Miracle-dz/UniFAR-FTUs huggingface dataset:
Cellular and Natural Viral Engineering in Cognition-Based Evolution

ABSTRACT Neo-Darwinism conceptualizes evolution as the continuous succession of predominately random genetic variations disciplined by natural selection. In that frame, the primary interaction between cells and the virome is relegated to host-parasite dynamics governed by selective influences. Cognition-Based Evolution regards biological and evolutionary development as a reciprocating cognition-based informational interactome for the protection of self-referential cells. To sustain cellular homeorhesis, cognitive cells collaborate to assess the validity of ambiguous biological information. That collective interaction involves coordinate measurement, communication, and active deployment of resources as Natural Cellular Engineering. These coordinated activities drive multicellularity, biological development, and evolutionary change. The virome participates as the vital intercessory among the cellular domains to ensure their shared permanent perpetuation. The interactions between the virome and the cellular domains represent active virocellular cross-communications for the continual exchange of resources. Modular genetic transfers between viruses and cells carry bioactive potentials. Those exchanges are deployed as nonrandom flexible tools among the domains in their continuous confrontation with environmental stresses. This alternative framework fundamentally shifts our perspective on viral-cellular interactions, strengthening established principles of viral symbiogenesis. Pathogenesis can now be properly appraised as one expression of a range of outcomes between cells and viruses within a larger conceptual framework of Natural Viral Engineering as a co-engineering participant with cells. It is proposed that Natural Viral Engineering should be viewed as a co-existent facet of Natural Cellular Engineering within Cognition-Based Evolution.
Aircraft measurements of ice in Florida cumuli

Aircraft observations of cloud and precipitation particles just below the tops of Florida cumuli at temperatures near −4 and −9°C show that fresh, vigorously growing towers (updraughts of order 10 ms−1) tend to contain low concentrations ( 101−1). The ice phase, mostly as graupel, was often found to appear within a period of five minutes. Cloud drops of diameter >25μm were always found to be present in concentrations of 10 to 100cm−3 between −4 and −6°C, a condition, according to criteria established by laboratory studies, necessary for secondary ice crystal production by the riming of graupel particles. Vapour-grown columns in concentrations as high as 501−1 were sometimes observed at the colder level, an observation consistent with the concept of a copious production zone below. Supercooled raindrops in concentrations > 11−1 occur in many regions of the clouds, often concurrently with graupel and crystalline ice. It is shown by means of a simple analytical model that aerodynamic capture of secondary ice particles by the supercooled raindrops and the subsequent transformation of the raindrops to new splinter-producing graupel may be the main mechanism responsible for the rapid increase in observed graupel concentrations. The coalescence processes are therefore seen to be instrumental in the evolution of the ice phase. This process is favoured in lower updraught regions where the particles can be retained in the −4 to −6°C production zone long enough (≃100s) for the entire feedback process of splinter production, capture, drop freezing and renewed splinter production to take place.
Mathematical Methods for the Quantification of Actin-Filaments in Microscopic Images

In cell biology confocal laser scanning microscopic images of the actin filament of human osteoblasts are produced to assess the progress of cellular development. The actin filament can be regarded as a geometrically embedded graph of bright ridges in the image relief. The approach using skeletonization of a cumulative level set is well documented in the literature. This thesis aims at an advanced approach for more accurate quantitative measurements about the morphology of the bright-ridge set of microscopic images and thus about the actin filament in its appearance in confocal laser scanning microscopic images. Therefore automatic preprocessing, tagging and quantification interplay to approximate the capabilities of the human observer to intuitively recognize the filaments correctly. The achieved accuracy is proven by numerical experiments with random models of the data and with application data for already confirmed hypotheses.
Deleterious consequences: How Google's original sociotechnical affordances ultimately shaped ‘trusted users’ in surveillance capitalism

Google dominates around 92% of the search market worldwide (as of November 2022), with most of its revenue derived from search advertising. However, Google's hegemony over search and the resulting implications are not necessarily accidental, arbitrary or (un)intentional. This article revisits Brin and Page's original paper, drawing on six of their key innovations, concerns and design choices (counting citations or backlinks, trusted user, advertising, personalization, usage data, smart algorithms) to explain the evolution of Google's hypertext search engine technologies through ‘moments of contingency’, which led to corporate lock-ins. Underpinned by analyses of patents, statements and secondary sources, it elucidates how early Google considerations and certain affordances not only came to shape the web (backlinks, trusted user, advertising) but subsequently facilitated contemporary surveillance capitalism. Building upon Zuboff's ‘Big Other’, it describes the ways in which Google as an infrastructure is intertwined with Big Data's platformization and the ad infinitum collection of usage data, beyond just personalization. This extraction and refinement of usage data as ‘behavioural surplus’ results in ‘deleterious consequences’: a ‘habit of automaticity,’ which shapes the trusted user through ‘ubiquitous googling’ and smart algorithms, whilst simultaneously generating prediction products for surveillance capitalism. Advancing Latour's ‘predicting the path’ of technological innovation, this cause-and-effect story contributes a new taxonomy of Google sociotechnical affordances to critical STS, media history and web search literature.
Street semantic segmentation based on lightweight network

