Miracle-dz/UniFAR-FTUs huggingface dataset:
STAT5A and STAT5B—Twins with Different Personalities in Hematopoiesis and Leukemia

The transcription factors STAT5A and STAT5B have essential roles in survival and proliferation of hematopoietic cells—which have been considered largely redundant. Mutations of upstream kinases, copy number gains, or activating mutations in STAT5A, or more frequently in STAT5B, cause altered hematopoiesis and cancer. Interfering with their activity by pharmacological intervention is an up-and-coming therapeutic avenue. Precision medicine requests detailed knowledge of STAT5A’s and STAT5B’s individual functions. Recent evidence highlights the privileged role for STAT5B over STAT5A in normal and malignant hematopoiesis. Here, we provide an overview on their individual functions within the hematopoietic system.
Sulfasalazine Resolves Joint Stiffness in a Rabbit Model of Arthrofibrosis

Joint stiffness due to fibrosis/capsule contracture is a seriously disabling complication of articular injury that surgical interventions often fail to completely resolve. Fibrosis/contracture is associated with the abnormal persistence of myofibroblasts, which over‐produce and contract collagen matrices. We hypothesized that intra‐articular therapy with drugs targeting myofibroblast survival (sulfasalazine), or collagen production (β‐aminopropionitrile and cis‐hydroxyproline), would reduce joint stiffness in a rabbit model of fibrosis/contracture. Drugs were encapsulated in poly[lactic‐co‐glycolic] acid pellets and implanted in joints after fibrosis/contracture induction. Capsule α‐smooth muscle actin (α‐SMA) expression and intimal thickness were evaluated by immunohistochemistry and histomorphometry, respectively. Joint stiffness was quantified by flexion‐extension testing. Drawer tests were employed to determine if the drugs induced cruciate ligament laxity. Joint capsule fibroblasts were tested in vitro for contractile activity and α‐SMA expression. Stiffness in immobilized joints treated with blank pellets (control) was significantly higher than in non‐immobilized, untreated joints (normal) (p = 0.0008), and higher than in immobilized joints treated with sulfasalazine (p = 0.0065). None of the drugs caused significant cruciate ligament laxity. Intimal thickness was significantly lower than control in the normal and sulfasalazine‐treated groups (p = 0.010 and 0.025, respectively). Contractile activity in the cells from controls was significantly increased versus normal (p = 0.001). Sulfasalazine and β‐aminopropionitrile significantly inhibited this effect (p = 0.005 and 0.0006, respectively). α‐SMA expression was significantly higher in control versus normal (p = 0.0021) and versus sulfasalazine (p = 0.0007). These findings support the conclusion that sulfasalazine reduced stiffness by clearing myofibroblasts from fibrotic joints. Statement of clinical significance: The results provide proof‐of‐concept that established joint stiffness can be resolved non‐surgically. © 2019 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 38:629–638, 2020
Association between polymorphisms in microRNAs and susceptibility to diabetes mellitus

Abstract Background: Accumulated evidence has indicated the associations between single-nucleotide polymorphisms (SNPs) in microRNAs (miRNAs) and the susceptibility to diabetes mellitus (DM), but the conclusions remain controversial. This study was to investigate the true contribution of miRNA SNPs to the risk of DM by using a meta-analysis of all the published studies. Methods: Relevant studies were identified in the databases of PubMed and the Cochrane Library databases. The strength of associations between miRNA polymorphisms and DM risk was assessed by odds ratios (ORs) and 95% confidence intervals (95% CIs) under five genetic models using the STATA software. Results: Six studies, containing 2773 cases and 2632 controls, were enrolled, 5 of which evaluated miR-146a (rs2910164), 4 for miR-27a (rs895819), and 3 for miR-124 (rs531564) and 2 for miR-375 (rs6715345), miR-128a (rs11888095), miR-194a (rs3820455). The meta-analysis indicated that the G allele or GG genotype of miR-146a rs2910164 was associated with a significantly increased risk for DM compared with C allele or GC/CC genotype in Latin American population; CC genotype of miR-27a rs895819 polymorphism was associated with a significantly decreased risk for DM in Asian population compared with the TT genotype; patients carrying with CC genotype of miR-124 rs531564 had a lower probability to develop DM regardless of ethnicity; no associations were identified between polymorphisms in miR-375, miR-128a, miR-194a and the susceptibility to DM. Conclusion: Our study suggests that miR-146a/miR-27a and miR-124 polymorphisms may be ethnicity-dependent or -independent susceptibility factors to DM, respectively.
A Histological Examination of Odocoileus virginianus for Forensic Application

