bluuebunny/crossref_metadata_2025 huggingface dataset:
The Function Number Method: Generalization
Authors: YANDZA Marcel Julmard ONGOUMAKA , GOMAT Landry Jean Pierre
Published: November 2023

Many mathematical methods have been created to solve mathematical problems such as integral calculus, derivatives and differential equations. Among them, there is the Function Number Method (FNM). A Function Number is a real number which represents a variable function in a set. The calculus is done by the application of some properties detailed in the corps of this article. This real number, representing the function, can also be transformed to a variable function. By this way, many mathematical problems are solved easily. The FNM can be used for all orders of the derivatives. In the precedent publication on the FNM, the methodology presented was focused only on the resolution of the derivatives of the first and second orders. To solve the high orders of the derivatives of the functions with many variables, a general method is necessary. So, in this article, the generalization of the FNM is presented. The method will help mathematicians, physicists and many others scientists in their researches.
Thermodynamic Equilibrium State Prediction By Deep Learning Method
Authors: Okano Yu , Kaneshita Takeshi , Okuno Katsuki , Takemoto Shimpei , Okuno Yoshishige
Published: November 2023

The method of calculation of phase diagrams (CALPHAD) is a calculation method that searches for a state of providing minimal Gibbs energy as an equilibrium state. To perform a thermodynamic equilibrium calculation for a single material composition and to predict a phase diagram, we can complete the CALPHAD method calculation within a realistic time. However, screening many material compositions associated with predicting the corresponding phase diagrams takes much time. For alloy materials, for example, it would take 161 hours to calculate phase diagrams of all alloy compositions to screen 10,000 sets of explanatory variables, i.e., compositions and manufacturing conditions, since it takes 58 seconds to calculate each set. The present study aims to provide a calculation device, method, and program for quickly predicting the thermodynamic equilibrium state. We developed a deep learning model based on the Transformer architecture to achieve this objective, primarily used for various natural language processing tasks, such as machine translation, text summarization, question answering, and sentiment analysis. The encoder part of our developed model extracts the necessary features for phase diagram prediction from the inputted alloying elements. In contrast, the decoder part predicts a phase diagram for each temperature based on the results from the encoder. We calculated 800,000 species using the CALPHAD method and employed these data to train our developed model. Our trained model can calculate thermodynamic equilibrium states more than 100 times faster than the CALPHAD method and correctly reproduce the phase diagrams of ground truths. Based on the present result, we could invent a calculation device, a calculation method, and a calculation program for predicting the thermodynamic equilibrium state in a short time.
Symptoms of anxiety and depression and health-related quality of life in women with severe obesity and polycystic ovary syndrome and the effect of a one year weight loss intervention
Authors: Kataoka Josefin , Olsson Marie , Lindgren Eva , Larsson Ingrid , Schmidt Johanna , Benrick Anna , Stener-Victorin Elisabet
Published: November 2023

Background
Polycystic ovary syndrome (PCOS) is a common endocrine disorder among women, with more reported symptoms of anxiety, depression and lower health related quality of life (HRQoL). PCOS is associated with, and increases with obesity, which per se could lead to symptoms of anxiety and depression and lower HRQoL. First line treatment for PCOS is weight loss through life-style intervention. Studies on mental health and quality of life in women with PCOS and severe obesity are lacking. The aim of this study was to investigate symptoms of anxiety and depression and HRQoL in women with severe obesity with and without PCOS, and to define the effect of a one-year weight loss intervention.
Methods
In total 246 women with severe obesity with (n = 63), and without (n = 183) PCOS were included. Comprehensive Psychopathological Rating Scale Self-rating Scale for affective symptoms, and the generic short form-36 were used to assess symptoms of anxiety and depression and HRQoL. At one year, 72 women had completed a one-year weight loss intervention and were followed up with baseline data.
Results
There were no differences in symptoms of anxiety and depression and HRQoL between women with and without PCOS at baseline. Clinically relevant symptoms of anxiety were present in 71.3% (PCOS) respectively 65.6% (non-PCOS), and symptoms of depression were present in 56.4% (PCOS), respectively 52.2%, (non-PCOS). Significant weight reduction improved physical HRQoL for all women, but decreased symptoms of anxiety and depression only in women without PCOS.
Conclusions
In women with severe obesity, weight loss improves symptoms of anxiety and depression only in women without PCOS.
Trial registration number:
Clinical trial.gov: NCT01319162, March 18, 2011. Date of registration and enrolment of the first subject September 2011.
Study on the mechanism of action of probucol in the treatment of coronary artery disease based on network pharmacology and molecular docking technology
Authors: dan liangxing , Pan Ye , zhao Zunlan , feng Wenting , liu Zhihui , shi Weili , Wang Liuyi
Published: November 2023

