Exploring the lived and coping experiences of patients with kidney failure undergoing haemodialysis in Malaysian private hospitals.

Background: Chronic kidney disease is associated with structural and functional abnormalities in the kidney caused by a range of different aetiologies. Purpose: The study's purpose was to explore the lived and coping experiences of patients with kidney failure undergoing haemodialysis in three private hospitals in Malaysia. Methods: Applying an interpretative phenomenological analysis using a hermeneutic phenomenological design to derive common meaning from participants lived and coping experiences. In the study, data were collected using a semi-structured interview guide from 15 purposefully sampled patients with kidney failure. Data were analysed using the interpretative phenomenological analysis principles. Results: Patients with kidney failure reported emotional distress, life limitations, financial burdens, knowledge deficits and varying perceptions of the haemodialysis treatment. Body image changes, financial assistance, social support and hope were coping strategies used by patients with kidney failure. It was identified that patients with kidney failure used unique coping strategies such as applying perfume and using clothes to conceal the impact of haemodialysis on their bodies, which is not comprehensively discussed in published literature. Conclusion: Nurses who deliver care to patients with kidney failure should focus on mitigating emotional distress, increasing knowledge related to kidney failure and improving perception of the haemodialysis treatment. Delivering and providing social support are indispensable nursing roles to help patients cope with haemodialysis treatment.

Exploring pathogenic pathways in carpal tunnel syndrome: sterile inflammation and oxidative stress.

OBJECTIVES: The main objective of the current study was to find the association between oxidative stress, inflammatory markers, and electrophysiological profile with symptom severity in patients of carpal tunnel syndrome (CTS). METHODS: Thirty-two carpal tunnel syndrome patients and 32 controls were included in the study. Boston CTS questionnaire along with plasma oxidative stress markers including superoxide dismutase, malondialdehyde, and nitric oxide and inflammatory markers including IL-6 and TNF-α were compared with the electrophysiological parameters derived from nerve conduction studies. Statistical significance of the levels between groups was calculated using unpaired-t test after checking for normality with D'Agostino & Pearson omnibus normality test. RESULTS: We found that the median nerve conduction velocity was prolonged, amplitude was decreased, while the levels of oxidative stress markers like malondialdehyde (MDA), superoxidase dismutase (SOD), and nitric oxide (NO) were increased in CTS patients compared to controls. Inflammatory markers like interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) were also increased in CTS patients. We found that plasma SOD and TNF-α correlated well with the median motor amplitude. There was no other significant correlation between oxidative stress markers and inflammatory markers with nerve conduction studies or disease severity. Patients with mild disease also showed lesser levels of SOD, NO, IL-6, and TNF-α markers than patients with severe disease. CONCLUSIONS: CTS is probably a disease of sterile inflammation and disbalance of oxidative stress, with higher inflammatory and oxidative stress markers pointing to a more severe disease.

Factors affecting turnover intention of Nigerian employees: The moderation effect of organizational commitment.

Examining turnover as a noteworthy concern for businesses irrespective of their scale, this research delves into the factors influencing the inclination of employees in small and medium-sized enterprises to depart from their current workplaces. Additionally, the study explores how organizational commitment moderates the connections between attitude, subjective norms, perceived behavioral control, and intentions to leave. Methodology: Six hypotheses were formulated regarding the links between the components of the initial Theory of Planned Behavior and organizational commitment. Results: The outcomes from the partial least squares structural equation modeling indicated that the three primary predictors of the Theory of Planned Behavior have a substantial impact on turnover intention, with perceived behavioral control exerting the strongest influence. Additionally, the findings highlighted that the relationship between the Theory of Planned Behavior constructs and turnover intention is moderated by organizational commitment. Practical Implications and Originality: In this research, an expanded rendition of the Theory of Planned Behavior was employed to bring novel insights into the realm of organizational commitment among workers in small and medium-sized enterprises.

Interdigitated impedimetric-based Maackia amurensis lectin biosensor for prostate cancer biomarker.

