Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Antimicrobial Activity of Silver Sulfadiazine Cosmetotherapeutic Nanolotion for Burn Infections

Burns are highly traumatizing injuries that can be complicated by various microbial infections, leading to morbidity and mortality. The ultimate goal of burn therapy is to prevent any microbial infection and rapid wound healing with epithelization. The current study aimed to develop and investigate the potential of nanoemulsion-based cosmetotherapeutic lotion of silver sulfadiazine (SSD) for increased antimicrobial activity to treat burn injuries. Silver sulfadiazine is the standard topical treatment for burn patients, but is allied with major limitations of poor solubility, low bioavailability, and other hematologic effects, hindering its pharmaceutical applications. The nanoformulation was fabricated through the ultrasonication technique and optimized by selecting various parameters and concentrations for the formation of water-in-oil (w/o) emulsion. The optimized formulation depicts a smaller particle size of 213 nm with an encapsulation efficiency of approx. 80%. Further, nanoemulsion-based SSD lotion by utilizing argan oil as a cosmetotherapeutic agent was prepared for scar massaging with improved permeation properties. The designed cosmeceutical formulation was characterized in terms of physical appearance, refractive index, particle size, encapsulation efficiency, and biocompatibility. The compatibility of the formulation ingredients were determined through FTIR (Fourier Transform Infrared Spectroscopy). The formulated nanolotion containing SSD demonstrated superior antimicrobial activities against different bacterial strains in comparison to commercialized burn creams.
Nonlocal density correlations as a signature of Hawking radiation from acoustic black holes

We have used the analogy between gravitational systems and nonhomogeneous fluid flows to calculate the density-density correlation function of an atomic Bose-Einstein condensate in the presence of an acoustic black hole. The emission of correlated pairs of phonons by Hawking-like process results into a peculiar long-range density correlation. Quantitative estimations of the effect are provided for realistic experimental configurations.
Mixing at terahertz frequency band using YBa2Cu3O7−δ bicrystal Josephson junctions

Using high-Tc Josephson junctions made of YBa2Cu3O7−δ deposited across MgO bicrystal boundary, at terahertz (THz) frequency band, we demonstrated both fundamental and harmonic mixing. Radiation from a far-infrared laser was coupled to the junction, which was integrated with a planar bow-tie antenna, via an extended hyperhemispherical silicon lens. Fundamental mixing manifested itself in the junction’s dc current–voltage (I–V) curve as a third Shapiro step in addition to those two induced by the THz laser lines from a slightly misaligned resonator. In harmonic mixing between a THz laser line and a microwave local oscillator, the highest harmonic number we could get was 490 with a signal-to-noise ratio of 9 dB at the intermediate frequency.
Cohomology of arithmetic subgroups of SL3 at infinity.

The Eilenberg-Mac Laue cohomology H*(F; C) of an arithmetic torsionfree subgroup Γ of SL3 (0) can be studied by its action on the Symmetrie space XSO(3)\SL3 (R). The quotient space Χ/Γ is a 5-dimensional, non-compact complete Riemannian manifold of finite volume. There is a natural compactification Χ/Γ of Χ/Γ, due to Borel-Serre [7], which is a compact manifold with corners. The interior of Χ/Γ is Χ/Γ and the boundary B(^/F) is a disjoint union of faces e'(P) which correspond bijectively to the finite set of F-conjugacy classes of proper parabolic Q-subgroups of SL3(R). Therefore Η*(Γ; C) can be identified with the Singular cohomology spaces H*(X/F; C)~H*(X/F; C). These cohomology spaces can also be analyzed by means of the cohomology of the de Rham complex Ω(Χ) of Γ-invariant smooth C-valued differential forms on X.
Periodontitis, female fertility and conception (Review)

