cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Antioxidant and orofacial anti-nociceptive activities of the stem bark aqueous extract of Anadenanthera colubrina (Velloso) Brenan (Fabaceae)
Creators: name: N.P. Damascena
name: M.T.S. Souza
name: A.F. Almeida
name: R.S. Cunha
name: R.L. Curvello
name: A.C.B Lima
name: E.C.V. Almeida
name: C.C.S. Santos
name: A.S. Dias
name: M.S. Paixão
name: L.M.A. Souza
name: L.J. Quintans Júnior
name: C.S. Estevam
name: B.S. Araujo
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: The anti-nociceptive and antioxidant activities of the Anadenantheracolubrina stem bark aqueous extract (AEAC) were investigated. AEAC (30 μg/mL) reduced 94.8% of 2,2-diphenyl-1-picrylhydrazyl radical and prevented 64% (200 μg/mL) of lipid peroxidation caused by 2,2′-azobis(2-methylpropionamidine) dihydrochloride-induced peroxyl radicals. AEAC treatment (200 and 400 mg/kg) significantly (p p
Predicting Termination of Mobile Subscribers Using Classification Algorithms
Creators: name: Kiflemariam, Mehari
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2019

description: Service termination is one key challenge of operators that can significantly reduce their revenue. It is still a challenge even in Ethiopian monopoly market even if users do not have alternative service provider. For instance, the market has seen 1.6 percent overall prepaid mobile subscriber termination rate within a quarter, let alone specific service termination. To address this challenge, operators need to understand causes of termination and take timely proactive actions to mitigate number of terminations. For this purpose, they need to accurately and timely predict subscribers with potential service termination based on collected service related data. Performance of various classification algorithms have been investigated to predict subscribers' behavior. However, performance of such algorithms are not studied in the context of Ethiopia where ethio telecom has an enormous data that helps to define its subscribers' behavior. Objective of this thesis work is to study performance of classification learning algorithms for predicting termination in the context of Ethiopian prepaid subscribers. Studied algorithms are J48, Random Forest and Naïve Bayes and their performance are compared in terms of prediction accuracy, performance, errors and interpretability of their model. Algorithms effectiveness and efficiency are evaluated considering two validation methods (Percentage Split and Cross Validation) and three data sets. For the performance evaluation, we used WEKA 3.8 tool algorithm implementation. Obtained results show that Random Forest scores the highest prediction accuracy while Naïve Bayes scores the least. Random Forest and Naïve Bayes scores their best at 93.4% and 85.9% respectively, besides J48 scores 93.3%. J48 is as accurate & robust as Random Forest. Moreover, it provides the most interpretable and clear model.
Road Traffic Congestion Estimation Using 3G Handover Data: For the Case of Addis Ababa
Creators: name: Chalachew, Berihun
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2020

description: There is an increase in vehicle use in Addis Ababa which increases by 5% annually, not only this but also the urban arterial roads are of mixed type and there are no automated means that monitor the road traffic congestion. This creates road traffic congestion which is one of the main problems that affects everyone in time, energy and resource management. Road traffic estimation is instrumental in developing a more advanced transportation system to avoid congestions, trip delay, improper fuel usage, and vehicle use. There are different methods to collect data and estimate the degree of road traffic congestion such as manual counting (observation), global positioning system, inductive loops, using a camera system. The latter three mentioned are expensive in installation and maintenance with coverage limitations. This thesis focuses on one of the cost-effective alternative methods, which is based on 3G cellular handover data in the case of Addis Ababa's main selected road for the experiment. In this study, we examined this alternative method to estimate the degree of road traffic congestion using a simple feedforward backpropagation neural network by considering and ignoring the altitude parameter. Related research has been done, but this study does not show by considering the altitude as a factor. We collect handover data while driving along selected arterial roads in Addis Ababa, and also handover archived data has been used for some sections of the streets for the experiment. For the congestion estimation data classification, AADT(Annual average daily traffic) data has been collected from AAPC(Addis Ababa police commission), and LOS(level of services) also used, which is based on the speed of test vehicles. The neural network was then trained and tested using the collected data against the road level classification done. The results found showed better performance of congestion estimation with an accuracy of 92.5% when the feature altitude is considered whereas without considering this variable, the result found is similar to those of other related research works 82.1 %. It has been shown from the effects that the improvement in the accuracy of estimation increases by 10%.
Oxidative stress protective effect of Dracocephalum multicaule essential oil against human cancer cell line
Creators: name: Esmaeili, Mohammad Ali
name: Sonboli, Ali
name: Mirjalili, Mohammad Hossein
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: In this study, we report the antioxidative and protective effect of essential oil of Dracocephalum multicaule on K562 cells. Our results demonstrated that monoterpenoids, including oxygenated and hydrocarbons, 71.5% and 28.3%, respectively, were the principal essential oils of D. multicaule. Perilla aldehyde (71.5%) and limonene (28.1%) were identified as the main components. Antioxidant studies based on the 2,2-diphenylpicrylhydrazyl assay indicated that the D. multicaule essential oil possesses a marked antioxidant and radical-scavenging activity with an IC50 value of 438.2 μg/mL. Pretreatment with essential oil and main constituents protected K562 cells 49.5% against H2O2-induced oxidative damage throughout increasing the activities of antioxidant enzymes and glutathione content in K562 cells. Collectively, D. multicaule essential oil and its main compounds especially in combinatory condition at a ratio of 7:3 with high antioxidant properties may be able to protect cells against oxidative stress induced by H2O2 through antioxidative mechanisms.
Presumptive analysis of 4-methylmethcathinone (mephedrone) using Desorption Electrospray Ionisation - Mass Spectrometry (DESI-MS)
Creators: name: Stojanovska, Natasha
name: Tahtouh, Mark
name: Kelly, Tamsin
name: Beavis, Alison
name: Shanlin Fu
Publisher: name: Taylor & Francis
Year: 2014
Subjects: subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Biological Sciences
subject: Chemistry
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Cell Biology
subject: Biochemistry
subject: Biophysics

