Miracle-dz/UniFAR-FTUs huggingface dataset:
The Consideration of Endometriosis in Women with Persistent Gastrointestinal Symptoms and a Novel Neuromusculoskeletal Treatment Approach

Endometriosis is a chronic, hormone-dependent, inflammatory disease, characterized by the presence and growth of endometrial tissue outside the uterine cavity and it is associated with chronic pelvic pain and infertility [1,2]. Worldwide, approximately 176 million women between the ages of 15 and 49 are affected by endometriosis [3]. Endometriosis is a complex disease that induces a chronic inflammatory process and can be challenging to treat [4]. Chronic pelvic pain syndrome (CPPS) is defined as pelvic pain lasting greater than three to six months that is not solely related to menstruation, sexual activity or bowel movements [5]. The symptoms of CPPS include abdominal, lumbosacral, buttock, vulvovaginal, perineal and rectal pain, urinary and bowel symptoms, and pain associated with intercourse. Patients with endometriosis often suffer for many years and see multiple physicians and medical providers before receiving a diagnosis. In patients aged 1845, the average delay in diagnosis is 6.7 years [6]. This may be secondary to the fact that endometriosis is a diagnosis of exclusion. The gold standard for the diagnosis of endometriosis has been visual inspection by laparoscopy, preferably with histological confirmation [7]. Because there is lack of a noninvasive test for endometriosis, there is often a significant delay in diagnosis of this disease. One caveat is transvaginal ultrasonography, transrectal ultrasound, and MRI, have the potential to facilitate the diagnosis of certain types of endometriosis, particularly an endometrioma or deep infiltrating endometriosis [8]. No serum marker has been found to diagnose endometriosis with adequate sensitivity and specificity [9]. Compounding the complexity of diagnosis, patients can often have recurrence of the disease even after a surgical excision of endometriosis. The overall recurrence rates range between 6% to 67% [4]. Summary
Respuesta de diatomeas a eventos de incendios en las cuencas de dos lagos de Patagonia Norte, Chile: Análisis del registro sedimentario

Response of diatom to fire events in watersheds of two Northern Patagonian lakes, Chile: Analysis of the sedimentary record Forest fires can generate changes in aquatic ecosystems, mainly due to increased nutrients by increased erosion and runoff. However, contradictory results were observed in the biological response of these ecosystems, depending on the environmental conditions in each region. The aim of this study was to asses, using a paleolimnological study, the response of diatoms communities in Thompson and Frio lakes located in the Region of Aysen (Northern Patagonian) to wildfires as a consequence of colonization of the area. The results indicated that the Thompson Lake presented significant changes in the composition of diatom assemblages due to fire and a post-fire recovery period. However, the Frio Lake showed no significant changes in response to the fire period, neither in diatom species composition nor in community parameters such as the absolute abundance, richness, diversity, dominance and the ratio between planktonic/benthonic diatoms. Such differences between lakes could be attributed, in order of importance, to the trophic status existing before the occurrence of fires, the watershed slope and the lake volume.
Exploring the Relationship Between Mindfulness, Self-Compassion, and Empathy in Student Therapists

Literature suggests that the practice of mindfulness may foster self-compassion within the practitioner. Mindfulness is also associated with increased empathy towards others. The current study explored the relationship between a mindfulness intervention and student clinicians’ levels of self-compassion and empathy towards a mock “client. ” Graduate student clinicians were randomly assigned to two groups: one that participated in a mindfulness exercise then viewed a mock client video, and another that did not participate in the mindfulness exercise and went directly to viewing the mock client video. Participants’ levels of empathy towards the client and self-compassion were measured. The results revealed no significant difference in self-compassion between the mindfulness group and the control group. Similarly, there was not a significant difference in reported empathy towards the client between the groups. Self-compassion was not found to mediate the relationship between mindfulness and empathy. There was a significant positive correlation between participants’ levels of self-compassion and the frequency with which they practiced mindfulness. Limitations to the study were the brevity of the mindfulness intervention, the computer-based administration, and the simulated nature of the client video. Future research should utilize an in-person mindfulness intervention that includes multiple administrations. Significant findings from this study show that respondents who reported higher levels of self-compassion also reported practicing mindfulness more frequently. This suggests that a devoted beginner who practices mindfulness regularly can experience positive changes in self-compassion fairly quickly, with no expert status needed. This finding can be used to inform clinical training as well as self-care practices among student therapists.
Exploring The Impact Of Transformational Leadership And Human Resource Practices On Operational Excellence Mediated By Knowledge Sharing: A Conceptual Framework

