La presencia del arabismo en la antroponimia hispánica contemporánea

En esta tesis hemos llevado a cabo un trabajo de investigación a partir de la formación de dos corpus: el primero sobre los apellidos hispánicos procedentes de arabismos y el segundo sobre los nombres personales –nombres de pila– de origen arábigo en la antroponimia hispánica contemporánea. Todo ello, con el fin de mostrar la huella arábiga en la onomástica hispánica actual y el estudio de la onomástica como reflejo de la historia social. Además, hemos realizado un análisis de los rasgos principales de los elementos constituyentes de estos corpus y su comparación con sus equivalentes románicos, contrastando los sistemas onomásticos árabe e hispánico y su evolución.A nuestro parecer, aunque últimamente disponemos de importantes estudios sobre el tema, principalmente en el ámbito de la antroponimia románica, cuyos autores pertenecen al equipo PatRom; no se ha prestado la atención que merece el elemento árabe en los dominios iberorrománicos. Este estudio no es solo un trabajo de recopilación, sino también un intento de avanzar en el conocimiento de la etimología de algunos antropónimos en relación con el contexto histórico en el que se producen las principales aportaciones del árabe a la antroponimia hispánica y a la onomástica en general. Para estos fines, hemos divido el estudio en dos partes principales..

The Influence of Serum Leptin Level and Body Mass Index on the Prognosis of Patients with Diffuse Large B Cell Lymphoma

Background: More research is ongoing on obesity as a risk factor for cancer occurrence.Cell of origin (COO), stage and National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) are frequently used for risk evaluation and treatment tailoring in patients with Diffuse large B-cell lymphoma (DLBCL). Relatively, few studies assessed the prognostic role of obesity and leptin level in patients with DLBCL. Aim: The aim of this study was to investigate the effect of obesity and leptin level on response and prognosis in DLBCL. Methods: A single institution prospective study that included patients with DLBCL. For each patient, demographic data, body mass index (BMI), serum leptin level by ELISA, response and survival were determined. Results: Seventeen (24.3%) out of the 70 patients in our cohort were classified as obese (BMI>30). They had a higher serum leptin level (p < 0.001) and less response to R-CHOP chemotherapy (P= 0.003). Forty (57.14%) patients had elevated serum leptin level with B symptoms, Cell of origin and response to chemotherapy were significantly different between the two groups.  There was no significant relationship between BMI and survival. On the other hand, higher serum leptin was associated with worse disease-free survival (p=0.035). Conclusion: The results support a relationship between both BMI and serum leptin level and response to treatment in DLBCL patients. Leptin level like other common prognostic factors is related to disease-free survival

Signaling mechanisms of a water soluble curcumin derivative in experimental type 1 diabetes with cardiomyopathy

BACKGROUND: Curcumin exhibits anti-diabetic activities, induces heme-oxygenase-1 (HO-1) and is an inhibitor of transcriptional co-activator p300. A novel water soluble curcumin derivative (NCD) has been developed to overcome low invivo bioavailability of curcumin. We evaluated the effect of the NCD on signaling mechanisms involved in cardiomyocyte hypertrophy and studied whether its action is mediated via inducible HO-1. MATERIALS AND METHODS: Rats were divided into controls, controls receiving NCD, diabetic, diabetic receiving NCD, diabetic receiving pure curcumin, diabetic receiving HO inhibitor, zinc protoporphyrin IX (ZnPP IX) and diabetic receiving NCD and ZnPP IX. NCD and curcumin were given orally. After 45 days, cardiac physiologic parameters, plasma glucose, insulin, glycated hemoglobin (GHb), HO-1 gene expression and HO activity in pancreas and cardiac tissues were assessed. Gene expression of p300, atrial natriuretic peptide (ANP) and myocyte enhancer factor 2 (MEF2A and MEF2C) were studied. RESULTS: NCD and curcumin decreased plasma glucose, GHb and increased insulin levels significantly in diabetic rats. This action may be partially mediated by induction of HO-1 gene. HO-1 gene expression and HO activity were significantly increased in diabetic heart and pancreas. Diabetes upregulated the expression of ANP, MEF2A, MEF2C and p300. NCD and curcumin prevented diabetes-induced upregulation of these parameters and improved left ventricular function. The effect of the NCD was better than the same dose of curcumin

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

El arabismo antroponímico femenino de transmisión literaria (Romanticismo y Modernismo)

