Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of a Set of miRNAs in 26 Cases of Fatal Traumatic Brain Injuries

In forensic medicine, identifying novel biomarkers for use as diagnostic tools to ascertain causes of death is challenging because of sample degradation. To that aim, a cohort (n = 26) of fatal traumatic brain injuries (TBIs) were tested for three candidate miRNAs (namely, miR-124-3p, miR-138-5p, and miR144-3p). For each case, three FFPE specimens (coup area (CA), contrecoup area (CCA), and the corpus callosum (CC)) were investigated, whereas the FFPE brain tissues of 45 subjects (deceased due to acute cardiovascular events) were used as controls. Relative quantification via the ∆∆Ct method returned significantly higher expression levels of the three candidate miRNAs (p < 0.01) in the TBI cases. No difference was detected in the expression levels of any miRNA investigated in the study among the CA, CCA, and CC. Furthermore, the analyzed miRNAs were unrelated to the TBI samples’ post-mortem intervals (PMIs). On the contrary, has-miR-124-3p ahashsa-miR-144-3p were significantly correlated (p < 0.01) with the agonal time in TBI deaths. Since the RNA was highly degraded in autoptic FFPE tissues, it was impossible to analyze the mRNA targets of the miRNAs investigated in the present study, highlighting the necessity of standardizing pre-analytical processes even for autopsy tissues.
Cold tolerance of the invasive oak lace bug, Corythucha arcuata

The North American oak lace bug (OLB), Corythucha arcuata, is an invasive species in Europe and a serious threat to oak‐dominated forests. Survival at low temperatures is one major factor determining the spread of invasive insects. Thus, we studied key traits, that is, cold‐tolerance strategy, supercooling points (SCP) and chilling‐related mortality, of overwintering adults to assess their potential to withstand harsh winters. Samples for SCP measurements were collected once a month from November 2020 until March 2021 at three different locations in Hungary; specimens for chilling experiments were sampled in November 2020, January 2021 and March 2021. SCPs of overwintering adults ranged from −29.68 to −7.49 °C, with only moderate variation among months; C. arcuata is a freeze‐avoidant species. Mortality rates of adults exposed to two sub‐zero temperatures above the SCP (−3 and −5 °C) for 1, 2 and 3 weeks ranged between 0% and 69.1%, suggesting that OLB has a moderate risk to die from chilling injuries. Exposure time and sampling date affected mortality, with lowest survival rates after 3 weeks, collected in March 2021.
Do Public Works Programs Have Sustained Impacts?: A Review of Experimental Studies from LMICs

The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.
COMPARISON BETWEEN DELAYED PRIMARY CLOSURE AND IMMEDIATE PRIMARY CLOSURE OF ABDOMINAL INCISIONS IN PATIENTS WITH SEPTIC PERITONITIS.

Background: It is still a point of controversy if performing delayed primary closure (DPC) of abdominal incisions in cases of abdominal septic operations could be able to reduce incidence of surgical-site infection and its bad long term sequels in comparison with immediate primary closure (PC). The Aim: To compare between delayed primary closure and immediate primary closure of abdominal incisions, in patients with peritonitis that results from septic operations regarding superficial surgical site infection. Patients & Methods: we have carried out such study on 60 patients with septic peritonitis that were collected and operated surgically during 2 years in in Department of General Surgery, Zagazig University Hospital. We have divided our cases into 2 groups; Group (1): cases that are managed by immediate PC of the skin and subcutaneous tissue using polypropylene sutures and insertion of subcutaneous drain. Group (2): included cases that are managed by DPC of the skin and subcutaneous tissue, using polypropylene sutures and without insertion of drain. We have followed all patients for 2 weeks for; infection or dehiscence of the wound and for occurrence of burst abdomen, seroma or sub cutaneous collection. Results: we have detected that DPC is better than immediate PC as regard decreasing incidence of wound infection & dehiscence (p=0,009), less liability for occurrence of burst abdomen (p=0.042), sub cutaneous collection (p=0.003) and seroma (p<0.001). Conclusion: performing DPC will be better than immediate PC in management of patients with septic peritonitis.
Removal of Ranitidine Using Chlorella Sorokiniana MH923013

