Miracle-dz/UniFAR-FTUs huggingface dataset:
Ultraclean wafer-level vacuum-encapsulated silicon ring resonators for timing and frequency references

Abstract. We present the design and development of breath-mode silicon ring resonators fabricated using a commercial pure-play microfabrication process that provides ultraclean wafer-level vacuum-encapsulation. The micromechanical resonators are fabricated in MEMS integrated design for inertial sensors process that is developed by Teledyne DALSA Semiconductor Inc. The ring resonators are designed to operate with a relatively low DC polarization voltage, starting at 5 V, while providing a high frequency-quality factor product. We study the quality of the vacuum packaging using an automated testing setup over an extended time period. We study the effect of motional resistance on the performance of MEMS resonators. The fabricated devices had a resonant frequency of 10 MHz with the quality factor exceeding 8.4×104.
EXPLICIT SURJECTIVITY RESULTS FOR DRINFELD MODULES OF RANK 2

Let $K=\mathbb{F}_{q}(T)$ and $A=\mathbb{F}_{q}[T]$ . Suppose that $\unicode[STIX]{x1D719}$ is a Drinfeld $A$ -module of rank $2$ over $K$ which does not have complex multiplication. We obtain an explicit upper bound (dependent on $\unicode[STIX]{x1D719}$ ) on the degree of primes ${\wp}$ of $K$ such that the image of the Galois representation on the ${\wp}$ -torsion points of $\unicode[STIX]{x1D719}$ is not surjective, in the case of $q$ odd. Our results are a Drinfeld module analogue of Serre’s explicit large image results for the Galois representations on $p$ -torsion points of elliptic curves (Serre, Propriétés galoisiennes des points d’ordre fini des courbes elliptiques, Invent. Math. 15 (1972), 259–331; Serre, Quelques applications du théorème de densité de Chebotarev, Inst. Hautes Etudes Sci. Publ. Math. 54 (1981), 323–401. ) and are unconditional because the generalized Riemann hypothesis for function fields holds. An explicit isogeny theorem for Drinfeld $A$ -modules of rank $2$ over $K$ is also proven.
Genetic Identification of Two Mudskipper Species (Oxudercidae: Periophthalmus) from Kulon Progo, Special Region of Yogyakarta, Indonesia

Mudskippers are commonly cryptic species, making identification based solely on morphological characteristics challenging. This study used the DNA barcoding method to identify mudskipper species based on the COI mitochondrial gene. The analysis revealed two distinct species, P. kalolo (20 samples) and P. argentilineatus (3 samples) with high GC contents ranging from 42.94-45.2%. The genetic divergence analysis of P. kalolo showed that they divided into two clades, while P. argentilineatus is divided into three clades with two of the clades (C and D) still conspecific groups, and those two clades with clade E exhibit a genetic distance greater than 3.5%, suggesting the presence of cryptic species. These findings provide valuable insights into the intraspecies genetic diversity of mudskippers in Indonesia, which could have essential implications for conservation efforts and highlight the potential of DNA barcoding as a powerful tool for the identification of cryptic species. Further research combining molecular and morphological identification could lead to a more comprehensive understanding of species identification and help address the challenges posed by cryptic species.
Chiral Waveguides for Robust Waveguiding at the Deep Subwavelength Scale

Routing electromagnetic energy at a scale smaller than the wavelength is a highly sought functionality in a variety of applications, including compact lightweight satellite communications, slow-waves sensors, all-optical information processing, and energy harvesting. Unfortunately, strong field confinement at this scale requires the use of coupled subwavelength resonators, implying a large sensitivity to geometrical imperfections and disorder-induced backscattering. We propose a very unconventional solution to this problem by exploiting the interface modes occurring at the boundary between two chiral metamaterials composed of resonant metamolecules with opposite chirality. Our numerical and experimental results demonstrate the inherent robustness of these interface states to disorder in both the position and resonance frequency of the metamaterial’s meta-atoms. By computing transmission averages over many realizations of disorder, we quantitatively demonstrate the superiority of this form of subwavelength routing over previously proposed designs, including frequency-defect lines, symmetry-based topological edge modes, and Valley-Hall interface states.
Implications in caring for a sick family member: black women caregivers

