Miracle-dz/UniFAR-FTUs huggingface dataset:
Modulation of Gene Expression in Liver of Hibernating Asiatic Toads (Bufo gargarizans)

Hibernation is an effective energy conservation strategy that has been widely adopted by animals to cope with unpredictable environmental conditions. The liver, in particular, plays an important role in adaptive metabolic adjustment during hibernation. Mammalian studies have revealed that many genes involved in metabolism are differentially expressed during the hibernation period. However, the differentiation in global gene expression between active and torpid states in amphibians remains largely unknown. We analyzed gene expression in the liver of active and torpid Asiatic toads (Bufo gargarizans) using RNA-sequencing. In addition, we evaluated the differential expression of genes between females and males. A total of 1399 genes were identified as differentially expressed between active and torpid females. Of these, the expressions of 395 genes were significantly elevated in torpid females and involved genes responding to stresses, as well as contractile proteins. The expression of 1004 genes were significantly down-regulated in torpid females, most which were involved in metabolic depression and shifts in the energy utilization. Of the 715 differentially expressed genes between active and torpid males, 337 were up-regulated and 378 down-regulated. A total of 695 genes were differentially expressed between active females and males, of which 655 genes were significantly down-regulated in males. Similarly, 374 differentially expressed genes were identified between torpid females and males, with the expression of 252 genes (mostly contractile proteins) being significantly down-regulated in males. Our findings suggest that expression of many genes in the liver of B. gargarizans are down-regulated during hibernation. Furthermore, there are marked sex differences in the levels of gene expression, with females showing elevated levels of gene expression as compared to males, as well as more marked down-regulation of gene-expression in torpid males than females.
Self-Evolving Trading Strategy Integrating Internet of Things and Big Data

In the era of Internet of Things (IoT) and big data, data has increased dramatically. Computers have been used in various fields. Algorithmic trading is beginning to develop rapidly in the trading market, more and more algorithms begin to be used in the transaction market. As a form of machine learning, neural network can fully reveal the complex trading market. Based on the characteristics of commodity futures market, this paper chooses back propagation neural network to establish price forecasting model. And then, according to the rules of futures market, a self-evolving commodity futures trading strategy is proposed. We also use the data of the Shanghai Futures Exchange and the Dalian Futures Exchange to back-testing the strategy. Finally, we compare the proposed strategies and traditional strategies, and illustrate the evolution of our strategy. Experiments show that our strategies are superior to other compared strategies in the proposed evaluation indicator. Our strategy has a good performance both in yield and risk. It also proves the feasibility of the model and the strategy. The research of this paper is significant to the research of the futures market, and it also provides a new idea for the application of machine learning in algorithmic trading.
2 Runtime V o lume Visualiza tio n for Parallel C F D

This paper discusses some aspects of the design of a data distributed, massively parallel volume rendering library for runtime visualization of parallel computational fluid dynamics simulations in a message-passing environment. Unlike the traditional scheme in which visualization is a postprocessing step, the rendering is done in place on each node processor. Computational scientists who run large-scale simulations on a massively parallel computer can thus perform interactive monitoring of their simulations. The current library provides an interface to handle volume data on rectilinear grids. The same design principles can be generalized to handle other types of grids. For demonstration, we run a parallel NavierStokes solver making use of this rendering library on the Intel Paragon XP/S. The interactive visual response achieved is found to be very useful. Performance studies show that the parallel rendering process is scalable with the size of the simulation as well as with the parallel computer. tThis research was supported by the National Aeronautics and Space Administration under NASA contract NAS1-19480 while the author was in residence at the Institute for Computer Applications in Science and Engineering (ICASE), NASA Langley Research Center, Hampton, VA 23681-0001.
Sunflower response to mineral nitrogen, organic and bio-fertilizers under two different levels of salinity

