Miracle-dz/UniFAR-FTUs huggingface dataset:
MEDICINAL FLORA OF THE CHOLISTAN DESERT: A REVIEW

The Cholistan desert can be divided into two distinct regions on the basis of topography, soil type and texture, and vegetation structure: the northern Lesser Cholistan and southern Greater Cholistan. The desert is characterized by large saline compacted areas with alluvial clay, sandy ridges and dunes, and semi-stabilized to frequently shifting dunes. The climate is subtropical, harsh, hot and arid, and influenced by seasonal monsoons. Vegetation cover on the sand dunes is comprised by a few tussock-forming grasses including Cenchrus ciliaris, Panicum turgidum and Lasiurus scindicus, along with perennial shrubs Calligonum polygonoides, Leptadenia pyrotechnica and Aerva javanica. Interdunal flats are dominated by grasses, mainly Cymbopogon jwarancusa, Sporobolus ioclados, Panicum antidotale, and Ochthochloa compressa, and tall shrubs Calligonum polygonoides and Capparis decidua. Vegetation of saline patches is specific, dominated by halophytes mainly belonging to family Chenopodiaceae (Amaranthaceae). Many plants of the Cholistan desert, including Neurada procumbens, Aerva javanica, Capparis decidua, Cleome brachycarpa, Dipterygium glaucum, Gisekia pharnacioides, Suaeda fruticosa, Achyranthes aspera, Aerva javanica, Alhagi maurorum, Calotropis procera, Capparis decidua, Zaleya pentandra, Mollugo cerviana, Ziziphus mauritiana, Boerhavia procumbens, Cressa cretica and Crotalaria burhia, are frequently used by the local inhabitants to cure chronic and acute diseases. A variety of medicinally important chemical compounds have been extracted and identified from the plants of the Cholistan desert, including terpenes and triterpenoids, sterols and steroids, phenolics, flavonoids, gums and resins, quinones, anthocyanidines, saponins, antioxidants and fatty acids. Habitat degradation, intensive agricultural practices and overexploitation of resources pose a serious threat to the diversity of ethnobotanically important plant species. Allopathic medicines are generally highly priced and out of reach for many of the desert inhabitants. Herbal medicines are preferentially used by local people because they are cheaper than allopathic medicines and have relatively few side effects. Therefore, it is imperative to devise strategies to meet the increasing demand for medicinal plants, not only for the local inhabitants but also for international markets. Institutional support, therefore, can play a decisive role in improving the medicinal plant sector while providing financial support, cultivation and conservation of some important medicinal plants and promoting the domestic and international market systems.
The Skin and Inflamm-Aging

Simple Summary Aging affects all cells of the body, leading to impaired system function. Although scientists are beginning to identify some mechanisms underlying the aging process, a complete understanding remains elusive. One characteristic of aged individuals is chronic low-level inflammation throughout the body. Since inflammation induces oxidative stress and other effects that can impact proper system functioning over time, this chronic inflammation is thought to promote aging, called inflamm-aging. The cause of inflamm-aging is unclear but likely involves immune system malfunction and various other age-related alterations. Excessive inflammation of the skin, the largest organ of the body, can result in widespread effects on other systems, as is seen with inflammatory skin diseases such as psoriasis and atopic dermatitis. An important function of skin is to serve as a barrier to prevent the entry of environmental insults, such as microorganisms, and to retain water and other important substances inside the body. Disruption of this barrier results in skin inflammation that can impact the whole individual. It is known that, with age, our skin becomes less able to maintain the barrier. Therefore, we propose and discuss evidence for the idea that a poorly functioning skin barrier contributes to inflamm-aging. Abstract With its unique anatomical location facing both the external and internal environment, the skin has crucial functions, including shielding the body from damage caused by ultraviolet radiation and chemicals, preventing water loss, acting as a primary barrier against pathogens, participating in metabolic processes like vitamin D production and temperature control and relaying information to the body through sensory and proprioceptor nerves. Like all organ systems, skin is known to undergo multiple changes with aging. A better understanding of the mechanisms that mediate aging-related skin dysfunction may allow the creation of targeted therapeutics that have beneficial effects not only on aged skin but also on other organs and tissues that experience a loss of or decline in function with aging. The skin is the largest organ of the body and can contribute to serum inflammatory mediator levels. One alteration known to occur with age is an impairment of skin barrier function; since disruption of the barrier is known to induce inflammation, skin may be a major contributor to the sustained, sub-clinical systemic inflammation associated with aging. Such “inflamm-aging” may underlie many of the deleterious changes observed in aged individuals. This review explores the role of age-related skin changes, skin inflammation and inflamm-aging.
Acyclic Type of Relationships Between Autonomous Systems

