bluuebunny/crossref_metadata_2025_split huggingface dataset:
Toward explainable heat load patterns prediction for district heating
Authors: Dang L. Minh , Shin Jihye , Li Yanfen , Tightiz Lilia , Nguyen Tan N. , Song Hyoung-Kyu , Moon Hyeonjoon 
Published: May 2023

AbstractHeat networks play a vital role in the energy sector by offering thermal energy to residents in certain countries. Effective management and optimization of heat networks require a deep understanding of users' heat usage patterns. Irregular patterns, such as peak usage periods, can exceed the design capacities of the system. However, previous work has mostly neglected the analysis of heat usage profiles or performed on a small scale. To close the gap, this study proposes a data-driven approach to analyze and predict heat load in a district heating network. The study uses data from over eight heating seasons of a cogeneration DH plant in Cheongju, Korea, to build analysis and forecast models using supervised machine learning (ML) algorithms, including support vector regression (SVR), boosting algorithms, and multilayer perceptron (MLP). The models take weather data, holiday information, and historical hourly heat load as input variables. The performance of these algorithms is compared using different training sample sizes of the dataset. The results show that boosting algorithms, particularly XGBoost, are more suitable ML algorithms with lower prediction errors than SVR and MLP. Finally, different explainable artificial intelligence approaches are applied to provide an in-depth interpretation of the trained model and the importance of input variables.
Fast vehicle detection based on colored point cloud with bird’s eye view representation
Authors: Wang Lele , Huang Yingping 
Published: May 2023

AbstractRGB cameras and LiDAR are crucial sensors for autonomous vehicles that provide complementary information for accurate detection. Recent early-level fusion-based approaches, flourishing LiDAR data with camera features, may not accomplish promising performance ascribable to the immense difference between two modalities. This paper presents a simple and effective vehicle detection method based on an early-fusion strategy, unified 2D BEV grids, and feature fusion. The proposed method first eliminates many null point clouds through cor-calibration. It augments point cloud data by color information to generate 7D colored point cloud, and unifies augmented data into 2D BEV grids. The colored BEV maps can then be fed to any 2D convolution network. A peculiar Feature Fusion (2F) detection module is utilized to extract multiple scale features from BEV images. Experiments on the KITTI public benchmark and Nuscenes dataset show that fusing RGB image with point cloud rather than raw point cloud can lead to better detection accuracy. Besides, the inference time of the proposed method reaches 0.05 s/frame thanks to its simple and compact architecture.
Active fixation as an efficient coding strategy for neuromorphic vision
Authors: Testa Simone , Sabatini Silvio P. , Canessa Andrea 
Published: May 2023

AbstractContrary to a photographer, who puts a great effort in keeping the lens still, eyes insistently move even during fixation. This benefits signal decorrelation, which underlies an efficient encoding of visual information. Yet, camera motion is not sufficient alone; it must be coupled with a sensor specifically selective to temporal changes. Indeed, motion induced on standard imagers only results in burring effects. Neuromorphic sensors represent a valuable solution. Here we characterize the response of an event-based camera equipped with fixational eye movements (FEMs) on both synthetic and natural images. Our analyses prove that the system starts an early stage of redundancy suppression, as a precursor of subsequent whitening processes on the amplitude spectrum. This does not come at the price of corrupting structural information contained in local spatial phase across oriented axes. Isotropy of FEMs ensures proper representations of image features without introducing biases towards specific contrast orientations.
Hemodynamic and recirculation performance of dual lumen cannulas for venovenous extracorporeal membrane oxygenation
Authors: Parker Louis P. , Svensson Marcial Anders , Brismar Torkel B. , Broman Lars Mikael , Prahl Wittberg Lisa 
Published: May 2023

