bluuebunny/crossref_metadata_2025 huggingface dataset:
The Costume of My Trade
Authors: Winant Gabriel
Published: June 2023

Despite a number of excellent queer labor histories, the historiography of lesbian, gay, and trans people and the historiography of work and workers have remained relatively uninfluenced by each other. This is puzzling in some obvious ways: the Mattachine Society was founded by a communist, and class questions were right there at the origin of the field of queer history with John D'Emilio, Leslie Feinberg, Joanne Meyerowitz, and George Chauncey. D'Emilio and Feinberg were Marxists and Meyerowitz began as a labor historian, while Chauncey had the legendary historian of work David Montgomery for one of his advisors. Enumerating his graduate cohort in the acknowledgments of Gay New York, Chauncey names a string of Montgomery's advisees, now eminent labor historians, followed on the next page by Edward and Dorothy Thompson, with whom Chauncey spent a postdoctoral year at Rutgers. More substantively, a central analytic move of Gay New York, itself building on and developing D'Emilio's classic intervention, is to understand the urban gay world in much the same way that, say, Herbert Gutman understood the worlds of working-class immigrants (with which gay social worlds overlapped to a great degree): as a “counterpublic,” although Gutman would not have used the term.
TWISTED SHIFT-INVARIANT SYSTEM IN
Authors: DAS SANTI RANJAN , VELSAMY RABEETHA , RAMAKRISHNAN RADHA
Published: June 2023

We consider a general twisted shift-invariant system,
$V^{t}(\mathcal {A})$
, consisting of twisted translates of countably many generators and study the problem of obtaining a characterization for the system
$V^{t}(\mathcal {A})$
to form a frame sequence or a Riesz sequence. We illustrate our theory with some examples. In addition to these results, we study a dual twisted shift-invariant system and also obtain an orthonormal sequence of twisted translates from a given Riesz sequence of twisted translates.
RADIOCARBON DATING OF GRASS-TEMPERED CERAMIC REVEALS THE EARLIEST POTTERY FROM SLOVAKIA PREDATES THE ARRIVAL OF FARMING
Authors: Tóth Peter , Petřík Jan , Bickle Penny , Adameková Katarína , Denis Solène , Slavíček Karel , Petr Libor , Pokutta Dalia , Isaksson Sven
Published: June 2023

In the absence of wood, bone, and other organics, one possible candidate for determining the age of a site is the radiocarbon (14C) dating of pottery. In central Europe during the Early Neolithic, pottery was ubiquitous and contained substantial quantities of organic temper. However, attempts at the direct dating of organic inclusions raises a lot of methodological issues, especially when several sources of carbon contribute to the resulting radiocarbon age. Hence an alternative approach to dating of the early pottery is necessary. Here, we present a novel method of bulk separation of organic content from the grass-tempered pottery from Santovka (Slovakia). The procedure is based on the consecutive application of three inorganic acids, dissolving clay, silica content, and low molecular or mobile fractions to separate organic inclusions added to the pottery matrix during the formation of vessels. Radiocarbon dates obtained with this method are coherent and produce the shortest time span compared to other pretreatment methods presented in this study. The paired dates of grass-tempered pots with the 14C age of lipids extracted from the same pots point to a difference of 400–600 14C yr, however they are in line with the site’s chronostratigraphic Bayesian model. Grass-tempered pottery from Santovka (Slovakia) is dated to the first half of the 6th millennium cal BC, making it the earliest pottery north of the Danube. It seems feasible that ceramic containers from Santovka were produced by hunter-gatherers, and pottery predated the arrival of farming in the Carpathian region by a couple of centuries.
Effects of a low FODMAP diet on gut microbiota in individuals with treated coeliac disease having persistent gastrointestinal symptoms – a randomised controlled trial
Authors: Herfindal Anne Mari , van Megen Frida , Gilde Mari K. O. , Valeur Jørgen , Rudi Knut , Skodje Gry I. , Lundin Knut E. A. , Henriksen Christine , Bøhn Siv Kjølsrud
Published: June 2023

Individuals with coeliac disease (CeD) often experience gastrointestinal symptoms despite adherence to a gluten-free diet (GFD). While we recently showed that a diet low in fermentable oligo-, di-, monosaccharides and polyols (FODMAP) successfully provided symptom relief in GFD-treated CeD patients, there have been concerns that the low FODMAP diet (LFD) could adversely affect the gut microbiota. Our main objective was therefore to investigate whether the LFD affects the faecal microbiota and related variables of gut health. In a randomised controlled trial GFD-treated CeD adults, having persistent gastrointestinal symptoms, were randomised to either consume a combined LFD and GFD (n 39) for 4 weeks or continue with GFD (controls, n 36). Compared with the control group, the LFD group displayed greater changes in the overall faecal microbiota profile (16S rRNA gene sequencing) from baseline to follow-up (within-subject β-diversity, P < 0·001), characterised by lower and higher follow-up abundances (%) of genus Anaerostipes (Pgroup < 0·001) and class Erysipelotrichia (Pgroup = 0·02), respectively. Compared with the control group, the LFD led to lower follow-up concentrations of faecal propionic and valeric acid (GC-FID) in participants with high concentrations at baseline (Pinteraction ≤ 0·009). No differences were found in faecal bacterial α-diversity (Pgroup ≥ 0·20) or in faecal neutrophil gelatinase-associated lipocalin (ELISA), a biomarker of gut integrity and inflammation (Pgroup = 0·74), between the groups at follow-up. The modest effects of the LFD on the gut microbiota and related variables in the CeD patients of the present study are encouraging given the beneficial effects of the LFD strategy to treat functional GI symptoms (Registered at clinicaltrials.gov as NCT03678935).
Effects of fibre-supplemented enteral feeds on bowel function of non-critically ill tube-fed adults: a meta-analysis of randomised controlled trials
Authors: Tay Valerie Xin Pei , Mohamed Noor Nur Asyikin , Tan Lee Boo
Published: June 2023