description: 4-Methylmethcathione (4-MMC or mephedrone) is a prevalent drug of abuse globally. 4-MMC is often marketed as ‘bath salts’ and is readily available over the internet. The need for a rapid universal technique capable of detecting an extensive range of drug compounds has become increasingly important with the continued emergence of novel drug analogues. Desorption electrospray ionisation - mass spectrometry (DESI-MS) is a mass spectrometry technique that allows for the analysis of compounds directly from ambient surfaces, reducing or eliminating the need for sample preparation. Although 4-MMC has gained significant attention in recent years, the application of the DESI-MS technique to the fast presumptive detection and chemical analysis of this analogue has not been presented. In the present study, DESI-MS was applied to the rapid qualitative analysis of 4-MMC. A particularly suitable surface, semi-porous polytetrafluoroethylene (PTFE, Teflon) was utilised, as it generated the least variable signal and reproducibility compared to other surfaces (polymethyl-methacrylate (PMMA) and polyvinyl chloride (PVC)). Selectivity of the technique to the detection of 4-MMC was evaluated by analysing a range of adulterated samples including mixtures containing caffeine, methylamphetamine, cathinone and paracetamol. Specificity based on tandem MS (MS/MS) was also demonstrated by analysing substances with the same molecular formula as 4-MMC. Accuracy (% RE) and precision (% RSD) of the method were found to be within 13% and 38%, respectively; and therefore the quantitative data provided by the DESI-MS method is limited compared to gas chromatography-mass spectrometry (GC-MS; accuracy
Flavonoids from Lindera glauca Blume as low-density lipoprotein oxidation inhibitors
Creators: name: Gyu-Won Huh
name: Ji-Hae Park
name: Kang, Ji-Hyun
name: Tae-Sook Jeong
name: Kang, Hee Cheol
name: Nam-In Baek
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: In order to identify antioxidant flavonoids from Lindera glauca Blume, we performed phytochemical analysis of L. glauca Blume heartwood and isolated eight flavonoids – lindeglaucol (1), lindeglaucone (2), cilicicone B (3), tamarixetin 3-O-α-L-rhamnoside (4), procyanidin A2 (5), cinnamtannin B1 (6), cinnamtannin D1 (7), and procyanidin A1 (8) – through repeated column chromatography over silica gel (SiO2), octadecyl silica gel (ODS) and Sephadex LH-20. The chemical structures of compounds 1–8 were elucidated from spectroscopic data (NMR, IR and MS). The low-density lipoprotein oxidation inhibitory activities of the isolated compounds were evaluated in vitro by using the thiobarbituric acid reactive substances assay. Compounds 5–8 exhibited high inhibition activity, comparable to the positive control butyl hydroxyl toluene. Compounds 2 and 3 were slightly less active, while 1 and 4 expressed low activity.
Performance Evaluation of Unsupervised Learning Techniques for Enterprise Toll Fraud Detection
Creators: name: Mehadi, Aliye
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2018

description: In recent years, the impact of telecom frauds is increasing and their behavior is changing through time which makes them to remain the main challenge for telecom service providers in terms of revenue loss and degradation of quality of service. Toll fraud occurs whenever a criminal uses cheating or dishonest means with the intention to use telephony services free of charge, reduced rate or to make money. This study focuses on detection of toll fraud committed through enterprise PBX hacking by analyzing Call Detail Record (CDR) data. Unfortunately, this data is mostly unlabeled, meaning no indications on which calls are fraudulent or nonfraudulent exist. A clustering model was developed and tested with CDR collected from ethio telecom. In order to test the model with big dataset additional synthetic CDR was also used in the research. Two user profile are constructed by summarizing the data on daily basis. WEKA machine learning tool has been used to come up with a model for predicting fraudulent activities. The experimentation result showed that, the model from the K-means algorithm exhibited higher accuracy level, and can be applied in toll fraud detection. Since it was able to detect unusual changes in calling patterns which are highly likely as a consequence of fraud. The implementation of the model will enable telecom operators in general and ethio telecom in particular to detect such fraud at minimum cost of operation. Moreover, it can also be used to support enterprise customers by showing security vulnerability of their Private Branch eXchange (PBX).
Quality of Experience Evaluation for Addis Ababa UMTS Enterprise Data Customers
Creators: name: Abera, Reesom
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2018