: Introduction: The disadvantages linked to the female gender are viewed in different aspects of life, through patriarchy. It is possible to understand that, in the case of black women, they are disadvantaged in the face of social structures, crossed by class, race and gender conditioning factors. In addition, it is seen that, in several cases, female caregivers, especially black women, do not voluntarily choose this role within the family environment. Objective: To identify the implications of care for a sick family member performed by black women caregivers considering their sociocultural conditions. Methodology: This work is an integrative review, whose search in the database was carried out in December 2020, where 3 results were found in the Web of Science database, 48 in the PubMed database and 29 in the LILACS database. After reading the abstracts of the 80 articles and applying the exclusion criteria, 7 articles were selected for full reading. Finally, 4 articles were included for analysis. Results: Only one study exclusively addressed women, and most were African Americans. Data indicate that, within a quilombola community, health care is passed on from the oldest to the youngest, as a symbol of respect for ancestral knowledge. In addition, it became evident that African-American caregivers of people with dementia need quality information about care and self-care, requiring resources in their community. Conclusion: It is possible to notice the inequalities according to the historical, political and cultural constructions caused, in order to differentiate men and women in family care. There is a need for debates that focus on the black population, especially caregivers, aiming at strategies to reduce their burden to care for sick family members.
Forensic Odor Analysis: Current Application in Postmortem Examinations

: Postmortem examinations are crucial in understanding the events surrounding death in medico-legal applications. While traditional autopsy procedures and visual examinations represent the routine processing scheme, a novel tool that has emerged in forensic applications is odor analysis. With respect to postmortem examination applications, the use of odor analysis has catapulted into understanding volatile odor signatures indicative of distinctive human decomposition stages. In turn, this quest for the decomposition odor signature has shed light into understanding the chemical characterization of target odor volatiles emitted by a range of sources available in the postmortem window. This review introduces the use of odor evidence in general forensic practices and provides a brief synopsis of the principles of odor and its subsequent laboratory analysis. A short description of the decomposition process is provided, followed by a review of recent trends in analytical studies that have embarked on using volatile odor profiles to enhance various postmortem examination perspectives. postmortem/decomposition processes but also contributes for detection technology development as is seen with the use of cadaver dogs for victim identification. 4,5 This paper highlights the existing applications of odor analysis in general forensic practices, briefly exploring odor sources and analysis techniques. We then provide a succinct synopsis of the human decomposition process as it is key to understanding odor sampling techniques with respect to postmortem applications. A review of recent trends in sample specimens is then highlighted to represent studies that have embarked on using volatile odor profiles to enhance various postmortem analysis perspectives. odor profile can improve the prediction of VOC trends in the decomposition timeline and enhance postmortem examinations.
NON-INTRUSIVE SENSING IN TURBULENT BOUNDARY LAYERS VIA DEEP FULLY-CONVOLUTIONAL NEURAL NETWORKS

Flow-control techniques are extensively studied in ﬂuid mechanics, as a means to reduce energy losses related to friction, both in fully-developed and spatially-developing ﬂows. These techniques typically rely on closed-loop control systems that require an accurate representation of the state of the ﬂow to compute the actuation. Such representation is generally difﬁcult to obtain without perturbing the ﬂow. For this reason, in this work we propose a fully-convolutional neural-network (FCN) model trained on direct-numerical-simulation (DNS) data to predict the instantaneous state of the ﬂow at different wall-normal locations using quantities measured at the wall. Our model can take as input the heat-ﬂux ﬁeld at the wall from a passive scalar with Prandtl number Pr = ν / α = 6 (where ν is the kinematic viscosity and α is the thermal diffusivity of the scalar quantity). The heat ﬂux can be accurately measured also in experimental settings, paving the way for the implementation of a non-intrusive sensing of the ﬂow in practical applications.
Estimating the prevalence of oral manifestations in COVID-19 patients: a systematic review

