bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing the efficacy of breast adenocarcinoma tumor treatment using thalidomide and doxorubicin-containing nanomicelles under dual-frequency sonication
Authors: Goleh Zohreh , Mokhtari-Dizaji Manijhe , Toliyat Tayebeh
Published: October 2022

This study aimed to evaluate the effect of dual-frequency sonication in the presence of thalidomide angiogenesis inhibitor and nanomicelles containing doxorubicin on inhibiting the growth and angiogenesis of breast adenocarcinoma in BALB/c female mice. Sixty mice carrying the tumor were divided into 12 groups: (A) control, (B) 28 kHz and 3 MHz sonication, (C) thalidomide, (D) thalidomide and 28 kHz, (E) thalidomide and 3 MHz, (F) thalidomide and dual-frequency sonication, (G) doxorubicin, (H) nanomicelles containing doxorubicin, (I) nanomicelles containing doxorubicin and dual-frequency sonication, (J) thalidomide and doxorubicin, (K) thalidomide and nanomicelles containing doxorubicin, and (L) thalidomide and nanomicelles containing doxorubicin and dual-frequency sonication. The delay in the tumor growth and angiogenesis percent were extracted. Pathological and immunohistochemical studies were performed to confirm the treatment. The findings of tumor growth retardation parameters and animal survival were significantly different in group L from all groups (P < 0.05). The highest rate of inhibition was in group L with a 46% inhibition. In group L, 100% of the animals survived until day 49. In groups F, C, G, B, and A, all the animals survived 45, 42, 39, 32, and 30 days, respectively. Pathological results showed a decrease in tumor grade in groups K and L. Histopathological results demonstrate a decrease in group L angiogenesis compared to group C. These findings were consistent with the results of color Doppler ultrasound imaging. Dual-frequency sonication in the presence of thalidomide and doxorubicin-containing nanomicelles inhibits tumor growth and angiogenesis.
Axion-assisted Resonance Oscillation Rescues the Dodelson-Widrow Mechanism
Authors: Guo Shu-Yuan , Liu Xuewen , Zhu Bin
Published: October 2022

Note: Please see pdf for full abstract with equations.
The keV scale sterile neutrino was a qualified candidate for dark matter particles in the Dodelson-Widrow mechanism. But the mixing angle, needed to provide enough amount of dark matter, is in contradiction with the astrophysical observations. To alleviate such tension, we introduce an effective interaction, i.e. ga(φ/Λ)∂μaναγμ γ5να, among Standard Model neutrino να, axion a, and singlet φ. The axial-vector interaction form is determined by the axion shift symmetry, and the singlet φ with dynamically varied vacuum expectation value is introduced to reinforce the axial-vector coupling strength and evade the stringent neutrino oscillation constraints. The effective potential generated by the new interaction could cancel the SM counterpart, resulting in an enhanced converting probability between SM neutrino and sterile neutrino. Hence, the production rate of sterile neutrinos can be substantially enlarged with smaller mixing compared to the DW mechanism.
The stereoselective metabolic disruption of cypermethrin by a sub-acute study based on metabolomics
Authors: Gu Sijia , Zhang Quan , Gu Jinping , Wang Cui , Chu Mengjie , Li Jing , Mo Xunjie
Published: October 2022

Due to the massive application of cypermethrins (CYPs) for pest control in China, the adverse effects on non-target organisms have aroused great attention. However, comparative studies between its different stereoisomers remain scarce, especially for metabolism perturbations. Herein, the rats were administered α-CYP, β-CYP and θ-CYP by gavage at doses of 8.5, 29.2 and 25.0 mg/kg, respectively, for 28 consecutive days. By blood examination, significant changes in liver and renal function parameters were observed in rats exposed to all three CYPs. The stereoisomeric selectivity in metabolism was assessed based on a metabolomic strategy via principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA) and pathway analysis. The results demonstrated that amino acid and glycolipid metabolism were disrupted in all CYP groups. Among them, the most significant changes in the metabolic phenotype were observed in the θ-CYP group, with 56 differential metabolites enriched in 9 differential metabolic pathways. Perturbations in the alpha-linolenic acid metabolism associated with inflammation occurred only in the θ-CYP group of rats. At the same time, the endogenous metabolite trimethylamine oxide (TMAO), which is closely linked to the gut microbiota, was also significantly elevated in this group. Gender differences were evident in α- and θ-CYP-exposed rats, with perturbations in amino acid and glucose metabolism of greater concern in females and lipid metabolism of greater concern in males. Overall, β-CYP exhibited a lower risk of metabolic perturbations than α-CYP or θ-CYP, which helps to screen suitable agrochemical products for green agricultural development.
A method for identifying high-frequency steady-state visual evoked potential signals based on ensemble empirical mode decomposition
Authors: Hua jianning , Jiang Xu , Chen ziping , Wen zixiong
Published: October 2022

