bluuebunny/crossref_metadata_2025_split huggingface dataset:
MPPT techniques for photovoltaic systems: a systematic review in current trends and recent advances in artificial intelligence
Authors: Boubaker Olfa 
Published: December 2023

AbstractOver the past decades, solar photovoltaic (PV) energy has been the most valuable green energy. It is renowned for its sustainability, environmentally friendly nature, and minimal maintenance costs. Several methods aiming to extract the highest photovoltaic energy are found in the vast literature. The aim of this systematic review is to focus on current trends and the most recent advances in the field. A “Scopus” bibliographic survey is conducted around survey and research articles published over the past three years (2019–2022). Over the selected works, different taxonomies of maximum power point tracking (MPPT) approaches are found. The list of associated performance criteria is also established, current trends, future directions and challenges in the field are well identified. This survey paper could be a useful reference for researchers and companies concerned by the sustainable development goals (GSD) for clean energy production and climate change.
A Quantum-Inspired Direct Learning Strategy for Positive and Unlabeled Data
Authors: Zhang Chenguang , Du Xuejiao , Zhang Yan 
Published: December 2023

AbstractLearning from only positive and unlabeled (PU) data has broad applications in fields such as web data mining, product recommendations and medical diagnosis, which aims to train a binary classifier in the absence of negative labeled data. However, due to the lack of negative label information, prevailing PU learning methods usually rely on prior knowledge of unknown class distributions heavily. In fact, without additional constraints imposed by the prior knowledge, a direct learning strategy to coordinate the underlying clustering information in unlabeled data with the label information from positive training data is often considered challenging. To tackle this challenge, we propose a direct PU learning strategy using quantum formalization. By employing neural networks as backends, the samples are mapped into two-qubit composite systems, which should be understood here as mathematical entities encapsulating various classical distributions of two classical bits. Subsequently, the two qubits within the systems are trained to be as independent as possible from each other, capturing patterns of different classes. At the same time, their measurement results serving as the model outputs are encouraged to be maximally dissimilar. These characteristics enable effective training of classifiers on PU data. After formulating an appropriate discriminant rule, we introduce a quantum-inspired PU method named qPU using the direct learning strategy. This method not only has the potential to alleviate parameter sensitivity issues caused by prior estimation in other methods but is also straightforward to implement. Finally, experiments conducted on 13 classical datasets validate the effectiveness of qPU.
A longitudinal study of endoscopic naso-leakage negative pressure drainage for anastomotic leak after esophagectomy
Authors: Liu Xin-Yang , He Meng-Jiang , Liu Yan-Bo , Yin Hao , Tan Li-Jie , Zhou Ping-Hong , Lin Miao 
Published: December 2023

Abstract
Background and aims
Postoperative anastomotic leak is a threatening complication after esophagectomy. This study aims to evaluate the efficacy of endoscopic naso-leakage negative pressure drainage for anastomotic leak by longitudinal analyses, so as to focus on the intra-individual changes associated with the drainage in the disease course and to minimize the between-subject variations.

Methods
We conducted a retrospective longitudinal study. We hypothesize that maximum temperature (Tmax), maximum heart rate (HRmax), White blood cell count (WBC), and C reactive protein (CRP) had a two-piece linear spline growth curve with a notch at the time of drainage. Linear mixed-effects regressions were used to test the hypothesis of whether endoscopic naso-leakage negative pressure drainage changed the pattern of development of these clinical parameters with time.

Results
Thirty patients were included, among which 83.3% were male, with a median age of 77 years. The median postoperative time to drainage was 16.5 days (range 6-66). Observations for Tmax, HRmax, WBC, CRP and PCT were 1366, 1372, 394, 296 and 290, respectively. After adjusting for age, sex, and body mass index, Tmax, HRmax, WBC and CRP showed similar pattern. There was no significant change over time before naso-leakage negative pressure drainage, while the four parameters all decreased significantly over time after naso-leakage negative pressure drainage.

