bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on sewage characteristics in rural China and pollutants removal performance of biologically enhanced internal circulation treatment system
Authors: Rong Yi , Tang Hongjun , Zhang Yang , Sun Yingying , Liu Zhe
Published: July 2023

With rapid economic development and urbanization in China, rural wastewater treatment has become an important issue. This study investigated 63 rural sewage treatment stations in northern, central and southern Shaanxi, China for a one-year period, 2021 to 2022. The main purpose of the research was to investigate the quality and discharge characteristics of rural sewage, along with current problems in rural wastewater treatment, in order to provide evidence for the optimal construction and operation of rural sewage treatment stations. We found that, the biodegradability of rural wastewater is adequate, and BOD5/COD ratio in sewage was 0.4, which is suitable for biological treatment. However, it has obvious intermittent flow cut-off characteristics, and the range of cut-off duration of sewage was 6 ~ 16 h/d, which leads to poor pollutant removal efficiency (COD: 50.0 ± 29.2%, NH4+-N: 46.0 ± 26.1%, TN: 38.5 ± 24.9% and TP: 38.3 ± 23.8%) in sewage treatment stations. In response to the above characteristics, this study makes recommendations concerning biologically enhanced internal circulation treatment system (BEICT) for rural sewage. After 97 days of operation, the system has a stable removal effect on TN and TP with an average removal rate of 77.42% and 89.69%, respectively, under the condition of influent interruption for 12 h per day. In addition, the activated sludge of system maintained good activity and stable sedimentation performance during the whole experiment, with MLVSS/MLSS and SVI of 0.72 and 128 mL/g, respectively.
BRCA1 inhibits MYC:MAX heterodimerization by modulating the availability of transient MAX monomers
Authors: Kurzbach Dennis , Epasto Ludovica , Pötzl Christopher , Peterlik Herwig , Khalil Mahdi , Saint-Pierre Christine , Gasparutto Didier , Sicoli Giuseppe
Published: July 2023

The breast cancer susceptibility protein 1 (BRCA1) plays a pivotal role in inhibiting the transcriptional activity of the proto-oncogenic intrinsically disordered protein MYC. By direct binding to MYC, BRCA1 blocks its activation by the MYC-associated factor X (MAX) and the formation of the vital MYC:MAX complex. In contrast, BRCA1 is not associated with binding to the MAX. In this study, we demonstrate a previously undisclosed influence of BRCA1 on MYC:MAX activity. By employing simultaneously time- and residue-resolved nuclear magnetic resonance (NMR) spectroscopy, integrated with MD simulations and EPR spectroscopy, we provide evidence for two subtle regulatory mechanisms: 1. BRCA1 competes with MAX:MAX dimers for DNA ligands, which leads to a destabilization of the native DNA-bound form of the homodimer. 2. BRCA1 binds not only MYC to impede its heterodimerization and transcriptional activity, but it also occupies MAX, when dissociated into its uncommon monomeric form. This conformation is an intermediate that occurs transiently before heterodimerization with MYC. We demonstrate that the MAX monomer, much like MYC, forms highly dynamic complexes with BRCA1, which efficiently block both interaction partners. This discovery is rationalized by the fact that MYC and MAX monomers both lack a stable secondary and tertiary structure (so-called intrinsically disordered proteins) but display high sequence similarity. Both the abovementioned mechanisms balance each other. While the competition for DNA ligands (mechanism 1) promotes MYC:MAX formation, occupation of MAX (and MYC) by BRCA1 (mechanism 2) impedes it. Under the in-vitro conditions probed herein, i.e., an excess of BRCA1, the latter yet dominates, slowing down the MYC:MAX dimerization event and, thus, providing a potential mechanism for downregulation of its transcriptional efficacy. Since the deregulation of BRCA1 activity is directly linked to hereditary breast and ovarian cancer, our findings might open unconventional routes toward novel prevention strategies.
Decreased expression of thyroid hormone receptor beta (THRB) indicates a poor prognostic factor for liver cancer
Authors: Zhou Hao , Wang Weijie , Liang Ruopeng , Zhu Rongtao , Cao Jiahui , Sun Chenguang , Sun Yuling
Published: July 2023

Background: The reduced expression of Thyroid hormone receptors (TRs) which are encoded by two genes, THRA and THRB, is found in many human malignancies; however, the clinical prognostic value of TRs in patients with hepatocellular carcinoma (HCC) remains unclear.
Methods: The Kaplan-Meier analysis of TRs based on TCGA profile was performed. TRs expression in HCC tumors was evaluated in GEO and TCGA databases by R software. The correlation between the expression of THRB with immune cell infiltration was analyzed on TIMER 2.0 database.
Results: Kaplan-Meier analysis demonstrated that low THRB in tumors was significantly associated with worsened overall survival (OS) and disease-specific survival in HCC patients (P < 0.05), not THRA. Subgroup analysis showed that low expression of THRB was associated with reduced 1-year, 3-year, and 5-year OS (all P < 0.05). In addition, the clinical prognostic values of THRB downregulation for OS were more significant in HCC with hepatitis-virus (P = 0.0012), Asian race (P= 0.0038) and male (P = 0.002), and both in with- and without-alcohol-consumption (P = 0.0234 and P = 0.0199, respectively). We found that THRB was significantly down-regulated in tumors compared with nontumor tissues in 3 GEO series (GSE14520, GSE77314, GSE84005) and TCGA profile, but the other 2 GEO series (GSE45436, GSE60502) had no significant down-regulation in tumors. We further calculated the proportion of THRB down-regulated patients with paired samples based on the 4 GEO series and found 56.93% HCC patients with reduced expression of THRB. Immune cell infiltration analysis resulted that neutrophils were the top tumor immune infiltrating cell type associated with THRB.
Conclusions: The reduced expression of THRB rather than THRA correlated with worse OS in HCC patients.
Study on near-infrared diffused reflectance imaging for early caries detection
Authors: Wang Cheng , yang changxing , zhang haoying , Lai Guangyun , Xiang Huazhong , Wang Jun , Han Yu , Zhang Dawei
Published: July 2023

