bluuebunny/crossref_metadata_2025_split huggingface dataset:
Múltiples Representaciones en un curso de Cálculo Diferencial de Bachillerato a través del Microlearning
Authors: Herrera Heli , Moreno-Beltrán Reyna , Cuesta-Borges Abraham 
Published: February 2024

La enseñanza del cálculo diferencial en México es motivo de estudio por su relevancia en los niveles medio superior (bachillerato) y superior; de manera especial, la comunidad científica, mediante el enfoque diferentes representaciones, ha estudiado las dificultades en el estudio del límite y/o la derivada, como dos importantes nociones vinculadas a los procesos de variabilidad de una función. Esta investigación incorpora, al empleo de múltiples representaciones, el uso del microlearning como un mecanismo auxiliar para la apropiación de ambos conceptos del curso. Mediante un diseño instruccional y una metodología descriptiva, de naturaleza mixta, se analiza el contenido de las respuestas proporcionadas por los estudiantes. Se pudo constatar que, la vinculación con los nuevos recursos tecnológicos brinda una mejor comprensión, y adaptabilidad, de parte del estudiantado; de manera especial, en lo que concierne a las aplicaciones a situaciones propias de su contexto, que resulta ser una de las competencias a lograr dentro de los programas establecidos por la Dirección General de Bachillerato de México.
Perencanaan Jaringan Distribusi Air Bersih Pedesaan dengan Software Epanet 2.0
Authors: Barid Burhan , Septiani Serlina Nurnagini 
Published: February 2024

Abstrak Pemenuhan air bersih meliputi sumber air, sistem pengolahannya dan distribusinya. Sistem distribusi air bersih yang belum terencana dengan tepat akan membuat air bersih tidak sampai kepada masyarakat. Hal inilah yang menjadi hambatan dalam pengelolaan air bersih, khususnya yang dikelola secara mandiri oleh masyarakat. Oleh karena itu, penelitian ini bertujuan untuk menganalisis sistem distribusi air bersih yang ada di Desa Mantren, Magetan. Perencanaan jaringan dilakukan dengan menggunakan software Epanet 2.0. Sumber air direncanakan menggunakan sumur bor dengan debit rencana 1,95 liter/detik. Tipe pengaliran menggunakan gravitasi dari tampungan air dengan ketinggian tertentu. Hasil analisis menunjukkan bahwa ketinggian tampungan air yang disarankan adalah 11 meter dari permukaan tanah. Jumlah kebutuhan pipa sebanyak 55 buah. Dengan desain jaringan air yang telah dibuat, diperoleh tekanan air dalam pipa dan kecepatan aliran telah memenuhi persyaratan yang dikeluarkan Kementerian Pekerjaan Umum pada tahun 2007. Tekanan air dalam pipa berkisar 5-80 meter dan kecepatan aliran berkisar 0,3-4,5 m/detik. Hasil penelitian ini diharapkan mampu menjadi bahan rekomendasi teknis dalam perencanaan sistem distribusi air oleh warga setempat. Kata-kata kunci: Epanet 2.0, sistem distribusi, tekanan air, dan kecepatan aliran. Abstract Fulfillment of clean water includes water sources, processing systems and distribution. A clean water distribution system which is not properly planned may lead to problems in accessibility. This is a very common problems in water distribution system, especially for that is managed and owned by the community. Therefore, this research aims to analyze the clean water distribution system in Mantren Village, Magetan. Network planning is carried out using Epanet 2.0 software. The water source is planned to use a drilled well with a planned discharge of 1.95 liters/second. The water is pumped to the reservoir tank and distributed to the people by gravity force. The analysis results show that the recommended height of the reservoir tank is 11 meters from the ground surface. The number of required pipes is 55 pieces. The water pressure in the pipes and flow velocity have met the requirements issued by the Ministry of Public Works in 2007. The water pressure is in the range of 5-80 meters, while the flow velocity is in the range of 0.3-4, 5 m/sec. The results of this research is expected to provide technical recommendations in planning water distribution systems by local residents. Keywords: Epanet 2.0, distribution system, water pressure, and flow velocity
Technological advancements, digital transformation, and future trends in blood transfusion services
Authors: Varghese Abin , Thilak Kavitha , Thomas Saritha Mary 
Published: February 2024