In brain-computer interface (BCI) systems, the accurate identification of steady-state visual evoked potentials (SSVEP) is crucial in fields such as biomedicine, and various artifacts affect the identification accuracy making the signals difficult to identify. To identify steady-state visual evoked potentials, analysis is generally performed in the frequency domain to characterize the periodicity of the signal, more specifically, spectral analysis is required to characterize the distribution of electroencephalogram (EEG) signal power along the frequency. The high-frequency SSVEP has advantages such as less ocular stimulation for the subject but is difficult to identify. A method based on ensemble empirical modal decomposition (EEMD) is proposed to address the difficulty of identifying high-frequency steady-state visual evoked potentials. Decompose the three-channel data of Oz, O1 and O2 obtained from the experiment, perform spectrum analysis on the intrinsic mode function obtained by the decomposition, and select some effective intrinsic mode functions according to the obtained spectrogram and recombine them into new signals to replace the original signal. The multivariate simultaneous exponential (MSI) algorithm combined with the ensemble empirical modal decomposition was used to classify the reconstituted obtained signals, and the EEMD-MSI algorithm obtained better results compared with the direct classification method using the MSI algorithm.The average accuracy of the EEMD-MSI algorithm was improved by 9.957% and 16.424% compared with the MSI algorithm under the 3s and 4s time windows, respectively, and the highest accuracy reached 74.97%, 92.12%, respectively.
A lipidome landscape of aging in mice
Authors: Tsugawa Hiroshi , Ishihara Tomoaki , Ogasa Kota , Iwanami Seigo , Hori Aya , Takahashi Mikiko , Yamada Yutaka , Minoda Aki , Arita Makoto
Published: October 2022

Understanding the molecular mechanisms associated with aging is important to improve the longevity of healthy individuals. Herein, we performed untargeted lipidomics to elucidate the relationship between aging and lipid metabolism in 13 mouse tissues at various life stages (2, 12, 19, and 24 months), in which sex and microbiome dependencies (specific pathogen free/germ free) were investigated. By analyzing 2,817 unique molecular profile data of 121 lipid subclasses, we characterized the common and tissue-specific lipidome changes associated with aging. For example, bis(monoacylglycerol)phosphate containing polyunsaturated fatty acids was enriched in various organs during aging, while other phospholipids containing saturated and monounsaturated fatty acids were decreased. In addition, we discovered an age-dependent increase of sulfonolipid (SL), which is biosynthesized in Alistipes and Odoribacter genera. SL molecules were absent in germ-free mice. Furthermore, the molecules appeared to be translocated from the intestinal lumen to various tissues such as the liver, kidney, and spleen. In the kidney, the associations of glycolipids such as galactosyl ceramides (GalCer), galabinosyl ceramides (Gal2Cer), trihexosyl ceramides (Hex3Cer), and mono and digalactosyl diacylglycerols were found in male mice, in which two lipid classes Gal2Cer and Hex3Cer were significantly enriched in aged mice. Integrated analysis of the kidney transcriptome revealed uridine diphosphate galactosyltransferase UGT8a, alkylglycerone phosphate synthase, and fatty acyl-CoA reductase 1 as potential enzymes responsible for male-specific glycolipid biosynthesis in vivo, which would be relevant to sex dependency in kidney diseases. Our lipidome results will become an important resource, led to the understanding of the molecular mechanisms underlying cellular senescence and age-related diseases.
Unraveling the biological potential of chicken viscera proteins: a study based on their enzymatic hydrolysis to obtain antioxidant peptides
Authors: Amaral Yuri M. S. , De Castro Ruann Janser Soares
Published: October 2022

The production of chicken meat has been growing over the years, with a proportional increase in waste generation. Since it is a residue rich in protein, hydrolysis through proteases can provide technological and biological improvements in this substrate offering new opportunities for exploration by the industries. Therefore, this work aimed to study the enzymatic hydrolysis of proteins from chicken viscera and to characterize the hydrolysates in terms of their antioxidant properties and molecular weight distribution. Additionally, hydrolysate production was scaled-up from 125 mL flasks with 50 mL of protein solution to 3 L using a 6 L bioreactor. The enzymatic hydrolysis of chicken viscera proteins using a binary mixture of proteases (Alcalase™ 2.4L and Flavourzyme™ 500L) resulted in an increase of up to 245% for ABTS, 353% for DPPH, 69% for FRAP and 145.95% for total reducing capacity (TRC). The antioxidant properties of the protein hydrolysates are preserved during the scale up of enzymatic hydrolysis. Protein fractions smaller than 5 kDa showed the highest ABTS and DPPH radical scavenging activities, while fractions with molecular weights greater than 30 kDa showed the best results for the FRAP method. Enzymatic hydrolysis proved to be an efficient strategy to add value to solid wastes from the poultry industry.
Evaluation of AI model for cephalometriclandmark classification (TG Dental)
Authors: Johannes Tanne , Akhilanand Chaurasia , Joachim Krois , Shankeeth Vinayahalingam , Anahita Haiat , Falk Schwendicke , Motamedian Saeed Reza , Mohammad Behnaz , Hossein Mohammad-Rahimi
Published: October 2022

