bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of the structure transformation effect of ion-exchange membranes on a separation processes efficiency of technological solutions and an ecological safety of food production enterprises
Authors: Lazarev S I , Shestakov K V , Khokhlov P A , Khorokhorina I V , Abonosimov O A , Polyansky K K 
Published: July 2022

Abstract
A membrane separation of solutions, along with other purification methods, plays an important role in the effective and ecological safety of food production enterprises and is used for softening and demineralization of water, separation, concentration and purification of technological solutions, as well as for other processes. An important problem of membrane and electromembrane separation methods is to increase the used membrane selectivity. Therefore, the aim of this work was to study the structure transformation effect of ion-exchange membranes on a separation processes efficiency of technological solutions and an ecological safety of food production enterprises using the methods of X-ray diffraction analysis and differential scanning calorimetry (DSC). The analysis of the calculated values of crystallinity degree (CD) by X-ray diffractograms allowed us to identify the different effect of water saturation on the studied membranes. The structure of their material changes, which in turn affects the transport characteristics of the membranes, the efficiency of separation and, ultimately, the environmental ecological safety food enterprises. The cation-exchange membrane MK-40L was characterized by an increase in CD by 5.83%, and the anion exchange membrane MA-41P on the contrary was characterized by a decrease in CD by 5.87%. The crystallite sizes were distributed in the range of 0.096-0.345 nm for the MA-41P membrane and 0.096-0.193 nm for the MK-40L membrane. During thermal studies by DSC one endothermic and exothermic sections were revealed on the obtained curves in the temperature range of 30-202 and 202-498 °C for the MK-40L membrane and 30-223 °C and 223-498 °C for the MA-41P membrane, respectively. The endothermic sections of the curves were characterized by one endothermic peak. Four or five pronounced exothermic peaks were registered on the exothermic sections. At the same time, the MK-40L membrane was characterized by more intense peaks in a water-saturated sample and the MA-41P membrane in the dry one.
Technology development of producing adsorption material from cereal crops waste for accidental oil spill response
Authors: Sverguzova S V , Stepanova S V , Khafizova L Y , Shaikhiev I G 
Published: July 2022

Abstract
The article considers the developed technology of producing sorption material based on chemically and thermally modified cereal grain husks for removing accidentaloil spillsfrom water surface. Equipment, modes and conditions for modifying the surface of a new adsorption material in order to increase the sorption capacity in relation to oil and construction of mats are proposed. The calculated cost of the resulting modifiers is tenstimes lower than the standard adsorbents used inaccidental oil spill responses. Additionally, a threefold use of treated sorption material based on modified crops waste by pressing has been theoretically justified. It is proposed to incinerate the waste generated as a result of accidental oil spillremoval from the water surface in a pulsate combustion unit at a temperature of 1100 °C. The hazard class of ash generated during combustion has been determined – class 3. Semi-industrial tests with the proposed modified materials for the elimination of emergency oil spills on the surface of an unnamed stream have been carried out. As a result, the concentration of oil in water decreased by 99.99 %, as well as toxicity.
Continuous-flow hop dryer with endogenous convection heat producers
Authors: Prosviryakova M V , Storchevoy V F , Goryacheva N G , Mikhailova O V , Novikova G V , Storchevoy A V 
Published: July 2022

Abstract
The paper describes a KhS-400 hop dryer configuration that calls for operating conditions to be aligned for autumn conditions due to a lower moisture-absorbing capacity of ambient air, thus making consumer-oriented characteristics unstable. It seems relevant to design a continuous-flow hop dryer to provide endogenous convection drying of freshly harvested hops that reduces operating costs and maintains consumer-oriented characteristics. The innovative idea is that the hop dryer incorporates resonators with concave surfaces and ceramic perforated convex bases, and oscillators operating at close frequencies: 915 MHz, 2375 MHz, 2450 MHz. The scientific goal is to develop continuous-flow methods and equipment with microwave generators and reasonably-configured unconventional resonators for drying hops, providing electromagnetic safety with no shield. The configuration comprises concave paraboloid and concave hyperboloid resonators sequentially fitted to form a drying chamber. The shared bases of the joined resonators are dielectric convex perforated disks rigidly fixed. A conveyor belt runs along the drying chamber. A duct is attached at one side of the base to the junction of the hyperboloid resonator with the paraboloid resonator. An air outlet is attached at the other side of the base to the junction of the hyperboloid resonator with another paraboloid resonator. Generators are located along the perimeter of both paraboloid resonators and along the perimeter of a small-diameter circle of the hyperboloid resonator with an offset of 120 °. The vertices of both paraboloid resonators are truncated and have slots wide enough for letting the conveyor belt pass carrying the raw material.
Investigation of thermophysical properties of milk thistle seeds and oils with the differential scanning calorimetry method
Authors: Saranov I A , Rudakov O B , Berestovoy A A , Toroptsev V V , Likhacheva L B , Martekha A N 
Published: July 2022

