Miracle-dz/UniFAR-FTUs huggingface dataset:
Bacterial homologs of eukaryotic membrane proteins: the 2-TM-GxN family of Mg2+ transporters (Review)

Magnesium is essential for all forms of life. It is the cofactor for many enzymes and plays a key role in many biological processes. Thus, the acquisition of Mg2+ is crucial for cell survival. The best characterized Mg2+ transporters to date belong to the 2-TM-GxN type family of transporters. The name indicates the two C-terminal transmembrane (TM) domains and a conserved GxN motif present in all members of this family towards the C-terminal end of TM1. In most members of the family, this conserved motif is generally YGMNF. The prototypical member of this family is CorA. Other characterized members of this family include Mrs2p, Alr, Mnr, AtMGT and ZntB. CorA is widely distributed throughout the prokaryotic world. It is the primary Mg2+ uptake system in most bacteria and many Archaea. A homolog, Mrs2p, is a eukaryotic mitochondrial Mg2+ channel. The Mrs2p related AtMGT transporters are found in plants and other eukaryotes. Alr1p and Mnr are Mg2+ transporters found in the plasma membrane of many fungi. ZntB is a bacterial member of the 2-TM-GxN family but mediates efflux of Zn2+ instead of influx of Mg2+. The recent crystal structure of a bacterial CorA shows that the structure of this family is unlike that of any other class of transporter or channel currently known.
Comparative evaluation of time-of-flight depth-imaging sensors for mapping and SLAM applications

Autonomous robotic systems rely on simultaneous localisation and mapping (SLAM) algorithms that use ranging or other sensory data as input. Numerous algorithms have been developed and demonstrated, many of which utilise data from high-precision ranging instruments. Small unmanned aircraft systems (UAS) have significant restrictions on the weight of sensors they can carry, and light-weight ranging sensors tend to be subject to more error than their larger counterparts. The effect of these errors on SLAM effectiveness will depend on the algorithm in use. Our current work is focussed on evaluating different combinations of sensor and algorithm. This paper presents an evaluation of the performance of three SLAM algorithms that are freely available in the Robot Operating System (ROS), in conjunction with ranging data from two different time-of-flight imaging cameras: a commercially available Mesa Imaging sensor and a prototype sensor based on single-photon avalanche diode (SPAD) technology. Based on the results of this data collection, a difference with respect to the ability of the SLAM algorithms to handle noisy odometry data can be seen. GMapping is able to generate maps consistently when compared with KartoSLAM and Hector Mapping algorithms. However, KartoSLAM was able to create maps that represented the ground truth more accurately.
Design of Function for Tracing Diffusion of Classified Information for IPC on KVM

The leaking of information has increased in recent years. To address this problem, we previously proposed a function for tracing the diffusion of classified information in a guest OS using a virtual machine monitor (VMM). This function makes it possible to grasp the location of classified information and detect information leakage without modifying the source codes of the guest OS. The diffusion of classified information is caused by a file operation, child process creation, and inter-process communication (IPC). In a previous study, we implemented the proposed function for a file operation and child process creation excluding IPC using a kernel-based virtual machine (KVM). In this paper, we describe the design of the proposed function for IPC on a KVM without modifying the guest OS. The proposed function traces the local and remote IPCs inside the guest OS from the outside so as to trace the information diffusion. Because IPC with an outside computer might cause information leakage, tracing the IPCs enables the detection of such a leakage. We also report the evaluation results including the traceability and performance of the proposed function.
An exploratory qualitative study examining the social and psychological processes involved in regular dental attendance.