Few researchers have endeavored to approach the issue of bone histology in nonhuman specimen. In the forensic setting, it is oftentimes the norm to establish the origin of fragmentary remains as human or non-human; if the fragments are non-human then the analysis is usually said to be finished. If the specimen does prove to be non-human, it is useful and important to learn the identity of the faunal species. The white-tailed deer (Odocoileus virginianus) is common to the Eastern United States and is very often found in forensic settings, commingled with or alongside of human remains. This study thoroughly examines the histological character of the white-tailed deer so that it may be identified with confidence in the forensic field or in an archaeological setting. To assess the white-tailed deer femora and humeri were procured from five deer of varying ages -the goal being to understand histological changes within bones from the same specimen and between bones of deer at different stages of maturity. With the aid of a Buehler Isomet 1000 saw, two 0.08mm sections were cut at three-centimeter intervals on each diaphysis of the femur and humerus for each deer. These thin-sections were examined under a Leica DMRX light microscope at 100x magnification. The presence of all histological structures was noted for each slide and when evidence of bone remodeling was recorded, area measurements were taken on secondary osteons and Haversian canals. The observations and measurement data from each femur and humerus of the deer samples were compared in a statistical analysis to assess interand intra-bone variability iv among the deer. A repeated measures ANOVA examined the differences in osteon and Haversian canal area across the segments of the femoral and humeri shafts and between ages. These results indicate whether or not the histological character of the white-tailed deer differs depending on the age, the bone, or the specific location on a bone. The results indicate no significant mean differences within shafts or across ages for osteon area in the femur. No differences exist within the shafts of the humeri. Notable variations in osteon area do exist between ages in the humerus -the 3-year-old deer diverged from both the 1.5-year-old and the 2.5-year-old. The results also indicated no significant mean differences intra-shaft or across ages for Haversian canal areas in the femur. A significance difference was noted between the Haversian canal areas in the nine-month deer and the 2.5-year-old deer humeri. Based on the findings a blind test was performed on four unidentified bones samples to discern deer from other ungulates based on osteon areas. The methodology and results of this research were successfully utilized to distinguish white-tailed deer bone from pig, sheep, and goat at the histological level.
Is Relocation a Viable Management Option for Unwanted Animals? - The Case of the Leopard in India

country on the relocation of people from parks to decrease conflicting interests of wildlife conservation and the local people. The goal of such relocations is to enhance the conservation of threatened species like the tiger. Another facet of the same issue which is as important but not usually considered is of animals creating problems to human lives in man-modified landscapes. The common method of dealing with the latter is the relocation of the animals causing the problem. Animal problems in human-dominated landscapes are of different shapes, sizes and intensities ‐ ranging from a sighting of a potentially dangerous species (leopards/snakes/elephants, etc.) to attacks on people (by rabid dogs, aggressive monkeys, leopards or other wild animals). Over-population of wild animals (over-populated zoos, captive facilities, rescue centres), feral cattle (raiding crops) and feral dogs (attacking people and livestock) can also be categorised as animal problems. Thus, stray dogs, leopards, monkeys, and snakes are removed from an area where they are perceived to be a problem and released elsewhere ‐ almost never informing the people that such releases are taking place near their inhabitations. Figures of relocated animals are difficult to come by, but GSPCA (Gujarat Society for Prevention of Cruelty to Animals), a Vadodara-based animal welfare organisation rescued 1000 snakes, ~100 monkeys and ~40 raptors in 2005 and released them into a ‘good’ habitat. Two hundred and fifty rhesus monkeys were moved from an urban area and relocated into rural areas (Panwar
Size Dependent Competition in Centric Diatoms as a Function of Nitrogen and Silicon Availability

