Miracle-dz/UniFAR-FTUs huggingface dataset:
Ulnar Collateral Ligament Reconstruction: Allograft Versus Autograft – A Systematic Review

Background: Ulnar Collateral Ligament (UCL) reconstruction of the elbow, a Tommy John surgery, is a common procedure often performed in throwing athletes. Autograft tendon has traditionally been utilized, although recently allograft tendon has been of interest due to the possibility of decreasing donor site morbidity. There is a lack of literature on patient outcomes and complication rates following the use of allograft tendon for UCL reconstruction. Currently, there is no consensus on utilizing autograft versus allograft tendon for UCL reconstruction. Methods: A PRISMA compliant literature search in online databases Medline, Cochrane and Embase was performed for level 4 and higher studies through June 2019. Any studies reporting clinical outcome results of allograft reconstruction were included. Exclusion criteria included studies unrelated to primary UCL reconstruction, studies specifically looking at revision UCL reconstruction, epidemiological studies, case reports, studies lacking raw data, technique articles, biomechanical studies, cadaveric studies, studies with outcomes unrelated to graft choice, and studies with outcomes unrelated to the use of allograft tendon for reconstruction. Studies were analyzed for graft type, functional scores, return to play rate, and complication rates. Results: Three out of 103 studies met inclusion criteria. Two cohort studies and 1 retrospective review were included in this review. No significant differences in functional outcomes regardless of scoring system utilized, return to play rate, or complication rates were found between allograft versus autograft. Conclusion: The use of allograft tendon appears to have similar outcomes regarding functional scores, return to play, and complication rates compared to autograft tendon. Use of allograft tendon seems to be a viable option for UCL reconstruction, though further studies are needed.
Analytical & Bioanalytical Techniques Examination of the Elemental Composition of Hair in Cholelithiasis, Kidney Stone, Hypertension and Diabetes by Scanning Electron Microscopy and Energy Dispersive Spectrometry SEM/EDS

The aim of this paper was to find some connections between elemental composition of human hair and such ill- nesses as kidney stone, cholelithiasis, hypertension and diabetes to assess whether hair could be a reliable marker of the above mentioned health problems. The elements were identified by Scanning Electron Microscopy and Energy Dispersive Spectrometry SEM/EDS. Elemental profiles were determined in hair from 43 patients and 32 controls. The hair samples were at the anagen phase. Results indicated the content variation along the entire length of the hair in the bulb through the root to the hair follicle and the shaft. Measurements were made at these anatomical regions. Special attention was devoted to the bulb part for which characteristic EDS spectra were illustrated for the examined illnesses.
Chest X-ray scanning based detection of COVID-19 using deepconvolutional neural network

Everyone’s life on earth influenced by a global coronavirus outbreak COVID- 19. Two regular practices, pathology tests, and Computer Tomography (CT) scan used to diagnose COVID-19. Pathology tests produce a considerable amount of false-positives & are time-consuming, whereas CT scans tests are costly and require expert advice. Hence, the main aim of this work is to develop a fast, accurate, and low-cost diagnostic system for detection of COVID-19 using inexpensive chest X-rays and the modern Deep Convolutional Neural Network(CNN) approach to assist medical professionals. In this study, two pre-trained CNN models (VGG16 and InceptionV3) are evaluated by several experiments using data augmentations. The analysis is based on 2905 images of chest X-rays with 219 confirmed positive COVID-19 and 1345 positive pneumonia cases taken from the open-source database consisting of patients suffering from the COVID-19 disease. Since a database consists of multiple types of diseases, multiclass classification for diagnosis of COVID-19 is used. The InceptionV3 model provides the highest classification accuracy (99.35% and 98.29%) for two binary classifications (normal vs. COVID-19 and COVID- 19 vs. Pneumonia) compare to VGG16 model’s accuracy (97.71% and 96.27%). Whereas, VGG16 provides highest accuracy (98.84%)for multiclass-classification(normal vs COVID- 19 vs pneumonia) as compared to VGG16 model’s accuracy(96.35%).
Variants of (cid:2) -Lactamase KPC-2 That Are Resistant to Inhibition by Avibactam

