Miracle-dz/UniFAR-FTUs huggingface dataset:
Persistence of Gut Microbiota Dysbiosis and Chronic Systemic Inflammation After Cerebral Infarction in Cynomolgus Monkeys

Background: The bidirectional interaction between the gut and brain after stroke through the immune-mediated pathway has been studied. However, the long-term effects of gut microbiota and systemic immune homeostasis after cerebral ischemia remain unclear. We examined long-term changes in the gut microbiota and systemic inflammatory cytokines after cerebral infarction in cynomolgus monkeys. Methods: Twelve monkeys underwent successful distal M1 segment of the left middle cerebral artery occlusion (MCAO) and were randomly and equally assigned to the MCAO-1.5 m, MCAO-6 m, and MCAO-12 m groups, which were sacrificed 1.5, 6, and 12 months after cerebral infarction induction, respectively. Four monkeys that underwent a sham operation were sacrificed 12 months later. The gut microbiota and short-chain fatty acids (SCFAs) were analyzed by 16S rDNA sequencing and gas chromatography mass spectrometry, respectively. Histological examinations of the transverse colon were performed. Plasma D-lactate, zonulin, lipopolysaccharide (LPS), tumor necrosis factor (TNF-α), interferon (IFN)-γ, and interleukin (IL)-6 were detected by immunoassay kits. Results: The levels of the Bacteroidetes phylum and Prevotella genus were significantly increased, while the Firmicutes phylum as well as the Faecalibacterium, Oscillospira, and Lactobacillus genera were decreased after cerebral infarction. Gut-originating SCFAs were significantly decreased 6 and 12 months after cerebral infarction (P < 0.05). We observed intestinal mucosal damage, evaluated by Chiu's score. Plasma D-lactate, zonulin, LPS, TNF-α, IFN-γ, and IL-6 were significantly increased after cerebral infarction (P < 0.05). Additionally, the increases in plasma LPS, TNF-α, IFN-γ, and IL-6 after cerebral infarction coincided with overgrowth of the Bacteroidetes phylum (P < 0.001). Conclusion: Cerebral infarction induces persistent host gut microbiota dysbiosis, intestinal mucosal damage, and chronic systemic inflammation in cynomolgus monkeys.
MRI Image Segmentation Based on a GPU Shortest Path Algorithm

Dijkstra algorithm can be adopted to distinguish different parts of boundaries in medical image segmentation problem, which can be a reference for further segmentation operation. However, classical Dijkstra algorithm can hardly adapt to real time image segmentation problem owing to its exponentially O(n 2 ) computing complexity, especially for the increasing number of nodes. In this paper, we designed and implemented a parallel shortest path algorithm accelerated by GPU for medical image segmentation problem. A dynamic relax approach is presented to optimize classical Dijkstra algorithm. Therefore, the new parallel Dijkstra algorithm can be easily applied to CUDA parallel framework without concerning about GPU hardware and CUDA optimize details. Two experiments have been conducted to evaluate the algorithm performance. The results show that our new Dijkstra algorithm can get 8 speedup for 4096 points compared with the classical Dijkstra algorithm. Besides, an impressing result with two speed up for 128*128 points problems is demonstrated in parallel Dijkstra compared with parallel Moore. In conclusion, the new parallel Dijkstra algorithm can significantly improve the real-time performance of image segmentation.
What Is Excitation/Inhibition and How Is It Regulated? A Case of the Elephant and the Wisemen

The balance between excitation and inhibition in neuronal circuits has drawn more and more attention in recent years, due to its proposed multifaceted functions in the normal neural circuit as well as its potential roles in the etiology of many neurological disorders. Here, we discuss the importance of clearly defining excitation/inhibition by experimental measurements and the implications of some recent studies to our understanding of the regulation of excitation/inhibition at the neuronal level.
An Implementation Proposal for IEEE 802.11ay SU/MU-MIMO Communication in ns-3