The frequent and widespread use of medicines and personal care products, particularly in the residential environment, tends to raise concerns about environmental and human health impacts. On the other hand, carbon dioxide accumulation in the atmosphere is a problem with numerous environmental consequences. Microalgae are being used to bioremediate toxins and capture CO2. The current study aimed to confirm the possibility of removing pharmaceutical contaminant (Ranitidine) at different concentrations by using the Chlorella Sorokiniana MH923013 microalgae strain during the growth time. As part of the experiment, carbon dioxide was added to the culture medium three times per week. Explanatory results revealed that gas doses directly affect microalgae growth and removal efficiency, as evidenced by faster and more productive cell adaptation compared to control cultures. The development profile of microalgae is significantly influenced by pure carbon dioxide bubbles. When compared to control flasks, carbon dioxide increased the specific growth rate and doubling time. During the 312 hours microalgae cultivation period, the Chlorella strain recorded the highest pollutant removal efficiency (58%), particularly at the pollutant concentration of 5 mg/l CO2.
Crossing Thresholds and Expanding Conceptual Spaces: Using Arts-Based Methods to Extend Teachers’ Perceptions of Literacy

The context for this paper is a teacher education program for adult literacy practitioners at Queen’s University Belfast in Northern Ireland.This paper describes and reflects on the use of arts-based approaches to enhance these practitioners’ conceptualizations of literacy, presenting their arts-based responses and their evaluations of the methods. The discussion raises questions about the inclusion of visual literacy in adult literacy teacher education programs.
MixTrain: Scalable Training of Formally Robust Neural Networks

Making neural networks robust against adversarial inputs has resulted in an arms race between new defenses and attacks. The most promising defenses, adversarially robust training and verifiably robust training, have limitations that restrict their practical applications. The adversarially robust training only makes the networks robust against a subclass of attackers and we reveal such weaknesses by developing a new attack based on interval gradients. By contrast, verifiably robust training provides protection against any L-p norm-bounded attacker but incurs orders of magnitude more computational and memory overhead than adversarially robust training. We propose two novel techniques, stochastic robust approximation and dynamic mixed training, to drastically improve the efficiency of verifiably robust training without sacrificing verified robustness. We leverage two critical insights: (1) instead of over the entire training set, sound over-approximations over randomly subsampled training data points are sufficient for efficiently guiding the robust training process; and (2) We observe that the test accuracy and verifiable robustness often conflict after certain training epochs. Therefore, we use a dynamic loss function to adaptively balance them for each epoch. We designed and implemented our techniques as part of MixTrain and evaluated it on six networks trained on three popular datasets including MNIST, CIFAR, and ImageNet-200. Our evaluations show that MixTrain can achieve up to $95.2\%$ verified robust accuracy against $L_\infty$ norm-bounded attackers while taking $15$ and $3$ times less training time than state-of-the-art verifiably robust training and adversarially robust training schemes, respectively. Furthermore, MixTrain easily scales to larger networks like the one trained on ImageNet-200, significantly outperforming the existing verifiably robust training methods.
Fullerene photoemission time delay explores molecular cavity in attoseconds

valence emis-sions that produce series of minima whose energy separation depends on the molecular size. Weshow that the quantum phase associated with these minima exhibits rapid variations due to electroncorrelations, causing rich structures in the photoemission time delay. These ﬁndings provide a wayto utilize temporal information to access the fullerene cavity size, that is making the time to “see”the space, and can be generalized to photoemissions from clusters and nanostructures.
ROLE OF ORGANIZATIONAL CREATIVITY BETWEEN ARTIFICIAL INTELLIGENCE CAPABILITY AND ORGANIZATIONAL PERFORMANCE

