Miracle-dz/UniFAR-FTUs huggingface dataset:
Cosmological parameters sigma_8, the baryon density, and the UV background intensity from a calibrated measurement of H I Lyman-alpha absorption at z = 1.9

We identify a concordant model for the intergalactic medium (IGM) at redshift z=1.9 that uses popular values for cosmological and astrophysical parameters and accounts for all baryons with an uncertainty of 6%. We have measured the amount of absorption, DA, in the Ly-alpha forest at redshift 1.9 in spectra of 77 QSO from the Kast spectrograph. We calibrated the continuum fits with realistic artificial spectra, and we found that averaged over all 77 QSOs the mean continuum level is within 1-2% of the correct value. Absorption from all lines in the Ly-alpha forest at z=1.9 removes DA=15.1 +/- 0.7% of the flux between 1070 and 1170 (rest) Angstroms. This is the first measurement using many QSOs at this z, and the first calibrated measurement at any redshift. Metal lines absorb 2.3 +/- 0.5%, and LLS absorb 1.0 +/- 0.4% leaving 11.8 +/- 1.0% from the lower density bulk of the IGM. Averaging over Delta z=0.1 or 154 Mpc, the dispersion is 6.1 +/- 0.3% including LLS and metal lines, or 3.9 (+0.5, -0.7)% for the lower density IGM alone, consistent with the usual description of large scale structure. LLS and metal lines are major contributors to the variation in the mean flux, and they make the flux field significantly non-Gaussian. We find that a hydrodynamic simulation on a 1024 cubed grid in a 75.7 Mpc box reproduces the observed DA from the low density IGM with parameters values H_o=71 km/s/Mpc, Omega_Lambda=0.73, Omega_m=0.27, Omega_b=0.044, sigma_8=0.9 and a UV background that has an ionization rate that is 1.08 +/- 0.08 times the prediction by Madau, Haardt & Rees (1999).
The synthesis and analysis of a bombesin analogue for radiotherapy of prostate cancer

Targeted radionuclide therapy is becoming a widely used cancer treatment strategy. By radiolabeling receptor-specific peptides, cancer cells overexpressing the receptor can be selectively targeted, and the cytotoxic radionuclide can be delivered to the target cell or tissue for therapeutic or diagnostic purposes. Bombesin analogues have been previously developed and utilized to target the gastrin-releasing peptide receptor (GRPR), a receptor commonly overexpressed in prostate cancer cells. The RM26 analogue derived from the native bombesin is an antagonistic ligand of GRPR and a possible candidate for targeted radiotherapy. Prolonging the half-life of the molecule is an important aspect of developing a new protein therapeutic. Using albumin binding domain (ABD) for this purpose is an emerging strategy in recent years. ABD is able to bind to serum albumin and thus remains in the blood circulation for a long period of time. It is also a scaffold for protein engineering efforts and by coupling receptor-specific ligands to ABD, the target-specific binding along with extended in vivo half-life can be achieved. In this project, an RM26 analogue with a PEG linker and ABD with a DOTA chelator for future radiolabeling were synthesized with solid phase peptide synthesis (SPPS), conjugated, purified by RP-HPLC and analyzed by mass spectrometry. The binding properties of the conjugate were evaluated by SPR-based biosensory studies, and further experiments are planned for the testing the product and its potential application in radionuclide therapy. I detta projekt, har både RM26 med en PEG-linker, och ABD med en DOTA kelator syntetiserats med fastfaspeptidsyntes ( solid phase peptide synthesis , SPPS). RM26-PEG och DOTA-ABD har därefter konjugerats, renats med RP-HPLC och analyserats med mass-spektrometri. Bindning till albumin har utvärderats med ytplasmonresonans ( surface plasmon resonance , SPR). Vidare studier planeras för att utvärdera peptid-proteinkonjugatet och dess potential för riktad radioterapi.
A study of total mesorectal excision for rectal cancer-upfront and after neoadjuvant chemotherapy or chemoradiation

