Miracle-dz/UniFAR-FTUs huggingface dataset:
The Octopus: A Unique Animal for Studying the Brain

What are the structures and functions of the brain that are important for complex learning, such as the ability to quickly figure out how to activate a new application in your smartphone? What are the brain mechanisms that allow memories, like the name of your first-grade teacher, to be stored and quickly recalled, even many years later? Which part of the brain generates the creativity and flexibility of thought necessary for learning a new smartphone interface, for example? These questions are some of the most studied in neuroscience, which is the science that studies the brain and nervous system. In this article, we will tell you how research on the octopus’s brain could help us find answers to these questions. By comparing the structure and function of the octopus brain to the brains of other animals, we might even obtain clues about the workings of the human brain.
A History of the Tuna-Dolphin Problem: Successes, Failures, and Lessons Learned

Multispecies aggregations of tuna, dolphins, and seabirds are prevalent and conspicuous in the vast waters of the eastern tropical Pacific and form the basis of a commercial fishery for yellowfin tuna (Thunnus albacares) through setting on schools of dolphins, which is among the largest tuna fisheries in the world. Incidental dolphin mortality associated with the development and early years of the fishery was high; by 1993 it was estimated that eastern spinner dolphins (Stenella longirostris orientalis) had been reduced to 44% and northeastern offshore spotted dolphins (S. attenuata attenuata) to 19% of pre-fishery levels. Efforts to reduce this mortality began at the inception of the fishery and comprised a diverse array of approaches: modifications to fishing methods and fishing gear (backdown, Medina panel, high-intensity floodlights, swimmers to disentangle and release dolphins); U.S. legislation (through the U.S. Marine Mammal Protection Act, MMPA, and subsequent amendments); international agreements (including the International Dolphin Conservation Program that established dolphin mortality limits, and the legally binding multilateral Agreement on the International Dolphin Conservation Program); and economic incentives [notably through establishment of the U.S. dolphin-safe label and positive certification by the Marine Stewardship Council (MSC)]. Together, these bycatch mitigation efforts have been remarkably successful; dolphin mortality due to entanglement as recorded by fisheries observers (hereafter, entanglement mortality) has been reduced by > 99%. Despite this, the degree to which dolphin populations have recovered remains unclear. Multiple lines of evidence indicate that individual dolphins experience multiple sets in their lifetimes and although causality has not been established, research suggests that chase and encirclement might have impacts on dolphins in addition to entanglement mortality. These impacts potentially include increased fetal and/or calf mortality, separation of nursing females and their calves, decreased fecundity, increased predation, disruption of mating and other social systems, and ecological disruption. The strong management emphasis on monitoring entanglement mortality, and the infrastructure necessary to support this monitoring (in particular, 100% observer coverage on large purse-seiners) require funding to the extent that other activities, particularly continued surveys to monitor stock status and clarify the potential influence of other effects of the fishery on dolphin populations, are currently inadequately funded.
Assessing Momentary Well-Being in People Living With Dementia: A Systematic Review of Observational Instruments

Optimizing the possibility to lead good lives is at the core of treatment and care for people with dementia. This may be monitored by assessing well-being and quality of life. However, cognitive impairment following dementia may complicate recall-based assessment with questionnaires, and proxy-ratings from family-caregivers do not correspond well to self-reports. Thus, using observational measures represents a potentially advanced option. Systematic reviews evaluating measurement properties, interpretability and feasibility of observational instruments assessing well-being in people living with dementia are lacking. Thus, this review performed systematic searches to find peer reviewed validated instruments of relevance in the databases MEDLINE, EMBASE, PsycINFO, Web of Science, CINAHL and ProQuest. Twenty-two instruments assessing well-being were included for evaluation of measurement properties based on the systematic approach of the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). The evaluation included risk of bias on study level, and assessment of measurement properties on instrument level including content validity, construct validity, structural validity, internal consistency, measurement invariance, cross-cultural validity, measurement error and inter-rater/intra-rater/test–retest reliability and responsiveness. Additionally, the feasibility and interpretability of the measures were evaluated. No single instrument could be recommended based on existing publications. Thus, we provide general recommendations about further assessment and development of these instruments. Finally, we describe the most promising instruments and offer guidance with respect to their implementation and use in clinical and research contexts.
Exploring Factors Associated With the Motivation of Clinical Pharmacists: A Focus on the South African Context