Diarrhoea is common in enterally fed patients and can impact their nutritional and overall outcomes. This meta-analysis evaluates the potential benefits of fibre-supplemented (FS) feeds on incidence of diarrhoea and stool frequency in non-critically ill tube-fed adults. Databases including PubMed, Embase and CINAHL with full text were searched for randomised controlled trials (RCT) with adults on exclusive tube feeding, published until August 2022. The Cochrane Collaboration’s tool was used for quality assessment. Studies with published results on incidence of diarrhoea and stool frequency were analysed using RevMan 5. Thirteen RCT with 847 non-critically ill patients between 20 and 90 years old without diarrhoea at the onset of enteral feeding were included. Study duration ranged from 3 to 35 d. Nine papers investigated the incidence of diarrhoea where intervention group was given FS and control was given non-fibre-supplemented (NFS) enteral feeds. Those receiving FS feeds were significantly less likely to experience diarrhoea as compared with those using NFS feeds (OR 0·44; 95 % CI 0·20, 0·95; P = 0·04; I2 = 71 %). Combined analysis showed no differences in stool frequency in those receiving NFS feeds (SMD 0·32; 95 % CI −0·53, 1·16; P = 0·47; I2 = 90 %). Results should be interpreted with caution due to considerable heterogeneity between study population, assessment tool for diarrhoea, potential conflict of interest and short duration of studies. This meta-analysis shows that FS feeds can reduce the incidence of diarrhoea in non-critically ill adults; however, the effects of stool frequency remain debatable.
LasGeórgicasde Virgilioin figlinis: a propósito de un grafitoante cocturamsobre un ánfora olearia bética
Authors: González Tobar Iván , Soler i Nicolau Antònia , Berni Millet Piero
Published: June 2023

La riqueza epigráfica de las ánforas olearias de la provincia Bética es bien conocida gracias a los numerosos sellos de alfarero, rótulos pintados (tituli picti) y grafitos grabados en la arcilla fresca (ante cocturam). Éstos últimos suelen contener signos y simples letras, pero a veces, también nombres de personas y fechas calendariales y consulares. En este trabajo presentamos un grafito de carácter excepcional por su contenido estrictamente literario. En él, proponemos identificar un fragmento de poema de Virgilio. Analizamos y discutimos el contexto en que se realizó, la autoría del mismo y su significación para el conocimiento del grado de alfabetización de la sociedad rural romana en el Valle del Guadalquivir. Constituye el primer caso constatado sobre ánfora romana y es de excepcional interés para arqueólogos, epigrafistas y filólogos del latín vulgar.
Cross-sectional and prospective associations between behavioural patterns and adiposity in school-aged children
Authors: D’Souza Ninoshka J , Downing Katherine , Zheng Miaobing , Abbott Gavin , Lioret Sandrine , Campbell Karen J , Hesketh Kylie D
Published: June 2023

Objective:

Behavioural patterns are important in understanding the synergistic effect of multiple health behaviours on childhood adiposity. Most previous evidence assessing associations between patterns and adiposity were cross-sectional and investigated two or three behaviour domains within patterns. This study aimed to identify behavioural patterns comprising four behaviour domains and investigate associations with adiposity risk in children.

Design:

Parent-report and accelerometry data were used to capture daily dietary, physical activity, sedentary behaviour and sleep data. Variables were standardised and included in the latent profile analysis to derive behavioural patterns. Trained researchers measured children’s height, weight and waist circumference using standardised protocols. Associations of patterns and adiposity measures were tested using multiple linear regression.

Setting:

Melbourne, Australia.

Participants:

A total of 337 children followed up at 6–8 years (T2) and 9–11 years (T3).

Results:

Three patterns derived at 6–8 years were broadly identified to be healthy, unhealthy and mixed patterns. Patterns at 9–11 years were dissimilar except for the unhealthy pattern. Individual behaviours characterising the patterns varied over time. No significant cross-sectional or prospective associations were observed with adiposity at both time points; however, children displaying the unhealthy pattern had higher adiposity measures than other patterns.

Conclusion:

Three non-identical patterns were identified at 6–8 and 9–11 years. The individual behaviours that characterised patterns (dominant behaviours) at both ages are possible drivers of the patterns obtained and could explain the lack of associations with adiposity. Identifying individual behaviour pattern drivers and strategic intervention are key to maintain and prevent the decline of healthy patterns.
NON-CONTRACTIVE LOGICS, PARADOXES, AND MULTIPLICATIVE QUANTIFIERS
Authors: NICOLAI CARLO , PIAZZA MARIO , TESI MATTEO
Published: June 2023

