bluuebunny/crossref_metadata_2025 huggingface dataset:
CDK4/6 Inhibitor Resistance in Hormone Receptor-Positive Metastatic Breast Cancer: Translational Research, clinical trials, and Future Directions
Authors: Lee Jin Sun , Hackbart Hannah , Cui Xiaojiang , Yuan Yuan
Published: June 2023

The emergence of CDK4/6 inhibitors, such as palbociclib, ribociclib, and abemaciclib, has revolutionized the treatment landscape for hormone receptor-positive breast cancer. These agents have demonstrated significant clinical benefits in terms of both progression-free survival and overall survival. However, resistance to CDK4/6 inhibitors remains a challenge, limiting their long-term efficacy. Understanding the complex mechanisms driving resistance is crucial for the development of novel therapeutic strategies and improvement of patient outcomes. Translational research efforts, such as preclinical models and biomarker studies, offer valuable insight into resistance mechanisms and may guide the identification of novel combination therapies. This review paper aims to outline the reported mechanisms underlying CDK4/6 inhibitor resistance, drawing insights from both clinical data and translational research in order to help direct the future of treatment for hormone receptor positive metastatic breast cancer.
A Novel Hybrid CSP-PV Power Plant Based on Brayton Supercritical CO2 Thermal Machines
Authors: Linares José Ignacio , Martín-Colino Arturo , Arenas Eva , Montes Pita María José , Cantizano Alexis , Pérez-Domínguez José Rubén
Published: June 2023

A novel hybrid CSP-PV power plant is presented. Instead of the integration used in current hybrid power plants, where part of the PV production is charged into the thermal energy storage system through electrical resistors, the proposed system integrates both PV and thermal solar fields using a high-temperature heat pump. Both the heat pump and the heat engine are based on Brayton supercritical CO2 thermodynamic cycles. Such integration allows for charging the molten salts storage as if a central tower receiver field supplied the thermal energy, whereas parabolic trough collectors are employed. Unlike conventional hybrid plants, where the storage of PV production leads to a decrease in power injected into the grid throughout the day, the power injected by the proposed system remains constant. The heat engine efficiency is 44.4%, and the COP is 2.32. The LCOE for a 50 MWe plant with up to 12 hours of storage capacity is 171 $/MWh, which is lower than that of existing CSP power plants with comparable performance. Although the cost is higher compared to a PV plant with batteries, this hybrid system offers two significant advantages: it eliminates the consumption of critical raw materials in batteries, and all the electricity produced comes from a synchronous machine.
Multistage Quality Prediction Using Neural Networks in Discrete Manufacturing Systems
Authors: Li Ruidong , Wang Xiancheng , Wang Zeng
Published: June 2023

The deployment of a manufacturing execution system (MES) holds promising potential in facilitating the accumulation of a substantial amount of inspection data. Low quality levels in discrete manufacturing environments are the result of multi-factor coupling and failure to find quality issues in a timely manner within manufacturing settings may trigger the propagation of defects downstream. Currently, most of the inspection quality methods are direct measurement followed by manual judgment. The integration of deep learning methods provides a feasible way to identify defects in a timely manner, thus improving the acceptance rate of factories. This paper focuses on the design of a data-driven quality prediction and control model around discrete manufacturing characteristics, and use fuzzy theory to evaluate the quality level of production stages. Building Multivariate Long and short-term memory learning hidden quality representations to extract predictions from multi-level inspection data in manufacturing systems. Finally, by validating the data of actual produced water dispensers according to three evaluation indexes, RMSE, MAE, MAPE, the results show that Multivariate Long and short-term memory has better prediction performance.
Optimization of the Decision Criterion for Increasing the Bandwidth Utilization by Means of the Novel Effective DBA Algorithm in NG-PON2 Networks
Authors: Róka Rastislav
Published: June 2023

In this paper, possibilities for the bandwidth and wavelength utilization in future next-generation passive optical networks are presented and reasons for realizing and utilizing of extended dynamic wavelength and bandwidth algorithms for NG-PON2 networks are analyzed. Next, principles of the effective dynamic bandwidth allocation are introduced in details, focused on the importance of the decision criterion optimization. For achieving better bandwidth utilization of dedicated wavelengths, this paper is focused on the novel effective dynamic bandwidth allocation algorithm with adaptive allocation of wavelengths to ONU units and on the optimization of the decision criterion. For analyzing the novel extended DWBA algorithm utilizing for various wavelength allocation cases possible in NG-PON2 networks, a simulation program with the enhancement of the EDBA algorithm is realized. Finally, an optimization of the decision criterion defining a minimum bandwidth utilization of the actual wavelength is executed for NG-PON2 networks based on the hybrid TWDM technique.
Etiology of Idiopathic Macular Hole in the Light of Estrogen Hormone
Authors: Wergenthaler Nousal , Dick H. Burkhard , Tsai Teresa , Joachim Stephanie C
Published: June 2023

