Miracle-dz/UniFAR-FTUs huggingface dataset:
Establishment of an In Vivo Xenograft Mouse Model of a Subcutaneous Submillimeter HT-29 Tumor Formed from a Single Spheroid Transplanted Using Radiation-Crosslinked Gelatin Hydrogel Microwell

Colorectal cancer is a frequent cause of death worldwide. The detection and treatment of small nodules are crucial for improving survival of colorectal cancer patients. Submillimeter tumors are useful tools for developing novel methods to approach this issue. However, there are no suitable in vivo models that allow easy monitoring of the growth of these tumors. This study established a xenograft mouse model of subcutaneous submillimeter tumors with human colorectal cancer HT-29 cells. We transplanted a single spheroid formed by HT-29 cells expressing red fluorescent protein (RFP) (HT-29-RFP). Additionally, we adopted our newly developed radiation-crosslinked gelatin hydrogel microwells (rGHMs), which can be used as a culture base to form spheroids and as a transplantation scaffold with biocompatibility and biodegradability. Spheroids approximately 700 μm in size were uniformly created in seven days in the respective rGHMs. Every single spheroid was extracted either with or without rGHM and transplanted into the subcutis of severe combined immunodeficiency (SCID) mice (n = 4). After 21 days, the spheroids inoculated together with rGHM successfully formed uniform subcutaneous submillimeter tumor xenografts that were observable in vivo in a stereoscopic fluorescence microscope in all transplanted mice. In contrast, spheroids transplanted without rGHM also developed small tumors in all mice but showed higher variability in size than those transplanted with rGHM. During transplantation, the rGHM ensured easy handling and stabilization of the position of a single spheroid. Inoculation of spheroids with rGHM in the nude mice was similarly examined (n = 4), showing that only one out of four mice formed tumors. In conclusion, rGHM effectively formed spheroids and created uniformed xenografted submillimeter tumors of HT-29-RFP in SCID mice. Our model could provide a useful platform to develop medicines and methods for detection and treatment of small nodules of colorectal cancer.
Pengungkapan Corporate Social Responsibility dan Kinerja Keuangan Perusahaan Perbankan

A company Development can made the ekspoitation of natural resources to be higher, so it is important for the companies to carry out CSR activities. This study aims to determine the effect of corporate social responsibility disclosure on financial performance in Bank sector as proxied by eeturn on assets (ROA) and return on equity (ROE). The sample was obtained using purposive sampling method and the number of research samples was 19 companies with a total of 95 observations. The data analysis technique in this study was panel data regression analysis. The results show that corporate social responsibility (CSR) disclosure has a positive and significant effect on financial performance in bank sector as proxied by return on assets (ROA) and return on equity (ROE). The implication of this research can contribute to the empirical study of stakeholder theory and equity theory. The implication of this research is that it can be taken into consideration in decision making by stakeholders and company management. Keywords: CSR Disclosure; ROA; ROE.
Personality Recognition by Modelling Person-specific Cognitive Processes using Graph Representation

Recent research shows that in dyadic and group interactions individuals' nonverbal behaviours are influenced by the behaviours of their conversational partner(s). Therefore, in this work we hypothesise that during a dyadic interaction, the target subject's facial reactions are driven by two main factors: (i) their internal (person-specific) cognition, and (ii) the externalised nonverbal behaviours of their conversational partner. Subsequently, our novel proposition is to simulate and represent the target subject's (i.e., the listener) cognitive process in the form of a person-specific CNN architecture whose input is the audio-visual non-verbal cues displayed by the conversational partner (i.e., the speaker), and the output is the target subject's (i.e., the listener) facial reactions. We then undertake a search for the optimal CNN architecture whose results are used to create a person-specific graph representation for recognising the target subject's personality. The graph representation, fortified with a novel end-to-end edge feature learning strategy, helps with retaining both the unique parameters of the person-specific CNN and the geometrical relationship between its layers. Consequently, the proposed approach is the first work that aims to recognize the true (self-reported) personality of a target subject (i.e., the listener) from the learned simulation of their cognitive process (i.e., parameters of the person-specific CNN). The experimental results show that the CNN architectures are well associated with target subjects' personality traits and the proposed approach clearly outperforms multiple existing approaches that predict personality directly from non-verbal behaviours. In light of these findings, this work opens up a new avenue of research for predicting and recognizing socio-emotional phenomena (personality, affect, engagement etc.) from simulations of person-specific cognitive processes.
Geochemical Distribution of Some Heavy Metals in Agricultural Soil and Their Environmental Impacts in Kirkuk, Northern Iraq

