Miracle-dz/UniFAR-FTUs huggingface dataset:
Independent and Combined Associations of 677C/T and 1298A/C Polymorphisms in the MTHFR gene with Breast Cancers in a South-Asian Population

MTHFR is a pivotal enzyme in the folic acid cycle. Two functional SNPs (677C/T and 1298A/C), which affect the function of the MTHFR, are associated with different cancers. In the present study, these SNPs were investigated in breast cancer patients from the Pakistani population. The pilot study includes 187 participants with 124 breast cancer patients and 63 medically confirmed healthy individuals as controls. PCR-RFLP methods validated by Sanger sequencing were used for the polymorphic investigations. Here, we report the significant and unique associations of these polymorphisms with breast cancers in a South-Asian population for the first time in the literature. The case-control analysis showed that in case of 1298A/C polymorphism, a significant protective effect of homozygous C genotype was observed in recessive [CC vs AA+AC; OR: 0.320 (95% CI: 0.259- 0.397)] and homozygous co-dominant [CC vs AA; OR 0.379 (95% CI: 0.273 - 0.527)] models. In the case of 677C/T analysis, no significant association was observed with the risk of breast cancers. However, homozygous T genotype was more frequent in the advanced age group (>35 years) patients as compared to the young age-group (<35 years) i.e. 6.7% vs 0%. The combined genotype analysis at two loci revealed that 677CC+1298AC [OR: 2.688 (95% CI: 1.247-5.795)] and 677CT+1298AA [OR. : 20.91 (95% CI: 1.156-378.2)] increased risk of breast cancers, significantly. The latter association (677T*1298A) was also observed in a semi-parametric haplotype analysis (p-value: 0.03). The study indicates translational applications of these polymorphisms against breast cancers in the studied population.
A novel bioactive fabric dyed with unripe Citrus grandis Osbeck extract part 1: dyeing properties and antimicrobial activity on cotton knit fabrics

In order to explore the potential use of Citrus grandis Osbeck in biomedical applications for improving human’s skin health, cotton knit fabric was dyed with the citrus extract under varied conditions including temperature, duration, pH, and dye concentration and evaluated for fastness and antimicrobial activity. The fabric was optimized for maximum dye uptake at a pH of 3, dyeing temperature of 60 � C, dyeing duration of 60min, and dye concentration of 800% owf. The dye fastness to rubbing, washing, perspiration, and light were reasonably good for 800% owf dyed fabrics. In terms of antimicrobial efficacy, fabric dyed with the high concentration showed excellent bacterial reduction rates against Staphylococcus aureus for up to five repetitions of laundering, which implies there is a need to improve antimicrobial durability. In a following work, the optimally dyed fabric will be tested for in-vivo dermal effects.
Binding of Acetylcholine and Quaternary Ammonium Cations to Macrocyclic and Acyclic “Phane” Esters. Evaluation of the Cation−π Primary Interaction through Adaptive Aromatic Hosts

A family of adaptive macrocyclic and acyclic “phane” esters has been designed to systematically investigate the interaction between aromatic rings and quaternary ammonium cations in the absence of superimposed contributions, such as hydrophobic, ion-pairing, macrocyclic, and preorganization contributions, to quantitatively evaluate the primary force at the origin of the cation−π interaction. The unprecedented association with open-chain and cyclic nonpreorganized aromatic hosts in solution is reported, including the remarkable case of binding to phenylacetate ester, that allowed the direct evaluation of the interaction with a single phenyl ring. The magnitude of the cation−π attraction has been measured in CDCl3 at T = 296 K for picrate salts of acetylcholine (ACh) and tetramethylammonium (TMA), the latter showing the strongest interaction with cyclophane 1b (8.3 kJ mol-1). Results unambiguously confirmed that the basic driving force is a purely electrostatic attraction between the permanent charge of the.
Remarks on the Electrochemical Potential of Small Silver Clusters in Aqueous Solution