Wireless communications in the millimeter-wave band bring unprecedented capabilities to achieve wireline performance in wireless networks and alleviate the congestion problem of current wireless technologies. However, efficient wireless networking in this band is extremely challenging compared to wireless technologies operating in the microwave band. IEEE 802.11ay is the next generation multi-gigabit standard to support wireless networking at 60 GHz. It is envisioned to support extremely high data-rates of up to 300 Gbps, achieved through new complex physical layer techniques including MIMO communication, channel bonding and aggregation, and high order-modulation schemes. Simulating the IEEE 802.11ay standard in a network-level simulator requires accurate abstraction models to incorporate the effects of those techniques. At the time of writing, ns-3, a system-level simulator widely used by the scientific community, still lacks support for MU-MIMO communication. Additionally, it requires generating environment dependent SNR-to-BER look-up tables to accurately simulate SU-MIMO communication. In this paper, we propose a hybrid implementation that includes minimum signal processing blocks to accurately simulate IEEE 802.11ay SU/MU-MIMO communication in ns-3 with high accuracy and reduced computational complexity.
Complete genome sequence of a novel influenza A H1N2 virus circulating in swine from Central Bajio region, Mexico

The aim of this study was to perform the complete genome sequence of a swine influenza A H1N2 virus strain isolated from a pig in Guanajuato, México (A/swine/Mexico/GtoDMZC01/2014) and to report its seroprevalence in 86 counties at the Central Bajio zone. To understand the evolutionary dynamics of the isolate, we undertook a phylogenetic analysis of the eight gene segments. These data revealed that the isolated virus is a reassortant H1N2 subtype, as its genes are derived from human (HA, NP, PA) and swine (M, NA, PB1, PB2 and NS) influenza viruses. Pig serum samples were analysed by the hemagglutination inhibition test, using wild H1N2 and H3N2 strains (A/swine/México/Mex51/2010 [H3N2]) as antigen sources. Positive samples to the H1N2 subtype were processed using the field-isolated H1N1 subtype (A/swine/México/Ver37/2010 [H1N1]). Seroprevalence to the H1N2 subtype was 26.74% in the sampled counties, being Jalisco the state with highest seroprevalence to this subtype (35.30%). The results herein reported demonstrate that this new, previously unregistered influenza virus subtype in México that shows internal genes from other swine viral subtypes isolated in the past 5 years, along with human virus-originated genes, is widely distributed in this area of the country.
An empirical study to identify the forms of organizational commitment in public sector organizations in Saudi Arabia

Organizational commitment (OC) is an important psychological construct that has been studied for more than four decades. Meyer and Herscovitch (2002) defined commitment as the incentive that sustains a line of behaviour towards one or more objectives. It has been theorized that commitment is a multidimensional construct with various antecedents, correlates, and consequences across various dimensions (Meyer, Stanley, Herscovitch, & Topolnytsky, 2001). The relationships between employees and their organizations have become imperative to the effective functioning of the workplace. These relationships affect not only employees but also the companies (Meyer et al. 2001). Positive consequences can be: good attendance, participation and low turnover (Abbott et al. 2005). While negative consequences can be negative, for instance: high turnover, low productivity and absenteeism. Practicing managers and behavioural scientists have been influenced by organizational commitment in recent years (Mowday et al. 1982) and given it increased attention for the numerous positive and negative occupational impacts. Although most practitioners are inclined to associate high commitment with increased productivity and lower turn over, organizational scientists strive to understand the component of commitment and their differential forms in order to analyse the relationships between these commitment forms and the antecedents or work outcomes (Allen and Meyer, 1990;1991;1997; Meyer and Herscovitch, 2001 ). Accordingly, this study will explore the type of organizational commitment in the public sector in 1 Suzan Alqurashi is a lecturer in the Faculty of Economic & Administartion of King Abdul Aziz University in Jeddah ; She is now in her second year of the NewRoute PhD . First supervisor : Dr Nelarine Cornelius ; Second supervisor : Professor Adrian Woods
Study of Inverse Association BetweenIntercellular Adhesion and Malignant Cell Propagation in Gall bladder Carcinoma-ImmunohistochemicalStudy of E-Cadherin and Autocrine Motility Factor Receptor