In changing global business environment industries are facing a lot of challenges which hamper its productivity and growth. It is through operational excellence different industries have overcome these challenges and achieved their desired goals. The purpose of this study is to propose a conceptual framework after systematic review of literature on the term operational excellence. Reviewing grounding theory of quality management, operational excellence models and factors influencing operational excellence from both quantitative and qualitative studies, we select three influencing variables Transformational Leadership (TL), Human Resource Practices (HRP) and Knowledge Sharing (KS) which affect operational excellence (OE). This paper further explores the impact of identified variables TL, HRP on OE and further check the role of KS as mediator. Finally this paper finalized a conceptual model after exploring previous studies and propose an empirical investigation for validation in future for researchers and practitioners.
THE DYNAMICS OF VORTICES IN VERTICAL SHEAR FLOWS By

A simple two-layer analogue model is used to elucidate aspects of vortex motion in a verticallysheared zonal ow. The model is based on the idea that a vortex can be considered as the sum of a pair of barotropic vortices, one whose vorticity, or potential vorticity, resides in the upper layer and the other resides in the lower layer. Each vortex has an associated tangential velocity distribution in the other layer, which advects the vortex in that layer. The strength of this velocity distribution is characterized by a coupling parameter, which, in the case of quasi-geostrophic vortices, is related to the Rossby depth scale. Besides their mutual advection, the component vortices are di erentially advected by vertical shear. The model leads to a set of coupled ordinary di erential equations for the motion of each component vortex, which may be solved analytically in certain circumstances. The calculations indicate two types of ow behaviour according to the strength of the component vortices, the degree of vertical coupling and the strength of the shear. For weak shear and/or strong vortices and strong coupling, the vortices rotate around each other as their mean centre translates with a fraction of the mean zonal ow. For strong shear and/or weak vortices and weak coupling, the vortices undergo a partial rotation while they are in proximity, but become progressively separated by the shear. The calculations are an aid to understanding the range of behaviour of vortices in shear in numerical calculations by other authors and it is reasonable to presume that the processes represented by the model are fundamental processes in tropical cyclones also. The analogue model is evaluated in the context of quasi-geostrophic theory, where the breakdown into the component vortices can be accomplished and where the complete problem can be solved numerically without approximation. The results of the quasi-geostrophic model are contrasted with those of other recent studies of baroclinic vortices in the absence of vertical shear.
Introduction: Digitalisation and automotive production networks in Europe

First, production locations face a fundamental challenge as far as their role in the production network is concerned. Increased automation may undermine competitive advantage in terms of lower labour costs and more flexible labour market arrangements. New technology may also replace the more knowledge-intensive tasks conducted by engineers in production locations, leading to the effective downgrading of the position of manufacturing units in the value chain. At the same time, digital technologies may support the decentralisation of advanced activities across the production network, allowing production sites to be upgraded through advanced manufacturing technologies.
A Bird's Eye View of the World's Fastest Networks

Low latency is of interest for a variety of applications. The most stringent latency requirements arise in financial trading, where sub-microsecond differences matter. As a result, firms in the financial technology sector are pushing networking technology to its limits, giving a peek into the future of consumer-grade terrestrial microwave networks. Here, we explore the world's most competitive network design race, which has played out over the past decade on the Chicago-New Jersey trading corridor. We systematically reconstruct licensed financial trading networks from publicly available information, and examine their latency, path redundancy, wireless link lengths, and operating frequencies.
A comprehensive review on Thankuni (Centella asiatica) as an herbal remedy in diabetes mellitus and wound healing

