Miracle-dz/UniFAR-FTUs huggingface dataset:
Microbes and Mental Illness: Past, Present, and Future

A review of the association between microbes and mental illness is performed, including the history, relevant definitions, infectious agents associated with mental illnesses, complex interactive infections, total load theory, pathophysiology, psychoimmunology, psychoneuroimmunology, clinical presentations, early-life infections, clinical assessment, and treatment. Perspectives on the etiology of mental illness have evolved from demonic possession toward multisystem biologically based models that include gene expression, environmental triggers, immune mediators, and infectious diseases. Microbes are associated with a number of mental disorders, including autism, schizophrenia, bipolar disorder, depressive disorders, and anxiety disorders, as well as suicidality and aggressive or violent behaviors. Specific microbes that have been associated or potentially associated with at least one of these conditions include Aspergillus, Babesia, Bartonella, Borna disease virus, Borrelia burgdorferi (Lyme disease), Candida, Chlamydia, coronaviruses (e.g., SARS-CoV-2), Cryptococcus neoformans, cytomegalovirus, enteroviruses, Epstein–Barr virus, hepatitis C, herpes simplex virus, human endogenous retroviruses, human immunodeficiency virus, human herpesvirus-6 (HHV-6), human T-cell lymphotropic virus type 1, influenza viruses, measles virus, Mycoplasma, Plasmodium, rubella virus, Group A Streptococcus (PANDAS), Taenia solium, Toxoplasma gondii, Treponema pallidum (syphilis), Trypanosoma, and West Nile virus. Recognition of the microbe and mental illness association with the development of greater interdisciplinary research, education, and treatment options may prevent and reduce mental illness morbidity, disability, and mortality.
A Predictive Model for Distant Metastasis in Patients With Breast Cancer Based on Machine Learning

Purpose: Breast cancer starts as a local disease, but can metastasize to distant organs. In this study, we described an easy-to-use tool for predicting distant metastases based on clinical characteristics and gene expression profiles. Methods: We performed a retrospective chart review of 326 patients with breast cancer who underwent surgery and CancerSCANTM between January 2001 and December 2014 at the Samsung Medical Center. Additional retrospective data for 83 patients during 2015 were used for internal validation. CancerSCANTM, a next-generation sequencing-based targeted deep sequencing analysis, was used for gene analysis, and Azure Machine Learning (ML) was used for the ML processes. Results: The no-distant metastasis group comprised 267 patients, while the distant metastasis group comprised 59. Using the Azure ML platform, a predictive model was developed with 326 cases. The area under the curve of the receiver operating characteristic curve for predictive value was 0.917. Based on the internal validation performed using 83 patients, the true-negative was 81 and the true-positive was two when a threshold value of 0.5 was applied. Conclusion: Patients with breast cancer are at risk of metastasis and experience fear throughout their lives. Our predictive model is a valuable and easy-to-access tool for identifying patients with distant metastasis and it presents a way for each institution to achieve optimal results using its variables. Further evaluation with a larger patient population will improve the reliability of this model.
Comparison of hyperbaric oxygen therapy pressures for acute carbon monoxide poisoning

Purpose: No consensus currently exists regarding the maximal pressure of hyperbaric oxygen (HBO2) therapy performed within 24 hours of acute carbon monoxide (CO) poisoning. This study aimed to evaluate the difference in therapeutic effects according to the first HBO2 pressure (3.0 atmospheres absolute [ATA] vs. 2.8 ATA). Methods: We used prospectively collected registry data on CO poisoning at a tertiary academic hospital in the Republic of Korea. Adult patients with acute CO poisoning treated with HBO2 within 24 hours after arrival at the emergency department and without the use of additional HBO2 after 24 hours between January 2007 and February 2022 were included. Data from 595 patients were analyzed using propensity score matching (PSM). Patients with mild (non-intubated) and severe (intubated) poisoning were also compared. Neurocognitive outcomes at 1 month after CO poisoning were evaluated using the Global Deterioration Scale combined with neurological impairment.Results: After PSM, the neurocognitive outcomes at 1-month post-CO exposure were not significantly different between the 2.8 ATA (110 patients) and 3.0 ATA (55 patients) groups (p=1.000). Similarly, there was also no significant difference in outcomes in a subgroup analysis according to poisoning severity in matched patients (165 patients) (mild [non-intubated]: p=0.053; severe [intubated]: p=1.000). Conclusion: Neurocognitive sequelae at 1 month were not significantly different between HBO2 therapy pressures of 2.8 ATA and 3.0 ATA in patients with acute CO poisoning. In addition, the 1-month neurocognitive sequelae did not differ significantly between intubated and non-intubated patients.
Glacial/interglacial Cycles in the Norwegian Sea: Sedimentology, Paleoceanography, and Evolution of Late Pliocene to Quaternary Northern Hemisphere Climate

