Miracle-dz/UniFAR-FTUs huggingface dataset:
Patient-Derived Induced Pluripotent Stem Cell Models for Phenotypic Screening in the Neuronal Ceroid Lipofuscinoses

Batten disease or neuronal ceroid lipofuscinosis (NCL) is a group of rare, fatal, inherited neurodegenerative lysosomal storage disorders. Numerous genes (CLN1–CLN8, CLN10–CLN14) were identified in which mutations can lead to NCL; however, the underlying pathophysiology remains elusive. Despite this, the NCLs share some of the same features and symptoms but vary in respect to severity and onset of symptoms by age. Some common symptoms include the progressive loss of vision, mental and motor deterioration, epileptic seizures, premature death, and in the rare adult-onset, dementia. Currently, all forms of NCL are fatal, and no curative treatments are available. Induced pluripotent stem cells (iPSCs) can differentiate into any cell type of the human body. Cells reprogrammed from a patient have the advantage of acquiring disease pathogenesis along with recapitulation of disease-associated phenotypes. They serve as practical model systems to shed new light on disease mechanisms and provide a phenotypic screening platform to enable drug discovery. Herein, we provide an overview of available iPSC models for a number of different NCLs. More specifically, we highlight findings in these models that may spur target identification and drug development.
Detection and Isolation of DoS and Integrity Cyber Attacks in Cyber-Physical Systems with a Neural Network-Based Architecture

New applications of industrial automation request great flexibility in the systems, supported by the increase in the interconnection between its components, allowing access to all the information of the system and its reconfiguration based on the changes that occur during its operations, with the purpose of reaching optimum points of operation. These aspects promote the Smart Factory paradigm, integrating physical and digital systems to create smarts products and processes capable of transforming conventional value chains, forming the Cyber-Physical Systems (CPSs). This flexibility opens a large gap that affects the security of control systems since the new communication links can be used by people to generate attacks that produce risk in these applications. This is a recent problem in the control systems, which originally were centralized and later were implemented as interconnected systems through isolated networks. To protect these systems, strategies that have presented acceptable results in other environments, such as office environments, have been chosen. However, the characteristics of these applications are not the same, and the results achieved are not as expected. This problem has motivated several efforts in order to contribute from different approaches to increase the security of control systems. Based on the above, this work proposes an architecture based on artificial neural networks for detection and isolation of cyber attacks Denial of Service (DoS) and integrity in CPS. Simulation results of two test benches, the Secure Water Treatment (SWaT) dataset, and a tanks system, show the effectiveness of the proposal. Regarding the SWaT dataset, the scores obtained from the recall and F1 score metrics was 0.95 and was higher than other reported works, while, in terms of precision and accuracy, it obtained a score of 0.95 which is close to other proposed methods. With respect to the interconnected tank system, scores of 0.96,0.83,0.81, and 0.83 were obtained for the accuracy, precision, F1 score, and recall metrics, respectively. The high true negatives rate in both cases is noteworthy. In general terms, the proposal has a high effectiveness in detecting and locating the proposed attacks.
Deviations From Standard Family Histories and Subjective Wellbeing at Older Ages

Life course research emphasizes that health and wellbeing at older ages are influenced by experiences occurred in the previous stages of life. Several studies have focused on fertility and partnership histories and health at older ages, but fewer have examined subjective wellbeing (SWB), especially using a holistic approach. Another strand of the literature demonstrated that non-standard family behaviors negatively influence SWB. We contribute to these strands of the literature by examining the association between non-standardness of family histories and SWB at older ages. We argue that individuals who experienced non-standard trajectories have been exposed to social sanctions throughout their life course which could exert negative long-term influence on their SWB.We apply sequence analysis and optimal matching on retrospective data from the seventh wave of the Survey of Health Ageing and Retirement in Europe (SHARE) to calculate the degree of non-standardness of family histories between age 15 and 49. Subsequently, we estimate linear regression models to assess the association between non-standardness of family histories and older people's SWB. Our results show a negative association between non-standardness of family histories and SWB, which is stronger for lower educated individuals and in Southern European countries.
Comparing Physics Effects through Reinforcement Learning in the ARORA Simulator

By testing various physics levels for training autonomous-vehicle navigation using a deep deterministic policy gradient algorithm, the present study fills a lack of research on the impact of physics levels for vehicle behaviour, specifically for reinforcement-learning algorithms. Measures from a PointGoal Navigation task were investigated: simulator run-time, training steps, and agent effectiveness through the Success weighted by (normalised inverse) Path Length (SPL) measure. Training and testing occurred in the novel simulator ARORA, or A Realistic Open environment for Rapid Agent training. The goal of ARORA is to provide a high-fidelity, open-source platform for simulation, using physics-based movement, vehicle modelling, and a continuous action space within a large-scale geospecific city environment. Using four physics levels, or models, to create four different curriculum conditions for training, the SPL was highest for the condition using all physics levels defined for the experiment, with two conditions returning zero values. Future researchers should consider providing adequate support when training complex-physics vehicle models. The run-time results revealed a benefit for experimental machines with a better CPU, at least for the vector-only observations we employed.
An online multi-dimensional opinion dynamic model with misinformation diffusion in emergency events