Thankuni or Centella asiatica (CA) is a nutritionally rich and traditionally revered medicinal herb. It contains many bioactive phytochemicals, namely Asiatic acid, Asiaticoside, Madecassic acid, Madecassoside etc. The herb possesses anti-oxidant, anti-inflammatory, anti-hyperglycemic and anti-ulcer properties. Such effects may be useful for the treatment of diabetes mellitus and its complications. Wound healing may also be promoted by such properties. Thus the present article targets to summarize the role of Thankuni in the treatment of diabetes and wound healing and highlight the possible mechanisms underlying such effects. Relevant articles were identified using PubMed and Google Scholar. Other authentic sources were also used. CA may stimulate insulin secretion, inhibit carbohydrate digestion, absorption and regulate the major metabolic pathways of carbohydrate in the body leading to normoglycaemia. Additionally it has the ability to promote wound healing and inhibit scar tissue formation. Such evidences corroborate the effectiveness of CA for treating these conditions.
Compositional Information Flow Analysis for WebAssembly Programs

WebAssembly is a new W3C standard, providing a portable target for compilation for various languages. All major browsers can run WebAssembly programs, and its use extends beyond the web: there is interest in compiling cross-platform desktop applications, server applications, IoT and embedded applications to WebAssembly because of the performance and security guarantees it aims to provide. Indeed, WebAssembly has been carefully designed with security in mind. In particular, WebAssembly applications are sandboxed from their host environment. However, recent works have brought to light several limitations that expose WebAssembly to traditional attack vectors. Visitors of websites using WebAssembly have been exposed to malicious code as a result.In this paper, we propose an automated static program analysis to address these security concerns. Our analysis is focused on information flow and is compositional. For every WebAssembly function, it first computes a summary that describes in a sound manner where the information from its parameters and the global program state can flow to. These summaries can then be applied during the subsequent analysis of function calls. Through a classical fixed-point formulation, one obtains an approximation of the information flow in the WebAssembly program. This results in the first compositional static analysis for WebAssembly. On a set of 34 benchmark programs spanning 196kLOC of WebAssembly, we compute at least 64% of the function summaries precisely in less than a minute in total.
Development of a Simulation Tool to Evaluate GNSS Positioning Performance in Urban Area

With the rapid development of spatial infrastructure in US, Europe, Japan, China and India, there is no doubt that the next generation Global Navigation Satellite System (GNSS) will improve the integrity, accuracy, reliability and availability of the position solution. GNSS is becoming an essential element of personal, commercial and public infrastructure and consequently part of our daily lives. However, the applicability of GPS in supporting a range of location-sensitive applications such as location based services in an urban environment is severely curtailed by the interference of the 3D urban settings. To characterize and gain in-depth understanding of such interferences and to be able to provide location-based optimization alternatives, a high-fidelity 3D urban model of Melbourne CBD built with ArcGIS and large scale high-resolution spatial data sets is used in this study to support a comprehensive simulation of current and future GNSS signal performance, in terms of signal continuity, availability, strength, geometry, positioning accuracy and reliability based on a number of scenarios. The design, structure and major components of the simulator are outlined. Useful time-stamped spatial patterns of the signal performance over the experimental urban area have been revealed which are valuable for supporting location based services applications, such as emergency responses, the optimization of wireless communication infrastructures and vehicle navigation services.
Impact of Rice Intensification and Urbanization on Surface Water Quality in An Giang Using a Statistical Approach