description: Penetration of high-speed mobile data services including social media and video services has been significantly increased across the globe due to fast development of mobile network and smartphone technologies. A similar trend has also been seen in Ethiopia mainly due to large mobile network expansion projects of the sole incumbent operator ethio telecom, particularly for Universal Mobile Telecommunications System (UMTS) network. To achieve a successful business, mobile operators need to continuously monitor satisfaction of their customers and the quality of their networks to take timely marketing, network optimization and other relevant decisions. While traditionally the focus has been towards network Quality of Service (QoS), operators recently also provide attention to the aggregate user quality perception – Quality of Experience (QoE). Yet, a combined quality analysis for mobile networks in Ethiopia, particularly for the popular UMTS data service, has not been performed. In this thesis work, the detailed QoS and QoE evaluation for Addis Ababa UMTS data service including both network quality perspectives and user side perception focused on selected enterprise customers are presented. Assessment of quality monitoring process in ethio telecom has been done before conducting the evaluation on QoS and QoE. The evaluation is made based on download throughput, upload throughput and latency quality metrics collected from network management system (NMS), indoor walk test, crowdsourcing test using RTR-NetTest tool and contextually formulated survey questionnaire. In general, achieved throughput and latency results show that both QoS and QoE are not good and there is dissatisfaction of customers. For instance, the average download throughput results are 0.57 Mbps from NMS, 0.86 Mbps from indoor walk test and 2.53 Mbps from RTR-NetTest. These quantitative results are reflected in the perception result of the participants where a Mean Opinion Score value of 2.65 for the satisfaction of downloading files or video/music is achieved
Additional file 2 of Imagery ability assessments: a cross-disciplinary systematic review and quality evaluation of psychometric properties
Creators: name: Suica, Zorica
name: Behrendt, Frank
name: Gäumann, Szabina
name: Gerth, Ulrich
name: Schmidt-Trucksäss, Arno
name: Ettlin, Thierry
name: Schuster-Amft, Corina
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Science Policy

description: Additional file 2. COSMIN Risk of Bias checklist.
I luoghi dell’arte performativa in Italia tra il 1967 e il 1982
Creators: name: Oddi, Giulia
Publisher: name: Semestrale di studi e ricerche di geografia
Year: 2024

description: La performance art si diffonde come pratica alternativa all’arte tradizionalmente intesa, quella visitabile nei musei – ma non solo –, che si distingue per la produzione di oggetti collezionabili e talvolta vendibili. La performance pone il corpo dell’artista e le relazioni socio-spaziali che questo costruisce al centro della «scena»: in una galleria, in casa o in una piazza. Un ruolo centrale nel percorso di documentazione di queste pratiche artistiche è svolto dalla creatività di persone che, per passione o per mestiere, realizzano fotografie o collezionano locandine e materiali di altro genere. Allestire una mostra presuppone un lavoro di raccolta e organizzazione dei materiali da esporre; allestire un’esposizione di arte performativa in un museo significa dover recuperare tracce materiali di esibizioni che, per natura, non intendono lasciare segni visibili del loro passaggio.
description: Semestrale di studi e ricerche di geografia, N. 1 (2024)
Dual Band UMTS Network Energy Saving using Base Station Sleeping Mode: The Case of ethio telecom
Creators: name: Netsanet, Fekadu
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2019

description: Base stations represent the core contributor to the energy consumption of a mobile network. Since traffic load in mobile networks significantly fluctuates during a day and night time, it is important to quantify the influence of these variations on the base station energy consumption. Therefore, this thesis proposes energy-saving technique to reduce energy consumption at the base station level. One of the approaches is the base station sleeping technique which takes advantage of varying traffic patterns on a daily or weekly basis and selectively switches some lightly loaded base stations to the sleep mode. Various literatures have investigated the potential of energy-saving technique. However, those studies have made a simplifying assumptions that leads to inaccuracy in overall results. This thesis considers the effect of traffic load on energy consumption instead of making assumptions. Ethio telecom deployed UMTS network on two separate frequency bands: 900MHz and 2100 MHz. While applying energy-saving techniques, data service and radio coverages provided by the remaining active base stations need to guarantee the requirement over the whole area at all times. To this end, optimization of the SINR value of the coverage area is carried out by considering received signals of the base stations using genetic algorithms. As input data, real traffic statistics are used on a fully operated base station traffic load along with its power consumption. The tools utilized for analysis include MATLAB, MapInfo and WinProp. Performance results show that the proposed energy saving technique and algorithm can achieve energy savings of up to 25%, corresponding to the annual reduction of over 2,520 KWh per-site. Considering the selected case study area of ethio telecom mobile network, the use of energy-saving solutions allowed annual savings of more than 73,990.00 Birr per 12 square kilometers.
“Favoloso Calvino”: ovvero che si son detti conchiglie, formiche, mazzi di tarocchi e carte geografiche
Creators: name: Giantomasso, Camilla
Publisher: name: Semestrale di studi e ricerche di geografia
Year: 2024