KPC-2 is the most prevalent class A carbapenemase in the world. Previously, KPC-2 was shown to hydrolyze the (cid:2) -lactamase inhibitors clavulanic acid, sulbactam, and tazobactam. In addition, substitutions at amino acid position R220 in the KPC-2 (cid:2) -lactamase increased resistance to clavulanic acid. A novel bridged diazabicyclooctane (DBO) non- (cid:2) -lactam (cid:2) -lactamase inhibitor, avibactam, was shown to inactivate the KPC-2 (cid:2) -lactamase. To better understand the mechanistic basis for inhibition of KPC-2 by avibactam, we tested the potency of ampicillin-avibactam and ceftazidime-avibactam against engineered variants of the KPC-2 (cid:2) -lactamase that possessed single amino acid substitutions at important sites (i.e., Ambler positions 69, 130, 234, 220, and 276) that were previously shown to confer inhibitor resistance in TEM and SHV (cid:2) -lactamases. To this end, we performed susceptibility testing, biochemical assays, and molecular modeling. Escherichia coli DH10B carrying KPC-2 (cid:2) -lactamase variants with the substitutions S130G, K234R, and R220M demonstrated elevated MICs for only the ampicillin-avibactam combinations (e.g., 512, 64, and 32 mg/liter, respectively, versus the MICs for wild-type KPC-2 at 2 to 8 mg/liter). Steady-state kinetics revealed that the S130G variant of KPC-2 resisted inactivation by avibactam; the k 2 / K ratio was signiﬁcantly lowered 4 logs for the S130G variant from the ratio for the wild-type enzyme (21,580 M (cid:3) 1 s (cid:3) 1 to 1.2 M (cid:3) 1 s (cid:3) 1 ). Molecular modeling and molecular dynamics simulations suggested that the mobility of K73 and its ability to activate S70 (i.e., function as a general base) may be impaired in the S130G variant of KPC-2, thereby explaining the slowed acylation. Moreover, we also advance the idea that the protonation of the sulfate nitrogen of avibactam may be slowed in the S130G variant, as S130 is the likely proton donor and another residue, possibly K234, must compensate. Our ﬁndings show that residues S130 as well as K234 and R220 contribute signiﬁcantly to the mechanism of avibactam inactivation of KPC-2. Fortunately, the emergence of S130G, K234R, and R220M variants of KPC in the clinic should not result in failure of ceftazidime-avibactam, as the ceftazidime partner is potent against E. coli DH10B strains possessing all of these variants. carbonyl oriented toward the oxyanion hole), and the complexes between the enzyme and inhibitor were created, as previously described (18). To check the stability of the complexes, an 8-ps molecular dynamics simula-tion (MDS) was conducted for the KPC-2–avibactam and S130G-avibac-tam Michaelis-Menten and acyl enzyme complexes, as previously described (6). During the heating/cooling, equilibration, and the production stages of the MDS, a temperature of 300 K and a constant
Minireview Deciphering bacterial mechanisms of root colonization

Summary Bacterial colonization of the rhizosphere is critical for the establishment of plant – bacteria interactions that represent a key determinant of plant health and productivity. Plants in ﬂ uence bacterial colonization primarily through modulating the composition of their root exudates and mounting an innate immune response. The outcome is a horizontal ﬁ ltering of bacteria from the surrounding soil, resulting in a gra-dient of reduced bacterial diversity coupled with a higher degree of bacterial specialization towards the root. Bacteria – bacteria interactions (BBIs) are also prevalent in the rhizosphere, in ﬂ uencing bacterial persistence and root colonization through metabolic exchanges, secretion of antimicrobial compounds and other processes. Traditionally, bacterial colonization has been examined under sterile laboratory conditions that mitigate the in ﬂ uence of BBIs. Using simpli ﬁ ed synthetic bacterial communities combined with micro ﬂ uidic imaging platforms and transposon mutagenesis screening approaches, we are now able to begin unravelling the molecular mechanisms at play during the early stages of root colonization. This review explores the current state of knowledge regarding bacterial root colonization and identi ﬁ es key tools for future exploration. et al . , 2020). Sequencing of bacteria extracted from pea nodules was used to accurately determine the identity and relative abundance of rhizobial strains present in each nodule. In addition to carrying a unique barcode, each strain used in this study encoded a green ﬂ uorescent protein expressed from the promoter of the nifHDK (nitrogenase) operon, per-mitting crude quanti ﬁ cation of N 2 ﬁ xation. The ability to screen for elite competitiveness in large libraries of bacterial strains while simultaneously monitoring the expression of a biochemical marker will be revolutionary for the high-throughput identi ﬁ cation of agricultural inoculants.
Preschool-Aged Children with Iron Deﬁciency Anemia Show Altered Affect and Behavior 1,2