Conclusions
The slope over time of Tmax, HRmax, WBC and CRP changed significantly after naso-leakage negative pressure drainage. Naso-leakage negative pressure drainage brought gradual decrease of these inflammatory parameters and could serve as a promising management for postoperative anastomotic leak after esophagectomy.
Parliament and Revolution: Poland, Finland, and the End of Empire in the Early Twentieth Century
Authors: Marzec Wiktor , Turunen Risto 
Published: December 2023

AbstractThis article explores the political trajectories of the early twentieth-century Grand Duchy of Finland and the Kingdom of Poland in the context of the “global parliamentary moment,” when the constitutional script of revolution competed with the more daring script of social revolution. We scrutinize contrastive political choices of socialist parties in these two western borderlands of the Russian Empire. Finland and Poland emerged as independent parliamentary states in 1917–1918 but under manifestly different circumstances. The Finnish socialist party had enjoyed a stable foothold in the formally democratic but practically impotent national parliament since 1907, whereas the Polish socialists boycotted the Russian Duma and envisioned a democratic legislature as a guaranty of a Poland with true people’s power. The Finnish socialists later abandoned parliamentarism in favor of an armed revolution, in 1918, whereas most of their Polish counterparts used the parliamentary ideal of popular sovereignty to restrain the revolutionary upsurge. We argue that the socialist understandings of parliamentarism and revolution were of crucial importance at this juncture. We draw from a broad corpora of political press reports, handwritten newspapers, and leaflets to show how the diachronic sequence of events and synchronic power relations inside the Russian Empire made certain stances toward parliamentarism and revolution more likely at different points in time.
Auranofin attenuates Schistosoma mansoni egg-induced liver granuloma and fibrosis in mice
Authors: Atia A.F. , Abou-Hussien N.M. , Sweed D.M. , Sweed E. , Abo-khalil N.A. 
Published: December 2023

Abstract
Schistosomiasis is a serious tropical disease. Despite extensive research into the etiology of liver fibrosis, effective therapeutic options remain limited. This study aims to assess the effectiveness of auranofin in treating hepatic granuloma and fibrogenesis produced by Schistosoma (S.) mansoni eggs. Auranofin is a gold complex that contains thioglucose tetraacetate and triethylphosphine. Eighty BALB/c male mice were divided into four groups (n=20/group): negative control (GI), positive control (GII), and early (GIII) and late (GIV) treatment groups with oral auranofin according to beginning of treatment 4th week and 6th week post-infection. Mice were infected subcutaneously in a dose of 60±10 cercariae/mouse. Worm counts, egg loads, and oogram patterns were determined. Biochemical, histological, and immunostaining of interleukin-1β (IL-1β), Sirtuin 3 (SIRT3), and smooth muscle actin (SMA) were assessed. GIII showed a significant decrease in the total S. mansoni worm burden and ova/gram in liver tissue (with reduction percent of 63.07% and 78.26%, respectively). Schistosomal oogram patterns, immature and mature ova, also showed a significant decrease. The reduction in granuloma number and size was 40.63% and 48.66%, respectively, in GIII, whereas in GIV, the reduction percent was 76.63% and 67.08%. In addition, the degree of fibrosis was significantly diminished in both treated groups. GIV showed significant reduction in IL-1β and SMA expression and increase in SIRT3 expression. These findings reveal how auranofin suppresses the development of liver fibrosis. Therefore, it is crucial to take another look at auranofin as a prospective medication for the treatment of S. mansoni egg-induced hepatic granuloma and consequent fibrosis.
Neural networks need real-world behavior
Authors: Li Aedan Y. , Mur Marieke 
Published: December 2023

Abstract
Bowers et al. propose to use controlled behavioral experiments when evaluating deep neural networks as models of biological vision. We agree with the sentiment and draw parallels to the notion that “neuroscience needs behavior.” As a promising path forward, we suggest complementing image recognition tasks with increasingly realistic and well-controlled task environments that engage real-world object recognition behavior.
Using DNNs to understand the primate vision: A shortcut or a distraction?
Authors: Xu Yaoda , Vaziri-Pashkam Maryam 
Published: December 2023