description: È stata una mostra singolare quella che dal 13 ottobre 2023 al 4 febbraio 2024 è andata in scena alle Scuderie del Quirinale di Roma dedicata allo scrittore Italo Calvino, in occasione dei cento anni dalla sua nascita. Singolare perché, per la prima volta, uno scrittore è stato raccontato non tanto ripercorrendo una cronologia delle sue opere o spettacolarizzando alcune delle sue tematiche. Piuttosto, questa mostra è stata realizzata attingendo alla sua stessa poetica: un «pensare per immagini».
description: Semestrale di studi e ricerche di geografia, N. 1 (2024)
Additional file 3 of Imagery ability assessments: a cross-disciplinary systematic review and quality evaluation of psychometric properties
Creators: name: Suica, Zorica
name: Behrendt, Frank
name: Gäumann, Szabina
name: Gerth, Ulrich
name: Schmidt-Trucksäss, Arno
name: Ettlin, Thierry
name: Schuster-Amft, Corina
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Science Policy

description: Additional file 3: Table 1S. Characteristics of the Included Measurement Tools for Motor Imagery.
Optimization of Soft Handover for Addis Ababa UMTS Radio Access Network
Creators: name: Nigussie, Beyene
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2020

description: Handover is an essential radio management technique of mobile communication to enable seamless communication while users move from one cell to another one. To mitigate impacts of interference on cell-edge users, third Generation (3G) supports soft handover where users can be simultaneously served by two or more cells, in addition to hard handover, where a user is served by only one cell. The number of soft handover users and their active cells determine the degree of soft handover overhead. The soft handover overhead data for the year 2018 of Addis Ababa 3G network is 87% average overhead, which is considerably beyond the maximum recommended value. This figure indicates the requirement to optimize the soft handover overhead using the soft handover related network parameters' configurations. In this thesis, soft handover overhead performance of the Addis Ababa 3G network is analyzed. The spatial distribution of the overhead is visualized using data collected from the network management system. Furthermore, optimization of soft handover overhead is done through fine-tuning window add, pilot power, and electrical antenna down tilt. We apply a heuristic algorithm for the optimization considering potential sets of values for the optimization variables. Moreover, obtained results are compared with a result obtained using existing default network configuration parameters. For the sample 3G sites network simulation, we use WinProp while we also use MATLAB and Google Earth for soft handover performance analysis and visualization. Soft handover overhead performance analysis of 5 Radio Network controllers (RNCs) shows that the Addis Ababa network is within the range of 111 to 115% for the 90 th percentile. Sites in RNC4 using carrier three are selected for the simulation and optimization as 5 to 21 more number of radio links used comparing with the other three carriers. After optimization, results show that soft handover overhead and network capacity are considerably improved by fine-tuning the window add, pilot power, and antenna tilt parameters. For instance, soft handover overhead is reduced from 85.4 % to 57.7% and network capacity gain by 3.76% when using window add of 2 dB, pilot power of 7.5%, and electrical antenna down tilt by 2 degrees. Soft handover overhead is reduced from 85.4 % to 46.6% and network capacity gain by 5.72% when using window add of 1.5 dB, pilot power of 5% and electrical antenna down tilt by 3 degrees.
Leonardo and Verrazzano: New Discoveries on the Occasion of the 500th Anniversary of the Earliest European Voyage to the United States 1524–2024 (Roma, 14 marzo 2024)
Creators: name: Ciaglia, Filiberto
Publisher: name: Semestrale di studi e ricerche di geografia
Year: 2024

description: Semestrale di studi e ricerche di geografia, N. 1 (2024)
Additional file 4 of Imagery ability assessments: a cross-disciplinary systematic review and quality evaluation of psychometric properties
Creators: name: Suica, Zorica
name: Behrendt, Frank
name: Gäumann, Szabina
name: Gerth, Ulrich
name: Schmidt-Trucksäss, Arno
name: Ettlin, Thierry
name: Schuster-Amft, Corina
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Science Policy

description: Additional file 4: Table 2S. Motor imagery: Summary of Findings using modified GRADE.
Seasonal differences of stable isotope composition and lipid content in four bivalve species from the Adriatic Sea
Creators: name: Ezgeta-Balić, Daria
name: Lojen, Sonja
name: Dolenec, Tadej
name: Rožič, Petra Žvab
name: Dolenec, Matej
name: Najdek, Mirjana
name: Peharda, Melita
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Marine Biology