Objective
The latest studies have shown that the combined use of aggressive lipid-lowering and inflammation-reducing therapies might reduce atherosclerotic risk. Probucol has hypolipidemic, antioxidative, and anti-inflammatory effects. Through network pharmacology and molecular docking, the core genes, biological function, and signalling pathways of Probucol in coronary artery disease/coronary heart disease were revealed.
Methods
Pharmacological targets of probucol were screened using the SuperPred, Similarity ensemble approach (SEA), and STITCH databases. Similarly, the pathological targets of CAD/CHD were obtained through the DisGeNET, National Center for Biotechnology Information (NCBI), and GeneCard databases. Then, all common targets of probucol against CAD/CHD were screened by an online platform. Seven core targets were obtained through six algorithms of the CytoHubba plugin of Cytoscape and the online platform Jvenn. Finally, the core genes were analysed by GO and KEGG enrichment analyses and molecular docking technology was utilized to verify the core gene prediction and further confirm the target and mechanism of probucol in CAD/CHD.
Results
By screening the targets of probucol and CAD/CHD, 121 pharmacological targets, 11403 pathological targets, and 84 common targets were obtained; furthermore, seven core targets were identified. These core targets were SCARB1, APOE, VCAM1, NF-кB, HIF1A, PTPN11 and SLC2A1. In addition, the enrichment analysis results indicated that probucol might treat CAD/CHD by regulating cholesterol imbalance and anti-inflammatory and antioxidant activities. The molecular docking results showed that probucol binds well to the core targets associated with CAD/CHD.
Conclusion
Probucol might be involved in regulating cholesterol imbalance and anti-inflammatory and antioxidant activities based on its regulation of SCARB1, APOE, VCAM1, NF-кB, HIF1A, PTPN11 and SLC2A1. Strategies targeting these biotargets may be used to treat CAD/CHD in future clinical practice.
DeepSipred: A deep-learning-based approach on siRNA inhibition prediction
Authors: Liu Bin , Huang Huiya , Liao Weixi , Pan Xiaoyong , Jin Cheng , Yuan Ye
Published: November 2023

Motivation: The use of exogenous small interfering RNAs (siRNAs) for gene silencing has become a widespread molecular tool for gene function study and new drug identification. Although the pathway of RNAi to mediate gene expression has been widely investigated, the selection of hyperfunctional siRNA with high inhibition remains challenging.
Results: In this study, we build a deep-learning-based approach on siRNA inhibition prediction, named DeepSipred. It combines features from sequence context, thermodynamic property, and other expert knowledge together to predict the inhibition more accurately than existing methods. The sequence features from siRNA and local target mRNA are generated via one-hot encoding and pretrained RNA-FM encoding. The convolution layers with multiple kernels in DeepSipred can detect various decisive motifs, which will determine the actual inhibition of siRNA. The thermodynamic features are calculated from Gibbs Free Energy. In addition, the expert knowledge includes those design criteria from previous studies. Benchmarked on large available public datasets, the 10-fold cross-validation results indicate that our predictor achieving the state-of-the-art performance.
Cytotoxic effect of DEBIO 1143 on Triple Negative Mouse Breast Cancer Cell Lines by Non-Apoptosis Death Mechanisms
Authors: Tuğrul Berrin , Alp Meral , Balcan Erdal
Published: November 2023

Background
Triple negative breast cancer (TNBC) is a lethal cancer lacking therapeutic targets. In this project, we aimed to investigate the cytotoxic effect of DEBIO 1143, a SMAC mimetic, on 4T1 and 4T1-HER2 mouse TNBC cell lines and the cell death pathway through which this effect is mediated.
Methods and results
MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) test was used to determine cell viability, flow cytometry analysis was performed to determine apoptosis, and MDC (monodansylcadaverine) was used to determine autophagic vesicles. In addition, LC3II, Beclin 1, RIP3 and cIAP1 proteins were analyzed by western blot. In both cell lines, it was determined that DEBIO 1143 IC50 doses caused predominantly non-apoptotic cell death in the 48-h drug-treated group. In western blot analysis, LC3II level was significantly increased in 4T1-HER2 cells treated with DEBIO 1143 for 24 and 48 hours compared to control. Beclin 1 expression was significantly elevated in the drug treatment groups of both cell lines. The expression level of RIP3 in 4T1 cells was relatively increased after 24 and 48 h treatment of DEBIO 1143 compared to control. cIAP1 protein bands were detected in both control and 24- h treatment groups of both cell lines, but not in 48- h treatment groups.
Conclusions
Our findings revealed that DEBIO 1143 showed a time-dependent cytotoxic effect in mouse TNBC cell lines. This effect may be predominantly mediated through non-apoptosis cell death mechanisms such as autophagy and necrosis. Further research is recommended to clarify the issue fully.
Evaluation of the Seasonal Variation on the Hydrogeochemical Parameters and Quality Assessment of the Springs in Nelliyampathy; Kerala- Southern Western Ghats India: The Contribution of Natural and Anthropogenic Factors
Authors: G Rijulal , KM Athul Gabriel , TM Vishnu Maya , A Krishnakumar , K Anoop Krishnan
Published: November 2023

Groundwater is a life-sustaining resource that plays a central part in irrigated agriculture and influences the health of many ecosystems. For fresh water supplies, groundwater in the form of springs has been the traditional and conventional source for the rural communities as well as for peri-urban and urban areas of Indian subcontinent. The springs originate from the underground aquifers which are recharged with rainwater. To assess natural and anthropogenic impacts on spring water chemistry, seasonal and spatial hydrochemical changes in 13 springs water samples were studied in the high land of Nelliyampathy region of western Ghats Kerala. The analyses investigated major cation, anion, and trace element concentrations. Moreover, water temperature, electrical conductivity, and pH were measured in the field. The irrigation quality parameters such as sodium adsorption ratio, %Na, residual sodium carbonate, residual sodium bicarbonate, Kelley’s index, potential salinity, magnesium hazard, Mg/Ca ratio and permeability index were calculated and discussed. Hydrochemical interpretation suggests two main groups of samples. Furthermore, groundwater chemistry was found mainly influenced by evaporation–crystallization in Gibbs variation diagram. This study suggested that spring water is unsafe for drinking purpose without purification and quality measures should be considered while cropping in its irrigation use.
Laser-Induced Graphene Electrochemical Sensor for Quantitative Detection of Phytotoxic Aluminum Ions (Al 3+ ) in Soils Extracts
Authors: Loaiza Vanessa Reyes , Roche Jhonattan De La , Renjifo Erick Hernandez , Idárraga Orlando , Silva Mayesse Da , Valencia Drochss Pettri , Ghneim-Herrera Thaura , Jaramillo-Botero Andres
Published: November 2023