The aim of this review was to identify a new potential reason for the development of macular holes in relation to the female sex and to explain the possible underlying pathway. This approach was based on the evaluation of anatomical, physiological, and morphological analyses currently available in the literature. The findings showed that estrogen exerts a protective effect on the neuroretina. However, this protection may be lost by sudden decrease in estrogen levels during menopause. A gen analysis in zebra fish showed that estrogen may influence Müller and cone cells. Both cell types are responsible for the binding of the fovea structure. Cone implicit time in full-field 30-Hz flicker electroretinography is a predictor of visual outcome after surgery for macular hole. In conclusion, the fovea cone, through its sensibility to estrogen and high energy consumption, may be very vulnerable to damage caused by a sudden change in the concentration of estrogen in menopausal females. Such changes may result in cone degeneration and the development of a hole in the fovea, as in the case of macular holes. This review revealed that the cone under the decreasing influence of estrogen may play a key role with regards to the etiology of development of macular hole. This aspect may be of strategic importance in prophylactic therapy for the prevention of the development of macular hole in premenopausal females or after ocular trauma.
Efficiency Assessment between Entrapment and Covalent Bond Immobilization of Mutant β-Xylosidase onto Chitosan Support
Authors: Romero B. Gabriela , Contreras Lellys M. , Carolina Aguirre , Jeff Wilkesman , Clemente-Jiménez Josefa María , Rodríguez-Vico Felipe , Las Heras-Vázquez Francisco Javier
Published: June 2023

Enzyme immobilization is known to enhance polypeptide resistance towards environmental changes, particularly in terms of their stability. The Y509E mutant of β-xylosidase from Geobacil-lus stearothermophilus (XynB2Y509E) (which also bears xylanase activity) has been immobilized in chitosan spheres through either entrapment or covalent bond formation methods. In the immo-bilization by entrapment, besides observing a total loss of xylanase activity, it was found that chitosan concentration affects the process efficiency. Additionally, the maturation time of the spheres and the alkaline pH used to precipitate the spheres affect the β-xylosidase activity of the enzyme. In covalent bond immobilization, it was found that the pH during the modification with glutaraldehyde, as well as the subsequent protein binding, were key factors in preserving the dual enzymatic activity. The activity expressed after immobilization by covalent bonding was 23% higher compared to the activity expressed following entrapment immobilization, with values of 122.3 and 99.4 U. g-1, respectively. Both biocatalysts showed increased thermal and pH stability, along with an improved storage capacity, as they retained 40% and 88% of their activi-ty after being stored at 4 C for two months. Moreover, XynB2Y509E immobilized by covalent binding also exhibited outstanding reusability, retaining a 92% of activity after ten cycles of re-use.
Inoculants for Plant Drought Stress Tolerance: Mechanisms and Applications
Authors: Prisa Domenico , Fresco Roberto
Published: June 2023

The climate and its changes are major risk factors for agricultural activities because agricultural systems are highly affected by climatic factors such as temperature, rain, humidity, wind, and solar radiation. While some agricultural areas of the world are irrigated, the vast majority rely on natural rainfall patterns. Farmers will consume more water as a result of climate change and experience less water availability, resulting in a decrease in production capacity. As one of the most important natural phenomena affecting agricultural productivity, drought is a limiting environment for plant growth. The response of plants to water stress is complex and involves coordination between gene expression and its integration with hormones. It has been shown that bacteria have mechanisms to reduce water stress in these plant species and promote greater growth. The underlined mechanism involves root-to-shoot phenotypic changes in growth rate, architecture, hydraulic conductivity, water conservation, plant cell protection, and damage restoration through integrating phytohormones modulation, stress-induced enzymatic apparatus, and metabolites. This review demonstrates how plant growth-promoting bacteria can mitigate negative effects associated with water stress in plants and provide examples of technology conversion in agroecosystems.
Prescribed-vs.-Taken Polypharmacy and Drug-Drug Interactions in Older Cardiovascular Patients: Observational Cross-Sectional Analytical Study
Authors: Anfinogenova Nina D. , Novikova Oksana M. , Trubacheva Irina A. , Efimova Elena V. , Chesalov Nazary P. , Ussov Wladimir Y. , Maksimova Aleksandra S. , Shelkovnikova Tatiana A. , Ryumshina Nadezhda I. , Trubacheva Irina A. , Popov Sergey V. , Repin Alexei N.
Published: June 2023

The study aimed to identify clinical pharmacology patterns of prescribed and taken medications in older cardiovascular patients using electronic health records (EHRs) (n = 704) (2019–2022). Medscape Drug Interaction Checker was used to identify pairwise drug-drug interactions (DDIs). Prevalence rates of DDIs were 73.5% and 68.5% among taken and prescribed drugs, respectively. However, total number of DDIs was significantly higher among prescribed medications compared with the list of taken drugs (p < 0.05). Serious DDIs comprised 16% and 7% of all DDIs among prescribed and taken medications, correspondingly (p < 0.05). Median DDI numbers between prescribed versus taken medications were Me = 2, IQR 0-7 and Me = 3, IQR 0-7 per record, respectively. Prevalence of polypharmacy was significantly higher among prescribed medications compared with taken medications (p < 0.05). Women were taking significantly more drugs and had higher rates of polypharmacy and DDIs (p < 0.05). No sex-related differences were observed in the list of prescribed medications. ICD code U07.1 (COVID-19, virus identified) was associated with the highest median DDI number per record. Further research is warranted to improve EHR structure, patient engagement in reporting adverse drug reactions, and genetic profiling of patients to avoid potentially serious DDIs.
Feedback Trading, Investor Sentiment and the Volatility Puzzle:An Infinite Theoretical Framework
Authors: Chen Cong , Hu Changsheng
Published: June 2023

