Miracle-dz/UniFAR-FTUs huggingface dataset:
Tolerance of different dairy products in subjects with symptomatic lactose malabsorption due to adult type hypolactasia

Introduction: A large portion of the world’s population undergoes a genetically programmed decrease in lactase synthesis and may experience symptoms of lactose intolerance (LI) after dairy consumption. Aim: The aim of the present study was to assess the effect of the same dose of lactose consumed by LI subjects in the form of different dairy products. Material and methods: Fifteen healthy young adults with LI were enrolled in the study. All subjects were symptomatic homozygotes –13910 C/C in the lactase promoter gene. The hydrogen-methane breath test was performed in each subject after a load of 400 ml of milk, kefir and yogurt. Clinical symptoms were assessed within the 12 h after each product consumption. Results: The excretion of gases was lower after ingestion of kefir and yogurt in comparison to milk. All examined subjects reported symptoms. After milk consumption, abdominal pain and intestinal rumbling were perceived as more severe. The number of stools was higher and their consistency was more liquid. Conclusions: Young adults with LI are not able to tolerate the typical dose of different dairy products as assessed by subjective and objective measures. The tolerance of kefir and yogurt is significantly better than that of milk. Streszczenie Wstep: U znacznej cześci ludności świata produkcja laktazy podlega genetycznie zaprogramowanej redukcji, co moze prowadzic do wystepowania objawow klinicznych nietolerancji laktozy (NL) po spozyciu produktow mlecznych. Cel: Ocena wplywu spozycia takiej samej dawki laktozy przez osoby z NL, podawanej w postaci roznych produktow mlecznych. Material i metody: Badaniem objeto 15 mlodych doroslych z objawową NL. Wszyscy badani byli homozygotami –13910 C/C w zakresie genu promotorowego dla laktazy. U kazdej osoby wykonano wodorowo-metanowy test oddechowy po obciązeniu 400 ml mleka, kefiru i jogurtu. Objawy kliniczne oceniano przez 12 godz. po spozyciu kazdego produktu. Wyniki: Wydalanie gazow bylo mniejsze po spozyciu kefiru i jogurtu niz mleka. Wszyscy badani zglaszali objawy kliniczne. Po spozyciu mleka bole brzucha i przelewania byly bardziej nasilone, stwierdzono wiekszą liczbe stolcow, a ich konsystencja byla bardziej plynna. Wnioski: Mlodzi dorośli z NL nie tolerują typowych porcji produktow mlecznych, co potwierdzono w ocenie subiektywnej i obiektywnej. Tolerancja kefiru i jogurtu jest znacząco lepsza niz mleka.
Possible Benefits of the Coriandrum sativumin the Management of Diabetes in AnimalModel: A Systematic Review

Diabetes mellitus (DM) is a group of a metabolic disease characterized by chronic hyperglycemia and disturbances of carbohydrate, lipid, and protein metabolism, resulting from defects in insulin secretion, or action or both. DM caused at least 12% of global health expenditure is spent on diabetes ($ USD 673 billion). The control of diabetes with fewer side effects is a challenge. Authors have reported that herbal medicine would be an alternative to manage DM. Coriandrum sativum (Coriander) is a plant that has been used in the management of the diabetes. The purpose of this study was to review the published research concerning the use of coriander in the treatment of DM in animal models using a database. The papers were searched in the PubMed. It was verified a strong interest in studies involving diabetes. It is also observed that about 6.92% of the articles with the keyword “Coriandrum sativum” are related to diabetes. Five studies have reached the inclusion criteria to be analyzed. In all these investigations a reduction of the plasma level of glucose was detected in the animals treated with coriander. In conclusion, putting together the findings described in this study and considering the results in the publications, it is possible to conclude and to suggest that the use of coriander could be suitable to try to decrease plasma glucose level of diabetic animals. However, it is important to consider the limited number of publications available in the PubMed involving searches evaluating the antidiabetic effect of coriander
Household Income Based on a Broad View of Production