Aluminum in its Al3+ form is a metal that inhibits plant growth, especially in acidic soils (pH < 5.5). Rapid and accurate quantitative detection of Al3+ in agricultural soils is critical for the timely implementation of remediation strategies. However, detecting metal ions requires time-consuming preparation of samples, using expensive instrumentation and non-portable spectroscopic techniques. As an alternative, electrochemical sensors offer a cost-effective and minimally invasive approach for in situ quantification of metal ions. Here, we developed and validated an electrochemical sensor based on bismuth-modified laser-induced graphene (LIG) electrodes for Al3+ quantitative detection in a range relevant to agriculture (1 to 300 ppm). Our results show a linear Al3+ detection range of 1.07–300 ppm with a variation coefficient of 5.3%, even in the presence of other metal ions (Pb2+, Cd2+, and Cu2+). The sensor offers a limit of detection (LOD) of 0.34 ppm and a limit of quantification (LOQ) of 1.07 ppm. We compared its accuracy for soil samples with pH < 4.8 to within 89–98% of spectroscopic methods (ICP-OES) and potentiometric titration. This technology's portability, easy to use, and cost-effectiveness make it a promising candidate for in situ quantification and remediation of Al3+ in agricultural soils and other complex matrices.
Bridging the Gap Between Community Health Workers’ Digital Health Acceptance and Actual Usage in Uganda: Exploring Key External Factors based on Technology Acceptance Model.
Authors: Miiro Chraish , Oyama Chisato , Aoki Yuma , Andrew Ddembe , Nishio Momani , Shi Shoi , Yakura Hiromu
Published: November 2023

Background
Community health systems are poised to play a prominent role in achieving universal health coverage in low- and middle-income countries, as demonstrated during the COVID-19 pandemic response. The advent of health information technology has provided an opportunity to optimize the community health space and improve efficiency. However, there is limited knowledge about the acceptance and usage of health information technology among community health workers, a prerequisite for scaled implementation.
We aimed to use the technology acceptance model (TAM) to predict the acceptance and usage of health information technology among CHWs, identify external factors and understand the impact on community health systems.
Methods
We conducted semistructured interviews with community health workers who were recruited through both convenience and snowball sampling. Data were entered using an ODK form. Codes were induced or deduced from open-ended responses. Cross-tabulation, correlation and regression analysis was performed using SPSS version 28.
Results
The technology acceptance model was a good predictor of behavioral intention to use digital health tools among CHWs. However, actual usage was not well predicted, and there was a mismatch between high behavioral intention and low actual usage. Access to smartphones was found to have an oversized influence on the actual usage of digital health tools.
Conclusion
According to TAM, CHWs have accepted the use of digital health tools but are limited by access to smartphones. There is also a need to ensure equitable digitization of community health systems. Last, the study further emphasizes the impact of digital health tools on community health systems.
Pulmonary fibrosis secondary to treated pulmonary tuberculosis in a 56-year-old female with hypertension: A case report
Authors: Jayte Mohamed Abdi
Published: November 2023

Background:Pulmonary fibrosis is a known complication of pulmonary tuberculosis (TB) despite successful treatment. We present a case of pulmonary fibrosis secondary to treated pulmonary TB.
Case Presentation: A 56-year-old female with history of treated pulmonary TB 2 years prior presented with progressive dyspnea. She was diagnosed with pulmonary fibrosis presumed secondary to her prior TB. Despite treatment with steroids and immunosuppressants, her condition worsened leading to respiratory failure.
Conclusion:This case highlights the potential morbidity of pulmonary fibrosis as a long-term complication of pulmonary TB, even after microbiological cure. Monitoring for complications like fibrosis should be considered in TB recovery.
Fear Transition in Public Transport Behaviors During the Peak of the Pandemic
Authors: Truong Dothang , Lee Sang-A
Published: November 2023

July 2021 marks a pivotal peak in the COVID-19 pandemic, characterized by the rapid propagation of the highly contagious and fatal Delta variant. Intriguingly, data reveals that contrary to expectations, public transport activity not only persisted but escalated during this critical phase. A crucial unanswered question arises: how did individuals' public transport behaviors shift and what drove these changes in response to their fears of COVID-19 and financial instability? This study aims to bridge these gaps in the existing literature by delving into the dynamics of public transport behaviors during the peak of the pandemic and the driving factors behind these changes. We examined transport behaviors from a unique perspective, changes in public transport behaviors over time, by introducing two novel dependent variables: the alteration in individuals’ actual use of public transport and their short-term transport plan. The theoretical model is underpinned by the theory of fear appeal and incorporates two primary independent variables, fears for health and fears for financial conditions. Logistic regression analysis was conducted using survey data collected in the United States between June and July 2021. The results indicated the significant impacts of fears for health and fears for financial conditions on the changes in public transport behaviors. A noteworthy discovery is the fluid and dynamic nature of fears; they are no longer confined to a static state but evolve rapidly over brief periods. This novel facet, denoted as "fear transition," emerges as a key factor in understanding the dynamic transport behaviors amid the pandemic.
Platform Perils: The winners curse on B2C consumer lending platforms
Authors: Reite Endre J. , Prestmo Joakim Blix
Published: November 2023