This study examines the role of organizational creativity between artificial intelligence capability and organizational performance due to challenges in the area of localization, transparency and data security in the Nigerian banking sector which require maximum attention. It explicates how banking organizations leverage on artificial intelligence capability and deploy artificial intelligence resources in identified areas of business needs in order to achieve performance gains. Using a survey design and a convenience sampling method, 300 questionnaires were distributed among 12 banking organizations and 231 questionnaires were retrieved. Data were analyzed using percentages and the hypotheses were tested using regression analysis. Our findings revealed a strong relationship between artificial intelligence capability and organizational performance. Also, when the mediating variable was simultaneously entered with the independent variable as a predictor of organizational performance, it made the response variable stronger. We concluded that creative deployment of artificial intelligence resources in identified areas of needs in the banking sector will lead to better performance gains. Hence, we recommend that Nigerian banking organizations should deploy artificial intelligence capability creatively in order to enhance organizational performance. Since organizational creativity mediates the relationship between artificial intelligence capability and organizational performance, it implies that by being constructive and innovative in the manner by which managers carry out organizational activities and deploy artificial intelligence capability, organizations stand to achieve better performance gains.
Physiochemical Study of Yoghurt-like Product from Breadfruit, Coconut and Soybean Extracts Stored at Different Temperature

Yoghurt-like products has been produced from a blend of soybean, coconut and breadfruit extract in the ratio B20:C20:S60, B20:C30:S50, B30:C20:S50 and B30:C30:S40 using Lactobacillus acidophilus on the substrates. Two sets of yoghurt-like products from these composites blend was produced and stored at refrigeration (5oC) and then at ambient temperature (29±2oC) for 4 weeks and 5 days, respectively. They were examined for changes in physicochemical properties against commercial (100% cow milk) dairy yoghurt as control. The changes in total solids (mg/L) reveals the following ranges for B20:C20:S60 (6.14 -14.00), B20:C30:S50 (4.10-13.10), B30:C20:S50 (4.02-12.04), B30:C30:S40 (3.20-12.42) and control (8.01- 20.00) and B20:C20:S60 (4.22-14.00), B20:C30:S50 (3.20-13.10), B30:C20:S50 (2.80-12.04), B30:C30:S40 (3.10-12.42) and control (8.10-20.00) for refrigeration and ambient temperature, respectively. The changes in pH ranges are as follows for B20:C20:S60 (3.80-5.40), B20:C30:S50 (3.60-5.00), B30:C20:S50 (3.60-5.00), B30:C30:S40 (3.20-4.80) and control (2.80-4.60) and B20:C20:S60 (3.90-5.60), B20:C30:S50 (3.60-5.20), B30:C20:S50 (3.40-5.00), B30:C30:S40 (3.40-4.80) and control (2.78-4.80) for refrigeration and ambient temperature, respectively. The titratable acidity (g/L) reveals the following ranges for B20:C20:S60 (0.42-1.20), B20:C30:S50 (0.32-1.00), B30:C20:S50 (0.34- 0.80), B30:C30:S40 (0.30-0.9) and control (0.50-1.40), and B20:C20:S60 (0.40-1.20), B20:C30:S50 (0.32-1.00), B30:C20:S50 (0.32-0.80), B30:C30:S40 (0.30-0.70) and control (0.52- 1.80) for refrigeration and ambient temperature, respectively. The viscosity (Ns/m2) ranges are as follows for B20:C20:S60 (300-500), B20:C30:S50 (355-470), B30:C20:S50 (350-480), B30:C30:S40 (340-475) and control (400-600), and B20:C20:S60 (340-500), B20:C30:S50 (330-470), B30:C20:S50 (315-480), B30:C30:S40 (300-480) and control (430-600) for refrigeration and ambient temperature, respectively. The non-dairy yoghurt produced showed characteristics as per with the dairy yoghurt, as they exhibited almost same pattern of changes during the storage period.
Shifting the Forensic Anthropological Paradigm to Incorporate the Transgender and Gender Diverse Community

