Miracle-dz/UniFAR-FTUs huggingface dataset:
Environmental Performance, Kepemilikan Manajerial, Leverage, Profitabilitas dan Pengungkapan Corporate Social Responsibility

The trend of CSR implementation changed when the pandemic started. The research aims to empirically re-examine the effect of environmental performance, managerial ownership, leverage and profitability on CSR disclosure in line with the agency, stakeholder and legitimacy theories. The object of research is the energy sector companies on the IDX with a population of 229 companies for the 2019-2021 period. The sample obtained is 131 observational data obtained by purposive sampling technique. The results of the study show that environmental performance and leverage have a positive effect. Research also proves that managerial ownership and profitability have no effect on disclosure of corporate social responsibility. Keywords: Environmental Performance; Managerial Ownership; Leverage; Profitabilitas; Corporate Social Responsibility.
Self Supervised Learning in Remote Sensing: Quantifying Approaches Effectiveness Across Downstream Tasks

In the remote sensing field, vast amounts of data are available. However, labeling such data is expensive. Self-supervised learning makes it possible to leverage unlabeled data for the training of deep neural network models. This work focuses on the effectiveness of self-supervised pretext tasks for different supervised downstream tasks. Therefore, we compare generative, contrastive, and generative-contrastive pretext tasks across classification and semantic segmentation downstream tasks. Our results show that the contrastive setup is beneficial for remote sensing image classification, whereas the generative-contrastive setup shows the best results for the semantic segmentation downstream task. Therefore, our work indicates that the choice of self-supervised pretext task is an important consideration to optimize downstream task performance.
Effect of Biomass Size and Aspect Ratio on Intra-Particle Tar Decomposition during Wood Cylinder Pyrolysis

The effect of biomass size and aspect ratio on intra-particle tar decomposition has been investigated both numerically and experimentally to achieve a high rate of intra-particle tar decomposition. In one experiment, wood cylinders with a diameter of 8 mm and lengths of 2, 5, and 9 mm were pyrolyzed in an infrared reactor in an argon environment. The final reactor temperature was 973 K and the heating rate was 30 K/s. To make a calculation, a two-dimensional, unsteady state, single particle model was used, and the same convective and radiative heat fluxes were given to the top and side surface of all wood cylinders. Both calculation and experiment showed that tar yield when the length of the biomass was increased and the diameter was kept constant. The calculation showed that, first, tar was formed in the wood cylinder, and then it moved outwards during decomposition. To find an effective aspect ratio of the wood cylinder for further tar decomposition, calculations were also performed in which the aspect ratio (D/L) varied from 0.4 to 6.9 and the wood volume was fixed. As a result, a low aspect ratio was suited for intra-particle tar decomposition because of the difference in the thermal conductivity along the grain and radial directions, although there is an optimum aspect ratio because of the change of residence time. It is well known that the thermal conductivity of unpyrolyzed wood in the radial direction is much lower than that along the grain. By decreasing the aspect ratio, the ratio of the side surface area to total surface area increases. This means that more heat entered from side surface, and low thermal conductivity in the radial direction caused a temperature gradient in the cylinder. When the intra-particle temperature gradient was large, primary tar, which has been formed in the biomass with a relatively low temperature, passed through the side surface layer at high temperatures, enough to advance intra-particle tar decomposition before the tar was released. This resulted in the enhancement of intra-particle tar decomposition.
Invasion Genetics of the Horse-Chestnut Leaf Miner, Cameraria ohridella (Lepidoptera: Gracillariidae), in European Russia: A Case of Successful Involvement of Citizen Science in Studying an Alien Insect Pest