OBJECTIVE This study aimed to provide a description of the psychosocial process involved in regular dental attendance. METHODS The study design was a qualitative cross-sectional study using unstructured and semistructured interviews and observations of regular dental visits. The study participants included 12 men and 18 women attending general dental practices and six men and four women attending an emergency dental service. The data were systematically recorded and subjected to line-by-line grounded theory coding around the main concerns of those attending the dentist. RESULTS The main concern of those attending for a regular dental visit was checking their oral health. The six-month recall was conceptualized as a checking cycle in six phases: recalling, responding, inducing (i), waiting, inducing (ii), and telling. The possible outcomes of the cycle were maintaining oral health, sustaining oral health, and a further checking cycle. Variations in checking cycles resulted from reordering and normalizing pressures within participants' lifestyles. CONCLUSIONS The findings of this study suggest that people's patterns of dental attendance are similar to those of other chronic illnesses. An understanding of the dynamic psychosocial processes involved in frequent dental attendance may be achieved when further research into this phenomenon is conducted.
Protective effect of proanthocyanidins against doxorubicin‐induced nephrotoxicity in rats

Doxorubicin (DOX) exerts toxic effects in several organs particularly kidney. The present study aimed to assess the protective effect of proanthocyanidins (PAs) against DOX‐induced nephrotoxicity in rats. A single dose of DOX (7.5 mg/kg, i.v.) significantly increased kidney weight, kidney/body weight ratio, serum urea, creatinine, tumor necrosis factor alpha levels, and kidney contents of malondialdehyde, nitric oxide, cyclooxygenase‐2, and caspase‐3 activity with significant reduction in final body weight, serum albumin, kidney contents of reduced glutathione (GSH), and superoxide dismutase activity as compared with control group. In contrast, pretreatment with PAs (200 mg/kg, p.o.) for 14 days before DOX and for 7 days after DOX ameliorated kidney function and oxidative stress parameters. Histopathological evidence confirmed the protective effects of PAs from the tissue damage induced by DOX. In conclusion, PAs have a multi‐nephroprotective effect that might be attributed to its antioxidant, anti‐inflammatory, and antiapoptoic activities.
Commercial Smartphone-Based Devices and Smart Applications for Personalized Healthcare Monitoring and Management

Smartphone-based devices and applications (SBDAs) with cost effectiveness and remote sensing are the most promising and effective means of delivering mobile healthcare (mHealthcare). Several SBDAs have been commercialized for the personalized monitoring and/or management of basic physiological parameters, such as blood pressure, weight, body analysis, pulse rate, electrocardiograph, blood glucose, blood glucose saturation, sleeping and physical activity. With advances in Bluetooth technology, software, cloud computing and remote sensing, SBDAs provide real-time on-site analysis and telemedicine opportunities in remote areas. This scenario is of utmost importance for developing countries, where the number of smartphone users is about 70% of 6.8 billion cell phone subscribers worldwide with limited access to basic healthcare service. The technology platform facilitates patient-doctor communication and the patients to effectively manage and keep track of their medical conditions. Besides tremendous healthcare cost savings, SBDAs are very critical for the monitoring and effective management of emerging epidemics and food contamination outbreaks. The next decade will witness pioneering advances and increasing applications of SBDAs in this exponentially growing field of mHealthcare. This article provides a critical review of commercial SBDAs that are being widely used for personalized healthcare monitoring and management.
Hydrophobicity and adherence of oral streptococci after repeated subculture in vitro

Fresh isolates of Streptococcus mutans, Streptococcus sanguis, and Streptococcus salivarius from human dental plaque were all highly hydrophobic. After repeated subculture in vitro on blood agar, strains of S. mutans serotype c showed decreased hydrophobicity, whereas serotype d/g strains did not. Parallel to the decreased hydrophobicity in the serotype c strains, an impaired ability to adhere to hydroxyapatite was observed. A similar but less pronounced decrease in hydrophobicity in one S. sanguis strain resulted in a marked decrease in adherence to hydroxyapatite.
Load Forecast Bibliography Phase I

The subject of load forecasting is very broad in nature and includes many detailed engineering considerations and economic analyses. Because the subject is so important, the Load Forecasting Working Group has undertaken the task of compiling an updated bibliography. Since the subject of load forecasting is so broad, the bibliography is divided into three phases that complement each other. This report summarizes Phase I of the Load Forecasting Bibliography.
Quality labeled faces in the wild (QLFW): a database for studying face recognition in real-world environments