Highly specific detection of tumor-associated biomarkers remains a challenge in the diagnosis of prostate cancer. In this research, Maackia amurensis (MAA) was used as a recognition element in the functionalization of an electrochemical impedance-spectroscopy biosensor without a label to identify cancer-associated aberrant glycosylation prostate-specific antigen (PSA). The lectin was immobilized on gold-interdigitated microelectrodes. Furthermore, the biosensor's impedance response was used to assess the establishment of a complex binding between MAA and PSA-containing glycans. With a small sample volume, the functionalized interdigitated impedimetric-based (IIB) biosensor exhibited high sensitivity, rapid response, and repeatability. PSA glycoprotein detection was performed by measuring electron transfer resistance values within a concentration range 0.01-100 ng/mL, with a detection limit of 3.574 pg/mL. In this study, the ability of MAA to preferentially recognize α2,3-linked sialic acid in serum PSA was proven, suggesting a potential platform for the development of lectin-based, miniaturized, and cost effective IIB biosensors for future disease detection.

The Role of Phytochemicals in Cancer Prevention: A Review with Emphasis on Baicalein, Fisetin, and Biochanin A.

Cancer is a disease in which repeated rounds of mutations cause uncontrolled growth of cells, which prospers at the expense of their neighbor cells and then eventually leads to the destruction of the whole cellular community. Chemopreventive drugs either prevent DNA damage, which results in malignancy, or they stop or reverse the division of premalignant cells with DNA damage, which inhibits the growth of cancer. There is an obvious need for an alternate strategy given the ongoing rise in cancer incidence, the ineffectiveness of traditional chemotherapies to control cancer, and the excessive toxicity of chemotherapies. From antiquity to date, the saga of the usage of plants as medicine has been the mainstay among people worldwide. In recent years, extensive studies have been conducted on medicinal plants, spices, and nutraceuticals, as these have gained much popularity in reducing the risk of several cancer types in humans. Extensive studies on cell culture systems and animal models have demonstrated that various medicinal plants and nutraceuticals from various natural resources and their products, such as major polyphenolic constituents, flavones, flavonoids, antioxidants, etc, provide considerable protection against many cancer types. As shown in the literatures, the major aim of studies conducted is to develop preventive/therapeutic agents which can induce apoptosis in cancer cells without affecting normal cells. Projects are going on worldwide to find better ways to eradicate the disease. The study of phytomedicines has shed new light on this topic as research to date has proven that they have antiproliferative and apoptotic capabilities that will aid in the development of novel cancer prevention options. Dietary substances, such as Baicalein, Fisetin, and Biochanin A have shown that they have an inhibitory effect on cancer cells, suggesting that they may work as chemopreventive agents. This review discusses the chemopreventive and anticancer mechanisms of such reported natural compounds.

Silicon Self-Switching Diode (SSD) as a Full-Wave Bridge Rectifier in 5G Networks Frequencies.

The rapid growth of wireless technology has improved the network's technology from 4G to 5G, with sub-6 GHz being the centre of attention as the primary communication spectrum band. To effectively benefit this exclusive network, the improvement in the mm-wave detection of this range is crucial. In this work, a silicon self-switching device (SSD) based full-wave bridge rectifier was proposed as a candidate for a usable RF-DC converter in this frequency range. SSD has a similar operation to a conventional pn junction diode, but with advantages in fabrication simplicity where it does not require doping and junctions. The optimized structure of the SSD was cascaded and arranged to create a functional full-wave bridge rectifier with a quadratic relationship between the input voltage and outputs current. AC transient analysis and theoretical calculation performed on the full-wave rectifier shows an estimated cut-off frequency at ~12 GHz, with calculated responsivity and noise equivalent power of 1956.72 V/W and 2.3753 pW/Hz1/2, respectively. These results show the capability of silicon SSD to function as a full-wave bridge rectifier and is a potential candidate for RF-DC conversion in the targeted 5G frequency band and can be exploited for future energy harvesting application.

Pathways to Positive Youth Development in Malaysian Undergraduate Co-curricular Programs: A Moderated Mediation Model of Youth Voice and Psychological Hardiness.

