Miracle-dz/UniFAR-FTUs huggingface dataset:
Morphophysiological and developmental parameters of soybean cultivars

The choice of cultivars is an important factor for greater productivity in agriculture. The objective of this work is to know the morphophysiological and developmental parameters of soybean cultivars. The experiment was conducted in August 2021, at Faculdades Integradas Stella Maris (FISMA), located in the Municipality of Andradina, State of São Paulo. The design was completely randomized, where five soybean varieties were grown: 8579R5F; 84I86; M8644IPRO; DM80I79; 81I81 and with four replicates, totaling 20 plots or pots. The cultivar 8579R5F stood out in the development parameters in number of trifoliate (NT), shoot dry mass (DMAP) and also in the concentrations of chlorophylls A and B. The cultivar M8644IPRO showed the highest internal leaf morphology parameters for phloem diameter (PD) and palisade parenchyma thickness (PPT). Chlorophyll A and B concentrations present correlations with positive linear responses with shoot dry mass. Stomatal functionality (SF) and phloem diameter (PD) present correlations with positive linear responses with adaxial epidermis thickness (ADET).
NTNU Cyborg: A study into embodying Neuronal Cultures through Robotic Systems

Through The NTNU Cyborg initiative, a cybernetic (bio-robotic) organism is currently under development. Using neural tissue, cultured on a microelectrode array (MEA), the goal is to use in-vitro biological neurons to control a robotic platform. This thesis forms the basis for this development, and serves as the preliminary for a further Phd involving the same topics. Investigation into the the necessary aspects of embodying a neuronal culture though a robotic platform has been conducted. Building upon similar embodied research, as well as knowledge from the fields of neuroscience and computer science, the necessary components for building such a system are discussed. Beginning with the more practical issues, the MEA2100-60-System for communicating with the neuronal culture was presented, along with a proposed infrastructure for distributing the MEA-Cyborg system across the three main participating departments: The Department of Engineering Cybernetics (ITK), the Department of Neuroscience (INM), and the Department of Computer and Information Science (IDI). Robotic bodies, for embodying the culture, have also been introduced; from Animats and Hybrots to The NTNU Cyborg robot platform. We have further looked at encoding information to the culture through stimulation, and decoding information from the culture through analyzing the MEA recordings. Through stimulation and recording we propose to ’close the loop’ by feeding sensory data from the robot platform to the neuronal culture, and using the culture recordings as robotic instructions. Training a neuronal culture is one of the more challenging tasks within The NTNU Cyborg project. With inspiration from biology and artificial neural networks (ANNs), we have looked at some mechanisms for training neuronal cultures though supervised, unsupervised and reinforcement type training. For the sake of completion, a brief discussion on some aspects of modeling a neuronal culture has been included. We have discussed how a realistic model may be constructed and the benefits of doing so. Finally, putting together the topics discussed in this thesis, a plan moving forward has been suggested for when the MEA is up and running.
Time for a do-not-resuscitate policy? Outcomes of inpatient cardiopulmonary resuscitation in very old patients in Bahrain.

Background Globally, do-not-resuscitate orders have been used for many years. Due to the lack of a do-not-resuscitate policy, full resuscitative measures including cardiopulmonary resuscitation (CPR) are applied for all patients admitted to our institution regardless of prognosis. Aims To observe the outcomes of very old patients who underwent CPR, including mortality rate and length of stay. This will allow discussion of the need to implement a do-not-resuscitate policy in Bahrain, and its associated challenges. Methods This was a retrospective observational study conducted in a 1200-bed tertiary hospital in Bahrain. We included patients aged ≥ 80 years admitted under general medicine who underwent CPR between January and July 2018. Medical records were reviewed for patients' characteristics and outcomes. Results Ninety patients were included in the study with an average age of 87.91 (6.27) years. The inhospital mortality rate was 96.67%, and 57.78% of patients died immediately after the first CPR attempt and 38.89% died during subsequent attempts. The survival rate at 1-year follow-up was only 1.11%. Conclusion Survival of very old patients after cardiopulmonary arrest is low, and survival at discharge is even lower. The increase in the very old population will lead to a higher demand for critical care resources given the absence of a do-not-resuscitate policy. Our results demonstrate that implementing such a policy at our institution is crucial to reduce the number of futile CPR attempts, minimizing patients' suffering, and optimizing resource allocation.
Mechanochemical synthesis of stable, quantum-confined CsPbBr3 perovskite nanocrystals with blue-green emission and high PLQY