Silver clusters in aqueous solutions containing excess Ag+ ions may be regarded as tiny metal-electrodes. The electrochemical standard potentials of metal electrode equilibria Agn⇆Agn-1 + Ag+ + e− are much more negative than that of the compact silver-metal electrode. The potential generally strives toward the value of the compact electrode with increasing agglomeration n of the particles, although a strong oscillation occurs in the n = 1 to 3 range. The trend is opposite to the size dependence of the ionization potential in vacuo. The main factor determining the redox potential in solution is not the hydration of the clusters {as one may suppose at first sight} but the binding energy of a silver atom in a cluster. — The electrochemical potentials of equilibria of the type Agn⇆Agn + e− and Agn−⇆Agn + e− are also discussed. — It is pointed out that results from photoionization experiments on clusters in vacuo would importantly improve our present knowledge of the electrochemistry of clusters.
Building a Sample Frame of SMEs Using Patent, Search Engine, and Website Data

Abstract This research outlines the process of building a sample frame of US SMEs. The method starts with a list of patenting organizations and defines the boundaries of the population and subsequent frame using free to low-cost data sources, including search engines and websites. Generating high-quality data is of key importance throughout the process of building the frame and subsequent data collection; at the same time, there is too much data to curate by hand. Consequently, we turn to machine learning and other computational methods to apply a number of data matching, filtering, and cleaning routines. The results show that it is possible to generate a sample frame of innovative SMEs with reasonable accuracy for use in subsequent research: Our method provides data for 79% of the frame. We discuss implications for future work for researchers and NSIs alike and contend that the challenges associated with big data collections require not only new skillsets but also a new mode of collaboration.
Explosives Detection Using Direct Analysis in Real Time (DART) Mass Spectrometry

The growing use of explosives by terrorists and criminals creates a need for instrumentation which can rapidly analyze these energetic compounds, preferably on site. Direct analysis in real time (DART) is a promising technology for surface analysis with little or no sample preparation. Therefore, DART ionization is evaluated for use in detecting explosives on solid substrates and in liquid matrices. Fifteen explosives were chosen as a consequence of their common usage. Five surfaces were chosen to represent a wide range of physical properties such as composition, porosity, surface morphology, and thermal and electrical conductivity. Additionally these surfaces are commonly found in everyday surroundings. All 75 compound-surface combinations produced a clear, easily identifiable, mass spectra characteristic of the targeted analyte. Simultaneous detection of five explosives is demonstrated on these same surfaces. Lastly, rapid detection of trace contamination in common fluids is also explored.
DIDroid: Android Malware Classification and Characterization Using Deep Image Learning

The unrivaled threat of android malware is the root cause of various security problems on the internet. Although there are remarkable efforts in detection and classification of android malware based on machine learning techniques, a small number of attempts are made to classify and characterize it using deep learning. Detecting android malware in smartphones is an essential target for cyber community to get rid of menacing malware samples. This paper proposes an image-based deep neural network method to classify and characterize android malware samples taken from a huge malware dataset with 12 prominent malware categories and 191 eminent malware families. This work successfully demonstrates the use of deep image learning to classify and characterize android malware with an accuracy of 93.36% and log loss of less than 0.20 for training and testing set.
Disrupted Salience and Cingulo-Opercular Network Connectivity During Impaired Rapid Instructed Task Learning in Schizophrenia

