gebhart/patrepeval huggingface dataset:
Indicators for Evaluation of Energetic Performance of Net Zero Energy Buildings (2019)

According to experts, the average temperature of the planet has increased at an unprecedented and alarmingly high rate over the last fifty (50) years. Carbon emissions have been found to be a major catalyst for climate change and the energy sector one of the highest emitters globally. Thus any significant reduction in energy related emissions would have a significant impact on global carbon emissions and consequently global warming. UN-Habitat estimates that approximately 56% of energy produced in most African nations is consumed in buildings. There is a need for energy efficiency and possibly conservation in buildings since they represent the single largest consumer of energy on the continent. Net Zero Energy Buildings (NZEBs), a possible solution for reducing the energy footprint of buildings, represents the evolution of buildings in the near future. The Zero energy concept has a major impact on the design and construction of future buildings. This paper focuses on the review and development of existing Load Match Indicators for zero energy buildings. Four indicators are provided and discussed (i.e. self-consumption, self-production, loss of load probability, and coverage rate indicators). For the purpose of this paper, Predis-MHI (a platform of G2ELab) was used as a case study. Data was collected from the platform’s living lab and was used in the calculation and evaluation of these indicators. The results indicate the relevance of each indicator in evaluating the energetic performance of a building and also highlight the practical difficulties faced in evaluating the platform.
Submicron-fabrication of bovine serum albumin (BSA) matrix via two-photon photochemical crosslinking (2010)

We present the successful fabrication of bovine serum albumin matrix with novel two-photon photochemical crosslinking technique. Electron scanning microscope images revealed the highly porous microstructures of as-fabricated matrices. Dose dependence of the microstructures on both BSA and Rose Bengal has been studied. 2D patterns and 3D micropillars of BSA have also been fabricated, which potentially can be used as a model of cell-matrix study.
Algoriphagus jejuensis sp. nov., isolated from seawater (2011)

A gram-negative, pink-pigmented, non-motile, strictly aerobic rod, designated CNU040(T), was isolated from seawater from the coast of Jeju Island in Korea. The temperature, pH and NaCl ranges for growth were 4-30 °C, pH 5.5-10.0 and 0-5.0 % NaCl. Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain CNU040(T) belonged to a distinct lineage in the genus Algoriphagus and exhibited high sequence similarity with Algoriphagus terrigena DS-44(T) (98.3 %) and Algoriphagus alkaliphilus AC-74(T) (96.6 %) and lower sequence similarity (<96.0 %) with all other members of the genus Algoriphagus. DNA-DNA relatedness between strain CNU040(T) and A. terrigena KCTC 12545(T) was 44.5 %. The DNA G+C content of the isolate was 48.5 mol% and the major respiratory quinone was menaquinone-7. The major cellular fatty acids were iso-C(15 : 0) (28.6 %) and summed feature 3 (consisting of iso-C(15 : 0) 2-OH and/or C(16 : 1)ω7c; 24.0 %). The polar lipids consisted of diphosphatidylglycerol, phosphatidylethanolamine, one unknown amino lipid, one unknown aminophospholipid and three unknown polar lipids. On the basis of phenotypic, phylogenetic and genotypic data, strain CNU040(T) represents a novel species within the genus Algoriphagus, for which the name Algoriphagus jejuensis sp. nov. is proposed. The type strain is CNU040(T) ( = KCTC 22647(T) = JCM 16112(T)).
Unusual Cortical Phenotype After Hematopoietic Stem Cell Transplantation in a Patient With Osteopetrosis (2022)

