Miracle-dz/UniFAR-FTUs huggingface dataset:
Zinc bioavailability in tetrabasic zinc chloride and the dietary zinc requirement of young chicks fed a soy concentrate diet.

Three chick assays were conducted to determine a bioavailable Zn requirement and to establish a Zn relative bioavailability (RBV) value for tetrabasic Zn chloride [TBZC, i.e., Zn5Cl2(OH)8]. In Assay 1, 8-d-old chicks were fed a Zn-deficient soy concentrate diet (8.8 mg/kg bioavailable Zn) supplemented with 0, 5.81, 10.81, 15.10, and 20.25 mg Zn/kg from ZnSO4.7H2O for 14 d to establish a linear response range and estimate a bioavailable Zn requirement. Weight gain of chicks increased linearly (P < 0.01; r2 = 0.99) when the first three levels of Zn were fed. Broken-line analysis of the weight gain data indicated a bioavailable Zn requirement of 22.4 mg/kg. In Assay 2, RBV of Zn in TBZC was determined by multiple-linear regression slope-ratio methodology. The Zn-deficient basal diet was supplemented with 0, 5.81, and 10.81 mg Zn/kg from ZnSO4.7H2O to produce a linear growth response as determined in Assay 1. The same basal diet was supplemented with 5.38 and 10.81 mg Zn/kg from TBZC. The RBV of Zn in TBZC was found to be 102%, which was not different (P > 0.10) from 100%. A third assay was conducted as described for Assay 2, and the RBV of Zn in TBZC was 111%, which was not different from 100%. In summary, the RBV of Zn in TBZC was not different from that of ZnSO4.7H2O, and the minimal bioavailable Zn requirement for chicks 1 to 3 wk of age fed a soy concentrate diet was estimated at 22.4 mg/kg.
NSs protein of Schmallenberg virus counteracts the antiviral response of the cell by inhibiting its transcriptional machinery

Bunyaviruses have evolved a variety of strategies to counteract the antiviral defence systems of mammalian cells. Here we show that the NSs protein of Schmallenberg virus (SBV) induces the degradation of the RPB1 subunit of RNA polymerase II and consequently inhibits global cellular protein synthesis and the antiviral response. In addition, we show that the SBV NSs protein enhances apoptosis in vitro and possibly in vivo, suggesting that this protein could be involved in SBV pathogenesis in different ways.
Conductive and Stable Magnesium Oxide Electron‐Selective Contacts for Efficient Silicon Solar Cells

A high Schottky barrier (>0.65 eV) for electrons is typically found on lightly doped n‐type crystalline (c‐Si) wafers for a variety of contact metals. This behavior is commonly attributed to the Fermi‐level pinning effect and has hindered the development of n‐type c‐Si solar cells, while its p‐type counterparts have been commercialized for several decades, typically utilizing aluminium alloys in full‐area, and more recently, partial‐area rear contact configurations. Here the authors demonstrate a highly conductive and thermally stable electrode composed of a magnesium oxide/aluminium (MgOx/Al) contact, achieving moderately low resistivity Ohmic contacts on lightly doped n‐type c‐Si. The electrode, functionalized with nanoscale MgOx films, significantly enhances the performance of n‐type c‐Si solar cells to a power conversion efficiency of 20%, advancing n‐type c‐Si solar cells with full‐area dopant‐free rear contacts to a point of competitiveness with the standard p‐type architecture. The low thermal budget of the cathode formation, its dopant‐free nature, and the simplicity of the device structure enabled by the MgOx/Al contact open up new possibilities in designing and fabricating low‐cost optoelectronic devices, including solar cells, thin film transistors, or light emitting diodes.
A multicentre validation of the 1-min sit-to-stand test in patients with COPD

