Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical Symptoms Related to Blood Glucose in Insulin‐Dependent Diabetics

&NA; Thirty hospitalized diabetics completed symptom checklists immediately prior to monitoring their own blood glucose level seven times a day for 6—10 days. For each subject, simple correlations were computed between each of the physical symptoms and blood glucose level. Most subjects evidenced several symptoms that were highly correlated with glucose fluctuations. Further, the symptoms that were related to glucose differed from subject to subject. The symptom‐glucose correlations were reliable and unrelated to sex, age, duration of diabetes, and other individual difference variables. The findings point to a technique wherein patients can learn to perceive physical sensations indicative of changes in blood glucose in natural settings.
Tumor Necrosis Factor Alpha Modulates the Dynamics of the Plasminogen-Mediated Early Interaction between Bifidobacterium animalis subsp. lactis and Human Enterocytes

ABSTRACT The capacity to intervene with the host plasminogen system has recently been considered an important component in the interaction process between Bifidobacterium animalis subsp. lactis and the human host. However, its significance in the bifidobacterial microecology within the human gastrointestinal tract is still an open question. Here we demonstrate that human plasminogen favors the B. animalis subsp. lactis BI07 adhesion to HT29 cells. Prompting the HT29 cell capacity to activate plasminogen, tumor necrosis factor alpha (TNF-α) modulated the plasminogen-mediated bacterium-enterocyte interaction, reducing the bacterial adhesion to the enterocytes and enhancing migration to the luminal compartment.
Gene-for-gene interactions between the rye mildew fungus and wheat cultivars.

Genetic mechanisms of the incompatibility between Erysiphe graminis f.sp. secalis and wheat cultivars were analyzed using F1 hybrids between E. graminis f.sp. secalis, Sk-1, and f.sp. tritici, Tk-1. The avirulence of Sk-1 on Triticum aestivum 'Norin 4', 'Chinese Spring', and 'Kokeshi-komugi' was controlled by a single gene. The resistance of the three cultivars to Sk-1 was also controlled by a single gene, Pm15, a gene for resistance to E. graminis f.sp. agropyri. Implications of these results were discussed in terms of host-parasite coevolution.
Suicidal Ideation Following Traumatic Brain Injury: Prevalence Rates and Correlates in Adults Living in the Community

Objective:To explore the rates of suicidal ideation (SI) in a sample of community-dwelling adults with traumatic brain injury (TBI) and to assess the relationship between SI and demographic and injury characteristics, pre- and postinjury psychiatric history, and psychosocial functioning. Participants:Data were collected from a cohort study focused on health, psychosocial functioning, and community integration post-TBI (N = 356). Participants were individuals with mild to severe TBI living in the community. Measures:The Beck Depression Inventory II (BDI-II) was used to assess SI. Psychiatric functioning was assessed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV) Axis I disorders (SCID-I), and psychosocial functioning was assessed using the Life-3, the Flanagan Scale of Unmet Needs, and the Bigelow Quality of Life Questionnaire. Results:There were no differences in SI endorsement based on gender, age, race, income, education, injury severity, or length of time since injury. Those who met current criteria for a psychiatric diagnosis of depression, anxiety, or posttraumatic stress disorder reported SI more frequently. Those with SI reported significantly lower psychosocial functioning. Conclusion:Individuals with TBI from all demographic groups and with injuries of varying severity are at risk for SI and thus for emotional distress and suicidal behavior. Screening for SI is indicated in all individuals with TBI, particularly those with a history of premorbid substance misuse and concurrent mood and anxiety disorders. The importance of interventions to maximize social support and reduce social isolation is discussed.
An Advanced Model for Mining Time Interval Sequential Patterns in Stream data

Mainly existing sequential pattern mining algorithms are hard to find out long significant time-interval sequential patterns in information stream. In this paper, we propose a new bitmap-based algorithm of mining d time-interval sequential pattern in information stream called DSBMMS, which is based on binary bit counting and multiple time-interval sequential position. We transform the whole sequence database into bitmap and all operations into binary bit counting to get better progress regarding the efficiency of our algorithm. Moreover, instead of exact toning, we use multiple sequential positions to find out long significant time-interval sequential patterns. In the early stage of our algorithm, the information stream is separated into batches; we cluster the related sequences in each batch with our new distinct likeness or simililarity. Then, we make sequential position on each cluster to symbol each item a weight. A new data structure called TIPT (time-interval sequence position table) is proposed to smooth the progress of the sequential position with time intervals. At last, the biased sequences are filtered with particular specified threshold to produce the d time-interval sequential pattern. Our experiments show that DSBMMS is fast and suitable to mining d sequential pattern in information stream.
Investigating a novel GA-based feature selection method using improved KNN classifiers