The paper investigates from a proof-theoretic perspective various non-contractive logical systems, which circumvent logical and semantic paradoxes. Until recently, such systems only displayed additive quantifiers (Grišin and Cantini). Systems with multiplicative quantifiers were proposed in the 2010s (Zardini), but they turned out to be inconsistent with the naive rules for truth or comprehension. We start by presenting a first-order system for disquotational truth with additive quantifiers and compare it with Grišin set theory. We then analyze the reasons behind the inconsistency phenomenon affecting multiplicative quantifiers. After interpreting the exponentials in affine logic as vacuous quantifiers, we show how such a logic can be simulated within a truth-free fragment of a system with multiplicative quantifiers. Finally, we establish that the logic for these multiplicative quantifiers (but without disquotational truth) is consistent, by proving that an infinitary version of the cut rule can be eliminated. This paves the way to a syntactic approach to the proof theory of infinitary logic with infinite sequents.
A New Frontier: AI and Ancient Language Pedagogy
Authors: Ross Edward A. S.
Published: June 2023

In November 2022, ChatGPT 3.5 was released on a public research preview, gaining notoriety for its ability to pull from a vast body of information to create coherent and digestible bodies of text that accurately respond to queries (OpenAI, 2022). It is able to recognise the grammar and vocabulary of ancient languages, translate passages, and compose texts at an alarmingly accurate and rapid rate. For teachers, this AI has had mixed reviews. Some fear its ability to produce well-written work effortlessly, while others are excited by its abilities to push the boundaries of current teaching practices. This paper explores how well ChatGPT explains grammatical concepts, parses inflected forms, and translates Classical Latin, Ancient Greek, and Classical Sanskrit. Overall, ChatGPT is rather good at working with Classical Latin and Sanskrit, but its abilities with Ancient Greek are deeply problematic. Although it is quite flawed at this time, ChatGPT, when used properly, could become a useful a tool for ancient language study. With proper guiding phrases, students could use this AI to practise vocabulary, check their translations, and rephrase grammatical concepts.
Impact and centrality of attention dysregulation on cognition, anxiety, and low mood in adolescents
Authors: Roberts Clark , Sahakian Barbara J. , Chen Shuquan , Sallie Samantha N. , Walker Clare , White Simon R. , Weber Jochen , Skandali Nikolina , Robbins Trevor W. , Murray Graham K.
Published: June 2023

Functional impairments in cognition are frequently thought to be a feature of individuals with depression or anxiety. However, documented impairments are both broad and inconsistent, with little known about when they emerge, whether they are causes or effects of affective symptoms, or whether specific cognitive systems are implicated. Here, we show, in the adolescent ABCD cohort (N = 11,876), that attention dysregulation is a robust factor underlying wide-ranging cognitive task impairments seen in adolescents with moderate to severe anxiety or low mood. We stratified individuals high in DSM-oriented depression or anxiety symptomology, and low in attention deficit hyperactivity disorder (ADHD), as well as vice versa – demonstrating that those high in depression or anxiety dimensions but low in ADHD symptoms not only exhibited normal task performance across several commonly studied cognitive paradigms, but out-performed controls in several domains, as well as in those low in both dimensions. Similarly, we showed that there were no associations between psychopathological dimensions and performance on an extensive cognitive battery after controlling for attention dysregulation. Further, corroborating previous research, the co-occurrence of attention dysregulation was associated with a wide range of other adverse outcomes, psychopathological features, and executive functioning (EF) impairments. To assess how attention dysregulation relates to and generates diverse psychopathology, we performed confirmatory and exploratory network analysis with different analytic approaches using Gaussian Graphical Models and Directed Acyclic Graphs to examine interactions between ADHD, anxiety, low mood, oppositional defiant disorder (ODD), social relationships, and cognition. Confirmatory centrality analysis indicated that features of attention dysregulation were indeed central and robustly connected to a wide range of psychopathological traits across different categories, scales, and time points. Exploratory network analysis indicated potentially important bridging traits and socioenvironmental influences in the relationships between ADHD symptoms and mood/anxiety disorders. Trait perfectionism was uniquely associated with both better cognitive performance and broad psychopathological dimensions. This work suggests that attentional dysregulation may moderate the breadth of EF, fluid, and crystalized cognitive task outcomes seen in adolescents with anxiety and low mood, and may be central to disparate pathological features, and thus a target for attenuating wide-ranging negative developmental outcomes.
Moderate temperature deposition of RF magnetron sputtered SnO2-based electron transporting layer for triple cation perovskite solar cells
Authors: Zakaria Y. , Aïssa B. , Fix T. , Ahzi S. , Mansour S. , Slaoui A.
Published: June 2023

The perovskite solar cells (PSCs) are still facing the two main challenges of stability and scalability to meet the requirements for their potential commercialization. Therefore, developing a uniform, efficient, high quality and cost-effective electron transport layer (ETL) thin film to achieve a stable PSC is one of the key factors to address these main issues. Magnetron sputtering deposition has been widely used for its high quality thin film deposition as well as its ability to deposit films uniformly on large area at the industrial scale. In this work, we report on the composition, structural, chemical state, and electronic properties of moderate temperature radio frequency (RF) sputtered SnO2. Ar and O2 are employed as plasma-sputtering and reactive gases, respectively. We demonstrate the possibility to grow a high quality and stable SnO2 thin films with high transport properties by reactive RF magnetron sputtering. Our findings show that PSC devices based on the sputtered SnO2 ETL have reached a power conversion efficiency up to 17.10% and an average operational lifetime over 200 h. These uniform sputtered SnO2 thin films with improved characteristics are promising for large photovoltaic modules and advanced optoelectronic devices.
Immunogenic cell death-related classifications guide prognosis and immunotherapy in osteosarcoma
Authors: Zong Yuan , Cao Yu , Zhang Ding , Guan Xiaoqing , Zhang Fengyi , Shen Zhubin , Yin Fei
Published: June 2023