Purpose: The accuracy of cephalometric landmark identification for malocclusion classification is essential for the diagnosis and treatment planning. The identification of these landmarks is often complex and time consuming for the orthodontists. An AI model for the classification was recently developed. Due to the strict regulation on software systems but few content on AI requirements in this publication the model was investigated under consideration of current regulatory considerations.
Methods: The AI platform of the ITU/WHO is used to allow the assessment of the models of the application. An Audit was performed assessing the development process with regard to medical device regulations, data protection regulation and ethical consideration. Upon that the major task during the development were evaluated such as qualification, annotation procedure and data set attributes.
Results: The AI models were investigated under consideration of technical, clinical, regulatory and ethical consideration. The risk to the health of the patient and user can be considered as low according to the IMDRF definition.
Conclusion: The application is useful to aid the decison and treatment planning for malocclusion classification on lateral cephalograms without cephalometric landmarks. It is comparable with common standards in orthodontic diagnosis.
Streptozotocin-Induced Alzheimer's disease Investigation by One-dimensional Plasmonic Grating Chip
Authors: Kadhim Hussam Jawad , Al-Mumen Haider , Nahi H. H. , Hamidi S. M.
Published: October 2022

Recently, there has been great interest in researching brain insulin resistance because it has been hypothesized that it may play a role in the progression of Alzheimer's disease. Alzheimer’s disease (AD) is brain dementia that contributes to damage to the neuron cells and then patient death. This dementia is ranked as the fifth more dangerous disease in the world. Streptozotocin (STZ) is used to induce Alzheimer’s disease experimentally. STZ is toxic to the pancreatic beta cells and induces insulin resistance. Neuroplasmonin techniques have been used to investigate the ability of STZ on the activity of the cultured neuron cells. Neuroplasmonic is a novel technology that combines nanotechnology and biosensor. This technique has been used to record neuron signals in vivo and in vitro. Also, it has many facilities such as label-free detection, real-time analysis, biological compatibility, small sample, high throughput, and low detection limit. In this paper, we introduce a one-dimensional electro-plasmonic nanograting platform that consists of a straight nanorod of gold embedded in a dielectric layer of polycarbonate. The chip is connected with an externally applied voltage to induce tunable PIT and increase the sensor sensitivity. To evaluate the sensing performance of the electro-plasmonic sensor, this chip was cultured with neuron cells extracted from rats. The first step was to measure the neuron cell activity in a healthy case. The next step was to measure the activity of neuron cells injected with different concentrations of STZ (0.5, 1, 2mM) to induce the formation of Alzheimer’s disease in the cultured neuron cells. The results indicated that the electro-plasmonics sensor had a high sensitivity to the cells' activity and showed good results for the effecting of STZ on the neuron cell’s activities.
Hexanucleotide repeat expansions in C9orf72 alter microglial responses and prevent a coordinated glial reaction in ALS
Authors: Masrori Pegah , Bijnens Baukje , Davie Kristofer , Poovathingal Suresh , Storm Annet , Hersmus Nicole , Fumagalli Laura , Bosch Ludo Van Den , Fiers Mark , Thal Dietmar , Mancuso Renzo , Damme Philip Van
Published: October 2022

Neuroinflammation is an important hallmark in amyotrophic lateral sclerosis (ALS). Experimental evidence has highlighted a role of microglia in the modulation of motor neuron degeneration. However, the exact contribution of microglia to both sporadic and genetic forms of ALS is still unclear. We generated single nuclei profiles of spinal cord and motor cortex from sporadic and C9orf72 ALS patients, as well as controls. We particularly focused on the transcriptomic responses of both microglia and astrocytes. We confirmed that C9orf72 is highly expressed in microglia and shows a diminished expression in carriers of the hexanucleotide repeat expansion (HRE). This resulted in an impaired response to disease, with specific deficits in phagocytic and lysosomal transcriptional pathways. Astrocytes also displayed a dysregulated response in C9orf72 ALS patients, remaining in a homeostatic state. This suggests that C9orf72 HRE alters a coordinated glial response, which ultimately would increase the risk for developing ALS. Our results indicate that C9orf72 HRE results in a selective microglial loss-of-function, likely impairing microglial-astrocyte communication and preventing a global glial response. This is relevant as it indicates that sporadic and familial forms of ALS may present a different cellular substrate, which is of great importance for patient stratification and treatment.
Hidden neuroaxial pathology is common in idiopathic scoliosis: original research
Authors: Sergeenko Olga , Savin Dmitry , Pozdeyeva Anna , Saifutdinov Marat , Molotkov Yuri , Diachkov Konstantin
Published: October 2022

Purpose
To study incidence of occult neuroaxial pathology (NAP) in patients with presumably idiophatic scoliosis in a largest spinal clinic in the Asian Part of Russia
Methods
We selected 401 patients who came to our clinic with presumably IS: we identified patterns of hidden neuraxial pathology (NAP) and its frequency. In addition to the main part of the study we assessed the reliability of MR-measuring of the pedicles to plan screw width and trajectory.
Results
Among 401 patients 53 (13%) found NAP: the proportion of males at this group was higher (42% vs 21%, p=0.004), the age of onset of the deformity was less (8.9±3.77 vs 9.9±3.93 years old, p=0.045), left-sided thoracic curve met more often (21% vs 8%, p=0.016), thoracic kyphosis was more pronounced (p=0.070) and the percentage of revision surgeries for deformity progression or non-fusion was higher (13% vs 5%, p=0.147).
Conclusions
MRI of the spine should be performed at the early stages of IS, since in some cases of NAP (Chiari, tethered spinal cord) there is the possibility of an early neurosurgical operation that will prevent the development of scoliosis. Main signs of hidden NAP in IS are: early onset IS, IS with left-sided thoracic curve, male gender and thoracic kyphosis > 40°Cobb.
High space-time bandwidth product imaging in low coherence quantitative phase microscopy
Authors: AHMAD AZEEM , GOCŁOWSKI PAWEŁ , DUBEY VISHESH , TRUSIAK MACIEJ , AHLUWALIA BALPREET S.
Published: October 2022