Objectives Patients with coronavirus disease 2019 (COVID-19) present with a variety of oral manifestations. Therefore, we conducted a systematic review to estimate the prevalence of oral lesions among COVID-19 patients. Methods An extensive literature search of several electronic bibliographic databases (PubMed, Scopus, Science Direct, Litcovid) was conducted to retrieve all articles published in the English language from January 1, 2020 to March 31, 2023 that reported the prevalence of oral manifestations among COVID-19 patients. A meta-analysis of pooled prevalence was performed using Jamovi ver. 2.3 (2022). The I2 and Q statistics were used to assess heterogeneity between studies, and p-values <0.01 were considered statistically significant. Results In total, 79 studies with data from 13,252 patients were included. The articles were predominantly published in 2020 (n=33), and Italy was the most common country (n=14). Most of the affected patients more than 50 years old and women (56.6%). The most common sites of involvement were the tongue (n=65), followed by the oral mucosa (n=37) and lips (n=19). High heterogeneity was found between studies. The most common oral manifestation was taste alteration, followed by xerostomia and ulceration, showing pooled prevalence rates of 48%, 35%, and 21%, respectively. Conclusion COVID-19 patients show various oral manifestations that may help clinicians identify the disease promptly. Recognition of the signs and symptoms of COVID-19 is critical for an early diagnosis and better prognosis.
On Reality and the Limits of Language Data: Aligning LLMs with Human Norms

Recent advancements in Large Language Models (LLMs) harness linguistic associations in vast natural language data for practical applications. However, their ability to understand the physical world using only language data remains a question. After reviewing existing protocols, we explore this question using a novel and tightly controlled reasoning test (ART) and compare human norms against versions of GPT-3. Our findings highlight the categories of common-sense relations models that could learn directly from data and areas of weakness. GPT-3 offers evidence for verbal reasoning on a par with human subjects for several relations including Synonymy, Antonymy, and Default inheritance, Without reinforcement learning from human judgements, it appears GPT-3 performs at the lower end of the reference interval for Has-part and Contained-in. Weaknesses were observed also in affordance characteristics through Necessary-quality, Order-of-size and Order-of-intensity. Combining LLMs with symbolic world grounding is a promising direction to address associative learning.
Are mental health problems associated with use of Accident and Emergency and health-related harm?

BACKGROUND Previous findings indicate that mental health problems are common in Emergency departments; however, there are few studies of the extent of health-related problems and emergency service use in mental health populations as a whole. METHODS Record linkage methods were used to map the association between mental health, age, gender, and health-related harm across total health and mental health care populations in one geographical area, over three years. By examining patterns of health-related harm, an accurate profile of mentally ill Emergency patients was generated enabling identification of factors that increased vulnerability to harm. RESULTS Of the total population of 625 964 individuals, 10.7% contacted Accident and Emergency (A&E) over three years, this proportion rose to 28.6% among the total secondary care mental health population. Young men and older women were more likely to contact A&E, both overall and within mental health populations and were also more likely to be frequent attendees at A&E. Four distinct groups (typologies) of mental health patients attending A&E emerged: young, male frequent attendees with self-inflicted and other traumatic injuries; young females also presenting with self-harm; older patients with multiple medical conditions; and very old patients with cardiac conditions and fractures. CONCLUSION The study indicates increased A+E service use and unmet health-related need within a total mental health population. It identifies specific 'care populations' particularly vulnerable to accidents and self-harm and highlights the need for targeted services for mentally ill groups who may not access traditional health and social care services effectively.
PROFILE OF MEMBRANOUS NEPHROPATHY IN MOROCCAN PATIENTS: EXPERIENCE OF NEPHROLOGY DEPARTMENT IN RABAT-MOROCCO