Size dependent competition was examined in two marine centric diatoms, Coscinodiscus sp. and Thalassiosira rotula at various, and Si concentrations. The growth responses for both species to nutrient levels were evaluated using two forms of nitrogen (NH4 and NO3) and silicon in both monoculture and mixed culture conditions. Under single species culture, the impact of Si did not depend on N forms for both diatoms. The increase of NH4-N enhanced the growth of Coscinodiscus, but did not affect T. rotula. When NO3-N was the nitrogen source, cell densities of both species were significantly enhanced by increasing Si concentrations, but only T. rotula density was affected by increasing N concentration. When Coscinodiscus sp. and T. rotula grew in the same culture, Coscinodiscus sp. dominated in both N forms. The scale of the dominance of Coscinodiscus sp. over T. rotula increased with decreasing N and Si concentrations. In the competition experiment, when was the N source, both Coscinodiscus sp. and T. rotula were signifi- cantly affected by changes in N concentration, but only T. rotula was affected by Si. When NO3 was the N source, neither Coscinodiscus sp. nor T. rotula was affected by Si, but T. rotula was enhanced by N levels. Regardless the N form, the impact of Si on neither Coscinodiscus sp. nor T. rotula depended on N concentration. Our results indicate that large diatom species have a competitive advantage over small species, and both large and small species were sensitive to NH4-N limitation, but the small species was more sensitive to NO3-N limitation than the large species.
Application of Neural Adaptive Filters for Analysis and Modeling of Complex Valued Electricity Load Time Series

Increased energy demand, together with deregulated energy market, emphasizes the role of accurate electricity load prediction. Design of the reliable predictor has to capture the nature of the electricity load time series. Further, electricity load time series requires modeling in complex domain. Design of neural networks based models for electricity load prediction tasks demands appropriate choice of the activation function of a neuron, structure and size of the training set, and learning algorithm. Neural adaptive filters, with their inherent simplicity and efficient learning algorithms, provide adequate tool for analysis and modeling of electricity load time series. Also, application of collaborative adaptive filters can give a deeper insight in the nature of electricity load time series, thus enabling better predictions. Experiments, carried out on the test load signal, metered on a medium voltage feeder. support the analysis. Keywordscollaborative adaptive filters, gradient descent neural adaptive filters, electricity load modeling, electricity load prediction
Predicting Food POI Attractions for Smart Business using Passenger Commuting Patterns

Understanding client's choices and attractions to visit a place is always a valuable research for smart business recommendations. Food Point of Interests (FPOI) are topnotch places for revenue generation as thousands of people visit them every day. The biggest challenge is to know what attracts the visitors to commute to a particular FPOI. The understanding of demand with commuting pattern reveals important facts about the relationship of clients and the specific food type. In this paper, we analyzed the data of public transportation to find the preferences of public transport passengers attracted to FPOI. Perusing to forecast the attraction behavior, we have proposed a Food Choice Model based on Graph Neural Network. The aim is to develop a relative graph network between passenger's travel pattern and the FPOIs. Commuting patterns are extracted using Automated Fare Collection (AFC) records of Beijing Subway to ascertain the most traveled stations neighboring FPOIs. Our contribution is validated by FPOIs ranks and reviews data available socially. In the end, the results confirmed that our model is predicting the values in agreement with the social media data.
Multicriteria Optimization Model to Generate on‐DEM Optimal Channel Networks