AbstractVenovenous extracorporeal membrane oxygenation (ECMO) can be performed with two single lumen cannulas (SLCs) or one dual-lumen cannula (DLC) where low recirculation fraction ($${R}_{f}$$Rf) is a key performance criterion. DLCs are widely believed to have lower$${R}_{f}$$Rf, though these have not been directly compared. Similarly, correct positioning is considered critical although its impact is unclear. We aimed to compare two common bi-caval DLC designs and quantify$${\mathrm{R}}_{\mathrm{f}}$$Rfin several positions. Two different commercially available DLCs were sectioned, measured, reconstructed, scaled to 27Fr and simulated in our previously published patient-averaged computational model of the right atrium (RA) and venae cavae at 2–6 L/min. One DLC was then used to simulate ± 30° and ± 60° rotation and ± 4 cm insertion depth. Both designs had low$${R}_{f}$$Rf(< 7%) and similar SVC/IVC drainage fractions and pressure drops. Both cannula reinfusion ports created a high-velocity jet and high shear stresses in the cannula (> 413 Pa) and RA (> 52 Pa) even at low flow rates. Caval pressures were abnormally high (16.2–23.9 mmHg) at low flow rates. Rotation did not significantly impact$${R}_{f}$$Rf. Short insertion depth increased$${R}_{f}$$Rf(> 31%) for all flow rates whilst long insertion only increased$${R}_{f}$$Rfat 6 L/min (24%). Our results show that DLCs have lower$${R}_{f}$$Rfcompared to SLCs at moderate-high flow rates (> 4 L/min), but high shear stresses. Obstruction from DLCs increases caval pressures at low flow rates, a potential reason for increased intracranial hemorrhages. Cannula rotation does not impact$${R}_{f}$$Rfthough correct insertion depth is critical.
Spontaneously occurring tumors in different wild-derived strains of hydra
Authors: Boutry Justine , Buysse Marie , Tissot Sophie , Cazevielle Chantal , Hamede Rodrigo , Dujon Antoine M. , Ujvari Beata , Giraudeau Mathieu , Klimovich Alexander , Thomas Frédéric , Tökölyi Jácint 
Published: May 2023

AbstractHydras are freshwater cnidarians widely used as a biological model to study different questions such as senescence or phenotypic plasticity but also tumoral development. The spontaneous tumors found in these organisms have been so far described in two female lab strains domesticated years ago (Hydra oligactis and Pelmatohydra robusta) and the extent to which these tumors can be representative of tumors within the diversity of wild hydras is completely unknown. In this study, we examined individuals isolated from recently sampled wild strains of different sex and geographical origin, which have developed outgrowths looking like tumors. These tumefactions have common features with the tumors previously described in lab strains: are composed of an accumulation of abnormal cells, resulting in a similar enlargement of the tissue layers. However, we also found diversity within these new types of tumors. Indeed, not only females, but also males seem prone to form these tumors. Finally, the microbiota associated to these tumors is different from the one involved in the previous lineages exhibiting tumors. We found that tumorous individuals hosted yet undescribed Chlamydiales vacuoles. This study brings new insights into the understanding of tumor susceptibility and diversity in brown hydras from different origins.
Knockdown of mechanosensitive adaptor Hic-5 ameliorates post-traumatic osteoarthritis in rats through repression of MMP-13
Authors: Miyauchi Aya , Noguchi Masahito , Lei Xiao-Feng , Sakaki Masashi , Kobayashi-Tanabe Momoko , Haraguchi Shogo , Miyazaki Akira , Kim-Kaneyama Joo-ri 
Published: May 2023

AbstractOsteoarthritis (OA) is the most common joint disease associated with articular cartilage destruction. Matrix metalloproteinase-13 (MMP-13) has an essential role in OA pathogenesis by degradation of collagen II, a major component of articular cartilage. Hydrogen peroxide-inducible clone-5 (Hic-5; TGFB1I1), a transforming growth factor-β-inducible mechanosensor, has previously been reported to promote OA pathogenesis by upregulating MMP-13 expression in mouse osteoarthritic lesions. In our current study, immunohistochemical analysis showed that Hic-5 protein expression was increased in human OA cartilage compared with normal cartilage. Functional experiments demonstrated that Hic-5 and MMP-13 expression was increased by mechanical stress, and mechanical stress-induced MMP-13 expression was suppressed by Hic-5 siRNA in human chondrocytes. Moreover, intracellular localization of Hic-5 shifted to the nucleus from focal adhesions in human chondrocytes subjected to mechanical stress, and nuclear Hic-5 increased MMP-13 gene expression. In vivo, intra-articular injection of Hic-5 siRNA decreased the Osteoarthritis Research Society International score and MMP-13 protein expression in articular cartilage of OA rats. Our findings suggest that Hic-5 regulates transcription of MMP-13 in human chondrocytes, and Hic-5 may be a novel therapeutic target for OA because OA progression was suppressed by intra-articular injection of Hic-5 siRNA in rats.
A two-sample Mendelian randomization study of circulating lipids and deep venous thrombosis
Authors: Luo Pan , Yuan Qiling , Wan Xianjie , Yang Mingyi , Xu Peng 
Published: May 2023