This study compared social looking and response to novelty in preschool-aged children (47–68 mo) with or without iron deﬁciency anemia (IDA). Iron status of the participants from a low-income community in New Delhi, India, was based on venous hemoglobin, mean corpuscular volume, and red cell distribution width. Children’s social looking toward adults, affect, and wary or hesitant behavior in response to novelty were assessed in a semistructured paradigm during an in-home play observation. Affect and behavior were compared as a function of iron status: IDA ( n ¼ 74) vs. nonanemic ( n ¼ 164). Compared with nonanemic preschoolers, preschoolers with IDA displayed less social looking toward their mothers, moved close to their mothers more quickly, and were slower to display positive affect and touch novel toys for the ﬁrst time. These results indicate that IDA in the preschool period has affective and behavioral effects similar to those reported for IDA in infancy. J. Nutr. 137: 683–689, 2007.
Translational genomics: from genetic discovery to translational impact

Translational genomics can help catalyse the convergence of the digital and genomic revolutions with healthcare. Predicting disease risk by means of polygenic risk scores integrated with classical epidemiological risk factors can lead to better risk stratification and clinical decision-making. A deeper understanding of genome-wide sequence and association with well-characterised phenotypes can empower diagnosis. Better knowledge of disease progression trajectories can enable the development of prognostic markers and tailored interventions. Understanding modifiable and non-modifiable risk factors can lead to the design of prophylactic approaches. The identification of genetic factors important in disease development offers insights into aetiopathogenesis and can lead to therapeutic target discovery. Repositioning existing treatments that act on targets identified through genomics approaches but for different indications can accelerate the path to effective therapies. Finally, the discovery of markers for response to treatment can culminate in tailored disease management.
LESSONS FROM ARTERIAL WALL IMAGING TRIALS OF LIPID LOWERING

Recent findings The GLAGOV trial compared the effect of the PCSK9 inhibitor, evolocumab, and placebo on progression of coronary atherosclerosis in patients treated with at least moderate intensity statin therapy. Predictable lowering of LDL-C with evolocumab (36.6 versus 93.0 mg/dl) associated with significant regression of coronary atherosclerosis. A direct relationship was observed between achieved LDL-C levels and disease progression.
Comparitive Study on Secure Data Retrieval Framework for Military Networks

— In the immensely colossal number of outgrowing commercial environment each and everything depends on the other sources to transmit the data securely and maintain the data as well in the conventional medium. Portable nodes in military environments, for example, a front line or an antagonistic area are prone to experience the undergo of eccentric system network and frequent partitions. Disruption-tolerant network (DTN) innovations are getting to be fruitful results that sanction remote contrivance conveyed by officers to verbalize with one another and access the confidential data or secret data or summon dependably by abusing outside capacity nodes or storage nodes. Thus an incipient methodology is introduced to provide prosperous communication between each other as well as access the confidential information provided by some major ascendant entities like commander or other superiors. The methodology is called Disruption-Tolerant Network (DTN). This system provides efficient scenario for sanction policies and the policies update for secure data retrieval in most challenging cases. The most promising cryptographic solution is introduced to control the access issues called Cipher text Policy Attribute Predicated Encryption (CP-ABE). Some of the most challenging issues in this scenario are the enforcement of sanction policies and the policies update for secure data retrieval. Ciphertext - policy attribute-predicated encryption (CP-ABE) is a assuring cryptographic answer for the right to gain ingress control issues. However, the quandary of applying CP-ABE in decentralized DTNs introduces several security and privacy challenges with regard to the attribute revocation, key escrow, and coordination of attributes issued from different ascendant entities. In this paper, we propose a secure data retrieval scheme utilizing CP-ABE for decentralized DTNs where multiple key ascendant entities manage their attributes independently.We demonstrate how to apply the proposed mechanism to safely and proficiently deal with the relegated information dispersed in the Interruption or disruption tolerant network
Long-read Sequencing of Eukaryotic rDNA Operon from the Singapore Marine Straits

