Miracle-dz/UniFAR-FTUs huggingface dataset:
Tuberculosis - present medication and therapeutic prospects.

BACKGROUND Tuberculosis (TB) has been present in the history of human civilization since time immemorial and has caused more deaths than any other infectious disease. It is still considered one of the ten most common epidemiologic causes of death in the world. As a transmissible disease, it is initiated by rod-shaped (bacillus) mycobacteria. The management of tuberculosis became possible owing to several discoveries beginning in 1882 with the isolation of the TB bacillus by Robert Koch. The diagnosis of TB was enabled by finding a staining method for TB bacteria identification (1883). It was soon realized that a large-scale policy for the treatment and prevention of tuberculosis was necessary, which resulted in the foundation of International Union against Tuberculosis and Lung Diseases (1902). An antituberculotic vaccine was developed in 1921 and has been in therapeutic use since then. TB treatment regimens have changed over the decades and the latest recommendations are known as Directly Observed Treatment Short-course (DOTS, WHO 1993). METHODS A search of bibliographic databases was performed for peer-reviewed research literature. A focused review question and inclusion criteria were applied. Standard tools were used to assess the quality of retrieved papers. RESULTS A total of 112 papers were included comprising original publications and reviews. The paper overviews anti-TB drugs according to their mechanism of action. The chemical structure, metabolism and unwanted effects of such drugs have been discussed. The most recent treatment regimens and new drugs, including those in clinical trials, are also presented. CONCLUSION Despite a 22% decrease in the tuberculosis fatality rate observed between 2000 and 2015, the disease remains one of the ten prime causes of death worldwide. Increasing bacterial resistance and expensive, prolonged therapies are the main reasons for efforts to find effective drugs or antituberculotic regimens, especially to cure multidrug resistant tuberculosis.
Association between dietary diversity and obesity in the Filipino Women’s Diet and Health Study (FiLWHEL): A cross-sectional study

Background Dietary diversity—eating a more varied diet, may be one of the important components of a healthy diet. We aimed to examine whether dietary diversity score was associated with lower prevalence of obesity. Methods This is a cross-sectional study of 402 married immigrant participants enrolled in the Filipino Women’s diet and health study (FiLWHEL). Dietary information was obtained using the 24-hour recall method. Anthropometric measurements including height, weight, and waist circumference were directly measured. Dietary diversity score was calculated by summing up the reported number of food groups and additional scores for diversity within food groups were derived. We defined general obesity as body mass index (BMI) of ≥25 kg/m2 and abdominal obesity as waist circumference of ≥80 cm. We calculated odds ratios and 95% confidence intervals using the multivariable logistic regression accounting for several potential confounders. Results Dietary diversity score was inversely associated with abdominal and general obesity; odds ratios (95% confidence intervals) were 0.49 (0.30–0.82) (p for trend = 0.009) for abdominal obesity and 0.47 (0.28–0.81) (p for trend = 0.008) for general obesity when we compared the third tertile of diversity scores with the first tertile. In the analyses of diversity within food groups, greater diversity in other vegetables was associated with 49% or 50% lower prevalence of abdominal or general obesity, respectively. Furthermore, poultry diversity score was associated with 56% lower prevalence of general obesity. Conclusion Our study suggests the evidence that high dietary diversity appears to be related to low prevalence of obesity.
The GTPase Rab1 Is Required for NLRP3 Inflammasome Activation and Inflammatory Lung Injury

Uncontrolled inflammatory response during sepsis predominantly contributes to the development of multiorgan failure and lethality. However, the cellular and molecular mechanisms for excessive production and release of proinflammatory cytokines are not clearly defined. In this study, we show the crucial role of the GTPase Ras-related protein in brain (Rab)1a in regulating the nucleotide binding domain-like receptor family, pyrin domain containing 3 (NLRP3) inflammasome activation and lung inflammatory injury. Expression of dominant negative Rab1 N124I plasmid in bone marrow–derived macrophages prevented the release of IL-1β and IL-18, NLRP3 inflammasome activation, production of pro–IL-1β and pro–IL-18, and attenuated TLR4 surface expression and NF-кB activation induced by bacterial LPS and ATP compared with control cells. In alveolar macrophage–depleted mice challenged with cecal ligation and puncture, pulmonary transplantation of Rab1a-inactivated macrophages by expression of Rab1 N124I plasmid dramatically reduced the release of IL-1β and IL-18, neutrophil count in bronchoalveolar lavage fluid, and inflammatory lung injury. Rab1a activity was elevated in alveolar macrophages from septic patients and positively associated with severity of sepsis and respiratory dysfunction. Thus, inhibition of Rab1a activity in macrophages resulting in the suppression of NLRP3 inflammasome activation may be a promising target for the treatment of patients with sepsis.
The Effect of Maternal Obesity on Placental Cell-Free DNA Release in a Mouse Model