Forensic anthropology and, more broadly, the forensic sciences have only recently begun to acknowledge the importance of lived gender identity in the resolution of forensic cases, the epidemic of anti-transgender violence, and the need to seek practical solutions. The current literature suggests that forensic anthropologists are becoming aware of these issues and are working toward efforts to improve identification of transgender and gender diverse (TGD) persons. The scope of the problem, however, is not limited to methodology and instead can be traced to systemic anti-trans stigma ingrained within our cultural institutions. As such, we call on forensic anthropologists to counteract cisgenderism and transphobia and promote gender equity and inclusion in their practice. In this paper, we identify three areas in which forensic anthropologists may be positioned to intervene on cisgenderist practices and systems: in casework, research, and education. This paper aims to provide strategies for forensic anthropologists to improve resolution of TGD cases, produce more nuanced, gender-informed research, and promote gender equity and inclusion in the field.
Sufficient conditions for periodicity of 
 meromorphic function and its shift operator sharing one or more sets with finite weight

Let f and g be two non-constant meromorphic functions defined in the open complex plane C. If for some a ∈ C ∪ {∞}, f − a and g − a have the same set of zeros with the same multiplicities, we say that f and g share the value a CM (counting multiplicities), and if we do not consider the multiplicities then f and g are said to share the value a IM (ignoring multiplicities). We have used the standard notations from Nevalinna’s theory of value distribution of meromorphic functions as in [6]. We recall that T (r, f) denotes the Nevanlinna characteristic function of the non-constant meromorphic function and N(r, a; f) (N(r, a; f)) denotes the counting function (reduced counting function) of a-points of meromorphic function f . A meromorphic function a is said to be a small function of f provided that T (r, a) = S(r, f), that is T (r, a) = o(T (r, f)) as r −→ ∞, outside of a possible exceptional set of finite linear measure. Let S(f) be the set of all small functions of f(z). For a set S ⊂ S(f), we define the following:
A preliminary evaluation of phenotypic traits of tepary bean (Phaseolus acutifolius A. Gray)

(SRL) and shoot dry weight (SDW), respectively. A highly significant ( p < 0.01) positive association was observed between the shoot fresh weight and the SDW suggesting that there was a strong linear relationship between the two parameters. Similarly, at least 68.0 % of the changes in root dry weight were attributed to the changes in the SRL. Conclusion: These results suggested that the observed phenotypic variability in this germplasm which could be exploited for the enhancement of tepary bean. Contribution: There will be merit in validating these results on a field basis together with grain yield evaluation and genotyping over multiple locations and seasons to determine elite germplasm for production and utilisation by growers.
Silent owl flight: The effect of the leading edge comb

The feathers of owls possess three adaptations that are held responsible for their quiet flight. These are a comb-like structure at the leading edge of the wing, fringes at the trailing edge, and a soft and porous upper surface of the wing. To investigate the effect of the first adaptation, the leading edge comb, on the aerodynamic performance and the noise generation during gliding flight, wind tunnel measurements were performed on prepared wings of a Barn owl (Tyto alba) with and without the comb. In agreement with existing studies it was found that the leading edge comb causes a small increase in lift. Additionally, at high angles of attack the results from the acoustic measurements indicate that the presence of the comb leads to a reduction in gliding flight noise. Although this reduction is relatively small, it further helps the owl to approach its prey during the final stages of the landing phase.
Hydrogenation reactions in interstellar CO ice analogues A combined experimental/theoretical approach

Context. Hydrogenation reactions of CO in inter- and circumstellar ices are regarded as an important starting point in the formation of more complex species. Previous laboratory measurements by two groups of the hydrogenation of CO ices provided controversial results about the formation rate of methanol. Aims. Our aim is to resolve this controversy by an independent investigation of the reaction scheme for a range of H-atom fluxes and different ice temperatures and thicknesses. To fully understand the laboratory data, the results are interpreted theoretically by means of continuous-time, random-walk Monte Carlo simulations. Methods. Reaction rates are determined by using a state-of-the-art ultra high vacuum experimental setup to bombard an interstellar CO ice analog with H atoms at room temperature. The reaction of CO + Hi nto H 2CO and subsequently CH3OH is monitored by a Fourier transform infrared spectrometer in a reflection absorption mode. In addition, after each completed measurement, a temperature programmed desorption experiment is performed to identify the produced species according to their mass spectra and to determine their abundance. Different H-atom fluxes, morphologies, and ice thicknesses are tested. The experimental results are interpreted using Monte Carlo simulations. This technique takes into account the layered structure of CO ice. Results. The formation of both formaldehyde and methanol via CO hydrogenation is confirmed at low temperature (T = 12−20 K). We confirm that the discrepancy between the two Japanese studies is caused mainly by a difference in the applied hydrogen atom flux, as proposed by Hidaka and coworkers. The production rate of formaldehyde is found to decrease and the penetration column to increase with temperature. Temperature-dependent reaction barriers and diffusion rates are inferred using a Monte Carlo physical chemical model. The model is extended to interstellar conditions to compare with observational H2CO/CH3OH data.
A weight-relaxed model averaging approach for high-dimensional generalized linear models