This paper presents a novel scheme to select a subset of features from a dataset. We apply genetic algorithm (GA) with a random small subset of features. The GA explores stochastically a better subset of features using various combinations of lengths and features over a number of generations. The classification accuracy due to different classifiers in presence of these subsets of features is taken as the performance criteria (objective function) of GA. The proposed scheme is tested on a few UCI datasets. The performances of the KNN, informative KNN (local LI-KNN and global GI-KNN), and LI-KNN with boosting in presence of all features and those in presence of only selected subset of features are compared with reported results. With extensive simulation study, it is observed that the proposed scheme produces a reasonably good accuracy with a reduced subset of features in these datasets.
Perceived Reasons for Living at Index Hospitalization and Future Suicide Attempt

It is unclear why certain individuals choose not to engage in suicidal behavior. Although important, protective factors against suicidal behavior have seldom been studied. The Reasons for Living Inventory is a measure of putative protective factors that is inversely related to a history of suicide attempts, but its predictive utility remains relatively untested. This study sought to determine whether the Reasons for Living Inventory predicts future suicide attempts over a 2-year period. Depressed inpatients were assessed for reasons for living and were followed for 2 years. Follow-up interviews took place at 3 months, 1 year, and 2 years after discharge from the index hospitalization. Survival analysis indicates a high score on the Reasons for Living Inventory predicted fewer future suicide attempts within a 2-year period in women but not in men. Perceived reasons for living serve as protective factors against suicide attempt in women and not in men.
Ethylenediammonium bis(5-methyl-3-oxo-2-phenyl-2,3-dihydropyrazol-1-ide): a hydrogen-bond-supported supramolecular ionic assembly

The title compound, C2H10N2 2+·2C10H9N2O−, is composed of deprotonated 5-methyl-2-phenyl-1H-pyrazol-3(2H)-one anions (PMP−) and protonated ethylenediamine cations (H2en2+). The ethylenediammonium ion is located on a crystallographic inversion center. The dihedral angle between the phenyl and pyrazole rings is 39.73 (8)°. The two components are connected through N—H⋯O and N—H⋯N hydrogen bonds, forming an infinite three-dimensional network.
Deconstructing the Sharing Economy: On the relevance for IS research

In the past few years, Sharing Economy (SE) has become increasingly popular mainly for consumer research. Past research focused on describing the phenomenon itself and its disrupting influences on current economic mechanisms. However, information systems (IS) research and scientific literature in general still lack a common understanding of SE and its underlying mechanisms. We therefore elaborate on this gap by conducting a literature review among contributions within IS scholarship that address SE in order to identify to what extent past IS research has covered the topic yet. We aimed to highlight interrelations to adjacent topics and illustrate potential research gaps. As a result, we identified the four perspectives on how the topic is addressed, namely business model, sharing service, sharing asset and exogenous influences. Furthermore, we identified the four principles of SE, which are multi-sided markets, crowdsourcing, trust and recommendation and consumption-based pricing. With this contribution, we aim to guide further investigation of the topic. Additionally, we aim to highlight potential research gaps, as we claim SE to become much more relevant for IS in near future.
MR imaging of a viable full-term abdominal pregnancy.

Intraabdorninal pregnancy in the third trimester is rare; the subsequent delivery of a viable full-term fetus is exceptional. Optimal obstetric care requires early diagnosis and prompt surgical intervention to avert the potential complications associated with abdominal pregnancy. Clinical history and physcal examination may be insufficient or misleading, making the preoperative diagnosis extremely difficult. Sonography is currently the most effective method for diagnosing an abdominal pregnancy [1 , 2]. Magnetic resonance imaging (MRI) is a new, apparently safe, imaging method that can provide images in multiple planes without the use of ionizing radiation. We report a case of an abdominal pregnancy yielding a viable healthy full-term infant that was evaluated prenatally with MRI.
Reduced mucin sulfonation and impaired intestinal barrier function in the hyposulfataemic NaS1 null mouse