Cesium lead halides are a family of bright, visible-light emitting materials with near-unity photoluminescence quantum yield (PLQY) in nanocrystals (NCs). The usual way to achieve visible light-emission tunability is by mixing halides, which often leads to phase separation and poor stability. While the NCs should also show size-dependent PL emission, reports on strong quantum confinement in these materials are scarce. Here, we report the synthesis of quantum-confined cesium lead bromide (CsPbBr3) NCs via a facile, environment-friendly, and scalable high-energy mechanochemical synthesis route. The PLQY measured is ∼85%, even after 90 days of synthesis, and the emission wavelength is shifted from green, 520 nm, to blue, 460 nm by quantum confinement in NCs of size 3–5 nm. Micro-PL optical spectroscopy and atomic force microscopy confirm the size tunability of PL on a single-dot scale. Our work demonstrates the potential of mechanochemical synthesis in the medium-scale production of bright luminescent quantum-confined NCs that could be extended to other materials as well.
Literature survey and application of a full-field 3D-DIC technique to determine the damage characteristic of rock under triaxial compression

Digital-image correlation (DIC) is a deformation-measurement technique used to determine rock and soil mechanics. We review DIC tests of rock and soil, with data categorized according to specimen shape, test type, and DIC method. A new three-dimensional-DIC system integrates a transparent triaxial-compression servo-control test system for rocks. The confining pressure cell is transparent and three groups of image-acquisition units, which can be controlled with loading cell at the same time, are adopted to obtain the maximum observed fields. The average magnification factors caused by the transparent cell and oil are 1.4430 and 1.0331 for the measured horizontal and vertical distances, respectively. A triaxial compressive test of rock is performed and the specimen’s surface-strain fields and crack propagation are discussed.
Business commonality, standardization and product cycles

By analyzing production with a continuum of tasks subject to common stochastic effects, the analysis shows that tension between business commonality and standardization is an important source of product cycles. The paper addresses the question of whether business commonality and standardization work in tandem or against each other in a general framework, when fragmentation of production is or is not possible due to contractual incompleteness or technology features. Unlike current literature, the analysis shows that a product cycle can be obtained even with complete contracts. This is so because retaining manufacturing within the firm enhances and exploits commonality in the early stages of production and, hence, reduces the moral hazard cost of providing incentives, which would be a hidden cost of outsourcing instead. Standardization later on can favor offshoring.
Automating Materials Exploration with a Semantic Knowledge Graph for Li‐Ion Battery Cathodes

The recent marriage of materials science and artificial intelligence has created the need to extract and collate materials information from the tremendous backlog of academic publications. However, this is notoriously hard to achieve in sophisticated application domains, such as Li‐ion battery (LIB) cathodes, which require multiple variables for materials selection, making it challenging to automatically identify the critical terms in the text. Herein, a semantics representation framework, featuring a dual‐attention module that refines word embeddings through multi‐source information fusion, is proposed for literature mining of LIB cathodes. The word embeddings thus produced are biased toward domain‐specific knowledge and can enable the detection of deep‐seated associations among materials for targeted applications. Based on this framework, we establish a semantic knowledge graph dedicated to LIB cathodes, which allows us to unravel the latent materials relationships from scientific literature and even to discover candidate materials not yet exploited as cathodes before. This work provides a long‐sought path to the realization of text‐mining‐based knowledge management for complicated materials systems with little dependence on domain expertise.
Observer-based adaptive fuzzy finite-time tracking control of switched nonlinear systems

