bluuebunny/crossref_metadata_2025 huggingface dataset:
The influence of socioeconomic factors on intervention and postoperative healing of venous ulcers: a prospective study
Authors: Blomgren Lena , Jansson Linda
Published: July 2024

Objective:

In previous studies, venous ulcers (VUs) have been found to occur more often in patients with lower socioeconomic status. The aim of this study was to explore if socioeconomic factors influence the delay of referral to a vascular service or the time to healing after superficial venous intervention.

Method:

In this prospective study, patients answered a questionnaire about the duration and recurrence of their VU, comorbidities, body mass index (BMI), smoking, alcohol, social and physical activities, ambulatory status, education, marital status, housing, perceived economic status and dependence on home care. Postoperative complications, VU healing and recurrence were noted one year after superficial venous intervention.

Results:

A total of 63 patients were included in this study (30 females and 33 males), with a mean age of 71.2 years (range: 37–92 years). Duration of the present VU in patients was: <3 months in 48%; 3–6 months in 27%; 6–12 months in 11%; and >12 months in 14%. Risk factors for delayed referral were recurrent VU (odds ratio (OR): 4.92; p=0.021); walking impairment (OR: 5.43; p=0.009) and dependence on home care (OR: 4.89: p=0.039) in a univariable analysis. The latter was the only significant finding in a multivariable analysis with socioeconomic risk factor (OR: 4.89; p=0.035). In 85% of patients, their VU healed without recurrence during one year follow-up. Healing took longer if the patients: were of older age (p=0.033); had a normal BMI (independent samples t-test, p=0.028); had a recurrent VU (OR: 5.00; p=0.049); or walking impairment (Fishers exact test, OR: 9.14; p=0.008), but no significant socioeconomic risk factors were found.

Conclusion:

In this study, socioeconomic factors were not important risk factors for delayed referral of VU patients to a vascular service or prolonged healing time after superficial venous intervention.

Declaration of interest:

This work was supported by the Scandinavian Research Foundation for Varicose Veins and other Venous Diseases (SFÅV) and by ALF funding from Region Örebro County. The authors have no conflicts of interest to declare.
Gastrointestinal tuberculosis: Diagnostic approaches for this uncommon pathology
Authors: Brown Lottie , Colwill Michael , Poullis Andrew
Published: July 2024

A case report entitled “Primary gastroduodenal tuberculosis presenting as gastric outlet obstruction” recently published in the World Journal of Clinical Cases presented a rare cause of gastric outlet obstruction and highlighted the atypical manner in which gastrointestinal tuberculosis (TB) can present. The literature with regards to this rare pathology is limited to case reports and case series with the largest being published using data from between 2003 and 2013. However, since then the diagnostic tools available have significantly changed with more modern and increasingly accurate tests now available. This editorial reviews the current state of the art with regards to diagnosis in gastrointestinal TB.
Essential role of postoperative follow-up in the management of clear cell sarcoma
Authors: Zhang Zi-Han , Guo Jin-Tao , Xie Ying , Sun Si-Yu
Published: July 2024

Clear cell sarcoma (CCS) is a rare melanocytic soft tissue sarcoma known for its propensity to metastasize to the lymph nodes and typically has an unfavorable prognosis. Currently, surgical resection is the primary treatment for localized CCS, while radiotherapy and chemotherapy are preferred for metastatic cases. The roles of adjuvant chemotherapy, radiotherapy, and lymph node dissection are controversial. Although immunotherapy has emerged as a promising avenue in CCS treatment research, there are no established clinical standards for postoperative follow-up. This editorial discusses a recent article by Liu et al , with a focus on current diagnostic modalities, treatment approaches, and the challenging prognosis associated with CCS. Our aim is to underscore the importance of long-term patient follow-up in CCS management.
Discharging patients home from the intensive care unit: A new trend
Authors: Hassan Esraa M , Jama Abbas B , Sharaf Ahmed , Shaikh Asim , El Labban Mohamad , Surani Salim , Khan Syed A
Published: July 2024

Discharging patients directly to home from the intensive care unit (ICU) is becoming a new trend. This review examines the feasibility, benefits, challenges, and considerations of directly discharging ICU patients. By analyzing available evidence and healthcare professionals' experiences, the review explores the potential impacts on patient outcomes and healthcare systems. The practice of direct discharge from the ICU presents both opportunities and complexities. While it can potentially reduce costs, enhance patient comfort, and mitigate complications linked to extended hospitalization, it necessitates meticulous patient selection and robust post-discharge support mechanisms. Implementing this strategy successfully mandates the availability of home-based care services and a careful assessment of the patient's readiness for the transition. Through critical evaluation of existing literature, this review underscores the significance of tailored patient selection criteria and comprehensive post-discharge support systems to ensure patient safety and optimal recovery. The insights provided contribute evidence-based recommendations for refining the direct discharge approach, fostering improved patient outcomes, heightened satisfaction, and streamlined healthcare processes. Ultimately, the review seeks to balance patient-centered care and effective resource utilization within ICU discharge strategies.
Establishment and performance analysis of a new multiplex detection method for influenza an and B virus antigen
Authors: Xia Cheng-Jing , Li Bao-Hua , Guo Yan-Ni , Zhou Xiao-He , Zhang Run-Ling , Niu Ying-No
Published: July 2024

BACKGROUND

Influenza A and B virus detection is pivotal in epidemiological surveillance and disease management. Rapid and accurate diagnostic techniques are crucial for timely clinical intervention and outbreak prevention. Quantum dot-encoded microspheres have been widely used in immunodetection. The integration of quantum dot-encoded microspheres with flow cytometry is a well-established technique that enables rapid analysis. Thus, establishing a multiplex detection method for influenza A and B virus antigens based on flow cytometry quantum dot microspheres will help in disease diagnosis.