Current low coherence quantitative phase microscopy (LC-QPM) systems suffer from either reduced field of view (FoV) or reduced temporal resolution due to the short temporal coherence (TC) length of the light source. Here, we propose a hybrid, experimental and numerical approach to address this core problem associated with LC-QPM. We demonstrate high spatial resolution and high phase sensitivity in LC-QPM at high temporal resolution. High space-time bandwidth product is achieved by employing incoherent light source for sample illumination in QPM to increase the spatial resolution and single-shot Hilbert spiral transform (HST) based phase recovery algorithm to enhance the temporal resolution without sacrificing spatial resolution during the reconstruction steps. The high spatial phase sensitivity comes by default due to the use of incoherent light source in QPM which has low temporal coherence length and does not generate speckle noise and coherent noise. The spatial resolution obtained from HST is compared with temporal phase shifting (TPS) method on a test specimen and found to be in a good agreement with each other and better than single-shot Fourier transform (FT) based phase recovery method. Contrary to HST method, FT method requires high density fringes for lossless phase recovery, which is difficult to achieve in LC-QPM over entire FoV. Consequently, integration of HST algorithm with LC-QPM system makes an attractive route. Here, we demonstrate scalable FoV and resolution in single-shot LC-QPM and experimentally corroborate it on a test object and on both live and fixed biological specimen such as HeLa and U2OS cells. LC-QPM system with HST reconstruction offer high-speed single-shot QPM imaging at high phase sensitivity and high spatial resolution enabling us to study sub-cellular dynamic inside U2OS for extended duration (3 hours). The experimental results validate the effectiveness of the present approach and will open new avenues in the domain of biomedical imaging in future.
Addressing healthcare practitioner genetic knowledge, attitude and practices in Gauteng, South Africa – preparation for an educational intervention
Authors: Walters Sarah , Aldous Colleen , Malherbe Helen
Published: October 2022

Background
Genetic testing and services are becoming increasingly important in generalised healthcare. Genetic information is now used in the diagnosis and treatment of more common diseases and is no longer restricted to solely rare diseases. General practitioners and other primary healthcare practitioners are often the first port of call when a patient is seeking genetic information. However, many healthcare practitioners lack the appropriate knowledge and skills to assist patients with genetic-related health concerns.
To date, there is no data available on the extent of knowledge, attitudes and behaviours (practices) of healthcare practitioners in the Gauteng province of South Africa. This project aimed to investigate the knowledge, attitude and behaviours towards genetics and genetic testing in healthcare practitioners practising in primary healthcare in the Gauteng province of South Africa.
Methods
A pre-validated questionnaire was adapted and implemented for the local healthcare environment in the private healthcare sector in Gauteng, South Africa. The questionnaire, presented online and in-person, investigated genetic knowledge, behaviours and attitudes towards genetics and genetic testing.
Results
Sixty-one healthcare practitioners responded to the questionnaire, of which 95% were trained at South African medical schools. General practitioners, pathologists, physiotherapists and specialists answered six questionnaire sections. Self-reported genetics knowledge was poor/very poor for 70% of participants. Current genetics knowledge is insufficient to cope with the anticipated demand for genetic information in primary healthcare. Ninety-three percent of respondents displayed appropriate behaviour when faced with genetics scenarios and showed positive attitudes towards providing, and referring to, genetic services. However, access to specific genetic information and resources was limited. Eighty-seven percent of participants expressed an interest in further genetic education linked to continuing professional development points.
Conclusion
Healthcare practitioners are interested in and expressed positive behaviours and attitudes towards genetics and genetic services, but do not yet have sufficient knowledge to cope with the increasing demand for genetic services.
Dual Features Local-Global Attention Model with BERT
Authors: Li Jin , Xia Hongbin , Liu Yuan
Published: October 2022

Aspect-based sentiment analysis (ABSA) and Targeted ABSA (TABSA) allow finer-grained inferences about sentiment to be drawn from the same text, depending on context. For example, a given text can have different targets (e.g., neighborhoods) and different aspects (e.g., price or safety), with different sentiment associated with each target-aspect pair. In this paper, we propose a Dual Features Local-Global Attention model with BERT(DFLGA-BERT). Local and global feature extraction modules are designed to capture the semantic association between aspect words and context fully. The structure of conditional layer normalization (CLN) is used to better integrate local and global features between stages. An improved quasi-attention mechanism is used in DFLGA-BERT, which leads the model to use reduced attention in the fusion of attention to weakening. We experiment on the SentiHood and SemEval 2014 Task 4 datasets, show that the proposed model is significantly better than the current similar models in terms of indicators.
Highly Adaptive and Fast Tetrahedral Mesh Generator for Multi-Compartment Human Head Model with Deep Brain Structures with EEG Application
Authors: Prieto Fernando Galaz , Lahtinen Joonas , Yusuf Yusuf Oluwatoki , Rezaei Atena , Samavaki Maryam , Pursiainen Sampsa
Published: October 2022