– High-throughput environmental DNA sequencing, also called metabarcoding, has largely contributed to the discovery and description of microbial communities worldwide, from humans to the deepest parts of our oceans. Metabarcoding today is limited to an amplicon sequence of approximately 600 base pairs. Although these short sequences contain enough taxonomic resolution, they have limited phylogenetic signal and can hide cryptic diversity. sequences
Sentiment Analysis of Covid-19 Tweets in India

-Sentiment analysis of data is done to identify the opinion or sentiment of people on topics of interest. It involves analyzing the various texts available as tweets, posts, reviews, feedback etc. Here we have made an attempt to analyze the tweets based on covid-19 virus. The tweets during the first week of April were analyzed in R to know the sentiment of people in India about the corona outbreak. The results showed that the people were more positive and not fearful about the pandemic.
Chronomorphic Programs: Runtime Diversity Prevents Exploits and Reconnaissance

—In Return Oriented Programming (ROP) attacks, a cyber attacker crafts an exploit from instruction sequences already contained in a running binary. ROP attacks are now used widely, bypassing many cyber defense mechanisms. While previous research has investigated software diversity and dynamic binary instrumentation for defending against ROP, many of these approaches incur large performance costs or are susceptible to Blind ROP attacks. We present a new approach that automatically rewrites potentially-vulnerable software binaries into chronomorphic binaries that change their in-memory instructions and layout repeatedly, at runtime. We describe our proof of concept implementation of this approach, discuss its security and safety properties, provide statistical analyses of runtime diversity and reduced ROP attack likelihood, and present empirical results that demonstrate the low performance overhead of actual chronomorphic binaries.
Human Capital and Determinants of Capital Structure: Empirical Evidence from Pakistan

: The purpose of this study is to examine the relationship between human capital, capital structure determinants and leverage. Since several decades, capital structure has remained a puzzle. This study will further provide a logical explanation towards the factors affecting capital structure. Different capital structure theories (i.e. trade-off theory and pecking order theory) have been reviewed to construct proposition. Our analysis consists of 176 non-financial Pakistani companies listed on Karachi Stock Exchange over the period of 2003-2012. This study tries to investigate capital structure with a different perspective by investigating its relationship with human capital. It has been seen that there is a significant and negative relation between capital structure and human capital. Size, profitability, non-debt tax shield, liquidity and human capital remained negatively significant, whereas tangibility, growth and risk insignificant.
Tsallis' thermostatitics, MOND theory and holographic considerations on a Machian Universe

Abstract MOND theory explains the rotation curves of the galaxies. Verlinde’s ideas establishes an entropicorigin for gravitational forces and Tsallis principle generalizes the theory of Boltzman-Gibbs. In thiswork we have promoted a connection between these recent approaches, that at ﬁrst sight seemedto have few or no points in common, using the Mach’s principle as the background. In this way wehave used Tsallis formalism to calculate the main parameters of the Machian Universe including theHubble parameter and the age of the Universe. After that, we have also obtained a new value forthe Tsallis parameter via Mach’s principle. Using Verlinde’s entropic gravity we have obtained newforms for MOND’s well established ingredients. Finally, based on the relations between particlesand bits obtained here, we have discussed the idea of bits entanglement in the holographic screen. PACS numbers: 04.50. -h, 05.20. -y, 05.90. +mKeywords: Models of Quantum Gravity, Cosmology of Theories beyond the SM
Insilco gene characterisation and Promoter analysis of drought inducible MYB gene from Eleucine coracana