Immunogenic cell death (ICD) is a form of cell death that stimulates the immune system to produce an immune response by releasing tumour-associated antigens and tumour-specific antigens and is considered to play an important role in tumour immunotherapy. In the present study, we identified two ICD-related subtypes in osteosarcoma (OS) by consensus clustering. The ICD-low subtype was associated with favourable clinical outcomes, abundant immune cell infiltration, and high activity of immune response signalling. We also established and validated an ICD-related prognostic model, which could not only be used to predict the overall survival of OS patients but was also found to be closely related to the tumour immune microenvironment of OS patients. Overall, we established a new classification system for OS based on ICD-related genes, which can be used to predict the prognosis of OS patients and to select appropriate immunotherapy drugs.
Value of [18F]FDG PET/CT radiomic parameters in the context of response to chemotherapy in advanced cervical cancer
Authors: Burchardt Ewa , Bos-Liedke Agnieszka , Serkowska Kamila , Cegla Paulina , Piotrowski Adam , Malicki Julian
Published: June 2023

The first-order statistical (FOS) and second-order texture analysis on basis of Gray-Level Co-occurence Matrix (GLCM) were obtained to assess metabolic, volumetric, statistical and radiomic parameters of cervical cancer in response to chemotherapy, recurrence and age of patients. The homogeneous group of 83 patients with histologically confirmed IIIC1–IVB stage cervical cancer were analyzed, retrospectively. Before and after chemotherapy, the advancement of the disease and the effectiveness of the therapy, respectively, were established using [18F] FDG PET/CT imaging. The statistically significant differences between pre- and post-therapy parameters were observed for SUVmax, SUVmean, TLG, MTV, asphericity (ASP, p = 0.000, Z > 0), entropy (E, p = 0.0000), correlation (COR, p = 0.0007), energy (En, p = 0.000) and homogeneity (H, p = 0.0018). Among the FOS parameters, moderate correlation was observed between pre-treatment coefficient of variation (COV) and patients’ recurrence (R = 0.34, p = 0.001). Among the GLCM textural parameters, moderate positive correlation was observed for post-treatment contrast (C) with the age of patients (R = 0.3, p = 0.0038) and strong and moderate correlation was observed in the case of En and H with chemotherapy response (R = 0.54 and R = 0.46, respectively). All correlations were statistically significant. This study indicates the remarkable importance of pre- and post-treatment [18F] FDG PET statistical and textural GLCM parameters according to prediction of recurrence and chemotherapy response of cervical cancer patients.
Predicting health outcomes in dogs using insurance claims data
Authors: Debes Christian , Wowra Johannes , Manzoor Sarosh , Ruple Audrey
Published: June 2023

In this paper we propose a machine learning-based approach to predict a multitude of insurance claim categories related to canine diseases. We introduce several machine learning approaches that are evaluated on a pet insurance dataset consisting of 785,565 dogs from the US and Canada whose insurance claims have been recorded over 17 years. 270,203 dogs with a long insurance tenure were used to train a model while the inference is applicable to all dogs in the dataset. Through this analysis we demonstrate that with this richness of data, supported by the right feature engineering, and machine learning approaches, 45 disease categories can be predicted with high accuracy.
Glutaraldehyde-pea protein grafted polysaccharide matrices for functioning as covalent immobilizers
Authors: Wahba Marwa I.
Published: June 2023

Three polysaccharide matrices (κ-Carrageenan (Carr), gellan gum, and agar) were grafted via glutaraldehyde (GA) and pea protein (PP). The grafted matrices covalently immobilized β-d-galactosidase (β-GL). Nonetheless, grafted Carr acquired the topmost amount of immobilized β-GL (iβ-GL). Thus, its grafting process was honed via Box-Behnken design and was further characterized via FTIR, EDX, and SEM. The optimal GA-PP-Carr grafting comprised processing Carr beads with 10% PP dispersion of pH 1 and 25% GA solution. The optimal GA-PP-Carr beads acquired 11.44 Ug−1 iβ-GL with 45.49% immobilization efficiency. Both free and GA-PP-Carr iβ-GLs manifested their topmost activity at the selfsame temperature and pH. Nonetheless, the β-GL Km and Vmax values were reduced following immobilization. The GA-PP-Carr iβ-GL manifested good operational stability. Moreover, its storage stability was incremented where 91.74% activity was offered after 35 storage days. The GA-PP-Carr iβ-GL was utilized to degrade lactose in whey permeate with 81.90% lactose degradation efficiency.
Deep learning phase error correction for cerebrovascular 4D flow MRI
Authors: Srinivas Shanmukha , Masutani Evan , Norbash Alexander , Hsiao Albert
Published: June 2023

