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The landscape of hepatitis B virus (HBV) integration in the plasma cell-free DNA (cfDNA) of HBV-infected patients with different stages of liver diseases [chronic hepatitis B (CHB), liver cirrhosis (LC), and hepatocellular carcinoma (HCC)] remains unclear. In this study, we developed an improved strategy for detecting HBV DNA integration in plasma cfDNA, based on DNA probe capture and next-generation sequencing. Using this optimized strategy, we successfully detected HBV integration events in chimeric artificial DNA samples and HBV-infected HepG2-NTCP cells at day one post infection, with high sensitivity and accuracy. The characteristics of HBV integration events in the HBV-infected HepG2-NTCP cells and plasma cfDNA from HBV-infected individuals (CHB, LC, and HCC) were further investigated. A total of 112 and 333 integration breakpoints were detected in the HepG2-NTCP cells and 22 out of 25 (88%) clinical HBV-infected samples, respectively. In vivo analysis showed that the normalized number of support unique sequences (nnsus) in HCC was significantly higher than in CHB or LC patients (P values < 0.05). All integration breakpoints are randomly distributed on human chromosomes and are enriched in the HBV genome around nt 1800. The majority of integration breakpoints (61.86%) are located in the gene-coding region. Both non-homologous end-joining (NHEJ) and microhomology-mediated end-joining (MMEJ) interactions occurred during HBV integration across the three different stages of liver diseases. Our study provides evidence that HBV DNA integration can be detected in the plasma cfDNA of HBV-infected patients, including those with CHB, LC, or HCC, using this optimized strategy. [ABSTRACT FROM AUTHOR]

Simple Summary: Protein tyrosine kinases (PTKs) are classified into two groups: one group includes tyrosine kinases, and the second group includes serine/threonine kinases. The group of tyrosine kinases includes both receptor tyrosine kinases (RTKs) and non-receptor tyrosine kinases (NRTKs) that function as "on" or "off" switches for many cellular functions. NRTKs are kinase enzymes which are overexpressed and activated in many cancer types and regulate variable cellular functions, including cell growth and progression and their dependent mechanisms and the associated signaling pathways. Thus, targeting NRTKs is of great interest to improve the treatment strategy of different tumor types. Protein tyrosine kinases (PTKs) function as key molecules in the signaling pathways in addition to their impact as a therapeutic target for the treatment of many human diseases, including cancer. PTKs are characterized by their ability to phosphorylate serine, threonine, or tyrosine residues and can thereby rapidly and reversibly alter the function of their protein substrates in the form of significant changes in protein confirmation and affinity for their interaction with protein partners to drive cellular functions under normal and pathological conditions. PTKs are classified into two groups: one of which represents tyrosine kinases, while the other one includes the members of the serine/threonine kinases. The group of tyrosine kinases is subdivided into subgroups: one of them includes the member of receptor tyrosine kinases (RTKs), while the other subgroup includes the member of non-receptor tyrosine kinases (NRTKs). Both these kinase groups function as an "on" or "off" switch in many cellular functions. NRTKs are enzymes which are overexpressed and activated in many cancer types and regulate variable cellular functions in response to extracellular signaling-dependent mechanisms. NRTK-mediated different cellular functions are regulated by kinase-dependent and kinase-independent mechanisms either in the cytoplasm or in the nucleus. Thus, targeting NRTKs is of great interest to improve the treatment strategy of different tumor types. This review deals with the structure and mechanistic role of NRTKs in tumor progression and resistance and their importance as therapeutic targets in tumor therapy. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: *The nation's urban sector has experienced significant changes since industrialization, both in terms of growth and improvement in terms of creating jobs and the depletion of natural resources. The development and destruction are commendable and need mention and attention. These days, issues such as environmental degradation, the wealth gap, and unequal access to opportunities and resources are increasing. These concerns have increased the need for urban management through sustainable and planned development. The development cannot be sustained unless the depletion is controlled and taken care of. The current study focused on how urban regions have changed and how sustainable development helps cope with the changes. Furthermore, the study focused on enhancing the well-being of urban communities and promoting inclusivity to develop sustainable businesses that are economically sustainable in the long run. The novelty of the study is that explores how sustainable development can mitigate the impacts of urban change and enhance community well-being and inclusivity. METHODS: *Quantitative methodologies, such as surveys and statistical analyses, may have shed light on the broader impact of sustainable business practices on urban development. To complement these findings, qualitative case studies and interviews could have fostered deeper insights into specific initiatives and the perspectives of entrepreneurs navigating this landscape. A mixed-methods approach, weaving together quantitative trends with rich qualitative narratives, would have further enriched the understanding of motivations and challenges encountered. Ultimately, regardless of the specific methodologies employed, this research likely aimed to achieve a holistic understanding of the intricate connections between urban management, sustainable business practices, and the innovative spirit of entrepreneurs driving change in India. In this study, the researcher used regression analysis and factor analysis to achieve the research objectives. FINDINGS: The entrepreneurs examined in the study exhibited a proactive stance towards critical aspects of sustainable business, notably waste management, energy efficiency, and resource optimization. The study identifies significant associations between key variables and sustainable urban development. Urban management demonstrates a positive impact (B = 1.286, SE = 0.621, Beta = 0.116, T = 2.071, P = 0.0039), highlighting its crucial role in shaping sustainable practices. Sustainable practices, in turn, exhibit a strong positive correlation (B = 1.088, SE = 0.257, Beta = 0.238, T = 4.242, P = 0.0001), indicating their pivotal role in driving urban development towards sustainability. These findings underscore the importance of integrating effective urban management strategies and sustainable practices to foster inclusive and resilient urban communities. CONCLUSION: The findings provide the government with all the criteria essential for a valid approach to the sustainable development of the urban regions of the country and provide the appropriate balance between growth and development. The researcher recommended that creating supportive policies and incentives, investing in green infrastructure, supporting local entrepreneurship ecosystems, collecting and sharing data, and promoting community engagement are requirements for urban management. In addition, recommended that focusing on triple bottom line impact, collaborating with other stakeholders, Innovating and adapting, communicating transparently, and advocating for change are required for Sustainable Businesses by Entrepreneurs. [ABSTRACT FROM AUTHOR]