Multiple opinions, including many that are negative, are produced in emergency events. These opinions are commonly formed asynchronously based on misinformation. However, most researches on opinion dynamics involving information neglect the asynchronous process of initial opinion formation due to information diffusion. Since online social networks like Sina Weibo act as major avenues for the expression, after analysing online behaviours, an opinion dynamic model is developed with consideration of misinformation diffusion of public opinion. In this model, schemes are developed for opinion interactions in multiple dimensions by introducing characteristics of online communication as another way of opinion interactions besides communication between neighbours. Subsequently, we investigate the impacts of network structure, diffusion rate, repost rate and other factors, which provide insights into understanding online opinion dynamics during emergency events. Furthermore, we conduct simulations to determine the intervention effects of different official responses. Results show that removing comments compulsively exhibits better performance in reducing negative opinion as well as increasing the density of Spreaders. Debunking misinformation by posting early results officially which indicates the probability of the existence of misinformation may lead public opinion in time if it takes a long time to finally confirm the misinformation.
The Divergent Estimates of Diffuse Radiation Effects on Gross Primary Production of Forest Ecosystems Using Light‐Use Efficiency Models

Diffuse radiation can promote the vegetation photosynthesis. Radiation use efficiency (RUE = GPP/PAR) simulated by Terrestrial Ecosystem Carbon Flux GPP Model (TEC), Vegetation Photosynthesis Model (VPM), Eddy Covariance Light Use Efficiency Model (EC‐LUE), and Diffuse Fraction‐Based Two‐Leaf Terrestrial Ecosystem Carbon Flux Model (DTEC) models were against the measured radiation‐use efficiency (RUE) from FLUXNET under different bins of diffuse photosynthetically active radiation fraction (FDIFFPAR) in this study. Our results showed that the observed RUE increased linearly with FDIFFPAR. The differences of RUE between the first bin and other bin (RUEbin) from two big‐leaf models were underestimated when the FDIFFPAR is higher than 0.5 except in evergreen broadleaf forests and RUEbin from the DTEC model was overestimated when the FDIFFPAR is higher than 0.7. The role of temperature and vapor pressure deficit in the diffuse radiation effects on vegetation photosynthesis was underestimated in EC‐LUE, TEC, VPM. Although many studies applied LUE models to assess the effects of diffuse radiation on vegetation photosynthesis, our results suggested that these models were needed to be improved.
Kinetic Study of the Enzymatic Synthesis of 2-Phenylethyl Acetate in Discontinuous Tank Reactor

There is increasing interest in new processes to produce aromatics labeled as “natural”, and as a consequence, enzymatic processes, in some organic solvent or in solvent-free medium, have been developed. This paper offers a kinetic study of lipase-catalyzed transesterification for synthesizing 2-phenylethyl acetate in a batch reactor using Novozym 435 and hexane as solvent. The influence of five variables on conversion is studied. A pseudo-first-order kinetic model, derived as a simplification of bisubstrate ping-pong kinetics, is presented. The amount of catalyst was the variable most affecting kinetic and yield, while initial substrate concentration had little effect on the reaction kinetic. The yield increased gradually as the molar ratio increased and was more pronounced with vinyl acetate than 2-phenethyl alcohol. Michaelis constants of both substrates and maximum reaction rate, for the range of assayed experimental conditions of temperature, stirring speed, and enzyme concentration, were determined .
Determinants of stakeholder dialogue in large public interest entities operating in Poland

Objective: The aim of the research presented in this article is to identify factors that influ-ence the involvement of large public interest entities that operate in Poland in conducting dialogue with stakeholders and thus foster the development of dialogue-based accounting. Methodology/research approach: The literature review identified potential factors that increase the chances of developing dialogic accounting. A sample of 159 large public interest entities was used to verify the hypotheses. Data were collected through content analysis of statements (reports) on non-financial information published for 2020, as well as infor-mation posted on their websites and corporate social media accounts. The logit regression method was used to verify the hypotheses. Results: Our findings suggest that the non-financial reporting standard used and the com-pany’s orientation towards employees may influence the dialogue process with stakehold-ers, increasing chances for the development of dialogic accounting. Limitations: The research sample is limited to one country, and the data were collected for one year only. Originality/value: The Article broadens accounting knowledge, in particular on the deter-minants that influence public interest entities’ involvement in stakeholder dialogue.
Executive Functions in Social Context: Implications for Conceptualizing, Measuring, and Supporting Developmental Trajectories