The Internet connectivity in the autonomous system (AS) level reflects the commercial relationship between ASes. A connection between two ASes could be of type customer-provider when one AS is a provider of the other AS, or of type peer-peer, if they are peering ASes. This commercial relationship induces a global hierarchical structure which is a key ingredient in the ability to understand the topological structure of the AS connectivity graph. Unfortunately, it is very difficult to collect data regarding the actual type of the relationships between ASes, and in general this information is not part of the collected AS connectivity data. The Type of Relationship (ToR) problem attempts to address this shortcoming, by inferring the type of relationship between connected ASes based on their routing policies. However, the approaches presented so far are local in nature and do not capture the global hierarchical structure. In this work we define a novel way to infer this type of relationship from the collected data, taking into consideration both local policies and global hierarchy constrains. We define the Acyclic Type of Relationship AToR problem that captures this global hierarchy and present an efficient algorithm that allows determining if there is a hierarchical assignment without invalid paths. We then show that the related general optimization problem is NP-complete and present a 2/3 approximation algorithm where the objective function is to minimize the total number of local policy mismatches. We support our approach by extensive experiments and simulation results showing that our algorithms classify the type of relationship between ASes much better than all previous algorithms.
Microbial Compositions and Enzymes of a Forest Ecosystem in Alabama: Initial Response to Thinning and Burning Management Selections

Prescribed burning and tree thinning are commonly used restoration practices for US forests management to increase forest productivity and enhance plant and animal diversity. The impact of these practices in Alabama’s Bankhead National Forest (BNF) to soil microbial components and overall forest soil health are unknown. We hypothesized that microbial assemblages and enzyme activities are continuously changing in forest ecosystems especially due to management selections. Therefore, the objective of this study was to assess changes in microbial community compositions (fungal vs bacterial populations) via fatty acid methyl ester (FAME) profiling and several enzyme activities (β-glucosaminidase, acid phosphatase, arylsulfatase, β-glucosidase, xylanase, laccase, and manganese peroxidase) critical to soil organic matter (SOM) dynamics and biogeochemical cycling. In this forest, heavily-thinned plots without burning or less frequent burning treatments seemed to provide more favorable conditions (higher pH and lower C:N ratios) for C and N mineralization. This may explain a slight increase (by 12%) detected in fungi:bacteria (F:B) ratio in the heavily-thinned plots relative to the control. Thinned (lightly and heavily) plots showed greater ligninolytic (laccase and MnP) activities and lower β-glucosidase and β-glucosaminidase activities compared to the no-thinned plots probably due to increase depositions of woody recalcitrant C materials. We observed significant but negative correlations between the ligninolytic laccase and manganese peroxidase (Lac and MnP) enzymes respectively, with MBC (? 0.45* and ? 0.68** respectively) and MBN (? 0.43* and ? 0.65** respectively). Prescribed burning treatment reduced microbial biomass C and N of the 9-yr burned plot/lightly thinned plotsprobably due to depletion of labile C sources with the high temperatures, leaving mostly recalcitrant C sources as available soil substrates. Gram-positive bacteria (i15:0, a15:0, i17:0, and a17:0), actinomycetes (10-Me17:0, 10-Me18:0), AMF (16:1ω5c), and saprophytic fungi (18:1ω9c), largely contributed to the microbial compositions. This study bridges knowledge gaps in our understanding of microbial community compositions and enzyme-mediated processes in repeatedly burned and thinned forest ecosystems.
Information Systems Contribution to the Development of a Sustainable purchasing Policy