The varying quality of face images is an important challenge that limits the eﬀectiveness of face recognition technology when applied in real-world applications. Existing face image databases do not consider the eﬀect of distortions that commonly occur in real-world environments. This database (QLFW) represents an initial attempt to provide a set of labeled face images spanning the wide range of quality, from no perceived impairment to strong perceived impairment for face detection and face recognition applications. Types of impairment include JPEG2000 compression, JPEG compression, additive white noise, Gaussian blur and contrast change. Subjective experiments are conducted to assess the perceived visual quality of faces under diﬀerent levels and types of distortions and also to assess the human recognition performance under the considered distortions. One goal of this work is to enable automated performance evaluation of face recognition technologies in the presence of diﬀerent types and levels of visual distortions. This will consequently enable the development of face recognition systems that can operate reliably on real-world visual content in the presence of real-world visual distortions. Another goal is to enable the development and assessment of visual quality metrics for face images and for face detection and recognition applications.
A new-generation automated warehousing capability

A novel and highly adaptable concept is presented whereby automated warehouses can be built based on a series of simple modules with their inherent feature of scalability and reconfigurability. A potential application example of such a warehousing system is modelled to indicate the level of capability that the concept can provide. Physical infrastructure and operational control events within the system are illustrated in the paper. Simulation results demonstrate that this type of automated warehousing system can simultaneously deliver large numbers of items from storage modules to assigned collection locations with minimal delay. The concept is readily applicable within the wider logistics sector. The system performance can be enhanced by deploying an integrated warehouse control and management mechanism using automatic identification and data capture techniques and wireless communication networks. A framework on application of these emerging technologies in order to achieve the desired coordinated functionality of automated warehouse operations is proposed in the paper.
A novel method for clustering using k-means and Apriori algorithm

In today's world there is rapid development in every field which contains bulk of data and different types of data. In order to distinguish sample data from the other data mining techniques are used in combination with many useful algorithms. Android development is one the major area where there is an immense needs to implement these algorithms. Combining frequent patterns algorithms with clustering is very effective for android. In this paper the work is done in two levels, initial stage focuses on implementing the k-means clustering algorithm and final stage calculate the frequent pattern in the clusters.
Effect of cylindrical cavity enclosure on resonance frequency of annular ring microstrip antenna

The effect of cylindrical metallic enclosure on the resonant frequency of a suspended annular ring microstrip antenna (ARMSA) is investigated using HFSS simulation software and theoretically calculated using modal expansion cavity model and circuit theory concept. Theoretical result shows close agreement with simulated results. Variation in resonant frequency with air gap height and inner patch radius is also studied. The patch miniaturization of about 15% is achieved using cavity backed ARMSA.
Effect of Orange Juice on Bioavailability of Levofloxacin

Objective: This work was designed to observe the effect of orange juice on the bioavailability of levofloxacin in healthy Bangladeshi volunteers. Methods: A randomized 2-way crossover design was used with a washout period of 2 weeks. The volunteers ingested either 200 mL of orange juice or water 3 times a day for the first 3 days and 2 times a day on the fourth day. On the morning of Day 3, each subject was given a 250-mg levofloxacin tablet under fasting condition with 200 mL of orange juice or water. Thirteen blood samples were collected from each volunteer over a 24-hour period. Serum levofloxacin concentrations were determined by high performance liquid chromatography using UV detection, and pharmacokinetic parameters were determined by the non-compartmental method. Results: The mean value of the peak plasma concentration (Cmax) of lev-
Single-Cell Genomic Analysis in Plants

Individual cells in an organism are variable, which strongly impacts cellular processes. Advances in sequencing technologies have enabled single-cell genomic analysis to become widespread, addressing shortcomings of analyses conducted on populations of bulk cells. While the field of single-cell plant genomics is in its infancy, there is great potential to gain insights into cell lineage and functional cell types to help understand complex cellular interactions in plants. In this review, we discuss current approaches for single-cell plant genomic analysis, with a focus on single-cell isolation, DNA amplification, next-generation sequencing, and bioinformatics analysis. We outline the technical challenges of analysing material from a single plant cell, and then examine applications of single-cell genomics and the integration of this approach with genome editing. Finally, we indicate future directions we expect in the rapidly developing field of plant single-cell genomic analysis.
BMP 7 controls collecting tubule cell proliferation and apoptosis via Smad 1-dependent and-independent pathways