This paper considers the real value of unpaid work. Actual living satisfaction depends not only on market income measured using the current concept of GDP, but also on unpaid household production. We try to estimate broad household income in Japan based on 2011 government estimates. We assume three household life stages, each of which consists of three cases categorized by the spouse’s type of work. The results show that income differences between the three cases were very small and women worked longer hours than men in all household life stages. This reveals a different possible view of income distribution and poverty, in which women are overburdened.
New formulation of iterative substructuring methods without Lagrange multipliers: Neumann–Neumann and FETI

This article is devoted to introduce a new approach to iterative substructuring methods that, without recourse to Lagrange multipliers, yields positive definite preconditioned formulations of the Neumann–Neumann and FETI types. To my knowledge, this is the first time that such formulations have been made without resource to Lagrange multipliers. A numerical advantage that is concomitant to such multipliers‐free formulations is the reduction of the degrees of freedom associated with the Lagrange multipliers. Other attractive features are their generality, directness, and simplicity. The general framework of the new approach is rather simple and stems directly from the discretization procedures that are applied; in it, the differential operators act on discontinuous piecewise‐defined functions. Then, the Lagrange multipliers are not required because in such an environment the functions‐discontinuities are not an anomaly that need to be corrected. The resulting algorithms and equations‐systems are also derived with considerable detail. © 2007 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2008
Coherent Multi-Channel Ranging for Narrowband LPWAN: Simulation and Experimentation Results

Precise radio based positioning for low power wide area networks remains a challenging research area due to narrowband signals and multipath propagation. Multi-channel ranging provides improved temporal resolution by coherent processing. While this technique has been applied to short range radio standards, no experimental demonstration for long range radio devices exists. The present paper introduces a hardware testbed for phase coherent multi-channel processing of narrowband signals. Simulations and preliminary experimental multi-channel results show a higher ranging precision (factor 20) over time based ranging. In a frequency flat channel with a 10 kHz signal, precisions down to 10 m (phase based) and 200 m (time based) have been achieved. Precision degrades in multipath propagation scenarios.
Evaluation of seedling growth in fragrant rice (Oryza sativa) germplasms under salinity stress

Fragrant rice is said to be associated with poor agronomic traits and low tolerability to salt stress. This study was conducted to examine the relationship between fragrant intensity of Sri Lankan rice germplasms and their seedling growth under salt stress. It is reported that functional badh2 homologue is associated with more salt tolerance than the nonfunctional fragrant alleles. Fifteen accessions that exhibited different levels of fragrance were selected and they were categorized into four fragrant intensity groups. Rice seedlings were grown under three salinity levels, 0.73 dSm -1 (control), 4 dSm -1 and 8 dSm -1 and their survival percentage, root length and shoot length were measured. A novel formula of Survival Index (SI) was derived from survival percentages and analysis of variance revealed that survival index under salinity stress was significantly associated with the fragrant intensity groups of rice. As the fragrant intensity increases, SI, root length and shoot length decreases. A fragrant accession that was exceptionally salt tolerant was also disclosed. Most of the Sri Lankan fragrant rice germplasms do not possess the predominant badh2.1 fragrant allele but appeared containing a rare allele of badh2.7. These findings would be useful in rice improvement breeding programs designed for fragrance and salt tolerance.
Multi-service Digital Radio over Fibre System with Millimetre Wave Bridging

This paper demonstrates a novel digital radio over fibre (DRoF) architecture that is able to transport multiple compressed digitised RF services using both optical fibre and wireless millimetre wave (mmW) links. This solution has advantages as a cost effective indoor wireless infrastructure where flexible transmission schemes are required. Experimental results indicate wide RF dynamic range for two LTE services transmitted simultaneously, showing its capability for creating a neutral-host radio access network (RAN) with good spectral efficiency and cost effectiveness.
Global-Searching-Based Iterative Swapping Antenna Selection for Massive MIMO Systems with Imperfect Channel Estimation