Introduction: Membranous nephropathy is the most common cause of primary nephrotic syndromes in adults. Our study aims to describe the epidemiological, clinical, pathological and therapeutic aspects of patients with this condition in Morocco. Patients and Methods: We conducted a retrospective study in the nephrology department at Ibn Sina University Hospital in Rabat-Morocco, from January 2006 to December 2016. We included all cases of diagnosed MN, with a kidney biopsy and followed for at least 04 years. Results: Over 10 years, we identified 71 cases of MN; the mean age in our patients was 43.5 years old “[20-76]” with a female predominance and a sex ratio of 0.8. Proteinuria was the main revealing sign; it was nephrotic in 87% of cases. Kidney failure was noted in 38%. Phospholipase A2 receptor antibodies were carried out in 43 cases and were positive in 24 patients (55.8%). Histologically, 47 patients had stage II MN, associated with interstitial fibrosis exceeding 50% in 10 patients. MN was idiopathic in 58 cases and secondary in 13. The etiologies retained were infectious (5 cases), autoimmune (5 cases) and neoplastic in 3 cases. Concerning idiopathic MN, all 58 patients received treatment with renin-angiotensin –aldosterone system blockers for 6 months. Twenty three of them received immunosuppressive therapy and only one patient received anti-CD20 therapy. Eighteen patients had complete remission after a mean follow-up of 8.4 months and 25 had partial remission. Five patients were in chronic renal failure and chronic end-stage renal failure was reported in 10 cases. Twelve patients relapsed after a mean delay of 20 months; seven of them were treated according to the classic Ponticelli protocol. Kidney failure at admission and interstitial fibrosis exceeding 50% were factors of poor renal prognosis. Conclusion: According to our study, primary MN is the most frequent in Moroccan patients; kidney failure at admission and interstitial fibrosis >50% seems to be associated to poor renal prognosis.
Mind the level: problems with two recent nation-level analyses in psychology

Two recent articles (both published in Psychological Science) rely on nation-level data to address questions about psychological processes: Oishi and Diener (2014), referred to here as “OD,” and Hershfield et al. (2014), referred to as “HBW. ” In our opinion, both articles contain problems with regard to the use and interpretation of nation-level data. The problems are (1) the failure to account for the statistical dependence of countries within regions, (2) the use of nation-level data with questionable reliability, and (3) a confusion between individual and national levels of analysis.
Virtual Energy Storage Sharing and Capacity Allocation

Energy storage can play an important role in energy management of end users. To promote an efficient utilization of energy storage, we develop a novel business model to enable virtual storage sharing among a group of users. Specifically, a storage aggregator invests and operates the central physical storage unit, by virtualizing it into separable virtual capacities and selling to users. Each user purchases the virtual capacity, and utilize it to reduce the energy cost. We formulate the interaction between the aggregator and users as a two-stage optimization problem. In Stage 1, over the investment horizon, the aggregator determines the investment and pricing decisions. In Stage 2, in each operational horizon, each user decides the virtual capacity to purchase together with the operation of the virtual storage. We characterize a stepwise form of the optimal solution of Stage-2 problem and a piecewise linear structure of the optimal profit of Stage-1 problem, both with respect to the virtual capacity price. Based on the solution structure, we design an algorithm to attain the optimal solution of the two-stage problem. In our simulation results, the proposed storage virtualization model can reduce the physical energy storage investment of the aggregator by 54.3% and reduce the users’ total costs by 34.7%, compared to the case where users acquire their own physical storage.
Inter-and Intra-Gender