AIM

To establish a codetection method of influenza A and B virus antigens based on flow cytometry quantum dot-encoded microsphere technology, which forms the foundation for the assays of multiple respiratory virus biomarkers.

METHODS

Different quantum dot-encoded microspheres were used to couple the monoclonal antibodies against influenza A and B. The known influenza A and B antigens were detected both separately and simultaneously on a flow cytometer, and the detection conditions were optimized to establish the influenza A and B antigen codetection method, which was utilized for their detection in clinical samples. The results were compared with the fluorescence quantitative polymerase chain reaction (PCR) method to validate the clinical performance of this method.

RESULTS

The limits of detection of this method were 26.1 and 10.7 pg/mL for influenza A and B antigens, respectively, which both ranged from 15.6 to 250000 pg/mL. In the clinical sample evaluation, the proposed method well correlated with the fluorescent quantitative PCR method, with positive, negative, and overall compliance rates of 57.4%, 100%, and 71.6%, respectively.

CONCLUSION

A multiplex assay for quantitative detection of influenza A and B virus antigens has been established, which is characterized by high sensitivity, good specificity, and a wide detection range and is promising for clinical applications.
Routing impact of architecture and damage in programmable photonic meshes
Authors: Vanden Kerchove Ferre , Colle Didier , Tavernier Wouter , Bogaerts Wim , Pickavet Mario
Published: July 2024

Programmable photonic integrated circuits (PPICs) emerge as a novel technology with an enormous potential for ground-breaking innovation. Different architectures are currently being considered that dictate how waveguides should be connected to realize a broadly usable circuit. We focus on the effect of varying connectivity architectures on the routing of light. Three types of uniform meshes are studied, and we introduce a newly developed mesh that is called ring-connected straight lines. We provide an analytical formula to calculate exact distances in these meshes and introduce several metrics relating to routing to compare these meshes. We show that hexagonal tiles are the most promising, but the ring-connected straight lines architecture has a use case as well. Besides this, the effect of defect couplers is also studied. We find that the effects of these failures vary greatly by type and severity on the routability of the mesh.
Topological edge states in a photonic Floquet insulator with unpaired Dirac cones
Authors: Zhong Hua , Kartashov Yaroslav V. , Li Yongdong , Li Ming , Zhang Yiqi
Published: July 2024

Topological insulators are most frequently constructed using lattices with specific degeneracies in their linear spectra, such as Dirac points. For a broad class of lattices, such as honeycomb ones, these points and associated Dirac cones generally appear in non-equivalent pairs. Simultaneous breakup of the time-reversal and inversion symmetry in systems based on such lattices may result in the formation of the unpaired Dirac cones in bulk spectrum, but the existence of topologically protected edge states in such structures remains an open problem. Here a photonic Floquet insulator on a honeycomb lattice with unpaired Dirac cones in its spectrum is introduced that can support unidirectional edge states appearing at the edge between two regions with opposite sublattice detuning. Topological properties of this system are characterized by the nonzero valley Chern number. Remarkably, edge states in this system can circumvent sharp corners without inter-valley scattering even though there is no total forbidden gap in the spectrum. Our results reveal unusual interplay between two different physical mechanisms of creation of topological edge states based on simultaneous breakup of different symmetries of the system.
Quantum dot fourth-harmonic colliding pulse mode-locked laser for high-power optical comb generation
Authors: Huang Jing-Zhi , Yang Bo , Chen Jia-Jian , Qin Jia-Le , Cai Xinlun , Yan Jie , Xiao Xi , Wang Zi-Hao , Wang Ting , Zhang Jian-Jun
Published: July 2024

Quantum-dot mode-locked lasers have advantages such as high temperature stability, large optical bandwidth, and low power consumption, which make them ideal optical comb sources, especially for wavelength-division multiplexing (WDM) telecommunications, and optical I/O applications. In this work, we demonstrate an O-band quantum dot colliding pulse mode-locked laser (QD-CPML) to generate optical frequency combs with 200 GHz spacing with maximum channels of 12 within 3 dB optical bandwidth. To achieve the high output power of individual comb lines, four channel conditions are implemented at central wavelength of 1310 nm for WDM transmission experiments. Each channel exhibits more than 10 dBm output power with 200 Gb/s PAM-4 and 270 Gb/s PAM-8 modulation capability via thin-film LiNbO3 Mach–Zehnder interferometer modulator without the requirement of any optical amplifications. This high-order QD-CPML is an ideal comb source for power-efficient optical interconnects and large bandwidth optical data transmission.
Load forecasting method based on CEEMDAN and TCN-LSTM
Authors: Heng Luo , Hao Cheng , Nan Liu Chen
Published: July 2024

