bluuebunny/crossref_metadata_2025_split huggingface dataset:
Materiales de Sutura de elección (absorbibles y no absorbibles) en la práctica de medicina y cirugía general
Authors: Núñez Castro Mónica , Pacheco Sancho José David , Sánchez Montero Marco , Pacheco Pizarro Julio 
Published: October 2021

En el presente artículo, a partir de la revisión de la literatura mundial disponible, se hace una breve reseña historia de la evolución de los materiales de sutura, usados por el ser humano desde épocas ancestrales. Se trata de ordenar, mediante clasificaciones ya existentes, los diferentes materiales de sutura, y agruparlos de acuerdo con sus características de absorbibles y no absorbibles. As mismo, dentro de los materiales de sutura absorbibles, se establece cuáles son los diferentes mecanismos de absorción, y cuál es la mayor conveniencia de uno o de otro, para su utilización desde el punto de vista clínico. Se trata de establecer también, mediante la revisión de publicaciones científicas previas, cuáles son las características deseables de los diferentes materiales de sutura, que los hacen de elección para su uso en diferentes situaciones clínicas. Muchas veces de la adecuada elección de un determinado material de sutura, depende en gran parte la evolución clínica del paciente tratado. Por lo que, tomando en cuenta el gran desarrollo de la industria moderna, donde día a día se introducen más y mejores materiales para su utilización en medicina y cirugía, e profesional en salud, se ve en la necesidad de mantenerse debidamente actualizado en estos tópicos.
Formulation of weekly and monthly thumb rule models for prediction of potential productivity of sunflower in Punjab
Authors: JASPAL SINGH  , PRABHJYOT KAUR  
Published: October 2021

A study was conducted to evaluate the effect of meteorological parameters on Sunflower crop by analyzing meteorological and crop data (2003-2017) for three locations (Ludhiana, Ballowal Saunkhari and Amritsar) and to develop weather based “Weekly and Monthly Thumb Rule Models” for predicting the potential yield of sunflower crop in Punjab. These climatic normals were used for comparing the actual data to evaluate the effect of meteorological parameters on the yield of sunflower. In Punjab, ideally humid (maximum relative humidity between 77% - 94%) weather from mid-February to mid-March is favourable for optimum growth and development of vegetative stage in crop. The warm temperature (>35 ºC) during the seed development period after the flowering stage of sunflower is favourable for seed yield. However, heavy rainfall in the months of April and May with cloudy weather (sunshine hour < 9.2 hour) are not favourable for its productivity. The actual meteorological data of high yield crop years over the past 15 years were analyzed for different growth stages of sunflower to work out the critical ranges of meteorological parameters. Weather based “Thumb Rule Models” using the weekly and monthly meteorological data for different growth stages were formulated for use in developing the crop weather insurance term sheets and also predicting the potential yield of sunflower crop.
Prediction for rice yield using data mining approach in Ranga Reddy district of Telangana, India
Authors: BABY AKULA  , R.S.PARMAR  , M. P. RAJ  , K. INDUDHAR REDDY  
Published: October 2021

In order to explore the possibility of crop estimation, data mining approach being multidisciplinary was followed. The district of Ranga Reddy, Telangana State, India has been chosen for the study and its year wise average yield data of rice and daily weather over a period of 31 years i.e. from 1988-2019 (30th to 47th Standard Meteorological Weeks). Data mining tool WEKA (V3.8.1). Min- Max Normalization technique followed by Feature Selection algorithm, ‘cfsSubsetEval’ was also adopted to improve quality and accuracy of data mining algorithms. Thus, after cleaning and sorting of data, five classifiers viz., Logistic, MLP (Multi Layer Perceptron), J48 Classifier, LMT (Logistic Model Trees) and PART Classifier were employed over the trained data. The results indicated that the function based and tree based models have better performance over rule based model. In case of function based two models examined, viz., Logistic and MLP, the later performed better over Logistic model. Between tree based two models, LMT performed better over J48. Thus, MLP classifier model found to be the best fit model in predicting rice yields as it recorded an accuracy of 74.19 %, sensitivity of 0.742 and precision of 0.743 as compared with other models. The MLP has also achieved the highest F1 score of (0.742) and MCC (0.581).
Blood cells and hematological parameters of the mountain dragon, Diploderma micangshanensis (Squamata: Lacertilia: Agamidae)
Authors: Bai Yinlong , Li Guanglu , Lin Shuaichao , Xiong Jianli 
Published: October 2021