Misidentification, mistransfusion, and pre-analytical errors are all regarded as major challenges and risks in safe blood transfusion procedures. To provide a high level of accuracy, traceability, automation, and reliability in blood transfusion services, traditional methods should be upgraded with modern technologies such as block chain technology, machine learning, artificial intelligence (AI), artificial neural networks, algorithm-based learning, and the implementation of radio frequency identification (RFID) and the internet of things (IoT). This technology helps reduce errors, retrieve data, forecast blood demand, reduce blood waste, manage blood storage, and manage workload, ensuring transfusion safety. The technology is still in the initial stages of development and by addressing issues such as data loss, patient data privacy, and cost-effectiveness, the technology will become a revolution in transfusion services.
Rewolucja w cieniu epidemii cholery. Rok 1905 w Łodzi
Authors: Sikorska Marta 
Published: February 2024

Artykuł przedstawia w zarysie najważniejsze wydarzenia, jakie miały miejsce w 1905 r. w Łodzi. Na tle zaburzeń rewolucyjnych, łódzcy lekarze i społecznicy prowadzili przygotowania do walki z epidemią cholery. Zły stan sanitarny miasta i ubóstwo znacznej części mieszkańców powodowały obawy, że epidemia mogła mieć w mieście dramatyczny przebieg.
Influence of Sociodemographic Factors and Obstetric History on Choice of Place of Delivery: A Retrospective Study Among Post-Natal Women in Ghana
Authors: Inusah Abdul-Wahab , Alhassan Nana Asha , Charadan Ana Maria Simono , Marzo Roy Rillera , Ziblim Shamsu-Deen 
Published: February 2024

Background and Objectives:Even though Ghana has recorded an appreciable level of facility delivery compared to other countries in sub-Saharan Africa, the country still has a lot of regional and community variations in facility delivery where professional maternal health care is guaranteed. This study assessed the main factors associated with facility delivery in the Sagnarigu Municipal Assembly of the Northern Region of Ghana.Methods:Using a simple random sampling method, a retrospective community-based cross-sectional study was conducted from July 12, 2021 to October 17, 2021, among 306 postnatal women within 15 to 49 years who had delivered within the last six months. We conducted descriptive analyses, and the Pearson chi-square test of association between the sociodemographic factors and obstetrics history with the outcome variable, choice of place of birth. Lastly, significant variables in the chi-square test were entered into adjusted multivariate logistics regression to determine their association with the place of delivery. Data analysis was performed using the Statistical Package for Social Sciences version-25, with statistical significance set at a p-value of 0.05.Results:The study reported a facility delivery rate of 82%, which is slightly higher than the national target (80%). We observed that age group [AOR 2.34 (1.07-5.14)], marital status [AOR 0.31 (0.12-0.81)], ethnicity [AOR 3.78 (1.18-12.13)], and couple’s occupation [AOR 24.74 (2.51-243.91)] were the significant sociodemographic factors influencing facility delivery. The number of antenatal care (ANC) attendance [AOR 8.73 (3.41 – 22.2)] and previous pregnancy complications [AOR 2.4 (1.11 – 5.7)] were the significant obstetrics factors influencing facility delivery.Conclusion and Global Health Implications:We found that specific sociodemographic and obstetric factors significantly influence the choice of place of delivery in the study area. To address this, the study recommends targeted interventions that focus on providing support and resources for women from different age groups, marital statuses, ethnicities, and occupational backgrounds to access facility delivery services. Additionally, improving ANC attendance and effectively managing pregnancy complications were highlighted as important measures to encourage facility-based deliveries.
Meta-analysis and transcriptome analysis reveal an inverse relationship between Alzheimer’s disease and cancer
Authors: Zheng Gui , Xu Mengli , Dong Zehua , Wang Xiaosheng 
Published: February 2024