This study is based on agricultural soil samples which are collected along three traverses (A, B, C), near the gypsum quarries located near the village of Bajwan north of Kirkuk city, to conduct a geochemical analysis and determining some heavy elements (Co, Cr, Ni, Cu, Sr, Pb, Cd) levels in the surface and subsurface soil horizons, and to indicate the potential sources of contamination with these elements. Accordingly, 30 samples were collected (six samples from travers A, five samples from travers B, and four samples from travers C) from the soil for each of the surface and subsurface levels. The results showed that the average concentrations of most studied elements increased in the subsurface soil compared to the surface soil, as a result of the influence of different geological and environmental conditions on the distribution of these elements in different soil horizons. The concentrations of the studied elements (Co, Ni, Cd) are more than their natural concentrations when compared to the natural abundance of these elements in the earth's crust, which indicates an increase in the concentration of these elements in the soil as a result of the proximity of the study area to the oil industries activities, causing the emission of high concentrations of heavy elements. As well as the traffic density of vehicles, causing the release of high concentrations of some elements. The geo accumulation factor (Igeo) indicates that most of the soil samples within different horizons of most of the heavy elements are uncontaminated to moderately contaminated, and moderately contaminated for cadmium. Also, by calculating the RI and the environmental risk factor (Er), it was found that the relative content of cadmium in soil samples recorded a considerable potential ecological risk to a high potential ecological risk. This indicates high affinity of cadmium in the soil as its infiltration into the subsurface layers.
A climate database with varying drought‐heat signatures for climate impact modelling

Extreme climate events, such as droughts and heatwaves, can have large impacts on the environment. Disentangling their individual and combined effects is a difficult task, due to the challenges associated with generating controlled environments to study differences in their impacts. One approach to this problem is creating artificial climate forcing with varying magnitude of univariate and compound extremes, which can be applied to process‐based impact models. Here, we propose and describe a set of six 100‐year long climate scenarios with varying drought‐heat signatures that are derived from climate model simulations whose mean climate is comparable to present‐day climate conditions. The changes in extremes are most notable in the 3 months in which vegetation activity is highest and where arguably hot and dry extremes may have the largest impacts. Besides a control scenario representing natural variability (Control), one scenario has neither heat nor drought extremes (Noextremes), one has univariate extremes but no compound extremes (Nocompound), one has only heat extremes but few droughts (Hot), one has only droughts but few heatwaves (Dry), and one has many compound heat and drought extremes (Hotdry). These scenarios differ only moderately in their global mean climate (about 0.3°C in temperature and 6% in precipitation) and do not contain any long‐term trends. The data are provided on a daily timescale over land (except Antarctica and parts of Greenland) on a regular 1° × 1° grid. These scenarios were constructed primarily to investigate the impact of varying drought‐heat signatures on vegetation and the terrestrial carbon cycle. However, we believe that they may also prove useful to study the differential impacts of droughts and heatwaves in other areas, such as the occurrence of wildfires or crop failure. The data described here can be found on zenodo (https://doi.org/10.5281/zenodo.4385445, Tschumi et al., 2020).
Telemedicine: Current Status and Future Perspectives