Though incidence of Gall bladder carcinoma is most common biliary tract cancers, nonspecific presenting symptom, late detection of the disease add to the dismal prognosis We tried to find association between intercellular adhesion and propagation of cancer cell in Adenocarcinoma of Gall bladder. E-cadherin (ECAD) is the strongest intercellular adhesion molecule of epithelial cells and Autocrine Motility Factor (AMFR) is known propagator of cancer cell. In retrospective study, Weevaluated simultaneous immunohistochemical expression of these two molecules in 92 cases who were treated surgically byCholecystectomy with or without lymph node dissection.NormalGall bladder mucosa reacted strongly with ECAD and weakly with AMFR. With increasing dedifferentiation of the tumour, reversal manifestedmore aggressive grades showed varied expression in comparison to its less aggressive type. Gastric3 adenocarcinoma show weak ECAD (83% vs. 35%) and more AMFR ( 93.% vs. 35%)expression in comparison to Grade1.Weak ECAD and strong AMFR was also associated with increase in depth of tumour invasion. As ECAD and AMFR is at least partially responsible for varying histologic grade and behavioral pattern of Gall bladder adenocarcinoma, simultaneous evaluation of both parameters is helpful to understand pathway of progression of such cancer cell.
Analysis and evaluation of professional insertion determinants for academic education graduates-Private study : marketing specialization

The professional insertion is understood as a thematic research field, within the analysis of relations between education and the labor market. It covers not only the access to the workplace with all its characteristics and constraints, but also the performance dynamics and personal and professional satisfaction of the graduates of an education form, but also the recognition of their professional capacity by the employers. The professional insertion is a process that includes different “actors” (graduates, employers and trainers). For founding efficient macroeconomic strategies, in the developed countries, the professional insertion of the youth made the object of numerous researches and specialization studies through which we try to analyze the determinants of the transition routes of the youth from school to active life and to identify new means of training, adapted to a social environment continuously changing. Such a research, based on the stimulation of communication and exchange of relevant information between the academic education system, marketing specialization, and the labor market, for a correlation as efficient as possible of the requests and needs of the labor market with the objectives and results of the marketing educational offer, is currently performed in Romania by a pluridisciplinary team of 7 institutional units, under the coordination of the Academy of Economic Studies of Bucharest – the Faculty of Marketing. The authors of this report attend, either as managers/project responsibles, either as members of the mentioned pluridisciplinary research team. Our article approaches the distinct way regarding the direct research, through a pilot-poll, on a sample of master students, having as central objective knowing their perceptions regarding the capacity of the national educational system to prepare them for the requests of the labor market in marketing field. The paper is a synthesis of a study elaborated based on the CNMP project no. 92-103/ 2008, within Program 4 – “Partnerships in priority fields”.
The effect of warmth acclimation on thermoregulatory behaviour and thermal physiology

Public and commercial buildings tend to overheat and a lot of energy is consumed by air-conditioning and ventilation. However, many occupants remain unsatisfied with the thermal environment. Energy use is significantly influenced by thermoregulatory behaviour (TRB). In the present study, we hypothesize TRB can be affected by warmth acclimation. 12 young healthy men visited the laboratory for 9 consecutive days. TRB was assessed by a so-called SWITCH protocol (90min) before and after acclimation (7days, 6h/day, ~35 ̊C). During SWITCH, participants could freely choose between a warm (37 ̊C) and a cold (17 ̊) condition. TRB was determined by total amount of switches and time spent in a specific condition. Mean skin temperature (14 ISO-defined spots) was measured to indicate behavioural thresholds. After acclimation, the upper critical behaviour threshold (UCBT) of the mean skin temperature significantly increased from 35.17±0.61 ̊C to 35.54±0.47 ̊C (P=0.050). Moreover, the range of mean skin temperatures at which no behaviour occurred (thermoregulatory behaviour neutral zone, TBNZ) significantly widened from 3.63±0.65 to 4.16±0.57 (P=0.027). The total amount of switches tended to decrease (P=0.059). Time spent in the respective conditions remained unchanged. The present study is the first one to show prolonged passive exposure to warmth without exercise extends the behavioural threshold.
THE MACROECONOMIC RELATIONS OF ADVERTISING EXPENDITURE: AN ANALYSIS OF CENTRAL AND EASTERN EUROPEAN COUNTRIES

This paper gives an overview of the macroeconomic relations of advertising expenditure. The paper critically reviews studies about how aggregate advertising expenditure is related to aggregate consumption, economic growth and economic cycles. The cause-and-effect relation between aggregate advertising expenditure and aggregate consumption is not clear. However, a change in advertising expenditure can serve as an indicator at the macro level. Further, the aggregate advertising expenditure of thirteen Central and Eastern European countries (CEECs) is analysed between 2006 and 2011, emphasizing the effect of the economic crisis that started in 2008. According to the findings, an unambiguous relationship between aggregate advertising expenditure and macroeconomic factors cannot be confirmed. However, investigating four CEECs in the longer term, almost all relations are significant. JEL Classification: E21, E32, M37
TeorÌa y Pr·ctica enla EvaluaciÛn de Productos de Software .