Abstract

Background
In previous studies, Alzheimer's disease (AD) has consistently been linked to aging, and some recent reports have suggested an inverse relationship between the risk of AD and the risk of cancer, although the underlying mechanism remains unclear.
Methods
Epidemiological meta-analysis was performed to determine whether AD patients were less likely to develop cancer and whether cancer patients were less likely to develop AD. And we analyzed associations of APOE expression, an AD risk gene, with anti-tumor immune signatures, tumor immunity related molecular and genomic features, and clinical features in 33 TCGA cancer types.
Results
Our project showed that people with AD are epidemiologically less likely to develop cancer than individuals without AD (RR: 0.53, 95% CI: [0.40, 0.70]), and similarly, cancer patients are less likely to develop AD than non-cancer patients (RR: 0.61, 95% CI: [0.45, 0.83]). And then APOE expression had significant positive correlations with the enrichment scores of anti-tumor immune signatures in most cancer types (P < 0.05, ρ > 0). Similarly, we found that cancer patients with high APOE expression had a higher proportion of early-stage (Stage I-II) tumors (P < 0.05).
Conclusions
This research reveals that individuals with AD have a lower likelihood of developing cancer, whereas those with cancer are not prone to AD. The study also pinpoints the crucial APOE gene of which acts as a risk factor for AD but also has anti-tumor activity, and offers novel perspectives on the diagnosis and treatment of both afflictions.
Bioimpedance Based Biomarker for the Detection of Precancerous and Cancerous Lesions of the Pancreas: Feasibility Animal Study
Authors: Dibennardo Federica , Guidetti Martina , Fidaner Onur , Gehrke Daniel S , Ceres Donato , John Margaret C , Bovalis Constantine H , Kundro Erik , Grycuk Alexander , Castellanos Karla , Coleman Adonis , Sudhir Kavya , Heneche Jorge , Acebedo Jose , Jimenez Angel , Raijman Isaac , Grippo Paul , Bogdanowicz Les 
Published: February 2024

Abstract

Background: Pancreatic cancer (PC) remains a significant healthcare challenge due to its aggressive nature and poor prognosis. The current gold standard that combines imaging modalities, endoscopy, and biopsies has limited diagnostic efficacy due to various shortcomings.
Methods: We propose a feasibility study for the use of a bioimpedance biomarker to detect PC. The biomarker was evaluated in a double blind study on ex vivo pancreata of mice: 15 LSL-KrasG12D; LSL-p53R172H; Pdx1-Cre, 2 LSL-KrasG12D, and 9 wild type controls (Study 1). To determine if the biomarker can distinguish between PC and acute pancreatitis (AP), we challenged it with 18 cerulein-induced AP and 6 saline-injected controls (Study 2).
Results: The results from Study 1 showed 100% specificity and 94% sensitivity against histopathology outcomes; for Study 2 all AP and saline-injected pancreases were diagnosed as non-cancerous. Regression analysis revealed a positive correlation between biomarker and pathologically analyzed cancer-induced fibrosis (r(24)= 0.73 (p<0.001)).
Conclusion: These findings demonstrate the potential of this bioimpedance biomarker as a diagnostic tool for PC.
Bioinformatics-based analysis of amino acid metabolism-related features to predict clinical prognosis and immunotherapy response in triple-negative breast cancer
Authors: Zheng Yifan , Li Lin , Lin Bing , Yang Yongxia , Zhang Yongcheng , Lin Yufeng , Huang Wenbin , Zhang Rongxing 
Published: February 2024

Abstract

Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer associated with poor prognosis. In addition to the Warburg effect, amino acids and metabolites affect tumor development, are involved in modulating the tumor immune microenvironment (TME) and regulating the anti-tumor immune response. However, the relationship between amino acid metabolism and the clinical prognosis and immunotherapeutic response of triple negative breast cancer are still indistinct. We established a risk signature consisting of 12 genes by differential Analysis, univariate COX regression analysis and LASSO-COX analysis. The GEO cohort confirmed the validity of the risk signature. We used single-sample genomic enrichment analysis (ssGSEA), tumor mutation burden (TMB), and IC50 values of drugs to discover the relationship between the risk signature, immune status, and drug sensitivity in TNBC. We also verified the expression of the risk signature gene ALDH4A1 in tissues and cells by qPCR assay, and migration assay verified its role in TNBC cell invasion. Our study may provide new insights into amino acid metabolic therapy for the treatment of TNBC patients.
Mechanically Tunable, Compostable, Healable and Scalable
Engineered Living Materials
Authors: Joshi Neel , Manjula-Basavanna Avinash , Duraj-Thatte Anna 
Published: February 2024