Sustainability has become a central corporate concern as well as a key factor of success in terms of both image and productivity. In turn, the purchasing function is crucial to the definition and implementation of a sustainability policy. It drives a company’s sourcing activities and connects its other functions (i.e. internal customers) to external suppliers and providers. In short, sustainable purchasing plays a key role in global strategy and therefore requires high performance tools. Information systems, which have come under heavy criticism due to their negative environmental effects, can provide support services while also stimulating and disseminating sustainable purchase policies. This is because despite their poor reputation, purchasing information systems which are usually designed to manage transactions and generate quick and significant gains through costcutting – have evolved to become virtual communities of practice where purchasers collaborate with one another and with internal or external partners to create sustainable value. The present study combines a literature review with a qualitative study to illustrate this emergence and show how information systems can and will contribute to the development of corporate sustainable purchasing policies. Using an exploratory approach and constructivist positioning, a “business forecasting” method is implemented to suggest a possible future for sustainable purchasing management, along with a new role for information systems. Towards this end, a scenario is co-constructed by 12 purchasing function experts responding to questions about their customs and practices and talking about their experiences, the effects of the rising wave of environmentalism, the problems they face in implementing and optimizing information systems and their professional. They also offer a few predictions and suggest new methods and modes of coordination. The study traces the development of new and innovative modes of sustainable purchasing management. These are aligned with a company’s global strategy thanks to the use of innovative information systems facilitating the dissemination of policies that purchasing departments implement both internally and externally through the integration of suppliers. Purchasing functions and information system departments work together to reduce the environmental footprint of technology and to exert greater influence on collaboration and teamwork by building an economic environment that is more viable and livable and also fairer. The originality of this article resides both in its sophisticated methodology, which associates several complementary approaches, and in its conclusions, which anticipate a probable future.
Inhibition of Euchromatic Histone Methyltransferase 1 and 2 Sensitizes Chronic Myeloid Leukemia Cells to Interferon Treatment

Background H3K9 methylation is one of the essential histone post-translational modifications for heterochromatin formation and transcriptional repression. Recently, several studies have demonstrated that H3K9 methylation negatively regulates the type I interferon response. Results We report the application of EHMT1 and EHMT2 specific chemical inhibitors to sensitize CML cell lines to interferon and imatinib treatments. Inhibition of EHMT1 and EHMT2 with BIX01294 enhances the cytotoxicity of IFNα2a in four CML cell lines, K562, KCL22, BV173 and KT1 cells. Chromatin immunoprecipitation assay shows that BIX01294 treatment enhances type I interferon response by reducing H3K9me2 at the promoters of interferon-stimulated genes. Additionally, BIX01294 treatment augments IFNα2a- and imatinib-mediated apoptosis in CML cell lines. Moreover, our data suggest that the expression level of EHMT1 and EHMT2 inversely correlates with the type I interferon responsiveness in CML cell lines. Conclusions Our study sheds light on the role of EHMT1 and EHMT2 as potential targets in improving the efficacy of standard treatments of CML.
Robust face recognition using locally adaptive sparse representation