Abstract
The purpose of work was to study the possibility of increasing the information content of differential scanning calorimetry (DSC) data when studying properties of various samples of milk thistle seeds and oils. The possibility of DSC method application for studying milk thistle oils thermophysical properties is shown, and the method for conducting temperature measurements is described in the work. The results of thermal analysis of milk thistle raw materials and oils obtained with cold pressing by the DSC method showed noticeable differences in oils melting profiles. When analyzing samples of milk thistle oils, differing from each other in the variety, place and growing conditions, it can be seen that the melting curves have differences with the general similarity of the profiles. The peaks of the DSC profile curves of oil stored at room temperature for six months are shifted towards higher temperatures compared to the DSC profile of freshly pressed oil, which is explained by oxidative deterioration and leads to an increase in the temperature of triacylglycerols phase transitions. This confirms the assumption that the DSC method can be used as an independent method for quality control of liquid vegetable oils. The selection of phase transitions temperatures of oils and raw materials was carried out with double differentiation. The use of the NETZSCH Peak Separation program according to the general algorithm for calculating the second melting curves derivatives and determining the endothermic peaks area made it possible to increase the information content of thermograms obtained by the DSC method. Thermal analysis showed an increased residual content of unsaturated fats in the meal obtained by cold pressing oil extracting.
Study of operating modes of a double-chamber diaphragm milk pump
Authors: Atanov I V , Kapustin I V , Gritsay D I , Kulaev E V 
Published: July 2022

Abstract
Diaphragm (membrane) pumps refer to a class of devices with a reciprocating movement of the working body that are widely used in various industrial technologies and in everyday life. In agricultural production, these pumps are used in the production line of milking installations and for creating a vacuum in individual milking machines. The most important distinguishing feature of a diaphragm pump is the minimum mechanical effect on the pumped product due to the excluded action of centrifugal forces, which in turn excludes mechanical impact and foaming. Therefore, they are mainly used for delicate pumping of products, in particular milk. Another important feature of the pump design is its tightness that serves as a reliable barrier to isolate the working and external environments. A significantly smaller number of rubbing parts in comparison with centrifugal pumps ensures higher reliability and minimum maintenance. Analysis of modern designs of diaphragm pumps showed that their productivity and operational reliability can be improved as follows: two-chamber version; the increased usable volume of the chamber due to the diaphragm structuring; electric drive of the working body. The team of authors substantiated the design of a two-chamber milk pump with an electromagnetic drive, substantiated its supply to ensure stable operation of the milking installation throughout the entire milking time, and calculated the effect of the structured diaphragm diameter on the pump flow. The laboratory bench of the Department of Machines and Technologies of Agro-industrial Complex, Stavropol State Agrarian University, was used for experimental studies, and the estimated payback period for the developed pump design was found not to exceed 1.2...1.5 years.
Soft electronics by inkjet printing metal inks on porous substrates
Authors: Kang Dong Jin , Gonzaléz-García Lola , Kraus Tobias 
Published: July 2022