Success in life is linked to executive functions, a collection of cognitive processes that support goal-directed behaviors. Executive functions is an umbrella term related to cognitive control, self-control, and more. Variations in executive functioning predict concurrent success in schooling, relationships, and behavior, as well as important life outcomes years later. Such findings may suggest that certain individuals are destined for good executive functioning and success. However, environmental influences on executive function and development have long been recognized. Recent research in this tradition demonstrates the power of social contextual influences on children's engagement of executive functions. Such findings suggest new interpretations of why individuals differ in executive functioning and associated life outcomes, including across cultures and socioeconomic statuses. These findings raise fundamental questions about how best to conceptualize, measure, and support executive functioning across diverse contexts. Future research addressing real-world dynamics and computational mechanisms will elucidate how executive functioning emerges in the world. Expected final online publication date for the Annual Review of Developmental Psychology, Volume 3 is December 2021. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Virtues in action are related to the integration of both temperament and character: Comparing the VIA classification of virtues and Cloninger’s biopsychosocial model of personality

ABSTRACT Evidence supports three principal virtues of Self-Control, Caring, and Inquisitiveness that represent socially-construed notions of desirable behaviors. In Study 1 (n = 509 adults), we demonstrate that the three-virtue structure identified in the VIA-IS also emerges in the VIA-72. In Study 2 (n = 659 adults) we examine the relationship between virtues and personality using correlations and person-centered analyses. Cloninger’s character dimensions, which capture the sociocognitive component of personality – Self-Directedness, Cooperativeness, Self-Transcendence – showed moderate overlap with the three virtues, but remained distinct in its silent and subjective transpersonal aspects that were excluded from VIA. People with positive development of all three character traits were the most virtuous. The specific virtues of a person depended on integrated profiles of both temperament and character. We conclude that virtues are expressed when habits are persistently regulated by all three character traits to the extent that they express self-transcendent goals and values.
Colon Cancer Classification and Prognosis Prediction Based on Genomics Multi-features

Background: To classify colon cancer and predict the prognosis of patients with multiple characteristics of the genome.Methods: We used the mRNA expression profile data and mutation maf files of colon cancer patients in the TCGA database to calculate the TMB value of patients. Combined with CNV, MSI, and corresponding clinical information, the patients were clustered by the "K-means" method to identify different molecular subtypes of colon cancer. Comparing the differences of prognosis, and immune cell infiltration, and other indicators among patients in each subgroup, we used COX and lasso regression analysis to screen out the prognosis difference genes among subgroups and construct the prognosis prediction model. We used the external data set to verify the model, and carried out the hierarchical analysis of the model to compare the immune infiltration of patients in the high and low-risk groups. And detected the expression differences of core genes in tumor tissues of patients with different clinical stages by qPCR and immunohistochemistry.Results: We successfully calculated the TMB value and divided the patients into three subgroups. The prognosis of the second subgroup was significantly different from the other two groups. The mmunoinfiltration analysis showed that the expression of NK.cells. resting increased in cluster1 and cluster 3, and the expression of T.cells. CD4.memory. resting increased in cluster3. By analyzing the differences among subgroups, we screened out eight core genes related to prognoses, such as HYAL1, SPINK4, EREG, and successfully constructed a patient prognosis evaluation model. The test results of the external data set shows that the model can accurately predict the prognosis of patients; Compared with risk factors such as TNM stage and age, the risk score of the model has higher evaluation efficiency. The experimental results confirmed that the differential expression of eight core genes was basically consistent with the model evaluation results.Conclusion: Colon cancer patients were further divided into three subtypes by using genomic multi-features, and eight-core genes related to prognosis were screened out and the prognosis evaluation model was successfully constructed. With external data and experiments, it verified that the model had good evaluation efficiency.
BIOMAGNETISM AS FACTOR IN RED BLOOD CELLS DEFORMATION

The purpose of this manuscript is to report in vitro experiments showing the role of pulsed biomagnetic fields tissues cross-talk between Red Blood Cells (RBCs) and human hairs. Both tissues have been reported to express magnetic properties, ie: RBCs diamagnetic and paramagnetic forces and the hair follicle pulsed diamagnetic forces. This biomagnetic cross-talk is reported as a novel factor in RBCs deformation. In the in vitro experimental model herein used, other forces such as keratin biomagnetism, hydrophilic and hydrophobic properties of the hair shaft may also play a role in the deformation. Presently teardrop red blood cells found in blood smears; and oriented in the same direction are attributed to mechanical artifacts introduced during slide preparations. The data presented in this manuscript supports the new principle of biomagnetic cross talk forces as factor in replicating RBCs deformities.as described in Optical Tweezers Trapping.
Forgotten but not gone: A heuristic literature review of sibling suicide bereavement