The long-term record of glacial/interglacial cycles indicates three major paleoceanographic regimes in the Norwegian Sea. The period since the first major glaciation over Scandinavia at 2.56 Ma is characterized by high-frequency, low-amplitude oscillations of ice-rafted debris inputs, a lowered salinity, and decreased carbonate shell production in surface waters as well as overall strong carbonate dissolution at the sea floor. These conditions indicate a more zonal circulation pattern in the Northern Hemisphere and a relative isolation of surface and bottom waters in the Norwegian Sea. The generally temperate glacial climate was only interrupted by episodic weak intrusions of warm Atlantic waters. These intrusions have been detected in considerable magnitude only at Site 644, and thus are restricted to areas much closer to the Norwegian shelf than during earlier periods. The interval from 1.2 to 0.6 Ma is characterized by an increase in carbonate shell production and a better preservation, as well as a change in frequency patterns of ice-rafted debris inputs. This pattern reflects increasing meridionality in circulation-strengthening contrasts in the Norwegian Sea between strong glaciations and warm interglacials. The past 0.6 Ma reveal high-amplitude oscillations in carbonate records that are dominated by the 100-k.y. frequency pattern. Glacial/interglacial sedimentary cycles in the ODP Leg 104 drill sites reveal a variety of specific dark lithofacies. These dark diamictons reflect intense iceberg rafting in surface waters fed by surges along the front of marine-based parts of the continental ice sheets in the southeastern sector of the Norwegian Sea and are associated with resuspension of reworked fossil organic carbon and strong dissolution at the sea floor. Piling up of huge iceberg barriers along the Iceland-Faeroe-Scotland Ridge might have partially blocked off surface water connections with the North Atlantic during these periods.
NRC Publications Archive Archives des publications du CNRC

Geometric models created from range sensors are usually incomplete. Considerable effort has been made to ﬁx this problem, ranging from manual repairing to geometric interpolation. We propose using multi-view stereo to complete such models. Our approach is practical and convenient because when scanning and object or environment one usually takes photographs to texture the resulting model. By using the incomplete scan data as a boundary condition, we use a variational multi-view approach to estimate the missing data.
as an Alternative Mechanism to Resolve Family

: Mental well-being as a subject is much integrated with other fields of knowledge. Thus, in this study, chosen variables common to other constructs in different fields of knowledge such as self-development, self-acceptance, personal goal, resilience, piety, hope and social interest were used as significant constructs to correlate positively with mental well-being. The Warwick-Edinburgh Mental Well-Being Scale (W-EMWS) was mainly used to gauge mental well-being among respondents in this study. The focus of the study was to investigate the mental well-being among the diverse Muslim groups in selected cities in different countries with differences in nationalities, cultures, and values. The study was to determine whether religiosity values among the different Muslim groups contributed to their mental well-being. A sample size of 989 respondents was selected from Istanbul, Republic of Türkiye; Kuala Lumpur, Malaysia; Lagos, Nigeria; and London, United Kingdom. The results from this study indicated that several factors such as self-acceptance, social interest, and self-development significantly correlated to mental well-being among Muslim respondents. As predicted, the study shows varying degrees
Identification of high-risk patients for early death or unplanned readmission using the LACE index in an older Portuguese population [version 1; peer review: 1 approved, 1 approved with reservations]

Background: Unplanned readmissions are frequent, associated with high costs and potentially preventable. Pre-discharge risk screening is a crucial step to prevent hospital readmissions. This study evaluates the LACE index as a tool capable of identifying patients with high risk of early readmission or death in an older Portuguese population. Methods: We performed a retrospective study in a tertiary care hospital in Portugal. All acute patients, aged ≥ 65 years, discharged from the Internal Medicine Service between 1 January and 30 June 2014 were included. Data was collected from hospital records. The LACE index was calculated for each patient. A comparative analysis was performed based on a cutoff of 10 (≥10 indicates a high-risk population) for the LACE score. Results: 1407 patients were evaluated, with a mean age of 81.7±7.6 years; 41.2% were male, 52.2% were dependent for ≥1 activities of daily living, the average Charlson comorbidity index was 3.54±2.8. There were 236 (16.8%) readmissions, 132 (9.4%) deaths and 307 (21.8%) patients were dead and/or readmitted within 30 days of discharge. At 90 days, 523 (37.2%
Riparian areas: perceptions in management.