To establish a responsible business environment, it is important to analyze the way corporate social responsibility (CSR) is implemented within the business world. In this respect, managers play a crucial role in designing and applying the CSR concept and practices. Therefore, this paper aims to identify and analyze the perceptions and attitudes of medium-sized enterprises (SMEs) and multinational companies (MNCs) managers in the Romanian retail sector related to CSR implementation. A documentary research approach and a qualitative research methodology through the use of four focus groups were utilized to fulfill the above-mentioned purpose. Additionally, the authors employed content analysis and Nvivo 14 software to process the collected data. The findings indicate that the size of firms represents a key element of managers' perceptions and attitudes regarding CSR. Particularly, SME managers have a lower level of familiarity with the concept and the potential advantages for business compared to MNC managers. Furthermore, when it comes to CSR practices, MNCs use a comprehensive approach to meeting the demands of their stakeholders, whereas SMEs prioritize the requirements of their employees. One major obstacle in implementing the CSR concept continues to be the high expenses involved in the businesses. [ABSTRACT FROM AUTHOR]

The study aimed to compare various toothpastes and mouthwashes on permanent tooth dentin after erosive and abrasive challenges. 130 sound premolars dentin were randomly submitted to an initial erosive challenge and a cycle of erosive and abrasive challenges for five days. The five experimental groups (n = 26) were: (1) Control group (artificial saliva), (2) Elmex erosion protection toothpaste and mouthwash, (3) Vitis anticaries biorepair toothpaste and mouthwash, (4) Oral B Pro-expert toothpaste and Oral B Fluorinse mouthwash, and (5) MI Paste ONE toothpaste and Caphosol mouthwash. Microhardness, surface roughness values, and the topographical characteristics of the dentin surface were assessed. The highest percentage of recovered dentin microhardness (%RDMH) value was observed in groups 2 and 4, followed by groups 5 and 3, respectively. The %RDMH values in groups 2 and 4 did not demonstrate a significant difference (p = 0.855). The highest percentage of improvement in surface roughness was recorded in groups 2 and 4, with no significant differences (p = 0.989). The atomic force microscopy (AFM) findings were consistent with the surface roughness data. The best recovery of dentin microhardness and roughness were measured with the Elmex and Oral B toothpaste and mouthwash, followed by MI Paste ONE toothpaste and Caphosol mouthwash and Vitis anticaries biorepair toothpaste and mouthwash. [ABSTRACT FROM AUTHOR]

Copyright of Balikesir Health Sciences Journal / Balıkesir Sağlık Bilimleri Dergisi is the property of Balikesir Health Sciences Journal (BAUN Health Sci J) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The achievement of a functional cure for chronic hepatitis B (CHB) remains limited to a minority of patients treated with currently approved drugs. The primary objective in developing new anti-HBV drugs is to enhance the functional cure rates for CHB. A critical prerequisite for the functional cure of CHB is a substantial reduction, or even eradication of covalently closed circular DNA (cccDNA). Within this context, the changes in cccDNA levels during treatment become as a pivotal concern. We have previously analyzed the factors influencing cccDNA dynamics and introduced a preliminary classification of hepatitis B treatment strategies based on these dynamics. In this review, we employ a systems thinking perspective to elucidate the fundamental aspects of the HBV replication cycle and to rationalize the classification of treatment strategies according to their impact on the dynamic equilibrium of cccDNA. Building upon this foundation, we categorize current anti-HBV strategies into two distinct groups and advocate for their combined use to significantly reduce cccDNA levels within a well-defined timeframe. [ABSTRACT FROM AUTHOR]

Introduction: The Chewable Toothbrush (CB) is a recent innovation in mechanical plaque removal methods. With its unique design, this tiny compressible brush can be used in both chewing and brushing actions without the need for toothpaste or water. Aim: To provide an overview of the indications, contraindications, advantages, and disadvantages of CBs. Furthermore, the present study aims to summarise the current evidence on the efficacy of plaque removal compared to powered or manual toothbrushes in all age groups and in both orthodontic and non orthodontic patients. It also aims to report the evidence on the ability of CBs to prevent dental caries. Materials and Methods: The electronic databases of ‘Google Scholar,’ ‘PubMed,’ ‘Cochrane Database,’ and ‘Science Direct’ were searched for all studies that evaluated the efficacy of CBs in removing dental plaque or controlling dental caries. The eligibility criteria included any study written in English, involving all types of populations without any restrictions. A total of 14 articles were identified and included in the present review. A data-charting form was utilised to extract relevant information from eligible studies. Results: A review of the current published studies revealed inferior efficacy for CB compared to the powered brush, with inconsistent findings compared to the manual brush. Additionally, CB has demonstrated promising caries prevention capabilities in most studies. Conclusion: Based on its indications, CB might be an appropriate oral hygiene tool in situations where manual toothbrushing is difficult to perform, such as in individuals with physical disabilities, reduced manual dexterity, and those who lack brushing motivation or the appropriate brushing technique. The use of CB could be beneficial in individuals with a high-risk of caries due to its unique anticaries properties. However, more research is required to confirm these findings. [ABSTRACT FROM AUTHOR]