Rapid instructed task learning (RITL) is the uniquely human ability to transform task information into goal-directed behavior without relying on trial-and-error learning. RITL is a core cognitive process supported by functional brain networks. In patients with schizophrenia, RITL ability is impaired, but the role of functional network connectivity in these RITL deficits is unknown. We investigated task-based connectivity of eight a priori network pairs in participants with schizophrenia (n = 29) and control participants (n = 31) during the performance of an RITL task. Multivariate pattern analysis was used to determine which network connectivity patterns predicted diagnostic group. Of all network pairs, only the connectivity between the cingulo-opercular network (CON) and salience network (SAN) during learning classified patients and control participants with significant accuracy (80%). CON-SAN connectivity during learning was significantly associated with task performance in participants with schizophrenia. These findings suggest that impaired interactions between identification of salient stimuli and maintenance of task goals contributes to RITL deficits in participants with schizophrenia.
Content Analysis of Equity, Diversity, and Inclusion in the Recreational Sports Journal, 2005–2019

While its content and editorial decisions are independent of NIRSA, the Recreational Sports Journal is NIRSA’s scholarly communication outlet and supported by the NIRSA Foundation. Both the organization and journal share a common interest in shaping the future of college recreational sports programs. In response to and reflective of growing diversity on college campuses, that future prioritizes equity, diversity, and inclusion. This study sought to determine the extent that equity, diversity, and inclusion content has appeared in the Recreational Sports Journal during the time period of May, 2005–April, 2019. A retrospective content analysis was conducted on 200 research articles from the journal. To date, equity, diversity, and inclusion has not been addressed in a meaningful way, at least in this forum and during this time period. There is an urgent need for researchers to address this void. The journal is encouraged to assert greater influence in shaping this future.
Challenging Anti-Black Racism in Everyday Teaching, Learning, and Leading: From Theory to Practice

Anti-Black racism and White supremacy continue to have dire impact on the lives and educational outcomes of Black people and students in educational spaces. Examining ways in which this form of racism is disrupted, confronted, and challenged in education and schooling is important not only to Black students, scholars, practitioners, and staff, but to all People of Color. Drawing on research conducted with educators in, Canada, the United States and our lived experiences as Black educators this article examines how antiblackness and anti-Black racism is manifested in schooling spaces through teaching, learning, and leadership, and offers actions that educators can take in everyday practice to confront and disrupt. In so doing connect theory to practice, and offer possibilities that school leaders and others can act on.
Racial Discrimination Predicts Mental Health Outcomes Beyond the Role of Personality Traits in a Community Sample of African Americans

Despite a consistent body of work documenting associations between racial discrimination and negative mental health outcomes, the utility and validity of these findings have recently been questioned because some authors have posited that personality traits may account for these associations. To test this hypothesis in a community sample of African Americans (n = 419, age: M = 43.96 years), we used bivariate relations and hierarchical regression analyses to determine whether racial discrimination accounted for additional variance in depression, anxiety, and posttraumatic stress symptoms beyond the role of personality. Bivariate relations between personality traits and racial discrimination were small and positive (i.e., rs ≈ .10). Regression results demonstrated that racial discrimination accounted for variance in depression, anxiety, and posttraumatic stress independent of personality traits (ps < .01). These results suggest that personality traits do not fully explain associations between racial discrimination and negative mental health outcomes, further supporting the detrimental impact of racial discrimination on the mental health of African Americans.
Impaired Autobiographical Memory Flexibility in Iranian Trauma Survivors With Posttraumatic Stress Disorder

Reduced ability to retrieve specific autobiographical memories is a well-defined feature of posttraumatic stress disorder (PTSD), and science-driven interventions have emerged to improve memory specificity and thereby symptoms. However, research in depressed samples indicates that the ability to flexibly move between retrieval of specific and general memory types (i.e., memory flexibility) may more accurately conceptualize autobiographical memory deficits in emotional disturbance. In this study, we evaluated memory specificity and memory flexibility in Iranian trauma survivors (N = 63) with and without PTSD relative to community control participants. Trauma-exposed participants had experienced a serious road-traffic accident. Results indicated that individuals with PTSD experienced reduced memory specificity and memory flexibility relative to trauma-exposed participants and community control participants. A small sample size limits the strength of conclusions, although good statistical power was obtained. Findings suggest that reduced memory flexibility may be a transdiagnostic marker of emotional disturbance and support further development of memory flexibility interventions for PTSD.
Ritualistic Consumption Decreases Loneliness by Increasing Meaning

