Miracle-dz/UniFAR-FTUs huggingface dataset:
AUS-TBI: The Australian Health Informatics Approach to Predict Outcomes and Monitor Intervention Efficacy after Moderate-to-Severe Traumatic Brain Injury

Predicting and optimizing outcomes after traumatic brain injury (TBI) remains a major challenge because of the breadth of injury characteristics and complexity of brain responses. AUS-TBI is a new Australian Government–funded initiative that aims to improve personalized care and treatment for children and adults who have sustained a TBI. The AUS-TBI team aims to address a number of key knowledge gaps, by designing an approach to bring together data describing psychosocial modulators, social determinants, clinical parameters, imaging data, biomarker profiles, and rehabilitation outcomes in order to assess the influence that they have on long-term outcome. Data management systems will be designed to track a broad range of suitable potential indicators and outcomes, which will be organized to facilitate secure data collection, linkage, storage, curation, management, and analysis. It is believed that these objectives are achievable because of our consortium of highly committed national and international leaders, expert committees, and partner organizations in TBI and health informatics. It is anticipated that the resulting large-scale data resource will facilitate personalization, prediction, and improvement of outcomes post-TBI.
Single-Nucleotide Polymorphism on Spermatogenesis Associated 16 Gene-Coding Region Affecting Bovine Leukemia Virus Proviral Load

Bovine leukemia virus (BLV) is an etiological agent of malignant lymphoma in cattle and is endemic in many cattle-breeding countries. Thus, the development of cattle genetically resistant to BLV is desirable. The purpose of this study was to identify novel single-nucleotide polymorphisms (SNPs) related to resistance to BLV. A total of 146 DNA samples from cattle with high BLV proviral loads (PVLs) and 142 samples from cattle with low PVLs were used for a genome-wide association study (GWAS). For the verification of the GWAS results, an additional 1342 and 456 DNA samples from BLV-infected Japanese Black and Holstein cattle, respectively, were used for an SNP genotyping PCR to compare the genotypes for the identified SNPs and PVLs. An SNP located on the spermatogenesis associated 16 (SPATA16)-coding region on bovine chromosome 1 was found to exceed the moderate threshold (p < 1.0 × 10−5) in the Additive and Dominant models of the GWAS. The SNP genotyping PCR revealed that the median values of the PVL were 1278 copies/50 ng of genomic DNA for the major homozygous, 843 for the heterozygous, and 621 for the minor homozygous genotypes in the Japanese Black cattle (p < 0.0001). A similar tendency was also observed in the Holstein cattle. We found that cattle with the minor allele for this SNP showed 20–25% lower PVLs. Although the mechanisms through which this SNP impacts the PVL remain unknown, we found a novel SNP related to BLV resistance located on the SPATA16 gene-coding region on bovine chromosome 1.
Robust feedback-linearisation control of a boost converter feeding a grid-tied inverter for PV applications

In this study, the feedback-linearisation (FBL) technique is employed to design a dc-dc boost voltage regulator feeding a grid-tied inverter for photovoltaic (PV) systems. The key feature of the proposed approach is that only a voltage control loop is used to generate the driving signal for the converter and no current control loop is required. Thereby, unlike the cascaded structure, the bandwidth of the voltage control loop can be specified only by the switching frequency as there is no need for an intermediate inner-loop. The major concern of this control scheme is its limited ability to eliminate completely the steady-state error under model uncertainty and unknown disturbance such as the PV current, which is considered as an unmatched disturbance. For this purpose, the unknown perturbation is estimated by a disturbance observer and compensated in the control law to drive the steady-state error to zero. With a fast disturbance estimation, the composite controller is able to retain the nominal transient performance specified with the FBL. The effectiveness of the proposed approach was verified by both simulation and experimental results, and a remarkable agreement was obtained while exhibiting excellent performances.
CHIP can remodel mature AhR complexes and mediate ubiquitination of both the AhR and the hsp90 in vitro . *