Our aim was to comprehensively validate the 1-min sit-to-stand (STS) test in chronic obstructive pulmonary disease (COPD) patients and explore the physiological response to the test. We used data from two longitudinal studies of COPD patients who completed inpatient pulmonary rehabilitation programmes. We collected 1-min STS test, 6-min walk test (6MWT), health-related quality of life, dyspnoea and exercise cardiorespiratory data at admission and discharge. We assessed the learning effect, test–retest reliability, construct validity, responsiveness and minimal important difference of the 1-min STS test. In both studies (n=52 and n=203) the 1-min STS test was strongly correlated with the 6MWT at admission (r=0.59 and 0.64, respectively) and discharge (r=0.67 and 0.68, respectively). Intraclass correlation coefficients (95% CI) between 1-min STS tests were 0.93 (0.83–0.97) for learning effect and 0.99 (0.97–1.00) for reliability. Standardised response means (95% CI) were 0.87 (0.58–1.16) and 0.91 (0.78–1.07). The estimated minimal important difference was three repetitions. End-exercise oxygen consumption, carbon dioxide output, ventilation, breathing frequency and heart rate were similar in the 1-min STS test and 6MWT. The 1-min STS test is a reliable, valid and responsive test for measuring functional exercise capacity in COPD patients and elicited a physiological response comparable to that of the 6MWT. The 1-min STS test is a reliable, valid and responsive exercise capacity test in COPD with an MID of 3 repetitions http://ow.ly/teNx307ni0Q
Supporting family dementia caregivers: testing the efficacy of dementia care management on multifaceted caregivers’ burden

ABSTRACT Objectives: Current research suggests that dementia care management (DCM) can decrease burden and associated health impairments of caregivers. The objective of this secondary analysis is to investigate the impact of DCM on multifaceted caregivers’ burden dimensions by differentiating between objective and subjective burden. Methods: A sample of n = 317 dyads of caregivers and community-dwelling people with dementia (PwD) participated in a general practitioner-based, cluster-randomized intervention trial (Identifier:NCT01401582) with two arms and comprehensive data assessment at baseline and 12-month follow-up. Data provided by the caregiver included an inventory with 88 items in 20 different dimensions. Results: Caregivers in the intervention ‘DCM’ group showed decreased caregiver burden, especially in caregivers’ objective burden due to caring (i.e. emotional support), caregivers’ subjective burden due to behavior change (i.e. cognition, aggression and resistance, depression, late symptoms) and caregivers’ subjective burden due to perceived conflicts between needs and responsibilities to care (i.e. financial losses) compared to caregivers in the control ‘care as usual’ group, which showed significant increased caregiver burden after 12 months. Conclusion: Our findings support evidence for the effectiveness of DCM to lower family dementia caregivers' burden in multifaceted dimensions.
Headspace volatile organic compounds from bacteria implicated in ventilator-associated pneumonia analysed by TD-GC/MS

Ventilator-associated pneumonia (VAP) is a healthcare-acquired infection arising from the invasion of the lower respiratory tract by opportunistic pathogens in ventilated patients. The current method of diagnosis requires the culture of an airway sample such as bronchoalveolar lavage, which is invasive to obtain and may take up to seven days to identify a causal pathogen, or indeed rule out infection. While awaiting results, patients are administered empirical antibiotics; risks of this approach include lack of effect on the causal pathogen, contribution to the development of antibiotic resistance and downstream effects such as increased length of intensive care stay, cost, morbidity and mortality. Specific biomarkers which could identify causal pathogens in a timely manner are needed as they would allow judicious use of the most appropriate antimicrobial therapy. Volatile organic compound (VOC) analysis in exhaled breath is proposed as an alternative due to its non-invasive nature and its potential to provide rapid diagnosis at the patient’s bedside. VOCs in exhaled breath originate from exogenous, endogenous, as well as microbial sources. To identify potential markers, VAP-associated pathogens Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, and Staphylococcus aureus were cultured in both artificial sputum medium and nutrient broth, and their headspaces were sampled and analysed for VOCs. Previously reported volatile markers were identified in this study, including indole and 1-undecene, alongside compounds that are novel to this investigation, cyclopentanone and 1-hexanol. We further investigated media components (substrates) to identify those that are essential for indole and cyclopentanone production, with potential implications for understanding microbial metabolism in the lung.
The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents

Objective This study was designed to investigate the revised and short version of the smartphone addiction scale and the proof of its validity in adolescents. In addition, it suggested cutting off the values by gender in order to determine smartphone addiction and elaborate the characteristics of smartphone usage in adolescents. Method A set of questionnaires were provided to a total of 540 selected participants from April to May of 2013. The participants consisted of 343 boys and 197 girls, and their average age was 14.5 years old. The content validity was performed on a selection of shortened items, while an internal-consistency test was conducted for the verification of its reliability. The concurrent validity was confirmed using SAS, SAPS and KS-scale. Receiver operating characteristics analysis was conducted to suggest cut-off. Results The 10 final questions were selected using content validity. The internal consistency and concurrent validity of SAS were verified with a Cronbach's alpha of 0.911. The SAS-SV was significantly correlated with the SAS, SAPS and KS-scale. The SAS-SV scores of gender (p<.001) and self-evaluation of smartphone addiction (p<.001) showed significant difference. The ROC analysis results showed an area under a curve (AUC) value of 0.963(0.888–1.000), a cut-off value of 31, sensitivity value of 0.867 and specificity value of 0.893 in boys while an AUC value of 0.947(0.887–1.000), a cut-off value of 33, sensitivity value of 0.875, and a specificity value of 0.886 in girls. Conclusions The SAS-SV showed good reliability and validity for the assessment of smartphone addiction. The smartphone addiction scale short version, which was developed and validated in this study, could be used efficiently for the evaluation of smartphone addiction in community and research areas.
Motor competency and social communication skills in preschool children with autism spectrum disorder

This study aimed to investigate the association between motor competency and social communication in children with Autism Spectrum Disorder (ASD) compared with children with Intellectual Disabilities (ID) and typically developing (TD) children. Motor competency, ASD symptoms, and nonverbal Intelligent Quotient (IQ) were investigated through the following tests: Movement Assessment Battery for Children, second edition (MABC‐2), Social Communication Questionnaire (SCQ), Autism Classification System of Functioning: Social Communication (ACSF:SC) and Leiter International Performances Scale Revised (Leiter‐R). The ASD + ID and ID groups had lower MABC‐2‐manual dexterity mean scores, MABC‐2‐aiming and catching mean scores, MABC‐2‐static and dynamic balance mean scores and MABC‐2‐TTS compared with the TD group (P < 0.05). In addition, the ASD + ID group had lower MABC‐2‐aiming and catching mean scores compared with the ID group. In the ASD + ID group, we found a significant negative correlation (P < 0.001) between MABC‐2‐aiming and catching scores with SCQ scores, nonverbal IQ and ACSF:SC levels. Our findings provide new insight into the common neuropsychological mechanisms underlying social communication and motor deficits in ASD. Multiple deficits in motor functioning may be present in ASD and ID, however deficits involving the ability to integrate motor and social cues are somewhat specific to ASD. Autism Res 2018, 11: 893–902. © 2018 International Society for Autism Research, Wiley Periodicals, Inc.
Long-term effects of feeding flaxseed on performance and egg fatty acid composition of brown and white hens.

Two hundred fifty-six 18-wk-old Shaver White and ISA-Brown pullets were fed commercial diets containing either 0 or 10% flaxseed in order to study the long-term effects of feeding flaxseed on hen performance and egg production parameters. Performance was monitored over 10 consecutive 28-d periods. Flaxseed was introduced gradually at 28 wk of age and was maintained until hens were 53 wk of age, when flaxseed was gradually eliminated from the diet. Feed intake was less (P < 0.05) for hens fed flaxseed compared to those consuming the control diet. Flax-fed hens were also lighter (P < 0.05) compared to the control birds. Egg production, egg weight, shell weight, albumen height, and shell thickness were not significantly (P > 0.05) different for hens consuming 0 and 10% flaxseed; however, yolk weight was reduced (P < 0.05) in hens fed flaxseed. Both strains of birds fed flaxseed deposited significantly more n-3 fatty acids into their eggs. Sampling of livers at the end of the trial showed that hens fed flaxseed had a higher (P < 0.05) incidence of liver hemorrhages.
Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers

We present a systematic weight pruning framework of deep neural networks (DNNs) using the alternating direction method of multipliers (ADMM). We first formulate the weight pruning problem of DNNs as a constrained nonconvex optimization problem, and then adopt the ADMM framework for systematic weight pruning. We show that ADMM is highly suitable for weight pruning due to the computational efficiency it offers. We achieve a much higher compression ratio compared with prior work while maintaining the same test accuracy, together with a faster convergence rate. Our models are released at this https URL
Musical Chair: Efficient Real-Time Recognition Using Collaborative IoT Devices