Objective: Dental caries is one of the most prevalent chronic diseases in the world. Early detection can significantly enhance therapeutic outcomes and lessen the need for intrusive procedures. This research mainly focuses on the viability of near-infrared diffuse reflectance imaging for early caries detection.
Methods: According to the theory of diffuse reflection imaging in tissue optics, a near-infrared diffuse reflectance imagery named new-NIR was established. In order to confirm the performance of the new-NIR, 54 areas of interest in 18 teeth were investigated simultaneously by the new-NIR, DIAGNOcam, which is a comparative diagnostic technique and visual inspection by a skilled dentist as the gold standard. The performance of the new-NIR was assessed using the Spearman grade correlation coefficient.
Results:Compared with the gold standard, the sensitivity, specificity and accuracy of the new-NIR were 0.806, 0.870 and 0.833, respectively. The sensitivity, specificity and accuracy of the DIAGNOcam were 0.871, 0.913, and 0.889, respectively.
Conclusion: This technology is simple to use, non-contact, and feasible in the early stages of suggesting tooth enamel caries. Future studies will combine near-infrared diffuse reflectance imaging with an automatic classification algorithm to provide family-based oral health monitoring tools to prevent caries.
Characteristics of esophageal squamous cell carcinomas resected by endoscopic submucosal dissection based on circumferential localization
Authors: Ishida Natsuki , Osawa Satoshi , Sugiura Kiichi , Takahashi Kenichi , Asai Yusuke , Miyazu Takahiro , Higuchi Tomohiro , Tamura Satoshi , Tani Shinya , Yamade Mihoko , Iwaizumi Moriya , Hamaya Yasushi , Sugimoto Ken
Published: July 2023

Regarding longitudinal location, esophageal squamous cell carcinoma (ESCC) frequently develops in the middle esophagus. However, few studies have focused on the circumferential location. We examined the frequency and characteristics of ESCC lesions resected by endoscopic submucosal dissection (ESD) regarding both longitudinal and circumferential locations. We retrospectively evaluated 193 ESD-resected ESCC lesions. The ESCC development frequency and histopathological invasion degrees were compared for each circumferential and longitudinal location. Characteristics of the lesions based on location were analyzed, focusing on the proportion of small lesions in the early stages in each location. Twenty-seven lesions were on the anterior wall, 62 on the left, 66 on the posterior, and 38 on the right. Of the four circumferential locations, the median tumor size was the smallest in the anterior wall. The proportions of lesions with an invasion depth of EP and size < 10 mm were the highest in the anterior wall (44.4% and 25.9%, respectively). There was a significant difference between the four circumferential locations for the proportion of ESCC lesions satisfying both criteria, wherein the highest proportion was in the anterior wall (P = 0.049). ESCC of the anterior wall is less frequent and may present as small lesions with shallow depths of invasion.
Seed treatment, leaf spraying or soil fertilization? Integration of Ni application methods increases the efficiency of biological N2-fixation, N metabolism and soybean yield
Authors: Rodak Bruna Wurr , Freitas Douglas Siqueira , Rossi Monica Lanzoni , Linhares Francisco Scaglia , Moro Edemar , Campos Cid Naudi Silva , Reis André Rodrigues dos , Guilherme Luiz Roberto Guimarães , Lavres José
Published: July 2023

Background and Aims
In soybean production systems, increasing the efficiency of biological nitrogen fixation (BNF) is essential to ensure sustainability, which can be achieved through nutritional management. Fertilization with nickel (Ni) can positively affect BNF due to the role of this micronutrient in nitrogen (N) metabolism – urease and NiFe-hydrogenase. However, studies on Ni application methods are incipient. Our study aimed to investigate which Ni application method is most appropriate to promote soybean plant development, with an emphasis on BNF and N metabolism.
Methods
The isolated and combined effects of Ni application methods – seed treatment, leaf spraying and/or soil fertilization – were investigated in soybean plants grown under different edaphoclimatic conditions (field and greenhouse).
Results
Positive effects of the treatments Soil, Soil + Leaf and Seed + Leaf were observed, with gains of 7 to 20% in BNF, 1.5-fold in ureide, 14% in shoot dry weight and yield increases of up to 1,161 kg ha− 1. All Ni application methods increased the SPAD index, photosynthesis, nitrogenase and urease activity. The edaphoclimatic conditions, especially the soil classes, influenced the response of soybean to the Ni application methods.
Conclusion
The integrated Ni application methods, i.e., leaf spraying combined with soil or seed fertilization, as well as soil application alone, were more suitable to promote productivity in soybean cropping systems. The definition of the method is essential to ensure absorption and ideal use of this micronutrient, representing a viable and sustainable management technology. More studies are needed to elucidate an official recommendation for Ni in agriculture.
Risk and protective factors for health behaviour in adolescence in Europe
Authors: Zsakai Annamaria , Ratz-Sulyok Fanny Zselyke , Koronczai Beatrix , Varro Petra , Toth Erika , Szarvas Szilvia , Tauber Tamas , Karkus Zsolt , Molnar Kinga
Published: July 2023