Despite the prevalence of both chronic and transient loneliness and the detrimental consequences associated with them, as a negatively valenced response to social exclusion, loneliness has received surprisingly little attention in the marketing literature. Drawing on research showing that lonely people often lack meaning in their life, the authors propose that ritualistic behavior that involves consumer products may reduce loneliness by increasing meaning in life. Specifically, a series of studies finds that engaging in even minimal, unfamiliar rituals reduces loneliness among lonely consumers. The results support the important role of meaningfulness. The authors find that the effect of rituals on loneliness is mediated by meaning in life via perceived product meaningfulness. They also find that ritualistic behavior no longer affects loneliness when the experience of meaningfulness can be derived incidentally.
Components of Emotion Regulation Flexibility: Linking Latent Profiles to Depressive and Anxious Symptoms

Emotion regulation flexibility has been conceptualized as a multicomponent construct that consists of context sensitivity, repertoire, and feedback responsiveness. Although individuals with greater abilities in each component show better psychological adjustment, the patterns of these components remain unknown. In two cross-sectional MTurk studies (Ns = 200 and 802), we identified four or five predominant latent profiles: high-flexibility regulators (HFR), medium-flexibility regulators (MFR), context-insensitive regulators (CIR), feedback-irresponsive regulators (FIR), and low-repertoire regulators (LRR; Study 2 only). Inflexible regulators (CIR, FIR, and LRR) exhibited greater depressive and anxious symptoms than MFR and then HFR. Although inflexible regulators did not differ from each other on depressive symptoms, CIR showed more anxious symptoms than FIR and LRR. These findings support the importance of all three flexibility components with a highlight on context sensitivity and, moreover, suggest one potential way in which future studies can integrate various flexibility components.
Surface Temperature Effects on Dissociative Chemisorption of H2 on Cu(100)

At present, much remains unknown about the effect surface phonons and surface temperature may have on the reactivity of molecules at surfaces. Here, this problem is addressed for the dissociation of H2 on copper, which is a benchmark system for activated dissociative chemisorption on a metal surface. Ab Initio Molecular Dynamics (AIMD) calculations, quantum dynamics calculations using a static surface model, and experiments are reported and compared on the effects of surface temperature (Ts) on the initial state-selected reaction of (v = 0, j = 8) and (v = 1, j = 4) H2 scattering from Cu(100) and the orientational dependence of this process, at Ts = 1030 K. In the theory, the specific reaction parameter approach to density functional theory (SRP-DFT) was used. The rotational quadrupole alignment parameters computed for H2 reacting on the hot Cu(100) surface (1030 K) are smaller than the values computed with a static surface model. The initial state-selected reaction probabilities computed with AIMD for th.
Sélection de levure en vue de la culture sur lactosérum

La production de levures aliments sur lactoserum deproteine a pris de l'extension depuis le depot d'un brevet Bel (brevet n1128063 des fromageries Bel). Cette production est une operation extremement rentable, susceptible de donner des quantites importantes de proteines d'excellentes qualites. La valeur dietetique de ces levures est reconnue en alimentation humaine comme en alimentation animale. C'est le cas notamment des levures appartenant a l'espece Kluyveromyces fragilis dont la composition est bien connue (Cedibel, 1968). Ces levures constituent un important apport nutritionnel par Ieur richesse protidique (45-50p. 100) et vitaminique (thiamine, riboflavine) ainsi que par leur teneur en oligo-elements, en phosphore et en acides gras insatures. En effet, pour l'espece Kluyveromyces fragilis les acides linoleique et linolenique representent respectivement 38 p. 100 et 10p. 100 des acides gras totaux (Moulin et al., 1973). Les acides gras polyinsatures rendent plus difficile la conservation du produit, meme si certains d'entre eux sont d'un grand interet dietetique. Nous avions montre dans une etude precedente (Moulin et al., 1973) qu'il est possible de reduire la quantite de lipides dans les cellules de levure en intervenant au niveau des conditions de culture. Nous avions observe aussi des variations importantes entre souches. Dans le present travail nous avons etudie la composition en acides gras de souches de levure metabolisant le lactose.
GREEN SYNTHESIZED SILVER NANOPARTICLES AND THEIR POTENTIAL FOR ANTIBACTERIAL APPLICATIONS