Abstract
Soft electronic devices enable new types of products for an ergonomic interaction of humans with a digital environment. The inkjet (droplet on demand) printing of electrically conductive ink in plural on soft substrates such as paper, textile, and polymers is a promising route for the prototyping and small-scale production of soft electronics that is efficient, cost-saving, and provides a rapid turnaround due to its fully digital workflow. The choice of materials and processing parameters is challenging, however, due to the combined complexity of metal-containing inks, their dynamics during droplet ejection, the active role of the porous substrate, and possible post-deposition steps. This review focuses on recent developments in inkjet printing of metal inks onto soft, porous substrates and their applications. The first section discusses the general principles in the inkjet printing of metal inks, including drop formation and jetting, wetting, and post treatment processes. The second section deals with the effect that the porosity of substrates has on the drying, diffusion, and adhesion of inks. Finally, current challenges and achievements of inkjet-printed, metal-containing inks are discussed.
Body Mass Index Trajectories From Childhood to Adulthood and Age at Onset of Overweight and Obesity: The Influence of Parents’ Weight Status
Authors: Nielsen Jannie , Hulman Adam , Narayan K M Venkat , Cunningham Solveig A 
Published: July 2022

Abstract
We investigated the influence of parents’ weight status on their children’s growth trajectories and its association with age at onset of overweight and obesity. We used 16,396 height and weight records from 3,284 youths from the Panel Study of Income Dynamics, followed across childhood into adulthood (United States, 1997–2017). Across age groups, we modeled body mass index trajectories (ages 5–32 years) according to parents’ weight status, using mixed-effect models to estimate age at onset of overweight and obesity and proportion with obesity from childhood to adulthood. There were large differences in growth patterns according to parents’ weight status: Children of parents with obesity had, on average, overweight at age 6 (95% confidence interval (CI): 5, 7) and steep growth trajectories until age 12; children of normal-weight parents had slower increases in body mass index, reaching overweight on average at age 25 (95% CI: 24, 27). By age 30, 30% (95% CI: 28, 31) of youths had obesity. Differences in early-life growth persisted into adulthood: 48% (95% CI: 45, 52) of adult children of parents with obesity had obesity versus 16% (95% CI: 14, 19) of those of normal-weight parents. Trajectories to unhealthy weight were heavily influenced by parents’ weight status, especially before age 12, children of parents with obesity having overweight 19 earlier in life than children of normal-weight parents.
VIII—Intrinsically Desiring the Vague
Authors: Spencer Jack 
Published: July 2022

Abstract
If there are vague propositions, then the question arises whether it is rational to care intrinsically about the vague. This paper argues—contraBacon (2018), the most comprehensive defence of vague proposition to date—that it is. Some things, such as pain, may be rational to care intrinsically about only if precise, but some things, such as truth, are rational to care intrinsically about even if vague.
deepGraphh: AI-driven web service for graph-based quantitative structure–activity relationship analysis
Authors: Gautam Vishakha , Gupta Rahul , Gupta Deepti , Ruhela Anubhav , Mittal Aayushi , Mohanty Sanjay Kumar , Arora Sakshi , Gupta Ria , Saini Chandan , Sengupta Debarka , Murugan Natarajan Arul , Ahuja Gaurav 
Published: July 2022

Abstract
Artificial intelligence (AI)-based computational techniques allow rapid exploration of the chemical space. However, representation of the compounds into computational-compatible and detailed features is one of the crucial steps for quantitative structure–activity relationship (QSAR) analysis. Recently, graph-based methods are emerging as a powerful alternative to chemistry-restricted fingerprints or descriptors for modeling. Although graph-based modeling offers multiple advantages, its implementation demands in-depth domain knowledge and programming skills. Here we introduce deepGraphh, an end-to-end web service featuring a conglomerate of established graph-based methods for model generation for classification or regression tasks. The graphical user interface of deepGraphh supports highly configurable parameter support for model parameter tuning, model generation, cross-validation and testing of the user-supplied query molecules. deepGraphh supports four widely adopted methods for QSAR analysis, namely, graph convolution network, graph attention network, directed acyclic graph and Attentive FP. Comparative analysis revealed that deepGraphh supported methods are comparable to the descriptors-based machine learning techniques. Finally, we used deepGraphh models to predict the blood–brain barrier permeability of human and microbiome-generated metabolites. In summary, deepGraphh offers a one-stop web service for graph-based methods for chemoinformatics.
Replicability in cancer omics data analysis: measures and empirical explorations
Authors: Wang Jiping , Liang Hongmin , Zhang Qingzhao , Ma Shuangge 
Published: July 2022