The purpose of the analysis was to identify the risk and protective factors for health behaviour in European adolescents from population health status and expenditure, mental health status, sexual life, social life and education indices and the existence of national strategies, programmes.
National and international databases providing information on the presumed health behaviour predictors were used in the analysis. Furthermore, the age and sexual differences in the main information sources on health issues, sexual life, health-risk behaviour, digital awareness, environmental awareness accessed by Hungarian adolescents were analysed.
The existence of national health strategies, the level of health expenditure, the socioeconomic conditions, the level of education and literacy had significant influence on the health-risk behaviour of adolescents in the European societies. Hungarian children in early adolescence sought information from family members and experts more frequently, while children preferred to get information from their friends and from the media in middle-adolescence. Sexual dimorphism also appeared in their preferred information sources, a bigger proportion of boys chose media as information source than girls. A significantly smaller proportion of adolescents sought information from the studied sources of sexual life topics than in the other health issues.
Individual health decisions of adolescents are influenced by their interaction with family members and experts in early adolescence, and with a bigger influence of friends and media in middle-adolescence. National health strategies combined with governmental support for health prevention and action plans have the most effective impact on the health-risk behaviour of adolescents.
High-Throughput Digital Imaging Analysis Of Historical Wheat Cultivars From Pakistan
Authors: Tahir Tehreem , Rasheed Awais , Kayani Sadaf , Shahzad Asim
Published: July 2023

Wheat is the most significant cultivated crop in Pakistan, ranking first in terms of acreage and production among all cereals. Wheat grain morphology has been harvested and manipulated since the dawn of agriculture, and it remains a major breeding focus today. To establish, genetic basis of phenotypic variation in wheat grain morphology, the current research was conducted to develop a phenotyping method based on digital imaging to capture the grain morphology in bread wheat cultivars of Pakistan and to characterize variation in grain morphology in Pakistani wheat cultivars and their association with TaCWi genes. In this research 64 wheat cultivars were analysed by digital imaging approach. The images were captured using a flatbed scanner with a transparency adapter, and the imaging software image J 1.27 was used for analysis. The cultivars used in this study showed larger variation in grain morphology in more than fifteen descriptors. Measured dimensions included grain area, perimeters, height, width, circularity and solidity. Minimum grain area was showed by the T9 and maximum grain area was shown by the Pirsabak-2013, minimum grain perimeter was showed by the T9 and maximum grain perimeter was showed by the Barsat. Similarly, maximum grain area was exhibited by the Markaz-2019 and minimum grain area was shown by the C-271. Maximum grain perimeter was showed by the PARI-73 and minimum grain perimeter was showed by the C-271 respectively, under well-watered (WW) conditions. The coefficient of determination was also higher indicating the reliability and consistency of digital imaging method. Digital imaging allowed many aspects of development, functions, traits and health to be monitored and traced in ways previously unattainable. Our results are encouraging that large image data sets of grains can be processed by high throughput and accurate manner.
Neutron Reflectometry under High Shear in Narrow Gap for Tribology Study
Authors: Yamashita Naoki , Hirayama Tomoko , Hino Masahiro , Yamada Norifumi L.
Published: July 2023

A parallel-face narrow gap viscometer was installed in the energy-resolved neutron reflectometer to investigate the change in interfacial structure under high shear. The viscometer was designed to operate with high shear rate while maintaining a µm-order constant gap between two parallel faces. When the base oil without any additives was sandwiched in the gap of viscometer, the neutron reflectivity profiles without and with the rotation of viscometer was the same. This result shows that correct measurements were performed regardless of whether the upper specimen was rotated or not. On the other hand, when the base oil containing polymethacrylate-type additive was sandwiched in the gap, both the thickness and density of adsorbed additive layer in shear field became lower than that in stay condition. The results demonstrate that the proposed method can be used to analyse the structural changes in the adsorbed layer formed by the additive on the surface. Such approaches with the combination of neutron reflectometer and narrow gap viscometer are promising for near-future tribology studies.
People of Clay and Stone: Indexing Other-than-human Animacy and Collective Identity in Coastal Oaxaca, Mexico
Authors: Brzezinski Jeffrey
Published: July 2023