The osteopetroses are a group of rare genetic diseases caused by osteoclast dysfunction or absence. The hallmark of osteopetrosis is generalized increased bone mineral density (BMD). However, the bone is fragile and fractures are common. Autosomal recessive osteopetrosis is usually a severe disorder and often life-threatening in childhood. We present male siblings with autosomal recessive osteopetrosis due to biallelic variants in <i>TCIRG1</i> who survived childhood and underwent hematopoietic stem cell transplant (HSCT) in adulthood. One sibling died of posttransplant complications. After transplant, the other sibling had improvement of multiple clinical parameters, including some decline in BMD <i>Z</i>-scores by dual-energy X-ray absorptiometry (DXA) and cessation of fractures. However, spine quantitative computed tomography 11 years after transplant demonstrated an anvil pattern of sclerosis with BMD <i>Z</i>-score of +18.3. High-resolution peripheral quantitative computed tomography (HR-pQCT) of the tibia demonstrated near complete obliteration of the marrow space combined with an unusual cortical phenotype, suggesting extensive cortical porosity at the distal tibia. This case highlights that despite successful transplantation and subsequent improvement in clinical parameters, this patient continued to have significantly elevated bone density and decreased marrow space. Transplant-associated increased cortical porosity is multifactorial and occurs in two-thirds of non-osteopetrotic patients undergoing HSCT. This finding after transplant in osteopetrosis may suggest particular sensitivity of the cortical bone to resorptive activity of transplanted osteoclasts. The case also suggests HR-pQCT may be a useful modality for imaging and assessing the therapeutic effects on bone in individuals with osteopetrosis. © 2022 The Authors. <i>JBMR Plus</i> published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
The Host-Dependent Interaction of α-Importins with Influenza PB2 Polymerase Subunit Is Required for Virus RNA Replication (2008)

The influenza virus polymerase is formed by the PB1, PB2 and PA subunits and is required for virus transcription and replication in the nucleus of infected cells. As PB2 is a relevant host-range determinant we expressed a TAP-tagged PB2 in human cells and isolated intracellular complexes. Alpha-importin was identified as a PB2-associated factor by proteomic analyses. To study the relevance of this interaction for virus replication we mutated the PB2 NLS and analysed the phenotype of mutant subunits, polymerase complexes and RNPs. While mutant PB2 proteins showed reduced nuclear accumulation, they formed polymerase complexes normally when co expressed with PB1 and PA. However, mutant RNPs generated with a viral CAT replicon showed up to hundred-fold reduced CAT accumulation. Rescue of nuclear localisation of mutant PB2 by insertion of an additional SV40 TAg-derived NLS did not revert the mutant phenotype of RNPs. Furthermore, determination of recombinant RNP accumulation in vivo indicated that PB2 NLS mutations drastically reduced virus RNA replication. These results indicate that, above and beyond its role in nuclear accumulation, PB2 interaction with alpha-importins is required for virus RNA replication. To ascertain whether PB2-alpha-importin binding could contribute to the adaptation of H5N1 avian viruses to man, their association in vivo was determined. Human alpha importin isoforms associated efficiently to PB2 protein of an H3N2 human virus but bound to diminished and variable extents to PB2 from H5N1 avian or human strains, suggesting that the function of alpha importin during RNA replication is important for the adaptation of avian viruses to the human host.
The Potential Biomarkers and Immunological Effects of Tumor-Derived Exosomes in Lung Cancer (2018)

Lung cancer remains the leading cause of cancer-related deaths worldwide. Despite considerable achievements in lung cancer diagnosis and treatment, the global control of the disease remains problematic. In this respect, greater understanding of the disease pathology is crucially needed for earlier diagnosis and more successful treatment to be achieved. Exosomes are nano-sized particles secreted from most cells, which allow cross talk between cells and their surrounding environment <i>via</i> transferring their cargo. Tumor cells, just like normal cells, also secrete exosomes that are termed Tumor-Derived Exosome or tumor-derived exosome (TEX). TEXs have gained attention for their immuno-modulatory activities, which strongly affect the tumor microenvironment and antitumor immune responses. The immunological activity of TEX influences both the innate and adaptive immune systems including natural killer cell activity and regulatory T-cell maturation as well as numerous anti-inflammatory responses. In the context of lung cancer, TEXs have been studied in order to better understand the mechanisms underlying tumor metastasis and progression. As such, TEX has the potential to act both as a biomarker for lung cancer diagnosis as well as the response to therapy.
Line Transversals of Convex Polyhedra in $\reals^3$ (2008)