Simple Summary The horse-chestnut leaf miner, Cameraria ohridella Deschka and Dimić, 1986 (Lepidoptera: Gracillariidae), is an ornamental invasive alien insect pest that invaded Russia in the beginning of the 21st century. With the help of volunteers, we clarified the secondary range of species in the European part of Russia and performed extensive sampling of insect specimens for molecular genetic analysis. The pest was confirmed in 24 administrative regions in the European part of Russia. In southern Russia, it produced spectacular outbreaks in 2021. The DNA barcoding data obtained for 201 specimens from European Russia indicates the presence of two haplotypes, which are also known from the secondary range of this species in Eastern and Western Europe. Abstract Based on the intensive monitoring conducted by our team and volunteers in 2021, the secondary range of an alien horse-chestnut leaf miner, Cameraria ohridella Deschka & Dimić, 1986 (Lepidoptera: Gracillariidae), was specified in European Russia. This invasive pest was confirmed in 24 out of 58 administrative regions of Russia, which it has occupied for approximately 16 years. Analysis of the COI mtDNA gene sequenced in 201 specimens collected in 21 regions of the European part of Russia indicates the occurrence of two haplotypes (A and B), which are also present in the secondary range of C. ohridella in Eastern and Western Europe. The haplotype A dominated and was present in 87.5% of specimens from European Russia. In 2021, C. ohridella produced spectacular outbreaks in Aesculus hippocastanum in southern Russia, where it damaged more than 50% of the leaves in trees in 24 out of 30 distant localities. In the south of the country, the pest infested Acer pseudoplatanus, whereas other species of Acer of European, East Asian, and North American origin showed no signs of attacks. Taking into account that Ae. hippocastanum is present in most regions of European Russia, we expect a further range expansion of C. ohridella up to the Ural Mountains.
Capacity of a burst-noise channel

A model of a burst-noise binary channel uses a Markov chain with two states G and B. In state G, transmission is error-free. In state B, the channel has only probability h of transmitting a digit correctly. For suitably small values of the probabilities, p, P of the B $rA G and G $rA B transitions, the model simulates burst-noise channels. Probability formulas relate the parameters p, P, h to easily measured statistics and provide run distributions for comparison with experimental measurements. The capacity C of the model channel exceeds the capacity C(sym. bin.) of a memoryless symmetric binary channel with the same error probability. However, the difference is slight for some values of h, p, P; then, time-division encoding schemes may be fairly efficient.
A Comparison Between Axisymmetric and Slab-Symmetric Cumulus Cloud Models

Abstract Axisymmetric and slab-symmetric cumulus cloud models with Kessler's parameterizations for microphysical processes are developed. By using a staggered grid arrangement and applying a modified upstream difference scheme, erroneous behavior in the center of a simulated cloud, which would result with the use of the ordinary upstream difference scheme, is eliminated. A comparison between the present two models of different geometries confirms in general the conclusions reached in previous studies: the updraft in an aixsymmetric model grows more vigorously than in a slab-symmetric model. However, the ratio of the maximum updraft in the slab-symmetric model to that in the axisymmetric model is 0.53 in this study, notably larger than Murray's 0.12. An analysis of the pressure gradient force associated with could motions reveals that the vertical pressure gradient force due to perturbed pressure is: 1) of the same order of magnitudes as that of the thermal buoyancy force in the core region of the cloud; i.
Physics of thermionic dispenser cathode aging

A dispenser cathode life model (DCLM) was originally published in 1984. More recent life test data have substantiated the basic physics used in the DCLM. However, re-evaluation of the model with this latest data alters the numerical parameters used in the model. The most important modification is the incorporation of the shape factor, α, in the emission equation, so that accurate descriptions of the cathode activity curves (i.e., current versus temperature) can be made as a function of cathode age. The original model was fit only to the cathode current as a function of time for a fixed operating temperature. This revision fits the cathode activity curves as a function of both time and cathode temperature. Variation in cathode current as a function of temperature is quite dependent upon the underlying physics, and gives a better measure of how the internal parameters, such as work function and knee position and knee shape change with time. Knowing these details provides a more accurate measure of how the c.
Overcoming biases and misconceptions in ecological studies