In this article, we investigate the finite-time output feedback control issue for switched nonlinear systems. In the design procedure, fuzzy logic systems are used for identifying the unknown functions in switched nonlinear systems. A common state observer is constructed such that the unmeasured states can be measured. Based on the framework of the backstepping algorithm, an observer-based finite-time adaptive tracking control strategy is proposed via the common Lyapunov function approach. The stability analysis process confirms in detail that all the closed-loop signals are bounded under arbitrary switchings and the tracking error can converge to a small neighbourhood of the origin after a finite period of time. In order to verify the feasibility of the proposed control scheme, a numerical simulation example is shown in this paper.
Functionalized Graphene Fiber Modified With MOF-Derived Rime-Like Hierarchical Nanozyme for Electrochemical Biosensing of H2O2 in Cancer Cells

The rational design and construction of high-performance flexible electrochemical sensors based on hierarchical nanostructure functionalized microelectrode systems are of vital importance for sensitive in situ and real-time detection of biomolecules released from living cells. Herein, we report a novel and facile strategy to synthesize a new kind of high-performance microelectrode functionalized by dual nanozyme composed of rime-like Cu2(OH)3NO3 wrapped ZnO nanorods assembly [Cu2(OH)3NO3@ZnO], and explore its practical application in electrochemical detection of hydrogen peroxide (H2O2) released from living cells. Benefiting from the merits of the unique hierarchical nanohybrid structure and high catalytic activities, the resultant Cu2(OH)3NO3@ZnO-modified AGF microelectrode shows remarkable electrochemical sensing performance towards H2O2 with a low detection limit of 1 μM and a high sensitivity of 272 μA cm−2 mM−1, as well as good anti-interference capability, long-term stability, and reproducibility. These properties enabled the proposed microelectrode-based electrochemical platform to be applied for in situ amperometric tracking of H2O2 released from different types of human colon cells, thus demonstrating its great prospect as a sensitive cancer cell detection probe for the early diagnosis and management of various cancer diseases.
Smart Health Monitoring System (SHMS) an Enabling Technology for Patient Care

Health Monitoring System is a sophisticating technology and another way to the normal/regular management of the health of the patient. This Health Monitoring Mobile Application is a contribution from our side to the public and to the overall health industry in Pakistan. With the help of Health mobile application, the users will be able to store their medical records, prescriptions and retrieve them later. The users can store and keep track of their vital readings (heart rate, blood pressure, fasting glucose, random glucose). The mobile application also shows hospitals that are nearby in case the user wants to avail of any medical help. An important feature of the application is the symptoms-based disease prediction, the user selects the symptoms which he has and then the application will name certain diseases that match those symptoms based on relevant algorithms. The major advances and issues have been discussed, and as well as potential tasks to health monitoring will be identified and evaluated.
Theoretical Analysis of ESA-Enhanced 2.8 μm Lasing in Er-Doped ZBLAN Fiber Lasers