With the growing of base station antenna number in massive multiple-input-multiple-output (MIMO), the complexity and the cost of the system rise rapidly. Fortunately, the antenna selection is an effective way to solve the problem, which can capture most of the advantages of massive MIMO. In this paper, a novel global-searching-based iterative swapping antenna selection method is proposed under the partial channel knowledge case for massive MIMO based on capacity maximization. The method is investigated with detailed mathematical derivations, as well as convergence discussion. Both global-searching-based “local” swapping (GSL-swapping) and global-searching-based “global” swapping algorithms are proposed for massive MIMO with imperfect channel state information (CSI). The former exchanges the selected antenna with the unselected one which is “better” than the selected one. Different from the GSL-swapping algorithm, the latter only swaps the “worst” selected antenna with the “best” unselected antenna which is “better” than the “worst” selected one. In addition, an improved global-searching-based “global” swapping algorithm with imperfect CSI is proposed to further decrease the complexity. Due to the “global searching” characteristic, the proposed algorithms can obtain a near optimal performance. Numerical simulations are provided to validate the proposed algorithms.
UEFI on Top of U-Boot Standardizing Boot Flow For ARM Boards

Booting is hard. Booting in the ARM world is even harder. State of the art are a dozen different boot loaders that may or may not deserve that name. Each gets configured differently and each has its own pros and cons. For a Linux distribution this is a nightmare. Configuring each and every one of them complicates code that really should be very simple. To solve the problem, one can just add another layer of abstraction (GRUB2) on top of another layer of abstraction (UEFI) on top of another layer of abstraction (U-Boot). Learn how all those layers can make life easier for the distribution and how much fun UEFI really is. Read how ARM systems boot, what UEFI really means, how UEFI binaries interact with firmware, how openSUSE is going to move to UEFI based boot on ARM and how UEFI enables convergence of the Enterprise and Embedded markets. Keywords—UEFI; U-Boot; GRUB; Linux; openSUSE; ARM; ARMv8; AArch64
Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults

Atherosclerosis leading to cardiovascular disease is an important public health concern. Autopsy studies carried out on teenage adults during the Korean and Vietnam wars have demonstrated that atheroma is present in this age group but how soon do atherosclerotic changes start and what influences their development? Bogalusa is a town in Louisiana, USA, and the Bogalusa Heart Study is a long-term epidemiological study of cardiovascular risk factors from birth to the age of 38 years. Seven cross-sectional studies, each of 3 500 children, have been performed since 1973. Five follow-up studies of volunteers from these cross-sectional studies have also been done, with approximately 14 000 volunteer participants in total. Height, weight, blood pressure, serum lipid profile and cigarette-smoking status have been recorded at each assessment. Autopsies have been carried out on volunteers who died most deaths were caused by accident or homicide to allow inspection of aortas and coronary arteries for the presence and extent of fatty streaks and fibrous plaques. Rather alarmingly, fatty streaks were almost universal irrespective of age whilst fibrous plaques increased in prevalence from about 5% at 2-15 years to about 60% at 26-39 years. The proportion of arterial intima having fatty streaks and plaques was found to be increased in the presence of risk factors such as raised serum lipids. For example, an average of 0.5% of intimal surface was affected by plaque formation in the absence of risk factors but this increased to 7.5% in the presence of three or more risk factors. A strong public health campaign aimed at the young has been advocated, recommending immediate action in favour of a suitable diet and against cigarette smoking. Bon appetit'l
Cross-cultural Differences in Interpreting IAS 37 Probability Phrases