A Narrow Strip of Land Until a few years ago, the phrase 'riparian zone" was used primarily by researchers and managers in the arid Southwest. Their primary concern was the role of streamside vegetation (phreatophytes) in water loss from streams. Such is no longer the case. Today, throughout eastern Oregon and other parts of the West, people with diverse backgrounds and interests are taking notice of riparian zones for a variety of reasons.
A Lightweight Approach Towards Speaker Authentication Systems

In a world where traditional authentication systems are constrained, the introduction of voice-based authentication provides a viable option. This cutting-edge biometric security method uses unique vocal traits including pitch, tone, and speech patterns to create a unique voiceprint. Its sophisticated and dependable veriﬁcation procedure, when combined with voice-activated services and secure access systems, not only solves au-thentication issues but also improves user experience overall. Our suggested method provides a thorough blueprint for developing a lightweight voice authentication system that is based on text. This system leverages an eﬀective encoder model to convert voice spectrograms, making deployment easy even on edge devices with limited resources. Various dimensionality reduction techniques are explored to obtain optimal voice embeddings that capture speaker uniqueness while minimizing model complexity. A key novelty is the application of model compression techniques including lightweight architectures and Siamese Networks to obtain highly condensed voice embeddings for each user, reducing storage and infrastructure costs compared to traditional voice authentication methods. The proposed lightweight spectrogram embeddings leverage language-agnostic acoustic features, enabling language-independent speaker veriﬁcation. Additionally, dimensionality reduction applied during voice registration allows the capturing of discriminative voice characteristics in a low-dimensional compact feature space. This signiﬁcantly cuts down the storage requirements and infrastructure costs per user compared to standard voice biometric approaches, while retaining competitive veriﬁcation performance. The architecture is optimized for responsiveness by leveraging lightweight frameworks. The proposed system delivers competitive voice authentication capabilities while minimizing memory, computational, and energy footprints. This makes the system useful for integration into smart devices and paves the way for ubiquitous voice biometrics.
Positionings Towards the ‘Work-Dogma’ from the Margins: Making Sense of Vulnerabilities and Inequalities in the Interview Situation

The norm of wage labor imposes itself on the unemployed as a material, legal and symbolic-discursive order. As ‘deviants’ from the norm, unemployed people are often confronted with pejorative judgments or social exclusion in everyday life. This paper asks how differently positioned unemployed people living in precarious circumstances position themselves in relation to the norm of employment and critique its accompanying social order. Based on the experiences with 25 interviewees, the paper argues that the social inequalities and power relations associated with the work-dogma permeate the research situation itself. This epistemic tension provides a methodological opportunity to place the interview situation and the mutual address between researcher and interviewee at the center of the analysis. Inspired by Situational Analysis (Clarke) and Interpretative Subjectivation Analysis (Bosančić), a heuristic is developed that focuses on inequalities and vulnerabilities in the research situation. The analysis of the interview dynamics reveals different modes of self-positioning with respect to the wage-labor norm, ranging from an embarrassed subordination under discursively transported subject positions to forms of critical appropriation and affective rejection. By identifying different self-positionings that challenge the norm of employment, the paper situates itself in ongoing debates within critical sociology, feminist epistemology and social philosophy about possibilities of criticism from the margins, arguing for a pluralistic and relational understanding of subversive practices and articulations of critique.
This paper is included

Compilers assure that any produced optimized code is semantically equivalent to the original code. However, even “correct” compilers may introduce security bugs as security properties go beyond translation correctness. Security bugs introduced by such correct compiler behaviors can be dis-putable; compiler developers expect users to strictly follow language specifications and understand all assumptions, while compiler users may incorrectly assume that their code is secure. Such bugs are hard to find and prevent, especially when it is unclear whether they should be fixed on the compiler or user side. Nevertheless, these bugs are real and can be severe, thus should be studied carefully. We perform a comprehensive study on compiler-introduced security bugs (CISB) and their root causes. We collect a large set of CISB in the wild by manually analyzing 4,827 potential bug reports of the most popular compilers (GCC and Clang), distilling them into a taxonomy of CISB. We further conduct a user study to understand how compiler users view compiler behaviors. Our study shows that compiler-introduced security bugs are common and may have serious security impacts. It is unrealistic to expect compiler users to understand and comply with compiler assumptions. For example, the “no-undefined-behavior” assumption has become a nightmare for users and a major cause of CISB.
A Computationally Efficient Electromagnetic Wave Scattering Analysis Method for Electrically Large Multilayered Dielectric Structures

The paper presents a computationally efficient method based on the modified equivalent current approximation for electromagnetic wave scattering analysis of electrically large multilayered lossy dielectric structures. The proposed method can be an effective alternative to commercially available tools and methods, which tend to become computationally intensive with increase in size and losses of structures. The proposed method is applied to compute the radar cross-section of various multilayered dielectric and coated PEC structures for both TE and TM polarization under normal and oblique incidences and compared with method of moments (MoM). The result shows excellent agreement and reduced computational resources and time by a factor of fifteen compared to MoM. The proposed method can be applied directly to study scattering problems involving electrically large multilayer dielectric and conducting structures.
This paper is included in the Proceedings of the 32nd USENIX Security Symposium.

