said archaeological expeditions, numerous antiquities have been found which are helpful in illuminating the ancient history of Anuppur region and connecting the lost links. There are several aspects included in the study of society. Generally, human society is represented in four areas – political, social, economic and religious. In archaeological exploration and excavation, material related to these four areas is broadly documented, analyzed and interpreted. In the detailed excavation, numerous antiquities have been found which reveal various aspects of human life of that time, on the basis of which an attempt has been made to reconstruct the past lifestyle of humans living in the area near Maikal mountain and its vicinity.
Abstract in Hindi Language:
मध्यप्रदेश के अनूपपुर जिले में मैकल पर्वत की समीपवर्ती कोतमा तहसील क्षेत्र में दारसागर पंचायत का पुरातात्विक अन्वेषण एवं गम्भीरवा टोला नामक स्थल उत्खनन लेखकों द्वारा किया गया। उक्त पुरातात्विक अनुसंधान में अनुपपुर क्षेत्र के प्राचीन इतिहास को प्रभासित करने एवं विलुप्त कड़ियों को जोड़ने में सहायक बहुसंख्यक पुरावशेष प्राप्त हुए हैं। मानव समाज अपने परिवेश में विविध पक्षों को समाहित किए हुए होता है। आमतौर पर मानव समाज को चार क्षेत्रों या पहलुओं में निरूपित किया जाता है- राजनीतिक, सामाजिक,आर्थिक एवं धार्मिक। पुरातात्विक अन्वेषण एवं उत्खनन में मौटे तौर पर इन्ही चार क्षेत्रों से संबंधित सामग्री को प्रलेखित, विश्लेषित एवं व्याख्यायित किया जाता है। विवेच्य उत्खनन में तत्कालीन मानव जीवन के विविध पक्षों को सामने लाने वाले बहुसंख्यक पुरावशेष प्राप्त हुए हैं जिनके आधार पर मैकल के समीपवर्ती क्षेत्र में निवासित मानव की भूतकालीन जीवन-पद्धति के पुनर्निर्माण का प्रयास किया गया है।
Keywords: उत्खनन, पुरातत्व, मानव, भौतिक संस्कृति, पुरावशेष, मृद्‍भाण्ड, मृण्मूर्तियाँ, वलय-कूप
MODEL MATEMATIKA SENSOR MIKROKANTILEVER BERBASIS SISTEM PEGAS
Authors: Nuryadi Ratno 
Published: October 2023

Microcantilever has attracted interest for researchers as sensor in the field of chemistry, physics, biology and environment. Varieties of both theoretical and experimental studies have been conducted to explore the potential and to increase the sensor performance. In the theoretical studies, various models and simulations have been done to explain the microcantilever sensing phenomenon. This paper presents a mathematical model based on a spring system to explain the process of molecules sensing by using microcantilever. As a result, the resonant frequency shift due to detection of molecules on the surface mikrokantilever can be seen and this indicates that this model can be used to explain the sensing process in the microcantilever-based sensors.
Keywords : Microcantilever, sensor, spring system, simulation.

ABSTRAK
Mikrokantilever telah menjadi perhatian menarik bagi para peneliti untuk diaplikasikan sebagai sensor pada bidang kimia, fisika, biologi dan lingkungan. Berbagai studi baik teori maupun eksperimen pun telah dilakukan untuk menggali potensi dan meningkatkan perfomanya. Termasuk di dalamnya, model dan simulasi telah diusulkan untuk menerangkan fenomena sensing. Pada makalah ini akan dipaparkan model matematika berbasis sistem pegas untuk menerangkan proses sensing molekul dengan menggunakan mikrokantilever. Hasilnya, pergeseran frekuensi resonansi dari vibrasi mikrokantilever karena terdeteksinya molekul pada permukaan mikrokantilever dapat terlihat dan hal ini mengindikasikan bahwa model ini dapat dipakai untuk menerangkan proses sensing pada sensor berbasis mikrokantilever.
Kata Kunci : Mikrokantilever, sensor, sistem pegas, simulasi.
Penentuan Persamaan Kualitas Permukaan Bendakerja Hasil Proses Perautan Dengan Mesin Bubut Cnc.
Authors: _ Wirawan* 
Published: October 2023