Aiming at school road condition monitoring, a semantic segmentation method based on lightweight network is proposed. The original DeeplabV3+ model is used to train the self-made data set to obtain MIoU values of various types, and then different trunk networks are replaced for comparative experiments. Then the original DeeplabV3+ model is adjusted and upgraded and optimized to conduct comparative training with the original model. Finally, the trunk network of the optimized DeeplabV3+ model was replaced for comparative experiments. The results show that the upgraded and optimized DeeplabV3+ model can accurately segment each category with MIoU of 88.7% and original MIoU of 77.8%, and the optimized model has better effect. MobileNetV2 performs better than Xception in any of the different trunk networks.
A review of Core Competencies of Relational Psychoanalysis: A Guide to Practice Study and Research

Here we have a book that strives and mostly succeeds, to capture the scope and the marrow of Relational Psychoanalysis in all of its media: practice, theory and research. A book with the title Core Competencies of Relational Psychoanalysis; A Guide to Practice, Study, and Research can seem both awe inspiring and confusing at the same time. To develop a broad and deep, comprehensive evaluation of any theory or mode of thought and praxis and to then further break that theory down into essential components, would be an overwhelming task. This undertaking for Relational Psychoanalysis presents special challenges, indeed. Relational thought was born in reaction to the perceived authoritarianism of other models of psychological and analytic thought. One must avoid reducing the definitions of postmodernism to a critique of metanarratives since then it will be almost impossible to compare the truthfulness of one story-line or theory with another. The least that a psychoanalyst might expect from a text-like work is an adherence to objectivity and a desire for all the so-called “facts” in a vivid and hierarchical manner. The pervasive multiplicity of Relational Theory seems a further obstacle to classification. Multiplicity pervades the relational world. It is found in multiple theories of motivation; the notion of multiple selves; multiple perspectives; the critique on binary thinking especially
Rational symbolic cubature rules over the first quadrant in a Cartesian plane

In this paper we introduce a new symbolic Gaussian formula for the evaluation of an integral over the ﬁrst quadrant in a Cartesian plane, in particular with respect to the weight function w ( x ) = exp( − x T x − 1 /x T x ) , where x = ( x 1 ,x 2 ) T ∈ R 2+ . It integrates exactly a class of homogeneous Laurent polynomials with coefﬁcients in the commutative ﬁeld of rational functions in two variables. It is derived using the connection between orthogonal polynomials, two-point Padé approximants, and Gaussian cubatures. We also discuss the connection to two-point Padé-type approximants in order to establish symbolic cubature formulas of interpolatory type. Numerical examples are presented to illustrate the different formulas developed in the paper.
Modeling research and simulation analysis of large hydro generator based on deep belief network

In view of the problems of complex modeling process, nonlinear and poor multi parameter coupling expression in the mathematical mechanism modeling of hydro generators, and the complex problems of wind and solar energy access and grid interconnection faced by large hydro generators, the advantages and disadvantages of mechanism modeling and data-driven are compared and analyzed, and the feasibility of deep belief network algorithm on hydro generator modeling is studied, A large-scale hydro generator model based on the data-driven method of deep belief network is established. A total of 129600 sets of actual data of a unit are used for model training and verification, and simulation tests are carried out under the no-load frequency disturbance of the unit to verify the effectiveness and stability of the model.
Design of Virtual Experiment Teaching of Inorganic Chemistry in Colleges and Universities Based on Unity3D

—Focusing on the high-cost issues and many risk and uncontrollable factors in chemical experiment teaching in modern colleges and universities, a virtual reality inorganic chemistry (IC) simulation experiment strategy based on Unity3D technology is studied. Starting from the needs of IC experiment teaching, a collision detection algorithm (CDA) between the experimental environment and the virtual scene with Unity3D as the main technical framework is designed. The results show that the collision detection (CD) time of the CDA designed in the research is 99ms, the detection average value is 95.29%, and the accuracy variance is 0.021. The above values are better than the same type of algorithm. This shows that the CD accuracy and efficiency are higher, and the performance is stronger. In addition, the virtual chemistry experiment designed in the research can significantly improve the students’ using attitude from the three main aspects of perceived ease of use (PEU), immersion and interactivity, and then enhance the students’ learning effect. Therefore, the method of virtual experiment teaching of IC in colleges and universities based on Unity3D is effective and provides a new idea for modern teaching reform.
Initially Suspected Anaphylaxis Following Iodinated Contrast: Jod-Basedow Phenomenon in a 73-Year-Old Female Without a History of Thyroid Dysfunction