Background: Colorectal cancer is a major cause of morbidity and mortality throughout the world. The incidence of rectal carcinoma is increasing in developing countries. Challenge in preoperative evaluation remains to identify patients who might benefit from neoadjuvant chemotherapy or chemoradiation (NACT/RT). The aim of this study was to study the correlation of final histopathology specimen (pathological tumor regression grade) with preoperative MRI (magnetic resonance tumor regression grade) (mrTRG). Method: This was a prospective observational analysis with operable rectal cancer of mid or distal rectum who underwent total mesorectal excision either upfront or following CT/RT. Preoperative MRI was done for local staging and also to assess response to neo-adjuvant CT/RT. Histo-pathological specimen was assessed for pathological tumor regression and correlation between mrTRG and pathological tumor regression grading (pTRG) analysed.Results: Out of 79 patients, 69 patients received NACRT and 10 patients underwent upfront surgery. On bivariate analysis mrTRG and pTRG corresponded in 47 patients whereas in 22 patients it didn’t correspond. There was a statistically significant agreement between mrTRG and pTRG (p=0.0491). Conclusions: mrTRG grading was identified as a reliable predictor of pathological response after neoadjuvant chemoradiotherapy and thus a predictor of completeness of resection. So, efforts should be routinely done to do a mrTRG grading as it not only provides oncological safety but also reduces post operative mortality.
Radon emanation coefficient study of a geological sample

The radon atom can escape from the material it was formed in by direct recoil or by diffusion. It then enters either an inter or intra-granular space. Next, the radon atom can migrate by diffusion or convection in order to reach the atmosphere. The emanation coefficient is defined as the ratio between the number of radon atoms that escape from the matrix and the total number produced in the entire material. We propose to define a protocol in order to measure this emanation coefficient by a differential gammametric method. This method consists in determining the concentration of the short, half-life progenies of radon (essentially lead-214 and bismuth-214) through measuring their gamma-ray intensities in a hermetic cell before and after radioactive equilibrium. The first gamma measurement results give us the quantity of radon trapped in the solid matrix. A second analysis, after 13 days, gives the total production of the progenies, and thus the total radon in the sample. The measurements of a sample that is both dried and saturated are necessary to estimate the radon emanation potential. The influence of the fluid in the porous space is discussed in a theoretical way. This approach is applied to a geological sample and compared with the experimental results.
Know Thyself as a Virtual Reality

Research-creation has existed in an ethical gray-area since its introduction to the academy. In developing the Know Thyself as Virtual Reality project, we realized that the current standards for ethics review for university- based artists are not adequate for research-creation projects which tend to involve ethical concerns distinct from conventional research and art. This is particularly clear when a research creation project, like KTVR requires the use and manipulation of the personal data of others. Digital data can be useful to researchers and artists alike, but it also implies a wide variety of unique ethical concerns. While regulations and policies need to be updated for all researchers, the lack of ethical guidelines for artist-researchers compounds the risk that they face when working with personal data. In order to gain a better understanding of the implications of the growing proliferation of data, much of the focus of the KTVR project (and the content of the VR artworks) has turned to understanding emerging and evolving frameworks for the ethical use of human data in research- creation projects.
STUDI PERENCANAAN PEMBANGKIT LISTRIK TENAGA PICOHYDRO (PLTPh) RUMAH TANGGA

Perkembangan pembangunan pembangkit listrik terus dilakukan untuk memenuhi kebutuhan kelistrikan masyarakat. Namun, pembangkit yang telah ada masih sangat mahal sehingga diperlukan sebuah pembangkit listrik sederhana yang memiliki biaya dan lahan yang minim. Pembangkit Listrik Tenaga Picohydro (PLTPh) merupakan salah satu alternatif pembangkit listrik yang lebih murah dan tidak membutuhkan lahan yang luas. Secara teknis, picohydro memiliki tiga komponen utama yaitu air (sumber energi), turbin dan generator. Potensi alam yang dapat dijadikan suatu pembangkit picohydro adalah air hujan. Perencanaan picohydro ini menggunakan curah hujan di Kota Padang sebagai sumber energi primer yang dihitung berdasarkan luas permukaan atap rumah, dimana curah hujan rata-rata 24.154 mm/menit. Air hujan akan ditampung pada tangki berukuran 5100 liter dengan luas pipa pesat 1.2 inci dengan kecepatan air 6.26 m/s, sehingga debit air yang dimanfaatkan 6.9 liter/s. Turbin yang digunakan adalah turbin reaksi propeller open flume TC 60 dan generator sinkron satu fasa kapasitas dapat melebihi 100 Watt, 200 – 220 volt, 90 Hz dengan head 3 meter. Daya keluaran yang dihasilkan adalah 173.43 watt, dimana untuk turbin propeller memiliki efisiensi 0.85 dan efisiensi generator 0.9. Rencana anggaran biaya yang dibutuhkan untuk pembangunan PLTPh ini adalah sebasar Rp. 12,713,855.
The Impact of COVID-19 and Administrative Interventions on Stock Returns: New Insights From Sectoral Analysis