Youth voice is gaining more attention globally as a core feature of program quality within positive youth development programs. Few studies have examined the relationship between youth voice and positive youth development in high power-distance cultures, however, where young people often face psychological barriers to exercising decision-making in their work with program adults. Research is needed on the psychological mechanisms that might help youth thrive within settings that are less structurally and psychologically supportive of youth voice. Drawing on bioecological systems and hardiness theories, this quantitative correlational study evaluates the moderating effect of psychological hardiness on the relationship between youth voice, the mediators of program safety and engagement, and the 6 C's of positive youth development. A moderated mediation model was tested among 436 first-year undergraduate co-curricular program participants from public universities in Malaysia (M = 21.192 years, SD = 1.191 years; 65.6% female). Youth voice positively predicted positive youth development; the relationship was partially mediated by program engagement, but not safety. The mediated pathway through program engagement was more predictive for hardier youth. By combining programmatic and individual psychological factors into the hypothesized model, this research identifies the potential importance of hardiness on the practice of youth voice for young adults in high power distance cultures. The findings highlight the need to identify other individual and programmatic factors that may contribute to the development of positive youth development in diverse cultural settings.

Fabrication of Silicon Nanowire Sensors for Highly Sensitive pH and DNA Hybridization Detection.

A highly sensitive silicon nanowire (SiNW)-based sensor device was developed using electron beam lithography integrated with complementary metal oxide semiconductor (CMOS) technology. The top-down fabrication approach enables the rapid fabrication of device miniaturization with uniform and strictly controlled geometric and surface properties. This study demonstrates that SiNW devices are well-aligned with different widths and numbers for pH sensing. The device consists of a single nanowire with 60 nm width, exhibiting an ideal pH responsivity (18.26 × 106 Ω/pH), with a good linear relation between the electrical response and a pH level range of 4-10. The optimized SiNW device is employed to detect specific single-stranded deoxyribonucleic acid (ssDNA) molecules. To use the sensing area, the sensor surface was chemically modified using (3-aminopropyl) triethoxysilane and glutaraldehyde, yielding covalently linked nanowire ssDNA adducts. Detection of hybridized DNA works by detecting the changes in the electrical current of the ssDNA-functionalized SiNW sensor, interacting with the targeted ssDNA in a label-free way. The developed biosensor shows selectivity for the complementary target ssDNA with linear detection ranging from 1.0 × 10-12 M to 1.0 × 10-7 M and an attained detection limit of 4.131 × 10-13 M. This indicates that the use of SiNW devices is a promising approach for the applications of ion detection and biomolecules sensing and could serve as a novel biosensor for future biomedical diagnosis.

Analysis on International Competitiveness of Service Trade in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Using the Entropy and Gray Correlation Methods.

Based on the analysis and measurement of the overall situation, import and export structure and international competitiveness of the various sectors of service trade in the Guangdong-Hong Kong-Macao Greater Bay Area, with the help of MATLAB and Gray System Modeling software, the synergy degree model was established to quantitatively analyze the synergy level of service trade in the Greater Bay Area with the help of grey correlation analysis method and entropy weight method. The results show that the overall development trend of service trade in the Guangdong-Hong Kong-Macao Greater Bay Area is good. The service trade industries in different regions are highly complementary and have a high degree of correlation. The potential for the coordinated development of internal service trade is excellent, and the overall situation of service trade in the Greater Bay Area is in a stage of transition from a moderate level of synergy to a high level of synergy. The Greater Bay Area can achieve industrial synergy by accelerating industrial integration and green transformation, establishing a coordinated development mechanism, sharing market platform, strengthening personnel security, and further enhancing the international competitiveness of service trade. The established model better reflects the current coordination of service trade in the Guangdong-Hong Kong-Macao Greater Bay Area and has good applicability. In the future, more economic, technological, geographic, and policy data and information can be comprehensively used to study the spatial pattern, evolution rules, and mechanisms of coordinated development in the broader area.

Glycosylated biomarker sensors: advancements in prostate cancer diagnosis.