The regulation of the aryl hydrocarbon receptor (AhR) protein levels has been an area of keen interest, given its important role in mediating the cellular adaptation and toxic response to several environmental pollutants. The carboxyl terminus of hsc70- interacting protein (CHIP) ubiquitin ligase was previously associated with the regulation of the aryl hydrocarbon receptor, although the mechanisms were not directly demonstrated. In this study we established that CHIP could associate with the AhR at cellular levels of these two proteins, suggesting a potential role for CHIP in the regulation of the AhR complex. The analysis of sucrose gradient fractionated in vitro translated AhR complexes revealed that CHIP can mediate hsp90 ubiquitination, while cooperating with unidentified factors to promote the ubiquitination of mature unliganded AhR complexes. In addition, the immunophilin-like protein XAP2 was able to partially protect the AhR from CHIP mediated ubiquitination in vitro . This protection required the direct interaction of the XAP2 with the AhR complex. Surprisingly, CHIP silencing in Hepa- 1c1c7 cells by siRNA methods did not reveal the function of CHIP in the AhR complex, as it did not affect well characterized activities of the AhR nor affected its steady-state protein levels. However, the presence of potential compensatory mechanisms may beconfounding this particular observation. Our results suggests a model where the E3 ubiquitin ligase CHIP cooperates with other ubiquitination factors to remodel native AhR-hsp90 complexes and that co-chaperones such as the XAP2 may affect the ability of CHIP to arget AhR complexes for ubiquitination. by Protein was detected by autoradiography using and were treated with vehicle control (DMSO) or treated with 500 pM TCDD for 4 h. The no-treatment control did not receive DMSO or TCDD treatment. Total mRNA was extracted and cDNA was synthesized. Specific mRNA levels were assessed using real time quantitative PCR. All experiments were performed in triplicates and the error bars indicate the standard deviation. These results are representative of 3 independent experiments.
Marijuana use subtypes in a community sample of young adult females

Objective— This study sought to empirically derive marijuana user subtypes based on DSM abuse and dependence criteria and examine demographic and substance abuse distinctions of derived classes. Method— A community sample of 308 female marijuana users between the ages of 18-24 were recruited in the Southern New England region. Latent class analysis was used to derive subgroups based on DSM criteria. The use and demographic characteristics of classes were further analyzed using ANOVA and chi-square tests. Results— Based on fit criteria, a three class solution was selected. Class I (37%), an “unaffected/ mild” group was characterized by very low endorsement rates of abuse and dependence criteria. This class was also found to have significantly lower rates of other substance use problems. Class II (41.6%) “moderate problem users” showed moderate endorsement rates of abuse and dependence criteria. Class III (21.4%) - “severe problem users” showed the greatest levels of abuse and dependence with 90% meeting DSM criteria for abuse and 100% meeting diagnostic criteria for marijuana dependence. Class III also showed the greatest levels of other substance use problems. Conclusion— Three distinct marijuana abuse and dependence subtypes were derived using LCA. Findings may have implications for the development of more targeted treatment and prevention interventions for young women struggling with varying degrees of marijuana abuse and dependence.
WT1 maintains adrenal-gonadal-primordium (AGP) identity and marks a novel population of AGP-like progenitors within the adult adrenal gland

SUMMARY Adrenals and gonads share a common primordium (AGP), but the molecular events driving differentiation are poorly understood. Here we demonstrate that the Wilms’ tumor suppressor WT1 is a key factor defining AGP identity by inhibiting the steroidogenic differentiation process. Indeed, ectopic expression of WT1 precludes differentiation into adreno-cortical steroidogenic cells by locking them into a progenitor state. ChIP experiments identify Tcf21 and Gli1 as direct targets of WT1. Moreover, cell lineage tracing analyses identify a long-living progenitor population within the adrenal gland, characterized by the expression of WT1, GATA4, GLI1 and TCF21 that can generate steroidogenic cells in vivo . Strikingly, gonadectomy dramatically activates these WT1 + cells and leads to their differentiation into gonadal steroidogenic tissue. Thus our data describes a previously unknown mechanism of response to organ loss by recreating hormone-producing cells at a heterotopic site.
FLASH-FLOOD MODELLING WITH ARTIFICIAL NEURAL NETWORKS USING RADAR RAINFALL ESTIMATES