Background phase errors in 4D Flow MRI may negatively impact blood flow quantification. In this study, we assessed their impact on cerebrovascular flow volume measurements, evaluated the benefit of manual image-based correction, and assessed the potential of a convolutional neural network (CNN), a form of deep learning, to directly infer the correction vector field. With IRB waiver of informed consent, we retrospectively identified 96 MRI exams from 48 patients who underwent cerebrovascular 4D Flow MRI from October 2015 to 2020. Flow measurements of the anterior, posterior, and venous circulation were performed to assess inflow-outflow error and the benefit of manual image-based phase error correction. A CNN was then trained to directly infer the phase-error correction field, without segmentation, from 4D Flow volumes to automate correction, reserving from 23 exams for testing. Statistical analyses included Spearman correlation, Bland–Altman, Wilcoxon-signed rank (WSR) and F-tests. Prior to correction, there was strong correlation between inflow and outflow (ρ = 0.833–0.947) measurements with the largest discrepancy in the venous circulation. Manual phase error correction improved inflow-outflow correlation (ρ = 0.945–0.981) and decreased variance (p < 0.001, F-test). Fully automated CNN correction was non-inferior to manual correction with no significant differences in correlation (ρ = 0.971 vs ρ = 0.982) or bias (p = 0.82, Wilcoxon-Signed Rank test) of inflow and outflow measurements. Residual background phase error can impair inflow-outflow consistency of cerebrovascular flow volume measurements. A CNN can be used to directly infer the phase-error vector field to fully automate phase error correction.
An efficient multilevel image thresholding method based on improved heap-based optimizer
Authors: Houssein Essam H. , Mohamed Gaber M. , Ibrahim Ibrahim A. , Wazery Yaser M.
Published: June 2023

Image segmentation is the process of separating pixels of an image into multiple classes, enabling the analysis of objects in the image. Multilevel thresholding (MTH) is a method used to perform this task, and the problem is to obtain an optimal threshold that properly segments each image. Methods such as the Kapur entropy or the Otsu method, which can be used as objective functions to determine the optimal threshold, are efficient in determining the best threshold for bi-level thresholding; however, they are not effective for MTH due to their high computational cost. This paper integrates an efficient method for MTH image segmentation called the heap-based optimizer (HBO) with opposition-based learning termed improved heap-based optimizer (IHBO) to solve the problem of high computational cost for MTH and overcome the weaknesses of the original HBO. The IHBO was proposed to improve the convergence rate and local search efficiency of search agents of the basic HBO, the IHBO is applied to solve the problem of MTH using the Otsu and Kapur methods as objective functions. The performance of the IHBO-based method was evaluated on the CEC’2020 test suite and compared against seven well-known metaheuristic algorithms including the basic HBO, salp swarm algorithm, moth flame optimization, gray wolf optimization, sine cosine algorithm, harmony search optimization, and electromagnetism optimization. The experimental results revealed that the proposed IHBO algorithm outperformed the counterparts in terms of the fitness values as well as other performance indicators, such as the structural similarity index (SSIM), feature similarity index (FSIM), peak signal-to-noise ratio. Therefore, the IHBO algorithm was found to be superior to other segmentation methods for MTH image segmentation.
Pulmonary hypertension without heart failure causes cardiorenal syndrome in a porcine model
Authors: Orieux Arthur , Samson Chloé , Pieroni Laurence , Drouin Sarah , Dang Van Simon , Migeon Tiffany , Frere Perrine , Brunet Dorothée , Buob David , Hadchouel Juliette , Guihaire Julien , Mercier Olaf , Galichon Pierre
Published: June 2023

Cardiorenal syndromes type 1 and 2 are complex disorders in which cardiac dysfunction leads to kidney dysfunction. However, the mechanisms remain incompletely explained, during pulmonary hypertension in particular. The objective of this study is to develop an original preclinical model of cardiorenal syndrome secondary to a pulmonary hypertension in piglets. Twelve 2-month-old Large White piglets were randomized in two groups: (1) induction of pulmonary hypertension by ligation of the left pulmonary artery and iterative embolizations of the right lower pulmonary artery, or (2) Sham interventions. We evaluated the cardiac function using right heart catheterization, echocardiography and measurement of biochemistry markers). Kidney was characterized using laboratory blood and urine tests, histological evaluation, immunostainings for renal damage and repair, and a longitudinal weekly assessment of the glomerular filtration rate using creatinine-based estimation and intravenous injection of an exogenous tracer on one piglet. At the end of the protocol (6 weeks), the mean pulmonary artery pressure (32 ± 10 vs. 13 ± 2 mmHg; p = 0.001), pulmonary vascular resistance (9.3 ± 4.7 vs. 2.5 ± 0.4 WU; p = 0.004) and central venous pressure were significantly higher in the pulmonary hypertension group while the cardiac index was not different. Piglets with pulmonary hypertension had higher troponin I. We found significant tubular damage and an increase in albuminuria in the pulmonary hypertension group and negative correlation between pulmonary hypertension and renal function. We report here the first porcine model of cardiorenal syndrome secondary to pulmonary hypertension.
Influence of inorganic and organic salts on the hydration mechanism of montmorillonite based on molecular simulation
Authors: Yang Lianjun , Xiang Bo , Zhao Haisong , Wu Kai , Liu Enlong , Zhang Ge
Published: June 2023

The molecular dynamics method is used to further reveal, from the molecular point of view, the mechanisms of salt inhibiting the hydration of Na-MMT. The interaction between water molecules, salt molecules, and montmorillonite are calculated by establishing the adsorption models. According to the simulation results, the adsorption conformation, interlayer concentration distribution, self-diffusion coefficient, ion hydration parameters, and other data are compared and analyzed. The simulation results show that the volume and basal spacing increase in a stepwise manner with the increase of water content, and water molecules have different hydration mechanisms. The addition of salt will enhance the hydration properties of compensating cations of montmorillonite and affect the mobility of particles. The addition of inorganic salts mainly reduces the adsorption tightness between water molecules and crystal surfaces, thereby reducing the thickness of water molecules layer, while the organic salts can better inhibit migration by controlling interlayer water molecules. The results of molecular dynamics simulations reveal the microscopic distribution of particles and the influence mechanism when the swelling properties of montmorillonite are modified by chemical reagents.
Exercise reduces hyperlipidemia-induced cardiac damage in apolipoprotein E-deficient mice via its effects against inflammation and oxidative stress
Authors: Pei Zuowei , Ji Jun , Gao Yanyan , Wang Heshuang , Wu Yuanyuan , Yang Jin , Yang Qin , Zhang Li
Published: June 2023

