bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolution of the Leader Discharge in Bi‐Directional Propagation System in Altitude‐Triggered Lightning
Authors: Li Xiao , Li Peng , Cao Baofeng , Li Xiaoqiang , Lu Gaopeng , Chang Yunfen , Zhang Xiong , Wei Yongli , Li Zongxiang , Zhang Yang , Lyu Weitao 
Published: July 2024

AbstractOn 18 June 2023, comprehensive observations were conducted to an altitude‐triggered lightning flash. Upward positive leader (UPL) and downward negative leader (DNL) in a bi‐directional development system were detected simultaneously by a high‐speed camera, together with the coordinated measurements of magnetic field and very‐high‐frequency (VHF) emissions. High‐speed images reveal, for the first time, the enhancement of the UPL's propagation speed by DNL in the bi‐directional leader system. Concretely, the upward positive leader initially originates from a suspended wire tip and propagates at a two dimensional (2D) speed of 5.32 × 104 m/s, and after about 6.3 ms, its propagation speed was enhanced to 1.12 × 105 m/s when the stepped DNL started advancing at an average speed of 1.44 × 105 m/s. Additionally, based on the evolution of channel luminosity and the variations of magnetic radiation, it is found that there is a consistency in luminosity variation between the ascending channel and the descending channel in the bi‐directional leader system, and the amplitude of the magnetic field increases when the negative discharges start at the bottom wire end with intensive VHF emissions. Those facts indicate that the DNL has an effect, may be a positive one, on the UPL's development in the early stage of altitude‐triggered lightning.
The metabolic consequences of ‘yo-yo’ dieting are markedly influenced by genetic diversity
Authors: Thillainadesan Senthil , Lambert Aaron , Cooke Kristen C. , Stöckli Jacqueline , Yau Belinda , Masson Stewart W. C. , Howell Anna , Potter Meg , Fuller Oliver K. , Jiang Yi Lin , Kebede Melkam A. , Morahan Grant , James David E. , Madsen Søren , Hocking Samantha L. 
Published: July 2024

Abstract
Background
Weight loss can improve the metabolic complications of obesity. However, it is unclear whether insulin resistance persists despite weight loss and whether any protective benefits are preserved following weight regain (weight cycling). The impact of genetic background on weight cycling is undocumented. We aimed to investigate the effects of weight loss and weight cycling on metabolic outcomes and sought to clarify the role of genetics in this relationship.

Method
Both C57BL/6 J and genetically heterogeneous Diversity Outbred Australia (DOz) mice were alternately fed high fat Western-style diet (WD) and a chow diet at 8-week intervals. Metabolic measures including body composition, glucose tolerance, pancreatic beta cell activity, liver lipid levels and adipose tissue insulin sensitivity were determined.

Results
After diet switch from WD (8-week) to chow (8-week), C57BL/6 J mice displayed a rapid normalisation of body weight, adiposity, hyperinsulinemia, liver lipid levels and glucose uptake into adipose tissue comparable to chow-fed controls. In response to the same dietary intervention, genetically diverse DOz mice conversely maintained significantly higher fat mass and insulin levels compared to chow-fed controls and exhibited much more profound interindividual variability than C57BL/6 J mice. Weight cycled (WC) animals were re-exposed to WD (8-week) and compared to age-matched controls fed 8-week WD for the first time (LOb). In C57BL/6 J but not DOz mice, WC animals had significantly higher blood insulin levels than LOb controls. All WC animals exhibited significantly greater beta cell activity than LOb controls despite similar fat mass, glucose tolerance, liver lipid levels and insulin-stimulated glucose uptake in adipose tissue.

Conclusion
Following weight loss, metabolic outcomes return to baseline in C57BL/6 J mice with obesity. However, genetic diversity significantly impacts this response. A period of weight loss does not provide lasting benefits after weight regain, and weight cycling is detrimental and associated with hyperinsulinemia and elevated basal insulin secretion.
High-rate intercity quantum key distribution with a semiconductor single-photon source
Authors: Yang Jingzhong , Jiang Zenghui , Benthin Frederik , Hanel Joscha , Fandrich Tom , Joos Raphael , Bauer Stephanie , Kolatschek Sascha , Hreibi Ali , Rugeramigabo Eddy Patrick , Jetter Michael , Portalupi Simone Luca , Zopf Michael , Michler Peter , Kück Stefan , Ding Fei 
Published: July 2024