Prostate cancer is currently diagnosed using the conventional gold standard methods using prostate-specific antigen (PSA) as the selective biomarker. However, lack of precision in PSA screening has resulted in needless biopsies and delays the treatment of potentially fatal prostate cancer. Thus, identification of glycans as novel biomarkers for the early detection of prostate cancer has attracted considerable attention due to their reliable diagnostic platform compared with the current PSA systems. Therefore, biosensing technologies that provide point-of-care diagnostics have demonstrated the ability to detect various analytes, including glycosylated micro- and macro-molecules, thereby enabling versatile detection methodologies. This highlight article discusses recent advances in the biosensor-based detection of prostate cancer glycan biomarkers and the innovative strategies for the conjugation of nanomaterials adapted to biosensing platforms. Finally, the article is concluded with prospects and challenges of prostate cancer biosensors and recommendations to overcome the issues associated with prostate cancer diagnosis.

Impact of Environmental Indicators on the COVID-19 Pandemic in Delhi, India.

Currently, there is a massive debate on whether meteorological and air quality parameters play a crucial role in the transmission of COVID-19 across the globe. With this background, this study aims to evaluate the impact of air pollutants (PM2.5, PM10, CO, NO, NO2, and O3) and meteorological parameters (temperature, humidity, wind speed, and rainfall) on the spread and mortality due to the COVID-19 outbreak in Delhi from 14 Mar 2020 to 3 May 2021. The Spearman's rank correlation method employed on secondary data shows a significant correlation between the COVID-19 incidences and the PM2.5, PM10, CO, NO, NO2, and O3 concentrations. Amongst the four meteorological parameters, temperature is strongly correlated with COVID-19 infections and deaths during the three phases, i.e., pre-lockdown (14 March 2020 to 24 March 2020) (r = 0.79), lockdown (25 March 2020 to 31 May 2020) (r = 0.87), and unlock (1 June 2020 to 3 May 2021) (r = -0.75), explaining the variability of about 20-30% in the lockdown period and 18-19% in the unlock period. NO2 explained the maximum variability of 10% and 7% in the total confirmed cases and deaths among the air pollutants, respectively. A generalized linear model could explain 80% and 71% of the variability in confirmed cases and deaths during the lockdown and 82% and 81% variability in the unlock phase, respectively. These findings suggest that these factors may contribute to the transmission of the COVID-19 and its associated deaths. The study results would enhance the ongoing research related to the influence of environmental factors. They would be helpful for policymakers in managing the outbreak of COVID-19 in Delhi, India.

Postharvest quality assessment of apple during storage at ambient temperature.

In this study, the physical and chemical quality attributes of apples were measured experimentally during the storage after harvesting, using well-defined procedures and techniques. Overall quality index (OQi) models were formulated in terms of measured quality attributes. Firmness (F) and total soluble solids (TSS) varied from 11.88 ± 0.25 to 7.68 ± 0.24 N and 14.1 ± 0.1 to 12.7 ± 0.1 % Brix, respectively, whereas acidity and density varied from 0.163 ± 0.003 to 0.081 ± 0.001 % and 0.995 ± 0.003 to 0.951 ± 0.004 gm/cm3, respectively. The gloss values at 45° and 60° angles of incidence were found to be in the range of 7.9 ± 0.2 to 4.1 ± 0.3 and 6.8 ± 0.1 to 2.5 ± 0.3, respectively whereas, the Hunter color values L, a, b were found to be in the range of 51.75 ± 1.33 to 57.01 ± 0.98, 24.20 ± 0.86 to 30.12 ± 1.13, and 19.53 ± 1.61 to 22.96 ± 1.12, respectively. Formulated models were validated with the sensory scores. OQi predicted by the Model ML2 was found to be in consonance with the variation in the sensory overall quality scores. The OQi, as per the model ML2, was estimated as the ratio of the product of the constant C (265.5), acidity (A), and firmness (F) to the mod of the product of Hunter color values a and b. Finally, the predicted values of OQi were correlated with the measured quality parameters to check the possibility of predicting OQi non-destructively by using any one of those measured attributes during the storage.