Abstract The use of artificial neural networks (ANNs) in modelling the hydrological processes has become a common approach in the last two decades, among side the traditional methods. In regard to the rainfall-runoff modelling, in both traditional and ANN models the use of ground rainfall measurements is prevalent, which can be challenging in areas with low rain gauging station density, especially in catchments where strong focused rainfall can generate flash-floods. The weather radar technology can prove to be a solution for such areas by providing rain estimates with good time and space resolution. This paper presents a comparison between different ANN setups using as input both ground and radar observations for modelling the rainfall-runoff process for Bahluet catchment, with focus on a flash-flood observed in the catchment.
Multi-Requirement Enforcement of Non-Functional Properties on MPSoCs Using Enforcement FSMs - A Case Study

Embedded system applications usually have to meet real-time, energy or safety requirements on programs typically concurrently executed on a given MPSoC target platform. Enforcing such properties, e.g., by adapting the number of processors allocated to a program or by scaling the voltage/frequency mode of involved processors, is a difficult problem to solve, especially with a typically large varying environmental input (workload) per execution. In a previous work [4], we formalized the related enforcement problem using (a) finite state machines to model enforcement strategies, (b) discrete-time Markov chains to model the uncertain environment determining the system’s workload, and (c) the system response that defines the feedback for the reactive enforcer. In this paper, we apply that approach to specify and verify multi-requirement enforcement strategies and assess a case study for enforcing two independent requirements at the same time, i.e., latency and energy consumption. We evaluate and compare different enforcement strategies using probabilistic verification for the use case of an object detection application.
The Past, Present and Future of Indexing on Persistent Memory

Persistent memory (PM) based indexing techniques have been proposed to build fast yet persistent indexes that sit on the memory bus. Over the past decade, numerous techniques have been proposed with various assumptions and different properties (e.g., some of them were proposed before real PM became available), making it hard for researchers and practitioners to gain a comprehensive understanding of the area. In this tutorial, we give a comprehensive overview of PM indexing techniques, covering both range and hash indexes. We contrast the designs proposed before and after real PM became available, summarize the common and useful design techniques, and discuss potential future challenges and opportunities in this area.
CAS IMPLEMENTATION OF RECURSIVE STRUCTURE IN A SPANNING TREE

Abstract. Experimentation using computer plays an impor-tant part in education and research in graph theory. The pur-pose of this paper is to develop the CAS techniques for thehands-on approach in graph theory speciﬁcally on the topicof constructing the spanning tree. This paper discusses theadvantages of CAS as the software system for doing graph the-ory and introduces the software solutions integrating multime-dia user interface developed by the author, which extend thefunctionality of the existing CAS-based graph theory softwarepackage. 1. IntroductionSince Cayley [1] proved that the number of spanning tree of nvertices T n is n n−2 , there have been several alternative derivationsof the formula. As is often the case, the counting algorithm of thespanning tree for a given number of vertices turns out to be a con-structive algorithm for generating the spanning tree. This paper ex-amines the various counting algorithms which are conducive to theimplementation of the recursive structure in a spanning tree. Forthe purpose, the critical part of the programming code and the rele-vant technology involving Mathematica [11], the standard ComputerAlgebra System (CAS), examples are presented in this paper.
On a Problem about the Connectivity of the Enhanced Proper Power Graph of a Finite Group

Let G be a group with identity element e . The proper power graph and proper enhanced power graph of G , denoted by Γ ∗ P ( G ) and Γ ∗ EP ( G ), respectively. Also, the prime graph of G , denoted by Γ GK ( G ). In [1], the authors asked which groups do have the property that Γ ∗ P ( G ) is connected? In this paper, we show that if Γ GK ( G ) is disconnected, then Γ ∗ P ( G ) and Γ ∗ EP ( G ) are disconnected. Moreover, we prove that if G is a nilpotent group which is not a p -group, then Γ ∗ EP ( G ) is a connected graph.
Phase variation of Opa proteins of Neisseria meningitidis and the effects of bacterial transformation Brief