This investigation was carried out during the two summer growing seasons of 2005 and 2006 at two locations in the north-east of the delta of Egypt. The first site (S1) is characterized by a good clay soil with fresh irrigated water while the second site (S2) has a salt-affected soil and is irrigated with a mixture of fresh and drained water. Two open pollinated cultivars of sunflower (Sakha 53 and Giza 102) were used. Seven different packages of the combinations of bio (cerealin), organic and mineral nitrogen fertilizers were used as follows: T1 is the recommended chemical nitrogen fertilize (45 Kg N/fad) (fad= Faddan = 4,200 m), T2 (1/2 N +30 m/fad of organic fertilizer) , T3 (bio fertilizer + 1/2 T1), T4 (bio fertilizer + 30 m /fad organic fertilizer + 1/2 of T1), T5 (bio fertilizer + 30 m/fad organic fertilizer + 1/4 of T1), T6 (30 m /fad of organic fertilizer + 1/2 of T1) and T7 (bio fertilizer + 30 m /fad organic fertilizer). The results obtained showed that the application of farmyard manure in T4 has increased yield and yield component traits compared with the control treatment at S1 location. Head diameter, number of seeds per head, 100 seed weight, seed yield per plant and seed yield per plot were increased by 3.4, 13.4, 4.7, 12.8 and 16.8%, respectively, compared with the control treatment. T5 recorded the next rate of increase for the same traits by 2.2, 5.8, 5.8, 8.7 and 11.2%, respectively. The application of mineral nitrogen or organic manure has increased protein content in the good soil, while the mineral nitrogen alone (45kg N/fad) surpassed all other treatment in the salt-affected soil.
Extreme Thinned-Wafer Bonding Using Low Temperature Curable Polyimide for Advanced Wafer Level Integrations

Extreme thinned wafer transfer technologies have been demonstrated by combining a selected set of temporary and permanent bonding materials. The extreme thinning was performed on the backside of a top wafer bonded on carrier wafer with the temporary glue material, subsequently followed by grinding, polishing and plasma dry etching to a final thickness of 5 µm. The properties of the temporary adhesive have been selected to be compatible with a permanent thermocompression bond of the extreme thin wafer to a final target substrate. Thus, the high thermal deformation resistance of the temporary adhesive is key. As we are dealing with extremely thin substrate, the required process uniformity and total thickness variation of each material are crucial. Hence after the spin-coating, the permanent bond polymer was planarized by a surface planer process. The performance benefit brought by this process and the final transfer steps will also be discussed.
RECYCLABLE COMPOSITE FOR EFFICIENT NITRATE REMOVAL AND ITS APPLICATION INTO ENVIRONMENTAL WATER SAMPLES

High nitrate concentrations in surface water bodies can pose a threat to human health. To reduce nitrate concentration in aqueous bodies, a hybrid composite adsorbent was prepared and characterized using FTIR and SEM analysis. The absorptive properties of the prepared hybrid composite towards nitrate removal was investigated using fixed bed mode in terms bed height, flow rate and initial nitrate concentration effects. Different breakthrough curves were applied using Thomas, Adams-Bohart, and YoonNelson dynamic models to find out the best model describing the adsorption dynamics in fixed column. Three environmental samples from King Abdulaziz University Wastewater treatment plant, Jeddah Lake and Red sea near Jeddah coast, were used as representations for wastewater, brackish water and saline water, to validate the ability of the prepared hybrid composite to remove the nitrate ions from aquatic bodies.
USE OF 3 0-DEOXY-3 0-[ 18 F ] FLUOROTHYMIDINE PET / CT FOR EVALUATING RESPONSE TO CYTOTOXIC CHEMOTHERAPY IN DOGS WITH NON-HODGKIN ’ S LYMPHOMA