We establish a bound of $O(n^2k^{1+\eps})$, for any $\eps&gt;0$, on the combinatorial complexity of the set $\T$ of line transversals of a collection $¶$ of $k$ convex polyhedra in $\reals^3$ with a total of $n$ facets, and present a randomized algorithm which computes the boundary of $\T$ in comparable expected time. Thus, when $k\ll n$, the new bounds on the complexity (and construction cost) of $\T$ improve upon the previously best known bounds, which are nearly cubic in $n$. To obtain the above result, we study the set $\TL$ of line transversals which emanate from a fixed line $\ell_0$, establish an almost tight bound of $O(nk^{1+\eps})$ on the complexity of $\TL$, and provide a randomized algorithm which computes $\TL$ in comparable expected time. Slightly improved combinatorial bounds for the complexity of $\TL$, and comparable improvements in the cost of constructing this set, are established for two special cases, both assuming that the polyhedra of $¶$ are pairwise disjoint: the case where $\ell_0$ is disjoint from the polyhedra of $¶$, and the case where the polyhedra of $¶$ are unbounded in a direction parallel to $\ell_0$.
Bile acid excess induces cardiomyopathy and metabolic dysfunctions in the heart (2016)

Decreased proliferator-activated receptor-γ coactivator 1α expression contributes to the metabolic dysfunction in cholecardia so that reducing serum bile acid concentrations may be beneficial against the metabolic and pathological changes in the heart. (Hepatology 2017;65:189-201).
Utilizing IEEE 802.11n to enhance QoS support in wireless mesh networks (2008)

Wireless mesh networks (WMNs) have the potential in supporting multimedia applications with last-mile Internet access. To achieve this objective, shortcomings such as scarcity of the wireless link capacity and the lack of robust QoS scheduling must be overcome. In this paper, we consider WMNs utilizing the new IEEE 802.11n standard. Based on the standardpsilas physical and medium access control (MAC) layer enhancements, we propose adapting the modulation and code scheme (MCS) index and aggregation frame length according to the online assessed link quality, performing frame aggregation by packing multiple small subframes. We also propose performing QoS bandwidth provisioning by optimally aggregating subframes according to their QoS constraints and fairness. Performance results show that incorporating link adaptation, frame aggregation, and QoS bandwidth provisioning can considerably improve the system performance in terms of MAC delay, achieved throughput and packet dropping ratio. The results also show that packet aggregation scheme has a crucial impact on system performance when aggregating small packet sizes.
Mass Spectrometry-based Expression Profiling of Clinical Prostate Cancer (2005)

The maturation of MS technologies has provided a rich opportunity to interrogate protein expression patterns in normal and disease states by applying expression protein profiling methods. Major goals of this research strategy include the identification of protein biomarkers that demarcate normal and disease populations, and the identification of therapeutic biomarkers for the treatment of diseases such as cancer (Celis, J. E., and Gromov, P. (2003) Proteomics in translational cancer research: Toward an integrated approach. Cancer Cell 3, 9-151). Prostate cancer is one disease that would greatly benefit from implementing MS-based expression profiling methods because of the need to stratify the disease based on molecular markers. In this review, we will summarize the current MS-based methods to identify and validate biomarkers in human prostate cancer. Lastly, we propose a reverse proteomic approach implementing a quantitative MS research strategy to identify and quantify biomarkers implicated in prostate cancer development. With this approach, the absolute levels of prostate cancer biomarkers will be identified and quantified in normal and diseased samples by measuring the levels of native peptide biomarkers in relation to a chemically identical but isotopically labeled reference peptide. Ultimately, a centralized prostate cancer peptide biomarker expression database could function as a repository for the identification, quantification, and validation of protein biomarker(s) during prostate cancer progression in men.
Supplementary File 7: Loco-regional control and survival. from Phase I and Pharmacologic Study of Olaparib in Combination with High-dose Radiotherapy with and without Concurrent Cisplatin for Non–Small Cell Lung Cancer (2023)

&lt;p&gt;This file contains details on loco-regional control, progression free survival and overall survival split by treatment arm.&lt;/p&gt;
A validated photonumeric cellulite severity scale (2009)

The proposed photonumeric scale is a consistent, comprehensive, reliable, and reproducible tool for the standardized and objective assessment of the severity of cellulite. Conflicts of interest The authors hereby affirm that neither the manuscript nor any part of it has been published or is being considered for publication elsewhere.
Abstract 3811: Defining the relevant genome in solid tumors (2017)