We examine the impact of the COVID-19 pandemic and the administrative interventions on stock returns across 21 sectors in India. Almost all sectors reacted negatively to the pandemic announcement on 11 March 2020. The early lockdown resulted in negative abnormal returns. However, this effect was transitory as investors gained confidence and some sectors quickly revived. The unlocking led to positive abnormal returns across all sectors, except chemical products.
Baseﬂow and Stormﬂow Zinc Loads in a Small Agricultural River Catchment Inﬂuenced by an Industrial Area

: A stringent environmental quality standard for zinc (Zn) has been enacted by regulators because of its toxicity to aquatic life. This study’s objective was to evaluate the variability of Zn concentrations and ﬂuxes in the baseﬂow and stormﬂow and to estimate the contribution of Zn from point and non-point sources. By using high-resolution temporal sampling, the suspended solids (SS), iron (Fe), and Zn concentrations were measured in a small agricultural river catchment. Fe, as the natural non-point source, and Zn were evaluated using the end member mixing analysis (EMMA) to identify the source apportionment (point and non-point). The results indicate that in the baseﬂow, Zn mainly originated from point sources and was possibly discharged by manufacturing industries. By contrast, the non-point sources (diffuse sources) were responsible for extremely high SS, Fe, and Zn levels in the stormﬂow. In addition, Zn discharge during the stormﬂow was 93 times higher than that during the baseﬂow. According to the EMMA, approximately 74% of the Zn was from point sources. River management can be improved if Zn point sources are adequately treated. During a storm event, it is also important to control the particulate Zn released into the river.
International Journal of Innovative Technology and Exploring Engineering (IJITEE)

38 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: H6119069820/2020©BEIESP DOI: 10.35940/ijitee.H6119. 069820 Abstract: LEO satellites play an important role in global communication system. LEO satellites have some advantages over GEO and MEO satellites, in respect of power requirement, end-to-end delay & more efficient frequency spectrum. But the main problem of LEO satellite, is that they have large relative speed than the speed of mobile nodes (MN) and earth, so that the handover occurrence is more. As a result, the call blocking probability (Pb) and force call termination probability (Pf) is higher. To overcome this problem, Billboard manager based handover (BMBHO) was introduced to reduce the scanning time significantly and also to reduce the Pf. But the main problem of single billboard manager (BM) is that, since all handover requests have to be processed from a single point. In this paper, we have proposed the concept of multi-billboard manager based handover (MBMHO) method to resolve this problem. Thus, handover request will be served more efficiently so that both Pb and Pf are minimized than the BMBHO method.
An Efficient Makespan Model for Hybrid Dual Parallel Computing Framework

MapReduce (MR) is the most widely adopted and used computing platform for processing complex scientific and data intensive application. Hadoop MapReduce (HMR) is widely used MR framework across various organization due to its open source nature. Cloud service provider (CSP) such Azure HDInsight offers computing resources to its user and only pays for their use. MapReduce framework currently been used are not efficient due to sequential computing of Map and Reduce phase. As a result, incurs higher computing cost and exhibit underutilization of cloud resources. Minimizing cost of execution on such platform is most desired. To overcome research challenges, this work firstly present Hybrid Dual Parallel Computing (HDPC) framework. HDPC offers parallel computation of Map and Reduce phase. To further enhance resource utilization parallel execution of map and reduce operation is carried out considering multi-core environments available with virtual computing workers. Lastly, this work presented job makespan/execution model and working structure of HDPC framework. Experiment are conducted on Microsoft Azure HDInsight cloud platform considering stream and non-stream application to evaluate performance of HDPC framework over existing computing model. The outcome shows significant performance improvement in terms of execution time. Overall good correlation is seen among practical execution and theoretical execution outcome shows proposed HDPC framework is robust, scalable, cost efficient and support dynamic analysis on cloud computing environment.
Robust Model Fitting Based on Greedy Search and Specified Inlier Threshold