This paper introduces protocols for authenticated private information retrieval. These schemes enable a client to fetch a record from a remote database server such that (a) the server does not learn which record the client reads, and (b) the client either obtains the “authentic” record or detects server misbehavior and safely aborts. Both properties are crucial for many applications. Standard private-information-retrieval schemes either do not ensure this form of output authenticity, or they require multiple database replicas with an honest majority. In contrast, we offer multi-server schemes that protect security as long as at least one server is honest. Moreover, if the client can obtain a short digest of the database out of band, then our schemes require only a single server. Performing an authenticated private PGP-public-key lookup on an OpenPGP key server’s database of 3.5 million keys (3 GiB), using two non-colluding servers, takes under 1.2 core-seconds of computation, essentially matching the time taken by unau-thenticated private information retrieval. Our authenticated single-server schemes are 30-100 × more costly than state-of-the-art unauthenticated single-server schemes, though they achieve incomparably stronger integrity properties.
Explaining riﬂe shooting factors through multi-sensor body tracking

There is a lack of data-driven training instructions for sports shooters, as instruction has commonly been based on subjective assessments. Many studies have correlated body posture and balance to shooting performance in riﬂe shooting tasks, but most of them have focused on single aspects of postural control. This thesis has focused on ﬁnding relevant riﬂe shooting factors by examining the entire body over sequences of time. We performed a data collection with 13 human participants who carried out live riﬂe shooting scenarios while being recorded with multiple biometric sensors, including several body trackers. An experiment was conducted to identify what aspects of riﬂe shooting could be predicted and explained using these data. We employed a pre-processing pipeline to produce a novel skeleton sequence representation, and used it to train a transformer model. The predictions from this model could be explained on a per sample basis using the attention mechanism, and visualised in an interactive format for humans to interpret. It was possible to separate the different phases of a shooting scenario from body posture with a high classiﬁcation accuracy (81%) . However, no correlation could be shown between shooting performance and body posture from our data. Future work could focus on novel feature engineering, and on examining alternative machine learning approaches. The dataset and pre-processing pipeline, as well as the techniques for generating explainable predictions presented in this thesis has laid the groundwork for future research in the sports shooting domain.
Integrated Simulation Approach for Dynamic Distributed Evacuation Guidance Under Fire Spread and Rare but Catastrophic Events

The dynamics of smoke, ﬁre, and toxic gases inside a building is complex and diﬃcult to predict. Models have been used to analyze and develop eﬃcient evacuation protocols for ﬁre-spread evacuation situations. In this study, an integrated model that includes ﬁre spread, evacuation agent, and evacuation guidance signage models, is developed as an eﬃcient control mechanism for a dynamically distributed evacuation guidance system. This mechanism is based on Tsurushimaˆa \ euros distributed algorithm, which does not assume any central control and only requires local information in providing eﬃcient evacuation guidance, thereby minimizing total evacuation time while directing evacuees away from hazards. The parameters of the mechanism were calibrated to mitigate the occurrence of low-probability catastrophic events, which is crucial in the development of evacuation guidance protocols.
FATIGUE STRENGTH OF SIGNAL MAST ARM CONNECTIONS

Changes in the AASHTO Standard Specifications for Structural Supports for Highway Signs, Luminaires, and Traffic Signals and an increasing rate of fatigue related problems have raised awareness of fatigue concerns in traffic signal mast arms. Prior research has indicated that the most commonly used connection details exhibit poor fatigue performance. This study was initiated to confirm the previous research results, as well as to investigate a larger variety of connection details and a weld treatment method. During this study, 55 full-size mast arm connection detail specimens were tested for fatigue resistance. The present specifications were found to overestimate the fatigue life of connections with stiffeners. The results indicate that the Ultrasonic Impact Treatment (UIT) weld treatment can significantly improve the fatigue life of a fillet-welded socket connection detail. Several other connection details exhibited improved fatigue lives; however, the improvements were not as significant as the UIT treated specimens. An extensive finite element analysis generated stress concentration factors for a variety of connection geometries. These finite element analyses extended the range of geometries beyond those included in the experimental study.
The Design of Land Survey Integrative Electron Platform

Based on the operation process of land survey,the land survey integrative electron platform is designed and produced. The function of field data collection, spatial data management and information distribution are integrated in the platform which involves almost aspects of the process of land survey. So it can ultimately solve these problems that exist in traditional land survey , such as difficult communication between products, incompact integration level and low special function etc. 2figs. ,9refs.