This paper analyzes the unique assemblages of humans and other-than-humans animated the sacred landscape of Cerro de la Virgen, a hilltop site occupied during the Formative period (1800 BCE – 250 CE) in the lower Río Verde Valley of coastal Oaxaca, Mexico. Commensalism in the region increased markedly in scope and complexity throughout the Formative period, culminating in the region’s first polity at 100 CE. Feasting practices became relatively standardized, but the placement of objects and bodies in public architecture—a set of collective practices associated with the vital forces that animated the cosmos—varied considerably from site to site during the late Terminal Formative period (150 BC—250 CE). Lower Verde scholars have argued that these idiosyncrasies reflect the myriad collective identities of the region’s hinterland communities—a pattern rooted in local affiliations that may have conflicted with an expanding regional identity centered at the urban center of Río Viejo. I augment this discussion by highlighting the role that the materiality of the landscape, present before humans even occupied the region, played in the construction of collective identity. I develop an interpretive approach that pays special attention to Indigenous concepts of ontology, particularly those related to animacy and its transference, and utilizes the semiosis of American philosopher, Charles Sanders Peirce, to elucidate meaning from deposits of cached objects. I argue that animate qualities assembled through fired clay and chiseled stone at Cerro de la Virgen afforded a ritual pattern that was unique in coastal Oaxaca at the end of the Formative.
Time-series analysis of transcriptomic changes due to permethrin exposure: Aedes aegypti undergoes detoxification metabolism over 24 hours
Authors: Mack Lindsey K. , Attardo Geoffrey M.
Published: July 2023

Insecticide resistance is a multifaceted response and an issue across taxa. Aedes aegypti, the mosquito that vectors Zika, dengue, chikungunya, and yellow fever, demonstrates high levels of pyrethroid resistance across the globe, presenting a challenge to public health officials. To examine the transcriptomic shifts across time after exposure to permethrin, a 3’tag-seq analysis was employed on samples 6, 10, and 24 hours after exposure along with controls. Differential expression analysis revealed significant shifts in detoxifying enzymes and various energy-producing metabolic processes. Among the upregulated detoxifying enzymes are cytochrome P450s, glutathione s-transferases and peroxidases, and ATP-binding cassette transporters. Additionally, eight heat shock genes or genes with heat shock domains exhibit the highest degree of fold change across time. Twenty-four hours after exposure, samples indicate a global downregulation of these processes, though principal component analysis suggests lasting signatures of the response. Understanding the recovery response to insecticide exposure provides information on possible new genetic and synergist targets to explore.
Establishment and Application of a Multiplex PCR Method for the Simultaneous Detection of PRV, PCV2, PRRSV, CSFV, and SIV Associated with Porcine Respiratory Disease
Authors: Mao Yinming , Tang Deyuan , Zeng Zhiyong , Wang Bin , Huang Tao
Published: July 2023

Based on gene sequences in GenBank, five pairs of specific primers were designed to PCR amplify partial fragments of the genes encoding Pseudorabies virus (PRV) gB, Porcine circovirus type 2 (PCV2) ORF2, Porcine reproductive and respiratory syndrome virus(PRRSV) ORF6, Classical swine fever virus (CSFV) C, and Swine influenza virus (SIV) M. The fragments amplified were 192 bp (PRV), 255 bp (PCV2), 364 bp (PRRSV), 530 bp (CSFV), and 981bp (SIV). The results of sensitivity and specificity tests showed that the minimum amounts of nucleic acid required for the mPCR were 18 pg (PRV), 22 pg (PCV2), 26 pg (PRRSV), 48 pg (CSFV), and 32 pg (SIV). The amplification results for Porcine parvovirus and Porcine epidemic diarrhea virus were both negative. The results for 48 clinical samples collected in Guizhou Province revealed that the five viruses are common on pig farms in Guizhou Province, with an incidence rate of 54%, and often as mixed infection. This five-plex PCR method can rapidly detect and differentiate these five viruses.
Can mobilising specialists be relieved by a robotic system for the early mobilisation of intensive-care patients? A quantitative longitudinal study at three data collection points at a German university hospital
Authors: Mehler-Klamt Amrei , Koestler Natascha , Huber Jana , Warmbein Angelika , Rathgeber Ivanka , Gutmann Marcus , Biebl Johanna Theresia , Hübner Lucas , Schroeder Ines , Scharf Christina , Ohneberg Christoph , Kraft Eduard , Zoller Michael , Fischer Uli , Eberl Inge
Published: July 2023

Background:
Immobility in intensive-care patients can lead to significant health risks and costs for the health system. Reasons for this include the shortage of specialist staff from nursing and physiotherapy who usually take over mobilisation activities for intensive-care patients. Use of robotic systems is to facilitate early mobilisation and thus counteract too-long immobility. Whether this can also relieve staff has not yet been sufficiently investigated.
Methods:
To investigate the psychological stress and behaviour of mobilising specialist during conventional and robot-assisted mobilisations of intensive-care patients and to draw conclusions regarding the burden and relief for the mobilising staff caused by the robotic system, a quantitative longitudinal study was conducted with three data collection points (T1, T2, T3). Aspects of body postures, stress perception of mobilising staff as well as the time and personnel mobilisation effort were collected in non-participatory standardised observations. Descriptive statistics were used for data analysis of the observations of 35 conventional mobilisations (T1), 55 robot-assisted mobilisations (T2) by non-routine users, and 9 robot-assisted mobilisations by routine users (T3).
Results:
The duration of robot-assisted mobilisation had significantly longer process times in preparation, follow-up and execution phases than conventional mobilisation (median of total duration: T1: 16 minutes, T2/3: 46 minutes).
Trial registration:
clinicaltrials.org TRN: NCT05071248, Date: 2021/10/21 URL https://clinicaltrials.gov/ct2/show/NCT05071248
A Universal Parallel Simulation Framework for Energy Pipeline Networks on High-performance Computers
Authors: Han Pu , Hua Haobo , Wang Hai , Xue Fei , Wu Changmao , Shang Jiandong
Published: July 2023