Imaging and measurement of proliferation with computed tomography (CT) and positron emission tomography (PET) provide a noninvasive method for improved staging and monitoring of response to cancer treatment. We evaluated prospectively the proliferation marker 30-deoxy-30[F] fluorothymidine (FLT) in the context of FLTPET/CT for detection of early response, confirmation of posttreatment response, and prediction of relapse in dogs with non-Hodgkin’s lymphoma. Nine dogs with non-Hodgkin’s lymphoma who were scheduled to receive five cycles of an investigational cytotoxic chemotherapy agent were included. All dogs received baseline FLTPET/CT imaging immediately before chemotherapy. Intent was to repeat imaging with FLT-PET/CT at various time points: group 1 (n1⁄4 4), 5 days after initiation of chemotherapy and 3 weeks following the last chemotherapy administration; group 2 (n1⁄4 5), before the fourth cycle of chemotherapy and 3 weeks following the last administration. Two dogs in group 2 did not undergo repeat PET/CT. Body mass standardized uptake values (SUV) for FLT were calculated for each dog. Eight dogs had initially increased FLT uptake (mean SUVmax1⁄4 9.8 [2.6–22.3]). Mean SUV decreased significantly for the seven dogs that underwent follow-up PET/CT following chemotherapy (mean SUVmax1⁄4 3.5 [1.1–7.9], Po0.016). Increased uptake preceded clinical and cytological evidence of relapse in two dogs. Ki-67 immunohistochemistry confirmed decreased proliferation corresponding to decreased SUV in three canine lymph node samples. FLT-PET/CT functional and anatomical imaging shows promise for the evaluation of response to cytotoxic chemotherapy in dogs with nonHodgkin’s lymphoma and for predicting relapse before standard clinical and clinicopathologic confirmation. Veterinary Radiology & Ultrasound, Vol. 50, No. 6, 2009, pp 660–668.
observational study use in children and young adults with Autism Spectrum Disorder : An ® iPad

This exploratory study was conducted to describe how children and young adults with autism spectrum disorder (ASD) are currently using iPads® and applications, to explore the role of education professionals on iPad® and application use, and to determine potential research needs regarding iPad® use in children with ASD. Naturalistic observations were conducted on six individuals (ages 6;6 to 20;8) with ASD while they were using iPads® in their school environment. The data suggest that (1) the participants used iPads® and applications for a variety of purposes, (2) there was considerable variability regarding whether or not the application was used consistent with its intended function, and (3) the presence of an education professional and the type of application impacted the variability in functional use of the application. Pertinent lines of research that are needed to expand the base of evidence regarding effective iPad® use in children with ASD are discussed.
Single-Image Super-Resolution Using Compressive Sensing

This paper proposes a novel algorithm that unifies the fields of compressed sensing and sparse representations to generate a super-resolution image from a single, low-resolution input along with the use of a training data set. Super-resolution image reconstruction is currently an active area of research, as it offers the promise of overcoming some of the inherent resolution limitations of the imaging systems. In this paper, superresolution has been achieved by exploiting the fact that the image data is highly sparse over some redundant transforms. Inspired by this observation, we seek a sparse representation for each patch of the low-resolution image, and then use the coefficients of this representation to generate the high-resolution image. The sparsifying dictionary is learned with the use of a training data set that has been obtained from a collection of high resolution images, to generate a global dictionary. The results clearly demonstrate the efficacy of the compressive sensing in image reconstruction. When compared with two of the very popular interpolation based techniques, the proposed method shows much better results, both visually and quantitatively. Keywords— Compressed sensing, sparse representation, dictionary, single image super-resolution, matching pursuit
Efficient Analysis of Multiple Microstrip Transmission Lines With Anisotropic Substrates

Our aim with this letter is to exhibit the extension of discrete mode-matching method to analyze multilayered microstrip transmission lines with anisotropic dielectric layers. The mathematical formulation is presented to deal with multilayered structures with metallizations in the interfaces. The application is demonstrated by computing propagation constant and characteristic impedance for multilayered microstrip and two-layer coplanar waveguide with uniaxial anisotropic dielectric. The validation of the results has been done by comparing with simulations with ANSYS HFSS and some of them also with open literature. A very good agreement has been observed.
Intermediate Task Model Intermediate Task Output BERT Input Text Intermediate Task Model Intermediate Task Output ELMo BiLSTM Input Text Target Task Model Target Task Output Intermediate Task-Trained BERT Input Text Pretraining Task Model Pretraining Task Output BiLSTM

Natural language understanding has recently seen a surge of progress with the use of sentence encoders like ELMo (Peters et al., 2018a) and BERT (Devlin et al., 2019) which are pretrained on variants of language modeling. We conduct the first large-scale systematic study of candidate pretraining tasks, comparing 19 different tasks both as alternatives and complements to language modeling. Our primary results support the use language modeling, especially when combined with pretraining on additional labeled-data tasks. However, our results are mixed across pretraining tasks and show some concerning trends: In ELMo’s pretrain-then-freeze paradigm, random baselines are worryingly strong and results vary strikingly across target tasks. In addition, fine-tuning BERT on an intermediate task often negatively impacts downstream transfer. In a more positive trend, we see modest gains from multitask training, suggesting the development of more sophisticated multitask and transfer learning techniques as an avenue for further research.
The importance of hypoalbuminemia in peritoneal dialysis patients: Impact of gender.

