Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Selective Sum-Product Networks

We consider the selectivity constraint on the structure of sum-product networks (SPNs), which allows each sum node to have at most one child with non-zero output for each possible input. This allows us to find globally optimal maximum likelihood parameters in closed form. Although being a constrained class of SPNs, these models still strictly generalize classical graphical models such as Bayesian networks. Closed form parameter estimation opens the door for structure learning using a principled scoring function, trading off training likelihood and model complexity. In experiments we show that these models are easy to learn and compete well with state of the art.
Genome-Wide Expression Analysis of Soybean MADS Genes Showing Potential Function in the Seed Development

The MADS family is an ancient and best-studied transcription factor and plays fundamental roles in almost every developmental process in plants. In the plant evolutionary history, the whole genome duplication (WGD) events are important not only to the plant species evolution, but to expansion of members of the gene families. Soybean as a model legume crop has experience three rounds of WGD events. Members of some MIKCC subfamilies, such as SOC, AGL6, SQUA, SVP, AGL17 and DEF/GLO, were expanded after soybean three rounds of WGD events. And some MIKCC subfamilies, MIKC* and type I MADS families had experienced faster birth-and-death evolution and their traces before the Glycine WGD event were not found. Transposed duplication played important roles in tandem arrangements among the members of different subfamilies. According to the expression profiles of type I and MIKC paralog pair genes, the fates of MIKC paralog gene pairs were subfunctionalization, and the fates of type I MADS paralog gene pairs were nonfunctionalization. 137 out of 163 MADS genes were close to 186 loci within 2 Mb genomic regions associated with seed-relative QTLs, among which 115 genes expressed during the seed development. Although MIKCC genes kept the important and conserved functions of the flower development, most MIKCC genes showed potentially essential roles in the seed development as well as the type I MADS.
On the Design of Smart Parking Networks in the Smart Cities: An Optimal Sensor Placement Model

Smart parking is a typical IoT application that can benefit from advances in sensor, actuator and RFID technologies to provide many services to its users and parking owners of a smart city. This paper considers a smart parking infrastructure where sensors are laid down on the parking spots to detect car presence and RFID readers are embedded into parking gates to identify cars and help in the billing of the smart parking. Both types of devices are endowed with wired and wireless communication capabilities for reporting to a gateway where the situation recognition is performed. The sensor devices are tasked to play one of the three roles: (1) slave sensor nodes located on the parking spot to detect car presence/absence; (2) master nodes located at one of the edges of a parking lot to detect presence and collect the sensor readings from the slave nodes; and (3) repeater sensor nodes, also called “anchor” nodes, located strategically at specific locations in the parking lot to increase the coverage and connectivity of the wireless sensor network. While slave and master nodes are placed based on geographic constraints, the optimal placement of the relay/anchor sensor nodes in smart parking is an important parameter upon which the cost and efficiency of the parking system depends. We formulate the optimal placement of sensors in smart parking as an integer linear programming multi-objective problem optimizing the sensor network engineering efficiency in terms of coverage and lifetime maximization, as well as its economic gain in terms of the number of sensors deployed for a specific coverage and lifetime. We propose an exact solution to the node placement problem using single-step and two-step solutions implemented in the Mosel language based on the Xpress-MPsuite of libraries. Experimental results reveal the relative efficiency of the single-step compared to the two-step model on different performance parameters. These results are consolidated by simulation results, which reveal that our solution outperforms a random placement in terms of both energy consumption, delay and throughput achieved by a smart parking network.
The Effect of Kinesio Taping on Handgrip and Active Range of Motion of Hand in Children with Cerebral Palsy