Opa proteins are major proteins involved in meningococcal colonization of the nasopharynx and immune interactions. Opa proteins undergo phase variation (PV) due to the presence of the 5 ′ -CTCTT-3 ′ coding repeat (CR) sequence. The dynamics of PV of meningococcal Opa proteins is unknown. Opa PV, including the effect of transformation on PV, was assessed using a panel of Opa-deficient strains of Neisseria meningitidis . Analysis of Opa expression from UK disease-causing isolates was undertaken. Different opa genes demonstrated variable rates of PV, between 6.4 ×10 – 4 and 6.9 ×10 – 3 per cell per generation. opa genes with a longer CR tract had a higher rate of PV ( r 2 =0.77, p =0.1212). Bacterial transformation resulted in a 180-fold increase in PV rate. The majority of opa genes in UK disease isolates (315/463, 68.0%) were in the ‘ on ’ phase, suggesting the importance of Opa proteins during invasive disease. These data provide valuable information for the first time regarding meningococcal Opa PV. The presence of Opa PV in meningococcal populations and high expression of Opa among invasive strains likely indicates the importance of this protein in bacterial colonization in the human nasopharynx. These findings have potential implications for development of vaccines derived from meningococcal outer membranes.
The Effect of Affective Domain-Based Teaching on Theoretical and Practical Outcomes of Learning the Basics of Electricity at Vocational High Schools in North Sulawesi, Indonesia

: This research aims to determine the differences in the (1) theoretical, and (2) practical students’ learning outcomes basics of electricity, as well as (3) to examine both results simultaneously. The experimental methods used to teach students were affective domain-based and conventional teaching which involved 36 and 37 participants, respectively, amounting to a total of 73. Moreover, data were analyzed using statistical multivariate analysis of variance (Manova). The results found there were differences in (1) theoretical and (2) practical learning outcomes, as well as (3) both results simultaneously for students who taught using those two methods. domain)
Production of Inflammatory Cytokines Dendritic Cells and Directly Augments Expressed on CD40 Ligand-Activated Signaling Lymphocytic Activation Molecule Is

Dendritic cells (DC) comprise a key part of the innate immune system that, upon activation, profoundly inﬂuences the nature of the adaptive T cell response. In this study, we present evidence that signaling lymphocytic activation molecule (SLAM), a molecule ﬁrst identiﬁed in activated T and B cells, is strongly up-regulated in DC activated through CD40, as well as in response to inﬂammatory stimuli, including polyinosinic polycytidylic acid and LPS. mRNA encoding both membrane-bound and soluble secreted isoforms of SLAM was detected in CD40 ligand-activated DC, comprising two of the four known SLAM isoforms. Expression of membrane-bound SLAM protein peaked at 12 h poststimulation with CD40 ligand, gradually returning to baseline levels after 6 days. SLAM up-regulation appears to be a direct result of the induction of DC maturation, as inﬂammatory cytokines released during this process do not affect SLAM expression. Functionally, engagement of SLAM enhances DC production of IL-12 and IL-8, while having no effect on production of IL-10. Because SLAM is involved in the activation of T cells, the expression of SLAM on DC may provide a bidirectional signaling mechanism in which interacting DC and T cells are simultaneously and synergistically activated to mount proinﬂammatory Th1 responses. The Journal of Immunology, 2001, 167: 3174–3181.
Interactions of epitopic variants of epidermal growth factor receptor with therapeutic anti- EGFR antibodies