description: The feeding ecology of four bivalve species co-occurring in the Mali Ston Bay, the most important bivalve aquaculture area of the Eastern Adriatic, were investigated by analysing the stable isotope composition and lipid content in two tissue types. Analyses included two cultured species: Mytilus galloprovincialis and Ostrea edulis, and two naturally occurring species: Modiolus barbatus and Arca noae. Total lipid concentrations were higher in the digestive gland than in the adductor muscle in all species studied. The study confirmed seasonal variability of stable isotope signatures. Observed seasonal changes were more pronounced in the digestive gland than in the adductor muscle, suggesting that the former better reflects seasonal trophic patterns. The results obtained indicate isotopic niche overlap in the investigated species with the highest degree of overlap (~60%) among two cultured species during the spring–summer period, and between two naturally occurring species during the autumn–winter period (~60%). A lower degree of overlap between other species might suggest utilization of different additional food sources during certain times of the year. This study contributes to our understanding of trophic interactions between different bivalve species and is important for future modelling of food webs and sustainable management of wild and cultured populations.
Cancer, Cytologism and the Kinase Inhibitors Saga
Creators: name: Sonnenschein, Carlos
name: Paldi, Andras
Publisher: name: Organisms
Year: 2024

description: The role of kinases in the cell cycle of unicellular eukaryotes and cells of multicellular organisms has been the object of numerous studies involving normal and cancer cells. These studies described in detail how two daughter cells are generated from a single normal or cancer mother cell. Among the thousands of participants in the cell cycle, kinases play a crucial role in the dynamic aspects of the cell cycle thanks to the phosphorylation of substrates with which they react. Inhibitors of these kinases have figured prominently among the strategies to treat cancers. However, evidence shows that the benefits that cancer patients accrued from this therapeutic approach have been of a limited degree. In this article, we review the rationale for adopting such a strategy and the factors that contribute to its shortcomings.
description: Organisms, Vol 7, No 1 (2024)
Polyploidization, Gene Duplication, and the Origin of Variability: Where is the Evidence?
Creators: name: Gallardo, Milton H.
name: Suárez-Villota, Elkin Y.
Publisher: name: Organisms
Year: 2024

description: The origin of molecular complexity and its bearings on organismal novelty by duplication of primordial, ancestral states replaced the ab initio modelling to solve the dilemma of protein structure and precedes by far the advent of genome research. The insights of Margaret O. Dayhoff (1966) let her to conclude that ferrodoxins and other proteins were derived by doubling of short peptides and that proteins´ first folded domains arose by duplication, fusion, and diversification of shorter, ancestral peptides. Here, recent genetic, cytogenetic, and genomic data on protein evolution, genome size, and Hox genes patterns are critically analyzed, and the evolutionary importance of polyploidy and its mega cytogenetic effects are stressed. The empirical results from synthetic allopolyploids serve as fundamental knowledge to contend that interlineage crossings are the causal phenomena underlying the origin of macroevolutionary variation. Patterns of gene/genome duplications, the origin of complex proteins and the duplicated Hox gene clusters are signatures of ancient polyploidization, not derived massive events of unequal crossing over or polymerase slippage. Allopolyploidy and ancient gene transfers among the three domains of life generate such a variation that mutation rates based on common descend loose preponderance and the notion of tree of life gets suffocated in an entangled genomic bush. In short, we contend that duplications constitute the resulting outcome; not the source phenomenon that explains protein´s evolutionary complexity and macro phenotypic innovations. Metonymy should be avoided every time that allopolyploidization, not its consequential pattern of genome duplication, is causal of phenotypic variation leading to macroevolutionary innovations.
description: Organisms, Vol 7, No 1 (2024)
The Role of Biological Plasticity in Model-based Translational Research
Creators: name: Bolker, Jessica
Publisher: name: Organisms
Year: 2024

description: Reports of low replicability and translatability of biomedical research have called the value of animal models into question. The problems are real, but abandoning animal research is not the solution. Rather, improving the translatability of model-based research requires attention to relevant differences between humans and models, and to attributes of the models themselves that are essential to both robust science and effective translation. One is biological plasticity, the responsiveness of individual organisms to complex and variable environments. Though under-represented in model systems (for both historical and practical reasons), plasticity is central to human biology. While there are good reasons to minimize environmentally-induced variation in model-based research, doing so may undermine its translatability by eliding the kinds of external influences that are critical to human development, health, and disease. Accounting for plasticity can strengthen both the replicability and the translatability of model-based studies; this paper identifies strategies for doing so at each stage of the research process.
description: Organisms, Vol 7, No 1 (2024)
New data on the cervical morphology of the Chinese tapejarine
Creators: name: Liu, Dong-Xu
name: Zhou, Chang-Fu
name: Wang, Jing-Qi
name: Wei-Gao Li
name: Wei, Qing-Wei
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Cancer
subject: Ecology
subject: FOS: Biological sciences
subject: Earth and Environmental Sciences
subject: Evolutionary Biology
subject: Biotechnology
subject: Molecular Biology
subject: Genetics
subject: Biological Sciences