Energy distribution networks represent crucial infrastructures for modern society, and various simulation tools have been widely used by energy suppliers to manage these intricate networks. However, simulation calculations include a large number of fluid control equations, and computational overhead limits the performance of simulation software. This paper proposes a universal parallel simulation framework for energy pipeline networks that takes advantages of data parallelism and computational independence between network elements. A non-pipe model of an energy supply network is optimized, and the input and output of the network model in the proposed framework are modified, which can reduce the development burden during the numerical computations of the pipeline network and weaken the computational correlation between different simulated components. In addition, independent computations can be performed concurrently through periodic data exchange procedures between component instances, improving the parallelism and efficiency of simulation computations. Further, a parallel water pipelines network simulation computing paradigm based on a heterogeneous computer hardware architecture is used to evaluate the proposed framework’s performance. A series of tests are conducted to verify the accuracy of the proposed framework, and simulation errors of less than 5% are achieved. The results of multi-threaded simulation experiments have demonstrated the feasibility of the proposed framework in a parallel computing approach. Moreover, an Advanced Micro Devices (AMD) Deep Computing Unit (DCU)-parallel program is implemented into a water supply network simulation system; the computational efficiency of this system is compared with that of its serial counterpart. The experimental results show that the proposed framework is appropriate for high-performance computer architectures, and the 18x speed-up ratio demonstrates that the parallel program based on the proposed universal framework outperforms the serial program. That provides the basis for the application of pipe network simulation on high performance computers.
Relationship Between Nonperfusion Area from Widefield Optical Coherence Tomography Angiography and Macular Vascular Parameters in Diabetic Retinopathy
Authors: Konno Ami , Ishibazawa Akihiro , Pretto Lucas , Shimouchi Akito , Omae Tsuneaki , Song Young-Seok
Published: July 2023

Purpose
To evaluate the relationship between the nonperfusion area (NPA) from wide optical coherence tomography angiography (OCTA) and macular vascular parameters in diabetic retinopathy (DR).
Methods
In total, 51 eyes from 51 patients with proliferative DR (PDR) or moderate/severe non-PDR were included. Widefield OCTA using the Zeiss Plex Elite 9000 was performed. A semi-automatic algorithm calculated the percentages of the NPA within the total image. Macular OCTA (3 × 3 mm and 6 × 6 mm area) was scanned using the RTVue-XR avanti. Vessel density (VD) was automatically separated into the superficial (SCP) and deep capillary plexus (DCP), and foveal avascular zone (FAZ) measurements were computed according to the parafoveal (1–3 mm) and perifoveal (3–6 mm) regions.
Results
A negative correlation was found between the average VD of the SCP and DCP obtained 3 × 3 mm and 6 × 6 mm area and the NPA. Multiple regression analysis revealed that the temporal–perifoveal region most negatively correlated with the NPA (r = − 0.55, p < 0.0001). No correlation was found between FAZ measurements and DR severity (area, p = 0.07; perimeter, p = 0.13).
Conclusion
Diabetic macular nonperfusion was significantly associated with the NPA from widefield OCTA. In particular, the temporal–perifoveal DCP disorder may be a sensitive indicator of wide NPA.
Nullspaces yield new explicit Runge--Kutta pairs
Authors: VERNER JAMES HAMILTON
Published: July 2023

Sixty years ago Butcher [1] characterized a natural tabulation of the or-
der conditions for Runge{Kutta methods as an isomorphism from the set
of rooted trees having up to p nodes, and provided examples of explicit
and implicit methods of several orders. Within a few years. Fehlberg
[3] derived pairs of explicit methods of successive orders that could be
implemented eciently by using the dierence of each pair of estimates
to control the local error. Unfortunately, Fehlberg's pairs were decient
for quadrature problems. Subsequently, this author [5],[6] derived para-
metric families of explicit Runge{Kutta pairs of increasing orders 6 to 9
that avoided this problem altogether. These, and most known explicit
methods, have been derived by exploiting certain 'simplifying conditions'
suggested by Butcher [1] that imposed constraints on subsets of the co-
ecients, and thereby simplied the solution of the order conditions for
moderate to high order methods.
'Test 21', a MAPLE program developed recently by Butcher [2], was
applied to derive known 13-stage pairs of orders 7 and 8. Unexpectedly,
results of this application revealed the existence of some previously un-
known methods - ie. some that satised most, but not all, of the previously
known simplifying conditions. This present study develops formulas for
directly computing exact coecients of these new pairs together with oth-
ers lying within this new parametric family of (13,7-8) pairs. While the
best of these new pairs falls short of the best of pairs already known, the
properties discovered might be utilized to precisely characterize recently
reported higher order methods found using other approaches by Khashin
[4] and Zhang[7], and possibly lead to nding other Runge{Kutta and
related yet unknown methods.
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity
Authors: Wu First Jianqiu , Chen Second Hongyang , Cheng Third Minhao , Xiong Fourth Haoyi
Published: July 2023