Purpose: This paper introduces a highly adaptive and fast approach for generating a finite element (FE) discretization mesh for a given multi-compartment human head model obtained through a magnetic resonance imaging (MRI) dataset. The goal is to create accurate deep brain structures for electroencephalographic (EEG) source localization and applications.
Methods: We present a recursive application of solid angle labeling for surface segmentation with an adaptive scheme, i.e., a set of smoothing, inflation, and optimization tasks to enhance the mesh quality.
Results: The results indicate that our approach can produce a FE mesh with an accuracy greater than 1.0 millimeters, a significant milestone for 3D structure discretization and EEG source localization estimation.
Conclusions: Our method, implemented in the Matlab-based Zeffiro Interface, can manage the labeling aspect remarkably well to achieve human head FE meshes with complex deep brain structures using a time-effective parallel computing system.
Behavior-specific binary machine learning models: Bout length of behavioral elements as biologically relevant parameter improves machine learning accuracy in analysis of dog behavior sequences
Authors: Csizmadia Gábor , Daróczy Bálint , Ferdinandy Bence , Miklósi Ádám
Published: October 2022

Machine learning methods are frequently used to detect behavioral and ecological data patterns. Even though these new mathematical methods are useful tools, the results are often ambivalent if we do not utilize biologically relevant parameters in the analyses. In our experiment, we analyzed whether the bout length of behavior elements could be a relevant parameter to determine the window length used by the machine learning method. We defined eight behavior elements and collected motion data with a smartwatch attached to the dog’s collar. The behavior sequences of 56 freely moving dogs from various breeds were analyzed by deploying a specific software (SensDog). The behavior recognition was based on binary classification that was evaluated with a Light Gradient Boosted Machine (LGBM) learning algorithm, a boosted decision-tree-based method with a 3-fold cross-validation. We used the sliding window technique during the signal processing, and we aimed at finding the best window size for the analysis of each behavior element to achieve the most effective settings. Our results showed that in the case of all behavior elements the best recognition with the highest AUC values was achieved when the window size corresponded to the median bout length of that particular behavior. In summary, the most effective strategy to improve significantly the accuracy of the recognition of behavioral elements is using behavior-specific parameters in the binary classification models, choosing behavior-specific window sizes (even when using the same ML model) and synchronizing the bout length of the behavior element with the time window length.
Will standalone/collaborative anatomical research revolutionize clinical practice?
Authors: Singh Rajani , duparc Fabrice , Jones David Gareth , Gupta Kavita , Kumar Rahul
Published: October 2022

Purpose
The development of science and technology with changing life style has thrown many challenges to the medical education, besides, the complexity of human body and diseases. This, alarms the existing clinical practice to equip it with intensive integrated research in Anatomy to combat these threats and challenges. Therefore, this study is aimed at analyzing the of grey areas in clinical practice due to lack of research in Human Anatomy to improve safe and successful clinical practice.
Methods
A questionnaire, consisting of 15 questions, has been designed to seek the feedback from medical faculties to assess the degree of need of research in Anatomy to improve clinical practice. The scale for degree of need of research in Anatomy has been conceived such that if the responses of subjects fall in the range 9 to 15, it is most essential, if the responses lie within 7–8, it is essential and if answers fall in the range of 1–6 it is not essential. The means and percentages of viewpoints have been computed.
Results
The statistical mean analysis of feedback survey reveals that anatomical standalone/collaborative research is most essential. However, percentage analysis of individual subjects reveals that total population in the range of 67%-100% advocate anatomical research to be most essential, 0%-33% plead for essential and none of the subjects expressed their viewpoints for research to be not essential.
Conclusion
Statistical analysis of feedback and review of literature reveal integrated standalone/synergistic anatomical research is most essential to improve clinical practice.
Progressive and asymmetric active and passive mechanisms of shallow tunnels under the effect of seismic forces
Authors: Wang Zhuhong , Xu Baiyang , Zhang Sheng
Published: October 2022

To investigate the effect of the seismic force on asymmetric failure mechanisms of shallow tunnels, progressive and asymmetric active and passive failure mechanisms of shallow tunnels were discussed in this paper. In each of these failure mechanisms, the lower stratum was inclined, and there were four different detaching curves. Based on the nonlinear yield criterion and the upper bound theorem of limit analysis, the expressions of detaching curves for describing the active and passive failure mechanisms of shallow circular tunnels were first derived by the variational method. Then the equations for calculating the range and weight of the failure blocks were obtained. After sensitivity analysis of parameters, the range and weight of the failure blocks under different parameters were computed. According to the results of this study, the rock stratum inclination has a decisive effect on the symmetry of both active and passive failure mechanisms of shallow circular tunnels. Besides, the seismic force is an important factor affecting the stability of the tunnel roof.
A Machine Learning Approach for Advisors to Discover in Higher Education
Authors: Ahmed Areeba , Rehman Saif ur
Published: October 2022