AbstractQuantum key distribution (QKD) enables the transmission of information that is secure against general attacks by eavesdroppers. The use of on-demand quantum light sources in QKD protocols is expected to help improve security and maximum tolerable loss. Semiconductor quantum dots (QDs) are a promising building block for quantum communication applications because of the deterministic emission of single photons with high brightness and low multiphoton contribution. Here we report on the first intercity QKD experiment using a bright deterministic single photon source. A BB84 protocol based on polarisation encoding is realised using the high-rate single photons in the telecommunication C-band emitted from a semiconductor QD embedded in a circular Bragg grating structure. Utilising the 79 km long link with 25.49 dB loss (equivalent to 130 km for the direct-connected optical fibre) between the German cities of Hannover and Braunschweig, a record-high secret key bits per pulse of 4.8 × 10−5 with an average quantum bit error ratio of ~ 0.65% are demonstrated. An asymptotic maximum tolerable loss of 28.11 dB is found, corresponding to a length of 144 km of standard telecommunication fibre. Deterministic semiconductor sources therefore challenge state-of-the-art QKD protocols and have the potential to excel in measurement device independent protocols and quantum repeater applications.
Brillouin expanded time-domain analysis based on dual optical frequency combs
Authors: Youn Jae Hyeong , Song Kwang Yong , Martin-Lopez Sonia , Gonzalez-Herraez Miguel , Fernández-Ruiz María R. 
Published: July 2024

AbstractBrillouin Optical Time-Domain Analysis (BOTDA) is a widely-used distributed optical fiber sensing technology employing pulse-modulated pump waves for local information retrieval of the Brillouin gain or loss spectra. The spatial resolution of BOTDA systems is intrinsically linked to pulse duration, so high-resolution measurements demand high electronic bandwidths inversely proportional to the resolution. This paper introduces Brillouin Expanded Time-Domain Analysis (BETDA) as a modified BOTDA system, simultaneously achieving high spatial resolution and low detection bandwidth. Utilizing two optical frequency combs (OFCs) with different frequency intervals as pump and probe, local Brillouin gain spectra are recorded by their spectral beating traces in an expanded time domain. A 2-cm-long hotspot located in a 230 m single-mode fiber is successfully measured in the time domain with a detection bandwidth of less than 100 kHz using dual OFCs with tailored spectral phase, line spacing, and bandwidth.
Schlafen 11 further sensitizes BRCA-deficient cells to PARP inhibitors through single-strand DNA gap accumulation behind replication forks
Authors: Onji Hiroshi , Tate Sota , Sakaue Tomohisa , Fujiwara Kohei , Nakano Shiho , Kawaida Miho , Onishi Nobuyuki , Matsumoto Takashi , Yamagami Wataru , Sugiyama Takashi , Higashiyama Shigeki , Pommier Yves , Kobayashi Yusuke , Murai Junko 
Published: July 2024

AbstractThe preferential response to PARP inhibitors (PARPis) in BRCA-deficient and Schlafen 11 (SLFN11)-expressing ovarian cancers has been documented, yet the underlying molecular mechanisms remain unclear. As the accumulation of single-strand DNA (ssDNA) gaps behind replication forks is key for the lethality effect of PARPis, we investigated the combined effects of SLFN11 expression and BRCA deficiency on PARPi sensitivity and ssDNA gap formation in human cancer cells. PARPis increased chromatin-bound RPA2 and ssDNA gaps in SLFN11-expressing cells and even more in cells with BRCA1 or BRCA2 deficiency. SLFN11 was co-localized with chromatin-bound RPA2 under PARPis treatment, with enhanced recruitment in BRCA2-deficient cells. Notably, the chromatin-bound SLFN11 under PARPis did not block replication, contrary to its function under replication stress. SLFN11 recruitment was attenuated by the inactivation of MRE11. Hence, under PARPi treatment, MRE11 expression and BRCA deficiency lead to ssDNA gaps behind replication forks, where SLFN11 binds and increases their accumulation. As ovarian cancer patients who responded (progression-free survival >2 years) to olaparib maintenance therapy had a significantly higher SLFN11-positivity than short-responders (<6 months), our findings provide a mechanistic understanding of the favorable responses to PARPis in SLFN11-expressing and BRCA-deficient tumors. It highlight the clinical implications of SLFN11.
Equity-diversity-inclusion (EDI)-related strategies used by dental schools during the admission/selection process: a narrative review
Authors: Ardenghi Diego Machado , Grazziotin-Soares Renata , Papagerakis Silvana , Papagerakis Petros 
Published: July 2024