Accurately predicting the binding affinity between proteins and ligands is crucial for drug discovery. Recent advances in graph neural networks (GNNs) have made significant progress in learning representations of protein-ligand complexes to estimate binding affinities. To improve the performance of GNNs, there frequently needs to look into protein-ligand complexes from geometric perspectives. While the "off-the-shelf" GNNs could incorporate some basic geometric structures of molecules, such as distances and angles, through modeling the complexes as homophilic graphs, these solutions seldom take into account the higher-level geometric attributes like curvatures and homology, and also heterophilic interactions.To address these limitations, we introduce the Curvature-based Adaptive Graph Neural Network (CurvAGN). This GNN comprises two components: a curvature block and an adaptive attention guided neural block (AGN). The curvature block encodes multiscale curvature informaton, then the AGN, based on an adaptive graph attention mechanism, incorporates geometry structure including angle, distance, and multiscale curvature, long-range molecular interactions, and heterophily of the graph into the protein-ligand complex representation. We demonstrate the superiority of our proposed model through experiments conducted on the PDBbind-V2016 core dataset.
Predicting mechanoregulatory responses in bone during breast cancer metastasis: A Finite Element Analysis
Authors: Verbruggen Anneke S.K. , McCarthy Elan C. , Dwyer Roisin M. , McNamara Laoise M.
Published: July 2023

Breast cancer metastasises to bone in 70–80% of patients with advanced disease. Bone cells contribute to tumour metastasis by activating bone resorption, which releases biochemical factors that stimulate tumour cell proliferation. The local mechanical environment of bone tissue is altered during early metastasis, prior to the formation of overt osteolytic metastasis. According to mechanoregulation theory, these changes might activate mechanobiological responses in bone cells and thereby contribute to osteolytic resorption. However, whether mechanobiological responses of bone cells drive osteolysis during metastasis is unknown. The objective of this study was to apply a computational mechanoregulation framework to predict how early changes in the bone mechanical environment contribute to osteolysis. Subject-specific finite element (FE) models were developed to predict the mechanical environment within bone tissue during early stage metastasis (3 weeks post-inoculation). We then applied a mechanoregulation algorithm to predict changes in bone tissue density as a function of the evolving mechanical environment due to tumour invasion. Substantial bone loss was predicted in the greater trochanter region, which coincides with experimental reports of regional bone loss in this animal model. Moreover, application of the mechanoregulation algorithm predicted that the mechanical environment evolved in a similar manner to that predicted through subject-specific finite element (FE) models. This is the first study to implement a computational mechanoregulation framework to predict the development of osteolysis. Our findings support the hypothesis that early changes in the physical environment of bone tissue during metastasis may elicit mechanobiological cues for bone cells and activate osteolytic destruction.
Message-In-A-Bottle: Engaging Stories Around Sustainable and Safe Wine Products
Authors: Papadakos Panagiotis , Chrysakis Ioannis , Patkos Theodore , Flouris Giorgos , Samaritakis Giorgos , Angelakis Dimitris , Basina Nena , Tsampanaki Nikoleta , Pratikaki Ariadne , Baritakis Pavlos , Loulakakis Ilias , Gouma Maria , Kioupakis Akis , Apostolidi Christina , Lyrarakis Bart
Published: July 2023

The wine industry has evolved thanks to the introduction of digital technologies in every aspect of the wine production chain and the emerging need of the food industry for qualitative, sustainable, and safe products. As a result, the incorporation of digital services that facilitate access to related data of wine products is crucial for wine enterprises to increase their competitiveness, customer loyalty, and market share in this highly competitive domain. In this work, we present the Message-in-a-Bottle(MiB) ecosystem, which exploits multi-dimensional and multi-sourced data for creating engaging and interactive stories around wine labels. We especially focus on the sustainability and safety issues in the wine industry and showcase how MiB addresses them. The ecosystem is developed in the context of the MiB project∗ and has already started to be available in the market through the Lyrarakis† wine enterprise.
Harnessing the Power of Hugging Face Transformers for Predicting Mental Health Disorders in Social Networks
Authors: Pourkeyvan Alireza , Safa Ramin , Sorourkhah Ali
Published: July 2023

Early diagnosis of mental disorders and intervention can facilitate the prevention of severe injuries and the improvement of treatment results. Using social media and pre-trained language models, this study explores how user-generated data can be used to predict mental disorder symptoms. Our study compares four different BERT models of Hugging Face with standard machine learning techniques used in automatic depression diagnosis in recent literature. The results show that new models outperform the previous approach with an accuracy rate of up to 97%. Analyzing the results while complementing past findings, we find that even tiny amounts of data (Like users’ bio descriptions) have the potential to predict mental disorders. We conclude that social media data is an excellent source of mental health screening, and pre-trained models can effectively automate this critical task.
Tailor-made Tenorite (CuO) Interface Films for Enhanced Photocatalysis: An Improved Dip-Coating Approach with Enhanced Surface Topography and Hydrophobicity
Authors: Althamthami Mohammed , Hachmi Guettaf Temam EI , Temam Hachemi Ben , Hasan Gamil Gamal , Rahmane Saâd , Gasmi Brahim
Published: July 2023