In higher education, an institute thesis is under the supervision of a scholar with a comparable research interest. An appropriate match has to be made between the topics of scholars and the area of scholar expertise and skills. The determination of the final thesis supervisor is an important factor in the work of the scholar thesis. A system is needed for the information of the scholar and scholar matching for the determination of the supervisors. As currently, the HEC supervisor directory is there, but it is not up to date. There are a lot of supervisor recommendation systems like the cosine similarity technique uses keywords from a text as a metric to calculate the similarity of two scholars in different categories and many others. But theses recommendation system is working on the parameter of supervisor personality matching, criteria and sub-criteria of advisor system and some other demission’s relevance, connectedness, and quality. But, they do not focus on the similarity matching of their area of interest, w.r.t their publications and citations. Thus, a system is needed for the recommendation of the supervisor matching the relevancy according to their domain area, number of citations and publications. This paper explores a system of “SRAF” that assists scholars in finding the best-matched scholar. This proposed framework is different from the existing models because the dataset implemented has some additional features through which it matches the appropriate supervisor like number of area of specializations, publications, and citations. The framework matches the area of interest recommended w.r.t supervisors’ publications and citations to find the best supervisors according to the scholars’ research topic. The success of scholar research not only determined by the supervisor chosen but is also greatly influenced by the performance of the scholar and intellect, aspects which in turn affect higher education.
Thermal activation and structural succession of coal gangue in southern Sichuan, China
Authors: Zhou Jianmin , Hu Yingru , Chen Dexue , Bai Xueli , Ma Yuting , Fu Yongsheng
Published: October 2022

Coal gangue is rich in kaolin clay minerals, which can be used as raw materials for the preparation of adsorbents and intermediates of adsorbents, and is important for the high added value utilization of coal gangue. In this study, coal gangue from southern Sichuan, China, was activated and characterized by calcination at 100~900 °C, and the succession laws of the phase, microstructure and physical properties under thermal activation conditions were studied. Results showed that the content of active hydroxyl groups in the thermally activated coal gangue was the highest, and the chemical reaction activity was highest at 800 °C for 2 h. The pore structure of thermally activated coal gangue is primarily mesoporous, which nearly disappears at 900 ℃. The specific surface area of thermally activated coal gangue is highest at 600 ℃ and lowest at 900 ℃. The results of this study provide a reference for the preparation of adsorbents and adsorbent intermediates from coal gangue.
Interleukin-17 and tumor necrosis factor show a functional hierarchy to regulate the production of matrix metalloproteases by monocytes from patients with psoriasis
Authors: Springall Rashidi , Ortega-Springall Maria Fernanda , Guerrero-Ponce Ana Elena , Vega-Memije María Elisa , Amezcua-Guerra Luis M
Published: October 2022

Interleukin-17 (IL-17) and tumor necrosis factor (TNF) regulate the remodeling of the extracellular matrix by endopeptidases. However, it is not yet clear whether these cytokines have a functional hierarchy. This study aimed to assess whether IL-17 and TNF are hierarchically structured in psoriasis. Monocytes from 60 patients with plaque psoriasis and 60 non-psoriatic controls were stimulated in vitro with IL-17 or TNF, and the production of matrix metalloproteinases (MMPs) and their inhibitor (TIMP-1) were measured. Serum levels of inflammatory mediators also were measured. Serum levels of TNF, IL-17, MMP-1, and MMP-9 were higher in psoriasis than in control subjects. Basal productions of MMP-1, MMP-2, and MMP-9 by monocytes were higher in psoriasis than in controls, while TIMP-1 production was lower. TNF stimulation increased all MMPs in psoriasis and controls; TIMP-1 production was unchanged. IL-17 stimulation increased all MMPs in psoriasis and controls and decreased TIMP-1 production only in psoriasis. MMP-9 production was higher in monocytes stimulated with IL-17 compared to TNF in psoriasis and controls. TIMP-1 production decreased more with IL-17 than with TNF, but only in cells from psoriasis patients. MMP-1/TIMP-1, MMP-2/TIMP-1, and MMP-9/TIMP-1 ratios were higher after IL-17 stimulation (compared to TNF stimulation) in psoriasis; this occurred in monocytes from controls only for the MMP-2/TIMP-1 ratio. In conclusion, IL-17 has a greater capacity than TNF to dysregulate the balance between MMPs and their tissue inhibitor. This hierarchical supremacy supports the blockade of IL-17 as the first line of treatment in plaque psoriasis over TNF inhibitors.
ICAM2 initiates trans-Blood-CSF barrier migration and stemness properties in leptomeningeal metastasis of triple-negative breast cancer
Authors: Lu Pei-Jung , Pan Jhih-Kai , Lin Wen-Der , Kuo Yao-Lung , Chen Yu-Chia , Loh Zhu-Jun , Lin Forn-Chia , Cheng Hui-Chuan , Hsiao Michael
Published: October 2022