Abstract Decades of cancer research including comprehensive molecular profiling combined with the development of a broad array of targeted therapies have created the opportunity to transform cancer care by implementing precision oncology based approaches. An important element of this system is the widespread availability of robust and cost-effective multi-variate profiling methods to characterize relevant cancer associated molecular alterations in the future. Current commercially available multi-variate profiling methods vary dramatically with regard to the number of cancer genes that are interrogated. Given that many large scale and detailed molecular profiling studies have been completed, the landscape of somatic alterations in solid tumors is reasonably well-known. Furthermore, the specific gene variants that are relevant to application of targeted therapies are also a matter of record. Therefore, we set out to define the number of relevant cancer genes for precision oncology research based on the currently available empirical evidence. To define recurrent somatic alterations in solid tumors, we created a compendium of variant calls from &amp;gt; 15,000 exomes, defined focal amplifications and deletions from &amp;gt; 30,000 arrays, and defined recurrent fusions from several thousand RNAseq profiles. Statistical approaches were implemented to define genes containing recurrent missense mutations (i.e., hotspots), enriched in truncating mutations or subject to recurrent copy number gain/loss or translocation. This gene set was then used to comprehensively search approved cancer drug labels, clinical practice guidelines, and clinical trials to identify records containing published evidence that specific recurrent somatic gene variants were used as part of the indication statement of an approved targeted therapy, were recommended for testing as part of clinical practice for therapeutic decisions, or were used as enrollment criteria in clinical trials. The relevant cancer genome thus defined consists of &amp;lt; 100 genes. These results suggest that targeted multi-variate profiling approaches may be sufficient to support precision oncology goals in the future. Citation Format: Habib R. Hamidi, Santoshi Bandla, Nick Khazanov, Paul William, Nikki Bonevich, Chris Zurenko, Sarah Anstead, Chris Taylor, Reuban Richmonds, David Galimberti, Ken Kopp, Dinesh Cyanam, Michael Hogan, Vinay Mittal, Seth Sadis. Defining the relevant genome in solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3811. doi:10.1158/1538-7445.AM2017-3811
Synthesis of Cephalostatin Analogues by Symmetrical and Non-Symmetrical Routes (1998)

The synthesis of the cephalostatin-analogous bis-steroidal pyrazines 6, 27a/b and 41 by the transformation of the C2-symmetrical diketone 6 as a central precursor, as well as the direct preparation of several non-symmetrical bis-steroidal pyrazines by coupling of enamino ketones (5, 40) with vinyl azides (17a/b) is reported. Furthermore, an improved procedure for preparation of the diketone 6 described earlier is presented.
Influence of barriers on the reliability of dual damascene copper contacts (2008)

In this paper we investigate the reliability of Cu contacts with both Ta and W based barriers using thermal and electrical stressing. The Ta based barrier showed superior resistance to electrical stressing, with a time-to-failure approaching that of the W-plug reference and a via like failure mode. However early fails reduce the t50 due to high process induced stress imposed by the pre-metal dielectric. These initial results suggest, with further process optimization to reduce thermal stress and improve barrier uniformity, Cu contacts with Ta based barriers can be as reliable as vias in higher metals layers and the traditional W contacts.
Floating body effects in 0.15 /spl mu/m partially depleted SOI MOSFETs below 1 V (1996)

Summary form only. The SOI MOSFET has attracted much attention as a very low power, low voltage device. The supply voltage is reduced to less than 1 V for extreme low power applications. The floating body effects, which is one of the most serious problems in partially depleted (PD) SOI MOSFETs, would be very different when the supply voltage is reduced below 1 V, because the bipolar effect and the impact ionization would be suppressed. However, most of the previous studies on the floating body effects have been reported in the regime of 1.5-3 V. In this paper, we have investigated the floating body effects in 0.15 /spl mu/m PD MOSFETs below 1 V.
Novel S-Substituted Aminoalkylamino Ethanethiols as Potential Antidotes against Sulfur Mustard Toxicity (2004)