Abstract

Novel design strategies are essential to realize the full potential of Engineered Living Materials (ELMs), including their biodegradability, manufacturability, sustainability, and ability to tailor functional properties. Toward these goals, we present Mechanically Engineered Living Material with Compostability, Healability, and Scalability (MECHS) – a material that integrates these features in the form of a stretchable plastic that is simultaneously flushable, compostable, and exhibits the characteristics of paper. This plastic/paper-like material is produced directly from cultured bacterial biomass (40%) producing engineered curli protein nanofibers in scalable quantities (0.5-1 g L-1). The elongation at break (1-160%) and Young’s modulus (6-450 MPa) of MECHS was tuned to more than two orders of magnitude. By genetically encoded covalent crosslinking of curli nanofibers, we increase the Young’s modulus by two times. MECHS biodegrades completely in 15-75 days, while its mechanical properties are comparable to petrochemical plastics and thus may find use as compostable materials for primary packaging.
Retinal blood flow association with age and weight in infants at risk for retinopathy of prematurity
Authors: Cho Euna , Das Urjita , Sidelnikov Danielle , Balasubramanian Tara , Shats Daniel , Mansoor Shaiza , Forbes He Eun , Zhou Jason , Kapoor Ria , Chase Sera , Kore Madi , Williams Kristin , Saeedi Osamah , Sundararajan Sripriya , Levin Moran Roni , Magder Laurence , Alexander Janet 
Published: February 2024

Abstract
This prospective study evaluated the relationship between laser speckle contrast imaging (LSCI) ocular blood flow velocity (BFV) and five birth parameters: gestational age (GA), postmenstrual age (PMA), and chronological age (CA) at the time of measurement, birth weight (BW), and current weight (CW) in preterm neonates at risk for retinopathy of prematurity (ROP).38 Neonates with BW < 2 kg, GA < 32 weeks, and PMA between 27–47 weeks underwent 91 LSCI sessions. Correlation tests and regression analysis were performed to quantify relationships between birth parameters and ocular BFV. Mean ocular BFV index in this cohort was 8.8 +/- 4.0 IU. BFV positively correlated with PMA (r = 0.3, p = 0.01), CA (r = 0.3, p = 0.005), and CW (r = 0.3, p = 0.02). BFV did not correlate with GA nor BW (r=-0.2 and r=-0.05, p > 0.05). Regression analysis with mixed models demonstrated that BFV increased by 1.2 for every kilogram of CW, by 0.34 for every week of CA, and by 0.36 for every week of PMA (p = 0.03, 0.004, 0.007, respectively). Our findings indicate that increased age and weight are associated with increased ocular BFV measured using LSCI in premature infants. Future studies investigating the associations between ocular BFV and ROP clinical severity must control for age and/or weight of the infant.
Improved DINO Model-Based Approach for ObjectDetection of Sesame Seedlings and Weeds
Authors: Wang Yong , Ye Zhenyuan 
Published: February 2024

Abstract

In the application scenario of precise pesticide spraying on sesame seedlings, existing object detection models exhibit lowrecognition accuracy and detection efficiency due to the complex imaging environment and the limited computational powerof agricultural intelligent equipment. Addressing this issue, this study proposes a denoising and lightweight object detectionmethod for sesame seedling and weed detection based on the DINO model. By introducing MobileNetV3 to replace theoriginal ResNet-50 backbone network in DINO, the neural network layers of the model are reduced by 70%, and the number ofparameters is decreased from 47M to 39M. Furthermore, the study employs multi-scale feature extraction from the 6th, 9th,and 13th layers of MobileNetV3. On the COCO dataset, the model achieves a recognition accuracy of 34.3% for targets smallerthan 32x32, which is an improvement of 2.3% over the original DINO model. The overall recognition accuracy is increasedby 2.1%, with a 17% reduction in parameters. Additionally, the model incorporates a three-layer lightweight image denoisingpreprocessing network based on the N2N strategy, achieving a peak signal-to-noise ratio of 34.52dB under level 10 Gaussiannoise. Furthermore, the model is trained and tested on a custom noise-added sesame seedling and weed dataset, achievinga recognition accuracy of 81.8% and a detection speed of 24 frames per second, which is a 5.6% improvement over thewell-established object detection model YOLOv7. The study demonstrates that the improved DINO object detection model hassignificant advantages in accuracy and lightweight design.
Association between mixed venous oxygen saturation and serum uric acid levels in patients with heart failure
Authors: Mashitani Yuto , Ogawa Kazuo , Funaki Ryuji , Tanaka Yoshiro , Oh Takuya , Tanaka Toshikazu , Nagoshi Tomohisa , Kawai Makoto , Yoshimura Michihiro 
Published: February 2024