Background: The fetal fraction of cell-free DNA (cfDNA) in maternal plasma is decreased in obese women. The underlying mechanism is not well understood. The amount of cfDNA released from the placenta has not been directly examined in maternal obesity. Objective: We sought to quantify release of cfDNA from the placenta and fetal membranes in maternal diet-induced obesity using explant cultures in an established mouse model. Study Design: C57BL6/J females were fed either 60% high-fat diet or 10% fat-matched control diet for 14 weeks prepregnancy and throughout gestation. Placentas and fetal membranes were collected on e18 and randomly allocated to time 0-, 1-, or 6-hour culture times. The CfDNA was isolated from culture media, quantified, and normalized to tissue weight. Results: Placentas from obese dams released significantly less cfDNA compared to those of lean dams at time 0 (45.8 ± 4.3 ng/mg vs 65.6 ± 7.9 ng/mg, P = .02). Absolute cfDNA levels increased with longer placental culture, with no significant differences between obese and lean dams at 1 and 6 hours. Membranes released significantly less cfDNA than did placentas at every time point. Conclusions: Maternal obesity is associated with decreased release of cfDNA from the placenta compared to lean controls immediately after tissue harvest. This may provide an alternative explanation for the lower fetal fraction of cfDNA noted in maternal obesity.
Not all Technology Combinations are Created Equal: How Technological Rarity Increases Innovation Value

Valuable innovations often arise from recombination of technologies. This paper examines how prior experience with combining technologies influences the ability to generate valuable innovations, and how innovation value is affected by the rarity and complexity of the combinations produced. Focusing on the core technologies of an industry, rarity describes combinations infrequently developed, and complexity the number of technological components combined. We take as our empirical case hydrocracking, a rather mature technology widely applied in the oil industry, where up to three distinct technologies can be combined into one innovation. In consistence with prior literature we confirm that innovations combining different technology areas are more valuable. But the results also suggest to the organizational learning literature that not all combinations are equally valuable: only the innovations based on technology areas rarely combined are of higher value, meaning that learning to generate rare innovations, are more valuable, than learning to generate less rare combinations.
Intersection of Brain Development and Paediatric Diffuse Midline Gliomas: Potential Role of Microenvironment in Tumour Growth

Diffuse intrinsic pontine glioma (DIPG) is a devastating and incurable paediatric brain tumour with a median overall survival of 9 months. Until recently, DIPGs were treated similarly to adult gliomas, but due to the advancement in molecular and imaging technologies, our understanding of these tumours has increased dramatically. While extensive research is being undertaken to determine the function of the molecular aberrations in DIPG, there are significant gaps in understanding the biology and the influence of the tumour microenvironment on DIPG growth, specifically in regards to the developing pons. The precise orchestration and co-ordination of the development of the brain, the most complex organ in the body, is still not fully understood. Herein, we present a brief overview of brainstem development, discuss the developing microenvironment in terms of DIPG growth, and provide a basis for the need for studies focused on bridging pontine development and DIPG microenvironment. Conducting investigations in the context of a developing brain will lead to a better understanding of the role of the tumour microenvironment and will help lead to identification of drivers of tumour growth and therapeutic resistance.
Dissemination of Genetic Acquisition/Loss Provides a Variety of Quorum Sensing Regulatory Properties in Pseudoalteromonas