Periodontal disease (PD) has been shown to increase the risk of preterm birth, preeclampsia and low birth weight. These observations have suggested that PD may also affect the early phase of pregnancy, including conception. The present study aimed to evaluate whether an association exists between oral health status and the chance of clinical pregnancy, according to the currently published literature, by performing a systematic review. The PubMed and EMBASE databases were searched from their start dates to October 2021 using the following keywords: ‘Infertility’ OR ‘conception’ OR ‘pre-pregnancy’ OR ‘time-to-pregnancy’ AND ‘periodontitis’ OR ‘periodontal disease’ OR ‘dental infection’ OR ‘gingivitis’ OR ‘odontogenic infection’ (limits: Full article, English, Human). A total of 6 papers reporting observational information on PD and spontaneous (4 studies) or medically induced conception (2 studies) were retrieved. As such, there were limited studies with different designs (randomized controlled trials and observational studies) and different settings. Moreover, in the selected studies, the ethnicity of the women was heterogeneous. According to the limited published literature, oral health might affect fertility in women. However, only results from prospective randomized trials, comparing PD treatment vs. no treatment in women seeking pregnancy, may clarify the real effectiveness of treatment in improving the conception rate.
How teams adapt to exogenous shocks: Experimental evidence with node knockouts of central members

Abstract Researchers have found that although external attacks, exogenous shocks, and node knockouts can disrupt networked systems, they rarely lead to the system’s collapse. Although these processes are widely understood, most studies of how exogenous shocks affect networks rely on simulated or observational data. Thus, little is known about how groups of real individuals respond to external attacks. In this article, we employ an experimental design in which exogenous shocks, in the form of the unexpected removal of a teammate, are imposed on small teams of people who know each other. This allows us to causally identify the removed individual’s contribution to the team structure, the effect that an individual had on those they were connected, and the effect of the node knockout on the team. At the team level, we find that node knockouts decrease overall internal team communication. At the individual level, we find that node knockouts cause the remaining influential players to become more influential, while the remaining peripheral players become more isolated within their team. In addition, we also find that node knockouts may have a nominal influence on team performance. These findings shed light on how teams respond and adapt to node knockouts.
Clinical Outcomes of Ulnar Collateral Ligament Surgery in Nonthrowing Athletes

Background: Ulnar collateral ligament (UCL) surgery continues to demonstrate excellent clinical outcomes and a high return-to-play (RTP) rate with a low complication rate. Recent studies have demonstrated similar clinical outcomes for baseball players who have undergone either UCL reconstruction or UCL repair. In comparison, few studies have assessed the clinical outcomes of UCL surgery for nonthrowing athletes. Purpose/Hypothesis: The primary objective of this study is to provide clinical outcomes of UCL surgery performed in nonthrowing athletes at a single institution with a minimum 2-year follow-up. Our hypothesis was that these patients would have similar clinical outcomes, complication rates, and RTP rates when compared with throwing athletes. Level of Evidence: Case series; Level of evidence, 4. Methods: From our longitudinal elbow registry, 40 nonthrowing athletes were identified who underwent UCL surgery (repair or reconstruction) between 2011 and 2019. Participant characteristics were recorded: age, sex, laterality, arm dominance, sport, level of competition, and type of surgery (UCL repair or reconstruction). Outcomes included RTP rate and average time, American Shoulder and Elbow Surgeons (ASES) scores, and complications. Results: From the 40 patients eligible for inclusion in this study with a minimum 2-year follow-up, 37 (93%) were successfully contacted: 16 male (43%) and 21 female (57%). Mean ± standard deviation age at the time of surgery was 18.0 ± 3.7 years. From the 37 technical procedures, 28 (76%) were UCL repairs and 9 (24%) were UCL reconstructions. For these patients, 15 (41%) had partial tears, 20 (54%) had complete tears, 1 (3%) had a medial epicondyle avulsion, and 1 (3%) had an unspecified pathology. Sports included football (n = 11), gymnastics (11), cheerleading (7), wrestling (4), volleyball (2), basketball (1), and acrobatics (1). Quarterbacks were excluded from the football patients, as quarterbacks are throwing athletes. Level of competition included high school (n = 26), college (8), professional (2), and youth sports (1). The RTP rate was 93% (26/28) at a mean 7.4 months for UCL repair and 100% (9/9) at a mean 10.0 months for UCL reconstruction. Mean ASES scores were 94.4 and 98.7 for UCL repair and reconstruction, respectively. Complications were low, with 2 patients in the UCL repair group requiring ulnar nerve transposition for ulnar nerve paresthesia. Conclusion: In nonthrowing athletes, patients undergoing UCL repair and UCL reconstruction show favorable outcomes at minimum 2-year follow-up. RTP and clinical outcomes are consistent with previous studies in baseball players as well as a parallel ongoing study conducted on non–baseball throwing athletes.
Algorithms for reducing a system of PDEs to standard form, determining the dimension of its solution space and calculating its Taylor series solution