Abstract
Bowers et al. bring forward critical issues in the current use of deep neural networks (DNNs) to model primate vision. Our own research further reveals fundamentally different algorithms utilized by DNNs for visual processing compared to the brain. It is time to reemphasize the value of basic vision research and put more resources and effort on understanding the primate brain itself.
Even deeper problems with neural network models of language
Authors: Bever Thomas G. , Chomsky Noam , Fong Sandiway , Piattelli-Palmarini Massimo 
Published: December 2023

Abstract
We recognize today's deep neural network (DNN) models of language behaviors as engineering achievements. However, what we know intuitively and scientifically about language shows that what DNNs are and how they are trained on bare texts, makes them poor models of mind and brain for language organization, as it interacts with infant biology, maturation, experience, unique principles, and natural law.
Perceptual learning in humans: An active, top-down-guided process
Authors: Slagter Heleen A. 
Published: December 2023

Abstract
Deep neural network (DNN) models of human-like vision are typically built by feeding blank slate DNN visual images as training data. However, the literature on human perception and perceptual learning suggests that developing DNNs that truly model human vision requires a shift in approach in which perception is not treated as a largely bottom-up process, but as an active, top-down-guided process.
Comprehensive assessment methods are key to progress in deep learning
Authors: Spratling Michael W. 
Published: December 2023

Abstract
Bowers et al. eloquently describe issues with current deep neural network (DNN) models of vision, claiming that there are deficits both with the methods of assessment, and with the models themselves. I am in agreement with both these claims, but propose a different recipe to the one outlined in the target article for overcoming these issues.
Clarifying status of DNNs as models of human vision
Authors: Bowers Jeffrey S. , Malhotra Gaurav , Dujmović Marin , Montero Milton L. , Tsvetkov Christian , Biscione Valerio , Puebla Guillermo , Adolfi Federico , Hummel John E. , Heaton Rachel F. , Evans Benjamin D. , Mitchell Jeffrey , Blything Ryan 
Published: December 2023

Abstract
On several key issues we agree with the commentators. Perhaps most importantly, everyone seems to agree that psychology has an important role to play in building better models of human vision, and (most) everyone agrees (including us) that deep neural networks (DNNs) will play an important role in modelling human vision going forward. But there are also disagreements about what models are for, how DNN–human correspondences should be evaluated, the value of alternative modelling approaches, and impact of marketing hype in the literature. In our view, these latter issues are contributing to many unjustified claims regarding DNN–human correspondences in vision and other domains of cognition. We explore all these issues in this response.
The relevance of mechanisms and mechanistic knowledge for behavioural interventions: the case of household energy consumption
Authors: Grüne-Yanoff Till , Marchionni Caterina , Nuotio Tatu 
Published: December 2023

AbstractWe argue that behavioural public policies (BPP) should be categorized by the kind of mechanism through which they operate, not by the kind of treatment they implement. Reviewing the energy consumption BPP literature, we argue (i) that BPPs are currently categorized by treatment; (ii) that treatment-based categories are subject to mechanistic heterogeneity: there is substantial variation of mechanisms within each treatment type; and (iii) that they also display mechanistic overlap: there is substantial overlap between mechanisms across treatment types. Consequently, current categorizations of BPPs do not reveal the conditions of their efficacy and should be revised to better reflect mechanistic information.
ACCI could be a poor prognostic indicator for the in-hospital mortality of patients with SFTS
Authors: Gong Chen , Xiang Xinjian , Hong Baoyu , Shen Tingting , Zhang Meng , Shen Shichun , Ding Shenggang 
Published: December 2023

