Miracle-dz/UniFAR-FTUs huggingface dataset:
Lignin peroxidase from the white-rot fungus Lentinus squarrosulus MPN12 and its application in the biodegradation of synthetic dyes and lignin

Lignin peroxidase (LiP), which has been studied extensively in white-rot basidiomycetes and their potential to degrade dyes from textile wastewater, plays a role in the biodegradation of lignin from pulp and paper industry wastewater, as well as agricultural waste. Lignin peroxidase (LsLiP) was successfully purified from the newly isolated Lentinus squarrosulus MPN12 with a 47.1-fold purification and a 15.7% yield. After 48 h-incubation, LsLiP was able to decolorize all tested dyes up to 92% for Acid Blue 62 (NY3), followed by Porocion Brilliant blue HGR (PB, 73.5%), Acid Blue 281 (NY5, 70.5%), Acid Blue 113 (IN13, 61%), Acid red 266 (NY7, 56%), and 34.5% for Acid red 299 (NY1), compared to the negative control with the heat-denatured enzyme. The biodegradation potential of LsLiP was further suggested by the change of lignin structure based on Fourier transform infrared (FTIR) analyses. Lignin structure was noticeably changed before and after LsLiP treatment, especially in the fingerprint regions (1600 to 1000 cm-1) and 2930 cm-1 corresponding to the stretching vibrations of various groups in lignin. Thus, LsLiP has potential application in both enzyme-based decolorization of synthetic dyes and lignin biodegradation.
Integrating Bifactor Models into a Generalizability Theory Based Structural Equation Modeling Framework

Abstract Although generalizability theory (GT) designs have traditionally been analyzed within an ANOVA framework, identical results can be obtained with structural equation models (SEMs) but extended to represent multiple sources of both systematic and measurement error variance, include estimation methods less likely to produce negative variance components, and correct for score coarseness. In research reported here, we integrated principles of bifactor modeling into a GT-SEM framework to partition systematic variance for subscale and composite scores into general and group factor effects and measurement error into multiple components. GT-bifactor modeling allowed for partitioning of variance at different levels of aggregation, clearer definitions of constructs within sampled domains, extended indices of score consistency, insights into composite and subscale score viability, and markers for best enhancing score consistency. Results for domain and facet scores from the recently updated form of the Big Five Inventory highlighted the importance of taking all sources of measurement error into account and the diagnostic benefits of GT-bifactor designs over conventional univariate and multivariate GT designs. Findings further revealed that corrections for scale coarseness noticeably enhanced overall score consistency by reducing specific-factor and random-response measurement error. We provide code in R for applying all illustrated designs in a detailed online supplement.
Time to speed up the diagnostic evaluation in clinically suspected rhinosinusitis patients: A debate on the conventional versus molecular workup to establish fungal infective etiology for prompt management

Background and Purpose: Rhinosinusitis (RS) is a clinical and radiological diagnosis that rarely reaches a proper infective etiological diagnosis. The most dreaded fact about invasive fungal rhinosinusitis is its poor prognosis in immunocompromised patients with a 60-80% mortality rate. The present study highlights and compares the various diagnostic techniques to establish a fungal etiological diagnosis in clinically suspected cases of RS from nasal biopsy specimens, with the emphasis on the molecular diagnostic approach. Materials and Methods: This prospective study included a total of 34 clinically suspected cases of RS who had recently undergone functional endoscopic sinus surgery (FESS)/biopsy from nasal polyps. Various laboratory methods (microbiological and histopathological) were utilized, including direct microscopic examination of clinical samples and fungal culture isolation. The molecular detection method of polymerase chain reaction (PCR) from clinical samples was also explored simultaneously. Serum immunoglobulin-E (IgE) testing of patients was also performed. Results: Out of 34 clinically suspected RS cases, fungal etiology was established in a total of 18 cases, 17 of whom were culture-proven. A total of 15 and 14 culture-proven cases were also detected on direct microscopic examination by potassium hydroxide (KOH) mount and histopathological staining, respectively. One case was additionally identified by molecular method. Aspergillus flavus complex was the most common pathogen isolated in culture. Allergic fungal RS was the most common type, followed by acute and chronic invasive types among all fungal RS cases. Conclusion: Accurate and prompt etiological diagnosis of fungal RS is still lagging with fewer options for quick results. Although microscopy and culture isolation can’t be replaced, PCR is a sensitive and specific method that should be incorporated as a supplementary tool for the early diagnosis and management, considering the delayed growth of fungi.
Social impact as corporate strategy: responsibility and opportunity