Sulfur mustard (SM) is a highly toxic chemical warfare agent. A satisfactory treatment regimen is not yet available for this toxicant. In a search for an effective antidote against SM, a series of novel S-2(omega-aminoalkylamino)ethyl alkyl/aryl thioethers [H(2)N(CH(2))(n)()NHCH(2)CH(2)SR], where R = alky, alicyclic, aryl, and heterocyclic substituents, have been designed and synthesized as candidate antidotes against SM toxicity. These compounds were screened for their protective efficacy through the oral route against dermally applied sulfur mustard in female mice measured on the basis of percent survival following percutaneous administration of SM. A number of compounds demonstrated significant protection.
A Posteriori and a Priori Methodologies for Testing Hypotheses of Causal Processes in Vicariance Biogeography (2002)

Methods used in vicariance biogeography fall into the categories of a posteriori methods (e.g., Component Compatibility Analysis and Brooks Parsimony Analysis) and a priori methods (e.g., Component Analysis, Reconciled Tree Analysis, and Three Area Statement Analysis). Each category corresponds to a particular methodology that arrives at general area cladograms by testing null hypotheses in a particular way. A posteriori methods assume the process of vicariance only (A0) as a common cause of the distribution of different monophyletic groups of taxa under the null hypothesis. Whenever a parsimony analysis of combined data from these monophyletic groups results in a general area cladogram with homoplasy, the null hypothesis is rejected and extinction and dispersal are invoked a posteriori as ad hoc process explanations. A priori methods assume not only vicariance (A0) but also combinations of vicariance with the processes of extinction (A1) and dispersal (A2) as possible causes of the distribution of the taxa of different monophyletic groups. Each assumed set of processes corresponds to a different null hypothesis. Under the assumption of independence and thus additivity of the processes involved, the sets of area cladograms obtained under A0, A1, and A2 from data of each monophyletic group must be inclusive (requirement I). Whenever no congruent area cladograms are found in the intersection of sets of area cladograms derived under the same assumption for different monophyletic groups (II), the corresponding null hypothesis is rejected.
Identification of proteomic and metabolic signatures associated with chemoresistance of human epithelial ovarian cancer (2016)

Emerging drug resistance in epithelial ovarian cancer (EOC) thwarted progress in platinum‑based chemotherapy, resulting in increased mortality, morbidity and healthcare costs. The aim of this study was to detect the responses induced by chemotherapy at protein and metabolite levels, and to search for new plasma markers that can predict resistance to platinum‑based chemotherapy in EOC patients, leading to improved clinical response rates. Serum samples were collected and subjected to proteomic relative quantitation analysis and metabolomic analysis. Differentially expressed proteins and metabolites were subjected to bioinformatics and statistical analysis. Proteins that played a key role in platinum resistance were validated by western blotting and enzyme‑linked immunosorbent assay (ELISA). Metabolites that were the main contributors to the groups and closely with clinical characteristics were identified based on the database using nuclear magnetic resonance (NMR). In total, 248 proteins from two independent experiments were identified using isobaric tags for relative and absolute quantitation (iTRAQ)‑based quantitative proteomic approach. Among them, FN1, SERPINA1, GPX3 and ORM1 were chosen for western blotting and ELISA validation. Platinum resistance likely associated with differentially expressed proteins and FN1, SERPINA1 and ORM1 may play a positive role in chemotherapy. HPLC‑MS analysis of four groups revealed a total of 25,800 metabolic features, of which six compounds were chosen for candidate biomarkers and identified based on the database using NMR. The metabolic signatures of normal control (NC), platinum‑sensitive (PTS) and platinum‑resistant (PTR) groups were clearly separated from each other. Those findings may provide theoretical clues for the prediction of chemotherapeutic response and reverse of drug resistance, even lead to novel targets for therapeutic intervention.
Introduction to grid computing with globus (2003)

Fundamentals and concepts Using the Globus Toolkit OGSA introduction This IBM Redbook is intended to give readers interested in the technical aspects of grid computing a hands-on introduction using the Globus Toolkit. This includes a discussion of the first basics of grid computing, and various grid products and architectures. This publication is a good starting point for learning about grid computing, and gives you a good foundation before learning more about the future of grid computing, OGSA, e-business, and IBM's vision of the on-demand era. This publication covers the following topics: - Grid computing fundamentals - Architecture and security considerations - Introduction of Open Grid Services Architecture (OGSA) - Description of the components of the Globus Toolkit - Globus Toolkit Version 2.2 implementation