Objective: Sulfate (SO42−) is an abundant component of intestinal mucins and its content is decreased in certain gastrointestinal diseases, including inflammatory bowel disease. In this study, the hyposulfataemic NaS1 sulfate transporter null (Nas1−/−) mice were used to investigate the physiological consequences of disturbed sulfate homeostasis on (1) intestinal sulfomucin content and mRNA expression; (2) intestinal permeability and proliferation; (3) dextran sulfate sodium (DSS)-induced colitis; and (4) intestinal barrier function against the bacterial pathogen, Campylobacter jejuni. Methods: Intestinal sulfomucins and sialomucins were detected by high iron diamine staining, permeability was assessed by fluorescein isothiocyanate (FITC)–dextran uptake, and proliferation was assessed by 5-bromodeoxyuridine (BrdU) incorporation. Nas1−/− and wild-type (Nas1+/+) mice received DSS in drinking water, and intestinal damage was assessed by histological, clinical and haematological measurements. Mice were orally inoculated with C jejuni, and intestinal and systemic infection was assessed. Ileal mRNA expression profiles of Nas1−/− and Nas1+/+ mice were determined by cDNA microarrays and validated by quantitative real-time PCR. Results: Nas1−/− mice exhibited reduced intestinal sulfomucin content, enhanced intestinal permeability and DSS-induced colitis, and developed systemic infections when challenged orally with C jejuni. The transcriptional profile of 41 genes was altered in Nas1−/− mice, with the most upregulated gene being pancreatic lipase-related protein 2 and the most downregulated gene being carbonic anhydrase 1 (Car1). Conclusion: Sulfate homeostasis is essential for maintaining a normal intestinal metabolic state, and hyposulfataemia leads to reduced intestinal sulfomucin content, enhanced susceptibility to toxin-induced colitis and impaired intestinal barrier to bacterial infection.
Advances in the Application of Stochastic Geometry in Robotics

Stochastic geometry is an established branch of mathematics that studies uncertainty in geometric structures [1], [ 2 and is, thus, a befitting framework for autonomous robotic mapping and the well known Simultaneous Localization and Mapping (SLAM) problem, where the fundamental concern is succinctly captured in the title of the 1988 seminal paper by Durrant-Whyte, ”Uncertain geometry in robotics” [3]. The theory of random sets has long been used by statisticians in many diverse applications including agriculture, geology , and epidemiology [1], [2], [4]–[6]. In addition, there has been substantial work by probabilists and statisticians, in poi nt process filtering, such as that by Ikoma et al [7]. Applicatio ns of this are random point pattern methods for multiple object recognition in image analysis [8], [9], and recent work base d on random set analysis by Vo et al [10], which laid the foundations for set based multi-object visual tracking by Hoseinnezhad et al [11], [12]. The application of random set s in multi-target tracking has led to the development of Finit e Set Statistics (FISST) which provides the basis for novel fil t rs such as the Probability Hypothesis Density (PHD) filter [13] – [15] and the Cardinalized (C)-PHD filter [16] which recently attracted considerable research interest as well as deploy ment in commercial applications. As noted in the field of multi-target filtering by Mahler ([17] , page 571):
Achievable rates for the fading half-duplex single relay selection network using buffer-aided relaying

In the half-duplex single relay selection network, comprised of a source, M half-duplex relays, and a destination, only one relay is active at any given time, i.e., only one relay receives or transmits, and the other relays are inactive, i.e., they do not receive or transmit. The capacity of this network, when all links are affected by independent time-continuous fading and additive white Gaussian noise (AWGN), is still unknown. Hence, only achievable average rates have been reported in the literature so far. In this paper, we present new achievable average rates for this network which are larger than the best known average rates in the literature. These average rates are achieved with a buffer-aided relaying protocol. Since the developed buffer-aided protocol which achieves these rates introduces unbounded delay, we also devise a buffer-aided protocol which limits the delay at the expense of decrease in rate. Moreover, we show that the proposed buffer-aided relaying protocols do not require more resources for channel state information acquisition than the existing relay selection protocols.
Mediators of the Association Between Driving Cessation and Mortality Among Older Adults

Objective: The present study examined health and physical performance as mediators of the association between driving cessation and mortality among older residents of small and large cities. Method: Participants (N = 2,793) were from the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study. Participants’ driving status and health were measured at baseline, and mortality rates were observed across the subsequent 5 years. Results: Overall, mortality risk was 1.68 times higher for nondrivers versus drivers; this relationship was significantly mediated by physical performance and social, physical, and general health. For large-city residents, mediation effects for all mediators were significant and complete. For small-city residents, only physical and general health were significant mediators, and these effects were partial. Discussion: Health difficulties that accompany or follow driving cessation may explain the association between driving cessation and mortality, particularly for residents of large cities, where alternative transportation options may be more numerous.
Regulatory Interactions between the Checkpoint Kinase Chk1 and the Proteins of the DNA-dependent Protein Kinase Complex*

Checkpoints are biochemical pathways that provide cells a mechanism to detect DNA damage and respond by arresting the cell cycle to allow DNA repair. The conserved checkpoint kinase, Chk1, regulates mitotic progression in response to DNA damage by blocking the activation of Cdk1/cyclin B. In this study, we investigate the regulatory interaction between Chk1 and members of the Atm family of kinases and the functional role of the C-terminal non-catalytic domains of Chk1. Chk1 stimulates the kinase activity of DNA-PK (protein kinase) complexes, which leads to increased phosphorylation of p53 on Ser-15 and Ser-37. In addition, Chk1 stimulates DNA-PK-dependent end-joining reactions in vitro. We also show that Chk1 protein complexes bind to single-stranded DNA and DNA ends. These results indicate a connection between components that regulate the checkpoint pathways and DNA-PK complex proteins, which have a role in the repair of double strand breaks.
Involvement of Superoxide Dismutase in Spore Coat Assembly in Bacillus subtilis