The prevalence of Internet of things (IoT) devices and abundance of sensor data has created an increase in real-time data processing such as recognition of speech, image, and video. While currently such processes are offloaded to the computationally powerful cloud system, a localized and distributed approach is desirable because (i) it preserves the privacy of users and (ii) it omits the dependency on cloud services. However, IoT networks are usually composed of resource-constrained devices, and a single device is not powerful enough to process real-time data. To overcome this challenge, we examine data and model parallelism for such devices in the context of deep neural networks. We propose Musical Chair to enable efficient, localized, and dynamic real-time recognition by harvesting the aggregated computational power from the resource-constrained devices in the same IoT network as input sensors. Musical chair adapts to the availability of computing devices at runtime and adjusts to the inherit dynamics of IoT networks. To demonstrate Musical Chair, on a network of Raspberry PIs (up to 12) each connected to a camera, we implement a state-of-the-art action recognition model for videos and two recognition models for images. Compared to the Tegra TX2, an embedded low-power platform with a six-core CPU and a GPU, our distributed action recognition system achieves not only similar energy consumption but also twice the performance of the TX2. Furthermore, in image recognition, Musical Chair achieves similar performance and saves dynamic energy.
Feasibility of 3D Reconstruction of Neural Morphology Using Expansion Microscopy and Barcode-Guided Agglomeration

We here introduce and study the properties, via computer simulation, of a candidate automated approach to algorithmic reconstruction of dense neural morphology, based on simulated data of the kind that would be obtained via two emerging molecular technologies—expansion microscopy (ExM) and in-situ molecular barcoding. We utilize a convolutional neural network to detect neuronal boundaries from protein-tagged plasma membrane images obtained via ExM, as well as a subsequent supervoxel-merging pipeline guided by optical readout of information-rich, cell-specific nucleic acid barcodes. We attempt to use conservative imaging and labeling parameters, with the goal of establishing a baseline case that points to the potential feasibility of optical circuit reconstruction, leaving open the possibility of higher-performance labeling technologies and algorithms. We find that, even with these conservative assumptions, an all-optical approach to dense neural morphology reconstruction may be possible via the proposed algorithmic framework. Future work should explore both the design-space of chemical labels and barcodes, as well as algorithms, to ultimately enable routine, high-performance optical circuit reconstruction.
The effect of environmental temperature on potassium concentrations in the blood of the domestic fowl.

The effects of environmental temperature on the blood potassium concentration of chickens of different ages were studied. The mean environmental temperatures used were 8 degrees, 19 degrees and 30 degrees C. There were no statistically significant differences in blood potassium concentration between age groups within a given temperature. Birds acclimated to an environmental temperature of 30 degrees C. , had a lower mean blood potassium concentration than birds acclimated to an environmental temperature of 8 degrees C. There was no significant difference between the birds at 19 degrees C. and the other groups. Birds transferred from the 8 degrees to the 30 degrees C. environmental temperature showed a significant decrease in whole blood potassium concentrations as early as six hr. following transfer. In birds transferred from the 30 degrees to the 8 degrees C. environmental temperature, the blood potassium concentrations before and after transfer did not differ significantly. The results of this study indicate that blood potassium concentrations change with acclimation by the domestic fowl.
A comparison of the effect of two force molting methods on performance of two commercial strains of laying hens.

A low-sodium diet (.08% Na) was used to force molt 409 hens. Another 421 hens were force molted by conventional water and feed restrictions. Birds were 68 weeks of age at that time, and two strains were about equally represented in each treatment group. These strains were: A, DeKalb; and B, Hisex. The low-sodium diet and water were provided ad libitum to the first group for the entire period of molt (42 days). The second group received no water for 3 days, and no feed for 4 days, after which incremental amounts of whole oats were provided as the only feed until Day 18. After Day 18, incremental amounts of a regular laying mash and decremental amounts of whole oats were provided through Day 26, when laying mash only was given ad libitum. Both treatment groups were in the same building and received the same lighting program during the force-molt period. This program consisted of: Days 1 to 3, no light; Days 4 to 18, 8 hr/day; Days 19 to 25, 9 hr/day; Day 26, 10 hr; then, light was increased 30 min weekly until 14 hr daily was attained. The low-sodium group ceased laying after 28 to 31 days, lost 8.7% of their premolt body weight, reduced feed consumption by 35%, and decreased egg production from 62.3% (in the 28 days preceding the molt) to 19% in the 42 days of molt; their mortality rate was 3.4%. (ABSTRACT TRUNCATED AT 250 WORDS)
Roughness Spectra Derived from Multi-Scale LiDAR Point Clouds of a Gravel Surface: A Comparison and Sensitivity Analysis