Abstract
Hypoxia leads to increased purine metabolism in tissues, resulting in increased serum uric acid (UA) levels, and may also cause impaired UA excretion in the kidneys and intestinal tract. However, the relationship between hypoxia and serum UA levels in patients with heart failure remains largely unexplored. Because mixed venous oxygen saturation (SvO2) is an acute indicator of systemic oxygenation, in this study, we investigated the relationship between SvO2 and serum UA levels. This retrospective analysis included 386 patients with heart failure who underwent cardiac catheterization at our institution. The relationship between SvO2 and serum UA levels was examined by single regression analysis. Stratified regression analysis, structural equation modeling, and partial correlation analysis were used to examine the effects of eight factors known to influence SvO2 and serum UA levels. The single regression analysis showed a significant negative correlation between SvO2 and serum UA levels (P < 0.001). Significant negative correlations were also observed in many subgroups in the stratified analysis, in the path diagram based on structural equation modeling, and in the partial correlation analysis. These results suggest a strong and possibly direct relationship between SvO2 and serum UA levels that is not mediated by any known factor.
Characterization of linezolid- and methicillin-resistant coagulase-negative staphylococci in a tertiary hospital in China
Authors: Liu Cailin , Yu Jing , Chen Chunguang , Li Xiaogai , Ye Yafei , Dong Yani , Ying Xinxin , Li Haijun , Wang Wanhai 
Published: February 2024

Abstract

Background Recently, linezolid-resistant staphylococci have become an emerging problem worldwide. It is very important to understand the resistance mechanisms, molecular epidemiology and probable transmission of linezolid-resistant CoNS in the hospital.
Methods The antimicrobial susceptibilities of all the isolates were determined by the microdilution method. The resistance mechanisms and molecular characteristics of the strains were detected using whole-genome sequencing and PCR.
Results All the strains were resistant to oxacillin and carried the mecA gene; 13 patients (36.1%) had received prior linezolid exposure. The majority of the S. epidermidis and S. hominis isolates were ST22 and ST1, respectively. MLST typing and evolutionary analysis indicated that the majority of linezolid-resistant CoNS were genetically related. This study revealed that distinct CoNS strains have different linezolid resistance mechanisms. Among ST22-type S. epidermidis, the acquisition of the T2504A and C2534T mutations in the V domain of the 23S rRNA gene as well as the mutations in the ribosomal proteins L3 (L101V, G152D, and D159Y) and L4 (N158S) were linked to the development of linezolid resistance. In the S. cohnii isolates, the cfr, S158Y and D159Y mutations in the ribosomal protein L3 were found. Additionally, the emergence of the G2576T mutation and the cfr gene were major causes of linezolid resistance in S. hominis isolates.The cfr gene, the G2576T and C2104T mutations, the M156T change in L3, and the I188S change in the L4 protein were found in S. capitis isolates.
Conclusion The emergence of linezolid-resistant CoNS in our environment is concerning because it involves clonal dissemination and frequently coexists with various drug resistance mechanisms.
The association between the oxidative balance score and cognitive function in individuals with diabetes: NHANES 2011- 2014
Authors: Wang Xiufeng , Wang Cailin , Zheng Siyi , Sun Shangqi , Guo Hongxiu , Ma Rong , Li Gang 
Published: February 2024

Abstract

Background: Cognitive impairment is a significant complication of diabetes. There have been reports suggesting a relationship between Oxidative Balance Score (OBS) and various diseases. However, the impact of the oxidative equilibrium index, which merges prooxidant and antioxidant elements of diet and lifestyle on the cognitive abilities of individuals with diabetes remains uncertain.
Methods: Conducted as a retrospective cross-sectional analysis based on the National Health and Nutrition Examination Survey (NHANES), this study examined data from individuals with diabetes and those without diabetes from NHANES 2011-2014. We collected their basic information, including age, gender, level of education, annual household income, low-density lipoprotein cholesterol (LDL-C), klotho, and more. Cognitive function was evaluated using the Consortium to Establish a Registry for Alzheimer's Disease Word Recall (CERAD)word learning subtest, Animal Fluency Test (AFT) for animal fluency, and Digit Symbol Substitution Test (DSST)for digit symbol substitution. The relationship between cognitive performance in individuals with diabetes and the oxidative balance score was analyzed using a weighted multiple linear regression model and restricted cubic splines analysis.
Results: Diabetes patients demonstrated a higher incidence of cognitive impairment compared to individuals without diabetes. In the case of diabetes, a positive correlation between the OBS and DSST was observed, with the beta estimated at 0.41 (95% CI: 0.10, 0.71). Additionally, results from the RCS analysis indicated a nearly linear proportional connection between the OBS and DSST.
Conclusions: Cognitive function in diabetes exhibited a positive correlation with OBS. The results highlighted the importance of a nutritious diet habit and a healthy lifestyle in influencing cognitive function among individuals with diabetes.