This article compares the estimate of credit risk and actual defaults on unsecured loans originating from a B2C lending platform to a bank with those taken directly from the same bank. Our study expands on earlier research by comparing credit scoring and default-level differences through simulations of banks’ bidding process for a loan with similar credit risk models. We find that banks systematically and significantly underestimate the risk of loan applications through the B2C lending platform. The bank also experiences a disproportional loss of profitable clients on platform loans. Credit risk models from direct lending should be adjusted for this bias before they are employed in platform lending. Both effects can be linked to a winner’s curse, consistent with both theory and simulations, which have not previously been explored.
Prescribed fire in fire-prone landscapes: tickling the dragon's tail
Authors: Short Henry
Published: November 2023

The important forest understory layer is where leaf and woody litters accumulate, decompose, and provide components that enhance soil fertility and future tree growth; where intact litter provides cover habitat for some faunal species; and where the food chains of some vertebrate wildlife species originate. Fire, including prescribed fire, if of moderate or high severity, can adversely affect all those processes. While prescribed fire is a useful tree culture tool in habitats where low intensity surface fires can be controlled, prescribed fire can be a substantial environmental risk when used in fire-prone landscapes where surface fires may become severe and difficult to control.
Cu-MOF-derived Cu2V2O7@C nanofilm for electrochromic properties
Authors: Dong Jinxiu , Cui Shichuang , Wang Fei , Wei Wei , Yin Ziluo , Zhang Yuqing , Zhu Quanyao
Published: November 2023

Electrochromism (EC) is an emerging energy conversion technology, in which vanadium pentoxide (V2O5) is a promising material for electrochromic applications due to its excellent ionic intercalation/deintercalation properties and cathodic/anodic color-changing properties. However, its poor cycling stability and color change response rate limit its practical application. Metal-organic frameworks (MOFs) combine the rigidity and flexibility of inorganic-organic materials and can meet the requirements of EC materials such as cycle stability, electrical conductivity, and stress-interference resistance. We report here a strategy to modify V2O5 with CuMOF. Cu-doped V2O5 and carbon skeleton (Cu2V2O7@C) composites were prepared for electrochromism. In this scheme, Cu doping can facilitate lithium ion migration by broadening and stabilizing the structure of V2O5, and the distribution of the carbon skeleton can broaden the contact of the active material with the electrolyte and improve the electron conduction. Combining these merits, it exhibits excellent long-term cycle stability (the capacity retention rate reaches 91.78% after 2000 cycles), the light transmission modulation is greatly improved compared with V2O5 (ΔT = 69%, doubled), and the response time is reduced by 30.43%. This study provides a new perspective for improving the light modulation ability and long-term use stability of vanadium oxide EC materials and promotes the development of MOFs materials in the field of electrochromism.
Absence of Nitrogen regulatory protein C affects the growth physiology of Salmonella Typhimurium by limiting glucose transport in the cell
Authors: Mishra L K , Shashidhar R
Published: November 2023

The NtrC is crucial for nitrogen regulation in S. Typhimurium. Under nitrogen limitation, NtrC activates the set of genes involved in ameliorating the slowing of growth. Schumacher et al (2013) demonstrated that ntrC mutation increases intracellular concentration of α-KG in the cell. Another report explained that α-KG inhibits (Enzyme 1) E1 protein. Taking this as a clue, we studied the glucose uptake of ΔntrC. Indeed, the ΔntrC was slow to uptake the glucose. It also showed smaller colonies and reduced cell size in an optimum glucose medium. The transcriptome studies in carbon and nitrogen rich medium, showed suppressed nitrogen transport and metabolism genes, and induction of maltose operon genes (encoding high affinity glucose transporters) in ΔntrC. Despite having suppressed nitrogen transport and metabolism genes in ΔntrC, there was no significant difference in nitrogen (ammonia) utilization between WT and ΔntrC. Hence, we show that, ΔntrC having hampered glucose transport but normal expression of glucose metabolism genes, exhibits glucose limiting growth (intracellular glucose deficiency). Consequently, generate hunger response (small cell size, slow growth rate and induced maltose operon genes) even during growth in glucose rich medium. Therefore, the current work adds evidence for intricate overlapping control of nitrogen and carbon metabolism.
Evaluating the Psychometric Properties of the Simplified Chinese Version of PROMIS-29 in Patients with Hematologic Malignancies
Authors: Zhang Qianqian , Zhao Jinying , Liu Yating , Cui Yan , Wang Wen , Li Junjie , Liu Yanxia , Tian Fei , Wang Zhixin , Zhang Huijuan , Liu Guiying , Wu Yun , Li Qiuhuan , Hu Tingyu , Zhang Wen , Xie Wenjun
Published: November 2023