Objective Kinesio taping is a relatively new technique, which uses in rehabilitation of neurologic diseases. The aim of this study was to investigate the effects of Kinesio taping on hand grip and active range of motion of hand in children with cerebral palsy (CP). Materials and Methods In this experimental study with pre-test and three post-tests, 32 children with CP randomly were placed in experimental (n=17) and control group (n=15). Kinesio taping was applied on dorsum of forearm and hand. Evaluation was performed initially, two days after taping and two days after tape removal. Goniometer was used to evaluate active range of motion of wrist extension. In addition, vigorimeter was used to evaluate of grip strength. Results In pre-test, there was no difference between groups but in post-tests; initially after application of taping with P<0.05, two days after application of taping with P<0.05 and follow-up (two days after removed taping) with P<0.05 were significant differences between trial and control group. Conclusion Kinesio taping in neurorehabilitation of children with CP can be a useful option to promote power or grip strength and active range of motion of wrist and thumb.
Frugivorous Bats Maintain Functional Habitat Connectivity in Agricultural Landscapes but Rely Strongly on Natural Forest Fragments

Anthropogenic changes in land use threaten biodiversity and ecosystem functioning by the conversion of natural habitat into agricultural mosaic landscapes, often with drastic consequences for the associated fauna. The first step in the development of efficient conservation plans is to understand movement of animals through complex habitat mosaics. Therefore, we studied ranging behavior and habitat use in Dermanura watsoni (Phyllostomidae), a frugivorous bat species that is a valuable seed disperser in degraded ecosystems. Radio-tracking of sixteen bats showed that the animals strongly rely on natural forest. Day roosts were exclusively located within mature forest fragments. Selection ratios showed that the bats foraged selectively within the available habitat and positively selected natural forest. However, larger daily ranges were associated with higher use of degraded habitats. Home range geometry and composition of focal foraging areas indicated that wider ranging bats performed directional foraging bouts from natural to degraded forest sites traversing the matrix over distances of up to three hundred meters. This behavior demonstrates the potential of frugivorous bats to functionally connect fragmented areas by providing ecosystem services between natural and degraded sites, and highlights the need for conservation of natural habitat patches within agricultural landscapes that meet the roosting requirements of bats.
DC Drain Current Model for Tunnel FETs Considering Source and Drain Depletion Regions

This paper presents a 2-D model for the DC drain current of a tunnelling field-effect transistor (TFET) considering the source and the drain depletion regions. Analytical expressions are derived for the surface potential, electric field and the band to band generation rate. The drain current is obtained by numerically integrating the generation rate across the entire device. The model is able to predict the ambipolar current as well as the effects of drain voltage in the saturation region. The model uses a semi-empirical approach to capture the transition between the linear and the saturation regions, which gives an infinitely differentiable transfer characteristics. This model includes the effects of drain voltage, gate metal work function, oxide thickness, and silicon film thickness. The accuracy of the model is confirmed by a comparison with 2-D numerical simulations. It is also demonstrated that the proposed model is scalable down to a channel length of 20 nm.
Class Versioning for the Schema Evolution

In schema evolution, a versioning mechanism can be provided for the management of versions of a schema. However most approaches do not fully explore polymorphism in the context of versioning. To deal with this problem, we present an algebra of versioning that is used to perform complex versioning operations. Then, the result of the operations can be made persistent in versions. All versions that are in the same scope (class) are clustered within a version tree. In order to keep consistency between a schema and its versions, di erent relationships between clusters of versions are introduced. These relationships are extensions of well-known is-a and part-of relationships to versions. The data structures that record this complex versioning are hypergraphs, in which hyperedges are clusters and hypervertexes are the relationships between versions. To allow e cient consistency checking after a schema update, the relationships between versions are kept in di erent data structures (i.e., inheritance, aggregation, and dependency hypergraphs). Consistency and propagation rules are then applied to these hypergraphs to enforce the semantics of class versioning.
An Experimental Investigation of Drunk Personality Using Self and Observer Reports