The theory of optimal channel networks (OCNs) explains the existence of self‐similarities in river networks by multiple optimality principles, namely, (i) the minimum energy expenditure in any link, (ii) the equal energy expenditure per unit area of channel anywhere, and (iii) the minimum total energy expenditure (TEE). These principles have been used to generate OCNs from 2‐D networks. The existing notion of OCN considers the concavity of river longitudinal profiles as a priori condition. Attempts to generate OCNs starting from a random 3‐D digital elevation model (DEM) and minimizing solely TEE have failed to reproduce concave profiles. Yet alternative approaches can be devised from the three optimality principles, for instance, focusing on the local energy expenditure (LEE). In this paper, we propose a Multiobjective modeling framework for Riverscape Exploration (MoRE) via simultaneous optimization of multiple OCN criteria. MoRE adopts a multiobjective evolutionary algorithm and radial basis functions to efficiently guide DEM elevation variations required to shape 3‐D OCNs. By minimizing both TEE and the variance in LEE, MoRE successfully reproduces realistic on‐DEM, OCN‐based riverscapes, for the first time. Simulated networks possess scaling laws of upstream area and length and river longitudinal profile resembling those of real river networks. The profile concavity of generated on‐DEM OCNs emerges as a consequence of the minimization of TEE constrained to the equalization of LEE. Minimizing TEE under this condition generates networks that possess specific patterns of LEE, where the scaling of slope with basin area resembles the patterns observed in real river networks.
Driver Adaptive Prediction for Pedestrian Detectability using In-Vehicle Camera Image

In recent years, advances in pedestrian detection technology have resulted in the development of driving assistance systems that notify the drivers of the presence of pedestrians. However, warning of the presence of all pedestrians would confuse the driver. Therefore, the driver should only be notified of the less detectable pedestrians to avoid confusion. To achieve this, it is necessary to develop a method to predict the driver's perception performance of pedestrian detectability. This paper proposes a method that predicts the pedestrian detectability considering the difference between individual drivers. The proposed method constructs a predictor specific to each driver, in order to predict the pedestrian detectability precisely. To obtain the ground truth of the pedestrian detectability, we conducted an experiment by human subjects using images from an in- vehicle camera including pedestrians. From the comparison between the output of the proposed method and the actual detectability, we confirmed that the proposed method significantly reduces the prediction error in comparison with the existing methods.
LPA of the HEXACO Model of Personality 1 Taking a Person-Centered Approach to Personality : A Latent-Profile Analysis of the HEXACO Model of Personality By

Our study applies a person-centered approach to the HEXACO model of personality using latent profile analysis (LPA). While the traditional variable-centered approach assumes that the relations among variables within a population are homogenous, the person-centered approach identifies subgroups within samples that have similar scores on several variables of interest, in this case, the six factors of personality. Data from two independent samples were collected at a large North American university. The results of LPA revealed five distinct and interpretable profiles that replicated and were found to be consistent across both samples. We discuss how our findings attest to the meaningfulness of personality profiles, and suggest additional ways in which a person-centered approach might be applied in personality research.
: Vision and Reading Deficits in Post-Concussion Patients : A Retrospective Analysis

The prevalence of vision deficits in the pediatric/young adult concussion population in the private optometric practice setting remains unknown. Thus, a retrospective chart review in this area was conducted in the practice of the first author. Twenty-five consecutive patients with a medical diagnosis of concussion received a comprehensive vision and ocular health examination, which also included an objectively-based Visagraph reading assessment and clinical vergence/accommodative facility testing. Three primary categories of oculomotor-based deficits were found: convergence insufficiency (56%), accommodative insufficiency (76%), and oculomotor-based reading dysfunctions (68-82%). The most common symptom was headaches (84%), with 25% of the symptoms related to reading. 68% (15/22) were categorized as reading at least 2 grade levels below their current school grade level for reading eye movements based on the Visagraph findings. These overall findings are consistent with the general oculomotor-based/reading findings in the concussion/mTBI literature. The present results have important practical ramifications regarding the importance of preconcussion baseline oculomotor and Visagraph testing, as well as post-concussion follow-up testing, to help assess a student’s ability to return-to-learn (RTL). Correspondence regarding this article should be emailed to Barry Tannen, OD, at btannenod@aol.com. All state­ ments are the author’s personal opinion and may not reflect the opinions of the College of Optometrists in Vision Development, Vision Development & Rehabilitation or any institu tion or organization to which the author may be affiliated. Permission to use reprints of this article must be obtained from the editor. Copyright 2015 College of Optometrists in Vision Development. VDR is indexed in the Directory of Open Access Journals. Online access is available at http://www.covd. org. Tannen B, Darner R, Ciuffreda K, Shelley-Tremblay J, Rogers J. Vision and reading deficits in post-concussion patients: A retrospective analysis. Vision Dev & Rehab 2015;1(3):206-13.
IR Shape From Shading Enhanced RGBD for 3D Scanning