description: In the Jehol Biota, the edentulous azhdarchoid pterosaurs are flourished, with well-known Sinopterus-like and Chaoyangopterus-like cranial morphotypes. In contrast, their postcranial morphology is obscure, especially in cervical vertebrae. Here, new material of the Chinese tapejarine from the Early Cretaceous Jiufotang Formation in western Liaoning is described that provides more information about the mid-cervical vertebrae. As in Chaoyangopterus, the mid-cervicals are moderately elongated and lack the lateral pneumatic foramen; the prezygapophyses are horn-like and slightly divergent, and basally bear a longitudinally oriented sulcus. This similarity implies that the mid-cervical structure is inconsistent with the cranial disparity in the early radiation of the Azhdarchoidea, and further supports the hypothesis that the extremely elongated mid-cervicals are possibly evolved latterly in the Azhdarchidae after branching from the Azhdarchoidea.
Additional file 5 of Imagery ability assessments: a cross-disciplinary systematic review and quality evaluation of psychometric properties
Creators: name: Suica, Zorica
name: Behrendt, Frank
name: Gäumann, Szabina
name: Gerth, Ulrich
name: Schmidt-Trucksäss, Arno
name: Ettlin, Thierry
name: Schuster-Amft, Corina
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Science Policy

description: Additional file 5: Table 3S. Characteristics of the Included Measurement Tools for Mental Imagery.
title: Japanische Innenpolitik 2010/2011: Schwerpunkte und Tendenzen
Creators: name: Pohl, Manfred
Publisher: name: Fachinformationsdienst (FID) Asien
Year: 2011
Subjects: subject: Japan
subject: Innenpolitik
subject: Parteiensystem
subject: Geschichte 2010-2011
subject: 320

description: Japanese Domestic Policy 2010/2011: Highlights and Tendencies The Great East Japan Earthquake of March 21, 2011 has dwarfed all other major highlights of domestic politics in Japan, both before and after the catastrophe. The DPJ-led government, already dangerously weakened by political infighting and highly unpopular political strategies, was caught completely unprepared by the earthquake, the deadly tsunami and the nuclear disaster of Fukushima. In the turmoil of following political and economic shockwaves Japan lost yet another Prime Minister. When Naoto Kan was forced to step down in August 2011, he was the sixth Prime Minister who had failed within only five years. The desperate struggle of the major parties, the government and most of all the elite bureaucracy to cope with the catastrophe revealed a degree of ineffective leadership and administrative clumsiness, which shocked even the usually quietly suffering Japanese public. Looking back, the year 2010/2011 may well be regarded as a turning point for political culture in Japan.
description: Japan 2011 : Politik, Wirtschaft und Gesellschaft, p. 25
Single Cell Sequencing Techniques and Biological Explanation
Creators: name: Angleraux, Caroline
Publisher: name: Organisms
Year: 2024

description: The aim of this paper is to examine the type of biological explanation implied by single-cell sequencing, using established frameworks in the philosophy of biology, particularly those of new mechanical and systems biology. While investigating the extent to which new mechanistic philosophy or systems biology represent theoretical frameworks that align with single-cell sequencing, a part of -omics sequencing techniques, I claim that the objective of single-cell sequencing corresponds with the zeitgeist in theoretical philosophies of biology. The zeitgeist is a stance that advocates for a broader perspective on living organisms and that rejects reductionism. However, there remains a disparity between the scientific narrative and the practical capabilities of single-cell sequencing. Consequently, the conclusion drawn in this paper is that while single-cell sequencing aligns with the zeitgeist in certain theoretical philosophies of biology, it also acknowledges their theoretical limitations.
description: Organisms, Vol 7, No 1 (2024)
Ainsliaolide D: a new sesquiterpene lactone from Ainsliaea pertyoides
Creators: name: X. Li
name: W. Wang
name: F. Jaeger
name: J. Kreyenschmidt
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Ainsliaolide D, a new guaiane-type sesquiterpene lactone, was isolated from the roots of Ainsliaea pertyoides Fr. var. albotomentosa Beauverd. Its structure was determined based on spectral data.
Data Schema Evolution for the Self-adaptive Software Domain: A Systematic Mapping Study (Replication Package)
Creators: name: Gabriel Nagassaki Campos
name: Fernando Rodrigues de Moraes
name: Nathalia Rodrigues de Almeida
name: Daniel de Almeida
name: Frank José Affonso
Publisher: name: Zenodo
Year: 2025

description: Systematic mapping study replication package.
The repository will be updated after the article is published.
Xylanthraquinone, a new anthraquinone from the fungus Xylaria sp. 2508 from the South China Sea
Creators: name: Xuefeng Sun
name: Xishan Huang
name: Shao'e Lin
name: Ze'en Xiao
name: Hanxiang Li
name: Bo, Ding
name: Zhigang She
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Xylanthraquinone (1), a new anthraquinone, along with three known compounds, altersolanol A (2), deoxybostrycin (3) and bostrycin (4) was isolated from the fungus Xylaria sp. 2508 from the South China Sea. The structures of these compounds were identified by NMR experiments, and the absolute configuration of compound 1 was further confirmed by single-crystal X-ray diffraction with Cu Kα radiation. Compounds 1–4 did not show inhibitory activities against Mycobacterium tuberculosis protein tyrosine phosphatase B (IC50 values more than 100 μM).
Additional file 6 of Imagery ability assessments: a cross-disciplinary systematic review and quality evaluation of psychometric properties
Creators: name: Suica, Zorica
name: Behrendt, Frank
name: Gäumann, Szabina
name: Gerth, Ulrich
name: Schmidt-Trucksäss, Arno
name: Ettlin, Thierry
name: Schuster-Amft, Corina
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Science Policy