Cardiovascular disease is a high incidence and mortality rate disease worldwide. Exercise training has become an established evidence-based treatment strategy that is beneficial for many cardiovascular diseases. This study aimed to investigate the effects of exercise on hyperlipidemia-induced cardiac damage in apolipoprotein E-deficient (ApoE−/−) mice. Male ApoE−/− mice were randomly divided into the following four groups: normal diet (ND), normal diet + exercise training (ND + E), high-fat diet (HFD), and high-fat diet + exercise training (HFD + E). Exercise training consisted of swimming for 40 min, 5 days/week for 12 weeks. After 12 weeks, histopathological alterations in cardiac tissue and the serum were measured. Furthermore, the NOX4, NRF2, SIRT1, TGF-β, HO-1, collagen III, Smad3, Bax, Bak, Bcl-2, Bcl-xl, IL-1β, IL-6, and IL-18 expression levels were evaluated using immunohistochemistry and western blotting; Results: the serum levels of SIRT1, GSH-Px, and SOD were lower in ApoE−/− HFD mice compared with those in ApoE−/− HFD + E mice. Significant pathological changes were observed in the ApoE−/− HFD + E group compared with those in the ApoE−/− HFD group. Increased levels of oxidative stress, fibrosis, and apoptosis, and decreased antioxidant expression in the ApoE−/− HFD group compared with those in ApoE−/− HFD + E mice. Exercise exerts protective effects against cardiac damage caused by hyperlipidemia.
A clustering-optimized segmentation algorithm and application on food quality detection
Authors: Wu QingE , Li Penglei , Chen Zhiwu , Zong Tao
Published: June 2023

For solving the problem of quality detection in the production and processing of stuffed food, this paper suggests a small neighborhood clustering algorithm to segment the frozen dumpling image on the conveyor belt, which can effectively improve the qualified rate of food quality. This method builds feature vectors by obtaining the image's attribute parameters. The image is segmented by a distance function between categories using a small neighborhood clustering algorithm based on sample feature vectors to calculate the cluster centers. Moreover, this paper gives the selection of optimal segmentation points and sampling rate, calculates the optimal sampling rate, suggests a search method for optimal sampling rate, as well as a validity judgment function for segmentation. Optimized small neighborhood clustering (OSNC) algorithm uses the fast frozen dumpling image as a sample for continuous image target segmentation experiments. The experimental results show the accuracy of defect detection of OSNC algorithm is 95.9%. Compared with other existing segmentation algorithms, OSNC algorithm has stronger anti-interference ability, faster segmentation speed as well as more efficiently saves key information ability. It can effectively improve some disadvantages of other segmentation algorithms.
The genetic and clinical characteristics of WFS1 related diabetes in Chinese early onset type 2 diabetes
Authors: Li Yating , Gong Siqian , Li Meng , Cai Xiaoling , Liu Wei , Zhang Simin , Ma Yumin , Luo Yingying , Zhou Lingli , Zhang Xiuying , Huang Xiuting , Gao Xueying , Hu Mengdie , Li Yufeng , Ren Qian , Wang Yanai , Zhou Xianghai , Han Xueyao , Ji Linong
Published: June 2023

Diabetes is one of the most common phenotypes of Wolfram syndrome owing to the presence of the variants of the WFS1 gene and is often misdiagnosed as other types of diabetes. We aimed to explore the prevalence of WFS1-related diabetes (WFS1-DM) and its clinical characteristics in a Chinese population with early-onset type 2 diabetes (EOD). We sequenced all exons of the WFS1 gene in 690 patients with EOD (age at diagnosis ≤ 40 years) for rare variants. Pathogenicity was defined according to the standards and guidelines of the American College of Medical Genetics and Genomics. We identified 33 rare variants predicted to be deleterious in 39 patients. The fasting [1.57(1.06–2.22) ng/ml] and postprandial C-peptide levels [2.8(1.75–4.46) ng/ml] of the patients with such WFS1 variations were lower than those of the patients without WFS1 variation [2.09(1.43–3.05) and 4.29(2.76–6.07) respectively, ng/ml]. Six (0.9%) patients carried pathogenic or likely pathogenic variants; they met the diagnostic criteria for WFS1-DM according to the latest guidelines, but typical phenotypes of Wolfram syndrome were seldom observed. They were diagnosed at an earlier age and usually presented with an absence of obesity, impaired beta cell function, and the need for insulin treatment. WFS1-DM is usually mistakenly diagnosed as type 2 diabetes, and genetic testing is helpful for individualized treatment.
Improving deep learning model performance under parametric constraints for materials informatics applications
Authors: Gupta Vishu , Peltekian Alec , Liao Wei-keng , Choudhary Alok , Agrawal Ankit
Published: June 2023