The aggregate data study design provides an alternative group level analysis to ecological studies in the estimation of individual level health risks. An aggregate model is derived by aggregating a plausible individual level relative rate model within groups, such that population‐based disease rates are modelled as functions of individual level covariate data. We apply an aggregate data method to a series of fictitious examples from a review paper by Greenland and Robins which illustrated the problems that can arise when using the results of ecological studies to make inference about individual health risks. We use simulated data based on their examples to demonstrate that the aggregate data approach can address many of the sources of bias that are inherent in typical ecological analyses, even though the limited between‐region covariate variation in these examples reduces the efficiency of the aggregate study. The aggregate method has the potential to estimate exposure effects of interest in the presence of non‐linearity, confounding at individual and group levels, effect modification, classical measurement error in the exposure and non‐differential misclassification in the confounder.
Physical models, theory and fundamental improvement to self-acting spiral-grooved gas bearings and visco-seals

Abstract A model of a self-acting gas bearing and a visco-seal with congruent spiral grooves of different depths on both bearing surfaces is introduced. A new model general theory, consisting of the well-known Whipple—Pan—Vohr—Malanoski theory of conventional spiral-grooved gas bearings as a special case, is outlined. Problems of geometry parameter optimization with respect to the load capacity, the stiffness and the pressure above atmospheric pressure are then solved. It is proved that the optimum geometry is identical spiral grooves on both bearing surfaces. A model with this geometry was termed a binary model. It is shown that the power characteristics of a binary self-acting gas bearing and visco-seals are 60 per cent as effective as the best world-wide analogues of other types, while their viscous torque is lower by not less than 5 per cent.
Exact strong coupling results in N = 2 Sp(2 N ) superconformal gauge theory from localization

: We apply the localization technique to compute the free energy on four-sphere and the circular BPS Wilson loop in the four-dimensional N = ∈ superconformal Sp(2 N ) gauge theory containing vector multiplet coupled to four hypermultiplets in fundamental representation and one hypermultiplet in rank-2 antisymmetric representation. This theory is unique among similar N = ∈ superconformal models that are planar-equivalent to N = 4 SYM in that the corresponding localization matrix model has the interaction potential containing single-trace terms only. We exploit this property to show that, to any order in large N expansion and an arbitrary ’t Hooft coupling λ , the free energy and the Wilson loop satisfy Toda lattice equations. Solving these equations at strong coupling, we ﬁnd remarkably simple expressions for these observables which include all corrections in 1 /N and 1 / √ λ . We also compute the leading exponentially suppressed O ( e −√ λ ) corrections and consider a generalization to the case when the fundamental hypermultiplets have a non-zero mass. The string theory dual of this N = ∈ gauge theory should be a particular orientifold of AdS 5 × S 5 type IIB string and we discuss the string theory interpretation of the obtained strong-coupling results.
Latent Growth Curve Analyses of the Development of Height

The purpose of this article is to describe some applications of latent growth curve models within the context of structural equation modeling. Data from Trickett and Putnam (1993) on the physical height of adolescent girls are analyzed. Developmental differences in height are analyzed for a subsample of sexually abused girls (n = 77) and for a subsample of nonabused girls (n = 75), ranging in age from 6 to 18.5 years. Each girl was measured on 1 to 3 occasions. Thus, the techniques of "convergence" analysis are used. The integration of growth curve models and structural equation modeling allows for the estimation of curves spanning the entire range of ages, thus encompassing all participants. The data were analyzed by using raw data maximum-likelihood estimation with Mx computer software. Several hypothetical height growth functions were tested: no growth, linear growth, polynomial growth, and logistic growth. In addition, 2 estimations of optimal linear latent shape were computed, with and without a constraint of monotonically increasing loadings. The article presents power calculations for the ability of the different models to discern the growth of the abuse sample from the control sample.
A 20-year trend of prevalence and susceptibility to trimethoprim/sulfamethoxazole of Stenotrophomonas maltophilia in a single secondary care hospital in Korea