41 Using a widely available technology (a computer with a webcam and dedicated platforms that can ensure patients’ data safety), a virtual consultation can be established between patient and clinicians in total safety. Besides the evident convenience for patients (who can overcome the travel and parking issues and are not required to find an accompanying person), telemedicine offers some peculiar advantages, such as: y getting a more informal assessment of mental status thanks to the opportunity to observe patients in their home environment; y gather other social information, e.g.: y living environment; y interactions with family and caregivers; y patients’ lives at home [11]. The most significant question is whether telemedicine is comparable (“as good as”) to in person consultation in terms of outcomes and quality. In some non-inferiority studies, tele-psychiatric outcomes were deemed as not inferior to in person care in terms of diagnosis and treatment, decreasing length of hospital stays, improving medication adherence, and reducing symptoms in conditions such as posttraumatic stress disorder on an evidenced based level [2]. Unfortunately, this comparison has not been made in other specialties. Despite its attractivity, this tool has some obvious limitations: Telemedicine and telehealth are often considered synonyms, but while telemedicine refers particularly to clinical patient care, telehealth includes all the educational, administrative, and other non-clinical healthcare activities. Although the roots of telemedicine date quite far back, the modern era of telemedicine started in 1968: in that date, the Massachusetts General Hospital (MGH) became the first hospital-based multispecialty telemedicine practice offering remote clinical examinations to travelers and airport workers at Logan International Airport [1]. Historically, telemedicine has been applied in several medical specialties such as psychiatry, cardiology, pediatrics, gynecology, geriatrics, with general patient satisfaction [2-9]. With the evolving technology, more specific applications of telemedicine have been developed, e.g., tele-dermatoscopes (pecific general patient cameras mounted on webcams or smartphones and controlled by app) have been used to monitor skin lesions [10]. During the COVID-19 pandemic, telemedicine has been increasingly used to bypass the severe restrictions for outpatients’ visits and access to hospitals. As often happens, an urgent need (in this case the necessity to guarantee follow up for patients suffering from chronic conditions who cannot postpone their visits) became the driving force to rapidly develop and implement telemedicine and telehealth systems. Editorial
Metamodelling for geotechnical reliability analysis with noisy and incomplete models

ABSTRACT A kriging-based metamodelling approach for analysing the structural reliability of a sheetpile wall in a dyke is formulated. This specific problem is characterised by high target reliabilities ( ) in combination with a noisy and incomplete numerical model response. Starting from the original formulation of active learning kriging-based Monte Carlo simulation (AK-MCS), a robust two-stage metamodel framework is formulated in combination with adaptive multiple importance sampling, Gaussian process classification and kernel enhancements. Learning functions and convergence criteria are revised to maintain consistency with the metamodel enhancements. The developed metamodel is applied in the reliability analysis of a soil-structure interaction problem involving a sheetpile wall in a dyke body, which is representative of a class of problems encountered in engineering practice. Low dimensional example studies demonstrate the workings of the model and give insight into the model response. Full probabilistic analyses are then performed to estimate the probabilities of structural failure in a reliability updating context. The results show that after several necessary enhancements of the classical formulations, metamodelling approaches can be used successfully in combination with noisy and incomplete computational models as are often encountered in geotechnical engineering practice.
Mirage: estimation of ancestral gene-copy numbers by considering different evolutionary patterns among gene families

Abstract Motivation Reconstruction of gene copy number evolution is an essential approach for understanding how complex biological systems have been organized. Although various models have been proposed for gene copy number evolution, existing evolutionary models have not appropriately addressed the fact that different gene families can have very different gene gain/loss rates. Results In this study, we developed Mirage (MIxtuRe model for Ancestral Genome Estimation), which allows different gene families to have flexible gene gain/loss rates. Mirage can use three models for formulating heterogeneous evolution among gene families: the discretized Γ model, probability distribution-free model and pattern mixture (PM) model. Simulation analysis showed that Mirage can accurately estimate heterogeneous gene gain/loss rates and reconstruct gene-content evolutionary history. Application to empirical datasets demonstrated that the PM model fits genome data from various taxonomic groups better than the other heterogeneous models. Using Mirage, we revealed that metabolic function-related gene families displayed frequent gene gains and losses in all taxa investigated. Availability and implementation The source code of Mirage is freely available at https://github.com/fukunagatsu/Mirage. Supplementary information Supplementary data are available at Bioinformatics Advances online.
Islamic Capital Market for Social Development: Innovating Waqf Mobile Sukuk in Sub-Saharan Africa