A detailed analysis of theexcited state absorption (ESA) transition <sup>4</sup>I<sub>13/2</sub>→<sup>4</sup>I<sub>9/2</sub> which occurs in erbium (Er) doped ZBLAN fiber lasers is performed through numerical modeling. It is found that the ESA plays a significant role in enhancing the 2.8 <italic>μ</italic>m lasing of Er<sup>3+</sup> ions. The ESA promotes the ions residing in <sup>4</sup>I<sub>13/2</sub> (the lower state of the 2.8 <italic>μ</italic>m laser) to <sup>4</sup>I<sub>9/2</sub>, where the ions subsequently decay to <sup>4</sup>I<sub>11/2</sub> (the upper state of the 2.8 <italic>μ</italic>m laser) rapidly. An energy recycling is consequently realized via the ESA. The ESA can be activated in cascaded 2.8 <italic>μ</italic>m/1.6 <italic>μ</italic>m Er-doped ZBLAN fiber lasers by absorbing the 1.6 <italic>μ</italic>m signal. Through numerical simulation it is found that in cascaded lasers the slope efficiency of the 2.8 <italic>μ</italic>m laser can be elevated to ∼48% with the assistance of the ESA, a value that surpasses the Stokes limit (∼35%) substantially and agrees well with the experimental results previously reported. It is also found that the ESA-induced energy recycling is exothermic, an effect that is non-ignorable in the high-power circumstance. Moreover, the injection of an additional 1.6 <italic>μ</italic>m pump for directly exploiting the <sup>4</sup>I<sub>13/2</sub>→<sup>4</sup>I<sub>9/2</sub> ESA is simulated using the model. It is found that as the second pump is introduced, the 2.8 <italic>μ</italic>m lasing almost entirely relies on the ESA-induced energy recycling, and hence, the laser is capable of operating under very low 976 nm pump power. The simulation results indicate that the 2.8 <italic>μ</italic>m lasing in Er-doped ZBLAN fiber lasers can even be realized using a single 1.6 <italic>μ</italic>m pump, via a combination of the <sup>4</sup>I<sub>15/2</sub>→<sup>4</sup>I<sub>13/2</sub> and <sup>4</sup>I<sub>13/2</sub>→<sup>4</sup>I<sub>9/2</sub> transition. The outcomes of this work can inspire the development of novel, high-performance 2.8 <italic>μ</italic>m Er-doped ZBLAN fiber lasers.
CRISPR-Cas System: An Adaptive Immune System's Association with Antibiotic Resistance in Salmonella enterica Serovar Enteritidis

Several factors are involved in the emergence of antibiotic-resistant bacteria and pose a serious threat to public health safety. Among them, clustered regularly interspaced short palindromic repeat- (CRISPR-) Cas system, an adaptive immune system, is thought to be involved in the development of antibiotic resistance in bacteria. The current study was aimed at determining not only the presence of antibiotic resistance and CRISPR-Cas system but also their association with each other in Salmonella enteritidis isolated from the commercial poultry. A total of 139 samples were collected from poultry birds sold at the live bird markets of Lahore City, and both phenotypic and genotypic methods were used to determine antimicrobial resistance. The presence of the CRISPR-Cas system was determined by PCR, followed by sequencing. All isolates of S. enteritidis (100%) were resistant to nalidixic acid, whereas 95% of isolates were resistant to ampicillin. Five multidrug-resistant isolates (MDR) such as S. enteritidis isolate (S. E1, S. E2, S. E4, S. E5, and S. E8) were found in the present study. The CRISPR-Cas system was detected in all of these MDR isolates, and eight spacers were detected within the CRISPR array. In addition, an increased expression of CRISPR-related genes was observed in the standard strain and MDR S. enteritidis isolates. The association of the CRISPSR-Cas system with multiple drug resistance highlights the exogenous acquisition of genes by horizontal transfer. The information could be used further to combat antibiotic resistance in pathogens like Salmonella.
Influence of ferulic acid and clinoptilolite supplementation on growth performance, carcass, meat quality, and fatty acid profile of finished lambs

Abstract This study was conducted to evaluate the effect of ferulic acid (FA) and clinoptilolite (CTL) supplementation on the growth performance, carcass characteristics, and meat quality of hair-breed lambs. Twenty-eight Kathadin male lambs (33.72 ± 3.4 kg) were randomly allocated to one of the four diets (n=7) under a 2 × 2 factorial arrangement to evaluate the effect of FA (0 or 300 ppm) and CTL (0% or 1%) during the last 40 days of the finishing phase. No interaction between additives was shown for growth performance, carcass characteristics and meat quality, with exception of the fatty acid profile (p < 0.05). FA reduced feed intake and carcass conformation (p < 0.05). Wholesale cuts were not affected by FA or CTL (p > 0.05). The L*, a*, and C* color parameters and some intramuscular fatty acids of the longissimus thoracis muscle were positively modified by CTL supplementation (p < 0.05). While there was no FA × CTL interaction, each additive could be used individually in animal nutrition to improve the feedlot performance and meat quality of the lambs.
Prediction Model for Offloading in Vehicular Wi-Fi Network