Impedimetric cardiac biomarker determination in serum mediated by epoxy and hydroxyl of reduced graphene oxide on gold array microelectrodes.

A label-free chemical bonding strategy mediated by reduced graphene oxide (rGO) basal plane functional groups has been developed for cardiac Troponin I (cTnI) detection. Four different chemical strategies on respective electrode sensing surface were precedingly examined using electrochemical impedance spectroscopy. The impedimetric assessment was carried out by sweeping frequency at the range 0.1-500 kHz perturbated at a small amplitude of AC voltage (25 mV). The chemical strategy-4 denoted as S-4 shows a significant analytical performance on cTnI detection in spiked buffer and human serum, whereby the pre-mixture of rGO and (3-Aminopropyl)triethoxysilane (APTES) creates a large number of amine sites (-NH2), which significantly enhanced the antibody immobilization without excessive functionalization. The as-fabricated immunosensor exhibited an ultra-low limit of detection of 6.3 ag mL-1 and the lowest antigen concentration measured was at 10 ag mL-1. The immunosensor showed a linear and wide range of cTnI detection (10 ag mL-1-100 ng mL-1) in human serum with a regression coefficient of 0.9716, rapid detection (5 min of binding time), and stable and highly reproducible bioelectrode response with RSD < 5%. Hence, the demonstrated S-4 strategy is highly recommended for other downstream biosensors applications.

Short-term forecasting of the COVID-19 outbreak in India.

As the outbreak of coronavirus disease 2019 (COVID-19) is rapidly spreading in different parts of India, a reliable forecast for the cumulative confirmed cases and the number of deaths can be helpful for policymakers in making the decisions for utilizing available resources in the country. Recently, various mathematical models have been used to predict the outbreak of COVID-19 worldwide and also in India. In this article we use exponential, logistic, Gompertz growth and autoregressive integrated moving average (ARIMA) models to predict the spread of COVID-19 in India after the announcement of various unlock phases. The mean absolute percentage error and root mean square error comparative measures were used to check the goodness-of-fit of the growth models and Akaike information criterion for ARIMA model selection. Using COVID-19 pandemic data up to 20 December 2020 from India and its five most affected states (Maharashtra, Karnataka, Andhra Pradesh, Tamil Nadu and Kerala), we report 15-days-ahead forecasts for cumulative confirmed cases and the number of deaths. Based on available data, we found that the ARIMA model is the best-fitting model for COVID-19 cases in India and its most affected states.

Influence of coal ash on the concrete properties and its performance under sulphate and chloride conditions.

This study investigated the influence of coal bottom ash (CBA) on the concrete properties and evaluate the effects of combined exposure of sulphate and chloride conditions on the concrete containing CBA. During concrete mixing, cement was replaced with CBA by 10% of cement weight. Initially, concrete samples were kept in normal water for 28 days. Next, the specimens were moved to a combined solution of 5% sodium sulphate (Na2SO4) and 5% sodium chloride (NaCl) solution for a further 28 to 180 days. The experimental findings demonstrated that the concrete containing 10% CBA (M2) gives 12% higher compressive strength than the water cured normal concrete (M1). However, when it was exposed to a solution of 5% Na2SO4 and 5% NaCl, gives 0.2% greater compressive strength with reference to M1. The presence of 10% CBA decreases the chloride penetration and drying shrinkage around 33.6% and 29.2% respectively at 180 days. Hence, this study declared 10% CBA as optimum that can be used for future research.

Coping Strategies of Patients with End Stage Kidney Disease on Hemodialysis: A Systematic Review.

The purpose of this literature review was to explore the qualitative evidence on coping strategies used by patients with end stage kidney disease (ESKD) to manage the challenges and outcomes associated with the condition. A systematic review design following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines was used, and a thematic analysis was used to analyze the data. Four themes were identified from the 14 selected studies: external support, emotion management strategies, reliance on faith or spirituality, and self-care practices. Implications of these findings are discussed. Further primary qualitative studies using interviews and focus groups are needed to gain additional in-depth evidence of ESKD-related coping strategies.