Abstract
Introduction
Decades of evidence have demonstrated a lack of workforce diversity and sustaining disparities in academic dentistry and professional practice. Underrepresented minority students may face challenges and implicit bias during the dental schools‘ admission/selection process. This review collected papers from different countries to summarize the Equity-Diversity-Inclusion (EDI)-related strategies that dental schools worldwide have used in their admissions process to increase diversity.

Methods
A comprehensive search using MEDLINE (via PubMed), ERIC, Cochrane Reviews, Cochrane Trials, American Psychological Association Psyc Info (EBSCO) and Scopus was done between January and March-2023. All types of articles-designs were included, except comments and editorials, and all articles selected were in English. Two independent investigators screened the articles. Extracted data were general characteristics, study objectives, and EDI-related strategies.

Results
Sixteen publications were used to construct this manuscript. The year with the greatest number of publications was 2022. Type of studies were case studies/critical reviews (50%), cross-sectional (including survey and secondary data analysis) (n = 5, 31.25%), qualitative methods of analysis (n = 2, 12.5%), and retrospective/secondary data collection (n = 1, 6.25%). The strategies described in the articles were related to (1) considering the intersectionality of diversity, (2) using noncognitive indicators during the school admissions process to construct a holistic selection process, (3) diversifying, professionalizing, and providing training to admissions persons who had leadership roles with the support from the dental school and the university, and (4) allocating financial investments and analyzing current policies and procedures regarding EDI.

Conclusions
This review aggregated interesting findings, such as: some schools are considering the intersectionality of diversity as a way to include underrepresented minorities and to diversify the students-body. The recent growth in publications on EDI during dental admission/selection process might indicate a positive movement in this field.
Ecological genetics of isolated loach populations indicate compromised adaptive potential
Authors: Wang Xi , Reid Kerry , Chen Ying , Dudgeon David , Merilä Juha 
Published: July 2024

AbstractMany endangered species live in fragmented and isolated populations with low genetic variability, signs of inbreeding, and small effective population sizes - all features elevating their extinction risk. The flat-headed loach (Oreonectes platycephalus), a small noemacheilid fish, is widely across southern China, but only in the headwaters of hillstreams; as a result, they are spatially isolated from conspecific populations. We surveyed single nucleotide polymorphisms in 16 Hong Kong populations of O. platycephalus to determine whether loach populations from different streams were genetically isolated from each other, showed low levels of genetic diversity, signs of inbreeding, and had small contemporary effective population sizes. Estimates of average observed heterozygosity (HO = 0.0473), average weighted nucleotide diversity (πw = 0.0546) and contemporary effective population sizes (Ne = 10.2 ~ 129.8) were very low, and several populations showed clear signs of inbreeding as judged from relatedness estimates. The degree of genetic differentiation among populations was very high (average FST = 0.668), even over short geographic distances (<1.5 km), with clear patterns of isolation by distance. These results suggest that Hong Kong populations of O. platycephalus have experienced strong genetic drift and loss of genetic variability because sea-level rise after the last glaciation reduced connectedness among paleodrainages, isolating populations in headwaters. All this, together with the fact that the levels of genetic diversity and contemporary effective population sizes within O. platycephalus populations are lower than most other freshwater fishes, suggests that they face high local extinction risk and have limited capacity for future adaptation.
Temporal dynamics and persistence of resistance genes to broad spectrum antibiotics in an urban community
Authors: Javvadi Yamini , Mohan S. Venkata 
Published: July 2024