Robust model fitting is an important task for modern electronic industries. In this paper, an efficient robust model-fitting method is proposed to estimate model hypotheses for multistructure data with high outlier rates. The proposed method consists mainly of two steps. First, an improved greedy search strategy is used to generate model hypotheses. Different from the conventional greedy search strategy that always initializes its model hypotheses randomly, the improved greedy search strategy may initialize its model hypotheses by using the inliers of the current best hypotheses for generating more accurate hypotheses. Second, on the basis of the improved greedy search strategy and a specified inlier threshold, a novel parameter detector is used to detect whether the parameters of the generated hypotheses are correct. If they are correct, then the proposed method finishes its fitting process. Otherwise, the first and second steps are performed again. Experimental results on the AdelaideRMF and Hopkins 155 datasets revealed that the proposed method outperformed several state-of-the-art model-fitting methods, including the method based on the conventional greedy search strategy.
Low-voltage grid upgrades enabling islanding operation

: This article addresses the developments ongoing in SENSIBLE, an H2020 funded project focused on energy storage and energy management, which demonstration occurs in Évora-Portugal, Nottingham, UK and Nuremberg, Germany. Currently, the presented work focuses on the developments necessary to make possible islanding operation in low-voltage grids, where new assets like storage and new automation and protection schemes are necessary to guaranty safety and reliability of low-voltage grids. These developments are a result of the ongoing works under one of SENSIBLE use cases which demonstrations occurs in a small village in Évora district in Portugal.
Absorptive Capacity: Empirical Exploration on Trait of Organizational Structure and Absorptive Capacity

Open innovation literature argues that firms need to identify new knowledge and collaborate it through the innovation process. In line with the issue, absorptive capacity has been highlighted in the various fields such as technology management, strategic management, international business and organizational economics. But the component, outcomes, antecedents and definition of absorptive capacity is diverse and somewhat ambiguous. Relevant to this issue, many studies attempted to conceptualize absorptive capacity with different definitions and dimensions. However, few undertake dealing with other antecedents such as characteristics of organizational structure. In this paper, we aim to empirically explore the antecedents of absorptive capacity, namely formalization, decentralization, and coordination capability, those which possibly affect the potential absorptive capacity and realized absorptive capacity. Further, we try to find effect of absorptive capacity practices on absorptive capacity. By doing so, findings are expected to allow firms to better understand how absorptive capacities can be developed. three dimensions for explaining the organizational structure from existing literature: formalization, decentralization, coordination. Those three are regarded as key dimensions for organization structure in knowledge management fields, but they have not empirically tested as determinants of potential and realized absorptive capacity.
Pancreatic Islet Cancer VEGF and c-Met Blockade Amplify Angiogenesis Inhibition in

, Abstract Angiogenesis inhibitors that block VEGF receptor (VEGFR) signaling slow the growth of many types of tumors, but eventually the disease progresses. Multiple strategies are being explored to improve efficacy by concurrent inhibition of other functionally relevant receptor tyrosine kinases (RTK). XL880 (foretinib, GSK1363089) and XL184 (cabozantinib) are small-molecule inhibitors that potently block multiple RTKs, including VEGFR and the receptor of hepatocyte growth factor c-Met, which can drive tumor invasion and metastasis. This study compared the cellular effects of XL880 and XL184 with those of an RTK inhibitor (XL999) that blocks VEGFR but not c-Met. Treatment of RIP-Tag2 mice with XL999 resulted in 43% reduction in vascularity of spontaneous pancreatic islet tumors over 7 days, but treatment with XL880 or XL184 eliminated approximately 80% of the tumor vasculature, reduced pericytes and empty basement membrane sleeves, caused widespread intratumoral hypoxia and tumor cell apoptosis, and slowed regrowth of the tumor vasculature after drug withdrawal. Importantly, XL880 and XL184 also decreased invasiveness of primary tumors and reduced metastasis. Overall, these findings indicate that inhibition of c-Met and functionally related kinases amplifies the effects of VEGFR blockade and leads to rapid, robust, and progressive regression of tumor vasculature, increased intratumoral hypoxia and apoptosis, and reduced tumor invasiveness and metastasis. Cancer Res; 71(14); 4758 – 68. (cid:1) 2011 AACR. of islet used as a model and the of and
NRF2 Modulates Aryl Hydrocarbon Receptor Signaling: Inﬂuence on Adipogenesis (cid:1) †