Quorum sensing (QS) enables single-celled bacteria to communicate with chemical signals in order to synchronize group-level bacterial behavior. Pseudoalteromonas are marine bacteria found in versatile environments, of which QS regulation for their habitat adaptation is extremely fragmentary. To distinguish genes required for QS regulation in Pseudoalteromonas, comparative genomics was deployed to define the pan-genomics for twelve isolates and previously-sequenced genomes, of which acyl-homoserine lactone (AHL)-based QS traits were characterized. Additionally, transposon mutagenesis was used to identify the essential QS regulatory genes in the selected Pseudoalteromonas isolate. A remarkable feature showed that AHL-based colorization intensity of biosensors induced by Pseudoalteromonas most likely correlates with QS regulators genetic heterogeneity within the genus. This is supported by the relative expression levels of two of the main QS regulatory genes (luxO and rpoN) analyzed in representative Pseudoalteromonas isolates. Notably, comprehensive QS regulatory schema and the working model proposed in Pseudoalteromonas seem to phylogenetically include the network architectures derived from Escherichia coli, Pseudomonas, and Vibrio. Several associated genes were mapped by transposon mutagenesis. Among them, a right origin-binding protein-encoding gene (robp) was functionally identified as a positive QS regulatory gene. This gene lies on a genomic instable region and exists in the aforementioned bioinformatically recruited QS regulatory schema. The obtained data emphasize that the distinctly- and hierarchically-organized mechanisms probably target QS association in Pseudoalteromonas dynamic genomes, thus leading to bacterial ability to accommodate their adaption fitness and survival advantages.
Spatio-Temporal Differences in Nitrogen Reduction Rates under Biotic and Abiotic Processes in River Water of the Taihu Basin, China

Understanding spatio-temporal differences in nitrogen (N) transformation, transport and reduction rates in water bodies is critical to achieve effective mitigation of river eutrophication. We performed culture experiments in six rivers in the Taihu Basin using a custom made in-situ experimental apparatus. We investigated spatio-temporal differences in reduce processes and rates of different N forms and assessed the contribution of biological processes to dissolved inorganic N (DIN) reduce. Results showed that biological processes played a major role in N reduction in summer, while non-microbial processes were dominant in winter. We observed significant spatial and temporal differences in the studied mechanisms, with reduction rates of different N compounds being significantly higher in summer and autumn than spring and winter. Reduction rates ranged from 105.4 ± 25.3 to 1458.8 ± 98.4 mg·(m3·d)−1 for total N, 33.1 ± 12.3 to 440.9 ± 33.1 mg·(m3·d)−1 for ammonium, 56.3 ± 22.7 to 332.1 ± 61.9 mg·(m3·d)−1 for nitrate and 0.4 ± 0.3 to 31.8 ± 9.0 mg·(m3·d)−1 for nitrite across four seasons. Mean DIN reduction rates with and without microbial activity were 96.0 ± 46.4 mg·(m3·d)−1 and 288.1 ± 67.8 mg·(m3·d)−1, respectively, with microbial activity rates accounting for 29.7% of the DIN load and 2.2% of the N load. Results of correlation and principal component analysis showed that the main factors influencing N processing were the concentrations of different N forms and multiple environmental factors in spring, N concentrations, DO and pH in summer, N concentrations and water velocity in autumn and N concentrations in winter.
Max-Min Rates in Self-backhauled Millimeter Wave Cellular Networks

This paper considers the following question for viable wide-area millimeter wave cellular networks. What is the maximum extended coverage area of a single fiber site using multi-hop relaying, while achieving a minimum target per user data rate? We formulate an optimization problem to maximize the minimum end-to-end per user data rate, and exploit unique features of millimeter wave deployments to yield a tractable solution. The mesh network is modeled as a $k-$ring urban-canyon type deployment, where $k$ is the number of hops back to the fiber site. The total number of relays per fiber site grows as $k^2$. We consider both integrated access-backhaul (IAB) and orthogonal access-backhaul (OAB) resource allocation strategies, as well as both half and full duplex base stations (BSs). With a few validated simplifications, our results are given as simple closed-form expressions that are easy to evaluate even for large networks. Several design guidelines are provided, including on the choice of routing and scheduling strategy, the maximum allowable self-interference in full duplex relays and role of dual connectivity to reduce load imbalance across BSs. For example, we show that for certain load conditions there is very little gain to IAB (as considered for 5G) as opposed to tunable OAB (using separate spectrum for access and backhaul links); the latter being significantly simpler to implement.
Solvent Bar Micro-Extraction of Heavy Metals from Natural Water Samples Using 3-Hydroxy-2-Naphthoate-Based Ionic Liquids