A Spiking Neural Network (SNN) is realized within a 65 nm CMOS process to demonstrate the feasibility of its constituent cells. Analog hardware neural networks have shown improved energy efficiency in edge computing for real-time-inference applications, such as speech recognition. The proposed network uses a leaky integrate and fire neuron scheme for computation, interleaved with a Spike Timing Dependent Plasticity (STDP) circuit for implementing synaptic-like weights. The low-power, asynchronous analog neurons and synapses are tailored for the VLSI environment needed to effectively make use of hardware SSN systems. To demonstrate functionality, a feed-forward Spiking Neural Network composed of two layers, the first with ten neurons and the second with six, is implemented. The neuron design operates with 2.1 pJ of power per spike and 20 pJ per synaptic operation. [ABSTRACT FROM AUTHOR]

Background: Non-alcoholic fatty liver disease (NAFLD) is a common concomitant condition in patients with inflammatory bowel disease (IBD). We aim to assess the magnitude of this association. Methods: We searched MEDLINE, EMBASE and Scopus libraries for the period up to February 2023 to identify studies reporting cohorts of IBD patients in which NALFLD was evaluated. Results: Eighty-nine studies were analyzed. The overall prevalence of NAFLD was 24.4% (95%CI, 19.3–29.8) in IBD, 20.2% (18.3–22.3) in Crohn's disease and 18.5% (16.4–20.8) for ulcerative colitis. Higher prevalence was found in male compared to female patients, in full papers compared to abstracts, and in cross-sectional studies compared to prospective and retrospective ones. The prevalence of NAFLD in IBD has increased in studies published from 2015 onwards: 23.2% (21.5–24.9) vs. 17.8% (13.2–22.9). Diagnostic methods for NAFLD determined prevalence figures, being highest in patients assessed by controlled attenuation parameter (38.8%; 33.1–44.7) compared to ultrasonography (28.5%; 23.1–34.2) or other methods. The overall prevalence of fibrosis was 16.7% (12.2–21.7) but varied greatly according to the measurement method. Conclusion: One-quarter of patients with IBD might present with NAFLD worldwide. This proportion was higher in recent studies and in those that used current diagnostic methods. [ABSTRACT FROM AUTHOR]

Recent years have seen an increasing popularity in the development of brain-inspired neuromorphic hardware for neural computing systems. However, implementing very large scale simulations of neural networks in hardware is still an open challenge in terms of power efficiency, compactness, and biophysical resemblance. In an effort to design biologically plausible spiking neuron circuits while restricting power consumption, we propose a new subthreshold Leaky Integrate-and-Fire (LIF) neuron circuit designed using 22 nm FDSOI technology. In this circuit, problems of large leakage currents and device mismatch are effectively reduced by deploying the back-gate terminal of FDSOI technology for a tunable design. The proposed neuron is able to operate in two spiking frequency modes with tunable bias parameter setting of key transistors, and it results in complex firing behaviors, such as adaptation, chattering, and bursting, through varying bias voltages. We present circuit post-layout simulation results and demonstrate the biologically plausible neural dynamics. Compared with published state-of-the-art neuron circuits, the circuit dissipates ultra-low energy per spike, on the order of femtojoules per spike, at firing rates ranging from 30 Hz to 1 kHz. Furthermore, the circuit is proven to maintain a good robustness over process variation and Monte Carlo analysis, with relative error 3.02% at a firing rate of approximately 67.1 Hz. [ABSTRACT FROM AUTHOR]

Objectives: To systematically evaluate randomized controlled trials (RCTs) on whether a chewable toothbrush (CTB) is more effective than a manual toothbrush (MTB) in terms of full‐mouth dental plaque reduction in non‐orthodontic children. Materials and Methods: Six databases were searched by two independent reviewers according to pre‐specified eligibility criteria up to October 2022. No restrictions regarding language, date of publication and minimum follow‐up period were imposed. The Cochrane Collaboration's Risk of Bias tool (RoB 2.0) was used for quality appraisal and GRADE for assessing the certainty of evidence. Random‐effects pairwise meta‐analysis compared the dental plaque change scores of CTB and MTB through mean differences (MDs) and associated confidence intervals (95% CI), and sensitivity analysis determined whether an individual study significantly affected the results. Results: Seven eligible RCTs were retrieved, including data of 310 children aged 8–14 years. Five RCTs present some concerns and two have high RoB. No significant difference was detected between toothbrushes in terms of Turesky modification of the Quigley‐Hein plaque index reduction (MD = −0.04, 95% CI: −0.26–0.18), with overall very low certainty on evidence. The pooled estimate remains unchanged when any RCT is omitted. Conclusion: There is very low‐certainty evidence of no significant difference on plaque removal between MTB and CTB in non‐orthodontic children. Due to unexplained high heterogeneity and low methodological quality of RCTs, we cannot determine the extent to which our finding reflects a true effect or bias arising from limitations of primary studies. [ABSTRACT FROM AUTHOR]

