Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Identification of Resistance and Pathogenicity Genes of E. coli Isolated From Broiler Chicken Farms

scherichia coli ( E. coli ) is a widespread avian pathogen and usually is considered as a secondary pathogen for different infectious agents causing huge financial losses in the poultry industry. Thus, the current works aim to molecular detection of resistance and pathogenicity genes of E. coli isolated from broiler chicken farms. A total of 18 flocks out of 30 broiler flocks (60%) were positive for E. coli infection. On the base of the Congo red (CR) binding assay, 15 flocks out of 18 were identified as pathogenic E. coli (83.3%) and 3 flocks appeared as non-pathogenic E. coli (16.6%) . All pathogenic E. coli were subjected to in vitro antibiotic sensitivity testing to select the most resistant isolates. Ten pathogenic E. coli isolates representing ten different broiler flocks were subjected for molecular identification via polymerase chain reaction (PCR) for both resistance and virulence genes. The most predominant isolated serotypes were O91, O128, O78, O124, O 2 and O44. These strains were related to EHEC, EPEC, ETEC, and EIEC. These E. coli isolates are multidrug resistant (MDR) to extensively drug-resistant (XDR). The virulence genes tsh, papC, iss, iutA, and hlyF were detected in 50% of isolates having 5 genes and 50% having 4 genes. All the tested isolates showed MDR genes 60% of isolates were positive for 5 resistance genes and 20% were positive for 4 resistance genes and 20% were positive for resistance 3 genes. We can conclude that E. coli continues to threaten poultry industry and further studies are recommended to found safe antibiotic natural alternatives to overcome E. coli MDR existing strains side by side with strengthening the bird's immunity and application of strict hygienic measures.
Integration of Blockchain & Machine Learning Approach in Sustainable Material Selection

Sustainable materials with special focus on environment are the need of the hour. The alarming signs of global warming demands the emerge of sustainable industries with the goal of producing products using sustainable materials. The process of drawing optimal decisions on sustainable materials is highly intricated and henceforth this research work proposes a comprehensive and integrated approach of decision-making. Block chain together with Random Forest algorithm is leveraged in determining the sustainable material selection. The combined approach resolves the challenges of managing data integrity in obtaining precise results. On comparing the results using performance metrics, it is evident that the proposed approach facilitates optimum decision making of sustainable materials to a greater extent. This integrated approach shall be applied to several decision-making scenarios customizing the parameters to the need of the industrial problems.
Effects of Manual and Instrumental Therapy on the Treatment of Myofascial Pain Syndrome in Descending Trapezius of Women: A Blind Randomized Clinical Study

Objective. To investigate the effects of Manual Ischemic Compression (MIC) and Instrumental Ischemic Compression (ICG) and Pressure Algometer (ICA), in the treatment of women with MPS in descending trapezius. Patients and Methods. This is a double-blinded, randomized, placebo-controlled trial. Patients were randomized into 3 groups: MIC, ICG, and ICA. Pain, pressure pain threshold (PPT), electromyography, disability (NDI), anxiety (GAD-7), and adverse treatment effects (AE) were assessed. The Shapiro-Wilk test was performed to verify the normality of the data, followed by consistent tests, being considered significant when p < 0.05. Results. There was no intergroup difference for any analyzed variables. In the intra-group comparison, MIC group presented pain reduction (F: 7.70; p = 0.0002), between baseline and 1 week; and anxiety (p = 0.048), between baseline and 4 weeks. All groups showed increase in PPT (F: 37.62; p < 0.0001) and decrease in NDI score (F: 53.29; p < 0.0001). About AE, the MIC group reported the highest mean value of discomfort after the technique, 7.22. Conclusions. An intragroup improvement was observed in the pain and anxiety variables for the MIC group, when compared to the baseline with one week and four weeks, respectively. There was an improvement in all groups in the PPT and NDI; however, with no differences between groups in the post-treatment. Study registration. Brazilian Registry of Clinical Trials: ReBEC: RBR-2q24nb.
Economic Pricing in Peer-to-Peer Electrical Trading for a Sustainable Electricity Supply Chain Industry in Thailand

The state-owned power Electricity Generating Authority of Thailand (EGAT), a monopoly market in charge of producing, distributing, and wholesaling power, is the focal point of Thailand’s electricity market. Although the government has encouraged people to install on-grid solar panels to sell electricity as producers and retail consumers, the price mechanism, i.e., purchasing price and selling prices, is still unilaterally determined by the government. Therefore, we are interested in studying the case where blockchain can be used as a free trading platform. Without involving buying or selling from the government, this research presents a model of fully traded price mechanisms. Based on the study results of the double auction system, data on buying and selling prices of electrical energy in Thailand were used as the initial data for the electricity peer-to-peer free-trading model. Then, information was obtained to analyze the trading price trends by using the law of demand and supply in addition to the principle of the bipartite graph. The price trend results agree well with those of price equilibrium equations. Therefore, we firmly believe that the model we offer can be traded in a closed system of free-trade platforms. In addition, the players in the system can help to determine the price trend that will occur according to various parameters and will cause true fairness in the sustainable electricity supply chain industry in Thailand.
Reappraisal of the magma-rich versus magma-poor rifted margin archetypes