Introduction: Pharmacy practice in many middle to low-income countries has slowly transitioned from being product-focused to a more patient-focused clinical practice. Lack of motivation is one of the factors contributing to the scarcity of pharmacists in the wards. As little is known about motivation in clinical pharmacists, this study aimed to obtain insight into the quantity and quality of their work motivation and factors associated with it. Methods: Self-determination Theory, used as the framework, describes autonomous motivation as being generated from within or through personal endorsement and controlled motivation as originating from external factors. An online questionnaire including the Academic Motivation Scale to measure autonomous motivation, controlled motivation and amotivation, was sent to clinical pharmacy graduates from 2000 to 2020 across South Africa, followed by interviews to explain some results. Independent t-test was used to analyze differences in motivation of clinical pharmacists to perform clinical services based on personal and environmental factors. Interview data were transcribed and analyzed to explain significant quantitative findings. Results: Higher amotivation was found in graduates who are currently not practicing in dedicated clinical pharmacist positions, as well as in graduates who do not receive additional financial benefits for clinical services. We found no significant differences in the work motivation of clinical pharmacists based on their gender, age, current practice setting, work experience and additional training received. The interviews revealed that relatedness and autonomy are the most important factors for clinical pharmacists' work motivation. Discussion: Overall participants had a high mean autonomous motivation, a high mean controlled motivation and low mean amotivation. In line with Self-determination Theory literature, considering the basic psychological needs for relatedness and autonomy could assist with designing interventions, like creating a supportive work environment, to optimize motivation. This could improve professional wellbeing, service implementation and prevent possible adverse events. Future research is necessary to understand barriers and facilitators of clinical pharmacists' work motivation.
One Function One Tool? A Review on Mutual Exclusivity in Tool Use Learning in Human and Non-human Species

The goal of this review is twofold: first to explore whether mutual exclusivity and functional fixedness overlap and what might be their respective specificities and second, to investigate whether mutual exclusivity as an inferential principle could be applied in other domains than language and whether it can be found in non-human species. In order to do that, we first give an overview of the representative studies of each phenomenon. We then analyze papers on tool use learning in children that studied or observed one of these phenomena. We argue that, despite their common principle -one tool one function- mutual exclusivity and functional fixedness are two distinct phenomena and need to be addressed separately in order to fully understand the mechanisms underlying social learning and cognition. In addition, mutual exclusivity appears to be applicable in other domains than language learning, namely tool use learning and is also found in non-human species when learning symbols and tools.
RAD52: Paradigm of Synthetic Lethality and New Developments

DNA double-strand breaks and inter-strand cross-links are the most harmful types of DNA damage that cause genomic instability that lead to cancer development. The highest fidelity pathway for repairing damaged double-stranded DNA is termed Homologous recombination (HR). Rad52 is one of the key HR proteins in eukaryotes. Although it is critical for most DNA repair and recombination events in yeast, knockouts of mammalian RAD52 lack any discernable phenotypes. As a consequence, mammalian RAD52 has been long overlooked. That is changing now, as recent work has shown RAD52 to be critical for backup DNA repair pathways in HR-deficient cancer cells. Novel findings have shed light on RAD52’s biochemical activities. RAD52 promotes DNA pairing (D-loop formation), single-strand DNA and DNA:RNA annealing, and inverse strand exchange. These activities contribute to its multiple roles in DNA damage repair including HR, single-strand annealing, break-induced replication, and RNA-mediated repair of DNA. The contributions of RAD52 that are essential to the viability of HR-deficient cancer cells are currently under investigation. These new findings make RAD52 an attractive target for the development of anti-cancer therapies against BRCA-deficient cancers.
Characterizing Oligomeric Hydroxyl Silicon Oils by MALDI-TOF MS With the Pyridine-Modified Matrix

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF) is a powerful technique for analysis of various polymers, but it is still very difficult to characterize silicone oil due to its poor ionization efficiency. In this work, oligomeric hydroxyl silicone oils were successfully characterized by MALDI-TOF, by using pyridine-modified 2,5-dihydroxylbenzoic acid (DHB) as the matrix. Furthermore, the mixed crystal of DHB and hydroxyl silicone oil was analyzed by scanning electron microscopy (SEM) and energy disperse spectroscopy (EDS), and the analytical results verified that modification with pyridine could remarkably improve the solubility of hydroxyl silicone oil in DHB, leading to the enhancement of its ionization efficiency in MALDI. The analysis of the MS spectra of a series of hydroxyl silicone oils indicated that they tended to be ionized by the attachment with Na+, and the average molecular weight and the degree of polymerization were measured for several oligomeric hydroxyl silicon oils.
Extracellular Vesicles and Alveolar Epithelial-Capillary Barrier Disruption in Acute Respiratory Distress Syndrome: Pathophysiological Role and Therapeutic Potential