Feedback trading theory is one of the most primitive theories about financial market. But for a long time，researches and modelings on this topic are rarely seen. The model in this paper shows the effects of sentiment shocks on asset prices in a market characterized by feedback trading in the long run. We find that，generally，feedback trading will lead to cognitive bias effect and trading inducement effect. Cognitive bias effect increases with the feedback trading parameter ( FTP) . In our model，the abnormal volatility of asset prices is captured by cognitive bias effect，sentiment shock effect and trading inducement effect．
Numerical Assessment of Flow Energy Harvesting Potential in a Micro-channel
Authors: Koubogiannis Dimitrios G. , Benetatos Marios Vasileios N.
Published: June 2023

A micro energy harvesting device proposed in the literature, is numerically studied. It consists of two bluff bodies in a micro-channel and a flexible diaphragm at its upper wall. Vortex shedding behind bodies induces pressure fluctuation causing vibration of the diaphragm that converts me-chanical energy to electrical by means of a piezoelectric membrane. Research on enhancing vortex shedding is justified due to the low power output of the device. Amplitude and frequency of un-steady pressure fluctuation on the diaphragm center are numerically predicted. Vortex shedding severity is mainly assessed in terms of pressure amplitude. The CFD model set-up is described in detail and appropriate metrics to assess energy harvesting potential are defined. Several cases are simulated to study the effect of inlet Reynolds number and channel blockage ratio on the prospec-tive performance of the device. Furthermore, the critical blockage ratio leading to vortex shedding suppression is sought. Higher inlet velocity for a constant blockage ratio is found to enhance vor-tex shedding and pressure drop. Great blockage ratio values, but lower than the critical one, seem to provide great pressure amplitudes in the expense of moderate pressure drop. There is evidence that the field is fruitful for research and relevant directions are provided.
Bioresponsive Gelatin-Hyaluronic Acid Hydrogels for 3D Bioprinting
Authors: Khatun Mst Rita , Bhattacharyya Amitava , Gunbayar Maral , Jung Minsik , Noh Insup
Published: June 2023

Development of bioresponsive extrudable hydrogels for 3D bioprinting is imperative to address the growing demand for scaffold design and efficient and reliable methods of tissue engineering and regenerative medicine. This study proposed genipin-crosslinked gelatin-hyaluronic acid hydrogel bioink with different amounts of gelatin tailored for 3D bioprinting, focusing on high cell density loading and less artificial extra-cellular matrix (ECM) effect, as well as exploring their potential applications in tissue engineering. The bioresponsiveness of these hydrogel scaffolds was successfully evaluated in different physiological conditions. 3D and four-axis printing of complex structures such as shapes of hollow tube, star, pyramid, and four-axis tubular scaffolds prove the hydrogel’s high extrusion ability and post-printing shape fidelity. Cytocompatibility and high cell density 3D bioprinting using this moderately stable hydrogel exhibit high potential for precise cell-delivery modes in tissue engineering as well as regenerative medicine.
Synergistic Effects of LSPR, SPP, and Waveguide Plasmonic Resonance on the Same Material: A Promising Hypothesis to Enhanced Organic Solar Cells Efficiency
Authors: IBRAHIM ZAMKOYE Issoufou , LUCAS Bruno , VEDRAINE Sylvain
Published: June 2023

In this work we explore the utilization of plasmonic resonance (PR) in silver nanowires to enhance the performance of organic solar cells. Plasmonic resonance is a phenomenon in which nanoscale conductive materials exhibit oscillation of conduction electrons, resulting in the creation of an electric field. Enhancing light absorption is crucial for improving organic solar cell efficiency and incorporating metallic nanostructures to induce surface plasmon resonance (SPR) shows promise in achieving this goal. We discuss the two key mechanisms of plasmonic effects: far-field scattering and near-field resonance modes. Far-field scattering extends the optical path of incident light, while near-field plasmonic effects involve localized surface plasmon resonance (LSPR) and plasmonic cavity modes, enhancing absorption by strengthening electric fields near the nanostructures. Silver nanowires are the focus of this study, and finite-difference time-domain (FDTD) simulation software is used to investigate their plasmonic resonance behavior in a ZnO/Silver nanowires/ZnO (ZAZ) electrode structure. The simulations reveal the dominance of LSPR in this configuration, with intense electric fields inside the nanowire and propagation into the surrounding medium, offering opportunities for enhanced light absorption in the organic solar cell's active layer.
Towards Action + State Process Model Discovery
Authors: Bottrighi Alessio , Guazzone Marco , Leonardi Giorgio , Montani Stefania , Striani Manuel , Terenziani Paolo
Published: June 2023

Process model discovery covers different methodologies to mine a process model from traces of process executions, and is gaining an important role in Artificial Intelligence research. Current approaches in the area, with few exceptions, focus on determining a model of the flow of actions only. However, in several contexts, (i) restricting the attention to actions is quite limitative, since the effects of such actions have to be analysed, too, and (ii) traces provide additional pieces of information, in the form of states (i.e., values of parameters possibly affected by the actions): for instance, in several medical domains traces include both actions and measurements of patients’ parameters. In this paper, we propose AS-SIM (Action-State SIM), the first approach able to mine a process model which comprehends two distinct classes of nodes, to capture both actions and states.
A New Pseudomonas aeruginosa Isolate Enhances Its Unusual 1,3-propanediol Generation from Glycerol in Bioelectrochemical System
Authors: Narcizo Julia Pereira , Mancilio Lucca Bonjy Kikuti , Pedrino Matheus , Guazzaroni María-Eugenia , De Andrade Adalgisa Rodrigues , Reginatto Valeria
Published: June 2023