Background
The patient-reported outcomes measurement information system 29-item profile (PROMIS-29) is a widely utilized self-reported instrument for assessing health outcomes from the patients’ perspectives. This study aimed to evaluate the psychometric properties of the PROMIS-29 Chinese version among patients with hematological malignancy.
Methods
Conducted as a cross-sectional, this research was approved by the Medical Ethical Committee of the Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (registration number QTJC2022002-EC-1). We employed convenience sampling to enroll eligible patients with hematological malignancy from four tertiary hospitals in Tianjin, Shandong, Jiangsu, and Anhui province in China between June and August 2023. Participants were asked to complete a socio-demographic information questionnaire, the PROMIS-29, and the Functional Assessment of Cancer Therapy-General (FACT-G). We assessed the reliability, ceiling and floor effects, structural, convergent discriminant and criterion validity of the PROMIS-29 profile.
Results
A total of 354 patients with a mean age of 46.93 years was included in the final analysis. The reliability of the PROMIS-29 was affirmed, with Cronbach’s α for the domains ranging from 0.787 to 0.968. Some domains exhibited floor and ceiling effects. Criterion validity was supported by significant correlations between the PROMIS-29 and FACT-G scores, as determined by the Spearman correlation test(P＜0.01). Confirmatory factor analysis (CFA) indicated a good model fit, with indices of χ2/df (2.602), IFI (0.960) ,and RMSEA (0.067). The Average Variance Extracted (AVE) values for the seven dimensions of PROMIS-29, ranging from 0.500 to 0.910, demonstrated satisfactory convergent validity. Discriminant validity was confirmed by ideal √AVE values.
Conclusion
The Chinese version of the PROMIS-29 profile has been validated as an effective instrument for assessing symptoms and functions in patients with hematological malignancy, underscoring its reliability and applicability in this specific patient group.
MoCoSys: Human Motion Correction based on Deep Learning Coupled with 3D+t Laplacian Motion Representation
Authors: Tchenegnon Mansour , Gibet Sylvie , Naour Thibaut Le
Published: November 2023

In this paper, we present a 3D motion correction system posterior to 3D pose estimation from video. Our approach, relying on a 3D human pose estimator taken from the literature, consists of a motion correction system using deep learning techniques coupled with Laplacian motion modeling. The system affects the temporal features of the movement to obtain temporally better reconstructed motion, and ensures the preservation of the static skeletal structure throughout the movement. The approach is built upon two deep neural networks. The first neural network uses a 3D+t graph representation of motion associated with the discrete Laplacian operator to improve the spatio-temporal structural deformation of the skeleton over time. The second neural network, meanwhile, estimates fixed lengths for the bones of the skeletal structure. This enables the correction process to produce skeletal consistency in the motion while reducing the error on the lengths of the bones in the previously estimated motion. Compared to competitive state-of-the-art approaches, we show that our correction system improves both the spatial and temporal characteristics of the reconstructed motion, for better use in data-driven animation applications.
Population variation and polymorphism of the Cotton Pink Bollworm Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae) using Inter Simple Sequence Repeats (ISSRs) as molecular markers
Authors: Taha Hanan Salah El-Din
Published: November 2023

The most common pest infesting Egyptian cotton plants is the pink bollworm Pectinophora gossypiella (Saunders) (Lepidoptera: Gelechiidae). Intensive insecticide applications required for effective control in production season, resulting insecticide resistance problems. Some investigation ideas were floating for sponsored management. Thus, PCR based examination of pest population DNA tissue differentiation using eight Inter-Simple Sequence Repeats (ISSRs) primers screening for genetic diversity and population differentiation between some Egyptian field populations, based on similarity in the pattern of SDS-page bands. We detected 117 loci with an average population polymorphism of 97.64%. Genetic distance and similarity between groups were calculated and UPMGA phylogenetic tree were constructed. Based on Nei’s distance the specimens statistically grouped into three major clusters and six sub clusters. The average primer efficiency calculated value of PIC = 0.0027, 0.0029 and 0.22, H = 0.326, 0.346 and 0.266, and MI = 0.0669, 0.0768 and 0.04 for Sharkia, Benisuef and Fayoum respectively. Number of identified alleles Na = 1.92, 2.1 and 2.03 and the effective number of alleles Ne = 1.6, 1.93 and 1.78 respectively. Principal component, correspondence analysis and AMOVA results revealed great variance between populations. Moderate level of gene flow was 0.472 to 0.474 and 0.462. Infinite diversity distinguished by Fixation index Fst was ranged from 0.674 to 0.677 across the genotypes. Estimated Shannon’s index (I) procedures of calculations completed as inter-population differences was 6.62 and Nei’s genetic diversity h = 4.7, 4.656 and 4.60. Eveness was 1.09, 1.089 and 1.079 and estimated diversity was 1.24, 1.23 and 1.298, and species richness was 115, 117 and 117 for the same arrangement respectively. All results indicates a high level of genetic variation exists among the three geographical sample populations of the same pest.
Environmental awareness in Peruvian companies: the case of Interbank, Backus and Alicorp 2021 Conciencia ambiental en las empresas peruanas: el caso de Interbank, Backus y Alicorp 2021
Authors: VILCARANO ESTHER ISABEL FLORES , JULCARIMA VICTOR ALFONSO LANDEO , LEÓN WILD FRANZ CERRON , FERNÁNDEZ ISRAEL ROBERT PARIAJULCA
Published: November 2023