Modern machine learning (ML) and deep learning (DL) techniques using high-dimensional data representations have helped accelerate the materials discovery process by efficiently detecting hidden patterns in existing datasets and linking input representations to output properties for a better understanding of the scientific phenomenon. While a deep neural network comprised of fully connected layers has been widely used for materials property prediction, simply creating a deeper model with a large number of layers often faces with vanishing gradient problem, causing a degradation in the performance, thereby limiting usage. In this paper, we study and propose architectural principles to address the question of improving the performance of model training and inference under fixed parametric constraints. Here, we present a general deep-learning framework based on branched residual learning (BRNet) with fully connected layers that can work with any numerical vector-based representation as input to build accurate models to predict materials properties. We perform model training for materials properties using numerical vectors representing different composition-based attributes of the respective materials and compare the performance of the proposed models against traditional ML and existing DL architectures. We find that the proposed models are significantly more accurate than the ML/DL models for all data sizes by using different composition-based attributes as input. Further, branched learning requires fewer parameters and results in faster model training due to better convergence during the training phase than existing neural networks, thereby efficiently building accurate models for predicting materials properties.
Functional impact and molecular binding modes of drugs that target the PI3K isoform p110δ
Authors: Hassenrück Floyd , Farina-Morillas Maria , Neumann Lars , Landini Francesco , Blakemore Stuart James , Rabipour Mina , Alvarez-Idaboy Juan Raul , Pallasch Christian P. , Hallek Michael , Rebollido-Rios Rocio , Krause Günter
Published: June 2023

Targeting the PI3K isoform p110δ against B cell malignancies is at the mainstay of PI3K inhibitor (PI3Ki) development. Therefore, we generated isogenic cell lines, which express wild type or mutant p110δ, for assessing the potency, isoform-selectivity and molecular interactions of various PI3Ki chemotypes. The affinity pocket mutation I777M maintains p110δ activity in the presence of idelalisib, as indicated by intracellular AKT phosphorylation, and rescues cell functions such as p110δ-dependent cell viability. Resistance owing to this substitution consistently affects the potency of p110δ-selective in contrast to most multi-targeted PI3Ki, thus distinguishing usually propeller-shaped and typically flat molecules. Accordingly, molecular dynamics simulations indicate that the I777M substitution disturbs conformational flexibility in the specificity or affinity pockets of p110δ that is necessary for binding idelalisib or ZSTK474, but not copanlisib. In summary, cell-based and molecular exploration provide comparative characterization of currently developed PI3Ki and structural insights for future PI3Ki design.
Activation-inducible CAR expression enables precise control over engineered CAR T cell function
Authors: Fraessle Simon P. , Tschulik Claudia , Effenberger Manuel , Cletiu Vlad , Gerget Maria , Schober Kilian , Busch Dirk H. , Germeroth Lothar , Stemberger Christian , Poltorak Mateusz P.
Published: June 2023

CAR T cell therapy is a rapidly growing area of oncological treatments having a potential of becoming standard care for multiple indications. Coincidently, CRISPR/Cas gene-editing technology is entering next-generation CAR T cell product manufacturing with the promise of more precise and more controllable cell modification methodology. The intersection of these medical and molecular advancements creates an opportunity for completely new ways of designing engineered cells to help overcome current limitations of cell therapy. In this manuscript we present proof-of-concept data for an engineered feedback loop. We manufactured activation-inducible CAR T cells with the help of CRISPR-mediated targeted integration. This new type of engineered T cells expresses the CAR gene dependent on their activation status. This artifice opens new possibilities to regulate CAR T cell function both in vitro and in vivo. We believe that such a physiological control system can be a powerful addition to the currently available toolbox of next-generation CAR constructs.
Study on preparation and thermal properties of new inorganic eutectic binary composite phase change materials
Authors: Zhang Qi , Li Yinlei , Song Jun , Zhang XueLing , Wu Xuehong , Liu Chongyang , Li Yanfang
Published: June 2023

The eutectic salt of NH4Al(SO4)2·12H2O (AASD) and MgSO4·7H2O (MSH) was prepared and the performance was studied. Nucleation and thickening agents are added to reduce its subcooling degree.
Single molecule aggregation-induced dual and white-light emissive etherified aroyl-S,N-ketene acetalsviaone-pot synthesis
Authors: Biesen Lukas , Müller Thomas J. J.
Published: June 2023

A novel addition–elimination-Williamson-etherification one-pot sequence furnishes rainbow-tunable solid-state emissive etherified aroyl-S,N-ketene acetals that show aggregation-induced white light emission (AIWLE).
Comparing Scores on the Peabody Picture Vocabulary Test and Receptive One-Word Picture Vocabulary Test in Preschoolers With and Without Hearing Loss
Authors: Ingvalson Erin M. , Perry Lynn K. , VanDam Mark , Grieco-Calub Tina M.
Published: June 2023

Purpose:

We sought to compare raw scores, standard scores, and age equivalences on two commonly used vocabulary tests, the Peabody Picture Vocabulary Test (PPVT) and the Receptive One-Word Picture Vocabulary Test (ROWPVT).

Method:

Sixty-two children, 31 with hearing loss (HL) and 31 with normal hearing (NH), were given both the PPVT and ROWPVT as part of an ongoing longitudinal study of emergent literacy development in preschoolers with and without HL. All children were between 3 and 4 years old at administration, and the two tests were administered within 3 weeks of each other. Both tests were given again 6 months later. Standard scores and age equivalencies were calculated for both tests using published guidelines.