Abstract Rifted margins are commonly defined as magma-poor or magma-rich archetypes based on their morphology. We re-examine the prevailing model inferred from this classification that magma-rich margins have excess decompression melting at lithospheric breakup compared with steady-state seafloor spreading, while magma-poor margins have inhibited melting. We investigate the magmatic budget related to lithospheric breakup along two high-resolution long-offset deep reflection seismic profiles across the SE Indian (magma-poor) and Uruguayan (magma-rich) rifted margins. Resolving the magmatic budget is difficult and several interpretations can explain our seismic observations, implying different mechanisms to achieve lithospheric breakup and melt production for each archetype. We show that the Uruguayan and other magma-rich margins may indeed involve excess decompression melting compared with steady-state seafloor spreading but could also be explained by a gradual increase with an early onset relative to crustal breakup. A late onset of decompression melting relative to crustal breakup enables mantle exhumation characteristic of magma-poor margin archetypes (e.g. SE India). Despite different volumes of magmatism, the mechanisms suggested at lithospheric breakup are comparable between both archetypes. Considerations on the timing of decompression melting onset relative to crustal thinning may be more important than the magmatic budget to understand the evolution and variability of rifted margins.
Influence of Surface Roughness on Interfacial Properties of Particle Networks

The behavior of colloidal particles near fluid interfaces has attracted significant scientific interest, as particles minimize the contact area between the two fluid phases, stabilizing interfacial systems. This study explores the influence of surface roughness on the properties of particle monolayers at the air–water interface, focusing on colloidal silica particles and fumed silica particles of similar hydrodynamic diameter. This research involves comparing low-surface-area (LSA) and medium-surface-area (MSA) fumed silica particles with spherical colloidal silica particles (250 nm in diameter). Utilizing a Langmuir trough, the interfacial particle networks are compressed and expanded. Analysis of surface pressure isotherms reveals that fumed silica particle monolayers form networks at a lower particle surface coverage compared to spherical particles. The spherical particle monolayer exhibits a higher apparent surface elasticity, indicating greater resistance to the applied compression compared to fumed silica networks. Additionally, monolayers formed by fumed silica particles display hysteresis even after successive compressions and expansions due to irreversible particle interlocking and the formation of multilayered aggregates. These findings provide insights into the impact of surface roughness on the behavior of particle monolayers at fluid interfaces, offering valuable information for designing and optimizing mechanisms involved in emulsion and foam stabilization.
The risk caused by hydrocarbon spills in the eastern region of the Canary Islands Waters: TESEO model and SIROCO system

In view of the increasing oil interest shown by Spain and Morocco, the aim of this project is to test the risk of hypothetical spills of hydrocarbons in the eastern region of the Canary Islands waters and their surroundings through the Simulation Model of Hydrocarbon Transport (TESEO) and the Island Response and Operations System against Ocean Pollutants, in Spanish Sistemas Insulares de Respuesta y Operaciones Ante Contaminantes Oceánicos (SIROCO).
A Wireless Implantable Passive Strain Sensor (WIPSS)

Monitoring the deformation of medical implants, e. g. bone fixation plates, is important in order to observe heal- ing processes and rehabilitation exercises, for tracing harmful overloads and anticipating implant failure. We present a novel strain-sensor technology that focuses on the development of a micro-scaled, wireless, and pas- sive strain-sensor system for in-situ measurement of mechanical loads in implants, bones, muscles or cartilages. Towards minimal invasive surgery, the completely passive and wireless concept, using signal read-out through human tissue by ultra-sound, allows to build the sensor unit from biocompatible and bioresorbable polymers.
INTEGRATED COGNITION FOR ITERATIVE AND GENERATIVE DESIGNS

This paper describes the work in progress of a research on Neurodesign and a previously described process entitled Augmented Iterations (Cutellic and Lotte 2013). Within this broader field of research and design explorations, we will focus on describing and commenting on results obtained in the neuro-selection of shapes among a continuously varying flow of visual stimuli. Eventually, these results will lead to the identification of a non-linear and non-convergent potential for the Human-Based Computation of iterative and generative designs. Le Cube d’Après 1
Reference evapotranspiration of screenhouse‐grown crops