AbstractIn view of the current debate about the relationship between lipids and deep venous thrombosis (DVT) in clinical studies, a two-sample Mendelian randomization (MR) study was conducted to clarify the effects of five circulating lipids (apolipoprotein A1, apolipoprotein B, low-density lipoprotein, high-density lipoprotein and triglycerides) on DVT from the perspective of genetic inheritance. Five lipids (exposure) were analysed by MR with DVT (outcome) from two different data sources. For the analysis, we used inverse variance weighting and a weighted mode, weighted median, simple mode and MR–Egger regression to analyse the effect of circulating lipids on DVT. In addition, we used the MR–Egger intercept test, Cochran’s Q test and “leave-one-out” sensitivity analysis to evaluate horizontal multiplicity, heterogeneity and stability, respectively, in the analysis. In the analysis, the two-sample Mendelian randomization analysis of five common circulating lipids and DVT showed that common circulating lipids had no causal effect on DVT, which is somewhat inconsistent with the findings of many published observational studies. Based on our results, our two-sample MR analysis failed to detect a statistically significant causal relationship between five common circulating lipids and DVT.
Automatic landmarking identifies new loci associated with face morphology and implicates Neanderthal introgression in human nasal shape
Authors: Li Qing , Chen Jieyi , Faux Pierre , Delgado Miguel Eduardo , Bonfante Betty , Fuentes-Guajardo Macarena , Mendoza-Revilla Javier , Chacón-Duque J. Camilo , Hurtado Malena , Villegas Valeria , Granja Vanessa , Jaramillo Claudia , Arias William , Barquera Rodrigo , Everardo-Martínez Paola , Sánchez-Quinto Mirsha , Gómez-Valdés Jorge , Villamil-Ramírez Hugo , Silva de Cerqueira Caio C. , Hünemeier Tábita , Ramallo Virginia , Wu Sijie , Du Siyuan , Giardina Andrea , Paria Soumya Subhra , Khokan Mahfuzur Rahman , Gonzalez-José Rolando , Schüler-Faccini Lavinia , Bortolini Maria-Cátira , Acuña-Alonzo Victor , Canizales-Quinteros Samuel , Gallo Carla , Poletti Giovanni , Rojas Winston , Rothhammer Francisco , Navarro Nicolas , Wang Sijia , Adhikari Kaustubh , Ruiz-Linares Andrés 
Published: May 2023

AbstractWe report a genome-wide association study of facial features in >6000 Latin Americans based on automatic landmarking of 2D portraits and testing for association with inter-landmark distances. We detected significant associations (P-value <5 × 10−8) at 42 genome regions, nine of which have been previously reported. In follow-up analyses, 26 of the 33 novel regions replicate in East Asians, Europeans, or Africans, and one mouse homologous region influences craniofacial morphology in mice. The novel region in 1q32.3 shows introgression from Neanderthals and we find that the introgressed tract increases nasal height (consistent with the differentiation between Neanderthals and modern humans). Novel regions include candidate genes and genome regulatory elements previously implicated in craniofacial development, and show preferential transcription in cranial neural crest cells. The automated approach used here should simplify the collection of large study samples from across the world, facilitating a cosmopolitan characterization of the genetics of facial features.
Multispecies autocatalytic RNA reaction networks in coacervates
Authors: Ameta Sandeep , Kumar Manoj , Chakraborty Nayan , Matsubara Yoshiya J. , S Prashanth , Gandavadi Dhanush , Thutupalli Shashi 
Published: May 2023

AbstractRobust localization of self-reproducing autocatalytic chemistries is a key step in the realization of heritable and evolvable chemical systems. While autocatalytic chemical reaction networks already possess attributes such as heritable self-reproduction and evolvability, localizing functional multispecies networks within complex primitive phases, such as coacervates, has remained unexplored. Here, we show the self-reproduction of the Azoarcus ribozyme system within charge-rich coacervates where catalytic ribozymes are produced by the autocatalytic assembly of constituent smaller RNA fragments. We systematically demonstrate the catalytic assembly of active ribozymes within phase-separated coacervates—both in micron-sized droplets as well as in a coalesced macrophase, underscoring the facility of the complex, charge-rich phase to support these reactions in multiple configurations. By constructing multispecies reaction networks, we show that these newly assembled molecules are active, participating both in self- and cross-catalysis within the coacervates. Finally, due to differential molecular transport, these phase-separated compartments endow robustness to the composition of the collectively autocatalytic networks against external perturbations. Altogether, our results establish the formation of multispecies self-reproducing reaction networks in phase-separated compartments which in turn render transient robustness to the network composition.
Vegetated coastal ecosystems in the Southwestern Atlantic Ocean are an unexploited opportunity for climate change mitigation
Authors: Hatje Vanessa , Copertino Margareth , Patire Vinicius F. , Ovando Ximena , Ogbuka Josiah , Johnson Beverly J. , Kennedy Hilary , Masque Pere , Creed Joel C. 
Published: May 2023