Drought is a major abiotic factor that limits agricultural crop production and productivity. Plants experience drought stress either due to limited water supply to roots or when the transpiration rate becomes very high. These two conditions often coincide under arid and semi-arid climates. Plants such as millets, sorghum and maize which are native to such climate have acclimatized themselves in such a way that they can survive better. Finger millet is most important among them as it grows widely and is staple food of South Africa and many parts of Asia. It is nutritionally rich, contain high amount of calcium and good for diabetic patient due to low glycaemic index. Therefore, finger millet can be taken as a model plant for investigating the pathway underlying drought tolerance in plants. Present study was focussed on isolation of full length gene corresponding to the online publically available EcMYB gene partial transcript from the UGENE transcriptome data of Eleusine coracana and open reading frame was deduced from it. The protein BLAST results and the presence of DNA binding domain and helix turn helix domain ensured that the isolated full transcript was MYB gene from Eleusine coracana . In order to predict their ABA responses the ABRE (ABA Responsive Elements) was predicted in the promoter of MYB gene from Oryza sativa that was homologous to MYB gene in Finger millet with more than 80% identity. Thus EcMYB follows ABA dependent signalling pathways and accumulation of ABA in response to several abiotic stress is responsible for up and down regulation of several gene especially transcription factors which provide drought tolerance to plants.
EFFECT OF RUMINAL DEGRADABILITY OF CRUDE PROTEIN AND NON STRUCTURAL CARBOHYDRATES ON THE PERFORMANCE OF LACTATING GOATS: 1. SOME RUMEN FLUID PARAMETERS AND MICROBIAL ACTIVITIES

Twenty four lactating Zaraibi goats in mid lactation were used in a 2 x 2 factorial experimental design to evaluate two different sources of ruminally degradable non structural carbohydrates (high and low RDNSC) and two different sources of ruminally degradable protein (high and low RDP). Four experimental diets were formulated to study their effects on some rumen fluid parameters and microbial activities. The obtained results showed that high RDP as well as RDNSC gave significant (P<0.05) higher values of pH. A significant (P<0.05) reduction in NH 3 -N concentrations recorded with diets contained low RDP without significant differences due to RDNSC sources. No significant differences were noticed between VFA concentrations among the tested diets, except that contained high RDP with low RDNSC which gave the highest significant (P<0.05) value. It seems that the conditions in rumen environment from pH, NH 3 -N and VFA concentrations was favorable for coccid form bacteria to dominate the bacterial population and the bacterial growth (TBC or OD) which was clearly reflected on the enzymatic activities, since most enzymatic activities recorded for cellulolytic group. On the other hand, the gas volume measured was higher with amylolytic and proteolytic bacterial groups than cellulolytic ones indicating for the utilization of high RDNSC and low RDP in the rumen of experimental animals. This means that bacterial groups in the rumen utilized the tested sources of RDP and RDNSC in the manner that kept most nutrients to be utilized in the lower part of digestive system. This explanation could be reasonable since the results support the energy values of tested diets which showed the superiority of low RDP with high RDNSC containing diet. Microbial protein synthesis in the rumen fluid was significantly (P<0.05) affected by RDNSC more than RDP. The highest DNA, RNA and ON values were obtained when goats fed low RDNSC with high RDP. From the above mentioned results the present study came to the conclusion that feeding low RDP with high RDNSC would be of beneficial effect on rumen environment and its bacterial activities. Since the diet contained high RDP with low RDNSC tended to give better values of rumen parameters and bacterial activities as well as microbial protein synthesis it is recommended under similar experimental conditions to use soybean meal with corn to improve the nutritive value of diets for lactating goats.
Investigating Diversity in News Sources

Abstract The widespread use of social media is regarded by many as the emergence of a new highway for information and news sharing promising a new information-driven “social revolution”. In this paper, we analyze how this idea transfers to the news reporting domain. To analyze the role of social media in news reporting, we ask whether citizen journalists tend to create news or peddle (re-report) existing content. We introduce a framework for exploring divergence between news sources by providing multiple views on corpora in comparison. The results of our case study comparing Twitter and other news sources suggest that a major role of Twitter authors consists of neither creating nor peddling, but extending them by commenting on news.