CONTEXTO Esta investigacion forma parte del Proyecto MyFEPS (Metodologias y Framework para la Evaluacion de Productos de Software), en desarrollo en la Facultad de Tecnologia Informatica de la Universidad de Belgrano, cuyo proposito es disenar e implementar un framework para ayudar a ingenieros y gerentes en todo el proceso de evaluacion de software , desde la planificacion hasta la presentacion de los resultados.
Application value of ADC in the diagnosis of lipid-containing small hepatocellular carcinoma with different histopathologic grades

This study aimed to explore the application value of ADC on DWI imaging in the diagnosis of lipid-containing small hepatocellular carcinoma (HCC) with different histopathologic grades and the correlation of ADC with histopathologic differentiation. Retrospective analysis included 78 cases of hepatocellular lesions of lipidcontaining small HCC, which were confirmed by pathological examination, were retrospectively reviewed, and all patients underwent preoperative MR, including conventional scanning DWI sequence and dual-echo in-phrase and opposed-phrase sequence. Then they were divided into well-differentiated group, moderately differentiated group, and poorly differentiated group according to pathologic results after surgery, following measurement of the ADC values of preoperative lesions in the three groups respectively. Statistical analysis was performed by using SPSS 17.0. Quantitative data of single group with normal distribution and homogeneity of variance was performed by analysis of variance (ANOVA). Independent samples t-test was applied to pairwise comparisons, while Spearman rank correlation analysis was used to assess the correlation of ADC values with HCC differentiation. The results of ADC measurement revealed that the mean ADC value of lipid-containing small HCC in the poorly differentiated group, moderately differentiated group, and well-differentiated group was approximately (0.96±0.03)×10(-3) mm/s, (1.14±0.09)×10(-3) mm/s, (1.43±0.04)×10(-3) mm/s, respectively. There was significant difference between poorly differentiated group and moderately differentiated group, as well as between poorly differentiated group and well-differentiated group (P<0.05), while there was no significant difference between well-differentiated group and moderately differentiated group (P>0.05). Meanwhile, there was moderately positive correlation between ADC value and pathological grade of lipid-containing small HCC (P=0.002, r=0.419) and the relevant coefficient was 0.95. Taken together, ADC value can distinguish different pathological grades of lipid-containing small HCC, and there is moderately positive correlation between ADC value and pathological grade.
Detection and Classification of Brain Tumors by Analyzing Images from MRI Using the Support Vector Machines (SVM) Algorithm

The brain tumor is consisted of a series of cells that grow and multiply in the brain. Brain tumors are commonly malicious because they take up the brains space which should be occupied by the tissues that play a crucial role in the vital functions of the human body. Magnetic Resonance Imaging (MRI) is a key element in cancer diagnostic and therapeutic research and clinical practice. Unlike other methods of imaging which mainly use ionizing rays, MRI, which is a more preferable method of imaging, uses a magnetic field for that purpose. In this research, we try to find the number, size, and position of the tumor by processing the MRI image under the SVM algorithm in MATLAB. We choose MATLAB over other suggested methods because it is much more accessible, to a great extent faster than other methods, and more user-friendly for academic and education purposes which makes is a better option for beginners.
Focus On Tamoxifen: using pharmacogenetics to rediscover an old drug

Tamoxifen can be considered a classic ‘pro-drug’, requiring metabolic activation to elicit pharmacological activity. Our findings suggest that both genetic and drug-induced factors that alter CYP2D6 enzyme activity influence the clinical response to tamoxifen. Given the small differences in disease-free survival comparing tamoxifen to third-generation aromatase inhibitors, knowledge of the genetic and environmental factors that influence CYP2D6 enzyme activity may provide a robust tool to individualize the hormonal therapy to breast cancer.
Neighborhood-Level Predictors of Obesity Among African American Children in California