This paper presents a block-based face-recognition algorithm based on a sparse linear-regression subspace model via locally adaptive dictionary constructed from past observable data (training samples). The local features of the algorithm provide an immediate benefit — the increase in robustness level to various registration errors. Our proposed approach is inspired by the way human beings often compare faces when presented with a tough decision: we analyze a series of local discriminative features (do the eyes match? how about the nose? what about the chin? …) and then make the final classification decision based on the fusion of local recognition results. In other words, our algorithm attempts to represent a block in an incoming test image as a linear combination of only a few atoms in a dictionary consisting of neighboring blocks in the same region across all training samples. The results of a series of these sparse local representations are used directly for recognition via either maximum likelihood fusion or a simple democratic majority voting scheme. Simulation results on standard face databases demonstrate the effectiveness of the proposed algorithm in the presence of multiple mis-registration errors such as translation, rotation, and scaling.
Run-Time Cache Bypassing

The growing disparity between processor and memory performance has made cache misses increasingly expensive. Additionally, data and instruction caches are not always used efficiently, resulting in large numbers of cache misses. Therefore, the importance of cache performance improvements at each level of the memory hierarchy will continue to grow. In numeric programs, there are several known compiler techniques for optimizing data cache performance. However, integer (nonnumeric) programs often have irregular access patterns that are more difficult for the compiler to optimize. In the past, cache management techniques such as cache bypassing were implemented manually at the machine-language-programming level. As the available chip area grows, it makes sense to spend more resources to allow intelligent control over the cache management. In this paper, we present an approach to improving cache effectiveness, taking advantage of the growing chip area, utilizing run-time adaptive cache management techniques, optimizing both performance and cost of implementation. Specifically, we are aiming to increase data cache effectiveness for integer programs. We propose a microarchitecture scheme where the hardware determines data placement within the cache hierarchy based on dynamic referencing behavior. This scheme is fully compatible with existing instruction set architectures. This paper examines the theoretical upper bounds on the cache hit ratio that cache bypassing can provide for integer applications, including several Windows applications with OS activity. Then, detailed trace-driven simulations of the integer applications are used to show that the implementation described in this paper can achieve performance close to that of the upper bound.
An efficient iris recognition using local feature descriptor

This paper presents a robust iris recognition system using local feature descriptor. The proposed biometric system accounts for two crucial issues. Firstly, iris texture is usually occluded by upper and lower eyelids. To handle this problem, a novel sector based normalisation is proposed. In this approach only non-occluded region is extracted by forming sectors of variable size. Secondly, texture features of iris transforms linearly due to illumination and position of these features changes due to rotation. For this purpose Speeded Up Robust Features (SURF) are found to be useful and invariant to transformations. The system is rigorously tested on database collected from three different sources i.e., BATH, CASIAV3 and IITK. Several local and global approaches have been compared with SURF. Experiments show that SURF outperforms other existing approaches in terms of accuracy and speed.
Question use in child mental health assessments and the challenges of listening to families

Background The mental health assessment is a fundamental aspect of clinical practice and central to this is the use of questions. Aims To investigate the frequency and type of questions utilised within a child mental health assessment. Method The data consisted of 28 naturally occurring assessments from a UK child and adolescent mental health service. Data were analysed using quantitative and qualitative content analysis to determine frequencies and question type. Results Results indicated a total of 9086 questions in 41 h across the 28 clinical encounters. This equated to a mean of 3.7 questions per minute. Four types of questions were identified; yes–no interrogatives, wh-prefaced questions, declarative questions and tag questions. Conclusions The current format of questioning may impede the opportunity for families to fully express their particular concerns and this has implications for service delivery and training.
Directed midbrain and spinal cord neurogenesis from pluripotent stem cells to model development and disease in a dish