Stenotrophomonas maltophilia is a Gram-negative opportunistic pathogen that can cause serious infection. We aimed to analyze the prevalence and susceptibility rates to trimethoprim/sulfamethoxazole of S. maltophilia. We conducted a retrospective study of S. maltophilia isolates from a university hospital from 2001 to 2020. Clinical information, the numbers of isolates and susceptibility rates were analyzed by year. Susceptibility rates and changes in respiratory and non-respiratory samples were compared. 1805 S. maltophilia isolates were identified, of which 81.4% (1469/1805) were from respiratory samples. There was a male predominance and 52% of the isolates were from general wards. The average susceptibility rate was 87.7% and there was no significant annual trend (P = .519). The susceptibility rate was 88.7% in respiratory samples and 84.1% in non-respiratory samples (P = .018). Susceptibility analyses using clinical data over long periods can guide the choice of antimicrobials especially for pathogen whose treatment options are limited.
Small cell lung cancer transformation after EGFR-TKIs treatment in lung adenocarcinoma: A case report and literatures review

Rationale: Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are commonly used in the treatment of advanced non-small cell lung cancer. However, patients will inevitably develop resistance to EGFR-TKIs in the long-term treatment process. In this paper, we report a case of small cell lung cancer transformation after EGFR-TKIs treatment in lung adenocarcinoma. We summarize the characteristics of this case and the treatment after transformation, and emphasized the repeat biopsy and dynamic monitoring its genetic mutation was necessary. Patient concerns: A 75-years-old man with no smoking history was admitted to our hospital with repeated cough and expectoration for 1 month and chest enhancement computed tomography showed paracbronchial soft tissue mass in the lower lobe of the left lung, which was considered to be central lung cancer. Diagnoses: The first pathological analysis of lung biopsy confirmed left lung adenocarcinoma and clinical stage was T3N3M1 IVA. In June 2021, the second bronchoscopic biopsy was performed, and pathology showed small cell neuroendocrine carcinoma in the left lung. Interventions: Gefitinib was given to patients when the first next generation sequence test showed EGFR L858 mutation. When the second next generation sequence test revealed EGFR T790M mutation, the patient received with osimertinib. The patient got 2 cycles chemotherapy of etoposide plus netaplatin when diagnosed with small cell lung cancer. Outcomes: Progression-free survival was only 8 months after gefitinib treatment. Moreover, the patient was insensitive to Oxitinib, and the disease progressed after 2 months of treatment with Oxitinib. Finally, he died of severe infection and hepatic failure after a diagnosis of small cell lung cancer. Lessons: Our case highlights that if a patient has rapid disease progression, increase of serum neuron-specific enolase, and TP53 and Rb1 inactivation during EGFR-TKIs treatment, we should be alert to the pathological type transformation to small cell lung cancer.
Impact of anti‐SARS‐CoV‐2 monoclonal antibodies in the management of patients with lymphoma and COVID19: A retrospective study

COVID19 in patients affected by lymphoma represents an important challenge because of the higher mortality rate. Anti‐SARS‐CoV‐2 monoclonal antibodies (anti‐S MoAbs) appear promising in this setting. We report a monocentric retrospective study including 176 patients affected by lymphoma which developed SARS‐CoV‐2 infection since the start of COVID19 pandemic. Overall, mortality was 13.1%, with a decreasing trend between first waves to the last wave of pandemic (18.5% vs. 9.4%, p 0.076). Patients receiving anti‐S MoAbs (41.3%) showed inferior mortality rate (overall survival, OS 93.2% vs. 82.7%, p 0.025) with no serious toxicity, reduced documented pneumonia (26% vs. 33%, p 0.005), and reduced need of oxygen support (14.5% vs. 35.7%, p 0.003). Among patients who received 3 doses of vaccine, the employment of anti‐COVID MoAbs showed a trend of superior survival versus those who did not receive Anti‐S MoAbs (OS rates 97.3% vs. 84.2%, p 0.064). On multivariate analysis, active haematological disease (OS 72% (HR 2.49 CI 1.00–6.41), bendamustine exposure (OS 60% HR 4.2 CI 1.69–10.45) and at least one comorbidity (HR 6.53 CI 1.88–22.60) were independent prognostic factors for death. Our study confirms the adverse prognostic role of COVID‐19 in lymphoma patients in presence of active disease, comorbidities and previous exposure to bendamustine. In our experience, anti‐S MoAbs represented a therapeutic option in vaccinated patients.
A model for bursting X-ray sources - Time-dependent accretion by magnetic neutron stars and degenerate dwarfs