Developments in the liquid micro-extraction of trace metals from aqueous phases have proven to be limited when extended from pure water to more complex and demanding matrices such as sea water or wastewater treatment effluents. To establish a system that works under such matrices, we successfully tested three task-specific ionic liquids, namely trihexyltetradecyl- phosphonium-, methyltrioctylphosphonium- and methyltrioctylammonium 3-hydroxy-2-naphthoate in two-phase solvent bar micro-extraction (SBME) experiments. We describe the influence of pH, organic additives, time, stirring rate and volume of ionic liquid for multi-elemental micro-extraction of Cu, Ag, Cd and Pb from various synthetic and natural aqueous feed solutions. Highest extraction for all metals was achieved at pH 8.0. Minimal leaching of the ionic liquids into the aqueous phase was demonstrated, with values < 30 mg L−1 DOC in all cases. Sample salinities of up to 60 g L−1 NaCl had a positive effect on the extraction of Cd, possibly due to an efficient extraction mechanism of the present chlorido complexes. In metal-spiked natural feed solutions, the selected SBME setups showed unchanged stability under all conditions tested. We could efficiently (≥85%) extract Cu and Ag from drinking water and achieved high efficacies for Ag and Cd from natural sea water and hypersaline water, respectively. The method presented here proves to be a useful tool for an efficient SBME of heavy metals from natural waters without the need to pretreat or modify the sample.
MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition

Human actions in videos are three-dimensional (3D) signals. Recent attempts use 3D convolutional neural networks (CNNs) to explore spatio-temporal information for human action recognition. Though promising, 3D CNNs have not achieved high performanceon on this task with respect to their well-established two-dimensional (2D) counterparts for visual recognition in still images. We argue that the high training complexity of spatio-temporal fusion and the huge memory cost of 3D convolution hinder current 3D CNNs, which stack 3D convolutions layer by layer, by outputting deeper feature maps that are crucial for high-level tasks. We thus propose a Mixed Convolutional Tube (MiCT) that integrates 2D CNNs with the 3D convolution module to generate deeper and more informative feature maps, while reducing training complexity in each round of spatio-temporal fusion. A new end-to-end trainable deep 3D network, MiCT-Net, is also proposed based on the MiCT to better explore spatio-temporal information in human actions. Evaluations on three well-known benchmark datasets (UCF101, Sport-1M and HMDB-51) show that the proposed MiCT-Net significantly outperforms the original 3D CNNs. Compared with state-of-the-art approaches for action recognition on UCF101 and HMDB51, our MiCT-Net yields the best performance.
Metabolic and bone profile in postmenopausal women with and without type 2 diabetes: a cross-sectional study

Abstract Introduction. Current studies support the implication of metabolic changes associated with type 2 diabetes in altering bone metabolism, structure and resistance. Objective. We conducted a cross-sectional study on postmenopausal women aimed to analyze the differences in metabolic and bone profile in patients with and without type 2 diabetes Methods. We analyzed the metabolic and bone profile in postmenopausal women with and without type 2 diabetes (T2DM). Clinical, metabolic, hormonal parameters, along with lumbar, hip and femoral bone mineral density (BMD) and trabecular bone score (TBS) were evaluated. Results. 56 women with T2DM(63.57±8.97 years) and 83 non-T2DM (60.21±8.77 years) were included. T2DM patients presented a higher value of body mass index (BMI) and BMD vs. control group (p = 0.001; p = 0.03-lumbar level, p = 0.07-femoral neck and p = 0.001-total hip). Also, BMI correlated positively with lumbar-BMD and glycated hemoglobin (HbA1c) (r = 0.348, p = 0.01; r = 0.269, p = 0.04), correlation maintained even after age and estimated glomerular filtration rate (eGFR) adjustment (r = 0.383, p = 0.005; r = 0.237, p = 0.08). Diabetic patients recorded lower levels of 25(OH)D(p = 0.05), bone markers (p ≤ 0.05) and TBS(p = 0.07). For the entire patient group we found a negative correlation between HbA1c level and bone markers: r = -0.358, p = 0.0005-osteocalcin, r = -0.40, p = 0.0005-P1NP, r = -0.258, p = 0.005-crosslaps. Conclusions. Our results indicate the presence of altered bone microarchitecture in T2DZ patients according to the TBS score, combined with lower levels of bone markers, with a statistically significant negative correlation between HbA1c level and bone markers.
Perceptions of an online 'train-the-champion' approach to increase workplace movement.