Induction of specific neuronal fates is restricted in time and space in the developing CNS through integration of extrinsic morphogen signals and intrinsic determinants. Morphogens impose regional characteristics on neural progenitors and establish distinct progenitor domains. Such domains are defined by unique expression patterns of fate determining transcription factors. These processes of neuronal fate specification can be recapitulated in vitro using pluripotent stem cells. In this review, we focus on the generation of dopamine neurons and motor neurons, which are induced at ventral positions of the neural tube through Sonic hedgehog (Shh) signaling, and defined at anteroposterior positions by fibroblast growth factor (Fgf) 8, Wnt1, and retinoic acid (RA). In vitro utilization of these morphogenic signals typically results in the generation of multiple neuronal cell types, which are defined at the intersection of these signals. If the purpose of in vitro neurogenesis is to generate one cell type only, further lineage restriction can be accomplished by forced expression of specific transcription factors in a permissive environment. Alternatively, cell-sorting strategies allow for selection of neuronal progenitors or mature neurons. However, modeling development, disease and prospective therapies in a dish could benefit from structured heterogeneity, where desired neurons are appropriately synaptically connected and thus better reflect the three-dimensional structure of that region. By modulating the extrinsic environment to direct sequential generation of neural progenitors within a domain, followed by self-organization and synaptic establishment, a reductionist model of that brain region could be created. Here we review recent advances in neuronal fate induction in vitro, with a focus on the interplay between cell intrinsic and extrinsic factors, and discuss the implications for studying development and disease in a dish.
Organization Development at Work: Conversations on the Values, Applications, and Future of Od

Dedication and Reflections. Preface. Acknowledgments. 1. Questions of Identity: Who and What Are We? What Is Our Purpose? Whom Do We Serve? 2. Principles in Action. 3. Models and Methods. 4. Global Practice of OD. 5. The Future. Bibliography. About the Series. Statement of the Board. Afterword to the Series. About the Series Editors. About the Book Editors. About the Contributors. Index. Pfeiffer Publications Guide.
Chlorophyll Breakdown in Senescent Leaves

The biosynthetic pathway of Chl, probably the most important pigment in the biosphere, has been studied in considerable detail and is mentioned in plant physiology textbooks. Oddly enough, however, the breakdown of Chl is barely mentioned. Yet, as pointed out by Hendry et al. (1987), an estimated one billion tons of Chl are broken down every year, seemingly without leaving a trace. The only enzyme that is taught is chlorophyllase, discovered by Arthur Stoll in 1912, which cleaves Chl into phytol and Chlide, the Mg-porphyrin moiety of Chl. For most of the subsequent 80 years, chlorophyllase has been the only known part of the catabolic system. Until quite recently a11 the subsequent steps of Chlide breakdown remained undiscovered because no one was able to identify the breakdown products. We now know that the reason these products remained undetected is quite trivial: they are colorless. In mammals, the bile pigments biliverdin and bilirubin are colored breakdown products of heme; by analogy, plant biochemists may have expected the breakdown products of Chlide to be colored as well, but this is not the case, which is probably why they were overlooked for so long. The identification of the structures of these colorless catabolites has, in the last few years, led to the elucidation of the pathway of Chl catabolism in the senescing leaves of higher plants.
Protein Kinase C-θ (PKC-θ) in Natural Killer Cell Function and Anti-Tumor Immunity

The protein kinase C-θ (PKCθ), which is essential for T cell function and survival, is also required for efficient anti-tumor immune surveillance. Natural killer (NK) cells, which express PKCθ, play a prominent role in this process, mainly by elimination of tumor cells with reduced or absent major histocompatibility complex class-I (MHC-I) expression. This justifies the increased interest of the use of activated NK cells in anti-tumor immunotherapy in the clinic. The in vivo development of MHC-I-deficient tumors is much favored in PKCθ−/− mice compared with wild-type mice. Recent data offer some clues on the mechanism that could explain the important role of PKCθ in NK cell-mediated anti-tumor immune surveillance: some studies show that PKCθ is implicated in signal transduction and anti-tumoral activity of NK cells elicited by interleukin (IL)-12 or IL-15, while others show that it is implicated in NK cell functional activation mediated by certain killer-activating receptors. Alternatively, the possibility that PKCθ is involved in NK cell degranulation is discussed, since recent data indicate that it is implicated in microtubule-organizing center polarization to the immune synapse in CD4+ T cells. The implication of PKC isoforms in degranulation has been more extensively studied in cytotoxic T lymphocyte, and these studies will be also summarized.