Abstract
This study aims to evaluate the predictive role of age-adjusted Charlson comorbidity index (ACCI) scores for in-hospital prognosis of severe fever in thrombocytopenia syndrome (SFTS) patients. A total of 192 patients diagnosed with SFTS were selected as the study subjects. Clinical data were retrospectively collected. Receiver operating characteristic curves were used to evaluate the diagnostic value of ACCI for the mortality of SFTS patients, and Cox regression models were used to assess the association between predictive factors and prognosis. The 192 SFTS patients were divided into two groups according to the clinical endpoints (survivors/non-survivors). The results showed that the mortality of the 192 hospitalized SFTS patients was 26.6%. The ACCI score of the survivor group was significantly lower than that of the non-survivor group. Multivariate Cox regression analysis showed that the increased ACCI score was a significant predictor of poor prognosis in SFTS. Kaplan–Meier survival analysis showed that SFTS patients with an ACCI >2.5 had shorter mean survival times, indicating a poor prognosis. Our findings suggest that ACCI, as an easy-to-use clinical indicator, may offer a simple and feasible approach for clinicians to determine the severity of SFTS.
Modeling Water Isotopes Using a Global Non‐Hydrostatic Model With an Explicit Convection: Comparison With Gridded Data Sets and Site Observations
Authors: Tanoue Masahiro , Yashiro Hisashi , Takano Yuki , Yoshimura Kei , Kodama Chihiro , Satoh Masaki 
Published: December 2023

AbstractIn this study, we developed a global cloud system‐resolving model (GCSRM) incorporating stable water isotopes (NICAM‐WISO). Using a single‐moment cloud microphysics scheme, we applied the new model to conduct a current climate simulation at a horizontal resolution of 56 km. NICAM‐WISO simulated the seasonal means of the atmospheric hydrological cycle, as well as water isotopic ratios of precipitation and vapor. The model captured the general features of precipitation isotope effects and its spatial correlations were comparable to those of other isotope‐incorporated global atmospheric models. The model showed better spatial correlation between simulated and observed values for a fine‐horizontal‐resolution (14 km) simulation compared to coarse‐horizontal‐resolution (56 km) simulation. However, the model had isotopic biases in tropical mid‐troposphere, ocean, and cold continental regions. A comparison of stable water isotopes between the simulation and observations offered clues for improving the model. For example, in the tropical mid‐troposphere, we found a negative bias in the mixing ratio and isotopic ratio of water vapor. Our analysis using satellite retrievals revealed that these underestimations were caused by weak mixing with the boundary layer vapor and low raindrop evaporation with a small evaporation fraction. The underestimations indicated weak shallow convective mixing in the model, inducing negative bias in the mixing ratio and isotopic ratio of the mid‐tropospheric vapor. These biases were also seen in the fine horizontal‐resolution simulation. Furthermore, we conducted several km‐scale atmospheric isotope circulation simulations using NICAM‐WISO. We expect that global‐scale fine‐horizontal‐resolution simulations using isotope‐incorporated GCSRMs will improve our understanding of the atmospheric hydrological cycle.
Numerical Prediction of Changes in Atmospheric Chemical Compositions During a Solar Energetic Particle Event on Mars
Authors: Nakamura Yuki , Leblanc François , Terada Naoki , Hiruba Sayano , Murata Isao , Nakagawa Hiromu , Sakai Shotaro , Aoki Shohei , Piccialli Arianna , Willame Yannick , Neary Lori , Vandaele Ann Carine , Murase Kiyoka , Kataoka Ryuho 
Published: December 2023