Hematological characteristics reflect the health status of animals and their physiological adaptation to the environment. However, few studies focused on the species of Diploderma. In this study, the blood cells and the hematological parameters of Diploderma micangshanensis, a species endemic to China, were examined based on 48 healthy adult (32 males and 16 females). The blood cells and hematological parameters of D. micangshanensis were similar to those of other lizard species. Although the values of erythrocyte morphometric characters and hematological parameters varied between males and females, the differences were only significant in the case of the hematocrit and erythrocyte size, which may allow for higher oxygen availability in males. Hemoglobin, mean corpuscular hemoglobin concentration, and mean corpuscle volume were strongly affected by the snout-vent length and/or body mass, which reflect the physiological adaptation to the oxygen requirement of different individuals. This is the first report of hematological data from a species of Diploderma, and the results will provide data for research on the adaptive evolution and health assessment in this species and other congeners.
Correlation between Cycle Threshold (Ct) Value and IL-6 and D-Dimer in Chip-based RT-PCR Positive COVID-19 Cases: Study from a Stand-alone Laboratory
Authors: Gandhi Chhavi , Ravikumar H. N. , Ravikumar Vani , Vani C. 
Published: October 2021

Background: Novel Coronavirus (SARS-COV-2) is a leading cause of morbidity and mortality since the beginning of 2020 leading to range of symptoms from mild flu to respiratory distress, which is called COVID-19. RTPCR being the main diagnostic test can confirm the presence of the virus in the clinical samples, while various studies have defined Interleukin-6 and D-dimer as potent biomarker for severity. In this study, we have attempted to correlate the severity of COVID-19 with the presence of IL-6 and D-dimer and the Cycle threshold (Ct vlue) as determined by chip based RTPCR.
Aim: The study aims to correlate the Cycle threshold value obtained after chip-based RT-PCR with markers such as IL-6 and D-Dimers.
Methodology: It is a retrospective, observational study done in 799 subjects in a span of three months (August 2020 to October 2020) at R V Metropolis Diagnostic and Healthcare Pvt Ltd. All symptomatic patients who tested positive in the Laboratory for COVID-19 by chip-based RT-PCR were included. Chip based RTPCR or Truenat test was performed on Nasopharyngeal swabs of the suspected subjects. Interleukin-6 was determined by Electrochemiluminiscence assay while D-dimer was done on the principle of Chemiluminiscence.
Statistical Analysis Used: SPSS 12.0 version.
Results: Total number of subjects enrolled were 799, with mean age of the subjects being 46.80± 17.55 years. In the study, males were found to be affected by COVID-19 more than females with ratio of male to female being 1.65:1. 498 (62.3%) of males presented with COVID-19 while it was observed in 301 (37.6%) females. Out of 799 subjects, 289 (36.2%) were symptomatic and out of 289 subjects, 140 (17.5% of total subjects) required hospitalisation. Cycle threshold values of both screening as well as confirmatory genes were determined separately in the cases of symptomatic and asymptomatic cases and there was no significant difference between the Ct values in cases of symptomatic and asymptomatic patients. Symptomatic patients were subcategorised under hospitalised and non-hospitalised and Again, no significant difference was seen between the two subset of patients in terms of Ct-value and, indirectly, the viral load of their clinical sample. The results convey that IL-6 and D-Dimer was significantly high (p=0.001 and <0.001 respectively) in case of symptomatic patients.D-Dimer was significantly high (p= <0.001) in the patients who needed hospitalisation. IL-6 was significantly raised as well (p=0.02). Screening and confirmatory gene were found to have no significant relationship with IL-6 and D-Dimer, neither any correlation was observed with them.
Conclusion: Biomarkers such as Interleukin-6 and D-dimer can very well help in determining the severity and need for hospitalisation in a COVID-19 affected patient, but they have been found to have no relationship with cycle threshold value of RTPCR in our study.
Diagnostic Evaluation of Autism Spectrum Disorders, A Health Professional Survey
Authors: Saleem Khadija , Khan Muhammad Sikander Ghayas , Firdous Aayeshah , Naseer Iqra , Rashid Amna , Saleem Sadia , Naseer Alia 
Published: October 2021