Abstract The level of social responsibility expected by society has risen significantly in recent years. Some companies used to pursue Corporate Social Opportunity (CSO) thinking about how companies engage with significant social shocks over the short-term. These actions are symbolic and empty gestures. Based on our collected business cases and conceptual analysis, we suggest a three-part framework for turning short-term windows of opportunity into long-term value-creation: knowing, doing, and repeating the right things. Going beyond corporate social opportunity towards responsibility requires authentic long-term strategy driven by social impact.
Social capital and cost of debt in Vietnamese household businesses

Abstract The paper provides the impact of social capital on the cost of debt of rural household businesses in Vietnam by using the panel data sample of 4,874 household businesses. Social capital is considered as the connections with people in the society including connections with people in the same business sector, people in the different business sector, bank officials and politicians. Besides, social capital is also measured as the assistance from government, state-owned commercial banks, state-owned enterprises, private commercial banks, friends & relatives and business association. The results show that the connections with politicians, the assistance from government, state-owned enterprises, private commercial banks, friends & relatives and business associations can help the household businesses in reducing the cost of using debts. The paper draws up a broader picture about the use of informal resources like social capital in household businesses. Accordingly, this highlights the importance of social capital in a network-oriented country like Vietnam.
An AI-Driven Hybrid Framework for Intrusion Detection in IoT-Enabled E-Health

E-health has grown into a billion-dollar industry in the last decade. Its device's high throughput makes it an obvious target for cyberattacks, and these environments desperately need protection. In this scientific study, we presented an artificial intelligence (AI)-driven software-defined networking (SDN)-enabled intrusion detection system (IDS) to address increasing cyber threats in the E-health and internet of medical things (IoMT) environments. AI's success in various fields, including big data and intrusion detection systems, has prompted us to develop a flexible and cost-effective approach to protect such critical environments from cyberattacks. We present a hybrid model consisting of long short-term memory (LSTM) and gated recurrent unit (GRU). The proposed model was thoroughly evaluated using the publicly available CICDDoS2019 dataset and conventional evaluation measures. Furthermore, for proper validation, the proposed framework is compared with relevant classifiers, such as cu-GRU+ DNN and cu-BLSTM. We have further compared the proposed model with existing literature to prove its efficacy. Lastly, 10-fold cross-validation is also used to verify that our results are unbiased. The proposed approach has bypassed the current literature with extraordinary performance ramifications such as 99.01% accuracy, 99.04% precision, 98.80 percent recall, and 99.12% F1-score.
NCI Alliance for Nanotechnology in Cancer – Catalysing Research and Translation Towards Novel Cancer Diagnostics and Therapeutics

Nanotechnology has been a burgeoning research field which is finding compelling applications in several practical areas of everyday life. It has provided novel, paradigm shifting solutions to medical problems and particularly to cancer. In order to accelerate integration of nanotechnology into cancer research and oncology, the National Cancer Institute (NCI) of the National Institutes of Health (NIH) established the NCI Alliance for Nanotechnology in Cancer program in 2005. This effort brought together scientists representing physical sciences, chemistry, and engineering working at the nanoscale with biologists and clinicians working on cancer to form a uniquely multi-disciplinary cancer nanotechnology research community. The last fourteen years of the program have produced a remarkable body of scientific discovery and demonstrated its utility to the development of practical cancer interventions. This paper takes stock of how the Alliance program influenced melding of disparate research disciplines into the field of nanomedicine and cancer nanotechnology, has been highly productive in the scientific arena, and produced a mechanism of seamless transfer of novel technologies developed in academia to the clinical and commercial space. Graphical Abstract Visual Abstract Caption: The National Cancer Institute’s Alliance for Nanotechnology in Cancer has produced numerous technologies dedicated towards novel solutions to cancer. The images depict nanostructures used in novel cancer therapeutics and in vitro or in vivo diagnostics developed by Alliance-funded research.
Lingering questions about the Social Responsiveness Scale short form. A commentary on Sturm et al. (2017)