Across various cultures there are robust stereotypes regarding how alcohol intoxication alters individuals’ normative personalities. However, whether these stereotypes are rooted in genuine average effects or in salient, socially proliferated exemplars remains unclear. The current study tested if differences between sober and intoxicated personality expression can be observed reliably by trained raters during a drinking episode. Participants (N = 156), half of whom received alcohol, attended laboratory sessions in same-gender friend groups and engaged in activities designed to elicit a range of personality expression. Participants completed self-reports of their “typical” sober and drunk personalities 2 weeks prior to their sessions and via two short measures during the session. In addition, participants were recorded and rated by multiple (range = 5–17) trained raters using three personality measures. Self-perceptions of sober-to-drunk personality differences were more pervasive than observer-perceptions, but alcohol-induced changes in Extraversion, specifically, were robust across measures and reporters.
Human Fertility, Molecular Genetics, and Natural Selection in Modern Societies

Research on genetic influences on human fertility outcomes such as number of children ever born (NEB) or the age at first childbirth (AFB) has been solely based on twin and family-designs that suffer from problematic assumptions and practical limitations. The current study exploits recent advances in the field of molecular genetics by applying the genomic-relationship-matrix based restricted maximum likelihood (GREML) methods to quantify for the first time the extent to which common genetic variants influence the NEB and the AFB of women. Using data from the UK and the Netherlands (N = 6,758), results show significant additive genetic effects on both traits explaining 10% (SE = 5) of the variance in the NEB and 15% (SE = 4) in the AFB. We further find a significant negative genetic correlation between AFB and NEB in the pooled sample of –0.62 (SE = 0.27, p-value = 0.02). This finding implies that individuals with genetic predispositions for an earlier AFB had a reproductive advantage and that natural selection operated not only in historical, but also in contemporary populations. The observed postponement in the AFB across the past century in Europe contrasts with these findings, suggesting an evolutionary override by environmental effects and underscoring that evolutionary predictions in modern human societies are not straight forward. It emphasizes the necessity for an integrative research design from the fields of genetics and social sciences in order to understand and predict fertility outcomes. Finally, our results suggest that we may be able to find genetic variants associated with human fertility when conducting GWAS-meta analyses with sufficient sample size.
Lattice Score Based Data Cleaning for Phrase-Based Statistical Machine Translation

Statistical machine translation relies heavi ly on parallel corpora to train its models for translation tasks. While more and more bilingual corpora are readily available, the quality of the sentence pairs should be taken into consideration. This paper presents a novel lattice score-based data cleaning method to select proper sentence pairs from the ones extracted from a bilingual corpus by the sentence alignment methods. The proposed method is carried out as follows: firstly, an initial phrasebased model is trained on the full sentencealigned corpus; then for each of the sentence pairs in the corpus, word alignments are used to create anchor pairs and sourceside lattices; thirdly, based on the translation model, target-side phrase networks are expanded on the lattices and Viterbi searching is used to find approximated decoding results; finally, BLEU score thresholds are used to filter out the low-score sentence pairs for the data cleaning purpose. Our experiments on the FBIS corpus showed improvements of BLEU score from 23.78 to 24.02 in Chinese-English.
Associations between polymorphisms in the thymidylate synthase and serine hydroxymethyltransferase genes and susceptibility to malignant lymphoma.

BACKGROUND AND OBJECTIVES Polymorphisms in thymidylate synthase (TS) 28-bp tandem repeats in the promoter region and in cytosolic serine hydroxymethyltransferase (SHMT1 C1420T) have been reported to modulate the risk of adult acute lymphocytic leukemia (ALL). We examined the associations between susceptibility to malignant lymphoma and these polymorphisms. DESIGN AND METHODS A hospital-based prevalent case-control study was conducted in Aichi Cancer Center. One hundred and eight patients with histologically confirmed lymphoma and 494 control subjects without cancer were evaluated. RESULTS In a risk estimation of each genotype, those who harbored at least one TS 2 repeat (2R) allele had a 1.6-fold increase in the risk of malignant lymphoma (OR=1.63; 95%CI, 1.05-2.53, p=0.030) when using those without the TS 2R allele as a reference. For the SHMT1 C1420T polymorphism, those harboring at least one T allele showed a 2.2-fold decrease in risk (OR =0.46; 95% CI, 0.23-0.93, p=0.031). Moreover, combined analysis of TS and SHMT1 polymorphisms revealed that the OR for lymphoma in patients with SHMT1 1420 CC and the TS 2R allele, which might be expected to provide the basis for the highest susceptibility, was 2.88 (95% CI, 1.26-6.58, p=0.013). INTERPRETATIONS AND CONCLUSIONS This study suggests that genetic traits involving low penetrance polymorphisms in folate-metabolizing genes may modulate the risk of malignant lymphoma.
Plan of Activities on the Map Calculus