The reference evapotranspiration E ref was measured under three screenhouses and compared to outside E ref . The reduction with respect to outside E ref was quantified by means of two factors,  rad and  adv .  rad was found to depend linearly on transmittance (  ), and  adv on wind ratio (  ). A model was proposed for screenhouse E ref based on outside weather data,  and  Palabras clave: Solar radiation, net radiation, transmittance, advective component, radiative component
Impact of a combination sound therapy on tinnitus distress: an exploratory one-year longitudinal study

Combination devices offering both amplification and sound therapy are commonly used in tinnitus management. However, there is insufficient evidence supporting the relationship between sound therapy and tinnitus outcomes. The aim of this study was to explore longitudinal effects of sound therapy on tinnitus-related distress using a combination device.Twenty participants with mild to moderate tinnitus related distress were fitted with combination devices that included three sound-therapy programs. The sound-therapy programs were selected by the participants from the available sounds offered in the combination device. The sounds comprised fractal music, nature sounds and combinations of the two. Participants were asked to wear the devices for 12 months and to complete questionnaires related to tinnitus distress at baseline and 1, 2, 4, 6, and 12 months after starting the treatment. Additionally, at 2, 4, 6, and 12 months, the device log data capturing information about amplification and sound-therapy use were collected.Tinnitus handicap inventory (THI), tinnitus functional index (TFI), tinnitus awareness and annoyance decreased following the device fitting. This improvement plateaued at 4 months. The degrees of improvement in THI, TFI and tinnitus annoyance were correlated with daily hours of sound-therapy use but not with daily hours of amplification-only or total device use.A combination sound therapy consisting of therapy sounds, amplification as needed, and counseling was associated with a reduction in tinnitus-related distress. A future randomized controlled trial should be conducted to allow for detangling the effect of sound therapy from effects of amplification, counseling, placebo, and time itself, and to investigate the predictors of sound-therapy benefit and use.
CALCIUM HANDLING IN A TESTOSTERONE RESPONSIVE SKELETAL MUSCLE OF THE MDX MOUSE

Muscle necrosis in Duchenne muscle dystrophy (DMD) and in the mdx mouse has been related to abnormal calcium homeostasis associated with the lack of dystrophin. We have previously shown that the testosteronedependent levator ani (LA) muscle of the mdx mouse develops a mild muscle wasting and fiber degeneration compared to the less hormone sensitive diaphragm (DIA) muscle, suggesting a protective effect of androgens. This study assessed the calcium handling mechanisms and cytosolic calcium concentration ([Ca 2+ ] i ) in LA muscles of mdx mice at critical stages of muscle disease. Muscle contractures induced by caffeine and 4chloro-m-cresol (4-CmC), two activators of ryanodine channels, were recorded in LA and DIA muscles of prepubertal (1 month-old), adult (4 month-old) and aged (18 month-old) wild-type (wt) and mdx mice. [Ca 2+ ] i was estimated with the fura-2 fluorescent dye in enzymatically dissociated LA muscle fibers of the same wt and mdx groups. Tetanus tension (TT) in the LA increased proportionately to the muscle weight (4 to 5-fold), but specific TT (TT/mg) did not differ among age-matched wt and mdx groups. Muscle contractures induced by caffeine (3-100 mM) or 4-CmC (0.1-5.0 mM) in the LA were greater in prepubertal than in adult and aged mice, but they did not differ among age-matched wt and mdx groups. The resting [Ca 2+ ] i in mdx LA muscle fibers was not significantly affected at any age. Comparatively, dystrophic DIA presented reduced muscle strength in adult (40%) and aged (45%) mice, whereas the muscle responses to caffeine increased with age (63 to 82%), indicating changes in the Ca 2+ handling mechanisms. The results indicated that muscle
A silver lining for the excluded: Exploring experiences that micro‐task crowdsourcing affords workers with impaired work access

Micro‐task crowdsourcing (MTCS) platforms offer alternative work settings outside traditional work boundaries and thus increasingly attract crowdworkers who face exclusion from access to other work. However, we know little about these crowdworkers' perspective on MTCS and its implications for their personal life. Building on insights from three qualitative surveys with responses from 538 crowdworkers and 576 forum posts in total, we show that despite the often challenging work conditions, MTCS platforms provide these crowdworkers with a work environment in which they can participate in paid work activities without feeling excluded due to their personal circumstances. As a result, MTCS platform work provides these crowdworkers with a set of positive experiences that were not possible before. These afforded experiences go beyond work‐related experiences but relate directly to crowdworkers' personal situation and life. Our research yields implications for the literature on MTCS and also for policy makers and stakeholders concerned with the creation of more inclusive work settings.
BEC Defender: QR Code-Based Methodology for Prevention of Business Email Compromise (BEC) Attacks