A few studies have evaluated the impact of land use land cover (LULC) change on surface water quality in the Vietnamese Mekong Delta (VMD), one of the most productive agricultural deltas in the world. This study aims to evaluate water quality parameters inside full- and semi-dike systems and outside of the dike system during the wet and dry season in An Giang Province. Multivariable statistical analysis and weighted arithmetic water quality index (WAWQI) were used to analyze 40 water samples in each seasons. The results show that the mean concentrations of conductivity (EC), phosphate (PO43−), ammonium (NH4+), chemical oxygen demand (COD), and potassium (K+) failed to meet the World Health Organization (WHO) and Vietnamese standards for both seasons. The NO2− concentration inside triple and double rice cropping systems during the dry season exceeds the permissible limit of the Vietnamese standard. The high concentration of COD, NH4+ were found in the urban area and the main river (Bassac River). The WAWQI showed that 97.5 and 95.0% of water samples fall into the bad and unsuitable, respectively, for drinking categories. The main reason behind this is direct discharge of untreated wastewater from the rice intensification and urban sewerage lines. The finding of this study is critically important for decision-makers to design different mitigation or adaptation measures for water resource management in lieu of rapid global changes in a timely manner in An Giang and the VMD.
Positional cloning of tumor suppressor genes from 3p21.3 involved in major human cancers

1 MTC, Department of Clinical Science and Education, Sodersjukhuset, Karolinska Institute, Stockholm,171 77, Sweden 2 Engelhardt Institute of Molecular Biology, the Russian Academy of Sciences, Vavilova, 32, Moscow, 119991 Russia 3 Russian State Genetics Center, 1-st Dorozhny proezd 1, Moscow, 117545 Russia 4 Centre for Cancer Research and Department of Clinical Oncology, University of Hong Kong, Pokfulam, Hong Kong (SAR), People's Republic of China 5 Chittaranjan National Cancer Institute, 37 S. P. Mukherjee Road, Kolkata 700 026, India 6 Institute of Molecular Biology and Genetics, Ukrainian Academy of Sciences, Kiev, Ukraine 7 Cancer-Causing Genes Section, Laboratory of Immunobiology, Center for Cancer Research, National Cancer Institute-Frederick, Bldg 560, NCI-Frederick, Frederick, MD 21702; currently at NIH/NHLBI, Hematology Branch.10 CRC, Room 5E-3256 Bethesda, MD 20895, USA
Icing conditions over Northern Eurasia in changing climate

Icing conditions, particularly in combinationwithwind, affect greatly the operation of overhead communication and transmission lines causing serious failures, which result in tremendous economic damage. Icing formation is dangerous to agriculture, forestry, high seasfishery, for land and off coast man-made infrastructure. Quantitative icing characteristics such asweight, thickness, and duration are very important for the economy and humanwellbeingwhen theirmaximumvalues exceed certain thresholds. Russianmeteorological stations performboth visual and instrumentalmonitoring of icing deposits. Visualmonitoring is ocular estimation of the type and intensity of icing and the date of ice appearance and disappearance. Instrumentalmonitoring is performed by ice accretion indicator that in addition to the type, intensity and duration of ice deposits reports also their weight and size.We used observations at 958Russian stations for the period 1977–2013 to analyze changes in the ice formation frequency at individualmeteorological stations and on the territory of quasi-homogeneous climatic regions in Russia. It was found that hoar frosts are observed inmost parts of Russia, but icing only occurs in EuropeanRussia and the Far East. On the Arctic coast of Russia, this phenomenon can even be observed in summermonths. Statistically significant decreasing trends in occurrence of icing and hoar frost events are found overmost of Russia. An increasing trend in icingweights (IWs)was found in theAtlantic Arctic region in autumn. Statistically significant large negative trends in IWs were found in the Pacific Arctic inwinter and spring.
ANALYSIS OF TRACE METALS ( Ni , Cu , and Zn ) IN WATER , MUD AND VARIOUS TISSUES OF MUD CRAB , Scylla olivacea FROM SETIU WETLANDS , TERENGGANU , MALAYSIA