The Social Responsiveness Scale (SRS) was originally developed to quantify autistic traits, represented by a single score indicating both likelihood of an autism spectrum disorder (ASD) diagnosis and severity of symptoms (Constantino, 2011; Constantino et al., 2003, 2004; Constantino & Todd, 2000, 2003; Constantino, Przybeck, Friesen, & Todd, 2000). However, the dual usage as a diagnostic screener and quantification of severity have resulted in an identity crisis. The SRS has been criticized for lacking specificity, at least among referred children, and for exhibiting inflated scores due to characteristics not specific to an ASD diagnosis, such as problem behaviors and low IQ (Aldridge, Gibbs, Schmidhofer, & Williams, 2012; Hus, Bishop, Gotham, Huerta, & Lord, 2013; Norris & Lecavalier, 2010). These findings challenge the construct validity of the SRS as a Level-2 diagnostic screener. Used to quantify severity of impairment, the SRS boasts few rigorous psychometric data to validate its structure, which was not empirically derived. Several studies have purported to assess the factorial validity of the SRS with principal components analysis (rather than the more appropriate factor analysis; Borsboom, 2006), and these have focused generally on confirming its unidimensionality and have failed to acknowledge evidence for secondary factors (Bölte, Poustka, & Constantino, 2008; Constantino et al., 2004; Wigham, McConachie, Tandos, & Le Couteur, 2012). An exception was a study by Frazier and colleagues (2014), who derived a multi-factor solution using item parcels. Recently, Sturm, Kuhfeld, Kasari, and McCracken (2017, this issue) sought to empirically derive a factor structure for the SRS (including both unidimensional and multidimensional models), shorten it,
Reprodutibilidade da medida cinemática bidimensional do movimento de agachamento profundo overhead por fotogrametria: Uma nova forma de analisar as limitações de mobilidade articular

Objetivou-se determinar a confiabilidade da medida angular (CMA) de agachamento profundo overhead (OHS) avaliado pela técnica de fotogrametria, determinando seu coeficiente de correlação intraclasse (CCI), bem como o respectivo erro típico (ETM) absoluto e relativo da medida. 20 indivíduos idosos fisicamente ativos realizaram 2 visitas. No primeiro encontro foram realizados a avaliação antropométrica e uma familiarização com o movimento de OHS com as mãos acima da cabeça. Na segunda visita os participantes realizaram duas execuções consecutivas do movimento de OHS com as mãos acima da cabeça, onde seguravam um bastão. As medidas foram repetidas na mesma visita. Todos os idosos foram filmados por uma câmera com capacidade de 200 quadros por segundo. A consistência interna foi realizada via fotogramétrica, junto ao software Kinóvea® de análise angular bidimensional. A CMA foi determinada a partir de um CCI, bem com o ETM absoluto e relativo. As análises do CCI apresentaram excelente associação entre a primeira medida e a segunda medida de parâmetros angulares no movimento de OHS. O ETM demonstrou baixos valores relativos de variação da medida (1,7 a 4,2%), exceto para a medida de quadril, na qual apresentou variações ±10%. Para confirmar a ausência de diferenças, um teste t dependente foi utilizado, sugerindo concordância entre as medidas (p > 0,05). A CMA de OHS para maioria das articulações investigadas, apresentou excelente CCI, bem como, baixos ETM absolutos e relativos da cinemática angular. A medida de CMA de quadril variou amplamente, mas sem diferenças significativas entre a primeira e a segunda medidas.
Lake Avlan drainage effects on radial tree growth at microecological level

Lake Avlan is a natural lake located in the mountainous areas in southwestern Turkey. The lake was drained towards the end of the 1970s. However, some serious socioeconomic impacts were felt in the region surrounding the lake basin. Because the increasing ecological problems were realized within 20 years, the lake was restored towards the end of the 1990s. The present study considers the effects of lake drying on the radial growth rate of cedar and juniper forests on the slopes adjacent to the lake basin, during the drained period. Dendrochronological methods were used in two stands, one from cedar and the other from juniper forests. Results showed that mean index values derived from annual growth rate for the drained period were 15% and 14% less than that of the average of pre- and post-drying periods of the lake for cedar and juniper sites, respectively. Microecological change, namely decreasing air humidity, due to drying the lake may be the main reason of differentiation in the index values. Natural lakes, like Avlan, on mountainous areas are an important component of forest ecosystems and should not be overlooked by natural resource planners in such regions.
Development of measuring tools for muscle strength and endurance arm for archery sport holding bow digitec test