INTRODUCTION: It is often said that Aotearoa New Zealand suffers from a “culture of silence” around suicide. The sibling experience, it seems, forms a silence within that silence. Suicide- bereaved siblings face what has been termed a “double loss. ” Their sibling is gone, and sois their family as they knew it. Typically, they mourn both losses in isolation, the “forgotten bereaved. ” Although Aotearoa New Zealand’s suicide rates are amongst the highest inthe developed world, there are currently no academic papers dedicated exclusively to the sibling experience of suicide loss. This has serious implications, as suicide-bereaved siblings experience significantly higher rates of mental illness compared to control groups even when pre-existing psychopathology, health problems, and social disadvantages are taken into consideration. In addition, their own risk of suicide has been found to double.METHOD: This heuristic literature review aims to clarify and summarise what research focused on the sibling experience of suicide bereavement has highlighted so far, drawing on the author’s lived experience to examine key themes of guilt, “unacceptable” anger, social stigmatisation, self-judgement, isolation, and the shattering of relational trust.FINDINGS AND IMPLICATIONS: Siblings cannot be expected to “seek” help, it needs to be offered—strongly and repeatedly. With this in mind, potential implications for mental health practice with suicide-bereaved siblings will be discussed, as well as broader social initiatives and areas in need of future research.
Ternary non-fullerene polymer solar cells with 13.51% efficiency and a record-high fill factor of 78.13%

Non-fullerene polymer solar cells (NF PSCs) have attracted much attention in recent years due to their rapidly increasing power conversion efficiency (PCE). In this work, two highly efficient ternary NF PSCs with FFs over 78% and PCEs up to 13.52% and 12.70% are demonstrated by adding a strongly aggregating polymer P1 into the classic PBDB-T:IT-M and PBDB-T:ITIC non-fullerene blends. The addition of P1 significantly enhances the crystallization of the blend film, while maintaining the desired morphology. The ternary devices show highly improved charge extraction and suppressed charge recombination in comparison to the binary mixture. The PCE of the PBDB-T:ITIC based NF PSC was found to increase from 10.82% to 12.70% and the FF from 71.85% to 78.07% after adding P1. For the PBDB-T:IT-M based NF PSC, the PCE increases from 11.71% to 13.52% and the FF from 72.07% to 77.83%. The high FFs and PCEs are the best results reported for ternary NF PSCs to date.
OctCNN: A High Throughput FPGA Accelerator for CNNs Using Octave Convolution Algorithm

With the rapid development and continuous evolution of convolutional neural networks (CNNs), FPGAs have become one of the most attractive candidates for deploying CNNs due to their re-programmability, low power consumption, and fast time-to-market characteristics. However, as the network structure of models deepens, previous FPGA solutions based on the traditional convolution are still limited by computational power, making it challenging to meet feedforward performance requirements. In this article, we introduce the state-of-the-art octave convolution (OctConv) into the CNN accelerator design for the first time to improve the hardware acceleration efficiency and design a dedicated OctPU for mapping OctConv to FPGAs efficiently, which employs a parallel dataflow pattern to exploit the parallelism of OctConv sufficiently. Based on this, we present a novel and scalable architecture that dynamically combines the inter-layer pipelined structure and multi-layer reuse structure, achieving a compromise between specificity and scalability with limited resources. Meanwhile, to obtain the optimized solution from the complex design space search, we build a multidimensional performance and resource analysis model and a two-stage search algorithm based on greedy and heuristic algorithms. We evaluate our proposal by implementing VGG16 and ResNet50 on the Xilinx VU9P FPGA. Experimental results show that our prototype accelerators can achieve an average of 3321 GOP/s for the convolutional layers for VGG16 and 2873 GOP/s for the overall ResNet50 using OctConv. Compared to previous works based on the traditional convolution, our prototypes own a 1.72× to 2.33× speedup in throughput and a 2.01× to 5.18× improvement in computational density. Our design also presents an excellent compromise performance and generalization compared to previous hardware and software co-optimization works.
MELATONIN AND MONOAMINERGIC SYSTEM – BEHAVIOURAL ASPECTS

Melatonin, the hormone synthesized mainly by the pineal gland, is a key member of the complex monoaminergic signaling system, and a circadian regulator with pleiotropic functions. This ubiquitary lipophilic and hydrophilic molecule acts both at cellular and subcellular level, exerting anti-inflammatory, anti-oxidative and anti-apoptotic activities, extremely important in the nervous system, given its high vulnerability to oxidative injury. Melatonin deprivation and the consecutive chronodisruption are associated with multiple behavioural abnormalities, psychiatric disorders and neurodegenerative diseases. The present review summarizes the available information concerning the link between melatonin, monoaminergic neurotransmission and the pathophysiological bases of these conditions.