Aiming at the problems of high stochasticity and volatility of power loads as well as the difficulty of accurate load forecasting, this paper proposes a power load forecasting method based on CEEMDAN (Completely Integrated Empirical Modal Decomposition) and TCN-LSTM (Temporal Convolutional Networks and Long-Short-Term Memory Networks). The method combines the decomposition of raw load data by CEEMDAN and the spatio-temporal modeling capability of TCN-LSTM model, aiming to improve the accuracy and stability of forecasting. First, the raw load data are decomposed into multiple linearly stable subsequences by CEEMDAN, and then the sample entropy is introduced to reorganize each subsequence. Then the reorganized sequences are used as inputs to the TCN-LSTM model to extract sequence features and perform training and prediction. The modeling prediction is carried out by selecting the electricity compliance data of New South Wales, Australia, and compared with the traditional prediction methods. The experimental results show that the algorithm proposed in this paper has higher accuracy and better prediction effect on load forecasting, which can provide a partial reference for electricity load forecasting methods.
Knowledge graph revision in the context of unknown knowledge
Authors: Wang Shuangmei , Sun Fengjie
Published: July 2024

The role of knowledge graph encompasses the representation, organization, retrieval, reasoning, and application of knowledge, providing a rich and robust cognitive foundation for artificial intelligence systems and applications. When we learn new things, find out that some old information was wrong, see changes and progress happening, and adopt new technology standards, we need to update knowledge graphs. However, in some environments, the initial knowledge cannot be known. For example, we cannot have access to the full code of a software, even if we purchased it. In such circumstances, is there a way to update a knowledge graph without prior knowledge? In this paper, We are investigating whether there is a method for this situation within the framework of Dalal revision operators. We first proved that finding the optimal solution in this environment is a strongly NP-complete problem. For this purpose, we proposed two algorithms: Flaccid_search and Tight_search, which have different conditions, and we have proved that both algorithms can find the desired results.
The influence of ESG practices on domestic value-added to exports during the period of technological change
Authors: Yue Sun , Li BingXiang
Published: July 2024

Sustainable development and raising the domestic value-added rate of exports (DVARE) have become essential priorities in the pursuit of high-quality economic growth. An econometric spatial model is developed in this research using data on Chinese enterprises spanning 2008 to 2019. According to a study, exports’ domestic value-added rate (DVAR) can be successfully increased using environmental, social, and governance (ESG) practices. Spatial spillover analysis demonstrates that adopting ESG practices boosts export DVAR both within and between regions. According to heterogeneity analysis, the sample’s overall increase in DVARE as a result of ESG practices is mostly attributable to the mix and processing trade organizations, the eastern area, and large firms. An examination of the underlying mechanisms shows that businesses that implement advanced technologies are able to reinforce the favorable impact of ESG practices on DVARE. This article gives evidence from real-world studies that show how ESG practices help boost Chinese exports and advance sustainable development. The findings hold significant implications for other developing nations as they make the transition towards a pattern of economic growth.
Patients and healthcare workers’ preferences for using smart lockers in accessing and dispensing chronic disease medication in Nigeria: Findings from a descriptive cross-sectional study
Authors: Gobir Ibrahim Bola , Agboola Samson , Nnadozie Havilah Onyinyechi , Adamu Helen , Sanni Fatimah Ohunene , Adamu Aisha , Bello Azeez Akanbi , Otubu Angmun Suzzy , Bazira Deus , Niyang Piring’ar Mercy
Published: July 2024

The use of smart locker technology has been beneficial for patients with chronic diseases who require regular medication and face challenges accessing healthcare facilities due to distance, time, or mobility issues. This study aimed to assess preferences for utilizing Smart Lockers in accessing and dispensing chronic disease medication among healthcare workers (HCWs) and patients in Nigeria. A descriptive cross-sectional survey was conducted between November 8th and December 4th, 2021, across secondary healthcare facilities in five states of Adamawa, Akwa Ibom, Cross River, Benue, and Niger. Among 1,133 participants included in the analysis, 405 were HCWs and 728 were patients with chronic illnesses. Descriptive statistics, including frequencies and percentages, were used to summarize the data, while chi-square tests were employed to assess significant differences between healthcare workers (HCWs) and patients. Results indicated a strong preference among both HCWs and patients for one-on-one counseling as the preferred method for orientating patients on using Smart Lockers, with 53.8% of HCWs and 58.1% of patients expressing this preference (p = 0.25). Additionally, there was a shared preference for hospitals or clinics as secure locations for Smart Lockers, with 68.9% of HCWs and 71.6% of patients preferring this option (p < 0.05). The majority of participants favored receiving notification of drug delivery via phone call, with 49.1% of HCWs and 48.8% of patients expressing this preference (p = 0.63). There was a significant difference in preferences for access hours, the majority (HCWs: 65.4% and patients: 52.6%) favored 24-hour access (p < 0.05). Participants identified patients with HIV within the age range of 18–40 as the most suitable population to benefit from using Smart Lockers for medication dispensing. These findings offer insights into healthcare policies aimed at enhancing medication access and adherence among patients with chronic diseases in Nigeria. The development of models for using smart lockers to dispense chronic disease medications to chronically ill persons in Nigeria and other populations is recommended.
A multivariable analysis to predict variations in hospital mortality using systems-based factors of healthcare delivery to inform improvements to healthcare design within the English NHS
Authors: Gardner Andrew J. , Kristensen Søren Rud
Published: July 2024