The ability of some bacteria to perform Extracellular Electron Transfer (EET) has been explored in bioelectrochemical systems (BES) to obtain energy or chemicals from pure substances or residual substrates. Here, a new pyoverdine-producing Pseudomonas aeruginosa strain was isolated from a MFC biofilm oxidizing glycerol, a by-product of biodiesel production. Strain EL14 was investigated to assess its electrogenic ability and products. In an open circuit system (fermentation system) EL14 was able to consume glycerol and produce 1,3-propanediol, an unusual product from glycerol oxidation in P. aeruginosa. The microbial fuel cell (MFC), EL14 reached a current density of 82.4 mA m-2, during the first feeding cycle, then drops sharply as the biofilm falls off. Cyclic voltammetry suggests electron transfer to the anode occurrs indirectly, i.e., through a redox substance, with redox peaks at 0.22 and -0.45 V (vs Ag/AgCl) and directly probably by membrane redox-proteins with redox peak at 0.05 V (vs Ag/AgCl). EL14 produced added-value bioproducts, acetic and butyric acids, as well as 1,3 propanediol, in both fermentative and anodic conditions. However, the yield of 1,3-PDO from glycerol was enhanced from 0.57 to 0.89 (mol of 1,3-PDO mol-1 of glycerol) under MFC conditions compared with the fermentation. This result was unexpected since successful 1,3-PDO production is not usually associated with the P. aeruginosa glycerol metabolism. By comparing EL14 genomic sequences related to the 1,3-PDO biosynthesis with reference P. aeruginosa strains, we observed that strain EL14 has three copies of dhaT gene (1,3-propanediol dehydrogenase a different arrangement compared to other Pseudomonas isolates). Thus, this work functionally characterizes a bacterium never before associated to 1,3-PDO biosynthesis, indicating its potential for converting a by-product of the biodiesel industry into an emerging chemical product.
A serial dual-channel library occupancy detection system based on Faster RCNN
Authors: Yang Guoqiang , Chang Xiaowen , Wang Zitong , Yang Min , Chen Xin
Published: June 2023

The phenomenon of seat occupancy in university libraries is a prevalent issue. However, existing solutions, such as software-based seat reservations and sensors-based occupancy detection, have proven to be inadequate in effectively addressing this problem. In this study, we propose a novel approach: a serial dual-channel object detection model based on Faster RCNN. Furthermore, we develop a user-friendly web interface and mobile APP to create a computer vision-based platform for library seat occupancy detection. To construct our dataset, we combine real-world data collection with UE5 virtual reality. The results of our tests also demonstrate that the utilization of personalized virtual dataset significantly enhances the performance of the convolutional neural network (CNN) in dedicated scenarios. The serial dual-channel detection model comprises three essential steps. Firstly, we employ Faster RCNN algorithm to determine whether a seat is occupied by an individual. Subsequently, we utilize an object classification algorithm based on transfer learning, to classify and identify images of unoccupied seats. This eliminates the need for manual judgment regarding whether a person is suspected of occupying a seat. Lastly, the web interface and APP provide seat information to librarians and students respectively, enabling comprehensive services. By leveraging deep learning methodologies, this research effectively addresses the issue of seat occupancy in library systems. It significantly enhances the accuracy of seat occupancy recognition, reduces the computational resources required for training CNNs, and greatly improves the efficiency of library seat management.
Acceptance of a Text Messaging Vaccination Reminder and Recall System in Malaysia’s Healthcare Sector: Extending the Technology Acceptance Model
Authors: Karkonasasi Kamal , Cheah Yu-N , Vadiveloo Mogana , Mousavi Seyed Aliakbar
Published: June 2023

Malaysian healthcare institutions still use ineffective paper-based vaccination systems to manage childhood immunization schedules. This may lead to missed appointments, incomplete vaccinations, and outbreaks of preventable diseases among infants. To address this issue, we proposed a text messaging vaccination reminder and recall system named Virtual Health Connect (VHC) to simplify and accelerate the immunization administration for nurses that may result in improving the completion and timeliness of immunizations among infants. Considering the narrow research about the acceptance of these systems in the healthcare sector, we examined factors influencing nurses’ attitude and intention to use VHC using the extended technology acceptance model (TAM). The novelty of the conceptual model is proposing new predictors of attitude, namely, perceived compatibility and perceived privacy and security issues. We conducted a survey among 121 nurses in Malaysian government hospitals and clinics to test the model. We analyzed the collected data using partial least squares-structural equation modeling (PLS-SEM) to examine the significant factors influencing nurses’ attitude and intention to use VHC. Moreover, we applied artificial neural network (ANN) to determine the most significant factors of acceptance with higher accuracy. Therefore, we could offer more accurate insights to decision-makers in the healthcare sector for the advancement of health services. Our results highlighted that the compatibility of VHC with the current work setting of nurses developed their positive perspectives toward the system. Moreover, the nurses felt optimistic about the system when considering it to be useful and easy to use in the workplace. Finally, their attitude toward using VHC played a pivotal role in raising their intention. Based on the ANN models, we also found that perceived compatibility was the most significant factor influencing nurses' attitude towards using VHC, followed by perceived ease of use and perceived usefulness.
Market acceptance of new formulated Sundanese Nasi Liwet: How branding affecting selling of traditional culinary
Authors: Pinandoyo Dimas , Afriasih M.U.C , Ridwan Muhamad , Khubber Sucheta
Published: June 2023