This study aims to produce a measuring instrument for arm muscle strength and endurance for “Archery Holding Bow Digitec Test”. It creates a new breakthrough that the “Holding Bow Digitec Test” is a tool for measuring arm muscle strength and endurance with high validity and reliability for archery. This research is a type of research and development (R&D) research that uses the Borg & Gall development model which consists of 10 procedures. The subjects involved in this study amount to 33 subjects consisting of 18 male archers and 15 female archers. Data collection techniques use questionnaires, the delphi method, and measurement tests. Data analysis uses the percentage formula for the questionnaire. The validity test uses content validity which is analyzed using the Aiken's v formula and concurrent validity which is analyzed using product moment correlation. The reliability test used a test-retest approach which is analyzed using product moment correlation. The results of the study are a tool for measuring the strength and endurance of the arm muscles in archery called the “Holding Bow Digitec Test”. The contribution of this research is to present a practical archery tool to measure arm strength and muscle power of adult archery athletes. It is the hope of the researcher that this research is continued with a large range of benefits in terms of subject, place and benefits, not only in one category but the tools developed can be used by categories of children and adolescents.
Fourier Analysis on Finite Groups and Applications: Index

Introduction Cast of characters Part I: 1. Congruences and the quotient ring of the integers mod n 1.2 The discrete Fourier transform on the finite circle 1.3 Graphs of Z/nZ, adjacency operators, eigenvalues 1.4 Four questions about Cayley graphs 1.5 Finite Euclidean graphs and three questions about their spectra 1.6 Random walks on Cayley graphs 1.7 Applications in geometry and analysis 1.8 The quadratic reciprocity law 1.9 The fast Fourier transform 1.10 The DFT on finite Abelian groups - finite tori 1.11 Error-correcting codes 1.12 The Poisson sum formula on a finite Abelian group 1.13 Some applications in chemistry and physics 1.14 The uncertainty principle Part II. Introduction 2.1 Fourier transform and representations of finite groups 2.2 Induced representations 2.3 The finite ax + b group 2.4 Heisenberg group 2.5 Finite symmetric spaces - finite upper half planes Hq 2.6 Special functions on Hq - K-Bessel and spherical 2.7 The general linear group GL(2, Fq) 2.8. Selberg's trace formula and isospectral non-isomorphic graphs 2.9 The trace formula on finite upper half planes 2.10 The trace formula for a tree and Ihara's zeta function.
A Review and Meta-analysis of Omics Approaches to Study Preeclampsia

Preeclampsia is a medical condition affecting 5–10% of pregnancies. It has serious effects on the health of the pregnant mother and developing fetus. While possible causes of preeclampsia are speculated, there is no consensus on its etiology. The advancement of big data and high-throughput technologies enables to study preeclampsia at the new and systematic level. In this review, we first highlight the recent progress made in the field of preeclampsia research using various omics technology platforms, including epigenetics, genome-wide association studies (GWAS), transcriptomics, proteomics and metabolomics. Next, we integrate the results in individual omic level and studies, and show that despite the lack of coherent biomarkers in all omics studies, inhibin is a potential preeclamptic biomarker supported by GWAS, transcriptomics and DNA methylation evidence. Using the network analysis on the biomarkers of all literatures reviewed here, we identify four striking sub-networks with clear biological functions supported by previous molecular-biology and clinical observations. In summary, omics integration approach offers the promise to understand molecular mechanisms in preeclampsia.
Longitudinal Associations of US Acculturation With Cognitive Performance, Cognitive Impairment, and Dementia The Sacramento Area Latino Study on Aging