The roughness spectrum (i.e., the power spectral density) is a derivative of digital terrain models (DTMs) that is used as a surface roughness descriptor in many geomorphological and physical models. Although light detection and ranging (LiDAR) has become one of the main data sources for DTM calculation, it is still unknown how roughness spectra are affected when calculated from different LiDAR point clouds, or when they are processed differently. In this paper, we used three different LiDAR point clouds of a 1 m × 10 m gravel plot to derive and analyze the roughness spectra from the interpolated DTMs. The LiDAR point clouds were acquired using terrestrial laser scanning (TLS), and laser scanning from both an unmanned aerial vehicle (ULS) and an airplane (ALS). The corresponding roughness spectra are derived first as ensemble averaged periodograms and then the spectral differences are analyzed with a dB threshold that is based on the 95% confidence intervals of the periodograms. The aim is to determine scales (spatial wavelengths) over which the analyzed spectra can be used interchangeably. The results show that one TLS scan can measure the roughness spectra for wavelengths larger than 1 cm (i.e., two times its footprint size) and up to 10 m, with spectral differences less than 0.65 dB. For the same dB threshold, the ULS and TLS spectra can be used interchangeably for wavelengths larger than about 1.2 dm (i.e., five times the ULS footprint size). However, the interpolation parameters should be optimized to make the ULS spectrum more accurate at wavelengths smaller than 1 m. The plot size was, however, too small to draw particular conclusions about ALS spectra. These results show that novel ULS data has a high potential to replace TLS for roughness spectrum calculation in many applications.
Finding Rumor Sources on Random Trees

We consider the problem of detecting the source of a rumor which has spread in a network using only observations about which set of nodes are infected with the rumor and with no information as to when these nodes became infected. In a recent work (Shah and Zaman 2010), this rumor source detection problem was introduced and studied. The authors proposed the graph score function rumor centrality as an estimator for detecting the source. They establish it to be the maximum likelihood estimator with respect to the popular Susceptible Infected (SI) model with exponential spreading times for regular trees. They showed that as the size of the infected graph increases, for a path graph (2-regular tree), the probability of source detection goes to 0 and for d-regular trees with d ≥ 3 the probability of detection, say αd, remains bounded away from 0 and is less than 1/2. However, their results stop short of providing insights for the performance of the rumor centrality estimator in more general settings such as irr.
Genetic analysis of the humoral immune response of White Leghorn chicks.

Total agglutinin antibody titers, 2-mercapto ethanol (2-ME) sensitive and 2-ME resistant antibody titers were determined in 598 White Leghorn chicks after intramuscular injection with sheep red blood cells. Antibody titers were determined on day 0 and on days 3, 7, 10, 13 postinjection. Mean total tier (5.2, log2 value) was highest on day 7. Females showed a significantly higher response to injection with sheep red blood cells than males. Also, significant hatch effects were noted. Heritability estimates generally varied from 0 to . 5 for all parameters. In the earlier stages of the immune response the sire estimate of heritability for total and 2-ME sensitive antibody titer was higher than the dam estimate. Additive genetic correlations between 2-ME sensitive (days 3 to 13) and resistant (days 7 to 13) antibody titers were negative, varying from -. 30 to -. 93. The response to selection for total antibody titer is, therefore, not easily predicted.
Heavy tails GENERAL INVERSE PROBLEMS FOR REGULAR VARIATION

Regular variation of distributional tails is known to be preserved by various linear transformations of some random structures. An inverse problem for regular variation aims at understanding whether the regular variation of a transformed random object is caused by regular variation of components of the original random structure. In this paper we build on previous work, and derive results in the multivariate case and in situations where regular variation is not restricted to one particular direction or quadrant.