Semiconductor films are essential in photocatalysis applications; however, the controlled production of certain films remains challenging and inefficient. Previous studies have mainly focused on deposition processes, heating rates, and doping of semiconductor oxides. In this paper, we propose a novel approach to fabricating tenorite (CuO) semiconductor films with varying concentrations (0.01, 0.02, 0.04, 0.06, and 0.1 g/ml) using a dip-coating technique. We investigate the effects of contact angles, 3D surface topography, and film thickness on the photoactivation properties, as these factors have received limited attention in previous research. The results demonstrate that higher-concentration tenorite films exhibit rougher surfaces, increased hydrophobicity, improved light-harvesting ability, enhanced charge separation, and higher active oxygen output. This approach has significant implications for tenorite film manufacturing and the efficient photocatalytic removal of organic contaminants with minimal environmental impact. Our study examines concentration variation in tenorite thin films produced through sol-gel processes and dip-coating. Wettability tests show a 21.47% improvement in the 0.1 g/ml film surface under indirect sunlight compared to darkness. Surface morphology analysis reveals an increased presence of grains with higher concentrations. Transmittance rates at 600 nm range from 0.02–90.94%. The direct optical bandgaps range from 2.74 to 1.21 eV, while the indirect bandgaps remain unaffected. The photocatalytic efficiency against dyes (MB) was affected by the concentration, crystal phase, size, thickness, wettability, surface roughness, and direct band-gap. These tenorite thin films demonstrate exceptional photocatalytic properties, being highly efficient, environmentally friendly, reusable, and stable, making them suitable for practical applications.
CPSF6 promotes the Warburg effect and angiogenesis leading to tumor progression via c-Myc/ FBW7/ VEGF/ PD-L1 signaling axis with its siRNA synergistic potential with Sorafenib as a therapeutic target for liver cancer therapy.
Authors: Sim Deok Yong , Lee Hyo–Jung , Ahn Chi-Hoon , Park JiEon , Park Su-Yeon , Shim Bum-Sang , Kim Bonglee , Kim Sung-Hoon
Published: July 2023

Background
Though CPSF6 was known to act as an oncoprotein via glycolysis in several cancers, the oncogenic mechanism of CPSF6 was not explored in association with the Warburg effect and angiogenesis in hepatocellular carcinoma (HCC) to date.
Methods
MTT assay, colony formation assay, cell cycle analysis and microarray were conducted in CPSF6 depleted HCC cells. Expression of CPSF6 was evaluated in HCC tissues, cell lines and by The Cancer Genome Atlas (TCGA) analysis, while molecular mechanism of CPSF6 was assessed by Western blotting, Immunofluorescence and Immunoprecipitation. The growth of Hep3B cells was monitored in BALB/c orthotopic and xenograft tumor models with Immunohistochemistry analysis. Also, tube formation assay, CAM assay and ELISA were performed for angiogenesis by CPSF6.
Results
CPSF6 was overexpressed in HCC tissues with poor survival rates compared to normal tissues. Hence, CPSF6 depletion suppressed the viability and colonies, induced apoptosis via PARP cleavages and increased sub-G1 population in Hep3B and Huh7 cells. Also, CPSF6 enhanced the stability of c-Myc via their binding through nuclear colocalization as an upstream of c-Myc, mainly in nucleoplasm. Furthermore, CPSF6 depletion activated phosphorylation of c-Myc (T58) for c-Myc degradation and inactivated c-Myc (S62), which was disturbed by FBW7 depletion or proteosomal inhibitor MG132. Additionally, CPSF6 depletion suppressed the Warburg effect by inhibition of glucose, HK2, PKM2, LDH and lactate, showed synergistic effect with Sorafenib in Hep3B cells and also inhibited angiogenesis by tube formation and CAM assays along with decreased expression and production of VEGF. Notably, CPSF6 depletion attenuated PD-L1 along with the increase of CD4/CD8 cell percentage in the splenocytes of BALB/c nude mice bearing Hep3B cells. Consistently, CPSF6 depletion reduced the growth of Hep3B cells in BALB/c mice in orthotopic and xenograft tumor models with inhibition of tumor microenvironment associated proteins by immunohistochemistry.
Conclusions
These findings suggest that CPSF6 enhances the Warburg effect for immune escape and angiogenesis, leading to cancer progression via c-Myc/ FBW-7/ VEGF/PD-L1 signaling axis with its siRNA synergistic effect with Sorafenib as a molecular target of liver cancer therapy.
Trial registration: retrospectively registered
the Properties and Fabrication of Al 2 O 3 Porous Ceramics by Protein Foaming Method
Authors: Li Xinyue , Jiao Hua , Zhao Kang
Published: July 2023