Mud crabs, belonging to the genus Scylla from the family of Portunidae are important crustaceans of the mangrove ecosystem including Setiu Wetlands, Terengganu. Scylla olivacea is one of the three species of mud crabs that are indigenous to Setiu Wetlands, and are commonly found in the nypa palm at the lagoon areas. The mud crabs samplings were done during low tides at three locations designated as A, B, and C alongside Setiu Wetlands for trace metal analysis (Ni, Cu, and Zn). Samples of water and mud at the designated sampling points were analysed for trace metals by using an Inductive Couple Plasma-Mass Spectrometry (ICP-MS) gauge. As for the mud crabs, various parts of their body (gills, hepatopancreas, and claws) were being separated prior to trace metal analysis in each of the tissue. The average concentration for Ni, Cu, and Zn in water was 6.920±0.24 μg/L, 81.280±28.70 μg/L, and 13.400±7.50 μg/L respectively. It was found that, in the mud samples, the average values of Ni, Cu, and Zn were 5.833±0.73 ug/g, 4.782±0.77 ug/g, and 17.926±2.29 ug/g. The crab tissues analysis shows that, the average values of these trace metals in gills were 4.811±1.32 ug/g (Ni), 78.482±35.37 ug/g (Cu) and 96.803±22.28 ug/g (Zn) whereas in hepatopancreas, the average values were 4.131±2.50 ug/g (Ni), 90.903±25.56 ug/g (Cu) and 166.96±30.19 ug/g (Zn). In the claws tissues, the average value of Ni (3.550±0.955 ug/g), Cu (66.235±52.30 ug/g), and Zn (170.607±12.22 ug/g). The presence of Ni, Zn, and Cu in claws of mud crabs was significantly correlated with the metal content in the mud (r in range between 0. 975 and 0.999). Zinc content in the mud was also correlated significantly with Zn content in hepatopancreas (r = 0.9205) implying that the main source for metals accumulation in tissues of mud crabs comes from the mud surrounding their burrows. The data obtained provide the current status of the trace metal contents in wild mud crabs in relation to the environmental conditions of the habitat.
Selenium and Nano-Selenium Biofortification for Human Health: Opportunities and Challenges

Selenium is an essential micronutrient required for the health of humans and lower plants, but its importance for higher plants is still being investigated. The biological functions of Se related to human health revolve around its presence in 25 known selenoproteins (e.g., selenocysteine or the 21st amino acid). Humans may receive their required Se through plant uptake of soil Se, foods enriched in Se, or Se dietary supplements. Selenium nanoparticles (Se-NPs) have been applied to biofortified foods and feeds. Due to low toxicity and high efficiency, Se-NPs are used in applications such as cancer therapy and nano-medicines. Selenium and nano-selenium may be able to support and enhance the productivity of cultivated plants and animals under stressful conditions because they are antimicrobial and anti-carcinogenic agents, with antioxidant capacity and immune-modulatory efficacy. Thus, nano-selenium could be inserted in the feeds of fish and livestock to improvise stress resilience and productivity. This review offers new insights in Se and Se-NPs biofortification for edible plants and farm animals under stressful environments. Further, extensive research on Se-NPs is required to identify possible adverse effects on humans and their cytotoxicity.
Parallel Processing Of Data Mining Functions Using Clustering, Optimization And Classification Techniques

: Data mining is the process of extracting information from huge sets of data. Data mining is also known as Knowledge Discovery in Database (KDD). Data mining is highly useful in the domains such as market analysis & management, corporate analysis & risk management, and fraud detection. Data mining functions or algorithms are used to perform the specific process or task. In recent decade parallel processing of these data mining functions are encouraged in many research. The parallel processing of data mining functions can help to reduce the execution time. Thus the parallelization of data mining function can reduce the computational complexity and execution time, while handling large data set. In this paper the most used five parallel data mining functions and its performance is analyzed. The functions or algorithms considered in this performance analysis are Parallel K-Means (PKM) for clustering, Parallel Genetic Algorithm (PGA) for optimization, Graph-based Substructure pattern (gSpan) for parallel graph mining, Parallel Apriori (PA) for frequent itemset mining, Parallel Bayesian Network (PBN) for classification. These five techniques are implemented in common platform and its performance are evaluated based on execution time.