Extracellular vesicles (EVs) mediate intercellular communication by transferring genetic material, proteins and organelles between different cells types in both health and disease. Recent evidence suggests that these vesicles, more than simply diagnostic markers, are key mediators of the pathophysiology of acute respiratory distress syndrome (ARDS) and other lung diseases. In this review, we will discuss the contribution of EVs released by pulmonary structural cells (alveolar epithelial and endothelial cells) and immune cells in these diseases, with particular attention to their ability to modulate inflammation and alveolar-capillary barrier disruption, a hallmark of ARDS. EVs also offer a unique opportunity to develop new therapeutics for the treatment of ARDS. Evidences supporting the ability of stem cell-derived EVs to attenuate the lung injury and ongoing strategies to improve their therapeutic potential are also discussed.
Enabling Security as a Service for IoT Emerging Technologies: A Survey

Internet of things (IoT) is one of the long-run technologies that spread widely in recent years. IoT aims to connect any object with the internet depending on a special architecture made to match with the environment and the application designed for. The architecture contains sensing elements to collect data, computing elements to process data and make decisions, actuators to apply the process, in addition to the storage part. The prevalence of smart devices and easy access to the Internet increases the widespread use of IoT technology and the different applications of it require providing a high-quality service. One of the challenges facing the IoT applications is to provide security as a service. Security as a service for IoT can be provided by integrating one or more of the emerging technologies with the Internet of things applications to obtain high security according to the application. Therefore, in this study we presented a review of the recent findings and solutions of researchers in the field of developing security for IoT applications by enabling one or more of the emerging technologies.
Role of the Autonomic Nervous System in Mechanism of Energy and Glucose Regulation Post Bariatric Surgery

Even though lifestyle changes are the mainstay approach to address obesity, Sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) are the most effective and durable treatments facing this pandemic and its associated metabolic conditions. The traditional classifications of bariatric surgeries labeled them as “restrictive,” “malabsorptive,” or “mixed” types of procedures depending on the anatomical rearrangement of each one of them. This conventional categorization of bariatric surgeries assumed that the “restrictive” procedures induce their weight loss and metabolic effects by reducing gastric content and therefore having a smaller reservoir. Similarly, the “malabsorptive” procedures were thought to induce their main energy homeostatic effects from fecal calorie loss due to intestinal malabsorption. Observational data from human subjects and several studies from rodent models of bariatric surgery showed that neither of those concepts is completely true, at least in explaining the multiple metabolic changes and the alteration in energy balance that those two surgeries induce. Rather, neuro-hormonal mechanisms have been postulated to underly the physiologic effects of those two most performed bariatric procedures. In this review, we go over the role the autonomic nervous system plays- through its parasympathetic and sympathetic branches- in regulating weight balance and glucose homeostasis after SG and RYGB.
Progress in the Application of Immune Checkpoint Inhibitor-Based Immunotherapy for Targeting Different Types of Colorectal Cancer

Colorectal cancer (CRC), a common malignant disease, has the second highest mortality rate among all cancer types. Due to the diversity and heterogeneity of CRC, few effective treatment strategies have been developed in recent years, except for surgical resection. As immunotherapy has become a revolutionary treatment after surgery, along with chemoradiotherapy and targeted therapy, numerous basic research studies and clinical trials have been conducted on CRC. Therefore, immune checkpoint inhibitor (ICI) therapy has become the main anti-CRC immunotherapy method used at present. With the rapid development of biotechnology and cell research, an increasing number of monotherapy or combination therapy strategies using ICIs for CRC have been designed in recent years. Methods to classify and review ICI strategies for different types of CRC to better guide treatment are continuously investigated. However, the identification of why the ICIs would be more effective in targeting particular subtypes of CRC such as high microsatellite instability (MSI-H) is more important because of the different immune backgrounds in patients. This review intends to classify different subtypes of CRC and summarizes the basic and clinical studies on ICIs for each subtype of CRC currently available. In addition, we also attempt to briefly discuss the progress in immunotherapy methods other than ICI therapy, such as chemoimmunotherapy strategy, chimeric antigen receptor-modified T (CAR-T) cells, or immunotherapy based on oncolytic viruses. Finally, we provide a perspective on the development of immunotherapy in the treatment of CRC and attempt to propose a new systematic classification of CRC based on immunological strategies, which may improve guidance for the selection of immunotherapy strategies for different subtypes of CRC in the future.
A 75-110 GHz automated tuner with exceptional range and repeatability