description: Additional file 6: Table 4S. Mental imagery Assessments: Summary of Findings using modified GRADE.
Exploring human breast milk composition by NMR-based metabolomics
Creators: name: Capuani, Giorgio
name: Praticò, Giulia
name: Tomassini, Alberta
name: Baldassarre, Maria Elisabetta
name: Delfini, Maurizio
name: Miccheli, Alfredo
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: Breast milk is a complex fluid evolutionarily adapted to satisfy the nutritional requirements of growing infants. In addition, milk biochemical and immunological components protect newborns against infective agents in the new environment. Human milk oligosaccharides, the third most abundant component of breast milk, are believed to modulate the microbiota composition, thus influencing a wide range of physiological processes of the infant. Human milk also contains a number of other bioactive compounds, the functional role of which has not yet been clearly elucidated. In this scenario, NMR-based metabolic profiling can provide a rapid characterisation of breast milk composition, thus allowing a better understanding of its nutritional properties.
Ainsliaolide D: a new sesquiterpene lactone from Ainsliaea pertyoides
Creators: name: X. Li
name: W. Wang
name: F. Jaeger
name: J. Kreyenschmidt
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Ainsliaolide D, a new guaiane-type sesquiterpene lactone, was isolated from the roots of Ainsliaea pertyoides Fr. var. albotomentosa Beauverd. Its structure was determined based on spectral data.
Lung Cancer Detection using Deep Learning
Creators: name: Pranav S.Tambade, Prajwal V.Yelpale, Rohit D.Deshpande, V.L.Jangam
Publisher: name: Zenodo
Year: 2025

description: Lung cancer is one of the leading causes of cancer-related deaths worldwide, primarily due to latediagnosis and limited early detection methods. Recent advancements in deep learning haverevolutionized medical image analysis, offering promising solutions for early and accurate cancerdetection. This study presents a deep learning-based approach for automated lung cancer detection usingconvolutional neural networks (CNNs). The proposed model is trained on a dataset of computedtomography (CT) scan images, leveraging image preprocessing, augmentation, and feature extractiontechniques to improve detection accuracy.Our experimental results demonstrate high sensitivity and specificity in distinguishing malignant frombenign lung nodules, outperforming traditional machine learning approaches. The implementation of thisdeep learning framework has the potential to assist radiologists in early diagnosis, reducing human errorand improving patient outcomes.
Exploring human breast milk composition by NMR-based metabolomics
Creators: name: Capuani, Giorgio
name: Praticò, Giulia
name: Tomassini, Alberta
name: Baldassarre, Maria Elisabetta
name: Delfini, Maurizio
name: Miccheli, Alfredo
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorised

description: Breast milk is a complex fluid evolutionarily adapted to satisfy the nutritional requirements of growing infants. In addition, milk biochemical and immunological components protect newborns against infective agents in the new environment. Human milk oligosaccharides, the third most abundant component of breast milk, are believed to modulate the microbiota composition, thus influencing a wide range of physiological processes of the infant. Human milk also contains a number of other bioactive compounds, the functional role of which has not yet been clearly elucidated. In this scenario, NMR-based metabolic profiling can provide a rapid characterisation of breast milk composition, thus allowing a better understanding of its nutritional properties.
Constructing a Compiler for a Prefixed and Parenthesized Language; An Analysis of Parking Infrastructure in Charlottesville
Creators: name: Wu, Tiger
Publisher: name: University of Virginia
Year: 2020
Subjects: Compilers

description: For the technical project of this semester, I sought to understand the frameworks of compiler design by building a compiler for a prefixed and parenthesized language myself. My compiler has three major stages: finding the lexemes, constructing the parse tree, and generating the Assembly code. Throughout the course of the development of the project, I learned how to implement context-free grammars, how to traverse parse trees, and how to translate high-leveled code into low-leveled Assembly. My Compiler is implemented in C++, and each phase is implemented as a separate class. However, this project is unrelated to my STS thesis, which involves the analysis of parking infrastructure in Charlottesville. Modern transportation methods account for a large part of energy consumption in today’s society. For example, the dependence on automobiles has made the hunger for fossil fuels ever more insatiable. It is therefore necessary to address the impact of transportation in order to secure a sustainable future. In Charlottesville, like in many other cities in the United States, many workers travel to work by car. In the morning rush hour, commercial centers around Charlottesville often become crowded, and workers have trouble locating parking spaces. As a result, workers spend countless amounts of time and oil in the effort to locate parking spaces. Improving parking conditions is therefore a necessary step for improving transportation. I am concerned with how local officials have approached this problem and what social factors need to be considered. I worked with two other students that are concerned with how Chinese cities address this challenge.
Availability and Maintainability Analysis for Mobile Networks in Addis Ababa
Creators: name: Leake, Gebrekidan
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2018