AbstractVegetated coastal ecosystems (mangroves, seagrasses, and saltmarshes, often called Blue Carbon ecosystems) store large carbon stocks. However, their regional carbon inventories, sequestration rates, and potential as natural climate change mitigation strategies are poorly constrained. Here, we systematically review organic carbon storage and accumulation rates in vegetated coastal ecosystems across the Central and Southwestern Atlantic, extending from Guyana (08.28°N) to Argentina (55.14°S). We estimate that 0.4 Pg organic carbon is stored in the region, which is approximately 2-5% of global carbon stores in coastal vegetated systems, and that they accumulate 0.5 to 3.9 Tg carbon annually. By ecosystem type, mangroves have the largest areal extent and contribute 70-80% of annual organic carbon accumulation, with Brazil hosting roughly 95% of mangrove stocks. Our findings suggest that organic carbon accumulation in the region is equivalent to 0.7 to 13% of global rates in vegetated coastal ecosystems, indicating the importance of conserving these ecosystems as a nature-based approach for mitigating and adapting to climate change.
Soil organic carbon models need independent time-series validation for reliable prediction
Authors: Le Noë Julia , Manzoni Stefano , Abramoff Rose , Bölscher Tobias , Bruni Elisa , Cardinael Rémi , Ciais Philippe , Chenu Claire , Clivot Hugues , Derrien Delphine , Ferchaud Fabien , Garnier Patricia , Goll Daniel , Lashermes Gwenaëlle , Martin Manuel , Rasse Daniel , Rees Frédéric , Sainte-Marie Julien , Salmon Elodie , Schiedung Marcus , Schimel Josh , Wieder William , Abiven Samuel , Barré Pierre , Cécillon Lauric , Guenet Bertrand 
Published: May 2023

AbstractNumerical models are crucial to understand and/or predict past and future soil organic carbon dynamics. For those models aiming at prediction, validation is a critical step to gain confidence in projections. With a comprehensive review of ~250 models, we assess how models are validated depending on their objectives and features, discuss how validation of predictive models can be improved. We find a critical lack of independent validation using observed time series. Conducting such validations should be a priority to improve the model reliability. Approximately 60% of the models we analysed are not designed for predictions, but rather for conceptual understanding of soil processes. These models provide important insights by identifying key processes and alternative formalisms that can be relevant for predictive models. We argue that combining independent validation based on observed time series and improved information flow between predictive and conceptual models will increase reliability in predictions.
Multi‐type defect detection and location based on non‐destructive impedance spectrum measurement for underground power cables
Authors: Su Jingang , Wei Liqiang , Zhang Peng , Li Yan , Liu Yunpeng 
Published: May 2023

AbstractPower cable defect detection and location is a crucial aspect in power asset maintenance. Impedance spectrum measurement can be used as a non‐destructive tool for cable monitoring. Defects from overheating and moisture ingress are investigated by the authors, and it is shown that multi‐type cable defects can be detected and located by this methodology. With both electromagnetic analysis and experimental investigation, the relation between impedance variation and the dielectric permittivity is studied to reveal the method's mechanism. An approach to implement such impedance measurement online is proposed and its perspectives in terms of sensitivity is investigated by field scale tests. It is shown that 2% impedance variation due to defect should be detectable. Field scale tests show perspectives for online application with signal coupling through a high‐frequency current transformer with focus on the differences in waveforms obtained from the impedance measurements.
Effects of BRCA1 and BRCA2 gene mutations on female fertility among Chinese women: A systematic review and meta-analysis
Authors: Ma Ruichen , Ma Yuhua , Zhao Jing 
Published: May 2023

Purpose:It is still inconsistent whether the mutations of BRCAs could reduce the female fertility by increasing the prevalence of breast and ovarian cancer. So we focus on the effects of BRCAs mutations onthe female fertility among Chinese women in this meta-analysis.Material and Method:The PubMed, Medline, Scopus, Embase, Science Direct, Web of Knowledge and China National Knowledge Infrastructure (CNKI) databases were methodically searched to eclectic relevant studies published from 2000 to 2022 using the key words“BRCA” and “mutation” and “female fertility or ovarian cancer or cervical cancer or breast cancer” and “China or Chinese or Asia or Asian”. The random effects models in RevMan 5.3 software were used to include and evaluate both longitudinal research and randomized controlled trials.Results:This meta-analysis included 13 studies with a total of 10689 Chinese participants. Contact the control group, positive correlations between the mutations of BRCAs and female cancers were shown among the Chinese women from 35 to 60 years (OR=5.26) (P<0.00001).Conclusions:The mutations of BRCAs may increase the incidence of cancer among Chinese women, especially the older than 40 years, and reduce female fertility, in which more prospective studies on the fertility outcomes are still needed in the future
Development and Validation of an optimized syndromes block for reed solomon decoder
Authors: Mohamed Elghayyaty , Azeddine Wahbi , Anas El Habti El Idrissi , Omar Mouhib , Hadjoudja Abdelkader 
Published: May 2023