This article deals with the variation and richness of anthroponymic repertoire thanks to new incorporations and traditional and new tendencies when a name is given to a newborn, as well as the motivations behind these tendencies. Since some names fall into disuse and other old-fashioned ones are recovered and become more common, we have selected six first names of Arabic origin and their variants to study the causes of their conservation and their presence in the onomastic framework. Statistical analysis has been possible with the help of various sources: those offered by the Instituto Nacional de Estadística (INE), and also the Corpus Diacrónico del español (CORDE), the Corpus de Referencia del Español Actual (CREA) and the Corpus del Nuevo diccionario histórico del español (CDH). There may be two popular origins for these names: on the one side, literature, especially the romantic novel and lyric theatre and on the other, religion, since by way of Christian dedications to the Virgen Mary, many of the feminine anthroponyms of Arabic origin became wide spread. All of this confirms the relationship and the contact between the two languages of Arabic and Spanish, as well as the heterogeneity and the presence of feminine Arabisms in the Spanish anthroponymic repertoire.Este artículo trata la variación y la riqueza del repertorio antroponímico gracias a las nuevas incorporaciones y las tendencias tradicional e innovadora a la hora de elegir un nombre para denominar a un recién nacido y la motivación de estas tendencias. Debido a que algunos nombres caen en desuso y otros antiguos se recuperan y se hacen frecuentes, hemos elegidos 6 nombres de pila de origen árabe y sus variantes para estudiar las causas de su conservación y presencia en el elenco onomástico. El análisis estadístico ha sido posible gracias a la ayuda de varias fuentes: las que ofrece el Instituto Nacional de Estadística (INE), y también el Corpus Diacrónico del español (CORDE), el Corpus de Referencia del Español Actual (CREA) y el Corpus del Nuevo diccionario histórico del español (CDH). Dos podrían ser los orígenes de la popularidad de estos nombres: por una parte la literatura, especialmente la novela romántica y el teatro lírico, y por otra la religión, pues a través de las advocaciones marianas cristianas se difundieron muchos de los antropónimos femeninos de origen árabe. Todo ello confirma la relación y el contacto entre las dos lenguas: árabe y español, así como la heterogeneidad y la presencia de arabismos femeninos en el repertorio antroponímico hispánico

Comparing VFA Composition, Biomethane Potential, and Methane Production Kinetics of Different Substrates for Anaerobic Fermentation and Digestion

Solid waste is one of the largest sources of greenhouse gases (GHGs) today. The carbon footprint of landfills also has a large impact on global warming. Therefore, it is becoming more urgent to study the possibility of better environmentally friendly approaches for solid waste management and its safe disposal. The digestion of solid waste is a biological process that breaks down the organic content of the solid waste and thus stabilizes it. It also allows the recovery of valuable resources (such as biogas) and the utilization of stabilized waste in various industries. In this study, six substrates were studied to determine their biomethane potential (BMP) in anaerobic digestion. The substrates were fermented and digested anaerobically, and the biogas production was measured. The methane yield of food waste substrates had a higher methane yield between 354 and 347 mL/g-TCOD, and a biodegradability of 89&ndash;87%. Wastewater sludge substrates yielded between 324 and 288 mL/g-TCOD with a biodegradability of 81&ndash;73%. A kinetics analysis using first-order and Gompertz models was performed for biodegradation and methane production

Comparing VFA Composition, Biomethane Potential, and Methane Production Kinetics of Different Substrates for Anaerobic Fermentation and Digestion

Solid waste is one of the largest sources of greenhouse gases (GHGs) today. The carbon footprint of landfills also has a large impact on global warming. Therefore, it is becoming more urgent to study the possibility of better environmentally friendly approaches for solid waste management and its safe disposal. The digestion of solid waste is a biological process that breaks down the organic content of the solid waste and thus stabilizes it. It also allows the recovery of valuable resources (such as biogas) and the utilization of stabilized waste in various industries. In this study, six substrates were studied to determine their biomethane potential (BMP) in anaerobic digestion. The substrates were fermented and digested anaerobically, and the biogas production was measured. The methane yield of food waste substrates had a higher methane yield between 354 and 347 mL/g-TCOD, and a biodegradability of 89–87%. Wastewater sludge substrates yielded between 324 and 288 mL/g-TCOD with a biodegradability of 81–73%. A kinetics analysis using first-order and Gompertz models was performed for biodegradation and methane production

A Hierarchical Deep Learning-Based Intrusion Detection Architecture for Clustered Internet of Things

The Internet of Things (IoT) system’s ever-expanding attack surface calls for a new intrusion detection system (IDS). These systems may include thousands of wireless devices that need to be protected from cyberattacks. Recent research efforts used machine learning to analyze and identify various attacks and abnormal behavior on IoT systems. Most of these techniques are characterized by low accuracy and they do not scale to today’s IoT-enabled smart cities applications. This article proposes a secure automatic two-levels intrusion detection system (SATIDS) which utilizes the minimum redundancy maximum relevance (MRMR) feature selection technique and an enhanced version of long short-term memory (LSTM) based on an artificial recurrent neural network (RNN) to enhance the IDS performance. SATIDS aims at detecting traffic anomalies with greater accuracy while also reducing the time it takes to perform this task. The proposed algorithm was trained and evaluated using two of the most recent datasets based on realistic data: ToN-IoT and InSDN datasets. The performance analysis of the proposed system proves that it can differentiate between attacks and normal traffic, identify the attack category, and finally define the type of sub-attack with high accuracy. Comparing the performance of the proposed system with the existing IDSs reveals that it outperforms its best rivals from the literature in detecting many types of attacks. It improves accuracy, detection rates, F1-score, and precision. Using 500 hidden and two LSTM layers achieves accuracy of 97.5%, precision of 98.4%, detection rate of 97.9%, and F1-score of 98.05% on ToN-IoT dataset, and precision of 99%, detection rate of 99.6%, and F1-score of 99.3% on InSDN dataset. Finally, SATIDS was applied to an IoT network which utilizes the energy harvesting real-time routing protocol (EHRT). EHRT optimizes the low-energy adaptive clustering hierarchy (LEACH) routing technique using a modified artificial fish swarm algorithm. The integration between the optimized LEACH and the proposed IDS enhances the network lifetime, energy consumption, and security