We present several algorithms, executable in a finite number of steps, which have been implemented in the symbolic language maple. The standard form algorithm reduces a system of PDEs to a simplified standard form which has all of its integrability conditions satisfied (i.e. is involutive). The initial data algorithm uses a system's standard form to calculate a set of initial data that uniquely determines a local solution to the system without needing to solve the system. The number of arbitrary constants and arbitrary functions in the general solution to the system is directly calculable from this set. The taylor algorithm uses a system's standard form and initial data set to determine the Taylor series expansion of its solution about any point to any given finite degree. All systems of linear PDEs and many systems of nonlinear PDEs can be reduced to standard form in a finite number of steps. Our algorithms have simple geometric interpretations which are illustrated through the use of diagrams. The standard form algorithm is generally more efficient than the classical methods due to Janet and Cartan for reducing systems of PDEs to involutive form.
Collaboration between Psychiatrists and Other Allied Medical Specialists for the Treatment of Delusional Disorders

Background: There is increasing evidence that individuals with psychosis are at increased risk for cardiovascular disease, diabetes, metabolic syndrome, and several other medical comorbidities. In delusional disorder (DD), this is particularly so because of the relatively late onset age. Aims: The aim of this narrative review is to synthesize the literature on the necessity for medical collaboration between psychiatrists and other specialists. Methods: A non-systematic narrative review was carried out of papers addressing referrals and cooperation among specialists in the care of DD patients. Results: Psychiatrists, the primary care providers for DD patients, depend on neurology to assess cognitive defects and rule out organic sources of delusions. Neurologists rely on psychiatry to help with patient adherence to treatment and the management of psychotropic drug side effects. Psychiatrists require ophthalmology/otolaryngology to treat sensory deficits that often precede delusions; reciprocally, psychiatric consults can help in instances of functional sensory impairment. Close collaboration with dermatologists is essential for treating delusional parasitosis and dysmorphophobia to ensure timely referrals to psychiatry. Conclusions: This review offers many other examples from the literature of the extent of overlap among medical specialties in the evaluation and effective treatment of DD. Optimal patient care requires close collaboration among specialties.
Application of Graphene-Based Nanomaterials as a Reinforcement to Concrete Pavements

Nanomaterials are considered to be one of the game-changing features in the modern world and nanotechnology is mostly reputed as the next-generation industrial revolution due to the extraordinary characteristics possessed by them at their very small scale. Graphene and graphene oxide are two main nanoscale materials that have seen a drastic increase in their use in cement-based composites due to exemptional enhancements in terms of strength and durability that can be imparted to compromise the inherent flaws of concrete and other cementitious composites. The main aim of this study was to investigate the effect of graphene and graphene oxide on improving the performance of cement-based composites and, particularly, of continuously reinforced concrete pavements (CRCP), which is one of the emerging trends in the transport sector due to various advantages they bring in over conventional flexible pavements and unreinforced concrete pavements. Fresh, hardened and durability properties of concrete with graphene-based nanomaterials were studied and the past experimental data were used to predict statistical interferences between different parameters attributed to concrete. According to the review, graphene-based nanomaterials seem to be promising to overcome the various CRCP distresses. Simultaneously, the possibilities and hinderances of using graphene and graphene oxide in cement-based composites as a reinforcement are discussed. Finally, the potential of using graphene in continuously reinforced concrete pavements is explored.
The Effect of Service Quality and Trust on Online Purchasing Decisions at Shopee