Over the last decade, the strain on the English National Health Service (NHS) has increased. This has been especially felt by acute hospital trusts where the volume of admissions has steadily increased. Patient outcomes, including inpatient mortality, vary between trusts. The extent to which these differences are explained by systems-based factors, and whether they are avoidable, is unclear. Few studies have investigated these relationships. A systems-based methodology recognises the complexity of influences on healthcare outcomes. Rather than clinical interventions alone, the resources supporting a patient’s treatment journey have near-equal importance. This paper first identifies suitable metrics of resource and demand within healthcare delivery from routinely collected, publicly available, hospital-level data. Then it proceeds to use univariate and multivariable linear regression to associate such systems-based factors with standardised mortality. Three sequential cross-sectional analyses were performed, spanning the last decade. The results of the univariate regression analyses show clear relationships between five out of the six selected predictor variables and standardised mortality. When these five predicators are included within a multivariable regression analysis, they reliably explain approximately 36% of the variation in standardised mortality between hospital trusts. Three factors are consistently statistically significant: the number of doctors per hospital bed, bed occupancy, and the percentage of patients who are placed in a bed within four hours after a decision to admit them. Of these, the number of doctors per bed had the strongest effect. Linear regression assumption testing and a robustness analysis indicate the observations have internal validity. However, our empirical strategy cannot determine causality and our findings should not be interpreted as established causal relationships. This study provides hypothesis-generating evidence of significant relationships between systems-based factors of healthcare delivery and standardised mortality. These have relevance to clinicians and policymakers alike. While identifying causal relationships between the predictors is left to the future, it establishes an important paradigm for further research.
Tumor immune microenvironment permissive to metastatic progression of ING4-deficient breast cancer
Authors: Tsutsumi Emily , Macy Anne M. , LoBello Janine , Hastings Karen T. , Kim Suwon
Published: July 2024

Deficiencies in the ING4 tumor suppressor are associated with advanced stage tumors and poor patient survival in cancer. ING4 was shown to inhibit NF-kB in several cancers. As NF-kB is a key mediator of immune response, the ING4/NF-kB axis is likely to manifest in tumor-immune modulation but has not been investigated. To characterize the tumor immune microenvironment associated with ING4-deficient tumors, three approaches were employed in this study: First, tissue microarrays composed of 246 primary breast tumors including 97 ING4-deficient tumors were evaluated for the presence of selective immune markers, CD68, CD4, CD8, and PD-1, using immunohistochemical staining. Second, an immune-competent mouse model of ING4-deficient breast cancer was devised utilizing CRISPR-mediated deletion of Ing4 in a Tp53 deletion-derived mammary tumor cell line; mammary tumors were evaluated for immune markers using flow cytometry. Lastly, the METABRIC gene expression dataset was evaluated for patient survival related to the immune markers associated with Ing4-deleted tumors. The results showed that CD68, CD4, CD8, or PD-1, was not significantly associated with ING4-deficient breast tumors, indicating no enrichment of macrophages, T cells, or exhausted T cell types. In mice, Ing4-deleted mammary tumors had a growth rate comparable to Ing4-intact tumors but showed increased tumor penetrance and metastasis. Immune marker analyses of Ing4-deleted tumors revealed a significant increase in tumor-associated macrophages (Gr-1loCD11b+F4/80+) and a decrease in granzyme B-positive (GzmB+) CD4+ T cells, indicating a suppressive and/or less tumoricidal immune microenvironment. The METABRIC data analyses showed that low expression of GZMB was significantly associated with poor patient survival, as was ING4-low expression, in the basal subtype of breast cancer. Patients with GZMB-low/ING4-low tumors had the worst survival outcomes (HR = 2.80, 95% CI 1.36–5.75, p = 0.0004), supportive of the idea that the GZMB-low immune environment contributes to ING4-deficient tumor progression. Collectively, the study results demonstrate that ING4-deficient tumors harbor a microenvironment that contributes to immune evasion and metastasis.
Effects of sub-lethal concentrations of lindane on histo-morphometric and physio-biochemical parameters of Labeo rohita
Authors: Afzal Gulnaz , Ali Hafiz Muhammad , Hussain Tariq , Hussain Shujaat , Ahmad Muhammad Zishan , Naseer Adeeba , Iqbal Rehana , Aslam Jawaria , Khan Ahrar , Elsadek Mohamed Farouk , Al-Munqedhi Bandar M. , Hussain Riaz
Published: July 2024