The adoption of IFRS throughout much of the world means that accountants from different cultures will be interpreting the same set of different standards through different cultural lenses. IAS 37 relies on some particularly nebulous terminology. i.e., probable, more likely than not, and remote, that are difficult to interpret even within a culture. Building on prior research, this study explores whether accountants in different cultures interpret verbal probability phrases differently. We compare the ability of US accounting students to interpret the verbal probability of these terms to that of Russian accounting students and find these two groups differ in translating verbal phrases into numeric values but are quite consistent in their application of the accrual or disclosure decision criteria.
Identifiability of physical parameters in systems with limited sensors

In this paper, a method for estimating physical parameters using limited sensors is investigated. As a case study, measurements from an IMU are used for estimating the change in mass and the change in center of mass of a ship. The roll motion is studied and an instrumental variable method estimating the parameters of a transfer function from the tangential acceleration to the angular velocity is presented. It is shown that only a subset of the unknown parameters are identifiable simultaneously. A multi-stage identification approach is presented as a remedy for this. A limited simulation study is also presented to show the properties of the estimator. This shows that the method is indeed promising but that more work is needed to reduce the variance of the estimator.
INVESTIGATION OF STRUCTURE AND TRANSPORT PROPERTIES OF GRAPHENE GROWN BY LOW-PRESSURE NO FLOW CVD ON POLYCRYSTALLINE Ni FILMS

O. V. Kononenko1∗, V. N. Matveev, D. P. Field, D. V. Matveev, S. I. Bozhko, D. V. Roshchupkin, E. E. Vdovin. A. N. Baranov Institute of Microelectronics Technology and High Purity Materials, Russian Academy of Sciences, Chernogolovka, Russia School of Mechanical and Materials Engineering, Washington State University, Pullman, WA Institute of Solid State Physics, Russian Academy of Sciences, Chernogolovka, Russia Moscow State University, Moscow, Russia ∗oleg@iptm.ru
Cryptography for Security in IoT

The Internet of Thing (IoT) has rapidly emerged as the manifesto of the Linked Society, where everything that benefits from a connection is connected. The IoT consists of multiple ecosystems, with different requirements and capabilities. There are few in the community who can escape IoT impact. As IoT environments are capturing the market, security in IoT has reached the top on the security agenda. This paper presents a comprehensive survey of the Cryptography research relating to security in IoT. The security enhancements derived from cryptography research to answer the security challenges introduced by the IoT environments are discussed. By categorising the cryptography research, a set of conclusion and proposals for future research directions are presented.
Convolutional Neural Networks Without Any Checkerboard Artifacts

It is well-known that a number of convolutional neural networks (CNNs) generate checkerboard artifacts in both of two processes: forward-propagation of upsampling layers and backpropagation of convolutional layers. A condition to avoid the checkerboard artifacts is proposed in this paper. So far, checkerboard artifacts have been mainly studied for linear multirate systems, but the condition to avoid checkerboard artifacts can not be applied to CNNs due to the non-linearity of CNNs. We extend the avoiding condition for CNNs, and apply the proposed structure to some typical CNNs to confirm the effectiveness of the new scheme. Experiment results demonstrate that the proposed structure can perfectly avoid to generate checkerboard artifacts, while keeping excellent properties that the CNNs have.
Audits or Distortions: The Optimal Scheme to Enforce Self‐Employment Income Taxes

I investigate the optimal auditing scheme for a revenue-maximizing tax-collection agency that observes not only reported pro ts, but also the level of employment at each firm. Each firm is owned by a single entrepreneur whose managerial ability is random. The optimal auditing scheme is discontinuous and non-monotone in ability. In intermediate audit costs, less-productive entrepreneurs face auditing probabilities that increase in ability, whereas the ablest ones are not audited. Finally, the effecive tax rate is higher in the middle of the managerial ability distribution; thus, the overall regressive (or progressive) bias that arises from evasion is unknown.
Test Data Generation for Event Driven System Using Bees Algorithm