This study aims to determine: 1) Service quality affects trust, 2) Trust affects purchasing decisions, 3) Service quality affects purchasing decisions, and 4) There is an indirect influence between service quality and purchase decisions through trust in Shopee online shopping application users. The researcher used a quantitative approach with his analysis tool PLS in this study. This study used data collection techniques through questionnaires. The population of this study is employees of Lombok Astoria Hotel with a total of 110 employees. The study sample was 86 employees using the random sample method. The results of this study show that: 1) Service quality has a positive and significant effect on trust, 2) Trust has a positive and significant effect on purchasing decisions, 3) Service quality has a positive and significant effect on purchasing decisions, 4) Positive and significant influences on service quality on purchasing decisions through trust. These results show that the quality of service and trust can influence consumers in making purchasing decisions.
Pterostilbene Fails to Rescue Insulin Secretion and Sensitivity in Multiple Murine Models of Diabetes

Diabetes incidence is rising globally at an accelerating rate causing issues at both the individual and societal levels. However, partly inspired by Ayurvedic medicine, a naturally occurring compound called pterostilbene has been demonstrated to protect against diabetes symptoms, though mainly in rats. The purpose of this study was to investigate the putative protective effect of pterostilbene on the two main aspects of diabetes, namely insulin resistance and decreased insulin secretion, in mice. To accomplish this, we employed diet-induced obese as well as streptozotocin-induced diabetic C57BL/6NTac mice for fasting glucose homeostasis assessment, tolerance tests and pancreas perfusions. In addition, we used the polygenic model of diabetes TALLYHO/JngJ to assess for prevention of β-cell burnout. We found that the diet-induced obese C57BL/6NTac mice were insulin resistant, but that pterostilbene had no impact on this or on overall glucose regulation. We further found that the reported protective effect of pterostilbene against streptozotocin-induced diabetes was absent in C57BL/6NTac mice, despite a promising pilot experiment. Lastly, we observed that pterostilbene does not prevent or delay onset of β-cell burnout in TALLYHO/JngJ mice. In conjunction with the literature, our findings suggest variations in the response to pterostilbene between species or between strains of species.
Mapping the Prevalence of COVID-19 Vaccine Acceptance at the Global and Regional Level: A Systematic Review and Meta-Analysis

Despite the availability of effective and safe vaccines, the acceptance of COVID-19 vaccination is suboptimal. In this meta-analysis we quantified the prevalence estimates of COVID-19 vaccine acceptance with a specific focus on worldwide geographical differences. We searched PubMed, Scopus, Web of Science and PsycInfo up to April 2021 (PROSPERO ID: CRD42021235328). Generalized random-effects linear models with a logit link were used to calculate the pooled estimated rate of vaccine acceptance at both the global and regional level. A meta-regression analysis was performed to assess the association between COVID-19 vaccine acceptance and various characteristics of the studies. Overall, 71 articles yielding 128 prevalence estimates were included. The pooled prevalence of COVID-19 vaccination acceptance rate was 66% (95% CI: 61–71%). This varied by geographic area, ranging from 36% (95% CI: 18–60%) in Africa to 83% (95% CI: 82–84%) in Oceania, and there was high variability between countries (15.4% Cameroon–100% Bhutan). Meta-regression analysis showed that studies that investigated COVID-19 vaccination intentions using multiple choice/scoring gave a vaccine acceptance prevalence lower than studies with only two possible answers (yes/no) (ß: −1.02 95% CI: −1.41 to −0.63). Despite some variation in the estimates, the results showed that one in three people may refuse/delay COVID-19 vaccination.
Parameter Set Inference in a Class of Econometric Models