Prolonged sitting is now recognized as an emergent work health and safety issue. To address the need for a scalable sitting-reduction intervention for workplaces, the BeUpstanding™ Champion Toolkit was developed. This free, online toolkit uses a 'train-the-champion' approach, providing a step-by-step guide and resources to workplace champions to assist them in raising awareness and building a supportive culture to reduce sitting time in their team. This qualitative study explored champion and staff perceptions of the beta (test) version of the toolkit. Seven work teams, from a range of workplace sectors (blue-/white-collar), sizes (small/medium/large) and locations (urban/regional) participated; all team members were exposed to the program (n = 603). Approximately 4 months after program initiation, semi-structured interviews were conducted with all champions (n = 7); focus groups were conducted with a random sample of staff (n = 40). Champions were followed-up again at 12 months (n = 5). Transcripts were coded by two researchers, with codes organized into overarching themes. All champions found the 'train-the-champion' approach, and the toolkit acceptable. Common enablers for intervention delivery included: champion passion for staff health and wellbeing; perceived fit of the program within existing practice; and, management support. Champions and staff reported improvements in knowledge/awareness about sitting, cultural norms, perceived stress, productivity and resilience. Facilitators for sustained change over time included a stable organizational climate and ongoing management support; barriers included workload intensification. The beta version of the BeUpstanding™ Champion Toolkit was highly acceptable to workplace champions and staff, and was perceived to have benefits for team culture and staff knowledge and wellbeing.
Combinational processes in uranil structures

It is established that the photoluminescence spectra of uranyl compounds have a shape of combination bands as equidistant Stokes satellites. These satellites correspond to the transitions from the excited electronic state to the vibrational states of fully-symmetric mode with the frequency of 854 cm-1. The stimulated Raman scattering of light in uranyl compounds is observed when excited by the ultra-short powerful pulses of the laser YAG: Nd3+ (λ=532 nm). The detected combinational processes open the possibility for detecting the uranyl compounds in mixtures and in the environment. The article analyses the conditions for the realization of laser generation in the uranyl compounds.
Tetrahydroxy stilbene glucoside protected against diabetes‐induced osteoporosis in mice with streptozotocin‐induced hyperglycemia

Tetrahydroxy stilbene glucoside (TSG), an active component from medicinal herb Polygonum multiflorum Thunb, could block the activity of the tissue renin–angiotensin system (RAS), which plays a critical role in development of diabetic osteoporosis. This study aimed to determine if TSG therapy could alleviate bone deteriorations in diabetic mouse model induced by streptozotocin. The diabetic mice showed the loss of trabecular bone mass and the changes of trabecular bone microarchitectural parameters as well as the increase in amount of tartrate‐resistant acid phosphatase (TRAP)–positive osteoclasts at the distal metaphysis of femur when compared with those of nondiabetic mice. Treatment with TSG significantly elevated calcium content in serum and bone and improved biological parameters of trabecular bone, accompanied by increasing messenger RNA (mRNA) expression of RUNX‐2, COL‐I, and OCN and protein expression of β‐catenin as well as down‐regulating protein expression of RAS components including renin and AT1R. In addition, TSG repressed diabetes‐induced decrease in ratio of OPG/RANKL expression and increase in sclerostin expression in bone. The similar effects of TSG on osteoblasts‐specific genes were found in MC3T3‐E1 cells. Taken together, the present study demonstrated the osteopreserve effects of TSG in diabetic mice, and the underlying mechanism might be attributed to its regulation on osteogenesis and osteoclastogenesis.