For an event driven system, the order of the event sequence should also be tested to detect failure in any possible sequences of the event. In many real time or reactive system, some faults do occur as a result interactions of some particular order of the inputs or events. In some other systems, sequence of inputs produce significant results to how such system process the inputs and produce the output. For these types of systems, fault might be triggered from a particular order of the input sequence, entered or given to the system. In this paper we discuss and proposed a new strategy for generating test data for event-driven system using a bio inspired artificial intelligent, namely Bees Algorithm (BA). We discussed the implementation of BA and benchmark it with the existing approaches.
Symmetry of numerical range and semigroup generation of infinite dimensional Hamiltonian operators

This paper deals with the infinite dimensional Hamiltonian operator with unbounded entries. Using the core of its entries, we obtain the conditions under which the numerical range of such an operator is symmetric with respect to the imaginary axis. Based on the symmetry above, a necessary and sufficient condition for generating $C_0$ semigroups is further given.
Using Live Reggae Instrumental Acoustic Music to Influence Students' Mathematics Test Scores

In this study, one group of university introductory precalculus and calculus students (n=61) displayed differing levels of mathematics competency. These students participated in a mathematics workshop with background music for duration of 180 minutes. The mathematics performance (i.e., standard mathematics exam results) of the students was measured. Their pre- and posttest mathematics scores were examined. The correlation between the mathematics pretest and the mathematics posttest was found to be statistically significant. In addition, the mean differences from the paired samples t-test were statistically significant, favoring the posttest scores. The implications for positive social change include informing local teachers, parents, policy makers, and students an innovative approach to impact students’ mathematics scores positively. As a result, it is hoped that international students’ performances will be increased and greater mathematics achievement realized.
Online Autotuning Technique of Switching Frequency for Resonant Converter Considering Resonant Components Tolerance and Variation

A simple online autotuning technique for a resonant converter to achieve output voltage regulation while tuning the switching frequency to the resonant frequency is proposed in this paper. The proposed method can deal with resonant frequency variation caused by the resonant components: tolerance and variation. The proposed technique is developed by detecting the zero-crossing point and peak point of resonant current. Moreover, the correction term of dc bus voltage reference is generated based upon the error between switching period (frequency) and resonant period (frequency). The voltage reference of power factor corrector output voltage is, thus, tuned to achieve both switching frequency tracking and output voltage regulation of resonant converter. The proposed method is simple and no knowledge of resonant frequency is required in prior. The proposed method is realized in software using DSP. Test results derived from a digital-controlled server power show that switching frequency can track the resonant frequency well even with large variation of resonant components. These measured results fully support the effectiveness of the proposed technique.
Linguistics and race: An interdisciplinary approach towards an LSA statement on race

In order to work towards greater racial justice within linguistics, the challenge remains for linguists to develop a cohesive theory of and approach to race and racial analysis in linguistics that is influenced by researchers of different methodological approaches and racial backgrounds. A formal LSA statement on race will provide linguistic researchers with a framework for studying race and will also serve as a method of intellectual and social inclusion in linguistics. We draw on interdisciplinary expertise in related fields, including psychology, sociology, anthropology, education, and ethnic studies, to examine how scholars from >neighboring disciplines have formally conceptualized and dealt with race and racial classification strategies. Points of convergence as well as divergence are articulated, drawing insights that may advance work related to race within and beyond linguistics.
Deciphering the complexities of neurodegeneration and neuroinflammation with NanoString® gene expression profiling

of the Neuropathology in both basic and disease-specific investigations. We irrespective of PMI and in FF, FFPE, and peripheral blood samples on the nCounter platform. Investigations on AD and PD mouse models and human samples demonstrated the applicability of the panel content and nSolver Advanced Analysis to these conditions. Results were consistent with previous observations highlighting key alterations in cellular composition and neuronal function associated with the disease state and disease progression. Additionally, we demonstrated the potential for biomarker discovery with gene expression profiling of samples across neurodegenerative diseases and disease states. The Neuropathology and Neuroinflammation Panels provide robust and reproducible results that help untangle the complex biology of neurological disorders.