The increased prevalence of childhood obesity is a major public health concern nationally and globally. Childhood obesity is primarily caused by the imbalance between caloric intake and caloric expenditure; however, its increase over the past decades may be due to environmental and behavioral factors. The purpose of the current study was to examine if any relationships existed between childhood obesity, level of physical activity, and neighborhood-level risk factors. This study used the California Health Interview Survey 2009–2014 data sets for African American children aged 5–11 years (n = 1,049). The dependent variable was body mass index (BMI) while the predictors included physical activity, neighborhood, walkability, support, safety, and the presence of parks. Potential confounds were gender and parental education level. Chi-square tests were used to evaluate the associations between BMI and age, educational attainment, neighborhood walkability, physical activity, built environment, neighborhood support, and neighborhood safety. Multivariate logistic regression was used to assess the relationship between BMI and physical activity; parental educational level; presence of parks, playground, or open spaces; neighborhood walkability; neighborhood safety; neighborhood support; and gender while adjusting for other known risk factors. Low physical activity levels were a significant risk factor for increased obesity. No associations were discovered between childhood obesity and neighborhood safety; parental educational level; presence of parks, playgrounds, or open spaces; neighborhood walkability; neighborhood safety; neighborhood support; and gender. This study reinforces the relationship between environmental policy and physical activity.
THE LYNCH 002 LUNAR METEORITE REVISITED

Introduction: Lunar meteorite Lynch 002 was discovered in Western Australia in 2010 [1]. Only two abstracts providing general petrography and bulk O isotope data [1] and bulk/trace element neutron activation data [2] have been published to date about this sample. Here, we present preliminary data from a more comprehensive study of Lynch 002. Lynch 002 is a fine-grained, complex regolith breccia that has experienced some terrestrial alteration [1,2]. Based on the fine grain size and the presence of glass spherules and agglutinates [1], it likely formed from relatively mature regolith. Korotev [2] noted that it is rich in Fe for a brecciated meteorite (~9 wt.%) and unusually rich in light rare earth elements. Lynch 002 contains many lithic fragments including mare basalts, KREEP-rich material, and feldspathic material, as well as remnants of pyroxferroite [1]. Other important features of Lynch 002 include melt veins cutting through the sample, and cracks infilled by terrestrial carbonate [1]. For this work we focus primarily on the basaltic clasts, but mineral fragments are also abundant [1]. Mare basalt clasts: Lynch 002 contains several basalt fragments with a variety of sizes and textures. All are small (< ~500 m). We report preliminary mineralogical data from eight mare basalt clasts (Lithics 1, 4, 5, 8, 11, 12, 20, and 33) here. These basalts range in size from ~100 to ~500 m. Most have subophitic textures with strongly zoned pyroxenes, although another fragment (Lithic 12, Fig. 1B) has an olivine phyric texture (though this could be a recrystallized impact melt). Grain sizes vary from 100+ m long in Lithic 1 and 11 (Fig. 1C, D), to < 20m in Lithics 5 and 12. Lithic 1 is unusual in that about ~20 % of the clast consists of elongate silica grains (Fig. 1C), though silica is found in several of the other basalt fragments. High Z phases include ilmenite and FeS. Mare basalt chemistry. All basaltic clasts found in Lynch 002 so far contain strongly zoned pyroxenes (e.g. En72Fs22Wo6 to En20Fs59Wo21 in Lithic 4). Fig. 2 shows the compositions of pyroxene from 7 basaltic clasts on the pyroxene quadrilateral. Lithic 5 is the most magnesian and has a more limited range of Fe than the other clasts. Olivine in Lithic 12 is Mg-rich (Fo82-86), but data are lacking for the Fe-rich rims. Lunar basalts are classified by bulk TiO2 abundance. We can classify the basalts found in Lynch 002 by comparing the molar Fe/(Mg+Fe) versus molar Ti/(Ti+Cr) of their pyroxenes with similar data from Apollo basalts, after [3-5]. The results are shown on Fig. 3. All of the basaltic clasts identified so far in Lynch 002 plot in the low-Ti field or between the lowTi and very low Ti (VLT) fields.