Results:

There was no significant effect of test for any of our analyses. However, there was a main effect of time, with both standard scores and age equivalencies being significantly higher at the second test. Children with NH had significantly higher standard scores and age equivalencies than children with NH, but there was no interaction between hearing status and time, suggesting that the two groups were growing at the same rate.

Conclusions:

Clinicians can be comfortable administering both the PPVT and ROWPVT to estimate children's vocabulary levels, but there may be practice effects when administering the tests twice within a calendar year. These data also indicate that children with HL continue to lag behind their peers with NH on vocabulary development.

Supplemental Material:

https://doi.org/10.23641/asha.23232848
Object and it’s dimension detection in real time
Authors: Karanam Madhavi , Kamani Varun Kumar , Kuchana Vikas , Koppula Gopal Krishna Reddy , Gongada Gautham
Published: June 2023

Object and its dimension detection from images and videos can be very helpful for everyday use. This paper discusses the use of the system to detect an object in real time and provide its dimensions upon demand. The object dimension measurement and detection are some of the important topics of computer vision which helps in automating the manual tasks. Human beings are capable of recognizing and spotting objects in images and videos, but computers lack that ability with out prior training. To train the computer, we must use machine learning, computer vision, and object detection algorithms. This project provides the way to detect and measure an object’s dimension in real time from a webcam. To estimate the object’s dimension in real time, we have utilized the OpenCV and NumPy libraries. Computer vision provides support to computers to observe and understand. Computer vision helps the computer in understanding a 3D surrounding from a 2D image and trains the computer to perform different functions. It also helps in Human Computer Interaction effectively because it is able to differentiate the objects with surroundings and provide us with the key information.
Static and pseudo-static stability analysis of right earthen embankment of nagarjuna sagar dam by geostudio
Authors: Jyothi Kotha Bala , Singh Umesh Kumar
Published: June 2023

To ensure the safety of the dam, stability assessment of the dam is necessary. The objective is to perform slope stability analysis for upstream, downstream and seepage analysis during steady state, transient seepage conditions and to know about the displacement occurred at history nodes by the application of pseudo-static ground motion. The present work deals with the behavior of the Right earthen embankment of Nagarjuna Sagar which is in earthquake prone area of Zone-II (as per IS 1893-2002). Stability parameters slope, seepage and earthquake analyzed by SLOPE/W, SEEP/W, QUAKE/W tools in GeoStudio 2022 (finite element modeling based software). The model with full reservoir level is first analyzed by SEEP/W to find piezometric line which is basis to perform SLOPE/W for finding slope stability. Later an earthquake motion of 0.1 peak ground acceleration is subjected to it by using QUAKE/W. It is concluded from results, that obtained factor of safety lie within safety limits and seepage loss observed during the design life of 100 years is 562290 m3, 3431117 m3 for steady state and rapid drawdown.
Enhancement of Engineering Properties of Black Cotton Soil Using rice husk and sawdust ash
Authors: Ingabire Divine , Kumar Sanjeet
Published: June 2023

The weak engineering properties of black cotton soil can cause instability and failure of structures built upon it. Thus, the improvement of its properties is of utmost importance. The present research is to investigate the effect of integrating sawdust ash and rice husk ash on the engineering features of black cotton soil. The soil samples were collected from Guntur KL University, Andhra Pradesh, at a depth of 1-2 meters. Rice husk ash was added to the soil in varied percentages of 0, 3, 6, 9, 12, and 15% by weight of black cotton soil, whereas sawdust ash was added to all mixed samples at 6% by weight of soil. To analyze the engineering properties of the soil and its mixtures, laboratory tests such as Atterberg’s Limits, Specific Gravity, Particle Size Distribution, Standard Proctor test, Unconfined Compressive Strength (UCS), and California Bearing Ratio (CBR) were performed. Results showed that adding a combination of 9% Rice husk and 6% sawdust ash to the weight of black cotton soil notably improves its engineering properties. Therefore, sawdust and rice husk ash have the potential as soil stabilizing agents, making black cotton soil a more suitable foundation material for construction.
Experimental investigation on the effet of input paramètres on surface roughness and MRR of abrasive flow machining process
Authors: Rao P. Kondala , Janardhana G. Ranga
Published: June 2023

A crucial and costly step in the whole manufacturing process is the precision and super finishing procedure. A step of final finishing is involved in the production of precision components. It accounts for a respectable portion of the cost of production overall, is mostly uncontrolled, and requires a lot of manpower. Abrasive finish methods are being developed to address issues including high direct costs and the production of precision components with particular characteristics for finishing inaccessible places. A vast number of cutting blades with arbitrary orientation and shape are used in the abrasive finishing process. Due to their ability to complete a variety of form geometries with the appropriate dimensional accuracy and surface polish, abrasive fine procedures are often used. The unconventional finishing method known as AFM (abrasive flow machining) presses abrasive viscoelastic polymer on the surface of work piece. Al7075/SiC NMMCs’ internal rounded and hollow surfaces are completed using an AFM trial procedure that is constructed and designed in conjunction with specially produced medium. Workpieces are created using a lathe shortly after stir casting metal matrix nano composites with cross sections of 25 mm in diameter and containing 1 percent,1 ,2,3,4 nano-Sic (50 nm) by weight. Extrusion pressure abrasive particle grain size number of cycles were evaluated for their surface roughness (Ra) than material removal (MR), respectively. The evaluation of the material’s qualities, such as density, hardness, and tensile strength The improvement in the surface completeness of these NMMCs is further shown by the scanning Microscopy OM, EDS SEM, and XED analyses.