Tarski-Givant's map calculus is brieey reviewed and a plan of research is outlined , aimed at investigating applications of this formalism in the theorem-proving eld. The connections between rst-order logic and the map calculus are investigated , focusing on techniques for translating single sentences from one context to the other as well as on the translation of entire set theories. Issues regarding 'safe' forms of map reasoning are singled out, in sight of possible generalizations to the database area.
Evaluating CT Perfusion Using Outcome Measures of Delayed Cerebral Ischemia in Aneurysmal Subarachnoid Hemorrhage

Ninety-six patients with SAH were evaluated with CT perfusion for cortical deficits and these were correlated with primary (permanent neurologic deficits and infarctions) and secondary (delayed cerebral ischemia manifesting as clinical deterioration) outcome measures. One-third of patients developed permanent neurologic deficits (78% showed CT perfusion defects), infarctions developed in 18% (88% had perfusion defects), and delayed cerebral ischemia was found in 50% (81% had perfusion defects). The most common perfusion abnormalities were reduced CBF and prolonged MTT. BACKGROUND AND PURPOSE: DCI is a serious complication following aneurysmal SAH and remains a leading cause of morbidity and mortality. Our aim was to evaluate CTP in aneurysmal SAH by using outcome measures of DCI. MATERIALS AND METHODS: This was a retrospective study of consecutive patients with SAH enrolled in a prospective institutional review board–approved clinical accuracy trial. Qualitative CTP deficits were determined by 2 neuroradiologists blinded to clinical and imaging data. Quantitative CTP was performed by using a standardized protocol with region-of-interest placement sampling of the cortex. Primary outcome measures were permanent neurologic deficits and infarction. The secondary outcome measure was DCI, defined as clinical deterioration. CTP test characteristics (95% CI) were determined for each outcome measure. Statistical significance was calculated by using the Fisher exact and Student t tests. ROC curves were generated to determine accuracy and threshold analysis. RESULTS: Ninety-six patients were included. Permanent neurologic deficits developed in 33% (32/96). CTP deficits were seen in 78% (25/32) of those who developed permanent neurologic deficits and 34% (22/64) of those without (P < .0001). CTP deficits had 78% (61%–89%) sensitivity, 66% (53%–76%) specificity, and 53% (39%–67%) positive and 86% (73%–93%) negative predictive values. Infarction occurred in 18% (17/96). CTP deficits were seen in 88% (15/17) of those who developed infarction and 41% (32/79) of those without (P = .0004). CTP deficits had an 88% (66%–97%) sensitivity, 59% (48%–70%) specificity, and 32% (20%–46%) positive and 96% (86%–99%) negative predictive values. DCI was diagnosed in 50% (48/96). CTP deficits were seen in 81% (39/48) of patients with DCI and in 17% (8/48) of those without (P < .0001). CTP deficits had 81% (68%–90%) sensitivity, 83% (70%–91%) specificity, and 83% (70%–91%) positive and 82% (69%–90%) negative predictive values. Quantitative CTP revealed significantly reduced CBF and prolonged MTT for DCI, permanent neurologic deficits, and infarction. ROC analysis showed that CBF and MTT had the highest accuracy. CONCLUSIONS: CTP may add prognostic information regarding DCI and poor outcomes in aneurysmal SAH.
Organizational Modeling and Analysis of Safety Occurrence Reporting in Air Traffic