AbstractIn biomedical research, the replicability of findings across studies is highly desired. In this study, we focus on cancer omics data, for which the examination of replicability has been mostly focused on important omics variables identified in different studies. In published literature, although there have been extensive attention and ad hoc discussions, there is insufficient quantitative research looking into replicability measures and their properties. The goal of this study is to fill this important knowledge gap. In particular, we consider three sensible replicability measures, for which we examine distributional properties and develop a way of making inference. Applying them to three The Cancer Genome Atlas (TCGA) datasets reveals in general low replicability and significant across-data variations. To further comprehend such findings, we resort to simulation, which confirms the validity of the findings with the TCGA data and further informs the dependence of replicability on signal level (or equivalently sample size). Overall, this study can advance our understanding of replicability for cancer omics and other studies that have identification as a key goal.
Cysteine string protein alpha accumulates with early pre-synaptic dysfunction in Alzheimer’s disease
Authors: Rupawala Huzefa , Shah Keshvi , Davies Caitlin , Rose Jamie , Colom-Cadena Marti , Peng Xianhui , Granat Lucy , Aljuhani Manal , Mizuno Keiko , Troakes Claire , Perez-Nievas Beatriz Gomez , Morgan Alan , So Po-Wah , Hortobagyi Tibor , Spires-Jones Tara L , Noble Wendy , Giese Karl Peter 
Published: July 2022

Abstract
In Alzheimer’s disease, synapse loss causes memory and cognitive impairment. However, the mechanisms underlying synaptic degeneration in Alzheimer’s disease are not well understood. In the hippocampus, alterations in the level of cysteine string protein alpha, a molecular co-chaperone at the pre-synaptic terminal, occur prior to reductions in synaptophysin, suggesting that it is a very sensitive marker of synapse degeneration in Alzheimer’s. Here, we identify putative extracellular accumulations of cysteine string alpha protein, which are proximal to beta-amyloid deposits in post-mortem human Alzheimer’s brain and in the brain of a transgenic mouse model of Alzheimer’s disease. Cysteine string protein alpha, at least some of which is phosphorylated at serine 10, accumulates near the core of beta-amyloid deposits and does not co-localize with hyperphosphorylated tau, dystrophic neurites or glial cells. Using super-resolution microscopy and array tomography, cysteine string protein alpha was found to accumulate to a greater extent than other pre-synaptic proteins and at a comparatively great distance from the plaque core. This indicates that cysteine string protein alpha is most sensitive to being released from pre-synapses at low concentrations of beta-amyloid oligomers. Cysteine string protein alpha accumulations were also evident in other neurodegenerative diseases, including some fronto-temporal lobar dementias and Lewy body diseases, but only in the presence of amyloid plaques. Our findings are consistent with suggestions that pre-synapses are affected early in Alzheimer’s disease, and they demonstrate that cysteine string protein alpha is a more sensitive marker for early pre-synaptic dysfunction than traditional synaptic markers. We suggest that cysteine string protein alpha should be used as a pathological marker for early synaptic disruption caused by beta-amyloid.
Panobinostat enhances NK cell cytotoxicity in soft tissue sarcoma
Authors: Lu Xiuxia , Liu Mengmeng , Yang Jing , Que Yi , Zhang Xing 
Published: July 2022