The Jod-Basedow phenomenon (JB phenomenon), also referred to as “iodine-induced hyperthyroidism,” rarely occurs. Radiological imaging using iodinated contrast contains a dose of 300 to 1221 mg of iodine per kilogram, which can transiently induce clinically significant hyperthyroidism (referred to as Jod-Basedow Syndrome) in euthyroid patients. Hence, the reporting of such events is important for clinicians to be aware of, to prevent unnecessary iodine-based imaging. Underlying thyroid abnormalities, including latent Graves’ disease, autoimmune thyroiditis, use of iodine-containing foods or medications, such as amiodarone, and Lugol’s iodine have been shown to increase the risk of JB phenomenon. In terms of the pathophysiology of the JB phenomenon, when iodine exposure is in excess, increased iodine leads to increased hormone synthesis, and with an absence of auto-regulation, this can lead to thyrotoxicosis. In this case report, we describe the iodine-induced JB phenomenon in a 73-year-old female with no prior thyroid dysfunction, who was initially admitted for pyelonephritis and was eventually transferred to the intensive care unit secondary to suspected anaphylaxis.
Problem-Based Learning and Its Effects on Achievement and Attitude in Science Among Grade 8 Students

The study used quasi-experimental research design to investigate the effects of problem-based learning (PBL) on the attitude and achievement in science among Grade 8 students in a public high school in the Philippines. A problem-based learning module was developed using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) model. It was used in teaching science. On the other hand, the Attitude Questionnaire in Science was adopted to describe the attitudes of students in both the control and experimental groups. Data were analysed through descriptive statistics. Prior to teaching science using PBL, the students showed different attitudes and had a low achievement in terms of mean percentage score. But after the implementation of PBL instruction, the students got positive attitude in science. They find the experience interesting and challenging at the same time. The PBL instruction in the experimental group caused a better understanding of topics in science than the lecture-based instruction. Given the results, the study recommended specific teaching techniques that will be useful in applying PBL to develop the students’ attitude and achievement in science especially in a blended-learning setup in this new normal.
History of pediatric TBI hospitalization and current child-parent relationship quality in China

ABSTRACT Background Long-term child-parent relationship quality following hospitalization for pediatric traumatic brain injury (TBI) remains poorly understood. Objective We tested whether current child-parent conflict and closeness were related to the children’s history of TBI-related experiences and contemporary child/family characteristics. Methods The sample included 202 Chinese children (Boys: 60.4%) with a history of hospitalization for TBI. On average, the children were 11.2 years old (SD = 1.59) and sustained TBI at 8.5 years old (SD = 1.6). TBI-related data were obtained from hospital medical records. Parents provided data on child-parent closeness, child-parent conflict, and parental efficacy 2–4 years (M = 2.7, SD = 0.7) after discharge. Results Forty-nine children (24.3%) had mild TBI, 139 (68.8%) had moderate TBI, and 14 (6.9%) had severe TBI. Surgical intervention occurred among 128 (63.4%) of the 202 children. Contemporaneous child and family characteristics explained 19% of the variance, history of surgery, length of hospitalization, and recovery status explained another 7%, and the interaction between length of hospitalization and parental efficacy explained another 4% in child-parent conflict. Contemporaneous child and family characteristics explained 29% of the variance, and TBI-related variables explained another 2% in child-parent closeness. Conclusion Post-TBI child-parent relationship was more associated with child/family characteristics than with TBI variables. Practitioners and families should be aware of the long-term challenges to child-parent relationship following hospitalization for pediatric TBI.
Gravitomagnetic Effect in Magnetars

Rotating bodies in General Relativity produce frame dragging (or Lense-Thirring effect), also known as the {\it Gravitomagnetic effect} in analogy with Classical Electromagnetism. In this work, we study the effect of strong magnetic fields in neutron stars on the Gravitomagnetic effect, which is produced as a result of its rotation. We show that the magnetic field has a non-negligible impact on frame dragging. The maximum effect of the magnetic field appears along the polar direction, where the Lense-Thirring frequency decreases with increase in magnetic field, and along the equatorial direction, where its magnitude increases. For intermediate angles, the effect of the magnetic field decreases, and goes through a minimum for a particular angular value at which magnetic field has no effect on Gravitomagnetism. Beyond that particular angle Gravitomagnetic effect increases with increasing magnetic field. We try to identify this "Null Region" for the case of magnetars, both inside and outside, as a function of the magnetic field. We demonstrate a thought experiment to find the magnetic field and the null region of a particular pulsar using the frame dragging effect.
Deteksi Stasioneritas Data Runtun Waktu Melalui Uji Akar-akar Unit