Leptomeningeal metastasis (LM) occurs when tumor cells spread to the leptomeningeal space surrounding the brain and the spinal cord, thereby causing poor clinical outcomes. The triple-negative breast cancer (TNBC) has been associated with symptoms of LM and mechanism remained unclear. Through proteomic analysis, we identified high expression of ICAM2 in leptomeningeal metastatic TNBC cells, which promoted the colonization of the spinal cord and resulted in poor survivalin vivo. Two-way demonstration indicated that high levels of ICAM2 promoted blood–cerebrospinal fluid barrier (BCB) adhesion, trans-BCB migration, and stemness abilities and determined the specificity of LMin vivo. Furthermore, pulldown and antibody neutralizing assay revealed that ICAM2 determined the specificity of LM through interactions with ICAM1 in the choroid plexus epithelial cells. Therefore, neutralizing ICAM2 can attenuate the progression of LM and prolong survivalin vivo. The results suggested that targeting ICAM2 is a potential therapeutic strategy for LM in TNBC.
The Optimal Surgery Timing After Stenting in Colorectal Cancer Patients with Malignant Obstruction: Additionally Compared with Emergency Surgery
Authors: Na Ji Eun , Kim Eun Ran , Kim Ji Eun , Hong Sung Noh , Kim Young-Ho , Chang Dong Kyung
Published: October 2022

Background and study aim
The optimal surgery timing after stenting remains unclear in colorectal cancer (CRC) patients with malignant obstruction. The objective of this study was to compare short-term and long-term outcomes according to the time interval after stenting. These outcomes were also compared with those of emergency surgery (ES).
Patients and methods
CRC patients with malignant obstruction who had obstructive symptoms between January 2008 and July 2018 were reviewed retrospectively, including 133 patients who visited the emergency room and subsequently underwent ES and 220 patients initially treated with stenting who subsequently underwent elective surgery. The time interval between self-expandable metal stent (SEMS) placement and elective surgery was classified as < 11 days, 11–17 days, and > 17 days. Short-term and long-term outcomes were compared.
Results
For those who received SEMS, the group with time interval of 11–17 days had fewer hospital days than the group with time interval < 11 days and the proportion of stoma formation was lower than that in the group with time interval of > 17 days. Multivariable analysis revealed a decreased risk of death only in the group with time interval of 11–17 days compared to the ES group (HR: 0.48; 95% CI: 0.24–0.97). Disease-free survival was comparable between time interval groups and the ES group (log-rank P = 0.52).
Conclusions
Approximately two weeks of the time interval after stenting to the elective surgery was reasonable.
The Impact of Manufacturing Sector on Economic Growth in Nigeria
Authors: Ogundipe Michael
Published: October 2022

In this study, the effects of Nigeria's manufacturing sector on economic growth between 1981 and 2018 are examined. In order to examine the relationship between the specified explanatory factors and the growth of the Nigerian economy, the study uses the OLS regression methodology. The findings indicate that the manufacturing sector's output has a positive and significant link with the increase of the gross domestic product, indicating that it has a favorable impact on that growth. The fact that this variable is significant suggests that Nigeria's manufacturing industry is currently one of the country's main economic drivers. Additionally, there is a strong and positive correlation between capital and GDP, which suggests that capital can help drive GDP growth. The link between labor and GDP growth is both favorable and significant, indicating that labor has a beneficial impact on GDP. The link between foreign direct investment and gross domestic product is strong and positive, indicating that FDI has a beneficial impact on GDP growth. The link between exchange rate and GDP is both positive and insignificant, which suggests that Nigeria's exchange rate management is subpar. The fact that the manufacturing sector of the Nigerian economy is currently one of the country's main driving forces may be responsible for the considerable and favorable impact of manufacturing production on economic growth.
Entropy based assessment of rainfall dynamics
with varying elevations for hilly areas of Uttarakhand, India
Authors: Singh Shekhar , Kumar Deepak , Kumar Anil
Published: October 2022

Rainfall is the main element of the hydrological cycle and has a direct impact on agriculture sectors. A regular pattern of rainfall results in a healthy crop production, extreme events such as flood and drought, industrial and domestic sectors etc. The present study tried to explore the variability in rainfall pattern with elevation differences in hilly areas, using different measure of entropy indices based on monthly, seasonal and annual scale. The study was carried out for the hilly areas of Uttarakhand. The selected hilly districts of Uttarakhand for this study was Almora, Kashipur, Lansdowne, and Mukteshwar stations. The rainfall data of 116 years from 1901 to 2016 has been used. In the present study, Shannon entropy has been used and variability in rainfall pattern has been done using Mean Marginal Disorder Index (MMDI) and apportionment disorder index. The results suggested that in light of seasonal analysis, post-monsoon season had a high MMDI (0.345) for Lansdowne station followed by Mukteshwar (0.309), and Almora (0.304). However, the highest MMDI (0.340) was recorded for Kashipur during pre-monsoon season, while pre-monsoon season had lowest MMDI for Mukteshwar station followed by Almora and Lansdowne station, although, lowest MMDI was recorded during winter season of Kashipur station. The results revealed that Kashipur and Lansdowne station had high rainfall variability, whereas Almora and Mukteshwar stations had less rainfall variability. The present study revealed that variability in rainfall and rainy days was not uniform everywhere and places at higher elevation has less temporal variability of rainfall patterns and number of rainy days.
Cultural Evolution of Central African hunter-gatherers reflects a deep history of interconnectivity
Authors: Padilla-Iglesias Cecilia , Blanco-Portillo Javier , Ioannidis Alexander , Manica Andrea , Vinicius Lucio , Migliano Andrea
Published: October 2022