AbstractThe constantly evolving and growing global health crisis, antimicrobial resistance (AMR), endangers progress in medicine, food production, and life expectancy. Limited data on population-level prevalence, including seasonal and temporal variations, hampers accurate risk assessment for AMR transmission, despite its paramount importance on both global and national fronts. In this study, we used quantitative real-time PCR (q-PCR) to analyze 123 antibiotic resistance genes (ARGs) and 13 mobile genetic elements (MGEs) in wastewater of a selected urban community. Sampling was conducted monthly over a 5-month period (December 2021–April 2022) to assess resistance diversity, temporal dynamics, co-abundance of ARGs, MGEs, and resistance mechanisms. Approximately 50% of the tested ARG subtypes were consistently detected in all months, with frequency ranging from 52 to 61% with maximum absolute abundance in the winter months (December and January). In co-abundance analysis, specific genes were clustered into modules, highlighting shared distribution patterns and functional associations among the ARGs and MGEs. Detected clinically significant genes (ndm-1 and cfiA) and other variants (blaoxy, aph, aacC, tet-35, tet M, tet-32) are capable of imparting resistance to 3rd and 4th generation (gen) β-lactam, aminoglycoside, tetracycline, and multidrug classes. These contribute significantly to core/persistent resistance. This study deepens our comprehension of temporal/seasonal fluctuations in ARG and MGE distribution, providing valuable evidence to guide AMR control policies and promote responsible antibiotic/antimicrobial use for preserving effectiveness.
Unravelling quantum dynamics using flow equations
Authors: Thomson S. J. , Eisert J. 
Published: July 2024

AbstractThe study of many-body quantum dynamics in strongly correlated systems is extremely challenging. To date, few numerical methods exist that are capable of simulating the non-equilibrium dynamics of two-dimensional quantum systems, which is partly due to complexity theoretic obstructions. In this work, we present a technique able to overcome this obstacle, by combining continuous unitary flow techniques with the newly developed method of scrambling transforms. We overcome the assumption that approximately diagonalizing the Hamiltonian cannot lead to reliable predictions for relatively long times. Rather, we show that the method achieves good accuracy in both localized and delocalized phases and makes reliable predictions for a number of quantities including infinite-temperature autocorrelation functions. We complement our findings with rigorous incremental bounds on the truncation error. Our approach shows that, in practice, the exploration of intermediate-scale time evolution may be more feasible than is commonly assumed, challenging near-term quantum simulators.
Middle and Late Pleistocene Denisovan subsistence at Baishiya Karst Cave
Authors: Xia Huan , Zhang Dongju , Wang Jian , Fagernäs Zandra , Li Ting , Li Yuanxin , Yao Juanting , Lin Dongpeng , Troché Gaudry , Smith Geoff M. , Chen Xiaoshan , Cheng Ting , Shen Xuke , Han Yuanyuan , Olsen Jesper V. , Shen Zhongwei , Pei Zhiqi , Hublin Jean-Jacques , Chen Fahu , Welker Frido 
Published: July 2024

AbstractGenetic and fragmented palaeoanthropological data suggest that Denisovans were once widely distributed across eastern Eurasia1–3. Despite limited archaeological evidence, this indicates that Denisovans were capable of adapting to a highly diverse range of environments. Here we integrate zooarchaeological and proteomic analyses of the late Middle to Late Pleistocene faunal assemblage from Baishiya Karst Cave on the Tibetan Plateau, where a Denisovan mandible and Denisovan sedimentary mitochondrial DNA were found3,4. Using zooarchaeology by mass spectrometry, we identify a new hominin rib specimen that dates to approximately 48–32 thousand years ago (layer 3). Shotgun proteomic analysis taxonomically assigns this specimen to the Denisovan lineage, extending their presence at Baishiya Karst Cave well into the Late Pleistocene. Throughout the stratigraphic sequence, the faunal assemblage is dominated by Caprinae, together with megaherbivores, carnivores, small mammals and birds. The high proportion of anthropogenic modifications on the bone surfaces suggests that Denisovans were the primary agent of faunal accumulation. The chaîne opératoire of carcass processing indicates that animal taxa were exploited for their meat, marrow and hides, while bone was also used as raw material for the production of tools. Our results shed light on the behaviour of Denisovans and their adaptations to the diverse and fluctuating environments of the late Middle and Late Pleistocene of eastern Eurasia.
Cytokine expression profiles in children and adolescents with tic disorders
Authors: Kutuk Meryem Ozlem , Tufan Ali Evren , Kilicaslan Fethiye , Gokcen Cem , Aksu Gulen Guler , Yektas Cigdem , Kandemir Hasan , Celik Fatma , Mutluer Tuba , Buber Ahmet , Karadag Mehmet , Coban Nurdan , Coskun Seyma , Hangul Zehra , Altintas Ebru , Acikbas Ufuk , Giray Asli , Aka Yeliz , Basturk Bilkay , Kutuk Ozgur 
Published: July 2024