The NF-E2 p45-related factor 2 (NRF2) and the aryl hydrocarbon receptor (AHR) are transcription factors controlling pathways modulating xenobiotic metabolism. AHR has recently been shown to affect Nrf2 expression. Conversely, this study demonstrates that NRF2 regulates expression of Ahr and subsequently modulates several downstream events of the AHR signaling cascade, including (i) transcriptional control of the xenobiotic metabolism genes Cyp1a1 and Cyp1b1 and (ii) inhibition of adipogenesis in mouse embryonic ﬁbroblasts (MEFs). Constitutive expression of AHR was affected by Nrf2 genotype. Moreover, a pharmacological activator of NRF2 signaling, CDDO-IM {1-[2-cyano-3,12-dioxooleana-1,9(11)-dien-28-oyl]imidazole}, induced Ahr , Cyp1a1 , and Cyp1b1 transcription in Nrf2 (cid:1) / (cid:1) MEFs but not in Nrf2 (cid:2) / (cid:2) MEFs. Reporter analysis and chromatin immunoprecipitation assay revealed that NRF2 directly binds to one antioxidant response element (ARE) found in the (cid:2) 230-bp region of the promoter of Ahr . Since AHR negatively controls adipocyte differentiation, we postulated that NRF2 would inhibit adipogenesis through the interaction with the AHR pathway. Nrf2 (cid:2) / (cid:2) MEFs showed markedly accelerated adipogenesis upon stimulation, while Keap1 (cid:2) / (cid:2) MEFs (which exhibit higher NRF2 signaling) differentiated slowly compared to their congenic wild-type MEFs. Ectopic expression of Ahr and dominant-positive Nrf2 in Nrf2 (cid:2) / (cid:2) MEFs also substantially delayed differentiation. Thus, NRF2 directly modulates AHR signaling, highlighting bidirectional interactions of these pathways. electrophoretically membrane blocked fat-free milk sequentially enzyme-conjugated secondary The results were documented on X-ray ﬁlm by using an ECL detection kit Biosciences). Immunoblot analysis conﬁrmed the expression of AHR and NRF2 (cid:3)(cid:8) eh2 in the stable clones (data using anti-AHR antibody and anti-NRF2 antibody Ken Polyclonal anti- (cid:7) -actin antibody and anti-lamin B antibody were obtained from Santa Cruz Biotechnology.
Integrating Physical Load Exposure Calculations and Recommendations in Digitalized Ergonomics Assessment Processes

The type of ergonomics assessment methods typically used in digital human modelling (DHM) tools and automated assessment processes were rather developed to be used by ergonomists to assess ergonomics by observing the characteristics of the work. Direct measurement methods complement observation methods. Direct measurement methods have a design that suits being implemented into DHM tools. A drawback of direct measurement methods is that they traditionally do not include action levels. However, action levels in direct measurement methods have recently been suggested. The aim of this paper is to illustrate how these recent physical load exposure calculations and recommendations can be integrated in a DHM tool and in an automated assessment process. A demonstrator solution was developed that inputs exposure data from simulations in the DHM tool IPS IMMA as well as exposure data that originate from tracking real workers’ motions, using the motion capture system Xsens MVN. The demonstrator was applied in two use cases: one based on predicted human motions and one based on captured human motions. In the demonstrator, head posture, upper left and right arm posture and velocity, as well as left and right wrist velocity were calculated. Exposure data were compared with action levels, and extreme action levels were indicated by colouring the information. The results are promising, and the demonstrator illustrates that it is possible to follow the trends in Industry 4.0 and Industry 5.0 to automate and digitalize ergonomics assessment processes in industry.
Derating a single wind farm turbine for reducing its wake and fatigue

Derating of individual turbines is one of the options to implement wind farm performance optimization, although there are different ways to proceed with such derating at the turbine control level. The present paper develops an option based on the minimal thrust coefficient in accordance with the Cp and Ct contour levels. This strategy is compared for the region below rated wind speed with two other strategies where either the pitch or the tip speed ratio are maintained at their maximum Cp values from normal operation. The study concludes that maintaining the pitch at the optimal value from normal operation produces poorer performance from the thrust and the loads perspective. Practical implementation issues have also been detected.