Introduction: An unusual cluster of myoclonic epilepsy was observed in a Romanian pediatric HIV cohort concurrent with measles outbreaks. We describe this particular form of subacute measles encephalitis (SME) in a group of HIVinfected children and adolescents with severe immunosuppression. Methods: This is a single-center study, starting in 1997 and covering 4 measles outbreaks in Romania. The presumptive diagnosis of subacute myoclonic measles encephalitis (SMME) was based on: (1) epidemiological data, previous measles episode or presumed contact with measles virus (MV), (2) clinical presentation with initial localized myoclonic jerks with rapid extension and subsequent motor deficit with preserved mental status, and (3) neuroimaging studies revealing cortical gray matter lesions. Definitive diagnosis was based on a neuropathological exam and immunohistochemistry of brain tissues, and measles RNA detection in the cerebrospinal fluid (CSF). Results: Thirty-six patients were diagnosed with a particular form of SME during consecutive measles outbreaks in Romania: 1996--1998 (22); 2005--2008 (12); 2010--2011 (1) and 2016-2018 (1). Most children were born in the late 80s and had parenterally acquired HIV infection in early childhood. Before the episode of SMME, 11 patients had confirmed measles, while the rest, without typical rash, had a respiratory tract infection and/or presumed previous measles contact. In all patients, the clinical onset was sudden, with unilateral myoclonus. MRI findings revealed mainly focal cortical gray matter lesions. Neurologic symptoms progressed rapidly to coma and death in most patients. Three patients survived SMME, they had higher CD4 count at onset, slower progression of neurological symptoms, and benefit of immune recovery with cART. Immunocytochemistry studies revealed MV in the brain with a pattern suggesting an ascending viral neural infection. MV was isolated from CSF in 7 out of 8 patients. Sequence analysis of MV RNA from both nasopharyngeal swabs and CSF was available for one patient with similar N-450 strain characteristics. Conclusion: During an outbreak of measles, neurological manifestations, especially myoclonus in immunosuppressed patients, can be related to measles even in the absence of an acute episode. This particular form of subacute myoclonic measles encephalitis is an opportunistic fatal disease. Immune recovery due to effective antiretroviral treatment might increase survival. [ABSTRACT FROM AUTHOR]

This work focuses on the optimization of the structural complexity of a single-layer feedforward neural network (SLFN) for neuromorphic hardware implementation. The singular value decomposition (SVD) method is used for the determination of the effective number of neurons in the hidden layer for Modified National Institute of Standards and Technology (MNIST) dataset classification. The proposed method is also verified on a SLFN using weights derived from a synaptic transistor device. The effectiveness of this methodology in estimating the reduced number of neurons in the hidden layer makes this method highly useful in optimizing complex neural network architectures for their hardware realization. [ABSTRACT FROM AUTHOR]

Carbon materials derived from metal-organic frameworks have attracted increasing attention as anodes for energy storage. In this study, Fe, Ni-doped ZIF-8 is carbonized at high temperature to obtain bimetallic Fe and Ni modified tension -relaxed carbon (FeNi@trC). Fe and Ni have opposite structural modification effects when the metal ions are doped into the ZIF-8 dodecahedron. The obtained carbon material maintains the regular dodecahedron morphology, which means the relaxation of tension and strong thermal stability during annealing. Moreover, the presence of nickel enhances the carbonization degree and electrochemical stability of FeNi@trC, while the calcination of the tensive ZIF-8 precursor offers more defect sites. The discharge capacities of FeNi@trC materials are stable at 182.9 mAh·g−1 and 567.9 mAh·g−1 for sodium-ion batterie (SIB) and lithium-ion batterie (LIB) at 0.05 A·g−1. Compared with the current density of 0.05 A·g−1, the discharge capacity of SIB and LIB attenuates by 29.4% and 55.9% at 1 A·g−1, respectively, and the FeNi@trC shows good performance stability in the following cycles. [ABSTRACT FROM AUTHOR]

Sustainable business practices have become the order of the day, and social responsiveness is a key aspect, especially in the domain of international trade. Sustainability has pronounced greater meaning and importance in today's parlance. Sustainable development involves focusing on the social, environmental and economic aspects of business. It is quite imperative that business performance depends largely on developing sustainable practices. The research aims to recognising the significance of sustainable business practices in improving the competitiveness of apparel companies. The paper throws light on the relationship between influencing factors of sustainable business practices, such as quality, environment and social standards over business performance, in the context of Apparel Clusters in Tamil Nadu. The findings will benefit the apparel industry by facilitating understanding, adaptation, and avail the advantages of implementing internationally commended quality, environment and social standards and become more competitive in the long run. [ABSTRACT FROM AUTHOR]

Quinolone is a heterocyclic compound containing carbonyl at the C-2 or C-4 positions with nitrogen at the C-1 position. The scaffold was first identified for its antibacterial properties, and the derivatives were known to possess many pharmacological activities, including anticancer. In this review, the quinolin-2(H)-one and quinolin-4(H)-one derivatives were identified to inhibit several various proteins and enzymes involved in cancer cell growth, such as topoisomerase, microtubules, protein kinases, phosphoinositide 3-kinases (PI3K) and histone deacetylase (HDAC). Hybrids of quinolone with curcumin or chalcone, 2-phenylpyrroloquinolin-4-one and 4-quinolone derivatives have demonstrated strong potency against cancer cell lines. Additionally, quinolones have been explored as inhibitors of protein kinases, including EGFR and VEGFR. Therefore, this review aims to consolidate the medicinal chemistry of quinolone derivatives in the pipeline and discuss their similarities in terms of their pharmacokinetic profiles and potential target sites to provide an understanding of the structural requirements of anticancer quinolones., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Prison writing in India has not been adequately engaged with, either in its literary bounds or its implications on prison conditions and administration. With the majority of incarcerations consisting of those yet to be found guilty of a crime, the absence of uniform policies or legal provisions concerning these 'undertrials' affects in a consequential way the prisoner's ability to exercise certain rights, even if limited, especially with regard to personal expression. This article explores this aspect through the decade-long incarceration reflected upon by Kobad Ghandy's Fractured Freedom: A Prison Memoir (2021). [ABSTRACT FROM AUTHOR]