Lindane is a broad-spectrum insecticide widely used on fruits, vegetables, crops, livestock and on animal premises to control the insects and pests. The extensive use of pesticides and their residues in the soil and water typically join the food chain and thus accumulate in the body tissues of human and animals causing severe health effects. The study was designed to determine the toxicity effects of sub-lethal concentrations of lindane on hemato-biochemical profile and histo-pathological changes in Rohu (Labeo rohita). A significant increase in the absolute (p<0.05) and relative (p<0.05) weights was observed along with severe histo-pathological alterations in liver, kidneys, gills, heart and brain at 30μg/L and 45μg/L concentration of lindane. A significant (p<0.05) decrease in RBCs count, PCV and Hb concentration while a significant (p<0.05) increased leukocytes were observed by 30μg/L and 45μg/L concentrations of lindane at 45 and 60 days of the experiment. Serum total protein and albumin were significantly (p<0.05) decreased while hepatic and renal enzymes were significantly (p<0.05) increased due to 30μg/L and 45μg/L concentrations of lindane at days-45 and 60 of experiment compared to control group. The observations of thin blood smear indicated significantly increased number of erythrocytes having nuclear abnormalities in the fish exposed at 30μg/L and 45μg/L concentrations of lindane. ROS and TBARS were found to be significantly increased while CAT, SOD, POD and GSH were significantly decreased with an increase in the concentration and exposure time of lindane. The results showed that lindane causes oxidative stress and severe hematological, serum biochemical and histo-pathological alterations in the fish even at sub-lethal concentrations.
Comparison of Yamuna (India) and Mississippi River (United States of America) bacterial communities reveals greater diversity below the Yamunotri Glacier
Authors: Martinez Osvaldo , Bergen Silas R. , Gareis Jacob B.
Published: July 2024

The Yamuna River in India and the Mississippi River in the United States hold significant commercial, cultural, and ecological importance. This preliminary survey compares the bacterial communities sampled in surface waters at 11 sites (Yamuna headwaters, Mississippi headwaters, Yamuna River Yamunotri Town, Mississippi River at Winona, Tons River, Yamuna River at Paonta Sahib, Yamuna River Delhi-1, Yamuna River Delhi-2, Yamuna River before Sangam, Sangam, Ganga River before Sangam). Bacterial 16S rDNA analyses demonstrate dominance of Proteobacteria and Bacteroidetes phyla. Actinobacteria were also dominant at sites near Sangam in India and sites in Minnesota. A dominance of Epsilonbacteraeota were found in Delhi, India. Principal component analysis (PCA) using unique operational taxonomic units (OTUs) resulted in the identification of 3 groups that included the Yamuna River locations in Delhi (Delhi locations), Yamuna headwaters and Yamuna River at Yamunotri (Yamuna River locations below the Glacier) and Mississippi, Ganga, Tons, and other Yamuna River locations. Diversity indices were significantly higher at the Yamuna River locations below the Glacier (Simpson D = 0.986 and Shannon H = 5.06) as compared (p value <0.001) to the Delhi locations (D = 0.951 and H = 4.23) and as compared (p value < 0.001) to Mississippi, Ganga, Tons, and other Yamuna River locations (D = 0.943 and H = 3.96). To our knowledge, this is the first survey to compare Mississippi and Yamuna River bacterial communities. We demonstrate higher diversity in the bacterial communities below the Yamunotri glacier in India.
A novel proprioceptive rehabilitation program: A pilot randomized controlled trail as an approach to address proprioceptive deficits in patients with diabetic polyneuropathy
Authors: Malwanage Kavinda T. , Liyanage Esther , Weerasinghe Vajira , Antonypillai Charles , Nanayakkara Indumathie
Published: July 2024

Background

Diabetic polyneuropathy (DPN) is a notable microvascular complication of DM, affecting 16%-66% globally. DPN often leads to proprioceptive deficits in the lower limbs (LL), leading to impaired functional performance. However, evidence supporting proprioceptive rehabilitation programs (PRP) for DPN remains scarce.

Aims

This pilot study aims to evaluate the effectiveness of a novel 12-week PRP on LL static and dynamic proprioception and shed light on the potential benefits of PRP for DPN population.

Methods

Randomized Controlled Trail was conducted among 30 DPN patients (age 53.25±7.72 years, BMI 24.01±1.41 and DM duration 9.48±6.45 years), randomly allocated to intervention (n = 15) or control (n = 15) groups. The intervention group received PRP 3 times/week for 12 weeks. The control group received no exercise. Both groups received regular diabetic care. Static and dynamic proprioception of both LL were assessed at baseline, 6 weeks and 12 weeks. Position-reposition test was used to assess ankle joint position sense by obtaining difference between target and reproduced angles. Error in detecting knee angle and speed were obtained by performing Lower Limb Matching and Sense of Movement tests respectively to assess dynamic proprioception.

Results

Two-way ANOVA and paired comparisons revealed, no significant improvement in proprioceptive deficits at 6 weeks (p>0.05), but significant improvement was achieved at 12-weeks (p<0.05) in the intervention group. Mean errors in Pposition re-position(R:p<0.001, L;p<0.001) and Lower limb matching (R:p<0.001, L;p<0.001) tests reduced by 5° and 10° respectively, indicating a70% improvement in the intervention group. Error of detecting speed reduced only on right side by 0.041ms-1 accounting for a 42% improvement. No improvements were observed in the control group.