In this paper, Al2O3 porous ceramics were designed and fabricated by egg albumen foaming method, in which the egg albumen was selected as a green binder and foaming agent. The effect of sucrose on the stabilization of egg albumen foam was studied, and the sintering system was determined according to the incineration of proteins during the sintering process, and finally the preparation process of porous ceramics was optimized. Al2O3 ceramic with a porosity of up to 82% and a compressive strength of up to 30 MPa has been successfully fabricated.
TKMBR: Temporal Knowledge Graph-based Multi-Behavior Recommendation for E-commerce
Authors: Zhang Xiaoman , Cheng Yang , Bi Xuehua , Yu Guanglei , Cao Ruyi , Zhang Linlin
Published: July 2023

Striving to enhance predictive performance by leveraging auxiliary behaviors, multi-behavior recommendation models have emerged in the realm of e-commerce. These models aim to address the diversity and effectiveness of interactive behaviors. While some methods have shown promising effects, they still exhibit certain limitations, such as overlooking dynamic nature of user interactions. In this paper, we present TKMBR, a multi-behavior recommendation framework based on a temporal knowledge graph in e-commerce. TKMBR incorporates a temporal knowledge graph to capture the temporal dynamics of user behaviors, which allows for the identification of underlying temporal patterns and the capturing of evolving user preferences over time. To augment the understanding of user preferences, heterogeneous signals are integrated and an item-side information knowledge graph is constructed based on various user-item interactions. Moreover, contrastive learning tasks are employed to alleviate the issue of data sparsity. Finally, we evaluate the performance of our approach on two representative recommendation datasets using standard metrics with HR and NDCG. Experimental results demonstrate the effectiveness of TKMBR in improving recommendation quality.
Grey Wolf Optimizer based Resource Allocation and Optimization Algorithm in Cloud Computing Environment
Authors: Mandal Shrabanti
Published: July 2023

The Internet of Things (IoT) is a scattered structure where every item links with internet for communication. The IoT structure is composed by several resources and gateways or cluster heads. So in this environment, IoT resource allocation and scheduling task is a crucial challenge. The resource allocation and resource scheduling process are responsible to perform mapping between IoT resources and gateways and also deals with optimized resource allocation at gateways. In the real scenario, each gateway may face heavy traffics and that may create the overhead so allocatingand scheduling resources manually is not a feasible solution. Therefore, in this research work we introduce a hybrid approach to optimize the resources so that we can achieve the minimum transmission cost. The proposed approach is based on Grey Wolf Optimizer (GWO) algorithm. The GWO has been designed by motivation from the civic activity specially searching and hunting prey of grey wolves. The introduced hybrid GWO has been tested on the several benchmark functions and got the satisfied result.
WITHDRAWN: Acoustically Levitated Fuel Droplet Evaporation at High Temperatures: An Experimental Investigation
Authors: Pang Bin , Yang Guangcan , Liu Xiaoxin , Huang Yu , Li Wanli , He Yongqing , Shi Zhongyuan , Yang Zhaochu , Dong Tao
Published: July 2023

Fuel droplet evaporation characteristics are critical for fuel engine efficiency, energy conservation, and emission reduction. This paper presents experimental studies on fuel droplet evaporation with ultrasonic standing wave levitation and high-speed camera to explore the influences of temperatures and droplet properties, including the initial diameter and droplet component. The evaporation of fuel droplets such as hexadecane and diesel are recorded over a temperature range of 150°C to 550°C, with an initial droplet equivalent diameter of 0.10–0.30 mm. Evaporation rate is positively correlated with temperature and may vary by 15–71% between hexadecane and diesel droplets.
Intensive antibiotic treatment of sows with parenteral crystalline ceftiofur and tulathromycin alters the composition of the nasal microbiota of their offspring
Authors: Bonillo-Lopez Laura , Obregon-Gutierrez Pau , Huerta Eva , Correa-Fiz Florencia , Sibila Marina , Aragon Virginia
Published: July 2023

Nasal microbiota plays an important role in animal health and the use of antibiotics is one of the major factors that influence its composition. Here, we study the consequences on piglets’ nasal microbiota when an intensive antibiotic treatment was applied to sows and/or their piglets. Four pregnant sows received a treatment of ceftiofur and tulathromycin (CTsows) while two other sows received only crystalline ceftiofur (Csows). Sow treatments were performed at D-4, D3 and D10 for ceftiofur and D-3, D4 and D11 for tulathromycin. Half of the piglets born to CTsows were treated at birth with ceftiofur. Nasal swabs were taken from piglets at 22-24 days of age and bacterial load and nasal microbiota composition were defined by 16s rRNA gene qPCR and amplicon sequencing. Antibiotic treatment of sows reduced their nasal bacterial load, as well as in their offspring, indicating a reduced bacterial transmission from the dams. In addition, nasal microbiota composition of the piglets exhibited signs of dysbiosis, showing unusual taxa. The addition of tulathromycin to the ceftiofur treatment seemed to enhance the effect on the microbiota diversity by diminishing some bacteria commonly found in the piglets’ nasal cavity, such as Glaesserella, Streptococcus, Prevotella, Staphylococcus and several members of the Ruminococcaceae and Lachnospiraceae families. The additional treatment of piglets with ceftiofur resulted in no further effect beyond the treatment of the sows. Altogether these results suggest that intensive antibiotic treatments in sows, especially the double antibiotic treatment, disrupt the nasal microbiota of their offspring and highlight the importance of sow-to-piglet microbiota transmission.