Antiproliferative Activity of Cissus quadrangularis L. Extract Against Human Cervical Cancer Cells: In Vitro and In Silico Analysis.

BACKGROUND: Cervical cancer is the second leading cause of cancer in women, which necessitates safe and potential therapeutic agents. OBJECTIVE: This study was designed to investigate the antiproliferative effect of ethanolic extract of Cissus quadrangularis L. (CQ) against human cervical adenocarcinoma HeLa cell line and in silico analysis of selected active agents against apoptosis executioner enzyme caspase-3. METHODS: Cell viability was analyzed in HeLa cells at different concentrations (25-300 µg/ml) of CQ extract. Reactive oxygen species (ROS) generation, cellular apoptosis, cell cycle analysis and caspases-3 activation were evaluated. In silico, structure-based virtual screening analysis was carried out using AutoDock Vina and iGEMDOCK. RESULTS: Cell viability of HeLa cells was reduced significantly (p < 0.05) in a dose-dependent manner, however, CQ extract showed non-toxic to normal kidney epithelial NRK-52E cells. CQ extract induced the intracellular ROS level, nuclear condensation and reduced the mitochondrial membrane potential (MMP) with the induction of annexin V-FITC positive cells. CQ extract arrested cells in G0/G1 and G2/M checkpoints and activated caspase-3 activity significantly in HeLa cells. The molecular docking study showed a strong binding affinity of CQ phytocomponents against the caspase-3 (PDB ID: 1GFW) protein of human apoptosis. PASS analyses of selected active components using Lipinski's Rule of five showed promising results. Further, drug-likeness and toxicity assessment using OSIRIS Data Warrior V5.2.1 software exhibited the feasibility of phytocomponents as drug candidates with no predicted toxicity. CONCLUSION: This study suggested that active constituents in CQ extract can be considered as potential chemotherapeutic candidates in the management of cervical cancer.

Estimation of common location parameter of several heterogeneous exponential populations based on generalized order statistics.

In this article, several independent populations following exponential distribution with common location parameter and unknown and unequal scale parameters are considered. From these populations, several independent samples of generalized order statistics (gos) are drawn. Under the setup of gos, the problem of estimation of common location parameter is discussed and various estimators of common location parameter are derived. The authors obtained maximum likelihood estimator (MLE), modified MLE and uniformly minimum variance unbiased estimator of common location parameter. Furthermore, under scaled-squared error loss function, a general inadmissibility result of invariant estimator is proposed. The derived results are further reduced for upper record values which is a special case of gos. Finally, simulation study and real life example are reported to show the performances of various competing estimators in terms of percentage risk improvement.

Characterisation at the Bonding Zone between Fly Ash Based Geopolymer Repair Materials (GRM) and Ordinary Portland Cement Concrete (OPCC).

In recent years, research and development of geopolymers has gained significant interest in the fields of repairs and restoration. This paper investigates the application of a geopolymer as a repair material by implementation of high-calcium fly ash (FA) as a main precursor, activated by a sodium hydroxide and sodium silicate solution. Three methods of concrete substrate surface preparation were cast and patched: as-cast against ordinary Portland cement concrete (OPCC), with drilled holes, wire-brushed, and left as-cast against the OPCC grade 30. This study indicated that FA-based geopolymer repair materials (GRMs) possessed very high bonding strength at early stages and that the behavior was not affected significantly by high surface treatment roughness. In addition, the investigations using scanning electron microscopy (SEM) and energy-dispersive X-ray (EDX) spectroscopy have revealed that the geopolymer repair material became chemically bonded to the OPC concrete substrate, due to the formation of a C-A-S-H gel. Fundamentally, the geopolymer network is composed of tetrahedral anions (SiO4)4- and (AlO4)5- sharing the oxygen, which requires positive ions such as Na+, K+, Li+, Ca2+, Na+, Ba2+, NH4+, and H3O+. The availability of calcium hydroxide (Ca(OH)2) at the surface of the OPCC substrate, which was rich in calcium ions (Ca2+), reacted with the geopolymer; this compensated the electron vacancies of the framework cavities at the bonding zone between the GRM and the OPCC substrate.