Conclusions

Novel 12-week PRP may yield a significant reduction in LL proprioceptive deficits among DPN patients. Future RCTs with larger samples should compare the effectiveness of this PRP compared with conventional rehabilitation programs.
Combination of computational techniques and RNAi reveal targets in Anopheles gambiae for malaria vector control
Authors: Adedeji Eunice O. , Beder Thomas , Damiani Claudia , Cappelli Alessia , Accoti Anastasia , Tapanelli Sofia , Ogunlana Olubanke O. , Fatumo Segun , Favia Guido , Koenig Rainer , Adebiyi Ezekiel
Published: July 2024

Increasing reports of insecticide resistance continue to hamper the gains of vector control strategies in curbing malaria transmission. This makes identifying new insecticide targets or alternative vector control strategies necessary. CLassifier of Essentiality AcRoss EukaRyote (CLEARER), a leave-one-organism-out cross-validation machine learning classifier for essential genes, was used to predict essential genes in Anopheles gambiae and selected predicted genes experimentally validated. The CLEARER algorithm was trained on six model organisms: Caenorhabditis elegans, Drosophila melanogaster, Homo sapiens, Mus musculus, Saccharomyces cerevisiae and Schizosaccharomyces pombe, and employed to identify essential genes in An. gambiae. Of the 10,426 genes in An. gambiae, 1,946 genes (18.7%) were predicted to be Cellular Essential Genes (CEGs), 1716 (16.5%) to be Organism Essential Genes (OEGs), and 852 genes (8.2%) to be essential as both OEGs and CEGs. RNA interference (RNAi) was used to validate the top three highly expressed non-ribosomal predictions as probable vector control targets, by determining the effect of these genes on the survival of An. gambiae G3 mosquitoes. In addition, the effect of knockdown of arginase (AGAP008783) on Plasmodium berghei infection in mosquitoes was evaluated, an enzyme we computationally inferred earlier to be essential based on chokepoint analysis. Arginase and the top three genes, AGAP007406 (Elongation factor 1-alpha, Elf1), AGAP002076 (Heat shock 70kDa protein 1/8, HSP), AGAP009441 (Elongation factor 2, Elf2), had knockdown efficiencies of 91%, 75%, 63%, and 61%, respectively. While knockdown of HSP or Elf2 significantly reduced longevity of the mosquitoes (p<0.0001) compared to control groups, Elf1 or arginase knockdown had no effect on survival. However, arginase knockdown significantly reduced P. berghei oocytes counts in the midgut of mosquitoes when compared to LacZ-injected controls. The study reveals HSP and Elf2 as important contributors to mosquito survival and arginase as important for parasite development, hence placing them as possible targets for vector control.
Hydration status in adults with metabolic disorders in relation to socioeconomic, lifestyle and health factors
Authors: Frąckiewicz Joanna , Ciecierska Anna , Białkowska Agnieszka , Drywień Małgorzata , Hamulka Jadwiga
Published: July 2024

Introduction

Adequate hydration is essential for maintaining the health and functionality of the human body. This study aimed to examine the association between selected socioeconomic, lifestyle, and health factors and the hydration status of adults with metabolic disorders by analyzing their urine osmolality.

Methods

The study involved 290 adults aged 18–70 years with metabolic disorders. Separate multivariate logistic regression models were conducted to evaluate the factors associated with urine osmolality in tertiles for women and men. Odds Ratios (OR) and 95% Confidence Intervals (95% CI) were calculated.

Results

In women, the following factors of urine osmolality were identified in 1st tertile: age (OR:1.04), physical activity (moderate/high vs. no/low; OR:0.38), and headaches (no vs. yes; OR:1.55), in 2nd tertile: physical activity (moderate/high vs. no/low; OR:2.46) and fatigue during the day (sometimes vs. never/very rarely; OR:0.45), and in 3rd tertile: age (OR:0.94), professional status (‘I work part-time/I study and I work’ vs. ‘I do not work/I study’; OR:0.27), fatigue during the day (very often vs. never/very rarely; OR:2.55), and headaches (no vs. yes; OR:0.44). In men, the following factors of urine osmolality were identified in 1st tertile: place of residence (city vs. village; OR:2.72) and health assessment (average vs. poor; OR:0.32).

Conclusion

Different factors affecting urine osmolality have been identified in women and men. These results highlight the need to implement studies to clarify the relationship between socioeconomic, lifestyle and health factors, and hydration status in adults with metabolic disorders.
Accessory respiratory muscles performance among people with spinal cord injury while singing songs with different musical parameters
Authors: Ramli Muhammad Imran , Hamzaid Nur Azah , Engkasan Julia Patrick , Usman Juliana , Salleh Marzelan , Hueh Wee Duen
Published: July 2024