This research aimed to analyze the effectiveness of new formulated Sundanese Nasi Liwet. Six new formulated Nasi Liwet had been formulated with the innovation of color and condiments. Overall acceptability was conducted. The six new formulated was sold with a different brand, namely “Milwet” with banana tree nuance, “Liwet Kuy” with mega mendung pattern, “Ngeliwet Yuk” with reddish simplicity nuance, “Ngeliwet” with reddish typography emphasis, “Pawon Indung” with Sundanese traditional jug icon, and “Ini Nasi Liwet” with simple blue nuance. It was found that market acceptance differed with overall acceptability. Despite of lowest overall acceptability, “Milwet” performed the highest market acceptance, followed “Ini Nasi Liwet”, “Ngeliwet”, “Liwet Kuy”, and “Pawon Indung”. Applying good brands could be used as an alternative to popularize traditional culinary.
Model reference adaptive system speed estimator based on type-1 and type-2 fuzzy logic sensorless control of electrical vehicle with electrical differential
Authors: Khemis A. , Boutabba T. , Drid S.
Published: June 2023

Introduction. In this paper, a new approach for estimating the speed of in-wheel electric vehicles with two independent rear drives is presented. Currently, the variable-speed induction motor replaces the DC motor drive in a wide range of applications, including electric vehicles where quick dynamic response is required. This is now possible as a result of significant improvements in the dynamic performance of electrical drives brought about by technological advancements and development in the fields of power commutation devices, digital signal processing, and, more recently, intelligent control systems. The system’s reliability and robustness are improved, and the cost, size, and upkeep requirements of the induction motor drive are reduced through control strategies without a speed sensor. Successful uses of the induction motor without a sensor have been made for medium- and high-speed operations. However, low speed instability and instability under various charge perturbation conditions continue to be serious issues in this field of study and have not yet been effectively resolved. Some application such as traction drives and cranes are required to maintain the desired level of torque down to low speed levels with uncertain load torque disturbance conditions. Speed and torque control is more important particularly in motor-in-wheel traction drive train configuration where vehicle wheel rim is directly connected to the motor shaft to control the speed and torque. Novelty of the proposed work is to improve the dynamic performance of conventional controller used of model reference adaptive system speed observer using both type-1 and type-2 fuzzy logic controllers. Purpose. In proposed scheme, the performance of the engine is being controlled, fuzzy logic controller is controlling the estimate rotor speed, and results are then compared using type-1 and type-2. Method. For a two-wheeled motorized electric vehicle, a high-performance sensorless wheel motor drive based on both type-2 and type-1 fuzzy logic controllers of the model reference adaptive control system is developed. Results. Proved that, using fuzzy logic type-2 controller the sensorless speed control of the electrical differential of electric vehicle EV observer, much better results are achieved. Practical value. The main possibility of realizing reliable and efficient electric propulsion systems based on intelligent observers (type-2 fuzzy logic) is demonstrated. The research methodology has been designed to facilitate the future experimental implementation on a digital signal processor.
Enhancing power system security using soft computing and machine learning
Authors: Venkatesh P. , Visali N.
Published: June 2023

Purpose. To guarantee proper operation of the system, the suggested method infers the loss of a single transmission line in order to calculate a contingency rating. Methods. The proposed mathematical model with the machine learning with particle swarm optimization algorithm has been used to observe the stability analysis with and without the unified power flow controller and interline power flow controller, as well as the associated costs. This allows for rapid prediction of the most affected transmission line and the location for compensation. Results. Many contingency conditions, such as the failure of a single transmission line and change in the load, are built into the power system. The single transmission line outage and load fluctuation used to determine the contingency ranking are the primary emphasis of this work. Practical value. In order to set up a safe transmission power system, the suggested stability analysis has been quite helpful.
EFFECT OF SHORTER OR LONGER EXPOSURE TO ARTIFICIAL LIGHTING OF PREGNANT MINK (NEOVISON VISON) ON THEIR REPRODUCTIVE PERFORMANCE
Authors:   Department of Animal Anatomy and Zoology, Faculty of Biotechnology and Animal Breeding, West Pomeranian University of Technology in Szczecin, Szczecin, Poland, FELSKA-BŁASZCZYK Lidia
Published: June 2023

The aim of this study was to analyze the influence of the length of the period of artificial lighting of mink on their reproductive performance. The experiment was carried out on a mink farm in West Pomerania, Poland. Reproduction data of 1068 one-year-old female mink of the silverblue strain were analyzed. All females were in selection classes 7 and 8 and were mated four times, first between the 1st and 10th of March. Females were illuminated during pregnancy with artificial light such that the light day was 17 hours per day. Females were divided into two groups – one group was illuminated from March 20 to April 17, and the other from March 20 to May 15. The following reproductive indices were analyzed in relation to the length of illumination: length of diapause and gestation, litter size, number of live-born and weaned young per litter, percentage of barren females, percentage of females dead during gestation and lactation, and average length of lactation in which females died. Artificially illuminated females were characterized by longer diapause, longer gestation, larger litters, but they had higher mortality of young during maternal nursing. It was also found that females with shorter lactation reared slightly more young, and were characterized by a lower percentage of barren females and females dying during pregnancy and lactation. The analysis conducted in this study confirmed the period of illumination of pregnant mink until April 17 is sufficient in terms of reproductive performance of the females.
MOLECULAR DIAGNOSTIC TESTS IDENTIFYING CARRIERS OF SLC3A1 AND SLC7A9 GENE MUTATIONS CAUSING CYSTINURIA IN DOMESTIC CAT-IN SILICO ANALYSIS
Authors:   Scientific Association of Experimental and Laboratory Animals, Warsaw University of Life Sciences – SGGW, Warszawa, Poland, KAŁUSKA Joanna , GRZEGRZÓŁKA Beata ,   Department of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences – SGGW, Warszawa, Poland, GRUSZCZYŃSKA Joanna ,   Department of Animal Genetics and Conservation, Institute of Animal Sciences, Warsaw University of Life Sciences – SGGW, Warszawa, Poland
Published: June 2023