The two objectives of this study were to examine if motivations for casino gambling vary by gender and, based on motivations for casino gambling, to ascertain different types of male and female gamblers. To accomplish these objectives, five casino motivation scales were developed. Nine hundred male and female casino patrons living in two major Canadian metropolitan areas completed a telephone questionnaire. Male study participants rated risk-taking/gambling as a rush and learning/cognitive self-classification as being more important than did female participants. Two types of male casino gamblers existed: men who gave primacy to risk-taking/gambling as a rush and emotional self-classification, and men who gave primacy to communing. Three types of female casino gamblers existed: women who gave primacy to emotional self-classification and escaping everyday problems, women who gave primacy to communing and emotional self-classification, and women who gave primacy to communing alone. Gender theory was used to explain these findings, and study limitations and future research recommendations were also discussed.
Learning from power system data stream: phasor-detective approach

Assuming access to synchronized stream of Phasor Measurement Unit (PMU) data over a significant portion of a power system interconnect, say controlled by an Independent System Operator (ISO), what can you extract about past, current and future state of the system? We have focused on answering these practical questions pragmatically — empowered with nothing but standard tools of data analysis, such as PCA, filtering and cross-correlation analysis. Quite surprisingly we have found that even during quiet “no significant events” periods this standard set of statistical tools allows the “phasor-detective” to extract from the data important hidden anomalies, such as problematic control loops at loads and wind farms, and mildly malfunctioning assets, such as transformers and generators. We also discuss and sketch future challenges a mature phasor-detective can possibly tackle by adding machine learning and physics modeling sophistication to the basic approach.
Genocchi Wavelet-like Operational Matrix and its Application for Solving Non-linear Fractional Differential Equations

Abstract In this work, we propose a new operational method based on a Genocchi wavelet-like basis to obtain the numerical solutions of non-linear fractional order differential equations (NFDEs). To the best of our knowledge this is the first time a Genocchi wavelet-like basis is presented. The Genocchi wavelet-like operational matrix of a fractional derivative is derived through waveletpolynomial transformation. These operational matrices are used together with the collocation method to turn the NFDEs into a system of non-linear algebraic equations. Error estimates are shown and some illustrative examples are given in order to demonstrate the accuracy and simplicity of the proposed technique.
Modélisation et analyse des interactions entre écoulements à surface libre et objets flottants. (Modeling and analysis of interactions between free surface flows and floating structures)

This thesis is about the modeling and the numerical approximation of flows in the presence of a structure at the surface. We consider the floating body problem on a large space scale. It is motivated by applications for geophysical phenomena such as flows under the ice floe and renewable energy production using wave energy converters. We derive a shallow water model with a supplementary congestion constraint. The congestion constraint is a challenging problem for the numerical approximation of hyperbolic equations. Thus we propose a unified model based on a pseudo-compressible relaxation for the resolution. We identify the mandatory properties for the numerical scheme and describe the adaptation of a numerical scheme based on a finite volume method. The well-balanced property and the dissipation of mechanical energy are ensured under a non-restrictive condition on the time step. To take into account freely floating objects, we introduce a coupling between the congested shallow water model and the equations given by Newton's second law of motion and focus on the energy of the coupled system. Indeed, the latter is of major interest for energy production. A Newmark scheme is used to solve the solid dynamics and coupled to the fluid scheme. We propose an entropy correction based on an adapted choice of discretization for the coupling terms in order to ensure a dissipation law at the discrete level. A validation is established in the one dimensional case using stationary and non-stationary analytical solutions.
Communications of the Association for Information Systems Communications of the Association for Information Systems

: Replicability represents the cornerstone of reliable development in science. In this paper, we develop a framework for enhancing current data-collection practices’ replicability in survey research in information systems. To develop the framework, we built on literature, benchmarks of various scientific associations, and a review of policies and best practices in leading business journals. The framework identifies best practices for transparently collecting data, sharing data and methods, and developing high-quality evidence. We analyzed 82 recently published survey research in nine IS journals as a sample that represents high-quality IS research to identify their replicability and found that not one papers provided enough details for replication. We conclude by discussing our framework’s implications for researchers, journals, and scientific institutions and the role that these entities can play in enhancing IS research’s replicability.