We consider spherically symmetric accretion flow onto a strongly magnetic compact star. We show that under certain conditions such flow is intermittent, and that the resultant time-dependent X-ray emission from the stellar surface is akin to that observed in the bursting X-ray sources. The stability properties of the magnetosphere of a compact star provide a natural gating mechanism that can produce burst rise times (approx.0.1--1 s) and durations (approx.1--100 s) which are much shorter than the time (approx.10--10/sup 5/ s) between bursts. A key feature of high-luminosity flows is the interaction of the burst radiation with the accreting matter, which determines the burst shape and the time between bursts.Four distinct types of burstlike flows are possible, depending on the luminosity and temperature of the burst radiation. In each type of flow the bursts are terminated by a different physical mechanism: compressional heating of matter at the magnetospheric boundary, Compton heating of matter at the boundary, Compton heating of matter far from the boundary, or radiation pressure. The possible burst luminosities produced by such flows range from 9 or approx. =10/sup 36/ erg s/sup -1/ for the low-luminosity flow up to 10/sup 38/-10/sup 39/ ergs s/sup -1/ for the high-luminosity flows.Flowsmore » of the type studied here may be able to account both for behavior like that of the rapid burster, MXB 1730--335, and like that of the high-luminosity, long-period bursters, such as 3U1820--30=NGC 6624 and MXB 1728--34. « less
CD4+ T-Cell Dysfunction in Severe COVID-19 Disease Is Tumor Necrosis Factor-α/Tumor Necrosis Factor Receptor 1–Dependent

Rationale Lymphopenia is common in severe coronavirus disease (COVID-19), yet the immune mechanisms are poorly understood. As inflammatory cytokines are increased in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we hypothesized a role in contributing to reduced T-cell numbers. Objectives We sought to characterize the functional SARS-CoV-2 T-cell responses in patients with severe versus recovered, mild COVID-19 to determine whether differences were detectable. Methods Using flow cytometry and single-cell RNA sequence analyses, we assessed SARS-CoV-2-specific responses in our cohort. Measurements and Main Results In 148 patients with severe COVID-19, we found lymphopenia was associated with worse survival. CD4+ lymphopenia predominated, with lower CD4+/CD8+ ratios in severe COVID-19 compared with patients with mild disease (P < 0.0001). In severe disease, immunodominant CD4+ T-cell responses to Spike-1 (S1) produced increased in vitro TNF-α (tumor necrosis factor-α) but demonstrated impaired S1-specific proliferation and increased susceptibility to activation-induced cell death after antigen exposure. CD4+TNF-α+ T-cell responses inversely correlated with absolute CD4+ counts from patients with severe COVID-19 (n = 76; R = −0.797; P < 0.0001). In vitro TNF-α blockade, including infliximab or anti-TNF receptor 1 antibodies, strikingly rescued S1-specific CD4+ T-cell proliferation and abrogated S1-specific activation-induced cell death in peripheral blood mononuclear cells from patients with severe COVID-19 (P < 0.001). Single-cell RNA sequencing demonstrated marked downregulation of type-1 cytokines and NFκB signaling in S1-stimulated CD4+ cells with infliximab treatment. We also evaluated BAL and lung explant CD4+ T cells recovered from patients with severe COVID-19 and observed that lung T cells produced higher TNF-α compared with peripheral blood mononuclear cells. Conclusions Together, our findings show CD4+ dysfunction in severe COVID-19 is TNF-α/TNF receptor 1–dependent through immune mechanisms that may contribute to lymphopenia. TNF-α blockade may be beneficial in severe COVID-19.
CTG-22-0171 1..9

METHODS: Thiswas a retrospective cohort studyofmedicallymanagedpatientswithCP.Weclassifiedpatientsbased on pancreatic duct obstruction from a stricture or stone using cross-sectional imaging (i.e., large vs small duct CP). We compared prevalence of diabetes and exocrine insufficiency (EPI) between subgroups at inclusion and investigated risk of new-onset diabetes, EPI, and all-causemortality over a follow-up period of 5 years. Changes in pancreaticmorphology were studied in patientswho underwent follow-up imaging.