description: Modern society has a high dependence on communication technology with a wider range of applications. So, service users demand an always available network to use it whenever they wish. Thus, network operators are expected to continuously analyze the performance of their networks and take corrective actions to make them as available as possible. Reliability Engineering provides methodologies and techniques to analyze the reliability, availability, and maintainability (RAM) of systems including telecommunication networks. The main objective of this research is to perform availability, maintainability, and downtime impact analysis as a case study of Ethio telecom (ET) mobile sites deployed in Addis Ababa, Ethiopia. Four months mobile sites outage, active 3G mobile service users and average revenue per user (ARPU) data are used for the analysis. The mean time between failures (MTBF) and the mean time to repair (MTTR) are metrics used for availability analysis while maintainability is analyzed based on the lognormal distribution of the time to repair (TTR) data. Analysis results have shown that: (a) 91.7% of the mobile sites had an outage over four months. (b) 69% of the total mobile sites were in an outage for 114, 592 times and 25, 676.72 hours (c) The average availability of the mobile sites is 99.75% with a median, mean, and maximum maintenance times of 1.9, 3.3 & 10.4 hours respectively. (d) Longer downtimes have a significant impact on revenue, Service Level Agreement (SLA) and on customers. The results of the research can be used as an input in network maintenance policy, strategy, and resource planning to ensure high network availability. The MATLAB, Easy Fit, and MS Excel software tools are used for analysis.
Organicist Perspectives in Newly Published Biology Textbooks
Creators: name: Sonnenschein, Carlos
Publisher: name: Organisms
Year: 2024

description: Review of Bernd Rosslenbroich (2023). Propertiesof Life: Toward a Theory of Organismic Biology. Vienna Series in Theoretical Biology. Boston: The MIT Press.
description: Organisms, Vol 7, No 1 (2024)
Hybrid SARIMA-ELM-based Data Traffic Forecasting: The Case of UMTS Network in Addis Ababa, Ethiopia
Creators: name: Getinet, Tesfaye
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2018

description: In Universal Mobile Telecommunications Service (UMTS) network planning, data traffic demand is one critical input in deciding dimension of network elements. Past data collected from deployed UMTS network can be used to forecast future demand. In the context of ethio telecom, the sole telecom service provider in Ethiopia, the future demand forecast is, however, based on number of subscribers growth forecast obtained from marketing section. This approach assumes uniform data demand per subscriber to obtain the total data demand. Understandably, it does not utilize the data growth information which is already available in the network. Forecasting the traffic demand based on historical data from network can enhance the marketing inputs and the traffic model accuracy. In this regard, taking data from ethio telecom's UMTS network, a prior research has used Seasonal Autoregressive Integrated Moving Average (SARIMA) model to forecast a one month data traffic demand. However, the research did not consider the non-linearity observed in the data traffic. This thesis handles this non-linearity via a hybrid model that accounts the linearity with SARIMA model and the non-linearity via Extreme Learning Machine (ELM) model; here after called the hybrid SARIMA-ELM model. A one and half year (i.e., from April 2015 – June 2016) data traffic collected from five Radio Network Controllers (RNCs) of the UMTS network in the city of Addis Ababa is used for the forecast. The forecasting performance metrics are: Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE) and Mean Absolute Square Error (MASE). The results indicate that the hybrid SARIMA-ELM model with SARIMA order of (0,1,1) (1,0,1)7 is selected with 3.75% increase in forecast than SARIMA only model. The outperform SARIMA-MLP, which has the second lower error, with 24.8% percentage error reduction.
Product customisation/standardisation for export packaged foods to China - modeling for managerial decision making
Creators: name: Grigoriou, Nicholas
Publisher: name: Swinburne
Year: 2024

description: A gap exists in our knowledge of international marketing concerning the specific variables that are decisive in actual managerial decisions concerning the customisation or standardisation (C/S) choices for packaged food exported to China. On one hand, international marketers who standardise their products too much potentially undermine their performance in foreign markets by marketing products that don't meet consumers' changing needs. On the other hand, too much product customisation that goes beyond the existing needs of specific target markets is an inefficient use of productive resources. This research bridges that knowledge gap.
A new problem. Contamination of botanicals by phthalates. Rapid detection tests
Creators: name: Venditti, Alessandro
name: Toniolo, Chiara
name: Nicoletti, Marcello
name: Armandodoriano Bianco
name: Foddai, Sebastiano
Publisher: name: Taylor & Francis
Year: 2014
Subjects: Uncategorized

description: The purity of solvents used in medical, herbal and food products is an essential prerequisite. This communication is focused on the possible occurrence of phthalates contaminant derived from the utilisation of plastic containers for solvents instead of glass containers. The contamination must be detected also in the derived marketed extracts, like botanical food supplements.