Piscione, Tino D. , Tien Phan, and Norman D. Rosenblum. BMP7 controls collecting tubule cell proliferation and apoptosis via Smad1-dependent and -independent pathways. Am J Physiol Renal Physiol 280: F19–F33, 2001. —Bone morphogenetic protein-7 (BMP7) controls ureteric bud and collecting duct morphogenesis in a dose-dependent manner (Piscione TD, Yager TD, Gupta IR, Grinfeld B, Pei Y, Attisono L, Wrana JL, and Rosenblum ND. Am J Physiol Renal Physiol 273: F961–F975, 1997). We defined cellular and molecular mechanisms underlying these effects in embryonic kidney explants and in the mIMCD-3 cell model of collecting tubule morphogenesis. Low-dose (0.25 nM) BMP7 significantly increased tubule number and cell proliferation. Similar to BMP2, high-dose (10 nM) BMP7 inhibited cell proliferation and stimulated apoptosis. To define molecular mechanisms, we identified signaling events downstream of BMP7. Highdose BMP7, but not low-dose BMP7, activated Smad1 in mIMCD-3 cells. Moreover, the inhibitory effects of high-dose BMP7 and BMP2, but not the stimulatory effects of low-dose BMP7, on tubulogenesis and cell proliferation were significantly reduced in mIMCD-3 cells stably expressing Smad1(D458), a dominant negative mutant form of Smad1, but not in cells stably expressing wild-type Smad1. We conclude that BMP7 exerts dose-dependent effects on ureteric bud or collecting duct cell proliferation and apoptosis by signaling via Smad1dependent and Smad1-independent pathways.
Measurement-Device-Independent Quantum Cryptography

In theory, quantum key distribution (QKD) provides information-theoretic security based on the laws of physics. Owing to the imperfections of real-life implementations, however, there is a big gap between the theory and practice of QKD, which has been recently exploited by several quantum hacking activities. To fill this gap, a novel approach, called measurement-device-independent QKD (mdiQKD), has been proposed. It can remove all side-channels from the measurement unit, arguably the most vulnerable part in QKD systems, thus offering a clear avenue toward secure QKD realisations. Here, we review the latest developments in the framework of mdiQKD, together with its assumptions, strengths, and weaknesses.
Economic Status and Social Attitudes of Migrant Workers in China

Migrant workers, meaning those who used to be farmers but have left rural areas and found jobs in cities as a result of economic reform and rapid development in China, have made a significant contribution to the burgeoning labor market and played an important role in speeding up the transition from a planned to a market economy. This present paper considers the economic status and social attitudes of migrant workers. It is based on the analysis of a large-scale survey in 2006, which was conducted using questionnaires and covered 28 provinces, municipalities and autonomous regions throughout the country. It was found that the income status of migrant workers depends heavily on the education and technical skills that they have developed, rather than on identity-based discrimination. Surprisingly, it was also found that those on less income and of lower economic and social status show more positive attitudes to society than those who are affluent and considered of higher social status. It is concluded that the decisive factor in attitude and behavior of migrant workers is historic rather than economic.
Isoform-Specific Regulation of the CCAAT/Enhancer-Binding Protein Family of Transcription Factors by 3',5'-Cyclic Adenosine Monophosphate in Sertoli Cells.