It cannot be denied that, the inescapable diffusion of smartphones, tablets and other vehicular network applications with diverse networking and multimedia capabilities, and the associated blooming of all kinds of data-hungry multimedia services that passengers normally used while traveling exert a big challenge to cellular infrastructure operators. Wireless fidelity (Wi-Fi) as well as fourth generation long term evolution advanced (4G LTE-A) network are widely available today, Wi-Fi could be used by the vehicle users to relieve 4G LTE-A networks. Though, using IEE802.11 Wi-Fi AP to offload 4G LTE-A network for moving vehicle is a challenging task since it only covers short distance and not well deployed to cover all the roads. Several studies have proposed the offloading techniques based on predicted available APs for making offload decision. However, most of the proposed prediction mechanisms are only based on historical connection pattern. This work proposed a prediction model which utilized historical connection pattern, vehicular movement and driver profile to predict the next available AP. The proposed model is compared with the existing models to evaluate its practicability.
AIRFOIL SHAPE OPTIMIZATION USING BÉZIER CURVE AND GENETIC ALGORITHM

There are different types of airfoil used in many applications such as energy production, aerospace, mixing of fluid products. Design optimization studies are still being carried out on the airfoil type structures. The airfoil section is the most important factor affecting the quality and efficiency of the performed work. The aim of this study is the optimization of the airfoil shape to generate more lift than the original airfoil shape creates. For this purpose, Bézier curves are used to generate the airfoil polar points, XFOIL is used as a flow solver and MATLAB is used to create optimization codes using the genetic algorithm. The results show that the created optimal airfoil shape produces more lift than the original airfoil shape. In this study, design optimization studies are supported by flow analysis using ANSYS Fluent.
PEEPS: A Relational Framework for Incorporating Resilience Into Community-Based Programming for Youth

Youth in communities across the world are exposed to adversity and trauma at high levels. In this article, we describe a research-informed, resilience-promoting framework that can be incorporated into a variety of touch points for youth (e.g., school, family, community, extra-curricular activities). The PEEPS Framework is relational in nature and includes the following five interconnected components: (a) positive adult relationships, (b) esteem, (c) empathy, (d) peer relationships, and (e) strengths-based approach. We outline the research that supports each component, describe how we are currently implementing the PEEPS framework in the form of a volunteer training, and offer research-based suggestions for implementation and tools that other professionals can utilize.
Creating and Managing Dynamic Cloud Federations

Cloud computing has evolved from a promising approach to the service provisioning to the reference model for all new data centres to build. Additionally, an increasing number of companies are choosing to migrate their business in the cloud “ecosystem” adopting the solutions developed by the biggest public Cloud Service Providers (CSPs). Smaller CSPs build their infrastructure on technologies available and to better support user activities and provide enough resources to their users, the federation could be a possible solution. In this work, we present different federation models, showing their strengths and weakness together with our considerations. Beside the highlighted existing federation we show the design of a new implementations under development at INFN aiming at maximising the scalability and flexibility of small and/or hybrid clouds by the introduction of a federation manager. This new component will support a seamless resources renting on the base of acceptance of federation agreements among operators. Additionally, we will discuss how the implementation of this model inside research institutes could help in the field of High Energy Physics with explicit reference at LHC experiments, digital humanities, life sciences and others.
Method for Deriving Transformerless Common-Ground Voltage Source Inverter Topologies

This article presents a method for generating a family of transformerless inverters with common ground, for the connection of photovoltaic or battery energy storage systems with the electrical grid. Using the proposed method, four common-ground buck type inverter topologies are derived from bidirectional dc–dc converters based on buck–boost, SEPIC, zeta and boost–buck converters, which have in common the static gain given by ${D \mathord{/ {\vphantom {D {(1 - D)}}} } {(1 - D)}}$. The operation of each generated topology is explained and confirmed by computer simulation results. A comparative analysis between the four generated topologies and other transformerless common-ground inverters are included, considering the number of components, voltage ratings, output power, switching frequency, reported efficiency at rated power, and the requirement for filter insertion. Experimental results obtained in the laboratory, with tests performed on a nonoptimized experimental prototype are presented, for the topology based on the bidirectional zeta converter.