In an era of ever-evolving and increasingly sophisticated cyber threats, protecting sensitive information from cyberattacks such as business email compromise (BEC) attacks has become a top priority for individuals and enterprises. Existing methods used to counteract the risks linked to BEC attacks frequently prove ineffective because of the continuous development and evolution of these malicious schemes. This research introduces a novel methodology for safeguarding against BEC attacks called the BEC Defender. The methodology implemented in this paper augments the authentication mechanisms within business emails by employing a multi-layered validation process, which includes a MAC address as an identity token, QR code generation, and the integration of timestamps as unique identifiers. The BEC-Defender algorithm was implemented and evaluated in a laboratory environment, exhibiting promising results against BEC attacks by adding an extra layer of authentication.
Hybrid Data-Induced Kalman Filtering Approach and Application in Beam Prediction and Tracking

Beam prediction and tracking (BPT) are key technology for high-frequency communications. Typical techniques include Kalman filtering and Gaussian process regression (GPR). However, Kalman filter requires explicit models of system dynamics, which are challenging to obtain, especially for complicated environments. In contrast, as a data-driven approach, there is no need to derive the system dynamics model for GPR. However, the computational complexity of GPR is often prohibitive, which makes real-time application challenging. To tackle this issue, we propose a novel hybrid model and data driven approach in this paper, which can exploit simultaneously the advantages from the two techniques while overcoming their drawbacks. In particular, the system dynamics required can be obtained in a data-driven manner. Based on a characterization of the system dynamics, we further investigate the long-term behavior of system evolution and propose two more efficient algorithms - long-term prediction and beam width optimization. We demonstrate two advantages of the proposed BPT approach. First, the computational complexity is low due to the inherent Kalman filter. Second, system performance can be significantly improved thanks to the long-term prediction and beam width optimization.
Optimization of a Circular Planar Spiral Wireless Power Transfer Coil Using a Genetic Algorithm

Circular planar spiral coils are the most important parts of wireless power transfer systems. This paper presents the optimization of wireless power transfer coils used for wireless power transfer, which is a problem when designing wireless power transfer systems. A single transmitter coil transfers power to a single receiving side. The performance of the wireless power transfer system depends greatly on the size and shape of the wireless power transfer system. Therefore, the optimization of the coils is of the utmost importance. The main optimization parameter was the coupling coefficient between the transmitter and the receiver coil in the horizontally aligned and misaligned position. A genetic evolutionary algorithm was used to optimize the coil, according to the developed cost function. The algorithm was implemented using the MATLAB programming language. The constraints regarding the design of the coils are also presented for the problem to be analyzed correctly. The results obtained using the genetic algorithm were first verified using FEM simulations. The optimized coils were later fabricated and measured to confirm the theory.
Improved DNA Extraction and Amplification Strategy for 16S rRNA Gene Amplicon-Based Microbiome Studies

Next-generation sequencing technology has driven the rapid advancement of human microbiome studies by enabling community-level sequence profiling of microbiomes. Although all microbiome sequencing methods depend on recovering the DNA from a sample as a first critical step, lysis methods can be a major determinant of microbiome profile bias. Gentle enzyme-based DNA preparation methods preserve DNA quality but can bias the results by failing to open difficult-to-lyse bacteria. Mechanical methods like bead beating can also bias DNA recovery because the mechanical energy required to break tougher cell walls may shear the DNA of the more easily lysed microbes, and shearing can vary depending on the time and intensity of beating, influencing reproducibility. We introduce a non-mechanical, non-enzymatic, novel rapid microbial DNA extraction procedure suitable for 16S rRNA gene-based microbiome profiling applications that eliminates bead beating. The simultaneous application of alkaline, heat, and detergent (‘Rapid’ protocol) to milligram quantity samples provided consistent representation across the population of difficult and easily lysed bacteria equal to or better than existing protocols, producing sufficient high-quality DNA for full-length 16S rRNA gene PCR. The novel ‘Rapid’ method was evaluated using mock bacterial communities containing both difficult and easily lysed bacteria. Human fecal sample testing compared the novel Rapid method with a standard Human Microbiome Project (HMP) protocol for samples from lung cancer patients and controls. DNA recovered from both methods was analyzed using 16S rRNA gene sequencing of the V1V3 and V4 regions on the Illumina platform and the V1V9 region on the PacBio platform. Our findings indicate that the ‘Rapid’ protocol consistently yielded higher levels of Firmicutes species, which reflected the profile of the bacterial community structure more accurately, which was confirmed by mock community evaluation. The novel ‘Rapid’ DNA lysis protocol reduces population bias common to bead beating and enzymatic lysis methods, presenting opportunities for improved microbial community profiling, combined with the reduction in sample input to 10 milligrams or less, and it enables rapid transfer and simultaneous lysis of 96 samples in a standard plate format. This results in a 20-fold reduction in sample handling time and an overall 2-fold time advantage when compared to widely used commercial methods. We conclude that the novel ‘Rapid’ DNA extraction protocol offers a reliable alternative for preparing fecal specimens for 16S rRNA gene amplicon sequencing.