ABSTRACT Endospores of Bacillus subtilis are enclosed in a proteinaceous coat which can be differentiated into a thick, striated outer layer and a thinner, lamellar inner layer. We found that the N-terminal sequence of a 25-kDa protein present in a preparation of spore coat proteins matched that of the Mn-dependent superoxide dismutase (SOD) encoded by the sodA locus.sodA is transcribed throughout the growth and sporulation of a wild-type strain and is responsible for the SOD activity detected in total cell extracts prepared from B. subtilis. Disruption of the sodA locus produced a mutant that lacked any detectable SOD activity during vegetative growth and sporulation. The sodA mutant was not impaired in the ability to form heat- or lysozyme-resistant spores. However, examination of the coat layers of sodA mutant spores revealed increased extractability of the tyrosine-rich outer coat protein CotG. We showed that this condition was not accompanied by augmented transcription of the cotG gene in sporulating cells of the sodA mutant. We conclude that SodA is required for the assembly of CotG into the insoluble matrix of the spore and suggest that CotG is covalently cross-linked into the insoluble matrix by an oxidative reaction dependent on SodA. Ultrastructural analysis revealed that the inner coat formed by a sodA mutant was incomplete. Moreover, the outer coat lacked the characteristic striated appearance of wild-type spores, a pattern that was accentuated in acotG mutant. These observations suggest that the SodA-dependent formation of the insoluble matrix containing CotG is largely responsible for the striated appearance of this coat layer.
A Semantic-Based Approach for Handling Incomplete and Inaccurate Provenance in Reservoir Engineering

Provenance is becoming an important issue as a reliable estimator of data quality. However, provenance collection mechanisms in the reservoir engineering domain often result in incomplete provenance information. In this paper, we address the problem of predicting missing provenance information in reservoir engineering. Based on the observation that data items with specific semantic “connections” may share the same provenance, our approach annotates data items with domain entities defined in a domain ontology, and represent these “connections” as sequences of relationships (also known as semantic associations) in the ontology graph. By analyzing annotated historical datasets with complete provenance information, we capture semantic associations that may imply identical provenance. A statistical analysis is applied to assign probability values to the discovered associations, which indicate the confidence of each association when it is used for future provenance prediction. We develop a voting algorithm which utilizes the semantic associations and their confidence measures to predict the missing provenance information. Because the existing provenance information can be incorrect due to errors during the manual provenance annotation procedure, as an extension of the voting algorithm, we further design an algorithm for prediction which takes into account both the confidence measures of semantic associations and the accuracy of the existing provenance. A probability value is calculated as the trust of each prediction result. We develop the ProPSA (Provenance Prediction based on Semantic Associations) system which uses our proposed approaches to handle incomplete and inaccurate provenance information in reservoir engineering. Our evaluation shows that the average precision of our approach is above 85% when one-third of the provenance information is missing.
The Myopathic Protein Myotilin in Developing Mouse and in Muscle Function

Skeletal muscle cells are highly specialised in order to accomplish their function. During development, the fusion of hundreds of immature myoblasts creates large syncytial myofibres with a highly ordered cytoplasm filled with packed myofibrils. The assembly and organisation of contractile myofibrils must be tightly controlled. Indeed, the number of proteins involved in sarcomere building is impressive, and the role of many of them has only recently begun to be elucidated. Myotilin was originally identified as a high affinity α-actinin binding protein in yeast twohybrid screen. It was then found to interact also with filamin C, actin, ZASP and FATZ-1. Human myotilin is mainly expressed in striated muscle and induces efficient actin bundling in vitro and in cells. Moreover, mutations in myotilin cause different forms of muscle disease, now collectively known as myotilinopathies. In this thesis, consisting of three publications, the work on the mouse orthologue is presented. First, the cloning and molecular characterisation of the mouse myotilin gene showed that human and mouse myotilin share high sequence homology and a similar expression pattern and gene regulation. Functional analysis of the mouse promoter revealed the myogenic factor-binding elements that are required for myotilin gene transcription. Secondly, expression of myotilin was studied during mouse embryogenesis. Surprisingly, myotilin was expressed in a wide array of tissues at some stages of development; its expression pattern became more restricted at perinatal stages and in adult life. Immunostaining of human embryos confirmed broader myotilin expression compared to the sarcomeric marker titin. Finally, in the third article, targeted deletion of myotilin gene in mice revealed that it is not essential for muscle development and function. These data altogether indicate that the mouse can be used as a model for human myotilinopathy and that loss of myotilin does not alter significantly muscle structure and