The use of sukuk in social development is an under-researched area, especially in the context of Sub-Saharan Africa. Although the Kenyan government has issued the world’s first mobile bond and the Indonesian government has used mobile platforms as a distribution channels for the issuances of retail sukuk, little is known about mobile sukuk and its potential from the perspective Islamic social finance. This paper aims to explore the opportunities and challenges of mobile sukuk for social development, namely perpetual waqf mobile sukuk, where the concept of waqf is combined with qard. It is anticipated that the proposed type of sukuk has the potential to be used as an Islamic social finance instrument.
Can Naked Singularities Exist Without Violating The Laws of Black Hole Thermodynamics?

According to the cosmic censorship conjecture, it is impossible for nature to have a physical singularity without a horizon because if it were to arise in any formalism, for instance as an extremal black hole (Kerr or Reissner-Nordstrom) then the surface gravity κ = 0, which is a strict violation of the third law of black hole thermodynamics. In this paper we explore whether a true singularity can exist without defying this law.
Low-noise, Frequency-agile, Hybrid Integrated Lasers for LiDAR

We demonstrate a hybrid photonic integrated laser that exhibit intrinsic linewidth of 40 Hz, while offering unsurpassed megahertz actuation bandwidth with the tuning range larger than 1 GHz, attained by a DFB laser self-injection locking to a high-Q Si3N4 microresonator with AlN piezoelectrical actuator, allowing both single line operation and microcomb generation. We develop a compact FMCW LiDAR engine with triangular chirp optical signals at a rate up to 1 MHz, without requiring any linearisation.
A Fossil Sea Turtle (Reptilia, Pan-Cheloniidae) with Preserved Soft Tissues from the Eocene Fur Formation of Denmark

ABSTRACT A new hard-shelled sea turtle (Pan-Cheloniidae) with vestigial soft tissues from the lower Eocene (Ypresian) Fur Formation of Denmark is described and illustrated. The fossil (DK 807) comprises a partial, yet fully articulated carapace (estimated original length ∼50 cm) where the individual bones mostly are preserved in three dimensions, together with an intact sacrum, a consecutive series of articulated caudal vertebrae, a complete pelvic girdle, and both hind limbs. Primitive characters in the pelvis and limbs, along with free ribs that contact the posterior peripherals suggest affinity with the extinct pan-cheloniid Eochelone; however, because of the incomplete nature of the fossil, DK 807 is kept in open nomenclature. Associated with the skeletal elements are soft-tissue residues that include remnant epidermal scutes and a nearly complete outline of a rear paddle. The flipper-shaped halo likely represents traces of skin preserved as a dark bedding-parallel film. Its wrinkled and striated surface texture attests to an originally scaleless configuration comparable to the soft integument of living adult dermochelyid (leatherback) turtles, and unlike that of extant cheloniids. Scratches, scars and indentations on the bony carapace likely represent incompletely healed bite marks inflicted by a crocodylian or another large-sized seagoing tetrapod.
Una Fórmula Que Genera Números Primos

Existen diversas clases de funciones que generan números primos, algunas de ellas son capaces de producir al enésimo número primo; como es el caso de la fórmula de Willans (1964) y Ruiz y Sondow (2014). En el presente trabajo se ofrece como propuesta una función a(n) basada en la función 2 divisor d(n), la cual genera números primos. Para la secuencia definida como: a(n) = n · 2/(n- d(n)) con n > 1, se demuestra que a(n) produce solo ceros y números primos de tal manera que: a(n) = 0 si n es compuesto o a(n) = n si n es primo
A SEVERE STENOSIS OF THE PROXIMAL SEGMENT OF THE LEFT ANTERIOR DESCENDING CORONARY ARTERY PRESENTING WITH AN INFERO-LATERO-BASAL ST-ELEVATION MYOCARDIAL INFARCTION : A CASE REPORT