Model averaging has long been proposed as a powerful alternative to model selection in regression analysis. However, how well it performs in high-dimensional regression is still poorly understood. Recently, Ando and Li [ J. Amer. Statist. Assoc. 109 (2014) 254–265] introduced a new method of model averaging that allows the number of predictors to increase as the sample size increases. One notable feature of Ando and Li’s method is the relaxation on the total model weights so that weak signals can be efﬁciently combined from high-dimensional linear models. It is natural to ask if Ando and Li’s method and results can be extended to nonlinear models. Because all candidate models should be treated as working models, the existence of a theoretical target of the quasi maximum likelihood estimator under model misspeciﬁcation needs to be established ﬁrst. In this paper, we consider generalized linear models as our candidate models. We establish a general result to show the existence of pseudo-true regression parameters under model misspeciﬁcation. We derive proper conditions for the leave-one-out cross-validation weight selection to achieve asymptotic optimality. Technically, the pseudo true target parameters between working models are not linearly linked. To overcome the encountered difﬁculties, we employ a novel strategy of decomposing and bounding the bias and variance terms in our proof. We conduct simulations to illustrate the merits of our model averaging procedure over several existing methods, including the lasso and group lasso methods, the Akaike and Bayesian information criterion model-averaging methods and some other state-of-the-art regularization methods.
Magnetic hardening and antiferromagnetic/ferromagnetic phase coexistence in Mn1−xFexRu2Sn Heusler solid solutions

Magnetic hardening and antiferromagnetic/ferromagnetic phase coexistence in Mn 1−x Fe x Ru 2 Sn Heusler solid solutions Jason E. Douglas, 1, 2, a) Juan C. Castillo, 3 Peter Adler, 4 Emily E. Levin, 1, 2 Stephan Kr¨amer, 1 Katharine L. Page, 5 Claudia Felser, 4 Tresa M. Pollock, 1, 2 and Ram Seshadri 1, 2, 6 Materials Department, University of California, Santa Barbara, California 93106 USA Materials Research Laboratory, University of California, Santa Barbara, California 93106 USA Department of Electrical and Computer Engineering, University of California, Santa Barbara, California 93106 USA Max Planck Institute for Chemical Physics of Solids, D-01187 Dresden Germany Chemical and Engineering Materials Division, Spallation Neutron Source, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831 USA Department of Chemistry and Biochemistry, University of California, Santa Barbara, California 93106 USA (Dated: 15 June 2016) We investigate the average structure, local structure, and magnetic behavior of Heusler alloys of the composition Mn 1−x Fe x Ru 2 Sn, between antiferromagnetic (AFM) MnRu 2 Sn and ferromagnetic (FM) FeRu 2 Sn (often written Ru 2 MnSn and Ru 2 FeSn). Using a combination of neutron total scattering, electron microscopy, and M¨ossbauer spectroscopy, we conclude that this is a true solid solution, with Fe substituting for Mn on the Heusler lattice, with little or no antisite disorder. Despite the lack of chemical phase separation, magnetic phase separation is present in compositions near x = 0.50, where the coexistence of AFM and FM domains is confirmed by 15 K neutron diffraction. At these intermediate compositions a large increase in magnetic coercivity is observed, in excess of 1 kOe, attributed to local exchange interactions. a) Electronic mail: jedouglas@mrl.ucsb. edu