A Hierarchical Deep Learning-Based Intrusion Detection Architecture for Clustered Internet of Things

The Internet of Things (IoT) system&rsquo;s ever-expanding attack surface calls for a new intrusion detection system (IDS). These systems may include thousands of wireless devices that need to be protected from cyberattacks. Recent research efforts used machine learning to analyze and identify various attacks and abnormal behavior on IoT systems. Most of these techniques are characterized by low accuracy and they do not scale to today&rsquo;s IoT-enabled smart cities applications. This article proposes a secure automatic two-levels intrusion detection system (SATIDS) which utilizes the minimum redundancy maximum relevance (MRMR) feature selection technique and an enhanced version of long short-term memory (LSTM) based on an artificial recurrent neural network (RNN) to enhance the IDS performance. SATIDS aims at detecting traffic anomalies with greater accuracy while also reducing the time it takes to perform this task. The proposed algorithm was trained and evaluated using two of the most recent datasets based on realistic data: ToN-IoT and InSDN datasets. The performance analysis of the proposed system proves that it can differentiate between attacks and normal traffic, identify the attack category, and finally define the type of sub-attack with high accuracy. Comparing the performance of the proposed system with the existing IDSs reveals that it outperforms its best rivals from the literature in detecting many types of attacks. It improves accuracy, detection rates, F1-score, and precision. Using 500 hidden and two LSTM layers achieves accuracy of 97.5%, precision of 98.4%, detection rate of 97.9%, and F1-score of 98.05% on ToN-IoT dataset, and precision of 99%, detection rate of 99.6%, and F1-score of 99.3% on InSDN dataset. Finally, SATIDS was applied to an IoT network which utilizes the energy harvesting real-time routing protocol (EHRT). EHRT optimizes the low-energy adaptive clustering hierarchy (LEACH) routing technique using a modified artificial fish swarm algorithm. The integration between the optimized LEACH and the proposed IDS enhances the network lifetime, energy consumption, and security

Molecular Typing of Virulence and Antimicrobial Resistance Genes with Mutation Tracking of gyrA Gene of Fluoroquinolone-Resistant Strains of Campylobacter Isolated from Broiler Chickens

 Campylobacter is the most common bacterial cause of gastroenteritis globally. A total of 182 fully identified strains of Campylobacter species (42 C. coli and 140 C. jejuni) collected from 6 broiler farms were subjected to studying the antimicrobial resistance pattern and molecular typing of virulence (cadF, ctdA, dnaJ waaC,iam, and fla) and antimicrobial resistance genes (blaOXA-61, gyrA, tetA, tetO, and IR) with sequencing of gyrA region of one strain of fluroquinolones resistant C. coli and C. jejuni. The identified isolates were highly resistant to erythromycin and sulfamethoxazole-trimethoprim. Furthermore, both meropenem and imipenem were effective against the recovered isolates. The tested C. jejuni and C. coli strains had 100%, 83.3%, and 83.3% prevalence of cadF, ctdA, and dnaJ virulence genes, respectively, while waaC, iam, and fla genes couldn’t be detected. The blaOXA-61 resistance gene was found in all of the Campylobacter spp. examined. Furthermore, gyrA, tetA, tetO, and IR resistance genes were found in 100%, 83.3%, 83.3%, and 66.7% of the retrieved C. jejuni strains, respectively.  Likewise, resistance genes were found in 83.3%, 83.3%, 83.3%, and 66.7% of the retrieved C. coli strains, respectively. Approximately 58% (7/12) of the Campylobacter spp. recovered were MDR. Furthermore, 50% (3/6) of the C. jejuni strains recovered were MDR, while 66.7% (4/6) of the C. coli isolates recovered were MDR with MARI(0.22-0.55). For detection of mutations of the gyrA gene, the sequence data of two isolates (C. jejuni and C.coli) were analyzed against the reference sequence on the gene bank where the C. jejuni strain had six mutations, while the C. coli strain had twenty-three. The current findings suggest that MDR Campylobacter strains in poultry may be able to transmit highly virulent Campylobacter as a foodborne pathogen