A 57-years-old man presented in our department of emergency with an acute chest pain infarct-like. The electrocardiogram realised showed an ST elevation in the infero-latero-basal leads suggesting an occlusion of the right coronary artery or the left circumflex coronary artery. However, the coronary angiography that was performed showed a subocclusion of the proximal left anterior descending coronary artery, in contrast to the expected results. This case was reported using electrocardiography and coronary angiography data and the electrocardiogram changes after a percutaneous coronary intervention. The particularity of this case lies in the lack of correlation between the electrocardiographic Changes and the Coronary Angiographic Findings.
A New Method for Haptic Shape Discriminability Detection

Touch shape discrimination is not only closely related to tactile mechanoreceptors but also higher cognitive function. However, previous shape discrimination methods are difficult to complete in a short time, and the devices are complicated to operate and not user-friendly for nonprofessionals. Here, we propose a new method, the evaluation quantity of which is the angle discrimination threshold. In addition, to make this method easy to use for nonprofessionals, we designed a haptic angle sorting system, including the device and software. To evaluate this method, the angle sorting and two-angle discrimination experiments were compared, and it was found that participants spent significantly less time in the former experiment than in the latter. At the same time, there is a strong correlation between the performance of angle sorting and two-angle discrimination, which shows that the angle threshold obtained by the new method can also be used to evaluate the ability of touch discrimination. Moreover, the angle sorting results of different age groups also further demonstrate the feasibility of the method. The efficiency of this new method and the effectiveness of the system also provide a convenient means for evaluating haptic shape discrimination, which may have potential clinical application value in the early diagnosis of peripheral neuropathy and even in the evaluation of cognitive function.
Ionic Liquid and Sulfuric Acid-Based Pretreatment of Bamboo: Biomass Delignification and Enzymatic Hydrolysis for the Production of Reducing Sugars

The present work investigates the efficiency of two pretreatment pathways of biomass, namely ionic liquid (IL) and dilute sulfuric acid (H2SO4) hydrolysis. Both processes are compared in terms of their composition and enzymatic saccharification efficacy. For the IL process, bamboo was dissolved in 1-ethyl-3-methylimidazolium acetate ([Emim][OAc]) at different temperatures (90, 110, 130, and 150 °C) for 3 h. These pretreated bamboo samples were then characterized by thermogravimetric analysis and X-ray diffraction to evaluate the biomass crystallinity and thermal decomposition temperature. The crystallinity index, thermal decomposition temperature, hemicellulose, and lignin content of bamboo were found to decrease after [Emim][OAc] pretreatment. Further, the IL pretreated biomass significantly enhanced the enzymatic saccharification of cellulose component of bamboo. The enzymatic hydrolysis rate for IL pretreated biomass was 4.7 times higher than that of the acid pretreated biomass. This was primarily attr.
Business Combination Under Common Control (BCUCC) - What Kind of Disclosure is Enough? The Polish Experience

Purpose: The assessment of the scope and quality of disclosures about BCUCC, which are excluded from the scope of IFRS, published by Polish public companies in their annual financial reports prepared following IFRS. Design/Methodology/Approach: The research uses qualitative and quantitative methods. The research methodology was based mainly on critical analysis of the literature on the subject, quantitative methods, content analysis of financial statements, and synthesis of results. Findings: Most Polish public companies that did not account for BCUCC using IFRS provided at least minimal scope of disclosures necessary for users of financial information to decide the effects that BCUCC had on the information presented in the financial statement. Companies that applied the Accounting Act to substitute for the lacking IFRS solution related to BCUCC provided a higher level of disclosure than other companies. Practical Implications: The use of national accounting regulations may provide a better quality of disclosures about BCUCC. Originality/Value: This paper provides insight into how the problem is dealt with in practice and may be used to form a commentary on the current IASB project focusing on BCUCC.