Determination of equation on surface quality of the workpiece which is produced by cutting process using cnc turning machine
The problem is situated on the difficulties of predicting the surface roughness of the machined product using CNC turning machine, due to there is no mathematical model which expresses the surface formation on the cutting process. The objectives of this research is not only to observe the influence of cutting parameters to the surface rougness of the workpiece which is produced by machining process using CNC turning machine, but also to construct a mathematical model for predicting the surface roughness of the workpiece as a result of machining process with the cutting parameters involved. The research is carried out by: material selection of the test piece, test piece preparation, machining of the material test piece involving the predefined cutting data, and measuring oh the surface roughness of the work piece resulting from machining process. The result of this research is a surface roughness of the work piece which is machined using combination of cutting speed of 62.8; 141; 219 meter per menit, feedrate of 0.08; 0.34; 0.6 milimeter per rotation, and depth of cut of 0.08; 0.34; 0.6 milimeter. Finally, it is identified that the surface roughness of the work piece is significantly influenced by cutting parameters,and a mathematical model for predicting the surface roughness of the work piece can be constructed, as follow: Ra= 0,0102185 Vc + 8,81060 F + 8,5401 a – 0,0296552 Vc * a – 2,67699
Keywords: turning machined, surface roughness, cutting speed, feedrate, and depfth of cut.

Abstrak
Masalah terletak pada sulitnya memprediksi kekasaran permukaan hasil perautan menggunakan mesin bubut CNC, karena belum dimilikinya model matematik yang mengekspresikan pembentukan permukaan hasil proses perautan tersebut. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh parameter perautan terhadap kekasaran permukaan hasil perautan menggunakan mesin bubut CNC dan mendapatkan model matematik yang bisa digunakan untuk memprediksi keksaran permukaan bendakerja hasil perautan dengan data parameter yang digunakan. Cara uji meliputi: pemilihan bahan material uji, persiapan material uji, perautan material uji dengan data perautan yang ditetapkan, dan pengukuran kekasaran permukaan bendakerja hasil perautan. Hasil pengujian berupa kekasaran permukaan bendakerja untuk kombinasi kecepatan potong 62,8; 141; 219 meter per menit, kecepatan pemakanan 0,08; 0,34; 0,6 milimeter per putaran dan ketebalan penyayatan 0,3; 1,0; 2,0 milimeter. Pada akhirnya didapatkan hasil parameter perautan tersebut memiliki pengaruh terhadap kekasaran permukaan bendakerja sangat signifikan, serta didapat sebuah model matematik untuk memprediksi kekasaran permukaan bendakerja sebagai berikut: Ra= 0,0102185 Vc + 8,81060 F + 8,5401 a – 0,0296552 Vc * a – 2,67699
Kata kunci : mesin bubut, kekasaran permukaan, kecepatan potong, kecepatan pemakanan dan kedalaman penyayatan.
Study of the Chemical Composition and Biological Effects of Aromatic Waters in a Comparative Aspect
Authors: Burtseva Ye. V. , Katsev A. M. , Kuldyrkaeva E. V. , Mekhonoshina I. S. , Timasheva L. A. , Pekhova O. A. 
Published: October 2023