Our main objective was to identify abundantly expressed tyrosine kinases in multiple myeloma (MM) as potential therapeutic targets. We first compared the transcriptomes of malignant plasma cells from newly diagnosed MM patients who were risk-categorized based on the patientspecific EMC-92/SKY-92 gene expression signature values vs. normal plasma cells from healthy volunteers using archived datasets from the HOVON65/GMMG-HD4 randomized Phase 3 study evaluating the clinical efficacy of bortezomib induction/maintenance versus classic cytotoxic drugs and thalidomide maintenance. In particular, ERBB1/EGFR was significantly overexpressed in MM cells in comparison to normal control plasma cells, and it was differentially overexpressed in MM cells from high-risk patients. Amplified expression of EGFR/ERBB1 mRNA in MM cells was positively correlated with increased expression levels of mRNAs for several DNA binding proteins and transcription factors with known upregulating activity on EGFR/ERBB1 gene expression. MM patients with the highest ERBB1/EGFR expression level had significantly shorter PFS and OS times than patients with the lowest ERBB1/EGFR expression level. High expression levels of EGFR/ERBB1 were associated with significantly increased hazard ratios for unfavorable PFS and OS outcomes in both univariate and multivariate Cox proportional hazards models. The impact of high EGFR/ERBB1 expression on the PFS and OS outcomes remained significant even after accounting for the prognostic effects of other covariates. These results regarding the prognostic effect of EGFR/ERBB1 expression were validated using the MMRF-CoMMpass RNAseq dataset generated in patients treated with more recently applied drug combinations included in contemporary induction regimens. Our findings provide new insights regarding the molecular mechanism and potential clinical significance of upregulated EGFR/ERBB1 expression in MM. [ABSTRACT FROM AUTHOR]

Reliability aspects such as bias temperature instability (BTI) and hot carrier injection (HCI) affecting devices in advanced CMOS‐based technology have been the subject of active research in recent decades. Due to these reliability issues, various digital and analog circuits were investigated for degradation. However, circuit blocks like the neuron circuits of neuromorphic systems are not fully explored. This work is inclined toward examining the collective degradation impact of BTI and HCI due to aging in an adaptive exponential "integrate and fire" (I&F) model‐based, neuromorphic neuron circuit. Detailed degradation analysis of the stimulated neuron circuit aided in identifying possible mismatches/faults associated with neuron spikes. These factors could reduce the efficiency of the neuronal circuit by potentially affecting the transmission of information in a neuromorphic system. Various performance parameters were then derived to quantify the extent of circuit deterioration. The proposed reliability‐aware design aims to improve the circuit degradation through its effectiveness in alleviating the overall reliability impact. It demonstrates enhanced circuit operation in spike generation even after aging. The circuit performance is validated through simulations at "Time0" (pre‐degradation) and "Aged" (post‐degradation) neuron netlists, which is then compared with the proposed reliability‐aware circuit. [ABSTRACT FROM AUTHOR]

Tyrosine kinase inhibitors (TKI) such as Masitinib were reported to be useful as therapeutic options in malignant disorders and nonmalignant diseases, like coronavirus disease 2019 (COVID-19). Most kinases must be translocated into targeted cells by the action of specific transport proteins, as they are hydrophilic and not able to cross cell membranes freely. Accordingly, the efficacy of TKI in target cells is closely dependent on the expression of their transporters. Specifically, Masitinib is an organic cation and is expected to interact with organic cation transporters (OCT and Multidrug and Toxin Extrusion proteins—MATE-). The aim of this work was to characterize the interaction of Masitinib with different OCTs. Human embryonic kidney 293 cells stably transfected with murine or human OCT were used for the experiments. The interaction of Masitinib with OCTs was investigated using quenching experiments. The intracellular accumulation of this drug was quantified using high performance liquid chromatography. Our results identified interactions of Masitinib with almost all investigated mouse (m) and human (h) OCTs and hMATE1 and indicated OCT1 and hOCT2 to be especially potent Masitinib translocators across cell membranes. Interestingly, some important differences were observed for the interaction with murine and human OCTs. In the future, investigations concerning further in vitro and in vivo properties of Masitinib and its efficacy related to transporter-related uptake mechanisms under pathophysiological conditions should be performed. Clinical trials in humans and other animals with Masitinib have already shown promising results. However, further research is necessary to understand the disease specific transport mechanisms of Masitinib to contribute to a successful and responsible therapy employment. [ABSTRACT FROM AUTHOR]

The most prevalent malignant bone tumor, osteosarcoma, affects the growth plates of long bones in adolescents and young adults. Standard chemotherapeutic methods showed poor response rates in patients with recurrent and metastatic phases. Therefore, it is critical to develop novel and efficient targeted therapies to address relapse cases. In this regard, RNA interference technologies are encouraging options in cancer treatment, in which small interfering RNAs regulate the gene expression following RNA interference pathways. The determination of target tissue is as important as the selection of tissue-specific promoters. Moreover, small interfering RNAs should be delivered effectively into the cytoplasm. Lentiviral vectors could encapsulate and deliver the desired gene into the cell and integrate it into the genome, providing long-term regulation of targeted genes. Silencing overexpressed genes promote the tumor cells to lose invasiveness, prevents their proliferation, and triggers their apoptosis. The uniqueness of cancer cells among patients requires novel therapeutic methods that treat patients based on their unique mutations. Several studies showed the effectiveness of different approaches such as microRNA, drug- or chemotherapy-related methods in treating the disease; however, identifying various targets was challenging to understanding disease progression. In this regard, the patient-specific abnormal gene might be targeted using genomics and molecular advancements such as RNA interference approaches. Here, we review potential therapeutic targets for the RNA interference approach, which is applicable as a therapeutic option for osteosarcoma patients, and we point out how the small interfering RNA method becomes a promising approach for the unmet challenge. [ABSTRACT FROM AUTHOR]