Multi-drug resistance is a growing problem in the treatment of infectious diseases and the widespread use of broad-spectrum antibiotics has produced antibiotic resistance for many human bacterial pathogens. Recent advancements in nanotechnology-based medicines have opened new horizons for combating multidrug resistance in microorganisms, allowing the synthesis of nanoparticles that can be assembled into complex architectures. Novel studies and technologies are devoted to understanding the mechanisms of disease for the design of new drugs. The use and search for drugs obtained from plants and other natural products have increased in recent years, but unfortunately infectious diseases continue to be a major health burden worldwide. Since ancient times, silver was known for its anti-bacterial effects and for centuries it has been used for prevention and control of disparate infections. In particular, the use of silver nanoparticles (AgNPs) as a potent antibacterial agent has received much attention. AgNPs exhibits their antimicrobial potential through multifaceted mechanisms. On the other side, AgNPs exposure to human cells induces cytotoxicity, genotoxicity and inflammatory response in human cells in a cell-type dependent manner. This has raised concerns regarding use of AgNPs in therapeutics and drug delivery. This paper aims to critically review AgNPs from the perspectives of research trends, global consumption, synthesis, properties and future challenges. Generally, AgNPs can be synthesized using three methods, namely physical, chemical and biological and the related works as well as their numerous advantages and disadvantages are presented in this review. In addition, AgNPs can be potentially explored for various applications. Future challenges on (AgNPs) synthesis, their release into the environment and scaling up production, as presented in the review, suggest that several potential topics for future works are available to promote a safer and more efficient use of these nanoparticles.
The Improved Energy Efficient LEACH Protocol Technology of Wireless Sensor Networks

The most important factor within the wireless sensor network is to have effective network usage and increase the lifetime of the individual nodes in order to operate the wireless network more efficiently. Therefore, many routing protocols have been developed. The LEACH protocol presented by Wendi Hein Zelman, especially well known as a simple and efficient clustering based routing protocol. However, because LEACH protocol in an irregular network is the total data throughput efficiency dropped, the stability of the cluster is declined. Therefore, to increase the stability of the cluster head, in this paper, it proposes a stochastic cluster head selection method for improving the LEACH protocol. To this end, it proposes a SH-LEACH (Stochastic Cluster Head Selection Method-LEACH) that it is combined to the HEED and LEACH protocol and the proposed algorithm is verified through the simulation.
DISPLACEMENT-BASED DESIGN OF SHALLOW FOUNDATIONS WITH MACROELEMENT

The scope of this paper is to demonstrate the utility of macroelement modeling of shallow foundations in performance-based design. We focus on the settlements, horizontal displacements and rotations of a bridge pier founded on a rigid circular foundation on a relatively soft cohesive soil. A newly developed macroelement model is used for the description of the footing-soil system. Its objective is to reproduce the geometric (uplift of the footing) and material non-linearities (soil plasticity) that arise at the foundation level during a seismic excitation. The utility of macroelement modeling resides in the fact that it allows for the execution of a large number of non-linear dynamic analyses of the pier under the horizontal and vertical components of real acceleration time histories as well as under the combination of both. The results concentrate on two main points: the in‰uence of the vertical component of the seismic input motion on the maximum and residual displacements of the foundation and on a discussion of possible correlations between the induced displacements at the foundation level and certain parameters describing the severity of the seismic input motion.