Abstract
Sarcoma is a rare and heterogeneous class of mesenchymal malignancies with poor prognosis. Panobinostat (LBH589) as one of histone deacetylase (HDAC) inhibitors has demonstrated anti-tumor activity in patients with sarcoma, but its mechanisms remains unclear. Here, we found that LBH589 alone inhibited the proliferation and colony formation of soft tissue sarcoma (STS) cell lines. Transcriptome analysis showed that treatment with LBH589 augmented the NK cell-mediated cytotoxicity. Quantitative real-time PCR and flow cytometric analysis (FACS) further confirmed that LBH589 increased the expression of NKG2D ligands MICA/MICB. Mechanistically, LBH589 activated the Wnt/β-catenin pathway by upregulating the histone acetylation in β-catenin promoter. In vitro co-culture experiments and in vivo animal experiments showed that LBH589 increased the cytotoxicity of natural killer (NK) cells while Wnt/β-catenin inhibitor decreased the effects. Our findings suggest that LBH589 facilitates the anti-tumor effect of NK cells, highlights LBH589 an effective assistance drug in NK cell-based immunotherapies.
A functional connectome signature of blood pressure in &gt;30 000 participants from the UK biobank
Authors: Jiang Rongtao , Calhoun Vince D , Noble Stephanie , Sui Jing , Liang Qinghao , Qi Shile , Scheinost Dustin 
Published: July 2022

Abstract

Aims
Elevated blood pressure (BP) is a prevalent modifiable risk factor for cardiovascular diseases and contributes to cognitive decline in late life. Despite the fact that functional changes may precede irreversible structural damage and emerge in an ongoing manner, studies have been predominantly informed by brain structure and group-level inferences. Here, we aim to delineate neurobiological correlates of BP at an individual level using machine learning and functional connectivity.

Methods and results
Based on whole-brain functional connectivity from the UK Biobank, we built a machine learning model to identify neural representations for individuals’ past (∼8.9 years before scanning, N = 35 882), current (N = 31 367), and future (∼2.4 years follow-up, N = 3 138) BP levels within a repeated cross-validation framework. We examined the impact of multiple potential covariates, as well as assessed these models’ generalizability across various contexts.
The predictive models achieved significant correlations between predicted and actual systolic/diastolic BP and pulse pressure while controlling for multiple confounders. Predictions for participants not on antihypertensive medication were more accurate than for currently medicated patients. Moreover, the models demonstrated robust generalizability across contexts in terms of ethnicities, imaging centres, medication status, participant visits, gender, age, and body mass index. The identified connectivity patterns primarily involved the cerebellum, prefrontal, anterior insula, anterior cingulate cortex, supramarginal gyrus, and precuneus, which are key regions of the central autonomic network, and involved in cognition processing and susceptible to neurodegeneration in Alzheimer’s disease. Results also showed more involvement of default mode and frontoparietal networks in predicting future BP levels and in medicated participants.

Conclusion
This study, based on the largest neuroimaging sample currently available and using machine learning, identifies brain signatures underlying BP, providing evidence for meaningful BP-associated neural representations in connectivity profiles.
High-quality, chromosome-scale genome assemblies: comparisons of three Diaphorina citri (Asian citrus psyllid) geographic populations
Authors: Carlson Curtis R , ter Horst Anneliek M , Johnston J Spencer , Henry Elizabeth , Falk Bryce W , Kuo Yen-Wen 
Published: July 2022

Abstract
The Asian citrus psyllid, Diaphorina citri, is the insect vector of the causal agent of huanglongbing (HLB), a devastating bacterial disease of commercial citrus. Presently, few genomic resources exist for D. citri. In this study, we utilized PacBio HiFi and chromatin confirmation contact (Hi-C) sequencing to sequence, assemble, and compare three high-quality, chromosome-scale genome assemblies of D. citri collected from California, Taiwan, and Uruguay. Our assemblies had final sizes of 282.67 Mb (California), 282.89 Mb (Taiwan), and 266.67 Mb (Uruguay) assembled into 13 pseudomolecules—a reduction in assembly size of 41–45% compared with previous assemblies which we validated using flow cytometry. We identified the X chromosome in D. citri and annotated each assembly for repetitive elements, protein-coding genes, transfer RNAs, ribosomal RNAs, piwi-interacting RNA clusters, and endogenous viral elements. Between 19,083 and 20,357 protein-coding genes were predicted. Repetitive DNA accounts for 36.87–38.26% of each assembly. Comparative analyses and mitochondrial haplotype networks suggest that Taiwan and Uruguay D. citri are more closely related, while California D. citri are closely related to Florida D. citri. These high-quality, chromosome-scale assemblies provide new genomic resources to researchers to further D. citri and HLB research.