Reed Solomon decoder plays an indispensable role in many applications involving data transmission, storage applications and Video broadcasting DVB-T and DVB-S2. In this work we propose a new optimized parallel syndrome block [67] for the Reed Solomon RS code (15,11) used in digital Video broadcasting DVB-T. Therefore, this proposed parallel block is compared to the serial syndrome block existing. On the basis of this technique a new architecture based on three syndromes in parallel is developed. This technique reduces both the energy consumption and the number of iterations. The RS code (15, 11) is composed of 255 symbols that are multiples of 3. The symbols are entered in parallel in the syndrome block.These decoding algorithms developed in this work are compared with the existing algorithms, and they are evaluated through a simulation using the hardware description language VHDL, then they are implemented on a Xilinx Spartan type FPGA card using the XILINX software.
Editorial
Authors: Reimer Jens 
Published: May 2023

Liebe Leserinnen und Leser,die Coronapandemie ist glücklicherweise vorüber, ganz los
lässt sie uns dennoch nicht. Zwei Beiträge unserer aktuellen Ausgabe
stehen in Verbindung mit diesem Thema, doch dazu später. Haben Sie noch
Ihren Berufsstart vor Augen und wie Sie sich der Suchttherapie als Fach
angenähert haben? Was hat Sie gereizt, welche Qualifikationsschritte haben
Sie durchlaufen? Helena Amberg und Jann Schumacher aus Zürich haben sich mit
der Frage des Kompetenzprofils von Fachpersonal in Suchthilfe und
–prävention befasst.
Klinische Ernährung bei Covid-19 Patienten – Eine
systematische Literaturübersicht
Authors: Spiess Michaela , Weimann Arved 
Published: May 2023

Zusammenfassung
EinleitungAktuell fehlt die Evidenz zur klinischen Ernährung bei
Covid-19. Ziel der Arbeit: Systematischer Überblick über die
klinische Ernährung bei Covid-19.
Material und MethodeEine systematische Literatursuche: 2 Meta-Analysen, 12
systematische Reviews und Meta-Analysen, 9 prospektive randomisierte
kontrollierte Studien, 3 prospektive Observationsstudien, 7 retrospektive
Studien, 25 narrative Reviews.
Ergebnisse a) Adipöse Patienten haben ein erhöhtes Risiko
auf einen schweren Krankheitsverlauf, b) es gibt einen Zusammenhang zwischen
Adipositas und erhöhtem Sterberisiko, c) die Covid-19 Mortalität
steigt ab einem BMI>27 kg/m², in allen BMI-
Klassen um 1,6% pro 1 kg/m² bei Gewichtszunahme,
bei starker Adipositas (> 40–45 BMI) um das 1,5 bis
2-fache und pro 5 kg/m², d) das Risiko für einen
schweren Covid-19 Verlauf steigt ebenso bei erhöhtem viszeralen
Fettgewebeanteil, Gesamtkörperfettmasse und Oberbauchumfang, e) die
Sterblichkeitsrate kann bei mangelernährten Covid-19 Patienten 10-mal
höher sein, f) das Serumalbumin liefert Hinweise auf einen schlechten
Krankheitsverlauf, g) eine enterale Omega-3-Fettsäuren-Zufuhr
könnte die Nierenfunktion stabilisieren und das Outcome verbessern, h)
Lebensmittel mit niedrigen glykämischen Index sollten bevorzugt werden,
i) ein Vitamin D Mangel ist zu vermeiden, eine tägliche Vitamin D und
Zink Supplementierung kann von Vorteil sein, j) einmalig hochdosiertes Vitamin D
und enterales Vitamin C bewirkt keinen Nutzen, jedoch könnte das
Thromboserisiko reduziert und mit Zink die Antikörperreaktion
verstärkt werden, k) eine ernährungsmedizinische Intervention
reduziert die Sterblichkeit.
Schlussfolgerung Screening und Erfassung des Ernährungszustands
sind bei Covid-19 Patienten von Bedeutung. Insgesamt liegen unzureichend
klinische Ergebnisse zur spezifischen Ernährungstherapie vor.