People with spinal cord injury (SCI) experience respiratory dysfunctions which include hypersecretions, bronchospasm, and respiratory muscles weakness. Singing therapy has been implemented as part of respiratory muscle training (RMT) to improve their muscle strength. Singing different types and genres of songs may elicit specific recruitment of respiratory muscles, attributed to the variation of the songs’ characteristics including tempo, pitch, and rhythmic complexity. This study aims to determine the effect of singing songs with different characteristics on the accessory respiratory muscle performance among people with SCI. Thirteen male SCI participants of ASIA A and B (C4 –T11) were recruited. Respiratory muscle signals were retrieved by placing two mechanomyography (MMG) sensors on the sternocleidomastoid (SCM) and rectus abdominis (RA) muscles. Eight music experts categorized several songs into four categories based on their pitch, tempo, and rhythmic complexity. Each participant sang one song from each category. Findings showed statistically significant difference in RA and SCM responses among all categories (P < 0.01). The SCM muscle is most active while singing high pitch songs. While the RA is most active during slow tempo and easy rhythmic complexity. This shows that different accessory respiratory muscle is activated by people with SCI while singing songs with different characteristics. Clinicians could benefit from this knowledge while prescribing singing therapy or exercise among people with SCI in the future.
Rangewide occupancy of a flagship species, the Coastal California Gnatcatcher (Polioptila californica californica) in southern California: Habitat associations and recovery from wildfire
Authors: Kus Barbara E. , Preston Kristine L. , Houston Alexandra
Published: July 2024

The Coastal California Gnatcatcher (Polioptila californica californica), a federally threatened species, is a flagship species for regional conservation planning in southern California (USA). An inhabitant of coastal sage scrub vegetation, the gnatcatcher has declined in response to habitat loss and fragmentation, exacerbated by catastrophic wildfires. We documented the status of gnatcatchers throughout their California range and examined post-fire recovery of gnatcatchers and their habitat. We used GIS to develop a habitat suitability model for Coastal California Gnatcatchers using climate and topography covariates and selected over 700 sampling points in a spatially balanced manner. Bird and vegetation data were collected at each point between March and May in 2015 and 2016. Presence/absence of gnatcatchers was determined during three visits to points, using area searches within 150 x 150 m plots. We used an occupancy framework to generate Percent Area Occupied (PAO) by gnatcatchers, and analyzed PAO as a function of time since fire. At the regional scale in 2016, 23% of the points surveyed were occupied by gnatcatchers, reflecting the effect of massive wildfires in the last 15 years. Similarly, PAO in the post-fire subset of points was 24%, with the highest occupancy in unburned (last fire <2002) habitat. Positive predictors of occupancy included percent cover of California sagebrush (Artemisia californica), California buckwheat (Eriogonom fasciculatum), and sunflowers (Encelia spp., Bahiopsis laciniata), while negative predictors included laurel sumac (Malosma laurina) and total herbaceous cover; in particular, non-native grasses. Our findings indicate that recovery from wildfire may take decades, and provide information to speed up recovery through habitat restoration.
Efficiency of aerobic biodegradation of sugar beet distillery stillage under dissolved oxygen tension-controlled conditions
Authors: Lutosławski Krzysztof , Ryznar-Luty Agnieszka , Cibis Edmund
Published: July 2024

The efficiency of aerobic biodegradation of distillery wastewater using various microbial cultures is intricately linked to process conditions. The study aimed to examine the aerobic biodegradation by a Bacillus bacteria under controlled dissolved oxygen tension (DOT) conditions as a novel approach in the treatment of sugar beet distillery stillage. The processes were conducted in a 2-L Biostat®B stirred-tank reactor (STR), at a temperature of 36°C, with aeration of 1.0 L/(L·min), and uncontrolled pH of the medium (an initial pH of 8.0). Each experiment was performed at a different DOT setpoint: 75%, 65% and 55% saturation, controlled through stirrer rotational speed adjustments. The study showed that the DOT setpoint did not influence the process efficiency, determined by the pollutant load removal expressed as COD, BOD5 and TOC. In all three experiments, the obtained reduction values of these parameters were comparable, falling within the narrow ranges of 78.6–78.7%, 97.3–98.0% and 75.0–76.4%, respectively. However, the DOT setpoint did influence the rate of process biodegradation. The removal rate of the pollutant load expressed as COD, was the lowest when DOT was set at 55% (0.48 g O2/(L•h)), and the highest when DOT was set at 65% (0.55 g O2/(L•h)). For biogenic elements (nitrogen and phosphorus), a beneficial effect was observed at a low setpoint of controlled DOT during biodegradation. The maximum extent of removal of both total nitrogen (54%) and total phosphorus (67.8%) was achieved at the lowest DOT setpoint (55%). The findings suggest that conducting the batch aerobic process biodegradation of sugar beet stillage at a relatively low DOT setpoint in the medium might achieve high efficiency pollutant load removal and potentially lead to a reduction in the process cost.
Monitoring emerging pathogens using negative nucleic acid test results from endemic pathogens in pig populations: Application to porcine enteric coronaviruses
Authors: Serafini Poeta Silva Ana Paula , Arruda Cezar Guilherme , Sousa Magalhães Edison , Rupasinghe Kinath , Chandra Srijita , Silva Gustavo S. , Almeida Marcelo , Crim Bret , Burrough Eric , Gauger Phillip , Siepker Christopher , Mainenti Marta , Zeller Michael , Main Rodger G. , Thurn Mary , Fioravante Paulo , Corzo Cesar , Rovira Albert , Naikare Hemant , McGaughey Rob , Matias Ferreyra Franco , Retallick Jamie , Gebhardt Jordan , Pillatzki Angela , Greseth Jon , Kersey Darren , Clement Travis , Christopher-Hennings Jane , Prarat Melanie , Johnson Ashley , Summers Dennis , Bowen Craig , Hendrix Kenitra , Boyle Joseph , Lima Linhares Daniel Correia , Trevisan Giovani
Published: July 2024