Objective: Chewable toothbrushes (CT) are considered an effective tool for dental plaque removal; however, their effectiveness is still uncertain compared to Manual toothbrushes (MT). Aim: To evaluate the effectiveness of CT compared to MT in dental plaque removal. Methods: Studies comparing the efficiency of CT and MT in dental plaque removal measured by Turesky Modification of Quigley-Hein Plaque Index (TMQHI), Quigley-Hein Plaque Index (QHI), or Silness Loe Plaque Index (SLPI) were identified in PubMed, Medline Web of Science, Google Scholar, and the CENTRAL. Results and effect sizes estimate are presented as mean difference, and subgroup analysis is presented separately for non-randomised interventional studies and randomised intervention studies. Risk of bias was assessed using the Cochrane risk of bias tool (ROBINS-I and ROB2 tool). Results: A total of 10 studies were included in the systematic review, whereas six out of 10 studies were included in the meta-analysis. Both CT and MT were effective in plaque reduction over time when compared individually using the TMQHI and SLPI scores. The overall pooled summary showed no difference in CT and MT's dental plaque removal ability when measured using the TMQHI score. Similarly, there was no difference in CT and MT's dental plaque removal ability when measured using the SLPI score. Conclusion: There is no significant difference in CT and MT's plaque removal ability. Therefore, CT should only be recommended for children and individuals with a disability or manual dexterity. [ABSTRACT FROM AUTHOR]

Spiking neural network (SNN) has emerged as one of the most powerful brain-inspired computing paradigms in complex pattern recognition tasks that can be enabled by neuromorphic hardware. However, owing to the fundamental architecture mismatch between biological and Boolean logic, CMOS implementation of SNN is energy inefficient. A low-power approach with novel "neuro-mimetic" devices offering a direct mapping to synaptic and neuronal functionalities is still an open area. In this paper, SNN constructed with novel magnetic skyrmion-based leaky-integrate-fire (LIF) spiking neuron and the skyrmionic synapse crossbar is proposed. We perform a systematic device-circuit-architecture co-design for pattern recognition to evaluate the feasibility of our proposal. The simulation results demonstrated that our device has superior lower switching voltage and high energy efficiency, two times lower programming energy efficiency in comparison with CMOS devices. This work paves a novel pathway for low-power hardware design using full-skyrmion SNN architecture, as well as promising avenues for implementing neuromorphic computing schemes. [ABSTRACT FROM AUTHOR]

The most recent demand for reservation quotas in India has come from the regionally dominant castes of the Jats and Patidars in the arena of education and employment. However, given their status as 'dominant' castes, it is paradoxical that these castes are claiming a 'backward' status. This demand raises questions of two kinds. Firstly, what is the nature of caste identity that they wish to leverage for purposes of gaining access to state quotas? Secondly, what are the different ways in which identities, expectations and mobilisations are shaped by electoral politics? The paper argues that ethnic identities are fluid which take on newer features and markers as they interact with categories of recognition that the state establishes. These negotiations have been exacerbated by electoral politics and the policy of economic liberalisation which have together upset dominant caste equations. [ABSTRACT FROM AUTHOR]

Simple Summary: High-throughput CRISPR screening provides an unbiased way for functional genomic studies in hematological malignancies. This approach has been used to study different blood cancers aiming to identify modulator genes for drug efficacy, therapeutic targets, synthetic lethal interactions, biomarkers of malignant transformation and the genetic determinants of immune evasion. In this review, we discuss the most relevant CRISPR screening studies in the field of hematology. CRISPR is becoming an indispensable tool in biological research, revolutionizing diverse fields of medical research and biotechnology. In the last few years, several CRISPR-based genome-targeting tools have been translated for the study of hematological neoplasms. However, there is a lack of reviews focused on the wide uses of this technology in hematology. Therefore, in this review, we summarize the main CRISPR-based approaches of high throughput screenings applied to this field. Here we explain several libraries and algorithms for analysis of CRISPR screens used in hematology, accompanied by the most relevant databases. Moreover, we focus on (1) the identification of novel modulator genes of drug resistance and efficacy, which could anticipate relapses in patients and (2) new therapeutic targets and synthetic lethal interactions. We also discuss the approaches to uncover novel biomarkers of malignant transformations and immune evasion mechanisms. We explain the current literature in the most common lymphoid and myeloid neoplasms using this tool. Then, we conclude with future directions, highlighting the importance of further gene candidate validation and the integration and harmonization of the data from CRISPR screening approaches. [ABSTRACT FROM AUTHOR]

Copyright of Lex Humana is the property of Lex Humana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Noise management associated with input signals in sensor devices arises as one of the main problems limiting robot control performance. This article introduces a novel neuromorphic filter model based on a leaky integrate and fire (LIF) neural model cell, which encodes the primary information from a noisy input signal and delivers an output signal with a significant noise reduction in practically real-time with energy-efficient consumption. A new approach for neural decoding based on the neuron-cell spiking frequency is introduced to recover the primary signal information. The simulations conducted on the neuromorphic filter demonstrate an outstanding performance of white noise rejecting while preserving the original noiseless signal with a low information loss. The proposed filter model is compatible with the CMOS technology design methodologies for implementing low consumption smart sensors with applications in various fields such as robotics and the automotive industry demanded by Industry 4.0. [ABSTRACT FROM AUTHOR]