An Air Traffic Organization (ATO) is a complex organization that involves many parties with diverse goals performing a wide range of tasks. Due to this high complexity, inconsistencies and performance bottlenecks may occur in ATOs. By analysis, such safetyand performance-related problems of an ATO can be identified. To perform reliable and profound analysis automated techniques are required. A formal model specification that comprises both prescriptive aspects of a formal organization and autonomous behavioral aspects of agents forms the basis for such techniques. This paper describes how such a model specification is developed and analyzed in the frames of a simulation case of incident reporting in the ATO
Simple Solutions to the Initial Conditions Problem in Multiple Equation Dynamic Panel Data Models with Individual Effects

This paper generalizes Wooldridge’s simple solutions to the initial conditions problems to multiple-equation dynamic models. The problem is taken care of by using, in each equation, interrelated linear projections where their unobserved components are integrated out using multiple-step Gauss-Hermite quadrature. The estimation is handled by maximum likelihood for a whole class of multiple equation dynamic models such as panel VARs and dynamic sample selection models among others. We derive a general form for the likelihood where only the core likelihood differs across models. The likelihood evaluation is straightforward and should be added as basic commands in econometric packages. ∗University of Maastricht, P.O. Box 616, 6200 MD Maastricht, The Netherlands; Room A4.27; Tel. : (+31) 43 388 4962; Fax: (+31) 43 388 4874; w.raymond@maastrichtuniversity.nl
Mapping the interaction of SmpB with ribosomes by footprinting of ribosomal RNA

In trans-translation transfer messenger RNA (tmRNA) and small protein B (SmpB) rescue ribosomes stalled on truncated or in other ways problematic mRNAs. SmpB promotes the binding of tmRNA to the ribosome but there is uncertainty about the number of participating SmpB molecules as well as their ribosomal location. Here, the interaction of SmpB with ribosomal subunits and ribosomes was studied by isolation of SmpB containing complexes followed by chemical modification of ribosomal RNA with dimethyl sulfate, kethoxal and hydroxyl radicals. The results show that SmpB binds 30S and 50S subunits with 1:1 molar ratios and the 70S ribosome with 2:1 molar ratio. SmpB-footprints are similar on subunits and the ribosome. In the 30S subunit, SmpB footprints nucleotides that are in the vicinity of the P-site facing the E-site, and in the 50S subunit SmpB footprints nucleotides that are located below the L7/L12 stalk in the 3D structure of the ribosome. Based on these results, we suggest a mechanism where two molecules of SmpB interact with tmRNA and the ribosome during trans-translation. The first SmpB molecule binds near the factor-binding site on the 50S subunit helping tmRNA accommodation on the ribosome, whereas the second SmpB molecule may functionally substitute for a missing anticodon stem–loop in tmRNA during later steps of trans-translation.
Challenges and successes in the treatment of hemophilia: the story of a patient with severe hemophilia A and high-titer inhibitors

In the past, patients with severe hemophilia have suffered a substantially reduced quality of life with frequent bleeding episodes, disabling arthropathy, and shorter life expectancy. In addition, methods of treatment and management have been costly and time-consuming, and have placed a considerable burden on patients’ physical and psychological well-being. With the advent of the on-demand therapy and prophylactic treatment paradigm, patients have been able to receive care with less interruption of daily activities. Treatments may be more challenging for hemophiliacs with inhibitors to replacement factor; however, recent advances in the use of bypassing agents and immune tolerance therapy have enabled them to aggressively manage their disease while maintaining their independence. This review focuses on the challenges of treating such a severe hemophiliac through examination of the lifetime experience of a young adult male with a severe form of congenital hemophilia A. At this stage of his life, the patient has minimal disabilities and is inhibitor-free through optimal care and strong family support. His aspiration to pursue a productive life has led him to a career in medicine. After receiving his medical degree, he pursued a specialty in the treatment of hemophilia. By assisting other hemophilia patients, he exemplifies both the rewards of persevering through episodes of bleeding and other complications and the fact that disabilities can be minimized when managed meticulously and in a timely fashion to enable a productive and dignified life.