Cystinuria is an inherited genetic disease associated with mutations in the SLC3A1 and SLC7A9 genes. The results of studies in cats indicate heterogeneity of the disease. So far 1 mutation in the SLC3A1 gene and 5 mutations in the SLC7A9 gene have been discovered. Cystinuria is often detected too late (later in life), when adults have already had offspring. Quick and easy diagnosis of the disease is therefore important, even before the symptoms appear. The aim of this study was to design simple diagnostic tests to detect 6 mutations that can cause feline cystinuria. Bioinformatic analysis of the linkage of SLC3A1 and SLC7A9 with other proteins was performed and attempts were made to evaluate the structural and functional changes that occur due to mutations. The following programs and databases were used in the bioinformatics analysis: Ensembl, NCBI, Primer-BLAST, NEBcutter, STRING, SWISS-MODEL, Variant Effect Predictor (VEP). The proposed primers and enzymes for PCR-RFLP and AS-PCR assays enable the identification of mutation carriers. Identified proteins interactions suggest possible links between cystinuria and the development of other diseases. This may indirectly explain the heterogeneous and complex symptoms accompanying cystinuria. A mutation in exon 5 of the SLC7A9 gene (p.Asp236Asn) causes a change in the predicted spatial conformation of the protein. Using the VEP program, the effect of all mutations on protein functionality was assessed as deleterious. It is imperative that cat breeders first perform a molecular test for the mutation of the SLC7A9 gene (exon 7 at position c.881), as previous studies have shown that this is the most common mutation.
GRAIN YIELD AND MORPHOLOGICAL CHARACTERISTICS OF SPRING TRITICALE PLANTS AS AFFECTED BY CULTIVAR AS WELL AS MULTINUTRIENT FERTILISER TYPE AND RATE
Authors:   Siedlce University of Natural Sciences and Humanities, Faculty of Agrobioengineering and Animal Husbandry, Institute of Agriculture and Horticulture, Siedlce, Poland, RZĄŻEWSKA Emilia , GĄSIOROWSKA Barbara ,   Vocational State School of IgnacyMościcki in Ciechanów, Faculty of Engineering and Economics, Ciechanów, Poland
Published: June 2023

A field experiment was conducted in Borki-Wyrki, Zbuczyn Gmina (commune), from 2017 to 2019. The objective was to assess yield performance and morphological characteristics of two spring triticale cultivars as affected by multi-nutrient fertiliser type and rate, the fertilisers being Polifoska 6 and Polifoska Krzem. Three experimental factors were tested: spring triticale cultivar – Milewo and Dublet, mineral fertiliser type – Polifoska 6 and Polifoska Krzem, and mineral fertiliser rate –0 kg∙ha−1, 140 kg∙ha−1, 280 kg∙ha−1, 420 kg∙ha−1. Spring triticale plant development and yield performance were significant affected by experimental factors, that is cultivar, fertiliser type and rate, were shown to influence these characteristics. Superior yields were produced by cv. Dublet compared with cv. Milewo. Cultivars fertilised with Polifoska Krzem produced higher grain yields than Polifoska 6. An increase in fertiliser rate was followed by higher grain yields. Spring triticale cultivar as well as multi-nutrient fertiliser type and rate significantly affected ear length. Significantly longer ears were developed by cv. Milewo. Longer ears were developed by cereal plants fertilised with Polifoska 6. Similarly, higher fertiliser rates had a beneficial effect on ear length. Fertiliser rate contributed to a significant increase in plant height compared with unamended control. Cv. Milewo plants were significantly higher than cv. Dublet plants.
CHEMICAL COMPOSITION OF ESSENTIAL OILS OF EUGENIA CARYOPHYLLA AND MENTHA SP CF PIPERITA AND THEIR IN VITRO ANTIFUNGAL ACTIVITIES ON SIX HUMAN PATHOGENIC FUNGI
Authors: Nyegue Maximilienne Ascension , NdoyÃ©-Foe Florentine Marie-Chantal , Riwom Sara Essama , Hockmeni Christelle Tembiwe , Etoa Francois-Xavier , Menut Chantal
Published: June 2023

Background: Many fungal infections are responsible for human skin damages, to control their negative action, some aromatic and medicinal plants are traditionally used by local population in Cameroon. The present study was carried out to determine the chemical composition of essential oils of Eugenia caryophylla and Mentha sp cf piperita and their antifungal activity on some human pathogenic fungi.

Materials and methods: Essential oils from Eugenia caryophylla and Mentha sp cf piperita were extracted by steam distillation using Clevenger apparatus and the antifungal activity was evaluated on six human pathogenic fungal strains; two yeasts (Candida albicans 1 and Candida albicans 2) and four dermatophytes (Tricophyton rubrum 1, T. rubrum 2, T. violaceum, and T. soudanensis) using modified broth microdilution method M27-A3 and M38-A respectively.