AbstractPrecipitation of solar energetic particles (SEPs) into planetary atmospheres causes changes in atmospheric chemical composition through ionization, dissociation, and excitation of atmospheric molecules. In contrast to the terrestrial atmosphere, where depletion of ozone in the polar mesosphere has been studied by observations and models for decades, there have been no studies on the effects of SEPs on the neutral chemical composition of Mars' present‐day atmosphere. This study provided the first estimate of the impacts of SEPs on neutral chemical composition in the present‐day Martian atmosphere coupling a Monte Carlo model and a one‐dimensional photochemical model. Our results showed that ozone density in the Martian atmosphere might decrease in the altitude range of 20–60 km with a factor 10 maximum enhancement occurring at 40 km during a Halloween‐class SEP event due to an enhanced concentration of HOx. The depletion of ozone occurred in the altitude range of 20–60 km, corresponding to the penetration of protons with an energy range of 4.6–46 MeV. Such ozone depletion should be detected by Trace Gas Orbiter/Nadir and Occultation for MArs Discovery during intense SEP event. A 75% depletion of the ozone density at 40 km can be expected during SEP events occurring once in every 1 year. Therefore, ozone concentration in the Martian atmosphere might sufficiently decrease during a SEP event as on Earth, but through different chemical pathways driven by CO2 ionization and CO recombination catalytic cycle.
Dental impact of anti-fibroblast growth factor 23 therapy in X-linked hypophosphatemia
Authors: Lira dos Santos Elis J. , Nakajima Kenta , Po Julien , Hanai Ayako , Zhukouskaya Volha , Biosse Duplan Martin , Linglart Agnès , Shimada Takashi , Chaussain Catherine , Bardet Claire 
Published: December 2023

AbstractElevated fibroblast growth factor 23 (FGF23) in X-linked hypophosphatemia (XLH) results in rickets and phosphate wasting, manifesting by severe bone and dental abnormalities. Burosumab, a FGF23-neutralizing antibody, an alternative to conventional treatment (phosphorus and active vitamin D analogs), showed significant improvement in the long bone phenotype. Here, we examined whether FGF23 antibody (FGF23-mAb) also improved the dentoalveolar features associated with XLH. Four-week-old male Hyp mice were injected weekly with 4 or 16 mg·kg−1 of FGF23-mAb for 2 months and compared to wild-type (WT) and vehicle (PBS) treated Hyp mice (n = 3–7 mice). Micro-CT analyses showed that both doses of FGF23-mAb restored dentin/cementum volume and corrected the enlarged pulp volume in Hyp mice, the higher concentration resulting in a rescue similar to WT levels. FGF23-mAb treatment also improved alveolar bone volume fraction and mineral density compared to vehicle-treated ones. Histology revealed improved mineralization of the dentoalveolar tissues, with a decreased amount of osteoid, predentin and cementoid. Better periodontal ligament attachment was also observed, evidenced by restoration of the acellular cementum. These preclinical data were consistent with the retrospective analysis of two patients with XLH showing that burosumab treatment improved oral features. Taken together, our data show that the dentoalveolar tissues are greatly improved by FGF23-mAb treatment, heralding its benefit in clinics for dental abnormalities.
Light People: Professor Lan Fu
Authors: Wang Hui , Yu Cun 
Published: December 2023

EditorialIII-V semiconductors are compound semiconductor materials formed by combining group-III and group-V elements. With properties such as direct bandgap, high electron mobility, good homogeneity of large-size crystals and good lattice matching, they are widely used in micro- and opto-electronics, integrated circuits, laser communications, etc., and promise great potentials. Our Light People is someone who has long been engaged in the research of III-V semiconductor materials, structures and devices. She is Prof. Lan Fu from the Australian National University (ANU).As an outstanding student of Prof. Chennupati Jagadish, President of the Australian Academy of Sciences, Prof. Fu is not only a leading researcher in her field, but also a scientist with an independent spirit. She is currently the Head of the Department of Electronic Materials Engineering, Research School of Physics, The Australian National University, where she leads a team in the research of III-V semiconductors.A sincere and humble person, Prof. Fu focuses on nurturing professional attitude, critical thinking and problem solving skills in her students. In addition, she is actively involved in various professional activities, which allows her to integrate research and practice. She believes that integrity, passion, curiosity and perseverance are the key characters of a good scientific researcher and encourages her students to avoid being arrogant or rush but concentrate on good rigorous work.For this issue of Light People, we will learn about Professor Lan Fu’s unique charisma as an academic and her fascinating life philosophy.