Climate change, over the years, presents more harmful indicators for living beings. This leads to the need for the involvement of all possible actors. Precisely, the business sector has also been involved in the promotion of sustainable development, as well as its implementation. This is how Corporate Social Responsibility (CSR) came into being. Thus, companies start to create parameters for sustainable development in order to give relevance not only to their economic interests, but also to their social environment. Precisely, this research focuses on determining the respective activities of the Peruvian companies Interbank, Backus and Alicorp - companies recognised among the top five nationally in terms of Social Responsibility - for environmental care and the fight against climate change.
Using Complex Systems Theory to Comprehend the Coordinated Control Effects of PM 2.5 and O 3 in Yangtze River Delta Industrial Base in China
Authors: Cao Ruhui , Xiao Yaxi , Dong Yangbin , Zhang Fuwang , Shi Kai , Wang Zhanyong
Published: November 2023

Regional air pollution is a multifaceted and dynamic system, rendering linear statistical approaches insufficient in capturing its inherent patterns of variability, particularly the intricate spatiotemporal fluctuations of multiple pollution indicators. Therefore, this study examines the synergistic evolution and impact mechanisms of PM2.5 and O3 in four cities in China’s Yangtze River Delta base from 2013 to 2022 by complex systems theory. Initially, multifractality and long-term persistence between PM2.5 and O3 are confirmed in each city using Multifractal Detrended Cross-Correlation Analysis (MFDCCA). Subsequently, evaluation indicators are established to assess control effects. Furthermore, factors influencing coordinated control are analyzed using Ensemble Empirical Mode Decomposition (EEMD). Finally, Self-Organized Criticality (SOC) theory is introduced to understand dynamic concentration patterns. The results indicate: (1) Multifractality and long-term persistence exist between PM2.5 and O3 in the four cities, and this persistence strengthens with the implementation of atmospheric pollution prevention and control policies. The application of complex systems theory facilitates the explanation and quantification of the synergistic control effectiveness of PM2.5 and O3. (2) Since 2013, except for Nanjing, the coordinated control effects of PM2.5 and O3 in Shanghai, Hangzhou, and Suzhou have been unsatisfactory and have not effectively improved. (3) Compared to human activities, atmospheric control measures, periodic meteorological variations, and long-range transport of regional pollutants have a greater influence on the synergistic regulation effects of PM2.5 and O3. (4) SOC may be the primary mechanism influencing the effectiveness of synergistic regulation of PM2.5 and O3, and sudden events such as epidemic control measures can disrupt the existing balance between PM2.5 and O3, thereby reducing the coordinated control effects.
The Accuracy of Self-Reported Family History in Glaucoma
Authors: Figueiredo Ana Galrão Almeida , Nogueira Isadora Ferro , Baptista Liane Ferraz de Moura , Foganholo Jady , Iguma Camila Ishii , Abe Ricardo Yuji
Published: November 2023

Purpose
To evaluate the accuracy of a positive self-reported glaucoma family history.
Material and Methods
Cross-sectional study. Each subject was asked if they had a first-degree relative diagnosed with glaucoma. If their answer was affirmative, the relative was invited to attend on ophthalmic evaluation and underwent complementary exams to confirm or exclude the glaucoma diagnosis. Only one relative was included per subject.
Results
We included 204 subjects in the study (102 subjects and their respective relatives). The accuracy of family history of glaucoma was 76.96% of the cases. In the univariable analysis, subjects with college degree had 2.34 [(P = 0.010; 95% confidence interval (CI) 1.18– 4.63)], with higher family income 3.72 (P = 0.003; 95% CI 1.57–8.85) and those with health insurance 3.42 (P = 0.001; 95% CI 1.67–6.98) more chances to have a true positive family history for glaucoma. In the multivariable logistic regression analysis, none of the variables presented significant association.
Conclusion
Around 24% of patients may not provide reliable information about family history for glaucoma. When asking about a glaucoma family history, clinicians should consider the real accuracy of this self-reported data.
Periodic solutions of an NPZ model with periodic delay and space heterogeneity
Authors: Cui Mengran , Lv Yunfei , Zhang Qianying
Published: November 2023

In this paper, we investigate an nutrient-phytoplankton-zooplankton (NPZ) model with seasonality and spatial heterogeneity, in which the immature zooplankton with size structure is described by the quasi-linear first-order partial differential equation. A three-dimensional periodic delay food chain model with initial value is derived from the original model. To establish the threshold dynamics of NPZ model, we first obtain the global attractivity of the positive periodic solution of the nutrient-phytoplankton (NP) subsystem by using the method of sub-super solutions and associated iterations. We then give the integral expression of threshold for the corresponding system, which is convenient for numerical simulations. Based on this, the threshold dynamics is discussed by appealing to the comparison arguments and the persistence theory. Finally, the analytic results are in good consistence with our numerical simulations.
Financial Performance, Intellectual Capital Disclosure and Firm Value: The Winning Edge
Authors: Keter Charles Kiprono Sang , Cheboia Josephat Yegon , Kosgei David
Published: November 2023