Background: Since the prevalence and awareness AutismSpectrum Disorders (ASD) is growing day by day, it is crucial to correctly allocate diagnosis of ASD. According to the guidelines, there should be a multi-agency strategy group for diagnosis of ASD.
Aim: To find out the diagnostic practices of ASD among different Health Professionals.
Place and Duration of Study: Riphah International University, Lahore campus. The study was conducted from October 2017 till March 2018.
Methodology: Data was collected from 116 professionals which included Speech-Language Pathologists, Pediatricians, Psychiatrists, Psychologists and Occupational Therapists by using questionnaire. A cross-sectional survey was carried out by using the technique of convenient sampling. Researcher collected the data from Riphah International University in person and some professionals were sent questionnaires online.
Results: Majority of professionals provide diagnostic service i.e. 84.4% as a part of multidisciplinary team whereas 15.6% are sole practitioners for giving diagnosis; 51.1% collaborate with other professionals to make a consensus diagnosis and the most frequently used tool by professionals for diagnosing ASD is Childhood Autism Rating Scale CARS (76.7%) and Diagnostic and Statistical Manual of Mental Disorders V/IV (DSM V OR IV) criteria (67.8%).
Conclusion: The professionals in the current study are using multidisciplinary approach for diagnosing ASD and a small number are sole practitioners. The most frequently used tool for diagnosing ASD are CARS and DSM V OR IV criteria. However, very few practitioners use the diagnostic tool Autism Diagnostic Observation Schedule ADOS and Autism Diagnostic Interview-Revised ADI-R. The professionals who provide diagnosis of ASD are Speech and language Pathologists, Psychologists, pediatricians, psychiatrists and Occupational therapists.
Bioethanol Limbah Kulit Jeruk Manis (Citrus Sinensis L. Osbeck) Sebagai Peningkatan Nilai Oktan
Authors: Sutrisno Teng , Falito Muhammad Robby , Anggono Willyanto , Simanjuntak Melvin Emil 
Published: October 2021

Bioetanol merupakan biofuel yang dapat mengantikan bahan bakar bensin. Selain itu bioetanol dihasilkan oleh proses fermentasi glukosa kemudian dilanjutkan dengan proses destilasi. Limbah kulit jeruk yang cenderung menjadi sampah organik yang tidak memiliki nilai ekonomis, mengandung kadar glukosa yang cukup tinggi. Oleh karena itu limbah kulit jeruk ini diprediksi dapat dijadikan bahan baku pembuatan bioetanol. Fermentasi dari limbah kulit jeruk ini dapat menghasilkan alkohol dengan kadar 94%. Bioethanol ini digunakan sebagai pencampur bahan bakar bensin dengan RON 90 agar dapat meningkatkan kualitas bahan bakar. Pengujian karaketerisik bioethanol dilakukan dengan pengujian parameter gum konten, kandungan sulfur, distilasi volume penguapan, dan berat jenis. Kemudian campuran bensin dengan bioethanol dengan konfigurasi E20 (20 % ethanol) dan E27 (27% ethanol). Hasil pengujian dinamometer bahan bakar E20 menunjukkan peningkatan daya 2.90% dan 3.18 % dibandingkan dengan bahan bakar bensin 100% RON 90.
Electrochemistry and Optical Microscopy
Authors: Kanoufi Frédéric 
Published: October 2021

Abstract

Electrochemistry exploits local current heterogeneities at various scales ranging from the micrometer to the nanometer. The last decade has witnessed unprecedented progress in the development of a wide range of electroanalytical techniques allowing to reveal and quantify such heterogeneity through multiscale and multifunctional
operando
probing of electrochemical processes. However, most of these advanced electrochemical imaging techniques, employing scanning probes, suffer from either low imaging throughput or limited imaging size. In parallel, optical microscopies, which can image a widefield of view in a single snapshot, have made considerable progress in terms of sensitivity, resolution, and implementation of detection modes. Optical microscopies are then mature enough to propose, with basic bench equipment, to probe in a nondestructive way a wide range of optical (and therefore structural) properties of a material
in situ
, in real time: under operating conditions. They offer promising alternative strategies for quantitative high‐resolution imaging of electrochemistry. The first sections recall the optical properties of materials and how they can be probed optically. They discuss fluorescence, Raman, surface plasmon resonance, scattering, or refractive index. Then the different optical microscopes used to image electrochemical processes are examined along with some strategies to extract quantitative electrochemical information from optical images. Finally, the last section reviews some examples of
in situ
imaging, at micro‐ to nanometer resolution, and quantification of electrochemical processes ranging from solution diffusion to the conversion of molecular interfaces or solids.
Nanotechnology Strategies for Plant Genetic Engineering
Authors: Yan Yong , Zhu Xiaojun , Yu Yue , Li Chao , Zhang Zhaoliang , Wang Feng 
Published: October 2021