AbstractThe etiology of tic disorders (TDs) is not precisely known, although several lines of evidence suggest involvement of the immune system in pathogenesis. Here, we aimed to determine the expression levels of pro-inflammatory and anti-inflammatory cytokines in children with TD and compare them with those of healthy controls. Furthermore, we also evaluated their association with clinical variables in the TD group. Within the study period, 88 children with tic disorders and 111 healthy control children were enrolled. Most children with tic disorders were diagnosed with Tourette’s disorder (n = 47, 53.4%) or persistent motor tic disorder (n = 39, 44.3%), while the remainder (n = 2, 2.3%) were diagnosed with persistent vocal tic disorder. We found that children with tic disorders had significantly elevated levels of IL-1β, TNF-α, IL-6 and IL-4 expression, while we detected lower expression levels of IL-17 in children with tic disorders. Our findings provide a molecular landscape of cytokine expression in children with TD, which may suggest a proinflammatory state not affected by the presence of comorbidity and symptom severity. Delineating the contribution of alterations in the immune system to the pathogenesis of tic disorders may pave the way for better therapeutic interventions.
Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition
Authors: Sarkar Supria , Sagan Vasit , Bhadra Sourav , Fritschi Felix B. 
Published: July 2024

Abstract
Soybean is an essential crop to fight global food insecurity and is of great economic importance around the world. Along with genetic improvements aimed at boosting yield, soybean seed composition also changed. Since conditions during crop growth and development influences nutrient accumulation in soybean seeds, remote sensing offers a unique opportunity to estimate seed traits from the standing crops. Capturing phenological developments that influence seed composition requires frequent satellite observations at higher spatial and spectral resolutions. This study introduces a novel spectral fusion technique called multiheaded kernel-based spectral fusion (MKSF) that combines the higher spatial resolution of PlanetScope (PS) and spectral bands from Sentinel 2 (S2) satellites. The study also focuses on using the additional spectral bands and different statistical machine learning models to estimate seed traits, e.g., protein, oil, sucrose, starch, ash, fiber, and yield. The MKSF was trained using PS and S2 image pairs from different growth stages and predicted the potential VNIR1 (705 nm), VNIR2 (740 nm), VNIR3 (783 nm), SWIR1 (1610 nm), and SWIR2 (2190 nm) bands from the PS images. Our results indicate that VNIR3 prediction performance was the highest followed by VNIR2, VNIR1, SWIR1, and SWIR2. Among the seed traits, sucrose yielded the highest predictive performance with RFR model. Finally, the feature importance analysis revealed the importance of MKSF-generated vegetation indices from fused images.
A machine learning decision criterion for reducing scan time for hyperspectral neutron computed tomography systems
Authors: Tang Shimin , Venkatakrishnan Singanallur V. , Chowdhury Mohammad S. N. , Yang Diyu , Gober Megan , Nelson George J. , Cekanova Maria , Biris Alexandru S. , Buzzard Gregery T. , Bouman Charles A. , Skorpenske Harley D. , Bilheux Hassina Z. 
Published: July 2024

AbstractWe present the first machine learning-based autonomous hyperspectral neutron computed tomography experiment performed at the Spallation Neutron Source. Hyperspectral neutron computed tomography allows the characterization of samples by enabling the reconstruction of crystallographic information and elemental/isotopic composition of objects relevant to materials science. High quality reconstructions using traditional algorithms such as the filtered back projection require a high signal-to-noise ratio across a wide wavelength range combined with a large number of projections. This results in scan times of several days to acquire hundreds of hyperspectral projections, during which end users have minimal feedback. To address these challenges, a golden ratio scanning protocol combined with model-based image reconstruction algorithms have been proposed. This novel approach enables high quality real-time reconstructions from streaming experimental data, thus providing feedback to users, while requiring fewer yet a fixed number of projections compared to the filtered back projection method. In this paper, we propose a novel machine learning criterion that can terminate a streaming neutron tomography scan once sufficient information is obtained based on the current set of measurements. Our decision criterion uses a quality score which combines a reference-free image quality metric computed using a pre-trained deep neural network with a metric that measures differences between consecutive reconstructions. The results show that our method can reduce the measurement time by approximately a factor of five compared to a baseline method based on filtered back projection for the samples we studied while automatically terminating the scans.