This study evaluated the use of endemic enteric coronaviruses polymerase chain reaction (PCR)-negative testing results as an alternative approach to detect the emergence of animal health threats with similar clinical diseases presentation. This retrospective study, conducted in the United States, used PCR-negative testing results from porcine samples tested at six veterinary diagnostic laboratories. As a proof of concept, the database was first searched for transmissible gastroenteritis virus (TGEV) negative submissions between January 1st, 2010, through April 29th, 2013, when the first porcine epidemic diarrhea virus (PEDV) case was diagnosed. Secondly, TGEV- and PEDV-negative submissions were used to detect the porcine delta coronavirus (PDCoV) emergence in 2014. Lastly, encountered best detection algorithms were implemented to prospectively monitor the 2023 enteric coronavirus-negative submissions. Time series (weekly TGEV-negative counts) and Seasonal Autoregressive-Integrated Moving-Average (SARIMA) were used to control for outliers, trends, and seasonality. The SARIMA’s fitted and residuals were then subjected to anomaly detection algorithms (EARS, EWMA, CUSUM, Farrington) to identify alarms, defined as weeks of higher TGEV-negativity than what was predicted by models preceding the PEDV emergence. The best-performing detection algorithms had the lowest false alarms (number of alarms detected during the baseline) and highest time to detect (number of weeks between the first alarm and PEDV emergence). The best-performing detection algorithms were CUSUM, EWMA, and Farrington flexible using SARIMA fitted values, having a lower false alarm rate and identified alarms 4 to 17 weeks before PEDV and PDCoV emergences. No alarms were identified in the 2023 enteric negative testing results. The negative-based monitoring system functioned in the case of PEDV propagating epidemic and in the presence of a concurrent propagating epidemic with the PDCoV emergence. It demonstrated its applicability as an additional tool for diagnostic data monitoring of emergent pathogens having similar clinical disease as the monitored endemic pathogens.
Customer pressure and environmental stewardship: The moderator role of perceived benefit by managers
Authors: Liem Vo Tan , Hien Nguyen Ngoc
Published: July 2024

Nowadays, environmental issues and cleaner products are interest to many customers, considering whether to buy or continue using a product. This will affect the perception, attitude of upper managers in the process of strategic choices and operational management behavior. This study is based on the Upper Echelon Theory, research under the influence of customer pressure to attitude toward the environmental, decision choices for cleaner production strategies, implementation of environmental management accounting towards achieving green competitive advantage of Vietnamese manufacturing enterprises. In addition, the role of two moderator variables: (1) perceived benefit of cleaner production strategies and (2) perceived benefit of environmental management accounting in the research model is also considered. This study surveyed 234 CEOs of Vietnamese manufacturing enterprises. This study employed PLS-SEM, version 3 for data analysis. Results have shown that all relationships are statistically significant. Moderator variables have a statistically significant and positive impact in relationships in which they play a moderator role. This study helps CEOs realize the importance of producing products that are customer-oriented, environmentally friendly, and the implementation of environmental management accounting will have a strong impact on achieving a sustainable competitive advantage.
Determinants of the use of modern contraceptives among women of reproductive age group in Ethiopia: A multi-level mixed effects analysis
Authors: Gobena Molalign Gualu , Kassie Maru Zewdu
Published: July 2024

Introduction

Modern contraceptive methods are a scientifically effective method to control the fertility of reproductive-aged groups of people. The women’s use of contraceptive methods creates a birth gap and limits the number of their children. The main objective of this study is to identify the significant determinant of modern contraceptive use of reproductive-aged women in Ethiopia.

Methods

We used data from 2019 Ethiopian Mini Demographic and Health Survey. This data was multi-level, taking into account factors at the individual and community levels. In order to capture the multi-level structure of this data and make more reliable and broadly applicable conclusions about the variables influencing the use of modern contraceptives at the individual and community levels, we employed a two-level mixed-effects logistic regression model. In addition, we used cross-tabulation analysis to know the percentage of modern contraception users (reproductive-aged women) across their socio-economic, demographic, and health characteristics. A total of 8196 reproductive aged (15–49) women were included in this study.

Results

From a total of 8196 reproductive-aged women, 2495(30.4%) were using modern contraceptive method and the rest 5701(69.6%) did not use any modern contraceptive methods. Among 2495 contraceptive users, 1657 (67.3%) used injections and 533 (21.7%) used implants/Norplant. At a 5% level of significance, the result from the two-level binary logistic regression model revealed that the predictors; Age of women, education level, religion, wealth index, knowledge of modern contraception method, number of died children, number of living children, family size, total children ever born and contextual region have significant effect on the use of modern contraception method.

Conclusion

Reproductive-aged women in Ethiopia with more living children, residing in urban/agrarian region, younger, wealthier, married, and more educated, were more likely to be modern contraceptive users. The concerned bodies in Ethiopia should bring forward the intervention strategy and should expand the existed programs to improve the use of modern contraception methods among reproductive-aged women in Ethiopia. Especially, they should give special attention to reproductive-aged women of less income, resident in pastoralist region, less educated, unmarried, and haven’t living child.