Results: The essential oils obtained yielded of 5.9 for Eugenia caryophylla and 0.2% Mentha sp cf piperita respectively. The chemical composition was assigned by GC and GC/SM and showed that E. caryophylla was mainly composed of eugenol (80.0 %), -caryophyllene (8.3%), and eugenol acetate (6.7%) while Mentha sp cf piperita was characterized by piperitone (67.5 %), menthol (10.0 %) and ß-phellandrene (5.8%). The result showed that essential oil of E. caryophylla exhibit the highest antifungal activity with MICs and MFC of 0.25µL/mL and 0.125µL/mL for filamentous fungi and MIC of 0.5 µL/mL for both yeast strains while MFC value was 1 µL/mL for one yeast strain and not determined for the second. MFCs Mentha sp cf piperita essential oil showed a weak activity with a MIC of 2.5 µL/mL on Tricophyton strains while no activity was exhibited on Candida albicans strains.

Conclusion: The results of this work can be used to confirm their traditional uses and can also be proposed as natural ingredients to some industries to treat superficial infections.
İzmir'in Sakız Enginarı Çiçeğinin Tezyinî Üsluplaştırma Metoduyla Yorumlanması
Authors: MAKTAL(ERBAŞ) Aynur , SALTAN Hazal
Published: June 2023

Türk tezyinatının tarih içindeki seyri incelendiğinde, “üsluplaştırma”, tüm devirler içinde ortak özellik olarak karşımıza çıkar. “Üsluplaştırma”, tabiat elemanlarının gözle görüldüğü şekliyle aktarılması değil; sanatçının hayal gücü ve becerisiyle, anatomik yapıların çizgiye dönüştürüldüğü bir çeşit grafik anlatımdır. Üsluba çekilmiş motiflerin kökeni, tabiattır. Yapılarında taşıdıkları karakteristik çizgileriyle birlikte tabiattaki isimleriyle tanımlanan “yarı üsluplaştırılmış motifler”, klasik dönemi takip eden devrede hakim üslup haline gelmiştir.
Coğrafi işaretlerin çok daha önem kazandığı günümüzde, bulunduğumuz beldeye ait sembollerin çok yönlü olarak kimliklendirilmesi, bu bağlamda kültür tarihimize mal edilmesi ayrı bir değer taşımaktadır. İzmir’in coğrafi işaretli ürünü olarak “sakız enginarı” ve çiçeğinin, tezyinatımızda “yarı üsluplaştırma” anlayışıyla yorumlanması, sadece tezyinatımıza özgün yeni modellemeler katarak sahasını zenginleştirmekle kalmayacak, çiçeği ile de tanınırlığını arttırmış olacaktır. “Sakız enginarı”nın özgün yorumları, üslup birliği içinde pek çok disiplinle bütünleşerek sürdürülebilirliğine katkı sağlayacak; kimliğinin anlamını güçlendirecektir.
Cover, Credits and Table of Contents
Authors: Littera Aperta
Published: June 2023

Cover, Credits and Table of Contents
“Al margen de Cicerón. Querido amigo”: la recepción de Cicerón en la poesía de Jorge Guillén
Authors: Molina Mellado Gema María
Published: June 2023

“Al margen de Cicerón. Querido amigo”, incluido en la sección “Al margen” de Homenaje (1967), nos invita al estudio de una manifestación de la recepción clásica en la obra poética de Jorge Guillén (1893-1984). Tras su acercamiento al tratado ciceroniano Lelius o De amicitia, el profesor-poeta desarrolla una profunda reflexión sobre la naturaleza de la amistad y las dificultades que debe afrontar, hasta llegar a la conclusión de que la amistad es uno de los valores más importantes de la vida humana. Si se ha afirmado que el grupo de poetas del 27 es la “generación de la amistad”, Jorge Guillén, como destacado miembro del grupo, es también el poeta de la amistad: de ahí que sea este el aspecto que más le interesa de Cicerón.

Palabras clave:  Jorge Guillén, Cicerón, Laelius de amicitia, Recepción Clásica, hipertextualidad.
It’s time for INGOs to stop living with their parents
Authors: Lay Thomas
Published: June 2023

Drawing on Michel Foucault’s philosophical theory of a power triangle, this paper explores the relational dynamics between International Non-Governmental Organisations (INGOs), the United Nations (UN), and sovereign states. It reflects on the emergence of multilateral aid after World War Two and how aid became institutionalised and professionalised, resulting in a relational dynamic between INGOs, the UN and Western governments that is akin to a parent and child. The paper then considers how different actors in humanitarianism occupy different power types, and the impact this will have on the relevance of INGOs in the future. It concludes with a proposition for repositioning and rethinking INGOs in the next era of aid, as part of a reidentification of their role in humanitarianism.
Adaptação de um projeto de extensão de palhaçaria na pandemia da Covid-19
Authors: Lima Artenizia Criste , De Souza Andressa Duarte , De Aguiar Guilherme Augusto Barroso , Glória Michelly Siman , Lima Karen Santos , Guelpeli Alison Cristine Pinto
Published: June 2023