We provide new methods for inference in econometric models where the parameter of interest is a set. These models arise in many situations where point identification requires strong (and sometimes untestable) assumptions. Every parameter vector in the set of interest represents a feasible economic model that generated the data. Our point of departure is {\it set} $\Theta_I$ that minimizes a given population criterion function $Q(\theta)$. To obtain valid inferences on $\Theta_I$, we characterize first the large sample properties of the sample criterion function $Q_n(\theta)$. These are then used to construct confidence sets for $\Theta_I$ that contain this set with a given prespecified probability. The method we use picks an appropriate level set of the objective function by ``cutting off'' this function at a level that corresponds to an appropriately chosen percentile of a key ``coverage statistic. " This is a likelihood ratio type quantity (and reduces to the usual likelihood ratio when the set $\Theta_I$ is a singleton). Our confidence set then is an appropriately chosen level set of the objective function. This general framework is illustrated in two important examples: regressions where data on outcomes is observed in intervals, and method of moments where the criterion function is minimized on a set. A subsampling procedure that is used to obtain the asymptotic critical values for the coverage statistic is provided and shown to be consistent. For the two examples, we also provide indirect bootstrap procedures that are based on resampling a dual statistic that has the same asymptotic distribution as the coverage statistic. We illustrate our methods in an empirical example of returns to schooling using data from the CPS
Deontic Logic: Introductory and Systematic Readings

Deontic Logic: An Introduction. - New Foundations for Ethical Theory. - Some Main Problems of Deontic Logic. - A New System of Deontic Logic. - An Analysis of Some Deontic Logics. - Some Logics of Commitment and Obligation. - Deontic Logic and the Theory of Conditions. - Index of Names. - Index of Subjects.
Events, Phrases, and Questions

1. Introduction PART I: THE STRUCTURE OF EVENTS 2. The Variable Size of Events 3. Single Events From Multiple Verb Phrases and the Role of Agentivity 4. Structures Built From Events PART II: EVENTS AND LOCALITY 5. Where We Stand 6. Extraction From Adjuncts 7. Extraction From Complement Clauses and rhe Effect of Tense 8. Architectural Issues 9. Conclusion References Author Index Subject Index
Resilience of the European Union Economies. An Analysis of the Granger Causality at the Level of the Gross Domestic Product

Gross Domestic Product (GDP) is one of the most important indicators that reflects the evolution and resilience of national economies. The importance of this macroeconomic indicator is growing in the current economic context, context in which international studies start to emphasize the importance of resilience and sustainable development and in which the GDP can be seen either as an obstacle to sustainability, or a tool to protect the environment and achieve the resilience and sustainability goals. Consequently, the authors consider that understanding the formation of the GDP and the elements that exert an influence on it, remains of vital importance for the economy of a country or group of countries. The objective of the paper is to see if some of the indicators that are used to determine the GDP, respectively final consumption expenditure of general government, final consumption expenditure of households, gross fixed capital formation, changes in inventories, external balance - goods, external balance - services, wages and salaries and, respectively, employers' social contributions, together with two indicators of final energy consumption, are Granger causing the GDP. The results obtained will indicate whether GDP can be predicted at a highly accurate level, by using not only the previous values of the GDP, but also the previous values of determining variables, and will also contribute to highlight those elements that have such an impact on the GDP, in order to better estimate its evolution and to have the possibility to influence its future values. To achieve the objective of the research, an approach based on the Toda-Yamamoto method of the Granger causality has been used, for the period 1995-2019, to evaluate the causality links in European Union-28 and the 28 countries member of the EU in 2019. The results obtained show that, for the geographical and time dimensions studied in this paper, the influence of the previously mentioned causal factors (in Granger's acceptance) can be characterized as a causality in Granger sense only in a small number of cases. Thus, the Granger causality is demonstrated for the GDP of Netherlands (factor of influence, "final consumption expenditure of general government"), of the Republic of Cyprus (causal variables, "final consumption expenditure of households" and the "changes in inventories"), and also of the Czech Republic, Estonia, Latvia and Portugal (for the factor "final consumption expenditure of households"). In Portugal, the "external balance - goods" causes, in Granger sense, the GDP, while "wages and salaries" are emphasized ad influence factors of Granger causality type for Latvia and Slovakia. It has not been observed the existence of the Granger causality for the indicators "gross fixed capital formation", "external balance - services", "employers' social contributions", "final energy consumption - total" and "final energy consumption - industry".