BACKGROUND High mortality in peritoneal dialysis (PD) patients is associated with the presence of nontraditional cardiovascular risk factors, such as malnutrition. However, hypoalbuminemia in patients undergoing PD may have gender-dependent consequences. OBJECTIVES The aim of the study was to evaluate the relationship between hypoalbuminemia, overhydration (OH), inflammation, and cardiovascular risk, depending on gender. MATERIAL AND METHODS The group studied consisted of 54 PD patients: 26 male (mean age: 59 ±19 years) and 28 female (mean age: 52 ±15 years) patients. Serum albumin levels were measured routinely by the hospital central laboratory. The degree of OH was assessed by bioelectrical impedance analysis (BIA). Serum concentrations of C-reactive protein (CRP) and interleukin (IL)-6 were measured as inflammatory markers. Levels of N-terminal prohormone of brain natriuretic peptide (NT-proBNP) and troponin T (TnT) were used to assess cardiovascular risk. RESULTS Median serum albumin concentration was 3.9 g/dL (3.6-4.2 g/dL). Both genders were comparable regarding most parameters except body weight (79 ±16 kg vs 67 ±16 kg; p = 0.009), but no differences were observed in body mass index (BMI) (26.3 ±5.0 kg/m2 vs 26.2 ±5.9 kg/m2; non significant (NS)). There was also no difference in the prevalence of hypoalbuminemia between female and male PD patients (23% vs 21%; NS). In females, low serum albumin concentrations were associated with OH, inflammation and cardiovascular risk, while in males serum albumin levels correlated with the parameters of dialysis and cardiovascular risk. CONCLUSIONS The impact of hypoalbuminemia may be gender-dependent. It seems that hypoalbuminemia is more important for female patients. It is also possible that different mechanisms regulate serum albumin concentration in female and male PD patients.
Feasibility of Wrist-Worn, Real-Time Hand, and Surface Gesture Recognition via sEMG and IMU Sensing

While most wearable gesture recognition approaches focus on the forearm or fingers, the wrist may be a more suitable location for practical use. We present the design and validation of a real-time gesture recognition wristband based on surface electromyography and inertial measurement unit sensing fusion, which can recognize 8 air gestures and 4 surface gestures with 2 distinct force levels. Ten healthy subjects performed an initial gesture recognition experiment, followed by a second experiment 1 h later and a third experiment 1 day later. Classification accuracies for the initial experiment were 92.6% and 88.8% for air and surface gestures, respectively, and there were no changes in accuracy results during testing 1 h. and 1 day later (<inline-formula><tex-math notation="LaTeX"> $p$</tex-math></inline-formula> <inline-formula><tex-math notation="LaTeX">$>$</tex-math></inline-formula> 0.05). These results demonstrate the feasibility of wrist-based gesture recognition paving the way for potential future integration in to a smart watch or other wrist-worn wearable for intuitive human computer interaction.
Local decodability of the Burrows-Wheeler transform