Introduction. Vegetable raw materials processing products are becoming very popular. Of particular value are the products of essential oil production – aromatic waters or hydrolates. Hydrolates are widely used as cosmetics because they contain a number of biologically active water-soluble components of essential oil, but unlike the latter they have a softer effect on the skin, which allows them to be used in their pure form.Aim. To study the chemical composition, antibacterial and antioxidant activity of hydrolates.Materials and methods. Hydrolates were used as objects of research of production JSC "AEMSZ" derived from plants: Lavandula angusifolia, Hyssоpus officinаlis, Sаlvia officinаlis, Rosmarinus officinalis, Rosa damascеna × Rosa gallica. The composition was analyzed by gas-liquid chromatography. Antibacterial properties of hydrolates were studied with the use of bioluminescent marine bacteria Aliivibrio fischeri F1 and recombinant test-bacteria Escherichia coli MG1655 (pXen7). The study of the antioxidant effect was carried out by the method of Fe3+-induced lipid peroxidation of egg lipoprotein suspension in vitro.Results and discussion. It was found that salvia hydrolate contains α- and β-thujone, β-caryophyllene, α-terpineol; lavender hydrolate – camphene, linalool, linalyl acetate, geraniol, geranyl acetate; rosemary hydrolate – camphene, 1,8-cineol, β-pinene; rose hydrolate – phenylethanol, geraniol, citronelol, nerol; hydrolate hyssop – pinocamphone, isopinocamphone, spatulenol, β-caryophyllene. The antibacterial properties of the studied hydrolates were manifested in the inhibition of test bacteria bioluminescence and growth. Hydrolates of hyssop, lavender and rosemary were characterized by the greatest activity, rose and salvia had a lesser effect. It was also shown that hyssop and lavender hydrolates exhibited the bactericidal properties. Through the studying the antioxidant effect, the dynamics of accumulation of products of free-radical oxidation of lipids was observed, which in the presence of hyssop and rosemary hydrolates decreased by 40 and 36 %, respectively, in comparison with the control.Conclusion. As a result of the research, it was found that the studied hydrolates have pronounced antibacterial properties. Antioxidant properties of Hyssopus officinalis and Rosmarinus officinalis hydrolates were also revealed. Prospects for further research are the development of medicinal and cosmetic products based on the hydrolates of the above-stated essential oil cultures.
The association between parity and hypertension: a cross-sectional, community-based study
Authors: Musa Imad R. , Osman Osman E. , Adam Ishag 
Published: October 2023

BackgroundThe available data on the association between parity and hypertension are inconclusive. This study was conducted to investigate the prevalence of hypertension and its association with parity among adult Sudanese women.MethodsA multi-stage sampling survey was conducted in four villages in the River Nile State in Sudan between July and September 2022. The World Health Organization's three-level stepwise questionnaire was used to gather the participants' sociodemographic characteristics (age, sex, marital status, parity, educational level, occupation, obstetric history, family history of hypertension, weight and height). Regression analyses were performed.ResultsA total of 408 women were recruited. The median [measured in terms of interquartile range (IQR)] age was 45.0 years (33.0–55.7 years). A linear regression analysis revealed a significant association between parity and diastolic blood pressure (coefficient, 0.60; P = 0.011). The prevalence of hypertension (55.9%) increased with parity and ranged from 43.7% to 74.9%. In the multivariate analyses, increasing age (adjusted odds ratio [AOR], 1.03; 95% confidence interval [CI], 1.02–1.05), increasing parity (AOR, 1.09; 95% CI, 1.01–1.19), family history of hypertension (AOR, 1.79; 95% CI, 1.15–2.77), and increasing body mass index (AOR, 1.09; 95% CI, 1.05–1.13) were associated with hypertension. In women of ages ≥ 50 years, increasing parity was significantly associated with hypertension (AOR, 1.15; 95% CI, 1.2–1.29). Para &gt; 5 (AOR, 2.73; 95% CI, 1.11–6.73) was associated with hypertension.ConclusionA high prevalence of hypertension was found among Sudanese women, and that parity at 5 or more is linked to hypertension.
Association between changes in predicted body composition and occurrence of heart failure: a nationwide population study
Authors: Woo Ho Geol , Kim Dong-Hyeok , Lee Hyungwoo , Kang Min Kyoung , Song Tae-Jin 
Published: October 2023