AbstractPlant genetic engineering is essential for improving crop yield, quality, and resistance to abiotic/biotic stresses for sustainable agriculture. Agrobacterium‐, biolistic bombardment‐, electroporation‐, and poly(ethylene glycol) (PEG)‐mediated genetic‐transformation systems are extensively used in plant genetic engineering. However, these systems have limitations, including species dependency, destruction of plant tissues, low transformation efficiency, and high cost. Recently, nanotechnology‐based gene‐delivery methods have been developed for plant genetic transformation. This nanostrategy shows excellent transformation efficiency, good biocompatibility, adequate protection of exogenous nucleic acids, and the potential for plant regeneration. However, the nanomaterial‐mediated gene‐delivery system in plants is still in its infancy, and there are many challenges for its broad applications. Herein, the conventional genetic transformation techniques used in plants are briefly discussed. After that, the progress in the development of nanomaterial‐based gene‐delivery systems is considered. CRISPR‐Cas‐mediated genome editing and its combined applications with plant nanotechnology are also discussed. The conceptual innovations, methods, and practical applications of nanomaterial‐mediated genetic transformation summarized herein will be beneficial for promoting plant genetic engineering in modern agriculture.
Biomembrane‐Functionalized Micromotors: Biocompatible Active Devices for Diverse Biomedical Applications
Authors: Zhang Fangyu , Mundaca‐Uribe Rodolfo , Askarinam Nelly , Li Zhengxing , Gao Weiwei , Zhang Liangfang , Wang Joseph 
Published: October 2021

AbstractThere has been considerable interest in developing synthetic micromotors with biofunctional, versatile, and adaptive capabilities for biomedical applications. In this perspective, cell membrane‐functionalized micromotors emerge as an attractive platform. This new class of micromotors demonstrates enhanced propulsion and compelling performance in complex biological environments, making them suitable for various in vivo applications, including drug delivery, detoxification, immune modulation, and phototherapy. This article reviews various proof‐of‐concept studies based on different micromotor designs and cell membrane coatings in these areas. The review focuses on the motor structure and performance relationship and highlights how cell membrane functionalization overcomes the obstacles faced by traditional synthetic micromotors while imparting them with unique capabilities. Overall, the cell membrane‐functionalized micromotors are expected to advance micromotor research and facilitate its translation towards practical uses.
Metal‐Ion Oligomerization Inside Electrified Carbon Micropores and its Effect on Capacitive Charge Storage
Authors: Wei Jiaqi , Zhong Lixiang , Xia Huarong , Lv Zhisheng , Diao Caozheng , Zhang Wei , Li Xing , Du Yonghua , Xi Shibo , Salanne Mathieu , Chen Xiaodong , Li Shuzhou 
Published: October 2021

AbstractIon adsorption inside electrified carbon micropores is pivotal for the operation of supercapacitors. Depending on the electrolyte, two main mechanisms have been identified so far, the desolvation of ions in solvents and the formation of superionic states in ionic liquids. Here, it is shown that upon confinement inside negatively charged micropores, transition‐metal cations dissolved in water associate to form oligomer species. They are identified using in situ X‐ray absorption spectroscopy. The cations associate one with each other via hydroxo bridging, forming ionic oligomers under the synergic effect of spatial confinement and Coulombic screening. The oligomers display sluggish dissociation kinetics and accumulate upon cycling, which leads to supercapacitor capacitance fading. They may be dissolved by applying a positive potential, so an intermittent reverse cycling strategy is proposed to periodically evacuate micropores and revivify the capacitance. These results reveal new insights into ion adsorption and structural evolution with their effects on the electrochemical performance, providing guidelines for designing advanced supercapacitors.
Green Photothermal Ink for 0D to 3D Solar‐Driven Devices
Authors: Chen Honglei , Shen Ting , Li Yu‐Tang , Chen Xiaolan , Yang Hao‐Cheng , Li Weihua 
Published: October 2021