Traditional financial performance metrics have served well throughout the inclusion era, but they are no longer in sync with the skills and competitiveness that organizations are attempting to learn. This study examined the role of intellectual capital disclosure (ICD) in mediating the relationship between financial performance and firm value. The sample consists of 39 firms listed on the Nairobi Securities Exchange (NSE) in Kenya. They represent 67% of firms listed on NSE during the period (2010–2022). Data were extracted from individual companies’ audited annual reports. The study hypotheses were tested on a fixed and random effects model with the aid of the Stata student version. The results reveal that financial performance has a positive and significant effect on firm value. Furthermore, financial performance has a negative effect on ICD. Finally, ICD was found to have a mediating effect on the relationship between financial performance and firm value. The results confirm that intellectual capital disclosure is an important mediator in the relationship between financial performance and firm value; firm managers should use ICD as a winning edge. Additionally, firms with high intellectual capital are likely to engage in voluntary disclosure to legitimize their success.
Dorothea Bjelfvenstam : Übersetzungsbibliographie
Authors: Liedtke Klaus-Jürgen
Published: November 2023

Die Titel dieser Bibliographie wurden weitgehend autoptisch in der Landes- und Zentralbibliothek Berlin geprüft, im Übrigen wurden die Datensätze des KVK und der Deutschen Nationalbibliothek und für die Originale libris.kb herangezogen.
Johannes Bobrowski, 1917–1965
Authors: Völker Klaus
Published: November 2023

Am übersetzerischen Tun von Johannes Bobrowski kann studiert werden, dass sich nicht jeder Dichter auch für einen guten Nach-Dichter hält. Entsprechend schmal ist sein translatorisches Werk, das Nachdichtungen aus dem Russischen, Tschechischen und Englischen enthält.
Johann Joachim Christoph Bode, 1731–1793
Authors: Kelletat Andreas F. , Albrecht Jörn
Published: November 2023

Der 1731 in Braunschweig geborene Johann Joachim Christoph Bode gehört zu den wenigen Nur-Übersetzern des 18. und 19. Jahrhunderts, zu deren Leben und Werk sich sowohl Zeitgenossen wie Literaturwissenschaftler des 20. Jahrhunderts vergleichsweise umfangreich geäußert haben. Seine Übersetzungen englischer Romane (Sterne, Goldsmith) werden zu den "Klassikern" der Übersetzungsliteratur gezählt, einzelne Titel werden bis heute in renommierten Buchreihen nachgedruckt.
Referente internacional para un tribunal de contratación pública en Colombia
Authors: Benavides José Luis , Zorro Miranda Luisa Fernanda
Published: November 2023

En Colombia no existen tribunales de contratación pese a que el país se ha comprometido a su implementación mediante tratados internacionales. La ineficacia de los medios de control judiciales existentes, que definan de manera ágil, oportuna y técnica la licitud de los procesos de selección y modificación de los contratos durante su ejecución, lleva a identificar las condiciones de eficacia y oportunidad de un mecanismo que podría ser implementado en el país, teniendo en cuenta los referentes y limitantes constitucionales de la organización de instituciones administrativas independientes.
La naturaleza jurídica de la resolución de declaratoria de adoptabilidad de un niño, niña y adolescente en Colombia
Authors: Garcés Jaramillo Manuela , Estrada Jaramillo Lina Marcela
Published: November 2023

Se reflexiona en torno a la Resolución de Declaratoria de Adoptabilidad de un niño y adolescente en Colombia, resultado del Proceso Administrativo de Restablecimiento de Derechos que realizan los Defensores de Familia; el objetivo principal es determinar la naturaleza jurídica del acto administrativo a través del cual se toma la decisión de vincular al niño al programa de adopción, para establecer si es posible ejercer un control judicial diferente a la homologación en caso de que ésta no sea solicitada por las partes dentro de los términos fijados por la ley. En este sentido, a través del enfoque metodológico cualitativo, se revisó la normatividad, jurisprudencia de las Cortes, pronunciamientos del Instituto de Bienestar Familiar (ICBF) y posturas doctrinales, para construir un contexto sobre el alcance de la mencionada Resolución e identificar la naturaleza del acto decisorio y un posible control judicial diferente a la homologación. Finalmente, se concluye que la naturaleza jurídica corresponde a un acto administrativo de carácter definitivo y el único control judicial que se prevé, diferente al establecido normativamente, es la acción de tutela.
La gestación subrogada y la licencia de maternidad según la Corte Constitucional
Authors: Gómez Rúa Natalia Eugenia , Mora Sánchez Helary Vanesa
Published: November 2023

A nivel internacional, existen países que cuentan con regulación que permite la práctica de la gestación subrogada y otros que la prohíben de forma expresa en sus marcos normativos. Dado que este tema ha sido controversial, las Altas Cortes son las que resultan dando soluciones a casos concretos conforme a principios constitucionales y/o referentes legales de cada país.
Therapeutic Effects of Berberine against Urological Cancers:
Biological Potentials Based on Cellular Mechanisms
Authors: Savoji Ali Bozorg , Kaheni Yasamin , Rezaei Pouria , Farkhondeh Tahereh , Pourhanifeh Mohammad Hossein , Samarghandian Saeed
Published: November 2023

Background:

Urological cancers, encompassing prostate, kidney, and
bladder cancers, pose significant global health challenges. Current treatment
modalities, including chemotherapy, radiotherapy, and surgery, individually or in
combination, have limitations in efficacy and are associated with notable morbidity and
mortality.

Methods:

This review explores alternative therapeutic avenues, emphasizing the
exploration of natural compounds, with a specific focus on berberine. Berberine's
potential as a treatment for urological cancers is investigated through an extensive
examination of cellular and molecular mechanisms.

Results:

The comprehensive analysis reveals promising anticancer properties
associated with berberine, substantiated by a wealth of experimental studies. The
agent's impact on urological cancers is discussed, highlighting notable findings related
to its efficacy and safety profile.