Central African hunter-gatherers (CAHGs) are widely seen as isolated populations displaced into the forest by the expansion of Bantu-speaking farmers. By contrast, recent studies revealed various genetic signs of long-term adaptation of CAHGs to forest environments and independence from Bantu demography. It remains unclear whether cultural diversity among CAHGs is better explained by long-term cultural evolution preceding agriculture, or by recent borrowing from neighbouring farmers. We compiled cultural data on musical instruments, foraging tools, and specialised vocabulary as well as genome-wide SNP data from 10 CAHG populations. Our analyses revealed evidence of genetic and cultural large-scale interconnectivity among CAHGs, both before and after the Bantu expansion. By decomposing genomic segments into sets with distinct ancestry depths, we demonstrate that the distribution of hunter-gatherer musical instruments correlates with the oldest genomic segments in our sample. Music-related words are also widely shared between Western and Eastern groups and most likely precede the recent borrowing of Bantu languages. Subsistence tools result from long-term adaptation to locally differentiated ecologies and are less frequently exchanged over long distances. Our results provide evidence that CAHG culture is the outcome of a deep history of long-range interconnectivity and occupation of forest environments in the Congo Basin. We conclude that CAHGs should no longer be seen as encapsulated groups recently marginalised into the forest, but as populations with a central role in our understanding of modern human origins.
Deep Learning Based Approach: An Efficient Anomaly Detecting from Various Medical Signals and Medical Images Using CNNs
Authors: Abbass Mohamed Y. , Kwon Ki-Chul , Kim Nam , Haggag Nehad , Ibrahim Fatma , Mahrous Yasser , Seddik Ahmad , Khalil Ali , Elsherbeeny Zeinab , El-Shafai Walid , Rihan Mohamad , El-Banby Ghada , Soltan Eman , soliman nagla , Algarni Abeer , alhanafy waleed , Elfishawy Adel , El-Rabaie El-Sayed , Al-Nuaimy Waleed , Dessouky Moawad , Saleeb Adel , Messiha Nagy , El-Dokany Ibrahim , Sayed fathi , Khalaf Ashraf , El-Bendary Mohsen
Published: October 2022

In the Artificial Intelligence (AI) field, the deep learning is considered a method falls in the wide machine learning algorithms family based on the learning principle. The known traditional and Conventional Neural Networks (CNNs) have been utilized in the pattern recognition techniques based on the deep learning concepts from different images. Due to the importance of the Anomaly Detection (AD) in automatic diagnosis, it is essential and vital point in the image and medical signal processing. In this paper, the AD has been tested and evaluated using the signals of the medical EEG employing the spectrogram and medical corneal images. The deep learning based on the CNN models are employed in the processes of training and testing, each image input passes through a convolution layers series and Kernels filters. For the classification, the pooling and Fully Connected (FC) layers have been utilized for this purpose. In this research paper, the experiments computer simulation have been presented, its results reveal that the success and superiority of the presented proposed techniques in the automated medical diagnosis.
STATE OF DEVELOPMENT OF ACCOUNTING AND CONTROL OF FIXED ASSETS AT DOMESTIC ENTERPRISES AND DIRECTIONS OF THEIR IMPROVEMENT
Authors: Kravchenko О. , Seleznova О.
Published: October 2022

Fixed assets contribute to the process of production, distribution, exchange and consumption of resources. therefore, the efficiency of modern enterprises depends primarily on the productive use of fixed assets. Therefore, the accuracy and reliability of accounting for transactions related to the accounting, recognition, movement and disposal of such assets in the enterprise depends on the state of legal regulation of such aspects and control over the completeness of the data presented in the report.
This study examines the regulatory requirements for accounting for transactions with fixed assets (including the features of their recognition, comparison of optimal depreciation methods, etc.), scientific views on the classification of fixed assets, and the importance of control to ensure the completeness and accuracy of accounting data.
This article analyzes the features of accounting for fixed assets by life cycles, such as: receipt, productive use and storage, restoration and improvement of quality characteristics and disposal. The issues of types of revenues and values at which such assets should be recognized at the enterprise are considered. Particular attention is paid to the initial cost and methods of depreciation of fixed assets. Whereas the analysis of methods has shown that the straight-line method is simple in comparison with the method of accelerated reduction of residual value, which is the most time-consuming. Whereas the disadvantage of the cumulative method is the monthly determination of the cumulative coefficient, although the amount of depreciation in the straight-line method is constant. It is recognized that the last life cycle of fixed assets affects the financial results of the enterprise due to the deduction of income from disposal of fixed assets of their residual value and indirect costs associated with the disposal of such assets. On the basis of which it is emphasized that the task of control of fixed assets is to assess the feasibility of its acquisition, the reliability of regulatory requirements for accounting and movement of such assets, establishing the correct technical conditions of its operation, determining the documentation of repairs, as well as determining the amount of losses theft in case of detection.
The main problems of accounting and control of fixed assets are presented and ways to improve them are suggested. The implementation of such in economic activities minimizes the number of errors and errors in the accounting of fixed assets, as well as improve the quality of reporting