The Burrows-Wheeler Transform (BWT) is among the most influential discoveries in text compression and DNA storage. It is a reversible preprocessing step that rearranges an n-letter string into runs of identical characters (by exploiting context regularities), resulting in highly compressible strings, and is the basis of the bzip compression program. Alas, the decoding process of BWT is inherently sequential and requires Ω(n) time even to retrieve a single character. We study the succinct data structure problem of locally decoding short substrings of a given text under its compressed BWT, i.e., with small additive redundancy r over the Move-To-Front (bzip) compression. The celebrated BWT-based FM-index (FOCS ’00), as well as other related literature, yield a trade-off of r=Õ(n/√t) bits, when a single character is to be decoded in O(t) time. We give a near-quadratic improvement r=Õ(nlg(t)/t). As a by-product, we obtain an exponential (in t) improvement on the redundancy of the FM-index for counting pattern-matches on compressed text. In the interesting regime where the text compresses to o(n) (say, n/polylg(n)) bits, these results provide an exp(t) overall space reduction. For the local decoding problem of BWT, we also prove an Ω(n/t2) cell-probe lower bound for “symmetric” data structures. We achieve our main result by designing a compressed partial-sums (Rank) data structure over BWT. The key component is a locally-decodable Move-to-Front (MTF) code: with only O(1) extra bits per block of length nΩ(1), the decoding time of a single character can be decreased from Ω(n) to O(lgn). This result is of independent interest in algorithmic information theory.
PROTECTIVE EFFECT OF RUTIN ON ANTIOXIDANT DEFENSE SYSTEM AND OXIDATIVE STRESS IN ERYTHROCYTES AND BRAIN TISSUE OF PIRIMIPHOS METHYL INTOXICATED RATS

The present research aimed to evaluate the ameliorating effect of Rutin as natural antioxidant on oxidative stress induced in experimental rats exposed to chronic toxicity with Pirimiphos methyl (POM), as one of organophosphorous pesticides widely used in the Middle East, through evaluation of erythrocytes and brain biomarkers. The rats were divided into four equal groups. 1) Control Normal group (C): received no drugs. 2) POM group (P): received single oral dose of POM (50 mg/ Kg b.w) daily for 3 months. 3) Rutin group (R): received single dose of Rutin (45 mg/ Kg b.w) per os daily for 3 months. 4) Rutin + POM group (R + P): received single dose of POM (50 mg/ Kg b.w) + rutin (45 mg/ Kg b.w) orally daily for 3 months. Blood and brain samples were collected from all animal groups three times at one, two and three months from the onset of experiment and used for determination of erythrocytes and brain antioxidant enzyme activities, reduced glutathione (GSH), lipid peroxides (MDA), in addition to serum nitric oxide (NO) and ceruloplasmin. (POM) induced a significant decrease in erythrocytes and brain AChE, CAT, GSH, erythrocytes GPx, GR and GST activities, and a marked increase in erythrocytes SOD, serum GGT activities and ceruloplasmin concenteration. Also a significant increase in erythrocytes and brain MDA and serum NO level were observed. Rutin administration to POM intoxicated rats was able to counter act the oxidative stress induced by POM through the significant increase in the activities of erythrocytes and brain CAT, GSH, erythrocytes GPx, GR and GST activities. In addition, a marked decrease in erythrocytes and brain MDA and serum NO level were observed. The results of the present study suggest that rutin has the potential to exert a protective effect against oxidative stress induced by organophosphorous pesticides.
EMOTIONAL MATURITY OF ADOLESCENTS IN RELATION TO TH EIR GENDER

editor@tjprc.org EMOTIONAL MATURITY OF ADOLESCENTS IN RELATION TO TH EIR GENDER KRISHNA DUHAN , ANUSHA PUNIA & PARMINDER JEET 3 Principal Scientist and Head, Department of Human D evelopment and Family Studies College of Home Science, CCS HAU, HISAR , Haryana, India Research Scholar, Department of Human Development a nd F mily Studies College of Home Science, CCS HAU, HISAR, Harya n , India ABSTRACT
Productivity Determinants in the Manufacturing Sector in Ethiopia: Evidence from the Textile and Garment Industries

The study aims at exploring the determinants of productivity using a census data of medium and large firms in the textile and garment industries in Ethiopia. The study reveals that labour and material inputs drive firm level outputs while the elasticity of output to capital input is weak. This could be due to the labour and material intensive nature of the textile and garment sector. Moreover, the analysis uncovers that human capital, agglomeration effects, and incentive systems to be core drivers of productivity. To overcome endogeneity caused by potential simultaneous determination productivity shocks and labour input, the Levishom-Petrin estimator was used on two-year panel-data constructed using a recall data for 2015. The cross-sectional and panel data estimators yield qualitatively similar results in our study.