BackgroundLarge population-based studies on the association between changes in body composition and the occurrence of heart failure (HF) are rare. We aimed to determine the association between changes in body composition, including the predicted body fat mass index (pBFMI), predicted appendicular skeletal muscle mass index (pASMI), and predicted lean body mass index (pLBMI), and the occurrence of HF.MethodsFor present study, 2,036,940 people who consecutively underwent national health examinations from 2010~2011 (baseline period) to 2012~2013 (follow-up period) were included. The pBFMI, pASMI, and pLBMI were indirectly investigated using validated anthropometric prediction equations from the Korean National Health and Nutrition Examination Survey cohort. The outcome was defined as at least two or more claims of HF.ResultsDuring a median of 7.59 years of follow-up, 22,172 participants (event rate, 1.09%) with HF were observed. Decreased changes in the pASMI and pLBMI were associated with the occurrence of HF among males (hazard ratio [HR] 0.966, 95% confidence interval (CI) [0.944-0.988]; HR 0.939, 95%CI [0.923-0.955], respectively) and females (HR 0.924, 95%CI [0.900-0.947]; HR 0.951, 95%CI [0.939-0.963], respectively). An increased change in the pBFMI was associated with the occurrence of HF in males (HR 1.017, 95%CI [1.001-1.034]). However, paradoxically, a change in the pBFMI was associated with the occurrence of HF in females (HR 0.925, 95%CI [0.909-0.942]).ConclusionDecreased skeletal muscle mass was related to the occurrence of HF. However, the relationship between a change in fat mass and the occurrence of HF was different and even paradoxical depending on sex.
Autoimmune polyglandular syndrome type 4: experience from a single reference center
Authors: Gatta Elisa , Anelli Valentina , Cimino Elena , Di Lodovico Elena , Piovani Elda , Zammarchi Irene , Gozzoli Giorgia , Maltese Virginia , Cavadini Maria , Agosti Barbara , Delbarba Andrea , Pirola Ilenia , Girelli Angela , Buoso Caterina , Bambini Francesca , Alfieri Daniele , Bremi Walter , Facondo Paolo , Lupo Roberto , Bezzi Francesco , Fredi Micaela , Mazzola Anna Maria , Gandossi Elena , Saullo Maura , Marini Fiorella , Licini Massimo , Pezzaioli Letizia Chiara , Pini Laura , Franceschini Franco , Ricci Chiara , Cappelli Carlo 
Published: October 2023

PurposeTo characterize patients with APS type 4 among those affected by APS diagnosed and monitored at our local Reference Center for Autoimmune Polyglandular Syndromes.MethodsMonocentric observational retrospective study enrolling patients affected by APS diagnosed and monitored in a Reference Center. Clinical records were retrieved and analyzed.Results111 subjects (51 males) were affected by APS type 4, mean age at the onset was 23.1 ± 15.1 years. In 15 patients the diagnosis of APS was performed during the first clinical evaluation, in the other 96 after a latency of 11 years (range 1-46). The most frequent diseases were type I diabetes mellitus and celiac disease, equally distributed among sexes.ConclusionsThe prevalence of APS type 4 is 9:100,000 people. Type I diabetes mellitus was the leading indicator of APS type 4 in 78% subjects and in 9% permitted the diagnosis occurring as second manifestation of the syndrome. Our data, showing that 50% of patients developed APS type 4 within the first ten years, don’t suggest any particular follow-up time and, more importantly, don’t specify any particular disease. It is important to emphasize that 5% of women developed premature ovarian failure.
Radiomics-based ultrasound models for thyroid nodule differentiation in Hashimoto’s thyroiditis
Authors: Fang Mengyuan , Lei Mengjie , Chen Xuexue , Cao Hong , Duan Xingxing , Yuan Hongxia , Guo Lili 
Published: October 2023