The C/EBP (CCAAT/enhancer-binding protein) family of transcription factors is important for differentiation, lipid biosynthesis, and metabolism. Here, we demonstrate for the first time the presence of C/EBP α, β, δ, and ζ messenger RNA (mRNA) and protein in Sertoli cell primary cultures. Treatment with FSH or 8-CPTcAMP strongly induced C/EBP β mRNA above basal levels with rapid and transient kinetics in Sertoli cell primary cultures as well as in whole testes from hypophysectomized rats. Whereas C/EBP β mRNA was induced approximately 50-fold, C/EBP δ mRNA was induced 5- to 8-fold by cAMP in Sertoli cells. Messenger RNA for C/EBP β and δ were induced by inhibition of protein synthesis with cycloheximide and cycloheximide acted synergistically with cAMP. Immunoblots with C/EBP antibodies demonstrated a strong induction of C/EBP β, δ, and ζ by cAMP. Electrophoretic mobility shift analysis of nuclear proteins from cAMP-treated Sertoli cells using a C/EBP consensus oligonucleotide and antibodies revealed speci.
On the Limits of Learning Representations with Label-Based Supervision

Advances in neural network based classifiers have transformed automatic feature learning from a pipe dream of stronger AI to a routine and expected property of practical systems. Since the emergence of AlexNet every winning submission of the ImageNet challenge has employed end-to-end representation learning, and due to the utility of good representations for transfer learning, representation learning has become as an important and distinct task from supervised learning. At present, this distinction is inconsequential, as supervised methods are state-of-the-art in learning transferable representations. But recent work has shown that generative models can also be powerful agents of representation learning. Will the representations learned from these generative methods ever rival the quality of those from their supervised competitors? In this work, we argue in the affirmative, that from an information theoretic perspective, generative models have greater potential for representation learning. Based on several experimentally validated assumptions, we show that supervised learning is upper bounded in its capacity for representation learning in ways that certain generative models, such as Generative Adversarial Networks (GANs) are not. We hope that our analysis will provide a rigorous motivation for further exploration of generative representation learning.
LTCC-Integrated $H$ -Plane Bends for THz Antenna-in-Package Solution

We present a compact terahertz antenna-in-package solution using a substrate integrated waveguide (SIW), which connects an integrated circuit (IC) to an SIW antenna. To suppress the leakage of electromagnetic waves due to bending a low-temperature cofired ceramic (LTCC) substrate, an H-plane bend SIW in the LTCC was investigated using the E-plane split-block technology. We introduced an IC with a CPW-to-waveguide transition into the hollow SIW. The insertion loss, estimated by measuring a back-to-back transition with the H-plane-bend SIW, is 1.6 dB at 300 GHz, and 49-GHz bandwidth with less than 10-dB return loss is achieved.
The Definite Form of the Coxa Plana

First a few words must be said about the name coxa plana; it is relatively new. It was suggested by the author in 1920. The name refers to the most characteristic attributes of the disease, viz., that the caput, collum and acetabulum, that is to say, the entire hip-joint becomes flattened. The name is taken to be analogous with coxa vara and coxa valga, the two other big groups of deformities in the hip; and just as' in the case of coxa vara, where one speaks of a coxa vara essential is, an osteomyelitica, a tuberculotica, and so OM, one can speak of a coxa plana essentialis, an osteomyelitica, a tuberculotica, etc. Without a doubt the most usual of these, and the only one which will here be described, is the coxa plana essential is, here, for the sake of brevity, called coxa plana. In the literature the disease is caIled Legg's disease, maladie de Calve, Perthes Krankheit, and so on, and osteochondritis deformans coxae juvenilis. The first names are unsuitable because they are the names of persons. The last name is incorrect for it is not a question of an inflammation. At the beginning most of those who described the disease believed that the cause was due to some bacterial influence; Legg and Perthes believed in staphylococci and the writer believed that some benign form of tuberculosis was present. Under such circumstances the name of osteochondritis might be accounted for; but now, when it is known that the cause of coxa plana essentialis is not due to any inflammatory influence, it becomes misleading. Can a coxa plana essentialis be differentiated from a coxa plana tuberculosa, staphylomycotica, etc. with certainty on a roentgen picture during the stage of development? No, it cannot. These coxa plana of inflammatory origin are very rare, but they are nevertheless to be found. I reported in my publication of 1909 a case of certain tuberculous coxa plana which, at a certain stage, both with respect to symptoms and the