Conclusions:

Given the high mortality rates and potential side effects associated with
current standard treatments for urological cancers, the exploration of alternative,
effective, and safer options is imperative. This review underscores berberine's
therapeutic potential, shedding light on its anticancer effects and encouraging further
research in the pursuit of enhanced treatment strategies.
Boosting Host Immunity to Combat Coronavirus Disease-2019 (COVID-19)
Authors: Rudrapal Mithun , Bhattacharya Soumya , Chetia Dipak
Published: November 2023

Despite significant efforts in drug discovery and development, combating
Coronavirus Disease (COVID-19) still remains to be an increasingly challenging health
problem because of the fact that the recommended current therapies are intended only
for the symptomatic treatment and/or prophylaxis of SARS-CoV-2 infections/COVID 19 patients, but do not cure the disease. In this context, several complementary and
alternative, but potential healthcare practices (CAMs) that could effectively boost host
immunity are firmly believed to be one of the major medical interventions for the
prevention as well as control of COVID-19. In this review, several immunity-boosting
measures based upon traditional healthcare practices including traditional herbal
remedies, home remedies, and alternative and complementary therapies including yoga
and naturopathies to fight against SARS-CoV-2 infections/ COVID-19 have been
reviewed
Aromatic Plants, Essential oils, Carminatives, Tea Plants and Expectorant Herbs for the Management of COVID-19
Authors: Upadhyay Sonal , Bhushan Ravi , Kumar Dubey Pawan , A Sheikh Bashir , Rudrapal Mithun , Zothantluanga James H.
Published: November 2023

SARS-CoV-2 (Severe acute respiratory syndrome coronavirus 2) leads to
coronavirus disorder (COVID-19). It was detected in Wuhan City, China, in December
2019 and extended to different provinces in China. The drug discovery strategy that
holds the thrust of the COVID-19 pandemic is the existing trial of broad-spectrum
antiviral drugs. However, molecular docking combined with chemical synthesis assists
in discovering various synthetic agents, above one-third of FDA (Food and Drug
Administration)- are naturally occurring products as approved drugs. Natural derivative
products from different sources of fungus, plant and marine have been abundant in
nutrition/ phytochemicals to prevent various disease discoveries for many diseases’
prevention. There are scarcely any country that is left intact by the coronavirus
outbreak. Only the considerable well-known health threat still now requires it to be
managed as early as possible. To date, there is no development of drugs or vaccines
that have been proven clinically against COVID-19. Various secondary
phytoconstituents with antiviral activities have been extracted from medicinal herbs.
Different research works have been demonstrated all over the globe to find antiviral
medication effectiveness against SARS-CoV-2 in COVID-19 pandemic. The best
preventive measures against COVID-19 infections would be searching for the
molecules responsible for modifying or disturbing any pathways related to the virus
replication cycle. Natural compounds are capable of altering or inhibiting the
configuration of the structural protein of (spike glycoprotein), non-structural proteins
(3-chymotrypsin-like protease, papain-like protease, helicase, and RdRP) and accessory
proteins encoded by the SARS-CoV-2 genome that are required to be investigated.Hence, various natural products and herbal extracts may prove as potent therapeutics in
treating the symptoms related to SARS-CoV-2 infection. In this context, we will
present some traditional plants/herbs that are found effective against viral activities and
reduce the contamination risk by Coronavirus and cure some symptoms of COVID-19,
mainly respiratory problems.
Role of Cytokines and Chemokines in Rheumatoid Arthritis
Authors: Hassan Omar Hanan
Published: November 2023

Rheumatoid arthritis (RA) is a chronic, inflammatory, and destructive
polyarthritis with numerous autoimmune features and the potential for extra-articular
and systemic complications. Much progress has occurred in defining important
mechanistic components of RA, leading to significant advances in its treatment. RA is
a multifactorial and multistage disease, beginning with preclinical autoimmunity that
arises in a genetically predisposed individual who encounters one or more
environmental triggers, progressing to the clinical appearance of inflammation in joints
and sometimes in other organs, and leading to destruction of the articular cartilage and
adjacent bone. Regulatory role in inflammation, autoimmunity and articular destruction
in the joints of rheumatoid arthritis patients is played primarily by chemokines and
cytokines. Amongst many top players of inflammation in RA, tumour-necrosis factor-alpha (TNF-α) is counted as the chief culprit. It is produced by synovial macrophages,
B lymphocytes, and NK-cells. Furthermore, TNF-α has exhibited to be of particular
utility as a therapeutic target. IL-17A is synthesized by T helper 17 (Th17), which
initiates the generation of inflammation causing cytokines like interleukin-6 (IL-6), IL-8 and GM-CSF by cells of endothelium, epithelium and fibroblasts and localization of
neutrophils. Progression of inflammation in the synovial fluid is augmented by
chemokines in the joints of rheumatoid patients. Elevated levels of CC chemokines
(CCL2, CCL3, CCL4 and CCL5) and CXC chemokines (CXCL5, CXCL8, CXCL9
and CXCL10) have been reported in such patients. Moreover, these chemokines may
control cell trafficking directly by interacting with their cognate receptors present on
inflammatory cells and also by modulating angiogenesis. Several proinflammatory
cytokines and chemokines participate in many biological pathways finally setting the
loop of inflammation and exacerbation of the outcome and these serve as biomarkers
for a number of autoimmune and inflammatory disorders.