A 75-110 GHz automated programmable tuner has been constructed displaying maximum reflection coefficients in excess of 0.9 (VSWR/spl ges/19) over the majority of the hand and typical repeatability of -45 db. This tuner has been developed for on-wafer noise measurement applications at W-band.
Asymmetrical pulse width modulated resonant DC/DC converter topologies

Asymmetrical pulse width modulated (APWM) DC-DC resonant converter topologies which exhibit near zero switching losses while operating at constant and very high frequencies are presented. The converters include a bridged chopper to convert the DC input voltage to a high frequency unidirectional AC voltage which in turn is fed to a high frequency transformer through a resonant circuit. The bridged chopper has two switches which alternately conduct. The duty cycles of the conduction of the switches are complementary with one another and are varied to control the output voltage. Three resonant circuit configurations which are suitable for this type of control are presented. Frequency domain analysis of the converter is given and performance characteristics are presented. Experimental results for a 48 V to 5 V, 30 W converter show an efficiency of 88% at a constant operating frequency of 1 MHz. <<ETX>>
The pedestrian evacuation model with collision probability in three-dimensional space

Abstract In order to effectively depict the evacuation process in a three-dimensional space, a novel three-dimensional cellular automata model was proposed with the stair factors. Based on the position attractiveness, collision probability, and vacancy degree, the calculation formula for transition probability was provided by the model, and the evacuation strategy was explained through defining the cellular evolutionary process. Meanwhile, the experiments were conducted on the simulation platform to study the relationships of evacuation time, exit width, pedestrian density, as well as average system velocity. The results showed that evacuation time had a positive correlation with pedestrian density, and a negative correlation with exit width; in addition, concerning the optimum evacuation time, there exists a desirable threshold value for vacancy parameter and collision parameter.
Optimizing Machining Parameters during Turning Process

This work presents an experimental investigation of the influence of the three most important machining parameters of depth of cut, feed rate and spindle speed on surface roughness during turning of mild steel. In this study, the design of experiment which is a powerful tool for experimental design is used to optimize the machining parameters for effective machining of the workpiece. Box Behnken experimental design method as well as analysis of variance (ANOVA) is used to analyze the influence of machining parameters on surface roughness height Ra . The individual parameters effect as well as effect of interactions between the machining parameters on the surface roughness height Ra is analyzed using various graphical representations. Using multiple linear regressions, mathematical models correlating the influence of machining parameters on the surface roughness Ra during the machining process were developed. Confirmation results were used to confirm that mathematical models are good enough to effectively represent machining criteria of surface roughness Ra during the study.
Compact wide-slot antenna for ultra-wideband communications

A novel microstrip-line-fed wide-slot antenna is proposed. Investigations on the prototype of the bevelling square slot design with a small tail slot were employed to increase the wide impedance bandwidth range. The proposed antenna has a simple, symmetric structure and compact size. The matching impedance below 2:1 VSWR is applicable to ultra-wideband communications (3.1–10.6 GHz) with proper choices of bevel of the slot and the size of the tail slot cut in the ground plane.
Fiscal policy shocks and international spillovers CAMA Working Paper 95 / 2020 November 2020

The domestic and international transmission mechanism of fiscal policy shocks are analysed in large developed economies. Using a Bayesian VAR approach, we find that fiscal expansions are associated with increases in output, private consumption and, in many cases, with an increase in private investment. The terms of trade, which affect the international transmission of fiscal policy shocks, are found to depreciate in response to a fiscal expansion, thus transferring some of the increased domestic purchasing power abroad. A US government spending shock is expansionary for all non-US G7 members. A German government spending shock is expansionary for most, but not all European economies, both within and outside the Euro Area. The dynamics of the BVAR are rationalise using a dynamics stochastic general equilibrium model where heterogeneous households and firms face borrowing constraints.
Machine Learning Approach for Real Time Translation of Sinhala Sign Language into Text

— An effective communication bridge has to be adopted between deaf people and the rest of the society to make deaf and mute people feel involved and respected. This research is aimed at creating a real time Sinhala sign language translator by identifying letter-based signs using image processing and machine learning techniques. It involves creating a digital image database of hand gestures for the 26 static signs. These images are processed, recognized and classified by a Convolutional Neural Network (CNN) based machine learning technique. The proposed solution is able to identify 26 hand gestures by using the CNN network with 91.23% validation and 89.44% training accuracy.