US Latinos, a growing, aging population, are disproportionately burdened by cognitive decline and dementia. Identification of modifiable risk factors is needed for interventions aimed at reducing risk. Broad sociocultural context may illuminate complex etiology among culturally diverse Latinos. Among 1,418 older ( ≥ 60 years), low – socioeconomic position (SEP) Latinos (predominantly of Mexican descent) in Sacramento, California, we examined whether US acculturation was associated with cognitive performance, cognitive decline, and dementia/ cognitive impairment without dementia over a 10-year period and whether education modified the associations (Sacramento Area Latino Study on Aging, 1998 – 2008). Analyses used linear mixed models, competing-risk regression, and inverse probability of censoring weights for attrition. Participants with high US acculturation had better cognitive performance (0.21 fewer cognitive errors at grand-mean-centered age 70 years) than those with low acculturation after adjustment for sociodemographic factors, practice effects, and survey language. Results may have been driven by cultural language use rather than identity factors (e.g., ethnic identity, interactions). Rate of cognitive decline and risk of dementia/cognitive impairment without dementia did not differ by acculturation, regardless of education ( β = 0.00 (standard error, 0.00) and hazard ratio = 0.81 (95% confidence interval: 0.49, 1.35), respectively). High US acculturation was associated with better cognitive performance among these older, low-SEP Latinos. Acculturation may benefit cognition when SEP is low. Future studies should incorporate extended longitudinal assessments among more diverse groups.
Integrated Planning for Distribution Automation and Network Capacity Expansion

Due to the large amount of resources needed for implementing distribution automation systems (DASs), distribution companies (DISCOs) should develop long term plans for this project. Similarly, DISCOs have network capacity expansion (NCX) plans which specify the scheme of constructing the feeders and substations. Since considering DAS may lead to more efficient NCX plans, the planner should revise the NCX plan through the DAS planning. On the other hand, for DAS planning it is necessary to consider a NCX plan as a platform to determine the time and location for installation of automation equipment. Therefore the planner should simultaneously work on two plans, each of them affects the other. To facilitate this complicated planning procedure, this paper presents a novel method for integrated planning for NCX and DAS implementation. The proposed method develops a comprehensive plan in which the optimal scheme and schedule for constructing the lines and substations and installation of automation equipment is specified. To reduce the huge computational burden, an optimization method based on genetic algorithm is proposed. The proposed method is evaluated on an illustrative test network and the obtained results are presented and discussed.
Evaluation of Clinical and Radiological Findings of Patients Diagnosed Spontaneously Intracerebral Hematoma

Amaç: Spontan intraserebral hematom, genellikle hipertansif değişikliklere bağlı, serebral vasküler yapıların rüptürü sonucu serebral parankim içine kanama olmasıdır. İnmelerin sık nedenlerinden olup, mortalite ve morbiditesi oldukça yüksektir. Bu çalışmamızda acile başvuran spontan intraserebral hematomlu olguların demografik, klinik ve radyolojik özelliklerini literatür ışığında analiz ettik. Yöntemler: Bu çalışma, spontan intraserebral hematom tanısı konulan 27’si kadın ve 36’sı erkek olmak üzere toplam 63 hasta üzerinde retrospektif olarak yapıldı. Hastaların; yaş, cinsiyet, eşlik eden sistemik hastalıklar, oral antikoagülan kullanımı, başlangıç GKS’u, nörolojik muayane bulguları, hematomun lokalizasyonu, hematomun volümü gibi verileri incelendi. Bulgular: 63 hastanın %57’si erkek idi. Hastaların %62’si 65 yaş ve üstü idi. Sistemik hastalıklar içinde en sık eşlik eden %46 ile hipertansiyondu. Hastaların %29’u oral antikoagülan kullanıyordu. Sıklıkla bilinç değişikliği (%44) ve motor defisit (%44) ile başvurdular. Hastaların geliş GKS’si % 55 oranında 13- 15 puan arasındaydı. Bilgisayarlı tomografi görüntüleri incelendiğinde hematomların en sık lobar (%47) yerleşimli olduğu izlendi. Hematomların %56’sının volümü 30 cm3’ün altındaydı. Sonuç: Spontan intraserebral hematom tanısında, demografik, klinik ve radyolojik özelliklerin dikkatle incelenmesi oldukça önemlidir. Çalışmamızın retrospektif analizindeki verilerin literatür ile büyük ölçüde paralellik gösterdiğini saptadık. Anahtar Kelimeler: Acil servis, retrospektif, spontan intraserebral kanama