AbstractPhotothermal materials as well as their forms and structures play a crucial role in the performance and applications of solar‐driven devices. There is a growing demand for low‐cost, easy‐to‐shape, and eco‐friendly photothermal materials to meet sustainable development. Therefore, a green photothermal ink with excellent photothermal capacity and highly accessible via Chinese ink and alginate is proposed. This photothermal ink can be easily fabricated and shaped into 0D to 3D (e.g., granules, fibers, films/felts, and sponges) solar‐driven devices by simple processes. Among them, the photothermal sponge displays excellent evaporation performance in solar desalination with an evaporation rate of 1.44 kg m−2 h−1 under one solar irradiation. The photothermal felt can accelerate ice melting and absorb the melted ice and prevent the substrate from freezing again. The photothermal granules can capture the moisture from the humid air and release the absorbed water under sunlight. The present photothermal ink provides a good strategy for solar‐driven devices in different practical applications.
Comparative anatomy and genetic bases of fruit development in selected Rubiaceae (Gentianales)
Authors: Salazar‐Duque Héctor , Alzate Juan F. , Urrea Trujillo Aura , Ferrándiz Cristina , Pabón‐Mora Natalia 
Published: October 2021

AbstractPremiseThe Rubiaceae are ideal for studying the diversity of fruits that develop from flowers with inferior ovary. We aimed to identify morpho‐anatomical changes during fruit development that distinguish those derived from the carpel versus the extra‐carpellary tissues. In addition, we present the fruit genetic core regulatory network in selected Rubiaceae species and compare it in terms of copy number and expression patterns to model core eudicots in the Brassicaceae and the Solanaceae.MethodsWe used light microscopy to follow morphoanatomical changes in four selected species with different fruit types. We generated reference transcriptomes for seven selected Rubiaceae species and isolated homologs of major transcription factors involved in fruit development histogenesis, assessed their homology, identified conserved and new protein motifs, and evaluated their expression in three species with different fruit types.ResultsOur studies revealed ovary‐derived pericarp tissues versus floral‐cup‐derived epicarp tissues. Gene evolution analyses of FRUITFULL, SHATTERPROOF, ALCATRAZ, INDEHISCENT and REPLUMLESS homologs suggest that the gene complement in Rubiaceae is simpler compared to that in Brassicaceae or Solanaceae. Expression patterns of targeted genes vary in response to the fruit type and the developmental stage evaluated.ConclusionsMorphologically similar fruits can have different anatomies as a result of convergent tissues developed from the epicarps covering the anatomical changes from the pericarps. Expression analyses suggest that the fruit patterning regulatory network established in model core eudicots cannot be extrapolated to asterids with inferior ovaries.
Muscle attachment sites and behavioral reconstruction: An experimental test of muscle‐bone structural response to habitual activity
Authors: Turcotte Cassandra M. , Rabey Karyne N. , Green David J. , McFarlin Shannon C. 
Published: October 2021

AbstractObjectiveBehavioral reconstruction from muscle attachment sites (entheses) is a common practice in anthropology. However, experimental evidence provides mixed support for the assumed association between enthesis size and shape with changes in habitual activity. In this study, a laboratory mouse model was used to experimentally test whether activity level and type alters muscle architecture and the underlying bone cross‐sectional geometry of entheses in order to assess the underlying assumption that behavioral changes lead to quantifiable differences in both muscle and enthesis morphology.Materials and MethodsFemale wild‐type mice were separated into one control group and two experimentally increased activity groups (running, climbing) over an 11‐week study period. At the start of the experiment, half of the mice were 4 weeks and half were 7 weeks of age. The postmortem deltoideus and biceps brachii muscles were measured for potential force production (physiological cross‐sectional area) and potential muscle excursion (fiber length). Bone cross‐sectional geometry variables were measured from microCT scans of the humerus and radius at the enthesis and non‐enthesis regions of interest across activity groups.ResultsActivity level and type altered potential force production and potential muscle excursion of both muscles in the younger cohort. We observed differences in cortical bone geometry in both the humerus enthesis and radius non‐enthesis region driven exclusively among the younger wheel‐running mice.DiscussionThese results indicate that in addition to muscle architectural changes, bone structural properties at the enthesis do show an adaptive response to increased activity, such as running but only during earlier development. However, further research is required in order to apply these findings to the reconstruction of living behavior from anthropological specimens.