Biological neural networks demonstrate remarkable resilience and the ability to compensate for neuron losses over time. Thus, the effects of neural/synaptic losses in the brain go mostly unnoticed until the loss becomes profound. This study analyses the capacity of electronic spiking networks to compensate for the sudden, random neuron failure ("death") due to reliability degradation or other external factors such as exposure to ionizing radiation. Electronic spiking neural networks with memristive synapses are designed to learn spatio-temporal patterns representing 25 or 100-pixel characters. The change in the pattern learning ability of the neural networks is observed as the afferents (input layer neurons) in the network fail/die during network training. Spike-timing-dependent plasticity (STDP) learning behavior is implemented using shaped action potentials with a realistic, non-linear memristor model. This work focuses on three cases: (1) when only neurons participating in the pattern are affected, (2) when non-participating neurons (those that never present spatio-temporal patterns) are disabled, and (3) when random/non-selective neuron death occurs in the network (the most realistic scenario). Case 3 is further analyzed to compare what happens when neuron death occurs over time versus when multiple afferents fail simultaneously. Simulation results emphasize the importance of non-participating neurons during the learning process, concluding that non-participating afferents contribute to improving the learning ability and stability of the neural network. Instantaneous neuron death proves to be more detrimental for the network compared to when afferents fail over time. To a surprising degree, the electronic spiking neural networks can sometimes retain their pattern recognition capability even in the case of significant neuron death. [ABSTRACT FROM AUTHOR]

Horizontal cooperation in logistics has gathered momentum in the last decade as a way to reach economic as well as environmental benefits. In the literature, these benefits are most often assessed by aggregating all demand and then optimizing the supply chain at the level of the coalition. However, such an approach ignores the individual preferences of the participating companies and forces them to agree on a unique coalition objective. Companies with different (potentially conflicting) preferences could improve their individual outcome by diverging from this joint solution. In order to prevent such individualistic behavior, we propose an optimization framework that explicitly accounts for the individual partners' interests. In the models presented in this paper, all partners are allowed to specify their preferences regarding the decrease in logistical costs versus reduced CO 2 emissions. Consequently, all stakeholders are more likely to accept the solution, and the long-term viability of the collaboration is improved. The contribution of our work is threefold. First, we formulate a multi-partner multi-objective location-inventory model. Second, we distinguish two approaches to solve such a multi-partner multi-objective optimization problem, each focusing primarily on a single dimension. The result is a set of Pareto-optimal solutions that support the decision and negotiation process. Third, we propose and compare three different solution techniques to construct a unique solution which is fair and efficient for the coalition. Our numerical experiments not only confirm the potential of collaboration but—more importantly—also reveal valuable managerial insights on the effect of dissimilarities between partners with respect to size, geographical overlap and operational preferences. [ABSTRACT FROM AUTHOR]

What is the role of colonial institutions in creating the conditions for nativist sons of the soil (SoS) insurgency? The literature on sons of the soil conflicts has not explored the historical legacies of colonial institutions, nor has it sufficiently analyzed how land tenure institutions create sons of the soil conflict. I address these gaps, by proposing a theory of how British colonial indirect rule and land tenure institutions in India caused exploitation of land resources of indigenous tribes by ethnic outsiders, which caused SoS grievances that persisted through path dependence and were later mobilized by Maoist rebels in the former princely state of Bastar in Central India. I show generalizability of this mechanism to other cases of leftist insurgency in Colombia, Mexico and Philippines. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Kunming Medical University / Kunming Yike Daxue Xuebao is the property of Kunming Medical Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Independent India has witnessed a surge of right-wing militant Hindu extremism since the 1980s. The long term political and ideological goal of the Rashtriya Swayamsevak Sangh is to create a Hindu Rashtra through propagating Hindutva. To realize this goal, proponents of Hindutva radicalize youth and children with conservative and fictional thoughts which lead to Islamophobia. This paper examines the link between radicalization and spread of Hindutva discourse, and communal violence. It also surveys campaigns used by the VHP to prevent proselytism. The paper also analyses how RSS aims to rewrite textbooks and control education patterns and establish conservative schools to further its interests. Findings of the paper also indicate that governments have been either complicit or negligent while dealing with Muslim riot victims. Analysis of news article regarding communal violence involving Hindus and Muslims indicate that the media acts as an echo chamber and enable Hindutva and Islamophobia in India. [ABSTRACT FROM AUTHOR]

Copyright of Muhasebe ve Vergi Uygulamalari Dergisi (MUVU) / Journal of Accounting & Taxation Studies (JATS) is the property of Ankara Serbest Muhasebeci Mali Musavirler Odasi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Necrotizing fasciitis is a deadly necrotic inflammation of skin, subcutaneous tissues, and muscle bundles. We describe a case of necrotizing fasciitis by Aeromonas hydrophila in an immunocompetent adult host. Although rare, the associated mortality is as high as 60-75%. [ABSTRACT FROM AUTHOR]