BackgroundPrevious models for differentiating benign and malignant thyroid nodules(TN) have predominantly focused on the characteristics of the nodules themselves, without considering the specific features of the thyroid gland(TG) in patients with Hashimoto’s thyroiditis(HT). In this study, we analyzed the clinical and ultrasound radiomics(USR) features of TN in patients with HT and constructed a model for differentiating benign and malignant nodules specifically in this population.MethodsWe retrospectively collected clinical and ultrasound data from 227 patients with TN and concomitant HT(161 for training, 66 for testing). Two experienced sonographers delineated the TG and TN regions, and USR features were extracted using Python. Lasso regression and logistic analysis were employed to select relevant USR features and clinical data to construct the model for differentiating benign and malignant TN. The performance of the model was evaluated using area under the curve(AUC), calibration curves, and decision curve analysis(DCA).ResultsA total of 1,162 USR features were extracted from TN and the TG in the 227 patients with HT. Lasso regression identified 14 features, which were used to construct the TN score, TG score, and TN+TG score. Univariate analysis identified six clinical predictors: TI-RADS, echoic type, aspect ratio, boundary, calcification, and thyroid function. Multivariable analysis revealed that incorporating USR scores improved the performance of the model for differentiating benign and malignant TN in patients with HT. Specifically, the TN+TG score resulted in the highest increase in AUC(from 0.83 to 0.94) in the clinical prediction model. Calibration curves and DCA demonstrated higher accuracy and net benefit for the TN+TG+clinical model.ConclusionUSR features of both the TG and TN can be utilized for differentiating benign and malignant TN in patients with HT. These findings highlight the importance of considering the entire TG in the evaluation of TN in HT patients, providing valuable insights for clinical decision-making in this population.
Development of genomic phenotype and immunophenotype of acute respiratory distress syndrome using autophagy and metabolism-related genes
Authors: Xia Feiping , Chen Hui , Liu Yigao , Huang Lili , Meng Shanshan , Xu Jingyuan , Xie Jianfeng , Wang Guozheng , Guo Fengmei 
Published: October 2023

BackgroundDistinguishing ARDS phenotypes is of great importance for its precise treatment. In the study, we attempted to ascertain its phenotypes based on metabolic and autophagy-related genes and infiltrated immune cells.MethodsTranscription datasets of ARDS patients were obtained from Gene expression omnibus (GEO), autophagy and metabolic-related genes were from the Human Autophagy Database and the GeneCards Database, respectively. Autophagy and metabolism-related differentially expressed genes (AMRDEGs) were further identified by machine learning and processed for constructing the nomogram and the risk prediction model. Functional enrichment analyses of differentially expressed genes were performed between high- and low-risk groups. According to the protein-protein interaction network, these hub genes closely linked to increased risk of ARDS were identified with CytoHubba. ssGSEA and CIBERSORT was applied to analyze the infiltration pattern of immune cells in ARDS. Afterwards, immunologically characterized and molecular phenotypes were constructed according to infiltrated immune cells and hub genes.ResultsA total of 26 AMRDEGs were obtained, and CTSB and EEF2 were identified as crucial AMRDEGs. The predictive capability of the risk score, calculated based on the expression levels of CTSB and EEF2, was robust for ARDS in both the discovery cohort (AUC = 1) and the validation cohort (AUC = 0.826). The mean risk score was determined to be 2.231332, and based on this score, patients were classified into high-risk and low-risk groups. 371 differential genes in high- and low-risk groups were analyzed. ITGAM, TYROBP, ITGB2, SPI1, PLEK, FGR, MPO, S100A12, HCK, and MYC were identified as hub genes. A total of 12 infiltrated immune cells were differentially expressed and have correlations with hub genes. According to hub genes and implanted immune cells, ARDS patients were divided into two different molecular phenotypes (Group 1: n = 38; Group 2: n = 19) and two immune phenotypes (Cluster1: n = 22; Cluster2: n = 35), respectively.ConclusionThis study picked up hub genes of ARDS related to autophagy and metabolism and clustered ARDS patients into different molecular phenotypes and immunophenotypes, providing insights into the precision medicine of treating patients with ARDS.