RGBD Cameras such as the Microsoft Kinect that can quickly provide usable depth maps have become very affordable, and thus very popular and abundant in recent years. Beyond gaming, RGBD cameras can have numerous applications, including their use in affordable 3D scanners. These cameras however are limited in their ability to capture finer details. We explore the use of additional 3D reconstruction algorithms to enhance the depth maps produced from RGBD cameras, allowing them to capture more detail.
Macrophage migration inhibitory factor derived from spinal cord is involved in activation of macrophages following gecko tail amputation

Macrophages and their initiation of acute inflammation have been defined to be functionally important in tissue repair and regeneration. In injury‐induced production of macrophage migration inhibitory factor (MIF), which has been described as a pleiotropic protein that participates in multiple cellular and biologic processes, it is unknown whether it is involved in the regulation of macrophage events during the epimorphic regeneration. In the model of gecko tail amputation, the protein levels of gecko MIF (gMIF) have been determined to be significantly increased in the nerve cells of the spinal cord in association with the recruitment of macrophages to the lesion site. gMIF has been shown to interact with the CD74 receptor to promote the migration of macrophages through activation of Ras homolog gene family member A and to trigger inflammatory responses through MAPK signaling pathways. The determination of microsphere phagocytosis also indicated that gMIF could enhance macrophage phagocytosis. gMIF‐mediated recruitment and activation of macrophages have been found to be necessary for gecko tail regeneration, as evidenced by the depletion of macrophages using clodronate liposomes. The results present a novel function of MIF during the epimorphic regeneration, which is beneficial for insights into its pleiotropic property. —Wang, Y. , Wei, S. , Song, H. , Zhang, X. , Wang, W. , Du, N. , Song, T. , Liang, H. , Chen, X. , Wang, Y. Macrophage migration inhibitory factor derived from spinal cord is involved in activation of macrophages following gecko tail amputation. FASEB J. 33, 14798‐14810 (2019). www.fasebj. org
Universality of Coherent Raman Gain Suppression in Gas-Filled Broadband-Guiding Photonic Crystal Fibers

As shown in the early 1960s, the gain in stimulated Raman scattering (SRS) is drastically suppressed when the rate of creation of phonons (via pump-to-Stokes conversion) is exactly balanced by the rate of phonon annihilation (via pump-to-anti-Stokes conversion). This occurs when the phonon coherence waves synchronized vibrations of a large population of molecules have identical propagation constants for both processes, i.e., they are phase-velocity matched. As recently demonstrated, hydrogen-filled photonic crystal fiber pumped in the vicinity of its zero dispersion wavelength provides an ideal system for observing this effect. Here we report that Raman gain suppression is actually a universal feature of SRS in gas-filled hollow-core fibers, and that it can strongly impair SRS even when the dephasing rate is high, particularly at high pump powers when it is normally assumed that nonlinear processes become more (not less) efficient. This counterintuitive result means that intermodal stimulated Raman scattering (for example between LP01 and LP11 core modes) begins to dominate at high power levels. The results reported have important implications for fiber-based Raman shifters, amplifiers or frequency combs, especially for operation in the ultraviolet, where the Raman gain is much higher.