While CMOS scaling is currently reaching its limits in power dissipation and circuit density, the analogy between biology and silicon is emerging as a solution to ultra-low-power signal processing. Urgent applications involving artificial vision and audition, including intelligent sensing, appeal original energy efficient and ultra-miniaturized silicon-based solutions. While state-of-the-art is focusing on digital-oriented solutions, this paper proposes a neuromorphic analog signal processor using Izhikevich-based artificial neurons in an analog spiking modulator. A varicap-based artificial neuron is explored reducing the silicon area to 98.6 μ m 2 and the substrate leakage to a 1.95 fJ / spike efficiency. Post-layout simulation results are presented to investigate the high-resolution, high-speed, and full-scale dynamic range for audio signal processing applications. The proposal demonstrates a 9 bits spiking-modulator resolution, a maximum of 8 fJ / conv efficiency, and a root–mean–square error of 0.63 mV RMS . [ABSTRACT FROM AUTHOR]

Copyright of Accounting & Auditing Perspective Magazine / Muhasebe ve Denetime Bakış is the property of Union of Chambers of Certified Public Accountants of Turkey (TURMOB) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nature‐inspired innovation (NII) is an increasingly common innovation strategy, yet little is known about its implementation within corporate innovation settings. This paper asks what factors influence the application of NII in corporate contexts. It combines theoretical perspectives from innovation adoption and sustainability‐oriented innovation to explore factors that influence the implementation of NII. Six case studies of multinational corporations applying NII were analyzed, using data collected through semistructured interviews (N = 45), a review of internal project documents, and publicly available materials. Results indicate that successful implementation depends upon the characteristics of the innovation context, decision‐making units, and the innovation itself, such as an advanced organizational progression of corporate sustainability, senior leadership support of NII, design expertise within innovation teams, flexible innovation management processes, and collaboration with outside enabling stakeholders. NII should be viewed as a longer‐term investment in developing organizational sustainability culture rather than a one‐off approach to innovation. [ABSTRACT FROM AUTHOR]

Aim and Objectives: Toothbrushing is one of the most important factors in controlling plaque accumulation and dental caries. There are vast varieties of toothbrushes available in the market. This study was designed to evaluate the effectiveness of novel chewable toothbrushes as compared to manual toothbrushes in plaque removal among 10-12-year-old children. Materials and Methods: This randomized controlled trial was conducted on 40 healthy children aged between 10 and 12 years of age who were randomly assigned to either of the groups: Group I--Chewable Toothbrushes and Group II--Manual Toothbrushes. Following oral prophylaxis, baseline records of oral hygiene indices (Simplified oral hygiene index (OHI-S) in indexed teeth and Turesky modification of Quigley Hein plaque index (TMQHI) were taken. Baseline Saliva samples were collected and sent for Streptococcus mutans counts. Children were then instructed to use their respective toothbrush twice daily for a week. Oral hygiene indices and S. mutans counts were repeated after 1 week. Results: Differences in pre-brushing and post-brushing plaque scores and salivary S. mutans counts were statistically significant when compared using paired-sample t test and independent-sample t test. There was a significant reduction in salivary S. mutans counts after using both chewable and manual toothbrushes. However, there was no statistically significant difference between the two groups (P = 0.08). Conclusion: Chewable toothbrushes are equally effective in plaque control when compared to manual toothbrushes. These can be a reliable alternative for children who lack manual dexterity. [ABSTRACT FROM AUTHOR]

Purpose: The presented study pinpoints transformation of business models of small and medium enterprises (SMEs) in the food and beverage sector depending on their sustainability strategy. This paper makes a novel contribution to understanding various instruments of sustainability implementation in SMEs' business models operating in the food and beverage industry of well-developed Western European countries versus less-developed Central–Eastern European countries. Design/methodology/approach: The empirical basis is a survey of 770 European SMEs, of which 369 operate in Western European countries (including Great Britain, Germany and Spain) and 401 in Central and Eastern Europe (including Poland, Croatia and Russia). The nonparametric U Mann–Whitney test was used to examine the significance of the differences between the two groups of companies. Findings: The study empirically confirmed that despite self-declared lack of skills and knowledge in managerial impacts of sustainability, it shapes business models of SME in both country groups in food and drink industry. At the same time, the motivation grounds for business models transformation toward sustainable models vary between mostly economic factors in Eastern Europe and social and cultural factors in Western Europe. The economic factor is formed due to smaller integration into social investments at the SME-level Eastern European countries, while Western European SMEs invest more in a variety of sustainability supporting instruments (R&D, new equipment). Originality/value: This comparative study is the novel empirical research study on the implementation of sustainability into business models of food and beverage SMEs operating in two groups of Western and Central–Eastern European countries, which has not been previously observed in such a setting. [ABSTRACT FROM AUTHOR]

The article presents a 65 nm technology implementation of a low-power artificial spiking neuron intellectual property (IP) core. The concept of the circuit is based on modeling the mechanism of a perikaryon membrane and the propagation of the action potential in an axon. Nerve impulses are generated using a current-controlled oscillator. Thanks to this oscillator, the circuit is implemented exclusively using metal-oxide semiconductor transistors, with the omission of capacitors. The main advantage of the presented implementation is the possibility of implementing the IP-core using nanometer digital complementary metal-oxide semiconductor technologies with the possibility of placing it within a common substrate with a digital processor. The circuit operates in weak-inversion mode with a 0.3 V power supply and does not require additional polarization voltages. The maximum frequency of impulse generation equals 2.5 kHz. The paper describes two operating modes of the circuit: a cortical mode with power consumption of 60 pW and a processing mode with power consumption of 52.2 pW. The power reduction was obtained using a circuit structure in which the power supply current consumption is reduced with the moment the circuit starts processing. The article also contains results of a process–voltage–temperature analysis. [ABSTRACT FROM AUTHOR]