O projeto de extensão “Um Sorriso Pela Vida” usa a palhaçaria para promover benefícios emocionais por meio da risoterapia a participantes externos, que são pacientes hospitalizados e indivíduos institucionalizados em um lar de longa permanência na cidade de Diamantina-MG. Além disso, incentiva o desenvolvimento de uma visão holística e uma assistência humanizada aos extensionistas, que são em grande parte acadêmicos da área da saúde na Universidade Federal dos Vales do Jequitinhonha e Mucuri (UFVJM). Em virtude do cenário de isolamento social na pandemia da Covid-19, foi necessária a adaptação das atividades do projeto para o modelo on-line provisoriamente. Assim, este trabalho objetiva relatar a experiência dos envolvidos que foram beneficiados com as intervenções nessa nova modalidade. Os relatos, referentes ao período de adaptação entre agosto de 2020 e maio de 2021, foram coletados de um total de 9 participantes, sendo 3 participantes externos e 6 extensionistas, durante o mês de maio de 2021. Como resultado, observou-se que, mesmo com um novo formato, foram gerados impactos positivos para todos os envolvidos durante esse período de atuação remota, tais como: interação social, distração, acolhimento e bem-estar geral. Isso demonstra a importância da adaptação e ilustra a outros projetos de palhaçaria que, na impossibilidade de intervirem presencialmente, existem alternativas para adaptarem suas ações para continuarem cumprindo sua função junto à comunidade.
Produção de mudas para recomposição de áreas e educação ambiental
Authors: Sartori Ivar Antonio , Panzenhagen Nestor Valtir , Duarte Moisés Mouro , Zorge Nicolle Fernanda
Published: June 2023

O presente trabalho teve por objetivos coletar sementes, identificar as espécies, propagar, quantificar e estender a sociedade espécies frutíferas e florestais do bioma da Mata Atlântica, entre os anos de 2019 e de 2022, na Unidade de Gestão Técnica do Litoral Sul de Santa Catarina. As sementes foram resgatadas de plantas espontâneas da região de estudo no decorrer dos anos, de acordo com os respectivos períodos de frutificação de cada espécie. A pesquisa extensionista-investigativa foi iniciada nos arredores da Mata Atlântica do Município de Santa Rosa do Sul. A propagação foi realizada em casa de vegetação do setor de Silvicultura do IFC – Campus Santa Rosa do Sul, localizado na comunidade de Vila Nova, no município de Santa Rosa do Sul/SC. Em parceria com instituições e em conjunto com a Direção Geral e a Coordenação de Extensão do IFC – Campus Santa Rosa do Sul, houve posterior distribuição destas espécies. A doação de mudas por meio da parceria SICCOB/CREDIJA ocorreu nas comunidades locais, rurais, escolas e órgãos públicos, sem fins lucrativos e com finalidades educacionais. Destacou-se a importância destas frutas para a comunidade, relacionada ao valor alimentício, à fonte de renda, ao turismo rural, à comercialização (de mudas, de frutos e de polpas), à produção de artesanato e à preservação ambiental. Entre os anos de 2019 a 2022 foram propagadas, caracterizadas, quantificadas e doadas 13.924 mudas.
Localization of Underwater Sensor Networks for Ranging Interference based on the AdaDelta Gradient Descent Algorithm
Authors: Zhou Ziyu , Zhou Xingyu , Xing Guozhen , Jin Zhigang , Chen Ye , Yang Qiuling
Published: June 2023

The precise localization of sensor nodes is a key link in underwater wireless sensor networks (UWSNs) applications. Furthermore, the nodes in UWSNs should be able to independently determine their relative positions before they begin to receive and transmit data to each other. Most of the existing underwater localization algorithms are based on the anchor nodes with known locations, and the rest of the nodes can be calculated by the anchor nodes. The iterative localization process has been proposed for the localization of UWSNs, in which some positioned nodes as reference nodes are selected for iterative localization. However, in real scenarios, some anchor nodes may be destroyed naturally or artificially damaged or even used to convey misleading information to interfere with the precise localization of other nodes underwater. This paper proposes a computationally efficient localization algorithm that can accurately locate the sensor nodes underwater to resist such network attacks. The proposed algorithm achieves better localization accuracy by iteratively removing misleading information transmitted from interfering nodes based on the Time Difference of Arrival ranging mapping and combining selective minimum gradient of AdaDelta gradient descent (AGD). The simulation results prove that the proposed algorithm performs better under network attacks than the existing algorithms.
Energy Aware Clustering and Routing Protocol for Wireless Sensor Network: Chicken Swarm Optimization based Approach
Authors: Dohare Indu , Singh Karan
Published: June 2023

Lifetime expansion and balanced energy utilization among sensor nodes broadly is a significant problem in the sensor networks. Due to the battery's limitations, equal energy utilization between the sensors is necessary to prevent excessive energy consumption. Metaheuristic methods are a well suitable in such issues, as heuristic calculations might transform into NP-hard problems. CSO proved to establish a good equilibrium between determinacy and randomness for finding the optima. In this paper, we proposed a hierarchal ordered chicken swarm optimization (CSO) based routing and clustering approach among sensor nodes. In this manner, firstly we proposed a CSO based cluster head (CH) selection algorithm which considered remaining energy of the nodes, node’s degree, and distance of the node to the sink node (SN). Furthermore, CSO is applied for next-hop selection for data transmission to the destination node. The evaluated results indicate that the suggested scheme succeeded to diminution the energy depletion and extend the network lifespan in comparison to state-of-the-art algorithms.