Epidermal growth factor receptor (EGFR) plays important roles in cancerous transformation of epithelial cells in many solid cancers. Due to the pivotal role of EGFR in cellular proliferation and metastasis, it is a promising molecular target for the treatment of various cancers. One of the major treatment approaches uses anti-EGFR monoclonal antibodies (mAbs) targeted to the extracellular domain of the receptor to competitively block the binding of its ligands. Cetuximab, necitumumab, nimotuzumab, and panitumumab are such approved mAbs which are commercially available and used to treat multiple types of cancers. The response rates to these expensive therapeutics in various cancers range from nearly 9% to 91%. Hence, the objective of this study was to indentify whether any of the missense single nucleotide polymorphisms (SNPs) in the EGFR gene impart any structural and functional impact on the receptor’s interaction with these antibodies. We used X-ray crystallographic structures (from Protein Data Bank) of the Fab fragments of these therapeutic antibodies in complex with EGFR to analyze the effects of the missense mutations on the antigen-antibody interactions. We also assessed the potential association of the destabilizing variants with pathogenicity and disease susceptibility. EGFR H433Q (rs1171743336), S464T (rs746763556), S492G (rs1057519760) and S492R (rs1057519860) variants appear to weaken interactions between EGFR and cetuximab, which is the most widely used anti-EGFR therapeutic antibody. Other epitopic variants do not appear to affect interactions between EGFR and relevant mAbs (necitumumab, nimotuzumab, and panitumumab). Prior to treatment of the EGFR mediated conditions with cetuximab, screening of variants that destabilize antibody-EGFR interaction may be considered as a companion diagnostic test for avoiding unresponsiveness and improving therapeutic outcomes. Dhaka Univ. J. Biol. Sci. 30(3 CSI): 393-403, 2022 (June)
Lottery Tickets with Nonzero Biases

The strong lottery ticket hypothesis holds the promise that pruning randomly initialized deep neural networks could offer a computationally efﬁcient alternative to deep learning with stochastic gradient descent. Common parameter initialization schemes and existence proofs, however, are focused on networks with zero biases, thus foregoing the potential universal approximation property of pruning. To ﬁll this gap, we extend multiple initialization schemes and existence proofs to nonzero biases, including explicit ’looks-linear’ approaches for ReLU activation functions. These do not only enable truly orthogonal parameter initialization but also reduce potential pruning errors. In experiments on standard benchmark data, we further highlight the practical beneﬁts of nonzero bias initialization schemes, and present theoretically inspired extensions for state-of-the-art strong lottery ticket pruning.
Gain Enhancement of Octagon Microstrip Yagi Antenna Utilizing 1-D Photonic Crystal ( PCs ) Cover

A high gain Octagon Microstrip Yagi Antenna (OMYA) for Worldwide Interoperability for Microwave Access (WiMAX) application at unlicensed frequency of 5.8 GHz is presented in this paper. The proposed antenna was simulated and optimized using full-wave EM simulator. The simulated results show that the gain of the proposed antenna at frequency of 5.8 GHz is 13.45 dB with S11 of -32.57 dB. Hence, an extra gain of about 5.47 dB can be obtained through this design. Keywords—high gain, microstrip Yagi antenna, superstrate layer, ISM Band Frequency
Primary Decomposition with Differential Operators

We introduce differential primary decompositions for ideals in a commutative ring. Ideal membership is characterized by differential conditions. The minimal number of conditions needed is the arithmetic multiplicity. Minimal differential primary decompositions are unique up to change of bases. Our results generalize the construction of Noetherian operators for primary ideals in the analytic theory of Ehrenpreis–Palamodov, and they offer a concise method for representing affine schemes. The case of modules is also addressed. We implemented an algorithm in Macaulay2 that computes the minimal decomposition for an ideal in a polynomial ring.
Shell selection in the estuarine hermit crab Cliballari,IS longitarsus

In the laboratory, under choice situation, C. longitarsus preferred shells with greater shell width and shell weight. The correlation coefficient values calcu lated between the crab and shell parameters in the laboratory sample showed that this hermit crab selects a shell of suitable dimension for its occupation. In the multiple regression equations calculated with carapace length against the three shell variables aperture width, shell width and Shell weight which are deemed to be important for hermit crabs, the regression coefficient of the variables varied much. The unsealed first principal component explained 84·9% of the total variability of the shell parameters and scaled first principal component explained 95·8 % of shell parameters. The scaled first principal component was found to be a reliable esti mator of shell size and the hermit crab, if given a choice, selected a shell of suitable dimension which fits its body quite closely.