One of the important types of data used in emperical analysis is time series data. In regressing a time series variable on another time series variable(s), one often obtains a very high R 2 even though there is no meaningful relationship between the two variables. Sometime we expect no relationship between the two variables, yet a regression of one on the other variable often shows a significant relationship. This situation exemplifies the problem of spurious regression. Spurious regression problem may arise from regressing a nonstationary time series variable on one or more nonstationary time series variable(s). Therefore, it considers important to be able to determine whether a time series data is stationary or not. A time series data is called stationary if it does not contain any unit roots. A test of stationary (or nonstationary) has become widely popular since the last two decades is the unit root test. This paper is meant to explain how to use unit root test in time series model especially for an autoregressive time series model. Key words: autoregressive time series, stationary, unit root
Prognostic Value of Peritoneal Lavage Cytology in Potentially Resectable Pancreatic Cancer Stratified by Cytologic Status.

BACKGROUND/AIM Patients with pancreatic ductal adenocarcinoma (PDAC) with positive peritoneal lavage cytology (CY) reportedly have poor prognoses. However, the value of diagnosis of suspicious for malignancy on CY is unknown. This study aimed to elucidate the prognostic impact of CY by focusing on CY subgroups. PATIENTS AND METHODS Data were collected from 231 resectable PDAC patients who underwent curative-intent resection. Patients were divided into three CY-based groups: negative (CY0), suspicious for malignancy (CY-S), and positive (CY1). Clinicopathological characteristics and prognostic factors were analyzed. RESULTS CY1 and CY-S were diagnosed in 7.8% and 3.9% of the patients, respectively. The CY1 group had significantly larger tumors and higher frequencies of distal tumors, anterior pancreatic tissue invasion, retropancreatic tissue invasion, and R1 resection than the CY0 group. Patient characteristics did not differ between the CY0 and CY-S groups. The CY1 group exhibited worse survival than the CY0 and CY-S groups (median survival time: 18.8 vs. 39.6 months, p=0.0021 and vs. 62.2 months, p=0.018). Multivariate analysis for survival indicated that a tumor size >2 cm, preoperative CA19-9 value >100 U/ml, CY1, lymph node metastasis, R1 resection, and lack of adjuvant chemotherapy were associated with poor prognosis. Both the CY1 and CY-S groups had higher frequencies of peritoneal recurrence than the CY0 group (50% vs. 11.8%, p<0.001 and 44.4% vs. 11.8%, p=0.019). CONCLUSION The prognosis of the CY1 group was poor. Although CY-S was associated with a higher frequency of peritoneal recurrence than CY0, the long-term outcomes of patients with surgical treatment were acceptable.
The Reference Class Problem and Probabilities in the Individual Case: A Response to Fuller

Abstract In a recent article on the interpretation of probability in evidence-based medical practice, Jonathan Fuller argues that we should interpret probabilities as credences in individual cases because this avoids some important problems. In this article, I argue that Fuller misidentifies the real issue and so fails to offer a meaningful solution to it. The real problem with making probability judgments in individual cases is deciding which objective considerations ought to constrain our formation of credences. This leads us to the reference class problem, which, as Alan Hajek argues, is a problem for any interpretation of probability.
Multiple Sentinels in a Cooperative Breeder Synchronize Rather Than Coordinate Gazing

Simple Summary Sentinels monitor their surroundings from vantage points for early detection of predators and rivals. The presence of multiple sentinels in a group may allow sentinels to relax their vigilance, especially if sentinels monitor different areas at the same time. We investigated sentinel behavior in groups of the Florida scrub jay (Aphelocoma caerulescens). Sentinels in this species turn their heads frequently to monitor different areas for potential threats. As predicted, we found that sentinels turned their heads less frequently in the presence of other sentinels. However, multiple sentinels tended to gaze in the same direction at the same time more often than predicted by chance alone. Gaze synchronization reduces the efficiency of collective detection by increasing the amount of time that some areas are not monitored by any sentinel. Despite the benefits of the presence of other sentinels, our results highlight the limits to collective detection when multiple individuals are vigilant at the same time. Abstract Sentinels can detect predators and rivals early by monitoring their surroundings from vantage points. Multiple sentinels in a group may reduce the perceived predation risk by diluting the risk and increasing collective detection, especially if sentinels monitor different areas at the same time. We investigated sentinel behavior in groups of the Florida scrub jay (Aphelocoma caerulescens). Sentinels in this species turn their heads frequently to monitor different areas for threats. As predicted, we found that sentinels turned their heads less frequently in the presence of other sentinels. Multiple sentinels, however, tended to gaze in the same direction at the same time more often than predicted by chance alone. Gaze synchronization reduces the efficiency of collective detection by reducing visual coverage at any one time at the group level. Despite the benefits of the presence of other sentinels, our results highlight the limits to collective detection when multiple individuals are vigilant at the same time.